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/-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Violeta Hernández Palacios, Grayson Burton, Floris van Doorn
-/
import Mathlib.Order.Antisymmetrization
import Mathlib.Order.Hom.WithTopBot
import Mathlib.Order.Interval.Set.OrdConnected
import Mathlib.Order.Interval.Set.WithBotTop
/-!
# The covering relation
This file proves properties of the covering relation in an order.
We say that `b` *covers* `a` if `a < b` and there is no element in between.
We say that `b` *weakly covers* `a` if `a ≤ b` and there is no element between `a` and `b`.
In a partial order this is equivalent to `a ⋖ b ∨ a = b`,
in a preorder this is equivalent to `a ⋖ b ∨ (a ≤ b ∧ b ≤ a)`
## Notation
* `a ⋖ b` means that `b` covers `a`.
* `a ⩿ b` means that `b` weakly covers `a`.
-/
open Set OrderDual
variable {α β : Type*}
section WeaklyCovers
section Preorder
variable [Preorder α] [Preorder β] {a b c : α}
theorem WCovBy.le (h : a ⩿ b) : a ≤ b :=
h.1
theorem WCovBy.refl (a : α) : a ⩿ a :=
⟨le_rfl, fun _ hc => hc.not_lt⟩
@[simp] lemma WCovBy.rfl : a ⩿ a := WCovBy.refl a
protected theorem Eq.wcovBy (h : a = b) : a ⩿ b :=
h ▸ WCovBy.rfl
theorem wcovBy_of_le_of_le (h1 : a ≤ b) (h2 : b ≤ a) : a ⩿ b :=
⟨h1, fun _ hac hcb => (hac.trans hcb).not_le h2⟩
alias LE.le.wcovBy_of_le := wcovBy_of_le_of_le
theorem AntisymmRel.wcovBy (h : AntisymmRel (· ≤ ·) a b) : a ⩿ b :=
wcovBy_of_le_of_le h.1 h.2
theorem WCovBy.wcovBy_iff_le (hab : a ⩿ b) : b ⩿ a ↔ b ≤ a :=
⟨fun h => h.le, fun h => h.wcovBy_of_le hab.le⟩
theorem wcovBy_of_eq_or_eq (hab : a ≤ b) (h : ∀ c, a ≤ c → c ≤ b → c = a ∨ c = b) : a ⩿ b :=
⟨hab, fun c ha hb => (h c ha.le hb.le).elim ha.ne' hb.ne⟩
theorem AntisymmRel.trans_wcovBy (hab : AntisymmRel (· ≤ ·) a b) (hbc : b ⩿ c) : a ⩿ c :=
⟨hab.1.trans hbc.le, fun _ had hdc => hbc.2 (hab.2.trans_lt had) hdc⟩
theorem wcovBy_congr_left (hab : AntisymmRel (· ≤ ·) a b) : a ⩿ c ↔ b ⩿ c :=
⟨hab.symm.trans_wcovBy, hab.trans_wcovBy⟩
theorem WCovBy.trans_antisymm_rel (hab : a ⩿ b) (hbc : AntisymmRel (· ≤ ·) b c) : a ⩿ c :=
⟨hab.le.trans hbc.1, fun _ had hdc => hab.2 had <| hdc.trans_le hbc.2⟩
theorem wcovBy_congr_right (hab : AntisymmRel (· ≤ ·) a b) : c ⩿ a ↔ c ⩿ b :=
⟨fun h => h.trans_antisymm_rel hab, fun h => h.trans_antisymm_rel hab.symm⟩
/-- If `a ≤ b`, then `b` does not cover `a` iff there's an element in between. -/
theorem not_wcovBy_iff (h : a ≤ b) : ¬a ⩿ b ↔ ∃ c, a < c ∧ c < b := by
simp_rw [WCovBy, h, true_and, not_forall, exists_prop, not_not]
instance WCovBy.isRefl : IsRefl α (· ⩿ ·) :=
⟨WCovBy.refl⟩
theorem WCovBy.Ioo_eq (h : a ⩿ b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ hx => h.2 hx.1 hx.2
theorem wcovBy_iff_Ioo_eq : a ⩿ b ↔ a ≤ b ∧ Ioo a b = ∅ :=
and_congr_right' <| by simp [eq_empty_iff_forall_not_mem]
lemma WCovBy.of_le_of_le (hac : a ⩿ c) (hab : a ≤ b) (hbc : b ≤ c) : b ⩿ c :=
⟨hbc, fun _x hbx hxc ↦ hac.2 (hab.trans_lt hbx) hxc⟩
lemma WCovBy.of_le_of_le' (hac : a ⩿ c) (hab : a ≤ b) (hbc : b ≤ c) : a ⩿ b :=
⟨hab, fun _x hax hxb ↦ hac.2 hax <| hxb.trans_le hbc⟩
theorem WCovBy.of_image (f : α ↪o β) (h : f a ⩿ f b) : a ⩿ b :=
⟨f.le_iff_le.mp h.le, fun _ hac hcb => h.2 (f.lt_iff_lt.mpr hac) (f.lt_iff_lt.mpr hcb)⟩
theorem WCovBy.image (f : α ↪o β) (hab : a ⩿ b) (h : (range f).OrdConnected) : f a ⩿ f b := by
refine ⟨f.monotone hab.le, fun c ha hb => ?_⟩
obtain ⟨c, rfl⟩ := h.out (mem_range_self _) (mem_range_self _) ⟨ha.le, hb.le⟩
rw [f.lt_iff_lt] at ha hb
exact hab.2 ha hb
theorem Set.OrdConnected.apply_wcovBy_apply_iff (f : α ↪o β) (h : (range f).OrdConnected) :
f a ⩿ f b ↔ a ⩿ b :=
⟨fun h2 => h2.of_image f, fun hab => hab.image f h⟩
@[simp]
theorem apply_wcovBy_apply_iff {E : Type*} [EquivLike E α β] [OrderIsoClass E α β] (e : E) :
e a ⩿ e b ↔ a ⩿ b :=
(ordConnected_range (e : α ≃o β)).apply_wcovBy_apply_iff ((e : α ≃o β) : α ↪o β)
@[simp]
theorem toDual_wcovBy_toDual_iff : toDual b ⩿ toDual a ↔ a ⩿ b :=
and_congr_right' <| forall_congr' fun _ => forall_swap
@[simp]
theorem ofDual_wcovBy_ofDual_iff {a b : αᵒᵈ} : ofDual a ⩿ ofDual b ↔ b ⩿ a :=
and_congr_right' <| forall_congr' fun _ => forall_swap
alias ⟨_, WCovBy.toDual⟩ := toDual_wcovBy_toDual_iff
alias ⟨_, WCovBy.ofDual⟩ := ofDual_wcovBy_ofDual_iff
theorem OrderEmbedding.wcovBy_of_apply {α β : Type*} [Preorder α] [Preorder β]
(f : α ↪o β) {x y : α} (h : f x ⩿ f y) : x ⩿ y := by
use f.le_iff_le.1 h.1
intro a
rw [← f.lt_iff_lt, ← f.lt_iff_lt]
apply h.2
theorem OrderIso.map_wcovBy {α β : Type*} [Preorder α] [Preorder β]
(f : α ≃o β) {x y : α} : f x ⩿ f y ↔ x ⩿ y := by
use f.toOrderEmbedding.wcovBy_of_apply
conv_lhs => rw [← f.symm_apply_apply x, ← f.symm_apply_apply y]
exact f.symm.toOrderEmbedding.wcovBy_of_apply
end Preorder
section PartialOrder
variable [PartialOrder α] {a b c : α}
theorem WCovBy.eq_or_eq (h : a ⩿ b) (h2 : a ≤ c) (h3 : c ≤ b) : c = a ∨ c = b := by
rcases h2.eq_or_lt with (h2 | h2); · exact Or.inl h2.symm
rcases h3.eq_or_lt with (h3 | h3); · exact Or.inr h3
exact (h.2 h2 h3).elim
/-- An `iff` version of `WCovBy.eq_or_eq` and `wcovBy_of_eq_or_eq`. -/
theorem wcovBy_iff_le_and_eq_or_eq : a ⩿ b ↔ a ≤ b ∧ ∀ c, a ≤ c → c ≤ b → c = a ∨ c = b :=
⟨fun h => ⟨h.le, fun _ => h.eq_or_eq⟩, And.rec wcovBy_of_eq_or_eq⟩
theorem WCovBy.le_and_le_iff (h : a ⩿ b) : a ≤ c ∧ c ≤ b ↔ c = a ∨ c = b := by
refine ⟨fun h2 => h.eq_or_eq h2.1 h2.2, ?_⟩; rintro (rfl | rfl)
exacts [⟨le_rfl, h.le⟩, ⟨h.le, le_rfl⟩]
theorem WCovBy.Icc_eq (h : a ⩿ b) : Icc a b = {a, b} := by
ext c
exact h.le_and_le_iff
theorem WCovBy.Ico_subset (h : a ⩿ b) : Ico a b ⊆ {a} := by
rw [← Icc_diff_right, h.Icc_eq, diff_singleton_subset_iff, pair_comm]
theorem WCovBy.Ioc_subset (h : a ⩿ b) : Ioc a b ⊆ {b} := by
rw [← Icc_diff_left, h.Icc_eq, diff_singleton_subset_iff]
end PartialOrder
section SemilatticeSup
variable [SemilatticeSup α] {a b c : α}
theorem WCovBy.sup_eq (hac : a ⩿ c) (hbc : b ⩿ c) (hab : a ≠ b) : a ⊔ b = c :=
(sup_le hac.le hbc.le).eq_of_not_lt fun h =>
| hab.lt_sup_or_lt_sup.elim (fun h' => hac.2 h' h) fun h' => hbc.2 h' h
end SemilatticeSup
| Mathlib/Order/Cover.lean | 173 | 175 |
/-
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
| Mathlib/Dynamics/Circle/RotationNumber/TranslationNumber.lean | 751 | 753 |
/-
Copyright (c) 2020 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying
-/
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.Algebra.Group.Submonoid.BigOperators
import Mathlib.Data.Finite.Card
import Mathlib.Data.Set.Finite.Range
/-!
# Subgroups
This file provides some result on multiplicative and additive subgroups in the finite context.
## Tags
subgroup, subgroups
-/
assert_not_exists Field
variable {G : Type*} [Group G]
variable {A : Type*} [AddGroup A]
namespace Subgroup
@[to_additive]
instance (K : Subgroup G) [DecidablePred (· ∈ K)] [Fintype G] : Fintype K :=
show Fintype { g : G // g ∈ K } from inferInstance
@[to_additive]
instance (K : Subgroup G) [Finite G] : Finite K :=
Subtype.finite
end Subgroup
/-!
### Conversion to/from `Additive`/`Multiplicative`
-/
namespace Subgroup
variable (H K : Subgroup G)
/-- Product of a list of elements in a subgroup is in the subgroup. -/
@[to_additive "Sum of a list of elements in an `AddSubgroup` is in the `AddSubgroup`."]
protected theorem list_prod_mem {l : List G} : (∀ x ∈ l, x ∈ K) → l.prod ∈ K :=
list_prod_mem
/-- Product of a multiset of elements in a subgroup of a `CommGroup` is in the subgroup. -/
@[to_additive "Sum of a multiset of elements in an `AddSubgroup` of an `AddCommGroup` is in
the `AddSubgroup`."]
protected theorem multiset_prod_mem {G} [CommGroup G] (K : Subgroup G) (g : Multiset G) :
(∀ a ∈ g, a ∈ K) → g.prod ∈ K :=
multiset_prod_mem g
@[to_additive]
theorem multiset_noncommProd_mem (K : Subgroup G) (g : Multiset G) (comm) :
(∀ a ∈ g, a ∈ K) → g.noncommProd comm ∈ K :=
K.toSubmonoid.multiset_noncommProd_mem g comm
/-- Product of elements of a subgroup of a `CommGroup` indexed by a `Finset` is in the
subgroup. -/
@[to_additive "Sum of elements in an `AddSubgroup` of an `AddCommGroup` indexed by a `Finset`
is in the `AddSubgroup`."]
protected theorem prod_mem {G : Type*} [CommGroup G] (K : Subgroup G) {ι : Type*} {t : Finset ι}
{f : ι → G} (h : ∀ c ∈ t, f c ∈ K) : (∏ c ∈ t, f c) ∈ K :=
prod_mem h
@[to_additive]
theorem noncommProd_mem (K : Subgroup G) {ι : Type*} {t : Finset ι} {f : ι → G} (comm) :
(∀ c ∈ t, f c ∈ K) → t.noncommProd f comm ∈ K :=
K.toSubmonoid.noncommProd_mem t f comm
@[to_additive (attr := simp 1100, norm_cast)]
theorem val_list_prod (l : List H) : (l.prod : G) = (l.map Subtype.val).prod :=
SubmonoidClass.coe_list_prod l
@[to_additive (attr := simp 1100, norm_cast)]
theorem val_multiset_prod {G} [CommGroup G] (H : Subgroup G) (m : Multiset H) :
(m.prod : G) = (m.map Subtype.val).prod :=
SubmonoidClass.coe_multiset_prod m
@[to_additive (attr := simp 1100, norm_cast)]
theorem val_finset_prod {ι G} [CommGroup G] (H : Subgroup G) (f : ι → H) (s : Finset ι) :
↑(∏ i ∈ s, f i) = (∏ i ∈ s, f i : G) :=
SubmonoidClass.coe_finset_prod f s
@[to_additive]
instance fintypeBot : Fintype (⊥ : Subgroup G) :=
⟨{1}, by
rintro ⟨x, ⟨hx⟩⟩
exact Finset.mem_singleton_self _⟩
@[to_additive]
theorem card_bot : Nat.card (⊥ : Subgroup G) = 1 := by simp
@[to_additive]
theorem card_top : Nat.card (⊤ : Subgroup G) = Nat.card G :=
Nat.card_congr Subgroup.topEquiv.toEquiv
@[to_additive]
theorem eq_of_le_of_card_ge {H K : Subgroup G} [Finite K] (hle : H ≤ K)
(hcard : Nat.card K ≤ Nat.card H) :
H = K :=
SetLike.coe_injective <| Set.Finite.eq_of_subset_of_card_le (Set.toFinite _) hle hcard
@[to_additive]
theorem eq_top_of_le_card [Finite G] (h : Nat.card G ≤ Nat.card H) : H = ⊤ :=
eq_of_le_of_card_ge le_top (Nat.card_congr (Equiv.Set.univ G) ▸ h)
@[to_additive]
theorem eq_top_of_card_eq [Finite H] (h : Nat.card H = Nat.card G) : H = ⊤ := by
have : Finite G := Nat.finite_of_card_ne_zero (h ▸ Nat.card_pos.ne')
exact eq_top_of_le_card _ (Nat.le_of_eq h.symm)
@[to_additive (attr := simp)]
theorem card_eq_iff_eq_top [Finite H] : Nat.card H = Nat.card G ↔ H = ⊤ :=
Iff.intro (eq_top_of_card_eq H) (fun h ↦ by simpa only [h] using card_top)
@[to_additive]
theorem eq_bot_of_card_le [Finite H] (h : Nat.card H ≤ 1) : H = ⊥ :=
let _ := Finite.card_le_one_iff_subsingleton.mp h
eq_bot_of_subsingleton H
@[to_additive]
theorem eq_bot_of_card_eq (h : Nat.card H = 1) : H = ⊥ :=
let _ := (Nat.card_eq_one_iff_unique.mp h).1
eq_bot_of_subsingleton H
@[to_additive card_le_one_iff_eq_bot]
theorem card_le_one_iff_eq_bot [Finite H] : Nat.card H ≤ 1 ↔ H = ⊥ :=
⟨H.eq_bot_of_card_le, fun h => by simp [h]⟩
@[to_additive] lemma eq_bot_iff_card : H = ⊥ ↔ Nat.card H = 1 :=
⟨by rintro rfl; exact card_bot, eq_bot_of_card_eq _⟩
@[to_additive one_lt_card_iff_ne_bot]
theorem one_lt_card_iff_ne_bot [Finite H] : 1 < Nat.card H ↔ H ≠ ⊥ :=
lt_iff_not_le.trans H.card_le_one_iff_eq_bot.not
@[to_additive]
theorem card_le_card_group [Finite G] : Nat.card H ≤ Nat.card G :=
Nat.card_le_card_of_injective _ Subtype.coe_injective
@[to_additive]
theorem card_le_of_le {H K : Subgroup G} [Finite K] (h : H ≤ K) : Nat.card H ≤ Nat.card K :=
Nat.card_le_card_of_injective _ (Subgroup.inclusion_injective h)
@[to_additive]
theorem card_map_of_injective {H : Type*} [Group H] {K : Subgroup G} {f : G →* H}
(hf : Function.Injective f) :
Nat.card (map f K) = Nat.card K := by
apply Nat.card_image_of_injective hf
@[to_additive]
theorem card_subtype (K : Subgroup G) (L : Subgroup K) :
Nat.card (map K.subtype L) = Nat.card L :=
card_map_of_injective K.subtype_injective
end Subgroup
namespace Subgroup
section Pi
open Set
variable {η : Type*} {f : η → Type*} [∀ i, Group (f i)]
@[to_additive]
theorem pi_mem_of_mulSingle_mem_aux [DecidableEq η] (I : Finset η) {H : Subgroup (∀ i, f i)}
(x : ∀ i, f i) (h1 : ∀ i, i ∉ I → x i = 1) (h2 : ∀ i, i ∈ I → Pi.mulSingle i (x i) ∈ H) :
x ∈ H := by
induction I using Finset.induction_on generalizing x with
| empty =>
have : x = 1 := by
ext i
exact h1 i (Finset.not_mem_empty i)
rw [this]
exact one_mem H
| insert i I hnmem ih =>
have : x = Function.update x i 1 * Pi.mulSingle i (x i) := by
ext j
by_cases heq : j = i
· subst heq
simp
· simp [heq]
rw [this]
clear this
apply mul_mem
· apply ih <;> clear ih
· intro j hj
by_cases heq : j = i
· subst heq
simp
· simpa [heq] using h1 j (by simpa [heq] using hj)
· intro j hj
have : j ≠ i := by
rintro rfl
contradiction
simp only [ne_eq, this, not_false_eq_true, Function.update_of_ne]
exact h2 _ (Finset.mem_insert_of_mem hj)
· apply h2
simp
@[to_additive]
theorem pi_mem_of_mulSingle_mem [Finite η] [DecidableEq η] {H : Subgroup (∀ i, f i)} (x : ∀ i, f i)
(h : ∀ i, Pi.mulSingle i (x i) ∈ H) : x ∈ H := by
cases nonempty_fintype η
exact pi_mem_of_mulSingle_mem_aux Finset.univ x (by simp) fun i _ => h i
/-- For finite index types, the `Subgroup.pi` is generated by the embeddings of the groups. -/
@[to_additive "For finite index types, the `Subgroup.pi` is generated by the embeddings of the
additive groups."]
theorem pi_le_iff [DecidableEq η] [Finite η] {H : ∀ i, Subgroup (f i)} {J : Subgroup (∀ i, f i)} :
pi univ H ≤ J ↔ ∀ i : η, map (MonoidHom.mulSingle f i) (H i) ≤ J := by
constructor
· rintro h i _ ⟨x, hx, rfl⟩
apply h
simpa using hx
· exact fun h x hx => pi_mem_of_mulSingle_mem x fun i => h i (mem_map_of_mem _ (hx i trivial))
end Pi
end Subgroup
namespace Subgroup
section Normalizer
theorem mem_normalizer_fintype {S : Set G} [Finite S] {x : G} (h : ∀ n, n ∈ S → x * n * x⁻¹ ∈ S) :
x ∈ Subgroup.setNormalizer S := by
haveI := Classical.propDecidable; cases nonempty_fintype S
haveI := Set.fintypeImage S fun n => x * n * x⁻¹
exact fun n =>
⟨h n, fun h₁ =>
have heq : (fun n => x * n * x⁻¹) '' S = S :=
Set.eq_of_subset_of_card_le (fun n ⟨y, hy⟩ => hy.2 ▸ h y hy.1)
| (by rw [Set.card_image_of_injective S conj_injective])
have : x * n * x⁻¹ ∈ (fun n => x * n * x⁻¹) '' S := heq.symm ▸ h₁
let ⟨y, hy⟩ := this
conj_injective hy.2 ▸ hy.1⟩
end Normalizer
| Mathlib/Algebra/Group/Subgroup/Finite.lean | 241 | 247 |
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Logic.Equiv.Defs
/-!
# A type for VM-erased data
This file defines a type `Erased α` which is classically isomorphic to `α`,
but erased in the VM. That is, at runtime every value of `Erased α` is
represented as `0`, just like types and proofs.
-/
universe u
/-- `Erased α` is the same as `α`, except that the elements
of `Erased α` are erased in the VM in the same way as types
and proofs. This can be used to track data without storing it
literally. -/
def Erased (α : Sort u) : Sort max 1 u :=
{ s : α → Prop // ∃ a, (a = ·) = s }
namespace Erased
/-- Erase a value. -/
@[inline]
def mk {α} (a : α) : Erased α :=
⟨fun b => a = b, a, rfl⟩
/-- Extracts the erased value, noncomputably. -/
noncomputable def out {α} : Erased α → α
| ⟨_, h⟩ => Classical.choose h
/-- Extracts the erased value, if it is a type.
Note: `(mk a).OutType` is not definitionally equal to `a`.
-/
abbrev OutType (a : Erased (Sort u)) : Sort u :=
out a
/-- Extracts the erased value, if it is a proof. -/
theorem out_proof {p : Prop} (a : Erased p) : p :=
out a
@[simp]
theorem out_mk {α} (a : α) : (mk a).out = a := by
let h := (mk a).2; show Classical.choose h = a
have := Classical.choose_spec h
exact cast (congr_fun this a).symm rfl
@[simp]
theorem mk_out {α} : ∀ a : Erased α, mk (out a) = a
| ⟨s, h⟩ => by simp only [mk]; congr; exact Classical.choose_spec h
@[ext]
theorem out_inj {α} (a b : Erased α) (h : a.out = b.out) : a = b := by simpa using congr_arg mk h
/-- Equivalence between `Erased α` and `α`. -/
noncomputable def equiv (α) : Erased α ≃ α :=
⟨out, mk, mk_out, out_mk⟩
instance (α : Type u) : Repr (Erased α) :=
⟨fun _ _ => "Erased"⟩
| instance (α : Type u) : ToString (Erased α) :=
| Mathlib/Data/Erased.lean | 68 | 68 |
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Aaron Anderson, Yakov Pechersky
-/
import Mathlib.Data.Fintype.Card
import Mathlib.Algebra.Group.Commute.Basic
import Mathlib.Algebra.Group.End
import Mathlib.Data.Finset.NoncommProd
/-!
# support of a permutation
## Main definitions
In the following, `f g : Equiv.Perm α`.
* `Equiv.Perm.Disjoint`: two permutations `f` and `g` are `Disjoint` if every element is fixed
either by `f`, or by `g`.
Equivalently, `f` and `g` are `Disjoint` iff their `support` are disjoint.
* `Equiv.Perm.IsSwap`: `f = swap x y` for `x ≠ y`.
* `Equiv.Perm.support`: the elements `x : α` that are not fixed by `f`.
Assume `α` is a Fintype:
* `Equiv.Perm.fixed_point_card_lt_of_ne_one f` says that `f` has
strictly less than `Fintype.card α - 1` fixed points, unless `f = 1`.
(Equivalently, `f.support` has at least 2 elements.)
-/
open Equiv Finset Function
namespace Equiv.Perm
variable {α : Type*}
section Disjoint
/-- Two permutations `f` and `g` are `Disjoint` if their supports are disjoint, i.e.,
every element is fixed either by `f`, or by `g`. -/
def Disjoint (f g : Perm α) :=
∀ x, f x = x ∨ g x = x
variable {f g h : Perm α}
@[symm]
theorem Disjoint.symm : Disjoint f g → Disjoint g f := by simp only [Disjoint, or_comm, imp_self]
theorem Disjoint.symmetric : Symmetric (@Disjoint α) := fun _ _ => Disjoint.symm
instance : IsSymm (Perm α) Disjoint :=
⟨Disjoint.symmetric⟩
theorem disjoint_comm : Disjoint f g ↔ Disjoint g f :=
⟨Disjoint.symm, Disjoint.symm⟩
theorem Disjoint.commute (h : Disjoint f g) : Commute f g :=
Equiv.ext fun x =>
(h x).elim
(fun hf =>
(h (g x)).elim (fun hg => by simp [mul_apply, hf, hg]) fun hg => by
simp [mul_apply, hf, g.injective hg])
fun hg =>
(h (f x)).elim (fun hf => by simp [mul_apply, f.injective hf, hg]) fun hf => by
simp [mul_apply, hf, hg]
@[simp]
theorem disjoint_one_left (f : Perm α) : Disjoint 1 f := fun _ => Or.inl rfl
@[simp]
theorem disjoint_one_right (f : Perm α) : Disjoint f 1 := fun _ => Or.inr rfl
theorem disjoint_iff_eq_or_eq : Disjoint f g ↔ ∀ x : α, f x = x ∨ g x = x :=
Iff.rfl
@[simp]
theorem disjoint_refl_iff : Disjoint f f ↔ f = 1 := by
refine ⟨fun h => ?_, fun h => h.symm ▸ disjoint_one_left 1⟩
ext x
rcases h x with hx | hx <;> simp [hx]
theorem Disjoint.inv_left (h : Disjoint f g) : Disjoint f⁻¹ g := by
intro x
rw [inv_eq_iff_eq, eq_comm]
exact h x
theorem Disjoint.inv_right (h : Disjoint f g) : Disjoint f g⁻¹ :=
h.symm.inv_left.symm
@[simp]
theorem disjoint_inv_left_iff : Disjoint f⁻¹ g ↔ Disjoint f g := by
refine ⟨fun h => ?_, Disjoint.inv_left⟩
convert h.inv_left
@[simp]
theorem disjoint_inv_right_iff : Disjoint f g⁻¹ ↔ Disjoint f g := by
rw [disjoint_comm, disjoint_inv_left_iff, disjoint_comm]
theorem Disjoint.mul_left (H1 : Disjoint f h) (H2 : Disjoint g h) : Disjoint (f * g) h := fun x =>
by cases H1 x <;> cases H2 x <;> simp [*]
theorem Disjoint.mul_right (H1 : Disjoint f g) (H2 : Disjoint f h) : Disjoint f (g * h) := by
rw [disjoint_comm]
exact H1.symm.mul_left H2.symm
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11215): TODO: make it `@[simp]`
theorem disjoint_conj (h : Perm α) : Disjoint (h * f * h⁻¹) (h * g * h⁻¹) ↔ Disjoint f g :=
(h⁻¹).forall_congr fun {_} ↦ by simp only [mul_apply, eq_inv_iff_eq]
theorem Disjoint.conj (H : Disjoint f g) (h : Perm α) : Disjoint (h * f * h⁻¹) (h * g * h⁻¹) :=
(disjoint_conj h).2 H
theorem disjoint_prod_right (l : List (Perm α)) (h : ∀ g ∈ l, Disjoint f g) :
Disjoint f l.prod := by
induction' l with g l ih
· exact disjoint_one_right _
· rw [List.prod_cons]
exact (h _ List.mem_cons_self).mul_right (ih fun g hg => h g (List.mem_cons_of_mem _ hg))
theorem disjoint_noncommProd_right {ι : Type*} {k : ι → Perm α} {s : Finset ι}
(hs : Set.Pairwise s fun i j ↦ Commute (k i) (k j))
(hg : ∀ i ∈ s, g.Disjoint (k i)) :
Disjoint g (s.noncommProd k (hs)) :=
noncommProd_induction s k hs g.Disjoint (fun _ _ ↦ Disjoint.mul_right) (disjoint_one_right g) hg
open scoped List in
theorem disjoint_prod_perm {l₁ l₂ : List (Perm α)} (hl : l₁.Pairwise Disjoint) (hp : l₁ ~ l₂) :
l₁.prod = l₂.prod :=
hp.prod_eq' <| hl.imp Disjoint.commute
theorem nodup_of_pairwise_disjoint {l : List (Perm α)} (h1 : (1 : Perm α) ∉ l)
(h2 : l.Pairwise Disjoint) : l.Nodup := by
refine List.Pairwise.imp_of_mem ?_ h2
intro τ σ h_mem _ h_disjoint _
subst τ
suffices (σ : Perm α) = 1 by
rw [this] at h_mem
exact h1 h_mem
exact ext fun a => or_self_iff.mp (h_disjoint a)
theorem pow_apply_eq_self_of_apply_eq_self {x : α} (hfx : f x = x) : ∀ n : ℕ, (f ^ n) x = x
| 0 => rfl
| n + 1 => by rw [pow_succ, mul_apply, hfx, pow_apply_eq_self_of_apply_eq_self hfx n]
theorem zpow_apply_eq_self_of_apply_eq_self {x : α} (hfx : f x = x) : ∀ n : ℤ, (f ^ n) x = x
| (n : ℕ) => pow_apply_eq_self_of_apply_eq_self hfx n
| Int.negSucc n => by rw [zpow_negSucc, inv_eq_iff_eq, pow_apply_eq_self_of_apply_eq_self hfx]
theorem pow_apply_eq_of_apply_apply_eq_self {x : α} (hffx : f (f x) = x) :
∀ n : ℕ, (f ^ n) x = x ∨ (f ^ n) x = f x
| 0 => Or.inl rfl
| n + 1 =>
(pow_apply_eq_of_apply_apply_eq_self hffx n).elim
(fun h => Or.inr (by rw [pow_succ', mul_apply, h]))
fun h => Or.inl (by rw [pow_succ', mul_apply, h, hffx])
theorem zpow_apply_eq_of_apply_apply_eq_self {x : α} (hffx : f (f x) = x) :
∀ i : ℤ, (f ^ i) x = x ∨ (f ^ i) x = f x
| (n : ℕ) => pow_apply_eq_of_apply_apply_eq_self hffx n
| Int.negSucc n => by
rw [zpow_negSucc, inv_eq_iff_eq, ← f.injective.eq_iff, ← mul_apply, ← pow_succ', eq_comm,
inv_eq_iff_eq, ← mul_apply, ← pow_succ, @eq_comm _ x, or_comm]
exact pow_apply_eq_of_apply_apply_eq_self hffx _
theorem Disjoint.mul_apply_eq_iff {σ τ : Perm α} (hστ : Disjoint σ τ) {a : α} :
(σ * τ) a = a ↔ σ a = a ∧ τ a = a := by
refine ⟨fun h => ?_, fun h => by rw [mul_apply, h.2, h.1]⟩
rcases hστ a with hσ | hτ
· exact ⟨hσ, σ.injective (h.trans hσ.symm)⟩
· exact ⟨(congr_arg σ hτ).symm.trans h, hτ⟩
theorem Disjoint.mul_eq_one_iff {σ τ : Perm α} (hστ : Disjoint σ τ) :
σ * τ = 1 ↔ σ = 1 ∧ τ = 1 := by
simp_rw [Perm.ext_iff, one_apply, hστ.mul_apply_eq_iff, forall_and]
theorem Disjoint.zpow_disjoint_zpow {σ τ : Perm α} (hστ : Disjoint σ τ) (m n : ℤ) :
Disjoint (σ ^ m) (τ ^ n) := fun x =>
Or.imp (fun h => zpow_apply_eq_self_of_apply_eq_self h m)
(fun h => zpow_apply_eq_self_of_apply_eq_self h n) (hστ x)
theorem Disjoint.pow_disjoint_pow {σ τ : Perm α} (hστ : Disjoint σ τ) (m n : ℕ) :
Disjoint (σ ^ m) (τ ^ n) :=
hστ.zpow_disjoint_zpow m n
end Disjoint
section IsSwap
variable [DecidableEq α]
/-- `f.IsSwap` indicates that the permutation `f` is a transposition of two elements. -/
def IsSwap (f : Perm α) : Prop :=
∃ x y, x ≠ y ∧ f = swap x y
@[simp]
theorem ofSubtype_swap_eq {p : α → Prop} [DecidablePred p] (x y : Subtype p) :
ofSubtype (Equiv.swap x y) = Equiv.swap ↑x ↑y :=
Equiv.ext fun z => by
by_cases hz : p z
· rw [swap_apply_def, ofSubtype_apply_of_mem _ hz]
split_ifs with hzx hzy
· simp_rw [hzx, Subtype.coe_eta, swap_apply_left]
· simp_rw [hzy, Subtype.coe_eta, swap_apply_right]
· rw [swap_apply_of_ne_of_ne] <;>
simp [Subtype.ext_iff, *]
· rw [ofSubtype_apply_of_not_mem _ hz, swap_apply_of_ne_of_ne]
· intro h
apply hz
rw [h]
exact Subtype.prop x
intro h
apply hz
rw [h]
exact Subtype.prop y
theorem IsSwap.of_subtype_isSwap {p : α → Prop} [DecidablePred p] {f : Perm (Subtype p)}
(h : f.IsSwap) : (ofSubtype f).IsSwap :=
let ⟨⟨x, hx⟩, ⟨y, hy⟩, hxy⟩ := h
⟨x, y, by
simp only [Ne, Subtype.ext_iff] at hxy
exact hxy.1, by
rw [hxy.2, ofSubtype_swap_eq]⟩
theorem ne_and_ne_of_swap_mul_apply_ne_self {f : Perm α} {x y : α} (hy : (swap x (f x) * f) y ≠ y) :
f y ≠ y ∧ y ≠ x := by
simp only [swap_apply_def, mul_apply, f.injective.eq_iff] at *
by_cases h : f y = x
· constructor <;> intro <;> simp_all only [if_true, eq_self_iff_true, not_true, Ne]
· split_ifs at hy with h <;> try { simp [*] at * }
end IsSwap
section support
section Set
variable (p q : Perm α)
theorem set_support_inv_eq : { x | p⁻¹ x ≠ x } = { x | p x ≠ x } := by
ext x
simp only [Set.mem_setOf_eq, Ne]
rw [inv_def, symm_apply_eq, eq_comm]
theorem set_support_apply_mem {p : Perm α} {a : α} :
p a ∈ { x | p x ≠ x } ↔ a ∈ { x | p x ≠ x } := by simp
theorem set_support_zpow_subset (n : ℤ) : { x | (p ^ n) x ≠ x } ⊆ { x | p x ≠ x } := by
intro x
simp only [Set.mem_setOf_eq, Ne]
intro hx H
simp [zpow_apply_eq_self_of_apply_eq_self H] at hx
theorem set_support_mul_subset : { x | (p * q) x ≠ x } ⊆ { x | p x ≠ x } ∪ { x | q x ≠ x } := by
intro x
simp only [Perm.coe_mul, Function.comp_apply, Ne, Set.mem_union, Set.mem_setOf_eq]
by_cases hq : q x = x <;> simp [hq]
end Set
@[simp]
theorem apply_pow_apply_eq_iff (f : Perm α) (n : ℕ) {x : α} :
f ((f ^ n) x) = (f ^ n) x ↔ f x = x := by
rw [← mul_apply, Commute.self_pow f, mul_apply, apply_eq_iff_eq]
@[simp]
theorem apply_zpow_apply_eq_iff (f : Perm α) (n : ℤ) {x : α} :
f ((f ^ n) x) = (f ^ n) x ↔ f x = x := by
rw [← mul_apply, Commute.self_zpow f, mul_apply, apply_eq_iff_eq]
variable [DecidableEq α] [Fintype α] {f g : Perm α}
/-- The `Finset` of nonfixed points of a permutation. -/
def support (f : Perm α) : Finset α := {x | f x ≠ x}
@[simp]
theorem mem_support {x : α} : x ∈ f.support ↔ f x ≠ x := by
rw [support, mem_filter, and_iff_right (mem_univ x)]
theorem not_mem_support {x : α} : x ∉ f.support ↔ f x = x := by simp
theorem coe_support_eq_set_support (f : Perm α) : (f.support : Set α) = { x | f x ≠ x } := by
ext
simp
@[simp]
theorem support_eq_empty_iff {σ : Perm α} : σ.support = ∅ ↔ σ = 1 := by
simp_rw [Finset.ext_iff, mem_support, Finset.not_mem_empty, iff_false, not_not,
Equiv.Perm.ext_iff, one_apply]
@[simp]
theorem support_one : (1 : Perm α).support = ∅ := by rw [support_eq_empty_iff]
@[simp]
theorem support_refl : support (Equiv.refl α) = ∅ :=
support_one
theorem support_congr (h : f.support ⊆ g.support) (h' : ∀ x ∈ g.support, f x = g x) : f = g := by
ext x
by_cases hx : x ∈ g.support
· exact h' x hx
· rw [not_mem_support.mp hx, ← not_mem_support]
exact fun H => hx (h H)
/-- If g and c commute, then g stabilizes the support of c -/
theorem mem_support_iff_of_commute {g c : Perm α} (hgc : Commute g c) (x : α) :
x ∈ c.support ↔ g x ∈ c.support := by
simp only [mem_support, not_iff_not, ← mul_apply]
rw [← hgc, mul_apply, Equiv.apply_eq_iff_eq]
theorem support_mul_le (f g : Perm α) : (f * g).support ≤ f.support ⊔ g.support := fun x => by
simp only [sup_eq_union]
rw [mem_union, mem_support, mem_support, mem_support, mul_apply, ← not_and_or, not_imp_not]
rintro ⟨hf, hg⟩
rw [hg, hf]
theorem exists_mem_support_of_mem_support_prod {l : List (Perm α)} {x : α}
(hx : x ∈ l.prod.support) : ∃ f : Perm α, f ∈ l ∧ x ∈ f.support := by
contrapose! hx
simp_rw [mem_support, not_not] at hx ⊢
induction' l with f l ih
· rfl
· rw [List.prod_cons, mul_apply, ih, hx]
· simp only [List.find?, List.mem_cons, true_or]
intros f' hf'
refine hx f' ?_
simp only [List.find?, List.mem_cons]
exact Or.inr hf'
theorem support_pow_le (σ : Perm α) (n : ℕ) : (σ ^ n).support ≤ σ.support := fun _ h1 =>
mem_support.mpr fun h2 => mem_support.mp h1 (pow_apply_eq_self_of_apply_eq_self h2 n)
@[simp]
theorem support_inv (σ : Perm α) : support σ⁻¹ = σ.support := by
simp_rw [Finset.ext_iff, mem_support, not_iff_not, inv_eq_iff_eq.trans eq_comm, imp_true_iff]
theorem apply_mem_support {x : α} : f x ∈ f.support ↔ x ∈ f.support := by
rw [mem_support, mem_support, Ne, Ne, apply_eq_iff_eq]
/-- The support of a permutation is invariant -/
theorem isInvariant_of_support_le {c : Perm α} {s : Finset α} (hcs : c.support ≤ s) (x : α) :
x ∈ s ↔ c x ∈ s := by
by_cases hx' : x ∈ c.support
· simp only [hcs hx', true_iff, hcs (apply_mem_support.mpr hx')]
· rw [not_mem_support.mp hx']
/-- A permutation c is the extension of a restriction of g to s
iff its support is contained in s and its restriction is that of g -/
lemma ofSubtype_eq_iff {g c : Equiv.Perm α} {s : Finset α}
(hg : ∀ x, x ∈ s ↔ g x ∈ s) :
ofSubtype (g.subtypePerm hg) = c ↔
c.support ≤ s ∧
∀ (hc' : ∀ x, x ∈ s ↔ c x ∈ s), c.subtypePerm hc' = g.subtypePerm hg := by
simp only [Equiv.ext_iff, subtypePerm_apply, Subtype.mk.injEq, Subtype.forall]
constructor
· intro h
constructor
· intro a ha
by_contra ha'
rw [mem_support, ← h a, ofSubtype_apply_of_not_mem (p := (· ∈ s)) _ ha'] at ha
exact ha rfl
· intro _ a ha
rw [← h a, ofSubtype_apply_of_mem (p := (· ∈ s)) _ ha, subtypePerm_apply]
· rintro ⟨hc, h⟩ a
specialize h (isInvariant_of_support_le hc)
by_cases ha : a ∈ s
· rw [h a ha, ofSubtype_apply_of_mem (p := (· ∈ s)) _ ha, subtypePerm_apply]
· rw [ofSubtype_apply_of_not_mem (p := (· ∈ s)) _ ha, eq_comm, ← not_mem_support]
exact Finset.not_mem_mono hc ha
theorem support_ofSubtype {p : α → Prop} [DecidablePred p] (u : Perm (Subtype p)) :
(ofSubtype u).support = u.support.map (Function.Embedding.subtype p) := by
ext x
simp only [mem_support, ne_eq, Finset.mem_map, Function.Embedding.coe_subtype, Subtype.exists,
exists_and_right, exists_eq_right, not_iff_comm, not_exists, not_not]
by_cases hx : p x
· simp only [forall_prop_of_true hx, ofSubtype_apply_of_mem u hx, ← Subtype.coe_inj]
· simp only [forall_prop_of_false hx, true_iff, ofSubtype_apply_of_not_mem u hx]
theorem mem_support_of_mem_noncommProd_support {α β : Type*} [DecidableEq β] [Fintype β]
{s : Finset α} {f : α → Perm β}
{comm : (s : Set α).Pairwise (Commute on f)} {x : β} (hx : x ∈ (s.noncommProd f comm).support) :
∃ a ∈ s, x ∈ (f a).support := by
contrapose! hx
classical
revert hx comm s
apply Finset.induction
· simp
· intro a s ha ih comm hs
rw [Finset.noncommProd_insert_of_not_mem s a f comm ha]
apply mt (Finset.mem_of_subset (support_mul_le _ _))
rw [Finset.sup_eq_union, Finset.not_mem_union]
exact ⟨hs a (s.mem_insert_self a), ih (fun a ha ↦ hs a (Finset.mem_insert_of_mem ha))⟩
theorem pow_apply_mem_support {n : ℕ} {x : α} : (f ^ n) x ∈ f.support ↔ x ∈ f.support := by
simp only [mem_support, ne_eq, apply_pow_apply_eq_iff]
theorem zpow_apply_mem_support {n : ℤ} {x : α} : (f ^ n) x ∈ f.support ↔ x ∈ f.support := by
simp only [mem_support, ne_eq, apply_zpow_apply_eq_iff]
theorem pow_eq_on_of_mem_support (h : ∀ x ∈ f.support ∩ g.support, f x = g x) (k : ℕ) :
∀ x ∈ f.support ∩ g.support, (f ^ k) x = (g ^ k) x := by
induction' k with k hk
· simp
· intro x hx
rw [pow_succ, mul_apply, pow_succ, mul_apply, h _ hx, hk]
rwa [mem_inter, apply_mem_support, ← h _ hx, apply_mem_support, ← mem_inter]
theorem disjoint_iff_disjoint_support : Disjoint f g ↔ _root_.Disjoint f.support g.support := by
simp [disjoint_iff_eq_or_eq, disjoint_iff, disjoint_iff, Finset.ext_iff, not_and_or,
imp_iff_not_or]
theorem Disjoint.disjoint_support (h : Disjoint f g) : _root_.Disjoint f.support g.support :=
disjoint_iff_disjoint_support.1 h
theorem Disjoint.support_mul (h : Disjoint f g) : (f * g).support = f.support ∪ g.support := by
refine le_antisymm (support_mul_le _ _) fun a => ?_
rw [mem_union, mem_support, mem_support, mem_support, mul_apply, ← not_and_or, not_imp_not]
exact
(h a).elim (fun hf h => ⟨hf, f.apply_eq_iff_eq.mp (h.trans hf.symm)⟩) fun hg h =>
⟨(congr_arg f hg).symm.trans h, hg⟩
theorem support_prod_of_pairwise_disjoint (l : List (Perm α)) (h : l.Pairwise Disjoint) :
l.prod.support = (l.map support).foldr (· ⊔ ·) ⊥ := by
induction' l with hd tl hl
· simp
· rw [List.pairwise_cons] at h
have : Disjoint hd tl.prod := disjoint_prod_right _ h.left
simp [this.support_mul, hl h.right]
theorem support_noncommProd {ι : Type*} {k : ι → Perm α} {s : Finset ι}
(hs : Set.Pairwise s fun i j ↦ Disjoint (k i) (k j)) :
(s.noncommProd k (hs.imp (fun _ _ ↦ Perm.Disjoint.commute))).support =
s.biUnion fun i ↦ (k i).support := by
classical
induction s using Finset.induction_on with
| empty => simp
| insert i s hi hrec =>
have hs' : (s : Set ι).Pairwise fun i j ↦ Disjoint (k i) (k j) :=
hs.mono (by simp only [Finset.coe_insert, Set.subset_insert])
rw [Finset.noncommProd_insert_of_not_mem _ _ _ _ hi, Finset.biUnion_insert]
rw [Equiv.Perm.Disjoint.support_mul, hrec hs']
apply disjoint_noncommProd_right
intro j hj
apply hs _ _ (ne_of_mem_of_not_mem hj hi).symm <;>
simp only [Finset.coe_insert, Set.mem_insert_iff, Finset.mem_coe, hj, or_true, true_or]
theorem support_prod_le (l : List (Perm α)) : l.prod.support ≤ (l.map support).foldr (· ⊔ ·) ⊥ := by
induction' l with hd tl hl
· simp
· rw [List.prod_cons, List.map_cons, List.foldr_cons]
refine (support_mul_le hd tl.prod).trans ?_
exact sup_le_sup le_rfl hl
theorem support_zpow_le (σ : Perm α) (n : ℤ) : (σ ^ n).support ≤ σ.support := fun _ h1 =>
mem_support.mpr fun h2 => mem_support.mp h1 (zpow_apply_eq_self_of_apply_eq_self h2 n)
@[simp]
theorem support_swap {x y : α} (h : x ≠ y) : support (swap x y) = {x, y} := by
ext z
by_cases hx : z = x
any_goals simpa [hx] using h.symm
by_cases hy : z = y
· simpa [swap_apply_of_ne_of_ne, hx, hy] using h
· simp [swap_apply_of_ne_of_ne, hx, hy]
theorem support_swap_iff (x y : α) : support (swap x y) = {x, y} ↔ x ≠ y := by
refine ⟨fun h => ?_, fun h => support_swap h⟩
rintro rfl
simp [Finset.ext_iff] at h
theorem support_swap_mul_swap {x y z : α} (h : List.Nodup [x, y, z]) :
support (swap x y * swap y z) = {x, y, z} := by
simp only [List.not_mem_nil, and_true, List.mem_cons, not_false_iff, List.nodup_cons,
List.mem_singleton, and_self_iff, List.nodup_nil] at h
push_neg at h
apply le_antisymm
· convert support_mul_le (swap x y) (swap y z) using 1
rw [support_swap h.left.left, support_swap h.right.left]
simp [Finset.ext_iff]
· intro
simp only [mem_insert, mem_singleton]
rintro (rfl | rfl | rfl | _) <;>
simp [swap_apply_of_ne_of_ne, h.left.left, h.left.left.symm, h.left.right.symm,
h.left.right.left.symm, h.right.left.symm]
theorem support_swap_mul_ge_support_diff (f : Perm α) (x y : α) :
f.support \ {x, y} ≤ (swap x y * f).support := by
intro
simp only [and_imp, Perm.coe_mul, Function.comp_apply, Ne, mem_support, mem_insert, mem_sdiff,
mem_singleton]
push_neg
rintro ha ⟨hx, hy⟩ H
rw [swap_apply_eq_iff, swap_apply_of_ne_of_ne hx hy] at H
exact ha H
theorem support_swap_mul_eq (f : Perm α) (x : α) (h : f (f x) ≠ x) :
(swap x (f x) * f).support = f.support \ {x} := by
by_cases hx : f x = x
· simp [hx, sdiff_singleton_eq_erase, not_mem_support.mpr hx, erase_eq_of_not_mem]
ext z
by_cases hzx : z = x
· simp [hzx]
by_cases hzf : z = f x
· simp [hzf, hx, h, swap_apply_of_ne_of_ne]
by_cases hzfx : f z = x
· simp [Ne.symm hzx, hzx, Ne.symm hzf, hzfx]
· simp [Ne.symm hzx, hzx, Ne.symm hzf, hzfx, f.injective.ne hzx, swap_apply_of_ne_of_ne]
theorem mem_support_swap_mul_imp_mem_support_ne {x y : α} (hy : y ∈ support (swap x (f x) * f)) :
y ∈ support f ∧ y ≠ x := by
simp only [mem_support, swap_apply_def, mul_apply, f.injective.eq_iff] at *
by_cases h : f y = x
· constructor <;> intro <;> simp_all only [if_true, eq_self_iff_true, not_true, Ne]
· split_ifs at hy with heq
· subst heq; exact ⟨h, hy⟩
· exact ⟨hy, heq⟩
theorem Disjoint.mem_imp (h : Disjoint f g) {x : α} (hx : x ∈ f.support) : x ∉ g.support :=
disjoint_left.mp h.disjoint_support hx
theorem eq_on_support_mem_disjoint {l : List (Perm α)} (h : f ∈ l) (hl : l.Pairwise Disjoint) :
∀ x ∈ f.support, f x = l.prod x := by
induction' l with hd tl IH
· simp at h
· intro x hx
rw [List.pairwise_cons] at hl
rw [List.mem_cons] at h
rcases h with (rfl | h)
· rw [List.prod_cons, mul_apply,
not_mem_support.mp ((disjoint_prod_right tl hl.left).mem_imp hx)]
· rw [List.prod_cons, mul_apply, ← IH h hl.right _ hx, eq_comm, ← not_mem_support]
refine (hl.left _ h).symm.mem_imp ?_
simpa using hx
theorem Disjoint.mono {x y : Perm α} (h : Disjoint f g) (hf : x.support ≤ f.support)
(hg : y.support ≤ g.support) : Disjoint x y := by
rw [disjoint_iff_disjoint_support] at h ⊢
exact h.mono hf hg
theorem support_le_prod_of_mem {l : List (Perm α)} (h : f ∈ l) (hl : l.Pairwise Disjoint) :
f.support ≤ l.prod.support := by
intro x hx
rwa [mem_support, ← eq_on_support_mem_disjoint h hl _ hx, ← mem_support]
section ExtendDomain
variable {β : Type*} [DecidableEq β] [Fintype β] {p : β → Prop} [DecidablePred p]
@[simp]
theorem support_extend_domain (f : α ≃ Subtype p) {g : Perm α} :
support (g.extendDomain f) = g.support.map f.asEmbedding := by
ext b
simp only [exists_prop, Function.Embedding.coeFn_mk, toEmbedding_apply, mem_map, Ne,
Function.Embedding.trans_apply, mem_support]
by_cases pb : p b
· rw [extendDomain_apply_subtype _ _ pb]
constructor
· rintro h
refine ⟨f.symm ⟨b, pb⟩, ?_, by simp⟩
contrapose! h
simp [h]
· rintro ⟨a, ha, hb⟩
contrapose! ha
obtain rfl : a = f.symm ⟨b, pb⟩ := by
rw [eq_symm_apply]
exact Subtype.coe_injective hb
rw [eq_symm_apply]
exact Subtype.coe_injective ha
· rw [extendDomain_apply_not_subtype _ _ pb]
simp only [not_exists, false_iff, not_and, eq_self_iff_true, not_true]
rintro a _ rfl
exact pb (Subtype.prop _)
theorem card_support_extend_domain (f : α ≃ Subtype p) {g : Perm α} :
#(g.extendDomain f).support = #g.support := by simp
end ExtendDomain
section Card
theorem card_support_eq_zero {f : Perm α} : #f.support = 0 ↔ f = 1 := by
rw [Finset.card_eq_zero, support_eq_empty_iff]
theorem one_lt_card_support_of_ne_one {f : Perm α} (h : f ≠ 1) : 1 < #f.support := by
simp_rw [one_lt_card_iff, mem_support, ← not_or]
contrapose! h
ext a
specialize h (f a) a
rwa [apply_eq_iff_eq, or_self_iff, or_self_iff] at h
theorem card_support_ne_one (f : Perm α) : #f.support ≠ 1 := by
by_cases h : f = 1
· exact ne_of_eq_of_ne (card_support_eq_zero.mpr h) zero_ne_one
· exact ne_of_gt (one_lt_card_support_of_ne_one h)
@[simp]
theorem card_support_le_one {f : Perm α} : #f.support ≤ 1 ↔ f = 1 := by
rw [le_iff_lt_or_eq, Nat.lt_succ_iff, Nat.le_zero, card_support_eq_zero, or_iff_not_imp_right,
imp_iff_right f.card_support_ne_one]
theorem two_le_card_support_of_ne_one {f : Perm α} (h : f ≠ 1) : 2 ≤ #f.support :=
one_lt_card_support_of_ne_one h
theorem card_support_swap_mul {f : Perm α} {x : α} (hx : f x ≠ x) :
#(swap x (f x) * f).support < #f.support :=
Finset.card_lt_card
⟨fun _ hz => (mem_support_swap_mul_imp_mem_support_ne hz).left, fun h =>
absurd (h (mem_support.2 hx)) (mt mem_support.1 (by simp))⟩
theorem card_support_swap {x y : α} (hxy : x ≠ y) : #(swap x y).support = 2 :=
show #(swap x y).support = #⟨x ::ₘ y ::ₘ 0, by simp [hxy]⟩ from
congr_arg card <| by simp [support_swap hxy, *, Finset.ext_iff]
@[simp]
theorem card_support_eq_two {f : Perm α} : #f.support = 2 ↔ IsSwap f := by
constructor <;> intro h
· obtain ⟨x, t, hmem, hins, ht⟩ := card_eq_succ.1 h
obtain ⟨y, rfl⟩ := card_eq_one.1 ht
rw [mem_singleton] at hmem
refine ⟨x, y, hmem, ?_⟩
ext a
have key : ∀ b, f b ≠ b ↔ _ := fun b => by rw [← mem_support, ← hins, mem_insert, mem_singleton]
by_cases ha : f a = a
· have ha' := not_or.mp (mt (key a).mpr (not_not.mpr ha))
rw [ha, swap_apply_of_ne_of_ne ha'.1 ha'.2]
· have ha' := (key (f a)).mp (mt f.apply_eq_iff_eq.mp ha)
obtain rfl | rfl := (key a).mp ha
· rw [Or.resolve_left ha' ha, swap_apply_left]
· rw [Or.resolve_right ha' ha, swap_apply_right]
· obtain ⟨x, y, hxy, rfl⟩ := h
exact card_support_swap hxy
theorem Disjoint.card_support_mul (h : Disjoint f g) :
#(f * g).support = #f.support + #g.support := by
rw [← Finset.card_union_of_disjoint]
· congr
ext
simp [h.support_mul]
· simpa using h.disjoint_support
theorem card_support_prod_list_of_pairwise_disjoint {l : List (Perm α)} (h : l.Pairwise Disjoint) :
#l.prod.support = (l.map (card ∘ support)).sum := by
induction' l with a t ih
· exact card_support_eq_zero.mpr rfl
· obtain ⟨ha, ht⟩ := List.pairwise_cons.1 h
rw [List.prod_cons, List.map_cons, List.sum_cons, ← ih ht]
exact (disjoint_prod_right _ ha).card_support_mul
end Card
end support
@[simp]
theorem support_subtype_perm [DecidableEq α] {s : Finset α} (f : Perm α) (h) :
(f.subtypePerm h : Perm s).support = ({x | f x ≠ x} : Finset s) := by
ext; simp [Subtype.ext_iff]
end Equiv.Perm
section FixedPoints
namespace Equiv.Perm
/-!
### Fixed points
-/
variable {α : Type*}
theorem fixed_point_card_lt_of_ne_one [DecidableEq α] [Fintype α] {σ : Perm α} (h : σ ≠ 1) :
#{x | σ x = x} < Fintype.card α - 1 := by
| rw [Nat.lt_sub_iff_add_lt, ← Nat.lt_sub_iff_add_lt', ← Finset.card_compl, Finset.compl_filter]
exact one_lt_card_support_of_ne_one h
end Equiv.Perm
| Mathlib/GroupTheory/Perm/Support.lean | 672 | 675 |
/-
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.Analysis.Convex.Side
import Mathlib.Geometry.Euclidean.Angle.Oriented.Rotation
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine
/-!
# Oriented angles.
This file defines oriented angles in Euclidean affine spaces.
## Main definitions
* `EuclideanGeometry.oangle`, with notation `∡`, is the oriented angle determined by three
points.
-/
noncomputable section
open Module Complex
open scoped Affine EuclideanGeometry Real RealInnerProductSpace ComplexConjugate
namespace EuclideanGeometry
variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P] [hd2 : Fact (finrank ℝ V = 2)] [Module.Oriented ℝ V (Fin 2)]
/-- A fixed choice of positive orientation of Euclidean space `ℝ²` -/
abbrev o := @Module.Oriented.positiveOrientation
/-- The oriented angle at `p₂` between the line segments to `p₁` and `p₃`, modulo `2 * π`. If
either of those points equals `p₂`, this is 0. See `EuclideanGeometry.angle` for the
corresponding unoriented angle definition. -/
def oangle (p₁ p₂ p₃ : P) : Real.Angle :=
o.oangle (p₁ -ᵥ p₂) (p₃ -ᵥ p₂)
@[inherit_doc] scoped notation "∡" => EuclideanGeometry.oangle
/-- Oriented angles are continuous when neither end point equals the middle point. -/
theorem continuousAt_oangle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) :
ContinuousAt (fun y : P × P × P => ∡ y.1 y.2.1 y.2.2) x := by
unfold oangle
fun_prop (disch := simp [*])
/-- The angle ∡AAB at a point. -/
@[simp]
theorem oangle_self_left (p₁ p₂ : P) : ∡ p₁ p₁ p₂ = 0 := by simp [oangle]
/-- The angle ∡ABB at a point. -/
@[simp]
theorem oangle_self_right (p₁ p₂ : P) : ∡ p₁ p₂ p₂ = 0 := by simp [oangle]
/-- The angle ∡ABA at a point. -/
@[simp]
theorem oangle_self_left_right (p₁ p₂ : P) : ∡ p₁ p₂ p₁ = 0 :=
o.oangle_self _
/-- If the angle between three points is nonzero, the first two points are not equal. -/
theorem left_ne_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₁ ≠ p₂ := by
rw [← @vsub_ne_zero V]; exact o.left_ne_zero_of_oangle_ne_zero h
/-- If the angle between three points is nonzero, the last two points are not equal. -/
theorem right_ne_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₃ ≠ p₂ := by
rw [← @vsub_ne_zero V]; exact o.right_ne_zero_of_oangle_ne_zero h
/-- If the angle between three points is nonzero, the first and third points are not equal. -/
theorem left_ne_right_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₁ ≠ p₃ := by
rw [← (vsub_left_injective p₂).ne_iff]; exact o.ne_of_oangle_ne_zero h
/-- If the angle between three points is `π`, the first two points are not equal. -/
theorem left_ne_of_oangle_eq_pi {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = π) : p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
/-- If the angle between three points is `π`, the last two points are not equal. -/
theorem right_ne_of_oangle_eq_pi {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = π) : p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
/-- If the angle between three points is `π`, the first and third points are not equal. -/
theorem left_ne_right_of_oangle_eq_pi {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = π) : p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
/-- If the angle between three points is `π / 2`, the first two points are not equal. -/
theorem left_ne_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (π / 2 : ℝ)) : p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
/-- If the angle between three points is `π / 2`, the last two points are not equal. -/
theorem right_ne_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (π / 2 : ℝ)) : p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
/-- If the angle between three points is `π / 2`, the first and third points are not equal. -/
theorem left_ne_right_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (π / 2 : ℝ)) :
p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
/-- If the angle between three points is `-π / 2`, the first two points are not equal. -/
theorem left_ne_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (-π / 2 : ℝ)) :
p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
/-- If the angle between three points is `-π / 2`, the last two points are not equal. -/
theorem right_ne_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (-π / 2 : ℝ)) :
p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
/-- If the angle between three points is `-π / 2`, the first and third points are not equal. -/
theorem left_ne_right_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (-π / 2 : ℝ)) :
p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
/-- If the sign of the angle between three points is nonzero, the first two points are not
equal. -/
theorem left_ne_of_oangle_sign_ne_zero {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign ≠ 0) : p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
/-- If the sign of the angle between three points is nonzero, the last two points are not
equal. -/
theorem right_ne_of_oangle_sign_ne_zero {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign ≠ 0) : p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
/-- If the sign of the angle between three points is nonzero, the first and third points are not
equal. -/
theorem left_ne_right_of_oangle_sign_ne_zero {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign ≠ 0) : p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
/-- If the sign of the angle between three points is positive, the first two points are not
equal. -/
theorem left_ne_of_oangle_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) : p₁ ≠ p₂ :=
left_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
/-- If the sign of the angle between three points is positive, the last two points are not
equal. -/
theorem right_ne_of_oangle_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) : p₃ ≠ p₂ :=
right_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
/-- If the sign of the angle between three points is positive, the first and third points are not
equal. -/
theorem left_ne_right_of_oangle_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) : p₁ ≠ p₃ :=
left_ne_right_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
/-- If the sign of the angle between three points is negative, the first two points are not
equal. -/
theorem left_ne_of_oangle_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) : p₁ ≠ p₂ :=
left_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
/-- If the sign of the angle between three points is negative, the last two points are not equal.
-/
theorem right_ne_of_oangle_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) : p₃ ≠ p₂ :=
right_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
/-- If the sign of the angle between three points is negative, the first and third points are not
equal. -/
theorem left_ne_right_of_oangle_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) :
p₁ ≠ p₃ :=
left_ne_right_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
/-- Reversing the order of the points passed to `oangle` negates the angle. -/
theorem oangle_rev (p₁ p₂ p₃ : P) : ∡ p₃ p₂ p₁ = -∡ p₁ p₂ p₃ :=
o.oangle_rev _ _
/-- Adding an angle to that with the order of the points reversed results in 0. -/
@[simp]
theorem oangle_add_oangle_rev (p₁ p₂ p₃ : P) : ∡ p₁ p₂ p₃ + ∡ p₃ p₂ p₁ = 0 :=
o.oangle_add_oangle_rev _ _
/-- An oriented angle is zero if and only if the angle with the order of the points reversed is
zero. -/
theorem oangle_eq_zero_iff_oangle_rev_eq_zero {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = 0 ↔ ∡ p₃ p₂ p₁ = 0 :=
o.oangle_eq_zero_iff_oangle_rev_eq_zero
/-- An oriented angle is `π` if and only if the angle with the order of the points reversed is
`π`. -/
theorem oangle_eq_pi_iff_oangle_rev_eq_pi {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = π ↔ ∡ p₃ p₂ p₁ = π :=
o.oangle_eq_pi_iff_oangle_rev_eq_pi
/-- An oriented angle is not zero or `π` if and only if the three points are affinely
independent. -/
theorem oangle_ne_zero_and_ne_pi_iff_affineIndependent {p₁ p₂ p₃ : P} :
∡ p₁ p₂ p₃ ≠ 0 ∧ ∡ p₁ p₂ p₃ ≠ π ↔ AffineIndependent ℝ ![p₁, p₂, p₃] := by
rw [oangle, o.oangle_ne_zero_and_ne_pi_iff_linearIndependent,
affineIndependent_iff_linearIndependent_vsub ℝ _ (1 : Fin 3), ←
linearIndependent_equiv (finSuccAboveEquiv (1 : Fin 3))]
convert Iff.rfl
ext i
fin_cases i <;> rfl
/-- An oriented angle is zero or `π` if and only if the three points are collinear. -/
theorem oangle_eq_zero_or_eq_pi_iff_collinear {p₁ p₂ p₃ : P} :
∡ p₁ p₂ p₃ = 0 ∨ ∡ p₁ p₂ p₃ = π ↔ Collinear ℝ ({p₁, p₂, p₃} : Set P) := by
rw [← not_iff_not, not_or, oangle_ne_zero_and_ne_pi_iff_affineIndependent,
affineIndependent_iff_not_collinear_set]
/-- An oriented angle has a sign zero if and only if the three points are collinear. -/
theorem oangle_sign_eq_zero_iff_collinear {p₁ p₂ p₃ : P} :
(∡ p₁ p₂ p₃).sign = 0 ↔ Collinear ℝ ({p₁, p₂, p₃} : Set P) := by
rw [Real.Angle.sign_eq_zero_iff, oangle_eq_zero_or_eq_pi_iff_collinear]
/-- If twice the oriented angles between two triples of points are equal, one triple is affinely
independent if and only if the other is. -/
theorem affineIndependent_iff_of_two_zsmul_oangle_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h : (2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆) :
AffineIndependent ℝ ![p₁, p₂, p₃] ↔ AffineIndependent ℝ ![p₄, p₅, p₆] := by
simp_rw [← oangle_ne_zero_and_ne_pi_iff_affineIndependent, ← Real.Angle.two_zsmul_ne_zero_iff, h]
/-- If twice the oriented angles between two triples of points are equal, one triple is collinear
if and only if the other is. -/
theorem collinear_iff_of_two_zsmul_oangle_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h : (2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆) :
Collinear ℝ ({p₁, p₂, p₃} : Set P) ↔ Collinear ℝ ({p₄, p₅, p₆} : Set P) := by
simp_rw [← oangle_eq_zero_or_eq_pi_iff_collinear, ← Real.Angle.two_zsmul_eq_zero_iff, h]
/-- If corresponding pairs of points in two angles have the same vector span, twice those angles
are equal. -/
theorem two_zsmul_oangle_of_vectorSpan_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h₁₂₄₅ : vectorSpan ℝ ({p₁, p₂} : Set P) = vectorSpan ℝ ({p₄, p₅} : Set P))
(h₃₂₆₅ : vectorSpan ℝ ({p₃, p₂} : Set P) = vectorSpan ℝ ({p₆, p₅} : Set P)) :
(2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆ := by
simp_rw [vectorSpan_pair] at h₁₂₄₅ h₃₂₆₅
exact o.two_zsmul_oangle_of_span_eq_of_span_eq h₁₂₄₅ h₃₂₆₅
/-- If the lines determined by corresponding pairs of points in two angles are parallel, twice
those angles are equal. -/
theorem two_zsmul_oangle_of_parallel {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h₁₂₄₅ : line[ℝ, p₁, p₂] ∥ line[ℝ, p₄, p₅]) (h₃₂₆₅ : line[ℝ, p₃, p₂] ∥ line[ℝ, p₆, p₅]) :
(2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆ := by
rw [AffineSubspace.affineSpan_pair_parallel_iff_vectorSpan_eq] at h₁₂₄₅ h₃₂₆₅
exact two_zsmul_oangle_of_vectorSpan_eq h₁₂₄₅ h₃₂₆₅
/-- Given three points not equal to `p`, the angle between the first and the second at `p` plus
the angle between the second and the third equals the angle between the first and the third. -/
@[simp]
theorem oangle_add {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₂ + ∡ p₂ p p₃ = ∡ p₁ p p₃ :=
o.oangle_add (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
/-- Given three points not equal to `p`, the angle between the second and the third at `p` plus
the angle between the first and the second equals the angle between the first and the third. -/
@[simp]
theorem oangle_add_swap {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₂ p p₃ + ∡ p₁ p p₂ = ∡ p₁ p p₃ :=
o.oangle_add_swap (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
/-- Given three points not equal to `p`, the angle between the first and the third at `p` minus
the angle between the first and the second equals the angle between the second and the third. -/
@[simp]
theorem oangle_sub_left {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₃ - ∡ p₁ p p₂ = ∡ p₂ p p₃ :=
o.oangle_sub_left (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
/-- Given three points not equal to `p`, the angle between the first and the third at `p` minus
the angle between the second and the third equals the angle between the first and the second. -/
@[simp]
theorem oangle_sub_right {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₃ - ∡ p₂ p p₃ = ∡ p₁ p p₂ :=
o.oangle_sub_right (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
/-- Given three points not equal to `p`, adding the angles between them at `p` in cyclic order
results in 0. -/
@[simp]
theorem oangle_add_cyc3 {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₂ + ∡ p₂ p p₃ + ∡ p₃ p p₁ = 0 :=
o.oangle_add_cyc3 (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
/-- Pons asinorum, oriented angle-at-point form. -/
theorem oangle_eq_oangle_of_dist_eq {p₁ p₂ p₃ : P} (h : dist p₁ p₂ = dist p₁ p₃) :
∡ p₁ p₂ p₃ = ∡ p₂ p₃ p₁ := by
simp_rw [dist_eq_norm_vsub V] at h
rw [oangle, oangle, ← vsub_sub_vsub_cancel_left p₃ p₂ p₁, ← vsub_sub_vsub_cancel_left p₂ p₃ p₁,
o.oangle_sub_eq_oangle_sub_rev_of_norm_eq h]
/-- The angle at the apex of an isosceles triangle is `π` minus twice a base angle, oriented
angle-at-point form. -/
theorem oangle_eq_pi_sub_two_zsmul_oangle_of_dist_eq {p₁ p₂ p₃ : P} (hn : p₂ ≠ p₃)
(h : dist p₁ p₂ = dist p₁ p₃) : ∡ p₃ p₁ p₂ = π - (2 : ℤ) • ∡ p₁ p₂ p₃ := by
simp_rw [dist_eq_norm_vsub V] at h
rw [oangle, oangle]
convert o.oangle_eq_pi_sub_two_zsmul_oangle_sub_of_norm_eq _ h using 1
· rw [← neg_vsub_eq_vsub_rev p₁ p₃, ← neg_vsub_eq_vsub_rev p₁ p₂, o.oangle_neg_neg]
· rw [← o.oangle_sub_eq_oangle_sub_rev_of_norm_eq h]; simp
· simpa using hn
/-- A base angle of an isosceles triangle is acute, oriented angle-at-point form. -/
theorem abs_oangle_right_toReal_lt_pi_div_two_of_dist_eq {p₁ p₂ p₃ : P}
(h : dist p₁ p₂ = dist p₁ p₃) : |(∡ p₁ p₂ p₃).toReal| < π / 2 := by
simp_rw [dist_eq_norm_vsub V] at h
rw [oangle, ← vsub_sub_vsub_cancel_left p₃ p₂ p₁]
exact o.abs_oangle_sub_right_toReal_lt_pi_div_two h
/-- A base angle of an isosceles triangle is acute, oriented angle-at-point form. -/
theorem abs_oangle_left_toReal_lt_pi_div_two_of_dist_eq {p₁ p₂ p₃ : P}
(h : dist p₁ p₂ = dist p₁ p₃) : |(∡ p₂ p₃ p₁).toReal| < π / 2 :=
oangle_eq_oangle_of_dist_eq h ▸ abs_oangle_right_toReal_lt_pi_div_two_of_dist_eq h
/-- The cosine of the oriented angle at `p` between two points not equal to `p` equals that of the
unoriented angle. -/
theorem cos_oangle_eq_cos_angle {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
Real.Angle.cos (∡ p₁ p p₂) = Real.cos (∠ p₁ p p₂) :=
o.cos_oangle_eq_cos_angle (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
/-- The oriented angle at `p` between two points not equal to `p` is plus or minus the unoriented
angle. -/
theorem oangle_eq_angle_or_eq_neg_angle {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
∡ p₁ p p₂ = ∠ p₁ p p₂ ∨ ∡ p₁ p p₂ = -∠ p₁ p p₂ :=
o.oangle_eq_angle_or_eq_neg_angle (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
/-- The unoriented angle at `p` between two points not equal to `p` is the absolute value of the
oriented angle. -/
theorem angle_eq_abs_oangle_toReal {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
∠ p₁ p p₂ = |(∡ p₁ p p₂).toReal| :=
o.angle_eq_abs_oangle_toReal (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
/-- If the sign of the oriented angle at `p` between two points is zero, either one of the points
equals `p` or the unoriented angle is 0 or π. -/
theorem eq_zero_or_angle_eq_zero_or_pi_of_sign_oangle_eq_zero {p p₁ p₂ : P}
(h : (∡ p₁ p p₂).sign = 0) : p₁ = p ∨ p₂ = p ∨ ∠ p₁ p p₂ = 0 ∨ ∠ p₁ p p₂ = π := by
convert o.eq_zero_or_angle_eq_zero_or_pi_of_sign_oangle_eq_zero h <;> simp
/-- If two unoriented angles are equal, and the signs of the corresponding oriented angles are
equal, then the oriented angles are equal (even in degenerate cases). -/
theorem oangle_eq_of_angle_eq_of_sign_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P} (h : ∠ p₁ p₂ p₃ = ∠ p₄ p₅ p₆)
(hs : (∡ p₁ p₂ p₃).sign = (∡ p₄ p₅ p₆).sign) : ∡ p₁ p₂ p₃ = ∡ p₄ p₅ p₆ :=
o.oangle_eq_of_angle_eq_of_sign_eq h hs
/-- If the signs of two nondegenerate oriented angles between points are equal, the oriented
angles are equal if and only if the unoriented angles are equal. -/
theorem angle_eq_iff_oangle_eq_of_sign_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P} (hp₁ : p₁ ≠ p₂) (hp₃ : p₃ ≠ p₂)
(hp₄ : p₄ ≠ p₅) (hp₆ : p₆ ≠ p₅) (hs : (∡ p₁ p₂ p₃).sign = (∡ p₄ p₅ p₆).sign) :
∠ p₁ p₂ p₃ = ∠ p₄ p₅ p₆ ↔ ∡ p₁ p₂ p₃ = ∡ p₄ p₅ p₆ :=
o.angle_eq_iff_oangle_eq_of_sign_eq (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₃) (vsub_ne_zero.2 hp₄)
(vsub_ne_zero.2 hp₆) hs
/-- The oriented angle between three points equals the unoriented angle if the sign is
positive. -/
theorem oangle_eq_angle_of_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) :
∡ p₁ p₂ p₃ = ∠ p₁ p₂ p₃ :=
o.oangle_eq_angle_of_sign_eq_one h
/-- The oriented angle between three points equals minus the unoriented angle if the sign is
negative. -/
theorem oangle_eq_neg_angle_of_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) :
∡ p₁ p₂ p₃ = -∠ p₁ p₂ p₃ :=
o.oangle_eq_neg_angle_of_sign_eq_neg_one h
/-- The unoriented angle at `p` between two points not equal to `p` is zero if and only if the
unoriented angle is zero. -/
theorem oangle_eq_zero_iff_angle_eq_zero {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
∡ p₁ p p₂ = 0 ↔ ∠ p₁ p p₂ = 0 :=
o.oangle_eq_zero_iff_angle_eq_zero (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
/-- The oriented angle between three points is `π` if and only if the unoriented angle is `π`. -/
theorem oangle_eq_pi_iff_angle_eq_pi {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = π ↔ ∠ p₁ p₂ p₃ = π :=
o.oangle_eq_pi_iff_angle_eq_pi
/-- If the oriented angle between three points is `π / 2`, so is the unoriented angle. -/
theorem angle_eq_pi_div_two_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∠ p₁ p₂ p₃ = π / 2 := by
rw [angle, ← InnerProductGeometry.inner_eq_zero_iff_angle_eq_pi_div_two]
exact o.inner_eq_zero_of_oangle_eq_pi_div_two h
/-- If the oriented angle between three points is `π / 2`, so is the unoriented angle
(reversed). -/
theorem angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∠ p₃ p₂ p₁ = π / 2 := by
rw [angle_comm]
exact angle_eq_pi_div_two_of_oangle_eq_pi_div_two h
/-- If the oriented angle between three points is `-π / 2`, the unoriented angle is `π / 2`. -/
theorem angle_eq_pi_div_two_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(-π / 2)) : ∠ p₁ p₂ p₃ = π / 2 := by
rw [angle, ← InnerProductGeometry.inner_eq_zero_iff_angle_eq_pi_div_two]
exact o.inner_eq_zero_of_oangle_eq_neg_pi_div_two h
/-- If the oriented angle between three points is `-π / 2`, the unoriented angle (reversed) is
`π / 2`. -/
theorem angle_rev_eq_pi_div_two_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(-π / 2)) : ∠ p₃ p₂ p₁ = π / 2 := by
rw [angle_comm]
exact angle_eq_pi_div_two_of_oangle_eq_neg_pi_div_two h
/-- Swapping the first and second points in an oriented angle negates the sign of that angle. -/
theorem oangle_swap₁₂_sign (p₁ p₂ p₃ : P) : -(∡ p₁ p₂ p₃).sign = (∡ p₂ p₁ p₃).sign := by
rw [eq_comm, oangle, oangle, ← o.oangle_neg_neg, neg_vsub_eq_vsub_rev, neg_vsub_eq_vsub_rev, ←
vsub_sub_vsub_cancel_left p₁ p₃ p₂, ← neg_vsub_eq_vsub_rev p₃ p₂, sub_eq_add_neg,
neg_vsub_eq_vsub_rev p₂ p₁, add_comm, ← @neg_one_smul ℝ]
nth_rw 2 [← one_smul ℝ (p₁ -ᵥ p₂)]
rw [o.oangle_sign_smul_add_smul_right]
simp
/-- Swapping the first and third points in an oriented angle negates the sign of that angle. -/
theorem oangle_swap₁₃_sign (p₁ p₂ p₃ : P) : -(∡ p₁ p₂ p₃).sign = (∡ p₃ p₂ p₁).sign := by
rw [oangle_rev, Real.Angle.sign_neg, neg_neg]
/-- Swapping the second and third points in an oriented angle negates the sign of that angle. -/
theorem oangle_swap₂₃_sign (p₁ p₂ p₃ : P) : -(∡ p₁ p₂ p₃).sign = (∡ p₁ p₃ p₂).sign := by
rw [oangle_swap₁₃_sign, ← oangle_swap₁₂_sign, oangle_swap₁₃_sign]
/-- Rotating the points in an oriented angle does not change the sign of that angle. -/
theorem oangle_rotate_sign (p₁ p₂ p₃ : P) : (∡ p₂ p₃ p₁).sign = (∡ p₁ p₂ p₃).sign := by
rw [← oangle_swap₁₂_sign, oangle_swap₁₃_sign]
/-- The oriented angle between three points is π if and only if the second point is strictly
between the other two. -/
theorem oangle_eq_pi_iff_sbtw {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = π ↔ Sbtw ℝ p₁ p₂ p₃ := by
rw [oangle_eq_pi_iff_angle_eq_pi, angle_eq_pi_iff_sbtw]
/-- If the second of three points is strictly between the other two, the oriented angle at that
point is π. -/
theorem _root_.Sbtw.oangle₁₂₃_eq_pi {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₁ p₂ p₃ = π :=
oangle_eq_pi_iff_sbtw.2 h
/-- If the second of three points is strictly between the other two, the oriented angle at that
point (reversed) is π. -/
theorem _root_.Sbtw.oangle₃₂₁_eq_pi {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₃ p₂ p₁ = π := by
rw [oangle_eq_pi_iff_oangle_rev_eq_pi, ← h.oangle₁₂₃_eq_pi]
/-- If the second of three points is weakly between the other two, the oriented angle at the
first point is zero. -/
theorem _root_.Wbtw.oangle₂₁₃_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₁ p₃ = 0 := by
by_cases hp₂p₁ : p₂ = p₁; · simp [hp₂p₁]
by_cases hp₃p₁ : p₃ = p₁; · simp [hp₃p₁]
rw [oangle_eq_zero_iff_angle_eq_zero hp₂p₁ hp₃p₁]
exact h.angle₂₁₃_eq_zero_of_ne hp₂p₁
/-- If the second of three points is strictly between the other two, the oriented angle at the
first point is zero. -/
theorem _root_.Sbtw.oangle₂₁₃_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₁ p₃ = 0 :=
h.wbtw.oangle₂₁₃_eq_zero
/-- If the second of three points is weakly between the other two, the oriented angle at the
first point (reversed) is zero. -/
theorem _root_.Wbtw.oangle₃₁₂_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₃ p₁ p₂ = 0 := by
rw [oangle_eq_zero_iff_oangle_rev_eq_zero, h.oangle₂₁₃_eq_zero]
/-- If the second of three points is strictly between the other two, the oriented angle at the
first point (reversed) is zero. -/
theorem _root_.Sbtw.oangle₃₁₂_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₃ p₁ p₂ = 0 :=
h.wbtw.oangle₃₁₂_eq_zero
/-- If the second of three points is weakly between the other two, the oriented angle at the
third point is zero. -/
theorem _root_.Wbtw.oangle₂₃₁_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₃ p₁ = 0 :=
h.symm.oangle₂₁₃_eq_zero
/-- If the second of three points is strictly between the other two, the oriented angle at the
third point is zero. -/
theorem _root_.Sbtw.oangle₂₃₁_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₃ p₁ = 0 :=
h.wbtw.oangle₂₃₁_eq_zero
/-- If the second of three points is weakly between the other two, the oriented angle at the
third point (reversed) is zero. -/
theorem _root_.Wbtw.oangle₁₃₂_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₁ p₃ p₂ = 0 :=
h.symm.oangle₃₁₂_eq_zero
/-- If the second of three points is strictly between the other two, the oriented angle at the
third point (reversed) is zero. -/
theorem _root_.Sbtw.oangle₁₃₂_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₁ p₃ p₂ = 0 :=
h.wbtw.oangle₁₃₂_eq_zero
/-- The oriented angle between three points is zero if and only if one of the first and third
points is weakly between the other two. -/
theorem oangle_eq_zero_iff_wbtw {p₁ p₂ p₃ : P} :
∡ p₁ p₂ p₃ = 0 ↔ Wbtw ℝ p₂ p₁ p₃ ∨ Wbtw ℝ p₂ p₃ p₁ := by
by_cases hp₁p₂ : p₁ = p₂; · simp [hp₁p₂]
by_cases hp₃p₂ : p₃ = p₂; · simp [hp₃p₂]
rw [oangle_eq_zero_iff_angle_eq_zero hp₁p₂ hp₃p₂, angle_eq_zero_iff_ne_and_wbtw]
simp [hp₁p₂, hp₃p₂]
/-- An oriented angle is unchanged by replacing the first point by one weakly further away on the
same ray. -/
theorem _root_.Wbtw.oangle_eq_left {p₁ p₁' p₂ p₃ : P} (h : Wbtw ℝ p₂ p₁ p₁') (hp₁p₂ : p₁ ≠ p₂) :
∡ p₁ p₂ p₃ = ∡ p₁' p₂ p₃ := by
by_cases hp₃p₂ : p₃ = p₂; · simp [hp₃p₂]
by_cases hp₁'p₂ : p₁' = p₂; · rw [hp₁'p₂, wbtw_self_iff] at h; exact False.elim (hp₁p₂ h)
rw [← oangle_add hp₁'p₂ hp₁p₂ hp₃p₂, h.oangle₃₁₂_eq_zero, zero_add]
/-- An oriented angle is unchanged by replacing the first point by one strictly further away on
the same ray. -/
theorem _root_.Sbtw.oangle_eq_left {p₁ p₁' p₂ p₃ : P} (h : Sbtw ℝ p₂ p₁ p₁') :
∡ p₁ p₂ p₃ = ∡ p₁' p₂ p₃ :=
h.wbtw.oangle_eq_left h.ne_left
/-- An oriented angle is unchanged by replacing the third point by one weakly further away on the
same ray. -/
theorem _root_.Wbtw.oangle_eq_right {p₁ p₂ p₃ p₃' : P} (h : Wbtw ℝ p₂ p₃ p₃') (hp₃p₂ : p₃ ≠ p₂) :
∡ p₁ p₂ p₃ = ∡ p₁ p₂ p₃' := by rw [oangle_rev, h.oangle_eq_left hp₃p₂, ← oangle_rev]
/-- An oriented angle is unchanged by replacing the third point by one strictly further away on
the same ray. -/
theorem _root_.Sbtw.oangle_eq_right {p₁ p₂ p₃ p₃' : P} (h : Sbtw ℝ p₂ p₃ p₃') :
∡ p₁ p₂ p₃ = ∡ p₁ p₂ p₃' :=
h.wbtw.oangle_eq_right h.ne_left
/-- An oriented angle is unchanged by replacing the first point with the midpoint of the segment
between it and the second point. -/
@[simp]
theorem oangle_midpoint_left (p₁ p₂ p₃ : P) : ∡ (midpoint ℝ p₁ p₂) p₂ p₃ = ∡ p₁ p₂ p₃ := by
by_cases h : p₁ = p₂; · simp [h]
exact (sbtw_midpoint_of_ne ℝ h).symm.oangle_eq_left
/-- An oriented angle is unchanged by replacing the first point with the midpoint of the segment
between the second point and that point. -/
@[simp]
theorem oangle_midpoint_rev_left (p₁ p₂ p₃ : P) : ∡ (midpoint ℝ p₂ p₁) p₂ p₃ = ∡ p₁ p₂ p₃ := by
rw [midpoint_comm, oangle_midpoint_left]
/-- An oriented angle is unchanged by replacing the third point with the midpoint of the segment
between it and the second point. -/
@[simp]
theorem oangle_midpoint_right (p₁ p₂ p₃ : P) : ∡ p₁ p₂ (midpoint ℝ p₃ p₂) = ∡ p₁ p₂ p₃ := by
by_cases h : p₃ = p₂; · simp [h]
exact (sbtw_midpoint_of_ne ℝ h).symm.oangle_eq_right
/-- An oriented angle is unchanged by replacing the third point with the midpoint of the segment
between the second point and that point. -/
@[simp]
theorem oangle_midpoint_rev_right (p₁ p₂ p₃ : P) : ∡ p₁ p₂ (midpoint ℝ p₂ p₃) = ∡ p₁ p₂ p₃ := by
rw [midpoint_comm, oangle_midpoint_right]
/-- Replacing the first point by one on the same line but the opposite ray adds π to the oriented
angle. -/
theorem _root_.Sbtw.oangle_eq_add_pi_left
{p₁ p₁' p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₁') (hp₃p₂ : p₃ ≠ p₂) :
∡ p₁ p₂ p₃ = ∡ p₁' p₂ p₃ + π := by
rw [← h.oangle₁₂₃_eq_pi, oangle_add_swap h.left_ne h.right_ne hp₃p₂]
/-- Replacing the third point by one on the same line but the opposite ray adds π to the oriented
angle. -/
theorem _root_.Sbtw.oangle_eq_add_pi_right
{p₁ p₂ p₃ p₃' : P} (h : Sbtw ℝ p₃ p₂ p₃') (hp₁p₂ : p₁ ≠ p₂) :
∡ p₁ p₂ p₃ = ∡ p₁ p₂ p₃' + π := by
rw [← h.oangle₃₂₁_eq_pi, oangle_add hp₁p₂ h.right_ne h.left_ne]
/-- Replacing both the first and third points by ones on the same lines but the opposite rays
does not change the oriented angle (vertically opposite angles). -/
theorem _root_.Sbtw.oangle_eq_left_right {p₁ p₁' p₂ p₃ p₃' : P} (h₁ : Sbtw ℝ p₁ p₂ p₁')
(h₃ : Sbtw ℝ p₃ p₂ p₃') : ∡ p₁ p₂ p₃ = ∡ p₁' p₂ p₃' := by
rw [h₁.oangle_eq_add_pi_left h₃.left_ne, h₃.oangle_eq_add_pi_right h₁.right_ne, add_assoc,
Real.Angle.coe_pi_add_coe_pi, add_zero]
/-- Replacing the first point by one on the same line does not change twice the oriented angle. -/
theorem _root_.Collinear.two_zsmul_oangle_eq_left {p₁ p₁' p₂ p₃ : P}
(h : Collinear ℝ ({p₁, p₂, p₁'} : Set P)) (hp₁p₂ : p₁ ≠ p₂) (hp₁'p₂ : p₁' ≠ p₂) :
(2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₁' p₂ p₃ := by
by_cases hp₃p₂ : p₃ = p₂; · simp [hp₃p₂]
rcases h.wbtw_or_wbtw_or_wbtw with (hw | hw | hw)
· have hw' : Sbtw ℝ p₁ p₂ p₁' := ⟨hw, hp₁p₂.symm, hp₁'p₂.symm⟩
rw [hw'.oangle_eq_add_pi_left hp₃p₂, smul_add, Real.Angle.two_zsmul_coe_pi, add_zero]
· rw [hw.oangle_eq_left hp₁'p₂]
· rw [hw.symm.oangle_eq_left hp₁p₂]
/-- Replacing the third point by one on the same line does not change twice the oriented angle. -/
theorem _root_.Collinear.two_zsmul_oangle_eq_right {p₁ p₂ p₃ p₃' : P}
(h : Collinear ℝ ({p₃, p₂, p₃'} : Set P)) (hp₃p₂ : p₃ ≠ p₂) (hp₃'p₂ : p₃' ≠ p₂) :
(2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₁ p₂ p₃' := by
rw [oangle_rev, smul_neg, h.two_zsmul_oangle_eq_left hp₃p₂ hp₃'p₂, ← smul_neg, ← oangle_rev]
/-- Two different points are equidistant from a third point if and only if that third point
equals some multiple of a `π / 2` rotation of the vector between those points, plus the midpoint
of those points. -/
theorem dist_eq_iff_eq_smul_rotation_pi_div_two_vadd_midpoint {p₁ p₂ p : P} (h : p₁ ≠ p₂) :
dist p₁ p = dist p₂ p ↔
∃ r : ℝ, r • o.rotation (π / 2 : ℝ) (p₂ -ᵥ p₁) +ᵥ midpoint ℝ p₁ p₂ = p := by
refine ⟨fun hd => ?_, fun hr => ?_⟩
· have hi : ⟪p₂ -ᵥ p₁, p -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := by
rw [@dist_eq_norm_vsub' V, @dist_eq_norm_vsub' V, ←
mul_self_inj (norm_nonneg _) (norm_nonneg _), ← real_inner_self_eq_norm_mul_norm, ←
real_inner_self_eq_norm_mul_norm] at hd
simp_rw [vsub_midpoint, ← vsub_sub_vsub_cancel_left p₂ p₁ p, inner_sub_left, inner_add_right,
inner_smul_right, hd, real_inner_comm (p -ᵥ p₁)]
abel
rw [@Orientation.inner_eq_zero_iff_eq_zero_or_eq_smul_rotation_pi_div_two V _ _ _ o,
or_iff_right (vsub_ne_zero.2 h.symm)] at hi
rcases hi with ⟨r, hr⟩
rw [eq_comm, ← eq_vadd_iff_vsub_eq] at hr
exact ⟨r, hr.symm⟩
· rcases hr with ⟨r, rfl⟩
simp_rw [@dist_eq_norm_vsub V, vsub_vadd_eq_vsub_sub, left_vsub_midpoint, right_vsub_midpoint,
invOf_eq_inv, ← neg_vsub_eq_vsub_rev p₂ p₁, ← mul_self_inj (norm_nonneg _) (norm_nonneg _), ←
real_inner_self_eq_norm_mul_norm, inner_sub_sub_self]
| simp [-neg_vsub_eq_vsub_rev]
open AffineSubspace
| Mathlib/Geometry/Euclidean/Angle/Oriented/Affine.lean | 585 | 587 |
/-
Copyright (c) 2021 Bryan Gin-ge Chen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Adam Topaz, Bryan Gin-ge Chen, Yaël Dillies
-/
import Mathlib.Order.BooleanAlgebra
import Mathlib.Logic.Equiv.Basic
/-!
# Symmetric difference and bi-implication
This file defines the symmetric difference and bi-implication operators in (co-)Heyting algebras.
## Examples
Some examples are
* The symmetric difference of two sets is the set of elements that are in either but not both.
* The symmetric difference on propositions is `Xor'`.
* The symmetric difference on `Bool` is `Bool.xor`.
* The equivalence of propositions. Two propositions are equivalent if they imply each other.
* The symmetric difference translates to addition when considering a Boolean algebra as a Boolean
ring.
## Main declarations
* `symmDiff`: The symmetric difference operator, defined as `(a \ b) ⊔ (b \ a)`
* `bihimp`: The bi-implication operator, defined as `(b ⇨ a) ⊓ (a ⇨ b)`
In generalized Boolean algebras, the symmetric difference operator is:
* `symmDiff_comm`: commutative, and
* `symmDiff_assoc`: associative.
## Notations
* `a ∆ b`: `symmDiff a b`
* `a ⇔ b`: `bihimp a b`
## References
The proof of associativity follows the note "Associativity of the Symmetric Difference of Sets: A
Proof from the Book" by John McCuan:
* <https://people.math.gatech.edu/~mccuan/courses/4317/symmetricdifference.pdf>
## Tags
boolean ring, generalized boolean algebra, boolean algebra, symmetric difference, bi-implication,
Heyting
-/
assert_not_exists RelIso
open Function OrderDual
variable {ι α β : Type*} {π : ι → Type*}
/-- The symmetric difference operator on a type with `⊔` and `\` is `(A \ B) ⊔ (B \ A)`. -/
def symmDiff [Max α] [SDiff α] (a b : α) : α :=
a \ b ⊔ b \ a
/-- The Heyting bi-implication is `(b ⇨ a) ⊓ (a ⇨ b)`. This generalizes equivalence of
propositions. -/
def bihimp [Min α] [HImp α] (a b : α) : α :=
(b ⇨ a) ⊓ (a ⇨ b)
/-- Notation for symmDiff -/
scoped[symmDiff] infixl:100 " ∆ " => symmDiff
/-- Notation for bihimp -/
scoped[symmDiff] infixl:100 " ⇔ " => bihimp
open scoped symmDiff
theorem symmDiff_def [Max α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a :=
rfl
theorem bihimp_def [Min α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) :=
rfl
theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q :=
rfl
@[simp]
theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) :=
iff_iff_implies_and_implies.symm.trans Iff.comm
@[simp]
theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide
section GeneralizedCoheytingAlgebra
variable [GeneralizedCoheytingAlgebra α] (a b c : α)
@[simp]
theorem toDual_symmDiff : toDual (a ∆ b) = toDual a ⇔ toDual b :=
rfl
@[simp]
theorem ofDual_bihimp (a b : αᵒᵈ) : ofDual (a ⇔ b) = ofDual a ∆ ofDual b :=
rfl
theorem symmDiff_comm : a ∆ b = b ∆ a := by simp only [symmDiff, sup_comm]
instance symmDiff_isCommutative : Std.Commutative (α := α) (· ∆ ·) :=
⟨symmDiff_comm⟩
@[simp]
theorem symmDiff_self : a ∆ a = ⊥ := by rw [symmDiff, sup_idem, sdiff_self]
@[simp]
theorem symmDiff_bot : a ∆ ⊥ = a := by rw [symmDiff, sdiff_bot, bot_sdiff, sup_bot_eq]
@[simp]
theorem bot_symmDiff : ⊥ ∆ a = a := by rw [symmDiff_comm, symmDiff_bot]
@[simp]
theorem symmDiff_eq_bot {a b : α} : a ∆ b = ⊥ ↔ a = b := by
simp_rw [symmDiff, sup_eq_bot_iff, sdiff_eq_bot_iff, le_antisymm_iff]
theorem symmDiff_of_le {a b : α} (h : a ≤ b) : a ∆ b = b \ a := by
rw [symmDiff, sdiff_eq_bot_iff.2 h, bot_sup_eq]
theorem symmDiff_of_ge {a b : α} (h : b ≤ a) : a ∆ b = a \ b := by
rw [symmDiff, sdiff_eq_bot_iff.2 h, sup_bot_eq]
theorem symmDiff_le {a b c : α} (ha : a ≤ b ⊔ c) (hb : b ≤ a ⊔ c) : a ∆ b ≤ c :=
sup_le (sdiff_le_iff.2 ha) <| sdiff_le_iff.2 hb
theorem symmDiff_le_iff {a b c : α} : a ∆ b ≤ c ↔ a ≤ b ⊔ c ∧ b ≤ a ⊔ c := by
simp_rw [symmDiff, sup_le_iff, sdiff_le_iff]
@[simp]
theorem symmDiff_le_sup {a b : α} : a ∆ b ≤ a ⊔ b :=
sup_le_sup sdiff_le sdiff_le
theorem symmDiff_eq_sup_sdiff_inf : a ∆ b = (a ⊔ b) \ (a ⊓ b) := by simp [sup_sdiff, symmDiff]
theorem Disjoint.symmDiff_eq_sup {a b : α} (h : Disjoint a b) : a ∆ b = a ⊔ b := by
rw [symmDiff, h.sdiff_eq_left, h.sdiff_eq_right]
theorem symmDiff_sdiff : a ∆ b \ c = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) := by
rw [symmDiff, sup_sdiff_distrib, sdiff_sdiff_left, sdiff_sdiff_left]
@[simp]
theorem symmDiff_sdiff_inf : a ∆ b \ (a ⊓ b) = a ∆ b := by
rw [symmDiff_sdiff]
simp [symmDiff]
@[simp]
theorem symmDiff_sdiff_eq_sup : a ∆ (b \ a) = a ⊔ b := by
rw [symmDiff, sdiff_idem]
exact
le_antisymm (sup_le_sup sdiff_le sdiff_le)
(sup_le le_sdiff_sup <| le_sdiff_sup.trans <| sup_le le_sup_right le_sdiff_sup)
@[simp]
theorem sdiff_symmDiff_eq_sup : (a \ b) ∆ b = a ⊔ b := by
rw [symmDiff_comm, symmDiff_sdiff_eq_sup, sup_comm]
@[simp]
theorem symmDiff_sup_inf : a ∆ b ⊔ a ⊓ b = a ⊔ b := by
refine le_antisymm (sup_le symmDiff_le_sup inf_le_sup) ?_
rw [sup_inf_left, symmDiff]
refine sup_le (le_inf le_sup_right ?_) (le_inf ?_ le_sup_right)
· rw [sup_right_comm]
exact le_sup_of_le_left le_sdiff_sup
· rw [sup_assoc]
exact le_sup_of_le_right le_sdiff_sup
@[simp]
theorem inf_sup_symmDiff : a ⊓ b ⊔ a ∆ b = a ⊔ b := by rw [sup_comm, symmDiff_sup_inf]
@[simp]
theorem symmDiff_symmDiff_inf : a ∆ b ∆ (a ⊓ b) = a ⊔ b := by
rw [← symmDiff_sdiff_inf a, sdiff_symmDiff_eq_sup, symmDiff_sup_inf]
@[simp]
theorem inf_symmDiff_symmDiff : (a ⊓ b) ∆ (a ∆ b) = a ⊔ b := by
rw [symmDiff_comm, symmDiff_symmDiff_inf]
theorem symmDiff_triangle : a ∆ c ≤ a ∆ b ⊔ b ∆ c := by
refine (sup_le_sup (sdiff_triangle a b c) <| sdiff_triangle _ b _).trans_eq ?_
rw [sup_comm (c \ b), sup_sup_sup_comm, symmDiff, symmDiff]
theorem le_symmDiff_sup_right (a b : α) : a ≤ (a ∆ b) ⊔ b := by
convert symmDiff_triangle a b ⊥ <;> rw [symmDiff_bot]
theorem le_symmDiff_sup_left (a b : α) : b ≤ (a ∆ b) ⊔ a :=
symmDiff_comm a b ▸ le_symmDiff_sup_right ..
end GeneralizedCoheytingAlgebra
section GeneralizedHeytingAlgebra
variable [GeneralizedHeytingAlgebra α] (a b c : α)
@[simp]
theorem toDual_bihimp : toDual (a ⇔ b) = toDual a ∆ toDual b :=
rfl
@[simp]
theorem ofDual_symmDiff (a b : αᵒᵈ) : ofDual (a ∆ b) = ofDual a ⇔ ofDual b :=
rfl
theorem bihimp_comm : a ⇔ b = b ⇔ a := by simp only [(· ⇔ ·), inf_comm]
instance bihimp_isCommutative : Std.Commutative (α := α) (· ⇔ ·) :=
⟨bihimp_comm⟩
@[simp]
theorem bihimp_self : a ⇔ a = ⊤ := by rw [bihimp, inf_idem, himp_self]
@[simp]
theorem bihimp_top : a ⇔ ⊤ = a := by rw [bihimp, himp_top, top_himp, inf_top_eq]
@[simp]
theorem top_bihimp : ⊤ ⇔ a = a := by rw [bihimp_comm, bihimp_top]
@[simp]
theorem bihimp_eq_top {a b : α} : a ⇔ b = ⊤ ↔ a = b :=
@symmDiff_eq_bot αᵒᵈ _ _ _
theorem bihimp_of_le {a b : α} (h : a ≤ b) : a ⇔ b = b ⇨ a := by
rw [bihimp, himp_eq_top_iff.2 h, inf_top_eq]
theorem bihimp_of_ge {a b : α} (h : b ≤ a) : a ⇔ b = a ⇨ b := by
rw [bihimp, himp_eq_top_iff.2 h, top_inf_eq]
theorem le_bihimp {a b c : α} (hb : a ⊓ b ≤ c) (hc : a ⊓ c ≤ b) : a ≤ b ⇔ c :=
le_inf (le_himp_iff.2 hc) <| le_himp_iff.2 hb
theorem le_bihimp_iff {a b c : α} : a ≤ b ⇔ c ↔ a ⊓ b ≤ c ∧ a ⊓ c ≤ b := by
simp_rw [bihimp, le_inf_iff, le_himp_iff, and_comm]
@[simp]
theorem inf_le_bihimp {a b : α} : a ⊓ b ≤ a ⇔ b :=
inf_le_inf le_himp le_himp
theorem bihimp_eq_inf_himp_inf : a ⇔ b = a ⊔ b ⇨ a ⊓ b := by simp [himp_inf_distrib, bihimp]
theorem Codisjoint.bihimp_eq_inf {a b : α} (h : Codisjoint a b) : a ⇔ b = a ⊓ b := by
rw [bihimp, h.himp_eq_left, h.himp_eq_right]
theorem himp_bihimp : a ⇨ b ⇔ c = (a ⊓ c ⇨ b) ⊓ (a ⊓ b ⇨ c) := by
rw [bihimp, himp_inf_distrib, himp_himp, himp_himp]
@[simp]
theorem sup_himp_bihimp : a ⊔ b ⇨ a ⇔ b = a ⇔ b := by
rw [himp_bihimp]
simp [bihimp]
@[simp]
theorem bihimp_himp_eq_inf : a ⇔ (a ⇨ b) = a ⊓ b :=
@symmDiff_sdiff_eq_sup αᵒᵈ _ _ _
@[simp]
theorem himp_bihimp_eq_inf : (b ⇨ a) ⇔ b = a ⊓ b :=
@sdiff_symmDiff_eq_sup αᵒᵈ _ _ _
@[simp]
theorem bihimp_inf_sup : a ⇔ b ⊓ (a ⊔ b) = a ⊓ b :=
@symmDiff_sup_inf αᵒᵈ _ _ _
@[simp]
theorem sup_inf_bihimp : (a ⊔ b) ⊓ a ⇔ b = a ⊓ b :=
@inf_sup_symmDiff αᵒᵈ _ _ _
@[simp]
theorem bihimp_bihimp_sup : a ⇔ b ⇔ (a ⊔ b) = a ⊓ b :=
@symmDiff_symmDiff_inf αᵒᵈ _ _ _
@[simp]
theorem sup_bihimp_bihimp : (a ⊔ b) ⇔ (a ⇔ b) = a ⊓ b :=
@inf_symmDiff_symmDiff αᵒᵈ _ _ _
theorem bihimp_triangle : a ⇔ b ⊓ b ⇔ c ≤ a ⇔ c :=
@symmDiff_triangle αᵒᵈ _ _ _ _
end GeneralizedHeytingAlgebra
section CoheytingAlgebra
variable [CoheytingAlgebra α] (a : α)
@[simp]
theorem symmDiff_top' : a ∆ ⊤ = ￢a := by simp [symmDiff]
@[simp]
theorem top_symmDiff' : ⊤ ∆ a = ￢a := by simp [symmDiff]
@[simp]
theorem hnot_symmDiff_self : (￢a) ∆ a = ⊤ := by
rw [eq_top_iff, symmDiff, hnot_sdiff, sup_sdiff_self]
exact Codisjoint.top_le codisjoint_hnot_left
@[simp]
theorem symmDiff_hnot_self : a ∆ (￢a) = ⊤ := by rw [symmDiff_comm, hnot_symmDiff_self]
theorem IsCompl.symmDiff_eq_top {a b : α} (h : IsCompl a b) : a ∆ b = ⊤ := by
rw [h.eq_hnot, hnot_symmDiff_self]
end CoheytingAlgebra
section HeytingAlgebra
variable [HeytingAlgebra α] (a : α)
@[simp]
theorem bihimp_bot : a ⇔ ⊥ = aᶜ := by simp [bihimp]
@[simp]
theorem bot_bihimp : ⊥ ⇔ a = aᶜ := by simp [bihimp]
@[simp]
theorem compl_bihimp_self : aᶜ ⇔ a = ⊥ :=
@hnot_symmDiff_self αᵒᵈ _ _
@[simp]
theorem bihimp_hnot_self : a ⇔ aᶜ = ⊥ :=
@symmDiff_hnot_self αᵒᵈ _ _
theorem IsCompl.bihimp_eq_bot {a b : α} (h : IsCompl a b) : a ⇔ b = ⊥ := by
rw [h.eq_compl, compl_bihimp_self]
end HeytingAlgebra
section GeneralizedBooleanAlgebra
variable [GeneralizedBooleanAlgebra α] (a b c d : α)
@[simp]
theorem sup_sdiff_symmDiff : (a ⊔ b) \ a ∆ b = a ⊓ b :=
sdiff_eq_symm inf_le_sup (by rw [symmDiff_eq_sup_sdiff_inf])
theorem disjoint_symmDiff_inf : Disjoint (a ∆ b) (a ⊓ b) := by
rw [symmDiff_eq_sup_sdiff_inf]
exact disjoint_sdiff_self_left
theorem inf_symmDiff_distrib_left : a ⊓ b ∆ c = (a ⊓ b) ∆ (a ⊓ c) := by
rw [symmDiff_eq_sup_sdiff_inf, inf_sdiff_distrib_left, inf_sup_left, inf_inf_distrib_left,
symmDiff_eq_sup_sdiff_inf]
theorem inf_symmDiff_distrib_right : a ∆ b ⊓ c = (a ⊓ c) ∆ (b ⊓ c) := by
simp_rw [inf_comm _ c, inf_symmDiff_distrib_left]
theorem sdiff_symmDiff : c \ a ∆ b = c ⊓ a ⊓ b ⊔ c \ a ⊓ c \ b := by
simp only [(· ∆ ·), sdiff_sdiff_sup_sdiff']
theorem sdiff_symmDiff' : c \ a ∆ b = c ⊓ a ⊓ b ⊔ c \ (a ⊔ b) := by
rw [sdiff_symmDiff, sdiff_sup]
@[simp]
theorem symmDiff_sdiff_left : a ∆ b \ a = b \ a := by
rw [symmDiff_def, sup_sdiff, sdiff_idem, sdiff_sdiff_self, bot_sup_eq]
@[simp]
theorem symmDiff_sdiff_right : a ∆ b \ b = a \ b := by rw [symmDiff_comm, symmDiff_sdiff_left]
@[simp]
theorem sdiff_symmDiff_left : a \ a ∆ b = a ⊓ b := by simp [sdiff_symmDiff]
@[simp]
theorem sdiff_symmDiff_right : b \ a ∆ b = a ⊓ b := by
rw [symmDiff_comm, inf_comm, sdiff_symmDiff_left]
theorem symmDiff_eq_sup : a ∆ b = a ⊔ b ↔ Disjoint a b := by
refine ⟨fun h => ?_, Disjoint.symmDiff_eq_sup⟩
rw [symmDiff_eq_sup_sdiff_inf, sdiff_eq_self_iff_disjoint] at h
exact h.of_disjoint_inf_of_le le_sup_left
@[simp]
theorem le_symmDiff_iff_left : a ≤ a ∆ b ↔ Disjoint a b := by
refine ⟨fun h => ?_, fun h => h.symmDiff_eq_sup.symm ▸ le_sup_left⟩
rw [symmDiff_eq_sup_sdiff_inf] at h
exact disjoint_iff_inf_le.mpr (le_sdiff_right.1 <| inf_le_of_left_le h).le
@[simp]
theorem le_symmDiff_iff_right : b ≤ a ∆ b ↔ Disjoint a b := by
rw [symmDiff_comm, le_symmDiff_iff_left, disjoint_comm]
theorem symmDiff_symmDiff_left :
a ∆ b ∆ c = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) ⊔ c \ (a ⊔ b) ⊔ a ⊓ b ⊓ c :=
calc
a ∆ b ∆ c = a ∆ b \ c ⊔ c \ a ∆ b := symmDiff_def _ _
_ = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) ⊔ (c \ (a ⊔ b) ⊔ c ⊓ a ⊓ b) := by
{ rw [sdiff_symmDiff', sup_comm (c ⊓ a ⊓ b), symmDiff_sdiff] }
_ = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) ⊔ c \ (a ⊔ b) ⊔ a ⊓ b ⊓ c := by ac_rfl
theorem symmDiff_symmDiff_right :
a ∆ (b ∆ c) = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) ⊔ c \ (a ⊔ b) ⊔ a ⊓ b ⊓ c :=
calc
a ∆ (b ∆ c) = a \ b ∆ c ⊔ b ∆ c \ a := symmDiff_def _ _
_ = a \ (b ⊔ c) ⊔ a ⊓ b ⊓ c ⊔ (b \ (c ⊔ a) ⊔ c \ (b ⊔ a)) := by
{ rw [sdiff_symmDiff', sup_comm (a ⊓ b ⊓ c), symmDiff_sdiff] }
_ = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) ⊔ c \ (a ⊔ b) ⊔ a ⊓ b ⊓ c := by ac_rfl
theorem symmDiff_assoc : a ∆ b ∆ c = a ∆ (b ∆ c) := by
| rw [symmDiff_symmDiff_left, symmDiff_symmDiff_right]
| Mathlib/Order/SymmDiff.lean | 399 | 400 |
/-
Copyright (c) 2018 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Simon Hudon
-/
import Mathlib.Data.PFunctor.Multivariate.W
import Mathlib.Data.QPF.Multivariate.Basic
/-!
# The initial algebra of a multivariate qpf is again a qpf.
For an `(n+1)`-ary QPF `F (α₀,..,αₙ)`, we take the least fixed point of `F` with
regards to its last argument `αₙ`. The result is an `n`-ary functor: `Fix F (α₀,..,αₙ₋₁)`.
Making `Fix F` into a functor allows us to take the fixed point, compose with other functors
and take a fixed point again.
## Main definitions
* `Fix.mk` - constructor
* `Fix.dest` - destructor
* `Fix.rec` - recursor: basis for defining functions by structural recursion on `Fix F α`
* `Fix.drec` - dependent recursor: generalization of `Fix.rec` where
the result type of the function is allowed to depend on the `Fix F α` value
* `Fix.rec_eq` - defining equation for `recursor`
* `Fix.ind` - induction principle for `Fix F α`
## Implementation notes
For `F` a `QPF`, we define `Fix F α` in terms of the W-type of the polynomial functor `P` of `F`.
We define the relation `WEquiv` and take its quotient as the definition of `Fix F α`.
See [avigad-carneiro-hudon2019] for more details.
## Reference
* Jeremy Avigad, Mario M. Carneiro and Simon Hudon.
[*Data Types as Quotients of Polynomial Functors*][avigad-carneiro-hudon2019]
-/
universe u v
namespace MvQPF
open TypeVec
open MvFunctor (LiftP LiftR)
open MvFunctor
variable {n : ℕ} {F : TypeVec.{u} (n + 1) → Type u} [q : MvQPF F]
/-- `recF` is used as a basis for defining the recursor on `Fix F α`. `recF`
traverses recursively the W-type generated by `q.P` using a function on `F`
as a recursive step -/
def recF {α : TypeVec n} {β : Type u} (g : F (α.append1 β) → β) : q.P.W α → β :=
q.P.wRec fun a f' _f rec => g (abs ⟨a, splitFun f' rec⟩)
theorem recF_eq {α : TypeVec n} {β : Type u} (g : F (α.append1 β) → β) (a : q.P.A)
(f' : q.P.drop.B a ⟹ α) (f : q.P.last.B a → q.P.W α) :
recF g (q.P.wMk a f' f) = g (abs ⟨a, splitFun f' (recF g ∘ f)⟩) := by
rw [recF, MvPFunctor.wRec_eq]; rfl
theorem recF_eq' {α : TypeVec n} {β : Type u} (g : F (α.append1 β) → β) (x : q.P.W α) :
recF g x = g (abs (appendFun id (recF g) <$$> q.P.wDest' x)) := by
apply q.P.w_cases _ x
intro a f' f
rw [recF_eq, q.P.wDest'_wMk, MvPFunctor.map_eq, appendFun_comp_splitFun, TypeVec.id_comp]
/-- Equivalence relation on W-types that represent the same `Fix F`
value -/
inductive WEquiv {α : TypeVec n} : q.P.W α → q.P.W α → Prop
| ind (a : q.P.A) (f' : q.P.drop.B a ⟹ α) (f₀ f₁ : q.P.last.B a → q.P.W α) :
(∀ x, WEquiv (f₀ x) (f₁ x)) → WEquiv (q.P.wMk a f' f₀) (q.P.wMk a f' f₁)
| abs (a₀ : q.P.A) (f'₀ : q.P.drop.B a₀ ⟹ α) (f₀ : q.P.last.B a₀ → q.P.W α) (a₁ : q.P.A)
(f'₁ : q.P.drop.B a₁ ⟹ α) (f₁ : q.P.last.B a₁ → q.P.W α) :
abs ⟨a₀, q.P.appendContents f'₀ f₀⟩ = abs ⟨a₁, q.P.appendContents f'₁ f₁⟩ →
WEquiv (q.P.wMk a₀ f'₀ f₀) (q.P.wMk a₁ f'₁ f₁)
| trans (u v w : q.P.W α) : WEquiv u v → WEquiv v w → WEquiv u w
theorem recF_eq_of_wEquiv (α : TypeVec n) {β : Type u} (u : F (α.append1 β) → β) (x y : q.P.W α) :
WEquiv x y → recF u x = recF u y := by
apply q.P.w_cases _ x
intro a₀ f'₀ f₀
apply q.P.w_cases _ y
intro a₁ f'₁ f₁
intro h
-- Porting note: induction on h doesn't work.
refine @WEquiv.recOn _ _ _ _ (fun a a' _ ↦ recF u a = recF u a') _ _ h ?_ ?_ ?_
· intros a f' f₀ f₁ _h ih; simp only [recF_eq, Function.comp]
congr; funext; congr; funext; apply ih
· intros a₀ f'₀ f₀ a₁ f'₁ f₁ h; simp only [recF_eq', abs_map, MvPFunctor.wDest'_wMk, h]
· intros x y z _e₁ _e₂ ih₁ ih₂; exact Eq.trans ih₁ ih₂
theorem wEquiv.abs' {α : TypeVec n} (x y : q.P.W α)
(h : MvQPF.abs (q.P.wDest' x) = MvQPF.abs (q.P.wDest' y)) :
WEquiv x y := by
revert h
apply q.P.w_cases _ x
intro a₀ f'₀ f₀
apply q.P.w_cases _ y
intro a₁ f'₁ f₁
apply WEquiv.abs
theorem wEquiv.refl {α : TypeVec n} (x : q.P.W α) : WEquiv x x := by
apply q.P.w_cases _ x; intro a f' f; exact WEquiv.abs a f' f a f' f rfl
theorem wEquiv.symm {α : TypeVec n} (x y : q.P.W α) : WEquiv x y → WEquiv y x := by
intro h; induction h with
| ind a f' f₀ f₁ _h ih => exact WEquiv.ind _ _ _ _ ih
| abs a₀ f'₀ f₀ a₁ f'₁ f₁ h => exact WEquiv.abs _ _ _ _ _ _ h.symm
| trans x y z _e₁ _e₂ ih₁ ih₂ => exact MvQPF.WEquiv.trans _ _ _ ih₂ ih₁
/-- maps every element of the W type to a canonical representative -/
def wrepr {α : TypeVec n} : q.P.W α → q.P.W α :=
recF (q.P.wMk' ∘ repr)
theorem wrepr_wMk {α : TypeVec n} (a : q.P.A) (f' : q.P.drop.B a ⟹ α)
(f : q.P.last.B a → q.P.W α) :
wrepr (q.P.wMk a f' f) =
q.P.wMk' (repr (abs (appendFun id wrepr <$$> ⟨a, q.P.appendContents f' f⟩))) := by
rw [wrepr, recF_eq', q.P.wDest'_wMk]; rfl
theorem wrepr_equiv {α : TypeVec n} (x : q.P.W α) : WEquiv (wrepr x) x := by
apply q.P.w_ind _ x; intro a f' f ih
apply WEquiv.trans _ (q.P.wMk' (appendFun id wrepr <$$> ⟨a, q.P.appendContents f' f⟩))
· apply wEquiv.abs'
rw [wrepr_wMk, q.P.wDest'_wMk', q.P.wDest'_wMk', abs_repr]
rw [q.P.map_eq, MvPFunctor.wMk', appendFun_comp_splitFun, id_comp]
apply WEquiv.ind; exact ih
theorem wEquiv_map {α β : TypeVec n} (g : α ⟹ β) (x y : q.P.W α) :
WEquiv x y → WEquiv (g <$$> x) (g <$$> y) := by
intro h; induction h with
| ind a f' f₀ f₁ h ih => rw [q.P.w_map_wMk, q.P.w_map_wMk]; apply WEquiv.ind; exact ih
| abs a₀ f'₀ f₀ a₁ f'₁ f₁ h =>
rw [q.P.w_map_wMk, q.P.w_map_wMk]; apply WEquiv.abs
| show
abs (q.P.objAppend1 a₀ (g ⊚ f'₀) fun x => q.P.wMap g (f₀ x)) =
abs (q.P.objAppend1 a₁ (g ⊚ f'₁) fun x => q.P.wMap g (f₁ x))
rw [← q.P.map_objAppend1, ← q.P.map_objAppend1, abs_map, abs_map, h]
| trans x y z _ _ ih₁ ih₂ =>
| Mathlib/Data/QPF/Multivariate/Constructions/Fix.lean | 139 | 143 |
/-
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.Algebra.Group.Pi.Basic
import Mathlib.Data.Set.BooleanAlgebra
import Mathlib.Data.Set.Piecewise
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Order.Interval.Set.UnorderedInterval
/-!
# Intervals in `pi`-space
In this we prove various simple lemmas about intervals in `Π i, α i`. Closed intervals (`Ici x`,
`Iic x`, `Icc x y`) are equal to products of their projections to `α i`, while (semi-)open intervals
usually include the corresponding products as proper subsets.
-/
-- Porting note: Added, since dot notation no longer works on `Function.update`
open Function
variable {ι : Type*} {α : ι → Type*}
namespace Set
section PiPreorder
variable [∀ i, Preorder (α i)] (x y : ∀ i, α i)
@[simp]
theorem pi_univ_Ici : (pi univ fun i ↦ Ici (x i)) = Ici x :=
ext fun y ↦ by simp [Pi.le_def]
@[simp]
theorem pi_univ_Iic : (pi univ fun i ↦ Iic (x i)) = Iic x :=
ext fun y ↦ by simp [Pi.le_def]
@[simp]
theorem pi_univ_Icc : (pi univ fun i ↦ Icc (x i) (y i)) = Icc x y :=
ext fun y ↦ by simp [Pi.le_def, forall_and]
theorem piecewise_mem_Icc {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i}
(h₁ : ∀ i ∈ s, f₁ i ∈ Icc (g₁ i) (g₂ i)) (h₂ : ∀ i ∉ s, f₂ i ∈ Icc (g₁ i) (g₂ i)) :
s.piecewise f₁ f₂ ∈ Icc g₁ g₂ :=
⟨le_piecewise (fun i hi ↦ (h₁ i hi).1) fun i hi ↦ (h₂ i hi).1,
piecewise_le (fun i hi ↦ (h₁ i hi).2) fun i hi ↦ (h₂ i hi).2⟩
theorem piecewise_mem_Icc' {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i}
(h₁ : f₁ ∈ Icc g₁ g₂) (h₂ : f₂ ∈ Icc g₁ g₂) : s.piecewise f₁ f₂ ∈ Icc g₁ g₂ :=
piecewise_mem_Icc (fun _ _ ↦ ⟨h₁.1 _, h₁.2 _⟩) fun _ _ ↦ ⟨h₂.1 _, h₂.2 _⟩
section Nonempty
theorem pi_univ_Ioi_subset [Nonempty ι]: (pi univ fun i ↦ Ioi (x i)) ⊆ Ioi x := fun _ hz ↦
⟨fun i ↦ le_of_lt <| hz i trivial, fun h ↦
(‹Nonempty ι›.elim) fun i ↦ not_lt_of_le (h i) (hz i trivial)⟩
theorem pi_univ_Iio_subset [Nonempty ι]: (pi univ fun i ↦ Iio (x i)) ⊆ Iio x :=
pi_univ_Ioi_subset (α := fun i ↦ (α i)ᵒᵈ) x
theorem pi_univ_Ioo_subset [Nonempty ι]: (pi univ fun i ↦ Ioo (x i) (y i)) ⊆ Ioo x y := fun _ hx ↦
⟨(pi_univ_Ioi_subset _) fun i hi ↦ (hx i hi).1, (pi_univ_Iio_subset _) fun i hi ↦ (hx i hi).2⟩
theorem pi_univ_Ioc_subset [Nonempty ι]: (pi univ fun i ↦ Ioc (x i) (y i)) ⊆ Ioc x y := fun _ hx ↦
⟨(pi_univ_Ioi_subset _) fun i hi ↦ (hx i hi).1, fun i ↦ (hx i trivial).2⟩
theorem pi_univ_Ico_subset [Nonempty ι]: (pi univ fun i ↦ Ico (x i) (y i)) ⊆ Ico x y := fun _ hx ↦
⟨fun i ↦ (hx i trivial).1, (pi_univ_Iio_subset _) fun i hi ↦ (hx i hi).2⟩
end Nonempty
variable [DecidableEq ι]
open Function (update)
theorem pi_univ_Ioc_update_left {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} (hm : x i₀ ≤ m) :
(pi univ fun i ↦ Ioc (update x i₀ m i) (y i)) =
{ z | m < z i₀ } ∩ pi univ fun i ↦ Ioc (x i) (y i) := by
have : Ioc m (y i₀) = Ioi m ∩ Ioc (x i₀) (y i₀) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, ← inter_assoc,
inter_eq_self_of_subset_left (Ioi_subset_Ioi hm)]
simp_rw [univ_pi_update i₀ _ _ fun i z ↦ Ioc z (y i), ← pi_inter_compl ({i₀} : Set ι),
singleton_pi', ← inter_assoc, this]
rfl
theorem pi_univ_Ioc_update_right {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} (hm : m ≤ y i₀) :
(pi univ fun i ↦ Ioc (x i) (update y i₀ m i)) =
{ z | z i₀ ≤ m } ∩ pi univ fun i ↦ Ioc (x i) (y i) := by
have : Ioc (x i₀) m = Iic m ∩ Ioc (x i₀) (y i₀) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, inter_left_comm,
inter_eq_self_of_subset_left (Iic_subset_Iic.2 hm)]
simp_rw [univ_pi_update i₀ y m fun i z ↦ Ioc (x i) z, ← pi_inter_compl ({i₀} : Set ι),
singleton_pi', ← inter_assoc, this]
rfl
theorem disjoint_pi_univ_Ioc_update_left_right {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} :
Disjoint (pi univ fun i ↦ Ioc (x i) (update y i₀ m i))
(pi univ fun i ↦ Ioc (update x i₀ m i) (y i)) := by
rw [disjoint_left]
rintro z h₁ h₂
refine (h₁ i₀ (mem_univ _)).2.not_lt ?_
simpa only [Function.update_self] using (h₂ i₀ (mem_univ _)).1
end PiPreorder
section PiPartialOrder
variable [DecidableEq ι] [∀ i, PartialOrder (α i)]
-- Porting note: Dot notation on `Function.update` broke
theorem image_update_Icc (f : ∀ i, α i) (i : ι) (a b : α i) :
update f i '' Icc a b = Icc (update f i a) (update f i b) := by
ext x
rw [← Set.pi_univ_Icc]
refine ⟨?_, fun h => ⟨x i, ?_, ?_⟩⟩
· rintro ⟨c, hc, rfl⟩
simpa [update_le_update_iff]
· simpa only [Function.update_self] using h i (mem_univ i)
· ext j
obtain rfl | hij := eq_or_ne i j
· exact Function.update_self ..
· simpa only [Function.update_of_ne hij.symm, le_antisymm_iff] using h j (mem_univ j)
theorem image_update_Ico (f : ∀ i, α i) (i : ι) (a b : α i) :
update f i '' Ico a b = Ico (update f i a) (update f i b) := by
rw [← Icc_diff_right, ← Icc_diff_right, image_diff (update_injective _ _), image_singleton,
image_update_Icc]
theorem image_update_Ioc (f : ∀ i, α i) (i : ι) (a b : α i) :
update f i '' Ioc a b = Ioc (update f i a) (update f i b) := by
rw [← Icc_diff_left, ← Icc_diff_left, image_diff (update_injective _ _), image_singleton,
image_update_Icc]
theorem image_update_Ioo (f : ∀ i, α i) (i : ι) (a b : α i) :
update f i '' Ioo a b = Ioo (update f i a) (update f i b) := by
rw [← Ico_diff_left, ← Ico_diff_left, image_diff (update_injective _ _), image_singleton,
image_update_Ico]
theorem image_update_Icc_left (f : ∀ i, α i) (i : ι) (a : α i) :
update f i '' Icc a (f i) = Icc (update f i a) f := by simpa using image_update_Icc f i a (f i)
theorem image_update_Ico_left (f : ∀ i, α i) (i : ι) (a : α i) :
update f i '' Ico a (f i) = Ico (update f i a) f := by simpa using image_update_Ico f i a (f i)
theorem image_update_Ioc_left (f : ∀ i, α i) (i : ι) (a : α i) :
update f i '' Ioc a (f i) = Ioc (update f i a) f := by simpa using image_update_Ioc f i a (f i)
theorem image_update_Ioo_left (f : ∀ i, α i) (i : ι) (a : α i) :
update f i '' Ioo a (f i) = Ioo (update f i a) f := by simpa using image_update_Ioo f i a (f i)
theorem image_update_Icc_right (f : ∀ i, α i) (i : ι) (b : α i) :
update f i '' Icc (f i) b = Icc f (update f i b) := by simpa using image_update_Icc f i (f i) b
theorem image_update_Ico_right (f : ∀ i, α i) (i : ι) (b : α i) :
update f i '' Ico (f i) b = Ico f (update f i b) := by simpa using image_update_Ico f i (f i) b
theorem image_update_Ioc_right (f : ∀ i, α i) (i : ι) (b : α i) :
update f i '' Ioc (f i) b = Ioc f (update f i b) := by simpa using image_update_Ioc f i (f i) b
theorem image_update_Ioo_right (f : ∀ i, α i) (i : ι) (b : α i) :
update f i '' Ioo (f i) b = Ioo f (update f i b) := by simpa using image_update_Ioo f i (f i) b
variable [∀ i, One (α i)]
@[to_additive]
theorem image_mulSingle_Icc (i : ι) (a b : α i) :
Pi.mulSingle i '' Icc a b = Icc (Pi.mulSingle i a) (Pi.mulSingle i b) :=
image_update_Icc _ _ _ _
@[to_additive]
theorem image_mulSingle_Ico (i : ι) (a b : α i) :
Pi.mulSingle i '' Ico a b = Ico (Pi.mulSingle i a) (Pi.mulSingle i b) :=
image_update_Ico _ _ _ _
@[to_additive]
theorem image_mulSingle_Ioc (i : ι) (a b : α i) :
Pi.mulSingle i '' Ioc a b = Ioc (Pi.mulSingle i a) (Pi.mulSingle i b) :=
image_update_Ioc _ _ _ _
@[to_additive]
theorem image_mulSingle_Ioo (i : ι) (a b : α i) :
Pi.mulSingle i '' Ioo a b = Ioo (Pi.mulSingle i a) (Pi.mulSingle i b) :=
image_update_Ioo _ _ _ _
@[to_additive]
theorem image_mulSingle_Icc_left (i : ι) (a : α i) :
Pi.mulSingle i '' Icc a 1 = Icc (Pi.mulSingle i a) 1 :=
image_update_Icc_left _ _ _
@[to_additive]
theorem image_mulSingle_Ico_left (i : ι) (a : α i) :
Pi.mulSingle i '' Ico a 1 = Ico (Pi.mulSingle i a) 1 :=
image_update_Ico_left _ _ _
@[to_additive]
theorem image_mulSingle_Ioc_left (i : ι) (a : α i) :
Pi.mulSingle i '' Ioc a 1 = Ioc (Pi.mulSingle i a) 1 :=
image_update_Ioc_left _ _ _
@[to_additive]
theorem image_mulSingle_Ioo_left (i : ι) (a : α i) :
Pi.mulSingle i '' Ioo a 1 = Ioo (Pi.mulSingle i a) 1 :=
image_update_Ioo_left _ _ _
@[to_additive]
theorem image_mulSingle_Icc_right (i : ι) (b : α i) :
Pi.mulSingle i '' Icc 1 b = Icc 1 (Pi.mulSingle i b) :=
image_update_Icc_right _ _ _
@[to_additive]
theorem image_mulSingle_Ico_right (i : ι) (b : α i) :
Pi.mulSingle i '' Ico 1 b = Ico 1 (Pi.mulSingle i b) :=
image_update_Ico_right _ _ _
@[to_additive]
theorem image_mulSingle_Ioc_right (i : ι) (b : α i) :
Pi.mulSingle i '' Ioc 1 b = Ioc 1 (Pi.mulSingle i b) :=
image_update_Ioc_right _ _ _
@[to_additive]
theorem image_mulSingle_Ioo_right (i : ι) (b : α i) :
Pi.mulSingle i '' Ioo 1 b = Ioo 1 (Pi.mulSingle i b) :=
image_update_Ioo_right _ _ _
end PiPartialOrder
section PiLattice
variable [∀ i, Lattice (α i)]
@[simp]
theorem pi_univ_uIcc (a b : ∀ i, α i) : (pi univ fun i => uIcc (a i) (b i)) = uIcc a b :=
pi_univ_Icc _ _
variable [DecidableEq ι]
theorem image_update_uIcc (f : ∀ i, α i) (i : ι) (a b : α i) :
update f i '' uIcc a b = uIcc (update f i a) (update f i b) :=
(image_update_Icc _ _ _ _).trans <| by simp_rw [uIcc, update_sup, update_inf]
theorem image_update_uIcc_left (f : ∀ i, α i) (i : ι) (a : α i) :
update f i '' uIcc a (f i) = uIcc (update f i a) f := by
simpa using image_update_uIcc f i a (f i)
theorem image_update_uIcc_right (f : ∀ i, α i) (i : ι) (b : α i) :
update f i '' uIcc (f i) b = uIcc f (update f i b) := by
simpa using image_update_uIcc f i (f i) b
variable [∀ i, One (α i)]
@[to_additive]
theorem image_mulSingle_uIcc (i : ι) (a b : α i) :
Pi.mulSingle i '' uIcc a b = uIcc (Pi.mulSingle i a) (Pi.mulSingle i b) :=
image_update_uIcc _ _ _ _
@[to_additive]
theorem image_mulSingle_uIcc_left (i : ι) (a : α i) :
Pi.mulSingle i '' uIcc a 1 = uIcc (Pi.mulSingle i a) 1 :=
image_update_uIcc_left _ _ _
@[to_additive]
theorem image_mulSingle_uIcc_right (i : ι) (b : α i) :
Pi.mulSingle i '' uIcc 1 b = uIcc 1 (Pi.mulSingle i b) :=
image_update_uIcc_right _ _ _
end PiLattice
variable [DecidableEq ι] [∀ i, LinearOrder (α i)]
open Function (update)
theorem pi_univ_Ioc_update_union (x y : ∀ i, α i) (i₀ : ι) (m : α i₀) (hm : m ∈ Icc (x i₀) (y i₀)) :
((pi univ fun i ↦ Ioc (x i) (update y i₀ m i)) ∪
pi univ fun i ↦ Ioc (update x i₀ m i) (y i)) =
pi univ fun i ↦ Ioc (x i) (y i) := by
simp_rw [pi_univ_Ioc_update_left hm.1, pi_univ_Ioc_update_right hm.2, ← union_inter_distrib_right,
← setOf_or, le_or_lt, setOf_true, univ_inter]
/-- If `x`, `y`, `x'`, and `y'` are functions `Π i : ι, α i`, then
the set difference between the box `[x, y]` and the product of the open intervals `(x' i, y' i)`
is covered by the union of the following boxes: for each `i : ι`, we take
`[x, update y i (x' i)]` and `[update x i (y' i), y]`.
E.g., if `x' = x` and `y' = y`, then this lemma states that the difference between a closed box
`[x, y]` and the corresponding open box `{z | ∀ i, x i < z i < y i}` is covered by the union
of the faces of `[x, y]`. -/
theorem Icc_diff_pi_univ_Ioo_subset (x y x' y' : ∀ i, α i) :
(Icc x y \ pi univ fun i ↦ Ioo (x' i) (y' i)) ⊆
(⋃ i : ι, Icc x (update y i (x' i))) ∪ ⋃ i : ι, Icc (update x i (y' i)) y := by
| rintro a ⟨⟨hxa, hay⟩, ha'⟩
simp only [mem_pi, mem_univ, mem_Ioo, true_implies, not_forall] at ha'
simp only [le_update_iff, update_le_iff, mem_union, mem_iUnion, mem_Icc,
| Mathlib/Order/Interval/Set/Pi.lean | 291 | 293 |
/-
Copyright (c) 2023 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.MeasureTheory.Measure.Decomposition.RadonNikodym
/-!
# Exponentially tilted measures
The exponential tilting of a measure `μ` on `α` by a function `f : α → ℝ` is the measure with
density `x ↦ exp (f x) / ∫ y, exp (f y) ∂μ` with respect to `μ`. This is sometimes also called
the Esscher transform.
The definition is mostly used for `f` linear, in which case the exponentially tilted measure belongs
to the natural exponential family of the base measure. Exponentially tilted measures for general `f`
can be used for example to establish variational expressions for the Kullback-Leibler divergence.
## Main definitions
* `Measure.tilted μ f`: exponential tilting of `μ` by `f`, equal to
`μ.withDensity (fun x ↦ ENNReal.ofReal (exp (f x) / ∫ x, exp (f x) ∂μ))`.
-/
open Real
open scoped ENNReal NNReal
namespace MeasureTheory
variable {α : Type*} {mα : MeasurableSpace α} {μ : Measure α} {f : α → ℝ}
/-- Exponentially tilted measure. When `x ↦ exp (f x)` is integrable, `μ.tilted f` is the
probability measure with density with respect to `μ` proportional to `exp (f x)`. Otherwise it is 0.
-/
noncomputable
def Measure.tilted (μ : Measure α) (f : α → ℝ) : Measure α :=
μ.withDensity (fun x ↦ ENNReal.ofReal (exp (f x) / ∫ x, exp (f x) ∂μ))
@[simp]
lemma tilted_of_not_integrable (hf : ¬ Integrable (fun x ↦ exp (f x)) μ) : μ.tilted f = 0 := by
rw [Measure.tilted, integral_undef hf]
simp
@[simp]
lemma tilted_of_not_aemeasurable (hf : ¬ AEMeasurable f μ) : μ.tilted f = 0 := by
refine tilted_of_not_integrable ?_
suffices ¬ AEMeasurable (fun x ↦ exp (f x)) μ by exact fun h ↦ this h.1.aemeasurable
exact fun h ↦ hf (aemeasurable_of_aemeasurable_exp h)
@[simp]
lemma tilted_zero_measure (f : α → ℝ) : (0 : Measure α).tilted f = 0 := by simp [Measure.tilted]
@[simp]
lemma tilted_const' (μ : Measure α) (c : ℝ) :
μ.tilted (fun _ ↦ c) = (μ Set.univ)⁻¹ • μ := by
cases eq_zero_or_neZero μ with
| inl h => rw [h]; simp
| inr h0 =>
simp only [Measure.tilted, withDensity_const, integral_const, smul_eq_mul]
by_cases h_univ : μ Set.univ = ∞
· simp only [measureReal_def, h_univ, ENNReal.toReal_top, zero_mul, div_zero,
ENNReal.ofReal_zero, zero_smul, ENNReal.inv_top]
congr
rw [div_eq_mul_inv, mul_inv, mul_comm, mul_assoc, inv_mul_cancel₀ (exp_pos _).ne', mul_one,
measureReal_def, ← ENNReal.toReal_inv, ENNReal.ofReal_toReal]
simp [h0.out]
lemma tilted_const (μ : Measure α) [IsProbabilityMeasure μ] (c : ℝ) :
μ.tilted (fun _ ↦ c) = μ := by simp
@[simp]
lemma tilted_zero' (μ : Measure α) : μ.tilted 0 = (μ Set.univ)⁻¹ • μ := by
change μ.tilted (fun _ ↦ 0) = (μ Set.univ)⁻¹ • μ
simp
lemma tilted_zero (μ : Measure α) [IsProbabilityMeasure μ] : μ.tilted 0 = μ := by simp
lemma tilted_congr {g : α → ℝ} (hfg : f =ᵐ[μ] g) :
μ.tilted f = μ.tilted g := by
have h_int_eq : ∫ x, exp (f x) ∂μ = ∫ x, exp (g x) ∂μ := by
refine integral_congr_ae ?_
filter_upwards [hfg] with x hx
rw [hx]
refine withDensity_congr_ae ?_
filter_upwards [hfg] with x hx
rw [h_int_eq, hx]
lemma tilted_eq_withDensity_nnreal (μ : Measure α) (f : α → ℝ) :
μ.tilted f = μ.withDensity (fun x ↦ ((↑) : ℝ≥0 → ℝ≥0∞)
(⟨exp (f x) / ∫ x, exp (f x) ∂μ, by positivity⟩ : ℝ≥0)) := by
rw [Measure.tilted]
congr with x
rw [ENNReal.ofReal_eq_coe_nnreal]
lemma tilted_apply' (μ : Measure α) (f : α → ℝ) {s : Set α} (hs : MeasurableSet s) :
μ.tilted f s = ∫⁻ a in s, ENNReal.ofReal (exp (f a) / ∫ x, exp (f x) ∂μ) ∂μ := by
rw [Measure.tilted, withDensity_apply _ hs]
lemma tilted_apply (μ : Measure α) [SFinite μ] (f : α → ℝ) (s : Set α) :
μ.tilted f s = ∫⁻ a in s, ENNReal.ofReal (exp (f a) / ∫ x, exp (f x) ∂μ) ∂μ := by
rw [Measure.tilted, withDensity_apply' _ s]
lemma tilted_apply_eq_ofReal_integral' {s : Set α} (f : α → ℝ) (hs : MeasurableSet s) :
μ.tilted f s = ENNReal.ofReal (∫ a in s, exp (f a) / ∫ x, exp (f x) ∂μ ∂μ) := by
by_cases hf : Integrable (fun x ↦ exp (f x)) μ
· rw [tilted_apply' _ _ hs, ← ofReal_integral_eq_lintegral_ofReal]
· exact hf.integrableOn.div_const _
· exact ae_of_all _ (fun _ ↦ by positivity)
· simp only [hf, not_false_eq_true, tilted_of_not_integrable, Measure.coe_zero,
Pi.zero_apply, integral_undef hf, div_zero, integral_zero, ENNReal.ofReal_zero]
lemma tilted_apply_eq_ofReal_integral [SFinite μ] (f : α → ℝ) (s : Set α) :
μ.tilted f s = ENNReal.ofReal (∫ a in s, exp (f a) / ∫ x, exp (f x) ∂μ ∂μ) := by
by_cases hf : Integrable (fun x ↦ exp (f x)) μ
· rw [tilted_apply _ _, ← ofReal_integral_eq_lintegral_ofReal]
· exact hf.integrableOn.div_const _
· exact ae_of_all _ (fun _ ↦ by positivity)
· simp [tilted_of_not_integrable hf, integral_undef hf]
lemma isProbabilityMeasure_tilted [NeZero μ] (hf : Integrable (fun x ↦ exp (f x)) μ) :
IsProbabilityMeasure (μ.tilted f) := by
constructor
simp_rw [tilted_apply' _ _ MeasurableSet.univ, setLIntegral_univ,
ENNReal.ofReal_div_of_pos (integral_exp_pos hf), div_eq_mul_inv]
rw [lintegral_mul_const'' _ hf.1.aemeasurable.ennreal_ofReal,
← ofReal_integral_eq_lintegral_ofReal hf (ae_of_all _ fun _ ↦ (exp_pos _).le),
ENNReal.mul_inv_cancel]
· simp only [ne_eq, ENNReal.ofReal_eq_zero, not_le]
exact integral_exp_pos hf
· simp
instance isZeroOrProbabilityMeasure_tilted : IsZeroOrProbabilityMeasure (μ.tilted f) := by
rcases eq_zero_or_neZero μ with hμ | hμ
· simp only [hμ, tilted_zero_measure]
infer_instance
by_cases hf : Integrable (fun x ↦ exp (f x)) μ
· have := isProbabilityMeasure_tilted hf
infer_instance
· simp only [hf, not_false_eq_true, tilted_of_not_integrable]
infer_instance
section lintegral
lemma setLIntegral_tilted' (f : α → ℝ) (g : α → ℝ≥0∞) {s : Set α} (hs : MeasurableSet s) :
∫⁻ x in s, g x ∂(μ.tilted f)
= ∫⁻ x in s, ENNReal.ofReal (exp (f x) / ∫ x, exp (f x) ∂μ) * g x ∂μ := by
by_cases hf : AEMeasurable f μ
· rw [Measure.tilted, setLIntegral_withDensity_eq_setLIntegral_mul_non_measurable₀]
· simp only [Pi.mul_apply]
· refine AEMeasurable.restrict ?_
exact ((measurable_exp.comp_aemeasurable hf).div_const _).ennreal_ofReal
· exact hs
· filter_upwards
simp only [ENNReal.ofReal_lt_top, implies_true]
· have hf' : ¬ Integrable (fun x ↦ exp (f x)) μ := by
exact fun h ↦ hf (aemeasurable_of_aemeasurable_exp h.1.aemeasurable)
simp only [hf, not_false_eq_true, tilted_of_not_aemeasurable, Measure.restrict_zero,
lintegral_zero_measure]
rw [integral_undef hf']
simp
lemma setLIntegral_tilted [SFinite μ] (f : α → ℝ) (g : α → ℝ≥0∞) (s : Set α) :
∫⁻ x in s, g x ∂(μ.tilted f)
= ∫⁻ x in s, ENNReal.ofReal (exp (f x) / ∫ x, exp (f x) ∂μ) * g x ∂μ := by
by_cases hf : AEMeasurable f μ
· rw [Measure.tilted, setLIntegral_withDensity_eq_setLIntegral_mul_non_measurable₀']
· simp only [Pi.mul_apply]
· refine AEMeasurable.restrict ?_
exact ((measurable_exp.comp_aemeasurable hf).div_const _).ennreal_ofReal
· filter_upwards
simp only [ENNReal.ofReal_lt_top, implies_true]
· have hf' : ¬ Integrable (fun x ↦ exp (f x)) μ := by
exact fun h ↦ hf (aemeasurable_of_aemeasurable_exp h.1.aemeasurable)
simp only [hf, not_false_eq_true, tilted_of_not_aemeasurable, Measure.restrict_zero,
lintegral_zero_measure]
rw [integral_undef hf']
simp
lemma lintegral_tilted (f : α → ℝ) (g : α → ℝ≥0∞) :
∫⁻ x, g x ∂(μ.tilted f)
= ∫⁻ x, ENNReal.ofReal (exp (f x) / ∫ x, exp (f x) ∂μ) * (g x) ∂μ := by
rw [← setLIntegral_univ, setLIntegral_tilted' f g MeasurableSet.univ, setLIntegral_univ]
end lintegral
section integral
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
lemma setIntegral_tilted' (f : α → ℝ) (g : α → E) {s : Set α} (hs : MeasurableSet s) :
∫ x in s, g x ∂(μ.tilted f) = ∫ x in s, (exp (f x) / ∫ x, exp (f x) ∂μ) • (g x) ∂μ := by
by_cases hf : AEMeasurable f μ
· rw [tilted_eq_withDensity_nnreal, setIntegral_withDensity_eq_setIntegral_smul₀ _ _ hs]
· congr
· suffices AEMeasurable (fun x ↦ exp (f x) / ∫ x, exp (f x) ∂μ) μ by
rw [← aemeasurable_coe_nnreal_real_iff]
refine AEMeasurable.restrict ?_
simpa only [NNReal.coe_mk]
exact (measurable_exp.comp_aemeasurable hf).div_const _
· have hf' : ¬ Integrable (fun x ↦ exp (f x)) μ := by
exact fun h ↦ hf (aemeasurable_of_aemeasurable_exp h.1.aemeasurable)
simp only [hf, not_false_eq_true, tilted_of_not_aemeasurable, Measure.restrict_zero,
integral_zero_measure]
rw [integral_undef hf']
simp
lemma setIntegral_tilted [SFinite μ] (f : α → ℝ) (g : α → E) (s : Set α) :
∫ x in s, g x ∂(μ.tilted f) = ∫ x in s, (exp (f x) / ∫ x, exp (f x) ∂μ) • (g x) ∂μ := by
by_cases hf : AEMeasurable f μ
· rw [tilted_eq_withDensity_nnreal, setIntegral_withDensity_eq_setIntegral_smul₀']
· congr
· suffices AEMeasurable (fun x ↦ exp (f x) / ∫ x, exp (f x) ∂μ) μ by
rw [← aemeasurable_coe_nnreal_real_iff]
| refine AEMeasurable.restrict ?_
simpa only [NNReal.coe_mk]
exact (measurable_exp.comp_aemeasurable hf).div_const _
· have hf' : ¬ Integrable (fun x ↦ exp (f x)) μ := by
exact fun h ↦ hf (aemeasurable_of_aemeasurable_exp h.1.aemeasurable)
simp only [hf, not_false_eq_true, tilted_of_not_aemeasurable, Measure.restrict_zero,
integral_zero_measure]
rw [integral_undef hf']
simp
lemma integral_tilted (f : α → ℝ) (g : α → E) :
∫ x, g x ∂(μ.tilted f) = ∫ x, (exp (f x) / ∫ x, exp (f x) ∂μ) • (g x) ∂μ := by
rw [← setIntegral_univ, setIntegral_tilted' f g MeasurableSet.univ, setIntegral_univ]
end integral
| Mathlib/MeasureTheory/Measure/Tilted.lean | 216 | 231 |
/-
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, Johan Commelin
-/
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.Data.Set.Finite.Lemmas
import Mathlib.RingTheory.Coprime.Lemmas
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.SetTheory.Cardinal.Order
/-!
# Theory of univariate polynomials
We define the multiset of roots of a polynomial, and prove basic results about it.
## Main definitions
* `Polynomial.roots p`: The multiset containing all the roots of `p`, including their
multiplicities.
* `Polynomial.rootSet p E`: The set of distinct roots of `p` in an algebra `E`.
## Main statements
* `Polynomial.C_leadingCoeff_mul_prod_multiset_X_sub_C`: If a polynomial has as many roots as its
degree, it can be written as the product of its leading coefficient with `∏ (X - a)` where `a`
ranges through its roots.
-/
assert_not_exists Ideal
open Multiset Finset
noncomputable section
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R] [IsDomain R] {p q : R[X]}
section Roots
/-- `roots p` noncomputably gives a multiset containing all the roots of `p`,
including their multiplicities. -/
noncomputable def roots (p : R[X]) : Multiset R :=
haveI := Classical.decEq R
haveI := Classical.dec (p = 0)
if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h)
theorem roots_def [DecidableEq R] (p : R[X]) [Decidable (p = 0)] :
p.roots = if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h) := by
rename_i iR ip0
obtain rfl := Subsingleton.elim iR (Classical.decEq R)
obtain rfl := Subsingleton.elim ip0 (Classical.dec (p = 0))
rfl
@[simp]
theorem roots_zero : (0 : R[X]).roots = 0 :=
dif_pos rfl
theorem card_roots (hp0 : p ≠ 0) : (Multiset.card (roots p) : WithBot ℕ) ≤ degree p := by
classical
unfold roots
rw [dif_neg hp0]
exact (Classical.choose_spec (exists_multiset_roots hp0)).1
theorem card_roots' (p : R[X]) : Multiset.card p.roots ≤ natDegree p := by
by_cases hp0 : p = 0
· simp [hp0]
exact WithBot.coe_le_coe.1 (le_trans (card_roots hp0) (le_of_eq <| degree_eq_natDegree hp0))
theorem card_roots_sub_C {p : R[X]} {a : R} (hp0 : 0 < degree p) :
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree p :=
calc
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree (p - C a) :=
card_roots <| mt sub_eq_zero.1 fun h => not_le_of_gt hp0 <| h.symm ▸ degree_C_le
_ = degree p := by rw [sub_eq_add_neg, ← C_neg]; exact degree_add_C hp0
theorem card_roots_sub_C' {p : R[X]} {a : R} (hp0 : 0 < degree p) :
Multiset.card (p - C a).roots ≤ natDegree p :=
WithBot.coe_le_coe.1
(le_trans (card_roots_sub_C hp0)
(le_of_eq <| degree_eq_natDegree fun h => by simp_all [lt_irrefl]))
@[simp]
theorem count_roots [DecidableEq R] (p : R[X]) : p.roots.count a = rootMultiplicity a p := by
classical
by_cases hp : p = 0
· simp [hp]
rw [roots_def, dif_neg hp]
exact (Classical.choose_spec (exists_multiset_roots hp)).2 a
@[simp]
theorem mem_roots' : a ∈ p.roots ↔ p ≠ 0 ∧ IsRoot p a := by
classical
rw [← count_pos, count_roots p, rootMultiplicity_pos']
theorem mem_roots (hp : p ≠ 0) : a ∈ p.roots ↔ IsRoot p a :=
mem_roots'.trans <| and_iff_right hp
theorem ne_zero_of_mem_roots (h : a ∈ p.roots) : p ≠ 0 :=
(mem_roots'.1 h).1
theorem isRoot_of_mem_roots (h : a ∈ p.roots) : IsRoot p a :=
(mem_roots'.1 h).2
theorem mem_roots_map_of_injective [Semiring S] {p : S[X]} {f : S →+* R}
(hf : Function.Injective f) {x : R} (hp : p ≠ 0) : x ∈ (p.map f).roots ↔ p.eval₂ f x = 0 := by
rw [mem_roots ((Polynomial.map_ne_zero_iff hf).mpr hp), IsRoot, eval_map]
lemma mem_roots_iff_aeval_eq_zero {x : R} (w : p ≠ 0) : x ∈ roots p ↔ aeval x p = 0 := by
rw [aeval_def, ← mem_roots_map_of_injective (FaithfulSMul.algebraMap_injective _ _) w,
Algebra.id.map_eq_id, map_id]
theorem card_le_degree_of_subset_roots {p : R[X]} {Z : Finset R} (h : Z.val ⊆ p.roots) :
#Z ≤ p.natDegree :=
(Multiset.card_le_card (Finset.val_le_iff_val_subset.2 h)).trans (Polynomial.card_roots' p)
theorem finite_setOf_isRoot {p : R[X]} (hp : p ≠ 0) : Set.Finite { x | IsRoot p x } := by
classical
simpa only [← Finset.setOf_mem, Multiset.mem_toFinset, mem_roots hp]
using p.roots.toFinset.finite_toSet
theorem eq_zero_of_infinite_isRoot (p : R[X]) (h : Set.Infinite { x | IsRoot p x }) : p = 0 :=
not_imp_comm.mp finite_setOf_isRoot h
theorem exists_max_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x ≤ x₀ :=
Set.exists_upper_bound_image _ _ <| finite_setOf_isRoot hp
theorem exists_min_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x₀ ≤ x :=
Set.exists_lower_bound_image _ _ <| finite_setOf_isRoot hp
theorem eq_of_infinite_eval_eq (p q : R[X]) (h : Set.Infinite { x | eval x p = eval x q }) :
p = q := by
rw [← sub_eq_zero]
apply eq_zero_of_infinite_isRoot
simpa only [IsRoot, eval_sub, sub_eq_zero]
theorem roots_mul {p q : R[X]} (hpq : p * q ≠ 0) : (p * q).roots = p.roots + q.roots := by
classical
exact Multiset.ext.mpr fun r => by
rw [count_add, count_roots, count_roots, count_roots, rootMultiplicity_mul hpq]
theorem roots.le_of_dvd (h : q ≠ 0) : p ∣ q → roots p ≤ roots q := by
rintro ⟨k, rfl⟩
exact Multiset.le_iff_exists_add.mpr ⟨k.roots, roots_mul h⟩
theorem mem_roots_sub_C' {p : R[X]} {a x : R} : x ∈ (p - C a).roots ↔ p ≠ C a ∧ p.eval x = a := by
rw [mem_roots', IsRoot.def, sub_ne_zero, eval_sub, sub_eq_zero, eval_C]
theorem mem_roots_sub_C {p : R[X]} {a x : R} (hp0 : 0 < degree p) :
x ∈ (p - C a).roots ↔ p.eval x = a :=
mem_roots_sub_C'.trans <| and_iff_right fun hp => hp0.not_le <| hp.symm ▸ degree_C_le
@[simp]
theorem roots_X_sub_C (r : R) : roots (X - C r) = {r} := by
classical
ext s
rw [count_roots, rootMultiplicity_X_sub_C, count_singleton]
@[simp]
theorem roots_X_add_C (r : R) : roots (X + C r) = {-r} := by simpa using roots_X_sub_C (-r)
@[simp]
theorem roots_X : roots (X : R[X]) = {0} := by rw [← roots_X_sub_C, C_0, sub_zero]
@[simp]
theorem roots_C (x : R) : (C x).roots = 0 := by
classical exact
if H : x = 0 then by rw [H, C_0, roots_zero]
else
Multiset.ext.mpr fun r => (by
rw [count_roots, count_zero, rootMultiplicity_eq_zero (not_isRoot_C _ _ H)])
@[simp]
theorem roots_one : (1 : R[X]).roots = ∅ :=
roots_C 1
@[simp]
theorem roots_C_mul (p : R[X]) (ha : a ≠ 0) : (C a * p).roots = p.roots := by
by_cases hp : p = 0 <;>
simp only [roots_mul, *, Ne, mul_eq_zero, C_eq_zero, or_self_iff, not_false_iff, roots_C,
zero_add, mul_zero]
@[simp]
theorem roots_smul_nonzero (p : R[X]) (ha : a ≠ 0) : (a • p).roots = p.roots := by
rw [smul_eq_C_mul, roots_C_mul _ ha]
@[simp]
| lemma roots_neg (p : R[X]) : (-p).roots = p.roots := by
rw [← neg_one_smul R p, roots_smul_nonzero p (neg_ne_zero.mpr one_ne_zero)]
@[simp]
theorem roots_C_mul_X_sub_C_of_IsUnit (b : R) (a : Rˣ) : (C (a : R) * X - C b).roots =
{a⁻¹ * b} := by
| Mathlib/Algebra/Polynomial/Roots.lean | 197 | 202 |
/-
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.Probability.Kernel.Defs
/-!
# Basic kernels
This file contains basic results about kernels in general and definitions of some particular
kernels.
## Main definitions
* `ProbabilityTheory.Kernel.deterministic (f : α → β) (hf : Measurable f)`:
kernel `a ↦ Measure.dirac (f a)`.
* `ProbabilityTheory.Kernel.id`: the identity kernel, deterministic kernel for
the identity function.
* `ProbabilityTheory.Kernel.copy α`: the deterministic kernel that maps `x : α` to
the Dirac measure at `(x, x) : α × α`.
* `ProbabilityTheory.Kernel.discard α`: the Markov kernel to the type `Unit`.
* `ProbabilityTheory.Kernel.swap α β`: the deterministic kernel that maps `(x, y)` to
the Dirac measure at `(y, x)`.
* `ProbabilityTheory.Kernel.const α (μβ : measure β)`: constant kernel `a ↦ μβ`.
* `ProbabilityTheory.Kernel.restrict κ (hs : MeasurableSet s)`: kernel for which the image of
`a : α` is `(κ a).restrict s`.
Integral: `∫⁻ b, f b ∂(κ.restrict hs a) = ∫⁻ b in s, f b ∂(κ a)`
* `ProbabilityTheory.Kernel.comapRight`: Kernel with value `(κ a).comap f`,
for a measurable embedding `f`. That is, for a measurable set `t : Set β`,
`ProbabilityTheory.Kernel.comapRight κ hf a t = κ a (f '' t)`
* `ProbabilityTheory.Kernel.piecewise (hs : MeasurableSet s) κ η`: the kernel equal to `κ`
on the measurable set `s` and to `η` on its complement.
## Main statements
-/
assert_not_exists MeasureTheory.integral
open MeasureTheory
open scoped ENNReal
namespace ProbabilityTheory
variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} {κ : Kernel α β}
namespace Kernel
section Deterministic
/-- Kernel which to `a` associates the dirac measure at `f a`. This is a Markov kernel. -/
noncomputable def deterministic (f : α → β) (hf : Measurable f) : Kernel α β where
toFun a := Measure.dirac (f a)
measurable' := by
refine Measure.measurable_of_measurable_coe _ fun s hs => ?_
simp_rw [Measure.dirac_apply' _ hs]
exact measurable_one.indicator (hf hs)
theorem deterministic_apply {f : α → β} (hf : Measurable f) (a : α) :
deterministic f hf a = Measure.dirac (f a) :=
rfl
theorem deterministic_apply' {f : α → β} (hf : Measurable f) (a : α) {s : Set β}
(hs : MeasurableSet s) : deterministic f hf a s = s.indicator (fun _ => 1) (f a) := by
rw [deterministic]
change Measure.dirac (f a) s = s.indicator 1 (f a)
simp_rw [Measure.dirac_apply' _ hs]
/-- Because of the measurability field in `Kernel.deterministic`, `rw [h]` will not rewrite
`deterministic f hf` to `deterministic g ⋯`. Instead one can do `rw [deterministic_congr h]`. -/
theorem deterministic_congr {f g : α → β} {hf : Measurable f} (h : f = g) :
deterministic f hf = deterministic g (h ▸ hf) := by
conv_lhs => enter [1]; rw [h]
instance isMarkovKernel_deterministic {f : α → β} (hf : Measurable f) :
IsMarkovKernel (deterministic f hf) :=
⟨fun a => by rw [deterministic_apply hf]; infer_instance⟩
theorem lintegral_deterministic' {f : β → ℝ≥0∞} {g : α → β} {a : α} (hg : Measurable g)
(hf : Measurable f) : ∫⁻ x, f x ∂deterministic g hg a = f (g a) := by
rw [deterministic_apply, lintegral_dirac' _ hf]
@[simp]
theorem lintegral_deterministic {f : β → ℝ≥0∞} {g : α → β} {a : α} (hg : Measurable g)
[MeasurableSingletonClass β] : ∫⁻ x, f x ∂deterministic g hg a = f (g a) := by
rw [deterministic_apply, lintegral_dirac (g a) f]
theorem setLIntegral_deterministic' {f : β → ℝ≥0∞} {g : α → β} {a : α} (hg : Measurable g)
(hf : Measurable f) {s : Set β} (hs : MeasurableSet s) [Decidable (g a ∈ s)] :
∫⁻ x in s, f x ∂deterministic g hg a = if g a ∈ s then f (g a) else 0 := by
rw [deterministic_apply, setLIntegral_dirac' hf hs]
@[simp]
theorem setLIntegral_deterministic {f : β → ℝ≥0∞} {g : α → β} {a : α} (hg : Measurable g)
[MeasurableSingletonClass β] (s : Set β) [Decidable (g a ∈ s)] :
∫⁻ x in s, f x ∂deterministic g hg a = if g a ∈ s then f (g a) else 0 := by
rw [deterministic_apply, setLIntegral_dirac f s]
end Deterministic
section Id
/-- The identity kernel, that maps `x : α` to the Dirac measure at `x`. -/
protected noncomputable
def id : Kernel α α := Kernel.deterministic id measurable_id
instance : IsMarkovKernel (Kernel.id : Kernel α α) := by rw [Kernel.id]; infer_instance
lemma id_apply (a : α) : Kernel.id a = Measure.dirac a := by
rw [Kernel.id, deterministic_apply, id_def]
lemma lintegral_id' {f : α → ℝ≥0∞} (hf : Measurable f) (a : α) :
∫⁻ a, f a ∂(@Kernel.id α mα a) = f a := by
rw [id_apply, lintegral_dirac' _ hf]
lemma lintegral_id [MeasurableSingletonClass α] {f : α → ℝ≥0∞} (a : α) :
∫⁻ a, f a ∂(@Kernel.id α mα a) = f a := by
rw [id_apply, lintegral_dirac]
end Id
section Copy
/-- The deterministic kernel that maps `x : α` to the Dirac measure at `(x, x) : α × α`. -/
noncomputable
def copy (α : Type*) [MeasurableSpace α] : Kernel α (α × α) :=
Kernel.deterministic (fun x ↦ (x, x)) (measurable_id.prod measurable_id)
instance : IsMarkovKernel (copy α) := by rw [copy]; infer_instance
lemma copy_apply (a : α) : copy α a = Measure.dirac (a, a) := by simp [copy, deterministic_apply]
end Copy
section Discard
/-- The Markov kernel to the `Unit` type. -/
noncomputable
def discard (α : Type*) [MeasurableSpace α] : Kernel α Unit :=
Kernel.deterministic (fun _ ↦ ()) measurable_const
instance : IsMarkovKernel (discard α) := by rw [discard]; infer_instance
@[simp]
lemma discard_apply (a : α) : discard α a = Measure.dirac () := deterministic_apply _ _
end Discard
section Swap
/-- The deterministic kernel that maps `(x, y)` to the Dirac measure at `(y, x)`. -/
noncomputable
def swap (α β : Type*) [MeasurableSpace α] [MeasurableSpace β] : Kernel (α × β) (β × α) :=
Kernel.deterministic Prod.swap measurable_swap
instance : IsMarkovKernel (swap α β) := by rw [swap]; infer_instance
/-- See `swap_apply'` for a fully applied version of this lemma. -/
lemma swap_apply (ab : α × β) : swap α β ab = Measure.dirac ab.swap := by
rw [swap, deterministic_apply]
/-- See `swap_apply` for a partially applied version of this lemma. -/
lemma swap_apply' (ab : α × β) {s : Set (β × α)} (hs : MeasurableSet s) :
swap α β ab s = s.indicator 1 ab.swap := by
rw [swap_apply, Measure.dirac_apply' _ hs]
end Swap
section Const
/-- Constant kernel, which always returns the same measure. -/
def const (α : Type*) {β : Type*} [MeasurableSpace α] {_ : MeasurableSpace β} (μβ : Measure β) :
Kernel α β where
toFun _ := μβ
measurable' := measurable_const
@[simp]
theorem const_apply (μβ : Measure β) (a : α) : const α μβ a = μβ :=
rfl
@[simp]
lemma const_zero : const α (0 : Measure β) = 0 := by
ext x s _; simp [const_apply]
lemma const_add (β : Type*) [MeasurableSpace β] (μ ν : Measure α) :
const β (μ + ν) = const β μ + const β ν := by ext; simp
lemma sum_const [Countable ι] (μ : ι → Measure β) :
Kernel.sum (fun n ↦ const α (μ n)) = const α (Measure.sum μ) := rfl
instance const.instIsFiniteKernel {μβ : Measure β} [IsFiniteMeasure μβ] :
IsFiniteKernel (const α μβ) :=
⟨⟨μβ Set.univ, measure_lt_top _ _, fun _ => le_rfl⟩⟩
instance const.instIsSFiniteKernel {μβ : Measure β} [SFinite μβ] :
IsSFiniteKernel (const α μβ) :=
⟨fun n ↦ const α (sfiniteSeq μβ n), fun n ↦ inferInstance, by rw [sum_const, sum_sfiniteSeq]⟩
instance const.instIsMarkovKernel {μβ : Measure β} [hμβ : IsProbabilityMeasure μβ] :
IsMarkovKernel (const α μβ) :=
⟨fun _ => hμβ⟩
instance const.instIsZeroOrMarkovKernel {μβ : Measure β} [hμβ : IsZeroOrProbabilityMeasure μβ] :
IsZeroOrMarkovKernel (const α μβ) := by
rcases eq_zero_or_isProbabilityMeasure μβ with rfl | h
· simp only [const_zero]
infer_instance
· infer_instance
lemma isSFiniteKernel_const [Nonempty α] {μβ : Measure β} :
IsSFiniteKernel (const α μβ) ↔ SFinite μβ :=
⟨fun h ↦ h.sFinite (Classical.arbitrary α), fun _ ↦ inferInstance⟩
@[simp]
theorem lintegral_const {f : β → ℝ≥0∞} {μ : Measure β} {a : α} :
∫⁻ x, f x ∂const α μ a = ∫⁻ x, f x ∂μ := by rw [const_apply]
@[simp]
theorem setLIntegral_const {f : β → ℝ≥0∞} {μ : Measure β} {a : α} {s : Set β} :
∫⁻ x in s, f x ∂const α μ a = ∫⁻ x in s, f x ∂μ := by rw [const_apply]
end Const
/-- In a countable space with measurable singletons, every function `α → MeasureTheory.Measure β`
defines a kernel. -/
def ofFunOfCountable [MeasurableSpace α] {_ : MeasurableSpace β} [Countable α]
[MeasurableSingletonClass α] (f : α → Measure β) : Kernel α β where
toFun := f
measurable' := measurable_of_countable f
section Restrict
variable {s t : Set β}
/-- Kernel given by the restriction of the measures in the image of a kernel to a set. -/
protected noncomputable def restrict (κ : Kernel α β) (hs : MeasurableSet s) : Kernel α β where
toFun a := (κ a).restrict s
measurable' := by
refine Measure.measurable_of_measurable_coe _ fun t ht => ?_
simp_rw [Measure.restrict_apply ht]
exact Kernel.measurable_coe κ (ht.inter hs)
theorem restrict_apply (κ : Kernel α β) (hs : MeasurableSet s) (a : α) :
κ.restrict hs a = (κ a).restrict s :=
rfl
theorem restrict_apply' (κ : Kernel α β) (hs : MeasurableSet s) (a : α) (ht : MeasurableSet t) :
κ.restrict hs a t = (κ a) (t ∩ s) := by
rw [restrict_apply κ hs a, Measure.restrict_apply ht]
@[simp]
theorem restrict_univ : κ.restrict MeasurableSet.univ = κ := by
ext1 a
rw [Kernel.restrict_apply, Measure.restrict_univ]
@[simp]
theorem lintegral_restrict (κ : Kernel α β) (hs : MeasurableSet s) (a : α) (f : β → ℝ≥0∞) :
∫⁻ b, f b ∂κ.restrict hs a = ∫⁻ b in s, f b ∂κ a := by rw [restrict_apply]
@[simp]
theorem setLIntegral_restrict (κ : Kernel α β) (hs : MeasurableSet s) (a : α) (f : β → ℝ≥0∞)
(t : Set β) : ∫⁻ b in t, f b ∂κ.restrict hs a = ∫⁻ b in t ∩ s, f b ∂κ a := by
rw [restrict_apply, Measure.restrict_restrict' hs]
instance IsFiniteKernel.restrict (κ : Kernel α β) [IsFiniteKernel κ] (hs : MeasurableSet s) :
IsFiniteKernel (κ.restrict hs) := by
refine ⟨⟨IsFiniteKernel.bound κ, IsFiniteKernel.bound_lt_top κ, fun a => ?_⟩⟩
rw [restrict_apply' κ hs a MeasurableSet.univ]
exact measure_le_bound κ a _
instance IsSFiniteKernel.restrict (κ : Kernel α β) [IsSFiniteKernel κ] (hs : MeasurableSet s) :
IsSFiniteKernel (κ.restrict hs) := by
refine ⟨⟨fun n => Kernel.restrict (seq κ n) hs, inferInstance, ?_⟩⟩
ext1 a
simp_rw [sum_apply, restrict_apply, ← Measure.restrict_sum _ hs, ← sum_apply, kernel_sum_seq]
end Restrict
section ComapRight
variable {γ : Type*} {mγ : MeasurableSpace γ} {f : γ → β}
/-- Kernel with value `(κ a).comap f`, for a measurable embedding `f`. That is, for a measurable set
`t : Set β`, `ProbabilityTheory.Kernel.comapRight κ hf a t = κ a (f '' t)`. -/
noncomputable def comapRight (κ : Kernel α β) (hf : MeasurableEmbedding f) : Kernel α γ where
toFun a := (κ a).comap f
measurable' := by
refine Measure.measurable_measure.mpr fun t ht => ?_
have : (fun a => Measure.comap f (κ a) t) = fun a => κ a (f '' t) := by
ext1 a
rw [Measure.comap_apply _ hf.injective _ _ ht]
exact fun s' hs' ↦ hf.measurableSet_image.mpr hs'
rw [this]
exact Kernel.measurable_coe _ (hf.measurableSet_image.mpr ht)
theorem comapRight_apply (κ : Kernel α β) (hf : MeasurableEmbedding f) (a : α) :
comapRight κ hf a = Measure.comap f (κ a) :=
rfl
theorem comapRight_apply' (κ : Kernel α β) (hf : MeasurableEmbedding f) (a : α) {t : Set γ}
(ht : MeasurableSet t) : comapRight κ hf a t = κ a (f '' t) := by
rw [comapRight_apply,
Measure.comap_apply _ hf.injective (fun s => hf.measurableSet_image.mpr) _ ht]
@[simp]
lemma comapRight_id (κ : Kernel α β) : comapRight κ MeasurableEmbedding.id = κ := by
ext _ _ hs; rw [comapRight_apply' _ _ _ hs]; simp
theorem IsMarkovKernel.comapRight (κ : Kernel α β) (hf : MeasurableEmbedding f)
(hκ : ∀ a, κ a (Set.range f) = 1) : IsMarkovKernel (comapRight κ hf) := by
refine ⟨fun a => ⟨?_⟩⟩
rw [comapRight_apply' κ hf a MeasurableSet.univ]
simp only [Set.image_univ, Subtype.range_coe_subtype, Set.setOf_mem_eq]
exact hκ a
instance IsFiniteKernel.comapRight (κ : Kernel α β) [IsFiniteKernel κ]
(hf : MeasurableEmbedding f) : IsFiniteKernel (comapRight κ hf) := by
refine ⟨⟨IsFiniteKernel.bound κ, IsFiniteKernel.bound_lt_top κ, fun a => ?_⟩⟩
rw [comapRight_apply' κ hf a .univ]
exact measure_le_bound κ a _
protected instance IsSFiniteKernel.comapRight (κ : Kernel α β) [IsSFiniteKernel κ]
(hf : MeasurableEmbedding f) : IsSFiniteKernel (comapRight κ hf) := by
refine ⟨⟨fun n => comapRight (seq κ n) hf, inferInstance, ?_⟩⟩
ext1 a
rw [sum_apply]
simp_rw [comapRight_apply _ hf]
have :
(Measure.sum fun n => Measure.comap f (seq κ n a)) =
Measure.comap f (Measure.sum fun n => seq κ n a) := by
ext1 t ht
rw [Measure.comap_apply _ hf.injective (fun s' => hf.measurableSet_image.mpr) _ ht,
Measure.sum_apply _ ht, Measure.sum_apply _ (hf.measurableSet_image.mpr ht)]
congr with n : 1
rw [Measure.comap_apply _ hf.injective (fun s' => hf.measurableSet_image.mpr) _ ht]
rw [this, measure_sum_seq]
end ComapRight
section Piecewise
variable {η : Kernel α β} {s : Set α} {hs : MeasurableSet s} [DecidablePred (· ∈ s)]
/-- `ProbabilityTheory.Kernel.piecewise hs κ η` is the kernel equal to `κ` on the measurable set `s`
and to `η` on its complement. -/
def piecewise (hs : MeasurableSet s) (κ η : Kernel α β) : Kernel α β where
toFun a := if a ∈ s then κ a else η a
measurable' := κ.measurable.piecewise hs η.measurable
theorem piecewise_apply (a : α) : piecewise hs κ η a = if a ∈ s then κ a else η a :=
rfl
theorem piecewise_apply' (a : α) (t : Set β) :
piecewise hs κ η a t = if a ∈ s then κ a t else η a t := by
rw [piecewise_apply]; split_ifs <;> rfl
instance IsMarkovKernel.piecewise [IsMarkovKernel κ] [IsMarkovKernel η] :
IsMarkovKernel (piecewise hs κ η) := by
refine ⟨fun a => ⟨?_⟩⟩
rw [piecewise_apply', measure_univ, measure_univ, ite_self]
instance IsFiniteKernel.piecewise [IsFiniteKernel κ] [IsFiniteKernel η] :
IsFiniteKernel (piecewise hs κ η) := by
refine ⟨⟨max (IsFiniteKernel.bound κ) (IsFiniteKernel.bound η), ?_, fun a => ?_⟩⟩
· exact max_lt (IsFiniteKernel.bound_lt_top κ) (IsFiniteKernel.bound_lt_top η)
rw [piecewise_apply']
exact (ite_le_sup _ _ _).trans (sup_le_sup (measure_le_bound _ _ _) (measure_le_bound _ _ _))
protected instance IsSFiniteKernel.piecewise [IsSFiniteKernel κ] [IsSFiniteKernel η] :
IsSFiniteKernel (piecewise hs κ η) := by
refine ⟨⟨fun n => piecewise hs (seq κ n) (seq η n), inferInstance, ?_⟩⟩
ext1 a
simp_rw [sum_apply, Kernel.piecewise_apply]
split_ifs <;> exact (measure_sum_seq _ a).symm
theorem lintegral_piecewise (a : α) (g : β → ℝ≥0∞) :
∫⁻ b, g b ∂piecewise hs κ η a = if a ∈ s then ∫⁻ b, g b ∂κ a else ∫⁻ b, g b ∂η a := by
simp_rw [piecewise_apply]; split_ifs <;> rfl
theorem setLIntegral_piecewise (a : α) (g : β → ℝ≥0∞) (t : Set β) :
∫⁻ b in t, g b ∂piecewise hs κ η a =
if a ∈ s then ∫⁻ b in t, g b ∂κ a else ∫⁻ b in t, g b ∂η a := by
simp_rw [piecewise_apply]; split_ifs <;> rfl
end Piecewise
lemma exists_ae_eq_isMarkovKernel {μ : Measure α}
(h : ∀ᵐ a ∂μ, IsProbabilityMeasure (κ a)) (h' : μ ≠ 0) :
∃ (η : Kernel α β), (κ =ᵐ[μ] η) ∧ IsMarkovKernel η := by
classical
obtain ⟨s, s_meas, μs, hs⟩ : ∃ s, MeasurableSet s ∧ μ s = 0
∧ ∀ a ∉ s, IsProbabilityMeasure (κ a) := by
refine ⟨toMeasurable μ {a | ¬ IsProbabilityMeasure (κ a)}, measurableSet_toMeasurable _ _,
by simpa [measure_toMeasurable] using h, ?_⟩
intro a ha
contrapose! ha
exact subset_toMeasurable _ _ ha
obtain ⟨a, ha⟩ : sᶜ.Nonempty := by
contrapose! h'; simpa [μs, h'] using measure_univ_le_add_compl s (μ := μ)
refine ⟨Kernel.piecewise s_meas (Kernel.const _ (κ a)) κ, ?_, ?_⟩
· filter_upwards [measure_zero_iff_ae_nmem.1 μs] with b hb
simp [hb, piecewise]
· refine ⟨fun b ↦ ?_⟩
by_cases hb : b ∈ s
· simpa [hb, piecewise] using hs _ ha
· simpa [hb, piecewise] using hs _ hb
end Kernel
end ProbabilityTheory
| Mathlib/Probability/Kernel/Basic.lean | 524 | 526 | |
/-
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.NAry
import Mathlib.Data.Finset.Slice
import Mathlib.Data.Set.Sups
/-!
# Set family operations
This file defines a few binary operations on `Finset α` for use in set family combinatorics.
## Main declarations
* `Finset.sups s t`: Finset of elements of the form `a ⊔ b` where `a ∈ s`, `b ∈ t`.
* `Finset.infs s t`: Finset of elements of the form `a ⊓ b` where `a ∈ s`, `b ∈ t`.
* `Finset.disjSups s t`: Finset of elements of the form `a ⊔ b` where `a ∈ s`, `b ∈ t` and `a`
and `b` are disjoint.
* `Finset.diffs`: Finset of elements of the form `a \ b` where `a ∈ s`, `b ∈ t`.
* `Finset.compls`: Finset of elements of the form `aᶜ` where `a ∈ s`.
## Notation
We define the following notation in locale `FinsetFamily`:
* `s ⊻ t` for `Finset.sups`
* `s ⊼ t` for `Finset.infs`
* `s ○ t` for `Finset.disjSups s t`
* `s \\ t` for `Finset.diffs`
* `sᶜˢ` for `Finset.compls`
## References
[B. Bollobás, *Combinatorics*][bollobas1986]
-/
open Function
open SetFamily
variable {F α β : Type*}
namespace Finset
section Sups
variable [DecidableEq α] [DecidableEq β]
variable [SemilatticeSup α] [SemilatticeSup β] [FunLike F α β] [SupHomClass F α β]
variable (s s₁ s₂ t t₁ t₂ u v : Finset α)
/-- `s ⊻ t` is the finset of elements of the form `a ⊔ b` where `a ∈ s`, `b ∈ t`. -/
protected def hasSups : HasSups (Finset α) :=
⟨image₂ (· ⊔ ·)⟩
scoped[FinsetFamily] attribute [instance] Finset.hasSups
open FinsetFamily
variable {s t} {a b c : α}
@[simp]
theorem mem_sups : c ∈ s ⊻ t ↔ ∃ a ∈ s, ∃ b ∈ t, a ⊔ b = c := by simp [(· ⊻ ·)]
variable (s t)
@[simp, norm_cast]
theorem coe_sups : (↑(s ⊻ t) : Set α) = ↑s ⊻ ↑t :=
coe_image₂ _ _ _
theorem card_sups_le : #(s ⊻ t) ≤ #s * #t := card_image₂_le _ _ _
theorem card_sups_iff : #(s ⊻ t) = #s * #t ↔ (s ×ˢ t : Set (α × α)).InjOn fun x => x.1 ⊔ x.2 :=
card_image₂_iff
variable {s s₁ s₂ t t₁ t₂ u}
theorem sup_mem_sups : a ∈ s → b ∈ t → a ⊔ b ∈ s ⊻ t :=
mem_image₂_of_mem
theorem sups_subset : s₁ ⊆ s₂ → t₁ ⊆ t₂ → s₁ ⊻ t₁ ⊆ s₂ ⊻ t₂ :=
image₂_subset
theorem sups_subset_left : t₁ ⊆ t₂ → s ⊻ t₁ ⊆ s ⊻ t₂ :=
image₂_subset_left
theorem sups_subset_right : s₁ ⊆ s₂ → s₁ ⊻ t ⊆ s₂ ⊻ t :=
image₂_subset_right
lemma image_subset_sups_left : b ∈ t → s.image (· ⊔ b) ⊆ s ⊻ t := image_subset_image₂_left
lemma image_subset_sups_right : a ∈ s → t.image (a ⊔ ·) ⊆ s ⊻ t := image_subset_image₂_right
theorem forall_sups_iff {p : α → Prop} : (∀ c ∈ s ⊻ t, p c) ↔ ∀ a ∈ s, ∀ b ∈ t, p (a ⊔ b) :=
forall_mem_image₂
@[simp]
theorem sups_subset_iff : s ⊻ t ⊆ u ↔ ∀ a ∈ s, ∀ b ∈ t, a ⊔ b ∈ u :=
image₂_subset_iff
@[simp]
theorem sups_nonempty : (s ⊻ t).Nonempty ↔ s.Nonempty ∧ t.Nonempty :=
image₂_nonempty_iff
@[aesop safe apply (rule_sets := [finsetNonempty])]
protected theorem Nonempty.sups : s.Nonempty → t.Nonempty → (s ⊻ t).Nonempty :=
Nonempty.image₂
theorem Nonempty.of_sups_left : (s ⊻ t).Nonempty → s.Nonempty :=
Nonempty.of_image₂_left
theorem Nonempty.of_sups_right : (s ⊻ t).Nonempty → t.Nonempty :=
Nonempty.of_image₂_right
@[simp]
theorem empty_sups : ∅ ⊻ t = ∅ :=
image₂_empty_left
@[simp]
theorem sups_empty : s ⊻ ∅ = ∅ :=
image₂_empty_right
@[simp]
theorem sups_eq_empty : s ⊻ t = ∅ ↔ s = ∅ ∨ t = ∅ :=
image₂_eq_empty_iff
@[simp] lemma singleton_sups : {a} ⊻ t = t.image (a ⊔ ·) := image₂_singleton_left
@[simp] lemma sups_singleton : s ⊻ {b} = s.image (· ⊔ b) := image₂_singleton_right
theorem singleton_sups_singleton : ({a} ⊻ {b} : Finset α) = {a ⊔ b} :=
image₂_singleton
theorem sups_union_left : (s₁ ∪ s₂) ⊻ t = s₁ ⊻ t ∪ s₂ ⊻ t :=
image₂_union_left
theorem sups_union_right : s ⊻ (t₁ ∪ t₂) = s ⊻ t₁ ∪ s ⊻ t₂ :=
image₂_union_right
theorem sups_inter_subset_left : (s₁ ∩ s₂) ⊻ t ⊆ s₁ ⊻ t ∩ s₂ ⊻ t :=
image₂_inter_subset_left
theorem sups_inter_subset_right : s ⊻ (t₁ ∩ t₂) ⊆ s ⊻ t₁ ∩ s ⊻ t₂ :=
image₂_inter_subset_right
theorem subset_sups {s t : Set α} :
↑u ⊆ s ⊻ t → ∃ s' t' : Finset α, ↑s' ⊆ s ∧ ↑t' ⊆ t ∧ u ⊆ s' ⊻ t' :=
subset_set_image₂
lemma image_sups (f : F) (s t : Finset α) : image f (s ⊻ t) = image f s ⊻ image f t :=
image_image₂_distrib <| map_sup f
lemma map_sups (f : F) (hf) (s t : Finset α) :
map ⟨f, hf⟩ (s ⊻ t) = map ⟨f, hf⟩ s ⊻ map ⟨f, hf⟩ t := by
simpa [map_eq_image] using image_sups f s t
lemma subset_sups_self : s ⊆ s ⊻ s := fun _a ha ↦ mem_sups.2 ⟨_, ha, _, ha, sup_idem _⟩
lemma sups_subset_self : s ⊻ s ⊆ s ↔ SupClosed (s : Set α) := sups_subset_iff
@[simp] lemma sups_eq_self : s ⊻ s = s ↔ SupClosed (s : Set α) := by simp [← coe_inj]
@[simp] lemma univ_sups_univ [Fintype α] : (univ : Finset α) ⊻ univ = univ := by simp
lemma filter_sups_le [DecidableLE α] (s t : Finset α) (a : α) :
{b ∈ s ⊻ t | b ≤ a} = {b ∈ s | b ≤ a} ⊻ {b ∈ t | b ≤ a} := by
simp only [← coe_inj, coe_filter, coe_sups, ← mem_coe, Set.sep_sups_le]
variable (s t u)
lemma biUnion_image_sup_left : s.biUnion (fun a ↦ t.image (a ⊔ ·)) = s ⊻ t := biUnion_image_left
lemma biUnion_image_sup_right : t.biUnion (fun b ↦ s.image (· ⊔ b)) = s ⊻ t := biUnion_image_right
theorem image_sup_product (s t : Finset α) : (s ×ˢ t).image (uncurry (· ⊔ ·)) = s ⊻ t :=
image_uncurry_product _ _ _
theorem sups_assoc : s ⊻ t ⊻ u = s ⊻ (t ⊻ u) := image₂_assoc sup_assoc
theorem sups_comm : s ⊻ t = t ⊻ s := image₂_comm sup_comm
theorem sups_left_comm : s ⊻ (t ⊻ u) = t ⊻ (s ⊻ u) :=
image₂_left_comm sup_left_comm
theorem sups_right_comm : s ⊻ t ⊻ u = s ⊻ u ⊻ t :=
image₂_right_comm sup_right_comm
theorem sups_sups_sups_comm : s ⊻ t ⊻ (u ⊻ v) = s ⊻ u ⊻ (t ⊻ v) :=
image₂_image₂_image₂_comm sup_sup_sup_comm
end Sups
section Infs
variable [DecidableEq α] [DecidableEq β]
variable [SemilatticeInf α] [SemilatticeInf β] [FunLike F α β] [InfHomClass F α β]
variable (s s₁ s₂ t t₁ t₂ u v : Finset α)
/-- `s ⊼ t` is the finset of elements of the form `a ⊓ b` where `a ∈ s`, `b ∈ t`. -/
protected def hasInfs : HasInfs (Finset α) :=
⟨image₂ (· ⊓ ·)⟩
scoped[FinsetFamily] attribute [instance] Finset.hasInfs
open FinsetFamily
variable {s t} {a b c : α}
@[simp]
theorem mem_infs : c ∈ s ⊼ t ↔ ∃ a ∈ s, ∃ b ∈ t, a ⊓ b = c := by simp [(· ⊼ ·)]
variable (s t)
@[simp, norm_cast]
theorem coe_infs : (↑(s ⊼ t) : Set α) = ↑s ⊼ ↑t :=
coe_image₂ _ _ _
theorem card_infs_le : #(s ⊼ t) ≤ #s * #t := card_image₂_le _ _ _
theorem card_infs_iff : #(s ⊼ t) = #s * #t ↔ (s ×ˢ t : Set (α × α)).InjOn fun x => x.1 ⊓ x.2 :=
card_image₂_iff
variable {s s₁ s₂ t t₁ t₂ u}
theorem inf_mem_infs : a ∈ s → b ∈ t → a ⊓ b ∈ s ⊼ t :=
mem_image₂_of_mem
theorem infs_subset : s₁ ⊆ s₂ → t₁ ⊆ t₂ → s₁ ⊼ t₁ ⊆ s₂ ⊼ t₂ :=
image₂_subset
theorem infs_subset_left : t₁ ⊆ t₂ → s ⊼ t₁ ⊆ s ⊼ t₂ :=
image₂_subset_left
theorem infs_subset_right : s₁ ⊆ s₂ → s₁ ⊼ t ⊆ s₂ ⊼ t :=
image₂_subset_right
lemma image_subset_infs_left : b ∈ t → s.image (· ⊓ b) ⊆ s ⊼ t := image_subset_image₂_left
lemma image_subset_infs_right : a ∈ s → t.image (a ⊓ ·) ⊆ s ⊼ t := image_subset_image₂_right
theorem forall_infs_iff {p : α → Prop} : (∀ c ∈ s ⊼ t, p c) ↔ ∀ a ∈ s, ∀ b ∈ t, p (a ⊓ b) :=
forall_mem_image₂
@[simp]
theorem infs_subset_iff : s ⊼ t ⊆ u ↔ ∀ a ∈ s, ∀ b ∈ t, a ⊓ b ∈ u :=
image₂_subset_iff
@[simp]
theorem infs_nonempty : (s ⊼ t).Nonempty ↔ s.Nonempty ∧ t.Nonempty :=
image₂_nonempty_iff
@[aesop safe apply (rule_sets := [finsetNonempty])]
protected theorem Nonempty.infs : s.Nonempty → t.Nonempty → (s ⊼ t).Nonempty :=
Nonempty.image₂
theorem Nonempty.of_infs_left : (s ⊼ t).Nonempty → s.Nonempty :=
Nonempty.of_image₂_left
theorem Nonempty.of_infs_right : (s ⊼ t).Nonempty → t.Nonempty :=
Nonempty.of_image₂_right
@[simp]
theorem empty_infs : ∅ ⊼ t = ∅ :=
image₂_empty_left
@[simp]
theorem infs_empty : s ⊼ ∅ = ∅ :=
image₂_empty_right
@[simp]
theorem infs_eq_empty : s ⊼ t = ∅ ↔ s = ∅ ∨ t = ∅ :=
image₂_eq_empty_iff
@[simp] lemma singleton_infs : {a} ⊼ t = t.image (a ⊓ ·) := image₂_singleton_left
@[simp] lemma infs_singleton : s ⊼ {b} = s.image (· ⊓ b) := image₂_singleton_right
theorem singleton_infs_singleton : ({a} ⊼ {b} : Finset α) = {a ⊓ b} :=
image₂_singleton
theorem infs_union_left : (s₁ ∪ s₂) ⊼ t = s₁ ⊼ t ∪ s₂ ⊼ t :=
image₂_union_left
theorem infs_union_right : s ⊼ (t₁ ∪ t₂) = s ⊼ t₁ ∪ s ⊼ t₂ :=
image₂_union_right
theorem infs_inter_subset_left : (s₁ ∩ s₂) ⊼ t ⊆ s₁ ⊼ t ∩ s₂ ⊼ t :=
image₂_inter_subset_left
theorem infs_inter_subset_right : s ⊼ (t₁ ∩ t₂) ⊆ s ⊼ t₁ ∩ s ⊼ t₂ :=
image₂_inter_subset_right
theorem subset_infs {s t : Set α} :
↑u ⊆ s ⊼ t → ∃ s' t' : Finset α, ↑s' ⊆ s ∧ ↑t' ⊆ t ∧ u ⊆ s' ⊼ t' :=
subset_set_image₂
lemma image_infs (f : F) (s t : Finset α) : image f (s ⊼ t) = image f s ⊼ image f t :=
image_image₂_distrib <| map_inf f
lemma map_infs (f : F) (hf) (s t : Finset α) :
map ⟨f, hf⟩ (s ⊼ t) = map ⟨f, hf⟩ s ⊼ map ⟨f, hf⟩ t := by
simpa [map_eq_image] using image_infs f s t
lemma subset_infs_self : s ⊆ s ⊼ s := fun _a ha ↦ mem_infs.2 ⟨_, ha, _, ha, inf_idem _⟩
lemma infs_self_subset : s ⊼ s ⊆ s ↔ InfClosed (s : Set α) := infs_subset_iff
@[simp] lemma infs_self : s ⊼ s = s ↔ InfClosed (s : Set α) := by simp [← coe_inj]
@[simp] lemma univ_infs_univ [Fintype α] : (univ : Finset α) ⊼ univ = univ := by simp
lemma filter_infs_le [DecidableLE α] (s t : Finset α) (a : α) :
{b ∈ s ⊼ t | a ≤ b} = {b ∈ s | a ≤ b} ⊼ {b ∈ t | a ≤ b} := by
simp only [← coe_inj, coe_filter, coe_infs, ← mem_coe, Set.sep_infs_le]
variable (s t u)
lemma biUnion_image_inf_left : s.biUnion (fun a ↦ t.image (a ⊓ ·)) = s ⊼ t := biUnion_image_left
lemma biUnion_image_inf_right : t.biUnion (fun b ↦ s.image (· ⊓ b)) = s ⊼ t := biUnion_image_right
theorem image_inf_product (s t : Finset α) : (s ×ˢ t).image (uncurry (· ⊓ ·)) = s ⊼ t :=
image_uncurry_product _ _ _
theorem infs_assoc : s ⊼ t ⊼ u = s ⊼ (t ⊼ u) := image₂_assoc inf_assoc
theorem infs_comm : s ⊼ t = t ⊼ s := image₂_comm inf_comm
theorem infs_left_comm : s ⊼ (t ⊼ u) = t ⊼ (s ⊼ u) :=
image₂_left_comm inf_left_comm
theorem infs_right_comm : s ⊼ t ⊼ u = s ⊼ u ⊼ t :=
image₂_right_comm inf_right_comm
theorem infs_infs_infs_comm : s ⊼ t ⊼ (u ⊼ v) = s ⊼ u ⊼ (t ⊼ v) :=
image₂_image₂_image₂_comm inf_inf_inf_comm
end Infs
open FinsetFamily
section DistribLattice
variable [DecidableEq α]
variable [DistribLattice α] (s t u : Finset α)
theorem sups_infs_subset_left : s ⊻ t ⊼ u ⊆ (s ⊻ t) ⊼ (s ⊻ u) :=
image₂_distrib_subset_left sup_inf_left
theorem sups_infs_subset_right : t ⊼ u ⊻ s ⊆ (t ⊻ s) ⊼ (u ⊻ s) :=
image₂_distrib_subset_right sup_inf_right
theorem infs_sups_subset_left : s ⊼ (t ⊻ u) ⊆ s ⊼ t ⊻ s ⊼ u :=
image₂_distrib_subset_left inf_sup_left
theorem infs_sups_subset_right : (t ⊻ u) ⊼ s ⊆ t ⊼ s ⊻ u ⊼ s :=
image₂_distrib_subset_right inf_sup_right
end DistribLattice
section Finset
variable [DecidableEq α]
variable {𝒜 ℬ : Finset (Finset α)} {s t : Finset α}
@[simp] lemma powerset_union (s t : Finset α) : (s ∪ t).powerset = s.powerset ⊻ t.powerset := by
ext u
simp only [mem_sups, mem_powerset, le_eq_subset, sup_eq_union]
refine ⟨fun h ↦ ⟨_, inter_subset_left (s₂ := u), _, inter_subset_left (s₂ := u), ?_⟩, ?_⟩
· rwa [← union_inter_distrib_right, inter_eq_right]
· rintro ⟨v, hv, w, hw, rfl⟩
exact union_subset_union hv hw
@[simp] lemma powerset_inter (s t : Finset α) : (s ∩ t).powerset = s.powerset ⊼ t.powerset := by
ext u
simp only [mem_infs, mem_powerset, le_eq_subset, inf_eq_inter]
refine ⟨fun h ↦ ⟨_, inter_subset_left (s₂ := u), _, inter_subset_left (s₂ := u), ?_⟩, ?_⟩
· rwa [← inter_inter_distrib_right, inter_eq_right]
· rintro ⟨v, hv, w, hw, rfl⟩
exact inter_subset_inter hv hw
@[simp] lemma powerset_sups_powerset_self (s : Finset α) :
s.powerset ⊻ s.powerset = s.powerset := by simp [← powerset_union]
@[simp] lemma powerset_infs_powerset_self (s : Finset α) :
s.powerset ⊼ s.powerset = s.powerset := by simp [← powerset_inter]
lemma union_mem_sups : s ∈ 𝒜 → t ∈ ℬ → s ∪ t ∈ 𝒜 ⊻ ℬ := sup_mem_sups
lemma inter_mem_infs : s ∈ 𝒜 → t ∈ ℬ → s ∩ t ∈ 𝒜 ⊼ ℬ := inf_mem_infs
end Finset
section DisjSups
variable [DecidableEq α]
variable [SemilatticeSup α] [OrderBot α] [DecidableRel (α := α) Disjoint]
(s s₁ s₂ t t₁ t₂ u : Finset α)
/-- The finset of elements of the form `a ⊔ b` where `a ∈ s`, `b ∈ t` and `a` and `b` are disjoint.
-/
def disjSups : Finset α := {ab ∈ s ×ˢ t | Disjoint ab.1 ab.2}.image fun ab => ab.1 ⊔ ab.2
@[inherit_doc]
scoped[FinsetFamily] infixl:74 " ○ " => Finset.disjSups
open FinsetFamily
variable {s t u} {a b c : α}
@[simp]
theorem mem_disjSups : c ∈ s ○ t ↔ ∃ a ∈ s, ∃ b ∈ t, Disjoint a b ∧ a ⊔ b = c := by
simp [disjSups, and_assoc]
theorem disjSups_subset_sups : s ○ t ⊆ s ⊻ t := by
simp_rw [subset_iff, mem_sups, mem_disjSups]
exact fun c ⟨a, b, ha, hb, _, hc⟩ => ⟨a, b, ha, hb, hc⟩
variable (s t)
theorem card_disjSups_le : #(s ○ t) ≤ #s * #t :=
(card_le_card disjSups_subset_sups).trans <| card_sups_le _ _
variable {s s₁ s₂ t t₁ t₂}
theorem disjSups_subset (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) : s₁ ○ t₁ ⊆ s₂ ○ t₂ :=
image_subset_image <| filter_subset_filter _ <| product_subset_product hs ht
theorem disjSups_subset_left (ht : t₁ ⊆ t₂) : s ○ t₁ ⊆ s ○ t₂ :=
disjSups_subset Subset.rfl ht
theorem disjSups_subset_right (hs : s₁ ⊆ s₂) : s₁ ○ t ⊆ s₂ ○ t :=
disjSups_subset hs Subset.rfl
theorem forall_disjSups_iff {p : α → Prop} :
(∀ c ∈ s ○ t, p c) ↔ ∀ a ∈ s, ∀ b ∈ t, Disjoint a b → p (a ⊔ b) := by
simp_rw [mem_disjSups]
refine ⟨fun h a ha b hb hab => h _ ⟨_, ha, _, hb, hab, rfl⟩, ?_⟩
rintro h _ ⟨a, ha, b, hb, hab, rfl⟩
exact h _ ha _ hb hab
@[simp]
theorem disjSups_subset_iff : s ○ t ⊆ u ↔ ∀ a ∈ s, ∀ b ∈ t, Disjoint a b → a ⊔ b ∈ u :=
forall_disjSups_iff
theorem Nonempty.of_disjSups_left : (s ○ t).Nonempty → s.Nonempty := by
simp_rw [Finset.Nonempty, mem_disjSups]
exact fun ⟨_, a, ha, _⟩ => ⟨a, ha⟩
theorem Nonempty.of_disjSups_right : (s ○ t).Nonempty → t.Nonempty := by
simp_rw [Finset.Nonempty, mem_disjSups]
exact fun ⟨_, _, _, b, hb, _⟩ => ⟨b, hb⟩
@[simp]
theorem disjSups_empty_left : ∅ ○ t = ∅ := by simp [disjSups]
@[simp]
theorem disjSups_empty_right : s ○ ∅ = ∅ := by simp [disjSups]
theorem disjSups_singleton : ({a} ○ {b} : Finset α) = if Disjoint a b then {a ⊔ b} else ∅ := by
split_ifs with h <;> simp [disjSups, filter_singleton, h]
theorem disjSups_union_left : (s₁ ∪ s₂) ○ t = s₁ ○ t ∪ s₂ ○ t := by
simp [disjSups, filter_union, image_union]
theorem disjSups_union_right : s ○ (t₁ ∪ t₂) = s ○ t₁ ∪ s ○ t₂ := by
simp [disjSups, filter_union, image_union]
theorem disjSups_inter_subset_left : (s₁ ∩ s₂) ○ t ⊆ s₁ ○ t ∩ s₂ ○ t := by
simpa only [disjSups, inter_product, filter_inter_distrib] using image_inter_subset _ _ _
theorem disjSups_inter_subset_right : s ○ (t₁ ∩ t₂) ⊆ s ○ t₁ ∩ s ○ t₂ := by
simpa only [disjSups, product_inter, filter_inter_distrib] using image_inter_subset _ _ _
variable (s t)
theorem disjSups_comm : s ○ t = t ○ s := by
aesop (add simp disjoint_comm, simp sup_comm)
instance : @Std.Commutative (Finset α) (· ○ ·) := ⟨disjSups_comm⟩
end DisjSups
open FinsetFamily
section DistribLattice
variable [DecidableEq α]
variable [DistribLattice α] [OrderBot α] [DecidableRel (α := α) Disjoint] (s t u v : Finset α)
theorem disjSups_assoc : ∀ s t u : Finset α, s ○ t ○ u = s ○ (t ○ u) := by
refine (associative_of_commutative_of_le inferInstance ?_).assoc
simp only [le_eq_subset, disjSups_subset_iff, mem_disjSups]
rintro s t u _ ⟨a, ha, b, hb, hab, rfl⟩ c hc habc
rw [disjoint_sup_left] at habc
exact ⟨a, ha, _, ⟨b, hb, c, hc, habc.2, rfl⟩, hab.sup_right habc.1, (sup_assoc ..).symm⟩
instance : @Std.Associative (Finset α) (· ○ ·) := ⟨disjSups_assoc⟩
theorem disjSups_left_comm : s ○ (t ○ u) = t ○ (s ○ u) := by
simp_rw [← disjSups_assoc, disjSups_comm s]
theorem disjSups_right_comm : s ○ t ○ u = s ○ u ○ t := by simp_rw [disjSups_assoc, disjSups_comm]
theorem disjSups_disjSups_disjSups_comm : s ○ t ○ (u ○ v) = s ○ u ○ (t ○ v) := by
simp_rw [← disjSups_assoc, disjSups_right_comm]
end DistribLattice
section Diffs
variable [DecidableEq α]
variable [GeneralizedBooleanAlgebra α] (s s₁ s₂ t t₁ t₂ u : Finset α)
/-- `s \\ t` is the finset of elements of the form `a \ b` where `a ∈ s`, `b ∈ t`. -/
def diffs : Finset α → Finset α → Finset α := image₂ (· \ ·)
@[inherit_doc]
scoped[FinsetFamily] infixl:74 " \\\\ " => Finset.diffs
-- This notation is meant to have higher precedence than `\` and `⊓`, but still within the
-- realm of other binary notation
open FinsetFamily
variable {s t} {a b c : α}
@[simp] lemma mem_diffs : c ∈ s \\ t ↔ ∃ a ∈ s, ∃ b ∈ t, a \ b = c := by simp [(· \\ ·)]
variable (s t)
@[simp, norm_cast] lemma coe_diffs : (↑(s \\ t) : Set α) = Set.image2 (· \ ·) s t :=
coe_image₂ _ _ _
lemma card_diffs_le : #(s \\ t) ≤ #s * #t := card_image₂_le _ _ _
lemma card_diffs_iff : #(s \\ t) = #s * #t ↔ (s ×ˢ t : Set (α × α)).InjOn fun x ↦ x.1 \ x.2 :=
card_image₂_iff
variable {s s₁ s₂ t t₁ t₂ u}
lemma sdiff_mem_diffs : a ∈ s → b ∈ t → a \ b ∈ s \\ t := mem_image₂_of_mem
lemma diffs_subset : s₁ ⊆ s₂ → t₁ ⊆ t₂ → s₁ \\ t₁ ⊆ s₂ \\ t₂ := image₂_subset
lemma diffs_subset_left : t₁ ⊆ t₂ → s \\ t₁ ⊆ s \\ t₂ := image₂_subset_left
lemma diffs_subset_right : s₁ ⊆ s₂ → s₁ \\ t ⊆ s₂ \\ t := image₂_subset_right
|
lemma image_subset_diffs_left : b ∈ t → s.image (· \ b) ⊆ s \\ t := image_subset_image₂_left
| Mathlib/Data/Finset/Sups.lean | 536 | 538 |
/-
Copyright (c) 2018 Michael Jendrusch. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Jendrusch, Kim Morrison, Bhavik Mehta, Jakob von Raumer
-/
import Mathlib.CategoryTheory.EqToHom
import Mathlib.CategoryTheory.Functor.Trifunctor
import Mathlib.CategoryTheory.Products.Basic
/-!
# Monoidal categories
A monoidal category is a category equipped with a tensor product, unitors, and an associator.
In the definition, we provide the tensor product as a pair of functions
* `tensorObj : C → C → C`
* `tensorHom : (X₁ ⟶ Y₁) → (X₂ ⟶ Y₂) → ((X₁ ⊗ X₂) ⟶ (Y₁ ⊗ Y₂))`
and allow use of the overloaded notation `⊗` for both.
The unitors and associator are provided componentwise.
The tensor product can be expressed as a functor via `tensor : C × C ⥤ C`.
The unitors and associator are gathered together as natural
isomorphisms in `leftUnitor_nat_iso`, `rightUnitor_nat_iso` and `associator_nat_iso`.
Some consequences of the definition are proved in other files after proving the coherence theorem,
e.g. `(λ_ (𝟙_ C)).hom = (ρ_ (𝟙_ C)).hom` in `CategoryTheory.Monoidal.CoherenceLemmas`.
## Implementation notes
In the definition of monoidal categories, we also provide the whiskering operators:
* `whiskerLeft (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) : X ⊗ Y₁ ⟶ X ⊗ Y₂`, denoted by `X ◁ f`,
* `whiskerRight {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) : X₁ ⊗ Y ⟶ X₂ ⊗ Y`, denoted by `f ▷ Y`.
These are products of an object and a morphism (the terminology "whiskering"
is borrowed from 2-category theory). The tensor product of morphisms `tensorHom` can be defined
in terms of the whiskerings. There are two possible such definitions, which are related by
the exchange property of the whiskerings. These two definitions are accessed by `tensorHom_def`
and `tensorHom_def'`. By default, `tensorHom` is defined so that `tensorHom_def` holds
definitionally.
If you want to provide `tensorHom` and define `whiskerLeft` and `whiskerRight` in terms of it,
you can use the alternative constructor `CategoryTheory.MonoidalCategory.ofTensorHom`.
The whiskerings are useful when considering simp-normal forms of morphisms in monoidal categories.
### Simp-normal form for morphisms
Rewriting involving associators and unitors could be very complicated. We try to ease this
complexity by putting carefully chosen simp lemmas that rewrite any morphisms into the simp-normal
form defined below. Rewriting into simp-normal form is especially useful in preprocessing
performed by the `coherence` tactic.
The simp-normal form of morphisms is defined to be an expression that has the minimal number of
parentheses. More precisely,
1. it is a composition of morphisms like `f₁ ≫ f₂ ≫ f₃ ≫ f₄ ≫ f₅` such that each `fᵢ` is
either a structural morphisms (morphisms made up only of identities, associators, unitors)
or non-structural morphisms, and
2. each non-structural morphism in the composition is of the form `X₁ ◁ X₂ ◁ X₃ ◁ f ▷ X₄ ▷ X₅`,
where each `Xᵢ` is a object that is not the identity or a tensor and `f` is a non-structural
morphisms that is not the identity or a composite.
Note that `X₁ ◁ X₂ ◁ X₃ ◁ f ▷ X₄ ▷ X₅` is actually `X₁ ◁ (X₂ ◁ (X₃ ◁ ((f ▷ X₄) ▷ X₅)))`.
Currently, the simp lemmas don't rewrite `𝟙 X ⊗ f` and `f ⊗ 𝟙 Y` into `X ◁ f` and `f ▷ Y`,
respectively, since it requires a huge refactoring. We hope to add these simp lemmas soon.
## References
* Tensor categories, Etingof, Gelaki, Nikshych, Ostrik,
http://www-math.mit.edu/~etingof/egnobookfinal.pdf
* <https://stacks.math.columbia.edu/tag/0FFK>.
-/
universe v u
open CategoryTheory.Category
open CategoryTheory.Iso
namespace CategoryTheory
/-- Auxiliary structure to carry only the data fields of (and provide notation for)
`MonoidalCategory`. -/
class MonoidalCategoryStruct (C : Type u) [𝒞 : Category.{v} C] where
/-- curried tensor product of objects -/
tensorObj : C → C → C
/-- left whiskering for morphisms -/
whiskerLeft (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) : tensorObj X Y₁ ⟶ tensorObj X Y₂
/-- right whiskering for morphisms -/
whiskerRight {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) : tensorObj X₁ Y ⟶ tensorObj X₂ Y
/-- Tensor product of identity maps is the identity: `(𝟙 X₁ ⊗ 𝟙 X₂) = 𝟙 (X₁ ⊗ X₂)` -/
-- By default, it is defined in terms of whiskerings.
tensorHom {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) : (tensorObj X₁ X₂ ⟶ tensorObj Y₁ Y₂) :=
whiskerRight f X₂ ≫ whiskerLeft Y₁ g
/-- The tensor unity in the monoidal structure `𝟙_ C` -/
tensorUnit (C) : C
/-- The associator isomorphism `(X ⊗ Y) ⊗ Z ≃ X ⊗ (Y ⊗ Z)` -/
associator : ∀ X Y Z : C, tensorObj (tensorObj X Y) Z ≅ tensorObj X (tensorObj Y Z)
/-- The left unitor: `𝟙_ C ⊗ X ≃ X` -/
leftUnitor : ∀ X : C, tensorObj tensorUnit X ≅ X
/-- The right unitor: `X ⊗ 𝟙_ C ≃ X` -/
rightUnitor : ∀ X : C, tensorObj X tensorUnit ≅ X
namespace MonoidalCategory
export MonoidalCategoryStruct
(tensorObj whiskerLeft whiskerRight tensorHom tensorUnit associator leftUnitor rightUnitor)
end MonoidalCategory
namespace MonoidalCategory
/-- Notation for `tensorObj`, the tensor product of objects in a monoidal category -/
scoped infixr:70 " ⊗ " => MonoidalCategoryStruct.tensorObj
/-- Notation for the `whiskerLeft` operator of monoidal categories -/
scoped infixr:81 " ◁ " => MonoidalCategoryStruct.whiskerLeft
/-- Notation for the `whiskerRight` operator of monoidal categories -/
scoped infixl:81 " ▷ " => MonoidalCategoryStruct.whiskerRight
/-- Notation for `tensorHom`, the tensor product of morphisms in a monoidal category -/
scoped infixr:70 " ⊗ " => MonoidalCategoryStruct.tensorHom
/-- Notation for `tensorUnit`, the two-sided identity of `⊗` -/
scoped notation "𝟙_ " C:arg => MonoidalCategoryStruct.tensorUnit C
/-- Notation for the monoidal `associator`: `(X ⊗ Y) ⊗ Z ≃ X ⊗ (Y ⊗ Z)` -/
scoped notation "α_" => MonoidalCategoryStruct.associator
/-- Notation for the `leftUnitor`: `𝟙_C ⊗ X ≃ X` -/
scoped notation "λ_" => MonoidalCategoryStruct.leftUnitor
/-- Notation for the `rightUnitor`: `X ⊗ 𝟙_C ≃ X` -/
scoped notation "ρ_" => MonoidalCategoryStruct.rightUnitor
/-- The property that the pentagon relation is satisfied by four objects
in a category equipped with a `MonoidalCategoryStruct`. -/
def Pentagon {C : Type u} [Category.{v} C] [MonoidalCategoryStruct C]
(Y₁ Y₂ Y₃ Y₄ : C) : Prop :=
(α_ Y₁ Y₂ Y₃).hom ▷ Y₄ ≫ (α_ Y₁ (Y₂ ⊗ Y₃) Y₄).hom ≫ Y₁ ◁ (α_ Y₂ Y₃ Y₄).hom =
(α_ (Y₁ ⊗ Y₂) Y₃ Y₄).hom ≫ (α_ Y₁ Y₂ (Y₃ ⊗ Y₄)).hom
end MonoidalCategory
open MonoidalCategory
/--
In a monoidal category, we can take the tensor product of objects, `X ⊗ Y` and of morphisms `f ⊗ g`.
Tensor product does not need to be strictly associative on objects, but there is a
specified associator, `α_ X Y Z : (X ⊗ Y) ⊗ Z ≅ X ⊗ (Y ⊗ Z)`. There is a tensor unit `𝟙_ C`,
with specified left and right unitor isomorphisms `λ_ X : 𝟙_ C ⊗ X ≅ X` and `ρ_ X : X ⊗ 𝟙_ C ≅ X`.
These associators and unitors satisfy the pentagon and triangle equations. -/
@[stacks 0FFK]
-- Porting note: The Mathport did not translate the temporary notation
class MonoidalCategory (C : Type u) [𝒞 : Category.{v} C] extends MonoidalCategoryStruct C where
tensorHom_def {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) :
f ⊗ g = (f ▷ X₂) ≫ (Y₁ ◁ g) := by
aesop_cat
/-- Tensor product of identity maps is the identity: `(𝟙 X₁ ⊗ 𝟙 X₂) = 𝟙 (X₁ ⊗ X₂)` -/
tensor_id : ∀ X₁ X₂ : C, 𝟙 X₁ ⊗ 𝟙 X₂ = 𝟙 (X₁ ⊗ X₂) := by aesop_cat
/--
Tensor product of compositions is composition of tensor products:
`(f₁ ≫ g₁) ⊗ (f₂ ≫ g₂) = (f₁ ⊗ f₂) ≫ (g₁ ⊗ g₂)`
-/
tensor_comp :
∀ {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : C} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁) (g₂ : Y₂ ⟶ Z₂),
(f₁ ≫ g₁) ⊗ (f₂ ≫ g₂) = (f₁ ⊗ f₂) ≫ (g₁ ⊗ g₂) := by
aesop_cat
whiskerLeft_id : ∀ (X Y : C), X ◁ 𝟙 Y = 𝟙 (X ⊗ Y) := by
aesop_cat
id_whiskerRight : ∀ (X Y : C), 𝟙 X ▷ Y = 𝟙 (X ⊗ Y) := by
aesop_cat
/-- Naturality of the associator isomorphism: `(f₁ ⊗ f₂) ⊗ f₃ ≃ f₁ ⊗ (f₂ ⊗ f₃)` -/
associator_naturality :
∀ {X₁ X₂ X₃ Y₁ Y₂ Y₃ : C} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (f₃ : X₃ ⟶ Y₃),
((f₁ ⊗ f₂) ⊗ f₃) ≫ (α_ Y₁ Y₂ Y₃).hom = (α_ X₁ X₂ X₃).hom ≫ (f₁ ⊗ (f₂ ⊗ f₃)) := by
aesop_cat
/--
Naturality of the left unitor, commutativity of `𝟙_ C ⊗ X ⟶ 𝟙_ C ⊗ Y ⟶ Y` and `𝟙_ C ⊗ X ⟶ X ⟶ Y`
-/
leftUnitor_naturality :
∀ {X Y : C} (f : X ⟶ Y), 𝟙_ _ ◁ f ≫ (λ_ Y).hom = (λ_ X).hom ≫ f := by
aesop_cat
/--
Naturality of the right unitor: commutativity of `X ⊗ 𝟙_ C ⟶ Y ⊗ 𝟙_ C ⟶ Y` and `X ⊗ 𝟙_ C ⟶ X ⟶ Y`
-/
rightUnitor_naturality :
∀ {X Y : C} (f : X ⟶ Y), f ▷ 𝟙_ _ ≫ (ρ_ Y).hom = (ρ_ X).hom ≫ f := by
aesop_cat
/--
The pentagon identity relating the isomorphism between `X ⊗ (Y ⊗ (Z ⊗ W))` and `((X ⊗ Y) ⊗ Z) ⊗ W`
-/
pentagon :
∀ W X Y Z : C,
(α_ W X Y).hom ▷ Z ≫ (α_ W (X ⊗ Y) Z).hom ≫ W ◁ (α_ X Y Z).hom =
(α_ (W ⊗ X) Y Z).hom ≫ (α_ W X (Y ⊗ Z)).hom := by
aesop_cat
/--
The identity relating the isomorphisms between `X ⊗ (𝟙_ C ⊗ Y)`, `(X ⊗ 𝟙_ C) ⊗ Y` and `X ⊗ Y`
-/
triangle :
∀ X Y : C, (α_ X (𝟙_ _) Y).hom ≫ X ◁ (λ_ Y).hom = (ρ_ X).hom ▷ Y := by
aesop_cat
attribute [reassoc] MonoidalCategory.tensorHom_def
attribute [reassoc, simp] MonoidalCategory.whiskerLeft_id
attribute [reassoc, simp] MonoidalCategory.id_whiskerRight
attribute [reassoc] MonoidalCategory.tensor_comp
attribute [simp] MonoidalCategory.tensor_comp
attribute [reassoc] MonoidalCategory.associator_naturality
attribute [reassoc] MonoidalCategory.leftUnitor_naturality
attribute [reassoc] MonoidalCategory.rightUnitor_naturality
attribute [reassoc (attr := simp)] MonoidalCategory.pentagon
attribute [reassoc (attr := simp)] MonoidalCategory.triangle
namespace MonoidalCategory
variable {C : Type u} [𝒞 : Category.{v} C] [MonoidalCategory C]
@[simp]
theorem id_tensorHom (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) :
𝟙 X ⊗ f = X ◁ f := by
simp [tensorHom_def]
@[simp]
theorem tensorHom_id {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) :
f ⊗ 𝟙 Y = f ▷ Y := by
simp [tensorHom_def]
@[reassoc, simp]
theorem whiskerLeft_comp (W : C) {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) :
W ◁ (f ≫ g) = W ◁ f ≫ W ◁ g := by
simp only [← id_tensorHom, ← tensor_comp, comp_id]
@[reassoc, simp]
theorem id_whiskerLeft {X Y : C} (f : X ⟶ Y) :
𝟙_ C ◁ f = (λ_ X).hom ≫ f ≫ (λ_ Y).inv := by
rw [← assoc, ← leftUnitor_naturality]; simp [id_tensorHom]
@[reassoc, simp]
theorem tensor_whiskerLeft (X Y : C) {Z Z' : C} (f : Z ⟶ Z') :
(X ⊗ Y) ◁ f = (α_ X Y Z).hom ≫ X ◁ Y ◁ f ≫ (α_ X Y Z').inv := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [← assoc, ← associator_naturality]
simp
@[reassoc, simp]
theorem comp_whiskerRight {W X Y : C} (f : W ⟶ X) (g : X ⟶ Y) (Z : C) :
(f ≫ g) ▷ Z = f ▷ Z ≫ g ▷ Z := by
simp only [← tensorHom_id, ← tensor_comp, id_comp]
@[reassoc, simp]
theorem whiskerRight_id {X Y : C} (f : X ⟶ Y) :
f ▷ 𝟙_ C = (ρ_ X).hom ≫ f ≫ (ρ_ Y).inv := by
rw [← assoc, ← rightUnitor_naturality]; simp [tensorHom_id]
@[reassoc, simp]
theorem whiskerRight_tensor {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ (Y ⊗ Z) = (α_ X Y Z).inv ≫ f ▷ Y ▷ Z ≫ (α_ X' Y Z).hom := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [associator_naturality]
simp [tensor_id]
@[reassoc, simp]
theorem whisker_assoc (X : C) {Y Y' : C} (f : Y ⟶ Y') (Z : C) :
(X ◁ f) ▷ Z = (α_ X Y Z).hom ≫ X ◁ f ▷ Z ≫ (α_ X Y' Z).inv := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [← assoc, ← associator_naturality]
simp
@[reassoc]
theorem whisker_exchange {W X Y Z : C} (f : W ⟶ X) (g : Y ⟶ Z) :
W ◁ g ≫ f ▷ Z = f ▷ Y ≫ X ◁ g := by
simp only [← id_tensorHom, ← tensorHom_id, ← tensor_comp, id_comp, comp_id]
@[reassoc]
theorem tensorHom_def' {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) :
f ⊗ g = X₁ ◁ g ≫ f ▷ Y₂ :=
whisker_exchange f g ▸ tensorHom_def f g
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv (X : C) {Y Z : C} (f : Y ≅ Z) :
X ◁ f.hom ≫ X ◁ f.inv = 𝟙 (X ⊗ Y) := by
rw [← whiskerLeft_comp, hom_inv_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight {X Y : C} (f : X ≅ Y) (Z : C) :
f.hom ▷ Z ≫ f.inv ▷ Z = 𝟙 (X ⊗ Z) := by
rw [← comp_whiskerRight, hom_inv_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom (X : C) {Y Z : C} (f : Y ≅ Z) :
X ◁ f.inv ≫ X ◁ f.hom = 𝟙 (X ⊗ Z) := by
rw [← whiskerLeft_comp, inv_hom_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight {X Y : C} (f : X ≅ Y) (Z : C) :
f.inv ▷ Z ≫ f.hom ▷ Z = 𝟙 (Y ⊗ Z) := by
rw [← comp_whiskerRight, inv_hom_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv' (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
X ◁ f ≫ X ◁ inv f = 𝟙 (X ⊗ Y) := by
rw [← whiskerLeft_comp, IsIso.hom_inv_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight' {X Y : C} (f : X ⟶ Y) [IsIso f] (Z : C) :
f ▷ Z ≫ inv f ▷ Z = 𝟙 (X ⊗ Z) := by
rw [← comp_whiskerRight, IsIso.hom_inv_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom' (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
X ◁ inv f ≫ X ◁ f = 𝟙 (X ⊗ Z) := by
rw [← whiskerLeft_comp, IsIso.inv_hom_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight' {X Y : C} (f : X ⟶ Y) [IsIso f] (Z : C) :
inv f ▷ Z ≫ f ▷ Z = 𝟙 (Y ⊗ Z) := by
rw [← comp_whiskerRight, IsIso.inv_hom_id, id_whiskerRight]
/-- The left whiskering of an isomorphism is an isomorphism. -/
@[simps]
def whiskerLeftIso (X : C) {Y Z : C} (f : Y ≅ Z) : X ⊗ Y ≅ X ⊗ Z where
hom := X ◁ f.hom
inv := X ◁ f.inv
instance whiskerLeft_isIso (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] : IsIso (X ◁ f) :=
(whiskerLeftIso X (asIso f)).isIso_hom
@[simp]
theorem inv_whiskerLeft (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
inv (X ◁ f) = X ◁ inv f := by
aesop_cat
@[simp]
lemma whiskerLeftIso_refl (W X : C) :
whiskerLeftIso W (Iso.refl X) = Iso.refl (W ⊗ X) :=
Iso.ext (whiskerLeft_id W X)
@[simp]
lemma whiskerLeftIso_trans (W : C) {X Y Z : C} (f : X ≅ Y) (g : Y ≅ Z) :
whiskerLeftIso W (f ≪≫ g) = whiskerLeftIso W f ≪≫ whiskerLeftIso W g :=
Iso.ext (whiskerLeft_comp W f.hom g.hom)
@[simp]
lemma whiskerLeftIso_symm (W : C) {X Y : C} (f : X ≅ Y) :
(whiskerLeftIso W f).symm = whiskerLeftIso W f.symm := rfl
/-- The right whiskering of an isomorphism is an isomorphism. -/
@[simps!]
def whiskerRightIso {X Y : C} (f : X ≅ Y) (Z : C) : X ⊗ Z ≅ Y ⊗ Z where
hom := f.hom ▷ Z
inv := f.inv ▷ Z
instance whiskerRight_isIso {X Y : C} (f : X ⟶ Y) (Z : C) [IsIso f] : IsIso (f ▷ Z) :=
(whiskerRightIso (asIso f) Z).isIso_hom
@[simp]
theorem inv_whiskerRight {X Y : C} (f : X ⟶ Y) (Z : C) [IsIso f] :
inv (f ▷ Z) = inv f ▷ Z := by
aesop_cat
@[simp]
lemma whiskerRightIso_refl (X W : C) :
whiskerRightIso (Iso.refl X) W = Iso.refl (X ⊗ W) :=
Iso.ext (id_whiskerRight X W)
@[simp]
lemma whiskerRightIso_trans {X Y Z : C} (f : X ≅ Y) (g : Y ≅ Z) (W : C) :
whiskerRightIso (f ≪≫ g) W = whiskerRightIso f W ≪≫ whiskerRightIso g W :=
Iso.ext (comp_whiskerRight f.hom g.hom W)
@[simp]
lemma whiskerRightIso_symm {X Y : C} (f : X ≅ Y) (W : C) :
(whiskerRightIso f W).symm = whiskerRightIso f.symm W := rfl
/-- The tensor product of two isomorphisms is an isomorphism. -/
@[simps]
def tensorIso {X Y X' Y' : C} (f : X ≅ Y)
(g : X' ≅ Y') : X ⊗ X' ≅ Y ⊗ Y' where
hom := f.hom ⊗ g.hom
inv := f.inv ⊗ g.inv
hom_inv_id := by rw [← tensor_comp, Iso.hom_inv_id, Iso.hom_inv_id, ← tensor_id]
inv_hom_id := by rw [← tensor_comp, Iso.inv_hom_id, Iso.inv_hom_id, ← tensor_id]
/-- Notation for `tensorIso`, the tensor product of isomorphisms -/
scoped infixr:70 " ⊗ " => tensorIso
theorem tensorIso_def {X Y X' Y' : C} (f : X ≅ Y) (g : X' ≅ Y') :
f ⊗ g = whiskerRightIso f X' ≪≫ whiskerLeftIso Y g :=
Iso.ext (tensorHom_def f.hom g.hom)
theorem tensorIso_def' {X Y X' Y' : C} (f : X ≅ Y) (g : X' ≅ Y') :
f ⊗ g = whiskerLeftIso X g ≪≫ whiskerRightIso f Y' :=
Iso.ext (tensorHom_def' f.hom g.hom)
instance tensor_isIso {W X Y Z : C} (f : W ⟶ X) [IsIso f] (g : Y ⟶ Z) [IsIso g] : IsIso (f ⊗ g) :=
(asIso f ⊗ asIso g).isIso_hom
@[simp]
theorem inv_tensor {W X Y Z : C} (f : W ⟶ X) [IsIso f] (g : Y ⟶ Z) [IsIso g] :
inv (f ⊗ g) = inv f ⊗ inv g := by
simp [tensorHom_def ,whisker_exchange]
variable {W X Y Z : C}
theorem whiskerLeft_dite {P : Prop} [Decidable P]
(X : C) {Y Z : C} (f : P → (Y ⟶ Z)) (f' : ¬P → (Y ⟶ Z)) :
X ◁ (if h : P then f h else f' h) = if h : P then X ◁ f h else X ◁ f' h := by
split_ifs <;> rfl
theorem dite_whiskerRight {P : Prop} [Decidable P]
{X Y : C} (f : P → (X ⟶ Y)) (f' : ¬P → (X ⟶ Y)) (Z : C) :
(if h : P then f h else f' h) ▷ Z = if h : P then f h ▷ Z else f' h ▷ Z := by
split_ifs <;> rfl
theorem tensor_dite {P : Prop} [Decidable P] {W X Y Z : C} (f : W ⟶ X) (g : P → (Y ⟶ Z))
(g' : ¬P → (Y ⟶ Z)) : (f ⊗ if h : P then g h else g' h) =
if h : P then f ⊗ g h else f ⊗ g' h := by split_ifs <;> rfl
theorem dite_tensor {P : Prop} [Decidable P] {W X Y Z : C} (f : W ⟶ X) (g : P → (Y ⟶ Z))
(g' : ¬P → (Y ⟶ Z)) : (if h : P then g h else g' h) ⊗ f =
if h : P then g h ⊗ f else g' h ⊗ f := by split_ifs <;> rfl
@[simp]
theorem whiskerLeft_eqToHom (X : C) {Y Z : C} (f : Y = Z) :
X ◁ eqToHom f = eqToHom (congr_arg₂ tensorObj rfl f) := by
cases f
simp only [whiskerLeft_id, eqToHom_refl]
@[simp]
theorem eqToHom_whiskerRight {X Y : C} (f : X = Y) (Z : C) :
eqToHom f ▷ Z = eqToHom (congr_arg₂ tensorObj f rfl) := by
cases f
simp only [id_whiskerRight, eqToHom_refl]
| @[reassoc]
theorem associator_naturality_left {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ Y ▷ Z ≫ (α_ X' Y Z).hom = (α_ X Y Z).hom ≫ f ▷ (Y ⊗ Z) := by simp
| Mathlib/CategoryTheory/Monoidal/Category.lean | 435 | 437 |
/-
Copyright (c) 2019 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison, Markus Himmel
-/
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Zero
/-!
# Kernels and cokernels
In a category with zero morphisms, the kernel of a morphism `f : X ⟶ Y` is
the equalizer of `f` and `0 : X ⟶ Y`. (Similarly the cokernel is the coequalizer.)
The basic definitions are
* `kernel : (X ⟶ Y) → C`
* `kernel.ι : kernel f ⟶ X`
* `kernel.condition : kernel.ι f ≫ f = 0` and
* `kernel.lift (k : W ⟶ X) (h : k ≫ f = 0) : W ⟶ kernel f` (as well as the dual versions)
## Main statements
Besides the definition and lifts, we prove
* `kernel.ιZeroIsIso`: a kernel map of a zero morphism is an isomorphism
* `kernel.eq_zero_of_epi_kernel`: if `kernel.ι f` is an epimorphism, then `f = 0`
* `kernel.ofMono`: the kernel of a monomorphism is the zero object
* `kernel.liftMono`: the lift of a monomorphism `k : W ⟶ X` such that `k ≫ f = 0`
is still a monomorphism
* `kernel.isLimitConeZeroCone`: if our category has a zero object, then the map from the zero
object is a kernel map of any monomorphism
* `kernel.ιOfZero`: `kernel.ι (0 : X ⟶ Y)` is an isomorphism
and the corresponding dual statements.
## Future work
* TODO: connect this with existing work in the group theory and ring theory libraries.
## 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.
## References
* [F. Borceux, *Handbook of Categorical Algebra 2*][borceux-vol2]
-/
noncomputable section
universe v v₂ u u' u₂
open CategoryTheory
open CategoryTheory.Limits.WalkingParallelPair
namespace CategoryTheory.Limits
variable {C : Type u} [Category.{v} C]
variable [HasZeroMorphisms C]
/-- A morphism `f` has a kernel if the functor `ParallelPair f 0` has a limit. -/
abbrev HasKernel {X Y : C} (f : X ⟶ Y) : Prop :=
HasLimit (parallelPair f 0)
/-- A morphism `f` has a cokernel if the functor `ParallelPair f 0` has a colimit. -/
abbrev HasCokernel {X Y : C} (f : X ⟶ Y) : Prop :=
HasColimit (parallelPair f 0)
variable {X Y : C} (f : X ⟶ Y)
section
/-- A kernel fork is just a fork where the second morphism is a zero morphism. -/
abbrev KernelFork :=
Fork f 0
variable {f}
@[reassoc (attr := simp)]
theorem KernelFork.condition (s : KernelFork f) : Fork.ι s ≫ f = 0 := by
rw [Fork.condition, HasZeroMorphisms.comp_zero]
theorem KernelFork.app_one (s : KernelFork f) : s.π.app one = 0 := by
simp [Fork.app_one_eq_ι_comp_right]
/-- A morphism `ι` satisfying `ι ≫ f = 0` determines a kernel fork over `f`. -/
abbrev KernelFork.ofι {Z : C} (ι : Z ⟶ X) (w : ι ≫ f = 0) : KernelFork f :=
Fork.ofι ι <| by rw [w, HasZeroMorphisms.comp_zero]
@[simp]
theorem KernelFork.ι_ofι {X Y P : C} (f : X ⟶ Y) (ι : P ⟶ X) (w : ι ≫ f = 0) :
Fork.ι (KernelFork.ofι ι w) = ι := rfl
section
-- attribute [local tidy] tactic.case_bash Porting note: no tidy nor case_bash
/-- Every kernel fork `s` is isomorphic (actually, equal) to `fork.ofι (fork.ι s) _`. -/
def isoOfι (s : Fork f 0) : s ≅ Fork.ofι (Fork.ι s) (Fork.condition s) :=
Cones.ext (Iso.refl _) <| by rintro ⟨j⟩ <;> simp
/-- If `ι = ι'`, then `fork.ofι ι _` and `fork.ofι ι' _` are isomorphic. -/
def ofιCongr {P : C} {ι ι' : P ⟶ X} {w : ι ≫ f = 0} (h : ι = ι') :
KernelFork.ofι ι w ≅ KernelFork.ofι ι' (by rw [← h, w]) :=
Cones.ext (Iso.refl _)
/-- If `F` is an equivalence, then applying `F` to a diagram indexing a (co)kernel of `f` yields
the diagram indexing the (co)kernel of `F.map f`. -/
def compNatIso {D : Type u'} [Category.{v} D] [HasZeroMorphisms D] (F : C ⥤ D) [F.IsEquivalence] :
parallelPair f 0 ⋙ F ≅ parallelPair (F.map f) 0 :=
let app (j : WalkingParallelPair) :
(parallelPair f 0 ⋙ F).obj j ≅ (parallelPair (F.map f) 0).obj j :=
match j with
| zero => Iso.refl _
| one => Iso.refl _
NatIso.ofComponents app <| by rintro ⟨i⟩ ⟨j⟩ <;> intro g <;> cases g <;> simp [app]
end
/-- If `s` is a limit kernel fork and `k : W ⟶ X` satisfies `k ≫ f = 0`, then there is some
`l : W ⟶ s.X` such that `l ≫ fork.ι s = k`. -/
def KernelFork.IsLimit.lift' {s : KernelFork f} (hs : IsLimit s) {W : C} (k : W ⟶ X)
(h : k ≫ f = 0) : { l : W ⟶ s.pt // l ≫ Fork.ι s = k } :=
⟨hs.lift <| KernelFork.ofι _ h, hs.fac _ _⟩
/-- This is a slightly more convenient method to verify that a kernel fork is a limit cone. It
only asks for a proof of facts that carry any mathematical content -/
def isLimitAux (t : KernelFork f) (lift : ∀ s : KernelFork f, s.pt ⟶ t.pt)
(fac : ∀ s : KernelFork f, lift s ≫ t.ι = s.ι)
(uniq : ∀ (s : KernelFork f) (m : s.pt ⟶ t.pt) (_ : m ≫ t.ι = s.ι), m = lift s) : IsLimit t :=
{ lift
fac := fun s j => by
cases j
· exact fac s
· simp
uniq := fun s m w => uniq s m (w Limits.WalkingParallelPair.zero) }
/-- This is a more convenient formulation to show that a `KernelFork` constructed using
`KernelFork.ofι` is a limit cone.
-/
def KernelFork.IsLimit.ofι {W : C} (g : W ⟶ X) (eq : g ≫ f = 0)
(lift : ∀ {W' : C} (g' : W' ⟶ X) (_ : g' ≫ f = 0), W' ⟶ W)
(fac : ∀ {W' : C} (g' : W' ⟶ X) (eq' : g' ≫ f = 0), lift g' eq' ≫ g = g')
(uniq :
∀ {W' : C} (g' : W' ⟶ X) (eq' : g' ≫ f = 0) (m : W' ⟶ W) (_ : m ≫ g = g'), m = lift g' eq') :
IsLimit (KernelFork.ofι g eq) :=
isLimitAux _ (fun s => lift s.ι s.condition) (fun s => fac s.ι s.condition) fun s =>
uniq s.ι s.condition
/-- This is a more convenient formulation to show that a `KernelFork` of the form
`KernelFork.ofι i _` is a limit cone when we know that `i` is a monomorphism. -/
def KernelFork.IsLimit.ofι' {X Y K : C} {f : X ⟶ Y} (i : K ⟶ X) (w : i ≫ f = 0)
(h : ∀ {A : C} (k : A ⟶ X) (_ : k ≫ f = 0), { l : A ⟶ K // l ≫ i = k}) [hi : Mono i] :
IsLimit (KernelFork.ofι i w) :=
ofι _ _ (fun {_} k hk => (h k hk).1) (fun {_} k hk => (h k hk).2) (fun {A} k hk m hm => by
rw [← cancel_mono i, (h k hk).2, hm])
/-- Every kernel of `f` induces a kernel of `f ≫ g` if `g` is mono. -/
def isKernelCompMono {c : KernelFork f} (i : IsLimit c) {Z} (g : Y ⟶ Z) [hg : Mono g] {h : X ⟶ Z}
(hh : h = f ≫ g) : IsLimit (KernelFork.ofι c.ι (by simp [hh]) : KernelFork h) :=
Fork.IsLimit.mk' _ fun s =>
let s' : KernelFork f := Fork.ofι s.ι (by rw [← cancel_mono g]; simp [← hh, s.condition])
let l := KernelFork.IsLimit.lift' i s'.ι s'.condition
⟨l.1, l.2, fun hm => by
apply Fork.IsLimit.hom_ext i; rw [Fork.ι_ofι] at hm; rw [hm]; exact l.2.symm⟩
theorem isKernelCompMono_lift {c : KernelFork f} (i : IsLimit c) {Z} (g : Y ⟶ Z) [hg : Mono g]
{h : X ⟶ Z} (hh : h = f ≫ g) (s : KernelFork h) :
(isKernelCompMono i g hh).lift s = i.lift (Fork.ofι s.ι (by
rw [← cancel_mono g, Category.assoc, ← hh]
simp)) := rfl
/-- Every kernel of `f ≫ g` is also a kernel of `f`, as long as `c.ι ≫ f` vanishes. -/
def isKernelOfComp {W : C} (g : Y ⟶ W) (h : X ⟶ W) {c : KernelFork h} (i : IsLimit c)
(hf : c.ι ≫ f = 0) (hfg : f ≫ g = h) : IsLimit (KernelFork.ofι c.ι hf) :=
Fork.IsLimit.mk _ (fun s => i.lift (KernelFork.ofι s.ι (by simp [← hfg])))
(fun s => by simp only [KernelFork.ι_ofι, Fork.IsLimit.lift_ι]) fun s m h => by
apply Fork.IsLimit.hom_ext i; simpa using h
/-- `X` identifies to the kernel of a zero map `X ⟶ Y`. -/
def KernelFork.IsLimit.ofId {X Y : C} (f : X ⟶ Y) (hf : f = 0) :
IsLimit (KernelFork.ofι (𝟙 X) (show 𝟙 X ≫ f = 0 by rw [hf, comp_zero])) :=
KernelFork.IsLimit.ofι _ _ (fun x _ => x) (fun _ _ => Category.comp_id _)
(fun _ _ _ hb => by simp only [← hb, Category.comp_id])
/-- Any zero object identifies to the kernel of a given monomorphisms. -/
def KernelFork.IsLimit.ofMonoOfIsZero {X Y : C} {f : X ⟶ Y} (c : KernelFork f)
(hf : Mono f) (h : IsZero c.pt) : IsLimit c :=
isLimitAux _ (fun _ => 0) (fun s => by rw [zero_comp, ← cancel_mono f, zero_comp, s.condition])
(fun _ _ _ => h.eq_of_tgt _ _)
lemma KernelFork.IsLimit.isIso_ι {X Y : C} {f : X ⟶ Y} (c : KernelFork f)
(hc : IsLimit c) (hf : f = 0) : IsIso c.ι := by
let e : c.pt ≅ X := IsLimit.conePointUniqueUpToIso hc
(KernelFork.IsLimit.ofId (f : X ⟶ Y) hf)
have eq : e.inv ≫ c.ι = 𝟙 X := Fork.IsLimit.lift_ι hc
haveI : IsIso (e.inv ≫ c.ι) := by
rw [eq]
infer_instance
exact IsIso.of_isIso_comp_left e.inv c.ι
/-- If `c` is a limit kernel fork for `g : X ⟶ Y`, `e : X ≅ X'` and `g' : X' ⟶ Y` is a morphism,
then there is a limit kernel fork for `g'` with the same point as `c` if for any
morphism `φ : W ⟶ X`, there is an equivalence `φ ≫ g = 0 ↔ φ ≫ e.hom ≫ g' = 0`. -/
def KernelFork.isLimitOfIsLimitOfIff {X Y : C} {g : X ⟶ Y} {c : KernelFork g} (hc : IsLimit c)
{X' Y' : C} (g' : X' ⟶ Y') (e : X ≅ X')
(iff : ∀ ⦃W : C⦄ (φ : W ⟶ X), φ ≫ g = 0 ↔ φ ≫ e.hom ≫ g' = 0) :
IsLimit (KernelFork.ofι (f := g') (c.ι ≫ e.hom) (by simp [← iff])) :=
KernelFork.IsLimit.ofι _ _
(fun s hs ↦ hc.lift (KernelFork.ofι (ι := s ≫ e.inv)
(by rw [iff, Category.assoc, Iso.inv_hom_id_assoc, hs])))
(fun s hs ↦ by simp [← cancel_mono e.inv])
(fun s hs m hm ↦ Fork.IsLimit.hom_ext hc (by simpa [← cancel_mono e.hom] using hm))
/-- If `c` is a limit kernel fork for `g : X ⟶ Y`, and `g' : X ⟶ Y'` is a another morphism,
then there is a limit kernel fork for `g'` with the same point as `c` if for any
morphism `φ : W ⟶ X`, there is an equivalence `φ ≫ g = 0 ↔ φ ≫ g' = 0`. -/
def KernelFork.isLimitOfIsLimitOfIff' {X Y : C} {g : X ⟶ Y} {c : KernelFork g} (hc : IsLimit c)
{Y' : C} (g' : X ⟶ Y')
(iff : ∀ ⦃W : C⦄ (φ : W ⟶ X), φ ≫ g = 0 ↔ φ ≫ g' = 0) :
IsLimit (KernelFork.ofι (f := g') c.ι (by simp [← iff])) :=
IsLimit.ofIsoLimit (isLimitOfIsLimitOfIff hc g' (Iso.refl _) (by simpa using iff))
(Fork.ext (Iso.refl _))
end
namespace KernelFork
variable {f} {X' Y' : C} {f' : X' ⟶ Y'}
/-- The morphism between points of kernel forks induced by a morphism
in the category of arrows. -/
def mapOfIsLimit (kf : KernelFork f) {kf' : KernelFork f'} (hf' : IsLimit kf')
(φ : Arrow.mk f ⟶ Arrow.mk f') : kf.pt ⟶ kf'.pt :=
hf'.lift (KernelFork.ofι (kf.ι ≫ φ.left) (by simp))
@[reassoc (attr := simp)]
lemma mapOfIsLimit_ι (kf : KernelFork f) {kf' : KernelFork f'} (hf' : IsLimit kf')
(φ : Arrow.mk f ⟶ Arrow.mk f') :
kf.mapOfIsLimit hf' φ ≫ kf'.ι = kf.ι ≫ φ.left :=
hf'.fac _ _
/-- The isomorphism between points of limit kernel forks induced by an isomorphism
in the category of arrows. -/
@[simps]
def mapIsoOfIsLimit {kf : KernelFork f} {kf' : KernelFork f'}
(hf : IsLimit kf) (hf' : IsLimit kf')
(φ : Arrow.mk f ≅ Arrow.mk f') : kf.pt ≅ kf'.pt where
hom := kf.mapOfIsLimit hf' φ.hom
inv := kf'.mapOfIsLimit hf φ.inv
hom_inv_id := Fork.IsLimit.hom_ext hf (by simp)
inv_hom_id := Fork.IsLimit.hom_ext hf' (by simp)
end KernelFork
section
variable [HasKernel f]
/-- The kernel of a morphism, expressed as the equalizer with the 0 morphism. -/
abbrev kernel (f : X ⟶ Y) [HasKernel f] : C :=
equalizer f 0
/-- The map from `kernel f` into the source of `f`. -/
abbrev kernel.ι : kernel f ⟶ X :=
equalizer.ι f 0
@[simp]
theorem equalizer_as_kernel : equalizer.ι f 0 = kernel.ι f := rfl
@[reassoc (attr := simp)]
theorem kernel.condition : kernel.ι f ≫ f = 0 :=
KernelFork.condition _
/-- The kernel built from `kernel.ι f` is limiting. -/
def kernelIsKernel : IsLimit (Fork.ofι (kernel.ι f) ((kernel.condition f).trans comp_zero.symm)) :=
IsLimit.ofIsoLimit (limit.isLimit _) (Fork.ext (Iso.refl _) (by simp))
/-- Given any morphism `k : W ⟶ X` satisfying `k ≫ f = 0`, `k` factors through `kernel.ι f`
via `kernel.lift : W ⟶ kernel f`. -/
abbrev kernel.lift {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : W ⟶ kernel f :=
(kernelIsKernel f).lift (KernelFork.ofι k h)
@[reassoc (attr := simp)]
theorem kernel.lift_ι {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : kernel.lift f k h ≫ kernel.ι f = k :=
(kernelIsKernel f).fac (KernelFork.ofι k h) WalkingParallelPair.zero
@[simp]
theorem kernel.lift_zero {W : C} {h} : kernel.lift f (0 : W ⟶ X) h = 0 := by
ext; simp
instance kernel.lift_mono {W : C} (k : W ⟶ X) (h : k ≫ f = 0) [Mono k] : Mono (kernel.lift f k h) :=
⟨fun {Z} g g' w => by
replace w := w =≫ kernel.ι f
simp only [Category.assoc, kernel.lift_ι] at w
exact (cancel_mono k).1 w⟩
/-- Any morphism `k : W ⟶ X` satisfying `k ≫ f = 0` induces a morphism `l : W ⟶ kernel f` such that
`l ≫ kernel.ι f = k`. -/
def kernel.lift' {W : C} (k : W ⟶ X) (h : k ≫ f = 0) : { l : W ⟶ kernel f // l ≫ kernel.ι f = k } :=
⟨kernel.lift f k h, kernel.lift_ι _ _ _⟩
/-- A commuting square induces a morphism of kernels. -/
abbrev kernel.map {X' Y' : C} (f' : X' ⟶ Y') [HasKernel f'] (p : X ⟶ X') (q : Y ⟶ Y')
(w : f ≫ q = p ≫ f') : kernel f ⟶ kernel f' :=
kernel.lift f' (kernel.ι f ≫ p) (by simp [← w])
/-- Given a commutative diagram
X --f--> Y --g--> Z
| | |
| | |
v v v
X' -f'-> Y' -g'-> Z'
with horizontal arrows composing to zero,
then we obtain a commutative square
X ---> kernel g
| |
| | kernel.map
| |
v v
X' --> kernel g'
-/
theorem kernel.lift_map {X Y Z X' Y' Z' : C} (f : X ⟶ Y) (g : Y ⟶ Z) [HasKernel g] (w : f ≫ g = 0)
(f' : X' ⟶ Y') (g' : Y' ⟶ Z') [HasKernel g'] (w' : f' ≫ g' = 0) (p : X ⟶ X') (q : Y ⟶ Y')
(r : Z ⟶ Z') (h₁ : f ≫ q = p ≫ f') (h₂ : g ≫ r = q ≫ g') :
kernel.lift g f w ≫ kernel.map g g' q r h₂ = p ≫ kernel.lift g' f' w' := by
ext; simp [h₁]
/-- A commuting square of isomorphisms induces an isomorphism of kernels. -/
@[simps]
def kernel.mapIso {X' Y' : C} (f' : X' ⟶ Y') [HasKernel f'] (p : X ≅ X') (q : Y ≅ Y')
(w : f ≫ q.hom = p.hom ≫ f') : kernel f ≅ kernel f' where
hom := kernel.map f f' p.hom q.hom w
inv :=
kernel.map f' f p.inv q.inv
(by
refine (cancel_mono q.hom).1 ?_
simp [w])
/-- Every kernel of the zero morphism is an isomorphism -/
instance kernel.ι_zero_isIso : IsIso (kernel.ι (0 : X ⟶ Y)) :=
equalizer.ι_of_self _
theorem eq_zero_of_epi_kernel [Epi (kernel.ι f)] : f = 0 :=
(cancel_epi (kernel.ι f)).1 (by simp)
/-- The kernel of a zero morphism is isomorphic to the source. -/
def kernelZeroIsoSource : kernel (0 : X ⟶ Y) ≅ X :=
equalizer.isoSourceOfSelf 0
@[simp]
theorem kernelZeroIsoSource_hom : kernelZeroIsoSource.hom = kernel.ι (0 : X ⟶ Y) := rfl
@[simp]
theorem kernelZeroIsoSource_inv :
kernelZeroIsoSource.inv = kernel.lift (0 : X ⟶ Y) (𝟙 X) (by simp) := by
ext
simp [kernelZeroIsoSource]
/-- If two morphisms are known to be equal, then their kernels are isomorphic. -/
def kernelIsoOfEq {f g : X ⟶ Y} [HasKernel f] [HasKernel g] (h : f = g) : kernel f ≅ kernel g :=
HasLimit.isoOfNatIso (by rw [h])
@[simp]
theorem kernelIsoOfEq_refl {h : f = f} : kernelIsoOfEq h = Iso.refl (kernel f) := by
ext
simp [kernelIsoOfEq]
/- Porting note: induction on Eq is trying instantiate another g... -/
@[reassoc (attr := simp)]
theorem kernelIsoOfEq_hom_comp_ι {f g : X ⟶ Y} [HasKernel f] [HasKernel g] (h : f = g) :
(kernelIsoOfEq h).hom ≫ kernel.ι g = kernel.ι f := by
cases h; simp
@[reassoc (attr := simp)]
theorem kernelIsoOfEq_inv_comp_ι {f g : X ⟶ Y} [HasKernel f] [HasKernel g] (h : f = g) :
(kernelIsoOfEq h).inv ≫ kernel.ι _ = kernel.ι _ := by
cases h; simp
@[reassoc (attr := simp)]
theorem lift_comp_kernelIsoOfEq_hom {Z} {f g : X ⟶ Y} [HasKernel f] [HasKernel g] (h : f = g)
(e : Z ⟶ X) (he) :
kernel.lift _ e he ≫ (kernelIsoOfEq h).hom = kernel.lift _ e (by simp [← h, he]) := by
cases h; simp
@[reassoc (attr := simp)]
theorem lift_comp_kernelIsoOfEq_inv {Z} {f g : X ⟶ Y} [HasKernel f] [HasKernel g] (h : f = g)
(e : Z ⟶ X) (he) :
kernel.lift _ e he ≫ (kernelIsoOfEq h).inv = kernel.lift _ e (by simp [h, he]) := by
cases h; simp
@[simp]
theorem kernelIsoOfEq_trans {f g h : X ⟶ Y} [HasKernel f] [HasKernel g] [HasKernel h] (w₁ : f = g)
(w₂ : g = h) : kernelIsoOfEq w₁ ≪≫ kernelIsoOfEq w₂ = kernelIsoOfEq (w₁.trans w₂) := by
cases w₁; cases w₂; ext; simp [kernelIsoOfEq]
variable {f}
theorem kernel_not_epi_of_nonzero (w : f ≠ 0) : ¬Epi (kernel.ι f) := fun _ =>
w (eq_zero_of_epi_kernel f)
theorem kernel_not_iso_of_nonzero (w : f ≠ 0) : IsIso (kernel.ι f) → False := fun _ =>
kernel_not_epi_of_nonzero w inferInstance
instance hasKernel_comp_mono {X Y Z : C} (f : X ⟶ Y) [HasKernel f] (g : Y ⟶ Z) [Mono g] :
HasKernel (f ≫ g) :=
⟨⟨{ cone := _
isLimit := isKernelCompMono (limit.isLimit _) g rfl }⟩⟩
/-- When `g` is a monomorphism, the kernel of `f ≫ g` is isomorphic to the kernel of `f`.
-/
@[simps]
def kernelCompMono {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) [HasKernel f] [Mono g] :
kernel (f ≫ g) ≅ kernel f where
hom :=
kernel.lift _ (kernel.ι _)
(by
rw [← cancel_mono g]
simp)
inv := kernel.lift _ (kernel.ι _) (by simp)
#adaptation_note /-- nightly-2024-04-01
The `symm` wasn't previously necessary. -/
instance hasKernel_iso_comp {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) [IsIso f] [HasKernel g] :
HasKernel (f ≫ g) where
exists_limit :=
⟨{ cone := KernelFork.ofι (kernel.ι g ≫ inv f) (by simp)
isLimit := isLimitAux _ (fun s => kernel.lift _ (s.ι ≫ f) (by simp))
(by simp) fun s m w => by
simp_rw [← w]
symm
apply equalizer.hom_ext
simp }⟩
/-- When `f` is an isomorphism, the kernel of `f ≫ g` is isomorphic to the kernel of `g`.
-/
@[simps]
def kernelIsIsoComp {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) [IsIso f] [HasKernel g] :
kernel (f ≫ g) ≅ kernel g where
hom := kernel.lift _ (kernel.ι _ ≫ f) (by simp)
inv := kernel.lift _ (kernel.ι _ ≫ inv f) (by simp)
/-- Equal maps have isomorphic kernels. -/
@[simps] def kernel.congr {X Y : C} (f g : X ⟶ Y) [HasKernel f] [HasKernel g]
(h : f = g) : kernel f ≅ kernel g where
hom := kernel.lift _ (kernel.ι f) (by simp [← h])
inv := kernel.lift _ (kernel.ι g) (by simp [h])
end
section HasZeroObject
variable [HasZeroObject C]
open ZeroObject
/-- The morphism from the zero object determines a cone on a kernel diagram -/
def kernel.zeroKernelFork : KernelFork f where
pt := 0
π := { app := fun _ => 0 }
/-- The map from the zero object is a kernel of a monomorphism -/
def kernel.isLimitConeZeroCone [Mono f] : IsLimit (kernel.zeroKernelFork f) :=
Fork.IsLimit.mk _ (fun _ => 0)
(fun s => by
rw [zero_comp]
refine (zero_of_comp_mono f ?_).symm
exact KernelFork.condition _)
fun _ _ _ => zero_of_to_zero _
/-- The kernel of a monomorphism is isomorphic to the zero object -/
def kernel.ofMono [HasKernel f] [Mono f] : kernel f ≅ 0 :=
Functor.mapIso (Cones.forget _) <|
IsLimit.uniqueUpToIso (limit.isLimit (parallelPair f 0)) (kernel.isLimitConeZeroCone f)
/-- The kernel morphism of a monomorphism is a zero morphism -/
theorem kernel.ι_of_mono [HasKernel f] [Mono f] : kernel.ι f = 0 :=
zero_of_source_iso_zero _ (kernel.ofMono f)
/-- If `g ≫ f = 0` implies `g = 0` for all `g`, then `0 : 0 ⟶ X` is a kernel of `f`. -/
def zeroKernelOfCancelZero {X Y : C} (f : X ⟶ Y)
(hf : ∀ (Z : C) (g : Z ⟶ X) (_ : g ≫ f = 0), g = 0) :
IsLimit (KernelFork.ofι (0 : 0 ⟶ X) (show 0 ≫ f = 0 by simp)) :=
Fork.IsLimit.mk _ (fun _ => 0) (fun s => by rw [hf _ _ (KernelFork.condition s), zero_comp])
fun s m _ => by dsimp; apply HasZeroObject.to_zero_ext
end HasZeroObject
section Transport
/-- If `i` is an isomorphism such that `l ≫ i.hom = f`, any kernel of `f` is a kernel of `l`. -/
def IsKernel.ofCompIso {Z : C} (l : X ⟶ Z) (i : Z ≅ Y) (h : l ≫ i.hom = f) {s : KernelFork f}
(hs : IsLimit s) :
IsLimit
(KernelFork.ofι (Fork.ι s) <| show Fork.ι s ≫ l = 0 by simp [← i.comp_inv_eq.2 h.symm]) :=
Fork.IsLimit.mk _ (fun s => hs.lift <| KernelFork.ofι (Fork.ι s) <| by simp [← h])
(fun s => by simp) fun s m h => by
apply Fork.IsLimit.hom_ext hs
simpa using h
/-- If `i` is an isomorphism such that `l ≫ i.hom = f`, the kernel of `f` is a kernel of `l`. -/
def kernel.ofCompIso [HasKernel f] {Z : C} (l : X ⟶ Z) (i : Z ≅ Y) (h : l ≫ i.hom = f) :
IsLimit
(KernelFork.ofι (kernel.ι f) <| show kernel.ι f ≫ l = 0 by simp [← i.comp_inv_eq.2 h.symm]) :=
IsKernel.ofCompIso f l i h <| limit.isLimit _
/-- If `s` is any limit kernel cone over `f` and if `i` is an isomorphism such that
`i.hom ≫ s.ι = l`, then `l` is a kernel of `f`. -/
def IsKernel.isoKernel {Z : C} (l : Z ⟶ X) {s : KernelFork f} (hs : IsLimit s) (i : Z ≅ s.pt)
(h : i.hom ≫ Fork.ι s = l) : IsLimit (KernelFork.ofι l <| show l ≫ f = 0 by simp [← h]) :=
IsLimit.ofIsoLimit hs <|
Cones.ext i.symm fun j => by
cases j
· exact (Iso.eq_inv_comp i).2 h
· dsimp; rw [← h]; simp
/-- If `i` is an isomorphism such that `i.hom ≫ kernel.ι f = l`, then `l` is a kernel of `f`. -/
def kernel.isoKernel [HasKernel f] {Z : C} (l : Z ⟶ X) (i : Z ≅ kernel f)
(h : i.hom ≫ kernel.ι f = l) :
IsLimit (@KernelFork.ofι _ _ _ _ _ f _ l <| by simp [← h]) :=
IsKernel.isoKernel f l (limit.isLimit _) i h
end Transport
section
variable (X Y)
/-- The kernel morphism of a zero morphism is an isomorphism -/
theorem kernel.ι_of_zero : IsIso (kernel.ι (0 : X ⟶ Y)) :=
equalizer.ι_of_self _
end
section
/-- A cokernel cofork is just a cofork where the second morphism is a zero morphism. -/
abbrev CokernelCofork :=
Cofork f 0
variable {f}
@[reassoc (attr := simp)]
theorem CokernelCofork.condition (s : CokernelCofork f) : f ≫ s.π = 0 := by
rw [Cofork.condition, zero_comp]
theorem CokernelCofork.π_eq_zero (s : CokernelCofork f) : s.ι.app zero = 0 := by
simp [Cofork.app_zero_eq_comp_π_right]
/-- A morphism `π` satisfying `f ≫ π = 0` determines a cokernel cofork on `f`. -/
abbrev CokernelCofork.ofπ {Z : C} (π : Y ⟶ Z) (w : f ≫ π = 0) : CokernelCofork f :=
Cofork.ofπ π <| by rw [w, zero_comp]
@[simp]
theorem CokernelCofork.π_ofπ {X Y P : C} (f : X ⟶ Y) (π : Y ⟶ P) (w : f ≫ π = 0) :
Cofork.π (CokernelCofork.ofπ π w) = π :=
rfl
/-- Every cokernel cofork `s` is isomorphic (actually, equal) to `cofork.ofπ (cofork.π s) _`. -/
def isoOfπ (s : Cofork f 0) : s ≅ Cofork.ofπ (Cofork.π s) (Cofork.condition s) :=
Cocones.ext (Iso.refl _) fun j => by cases j <;> aesop_cat
/-- If `π = π'`, then `CokernelCofork.of_π π _` and `CokernelCofork.of_π π' _` are isomorphic. -/
def ofπCongr {P : C} {π π' : Y ⟶ P} {w : f ≫ π = 0} (h : π = π') :
CokernelCofork.ofπ π w ≅ CokernelCofork.ofπ π' (by rw [← h, w]) :=
Cocones.ext (Iso.refl _) fun j => by cases j <;> aesop_cat
/-- If `s` is a colimit cokernel cofork, then every `k : Y ⟶ W` satisfying `f ≫ k = 0` induces
`l : s.X ⟶ W` such that `cofork.π s ≫ l = k`. -/
def CokernelCofork.IsColimit.desc' {s : CokernelCofork f} (hs : IsColimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = 0) : { l : s.pt ⟶ W // Cofork.π s ≫ l = k } :=
⟨hs.desc <| CokernelCofork.ofπ _ h, hs.fac _ _⟩
/-- This is a slightly more convenient method to verify that a cokernel cofork is a colimit cocone.
It only asks for a proof of facts that carry any mathematical content -/
def isColimitAux (t : CokernelCofork f) (desc : ∀ s : CokernelCofork f, t.pt ⟶ s.pt)
(fac : ∀ s : CokernelCofork f, t.π ≫ desc s = s.π)
(uniq : ∀ (s : CokernelCofork f) (m : t.pt ⟶ s.pt) (_ : t.π ≫ m = s.π), m = desc s) :
IsColimit t :=
{ desc
fac := fun s j => by
cases j
· simp
· exact fac s
uniq := fun s m w => uniq s m (w Limits.WalkingParallelPair.one) }
/-- This is a more convenient formulation to show that a `CokernelCofork` constructed using
`CokernelCofork.ofπ` is a limit cone.
-/
def CokernelCofork.IsColimit.ofπ {Z : C} (g : Y ⟶ Z) (eq : f ≫ g = 0)
(desc : ∀ {Z' : C} (g' : Y ⟶ Z') (_ : f ≫ g' = 0), Z ⟶ Z')
(fac : ∀ {Z' : C} (g' : Y ⟶ Z') (eq' : f ≫ g' = 0), g ≫ desc g' eq' = g')
(uniq :
∀ {Z' : C} (g' : Y ⟶ Z') (eq' : f ≫ g' = 0) (m : Z ⟶ Z') (_ : g ≫ m = g'), m = desc g' eq') :
IsColimit (CokernelCofork.ofπ g eq) :=
isColimitAux _ (fun s => desc s.π s.condition) (fun s => fac s.π s.condition) fun s =>
uniq s.π s.condition
/-- This is a more convenient formulation to show that a `CokernelCofork` of the form
`CokernelCofork.ofπ p _` is a colimit cocone when we know that `p` is an epimorphism. -/
def CokernelCofork.IsColimit.ofπ' {X Y Q : C} {f : X ⟶ Y} (p : Y ⟶ Q) (w : f ≫ p = 0)
(h : ∀ {A : C} (k : Y ⟶ A) (_ : f ≫ k = 0), { l : Q ⟶ A // p ≫ l = k}) [hp : Epi p] :
IsColimit (CokernelCofork.ofπ p w) :=
ofπ _ _ (fun {_} k hk => (h k hk).1) (fun {_} k hk => (h k hk).2) (fun {A} k hk m hm => by
rw [← cancel_epi p, (h k hk).2, hm])
/-- Every cokernel of `f` induces a cokernel of `g ≫ f` if `g` is epi. -/
def isCokernelEpiComp {c : CokernelCofork f} (i : IsColimit c) {W} (g : W ⟶ X) [hg : Epi g]
{h : W ⟶ Y} (hh : h = g ≫ f) :
IsColimit (CokernelCofork.ofπ c.π (by rw [hh]; simp) : CokernelCofork h) :=
Cofork.IsColimit.mk' _ fun s =>
let s' : CokernelCofork f :=
Cofork.ofπ s.π
(by
apply hg.left_cancellation
rw [← Category.assoc, ← hh, s.condition]
simp)
let l := CokernelCofork.IsColimit.desc' i s'.π s'.condition
⟨l.1, l.2, fun hm => by
apply Cofork.IsColimit.hom_ext i; rw [Cofork.π_ofπ] at hm; rw [hm]; exact l.2.symm⟩
@[simp]
theorem isCokernelEpiComp_desc {c : CokernelCofork f} (i : IsColimit c) {W} (g : W ⟶ X) [hg : Epi g]
{h : W ⟶ Y} (hh : h = g ≫ f) (s : CokernelCofork h) :
(isCokernelEpiComp i g hh).desc s =
i.desc
(Cofork.ofπ s.π
(by
rw [← cancel_epi g, ← Category.assoc, ← hh]
simp)) :=
rfl
/-- Every cokernel of `g ≫ f` is also a cokernel of `f`, as long as `f ≫ c.π` vanishes. -/
def isCokernelOfComp {W : C} (g : W ⟶ X) (h : W ⟶ Y) {c : CokernelCofork h} (i : IsColimit c)
(hf : f ≫ c.π = 0) (hfg : g ≫ f = h) : IsColimit (CokernelCofork.ofπ c.π hf) :=
Cofork.IsColimit.mk _ (fun s => i.desc (CokernelCofork.ofπ s.π (by simp [← hfg])))
(fun s => by simp only [CokernelCofork.π_ofπ, Cofork.IsColimit.π_desc]) fun s m h => by
apply Cofork.IsColimit.hom_ext i
simpa using h
/-- `Y` identifies to the cokernel of a zero map `X ⟶ Y`. -/
def CokernelCofork.IsColimit.ofId {X Y : C} (f : X ⟶ Y) (hf : f = 0) :
IsColimit (CokernelCofork.ofπ (𝟙 Y) (show f ≫ 𝟙 Y = 0 by rw [hf, zero_comp])) :=
CokernelCofork.IsColimit.ofπ _ _ (fun x _ => x) (fun _ _ => Category.id_comp _)
(fun _ _ _ hb => by simp only [← hb, Category.id_comp])
/-- Any zero object identifies to the cokernel of a given epimorphisms. -/
def CokernelCofork.IsColimit.ofEpiOfIsZero {X Y : C} {f : X ⟶ Y} (c : CokernelCofork f)
(hf : Epi f) (h : IsZero c.pt) : IsColimit c :=
isColimitAux _ (fun _ => 0) (fun s => by rw [comp_zero, ← cancel_epi f, comp_zero, s.condition])
(fun _ _ _ => h.eq_of_src _ _)
lemma CokernelCofork.IsColimit.isIso_π {X Y : C} {f : X ⟶ Y} (c : CokernelCofork f)
(hc : IsColimit c) (hf : f = 0) : IsIso c.π := by
let e : c.pt ≅ Y := IsColimit.coconePointUniqueUpToIso hc
(CokernelCofork.IsColimit.ofId (f : X ⟶ Y) hf)
have eq : c.π ≫ e.hom = 𝟙 Y := Cofork.IsColimit.π_desc hc
haveI : IsIso (c.π ≫ e.hom) := by
rw [eq]
dsimp
infer_instance
exact IsIso.of_isIso_comp_right c.π e.hom
/-- If `c` is a colimit cokernel cofork for `f : X ⟶ Y`, `e : Y ≅ Y'` and `f' : X' ⟶ Y` is a
morphism, then there is a colimit cokernel cofork for `f'` with the same point as `c` if for any
morphism `φ : Y ⟶ W`, there is an equivalence `f ≫ φ = 0 ↔ f' ≫ e.hom ≫ φ = 0`. -/
def CokernelCofork.isColimitOfIsColimitOfIff {X Y : C} {f : X ⟶ Y} {c : CokernelCofork f}
(hc : IsColimit c) {X' Y' : C} (f' : X' ⟶ Y') (e : Y' ≅ Y)
(iff : ∀ ⦃W : C⦄ (φ : Y ⟶ W), f ≫ φ = 0 ↔ f' ≫ e.hom ≫ φ = 0) :
IsColimit (CokernelCofork.ofπ (f := f') (e.hom ≫ c.π) (by simp [← iff])) :=
CokernelCofork.IsColimit.ofπ _ _
(fun s hs ↦ hc.desc (CokernelCofork.ofπ (π := e.inv ≫ s)
(by rw [iff, e.hom_inv_id_assoc, hs])))
(fun s hs ↦ by simp [← cancel_epi e.inv])
(fun s hs m hm ↦ Cofork.IsColimit.hom_ext hc (by simpa [← cancel_epi e.hom] using hm))
/-- If `c` is a colimit cokernel cofork for `f : X ⟶ Y`, and `f' : X' ⟶ Y is another
morphism, then there is a colimit cokernel cofork for `f'` with the same point as `c` if for any
morphism `φ : Y ⟶ W`, there is an equivalence `f ≫ φ = 0 ↔ f' ≫ φ = 0`. -/
def CokernelCofork.isColimitOfIsColimitOfIff' {X Y : C} {f : X ⟶ Y} {c : CokernelCofork f}
(hc : IsColimit c) {X' : C} (f' : X' ⟶ Y)
(iff : ∀ ⦃W : C⦄ (φ : Y ⟶ W), f ≫ φ = 0 ↔ f' ≫ φ = 0) :
IsColimit (CokernelCofork.ofπ (f := f') c.π (by simp [← iff])) :=
IsColimit.ofIsoColimit (isColimitOfIsColimitOfIff hc f' (Iso.refl _) (by simpa using iff))
(Cofork.ext (Iso.refl _))
end
namespace CokernelCofork
variable {f} {X' Y' : C} {f' : X' ⟶ Y'}
/-- The morphism between points of cokernel coforks induced by a morphism
in the category of arrows. -/
def mapOfIsColimit {cc : CokernelCofork f} (hf : IsColimit cc) (cc' : CokernelCofork f')
(φ : Arrow.mk f ⟶ Arrow.mk f') : cc.pt ⟶ cc'.pt :=
hf.desc (CokernelCofork.ofπ (φ.right ≫ cc'.π) (by
erw [← Arrow.w_assoc φ, condition, comp_zero]))
@[reassoc (attr := simp)]
lemma π_mapOfIsColimit {cc : CokernelCofork f} (hf : IsColimit cc) (cc' : CokernelCofork f')
(φ : Arrow.mk f ⟶ Arrow.mk f') :
cc.π ≫ mapOfIsColimit hf cc' φ = φ.right ≫ cc'.π :=
hf.fac _ _
/-- The isomorphism between points of limit cokernel coforks induced by an isomorphism
in the category of arrows. -/
@[simps]
def mapIsoOfIsColimit {cc : CokernelCofork f} {cc' : CokernelCofork f'}
(hf : IsColimit cc) (hf' : IsColimit cc')
(φ : Arrow.mk f ≅ Arrow.mk f') : cc.pt ≅ cc'.pt where
hom := mapOfIsColimit hf cc' φ.hom
inv := mapOfIsColimit hf' cc φ.inv
hom_inv_id := Cofork.IsColimit.hom_ext hf (by simp)
inv_hom_id := Cofork.IsColimit.hom_ext hf' (by simp)
end CokernelCofork
section
variable [HasCokernel f]
/-- The cokernel of a morphism, expressed as the coequalizer with the 0 morphism. -/
abbrev cokernel : C :=
coequalizer f 0
/-- The map from the target of `f` to `cokernel f`. -/
abbrev cokernel.π : Y ⟶ cokernel f :=
coequalizer.π f 0
@[simp]
theorem coequalizer_as_cokernel : coequalizer.π f 0 = cokernel.π f :=
rfl
@[reassoc (attr := simp)]
theorem cokernel.condition : f ≫ cokernel.π f = 0 :=
CokernelCofork.condition _
/-- The cokernel built from `cokernel.π f` is colimiting. -/
def cokernelIsCokernel :
IsColimit (Cofork.ofπ (cokernel.π f) ((cokernel.condition f).trans zero_comp.symm)) :=
IsColimit.ofIsoColimit (colimit.isColimit _) (Cofork.ext (Iso.refl _))
/-- Given any morphism `k : Y ⟶ W` such that `f ≫ k = 0`, `k` factors through `cokernel.π f`
via `cokernel.desc : cokernel f ⟶ W`. -/
abbrev cokernel.desc {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) : cokernel f ⟶ W :=
(cokernelIsCokernel f).desc (CokernelCofork.ofπ k h)
@[reassoc (attr := simp)]
theorem cokernel.π_desc {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) :
cokernel.π f ≫ cokernel.desc f k h = k :=
(cokernelIsCokernel f).fac (CokernelCofork.ofπ k h) WalkingParallelPair.one
-- Porting note: added to ease the port of `Abelian.Exact`
@[reassoc (attr := simp)]
lemma colimit_ι_zero_cokernel_desc {C : Type*} [Category C]
[HasZeroMorphisms C] {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) (h : f ≫ g = 0) [HasCokernel f] :
colimit.ι (parallelPair f 0) WalkingParallelPair.zero ≫ cokernel.desc f g h = 0 := by
rw [(colimit.w (parallelPair f 0) WalkingParallelPairHom.left).symm]
simp
@[simp]
theorem cokernel.desc_zero {W : C} {h} : cokernel.desc f (0 : Y ⟶ W) h = 0 := by
ext; simp
instance cokernel.desc_epi {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) [Epi k] :
Epi (cokernel.desc f k h) :=
⟨fun {Z} g g' w => by
replace w := cokernel.π f ≫= w
simp only [cokernel.π_desc_assoc] at w
exact (cancel_epi k).1 w⟩
/-- Any morphism `k : Y ⟶ W` satisfying `f ≫ k = 0` induces `l : cokernel f ⟶ W` such that
`cokernel.π f ≫ l = k`. -/
def cokernel.desc' {W : C} (k : Y ⟶ W) (h : f ≫ k = 0) :
{ l : cokernel f ⟶ W // cokernel.π f ≫ l = k } :=
⟨cokernel.desc f k h, cokernel.π_desc _ _ _⟩
/-- A commuting square induces a morphism of cokernels. -/
abbrev cokernel.map {X' Y' : C} (f' : X' ⟶ Y') [HasCokernel f'] (p : X ⟶ X') (q : Y ⟶ Y')
(w : f ≫ q = p ≫ f') : cokernel f ⟶ cokernel f' :=
cokernel.desc f (q ≫ cokernel.π f') (by
| have : f ≫ q ≫ π f' = p ≫ f' ≫ π f' := by
simp only [← Category.assoc]
apply congrArg (· ≫ π f') w
simp [this])
/-- Given a commutative diagram
| Mathlib/CategoryTheory/Limits/Shapes/Kernels.lean | 784 | 789 |
/-
Copyright (c) 2023 Moritz Firsching. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Moritz Firsching
-/
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.Polynomial.Monic
import Mathlib.Data.Nat.Factorial.Basic
import Mathlib.LinearAlgebra.Vandermonde
import Mathlib.RingTheory.Polynomial.Pochhammer
/-!
# Superfactorial
This file defines the [superfactorial](https://en.wikipedia.org/wiki/Superfactorial)
`sf n = 1! * 2! * 3! * ... * n!`.
## Main declarations
* `Nat.superFactorial`: The superfactorial, denoted by `sf`.
-/
namespace Nat
/-- `Nat.superFactorial n` is the superfactorial of `n`. -/
def superFactorial : ℕ → ℕ
| 0 => 1
| succ n => factorial n.succ * superFactorial n
/-- `sf` notation for superfactorial -/
scoped notation "sf" n:60 => Nat.superFactorial n
section SuperFactorial
@[simp]
theorem superFactorial_zero : sf 0 = 1 :=
rfl
theorem superFactorial_succ (n : ℕ) : (sf n.succ) = (n + 1)! * sf n :=
rfl
@[simp]
theorem superFactorial_one : sf 1 = 1 :=
rfl
@[simp]
theorem superFactorial_two : sf 2 = 2 :=
rfl
open Finset
@[simp]
theorem prod_Icc_factorial : ∀ n : ℕ, ∏ x ∈ Icc 1 n, x ! = sf n
| 0 => rfl
| n + 1 => by
rw [← Ico_succ_right 1 n.succ, prod_Ico_succ_top <| Nat.succ_le_succ <| Nat.zero_le n,
Nat.factorial_succ, Ico_succ_right 1 n, prod_Icc_factorial n, superFactorial, factorial,
Nat.succ_eq_add_one, mul_comm]
@[simp]
theorem prod_range_factorial_succ (n : ℕ) : ∏ x ∈ range n, (x + 1)! = sf n :=
(prod_Icc_factorial n) ▸ range_eq_Ico ▸ Finset.prod_Ico_add' _ _ _ _
@[simp]
theorem prod_range_succ_factorial : ∀ n : ℕ, ∏ x ∈ range (n + 1), x ! = sf n
| 0 => rfl
| n + 1 => by
rw [prod_range_succ, prod_range_succ_factorial n, mul_comm, superFactorial]
variable {R : Type*} [CommRing R]
theorem det_vandermonde_id_eq_superFactorial (n : ℕ) :
(Matrix.vandermonde (fun (i : Fin (n + 1)) ↦ (i : R))).det = Nat.superFactorial n := by
induction' n with n hn
· simp [Matrix.det_vandermonde]
· rw [Nat.superFactorial, Matrix.det_vandermonde, Fin.prod_univ_succAbove _ 0]
push_cast
congr
· simp only [Fin.val_zero, Nat.cast_zero, sub_zero]
norm_cast
simp [Fin.prod_univ_eq_prod_range (fun i ↦ (↑i + 1)) (n + 1)]
· rw [Matrix.det_vandermonde] at hn
simp [hn]
theorem superFactorial_two_mul : ∀ n : ℕ,
sf (2 * n) = (∏ i ∈ range n, (2 * i + 1) !) ^ 2 * 2 ^ n * n !
| 0 => rfl
| (n + 1) => by
simp only [prod_range_succ, mul_pow, mul_add, mul_one, superFactorial_succ,
superFactorial_two_mul n, factorial_succ]
ring
theorem superFactorial_four_mul (n : ℕ) :
sf (4 * n) = ((∏ i ∈ range (2 * n), (2 * i + 1) !) * 2 ^ n) ^ 2 * (2 * n) ! :=
calc
sf (4 * n) = (∏ i ∈ range (2 * n), (2 * i + 1) !) ^ 2 * 2 ^ (2 * n) * (2 * n) ! := by
rw [← superFactorial_two_mul, ← mul_assoc, Nat.mul_two]
_ = ((∏ i ∈ range (2 * n), (2 * i + 1) !) * 2 ^ n) ^ 2 * (2 * n) ! := by
rw [pow_mul', mul_pow]
private theorem matrixOf_eval_descPochhammer_eq_mul_matrixOf_choose {n : ℕ} (v : Fin n → ℕ) :
(Matrix.of (fun (i j : Fin n) => (descPochhammer ℤ j).eval (v i : ℤ))).det =
(∏ i : Fin n, Nat.factorial i) *
(Matrix.of (fun (i j : Fin n) => (Nat.choose (v i) (j : ℕ) : ℤ))).det := by
convert Matrix.det_mul_row (fun (i : Fin n) => ((Nat.factorial (i : ℕ)) : ℤ)) _
· rw [Matrix.of_apply, descPochhammer_eval_eq_descFactorial ℤ _ _]
congr
exact Nat.descFactorial_eq_factorial_mul_choose _ _
· rw [Nat.cast_prod]
theorem superFactorial_dvd_vandermonde_det {n : ℕ} (v : Fin (n + 1) → ℤ) :
↑(Nat.superFactorial n) ∣ (Matrix.vandermonde v).det := by
| let m := inf' univ ⟨0, mem_univ _⟩ v
let w' := fun i ↦ (v i - m).toNat
have hw' : ∀ i, (w' i : ℤ) = v i - m := fun i ↦ Int.toNat_sub_of_le (inf'_le _ (mem_univ _))
have h := Matrix.det_eval_matrixOfPolynomials_eq_det_vandermonde (fun i ↦ ↑(w' i))
(fun i => descPochhammer ℤ i)
(fun i => descPochhammer_natDegree ℤ i)
(fun i => monic_descPochhammer ℤ i)
conv_lhs at h => simp only [hw', Matrix.det_vandermonde_sub]
use (Matrix.of (fun (i j : Fin (n + 1)) => (Nat.choose (w' i) (j : ℕ) : ℤ))).det
simp [h, matrixOf_eval_descPochhammer_eq_mul_matrixOf_choose w', Fin.prod_univ_eq_prod_range]
end SuperFactorial
| Mathlib/Data/Nat/Factorial/SuperFactorial.lean | 114 | 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
-/
import Mathlib.MeasureTheory.MeasurableSpace.MeasurablyGenerated
import Mathlib.MeasureTheory.Measure.NullMeasurable
import Mathlib.Order.Interval.Set.Monotone
/-!
# Measure spaces
The definition of a measure and a measure space are in `MeasureTheory.MeasureSpaceDef`, with
only a few basic properties. This file provides many more properties of these objects.
This separation allows the measurability tactic to import only the file `MeasureSpaceDef`, and to
be available in `MeasureSpace` (through `MeasurableSpace`).
Given a measurable space `α`, a measure on `α` is a function that sends measurable sets to the
extended nonnegative reals that satisfies the following conditions:
1. `μ ∅ = 0`;
2. `μ` is countably additive. This means that the measure of a countable union of pairwise disjoint
sets is equal to the measure of the individual sets.
Every measure can be canonically extended to an outer measure, so that it assigns values to
all subsets, not just the measurable subsets. On the other hand, a measure that is countably
additive on measurable sets can be restricted to measurable sets to obtain a measure.
In this file a measure is defined to be an outer measure that is countably additive on
measurable sets, with the additional assumption that the outer measure is the canonical
extension of the restricted measure.
Measures on `α` form a complete lattice, and are closed under scalar multiplication with `ℝ≥0∞`.
Given a measure, the null sets are the sets where `μ s = 0`, where `μ` denotes the corresponding
outer measure (so `s` might not be measurable). We can then define the completion of `μ` as the
measure on the least `σ`-algebra that also contains all null sets, by defining the measure to be `0`
on the null sets.
## Main statements
* `completion` is the completion of a measure to all null measurable sets.
* `Measure.ofMeasurable` and `OuterMeasure.toMeasure` are two important ways to define a measure.
## Implementation notes
Given `μ : Measure α`, `μ s` is the value of the *outer measure* applied to `s`.
This conveniently allows us to apply the measure to sets without proving that they are measurable.
We get countable subadditivity for all sets, but only countable additivity for measurable sets.
You often don't want to define a measure via its constructor.
Two ways that are sometimes more convenient:
* `Measure.ofMeasurable` is a way to define a measure by only giving its value on measurable sets
and proving the properties (1) and (2) mentioned above.
* `OuterMeasure.toMeasure` is a way of obtaining a measure from an outer measure by showing that
all measurable sets in the measurable space are Carathéodory measurable.
To prove that two measures are equal, there are multiple options:
* `ext`: two measures are equal if they are equal on all measurable sets.
* `ext_of_generateFrom_of_iUnion`: two measures are equal if they are equal on a π-system generating
the measurable sets, if the π-system contains a spanning increasing sequence of sets where the
measures take finite value (in particular the measures are σ-finite). This is a special case of
the more general `ext_of_generateFrom_of_cover`
* `ext_of_generate_finite`: two finite measures are equal if they are equal on a π-system
generating the measurable sets. This is a special case of `ext_of_generateFrom_of_iUnion` using
`C ∪ {univ}`, but is easier to work with.
A `MeasureSpace` is a class that is a measurable space with a canonical measure.
The measure is denoted `volume`.
## References
* <https://en.wikipedia.org/wiki/Measure_(mathematics)>
* <https://en.wikipedia.org/wiki/Complete_measure>
* <https://en.wikipedia.org/wiki/Almost_everywhere>
## Tags
measure, almost everywhere, measure space, completion, null set, null measurable set
-/
noncomputable section
open Set
open Filter hiding map
open Function MeasurableSpace Topology Filter ENNReal NNReal Interval MeasureTheory
open scoped symmDiff
variable {α β γ δ ι R R' : Type*}
namespace MeasureTheory
section
variable {m : MeasurableSpace α} {μ μ₁ μ₂ : Measure α} {s s₁ s₂ t : Set α}
instance ae_isMeasurablyGenerated : IsMeasurablyGenerated (ae μ) :=
⟨fun _s hs =>
let ⟨t, hst, htm, htμ⟩ := exists_measurable_superset_of_null hs
⟨tᶜ, compl_mem_ae_iff.2 htμ, htm.compl, compl_subset_comm.1 hst⟩⟩
/-- See also `MeasureTheory.ae_restrict_uIoc_iff`. -/
theorem ae_uIoc_iff [LinearOrder α] {a b : α} {P : α → Prop} :
(∀ᵐ x ∂μ, x ∈ Ι a b → P x) ↔ (∀ᵐ x ∂μ, x ∈ Ioc a b → P x) ∧ ∀ᵐ x ∂μ, x ∈ Ioc b a → P x := by
simp only [uIoc_eq_union, mem_union, or_imp, eventually_and]
theorem measure_union (hd : Disjoint s₁ s₂) (h : MeasurableSet s₂) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ :=
measure_union₀ h.nullMeasurableSet hd.aedisjoint
theorem measure_union' (hd : Disjoint s₁ s₂) (h : MeasurableSet s₁) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ :=
measure_union₀' h.nullMeasurableSet hd.aedisjoint
theorem measure_inter_add_diff (s : Set α) (ht : MeasurableSet t) : μ (s ∩ t) + μ (s \ t) = μ s :=
measure_inter_add_diff₀ _ ht.nullMeasurableSet
theorem measure_diff_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s \ t) + μ (s ∩ t) = μ s :=
(add_comm _ _).trans (measure_inter_add_diff s ht)
theorem measure_diff_eq_top (hs : μ s = ∞) (ht : μ t ≠ ∞) : μ (s \ t) = ∞ := by
contrapose! hs
exact ((measure_mono (subset_diff_union s t)).trans_lt
((measure_union_le _ _).trans_lt (ENNReal.add_lt_top.2 ⟨hs.lt_top, ht.lt_top⟩))).ne
theorem measure_union_add_inter (s : Set α) (ht : MeasurableSet t) :
μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by
rw [← measure_inter_add_diff (s ∪ t) ht, Set.union_inter_cancel_right, union_diff_right, ←
measure_inter_add_diff s ht]
ac_rfl
theorem measure_union_add_inter' (hs : MeasurableSet s) (t : Set α) :
μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by
rw [union_comm, inter_comm, measure_union_add_inter t hs, add_comm]
lemma measure_symmDiff_eq (hs : NullMeasurableSet s μ) (ht : NullMeasurableSet t μ) :
μ (s ∆ t) = μ (s \ t) + μ (t \ s) := by
simpa only [symmDiff_def, sup_eq_union]
using measure_union₀ (ht.diff hs) disjoint_sdiff_sdiff.aedisjoint
lemma measure_symmDiff_le (s t u : Set α) :
μ (s ∆ u) ≤ μ (s ∆ t) + μ (t ∆ u) :=
le_trans (μ.mono <| symmDiff_triangle s t u) (measure_union_le (s ∆ t) (t ∆ u))
theorem measure_symmDiff_eq_top (hs : μ s ≠ ∞) (ht : μ t = ∞) : μ (s ∆ t) = ∞ :=
measure_mono_top subset_union_right (measure_diff_eq_top ht hs)
theorem measure_add_measure_compl (h : MeasurableSet s) : μ s + μ sᶜ = μ univ :=
measure_add_measure_compl₀ h.nullMeasurableSet
theorem measure_biUnion₀ {s : Set β} {f : β → Set α} (hs : s.Countable)
(hd : s.Pairwise (AEDisjoint μ on f)) (h : ∀ b ∈ s, NullMeasurableSet (f b) μ) :
μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := by
haveI := hs.toEncodable
rw [biUnion_eq_iUnion]
exact measure_iUnion₀ (hd.on_injective Subtype.coe_injective fun x => x.2) fun x => h x x.2
theorem measure_biUnion {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.PairwiseDisjoint f)
(h : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) :=
measure_biUnion₀ hs hd.aedisjoint fun b hb => (h b hb).nullMeasurableSet
theorem measure_sUnion₀ {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise (AEDisjoint μ))
(h : ∀ s ∈ S, NullMeasurableSet s μ) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion₀ hs hd h]
theorem measure_sUnion {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise Disjoint)
(h : ∀ s ∈ S, MeasurableSet s) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion hs hd h]
theorem measure_biUnion_finset₀ {s : Finset ι} {f : ι → Set α}
(hd : Set.Pairwise (↑s) (AEDisjoint μ on f)) (hm : ∀ b ∈ s, NullMeasurableSet (f b) μ) :
μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) := by
rw [← Finset.sum_attach, Finset.attach_eq_univ, ← tsum_fintype]
exact measure_biUnion₀ s.countable_toSet hd hm
theorem measure_biUnion_finset {s : Finset ι} {f : ι → Set α} (hd : PairwiseDisjoint (↑s) f)
(hm : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) :=
measure_biUnion_finset₀ hd.aedisjoint fun b hb => (hm b hb).nullMeasurableSet
/-- The measure of an a.e. disjoint union (even uncountable) of null-measurable sets is at least
the sum of the measures of the sets. -/
theorem tsum_meas_le_meas_iUnion_of_disjoint₀ {ι : Type*} {_ : MeasurableSpace α} (μ : Measure α)
{As : ι → Set α} (As_mble : ∀ i : ι, NullMeasurableSet (As i) μ)
(As_disj : Pairwise (AEDisjoint μ on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) := by
rw [ENNReal.tsum_eq_iSup_sum, iSup_le_iff]
intro s
simp only [← measure_biUnion_finset₀ (fun _i _hi _j _hj hij => As_disj hij) fun i _ => As_mble i]
gcongr
exact iUnion_subset fun _ ↦ Subset.rfl
/-- The measure of a disjoint union (even uncountable) of measurable sets is at least the sum of
the measures of the sets. -/
theorem tsum_meas_le_meas_iUnion_of_disjoint {ι : Type*} {_ : MeasurableSpace α} (μ : Measure α)
{As : ι → Set α} (As_mble : ∀ i : ι, MeasurableSet (As i))
(As_disj : Pairwise (Disjoint on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) :=
tsum_meas_le_meas_iUnion_of_disjoint₀ μ (fun i ↦ (As_mble i).nullMeasurableSet)
(fun _ _ h ↦ Disjoint.aedisjoint (As_disj h))
/-- If `s` is a countable set, then the measure of its preimage can be found as the sum of measures
of the fibers `f ⁻¹' {y}`. -/
theorem tsum_measure_preimage_singleton {s : Set β} (hs : s.Countable) {f : α → β}
(hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑' b : s, μ (f ⁻¹' {↑b})) = μ (f ⁻¹' s) := by
rw [← Set.biUnion_preimage_singleton, measure_biUnion hs (pairwiseDisjoint_fiber f s) hf]
lemma measure_preimage_eq_zero_iff_of_countable {s : Set β} {f : α → β} (hs : s.Countable) :
μ (f ⁻¹' s) = 0 ↔ ∀ x ∈ s, μ (f ⁻¹' {x}) = 0 := by
rw [← biUnion_preimage_singleton, measure_biUnion_null_iff hs]
/-- If `s` is a `Finset`, then the measure of its preimage can be found as the sum of measures
of the fibers `f ⁻¹' {y}`. -/
theorem sum_measure_preimage_singleton (s : Finset β) {f : α → β}
(hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑ b ∈ s, μ (f ⁻¹' {b})) = μ (f ⁻¹' ↑s) := by
simp only [← measure_biUnion_finset (pairwiseDisjoint_fiber f s) hf,
Finset.set_biUnion_preimage_singleton]
@[simp] lemma sum_measure_singleton {s : Finset α} [MeasurableSingletonClass α] :
∑ x ∈ s, μ {x} = μ s := by
trans ∑ x ∈ s, μ (id ⁻¹' {x})
· simp
rw [sum_measure_preimage_singleton]
· simp
· simp
theorem measure_diff_null' (h : μ (s₁ ∩ s₂) = 0) : μ (s₁ \ s₂) = μ s₁ :=
measure_congr <| diff_ae_eq_self.2 h
theorem measure_add_diff (hs : NullMeasurableSet s μ) (t : Set α) :
μ s + μ (t \ s) = μ (s ∪ t) := by
rw [← measure_union₀' hs disjoint_sdiff_right.aedisjoint, union_diff_self]
theorem measure_diff' (s : Set α) (hm : NullMeasurableSet t μ) (h_fin : μ t ≠ ∞) :
μ (s \ t) = μ (s ∪ t) - μ t :=
ENNReal.eq_sub_of_add_eq h_fin <| by rw [add_comm, measure_add_diff hm, union_comm]
theorem measure_diff (h : s₂ ⊆ s₁) (h₂ : NullMeasurableSet s₂ μ) (h_fin : μ s₂ ≠ ∞) :
μ (s₁ \ s₂) = μ s₁ - μ s₂ := by rw [measure_diff' _ h₂ h_fin, union_eq_self_of_subset_right h]
theorem le_measure_diff : μ s₁ - μ s₂ ≤ μ (s₁ \ s₂) :=
tsub_le_iff_left.2 <| (measure_le_inter_add_diff μ s₁ s₂).trans <| by
gcongr; apply inter_subset_right
/-- If the measure of the symmetric difference of two sets is finite,
then one has infinite measure if and only if the other one does. -/
theorem measure_eq_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s = ∞ ↔ μ t = ∞ := by
suffices h : ∀ u v, μ (u ∆ v) ≠ ∞ → μ u = ∞ → μ v = ∞
from ⟨h s t hμst, h t s (symmDiff_comm s t ▸ hμst)⟩
intro u v hμuv hμu
by_contra! hμv
apply hμuv
rw [Set.symmDiff_def, eq_top_iff]
calc
∞ = μ u - μ v := by rw [ENNReal.sub_eq_top_iff.2 ⟨hμu, hμv⟩]
_ ≤ μ (u \ v) := le_measure_diff
_ ≤ μ (u \ v ∪ v \ u) := measure_mono subset_union_left
/-- If the measure of the symmetric difference of two sets is finite,
then one has finite measure if and only if the other one does. -/
theorem measure_ne_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s ≠ ∞ ↔ μ t ≠ ∞ :=
(measure_eq_top_iff_of_symmDiff hμst).ne
theorem measure_diff_lt_of_lt_add (hs : NullMeasurableSet s μ) (hst : s ⊆ t) (hs' : μ s ≠ ∞)
{ε : ℝ≥0∞} (h : μ t < μ s + ε) : μ (t \ s) < ε := by
rw [measure_diff hst hs hs']; rw [add_comm] at h
exact ENNReal.sub_lt_of_lt_add (measure_mono hst) h
theorem measure_diff_le_iff_le_add (hs : NullMeasurableSet s μ) (hst : s ⊆ t) (hs' : μ s ≠ ∞)
{ε : ℝ≥0∞} : μ (t \ s) ≤ ε ↔ μ t ≤ μ s + ε := by
rw [measure_diff hst hs hs', tsub_le_iff_left]
theorem measure_eq_measure_of_null_diff {s t : Set α} (hst : s ⊆ t) (h_nulldiff : μ (t \ s) = 0) :
μ s = μ t := measure_congr <|
EventuallyLE.antisymm (HasSubset.Subset.eventuallyLE hst) (ae_le_set.mpr h_nulldiff)
theorem measure_eq_measure_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂) (h23 : s₂ ⊆ s₃)
(h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₁ = μ s₂ ∧ μ s₂ = μ s₃ := by
have le12 : μ s₁ ≤ μ s₂ := measure_mono h12
have le23 : μ s₂ ≤ μ s₃ := measure_mono h23
have key : μ s₃ ≤ μ s₁ :=
calc
μ s₃ = μ (s₃ \ s₁ ∪ s₁) := by rw [diff_union_of_subset (h12.trans h23)]
_ ≤ μ (s₃ \ s₁) + μ s₁ := measure_union_le _ _
_ = μ s₁ := by simp only [h_nulldiff, zero_add]
exact ⟨le12.antisymm (le23.trans key), le23.antisymm (key.trans le12)⟩
theorem measure_eq_measure_smaller_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂)
(h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₁ = μ s₂ :=
(measure_eq_measure_of_between_null_diff h12 h23 h_nulldiff).1
theorem measure_eq_measure_larger_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂)
(h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₂ = μ s₃ :=
(measure_eq_measure_of_between_null_diff h12 h23 h_nulldiff).2
lemma measure_compl₀ (h : NullMeasurableSet s μ) (hs : μ s ≠ ∞) :
μ sᶜ = μ Set.univ - μ s := by
rw [← measure_add_measure_compl₀ h, ENNReal.add_sub_cancel_left hs]
theorem measure_compl (h₁ : MeasurableSet s) (h_fin : μ s ≠ ∞) : μ sᶜ = μ univ - μ s :=
measure_compl₀ h₁.nullMeasurableSet h_fin
lemma measure_inter_conull' (ht : μ (s \ t) = 0) : μ (s ∩ t) = μ s := by
rw [← diff_compl, measure_diff_null']; rwa [← diff_eq]
lemma measure_inter_conull (ht : μ tᶜ = 0) : μ (s ∩ t) = μ s := by
rw [← diff_compl, measure_diff_null ht]
@[simp]
theorem union_ae_eq_left_iff_ae_subset : (s ∪ t : Set α) =ᵐ[μ] s ↔ t ≤ᵐ[μ] s := by
rw [ae_le_set]
refine
⟨fun h => by simpa only [union_diff_left] using (ae_eq_set.mp h).1, fun h =>
eventuallyLE_antisymm_iff.mpr
⟨by rwa [ae_le_set, union_diff_left],
HasSubset.Subset.eventuallyLE subset_union_left⟩⟩
@[simp]
theorem union_ae_eq_right_iff_ae_subset : (s ∪ t : Set α) =ᵐ[μ] t ↔ s ≤ᵐ[μ] t := by
rw [union_comm, union_ae_eq_left_iff_ae_subset]
theorem ae_eq_of_ae_subset_of_measure_ge (h₁ : s ≤ᵐ[μ] t) (h₂ : μ t ≤ μ s)
(hsm : NullMeasurableSet s μ) (ht : μ t ≠ ∞) : s =ᵐ[μ] t := by
refine eventuallyLE_antisymm_iff.mpr ⟨h₁, ae_le_set.mpr ?_⟩
replace h₂ : μ t = μ s := h₂.antisymm (measure_mono_ae h₁)
replace ht : μ s ≠ ∞ := h₂ ▸ ht
rw [measure_diff' t hsm ht, measure_congr (union_ae_eq_left_iff_ae_subset.mpr h₁), h₂, tsub_self]
/-- If `s ⊆ t`, `μ t ≤ μ s`, `μ t ≠ ∞`, and `s` is measurable, then `s =ᵐ[μ] t`. -/
theorem ae_eq_of_subset_of_measure_ge (h₁ : s ⊆ t) (h₂ : μ t ≤ μ s) (hsm : NullMeasurableSet s μ)
(ht : μ t ≠ ∞) : s =ᵐ[μ] t :=
ae_eq_of_ae_subset_of_measure_ge (HasSubset.Subset.eventuallyLE h₁) h₂ hsm ht
theorem measure_iUnion_congr_of_subset {ι : Sort*} [Countable ι] {s : ι → Set α} {t : ι → Set α}
(hsub : ∀ i, s i ⊆ t i) (h_le : ∀ i, μ (t i) ≤ μ (s i)) : μ (⋃ i, s i) = μ (⋃ i, t i) := by
refine le_antisymm (by gcongr; apply hsub) ?_
rcases Classical.em (∃ i, μ (t i) = ∞) with (⟨i, hi⟩ | htop)
· calc
μ (⋃ i, t i) ≤ ∞ := le_top
_ ≤ μ (s i) := hi ▸ h_le i
_ ≤ μ (⋃ i, s i) := measure_mono <| subset_iUnion _ _
push_neg at htop
set M := toMeasurable μ
have H : ∀ b, (M (t b) ∩ M (⋃ b, s b) : Set α) =ᵐ[μ] M (t b) := by
refine fun b => ae_eq_of_subset_of_measure_ge inter_subset_left ?_ ?_ ?_
· calc
μ (M (t b)) = μ (t b) := measure_toMeasurable _
_ ≤ μ (s b) := h_le b
_ ≤ μ (M (t b) ∩ M (⋃ b, s b)) :=
measure_mono <|
subset_inter ((hsub b).trans <| subset_toMeasurable _ _)
((subset_iUnion _ _).trans <| subset_toMeasurable _ _)
· measurability
· rw [measure_toMeasurable]
exact htop b
calc
μ (⋃ b, t b) ≤ μ (⋃ b, M (t b)) := measure_mono (iUnion_mono fun b => subset_toMeasurable _ _)
_ = μ (⋃ b, M (t b) ∩ M (⋃ b, s b)) := measure_congr (EventuallyEq.countable_iUnion H).symm
_ ≤ μ (M (⋃ b, s b)) := measure_mono (iUnion_subset fun b => inter_subset_right)
_ = μ (⋃ b, s b) := measure_toMeasurable _
theorem measure_union_congr_of_subset {t₁ t₂ : Set α} (hs : s₁ ⊆ s₂) (hsμ : μ s₂ ≤ μ s₁)
(ht : t₁ ⊆ t₂) (htμ : μ t₂ ≤ μ t₁) : μ (s₁ ∪ t₁) = μ (s₂ ∪ t₂) := by
rw [union_eq_iUnion, union_eq_iUnion]
exact measure_iUnion_congr_of_subset (Bool.forall_bool.2 ⟨ht, hs⟩) (Bool.forall_bool.2 ⟨htμ, hsμ⟩)
@[simp]
theorem measure_iUnion_toMeasurable {ι : Sort*} [Countable ι] (s : ι → Set α) :
μ (⋃ i, toMeasurable μ (s i)) = μ (⋃ i, s i) :=
Eq.symm <| measure_iUnion_congr_of_subset (fun _i => subset_toMeasurable _ _) fun _i ↦
(measure_toMeasurable _).le
theorem measure_biUnion_toMeasurable {I : Set β} (hc : I.Countable) (s : β → Set α) :
μ (⋃ b ∈ I, toMeasurable μ (s b)) = μ (⋃ b ∈ I, s b) := by
haveI := hc.toEncodable
simp only [biUnion_eq_iUnion, measure_iUnion_toMeasurable]
@[simp]
theorem measure_toMeasurable_union : μ (toMeasurable μ s ∪ t) = μ (s ∪ t) :=
Eq.symm <|
measure_union_congr_of_subset (subset_toMeasurable _ _) (measure_toMeasurable _).le Subset.rfl
le_rfl
@[simp]
theorem measure_union_toMeasurable : μ (s ∪ toMeasurable μ t) = μ (s ∪ t) :=
Eq.symm <|
measure_union_congr_of_subset Subset.rfl le_rfl (subset_toMeasurable _ _)
(measure_toMeasurable _).le
theorem sum_measure_le_measure_univ {s : Finset ι} {t : ι → Set α}
(h : ∀ i ∈ s, NullMeasurableSet (t i) μ) (H : Set.Pairwise s (AEDisjoint μ on t)) :
(∑ i ∈ s, μ (t i)) ≤ μ (univ : Set α) := by
rw [← measure_biUnion_finset₀ H h]
exact measure_mono (subset_univ _)
theorem tsum_measure_le_measure_univ {s : ι → Set α} (hs : ∀ i, NullMeasurableSet (s i) μ)
(H : Pairwise (AEDisjoint μ on s)) : ∑' i, μ (s i) ≤ μ (univ : Set α) := by
rw [ENNReal.tsum_eq_iSup_sum]
exact iSup_le fun s =>
sum_measure_le_measure_univ (fun i _hi => hs i) fun i _hi j _hj hij => H hij
/-- Pigeonhole principle for measure spaces: if `∑' i, μ (s i) > μ univ`, then
one of the intersections `s i ∩ s j` is not empty. -/
theorem exists_nonempty_inter_of_measure_univ_lt_tsum_measure {m : MeasurableSpace α}
(μ : Measure α) {s : ι → Set α} (hs : ∀ i, NullMeasurableSet (s i) μ)
(H : μ (univ : Set α) < ∑' i, μ (s i)) : ∃ i j, i ≠ j ∧ (s i ∩ s j).Nonempty := by
contrapose! H
apply tsum_measure_le_measure_univ hs
intro i j hij
exact (disjoint_iff_inter_eq_empty.mpr (H i j hij)).aedisjoint
/-- Pigeonhole principle for measure spaces: if `s` is a `Finset` and
`∑ i ∈ s, μ (t i) > μ univ`, then one of the intersections `t i ∩ t j` is not empty. -/
theorem exists_nonempty_inter_of_measure_univ_lt_sum_measure {m : MeasurableSpace α} (μ : Measure α)
{s : Finset ι} {t : ι → Set α} (h : ∀ i ∈ s, NullMeasurableSet (t i) μ)
(H : μ (univ : Set α) < ∑ i ∈ s, μ (t i)) :
∃ i ∈ s, ∃ j ∈ s, ∃ _h : i ≠ j, (t i ∩ t j).Nonempty := by
contrapose! H
apply sum_measure_le_measure_univ h
intro i hi j hj hij
exact (disjoint_iff_inter_eq_empty.mpr (H i hi j hj hij)).aedisjoint
/-- If two sets `s` and `t` are included in a set `u`, and `μ s + μ t > μ u`,
then `s` intersects `t`. Version assuming that `t` is measurable. -/
theorem nonempty_inter_of_measure_lt_add {m : MeasurableSpace α} (μ : Measure α) {s t u : Set α}
(ht : MeasurableSet t) (h's : s ⊆ u) (h't : t ⊆ u) (h : μ u < μ s + μ t) :
(s ∩ t).Nonempty := by
rw [← Set.not_disjoint_iff_nonempty_inter]
contrapose! h
calc
μ s + μ t = μ (s ∪ t) := (measure_union h ht).symm
_ ≤ μ u := measure_mono (union_subset h's h't)
/-- If two sets `s` and `t` are included in a set `u`, and `μ s + μ t > μ u`,
then `s` intersects `t`. Version assuming that `s` is measurable. -/
theorem nonempty_inter_of_measure_lt_add' {m : MeasurableSpace α} (μ : Measure α) {s t u : Set α}
(hs : MeasurableSet s) (h's : s ⊆ u) (h't : t ⊆ u) (h : μ u < μ s + μ t) :
(s ∩ t).Nonempty := by
rw [add_comm] at h
rw [inter_comm]
exact nonempty_inter_of_measure_lt_add μ hs h't h's h
/-- Continuity from below:
the measure of the union of a directed sequence of (not necessarily measurable) sets
is the supremum of the measures. -/
theorem _root_.Directed.measure_iUnion [Countable ι] {s : ι → Set α} (hd : Directed (· ⊆ ·) s) :
μ (⋃ i, s i) = ⨆ i, μ (s i) := by
-- WLOG, `ι = ℕ`
rcases Countable.exists_injective_nat ι with ⟨e, he⟩
generalize ht : Function.extend e s ⊥ = t
replace hd : Directed (· ⊆ ·) t := ht ▸ hd.extend_bot he
suffices μ (⋃ n, t n) = ⨆ n, μ (t n) by
simp only [← ht, Function.apply_extend μ, ← iSup_eq_iUnion, iSup_extend_bot he,
Function.comp_def, Pi.bot_apply, bot_eq_empty, measure_empty] at this
exact this.trans (iSup_extend_bot he _)
clear! ι
-- The `≥` inequality is trivial
refine le_antisymm ?_ (iSup_le fun i ↦ measure_mono <| subset_iUnion _ _)
-- Choose `T n ⊇ t n` of the same measure, put `Td n = disjointed T`
set T : ℕ → Set α := fun n => toMeasurable μ (t n)
set Td : ℕ → Set α := disjointed T
have hm : ∀ n, MeasurableSet (Td n) := .disjointed fun n ↦ measurableSet_toMeasurable _ _
calc
μ (⋃ n, t n) = μ (⋃ n, Td n) := by rw [iUnion_disjointed, measure_iUnion_toMeasurable]
_ ≤ ∑' n, μ (Td n) := measure_iUnion_le _
_ = ⨆ I : Finset ℕ, ∑ n ∈ I, μ (Td n) := ENNReal.tsum_eq_iSup_sum
_ ≤ ⨆ n, μ (t n) := iSup_le fun I => by
rcases hd.finset_le I with ⟨N, hN⟩
calc
(∑ n ∈ I, μ (Td n)) = μ (⋃ n ∈ I, Td n) :=
(measure_biUnion_finset ((disjoint_disjointed T).set_pairwise I) fun n _ => hm n).symm
_ ≤ μ (⋃ n ∈ I, T n) := measure_mono (iUnion₂_mono fun n _hn => disjointed_subset _ _)
_ = μ (⋃ n ∈ I, t n) := measure_biUnion_toMeasurable I.countable_toSet _
_ ≤ μ (t N) := measure_mono (iUnion₂_subset hN)
_ ≤ ⨆ n, μ (t n) := le_iSup (μ ∘ t) N
/-- Continuity from below:
the measure of the union of a monotone family of sets is equal to the supremum of their measures.
The theorem assumes that the `atTop` filter on the index set is countably generated,
so it works for a family indexed by a countable type, as well as `ℝ`. -/
theorem _root_.Monotone.measure_iUnion [Preorder ι] [IsDirected ι (· ≤ ·)]
[(atTop : Filter ι).IsCountablyGenerated] {s : ι → Set α} (hs : Monotone s) :
μ (⋃ i, s i) = ⨆ i, μ (s i) := by
cases isEmpty_or_nonempty ι with
| inl _ => simp
| inr _ =>
rcases exists_seq_monotone_tendsto_atTop_atTop ι with ⟨x, hxm, hx⟩
rw [← hs.iUnion_comp_tendsto_atTop hx, ← Monotone.iSup_comp_tendsto_atTop _ hx]
exacts [(hs.comp hxm).directed_le.measure_iUnion, fun _ _ h ↦ measure_mono (hs h)]
theorem _root_.Antitone.measure_iUnion [Preorder ι] [IsDirected ι (· ≥ ·)]
[(atBot : Filter ι).IsCountablyGenerated] {s : ι → Set α} (hs : Antitone s) :
μ (⋃ i, s i) = ⨆ i, μ (s i) :=
hs.dual_left.measure_iUnion
/-- Continuity from below: the measure of the union of a sequence of
(not necessarily measurable) sets is the supremum of the measures of the partial unions. -/
theorem measure_iUnion_eq_iSup_accumulate [Preorder ι] [IsDirected ι (· ≤ ·)]
[(atTop : Filter ι).IsCountablyGenerated] {f : ι → Set α} :
μ (⋃ i, f i) = ⨆ i, μ (Accumulate f i) := by
rw [← iUnion_accumulate]
exact monotone_accumulate.measure_iUnion
theorem measure_biUnion_eq_iSup {s : ι → Set α} {t : Set ι} (ht : t.Countable)
(hd : DirectedOn ((· ⊆ ·) on s) t) : μ (⋃ i ∈ t, s i) = ⨆ i ∈ t, μ (s i) := by
haveI := ht.to_subtype
rw [biUnion_eq_iUnion, hd.directed_val.measure_iUnion, ← iSup_subtype'']
/-- **Continuity from above**:
the measure of the intersection of a directed downwards countable family of measurable sets
is the infimum of the measures. -/
theorem _root_.Directed.measure_iInter [Countable ι] {s : ι → Set α}
(h : ∀ i, NullMeasurableSet (s i) μ) (hd : Directed (· ⊇ ·) s) (hfin : ∃ i, μ (s i) ≠ ∞) :
μ (⋂ i, s i) = ⨅ i, μ (s i) := by
rcases hfin with ⟨k, hk⟩
have : ∀ t ⊆ s k, μ t ≠ ∞ := fun t ht => ne_top_of_le_ne_top hk (measure_mono ht)
rw [← ENNReal.sub_sub_cancel hk (iInf_le (fun i => μ (s i)) k), ENNReal.sub_iInf, ←
ENNReal.sub_sub_cancel hk (measure_mono (iInter_subset _ k)), ←
measure_diff (iInter_subset _ k) (.iInter h) (this _ (iInter_subset _ k)),
diff_iInter, Directed.measure_iUnion]
· congr 1
refine le_antisymm (iSup_mono' fun i => ?_) (iSup_mono fun i => le_measure_diff)
rcases hd i k with ⟨j, hji, hjk⟩
use j
rw [← measure_diff hjk (h _) (this _ hjk)]
gcongr
· exact hd.mono_comp _ fun _ _ => diff_subset_diff_right
/-- **Continuity from above**:
the measure of the intersection of a monotone family of measurable sets
indexed by a type with countably generated `atBot` filter
is equal to the infimum of the measures. -/
theorem _root_.Monotone.measure_iInter [Preorder ι] [IsDirected ι (· ≥ ·)]
[(atBot : Filter ι).IsCountablyGenerated] {s : ι → Set α} (hs : Monotone s)
(hsm : ∀ i, NullMeasurableSet (s i) μ) (hfin : ∃ i, μ (s i) ≠ ∞) :
μ (⋂ i, s i) = ⨅ i, μ (s i) := by
refine le_antisymm (le_iInf fun i ↦ measure_mono <| iInter_subset _ _) ?_
have := hfin.nonempty
rcases exists_seq_antitone_tendsto_atTop_atBot ι with ⟨x, hxm, hx⟩
calc
⨅ i, μ (s i) ≤ ⨅ n, μ (s (x n)) := le_iInf_comp (μ ∘ s) x
_ = μ (⋂ n, s (x n)) := by
refine .symm <| (hs.comp_antitone hxm).directed_ge.measure_iInter (fun n ↦ hsm _) ?_
rcases hfin with ⟨k, hk⟩
rcases (hx.eventually_le_atBot k).exists with ⟨n, hn⟩
exact ⟨n, ne_top_of_le_ne_top hk <| measure_mono <| hs hn⟩
_ ≤ μ (⋂ i, s i) := by
refine measure_mono <| iInter_mono' fun i ↦ ?_
rcases (hx.eventually_le_atBot i).exists with ⟨n, hn⟩
exact ⟨n, hs hn⟩
/-- **Continuity from above**:
the measure of the intersection of an antitone family of measurable sets
indexed by a type with countably generated `atTop` filter
is equal to the infimum of the measures. -/
theorem _root_.Antitone.measure_iInter [Preorder ι] [IsDirected ι (· ≤ ·)]
[(atTop : Filter ι).IsCountablyGenerated] {s : ι → Set α} (hs : Antitone s)
(hsm : ∀ i, NullMeasurableSet (s i) μ) (hfin : ∃ i, μ (s i) ≠ ∞) :
μ (⋂ i, s i) = ⨅ i, μ (s i) :=
hs.dual_left.measure_iInter hsm hfin
/-- Continuity from above: the measure of the intersection of a sequence of
measurable sets is the infimum of the measures of the partial intersections. -/
theorem measure_iInter_eq_iInf_measure_iInter_le {α ι : Type*} {_ : MeasurableSpace α}
{μ : Measure α} [Countable ι] [Preorder ι] [IsDirected ι (· ≤ ·)]
{f : ι → Set α} (h : ∀ i, NullMeasurableSet (f i) μ) (hfin : ∃ i, μ (f i) ≠ ∞) :
μ (⋂ i, f i) = ⨅ i, μ (⋂ j ≤ i, f j) := by
rw [← Antitone.measure_iInter]
· rw [iInter_comm]
exact congrArg μ <| iInter_congr fun i ↦ (biInf_const nonempty_Ici).symm
· exact fun i j h ↦ biInter_mono (Iic_subset_Iic.2 h) fun _ _ ↦ Set.Subset.rfl
· exact fun i ↦ .biInter (to_countable _) fun _ _ ↦ h _
· refine hfin.imp fun k hk ↦ ne_top_of_le_ne_top hk <| measure_mono <| iInter₂_subset k ?_
rfl
/-- Continuity from below: the measure of the union of an increasing sequence of (not necessarily
measurable) sets is the limit of the measures. -/
theorem tendsto_measure_iUnion_atTop [Preorder ι] [IsCountablyGenerated (atTop : Filter ι)]
{s : ι → Set α} (hm : Monotone s) : Tendsto (μ ∘ s) atTop (𝓝 (μ (⋃ n, s n))) := by
refine .of_neBot_imp fun h ↦ ?_
have := (atTop_neBot_iff.1 h).2
rw [hm.measure_iUnion]
exact tendsto_atTop_iSup fun n m hnm => measure_mono <| hm hnm
theorem tendsto_measure_iUnion_atBot [Preorder ι] [IsCountablyGenerated (atBot : Filter ι)]
{s : ι → Set α} (hm : Antitone s) : Tendsto (μ ∘ s) atBot (𝓝 (μ (⋃ n, s n))) :=
tendsto_measure_iUnion_atTop (ι := ιᵒᵈ) hm.dual_left
/-- Continuity from below: the measure of the union of a sequence of (not necessarily measurable)
sets is the limit of the measures of the partial unions. -/
theorem tendsto_measure_iUnion_accumulate {α ι : Type*}
[Preorder ι] [IsCountablyGenerated (atTop : Filter ι)]
{_ : MeasurableSpace α} {μ : Measure α} {f : ι → Set α} :
Tendsto (fun i ↦ μ (Accumulate f i)) atTop (𝓝 (μ (⋃ i, f i))) := by
refine .of_neBot_imp fun h ↦ ?_
have := (atTop_neBot_iff.1 h).2
rw [measure_iUnion_eq_iSup_accumulate]
exact tendsto_atTop_iSup fun i j hij ↦ by gcongr
/-- Continuity from above: the measure of the intersection of a decreasing sequence of measurable
sets is the limit of the measures. -/
theorem tendsto_measure_iInter_atTop [Preorder ι]
[IsCountablyGenerated (atTop : Filter ι)] {s : ι → Set α}
(hs : ∀ i, NullMeasurableSet (s i) μ) (hm : Antitone s) (hf : ∃ i, μ (s i) ≠ ∞) :
Tendsto (μ ∘ s) atTop (𝓝 (μ (⋂ n, s n))) := by
refine .of_neBot_imp fun h ↦ ?_
have := (atTop_neBot_iff.1 h).2
rw [hm.measure_iInter hs hf]
exact tendsto_atTop_iInf fun n m hnm => measure_mono <| hm hnm
/-- Continuity from above: the measure of the intersection of an increasing sequence of measurable
sets is the limit of the measures. -/
theorem tendsto_measure_iInter_atBot [Preorder ι] [IsCountablyGenerated (atBot : Filter ι)]
{s : ι → Set α} (hs : ∀ i, NullMeasurableSet (s i) μ) (hm : Monotone s)
(hf : ∃ i, μ (s i) ≠ ∞) : Tendsto (μ ∘ s) atBot (𝓝 (μ (⋂ n, s n))) :=
tendsto_measure_iInter_atTop (ι := ιᵒᵈ) hs hm.dual_left hf
/-- Continuity from above: the measure of the intersection of a sequence of measurable
sets such that one has finite measure is the limit of the measures of the partial intersections. -/
theorem tendsto_measure_iInter_le {α ι : Type*} {_ : MeasurableSpace α} {μ : Measure α}
[Countable ι] [Preorder ι] {f : ι → Set α} (hm : ∀ i, NullMeasurableSet (f i) μ)
(hf : ∃ i, μ (f i) ≠ ∞) :
Tendsto (fun i ↦ μ (⋂ j ≤ i, f j)) atTop (𝓝 (μ (⋂ i, f i))) := by
refine .of_neBot_imp fun hne ↦ ?_
cases atTop_neBot_iff.mp hne
rw [measure_iInter_eq_iInf_measure_iInter_le hm hf]
exact tendsto_atTop_iInf
fun i j hij ↦ measure_mono <| biInter_subset_biInter_left fun k hki ↦ le_trans hki hij
/-- Some version of continuity of a measure in the empty set using the intersection along a set of
sets. -/
theorem exists_measure_iInter_lt {α ι : Type*} {_ : MeasurableSpace α} {μ : Measure α}
[SemilatticeSup ι] [Countable ι] {f : ι → Set α}
(hm : ∀ i, NullMeasurableSet (f i) μ) {ε : ℝ≥0∞} (hε : 0 < ε) (hfin : ∃ i, μ (f i) ≠ ∞)
(hfem : ⋂ n, f n = ∅) : ∃ m, μ (⋂ n ≤ m, f n) < ε := by
let F m := μ (⋂ n ≤ m, f n)
have hFAnti : Antitone F :=
fun i j hij => measure_mono (biInter_subset_biInter_left fun k hki => le_trans hki hij)
suffices Filter.Tendsto F Filter.atTop (𝓝 0) by
rw [@ENNReal.tendsto_atTop_zero_iff_lt_of_antitone
_ (nonempty_of_exists hfin) _ _ hFAnti] at this
exact this ε hε
have hzero : μ (⋂ n, f n) = 0 := by
simp only [hfem, measure_empty]
rw [← hzero]
exact tendsto_measure_iInter_le hm hfin
/-- The measure of the intersection of a decreasing sequence of measurable
sets indexed by a linear order with first countable topology is the limit of the measures. -/
theorem tendsto_measure_biInter_gt {ι : Type*} [LinearOrder ι] [TopologicalSpace ι]
[OrderTopology ι] [DenselyOrdered ι] [FirstCountableTopology ι] {s : ι → Set α}
{a : ι} (hs : ∀ r > a, NullMeasurableSet (s r) μ) (hm : ∀ i j, a < i → i ≤ j → s i ⊆ s j)
(hf : ∃ r > a, μ (s r) ≠ ∞) : Tendsto (μ ∘ s) (𝓝[Ioi a] a) (𝓝 (μ (⋂ r > a, s r))) := by
have : (atBot : Filter (Ioi a)).IsCountablyGenerated := by
rw [← comap_coe_Ioi_nhdsGT]
infer_instance
simp_rw [← map_coe_Ioi_atBot, tendsto_map'_iff, ← mem_Ioi, biInter_eq_iInter]
apply tendsto_measure_iInter_atBot
· rwa [Subtype.forall]
· exact fun i j h ↦ hm i j i.2 h
· simpa only [Subtype.exists, exists_prop]
theorem measure_if {x : β} {t : Set β} {s : Set α} [Decidable (x ∈ t)] :
μ (if x ∈ t then s else ∅) = indicator t (fun _ => μ s) x := by split_ifs with h <;> simp [h]
end
section OuterMeasure
variable [ms : MeasurableSpace α] {s t : Set α}
/-- Obtain a measure by giving an outer measure where all sets in the σ-algebra are
Carathéodory measurable. -/
def OuterMeasure.toMeasure (m : OuterMeasure α) (h : ms ≤ m.caratheodory) : Measure α :=
Measure.ofMeasurable (fun s _ => m s) m.empty fun _f hf hd =>
m.iUnion_eq_of_caratheodory (fun i => h _ (hf i)) hd
theorem le_toOuterMeasure_caratheodory (μ : Measure α) : ms ≤ μ.toOuterMeasure.caratheodory :=
fun _s hs _t => (measure_inter_add_diff _ hs).symm
@[simp]
theorem toMeasure_toOuterMeasure (m : OuterMeasure α) (h : ms ≤ m.caratheodory) :
(m.toMeasure h).toOuterMeasure = m.trim :=
rfl
@[simp]
theorem toMeasure_apply (m : OuterMeasure α) (h : ms ≤ m.caratheodory) {s : Set α}
(hs : MeasurableSet s) : m.toMeasure h s = m s :=
m.trim_eq hs
theorem le_toMeasure_apply (m : OuterMeasure α) (h : ms ≤ m.caratheodory) (s : Set α) :
m s ≤ m.toMeasure h s :=
m.le_trim s
theorem toMeasure_apply₀ (m : OuterMeasure α) (h : ms ≤ m.caratheodory) {s : Set α}
(hs : NullMeasurableSet s (m.toMeasure h)) : m.toMeasure h s = m s := by
refine le_antisymm ?_ (le_toMeasure_apply _ _ _)
rcases hs.exists_measurable_subset_ae_eq with ⟨t, hts, htm, heq⟩
calc
m.toMeasure h s = m.toMeasure h t := measure_congr heq.symm
_ = m t := toMeasure_apply m h htm
_ ≤ m s := m.mono hts
@[simp]
theorem toOuterMeasure_toMeasure {μ : Measure α} :
μ.toOuterMeasure.toMeasure (le_toOuterMeasure_caratheodory _) = μ :=
Measure.ext fun _s => μ.toOuterMeasure.trim_eq
@[simp]
theorem boundedBy_measure (μ : Measure α) : OuterMeasure.boundedBy μ = μ.toOuterMeasure :=
μ.toOuterMeasure.boundedBy_eq_self
end OuterMeasure
section
variable {m0 : MeasurableSpace α} {mβ : MeasurableSpace β} [MeasurableSpace γ]
variable {μ μ₁ μ₂ μ₃ ν ν' ν₁ ν₂ : Measure α} {s s' t : Set α}
namespace Measure
/-- If `u` is a superset of `t` with the same (finite) measure (both sets possibly non-measurable),
then for any measurable set `s` one also has `μ (t ∩ s) = μ (u ∩ s)`. -/
theorem measure_inter_eq_of_measure_eq {s t u : Set α} (hs : MeasurableSet s) (h : μ t = μ u)
(htu : t ⊆ u) (ht_ne_top : μ t ≠ ∞) : μ (t ∩ s) = μ (u ∩ s) := by
rw [h] at ht_ne_top
refine le_antisymm (by gcongr) ?_
have A : μ (u ∩ s) + μ (u \ s) ≤ μ (t ∩ s) + μ (u \ s) :=
calc
μ (u ∩ s) + μ (u \ s) = μ u := measure_inter_add_diff _ hs
_ = μ t := h.symm
_ = μ (t ∩ s) + μ (t \ s) := (measure_inter_add_diff _ hs).symm
_ ≤ μ (t ∩ s) + μ (u \ s) := by gcongr
have B : μ (u \ s) ≠ ∞ := (lt_of_le_of_lt (measure_mono diff_subset) ht_ne_top.lt_top).ne
exact ENNReal.le_of_add_le_add_right B A
/-- The measurable superset `toMeasurable μ t` of `t` (which has the same measure as `t`)
satisfies, for any measurable set `s`, the equality `μ (toMeasurable μ t ∩ s) = μ (u ∩ s)`.
Here, we require that the measure of `t` is finite. The conclusion holds without this assumption
when the measure is s-finite (for example when it is σ-finite),
see `measure_toMeasurable_inter_of_sFinite`. -/
theorem measure_toMeasurable_inter {s t : Set α} (hs : MeasurableSet s) (ht : μ t ≠ ∞) :
μ (toMeasurable μ t ∩ s) = μ (t ∩ s) :=
(measure_inter_eq_of_measure_eq hs (measure_toMeasurable t).symm (subset_toMeasurable μ t)
ht).symm
/-! ### The `ℝ≥0∞`-module of measures -/
instance instZero {_ : MeasurableSpace α} : Zero (Measure α) :=
⟨{ toOuterMeasure := 0
m_iUnion := fun _f _hf _hd => tsum_zero.symm
trim_le := OuterMeasure.trim_zero.le }⟩
@[simp]
theorem zero_toOuterMeasure {_m : MeasurableSpace α} : (0 : Measure α).toOuterMeasure = 0 :=
rfl
@[simp, norm_cast]
theorem coe_zero {_m : MeasurableSpace α} : ⇑(0 : Measure α) = 0 :=
rfl
@[simp] lemma _root_.MeasureTheory.OuterMeasure.toMeasure_zero
[ms : MeasurableSpace α] (h : ms ≤ (0 : OuterMeasure α).caratheodory) :
(0 : OuterMeasure α).toMeasure h = 0 := by
ext s hs
simp [hs]
@[simp] lemma _root_.MeasureTheory.OuterMeasure.toMeasure_eq_zero {ms : MeasurableSpace α}
{μ : OuterMeasure α} (h : ms ≤ μ.caratheodory) : μ.toMeasure h = 0 ↔ μ = 0 where
mp hμ := by ext s; exact le_bot_iff.1 <| (le_toMeasure_apply _ _ _).trans_eq congr($hμ s)
mpr := by rintro rfl; simp
@[nontriviality]
lemma apply_eq_zero_of_isEmpty [IsEmpty α] {_ : MeasurableSpace α} (μ : Measure α) (s : Set α) :
μ s = 0 := by
rw [eq_empty_of_isEmpty s, measure_empty]
instance instSubsingleton [IsEmpty α] {m : MeasurableSpace α} : Subsingleton (Measure α) :=
⟨fun μ ν => by ext1 s _; rw [apply_eq_zero_of_isEmpty, apply_eq_zero_of_isEmpty]⟩
theorem eq_zero_of_isEmpty [IsEmpty α] {_m : MeasurableSpace α} (μ : Measure α) : μ = 0 :=
Subsingleton.elim μ 0
instance instInhabited {_ : MeasurableSpace α} : Inhabited (Measure α) :=
⟨0⟩
instance instAdd {_ : MeasurableSpace α} : Add (Measure α) :=
⟨fun μ₁ μ₂ =>
{ toOuterMeasure := μ₁.toOuterMeasure + μ₂.toOuterMeasure
m_iUnion := fun s hs hd =>
show μ₁ (⋃ i, s i) + μ₂ (⋃ i, s i) = ∑' i, (μ₁ (s i) + μ₂ (s i)) by
rw [ENNReal.tsum_add, measure_iUnion hd hs, measure_iUnion hd hs]
trim_le := by rw [OuterMeasure.trim_add, μ₁.trimmed, μ₂.trimmed] }⟩
@[simp]
theorem add_toOuterMeasure {_m : MeasurableSpace α} (μ₁ μ₂ : Measure α) :
(μ₁ + μ₂).toOuterMeasure = μ₁.toOuterMeasure + μ₂.toOuterMeasure :=
rfl
@[simp, norm_cast]
theorem coe_add {_m : MeasurableSpace α} (μ₁ μ₂ : Measure α) : ⇑(μ₁ + μ₂) = μ₁ + μ₂ :=
rfl
theorem add_apply {_m : MeasurableSpace α} (μ₁ μ₂ : Measure α) (s : Set α) :
(μ₁ + μ₂) s = μ₁ s + μ₂ s :=
rfl
section SMul
variable [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
variable [SMul R' ℝ≥0∞] [IsScalarTower R' ℝ≥0∞ ℝ≥0∞]
instance instSMul {_ : MeasurableSpace α} : SMul R (Measure α) :=
⟨fun c μ =>
{ toOuterMeasure := c • μ.toOuterMeasure
m_iUnion := fun s hs hd => by
simp only [OuterMeasure.smul_apply, coe_toOuterMeasure, ENNReal.tsum_const_smul,
measure_iUnion hd hs]
trim_le := by rw [OuterMeasure.trim_smul, μ.trimmed] }⟩
@[simp]
theorem smul_toOuterMeasure {_m : MeasurableSpace α} (c : R) (μ : Measure α) :
(c • μ).toOuterMeasure = c • μ.toOuterMeasure :=
rfl
@[simp, norm_cast]
theorem coe_smul {_m : MeasurableSpace α} (c : R) (μ : Measure α) : ⇑(c • μ) = c • ⇑μ :=
rfl
@[simp]
theorem smul_apply {_m : MeasurableSpace α} (c : R) (μ : Measure α) (s : Set α) :
(c • μ) s = c • μ s :=
rfl
instance instSMulCommClass [SMulCommClass R R' ℝ≥0∞] {_ : MeasurableSpace α} :
SMulCommClass R R' (Measure α) :=
⟨fun _ _ _ => ext fun _ _ => smul_comm _ _ _⟩
instance instIsScalarTower [SMul R R'] [IsScalarTower R R' ℝ≥0∞] {_ : MeasurableSpace α} :
IsScalarTower R R' (Measure α) :=
⟨fun _ _ _ => ext fun _ _ => smul_assoc _ _ _⟩
instance instIsCentralScalar [SMul Rᵐᵒᵖ ℝ≥0∞] [IsCentralScalar R ℝ≥0∞] {_ : MeasurableSpace α} :
IsCentralScalar R (Measure α) :=
⟨fun _ _ => ext fun _ _ => op_smul_eq_smul _ _⟩
end SMul
instance instNoZeroSMulDivisors [Zero R] [SMulWithZero R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
[NoZeroSMulDivisors R ℝ≥0∞] : NoZeroSMulDivisors R (Measure α) where
eq_zero_or_eq_zero_of_smul_eq_zero h := by simpa [Ne, ext_iff', forall_or_left] using h
instance instMulAction [Monoid R] [MulAction R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
{_ : MeasurableSpace α} : MulAction R (Measure α) :=
Injective.mulAction _ toOuterMeasure_injective smul_toOuterMeasure
instance instAddCommMonoid {_ : MeasurableSpace α} : AddCommMonoid (Measure α) :=
toOuterMeasure_injective.addCommMonoid toOuterMeasure zero_toOuterMeasure add_toOuterMeasure
fun _ _ => smul_toOuterMeasure _ _
/-- Coercion to function as an additive monoid homomorphism. -/
def coeAddHom {_ : MeasurableSpace α} : Measure α →+ Set α → ℝ≥0∞ where
toFun := (⇑)
map_zero' := coe_zero
map_add' := coe_add
@[simp]
theorem coeAddHom_apply {_ : MeasurableSpace α} (μ : Measure α) : coeAddHom μ = ⇑μ := rfl
@[simp]
theorem coe_finset_sum {_m : MeasurableSpace α} (I : Finset ι) (μ : ι → Measure α) :
⇑(∑ i ∈ I, μ i) = ∑ i ∈ I, ⇑(μ i) := map_sum coeAddHom μ I
theorem finset_sum_apply {m : MeasurableSpace α} (I : Finset ι) (μ : ι → Measure α) (s : Set α) :
(∑ i ∈ I, μ i) s = ∑ i ∈ I, μ i s := by rw [coe_finset_sum, Finset.sum_apply]
instance instDistribMulAction [Monoid R] [DistribMulAction R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
{_ : MeasurableSpace α} : DistribMulAction R (Measure α) :=
Injective.distribMulAction ⟨⟨toOuterMeasure, zero_toOuterMeasure⟩, add_toOuterMeasure⟩
toOuterMeasure_injective smul_toOuterMeasure
instance instModule [Semiring R] [Module R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
{_ : MeasurableSpace α} : Module R (Measure α) :=
Injective.module R ⟨⟨toOuterMeasure, zero_toOuterMeasure⟩, add_toOuterMeasure⟩
toOuterMeasure_injective smul_toOuterMeasure
@[simp]
theorem coe_nnreal_smul_apply {_m : MeasurableSpace α} (c : ℝ≥0) (μ : Measure α) (s : Set α) :
(c • μ) s = c * μ s :=
rfl
@[simp]
theorem nnreal_smul_coe_apply {_m : MeasurableSpace α} (c : ℝ≥0) (μ : Measure α) (s : Set α) :
c • μ s = c * μ s := by
rfl
theorem ae_smul_measure {p : α → Prop} [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
(h : ∀ᵐ x ∂μ, p x) (c : R) : ∀ᵐ x ∂c • μ, p x :=
ae_iff.2 <| by rw [smul_apply, ae_iff.1 h, ← smul_one_smul ℝ≥0∞, smul_zero]
theorem ae_smul_measure_le [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞] (c : R) :
ae (c • μ) ≤ ae μ := fun _ h ↦ ae_smul_measure h c
section SMulWithZero
variable {R : Type*} [Zero R] [SMulWithZero R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
[NoZeroSMulDivisors R ℝ≥0∞] {c : R} {p : α → Prop}
lemma ae_smul_measure_iff (hc : c ≠ 0) {μ : Measure α} : (∀ᵐ x ∂c • μ, p x) ↔ ∀ᵐ x ∂μ, p x := by
simp [ae_iff, hc]
@[simp] lemma ae_smul_measure_eq (hc : c ≠ 0) (μ : Measure α) : ae (c • μ) = ae μ := by
ext; exact ae_smul_measure_iff hc
end SMulWithZero
theorem measure_eq_left_of_subset_of_measure_add_eq {s t : Set α} (h : (μ + ν) t ≠ ∞) (h' : s ⊆ t)
(h'' : (μ + ν) s = (μ + ν) t) : μ s = μ t := by
refine le_antisymm (measure_mono h') ?_
have : μ t + ν t ≤ μ s + ν t :=
calc
μ t + ν t = μ s + ν s := h''.symm
_ ≤ μ s + ν t := by gcongr
apply ENNReal.le_of_add_le_add_right _ this
exact ne_top_of_le_ne_top h (le_add_left le_rfl)
theorem measure_eq_right_of_subset_of_measure_add_eq {s t : Set α} (h : (μ + ν) t ≠ ∞) (h' : s ⊆ t)
(h'' : (μ + ν) s = (μ + ν) t) : ν s = ν t := by
rw [add_comm] at h'' h
exact measure_eq_left_of_subset_of_measure_add_eq h h' h''
theorem measure_toMeasurable_add_inter_left {s t : Set α} (hs : MeasurableSet s)
(ht : (μ + ν) t ≠ ∞) : μ (toMeasurable (μ + ν) t ∩ s) = μ (t ∩ s) := by
refine (measure_inter_eq_of_measure_eq hs ?_ (subset_toMeasurable _ _) ?_).symm
· refine
measure_eq_left_of_subset_of_measure_add_eq ?_ (subset_toMeasurable _ _)
(measure_toMeasurable t).symm
rwa [measure_toMeasurable t]
· simp only [not_or, ENNReal.add_eq_top, Pi.add_apply, Ne, coe_add] at ht
exact ht.1
theorem measure_toMeasurable_add_inter_right {s t : Set α} (hs : MeasurableSet s)
(ht : (μ + ν) t ≠ ∞) : ν (toMeasurable (μ + ν) t ∩ s) = ν (t ∩ s) := by
rw [add_comm] at ht ⊢
exact measure_toMeasurable_add_inter_left hs ht
/-! ### The complete lattice of measures -/
/-- Measures are partially ordered. -/
instance instPartialOrder {_ : MeasurableSpace α} : PartialOrder (Measure α) where
le m₁ m₂ := ∀ s, m₁ s ≤ m₂ s
le_refl _ _ := le_rfl
le_trans _ _ _ h₁ h₂ s := le_trans (h₁ s) (h₂ s)
le_antisymm _ _ h₁ h₂ := ext fun s _ => le_antisymm (h₁ s) (h₂ s)
theorem toOuterMeasure_le : μ₁.toOuterMeasure ≤ μ₂.toOuterMeasure ↔ μ₁ ≤ μ₂ := .rfl
theorem le_iff : μ₁ ≤ μ₂ ↔ ∀ s, MeasurableSet s → μ₁ s ≤ μ₂ s := outerMeasure_le_iff
theorem le_intro (h : ∀ s, MeasurableSet s → s.Nonempty → μ₁ s ≤ μ₂ s) : μ₁ ≤ μ₂ :=
le_iff.2 fun s hs ↦ s.eq_empty_or_nonempty.elim (by rintro rfl; simp) (h s hs)
theorem le_iff' : μ₁ ≤ μ₂ ↔ ∀ s, μ₁ s ≤ μ₂ s := .rfl
theorem lt_iff : μ < ν ↔ μ ≤ ν ∧ ∃ s, MeasurableSet s ∧ μ s < ν s :=
lt_iff_le_not_le.trans <|
and_congr Iff.rfl <| by simp only [le_iff, not_forall, not_le, exists_prop]
theorem lt_iff' : μ < ν ↔ μ ≤ ν ∧ ∃ s, μ s < ν s :=
lt_iff_le_not_le.trans <| and_congr Iff.rfl <| by simp only [le_iff', not_forall, not_le]
instance instAddLeftMono {_ : MeasurableSpace α} : AddLeftMono (Measure α) :=
⟨fun _ν _μ₁ _μ₂ hμ s => add_le_add_left (hμ s) _⟩
protected theorem le_add_left (h : μ ≤ ν) : μ ≤ ν' + ν := fun s => le_add_left (h s)
protected theorem le_add_right (h : μ ≤ ν) : μ ≤ ν + ν' := fun s => le_add_right (h s)
section sInf
variable {m : Set (Measure α)}
theorem sInf_caratheodory (s : Set α) (hs : MeasurableSet s) :
MeasurableSet[(sInf (toOuterMeasure '' m)).caratheodory] s := by
rw [OuterMeasure.sInf_eq_boundedBy_sInfGen]
refine OuterMeasure.boundedBy_caratheodory fun t => ?_
simp only [OuterMeasure.sInfGen, le_iInf_iff, forall_mem_image, measure_eq_iInf t,
coe_toOuterMeasure]
intro μ hμ u htu _hu
have hm : ∀ {s t}, s ⊆ t → OuterMeasure.sInfGen (toOuterMeasure '' m) s ≤ μ t := by
intro s t hst
rw [OuterMeasure.sInfGen_def, iInf_image]
exact iInf₂_le_of_le μ hμ <| measure_mono hst
rw [← measure_inter_add_diff u hs]
exact add_le_add (hm <| inter_subset_inter_left _ htu) (hm <| diff_subset_diff_left htu)
instance {_ : MeasurableSpace α} : InfSet (Measure α) :=
⟨fun m => (sInf (toOuterMeasure '' m)).toMeasure <| sInf_caratheodory⟩
theorem sInf_apply (hs : MeasurableSet s) : sInf m s = sInf (toOuterMeasure '' m) s :=
toMeasure_apply _ _ hs
private theorem measure_sInf_le (h : μ ∈ m) : sInf m ≤ μ :=
have : sInf (toOuterMeasure '' m) ≤ μ.toOuterMeasure := sInf_le (mem_image_of_mem _ h)
le_iff.2 fun s hs => by rw [sInf_apply hs]; exact this s
private theorem measure_le_sInf (h : ∀ μ' ∈ m, μ ≤ μ') : μ ≤ sInf m :=
have : μ.toOuterMeasure ≤ sInf (toOuterMeasure '' m) :=
le_sInf <| forall_mem_image.2 fun _ hμ ↦ toOuterMeasure_le.2 <| h _ hμ
le_iff.2 fun s hs => by rw [sInf_apply hs]; exact this s
instance instCompleteSemilatticeInf {_ : MeasurableSpace α} : CompleteSemilatticeInf (Measure α) :=
{ (by infer_instance : PartialOrder (Measure α)),
(by infer_instance : InfSet (Measure α)) with
sInf_le := fun _s _a => measure_sInf_le
le_sInf := fun _s _a => measure_le_sInf }
instance instCompleteLattice {_ : MeasurableSpace α} : CompleteLattice (Measure α) :=
{ completeLatticeOfCompleteSemilatticeInf (Measure α) with
top :=
{ toOuterMeasure := ⊤,
m_iUnion := by
intro f _ _
refine (measure_iUnion_le _).antisymm ?_
if hne : (⋃ i, f i).Nonempty then
rw [OuterMeasure.top_apply hne]
exact le_top
else
simp_all [Set.not_nonempty_iff_eq_empty]
trim_le := le_top },
le_top := fun _ => toOuterMeasure_le.mp le_top
bot := 0
bot_le := fun _a _s => bot_le }
end sInf
lemma inf_apply {s : Set α} (hs : MeasurableSet s) :
(μ ⊓ ν) s = sInf {m | ∃ t, m = μ (t ∩ s) + ν (tᶜ ∩ s)} := by
-- `(μ ⊓ ν) s` is defined as `⊓ (t : ℕ → Set α) (ht : s ⊆ ⋃ n, t n), ∑' n, μ (t n) ⊓ ν (t n)`
rw [← sInf_pair, Measure.sInf_apply hs, OuterMeasure.sInf_apply
(image_nonempty.2 <| insert_nonempty μ {ν})]
refine le_antisymm (le_sInf fun m ⟨t, ht₁⟩ ↦ ?_) (le_iInf₂ fun t' ht' ↦ ?_)
· subst ht₁
-- We first show `(μ ⊓ ν) s ≤ μ (t ∩ s) + ν (tᶜ ∩ s)` for any `t : Set α`
-- For this, define the sequence `t' : ℕ → Set α` where `t' 0 = t ∩ s`, `t' 1 = tᶜ ∩ s` and
-- `∅` otherwise. Then, we have by construction
-- `(μ ⊓ ν) s ≤ ∑' n, μ (t' n) ⊓ ν (t' n) ≤ μ (t' 0) + ν (t' 1) = μ (t ∩ s) + ν (tᶜ ∩ s)`.
set t' : ℕ → Set α := fun n ↦ if n = 0 then t ∩ s else if n = 1 then tᶜ ∩ s else ∅ with ht'
refine (iInf₂_le t' fun x hx ↦ ?_).trans ?_
· by_cases hxt : x ∈ t
· refine mem_iUnion.2 ⟨0, ?_⟩
simp [hx, hxt]
· refine mem_iUnion.2 ⟨1, ?_⟩
simp [hx, hxt]
· simp only [iInf_image, coe_toOuterMeasure, iInf_pair]
rw [tsum_eq_add_tsum_ite 0, tsum_eq_add_tsum_ite 1, if_neg zero_ne_one.symm,
ENNReal.summable.tsum_eq_zero_iff.2 _, add_zero]
· exact add_le_add (inf_le_left.trans <| by simp [ht']) (inf_le_right.trans <| by simp [ht'])
· simp only [ite_eq_left_iff]
intro n hn₁ hn₀
simp only [ht', if_neg hn₀, if_neg hn₁, measure_empty, iInf_pair, le_refl, inf_of_le_left]
· simp only [iInf_image, coe_toOuterMeasure, iInf_pair]
-- Conversely, fixing `t' : ℕ → Set α` such that `s ⊆ ⋃ n, t' n`, we construct `t : Set α`
-- for which `μ (t ∩ s) + ν (tᶜ ∩ s) ≤ ∑' n, μ (t' n) ⊓ ν (t' n)`.
-- Denoting `I := {n | μ (t' n) ≤ ν (t' n)}`, we set `t = ⋃ n ∈ I, t' n`.
-- Clearly `μ (t ∩ s) ≤ ∑' n ∈ I, μ (t' n)` and `ν (tᶜ ∩ s) ≤ ∑' n ∉ I, ν (t' n)`, so
-- `μ (t ∩ s) + ν (tᶜ ∩ s) ≤ ∑' n ∈ I, μ (t' n) + ∑' n ∉ I, ν (t' n)`
-- where the RHS equals `∑' n, μ (t' n) ⊓ ν (t' n)` by the choice of `I`.
set t := ⋃ n ∈ {k : ℕ | μ (t' k) ≤ ν (t' k)}, t' n with ht
suffices hadd : μ (t ∩ s) + ν (tᶜ ∩ s) ≤ ∑' n, μ (t' n) ⊓ ν (t' n) by
exact le_trans (sInf_le ⟨t, rfl⟩) hadd
have hle₁ : μ (t ∩ s) ≤ ∑' (n : {k | μ (t' k) ≤ ν (t' k)}), μ (t' n) :=
(measure_mono inter_subset_left).trans <| measure_biUnion_le _ (to_countable _) _
have hcap : tᶜ ∩ s ⊆ ⋃ n ∈ {k | ν (t' k) < μ (t' k)}, t' n := by
simp_rw [ht, compl_iUnion]
refine fun x ⟨hx₁, hx₂⟩ ↦ mem_iUnion₂.2 ?_
obtain ⟨i, hi⟩ := mem_iUnion.1 <| ht' hx₂
refine ⟨i, ?_, hi⟩
by_contra h
simp only [mem_setOf_eq, not_lt] at h
exact mem_iInter₂.1 hx₁ i h hi
have hle₂ : ν (tᶜ ∩ s) ≤ ∑' (n : {k | ν (t' k) < μ (t' k)}), ν (t' n) :=
(measure_mono hcap).trans (measure_biUnion_le ν (to_countable {k | ν (t' k) < μ (t' k)}) _)
refine (add_le_add hle₁ hle₂).trans ?_
have heq : {k | μ (t' k) ≤ ν (t' k)} ∪ {k | ν (t' k) < μ (t' k)} = univ := by
ext k; simp [le_or_lt]
conv in ∑' (n : ℕ), μ (t' n) ⊓ ν (t' n) => rw [← tsum_univ, ← heq]
rw [ENNReal.summable.tsum_union_disjoint (f := fun n ↦ μ (t' n) ⊓ ν (t' n)) ?_ ENNReal.summable]
· refine add_le_add (tsum_congr ?_).le (tsum_congr ?_).le
· rw [Subtype.forall]
intro n hn; simpa
· rw [Subtype.forall]
intro n hn
rw [mem_setOf_eq] at hn
simp [le_of_lt hn]
· rw [Set.disjoint_iff]
rintro k ⟨hk₁, hk₂⟩
rw [mem_setOf_eq] at hk₁ hk₂
exact False.elim <| hk₂.not_le hk₁
@[simp]
theorem _root_.MeasureTheory.OuterMeasure.toMeasure_top :
(⊤ : OuterMeasure α).toMeasure (by rw [OuterMeasure.top_caratheodory]; exact le_top) =
(⊤ : Measure α) :=
toOuterMeasure_toMeasure (μ := ⊤)
@[simp]
theorem toOuterMeasure_top {_ : MeasurableSpace α} :
(⊤ : Measure α).toOuterMeasure = (⊤ : OuterMeasure α) :=
rfl
@[simp]
theorem top_add : ⊤ + μ = ⊤ :=
top_unique <| Measure.le_add_right le_rfl
@[simp]
theorem add_top : μ + ⊤ = ⊤ :=
top_unique <| Measure.le_add_left le_rfl
protected theorem zero_le {_m0 : MeasurableSpace α} (μ : Measure α) : 0 ≤ μ :=
bot_le
theorem nonpos_iff_eq_zero' : μ ≤ 0 ↔ μ = 0 :=
μ.zero_le.le_iff_eq
@[simp]
theorem measure_univ_eq_zero : μ univ = 0 ↔ μ = 0 :=
⟨fun h => bot_unique fun s => (h ▸ measure_mono (subset_univ s) : μ s ≤ 0), fun h =>
h.symm ▸ rfl⟩
theorem measure_univ_ne_zero : μ univ ≠ 0 ↔ μ ≠ 0 :=
measure_univ_eq_zero.not
instance [NeZero μ] : NeZero (μ univ) := ⟨measure_univ_ne_zero.2 <| NeZero.ne μ⟩
@[simp]
theorem measure_univ_pos : 0 < μ univ ↔ μ ≠ 0 :=
pos_iff_ne_zero.trans measure_univ_ne_zero
lemma nonempty_of_neZero (μ : Measure α) [NeZero μ] : Nonempty α :=
(isEmpty_or_nonempty α).resolve_left fun h ↦ by
simpa [eq_empty_of_isEmpty] using NeZero.ne (μ univ)
section Sum
variable {f : ι → Measure α}
/-- Sum of an indexed family of measures. -/
noncomputable def sum (f : ι → Measure α) : Measure α :=
(OuterMeasure.sum fun i => (f i).toOuterMeasure).toMeasure <|
le_trans (le_iInf fun _ => le_toOuterMeasure_caratheodory _)
(OuterMeasure.le_sum_caratheodory _)
theorem le_sum_apply (f : ι → Measure α) (s : Set α) : ∑' i, f i s ≤ sum f s :=
le_toMeasure_apply _ _ _
@[simp]
theorem sum_apply (f : ι → Measure α) {s : Set α} (hs : MeasurableSet s) :
sum f s = ∑' i, f i s :=
toMeasure_apply _ _ hs
theorem sum_apply₀ (f : ι → Measure α) {s : Set α} (hs : NullMeasurableSet s (sum f)) :
sum f s = ∑' i, f i s := by
apply le_antisymm ?_ (le_sum_apply _ _)
rcases hs.exists_measurable_subset_ae_eq with ⟨t, ts, t_meas, ht⟩
calc
sum f s = sum f t := measure_congr ht.symm
_ = ∑' i, f i t := sum_apply _ t_meas
_ ≤ ∑' i, f i s := ENNReal.tsum_le_tsum fun i ↦ measure_mono ts
/-! For the next theorem, the countability assumption is necessary. For a counterexample, consider
an uncountable space, with a distinguished point `x₀`, and the sigma-algebra made of countable sets
not containing `x₀`, and their complements. All points but `x₀` are measurable.
Consider the sum of the Dirac masses at points different from `x₀`, and `s = {x₀}`. For any Dirac
mass `δ_x`, we have `δ_x (x₀) = 0`, so `∑' x, δ_x (x₀) = 0`. On the other hand, the measure
`sum δ_x` gives mass one to each point different from `x₀`, so it gives infinite mass to any
measurable set containing `x₀` (as such a set is uncountable), and by outer regularity one gets
`sum δ_x {x₀} = ∞`.
-/
theorem sum_apply_of_countable [Countable ι] (f : ι → Measure α) (s : Set α) :
sum f s = ∑' i, f i s := by
apply le_antisymm ?_ (le_sum_apply _ _)
rcases exists_measurable_superset_forall_eq f s with ⟨t, hst, htm, ht⟩
calc
sum f s ≤ sum f t := measure_mono hst
_ = ∑' i, f i t := sum_apply _ htm
_ = ∑' i, f i s := by simp [ht]
theorem le_sum (μ : ι → Measure α) (i : ι) : μ i ≤ sum μ :=
le_iff.2 fun s hs ↦ by simpa only [sum_apply μ hs] using ENNReal.le_tsum i
@[simp]
theorem sum_apply_eq_zero [Countable ι] {μ : ι → Measure α} {s : Set α} :
sum μ s = 0 ↔ ∀ i, μ i s = 0 := by
simp [sum_apply_of_countable]
theorem sum_apply_eq_zero' {μ : ι → Measure α} {s : Set α} (hs : MeasurableSet s) :
sum μ s = 0 ↔ ∀ i, μ i s = 0 := by simp [hs]
@[simp] lemma sum_eq_zero : sum f = 0 ↔ ∀ i, f i = 0 := by
simp +contextual [Measure.ext_iff, forall_swap (α := ι)]
@[simp]
lemma sum_zero : Measure.sum (fun (_ : ι) ↦ (0 : Measure α)) = 0 := by
ext s hs
simp [Measure.sum_apply _ hs]
theorem sum_sum {ι' : Type*} (μ : ι → ι' → Measure α) :
(sum fun n => sum (μ n)) = sum (fun (p : ι × ι') ↦ μ p.1 p.2) := by
ext1 s hs
simp [sum_apply _ hs, ENNReal.tsum_prod']
theorem sum_comm {ι' : Type*} (μ : ι → ι' → Measure α) :
(sum fun n => sum (μ n)) = sum fun m => sum fun n => μ n m := by
ext1 s hs
simp_rw [sum_apply _ hs]
rw [ENNReal.tsum_comm]
theorem ae_sum_iff [Countable ι] {μ : ι → Measure α} {p : α → Prop} :
(∀ᵐ x ∂sum μ, p x) ↔ ∀ i, ∀ᵐ x ∂μ i, p x :=
sum_apply_eq_zero
theorem ae_sum_iff' {μ : ι → Measure α} {p : α → Prop} (h : MeasurableSet { x | p x }) :
(∀ᵐ x ∂sum μ, p x) ↔ ∀ i, ∀ᵐ x ∂μ i, p x :=
sum_apply_eq_zero' h.compl
@[simp]
theorem sum_fintype [Fintype ι] (μ : ι → Measure α) : sum μ = ∑ i, μ i := by
ext1 s hs
simp only [sum_apply, finset_sum_apply, hs, tsum_fintype]
theorem sum_coe_finset (s : Finset ι) (μ : ι → Measure α) :
(sum fun i : s => μ i) = ∑ i ∈ s, μ i := by rw [sum_fintype, Finset.sum_coe_sort s μ]
@[simp]
theorem ae_sum_eq [Countable ι] (μ : ι → Measure α) : ae (sum μ) = ⨆ i, ae (μ i) :=
Filter.ext fun _ => ae_sum_iff.trans mem_iSup.symm
theorem sum_bool (f : Bool → Measure α) : sum f = f true + f false := by
rw [sum_fintype, Fintype.sum_bool]
theorem sum_cond (μ ν : Measure α) : (sum fun b => cond b μ ν) = μ + ν :=
sum_bool _
@[simp]
theorem sum_of_isEmpty [IsEmpty ι] (μ : ι → Measure α) : sum μ = 0 := by
rw [← measure_univ_eq_zero, sum_apply _ MeasurableSet.univ, tsum_empty]
theorem sum_add_sum_compl (s : Set ι) (μ : ι → Measure α) :
((sum fun i : s => μ i) + sum fun i : ↥sᶜ => μ i) = sum μ := by
ext1 t ht
simp only [add_apply, sum_apply _ ht]
exact ENNReal.summable.tsum_add_tsum_compl (f := fun i => μ i t) ENNReal.summable
theorem sum_congr {μ ν : ℕ → Measure α} (h : ∀ n, μ n = ν n) : sum μ = sum ν :=
congr_arg sum (funext h)
theorem sum_add_sum {ι : Type*} (μ ν : ι → Measure α) : sum μ + sum ν = sum fun n => μ n + ν n := by
ext1 s hs
simp only [add_apply, sum_apply _ hs, Pi.add_apply, coe_add,
ENNReal.summable.tsum_add ENNReal.summable]
@[simp] lemma sum_comp_equiv {ι ι' : Type*} (e : ι' ≃ ι) (m : ι → Measure α) :
sum (m ∘ e) = sum m := by
ext s hs
simpa [hs, sum_apply] using e.tsum_eq (fun n ↦ m n s)
@[simp] lemma sum_extend_zero {ι ι' : Type*} {f : ι → ι'} (hf : Injective f) (m : ι → Measure α) :
sum (Function.extend f m 0) = sum m := by
ext s hs
simp [*, Function.apply_extend (fun μ : Measure α ↦ μ s)]
end Sum
/-! ### The `cofinite` filter -/
/-- The filter of sets `s` such that `sᶜ` has finite measure. -/
def cofinite {m0 : MeasurableSpace α} (μ : Measure α) : Filter α :=
comk (μ · < ∞) (by simp) (fun _ ht _ hs ↦ (measure_mono hs).trans_lt ht) fun s hs t ht ↦
(measure_union_le s t).trans_lt <| ENNReal.add_lt_top.2 ⟨hs, ht⟩
theorem mem_cofinite : s ∈ μ.cofinite ↔ μ sᶜ < ∞ :=
Iff.rfl
theorem compl_mem_cofinite : sᶜ ∈ μ.cofinite ↔ μ s < ∞ := by rw [mem_cofinite, compl_compl]
theorem eventually_cofinite {p : α → Prop} : (∀ᶠ x in μ.cofinite, p x) ↔ μ { x | ¬p x } < ∞ :=
Iff.rfl
instance cofinite.instIsMeasurablyGenerated : IsMeasurablyGenerated μ.cofinite where
exists_measurable_subset s hs := by
refine ⟨(toMeasurable μ sᶜ)ᶜ, ?_, (measurableSet_toMeasurable _ _).compl, ?_⟩
· rwa [compl_mem_cofinite, measure_toMeasurable]
· rw [compl_subset_comm]
apply subset_toMeasurable
end Measure
open Measure
open MeasureTheory
protected theorem _root_.AEMeasurable.nullMeasurable {f : α → β} (h : AEMeasurable f μ) :
NullMeasurable f μ :=
let ⟨_g, hgm, hg⟩ := h; hgm.nullMeasurable.congr hg.symm
lemma _root_.AEMeasurable.nullMeasurableSet_preimage {f : α → β} {s : Set β}
(hf : AEMeasurable f μ) (hs : MeasurableSet s) : NullMeasurableSet (f ⁻¹' s) μ :=
hf.nullMeasurable hs
@[simp]
theorem ae_eq_bot : ae μ = ⊥ ↔ μ = 0 := by
rw [← empty_mem_iff_bot, mem_ae_iff, compl_empty, measure_univ_eq_zero]
@[simp]
theorem ae_neBot : (ae μ).NeBot ↔ μ ≠ 0 :=
neBot_iff.trans (not_congr ae_eq_bot)
instance Measure.ae.neBot [NeZero μ] : (ae μ).NeBot := ae_neBot.2 <| NeZero.ne μ
@[simp]
theorem ae_zero {_m0 : MeasurableSpace α} : ae (0 : Measure α) = ⊥ :=
ae_eq_bot.2 rfl
section Intervals
theorem biSup_measure_Iic [Preorder α] {s : Set α} (hsc : s.Countable)
(hst : ∀ x : α, ∃ y ∈ s, x ≤ y) (hdir : DirectedOn (· ≤ ·) s) :
⨆ x ∈ s, μ (Iic x) = μ univ := by
rw [← measure_biUnion_eq_iSup hsc]
· congr
simp only [← bex_def] at hst
exact iUnion₂_eq_univ_iff.2 hst
· exact directedOn_iff_directed.2 (hdir.directed_val.mono_comp _ fun x y => Iic_subset_Iic.2)
theorem tendsto_measure_Ico_atTop [Preorder α] [NoMaxOrder α]
[(atTop : Filter α).IsCountablyGenerated] (μ : Measure α) (a : α) :
Tendsto (fun x => μ (Ico a x)) atTop (𝓝 (μ (Ici a))) := by
rw [← iUnion_Ico_right]
exact tendsto_measure_iUnion_atTop (antitone_const.Ico monotone_id)
theorem tendsto_measure_Ioc_atBot [Preorder α] [NoMinOrder α]
[(atBot : Filter α).IsCountablyGenerated] (μ : Measure α) (a : α) :
Tendsto (fun x => μ (Ioc x a)) atBot (𝓝 (μ (Iic a))) := by
rw [← iUnion_Ioc_left]
exact tendsto_measure_iUnion_atBot (monotone_id.Ioc antitone_const)
theorem tendsto_measure_Iic_atTop [Preorder α] [(atTop : Filter α).IsCountablyGenerated]
(μ : Measure α) : Tendsto (fun x => μ (Iic x)) atTop (𝓝 (μ univ)) := by
rw [← iUnion_Iic]
exact tendsto_measure_iUnion_atTop monotone_Iic
theorem tendsto_measure_Ici_atBot [Preorder α] [(atBot : Filter α).IsCountablyGenerated]
(μ : Measure α) : Tendsto (fun x => μ (Ici x)) atBot (𝓝 (μ univ)) :=
tendsto_measure_Iic_atTop (α := αᵒᵈ) μ
variable [PartialOrder α] {a b : α}
theorem Iio_ae_eq_Iic' (ha : μ {a} = 0) : Iio a =ᵐ[μ] Iic a := by
rw [← Iic_diff_right, diff_ae_eq_self, measure_mono_null Set.inter_subset_right ha]
theorem Ioi_ae_eq_Ici' (ha : μ {a} = 0) : Ioi a =ᵐ[μ] Ici a :=
Iio_ae_eq_Iic' (α := αᵒᵈ) ha
theorem Ioo_ae_eq_Ioc' (hb : μ {b} = 0) : Ioo a b =ᵐ[μ] Ioc a b :=
(ae_eq_refl _).inter (Iio_ae_eq_Iic' hb)
theorem Ioc_ae_eq_Icc' (ha : μ {a} = 0) : Ioc a b =ᵐ[μ] Icc a b :=
(Ioi_ae_eq_Ici' ha).inter (ae_eq_refl _)
theorem Ioo_ae_eq_Ico' (ha : μ {a} = 0) : Ioo a b =ᵐ[μ] Ico a b :=
(Ioi_ae_eq_Ici' ha).inter (ae_eq_refl _)
theorem Ioo_ae_eq_Icc' (ha : μ {a} = 0) (hb : μ {b} = 0) : Ioo a b =ᵐ[μ] Icc a b :=
(Ioi_ae_eq_Ici' ha).inter (Iio_ae_eq_Iic' hb)
theorem Ico_ae_eq_Icc' (hb : μ {b} = 0) : Ico a b =ᵐ[μ] Icc a b :=
(ae_eq_refl _).inter (Iio_ae_eq_Iic' hb)
theorem Ico_ae_eq_Ioc' (ha : μ {a} = 0) (hb : μ {b} = 0) : Ico a b =ᵐ[μ] Ioc a b :=
(Ioo_ae_eq_Ico' ha).symm.trans (Ioo_ae_eq_Ioc' hb)
end Intervals
end
end MeasureTheory
end
| Mathlib/MeasureTheory/Measure/MeasureSpace.lean | 1,655 | 1,656 | |
/-
Copyright (c) 2022 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import Mathlib.Data.DFinsupp.BigOperators
import Mathlib.Data.DFinsupp.Order
/-!
# Equivalence between `Multiset` and `ℕ`-valued finitely supported functions
This defines `DFinsupp.toMultiset` the equivalence between `Π₀ a : α, ℕ` and `Multiset α`, along
with `Multiset.toDFinsupp` the reverse equivalence.
-/
open Function
variable {α : Type*}
namespace DFinsupp
/-- Non-dependent special case of `DFinsupp.addZeroClass` to help typeclass search. -/
instance addZeroClass' {β} [AddZeroClass β] : AddZeroClass (Π₀ _ : α, β) :=
@DFinsupp.addZeroClass α (fun _ ↦ β) _
variable [DecidableEq α]
/-- A DFinsupp version of `Finsupp.toMultiset`. -/
def toMultiset : (Π₀ _ : α, ℕ) →+ Multiset α :=
DFinsupp.sumAddHom fun a : α ↦ Multiset.replicateAddMonoidHom a
@[simp]
theorem toMultiset_single (a : α) (n : ℕ) :
toMultiset (DFinsupp.single a n) = Multiset.replicate n a :=
DFinsupp.sumAddHom_single _ _ _
end DFinsupp
namespace Multiset
variable [DecidableEq α] {s t : Multiset α}
/-- A DFinsupp version of `Multiset.toFinsupp`. -/
def toDFinsupp : Multiset α →+ Π₀ _ : α, ℕ where
toFun s :=
{ toFun := fun n ↦ s.count n
support' := Trunc.mk ⟨s, fun i ↦ (em (i ∈ s)).imp_right Multiset.count_eq_zero_of_not_mem⟩ }
map_zero' := rfl
map_add' _ _ := DFinsupp.ext fun _ ↦ Multiset.count_add _ _ _
@[simp]
theorem toDFinsupp_apply (s : Multiset α) (a : α) : Multiset.toDFinsupp s a = s.count a :=
rfl
@[simp]
theorem toDFinsupp_support (s : Multiset α) : s.toDFinsupp.support = s.toFinset :=
Finset.filter_true_of_mem fun _ hx ↦ count_ne_zero.mpr <| Multiset.mem_toFinset.1 hx
@[simp]
theorem toDFinsupp_replicate (a : α) (n : ℕ) :
toDFinsupp (Multiset.replicate n a) = DFinsupp.single a n := by
ext i
dsimp [toDFinsupp]
simp [count_replicate, eq_comm]
@[simp]
theorem toDFinsupp_singleton (a : α) : toDFinsupp {a} = DFinsupp.single a 1 := by
rw [← replicate_one, toDFinsupp_replicate]
/-- `Multiset.toDFinsupp` as an `AddEquiv`. -/
@[simps! apply symm_apply]
def equivDFinsupp : Multiset α ≃+ Π₀ _ : α, ℕ :=
AddMonoidHom.toAddEquiv Multiset.toDFinsupp DFinsupp.toMultiset (by ext; simp) (by ext; simp)
@[simp]
theorem toDFinsupp_toMultiset (s : Multiset α) : DFinsupp.toMultiset (Multiset.toDFinsupp s) = s :=
equivDFinsupp.symm_apply_apply s
theorem toDFinsupp_injective : Injective (toDFinsupp : Multiset α → Π₀ _a, ℕ) :=
equivDFinsupp.injective
@[simp]
theorem toDFinsupp_inj : toDFinsupp s = toDFinsupp t ↔ s = t :=
toDFinsupp_injective.eq_iff
@[simp]
theorem toDFinsupp_le_toDFinsupp : toDFinsupp s ≤ toDFinsupp t ↔ s ≤ t := by
simp [Multiset.le_iff_count, DFinsupp.le_def]
@[simp]
theorem toDFinsupp_lt_toDFinsupp : toDFinsupp s < toDFinsupp t ↔ s < t :=
lt_iff_lt_of_le_iff_le' toDFinsupp_le_toDFinsupp toDFinsupp_le_toDFinsupp
@[simp]
theorem toDFinsupp_inter (s t : Multiset α) : toDFinsupp (s ∩ t) = toDFinsupp s ⊓ toDFinsupp t := by
ext i; simp
@[simp]
theorem toDFinsupp_union (s t : Multiset α) : toDFinsupp (s ∪ t) = toDFinsupp s ⊔ toDFinsupp t := by
ext i; simp
end Multiset
namespace DFinsupp
variable [DecidableEq α] {f g : Π₀ _a : α, ℕ}
@[simp]
theorem toMultiset_toDFinsupp (f : Π₀ _ : α, ℕ) :
Multiset.toDFinsupp (DFinsupp.toMultiset f) = f :=
Multiset.equivDFinsupp.apply_symm_apply f
theorem toMultiset_injective : Injective (toMultiset : (Π₀ _a, ℕ) → Multiset α) :=
Multiset.equivDFinsupp.symm.injective
@[simp]
theorem toMultiset_inj : toMultiset f = toMultiset g ↔ f = g :=
toMultiset_injective.eq_iff
@[simp]
theorem toMultiset_le_toMultiset : toMultiset f ≤ toMultiset g ↔ f ≤ g := by
simp_rw [← Multiset.toDFinsupp_le_toDFinsupp, toMultiset_toDFinsupp]
@[simp]
theorem toMultiset_lt_toMultiset : toMultiset f < toMultiset g ↔ f < g := by
simp_rw [← Multiset.toDFinsupp_lt_toDFinsupp, toMultiset_toDFinsupp]
variable (f g)
@[simp]
theorem toMultiset_inf : toMultiset (f ⊓ g) = toMultiset f ∩ toMultiset g :=
Multiset.toDFinsupp_injective <| by simp
@[simp]
theorem toMultiset_sup : toMultiset (f ⊔ g) = toMultiset f∪ toMultiset g :=
Multiset.toDFinsupp_injective <| by simp
end DFinsupp
| Mathlib/Data/DFinsupp/Multiset.lean | 147 | 148 | |
/-
Copyright (c) 2023 Dagur Asgeirsson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Dagur Asgeirsson
-/
import Mathlib.LinearAlgebra.Dimension.Free
import Mathlib.Algebra.Homology.ShortComplex.ModuleCat
/-!
# Exact sequences with free modules
This file proves results about linear independence and span in exact sequences of modules.
## Main theorems
* `linearIndependent_shortExact`: Given a short exact sequence `0 ⟶ X₁ ⟶ X₂ ⟶ X₃ ⟶ 0` of
`R`-modules and linearly independent families `v : ι → X₁` and `w : ι' → X₃`, we get a linearly
independent family `ι ⊕ ι' → X₂`
* `span_rightExact`: Given an exact sequence `X₁ ⟶ X₂ ⟶ X₃ ⟶ 0` of `R`-modules and spanning
families `v : ι → X₁` and `w : ι' → X₃`, we get a spanning family `ι ⊕ ι' → X₂`
* Using `linearIndependent_shortExact` and `span_rightExact`, we prove `free_shortExact`: In a
short exact sequence `0 ⟶ X₁ ⟶ X₂ ⟶ X₃ ⟶ 0` where `X₁` and `X₃` are free, `X₂` is free as well.
## Tags
linear algebra, module, free
-/
open CategoryTheory Module
namespace ModuleCat
variable {ι ι' R : Type*} [Ring R] {S : ShortComplex (ModuleCat R)}
(hS : S.Exact) (hS' : S.ShortExact) {v : ι → S.X₁}
open CategoryTheory Submodule Set
section LinearIndependent
variable (hv : LinearIndependent R v) {u : ι ⊕ ι' → S.X₂}
(hw : LinearIndependent R (S.g ∘ u ∘ Sum.inr))
(hm : Mono S.f) (huv : u ∘ Sum.inl = S.f ∘ v)
section
include hS hw huv
theorem disjoint_span_sum : Disjoint (span R (range (u ∘ Sum.inl)))
(span R (range (u ∘ Sum.inr))) := by
rw [huv, disjoint_comm]
refine Disjoint.mono_right (span_mono (range_comp_subset_range _ _)) ?_
rw [← LinearMap.range_coe, span_eq (LinearMap.range S.f.hom), hS.moduleCat_range_eq_ker]
exact range_ker_disjoint hw
include hv hm in
/-- In the commutative diagram
```
f g
0 --→ X₁ --→ X₂ --→ X₃
↑ ↑ ↑
v| u| w|
ι → ι ⊕ ι' ← ι'
```
where the top row is an exact sequence of modules and the maps on the bottom are `Sum.inl` and
`Sum.inr`. If `u` is injective and `v` and `w` are linearly independent, then `u` is linearly
independent. -/
theorem linearIndependent_leftExact : LinearIndependent R u := by
rw [linearIndependent_sum]
refine ⟨?_, LinearIndependent.of_comp S.g.hom hw, disjoint_span_sum hS hw huv⟩
rw [huv, LinearMap.linearIndependent_iff S.f.hom]; swap
· rw [LinearMap.ker_eq_bot, ← mono_iff_injective]
infer_instance
exact hv
end
include hS' hv in
/-- Given a short exact sequence `0 ⟶ X₁ ⟶ X₂ ⟶ X₃ ⟶ 0` of `R`-modules and linearly independent
families `v : ι → N` and `w : ι' → P`, we get a linearly independent family `ι ⊕ ι' → M` -/
theorem linearIndependent_shortExact {w : ι' → S.X₃} (hw : LinearIndependent R w) :
LinearIndependent R (Sum.elim (S.f ∘ v) (S.g.hom.toFun.invFun ∘ w)) := by
apply linearIndependent_leftExact hS'.exact hv _ hS'.mono_f rfl
dsimp
convert hw
ext
apply Function.rightInverse_invFun ((epi_iff_surjective _).mp hS'.epi_g)
end LinearIndependent
section Span
include hS in
/-- In the commutative diagram
```
f g
X₁ --→ X₂ --→ X₃
↑ ↑ ↑
v| u| w|
ι → ι ⊕ ι' ← ι'
```
where the top row is an exact sequence of modules and the maps on the bottom are `Sum.inl` and
`Sum.inr`. If `v` spans `X₁` and `w` spans `X₃`, then `u` spans `X₂`. -/
theorem span_exact {β : Type*} {u : ι ⊕ β → S.X₂} (huv : u ∘ Sum.inl = S.f ∘ v)
(hv : ⊤ ≤ span R (range v))
(hw : ⊤ ≤ span R (range (S.g ∘ u ∘ Sum.inr))) :
⊤ ≤ span R (range u) := by
intro m _
have hgm : S.g m ∈ span R (range (S.g ∘ u ∘ Sum.inr)) := hw mem_top
rw [Finsupp.mem_span_range_iff_exists_finsupp] at hgm
obtain ⟨cm, hm⟩ := hgm
let m' : S.X₂ := Finsupp.sum cm fun j a ↦ a • (u (Sum.inr j))
have hsub : m - m' ∈ LinearMap.range S.f.hom := by
rw [hS.moduleCat_range_eq_ker]
simp only [LinearMap.mem_ker, map_sub, sub_eq_zero]
rw [← hm, map_finsuppSum]
simp only [Function.comp_apply, map_smul]
obtain ⟨n, hnm⟩ := hsub
have hn : n ∈ span R (range v) := hv mem_top
rw [Finsupp.mem_span_range_iff_exists_finsupp] at hn
obtain ⟨cn, hn⟩ := hn
rw [← hn, map_finsuppSum] at hnm
rw [← sub_add_cancel m m', ← hnm,]
simp only [map_smul]
have hn' : (Finsupp.sum cn fun a b ↦ b • S.f (v a)) =
(Finsupp.sum cn fun a b ↦ b • u (Sum.inl a)) := by
congr; ext a b; rw [← Function.comp_apply (f := S.f), ← huv, Function.comp_apply]
rw [hn']
apply add_mem
· rw [Finsupp.mem_span_range_iff_exists_finsupp]
use cn.mapDomain (Sum.inl)
rw [Finsupp.sum_mapDomain_index_inj Sum.inl_injective]
· rw [Finsupp.mem_span_range_iff_exists_finsupp]
use cm.mapDomain (Sum.inr)
rw [Finsupp.sum_mapDomain_index_inj Sum.inr_injective]
include hS in
/-- Given an exact sequence `X₁ ⟶ X₂ ⟶ X₃ ⟶ 0` of `R`-modules and spanning
families `v : ι → X₁` and `w : ι' → X₃`, we get a spanning family `ι ⊕ ι' → X₂` -/
theorem span_rightExact {w : ι' → S.X₃} (hv : ⊤ ≤ span R (range v))
(hw : ⊤ ≤ span R (range w)) (hE : Epi S.g) :
⊤ ≤ span R (range (Sum.elim (S.f ∘ v) (S.g.hom.toFun.invFun ∘ w))) := by
refine span_exact hS ?_ hv ?_
· simp only [AddHom.toFun_eq_coe, LinearMap.coe_toAddHom, Sum.elim_comp_inl]
· convert hw
simp only [AddHom.toFun_eq_coe, LinearMap.coe_toAddHom, Sum.elim_comp_inr]
rw [ModuleCat.epi_iff_surjective] at hE
rw [← Function.comp_assoc, Function.RightInverse.comp_eq_id (Function.rightInverse_invFun hE),
Function.id_comp]
end Span
/-- In a short exact sequence `0 ⟶ X₁ ⟶ X₂ ⟶ X₃ ⟶ 0`, given bases for `X₁` and `X₃`
indexed by `ι` and `ι'` respectively, we get a basis for `X₂` indexed by `ι ⊕ ι'`. -/
noncomputable
def Basis.ofShortExact
(bN : Basis ι R S.X₁) (bP : Basis ι' R S.X₃) : Basis (ι ⊕ ι') R S.X₂ :=
| Basis.mk (linearIndependent_shortExact hS' bN.linearIndependent bP.linearIndependent)
(span_rightExact hS'.exact (le_of_eq (bN.span_eq.symm)) (le_of_eq (bP.span_eq.symm)) hS'.epi_g)
include hS'
/-- In a short exact sequence `0 ⟶ X₁ ⟶ X₂ ⟶ X₃ ⟶ 0`, if `X₁` and `X₃` are free,
then `X₂` is free. -/
theorem free_shortExact [Module.Free R S.X₁] [Module.Free R S.X₃] :
| Mathlib/Algebra/Category/ModuleCat/Free.lean | 157 | 164 |
/-
Copyright (c) 2019 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Algebra.Algebra.Bilinear
import Mathlib.Algebra.Algebra.Opposite
import Mathlib.Algebra.Group.Pointwise.Finset.Basic
import Mathlib.Algebra.Group.Pointwise.Set.BigOperators
import Mathlib.Algebra.Module.Submodule.Pointwise
import Mathlib.Algebra.Ring.NonZeroDivisors
import Mathlib.Algebra.Ring.Submonoid.Pointwise
import Mathlib.Data.Set.Semiring
import Mathlib.GroupTheory.GroupAction.SubMulAction.Pointwise
/-!
# Multiplication and division of submodules of an algebra.
An interface for multiplication and division of sub-R-modules of an R-algebra A is developed.
## Main definitions
Let `R` be a commutative ring (or semiring) and let `A` be an `R`-algebra.
* `1 : Submodule R A` : the R-submodule R of the R-algebra A
* `Mul (Submodule R A)` : multiplication of two sub-R-modules M and N of A is defined to be
the smallest submodule containing all the products `m * n`.
* `Div (Submodule R A)` : `I / J` is defined to be the submodule consisting of all `a : A` such
that `a • J ⊆ I`
It is proved that `Submodule R A` is a semiring, and also an algebra over `Set A`.
Additionally, in the `Pointwise` locale we promote `Submodule.pointwiseDistribMulAction` to a
`MulSemiringAction` as `Submodule.pointwiseMulSemiringAction`.
When `R` is not necessarily commutative, and `A` is merely a `R`-module with a ring structure
such that `IsScalarTower R A A` holds (equivalent to the data of a ring homomorphism `R →+* A`
by `ringHomEquivModuleIsScalarTower`), we can still define `1 : Submodule R A` and
`Mul (Submodule R A)`, but `1` is only a left identity, not necessarily a right one.
## Tags
multiplication of submodules, division of submodules, submodule semiring
-/
universe uι u v
open Algebra Set MulOpposite
open Pointwise
namespace SubMulAction
variable {R : Type u} {A : Type v} [CommSemiring R] [Semiring A] [Algebra R A]
theorem algebraMap_mem (r : R) : algebraMap R A r ∈ (1 : SubMulAction R A) :=
⟨r, (algebraMap_eq_smul_one r).symm⟩
theorem mem_one' {x : A} : x ∈ (1 : SubMulAction R A) ↔ ∃ y, algebraMap R A y = x :=
exists_congr fun r => by rw [algebraMap_eq_smul_one]
end SubMulAction
namespace Submodule
section Module
variable {R : Type u} [Semiring R] {A : Type v} [Semiring A] [Module R A]
-- TODO: Why is this in a file about `Algebra`?
-- TODO: potentially change this back to `LinearMap.range (Algebra.linearMap R A)`
-- once a version of `Algebra` without the `commutes'` field is introduced.
-- See issue https://github.com/leanprover-community/mathlib4/issues/18110.
/-- `1 : Submodule R A` is the submodule `R ∙ 1` of `A`.
-/
instance one : One (Submodule R A) :=
⟨LinearMap.range (LinearMap.toSpanSingleton R A 1)⟩
theorem one_eq_span : (1 : Submodule R A) = R ∙ 1 :=
(LinearMap.span_singleton_eq_range _ _ _).symm
theorem le_one_toAddSubmonoid : 1 ≤ (1 : Submodule R A).toAddSubmonoid := by
rintro x ⟨n, rfl⟩
exact ⟨n, show (n : R) • (1 : A) = n by rw [Nat.cast_smul_eq_nsmul, nsmul_one]⟩
@[simp]
theorem toSubMulAction_one : (1 : Submodule R A).toSubMulAction = 1 :=
SetLike.ext fun _ ↦ by rw [one_eq_span, SubMulAction.mem_one]; exact mem_span_singleton
theorem one_eq_span_one_set : (1 : Submodule R A) = span R 1 :=
one_eq_span
@[simp]
theorem one_le {P : Submodule R A} : (1 : Submodule R A) ≤ P ↔ (1 : A) ∈ P := by
simp [one_eq_span]
variable {M : Type*} [AddCommMonoid M] [Module R M] [Module A M] [IsScalarTower R A M]
instance : SMul (Submodule R A) (Submodule R M) where
smul A' M' :=
{ __ := A'.toAddSubmonoid • M'.toAddSubmonoid
smul_mem' := fun r m hm ↦ AddSubmonoid.smul_induction_on hm
(fun a ha m hm ↦ by rw [← smul_assoc]; exact AddSubmonoid.smul_mem_smul (A'.smul_mem r ha) hm)
fun m₁ m₂ h₁ h₂ ↦ by rw [smul_add]; exact (A'.1 • M'.1).add_mem h₁ h₂ }
section
variable {I J : Submodule R A} {N P : Submodule R M}
theorem smul_toAddSubmonoid : (I • N).toAddSubmonoid = I.toAddSubmonoid • N.toAddSubmonoid := rfl
theorem smul_mem_smul {r} {n} (hr : r ∈ I) (hn : n ∈ N) : r • n ∈ I • N :=
AddSubmonoid.smul_mem_smul hr hn
theorem smul_le : I • N ≤ P ↔ ∀ r ∈ I, ∀ n ∈ N, r • n ∈ P :=
AddSubmonoid.smul_le
@[simp, norm_cast]
lemma coe_set_smul : (I : Set A) • N = I • N :=
set_smul_eq_of_le _ _ _
(fun _ _ hr hx ↦ smul_mem_smul hr hx)
(smul_le.mpr fun _ hr _ hx ↦ mem_set_smul_of_mem_mem hr hx)
@[elab_as_elim]
theorem smul_induction_on {p : M → Prop} {x} (H : x ∈ I • N) (smul : ∀ r ∈ I, ∀ n ∈ N, p (r • n))
(add : ∀ x y, p x → p y → p (x + y)) : p x :=
AddSubmonoid.smul_induction_on H smul add
/-- Dependent version of `Submodule.smul_induction_on`. -/
@[elab_as_elim]
theorem smul_induction_on' {x : M} (hx : x ∈ I • N) {p : ∀ x, x ∈ I • N → Prop}
(smul : ∀ (r : A) (hr : r ∈ I) (n : M) (hn : n ∈ N), p (r • n) (smul_mem_smul hr hn))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (add_mem ‹_› ‹_›)) : p x hx := by
refine Exists.elim ?_ fun (h : x ∈ I • N) (H : p x h) ↦ H
exact smul_induction_on hx (fun a ha x hx ↦ ⟨_, smul _ ha _ hx⟩)
fun x y ⟨_, hx⟩ ⟨_, hy⟩ ↦ ⟨_, add _ _ _ _ hx hy⟩
theorem smul_mono (hij : I ≤ J) (hnp : N ≤ P) : I • N ≤ J • P :=
AddSubmonoid.smul_le_smul hij hnp
theorem smul_mono_left (h : I ≤ J) : I • N ≤ J • N :=
smul_mono h le_rfl
instance : CovariantClass (Submodule R A) (Submodule R M) HSMul.hSMul LE.le :=
⟨fun _ _ => smul_mono le_rfl⟩
variable (I J N P)
@[simp]
theorem smul_bot : I • (⊥ : Submodule R M) = ⊥ :=
toAddSubmonoid_injective <| AddSubmonoid.addSubmonoid_smul_bot _
@[simp]
theorem bot_smul : (⊥ : Submodule R A) • N = ⊥ :=
le_bot_iff.mp <| smul_le.mpr <| by rintro _ rfl _ _; rw [zero_smul]; exact zero_mem _
theorem smul_sup : I • (N ⊔ P) = I • N ⊔ I • P :=
toAddSubmonoid_injective <| by
simp only [smul_toAddSubmonoid, sup_toAddSubmonoid, AddSubmonoid.addSubmonoid_smul_sup]
theorem sup_smul : (I ⊔ J) • N = I • N ⊔ J • N :=
le_antisymm (smul_le.mpr fun mn hmn p hp ↦ by
obtain ⟨m, hm, n, hn, rfl⟩ := mem_sup.mp hmn
rw [add_smul]; exact add_mem_sup (smul_mem_smul hm hp) <| smul_mem_smul hn hp)
(sup_le (smul_mono_left le_sup_left) <| smul_mono_left le_sup_right)
protected theorem smul_assoc {B} [Semiring B] [Module R B] [Module A B] [Module B M]
[IsScalarTower R A B] [IsScalarTower R B M] [IsScalarTower A B M]
(I : Submodule R A) (J : Submodule R B) (N : Submodule R M) :
(I • J) • N = I • J • N :=
le_antisymm
(smul_le.2 fun _ hrsij t htn ↦ smul_induction_on hrsij
(fun r hr s hs ↦ smul_assoc r s t ▸ smul_mem_smul hr (smul_mem_smul hs htn))
fun x y ↦ (add_smul x y t).symm ▸ add_mem)
(smul_le.2 fun r hr _ hsn ↦ smul_induction_on hsn
(fun j hj n hn ↦ (smul_assoc r j n).symm ▸ smul_mem_smul (smul_mem_smul hr hj) hn)
fun m₁ m₂ ↦ (smul_add r m₁ m₂) ▸ add_mem)
theorem smul_iSup {ι : Sort*} {I : Submodule R A} {t : ι → Submodule R M} :
I • (⨆ i, t i)= ⨆ i, I • t i :=
toAddSubmonoid_injective <| by
simp only [smul_toAddSubmonoid, iSup_toAddSubmonoid, AddSubmonoid.smul_iSup]
theorem iSup_smul {ι : Sort*} {t : ι → Submodule R A} {N : Submodule R M} :
(⨆ i, t i) • N = ⨆ i, t i • N :=
le_antisymm (smul_le.mpr fun t ht s hs ↦ iSup_induction _ (motive := (· • s ∈ _)) ht
(fun i t ht ↦ mem_iSup_of_mem i <| smul_mem_smul ht hs)
(by simp_rw [zero_smul]; apply zero_mem) fun x y ↦ by simp_rw [add_smul]; apply add_mem)
(iSup_le fun i ↦ Submodule.smul_mono_left <| le_iSup _ i)
protected theorem one_smul : (1 : Submodule R A) • N = N := by
refine le_antisymm (smul_le.mpr fun r hr m hm ↦ ?_) fun m hm ↦ ?_
· obtain ⟨r, rfl⟩ := hr
rw [LinearMap.toSpanSingleton_apply, smul_one_smul]; exact N.smul_mem r hm
· rw [← one_smul A m]; exact smul_mem_smul (one_le.mp le_rfl) hm
theorem smul_subset_smul : (↑I : Set A) • (↑N : Set M) ⊆ (↑(I • N) : Set M) :=
AddSubmonoid.smul_subset_smul
end
variable [IsScalarTower R A A]
/-- Multiplication of sub-R-modules of an R-module A that is also a semiring. The submodule `M * N`
consists of finite sums of elements `m * n` for `m ∈ M` and `n ∈ N`. -/
instance mul : Mul (Submodule R A) where
mul := (· • ·)
variable (S T : Set A) {M N P Q : Submodule R A} {m n : A}
theorem mul_mem_mul (hm : m ∈ M) (hn : n ∈ N) : m * n ∈ M * N :=
smul_mem_smul hm hn
| theorem mul_le : M * N ≤ P ↔ ∀ m ∈ M, ∀ n ∈ N, m * n ∈ P :=
smul_le
| Mathlib/Algebra/Algebra/Operations.lean | 215 | 217 |
/-
Copyright (c) 2022 Alexander Bentkamp. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, Eric Wieser, Jeremy Avigad, Johan Commelin
-/
import Mathlib.Data.Matrix.Invertible
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.PosDef
/-! # 2×2 block matrices and the Schur complement
This file proves properties of 2×2 block matrices `[A B; C D]` that relate to the Schur complement
`D - C*A⁻¹*B`.
Some of the results here generalize to 2×2 matrices in a category, rather than just a ring. A few
results in this direction can be found in the file `Mathlib.CategoryTheory.Preadditive.Biproducts`,
especially the declarations `CategoryTheory.Biprod.gaussian` and `CategoryTheory.Biprod.isoElim`.
Compare with `Matrix.invertibleOfFromBlocks₁₁Invertible`.
## Main results
* `Matrix.det_fromBlocks₁₁`, `Matrix.det_fromBlocks₂₂`: determinant of a block matrix in terms of
the Schur complement.
* `Matrix.invOf_fromBlocks_zero₂₁_eq`, `Matrix.invOf_fromBlocks_zero₁₂_eq`: the inverse of a
block triangular matrix.
* `Matrix.isUnit_fromBlocks_zero₂₁`, `Matrix.isUnit_fromBlocks_zero₁₂`: invertibility of a
block triangular matrix.
* `Matrix.det_one_add_mul_comm`: the **Weinstein–Aronszajn identity**.
* `Matrix.PosSemidef.fromBlocks₁₁` and `Matrix.PosSemidef.fromBlocks₂₂`: If a matrix `A` is
positive definite, then `[A B; Bᴴ D]` is positive semidefinite if and only if `D - Bᴴ A⁻¹ B` is
positive semidefinite.
-/
variable {l m n α : Type*}
namespace Matrix
open scoped Matrix
section CommRing
variable [Fintype l] [Fintype m] [Fintype n]
variable [DecidableEq l] [DecidableEq m] [DecidableEq n]
variable [CommRing α]
/-- LDU decomposition of a block matrix with an invertible top-left corner, using the
Schur complement. -/
theorem fromBlocks_eq_of_invertible₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix l m α)
(D : Matrix l n α) [Invertible A] :
fromBlocks A B C D =
fromBlocks 1 0 (C * ⅟ A) 1 * fromBlocks A 0 0 (D - C * ⅟ A * B) *
fromBlocks 1 (⅟ A * B) 0 1 := by
simp only [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, add_zero, zero_add,
Matrix.one_mul, Matrix.mul_one, invOf_mul_self, Matrix.mul_invOf_cancel_left,
Matrix.invOf_mul_cancel_right, Matrix.mul_assoc, add_sub_cancel]
/-- LDU decomposition of a block matrix with an invertible bottom-right corner, using the
Schur complement. -/
theorem fromBlocks_eq_of_invertible₂₂ (A : Matrix l m α) (B : Matrix l n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible D] :
fromBlocks A B C D =
fromBlocks 1 (B * ⅟ D) 0 1 * fromBlocks (A - B * ⅟ D * C) 0 0 D *
fromBlocks 1 0 (⅟ D * C) 1 :=
(Matrix.reindex (Equiv.sumComm _ _) (Equiv.sumComm _ _)).injective <| by
simpa [reindex_apply, Equiv.sumComm_symm, ← submatrix_mul_equiv _ _ _ (Equiv.sumComm n m), ←
submatrix_mul_equiv _ _ _ (Equiv.sumComm n l), Equiv.sumComm_apply,
fromBlocks_submatrix_sum_swap_sum_swap] using fromBlocks_eq_of_invertible₁₁ D C B A
section Triangular
/-! #### Block triangular matrices -/
/-- An upper-block-triangular matrix is invertible if its diagonal is. -/
def fromBlocksZero₂₁Invertible (A : Matrix m m α) (B : Matrix m n α) (D : Matrix n n α)
[Invertible A] [Invertible D] : Invertible (fromBlocks A B 0 D) :=
invertibleOfLeftInverse _ (fromBlocks (⅟ A) (-(⅟ A * B * ⅟ D)) 0 (⅟ D)) <| by
simp_rw [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, zero_add, add_zero,
Matrix.neg_mul, invOf_mul_self, Matrix.invOf_mul_cancel_right, add_neg_cancel,
fromBlocks_one]
/-- A lower-block-triangular matrix is invertible if its diagonal is. -/
def fromBlocksZero₁₂Invertible (A : Matrix m m α) (C : Matrix n m α) (D : Matrix n n α)
[Invertible A] [Invertible D] : Invertible (fromBlocks A 0 C D) :=
invertibleOfLeftInverse _
(fromBlocks (⅟ A) 0 (-(⅟ D * C * ⅟ A))
(⅟ D)) <| by -- a symmetry argument is more work than just copying the proof
simp_rw [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, zero_add, add_zero,
Matrix.neg_mul, invOf_mul_self, Matrix.invOf_mul_cancel_right, neg_add_cancel,
fromBlocks_one]
theorem invOf_fromBlocks_zero₂₁_eq (A : Matrix m m α) (B : Matrix m n α) (D : Matrix n n α)
[Invertible A] [Invertible D] [Invertible (fromBlocks A B 0 D)] :
⅟ (fromBlocks A B 0 D) = fromBlocks (⅟ A) (-(⅟ A * B * ⅟ D)) 0 (⅟ D) := by
letI := fromBlocksZero₂₁Invertible A B D
convert (rfl : ⅟ (fromBlocks A B 0 D) = _)
theorem invOf_fromBlocks_zero₁₂_eq (A : Matrix m m α) (C : Matrix n m α) (D : Matrix n n α)
[Invertible A] [Invertible D] [Invertible (fromBlocks A 0 C D)] :
⅟ (fromBlocks A 0 C D) = fromBlocks (⅟ A) 0 (-(⅟ D * C * ⅟ A)) (⅟ D) := by
letI := fromBlocksZero₁₂Invertible A C D
convert (rfl : ⅟ (fromBlocks A 0 C D) = _)
/-- Both diagonal entries of an invertible upper-block-triangular matrix are invertible (by reading
off the diagonal entries of the inverse). -/
def invertibleOfFromBlocksZero₂₁Invertible (A : Matrix m m α) (B : Matrix m n α) (D : Matrix n n α)
[Invertible (fromBlocks A B 0 D)] : Invertible A × Invertible D where
fst :=
invertibleOfLeftInverse _ (⅟ (fromBlocks A B 0 D)).toBlocks₁₁ <| by
have := invOf_mul_self (fromBlocks A B 0 D)
rw [← fromBlocks_toBlocks (⅟ (fromBlocks A B 0 D)), fromBlocks_multiply] at this
replace := congr_arg Matrix.toBlocks₁₁ this
simpa only [Matrix.toBlocks_fromBlocks₁₁, Matrix.mul_zero, add_zero, ← fromBlocks_one] using
this
snd :=
invertibleOfRightInverse _ (⅟ (fromBlocks A B 0 D)).toBlocks₂₂ <| by
have := mul_invOf_self (fromBlocks A B 0 D)
rw [← fromBlocks_toBlocks (⅟ (fromBlocks A B 0 D)), fromBlocks_multiply] at this
replace := congr_arg Matrix.toBlocks₂₂ this
simpa only [Matrix.toBlocks_fromBlocks₂₂, Matrix.zero_mul, zero_add, ← fromBlocks_one] using
this
/-- Both diagonal entries of an invertible lower-block-triangular matrix are invertible (by reading
off the diagonal entries of the inverse). -/
def invertibleOfFromBlocksZero₁₂Invertible (A : Matrix m m α) (C : Matrix n m α) (D : Matrix n n α)
[Invertible (fromBlocks A 0 C D)] : Invertible A × Invertible D where
fst :=
invertibleOfRightInverse _ (⅟ (fromBlocks A 0 C D)).toBlocks₁₁ <| by
have := mul_invOf_self (fromBlocks A 0 C D)
rw [← fromBlocks_toBlocks (⅟ (fromBlocks A 0 C D)), fromBlocks_multiply] at this
replace := congr_arg Matrix.toBlocks₁₁ this
simpa only [Matrix.toBlocks_fromBlocks₁₁, Matrix.zero_mul, add_zero, ← fromBlocks_one] using
this
snd :=
invertibleOfLeftInverse _ (⅟ (fromBlocks A 0 C D)).toBlocks₂₂ <| by
have := invOf_mul_self (fromBlocks A 0 C D)
rw [← fromBlocks_toBlocks (⅟ (fromBlocks A 0 C D)), fromBlocks_multiply] at this
replace := congr_arg Matrix.toBlocks₂₂ this
simpa only [Matrix.toBlocks_fromBlocks₂₂, Matrix.mul_zero, zero_add, ← fromBlocks_one] using
this
/-- `invertibleOfFromBlocksZero₂₁Invertible` and `Matrix.fromBlocksZero₂₁Invertible` form
an equivalence. -/
def fromBlocksZero₂₁InvertibleEquiv (A : Matrix m m α) (B : Matrix m n α) (D : Matrix n n α) :
Invertible (fromBlocks A B 0 D) ≃ Invertible A × Invertible D where
toFun _ := invertibleOfFromBlocksZero₂₁Invertible A B D
invFun i := by
letI := i.1
letI := i.2
exact fromBlocksZero₂₁Invertible A B D
left_inv _ := Subsingleton.elim _ _
right_inv _ := Subsingleton.elim _ _
/-- `invertibleOfFromBlocksZero₁₂Invertible` and `Matrix.fromBlocksZero₁₂Invertible` form
an equivalence. -/
def fromBlocksZero₁₂InvertibleEquiv (A : Matrix m m α) (C : Matrix n m α) (D : Matrix n n α) :
Invertible (fromBlocks A 0 C D) ≃ Invertible A × Invertible D where
toFun _ := invertibleOfFromBlocksZero₁₂Invertible A C D
invFun i := by
letI := i.1
letI := i.2
exact fromBlocksZero₁₂Invertible A C D
left_inv _ := Subsingleton.elim _ _
right_inv _ := Subsingleton.elim _ _
/-- An upper block-triangular matrix is invertible iff both elements of its diagonal are.
This is a propositional form of `Matrix.fromBlocksZero₂₁InvertibleEquiv`. -/
@[simp]
theorem isUnit_fromBlocks_zero₂₁ {A : Matrix m m α} {B : Matrix m n α} {D : Matrix n n α} :
IsUnit (fromBlocks A B 0 D) ↔ IsUnit A ∧ IsUnit D := by
simp only [← nonempty_invertible_iff_isUnit, ← nonempty_prod,
(fromBlocksZero₂₁InvertibleEquiv _ _ _).nonempty_congr]
/-- A lower block-triangular matrix is invertible iff both elements of its diagonal are.
This is a propositional form of `Matrix.fromBlocksZero₁₂InvertibleEquiv` forms an `iff`. -/
@[simp]
theorem isUnit_fromBlocks_zero₁₂ {A : Matrix m m α} {C : Matrix n m α} {D : Matrix n n α} :
IsUnit (fromBlocks A 0 C D) ↔ IsUnit A ∧ IsUnit D := by
simp only [← nonempty_invertible_iff_isUnit, ← nonempty_prod,
(fromBlocksZero₁₂InvertibleEquiv _ _ _).nonempty_congr]
/-- An expression for the inverse of an upper block-triangular matrix, when either both elements of
diagonal are invertible, or both are not. -/
theorem inv_fromBlocks_zero₂₁_of_isUnit_iff (A : Matrix m m α) (B : Matrix m n α) (D : Matrix n n α)
(hAD : IsUnit A ↔ IsUnit D) :
(fromBlocks A B 0 D)⁻¹ = fromBlocks A⁻¹ (-(A⁻¹ * B * D⁻¹)) 0 D⁻¹ := by
by_cases hA : IsUnit A
· have hD := hAD.mp hA
cases hA.nonempty_invertible
cases hD.nonempty_invertible
letI := fromBlocksZero₂₁Invertible A B D
simp_rw [← invOf_eq_nonsing_inv, invOf_fromBlocks_zero₂₁_eq]
· have hD := hAD.not.mp hA
have : ¬IsUnit (fromBlocks A B 0 D) :=
isUnit_fromBlocks_zero₂₁.not.mpr (not_and'.mpr fun _ => hA)
simp_rw [nonsing_inv_eq_ringInverse, Ring.inverse_non_unit _ hA, Ring.inverse_non_unit _ hD,
Ring.inverse_non_unit _ this, Matrix.zero_mul, neg_zero, fromBlocks_zero]
/-- An expression for the inverse of a lower block-triangular matrix, when either both elements of
diagonal are invertible, or both are not. -/
theorem inv_fromBlocks_zero₁₂_of_isUnit_iff (A : Matrix m m α) (C : Matrix n m α) (D : Matrix n n α)
(hAD : IsUnit A ↔ IsUnit D) :
(fromBlocks A 0 C D)⁻¹ = fromBlocks A⁻¹ 0 (-(D⁻¹ * C * A⁻¹)) D⁻¹ := by
by_cases hA : IsUnit A
· have hD := hAD.mp hA
cases hA.nonempty_invertible
cases hD.nonempty_invertible
letI := fromBlocksZero₁₂Invertible A C D
simp_rw [← invOf_eq_nonsing_inv, invOf_fromBlocks_zero₁₂_eq]
· have hD := hAD.not.mp hA
have : ¬IsUnit (fromBlocks A 0 C D) :=
isUnit_fromBlocks_zero₁₂.not.mpr (not_and'.mpr fun _ => hA)
simp_rw [nonsing_inv_eq_ringInverse, Ring.inverse_non_unit _ hA, Ring.inverse_non_unit _ hD,
Ring.inverse_non_unit _ this, Matrix.zero_mul, neg_zero, fromBlocks_zero]
end Triangular
/-! ### 2×2 block matrices -/
section Block
/-! #### General 2×2 block matrices -/
/-- A block matrix is invertible if the bottom right corner and the corresponding schur complement
is. -/
def fromBlocks₂₂Invertible (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible D] [Invertible (A - B * ⅟ D * C)] :
Invertible (fromBlocks A B C D) := by
-- factor `fromBlocks` via `fromBlocks_eq_of_invertible₂₂`, and state the inverse we expect
convert Invertible.copy' _ _ (fromBlocks (⅟ (A - B * ⅟ D * C)) (-(⅟ (A - B * ⅟ D * C) * B * ⅟ D))
(-(⅟ D * C * ⅟ (A - B * ⅟ D * C))) (⅟ D + ⅟ D * C * ⅟ (A - B * ⅟ D * C) * B * ⅟ D))
(fromBlocks_eq_of_invertible₂₂ _ _ _ _) _
· -- the product is invertible because all the factors are
letI : Invertible (1 : Matrix n n α) := invertibleOne
letI : Invertible (1 : Matrix m m α) := invertibleOne
refine Invertible.mul ?_ (fromBlocksZero₁₂Invertible _ _ _)
exact
Invertible.mul (fromBlocksZero₂₁Invertible _ _ _)
(fromBlocksZero₂₁Invertible _ _ _)
· -- unfold the `Invertible` instances to get the raw factors
show
_ =
fromBlocks 1 0 (-(1 * (⅟ D * C) * 1)) 1 *
(fromBlocks (⅟ (A - B * ⅟ D * C)) (-(⅟ (A - B * ⅟ D * C) * 0 * ⅟ D)) 0 (⅟ D) *
fromBlocks 1 (-(1 * (B * ⅟ D) * 1)) 0 1)
-- combine into a single block matrix
simp only [fromBlocks_multiply, invOf_one, Matrix.one_mul, Matrix.mul_one, Matrix.zero_mul,
Matrix.mul_zero, add_zero, zero_add, neg_zero, Matrix.mul_neg, Matrix.neg_mul, neg_neg, ←
Matrix.mul_assoc, add_comm (⅟D)]
/-- A block matrix is invertible if the top left corner and the corresponding schur complement
is. -/
def fromBlocks₁₁Invertible (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible A] [Invertible (D - C * ⅟ A * B)] :
Invertible (fromBlocks A B C D) := by
-- we argue by symmetry
letI := fromBlocks₂₂Invertible D C B A
letI iDCBA :=
submatrixEquivInvertible (fromBlocks D C B A) (Equiv.sumComm _ _) (Equiv.sumComm _ _)
exact
iDCBA.copy' _
(fromBlocks (⅟ A + ⅟ A * B * ⅟ (D - C * ⅟ A * B) * C * ⅟ A) (-(⅟ A * B * ⅟ (D - C * ⅟ A * B)))
(-(⅟ (D - C * ⅟ A * B) * C * ⅟ A)) (⅟ (D - C * ⅟ A * B)))
(fromBlocks_submatrix_sum_swap_sum_swap _ _ _ _).symm
(fromBlocks_submatrix_sum_swap_sum_swap _ _ _ _).symm
theorem invOf_fromBlocks₂₂_eq (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible D] [Invertible (A - B * ⅟ D * C)]
[Invertible (fromBlocks A B C D)] :
⅟ (fromBlocks A B C D) =
fromBlocks (⅟ (A - B * ⅟ D * C)) (-(⅟ (A - B * ⅟ D * C) * B * ⅟ D))
(-(⅟ D * C * ⅟ (A - B * ⅟ D * C))) (⅟ D + ⅟ D * C * ⅟ (A - B * ⅟ D * C) * B * ⅟ D) := by
letI := fromBlocks₂₂Invertible A B C D
convert (rfl : ⅟ (fromBlocks A B C D) = _)
theorem invOf_fromBlocks₁₁_eq (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible A] [Invertible (D - C * ⅟ A * B)]
[Invertible (fromBlocks A B C D)] :
⅟ (fromBlocks A B C D) =
fromBlocks (⅟ A + ⅟ A * B * ⅟ (D - C * ⅟ A * B) * C * ⅟ A) (-(⅟ A * B * ⅟ (D - C * ⅟ A * B)))
(-(⅟ (D - C * ⅟ A * B) * C * ⅟ A)) (⅟ (D - C * ⅟ A * B)) := by
letI := fromBlocks₁₁Invertible A B C D
convert (rfl : ⅟ (fromBlocks A B C D) = _)
/-- If a block matrix is invertible and so is its bottom left element, then so is the corresponding
Schur complement. -/
def invertibleOfFromBlocks₂₂Invertible (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible D] [Invertible (fromBlocks A B C D)] :
Invertible (A - B * ⅟ D * C) := by
suffices Invertible (fromBlocks (A - B * ⅟ D * C) 0 0 D) by
exact (invertibleOfFromBlocksZero₁₂Invertible (A - B * ⅟ D * C) 0 D).1
letI : Invertible (1 : Matrix n n α) := invertibleOne
letI : Invertible (1 : Matrix m m α) := invertibleOne
letI iDC : Invertible (fromBlocks 1 0 (⅟ D * C) 1 : Matrix (m ⊕ n) (m ⊕ n) α) :=
fromBlocksZero₁₂Invertible _ _ _
letI iBD : Invertible (fromBlocks 1 (B * ⅟ D) 0 1 : Matrix (m ⊕ n) (m ⊕ n) α) :=
fromBlocksZero₂₁Invertible _ _ _
letI iBDC := Invertible.copy ‹_› _ (fromBlocks_eq_of_invertible₂₂ A B C D).symm
refine (iBD.mulLeft _).symm ?_
exact (iDC.mulRight _).symm iBDC
/-- If a block matrix is invertible and so is its bottom left element, then so is the corresponding
Schur complement. -/
def invertibleOfFromBlocks₁₁Invertible (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible A] [Invertible (fromBlocks A B C D)] :
Invertible (D - C * ⅟ A * B) := by
-- another symmetry argument
letI iABCD' :=
submatrixEquivInvertible (fromBlocks A B C D) (Equiv.sumComm _ _) (Equiv.sumComm _ _)
letI iDCBA := iABCD'.copy _ (fromBlocks_submatrix_sum_swap_sum_swap _ _ _ _).symm
exact invertibleOfFromBlocks₂₂Invertible D C B A
/-- `Matrix.invertibleOfFromBlocks₂₂Invertible` and `Matrix.fromBlocks₂₂Invertible` as an
equivalence. -/
def invertibleEquivFromBlocks₂₂Invertible (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible D] :
Invertible (fromBlocks A B C D) ≃ Invertible (A - B * ⅟ D * C) where
toFun _iABCD := invertibleOfFromBlocks₂₂Invertible _ _ _ _
invFun _i_schur := fromBlocks₂₂Invertible _ _ _ _
left_inv _iABCD := Subsingleton.elim _ _
right_inv _i_schur := Subsingleton.elim _ _
/-- `Matrix.invertibleOfFromBlocks₁₁Invertible` and `Matrix.fromBlocks₁₁Invertible` as an
equivalence. -/
def invertibleEquivFromBlocks₁₁Invertible (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible A] :
Invertible (fromBlocks A B C D) ≃ Invertible (D - C * ⅟ A * B) where
toFun _iABCD := invertibleOfFromBlocks₁₁Invertible _ _ _ _
invFun _i_schur := fromBlocks₁₁Invertible _ _ _ _
left_inv _iABCD := Subsingleton.elim _ _
right_inv _i_schur := Subsingleton.elim _ _
/-- If the bottom-left element of a block matrix is invertible, then the whole matrix is invertible
iff the corresponding schur complement is. -/
theorem isUnit_fromBlocks_iff_of_invertible₂₂ {A : Matrix m m α} {B : Matrix m n α}
{C : Matrix n m α} {D : Matrix n n α} [Invertible D] :
IsUnit (fromBlocks A B C D) ↔ IsUnit (A - B * ⅟ D * C) := by
simp only [← nonempty_invertible_iff_isUnit,
(invertibleEquivFromBlocks₂₂Invertible A B C D).nonempty_congr]
/-- If the top-right element of a block matrix is invertible, then the whole matrix is invertible
iff the corresponding schur complement is. -/
theorem isUnit_fromBlocks_iff_of_invertible₁₁ {A : Matrix m m α} {B : Matrix m n α}
{C : Matrix n m α} {D : Matrix n n α} [Invertible A] :
IsUnit (fromBlocks A B C D) ↔ IsUnit (D - C * ⅟ A * B) := by
simp only [← nonempty_invertible_iff_isUnit,
(invertibleEquivFromBlocks₁₁Invertible A B C D).nonempty_congr]
end Block
/-! ### Lemmas about `Matrix.det` -/
section Det
/-- Determinant of a 2×2 block matrix, expanded around an invertible top left element in terms of
the Schur complement. -/
theorem det_fromBlocks₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible A] :
(Matrix.fromBlocks A B C D).det = det A * det (D - C * ⅟ A * B) := by
rw [fromBlocks_eq_of_invertible₁₁ (A := A), det_mul, det_mul, det_fromBlocks_zero₂₁,
det_fromBlocks_zero₂₁, det_fromBlocks_zero₁₂, det_one, det_one, one_mul, one_mul, mul_one]
@[simp]
theorem det_fromBlocks_one₁₁ (B : Matrix m n α) (C : Matrix n m α) (D : Matrix n n α) :
(Matrix.fromBlocks 1 B C D).det = det (D - C * B) := by
haveI : Invertible (1 : Matrix m m α) := invertibleOne
rw [det_fromBlocks₁₁, invOf_one, Matrix.mul_one, det_one, one_mul]
/-- Determinant of a 2×2 block matrix, expanded around an invertible bottom right element in terms
of the Schur complement. -/
theorem det_fromBlocks₂₂ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible D] :
(Matrix.fromBlocks A B C D).det = det D * det (A - B * ⅟ D * C) := by
have : fromBlocks A B C D =
(fromBlocks D C B A).submatrix (Equiv.sumComm _ _) (Equiv.sumComm _ _) := by
ext (i j)
cases i <;> cases j <;> rfl
rw [this, det_submatrix_equiv_self, det_fromBlocks₁₁]
@[simp]
theorem det_fromBlocks_one₂₂ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α) :
(Matrix.fromBlocks A B C 1).det = det (A - B * C) := by
haveI : Invertible (1 : Matrix n n α) := invertibleOne
rw [det_fromBlocks₂₂, invOf_one, Matrix.mul_one, det_one, one_mul]
/-- The **Weinstein–Aronszajn identity**. Note the `1` on the LHS is of shape m×m, while the `1` on
the RHS is of shape n×n. -/
theorem det_one_add_mul_comm (A : Matrix m n α) (B : Matrix n m α) :
det (1 + A * B) = det (1 + B * A) :=
calc
det (1 + A * B) = det (fromBlocks 1 (-A) B 1) := by
rw [det_fromBlocks_one₂₂, Matrix.neg_mul, sub_neg_eq_add]
_ = det (1 + B * A) := by rw [det_fromBlocks_one₁₁, Matrix.mul_neg, sub_neg_eq_add]
/-- Alternate statement of the **Weinstein–Aronszajn identity** -/
theorem det_mul_add_one_comm (A : Matrix m n α) (B : Matrix n m α) :
det (A * B + 1) = det (B * A + 1) := by rw [add_comm, det_one_add_mul_comm, add_comm]
theorem det_one_sub_mul_comm (A : Matrix m n α) (B : Matrix n m α) :
det (1 - A * B) = det (1 - B * A) := by
rw [sub_eq_add_neg, ← Matrix.neg_mul, det_one_add_mul_comm, Matrix.mul_neg, ← sub_eq_add_neg]
/-- A special case of the **Matrix determinant lemma** for when `A = I`. -/
theorem det_one_add_replicateCol_mul_replicateRow {ι : Type*} [Unique ι] (u v : m → α) :
det (1 + replicateCol ι u * replicateRow ι v) = 1 + v ⬝ᵥ u := by
rw [det_one_add_mul_comm, det_unique, Pi.add_apply, Pi.add_apply, Matrix.one_apply_eq,
Matrix.replicateRow_mul_replicateCol_apply]
@[deprecated (since := "2025-03-20")] alias
det_one_add_col_mul_row := det_one_add_replicateCol_mul_replicateRow
/-- The **Matrix determinant lemma**
TODO: show the more general version without `hA : IsUnit A.det` as
`(A + replicateCol u * replicateRow v).det = A.det + v ⬝ᵥ (adjugate A) *ᵥ u`.
-/
theorem det_add_replicateCol_mul_replicateRow {ι : Type*} [Unique ι]
{A : Matrix m m α} (hA : IsUnit A.det) (u v : m → α) :
(A + replicateCol ι u * replicateRow ι v).det =
A.det * (1 + replicateRow ι v * A⁻¹ * replicateCol ι u).det := by
nth_rewrite 1 [← Matrix.mul_one A]
rwa [← Matrix.mul_nonsing_inv_cancel_left A (replicateCol ι u * replicateRow ι v),
← Matrix.mul_add, det_mul, ← Matrix.mul_assoc, det_one_add_mul_comm, ← Matrix.mul_assoc]
@[deprecated (since := "2025-03-20")] alias
det_add_col_mul_row := det_add_replicateCol_mul_replicateRow
/-- A generalization of the **Matrix determinant lemma** -/
theorem det_add_mul {A : Matrix m m α} (U : Matrix m n α)
(V : Matrix n m α) (hA : IsUnit A.det) :
(A + U * V).det = A.det * (1 + V * A⁻¹ * U).det := by
nth_rewrite 1 [← Matrix.mul_one A]
rwa [← Matrix.mul_nonsing_inv_cancel_left A (U * V), ← Matrix.mul_add,
det_mul, ← Matrix.mul_assoc, det_one_add_mul_comm, ← Matrix.mul_assoc]
end Det
end CommRing
/-! ### Lemmas about `ℝ` and `ℂ` and other `StarOrderedRing`s -/
section StarOrderedRing
variable {𝕜 : Type*} [CommRing 𝕜] [StarRing 𝕜]
/-- Notation for `Sum.elim`, scoped within the `Matrix` namespace. -/
scoped infixl:65 " ⊕ᵥ " => Sum.elim
theorem schur_complement_eq₁₁ [Fintype m] [DecidableEq m] [Fintype n] {A : Matrix m m 𝕜}
(B : Matrix m n 𝕜) (D : Matrix n n 𝕜) (x : m → 𝕜) (y : n → 𝕜) [Invertible A]
(hA : A.IsHermitian) :
(star (x ⊕ᵥ y)) ᵥ* (fromBlocks A B Bᴴ D) ⬝ᵥ (x ⊕ᵥ y) =
(star (x + (A⁻¹ * B) *ᵥ y)) ᵥ* A ⬝ᵥ (x + (A⁻¹ * B) *ᵥ y) +
(star y) ᵥ* (D - Bᴴ * A⁻¹ * B) ⬝ᵥ y := by
simp [Function.star_sumElim, fromBlocks_mulVec, vecMul_fromBlocks, add_vecMul,
dotProduct_mulVec, vecMul_sub, Matrix.mul_assoc, vecMul_mulVec, hA.eq,
conjTranspose_nonsing_inv, star_mulVec]
abel
theorem schur_complement_eq₂₂ [Fintype m] [Fintype n] [DecidableEq n] (A : Matrix m m 𝕜)
(B : Matrix m n 𝕜) {D : Matrix n n 𝕜} (x : m → 𝕜) (y : n → 𝕜) [Invertible D]
(hD : D.IsHermitian) :
(star (x ⊕ᵥ y)) ᵥ* (fromBlocks A B Bᴴ D) ⬝ᵥ (x ⊕ᵥ y) =
(star ((D⁻¹ * Bᴴ) *ᵥ x + y)) ᵥ* D ⬝ᵥ ((D⁻¹ * Bᴴ) *ᵥ x + y) +
(star x) ᵥ* (A - B * D⁻¹ * Bᴴ) ⬝ᵥ x := by
simp [Function.star_sumElim, fromBlocks_mulVec, vecMul_fromBlocks, add_vecMul,
dotProduct_mulVec, vecMul_sub, Matrix.mul_assoc, vecMul_mulVec, hD.eq,
conjTranspose_nonsing_inv, star_mulVec]
abel
theorem IsHermitian.fromBlocks₁₁ [Fintype m] [DecidableEq m] {A : Matrix m m 𝕜} (B : Matrix m n 𝕜)
(D : Matrix n n 𝕜) (hA : A.IsHermitian) :
(Matrix.fromBlocks A B Bᴴ D).IsHermitian ↔ (D - Bᴴ * A⁻¹ * B).IsHermitian := by
have hBAB : (Bᴴ * A⁻¹ * B).IsHermitian := by
apply isHermitian_conjTranspose_mul_mul
apply hA.inv
rw [isHermitian_fromBlocks_iff]
constructor
· intro h
apply IsHermitian.sub h.2.2.2 hBAB
· intro h
refine ⟨hA, rfl, conjTranspose_conjTranspose B, ?_⟩
rw [← sub_add_cancel D]
apply IsHermitian.add h hBAB
theorem IsHermitian.fromBlocks₂₂ [Fintype n] [DecidableEq n] (A : Matrix m m 𝕜) (B : Matrix m n 𝕜)
{D : Matrix n n 𝕜} (hD : D.IsHermitian) :
(Matrix.fromBlocks A B Bᴴ D).IsHermitian ↔ (A - B * D⁻¹ * Bᴴ).IsHermitian := by
rw [← isHermitian_submatrix_equiv (Equiv.sumComm n m), Equiv.sumComm_apply,
fromBlocks_submatrix_sum_swap_sum_swap]
convert IsHermitian.fromBlocks₁₁ _ _ hD <;> simp
variable [PartialOrder 𝕜] [StarOrderedRing 𝕜]
theorem PosSemidef.fromBlocks₁₁ [Fintype m] [DecidableEq m] [Fintype n] {A : Matrix m m 𝕜}
(B : Matrix m n 𝕜) (D : Matrix n n 𝕜) (hA : A.PosDef) [Invertible A] :
(fromBlocks A B Bᴴ D).PosSemidef ↔ (D - Bᴴ * A⁻¹ * B).PosSemidef := by
rw [PosSemidef, IsHermitian.fromBlocks₁₁ _ _ hA.1]
| constructor
· refine fun h => ⟨h.1, fun x => ?_⟩
have := h.2 (-((A⁻¹ * B) *ᵥ x) ⊕ᵥ x)
rw [dotProduct_mulVec, schur_complement_eq₁₁ B D _ _ hA.1, neg_add_cancel, dotProduct_zero,
zero_add] at this
rw [dotProduct_mulVec]; exact this
· refine fun h => ⟨h.1, fun x => ?_⟩
rw [dotProduct_mulVec, ← Sum.elim_comp_inl_inr x, schur_complement_eq₁₁ B D _ _ hA.1]
apply le_add_of_nonneg_of_le
· rw [← dotProduct_mulVec]
apply hA.posSemidef.2
· rw [← dotProduct_mulVec (star (x ∘ Sum.inr))]
apply h.2
| Mathlib/LinearAlgebra/Matrix/SchurComplement.lean | 508 | 521 |
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Floris van Doorn
-/
import Mathlib.Analysis.Calculus.ContDiff.Operations
import Mathlib.Data.Finset.Sym
import Mathlib.Data.Nat.Choose.Cast
import Mathlib.Data.Nat.Choose.Multinomial
/-!
# Bounds on higher derivatives
`norm_iteratedFDeriv_comp_le` gives the bound `n! * C * D ^ n` for the `n`-th derivative
of `g ∘ f` assuming that the derivatives of `g` are bounded by `C` and the `i`-th
derivative of `f` is bounded by `D ^ i`.
-/
noncomputable section
open scoped NNReal Nat
universe u uD uE uF uG
open Set Fin Filter Function
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D]
[NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
{s s₁ t u : Set E}
/-!## Quantitative bounds -/
/-- Bounding the norm of the iterated derivative of `B (f x) (g x)` within a set in terms of the
iterated derivatives of `f` and `g` when `B` is bilinear. This lemma is an auxiliary version
assuming all spaces live in the same universe, to enable an induction. Use instead
`ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear` that removes this assumption. -/
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_aux {Du Eu Fu Gu : Type u}
[NormedAddCommGroup Du] [NormedSpace 𝕜 Du] [NormedAddCommGroup Eu] [NormedSpace 𝕜 Eu]
[NormedAddCommGroup Fu] [NormedSpace 𝕜 Fu] [NormedAddCommGroup Gu] [NormedSpace 𝕜 Gu]
(B : Eu →L[𝕜] Fu →L[𝕜] Gu) {f : Du → Eu} {g : Du → Fu} {n : ℕ} {s : Set Du} {x : Du}
(hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
/- We argue by induction on `n`. The bound is trivial for `n = 0`. For `n + 1`, we write
the `(n+1)`-th derivative as the `n`-th derivative of the derivative `B f g' + B f' g`,
and apply the inductive assumption to each of those two terms. For this induction to make sense,
the spaces of linear maps that appear in the induction should be in the same universe as the
original spaces, which explains why we assume in the lemma that all spaces live in the same
universe. -/
induction' n with n IH generalizing Eu Fu Gu
· simp only [norm_iteratedFDerivWithin_zero, zero_add, Finset.range_one,
Finset.sum_singleton, Nat.choose_self, Nat.cast_one, one_mul, Nat.sub_zero, ← mul_assoc]
apply B.le_opNorm₂
· have In : (n : WithTop ℕ∞) + 1 ≤ n.succ := by simp only [Nat.cast_succ, le_refl]
-- Porting note: the next line is a hack allowing Lean to find the operator norm instance.
let norm := @ContinuousLinearMap.hasOpNorm _ _ Eu ((Du →L[𝕜] Fu) →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _
(RingHom.id 𝕜)
have I1 :
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n + 1 - i) g s x‖ := by
calc
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤
‖B.precompR Du‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ :=
IH _ (hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In)
_ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ :=
mul_le_mul_of_nonneg_right (B.norm_precompR_le Du) (by positivity)
_ = _ := by
congr 1
apply Finset.sum_congr rfl fun i hi => ?_
rw [Nat.succ_sub (Nat.lt_succ_iff.1 (Finset.mem_range.1 hi)),
← norm_iteratedFDerivWithin_fderivWithin hs hx]
-- Porting note: the next line is a hack allowing Lean to find the operator norm instance.
let norm := @ContinuousLinearMap.hasOpNorm _ _ (Du →L[𝕜] Eu) (Fu →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _
(RingHom.id 𝕜)
have I2 :
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 (i + 1) f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
calc
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤
‖B.precompL Du‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
IH _ (hf.fderivWithin hs In) (hg.of_le (Nat.cast_le.2 (Nat.le_succ n)))
_ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
mul_le_mul_of_nonneg_right (B.norm_precompL_le Du) (by positivity)
_ = _ := by
congr 1
apply Finset.sum_congr rfl fun i _ => ?_
rw [← norm_iteratedFDerivWithin_fderivWithin hs hx]
have J : iteratedFDerivWithin 𝕜 n
(fun y : Du => fderivWithin 𝕜 (fun y : Du => B (f y) (g y)) s y) s x =
iteratedFDerivWithin 𝕜 n (fun y => B.precompR Du (f y)
(fderivWithin 𝕜 g s y) + B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x := by
apply iteratedFDerivWithin_congr (fun y hy => ?_) hx
have L : (1 : WithTop ℕ∞) ≤ n.succ := by
simpa only [ENat.coe_one, Nat.one_le_cast] using Nat.succ_pos n
exact B.fderivWithin_of_bilinear (hf.differentiableOn L y hy) (hg.differentiableOn L y hy)
(hs y hy)
rw [← norm_iteratedFDerivWithin_fderivWithin hs hx, J]
have A : ContDiffOn 𝕜 n (fun y => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s :=
(B.precompR Du).isBoundedBilinearMap.contDiff.comp₂_contDiffOn
(hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In)
have A' : ContDiffOn 𝕜 n (fun y => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s :=
(B.precompL Du).isBoundedBilinearMap.contDiff.comp₂_contDiffOn (hf.fderivWithin hs In)
(hg.of_le (Nat.cast_le.2 (Nat.le_succ n)))
rw [iteratedFDerivWithin_add_apply' (A.contDiffWithinAt hx) (A'.contDiffWithinAt hx) hs hx]
apply (norm_add_le _ _).trans ((add_le_add I1 I2).trans (le_of_eq ?_))
simp_rw [← mul_add, mul_assoc]
congr 1
exact (Finset.sum_choose_succ_mul
(fun i j => ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 j g s x‖) n).symm
/-- Bounding the norm of the iterated derivative of `B (f x) (g x)` within a set in terms of the
iterated derivatives of `f` and `g` when `B` is bilinear:
`‖D^n (x ↦ B (f x) (g x))‖ ≤ ‖B‖ ∑_{k ≤ n} n.choose k ‖D^k f‖ ‖D^{n-k} g‖` -/
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear (B : E →L[𝕜] F →L[𝕜] G)
{f : D → E} {g : D → F} {N : WithTop ℕ∞} {s : Set D} {x : D} (hf : ContDiffOn 𝕜 N f s)
(hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {n : ℕ} (hn : n ≤ N) :
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
/- We reduce the bound to the case where all spaces live in the same universe (in which we
already have proved the result), by using linear isometries between the spaces and their `ULift`
to a common universe. These linear isometries preserve the norm of the iterated derivative. -/
let Du : Type max uD uE uF uG := ULift.{max uE uF uG, uD} D
let Eu : Type max uD uE uF uG := ULift.{max uD uF uG, uE} E
let Fu : Type max uD uE uF uG := ULift.{max uD uE uG, uF} F
let Gu : Type max uD uE uF uG := ULift.{max uD uE uF, uG} G
have isoD : Du ≃ₗᵢ[𝕜] D := LinearIsometryEquiv.ulift 𝕜 D
have isoE : Eu ≃ₗᵢ[𝕜] E := LinearIsometryEquiv.ulift 𝕜 E
have isoF : Fu ≃ₗᵢ[𝕜] F := LinearIsometryEquiv.ulift 𝕜 F
have isoG : Gu ≃ₗᵢ[𝕜] G := LinearIsometryEquiv.ulift 𝕜 G
-- lift `f` and `g` to versions `fu` and `gu` on the lifted spaces.
let fu : Du → Eu := isoE.symm ∘ f ∘ isoD
let gu : Du → Fu := isoF.symm ∘ g ∘ isoD
-- lift the bilinear map `B` to a bilinear map `Bu` on the lifted spaces.
let Bu₀ : Eu →L[𝕜] Fu →L[𝕜] G := ((B.comp (isoE : Eu →L[𝕜] E)).flip.comp (isoF : Fu →L[𝕜] F)).flip
let Bu : Eu →L[𝕜] Fu →L[𝕜] Gu :=
ContinuousLinearMap.compL 𝕜 Eu (Fu →L[𝕜] G) (Fu →L[𝕜] Gu)
(ContinuousLinearMap.compL 𝕜 Fu G Gu (isoG.symm : G →L[𝕜] Gu)) Bu₀
have hBu : Bu = ContinuousLinearMap.compL 𝕜 Eu (Fu →L[𝕜] G) (Fu →L[𝕜] Gu)
(ContinuousLinearMap.compL 𝕜 Fu G Gu (isoG.symm : G →L[𝕜] Gu)) Bu₀ := rfl
have Bu_eq : (fun y => Bu (fu y) (gu y)) = isoG.symm ∘ (fun y => B (f y) (g y)) ∘ isoD := by
ext1 y
simp [Du, Eu, Fu, Gu, hBu, Bu₀, fu, gu]
-- All norms are preserved by the lifting process.
have Bu_le : ‖Bu‖ ≤ ‖B‖ := by
refine ContinuousLinearMap.opNorm_le_bound _ (norm_nonneg B) fun y => ?_
refine ContinuousLinearMap.opNorm_le_bound _ (by positivity) fun x => ?_
simp only [Du, Eu, Fu, Gu, hBu, Bu₀, compL_apply, coe_comp', Function.comp_apply,
ContinuousLinearEquiv.coe_coe, LinearIsometryEquiv.coe_coe, flip_apply,
LinearIsometryEquiv.norm_map]
calc
‖B (isoE y) (isoF x)‖ ≤ ‖B (isoE y)‖ * ‖isoF x‖ := ContinuousLinearMap.le_opNorm _ _
_ ≤ ‖B‖ * ‖isoE y‖ * ‖isoF x‖ := by gcongr; apply ContinuousLinearMap.le_opNorm
_ = ‖B‖ * ‖y‖ * ‖x‖ := by simp only [LinearIsometryEquiv.norm_map]
let su := isoD ⁻¹' s
have hsu : UniqueDiffOn 𝕜 su := isoD.toContinuousLinearEquiv.uniqueDiffOn_preimage_iff.2 hs
let xu := isoD.symm x
have hxu : xu ∈ su := by
simpa only [xu, su, Set.mem_preimage, LinearIsometryEquiv.apply_symm_apply] using hx
have xu_x : isoD xu = x := by simp only [xu, LinearIsometryEquiv.apply_symm_apply]
have hfu : ContDiffOn 𝕜 n fu su :=
isoE.symm.contDiff.comp_contDiffOn
((hf.of_le hn).comp_continuousLinearMap (isoD : Du →L[𝕜] D))
have hgu : ContDiffOn 𝕜 n gu su :=
isoF.symm.contDiff.comp_contDiffOn
((hg.of_le hn).comp_continuousLinearMap (isoD : Du →L[𝕜] D))
have Nfu : ∀ i, ‖iteratedFDerivWithin 𝕜 i fu su xu‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
intro i
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
have Ngu : ∀ i, ‖iteratedFDerivWithin 𝕜 i gu su xu‖ = ‖iteratedFDerivWithin 𝕜 i g s x‖ := by
intro i
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
have NBu :
‖iteratedFDerivWithin 𝕜 n (fun y => Bu (fu y) (gu y)) su xu‖ =
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ := by
rw [Bu_eq]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
-- state the bound for the lifted objects, and deduce the original bound from it.
have : ‖iteratedFDerivWithin 𝕜 n (fun y => Bu (fu y) (gu y)) su xu‖ ≤
‖Bu‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i fu su xu‖ *
‖iteratedFDerivWithin 𝕜 (n - i) gu su xu‖ :=
Bu.norm_iteratedFDerivWithin_le_of_bilinear_aux hfu hgu hsu hxu
simp only [Nfu, Ngu, NBu] at this
exact this.trans (mul_le_mul_of_nonneg_right Bu_le (by positivity))
/-- Bounding the norm of the iterated derivative of `B (f x) (g x)` in terms of the
iterated derivatives of `f` and `g` when `B` is bilinear:
`‖D^n (x ↦ B (f x) (g x))‖ ≤ ‖B‖ ∑_{k ≤ n} n.choose k ‖D^k f‖ ‖D^{n-k} g‖` -/
theorem ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear (B : E →L[𝕜] F →L[𝕜] G) {f : D → E}
{g : D → F} {N : WithTop ℕ∞} (hf : ContDiff 𝕜 N f) (hg : ContDiff 𝕜 N g) (x : D) {n : ℕ}
(hn : n ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y => B (f y) (g y)) x‖ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp_rw [← iteratedFDerivWithin_univ]
exact B.norm_iteratedFDerivWithin_le_of_bilinear hf.contDiffOn hg.contDiffOn uniqueDiffOn_univ
(mem_univ x) hn
/-- Bounding the norm of the iterated derivative of `B (f x) (g x)` within a set in terms of the
iterated derivatives of `f` and `g` when `B` is bilinear of norm at most `1`:
`‖D^n (x ↦ B (f x) (g x))‖ ≤ ∑_{k ≤ n} n.choose k ‖D^k f‖ ‖D^{n-k} g‖` -/
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
(B : E →L[𝕜] F →L[𝕜] G) {f : D → E} {g : D → F} {N : WithTop ℕ∞} {s : Set D} {x : D}
(hf : ContDiffOn 𝕜 N f s) (hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {n : ℕ}
(hn : n ≤ N) (hB : ‖B‖ ≤ 1) : ‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
| apply (B.norm_iteratedFDerivWithin_le_of_bilinear hf hg hs hx hn).trans
exact mul_le_of_le_one_left (by positivity) hB
/-- Bounding the norm of the iterated derivative of `B (f x) (g x)` in terms of the
iterated derivatives of `f` and `g` when `B` is bilinear of norm at most `1`:
`‖D^n (x ↦ B (f x) (g x))‖ ≤ ∑_{k ≤ n} n.choose k ‖D^k f‖ ‖D^{n-k} g‖` -/
theorem ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear_of_le_one (B : E →L[𝕜] F →L[𝕜] G)
{f : D → E} {g : D → F} {N : WithTop ℕ∞} (hf : ContDiff 𝕜 N f) (hg : ContDiff 𝕜 N g)
| Mathlib/Analysis/Calculus/ContDiff/Bounds.lean | 224 | 231 |
/-
Copyright (c) 2014 Parikshit Khanna. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Parikshit Khanna, Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Mario Carneiro
-/
import Mathlib.Control.Basic
import Mathlib.Data.Nat.Basic
import Mathlib.Data.Option.Basic
import Mathlib.Data.List.Defs
import Mathlib.Data.List.Monad
import Mathlib.Logic.OpClass
import Mathlib.Logic.Unique
import Mathlib.Order.Basic
import Mathlib.Tactic.Common
/-!
# Basic properties of lists
-/
assert_not_exists GroupWithZero
assert_not_exists Lattice
assert_not_exists Prod.swap_eq_iff_eq_swap
assert_not_exists Ring
assert_not_exists Set.range
open Function
open Nat hiding one_pos
namespace List
universe u v w
variable {ι : Type*} {α : Type u} {β : Type v} {γ : Type w} {l₁ l₂ : List α}
/-- There is only one list of an empty type -/
instance uniqueOfIsEmpty [IsEmpty α] : Unique (List α) :=
{ instInhabitedList with
uniq := fun l =>
match l with
| [] => rfl
| a :: _ => isEmptyElim a }
instance : Std.LawfulIdentity (α := List α) Append.append [] where
left_id := nil_append
right_id := append_nil
instance : Std.Associative (α := List α) Append.append where
assoc := append_assoc
@[simp] theorem cons_injective {a : α} : Injective (cons a) := fun _ _ => tail_eq_of_cons_eq
theorem singleton_injective : Injective fun a : α => [a] := fun _ _ h => (cons_eq_cons.1 h).1
theorem set_of_mem_cons (l : List α) (a : α) : { x | x ∈ a :: l } = insert a { x | x ∈ l } :=
Set.ext fun _ => mem_cons
/-! ### mem -/
theorem _root_.Decidable.List.eq_or_ne_mem_of_mem [DecidableEq α]
{a b : α} {l : List α} (h : a ∈ b :: l) : a = b ∨ a ≠ b ∧ a ∈ l := by
by_cases hab : a = b
· exact Or.inl hab
· exact ((List.mem_cons.1 h).elim Or.inl (fun h => Or.inr ⟨hab, h⟩))
lemma mem_pair {a b c : α} : a ∈ [b, c] ↔ a = b ∨ a = c := by
rw [mem_cons, mem_singleton]
-- The simpNF linter says that the LHS can be simplified via `List.mem_map`.
-- However this is a higher priority lemma.
-- It seems the side condition `hf` is not applied by `simpNF`.
-- https://github.com/leanprover/std4/issues/207
@[simp 1100, nolint simpNF]
theorem mem_map_of_injective {f : α → β} (H : Injective f) {a : α} {l : List α} :
f a ∈ map f l ↔ a ∈ l :=
⟨fun m => let ⟨_, m', e⟩ := exists_of_mem_map m; H e ▸ m', mem_map_of_mem⟩
@[simp]
theorem _root_.Function.Involutive.exists_mem_and_apply_eq_iff {f : α → α}
(hf : Function.Involutive f) (x : α) (l : List α) : (∃ y : α, y ∈ l ∧ f y = x) ↔ f x ∈ l :=
⟨by rintro ⟨y, h, rfl⟩; rwa [hf y], fun h => ⟨f x, h, hf _⟩⟩
theorem mem_map_of_involutive {f : α → α} (hf : Involutive f) {a : α} {l : List α} :
a ∈ map f l ↔ f a ∈ l := by rw [mem_map, hf.exists_mem_and_apply_eq_iff]
/-! ### length -/
alias ⟨_, length_pos_of_ne_nil⟩ := length_pos_iff
theorem length_pos_iff_ne_nil {l : List α} : 0 < length l ↔ l ≠ [] :=
⟨ne_nil_of_length_pos, length_pos_of_ne_nil⟩
theorem exists_of_length_succ {n} : ∀ l : List α, l.length = n + 1 → ∃ h t, l = h :: t
| [], H => absurd H.symm <| succ_ne_zero n
| h :: t, _ => ⟨h, t, rfl⟩
@[simp] lemma length_injective_iff : Injective (List.length : List α → ℕ) ↔ Subsingleton α := by
constructor
· intro h; refine ⟨fun x y => ?_⟩; (suffices [x] = [y] by simpa using this); apply h; rfl
· intros hα l1 l2 hl
induction l1 generalizing l2 <;> cases l2
· rfl
· cases hl
· cases hl
· next ih _ _ =>
congr
· subsingleton
· apply ih; simpa using hl
@[simp default+1] -- Raise priority above `length_injective_iff`.
lemma length_injective [Subsingleton α] : Injective (length : List α → ℕ) :=
length_injective_iff.mpr inferInstance
theorem length_eq_two {l : List α} : l.length = 2 ↔ ∃ a b, l = [a, b] :=
⟨fun _ => let [a, b] := l; ⟨a, b, rfl⟩, fun ⟨_, _, e⟩ => e ▸ rfl⟩
theorem length_eq_three {l : List α} : l.length = 3 ↔ ∃ a b c, l = [a, b, c] :=
⟨fun _ => let [a, b, c] := l; ⟨a, b, c, rfl⟩, fun ⟨_, _, _, e⟩ => e ▸ rfl⟩
/-! ### set-theoretic notation of lists -/
instance instSingletonList : Singleton α (List α) := ⟨fun x => [x]⟩
instance [DecidableEq α] : Insert α (List α) := ⟨List.insert⟩
instance [DecidableEq α] : LawfulSingleton α (List α) :=
{ insert_empty_eq := fun x =>
show (if x ∈ ([] : List α) then [] else [x]) = [x] from if_neg not_mem_nil }
theorem singleton_eq (x : α) : ({x} : List α) = [x] :=
rfl
theorem insert_neg [DecidableEq α] {x : α} {l : List α} (h : x ∉ l) :
Insert.insert x l = x :: l :=
insert_of_not_mem h
theorem insert_pos [DecidableEq α] {x : α} {l : List α} (h : x ∈ l) : Insert.insert x l = l :=
insert_of_mem h
theorem doubleton_eq [DecidableEq α] {x y : α} (h : x ≠ y) : ({x, y} : List α) = [x, y] := by
rw [insert_neg, singleton_eq]
rwa [singleton_eq, mem_singleton]
/-! ### bounded quantifiers over lists -/
theorem forall_mem_of_forall_mem_cons {p : α → Prop} {a : α} {l : List α} (h : ∀ x ∈ a :: l, p x) :
∀ x ∈ l, p x := (forall_mem_cons.1 h).2
theorem exists_mem_cons_of {p : α → Prop} {a : α} (l : List α) (h : p a) : ∃ x ∈ a :: l, p x :=
⟨a, mem_cons_self, h⟩
theorem exists_mem_cons_of_exists {p : α → Prop} {a : α} {l : List α} : (∃ x ∈ l, p x) →
∃ x ∈ a :: l, p x :=
fun ⟨x, xl, px⟩ => ⟨x, mem_cons_of_mem _ xl, px⟩
theorem or_exists_of_exists_mem_cons {p : α → Prop} {a : α} {l : List α} : (∃ x ∈ a :: l, p x) →
p a ∨ ∃ x ∈ l, p x :=
fun ⟨x, xal, px⟩ =>
Or.elim (eq_or_mem_of_mem_cons xal) (fun h : x = a => by rw [← h]; left; exact px)
fun h : x ∈ l => Or.inr ⟨x, h, px⟩
theorem exists_mem_cons_iff (p : α → Prop) (a : α) (l : List α) :
(∃ x ∈ a :: l, p x) ↔ p a ∨ ∃ x ∈ l, p x :=
Iff.intro or_exists_of_exists_mem_cons fun h =>
Or.elim h (exists_mem_cons_of l) exists_mem_cons_of_exists
/-! ### list subset -/
theorem cons_subset_of_subset_of_mem {a : α} {l m : List α}
(ainm : a ∈ m) (lsubm : l ⊆ m) : a::l ⊆ m :=
cons_subset.2 ⟨ainm, lsubm⟩
theorem append_subset_of_subset_of_subset {l₁ l₂ l : List α} (l₁subl : l₁ ⊆ l) (l₂subl : l₂ ⊆ l) :
l₁ ++ l₂ ⊆ l :=
fun _ h ↦ (mem_append.1 h).elim (@l₁subl _) (@l₂subl _)
theorem map_subset_iff {l₁ l₂ : List α} (f : α → β) (h : Injective f) :
map f l₁ ⊆ map f l₂ ↔ l₁ ⊆ l₂ := by
refine ⟨?_, map_subset f⟩; intro h2 x hx
rcases mem_map.1 (h2 (mem_map_of_mem hx)) with ⟨x', hx', hxx'⟩
cases h hxx'; exact hx'
/-! ### append -/
theorem append_eq_has_append {L₁ L₂ : List α} : List.append L₁ L₂ = L₁ ++ L₂ :=
rfl
theorem append_right_injective (s : List α) : Injective fun t ↦ s ++ t :=
fun _ _ ↦ append_cancel_left
theorem append_left_injective (t : List α) : Injective fun s ↦ s ++ t :=
fun _ _ ↦ append_cancel_right
/-! ### replicate -/
theorem eq_replicate_length {a : α} : ∀ {l : List α}, l = replicate l.length a ↔ ∀ b ∈ l, b = a
| [] => by simp
| (b :: l) => by simp [eq_replicate_length, replicate_succ]
theorem replicate_add (m n) (a : α) : replicate (m + n) a = replicate m a ++ replicate n a := by
rw [replicate_append_replicate]
theorem replicate_subset_singleton (n) (a : α) : replicate n a ⊆ [a] := fun _ h =>
mem_singleton.2 (eq_of_mem_replicate h)
theorem subset_singleton_iff {a : α} {L : List α} : L ⊆ [a] ↔ ∃ n, L = replicate n a := by
simp only [eq_replicate_iff, subset_def, mem_singleton, exists_eq_left']
theorem replicate_right_injective {n : ℕ} (hn : n ≠ 0) : Injective (@replicate α n) :=
fun _ _ h => (eq_replicate_iff.1 h).2 _ <| mem_replicate.2 ⟨hn, rfl⟩
theorem replicate_right_inj {a b : α} {n : ℕ} (hn : n ≠ 0) :
replicate n a = replicate n b ↔ a = b :=
(replicate_right_injective hn).eq_iff
theorem replicate_right_inj' {a b : α} : ∀ {n},
replicate n a = replicate n b ↔ n = 0 ∨ a = b
| 0 => by simp
| n + 1 => (replicate_right_inj n.succ_ne_zero).trans <| by simp only [n.succ_ne_zero, false_or]
theorem replicate_left_injective (a : α) : Injective (replicate · a) :=
LeftInverse.injective (length_replicate (n := ·))
theorem replicate_left_inj {a : α} {n m : ℕ} : replicate n a = replicate m a ↔ n = m :=
(replicate_left_injective a).eq_iff
@[simp]
theorem head?_flatten_replicate {n : ℕ} (h : n ≠ 0) (l : List α) :
(List.replicate n l).flatten.head? = l.head? := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h
induction l <;> simp [replicate]
@[simp]
theorem getLast?_flatten_replicate {n : ℕ} (h : n ≠ 0) (l : List α) :
(List.replicate n l).flatten.getLast? = l.getLast? := by
rw [← List.head?_reverse, ← List.head?_reverse, List.reverse_flatten, List.map_replicate,
List.reverse_replicate, head?_flatten_replicate h]
/-! ### pure -/
theorem mem_pure (x y : α) : x ∈ (pure y : List α) ↔ x = y := by simp
/-! ### bind -/
@[simp]
theorem bind_eq_flatMap {α β} (f : α → List β) (l : List α) : l >>= f = l.flatMap f :=
rfl
/-! ### concat -/
/-! ### reverse -/
theorem reverse_cons' (a : α) (l : List α) : reverse (a :: l) = concat (reverse l) a := by
simp only [reverse_cons, concat_eq_append]
theorem reverse_concat' (l : List α) (a : α) : (l ++ [a]).reverse = a :: l.reverse := by
rw [reverse_append]; rfl
@[simp]
theorem reverse_singleton (a : α) : reverse [a] = [a] :=
rfl
@[simp]
theorem reverse_involutive : Involutive (@reverse α) :=
reverse_reverse
@[simp]
theorem reverse_injective : Injective (@reverse α) :=
reverse_involutive.injective
theorem reverse_surjective : Surjective (@reverse α) :=
reverse_involutive.surjective
theorem reverse_bijective : Bijective (@reverse α) :=
reverse_involutive.bijective
theorem concat_eq_reverse_cons (a : α) (l : List α) : concat l a = reverse (a :: reverse l) := by
simp only [concat_eq_append, reverse_cons, reverse_reverse]
theorem map_reverseAux (f : α → β) (l₁ l₂ : List α) :
map f (reverseAux l₁ l₂) = reverseAux (map f l₁) (map f l₂) := by
simp only [reverseAux_eq, map_append, map_reverse]
-- TODO: Rename `List.reverse_perm` to `List.reverse_perm_self`
@[simp] lemma reverse_perm' : l₁.reverse ~ l₂ ↔ l₁ ~ l₂ where
mp := l₁.reverse_perm.symm.trans
mpr := l₁.reverse_perm.trans
@[simp] lemma perm_reverse : l₁ ~ l₂.reverse ↔ l₁ ~ l₂ where
mp hl := hl.trans l₂.reverse_perm
mpr hl := hl.trans l₂.reverse_perm.symm
/-! ### getLast -/
attribute [simp] getLast_cons
theorem getLast_append_singleton {a : α} (l : List α) :
getLast (l ++ [a]) (append_ne_nil_of_right_ne_nil l (cons_ne_nil a _)) = a := by
simp [getLast_append]
theorem getLast_append_of_right_ne_nil (l₁ l₂ : List α) (h : l₂ ≠ []) :
getLast (l₁ ++ l₂) (append_ne_nil_of_right_ne_nil l₁ h) = getLast l₂ h := by
induction l₁ with
| nil => simp
| cons _ _ ih => simp only [cons_append]; rw [List.getLast_cons]; exact ih
@[deprecated (since := "2025-02-06")]
alias getLast_append' := getLast_append_of_right_ne_nil
theorem getLast_concat' {a : α} (l : List α) : getLast (concat l a) (by simp) = a := by
simp
@[simp]
theorem getLast_singleton' (a : α) : getLast [a] (cons_ne_nil a []) = a := rfl
@[simp]
theorem getLast_cons_cons (a₁ a₂ : α) (l : List α) :
getLast (a₁ :: a₂ :: l) (cons_ne_nil _ _) = getLast (a₂ :: l) (cons_ne_nil a₂ l) :=
rfl
theorem dropLast_append_getLast : ∀ {l : List α} (h : l ≠ []), dropLast l ++ [getLast l h] = l
| [], h => absurd rfl h
| [_], _ => rfl
| a :: b :: l, h => by
rw [dropLast_cons₂, cons_append, getLast_cons (cons_ne_nil _ _)]
congr
exact dropLast_append_getLast (cons_ne_nil b l)
theorem getLast_congr {l₁ l₂ : List α} (h₁ : l₁ ≠ []) (h₂ : l₂ ≠ []) (h₃ : l₁ = l₂) :
getLast l₁ h₁ = getLast l₂ h₂ := by subst l₁; rfl
theorem getLast_replicate_succ (m : ℕ) (a : α) :
(replicate (m + 1) a).getLast (ne_nil_of_length_eq_add_one length_replicate) = a := by
simp only [replicate_succ']
exact getLast_append_singleton _
@[deprecated (since := "2025-02-07")]
alias getLast_filter' := getLast_filter_of_pos
/-! ### getLast? -/
theorem mem_getLast?_eq_getLast : ∀ {l : List α} {x : α}, x ∈ l.getLast? → ∃ h, x = getLast l h
| [], x, hx => False.elim <| by simp at hx
| [a], x, hx =>
have : a = x := by simpa using hx
this ▸ ⟨cons_ne_nil a [], rfl⟩
| a :: b :: l, x, hx => by
rw [getLast?_cons_cons] at hx
rcases mem_getLast?_eq_getLast hx with ⟨_, h₂⟩
use cons_ne_nil _ _
assumption
theorem getLast?_eq_getLast_of_ne_nil : ∀ {l : List α} (h : l ≠ []), l.getLast? = some (l.getLast h)
| [], h => (h rfl).elim
| [_], _ => rfl
| _ :: b :: l, _ => @getLast?_eq_getLast_of_ne_nil (b :: l) (cons_ne_nil _ _)
theorem mem_getLast?_cons {x y : α} : ∀ {l : List α}, x ∈ l.getLast? → x ∈ (y :: l).getLast?
| [], _ => by contradiction
| _ :: _, h => h
theorem dropLast_append_getLast? : ∀ {l : List α}, ∀ a ∈ l.getLast?, dropLast l ++ [a] = l
| [], a, ha => (Option.not_mem_none a ha).elim
| [a], _, rfl => rfl
| a :: b :: l, c, hc => by
rw [getLast?_cons_cons] at hc
rw [dropLast_cons₂, cons_append, dropLast_append_getLast? _ hc]
theorem getLastI_eq_getLast? [Inhabited α] : ∀ l : List α, l.getLastI = l.getLast?.iget
| [] => by simp [getLastI, Inhabited.default]
| [_] => rfl
| [_, _] => rfl
| [_, _, _] => rfl
| _ :: _ :: c :: l => by simp [getLastI, getLastI_eq_getLast? (c :: l)]
theorem getLast?_append_cons :
∀ (l₁ : List α) (a : α) (l₂ : List α), getLast? (l₁ ++ a :: l₂) = getLast? (a :: l₂)
| [], _, _ => rfl
| [_], _, _ => rfl
| b :: c :: l₁, a, l₂ => by rw [cons_append, cons_append, getLast?_cons_cons,
← cons_append, getLast?_append_cons (c :: l₁)]
theorem getLast?_append_of_ne_nil (l₁ : List α) :
∀ {l₂ : List α} (_ : l₂ ≠ []), getLast? (l₁ ++ l₂) = getLast? l₂
| [], hl₂ => by contradiction
| b :: l₂, _ => getLast?_append_cons l₁ b l₂
theorem mem_getLast?_append_of_mem_getLast? {l₁ l₂ : List α} {x : α} (h : x ∈ l₂.getLast?) :
x ∈ (l₁ ++ l₂).getLast? := by
cases l₂
· contradiction
· rw [List.getLast?_append_cons]
exact h
/-! ### head(!?) and tail -/
@[simp]
theorem head!_nil [Inhabited α] : ([] : List α).head! = default := rfl
@[simp] theorem head_cons_tail (x : List α) (h : x ≠ []) : x.head h :: x.tail = x := by
cases x <;> simp at h ⊢
theorem head_eq_getElem_zero {l : List α} (hl : l ≠ []) :
l.head hl = l[0]'(length_pos_iff.2 hl) :=
(getElem_zero _).symm
theorem head!_eq_head? [Inhabited α] (l : List α) : head! l = (head? l).iget := by cases l <;> rfl
theorem surjective_head! [Inhabited α] : Surjective (@head! α _) := fun x => ⟨[x], rfl⟩
theorem surjective_head? : Surjective (@head? α) :=
Option.forall.2 ⟨⟨[], rfl⟩, fun x => ⟨[x], rfl⟩⟩
theorem surjective_tail : Surjective (@tail α)
| [] => ⟨[], rfl⟩
| a :: l => ⟨a :: a :: l, rfl⟩
theorem eq_cons_of_mem_head? {x : α} : ∀ {l : List α}, x ∈ l.head? → l = x :: tail l
| [], h => (Option.not_mem_none _ h).elim
| a :: l, h => by
simp only [head?, Option.mem_def, Option.some_inj] at h
exact h ▸ rfl
@[simp] theorem head!_cons [Inhabited α] (a : α) (l : List α) : head! (a :: l) = a := rfl
@[simp]
theorem head!_append [Inhabited α] (t : List α) {s : List α} (h : s ≠ []) :
head! (s ++ t) = head! s := by
induction s
· contradiction
· rfl
theorem mem_head?_append_of_mem_head? {s t : List α} {x : α} (h : x ∈ s.head?) :
x ∈ (s ++ t).head? := by
cases s
· contradiction
· exact h
theorem head?_append_of_ne_nil :
∀ (l₁ : List α) {l₂ : List α} (_ : l₁ ≠ []), head? (l₁ ++ l₂) = head? l₁
| _ :: _, _, _ => rfl
theorem tail_append_singleton_of_ne_nil {a : α} {l : List α} (h : l ≠ nil) :
tail (l ++ [a]) = tail l ++ [a] := by
induction l
· contradiction
· rw [tail, cons_append, tail]
theorem cons_head?_tail : ∀ {l : List α} {a : α}, a ∈ head? l → a :: tail l = l
| [], a, h => by contradiction
| b :: l, a, h => by
simp? at h says simp only [head?_cons, Option.mem_def, Option.some.injEq] at h
simp [h]
theorem head!_mem_head? [Inhabited α] : ∀ {l : List α}, l ≠ [] → head! l ∈ head? l
| [], h => by contradiction
| _ :: _, _ => rfl
theorem cons_head!_tail [Inhabited α] {l : List α} (h : l ≠ []) : head! l :: tail l = l :=
cons_head?_tail (head!_mem_head? h)
theorem head!_mem_self [Inhabited α] {l : List α} (h : l ≠ nil) : l.head! ∈ l := by
have h' : l.head! ∈ l.head! :: l.tail := mem_cons_self
rwa [cons_head!_tail h] at h'
theorem get_eq_getElem? (l : List α) (i : Fin l.length) :
l.get i = l[i]?.get (by simp [getElem?_eq_getElem]) := by
simp
@[deprecated (since := "2025-02-15")] alias get_eq_get? := get_eq_getElem?
theorem exists_mem_iff_getElem {l : List α} {p : α → Prop} :
(∃ x ∈ l, p x) ↔ ∃ (i : ℕ) (_ : i < l.length), p l[i] := by
simp only [mem_iff_getElem]
exact ⟨fun ⟨_x, ⟨i, hi, hix⟩, hxp⟩ ↦ ⟨i, hi, hix ▸ hxp⟩, fun ⟨i, hi, hp⟩ ↦ ⟨_, ⟨i, hi, rfl⟩, hp⟩⟩
theorem forall_mem_iff_getElem {l : List α} {p : α → Prop} :
(∀ x ∈ l, p x) ↔ ∀ (i : ℕ) (_ : i < l.length), p l[i] := by
simp [mem_iff_getElem, @forall_swap α]
theorem get_tail (l : List α) (i) (h : i < l.tail.length)
(h' : i + 1 < l.length := (by simp only [length_tail] at h; omega)) :
l.tail.get ⟨i, h⟩ = l.get ⟨i + 1, h'⟩ := by
cases l <;> [cases h; rfl]
/-! ### sublists -/
attribute [refl] List.Sublist.refl
theorem Sublist.cons_cons {l₁ l₂ : List α} (a : α) (s : l₁ <+ l₂) : a :: l₁ <+ a :: l₂ :=
Sublist.cons₂ _ s
lemma cons_sublist_cons' {a b : α} : a :: l₁ <+ b :: l₂ ↔ a :: l₁ <+ l₂ ∨ a = b ∧ l₁ <+ l₂ := by
constructor
· rintro (_ | _)
· exact Or.inl ‹_›
· exact Or.inr ⟨rfl, ‹_›⟩
· rintro (h | ⟨rfl, h⟩)
· exact h.cons _
· rwa [cons_sublist_cons]
theorem sublist_cons_of_sublist (a : α) (h : l₁ <+ l₂) : l₁ <+ a :: l₂ := h.cons _
@[deprecated (since := "2025-02-07")]
alias sublist_nil_iff_eq_nil := sublist_nil
@[simp] lemma sublist_singleton {l : List α} {a : α} : l <+ [a] ↔ l = [] ∨ l = [a] := by
constructor <;> rintro (_ | _) <;> aesop
theorem Sublist.antisymm (s₁ : l₁ <+ l₂) (s₂ : l₂ <+ l₁) : l₁ = l₂ :=
s₁.eq_of_length_le s₂.length_le
/-- If the first element of two lists are different, then a sublist relation can be reduced. -/
theorem Sublist.of_cons_of_ne {a b} (h₁ : a ≠ b) (h₂ : a :: l₁ <+ b :: l₂) : a :: l₁ <+ l₂ :=
match h₁, h₂ with
| _, .cons _ h => h
/-! ### indexOf -/
section IndexOf
variable [DecidableEq α]
theorem idxOf_cons_eq {a b : α} (l : List α) : b = a → idxOf a (b :: l) = 0
| e => by rw [← e]; exact idxOf_cons_self
@[deprecated (since := "2025-01-30")] alias indexOf_cons_eq := idxOf_cons_eq
@[simp]
theorem idxOf_cons_ne {a b : α} (l : List α) : b ≠ a → idxOf a (b :: l) = succ (idxOf a l)
| h => by simp only [idxOf_cons, Bool.cond_eq_ite, beq_iff_eq, if_neg h]
@[deprecated (since := "2025-01-30")] alias indexOf_cons_ne := idxOf_cons_ne
theorem idxOf_eq_length_iff {a : α} {l : List α} : idxOf a l = length l ↔ a ∉ l := by
induction l with
| nil => exact iff_of_true rfl not_mem_nil
| cons b l ih =>
simp only [length, mem_cons, idxOf_cons, eq_comm]
rw [cond_eq_if]
split_ifs with h <;> simp at h
· exact iff_of_false (by rintro ⟨⟩) fun H => H <| Or.inl h.symm
· simp only [Ne.symm h, false_or]
rw [← ih]
exact succ_inj
@[simp]
theorem idxOf_of_not_mem {l : List α} {a : α} : a ∉ l → idxOf a l = length l :=
idxOf_eq_length_iff.2
@[deprecated (since := "2025-01-30")] alias indexOf_of_not_mem := idxOf_of_not_mem
theorem idxOf_le_length {a : α} {l : List α} : idxOf a l ≤ length l := by
induction l with | nil => rfl | cons b l ih => ?_
simp only [length, idxOf_cons, cond_eq_if, beq_iff_eq]
by_cases h : b = a
· rw [if_pos h]; exact Nat.zero_le _
· rw [if_neg h]; exact succ_le_succ ih
@[deprecated (since := "2025-01-30")] alias indexOf_le_length := idxOf_le_length
theorem idxOf_lt_length_iff {a} {l : List α} : idxOf a l < length l ↔ a ∈ l :=
⟨fun h => Decidable.byContradiction fun al => Nat.ne_of_lt h <| idxOf_eq_length_iff.2 al,
fun al => (lt_of_le_of_ne idxOf_le_length) fun h => idxOf_eq_length_iff.1 h al⟩
@[deprecated (since := "2025-01-30")] alias indexOf_lt_length_iff := idxOf_lt_length_iff
theorem idxOf_append_of_mem {a : α} (h : a ∈ l₁) : idxOf a (l₁ ++ l₂) = idxOf a l₁ := by
induction l₁ with
| nil =>
exfalso
exact not_mem_nil h
| cons d₁ t₁ ih =>
rw [List.cons_append]
by_cases hh : d₁ = a
· iterate 2 rw [idxOf_cons_eq _ hh]
rw [idxOf_cons_ne _ hh, idxOf_cons_ne _ hh, ih (mem_of_ne_of_mem (Ne.symm hh) h)]
@[deprecated (since := "2025-01-30")] alias indexOf_append_of_mem := idxOf_append_of_mem
theorem idxOf_append_of_not_mem {a : α} (h : a ∉ l₁) :
idxOf a (l₁ ++ l₂) = l₁.length + idxOf a l₂ := by
induction l₁ with
| nil => rw [List.nil_append, List.length, Nat.zero_add]
| cons d₁ t₁ ih =>
rw [List.cons_append, idxOf_cons_ne _ (ne_of_not_mem_cons h).symm, List.length,
ih (not_mem_of_not_mem_cons h), Nat.succ_add]
@[deprecated (since := "2025-01-30")] alias indexOf_append_of_not_mem := idxOf_append_of_not_mem
end IndexOf
/-! ### nth element -/
section deprecated
@[simp]
theorem getElem?_length (l : List α) : l[l.length]? = none := getElem?_eq_none le_rfl
/-- A version of `getElem_map` that can be used for rewriting. -/
theorem getElem_map_rev (f : α → β) {l} {n : Nat} {h : n < l.length} :
f l[n] = (map f l)[n]'((l.length_map f).symm ▸ h) := Eq.symm (getElem_map _)
theorem get_length_sub_one {l : List α} (h : l.length - 1 < l.length) :
l.get ⟨l.length - 1, h⟩ = l.getLast (by rintro rfl; exact Nat.lt_irrefl 0 h) :=
(getLast_eq_getElem _).symm
theorem take_one_drop_eq_of_lt_length {l : List α} {n : ℕ} (h : n < l.length) :
(l.drop n).take 1 = [l.get ⟨n, h⟩] := by
rw [drop_eq_getElem_cons h, take, take]
simp
theorem ext_getElem?' {l₁ l₂ : List α} (h' : ∀ n < max l₁.length l₂.length, l₁[n]? = l₂[n]?) :
l₁ = l₂ := by
apply ext_getElem?
intro n
rcases Nat.lt_or_ge n <| max l₁.length l₂.length with hn | hn
· exact h' n hn
· simp_all [Nat.max_le, getElem?_eq_none]
@[deprecated (since := "2025-02-15")] alias ext_get?' := ext_getElem?'
@[deprecated (since := "2025-02-15")] alias ext_get?_iff := List.ext_getElem?_iff
theorem ext_get_iff {l₁ l₂ : List α} :
l₁ = l₂ ↔ l₁.length = l₂.length ∧ ∀ n h₁ h₂, get l₁ ⟨n, h₁⟩ = get l₂ ⟨n, h₂⟩ := by
constructor
· rintro rfl
exact ⟨rfl, fun _ _ _ ↦ rfl⟩
· intro ⟨h₁, h₂⟩
exact ext_get h₁ h₂
theorem ext_getElem?_iff' {l₁ l₂ : List α} : l₁ = l₂ ↔
∀ n < max l₁.length l₂.length, l₁[n]? = l₂[n]? :=
⟨by rintro rfl _ _; rfl, ext_getElem?'⟩
@[deprecated (since := "2025-02-15")] alias ext_get?_iff' := ext_getElem?_iff'
/-- If two lists `l₁` and `l₂` are the same length and `l₁[n]! = l₂[n]!` for all `n`,
then the lists are equal. -/
theorem ext_getElem! [Inhabited α] (hl : length l₁ = length l₂) (h : ∀ n : ℕ, l₁[n]! = l₂[n]!) :
l₁ = l₂ :=
ext_getElem hl fun n h₁ h₂ ↦ by simpa only [← getElem!_pos] using h n
@[simp]
theorem getElem_idxOf [DecidableEq α] {a : α} : ∀ {l : List α} (h : idxOf a l < l.length),
l[idxOf a l] = a
| b :: l, h => by
by_cases h' : b = a <;>
simp [h', if_pos, if_false, getElem_idxOf]
@[deprecated (since := "2025-01-30")] alias getElem_indexOf := getElem_idxOf
-- This is incorrectly named and should be `get_idxOf`;
-- this already exists, so will require a deprecation dance.
theorem idxOf_get [DecidableEq α] {a : α} {l : List α} (h) : get l ⟨idxOf a l, h⟩ = a := by
simp
@[deprecated (since := "2025-01-30")] alias indexOf_get := idxOf_get
@[simp]
theorem getElem?_idxOf [DecidableEq α] {a : α} {l : List α} (h : a ∈ l) :
l[idxOf a l]? = some a := by
rw [getElem?_eq_getElem, getElem_idxOf (idxOf_lt_length_iff.2 h)]
@[deprecated (since := "2025-01-30")] alias getElem?_indexOf := getElem?_idxOf
@[deprecated (since := "2025-02-15")] alias idxOf_get? := getElem?_idxOf
@[deprecated (since := "2025-01-30")] alias indexOf_get? := getElem?_idxOf
theorem idxOf_inj [DecidableEq α] {l : List α} {x y : α} (hx : x ∈ l) (hy : y ∈ l) :
idxOf x l = idxOf y l ↔ x = y :=
⟨fun h => by
have x_eq_y :
get l ⟨idxOf x l, idxOf_lt_length_iff.2 hx⟩ =
get l ⟨idxOf y l, idxOf_lt_length_iff.2 hy⟩ := by
simp only [h]
simp only [idxOf_get] at x_eq_y; exact x_eq_y, fun h => by subst h; rfl⟩
@[deprecated (since := "2025-01-30")] alias indexOf_inj := idxOf_inj
theorem get_reverse' (l : List α) (n) (hn') :
l.reverse.get n = l.get ⟨l.length - 1 - n, hn'⟩ := by
simp
theorem eq_cons_of_length_one {l : List α} (h : l.length = 1) : l = [l.get ⟨0, by omega⟩] := by
refine ext_get (by convert h) fun n h₁ h₂ => ?_
simp
congr
omega
end deprecated
@[simp]
theorem getElem_set_of_ne {l : List α} {i j : ℕ} (h : i ≠ j) (a : α)
(hj : j < (l.set i a).length) :
(l.set i a)[j] = l[j]'(by simpa using hj) := by
rw [← Option.some_inj, ← List.getElem?_eq_getElem, List.getElem?_set_ne h,
List.getElem?_eq_getElem]
/-! ### map -/
-- `List.map_const` (the version with `Function.const` instead of a lambda) is already tagged
-- `simp` in Core
-- TODO: Upstream the tagging to Core?
attribute [simp] map_const'
theorem flatMap_pure_eq_map (f : α → β) (l : List α) : l.flatMap (pure ∘ f) = map f l :=
.symm <| map_eq_flatMap ..
theorem flatMap_congr {l : List α} {f g : α → List β} (h : ∀ x ∈ l, f x = g x) :
l.flatMap f = l.flatMap g :=
(congr_arg List.flatten <| map_congr_left h :)
theorem infix_flatMap_of_mem {a : α} {as : List α} (h : a ∈ as) (f : α → List α) :
f a <:+: as.flatMap f :=
infix_of_mem_flatten (mem_map_of_mem h)
@[simp]
theorem map_eq_map {α β} (f : α → β) (l : List α) : f <$> l = map f l :=
rfl
/-- A single `List.map` of a composition of functions is equal to
composing a `List.map` with another `List.map`, fully applied.
This is the reverse direction of `List.map_map`.
-/
theorem comp_map (h : β → γ) (g : α → β) (l : List α) : map (h ∘ g) l = map h (map g l) :=
map_map.symm
/-- Composing a `List.map` with another `List.map` is equal to
a single `List.map` of composed functions.
-/
@[simp]
theorem map_comp_map (g : β → γ) (f : α → β) : map g ∘ map f = map (g ∘ f) := by
ext l; rw [comp_map, Function.comp_apply]
section map_bijectivity
theorem _root_.Function.LeftInverse.list_map {f : α → β} {g : β → α} (h : LeftInverse f g) :
LeftInverse (map f) (map g)
| [] => by simp_rw [map_nil]
| x :: xs => by simp_rw [map_cons, h x, h.list_map xs]
nonrec theorem _root_.Function.RightInverse.list_map {f : α → β} {g : β → α}
(h : RightInverse f g) : RightInverse (map f) (map g) :=
h.list_map
nonrec theorem _root_.Function.Involutive.list_map {f : α → α}
(h : Involutive f) : Involutive (map f) :=
Function.LeftInverse.list_map h
@[simp]
theorem map_leftInverse_iff {f : α → β} {g : β → α} :
LeftInverse (map f) (map g) ↔ LeftInverse f g :=
⟨fun h x => by injection h [x], (·.list_map)⟩
@[simp]
theorem map_rightInverse_iff {f : α → β} {g : β → α} :
RightInverse (map f) (map g) ↔ RightInverse f g := map_leftInverse_iff
@[simp]
theorem map_involutive_iff {f : α → α} :
Involutive (map f) ↔ Involutive f := map_leftInverse_iff
theorem _root_.Function.Injective.list_map {f : α → β} (h : Injective f) :
Injective (map f)
| [], [], _ => rfl
| x :: xs, y :: ys, hxy => by
injection hxy with hxy hxys
rw [h hxy, h.list_map hxys]
@[simp]
theorem map_injective_iff {f : α → β} : Injective (map f) ↔ Injective f := by
refine ⟨fun h x y hxy => ?_, (·.list_map)⟩
suffices [x] = [y] by simpa using this
apply h
simp [hxy]
theorem _root_.Function.Surjective.list_map {f : α → β} (h : Surjective f) :
Surjective (map f) :=
let ⟨_, h⟩ := h.hasRightInverse; h.list_map.surjective
@[simp]
theorem map_surjective_iff {f : α → β} : Surjective (map f) ↔ Surjective f := by
refine ⟨fun h x => ?_, (·.list_map)⟩
let ⟨[y], hxy⟩ := h [x]
exact ⟨_, List.singleton_injective hxy⟩
theorem _root_.Function.Bijective.list_map {f : α → β} (h : Bijective f) : Bijective (map f) :=
⟨h.1.list_map, h.2.list_map⟩
@[simp]
theorem map_bijective_iff {f : α → β} : Bijective (map f) ↔ Bijective f := by
simp_rw [Function.Bijective, map_injective_iff, map_surjective_iff]
end map_bijectivity
theorem eq_of_mem_map_const {b₁ b₂ : β} {l : List α} (h : b₁ ∈ map (const α b₂) l) :
b₁ = b₂ := by rw [map_const] at h; exact eq_of_mem_replicate h
/-- `eq_nil_or_concat` in simp normal form -/
lemma eq_nil_or_concat' (l : List α) : l = [] ∨ ∃ L b, l = L ++ [b] := by
simpa using l.eq_nil_or_concat
/-! ### foldl, foldr -/
theorem foldl_ext (f g : α → β → α) (a : α) {l : List β} (H : ∀ a : α, ∀ b ∈ l, f a b = g a b) :
foldl f a l = foldl g a l := by
induction l generalizing a with
| nil => rfl
| cons hd tl ih =>
unfold foldl
rw [ih _ fun a b bin => H a b <| mem_cons_of_mem _ bin, H a hd mem_cons_self]
theorem foldr_ext (f g : α → β → β) (b : β) {l : List α} (H : ∀ a ∈ l, ∀ b : β, f a b = g a b) :
foldr f b l = foldr g b l := by
induction l with | nil => rfl | cons hd tl ih => ?_
simp only [mem_cons, or_imp, forall_and, forall_eq] at H
simp only [foldr, ih H.2, H.1]
theorem foldl_concat
(f : β → α → β) (b : β) (x : α) (xs : List α) :
List.foldl f b (xs ++ [x]) = f (List.foldl f b xs) x := by
simp only [List.foldl_append, List.foldl]
theorem foldr_concat
(f : α → β → β) (b : β) (x : α) (xs : List α) :
List.foldr f b (xs ++ [x]) = (List.foldr f (f x b) xs) := by
simp only [List.foldr_append, List.foldr]
theorem foldl_fixed' {f : α → β → α} {a : α} (hf : ∀ b, f a b = a) : ∀ l : List β, foldl f a l = a
| [] => rfl
| b :: l => by rw [foldl_cons, hf b, foldl_fixed' hf l]
theorem foldr_fixed' {f : α → β → β} {b : β} (hf : ∀ a, f a b = b) : ∀ l : List α, foldr f b l = b
| [] => rfl
| a :: l => by rw [foldr_cons, foldr_fixed' hf l, hf a]
@[simp]
theorem foldl_fixed {a : α} : ∀ l : List β, foldl (fun a _ => a) a l = a :=
foldl_fixed' fun _ => rfl
@[simp]
theorem foldr_fixed {b : β} : ∀ l : List α, foldr (fun _ b => b) b l = b :=
foldr_fixed' fun _ => rfl
@[deprecated foldr_cons_nil (since := "2025-02-10")]
theorem foldr_eta (l : List α) : foldr cons [] l = l := foldr_cons_nil
theorem reverse_foldl {l : List α} : reverse (foldl (fun t h => h :: t) [] l) = l := by
simp
theorem foldl_hom₂ (l : List ι) (f : α → β → γ) (op₁ : α → ι → α) (op₂ : β → ι → β)
(op₃ : γ → ι → γ) (a : α) (b : β) (h : ∀ a b i, f (op₁ a i) (op₂ b i) = op₃ (f a b) i) :
foldl op₃ (f a b) l = f (foldl op₁ a l) (foldl op₂ b l) :=
Eq.symm <| by
revert a b
induction l <;> intros <;> [rfl; simp only [*, foldl]]
theorem foldr_hom₂ (l : List ι) (f : α → β → γ) (op₁ : ι → α → α) (op₂ : ι → β → β)
(op₃ : ι → γ → γ) (a : α) (b : β) (h : ∀ a b i, f (op₁ i a) (op₂ i b) = op₃ i (f a b)) :
foldr op₃ (f a b) l = f (foldr op₁ a l) (foldr op₂ b l) := by
revert a
induction l <;> intros <;> [rfl; simp only [*, foldr]]
theorem injective_foldl_comp {l : List (α → α)} {f : α → α}
(hl : ∀ f ∈ l, Function.Injective f) (hf : Function.Injective f) :
Function.Injective (@List.foldl (α → α) (α → α) Function.comp f l) := by
induction l generalizing f with
| nil => exact hf
| cons lh lt l_ih =>
apply l_ih fun _ h => hl _ (List.mem_cons_of_mem _ h)
apply Function.Injective.comp hf
apply hl _ mem_cons_self
/-- Consider two lists `l₁` and `l₂` with designated elements `a₁` and `a₂` somewhere in them:
`l₁ = x₁ ++ [a₁] ++ z₁` and `l₂ = x₂ ++ [a₂] ++ z₂`.
Assume the designated element `a₂` is present in neither `x₁` nor `z₁`.
We conclude that the lists are equal (`l₁ = l₂`) if and only if their respective parts are equal
(`x₁ = x₂ ∧ a₁ = a₂ ∧ z₁ = z₂`). -/
lemma append_cons_inj_of_not_mem {x₁ x₂ z₁ z₂ : List α} {a₁ a₂ : α}
(notin_x : a₂ ∉ x₁) (notin_z : a₂ ∉ z₁) :
x₁ ++ a₁ :: z₁ = x₂ ++ a₂ :: z₂ ↔ x₁ = x₂ ∧ a₁ = a₂ ∧ z₁ = z₂ := by
constructor
· simp only [append_eq_append_iff, cons_eq_append_iff, cons_eq_cons]
rintro (⟨c, rfl, ⟨rfl, rfl, rfl⟩ | ⟨d, rfl, rfl⟩⟩ |
⟨c, rfl, ⟨rfl, rfl, rfl⟩ | ⟨d, rfl, rfl⟩⟩) <;> simp_all
· rintro ⟨rfl, rfl, rfl⟩
rfl
section FoldlEqFoldr
-- foldl and foldr coincide when f is commutative and associative
variable {f : α → α → α}
theorem foldl1_eq_foldr1 [hassoc : Std.Associative f] :
∀ a b l, foldl f a (l ++ [b]) = foldr f b (a :: l)
| _, _, nil => rfl
| a, b, c :: l => by
simp only [cons_append, foldl_cons, foldr_cons, foldl1_eq_foldr1 _ _ l]
rw [hassoc.assoc]
theorem foldl_eq_of_comm_of_assoc [hcomm : Std.Commutative f] [hassoc : Std.Associative f] :
∀ a b l, foldl f a (b :: l) = f b (foldl f a l)
| a, b, nil => hcomm.comm a b
| a, b, c :: l => by
simp only [foldl_cons]
have : RightCommutative f := inferInstance
rw [← foldl_eq_of_comm_of_assoc .., this.right_comm, foldl_cons]
theorem foldl_eq_foldr [Std.Commutative f] [Std.Associative f] :
∀ a l, foldl f a l = foldr f a l
| _, nil => rfl
| a, b :: l => by
simp only [foldr_cons, foldl_eq_of_comm_of_assoc]
rw [foldl_eq_foldr a l]
end FoldlEqFoldr
section FoldlEqFoldlr'
variable {f : α → β → α}
variable (hf : ∀ a b c, f (f a b) c = f (f a c) b)
include hf
theorem foldl_eq_of_comm' : ∀ a b l, foldl f a (b :: l) = f (foldl f a l) b
| _, _, [] => rfl
| a, b, c :: l => by rw [foldl, foldl, foldl, ← foldl_eq_of_comm' .., foldl, hf]
theorem foldl_eq_foldr' : ∀ a l, foldl f a l = foldr (flip f) a l
| _, [] => rfl
| a, b :: l => by rw [foldl_eq_of_comm' hf, foldr, foldl_eq_foldr' ..]; rfl
end FoldlEqFoldlr'
section FoldlEqFoldlr'
variable {f : α → β → β}
theorem foldr_eq_of_comm' (hf : ∀ a b c, f a (f b c) = f b (f a c)) :
∀ a b l, foldr f a (b :: l) = foldr f (f b a) l
| _, _, [] => rfl
| a, b, c :: l => by rw [foldr, foldr, foldr, hf, ← foldr_eq_of_comm' hf ..]; rfl
end FoldlEqFoldlr'
section
variable {op : α → α → α} [ha : Std.Associative op]
/-- Notation for `op a b`. -/
local notation a " ⋆ " b => op a b
/-- Notation for `foldl op a l`. -/
local notation l " <*> " a => foldl op a l
theorem foldl_op_eq_op_foldr_assoc :
∀ {l : List α} {a₁ a₂}, ((l <*> a₁) ⋆ a₂) = a₁ ⋆ l.foldr (· ⋆ ·) a₂
| [], _, _ => rfl
| a :: l, a₁, a₂ => by
simp only [foldl_cons, foldr_cons, foldl_assoc, ha.assoc]; rw [foldl_op_eq_op_foldr_assoc]
variable [hc : Std.Commutative op]
theorem foldl_assoc_comm_cons {l : List α} {a₁ a₂} : ((a₁ :: l) <*> a₂) = a₁ ⋆ l <*> a₂ := by
rw [foldl_cons, hc.comm, foldl_assoc]
end
/-! ### foldlM, foldrM, mapM -/
section FoldlMFoldrM
variable {m : Type v → Type w} [Monad m]
variable [LawfulMonad m]
theorem foldrM_eq_foldr (f : α → β → m β) (b l) :
foldrM f b l = foldr (fun a mb => mb >>= f a) (pure b) l := by induction l <;> simp [*]
theorem foldlM_eq_foldl (f : β → α → m β) (b l) :
List.foldlM f b l = foldl (fun mb a => mb >>= fun b => f b a) (pure b) l := by
suffices h :
∀ mb : m β, (mb >>= fun b => List.foldlM f b l) = foldl (fun mb a => mb >>= fun b => f b a) mb l
by simp [← h (pure b)]
induction l with
| nil => intro; simp
| cons _ _ l_ih => intro; simp only [List.foldlM, foldl, ← l_ih, functor_norm]
end FoldlMFoldrM
/-! ### intersperse -/
@[deprecated (since := "2025-02-07")] alias intersperse_singleton := intersperse_single
@[deprecated (since := "2025-02-07")] alias intersperse_cons_cons := intersperse_cons₂
/-! ### map for partial functions -/
@[deprecated "Deprecated without replacement." (since := "2025-02-07")]
theorem sizeOf_lt_sizeOf_of_mem [SizeOf α] {x : α} {l : List α} (hx : x ∈ l) :
SizeOf.sizeOf x < SizeOf.sizeOf l := by
induction l with | nil => ?_ | cons h t ih => ?_ <;> cases hx <;> rw [cons.sizeOf_spec]
· omega
· specialize ih ‹_›
omega
/-! ### filter -/
theorem length_eq_length_filter_add {l : List (α)} (f : α → Bool) :
l.length = (l.filter f).length + (l.filter (! f ·)).length := by
simp_rw [← List.countP_eq_length_filter, l.length_eq_countP_add_countP f, Bool.not_eq_true,
Bool.decide_eq_false]
/-! ### filterMap -/
theorem filterMap_eq_flatMap_toList (f : α → Option β) (l : List α) :
l.filterMap f = l.flatMap fun a ↦ (f a).toList := by
induction l with | nil => ?_ | cons a l ih => ?_ <;> simp [filterMap_cons]
rcases f a <;> simp [ih]
theorem filterMap_congr {f g : α → Option β} {l : List α}
(h : ∀ x ∈ l, f x = g x) : l.filterMap f = l.filterMap g := by
induction l <;> simp_all [filterMap_cons]
theorem filterMap_eq_map_iff_forall_eq_some {f : α → Option β} {g : α → β} {l : List α} :
l.filterMap f = l.map g ↔ ∀ x ∈ l, f x = some (g x) where
mp := by
induction l with | nil => simp | cons a l ih => ?_
rcases ha : f a with - | b <;> simp [ha, filterMap_cons]
· intro h
simpa [show (filterMap f l).length = l.length + 1 from by simp[h], Nat.add_one_le_iff]
using List.length_filterMap_le f l
· rintro rfl h
exact ⟨rfl, ih h⟩
mpr h := Eq.trans (filterMap_congr <| by simpa) (congr_fun filterMap_eq_map _)
/-! ### filter -/
section Filter
variable {p : α → Bool}
theorem filter_singleton {a : α} : [a].filter p = bif p a then [a] else [] :=
rfl
theorem filter_eq_foldr (p : α → Bool) (l : List α) :
filter p l = foldr (fun a out => bif p a then a :: out else out) [] l := by
induction l <;> simp [*, filter]; rfl
#adaptation_note /-- nightly-2024-07-27
This has to be temporarily renamed to avoid an unintentional collision.
The prime should be removed at nightly-2024-07-27. -/
@[simp]
theorem filter_subset' (l : List α) : filter p l ⊆ l :=
filter_sublist.subset
theorem of_mem_filter {a : α} {l} (h : a ∈ filter p l) : p a := (mem_filter.1 h).2
theorem mem_of_mem_filter {a : α} {l} (h : a ∈ filter p l) : a ∈ l :=
filter_subset' l h
theorem mem_filter_of_mem {a : α} {l} (h₁ : a ∈ l) (h₂ : p a) : a ∈ filter p l :=
mem_filter.2 ⟨h₁, h₂⟩
@[deprecated (since := "2025-02-07")] alias monotone_filter_left := filter_subset
variable (p)
theorem monotone_filter_right (l : List α) ⦃p q : α → Bool⦄
(h : ∀ a, p a → q a) : l.filter p <+ l.filter q := by
induction l with
| nil => rfl
| cons hd tl IH =>
by_cases hp : p hd
· rw [filter_cons_of_pos hp, filter_cons_of_pos (h _ hp)]
exact IH.cons_cons hd
· rw [filter_cons_of_neg hp]
by_cases hq : q hd
· rw [filter_cons_of_pos hq]
exact sublist_cons_of_sublist hd IH
· rw [filter_cons_of_neg hq]
exact IH
lemma map_filter {f : α → β} (hf : Injective f) (l : List α)
[DecidablePred fun b => ∃ a, p a ∧ f a = b] :
(l.filter p).map f = (l.map f).filter fun b => ∃ a, p a ∧ f a = b := by
simp [comp_def, filter_map, hf.eq_iff]
@[deprecated (since := "2025-02-07")] alias map_filter' := map_filter
lemma filter_attach' (l : List α) (p : {a // a ∈ l} → Bool) [DecidableEq α] :
l.attach.filter p =
(l.filter fun x => ∃ h, p ⟨x, h⟩).attach.map (Subtype.map id fun _ => mem_of_mem_filter) := by
classical
refine map_injective_iff.2 Subtype.coe_injective ?_
simp [comp_def, map_filter _ Subtype.coe_injective]
lemma filter_attach (l : List α) (p : α → Bool) :
(l.attach.filter fun x => p x : List {x // x ∈ l}) =
(l.filter p).attach.map (Subtype.map id fun _ => mem_of_mem_filter) :=
map_injective_iff.2 Subtype.coe_injective <| by
simp_rw [map_map, comp_def, Subtype.map, id, ← Function.comp_apply (g := Subtype.val),
← filter_map, attach_map_subtype_val]
lemma filter_comm (q) (l : List α) : filter p (filter q l) = filter q (filter p l) := by
simp [Bool.and_comm]
@[simp]
theorem filter_true (l : List α) :
filter (fun _ => true) l = l := by induction l <;> simp [*, filter]
@[simp]
theorem filter_false (l : List α) :
filter (fun _ => false) l = [] := by induction l <;> simp [*, filter]
end Filter
/-! ### eraseP -/
section eraseP
variable {p : α → Bool}
@[simp]
theorem length_eraseP_add_one {l : List α} {a} (al : a ∈ l) (pa : p a) :
(l.eraseP p).length + 1 = l.length := by
let ⟨_, l₁, l₂, _, _, h₁, h₂⟩ := exists_of_eraseP al pa
rw [h₂, h₁, length_append, length_append]
rfl
end eraseP
/-! ### erase -/
section Erase
variable [DecidableEq α]
@[simp] theorem length_erase_add_one {a : α} {l : List α} (h : a ∈ l) :
(l.erase a).length + 1 = l.length := by
rw [erase_eq_eraseP, length_eraseP_add_one h (decide_eq_true rfl)]
theorem map_erase [DecidableEq β] {f : α → β} (finj : Injective f) {a : α} (l : List α) :
map f (l.erase a) = (map f l).erase (f a) := by
have this : (a == ·) = (f a == f ·) := by ext b; simp [beq_eq_decide, finj.eq_iff]
rw [erase_eq_eraseP, erase_eq_eraseP, eraseP_map, this]; rfl
theorem map_foldl_erase [DecidableEq β] {f : α → β} (finj : Injective f) {l₁ l₂ : List α} :
map f (foldl List.erase l₁ l₂) = foldl (fun l a => l.erase (f a)) (map f l₁) l₂ := by
induction l₂ generalizing l₁ <;> [rfl; simp only [foldl_cons, map_erase finj, *]]
theorem erase_getElem [DecidableEq ι] {l : List ι} {i : ℕ} (hi : i < l.length) :
Perm (l.erase l[i]) (l.eraseIdx i) := by
induction l generalizing i with
| nil => simp
| cons a l IH =>
cases i with
| zero => simp
| succ i =>
have hi' : i < l.length := by simpa using hi
if ha : a = l[i] then
simpa [ha] using .trans (perm_cons_erase (getElem_mem _)) (.cons _ (IH hi'))
else
simpa [ha] using IH hi'
theorem length_eraseIdx_add_one {l : List ι} {i : ℕ} (h : i < l.length) :
(l.eraseIdx i).length + 1 = l.length := by
rw [length_eraseIdx]
split <;> omega
end Erase
/-! ### diff -/
section Diff
variable [DecidableEq α]
@[simp]
theorem map_diff [DecidableEq β] {f : α → β} (finj : Injective f) {l₁ l₂ : List α} :
map f (l₁.diff l₂) = (map f l₁).diff (map f l₂) := by
simp only [diff_eq_foldl, foldl_map, map_foldl_erase finj]
@[deprecated (since := "2025-04-10")]
alias erase_diff_erase_sublist_of_sublist := Sublist.erase_diff_erase_sublist
end Diff
section Choose
variable (p : α → Prop) [DecidablePred p] (l : List α)
theorem choose_spec (hp : ∃ a, a ∈ l ∧ p a) : choose p l hp ∈ l ∧ p (choose p l hp) :=
(chooseX p l hp).property
theorem choose_mem (hp : ∃ a, a ∈ l ∧ p a) : choose p l hp ∈ l :=
(choose_spec _ _ _).1
theorem choose_property (hp : ∃ a, a ∈ l ∧ p a) : p (choose p l hp) :=
(choose_spec _ _ _).2
end Choose
/-! ### Forall -/
section Forall
variable {p q : α → Prop} {l : List α}
@[simp]
theorem forall_cons (p : α → Prop) (x : α) : ∀ l : List α, Forall p (x :: l) ↔ p x ∧ Forall p l
| [] => (and_iff_left_of_imp fun _ ↦ trivial).symm
| _ :: _ => Iff.rfl
@[simp]
theorem forall_append {p : α → Prop} : ∀ {xs ys : List α},
Forall p (xs ++ ys) ↔ Forall p xs ∧ Forall p ys
| [] => by simp
| _ :: _ => by simp [forall_append, and_assoc]
theorem forall_iff_forall_mem : ∀ {l : List α}, Forall p l ↔ ∀ x ∈ l, p x
| [] => (iff_true_intro <| forall_mem_nil _).symm
| x :: l => by rw [forall_mem_cons, forall_cons, forall_iff_forall_mem]
theorem Forall.imp (h : ∀ x, p x → q x) : ∀ {l : List α}, Forall p l → Forall q l
| [] => id
| x :: l => by
simp only [forall_cons, and_imp]
rw [← and_imp]
exact And.imp (h x) (Forall.imp h)
@[simp]
theorem forall_map_iff {p : β → Prop} (f : α → β) : Forall p (l.map f) ↔ Forall (p ∘ f) l := by
induction l <;> simp [*]
instance (p : α → Prop) [DecidablePred p] : DecidablePred (Forall p) := fun _ =>
decidable_of_iff' _ forall_iff_forall_mem
end Forall
/-! ### Miscellaneous lemmas -/
theorem get_attach (l : List α) (i) :
(l.attach.get i).1 = l.get ⟨i, length_attach (l := l) ▸ i.2⟩ := by simp
section Disjoint
/-- The images of disjoint lists under a partially defined map are disjoint -/
theorem disjoint_pmap {p : α → Prop} {f : ∀ a : α, p a → β} {s t : List α}
(hs : ∀ a ∈ s, p a) (ht : ∀ a ∈ t, p a)
(hf : ∀ (a a' : α) (ha : p a) (ha' : p a'), f a ha = f a' ha' → a = a')
(h : Disjoint s t) :
Disjoint (s.pmap f hs) (t.pmap f ht) := by
simp only [Disjoint, mem_pmap]
rintro b ⟨a, ha, rfl⟩ ⟨a', ha', ha''⟩
apply h ha
rwa [hf a a' (hs a ha) (ht a' ha') ha''.symm]
/-- The images of disjoint lists under an injective map are disjoint -/
theorem disjoint_map {f : α → β} {s t : List α} (hf : Function.Injective f)
(h : Disjoint s t) : Disjoint (s.map f) (t.map f) := by
rw [← pmap_eq_map (fun _ _ ↦ trivial), ← pmap_eq_map (fun _ _ ↦ trivial)]
exact disjoint_pmap _ _ (fun _ _ _ _ h' ↦ hf h') h
alias Disjoint.map := disjoint_map
theorem Disjoint.of_map {f : α → β} {s t : List α} (h : Disjoint (s.map f) (t.map f)) :
Disjoint s t := fun _a has hat ↦
h (mem_map_of_mem has) (mem_map_of_mem hat)
theorem Disjoint.map_iff {f : α → β} {s t : List α} (hf : Function.Injective f) :
Disjoint (s.map f) (t.map f) ↔ Disjoint s t :=
⟨fun h ↦ h.of_map, fun h ↦ h.map hf⟩
theorem Perm.disjoint_left {l₁ l₂ l : List α} (p : List.Perm l₁ l₂) :
Disjoint l₁ l ↔ Disjoint l₂ l := by
simp_rw [List.disjoint_left, p.mem_iff]
theorem Perm.disjoint_right {l₁ l₂ l : List α} (p : List.Perm l₁ l₂) :
Disjoint l l₁ ↔ Disjoint l l₂ := by
simp_rw [List.disjoint_right, p.mem_iff]
@[simp]
theorem disjoint_reverse_left {l₁ l₂ : List α} : Disjoint l₁.reverse l₂ ↔ Disjoint l₁ l₂ :=
reverse_perm _ |>.disjoint_left
@[simp]
theorem disjoint_reverse_right {l₁ l₂ : List α} : Disjoint l₁ l₂.reverse ↔ Disjoint l₁ l₂ :=
reverse_perm _ |>.disjoint_right
end Disjoint
section lookup
variable [BEq α] [LawfulBEq α]
lemma lookup_graph (f : α → β) {a : α} {as : List α} (h : a ∈ as) :
lookup a (as.map fun x => (x, f x)) = some (f a) := by
induction as with
| nil => exact (not_mem_nil h).elim
| cons a' as ih =>
by_cases ha : a = a'
· simp [ha, lookup_cons]
· simpa [lookup_cons, beq_false_of_ne ha] using ih (List.mem_of_ne_of_mem ha h)
end lookup
section range'
@[simp]
lemma range'_0 (a b : ℕ) :
range' a b 0 = replicate b a := by
induction b with
| zero => simp
| succ b ih => simp [range'_succ, ih, replicate_succ]
lemma left_le_of_mem_range' {a b s x : ℕ}
(hx : x ∈ List.range' a b s) : a ≤ x := by
obtain ⟨i, _, rfl⟩ := List.mem_range'.mp hx
exact le_add_right a (s * i)
end range'
end List
| Mathlib/Data/List/Basic.lean | 1,906 | 1,907 | |
/-
Copyright (c) 2020 Yury Kudryashov, Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Anne Baanen
-/
import Mathlib.Algebra.BigOperators.Ring.Finset
import Mathlib.Algebra.Group.Action.Pi
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Fintype.Fin
import Mathlib.Logic.Equiv.Fin.Basic
/-!
# Big operators and `Fin`
Some results about products and sums over the type `Fin`.
The most important results are the induction formulas `Fin.prod_univ_castSucc`
and `Fin.prod_univ_succ`, and the formula `Fin.prod_const` for the product of a
constant function. These results have variants for sums instead of products.
## Main declarations
* `finFunctionFinEquiv`: An explicit equivalence between `Fin n → Fin m` and `Fin (m ^ n)`.
-/
assert_not_exists Field
open Finset
variable {α M : Type*}
namespace Finset
@[to_additive]
theorem prod_range [CommMonoid M] {n : ℕ} (f : ℕ → M) :
∏ i ∈ Finset.range n, f i = ∏ i : Fin n, f i :=
(Fin.prod_univ_eq_prod_range _ _).symm
end Finset
namespace Fin
section CommMonoid
variable [CommMonoid M] {n : ℕ}
@[to_additive]
theorem prod_ofFn (f : Fin n → M) : (List.ofFn f).prod = ∏ i, f i := by
simp [prod_eq_multiset_prod]
@[to_additive]
theorem prod_univ_def (f : Fin n → M) : ∏ i, f i = ((List.finRange n).map f).prod := by
rw [← List.ofFn_eq_map, prod_ofFn]
/-- A product of a function `f : Fin 0 → M` is `1` because `Fin 0` is empty -/
@[to_additive "A sum of a function `f : Fin 0 → M` is `0` because `Fin 0` is empty"]
theorem prod_univ_zero (f : Fin 0 → M) : ∏ i, f i = 1 :=
rfl
/-- A product of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)`
is the product of `f x`, for some `x : Fin (n + 1)` times the remaining product -/
@[to_additive "A sum of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)` is the sum of
`f x`, for some `x : Fin (n + 1)` plus the remaining sum"]
theorem prod_univ_succAbove (f : Fin (n + 1) → M) (x : Fin (n + 1)) :
∏ i, f i = f x * ∏ i : Fin n, f (x.succAbove i) := by
rw [univ_succAbove n x, prod_cons, Finset.prod_map, coe_succAboveEmb]
/-- A product of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)`
is the product of `f 0` plus the remaining product -/
@[to_additive "A sum of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)` is the sum of
`f 0` plus the remaining sum"]
theorem prod_univ_succ (f : Fin (n + 1) → M) :
∏ i, f i = f 0 * ∏ i : Fin n, f i.succ :=
prod_univ_succAbove f 0
/-- A product of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)`
is the product of `f (Fin.last n)` plus the remaining product -/
@[to_additive "A sum of a function `f : Fin (n + 1) → M` over all `Fin (n + 1)` is the sum of
`f (Fin.last n)` plus the remaining sum"]
theorem prod_univ_castSucc (f : Fin (n + 1) → M) :
∏ i, f i = (∏ i : Fin n, f (Fin.castSucc i)) * f (last n) := by
simpa [mul_comm] using prod_univ_succAbove f (last n)
@[to_additive (attr := simp)]
theorem prod_univ_getElem (l : List M) : ∏ i : Fin l.length, l[i.1] = l.prod := by
simp [Finset.prod_eq_multiset_prod]
@[deprecated (since := "2025-04-19")]
alias sum_univ_get := sum_univ_getElem
@[to_additive existing, deprecated (since := "2025-04-19")]
alias prod_univ_get := prod_univ_getElem
@[to_additive (attr := simp)]
theorem prod_univ_fun_getElem (l : List α) (f : α → M) :
∏ i : Fin l.length, f l[i.1] = (l.map f).prod := by
simp [Finset.prod_eq_multiset_prod]
@[deprecated (since := "2025-04-19")]
alias sum_univ_get' := sum_univ_fun_getElem
@[to_additive existing, deprecated (since := "2025-04-19")]
alias prod_univ_get' := prod_univ_fun_getElem
@[to_additive (attr := simp)]
theorem prod_cons (x : M) (f : Fin n → M) :
(∏ i : Fin n.succ, (cons x f : Fin n.succ → M) i) = x * ∏ i : Fin n, f i := by
simp_rw [prod_univ_succ, cons_zero, cons_succ]
@[to_additive (attr := simp)]
theorem prod_snoc (x : M) (f : Fin n → M) :
(∏ i : Fin n.succ, (snoc f x : Fin n.succ → M) i) = (∏ i : Fin n, f i) * x := by
simp [prod_univ_castSucc]
@[to_additive sum_univ_one]
theorem prod_univ_one (f : Fin 1 → M) : ∏ i, f i = f 0 := by simp
@[to_additive (attr := simp)]
theorem prod_univ_two (f : Fin 2 → M) : ∏ i, f i = f 0 * f 1 := by
simp [prod_univ_succ]
@[to_additive]
theorem prod_univ_two' (f : α → M) (a b : α) : ∏ i, f (![a, b] i) = f a * f b :=
prod_univ_two _
@[to_additive]
theorem prod_univ_three (f : Fin 3 → M) : ∏ i, f i = f 0 * f 1 * f 2 := by
rw [prod_univ_castSucc, prod_univ_two]
rfl
@[to_additive]
theorem prod_univ_four (f : Fin 4 → M) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 := by
rw [prod_univ_castSucc, prod_univ_three]
rfl
@[to_additive]
theorem prod_univ_five (f : Fin 5 → M) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 := by
rw [prod_univ_castSucc, prod_univ_four]
rfl
@[to_additive]
theorem prod_univ_six (f : Fin 6 → M) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 := by
rw [prod_univ_castSucc, prod_univ_five]
rfl
@[to_additive]
theorem prod_univ_seven (f : Fin 7 → M) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 * f 6 := by
rw [prod_univ_castSucc, prod_univ_six]
rfl
@[to_additive]
theorem prod_univ_eight (f : Fin 8 → M) :
∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 * f 6 * f 7 := by
rw [prod_univ_castSucc, prod_univ_seven]
rfl
@[to_additive]
theorem prod_const (n : ℕ) (x : M) : ∏ _i : Fin n, x = x ^ n := by simp
@[to_additive]
theorem prod_Ioi_zero {v : Fin n.succ → M} :
∏ i ∈ Ioi 0, v i = ∏ j : Fin n, v j.succ := by
rw [Ioi_zero_eq_map, Finset.prod_map, coe_succEmb]
@[to_additive (attr := simp)]
theorem prod_Ioi_succ (i : Fin n) (v : Fin n.succ → M) :
∏ j ∈ Ioi i.succ, v j = ∏ j ∈ Ioi i, v j.succ := by
rw [← map_succEmb_Ioi, Finset.prod_map, coe_succEmb]
@[to_additive]
theorem prod_congr' {a b : ℕ} (f : Fin b → M) (h : a = b) :
(∏ i : Fin a, f (i.cast h)) = ∏ i : Fin b, f i := by
subst h
congr
@[to_additive]
theorem prod_univ_add {a b : ℕ} (f : Fin (a + b) → M) :
(∏ i : Fin (a + b), f i) = (∏ i : Fin a, f (castAdd b i)) * ∏ i : Fin b, f (natAdd a i) := by
rw [Fintype.prod_equiv finSumFinEquiv.symm f fun i => f (finSumFinEquiv.toFun i)]
· apply Fintype.prod_sum_type
· intro x
simp only [Equiv.toFun_as_coe, Equiv.apply_symm_apply]
@[to_additive]
theorem prod_trunc {a b : ℕ} (f : Fin (a + b) → M) (hf : ∀ j : Fin b, f (natAdd a j) = 1) :
(∏ i : Fin (a + b), f i) = ∏ i : Fin a, f (castAdd b i) := by
rw [prod_univ_add, Fintype.prod_eq_one _ hf, mul_one]
end CommMonoid
theorem sum_pow_mul_eq_add_pow {n : ℕ} {R : Type*} [CommSemiring R] (a b : R) :
(∑ s : Finset (Fin n), a ^ s.card * b ^ (n - s.card)) = (a + b) ^ n := by
| simpa using Fintype.sum_pow_mul_eq_add_pow (Fin n) a b
lemma sum_neg_one_pow (R : Type*) [Ring R] (m : ℕ) :
| Mathlib/Algebra/BigOperators/Fin.lean | 193 | 195 |
/-
Copyright (c) 2021 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.RingTheory.HahnSeries.Multiplication
/-!
# Summable families of Hahn Series
We introduce a notion of formal summability for families of Hahn series, and define a formal sum
function. This theory is applied to characterize invertible Hahn series whose coefficients are in a
commutative domain.
## Main Definitions
* A `HahnSeries.SummableFamily` is a family of Hahn series such that the union of the supports
is partially well-ordered and only finitely many are nonzero at any given coefficient. Note that
this is different from `Summable` in the valuation topology, because there are topologically
summable families that do not satisfy the axioms of `HahnSeries.SummableFamily`, and formally
summable families whose sums do not converge topologically.
* The formal sum, `HahnSeries.SummableFamily.hsum` can be bundled as a `LinearMap` via
`HahnSeries.SummableFamily.lsum`.
## Main results
* If `R` is a commutative domain, and `Γ` is a linearly ordered additive commutative group, then
a Hahn series is a unit if and only if its leading term is a unit in `R`.
## TODO
* Remove unnecessary domain hypotheses.
* More general summable families, e.g., define the evaluation homomorphism from a power series
ring taking `X` to a positive order element.
## References
- [J. van der Hoeven, *Operators on Generalized Power Series*][van_der_hoeven]
-/
open Finset Function
open Pointwise
noncomputable section
variable {Γ Γ' R V α β : Type*}
namespace HahnSeries
section
/-- A family of Hahn series whose formal coefficient-wise sum is a Hahn series. For each
coefficient of the sum to be well-defined, we require that only finitely many series are nonzero at
any given coefficient. For the formal sum to be a Hahn series, we require that the union of the
supports of the constituent series is partially well-ordered. -/
structure SummableFamily (Γ) (R) [PartialOrder Γ] [AddCommMonoid R] (α : Type*) where
/-- A parametrized family of Hahn series. -/
toFun : α → HahnSeries Γ R
isPWO_iUnion_support' : Set.IsPWO (⋃ a : α, (toFun a).support)
finite_co_support' : ∀ g : Γ, { a | (toFun a).coeff g ≠ 0 }.Finite
end
namespace SummableFamily
section AddCommMonoid
variable [PartialOrder Γ] [AddCommMonoid R]
instance : FunLike (SummableFamily Γ R α) α (HahnSeries Γ R) where
coe := toFun
coe_injective' | ⟨_, _, _⟩, ⟨_, _, _⟩, rfl => rfl
theorem isPWO_iUnion_support (s : SummableFamily Γ R α) : Set.IsPWO (⋃ a : α, (s a).support) :=
s.isPWO_iUnion_support'
theorem finite_co_support (s : SummableFamily Γ R α) (g : Γ) :
(Function.support fun a => (s a).coeff g).Finite :=
s.finite_co_support' g
theorem coe_injective : @Function.Injective (SummableFamily Γ R α) (α → HahnSeries Γ R) (⇑) :=
DFunLike.coe_injective
@[ext]
theorem ext {s t : SummableFamily Γ R α} (h : ∀ a : α, s a = t a) : s = t :=
DFunLike.ext s t h
instance : Add (SummableFamily Γ R α) :=
⟨fun x y =>
{ toFun := x + y
isPWO_iUnion_support' :=
(x.isPWO_iUnion_support.union y.isPWO_iUnion_support).mono
(by
rw [← Set.iUnion_union_distrib]
exact Set.iUnion_mono fun a => support_add_subset)
finite_co_support' := fun g =>
((x.finite_co_support g).union (y.finite_co_support g)).subset
(by
intro a ha
change (x a).coeff g + (y a).coeff g ≠ 0 at ha
rw [Set.mem_union, Function.mem_support, Function.mem_support]
contrapose! ha
rw [ha.1, ha.2, add_zero]) }⟩
instance : Zero (SummableFamily Γ R α) :=
⟨⟨0, by simp, by simp⟩⟩
instance : Inhabited (SummableFamily Γ R α) :=
⟨0⟩
@[simp]
theorem coe_add {s t : SummableFamily Γ R α} : ⇑(s + t) = s + t :=
rfl
theorem add_apply {s t : SummableFamily Γ R α} {a : α} : (s + t) a = s a + t a :=
rfl
@[simp]
theorem coe_zero : ((0 : SummableFamily Γ R α) : α → HahnSeries Γ R) = 0 :=
rfl
theorem zero_apply {a : α} : (0 : SummableFamily Γ R α) a = 0 :=
rfl
instance : AddCommMonoid (SummableFamily Γ R α) where
zero := 0
nsmul := nsmulRec
zero_add s := by
ext
apply zero_add
add_zero s := by
ext
apply add_zero
add_comm s t := by
ext
apply add_comm
add_assoc r s t := by
ext
apply add_assoc
/-- The coefficient function of a summable family, as a finsupp on the parameter type. -/
@[simps]
def coeff (s : SummableFamily Γ R α) (g : Γ) : α →₀ R where
support := (s.finite_co_support g).toFinset
toFun a := (s a).coeff g
mem_support_toFun a := by simp
@[simp]
theorem coeff_def (s : SummableFamily Γ R α) (a : α) (g : Γ) : s.coeff g a = (s a).coeff g :=
rfl
/-- The infinite sum of a `SummableFamily` of Hahn series. -/
def hsum (s : SummableFamily Γ R α) : HahnSeries Γ R where
coeff g := ∑ᶠ i, (s i).coeff g
isPWO_support' :=
s.isPWO_iUnion_support.mono fun g => by
contrapose
rw [Set.mem_iUnion, not_exists, Function.mem_support, Classical.not_not]
simp_rw [mem_support, Classical.not_not]
intro h
rw [finsum_congr h, finsum_zero]
@[simp]
theorem coeff_hsum {s : SummableFamily Γ R α} {g : Γ} : s.hsum.coeff g = ∑ᶠ i, (s i).coeff g :=
rfl
@[deprecated (since := "2025-01-31")] alias hsum_coeff := coeff_hsum
theorem support_hsum_subset {s : SummableFamily Γ R α} : s.hsum.support ⊆ ⋃ a : α, (s a).support :=
fun g hg => by
rw [mem_support, coeff_hsum, finsum_eq_sum _ (s.finite_co_support _)] at hg
obtain ⟨a, _, h2⟩ := exists_ne_zero_of_sum_ne_zero hg
rw [Set.mem_iUnion]
exact ⟨a, h2⟩
@[simp]
theorem hsum_add {s t : SummableFamily Γ R α} : (s + t).hsum = s.hsum + t.hsum := by
ext g
simp only [coeff_hsum, coeff_add, add_apply]
exact finsum_add_distrib (s.finite_co_support _) (t.finite_co_support _)
theorem coeff_hsum_eq_sum_of_subset {s : SummableFamily Γ R α} {g : Γ} {t : Finset α}
(h : { a | (s a).coeff g ≠ 0 } ⊆ t) : s.hsum.coeff g = ∑ i ∈ t, (s i).coeff g := by
simp only [coeff_hsum, finsum_eq_sum _ (s.finite_co_support _)]
exact sum_subset (Set.Finite.toFinset_subset.mpr h) (by simp)
@[deprecated (since := "2025-01-31")] alias hsum_coeff_eq_sum_of_subset :=
coeff_hsum_eq_sum_of_subset
theorem coeff_hsum_eq_sum {s : SummableFamily Γ R α} {g : Γ} :
s.hsum.coeff g = ∑ i ∈ (s.coeff g).support, (s i).coeff g := by
simp only [coeff_hsum, finsum_eq_sum _ (s.finite_co_support _), coeff_support]
@[deprecated (since := "2025-01-31")] alias hsum_coeff_eq_sum := coeff_hsum_eq_sum
/-- The summable family made of a single Hahn series. -/
@[simps]
def single (x : HahnSeries Γ R) : SummableFamily Γ R Unit where
toFun _ := x
isPWO_iUnion_support' :=
Eq.mpr (congrArg (fun s ↦ s.IsPWO) (Set.iUnion_const x.support)) x.isPWO_support
finite_co_support' g := Set.toFinite {a | ((fun _ ↦ x) a).coeff g ≠ 0}
@[simp]
theorem hsum_single (x : HahnSeries Γ R) : (single x).hsum = x := by
ext g
simp only [coeff_hsum, single_toFun, finsum_unique]
/-- A summable family induced by an equivalence of the parametrizing type. -/
@[simps]
def Equiv (e : α ≃ β) (s : SummableFamily Γ R α) : SummableFamily Γ R β where
toFun b := s (e.symm b)
isPWO_iUnion_support' := by
refine Set.IsPWO.mono s.isPWO_iUnion_support fun g => ?_
simp only [Set.mem_iUnion, mem_support, ne_eq, forall_exists_index]
exact fun b hg => Exists.intro (e.symm b) hg
finite_co_support' g :=
(Equiv.set_finite_iff e.subtypeEquivOfSubtype').mp <| s.finite_co_support' g
@[simp]
theorem hsum_equiv (e : α ≃ β) (s : SummableFamily Γ R α) : (Equiv e s).hsum = s.hsum := by
ext g
simp only [coeff_hsum, Equiv_toFun]
exact finsum_eq_of_bijective e.symm (Equiv.bijective e.symm) fun x => rfl
/-- The summable family given by multiplying every series in a summable family by a scalar. -/
@[simps]
def smulFamily [AddCommMonoid V] [SMulWithZero R V] (f : α → R) (s : SummableFamily Γ V α) :
SummableFamily Γ V α where
toFun a := (f a) • s a
isPWO_iUnion_support' := by
refine Set.IsPWO.mono s.isPWO_iUnion_support fun g hg => ?_
simp_all only [Set.mem_iUnion, mem_support, coeff_smul, ne_eq]
obtain ⟨i, hi⟩ := hg
exact Exists.intro i <| right_ne_zero_of_smul hi
finite_co_support' g := by
refine Set.Finite.subset (s.finite_co_support g) fun i hi => ?_
simp_all only [coeff_smul, ne_eq, Set.mem_setOf_eq, Function.mem_support]
exact right_ne_zero_of_smul hi
theorem hsum_smulFamily [AddCommMonoid V] [SMulWithZero R V] (f : α → R)
(s : SummableFamily Γ V α) (g : Γ) :
(smulFamily f s).hsum.coeff g = ∑ᶠ i, (f i) • ((s i).coeff g) :=
rfl
end AddCommMonoid
section AddCommGroup
variable [PartialOrder Γ] [AddCommGroup R] {s t : SummableFamily Γ R α} {a : α}
instance : Neg (SummableFamily Γ R α) :=
⟨fun s =>
{ toFun := fun a => -s a
isPWO_iUnion_support' := by
simp_rw [support_neg]
exact s.isPWO_iUnion_support
finite_co_support' := fun g => by
simp only [coeff_neg', Pi.neg_apply, Ne, neg_eq_zero]
exact s.finite_co_support g }⟩
instance : AddCommGroup (SummableFamily Γ R α) :=
{ inferInstanceAs (AddCommMonoid (SummableFamily Γ R α)) with
zsmul := zsmulRec
neg_add_cancel := fun a => by
ext
apply neg_add_cancel }
@[simp]
theorem coe_neg : ⇑(-s) = -s :=
rfl
theorem neg_apply : (-s) a = -s a :=
rfl
@[simp]
theorem coe_sub : ⇑(s - t) = s - t :=
rfl
theorem sub_apply : (s - t) a = s a - t a :=
rfl
end AddCommGroup
section SMul
variable [PartialOrder Γ] [PartialOrder Γ'] [AddCommMonoid V]
instance [Zero R] [SMulWithZero R V] : SMul R (SummableFamily Γ' V β) :=
⟨fun r t =>
{ toFun := r • t
isPWO_iUnion_support' := t.isPWO_iUnion_support.mono (Set.iUnion_mono fun i =>
Pi.smul_apply r t i ▸ Function.support_const_smul_subset r _)
finite_co_support' := by
intro g
refine (t.finite_co_support g).subset ?_
intro i hi
simp only [Pi.smul_apply, coeff_smul, ne_eq, Set.mem_setOf_eq] at hi
simp only [Function.mem_support, ne_eq]
exact right_ne_zero_of_smul hi } ⟩
variable [AddCommMonoid R] [SMulWithZero R V]
theorem smul_support_subset_prod (s : SummableFamily Γ R α)
(t : SummableFamily Γ' V β) (gh : Γ × Γ') :
(Function.support fun (i : α × β) ↦ (s i.1).coeff gh.1 • (t i.2).coeff gh.2) ⊆
((s.finite_co_support' gh.1).prod (t.finite_co_support' gh.2)).toFinset := by
intro _ hab
simp_all only [Function.mem_support, ne_eq, Set.Finite.coe_toFinset, Set.mem_prod,
Set.mem_setOf_eq]
exact ⟨left_ne_zero_of_smul hab, right_ne_zero_of_smul hab⟩
theorem smul_support_finite (s : SummableFamily Γ R α)
(t : SummableFamily Γ' V β) (gh : Γ × Γ') :
(Function.support fun (i : α × β) ↦ (s i.1).coeff gh.1 • (t i.2).coeff gh.2).Finite :=
Set.Finite.subset (Set.toFinite ((s.finite_co_support' gh.1).prod
(t.finite_co_support' gh.2)).toFinset) (smul_support_subset_prod s t gh)
variable [VAdd Γ Γ'] [IsOrderedCancelVAdd Γ Γ']
open HahnModule
theorem isPWO_iUnion_support_prod_smul {s : α → HahnSeries Γ R} {t : β → HahnSeries Γ' V}
(hs : (⋃ a, (s a).support).IsPWO) (ht : (⋃ b, (t b).support).IsPWO) :
(⋃ (a : α × β), ((fun a ↦ (of R).symm
((s a.1) • (of R) (t a.2))) a).support).IsPWO := by
apply (hs.vadd ht).mono
have hsupp : ∀ ab : α × β, support ((fun ab ↦ (of R).symm (s ab.1 • (of R) (t ab.2))) ab) ⊆
(s ab.1).support +ᵥ (t ab.2).support := by
intro ab
refine Set.Subset.trans (fun x hx => ?_) (support_vaddAntidiagonal_subset_vadd
(hs := (s ab.1).isPWO_support) (ht := (t ab.2).isPWO_support))
contrapose! hx
simp only [Set.mem_setOf_eq, not_nonempty_iff_eq_empty] at hx
rw [mem_support, not_not, HahnModule.coeff_smul, hx, sum_empty]
refine Set.Subset.trans (Set.iUnion_mono fun a => (hsupp a)) ?_
simp_all only [Set.iUnion_subset_iff, Prod.forall]
exact fun a b => Set.vadd_subset_vadd (Set.subset_iUnion_of_subset a fun x y ↦ y)
(Set.subset_iUnion_of_subset b fun x y ↦ y)
theorem finite_co_support_prod_smul (s : SummableFamily Γ R α)
(t : SummableFamily Γ' V β) (g : Γ') :
Finite {(ab : α × β) |
((fun (ab : α × β) ↦ (of R).symm (s ab.1 • (of R) (t ab.2))) ab).coeff g ≠ 0} := by
apply ((VAddAntidiagonal s.isPWO_iUnion_support t.isPWO_iUnion_support g).finite_toSet.biUnion'
(fun gh _ => smul_support_finite s t gh)).subset _
exact fun ab hab => by
simp only [coeff_smul, ne_eq, Set.mem_setOf_eq] at hab
obtain ⟨ij, hij⟩ := Finset.exists_ne_zero_of_sum_ne_zero hab
simp only [mem_coe, mem_vaddAntidiagonal, Set.mem_iUnion, mem_support, ne_eq,
Function.mem_support, exists_prop, Prod.exists]
exact ⟨ij.1, ij.2, ⟨⟨ab.1, left_ne_zero_of_smul hij.2⟩, ⟨ab.2, right_ne_zero_of_smul hij.2⟩,
((mem_vaddAntidiagonal _ _ _).mp hij.1).2.2⟩, hij.2⟩
/-- An elementwise scalar multiplication of one summable family on another. -/
@[simps]
def smul (s : SummableFamily Γ R α) (t : SummableFamily Γ' V β) : SummableFamily Γ' V (α × β) where
toFun ab := (of R).symm (s (ab.1) • ((of R) (t (ab.2))))
isPWO_iUnion_support' :=
isPWO_iUnion_support_prod_smul s.isPWO_iUnion_support t.isPWO_iUnion_support
finite_co_support' g := finite_co_support_prod_smul s t g
@[deprecated (since := "2024-11-17")] noncomputable alias FamilySMul := smul
theorem sum_vAddAntidiagonal_eq (s : SummableFamily Γ R α) (t : SummableFamily Γ' V β) (g : Γ')
(a : α × β) :
∑ x ∈ VAddAntidiagonal (s a.1).isPWO_support' (t a.2).isPWO_support' g, (s a.1).coeff x.1 •
(t a.2).coeff x.2 = ∑ x ∈ VAddAntidiagonal s.isPWO_iUnion_support' t.isPWO_iUnion_support' g,
(s a.1).coeff x.1 • (t a.2).coeff x.2 := by
refine sum_subset (fun gh hgh => ?_) fun gh hgh h => ?_
· simp_all only [mem_vaddAntidiagonal, Function.mem_support, Set.mem_iUnion, mem_support]
exact ⟨Exists.intro a.1 hgh.1, Exists.intro a.2 hgh.2.1, trivial⟩
· by_cases hs : (s a.1).coeff gh.1 = 0
· exact smul_eq_zero_of_left hs ((t a.2).coeff gh.2)
· simp_all
theorem coeff_smul {R} {V} [Semiring R] [AddCommMonoid V] [Module R V]
(s : SummableFamily Γ R α) (t : SummableFamily Γ' V β) (g : Γ') :
(smul s t).hsum.coeff g = ∑ gh ∈ VAddAntidiagonal s.isPWO_iUnion_support
t.isPWO_iUnion_support g, (s.hsum.coeff gh.1) • (t.hsum.coeff gh.2) := by
rw [coeff_hsum]
simp only [coeff_hsum_eq_sum, smul_toFun, HahnModule.coeff_smul, Equiv.symm_apply_apply]
simp_rw [sum_vAddAntidiagonal_eq, Finset.smul_sum, Finset.sum_smul]
rw [← sum_finsum_comm _ _ <| fun gh _ => smul_support_finite s t gh]
refine sum_congr rfl fun gh _ => ?_
rw [finsum_eq_sum _ (smul_support_finite s t gh), ← sum_product_right']
refine sum_subset (fun ab hab => ?_) (fun ab _ hab => by simp_all)
have hsupp := smul_support_subset_prod s t gh
simp_all only [mem_vaddAntidiagonal, Set.mem_iUnion, mem_support, ne_eq, Set.Finite.mem_toFinset,
Function.mem_support, Set.Finite.coe_toFinset, support_subset_iff, Set.mem_prod,
Set.mem_setOf_eq, Prod.forall, coeff_support, mem_product]
exact hsupp ab.1 ab.2 hab
@[deprecated (since := "2024-11-17")] alias family_smul_coeff := coeff_smul
theorem smul_hsum {R} {V} [Semiring R] [AddCommMonoid V] [Module R V]
(s : SummableFamily Γ R α) (t : SummableFamily Γ' V β) :
(smul s t).hsum = (of R).symm (s.hsum • (of R) (t.hsum)) := by
ext g
rw [coeff_smul s t g, HahnModule.coeff_smul, Equiv.symm_apply_apply]
refine Eq.symm (sum_of_injOn (fun a ↦ a) (fun _ _ _ _ h ↦ h) (fun _ hgh => ?_)
(fun gh _ hgh => ?_) fun _ _ => by simp)
· simp_all only [mem_coe, mem_vaddAntidiagonal, mem_support, ne_eq, Set.mem_iUnion, and_true]
constructor
· rw [coeff_hsum_eq_sum] at hgh
have h' := Finset.exists_ne_zero_of_sum_ne_zero hgh.1
simpa using h'
· by_contra hi
simp_all
· simp only [Set.image_id', mem_coe, mem_vaddAntidiagonal, mem_support, ne_eq, not_and] at hgh
by_cases h : s.hsum.coeff gh.1 = 0
· exact smul_eq_zero_of_left h (t.hsum.coeff gh.2)
· simp_all
@[deprecated (since := "2024-11-17")] alias hsum_family_smul := smul_hsum
instance [AddCommMonoid R] [SMulWithZero R V] : SMul (HahnSeries Γ R) (SummableFamily Γ' V β) where
smul x t := Equiv (Equiv.punitProd β) <| smul (single x) t
theorem smul_eq {x : HahnSeries Γ R} {t : SummableFamily Γ' V β} :
x • t = Equiv (Equiv.punitProd β) (smul (single x) t) :=
rfl
@[simp]
theorem smul_apply {x : HahnSeries Γ R} {s : SummableFamily Γ' V α} {a : α} :
(x • s) a = (of R).symm (x • of R (s a)) :=
rfl
@[simp]
theorem hsum_smul_module {R} {V} [Semiring R] [AddCommMonoid V] [Module R V] {x : HahnSeries Γ R}
{s : SummableFamily Γ' V α} :
(x • s).hsum = (of R).symm (x • of R s.hsum) := by
rw [smul_eq, hsum_equiv, smul_hsum, hsum_single]
end SMul
section Semiring
variable [AddCommMonoid Γ] [PartialOrder Γ] [IsOrderedCancelAddMonoid Γ]
[PartialOrder Γ'] [AddAction Γ Γ'] [IsOrderedCancelVAdd Γ Γ'] [Semiring R]
instance [AddCommMonoid V] [Module R V] : Module (HahnSeries Γ R) (SummableFamily Γ' V α) where
smul := (· • ·)
smul_zero _ := ext fun _ => by simp
zero_smul _ := ext fun _ => by simp
| one_smul _ := ext fun _ => by rw [smul_apply, HahnModule.one_smul', Equiv.symm_apply_apply]
add_smul _ _ _ := ext fun _ => by simp [add_smul]
smul_add _ _ _ := ext fun _ => by simp
| Mathlib/RingTheory/HahnSeries/Summable.lean | 443 | 445 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Kim Morrison
-/
import Mathlib.Algebra.BigOperators.Finsupp.Basic
import Mathlib.Algebra.BigOperators.Group.Finset.Preimage
import Mathlib.Algebra.Module.Defs
import Mathlib.Data.Rat.BigOperators
/-!
# Miscellaneous definitions, lemmas, and constructions using finsupp
## Main declarations
* `Finsupp.graph`: the finset of input and output pairs with non-zero outputs.
* `Finsupp.mapRange.equiv`: `Finsupp.mapRange` as an equiv.
* `Finsupp.mapDomain`: maps the domain of a `Finsupp` by a function and by summing.
* `Finsupp.comapDomain`: postcomposition of a `Finsupp` with a function injective on the preimage
of its support.
* `Finsupp.some`: restrict a finitely supported function on `Option α` to a finitely supported
function on `α`.
* `Finsupp.filter`: `filter p f` is the finitely supported function that is `f a` if `p a` is true
and 0 otherwise.
* `Finsupp.frange`: the image of a finitely supported function on its support.
* `Finsupp.subtype_domain`: the restriction of a finitely supported function `f` to a subtype.
## Implementation notes
This file is a `noncomputable theory` and uses classical logic throughout.
## TODO
* This file is currently ~1600 lines long and is quite a miscellany of definitions and lemmas,
so it should be divided into smaller pieces.
* Expand the list of definitions and important lemmas to the module docstring.
-/
noncomputable section
open Finset Function
variable {α β γ ι M M' N P G H R S : Type*}
namespace Finsupp
/-! ### Declarations about `graph` -/
section Graph
variable [Zero M]
/-- The graph of a finitely supported function over its support, i.e. the finset of input and output
pairs with non-zero outputs. -/
def graph (f : α →₀ M) : Finset (α × M) :=
f.support.map ⟨fun a => Prod.mk a (f a), fun _ _ h => (Prod.mk.inj h).1⟩
theorem mk_mem_graph_iff {a : α} {m : M} {f : α →₀ M} : (a, m) ∈ f.graph ↔ f a = m ∧ m ≠ 0 := by
simp_rw [graph, mem_map, mem_support_iff]
constructor
· rintro ⟨b, ha, rfl, -⟩
exact ⟨rfl, ha⟩
· rintro ⟨rfl, ha⟩
exact ⟨a, ha, rfl⟩
@[simp]
theorem mem_graph_iff {c : α × M} {f : α →₀ M} : c ∈ f.graph ↔ f c.1 = c.2 ∧ c.2 ≠ 0 := by
cases c
exact mk_mem_graph_iff
theorem mk_mem_graph (f : α →₀ M) {a : α} (ha : a ∈ f.support) : (a, f a) ∈ f.graph :=
mk_mem_graph_iff.2 ⟨rfl, mem_support_iff.1 ha⟩
theorem apply_eq_of_mem_graph {a : α} {m : M} {f : α →₀ M} (h : (a, m) ∈ f.graph) : f a = m :=
(mem_graph_iff.1 h).1
@[simp 1100] -- Higher priority shortcut instance for `mem_graph_iff`.
theorem not_mem_graph_snd_zero (a : α) (f : α →₀ M) : (a, (0 : M)) ∉ f.graph := fun h =>
(mem_graph_iff.1 h).2.irrefl
@[simp]
theorem image_fst_graph [DecidableEq α] (f : α →₀ M) : f.graph.image Prod.fst = f.support := by
classical
simp only [graph, map_eq_image, image_image, Embedding.coeFn_mk, Function.comp_def, image_id']
theorem graph_injective (α M) [Zero M] : Injective (@graph α M _) := by
intro f g h
classical
have hsup : f.support = g.support := by rw [← image_fst_graph, h, image_fst_graph]
refine ext_iff'.2 ⟨hsup, fun x hx => apply_eq_of_mem_graph <| h.symm ▸ ?_⟩
exact mk_mem_graph _ (hsup ▸ hx)
@[simp]
theorem graph_inj {f g : α →₀ M} : f.graph = g.graph ↔ f = g :=
(graph_injective α M).eq_iff
@[simp]
theorem graph_zero : graph (0 : α →₀ M) = ∅ := by simp [graph]
@[simp]
theorem graph_eq_empty {f : α →₀ M} : f.graph = ∅ ↔ f = 0 :=
(graph_injective α M).eq_iff' graph_zero
end Graph
end Finsupp
/-! ### Declarations about `mapRange` -/
section MapRange
namespace Finsupp
section Equiv
variable [Zero M] [Zero N] [Zero P]
/-- `Finsupp.mapRange` as an equiv. -/
@[simps apply]
def mapRange.equiv (f : M ≃ N) (hf : f 0 = 0) (hf' : f.symm 0 = 0) : (α →₀ M) ≃ (α →₀ N) where
toFun := (mapRange f hf : (α →₀ M) → α →₀ N)
invFun := (mapRange f.symm hf' : (α →₀ N) → α →₀ M)
left_inv x := by
rw [← mapRange_comp _ _ _ _] <;> simp_rw [Equiv.symm_comp_self]
· exact mapRange_id _
· rfl
right_inv x := by
rw [← mapRange_comp _ _ _ _] <;> simp_rw [Equiv.self_comp_symm]
· exact mapRange_id _
· rfl
@[simp]
theorem mapRange.equiv_refl : mapRange.equiv (Equiv.refl M) rfl rfl = Equiv.refl (α →₀ M) :=
Equiv.ext mapRange_id
theorem mapRange.equiv_trans (f : M ≃ N) (hf : f 0 = 0) (hf') (f₂ : N ≃ P) (hf₂ : f₂ 0 = 0) (hf₂') :
(mapRange.equiv (f.trans f₂) (by rw [Equiv.trans_apply, hf, hf₂])
(by rw [Equiv.symm_trans_apply, hf₂', hf']) :
(α →₀ _) ≃ _) =
(mapRange.equiv f hf hf').trans (mapRange.equiv f₂ hf₂ hf₂') :=
Equiv.ext <| mapRange_comp f₂ hf₂ f hf ((congrArg f₂ hf).trans hf₂)
@[simp]
theorem mapRange.equiv_symm (f : M ≃ N) (hf hf') :
((mapRange.equiv f hf hf').symm : (α →₀ _) ≃ _) = mapRange.equiv f.symm hf' hf :=
Equiv.ext fun _ => rfl
end Equiv
section ZeroHom
variable [Zero M] [Zero N] [Zero P]
/-- Composition with a fixed zero-preserving homomorphism is itself a zero-preserving homomorphism
on functions. -/
@[simps]
def mapRange.zeroHom (f : ZeroHom M N) : ZeroHom (α →₀ M) (α →₀ N) where
toFun := (mapRange f f.map_zero : (α →₀ M) → α →₀ N)
map_zero' := mapRange_zero
@[simp]
theorem mapRange.zeroHom_id : mapRange.zeroHom (ZeroHom.id M) = ZeroHom.id (α →₀ M) :=
ZeroHom.ext mapRange_id
theorem mapRange.zeroHom_comp (f : ZeroHom N P) (f₂ : ZeroHom M N) :
(mapRange.zeroHom (f.comp f₂) : ZeroHom (α →₀ _) _) =
(mapRange.zeroHom f).comp (mapRange.zeroHom f₂) :=
ZeroHom.ext <| mapRange_comp f (map_zero f) f₂ (map_zero f₂) (by simp only [comp_apply, map_zero])
end ZeroHom
section AddMonoidHom
variable [AddCommMonoid M] [AddCommMonoid N] [AddCommMonoid P]
variable {F : Type*} [FunLike F M N] [AddMonoidHomClass F M N]
/-- Composition with a fixed additive homomorphism is itself an additive homomorphism on functions.
-/
@[simps]
def mapRange.addMonoidHom (f : M →+ N) : (α →₀ M) →+ α →₀ N where
toFun := (mapRange f f.map_zero : (α →₀ M) → α →₀ N)
map_zero' := mapRange_zero
-- Porting note: need either `dsimp only` or to specify `hf`:
-- see also: https://github.com/leanprover-community/mathlib4/issues/12129
map_add' := mapRange_add (hf := f.map_zero) f.map_add
@[simp]
theorem mapRange.addMonoidHom_id :
mapRange.addMonoidHom (AddMonoidHom.id M) = AddMonoidHom.id (α →₀ M) :=
AddMonoidHom.ext mapRange_id
theorem mapRange.addMonoidHom_comp (f : N →+ P) (f₂ : M →+ N) :
(mapRange.addMonoidHom (f.comp f₂) : (α →₀ _) →+ _) =
(mapRange.addMonoidHom f).comp (mapRange.addMonoidHom f₂) :=
AddMonoidHom.ext <|
mapRange_comp f (map_zero f) f₂ (map_zero f₂) (by simp only [comp_apply, map_zero])
@[simp]
theorem mapRange.addMonoidHom_toZeroHom (f : M →+ N) :
(mapRange.addMonoidHom f).toZeroHom = (mapRange.zeroHom f.toZeroHom : ZeroHom (α →₀ _) _) :=
ZeroHom.ext fun _ => rfl
theorem mapRange_multiset_sum (f : F) (m : Multiset (α →₀ M)) :
mapRange f (map_zero f) m.sum = (m.map fun x => mapRange f (map_zero f) x).sum :=
(mapRange.addMonoidHom (f : M →+ N) : (α →₀ _) →+ _).map_multiset_sum _
theorem mapRange_finset_sum (f : F) (s : Finset ι) (g : ι → α →₀ M) :
mapRange f (map_zero f) (∑ x ∈ s, g x) = ∑ x ∈ s, mapRange f (map_zero f) (g x) :=
map_sum (mapRange.addMonoidHom (f : M →+ N)) _ _
/-- `Finsupp.mapRange.AddMonoidHom` as an equiv. -/
@[simps apply]
def mapRange.addEquiv (f : M ≃+ N) : (α →₀ M) ≃+ (α →₀ N) :=
{ mapRange.addMonoidHom f.toAddMonoidHom with
toFun := (mapRange f f.map_zero : (α →₀ M) → α →₀ N)
invFun := (mapRange f.symm f.symm.map_zero : (α →₀ N) → α →₀ M)
left_inv := fun x => by
rw [← mapRange_comp _ _ _ _] <;> simp_rw [AddEquiv.symm_comp_self]
· exact mapRange_id _
· rfl
right_inv := fun x => by
rw [← mapRange_comp _ _ _ _] <;> simp_rw [AddEquiv.self_comp_symm]
· exact mapRange_id _
· rfl }
@[simp]
theorem mapRange.addEquiv_refl : mapRange.addEquiv (AddEquiv.refl M) = AddEquiv.refl (α →₀ M) :=
AddEquiv.ext mapRange_id
theorem mapRange.addEquiv_trans (f : M ≃+ N) (f₂ : N ≃+ P) :
(mapRange.addEquiv (f.trans f₂) : (α →₀ M) ≃+ (α →₀ P)) =
(mapRange.addEquiv f).trans (mapRange.addEquiv f₂) :=
AddEquiv.ext (mapRange_comp _ f₂.map_zero _ f.map_zero (by simp))
@[simp]
theorem mapRange.addEquiv_symm (f : M ≃+ N) :
((mapRange.addEquiv f).symm : (α →₀ _) ≃+ _) = mapRange.addEquiv f.symm :=
AddEquiv.ext fun _ => rfl
@[simp]
theorem mapRange.addEquiv_toAddMonoidHom (f : M ≃+ N) :
((mapRange.addEquiv f : (α →₀ _) ≃+ _) : _ →+ _) =
(mapRange.addMonoidHom f.toAddMonoidHom : (α →₀ _) →+ _) :=
AddMonoidHom.ext fun _ => rfl
@[simp]
theorem mapRange.addEquiv_toEquiv (f : M ≃+ N) :
↑(mapRange.addEquiv f : (α →₀ _) ≃+ _) =
(mapRange.equiv (f : M ≃ N) f.map_zero f.symm.map_zero : (α →₀ _) ≃ _) :=
Equiv.ext fun _ => rfl
end AddMonoidHom
end Finsupp
end MapRange
/-! ### Declarations about `equivCongrLeft` -/
section EquivCongrLeft
variable [Zero M]
namespace Finsupp
/-- Given `f : α ≃ β`, we can map `l : α →₀ M` to `equivMapDomain f l : β →₀ M` (computably)
by mapping the support forwards and the function backwards. -/
def equivMapDomain (f : α ≃ β) (l : α →₀ M) : β →₀ M where
support := l.support.map f.toEmbedding
toFun a := l (f.symm a)
mem_support_toFun a := by simp only [Finset.mem_map_equiv, mem_support_toFun]; rfl
@[simp]
theorem equivMapDomain_apply (f : α ≃ β) (l : α →₀ M) (b : β) :
equivMapDomain f l b = l (f.symm b) :=
rfl
theorem equivMapDomain_symm_apply (f : α ≃ β) (l : β →₀ M) (a : α) :
equivMapDomain f.symm l a = l (f a) :=
rfl
@[simp]
theorem equivMapDomain_refl (l : α →₀ M) : equivMapDomain (Equiv.refl _) l = l := by ext x; rfl
theorem equivMapDomain_refl' : equivMapDomain (Equiv.refl _) = @id (α →₀ M) := by ext x; rfl
theorem equivMapDomain_trans (f : α ≃ β) (g : β ≃ γ) (l : α →₀ M) :
equivMapDomain (f.trans g) l = equivMapDomain g (equivMapDomain f l) := by ext x; rfl
theorem equivMapDomain_trans' (f : α ≃ β) (g : β ≃ γ) :
@equivMapDomain _ _ M _ (f.trans g) = equivMapDomain g ∘ equivMapDomain f := by ext x; rfl
@[simp]
theorem equivMapDomain_single (f : α ≃ β) (a : α) (b : M) :
equivMapDomain f (single a b) = single (f a) b := by
classical
ext x
simp only [single_apply, Equiv.apply_eq_iff_eq_symm_apply, equivMapDomain_apply]
@[simp]
theorem equivMapDomain_zero {f : α ≃ β} : equivMapDomain f (0 : α →₀ M) = (0 : β →₀ M) := by
ext; simp only [equivMapDomain_apply, coe_zero, Pi.zero_apply]
@[to_additive (attr := simp)]
theorem prod_equivMapDomain [CommMonoid N] (f : α ≃ β) (l : α →₀ M) (g : β → M → N) :
prod (equivMapDomain f l) g = prod l (fun a m => g (f a) m) := by
simp [prod, equivMapDomain]
/-- Given `f : α ≃ β`, the finitely supported function spaces are also in bijection:
`(α →₀ M) ≃ (β →₀ M)`.
This is the finitely-supported version of `Equiv.piCongrLeft`. -/
def equivCongrLeft (f : α ≃ β) : (α →₀ M) ≃ (β →₀ M) := by
refine ⟨equivMapDomain f, equivMapDomain f.symm, fun f => ?_, fun f => ?_⟩ <;> ext x <;>
simp only [equivMapDomain_apply, Equiv.symm_symm, Equiv.symm_apply_apply,
Equiv.apply_symm_apply]
@[simp]
theorem equivCongrLeft_apply (f : α ≃ β) (l : α →₀ M) : equivCongrLeft f l = equivMapDomain f l :=
rfl
@[simp]
theorem equivCongrLeft_symm (f : α ≃ β) :
(@equivCongrLeft _ _ M _ f).symm = equivCongrLeft f.symm :=
rfl
end Finsupp
end EquivCongrLeft
section CastFinsupp
variable [Zero M] (f : α →₀ M)
namespace Nat
@[simp, norm_cast]
theorem cast_finsuppProd [CommSemiring R] (g : α → M → ℕ) :
(↑(f.prod g) : R) = f.prod fun a b => ↑(g a b) :=
Nat.cast_prod _ _
@[deprecated (since := "2025-04-06")] alias cast_finsupp_prod := cast_finsuppProd
@[simp, norm_cast]
theorem cast_finsupp_sum [AddCommMonoidWithOne R] (g : α → M → ℕ) :
(↑(f.sum g) : R) = f.sum fun a b => ↑(g a b) :=
Nat.cast_sum _ _
end Nat
namespace Int
@[simp, norm_cast]
theorem cast_finsuppProd [CommRing R] (g : α → M → ℤ) :
(↑(f.prod g) : R) = f.prod fun a b => ↑(g a b) :=
Int.cast_prod _ _
@[deprecated (since := "2025-04-06")] alias cast_finsupp_prod := cast_finsuppProd
@[simp, norm_cast]
theorem cast_finsupp_sum [AddCommGroupWithOne R] (g : α → M → ℤ) :
(↑(f.sum g) : R) = f.sum fun a b => ↑(g a b) :=
Int.cast_sum _ _
end Int
namespace Rat
@[simp, norm_cast]
theorem cast_finsupp_sum [DivisionRing R] [CharZero R] (g : α → M → ℚ) :
(↑(f.sum g) : R) = f.sum fun a b => ↑(g a b) :=
cast_sum _ _
@[simp, norm_cast]
theorem cast_finsuppProd [Field R] [CharZero R] (g : α → M → ℚ) :
(↑(f.prod g) : R) = f.prod fun a b => ↑(g a b) :=
cast_prod _ _
@[deprecated (since := "2025-04-06")] alias cast_finsupp_prod := cast_finsuppProd
end Rat
end CastFinsupp
/-! ### Declarations about `mapDomain` -/
namespace Finsupp
section MapDomain
variable [AddCommMonoid M] {v v₁ v₂ : α →₀ M}
/-- Given `f : α → β` and `v : α →₀ M`, `mapDomain f v : β →₀ M`
is the finitely supported function whose value at `a : β` is the sum
of `v x` over all `x` such that `f x = a`. -/
def mapDomain (f : α → β) (v : α →₀ M) : β →₀ M :=
v.sum fun a => single (f a)
theorem mapDomain_apply {f : α → β} (hf : Function.Injective f) (x : α →₀ M) (a : α) :
mapDomain f x (f a) = x a := by
rw [mapDomain, sum_apply, sum_eq_single a, single_eq_same]
· intro b _ hba
exact single_eq_of_ne (hf.ne hba)
· intro _
rw [single_zero, coe_zero, Pi.zero_apply]
theorem mapDomain_notin_range {f : α → β} (x : α →₀ M) (a : β) (h : a ∉ Set.range f) :
mapDomain f x a = 0 := by
rw [mapDomain, sum_apply, sum]
exact Finset.sum_eq_zero fun a' _ => single_eq_of_ne fun eq => h <| eq ▸ Set.mem_range_self _
@[simp]
theorem mapDomain_id : mapDomain id v = v :=
sum_single _
theorem mapDomain_comp {f : α → β} {g : β → γ} :
mapDomain (g ∘ f) v = mapDomain g (mapDomain f v) := by
refine ((sum_sum_index ?_ ?_).trans ?_).symm
· intro
exact single_zero _
· intro
exact single_add _
refine sum_congr fun _ _ => sum_single_index ?_
exact single_zero _
@[simp]
theorem mapDomain_single {f : α → β} {a : α} {b : M} : mapDomain f (single a b) = single (f a) b :=
sum_single_index <| single_zero _
@[simp]
theorem mapDomain_zero {f : α → β} : mapDomain f (0 : α →₀ M) = (0 : β →₀ M) :=
sum_zero_index
theorem mapDomain_congr {f g : α → β} (h : ∀ x ∈ v.support, f x = g x) :
v.mapDomain f = v.mapDomain g :=
Finset.sum_congr rfl fun _ H => by simp only [h _ H]
theorem mapDomain_add {f : α → β} : mapDomain f (v₁ + v₂) = mapDomain f v₁ + mapDomain f v₂ :=
sum_add_index' (fun _ => single_zero _) fun _ => single_add _
@[simp]
theorem mapDomain_equiv_apply {f : α ≃ β} (x : α →₀ M) (a : β) :
mapDomain f x a = x (f.symm a) := by
conv_lhs => rw [← f.apply_symm_apply a]
exact mapDomain_apply f.injective _ _
/-- `Finsupp.mapDomain` is an `AddMonoidHom`. -/
@[simps]
def mapDomain.addMonoidHom (f : α → β) : (α →₀ M) →+ β →₀ M where
toFun := mapDomain f
map_zero' := mapDomain_zero
map_add' _ _ := mapDomain_add
@[simp]
theorem mapDomain.addMonoidHom_id : mapDomain.addMonoidHom id = AddMonoidHom.id (α →₀ M) :=
AddMonoidHom.ext fun _ => mapDomain_id
theorem mapDomain.addMonoidHom_comp (f : β → γ) (g : α → β) :
(mapDomain.addMonoidHom (f ∘ g) : (α →₀ M) →+ γ →₀ M) =
(mapDomain.addMonoidHom f).comp (mapDomain.addMonoidHom g) :=
AddMonoidHom.ext fun _ => mapDomain_comp
theorem mapDomain_finset_sum {f : α → β} {s : Finset ι} {v : ι → α →₀ M} :
mapDomain f (∑ i ∈ s, v i) = ∑ i ∈ s, mapDomain f (v i) :=
map_sum (mapDomain.addMonoidHom f) _ _
theorem mapDomain_sum [Zero N] {f : α → β} {s : α →₀ N} {v : α → N → α →₀ M} :
mapDomain f (s.sum v) = s.sum fun a b => mapDomain f (v a b) :=
map_finsuppSum (mapDomain.addMonoidHom f : (α →₀ M) →+ β →₀ M) _ _
theorem mapDomain_support [DecidableEq β] {f : α → β} {s : α →₀ M} :
(s.mapDomain f).support ⊆ s.support.image f :=
Finset.Subset.trans support_sum <|
Finset.Subset.trans (Finset.biUnion_mono fun _ _ => support_single_subset) <| by
rw [Finset.biUnion_singleton]
theorem mapDomain_apply' (S : Set α) {f : α → β} (x : α →₀ M) (hS : (x.support : Set α) ⊆ S)
(hf : Set.InjOn f S) {a : α} (ha : a ∈ S) : mapDomain f x (f a) = x a := by
classical
rw [mapDomain, sum_apply, sum]
simp_rw [single_apply]
by_cases hax : a ∈ x.support
· rw [← Finset.add_sum_erase _ _ hax, if_pos rfl]
convert add_zero (x a)
refine Finset.sum_eq_zero fun i hi => if_neg ?_
exact (hf.mono hS).ne (Finset.mem_of_mem_erase hi) hax (Finset.ne_of_mem_erase hi)
· rw [not_mem_support_iff.1 hax]
refine Finset.sum_eq_zero fun i hi => if_neg ?_
exact hf.ne (hS hi) ha (ne_of_mem_of_not_mem hi hax)
theorem mapDomain_support_of_injOn [DecidableEq β] {f : α → β} (s : α →₀ M)
(hf : Set.InjOn f s.support) : (mapDomain f s).support = Finset.image f s.support :=
Finset.Subset.antisymm mapDomain_support <| by
intro x hx
simp only [mem_image, exists_prop, mem_support_iff, Ne] at hx
rcases hx with ⟨hx_w, hx_h_left, rfl⟩
simp only [mem_support_iff, Ne]
rw [mapDomain_apply' (↑s.support : Set _) _ _ hf]
· exact hx_h_left
· simp only [mem_coe, mem_support_iff, Ne]
exact hx_h_left
· exact Subset.refl _
theorem mapDomain_support_of_injective [DecidableEq β] {f : α → β} (hf : Function.Injective f)
(s : α →₀ M) : (mapDomain f s).support = Finset.image f s.support :=
mapDomain_support_of_injOn s hf.injOn
@[to_additive]
theorem prod_mapDomain_index [CommMonoid N] {f : α → β} {s : α →₀ M} {h : β → M → N}
(h_zero : ∀ b, h b 0 = 1) (h_add : ∀ b m₁ m₂, h b (m₁ + m₂) = h b m₁ * h b m₂) :
(mapDomain f s).prod h = s.prod fun a m => h (f a) m :=
(prod_sum_index h_zero h_add).trans <| prod_congr fun _ _ => prod_single_index (h_zero _)
-- Note that in `prod_mapDomain_index`, `M` is still an additive monoid,
-- so there is no analogous version in terms of `MonoidHom`.
/-- A version of `sum_mapDomain_index` that takes a bundled `AddMonoidHom`,
rather than separate linearity hypotheses.
-/
@[simp]
theorem sum_mapDomain_index_addMonoidHom [AddCommMonoid N] {f : α → β} {s : α →₀ M}
(h : β → M →+ N) : ((mapDomain f s).sum fun b m => h b m) = s.sum fun a m => h (f a) m :=
sum_mapDomain_index (fun b => (h b).map_zero) (fun b _ _ => (h b).map_add _ _)
theorem embDomain_eq_mapDomain (f : α ↪ β) (v : α →₀ M) : embDomain f v = mapDomain f v := by
ext a
by_cases h : a ∈ Set.range f
· rcases h with ⟨a, rfl⟩
rw [mapDomain_apply f.injective, embDomain_apply]
· rw [mapDomain_notin_range, embDomain_notin_range] <;> assumption
@[to_additive]
theorem prod_mapDomain_index_inj [CommMonoid N] {f : α → β} {s : α →₀ M} {h : β → M → N}
(hf : Function.Injective f) : (s.mapDomain f).prod h = s.prod fun a b => h (f a) b := by
rw [← Function.Embedding.coeFn_mk f hf, ← embDomain_eq_mapDomain, prod_embDomain]
theorem mapDomain_injective {f : α → β} (hf : Function.Injective f) :
Function.Injective (mapDomain f : (α →₀ M) → β →₀ M) := by
intro v₁ v₂ eq
ext a
have : mapDomain f v₁ (f a) = mapDomain f v₂ (f a) := by rw [eq]
rwa [mapDomain_apply hf, mapDomain_apply hf] at this
/-- When `f` is an embedding we have an embedding `(α →₀ ℕ) ↪ (β →₀ ℕ)` given by `mapDomain`. -/
@[simps]
def mapDomainEmbedding {α β : Type*} (f : α ↪ β) : (α →₀ ℕ) ↪ β →₀ ℕ :=
⟨Finsupp.mapDomain f, Finsupp.mapDomain_injective f.injective⟩
theorem mapDomain.addMonoidHom_comp_mapRange [AddCommMonoid N] (f : α → β) (g : M →+ N) :
(mapDomain.addMonoidHom f).comp (mapRange.addMonoidHom g) =
(mapRange.addMonoidHom g).comp (mapDomain.addMonoidHom f) := by
ext
simp only [AddMonoidHom.coe_comp, Finsupp.mapRange_single, Finsupp.mapDomain.addMonoidHom_apply,
Finsupp.singleAddHom_apply, eq_self_iff_true, Function.comp_apply, Finsupp.mapDomain_single,
Finsupp.mapRange.addMonoidHom_apply]
/-- When `g` preserves addition, `mapRange` and `mapDomain` commute. -/
theorem mapDomain_mapRange [AddCommMonoid N] (f : α → β) (v : α →₀ M) (g : M → N) (h0 : g 0 = 0)
(hadd : ∀ x y, g (x + y) = g x + g y) :
mapDomain f (mapRange g h0 v) = mapRange g h0 (mapDomain f v) :=
let g' : M →+ N :=
{ toFun := g
map_zero' := h0
map_add' := hadd }
DFunLike.congr_fun (mapDomain.addMonoidHom_comp_mapRange f g') v
theorem sum_update_add [AddZeroClass α] [AddCommMonoid β] (f : ι →₀ α) (i : ι) (a : α)
(g : ι → α → β) (hg : ∀ i, g i 0 = 0)
(hgg : ∀ (j : ι) (a₁ a₂ : α), g j (a₁ + a₂) = g j a₁ + g j a₂) :
(f.update i a).sum g + g i (f i) = f.sum g + g i a := by
rw [update_eq_erase_add_single, sum_add_index' hg hgg]
conv_rhs => rw [← Finsupp.update_self f i]
rw [update_eq_erase_add_single, sum_add_index' hg hgg, add_assoc, add_assoc]
congr 1
rw [add_comm, sum_single_index (hg _), sum_single_index (hg _)]
theorem mapDomain_injOn (S : Set α) {f : α → β} (hf : Set.InjOn f S) :
Set.InjOn (mapDomain f : (α →₀ M) → β →₀ M) { w | (w.support : Set α) ⊆ S } := by
intro v₁ hv₁ v₂ hv₂ eq
ext a
classical
by_cases h : a ∈ v₁.support ∪ v₂.support
· rw [← mapDomain_apply' S _ hv₁ hf _, ← mapDomain_apply' S _ hv₂ hf _, eq] <;>
· apply Set.union_subset hv₁ hv₂
exact mod_cast h
· simp only [not_or, mem_union, not_not, mem_support_iff] at h
simp [h]
theorem equivMapDomain_eq_mapDomain {M} [AddCommMonoid M] (f : α ≃ β) (l : α →₀ M) :
equivMapDomain f l = mapDomain f l := by ext x; simp [mapDomain_equiv_apply]
end MapDomain
/-! ### Declarations about `comapDomain` -/
section ComapDomain
/-- Given `f : α → β`, `l : β →₀ M` and a proof `hf` that `f` is injective on
the preimage of `l.support`, `comapDomain f l hf` is the finitely supported function
from `α` to `M` given by composing `l` with `f`. -/
@[simps support]
def comapDomain [Zero M] (f : α → β) (l : β →₀ M) (hf : Set.InjOn f (f ⁻¹' ↑l.support)) :
α →₀ M where
support := l.support.preimage f hf
toFun a := l (f a)
mem_support_toFun := by
intro a
simp only [Finset.mem_def.symm, Finset.mem_preimage]
exact l.mem_support_toFun (f a)
@[simp]
theorem comapDomain_apply [Zero M] (f : α → β) (l : β →₀ M) (hf : Set.InjOn f (f ⁻¹' ↑l.support))
(a : α) : comapDomain f l hf a = l (f a) :=
rfl
theorem sum_comapDomain [Zero M] [AddCommMonoid N] (f : α → β) (l : β →₀ M) (g : β → M → N)
(hf : Set.BijOn f (f ⁻¹' ↑l.support) ↑l.support) :
(comapDomain f l hf.injOn).sum (g ∘ f) = l.sum g := by
simp only [sum, comapDomain_apply, (· ∘ ·), comapDomain]
exact Finset.sum_preimage_of_bij f _ hf fun x => g x (l x)
theorem eq_zero_of_comapDomain_eq_zero [Zero M] (f : α → β) (l : β →₀ M)
(hf : Set.BijOn f (f ⁻¹' ↑l.support) ↑l.support) : comapDomain f l hf.injOn = 0 → l = 0 := by
rw [← support_eq_empty, ← support_eq_empty, comapDomain]
simp only [Finset.ext_iff, Finset.not_mem_empty, iff_false, mem_preimage]
intro h a ha
obtain ⟨b, hb⟩ := hf.2.2 ha
exact h b (hb.2.symm ▸ ha)
section FInjective
section Zero
variable [Zero M]
lemma embDomain_comapDomain {f : α ↪ β} {g : β →₀ M} (hg : ↑g.support ⊆ Set.range f) :
embDomain f (comapDomain f g f.injective.injOn) = g := by
ext b
by_cases hb : b ∈ Set.range f
· obtain ⟨a, rfl⟩ := hb
rw [embDomain_apply, comapDomain_apply]
· replace hg : g b = 0 := not_mem_support_iff.mp <| mt (hg ·) hb
rw [embDomain_notin_range _ _ _ hb, hg]
/-- Note the `hif` argument is needed for this to work in `rw`. -/
@[simp]
theorem comapDomain_zero (f : α → β)
(hif : Set.InjOn f (f ⁻¹' ↑(0 : β →₀ M).support) := Finset.coe_empty ▸ (Set.injOn_empty f)) :
comapDomain f (0 : β →₀ M) hif = (0 : α →₀ M) := by
ext
rfl
@[simp]
theorem comapDomain_single (f : α → β) (a : α) (m : M)
(hif : Set.InjOn f (f ⁻¹' (single (f a) m).support)) :
comapDomain f (Finsupp.single (f a) m) hif = Finsupp.single a m := by
rcases eq_or_ne m 0 with (rfl | hm)
· simp only [single_zero, comapDomain_zero]
· rw [eq_single_iff, comapDomain_apply, comapDomain_support, ← Finset.coe_subset, coe_preimage,
support_single_ne_zero _ hm, coe_singleton, coe_singleton, single_eq_same]
rw [support_single_ne_zero _ hm, coe_singleton] at hif
exact ⟨fun x hx => hif hx rfl hx, rfl⟩
end Zero
section AddZeroClass
variable [AddZeroClass M] {f : α → β}
theorem comapDomain_add (v₁ v₂ : β →₀ M) (hv₁ : Set.InjOn f (f ⁻¹' ↑v₁.support))
(hv₂ : Set.InjOn f (f ⁻¹' ↑v₂.support)) (hv₁₂ : Set.InjOn f (f ⁻¹' ↑(v₁ + v₂).support)) :
comapDomain f (v₁ + v₂) hv₁₂ = comapDomain f v₁ hv₁ + comapDomain f v₂ hv₂ := by
ext
simp only [comapDomain_apply, coe_add, Pi.add_apply]
/-- A version of `Finsupp.comapDomain_add` that's easier to use. -/
theorem comapDomain_add_of_injective (hf : Function.Injective f) (v₁ v₂ : β →₀ M) :
comapDomain f (v₁ + v₂) hf.injOn =
comapDomain f v₁ hf.injOn + comapDomain f v₂ hf.injOn :=
comapDomain_add _ _ _ _ _
/-- `Finsupp.comapDomain` is an `AddMonoidHom`. -/
@[simps]
def comapDomain.addMonoidHom (hf : Function.Injective f) : (β →₀ M) →+ α →₀ M where
toFun x := comapDomain f x hf.injOn
map_zero' := comapDomain_zero f
map_add' := comapDomain_add_of_injective hf
end AddZeroClass
variable [AddCommMonoid M] (f : α → β)
theorem mapDomain_comapDomain (hf : Function.Injective f) (l : β →₀ M)
(hl : ↑l.support ⊆ Set.range f) :
mapDomain f (comapDomain f l hf.injOn) = l := by
conv_rhs => rw [← embDomain_comapDomain (f := ⟨f, hf⟩) hl (M := M), embDomain_eq_mapDomain]
rfl
end FInjective
end ComapDomain
/-! ### Declarations about finitely supported functions whose support is an `Option` type -/
section Option
/-- Restrict a finitely supported function on `Option α` to a finitely supported function on `α`. -/
def some [Zero M] (f : Option α →₀ M) : α →₀ M :=
f.comapDomain Option.some fun _ => by simp
@[simp]
theorem some_apply [Zero M] (f : Option α →₀ M) (a : α) : f.some a = f (Option.some a) :=
rfl
@[simp]
theorem some_zero [Zero M] : (0 : Option α →₀ M).some = 0 := by
ext
simp
@[simp]
theorem some_add [AddZeroClass M] (f g : Option α →₀ M) : (f + g).some = f.some + g.some := by
ext
simp
@[simp]
theorem some_single_none [Zero M] (m : M) : (single none m : Option α →₀ M).some = 0 := by
ext
simp
@[simp]
theorem some_single_some [Zero M] (a : α) (m : M) :
(single (Option.some a) m : Option α →₀ M).some = single a m := by
classical
ext b
simp [single_apply]
@[to_additive]
theorem prod_option_index [AddZeroClass M] [CommMonoid N] (f : Option α →₀ M)
(b : Option α → M → N) (h_zero : ∀ o, b o 0 = 1)
(h_add : ∀ o m₁ m₂, b o (m₁ + m₂) = b o m₁ * b o m₂) :
f.prod b = b none (f none) * f.some.prod fun a => b (Option.some a) := by
classical
induction f using induction_linear with
| zero => simp [some_zero, h_zero]
| add f₁ f₂ h₁ h₂ =>
rw [Finsupp.prod_add_index, h₁, h₂, some_add, Finsupp.prod_add_index]
· simp only [h_add, Pi.add_apply, Finsupp.coe_add]
rw [mul_mul_mul_comm]
all_goals simp [h_zero, h_add]
| single a m => cases a <;> simp [h_zero, h_add]
theorem sum_option_index_smul [Semiring R] [AddCommMonoid M] [Module R M] (f : Option α →₀ R)
(b : Option α → M) :
(f.sum fun o r => r • b o) = f none • b none + f.some.sum fun a r => r • b (Option.some a) :=
f.sum_option_index _ (fun _ => zero_smul _ _) fun _ _ _ => add_smul _ _ _
theorem eq_option_embedding_update_none_iff [Zero M] {n : Option α →₀ M} {m : α →₀ M} {i : M} :
(n = (embDomain Embedding.some m).update none i) ↔
n none = i ∧ n.some = m := by
classical
rw [Finsupp.ext_iff, Option.forall, Finsupp.ext_iff]
apply and_congr
· simp
· apply forall_congr'
intro
simp only [coe_update, ne_eq, reduceCtorEq, not_false_eq_true, update_of_ne, some_apply]
rw [← Embedding.some_apply, embDomain_apply, Embedding.some_apply]
@[simp] lemma some_embDomain_some [Zero M] (f : α →₀ M) : (f.embDomain .some).some = f := by
ext; rw [some_apply]; exact embDomain_apply _ _ _
@[simp] lemma embDomain_some_none [Zero M] (f : α →₀ M) : f.embDomain .some .none = 0 :=
embDomain_notin_range _ _ _ (by simp)
end Option
| /-! ### Declarations about `Finsupp.filter` -/
section Filter
| Mathlib/Data/Finsupp/Basic.lean | 785 | 789 |
/-
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
namespace Measure
/-- If `μ` is a locally finite measure on `ℝⁿ`, then `fun J ↦ μ.real J` is a box-additive
function. -/
@[simps]
def toBoxAdditive [Finite ι] (μ : Measure (ι → ℝ)) [IsLocallyFiniteMeasure μ] : ι →ᵇᵃ[⊤] ℝ where
toFun J := μ.real J
sum_partition_boxes' J _ π hπ := by rw [← π.measure_iUnion_toReal, hπ.iUnion_eq]
end Measure
end MeasureTheory
namespace BoxIntegral
open MeasureTheory
namespace Box
variable [Fintype ι]
-- This is not a `simp` lemma because the left hand side simplifies already.
-- See `volume_apply'` for the relevant `simp` lemma.
theorem volume_apply (I : Box ι) :
(volume : Measure (ι → ℝ)).toBoxAdditive I = ∏ i, (I.upper i - I.lower i) := by
rw [Measure.toBoxAdditive_apply, coe_eq_pi, measureReal_def,
Real.volume_pi_Ioc_toReal I.lower_le_upper]
@[simp]
theorem volume_apply' (I : Box ι) :
((volume : Measure (ι → ℝ)) I).toReal = ∏ i, (I.upper i - I.lower i) := by
rw [coe_eq_pi, Real.volume_pi_Ioc_toReal I.lower_le_upper]
theorem volume_face_mul {n} (i : Fin (n + 1)) (I : Box (Fin (n + 1))) :
(∏ j, ((I.face i).upper j - (I.face i).lower j)) * (I.upper i - I.lower i) =
∏ j, (I.upper j - I.lower j) := by
simp only [face_lower, face_upper, (· ∘ ·), Fin.prod_univ_succAbove _ i, mul_comm]
end Box
namespace BoxAdditiveMap
variable [Fintype ι]
/-- Box-additive map sending each box `I` to the continuous linear endomorphism
`x ↦ (volume I).toReal • x`. -/
protected def volume {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] : ι →ᵇᵃ E →L[ℝ] E :=
(volume : Measure (ι → ℝ)).toBoxAdditive.toSMul
theorem volume_apply {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] (I : Box ι) (x : E) :
BoxAdditiveMap.volume I x = (∏ j, (I.upper j - I.lower j)) • x := by
rw [BoxAdditiveMap.volume, toSMul_apply]
exact congr_arg₂ (· • ·) I.volume_apply rfl
end BoxAdditiveMap
end BoxIntegral
| Mathlib/Analysis/BoxIntegral/Partition/Measure.lean | 149 | 152 | |
/-
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.Group.Units.Basic
import Mathlib.Algebra.GroupWithZero.Basic
import Mathlib.Data.Int.Basic
import Mathlib.Lean.Meta.CongrTheorems
import Mathlib.Tactic.Contrapose
import Mathlib.Tactic.Nontriviality
import Mathlib.Tactic.Spread
import Mathlib.Util.AssertExists
/-!
# Lemmas about units in a `MonoidWithZero` or a `GroupWithZero`.
We also define `Ring.inverse`, a globally defined function on any ring
(in fact any `MonoidWithZero`), which inverts units and sends non-units to zero.
-/
-- Guard against import creep
assert_not_exists DenselyOrdered Equiv Subtype.restrict Multiplicative
variable {α M₀ G₀ : Type*}
variable [MonoidWithZero M₀]
namespace Units
/-- An element of the unit group of a nonzero monoid with zero represented as an element
of the monoid is nonzero. -/
@[simp]
theorem ne_zero [Nontrivial M₀] (u : M₀ˣ) : (u : M₀) ≠ 0 :=
left_ne_zero_of_mul_eq_one u.mul_inv
-- We can't use `mul_eq_zero` + `Units.ne_zero` in the next two lemmas because we don't assume
-- `Nonzero M₀`.
@[simp]
theorem mul_left_eq_zero (u : M₀ˣ) {a : M₀} : a * u = 0 ↔ a = 0 :=
⟨fun h => by simpa using mul_eq_zero_of_left h ↑u⁻¹, fun h => mul_eq_zero_of_left h u⟩
@[simp]
theorem mul_right_eq_zero (u : M₀ˣ) {a : M₀} : ↑u * a = 0 ↔ a = 0 :=
⟨fun h => by simpa using mul_eq_zero_of_right (↑u⁻¹) h, mul_eq_zero_of_right (u : M₀)⟩
end Units
namespace IsUnit
theorem ne_zero [Nontrivial M₀] {a : M₀} (ha : IsUnit a) : a ≠ 0 :=
let ⟨u, hu⟩ := ha
hu ▸ u.ne_zero
theorem mul_right_eq_zero {a b : M₀} (ha : IsUnit a) : a * b = 0 ↔ b = 0 :=
let ⟨u, hu⟩ := ha
hu ▸ u.mul_right_eq_zero
theorem mul_left_eq_zero {a b : M₀} (hb : IsUnit b) : a * b = 0 ↔ a = 0 :=
let ⟨u, hu⟩ := hb
hu ▸ u.mul_left_eq_zero
end IsUnit
@[simp]
theorem isUnit_zero_iff : IsUnit (0 : M₀) ↔ (0 : M₀) = 1 :=
⟨fun ⟨⟨_, a, (a0 : 0 * a = 1), _⟩, rfl⟩ => by rwa [zero_mul] at a0, fun h =>
@isUnit_of_subsingleton _ _ (subsingleton_of_zero_eq_one h) 0⟩
theorem not_isUnit_zero [Nontrivial M₀] : ¬IsUnit (0 : M₀) :=
mt isUnit_zero_iff.1 zero_ne_one
namespace Ring
open Classical in
/-- Introduce a function `inverse` on a monoid with zero `M₀`, which sends `x` to `x⁻¹` if `x` is
invertible and to `0` otherwise. This definition is somewhat ad hoc, but one needs a fully (rather
than partially) defined inverse function for some purposes, including for calculus.
Note that while this is in the `Ring` namespace for brevity, it requires the weaker assumption
`MonoidWithZero M₀` instead of `Ring M₀`. -/
noncomputable def inverse : M₀ → M₀ := fun x => if h : IsUnit x then ((h.unit⁻¹ : M₀ˣ) : M₀) else 0
/-- By definition, if `x` is invertible then `inverse x = x⁻¹`. -/
@[simp]
theorem inverse_unit (u : M₀ˣ) : inverse (u : M₀) = (u⁻¹ : M₀ˣ) := by
rw [inverse, dif_pos u.isUnit, IsUnit.unit_of_val_units]
theorem inverse_of_isUnit {x : M₀} (h : IsUnit x) : inverse x = ((h.unit⁻¹ : M₀ˣ) : M₀) := dif_pos h
/-- By definition, if `x` is not invertible then `inverse x = 0`. -/
@[simp]
theorem inverse_non_unit (x : M₀) (h : ¬IsUnit x) : inverse x = 0 :=
dif_neg h
theorem mul_inverse_cancel (x : M₀) (h : IsUnit x) : x * inverse x = 1 := by
rcases h with ⟨u, rfl⟩
rw [inverse_unit, Units.mul_inv]
theorem inverse_mul_cancel (x : M₀) (h : IsUnit x) : inverse x * x = 1 := by
rcases h with ⟨u, rfl⟩
rw [inverse_unit, Units.inv_mul]
theorem mul_inverse_cancel_right (x y : M₀) (h : IsUnit x) : y * x * inverse x = y := by
rw [mul_assoc, mul_inverse_cancel x h, mul_one]
theorem inverse_mul_cancel_right (x y : M₀) (h : IsUnit x) : y * inverse x * x = y := by
rw [mul_assoc, inverse_mul_cancel x h, mul_one]
theorem mul_inverse_cancel_left (x y : M₀) (h : IsUnit x) : x * (inverse x * y) = y := by
rw [← mul_assoc, mul_inverse_cancel x h, one_mul]
theorem inverse_mul_cancel_left (x y : M₀) (h : IsUnit x) : inverse x * (x * y) = y := by
rw [← mul_assoc, inverse_mul_cancel x h, one_mul]
theorem inverse_mul_eq_iff_eq_mul (x y z : M₀) (h : IsUnit x) : inverse x * y = z ↔ y = x * z :=
⟨fun h1 => by rw [← h1, mul_inverse_cancel_left _ _ h],
fun h1 => by rw [h1, inverse_mul_cancel_left _ _ h]⟩
theorem eq_mul_inverse_iff_mul_eq (x y z : M₀) (h : IsUnit z) : x = y * inverse z ↔ x * z = y :=
⟨fun h1 => by rw [h1, inverse_mul_cancel_right _ _ h],
fun h1 => by rw [← h1, mul_inverse_cancel_right _ _ h]⟩
variable (M₀)
@[simp]
theorem inverse_one : inverse (1 : M₀) = 1 :=
inverse_unit 1
@[simp]
theorem inverse_zero : inverse (0 : M₀) = 0 := by
nontriviality
exact inverse_non_unit _ not_isUnit_zero
variable {M₀}
end Ring
theorem IsUnit.ringInverse {a : M₀} : IsUnit a → IsUnit (Ring.inverse a)
| ⟨u, hu⟩ => hu ▸ ⟨u⁻¹, (Ring.inverse_unit u).symm⟩
@[deprecated (since := "2025-04-22")] alias IsUnit.ring_inverse := IsUnit.ringInverse
@[deprecated (since := "2025-04-22")] protected alias Ring.IsUnit.ringInverse := IsUnit.ringInverse
@[simp]
theorem isUnit_ringInverse {a : M₀} : IsUnit (Ring.inverse a) ↔ IsUnit a :=
⟨fun h => by
cases subsingleton_or_nontrivial M₀
· convert h
· contrapose h
rw [Ring.inverse_non_unit _ h]
exact not_isUnit_zero
,
IsUnit.ringInverse⟩
@[deprecated (since := "2025-04-22")] alias isUnit_ring_inverse := isUnit_ringInverse
namespace Units
variable [GroupWithZero G₀]
/-- Embed a non-zero element of a `GroupWithZero` into the unit group.
By combining this function with the operations on units,
or the `/ₚ` operation, it is possible to write a division
as a partial function with three arguments. -/
def mk0 (a : G₀) (ha : a ≠ 0) : G₀ˣ :=
⟨a, a⁻¹, mul_inv_cancel₀ ha, inv_mul_cancel₀ ha⟩
@[simp]
theorem mk0_one (h := one_ne_zero) : mk0 (1 : G₀) h = 1 := by
ext
rfl
@[simp]
theorem val_mk0 {a : G₀} (h : a ≠ 0) : (mk0 a h : G₀) = a :=
rfl
@[simp]
theorem mk0_val (u : G₀ˣ) (h : (u : G₀) ≠ 0) : mk0 (u : G₀) h = u :=
Units.ext rfl
theorem mul_inv' (u : G₀ˣ) : u * (u : G₀)⁻¹ = 1 :=
mul_inv_cancel₀ u.ne_zero
theorem inv_mul' (u : G₀ˣ) : (u⁻¹ : G₀) * u = 1 :=
inv_mul_cancel₀ u.ne_zero
@[simp]
theorem mk0_inj {a b : G₀} (ha : a ≠ 0) (hb : b ≠ 0) : Units.mk0 a ha = Units.mk0 b hb ↔ a = b :=
⟨fun h => by injection h, fun h => Units.ext h⟩
/-- In a group with zero, an existential over a unit can be rewritten in terms of `Units.mk0`. -/
theorem exists0 {p : G₀ˣ → Prop} : (∃ g : G₀ˣ, p g) ↔ ∃ (g : G₀) (hg : g ≠ 0), p (Units.mk0 g hg) :=
⟨fun ⟨g, pg⟩ => ⟨g, g.ne_zero, (g.mk0_val g.ne_zero).symm ▸ pg⟩,
fun ⟨g, hg, pg⟩ => ⟨Units.mk0 g hg, pg⟩⟩
/-- An alternative version of `Units.exists0`. This one is useful if Lean cannot
figure out `p` when using `Units.exists0` from right to left. -/
theorem exists0' {p : ∀ g : G₀, g ≠ 0 → Prop} :
(∃ (g : G₀) (hg : g ≠ 0), p g hg) ↔ ∃ g : G₀ˣ, p g g.ne_zero :=
Iff.trans (by simp_rw [val_mk0]) exists0.symm
@[simp]
theorem exists_iff_ne_zero {p : G₀ → Prop} : (∃ u : G₀ˣ, p u) ↔ ∃ x ≠ 0, p x := by
simp [exists0]
theorem _root_.GroupWithZero.eq_zero_or_unit (a : G₀) : a = 0 ∨ ∃ u : G₀ˣ, a = u := by
simpa using em _
end Units
section GroupWithZero
variable [GroupWithZero G₀] {a b c : G₀} {m n : ℕ}
theorem IsUnit.mk0 (x : G₀) (hx : x ≠ 0) : IsUnit x :=
(Units.mk0 x hx).isUnit
@[simp]
theorem isUnit_iff_ne_zero : IsUnit a ↔ a ≠ 0 :=
(Units.exists_iff_ne_zero (p := (· = a))).trans (by simp)
alias ⟨_, Ne.isUnit⟩ := isUnit_iff_ne_zero
-- Porting note: can't add this attribute?
-- https://github.com/leanprover-community/mathlib4/issues/740
-- attribute [protected] Ne.is_unit
-- see Note [lower instance priority]
instance (priority := 10) GroupWithZero.noZeroDivisors : NoZeroDivisors G₀ :=
{ (‹_› : GroupWithZero G₀) with
eq_zero_or_eq_zero_of_mul_eq_zero := @fun a b h => by
contrapose! h
exact (Units.mk0 a h.1 * Units.mk0 b h.2).ne_zero }
-- Can't be put next to the other `mk0` lemmas because it depends on the
-- `NoZeroDivisors` instance, which depends on `mk0`.
@[simp]
theorem Units.mk0_mul (x y : G₀) (hxy) :
Units.mk0 (x * y) hxy =
Units.mk0 x (mul_ne_zero_iff.mp hxy).1 * Units.mk0 y (mul_ne_zero_iff.mp hxy).2 := by
ext; rfl
theorem div_ne_zero (ha : a ≠ 0) (hb : b ≠ 0) : a / b ≠ 0 := by
rw [div_eq_mul_inv]
exact mul_ne_zero ha (inv_ne_zero hb)
@[simp]
theorem div_eq_zero_iff : a / b = 0 ↔ a = 0 ∨ b = 0 := by simp [div_eq_mul_inv]
theorem div_ne_zero_iff : a / b ≠ 0 ↔ a ≠ 0 ∧ b ≠ 0 :=
div_eq_zero_iff.not.trans not_or
@[simp] lemma div_self (h : a ≠ 0) : a / a = 1 := h.isUnit.div_self
lemma eq_mul_inv_iff_mul_eq₀ (hc : c ≠ 0) : a = b * c⁻¹ ↔ a * c = b :=
hc.isUnit.eq_mul_inv_iff_mul_eq
lemma eq_inv_mul_iff_mul_eq₀ (hb : b ≠ 0) : a = b⁻¹ * c ↔ b * a = c :=
hb.isUnit.eq_inv_mul_iff_mul_eq
lemma inv_mul_eq_iff_eq_mul₀ (ha : a ≠ 0) : a⁻¹ * b = c ↔ b = a * c :=
ha.isUnit.inv_mul_eq_iff_eq_mul
lemma mul_inv_eq_iff_eq_mul₀ (hb : b ≠ 0) : a * b⁻¹ = c ↔ a = c * b :=
hb.isUnit.mul_inv_eq_iff_eq_mul
lemma mul_inv_eq_one₀ (hb : b ≠ 0) : a * b⁻¹ = 1 ↔ a = b := hb.isUnit.mul_inv_eq_one
lemma inv_mul_eq_one₀ (ha : a ≠ 0) : a⁻¹ * b = 1 ↔ a = b := ha.isUnit.inv_mul_eq_one
lemma mul_eq_one_iff_eq_inv₀ (hb : b ≠ 0) : a * b = 1 ↔ a = b⁻¹ := hb.isUnit.mul_eq_one_iff_eq_inv
lemma mul_eq_one_iff_inv_eq₀ (ha : a ≠ 0) : a * b = 1 ↔ a⁻¹ = b := ha.isUnit.mul_eq_one_iff_inv_eq
/-- A variant of `eq_mul_inv_iff_mul_eq₀` that moves the nonzero hypothesis to another variable. -/
lemma mul_eq_of_eq_mul_inv₀ (ha : a ≠ 0) (h : a = c * b⁻¹) : a * b = c := by
rwa [← eq_mul_inv_iff_mul_eq₀]; rintro rfl; simp [ha] at h
/-- A variant of `eq_inv_mul_iff_mul_eq₀` that moves the nonzero hypothesis to another variable. -/
lemma mul_eq_of_eq_inv_mul₀ (hb : b ≠ 0) (h : b = a⁻¹ * c) : a * b = c := by
rwa [← eq_inv_mul_iff_mul_eq₀]; rintro rfl; simp [hb] at h
/-- A variant of `inv_mul_eq_iff_eq_mul₀` that moves the nonzero hypothesis to another variable. -/
lemma eq_mul_of_inv_mul_eq₀ (hc : c ≠ 0) (h : b⁻¹ * a = c) : a = b * c := by
rwa [← inv_mul_eq_iff_eq_mul₀]; rintro rfl; simp [hc.symm] at h
/-- A variant of `mul_inv_eq_iff_eq_mul₀` that moves the nonzero hypothesis to another variable. -/
lemma eq_mul_of_mul_inv_eq₀ (hb : b ≠ 0) (h : a * c⁻¹ = b) : a = b * c := by
rwa [← mul_inv_eq_iff_eq_mul₀]; rintro rfl; simp [hb.symm] at h
@[simp] lemma div_mul_cancel₀ (a : G₀) (h : b ≠ 0) : a / b * b = a := h.isUnit.div_mul_cancel _
lemma mul_one_div_cancel (h : a ≠ 0) : a * (1 / a) = 1 := h.isUnit.mul_one_div_cancel
lemma one_div_mul_cancel (h : a ≠ 0) : 1 / a * a = 1 := h.isUnit.one_div_mul_cancel
lemma div_left_inj' (hc : c ≠ 0) : a / c = b / c ↔ a = b := hc.isUnit.div_left_inj
@[field_simps] lemma div_eq_iff (hb : b ≠ 0) : a / b = c ↔ a = c * b := hb.isUnit.div_eq_iff
@[field_simps] lemma eq_div_iff (hb : b ≠ 0) : c = a / b ↔ c * b = a := hb.isUnit.eq_div_iff
-- TODO: Swap RHS around
lemma div_eq_iff_mul_eq (hb : b ≠ 0) : a / b = c ↔ c * b = a := hb.isUnit.div_eq_iff.trans eq_comm
lemma eq_div_iff_mul_eq (hc : c ≠ 0) : a = b / c ↔ a * c = b := hc.isUnit.eq_div_iff
lemma div_eq_of_eq_mul (hb : b ≠ 0) : a = c * b → a / b = c := hb.isUnit.div_eq_of_eq_mul
lemma eq_div_of_mul_eq (hc : c ≠ 0) : a * c = b → a = b / c := hc.isUnit.eq_div_of_mul_eq
lemma div_eq_one_iff_eq (hb : b ≠ 0) : a / b = 1 ↔ a = b := hb.isUnit.div_eq_one_iff_eq
lemma div_mul_cancel_right₀ (hb : b ≠ 0) (a : G₀) : b / (a * b) = a⁻¹ :=
hb.isUnit.div_mul_cancel_right _
lemma mul_div_mul_right (a b : G₀) (hc : c ≠ 0) : a * c / (b * c) = a / b :=
hc.isUnit.mul_div_mul_right _ _
-- TODO: Duplicate of `mul_inv_cancel_right₀`
lemma mul_mul_div (a : G₀) (hb : b ≠ 0) : a = a * b * (1 / b) := (hb.isUnit.mul_mul_div _).symm
lemma div_div_div_cancel_right₀ (hc : c ≠ 0) (a b : G₀) : a / c / (b / c) = a / b := by
rw [div_div_eq_mul_div, div_mul_cancel₀ _ hc]
lemma div_mul_div_cancel₀ (hb : b ≠ 0) : a / b * (b / c) = a / c := by
rw [← mul_div_assoc, div_mul_cancel₀ _ hb]
lemma div_mul_cancel_of_imp (h : b = 0 → a = 0) : a / b * b = a := by
obtain rfl | hb := eq_or_ne b 0 <;> simp [*]
lemma mul_div_cancel_of_imp (h : b = 0 → a = 0) : a * b / b = a := by
obtain rfl | hb := eq_or_ne b 0 <;> simp [*]
@[simp] lemma divp_mk0 (a : G₀) (hb : b ≠ 0) : a /ₚ Units.mk0 b hb = a / b := divp_eq_div _ _
lemma pow_sub₀ (a : G₀) (ha : a ≠ 0) (h : n ≤ m) : a ^ (m - n) = a ^ m * (a ^ n)⁻¹ := by
have h1 : m - n + n = m := Nat.sub_add_cancel h
have h2 : a ^ (m - n) * a ^ n = a ^ m := by rw [← pow_add, h1]
simpa only [div_eq_mul_inv] using eq_div_of_mul_eq (pow_ne_zero _ ha) h2
lemma pow_sub_of_lt (a : G₀) (h : n < m) : a ^ (m - n) = a ^ m * (a ^ n)⁻¹ := by
obtain rfl | ha := eq_or_ne a 0
· rw [zero_pow (Nat.ne_of_gt <| Nat.sub_pos_of_lt h), zero_pow (by omega), zero_mul]
· exact pow_sub₀ _ ha <| Nat.le_of_lt h
lemma inv_pow_sub₀ (ha : a ≠ 0) (h : n ≤ m) : a⁻¹ ^ (m - n) = (a ^ m)⁻¹ * a ^ n := by
rw [pow_sub₀ _ (inv_ne_zero ha) h, inv_pow, inv_pow, inv_inv]
lemma inv_pow_sub_of_lt (a : G₀) (h : n < m) : a⁻¹ ^ (m - n) = (a ^ m)⁻¹ * a ^ n := by
rw [pow_sub_of_lt a⁻¹ h, inv_pow, inv_pow, inv_inv]
lemma zpow_sub₀ (ha : a ≠ 0) (m n : ℤ) : a ^ (m - n) = a ^ m / a ^ n := by
rw [Int.sub_eq_add_neg, zpow_add₀ ha, zpow_neg, div_eq_mul_inv]
lemma zpow_natCast_sub_natCast₀ (ha : a ≠ 0) (m n : ℕ) : a ^ (m - n : ℤ) = a ^ m / a ^ n := by
simpa using zpow_sub₀ ha m n
lemma zpow_natCast_sub_one₀ (ha : a ≠ 0) (n : ℕ) : a ^ (n - 1 : ℤ) = a ^ n / a := by
simpa using zpow_sub₀ ha n 1
lemma zpow_one_sub_natCast₀ (ha : a ≠ 0) (n : ℕ) : a ^ (1 - n : ℤ) = a / a ^ n := by
simpa using zpow_sub₀ ha 1 n
lemma zpow_ne_zero {a : G₀} : ∀ n : ℤ, a ≠ 0 → a ^ n ≠ 0
| (_ : ℕ) => by rw [zpow_natCast]; exact pow_ne_zero _
| .negSucc n => fun ha ↦ by rw [zpow_negSucc]; exact inv_ne_zero (pow_ne_zero _ ha)
lemma eq_zero_of_zpow_eq_zero {n : ℤ} : a ^ n = 0 → a = 0 := not_imp_not.1 (zpow_ne_zero _)
lemma zpow_eq_zero_iff {n : ℤ} (hn : n ≠ 0) : a ^ n = 0 ↔ a = 0 :=
⟨eq_zero_of_zpow_eq_zero, fun ha => ha.symm ▸ zero_zpow _ hn⟩
lemma zpow_ne_zero_iff {n : ℤ} (hn : n ≠ 0) : a ^ n ≠ 0 ↔ a ≠ 0 := (zpow_eq_zero_iff hn).ne
lemma zpow_neg_mul_zpow_self (n : ℤ) (ha : a ≠ 0) : a ^ (-n) * a ^ n = 1 := by
rw [zpow_neg]; exact inv_mul_cancel₀ (zpow_ne_zero n ha)
theorem Ring.inverse_eq_inv (a : G₀) : Ring.inverse a = a⁻¹ := by
obtain rfl | ha := eq_or_ne a 0
· simp
· exact Ring.inverse_unit (Units.mk0 a ha)
@[simp]
theorem Ring.inverse_eq_inv' : (Ring.inverse : G₀ → G₀) = Inv.inv :=
funext Ring.inverse_eq_inv
end GroupWithZero
section CommGroupWithZero
-- comm
variable [CommGroupWithZero G₀] {a b c d : G₀}
-- see Note [lower instance priority]
instance (priority := 10) CommGroupWithZero.toCancelCommMonoidWithZero :
CancelCommMonoidWithZero G₀ :=
{ GroupWithZero.toCancelMonoidWithZero,
CommGroupWithZero.toCommMonoidWithZero with }
-- See note [lower instance priority]
instance (priority := 100) CommGroupWithZero.toDivisionCommMonoid :
DivisionCommMonoid G₀ where
__ := ‹CommGroupWithZero G₀›
__ := GroupWithZero.toDivisionMonoid
lemma div_mul_cancel_left₀ (ha : a ≠ 0) (b : G₀) : a / (a * b) = b⁻¹ :=
ha.isUnit.div_mul_cancel_left _
lemma mul_div_cancel_left_of_imp (h : a = 0 → b = 0) : a * b / a = b := by
rw [mul_comm, mul_div_cancel_of_imp h]
lemma mul_div_cancel_of_imp' (h : b = 0 → a = 0) : b * (a / b) = a := by
rw [mul_comm, div_mul_cancel_of_imp h]
lemma mul_div_cancel₀ (a : G₀) (hb : b ≠ 0) : b * (a / b) = a :=
hb.isUnit.mul_div_cancel _
lemma mul_div_mul_left (a b : G₀) (hc : c ≠ 0) : c * a / (c * b) = a / b :=
hc.isUnit.mul_div_mul_left _ _
lemma mul_eq_mul_of_div_eq_div (a c : G₀) (hb : b ≠ 0) (hd : d ≠ 0)
(h : a / b = c / d) : a * d = c * b := by
rw [← mul_one a, ← div_self hb, ← mul_comm_div, h, div_mul_eq_mul_div, div_mul_cancel₀ _ hd]
@[field_simps] lemma div_eq_div_iff (hb : b ≠ 0) (hd : d ≠ 0) : a / b = c / d ↔ a * d = c * b :=
hb.isUnit.div_eq_div_iff hd.isUnit
/-- The `CommGroupWithZero` version of `div_eq_div_iff_div_eq_div`. -/
lemma div_eq_div_iff_div_eq_div' (hb : b ≠ 0) (hc : c ≠ 0) : a / b = c / d ↔ a / c = b / d := by
conv_lhs => rw [← mul_left_inj' hb, div_mul_cancel₀ _ hb]
conv_rhs => rw [← mul_left_inj' hc, div_mul_cancel₀ _ hc]
rw [mul_comm _ c, div_mul_eq_mul_div, mul_div_assoc]
@[simp] lemma div_div_cancel₀ (ha : a ≠ 0) : a / (a / b) = b := ha.isUnit.div_div_cancel
@[deprecated (since := "2024-11-25")] alias div_div_cancel' := div_div_cancel₀
lemma div_div_cancel_left' (ha : a ≠ 0) : a / b / a = b⁻¹ := ha.isUnit.div_div_cancel_left
lemma div_helper (b : G₀) (h : a ≠ 0) : 1 / (a * b) * a = 1 / b := by
rw [div_mul_eq_mul_div, one_mul, div_mul_cancel_left₀ h, one_div]
lemma div_div_div_cancel_left' (a b : G₀) (hc : c ≠ 0) : c / a / (c / b) = b / a := by
rw [div_div_div_eq, mul_comm, mul_div_mul_right _ _ hc]
@[simp] lemma div_mul_div_cancel₀' (ha : a ≠ 0) (b c : G₀) : a / b * (c / a) = c / b := by
rw [mul_comm, div_mul_div_cancel₀ ha]
end CommGroupWithZero
section NoncomputableDefs
variable {M : Type*} [Nontrivial M]
open Classical in
/-- Constructs a `GroupWithZero` structure on a `MonoidWithZero`
consisting only of units and 0. -/
noncomputable def groupWithZeroOfIsUnitOrEqZero [hM : MonoidWithZero M]
(h : ∀ a : M, IsUnit a ∨ a = 0) : GroupWithZero M :=
{ hM with
inv := fun a => if h0 : a = 0 then 0 else ↑((h a).resolve_right h0).unit⁻¹,
inv_zero := dif_pos rfl,
mul_inv_cancel := fun a h0 => by
change (a * if h0 : a = 0 then 0 else ↑((h a).resolve_right h0).unit⁻¹) = 1
rw [dif_neg h0, Units.mul_inv_eq_iff_eq_mul, one_mul, IsUnit.unit_spec],
exists_pair_ne := Nontrivial.exists_pair_ne }
/-- Constructs a `CommGroupWithZero` structure on a `CommMonoidWithZero`
consisting only of units and 0. -/
noncomputable def commGroupWithZeroOfIsUnitOrEqZero [hM : CommMonoidWithZero M]
(h : ∀ a : M, IsUnit a ∨ a = 0) : CommGroupWithZero M :=
{ groupWithZeroOfIsUnitOrEqZero h, hM with }
end NoncomputableDefs
| Mathlib/Algebra/GroupWithZero/Units/Basic.lean | 549 | 550 | |
/-
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.Group.Nat.Even
import Mathlib.Data.Nat.Cast.Basic
import Mathlib.Data.Nat.Cast.Commute
import Mathlib.Data.Set.Operations
import Mathlib.Logic.Function.Iterate
/-!
# Even and odd elements in rings
This file defines odd elements and proves some general facts about even and odd elements of rings.
As opposed to `Even`, `Odd` does not have a multiplicative counterpart.
## TODO
Try to generalize `Even` lemmas further. For example, there are still a few lemmas whose `Semiring`
assumptions I (DT) am not convinced are necessary. If that turns out to be true, they could be moved
to `Mathlib.Algebra.Group.Even`.
## See also
`Mathlib.Algebra.Group.Even` for the definition of even elements.
-/
assert_not_exists DenselyOrdered OrderedRing
open MulOpposite
variable {F α β : Type*}
section Monoid
variable [Monoid α] [HasDistribNeg α] {n : ℕ} {a : α}
@[simp] lemma Even.neg_pow : Even n → ∀ a : α, (-a) ^ n = a ^ n := by
rintro ⟨c, rfl⟩ a
simp_rw [← two_mul, pow_mul, neg_sq]
lemma Even.neg_one_pow (h : Even n) : (-1 : α) ^ n = 1 := by rw [h.neg_pow, one_pow]
end Monoid
section DivisionMonoid
variable [DivisionMonoid α] [HasDistribNeg α] {a : α} {n : ℤ}
lemma Even.neg_zpow : Even n → ∀ a : α, (-a) ^ n = a ^ n := by
rintro ⟨c, rfl⟩ a; simp_rw [← Int.two_mul, zpow_mul, zpow_two, neg_mul_neg]
lemma Even.neg_one_zpow (h : Even n) : (-1 : α) ^ n = 1 := by rw [h.neg_zpow, one_zpow]
end DivisionMonoid
@[simp] lemma IsSquare.zero [MulZeroClass α] : IsSquare (0 : α) := ⟨0, (mul_zero _).symm⟩
section Semiring
variable [Semiring α] [Semiring β] {a b : α} {m n : ℕ}
lemma even_iff_exists_two_mul : Even a ↔ ∃ b, a = 2 * b := by simp [even_iff_exists_two_nsmul]
lemma even_iff_two_dvd : Even a ↔ 2 ∣ a := by simp [Even, Dvd.dvd, two_mul]
alias ⟨Even.two_dvd, _⟩ := even_iff_two_dvd
lemma Even.trans_dvd (ha : Even a) (hab : a ∣ b) : Even b :=
even_iff_two_dvd.2 <| ha.two_dvd.trans hab
lemma Dvd.dvd.even (hab : a ∣ b) (ha : Even a) : Even b := ha.trans_dvd hab
@[simp] lemma range_two_mul (α) [NonAssocSemiring α] :
Set.range (fun x : α ↦ 2 * x) = {a | Even a} := by
ext x
simp [eq_comm, two_mul, Even]
@[simp] lemma even_two : Even (2 : α) := ⟨1, by rw [one_add_one_eq_two]⟩
@[simp] lemma Even.mul_left (ha : Even a) (b) : Even (b * a) := ha.map (AddMonoidHom.mulLeft _)
@[simp] lemma Even.mul_right (ha : Even a) (b) : Even (a * b) := ha.map (AddMonoidHom.mulRight _)
lemma even_two_mul (a : α) : Even (2 * a) := ⟨a, two_mul _⟩
lemma Even.pow_of_ne_zero (ha : Even a) : ∀ {n : ℕ}, n ≠ 0 → Even (a ^ n)
| n + 1, _ => by rw [pow_succ]; exact ha.mul_left _
/-- An element `a` of a semiring is odd if there exists `k` such `a = 2*k + 1`. -/
def Odd (a : α) : Prop := ∃ k, a = 2 * k + 1
lemma odd_iff_exists_bit1 : Odd a ↔ ∃ b, a = 2 * b + 1 := exists_congr fun b ↦ by rw [two_mul]
alias ⟨Odd.exists_bit1, _⟩ := odd_iff_exists_bit1
@[simp] lemma range_two_mul_add_one (α : Type*) [Semiring α] :
Set.range (fun x : α ↦ 2 * x + 1) = {a | Odd a} := by ext x; simp [Odd, eq_comm]
lemma Even.add_odd : Even a → Odd b → Odd (a + b) := by
rintro ⟨a, rfl⟩ ⟨b, rfl⟩; exact ⟨a + b, by rw [mul_add, ← two_mul, add_assoc]⟩
lemma Even.odd_add (ha : Even a) (hb : Odd b) : Odd (b + a) := add_comm a b ▸ ha.add_odd hb
lemma Odd.add_even (ha : Odd a) (hb : Even b) : Odd (a + b) := add_comm a b ▸ hb.add_odd ha
lemma Odd.add_odd : Odd a → Odd b → Even (a + b) := by
rintro ⟨a, rfl⟩ ⟨b, rfl⟩
refine ⟨a + b + 1, ?_⟩
rw [two_mul, two_mul]
ac_rfl
@[simp] lemma odd_one : Odd (1 : α) :=
⟨0, (zero_add _).symm.trans (congr_arg (· + (1 : α)) (mul_zero _).symm)⟩
@[simp] lemma Even.add_one (h : Even a) : Odd (a + 1) := h.add_odd odd_one
@[simp] lemma Even.one_add (h : Even a) : Odd (1 + a) := h.odd_add odd_one
@[simp] lemma Odd.add_one (h : Odd a) : Even (a + 1) := h.add_odd odd_one
@[simp] lemma Odd.one_add (h : Odd a) : Even (1 + a) := odd_one.add_odd h
lemma odd_two_mul_add_one (a : α) : Odd (2 * a + 1) := ⟨_, rfl⟩
@[simp] lemma odd_add_self_one' : Odd (a + (a + 1)) := by simp [← add_assoc]
@[simp] lemma odd_add_one_self : Odd (a + 1 + a) := by simp [add_comm _ a]
@[simp] lemma odd_add_one_self' : Odd (a + (1 + a)) := by simp [add_comm 1 a]
lemma Odd.map [FunLike F α β] [RingHomClass F α β] (f : F) : Odd a → Odd (f a) := by
rintro ⟨a, rfl⟩; exact ⟨f a, by simp [two_mul]⟩
lemma Odd.natCast {R : Type*} [Semiring R] {n : ℕ} (hn : Odd n) : Odd (n : R) :=
hn.map <| Nat.castRingHom R
@[simp] lemma Odd.mul : Odd a → Odd b → Odd (a * b) := by
rintro ⟨a, rfl⟩ ⟨b, rfl⟩
refine ⟨2 * a * b + b + a, ?_⟩
rw [mul_add, add_mul, mul_one, ← add_assoc, one_mul, mul_assoc, ← mul_add, ← mul_add, ← mul_assoc,
← Nat.cast_two, ← Nat.cast_comm]
lemma Odd.pow (ha : Odd a) : ∀ {n : ℕ}, Odd (a ^ n)
| 0 => by
rw [pow_zero]
exact odd_one
| n + 1 => by rw [pow_succ]; exact ha.pow.mul ha
lemma Odd.pow_add_pow_eq_zero [IsCancelAdd α] (hn : Odd n) (hab : a + b = 0) :
a ^ n + b ^ n = 0 := by
obtain ⟨k, rfl⟩ := hn
induction k with | zero => simpa | succ k ih => ?_
have : a ^ 2 = b ^ 2 := add_right_cancel <|
calc
a ^ 2 + a * b = 0 := by rw [sq, ← mul_add, hab, mul_zero]
_ = b ^ 2 + a * b := by rw [sq, ← add_mul, add_comm, hab, zero_mul]
refine add_right_cancel (b := b ^ (2 * k + 1) * a ^ 2) ?_
calc
_ = (a ^ (2 * k + 1) + b ^ (2 * k + 1)) * a ^ 2 + b ^ (2 * k + 3) := by
rw [add_mul, ← pow_add, add_right_comm]; rfl
_ = _ := by rw [ih, zero_mul, zero_add, zero_add, this, ← pow_add]
end Semiring
section Monoid
variable [Monoid α] [HasDistribNeg α] {n : ℕ}
lemma Odd.neg_pow : Odd n → ∀ a : α, (-a) ^ n = -a ^ n := by
rintro ⟨c, rfl⟩ a; simp_rw [pow_add, pow_mul, neg_sq, pow_one, mul_neg]
@[simp] lemma Odd.neg_one_pow (h : Odd n) : (-1 : α) ^ n = -1 := by rw [h.neg_pow, one_pow]
end Monoid
section Ring
variable [Ring α] {a b : α} {n : ℕ}
lemma even_neg_two : Even (-2 : α) := by simp only [even_neg, even_two]
lemma Odd.neg (hp : Odd a) : Odd (-a) := by
obtain ⟨k, hk⟩ := hp
use -(k + 1)
rw [mul_neg, mul_add, neg_add, add_assoc, two_mul (1 : α), neg_add, neg_add_cancel_right,
← neg_add, hk]
@[simp] lemma odd_neg : Odd (-a) ↔ Odd a := ⟨fun h ↦ neg_neg a ▸ h.neg, Odd.neg⟩
lemma odd_neg_one : Odd (-1 : α) := by simp
lemma Odd.sub_even (ha : Odd a) (hb : Even b) : Odd (a - b) := by
rw [sub_eq_add_neg]; exact ha.add_even hb.neg
lemma Even.sub_odd (ha : Even a) (hb : Odd b) : Odd (a - b) := by
rw [sub_eq_add_neg]; exact ha.add_odd hb.neg
lemma Odd.sub_odd (ha : Odd a) (hb : Odd b) : Even (a - b) := by
rw [sub_eq_add_neg]; exact ha.add_odd hb.neg
end Ring
namespace Nat
variable {m n : ℕ}
lemma odd_iff : Odd n ↔ n % 2 = 1 :=
⟨fun ⟨m, hm⟩ ↦ by omega, fun h ↦ ⟨n / 2, (mod_add_div n 2).symm.trans (by rw [h, add_comm])⟩⟩
instance : DecidablePred (Odd : ℕ → Prop) := fun _ ↦ decidable_of_iff _ odd_iff.symm
lemma not_odd_iff : ¬Odd n ↔ n % 2 = 0 := by rw [odd_iff, mod_two_not_eq_one]
@[simp] lemma not_odd_iff_even : ¬Odd n ↔ Even n := by rw [not_odd_iff, even_iff]
@[simp] lemma not_even_iff_odd : ¬Even n ↔ Odd n := by rw [not_even_iff, odd_iff]
@[simp] lemma not_odd_zero : ¬Odd 0 := not_odd_iff.mpr rfl
lemma _root_.Odd.not_two_dvd_nat (h : Odd n) : ¬(2 ∣ n) := by
rwa [← even_iff_two_dvd, not_even_iff_odd]
lemma even_xor_odd (n : ℕ) : Xor' (Even n) (Odd n) := by
simp [Xor', ← not_even_iff_odd, Decidable.em (Even n)]
lemma even_or_odd (n : ℕ) : Even n ∨ Odd n := (even_xor_odd n).or
lemma even_or_odd' (n : ℕ) : ∃ k, n = 2 * k ∨ n = 2 * k + 1 := by
simpa only [← two_mul, exists_or, Odd, Even] using even_or_odd n
lemma even_xor_odd' (n : ℕ) : ∃ k, Xor' (n = 2 * k) (n = 2 * k + 1) := by
obtain ⟨k, rfl⟩ | ⟨k, rfl⟩ := even_or_odd n <;> use k
· simpa only [← two_mul, eq_self_iff_true, xor_true] using (succ_ne_self (2 * k)).symm
· simpa only [xor_true, xor_comm] using (succ_ne_self _)
lemma odd_add_one {n : ℕ} : Odd (n + 1) ↔ ¬ Odd n := by
rw [← not_even_iff_odd, Nat.even_add_one, not_even_iff_odd]
lemma mod_two_add_add_odd_mod_two (m : ℕ) {n : ℕ} (hn : Odd n) : m % 2 + (m + n) % 2 = 1 :=
((even_or_odd m).elim fun hm ↦ by rw [even_iff.1 hm, odd_iff.1 (hm.add_odd hn)]) fun hm ↦ by
rw [odd_iff.1 hm, even_iff.1 (hm.add_odd hn)]
@[simp] lemma mod_two_add_succ_mod_two (m : ℕ) : m % 2 + (m + 1) % 2 = 1 :=
mod_two_add_add_odd_mod_two m odd_one
@[simp] lemma succ_mod_two_add_mod_two (m : ℕ) : (m + 1) % 2 + m % 2 = 1 := by
rw [add_comm, mod_two_add_succ_mod_two]
lemma even_add' : Even (m + n) ↔ (Odd m ↔ Odd n) := by
rw [even_add, ← not_odd_iff_even, ← not_odd_iff_even, not_iff_not]
@[simp] lemma not_even_bit1 (n : ℕ) : ¬Even (2 * n + 1) := by simp [parity_simps]
lemma not_even_two_mul_add_one (n : ℕ) : ¬ Even (2 * n + 1) :=
not_even_iff_odd.2 <| odd_two_mul_add_one n
lemma even_sub' (h : n ≤ m) : Even (m - n) ↔ (Odd m ↔ Odd n) := by
rw [even_sub h, ← not_odd_iff_even, ← not_odd_iff_even, not_iff_not]
lemma Odd.sub_odd (hm : Odd m) (hn : Odd n) : Even (m - n) :=
(le_total n m).elim (fun h ↦ by simp only [even_sub' h, *]) fun h ↦ by
simp only [Nat.sub_eq_zero_iff_le.2 h, Even.zero]
alias _root_.Odd.tsub_odd := Nat.Odd.sub_odd
lemma odd_mul : Odd (m * n) ↔ Odd m ∧ Odd n := by simp [not_or, even_mul, ← not_even_iff_odd]
lemma Odd.of_mul_left (h : Odd (m * n)) : Odd m :=
(odd_mul.mp h).1
lemma Odd.of_mul_right (h : Odd (m * n)) : Odd n :=
(odd_mul.mp h).2
lemma even_div : Even (m / n) ↔ m % (2 * n) / n = 0 := by
rw [even_iff_two_dvd, dvd_iff_mod_eq_zero, ← Nat.mod_mul_right_div_self, mul_comm]
@[parity_simps] lemma odd_add : Odd (m + n) ↔ (Odd m ↔ Even n) := by
rw [← not_even_iff_odd, even_add, not_iff, ← not_even_iff_odd]
lemma odd_add' : Odd (m + n) ↔ (Odd n ↔ Even m) := by rw [add_comm, odd_add]
lemma ne_of_odd_add (h : Odd (m + n)) : m ≠ n := by rintro rfl; simp [← not_even_iff_odd] at h
@[parity_simps] lemma odd_sub (h : n ≤ m) : Odd (m - n) ↔ (Odd m ↔ Even n) := by
rw [← not_even_iff_odd, even_sub h, not_iff, ← not_even_iff_odd]
lemma Odd.sub_even (h : n ≤ m) (hm : Odd m) (hn : Even n) : Odd (m - n) :=
(odd_sub h).mpr <| iff_of_true hm hn
lemma odd_sub' (h : n ≤ m) : Odd (m - n) ↔ (Odd n ↔ Even m) := by
rw [← not_even_iff_odd, even_sub h, not_iff, not_iff_comm, ← not_even_iff_odd]
lemma Even.sub_odd (h : n ≤ m) (hm : Even m) (hn : Odd n) : Odd (m - n) :=
(odd_sub' h).mpr <| iff_of_true hn hm
|
lemma two_mul_div_two_add_one_of_odd (h : Odd n) : 2 * (n / 2) + 1 = n := by
rw [← odd_iff.mp h, div_add_mod]
| Mathlib/Algebra/Ring/Parity.lean | 285 | 288 |
/-
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
-/
import Mathlib.Data.List.Basic
/-!
# Double universal quantification on a list
This file provides an API for `List.Forall₂` (definition in `Data.List.Defs`).
`Forall₂ R l₁ l₂` means that `l₁` and `l₂` have the same length, and whenever `a` is the nth element
of `l₁`, and `b` is the nth element of `l₂`, then `R a b` is satisfied.
-/
open Nat Function
namespace List
variable {α β γ δ : Type*} {R S : α → β → Prop} {P : γ → δ → Prop} {Rₐ : α → α → Prop}
open Relator
mk_iff_of_inductive_prop List.Forall₂ List.forall₂_iff
theorem Forall₂.imp (H : ∀ a b, R a b → S a b) {l₁ l₂} (h : Forall₂ R l₁ l₂) : Forall₂ S l₁ l₂ := by
induction h <;> constructor <;> solve_by_elim
theorem Forall₂.mp {Q : α → β → Prop} (h : ∀ a b, Q a b → R a b → S a b) :
∀ {l₁ l₂}, Forall₂ Q l₁ l₂ → Forall₂ R l₁ l₂ → Forall₂ S l₁ l₂
| [], [], Forall₂.nil, Forall₂.nil => Forall₂.nil
| a :: _, b :: _, Forall₂.cons hr hrs, Forall₂.cons hq hqs =>
Forall₂.cons (h a b hr hq) (Forall₂.mp h hrs hqs)
theorem Forall₂.flip : ∀ {a b}, Forall₂ (flip R) b a → Forall₂ R a b
| _, _, Forall₂.nil => Forall₂.nil
| _ :: _, _ :: _, Forall₂.cons h₁ h₂ => Forall₂.cons h₁ h₂.flip
@[simp]
theorem forall₂_same : ∀ {l : List α}, Forall₂ Rₐ l l ↔ ∀ x ∈ l, Rₐ x x
| [] => by simp
| a :: l => by simp [@forall₂_same l]
theorem forall₂_refl [IsRefl α Rₐ] (l : List α) : Forall₂ Rₐ l l :=
forall₂_same.2 fun _ _ => refl _
@[simp]
theorem forall₂_eq_eq_eq : Forall₂ ((· = ·) : α → α → Prop) = Eq := by
funext a b; apply propext
constructor
· intro h
induction h
· rfl
simp only [*]
· rintro rfl
exact forall₂_refl _
@[simp]
theorem forall₂_nil_left_iff {l} : Forall₂ R nil l ↔ l = nil :=
⟨fun H => by cases H; rfl, by rintro rfl; exact Forall₂.nil⟩
@[simp]
theorem forall₂_nil_right_iff {l} : Forall₂ R l nil ↔ l = nil :=
⟨fun H => by cases H; rfl, by rintro rfl; exact Forall₂.nil⟩
theorem forall₂_cons_left_iff {a l u} :
Forall₂ R (a :: l) u ↔ ∃ b u', R a b ∧ Forall₂ R l u' ∧ u = b :: u' :=
Iff.intro
(fun h =>
match u, h with
| b :: u', Forall₂.cons h₁ h₂ => ⟨b, u', h₁, h₂, rfl⟩)
fun h =>
match u, h with
| _, ⟨_, _, h₁, h₂, rfl⟩ => Forall₂.cons h₁ h₂
theorem forall₂_cons_right_iff {b l u} :
Forall₂ R u (b :: l) ↔ ∃ a u', R a b ∧ Forall₂ R u' l ∧ u = a :: u' :=
Iff.intro
(fun h =>
match u, h with
| b :: u', Forall₂.cons h₁ h₂ => ⟨b, u', h₁, h₂, rfl⟩)
fun h =>
match u, h with
| _, ⟨_, _, h₁, h₂, rfl⟩ => Forall₂.cons h₁ h₂
theorem forall₂_and_left {p : α → Prop} :
∀ l u, Forall₂ (fun a b => p a ∧ R a b) l u ↔ (∀ a ∈ l, p a) ∧ Forall₂ R l u
| [], u => by
simp only [forall₂_nil_left_iff, forall_prop_of_false not_mem_nil, imp_true_iff, true_and]
| a :: l, u => by
simp only [forall₂_and_left l, forall₂_cons_left_iff, forall_mem_cons, and_assoc,
@and_comm _ (p a), @and_left_comm _ (p a), exists_and_left]
simp only [and_comm, and_assoc, and_left_comm, ← exists_and_right]
@[simp]
theorem forall₂_map_left_iff {f : γ → α} :
∀ {l u}, Forall₂ R (map f l) u ↔ Forall₂ (fun c b => R (f c) b) l u
| [], _ => by simp only [map, forall₂_nil_left_iff]
| a :: l, _ => by simp only [map, forall₂_cons_left_iff, forall₂_map_left_iff]
@[simp]
theorem forall₂_map_right_iff {f : γ → β} :
∀ {l u}, Forall₂ R l (map f u) ↔ Forall₂ (fun a c => R a (f c)) l u
| _, [] => by simp only [map, forall₂_nil_right_iff]
| _, b :: u => by simp only [map, forall₂_cons_right_iff, forall₂_map_right_iff]
theorem left_unique_forall₂' (hr : LeftUnique R) : ∀ {a b c}, Forall₂ R a c → Forall₂ R b c → a = b
| _, _, _, Forall₂.nil, Forall₂.nil => rfl
| _, _, _, Forall₂.cons ha₀ h₀, Forall₂.cons ha₁ h₁ =>
hr ha₀ ha₁ ▸ left_unique_forall₂' hr h₀ h₁ ▸ rfl
theorem _root_.Relator.LeftUnique.forall₂ (hr : LeftUnique R) : LeftUnique (Forall₂ R) :=
@left_unique_forall₂' _ _ _ hr
| theorem right_unique_forall₂' (hr : RightUnique R) :
∀ {a b c}, Forall₂ R a b → Forall₂ R a c → b = c
| _, _, _, Forall₂.nil, Forall₂.nil => rfl
| _, _, _, Forall₂.cons ha₀ h₀, Forall₂.cons ha₁ h₁ =>
| Mathlib/Data/List/Forall2.lean | 116 | 119 |
/-
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, Kim Morrison
-/
import Mathlib.Algebra.Algebra.Equiv
import Mathlib.Algebra.Algebra.NonUnitalHom
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Algebra.MonoidAlgebra.MapDomain
import Mathlib.Data.Finsupp.SMul
import Mathlib.LinearAlgebra.Finsupp.SumProd
/-!
# Monoid algebras
-/
noncomputable section
open Finset
open Finsupp hiding single mapDomain
universe u₁ u₂ u₃ u₄
variable (k : Type u₁) (G : Type u₂) (H : Type*) {R : Type*}
/-! ### Multiplicative monoids -/
namespace MonoidAlgebra
variable {k G}
/-! #### Non-unital, non-associative algebra structure -/
section NonUnitalNonAssocAlgebra
variable (k) [Semiring k] [DistribSMul R k] [Mul G]
variable {A : Type u₃} [NonUnitalNonAssocSemiring A]
/-- A non_unital `k`-algebra homomorphism from `MonoidAlgebra k G` is uniquely defined by its
values on the functions `single a 1`. -/
theorem nonUnitalAlgHom_ext [DistribMulAction k A] {φ₁ φ₂ : MonoidAlgebra k G →ₙₐ[k] A}
(h : ∀ x, φ₁ (single x 1) = φ₂ (single x 1)) : φ₁ = φ₂ :=
NonUnitalAlgHom.to_distribMulActionHom_injective <|
Finsupp.distribMulActionHom_ext' fun a => DistribMulActionHom.ext_ring (h a)
/-- See note [partially-applied ext lemmas]. -/
@[ext high]
theorem nonUnitalAlgHom_ext' [DistribMulAction k A] {φ₁ φ₂ : MonoidAlgebra k G →ₙₐ[k] A}
(h : φ₁.toMulHom.comp (ofMagma k G) = φ₂.toMulHom.comp (ofMagma k G)) : φ₁ = φ₂ :=
nonUnitalAlgHom_ext k <| DFunLike.congr_fun h
/-- The functor `G ↦ MonoidAlgebra k G`, from the category of magmas to the category of non-unital,
non-associative algebras over `k` is adjoint to the forgetful functor in the other direction. -/
@[simps apply_apply symm_apply]
def liftMagma [Module k A] [IsScalarTower k A A] [SMulCommClass k A A] :
(G →ₙ* A) ≃ (MonoidAlgebra k G →ₙₐ[k] A) where
toFun f :=
{ liftAddHom fun x => (smulAddHom k A).flip (f x) with
toFun := fun a => a.sum fun m t => t • f m
map_smul' := fun t' a => by
rw [Finsupp.smul_sum, sum_smul_index']
· simp_rw [smul_assoc, MonoidHom.id_apply]
· intro m
exact zero_smul k (f m)
map_mul' := fun a₁ a₂ => by
let g : G → k → A := fun m t => t • f m
have h₁ : ∀ m, g m 0 = 0 := by
intro m
exact zero_smul k (f m)
have h₂ : ∀ (m) (t₁ t₂ : k), g m (t₁ + t₂) = g m t₁ + g m t₂ := by
intros
rw [← add_smul]
-- Porting note: `reducible` cannot be `local` so proof gets long.
simp_rw [Finsupp.mul_sum, Finsupp.sum_mul, smul_mul_smul_comm, ← f.map_mul, mul_def,
sum_comm a₂ a₁]
rw [sum_sum_index h₁ h₂]; congr; ext
rw [sum_sum_index h₁ h₂]; congr; ext
rw [sum_single_index (h₁ _)] }
invFun F := F.toMulHom.comp (ofMagma k G)
left_inv f := by
ext m
simp only [NonUnitalAlgHom.coe_mk, ofMagma_apply, NonUnitalAlgHom.toMulHom_eq_coe,
sum_single_index, Function.comp_apply, one_smul, zero_smul, MulHom.coe_comp,
NonUnitalAlgHom.coe_to_mulHom]
right_inv F := by
ext m
simp only [NonUnitalAlgHom.coe_mk, ofMagma_apply, NonUnitalAlgHom.toMulHom_eq_coe,
sum_single_index, Function.comp_apply, one_smul, zero_smul, MulHom.coe_comp,
NonUnitalAlgHom.coe_to_mulHom]
end NonUnitalNonAssocAlgebra
/-! #### Algebra structure -/
section Algebra
/-- The instance `Algebra k (MonoidAlgebra A G)` whenever we have `Algebra k A`.
In particular this provides the instance `Algebra k (MonoidAlgebra k G)`.
-/
instance algebra {A : Type*} [CommSemiring k] [Semiring A] [Algebra k A] [Monoid G] :
Algebra k (MonoidAlgebra A G) where
algebraMap := singleOneRingHom.comp (algebraMap k A)
smul_def' := fun r a => by
ext
rw [Finsupp.coe_smul]
simp [single_one_mul_apply, Algebra.smul_def, Pi.smul_apply]
commutes' := fun r f => by
refine Finsupp.ext fun _ => ?_
simp [single_one_mul_apply, mul_single_one_apply, Algebra.commutes]
/-- `Finsupp.single 1` as an `AlgHom` -/
@[simps! apply]
def singleOneAlgHom {A : Type*} [CommSemiring k] [Semiring A] [Algebra k A] [Monoid G] :
A →ₐ[k] MonoidAlgebra A G :=
{ singleOneRingHom with
commutes' := fun r => by
ext
simp
rfl }
@[simp]
theorem coe_algebraMap {A : Type*} [CommSemiring k] [Semiring A] [Algebra k A] [Monoid G] :
⇑(algebraMap k (MonoidAlgebra A G)) = single 1 ∘ algebraMap k A :=
rfl
theorem single_eq_algebraMap_mul_of [CommSemiring k] [Monoid G] (a : G) (b : k) :
single a b = algebraMap k (MonoidAlgebra k G) b * of k G a := by simp
theorem single_algebraMap_eq_algebraMap_mul_of {A : Type*} [CommSemiring k] [Semiring A]
[Algebra k A] [Monoid G] (a : G) (b : k) :
single a (algebraMap k A b) = algebraMap k (MonoidAlgebra A G) b * of A G a := by simp
instance isLocalHom_singleOneAlgHom
{A : Type*} [CommSemiring k] [Semiring A] [Algebra k A] [Monoid G] :
IsLocalHom (singleOneAlgHom : A →ₐ[k] MonoidAlgebra A G) where
map_nonunit := isLocalHom_singleOneRingHom.map_nonunit
instance isLocalHom_algebraMap
{A : Type*} [CommSemiring k] [Semiring A] [Algebra k A] [Monoid G]
[IsLocalHom (algebraMap k A)] :
IsLocalHom (algebraMap k (MonoidAlgebra A G)) where
map_nonunit _ hx := .of_map _ _ <| isLocalHom_singleOneAlgHom (k := k).map_nonunit _ hx
end Algebra
section lift
variable [CommSemiring k] [Monoid G] [Monoid H]
variable {A : Type u₃} [Semiring A] [Algebra k A] {B : Type*} [Semiring B] [Algebra k B]
/-- `liftNCRingHom` as an `AlgHom`, for when `f` is an `AlgHom` -/
def liftNCAlgHom (f : A →ₐ[k] B) (g : G →* B) (h_comm : ∀ x y, Commute (f x) (g y)) :
MonoidAlgebra A G →ₐ[k] B :=
{ liftNCRingHom (f : A →+* B) g h_comm with
commutes' := by simp [liftNCRingHom] }
/-- A `k`-algebra homomorphism from `MonoidAlgebra k G` is uniquely defined by its
values on the functions `single a 1`. -/
theorem algHom_ext ⦃φ₁ φ₂ : MonoidAlgebra k G →ₐ[k] A⦄
(h : ∀ x, φ₁ (single x 1) = φ₂ (single x 1)) : φ₁ = φ₂ :=
AlgHom.toLinearMap_injective <| Finsupp.lhom_ext' fun a => LinearMap.ext_ring (h a)
-- The priority must be `high`.
/-- See note [partially-applied ext lemmas]. -/
@[ext high]
theorem algHom_ext' ⦃φ₁ φ₂ : MonoidAlgebra k G →ₐ[k] A⦄
(h :
(φ₁ : MonoidAlgebra k G →* A).comp (of k G) = (φ₂ : MonoidAlgebra k G →* A).comp (of k G)) :
φ₁ = φ₂ :=
algHom_ext <| DFunLike.congr_fun h
variable (k G A)
/-- Any monoid homomorphism `G →* A` can be lifted to an algebra homomorphism
`MonoidAlgebra k G →ₐ[k] A`. -/
def lift : (G →* A) ≃ (MonoidAlgebra k G →ₐ[k] A) where
invFun f := (f : MonoidAlgebra k G →* A).comp (of k G)
toFun F := liftNCAlgHom (Algebra.ofId k A) F fun _ _ => Algebra.commutes _ _
left_inv f := by
ext
simp [liftNCAlgHom, liftNCRingHom]
right_inv F := by
ext
simp [liftNCAlgHom, liftNCRingHom]
variable {k G H A}
theorem lift_apply' (F : G →* A) (f : MonoidAlgebra k G) :
lift k G A F f = f.sum fun a b => algebraMap k A b * F a :=
rfl
theorem lift_apply (F : G →* A) (f : MonoidAlgebra k G) :
lift k G A F f = f.sum fun a b => b • F a := by simp only [lift_apply', Algebra.smul_def]
theorem lift_def (F : G →* A) : ⇑(lift k G A F) = liftNC ((algebraMap k A : k →+* A) : k →+ A) F :=
rfl
@[simp]
theorem lift_symm_apply (F : MonoidAlgebra k G →ₐ[k] A) (x : G) :
(lift k G A).symm F x = F (single x 1) :=
rfl
@[simp]
theorem lift_single (F : G →* A) (a b) : lift k G A F (single a b) = b • F a := by
rw [lift_def, liftNC_single, Algebra.smul_def, AddMonoidHom.coe_coe]
theorem lift_of (F : G →* A) (x) : lift k G A F (of k G x) = F x := by simp
theorem lift_unique' (F : MonoidAlgebra k G →ₐ[k] A) :
F = lift k G A ((F : MonoidAlgebra k G →* A).comp (of k G)) :=
((lift k G A).apply_symm_apply F).symm
/-- Decomposition of a `k`-algebra homomorphism from `MonoidAlgebra k G` by
its values on `F (single a 1)`. -/
theorem lift_unique (F : MonoidAlgebra k G →ₐ[k] A) (f : MonoidAlgebra k G) :
F f = f.sum fun a b => b • F (single a 1) := by
conv_lhs =>
rw [lift_unique' F]
simp [lift_apply]
/-- If `f : G → H` is a homomorphism between two magmas, then
`Finsupp.mapDomain f` is a non-unital algebra homomorphism between their magma algebras. -/
@[simps apply]
def mapDomainNonUnitalAlgHom (k A : Type*) [CommSemiring k] [Semiring A] [Algebra k A]
{G H F : Type*} [Mul G] [Mul H] [FunLike F G H] [MulHomClass F G H] (f : F) :
MonoidAlgebra A G →ₙₐ[k] MonoidAlgebra A H :=
{ (Finsupp.mapDomain.addMonoidHom f : MonoidAlgebra A G →+ MonoidAlgebra A H) with
map_mul' := fun x y => mapDomain_mul f x y
map_smul' := fun r x => mapDomain_smul r x }
variable (A) in
theorem mapDomain_algebraMap {F : Type*} [FunLike F G H] [MonoidHomClass F G H] (f : F) (r : k) :
mapDomain f (algebraMap k (MonoidAlgebra A G) r) = algebraMap k (MonoidAlgebra A H) r := by
simp only [coe_algebraMap, mapDomain_single, map_one, (· ∘ ·)]
/-- If `f : G → H` is a multiplicative homomorphism between two monoids, then
`Finsupp.mapDomain f` is an algebra homomorphism between their monoid algebras. -/
@[simps!]
def mapDomainAlgHom (k A : Type*) [CommSemiring k] [Semiring A] [Algebra k A] {H F : Type*}
[Monoid H] [FunLike F G H] [MonoidHomClass F G H] (f : F) :
MonoidAlgebra A G →ₐ[k] MonoidAlgebra A H :=
{ mapDomainRingHom A f with commutes' := mapDomain_algebraMap A f }
@[simp]
lemma mapDomainAlgHom_id (k A) [CommSemiring k] [Semiring A] [Algebra k A] :
mapDomainAlgHom k A (MonoidHom.id G) = AlgHom.id k (MonoidAlgebra A G) := by
ext; simp [MonoidHom.id, ← Function.id_def]
@[simp]
lemma mapDomainAlgHom_comp (k A) {G₁ G₂ G₃} [CommSemiring k] [Semiring A] [Algebra k A]
[Monoid G₁] [Monoid G₂] [Monoid G₃] (f : G₁ →* G₂) (g : G₂ →* G₃) :
mapDomainAlgHom k A (g.comp f) = (mapDomainAlgHom k A g).comp (mapDomainAlgHom k A f) := by
ext; simp [mapDomain_comp]
variable (k A)
/-- If `e : G ≃* H` is a multiplicative equivalence between two monoids, then
`MonoidAlgebra.domCongr e` is an algebra equivalence between their monoid algebras. -/
def domCongr (e : G ≃* H) : MonoidAlgebra A G ≃ₐ[k] MonoidAlgebra A H :=
AlgEquiv.ofLinearEquiv
(Finsupp.domLCongr e : (G →₀ A) ≃ₗ[k] (H →₀ A))
((equivMapDomain_eq_mapDomain _ _).trans <| mapDomain_one e)
(fun f g => (equivMapDomain_eq_mapDomain _ _).trans <| (mapDomain_mul e f g).trans <|
congr_arg₂ _ (equivMapDomain_eq_mapDomain _ _).symm (equivMapDomain_eq_mapDomain _ _).symm)
theorem domCongr_toAlgHom (e : G ≃* H) : (domCongr k A e).toAlgHom = mapDomainAlgHom k A e :=
AlgHom.ext fun _ => equivMapDomain_eq_mapDomain _ _
@[simp] theorem domCongr_apply (e : G ≃* H) (f : MonoidAlgebra A G) (h : H) :
domCongr k A e f h = f (e.symm h) :=
rfl
@[simp] theorem domCongr_support (e : G ≃* H) (f : MonoidAlgebra A G) :
(domCongr k A e f).support = f.support.map e :=
rfl
@[simp] theorem domCongr_single (e : G ≃* H) (g : G) (a : A) :
domCongr k A e (single g a) = single (e g) a :=
Finsupp.equivMapDomain_single _ _ _
@[simp] theorem domCongr_refl : domCongr k A (MulEquiv.refl G) = AlgEquiv.refl :=
AlgEquiv.ext fun _ => Finsupp.ext fun _ => rfl
@[simp] theorem domCongr_symm (e : G ≃* H) : (domCongr k A e).symm = domCongr k A e.symm := rfl
end lift
section
variable (k)
/-- When `V` is a `k[G]`-module, multiplication by a group element `g` is a `k`-linear map. -/
def GroupSMul.linearMap [Monoid G] [CommSemiring k] (V : Type u₃) [AddCommMonoid V] [Module k V]
[Module (MonoidAlgebra k G) V] [IsScalarTower k (MonoidAlgebra k G) V] (g : G) : V →ₗ[k] V where
toFun v := single g (1 : k) • v
map_add' x y := smul_add (single g (1 : k)) x y
map_smul' _c _x := smul_algebra_smul_comm _ _ _
@[simp]
theorem GroupSMul.linearMap_apply [Monoid G] [CommSemiring k] (V : Type u₃) [AddCommMonoid V]
[Module k V] [Module (MonoidAlgebra k G) V] [IsScalarTower k (MonoidAlgebra k G) V] (g : G)
(v : V) : (GroupSMul.linearMap k V g) v = single g (1 : k) • v :=
rfl
section
variable {k}
variable [Monoid G] [CommSemiring k] {V : Type u₃} {W : Type u₄} [AddCommMonoid V] [Module k V]
[Module (MonoidAlgebra k G) V] [IsScalarTower k (MonoidAlgebra k G) V] [AddCommMonoid W]
[Module k W] [Module (MonoidAlgebra k G) W] [IsScalarTower k (MonoidAlgebra k G) W]
(f : V →ₗ[k] W)
/-- Build a `k[G]`-linear map from a `k`-linear map and evidence that it is `G`-equivariant. -/
def equivariantOfLinearOfComm
(h : ∀ (g : G) (v : V), f (single g (1 : k) • v) = single g (1 : k) • f v) :
V →ₗ[MonoidAlgebra k G] W where
toFun := f
map_add' v v' := by simp
map_smul' c v := by
refine Finsupp.induction c ?_ ?_
· simp
· intro g r c' _nm _nz w
dsimp at *
simp only [add_smul, f.map_add, w, add_left_inj, single_eq_algebraMap_mul_of, ← smul_smul]
rw [algebraMap_smul (MonoidAlgebra k G) r, algebraMap_smul (MonoidAlgebra k G) r, f.map_smul,
of_apply, h g v]
variable (h : ∀ (g : G) (v : V), f (single g (1 : k) • v) = single g (1 : k) • f v)
@[simp]
theorem equivariantOfLinearOfComm_apply (v : V) : (equivariantOfLinearOfComm f h) v = f v :=
rfl
end
end
end MonoidAlgebra
namespace AddMonoidAlgebra
variable {k G H}
/-! #### Non-unital, non-associative algebra structure -/
section NonUnitalNonAssocAlgebra
variable (k) [Semiring k] [DistribSMul R k] [Add G]
variable {A : Type u₃} [NonUnitalNonAssocSemiring A]
/-- A non_unital `k`-algebra homomorphism from `k[G]` is uniquely defined by its
values on the functions `single a 1`. -/
theorem nonUnitalAlgHom_ext [DistribMulAction k A] {φ₁ φ₂ : k[G] →ₙₐ[k] A}
(h : ∀ x, φ₁ (single x 1) = φ₂ (single x 1)) : φ₁ = φ₂ :=
@MonoidAlgebra.nonUnitalAlgHom_ext k (Multiplicative G) _ _ _ _ _ φ₁ φ₂ h
/-- See note [partially-applied ext lemmas]. -/
@[ext high]
theorem nonUnitalAlgHom_ext' [DistribMulAction k A] {φ₁ φ₂ : k[G] →ₙₐ[k] A}
(h : φ₁.toMulHom.comp (ofMagma k G) = φ₂.toMulHom.comp (ofMagma k G)) : φ₁ = φ₂ :=
@MonoidAlgebra.nonUnitalAlgHom_ext' k (Multiplicative G) _ _ _ _ _ φ₁ φ₂ h
/-- The functor `G ↦ k[G]`, from the category of magmas to the category of
non-unital, non-associative algebras over `k` is adjoint to the forgetful functor in the other
direction. -/
@[simps apply_apply symm_apply]
def liftMagma [Module k A] [IsScalarTower k A A] [SMulCommClass k A A] :
(Multiplicative G →ₙ* A) ≃ (k[G] →ₙₐ[k] A) :=
{ (MonoidAlgebra.liftMagma k : (Multiplicative G →ₙ* A) ≃ (_ →ₙₐ[k] A)) with
toFun := fun f =>
{ (MonoidAlgebra.liftMagma k f :) with
toFun := fun a => sum a fun m t => t • f (Multiplicative.ofAdd m) }
invFun := fun F => F.toMulHom.comp (ofMagma k G) }
end NonUnitalNonAssocAlgebra
/-! #### Algebra structure -/
section Algebra
/-- The instance `Algebra R k[G]` whenever we have `Algebra R k`.
In particular this provides the instance `Algebra k k[G]`.
-/
instance algebra [CommSemiring R] [Semiring k] [Algebra R k] [AddMonoid G] :
Algebra R k[G] where
algebraMap := singleZeroRingHom.comp (algebraMap R k)
smul_def' := fun r a => by
ext
rw [Finsupp.coe_smul]
simp [single_zero_mul_apply, Algebra.smul_def, Pi.smul_apply]
commutes' := fun r f => by
refine Finsupp.ext fun _ => ?_
simp [single_zero_mul_apply, mul_single_zero_apply, Algebra.commutes]
/-- `Finsupp.single 0` as an `AlgHom` -/
@[simps! apply]
def singleZeroAlgHom [CommSemiring R] [Semiring k] [Algebra R k] [AddMonoid G] : k →ₐ[R] k[G] :=
{ singleZeroRingHom with
commutes' := fun r => by
ext
simp
rfl }
@[simp]
theorem coe_algebraMap [CommSemiring R] [Semiring k] [Algebra R k] [AddMonoid G] :
(algebraMap R k[G] : R → k[G]) = single 0 ∘ algebraMap R k :=
rfl
instance isLocalHom_singleZeroAlgHom [CommSemiring R] [Semiring k] [Algebra R k] [AddMonoid G] :
IsLocalHom (singleZeroAlgHom : k →ₐ[R] k[G]) where
map_nonunit := isLocalHom_singleZeroRingHom.map_nonunit
instance isLocalHom_algebraMap [CommSemiring R] [Semiring k] [Algebra R k] [AddMonoid G]
[IsLocalHom (algebraMap R k)] :
IsLocalHom (algebraMap R k[G]) where
map_nonunit _ hx := .of_map _ _ <| isLocalHom_singleZeroAlgHom (R := R).map_nonunit _ hx
end Algebra
section lift
variable [CommSemiring k] [AddMonoid G]
variable {A : Type u₃} [Semiring A] [Algebra k A] {B : Type*} [Semiring B] [Algebra k B]
/-- `liftNCRingHom` as an `AlgHom`, for when `f` is an `AlgHom` -/
def liftNCAlgHom (f : A →ₐ[k] B) (g : Multiplicative G →* B) (h_comm : ∀ x y, Commute (f x) (g y)) :
A[G] →ₐ[k] B :=
{ liftNCRingHom (f : A →+* B) g h_comm with
commutes' := by simp [liftNCRingHom] }
/-- A `k`-algebra homomorphism from `k[G]` is uniquely defined by its
values on the functions `single a 1`. -/
theorem algHom_ext ⦃φ₁ φ₂ : k[G] →ₐ[k] A⦄
(h : ∀ x, φ₁ (single x 1) = φ₂ (single x 1)) : φ₁ = φ₂ :=
@MonoidAlgebra.algHom_ext k (Multiplicative G) _ _ _ _ _ _ _ h
/-- See note [partially-applied ext lemmas]. -/
@[ext high]
theorem algHom_ext' ⦃φ₁ φ₂ : k[G] →ₐ[k] A⦄
(h : (φ₁ : k[G] →* A).comp (of k G) = (φ₂ : k[G] →* A).comp (of k G)) :
φ₁ = φ₂ :=
algHom_ext <| DFunLike.congr_fun h
variable (k G A)
/-- Any monoid homomorphism `G →* A` can be lifted to an algebra homomorphism
`k[G] →ₐ[k] A`. -/
def lift : (Multiplicative G →* A) ≃ (k[G] →ₐ[k] A) :=
{ @MonoidAlgebra.lift k (Multiplicative G) _ _ A _ _ with
invFun := fun f => (f : k[G] →* A).comp (of k G)
toFun := fun F =>
{ @MonoidAlgebra.lift k (Multiplicative G) _ _ A _ _ F with
toFun := liftNCAlgHom (Algebra.ofId k A) F fun _ _ => Algebra.commutes _ _ } }
variable {k G A}
theorem lift_apply' (F : Multiplicative G →* A) (f : MonoidAlgebra k G) :
lift k G A F f = f.sum fun a b => algebraMap k A b * F (Multiplicative.ofAdd a) :=
rfl
theorem lift_apply (F : Multiplicative G →* A) (f : MonoidAlgebra k G) :
lift k G A F f = f.sum fun a b => b • F (Multiplicative.ofAdd a) := by
simp only [lift_apply', Algebra.smul_def]
theorem lift_def (F : Multiplicative G →* A) :
⇑(lift k G A F) = liftNC ((algebraMap k A : k →+* A) : k →+ A) F :=
rfl
@[simp]
theorem lift_symm_apply (F : k[G] →ₐ[k] A) (x : Multiplicative G) :
(lift k G A).symm F x = F (single x.toAdd 1) :=
rfl
theorem lift_of (F : Multiplicative G →* A) (x : Multiplicative G) :
lift k G A F (of k G x) = F x := MonoidAlgebra.lift_of F x
@[simp]
theorem lift_single (F : Multiplicative G →* A) (a b) :
lift k G A F (single a b) = b • F (Multiplicative.ofAdd a) :=
MonoidAlgebra.lift_single F (.ofAdd a) b
lemma lift_of' (F : Multiplicative G →* A) (x : G) :
lift k G A F (of' k G x) = F (Multiplicative.ofAdd x) :=
lift_of F x
theorem lift_unique' (F : k[G] →ₐ[k] A) :
F = lift k G A ((F : k[G] →* A).comp (of k G)) :=
((lift k G A).apply_symm_apply F).symm
/-- Decomposition of a `k`-algebra homomorphism from `MonoidAlgebra k G` by
its values on `F (single a 1)`. -/
theorem lift_unique (F : k[G] →ₐ[k] A) (f : MonoidAlgebra k G) :
F f = f.sum fun a b => b • F (single a 1) := by
conv_lhs =>
rw [lift_unique' F]
simp [lift_apply]
theorem algHom_ext_iff {φ₁ φ₂ : k[G] →ₐ[k] A} :
(∀ x, φ₁ (Finsupp.single x 1) = φ₂ (Finsupp.single x 1)) ↔ φ₁ = φ₂ :=
⟨fun h => algHom_ext h, by rintro rfl _; rfl⟩
end lift
theorem mapDomain_algebraMap (A : Type*) {H F : Type*} [CommSemiring k] [Semiring A] [Algebra k A]
[AddMonoid G] [AddMonoid H] [FunLike F G H] [AddMonoidHomClass F G H]
(f : F) (r : k) :
mapDomain f (algebraMap k A[G] r) = algebraMap k A[H] r := by
simp only [Function.comp_apply, mapDomain_single, AddMonoidAlgebra.coe_algebraMap, map_zero]
/-- If `f : G → H` is a homomorphism between two additive magmas, then `Finsupp.mapDomain f` is a
non-unital algebra homomorphism between their additive magma algebras. -/
@[simps apply]
def mapDomainNonUnitalAlgHom (k A : Type*) [CommSemiring k] [Semiring A] [Algebra k A]
{G H F : Type*} [Add G] [Add H] [FunLike F G H] [AddHomClass F G H] (f : F) :
A[G] →ₙₐ[k] A[H] :=
{ (Finsupp.mapDomain.addMonoidHom f : MonoidAlgebra A G →+ MonoidAlgebra A H) with
map_mul' := fun x y => mapDomain_mul f x y
map_smul' := fun r x => mapDomain_smul r x }
/-- If `f : G → H` is an additive homomorphism between two additive monoids, then
`Finsupp.mapDomain f` is an algebra homomorphism between their add monoid algebras. -/
@[simps!]
def mapDomainAlgHom (k A : Type*) [CommSemiring k] [Semiring A] [Algebra k A] [AddMonoid G]
{H F : Type*} [AddMonoid H] [FunLike F G H] [AddMonoidHomClass F G H] (f : F) :
A[G] →ₐ[k] A[H] :=
{ mapDomainRingHom A f with commutes' := mapDomain_algebraMap A f }
@[simp]
lemma mapDomainAlgHom_id (k A) [CommSemiring k] [Semiring A] [Algebra k A] [AddMonoid G] :
mapDomainAlgHom k A (AddMonoidHom.id G) = AlgHom.id k (AddMonoidAlgebra A G) := by
ext; simp [AddMonoidHom.id, ← Function.id_def]
@[simp]
lemma mapDomainAlgHom_comp (k A) {G₁ G₂ G₃} [CommSemiring k] [Semiring A] [Algebra k A]
[AddMonoid G₁] [AddMonoid G₂] [AddMonoid G₃] (f : G₁ →+ G₂) (g : G₂ →+ G₃) :
mapDomainAlgHom k A (g.comp f) = (mapDomainAlgHom k A g).comp (mapDomainAlgHom k A f) := by
ext; simp [mapDomain_comp]
variable (k A)
variable [CommSemiring k] [AddMonoid G] [AddMonoid H] [Semiring A] [Algebra k A]
/-- If `e : G ≃* H` is a multiplicative equivalence between two monoids, then
`AddMonoidAlgebra.domCongr e` is an algebra equivalence between their monoid algebras. -/
def domCongr (e : G ≃+ H) : A[G] ≃ₐ[k] A[H] :=
AlgEquiv.ofLinearEquiv
(Finsupp.domLCongr e : (G →₀ A) ≃ₗ[k] (H →₀ A))
((equivMapDomain_eq_mapDomain _ _).trans <| mapDomain_one e)
(fun f g => (equivMapDomain_eq_mapDomain _ _).trans <| (mapDomain_mul e f g).trans <|
congr_arg₂ _ (equivMapDomain_eq_mapDomain _ _).symm (equivMapDomain_eq_mapDomain _ _).symm)
theorem domCongr_toAlgHom (e : G ≃+ H) : (domCongr k A e).toAlgHom = mapDomainAlgHom k A e :=
AlgHom.ext fun _ => equivMapDomain_eq_mapDomain _ _
@[simp] theorem domCongr_apply (e : G ≃+ H) (f : MonoidAlgebra A G) (h : H) :
domCongr k A e f h = f (e.symm h) :=
rfl
@[simp] theorem domCongr_support (e : G ≃+ H) (f : MonoidAlgebra A G) :
(domCongr k A e f).support = f.support.map e :=
rfl
@[simp] theorem domCongr_single (e : G ≃+ H) (g : G) (a : A) :
domCongr k A e (single g a) = single (e g) a :=
Finsupp.equivMapDomain_single _ _ _
@[simp] theorem domCongr_refl : domCongr k A (AddEquiv.refl G) = AlgEquiv.refl :=
AlgEquiv.ext fun _ => Finsupp.ext fun _ => rfl
@[simp] theorem domCongr_symm (e : G ≃+ H) : (domCongr k A e).symm = domCongr k A e.symm := rfl
end AddMonoidAlgebra
variable [CommSemiring R]
/-- The algebra equivalence between `AddMonoidAlgebra` and `MonoidAlgebra` in terms of
`Multiplicative`. -/
def AddMonoidAlgebra.toMultiplicativeAlgEquiv [Semiring k] [Algebra R k] [AddMonoid G] :
AddMonoidAlgebra k G ≃ₐ[R] MonoidAlgebra k (Multiplicative G) :=
{ AddMonoidAlgebra.toMultiplicative k G with
commutes' := fun r => by simp [AddMonoidAlgebra.toMultiplicative] }
/-- The algebra equivalence between `MonoidAlgebra` and `AddMonoidAlgebra` in terms of
`Additive`. -/
def MonoidAlgebra.toAdditiveAlgEquiv [Semiring k] [Algebra R k] [Monoid G] :
MonoidAlgebra k G ≃ₐ[R] AddMonoidAlgebra k (Additive G) :=
{ MonoidAlgebra.toAdditive k G with commutes' := fun r => by simp [MonoidAlgebra.toAdditive] }
| Mathlib/Algebra/MonoidAlgebra/Basic.lean | 2,070 | 2,074 | |
/-
Copyright (c) 2018 Andreas Swerdlow. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andreas Swerdlow, Kexing Ying
-/
import Mathlib.Algebra.GroupWithZero.NonZeroDivisors
import Mathlib.LinearAlgebra.BilinearForm.Properties
/-!
# Bilinear form
This file defines orthogonal bilinear forms.
## Notations
Given any term `B` of type `BilinForm`, due to a coercion, can use
the notation `B x y` to refer to the function field, ie. `B x y = B.bilin x y`.
In this file we use the following type variables:
- `M`, `M'`, ... are modules over the commutative semiring `R`,
- `M₁`, `M₁'`, ... are modules over the commutative ring `R₁`,
- `V`, ... is a vector space over the field `K`.
## References
* <https://en.wikipedia.org/wiki/Bilinear_form>
## Tags
Bilinear form,
-/
open LinearMap (BilinForm)
universe u v w
variable {R : Type*} {M : Type*} [CommSemiring R] [AddCommMonoid M] [Module R M]
variable {R₁ : Type*} {M₁ : Type*} [CommRing R₁] [AddCommGroup M₁] [Module R₁ M₁]
variable {V : Type*} {K : Type*} [Field K] [AddCommGroup V] [Module K V]
variable {B : BilinForm R M} {B₁ : BilinForm R₁ M₁}
namespace LinearMap
namespace BilinForm
/-- The proposition that two elements of a bilinear form space are orthogonal. For orthogonality
of an indexed set of elements, use `BilinForm.iIsOrtho`. -/
def IsOrtho (B : BilinForm R M) (x y : M) : Prop :=
B x y = 0
theorem isOrtho_def {B : BilinForm R M} {x y : M} : B.IsOrtho x y ↔ B x y = 0 :=
Iff.rfl
theorem isOrtho_zero_left (x : M) : IsOrtho B (0 : M) x := LinearMap.isOrtho_zero_left B x
theorem isOrtho_zero_right (x : M) : IsOrtho B x (0 : M) :=
zero_right x
theorem ne_zero_of_not_isOrtho_self {B : BilinForm K V} (x : V) (hx₁ : ¬B.IsOrtho x x) : x ≠ 0 :=
fun hx₂ => hx₁ (hx₂.symm ▸ isOrtho_zero_left _)
theorem IsRefl.ortho_comm (H : B.IsRefl) {x y : M} : IsOrtho B x y ↔ IsOrtho B y x :=
⟨eq_zero H, eq_zero H⟩
theorem IsAlt.ortho_comm (H : B₁.IsAlt) {x y : M₁} : IsOrtho B₁ x y ↔ IsOrtho B₁ y x :=
LinearMap.IsAlt.ortho_comm H
theorem IsSymm.ortho_comm (H : B.IsSymm) {x y : M} : IsOrtho B x y ↔ IsOrtho B y x :=
LinearMap.IsSymm.ortho_comm H
/-- A set of vectors `v` is orthogonal with respect to some bilinear form `B` if and only
if for all `i ≠ j`, `B (v i) (v j) = 0`. For orthogonality between two elements, use
`BilinForm.IsOrtho` -/
def iIsOrtho {n : Type w} (B : BilinForm R M) (v : n → M) : Prop :=
B.IsOrthoᵢ v
theorem iIsOrtho_def {n : Type w} {B : BilinForm R M} {v : n → M} :
B.iIsOrtho v ↔ ∀ i j : n, i ≠ j → B (v i) (v j) = 0 :=
Iff.rfl
section
variable {R₄ M₄ : Type*} [CommRing R₄] [IsDomain R₄]
variable [AddCommGroup M₄] [Module R₄ M₄] {G : BilinForm R₄ M₄}
@[simp]
theorem isOrtho_smul_left {x y : M₄} {a : R₄} (ha : a ≠ 0) :
IsOrtho G (a • x) y ↔ IsOrtho G x y := by
dsimp only [IsOrtho]
rw [map_smul]
simp only [LinearMap.smul_apply, smul_eq_mul, mul_eq_zero, or_iff_right_iff_imp]
exact fun a ↦ (ha a).elim
@[simp]
theorem isOrtho_smul_right {x y : M₄} {a : R₄} (ha : a ≠ 0) :
IsOrtho G x (a • y) ↔ IsOrtho G x y := by
dsimp only [IsOrtho]
rw [map_smul]
simp only [smul_eq_mul, mul_eq_zero, or_iff_right_iff_imp]
exact fun a ↦ (ha a).elim
/-- A set of orthogonal vectors `v` with respect to some bilinear form `B` is linearly independent
if for all `i`, `B (v i) (v i) ≠ 0`. -/
theorem linearIndependent_of_iIsOrtho {n : Type w} {B : BilinForm K V} {v : n → V}
(hv₁ : B.iIsOrtho v) (hv₂ : ∀ i, ¬B.IsOrtho (v i) (v i)) : LinearIndependent K v := by
classical
rw [linearIndependent_iff']
intro s w hs i hi
have : B (s.sum fun i : n => w i • v i) (v i) = 0 := by rw [hs, zero_left]
have hsum : (s.sum fun j : n => w j * B (v j) (v i)) = w i * B (v i) (v i) := by
apply Finset.sum_eq_single_of_mem i hi
intro j _ hij
rw [iIsOrtho_def.1 hv₁ _ _ hij, mul_zero]
simp_rw [sum_left, smul_left, hsum] at this
exact eq_zero_of_ne_zero_of_mul_right_eq_zero (hv₂ i) this
end
section Orthogonal
/-- The orthogonal complement of a submodule `N` with respect to some bilinear form is the set of
elements `x` which are orthogonal to all elements of `N`; i.e., for all `y` in `N`, `B x y = 0`.
Note that for general (neither symmetric nor antisymmetric) bilinear forms this definition has a
chirality; in addition to this "left" orthogonal complement one could define a "right" orthogonal
complement for which, for all `y` in `N`, `B y x = 0`. This variant definition is not currently
provided in mathlib. -/
def orthogonal (B : BilinForm R M) (N : Submodule R M) : Submodule R M where
carrier := { m | ∀ n ∈ N, IsOrtho B n m }
zero_mem' x _ := isOrtho_zero_right x
add_mem' {x y} hx hy n hn := by
rw [IsOrtho, add_right, show B n x = 0 from hx n hn, show B n y = 0 from hy n hn, zero_add]
smul_mem' c x hx n hn := by
rw [IsOrtho, smul_right, show B n x = 0 from hx n hn, mul_zero]
variable {N L : Submodule R M}
@[simp]
theorem mem_orthogonal_iff {N : Submodule R M} {m : M} :
m ∈ B.orthogonal N ↔ ∀ n ∈ N, IsOrtho B n m :=
Iff.rfl
@[simp] lemma orthogonal_bot : B.orthogonal ⊥ = ⊤ := by ext; simp [IsOrtho]
theorem orthogonal_le (h : N ≤ L) : B.orthogonal L ≤ B.orthogonal N := fun _ hn l hl => hn l (h hl)
theorem le_orthogonal_orthogonal (b : B.IsRefl) : N ≤ B.orthogonal (B.orthogonal N) :=
fun n hn _ hm => b _ _ (hm n hn)
lemma orthogonal_top_eq_ker (hB : B.IsRefl) :
B.orthogonal ⊤ = LinearMap.ker B := by
ext; simp [LinearMap.BilinForm.IsOrtho, LinearMap.ext_iff, hB.eq_iff]
lemma orthogonal_top_eq_bot (hB : B.Nondegenerate) (hB₀ : B.IsRefl) :
B.orthogonal ⊤ = ⊥ :=
(Submodule.eq_bot_iff _).mpr fun _ hx ↦ hB _ fun y ↦ hB₀ _ _ <| hx y Submodule.mem_top
-- ↓ This lemma only applies in fields as we require `a * b = 0 → a = 0 ∨ b = 0`
theorem span_singleton_inf_orthogonal_eq_bot {B : BilinForm K V} {x : V} (hx : ¬B.IsOrtho x x) :
(K ∙ x) ⊓ B.orthogonal (K ∙ x) = ⊥ := by
rw [← Finset.coe_singleton]
refine eq_bot_iff.2 fun y h => ?_
obtain ⟨μ, -, rfl⟩ := Submodule.mem_span_finset.1 h.1
have := h.2 x ?_
· rw [Finset.sum_singleton] at this ⊢
suffices hμzero : μ x = 0 by rw [hμzero, zero_smul, Submodule.mem_bot]
change B x (μ x • x) = 0 at this
rw [smul_right] at this
exact eq_zero_of_ne_zero_of_mul_right_eq_zero hx this
· rw [Submodule.mem_span]
exact fun _ hp => hp <| Finset.mem_singleton_self _
-- ↓ This lemma only applies in fields since we use the `mul_eq_zero`
theorem orthogonal_span_singleton_eq_toLin_ker {B : BilinForm K V} (x : V) :
| B.orthogonal (K ∙ x) = LinearMap.ker (LinearMap.BilinForm.toLinHomAux₁ B x) := by
ext y
simp_rw [mem_orthogonal_iff, LinearMap.mem_ker, Submodule.mem_span_singleton]
constructor
· exact fun h => h x ⟨1, one_smul _ _⟩
· rintro h _ ⟨z, rfl⟩
rw [IsOrtho, smul_left, mul_eq_zero]
exact Or.intro_right _ h
theorem span_singleton_sup_orthogonal_eq_top {B : BilinForm K V} {x : V} (hx : ¬B.IsOrtho x x) :
(K ∙ x) ⊔ B.orthogonal (K ∙ x) = ⊤ := by
rw [orthogonal_span_singleton_eq_toLin_ker]
exact LinearMap.span_singleton_sup_ker_eq_top _ hx
| Mathlib/LinearAlgebra/BilinearForm/Orthogonal.lean | 176 | 188 |
/-
Copyright (c) 2021 Yury Kudryashov, Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Yaël Dillies
-/
import Mathlib.Topology.EMetricSpace.Defs
/-!
# Metric separation
This file defines a few notions of separations of sets in a metric space.
The first notion (`Metric.IsSeparated`) is quantitative and about a single set: A set `s` is
`ε`-separated if its elements are pairwise at distance at least `ε` from each other.
The second notion (`Metric.AreSeparated`) is qualitative and about two sets: Two sets `s` and `t`
are separated if the distance between `x ∈ s` and `y ∈ t` is bounded from below by a positive
constant.
-/
open EMetric Set
open scoped ENNReal
noncomputable section
namespace Metric
variable {X : Type*} [PseudoEMetricSpace X] {s t : Set X} {ε δ : ℝ≥0∞} {x : X}
/-!
### Metric-separated sets
In this section we define the predicate `Metric.IsSeparated` for `ε`-separated sets.
-/
/-- A set `s` is `ε`-separated if its elements are pairwise at distance at least `ε` from each
other. -/
def IsSeparated (ε : ℝ≥0∞) (s : Set X) : Prop := s.Pairwise (ε < edist · ·)
protected lemma IsSeparated.empty : IsSeparated ε (∅ : Set X) := pairwise_empty _
protected lemma IsSeparated.singleton : IsSeparated ε {x} := pairwise_singleton ..
@[simp] lemma IsSeparated.of_subsingleton (hs : s.Subsingleton) : IsSeparated ε s := hs.pairwise _
alias _root_.Set.Subsingleton.isSeparated := IsSeparated.of_subsingleton
nonrec lemma IsSeparated.anti (hεδ : ε ≤ δ) (hs : IsSeparated δ s) : IsSeparated ε s :=
hs.mono' fun _ _ ↦ hεδ.trans_lt
lemma IsSeparated.subset (hst : s ⊆ t) (hs : IsSeparated ε t) : IsSeparated ε s := hs.mono hst
lemma isSeparated_insert :
IsSeparated ε (insert x s) ↔ IsSeparated ε s ∧ ∀ y ∈ s, x ≠ y → ε < edist x y :=
pairwise_insert_of_symmetric fun _ _ ↦ by simp [edist_comm]
lemma isSeparated_insert_of_not_mem (hx : x ∉ s) :
IsSeparated ε (insert x s) ↔ IsSeparated ε s ∧ ∀ y ∈ s, ε < edist x y :=
pairwise_insert_of_symmetric_of_not_mem (fun _ _ ↦ by simp [edist_comm]) hx
protected lemma IsSeparated.insert (hs : IsSeparated ε s) (h : ∀ y ∈ s, x ≠ y → ε < edist x y) :
IsSeparated ε (insert x s) := isSeparated_insert.2 ⟨hs, h⟩
/-!
### Metric separated pairs of sets
In this section we define the predicate `Metric.AreSeparated`. We say that two sets in an
(extended) metric space are *metric separated* if the (extended) distance between `x ∈ s` and
`y ∈ t` is bounded from below by a positive constant.
This notion is useful, e.g., to define metric outer measures.
-/
/-- Two sets in an (extended) metric space are called *metric separated* if the (extended) distance
between `x ∈ s` and `y ∈ t` is bounded from below by a positive constant. -/
def AreSeparated (s t : Set X) := ∃ r, r ≠ 0 ∧ ∀ x ∈ s, ∀ y ∈ t, r ≤ edist x y
@[deprecated (since := "2025-01-21")] alias IsMetricSeparated := AreSeparated
|
namespace AreSeparated
@[symm]
theorem symm (h : AreSeparated s t) : AreSeparated t s :=
let ⟨r, r0, hr⟩ := h
⟨r, r0, fun y hy x hx => edist_comm x y ▸ hr x hx y hy⟩
| Mathlib/Topology/MetricSpace/MetricSeparated.lean | 78 | 85 |
/-
Copyright (c) 2019 Abhimanyu Pallavi Sudhir. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Abhimanyu Pallavi Sudhir
-/
import Mathlib.Order.Filter.FilterProduct
import Mathlib.Analysis.SpecificLimits.Basic
/-!
# Construction of the hyperreal numbers as an ultraproduct of real sequences.
-/
open Filter Germ Topology
/-- Hyperreal numbers on the ultrafilter extending the cofinite filter -/
def Hyperreal : Type :=
Germ (hyperfilter ℕ : Filter ℕ) ℝ deriving Inhabited
namespace Hyperreal
@[inherit_doc] notation "ℝ*" => Hyperreal
noncomputable instance : Field ℝ* :=
inferInstanceAs (Field (Germ _ _))
noncomputable instance : LinearOrder ℝ* :=
inferInstanceAs (LinearOrder (Germ _ _))
instance : IsStrictOrderedRing ℝ* :=
inferInstanceAs (IsStrictOrderedRing (Germ _ _))
/-- Natural embedding `ℝ → ℝ*`. -/
@[coe] def ofReal : ℝ → ℝ* := const
noncomputable instance : CoeTC ℝ ℝ* := ⟨ofReal⟩
@[simp, norm_cast]
theorem coe_eq_coe {x y : ℝ} : (x : ℝ*) = y ↔ x = y :=
Germ.const_inj
theorem coe_ne_coe {x y : ℝ} : (x : ℝ*) ≠ y ↔ x ≠ y :=
coe_eq_coe.not
@[simp, norm_cast]
theorem coe_eq_zero {x : ℝ} : (x : ℝ*) = 0 ↔ x = 0 :=
coe_eq_coe
@[simp, norm_cast]
theorem coe_eq_one {x : ℝ} : (x : ℝ*) = 1 ↔ x = 1 :=
coe_eq_coe
@[norm_cast]
theorem coe_ne_zero {x : ℝ} : (x : ℝ*) ≠ 0 ↔ x ≠ 0 :=
coe_ne_coe
@[norm_cast]
theorem coe_ne_one {x : ℝ} : (x : ℝ*) ≠ 1 ↔ x ≠ 1 :=
coe_ne_coe
@[simp, norm_cast]
theorem coe_one : ↑(1 : ℝ) = (1 : ℝ*) :=
rfl
@[simp, norm_cast]
theorem coe_zero : ↑(0 : ℝ) = (0 : ℝ*) :=
rfl
@[simp, norm_cast]
theorem coe_inv (x : ℝ) : ↑x⁻¹ = (x⁻¹ : ℝ*) :=
rfl
@[simp, norm_cast]
theorem coe_neg (x : ℝ) : ↑(-x) = (-x : ℝ*) :=
rfl
@[simp, norm_cast]
theorem coe_add (x y : ℝ) : ↑(x + y) = (x + y : ℝ*) :=
rfl
@[simp, norm_cast]
theorem coe_ofNat (n : ℕ) [n.AtLeastTwo] :
((ofNat(n) : ℝ) : ℝ*) = OfNat.ofNat n :=
rfl
@[simp, norm_cast]
theorem coe_mul (x y : ℝ) : ↑(x * y) = (x * y : ℝ*) :=
rfl
@[simp, norm_cast]
theorem coe_div (x y : ℝ) : ↑(x / y) = (x / y : ℝ*) :=
rfl
@[simp, norm_cast]
theorem coe_sub (x y : ℝ) : ↑(x - y) = (x - y : ℝ*) :=
rfl
@[simp, norm_cast]
theorem coe_le_coe {x y : ℝ} : (x : ℝ*) ≤ y ↔ x ≤ y :=
Germ.const_le_iff
@[simp, norm_cast]
theorem coe_lt_coe {x y : ℝ} : (x : ℝ*) < y ↔ x < y :=
Germ.const_lt_iff
@[simp, norm_cast]
theorem coe_nonneg {x : ℝ} : 0 ≤ (x : ℝ*) ↔ 0 ≤ x :=
coe_le_coe
@[simp, norm_cast]
theorem coe_pos {x : ℝ} : 0 < (x : ℝ*) ↔ 0 < x :=
coe_lt_coe
@[simp, norm_cast]
theorem coe_abs (x : ℝ) : ((|x| : ℝ) : ℝ*) = |↑x| :=
const_abs x
@[simp, norm_cast]
theorem coe_max (x y : ℝ) : ((max x y : ℝ) : ℝ*) = max ↑x ↑y :=
Germ.const_max _ _
@[simp, norm_cast]
theorem coe_min (x y : ℝ) : ((min x y : ℝ) : ℝ*) = min ↑x ↑y :=
Germ.const_min _ _
/-- Construct a hyperreal number from a sequence of real numbers. -/
def ofSeq (f : ℕ → ℝ) : ℝ* := (↑f : Germ (hyperfilter ℕ : Filter ℕ) ℝ)
theorem ofSeq_surjective : Function.Surjective ofSeq := Quot.exists_rep
theorem ofSeq_lt_ofSeq {f g : ℕ → ℝ} : ofSeq f < ofSeq g ↔ ∀ᶠ n in hyperfilter ℕ, f n < g n :=
Germ.coe_lt
/-- A sample infinitesimal hyperreal -/
noncomputable def epsilon : ℝ* :=
ofSeq fun n => n⁻¹
/-- A sample infinite hyperreal -/
noncomputable def omega : ℝ* := ofSeq Nat.cast
@[inherit_doc] scoped notation "ε" => Hyperreal.epsilon
@[inherit_doc] scoped notation "ω" => Hyperreal.omega
@[simp]
theorem inv_omega : ω⁻¹ = ε :=
rfl
@[simp]
theorem inv_epsilon : ε⁻¹ = ω :=
@inv_inv _ _ ω
theorem omega_pos : 0 < ω :=
Germ.coe_pos.2 <| Nat.hyperfilter_le_atTop <| (eventually_gt_atTop 0).mono fun _ ↦
Nat.cast_pos.2
theorem epsilon_pos : 0 < ε :=
inv_pos_of_pos omega_pos
theorem epsilon_ne_zero : ε ≠ 0 :=
epsilon_pos.ne'
theorem omega_ne_zero : ω ≠ 0 :=
omega_pos.ne'
theorem epsilon_mul_omega : ε * ω = 1 :=
@inv_mul_cancel₀ _ _ ω omega_ne_zero
theorem lt_of_tendsto_zero_of_pos {f : ℕ → ℝ} (hf : Tendsto f atTop (𝓝 0)) :
∀ {r : ℝ}, 0 < r → ofSeq f < (r : ℝ*) := fun hr ↦
ofSeq_lt_ofSeq.2 <| (hf.eventually <| gt_mem_nhds hr).filter_mono Nat.hyperfilter_le_atTop
theorem neg_lt_of_tendsto_zero_of_pos {f : ℕ → ℝ} (hf : Tendsto f atTop (𝓝 0)) :
∀ {r : ℝ}, 0 < r → (-r : ℝ*) < ofSeq f := fun hr =>
have hg := hf.neg
neg_lt_of_neg_lt (by rw [neg_zero] at hg; exact lt_of_tendsto_zero_of_pos hg hr)
theorem gt_of_tendsto_zero_of_neg {f : ℕ → ℝ} (hf : Tendsto f atTop (𝓝 0)) :
∀ {r : ℝ}, r < 0 → (r : ℝ*) < ofSeq f := fun {r} hr => by
rw [← neg_neg r, coe_neg]; exact neg_lt_of_tendsto_zero_of_pos hf (neg_pos.mpr hr)
theorem epsilon_lt_pos (x : ℝ) : 0 < x → ε < x :=
lt_of_tendsto_zero_of_pos tendsto_inverse_atTop_nhds_zero_nat
/-- Standard part predicate -/
def IsSt (x : ℝ*) (r : ℝ) :=
∀ δ : ℝ, 0 < δ → (r - δ : ℝ*) < x ∧ x < r + δ
open scoped Classical in
/-- Standard part function: like a "round" to ℝ instead of ℤ -/
noncomputable def st : ℝ* → ℝ := fun x => if h : ∃ r, IsSt x r then Classical.choose h else 0
/-- A hyperreal number is infinitesimal if its standard part is 0 -/
def Infinitesimal (x : ℝ*) :=
IsSt x 0
/-- A hyperreal number is positive infinite if it is larger than all real numbers -/
def InfinitePos (x : ℝ*) :=
∀ r : ℝ, ↑r < x
/-- A hyperreal number is negative infinite if it is smaller than all real numbers -/
def InfiniteNeg (x : ℝ*) :=
∀ r : ℝ, x < r
/-- A hyperreal number is infinite if it is infinite positive or infinite negative -/
def Infinite (x : ℝ*) :=
InfinitePos x ∨ InfiniteNeg x
/-!
### Some facts about `st`
-/
theorem isSt_ofSeq_iff_tendsto {f : ℕ → ℝ} {r : ℝ} :
IsSt (ofSeq f) r ↔ Tendsto f (hyperfilter ℕ) (𝓝 r) :=
Iff.trans (forall₂_congr fun _ _ ↦ (ofSeq_lt_ofSeq.and ofSeq_lt_ofSeq).trans eventually_and.symm)
(nhds_basis_Ioo_pos _).tendsto_right_iff.symm
theorem isSt_iff_tendsto {x : ℝ*} {r : ℝ} : IsSt x r ↔ x.Tendsto (𝓝 r) := by
rcases ofSeq_surjective x with ⟨f, rfl⟩
exact isSt_ofSeq_iff_tendsto
theorem isSt_of_tendsto {f : ℕ → ℝ} {r : ℝ} (hf : Tendsto f atTop (𝓝 r)) : IsSt (ofSeq f) r :=
isSt_ofSeq_iff_tendsto.2 <| hf.mono_left Nat.hyperfilter_le_atTop
protected theorem IsSt.lt {x y : ℝ*} {r s : ℝ} (hxr : IsSt x r) (hys : IsSt y s) (hrs : r < s) :
x < y := by
rcases ofSeq_surjective x with ⟨f, rfl⟩
rcases ofSeq_surjective y with ⟨g, rfl⟩
rw [isSt_ofSeq_iff_tendsto] at hxr hys
exact ofSeq_lt_ofSeq.2 <| hxr.eventually_lt hys hrs
theorem IsSt.unique {x : ℝ*} {r s : ℝ} (hr : IsSt x r) (hs : IsSt x s) : r = s := by
rcases ofSeq_surjective x with ⟨f, rfl⟩
rw [isSt_ofSeq_iff_tendsto] at hr hs
exact tendsto_nhds_unique hr hs
theorem IsSt.st_eq {x : ℝ*} {r : ℝ} (hxr : IsSt x r) : st x = r := by
have h : ∃ r, IsSt x r := ⟨r, hxr⟩
rw [st, dif_pos h]
exact (Classical.choose_spec h).unique hxr
theorem IsSt.not_infinite {x : ℝ*} {r : ℝ} (h : IsSt x r) : ¬Infinite x := fun hi ↦
hi.elim (fun hp ↦ lt_asymm (h 1 one_pos).2 (hp (r + 1))) fun hn ↦
lt_asymm (h 1 one_pos).1 (hn (r - 1))
theorem not_infinite_of_exists_st {x : ℝ*} : (∃ r : ℝ, IsSt x r) → ¬Infinite x := fun ⟨_r, hr⟩ =>
hr.not_infinite
theorem Infinite.st_eq {x : ℝ*} (hi : Infinite x) : st x = 0 :=
dif_neg fun ⟨_r, hr⟩ ↦ hr.not_infinite hi
theorem isSt_sSup {x : ℝ*} (hni : ¬Infinite x) : IsSt x (sSup { y : ℝ | (y : ℝ*) < x }) :=
let S : Set ℝ := { y : ℝ | (y : ℝ*) < x }
let R : ℝ := sSup S
let ⟨r₁, hr₁⟩ := not_forall.mp (not_or.mp hni).2
let ⟨r₂, hr₂⟩ := not_forall.mp (not_or.mp hni).1
have HR₁ : S.Nonempty :=
⟨r₁ - 1, lt_of_lt_of_le (coe_lt_coe.2 <| sub_one_lt _) (not_lt.mp hr₁)⟩
have HR₂ : BddAbove S :=
⟨r₂, fun _y hy => le_of_lt (coe_lt_coe.1 (lt_of_lt_of_le hy (not_lt.mp hr₂)))⟩
fun δ hδ =>
⟨lt_of_not_le fun c =>
have hc : ∀ y ∈ S, y ≤ R - δ := fun _y hy =>
coe_le_coe.1 <| le_of_lt <| lt_of_lt_of_le hy c
not_lt_of_le (csSup_le HR₁ hc) <| sub_lt_self R hδ,
lt_of_not_le fun c =>
have hc : ↑(R + δ / 2) < x :=
lt_of_lt_of_le (add_lt_add_left (coe_lt_coe.2 (half_lt_self hδ)) R) c
not_lt_of_le (le_csSup HR₂ hc) <| (lt_add_iff_pos_right _).mpr <| half_pos hδ⟩
theorem exists_st_of_not_infinite {x : ℝ*} (hni : ¬Infinite x) : ∃ r : ℝ, IsSt x r :=
⟨sSup { y : ℝ | (y : ℝ*) < x }, isSt_sSup hni⟩
theorem st_eq_sSup {x : ℝ*} : st x = sSup { y : ℝ | (y : ℝ*) < x } := by
rcases _root_.em (Infinite x) with (hx|hx)
· rw [hx.st_eq]
cases hx with
| inl hx =>
convert Real.sSup_univ.symm
exact Set.eq_univ_of_forall hx
| inr hx =>
convert Real.sSup_empty.symm
exact Set.eq_empty_of_forall_not_mem fun y hy ↦ hy.out.not_lt (hx _)
· exact (isSt_sSup hx).st_eq
theorem exists_st_iff_not_infinite {x : ℝ*} : (∃ r : ℝ, IsSt x r) ↔ ¬Infinite x :=
⟨not_infinite_of_exists_st, exists_st_of_not_infinite⟩
theorem infinite_iff_not_exists_st {x : ℝ*} : Infinite x ↔ ¬∃ r : ℝ, IsSt x r :=
iff_not_comm.mp exists_st_iff_not_infinite
theorem IsSt.isSt_st {x : ℝ*} {r : ℝ} (hxr : IsSt x r) : IsSt x (st x) := by
rwa [hxr.st_eq]
theorem isSt_st_of_exists_st {x : ℝ*} (hx : ∃ r : ℝ, IsSt x r) : IsSt x (st x) :=
let ⟨_r, hr⟩ := hx; hr.isSt_st
theorem isSt_st' {x : ℝ*} (hx : ¬Infinite x) : IsSt x (st x) :=
(isSt_sSup hx).isSt_st
theorem isSt_st {x : ℝ*} (hx : st x ≠ 0) : IsSt x (st x) :=
isSt_st' <| mt Infinite.st_eq hx
theorem isSt_refl_real (r : ℝ) : IsSt r r := isSt_ofSeq_iff_tendsto.2 tendsto_const_nhds
theorem st_id_real (r : ℝ) : st r = r := (isSt_refl_real r).st_eq
theorem eq_of_isSt_real {r s : ℝ} : IsSt r s → r = s :=
(isSt_refl_real r).unique
theorem isSt_real_iff_eq {r s : ℝ} : IsSt r s ↔ r = s :=
⟨eq_of_isSt_real, fun hrs => hrs ▸ isSt_refl_real r⟩
theorem isSt_symm_real {r s : ℝ} : IsSt r s ↔ IsSt s r := by
rw [isSt_real_iff_eq, isSt_real_iff_eq, eq_comm]
theorem isSt_trans_real {r s t : ℝ} : IsSt r s → IsSt s t → IsSt r t := by
rw [isSt_real_iff_eq, isSt_real_iff_eq, isSt_real_iff_eq]; exact Eq.trans
theorem isSt_inj_real {r₁ r₂ s : ℝ} (h1 : IsSt r₁ s) (h2 : IsSt r₂ s) : r₁ = r₂ :=
Eq.trans (eq_of_isSt_real h1) (eq_of_isSt_real h2).symm
theorem isSt_iff_abs_sub_lt_delta {x : ℝ*} {r : ℝ} : IsSt x r ↔ ∀ δ : ℝ, 0 < δ → |x - ↑r| < δ := by
simp only [abs_sub_lt_iff, sub_lt_iff_lt_add, IsSt, and_comm, add_comm]
theorem IsSt.map {x : ℝ*} {r : ℝ} (hxr : IsSt x r) {f : ℝ → ℝ} (hf : ContinuousAt f r) :
IsSt (x.map f) (f r) := by
rcases ofSeq_surjective x with ⟨g, rfl⟩
exact isSt_ofSeq_iff_tendsto.2 <| hf.tendsto.comp (isSt_ofSeq_iff_tendsto.1 hxr)
theorem IsSt.map₂ {x y : ℝ*} {r s : ℝ} (hxr : IsSt x r) (hys : IsSt y s) {f : ℝ → ℝ → ℝ}
(hf : ContinuousAt (Function.uncurry f) (r, s)) : IsSt (x.map₂ f y) (f r s) := by
rcases ofSeq_surjective x with ⟨x, rfl⟩
rcases ofSeq_surjective y with ⟨y, rfl⟩
rw [isSt_ofSeq_iff_tendsto] at hxr hys
exact isSt_ofSeq_iff_tendsto.2 <| hf.tendsto.comp (hxr.prodMk_nhds hys)
theorem IsSt.add {x y : ℝ*} {r s : ℝ} (hxr : IsSt x r) (hys : IsSt y s) :
IsSt (x + y) (r + s) := hxr.map₂ hys continuous_add.continuousAt
theorem IsSt.neg {x : ℝ*} {r : ℝ} (hxr : IsSt x r) : IsSt (-x) (-r) :=
hxr.map continuous_neg.continuousAt
theorem IsSt.sub {x y : ℝ*} {r s : ℝ} (hxr : IsSt x r) (hys : IsSt y s) : IsSt (x - y) (r - s) :=
hxr.map₂ hys continuous_sub.continuousAt
theorem IsSt.le {x y : ℝ*} {r s : ℝ} (hrx : IsSt x r) (hsy : IsSt y s) (hxy : x ≤ y) : r ≤ s :=
not_lt.1 fun h ↦ hxy.not_lt <| hsy.lt hrx h
theorem st_le_of_le {x y : ℝ*} (hix : ¬Infinite x) (hiy : ¬Infinite y) : x ≤ y → st x ≤ st y :=
(isSt_st' hix).le (isSt_st' hiy)
theorem lt_of_st_lt {x y : ℝ*} (hix : ¬Infinite x) (hiy : ¬Infinite y) : st x < st y → x < y :=
(isSt_st' hix).lt (isSt_st' hiy)
/-!
### Basic lemmas about infinite
-/
theorem infinitePos_def {x : ℝ*} : InfinitePos x ↔ ∀ r : ℝ, ↑r < x := Iff.rfl
theorem infiniteNeg_def {x : ℝ*} : InfiniteNeg x ↔ ∀ r : ℝ, x < r := Iff.rfl
theorem InfinitePos.pos {x : ℝ*} (hip : InfinitePos x) : 0 < x := hip 0
theorem InfiniteNeg.lt_zero {x : ℝ*} : InfiniteNeg x → x < 0 := fun hin => hin 0
theorem Infinite.ne_zero {x : ℝ*} (hI : Infinite x) : x ≠ 0 :=
hI.elim (fun hip => hip.pos.ne') fun hin => hin.lt_zero.ne
theorem not_infinite_zero : ¬Infinite 0 := fun hI => hI.ne_zero rfl
theorem InfiniteNeg.not_infinitePos {x : ℝ*} : InfiniteNeg x → ¬InfinitePos x := fun hn hp =>
(hn 0).not_lt (hp 0)
theorem InfinitePos.not_infiniteNeg {x : ℝ*} (hp : InfinitePos x) : ¬InfiniteNeg x := fun hn ↦
hn.not_infinitePos hp
theorem InfinitePos.neg {x : ℝ*} : InfinitePos x → InfiniteNeg (-x) := fun hp r =>
| neg_lt.mp (hp (-r))
| Mathlib/Data/Real/Hyperreal.lean | 379 | 380 |
/-
Copyright (c) 2024 Riccardo Brasca. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Riccardo Brasca, Pietro Monticone
-/
import Mathlib.NumberTheory.Cyclotomic.Embeddings
import Mathlib.NumberTheory.Cyclotomic.Rat
import Mathlib.NumberTheory.NumberField.Units.DirichletTheorem
import Mathlib.RingTheory.Fintype
/-!
# Third Cyclotomic Field
We gather various results about the third cyclotomic field. The following notations are used in this
file: `K` is a number field such that `IsCyclotomicExtension {3} ℚ K`, `ζ` is any primitive `3`-rd
root of unity in `K`, `η` is the element in the units of the ring of integers corresponding to `ζ`
and `λ = η - 1`.
## Main results
* `IsCyclotomicExtension.Rat.Three.Units.mem`: Given a unit `u : (𝓞 K)ˣ`, we have that
`u ∈ {1, -1, η, -η, η^2, -η^2}`.
* `IsCyclotomicExtension.Rat.Three.eq_one_or_neg_one_of_unit_of_congruent`: Given a unit
`u : (𝓞 K)ˣ`, if `u` is congruent to an integer modulo `3`, then `u = 1` or `u = -1`.
This is a special case of the so-called *Kummer's lemma* (see for example [washington_cyclotomic],
Theorem 5.36
-/
open NumberField Units InfinitePlace nonZeroDivisors Polynomial
namespace IsCyclotomicExtension.Rat.Three
variable {K : Type*} [Field K]
variable {ζ : K} (hζ : IsPrimitiveRoot ζ ↑(3 : ℕ+)) (u : (𝓞 K)ˣ)
local notation3 "η" => (IsPrimitiveRoot.isUnit (hζ.toInteger_isPrimitiveRoot) (by decide)).unit
local notation3 "λ" => hζ.toInteger - 1
lemma coe_eta : (η : 𝓞 K) = hζ.toInteger := rfl
lemma _root_.IsPrimitiveRoot.toInteger_cube_eq_one : hζ.toInteger ^ 3 = 1 :=
hζ.toInteger_isPrimitiveRoot.pow_eq_one
/-- Let `u` be a unit in `(𝓞 K)ˣ`, then `u ∈ [1, -1, η, -η, η^2, -η^2]`. -/
-- Here `List` is more convenient than `Finset`, even if further from the informal statement.
-- For example, `fin_cases` below does not work with a `Finset`.
theorem Units.mem [NumberField K] [IsCyclotomicExtension {3} ℚ K] :
u ∈ [1, -1, η, -η, η ^ 2, -η ^ 2] := by
have hrank : rank K = 0 := by
dsimp only [rank]
rw [card_eq_nrRealPlaces_add_nrComplexPlaces, nrRealPlaces_eq_zero (n := 3) K (by decide),
zero_add, nrComplexPlaces_eq_totient_div_two (n := 3)]
rfl
obtain ⟨⟨x, e⟩, hxu, -⟩ := exist_unique_eq_mul_prod _ u
replace hxu : u = x := by
rw [← mul_one x.1, hxu]
apply congr_arg
rw [← Finset.prod_empty]
congr
rw [Finset.univ_eq_empty_iff, hrank]
infer_instance
obtain ⟨n, hnpos, hn⟩ := isOfFinOrder_iff_pow_eq_one.1 <| (CommGroup.mem_torsion _ _).1 x.2
replace hn : (↑u : K) ^ ((⟨n, hnpos⟩ : ℕ+) : ℕ) = 1 := by
rw [← map_pow]
convert map_one (algebraMap (𝓞 K) K)
rw_mod_cast [hxu, hn]
simp
obtain ⟨r, hr3, hru⟩ := hζ.exists_pow_or_neg_mul_pow_of_isOfFinOrder (by decide)
(isOfFinOrder_iff_pow_eq_one.2 ⟨n, hnpos, hn⟩)
replace hr : r ∈ Finset.Ico 0 3 := Finset.mem_Ico.2 ⟨by simp, hr3⟩
replace hru : ↑u = η ^ r ∨ ↑u = -η ^ r := by
rcases hru with h | h
· left; ext; exact h
· right; ext; exact h
fin_cases hr <;> rcases hru with h | h <;> simp [h]
/-- We have that `λ ^ 2 = -3 * η`. -/
private lemma lambda_sq : λ ^ 2 = -3 * η := by
ext
calc (λ ^ 2 : K) = η ^ 2 + η + 1 - 3 * η := by
simp only [RingOfIntegers.map_mk, IsUnit.unit_spec]; ring
_ = 0 - 3 * η := by simpa using hζ.isRoot_cyclotomic (by decide)
_ = -3 * η := by ring
/-- We have that `η ^ 2 = -η - 1`. -/
lemma eta_sq : (η ^ 2 : 𝓞 K) = - η - 1 := by
rw [← neg_add', ← add_eq_zero_iff_eq_neg, ← add_assoc]
ext; simpa using hζ.isRoot_cyclotomic (by decide)
/-- If a unit `u` is congruent to an integer modulo `λ ^ 2`, then `u = 1` or `u = -1`.
This is a special case of the so-called *Kummer's lemma*. -/
theorem eq_one_or_neg_one_of_unit_of_congruent
[NumberField K] [IsCyclotomicExtension {3} ℚ K] (hcong : ∃ n : ℤ, λ ^ 2 ∣ (u - n : 𝓞 K)) :
u = 1 ∨ u = -1 := by
replace hcong : ∃ n : ℤ, (3 : 𝓞 K) ∣ (↑u - n : 𝓞 K) := by
obtain ⟨n, x, hx⟩ := hcong
exact ⟨n, -η * x, by rw [← mul_assoc, mul_neg, ← neg_mul, ← lambda_sq, hx]⟩
have hζ := IsCyclotomicExtension.zeta_spec 3 ℚ K
have := Units.mem hζ u
fin_cases this
· left; rfl
· right; rfl
all_goals exfalso
· exact hζ.not_exists_int_prime_dvd_sub_of_prime_ne_two' (by decide) hcong
· apply hζ.not_exists_int_prime_dvd_sub_of_prime_ne_two' (by decide)
obtain ⟨n, x, hx⟩ := hcong
rw [sub_eq_iff_eq_add] at hx
refine ⟨-n, -x, sub_eq_iff_eq_add.2 ?_⟩
simp only [PNat.val_ofNat, Nat.cast_ofNat, mul_neg, Int.cast_neg, ← neg_add, ← hx,
Units.val_neg, IsUnit.unit_spec, RingOfIntegers.neg_mk, neg_neg]
· exact (hζ.pow_of_coprime 2 (by decide)).not_exists_int_prime_dvd_sub_of_prime_ne_two'
(by decide) hcong
· apply (hζ.pow_of_coprime 2 (by decide)).not_exists_int_prime_dvd_sub_of_prime_ne_two'
(by decide)
obtain ⟨n, x, hx⟩ := hcong
refine ⟨-n, -x, sub_eq_iff_eq_add.2 ?_⟩
have : (hζ.pow_of_coprime 2 (by decide)).toInteger = hζ.toInteger ^ 2 := by ext; simp
simp only [this, PNat.val_ofNat, Nat.cast_ofNat, mul_neg, Int.cast_neg, ← neg_add, ←
sub_eq_iff_eq_add.1 hx, Units.val_neg, val_pow_eq_pow_val, IsUnit.unit_spec, neg_neg]
variable (x : 𝓞 K)
/-- Let `(x : 𝓞 K)`. Then we have that `λ` divides one amongst `x`, `x - 1` and `x + 1`. -/
lemma lambda_dvd_or_dvd_sub_one_or_dvd_add_one [NumberField K] [IsCyclotomicExtension {3} ℚ K] :
λ ∣ x ∨ λ ∣ x - 1 ∨ λ ∣ x + 1 := by
classical
have := hζ.finite_quotient_toInteger_sub_one (by decide)
let _ := Fintype.ofFinite (𝓞 K ⧸ Ideal.span {λ})
let _ : Ring (𝓞 K ⧸ Ideal.span {λ}) := CommRing.toRing -- to speed up instance synthesis
let _ : AddGroup (𝓞 K ⧸ Ideal.span {λ}) := AddGroupWithOne.toAddGroup -- ditto
have := Finset.mem_univ (Ideal.Quotient.mk (Ideal.span {λ}) x)
have h3 : Fintype.card (𝓞 K ⧸ Ideal.span {λ}) = 3 := by
rw [← Nat.card_eq_fintype_card, hζ.card_quotient_toInteger_sub_one,
hζ.norm_toInteger_sub_one_of_prime_ne_two' (by decide)]
simp only [PNat.val_ofNat, Nat.cast_ofNat, Int.reduceAbs]
rw [Finset.univ_of_card_le_three h3.le] at this
simp only [Finset.mem_insert, Finset.mem_singleton] at this
rcases this with h | h | h
· left
exact Ideal.mem_span_singleton.1 <| Ideal.Quotient.eq_zero_iff_mem.1 h
· right; left
refine Ideal.mem_span_singleton.1 <| Ideal.Quotient.eq_zero_iff_mem.1 ?_
rw [RingHom.map_sub, h, RingHom.map_one, sub_self]
· right; right
refine Ideal.mem_span_singleton.1 <| Ideal.Quotient.eq_zero_iff_mem.1 ?_
rw [RingHom.map_add, h, RingHom.map_one, neg_add_cancel]
/-- We have that `η ^ 2 + η + 1 = 0`. -/
lemma eta_sq_add_eta_add_one : (η : 𝓞 K) ^ 2 + η + 1 = 0 := by
| rw [eta_sq]
ring
/-- We have that `x ^ 3 - 1 = (x - 1) * (x - η) * (x - η ^ 2)`. -/
lemma cube_sub_one_eq_mul : x ^ 3 - 1 = (x - 1) * (x - η) * (x - η ^ 2) := by
symm
calc _ = x ^ 3 - x ^ 2 * (η ^ 2 + η + 1) + x * (η ^ 2 + η + η ^ 3) - η ^ 3 := by ring
| Mathlib/NumberTheory/Cyclotomic/Three.lean | 151 | 157 |
/-
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, Antoine Labelle
-/
import Mathlib.LinearAlgebra.Contraction
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff
import Mathlib.RingTheory.Finiteness.Prod
import Mathlib.RingTheory.TensorProduct.Finite
import Mathlib.RingTheory.TensorProduct.Free
/-!
# Trace of a linear map
This file defines the trace of a linear map.
See also `LinearAlgebra/Matrix/Trace.lean` for the trace of a matrix.
## Tags
linear_map, trace, diagonal
-/
noncomputable section
universe u v w
namespace LinearMap
open scoped Matrix
open Module TensorProduct
section
variable (R : Type u) [CommSemiring R] {M : Type v} [AddCommMonoid M] [Module R M]
variable {ι : Type w} [DecidableEq ι] [Fintype ι]
variable {κ : Type*} [DecidableEq κ] [Fintype κ]
variable (b : Basis ι R M) (c : Basis κ R M)
/-- The trace of an endomorphism given a basis. -/
def traceAux : (M →ₗ[R] M) →ₗ[R] R :=
Matrix.traceLinearMap ι R R ∘ₗ ↑(LinearMap.toMatrix b b)
-- Can't be `simp` because it would cause a loop.
theorem traceAux_def (b : Basis ι R M) (f : M →ₗ[R] M) :
traceAux R b f = Matrix.trace (LinearMap.toMatrix b b f) :=
rfl
theorem traceAux_eq : traceAux R b = traceAux R c :=
LinearMap.ext fun f =>
calc
Matrix.trace (LinearMap.toMatrix b b f) =
Matrix.trace (LinearMap.toMatrix b b ((LinearMap.id.comp f).comp LinearMap.id)) := by
rw [LinearMap.id_comp, LinearMap.comp_id]
_ = Matrix.trace (LinearMap.toMatrix c b LinearMap.id * LinearMap.toMatrix c c f *
LinearMap.toMatrix b c LinearMap.id) := by
rw [LinearMap.toMatrix_comp _ c, LinearMap.toMatrix_comp _ c]
_ = Matrix.trace (LinearMap.toMatrix c c f * LinearMap.toMatrix b c LinearMap.id *
LinearMap.toMatrix c b LinearMap.id) := by
rw [Matrix.mul_assoc, Matrix.trace_mul_comm]
_ = Matrix.trace (LinearMap.toMatrix c c ((f.comp LinearMap.id).comp LinearMap.id)) := by
rw [LinearMap.toMatrix_comp _ b, LinearMap.toMatrix_comp _ c]
_ = Matrix.trace (LinearMap.toMatrix c c f) := by rw [LinearMap.comp_id, LinearMap.comp_id]
variable (M) in
open Classical in
/-- Trace of an endomorphism independent of basis. -/
def trace : (M →ₗ[R] M) →ₗ[R] R :=
if H : ∃ s : Finset M, Nonempty (Basis s R M) then traceAux R H.choose_spec.some else 0
open Classical in
/-- Auxiliary lemma for `trace_eq_matrix_trace`. -/
theorem trace_eq_matrix_trace_of_finset {s : Finset M} (b : Basis s R M) (f : M →ₗ[R] M) :
trace R M f = Matrix.trace (LinearMap.toMatrix b b f) := by
have : ∃ s : Finset M, Nonempty (Basis s R M) := ⟨s, ⟨b⟩⟩
rw [trace, dif_pos this, ← traceAux_def]
congr 1
apply traceAux_eq
theorem trace_eq_matrix_trace (f : M →ₗ[R] M) :
trace R M f = Matrix.trace (LinearMap.toMatrix b b f) := by
classical
rw [trace_eq_matrix_trace_of_finset R b.reindexFinsetRange, ← traceAux_def, ← traceAux_def,
traceAux_eq R b b.reindexFinsetRange]
theorem trace_mul_comm (f g : M →ₗ[R] M) : trace R M (f * g) = trace R M (g * f) := by
classical
by_cases H : ∃ s : Finset M, Nonempty (Basis s R M)
· let ⟨s, ⟨b⟩⟩ := H
simp_rw [trace_eq_matrix_trace R b, LinearMap.toMatrix_mul]
apply Matrix.trace_mul_comm
· rw [trace, dif_neg H, LinearMap.zero_apply, LinearMap.zero_apply]
lemma trace_mul_cycle (f g h : M →ₗ[R] M) :
trace R M (f * g * h) = trace R M (h * f * g) := by
rw [LinearMap.trace_mul_comm, ← mul_assoc]
lemma trace_mul_cycle' (f g h : M →ₗ[R] M) :
trace R M (f * (g * h)) = trace R M (h * (f * g)) := by
rw [← mul_assoc, LinearMap.trace_mul_comm]
/-- The trace of an endomorphism is invariant under conjugation -/
@[simp]
theorem trace_conj (g : M →ₗ[R] M) (f : (M →ₗ[R] M)ˣ) :
trace R M (↑f * g * ↑f⁻¹) = trace R M g := by
rw [trace_mul_comm]
simp
@[simp]
lemma trace_lie {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M] (f g : Module.End R M) :
trace R M ⁅f, g⁆ = 0 := by
rw [Ring.lie_def, map_sub, trace_mul_comm]
exact sub_self _
end
section
variable {R : Type*} [CommRing R] {M : Type*} [AddCommGroup M] [Module R M]
variable (N P : Type*) [AddCommGroup N] [Module R N] [AddCommGroup P] [Module R P]
variable {ι : Type*}
/-- The trace of a linear map correspond to the contraction pairing under the isomorphism
`End(M) ≃ M* ⊗ M` -/
theorem trace_eq_contract_of_basis [Finite ι] (b : Basis ι R M) :
LinearMap.trace R M ∘ₗ dualTensorHom R M M = contractLeft R M := by
classical
cases nonempty_fintype ι
apply Basis.ext (Basis.tensorProduct (Basis.dualBasis b) b)
rintro ⟨i, j⟩
simp only [Function.comp_apply, Basis.tensorProduct_apply, Basis.coe_dualBasis, coe_comp]
rw [trace_eq_matrix_trace R b, toMatrix_dualTensorHom]
by_cases hij : i = j
· rw [hij]
simp
rw [Matrix.StdBasisMatrix.trace_zero j i (1 : R) hij]
simp [Finsupp.single_eq_pi_single, hij]
|
/-- The trace of a linear map corresponds to the contraction pairing under the isomorphism
`End(M) ≃ M* ⊗ M`. -/
theorem trace_eq_contract_of_basis' [Fintype ι] [DecidableEq ι] (b : Basis ι R M) :
LinearMap.trace R M = contractLeft R M ∘ₗ (dualTensorHomEquivOfBasis b).symm.toLinearMap := by
simp [LinearEquiv.eq_comp_toLinearMap_symm, trace_eq_contract_of_basis b]
section
variable (R M)
variable [Module.Free R M] [Module.Finite R M] [Module.Free R N] [Module.Finite R N]
/-- When `M` is finite free, the trace of a linear map corresponds to the contraction pairing under
the isomorphism `End(M) ≃ M* ⊗ M`. -/
| Mathlib/LinearAlgebra/Trace.lean | 138 | 150 |
/-
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.CategoryTheory.Monoidal.Discrete
import Mathlib.CategoryTheory.Monoidal.NaturalTransformation
import Mathlib.CategoryTheory.Monoidal.Opposite
import Mathlib.Tactic.CategoryTheory.Monoidal.Basic
import Mathlib.CategoryTheory.CommSq
/-!
# Braided and symmetric monoidal categories
The basic definitions of braided monoidal categories, and symmetric monoidal categories,
as well as braided functors.
## Implementation note
We make `BraidedCategory` another typeclass, but then have `SymmetricCategory` extend this.
The rationale is that we are not carrying any additional data, just requiring a property.
## Future work
* Construct the Drinfeld center of a monoidal category as a braided monoidal category.
* Say something about pseudo-natural transformations.
## References
* [Pavel Etingof, Shlomo Gelaki, Dmitri Nikshych, Victor Ostrik, *Tensor categories*][egno15]
-/
universe v v₁ v₂ v₃ u u₁ u₂ u₃
namespace CategoryTheory
open Category MonoidalCategory Functor.LaxMonoidal Functor.OplaxMonoidal Functor.Monoidal
/-- A braided monoidal category is a monoidal category equipped with a braiding isomorphism
`β_ X Y : X ⊗ Y ≅ Y ⊗ X`
which is natural in both arguments,
and also satisfies the two hexagon identities.
-/
class BraidedCategory (C : Type u) [Category.{v} C] [MonoidalCategory.{v} C] where
/-- The braiding natural isomorphism. -/
braiding : ∀ X Y : C, X ⊗ Y ≅ Y ⊗ X
braiding_naturality_right :
∀ (X : C) {Y Z : C} (f : Y ⟶ Z),
X ◁ f ≫ (braiding X Z).hom = (braiding X Y).hom ≫ f ▷ X := by
aesop_cat
braiding_naturality_left :
∀ {X Y : C} (f : X ⟶ Y) (Z : C),
f ▷ Z ≫ (braiding Y Z).hom = (braiding X Z).hom ≫ Z ◁ f := by
aesop_cat
/-- The first hexagon identity. -/
hexagon_forward :
∀ X Y Z : C,
(α_ X Y Z).hom ≫ (braiding X (Y ⊗ Z)).hom ≫ (α_ Y Z X).hom =
((braiding X Y).hom ▷ Z) ≫ (α_ Y X Z).hom ≫ (Y ◁ (braiding X Z).hom) := by
aesop_cat
/-- The second hexagon identity. -/
hexagon_reverse :
∀ X Y Z : C,
(α_ X Y Z).inv ≫ (braiding (X ⊗ Y) Z).hom ≫ (α_ Z X Y).inv =
(X ◁ (braiding Y Z).hom) ≫ (α_ X Z Y).inv ≫ ((braiding X Z).hom ▷ Y) := by
aesop_cat
attribute [reassoc (attr := simp)]
BraidedCategory.braiding_naturality_left
BraidedCategory.braiding_naturality_right
attribute [reassoc] BraidedCategory.hexagon_forward BraidedCategory.hexagon_reverse
open BraidedCategory
@[inherit_doc]
notation "β_" => BraidedCategory.braiding
namespace BraidedCategory
variable {C : Type u} [Category.{v} C] [MonoidalCategory.{v} C] [BraidedCategory.{v} C]
@[simp, reassoc]
theorem braiding_tensor_left (X Y Z : C) :
(β_ (X ⊗ Y) Z).hom =
(α_ X Y Z).hom ≫ X ◁ (β_ Y Z).hom ≫ (α_ X Z Y).inv ≫
(β_ X Z).hom ▷ Y ≫ (α_ Z X Y).hom := by
apply (cancel_epi (α_ X Y Z).inv).1
apply (cancel_mono (α_ Z X Y).inv).1
simp [hexagon_reverse]
@[simp, reassoc]
theorem braiding_tensor_right (X Y Z : C) :
(β_ X (Y ⊗ Z)).hom =
(α_ X Y Z).inv ≫ (β_ X Y).hom ▷ Z ≫ (α_ Y X Z).hom ≫
Y ◁ (β_ X Z).hom ≫ (α_ Y Z X).inv := by
apply (cancel_epi (α_ X Y Z).hom).1
apply (cancel_mono (α_ Y Z X).hom).1
simp [hexagon_forward]
@[simp, reassoc]
theorem braiding_inv_tensor_left (X Y Z : C) :
(β_ (X ⊗ Y) Z).inv =
(α_ Z X Y).inv ≫ (β_ X Z).inv ▷ Y ≫ (α_ X Z Y).hom ≫
X ◁ (β_ Y Z).inv ≫ (α_ X Y Z).inv :=
eq_of_inv_eq_inv (by simp)
@[simp, reassoc]
| theorem braiding_inv_tensor_right (X Y Z : C) :
(β_ X (Y ⊗ Z)).inv =
(α_ Y Z X).hom ≫ Y ◁ (β_ X Z).inv ≫ (α_ Y X Z).inv ≫
(β_ X Y).inv ▷ Z ≫ (α_ X Y Z).hom :=
eq_of_inv_eq_inv (by simp)
| Mathlib/CategoryTheory/Monoidal/Braided/Basic.lean | 111 | 115 |
/-
Copyright (c) 2024 Calle Sönne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Paul Lezeau, Calle Sönne
-/
import Mathlib.CategoryTheory.Functor.Category
import Mathlib.CategoryTheory.CommSq
/-!
# HomLift
Given a functor `p : 𝒳 ⥤ 𝒮`, this file provides API for expressing the fact that `p(φ) = f`
for given morphisms `φ` and `f`. The reason this API is needed is because, in general, `p.map φ = f`
does not make sense when the domain and/or codomain of `φ` and `f` are not definitionally equal.
## Main definition
Given morphism `φ : a ⟶ b` in `𝒳` and `f : R ⟶ S` in `𝒮`, `p.IsHomLift f φ` is a class, defined
using the auxiliary inductive type `IsHomLiftAux` which expresses the fact that `f = p(φ)`.
We also define a macro `subst_hom_lift p f φ` which can be used to substitute `f` with `p(φ)` in a
goal, this tactic is just short for `obtain ⟨⟩ := Functor.IsHomLift.cond (p:=p) (f:=f) (φ:=φ)`, and
it is used to make the code more readable.
-/
universe u₁ v₁ u₂ v₂
open CategoryTheory Category
variable {𝒮 : Type u₁} {𝒳 : Type u₂} [Category.{v₁} 𝒳] [Category.{v₂} 𝒮] (p : 𝒳 ⥤ 𝒮)
namespace CategoryTheory
/-- Helper-type for defining `IsHomLift`. -/
inductive IsHomLiftAux : ∀ {R S : 𝒮} {a b : 𝒳} (_ : R ⟶ S) (_ : a ⟶ b), Prop
| map {a b : 𝒳} (φ : a ⟶ b) : IsHomLiftAux (p.map φ) φ
/-- Given a functor `p : 𝒳 ⥤ 𝒮`, an arrow `φ : a ⟶ b` in `𝒳` and an arrow `f : R ⟶ S` in `𝒮`,
`p.IsHomLift f φ` expresses the fact that `φ` lifts `f` through `p`.
This is often drawn as:
```
a --φ--> b
- -
| |
v v
R --f--> S
``` -/
class Functor.IsHomLift {R S : 𝒮} {a b : 𝒳} (f : R ⟶ S) (φ : a ⟶ b) : Prop where
cond : IsHomLiftAux p f φ
/-- `subst_hom_lift p f φ` tries to substitute `f` with `p(φ)` by using `p.IsHomLift f φ` -/
macro "subst_hom_lift" p:term:max f:term:max φ:term:max : tactic =>
`(tactic| obtain ⟨⟩ := Functor.IsHomLift.cond (p := $p) (f := $f) (φ := $φ))
/-- For any arrow `φ : a ⟶ b` in `𝒳`, `φ` lifts the arrow `p.map φ` in the base `𝒮`. -/
@[simp]
instance {a b : 𝒳} (φ : a ⟶ b) : p.IsHomLift (p.map φ) φ where
cond := by constructor
@[simp]
instance (a : 𝒳) : p.IsHomLift (𝟙 (p.obj a)) (𝟙 a) := by
rw [← p.map_id]; infer_instance
namespace IsHomLift
protected lemma id {p : 𝒳 ⥤ 𝒮} {R : 𝒮} {a : 𝒳} (ha : p.obj a = R) : p.IsHomLift (𝟙 R) (𝟙 a) := by
cases ha; infer_instance
section
variable {R S : 𝒮} {a b : 𝒳}
lemma domain_eq (f : R ⟶ S) (φ : a ⟶ b) [p.IsHomLift f φ] : p.obj a = R := by
subst_hom_lift p f φ; rfl
lemma codomain_eq (f : R ⟶ S) (φ : a ⟶ b) [p.IsHomLift f φ] : p.obj b = S := by
subst_hom_lift p f φ; rfl
variable (f : R ⟶ S) (φ : a ⟶ b) [p.IsHomLift f φ]
lemma fac : f = eqToHom (domain_eq p f φ).symm ≫ p.map φ ≫ eqToHom (codomain_eq p f φ) := by
subst_hom_lift p f φ; simp
lemma fac' : p.map φ = eqToHom (domain_eq p f φ) ≫ f ≫ eqToHom (codomain_eq p f φ).symm := by
subst_hom_lift p f φ; simp
lemma commSq : CommSq (p.map φ) (eqToHom (domain_eq p f φ)) (eqToHom (codomain_eq p f φ)) f where
w := by simp only [fac p f φ, eqToHom_trans_assoc, eqToHom_refl, id_comp]
end
lemma eq_of_isHomLift {a b : 𝒳} (f : p.obj a ⟶ p.obj b) (φ : a ⟶ b) [p.IsHomLift f φ] :
f = p.map φ := by
simp only [fac p f φ, eqToHom_refl, comp_id, id_comp]
lemma of_fac {R S : 𝒮} {a b : 𝒳} (f : R ⟶ S) (φ : a ⟶ b) (ha : p.obj a = R) (hb : p.obj b = S)
(h : f = eqToHom ha.symm ≫ p.map φ ≫ eqToHom hb) : p.IsHomLift f φ := by
subst ha hb h; simp
lemma of_fac' {R S : 𝒮} {a b : 𝒳} (f : R ⟶ S) (φ : a ⟶ b) (ha : p.obj a = R) (hb : p.obj b = S)
(h : p.map φ = eqToHom ha ≫ f ≫ eqToHom hb.symm) : p.IsHomLift f φ := by
subst ha hb
obtain rfl : f = p.map φ := by simpa using h.symm
infer_instance
lemma of_commsq {R S : 𝒮} {a b : 𝒳} (f : R ⟶ S) (φ : a ⟶ b) (ha : p.obj a = R) (hb : p.obj b = S)
(h : p.map φ ≫ eqToHom hb = (eqToHom ha) ≫ f) : p.IsHomLift f φ := by
subst ha hb
obtain rfl : f = p.map φ := by simpa using h.symm
infer_instance
lemma of_commSq {R S : 𝒮} {a b : 𝒳} (f : R ⟶ S) (φ : a ⟶ b) (ha : p.obj a = R) (hb : p.obj b = S)
(h : CommSq (p.map φ) (eqToHom ha) (eqToHom hb) f) : p.IsHomLift f φ :=
of_commsq p f φ ha hb h.1
instance comp {R S T : 𝒮} {a b c : 𝒳} (f : R ⟶ S) (g : S ⟶ T) (φ : a ⟶ b)
(ψ : b ⟶ c) [p.IsHomLift f φ] [p.IsHomLift g ψ] : p.IsHomLift (f ≫ g) (φ ≫ ψ) := by
apply of_commSq
-- This line transforms the first goal in suitable form; the last line closes all three goals.
on_goal 1 => rw [p.map_comp]
apply CommSq.horiz_comp (commSq p f φ) (commSq p g ψ)
/-- If `φ : a ⟶ b` and `ψ : b ⟶ c` lift `𝟙 R`, then so does `φ ≫ ψ` -/
instance lift_id_comp (R : 𝒮) {a b c : 𝒳} (φ : a ⟶ b) (ψ : b ⟶ c)
[p.IsHomLift (𝟙 R) φ] [p.IsHomLift (𝟙 R) ψ] : p.IsHomLift (𝟙 R) (φ ≫ ψ) :=
comp_id (𝟙 R) ▸ comp p (𝟙 R) (𝟙 R) φ ψ
instance comp_lift_id_right {a b c : 𝒳} {S T : 𝒮} (f : S ⟶ T) (φ : a ⟶ b) [p.IsHomLift f φ]
(ψ : b ⟶ c) [p.IsHomLift (𝟙 T) ψ] : p.IsHomLift f (φ ≫ ψ) := by
simpa using inferInstanceAs (p.IsHomLift (f ≫ 𝟙 T) (φ ≫ ψ))
/-- If `φ : a ⟶ b` lifts `f` and `ψ : b ⟶ c` lifts `𝟙 T`, then `φ ≫ ψ` lifts `f` -/
lemma comp_lift_id_right' {R S : 𝒮} {a b c : 𝒳} (f : R ⟶ S) (φ : a ⟶ b) [p.IsHomLift f φ]
(T : 𝒮) (ψ : b ⟶ c) [p.IsHomLift (𝟙 T) ψ] : p.IsHomLift f (φ ≫ ψ) := by
obtain rfl : S = T := by rw [← codomain_eq p f φ, domain_eq p (𝟙 T) ψ]
infer_instance
instance comp_lift_id_left {a b c : 𝒳} {S T : 𝒮} (f : S ⟶ T) (ψ : b ⟶ c) [p.IsHomLift f ψ]
(φ : a ⟶ b) [p.IsHomLift (𝟙 S) φ] : p.IsHomLift f (φ ≫ ψ) := by
simpa using inferInstanceAs (p.IsHomLift (𝟙 S ≫ f) (φ ≫ ψ))
/-- If `φ : a ⟶ b` lifts `𝟙 T` and `ψ : b ⟶ c` lifts `f`, then `φ ≫ ψ` lifts `f` -/
lemma comp_lift_id_left' {a b c : 𝒳} (R : 𝒮) (φ : a ⟶ b) [p.IsHomLift (𝟙 R) φ]
{S T : 𝒮} (f : S ⟶ T) (ψ : b ⟶ c) [p.IsHomLift f ψ] : p.IsHomLift f (φ ≫ ψ) := by
| obtain rfl : R = S := by rw [← codomain_eq p (𝟙 R) φ, domain_eq p f ψ]
infer_instance
| Mathlib/CategoryTheory/FiberedCategory/HomLift.lean | 148 | 150 |
/-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Jens Wagemaker, Aaron Anderson
-/
import Mathlib.Algebra.EuclideanDomain.Basic
import Mathlib.Algebra.EuclideanDomain.Int
import Mathlib.Algebra.GCDMonoid.Nat
import Mathlib.Data.Nat.Prime.Int
import Mathlib.RingTheory.PrincipalIdealDomain
/-!
# Divisibility over ℤ
This file collects results for the integers that use ring theory in their proofs or
cases of ℤ being examples of structures in ring theory.
## Main statements
* `Int.Prime.dvd_mul'`: A prime number dividing a product in ℤ divides at least one factor.
* `Int.exists_prime_and_dvd`: Every non-unit integer has a prime divisor.
* `Int.prime_iff_natAbs_prime`: Primality in ℤ corresponds to primality of its absolute value in ℕ.
* `Int.span_natAbs`: The principal ideal generated by `a.natAbs` is equal to that of `a`.
## Tags
prime, irreducible, integers, normalization monoid, gcd monoid, greatest common divisor
-/
namespace Int
@[deprecated "use `isCoprime_iff_gcd_eq_one.symm` instead" (since := "2025-01-23")]
theorem gcd_eq_one_iff_coprime {a b : ℤ} : Int.gcd a b = 1 ↔ IsCoprime a b :=
isCoprime_iff_gcd_eq_one.symm
theorem isCoprime_iff_nat_coprime {a b : ℤ} : IsCoprime a b ↔ Nat.Coprime a.natAbs b.natAbs := by
rw [isCoprime_iff_gcd_eq_one, Nat.coprime_iff_gcd_eq_one, gcd_eq_natAbs]
@[deprecated (since := "2025-01-23")] alias coprime_iff_nat_coprime := isCoprime_iff_nat_coprime
/-- If `gcd a (m * n) ≠ 1`, then `gcd a m ≠ 1` or `gcd a n ≠ 1`. -/
theorem gcd_ne_one_iff_gcd_mul_right_ne_one {a : ℤ} {m n : ℕ} :
a.gcd (m * n) ≠ 1 ↔ a.gcd m ≠ 1 ∨ a.gcd n ≠ 1 := by
simp only [← isCoprime_iff_gcd_eq_one, ← not_and_or, not_iff_not, IsCoprime.mul_right_iff]
theorem sq_of_gcd_eq_one {a b c : ℤ} (h : Int.gcd a b = 1) (heq : a * b = c ^ 2) :
∃ a0 : ℤ, a = a0 ^ 2 ∨ a = -a0 ^ 2 := by
have h' : IsUnit (GCDMonoid.gcd a b) := by
rw [← coe_gcd, h, Int.ofNat_one]
exact isUnit_one
obtain ⟨d, ⟨u, hu⟩⟩ := exists_associated_pow_of_mul_eq_pow h' heq
use d
rw [← hu]
rcases Int.units_eq_one_or u with hu' | hu' <;>
· rw [hu']
simp
theorem sq_of_isCoprime {a b c : ℤ} (h : IsCoprime a b) (heq : a * b = c ^ 2) :
∃ a0 : ℤ, a = a0 ^ 2 ∨ a = -a0 ^ 2 :=
sq_of_gcd_eq_one (isCoprime_iff_gcd_eq_one.mp h) heq
@[deprecated (since := "2025-01-23")] alias sq_of_coprime := sq_of_isCoprime
theorem natAbs_euclideanDomain_gcd (a b : ℤ) :
Int.natAbs (EuclideanDomain.gcd a b) = Int.gcd a b := by
apply Nat.dvd_antisymm <;> rw [← Int.natCast_dvd_natCast]
· rw [Int.natAbs_dvd]
exact Int.dvd_coe_gcd (EuclideanDomain.gcd_dvd_left _ _) (EuclideanDomain.gcd_dvd_right _ _)
· rw [Int.dvd_natAbs]
exact EuclideanDomain.dvd_gcd Int.gcd_dvd_left Int.gcd_dvd_right
end Int
theorem Int.Prime.dvd_mul {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) :
p ∣ m.natAbs ∨ p ∣ n.natAbs := by
rwa [← hp.dvd_mul, ← Int.natAbs_mul, ← Int.natCast_dvd]
theorem Int.Prime.dvd_mul' {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) :
(p : ℤ) ∣ m ∨ (p : ℤ) ∣ n := by
rw [Int.natCast_dvd, Int.natCast_dvd]
exact Int.Prime.dvd_mul hp h
theorem Int.Prime.dvd_pow {n : ℤ} {k p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ n ^ k) :
p ∣ n.natAbs := by
rw [Int.natCast_dvd, Int.natAbs_pow] at h
exact hp.dvd_of_dvd_pow h
theorem Int.Prime.dvd_pow' {n : ℤ} {k p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ n ^ k) :
(p : ℤ) ∣ n := by
rw [Int.natCast_dvd]
| exact Int.Prime.dvd_pow hp h
theorem prime_two_or_dvd_of_dvd_two_mul_pow_self_two {m : ℤ} {p : ℕ} (hp : Nat.Prime p)
(h : (p : ℤ) ∣ 2 * m ^ 2) : p = 2 ∨ p ∣ Int.natAbs m := by
| Mathlib/RingTheory/Int/Basic.lean | 93 | 96 |
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Chris Hughes, Mario Carneiro
-/
import Mathlib.Algebra.Field.IsField
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.LinearAlgebra.Finsupp.LinearCombination
import Mathlib.RingTheory.Ideal.Maximal
import Mathlib.Tactic.FinCases
/-!
# Ideals over a ring
This file contains an assortment of definitions and results for `Ideal R`,
the type of (left) ideals over a ring `R`.
Note that over commutative rings, left ideals and two-sided ideals are equivalent.
## Implementation notes
`Ideal R` is implemented using `Submodule R R`, where `•` is interpreted as `*`.
## TODO
Support right ideals, and two-sided ideals over non-commutative rings.
-/
variable {ι α β F : Type*}
open Set Function
open Pointwise
section Semiring
namespace Ideal
variable {α : ι → Type*} [Π i, Semiring (α i)] (I : Π i, Ideal (α i))
section Pi
/-- `Πᵢ Iᵢ` as an ideal of `Πᵢ Rᵢ`. -/
def pi : Ideal (Π i, α i) where
carrier := { x | ∀ i, x i ∈ I i }
zero_mem' i := (I i).zero_mem
add_mem' ha hb i := (I i).add_mem (ha i) (hb i)
smul_mem' a _b hb i := (I i).mul_mem_left (a i) (hb i)
theorem mem_pi (x : Π i, α i) : x ∈ pi I ↔ ∀ i, x i ∈ I i :=
Iff.rfl
instance (priority := low) [∀ i, (I i).IsTwoSided] : (pi I).IsTwoSided :=
⟨fun _b hb i ↦ mul_mem_right _ _ (hb i)⟩
end Pi
section Commute
variable {α : Type*} [Semiring α] (I : Ideal α) {a b : α}
theorem add_pow_mem_of_pow_mem_of_le_of_commute {m n k : ℕ}
(ha : a ^ m ∈ I) (hb : b ^ n ∈ I) (hk : m + n ≤ k + 1)
(hab : Commute a b) :
(a + b) ^ k ∈ I := by
simp_rw [hab.add_pow, ← Nat.cast_comm]
apply I.sum_mem
intro c _
apply mul_mem_left
by_cases h : m ≤ c
· rw [hab.pow_pow]
exact I.mul_mem_left _ (I.pow_mem_of_pow_mem ha h)
· refine I.mul_mem_left _ (I.pow_mem_of_pow_mem hb ?_)
omega
theorem add_pow_add_pred_mem_of_pow_mem_of_commute {m n : ℕ}
(ha : a ^ m ∈ I) (hb : b ^ n ∈ I) (hab : Commute a b) :
(a + b) ^ (m + n - 1) ∈ I :=
I.add_pow_mem_of_pow_mem_of_le_of_commute ha hb (by rw [← Nat.sub_le_iff_le_add]) hab
end Commute
end Ideal
end Semiring
section CommSemiring
variable {a b : α}
-- A separate namespace definition is needed because the variables were historically in a different
-- order.
namespace Ideal
variable [CommSemiring α] (I : Ideal α)
theorem add_pow_mem_of_pow_mem_of_le {m n k : ℕ}
(ha : a ^ m ∈ I) (hb : b ^ n ∈ I) (hk : m + n ≤ k + 1) :
(a + b) ^ k ∈ I :=
I.add_pow_mem_of_pow_mem_of_le_of_commute ha hb hk (Commute.all ..)
theorem add_pow_add_pred_mem_of_pow_mem {m n : ℕ}
(ha : a ^ m ∈ I) (hb : b ^ n ∈ I) :
(a + b) ^ (m + n - 1) ∈ I :=
I.add_pow_add_pred_mem_of_pow_mem_of_commute ha hb (Commute.all ..)
theorem pow_multiset_sum_mem_span_pow [DecidableEq α] (s : Multiset α) (n : ℕ) :
s.sum ^ (Multiset.card s * n + 1) ∈
span ((s.map fun (x : α) ↦ x ^ (n + 1)).toFinset : Set α) := by
induction' s using Multiset.induction_on with a s hs
· simp
simp only [Finset.coe_insert, Multiset.map_cons, Multiset.toFinset_cons, Multiset.sum_cons,
Multiset.card_cons, add_pow]
refine Submodule.sum_mem _ ?_
intro c _hc
rw [mem_span_insert]
by_cases h : n + 1 ≤ c
· refine ⟨a ^ (c - (n + 1)) * s.sum ^ ((Multiset.card s + 1) * n + 1 - c) *
((Multiset.card s + 1) * n + 1).choose c, 0, Submodule.zero_mem _, ?_⟩
rw [mul_comm _ (a ^ (n + 1))]
simp_rw [← mul_assoc]
rw [← pow_add, add_zero, add_tsub_cancel_of_le h]
· use 0
simp_rw [zero_mul, zero_add]
refine ⟨_, ?_, rfl⟩
replace h : c ≤ n := Nat.lt_succ_iff.mp (not_le.mp h)
have : (Multiset.card s + 1) * n + 1 - c = Multiset.card s * n + 1 + (n - c) := by
rw [add_mul, one_mul, add_assoc, add_comm n 1, ← add_assoc, add_tsub_assoc_of_le h]
rw [this, pow_add]
simp_rw [mul_assoc, mul_comm (s.sum ^ (Multiset.card s * n + 1)), ← mul_assoc]
exact mul_mem_left _ _ hs
theorem sum_pow_mem_span_pow {ι} (s : Finset ι) (f : ι → α) (n : ℕ) :
(∑ i ∈ s, f i) ^ (s.card * n + 1) ∈ span ((fun i => f i ^ (n + 1)) '' s) := by
classical
simpa only [Multiset.card_map, Multiset.map_map, comp_apply, Multiset.toFinset_map,
Finset.coe_image, Finset.val_toFinset] using pow_multiset_sum_mem_span_pow (s.1.map f) n
theorem span_pow_eq_top (s : Set α) (hs : span s = ⊤) (n : ℕ) :
span ((fun (x : α) => x ^ n) '' s) = ⊤ := by
rw [eq_top_iff_one]
rcases n with - | n
· obtain rfl | ⟨x, hx⟩ := eq_empty_or_nonempty s
· rw [Set.image_empty, hs]
trivial
· exact subset_span ⟨_, hx, pow_zero _⟩
rw [eq_top_iff_one, span, Finsupp.mem_span_iff_linearCombination] at hs
rcases hs with ⟨f, hf⟩
have hf : (f.support.sum fun a => f a * a) = 1 := hf -- Porting note: was `change ... at hf`
have := sum_pow_mem_span_pow f.support (fun a => f a * a) n
rw [hf, one_pow] at this
refine span_le.mpr ?_ this
rintro _ hx
simp_rw [Set.mem_image] at hx
rcases hx with ⟨x, _, rfl⟩
have : span ({(x : α) ^ (n + 1)} : Set α) ≤ span ((fun x : α => x ^ (n + 1)) '' s) := by
rw [span_le, Set.singleton_subset_iff]
exact subset_span ⟨x, x.prop, rfl⟩
refine this ?_
rw [mul_pow, mem_span_singleton]
exact ⟨f x ^ (n + 1), mul_comm _ _⟩
theorem span_range_pow_eq_top (s : Set α) (hs : span s = ⊤) (n : s → ℕ) :
span (Set.range fun x ↦ x.1 ^ n x) = ⊤ := by
have ⟨t, hts, mem⟩ := Submodule.mem_span_finite_of_mem_span ((eq_top_iff_one _).mp hs)
refine top_unique ((span_pow_eq_top _ ((eq_top_iff_one _).mpr mem) <|
t.attach.sup fun x ↦ n ⟨x, hts x.2⟩).ge.trans <| span_le.mpr ?_)
rintro _ ⟨x, hxt, rfl⟩
rw [← Nat.sub_add_cancel (Finset.le_sup <| t.mem_attach ⟨x, hxt⟩)]
simp_rw [pow_add]
exact mul_mem_left _ _ (subset_span ⟨_, rfl⟩)
theorem prod_mem {ι : Type*} {f : ι → α} {s : Finset ι}
(I : Ideal α) {i : ι} (hi : i ∈ s) (hfi : f i ∈ I) :
∏ i ∈ s, f i ∈ I := by
classical
rw [Finset.prod_eq_prod_diff_singleton_mul hi]
exact Ideal.mul_mem_left _ _ hfi
end Ideal
end CommSemiring
section DivisionSemiring
variable {K : Type*} [DivisionSemiring K] (I : Ideal K)
namespace Ideal
variable (K) in
/-- A bijection between (left) ideals of a division ring and `{0, 1}`, sending `⊥` to `0`
and `⊤` to `1`. -/
def equivFinTwo [DecidableEq (Ideal K)] : Ideal K ≃ Fin 2 where
toFun := fun I ↦ if I = ⊥ then 0 else 1
invFun := ![⊥, ⊤]
left_inv := fun I ↦ by rcases eq_bot_or_top I with rfl | rfl <;> simp
right_inv := fun i ↦ by fin_cases i <;> simp
instance : Finite (Ideal K) := let _i := Classical.decEq (Ideal K); ⟨equivFinTwo K⟩
/-- Ideals of a `DivisionSemiring` are a simple order. Thanks to the way abbreviations work,
this automatically gives an `IsSimpleModule K` instance. -/
instance isSimpleOrder : IsSimpleOrder (Ideal K) :=
⟨eq_bot_or_top⟩
end Ideal
end DivisionSemiring
-- TODO: consider moving the lemmas below out of the `Ring` namespace since they are
-- about `CommSemiring`s.
namespace Ring
variable {R : Type*} [CommSemiring R]
theorem exists_not_isUnit_of_not_isField [Nontrivial R] (hf : ¬IsField R) :
∃ (x : R) (_hx : x ≠ (0 : R)), ¬IsUnit x := by
have : ¬_ := fun h => hf ⟨exists_pair_ne R, mul_comm, h⟩
simp_rw [isUnit_iff_exists_inv]
push_neg at this ⊢
obtain ⟨x, hx, not_unit⟩ := this
exact ⟨x, hx, not_unit⟩
theorem not_isField_iff_exists_ideal_bot_lt_and_lt_top [Nontrivial R] :
¬IsField R ↔ ∃ I : Ideal R, ⊥ < I ∧ I < ⊤ := by
constructor
· intro h
obtain ⟨x, nz, nu⟩ := exists_not_isUnit_of_not_isField h
use Ideal.span {x}
rw [bot_lt_iff_ne_bot, lt_top_iff_ne_top]
exact ⟨mt Ideal.span_singleton_eq_bot.mp nz, mt Ideal.span_singleton_eq_top.mp nu⟩
· rintro ⟨I, bot_lt, lt_top⟩ hf
obtain ⟨x, mem, ne_zero⟩ := SetLike.exists_of_lt bot_lt
rw [Submodule.mem_bot] at ne_zero
obtain ⟨y, hy⟩ := hf.mul_inv_cancel ne_zero
rw [lt_top_iff_ne_top, Ne, Ideal.eq_top_iff_one, ← hy] at lt_top
exact lt_top (I.mul_mem_right _ mem)
theorem not_isField_iff_exists_prime [Nontrivial R] :
¬IsField R ↔ ∃ p : Ideal R, p ≠ ⊥ ∧ p.IsPrime :=
not_isField_iff_exists_ideal_bot_lt_and_lt_top.trans
⟨fun ⟨I, bot_lt, lt_top⟩ =>
let ⟨p, hp, le_p⟩ := I.exists_le_maximal (lt_top_iff_ne_top.mp lt_top)
⟨p, bot_lt_iff_ne_bot.mp (lt_of_lt_of_le bot_lt le_p), hp.isPrime⟩,
fun ⟨p, ne_bot, Prime⟩ => ⟨p, bot_lt_iff_ne_bot.mpr ne_bot, lt_top_iff_ne_top.mpr Prime.1⟩⟩
/-- Also see `Ideal.isSimpleOrder` for the forward direction as an instance when `R` is a
division (semi)ring.
This result actually holds for all division semirings, but we lack the predicate to state it. -/
theorem isField_iff_isSimpleOrder_ideal : IsField R ↔ IsSimpleOrder (Ideal R) := by
cases subsingleton_or_nontrivial R
· exact
⟨fun h => (not_isField_of_subsingleton _ h).elim, fun h =>
(false_of_nontrivial_of_subsingleton <| Ideal R).elim⟩
rw [← not_iff_not, Ring.not_isField_iff_exists_ideal_bot_lt_and_lt_top, ← not_iff_not]
push_neg
simp_rw [lt_top_iff_ne_top, bot_lt_iff_ne_bot, ← or_iff_not_imp_left, not_ne_iff]
exact ⟨fun h => ⟨h⟩, fun h => h.2⟩
/-- When a ring is not a field, the maximal ideals are nontrivial. -/
theorem ne_bot_of_isMaximal_of_not_isField [Nontrivial R] {M : Ideal R} (max : M.IsMaximal)
(not_field : ¬IsField R) : M ≠ ⊥ := by
rintro h
rw [h] at max
rcases max with ⟨⟨_h1, h2⟩⟩
obtain ⟨I, hIbot, hItop⟩ := not_isField_iff_exists_ideal_bot_lt_and_lt_top.mp not_field
exact ne_of_lt hItop (h2 I hIbot)
end Ring
namespace Ideal
variable {R : Type*} [CommSemiring R] [Nontrivial R]
theorem bot_lt_of_maximal (M : Ideal R) [hm : M.IsMaximal] (non_field : ¬IsField R) : ⊥ < M := by
rcases Ring.not_isField_iff_exists_ideal_bot_lt_and_lt_top.1 non_field with ⟨I, Ibot, Itop⟩
constructor; · simp
intro mle
apply lt_irrefl (⊤ : Ideal R)
have : M = ⊥ := eq_bot_iff.mpr mle
rw [← this] at Ibot
rwa [hm.1.2 I Ibot] at Itop
end Ideal
| Mathlib/RingTheory/Ideal/Basic.lean | 812 | 818 | |
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Robert Y. Lewis
-/
import Mathlib.RingTheory.WittVector.StructurePolynomial
/-!
# Witt vectors
In this file we define the type of `p`-typical Witt vectors and ring operations on it.
The ring axioms are verified in `Mathlib/RingTheory/WittVector/Basic.lean`.
For a fixed commutative ring `R` and prime `p`,
a Witt vector `x : 𝕎 R` is an infinite sequence `ℕ → R` of elements of `R`.
However, the ring operations `+` and `*` are not defined in the obvious component-wise way.
Instead, these operations are defined via certain polynomials
using the machinery in `Mathlib/RingTheory/WittVector/StructurePolynomial.lean`.
The `n`th value of the sum of two Witt vectors can depend on the `0`-th through `n`th values
of the summands. This effectively simulates a “carrying” operation.
## Main definitions
* `WittVector p R`: the type of `p`-typical Witt vectors with coefficients in `R`.
* `WittVector.coeff x n`: projects the `n`th value of the Witt vector `x`.
## Notation
We use notation `𝕎 R`, entered `\bbW`, for the Witt vectors over `R`.
## References
* [Hazewinkel, *Witt Vectors*][Haze09]
* [Commelin and Lewis, *Formalizing the Ring of Witt Vectors*][CL21]
-/
noncomputable section
/-- `WittVector p R` is the ring of `p`-typical Witt vectors over the commutative ring `R`,
where `p` is a prime number.
If `p` is invertible in `R`, this ring is isomorphic to `ℕ → R` (the product of `ℕ` copies of `R`).
If `R` is a ring of characteristic `p`, then `WittVector p R` is a ring of characteristic `0`.
The canonical example is `WittVector p (ZMod p)`,
which is isomorphic to the `p`-adic integers `ℤ_[p]`. -/
structure WittVector (p : ℕ) (R : Type*) where mk' ::
/-- `x.coeff n` is the `n`th coefficient of the Witt vector `x`.
This concept does not have a standard name in the literature.
-/
coeff : ℕ → R
-- Porting note: added to make the `p` argument explicit
/-- Construct a Witt vector `mk p x : 𝕎 R` from a sequence `x` of elements of `R`. -/
def WittVector.mk (p : ℕ) {R : Type*} (coeff : ℕ → R) : WittVector p R := mk' coeff
variable {p : ℕ}
/- We cannot make this `localized` notation, because the `p` on the RHS doesn't occur on the left
Hiding the `p` in the notation is very convenient, so we opt for repeating the `local notation`
in other files that use Witt vectors. -/
local notation "𝕎" => WittVector p -- type as `\bbW`
namespace WittVector
variable {R : Type*}
@[ext]
theorem ext {x y : 𝕎 R} (h : ∀ n, x.coeff n = y.coeff n) : x = y := by
cases x
cases y
simp only at h
simp [funext_iff, h]
variable (p)
theorem coeff_mk (x : ℕ → R) : (mk p x).coeff = x :=
rfl
/- These instances are not needed for the rest of the development,
but it is interesting to establish early on that `WittVector p` is a lawful functor. -/
instance : Functor (WittVector p) where
map f v := mk p (f ∘ v.coeff)
mapConst a _ := mk p fun _ => a
instance : LawfulFunctor (WittVector p) where
map_const := rfl
-- Porting note: no longer needs to deconstruct `v` to conclude `{coeff := v.coeff} = v`
id_map _ := rfl
comp_map _ _ _ := rfl
variable [hp : Fact p.Prime] [CommRing R]
open MvPolynomial
section RingOperations
/-- The polynomials used for defining the element `0` of the ring of Witt vectors. -/
def wittZero : ℕ → MvPolynomial (Fin 0 × ℕ) ℤ :=
wittStructureInt p 0
/-- The polynomials used for defining the element `1` of the ring of Witt vectors. -/
def wittOne : ℕ → MvPolynomial (Fin 0 × ℕ) ℤ :=
wittStructureInt p 1
/-- The polynomials used for defining the addition of the ring of Witt vectors. -/
def wittAdd : ℕ → MvPolynomial (Fin 2 × ℕ) ℤ :=
wittStructureInt p (X 0 + X 1)
/-- The polynomials used for defining repeated addition of the ring of Witt vectors. -/
def wittNSMul (n : ℕ) : ℕ → MvPolynomial (Fin 1 × ℕ) ℤ :=
wittStructureInt p (n • X (0 : (Fin 1)))
/-- The polynomials used for defining repeated addition of the ring of Witt vectors. -/
def wittZSMul (n : ℤ) : ℕ → MvPolynomial (Fin 1 × ℕ) ℤ :=
wittStructureInt p (n • X (0 : (Fin 1)))
/-- The polynomials used for describing the subtraction of the ring of Witt vectors. -/
def wittSub : ℕ → MvPolynomial (Fin 2 × ℕ) ℤ :=
wittStructureInt p (X 0 - X 1)
/-- The polynomials used for defining the multiplication of the ring of Witt vectors. -/
def wittMul : ℕ → MvPolynomial (Fin 2 × ℕ) ℤ :=
wittStructureInt p (X 0 * X 1)
/-- The polynomials used for defining the negation of the ring of Witt vectors. -/
def wittNeg : ℕ → MvPolynomial (Fin 1 × ℕ) ℤ :=
wittStructureInt p (-X 0)
/-- The polynomials used for defining repeated addition of the ring of Witt vectors. -/
def wittPow (n : ℕ) : ℕ → MvPolynomial (Fin 1 × ℕ) ℤ :=
wittStructureInt p (X 0 ^ n)
variable {p}
/-- An auxiliary definition used in `WittVector.eval`.
Evaluates a polynomial whose variables come from the disjoint union of `k` copies of `ℕ`,
with a curried evaluation `x`.
This can be defined more generally but we use only a specific instance here. -/
def peval {k : ℕ} (φ : MvPolynomial (Fin k × ℕ) ℤ) (x : Fin k → ℕ → R) : R :=
aeval (Function.uncurry x) φ
/-- Let `φ` be a family of polynomials, indexed by natural numbers, whose variables come from the
disjoint union of `k` copies of `ℕ`, and let `xᵢ` be a Witt vector for `0 ≤ i < k`.
`eval φ x` evaluates `φ` mapping the variable `X_(i, n)` to the `n`th coefficient of `xᵢ`.
Instantiating `φ` with certain polynomials defined in
`Mathlib/RingTheory/WittVector/StructurePolynomial.lean` establishes the
ring operations on `𝕎 R`. For example, `WittVector.wittAdd` is such a `φ` with `k = 2`;
evaluating this at `(x₀, x₁)` gives us the sum of two Witt vectors `x₀ + x₁`.
-/
def eval {k : ℕ} (φ : ℕ → MvPolynomial (Fin k × ℕ) ℤ) (x : Fin k → 𝕎 R) : 𝕎 R :=
mk p fun n => peval (φ n) fun i => (x i).coeff
instance : Zero (𝕎 R) :=
⟨eval (wittZero p) ![]⟩
instance : Inhabited (𝕎 R) :=
⟨0⟩
instance : One (𝕎 R) :=
⟨eval (wittOne p) ![]⟩
instance : Add (𝕎 R) :=
⟨fun x y => eval (wittAdd p) ![x, y]⟩
instance : Sub (𝕎 R) :=
⟨fun x y => eval (wittSub p) ![x, y]⟩
instance hasNatScalar : SMul ℕ (𝕎 R) :=
⟨fun n x => eval (wittNSMul p n) ![x]⟩
instance hasIntScalar : SMul ℤ (𝕎 R) :=
⟨fun n x => eval (wittZSMul p n) ![x]⟩
instance : Mul (𝕎 R) :=
⟨fun x y => eval (wittMul p) ![x, y]⟩
instance : Neg (𝕎 R) :=
⟨fun x => eval (wittNeg p) ![x]⟩
instance hasNatPow : Pow (𝕎 R) ℕ :=
⟨fun x n => eval (wittPow p n) ![x]⟩
instance : NatCast (𝕎 R) :=
⟨Nat.unaryCast⟩
instance : IntCast (𝕎 R) :=
⟨Int.castDef⟩
end RingOperations
section WittStructureSimplifications
@[simp]
theorem wittZero_eq_zero (n : ℕ) : wittZero p n = 0 := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [wittZero, wittStructureRat, bind₁, aeval_zero', constantCoeff_xInTermsOfW, map_zero,
map_wittStructureInt]
@[simp]
theorem wittOne_zero_eq_one : wittOne p 0 = 1 := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [wittOne, wittStructureRat, xInTermsOfW_zero, map_one, bind₁_X_right,
map_wittStructureInt]
@[simp]
theorem wittOne_pos_eq_zero (n : ℕ) (hn : 0 < n) : wittOne p n = 0 := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [wittOne, wittStructureRat, RingHom.map_zero, map_one, RingHom.map_one,
map_wittStructureInt]
induction n using Nat.strong_induction_on with | h n IH => ?_
rw [xInTermsOfW_eq]
simp only [map_mul, map_sub, map_sum, map_pow, bind₁_X_right,
bind₁_C_right]
rw [sub_mul, one_mul]
rw [Finset.sum_eq_single 0]
· simp only [invOf_eq_inv, one_mul, inv_pow, tsub_zero, RingHom.map_one, pow_zero]
simp only [one_pow, one_mul, xInTermsOfW_zero, sub_self, bind₁_X_right]
· intro i hin hi0
rw [Finset.mem_range] at hin
rw [IH _ hin (Nat.pos_of_ne_zero hi0), zero_pow (pow_ne_zero _ hp.1.ne_zero), mul_zero]
· rw [Finset.mem_range]; intro; contradiction
@[simp]
theorem wittAdd_zero : wittAdd p 0 = X (0, 0) + X (1, 0) := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [wittAdd, wittStructureRat, map_add, rename_X, xInTermsOfW_zero, map_X,
wittPolynomial_zero, bind₁_X_right, map_wittStructureInt]
@[simp]
theorem wittSub_zero : wittSub p 0 = X (0, 0) - X (1, 0) := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [wittSub, wittStructureRat, map_sub, rename_X, xInTermsOfW_zero, map_X,
wittPolynomial_zero, bind₁_X_right, map_wittStructureInt]
@[simp]
theorem wittMul_zero : wittMul p 0 = X (0, 0) * X (1, 0) := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [wittMul, wittStructureRat, rename_X, xInTermsOfW_zero, map_X, wittPolynomial_zero,
map_mul, bind₁_X_right, map_wittStructureInt]
@[simp]
theorem wittNeg_zero : wittNeg p 0 = -X (0, 0) := by
apply MvPolynomial.map_injective (Int.castRingHom ℚ) Int.cast_injective
simp only [wittNeg, wittStructureRat, rename_X, xInTermsOfW_zero, map_X, wittPolynomial_zero,
map_neg, bind₁_X_right, map_wittStructureInt]
@[simp]
theorem constantCoeff_wittAdd (n : ℕ) : constantCoeff (wittAdd p n) = 0 := by
apply constantCoeff_wittStructureInt p _ _ n
simp only [add_zero, RingHom.map_add, constantCoeff_X]
@[simp]
theorem constantCoeff_wittSub (n : ℕ) : constantCoeff (wittSub p n) = 0 := by
apply constantCoeff_wittStructureInt p _ _ n
simp only [sub_zero, RingHom.map_sub, constantCoeff_X]
@[simp]
theorem constantCoeff_wittMul (n : ℕ) : constantCoeff (wittMul p n) = 0 := by
apply constantCoeff_wittStructureInt p _ _ n
simp only [mul_zero, RingHom.map_mul, constantCoeff_X]
@[simp]
theorem constantCoeff_wittNeg (n : ℕ) : constantCoeff (wittNeg p n) = 0 := by
apply constantCoeff_wittStructureInt p _ _ n
simp only [neg_zero, RingHom.map_neg, constantCoeff_X]
@[simp]
theorem constantCoeff_wittNSMul (m : ℕ) (n : ℕ) : constantCoeff (wittNSMul p m n) = 0 := by
apply constantCoeff_wittStructureInt p _ _ n
simp only [smul_zero, map_nsmul, constantCoeff_X]
@[simp]
theorem constantCoeff_wittZSMul (z : ℤ) (n : ℕ) : constantCoeff (wittZSMul p z n) = 0 := by
apply constantCoeff_wittStructureInt p _ _ n
simp only [smul_zero, map_zsmul, constantCoeff_X]
end WittStructureSimplifications
section Coeff
variable (R)
@[simp]
theorem zero_coeff (n : ℕ) : (0 : 𝕎 R).coeff n = 0 :=
show (aeval _ (wittZero p n) : R) = 0 by simp only [wittZero_eq_zero, map_zero]
@[simp]
theorem one_coeff_zero : (1 : 𝕎 R).coeff 0 = 1 :=
show (aeval _ (wittOne p 0) : R) = 1 by simp only [wittOne_zero_eq_one, map_one]
@[simp]
theorem one_coeff_eq_of_pos (n : ℕ) (hn : 0 < n) : coeff (1 : 𝕎 R) n = 0 :=
show (aeval _ (wittOne p n) : R) = 0 by simp only [hn, wittOne_pos_eq_zero, map_zero]
variable {p R}
@[simp]
theorem v2_coeff {p' R'} (x y : WittVector p' R') (i : Fin 2) :
(![x, y] i).coeff = ![x.coeff, y.coeff] i := by fin_cases i <;> simp
-- Porting note: the lemmas below needed `coeff_mk` added to the `simp` calls
theorem add_coeff (x y : 𝕎 R) (n : ℕ) :
(x + y).coeff n = peval (wittAdd p n) ![x.coeff, y.coeff] := by
simp [(· + ·), Add.add, eval, coeff_mk]
theorem sub_coeff (x y : 𝕎 R) (n : ℕ) :
(x - y).coeff n = peval (wittSub p n) ![x.coeff, y.coeff] := by
simp [(· - ·), Sub.sub, eval, coeff_mk]
theorem mul_coeff (x y : 𝕎 R) (n : ℕ) :
(x * y).coeff n = peval (wittMul p n) ![x.coeff, y.coeff] := by
simp [(· * ·), Mul.mul, eval, coeff_mk]
theorem neg_coeff (x : 𝕎 R) (n : ℕ) : (-x).coeff n = peval (wittNeg p n) ![x.coeff] := by
simp [Neg.neg, eval, Matrix.cons_fin_one, coeff_mk]
theorem nsmul_coeff (m : ℕ) (x : 𝕎 R) (n : ℕ) :
(m • x).coeff n = peval (wittNSMul p m n) ![x.coeff] := by
simp [(· • ·), SMul.smul, eval, Matrix.cons_fin_one, coeff_mk]
| theorem zsmul_coeff (m : ℤ) (x : 𝕎 R) (n : ℕ) :
(m • x).coeff n = peval (wittZSMul p m n) ![x.coeff] := by
| Mathlib/RingTheory/WittVector/Defs.lean | 328 | 329 |
/-
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.Game.Basic
import Mathlib.SetTheory.Ordinal.NaturalOps
/-!
# Ordinals as games
We define the canonical map `Ordinal → SetTheory.PGame`, where every ordinal is mapped to the
game whose left set consists of all previous ordinals.
The map to surreals is defined in `Ordinal.toSurreal`.
# Main declarations
- `Ordinal.toPGame`: The canonical map between ordinals and pre-games.
- `Ordinal.toPGameEmbedding`: The order embedding version of the previous map.
-/
universe u
open SetTheory PGame
open scoped NaturalOps PGame
namespace Ordinal
/-- Converts an ordinal into the corresponding pre-game. -/
noncomputable def toPGame (o : Ordinal.{u}) : PGame.{u} :=
⟨o.toType, PEmpty, fun x => ((enumIsoToType o).symm x).val.toPGame, PEmpty.elim⟩
termination_by o
decreasing_by exact ((enumIsoToType o).symm x).prop
@[simp]
theorem toPGame_leftMoves (o : Ordinal) : o.toPGame.LeftMoves = o.toType := by
rw [toPGame, LeftMoves]
@[simp]
theorem toPGame_rightMoves (o : Ordinal) : o.toPGame.RightMoves = PEmpty := by
rw [toPGame, RightMoves]
instance isEmpty_zero_toPGame_leftMoves : IsEmpty (toPGame 0).LeftMoves := by
rw [toPGame_leftMoves]; infer_instance
instance isEmpty_toPGame_rightMoves (o : Ordinal) : IsEmpty o.toPGame.RightMoves := by
rw [toPGame_rightMoves]; infer_instance
/-- Converts an ordinal less than `o` into a move for the `PGame` corresponding to `o`, and vice
versa. -/
noncomputable def toLeftMovesToPGame {o : Ordinal} : Set.Iio o ≃ o.toPGame.LeftMoves :=
(enumIsoToType o).toEquiv.trans (Equiv.cast (toPGame_leftMoves o).symm)
@[simp]
theorem toLeftMovesToPGame_symm_lt {o : Ordinal} (i : o.toPGame.LeftMoves) :
↑(toLeftMovesToPGame.symm i) < o :=
(toLeftMovesToPGame.symm i).prop
@[nolint unusedHavesSuffices]
theorem toPGame_moveLeft_hEq {o : Ordinal} :
HEq o.toPGame.moveLeft fun x : o.toType => ((enumIsoToType o).symm x).val.toPGame := by
rw [toPGame]
rfl
@[simp]
theorem toPGame_moveLeft' {o : Ordinal} (i) :
o.toPGame.moveLeft i = (toLeftMovesToPGame.symm i).val.toPGame :=
(congr_heq toPGame_moveLeft_hEq.symm (cast_heq _ i)).symm
theorem toPGame_moveLeft {o : Ordinal} (i) :
o.toPGame.moveLeft (toLeftMovesToPGame i) = i.val.toPGame := by simp
/-- `0.toPGame` has the same moves as `0`. -/
noncomputable def zeroToPGameRelabelling : toPGame 0 ≡r 0 :=
Relabelling.isEmpty _
theorem toPGame_zero : toPGame 0 ≈ 0 :=
zeroToPGameRelabelling.equiv
noncomputable instance uniqueOneToPGameLeftMoves : Unique (toPGame 1).LeftMoves :=
(Equiv.cast <| toPGame_leftMoves 1).unique
@[simp]
theorem one_toPGame_leftMoves_default_eq :
(default : (toPGame 1).LeftMoves) = @toLeftMovesToPGame 1 ⟨0, Set.mem_Iio.mpr zero_lt_one⟩ :=
rfl
@[simp]
theorem to_leftMoves_one_toPGame_symm (i) :
(@toLeftMovesToPGame 1).symm i = ⟨0, Set.mem_Iio.mpr zero_lt_one⟩ := by
simp [eq_iff_true_of_subsingleton]
theorem one_toPGame_moveLeft (x) : (toPGame 1).moveLeft x = toPGame 0 := by simp
/-- `1.toPGame` has the same moves as `1`. -/
noncomputable def oneToPGameRelabelling : toPGame 1 ≡r 1 :=
⟨Equiv.ofUnique _ _, Equiv.equivOfIsEmpty _ _, fun i => by
simpa using zeroToPGameRelabelling, isEmptyElim⟩
theorem toPGame_one : toPGame 1 ≈ 1 :=
oneToPGameRelabelling.equiv
theorem toPGame_lf {a b : Ordinal} (h : a < b) : a.toPGame ⧏ b.toPGame := by
convert moveLeft_lf (toLeftMovesToPGame ⟨a, h⟩); rw [toPGame_moveLeft]
theorem toPGame_le {a b : Ordinal} (h : a ≤ b) : a.toPGame ≤ b.toPGame := by
refine le_iff_forall_lf.2 ⟨fun i => ?_, isEmptyElim⟩
rw [toPGame_moveLeft']
exact toPGame_lf ((toLeftMovesToPGame_symm_lt i).trans_le h)
theorem toPGame_lt {a b : Ordinal} (h : a < b) : a.toPGame < b.toPGame :=
⟨toPGame_le h.le, toPGame_lf h⟩
theorem toPGame_nonneg (a : Ordinal) : 0 ≤ a.toPGame :=
zeroToPGameRelabelling.ge.trans <| toPGame_le <| Ordinal.zero_le a
@[simp]
| theorem toPGame_lf_iff {a b : Ordinal} : a.toPGame ⧏ b.toPGame ↔ a < b :=
| Mathlib/SetTheory/Game/Ordinal.lean | 121 | 121 |
/-
Copyright (c) 2021 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying
-/
import Mathlib.MeasureTheory.Measure.Decomposition.RadonNikodym
import Mathlib.MeasureTheory.Measure.Haar.OfBasis
import Mathlib.Probability.Independence.Basic
/-!
# Probability density function
This file defines the probability density function of random variables, by which we mean
measurable functions taking values in a Borel space. The probability density function is defined
as the Radon–Nikodym derivative of the law of `X`. In particular, a measurable function `f`
is said to the probability density function of a random variable `X` if for all measurable
sets `S`, `ℙ(X ∈ S) = ∫ x in S, f x dx`. Probability density functions are one way of describing
the distribution of a random variable, and are useful for calculating probabilities and
finding moments (although the latter is better achieved with moment generating functions).
This file also defines the continuous uniform distribution and proves some properties about
random variables with this distribution.
## Main definitions
* `MeasureTheory.HasPDF` : A random variable `X : Ω → E` is said to `HasPDF` with
respect to the measure `ℙ` on `Ω` and `μ` on `E` if the push-forward measure of `ℙ` along `X`
is absolutely continuous with respect to `μ` and they `HaveLebesgueDecomposition`.
* `MeasureTheory.pdf` : If `X` is a random variable that `HasPDF X ℙ μ`, then `pdf X`
is the Radon–Nikodym derivative of the push-forward measure of `ℙ` along `X` with respect to `μ`.
* `MeasureTheory.pdf.IsUniform` : A random variable `X` is said to follow the uniform
distribution if it has a constant probability density function with a compact, non-null support.
## Main results
* `MeasureTheory.pdf.integral_pdf_smul` : Law of the unconscious statistician,
i.e. if a random variable `X : Ω → E` has pdf `f`, then `𝔼(g(X)) = ∫ x, f x • g x dx` for
all measurable `g : E → F`.
* `MeasureTheory.pdf.integral_mul_eq_integral` : A real-valued random variable `X` with
pdf `f` has expectation `∫ x, x * f x dx`.
* `MeasureTheory.pdf.IsUniform.integral_eq` : If `X` follows the uniform distribution with
its pdf having support `s`, then `X` has expectation `(λ s)⁻¹ * ∫ x in s, x dx` where `λ`
is the Lebesgue measure.
## TODO
Ultimately, we would also like to define characteristic functions to describe distributions as
it exists for all random variables. However, to define this, we will need Fourier transforms
which we currently do not have.
-/
open scoped MeasureTheory NNReal ENNReal
open TopologicalSpace MeasureTheory.Measure
noncomputable section
namespace MeasureTheory
variable {Ω E : Type*} [MeasurableSpace E]
/-- A random variable `X : Ω → E` is said to have a probability density function (`HasPDF`)
with respect to the measure `ℙ` on `Ω` and `μ` on `E`
if the push-forward measure of `ℙ` along `X` is absolutely continuous with respect to `μ`
and they have a Lebesgue decomposition (`HaveLebesgueDecomposition`). -/
class HasPDF {m : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω) (μ : Measure E := by volume_tac) :
Prop where
protected aemeasurable' : AEMeasurable X ℙ
protected haveLebesgueDecomposition' : (map X ℙ).HaveLebesgueDecomposition μ
protected absolutelyContinuous' : map X ℙ ≪ μ
section HasPDF
variable {_ : MeasurableSpace Ω} {X Y : Ω → E} {ℙ : Measure Ω} {μ : Measure E}
theorem hasPDF_iff :
HasPDF X ℙ μ ↔ AEMeasurable X ℙ ∧ (map X ℙ).HaveLebesgueDecomposition μ ∧ map X ℙ ≪ μ :=
⟨fun ⟨h₁, h₂, h₃⟩ ↦ ⟨h₁, h₂, h₃⟩, fun ⟨h₁, h₂, h₃⟩ ↦ ⟨h₁, h₂, h₃⟩⟩
theorem hasPDF_iff_of_aemeasurable (hX : AEMeasurable X ℙ) :
HasPDF X ℙ μ ↔ (map X ℙ).HaveLebesgueDecomposition μ ∧ map X ℙ ≪ μ := by
rw [hasPDF_iff]
simp only [hX, true_and]
variable (X ℙ μ) in
@[measurability]
theorem HasPDF.aemeasurable [HasPDF X ℙ μ] : AEMeasurable X ℙ := HasPDF.aemeasurable' μ
instance HasPDF.haveLebesgueDecomposition [HasPDF X ℙ μ] : (map X ℙ).HaveLebesgueDecomposition μ :=
HasPDF.haveLebesgueDecomposition'
theorem HasPDF.absolutelyContinuous [HasPDF X ℙ μ] : map X ℙ ≪ μ := HasPDF.absolutelyContinuous'
/-- A random variable that `HasPDF` is quasi-measure preserving. -/
theorem HasPDF.quasiMeasurePreserving_of_measurable (X : Ω → E) (ℙ : Measure Ω) (μ : Measure E)
[HasPDF X ℙ μ] (h : Measurable X) : QuasiMeasurePreserving X ℙ μ :=
{ measurable := h
absolutelyContinuous := HasPDF.absolutelyContinuous .. }
theorem HasPDF.congr (hXY : X =ᵐ[ℙ] Y) [hX : HasPDF X ℙ μ] : HasPDF Y ℙ μ :=
⟨(HasPDF.aemeasurable X ℙ μ).congr hXY, ℙ.map_congr hXY ▸ hX.haveLebesgueDecomposition,
ℙ.map_congr hXY ▸ hX.absolutelyContinuous⟩
theorem HasPDF.congr_iff (hXY : X =ᵐ[ℙ] Y) : HasPDF X ℙ μ ↔ HasPDF Y ℙ μ :=
⟨fun _ ↦ HasPDF.congr hXY, fun _ ↦ HasPDF.congr hXY.symm⟩
@[deprecated (since := "2024-10-28")] alias HasPDF.congr' := HasPDF.congr_iff
/-- X `HasPDF` if there is a pdf `f` such that `map X ℙ = μ.withDensity f`. -/
theorem hasPDF_of_map_eq_withDensity (hX : AEMeasurable X ℙ) (f : E → ℝ≥0∞) (hf : AEMeasurable f μ)
(h : map X ℙ = μ.withDensity f) : HasPDF X ℙ μ := by
refine ⟨hX, ?_, ?_⟩ <;> rw [h]
· rw [withDensity_congr_ae hf.ae_eq_mk]
exact haveLebesgueDecomposition_withDensity μ hf.measurable_mk
· exact withDensity_absolutelyContinuous μ f
end HasPDF
/-- If `X` is a random variable, then `pdf X ℙ μ`
is the Radon–Nikodym derivative of the push-forward measure of `ℙ` along `X` with respect to `μ`. -/
def pdf {_ : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω) (μ : Measure E := by volume_tac) :
E → ℝ≥0∞ :=
(map X ℙ).rnDeriv μ
theorem pdf_def {_ : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E} {X : Ω → E} :
pdf X ℙ μ = (map X ℙ).rnDeriv μ := rfl
theorem pdf_of_not_aemeasurable {_ : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E}
{X : Ω → E} (hX : ¬AEMeasurable X ℙ) : pdf X ℙ μ =ᵐ[μ] 0 := by
rw [pdf_def, map_of_not_aemeasurable hX]
exact rnDeriv_zero μ
theorem pdf_of_not_haveLebesgueDecomposition {_ : MeasurableSpace Ω} {ℙ : Measure Ω}
{μ : Measure E} {X : Ω → E} (h : ¬(map X ℙ).HaveLebesgueDecomposition μ) : pdf X ℙ μ = 0 :=
rnDeriv_of_not_haveLebesgueDecomposition h
theorem aemeasurable_of_pdf_ne_zero {m : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E}
(X : Ω → E) (h : ¬pdf X ℙ μ =ᵐ[μ] 0) : AEMeasurable X ℙ := by
contrapose! h
exact pdf_of_not_aemeasurable h
theorem hasPDF_of_pdf_ne_zero {m : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E} {X : Ω → E}
(hac : map X ℙ ≪ μ) (hpdf : ¬pdf X ℙ μ =ᵐ[μ] 0) : HasPDF X ℙ μ := by
refine ⟨?_, ?_, hac⟩
· exact aemeasurable_of_pdf_ne_zero X hpdf
· contrapose! hpdf
have := pdf_of_not_haveLebesgueDecomposition hpdf
filter_upwards using congrFun this
@[measurability]
theorem measurable_pdf {m : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω)
(μ : Measure E := by volume_tac) : Measurable (pdf X ℙ μ) := by
exact measurable_rnDeriv _ _
theorem withDensity_pdf_le_map {_ : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω)
(μ : Measure E := by volume_tac) : μ.withDensity (pdf X ℙ μ) ≤ map X ℙ :=
withDensity_rnDeriv_le _ _
theorem setLIntegral_pdf_le_map {m : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω)
(μ : Measure E := by volume_tac) (s : Set E) :
∫⁻ x in s, pdf X ℙ μ x ∂μ ≤ map X ℙ s := by
apply (withDensity_apply_le _ s).trans
exact withDensity_pdf_le_map _ _ _ s
theorem map_eq_withDensity_pdf {m : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω)
(μ : Measure E := by volume_tac) [hX : HasPDF X ℙ μ] :
map X ℙ = μ.withDensity (pdf X ℙ μ) := by
rw [pdf_def, withDensity_rnDeriv_eq _ _ hX.absolutelyContinuous]
theorem map_eq_setLIntegral_pdf {m : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω)
(μ : Measure E := by volume_tac) [hX : HasPDF X ℙ μ] {s : Set E}
(hs : MeasurableSet s) : map X ℙ s = ∫⁻ x in s, pdf X ℙ μ x ∂μ := by
rw [← withDensity_apply _ hs, map_eq_withDensity_pdf X ℙ μ]
namespace pdf
variable {m : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E}
protected theorem congr {X Y : Ω → E} (hXY : X =ᵐ[ℙ] Y) : pdf X ℙ μ = pdf Y ℙ μ := by
rw [pdf_def, pdf_def, map_congr hXY]
theorem lintegral_eq_measure_univ {X : Ω → E} [HasPDF X ℙ μ] :
∫⁻ x, pdf X ℙ μ x ∂μ = ℙ Set.univ := by
rw [← setLIntegral_univ, ← map_eq_setLIntegral_pdf X ℙ μ MeasurableSet.univ,
map_apply_of_aemeasurable (HasPDF.aemeasurable X ℙ μ) MeasurableSet.univ, Set.preimage_univ]
theorem eq_of_map_eq_withDensity [IsFiniteMeasure ℙ] {X : Ω → E} [HasPDF X ℙ μ] (f : E → ℝ≥0∞)
(hmf : AEMeasurable f μ) : map X ℙ = μ.withDensity f ↔ pdf X ℙ μ =ᵐ[μ] f := by
rw [map_eq_withDensity_pdf X ℙ μ]
apply withDensity_eq_iff (measurable_pdf X ℙ μ).aemeasurable hmf
| rw [lintegral_eq_measure_univ]
exact measure_ne_top _ _
theorem eq_of_map_eq_withDensity' [SigmaFinite μ] {X : Ω → E} [HasPDF X ℙ μ] (f : E → ℝ≥0∞)
| Mathlib/Probability/Density.lean | 192 | 195 |
/-
Copyright (c) 2023 Frédéric Dupuis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Frédéric Dupuis
-/
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.Algebra.Order.ToIntervalMod
import Mathlib.Analysis.SpecialFunctions.Log.Base
/-!
# Akra-Bazzi theorem: The polynomial growth condition
This file defines and develops an API for the polynomial growth condition that appears in the
statement of the Akra-Bazzi theorem: for the Akra-Bazzi theorem to hold, the function `g` must
satisfy the condition that `c₁ g(n) ≤ g(u) ≤ c₂ g(n)`, for u between b*n and n for any constant
`b ∈ (0,1)`.
## Implementation notes
Our definition states that the condition must hold for any `b ∈ (0,1)`. This is equivalent to
only requiring it for `b = 1/2` or any other particular value between 0 and 1. While this
could in principle make it harder to prove that a particular function grows polynomially,
this issue doesn't seem to arise in practice.
-/
open Finset Real Filter Asymptotics
open scoped Topology
namespace AkraBazziRecurrence
/-- The growth condition that the function `g` must satisfy for the Akra-Bazzi theorem to apply.
It roughly states that `c₁ g(n) ≤ g(u) ≤ c₂ g(n)`, for `u` between `b*n` and `n` for any
constant `b ∈ (0,1)`. -/
def GrowsPolynomially (f : ℝ → ℝ) : Prop :=
∀ b ∈ Set.Ioo 0 1, ∃ c₁ > 0, ∃ c₂ > 0,
∀ᶠ x in atTop, ∀ u ∈ Set.Icc (b * x) x, f u ∈ Set.Icc (c₁ * (f x)) (c₂ * f x)
namespace GrowsPolynomially
lemma congr_of_eventuallyEq {f g : ℝ → ℝ} (hfg : f =ᶠ[atTop] g) (hg : GrowsPolynomially g) :
GrowsPolynomially f := by
intro b hb
have hg' := hg b hb
obtain ⟨c₁, hc₁_mem, c₂, hc₂_mem, hg'⟩ := hg'
refine ⟨c₁, hc₁_mem, c₂, hc₂_mem, ?_⟩
filter_upwards [hg', (tendsto_id.const_mul_atTop hb.1).eventually_forall_ge_atTop hfg, hfg]
with x hx₁ hx₂ hx₃
intro u hu
rw [hx₂ u hu.1, hx₃]
exact hx₁ u hu
lemma iff_eventuallyEq {f g : ℝ → ℝ} (h : f =ᶠ[atTop] g) :
GrowsPolynomially f ↔ GrowsPolynomially g :=
⟨fun hf => congr_of_eventuallyEq h.symm hf, fun hg => congr_of_eventuallyEq h hg⟩
variable {f : ℝ → ℝ}
lemma eventually_atTop_le {b : ℝ} (hb : b ∈ Set.Ioo 0 1) (hf : GrowsPolynomially f) :
∃ c > 0, ∀ᶠ x in atTop, ∀ u ∈ Set.Icc (b * x) x, f u ≤ c * f x := by
obtain ⟨c₁, _, c₂, hc₂, h⟩ := hf b hb
refine ⟨c₂, hc₂, ?_⟩
filter_upwards [h]
exact fun _ H u hu => (H u hu).2
lemma eventually_atTop_le_nat {b : ℝ} (hb : b ∈ Set.Ioo 0 1) (hf : GrowsPolynomially f) :
∃ c > 0, ∀ᶠ (n : ℕ) in atTop, ∀ u ∈ Set.Icc (b * n) n, f u ≤ c * f n := by
obtain ⟨c, hc_mem, hc⟩ := hf.eventually_atTop_le hb
exact ⟨c, hc_mem, hc.natCast_atTop⟩
lemma eventually_atTop_ge {b : ℝ} (hb : b ∈ Set.Ioo 0 1) (hf : GrowsPolynomially f) :
∃ c > 0, ∀ᶠ x in atTop, ∀ u ∈ Set.Icc (b * x) x, c * f x ≤ f u := by
obtain ⟨c₁, hc₁, c₂, _, h⟩ := hf b hb
refine ⟨c₁, hc₁, ?_⟩
filter_upwards [h]
exact fun _ H u hu => (H u hu).1
lemma eventually_atTop_ge_nat {b : ℝ} (hb : b ∈ Set.Ioo 0 1) (hf : GrowsPolynomially f) :
∃ c > 0, ∀ᶠ (n : ℕ) in atTop, ∀ u ∈ Set.Icc (b * n) n, c * f n ≤ f u := by
obtain ⟨c, hc_mem, hc⟩ := hf.eventually_atTop_ge hb
exact ⟨c, hc_mem, hc.natCast_atTop⟩
lemma eventually_zero_of_frequently_zero (hf : GrowsPolynomially f) (hf' : ∃ᶠ x in atTop, f x = 0) :
∀ᶠ x in atTop, f x = 0 := by
obtain ⟨c₁, hc₁_mem, c₂, hc₂_mem, hf⟩ := hf (1/2) (by norm_num)
rw [frequently_atTop] at hf'
filter_upwards [eventually_forall_ge_atTop.mpr hf, eventually_gt_atTop 0] with x hx hx_pos
obtain ⟨x₀, hx₀_ge, hx₀⟩ := hf' (max x 1)
have x₀_pos := calc
0 < 1 := by norm_num
_ ≤ x₀ := le_of_max_le_right hx₀_ge
have hmain : ∀ (m : ℕ) (z : ℝ), x ≤ z →
z ∈ Set.Icc ((2 : ℝ)^(-(m : ℤ) -1) * x₀) ((2 : ℝ)^(-(m : ℤ)) * x₀) → f z = 0 := by
intro m
induction m with
| zero =>
simp only [CharP.cast_eq_zero, neg_zero, zero_sub, zpow_zero, one_mul] at *
specialize hx x₀ (le_of_max_le_left hx₀_ge)
simp only [hx₀, mul_zero, Set.Icc_self, Set.mem_singleton_iff] at hx
refine fun z _ hz => hx _ ?_
simp only [zpow_neg, zpow_one] at hz
simp only [one_div, hz]
| succ k ih =>
intro z hxz hz
simp only [Nat.succ_eq_add_one, Nat.cast_add, Nat.cast_one] at *
have hx' : x ≤ (2 : ℝ)^(-(k : ℤ) - 1) * x₀ := by
calc x ≤ z := hxz
_ ≤ _ := by simp only [neg_add, ← sub_eq_add_neg] at hz; exact hz.2
specialize hx ((2 : ℝ)^(-(k : ℤ) - 1) * x₀) hx' z
specialize ih ((2 : ℝ)^(-(k : ℤ) - 1) * x₀) hx' ?ineq
case ineq =>
rw [Set.left_mem_Icc]
gcongr
· norm_num
· omega
simp only [ih, mul_zero, Set.Icc_self, Set.mem_singleton_iff] at hx
refine hx ⟨?lb₁, ?ub₁⟩
case lb₁ =>
rw [one_div, ← zpow_neg_one, ← mul_assoc, ← zpow_add₀ (by norm_num)]
have h₁ : (-1 : ℤ) + (-k - 1) = -k - 2 := by ring
have h₂ : -(k + (1 : ℤ)) - 1 = -k - 2 := by ring
rw [h₁]
rw [h₂] at hz
exact hz.1
case ub₁ =>
have := hz.2
simp only [neg_add, ← sub_eq_add_neg] at this
exact this
refine hmain ⌊-logb 2 (x / x₀)⌋₊ x le_rfl ⟨?lb, ?ub⟩
case lb =>
rw [← le_div_iff₀ x₀_pos]
refine (logb_le_logb (b := 2) (by norm_num) (zpow_pos (by norm_num) _)
(by positivity)).mp ?_
rw [← rpow_intCast, logb_rpow (by norm_num) (by norm_num), ← neg_le_neg_iff]
simp only [Int.cast_sub, Int.cast_neg, Int.cast_natCast, Int.cast_one, neg_sub, sub_neg_eq_add]
calc -logb 2 (x/x₀) ≤ ⌈-logb 2 (x/x₀)⌉₊ := Nat.le_ceil (-logb 2 (x / x₀))
_ ≤ _ := by rw [add_comm]; exact_mod_cast Nat.ceil_le_floor_add_one _
case ub =>
rw [← div_le_iff₀ x₀_pos]
refine (logb_le_logb (b := 2) (by norm_num) (by positivity)
(zpow_pos (by norm_num) _)).mp ?_
rw [← rpow_intCast, logb_rpow (by norm_num) (by norm_num), ← neg_le_neg_iff]
simp only [Int.cast_neg, Int.cast_natCast, neg_neg]
have : 0 ≤ -logb 2 (x / x₀) := by
rw [neg_nonneg]
refine logb_nonpos (by norm_num) (by positivity) ?_
rw [div_le_one x₀_pos]
exact le_of_max_le_left hx₀_ge
exact_mod_cast Nat.floor_le this
lemma eventually_atTop_nonneg_or_nonpos (hf : GrowsPolynomially f) :
(∀ᶠ x in atTop, 0 ≤ f x) ∨ (∀ᶠ x in atTop, f x ≤ 0) := by
obtain ⟨c₁, _, c₂, _, h⟩ := hf (1/2) (by norm_num)
match lt_trichotomy c₁ c₂ with
| .inl hlt => -- c₁ < c₂
left
filter_upwards [h, eventually_ge_atTop 0] with x hx hx_nonneg
have h' : 3 / 4 * x ∈ Set.Icc (1 / 2 * x) x := by
rw [Set.mem_Icc]
exact ⟨by gcongr ?_ * x; norm_num, by linarith⟩
have hu := hx (3/4 * x) h'
have hu := Set.nonempty_of_mem hu
rw [Set.nonempty_Icc] at hu
have hu' : 0 ≤ (c₂ - c₁) * f x := by linarith
exact nonneg_of_mul_nonneg_right hu' (by linarith)
| .inr (.inr hgt) => -- c₂ < c₁
right
filter_upwards [h, eventually_ge_atTop 0] with x hx hx_nonneg
have h' : 3 / 4 * x ∈ Set.Icc (1 / 2 * x) x := by
rw [Set.mem_Icc]
exact ⟨by gcongr ?_ * x; norm_num, by linarith⟩
have hu := hx (3/4 * x) h'
have hu := Set.nonempty_of_mem hu
rw [Set.nonempty_Icc] at hu
have hu' : (c₁ - c₂) * f x ≤ 0 := by linarith
exact nonpos_of_mul_nonpos_right hu' (by linarith)
| .inr (.inl heq) => -- c₁ = c₂
have hmain : ∃ c, ∀ᶠ x in atTop, f x = c := by
simp only [heq, Set.Icc_self, Set.mem_singleton_iff, one_mul] at h
rw [eventually_atTop] at h
obtain ⟨n₀, hn₀⟩ := h
refine ⟨f (max n₀ 2), ?_⟩
rw [eventually_atTop]
refine ⟨max n₀ 2, ?_⟩
refine Real.induction_Ico_mul _ 2 (by norm_num) (by positivity) ?base ?step
case base =>
intro x ⟨hxlb, hxub⟩
have h₁ := calc n₀ ≤ 1 * max n₀ 2 := by simp
_ ≤ 2 * max n₀ 2 := by gcongr; norm_num
have h₂ := hn₀ (2 * max n₀ 2) h₁ (max n₀ 2) ⟨by simp [hxlb], by linarith⟩
rw [h₂]
exact hn₀ (2 * max n₀ 2) h₁ x ⟨by simp [hxlb], le_of_lt hxub⟩
case step =>
intro n hn hyp_ind z hz
have z_nonneg : 0 ≤ z := by
calc (0 : ℝ) ≤ (2 : ℝ)^n * max n₀ 2 := by
exact mul_nonneg (pow_nonneg (by norm_num) _) (by norm_num)
_ ≤ z := by exact_mod_cast hz.1
have le_2n : max n₀ 2 ≤ (2 : ℝ)^n * max n₀ 2 := by
nth_rewrite 1 [← one_mul (max n₀ 2)]
gcongr
exact one_le_pow₀ (by norm_num : (1 : ℝ) ≤ 2)
have n₀_le_z : n₀ ≤ z := by
calc n₀ ≤ max n₀ 2 := by simp
_ ≤ (2 : ℝ)^n * max n₀ 2 := le_2n
_ ≤ _ := by exact_mod_cast hz.1
have fz_eq_c₂fz : f z = c₂ * f z := hn₀ z n₀_le_z z ⟨by linarith, le_rfl⟩
have z_to_half_z' : f (1/2 * z) = c₂ * f z := hn₀ z n₀_le_z (1/2 * z) ⟨le_rfl, by linarith⟩
have z_to_half_z : f (1/2 * z) = f z := by rwa [← fz_eq_c₂fz] at z_to_half_z'
have half_z_to_base : f (1/2 * z) = f (max n₀ 2) := by
refine hyp_ind (1/2 * z) ⟨?lb, ?ub⟩
case lb =>
calc max n₀ 2 ≤ ((1 : ℝ)/(2 : ℝ)) * (2 : ℝ) ^ 1 * max n₀ 2 := by simp
_ ≤ ((1 : ℝ)/(2 : ℝ)) * (2 : ℝ) ^ n * max n₀ 2 := by gcongr; norm_num
_ ≤ _ := by rw [mul_assoc]; gcongr; exact_mod_cast hz.1
case ub =>
have h₁ : (2 : ℝ)^n = ((1 : ℝ)/(2 : ℝ)) * (2 : ℝ)^(n+1) := by
rw [one_div, pow_add, pow_one]
ring
rw [h₁, mul_assoc]
gcongr
exact_mod_cast hz.2
rw [← z_to_half_z, half_z_to_base]
obtain ⟨c, hc⟩ := hmain
cases le_or_lt 0 c with
| inl hpos =>
exact Or.inl <| by filter_upwards [hc] with _ hc; simpa only [hc]
| inr hneg =>
right
filter_upwards [hc] with x hc
exact le_of_lt <| by simpa only [hc]
lemma eventually_atTop_zero_or_pos_or_neg (hf : GrowsPolynomially f) :
(∀ᶠ x in atTop, f x = 0) ∨ (∀ᶠ x in atTop, 0 < f x) ∨ (∀ᶠ x in atTop, f x < 0) := by
if h : ∃ᶠ x in atTop, f x = 0 then
exact Or.inl <| eventually_zero_of_frequently_zero hf h
else
rw [not_frequently] at h
push_neg at h
cases eventually_atTop_nonneg_or_nonpos hf with
| inl h' =>
refine Or.inr (Or.inl ?_)
simp only [lt_iff_le_and_ne]
rw [eventually_and]
exact ⟨h', by filter_upwards [h] with x hx; exact hx.symm⟩
| inr h' =>
refine Or.inr (Or.inr ?_)
simp only [lt_iff_le_and_ne]
rw [eventually_and]
exact ⟨h', h⟩
protected lemma neg {f : ℝ → ℝ} (hf : GrowsPolynomially f) : GrowsPolynomially (-f) := by
intro b hb
obtain ⟨c₁, hc₁_mem, c₂, hc₂_mem, hf⟩ := hf b hb
refine ⟨c₂, hc₂_mem, c₁, hc₁_mem, ?_⟩
filter_upwards [hf] with x hx
intro u hu
simp only [Pi.neg_apply, Set.neg_mem_Icc_iff, neg_mul_eq_mul_neg, neg_neg]
exact hx u hu
protected lemma neg_iff {f : ℝ → ℝ} : GrowsPolynomially f ↔ GrowsPolynomially (-f) :=
⟨fun hf => hf.neg, fun hf => by rw [← neg_neg f]; exact hf.neg⟩
protected lemma abs (hf : GrowsPolynomially f) : GrowsPolynomially (fun x => |f x|) := by
cases eventually_atTop_nonneg_or_nonpos hf with
| inl hf' =>
have hmain : f =ᶠ[atTop] fun x => |f x| := by
filter_upwards [hf'] with x hx
rw [abs_of_nonneg hx]
rw [← iff_eventuallyEq hmain]
exact hf
| inr hf' =>
have hmain : -f =ᶠ[atTop] fun x => |f x| := by
filter_upwards [hf'] with x hx
simp only [Pi.neg_apply, abs_of_nonpos hx]
rw [← iff_eventuallyEq hmain]
exact hf.neg
protected lemma norm (hf : GrowsPolynomially f) : GrowsPolynomially (fun x => ‖f x‖) := by
simp only [norm_eq_abs]
exact hf.abs
end GrowsPolynomially
variable {f : ℝ → ℝ}
lemma growsPolynomially_const {c : ℝ} : GrowsPolynomially (fun _ => c) := by
refine fun _ _ => ⟨1, by norm_num, 1, by norm_num, ?_⟩
filter_upwards [] with x
simp
| lemma growsPolynomially_id : GrowsPolynomially (fun x => x) := by
intro b hb
refine ⟨b, hb.1, ?_⟩
refine ⟨1, by norm_num, ?_⟩
filter_upwards with x u hu
simp only [one_mul, gt_iff_lt, not_le, Set.mem_Icc]
exact ⟨hu.1, hu.2⟩
| Mathlib/Computability/AkraBazzi/GrowsPolynomially.lean | 295 | 301 |
/-
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.Convex.Between
import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.Topology.MetricSpace.Holder
import Mathlib.Topology.MetricSpace.MetricSeparated
/-!
# Hausdorff measure and metric (outer) measures
In this file we define the `d`-dimensional Hausdorff measure on an (extended) metric space `X` and
the Hausdorff dimension of a set in an (extended) metric space. Let `μ d δ` be the maximal outer
measure such that `μ d δ s ≤ (EMetric.diam s) ^ d` for every set of diameter less than `δ`. Then
the Hausdorff measure `μH[d] s` of `s` is defined as `⨆ δ > 0, μ d δ s`. By Caratheodory theorem
`MeasureTheory.OuterMeasure.IsMetric.borel_le_caratheodory`, this is a Borel measure on `X`.
The value of `μH[d]`, `d > 0`, on a set `s` (measurable or not) is given by
```
μH[d] s = ⨆ (r : ℝ≥0∞) (hr : 0 < r), ⨅ (t : ℕ → Set X) (hts : s ⊆ ⋃ n, t n)
(ht : ∀ n, EMetric.diam (t n) ≤ r), ∑' n, EMetric.diam (t n) ^ d
```
For every set `s` for any `d < d'` we have either `μH[d] s = ∞` or `μH[d'] s = 0`, see
`MeasureTheory.Measure.hausdorffMeasure_zero_or_top`. In
`Mathlib.Topology.MetricSpace.HausdorffDimension` we use this fact to define the Hausdorff dimension
`dimH` of a set in an (extended) metric space.
We also define two generalizations of the Hausdorff measure. In one generalization (see
`MeasureTheory.Measure.mkMetric`) we take any function `m (diam s)` instead of `(diam s) ^ d`. In
an even more general definition (see `MeasureTheory.Measure.mkMetric'`) we use any function
of `m : Set X → ℝ≥0∞`. Some authors start with a partial function `m` defined only on some sets
`s : Set X` (e.g., only on balls or only on measurable sets). This is equivalent to our definition
applied to `MeasureTheory.extend m`.
We also define a predicate `MeasureTheory.OuterMeasure.IsMetric` which says that an outer measure
is additive on metric separated pairs of sets: `μ (s ∪ t) = μ s + μ t` provided that
`⨅ (x ∈ s) (y ∈ t), edist x y ≠ 0`. This is the property required for the Caratheodory theorem
`MeasureTheory.OuterMeasure.IsMetric.borel_le_caratheodory`, so we prove this theorem for any
metric outer measure, then prove that outer measures constructed using `mkMetric'` are metric outer
measures.
## Main definitions
* `MeasureTheory.OuterMeasure.IsMetric`: an outer measure `μ` is called *metric* if
`μ (s ∪ t) = μ s + μ t` for any two metric separated sets `s` and `t`. A metric outer measure in a
Borel extended metric space is guaranteed to satisfy the Caratheodory condition, see
`MeasureTheory.OuterMeasure.IsMetric.borel_le_caratheodory`.
* `MeasureTheory.OuterMeasure.mkMetric'` and its particular case
`MeasureTheory.OuterMeasure.mkMetric`: a construction of an outer measure that is guaranteed to
be metric. Both constructions are generalizations of the Hausdorff measure. The same measures
interpreted as Borel measures are called `MeasureTheory.Measure.mkMetric'` and
`MeasureTheory.Measure.mkMetric`.
* `MeasureTheory.Measure.hausdorffMeasure` a.k.a. `μH[d]`: the `d`-dimensional Hausdorff measure.
There are many definitions of the Hausdorff measure that differ from each other by a
multiplicative constant. We put
`μH[d] s = ⨆ r > 0, ⨅ (t : ℕ → Set X) (hts : s ⊆ ⋃ n, t n) (ht : ∀ n, EMetric.diam (t n) ≤ r),
∑' n, ⨆ (ht : ¬Set.Subsingleton (t n)), (EMetric.diam (t n)) ^ d`,
see `MeasureTheory.Measure.hausdorffMeasure_apply`. In the most interesting case `0 < d` one
can omit the `⨆ (ht : ¬Set.Subsingleton (t n))` part.
## Main statements
### Basic properties
* `MeasureTheory.OuterMeasure.IsMetric.borel_le_caratheodory`: if `μ` is a metric outer measure
on an extended metric space `X` (that is, it is additive on pairs of metric separated sets), then
every Borel set is Caratheodory measurable (hence, `μ` defines an actual
`MeasureTheory.Measure`). See also `MeasureTheory.Measure.mkMetric`.
* `MeasureTheory.Measure.hausdorffMeasure_mono`: `μH[d] s` is an antitone function
of `d`.
* `MeasureTheory.Measure.hausdorffMeasure_zero_or_top`: if `d₁ < d₂`, then for any `s`, either
`μH[d₂] s = 0` or `μH[d₁] s = ∞`. Together with the previous lemma, this means that `μH[d] s` is
equal to infinity on some ray `(-∞, D)` and is equal to zero on `(D, +∞)`, where `D` is a possibly
infinite number called the *Hausdorff dimension* of `s`; `μH[D] s` can be zero, infinity, or
anything in between.
* `MeasureTheory.Measure.noAtoms_hausdorff`: Hausdorff measure has no atoms.
### Hausdorff measure in `ℝⁿ`
* `MeasureTheory.hausdorffMeasure_pi_real`: for a nonempty `ι`, `μH[card ι]` on `ι → ℝ` equals
Lebesgue measure.
## Notations
We use the following notation localized in `MeasureTheory`.
- `μH[d]` : `MeasureTheory.Measure.hausdorffMeasure d`
## Implementation notes
There are a few similar constructions called the `d`-dimensional Hausdorff measure. E.g., some
sources only allow coverings by balls and use `r ^ d` instead of `(diam s) ^ d`. While these
construction lead to different Hausdorff measures, they lead to the same notion of the Hausdorff
dimension.
## References
* [Herbert Federer, Geometric Measure Theory, Chapter 2.10][Federer1996]
## Tags
Hausdorff measure, measure, metric measure
-/
open scoped NNReal ENNReal Topology
open EMetric Set Function Filter Encodable Module TopologicalSpace
noncomputable section
variable {ι X Y : Type*} [EMetricSpace X] [EMetricSpace Y]
namespace MeasureTheory
namespace OuterMeasure
/-!
### Metric outer measures
In this section we define metric outer measures and prove Caratheodory theorem: a metric outer
measure has the Caratheodory property.
-/
/-- We say that an outer measure `μ` in an (e)metric space is *metric* if `μ (s ∪ t) = μ s + μ t`
for any two metric separated sets `s`, `t`. -/
def IsMetric (μ : OuterMeasure X) : Prop :=
∀ s t : Set X, Metric.AreSeparated s t → μ (s ∪ t) = μ s + μ t
namespace IsMetric
variable {μ : OuterMeasure X}
/-- A metric outer measure is additive on a finite set of pairwise metric separated sets. -/
theorem finset_iUnion_of_pairwise_separated (hm : IsMetric μ) {I : Finset ι} {s : ι → Set X}
(hI : ∀ i ∈ I, ∀ j ∈ I, i ≠ j → Metric.AreSeparated (s i) (s j)) :
μ (⋃ i ∈ I, s i) = ∑ i ∈ I, μ (s i) := by
classical
induction I using Finset.induction_on with
| empty => simp
| insert i I hiI ihI =>
simp only [Finset.mem_insert] at hI
rw [Finset.set_biUnion_insert, hm, ihI, Finset.sum_insert hiI]
exacts [fun i hi j hj hij => hI i (Or.inr hi) j (Or.inr hj) hij,
Metric.AreSeparated.finset_iUnion_right fun j hj =>
hI i (Or.inl rfl) j (Or.inr hj) (ne_of_mem_of_not_mem hj hiI).symm]
/-- Caratheodory theorem. If `m` is a metric outer measure, then every Borel measurable set `t` is
Caratheodory measurable: for any (not necessarily measurable) set `s` we have
`μ (s ∩ t) + μ (s \ t) = μ s`. -/
theorem borel_le_caratheodory (hm : IsMetric μ) : borel X ≤ μ.caratheodory := by
rw [borel_eq_generateFrom_isClosed]
refine MeasurableSpace.generateFrom_le fun t ht => μ.isCaratheodory_iff_le.2 fun s => ?_
set S : ℕ → Set X := fun n => {x ∈ s | (↑n)⁻¹ ≤ infEdist x t}
have Ssep (n) : Metric.AreSeparated (S n) t :=
⟨n⁻¹, ENNReal.inv_ne_zero.2 (ENNReal.natCast_ne_top _),
fun x hx y hy ↦ hx.2.trans <| infEdist_le_edist_of_mem hy⟩
have Ssep' : ∀ n, Metric.AreSeparated (S n) (s ∩ t) := fun n =>
(Ssep n).mono Subset.rfl inter_subset_right
have S_sub : ∀ n, S n ⊆ s \ t := fun n =>
subset_inter inter_subset_left (Ssep n).subset_compl_right
have hSs : ∀ n, μ (s ∩ t) + μ (S n) ≤ μ s := fun n =>
calc
μ (s ∩ t) + μ (S n) = μ (s ∩ t ∪ S n) := Eq.symm <| hm _ _ <| (Ssep' n).symm
_ ≤ μ (s ∩ t ∪ s \ t) := μ.mono <| union_subset_union_right _ <| S_sub n
_ = μ s := by rw [inter_union_diff]
have iUnion_S : ⋃ n, S n = s \ t := by
refine Subset.antisymm (iUnion_subset S_sub) ?_
rintro x ⟨hxs, hxt⟩
rw [mem_iff_infEdist_zero_of_closed ht] at hxt
rcases ENNReal.exists_inv_nat_lt hxt with ⟨n, hn⟩
exact mem_iUnion.2 ⟨n, hxs, hn.le⟩
/- Now we have `∀ n, μ (s ∩ t) + μ (S n) ≤ μ s` and we need to prove
`μ (s ∩ t) + μ (⋃ n, S n) ≤ μ s`. We can't pass to the limit because
`μ` is only an outer measure. -/
by_cases htop : μ (s \ t) = ∞
· rw [htop, add_top, ← htop]
exact μ.mono diff_subset
suffices μ (⋃ n, S n) ≤ ⨆ n, μ (S n) by calc
μ (s ∩ t) + μ (s \ t) = μ (s ∩ t) + μ (⋃ n, S n) := by rw [iUnion_S]
_ ≤ μ (s ∩ t) + ⨆ n, μ (S n) := by gcongr
_ = ⨆ n, μ (s ∩ t) + μ (S n) := ENNReal.add_iSup ..
_ ≤ μ s := iSup_le hSs
/- It suffices to show that `∑' k, μ (S (k + 1) \ S k) ≠ ∞`. Indeed, if we have this,
then for all `N` we have `μ (⋃ n, S n) ≤ μ (S N) + ∑' k, m (S (N + k + 1) \ S (N + k))`
and the second term tends to zero, see `OuterMeasure.iUnion_nat_of_monotone_of_tsum_ne_top`
for details. -/
have : ∀ n, S n ⊆ S (n + 1) := fun n x hx =>
⟨hx.1, le_trans (ENNReal.inv_le_inv.2 <| Nat.cast_le.2 n.le_succ) hx.2⟩
refine (μ.iUnion_nat_of_monotone_of_tsum_ne_top this ?_).le; clear this
/- While the sets `S (k + 1) \ S k` are not pairwise metric separated, the sets in each
subsequence `S (2 * k + 1) \ S (2 * k)` and `S (2 * k + 2) \ S (2 * k)` are metric separated,
so `m` is additive on each of those sequences. -/
rw [← tsum_even_add_odd ENNReal.summable ENNReal.summable, ENNReal.add_ne_top]
suffices ∀ a, (∑' k : ℕ, μ (S (2 * k + 1 + a) \ S (2 * k + a))) ≠ ∞ from
⟨by simpa using this 0, by simpa using this 1⟩
refine fun r => ne_top_of_le_ne_top htop ?_
rw [← iUnion_S, ENNReal.tsum_eq_iSup_nat, iSup_le_iff]
intro n
rw [← hm.finset_iUnion_of_pairwise_separated]
· exact μ.mono (iUnion_subset fun i => iUnion_subset fun _ x hx => mem_iUnion.2 ⟨_, hx.1⟩)
suffices ∀ i j, i < j → Metric.AreSeparated (S (2 * i + 1 + r)) (s \ S (2 * j + r)) from
fun i _ j _ hij => hij.lt_or_lt.elim
(fun h => (this i j h).mono inter_subset_left fun x hx => by exact ⟨hx.1.1, hx.2⟩)
fun h => (this j i h).symm.mono (fun x hx => by exact ⟨hx.1.1, hx.2⟩) inter_subset_left
intro i j hj
have A : ((↑(2 * j + r))⁻¹ : ℝ≥0∞) < (↑(2 * i + 1 + r))⁻¹ := by
rw [ENNReal.inv_lt_inv, Nat.cast_lt]; omega
refine ⟨(↑(2 * i + 1 + r))⁻¹ - (↑(2 * j + r))⁻¹, by simpa [tsub_eq_zero_iff_le] using A,
fun x hx y hy => ?_⟩
have : infEdist y t < (↑(2 * j + r))⁻¹ := not_le.1 fun hle => hy.2 ⟨hy.1, hle⟩
rcases infEdist_lt_iff.mp this with ⟨z, hzt, hyz⟩
have hxz : (↑(2 * i + 1 + r))⁻¹ ≤ edist x z := le_infEdist.1 hx.2 _ hzt
apply ENNReal.le_of_add_le_add_right hyz.ne_top
refine le_trans ?_ (edist_triangle _ _ _)
refine (add_le_add le_rfl hyz.le).trans (Eq.trans_le ?_ hxz)
rw [tsub_add_cancel_of_le A.le]
theorem le_caratheodory [MeasurableSpace X] [BorelSpace X] (hm : IsMetric μ) :
‹MeasurableSpace X› ≤ μ.caratheodory := by
rw [BorelSpace.measurable_eq (α := X)]
exact hm.borel_le_caratheodory
end IsMetric
/-!
### Constructors of metric outer measures
In this section we provide constructors `MeasureTheory.OuterMeasure.mkMetric'` and
`MeasureTheory.OuterMeasure.mkMetric` and prove that these outer measures are metric outer
measures. We also prove basic lemmas about `map`/`comap` of these measures.
-/
/-- Auxiliary definition for `OuterMeasure.mkMetric'`: given a function on sets
`m : Set X → ℝ≥0∞`, returns the maximal outer measure `μ` such that `μ s ≤ m s`
for any set `s` of diameter at most `r`. -/
def mkMetric'.pre (m : Set X → ℝ≥0∞) (r : ℝ≥0∞) : OuterMeasure X :=
boundedBy <| extend fun s (_ : diam s ≤ r) => m s
/-- Given a function `m : Set X → ℝ≥0∞`, `mkMetric' m` is the supremum of `mkMetric'.pre m r`
over `r > 0`. Equivalently, it is the limit of `mkMetric'.pre m r` as `r` tends to zero from
the right. -/
def mkMetric' (m : Set X → ℝ≥0∞) : OuterMeasure X :=
⨆ r > 0, mkMetric'.pre m r
/-- Given a function `m : ℝ≥0∞ → ℝ≥0∞` and `r > 0`, let `μ r` be the maximal outer measure such that
`μ s ≤ m (EMetric.diam s)` whenever `EMetric.diam s < r`. Then `mkMetric m = ⨆ r > 0, μ r`. -/
def mkMetric (m : ℝ≥0∞ → ℝ≥0∞) : OuterMeasure X :=
mkMetric' fun s => m (diam s)
namespace mkMetric'
variable {m : Set X → ℝ≥0∞} {r : ℝ≥0∞} {μ : OuterMeasure X} {s : Set X}
theorem le_pre : μ ≤ pre m r ↔ ∀ s : Set X, diam s ≤ r → μ s ≤ m s := by
simp only [pre, le_boundedBy, extend, le_iInf_iff]
theorem pre_le (hs : diam s ≤ r) : pre m r s ≤ m s :=
(boundedBy_le _).trans <| iInf_le _ hs
theorem mono_pre (m : Set X → ℝ≥0∞) {r r' : ℝ≥0∞} (h : r ≤ r') : pre m r' ≤ pre m r :=
le_pre.2 fun _ hs => pre_le (hs.trans h)
theorem mono_pre_nat (m : Set X → ℝ≥0∞) : Monotone fun k : ℕ => pre m k⁻¹ :=
fun k l h => le_pre.2 fun _ hs => pre_le (hs.trans <| by simpa)
theorem tendsto_pre (m : Set X → ℝ≥0∞) (s : Set X) :
Tendsto (fun r => pre m r s) (𝓝[>] 0) (𝓝 <| mkMetric' m s) := by
rw [← map_coe_Ioi_atBot, tendsto_map'_iff]
simp only [mkMetric', OuterMeasure.iSup_apply, iSup_subtype']
exact tendsto_atBot_iSup fun r r' hr => mono_pre _ hr _
theorem tendsto_pre_nat (m : Set X → ℝ≥0∞) (s : Set X) :
Tendsto (fun n : ℕ => pre m n⁻¹ s) atTop (𝓝 <| mkMetric' m s) := by
refine (tendsto_pre m s).comp (tendsto_inf.2 ⟨ENNReal.tendsto_inv_nat_nhds_zero, ?_⟩)
refine tendsto_principal.2 (Eventually.of_forall fun n => ?_)
simp
theorem eq_iSup_nat (m : Set X → ℝ≥0∞) : mkMetric' m = ⨆ n : ℕ, mkMetric'.pre m n⁻¹ := by
ext1 s
rw [iSup_apply]
refine tendsto_nhds_unique (mkMetric'.tendsto_pre_nat m s)
(tendsto_atTop_iSup fun k l hkl => mkMetric'.mono_pre_nat m hkl s)
/-- `MeasureTheory.OuterMeasure.mkMetric'.pre m r` is a trimmed measure provided that
`m (closure s) = m s` for any set `s`. -/
theorem trim_pre [MeasurableSpace X] [OpensMeasurableSpace X] (m : Set X → ℝ≥0∞)
(hcl : ∀ s, m (closure s) = m s) (r : ℝ≥0∞) : (pre m r).trim = pre m r := by
refine le_antisymm (le_pre.2 fun s hs => ?_) (le_trim _)
rw [trim_eq_iInf]
refine iInf_le_of_le (closure s) <| iInf_le_of_le subset_closure <|
iInf_le_of_le measurableSet_closure ((pre_le ?_).trans_eq (hcl _))
rwa [diam_closure]
end mkMetric'
/-- An outer measure constructed using `OuterMeasure.mkMetric'` is a metric outer measure. -/
theorem mkMetric'_isMetric (m : Set X → ℝ≥0∞) : (mkMetric' m).IsMetric := by
rintro s t ⟨r, r0, hr⟩
refine tendsto_nhds_unique_of_eventuallyEq
(mkMetric'.tendsto_pre _ _) ((mkMetric'.tendsto_pre _ _).add (mkMetric'.tendsto_pre _ _)) ?_
rw [← pos_iff_ne_zero] at r0
filter_upwards [Ioo_mem_nhdsGT r0]
rintro ε ⟨_, εr⟩
refine boundedBy_union_of_top_of_nonempty_inter ?_
rintro u ⟨x, hxs, hxu⟩ ⟨y, hyt, hyu⟩
have : ε < diam u := εr.trans_le ((hr x hxs y hyt).trans <| edist_le_diam_of_mem hxu hyu)
exact iInf_eq_top.2 fun h => (this.not_le h).elim
/-- If `c ∉ {0, ∞}` and `m₁ d ≤ c * m₂ d` for `d < ε` for some `ε > 0`
(we use `≤ᶠ[𝓝[≥] 0]` to state this), then `mkMetric m₁ hm₁ ≤ c • mkMetric m₂ hm₂`. -/
theorem mkMetric_mono_smul {m₁ m₂ : ℝ≥0∞ → ℝ≥0∞} {c : ℝ≥0∞} (hc : c ≠ ∞) (h0 : c ≠ 0)
(hle : m₁ ≤ᶠ[𝓝[≥] 0] c • m₂) : (mkMetric m₁ : OuterMeasure X) ≤ c • mkMetric m₂ := by
classical
rcases (mem_nhdsGE_iff_exists_Ico_subset' zero_lt_one).1 hle with ⟨r, hr0, hr⟩
refine fun s =>
le_of_tendsto_of_tendsto (mkMetric'.tendsto_pre _ s)
(ENNReal.Tendsto.const_mul (mkMetric'.tendsto_pre _ s) (Or.inr hc))
(mem_of_superset (Ioo_mem_nhdsGT hr0) fun r' hr' => ?_)
simp only [mem_setOf_eq, mkMetric'.pre, RingHom.id_apply]
rw [← smul_eq_mul, ← smul_apply, smul_boundedBy hc]
refine le_boundedBy.2 (fun t => (boundedBy_le _).trans ?_) _
simp only [smul_eq_mul, Pi.smul_apply, extend, iInf_eq_if]
split_ifs with ht
· apply hr
exact ⟨zero_le _, ht.trans_lt hr'.2⟩
· simp [h0]
@[simp]
theorem mkMetric_top : (mkMetric (fun _ => ∞ : ℝ≥0∞ → ℝ≥0∞) : OuterMeasure X) = ⊤ := by
simp_rw [mkMetric, mkMetric', mkMetric'.pre, extend_top, boundedBy_top, eq_top_iff]
rw [le_iSup_iff]
intro b hb
simpa using hb ⊤
/-- If `m₁ d ≤ m₂ d` for `d < ε` for some `ε > 0` (we use `≤ᶠ[𝓝[≥] 0]` to state this), then
`mkMetric m₁ hm₁ ≤ mkMetric m₂ hm₂`. -/
theorem mkMetric_mono {m₁ m₂ : ℝ≥0∞ → ℝ≥0∞} (hle : m₁ ≤ᶠ[𝓝[≥] 0] m₂) :
(mkMetric m₁ : OuterMeasure X) ≤ mkMetric m₂ := by
convert @mkMetric_mono_smul X _ _ m₂ _ ENNReal.one_ne_top one_ne_zero _ <;> simp [*]
theorem isometry_comap_mkMetric (m : ℝ≥0∞ → ℝ≥0∞) {f : X → Y} (hf : Isometry f)
(H : Monotone m ∨ Surjective f) : comap f (mkMetric m) = mkMetric m := by
simp only [mkMetric, mkMetric', mkMetric'.pre, inducedOuterMeasure, comap_iSup]
refine surjective_id.iSup_congr id fun ε => surjective_id.iSup_congr id fun hε => ?_
rw [comap_boundedBy _ (H.imp _ id)]
· congr with s : 1
apply extend_congr
· simp [hf.ediam_image]
· intros; simp [hf.injective.subsingleton_image_iff, hf.ediam_image]
· intro h_mono s t hst
simp only [extend, le_iInf_iff]
intro ht
apply le_trans _ (h_mono (diam_mono hst))
simp only [(diam_mono hst).trans ht, le_refl, ciInf_pos]
theorem mkMetric_smul (m : ℝ≥0∞ → ℝ≥0∞) {c : ℝ≥0∞} (hc : c ≠ ∞) (hc' : c ≠ 0) :
(mkMetric (c • m) : OuterMeasure X) = c • mkMetric m := by
simp only [mkMetric, mkMetric', mkMetric'.pre, inducedOuterMeasure, ENNReal.smul_iSup]
simp_rw [smul_iSup, smul_boundedBy hc, smul_extend _ hc', Pi.smul_apply]
theorem mkMetric_nnreal_smul (m : ℝ≥0∞ → ℝ≥0∞) {c : ℝ≥0} (hc : c ≠ 0) :
(mkMetric (c • m) : OuterMeasure X) = c • mkMetric m := by
rw [ENNReal.smul_def, ENNReal.smul_def,
mkMetric_smul m ENNReal.coe_ne_top (ENNReal.coe_ne_zero.mpr hc)]
theorem isometry_map_mkMetric (m : ℝ≥0∞ → ℝ≥0∞) {f : X → Y} (hf : Isometry f)
(H : Monotone m ∨ Surjective f) : map f (mkMetric m) = restrict (range f) (mkMetric m) := by
rw [← isometry_comap_mkMetric _ hf H, map_comap]
theorem isometryEquiv_comap_mkMetric (m : ℝ≥0∞ → ℝ≥0∞) (f : X ≃ᵢ Y) :
comap f (mkMetric m) = mkMetric m :=
isometry_comap_mkMetric _ f.isometry (Or.inr f.surjective)
theorem isometryEquiv_map_mkMetric (m : ℝ≥0∞ → ℝ≥0∞) (f : X ≃ᵢ Y) :
map f (mkMetric m) = mkMetric m := by
rw [← isometryEquiv_comap_mkMetric _ f, map_comap_of_surjective f.surjective]
theorem trim_mkMetric [MeasurableSpace X] [BorelSpace X] (m : ℝ≥0∞ → ℝ≥0∞) :
(mkMetric m : OuterMeasure X).trim = mkMetric m := by
simp only [mkMetric, mkMetric'.eq_iSup_nat, trim_iSup]
congr 1 with n : 1
refine mkMetric'.trim_pre _ (fun s => ?_) _
simp
theorem le_mkMetric (m : ℝ≥0∞ → ℝ≥0∞) (μ : OuterMeasure X) (r : ℝ≥0∞) (h0 : 0 < r)
(hr : ∀ s, diam s ≤ r → μ s ≤ m (diam s)) : μ ≤ mkMetric m :=
le_iSup₂_of_le r h0 <| mkMetric'.le_pre.2 fun _ hs => hr _ hs
end OuterMeasure
/-!
### Metric measures
In this section we use `MeasureTheory.OuterMeasure.toMeasure` and theorems about
`MeasureTheory.OuterMeasure.mkMetric'`/`MeasureTheory.OuterMeasure.mkMetric` to define
`MeasureTheory.Measure.mkMetric'`/`MeasureTheory.Measure.mkMetric`. We also restate some lemmas
about metric outer measures for metric measures.
-/
namespace Measure
variable [MeasurableSpace X] [BorelSpace X]
/-- Given a function `m : Set X → ℝ≥0∞`, `mkMetric' m` is the supremum of `μ r`
over `r > 0`, where `μ r` is the maximal outer measure `μ` such that `μ s ≤ m s`
for all `s`. While each `μ r` is an *outer* measure, the supremum is a measure. -/
def mkMetric' (m : Set X → ℝ≥0∞) : Measure X :=
(OuterMeasure.mkMetric' m).toMeasure (OuterMeasure.mkMetric'_isMetric _).le_caratheodory
/-- Given a function `m : ℝ≥0∞ → ℝ≥0∞`, `mkMetric m` is the supremum of `μ r` over `r > 0`, where
`μ r` is the maximal outer measure `μ` such that `μ s ≤ m s` for all sets `s` that contain at least
two points. While each `mkMetric'.pre` is an *outer* measure, the supremum is a measure. -/
def mkMetric (m : ℝ≥0∞ → ℝ≥0∞) : Measure X :=
(OuterMeasure.mkMetric m).toMeasure (OuterMeasure.mkMetric'_isMetric _).le_caratheodory
@[simp]
theorem mkMetric'_toOuterMeasure (m : Set X → ℝ≥0∞) :
(mkMetric' m).toOuterMeasure = (OuterMeasure.mkMetric' m).trim :=
rfl
@[simp]
theorem mkMetric_toOuterMeasure (m : ℝ≥0∞ → ℝ≥0∞) :
(mkMetric m : Measure X).toOuterMeasure = OuterMeasure.mkMetric m :=
OuterMeasure.trim_mkMetric m
end Measure
theorem OuterMeasure.coe_mkMetric [MeasurableSpace X] [BorelSpace X] (m : ℝ≥0∞ → ℝ≥0∞) :
⇑(OuterMeasure.mkMetric m : OuterMeasure X) = Measure.mkMetric m := by
rw [← Measure.mkMetric_toOuterMeasure, Measure.coe_toOuterMeasure]
namespace Measure
variable [MeasurableSpace X] [BorelSpace X]
/-- If `c ∉ {0, ∞}` and `m₁ d ≤ c * m₂ d` for `d < ε` for some `ε > 0`
(we use `≤ᶠ[𝓝[≥] 0]` to state this), then `mkMetric m₁ hm₁ ≤ c • mkMetric m₂ hm₂`. -/
theorem mkMetric_mono_smul {m₁ m₂ : ℝ≥0∞ → ℝ≥0∞} {c : ℝ≥0∞} (hc : c ≠ ∞) (h0 : c ≠ 0)
(hle : m₁ ≤ᶠ[𝓝[≥] 0] c • m₂) : (mkMetric m₁ : Measure X) ≤ c • mkMetric m₂ := fun s ↦ by
rw [← OuterMeasure.coe_mkMetric, coe_smul, ← OuterMeasure.coe_mkMetric]
exact OuterMeasure.mkMetric_mono_smul hc h0 hle s
@[simp]
theorem mkMetric_top : (mkMetric (fun _ => ∞ : ℝ≥0∞ → ℝ≥0∞) : Measure X) = ⊤ := by
apply toOuterMeasure_injective
rw [mkMetric_toOuterMeasure, OuterMeasure.mkMetric_top, toOuterMeasure_top]
/-- If `m₁ d ≤ m₂ d` for `d < ε` for some `ε > 0` (we use `≤ᶠ[𝓝[≥] 0]` to state this), then
`mkMetric m₁ hm₁ ≤ mkMetric m₂ hm₂`. -/
theorem mkMetric_mono {m₁ m₂ : ℝ≥0∞ → ℝ≥0∞} (hle : m₁ ≤ᶠ[𝓝[≥] 0] m₂) :
(mkMetric m₁ : Measure X) ≤ mkMetric m₂ := by
convert @mkMetric_mono_smul X _ _ _ _ m₂ _ ENNReal.one_ne_top one_ne_zero _ <;> simp [*]
/-- A formula for `MeasureTheory.Measure.mkMetric`. -/
theorem mkMetric_apply (m : ℝ≥0∞ → ℝ≥0∞) (s : Set X) :
mkMetric m s =
⨆ (r : ℝ≥0∞) (_ : 0 < r),
⨅ (t : ℕ → Set X) (_ : s ⊆ iUnion t) (_ : ∀ n, diam (t n) ≤ r),
∑' n, ⨆ _ : (t n).Nonempty, m (diam (t n)) := by
classical
-- We mostly unfold the definitions but we need to switch the order of `∑'` and `⨅`
simp only [← OuterMeasure.coe_mkMetric, OuterMeasure.mkMetric, OuterMeasure.mkMetric',
OuterMeasure.iSup_apply, OuterMeasure.mkMetric'.pre, OuterMeasure.boundedBy_apply, extend]
refine
surjective_id.iSup_congr id fun r =>
iSup_congr_Prop Iff.rfl fun _ =>
surjective_id.iInf_congr _ fun t => iInf_congr_Prop Iff.rfl fun ht => ?_
dsimp
by_cases htr : ∀ n, diam (t n) ≤ r
· rw [iInf_eq_if, if_pos htr]
congr 1 with n : 1
simp only [iInf_eq_if, htr n, id, if_true, iSup_and']
· rw [iInf_eq_if, if_neg htr]
push_neg at htr; rcases htr with ⟨n, hn⟩
refine ENNReal.tsum_eq_top_of_eq_top ⟨n, ?_⟩
rw [iSup_eq_if, if_pos, iInf_eq_if, if_neg]
· exact hn.not_le
rcases diam_pos_iff.1 ((zero_le r).trans_lt hn) with ⟨x, hx, -⟩
exact ⟨x, hx⟩
theorem le_mkMetric (m : ℝ≥0∞ → ℝ≥0∞) (μ : Measure X) (ε : ℝ≥0∞) (h₀ : 0 < ε)
(h : ∀ s : Set X, diam s ≤ ε → μ s ≤ m (diam s)) : μ ≤ mkMetric m := by
rw [← toOuterMeasure_le, mkMetric_toOuterMeasure]
exact OuterMeasure.le_mkMetric m μ.toOuterMeasure ε h₀ h
/-- To bound the Hausdorff measure (or, more generally, for a measure defined using
`MeasureTheory.Measure.mkMetric`) of a set, one may use coverings with maximum diameter tending to
`0`, indexed by any sequence of countable types. -/
theorem mkMetric_le_liminf_tsum {β : Type*} {ι : β → Type*} [∀ n, Countable (ι n)] (s : Set X)
{l : Filter β} (r : β → ℝ≥0∞) (hr : Tendsto r l (𝓝 0)) (t : ∀ n : β, ι n → Set X)
(ht : ∀ᶠ n in l, ∀ i, diam (t n i) ≤ r n) (hst : ∀ᶠ n in l, s ⊆ ⋃ i, t n i) (m : ℝ≥0∞ → ℝ≥0∞) :
mkMetric m s ≤ liminf (fun n => ∑' i, m (diam (t n i))) l := by
haveI : ∀ n, Encodable (ι n) := fun n => Encodable.ofCountable _
simp only [mkMetric_apply]
refine iSup₂_le fun ε hε => ?_
refine le_of_forall_gt_imp_ge_of_dense fun c hc => ?_
rcases ((frequently_lt_of_liminf_lt (by isBoundedDefault) hc).and_eventually
((hr.eventually (gt_mem_nhds hε)).and (ht.and hst))).exists with
⟨n, hn, hrn, htn, hstn⟩
set u : ℕ → Set X := fun j => ⋃ b ∈ decode₂ (ι n) j, t n b
refine iInf₂_le_of_le u (by rwa [iUnion_decode₂]) ?_
refine iInf_le_of_le (fun j => ?_) ?_
· rw [EMetric.diam_iUnion_mem_option]
exact iSup₂_le fun _ _ => (htn _).trans hrn.le
· calc
(∑' j : ℕ, ⨆ _ : (u j).Nonempty, m (diam (u j))) = _ :=
tsum_iUnion_decode₂ (fun t : Set X => ⨆ _ : t.Nonempty, m (diam t)) (by simp) _
_ ≤ ∑' i : ι n, m (diam (t n i)) := ENNReal.tsum_le_tsum fun b => iSup_le fun _ => le_rfl
_ ≤ c := hn.le
/-- To bound the Hausdorff measure (or, more generally, for a measure defined using
`MeasureTheory.Measure.mkMetric`) of a set, one may use coverings with maximum diameter tending to
`0`, indexed by any sequence of finite types. -/
theorem mkMetric_le_liminf_sum {β : Type*} {ι : β → Type*} [hι : ∀ n, Fintype (ι n)] (s : Set X)
{l : Filter β} (r : β → ℝ≥0∞) (hr : Tendsto r l (𝓝 0)) (t : ∀ n : β, ι n → Set X)
(ht : ∀ᶠ n in l, ∀ i, diam (t n i) ≤ r n) (hst : ∀ᶠ n in l, s ⊆ ⋃ i, t n i) (m : ℝ≥0∞ → ℝ≥0∞) :
mkMetric m s ≤ liminf (fun n => ∑ i, m (diam (t n i))) l := by
simpa only [tsum_fintype] using mkMetric_le_liminf_tsum s r hr t ht hst m
/-!
### Hausdorff measure and Hausdorff dimension
-/
/-- Hausdorff measure on an (e)metric space. -/
def hausdorffMeasure (d : ℝ) : Measure X :=
mkMetric fun r => r ^ d
@[inherit_doc]
scoped[MeasureTheory] notation "μH[" d "]" => MeasureTheory.Measure.hausdorffMeasure d
theorem le_hausdorffMeasure (d : ℝ) (μ : Measure X) (ε : ℝ≥0∞) (h₀ : 0 < ε)
(h : ∀ s : Set X, diam s ≤ ε → μ s ≤ diam s ^ d) : μ ≤ μH[d] :=
le_mkMetric _ μ ε h₀ h
/-- A formula for `μH[d] s`. -/
theorem hausdorffMeasure_apply (d : ℝ) (s : Set X) :
μH[d] s =
⨆ (r : ℝ≥0∞) (_ : 0 < r),
⨅ (t : ℕ → Set X) (_ : s ⊆ ⋃ n, t n) (_ : ∀ n, diam (t n) ≤ r),
∑' n, ⨆ _ : (t n).Nonempty, diam (t n) ^ d :=
mkMetric_apply _ _
/-- To bound the Hausdorff measure of a set, one may use coverings with maximum diameter tending
to `0`, indexed by any sequence of countable types. -/
theorem hausdorffMeasure_le_liminf_tsum {β : Type*} {ι : β → Type*} [∀ n, Countable (ι n)]
(d : ℝ) (s : Set X) {l : Filter β} (r : β → ℝ≥0∞) (hr : Tendsto r l (𝓝 0))
(t : ∀ n : β, ι n → Set X) (ht : ∀ᶠ n in l, ∀ i, diam (t n i) ≤ r n)
(hst : ∀ᶠ n in l, s ⊆ ⋃ i, t n i) : μH[d] s ≤ liminf (fun n => ∑' i, diam (t n i) ^ d) l :=
mkMetric_le_liminf_tsum s r hr t ht hst _
/-- To bound the Hausdorff measure of a set, one may use coverings with maximum diameter tending
to `0`, indexed by any sequence of finite types. -/
theorem hausdorffMeasure_le_liminf_sum {β : Type*} {ι : β → Type*} [∀ n, Fintype (ι n)]
(d : ℝ) (s : Set X) {l : Filter β} (r : β → ℝ≥0∞) (hr : Tendsto r l (𝓝 0))
(t : ∀ n : β, ι n → Set X) (ht : ∀ᶠ n in l, ∀ i, diam (t n i) ≤ r n)
(hst : ∀ᶠ n in l, s ⊆ ⋃ i, t n i) : μH[d] s ≤ liminf (fun n => ∑ i, diam (t n i) ^ d) l :=
mkMetric_le_liminf_sum s r hr t ht hst _
/-- If `d₁ < d₂`, then for any set `s` we have either `μH[d₂] s = 0`, or `μH[d₁] s = ∞`. -/
theorem hausdorffMeasure_zero_or_top {d₁ d₂ : ℝ} (h : d₁ < d₂) (s : Set X) :
μH[d₂] s = 0 ∨ μH[d₁] s = ∞ := by
by_contra! H
suffices ∀ c : ℝ≥0, c ≠ 0 → μH[d₂] s ≤ c * μH[d₁] s by
rcases ENNReal.exists_nnreal_pos_mul_lt H.2 H.1 with ⟨c, hc0, hc⟩
exact hc.not_le (this c (pos_iff_ne_zero.1 hc0))
intro c hc
refine le_iff'.1 (mkMetric_mono_smul ENNReal.coe_ne_top (mod_cast hc) ?_) s
have : 0 < ((c : ℝ≥0∞) ^ (d₂ - d₁)⁻¹) := by
rw [← ENNReal.coe_rpow_of_ne_zero hc, pos_iff_ne_zero, Ne, ENNReal.coe_eq_zero,
NNReal.rpow_eq_zero_iff]
exact mt And.left hc
filter_upwards [Ico_mem_nhdsGE this]
rintro r ⟨hr₀, hrc⟩
lift r to ℝ≥0 using ne_top_of_lt hrc
rw [Pi.smul_apply, smul_eq_mul,
← ENNReal.div_le_iff_le_mul (Or.inr ENNReal.coe_ne_top) (Or.inr <| mt ENNReal.coe_eq_zero.1 hc)]
rcases eq_or_ne r 0 with (rfl | hr₀)
· rcases lt_or_le 0 d₂ with (h₂ | h₂)
· simp only [h₂, ENNReal.zero_rpow_of_pos, zero_le, ENNReal.zero_div, ENNReal.coe_zero]
· simp only [h.trans_le h₂, ENNReal.div_top, zero_le, ENNReal.zero_rpow_of_neg,
ENNReal.coe_zero]
· have : (r : ℝ≥0∞) ≠ 0 := by simpa only [ENNReal.coe_eq_zero, Ne] using hr₀
rw [← ENNReal.rpow_sub _ _ this ENNReal.coe_ne_top]
refine (ENNReal.rpow_lt_rpow hrc (sub_pos.2 h)).le.trans ?_
rw [← ENNReal.rpow_mul, inv_mul_cancel₀ (sub_pos.2 h).ne', ENNReal.rpow_one]
/-- Hausdorff measure `μH[d] s` is monotone in `d`. -/
theorem hausdorffMeasure_mono {d₁ d₂ : ℝ} (h : d₁ ≤ d₂) (s : Set X) : μH[d₂] s ≤ μH[d₁] s := by
rcases h.eq_or_lt with (rfl | h); · exact le_rfl
rcases hausdorffMeasure_zero_or_top h s with hs | hs
· rw [hs]; exact zero_le _
· rw [hs]; exact le_top
variable (X) in
theorem noAtoms_hausdorff {d : ℝ} (hd : 0 < d) : NoAtoms (hausdorffMeasure d : Measure X) := by
refine ⟨fun x => ?_⟩
rw [← nonpos_iff_eq_zero, hausdorffMeasure_apply]
refine iSup₂_le fun ε _ => iInf₂_le_of_le (fun _ => {x}) ?_ <| iInf_le_of_le (fun _ => ?_) ?_
· exact subset_iUnion (fun _ => {x} : ℕ → Set X) 0
· simp only [EMetric.diam_singleton, zero_le]
· simp [hd]
@[simp]
theorem hausdorffMeasure_zero_singleton (x : X) : μH[0] ({x} : Set X) = 1 := by
apply le_antisymm
· let r : ℕ → ℝ≥0∞ := fun _ => 0
let t : ℕ → Unit → Set X := fun _ _ => {x}
have ht : ∀ᶠ n in atTop, ∀ i, diam (t n i) ≤ r n := by
simp only [t, r, imp_true_iff, eq_self_iff_true, diam_singleton, eventually_atTop,
nonpos_iff_eq_zero, exists_const]
simpa [t, liminf_const] using hausdorffMeasure_le_liminf_sum 0 {x} r tendsto_const_nhds t ht
· rw [hausdorffMeasure_apply]
suffices
(1 : ℝ≥0∞) ≤
⨅ (t : ℕ → Set X) (_ : {x} ⊆ ⋃ n, t n) (_ : ∀ n, diam (t n) ≤ 1),
∑' n, ⨆ _ : (t n).Nonempty, diam (t n) ^ (0 : ℝ) by
apply le_trans this _
convert le_iSup₂ (α := ℝ≥0∞) (1 : ℝ≥0∞) zero_lt_one
rfl
simp only [ENNReal.rpow_zero, le_iInf_iff]
intro t hst _
rcases mem_iUnion.1 (hst (mem_singleton x)) with ⟨m, hm⟩
have A : (t m).Nonempty := ⟨x, hm⟩
calc
(1 : ℝ≥0∞) = ⨆ h : (t m).Nonempty, 1 := by simp only [A, ciSup_pos]
_ ≤ ∑' n, ⨆ h : (t n).Nonempty, 1 := ENNReal.le_tsum _
theorem one_le_hausdorffMeasure_zero_of_nonempty {s : Set X} (h : s.Nonempty) : 1 ≤ μH[0] s := by
rcases h with ⟨x, hx⟩
calc
(1 : ℝ≥0∞) = μH[0] ({x} : Set X) := (hausdorffMeasure_zero_singleton x).symm
_ ≤ μH[0] s := measure_mono (singleton_subset_iff.2 hx)
theorem hausdorffMeasure_le_one_of_subsingleton {s : Set X} (hs : s.Subsingleton) {d : ℝ}
(hd : 0 ≤ d) : μH[d] s ≤ 1 := by
rcases eq_empty_or_nonempty s with (rfl | ⟨x, hx⟩)
· simp only [measure_empty, zero_le]
· rw [(subsingleton_iff_singleton hx).1 hs]
rcases eq_or_lt_of_le hd with (rfl | dpos)
· simp only [le_refl, hausdorffMeasure_zero_singleton]
· haveI := noAtoms_hausdorff X dpos
simp only [zero_le, measure_singleton]
end Measure
end MeasureTheory
/-!
### Hausdorff measure, Hausdorff dimension, and Hölder or Lipschitz continuous maps
-/
open scoped MeasureTheory
open MeasureTheory MeasureTheory.Measure
variable [MeasurableSpace X] [BorelSpace X] [MeasurableSpace Y] [BorelSpace Y]
namespace HolderOnWith
variable {C r : ℝ≥0} {f : X → Y} {s : Set X}
/-- If `f : X → Y` is Hölder continuous on `s` with a positive exponent `r`, then
`μH[d] (f '' s) ≤ C ^ d * μH[r * d] s`. -/
theorem hausdorffMeasure_image_le (h : HolderOnWith C r f s) (hr : 0 < r) {d : ℝ} (hd : 0 ≤ d) :
μH[d] (f '' s) ≤ (C : ℝ≥0∞) ^ d * μH[r * d] s := by
-- We start with the trivial case `C = 0`
rcases (zero_le C).eq_or_lt with (rfl | hC0)
· rcases eq_empty_or_nonempty s with (rfl | ⟨x, hx⟩)
· simp only [measure_empty, nonpos_iff_eq_zero, mul_zero, image_empty]
have : f '' s = {f x} :=
have : (f '' s).Subsingleton := by simpa [diam_eq_zero_iff] using h.ediam_image_le
(subsingleton_iff_singleton (mem_image_of_mem f hx)).1 this
rw [this]
rcases eq_or_lt_of_le hd with (rfl | h'd)
· simp only [ENNReal.rpow_zero, one_mul, mul_zero]
rw [hausdorffMeasure_zero_singleton]
exact one_le_hausdorffMeasure_zero_of_nonempty ⟨x, hx⟩
· haveI := noAtoms_hausdorff Y h'd
simp only [zero_le, measure_singleton]
-- Now assume `C ≠ 0`
· have hCd0 : (C : ℝ≥0∞) ^ d ≠ 0 := by simp [hC0.ne']
have hCd : (C : ℝ≥0∞) ^ d ≠ ∞ := by simp [hd]
simp only [hausdorffMeasure_apply, ENNReal.mul_iSup, ENNReal.mul_iInf_of_ne hCd0 hCd,
← ENNReal.tsum_mul_left]
refine iSup_le fun R => iSup_le fun hR => ?_
have : Tendsto (fun d : ℝ≥0∞ => (C : ℝ≥0∞) * d ^ (r : ℝ)) (𝓝 0) (𝓝 0) :=
ENNReal.tendsto_const_mul_rpow_nhds_zero_of_pos ENNReal.coe_ne_top hr
rcases ENNReal.nhds_zero_basis_Iic.eventually_iff.1 (this.eventually (gt_mem_nhds hR)) with
⟨δ, δ0, H⟩
refine le_iSup₂_of_le δ δ0 <| iInf₂_mono' fun t hst ↦
⟨fun n => f '' (t n ∩ s), ?_, iInf_mono' fun htδ ↦
⟨fun n => (h.ediam_image_inter_le (t n)).trans (H (htδ n)).le, ?_⟩⟩
· rw [← image_iUnion, ← iUnion_inter]
exact image_subset _ (subset_inter hst Subset.rfl)
· refine ENNReal.tsum_le_tsum fun n => ?_
simp only [iSup_le_iff, image_nonempty]
intro hft
simp only [Nonempty.mono ((t n).inter_subset_left) hft, ciSup_pos]
rw [ENNReal.rpow_mul, ← ENNReal.mul_rpow_of_nonneg _ _ hd]
exact ENNReal.rpow_le_rpow (h.ediam_image_inter_le _) hd
end HolderOnWith
namespace LipschitzOnWith
variable {K : ℝ≥0} {f : X → Y} {s : Set X}
/-- If `f : X → Y` is `K`-Lipschitz on `s`, then `μH[d] (f '' s) ≤ K ^ d * μH[d] s`. -/
theorem hausdorffMeasure_image_le (h : LipschitzOnWith K f s) {d : ℝ} (hd : 0 ≤ d) :
μH[d] (f '' s) ≤ (K : ℝ≥0∞) ^ d * μH[d] s := by
simpa only [NNReal.coe_one, one_mul] using h.holderOnWith.hausdorffMeasure_image_le zero_lt_one hd
end LipschitzOnWith
namespace LipschitzWith
variable {K : ℝ≥0} {f : X → Y}
/-- If `f` is a `K`-Lipschitz map, then it increases the Hausdorff `d`-measures of sets at most
by the factor of `K ^ d`. -/
theorem hausdorffMeasure_image_le (h : LipschitzWith K f) {d : ℝ} (hd : 0 ≤ d) (s : Set X) :
μH[d] (f '' s) ≤ (K : ℝ≥0∞) ^ d * μH[d] s :=
h.lipschitzOnWith.hausdorffMeasure_image_le hd
end LipschitzWith
open scoped Pointwise
theorem MeasureTheory.Measure.hausdorffMeasure_smul₀ {𝕜 E : Type*} [NormedAddCommGroup E]
[NormedField 𝕜] [NormedSpace 𝕜 E] [MeasurableSpace E] [BorelSpace E] {d : ℝ} (hd : 0 ≤ d)
{r : 𝕜} (hr : r ≠ 0) (s : Set E) : μH[d] (r • s) = ‖r‖₊ ^ d • μH[d] s := by
have {r : 𝕜} (s : Set E) : μH[d] (r • s) ≤ ‖r‖₊ ^ d • μH[d] s := by
simpa [ENNReal.coe_rpow_of_nonneg, hd]
using (lipschitzWith_smul r).hausdorffMeasure_image_le hd s
refine le_antisymm (this s) ?_
rw [← le_inv_smul_iff_of_pos]
· dsimp
rw [← NNReal.inv_rpow, ← nnnorm_inv]
· refine Eq.trans_le ?_ (this (r • s))
rw [inv_smul_smul₀ hr]
· simp [pos_iff_ne_zero, hr]
/-!
### Antilipschitz maps do not decrease Hausdorff measures and dimension
-/
namespace AntilipschitzWith
variable {f : X → Y} {K : ℝ≥0} {d : ℝ}
theorem hausdorffMeasure_preimage_le (hf : AntilipschitzWith K f) (hd : 0 ≤ d) (s : Set Y) :
μH[d] (f ⁻¹' s) ≤ (K : ℝ≥0∞) ^ d * μH[d] s := by
rcases eq_or_ne K 0 with (rfl | h0)
· rcases eq_empty_or_nonempty (f ⁻¹' s) with (hs | ⟨x, hx⟩)
· simp only [hs, measure_empty, zero_le]
have : f ⁻¹' s = {x} := by
haveI : Subsingleton X := hf.subsingleton
have : (f ⁻¹' s).Subsingleton := subsingleton_univ.anti (subset_univ _)
exact (subsingleton_iff_singleton hx).1 this
rw [this]
rcases eq_or_lt_of_le hd with (rfl | h'd)
· simp only [ENNReal.rpow_zero, one_mul, mul_zero]
rw [hausdorffMeasure_zero_singleton]
exact one_le_hausdorffMeasure_zero_of_nonempty ⟨f x, hx⟩
· haveI := noAtoms_hausdorff X h'd
simp only [zero_le, measure_singleton]
have hKd0 : (K : ℝ≥0∞) ^ d ≠ 0 := by simp [h0]
have hKd : (K : ℝ≥0∞) ^ d ≠ ∞ := by simp [hd]
simp only [hausdorffMeasure_apply, ENNReal.mul_iSup, ENNReal.mul_iInf_of_ne hKd0 hKd,
← ENNReal.tsum_mul_left]
refine iSup₂_le fun ε ε0 => ?_
refine le_iSup₂_of_le (ε / K) (by simp [ε0.ne']) ?_
refine le_iInf₂ fun t hst => le_iInf fun htε => ?_
replace hst : f ⁻¹' s ⊆ _ := preimage_mono hst; rw [preimage_iUnion] at hst
refine iInf₂_le_of_le _ hst (iInf_le_of_le (fun n => ?_) ?_)
· exact (hf.ediam_preimage_le _).trans (ENNReal.mul_le_of_le_div' <| htε n)
· refine ENNReal.tsum_le_tsum fun n => iSup_le_iff.2 fun hft => ?_
simp only [nonempty_of_nonempty_preimage hft, ciSup_pos]
rw [← ENNReal.mul_rpow_of_nonneg _ _ hd]
exact ENNReal.rpow_le_rpow (hf.ediam_preimage_le _) hd
theorem le_hausdorffMeasure_image (hf : AntilipschitzWith K f) (hd : 0 ≤ d) (s : Set X) :
μH[d] s ≤ (K : ℝ≥0∞) ^ d * μH[d] (f '' s) :=
calc
μH[d] s ≤ μH[d] (f ⁻¹' (f '' s)) := measure_mono (subset_preimage_image _ _)
_ ≤ (K : ℝ≥0∞) ^ d * μH[d] (f '' s) := hf.hausdorffMeasure_preimage_le hd (f '' s)
end AntilipschitzWith
/-!
### Isometries preserve the Hausdorff measure and Hausdorff dimension
-/
namespace Isometry
variable {f : X → Y} {d : ℝ}
theorem hausdorffMeasure_image (hf : Isometry f) (hd : 0 ≤ d ∨ Surjective f) (s : Set X) :
μH[d] (f '' s) = μH[d] s := by
simp only [hausdorffMeasure, ← OuterMeasure.coe_mkMetric, ← OuterMeasure.comap_apply]
rw [OuterMeasure.isometry_comap_mkMetric _ hf (hd.imp_left _)]
exact ENNReal.monotone_rpow_of_nonneg
theorem hausdorffMeasure_preimage (hf : Isometry f) (hd : 0 ≤ d ∨ Surjective f) (s : Set Y) :
μH[d] (f ⁻¹' s) = μH[d] (s ∩ range f) := by
rw [← hf.hausdorffMeasure_image hd, image_preimage_eq_inter_range]
theorem map_hausdorffMeasure (hf : Isometry f) (hd : 0 ≤ d ∨ Surjective f) :
Measure.map f μH[d] = μH[d].restrict (range f) := by
ext1 s hs
rw [map_apply hf.continuous.measurable hs, Measure.restrict_apply hs,
hf.hausdorffMeasure_preimage hd]
end Isometry
namespace IsometryEquiv
@[simp]
theorem hausdorffMeasure_image (e : X ≃ᵢ Y) (d : ℝ) (s : Set X) : μH[d] (e '' s) = μH[d] s :=
e.isometry.hausdorffMeasure_image (Or.inr e.surjective) s
@[simp]
theorem hausdorffMeasure_preimage (e : X ≃ᵢ Y) (d : ℝ) (s : Set Y) : μH[d] (e ⁻¹' s) = μH[d] s := by
rw [← e.image_symm, e.symm.hausdorffMeasure_image]
@[simp]
theorem map_hausdorffMeasure (e : X ≃ᵢ Y) (d : ℝ) : Measure.map e μH[d] = μH[d] := by
rw [e.isometry.map_hausdorffMeasure (Or.inr e.surjective), e.surjective.range_eq, restrict_univ]
theorem measurePreserving_hausdorffMeasure (e : X ≃ᵢ Y) (d : ℝ) : MeasurePreserving e μH[d] μH[d] :=
⟨e.continuous.measurable, map_hausdorffMeasure _ _⟩
end IsometryEquiv
namespace MeasureTheory
@[to_additive]
theorem hausdorffMeasure_smul {α : Type*} [SMul α X] [IsIsometricSMul α X] {d : ℝ} (c : α)
(h : 0 ≤ d ∨ Surjective (c • · : X → X)) (s : Set X) : μH[d] (c • s) = μH[d] s :=
(isometry_smul X c).hausdorffMeasure_image h _
@[to_additive]
instance {d : ℝ} [Group X] [IsIsometricSMul X X] : IsMulLeftInvariant (μH[d] : Measure X) where
map_mul_left_eq_self x := (IsometryEquiv.constSMul x).map_hausdorffMeasure _
@[to_additive]
instance {d : ℝ} [Group X] [IsIsometricSMul Xᵐᵒᵖ X] : IsMulRightInvariant (μH[d] : Measure X) where
map_mul_right_eq_self x := (IsometryEquiv.constSMul (MulOpposite.op x)).map_hausdorffMeasure _
/-!
### Hausdorff measure and Lebesgue measure
-/
/-- In the space `ι → ℝ`, the Hausdorff measure coincides exactly with the Lebesgue measure. -/
@[simp]
theorem hausdorffMeasure_pi_real {ι : Type*} [Fintype ι] :
(μH[Fintype.card ι] : Measure (ι → ℝ)) = volume := by
classical
-- it suffices to check that the two measures coincide on products of rational intervals
refine (pi_eq_generateFrom (fun _ => Real.borel_eq_generateFrom_Ioo_rat.symm)
(fun _ => Real.isPiSystem_Ioo_rat) (fun _ => Real.finiteSpanningSetsInIooRat _) ?_).symm
simp only [mem_iUnion, mem_singleton_iff]
-- fix such a product `s` of rational intervals, of the form `Π (a i, b i)`.
intro s hs
choose a b H using hs
obtain rfl : s = fun i => Ioo (α := ℝ) (a i) (b i) := funext fun i => (H i).2
replace H := fun i => (H i).1
apply le_antisymm _
-- first check that `volume s ≤ μH s`
· have Hle : volume ≤ (μH[Fintype.card ι] : Measure (ι → ℝ)) := by
refine le_hausdorffMeasure _ _ ∞ ENNReal.coe_lt_top fun s _ => ?_
rw [ENNReal.rpow_natCast]
exact Real.volume_pi_le_diam_pow s
rw [← volume_pi_pi fun i => Ioo (a i : ℝ) (b i)]
exact Measure.le_iff'.1 Hle _
/- For the other inequality `μH s ≤ volume s`, we use a covering of `s` by sets of small diameter
`1/n`, namely cubes with left-most point of the form `a i + f i / n` with `f i` ranging between
`0` and `⌈(b i - a i) * n⌉`. Their number is asymptotic to `n^d * Π (b i - a i)`. -/
have I : ∀ i, 0 ≤ (b i : ℝ) - a i := fun i => by
simpa only [sub_nonneg, Rat.cast_le] using (H i).le
let γ := fun n : ℕ => ∀ i : ι, Fin ⌈((b i : ℝ) - a i) * n⌉₊
let t : ∀ n : ℕ, γ n → Set (ι → ℝ) := fun n f =>
Set.pi univ fun i => Icc (a i + f i / n) (a i + (f i + 1) / n)
have A : Tendsto (fun n : ℕ => 1 / (n : ℝ≥0∞)) atTop (𝓝 0) := by
simp only [one_div, ENNReal.tendsto_inv_nat_nhds_zero]
have B : ∀ᶠ n in atTop, ∀ i : γ n, diam (t n i) ≤ 1 / n := by
refine eventually_atTop.2 ⟨1, fun n hn => ?_⟩
intro f
refine diam_pi_le_of_le fun b => ?_
simp only [Real.ediam_Icc, add_div, ENNReal.ofReal_div_of_pos (Nat.cast_pos.mpr hn), le_refl,
add_sub_add_left_eq_sub, add_sub_cancel_left, ENNReal.ofReal_one, ENNReal.ofReal_natCast]
have C : ∀ᶠ n in atTop, (Set.pi univ fun i : ι => Ioo (a i : ℝ) (b i)) ⊆ ⋃ i : γ n, t n i := by
refine eventually_atTop.2 ⟨1, fun n hn => ?_⟩
have npos : (0 : ℝ) < n := Nat.cast_pos.2 hn
intro x hx
simp only [mem_Ioo, mem_univ_pi] at hx
simp only [t, mem_iUnion, mem_Ioo, mem_univ_pi]
let f : γ n := fun i =>
⟨⌊(x i - a i) * n⌋₊, by
apply Nat.floor_lt_ceil_of_lt_of_pos
· refine (mul_lt_mul_right npos).2 ?_
simp only [(hx i).right, sub_lt_sub_iff_right]
· refine mul_pos ?_ npos
simpa only [Rat.cast_lt, sub_pos] using H i⟩
refine ⟨f, fun i => ⟨?_, ?_⟩⟩
· calc
(a i : ℝ) + ⌊(x i - a i) * n⌋₊ / n ≤ (a i : ℝ) + (x i - a i) * n / n := by
gcongr
exact Nat.floor_le (mul_nonneg (sub_nonneg.2 (hx i).1.le) npos.le)
_ = x i := by field_simp [npos.ne']
· calc
x i = (a i : ℝ) + (x i - a i) * n / n := by field_simp [npos.ne']
_ ≤ (a i : ℝ) + (⌊(x i - a i) * n⌋₊ + 1) / n := by
gcongr
exact (Nat.lt_floor_add_one _).le
calc
μH[Fintype.card ι] (Set.pi univ fun i : ι => Ioo (a i : ℝ) (b i)) ≤
liminf (fun n : ℕ => ∑ i : γ n, diam (t n i) ^ ((Fintype.card ι) : ℝ)) atTop :=
hausdorffMeasure_le_liminf_sum _ (Set.pi univ fun i => Ioo (a i : ℝ) (b i))
(fun n : ℕ => 1 / (n : ℝ≥0∞)) A t B C
_ ≤ liminf (fun n : ℕ => ∑ i : γ n, (1 / (n : ℝ≥0∞)) ^ Fintype.card ι) atTop := by
refine liminf_le_liminf ?_ ?_
· filter_upwards [B] with _ hn
apply Finset.sum_le_sum fun i _ => _
simp only [ENNReal.rpow_natCast]
intros i _
exact pow_le_pow_left' (hn i) _
· isBoundedDefault
_ = liminf (fun n : ℕ => ∏ i : ι, (⌈((b i : ℝ) - a i) * n⌉₊ : ℝ≥0∞) / n) atTop := by
simp only [γ, Finset.card_univ, Nat.cast_prod, one_mul, Fintype.card_fin, Finset.sum_const,
nsmul_eq_mul, Fintype.card_pi, div_eq_mul_inv, Finset.prod_mul_distrib, Finset.prod_const]
_ = ∏ i : ι, volume (Ioo (a i : ℝ) (b i)) := by
simp only [Real.volume_Ioo]
apply Tendsto.liminf_eq
refine ENNReal.tendsto_finset_prod_of_ne_top _ (fun i _ => ?_) fun i _ => ?_
· apply
Tendsto.congr' _
((ENNReal.continuous_ofReal.tendsto _).comp
((tendsto_nat_ceil_mul_div_atTop (I i)).comp tendsto_natCast_atTop_atTop))
apply eventually_atTop.2 ⟨1, fun n hn => _⟩
intros n hn
simp only [ENNReal.ofReal_div_of_pos (Nat.cast_pos.mpr hn), comp_apply,
ENNReal.ofReal_natCast]
· simp only [ENNReal.ofReal_ne_top, Ne, not_false_iff]
instance isAddHaarMeasure_hausdorffMeasure {E : Type*}
[NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
[MeasurableSpace E] [BorelSpace E] :
IsAddHaarMeasure (G := E) μH[finrank ℝ E] where
lt_top_of_isCompact K hK := by
set e : E ≃L[ℝ] Fin (finrank ℝ E) → ℝ := ContinuousLinearEquiv.ofFinrankEq (by simp)
suffices μH[finrank ℝ E] (e '' K) < ⊤ by
rw [← e.symm_image_image K]
apply lt_of_le_of_lt <| e.symm.lipschitz.hausdorffMeasure_image_le (by simp) (e '' K)
rw [ENNReal.rpow_natCast]
exact ENNReal.mul_lt_top (ENNReal.pow_lt_top ENNReal.coe_lt_top) this
conv_lhs => congr; congr; rw [← Fintype.card_fin (finrank ℝ E)]
rw [hausdorffMeasure_pi_real]
exact (hK.image e.continuous).measure_lt_top
open_pos U hU hU' := by
set e : E ≃L[ℝ] Fin (finrank ℝ E) → ℝ := ContinuousLinearEquiv.ofFinrankEq (by simp)
suffices 0 < μH[finrank ℝ E] (e '' U) from
(ENNReal.mul_pos_iff.mp (lt_of_lt_of_le this <|
e.lipschitz.hausdorffMeasure_image_le (by simp) _)).2.ne'
conv_rhs => congr; congr; rw [← Fintype.card_fin (finrank ℝ E)]
rw [hausdorffMeasure_pi_real]
apply (e.isOpenMap U hU).measure_pos (μ := volume)
simpa
variable (ι X)
theorem hausdorffMeasure_measurePreserving_funUnique [Unique ι]
[SecondCountableTopology X] (d : ℝ) :
MeasurePreserving (MeasurableEquiv.funUnique ι X) μH[d] μH[d] :=
(IsometryEquiv.funUnique ι X).measurePreserving_hausdorffMeasure _
theorem hausdorffMeasure_measurePreserving_piFinTwo (α : Fin 2 → Type*)
[∀ i, MeasurableSpace (α i)] [∀ i, EMetricSpace (α i)] [∀ i, BorelSpace (α i)]
[∀ i, SecondCountableTopology (α i)] (d : ℝ) :
MeasurePreserving (MeasurableEquiv.piFinTwo α) μH[d] μH[d] :=
(IsometryEquiv.piFinTwo α).measurePreserving_hausdorffMeasure _
/-- In the space `ℝ`, the Hausdorff measure coincides exactly with the Lebesgue measure. -/
@[simp]
theorem hausdorffMeasure_real : (μH[1] : Measure ℝ) = volume := by
rw [← (volume_preserving_funUnique Unit ℝ).map_eq,
← (hausdorffMeasure_measurePreserving_funUnique Unit ℝ 1).map_eq,
← hausdorffMeasure_pi_real, Fintype.card_unit, Nat.cast_one]
/-- In the space `ℝ × ℝ`, the Hausdorff measure coincides exactly with the Lebesgue measure. -/
@[simp]
theorem hausdorffMeasure_prod_real : (μH[2] : Measure (ℝ × ℝ)) = volume := by
rw [← (volume_preserving_piFinTwo fun _ => ℝ).map_eq,
← (hausdorffMeasure_measurePreserving_piFinTwo (fun _ => ℝ) _).map_eq,
← hausdorffMeasure_pi_real, Fintype.card_fin, Nat.cast_two]
/-! ### Geometric results in affine spaces -/
section Geometric
variable {𝕜 E P : Type*}
theorem hausdorffMeasure_smul_right_image [NormedAddCommGroup E] [NormedSpace ℝ E]
[MeasurableSpace E] [BorelSpace E] (v : E) (s : Set ℝ) :
μH[1] ((fun r => r • v) '' s) = ‖v‖₊ • μH[1] s := by
obtain rfl | hv := eq_or_ne v 0
· haveI := noAtoms_hausdorff E one_pos
obtain rfl | hs := s.eq_empty_or_nonempty
· simp
simp [hs]
have hn : ‖v‖ ≠ 0 := norm_ne_zero_iff.mpr hv
-- break lineMap into pieces
suffices
μH[1] ((‖v‖ • ·) '' (LinearMap.toSpanSingleton ℝ E (‖v‖⁻¹ • v) '' s)) = ‖v‖₊ • μH[1] s by
simpa only [Set.image_image, smul_comm (norm _), inv_smul_smul₀ hn,
LinearMap.toSpanSingleton_apply] using this
have iso_smul : Isometry (LinearMap.toSpanSingleton ℝ E (‖v‖⁻¹ • v)) := by
refine AddMonoidHomClass.isometry_of_norm _ fun x => (norm_smul _ _).trans ?_
rw [norm_smul, norm_inv, norm_norm, inv_mul_cancel₀ hn, mul_one, LinearMap.id_apply]
rw [Set.image_smul, Measure.hausdorffMeasure_smul₀ zero_le_one hn, nnnorm_norm,
NNReal.rpow_one, iso_smul.hausdorffMeasure_image (Or.inl <| zero_le_one' ℝ)]
section NormedFieldAffine
variable [NormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] [MeasurableSpace P]
variable [MetricSpace P] [NormedAddTorsor E P] [BorelSpace P]
/-- Scaling by `c` around `x` scales the measure by `‖c‖₊ ^ d`. -/
theorem hausdorffMeasure_homothety_image {d : ℝ} (hd : 0 ≤ d) (x : P) {c : 𝕜} (hc : c ≠ 0)
(s : Set P) : μH[d] (AffineMap.homothety x c '' s) = ‖c‖₊ ^ d • μH[d] s := by
suffices
μH[d] (IsometryEquiv.vaddConst x '' ((c • ·) '' ((IsometryEquiv.vaddConst x).symm '' s))) =
‖c‖₊ ^ d • μH[d] s by
simpa only [Set.image_image]
borelize E
rw [IsometryEquiv.hausdorffMeasure_image, Set.image_smul, Measure.hausdorffMeasure_smul₀ hd hc,
IsometryEquiv.hausdorffMeasure_image]
theorem hausdorffMeasure_homothety_preimage {d : ℝ} (hd : 0 ≤ d) (x : P) {c : 𝕜} (hc : c ≠ 0)
(s : Set P) : μH[d] (AffineMap.homothety x c ⁻¹' s) = ‖c‖₊⁻¹ ^ d • μH[d] s := by
change μH[d] (AffineEquiv.homothetyUnitsMulHom x (Units.mk0 c hc) ⁻¹' s) = _
rw [← AffineEquiv.image_symm, AffineEquiv.coe_homothetyUnitsMulHom_apply_symm,
hausdorffMeasure_homothety_image hd x (_ : 𝕜ˣ).isUnit.ne_zero, Units.val_inv_eq_inv_val,
Units.val_mk0, nnnorm_inv]
/-! TODO: prove `Measure.map (AffineMap.homothety x c) μH[d] = ‖c‖₊⁻¹ ^ d • μH[d]`, which needs a
more general version of `AffineMap.homothety_continuous`. -/
end NormedFieldAffine
section RealAffine
variable [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace P]
variable [MetricSpace P] [NormedAddTorsor E P] [BorelSpace P]
/-- Mapping a set of reals along a line segment scales the measure by the length of a segment.
This is an auxiliary result used to prove `hausdorffMeasure_affineSegment`. -/
theorem hausdorffMeasure_lineMap_image (x y : P) (s : Set ℝ) :
μH[1] (AffineMap.lineMap x y '' s) = nndist x y • μH[1] s := by
suffices μH[1] (IsometryEquiv.vaddConst x '' ((· • (y -ᵥ x)) '' s)) = nndist x y • μH[1] s by
simpa only [Set.image_image]
borelize E
rw [IsometryEquiv.hausdorffMeasure_image, hausdorffMeasure_smul_right_image,
nndist_eq_nnnorm_vsub' E]
/-- The measure of a segment is the distance between its endpoints. -/
@[simp]
theorem hausdorffMeasure_affineSegment (x y : P) : μH[1] (affineSegment ℝ x y) = edist x y := by
rw [affineSegment, hausdorffMeasure_lineMap_image, hausdorffMeasure_real, Real.volume_Icc,
sub_zero, ENNReal.ofReal_one, ← Algebra.algebraMap_eq_smul_one]
exact (edist_nndist _ _).symm
end RealAffine
/-- The measure of a segment is the distance between its endpoints. -/
@[simp]
theorem hausdorffMeasure_segment {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[MeasurableSpace E] [BorelSpace E] (x y : E) : μH[1] (segment ℝ x y) = edist x y := by
rw [← affineSegment_eq_segment, hausdorffMeasure_affineSegment]
end Geometric
end MeasureTheory
| Mathlib/MeasureTheory/Measure/Hausdorff.lean | 1,157 | 1,159 | |
/-
Copyright (c) 2023 Frédéric Dupuis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Frédéric Dupuis
-/
import Mathlib.Computability.AkraBazzi.GrowsPolynomially
import Mathlib.Analysis.Calculus.Deriv.Inv
import Mathlib.Analysis.SpecialFunctions.Pow.Deriv
/-!
# Divide-and-conquer recurrences and the Akra-Bazzi theorem
A divide-and-conquer recurrence is a function `T : ℕ → ℝ` that satisfies a recurrence relation of
the form `T(n) = ∑_{i=0}^{k-1} a_i T(r_i(n)) + g(n)` for large enough `n`, where `r_i(n)` is some
function where `‖r_i(n) - b_i n‖ ∈ o(n / (log n)^2)` for every `i`, the `a_i`'s are some positive
coefficients, and the `b_i`'s are reals `∈ (0,1)`. (Note that this can be improved to
`O(n / (log n)^(1+ε))`, this is left as future work.) These recurrences arise mainly in the
analysis of divide-and-conquer algorithms such as mergesort or Strassen's algorithm for matrix
multiplication. This class of algorithms works by dividing an instance of the problem of size `n`,
into `k` smaller instances, where the `i`'th instance is of size roughly `b_i n`, and calling itself
recursively on those smaller instances. `T(n)` then represents the running time of the algorithm,
and `g(n)` represents the running time required to actually divide up the instance and process the
answers that come out of the recursive calls. Since virtually all such algorithms produce instances
that are only approximately of size `b_i n` (they have to round up or down at the very least), we
allow the instance sizes to be given by some function `r_i(n)` that approximates `b_i n`.
The Akra-Bazzi theorem gives the asymptotic order of such a recurrence: it states that
`T(n) ∈ Θ(n^p (1 + ∑_{u=0}^{n-1} g(n) / u^{p+1}))`,
where `p` is the unique real number such that `∑ a_i b_i^p = 1`.
## Main definitions and results
* `AkraBazziRecurrence T g a b r`: the predicate stating that `T : ℕ → ℝ` satisfies an Akra-Bazzi
recurrence with parameters `g`, `a`, `b` and `r` as above.
* `GrowsPolynomially`: The growth condition that `g` must satisfy for the theorem to apply.
It roughly states that
`c₁ g(n) ≤ g(u) ≤ c₂ g(n)`, for u between b*n and n for any constant `b ∈ (0,1)`.
* `sumTransform`: The transformation which turns a function `g` into
`n^p * ∑ u ∈ Finset.Ico n₀ n, g u / u^(p+1)`.
* `asympBound`: The asymptotic bound satisfied by an Akra-Bazzi recurrence, namely
`n^p (1 + ∑ g(u) / u^(p+1))`
* `isTheta_asympBound`: The main result stating that
`T(n) ∈ Θ(n^p (1 + ∑_{u=0}^{n-1} g(n) / u^{p+1}))`
## Implementation
Note that the original version of the theorem has an integral rather than a sum in the above
expression, and first considers the `T : ℝ → ℝ` case before moving on to `ℕ → ℝ`. We prove the
above version with a sum, as it is simpler and more relevant for algorithms.
## TODO
* Specialize this theorem to the very common case where the recurrence is of the form
`T(n) = ℓT(r_i(n)) + g(n)`
where `g(n) ∈ Θ(n^t)` for some `t`. (This is often called the "master theorem" in the literature.)
* Add the original version of the theorem with an integral instead of a sum.
## References
* Mohamad Akra and Louay Bazzi, On the solution of linear recurrence equations
* Tom Leighton, Notes on better master theorems for divide-and-conquer recurrences
* Manuel Eberl, Asymptotic reasoning in a proof assistant
-/
open Finset Real Filter Asymptotics
open scoped Topology
/-!
#### Definition of Akra-Bazzi recurrences
This section defines the predicate `AkraBazziRecurrence T g a b r` which states that `T`
satisfies the recurrence
`T(n) = ∑_{i=0}^{k-1} a_i T(r_i(n)) + g(n)`
with appropriate conditions on the various parameters.
-/
/-- An Akra-Bazzi recurrence is a function that satisfies the recurrence
`T n = (∑ i, a i * T (r i n)) + g n`. -/
structure AkraBazziRecurrence {α : Type*} [Fintype α] [Nonempty α]
(T : ℕ → ℝ) (g : ℝ → ℝ) (a : α → ℝ) (b : α → ℝ) (r : α → ℕ → ℕ) where
/-- Point below which the recurrence is in the base case -/
n₀ : ℕ
/-- `n₀` is always `> 0` -/
n₀_gt_zero : 0 < n₀
/-- The `a`'s are nonzero -/
a_pos : ∀ i, 0 < a i
/-- The `b`'s are nonzero -/
b_pos : ∀ i, 0 < b i
/-- The b's are less than 1 -/
b_lt_one : ∀ i, b i < 1
/-- `g` is nonnegative -/
g_nonneg : ∀ x ≥ 0, 0 ≤ g x
/-- `g` grows polynomially -/
g_grows_poly : AkraBazziRecurrence.GrowsPolynomially g
/-- The actual recurrence -/
h_rec (n : ℕ) (hn₀ : n₀ ≤ n) : T n = (∑ i, a i * T (r i n)) + g n
/-- Base case: `T(n) > 0` whenever `n < n₀` -/
T_gt_zero' (n : ℕ) (hn : n < n₀) : 0 < T n
/-- The `r`'s always reduce `n` -/
r_lt_n : ∀ i n, n₀ ≤ n → r i n < n
/-- The `r`'s approximate the `b`'s -/
dist_r_b : ∀ i, (fun n => (r i n : ℝ) - b i * n) =o[atTop] fun n => n / (log n) ^ 2
namespace AkraBazziRecurrence
section min_max
variable {α : Type*} [Finite α] [Nonempty α]
/-- Smallest `b i` -/
noncomputable def min_bi (b : α → ℝ) : α :=
Classical.choose <| Finite.exists_min b
/-- Largest `b i` -/
noncomputable def max_bi (b : α → ℝ) : α :=
Classical.choose <| Finite.exists_max b
@[aesop safe apply]
lemma min_bi_le {b : α → ℝ} (i : α) : b (min_bi b) ≤ b i :=
Classical.choose_spec (Finite.exists_min b) i
@[aesop safe apply]
lemma max_bi_le {b : α → ℝ} (i : α) : b i ≤ b (max_bi b) :=
Classical.choose_spec (Finite.exists_max b) i
end min_max
lemma isLittleO_self_div_log_id :
(fun (n : ℕ) => n / log n ^ 2) =o[atTop] (fun (n : ℕ) => (n : ℝ)) := by
calc (fun (n : ℕ) => (n : ℝ) / log n ^ 2) = fun (n : ℕ) => (n : ℝ) * ((log n) ^ 2)⁻¹ := by
simp_rw [div_eq_mul_inv]
_ =o[atTop] fun (n : ℕ) => (n : ℝ) * 1⁻¹ := by
refine IsBigO.mul_isLittleO (isBigO_refl _ _) ?_
refine IsLittleO.inv_rev ?main ?zero
case zero => simp
case main => calc
_ = (fun (_ : ℕ) => ((1 : ℝ) ^ 2)) := by simp
_ =o[atTop] (fun (n : ℕ) => (log n)^2) :=
IsLittleO.pow (IsLittleO.natCast_atTop
<| isLittleO_const_log_atTop) (by norm_num)
_ = (fun (n : ℕ) => (n : ℝ)) := by ext; simp
variable {α : Type*} [Fintype α] {T : ℕ → ℝ} {g : ℝ → ℝ} {a b : α → ℝ} {r : α → ℕ → ℕ}
variable [Nonempty α] (R : AkraBazziRecurrence T g a b r)
section
include R
lemma dist_r_b' : ∀ᶠ n in atTop, ∀ i, ‖(r i n : ℝ) - b i * n‖ ≤ n / log n ^ 2 := by
rw [Filter.eventually_all]
intro i
simpa using IsLittleO.eventuallyLE (R.dist_r_b i)
lemma eventually_b_le_r : ∀ᶠ (n : ℕ) in atTop, ∀ i, (b i : ℝ) * n - (n / log n ^ 2) ≤ r i n := by
filter_upwards [R.dist_r_b'] with n hn
intro i
have h₁ : 0 ≤ b i := le_of_lt <| R.b_pos _
rw [sub_le_iff_le_add, add_comm, ← sub_le_iff_le_add]
calc (b i : ℝ) * n - r i n = ‖b i * n‖ - ‖(r i n : ℝ)‖ := by
simp only [norm_mul, RCLike.norm_natCast, sub_left_inj,
Nat.cast_eq_zero, Real.norm_of_nonneg h₁]
_ ≤ ‖(b i * n : ℝ) - r i n‖ := norm_sub_norm_le _ _
_ = ‖(r i n : ℝ) - b i * n‖ := norm_sub_rev _ _
_ ≤ n / log n ^ 2 := hn i
lemma eventually_r_le_b : ∀ᶠ (n : ℕ) in atTop, ∀ i, r i n ≤ (b i : ℝ) * n + (n / log n ^ 2) := by
filter_upwards [R.dist_r_b'] with n hn
intro i
calc r i n = b i * n + (r i n - b i * n) := by ring
_ ≤ b i * n + ‖r i n - b i * n‖ := by gcongr; exact Real.le_norm_self _
_ ≤ b i * n + n / log n ^ 2 := by gcongr; exact hn i
lemma eventually_r_lt_n : ∀ᶠ (n : ℕ) in atTop, ∀ i, r i n < n := by
filter_upwards [eventually_ge_atTop R.n₀] with n hn
exact fun i => R.r_lt_n i n hn
lemma eventually_bi_mul_le_r : ∀ᶠ (n : ℕ) in atTop, ∀ i, (b (min_bi b) / 2) * n ≤ r i n := by
have gt_zero : 0 < b (min_bi b) := R.b_pos (min_bi b)
have hlo := isLittleO_self_div_log_id
rw [Asymptotics.isLittleO_iff] at hlo
have hlo' := hlo (by positivity : 0 < b (min_bi b) / 2)
filter_upwards [hlo', R.eventually_b_le_r] with n hn hn'
intro i
simp only [Real.norm_of_nonneg (by positivity : 0 ≤ (n : ℝ))] at hn
calc b (min_bi b) / 2 * n = b (min_bi b) * n - b (min_bi b) / 2 * n := by ring
_ ≤ b (min_bi b) * n - ‖n / log n ^ 2‖ := by gcongr
_ ≤ b i * n - ‖n / log n ^ 2‖ := by gcongr; aesop
_ = b i * n - n / log n ^ 2 := by
congr
exact Real.norm_of_nonneg <| by positivity
_ ≤ r i n := hn' i
lemma bi_min_div_two_lt_one : b (min_bi b) / 2 < 1 := by
have gt_zero : 0 < b (min_bi b) := R.b_pos (min_bi b)
calc b (min_bi b) / 2 < b (min_bi b) := by aesop (add safe apply div_two_lt_of_pos)
_ < 1 := R.b_lt_one _
lemma bi_min_div_two_pos : 0 < b (min_bi b) / 2 := div_pos (R.b_pos _) (by norm_num)
lemma exists_eventually_const_mul_le_r :
∃ c ∈ Set.Ioo (0 : ℝ) 1, ∀ᶠ (n : ℕ) in atTop, ∀ i, c * n ≤ r i n := by
have gt_zero : 0 < b (min_bi b) := R.b_pos (min_bi b)
exact ⟨b (min_bi b) / 2, ⟨⟨by positivity, R.bi_min_div_two_lt_one⟩, R.eventually_bi_mul_le_r⟩⟩
lemma eventually_r_ge (C : ℝ) : ∀ᶠ (n : ℕ) in atTop, ∀ i, C ≤ r i n := by
obtain ⟨c, hc_mem, hc⟩ := R.exists_eventually_const_mul_le_r
filter_upwards [eventually_ge_atTop ⌈C / c⌉₊, hc] with n hn₁ hn₂
have h₁ := hc_mem.1
intro i
calc C = c * (C / c) := by
rw [← mul_div_assoc]
exact (mul_div_cancel_left₀ _ (by positivity)).symm
_ ≤ c * ⌈C / c⌉₊ := by gcongr; simp [Nat.le_ceil]
_ ≤ c * n := by gcongr
_ ≤ r i n := hn₂ i
lemma tendsto_atTop_r (i : α) : Tendsto (r i) atTop atTop := by
rw [tendsto_atTop]
intro b
have := R.eventually_r_ge b
rw [Filter.eventually_all] at this
exact_mod_cast this i
| lemma tendsto_atTop_r_real (i : α) : Tendsto (fun n => (r i n : ℝ)) atTop atTop :=
Tendsto.comp tendsto_natCast_atTop_atTop (R.tendsto_atTop_r i)
lemma exists_eventually_r_le_const_mul :
∃ c ∈ Set.Ioo (0 : ℝ) 1, ∀ᶠ (n : ℕ) in atTop, ∀ i, r i n ≤ c * n := by
let c := b (max_bi b) + (1 - b (max_bi b)) / 2
have h_max_bi_pos : 0 < b (max_bi b) := R.b_pos _
have h_max_bi_lt_one : 0 < 1 - b (max_bi b) := by
have : b (max_bi b) < 1 := R.b_lt_one _
linarith
have hc_pos : 0 < c := by positivity
have h₁ : 0 < (1 - b (max_bi b)) / 2 := by positivity
have hc_lt_one : c < 1 :=
calc b (max_bi b) + (1 - b (max_bi b)) / 2 = b (max_bi b) * (1 / 2) + 1 / 2 := by ring
_ < 1 * (1 / 2) + 1 / 2 := by
gcongr
exact R.b_lt_one _
_ = 1 := by norm_num
refine ⟨c, ⟨hc_pos, hc_lt_one⟩, ?_⟩
have hlo := isLittleO_self_div_log_id
rw [Asymptotics.isLittleO_iff] at hlo
have hlo' := hlo h₁
filter_upwards [hlo', R.eventually_r_le_b] with n hn hn'
intro i
rw [Real.norm_of_nonneg (by positivity)] at hn
simp only [Real.norm_of_nonneg (by positivity : 0 ≤ (n : ℝ))] at hn
calc r i n ≤ b i * n + n / log n ^ 2 := by exact hn' i
| Mathlib/Computability/AkraBazzi/AkraBazzi.lean | 225 | 251 |
/-
Copyright (c) 2018 Michael Jendrusch. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Jendrusch, Kim Morrison, Bhavik Mehta, Jakob von Raumer
-/
import Mathlib.CategoryTheory.EqToHom
import Mathlib.CategoryTheory.Functor.Trifunctor
import Mathlib.CategoryTheory.Products.Basic
/-!
# Monoidal categories
A monoidal category is a category equipped with a tensor product, unitors, and an associator.
In the definition, we provide the tensor product as a pair of functions
* `tensorObj : C → C → C`
* `tensorHom : (X₁ ⟶ Y₁) → (X₂ ⟶ Y₂) → ((X₁ ⊗ X₂) ⟶ (Y₁ ⊗ Y₂))`
and allow use of the overloaded notation `⊗` for both.
The unitors and associator are provided componentwise.
The tensor product can be expressed as a functor via `tensor : C × C ⥤ C`.
The unitors and associator are gathered together as natural
isomorphisms in `leftUnitor_nat_iso`, `rightUnitor_nat_iso` and `associator_nat_iso`.
Some consequences of the definition are proved in other files after proving the coherence theorem,
e.g. `(λ_ (𝟙_ C)).hom = (ρ_ (𝟙_ C)).hom` in `CategoryTheory.Monoidal.CoherenceLemmas`.
## Implementation notes
In the definition of monoidal categories, we also provide the whiskering operators:
* `whiskerLeft (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) : X ⊗ Y₁ ⟶ X ⊗ Y₂`, denoted by `X ◁ f`,
* `whiskerRight {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) : X₁ ⊗ Y ⟶ X₂ ⊗ Y`, denoted by `f ▷ Y`.
These are products of an object and a morphism (the terminology "whiskering"
is borrowed from 2-category theory). The tensor product of morphisms `tensorHom` can be defined
in terms of the whiskerings. There are two possible such definitions, which are related by
the exchange property of the whiskerings. These two definitions are accessed by `tensorHom_def`
and `tensorHom_def'`. By default, `tensorHom` is defined so that `tensorHom_def` holds
definitionally.
If you want to provide `tensorHom` and define `whiskerLeft` and `whiskerRight` in terms of it,
you can use the alternative constructor `CategoryTheory.MonoidalCategory.ofTensorHom`.
The whiskerings are useful when considering simp-normal forms of morphisms in monoidal categories.
### Simp-normal form for morphisms
Rewriting involving associators and unitors could be very complicated. We try to ease this
complexity by putting carefully chosen simp lemmas that rewrite any morphisms into the simp-normal
form defined below. Rewriting into simp-normal form is especially useful in preprocessing
performed by the `coherence` tactic.
The simp-normal form of morphisms is defined to be an expression that has the minimal number of
parentheses. More precisely,
1. it is a composition of morphisms like `f₁ ≫ f₂ ≫ f₃ ≫ f₄ ≫ f₅` such that each `fᵢ` is
either a structural morphisms (morphisms made up only of identities, associators, unitors)
or non-structural morphisms, and
2. each non-structural morphism in the composition is of the form `X₁ ◁ X₂ ◁ X₃ ◁ f ▷ X₄ ▷ X₅`,
where each `Xᵢ` is a object that is not the identity or a tensor and `f` is a non-structural
morphisms that is not the identity or a composite.
Note that `X₁ ◁ X₂ ◁ X₃ ◁ f ▷ X₄ ▷ X₅` is actually `X₁ ◁ (X₂ ◁ (X₃ ◁ ((f ▷ X₄) ▷ X₅)))`.
Currently, the simp lemmas don't rewrite `𝟙 X ⊗ f` and `f ⊗ 𝟙 Y` into `X ◁ f` and `f ▷ Y`,
respectively, since it requires a huge refactoring. We hope to add these simp lemmas soon.
## References
* Tensor categories, Etingof, Gelaki, Nikshych, Ostrik,
http://www-math.mit.edu/~etingof/egnobookfinal.pdf
* <https://stacks.math.columbia.edu/tag/0FFK>.
-/
universe v u
open CategoryTheory.Category
open CategoryTheory.Iso
namespace CategoryTheory
/-- Auxiliary structure to carry only the data fields of (and provide notation for)
`MonoidalCategory`. -/
class MonoidalCategoryStruct (C : Type u) [𝒞 : Category.{v} C] where
/-- curried tensor product of objects -/
tensorObj : C → C → C
/-- left whiskering for morphisms -/
whiskerLeft (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) : tensorObj X Y₁ ⟶ tensorObj X Y₂
/-- right whiskering for morphisms -/
whiskerRight {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) : tensorObj X₁ Y ⟶ tensorObj X₂ Y
/-- Tensor product of identity maps is the identity: `(𝟙 X₁ ⊗ 𝟙 X₂) = 𝟙 (X₁ ⊗ X₂)` -/
-- By default, it is defined in terms of whiskerings.
tensorHom {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) : (tensorObj X₁ X₂ ⟶ tensorObj Y₁ Y₂) :=
whiskerRight f X₂ ≫ whiskerLeft Y₁ g
/-- The tensor unity in the monoidal structure `𝟙_ C` -/
tensorUnit (C) : C
/-- The associator isomorphism `(X ⊗ Y) ⊗ Z ≃ X ⊗ (Y ⊗ Z)` -/
associator : ∀ X Y Z : C, tensorObj (tensorObj X Y) Z ≅ tensorObj X (tensorObj Y Z)
/-- The left unitor: `𝟙_ C ⊗ X ≃ X` -/
leftUnitor : ∀ X : C, tensorObj tensorUnit X ≅ X
/-- The right unitor: `X ⊗ 𝟙_ C ≃ X` -/
rightUnitor : ∀ X : C, tensorObj X tensorUnit ≅ X
namespace MonoidalCategory
export MonoidalCategoryStruct
(tensorObj whiskerLeft whiskerRight tensorHom tensorUnit associator leftUnitor rightUnitor)
end MonoidalCategory
namespace MonoidalCategory
/-- Notation for `tensorObj`, the tensor product of objects in a monoidal category -/
scoped infixr:70 " ⊗ " => MonoidalCategoryStruct.tensorObj
/-- Notation for the `whiskerLeft` operator of monoidal categories -/
scoped infixr:81 " ◁ " => MonoidalCategoryStruct.whiskerLeft
/-- Notation for the `whiskerRight` operator of monoidal categories -/
scoped infixl:81 " ▷ " => MonoidalCategoryStruct.whiskerRight
/-- Notation for `tensorHom`, the tensor product of morphisms in a monoidal category -/
scoped infixr:70 " ⊗ " => MonoidalCategoryStruct.tensorHom
/-- Notation for `tensorUnit`, the two-sided identity of `⊗` -/
scoped notation "𝟙_ " C:arg => MonoidalCategoryStruct.tensorUnit C
/-- Notation for the monoidal `associator`: `(X ⊗ Y) ⊗ Z ≃ X ⊗ (Y ⊗ Z)` -/
scoped notation "α_" => MonoidalCategoryStruct.associator
/-- Notation for the `leftUnitor`: `𝟙_C ⊗ X ≃ X` -/
scoped notation "λ_" => MonoidalCategoryStruct.leftUnitor
/-- Notation for the `rightUnitor`: `X ⊗ 𝟙_C ≃ X` -/
scoped notation "ρ_" => MonoidalCategoryStruct.rightUnitor
/-- The property that the pentagon relation is satisfied by four objects
in a category equipped with a `MonoidalCategoryStruct`. -/
def Pentagon {C : Type u} [Category.{v} C] [MonoidalCategoryStruct C]
(Y₁ Y₂ Y₃ Y₄ : C) : Prop :=
(α_ Y₁ Y₂ Y₃).hom ▷ Y₄ ≫ (α_ Y₁ (Y₂ ⊗ Y₃) Y₄).hom ≫ Y₁ ◁ (α_ Y₂ Y₃ Y₄).hom =
(α_ (Y₁ ⊗ Y₂) Y₃ Y₄).hom ≫ (α_ Y₁ Y₂ (Y₃ ⊗ Y₄)).hom
end MonoidalCategory
open MonoidalCategory
/--
In a monoidal category, we can take the tensor product of objects, `X ⊗ Y` and of morphisms `f ⊗ g`.
Tensor product does not need to be strictly associative on objects, but there is a
specified associator, `α_ X Y Z : (X ⊗ Y) ⊗ Z ≅ X ⊗ (Y ⊗ Z)`. There is a tensor unit `𝟙_ C`,
with specified left and right unitor isomorphisms `λ_ X : 𝟙_ C ⊗ X ≅ X` and `ρ_ X : X ⊗ 𝟙_ C ≅ X`.
These associators and unitors satisfy the pentagon and triangle equations. -/
@[stacks 0FFK]
-- Porting note: The Mathport did not translate the temporary notation
class MonoidalCategory (C : Type u) [𝒞 : Category.{v} C] extends MonoidalCategoryStruct C where
tensorHom_def {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) :
f ⊗ g = (f ▷ X₂) ≫ (Y₁ ◁ g) := by
aesop_cat
/-- Tensor product of identity maps is the identity: `(𝟙 X₁ ⊗ 𝟙 X₂) = 𝟙 (X₁ ⊗ X₂)` -/
tensor_id : ∀ X₁ X₂ : C, 𝟙 X₁ ⊗ 𝟙 X₂ = 𝟙 (X₁ ⊗ X₂) := by aesop_cat
/--
Tensor product of compositions is composition of tensor products:
`(f₁ ≫ g₁) ⊗ (f₂ ≫ g₂) = (f₁ ⊗ f₂) ≫ (g₁ ⊗ g₂)`
-/
tensor_comp :
∀ {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : C} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁) (g₂ : Y₂ ⟶ Z₂),
(f₁ ≫ g₁) ⊗ (f₂ ≫ g₂) = (f₁ ⊗ f₂) ≫ (g₁ ⊗ g₂) := by
aesop_cat
whiskerLeft_id : ∀ (X Y : C), X ◁ 𝟙 Y = 𝟙 (X ⊗ Y) := by
aesop_cat
id_whiskerRight : ∀ (X Y : C), 𝟙 X ▷ Y = 𝟙 (X ⊗ Y) := by
aesop_cat
/-- Naturality of the associator isomorphism: `(f₁ ⊗ f₂) ⊗ f₃ ≃ f₁ ⊗ (f₂ ⊗ f₃)` -/
associator_naturality :
∀ {X₁ X₂ X₃ Y₁ Y₂ Y₃ : C} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (f₃ : X₃ ⟶ Y₃),
((f₁ ⊗ f₂) ⊗ f₃) ≫ (α_ Y₁ Y₂ Y₃).hom = (α_ X₁ X₂ X₃).hom ≫ (f₁ ⊗ (f₂ ⊗ f₃)) := by
aesop_cat
/--
Naturality of the left unitor, commutativity of `𝟙_ C ⊗ X ⟶ 𝟙_ C ⊗ Y ⟶ Y` and `𝟙_ C ⊗ X ⟶ X ⟶ Y`
-/
leftUnitor_naturality :
∀ {X Y : C} (f : X ⟶ Y), 𝟙_ _ ◁ f ≫ (λ_ Y).hom = (λ_ X).hom ≫ f := by
aesop_cat
/--
Naturality of the right unitor: commutativity of `X ⊗ 𝟙_ C ⟶ Y ⊗ 𝟙_ C ⟶ Y` and `X ⊗ 𝟙_ C ⟶ X ⟶ Y`
-/
rightUnitor_naturality :
∀ {X Y : C} (f : X ⟶ Y), f ▷ 𝟙_ _ ≫ (ρ_ Y).hom = (ρ_ X).hom ≫ f := by
aesop_cat
/--
The pentagon identity relating the isomorphism between `X ⊗ (Y ⊗ (Z ⊗ W))` and `((X ⊗ Y) ⊗ Z) ⊗ W`
-/
pentagon :
∀ W X Y Z : C,
(α_ W X Y).hom ▷ Z ≫ (α_ W (X ⊗ Y) Z).hom ≫ W ◁ (α_ X Y Z).hom =
(α_ (W ⊗ X) Y Z).hom ≫ (α_ W X (Y ⊗ Z)).hom := by
aesop_cat
/--
The identity relating the isomorphisms between `X ⊗ (𝟙_ C ⊗ Y)`, `(X ⊗ 𝟙_ C) ⊗ Y` and `X ⊗ Y`
-/
triangle :
∀ X Y : C, (α_ X (𝟙_ _) Y).hom ≫ X ◁ (λ_ Y).hom = (ρ_ X).hom ▷ Y := by
aesop_cat
attribute [reassoc] MonoidalCategory.tensorHom_def
attribute [reassoc, simp] MonoidalCategory.whiskerLeft_id
attribute [reassoc, simp] MonoidalCategory.id_whiskerRight
attribute [reassoc] MonoidalCategory.tensor_comp
attribute [simp] MonoidalCategory.tensor_comp
attribute [reassoc] MonoidalCategory.associator_naturality
attribute [reassoc] MonoidalCategory.leftUnitor_naturality
attribute [reassoc] MonoidalCategory.rightUnitor_naturality
attribute [reassoc (attr := simp)] MonoidalCategory.pentagon
attribute [reassoc (attr := simp)] MonoidalCategory.triangle
namespace MonoidalCategory
variable {C : Type u} [𝒞 : Category.{v} C] [MonoidalCategory C]
@[simp]
theorem id_tensorHom (X : C) {Y₁ Y₂ : C} (f : Y₁ ⟶ Y₂) :
𝟙 X ⊗ f = X ◁ f := by
simp [tensorHom_def]
@[simp]
theorem tensorHom_id {X₁ X₂ : C} (f : X₁ ⟶ X₂) (Y : C) :
f ⊗ 𝟙 Y = f ▷ Y := by
simp [tensorHom_def]
@[reassoc, simp]
theorem whiskerLeft_comp (W : C) {X Y Z : C} (f : X ⟶ Y) (g : Y ⟶ Z) :
W ◁ (f ≫ g) = W ◁ f ≫ W ◁ g := by
simp only [← id_tensorHom, ← tensor_comp, comp_id]
@[reassoc, simp]
theorem id_whiskerLeft {X Y : C} (f : X ⟶ Y) :
𝟙_ C ◁ f = (λ_ X).hom ≫ f ≫ (λ_ Y).inv := by
rw [← assoc, ← leftUnitor_naturality]; simp [id_tensorHom]
@[reassoc, simp]
theorem tensor_whiskerLeft (X Y : C) {Z Z' : C} (f : Z ⟶ Z') :
(X ⊗ Y) ◁ f = (α_ X Y Z).hom ≫ X ◁ Y ◁ f ≫ (α_ X Y Z').inv := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [← assoc, ← associator_naturality]
simp
@[reassoc, simp]
theorem comp_whiskerRight {W X Y : C} (f : W ⟶ X) (g : X ⟶ Y) (Z : C) :
(f ≫ g) ▷ Z = f ▷ Z ≫ g ▷ Z := by
simp only [← tensorHom_id, ← tensor_comp, id_comp]
@[reassoc, simp]
theorem whiskerRight_id {X Y : C} (f : X ⟶ Y) :
f ▷ 𝟙_ C = (ρ_ X).hom ≫ f ≫ (ρ_ Y).inv := by
rw [← assoc, ← rightUnitor_naturality]; simp [tensorHom_id]
@[reassoc, simp]
theorem whiskerRight_tensor {X X' : C} (f : X ⟶ X') (Y Z : C) :
f ▷ (Y ⊗ Z) = (α_ X Y Z).inv ≫ f ▷ Y ▷ Z ≫ (α_ X' Y Z).hom := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [associator_naturality]
simp [tensor_id]
@[reassoc, simp]
theorem whisker_assoc (X : C) {Y Y' : C} (f : Y ⟶ Y') (Z : C) :
(X ◁ f) ▷ Z = (α_ X Y Z).hom ≫ X ◁ f ▷ Z ≫ (α_ X Y' Z).inv := by
simp only [← id_tensorHom, ← tensorHom_id]
rw [← assoc, ← associator_naturality]
simp
@[reassoc]
theorem whisker_exchange {W X Y Z : C} (f : W ⟶ X) (g : Y ⟶ Z) :
W ◁ g ≫ f ▷ Z = f ▷ Y ≫ X ◁ g := by
simp only [← id_tensorHom, ← tensorHom_id, ← tensor_comp, id_comp, comp_id]
@[reassoc]
theorem tensorHom_def' {X₁ Y₁ X₂ Y₂ : C} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) :
f ⊗ g = X₁ ◁ g ≫ f ▷ Y₂ :=
whisker_exchange f g ▸ tensorHom_def f g
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv (X : C) {Y Z : C} (f : Y ≅ Z) :
X ◁ f.hom ≫ X ◁ f.inv = 𝟙 (X ⊗ Y) := by
rw [← whiskerLeft_comp, hom_inv_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight {X Y : C} (f : X ≅ Y) (Z : C) :
f.hom ▷ Z ≫ f.inv ▷ Z = 𝟙 (X ⊗ Z) := by
rw [← comp_whiskerRight, hom_inv_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom (X : C) {Y Z : C} (f : Y ≅ Z) :
X ◁ f.inv ≫ X ◁ f.hom = 𝟙 (X ⊗ Z) := by
rw [← whiskerLeft_comp, inv_hom_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight {X Y : C} (f : X ≅ Y) (Z : C) :
f.inv ▷ Z ≫ f.hom ▷ Z = 𝟙 (Y ⊗ Z) := by
rw [← comp_whiskerRight, inv_hom_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv' (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
X ◁ f ≫ X ◁ inv f = 𝟙 (X ⊗ Y) := by
rw [← whiskerLeft_comp, IsIso.hom_inv_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight' {X Y : C} (f : X ⟶ Y) [IsIso f] (Z : C) :
f ▷ Z ≫ inv f ▷ Z = 𝟙 (X ⊗ Z) := by
rw [← comp_whiskerRight, IsIso.hom_inv_id, id_whiskerRight]
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom' (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
X ◁ inv f ≫ X ◁ f = 𝟙 (X ⊗ Z) := by
rw [← whiskerLeft_comp, IsIso.inv_hom_id, whiskerLeft_id]
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight' {X Y : C} (f : X ⟶ Y) [IsIso f] (Z : C) :
inv f ▷ Z ≫ f ▷ Z = 𝟙 (Y ⊗ Z) := by
rw [← comp_whiskerRight, IsIso.inv_hom_id, id_whiskerRight]
/-- The left whiskering of an isomorphism is an isomorphism. -/
@[simps]
def whiskerLeftIso (X : C) {Y Z : C} (f : Y ≅ Z) : X ⊗ Y ≅ X ⊗ Z where
hom := X ◁ f.hom
inv := X ◁ f.inv
instance whiskerLeft_isIso (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] : IsIso (X ◁ f) :=
(whiskerLeftIso X (asIso f)).isIso_hom
@[simp]
theorem inv_whiskerLeft (X : C) {Y Z : C} (f : Y ⟶ Z) [IsIso f] :
inv (X ◁ f) = X ◁ inv f := by
aesop_cat
@[simp]
lemma whiskerLeftIso_refl (W X : C) :
whiskerLeftIso W (Iso.refl X) = Iso.refl (W ⊗ X) :=
Iso.ext (whiskerLeft_id W X)
@[simp]
lemma whiskerLeftIso_trans (W : C) {X Y Z : C} (f : X ≅ Y) (g : Y ≅ Z) :
whiskerLeftIso W (f ≪≫ g) = whiskerLeftIso W f ≪≫ whiskerLeftIso W g :=
Iso.ext (whiskerLeft_comp W f.hom g.hom)
@[simp]
lemma whiskerLeftIso_symm (W : C) {X Y : C} (f : X ≅ Y) :
(whiskerLeftIso W f).symm = whiskerLeftIso W f.symm := rfl
/-- The right whiskering of an isomorphism is an isomorphism. -/
@[simps!]
def whiskerRightIso {X Y : C} (f : X ≅ Y) (Z : C) : X ⊗ Z ≅ Y ⊗ Z where
hom := f.hom ▷ Z
inv := f.inv ▷ Z
instance whiskerRight_isIso {X Y : C} (f : X ⟶ Y) (Z : C) [IsIso f] : IsIso (f ▷ Z) :=
(whiskerRightIso (asIso f) Z).isIso_hom
@[simp]
theorem inv_whiskerRight {X Y : C} (f : X ⟶ Y) (Z : C) [IsIso f] :
inv (f ▷ Z) = inv f ▷ Z := by
aesop_cat
@[simp]
lemma whiskerRightIso_refl (X W : C) :
whiskerRightIso (Iso.refl X) W = Iso.refl (X ⊗ W) :=
Iso.ext (id_whiskerRight X W)
@[simp]
lemma whiskerRightIso_trans {X Y Z : C} (f : X ≅ Y) (g : Y ≅ Z) (W : C) :
whiskerRightIso (f ≪≫ g) W = whiskerRightIso f W ≪≫ whiskerRightIso g W :=
Iso.ext (comp_whiskerRight f.hom g.hom W)
@[simp]
lemma whiskerRightIso_symm {X Y : C} (f : X ≅ Y) (W : C) :
(whiskerRightIso f W).symm = whiskerRightIso f.symm W := rfl
/-- The tensor product of two isomorphisms is an isomorphism. -/
@[simps]
def tensorIso {X Y X' Y' : C} (f : X ≅ Y)
(g : X' ≅ Y') : X ⊗ X' ≅ Y ⊗ Y' where
hom := f.hom ⊗ g.hom
inv := f.inv ⊗ g.inv
hom_inv_id := by rw [← tensor_comp, Iso.hom_inv_id, Iso.hom_inv_id, ← tensor_id]
inv_hom_id := by rw [← tensor_comp, Iso.inv_hom_id, Iso.inv_hom_id, ← tensor_id]
/-- Notation for `tensorIso`, the tensor product of isomorphisms -/
scoped infixr:70 " ⊗ " => tensorIso
theorem tensorIso_def {X Y X' Y' : C} (f : X ≅ Y) (g : X' ≅ Y') :
f ⊗ g = whiskerRightIso f X' ≪≫ whiskerLeftIso Y g :=
Iso.ext (tensorHom_def f.hom g.hom)
theorem tensorIso_def' {X Y X' Y' : C} (f : X ≅ Y) (g : X' ≅ Y') :
f ⊗ g = whiskerLeftIso X g ≪≫ whiskerRightIso f Y' :=
Iso.ext (tensorHom_def' f.hom g.hom)
instance tensor_isIso {W X Y Z : C} (f : W ⟶ X) [IsIso f] (g : Y ⟶ Z) [IsIso g] : IsIso (f ⊗ g) :=
(asIso f ⊗ asIso g).isIso_hom
@[simp]
theorem inv_tensor {W X Y Z : C} (f : W ⟶ X) [IsIso f] (g : Y ⟶ Z) [IsIso g] :
inv (f ⊗ g) = inv f ⊗ inv g := by
simp [tensorHom_def ,whisker_exchange]
variable {W X Y Z : C}
theorem whiskerLeft_dite {P : Prop} [Decidable P]
(X : C) {Y Z : C} (f : P → (Y ⟶ Z)) (f' : ¬P → (Y ⟶ Z)) :
X ◁ (if h : P then f h else f' h) = if h : P then X ◁ f h else X ◁ f' h := by
split_ifs <;> rfl
theorem dite_whiskerRight {P : Prop} [Decidable P]
{X Y : C} (f : P → (X ⟶ Y)) (f' : ¬P → (X ⟶ Y)) (Z : C) :
(if h : P then f h else f' h) ▷ Z = if h : P then f h ▷ Z else f' h ▷ Z := by
split_ifs <;> rfl
theorem tensor_dite {P : Prop} [Decidable P] {W X Y Z : C} (f : W ⟶ X) (g : P → (Y ⟶ Z))
(g' : ¬P → (Y ⟶ Z)) : (f ⊗ if h : P then g h else g' h) =
if h : P then f ⊗ g h else f ⊗ g' h := by split_ifs <;> rfl
|
theorem dite_tensor {P : Prop} [Decidable P] {W X Y Z : C} (f : W ⟶ X) (g : P → (Y ⟶ Z))
(g' : ¬P → (Y ⟶ Z)) : (if h : P then g h else g' h) ⊗ f =
| Mathlib/CategoryTheory/Monoidal/Category.lean | 418 | 420 |
/-
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.Data.Finset.Option
import Mathlib.Algebra.BigOperators.Group.Finset.Basic
/-!
# Lemmas about products and sums over finite sets in `Option α`
In this file we prove formulas for products and sums over `Finset.insertNone s` and
`Finset.eraseNone s`.
-/
open Function
namespace Finset
variable {α M : Type*} [CommMonoid M]
@[to_additive (attr := simp)]
theorem prod_insertNone (f : Option α → M) (s : Finset α) :
∏ x ∈ insertNone s, f x = f none * ∏ x ∈ s, f (some x) := by simp [insertNone]
@[to_additive]
theorem mul_prod_eq_prod_insertNone (f : α → M) (x : M) (s : Finset α) :
x * ∏ i ∈ s, f i = ∏ i ∈ insertNone s, i.elim x f :=
(prod_insertNone (fun i => i.elim x f) _).symm
@[to_additive]
theorem prod_eraseNone (f : α → M) (s : Finset (Option α)) :
∏ x ∈ eraseNone s, f x = ∏ x ∈ s, Option.elim' 1 f x := by
classical calc
∏ x ∈ eraseNone s, f x = ∏ x ∈ (eraseNone s).map Embedding.some, Option.elim' 1 f x :=
| (prod_map (eraseNone s) Embedding.some <| Option.elim' 1 f).symm
_ = ∏ x ∈ s.erase none, Option.elim' 1 f x := by rw [map_some_eraseNone]
_ = ∏ x ∈ s, Option.elim' 1 f x := prod_erase _ rfl
end Finset
| Mathlib/Algebra/BigOperators/Option.lean | 36 | 42 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Jeremy Avigad
-/
import Mathlib.Algebra.Group.Basic
import Mathlib.Algebra.Notation.Pi
import Mathlib.Data.Set.Lattice
import Mathlib.Order.Filter.Defs
/-!
# Theory of filters on sets
A *filter* on a type `α` is a collection of sets of `α` which contains the whole `α`,
is upwards-closed, and is stable under intersection. They are mostly used to
abstract two related kinds of ideas:
* *limits*, including finite or infinite limits of sequences, finite or infinite limits of functions
at a point or at infinity, etc...
* *things happening eventually*, including things happening for large enough `n : ℕ`, or near enough
a point `x`, or for close enough pairs of points, or things happening almost everywhere in the
sense of measure theory. Dually, filters can also express the idea of *things happening often*:
for arbitrarily large `n`, or at a point in any neighborhood of given a point etc...
## Main definitions
In this file, we endow `Filter α` it with a complete lattice structure.
This structure is lifted from the lattice structure on `Set (Set X)` using the Galois
insertion which maps a filter to its elements in one direction, and an arbitrary set of sets to
the smallest filter containing it in the other direction.
We also prove `Filter` is a monadic functor, with a push-forward operation
`Filter.map` and a pull-back operation `Filter.comap` that form a Galois connections for the
order on filters.
The examples of filters appearing in the description of the two motivating ideas are:
* `(Filter.atTop : Filter ℕ)` : made of sets of `ℕ` containing `{n | n ≥ N}` for some `N`
* `𝓝 x` : made of neighborhoods of `x` in a topological space (defined in topology.basic)
* `𝓤 X` : made of entourages of a uniform space (those space are generalizations of metric spaces
defined in `Mathlib/Topology/UniformSpace/Basic.lean`)
* `MeasureTheory.ae` : made of sets whose complement has zero measure with respect to `μ`
(defined in `Mathlib/MeasureTheory/OuterMeasure/AE`)
The predicate "happening eventually" is `Filter.Eventually`, and "happening often" is
`Filter.Frequently`, whose definitions are immediate after `Filter` is defined (but they come
rather late in this file in order to immediately relate them to the lattice structure).
## Notations
* `∀ᶠ x in f, p x` : `f.Eventually p`;
* `∃ᶠ x in f, p x` : `f.Frequently p`;
* `f =ᶠ[l] g` : `∀ᶠ x in l, f x = g x`;
* `f ≤ᶠ[l] g` : `∀ᶠ x in l, f x ≤ g x`;
* `𝓟 s` : `Filter.Principal s`, localized in `Filter`.
## References
* [N. Bourbaki, *General Topology*][bourbaki1966]
Important note: Bourbaki requires that a filter on `X` cannot contain all sets of `X`, which
we do *not* require. This gives `Filter X` better formal properties, in particular a bottom element
`⊥` for its lattice structure, at the cost of including the assumption
`[NeBot f]` in a number of lemmas and definitions.
-/
assert_not_exists OrderedSemiring Fintype
open Function Set Order
open scoped symmDiff
universe u v w x y
namespace Filter
variable {α : Type u} {f g : Filter α} {s t : Set α}
instance inhabitedMem : Inhabited { s : Set α // s ∈ f } :=
⟨⟨univ, f.univ_sets⟩⟩
theorem filter_eq_iff : f = g ↔ f.sets = g.sets :=
⟨congr_arg _, filter_eq⟩
@[simp] theorem sets_subset_sets : f.sets ⊆ g.sets ↔ g ≤ f := .rfl
@[simp] theorem sets_ssubset_sets : f.sets ⊂ g.sets ↔ g < f := .rfl
/-- An extensionality lemma that is useful for filters with good lemmas about `sᶜ ∈ f` (e.g.,
`Filter.comap`, `Filter.coprod`, `Filter.Coprod`, `Filter.cofinite`). -/
protected theorem coext (h : ∀ s, sᶜ ∈ f ↔ sᶜ ∈ g) : f = g :=
Filter.ext <| compl_surjective.forall.2 h
instance : Trans (· ⊇ ·) ((· ∈ ·) : Set α → Filter α → Prop) (· ∈ ·) where
trans h₁ h₂ := mem_of_superset h₂ h₁
instance : Trans Membership.mem (· ⊆ ·) (Membership.mem : Filter α → Set α → Prop) where
trans h₁ h₂ := mem_of_superset h₁ h₂
@[simp]
theorem inter_mem_iff {s t : Set α} : s ∩ t ∈ f ↔ s ∈ f ∧ t ∈ f :=
⟨fun h => ⟨mem_of_superset h inter_subset_left, mem_of_superset h inter_subset_right⟩,
and_imp.2 inter_mem⟩
theorem diff_mem {s t : Set α} (hs : s ∈ f) (ht : tᶜ ∈ f) : s \ t ∈ f :=
inter_mem hs ht
theorem congr_sets (h : { x | x ∈ s ↔ x ∈ t } ∈ f) : s ∈ f ↔ t ∈ f :=
⟨fun hs => mp_mem hs (mem_of_superset h fun _ => Iff.mp), fun hs =>
mp_mem hs (mem_of_superset h fun _ => Iff.mpr)⟩
lemma copy_eq {S} (hmem : ∀ s, s ∈ S ↔ s ∈ f) : f.copy S hmem = f := Filter.ext hmem
/-- Weaker version of `Filter.biInter_mem` that assumes `Subsingleton β` rather than `Finite β`. -/
theorem biInter_mem' {β : Type v} {s : β → Set α} {is : Set β} (hf : is.Subsingleton) :
(⋂ i ∈ is, s i) ∈ f ↔ ∀ i ∈ is, s i ∈ f := by
apply Subsingleton.induction_on hf <;> simp
/-- Weaker version of `Filter.iInter_mem` that assumes `Subsingleton β` rather than `Finite β`. -/
theorem iInter_mem' {β : Sort v} {s : β → Set α} [Subsingleton β] :
(⋂ i, s i) ∈ f ↔ ∀ i, s i ∈ f := by
rw [← sInter_range, sInter_eq_biInter, biInter_mem' (subsingleton_range s), forall_mem_range]
theorem exists_mem_subset_iff : (∃ t ∈ f, t ⊆ s) ↔ s ∈ f :=
⟨fun ⟨_, ht, ts⟩ => mem_of_superset ht ts, fun hs => ⟨s, hs, Subset.rfl⟩⟩
theorem monotone_mem {f : Filter α} : Monotone fun s => s ∈ f := fun _ _ hst h =>
mem_of_superset h hst
theorem exists_mem_and_iff {P : Set α → Prop} {Q : Set α → Prop} (hP : Antitone P)
(hQ : Antitone Q) : ((∃ u ∈ f, P u) ∧ ∃ u ∈ f, Q u) ↔ ∃ u ∈ f, P u ∧ Q u := by
constructor
· rintro ⟨⟨u, huf, hPu⟩, v, hvf, hQv⟩
exact
⟨u ∩ v, inter_mem huf hvf, hP inter_subset_left hPu, hQ inter_subset_right hQv⟩
· rintro ⟨u, huf, hPu, hQu⟩
exact ⟨⟨u, huf, hPu⟩, u, huf, hQu⟩
theorem forall_in_swap {β : Type*} {p : Set α → β → Prop} :
(∀ a ∈ f, ∀ (b), p a b) ↔ ∀ (b), ∀ a ∈ f, p a b :=
Set.forall_in_swap
end Filter
namespace Filter
variable {α : Type u} {β : Type v} {γ : Type w} {δ : Type*} {ι : Sort x}
theorem mem_principal_self (s : Set α) : s ∈ 𝓟 s := Subset.rfl
section Lattice
variable {f g : Filter α} {s t : Set α}
protected theorem not_le : ¬f ≤ g ↔ ∃ s ∈ g, s ∉ f := by simp_rw [le_def, not_forall, exists_prop]
/-- `GenerateSets g s`: `s` is in the filter closure of `g`. -/
inductive GenerateSets (g : Set (Set α)) : Set α → Prop
| basic {s : Set α} : s ∈ g → GenerateSets g s
| univ : GenerateSets g univ
| superset {s t : Set α} : GenerateSets g s → s ⊆ t → GenerateSets g t
| inter {s t : Set α} : GenerateSets g s → GenerateSets g t → GenerateSets g (s ∩ t)
/-- `generate g` is the largest filter containing the sets `g`. -/
def generate (g : Set (Set α)) : Filter α where
sets := {s | GenerateSets g s}
univ_sets := GenerateSets.univ
sets_of_superset := GenerateSets.superset
inter_sets := GenerateSets.inter
lemma mem_generate_of_mem {s : Set <| Set α} {U : Set α} (h : U ∈ s) :
U ∈ generate s := GenerateSets.basic h
theorem le_generate_iff {s : Set (Set α)} {f : Filter α} : f ≤ generate s ↔ s ⊆ f.sets :=
Iff.intro (fun h _ hu => h <| GenerateSets.basic <| hu) fun h _ hu =>
hu.recOn (fun h' => h h') univ_mem (fun _ hxy hx => mem_of_superset hx hxy) fun _ _ hx hy =>
inter_mem hx hy
@[simp] lemma generate_singleton (s : Set α) : generate {s} = 𝓟 s :=
le_antisymm (fun _t ht ↦ mem_of_superset (mem_generate_of_mem <| mem_singleton _) ht) <|
le_generate_iff.2 <| singleton_subset_iff.2 Subset.rfl
/-- `mkOfClosure s hs` constructs a filter on `α` whose elements set is exactly
`s : Set (Set α)`, provided one gives the assumption `hs : (generate s).sets = s`. -/
protected def mkOfClosure (s : Set (Set α)) (hs : (generate s).sets = s) : Filter α where
sets := s
univ_sets := hs ▸ univ_mem
sets_of_superset := hs ▸ mem_of_superset
inter_sets := hs ▸ inter_mem
theorem mkOfClosure_sets {s : Set (Set α)} {hs : (generate s).sets = s} :
Filter.mkOfClosure s hs = generate s :=
Filter.ext fun u =>
show u ∈ (Filter.mkOfClosure s hs).sets ↔ u ∈ (generate s).sets from hs.symm ▸ Iff.rfl
/-- Galois insertion from sets of sets into filters. -/
def giGenerate (α : Type*) :
@GaloisInsertion (Set (Set α)) (Filter α)ᵒᵈ _ _ Filter.generate Filter.sets where
gc _ _ := le_generate_iff
le_l_u _ _ h := GenerateSets.basic h
choice s hs := Filter.mkOfClosure s (le_antisymm hs <| le_generate_iff.1 <| le_rfl)
choice_eq _ _ := mkOfClosure_sets
theorem mem_inf_iff {f g : Filter α} {s : Set α} : s ∈ f ⊓ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, s = t₁ ∩ t₂ :=
Iff.rfl
theorem mem_inf_of_left {f g : Filter α} {s : Set α} (h : s ∈ f) : s ∈ f ⊓ g :=
⟨s, h, univ, univ_mem, (inter_univ s).symm⟩
theorem mem_inf_of_right {f g : Filter α} {s : Set α} (h : s ∈ g) : s ∈ f ⊓ g :=
⟨univ, univ_mem, s, h, (univ_inter s).symm⟩
theorem inter_mem_inf {α : Type u} {f g : Filter α} {s t : Set α} (hs : s ∈ f) (ht : t ∈ g) :
s ∩ t ∈ f ⊓ g :=
⟨s, hs, t, ht, rfl⟩
theorem mem_inf_of_inter {f g : Filter α} {s t u : Set α} (hs : s ∈ f) (ht : t ∈ g)
(h : s ∩ t ⊆ u) : u ∈ f ⊓ g :=
mem_of_superset (inter_mem_inf hs ht) h
theorem mem_inf_iff_superset {f g : Filter α} {s : Set α} :
s ∈ f ⊓ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ∩ t₂ ⊆ s :=
⟨fun ⟨t₁, h₁, t₂, h₂, Eq⟩ => ⟨t₁, h₁, t₂, h₂, Eq ▸ Subset.rfl⟩, fun ⟨_, h₁, _, h₂, sub⟩ =>
mem_inf_of_inter h₁ h₂ sub⟩
section CompleteLattice
/-- Complete lattice structure on `Filter α`. -/
instance instCompleteLatticeFilter : CompleteLattice (Filter α) where
inf a b := min a b
sup a b := max a b
le_sup_left _ _ _ h := h.1
le_sup_right _ _ _ h := h.2
sup_le _ _ _ h₁ h₂ _ h := ⟨h₁ h, h₂ h⟩
inf_le_left _ _ _ := mem_inf_of_left
inf_le_right _ _ _ := mem_inf_of_right
le_inf := fun _ _ _ h₁ h₂ _s ⟨_a, ha, _b, hb, hs⟩ => hs.symm ▸ inter_mem (h₁ ha) (h₂ hb)
le_sSup _ _ h₁ _ h₂ := h₂ h₁
sSup_le _ _ h₁ _ h₂ _ h₃ := h₁ _ h₃ h₂
sInf_le _ _ h₁ _ h₂ := by rw [← Filter.sSup_lowerBounds]; exact fun _ h₃ ↦ h₃ h₁ h₂
le_sInf _ _ h₁ _ h₂ := by rw [← Filter.sSup_lowerBounds] at h₂; exact h₂ h₁
le_top _ _ := univ_mem'
bot_le _ _ _ := trivial
instance : Inhabited (Filter α) := ⟨⊥⟩
end CompleteLattice
theorem NeBot.ne {f : Filter α} (hf : NeBot f) : f ≠ ⊥ := hf.ne'
@[simp] theorem not_neBot {f : Filter α} : ¬f.NeBot ↔ f = ⊥ := neBot_iff.not_left
theorem NeBot.mono {f g : Filter α} (hf : NeBot f) (hg : f ≤ g) : NeBot g :=
⟨ne_bot_of_le_ne_bot hf.1 hg⟩
theorem neBot_of_le {f g : Filter α} [hf : NeBot f] (hg : f ≤ g) : NeBot g :=
hf.mono hg
@[simp] theorem sup_neBot {f g : Filter α} : NeBot (f ⊔ g) ↔ NeBot f ∨ NeBot g := by
simp only [neBot_iff, not_and_or, Ne, sup_eq_bot_iff]
theorem not_disjoint_self_iff : ¬Disjoint f f ↔ f.NeBot := by rw [disjoint_self, neBot_iff]
theorem bot_sets_eq : (⊥ : Filter α).sets = univ := rfl
/-- Either `f = ⊥` or `Filter.NeBot f`. This is a version of `eq_or_ne` that uses `Filter.NeBot`
as the second alternative, to be used as an instance. -/
theorem eq_or_neBot (f : Filter α) : f = ⊥ ∨ NeBot f := (eq_or_ne f ⊥).imp_right NeBot.mk
theorem sup_sets_eq {f g : Filter α} : (f ⊔ g).sets = f.sets ∩ g.sets :=
(giGenerate α).gc.u_inf
theorem sSup_sets_eq {s : Set (Filter α)} : (sSup s).sets = ⋂ f ∈ s, (f : Filter α).sets :=
(giGenerate α).gc.u_sInf
theorem iSup_sets_eq {f : ι → Filter α} : (iSup f).sets = ⋂ i, (f i).sets :=
(giGenerate α).gc.u_iInf
theorem generate_empty : Filter.generate ∅ = (⊤ : Filter α) :=
(giGenerate α).gc.l_bot
theorem generate_univ : Filter.generate univ = (⊥ : Filter α) :=
bot_unique fun _ _ => GenerateSets.basic (mem_univ _)
theorem generate_union {s t : Set (Set α)} :
Filter.generate (s ∪ t) = Filter.generate s ⊓ Filter.generate t :=
(giGenerate α).gc.l_sup
theorem generate_iUnion {s : ι → Set (Set α)} :
Filter.generate (⋃ i, s i) = ⨅ i, Filter.generate (s i) :=
(giGenerate α).gc.l_iSup
@[simp]
theorem mem_sup {f g : Filter α} {s : Set α} : s ∈ f ⊔ g ↔ s ∈ f ∧ s ∈ g :=
Iff.rfl
theorem union_mem_sup {f g : Filter α} {s t : Set α} (hs : s ∈ f) (ht : t ∈ g) : s ∪ t ∈ f ⊔ g :=
⟨mem_of_superset hs subset_union_left, mem_of_superset ht subset_union_right⟩
@[simp]
theorem mem_iSup {x : Set α} {f : ι → Filter α} : x ∈ iSup f ↔ ∀ i, x ∈ f i := by
simp only [← Filter.mem_sets, iSup_sets_eq, mem_iInter]
@[simp]
theorem iSup_neBot {f : ι → Filter α} : (⨆ i, f i).NeBot ↔ ∃ i, (f i).NeBot := by
simp [neBot_iff]
theorem iInf_eq_generate (s : ι → Filter α) : iInf s = generate (⋃ i, (s i).sets) :=
eq_of_forall_le_iff fun _ ↦ by simp [le_generate_iff]
theorem mem_iInf_of_mem {f : ι → Filter α} (i : ι) {s} (hs : s ∈ f i) : s ∈ ⨅ i, f i :=
iInf_le f i hs
@[simp]
theorem le_principal_iff {s : Set α} {f : Filter α} : f ≤ 𝓟 s ↔ s ∈ f :=
⟨fun h => h Subset.rfl, fun hs _ ht => mem_of_superset hs ht⟩
theorem Iic_principal (s : Set α) : Iic (𝓟 s) = { l | s ∈ l } :=
Set.ext fun _ => le_principal_iff
theorem principal_mono {s t : Set α} : 𝓟 s ≤ 𝓟 t ↔ s ⊆ t := by
simp only [le_principal_iff, mem_principal]
@[gcongr] alias ⟨_, _root_.GCongr.filter_principal_mono⟩ := principal_mono
@[mono]
theorem monotone_principal : Monotone (𝓟 : Set α → Filter α) := fun _ _ => principal_mono.2
@[simp] theorem principal_eq_iff_eq {s t : Set α} : 𝓟 s = 𝓟 t ↔ s = t := by
simp only [le_antisymm_iff, le_principal_iff, mem_principal]; rfl
@[simp] theorem join_principal_eq_sSup {s : Set (Filter α)} : join (𝓟 s) = sSup s := rfl
@[simp] theorem principal_univ : 𝓟 (univ : Set α) = ⊤ :=
top_unique <| by simp only [le_principal_iff, mem_top, eq_self_iff_true]
@[simp]
theorem principal_empty : 𝓟 (∅ : Set α) = ⊥ :=
bot_unique fun _ _ => empty_subset _
theorem generate_eq_biInf (S : Set (Set α)) : generate S = ⨅ s ∈ S, 𝓟 s :=
eq_of_forall_le_iff fun f => by simp [le_generate_iff, le_principal_iff, subset_def]
/-! ### Lattice equations -/
theorem empty_mem_iff_bot {f : Filter α} : ∅ ∈ f ↔ f = ⊥ :=
⟨fun h => bot_unique fun s _ => mem_of_superset h (empty_subset s), fun h => h.symm ▸ mem_bot⟩
theorem nonempty_of_mem {f : Filter α} [hf : NeBot f] {s : Set α} (hs : s ∈ f) : s.Nonempty :=
s.eq_empty_or_nonempty.elim (fun h => absurd hs (h.symm ▸ mt empty_mem_iff_bot.mp hf.1)) id
theorem NeBot.nonempty_of_mem {f : Filter α} (hf : NeBot f) {s : Set α} (hs : s ∈ f) : s.Nonempty :=
@Filter.nonempty_of_mem α f hf s hs
@[simp]
theorem empty_not_mem (f : Filter α) [NeBot f] : ¬∅ ∈ f := fun h => (nonempty_of_mem h).ne_empty rfl
theorem nonempty_of_neBot (f : Filter α) [NeBot f] : Nonempty α :=
nonempty_of_exists <| nonempty_of_mem (univ_mem : univ ∈ f)
theorem compl_not_mem {f : Filter α} {s : Set α} [NeBot f] (h : s ∈ f) : sᶜ ∉ f := fun hsc =>
(nonempty_of_mem (inter_mem h hsc)).ne_empty <| inter_compl_self s
theorem filter_eq_bot_of_isEmpty [IsEmpty α] (f : Filter α) : f = ⊥ :=
empty_mem_iff_bot.mp <| univ_mem' isEmptyElim
protected lemma disjoint_iff {f g : Filter α} : Disjoint f g ↔ ∃ s ∈ f, ∃ t ∈ g, Disjoint s t := by
simp only [disjoint_iff, ← empty_mem_iff_bot, mem_inf_iff, inf_eq_inter, bot_eq_empty,
@eq_comm _ ∅]
theorem disjoint_of_disjoint_of_mem {f g : Filter α} {s t : Set α} (h : Disjoint s t) (hs : s ∈ f)
(ht : t ∈ g) : Disjoint f g :=
Filter.disjoint_iff.mpr ⟨s, hs, t, ht, h⟩
theorem NeBot.not_disjoint (hf : f.NeBot) (hs : s ∈ f) (ht : t ∈ f) : ¬Disjoint s t := fun h =>
not_disjoint_self_iff.2 hf <| Filter.disjoint_iff.2 ⟨s, hs, t, ht, h⟩
theorem inf_eq_bot_iff {f g : Filter α} : f ⊓ g = ⊥ ↔ ∃ U ∈ f, ∃ V ∈ g, U ∩ V = ∅ := by
simp only [← disjoint_iff, Filter.disjoint_iff, Set.disjoint_iff_inter_eq_empty]
/-- There is exactly one filter on an empty type. -/
instance unique [IsEmpty α] : Unique (Filter α) where
default := ⊥
uniq := filter_eq_bot_of_isEmpty
theorem NeBot.nonempty (f : Filter α) [hf : f.NeBot] : Nonempty α :=
not_isEmpty_iff.mp fun _ ↦ hf.ne (Subsingleton.elim _ _)
/-- There are only two filters on a `Subsingleton`: `⊥` and `⊤`. If the type is empty, then they are
equal. -/
theorem eq_top_of_neBot [Subsingleton α] (l : Filter α) [NeBot l] : l = ⊤ := by
refine top_unique fun s hs => ?_
obtain rfl : s = univ := Subsingleton.eq_univ_of_nonempty (nonempty_of_mem hs)
exact univ_mem
theorem forall_mem_nonempty_iff_neBot {f : Filter α} :
(∀ s : Set α, s ∈ f → s.Nonempty) ↔ NeBot f :=
⟨fun h => ⟨fun hf => not_nonempty_empty (h ∅ <| hf.symm ▸ mem_bot)⟩, @nonempty_of_mem _ _⟩
instance instNeBotTop [Nonempty α] : NeBot (⊤ : Filter α) :=
forall_mem_nonempty_iff_neBot.1 fun s hs => by rwa [mem_top.1 hs, ← nonempty_iff_univ_nonempty]
instance instNontrivialFilter [Nonempty α] : Nontrivial (Filter α) :=
⟨⟨⊤, ⊥, instNeBotTop.ne⟩⟩
theorem nontrivial_iff_nonempty : Nontrivial (Filter α) ↔ Nonempty α :=
⟨fun _ =>
by_contra fun h' =>
haveI := not_nonempty_iff.1 h'
not_subsingleton (Filter α) inferInstance,
@Filter.instNontrivialFilter α⟩
theorem eq_sInf_of_mem_iff_exists_mem {S : Set (Filter α)} {l : Filter α}
(h : ∀ {s}, s ∈ l ↔ ∃ f ∈ S, s ∈ f) : l = sInf S :=
le_antisymm (le_sInf fun f hf _ hs => h.2 ⟨f, hf, hs⟩)
fun _ hs => let ⟨_, hf, hs⟩ := h.1 hs; (sInf_le hf) hs
theorem eq_iInf_of_mem_iff_exists_mem {f : ι → Filter α} {l : Filter α}
(h : ∀ {s}, s ∈ l ↔ ∃ i, s ∈ f i) : l = iInf f :=
eq_sInf_of_mem_iff_exists_mem <| h.trans (exists_range_iff (p := (_ ∈ ·))).symm
theorem eq_biInf_of_mem_iff_exists_mem {f : ι → Filter α} {p : ι → Prop} {l : Filter α}
(h : ∀ {s}, s ∈ l ↔ ∃ i, p i ∧ s ∈ f i) : l = ⨅ (i) (_ : p i), f i := by
rw [iInf_subtype']
exact eq_iInf_of_mem_iff_exists_mem fun {_} => by simp only [Subtype.exists, h, exists_prop]
theorem iInf_sets_eq {f : ι → Filter α} (h : Directed (· ≥ ·) f) [ne : Nonempty ι] :
(iInf f).sets = ⋃ i, (f i).sets :=
let ⟨i⟩ := ne
let u :=
{ sets := ⋃ i, (f i).sets
univ_sets := mem_iUnion.2 ⟨i, univ_mem⟩
sets_of_superset := by
simp only [mem_iUnion, exists_imp]
exact fun i hx hxy => ⟨i, mem_of_superset hx hxy⟩
inter_sets := by
simp only [mem_iUnion, exists_imp]
intro x y a hx b hy
rcases h a b with ⟨c, ha, hb⟩
exact ⟨c, inter_mem (ha hx) (hb hy)⟩ }
have : u = iInf f := eq_iInf_of_mem_iff_exists_mem mem_iUnion
congr_arg Filter.sets this.symm
theorem mem_iInf_of_directed {f : ι → Filter α} (h : Directed (· ≥ ·) f) [Nonempty ι] (s) :
s ∈ iInf f ↔ ∃ i, s ∈ f i := by
simp only [← Filter.mem_sets, iInf_sets_eq h, mem_iUnion]
theorem mem_biInf_of_directed {f : β → Filter α} {s : Set β} (h : DirectedOn (f ⁻¹'o (· ≥ ·)) s)
(ne : s.Nonempty) {t : Set α} : (t ∈ ⨅ i ∈ s, f i) ↔ ∃ i ∈ s, t ∈ f i := by
haveI := ne.to_subtype
simp_rw [iInf_subtype', mem_iInf_of_directed h.directed_val, Subtype.exists, exists_prop]
theorem biInf_sets_eq {f : β → Filter α} {s : Set β} (h : DirectedOn (f ⁻¹'o (· ≥ ·)) s)
(ne : s.Nonempty) : (⨅ i ∈ s, f i).sets = ⋃ i ∈ s, (f i).sets :=
ext fun t => by simp [mem_biInf_of_directed h ne]
@[simp]
theorem sup_join {f₁ f₂ : Filter (Filter α)} : join f₁ ⊔ join f₂ = join (f₁ ⊔ f₂) :=
Filter.ext fun x => by simp only [mem_sup, mem_join]
@[simp]
theorem iSup_join {ι : Sort w} {f : ι → Filter (Filter α)} : ⨆ x, join (f x) = join (⨆ x, f x) :=
Filter.ext fun x => by simp only [mem_iSup, mem_join]
instance : DistribLattice (Filter α) :=
{ Filter.instCompleteLatticeFilter with
le_sup_inf := by
intro x y z s
simp only [and_assoc, mem_inf_iff, mem_sup, exists_prop, exists_imp, and_imp]
rintro hs t₁ ht₁ t₂ ht₂ rfl
exact
⟨t₁, x.sets_of_superset hs inter_subset_left, ht₁, t₂,
x.sets_of_superset hs inter_subset_right, ht₂, rfl⟩ }
/-- If `f : ι → Filter α` is directed, `ι` is not empty, and `∀ i, f i ≠ ⊥`, then `iInf f ≠ ⊥`.
See also `iInf_neBot_of_directed` for a version assuming `Nonempty α` instead of `Nonempty ι`. -/
theorem iInf_neBot_of_directed' {f : ι → Filter α} [Nonempty ι] (hd : Directed (· ≥ ·) f) :
(∀ i, NeBot (f i)) → NeBot (iInf f) :=
not_imp_not.1 <| by simpa only [not_forall, not_neBot, ← empty_mem_iff_bot,
mem_iInf_of_directed hd] using id
/-- If `f : ι → Filter α` is directed, `α` is not empty, and `∀ i, f i ≠ ⊥`, then `iInf f ≠ ⊥`.
See also `iInf_neBot_of_directed'` for a version assuming `Nonempty ι` instead of `Nonempty α`. -/
theorem iInf_neBot_of_directed {f : ι → Filter α} [hn : Nonempty α] (hd : Directed (· ≥ ·) f)
(hb : ∀ i, NeBot (f i)) : NeBot (iInf f) := by
cases isEmpty_or_nonempty ι
· constructor
simp [iInf_of_empty f, top_ne_bot]
· exact iInf_neBot_of_directed' hd hb
theorem sInf_neBot_of_directed' {s : Set (Filter α)} (hne : s.Nonempty) (hd : DirectedOn (· ≥ ·) s)
(hbot : ⊥ ∉ s) : NeBot (sInf s) :=
(sInf_eq_iInf' s).symm ▸
@iInf_neBot_of_directed' _ _ _ hne.to_subtype hd.directed_val fun ⟨_, hf⟩ =>
⟨ne_of_mem_of_not_mem hf hbot⟩
theorem sInf_neBot_of_directed [Nonempty α] {s : Set (Filter α)} (hd : DirectedOn (· ≥ ·) s)
(hbot : ⊥ ∉ s) : NeBot (sInf s) :=
(sInf_eq_iInf' s).symm ▸
iInf_neBot_of_directed hd.directed_val fun ⟨_, hf⟩ => ⟨ne_of_mem_of_not_mem hf hbot⟩
theorem iInf_neBot_iff_of_directed' {f : ι → Filter α} [Nonempty ι] (hd : Directed (· ≥ ·) f) :
NeBot (iInf f) ↔ ∀ i, NeBot (f i) :=
⟨fun H i => H.mono (iInf_le _ i), iInf_neBot_of_directed' hd⟩
theorem iInf_neBot_iff_of_directed {f : ι → Filter α} [Nonempty α] (hd : Directed (· ≥ ·) f) :
NeBot (iInf f) ↔ ∀ i, NeBot (f i) :=
⟨fun H i => H.mono (iInf_le _ i), iInf_neBot_of_directed hd⟩
/-! #### `principal` equations -/
@[simp]
theorem inf_principal {s t : Set α} : 𝓟 s ⊓ 𝓟 t = 𝓟 (s ∩ t) :=
le_antisymm
(by simp only [le_principal_iff, mem_inf_iff]; exact ⟨s, Subset.rfl, t, Subset.rfl, rfl⟩)
(by simp [le_inf_iff, inter_subset_left, inter_subset_right])
@[simp]
theorem sup_principal {s t : Set α} : 𝓟 s ⊔ 𝓟 t = 𝓟 (s ∪ t) :=
Filter.ext fun u => by simp only [union_subset_iff, mem_sup, mem_principal]
@[simp]
theorem iSup_principal {ι : Sort w} {s : ι → Set α} : ⨆ x, 𝓟 (s x) = 𝓟 (⋃ i, s i) :=
Filter.ext fun x => by simp only [mem_iSup, mem_principal, iUnion_subset_iff]
@[simp]
theorem principal_eq_bot_iff {s : Set α} : 𝓟 s = ⊥ ↔ s = ∅ :=
empty_mem_iff_bot.symm.trans <| mem_principal.trans subset_empty_iff
@[simp]
theorem principal_neBot_iff {s : Set α} : NeBot (𝓟 s) ↔ s.Nonempty :=
neBot_iff.trans <| (not_congr principal_eq_bot_iff).trans nonempty_iff_ne_empty.symm
alias ⟨_, _root_.Set.Nonempty.principal_neBot⟩ := principal_neBot_iff
theorem isCompl_principal (s : Set α) : IsCompl (𝓟 s) (𝓟 sᶜ) :=
IsCompl.of_eq (by rw [inf_principal, inter_compl_self, principal_empty]) <| by
rw [sup_principal, union_compl_self, principal_univ]
theorem mem_inf_principal' {f : Filter α} {s t : Set α} : s ∈ f ⊓ 𝓟 t ↔ tᶜ ∪ s ∈ f := by
simp only [← le_principal_iff, (isCompl_principal s).le_left_iff, disjoint_assoc, inf_principal,
← (isCompl_principal (t ∩ sᶜ)).le_right_iff, compl_inter, compl_compl]
lemma mem_inf_principal {f : Filter α} {s t : Set α} : s ∈ f ⊓ 𝓟 t ↔ { x | x ∈ t → x ∈ s } ∈ f := by
simp only [mem_inf_principal', imp_iff_not_or, setOf_or, compl_def, setOf_mem_eq]
lemma iSup_inf_principal (f : ι → Filter α) (s : Set α) : ⨆ i, f i ⊓ 𝓟 s = (⨆ i, f i) ⊓ 𝓟 s := by
ext
simp only [mem_iSup, mem_inf_principal]
theorem inf_principal_eq_bot {f : Filter α} {s : Set α} : f ⊓ 𝓟 s = ⊥ ↔ sᶜ ∈ f := by
rw [← empty_mem_iff_bot, mem_inf_principal]
simp only [mem_empty_iff_false, imp_false, compl_def]
theorem mem_of_eq_bot {f : Filter α} {s : Set α} (h : f ⊓ 𝓟 sᶜ = ⊥) : s ∈ f := by
rwa [inf_principal_eq_bot, compl_compl] at h
theorem diff_mem_inf_principal_compl {f : Filter α} {s : Set α} (hs : s ∈ f) (t : Set α) :
s \ t ∈ f ⊓ 𝓟 tᶜ :=
inter_mem_inf hs <| mem_principal_self tᶜ
theorem principal_le_iff {s : Set α} {f : Filter α} : 𝓟 s ≤ f ↔ ∀ V ∈ f, s ⊆ V := by
simp_rw [le_def, mem_principal]
end Lattice
@[mono, gcongr]
theorem join_mono {f₁ f₂ : Filter (Filter α)} (h : f₁ ≤ f₂) : join f₁ ≤ join f₂ := fun _ hs => h hs
/-! ### Eventually -/
theorem eventually_iff {f : Filter α} {P : α → Prop} : (∀ᶠ x in f, P x) ↔ { x | P x } ∈ f :=
Iff.rfl
@[simp]
theorem eventually_mem_set {s : Set α} {l : Filter α} : (∀ᶠ x in l, x ∈ s) ↔ s ∈ l :=
Iff.rfl
protected theorem ext' {f₁ f₂ : Filter α}
(h : ∀ p : α → Prop, (∀ᶠ x in f₁, p x) ↔ ∀ᶠ x in f₂, p x) : f₁ = f₂ :=
Filter.ext h
theorem Eventually.filter_mono {f₁ f₂ : Filter α} (h : f₁ ≤ f₂) {p : α → Prop}
(hp : ∀ᶠ x in f₂, p x) : ∀ᶠ x in f₁, p x :=
h hp
theorem eventually_of_mem {f : Filter α} {P : α → Prop} {U : Set α} (hU : U ∈ f)
(h : ∀ x ∈ U, P x) : ∀ᶠ x in f, P x :=
mem_of_superset hU h
protected theorem Eventually.and {p q : α → Prop} {f : Filter α} :
f.Eventually p → f.Eventually q → ∀ᶠ x in f, p x ∧ q x :=
inter_mem
@[simp] theorem eventually_true (f : Filter α) : ∀ᶠ _ in f, True := univ_mem
theorem Eventually.of_forall {p : α → Prop} {f : Filter α} (hp : ∀ x, p x) : ∀ᶠ x in f, p x :=
univ_mem' hp
@[simp]
theorem eventually_false_iff_eq_bot {f : Filter α} : (∀ᶠ _ in f, False) ↔ f = ⊥ :=
empty_mem_iff_bot
@[simp]
theorem eventually_const {f : Filter α} [t : NeBot f] {p : Prop} : (∀ᶠ _ in f, p) ↔ p := by
by_cases h : p <;> simp [h, t.ne]
theorem eventually_iff_exists_mem {p : α → Prop} {f : Filter α} :
(∀ᶠ x in f, p x) ↔ ∃ v ∈ f, ∀ y ∈ v, p y :=
exists_mem_subset_iff.symm
theorem Eventually.exists_mem {p : α → Prop} {f : Filter α} (hp : ∀ᶠ x in f, p x) :
∃ v ∈ f, ∀ y ∈ v, p y :=
eventually_iff_exists_mem.1 hp
theorem Eventually.mp {p q : α → Prop} {f : Filter α} (hp : ∀ᶠ x in f, p x)
(hq : ∀ᶠ x in f, p x → q x) : ∀ᶠ x in f, q x :=
mp_mem hp hq
theorem Eventually.mono {p q : α → Prop} {f : Filter α} (hp : ∀ᶠ x in f, p x)
(hq : ∀ x, p x → q x) : ∀ᶠ x in f, q x :=
hp.mp (Eventually.of_forall hq)
theorem forall_eventually_of_eventually_forall {f : Filter α} {p : α → β → Prop}
(h : ∀ᶠ x in f, ∀ y, p x y) : ∀ y, ∀ᶠ x in f, p x y :=
fun y => h.mono fun _ h => h y
@[simp]
theorem eventually_and {p q : α → Prop} {f : Filter α} :
(∀ᶠ x in f, p x ∧ q x) ↔ (∀ᶠ x in f, p x) ∧ ∀ᶠ x in f, q x :=
inter_mem_iff
theorem Eventually.congr {f : Filter α} {p q : α → Prop} (h' : ∀ᶠ x in f, p x)
(h : ∀ᶠ x in f, p x ↔ q x) : ∀ᶠ x in f, q x :=
h'.mp (h.mono fun _ hx => hx.mp)
theorem eventually_congr {f : Filter α} {p q : α → Prop} (h : ∀ᶠ x in f, p x ↔ q x) :
(∀ᶠ x in f, p x) ↔ ∀ᶠ x in f, q x :=
⟨fun hp => hp.congr h, fun hq => hq.congr <| by simpa only [Iff.comm] using h⟩
@[simp]
theorem eventually_or_distrib_left {f : Filter α} {p : Prop} {q : α → Prop} :
(∀ᶠ x in f, p ∨ q x) ↔ p ∨ ∀ᶠ x in f, q x :=
by_cases (fun h : p => by simp [h]) fun h => by simp [h]
@[simp]
theorem eventually_or_distrib_right {f : Filter α} {p : α → Prop} {q : Prop} :
(∀ᶠ x in f, p x ∨ q) ↔ (∀ᶠ x in f, p x) ∨ q := by
simp only [@or_comm _ q, eventually_or_distrib_left]
theorem eventually_imp_distrib_left {f : Filter α} {p : Prop} {q : α → Prop} :
(∀ᶠ x in f, p → q x) ↔ p → ∀ᶠ x in f, q x := by
simp only [imp_iff_not_or, eventually_or_distrib_left]
@[simp]
theorem eventually_bot {p : α → Prop} : ∀ᶠ x in ⊥, p x :=
⟨⟩
@[simp]
theorem eventually_top {p : α → Prop} : (∀ᶠ x in ⊤, p x) ↔ ∀ x, p x :=
Iff.rfl
@[simp]
theorem eventually_sup {p : α → Prop} {f g : Filter α} :
(∀ᶠ x in f ⊔ g, p x) ↔ (∀ᶠ x in f, p x) ∧ ∀ᶠ x in g, p x :=
Iff.rfl
@[simp]
theorem eventually_sSup {p : α → Prop} {fs : Set (Filter α)} :
(∀ᶠ x in sSup fs, p x) ↔ ∀ f ∈ fs, ∀ᶠ x in f, p x :=
Iff.rfl
@[simp]
theorem eventually_iSup {p : α → Prop} {fs : ι → Filter α} :
(∀ᶠ x in ⨆ b, fs b, p x) ↔ ∀ b, ∀ᶠ x in fs b, p x :=
mem_iSup
@[simp]
theorem eventually_principal {a : Set α} {p : α → Prop} : (∀ᶠ x in 𝓟 a, p x) ↔ ∀ x ∈ a, p x :=
Iff.rfl
theorem Eventually.forall_mem {α : Type*} {f : Filter α} {s : Set α} {P : α → Prop}
(hP : ∀ᶠ x in f, P x) (hf : 𝓟 s ≤ f) : ∀ x ∈ s, P x :=
Filter.eventually_principal.mp (hP.filter_mono hf)
theorem eventually_inf {f g : Filter α} {p : α → Prop} :
(∀ᶠ x in f ⊓ g, p x) ↔ ∃ s ∈ f, ∃ t ∈ g, ∀ x ∈ s ∩ t, p x :=
mem_inf_iff_superset
theorem eventually_inf_principal {f : Filter α} {p : α → Prop} {s : Set α} :
(∀ᶠ x in f ⊓ 𝓟 s, p x) ↔ ∀ᶠ x in f, x ∈ s → p x :=
mem_inf_principal
theorem eventually_iff_all_subsets {f : Filter α} {p : α → Prop} :
(∀ᶠ x in f, p x) ↔ ∀ (s : Set α), ∀ᶠ x in f, x ∈ s → p x where
mp h _ := by filter_upwards [h] with _ pa _ using pa
mpr h := by filter_upwards [h univ] with _ pa using pa (by simp)
/-! ### Frequently -/
theorem Eventually.frequently {f : Filter α} [NeBot f] {p : α → Prop} (h : ∀ᶠ x in f, p x) :
∃ᶠ x in f, p x :=
compl_not_mem h
theorem Frequently.of_forall {f : Filter α} [NeBot f] {p : α → Prop} (h : ∀ x, p x) :
∃ᶠ x in f, p x :=
Eventually.frequently (Eventually.of_forall h)
theorem Frequently.mp {p q : α → Prop} {f : Filter α} (h : ∃ᶠ x in f, p x)
(hpq : ∀ᶠ x in f, p x → q x) : ∃ᶠ x in f, q x :=
mt (fun hq => hq.mp <| hpq.mono fun _ => mt) h
lemma frequently_congr {p q : α → Prop} {f : Filter α} (h : ∀ᶠ x in f, p x ↔ q x) :
(∃ᶠ x in f, p x) ↔ ∃ᶠ x in f, q x :=
⟨fun h' ↦ h'.mp (h.mono fun _ ↦ Iff.mp), fun h' ↦ h'.mp (h.mono fun _ ↦ Iff.mpr)⟩
theorem Frequently.filter_mono {p : α → Prop} {f g : Filter α} (h : ∃ᶠ x in f, p x) (hle : f ≤ g) :
∃ᶠ x in g, p x :=
mt (fun h' => h'.filter_mono hle) h
theorem Frequently.mono {p q : α → Prop} {f : Filter α} (h : ∃ᶠ x in f, p x)
(hpq : ∀ x, p x → q x) : ∃ᶠ x in f, q x :=
h.mp (Eventually.of_forall hpq)
theorem Frequently.and_eventually {p q : α → Prop} {f : Filter α} (hp : ∃ᶠ x in f, p x)
(hq : ∀ᶠ x in f, q x) : ∃ᶠ x in f, p x ∧ q x := by
refine mt (fun h => hq.mp <| h.mono ?_) hp
exact fun x hpq hq hp => hpq ⟨hp, hq⟩
theorem Eventually.and_frequently {p q : α → Prop} {f : Filter α} (hp : ∀ᶠ x in f, p x)
(hq : ∃ᶠ x in f, q x) : ∃ᶠ x in f, p x ∧ q x := by
simpa only [and_comm] using hq.and_eventually hp
theorem Frequently.exists {p : α → Prop} {f : Filter α} (hp : ∃ᶠ x in f, p x) : ∃ x, p x := by
by_contra H
replace H : ∀ᶠ x in f, ¬p x := Eventually.of_forall (not_exists.1 H)
exact hp H
theorem Eventually.exists {p : α → Prop} {f : Filter α} [NeBot f] (hp : ∀ᶠ x in f, p x) :
∃ x, p x :=
hp.frequently.exists
lemma frequently_iff_neBot {l : Filter α} {p : α → Prop} :
(∃ᶠ x in l, p x) ↔ NeBot (l ⊓ 𝓟 {x | p x}) := by
rw [neBot_iff, Ne, inf_principal_eq_bot]; rfl
lemma frequently_mem_iff_neBot {l : Filter α} {s : Set α} : (∃ᶠ x in l, x ∈ s) ↔ NeBot (l ⊓ 𝓟 s) :=
frequently_iff_neBot
theorem frequently_iff_forall_eventually_exists_and {p : α → Prop} {f : Filter α} :
(∃ᶠ x in f, p x) ↔ ∀ {q : α → Prop}, (∀ᶠ x in f, q x) → ∃ x, p x ∧ q x :=
⟨fun hp _ hq => (hp.and_eventually hq).exists, fun H hp => by
simpa only [and_not_self_iff, exists_false] using H hp⟩
theorem frequently_iff {f : Filter α} {P : α → Prop} :
(∃ᶠ x in f, P x) ↔ ∀ {U}, U ∈ f → ∃ x ∈ U, P x := by
simp only [frequently_iff_forall_eventually_exists_and, @and_comm (P _)]
rfl
@[simp]
theorem not_eventually {p : α → Prop} {f : Filter α} : (¬∀ᶠ x in f, p x) ↔ ∃ᶠ x in f, ¬p x := by
simp [Filter.Frequently]
@[simp]
theorem not_frequently {p : α → Prop} {f : Filter α} : (¬∃ᶠ x in f, p x) ↔ ∀ᶠ x in f, ¬p x := by
simp only [Filter.Frequently, not_not]
@[simp]
theorem frequently_true_iff_neBot (f : Filter α) : (∃ᶠ _ in f, True) ↔ NeBot f := by
simp [frequently_iff_neBot]
@[simp]
theorem frequently_false (f : Filter α) : ¬∃ᶠ _ in f, False := by simp
@[simp]
theorem frequently_const {f : Filter α} [NeBot f] {p : Prop} : (∃ᶠ _ in f, p) ↔ p := by
by_cases p <;> simp [*]
@[simp]
theorem frequently_or_distrib {f : Filter α} {p q : α → Prop} :
(∃ᶠ x in f, p x ∨ q x) ↔ (∃ᶠ x in f, p x) ∨ ∃ᶠ x in f, q x := by
simp only [Filter.Frequently, ← not_and_or, not_or, eventually_and]
theorem frequently_or_distrib_left {f : Filter α} [NeBot f] {p : Prop} {q : α → Prop} :
(∃ᶠ x in f, p ∨ q x) ↔ p ∨ ∃ᶠ x in f, q x := by simp
theorem frequently_or_distrib_right {f : Filter α} [NeBot f] {p : α → Prop} {q : Prop} :
(∃ᶠ x in f, p x ∨ q) ↔ (∃ᶠ x in f, p x) ∨ q := by simp
theorem frequently_imp_distrib {f : Filter α} {p q : α → Prop} :
(∃ᶠ x in f, p x → q x) ↔ (∀ᶠ x in f, p x) → ∃ᶠ x in f, q x := by
simp [imp_iff_not_or]
theorem frequently_imp_distrib_left {f : Filter α} [NeBot f] {p : Prop} {q : α → Prop} :
(∃ᶠ x in f, p → q x) ↔ p → ∃ᶠ x in f, q x := by simp [frequently_imp_distrib]
theorem frequently_imp_distrib_right {f : Filter α} [NeBot f] {p : α → Prop} {q : Prop} :
(∃ᶠ x in f, p x → q) ↔ (∀ᶠ x in f, p x) → q := by
simp only [frequently_imp_distrib, frequently_const]
theorem eventually_imp_distrib_right {f : Filter α} {p : α → Prop} {q : Prop} :
(∀ᶠ x in f, p x → q) ↔ (∃ᶠ x in f, p x) → q := by
simp only [imp_iff_not_or, eventually_or_distrib_right, not_frequently]
@[simp]
theorem frequently_and_distrib_left {f : Filter α} {p : Prop} {q : α → Prop} :
(∃ᶠ x in f, p ∧ q x) ↔ p ∧ ∃ᶠ x in f, q x := by
simp only [Filter.Frequently, not_and, eventually_imp_distrib_left, Classical.not_imp]
@[simp]
theorem frequently_and_distrib_right {f : Filter α} {p : α → Prop} {q : Prop} :
(∃ᶠ x in f, p x ∧ q) ↔ (∃ᶠ x in f, p x) ∧ q := by
simp only [@and_comm _ q, frequently_and_distrib_left]
@[simp]
theorem frequently_bot {p : α → Prop} : ¬∃ᶠ x in ⊥, p x := by simp
@[simp]
theorem frequently_top {p : α → Prop} : (∃ᶠ x in ⊤, p x) ↔ ∃ x, p x := by simp [Filter.Frequently]
@[simp]
theorem frequently_principal {a : Set α} {p : α → Prop} : (∃ᶠ x in 𝓟 a, p x) ↔ ∃ x ∈ a, p x := by
simp [Filter.Frequently, not_forall]
theorem frequently_inf_principal {f : Filter α} {s : Set α} {p : α → Prop} :
(∃ᶠ x in f ⊓ 𝓟 s, p x) ↔ ∃ᶠ x in f, x ∈ s ∧ p x := by
simp only [Filter.Frequently, eventually_inf_principal, not_and]
alias ⟨Frequently.of_inf_principal, Frequently.inf_principal⟩ := frequently_inf_principal
theorem frequently_sup {p : α → Prop} {f g : Filter α} :
(∃ᶠ x in f ⊔ g, p x) ↔ (∃ᶠ x in f, p x) ∨ ∃ᶠ x in g, p x := by
simp only [Filter.Frequently, eventually_sup, not_and_or]
@[simp]
theorem frequently_sSup {p : α → Prop} {fs : Set (Filter α)} :
(∃ᶠ x in sSup fs, p x) ↔ ∃ f ∈ fs, ∃ᶠ x in f, p x := by
simp only [Filter.Frequently, not_forall, eventually_sSup, exists_prop]
@[simp]
theorem frequently_iSup {p : α → Prop} {fs : β → Filter α} :
(∃ᶠ x in ⨆ b, fs b, p x) ↔ ∃ b, ∃ᶠ x in fs b, p x := by
simp only [Filter.Frequently, eventually_iSup, not_forall]
theorem Eventually.choice {r : α → β → Prop} {l : Filter α} [l.NeBot] (h : ∀ᶠ x in l, ∃ y, r x y) :
∃ f : α → β, ∀ᶠ x in l, r x (f x) := by
haveI : Nonempty β := let ⟨_, hx⟩ := h.exists; hx.nonempty
choose! f hf using fun x (hx : ∃ y, r x y) => hx
exact ⟨f, h.mono hf⟩
lemma skolem {ι : Type*} {α : ι → Type*} [∀ i, Nonempty (α i)]
{P : ∀ i : ι, α i → Prop} {F : Filter ι} :
(∀ᶠ i in F, ∃ b, P i b) ↔ ∃ b : (Π i, α i), ∀ᶠ i in F, P i (b i) := by
classical
refine ⟨fun H ↦ ?_, fun ⟨b, hb⟩ ↦ hb.mp (.of_forall fun x a ↦ ⟨_, a⟩)⟩
refine ⟨fun i ↦ if h : ∃ b, P i b then h.choose else Nonempty.some inferInstance, ?_⟩
filter_upwards [H] with i hi
exact dif_pos hi ▸ hi.choose_spec
/-!
### Relation “eventually equal”
-/
section EventuallyEq
variable {l : Filter α} {f g : α → β}
theorem EventuallyEq.eventually (h : f =ᶠ[l] g) : ∀ᶠ x in l, f x = g x := h
@[simp] lemma eventuallyEq_top : f =ᶠ[⊤] g ↔ f = g := by simp [EventuallyEq, funext_iff]
theorem EventuallyEq.rw {l : Filter α} {f g : α → β} (h : f =ᶠ[l] g) (p : α → β → Prop)
(hf : ∀ᶠ x in l, p x (f x)) : ∀ᶠ x in l, p x (g x) :=
hf.congr <| h.mono fun _ hx => hx ▸ Iff.rfl
theorem eventuallyEq_set {s t : Set α} {l : Filter α} : s =ᶠ[l] t ↔ ∀ᶠ x in l, x ∈ s ↔ x ∈ t :=
eventually_congr <| Eventually.of_forall fun _ ↦ eq_iff_iff
alias ⟨EventuallyEq.mem_iff, Eventually.set_eq⟩ := eventuallyEq_set
@[simp]
theorem eventuallyEq_univ {s : Set α} {l : Filter α} : s =ᶠ[l] univ ↔ s ∈ l := by
simp [eventuallyEq_set]
theorem EventuallyEq.exists_mem {l : Filter α} {f g : α → β} (h : f =ᶠ[l] g) :
∃ s ∈ l, EqOn f g s :=
Eventually.exists_mem h
theorem eventuallyEq_of_mem {l : Filter α} {f g : α → β} {s : Set α} (hs : s ∈ l) (h : EqOn f g s) :
| f =ᶠ[l] g :=
eventually_of_mem hs h
| Mathlib/Order/Filter/Basic.lean | 884 | 885 |
/-
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) :
| Mathlib/SetTheory/Cardinal/Basic.lean | 728 | 732 |
/-
Copyright (c) 2023 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import Mathlib.LinearAlgebra.BilinearForm.TensorProduct
import Mathlib.LinearAlgebra.QuadraticForm.Basic
/-!
# The quadratic form on a tensor product
## Main definitions
* `QuadraticForm.tensorDistrib (Q₁ ⊗ₜ Q₂)`: the quadratic form on `M₁ ⊗ M₂` constructed by applying
`Q₁` on `M₁` and `Q₂` on `M₂`. This construction is not available in characteristic two.
-/
universe uR uA uM₁ uM₂ uN₁ uN₂
variable {R : Type uR} {A : Type uA} {M₁ : Type uM₁} {M₂ : Type uM₂} {N₁ : Type uN₁} {N₂ : Type uN₂}
open LinearMap (BilinMap BilinForm)
open TensorProduct QuadraticMap
section CommRing
variable [CommRing R] [CommRing A]
variable [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup N₁] [AddCommGroup N₂]
variable [Algebra R A] [Module R M₁] [Module A M₁] [Module R N₁] [Module A N₁]
variable [SMulCommClass R A M₁] [IsScalarTower R A M₁] [IsScalarTower R A N₁]
variable [Module R M₂] [Module R N₂]
section InvertibleTwo
variable [Invertible (2 : R)]
namespace QuadraticMap
variable (R A) in
/-- The tensor product of two quadratic maps injects into quadratic maps on tensor products.
Note this is heterobasic; the quadratic map on the left can take values in a module over a larger
ring than the one on the right. -/
-- `noncomputable` is a performance workaround for https://github.com/leanprover-community/mathlib4/issues/7103
noncomputable def tensorDistrib :
QuadraticMap A M₁ N₁ ⊗[R] QuadraticMap R M₂ N₂ →ₗ[A] QuadraticMap A (M₁ ⊗[R] M₂) (N₁ ⊗[R] N₂) :=
letI : Invertible (2 : A) := (Invertible.map (algebraMap R A) 2).copy 2 (map_ofNat _ _).symm
-- while `letI`s would produce a better term than `let`, they would make this already-slow
-- definition even slower.
let toQ := BilinMap.toQuadraticMapLinearMap A A (M₁ ⊗[R] M₂)
let tmulB := BilinMap.tensorDistrib R A (M₁ := M₁) (M₂ := M₂)
let toB := AlgebraTensorModule.map
(QuadraticMap.associated : QuadraticMap A M₁ N₁ →ₗ[A] BilinMap A M₁ N₁)
(QuadraticMap.associated : QuadraticMap R M₂ N₂ →ₗ[R] BilinMap R M₂ N₂)
toQ ∘ₗ tmulB ∘ₗ toB
@[simp]
theorem tensorDistrib_tmul (Q₁ : QuadraticMap A M₁ N₁) (Q₂ : QuadraticMap R M₂ N₂) (m₁ : M₁)
(m₂ : M₂) : tensorDistrib R A (Q₁ ⊗ₜ Q₂) (m₁ ⊗ₜ m₂) = Q₁ m₁ ⊗ₜ Q₂ m₂ :=
letI : Invertible (2 : A) := (Invertible.map (algebraMap R A) 2).copy 2 (map_ofNat _ _).symm
(BilinMap.tensorDistrib_tmul _ _ _ _ _ _).trans <| congr_arg₂ _
(associated_eq_self_apply _ _ _) (associated_eq_self_apply _ _ _)
/-- The tensor product of two quadratic maps, a shorthand for dot notation. -/
-- `noncomputable` is a performance workaround for https://github.com/leanprover-community/mathlib4/issues/7103
protected noncomputable abbrev tmul (Q₁ : QuadraticMap A M₁ N₁)
(Q₂ : QuadraticMap R M₂ N₂) : QuadraticMap A (M₁ ⊗[R] M₂) (N₁ ⊗[R] N₂) :=
tensorDistrib R A (Q₁ ⊗ₜ[R] Q₂)
theorem associated_tmul [Invertible (2 : A)]
(Q₁ : QuadraticMap A M₁ N₁) (Q₂ : QuadraticMap R M₂ N₂) :
(Q₁.tmul Q₂).associated = Q₁.associated.tmul Q₂.associated := by
letI : Invertible (2 : A) := (Invertible.map (algebraMap R A) 2).copy 2 (map_ofNat _ _).symm
rw [QuadraticMap.tmul, BilinMap.tmul]
have : Subsingleton (Invertible (2 : A)) := inferInstance
convert associated_left_inverse A (LinearMap.BilinMap.tmul_isSymm
(QuadraticMap.associated_isSymm A Q₁) (QuadraticMap.associated_isSymm R Q₂))
end QuadraticMap
namespace QuadraticForm
variable (R A) in
/-- The tensor product of two quadratic forms injects into quadratic forms on tensor products.
Note this is heterobasic; the quadratic form on the left can take values in a larger ring than
the one on the right. -/
-- `noncomputable` is a performance workaround for https://github.com/leanprover-community/mathlib4/issues/7103
noncomputable def tensorDistrib :
QuadraticForm A M₁ ⊗[R] QuadraticForm R M₂ →ₗ[A] QuadraticForm A (M₁ ⊗[R] M₂) :=
(AlgebraTensorModule.rid R A A).congrQuadraticMap.toLinearMap ∘ₗ QuadraticMap.tensorDistrib R A
-- TODO: make the RHS `MulOpposite.op (Q₂ m₂) • Q₁ m₁` so that this has a nicer defeq for
-- `R = A` of `Q₁ m₁ * Q₂ m₂`.
@[simp]
| theorem tensorDistrib_tmul (Q₁ : QuadraticForm A M₁) (Q₂ : QuadraticForm R M₂) (m₁ : M₁) (m₂ : M₂) :
tensorDistrib R A (Q₁ ⊗ₜ Q₂) (m₁ ⊗ₜ m₂) = Q₂ m₂ • Q₁ m₁ :=
letI : Invertible (2 : A) := (Invertible.map (algebraMap R A) 2).copy 2 (map_ofNat _ _).symm
(LinearMap.BilinForm.tensorDistrib_tmul _ _ _ _ _ _ _ _).trans <| congr_arg₂ _
(associated_eq_self_apply _ _ _) (associated_eq_self_apply _ _ _)
| Mathlib/LinearAlgebra/QuadraticForm/TensorProduct.lean | 95 | 99 |
/-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.Multiset.ZeroCons
/-!
# Basic results on multisets
-/
-- No algebra should be required
assert_not_exists Monoid
universe v
open List Subtype Nat Function
variable {α : Type*} {β : Type v} {γ : Type*}
namespace Multiset
/-! ### `Multiset.toList` -/
section ToList
/-- Produces a list of the elements in the multiset using choice. -/
noncomputable def toList (s : Multiset α) :=
s.out
@[simp, norm_cast]
theorem coe_toList (s : Multiset α) : (s.toList : Multiset α) = s :=
s.out_eq'
@[simp]
theorem toList_eq_nil {s : Multiset α} : s.toList = [] ↔ s = 0 := by
rw [← coe_eq_zero, coe_toList]
theorem empty_toList {s : Multiset α} : s.toList.isEmpty ↔ s = 0 := by simp
@[simp]
theorem toList_zero : (Multiset.toList 0 : List α) = [] :=
toList_eq_nil.mpr rfl
@[simp]
theorem mem_toList {a : α} {s : Multiset α} : a ∈ s.toList ↔ a ∈ s := by
rw [← mem_coe, coe_toList]
@[simp]
theorem toList_eq_singleton_iff {a : α} {m : Multiset α} : m.toList = [a] ↔ m = {a} := by
rw [← perm_singleton, ← coe_eq_coe, coe_toList, coe_singleton]
@[simp]
theorem toList_singleton (a : α) : ({a} : Multiset α).toList = [a] :=
Multiset.toList_eq_singleton_iff.2 rfl
@[simp]
theorem length_toList (s : Multiset α) : s.toList.length = card s := by
rw [← coe_card, coe_toList]
end ToList
/-! ### Induction principles -/
/-- The strong induction principle for multisets. -/
@[elab_as_elim]
def strongInductionOn {p : Multiset α → Sort*} (s : Multiset α) (ih : ∀ s, (∀ t < s, p t) → p s) :
p s :=
(ih s) fun t _h =>
strongInductionOn t ih
termination_by card s
decreasing_by exact card_lt_card _h
theorem strongInductionOn_eq {p : Multiset α → Sort*} (s : Multiset α) (H) :
@strongInductionOn _ p s H = H s fun t _h => @strongInductionOn _ p t H := by
rw [strongInductionOn]
@[elab_as_elim]
theorem case_strongInductionOn {p : Multiset α → Prop} (s : Multiset α) (h₀ : p 0)
(h₁ : ∀ a s, (∀ t ≤ s, p t) → p (a ::ₘ s)) : p s :=
Multiset.strongInductionOn s fun s =>
Multiset.induction_on s (fun _ => h₀) fun _a _s _ ih =>
(h₁ _ _) fun _t h => ih _ <| lt_of_le_of_lt h <| lt_cons_self _ _
/-- Suppose that, given that `p t` can be defined on all supersets of `s` of cardinality less than
`n`, one knows how to define `p s`. Then one can inductively define `p s` for all multisets `s` of
cardinality less than `n`, starting from multisets of card `n` and iterating. This
can be used either to define data, or to prove properties. -/
def strongDownwardInduction {p : Multiset α → Sort*} {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁)
(s : Multiset α) :
card s ≤ n → p s :=
H s fun {t} ht _h =>
strongDownwardInduction H t ht
termination_by n - card s
decreasing_by simp_wf; have := (card_lt_card _h); omega
theorem strongDownwardInduction_eq {p : Multiset α → Sort*} {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁)
(s : Multiset α) :
strongDownwardInduction H s = H s fun ht _hst => strongDownwardInduction H _ ht := by
rw [strongDownwardInduction]
/-- Analogue of `strongDownwardInduction` with order of arguments swapped. -/
@[elab_as_elim]
def strongDownwardInductionOn {p : Multiset α → Sort*} {n : ℕ} :
∀ s : Multiset α,
(∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁) →
card s ≤ n → p s :=
fun s H => strongDownwardInduction H s
theorem strongDownwardInductionOn_eq {p : Multiset α → Sort*} (s : Multiset α) {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁) :
s.strongDownwardInductionOn H = H s fun {t} ht _h => t.strongDownwardInductionOn H ht := by
dsimp only [strongDownwardInductionOn]
rw [strongDownwardInduction]
section Choose
variable (p : α → Prop) [DecidablePred p] (l : Multiset α)
/-- Given a proof `hp` that there exists a unique `a ∈ l` such that `p a`, `chooseX p l hp` returns
that `a` together with proofs of `a ∈ l` and `p a`. -/
def chooseX : ∀ _hp : ∃! a, a ∈ l ∧ p a, { a // a ∈ l ∧ p a } :=
Quotient.recOn l (fun l' ex_unique => List.chooseX p l' (ExistsUnique.exists ex_unique))
(by
intros a b _
funext hp
suffices all_equal : ∀ x y : { t // t ∈ b ∧ p t }, x = y by
apply all_equal
rintro ⟨x, px⟩ ⟨y, py⟩
rcases hp with ⟨z, ⟨_z_mem_l, _pz⟩, z_unique⟩
congr
calc
x = z := z_unique x px
_ = y := (z_unique y py).symm
)
/-- Given a proof `hp` that there exists a unique `a ∈ l` such that `p a`, `choose p l hp` returns
that `a`. -/
def choose (hp : ∃! a, a ∈ l ∧ p a) : α :=
chooseX p l hp
theorem choose_spec (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l ∧ p (choose p l hp) :=
(chooseX p l hp).property
theorem choose_mem (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l :=
(choose_spec _ _ _).1
theorem choose_property (hp : ∃! a, a ∈ l ∧ p a) : p (choose p l hp) :=
(choose_spec _ _ _).2
end Choose
variable (α) in
/-- The equivalence between lists and multisets of a subsingleton type. -/
def subsingletonEquiv [Subsingleton α] : List α ≃ Multiset α where
toFun := ofList
invFun :=
(Quot.lift id) fun (a b : List α) (h : a ~ b) =>
(List.ext_get h.length_eq) fun _ _ _ => Subsingleton.elim _ _
left_inv _ := rfl
right_inv m := Quot.inductionOn m fun _ => rfl
@[simp]
theorem coe_subsingletonEquiv [Subsingleton α] :
(subsingletonEquiv α : List α → Multiset α) = ofList :=
rfl
section SizeOf
set_option linter.deprecated false in
@[deprecated "Deprecated without replacement." (since := "2025-02-07")]
theorem sizeOf_lt_sizeOf_of_mem [SizeOf α] {x : α} {s : Multiset α} (hx : x ∈ s) :
SizeOf.sizeOf x < SizeOf.sizeOf s := by
induction s using Quot.inductionOn
exact List.sizeOf_lt_sizeOf_of_mem hx
end SizeOf
end Multiset
| Mathlib/Data/Multiset/Basic.lean | 696 | 696 | |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn, Violeta Hernández Palacios
-/
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Data.Nat.SuccPred
import Mathlib.Order.SuccPred.InitialSeg
import Mathlib.SetTheory.Ordinal.Basic
/-!
# Ordinal arithmetic
Ordinals have an addition (corresponding to disjoint union) that turns them into an additive
monoid, and a multiplication (corresponding to the lexicographic order on the product) that turns
them into a monoid. One can also define correspondingly a subtraction, a division, a successor
function, a power function and a logarithm function.
We also define limit ordinals and prove the basic induction principle on ordinals separating
successor ordinals and limit ordinals, in `limitRecOn`.
## Main definitions and results
* `o₁ + o₂` is the order on the disjoint union of `o₁` and `o₂` obtained by declaring that
every element of `o₁` is smaller than every element of `o₂`.
* `o₁ - o₂` is the unique ordinal `o` such that `o₂ + o = o₁`, when `o₂ ≤ o₁`.
* `o₁ * o₂` is the lexicographic order on `o₂ × o₁`.
* `o₁ / o₂` is the ordinal `o` such that `o₁ = o₂ * o + o'` with `o' < o₂`. We also define the
divisibility predicate, and a modulo operation.
* `Order.succ o = o + 1` is the successor of `o`.
* `pred o` if the predecessor of `o`. If `o` is not a successor, we set `pred o = o`.
We discuss the properties of casts of natural numbers of and of `ω` with respect to these
operations.
Some properties of the operations are also used to discuss general tools on ordinals:
* `IsLimit o`: an ordinal is a limit ordinal if it is neither `0` nor a successor.
* `limitRecOn` is the main induction principle of ordinals: if one can prove a property by
induction at successor ordinals and at limit ordinals, then it holds for all ordinals.
* `IsNormal`: a function `f : Ordinal → Ordinal` satisfies `IsNormal` if it is strictly increasing
and order-continuous, i.e., the image `f o` of a limit ordinal `o` is the sup of `f a` for
`a < o`.
Various other basic arithmetic results are given in `Principal.lean` instead.
-/
assert_not_exists Field Module
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Ordinal
universe u v w
namespace Ordinal
variable {α β γ : Type*} {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
/-! ### Further properties of addition on ordinals -/
@[simp]
theorem lift_add (a b : Ordinal.{v}) : lift.{u} (a + b) = lift.{u} a + lift.{u} b :=
Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans
(RelIso.sumLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩
@[simp]
theorem lift_succ (a : Ordinal.{v}) : lift.{u} (succ a) = succ (lift.{u} a) := by
rw [← add_one_eq_succ, lift_add, lift_one]
rfl
instance instAddLeftReflectLE :
AddLeftReflectLE Ordinal.{u} where
elim c a b := by
refine inductionOn₃ a b c fun α r _ β s _ γ t _ ⟨f⟩ ↦ ?_
have H₁ a : f (Sum.inl a) = Sum.inl a := by
simpa using ((InitialSeg.leAdd t r).trans f).eq (InitialSeg.leAdd t s) a
have H₂ a : ∃ b, f (Sum.inr a) = Sum.inr b := by
generalize hx : f (Sum.inr a) = x
obtain x | x := x
· rw [← H₁, f.inj] at hx
contradiction
· exact ⟨x, rfl⟩
choose g hg using H₂
refine (RelEmbedding.ofMonotone g fun _ _ h ↦ ?_).ordinal_type_le
rwa [← @Sum.lex_inr_inr _ t _ s, ← hg, ← hg, f.map_rel_iff, Sum.lex_inr_inr]
instance : IsLeftCancelAdd Ordinal where
add_left_cancel a b c h := by simpa only [le_antisymm_iff, add_le_add_iff_left] using h
@[deprecated add_left_cancel_iff (since := "2024-12-11")]
protected theorem add_left_cancel (a) {b c : Ordinal} : a + b = a + c ↔ b = c :=
add_left_cancel_iff
private theorem add_lt_add_iff_left' (a) {b c : Ordinal} : a + b < a + c ↔ b < c := by
rw [← not_le, ← not_le, add_le_add_iff_left]
instance instAddLeftStrictMono : AddLeftStrictMono Ordinal.{u} :=
⟨fun a _b _c ↦ (add_lt_add_iff_left' a).2⟩
instance instAddLeftReflectLT : AddLeftReflectLT Ordinal.{u} :=
⟨fun a _b _c ↦ (add_lt_add_iff_left' a).1⟩
instance instAddRightReflectLT : AddRightReflectLT Ordinal.{u} :=
⟨fun _a _b _c ↦ lt_imp_lt_of_le_imp_le fun h => add_le_add_right h _⟩
theorem add_le_add_iff_right {a b : Ordinal} : ∀ n : ℕ, a + n ≤ b + n ↔ a ≤ b
| 0 => by simp
| n + 1 => by
simp only [natCast_succ, add_succ, add_succ, succ_le_succ_iff, add_le_add_iff_right]
theorem add_right_cancel {a b : Ordinal} (n : ℕ) : a + n = b + n ↔ a = b := by
simp only [le_antisymm_iff, add_le_add_iff_right]
theorem add_eq_zero_iff {a b : Ordinal} : a + b = 0 ↔ a = 0 ∧ b = 0 :=
inductionOn₂ a b fun α r _ β s _ => by
simp_rw [← type_sum_lex, type_eq_zero_iff_isEmpty]
exact isEmpty_sum
theorem left_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : a = 0 :=
(add_eq_zero_iff.1 h).1
theorem right_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : b = 0 :=
(add_eq_zero_iff.1 h).2
/-! ### The predecessor of an ordinal -/
open Classical in
/-- The ordinal predecessor of `o` is `o'` if `o = succ o'`,
and `o` otherwise. -/
def pred (o : Ordinal) : Ordinal :=
if h : ∃ a, o = succ a then Classical.choose h else o
@[simp]
theorem pred_succ (o) : pred (succ o) = o := by
have h : ∃ a, succ o = succ a := ⟨_, rfl⟩
simpa only [pred, dif_pos h] using (succ_injective <| Classical.choose_spec h).symm
theorem pred_le_self (o) : pred o ≤ o := by
classical
exact if h : ∃ a, o = succ a then by
let ⟨a, e⟩ := h
rw [e, pred_succ]; exact le_succ a
else by rw [pred, dif_neg h]
theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬∃ a, o = succ a :=
⟨fun e ⟨a, e'⟩ => by rw [e', pred_succ] at e; exact (lt_succ a).ne e, fun h => dif_neg h⟩
theorem pred_eq_iff_not_succ' {o} : pred o = o ↔ ∀ a, o ≠ succ a := by
simpa using pred_eq_iff_not_succ
theorem pred_lt_iff_is_succ {o} : pred o < o ↔ ∃ a, o = succ a :=
Iff.trans (by simp only [le_antisymm_iff, pred_le_self, true_and, not_le])
(iff_not_comm.1 pred_eq_iff_not_succ).symm
@[simp]
theorem pred_zero : pred 0 = 0 :=
pred_eq_iff_not_succ'.2 fun a => (succ_ne_zero a).symm
theorem succ_pred_iff_is_succ {o} : succ (pred o) = o ↔ ∃ a, o = succ a :=
⟨fun e => ⟨_, e.symm⟩, fun ⟨a, e⟩ => by simp only [e, pred_succ]⟩
theorem succ_lt_of_not_succ {o b : Ordinal} (h : ¬∃ a, o = succ a) : succ b < o ↔ b < o :=
⟨(lt_succ b).trans, fun l => lt_of_le_of_ne (succ_le_of_lt l) fun e => h ⟨_, e.symm⟩⟩
theorem lt_pred {a b} : a < pred b ↔ succ a < b := by
classical
exact if h : ∃ a, b = succ a then by
let ⟨c, e⟩ := h
rw [e, pred_succ, succ_lt_succ_iff]
else by simp only [pred, dif_neg h, succ_lt_of_not_succ h]
theorem pred_le {a b} : pred a ≤ b ↔ a ≤ succ b :=
le_iff_le_iff_lt_iff_lt.2 lt_pred
@[simp]
theorem lift_is_succ {o : Ordinal.{v}} : (∃ a, lift.{u} o = succ a) ↔ ∃ a, o = succ a :=
⟨fun ⟨a, h⟩ =>
let ⟨b, e⟩ := mem_range_lift_of_le <| show a ≤ lift.{u} o from le_of_lt <| h.symm ▸ lt_succ a
⟨b, (lift_inj.{u,v}).1 <| by rw [h, ← e, lift_succ]⟩,
fun ⟨a, h⟩ => ⟨lift.{u} a, by simp only [h, lift_succ]⟩⟩
@[simp]
theorem lift_pred (o : Ordinal.{v}) : lift.{u} (pred o) = pred (lift.{u} o) := by
classical
exact if h : ∃ a, o = succ a then by obtain ⟨a, e⟩ := h; simp only [e, pred_succ, lift_succ]
else by rw [pred_eq_iff_not_succ.2 h, pred_eq_iff_not_succ.2 (mt lift_is_succ.1 h)]
/-! ### Limit ordinals -/
/-- A limit ordinal is an ordinal which is not zero and not a successor.
TODO: deprecate this in favor of `Order.IsSuccLimit`. -/
def IsLimit (o : Ordinal) : Prop :=
IsSuccLimit o
theorem isLimit_iff {o} : IsLimit o ↔ o ≠ 0 ∧ IsSuccPrelimit o := by
simp [IsLimit, IsSuccLimit]
theorem IsLimit.isSuccPrelimit {o} (h : IsLimit o) : IsSuccPrelimit o :=
IsSuccLimit.isSuccPrelimit h
theorem IsLimit.succ_lt {o a : Ordinal} (h : IsLimit o) : a < o → succ a < o :=
IsSuccLimit.succ_lt h
theorem isSuccPrelimit_zero : IsSuccPrelimit (0 : Ordinal) := isSuccPrelimit_bot
theorem not_zero_isLimit : ¬IsLimit 0 :=
not_isSuccLimit_bot
theorem not_succ_isLimit (o) : ¬IsLimit (succ o) :=
not_isSuccLimit_succ o
theorem not_succ_of_isLimit {o} (h : IsLimit o) : ¬∃ a, o = succ a
| ⟨a, e⟩ => not_succ_isLimit a (e ▸ h)
theorem succ_lt_of_isLimit {o a : Ordinal} (h : IsLimit o) : succ a < o ↔ a < o :=
IsSuccLimit.succ_lt_iff h
theorem le_succ_of_isLimit {o} (h : IsLimit o) {a} : o ≤ succ a ↔ o ≤ a :=
le_iff_le_iff_lt_iff_lt.2 <| succ_lt_of_isLimit h
theorem limit_le {o} (h : IsLimit o) {a} : o ≤ a ↔ ∀ x < o, x ≤ a :=
⟨fun h _x l => l.le.trans h, fun H =>
(le_succ_of_isLimit h).1 <| le_of_not_lt fun hn => not_lt_of_le (H _ hn) (lt_succ a)⟩
theorem lt_limit {o} (h : IsLimit o) {a} : a < o ↔ ∃ x < o, a < x := by
-- Porting note: `bex_def` is required.
simpa only [not_forall₂, not_le, bex_def] using not_congr (@limit_le _ h a)
@[simp]
theorem lift_isLimit (o : Ordinal.{v}) : IsLimit (lift.{u,v} o) ↔ IsLimit o :=
liftInitialSeg.isSuccLimit_apply_iff
theorem IsLimit.pos {o : Ordinal} (h : IsLimit o) : 0 < o :=
IsSuccLimit.bot_lt h
theorem IsLimit.ne_zero {o : Ordinal} (h : IsLimit o) : o ≠ 0 :=
h.pos.ne'
theorem IsLimit.one_lt {o : Ordinal} (h : IsLimit o) : 1 < o := by
simpa only [succ_zero] using h.succ_lt h.pos
theorem IsLimit.nat_lt {o : Ordinal} (h : IsLimit o) : ∀ n : ℕ, (n : Ordinal) < o
| 0 => h.pos
| n + 1 => h.succ_lt (IsLimit.nat_lt h n)
theorem zero_or_succ_or_limit (o : Ordinal) : o = 0 ∨ (∃ a, o = succ a) ∨ IsLimit o := by
simpa [eq_comm] using isMin_or_mem_range_succ_or_isSuccLimit o
theorem isLimit_of_not_succ_of_ne_zero {o : Ordinal} (h : ¬∃ a, o = succ a) (h' : o ≠ 0) :
IsLimit o := ((zero_or_succ_or_limit o).resolve_left h').resolve_left h
-- TODO: this is an iff with `IsSuccPrelimit`
theorem IsLimit.sSup_Iio {o : Ordinal} (h : IsLimit o) : sSup (Iio o) = o := by
apply (csSup_le' (fun a ha ↦ le_of_lt ha)).antisymm
apply le_of_forall_lt
intro a ha
exact (lt_succ a).trans_le (le_csSup bddAbove_Iio (h.succ_lt ha))
theorem IsLimit.iSup_Iio {o : Ordinal} (h : IsLimit o) : ⨆ a : Iio o, a.1 = o := by
rw [← sSup_eq_iSup', h.sSup_Iio]
/-- Main induction principle of ordinals: if one can prove a property by
induction at successor ordinals and at limit ordinals, then it holds for all ordinals. -/
@[elab_as_elim]
def limitRecOn {motive : Ordinal → Sort*} (o : Ordinal)
(zero : motive 0) (succ : ∀ o, motive o → motive (succ o))
(isLimit : ∀ o, IsLimit o → (∀ o' < o, motive o') → motive o) : motive o := by
refine SuccOrder.limitRecOn o (fun a ha ↦ ?_) (fun a _ ↦ succ a) isLimit
convert zero
simpa using ha
@[simp]
theorem limitRecOn_zero {motive} (H₁ H₂ H₃) : @limitRecOn motive 0 H₁ H₂ H₃ = H₁ :=
SuccOrder.limitRecOn_isMin _ _ _ isMin_bot
@[simp]
theorem limitRecOn_succ {motive} (o H₁ H₂ H₃) :
@limitRecOn motive (succ o) H₁ H₂ H₃ = H₂ o (@limitRecOn motive o H₁ H₂ H₃) :=
SuccOrder.limitRecOn_succ ..
@[simp]
theorem limitRecOn_limit {motive} (o H₁ H₂ H₃ h) :
@limitRecOn motive o H₁ H₂ H₃ = H₃ o h fun x _h => @limitRecOn motive x H₁ H₂ H₃ :=
SuccOrder.limitRecOn_of_isSuccLimit ..
/-- Bounded recursion on ordinals. Similar to `limitRecOn`, with the assumption `o < l`
added to all cases. The final term's domain is the ordinals below `l`. -/
@[elab_as_elim]
def boundedLimitRecOn {l : Ordinal} (lLim : l.IsLimit) {motive : Iio l → Sort*} (o : Iio l)
(zero : motive ⟨0, lLim.pos⟩)
(succ : (o : Iio l) → motive o → motive ⟨succ o, lLim.succ_lt o.2⟩)
(isLimit : (o : Iio l) → IsLimit o → (Π o' < o, motive o') → motive o) : motive o :=
limitRecOn (motive := fun p ↦ (h : p < l) → motive ⟨p, h⟩) o.1 (fun _ ↦ zero)
(fun o ih h ↦ succ ⟨o, _⟩ <| ih <| (lt_succ o).trans h)
(fun _o ho ih _ ↦ isLimit _ ho fun _o' h ↦ ih _ h _) o.2
@[simp]
theorem boundedLimitRec_zero {l} (lLim : l.IsLimit) {motive} (H₁ H₂ H₃) :
@boundedLimitRecOn l lLim motive ⟨0, lLim.pos⟩ H₁ H₂ H₃ = H₁ := by
rw [boundedLimitRecOn, limitRecOn_zero]
@[simp]
theorem boundedLimitRec_succ {l} (lLim : l.IsLimit) {motive} (o H₁ H₂ H₃) :
@boundedLimitRecOn l lLim motive ⟨succ o.1, lLim.succ_lt o.2⟩ H₁ H₂ H₃ = H₂ o
(@boundedLimitRecOn l lLim motive o H₁ H₂ H₃) := by
rw [boundedLimitRecOn, limitRecOn_succ]
rfl
theorem boundedLimitRec_limit {l} (lLim : l.IsLimit) {motive} (o H₁ H₂ H₃ oLim) :
@boundedLimitRecOn l lLim motive o H₁ H₂ H₃ = H₃ o oLim (fun x _ ↦
@boundedLimitRecOn l lLim motive x H₁ H₂ H₃) := by
rw [boundedLimitRecOn, limitRecOn_limit]
rfl
instance orderTopToTypeSucc (o : Ordinal) : OrderTop (succ o).toType :=
@OrderTop.mk _ _ (Top.mk _) le_enum_succ
theorem enum_succ_eq_top {o : Ordinal} :
enum (α := (succ o).toType) (· < ·) ⟨o, type_toType _ ▸ lt_succ o⟩ = ⊤ :=
rfl
theorem has_succ_of_type_succ_lt {α} {r : α → α → Prop} [wo : IsWellOrder α r]
(h : ∀ a < type r, succ a < type r) (x : α) : ∃ y, r x y := by
use enum r ⟨succ (typein r x), h _ (typein_lt_type r x)⟩
convert enum_lt_enum.mpr _
· rw [enum_typein]
· rw [Subtype.mk_lt_mk, lt_succ_iff]
theorem toType_noMax_of_succ_lt {o : Ordinal} (ho : ∀ a < o, succ a < o) : NoMaxOrder o.toType :=
⟨has_succ_of_type_succ_lt (type_toType _ ▸ ho)⟩
theorem bounded_singleton {r : α → α → Prop} [IsWellOrder α r] (hr : (type r).IsLimit) (x) :
Bounded r {x} := by
refine ⟨enum r ⟨succ (typein r x), hr.succ_lt (typein_lt_type r x)⟩, ?_⟩
intro b hb
rw [mem_singleton_iff.1 hb]
nth_rw 1 [← enum_typein r x]
rw [@enum_lt_enum _ r, Subtype.mk_lt_mk]
apply lt_succ
@[simp]
theorem typein_ordinal (o : Ordinal.{u}) :
@typein Ordinal (· < ·) _ o = Ordinal.lift.{u + 1} o := by
refine Quotient.inductionOn o ?_
rintro ⟨α, r, wo⟩; apply Quotient.sound
constructor; refine ((RelIso.preimage Equiv.ulift r).trans (enum r).symm).symm
theorem mk_Iio_ordinal (o : Ordinal.{u}) :
#(Iio o) = Cardinal.lift.{u + 1} o.card := by
rw [lift_card, ← typein_ordinal]
rfl
/-! ### Normal ordinal functions -/
/-- A normal ordinal function is a strictly increasing function which is
order-continuous, i.e., the image `f o` of a limit ordinal `o` is the sup of `f a` for
`a < o`. -/
def IsNormal (f : Ordinal → Ordinal) : Prop :=
(∀ o, f o < f (succ o)) ∧ ∀ o, IsLimit o → ∀ a, f o ≤ a ↔ ∀ b < o, f b ≤ a
theorem IsNormal.limit_le {f} (H : IsNormal f) :
∀ {o}, IsLimit o → ∀ {a}, f o ≤ a ↔ ∀ b < o, f b ≤ a :=
@H.2
theorem IsNormal.limit_lt {f} (H : IsNormal f) {o} (h : IsLimit o) {a} :
a < f o ↔ ∃ b < o, a < f b :=
not_iff_not.1 <| by simpa only [exists_prop, not_exists, not_and, not_lt] using H.2 _ h a
theorem IsNormal.strictMono {f} (H : IsNormal f) : StrictMono f := fun a b =>
limitRecOn b (Not.elim (not_lt_of_le <| Ordinal.zero_le _))
(fun _b IH h =>
(lt_or_eq_of_le (le_of_lt_succ h)).elim (fun h => (IH h).trans (H.1 _)) fun e => e ▸ H.1 _)
fun _b l _IH h => lt_of_lt_of_le (H.1 a) ((H.2 _ l _).1 le_rfl _ (l.succ_lt h))
theorem IsNormal.monotone {f} (H : IsNormal f) : Monotone f :=
H.strictMono.monotone
theorem isNormal_iff_strictMono_limit (f : Ordinal → Ordinal) :
IsNormal f ↔ StrictMono f ∧ ∀ o, IsLimit o → ∀ a, (∀ b < o, f b ≤ a) → f o ≤ a :=
⟨fun hf => ⟨hf.strictMono, fun a ha c => (hf.2 a ha c).2⟩, fun ⟨hs, hl⟩ =>
⟨fun a => hs (lt_succ a), fun a ha c =>
⟨fun hac _b hba => ((hs hba).trans_le hac).le, hl a ha c⟩⟩⟩
theorem IsNormal.lt_iff {f} (H : IsNormal f) {a b} : f a < f b ↔ a < b :=
StrictMono.lt_iff_lt <| H.strictMono
theorem IsNormal.le_iff {f} (H : IsNormal f) {a b} : f a ≤ f b ↔ a ≤ b :=
le_iff_le_iff_lt_iff_lt.2 H.lt_iff
theorem IsNormal.inj {f} (H : IsNormal f) {a b} : f a = f b ↔ a = b := by
simp only [le_antisymm_iff, H.le_iff]
theorem IsNormal.id_le {f} (H : IsNormal f) : id ≤ f :=
H.strictMono.id_le
theorem IsNormal.le_apply {f} (H : IsNormal f) {a} : a ≤ f a :=
H.strictMono.le_apply
theorem IsNormal.le_iff_eq {f} (H : IsNormal f) {a} : f a ≤ a ↔ f a = a :=
H.le_apply.le_iff_eq
theorem IsNormal.le_set {f o} (H : IsNormal f) (p : Set Ordinal) (p0 : p.Nonempty) (b)
(H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f a ≤ o :=
⟨fun h _ pa => (H.le_iff.2 ((H₂ _).1 le_rfl _ pa)).trans h, fun h => by
induction b using limitRecOn with
| zero =>
obtain ⟨x, px⟩ := p0
have := Ordinal.le_zero.1 ((H₂ _).1 (Ordinal.zero_le _) _ px)
rw [this] at px
exact h _ px
| succ S _ =>
rcases not_forall₂.1 (mt (H₂ S).2 <| (lt_succ S).not_le) with ⟨a, h₁, h₂⟩
exact (H.le_iff.2 <| succ_le_of_lt <| not_le.1 h₂).trans (h _ h₁)
| isLimit S L _ =>
refine (H.2 _ L _).2 fun a h' => ?_
rcases not_forall₂.1 (mt (H₂ a).2 h'.not_le) with ⟨b, h₁, h₂⟩
exact (H.le_iff.2 <| (not_le.1 h₂).le).trans (h _ h₁)⟩
theorem IsNormal.le_set' {f o} (H : IsNormal f) (p : Set α) (p0 : p.Nonempty) (g : α → Ordinal) (b)
(H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, g a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f (g a) ≤ o := by
simpa [H₂] using H.le_set (g '' p) (p0.image g) b
theorem IsNormal.refl : IsNormal id :=
⟨lt_succ, fun _o l _a => Ordinal.limit_le l⟩
theorem IsNormal.trans {f g} (H₁ : IsNormal f) (H₂ : IsNormal g) : IsNormal (f ∘ g) :=
⟨fun _x => H₁.lt_iff.2 (H₂.1 _), fun o l _a =>
H₁.le_set' (· < o) ⟨0, l.pos⟩ g _ fun _c => H₂.2 _ l _⟩
theorem IsNormal.isLimit {f} (H : IsNormal f) {o} (ho : IsLimit o) : IsLimit (f o) := by
rw [isLimit_iff, isSuccPrelimit_iff_succ_lt]
use (H.lt_iff.2 ho.pos).ne_bot
intro a ha
obtain ⟨b, hb, hab⟩ := (H.limit_lt ho).1 ha
rw [← succ_le_iff] at hab
apply hab.trans_lt
rwa [H.lt_iff]
theorem add_le_of_limit {a b c : Ordinal} (h : IsLimit b) :
a + b ≤ c ↔ ∀ b' < b, a + b' ≤ c :=
⟨fun h _ l => (add_le_add_left l.le _).trans h, fun H =>
le_of_not_lt <| by
-- Porting note: `induction` tactics are required because of the parser bug.
induction a using inductionOn with
| H α r =>
induction b using inductionOn with
| H β s =>
intro l
suffices ∀ x : β, Sum.Lex r s (Sum.inr x) (enum _ ⟨_, l⟩) by
-- Porting note: `revert` & `intro` is required because `cases'` doesn't replace
-- `enum _ _ l` in `this`.
revert this; rcases enum _ ⟨_, l⟩ with x | x <;> intro this
· cases this (enum s ⟨0, h.pos⟩)
· exact irrefl _ (this _)
intro x
rw [← typein_lt_typein (Sum.Lex r s), typein_enum]
have := H _ (h.succ_lt (typein_lt_type s x))
rw [add_succ, succ_le_iff] at this
refine
(RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this
· rcases a with ⟨a | b, h⟩
· exact Sum.inl a
· exact Sum.inr ⟨b, by cases h; assumption⟩
· rcases a with ⟨a | a, h₁⟩ <;> rcases b with ⟨b | b, h₂⟩ <;> cases h₁ <;> cases h₂ <;>
rintro ⟨⟩ <;> constructor <;> assumption⟩
theorem isNormal_add_right (a : Ordinal) : IsNormal (a + ·) :=
⟨fun b => (add_lt_add_iff_left a).2 (lt_succ b), fun _b l _c => add_le_of_limit l⟩
theorem isLimit_add (a) {b} : IsLimit b → IsLimit (a + b) :=
(isNormal_add_right a).isLimit
alias IsLimit.add := isLimit_add
/-! ### Subtraction on ordinals -/
/-- The set in the definition of subtraction is nonempty. -/
private theorem sub_nonempty {a b : Ordinal} : { o | a ≤ b + o }.Nonempty :=
⟨a, le_add_left _ _⟩
/-- `a - b` is the unique ordinal satisfying `b + (a - b) = a` when `b ≤ a`. -/
instance sub : Sub Ordinal :=
⟨fun a b => sInf { o | a ≤ b + o }⟩
theorem le_add_sub (a b : Ordinal) : a ≤ b + (a - b) :=
csInf_mem sub_nonempty
theorem sub_le {a b c : Ordinal} : a - b ≤ c ↔ a ≤ b + c :=
⟨fun h => (le_add_sub a b).trans (add_le_add_left h _), fun h => csInf_le' h⟩
theorem lt_sub {a b c : Ordinal} : a < b - c ↔ c + a < b :=
lt_iff_lt_of_le_iff_le sub_le
theorem add_sub_cancel (a b : Ordinal) : a + b - a = b :=
le_antisymm (sub_le.2 <| le_rfl) ((add_le_add_iff_left a).1 <| le_add_sub _ _)
theorem sub_eq_of_add_eq {a b c : Ordinal} (h : a + b = c) : c - a = b :=
h ▸ add_sub_cancel _ _
theorem sub_le_self (a b : Ordinal) : a - b ≤ a :=
sub_le.2 <| le_add_left _ _
protected theorem add_sub_cancel_of_le {a b : Ordinal} (h : b ≤ a) : b + (a - b) = a :=
(le_add_sub a b).antisymm'
(by
rcases zero_or_succ_or_limit (a - b) with (e | ⟨c, e⟩ | l)
· simp only [e, add_zero, h]
· rw [e, add_succ, succ_le_iff, ← lt_sub, e]
exact lt_succ c
· exact (add_le_of_limit l).2 fun c l => (lt_sub.1 l).le)
theorem le_sub_of_le {a b c : Ordinal} (h : b ≤ a) : c ≤ a - b ↔ b + c ≤ a := by
rw [← add_le_add_iff_left b, Ordinal.add_sub_cancel_of_le h]
theorem sub_lt_of_le {a b c : Ordinal} (h : b ≤ a) : a - b < c ↔ a < b + c :=
lt_iff_lt_of_le_iff_le (le_sub_of_le h)
instance existsAddOfLE : ExistsAddOfLE Ordinal :=
⟨fun h => ⟨_, (Ordinal.add_sub_cancel_of_le h).symm⟩⟩
@[simp]
theorem sub_zero (a : Ordinal) : a - 0 = a := by simpa only [zero_add] using add_sub_cancel 0 a
@[simp]
theorem zero_sub (a : Ordinal) : 0 - a = 0 := by rw [← Ordinal.le_zero]; apply sub_le_self
@[simp]
theorem sub_self (a : Ordinal) : a - a = 0 := by simpa only [add_zero] using add_sub_cancel a 0
protected theorem sub_eq_zero_iff_le {a b : Ordinal} : a - b = 0 ↔ a ≤ b :=
⟨fun h => by simpa only [h, add_zero] using le_add_sub a b, fun h => by
rwa [← Ordinal.le_zero, sub_le, add_zero]⟩
protected theorem sub_ne_zero_iff_lt {a b : Ordinal} : a - b ≠ 0 ↔ b < a := by
simpa using Ordinal.sub_eq_zero_iff_le.not
theorem sub_sub (a b c : Ordinal) : a - b - c = a - (b + c) :=
eq_of_forall_ge_iff fun d => by rw [sub_le, sub_le, sub_le, add_assoc]
@[simp]
theorem add_sub_add_cancel (a b c : Ordinal) : a + b - (a + c) = b - c := by
rw [← sub_sub, add_sub_cancel]
theorem le_sub_of_add_le {a b c : Ordinal} (h : b + c ≤ a) : c ≤ a - b := by
rw [← add_le_add_iff_left b]
exact h.trans (le_add_sub a b)
theorem sub_lt_of_lt_add {a b c : Ordinal} (h : a < b + c) (hc : 0 < c) : a - b < c := by
obtain hab | hba := lt_or_le a b
· rwa [Ordinal.sub_eq_zero_iff_le.2 hab.le]
· rwa [sub_lt_of_le hba]
theorem lt_add_iff {a b c : Ordinal} (hc : c ≠ 0) : a < b + c ↔ ∃ d < c, a ≤ b + d := by
use fun h ↦ ⟨_, sub_lt_of_lt_add h hc.bot_lt, le_add_sub a b⟩
rintro ⟨d, hd, ha⟩
exact ha.trans_lt (add_lt_add_left hd b)
theorem add_le_iff {a b c : Ordinal} (hb : b ≠ 0) : a + b ≤ c ↔ ∀ d < b, a + d < c := by
simpa using (lt_add_iff hb).not
@[deprecated add_le_iff (since := "2024-12-08")]
theorem add_le_of_forall_add_lt {a b c : Ordinal} (hb : 0 < b) (h : ∀ d < b, a + d < c) :
a + b ≤ c :=
(add_le_iff hb.ne').2 h
theorem isLimit_sub {a b} (ha : IsLimit a) (h : b < a) : IsLimit (a - b) := by
rw [isLimit_iff, Ordinal.sub_ne_zero_iff_lt, isSuccPrelimit_iff_succ_lt]
refine ⟨h, fun c hc ↦ ?_⟩
rw [lt_sub] at hc ⊢
rw [add_succ]
exact ha.succ_lt hc
/-! ### Multiplication of ordinals -/
/-- The multiplication of ordinals `o₁` and `o₂` is the (well founded) lexicographic order on
`o₂ × o₁`. -/
instance monoid : Monoid Ordinal.{u} where
mul a b :=
Quotient.liftOn₂ a b
(fun ⟨α, r, _⟩ ⟨β, s, _⟩ => ⟦⟨β × α, Prod.Lex s r, inferInstance⟩⟧ :
WellOrder → WellOrder → Ordinal)
fun ⟨_, _, _⟩ _ _ _ ⟨f⟩ ⟨g⟩ => Quot.sound ⟨RelIso.prodLexCongr g f⟩
one := 1
mul_assoc a b c :=
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ =>
Eq.symm <|
Quotient.sound
⟨⟨prodAssoc _ _ _, @fun a b => by
rcases a with ⟨⟨a₁, a₂⟩, a₃⟩
rcases b with ⟨⟨b₁, b₂⟩, b₃⟩
simp [Prod.lex_def, and_or_left, or_assoc, and_assoc]⟩⟩
mul_one a :=
inductionOn a fun α r _ =>
Quotient.sound
⟨⟨punitProd _, @fun a b => by
rcases a with ⟨⟨⟨⟩⟩, a⟩; rcases b with ⟨⟨⟨⟩⟩, b⟩
simp only [Prod.lex_def, EmptyRelation, false_or]
simp only [eq_self_iff_true, true_and]
rfl⟩⟩
one_mul a :=
inductionOn a fun α r _ =>
Quotient.sound
⟨⟨prodPUnit _, @fun a b => by
rcases a with ⟨a, ⟨⟨⟩⟩⟩; rcases b with ⟨b, ⟨⟨⟩⟩⟩
simp only [Prod.lex_def, EmptyRelation, and_false, or_false]
rfl⟩⟩
@[simp]
theorem type_prod_lex {α β : Type u} (r : α → α → Prop) (s : β → β → Prop) [IsWellOrder α r]
[IsWellOrder β s] : type (Prod.Lex s r) = type r * type s :=
rfl
private theorem mul_eq_zero' {a b : Ordinal} : a * b = 0 ↔ a = 0 ∨ b = 0 :=
inductionOn a fun α _ _ =>
inductionOn b fun β _ _ => by
simp_rw [← type_prod_lex, type_eq_zero_iff_isEmpty]
rw [or_comm]
exact isEmpty_prod
instance monoidWithZero : MonoidWithZero Ordinal :=
{ Ordinal.monoid with
zero := 0
mul_zero := fun _a => mul_eq_zero'.2 <| Or.inr rfl
zero_mul := fun _a => mul_eq_zero'.2 <| Or.inl rfl }
instance noZeroDivisors : NoZeroDivisors Ordinal :=
⟨fun {_ _} => mul_eq_zero'.1⟩
@[simp]
theorem lift_mul (a b : Ordinal.{v}) : lift.{u} (a * b) = lift.{u} a * lift.{u} b :=
Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans
(RelIso.prodLexCongr (RelIso.preimage Equiv.ulift _)
(RelIso.preimage Equiv.ulift _)).symm⟩
@[simp]
theorem card_mul (a b) : card (a * b) = card a * card b :=
Quotient.inductionOn₂ a b fun ⟨α, _r, _⟩ ⟨β, _s, _⟩ => mul_comm #β #α
instance leftDistribClass : LeftDistribClass Ordinal.{u} :=
⟨fun a b c =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ =>
Quotient.sound
⟨⟨sumProdDistrib _ _ _, by
rintro ⟨a₁ | a₁, a₂⟩ ⟨b₁ | b₁, b₂⟩ <;>
simp only [Prod.lex_def, Sum.lex_inl_inl, Sum.Lex.sep, Sum.lex_inr_inl, Sum.lex_inr_inr,
sumProdDistrib_apply_left, sumProdDistrib_apply_right, reduceCtorEq] <;>
-- Porting note: `Sum.inr.inj_iff` is required.
simp only [Sum.inl.inj_iff, Sum.inr.inj_iff, true_or, false_and, false_or]⟩⟩⟩
theorem mul_succ (a b : Ordinal) : a * succ b = a * b + a :=
mul_add_one a b
instance mulLeftMono : MulLeftMono Ordinal.{u} :=
⟨fun c a b =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by
refine
(RelEmbedding.ofMonotone (fun a : α × γ => (f a.1, a.2)) fun a b h => ?_).ordinal_type_le
obtain ⟨-, -, h'⟩ | ⟨-, h'⟩ := h
· exact Prod.Lex.left _ _ (f.toRelEmbedding.map_rel_iff.2 h')
· exact Prod.Lex.right _ h'⟩
instance mulRightMono : MulRightMono Ordinal.{u} :=
⟨fun c a b =>
Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by
refine
(RelEmbedding.ofMonotone (fun a : γ × α => (a.1, f a.2)) fun a b h => ?_).ordinal_type_le
obtain ⟨-, -, h'⟩ | ⟨-, h'⟩ := h
· exact Prod.Lex.left _ _ h'
· exact Prod.Lex.right _ (f.toRelEmbedding.map_rel_iff.2 h')⟩
theorem le_mul_left (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ a * b := by
convert mul_le_mul_left' (one_le_iff_pos.2 hb) a
rw [mul_one a]
theorem le_mul_right (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ b * a := by
convert mul_le_mul_right' (one_le_iff_pos.2 hb) a
rw [one_mul a]
private theorem mul_le_of_limit_aux {α β r s} [IsWellOrder α r] [IsWellOrder β s] {c}
(h : IsLimit (type s)) (H : ∀ b' < type s, type r * b' ≤ c) (l : c < type r * type s) :
False := by
suffices ∀ a b, Prod.Lex s r (b, a) (enum _ ⟨_, l⟩) by
obtain ⟨b, a⟩ := enum _ ⟨_, l⟩
exact irrefl _ (this _ _)
intro a b
rw [← typein_lt_typein (Prod.Lex s r), typein_enum]
have := H _ (h.succ_lt (typein_lt_type s b))
rw [mul_succ] at this
have := ((add_lt_add_iff_left _).2 (typein_lt_type _ a)).trans_le this
refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this
· rcases a with ⟨⟨b', a'⟩, h⟩
by_cases e : b = b'
· refine Sum.inr ⟨a', ?_⟩
subst e
obtain ⟨-, -, h⟩ | ⟨-, h⟩ := h
· exact (irrefl _ h).elim
· exact h
· refine Sum.inl (⟨b', ?_⟩, a')
obtain ⟨-, -, h⟩ | ⟨e, h⟩ := h
· exact h
· exact (e rfl).elim
· rcases a with ⟨⟨b₁, a₁⟩, h₁⟩
rcases b with ⟨⟨b₂, a₂⟩, h₂⟩
intro h
by_cases e₁ : b = b₁ <;> by_cases e₂ : b = b₂
· substs b₁ b₂
simpa only [subrel_val, Prod.lex_def, @irrefl _ s _ b, true_and, false_or,
eq_self_iff_true, dif_pos, Sum.lex_inr_inr] using h
· subst b₁
simp only [subrel_val, Prod.lex_def, e₂, Prod.lex_def, dif_pos, subrel_val, eq_self_iff_true,
or_false, dif_neg, not_false_iff, Sum.lex_inr_inl, false_and] at h ⊢
obtain ⟨-, -, h₂_h⟩ | e₂ := h₂ <;> [exact asymm h h₂_h; exact e₂ rfl]
· simp [e₂, dif_neg e₁, show b₂ ≠ b₁ from e₂ ▸ e₁]
· simpa only [dif_neg e₁, dif_neg e₂, Prod.lex_def, subrel_val, Subtype.mk_eq_mk,
Sum.lex_inl_inl] using h
theorem mul_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a * b ≤ c ↔ ∀ b' < b, a * b' ≤ c :=
⟨fun h _ l => (mul_le_mul_left' l.le _).trans h, fun H =>
-- Porting note: `induction` tactics are required because of the parser bug.
le_of_not_lt <| by
induction a using inductionOn with
| H α r =>
induction b using inductionOn with
| H β s =>
exact mul_le_of_limit_aux h H⟩
theorem isNormal_mul_right {a : Ordinal} (h : 0 < a) : IsNormal (a * ·) :=
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/12129): additional beta reduction needed
⟨fun b => by
beta_reduce
rw [mul_succ]
simpa only [add_zero] using (add_lt_add_iff_left (a * b)).2 h,
fun _ l _ => mul_le_of_limit l⟩
theorem lt_mul_of_limit {a b c : Ordinal} (h : IsLimit c) : a < b * c ↔ ∃ c' < c, a < b * c' := by
-- Porting note: `bex_def` is required.
simpa only [not_forall₂, not_le, bex_def] using not_congr (@mul_le_of_limit b c a h)
theorem mul_lt_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b < a * c ↔ b < c :=
(isNormal_mul_right a0).lt_iff
theorem mul_le_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b ≤ a * c ↔ b ≤ c :=
(isNormal_mul_right a0).le_iff
theorem mul_lt_mul_of_pos_left {a b c : Ordinal} (h : a < b) (c0 : 0 < c) : c * a < c * b :=
(mul_lt_mul_iff_left c0).2 h
theorem mul_pos {a b : Ordinal} (h₁ : 0 < a) (h₂ : 0 < b) : 0 < a * b := by
simpa only [mul_zero] using mul_lt_mul_of_pos_left h₂ h₁
theorem mul_ne_zero {a b : Ordinal} : a ≠ 0 → b ≠ 0 → a * b ≠ 0 := by
simpa only [Ordinal.pos_iff_ne_zero] using mul_pos
theorem le_of_mul_le_mul_left {a b c : Ordinal} (h : c * a ≤ c * b) (h0 : 0 < c) : a ≤ b :=
le_imp_le_of_lt_imp_lt (fun h' => mul_lt_mul_of_pos_left h' h0) h
theorem mul_right_inj {a b c : Ordinal} (a0 : 0 < a) : a * b = a * c ↔ b = c :=
(isNormal_mul_right a0).inj
theorem isLimit_mul {a b : Ordinal} (a0 : 0 < a) : IsLimit b → IsLimit (a * b) :=
(isNormal_mul_right a0).isLimit
theorem isLimit_mul_left {a b : Ordinal} (l : IsLimit a) (b0 : 0 < b) : IsLimit (a * b) := by
rcases zero_or_succ_or_limit b with (rfl | ⟨b, rfl⟩ | lb)
· exact b0.false.elim
· rw [mul_succ]
exact isLimit_add _ l
· exact isLimit_mul l.pos lb
theorem smul_eq_mul : ∀ (n : ℕ) (a : Ordinal), n • a = a * n
| 0, a => by rw [zero_nsmul, Nat.cast_zero, mul_zero]
| n + 1, a => by rw [succ_nsmul, Nat.cast_add, mul_add, Nat.cast_one, mul_one, smul_eq_mul n]
private theorem add_mul_limit_aux {a b c : Ordinal} (ba : b + a = a) (l : IsLimit c)
(IH : ∀ c' < c, (a + b) * succ c' = a * succ c' + b) : (a + b) * c = a * c :=
le_antisymm
((mul_le_of_limit l).2 fun c' h => by
apply (mul_le_mul_left' (le_succ c') _).trans
rw [IH _ h]
apply (add_le_add_left _ _).trans
· rw [← mul_succ]
exact mul_le_mul_left' (succ_le_of_lt <| l.succ_lt h) _
· rw [← ba]
exact le_add_right _ _)
(mul_le_mul_right' (le_add_right _ _) _)
theorem add_mul_succ {a b : Ordinal} (c) (ba : b + a = a) : (a + b) * succ c = a * succ c + b := by
induction c using limitRecOn with
| zero => simp only [succ_zero, mul_one]
| succ c IH =>
rw [mul_succ, IH, ← add_assoc, add_assoc _ b, ba, ← mul_succ]
| isLimit c l IH =>
rw [mul_succ, add_mul_limit_aux ba l IH, mul_succ, add_assoc]
theorem add_mul_limit {a b c : Ordinal} (ba : b + a = a) (l : IsLimit c) : (a + b) * c = a * c :=
add_mul_limit_aux ba l fun c' _ => add_mul_succ c' ba
/-! ### Division on ordinals -/
/-- The set in the definition of division is nonempty. -/
private theorem div_nonempty {a b : Ordinal} (h : b ≠ 0) : { o | a < b * succ o }.Nonempty :=
⟨a, (succ_le_iff (a := a) (b := b * succ a)).1 <| by
simpa only [succ_zero, one_mul] using
mul_le_mul_right' (succ_le_of_lt (Ordinal.pos_iff_ne_zero.2 h)) (succ a)⟩
/-- `a / b` is the unique ordinal `o` satisfying `a = b * o + o'` with `o' < b`. -/
instance div : Div Ordinal :=
⟨fun a b => if b = 0 then 0 else sInf { o | a < b * succ o }⟩
@[simp]
theorem div_zero (a : Ordinal) : a / 0 = 0 :=
dif_pos rfl
private theorem div_def (a) {b : Ordinal} (h : b ≠ 0) : a / b = sInf { o | a < b * succ o } :=
dif_neg h
theorem lt_mul_succ_div (a) {b : Ordinal} (h : b ≠ 0) : a < b * succ (a / b) := by
rw [div_def a h]; exact csInf_mem (div_nonempty h)
theorem lt_mul_div_add (a) {b : Ordinal} (h : b ≠ 0) : a < b * (a / b) + b := by
simpa only [mul_succ] using lt_mul_succ_div a h
theorem div_le {a b c : Ordinal} (b0 : b ≠ 0) : a / b ≤ c ↔ a < b * succ c :=
⟨fun h => (lt_mul_succ_div a b0).trans_le (mul_le_mul_left' (succ_le_succ_iff.2 h) _), fun h => by
rw [div_def a b0]; exact csInf_le' h⟩
theorem lt_div {a b c : Ordinal} (h : c ≠ 0) : a < b / c ↔ c * succ a ≤ b := by
rw [← not_le, div_le h, not_lt]
theorem div_pos {b c : Ordinal} (h : c ≠ 0) : 0 < b / c ↔ c ≤ b := by simp [lt_div h]
theorem le_div {a b c : Ordinal} (c0 : c ≠ 0) : a ≤ b / c ↔ c * a ≤ b := by
induction a using limitRecOn with
| zero => simp only [mul_zero, Ordinal.zero_le]
| succ _ _ => rw [succ_le_iff, lt_div c0]
| isLimit _ h₁ h₂ =>
revert h₁ h₂
simp +contextual only [mul_le_of_limit, limit_le, forall_true_iff]
theorem div_lt {a b c : Ordinal} (b0 : b ≠ 0) : a / b < c ↔ a < b * c :=
lt_iff_lt_of_le_iff_le <| le_div b0
theorem div_le_of_le_mul {a b c : Ordinal} (h : a ≤ b * c) : a / b ≤ c :=
if b0 : b = 0 then by simp only [b0, div_zero, Ordinal.zero_le]
else
(div_le b0).2 <| h.trans_lt <| mul_lt_mul_of_pos_left (lt_succ c) (Ordinal.pos_iff_ne_zero.2 b0)
theorem mul_lt_of_lt_div {a b c : Ordinal} : a < b / c → c * a < b :=
lt_imp_lt_of_le_imp_le div_le_of_le_mul
@[simp]
theorem zero_div (a : Ordinal) : 0 / a = 0 :=
Ordinal.le_zero.1 <| div_le_of_le_mul <| Ordinal.zero_le _
theorem mul_div_le (a b : Ordinal) : b * (a / b) ≤ a :=
if b0 : b = 0 then by simp only [b0, zero_mul, Ordinal.zero_le] else (le_div b0).1 le_rfl
theorem div_le_left {a b : Ordinal} (h : a ≤ b) (c : Ordinal) : a / c ≤ b / c := by
obtain rfl | hc := eq_or_ne c 0
· rw [div_zero, div_zero]
· rw [le_div hc]
exact (mul_div_le a c).trans h
theorem mul_add_div (a) {b : Ordinal} (b0 : b ≠ 0) (c) : (b * a + c) / b = a + c / b := by
apply le_antisymm
· apply (div_le b0).2
rw [mul_succ, mul_add, add_assoc, add_lt_add_iff_left]
apply lt_mul_div_add _ b0
· rw [le_div b0, mul_add, add_le_add_iff_left]
apply mul_div_le
theorem div_eq_zero_of_lt {a b : Ordinal} (h : a < b) : a / b = 0 := by
rw [← Ordinal.le_zero, div_le <| Ordinal.pos_iff_ne_zero.1 <| (Ordinal.zero_le _).trans_lt h]
simpa only [succ_zero, mul_one] using h
@[simp]
theorem mul_div_cancel (a) {b : Ordinal} (b0 : b ≠ 0) : b * a / b = a := by
simpa only [add_zero, zero_div] using mul_add_div a b0 0
theorem mul_add_div_mul {a c : Ordinal} (hc : c < a) (b d : Ordinal) :
(a * b + c) / (a * d) = b / d := by
have ha : a ≠ 0 := ((Ordinal.zero_le c).trans_lt hc).ne'
obtain rfl | hd := eq_or_ne d 0
· rw [mul_zero, div_zero, div_zero]
· have H := mul_ne_zero ha hd
apply le_antisymm
· rw [← lt_succ_iff, div_lt H, mul_assoc]
· apply (add_lt_add_left hc _).trans_le
rw [← mul_succ]
apply mul_le_mul_left'
rw [succ_le_iff]
exact lt_mul_succ_div b hd
· rw [le_div H, mul_assoc]
exact (mul_le_mul_left' (mul_div_le b d) a).trans (le_add_right _ c)
theorem mul_div_mul_cancel {a : Ordinal} (ha : a ≠ 0) (b c) : a * b / (a * c) = b / c := by
convert mul_add_div_mul (Ordinal.pos_iff_ne_zero.2 ha) b c using 1
rw [add_zero]
@[simp]
theorem div_one (a : Ordinal) : a / 1 = a := by
simpa only [one_mul] using mul_div_cancel a Ordinal.one_ne_zero
@[simp]
theorem div_self {a : Ordinal} (h : a ≠ 0) : a / a = 1 := by
simpa only [mul_one] using mul_div_cancel 1 h
theorem mul_sub (a b c : Ordinal) : a * (b - c) = a * b - a * c :=
if a0 : a = 0 then by simp only [a0, zero_mul, sub_self]
else
eq_of_forall_ge_iff fun d => by rw [sub_le, ← le_div a0, sub_le, ← le_div a0, mul_add_div _ a0]
theorem isLimit_add_iff {a b} : IsLimit (a + b) ↔ IsLimit b ∨ b = 0 ∧ IsLimit a := by
constructor <;> intro h
· by_cases h' : b = 0
· rw [h', add_zero] at h
right
exact ⟨h', h⟩
left
rw [← add_sub_cancel a b]
apply isLimit_sub h
suffices a + 0 < a + b by simpa only [add_zero] using this
rwa [add_lt_add_iff_left, Ordinal.pos_iff_ne_zero]
rcases h with (h | ⟨rfl, h⟩)
· exact isLimit_add a h
· simpa only [add_zero]
theorem dvd_add_iff : ∀ {a b c : Ordinal}, a ∣ b → (a ∣ b + c ↔ a ∣ c)
| a, _, c, ⟨b, rfl⟩ =>
⟨fun ⟨d, e⟩ => ⟨d - b, by rw [mul_sub, ← e, add_sub_cancel]⟩, fun ⟨d, e⟩ => by
rw [e, ← mul_add]
apply dvd_mul_right⟩
theorem div_mul_cancel : ∀ {a b : Ordinal}, a ≠ 0 → a ∣ b → a * (b / a) = b
| a, _, a0, ⟨b, rfl⟩ => by rw [mul_div_cancel _ a0]
theorem le_of_dvd : ∀ {a b : Ordinal}, b ≠ 0 → a ∣ b → a ≤ b
-- Porting note: `⟨b, rfl⟩ => by` → `⟨b, e⟩ => by subst e`
| a, _, b0, ⟨b, e⟩ => by
subst e
-- Porting note: `Ne` is required.
simpa only [mul_one] using
mul_le_mul_left'
(one_le_iff_ne_zero.2 fun h : b = 0 => by
simp only [h, mul_zero, Ne, not_true_eq_false] at b0) a
theorem dvd_antisymm {a b : Ordinal} (h₁ : a ∣ b) (h₂ : b ∣ a) : a = b :=
if a0 : a = 0 then by subst a; exact (eq_zero_of_zero_dvd h₁).symm
else
if b0 : b = 0 then by subst b; exact eq_zero_of_zero_dvd h₂
else (le_of_dvd b0 h₁).antisymm (le_of_dvd a0 h₂)
instance isAntisymm : IsAntisymm Ordinal (· ∣ ·) :=
⟨@dvd_antisymm⟩
/-- `a % b` is the unique ordinal `o'` satisfying
`a = b * o + o'` with `o' < b`. -/
instance mod : Mod Ordinal :=
⟨fun a b => a - b * (a / b)⟩
theorem mod_def (a b : Ordinal) : a % b = a - b * (a / b) :=
rfl
theorem mod_le (a b : Ordinal) : a % b ≤ a :=
sub_le_self a _
@[simp]
theorem mod_zero (a : Ordinal) : a % 0 = a := by simp only [mod_def, div_zero, zero_mul, sub_zero]
theorem mod_eq_of_lt {a b : Ordinal} (h : a < b) : a % b = a := by
simp only [mod_def, div_eq_zero_of_lt h, mul_zero, sub_zero]
@[simp]
theorem zero_mod (b : Ordinal) : 0 % b = 0 := by simp only [mod_def, zero_div, mul_zero, sub_self]
theorem div_add_mod (a b : Ordinal) : b * (a / b) + a % b = a :=
Ordinal.add_sub_cancel_of_le <| mul_div_le _ _
theorem mod_lt (a) {b : Ordinal} (h : b ≠ 0) : a % b < b :=
(add_lt_add_iff_left (b * (a / b))).1 <| by rw [div_add_mod]; exact lt_mul_div_add a h
@[simp]
theorem mod_self (a : Ordinal) : a % a = 0 :=
if a0 : a = 0 then by simp only [a0, zero_mod]
else by simp only [mod_def, div_self a0, mul_one, sub_self]
@[simp]
theorem mod_one (a : Ordinal) : a % 1 = 0 := by simp only [mod_def, div_one, one_mul, sub_self]
theorem dvd_of_mod_eq_zero {a b : Ordinal} (H : a % b = 0) : b ∣ a :=
⟨a / b, by simpa [H] using (div_add_mod a b).symm⟩
theorem mod_eq_zero_of_dvd {a b : Ordinal} (H : b ∣ a) : a % b = 0 := by
rcases H with ⟨c, rfl⟩
rcases eq_or_ne b 0 with (rfl | hb)
· simp
· simp [mod_def, hb]
theorem dvd_iff_mod_eq_zero {a b : Ordinal} : b ∣ a ↔ a % b = 0 :=
⟨mod_eq_zero_of_dvd, dvd_of_mod_eq_zero⟩
@[simp]
theorem mul_add_mod_self (x y z : Ordinal) : (x * y + z) % x = z % x := by
rcases eq_or_ne x 0 with rfl | hx
· simp
· rwa [mod_def, mul_add_div, mul_add, ← sub_sub, add_sub_cancel, mod_def]
@[simp]
theorem mul_mod (x y : Ordinal) : x * y % x = 0 := by
simpa using mul_add_mod_self x y 0
theorem mul_add_mod_mul {w x : Ordinal} (hw : w < x) (y z : Ordinal) :
(x * y + w) % (x * z) = x * (y % z) + w := by
rw [mod_def, mul_add_div_mul hw]
apply sub_eq_of_add_eq
rw [← add_assoc, mul_assoc, ← mul_add, div_add_mod]
theorem mul_mod_mul (x y z : Ordinal) : (x * y) % (x * z) = x * (y % z) := by
obtain rfl | hx := Ordinal.eq_zero_or_pos x
· simp
· convert mul_add_mod_mul hx y z using 1 <;>
rw [add_zero]
theorem mod_mod_of_dvd (a : Ordinal) {b c : Ordinal} (h : c ∣ b) : a % b % c = a % c := by
nth_rw 2 [← div_add_mod a b]
rcases h with ⟨d, rfl⟩
rw [mul_assoc, mul_add_mod_self]
@[simp]
theorem mod_mod (a b : Ordinal) : a % b % b = a % b :=
mod_mod_of_dvd a dvd_rfl
/-! ### Casting naturals into ordinals, compatibility with operations -/
instance instCharZero : CharZero Ordinal := by
refine ⟨fun a b h ↦ ?_⟩
rwa [← Cardinal.ord_nat, ← Cardinal.ord_nat, Cardinal.ord_inj, Nat.cast_inj] at h
@[simp]
theorem one_add_natCast (m : ℕ) : 1 + (m : Ordinal) = succ m := by
rw [← Nat.cast_one, ← Nat.cast_add, add_comm]
rfl
@[simp]
theorem one_add_ofNat (m : ℕ) [m.AtLeastTwo] :
1 + (ofNat(m) : Ordinal) = Order.succ (OfNat.ofNat m : Ordinal) :=
one_add_natCast m
@[simp, norm_cast]
theorem natCast_mul (m : ℕ) : ∀ n : ℕ, ((m * n : ℕ) : Ordinal) = m * n
| 0 => by simp
| n + 1 => by rw [Nat.mul_succ, Nat.cast_add, natCast_mul m n, Nat.cast_succ, mul_add_one]
@[simp, norm_cast]
theorem natCast_sub (m n : ℕ) : ((m - n : ℕ) : Ordinal) = m - n := by
rcases le_total m n with h | h
· rw [tsub_eq_zero_iff_le.2 h, Ordinal.sub_eq_zero_iff_le.2 (Nat.cast_le.2 h), Nat.cast_zero]
· rw [← add_left_cancel_iff (a := ↑n), ← Nat.cast_add, add_tsub_cancel_of_le h,
Ordinal.add_sub_cancel_of_le (Nat.cast_le.2 h)]
@[simp, norm_cast]
theorem natCast_div (m n : ℕ) : ((m / n : ℕ) : Ordinal) = m / n := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
· have hn' : (n : Ordinal) ≠ 0 := Nat.cast_ne_zero.2 hn
apply le_antisymm
· rw [le_div hn', ← natCast_mul, Nat.cast_le, mul_comm]
apply Nat.div_mul_le_self
· rw [div_le hn', ← add_one_eq_succ, ← Nat.cast_succ, ← natCast_mul, Nat.cast_lt, mul_comm,
← Nat.div_lt_iff_lt_mul (Nat.pos_of_ne_zero hn)]
apply Nat.lt_succ_self
@[simp, norm_cast]
theorem natCast_mod (m n : ℕ) : ((m % n : ℕ) : Ordinal) = m % n := by
rw [← add_left_cancel_iff, div_add_mod, ← natCast_div, ← natCast_mul, ← Nat.cast_add,
Nat.div_add_mod]
@[simp]
theorem lift_natCast : ∀ n : ℕ, lift.{u, v} n = n
| 0 => by simp
| n + 1 => by simp [lift_natCast n]
@[simp]
theorem lift_ofNat (n : ℕ) [n.AtLeastTwo] :
lift.{u, v} ofNat(n) = OfNat.ofNat n :=
lift_natCast n
theorem lt_omega0 {o : Ordinal} : o < ω ↔ ∃ n : ℕ, o = n := by
simp_rw [← Cardinal.ord_aleph0, Cardinal.lt_ord, lt_aleph0, card_eq_nat]
theorem nat_lt_omega0 (n : ℕ) : ↑n < ω :=
lt_omega0.2 ⟨_, rfl⟩
theorem eq_nat_or_omega0_le (o : Ordinal) : (∃ n : ℕ, o = n) ∨ ω ≤ o := by
obtain ho | ho := lt_or_le o ω
· exact Or.inl <| lt_omega0.1 ho
· exact Or.inr ho
theorem omega0_pos : 0 < ω :=
nat_lt_omega0 0
theorem omega0_ne_zero : ω ≠ 0 :=
omega0_pos.ne'
theorem one_lt_omega0 : 1 < ω := by simpa only [Nat.cast_one] using nat_lt_omega0 1
theorem isLimit_omega0 : IsLimit ω := by
rw [isLimit_iff, isSuccPrelimit_iff_succ_lt]
refine ⟨omega0_ne_zero, fun o h => ?_⟩
obtain ⟨n, rfl⟩ := lt_omega0.1 h
exact nat_lt_omega0 (n + 1)
theorem omega0_le {o : Ordinal} : ω ≤ o ↔ ∀ n : ℕ, ↑n ≤ o :=
⟨fun h n => (nat_lt_omega0 _).le.trans h, fun H =>
le_of_forall_lt fun a h => by
let ⟨n, e⟩ := lt_omega0.1 h
rw [e, ← succ_le_iff]; exact H (n + 1)⟩
theorem nat_lt_limit {o} (h : IsLimit o) : ∀ n : ℕ, ↑n < o
| 0 => h.pos
| n + 1 => h.succ_lt (nat_lt_limit h n)
theorem omega0_le_of_isLimit {o} (h : IsLimit o) : ω ≤ o :=
omega0_le.2 fun n => le_of_lt <| nat_lt_limit h n
theorem natCast_add_omega0 (n : ℕ) : n + ω = ω := by
refine le_antisymm (le_of_forall_lt fun a ha ↦ ?_) (le_add_left _ _)
obtain ⟨b, hb', hb⟩ := (lt_add_iff omega0_ne_zero).1 ha
obtain ⟨m, rfl⟩ := lt_omega0.1 hb'
apply hb.trans_lt
exact_mod_cast nat_lt_omega0 (n + m)
theorem one_add_omega0 : 1 + ω = ω :=
mod_cast natCast_add_omega0 1
theorem add_omega0 {a : Ordinal} (h : a < ω) : a + ω = ω := by
obtain ⟨n, rfl⟩ := lt_omega0.1 h
exact natCast_add_omega0 n
@[simp]
theorem natCast_add_of_omega0_le {o} (h : ω ≤ o) (n : ℕ) : n + o = o := by
rw [← Ordinal.add_sub_cancel_of_le h, ← add_assoc, natCast_add_omega0]
@[simp]
theorem one_add_of_omega0_le {o} (h : ω ≤ o) : 1 + o = o :=
mod_cast natCast_add_of_omega0_le h 1
open Ordinal
theorem isLimit_iff_omega0_dvd {a : Ordinal} : IsLimit a ↔ a ≠ 0 ∧ ω ∣ a := by
refine ⟨fun l => ⟨l.ne_zero, ⟨a / ω, le_antisymm ?_ (mul_div_le _ _)⟩⟩, fun h => ?_⟩
· refine (limit_le l).2 fun x hx => le_of_lt ?_
rw [← div_lt omega0_ne_zero, ← succ_le_iff, le_div omega0_ne_zero, mul_succ,
add_le_of_limit isLimit_omega0]
intro b hb
rcases lt_omega0.1 hb with ⟨n, rfl⟩
exact
(add_le_add_right (mul_div_le _ _) _).trans
(lt_sub.1 <| nat_lt_limit (isLimit_sub l hx) _).le
· rcases h with ⟨a0, b, rfl⟩
refine isLimit_mul_left isLimit_omega0 (Ordinal.pos_iff_ne_zero.2 <| mt ?_ a0)
intro e
simp only [e, mul_zero]
@[simp]
theorem natCast_mod_omega0 (n : ℕ) : n % ω = n :=
mod_eq_of_lt (nat_lt_omega0 n)
end Ordinal
namespace Cardinal
open Ordinal
@[simp]
theorem add_one_of_aleph0_le {c} (h : ℵ₀ ≤ c) : c + 1 = c := by
rw [add_comm, ← card_ord c, ← card_one, ← card_add, one_add_of_omega0_le]
rwa [← ord_aleph0, ord_le_ord]
theorem isLimit_ord {c} (co : ℵ₀ ≤ c) : (ord c).IsLimit := by
rw [isLimit_iff, isSuccPrelimit_iff_succ_lt]
refine ⟨fun h => aleph0_ne_zero ?_, fun a => lt_imp_lt_of_le_imp_le fun h => ?_⟩
· rw [← Ordinal.le_zero, ord_le] at h
simpa only [card_zero, nonpos_iff_eq_zero] using co.trans h
· rw [ord_le] at h ⊢
rwa [← @add_one_of_aleph0_le (card a), ← card_succ]
rw [← ord_le, ← le_succ_of_isLimit, ord_le]
· exact co.trans h
· rw [ord_aleph0]
exact Ordinal.isLimit_omega0
theorem noMaxOrder {c} (h : ℵ₀ ≤ c) : NoMaxOrder c.ord.toType :=
toType_noMax_of_succ_lt fun _ ↦ (isLimit_ord h).succ_lt
end Cardinal
| Mathlib/SetTheory/Ordinal/Arithmetic.lean | 1,620 | 1,627 | |
/-
Copyright (c) 2020 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen, Eric Wieser
-/
import Mathlib.Algebra.Group.Fin.Tuple
import Mathlib.Data.Matrix.RowCol
import Mathlib.Data.Fin.VecNotation
import Mathlib.Tactic.FinCases
import Mathlib.Algebra.BigOperators.Fin
/-!
# Matrix and vector notation
This file includes `simp` lemmas for applying operations in `Data.Matrix.Basic` to values built out
of the matrix notation `![a, b] = vecCons a (vecCons b vecEmpty)` defined in
`Data.Fin.VecNotation`.
This also provides the new notation `!![a, b; c, d] = Matrix.of ![![a, b], ![c, d]]`.
This notation also works for empty matrices; `!![,,,] : Matrix (Fin 0) (Fin 3)` and
`!![;;;] : Matrix (Fin 3) (Fin 0)`.
## Implementation notes
The `simp` lemmas require that one of the arguments is of the form `vecCons _ _`.
This ensures `simp` works with entries only when (some) entries are already given.
In other words, this notation will only appear in the output of `simp` if it
already appears in the input.
## Notations
This file provide notation `!![a, b; c, d]` for matrices, which corresponds to
`Matrix.of ![![a, b], ![c, d]]`.
## Examples
Examples of usage can be found in the `MathlibTest/matrix.lean` file.
-/
namespace Matrix
universe u uₘ uₙ uₒ
variable {α : Type u} {o n m : ℕ} {m' : Type uₘ} {n' : Type uₙ} {o' : Type uₒ}
open Matrix
section toExpr
open Lean Qq
open Qq in
/-- `Matrix.mkLiteralQ !![a, b; c, d]` produces the term `q(!![$a, $b; $c, $d])`. -/
def mkLiteralQ {u : Level} {α : Q(Type u)} {m n : Nat} (elems : Matrix (Fin m) (Fin n) Q($α)) :
Q(Matrix (Fin $m) (Fin $n) $α) :=
let elems := PiFin.mkLiteralQ (α := q(Fin $n → $α)) fun i => PiFin.mkLiteralQ fun j => elems i j
q(Matrix.of $elems)
/-- Matrices can be reflected whenever their entries can. We insert a `Matrix.of` to
prevent immediate decay to a function. -/
protected instance toExpr [ToLevel.{u}] [ToLevel.{uₘ}] [ToLevel.{uₙ}]
[Lean.ToExpr α] [Lean.ToExpr m'] [Lean.ToExpr n'] [Lean.ToExpr (m' → n' → α)] :
Lean.ToExpr (Matrix m' n' α) :=
have eα : Q(Type $(toLevel.{u})) := toTypeExpr α
have em' : Q(Type $(toLevel.{uₘ})) := toTypeExpr m'
have en' : Q(Type $(toLevel.{uₙ})) := toTypeExpr n'
{ toTypeExpr :=
q(Matrix $eα $em' $en')
toExpr := fun M =>
have eM : Q($em' → $en' → $eα) := toExpr (show m' → n' → α from M)
q(Matrix.of $eM) }
end toExpr
section Parser
open Lean Meta Elab Term Macro TSyntax PrettyPrinter.Delaborator SubExpr
/-- Notation for m×n matrices, aka `Matrix (Fin m) (Fin n) α`.
For instance:
* `!![a, b, c; d, e, f]` is the matrix with two rows and three columns, of type
`Matrix (Fin 2) (Fin 3) α`
* `!![a, b, c]` is a row vector of type `Matrix (Fin 1) (Fin 3) α` (see also `Matrix.row`).
* `!![a; b; c]` is a column vector of type `Matrix (Fin 3) (Fin 1) α` (see also `Matrix.col`).
This notation implements some special cases:
* `![,,]`, with `n` `,`s, is a term of type `Matrix (Fin 0) (Fin n) α`
* `![;;]`, with `m` `;`s, is a term of type `Matrix (Fin m) (Fin 0) α`
* `![]` is the 0×0 matrix
Note that vector notation is provided elsewhere (by `Matrix.vecNotation`) as `![a, b, c]`.
Under the hood, `!![a, b, c; d, e, f]` is syntax for `Matrix.of ![![a, b, c], ![d, e, f]]`.
-/
syntax (name := matrixNotation)
"!![" ppRealGroup(sepBy1(ppGroup(term,+,?), ";", "; ", allowTrailingSep)) "]" : term
@[inherit_doc matrixNotation]
syntax (name := matrixNotationRx0) "!![" ";"+ "]" : term
@[inherit_doc matrixNotation]
syntax (name := matrixNotation0xC) "!![" ","* "]" : term
macro_rules
| `(!![$[$[$rows],*];*]) => do
let m := rows.size
let n := if h : 0 < m then rows[0].size else 0
let rowVecs ← rows.mapM fun row : Array Term => do
unless row.size = n do
Macro.throwErrorAt (mkNullNode row) s!"\
Rows must be of equal length; this row has {row.size} items, \
the previous rows have {n}"
`(![$row,*])
`(@Matrix.of (Fin $(quote m)) (Fin $(quote n)) _ ![$rowVecs,*])
| `(!![$[;%$semicolons]*]) => do
let emptyVec ← `(![])
let emptyVecs := semicolons.map (fun _ => emptyVec)
`(@Matrix.of (Fin $(quote semicolons.size)) (Fin 0) _ ![$emptyVecs,*])
| `(!![$[,%$commas]*]) => `(@Matrix.of (Fin 0) (Fin $(quote commas.size)) _ ![])
/-- Delaborator for the `!![]` notation. -/
@[app_delab DFunLike.coe]
def delabMatrixNotation : Delab := whenNotPPOption getPPExplicit <| whenPPOption getPPNotation <|
withOverApp 6 do
let mkApp3 (.const ``Matrix.of _) (.app (.const ``Fin _) em) (.app (.const ``Fin _) en) _ :=
(← getExpr).appFn!.appArg! | failure
let some m ← withNatValue em (pure ∘ some) | failure
let some n ← withNatValue en (pure ∘ some) | failure
withAppArg do
if m = 0 then
guard <| (← getExpr).isAppOfArity ``vecEmpty 1
let commas := .replicate n (mkAtom ",")
`(!![$[,%$commas]*])
else
if n = 0 then
let `(![$[![]%$evecs],*]) ← delab | failure
`(!![$[;%$evecs]*])
else
let `(![$[![$[$melems],*]],*]) ← delab | failure
`(!![$[$[$melems],*];*])
end Parser
variable (a b : ℕ)
/-- Use `![...]` notation for displaying a `Fin`-indexed matrix, for example:
```
#eval !![1, 2; 3, 4] + !![3, 4; 5, 6] -- !![4, 6; 8, 10]
```
-/
instance repr [Repr α] : Repr (Matrix (Fin m) (Fin n) α) where
reprPrec f _p :=
(Std.Format.bracket "!![" · "]") <|
(Std.Format.joinSep · (";" ++ Std.Format.line)) <|
(List.finRange m).map fun i =>
Std.Format.fill <| -- wrap line in a single place rather than all at once
(Std.Format.joinSep · ("," ++ Std.Format.line)) <|
(List.finRange n).map fun j => _root_.repr (f i j)
@[simp]
theorem cons_val' (v : n' → α) (B : Fin m → n' → α) (i j) :
vecCons v B i j = vecCons (v j) (fun i => B i j) i := by refine Fin.cases ?_ ?_ i <;> simp
@[simp]
theorem head_val' (B : Fin m.succ → n' → α) (j : n') : (vecHead fun i => B i j) = vecHead B j :=
rfl
@[simp]
theorem tail_val' (B : Fin m.succ → n' → α) (j : n') :
(vecTail fun i => B i j) = fun i => vecTail B i j := rfl
section DotProduct
variable [AddCommMonoid α] [Mul α]
@[simp]
theorem dotProduct_empty (v w : Fin 0 → α) : dotProduct v w = 0 :=
Finset.sum_empty
@[simp]
theorem cons_dotProduct (x : α) (v : Fin n → α) (w : Fin n.succ → α) :
dotProduct (vecCons x v) w = x * vecHead w + dotProduct v (vecTail w) := by
simp [dotProduct, Fin.sum_univ_succ, vecHead, vecTail]
@[simp]
theorem dotProduct_cons (v : Fin n.succ → α) (x : α) (w : Fin n → α) :
dotProduct v (vecCons x w) = vecHead v * x + dotProduct (vecTail v) w := by
simp [dotProduct, Fin.sum_univ_succ, vecHead, vecTail]
theorem cons_dotProduct_cons (x : α) (v : Fin n → α) (y : α) (w : Fin n → α) :
dotProduct (vecCons x v) (vecCons y w) = x * y + dotProduct v w := by simp
end DotProduct
section ColRow
variable {ι : Type*}
@[simp]
theorem replicateCol_empty (v : Fin 0 → α) : replicateCol ι v = vecEmpty :=
empty_eq _
@[deprecated (since := "2025-03-20")] alias col_empty := replicateCol_empty
@[simp]
theorem replicateCol_cons (x : α) (u : Fin m → α) :
replicateCol ι (vecCons x u) = of (vecCons (fun _ => x) (replicateCol ι u)) := by
ext i j
refine Fin.cases ?_ ?_ i <;> simp [vecHead, vecTail]
@[deprecated (since := "2025-03-20")] alias col_cons := replicateCol_cons
@[simp]
theorem replicateRow_empty : replicateRow ι (vecEmpty : Fin 0 → α) = of fun _ => vecEmpty := rfl
@[deprecated (since := "2025-03-20")] alias row_empty := replicateRow_empty
@[simp]
theorem replicateRow_cons (x : α) (u : Fin m → α) :
replicateRow ι (vecCons x u) = of fun _ => vecCons x u :=
rfl
@[deprecated (since := "2025-03-20")] alias row_cons := replicateRow_cons
end ColRow
section Transpose
@[simp]
theorem transpose_empty_rows (A : Matrix m' (Fin 0) α) : Aᵀ = of ![] :=
empty_eq _
@[simp]
theorem transpose_empty_cols (A : Matrix (Fin 0) m' α) : Aᵀ = of fun _ => ![] :=
funext fun _ => empty_eq _
@[simp]
theorem cons_transpose (v : n' → α) (A : Matrix (Fin m) n' α) :
(of (vecCons v A))ᵀ = of fun i => vecCons (v i) (Aᵀ i) := by
ext i j
refine Fin.cases ?_ ?_ j <;> simp
@[simp]
theorem head_transpose (A : Matrix m' (Fin n.succ) α) :
vecHead (of.symm Aᵀ) = vecHead ∘ of.symm A :=
rfl
@[simp]
theorem tail_transpose (A : Matrix m' (Fin n.succ) α) : vecTail (of.symm Aᵀ) = (vecTail ∘ A)ᵀ := by
ext i j
rfl
end Transpose
section Mul
variable [NonUnitalNonAssocSemiring α]
@[simp]
theorem empty_mul [Fintype n'] (A : Matrix (Fin 0) n' α) (B : Matrix n' o' α) : A * B = of ![] :=
empty_eq _
@[simp]
theorem empty_mul_empty (A : Matrix m' (Fin 0) α) (B : Matrix (Fin 0) o' α) : A * B = 0 :=
rfl
@[simp]
theorem mul_empty [Fintype n'] (A : Matrix m' n' α) (B : Matrix n' (Fin 0) α) :
A * B = of fun _ => ![] :=
funext fun _ => empty_eq _
theorem mul_val_succ [Fintype n'] (A : Matrix (Fin m.succ) n' α) (B : Matrix n' o' α) (i : Fin m)
(j : o') : (A * B) i.succ j = (of (vecTail (of.symm A)) * B) i j :=
rfl
@[simp]
theorem cons_mul [Fintype n'] (v : n' → α) (A : Fin m → n' → α) (B : Matrix n' o' α) :
of (vecCons v A) * B = of (vecCons (v ᵥ* B) (of.symm (of A * B))) := by
ext i j
refine Fin.cases ?_ ?_ i
· rfl
simp [mul_val_succ]
end Mul
section VecMul
variable [NonUnitalNonAssocSemiring α]
@[simp]
theorem empty_vecMul (v : Fin 0 → α) (B : Matrix (Fin 0) o' α) : v ᵥ* B = 0 :=
rfl
@[simp]
theorem vecMul_empty [Fintype n'] (v : n' → α) (B : Matrix n' (Fin 0) α) : v ᵥ* B = ![] :=
empty_eq _
@[simp]
theorem cons_vecMul (x : α) (v : Fin n → α) (B : Fin n.succ → o' → α) :
vecCons x v ᵥ* of B = x • vecHead B + v ᵥ* of (vecTail B) := by
ext i
simp [vecMul]
@[simp]
theorem vecMul_cons (v : Fin n.succ → α) (w : o' → α) (B : Fin n → o' → α) :
v ᵥ* of (vecCons w B) = vecHead v • w + vecTail v ᵥ* of B := by
ext i
simp [vecMul]
theorem cons_vecMul_cons (x : α) (v : Fin n → α) (w : o' → α) (B : Fin n → o' → α) :
vecCons x v ᵥ* of (vecCons w B) = x • w + v ᵥ* of B := by simp
end VecMul
section MulVec
variable [NonUnitalNonAssocSemiring α]
@[simp]
theorem empty_mulVec [Fintype n'] (A : Matrix (Fin 0) n' α) (v : n' → α) : A *ᵥ v = ![] :=
empty_eq _
@[simp]
theorem mulVec_empty (A : Matrix m' (Fin 0) α) (v : Fin 0 → α) : A *ᵥ v = 0 :=
rfl
@[simp]
theorem cons_mulVec [Fintype n'] (v : n' → α) (A : Fin m → n' → α) (w : n' → α) :
(of <| vecCons v A) *ᵥ w = vecCons (dotProduct v w) (of A *ᵥ w) := by
ext i
refine Fin.cases ?_ ?_ i <;> simp [mulVec]
@[simp]
theorem mulVec_cons {α} [NonUnitalCommSemiring α] (A : m' → Fin n.succ → α) (x : α)
(v : Fin n → α) : (of A) *ᵥ (vecCons x v) = x • vecHead ∘ A + (of (vecTail ∘ A)) *ᵥ v := by
ext i
simp [mulVec, mul_comm]
end MulVec
section VecMulVec
variable [NonUnitalNonAssocSemiring α]
@[simp]
theorem empty_vecMulVec (v : Fin 0 → α) (w : n' → α) : vecMulVec v w = ![] :=
empty_eq _
@[simp]
theorem vecMulVec_empty (v : m' → α) (w : Fin 0 → α) : vecMulVec v w = of fun _ => ![] :=
funext fun _ => empty_eq _
@[simp]
theorem cons_vecMulVec (x : α) (v : Fin m → α) (w : n' → α) :
vecMulVec (vecCons x v) w = vecCons (x • w) (vecMulVec v w) := by
ext i
refine Fin.cases ?_ ?_ i <;> simp [vecMulVec]
@[simp]
theorem vecMulVec_cons (v : m' → α) (x : α) (w : Fin n → α) :
vecMulVec v (vecCons x w) = of fun i => v i • vecCons x w := rfl
end VecMulVec
section SMul
variable [NonUnitalNonAssocSemiring α]
theorem smul_mat_empty {m' : Type*} (x : α) (A : Fin 0 → m' → α) : x • A = ![] :=
empty_eq _
theorem smul_mat_cons (x : α) (v : n' → α) (A : Fin m → n' → α) :
x • vecCons v A = vecCons (x • v) (x • A) := by
ext i
refine Fin.cases ?_ ?_ i <;> simp
end SMul
section Submatrix
@[simp]
theorem submatrix_empty (A : Matrix m' n' α) (row : Fin 0 → m') (col : o' → n') :
submatrix A row col = ![] :=
empty_eq _
@[simp]
theorem submatrix_cons_row (A : Matrix m' n' α) (i : m') (row : Fin m → m') (col : o' → n') :
submatrix A (vecCons i row) col = vecCons (fun j => A i (col j)) (submatrix A row col) := by
ext i j
refine Fin.cases ?_ ?_ i <;> simp [submatrix]
/-- Updating a row then removing it is the same as removing it. -/
@[simp]
theorem submatrix_updateRow_succAbove (A : Matrix (Fin m.succ) n' α) (v : n' → α) (f : o' → n')
(i : Fin m.succ) : (A.updateRow i v).submatrix i.succAbove f = A.submatrix i.succAbove f :=
ext fun r s => (congr_fun (updateRow_ne (Fin.succAbove_ne i r) : _ = A _) (f s) :)
/-- Updating a column then removing it is the same as removing it. -/
@[simp]
theorem submatrix_updateCol_succAbove (A : Matrix m' (Fin n.succ) α) (v : m' → α) (f : o' → m')
(i : Fin n.succ) : (A.updateCol i v).submatrix f i.succAbove = A.submatrix f i.succAbove :=
ext fun _r s => updateCol_ne (Fin.succAbove_ne i s)
@[deprecated (since := "2024-12-11")]
alias submatrix_updateColumn_succAbove := submatrix_updateCol_succAbove
end Submatrix
section Vec2AndVec3
section One
variable [Zero α] [One α]
theorem one_fin_two : (1 : Matrix (Fin 2) (Fin 2) α) = !![1, 0; 0, 1] := by
ext i j
fin_cases i <;> fin_cases j <;> rfl
theorem one_fin_three : (1 : Matrix (Fin 3) (Fin 3) α) = !![1, 0, 0; 0, 1, 0; 0, 0, 1] := by
ext i j
fin_cases i <;> fin_cases j <;> rfl
end One
section AddMonoidWithOne
variable [AddMonoidWithOne α]
theorem natCast_fin_two (n : ℕ) : (n : Matrix (Fin 2) (Fin 2) α) = !![↑n, 0; 0, ↑n] := by
ext i j
fin_cases i <;> fin_cases j <;> rfl
theorem natCast_fin_three (n : ℕ) :
(n : Matrix (Fin 3) (Fin 3) α) = !![↑n, 0, 0; 0, ↑n, 0; 0, 0, ↑n] := by
ext i j
fin_cases i <;> fin_cases j <;> rfl
theorem ofNat_fin_two (n : ℕ) [n.AtLeastTwo] :
(ofNat(n) : Matrix (Fin 2) (Fin 2) α) =
!![ofNat(n), 0; 0, ofNat(n)] :=
natCast_fin_two _
theorem ofNat_fin_three (n : ℕ) [n.AtLeastTwo] :
(ofNat(n) : Matrix (Fin 3) (Fin 3) α) =
!![ofNat(n), 0, 0; 0, ofNat(n), 0; 0, 0, ofNat(n)] :=
natCast_fin_three _
end AddMonoidWithOne
theorem eta_fin_two (A : Matrix (Fin 2) (Fin 2) α) : A = !![A 0 0, A 0 1; A 1 0, A 1 1] := by
ext i j
fin_cases i <;> fin_cases j <;> rfl
theorem eta_fin_three (A : Matrix (Fin 3) (Fin 3) α) :
A = !![A 0 0, A 0 1, A 0 2;
A 1 0, A 1 1, A 1 2;
A 2 0, A 2 1, A 2 2] := by
ext i j
fin_cases i <;> fin_cases j <;> rfl
theorem mul_fin_two [AddCommMonoid α] [Mul α] (a₁₁ a₁₂ a₂₁ a₂₂ b₁₁ b₁₂ b₂₁ b₂₂ : α) :
!![a₁₁, a₁₂;
a₂₁, a₂₂] * !![b₁₁, b₁₂;
b₂₁, b₂₂] = !![a₁₁ * b₁₁ + a₁₂ * b₂₁, a₁₁ * b₁₂ + a₁₂ * b₂₂;
a₂₁ * b₁₁ + a₂₂ * b₂₁, a₂₁ * b₁₂ + a₂₂ * b₂₂] := by
ext i j
fin_cases i <;> fin_cases j <;> simp [Matrix.mul_apply, dotProduct, Fin.sum_univ_succ]
theorem mul_fin_three [AddCommMonoid α] [Mul α]
(a₁₁ a₁₂ a₁₃ a₂₁ a₂₂ a₂₃ a₃₁ a₃₂ a₃₃ b₁₁ b₁₂ b₁₃ b₂₁ b₂₂ b₂₃ b₃₁ b₃₂ b₃₃ : α) :
!![a₁₁, a₁₂, a₁₃;
a₂₁, a₂₂, a₂₃;
a₃₁, a₃₂, a₃₃] * !![b₁₁, b₁₂, b₁₃;
b₂₁, b₂₂, b₂₃;
b₃₁, b₃₂, b₃₃] =
!![a₁₁*b₁₁ + a₁₂*b₂₁ + a₁₃*b₃₁, a₁₁*b₁₂ + a₁₂*b₂₂ + a₁₃*b₃₂, a₁₁*b₁₃ + a₁₂*b₂₃ + a₁₃*b₃₃;
a₂₁*b₁₁ + a₂₂*b₂₁ + a₂₃*b₃₁, a₂₁*b₁₂ + a₂₂*b₂₂ + a₂₃*b₃₂, a₂₁*b₁₃ + a₂₂*b₂₃ + a₂₃*b₃₃;
a₃₁*b₁₁ + a₃₂*b₂₁ + a₃₃*b₃₁, a₃₁*b₁₂ + a₃₂*b₂₂ + a₃₃*b₃₂, a₃₁*b₁₃ + a₃₂*b₂₃ + a₃₃*b₃₃] := by
ext i j
fin_cases i <;> fin_cases j
<;> simp [Matrix.mul_apply, dotProduct, Fin.sum_univ_succ, ← add_assoc]
theorem vec2_eq {a₀ a₁ b₀ b₁ : α} (h₀ : a₀ = b₀) (h₁ : a₁ = b₁) : ![a₀, a₁] = ![b₀, b₁] := by
subst_vars
rfl
theorem vec3_eq {a₀ a₁ a₂ b₀ b₁ b₂ : α} (h₀ : a₀ = b₀) (h₁ : a₁ = b₁) (h₂ : a₂ = b₂) :
![a₀, a₁, a₂] = ![b₀, b₁, b₂] := by
subst_vars
rfl
theorem vec2_add [Add α] (a₀ a₁ b₀ b₁ : α) : ![a₀, a₁] + ![b₀, b₁] = ![a₀ + b₀, a₁ + b₁] := by
rw [cons_add_cons, cons_add_cons, empty_add_empty]
theorem vec3_add [Add α] (a₀ a₁ a₂ b₀ b₁ b₂ : α) :
![a₀, a₁, a₂] + ![b₀, b₁, b₂] = ![a₀ + b₀, a₁ + b₁, a₂ + b₂] := by
rw [cons_add_cons, cons_add_cons, cons_add_cons, empty_add_empty]
theorem smul_vec2 {R : Type*} [SMul R α] (x : R) (a₀ a₁ : α) :
x • ![a₀, a₁] = ![x • a₀, x • a₁] := by rw [smul_cons, smul_cons, smul_empty]
theorem smul_vec3 {R : Type*} [SMul R α] (x : R) (a₀ a₁ a₂ : α) :
x • ![a₀, a₁, a₂] = ![x • a₀, x • a₁, x • a₂] := by
rw [smul_cons, smul_cons, smul_cons, smul_empty]
variable [AddCommMonoid α] [Mul α]
theorem vec2_dotProduct' {a₀ a₁ b₀ b₁ : α} : ![a₀, a₁] ⬝ᵥ ![b₀, b₁] = a₀ * b₀ + a₁ * b₁ := by
rw [cons_dotProduct_cons, cons_dotProduct_cons, dotProduct_empty, add_zero]
@[simp]
theorem vec2_dotProduct (v w : Fin 2 → α) : v ⬝ᵥ w = v 0 * w 0 + v 1 * w 1 :=
vec2_dotProduct'
theorem vec3_dotProduct' {a₀ a₁ a₂ b₀ b₁ b₂ : α} :
![a₀, a₁, a₂] ⬝ᵥ ![b₀, b₁, b₂] = a₀ * b₀ + a₁ * b₁ + a₂ * b₂ := by
rw [cons_dotProduct_cons, cons_dotProduct_cons, cons_dotProduct_cons, dotProduct_empty,
add_zero, add_assoc]
| -- This is not tagged `@[simp]` because it does not mesh well with simp lemmas for
-- dot and cross products in dimension 3.
| Mathlib/Data/Matrix/Notation.lean | 519 | 520 |
/-
Copyright (c) 2017 Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Buzzard, Mario Carneiro
-/
import Mathlib.Algebra.Ring.CharZero
import Mathlib.Algebra.Star.Basic
import Mathlib.Data.Real.Basic
import Mathlib.Order.Interval.Set.UnorderedInterval
import Mathlib.Tactic.Ring
/-!
# The complex numbers
The complex numbers are modelled as ℝ^2 in the obvious way and it is shown that they form a field
of characteristic zero. The result that the complex numbers are algebraically closed, see
`FieldTheory.AlgebraicClosure`.
-/
assert_not_exists Multiset Algebra
open Set Function
/-! ### Definition and basic arithmetic -/
/-- Complex numbers consist of two `Real`s: a real part `re` and an imaginary part `im`. -/
structure Complex : Type where
/-- The real part of a complex number. -/
re : ℝ
/-- The imaginary part of a complex number. -/
im : ℝ
@[inherit_doc] notation "ℂ" => Complex
namespace Complex
open ComplexConjugate
noncomputable instance : DecidableEq ℂ :=
Classical.decEq _
/-- The equivalence between the complex numbers and `ℝ × ℝ`. -/
@[simps apply]
def equivRealProd : ℂ ≃ ℝ × ℝ where
toFun z := ⟨z.re, z.im⟩
invFun p := ⟨p.1, p.2⟩
left_inv := fun ⟨_, _⟩ => rfl
right_inv := fun ⟨_, _⟩ => rfl
@[simp]
theorem eta : ∀ z : ℂ, Complex.mk z.re z.im = z
| ⟨_, _⟩ => rfl
-- We only mark this lemma with `ext` *locally* to avoid it applying whenever terms of `ℂ` appear.
theorem ext : ∀ {z w : ℂ}, z.re = w.re → z.im = w.im → z = w
| ⟨_, _⟩, ⟨_, _⟩, rfl, rfl => rfl
attribute [local ext] Complex.ext
lemma «forall» {p : ℂ → Prop} : (∀ x, p x) ↔ ∀ a b, p ⟨a, b⟩ := by aesop
lemma «exists» {p : ℂ → Prop} : (∃ x, p x) ↔ ∃ a b, p ⟨a, b⟩ := by aesop
theorem re_surjective : Surjective re := fun x => ⟨⟨x, 0⟩, rfl⟩
theorem im_surjective : Surjective im := fun y => ⟨⟨0, y⟩, rfl⟩
@[simp]
theorem range_re : range re = univ :=
re_surjective.range_eq
@[simp]
theorem range_im : range im = univ :=
im_surjective.range_eq
/-- The natural inclusion of the real numbers into the complex numbers. -/
@[coe]
def ofReal (r : ℝ) : ℂ :=
⟨r, 0⟩
instance : Coe ℝ ℂ :=
⟨ofReal⟩
@[simp, norm_cast]
theorem ofReal_re (r : ℝ) : Complex.re (r : ℂ) = r :=
rfl
@[simp, norm_cast]
theorem ofReal_im (r : ℝ) : (r : ℂ).im = 0 :=
rfl
theorem ofReal_def (r : ℝ) : (r : ℂ) = ⟨r, 0⟩ :=
rfl
@[simp, norm_cast]
theorem ofReal_inj {z w : ℝ} : (z : ℂ) = w ↔ z = w :=
⟨congrArg re, by apply congrArg⟩
theorem ofReal_injective : Function.Injective ((↑) : ℝ → ℂ) := fun _ _ => congrArg re
instance canLift : CanLift ℂ ℝ (↑) fun z => z.im = 0 where
prf z hz := ⟨z.re, ext rfl hz.symm⟩
/-- The product of a set on the real axis and a set on the imaginary axis of the complex plane,
denoted by `s ×ℂ t`. -/
def reProdIm (s t : Set ℝ) : Set ℂ :=
re ⁻¹' s ∩ im ⁻¹' t
@[deprecated (since := "2024-12-03")] protected alias Set.reProdIm := reProdIm
@[inherit_doc]
infixl:72 " ×ℂ " => reProdIm
theorem mem_reProdIm {z : ℂ} {s t : Set ℝ} : z ∈ s ×ℂ t ↔ z.re ∈ s ∧ z.im ∈ t :=
Iff.rfl
instance : Zero ℂ :=
⟨(0 : ℝ)⟩
instance : Inhabited ℂ :=
⟨0⟩
@[simp]
theorem zero_re : (0 : ℂ).re = 0 :=
rfl
@[simp]
theorem zero_im : (0 : ℂ).im = 0 :=
rfl
@[simp, norm_cast]
theorem ofReal_zero : ((0 : ℝ) : ℂ) = 0 :=
rfl
@[simp]
theorem ofReal_eq_zero {z : ℝ} : (z : ℂ) = 0 ↔ z = 0 :=
ofReal_inj
theorem ofReal_ne_zero {z : ℝ} : (z : ℂ) ≠ 0 ↔ z ≠ 0 :=
not_congr ofReal_eq_zero
instance : One ℂ :=
⟨(1 : ℝ)⟩
@[simp]
theorem one_re : (1 : ℂ).re = 1 :=
rfl
@[simp]
theorem one_im : (1 : ℂ).im = 0 :=
rfl
@[simp, norm_cast]
theorem ofReal_one : ((1 : ℝ) : ℂ) = 1 :=
rfl
@[simp]
theorem ofReal_eq_one {z : ℝ} : (z : ℂ) = 1 ↔ z = 1 :=
ofReal_inj
theorem ofReal_ne_one {z : ℝ} : (z : ℂ) ≠ 1 ↔ z ≠ 1 :=
not_congr ofReal_eq_one
instance : Add ℂ :=
⟨fun z w => ⟨z.re + w.re, z.im + w.im⟩⟩
@[simp]
theorem add_re (z w : ℂ) : (z + w).re = z.re + w.re :=
rfl
@[simp]
theorem add_im (z w : ℂ) : (z + w).im = z.im + w.im :=
rfl
-- replaced by `re_ofNat`
-- replaced by `im_ofNat`
@[simp, norm_cast]
theorem ofReal_add (r s : ℝ) : ((r + s : ℝ) : ℂ) = r + s :=
Complex.ext_iff.2 <| by simp [ofReal]
-- replaced by `Complex.ofReal_ofNat`
instance : Neg ℂ :=
⟨fun z => ⟨-z.re, -z.im⟩⟩
@[simp]
theorem neg_re (z : ℂ) : (-z).re = -z.re :=
rfl
@[simp]
theorem neg_im (z : ℂ) : (-z).im = -z.im :=
rfl
@[simp, norm_cast]
theorem ofReal_neg (r : ℝ) : ((-r : ℝ) : ℂ) = -r :=
Complex.ext_iff.2 <| by simp [ofReal]
instance : Sub ℂ :=
⟨fun z w => ⟨z.re - w.re, z.im - w.im⟩⟩
instance : Mul ℂ :=
⟨fun z w => ⟨z.re * w.re - z.im * w.im, z.re * w.im + z.im * w.re⟩⟩
@[simp]
theorem mul_re (z w : ℂ) : (z * w).re = z.re * w.re - z.im * w.im :=
rfl
@[simp]
theorem mul_im (z w : ℂ) : (z * w).im = z.re * w.im + z.im * w.re :=
rfl
@[simp, norm_cast]
theorem ofReal_mul (r s : ℝ) : ((r * s : ℝ) : ℂ) = r * s :=
Complex.ext_iff.2 <| by simp [ofReal]
theorem re_ofReal_mul (r : ℝ) (z : ℂ) : (r * z).re = r * z.re := by simp [ofReal]
theorem im_ofReal_mul (r : ℝ) (z : ℂ) : (r * z).im = r * z.im := by simp [ofReal]
lemma re_mul_ofReal (z : ℂ) (r : ℝ) : (z * r).re = z.re * r := by simp [ofReal]
lemma im_mul_ofReal (z : ℂ) (r : ℝ) : (z * r).im = z.im * r := by simp [ofReal]
theorem ofReal_mul' (r : ℝ) (z : ℂ) : ↑r * z = ⟨r * z.re, r * z.im⟩ :=
ext (re_ofReal_mul _ _) (im_ofReal_mul _ _)
/-! ### The imaginary unit, `I` -/
/-- The imaginary unit. -/
def I : ℂ :=
⟨0, 1⟩
@[simp]
theorem I_re : I.re = 0 :=
rfl
@[simp]
theorem I_im : I.im = 1 :=
rfl
@[simp]
theorem I_mul_I : I * I = -1 :=
Complex.ext_iff.2 <| by simp
theorem I_mul (z : ℂ) : I * z = ⟨-z.im, z.re⟩ :=
Complex.ext_iff.2 <| by simp
@[simp] lemma I_ne_zero : (I : ℂ) ≠ 0 := mt (congr_arg im) zero_ne_one.symm
theorem mk_eq_add_mul_I (a b : ℝ) : Complex.mk a b = a + b * I :=
Complex.ext_iff.2 <| by simp [ofReal]
@[simp]
theorem re_add_im (z : ℂ) : (z.re : ℂ) + z.im * I = z :=
Complex.ext_iff.2 <| by simp [ofReal]
theorem mul_I_re (z : ℂ) : (z * I).re = -z.im := by simp
theorem mul_I_im (z : ℂ) : (z * I).im = z.re := by simp
theorem I_mul_re (z : ℂ) : (I * z).re = -z.im := by simp
theorem I_mul_im (z : ℂ) : (I * z).im = z.re := by simp
@[simp]
theorem equivRealProd_symm_apply (p : ℝ × ℝ) : equivRealProd.symm p = p.1 + p.2 * I := by
ext <;> simp [Complex.equivRealProd, ofReal]
/-- The natural `AddEquiv` from `ℂ` to `ℝ × ℝ`. -/
@[simps! +simpRhs apply symm_apply_re symm_apply_im]
def equivRealProdAddHom : ℂ ≃+ ℝ × ℝ :=
{ equivRealProd with map_add' := by simp }
theorem equivRealProdAddHom_symm_apply (p : ℝ × ℝ) :
equivRealProdAddHom.symm p = p.1 + p.2 * I := equivRealProd_symm_apply p
/-! ### Commutative ring instance and lemmas -/
/- We use a nonstandard formula for the `ℕ` and `ℤ` actions to make sure there is no
diamond from the other actions they inherit through the `ℝ`-action on `ℂ` and action transitivity
defined in `Data.Complex.Module`. -/
instance : Nontrivial ℂ :=
domain_nontrivial re rfl rfl
namespace SMul
-- The useless `0` multiplication in `smul` is to make sure that
-- `RestrictScalars.module ℝ ℂ ℂ = Complex.module` definitionally.
-- instance made scoped to avoid situations like instance synthesis
-- of `SMul ℂ ℂ` trying to proceed via `SMul ℂ ℝ`.
/-- Scalar multiplication by `R` on `ℝ` extends to `ℂ`. This is used here and in
`Matlib.Data.Complex.Module` to transfer instances from `ℝ` to `ℂ`, but is not
needed outside, so we make it scoped. -/
scoped instance instSMulRealComplex {R : Type*} [SMul R ℝ] : SMul R ℂ where
smul r x := ⟨r • x.re - 0 * x.im, r • x.im + 0 * x.re⟩
end SMul
open scoped SMul
section SMul
variable {R : Type*} [SMul R ℝ]
theorem smul_re (r : R) (z : ℂ) : (r • z).re = r • z.re := by simp [(· • ·), SMul.smul]
theorem smul_im (r : R) (z : ℂ) : (r • z).im = r • z.im := by simp [(· • ·), SMul.smul]
@[simp]
theorem real_smul {x : ℝ} {z : ℂ} : x • z = x * z :=
rfl
end SMul
instance addCommGroup : AddCommGroup ℂ :=
{ zero := (0 : ℂ)
add := (· + ·)
neg := Neg.neg
sub := Sub.sub
nsmul := fun n z => n • z
zsmul := fun n z => n • z
zsmul_zero' := by intros; ext <;> simp [smul_re, smul_im]
nsmul_zero := by intros; ext <;> simp [smul_re, smul_im]
nsmul_succ := by intros; ext <;> simp [smul_re, smul_im] <;> ring
zsmul_succ' := by intros; ext <;> simp [smul_re, smul_im] <;> ring
zsmul_neg' := by intros; ext <;> simp [smul_re, smul_im] <;> ring
add_assoc := by intros; ext <;> simp <;> ring
zero_add := by intros; ext <;> simp
add_zero := by intros; ext <;> simp
add_comm := by intros; ext <;> simp <;> ring
neg_add_cancel := by intros; ext <;> simp }
instance addGroupWithOne : AddGroupWithOne ℂ :=
{ Complex.addCommGroup with
natCast := fun n => ⟨n, 0⟩
natCast_zero := by
ext <;> simp [Nat.cast, AddMonoidWithOne.natCast_zero]
natCast_succ := fun _ => by ext <;> simp [Nat.cast, AddMonoidWithOne.natCast_succ]
intCast := fun n => ⟨n, 0⟩
intCast_ofNat := fun _ => by ext <;> rfl
intCast_negSucc := fun n => by
ext
· simp [AddGroupWithOne.intCast_negSucc]
show -(1 : ℝ) + (-n) = -(↑(n + 1))
simp [Nat.cast_add, add_comm]
· simp [AddGroupWithOne.intCast_negSucc]
show im ⟨n, 0⟩ = 0
rfl
one := 1 }
instance commRing : CommRing ℂ :=
{ addGroupWithOne with
mul := (· * ·)
npow := @npowRec _ ⟨(1 : ℂ)⟩ ⟨(· * ·)⟩
add_comm := by intros; ext <;> simp <;> ring
left_distrib := by intros; ext <;> simp [mul_re, mul_im] <;> ring
right_distrib := by intros; ext <;> simp [mul_re, mul_im] <;> ring
zero_mul := by intros; ext <;> simp
mul_zero := by intros; ext <;> simp
mul_assoc := by intros; ext <;> simp <;> ring
one_mul := by intros; ext <;> simp
mul_one := by intros; ext <;> simp
mul_comm := by intros; ext <;> simp <;> ring }
/-- This shortcut instance ensures we do not find `Ring` via the noncomputable `Complex.field`
instance. -/
instance : Ring ℂ := by infer_instance
/-- This shortcut instance ensures we do not find `CommSemiring` via the noncomputable
`Complex.field` instance. -/
instance : CommSemiring ℂ :=
inferInstance
/-- This shortcut instance ensures we do not find `Semiring` via the noncomputable
`Complex.field` instance. -/
instance : Semiring ℂ :=
inferInstance
/-- The "real part" map, considered as an additive group homomorphism. -/
def reAddGroupHom : ℂ →+ ℝ where
toFun := re
map_zero' := zero_re
map_add' := add_re
@[simp]
theorem coe_reAddGroupHom : (reAddGroupHom : ℂ → ℝ) = re :=
rfl
/-- The "imaginary part" map, considered as an additive group homomorphism. -/
def imAddGroupHom : ℂ →+ ℝ where
toFun := im
map_zero' := zero_im
map_add' := add_im
@[simp]
theorem coe_imAddGroupHom : (imAddGroupHom : ℂ → ℝ) = im :=
rfl
/-! ### Cast lemmas -/
instance instNNRatCast : NNRatCast ℂ where nnratCast q := ofReal q
instance instRatCast : RatCast ℂ where ratCast q := ofReal q
@[simp, norm_cast] lemma ofReal_ofNat (n : ℕ) [n.AtLeastTwo] : ofReal ofNat(n) = ofNat(n) := rfl
@[simp, norm_cast] lemma ofReal_natCast (n : ℕ) : ofReal n = n := rfl
@[simp, norm_cast] lemma ofReal_intCast (n : ℤ) : ofReal n = n := rfl
@[simp, norm_cast] lemma ofReal_nnratCast (q : ℚ≥0) : ofReal q = q := rfl
@[simp, norm_cast] lemma ofReal_ratCast (q : ℚ) : ofReal q = q := rfl
@[simp]
lemma re_ofNat (n : ℕ) [n.AtLeastTwo] : (ofNat(n) : ℂ).re = ofNat(n) := rfl
@[simp] lemma im_ofNat (n : ℕ) [n.AtLeastTwo] : (ofNat(n) : ℂ).im = 0 := rfl
@[simp, norm_cast] lemma natCast_re (n : ℕ) : (n : ℂ).re = n := rfl
@[simp, norm_cast] lemma natCast_im (n : ℕ) : (n : ℂ).im = 0 := rfl
@[simp, norm_cast] lemma intCast_re (n : ℤ) : (n : ℂ).re = n := rfl
@[simp, norm_cast] lemma intCast_im (n : ℤ) : (n : ℂ).im = 0 := rfl
@[simp, norm_cast] lemma re_nnratCast (q : ℚ≥0) : (q : ℂ).re = q := rfl
@[simp, norm_cast] lemma im_nnratCast (q : ℚ≥0) : (q : ℂ).im = 0 := rfl
@[simp, norm_cast] lemma ratCast_re (q : ℚ) : (q : ℂ).re = q := rfl
@[simp, norm_cast] lemma ratCast_im (q : ℚ) : (q : ℂ).im = 0 := rfl
lemma re_nsmul (n : ℕ) (z : ℂ) : (n • z).re = n • z.re := smul_re ..
lemma im_nsmul (n : ℕ) (z : ℂ) : (n • z).im = n • z.im := smul_im ..
lemma re_zsmul (n : ℤ) (z : ℂ) : (n • z).re = n • z.re := smul_re ..
lemma im_zsmul (n : ℤ) (z : ℂ) : (n • z).im = n • z.im := smul_im ..
@[simp] lemma re_nnqsmul (q : ℚ≥0) (z : ℂ) : (q • z).re = q • z.re := smul_re ..
@[simp] lemma im_nnqsmul (q : ℚ≥0) (z : ℂ) : (q • z).im = q • z.im := smul_im ..
@[simp] lemma re_qsmul (q : ℚ) (z : ℂ) : (q • z).re = q • z.re := smul_re ..
@[simp] lemma im_qsmul (q : ℚ) (z : ℂ) : (q • z).im = q • z.im := smul_im ..
@[norm_cast] lemma ofReal_nsmul (n : ℕ) (r : ℝ) : ↑(n • r) = n • (r : ℂ) := by simp
@[norm_cast] lemma ofReal_zsmul (n : ℤ) (r : ℝ) : ↑(n • r) = n • (r : ℂ) := by simp
/-! ### Complex conjugation -/
/-- This defines the complex conjugate as the `star` operation of the `StarRing ℂ`. It
is recommended to use the ring endomorphism version `starRingEnd`, available under the
notation `conj` in the locale `ComplexConjugate`. -/
instance : StarRing ℂ where
star z := ⟨z.re, -z.im⟩
star_involutive x := by simp only [eta, neg_neg]
star_mul a b := by ext <;> simp [add_comm] <;> ring
star_add a b := by ext <;> simp [add_comm]
@[simp]
theorem conj_re (z : ℂ) : (conj z).re = z.re :=
rfl
@[simp]
theorem conj_im (z : ℂ) : (conj z).im = -z.im :=
rfl
@[simp]
theorem conj_ofReal (r : ℝ) : conj (r : ℂ) = r :=
Complex.ext_iff.2 <| by simp [star]
@[simp]
theorem conj_I : conj I = -I :=
Complex.ext_iff.2 <| by simp
theorem conj_natCast (n : ℕ) : conj (n : ℂ) = n := map_natCast _ _
theorem conj_ofNat (n : ℕ) [n.AtLeastTwo] : conj (ofNat(n) : ℂ) = ofNat(n) :=
map_ofNat _ _
theorem conj_neg_I : conj (-I) = I := by simp
theorem conj_eq_iff_real {z : ℂ} : conj z = z ↔ ∃ r : ℝ, z = r :=
⟨fun h => ⟨z.re, ext rfl <| eq_zero_of_neg_eq (congr_arg im h)⟩, fun ⟨h, e⟩ => by
rw [e, conj_ofReal]⟩
theorem conj_eq_iff_re {z : ℂ} : conj z = z ↔ (z.re : ℂ) = z :=
conj_eq_iff_real.trans ⟨by rintro ⟨r, rfl⟩; simp [ofReal], fun h => ⟨_, h.symm⟩⟩
theorem conj_eq_iff_im {z : ℂ} : conj z = z ↔ z.im = 0 :=
⟨fun h => add_self_eq_zero.mp (neg_eq_iff_add_eq_zero.mp (congr_arg im h)), fun h =>
ext rfl (neg_eq_iff_add_eq_zero.mpr (add_self_eq_zero.mpr h))⟩
@[simp]
theorem star_def : (Star.star : ℂ → ℂ) = conj :=
rfl
/-! ### Norm squared -/
/-- The norm squared function. -/
@[pp_nodot]
def normSq : ℂ →*₀ ℝ where
toFun z := z.re * z.re + z.im * z.im
map_zero' := by simp
map_one' := by simp
map_mul' z w := by
dsimp
ring
theorem normSq_apply (z : ℂ) : normSq z = z.re * z.re + z.im * z.im :=
rfl
@[simp]
theorem normSq_ofReal (r : ℝ) : normSq r = r * r := by
simp [normSq, ofReal]
@[simp]
theorem normSq_natCast (n : ℕ) : normSq n = n * n := normSq_ofReal _
@[simp]
theorem normSq_intCast (z : ℤ) : normSq z = z * z := normSq_ofReal _
@[simp]
theorem normSq_ratCast (q : ℚ) : normSq q = q * q := normSq_ofReal _
@[simp]
theorem normSq_ofNat (n : ℕ) [n.AtLeastTwo] :
normSq (ofNat(n) : ℂ) = ofNat(n) * ofNat(n) :=
normSq_natCast _
@[simp]
theorem normSq_mk (x y : ℝ) : normSq ⟨x, y⟩ = x * x + y * y :=
rfl
theorem normSq_add_mul_I (x y : ℝ) : normSq (x + y * I) = x ^ 2 + y ^ 2 := by
rw [← mk_eq_add_mul_I, normSq_mk, sq, sq]
theorem normSq_eq_conj_mul_self {z : ℂ} : (normSq z : ℂ) = conj z * z := by
ext <;> simp [normSq, mul_comm, ofReal]
theorem normSq_zero : normSq 0 = 0 := by simp
theorem normSq_one : normSq 1 = 1 := by simp
@[simp]
theorem normSq_I : normSq I = 1 := by simp [normSq]
theorem normSq_nonneg (z : ℂ) : 0 ≤ normSq z :=
add_nonneg (mul_self_nonneg _) (mul_self_nonneg _)
theorem normSq_eq_zero {z : ℂ} : normSq z = 0 ↔ z = 0 :=
⟨fun h =>
ext (eq_zero_of_mul_self_add_mul_self_eq_zero h)
(eq_zero_of_mul_self_add_mul_self_eq_zero <| (add_comm _ _).trans h),
fun h => h.symm ▸ normSq_zero⟩
@[simp]
theorem normSq_pos {z : ℂ} : 0 < normSq z ↔ z ≠ 0 :=
(normSq_nonneg z).lt_iff_ne.trans <| not_congr (eq_comm.trans normSq_eq_zero)
@[simp]
theorem normSq_neg (z : ℂ) : normSq (-z) = normSq z := by simp [normSq]
@[simp]
theorem normSq_conj (z : ℂ) : normSq (conj z) = normSq z := by simp [normSq]
theorem normSq_mul (z w : ℂ) : normSq (z * w) = normSq z * normSq w :=
normSq.map_mul z w
theorem normSq_add (z w : ℂ) : normSq (z + w) = normSq z + normSq w + 2 * (z * conj w).re := by
dsimp [normSq]; ring
theorem re_sq_le_normSq (z : ℂ) : z.re * z.re ≤ normSq z :=
le_add_of_nonneg_right (mul_self_nonneg _)
theorem im_sq_le_normSq (z : ℂ) : z.im * z.im ≤ normSq z :=
le_add_of_nonneg_left (mul_self_nonneg _)
theorem mul_conj (z : ℂ) : z * conj z = normSq z :=
Complex.ext_iff.2 <| by simp [normSq, mul_comm, sub_eq_neg_add, add_comm, ofReal]
theorem add_conj (z : ℂ) : z + conj z = (2 * z.re : ℝ) :=
Complex.ext_iff.2 <| by simp [two_mul, ofReal]
/-- The coercion `ℝ → ℂ` as a `RingHom`. -/
def ofRealHom : ℝ →+* ℂ where
toFun x := (x : ℂ)
map_one' := ofReal_one
map_zero' := ofReal_zero
map_mul' := ofReal_mul
map_add' := ofReal_add
@[simp] lemma ofRealHom_eq_coe (r : ℝ) : ofRealHom r = r := rfl
variable {α : Type*}
@[simp] lemma ofReal_comp_add (f g : α → ℝ) : ofReal ∘ (f + g) = ofReal ∘ f + ofReal ∘ g :=
map_comp_add ofRealHom ..
@[simp] lemma ofReal_comp_sub (f g : α → ℝ) : ofReal ∘ (f - g) = ofReal ∘ f - ofReal ∘ g :=
map_comp_sub ofRealHom ..
@[simp] lemma ofReal_comp_neg (f : α → ℝ) : ofReal ∘ (-f) = -(ofReal ∘ f) :=
map_comp_neg ofRealHom _
lemma ofReal_comp_nsmul (n : ℕ) (f : α → ℝ) : ofReal ∘ (n • f) = n • (ofReal ∘ f) :=
map_comp_nsmul ofRealHom ..
lemma ofReal_comp_zsmul (n : ℤ) (f : α → ℝ) : ofReal ∘ (n • f) = n • (ofReal ∘ f) :=
map_comp_zsmul ofRealHom ..
@[simp] lemma ofReal_comp_mul (f g : α → ℝ) : ofReal ∘ (f * g) = ofReal ∘ f * ofReal ∘ g :=
map_comp_mul ofRealHom ..
@[simp] lemma ofReal_comp_pow (f : α → ℝ) (n : ℕ) : ofReal ∘ (f ^ n) = (ofReal ∘ f) ^ n :=
map_comp_pow ofRealHom ..
@[simp]
theorem I_sq : I ^ 2 = -1 := by rw [sq, I_mul_I]
@[simp]
lemma I_pow_three : I ^ 3 = -I := by rw [pow_succ, I_sq, neg_one_mul]
@[simp]
theorem I_pow_four : I ^ 4 = 1 := by rw [(by norm_num : 4 = 2 * 2), pow_mul, I_sq, neg_one_sq]
lemma I_pow_eq_pow_mod (n : ℕ) : I ^ n = I ^ (n % 4) := by
conv_lhs => rw [← Nat.div_add_mod n 4]
simp [pow_add, pow_mul, I_pow_four]
@[simp]
theorem sub_re (z w : ℂ) : (z - w).re = z.re - w.re :=
rfl
@[simp]
theorem sub_im (z w : ℂ) : (z - w).im = z.im - w.im :=
rfl
@[simp, norm_cast]
theorem ofReal_sub (r s : ℝ) : ((r - s : ℝ) : ℂ) = r - s :=
Complex.ext_iff.2 <| by simp [ofReal]
@[simp, norm_cast]
theorem ofReal_pow (r : ℝ) (n : ℕ) : ((r ^ n : ℝ) : ℂ) = (r : ℂ) ^ n := by
induction n <;> simp [*, ofReal_mul, pow_succ]
theorem sub_conj (z : ℂ) : z - conj z = (2 * z.im : ℝ) * I :=
Complex.ext_iff.2 <| by simp [two_mul, sub_eq_add_neg, ofReal]
theorem normSq_sub (z w : ℂ) : normSq (z - w) = normSq z + normSq w - 2 * (z * conj w).re := by
rw [sub_eq_add_neg, normSq_add]
simp only [RingHom.map_neg, mul_neg, neg_re, normSq_neg]
ring
/-! ### Inversion -/
noncomputable instance : Inv ℂ :=
⟨fun z => conj z * ((normSq z)⁻¹ : ℝ)⟩
theorem inv_def (z : ℂ) : z⁻¹ = conj z * ((normSq z)⁻¹ : ℝ) :=
rfl
@[simp]
theorem inv_re (z : ℂ) : z⁻¹.re = z.re / normSq z := by simp [inv_def, division_def, ofReal]
@[simp]
theorem inv_im (z : ℂ) : z⁻¹.im = -z.im / normSq z := by simp [inv_def, division_def, ofReal]
@[simp, norm_cast]
theorem ofReal_inv (r : ℝ) : ((r⁻¹ : ℝ) : ℂ) = (r : ℂ)⁻¹ :=
Complex.ext_iff.2 <| by simp [ofReal]
protected theorem inv_zero : (0⁻¹ : ℂ) = 0 := by
rw [← ofReal_zero, ← ofReal_inv, inv_zero]
protected theorem mul_inv_cancel {z : ℂ} (h : z ≠ 0) : z * z⁻¹ = 1 := by
rw [inv_def, ← mul_assoc, mul_conj, ← ofReal_mul, mul_inv_cancel₀ (mt normSq_eq_zero.1 h),
ofReal_one]
noncomputable instance instDivInvMonoid : DivInvMonoid ℂ where
lemma div_re (z w : ℂ) : (z / w).re = z.re * w.re / normSq w + z.im * w.im / normSq w := by
simp [div_eq_mul_inv, mul_assoc, sub_eq_add_neg]
lemma div_im (z w : ℂ) : (z / w).im = z.im * w.re / normSq w - z.re * w.im / normSq w := by
simp [div_eq_mul_inv, mul_assoc, sub_eq_add_neg, add_comm]
/-! ### Field instance and lemmas -/
noncomputable instance instField : Field ℂ where
mul_inv_cancel := @Complex.mul_inv_cancel
inv_zero := Complex.inv_zero
nnqsmul := (· • ·)
qsmul := (· • ·)
nnratCast_def q := by ext <;> simp [NNRat.cast_def, div_re, div_im, mul_div_mul_comm]
ratCast_def q := by ext <;> simp [Rat.cast_def, div_re, div_im, mul_div_mul_comm]
nnqsmul_def n z := Complex.ext_iff.2 <| by simp [NNRat.smul_def, smul_re, smul_im]
qsmul_def n z := Complex.ext_iff.2 <| by simp [Rat.smul_def, smul_re, smul_im]
@[simp, norm_cast]
lemma ofReal_nnqsmul (q : ℚ≥0) (r : ℝ) : ofReal (q • r) = q • r := by simp [NNRat.smul_def]
@[simp, norm_cast]
lemma ofReal_qsmul (q : ℚ) (r : ℝ) : ofReal (q • r) = q • r := by simp [Rat.smul_def]
theorem conj_inv (x : ℂ) : conj x⁻¹ = (conj x)⁻¹ :=
star_inv₀ _
@[simp, norm_cast]
theorem ofReal_div (r s : ℝ) : ((r / s : ℝ) : ℂ) = r / s := map_div₀ ofRealHom r s
@[simp, norm_cast]
theorem ofReal_zpow (r : ℝ) (n : ℤ) : ((r ^ n : ℝ) : ℂ) = (r : ℂ) ^ n := map_zpow₀ ofRealHom r n
@[simp]
theorem div_I (z : ℂ) : z / I = -(z * I) :=
(div_eq_iff_mul_eq I_ne_zero).2 <| by simp [mul_assoc]
@[simp]
theorem inv_I : I⁻¹ = -I := by
rw [inv_eq_one_div, div_I, one_mul]
theorem normSq_inv (z : ℂ) : normSq z⁻¹ = (normSq z)⁻¹ := by simp
theorem normSq_div (z w : ℂ) : normSq (z / w) = normSq z / normSq w := by simp
lemma div_ofReal (z : ℂ) (x : ℝ) : z / x = ⟨z.re / x, z.im / x⟩ := by
simp_rw [div_eq_inv_mul, ← ofReal_inv, ofReal_mul']
lemma div_natCast (z : ℂ) (n : ℕ) : z / n = ⟨z.re / n, z.im / n⟩ :=
mod_cast div_ofReal z n
lemma div_intCast (z : ℂ) (n : ℤ) : z / n = ⟨z.re / n, z.im / n⟩ :=
mod_cast div_ofReal z n
lemma div_ratCast (z : ℂ) (x : ℚ) : z / x = ⟨z.re / x, z.im / x⟩ :=
mod_cast div_ofReal z x
lemma div_ofNat (z : ℂ) (n : ℕ) [n.AtLeastTwo] :
z / ofNat(n) = ⟨z.re / ofNat(n), z.im / ofNat(n)⟩ :=
div_natCast z n
@[simp] lemma div_ofReal_re (z : ℂ) (x : ℝ) : (z / x).re = z.re / x := by rw [div_ofReal]
@[simp] lemma div_ofReal_im (z : ℂ) (x : ℝ) : (z / x).im = z.im / x := by rw [div_ofReal]
@[simp] lemma div_natCast_re (z : ℂ) (n : ℕ) : (z / n).re = z.re / n := by rw [div_natCast]
@[simp] lemma div_natCast_im (z : ℂ) (n : ℕ) : (z / n).im = z.im / n := by rw [div_natCast]
@[simp] lemma div_intCast_re (z : ℂ) (n : ℤ) : (z / n).re = z.re / n := by rw [div_intCast]
@[simp] lemma div_intCast_im (z : ℂ) (n : ℤ) : (z / n).im = z.im / n := by rw [div_intCast]
@[simp] lemma div_ratCast_re (z : ℂ) (x : ℚ) : (z / x).re = z.re / x := by rw [div_ratCast]
@[simp] lemma div_ratCast_im (z : ℂ) (x : ℚ) : (z / x).im = z.im / x := by rw [div_ratCast]
@[simp]
lemma div_ofNat_re (z : ℂ) (n : ℕ) [n.AtLeastTwo] :
(z / ofNat(n)).re = z.re / ofNat(n) := div_natCast_re z n
@[simp]
lemma div_ofNat_im (z : ℂ) (n : ℕ) [n.AtLeastTwo] :
(z / ofNat(n)).im = z.im / ofNat(n) := div_natCast_im z n
/-! ### Characteristic zero -/
instance instCharZero : CharZero ℂ :=
charZero_of_inj_zero fun n h => by rwa [← ofReal_natCast, ofReal_eq_zero, Nat.cast_eq_zero] at h
/-- A complex number `z` plus its conjugate `conj z` is `2` times its real part. -/
theorem re_eq_add_conj (z : ℂ) : (z.re : ℂ) = (z + conj z) / 2 := by
simp only [add_conj, ofReal_mul, ofReal_ofNat, mul_div_cancel_left₀ (z.re : ℂ) two_ne_zero]
/-- A complex number `z` minus its conjugate `conj z` is `2i` times its imaginary part. -/
theorem im_eq_sub_conj (z : ℂ) : (z.im : ℂ) = (z - conj z) / (2 * I) := by
simp only [sub_conj, ofReal_mul, ofReal_ofNat, mul_right_comm,
mul_div_cancel_left₀ _ (mul_ne_zero two_ne_zero I_ne_zero : 2 * I ≠ 0)]
/-- Show the imaginary number ⟨x, y⟩ as an "x + y*I" string
Note that the Real numbers used for x and y will show as cauchy sequences due to the way Real
numbers are represented.
-/
unsafe instance instRepr : Repr ℂ where
reprPrec f p :=
(if p > 65 then (Std.Format.bracket "(" · ")") else (·)) <|
reprPrec f.re 65 ++ " + " ++ reprPrec f.im 70 ++ "*I"
section reProdIm
/-- The preimage under `equivRealProd` of `s ×ˢ t` is `s ×ℂ t`. -/
lemma preimage_equivRealProd_prod (s t : Set ℝ) : equivRealProd ⁻¹' (s ×ˢ t) = s ×ℂ t := rfl
/-- The inequality `s × t ⊆ s₁ × t₁` holds in `ℂ` iff it holds in `ℝ × ℝ`. -/
lemma reProdIm_subset_iff {s s₁ t t₁ : Set ℝ} : s ×ℂ t ⊆ s₁ ×ℂ t₁ ↔ s ×ˢ t ⊆ s₁ ×ˢ t₁ := by
rw [← @preimage_equivRealProd_prod s t, ← @preimage_equivRealProd_prod s₁ t₁]
exact Equiv.preimage_subset equivRealProd _ _
/-- If `s ⊆ s₁ ⊆ ℝ` and `t ⊆ t₁ ⊆ ℝ`, then `s × t ⊆ s₁ × t₁` in `ℂ`. -/
lemma reProdIm_subset_iff' {s s₁ t t₁ : Set ℝ} :
s ×ℂ t ⊆ s₁ ×ℂ t₁ ↔ s ⊆ s₁ ∧ t ⊆ t₁ ∨ s = ∅ ∨ t = ∅ := by
convert prod_subset_prod_iff
exact reProdIm_subset_iff
variable {s t : Set ℝ}
@[simp] lemma reProdIm_nonempty : (s ×ℂ t).Nonempty ↔ s.Nonempty ∧ t.Nonempty := by
simp [Set.Nonempty, reProdIm, Complex.exists]
@[simp] lemma reProdIm_eq_empty : s ×ℂ t = ∅ ↔ s = ∅ ∨ t = ∅ := by
simp [← not_nonempty_iff_eq_empty, reProdIm_nonempty, -not_and, not_and_or]
end reProdIm
open scoped Interval
|
section Rectangle
/-- A `Rectangle` is an axis-parallel rectangle with corners `z` and `w`. -/
| Mathlib/Data/Complex/Basic.lean | 802 | 805 |
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yury Kudryashov, David Loeffler
-/
import Mathlib.Analysis.Convex.Slope
import Mathlib.Analysis.Calculus.Deriv.MeanValue
/-!
# Convexity of functions and derivatives
Here we relate convexity of functions `ℝ → ℝ` to properties of their derivatives.
## Main results
* `MonotoneOn.convexOn_of_deriv`, `convexOn_of_deriv2_nonneg` : if the derivative of a function
is increasing or its second derivative is nonnegative, then the original function is convex.
* `ConvexOn.monotoneOn_deriv`: if a function is convex and differentiable, then its derivative is
monotone.
-/
open Metric Set Asymptotics ContinuousLinearMap Filter
open scoped Topology NNReal
/-!
## Monotonicity of `f'` implies convexity of `f`
-/
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, is differentiable on its interior,
and `f'` is monotone on the interior, then `f` is convex on `D`. -/
theorem MonotoneOn.convexOn_of_deriv {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf' : DifferentiableOn ℝ f (interior D))
(hf'_mono : MonotoneOn (deriv f) (interior D)) : ConvexOn ℝ D f :=
convexOn_of_slope_mono_adjacent hD
(by
intro x y z hx hz hxy hyz
-- First we prove some trivial inclusions
have hxzD : Icc x z ⊆ D := hD.ordConnected.out hx hz
have hxyD : Icc x y ⊆ D := (Icc_subset_Icc_right hyz.le).trans hxzD
have hxyD' : Ioo x y ⊆ interior D :=
subset_sUnion_of_mem ⟨isOpen_Ioo, Ioo_subset_Icc_self.trans hxyD⟩
have hyzD : Icc y z ⊆ D := (Icc_subset_Icc_left hxy.le).trans hxzD
have hyzD' : Ioo y z ⊆ interior D :=
subset_sUnion_of_mem ⟨isOpen_Ioo, Ioo_subset_Icc_self.trans hyzD⟩
-- Then we apply MVT to both `[x, y]` and `[y, z]`
obtain ⟨a, ⟨hxa, hay⟩, ha⟩ : ∃ a ∈ Ioo x y, deriv f a = (f y - f x) / (y - x) :=
exists_deriv_eq_slope f hxy (hf.mono hxyD) (hf'.mono hxyD')
obtain ⟨b, ⟨hyb, hbz⟩, hb⟩ : ∃ b ∈ Ioo y z, deriv f b = (f z - f y) / (z - y) :=
exists_deriv_eq_slope f hyz (hf.mono hyzD) (hf'.mono hyzD')
rw [← ha, ← hb]
exact hf'_mono (hxyD' ⟨hxa, hay⟩) (hyzD' ⟨hyb, hbz⟩) (hay.trans hyb).le)
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, is differentiable on its interior,
and `f'` is antitone on the interior, then `f` is concave on `D`. -/
theorem AntitoneOn.concaveOn_of_deriv {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf' : DifferentiableOn ℝ f (interior D))
(h_anti : AntitoneOn (deriv f) (interior D)) : ConcaveOn ℝ D f :=
haveI : MonotoneOn (deriv (-f)) (interior D) := by
simpa only [← deriv.neg] using h_anti.neg
neg_convexOn_iff.mp (this.convexOn_of_deriv hD hf.neg hf'.neg)
theorem StrictMonoOn.exists_slope_lt_deriv_aux {x y : ℝ} {f : ℝ → ℝ} (hf : ContinuousOn f (Icc x y))
(hxy : x < y) (hf'_mono : StrictMonoOn (deriv f) (Ioo x y)) (h : ∀ w ∈ Ioo x y, deriv f w ≠ 0) :
∃ a ∈ Ioo x y, (f y - f x) / (y - x) < deriv f a := by
have A : DifferentiableOn ℝ f (Ioo x y) := fun w wmem =>
(differentiableAt_of_deriv_ne_zero (h w wmem)).differentiableWithinAt
obtain ⟨a, ⟨hxa, hay⟩, ha⟩ : ∃ a ∈ Ioo x y, deriv f a = (f y - f x) / (y - x) :=
exists_deriv_eq_slope f hxy hf A
rcases nonempty_Ioo.2 hay with ⟨b, ⟨hab, hby⟩⟩
refine ⟨b, ⟨hxa.trans hab, hby⟩, ?_⟩
rw [← ha]
exact hf'_mono ⟨hxa, hay⟩ ⟨hxa.trans hab, hby⟩ hab
theorem StrictMonoOn.exists_slope_lt_deriv {x y : ℝ} {f : ℝ → ℝ} (hf : ContinuousOn f (Icc x y))
(hxy : x < y) (hf'_mono : StrictMonoOn (deriv f) (Ioo x y)) :
∃ a ∈ Ioo x y, (f y - f x) / (y - x) < deriv f a := by
by_cases h : ∀ w ∈ Ioo x y, deriv f w ≠ 0
· apply StrictMonoOn.exists_slope_lt_deriv_aux hf hxy hf'_mono h
· push_neg at h
rcases h with ⟨w, ⟨hxw, hwy⟩, hw⟩
obtain ⟨a, ⟨hxa, haw⟩, ha⟩ : ∃ a ∈ Ioo x w, (f w - f x) / (w - x) < deriv f a := by
apply StrictMonoOn.exists_slope_lt_deriv_aux _ hxw _ _
· exact hf.mono (Icc_subset_Icc le_rfl hwy.le)
· exact hf'_mono.mono (Ioo_subset_Ioo le_rfl hwy.le)
· intro z hz
rw [← hw]
apply ne_of_lt
exact hf'_mono ⟨hz.1, hz.2.trans hwy⟩ ⟨hxw, hwy⟩ hz.2
obtain ⟨b, ⟨hwb, hby⟩, hb⟩ : ∃ b ∈ Ioo w y, (f y - f w) / (y - w) < deriv f b := by
apply StrictMonoOn.exists_slope_lt_deriv_aux _ hwy _ _
· refine hf.mono (Icc_subset_Icc hxw.le le_rfl)
· exact hf'_mono.mono (Ioo_subset_Ioo hxw.le le_rfl)
· intro z hz
rw [← hw]
apply ne_of_gt
exact hf'_mono ⟨hxw, hwy⟩ ⟨hxw.trans hz.1, hz.2⟩ hz.1
refine ⟨b, ⟨hxw.trans hwb, hby⟩, ?_⟩
simp only [div_lt_iff₀, hxy, hxw, hwy, sub_pos] at ha hb ⊢
have : deriv f a * (w - x) < deriv f b * (w - x) := by
apply mul_lt_mul _ le_rfl (sub_pos.2 hxw) _
· exact hf'_mono ⟨hxa, haw.trans hwy⟩ ⟨hxw.trans hwb, hby⟩ (haw.trans hwb)
· rw [← hw]
exact (hf'_mono ⟨hxw, hwy⟩ ⟨hxw.trans hwb, hby⟩ hwb).le
linarith
theorem StrictMonoOn.exists_deriv_lt_slope_aux {x y : ℝ} {f : ℝ → ℝ} (hf : ContinuousOn f (Icc x y))
(hxy : x < y) (hf'_mono : StrictMonoOn (deriv f) (Ioo x y)) (h : ∀ w ∈ Ioo x y, deriv f w ≠ 0) :
∃ a ∈ Ioo x y, deriv f a < (f y - f x) / (y - x) := by
have A : DifferentiableOn ℝ f (Ioo x y) := fun w wmem =>
(differentiableAt_of_deriv_ne_zero (h w wmem)).differentiableWithinAt
obtain ⟨a, ⟨hxa, hay⟩, ha⟩ : ∃ a ∈ Ioo x y, deriv f a = (f y - f x) / (y - x) :=
exists_deriv_eq_slope f hxy hf A
rcases nonempty_Ioo.2 hxa with ⟨b, ⟨hxb, hba⟩⟩
refine ⟨b, ⟨hxb, hba.trans hay⟩, ?_⟩
rw [← ha]
exact hf'_mono ⟨hxb, hba.trans hay⟩ ⟨hxa, hay⟩ hba
theorem StrictMonoOn.exists_deriv_lt_slope {x y : ℝ} {f : ℝ → ℝ} (hf : ContinuousOn f (Icc x y))
(hxy : x < y) (hf'_mono : StrictMonoOn (deriv f) (Ioo x y)) :
∃ a ∈ Ioo x y, deriv f a < (f y - f x) / (y - x) := by
by_cases h : ∀ w ∈ Ioo x y, deriv f w ≠ 0
· apply StrictMonoOn.exists_deriv_lt_slope_aux hf hxy hf'_mono h
· push_neg at h
rcases h with ⟨w, ⟨hxw, hwy⟩, hw⟩
obtain ⟨a, ⟨hxa, haw⟩, ha⟩ : ∃ a ∈ Ioo x w, deriv f a < (f w - f x) / (w - x) := by
apply StrictMonoOn.exists_deriv_lt_slope_aux _ hxw _ _
· exact hf.mono (Icc_subset_Icc le_rfl hwy.le)
· exact hf'_mono.mono (Ioo_subset_Ioo le_rfl hwy.le)
· intro z hz
rw [← hw]
apply ne_of_lt
exact hf'_mono ⟨hz.1, hz.2.trans hwy⟩ ⟨hxw, hwy⟩ hz.2
obtain ⟨b, ⟨hwb, hby⟩, hb⟩ : ∃ b ∈ Ioo w y, deriv f b < (f y - f w) / (y - w) := by
apply StrictMonoOn.exists_deriv_lt_slope_aux _ hwy _ _
· refine hf.mono (Icc_subset_Icc hxw.le le_rfl)
· exact hf'_mono.mono (Ioo_subset_Ioo hxw.le le_rfl)
· intro z hz
rw [← hw]
apply ne_of_gt
exact hf'_mono ⟨hxw, hwy⟩ ⟨hxw.trans hz.1, hz.2⟩ hz.1
refine ⟨a, ⟨hxa, haw.trans hwy⟩, ?_⟩
simp only [lt_div_iff₀, hxy, hxw, hwy, sub_pos] at ha hb ⊢
have : deriv f a * (y - w) < deriv f b * (y - w) := by
apply mul_lt_mul _ le_rfl (sub_pos.2 hwy) _
· exact hf'_mono ⟨hxa, haw.trans hwy⟩ ⟨hxw.trans hwb, hby⟩ (haw.trans hwb)
· rw [← hw]
exact (hf'_mono ⟨hxw, hwy⟩ ⟨hxw.trans hwb, hby⟩ hwb).le
linarith
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, and `f'` is strictly monotone on the
interior, then `f` is strictly convex on `D`.
Note that we don't require differentiability, since it is guaranteed at all but at most
one point by the strict monotonicity of `f'`. -/
theorem StrictMonoOn.strictConvexOn_of_deriv {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf' : StrictMonoOn (deriv f) (interior D)) : StrictConvexOn ℝ D f :=
strictConvexOn_of_slope_strict_mono_adjacent hD fun {x y z} hx hz hxy hyz => by
-- First we prove some trivial inclusions
have hxzD : Icc x z ⊆ D := hD.ordConnected.out hx hz
have hxyD : Icc x y ⊆ D := (Icc_subset_Icc_right hyz.le).trans hxzD
have hxyD' : Ioo x y ⊆ interior D :=
subset_sUnion_of_mem ⟨isOpen_Ioo, Ioo_subset_Icc_self.trans hxyD⟩
have hyzD : Icc y z ⊆ D := (Icc_subset_Icc_left hxy.le).trans hxzD
have hyzD' : Ioo y z ⊆ interior D :=
subset_sUnion_of_mem ⟨isOpen_Ioo, Ioo_subset_Icc_self.trans hyzD⟩
-- Then we get points `a` and `b` in each interval `[x, y]` and `[y, z]` where the derivatives
-- can be compared to the slopes between `x, y` and `y, z` respectively.
obtain ⟨a, ⟨hxa, hay⟩, ha⟩ : ∃ a ∈ Ioo x y, (f y - f x) / (y - x) < deriv f a :=
StrictMonoOn.exists_slope_lt_deriv (hf.mono hxyD) hxy (hf'.mono hxyD')
obtain ⟨b, ⟨hyb, hbz⟩, hb⟩ : ∃ b ∈ Ioo y z, deriv f b < (f z - f y) / (z - y) :=
StrictMonoOn.exists_deriv_lt_slope (hf.mono hyzD) hyz (hf'.mono hyzD')
apply ha.trans (lt_trans _ hb)
exact hf' (hxyD' ⟨hxa, hay⟩) (hyzD' ⟨hyb, hbz⟩) (hay.trans hyb)
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ` and `f'` is strictly antitone on the
interior, then `f` is strictly concave on `D`.
Note that we don't require differentiability, since it is guaranteed at all but at most
one point by the strict antitonicity of `f'`. -/
theorem StrictAntiOn.strictConcaveOn_of_deriv {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (h_anti : StrictAntiOn (deriv f) (interior D)) :
StrictConcaveOn ℝ D f :=
have : StrictMonoOn (deriv (-f)) (interior D) := by simpa only [← deriv.neg] using h_anti.neg
neg_neg f ▸ (this.strictConvexOn_of_deriv hD hf.neg).neg
/-- If a function `f` is differentiable and `f'` is monotone on `ℝ` then `f` is convex. -/
theorem Monotone.convexOn_univ_of_deriv {f : ℝ → ℝ} (hf : Differentiable ℝ f)
| (hf'_mono : Monotone (deriv f)) : ConvexOn ℝ univ f :=
(hf'_mono.monotoneOn _).convexOn_of_deriv convex_univ hf.continuous.continuousOn
hf.differentiableOn
/-- If a function `f` is differentiable and `f'` is antitone on `ℝ` then `f` is concave. -/
| Mathlib/Analysis/Convex/Deriv.lean | 186 | 190 |
/-
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, Yury Kudryashov
-/
import Mathlib.Order.Filter.Interval
import Mathlib.Order.Interval.Set.Pi
import Mathlib.Tactic.TFAE
import Mathlib.Tactic.NormNum
import Mathlib.Topology.Order.LeftRight
import Mathlib.Topology.Order.OrderClosed
/-!
# Theory of topology on ordered spaces
## Main definitions
The order topology on an ordered space is the topology generated by all open intervals (or
equivalently by those of the form `(-∞, a)` and `(b, +∞)`). We define it as `Preorder.topology α`.
However, we do *not* register it as an instance (as many existing ordered types already have
topologies, which would be equal but not definitionally equal to `Preorder.topology α`). Instead,
we introduce a class `OrderTopology α` (which is a `Prop`, also known as a mixin) saying that on
the type `α` having already a topological space structure and a preorder structure, the topological
structure is equal to the order topology.
We prove many basic properties of such topologies.
## Main statements
This file contains the proofs of the following facts. For exact requirements
(`OrderClosedTopology` vs `OrderTopology`, `Preorder` vs `PartialOrder` vs `LinearOrder` etc)
see their statements.
* `exists_Ioc_subset_of_mem_nhds`, `exists_Ico_subset_of_mem_nhds` : if `x < y`, then any
neighborhood of `x` includes an interval `[x, z)` for some `z ∈ (x, y]`, and any neighborhood
of `y` includes an interval `(z, y]` for some `z ∈ [x, y)`.
* `tendsto_of_tendsto_of_tendsto_of_le_of_le` : theorem known as squeeze theorem,
sandwich theorem, theorem of Carabinieri, and two policemen (and a drunk) theorem; if `g` and `h`
both converge to `a`, and eventually `g x ≤ f x ≤ h x`, then `f` converges to `a`.
## Implementation notes
We do _not_ register the order topology as an instance on a preorder (or even on a linear order).
Indeed, on many such spaces, a topology has already been constructed in a different way (think
of the discrete spaces `ℕ` or `ℤ`, or `ℝ` that could inherit a topology as the completion of `ℚ`),
and is in general not defeq to the one generated by the intervals. We make it available as a
definition `Preorder.topology α` though, that can be registered as an instance when necessary, or
for specific types.
-/
open Set Filter TopologicalSpace Topology Function
open OrderDual (toDual ofDual)
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
-- TODO: define `Preorder.topology` before `OrderTopology` and reuse the def
/-- The order topology on an ordered type is the topology generated by open intervals. We register
it on a preorder, but it is mostly interesting in linear orders, where it is also order-closed.
We define it as a mixin. If you want to introduce the order topology on a preorder, use
`Preorder.topology`. -/
class OrderTopology (α : Type*) [t : TopologicalSpace α] [Preorder α] : Prop where
/-- The topology is generated by open intervals `Set.Ioi _` and `Set.Iio _`. -/
topology_eq_generate_intervals : t = generateFrom { s | ∃ a, s = Ioi a ∨ s = Iio a }
/-- (Order) topology on a partial order `α` generated by the subbase of open intervals
`(a, ∞) = { x ∣ a < x }, (-∞ , b) = {x ∣ x < b}` for all `a, b` in `α`. We do not register it as an
instance as many ordered sets are already endowed with the same topology, most often in a non-defeq
way though. Register as a local instance when necessary. -/
def Preorder.topology (α : Type*) [Preorder α] : TopologicalSpace α :=
generateFrom { s : Set α | ∃ a : α, s = { b : α | a < b } ∨ s = { b : α | b < a } }
section OrderTopology
section Preorder
variable [TopologicalSpace α] [Preorder α]
instance [t : OrderTopology α] : OrderTopology αᵒᵈ :=
⟨by
convert OrderTopology.topology_eq_generate_intervals (α := α) using 6
apply or_comm⟩
theorem isOpen_iff_generate_intervals [t : OrderTopology α] {s : Set α} :
IsOpen s ↔ GenerateOpen { s | ∃ a, s = Ioi a ∨ s = Iio a } s := by
rw [t.topology_eq_generate_intervals]; rfl
theorem isOpen_lt' [OrderTopology α] (a : α) : IsOpen { b : α | a < b } :=
isOpen_iff_generate_intervals.2 <| .basic _ ⟨a, .inl rfl⟩
theorem isOpen_gt' [OrderTopology α] (a : α) : IsOpen { b : α | b < a } :=
isOpen_iff_generate_intervals.2 <| .basic _ ⟨a, .inr rfl⟩
theorem lt_mem_nhds [OrderTopology α] {a b : α} (h : a < b) : ∀ᶠ x in 𝓝 b, a < x :=
(isOpen_lt' _).mem_nhds h
theorem le_mem_nhds [OrderTopology α] {a b : α} (h : a < b) : ∀ᶠ x in 𝓝 b, a ≤ x :=
(lt_mem_nhds h).mono fun _ => le_of_lt
theorem gt_mem_nhds [OrderTopology α] {a b : α} (h : a < b) : ∀ᶠ x in 𝓝 a, x < b :=
(isOpen_gt' _).mem_nhds h
theorem ge_mem_nhds [OrderTopology α] {a b : α} (h : a < b) : ∀ᶠ x in 𝓝 a, x ≤ b :=
(gt_mem_nhds h).mono fun _ => le_of_lt
theorem nhds_eq_order [OrderTopology α] (a : α) :
𝓝 a = (⨅ b ∈ Iio a, 𝓟 (Ioi b)) ⊓ ⨅ b ∈ Ioi a, 𝓟 (Iio b) := by
rw [OrderTopology.topology_eq_generate_intervals (α := α), nhds_generateFrom]
simp_rw [mem_setOf_eq, @and_comm (a ∈ _), exists_or, or_and_right, iInf_or, iInf_and,
iInf_exists, iInf_inf_eq, iInf_comm (ι := Set α), iInf_iInf_eq_left, mem_Ioi, mem_Iio]
theorem tendsto_order [OrderTopology α] {f : β → α} {a : α} {x : Filter β} :
Tendsto f x (𝓝 a) ↔ (∀ a' < a, ∀ᶠ b in x, a' < f b) ∧ ∀ a' > a, ∀ᶠ b in x, f b < a' := by
simp only [nhds_eq_order a, tendsto_inf, tendsto_iInf, tendsto_principal]; rfl
instance tendstoIccClassNhds [OrderTopology α] (a : α) : TendstoIxxClass Icc (𝓝 a) (𝓝 a) := by
simp only [nhds_eq_order, iInf_subtype']
refine
((hasBasis_iInf_principal_finite _).inf (hasBasis_iInf_principal_finite _)).tendstoIxxClass
fun s _ => ?_
refine ((ordConnected_biInter ?_).inter (ordConnected_biInter ?_)).out <;> intro _ _
exacts [ordConnected_Ioi, ordConnected_Iio]
instance tendstoIcoClassNhds [OrderTopology α] (a : α) : TendstoIxxClass Ico (𝓝 a) (𝓝 a) :=
tendstoIxxClass_of_subset fun _ _ => Ico_subset_Icc_self
instance tendstoIocClassNhds [OrderTopology α] (a : α) : TendstoIxxClass Ioc (𝓝 a) (𝓝 a) :=
tendstoIxxClass_of_subset fun _ _ => Ioc_subset_Icc_self
instance tendstoIooClassNhds [OrderTopology α] (a : α) : TendstoIxxClass Ioo (𝓝 a) (𝓝 a) :=
tendstoIxxClass_of_subset fun _ _ => Ioo_subset_Icc_self
/-- **Squeeze theorem** (also known as **sandwich theorem**). This version assumes that inequalities
hold eventually for the filter. -/
theorem tendsto_of_tendsto_of_tendsto_of_le_of_le' [OrderTopology α] {f g h : β → α} {b : Filter β}
{a : α} (hg : Tendsto g b (𝓝 a)) (hh : Tendsto h b (𝓝 a)) (hgf : ∀ᶠ b in b, g b ≤ f b)
(hfh : ∀ᶠ b in b, f b ≤ h b) : Tendsto f b (𝓝 a) :=
(hg.Icc hh).of_smallSets <| hgf.and hfh
alias Filter.Tendsto.squeeze' := tendsto_of_tendsto_of_tendsto_of_le_of_le'
/-- **Squeeze theorem** (also known as **sandwich theorem**). This version assumes that inequalities
hold everywhere. -/
theorem tendsto_of_tendsto_of_tendsto_of_le_of_le [OrderTopology α] {f g h : β → α} {b : Filter β}
{a : α} (hg : Tendsto g b (𝓝 a)) (hh : Tendsto h b (𝓝 a)) (hgf : g ≤ f) (hfh : f ≤ h) :
Tendsto f b (𝓝 a) :=
tendsto_of_tendsto_of_tendsto_of_le_of_le' hg hh (Eventually.of_forall hgf)
(Eventually.of_forall hfh)
alias Filter.Tendsto.squeeze := tendsto_of_tendsto_of_tendsto_of_le_of_le
theorem nhds_order_unbounded [OrderTopology α] {a : α} (hu : ∃ u, a < u) (hl : ∃ l, l < a) :
𝓝 a = ⨅ (l) (_ : l < a) (u) (_ : a < u), 𝓟 (Ioo l u) := by
simp only [nhds_eq_order, ← inf_biInf, ← biInf_inf, *, ← inf_principal, ← Ioi_inter_Iio]; rfl
theorem tendsto_order_unbounded [OrderTopology α] {f : β → α} {a : α} {x : Filter β}
(hu : ∃ u, a < u) (hl : ∃ l, l < a) (h : ∀ l u, l < a → a < u → ∀ᶠ b in x, l < f b ∧ f b < u) :
Tendsto f x (𝓝 a) := by
simp only [nhds_order_unbounded hu hl, tendsto_iInf, tendsto_principal]
exact fun l hl u => h l u hl
end Preorder
instance tendstoIxxNhdsWithin {α : Type*} [TopologicalSpace α] (a : α) {s t : Set α}
{Ixx} [TendstoIxxClass Ixx (𝓝 a) (𝓝 a)] [TendstoIxxClass Ixx (𝓟 s) (𝓟 t)] :
TendstoIxxClass Ixx (𝓝[s] a) (𝓝[t] a) :=
Filter.tendstoIxxClass_inf
instance tendstoIccClassNhdsPi {ι : Type*} {α : ι → Type*} [∀ i, Preorder (α i)]
[∀ i, TopologicalSpace (α i)] [∀ i, OrderTopology (α i)] (f : ∀ i, α i) :
TendstoIxxClass Icc (𝓝 f) (𝓝 f) := by
constructor
conv in (𝓝 f).smallSets => rw [nhds_pi, Filter.pi]
simp only [smallSets_iInf, smallSets_comap_eq_comap_image, tendsto_iInf, tendsto_comap_iff]
intro i
have : Tendsto (fun g : ∀ i, α i => g i) (𝓝 f) (𝓝 (f i)) := (continuous_apply i).tendsto f
refine (this.comp tendsto_fst).Icc (this.comp tendsto_snd) |>.smallSets_mono ?_
filter_upwards [] using fun ⟨f, g⟩ ↦ image_subset_iff.mpr fun p hp ↦ ⟨hp.1 i, hp.2 i⟩
theorem induced_topology_le_preorder [Preorder α] [Preorder β] [TopologicalSpace β]
[OrderTopology β] {f : α → β} (hf : ∀ {x y}, f x < f y ↔ x < y) :
induced f ‹TopologicalSpace β› ≤ Preorder.topology α := by
let _ := Preorder.topology α; have : OrderTopology α := ⟨rfl⟩
refine le_of_nhds_le_nhds fun x => ?_
simp only [nhds_eq_order, nhds_induced, comap_inf, comap_iInf, comap_principal, Ioi, Iio, ← hf]
refine inf_le_inf (le_iInf₂ fun a ha => ?_) (le_iInf₂ fun a ha => ?_)
exacts [iInf₂_le (f a) ha, iInf₂_le (f a) ha]
theorem induced_topology_eq_preorder [Preorder α] [Preorder β] [TopologicalSpace β]
[OrderTopology β] {f : α → β} (hf : ∀ {x y}, f x < f y ↔ x < y)
(H₁ : ∀ {a b x}, b < f a → ¬(b < f x) → ∃ y, y < a ∧ b ≤ f y)
(H₂ : ∀ {a b x}, f a < b → ¬(f x < b) → ∃ y, a < y ∧ f y ≤ b) :
induced f ‹TopologicalSpace β› = Preorder.topology α := by
let _ := Preorder.topology α; have : OrderTopology α := ⟨rfl⟩
refine le_antisymm (induced_topology_le_preorder hf) ?_
refine le_of_nhds_le_nhds fun a => ?_
simp only [nhds_eq_order, nhds_induced, comap_inf, comap_iInf, comap_principal]
refine inf_le_inf (le_iInf₂ fun b hb => ?_) (le_iInf₂ fun b hb => ?_)
· rcases em (∃ x, ¬(b < f x)) with (⟨x, hx⟩ | hb)
· rcases H₁ hb hx with ⟨y, hya, hyb⟩
exact iInf₂_le_of_le y hya (principal_mono.2 fun z hz => hyb.trans_lt (hf.2 hz))
· push_neg at hb
exact le_principal_iff.2 (univ_mem' hb)
· rcases em (∃ x, ¬(f x < b)) with (⟨x, hx⟩ | hb)
· rcases H₂ hb hx with ⟨y, hya, hyb⟩
exact iInf₂_le_of_le y hya (principal_mono.2 fun z hz => (hf.2 hz).trans_le hyb)
· push_neg at hb
| exact le_principal_iff.2 (univ_mem' hb)
theorem induced_orderTopology' {α : Type u} {β : Type v} [Preorder α] [ta : TopologicalSpace β]
[Preorder β] [OrderTopology β] (f : α → β) (hf : ∀ {x y}, f x < f y ↔ x < y)
(H₁ : ∀ {a x}, x < f a → ∃ b < a, x ≤ f b) (H₂ : ∀ {a x}, f a < x → ∃ b > a, f b ≤ x) :
@OrderTopology _ (induced f ta) _ :=
let _ := induced f ta
⟨induced_topology_eq_preorder hf (fun h _ => H₁ h) (fun h _ => H₂ h)⟩
theorem induced_orderTopology {α : Type u} {β : Type v} [Preorder α] [ta : TopologicalSpace β]
[Preorder β] [OrderTopology β] (f : α → β) (hf : ∀ {x y}, f x < f y ↔ x < y)
(H : ∀ {x y}, x < y → ∃ a, x < f a ∧ f a < y) : @OrderTopology _ (induced f ta) _ :=
induced_orderTopology' f (hf)
(fun xa => let ⟨b, xb, ba⟩ := H xa; ⟨b, hf.1 ba, le_of_lt xb⟩)
fun ax => let ⟨b, ab, bx⟩ := H ax; ⟨b, hf.1 ab, le_of_lt bx⟩
/-- The topology induced by a strictly monotone function with order-connected range is the preorder
topology. -/
nonrec theorem StrictMono.induced_topology_eq_preorder {α β : Type*} [LinearOrder α]
[LinearOrder β] [t : TopologicalSpace β] [OrderTopology β] {f : α → β}
| Mathlib/Topology/Order/Basic.lean | 210 | 229 |
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yury Kudryashov
-/
import Mathlib.Analysis.Calculus.Deriv.AffineMap
import Mathlib.Analysis.Calculus.Deriv.Comp
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Slope
import Mathlib.Analysis.Normed.Group.AddTorsor
import Mathlib.Analysis.Normed.Module.Convex
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Instances.RealVectorSpace
import Mathlib.Topology.LocallyConstant.Basic
/-!
# The mean value inequality and equalities
In this file we prove the following facts:
* `Convex.norm_image_sub_le_of_norm_deriv_le` : if `f` is differentiable on a convex set `s`
and the norm of its derivative is bounded by `C`, then `f` is Lipschitz continuous on `s` with
constant `C`; also a variant in which what is bounded by `C` is the norm of the difference of the
derivative from a fixed linear map. This lemma and its versions are formulated using `RCLike`,
so they work both for real and complex derivatives.
* `image_le_of*`, `image_norm_le_of_*` : several similar lemmas deducing `f x ≤ B x` or
`‖f x‖ ≤ B x` from upper estimates on `f'` or `‖f'‖`, respectively. These lemmas differ by
their assumptions:
* `of_liminf_*` lemmas assume that limit inferior of some ratio is less than `B' x`;
* `of_deriv_right_*`, `of_norm_deriv_right_*` lemmas assume that the right derivative
or its norm is less than `B' x`;
* `of_*_lt_*` lemmas assume a strict inequality whenever `f x = B x` or `‖f x‖ = B x`;
* `of_*_le_*` lemmas assume a non-strict inequality everywhere on `[a, b)`;
* name of a lemma ends with `'` if (1) it assumes that `B` is continuous on `[a, b]`
and has a right derivative at every point of `[a, b)`, and (2) the lemma has
a counterpart assuming that `B` is differentiable everywhere on `ℝ`
* `norm_image_sub_le_*_segment` : if derivative of `f` on `[a, b]` is bounded above
by a constant `C`, then `‖f x - f a‖ ≤ C * ‖x - a‖`; several versions deal with
right derivative and derivative within `[a, b]` (`HasDerivWithinAt` or `derivWithin`).
* `Convex.is_const_of_fderivWithin_eq_zero` : if a function has derivative `0` on a convex set `s`,
then it is a constant on `s`.
* `hasStrictFDerivAt_of_hasFDerivAt_of_continuousAt` : a C^1 function over the reals is
strictly differentiable. (This is a corollary of the mean value inequality.)
-/
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F]
open Metric Set Asymptotics ContinuousLinearMap Filter
open scoped Topology NNReal
/-! ### One-dimensional fencing inequalities -/
/-- General fencing theorem for continuous functions with an estimate on the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `f a ≤ B a`;
* `B` has right derivative `B'` at every point of `[a, b)`;
* for each `x ∈ [a, b)` the right-side limit inferior of `(f z - f x) / (z - x)`
is bounded above by a function `f'`;
* we have `f' x < B' x` whenever `f x = B x`.
Then `f x ≤ B x` everywhere on `[a, b]`. -/
theorem image_le_of_liminf_slope_right_lt_deriv_boundary' {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b))
-- `hf'` actually says `liminf (f z - f x) / (z - x) ≤ f' x`
(hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := by
change Icc a b ⊆ { x | f x ≤ B x }
set s := { x | f x ≤ B x } ∩ Icc a b
have A : ContinuousOn (fun x => (f x, B x)) (Icc a b) := hf.prodMk hB
have : IsClosed s := by
simp only [s, inter_comm]
exact A.preimage_isClosed_of_isClosed isClosed_Icc OrderClosedTopology.isClosed_le'
apply this.Icc_subset_of_forall_exists_gt ha
rintro x ⟨hxB : f x ≤ B x, xab⟩ y hy
rcases hxB.lt_or_eq with hxB | hxB
· -- If `f x < B x`, then all we need is continuity of both sides
refine nonempty_of_mem (inter_mem ?_ (Ioc_mem_nhdsGT hy))
have : ∀ᶠ x in 𝓝[Icc a b] x, f x < B x :=
A x (Ico_subset_Icc_self xab) (IsOpen.mem_nhds (isOpen_lt continuous_fst continuous_snd) hxB)
have : ∀ᶠ x in 𝓝[>] x, f x < B x := nhdsWithin_le_of_mem (Icc_mem_nhdsGT_of_mem xab) this
exact this.mono fun y => le_of_lt
· rcases exists_between (bound x xab hxB) with ⟨r, hfr, hrB⟩
specialize hf' x xab r hfr
have HB : ∀ᶠ z in 𝓝[>] x, r < slope B x z :=
(hasDerivWithinAt_iff_tendsto_slope' <| lt_irrefl x).1 (hB' x xab).Ioi_of_Ici
(Ioi_mem_nhds hrB)
obtain ⟨z, hfz, hzB, hz⟩ : ∃ z, slope f x z < r ∧ r < slope B x z ∧ z ∈ Ioc x y :=
hf'.and_eventually (HB.and (Ioc_mem_nhdsGT hy)) |>.exists
refine ⟨z, ?_, hz⟩
have := (hfz.trans hzB).le
rwa [slope_def_field, slope_def_field, div_le_div_iff_of_pos_right (sub_pos.2 hz.1), hxB,
sub_le_sub_iff_right] at this
/-- General fencing theorem for continuous functions with an estimate on the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `f a ≤ B a`;
* `B` has derivative `B'` everywhere on `ℝ`;
* for each `x ∈ [a, b)` the right-side limit inferior of `(f z - f x) / (z - x)`
is bounded above by a function `f'`;
* we have `f' x < B' x` whenever `f x = B x`.
Then `f x ≤ B x` everywhere on `[a, b]`. -/
theorem image_le_of_liminf_slope_right_lt_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b))
-- `hf'` actually says `liminf (f z - f x) / (z - x) ≤ f' x`
(hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x)
(bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x :=
image_le_of_liminf_slope_right_lt_deriv_boundary' hf hf' ha
(fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound
/-- General fencing theorem for continuous functions with an estimate on the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `f a ≤ B a`;
* `B` has right derivative `B'` at every point of `[a, b)`;
* for each `x ∈ [a, b)` the right-side limit inferior of `(f z - f x) / (z - x)`
is bounded above by `B'`.
Then `f x ≤ B x` everywhere on `[a, b]`. -/
theorem image_le_of_liminf_slope_right_le_deriv_boundary {f : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b)) {B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
-- `bound` actually says `liminf (f z - f x) / (z - x) ≤ B' x`
(bound : ∀ x ∈ Ico a b, ∀ r, B' x < r → ∃ᶠ z in 𝓝[>] x, slope f x z < r) :
∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x := by
have Hr : ∀ x ∈ Icc a b, ∀ r > 0, f x ≤ B x + r * (x - a) := fun x hx r hr => by
apply image_le_of_liminf_slope_right_lt_deriv_boundary' hf bound
· rwa [sub_self, mul_zero, add_zero]
· exact hB.add (continuousOn_const.mul (continuousOn_id.sub continuousOn_const))
· intro x hx
exact (hB' x hx).add (((hasDerivWithinAt_id x (Ici x)).sub_const a).const_mul r)
· intro x _ _
rw [mul_one]
exact (lt_add_iff_pos_right _).2 hr
exact hx
intro x hx
have : ContinuousWithinAt (fun r => B x + r * (x - a)) (Ioi 0) 0 :=
continuousWithinAt_const.add (continuousWithinAt_id.mul continuousWithinAt_const)
convert continuousWithinAt_const.closure_le _ this (Hr x hx) using 1 <;> simp
/-- General fencing theorem for continuous functions with an estimate on the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `f a ≤ B a`;
* `B` has right derivative `B'` at every point of `[a, b)`;
* `f` has right derivative `f'` at every point of `[a, b)`;
* we have `f' x < B' x` whenever `f x = B x`.
Then `f x ≤ B x` everywhere on `[a, b]`. -/
theorem image_le_of_deriv_right_lt_deriv_boundary' {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x :=
image_le_of_liminf_slope_right_lt_deriv_boundary' hf
(fun x hx _ hr => (hf' x hx).liminf_right_slope_le hr) ha hB hB' bound
/-- General fencing theorem for continuous functions with an estimate on the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `f a ≤ B a`;
* `B` has derivative `B'` everywhere on `ℝ`;
* `f` has right derivative `f'` at every point of `[a, b)`;
* we have `f' x < B' x` whenever `f x = B x`.
Then `f x ≤ B x` everywhere on `[a, b]`. -/
theorem image_le_of_deriv_right_lt_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x)
(bound : ∀ x ∈ Ico a b, f x = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x :=
image_le_of_deriv_right_lt_deriv_boundary' hf hf' ha
(fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound
/-- General fencing theorem for continuous functions with an estimate on the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `f a ≤ B a`;
* `B` has derivative `B'` everywhere on `ℝ`;
* `f` has right derivative `f'` at every point of `[a, b)`;
* we have `f' x ≤ B' x` on `[a, b)`.
Then `f x ≤ B x` everywhere on `[a, b]`. -/
theorem image_le_of_deriv_right_le_deriv_boundary {f f' : ℝ → ℝ} {a b : ℝ}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : f a ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, f' x ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → f x ≤ B x :=
image_le_of_liminf_slope_right_le_deriv_boundary hf ha hB hB' fun x hx _ hr =>
(hf' x hx).liminf_right_slope_le (lt_of_le_of_lt (bound x hx) hr)
/-! ### Vector-valued functions `f : ℝ → E` -/
section
variable {f : ℝ → E} {a b : ℝ}
/-- General fencing theorem for continuous functions with an estimate on the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `‖f a‖ ≤ B a`;
* `B` has right derivative at every point of `[a, b)`;
* for each `x ∈ [a, b)` the right-side limit inferior of `(‖f z‖ - ‖f x‖) / (z - x)`
is bounded above by a function `f'`;
* we have `f' x < B' x` whenever `‖f x‖ = B x`.
Then `‖f x‖ ≤ B x` everywhere on `[a, b]`. -/
theorem image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary {E : Type*}
[NormedAddCommGroup E] {f : ℝ → E} {f' : ℝ → ℝ} (hf : ContinuousOn f (Icc a b))
-- `hf'` actually says `liminf (‖f z‖ - ‖f x‖) / (z - x) ≤ f' x`
(hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, slope (norm ∘ f) x z < r)
{B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → f' x < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x :=
image_le_of_liminf_slope_right_lt_deriv_boundary' (continuous_norm.comp_continuousOn hf) hf' ha hB
hB' bound
/-- General fencing theorem for continuous functions with an estimate on the norm of the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `‖f a‖ ≤ B a`;
* `f` and `B` have right derivatives `f'` and `B'` respectively at every point of `[a, b)`;
* the norm of `f'` is strictly less than `B'` whenever `‖f x‖ = B x`.
Then `‖f x‖ ≤ B x` everywhere on `[a, b]`. We use one-sided derivatives in the assumptions
to make this theorem work for piecewise differentiable functions.
-/
theorem image_norm_le_of_norm_deriv_right_lt_deriv_boundary' {f' : ℝ → E}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → ‖f' x‖ < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x :=
image_norm_le_of_liminf_right_slope_norm_lt_deriv_boundary hf
(fun x hx _ hr => (hf' x hx).liminf_right_slope_norm_le hr) ha hB hB' bound
/-- General fencing theorem for continuous functions with an estimate on the norm of the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `‖f a‖ ≤ B a`;
* `f` has right derivative `f'` at every point of `[a, b)`;
* `B` has derivative `B'` everywhere on `ℝ`;
* the norm of `f'` is strictly less than `B'` whenever `‖f x‖ = B x`.
Then `‖f x‖ ≤ B x` everywhere on `[a, b]`. We use one-sided derivatives in the assumptions
to make this theorem work for piecewise differentiable functions.
-/
theorem image_norm_le_of_norm_deriv_right_lt_deriv_boundary {f' : ℝ → E}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x)
(bound : ∀ x ∈ Ico a b, ‖f x‖ = B x → ‖f' x‖ < B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x :=
image_norm_le_of_norm_deriv_right_lt_deriv_boundary' hf hf' ha
(fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound
/-- General fencing theorem for continuous functions with an estimate on the norm of the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `‖f a‖ ≤ B a`;
* `f` and `B` have right derivatives `f'` and `B'` respectively at every point of `[a, b)`;
* we have `‖f' x‖ ≤ B x` everywhere on `[a, b)`.
Then `‖f x‖ ≤ B x` everywhere on `[a, b]`. We use one-sided derivatives in the assumptions
to make this theorem work for piecewise differentiable functions.
-/
theorem image_norm_le_of_norm_deriv_right_le_deriv_boundary' {f' : ℝ → E}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ContinuousOn B (Icc a b))
(hB' : ∀ x ∈ Ico a b, HasDerivWithinAt B (B' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x :=
image_le_of_liminf_slope_right_le_deriv_boundary (continuous_norm.comp_continuousOn hf) ha hB hB'
fun x hx _ hr => (hf' x hx).liminf_right_slope_norm_le ((bound x hx).trans_lt hr)
/-- General fencing theorem for continuous functions with an estimate on the norm of the derivative.
Let `f` and `B` be continuous functions on `[a, b]` such that
* `‖f a‖ ≤ B a`;
* `f` has right derivative `f'` at every point of `[a, b)`;
* `B` has derivative `B'` everywhere on `ℝ`;
* we have `‖f' x‖ ≤ B x` everywhere on `[a, b)`.
Then `‖f x‖ ≤ B x` everywhere on `[a, b]`. We use one-sided derivatives in the assumptions
to make this theorem work for piecewise differentiable functions.
-/
theorem image_norm_le_of_norm_deriv_right_le_deriv_boundary {f' : ℝ → E}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
{B B' : ℝ → ℝ} (ha : ‖f a‖ ≤ B a) (hB : ∀ x, HasDerivAt B (B' x) x)
(bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ B' x) : ∀ ⦃x⦄, x ∈ Icc a b → ‖f x‖ ≤ B x :=
image_norm_le_of_norm_deriv_right_le_deriv_boundary' hf hf' ha
(fun x _ => (hB x).continuousAt.continuousWithinAt) (fun x _ => (hB x).hasDerivWithinAt) bound
/-- A function on `[a, b]` with the norm of the right derivative bounded by `C`
satisfies `‖f x - f a‖ ≤ C * (x - a)`. -/
theorem norm_image_sub_le_of_norm_deriv_right_le_segment {f' : ℝ → E} {C : ℝ}
(hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
(bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ C) : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by
let g x := f x - f a
have hg : ContinuousOn g (Icc a b) := hf.sub continuousOn_const
have hg' : ∀ x ∈ Ico a b, HasDerivWithinAt g (f' x) (Ici x) x := by
intro x hx
simp [g, hf' x hx]
let B x := C * (x - a)
have hB : ∀ x, HasDerivAt B C x := by
intro x
simpa using (hasDerivAt_const x C).mul ((hasDerivAt_id x).sub (hasDerivAt_const x a))
convert image_norm_le_of_norm_deriv_right_le_deriv_boundary hg hg' _ hB bound
simp only [g, B]; rw [sub_self, norm_zero, sub_self, mul_zero]
/-- A function on `[a, b]` with the norm of the derivative within `[a, b]`
bounded by `C` satisfies `‖f x - f a‖ ≤ C * (x - a)`, `HasDerivWithinAt`
version. -/
theorem norm_image_sub_le_of_norm_deriv_le_segment' {f' : ℝ → E} {C : ℝ}
(hf : ∀ x ∈ Icc a b, HasDerivWithinAt f (f' x) (Icc a b) x)
(bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ C) : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by
refine
norm_image_sub_le_of_norm_deriv_right_le_segment (fun x hx => (hf x hx).continuousWithinAt)
(fun x hx => ?_) bound
exact (hf x <| Ico_subset_Icc_self hx).mono_of_mem_nhdsWithin (Icc_mem_nhdsGE_of_mem hx)
/-- A function on `[a, b]` with the norm of the derivative within `[a, b]`
bounded by `C` satisfies `‖f x - f a‖ ≤ C * (x - a)`, `derivWithin`
version. -/
theorem norm_image_sub_le_of_norm_deriv_le_segment {C : ℝ} (hf : DifferentiableOn ℝ f (Icc a b))
(bound : ∀ x ∈ Ico a b, ‖derivWithin f (Icc a b) x‖ ≤ C) :
∀ x ∈ Icc a b, ‖f x - f a‖ ≤ C * (x - a) := by
refine norm_image_sub_le_of_norm_deriv_le_segment' ?_ bound
exact fun x hx => (hf x hx).hasDerivWithinAt
/-- A function on `[0, 1]` with the norm of the derivative within `[0, 1]`
bounded by `C` satisfies `‖f 1 - f 0‖ ≤ C`, `HasDerivWithinAt`
version. -/
theorem norm_image_sub_le_of_norm_deriv_le_segment_01' {f' : ℝ → E} {C : ℝ}
(hf : ∀ x ∈ Icc (0 : ℝ) 1, HasDerivWithinAt f (f' x) (Icc (0 : ℝ) 1) x)
(bound : ∀ x ∈ Ico (0 : ℝ) 1, ‖f' x‖ ≤ C) : ‖f 1 - f 0‖ ≤ C := by
simpa only [sub_zero, mul_one] using
norm_image_sub_le_of_norm_deriv_le_segment' hf bound 1 (right_mem_Icc.2 zero_le_one)
/-- A function on `[0, 1]` with the norm of the derivative within `[0, 1]`
bounded by `C` satisfies `‖f 1 - f 0‖ ≤ C`, `derivWithin` version. -/
theorem norm_image_sub_le_of_norm_deriv_le_segment_01 {C : ℝ}
(hf : DifferentiableOn ℝ f (Icc (0 : ℝ) 1))
(bound : ∀ x ∈ Ico (0 : ℝ) 1, ‖derivWithin f (Icc (0 : ℝ) 1) x‖ ≤ C) : ‖f 1 - f 0‖ ≤ C := by
simpa only [sub_zero, mul_one] using
norm_image_sub_le_of_norm_deriv_le_segment hf bound 1 (right_mem_Icc.2 zero_le_one)
theorem constant_of_has_deriv_right_zero (hcont : ContinuousOn f (Icc a b))
(hderiv : ∀ x ∈ Ico a b, HasDerivWithinAt f 0 (Ici x) x) : ∀ x ∈ Icc a b, f x = f a := by
have : ∀ x ∈ Icc a b, ‖f x - f a‖ ≤ 0 * (x - a) := fun x hx =>
norm_image_sub_le_of_norm_deriv_right_le_segment hcont hderiv (fun _ _ => norm_zero.le) x hx
simpa only [zero_mul, norm_le_zero_iff, sub_eq_zero] using this
theorem constant_of_derivWithin_zero (hdiff : DifferentiableOn ℝ f (Icc a b))
(hderiv : ∀ x ∈ Ico a b, derivWithin f (Icc a b) x = 0) : ∀ x ∈ Icc a b, f x = f a := by
have H : ∀ x ∈ Ico a b, ‖derivWithin f (Icc a b) x‖ ≤ 0 := by
simpa only [norm_le_zero_iff] using fun x hx => hderiv x hx
simpa only [zero_mul, norm_le_zero_iff, sub_eq_zero] using fun x hx =>
norm_image_sub_le_of_norm_deriv_le_segment hdiff H x hx
variable {f' g : ℝ → E}
/-- If two continuous functions on `[a, b]` have the same right derivative and are equal at `a`,
then they are equal everywhere on `[a, b]`. -/
theorem eq_of_has_deriv_right_eq (derivf : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x)
(derivg : ∀ x ∈ Ico a b, HasDerivWithinAt g (f' x) (Ici x) x) (fcont : ContinuousOn f (Icc a b))
(gcont : ContinuousOn g (Icc a b)) (hi : f a = g a) : ∀ y ∈ Icc a b, f y = g y := by
simp only [← @sub_eq_zero _ _ (f _)] at hi ⊢
exact hi ▸ constant_of_has_deriv_right_zero (fcont.sub gcont) fun y hy => by
simpa only [sub_self] using (derivf y hy).sub (derivg y hy)
/-- If two differentiable functions on `[a, b]` have the same derivative within `[a, b]` everywhere
on `[a, b)` and are equal at `a`, then they are equal everywhere on `[a, b]`. -/
theorem eq_of_derivWithin_eq (fdiff : DifferentiableOn ℝ f (Icc a b))
(gdiff : DifferentiableOn ℝ g (Icc a b))
(hderiv : EqOn (derivWithin f (Icc a b)) (derivWithin g (Icc a b)) (Ico a b)) (hi : f a = g a) :
∀ y ∈ Icc a b, f y = g y := by
| have A : ∀ y ∈ Ico a b, HasDerivWithinAt f (derivWithin f (Icc a b) y) (Ici y) y := fun y hy =>
(fdiff y (mem_Icc_of_Ico hy)).hasDerivWithinAt.mono_of_mem_nhdsWithin
(Icc_mem_nhdsGE_of_mem hy)
have B : ∀ y ∈ Ico a b, HasDerivWithinAt g (derivWithin g (Icc a b) y) (Ici y) y := fun y hy =>
(gdiff y (mem_Icc_of_Ico hy)).hasDerivWithinAt.mono_of_mem_nhdsWithin
| Mathlib/Analysis/Calculus/MeanValue.lean | 387 | 391 |
/-
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.Algebra.Homology.Linear
import Mathlib.Algebra.Homology.ShortComplex.HomologicalComplex
import Mathlib.Tactic.Abel
/-!
# Chain homotopies
We define chain homotopies, and prove that homotopic chain maps induce the same map on homology.
-/
universe v u
noncomputable section
open CategoryTheory Category Limits HomologicalComplex
variable {ι : Type*}
variable {V : Type u} [Category.{v} V] [Preadditive V]
variable {c : ComplexShape ι} {C D E : HomologicalComplex V c}
variable (f g : C ⟶ D) (h k : D ⟶ E) (i : ι)
section
/-- The composition of `C.d i (c.next i) ≫ f (c.next i) i`. -/
def dNext (i : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X i ⟶ D.X i) :=
AddMonoidHom.mk' (fun f => C.d i (c.next i) ≫ f (c.next i) i) fun _ _ =>
Preadditive.comp_add _ _ _ _ _ _
/-- `f (c.next i) i`. -/
def fromNext (i : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.xNext i ⟶ D.X i) :=
AddMonoidHom.mk' (fun f => f (c.next i) i) fun _ _ => rfl
@[simp]
theorem dNext_eq_dFrom_fromNext (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) :
dNext i f = C.dFrom i ≫ fromNext i f :=
rfl
theorem dNext_eq (f : ∀ i j, C.X i ⟶ D.X j) {i i' : ι} (w : c.Rel i i') :
dNext i f = C.d i i' ≫ f i' i := by
obtain rfl := c.next_eq' w
rfl
lemma dNext_eq_zero (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) (hi : ¬ c.Rel i (c.next i)) :
dNext i f = 0 := by
dsimp [dNext]
rw [shape _ _ _ hi, zero_comp]
-- This is not a simp lemma; the LHS already simplifies.
theorem dNext_comp_left (f : C ⟶ D) (g : ∀ i j, D.X i ⟶ E.X j) (i : ι) :
(dNext i fun i j => f.f i ≫ g i j) = f.f i ≫ dNext i g :=
(f.comm_assoc _ _ _).symm
-- This is not a simp lemma; the LHS already simplifies.
theorem dNext_comp_right (f : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) (i : ι) :
(dNext i fun i j => f i j ≫ g.f j) = dNext i f ≫ g.f i :=
(assoc _ _ _).symm
/-- The composition `f j (c.prev j) ≫ D.d (c.prev j) j`. -/
def prevD (j : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X j ⟶ D.X j) :=
AddMonoidHom.mk' (fun f => f j (c.prev j) ≫ D.d (c.prev j) j) fun _ _ =>
Preadditive.add_comp _ _ _ _ _ _
lemma prevD_eq_zero (f : ∀ i j, C.X i ⟶ D.X j) (i : ι) (hi : ¬ c.Rel (c.prev i) i) :
prevD i f = 0 := by
dsimp [prevD]
rw [shape _ _ _ hi, comp_zero]
/-- `f j (c.prev j)`. -/
def toPrev (j : ι) : (∀ i j, C.X i ⟶ D.X j) →+ (C.X j ⟶ D.xPrev j) :=
AddMonoidHom.mk' (fun f => f j (c.prev j)) fun _ _ => rfl
@[simp]
theorem prevD_eq_toPrev_dTo (f : ∀ i j, C.X i ⟶ D.X j) (j : ι) :
prevD j f = toPrev j f ≫ D.dTo j :=
rfl
theorem prevD_eq (f : ∀ i j, C.X i ⟶ D.X j) {j j' : ι} (w : c.Rel j' j) :
prevD j f = f j j' ≫ D.d j' j := by
obtain rfl := c.prev_eq' w
rfl
-- This is not a simp lemma; the LHS already simplifies.
theorem prevD_comp_left (f : C ⟶ D) (g : ∀ i j, D.X i ⟶ E.X j) (j : ι) :
(prevD j fun i j => f.f i ≫ g i j) = f.f j ≫ prevD j g :=
assoc _ _ _
-- This is not a simp lemma; the LHS already simplifies.
theorem prevD_comp_right (f : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) (j : ι) :
(prevD j fun i j => f i j ≫ g.f j) = prevD j f ≫ g.f j := by
dsimp [prevD]
simp only [assoc, g.comm]
theorem dNext_nat (C D : ChainComplex V ℕ) (i : ℕ) (f : ∀ i j, C.X i ⟶ D.X j) :
dNext i f = C.d i (i - 1) ≫ f (i - 1) i := by
dsimp [dNext]
cases i
· simp only [shape, ChainComplex.next_nat_zero, ComplexShape.down_Rel, Nat.one_ne_zero,
not_false_iff, zero_comp, reduceCtorEq]
· congr <;> simp
theorem prevD_nat (C D : CochainComplex V ℕ) (i : ℕ) (f : ∀ i j, C.X i ⟶ D.X j) :
prevD i f = f i (i - 1) ≫ D.d (i - 1) i := by
dsimp [prevD]
cases i
· simp only [shape, CochainComplex.prev_nat_zero, ComplexShape.up_Rel, Nat.one_ne_zero,
not_false_iff, comp_zero, reduceCtorEq]
· congr <;> simp
/-- A homotopy `h` between chain maps `f` and `g` consists of components `h i j : C.X i ⟶ D.X j`
which are zero unless `c.Rel j i`, satisfying the homotopy condition.
-/
@[ext]
structure Homotopy (f g : C ⟶ D) where
hom : ∀ i j, C.X i ⟶ D.X j
zero : ∀ i j, ¬c.Rel j i → hom i j = 0 := by aesop_cat
comm : ∀ i, f.f i = dNext i hom + prevD i hom + g.f i := by aesop_cat
variable {f g}
namespace Homotopy
/-- `f` is homotopic to `g` iff `f - g` is homotopic to `0`.
-/
def equivSubZero : Homotopy f g ≃ Homotopy (f - g) 0 where
toFun h :=
{ hom := fun i j => h.hom i j
zero := fun _ _ w => h.zero _ _ w
comm := fun i => by simp [h.comm] }
invFun h :=
{ hom := fun i j => h.hom i j
zero := fun _ _ w => h.zero _ _ w
comm := fun i => by simpa [sub_eq_iff_eq_add] using h.comm i }
left_inv := by aesop_cat
right_inv := by aesop_cat
/-- Equal chain maps are homotopic. -/
@[simps]
def ofEq (h : f = g) : Homotopy f g where
hom := 0
zero _ _ _ := rfl
/-- Every chain map is homotopic to itself. -/
@[simps!, refl]
def refl (f : C ⟶ D) : Homotopy f f :=
ofEq (rfl : f = f)
/-- `f` is homotopic to `g` iff `g` is homotopic to `f`. -/
@[simps!, symm]
def symm {f g : C ⟶ D} (h : Homotopy f g) : Homotopy g f where
hom := -h.hom
zero i j w := by rw [Pi.neg_apply, Pi.neg_apply, h.zero i j w, neg_zero]
comm i := by
rw [AddMonoidHom.map_neg, AddMonoidHom.map_neg, h.comm, ← neg_add, ← add_assoc, neg_add_cancel,
zero_add]
/-- homotopy is a transitive relation. -/
@[simps!, trans]
def trans {e f g : C ⟶ D} (h : Homotopy e f) (k : Homotopy f g) : Homotopy e g where
hom := h.hom + k.hom
zero i j w := by rw [Pi.add_apply, Pi.add_apply, h.zero i j w, k.zero i j w, zero_add]
comm i := by
rw [AddMonoidHom.map_add, AddMonoidHom.map_add, h.comm, k.comm]
abel
/-- the sum of two homotopies is a homotopy between the sum of the respective morphisms. -/
@[simps!]
def add {f₁ g₁ f₂ g₂ : C ⟶ D} (h₁ : Homotopy f₁ g₁) (h₂ : Homotopy f₂ g₂) :
Homotopy (f₁ + f₂) (g₁ + g₂) where
hom := h₁.hom + h₂.hom
zero i j hij := by rw [Pi.add_apply, Pi.add_apply, h₁.zero i j hij, h₂.zero i j hij, add_zero]
comm i := by
simp only [HomologicalComplex.add_f_apply, h₁.comm, h₂.comm, AddMonoidHom.map_add]
abel
/-- the scalar multiplication of an homotopy -/
@[simps!]
def smul {R : Type*} [Semiring R] [Linear R V] (h : Homotopy f g) (a : R) :
Homotopy (a • f) (a • g) where
hom i j := a • h.hom i j
zero i j hij := by
rw [h.zero i j hij, smul_zero]
comm i := by
dsimp
rw [h.comm]
dsimp [fromNext, toPrev]
simp only [smul_add, Linear.comp_smul, Linear.smul_comp]
/-- homotopy is closed under composition (on the right) -/
@[simps]
def compRight {e f : C ⟶ D} (h : Homotopy e f) (g : D ⟶ E) : Homotopy (e ≫ g) (f ≫ g) where
hom i j := h.hom i j ≫ g.f j
zero i j w := by rw [h.zero i j w, zero_comp]
comm i := by rw [comp_f, h.comm i, dNext_comp_right, prevD_comp_right, Preadditive.add_comp,
comp_f, Preadditive.add_comp]
/-- homotopy is closed under composition (on the left) -/
@[simps]
def compLeft {f g : D ⟶ E} (h : Homotopy f g) (e : C ⟶ D) : Homotopy (e ≫ f) (e ≫ g) where
hom i j := e.f i ≫ h.hom i j
zero i j w := by rw [h.zero i j w, comp_zero]
comm i := by rw [comp_f, h.comm i, dNext_comp_left, prevD_comp_left, comp_f,
Preadditive.comp_add, Preadditive.comp_add]
/-- homotopy is closed under composition -/
@[simps!]
def comp {C₁ C₂ C₃ : HomologicalComplex V c} {f₁ g₁ : C₁ ⟶ C₂} {f₂ g₂ : C₂ ⟶ C₃}
(h₁ : Homotopy f₁ g₁) (h₂ : Homotopy f₂ g₂) : Homotopy (f₁ ≫ f₂) (g₁ ≫ g₂) :=
(h₁.compRight _).trans (h₂.compLeft _)
/-- a variant of `Homotopy.compRight` useful for dealing with homotopy equivalences. -/
@[simps!]
def compRightId {f : C ⟶ C} (h : Homotopy f (𝟙 C)) (g : C ⟶ D) : Homotopy (f ≫ g) g :=
(h.compRight g).trans (ofEq <| id_comp _)
/-- a variant of `Homotopy.compLeft` useful for dealing with homotopy equivalences. -/
@[simps!]
def compLeftId {f : D ⟶ D} (h : Homotopy f (𝟙 D)) (g : C ⟶ D) : Homotopy (g ≫ f) g :=
(h.compLeft g).trans (ofEq <| comp_id _)
/-!
Null homotopic maps can be constructed using the formula `hd+dh`. We show that
these morphisms are homotopic to `0` and provide some convenient simplification
lemmas that give a degreewise description of `hd+dh`, depending on whether we have
two differentials going to and from a certain degree, only one, or none.
-/
/-- The null homotopic map associated to a family `hom` of morphisms `C_i ⟶ D_j`.
This is the same datum as for the field `hom` in the structure `Homotopy`. For
this definition, we do not need the field `zero` of that structure
as this definition uses only the maps `C_i ⟶ C_j` when `c.Rel j i`. -/
def nullHomotopicMap (hom : ∀ i j, C.X i ⟶ D.X j) : C ⟶ D where
f i := dNext i hom + prevD i hom
comm' i j hij := by
have eq1 : prevD i hom ≫ D.d i j = 0 := by
simp only [prevD, AddMonoidHom.mk'_apply, assoc, d_comp_d, comp_zero]
have eq2 : C.d i j ≫ dNext j hom = 0 := by
simp only [dNext, AddMonoidHom.mk'_apply, d_comp_d_assoc, zero_comp]
rw [dNext_eq hom hij, prevD_eq hom hij, Preadditive.comp_add, Preadditive.add_comp, eq1, eq2,
add_zero, zero_add, assoc]
open Classical in
/-- Variant of `nullHomotopicMap` where the input consists only of the
relevant maps `C_i ⟶ D_j` such that `c.Rel j i`. -/
def nullHomotopicMap' (h : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) : C ⟶ D :=
nullHomotopicMap fun i j => dite (c.Rel j i) (h i j) fun _ => 0
/-- Compatibility of `nullHomotopicMap` with the postcomposition by a morphism
of complexes. -/
theorem nullHomotopicMap_comp (hom : ∀ i j, C.X i ⟶ D.X j) (g : D ⟶ E) :
nullHomotopicMap hom ≫ g = nullHomotopicMap fun i j => hom i j ≫ g.f j := by
ext n
dsimp [nullHomotopicMap, fromNext, toPrev, AddMonoidHom.mk'_apply]
simp only [Preadditive.add_comp, assoc, g.comm]
/-- Compatibility of `nullHomotopicMap'` with the postcomposition by a morphism
of complexes. -/
theorem nullHomotopicMap'_comp (hom : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) (g : D ⟶ E) :
nullHomotopicMap' hom ≫ g = nullHomotopicMap' fun i j hij => hom i j hij ≫ g.f j := by
ext n
rw [nullHomotopicMap', nullHomotopicMap_comp]
congr
ext i j
split_ifs
· rfl
· rw [zero_comp]
/-- Compatibility of `nullHomotopicMap` with the precomposition by a morphism
of complexes. -/
theorem comp_nullHomotopicMap (f : C ⟶ D) (hom : ∀ i j, D.X i ⟶ E.X j) :
f ≫ nullHomotopicMap hom = nullHomotopicMap fun i j => f.f i ≫ hom i j := by
ext n
dsimp [nullHomotopicMap, fromNext, toPrev, AddMonoidHom.mk'_apply]
simp only [Preadditive.comp_add, assoc, f.comm_assoc]
/-- Compatibility of `nullHomotopicMap'` with the precomposition by a morphism
of complexes. -/
theorem comp_nullHomotopicMap' (f : C ⟶ D) (hom : ∀ i j, c.Rel j i → (D.X i ⟶ E.X j)) :
f ≫ nullHomotopicMap' hom = nullHomotopicMap' fun i j hij => f.f i ≫ hom i j hij := by
ext n
rw [nullHomotopicMap', comp_nullHomotopicMap]
congr
ext i j
split_ifs
· rfl
· rw [comp_zero]
/-- Compatibility of `nullHomotopicMap` with the application of additive functors -/
theorem map_nullHomotopicMap {W : Type*} [Category W] [Preadditive W] (G : V ⥤ W) [G.Additive]
(hom : ∀ i j, C.X i ⟶ D.X j) :
(G.mapHomologicalComplex c).map (nullHomotopicMap hom) =
nullHomotopicMap (fun i j => by exact G.map (hom i j)) := by
ext i
dsimp [nullHomotopicMap, dNext, prevD]
simp only [G.map_comp, Functor.map_add]
/-- Compatibility of `nullHomotopicMap'` with the application of additive functors -/
theorem map_nullHomotopicMap' {W : Type*} [Category W] [Preadditive W] (G : V ⥤ W) [G.Additive]
(hom : ∀ i j, c.Rel j i → (C.X i ⟶ D.X j)) :
(G.mapHomologicalComplex c).map (nullHomotopicMap' hom) =
nullHomotopicMap' fun i j hij => by exact G.map (hom i j hij) := by
ext n
rw [nullHomotopicMap', map_nullHomotopicMap]
congr
ext i j
| split_ifs
· rfl
· rw [G.map_zero]
/-- Tautological construction of the `Homotopy` to zero for maps constructed by
| Mathlib/Algebra/Homology/Homotopy.lean | 312 | 316 |
/-
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.Logic.Equiv.PartialEquiv
import Mathlib.Topology.Homeomorph.Lemmas
import Mathlib.Topology.Sets.Opens
/-!
# Partial homeomorphisms
This file defines homeomorphisms between open subsets of topological spaces. An element `e` of
`PartialHomeomorph X Y` is an extension of `PartialEquiv X Y`, i.e., it is a pair of functions
`e.toFun` and `e.invFun`, inverse of each other on the sets `e.source` and `e.target`.
Additionally, we require that these sets are open, and that the functions are continuous on them.
Equivalently, they are homeomorphisms there.
As in equivs, we register a coercion to functions, and we use `e x` and `e.symm x` throughout
instead of `e.toFun x` and `e.invFun x`.
## Main definitions
* `Homeomorph.toPartialHomeomorph`: associating a partial homeomorphism to a homeomorphism, with
`source = target = Set.univ`;
* `PartialHomeomorph.symm`: the inverse of a partial homeomorphism
* `PartialHomeomorph.trans`: the composition of two partial homeomorphisms
* `PartialHomeomorph.refl`: the identity partial homeomorphism
* `PartialHomeomorph.const`: a partial homeomorphism which is a constant map,
whose source and target are necessarily singleton sets
* `PartialHomeomorph.ofSet`: the identity on a set `s`
* `PartialHomeomorph.restr s`: restrict a partial homeomorphism `e` to `e.source ∩ interior s`
* `PartialHomeomorph.EqOnSource`: equivalence relation describing the "right" notion of equality
for partial homeomorphisms
* `PartialHomeomorph.prod`: the product of two partial homeomorphisms,
as a partial homeomorphism on the product space
* `PartialHomeomorph.pi`: the product of a finite family of partial homeomorphisms
* `PartialHomeomorph.disjointUnion`: combine two partial homeomorphisms with disjoint sources
and disjoint targets
* `PartialHomeomorph.lift_openEmbedding`: extend a partial homeomorphism `X → Y`
under an open embedding `X → X'`, to a partial homeomorphism `X' → Z`.
(This is used to define the disjoint union of charted spaces.)
## Implementation notes
Most statements are copied from their `PartialEquiv` versions, although some care is required
especially when restricting to subsets, as these should be open subsets.
For design notes, see `PartialEquiv.lean`.
### Local coding conventions
If a lemma deals with the intersection of a set with either source or target of a `PartialEquiv`,
then it should use `e.source ∩ s` or `e.target ∩ t`, not `s ∩ e.source` or `t ∩ e.target`.
-/
open Function Set Filter Topology
variable {X X' : Type*} {Y Y' : Type*} {Z Z' : Type*}
[TopologicalSpace X] [TopologicalSpace X'] [TopologicalSpace Y] [TopologicalSpace Y']
[TopologicalSpace Z] [TopologicalSpace Z']
/-- Partial homeomorphisms, defined on open subsets of the space -/
structure PartialHomeomorph (X : Type*) (Y : Type*) [TopologicalSpace X]
[TopologicalSpace Y] extends PartialEquiv X Y where
open_source : IsOpen source
open_target : IsOpen target
continuousOn_toFun : ContinuousOn toFun source
continuousOn_invFun : ContinuousOn invFun target
namespace PartialHomeomorph
variable (e : PartialHomeomorph X Y)
/-! Basic properties; inverse (symm instance) -/
section Basic
/-- Coercion of a partial homeomorphisms to a function. We don't use `e.toFun` because it is
actually `e.toPartialEquiv.toFun`, so `simp` will apply lemmas about `toPartialEquiv`.
While we may want to switch to this behavior later, doing it mid-port will break a lot of proofs. -/
@[coe] def toFun' : X → Y := e.toFun
/-- Coercion of a `PartialHomeomorph` to function.
Note that a `PartialHomeomorph` is not `DFunLike`. -/
instance : CoeFun (PartialHomeomorph X Y) fun _ => X → Y :=
⟨fun e => e.toFun'⟩
/-- The inverse of a partial homeomorphism -/
@[symm]
protected def symm : PartialHomeomorph Y X where
toPartialEquiv := e.toPartialEquiv.symm
open_source := e.open_target
open_target := e.open_source
continuousOn_toFun := e.continuousOn_invFun
continuousOn_invFun := e.continuousOn_toFun
/-- See Note [custom simps projection]. We need to specify this projection explicitly in this case,
because it is a composition of multiple projections. -/
def Simps.apply (e : PartialHomeomorph X Y) : X → Y := e
/-- See Note [custom simps projection] -/
def Simps.symm_apply (e : PartialHomeomorph X Y) : Y → X := e.symm
initialize_simps_projections PartialHomeomorph (toFun → apply, invFun → symm_apply)
protected theorem continuousOn : ContinuousOn e e.source :=
e.continuousOn_toFun
theorem continuousOn_symm : ContinuousOn e.symm e.target :=
e.continuousOn_invFun
@[simp, mfld_simps]
theorem mk_coe (e : PartialEquiv X Y) (a b c d) : (PartialHomeomorph.mk e a b c d : X → Y) = e :=
rfl
@[simp, mfld_simps]
theorem mk_coe_symm (e : PartialEquiv X Y) (a b c d) :
((PartialHomeomorph.mk e a b c d).symm : Y → X) = e.symm :=
rfl
theorem toPartialEquiv_injective :
Injective (toPartialEquiv : PartialHomeomorph X Y → PartialEquiv X Y)
| ⟨_, _, _, _, _⟩, ⟨_, _, _, _, _⟩, rfl => rfl
/- Register a few simp lemmas to make sure that `simp` puts the application of a local
homeomorphism in its normal form, i.e., in terms of its coercion to a function. -/
@[simp, mfld_simps]
theorem toFun_eq_coe (e : PartialHomeomorph X Y) : e.toFun = e :=
rfl
@[simp, mfld_simps]
theorem invFun_eq_coe (e : PartialHomeomorph X Y) : e.invFun = e.symm :=
rfl
@[simp, mfld_simps]
theorem coe_coe : (e.toPartialEquiv : X → Y) = e :=
rfl
@[simp, mfld_simps]
theorem coe_coe_symm : (e.toPartialEquiv.symm : Y → X) = e.symm :=
rfl
@[simp, mfld_simps]
theorem map_source {x : X} (h : x ∈ e.source) : e x ∈ e.target :=
e.map_source' h
/-- Variant of `map_source`, stated for images of subsets of `source`. -/
lemma map_source'' : e '' e.source ⊆ e.target :=
fun _ ⟨_, hx, hex⟩ ↦ mem_of_eq_of_mem (id hex.symm) (e.map_source' hx)
@[simp, mfld_simps]
theorem map_target {x : Y} (h : x ∈ e.target) : e.symm x ∈ e.source :=
e.map_target' h
@[simp, mfld_simps]
theorem left_inv {x : X} (h : x ∈ e.source) : e.symm (e x) = x :=
e.left_inv' h
@[simp, mfld_simps]
theorem right_inv {x : Y} (h : x ∈ e.target) : e (e.symm x) = x :=
e.right_inv' h
theorem eq_symm_apply {x : X} {y : Y} (hx : x ∈ e.source) (hy : y ∈ e.target) :
x = e.symm y ↔ e x = y :=
e.toPartialEquiv.eq_symm_apply hx hy
protected theorem mapsTo : MapsTo e e.source e.target := fun _ => e.map_source
protected theorem symm_mapsTo : MapsTo e.symm e.target e.source :=
e.symm.mapsTo
protected theorem leftInvOn : LeftInvOn e.symm e e.source := fun _ => e.left_inv
protected theorem rightInvOn : RightInvOn e.symm e e.target := fun _ => e.right_inv
protected theorem invOn : InvOn e.symm e e.source e.target :=
⟨e.leftInvOn, e.rightInvOn⟩
protected theorem injOn : InjOn e e.source :=
e.leftInvOn.injOn
protected theorem bijOn : BijOn e e.source e.target :=
e.invOn.bijOn e.mapsTo e.symm_mapsTo
protected theorem surjOn : SurjOn e e.source e.target :=
e.bijOn.surjOn
end Basic
/-- Interpret a `Homeomorph` as a `PartialHomeomorph` by restricting it
to an open set `s` in the domain and to `t` in the codomain. -/
@[simps! -fullyApplied apply symm_apply toPartialEquiv,
simps! -isSimp source target]
def _root_.Homeomorph.toPartialHomeomorphOfImageEq (e : X ≃ₜ Y) (s : Set X) (hs : IsOpen s)
(t : Set Y) (h : e '' s = t) : PartialHomeomorph X Y where
toPartialEquiv := e.toPartialEquivOfImageEq s t h
open_source := hs
open_target := by simpa [← h]
continuousOn_toFun := e.continuous.continuousOn
continuousOn_invFun := e.symm.continuous.continuousOn
/-- A homeomorphism induces a partial homeomorphism on the whole space -/
@[simps! (config := mfld_cfg)]
def _root_.Homeomorph.toPartialHomeomorph (e : X ≃ₜ Y) : PartialHomeomorph X Y :=
e.toPartialHomeomorphOfImageEq univ isOpen_univ univ <| by rw [image_univ, e.surjective.range_eq]
/-- Replace `toPartialEquiv` field to provide better definitional equalities. -/
def replaceEquiv (e : PartialHomeomorph X Y) (e' : PartialEquiv X Y) (h : e.toPartialEquiv = e') :
PartialHomeomorph X Y where
toPartialEquiv := e'
open_source := h ▸ e.open_source
open_target := h ▸ e.open_target
continuousOn_toFun := h ▸ e.continuousOn_toFun
continuousOn_invFun := h ▸ e.continuousOn_invFun
theorem replaceEquiv_eq_self (e' : PartialEquiv X Y)
(h : e.toPartialEquiv = e') : e.replaceEquiv e' h = e := by
cases e
subst e'
rfl
theorem source_preimage_target : e.source ⊆ e ⁻¹' e.target :=
e.mapsTo
theorem eventually_left_inverse {x} (hx : x ∈ e.source) :
∀ᶠ y in 𝓝 x, e.symm (e y) = y :=
(e.open_source.eventually_mem hx).mono e.left_inv'
theorem eventually_left_inverse' {x} (hx : x ∈ e.target) :
∀ᶠ y in 𝓝 (e.symm x), e.symm (e y) = y :=
e.eventually_left_inverse (e.map_target hx)
theorem eventually_right_inverse {x} (hx : x ∈ e.target) :
∀ᶠ y in 𝓝 x, e (e.symm y) = y :=
(e.open_target.eventually_mem hx).mono e.right_inv'
theorem eventually_right_inverse' {x} (hx : x ∈ e.source) :
∀ᶠ y in 𝓝 (e x), e (e.symm y) = y :=
e.eventually_right_inverse (e.map_source hx)
theorem eventually_ne_nhdsWithin {x} (hx : x ∈ e.source) :
∀ᶠ x' in 𝓝[≠] x, e x' ≠ e x :=
eventually_nhdsWithin_iff.2 <|
(e.eventually_left_inverse hx).mono fun x' hx' =>
mt fun h => by rw [mem_singleton_iff, ← e.left_inv hx, ← h, hx']
theorem nhdsWithin_source_inter {x} (hx : x ∈ e.source) (s : Set X) : 𝓝[e.source ∩ s] x = 𝓝[s] x :=
nhdsWithin_inter_of_mem (mem_nhdsWithin_of_mem_nhds <| IsOpen.mem_nhds e.open_source hx)
theorem nhdsWithin_target_inter {x} (hx : x ∈ e.target) (s : Set Y) : 𝓝[e.target ∩ s] x = 𝓝[s] x :=
e.symm.nhdsWithin_source_inter hx s
theorem image_eq_target_inter_inv_preimage {s : Set X} (h : s ⊆ e.source) :
e '' s = e.target ∩ e.symm ⁻¹' s :=
e.toPartialEquiv.image_eq_target_inter_inv_preimage h
theorem image_source_inter_eq' (s : Set X) : e '' (e.source ∩ s) = e.target ∩ e.symm ⁻¹' s :=
e.toPartialEquiv.image_source_inter_eq' s
theorem image_source_inter_eq (s : Set X) :
e '' (e.source ∩ s) = e.target ∩ e.symm ⁻¹' (e.source ∩ s) :=
e.toPartialEquiv.image_source_inter_eq s
theorem symm_image_eq_source_inter_preimage {s : Set Y} (h : s ⊆ e.target) :
e.symm '' s = e.source ∩ e ⁻¹' s :=
e.symm.image_eq_target_inter_inv_preimage h
theorem symm_image_target_inter_eq (s : Set Y) :
e.symm '' (e.target ∩ s) = e.source ∩ e ⁻¹' (e.target ∩ s) :=
e.symm.image_source_inter_eq _
theorem source_inter_preimage_inv_preimage (s : Set X) :
e.source ∩ e ⁻¹' (e.symm ⁻¹' s) = e.source ∩ s :=
e.toPartialEquiv.source_inter_preimage_inv_preimage s
theorem target_inter_inv_preimage_preimage (s : Set Y) :
e.target ∩ e.symm ⁻¹' (e ⁻¹' s) = e.target ∩ s :=
e.symm.source_inter_preimage_inv_preimage _
theorem source_inter_preimage_target_inter (s : Set Y) :
e.source ∩ e ⁻¹' (e.target ∩ s) = e.source ∩ e ⁻¹' s :=
e.toPartialEquiv.source_inter_preimage_target_inter s
theorem image_source_eq_target : e '' e.source = e.target :=
e.toPartialEquiv.image_source_eq_target
theorem symm_image_target_eq_source : e.symm '' e.target = e.source :=
e.symm.image_source_eq_target
/-- Two partial homeomorphisms are equal when they have equal `toFun`, `invFun` and `source`.
It is not sufficient to have equal `toFun` and `source`, as this only determines `invFun` on
the target. This would only be true for a weaker notion of equality, arguably the right one,
called `EqOnSource`. -/
@[ext]
protected theorem ext (e' : PartialHomeomorph X Y) (h : ∀ x, e x = e' x)
(hinv : ∀ x, e.symm x = e'.symm x) (hs : e.source = e'.source) : e = e' :=
toPartialEquiv_injective (PartialEquiv.ext h hinv hs)
@[simp, mfld_simps]
theorem symm_toPartialEquiv : e.symm.toPartialEquiv = e.toPartialEquiv.symm :=
rfl
-- The following lemmas are already simp via `PartialEquiv`
theorem symm_source : e.symm.source = e.target :=
rfl
theorem symm_target : e.symm.target = e.source :=
rfl
@[simp, mfld_simps] theorem symm_symm : e.symm.symm = e := rfl
theorem symm_bijective : Function.Bijective
(PartialHomeomorph.symm : PartialHomeomorph X Y → PartialHomeomorph Y X) :=
Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩
/-- A partial homeomorphism is continuous at any point of its source -/
protected theorem continuousAt {x : X} (h : x ∈ e.source) : ContinuousAt e x :=
(e.continuousOn x h).continuousAt (e.open_source.mem_nhds h)
/-- A partial homeomorphism inverse is continuous at any point of its target -/
theorem continuousAt_symm {x : Y} (h : x ∈ e.target) : ContinuousAt e.symm x :=
e.symm.continuousAt h
theorem tendsto_symm {x} (hx : x ∈ e.source) : Tendsto e.symm (𝓝 (e x)) (𝓝 x) := by
simpa only [ContinuousAt, e.left_inv hx] using e.continuousAt_symm (e.map_source hx)
theorem map_nhds_eq {x} (hx : x ∈ e.source) : map e (𝓝 x) = 𝓝 (e x) :=
le_antisymm (e.continuousAt hx) <|
le_map_of_right_inverse (e.eventually_right_inverse' hx) (e.tendsto_symm hx)
theorem symm_map_nhds_eq {x} (hx : x ∈ e.source) : map e.symm (𝓝 (e x)) = 𝓝 x :=
(e.symm.map_nhds_eq <| e.map_source hx).trans <| by rw [e.left_inv hx]
theorem image_mem_nhds {x} (hx : x ∈ e.source) {s : Set X} (hs : s ∈ 𝓝 x) : e '' s ∈ 𝓝 (e x) :=
e.map_nhds_eq hx ▸ Filter.image_mem_map hs
theorem map_nhdsWithin_eq {x} (hx : x ∈ e.source) (s : Set X) :
map e (𝓝[s] x) = 𝓝[e '' (e.source ∩ s)] e x :=
calc
map e (𝓝[s] x) = map e (𝓝[e.source ∩ s] x) :=
congr_arg (map e) (e.nhdsWithin_source_inter hx _).symm
_ = 𝓝[e '' (e.source ∩ s)] e x :=
(e.leftInvOn.mono inter_subset_left).map_nhdsWithin_eq (e.left_inv hx)
(e.continuousAt_symm (e.map_source hx)).continuousWithinAt
(e.continuousAt hx).continuousWithinAt
theorem map_nhdsWithin_preimage_eq {x} (hx : x ∈ e.source) (s : Set Y) :
map e (𝓝[e ⁻¹' s] x) = 𝓝[s] e x := by
rw [e.map_nhdsWithin_eq hx, e.image_source_inter_eq', e.target_inter_inv_preimage_preimage,
e.nhdsWithin_target_inter (e.map_source hx)]
theorem eventually_nhds {x : X} (p : Y → Prop) (hx : x ∈ e.source) :
(∀ᶠ y in 𝓝 (e x), p y) ↔ ∀ᶠ x in 𝓝 x, p (e x) :=
Iff.trans (by rw [e.map_nhds_eq hx]) eventually_map
theorem eventually_nhds' {x : X} (p : X → Prop) (hx : x ∈ e.source) :
(∀ᶠ y in 𝓝 (e x), p (e.symm y)) ↔ ∀ᶠ x in 𝓝 x, p x := by
rw [e.eventually_nhds _ hx]
refine eventually_congr ((e.eventually_left_inverse hx).mono fun y hy => ?_)
rw [hy]
theorem eventually_nhdsWithin {x : X} (p : Y → Prop) {s : Set X}
(hx : x ∈ e.source) : (∀ᶠ y in 𝓝[e.symm ⁻¹' s] e x, p y) ↔ ∀ᶠ x in 𝓝[s] x, p (e x) := by
refine Iff.trans ?_ eventually_map
rw [e.map_nhdsWithin_eq hx, e.image_source_inter_eq', e.nhdsWithin_target_inter (e.mapsTo hx)]
theorem eventually_nhdsWithin' {x : X} (p : X → Prop) {s : Set X}
(hx : x ∈ e.source) : (∀ᶠ y in 𝓝[e.symm ⁻¹' s] e x, p (e.symm y)) ↔ ∀ᶠ x in 𝓝[s] x, p x := by
rw [e.eventually_nhdsWithin _ hx]
refine eventually_congr <|
(eventually_nhdsWithin_of_eventually_nhds <| e.eventually_left_inverse hx).mono fun y hy => ?_
rw [hy]
/-- This lemma is useful in the manifold library in the case that `e` is a chart. It states that
locally around `e x` the set `e.symm ⁻¹' s` is the same as the set intersected with the target
of `e` and some other neighborhood of `f x` (which will be the source of a chart on `Z`). -/
theorem preimage_eventuallyEq_target_inter_preimage_inter {e : PartialHomeomorph X Y} {s : Set X}
{t : Set Z} {x : X} {f : X → Z} (hf : ContinuousWithinAt f s x) (hxe : x ∈ e.source)
(ht : t ∈ 𝓝 (f x)) :
e.symm ⁻¹' s =ᶠ[𝓝 (e x)] (e.target ∩ e.symm ⁻¹' (s ∩ f ⁻¹' t) : Set Y) := by
rw [eventuallyEq_set, e.eventually_nhds _ hxe]
filter_upwards [e.open_source.mem_nhds hxe,
mem_nhdsWithin_iff_eventually.mp (hf.preimage_mem_nhdsWithin ht)]
intro y hy hyu
simp_rw [mem_inter_iff, mem_preimage, mem_inter_iff, e.mapsTo hy, true_and, iff_self_and,
e.left_inv hy, iff_true_intro hyu]
theorem isOpen_inter_preimage {s : Set Y} (hs : IsOpen s) : IsOpen (e.source ∩ e ⁻¹' s) :=
e.continuousOn.isOpen_inter_preimage e.open_source hs
theorem isOpen_inter_preimage_symm {s : Set X} (hs : IsOpen s) : IsOpen (e.target ∩ e.symm ⁻¹' s) :=
e.symm.continuousOn.isOpen_inter_preimage e.open_target hs
/-- A partial homeomorphism is an open map on its source:
the image of an open subset of the source is open. -/
lemma isOpen_image_of_subset_source {s : Set X} (hs : IsOpen s) (hse : s ⊆ e.source) :
IsOpen (e '' s) := by
rw [(image_eq_target_inter_inv_preimage (e := e) hse)]
exact e.continuousOn_invFun.isOpen_inter_preimage e.open_target hs
/-- The image of the restriction of an open set to the source is open. -/
theorem isOpen_image_source_inter {s : Set X} (hs : IsOpen s) :
IsOpen (e '' (e.source ∩ s)) :=
e.isOpen_image_of_subset_source (e.open_source.inter hs) inter_subset_left
/-- The inverse of a partial homeomorphism `e` is an open map on `e.target`. -/
lemma isOpen_image_symm_of_subset_target {t : Set Y} (ht : IsOpen t) (hte : t ⊆ e.target) :
IsOpen (e.symm '' t) :=
isOpen_image_of_subset_source e.symm ht (e.symm_source ▸ hte)
lemma isOpen_symm_image_iff_of_subset_target {t : Set Y} (hs : t ⊆ e.target) :
IsOpen (e.symm '' t) ↔ IsOpen t := by
refine ⟨fun h ↦ ?_, fun h ↦ e.symm.isOpen_image_of_subset_source h hs⟩
have hs' : e.symm '' t ⊆ e.source := by
rw [e.symm_image_eq_source_inter_preimage hs]
apply Set.inter_subset_left
rw [← e.image_symm_image_of_subset_target hs]
exact e.isOpen_image_of_subset_source h hs'
theorem isOpen_image_iff_of_subset_source {s : Set X} (hs : s ⊆ e.source) :
IsOpen (e '' s) ↔ IsOpen s := by
rw [← e.symm.isOpen_symm_image_iff_of_subset_target hs, e.symm_symm]
section IsImage
/-!
### `PartialHomeomorph.IsImage` relation
We say that `t : Set Y` is an image of `s : Set X` under a partial homeomorphism `e` if any of the
following equivalent conditions hold:
* `e '' (e.source ∩ s) = e.target ∩ t`;
* `e.source ∩ e ⁻¹ t = e.source ∩ s`;
* `∀ x ∈ e.source, e x ∈ t ↔ x ∈ s` (this one is used in the definition).
This definition is a restatement of `PartialEquiv.IsImage` for partial homeomorphisms.
In this section we transfer API about `PartialEquiv.IsImage` to partial homeomorphisms and
add a few `PartialHomeomorph`-specific lemmas like `PartialHomeomorph.IsImage.closure`.
-/
/-- We say that `t : Set Y` is an image of `s : Set X` under a partial homeomorphism `e`
if any of the following equivalent conditions hold:
* `e '' (e.source ∩ s) = e.target ∩ t`;
* `e.source ∩ e ⁻¹ t = e.source ∩ s`;
* `∀ x ∈ e.source, e x ∈ t ↔ x ∈ s` (this one is used in the definition).
-/
def IsImage (s : Set X) (t : Set Y) : Prop :=
∀ ⦃x⦄, x ∈ e.source → (e x ∈ t ↔ x ∈ s)
namespace IsImage
variable {e} {s : Set X} {t : Set Y} {x : X} {y : Y}
theorem toPartialEquiv (h : e.IsImage s t) : e.toPartialEquiv.IsImage s t :=
h
theorem apply_mem_iff (h : e.IsImage s t) (hx : x ∈ e.source) : e x ∈ t ↔ x ∈ s :=
h hx
protected theorem symm (h : e.IsImage s t) : e.symm.IsImage t s :=
h.toPartialEquiv.symm
theorem symm_apply_mem_iff (h : e.IsImage s t) (hy : y ∈ e.target) : e.symm y ∈ s ↔ y ∈ t :=
h.symm hy
@[simp]
theorem symm_iff : e.symm.IsImage t s ↔ e.IsImage s t :=
⟨fun h => h.symm, fun h => h.symm⟩
protected theorem mapsTo (h : e.IsImage s t) : MapsTo e (e.source ∩ s) (e.target ∩ t) :=
h.toPartialEquiv.mapsTo
theorem symm_mapsTo (h : e.IsImage s t) : MapsTo e.symm (e.target ∩ t) (e.source ∩ s) :=
h.symm.mapsTo
theorem image_eq (h : e.IsImage s t) : e '' (e.source ∩ s) = e.target ∩ t :=
h.toPartialEquiv.image_eq
theorem symm_image_eq (h : e.IsImage s t) : e.symm '' (e.target ∩ t) = e.source ∩ s :=
h.symm.image_eq
theorem iff_preimage_eq : e.IsImage s t ↔ e.source ∩ e ⁻¹' t = e.source ∩ s :=
PartialEquiv.IsImage.iff_preimage_eq
alias ⟨preimage_eq, of_preimage_eq⟩ := iff_preimage_eq
theorem iff_symm_preimage_eq : e.IsImage s t ↔ e.target ∩ e.symm ⁻¹' s = e.target ∩ t :=
symm_iff.symm.trans iff_preimage_eq
alias ⟨symm_preimage_eq, of_symm_preimage_eq⟩ := iff_symm_preimage_eq
theorem iff_symm_preimage_eq' :
e.IsImage s t ↔ e.target ∩ e.symm ⁻¹' (e.source ∩ s) = e.target ∩ t := by
rw [iff_symm_preimage_eq, ← image_source_inter_eq, ← image_source_inter_eq']
alias ⟨symm_preimage_eq', of_symm_preimage_eq'⟩ := iff_symm_preimage_eq'
theorem iff_preimage_eq' : e.IsImage s t ↔ e.source ∩ e ⁻¹' (e.target ∩ t) = e.source ∩ s :=
symm_iff.symm.trans iff_symm_preimage_eq'
alias ⟨preimage_eq', of_preimage_eq'⟩ := iff_preimage_eq'
theorem of_image_eq (h : e '' (e.source ∩ s) = e.target ∩ t) : e.IsImage s t :=
PartialEquiv.IsImage.of_image_eq h
theorem of_symm_image_eq (h : e.symm '' (e.target ∩ t) = e.source ∩ s) : e.IsImage s t :=
PartialEquiv.IsImage.of_symm_image_eq h
protected theorem compl (h : e.IsImage s t) : e.IsImage sᶜ tᶜ := fun _ hx => (h hx).not
protected theorem inter {s' t'} (h : e.IsImage s t) (h' : e.IsImage s' t') :
e.IsImage (s ∩ s') (t ∩ t') := fun _ hx => (h hx).and (h' hx)
protected theorem union {s' t'} (h : e.IsImage s t) (h' : e.IsImage s' t') :
e.IsImage (s ∪ s') (t ∪ t') := fun _ hx => (h hx).or (h' hx)
protected theorem diff {s' t'} (h : e.IsImage s t) (h' : e.IsImage s' t') :
e.IsImage (s \ s') (t \ t') :=
h.inter h'.compl
theorem leftInvOn_piecewise {e' : PartialHomeomorph X Y} [∀ i, Decidable (i ∈ s)]
[∀ i, Decidable (i ∈ t)] (h : e.IsImage s t) (h' : e'.IsImage s t) :
LeftInvOn (t.piecewise e.symm e'.symm) (s.piecewise e e') (s.ite e.source e'.source) :=
h.toPartialEquiv.leftInvOn_piecewise h'
theorem inter_eq_of_inter_eq_of_eqOn {e' : PartialHomeomorph X Y} (h : e.IsImage s t)
(h' : e'.IsImage s t) (hs : e.source ∩ s = e'.source ∩ s) (Heq : EqOn e e' (e.source ∩ s)) :
e.target ∩ t = e'.target ∩ t :=
h.toPartialEquiv.inter_eq_of_inter_eq_of_eqOn h' hs Heq
theorem symm_eqOn_of_inter_eq_of_eqOn {e' : PartialHomeomorph X Y} (h : e.IsImage s t)
(hs : e.source ∩ s = e'.source ∩ s) (Heq : EqOn e e' (e.source ∩ s)) :
EqOn e.symm e'.symm (e.target ∩ t) :=
h.toPartialEquiv.symm_eq_on_of_inter_eq_of_eqOn hs Heq
theorem map_nhdsWithin_eq (h : e.IsImage s t) (hx : x ∈ e.source) : map e (𝓝[s] x) = 𝓝[t] e x := by
rw [e.map_nhdsWithin_eq hx, h.image_eq, e.nhdsWithin_target_inter (e.map_source hx)]
protected theorem closure (h : e.IsImage s t) : e.IsImage (closure s) (closure t) := fun x hx => by
simp only [mem_closure_iff_nhdsWithin_neBot, ← h.map_nhdsWithin_eq hx, map_neBot_iff]
protected theorem interior (h : e.IsImage s t) : e.IsImage (interior s) (interior t) := by
simpa only [closure_compl, compl_compl] using h.compl.closure.compl
protected theorem frontier (h : e.IsImage s t) : e.IsImage (frontier s) (frontier t) :=
h.closure.diff h.interior
theorem isOpen_iff (h : e.IsImage s t) : IsOpen (e.source ∩ s) ↔ IsOpen (e.target ∩ t) :=
⟨fun hs => h.symm_preimage_eq' ▸ e.symm.isOpen_inter_preimage hs, fun hs =>
h.preimage_eq' ▸ e.isOpen_inter_preimage hs⟩
/-- Restrict a `PartialHomeomorph` to a pair of corresponding open sets. -/
@[simps toPartialEquiv]
def restr (h : e.IsImage s t) (hs : IsOpen (e.source ∩ s)) : PartialHomeomorph X Y where
toPartialEquiv := h.toPartialEquiv.restr
open_source := hs
open_target := h.isOpen_iff.1 hs
continuousOn_toFun := e.continuousOn.mono inter_subset_left
continuousOn_invFun := e.symm.continuousOn.mono inter_subset_left
end IsImage
theorem isImage_source_target : e.IsImage e.source e.target :=
e.toPartialEquiv.isImage_source_target
theorem isImage_source_target_of_disjoint (e' : PartialHomeomorph X Y)
(hs : Disjoint e.source e'.source) (ht : Disjoint e.target e'.target) :
e.IsImage e'.source e'.target :=
e.toPartialEquiv.isImage_source_target_of_disjoint e'.toPartialEquiv hs ht
/-- Preimage of interior or interior of preimage coincide for partial homeomorphisms,
when restricted to the source. -/
theorem preimage_interior (s : Set Y) :
e.source ∩ e ⁻¹' interior s = e.source ∩ interior (e ⁻¹' s) :=
(IsImage.of_preimage_eq rfl).interior.preimage_eq
theorem preimage_closure (s : Set Y) : e.source ∩ e ⁻¹' closure s = e.source ∩ closure (e ⁻¹' s) :=
(IsImage.of_preimage_eq rfl).closure.preimage_eq
theorem preimage_frontier (s : Set Y) :
e.source ∩ e ⁻¹' frontier s = e.source ∩ frontier (e ⁻¹' s) :=
(IsImage.of_preimage_eq rfl).frontier.preimage_eq
end IsImage
/-- A `PartialEquiv` with continuous open forward map and open source is a `PartialHomeomorph`. -/
def ofContinuousOpenRestrict (e : PartialEquiv X Y) (hc : ContinuousOn e e.source)
(ho : IsOpenMap (e.source.restrict e)) (hs : IsOpen e.source) : PartialHomeomorph X Y where
toPartialEquiv := e
open_source := hs
open_target := by simpa only [range_restrict, e.image_source_eq_target] using ho.isOpen_range
continuousOn_toFun := hc
continuousOn_invFun := e.image_source_eq_target ▸ ho.continuousOn_image_of_leftInvOn e.leftInvOn
/-- A `PartialEquiv` with continuous open forward map and open source is a `PartialHomeomorph`. -/
def ofContinuousOpen (e : PartialEquiv X Y) (hc : ContinuousOn e e.source) (ho : IsOpenMap e)
(hs : IsOpen e.source) : PartialHomeomorph X Y :=
ofContinuousOpenRestrict e hc (ho.restrict hs) hs
/-- Restricting a partial homeomorphism `e` to `e.source ∩ s` when `s` is open.
This is sometimes hard to use because of the openness assumption, but it has the advantage that
when it can be used then its `PartialEquiv` is defeq to `PartialEquiv.restr`. -/
protected def restrOpen (s : Set X) (hs : IsOpen s) : PartialHomeomorph X Y :=
(@IsImage.of_symm_preimage_eq X Y _ _ e s (e.symm ⁻¹' s) rfl).restr
(IsOpen.inter e.open_source hs)
@[simp, mfld_simps]
theorem restrOpen_toPartialEquiv (s : Set X) (hs : IsOpen s) :
(e.restrOpen s hs).toPartialEquiv = e.toPartialEquiv.restr s :=
rfl
-- Already simp via `PartialEquiv`
theorem restrOpen_source (s : Set X) (hs : IsOpen s) : (e.restrOpen s hs).source = e.source ∩ s :=
rfl
/-- Restricting a partial homeomorphism `e` to `e.source ∩ interior s`. We use the interior to make
sure that the restriction is well defined whatever the set s, since partial homeomorphisms are by
definition defined on open sets. In applications where `s` is open, this coincides with the
restriction of partial equivalences -/
@[simps! (config := mfld_cfg) apply symm_apply, simps! -isSimp source target]
protected def restr (s : Set X) : PartialHomeomorph X Y :=
e.restrOpen (interior s) isOpen_interior
@[simp, mfld_simps]
theorem restr_toPartialEquiv (s : Set X) :
(e.restr s).toPartialEquiv = e.toPartialEquiv.restr (interior s) :=
rfl
theorem restr_source' (s : Set X) (hs : IsOpen s) : (e.restr s).source = e.source ∩ s := by
rw [e.restr_source, hs.interior_eq]
theorem restr_toPartialEquiv' (s : Set X) (hs : IsOpen s) :
(e.restr s).toPartialEquiv = e.toPartialEquiv.restr s := by
rw [e.restr_toPartialEquiv, hs.interior_eq]
theorem restr_eq_of_source_subset {e : PartialHomeomorph X Y} {s : Set X} (h : e.source ⊆ s) :
e.restr s = e :=
toPartialEquiv_injective <| PartialEquiv.restr_eq_of_source_subset <|
interior_maximal h e.open_source
@[simp, mfld_simps]
theorem restr_univ {e : PartialHomeomorph X Y} : e.restr univ = e :=
restr_eq_of_source_subset (subset_univ _)
theorem restr_source_inter (s : Set X) : e.restr (e.source ∩ s) = e.restr s := by
refine PartialHomeomorph.ext _ _ (fun x => rfl) (fun x => rfl) ?_
simp [e.open_source.interior_eq, ← inter_assoc]
/-- The identity on the whole space as a partial homeomorphism. -/
@[simps! (config := mfld_cfg) apply, simps! -isSimp source target]
protected def refl (X : Type*) [TopologicalSpace X] : PartialHomeomorph X X :=
(Homeomorph.refl X).toPartialHomeomorph
@[simp, mfld_simps]
theorem refl_partialEquiv : (PartialHomeomorph.refl X).toPartialEquiv = PartialEquiv.refl X :=
rfl
@[simp, mfld_simps]
theorem refl_symm : (PartialHomeomorph.refl X).symm = PartialHomeomorph.refl X :=
rfl
/-! const: `PartialEquiv.const` as a partial homeomorphism -/
section const
variable {a : X} {b : Y}
/--
This is `PartialEquiv.single` as a partial homeomorphism: a constant map,
whose source and target are necessarily singleton sets.
-/
def const (ha : IsOpen {a}) (hb : IsOpen {b}) : PartialHomeomorph X Y where
toPartialEquiv := PartialEquiv.single a b
open_source := ha
open_target := hb
continuousOn_toFun := by simp
continuousOn_invFun := by simp
@[simp, mfld_simps]
lemma const_apply (ha : IsOpen {a}) (hb : IsOpen {b}) (x : X) : (const ha hb) x = b := rfl
@[simp, mfld_simps]
lemma const_source (ha : IsOpen {a}) (hb : IsOpen {b}) : (const ha hb).source = {a} := rfl
@[simp, mfld_simps]
lemma const_target (ha : IsOpen {a}) (hb : IsOpen {b}) : (const ha hb).target = {b} := rfl
end const
/-! ofSet: the identity on a set `s` -/
section ofSet
variable {s : Set X} (hs : IsOpen s)
/-- The identity partial equivalence on a set `s` -/
@[simps! (config := mfld_cfg) apply, simps! -isSimp source target]
def ofSet (s : Set X) (hs : IsOpen s) : PartialHomeomorph X X where
toPartialEquiv := PartialEquiv.ofSet s
open_source := hs
open_target := hs
continuousOn_toFun := continuous_id.continuousOn
continuousOn_invFun := continuous_id.continuousOn
@[simp, mfld_simps]
theorem ofSet_toPartialEquiv : (ofSet s hs).toPartialEquiv = PartialEquiv.ofSet s :=
rfl
@[simp, mfld_simps]
theorem ofSet_symm : (ofSet s hs).symm = ofSet s hs :=
rfl
@[simp, mfld_simps]
theorem ofSet_univ_eq_refl : ofSet univ isOpen_univ = PartialHomeomorph.refl X := by ext <;> simp
end ofSet
/-! `trans`: composition of two partial homeomorphisms -/
section trans
variable (e' : PartialHomeomorph Y Z)
/-- Composition of two partial homeomorphisms when the target of the first and the source of
the second coincide. -/
@[simps! apply symm_apply toPartialEquiv, simps! -isSimp source target]
protected def trans' (h : e.target = e'.source) : PartialHomeomorph X Z where
toPartialEquiv := PartialEquiv.trans' e.toPartialEquiv e'.toPartialEquiv h
open_source := e.open_source
open_target := e'.open_target
continuousOn_toFun := e'.continuousOn.comp e.continuousOn <| h ▸ e.mapsTo
continuousOn_invFun := e.continuousOn_symm.comp e'.continuousOn_symm <| h.symm ▸ e'.symm_mapsTo
/-- Composing two partial homeomorphisms, by restricting to the maximal domain where their
composition is well defined.
Within the `Manifold` namespace, there is the notation `e ≫ₕ f` for this. -/
@[trans]
protected def trans : PartialHomeomorph X Z :=
PartialHomeomorph.trans' (e.symm.restrOpen e'.source e'.open_source).symm
(e'.restrOpen e.target e.open_target) (by simp [inter_comm])
@[simp, mfld_simps]
theorem trans_toPartialEquiv :
(e.trans e').toPartialEquiv = e.toPartialEquiv.trans e'.toPartialEquiv :=
rfl
@[simp, mfld_simps]
theorem coe_trans : (e.trans e' : X → Z) = e' ∘ e :=
rfl
@[simp, mfld_simps]
theorem coe_trans_symm : ((e.trans e').symm : Z → X) = e.symm ∘ e'.symm :=
rfl
theorem trans_apply {x : X} : (e.trans e') x = e' (e x) :=
rfl
theorem trans_symm_eq_symm_trans_symm : (e.trans e').symm = e'.symm.trans e.symm := rfl
/- This could be considered as a simp lemma, but there are many situations where it makes something
simple into something more complicated. -/
theorem trans_source : (e.trans e').source = e.source ∩ e ⁻¹' e'.source :=
PartialEquiv.trans_source e.toPartialEquiv e'.toPartialEquiv
theorem trans_source' : (e.trans e').source = e.source ∩ e ⁻¹' (e.target ∩ e'.source) :=
PartialEquiv.trans_source' e.toPartialEquiv e'.toPartialEquiv
theorem trans_source'' : (e.trans e').source = e.symm '' (e.target ∩ e'.source) :=
PartialEquiv.trans_source'' e.toPartialEquiv e'.toPartialEquiv
theorem image_trans_source : e '' (e.trans e').source = e.target ∩ e'.source :=
PartialEquiv.image_trans_source e.toPartialEquiv e'.toPartialEquiv
theorem trans_target : (e.trans e').target = e'.target ∩ e'.symm ⁻¹' e.target :=
rfl
theorem trans_target' : (e.trans e').target = e'.target ∩ e'.symm ⁻¹' (e'.source ∩ e.target) :=
trans_source' e'.symm e.symm
theorem trans_target'' : (e.trans e').target = e' '' (e'.source ∩ e.target) :=
trans_source'' e'.symm e.symm
theorem inv_image_trans_target : e'.symm '' (e.trans e').target = e'.source ∩ e.target :=
image_trans_source e'.symm e.symm
theorem trans_assoc (e'' : PartialHomeomorph Z Z') :
(e.trans e').trans e'' = e.trans (e'.trans e'') :=
toPartialEquiv_injective <| e.1.trans_assoc _ _
@[simp, mfld_simps]
theorem trans_refl : e.trans (PartialHomeomorph.refl Y) = e :=
toPartialEquiv_injective e.1.trans_refl
@[simp, mfld_simps]
theorem refl_trans : (PartialHomeomorph.refl X).trans e = e :=
toPartialEquiv_injective e.1.refl_trans
theorem trans_ofSet {s : Set Y} (hs : IsOpen s) : e.trans (ofSet s hs) = e.restr (e ⁻¹' s) :=
PartialHomeomorph.ext _ _ (fun _ => rfl) (fun _ => rfl) <| by
rw [trans_source, restr_source, ofSet_source, ← preimage_interior, hs.interior_eq]
theorem trans_of_set' {s : Set Y} (hs : IsOpen s) :
e.trans (ofSet s hs) = e.restr (e.source ∩ e ⁻¹' s) := by rw [trans_ofSet, restr_source_inter]
theorem ofSet_trans {s : Set X} (hs : IsOpen s) : (ofSet s hs).trans e = e.restr s :=
PartialHomeomorph.ext _ _ (fun _ => rfl) (fun _ => rfl) <| by simp [hs.interior_eq, inter_comm]
theorem ofSet_trans' {s : Set X} (hs : IsOpen s) :
(ofSet s hs).trans e = e.restr (e.source ∩ s) := by
rw [ofSet_trans, restr_source_inter]
@[simp, mfld_simps]
theorem ofSet_trans_ofSet {s : Set X} (hs : IsOpen s) {s' : Set X} (hs' : IsOpen s') :
(ofSet s hs).trans (ofSet s' hs') = ofSet (s ∩ s') (IsOpen.inter hs hs') := by
rw [(ofSet s hs).trans_ofSet hs']
ext <;> simp [hs'.interior_eq]
theorem restr_trans (s : Set X) : (e.restr s).trans e' = (e.trans e').restr s :=
toPartialEquiv_injective <|
PartialEquiv.restr_trans e.toPartialEquiv e'.toPartialEquiv (interior s)
end trans
/-! `EqOnSource`: equivalence on their source -/
section EqOnSource
/-- `EqOnSource e e'` means that `e` and `e'` have the same source, and coincide there. They
should really be considered the same partial equivalence. -/
def EqOnSource (e e' : PartialHomeomorph X Y) : Prop :=
e.source = e'.source ∧ EqOn e e' e.source
theorem eqOnSource_iff (e e' : PartialHomeomorph X Y) :
EqOnSource e e' ↔ PartialEquiv.EqOnSource e.toPartialEquiv e'.toPartialEquiv :=
Iff.rfl
/-- `EqOnSource` is an equivalence relation. -/
instance eqOnSourceSetoid : Setoid (PartialHomeomorph X Y) :=
{ PartialEquiv.eqOnSourceSetoid.comap toPartialEquiv with r := EqOnSource }
theorem eqOnSource_refl : e ≈ e := Setoid.refl _
/-- If two partial homeomorphisms are equivalent, so are their inverses. -/
theorem EqOnSource.symm' {e e' : PartialHomeomorph X Y} (h : e ≈ e') : e.symm ≈ e'.symm :=
PartialEquiv.EqOnSource.symm' h
/-- Two equivalent partial homeomorphisms have the same source. -/
theorem EqOnSource.source_eq {e e' : PartialHomeomorph X Y} (h : e ≈ e') : e.source = e'.source :=
h.1
/-- Two equivalent partial homeomorphisms have the same target. -/
theorem EqOnSource.target_eq {e e' : PartialHomeomorph X Y} (h : e ≈ e') : e.target = e'.target :=
h.symm'.1
/-- Two equivalent partial homeomorphisms have coinciding `toFun` on the source -/
theorem EqOnSource.eqOn {e e' : PartialHomeomorph X Y} (h : e ≈ e') : EqOn e e' e.source :=
h.2
/-- Two equivalent partial homeomorphisms have coinciding `invFun` on the target -/
theorem EqOnSource.symm_eqOn_target {e e' : PartialHomeomorph X Y} (h : e ≈ e') :
EqOn e.symm e'.symm e.target :=
h.symm'.2
/-- Composition of partial homeomorphisms respects equivalence. -/
theorem EqOnSource.trans' {e e' : PartialHomeomorph X Y} {f f' : PartialHomeomorph Y Z}
(he : e ≈ e') (hf : f ≈ f') : e.trans f ≈ e'.trans f' :=
PartialEquiv.EqOnSource.trans' he hf
/-- Restriction of partial homeomorphisms respects equivalence -/
theorem EqOnSource.restr {e e' : PartialHomeomorph X Y} (he : e ≈ e') (s : Set X) :
e.restr s ≈ e'.restr s :=
PartialEquiv.EqOnSource.restr he _
/-- Two equivalent partial homeomorphisms are equal when the source and target are `univ`. -/
theorem Set.EqOn.restr_eqOn_source {e e' : PartialHomeomorph X Y}
(h : EqOn e e' (e.source ∩ e'.source)) : e.restr e'.source ≈ e'.restr e.source := by
constructor
· rw [e'.restr_source' _ e.open_source]
rw [e.restr_source' _ e'.open_source]
exact Set.inter_comm _ _
· rw [e.restr_source' _ e'.open_source]
refine (EqOn.trans ?_ h).trans ?_ <;> simp only [mfld_simps, eqOn_refl]
/-- Composition of a partial homeomorphism and its inverse is equivalent to the restriction of the
identity to the source -/
theorem self_trans_symm : e.trans e.symm ≈ PartialHomeomorph.ofSet e.source e.open_source :=
PartialEquiv.self_trans_symm _
theorem symm_trans_self : e.symm.trans e ≈ PartialHomeomorph.ofSet e.target e.open_target :=
e.symm.self_trans_symm
theorem eq_of_eqOnSource_univ {e e' : PartialHomeomorph X Y} (h : e ≈ e') (s : e.source = univ)
(t : e.target = univ) : e = e' :=
toPartialEquiv_injective <| PartialEquiv.eq_of_eqOnSource_univ _ _ h s t
end EqOnSource
/-! product of two partial homeomorphisms -/
section Prod
/-- The product of two partial homeomorphisms, as a partial homeomorphism on the product space. -/
@[simps! (config := mfld_cfg) toPartialEquiv apply,
simps! -isSimp source target symm_apply]
def prod (eX : PartialHomeomorph X X') (eY : PartialHomeomorph Y Y') :
PartialHomeomorph (X × Y) (X' × Y') where
open_source := eX.open_source.prod eY.open_source
open_target := eX.open_target.prod eY.open_target
continuousOn_toFun := eX.continuousOn.prodMap eY.continuousOn
continuousOn_invFun := eX.continuousOn_symm.prodMap eY.continuousOn_symm
toPartialEquiv := eX.toPartialEquiv.prod eY.toPartialEquiv
@[simp, mfld_simps]
theorem prod_symm (eX : PartialHomeomorph X X') (eY : PartialHomeomorph Y Y') :
(eX.prod eY).symm = eX.symm.prod eY.symm :=
rfl
@[simp]
theorem refl_prod_refl :
(PartialHomeomorph.refl X).prod (PartialHomeomorph.refl Y) = PartialHomeomorph.refl (X × Y) :=
PartialHomeomorph.ext _ _ (fun _ => rfl) (fun _ => rfl) univ_prod_univ
@[simp, mfld_simps]
theorem prod_trans (e : PartialHomeomorph X Y) (f : PartialHomeomorph Y Z)
(e' : PartialHomeomorph X' Y') (f' : PartialHomeomorph Y' Z') :
(e.prod e').trans (f.prod f') = (e.trans f).prod (e'.trans f') :=
toPartialEquiv_injective <| e.1.prod_trans ..
theorem prod_eq_prod_of_nonempty {eX eX' : PartialHomeomorph X X'} {eY eY' : PartialHomeomorph Y Y'}
(h : (eX.prod eY).source.Nonempty) : eX.prod eY = eX'.prod eY' ↔ eX = eX' ∧ eY = eY' := by
obtain ⟨⟨x, y⟩, -⟩ := id h
haveI : Nonempty X := ⟨x⟩
haveI : Nonempty X' := ⟨eX x⟩
haveI : Nonempty Y := ⟨y⟩
haveI : Nonempty Y' := ⟨eY y⟩
simp_rw [PartialHomeomorph.ext_iff, prod_apply, prod_symm_apply, prod_source, Prod.ext_iff,
Set.prod_eq_prod_iff_of_nonempty h, forall_and, Prod.forall, forall_const,
and_assoc, and_left_comm]
theorem prod_eq_prod_of_nonempty'
{eX eX' : PartialHomeomorph X X'} {eY eY' : PartialHomeomorph Y Y'}
(h : (eX'.prod eY').source.Nonempty) : eX.prod eY = eX'.prod eY' ↔ eX = eX' ∧ eY = eY' := by
rw [eq_comm, prod_eq_prod_of_nonempty h, eq_comm, @eq_comm _ eY']
end Prod
/-! finite product of partial homeomorphisms -/
section Pi
variable {ι : Type*} [Finite ι] {X Y : ι → Type*} [∀ i, TopologicalSpace (X i)]
[∀ i, TopologicalSpace (Y i)] (ei : ∀ i, PartialHomeomorph (X i) (Y i))
/-- The product of a finite family of `PartialHomeomorph`s. -/
@[simps! toPartialEquiv apply symm_apply source target]
def pi : PartialHomeomorph (∀ i, X i) (∀ i, Y i) where
toPartialEquiv := PartialEquiv.pi fun i => (ei i).toPartialEquiv
open_source := isOpen_set_pi finite_univ fun i _ => (ei i).open_source
open_target := isOpen_set_pi finite_univ fun i _ => (ei i).open_target
continuousOn_toFun := continuousOn_pi.2 fun i =>
(ei i).continuousOn.comp (continuous_apply _).continuousOn fun _f hf => hf i trivial
continuousOn_invFun := continuousOn_pi.2 fun i =>
(ei i).continuousOn_symm.comp (continuous_apply _).continuousOn fun _f hf => hf i trivial
end Pi
/-! combining two partial homeomorphisms using `Set.piecewise` -/
section Piecewise
/-- Combine two `PartialHomeomorph`s using `Set.piecewise`. The source of the new
`PartialHomeomorph` is `s.ite e.source e'.source = e.source ∩ s ∪ e'.source \ s`, and similarly for
target. The function sends `e.source ∩ s` to `e.target ∩ t` using `e` and
`e'.source \ s` to `e'.target \ t` using `e'`, and similarly for the inverse function.
To ensure the maps `toFun` and `invFun` are inverse of each other on the new `source` and `target`,
the definition assumes that the sets `s` and `t` are related both by `e.is_image` and `e'.is_image`.
To ensure that the new maps are continuous on `source`/`target`, it also assumes that `e.source` and
`e'.source` meet `frontier s` on the same set and `e x = e' x` on this intersection. -/
@[simps! -fullyApplied toPartialEquiv apply]
def piecewise (e e' : PartialHomeomorph X Y) (s : Set X) (t : Set Y) [∀ x, Decidable (x ∈ s)]
[∀ y, Decidable (y ∈ t)] (H : e.IsImage s t) (H' : e'.IsImage s t)
(Hs : e.source ∩ frontier s = e'.source ∩ frontier s)
(Heq : EqOn e e' (e.source ∩ frontier s)) : PartialHomeomorph X Y where
toPartialEquiv := e.toPartialEquiv.piecewise e'.toPartialEquiv s t H H'
open_source := e.open_source.ite e'.open_source Hs
open_target :=
e.open_target.ite e'.open_target <| H.frontier.inter_eq_of_inter_eq_of_eqOn H'.frontier Hs Heq
continuousOn_toFun := continuousOn_piecewise_ite e.continuousOn e'.continuousOn Hs Heq
continuousOn_invFun :=
continuousOn_piecewise_ite e.continuousOn_symm e'.continuousOn_symm
(H.frontier.inter_eq_of_inter_eq_of_eqOn H'.frontier Hs Heq)
(H.frontier.symm_eqOn_of_inter_eq_of_eqOn Hs Heq)
@[simp]
theorem symm_piecewise (e e' : PartialHomeomorph X Y) {s : Set X} {t : Set Y}
[∀ x, Decidable (x ∈ s)] [∀ y, Decidable (y ∈ t)] (H : e.IsImage s t) (H' : e'.IsImage s t)
(Hs : e.source ∩ frontier s = e'.source ∩ frontier s)
(Heq : EqOn e e' (e.source ∩ frontier s)) :
(e.piecewise e' s t H H' Hs Heq).symm =
e.symm.piecewise e'.symm t s H.symm H'.symm
(H.frontier.inter_eq_of_inter_eq_of_eqOn H'.frontier Hs Heq)
(H.frontier.symm_eqOn_of_inter_eq_of_eqOn Hs Heq) :=
rfl
/-- Combine two `PartialHomeomorph`s with disjoint sources and disjoint targets. We reuse
`PartialHomeomorph.piecewise` then override `toPartialEquiv` to `PartialEquiv.disjointUnion`.
This way we have better definitional equalities for `source` and `target`. -/
def disjointUnion (e e' : PartialHomeomorph X Y) [∀ x, Decidable (x ∈ e.source)]
[∀ y, Decidable (y ∈ e.target)] (Hs : Disjoint e.source e'.source)
(Ht : Disjoint e.target e'.target) : PartialHomeomorph X Y :=
(e.piecewise e' e.source e.target e.isImage_source_target
(e'.isImage_source_target_of_disjoint e Hs.symm Ht.symm)
(by rw [e.open_source.inter_frontier_eq, (Hs.symm.frontier_right e'.open_source).inter_eq])
(by
rw [e.open_source.inter_frontier_eq]
exact eqOn_empty _ _)).replaceEquiv
(e.toPartialEquiv.disjointUnion e'.toPartialEquiv Hs Ht)
(PartialEquiv.disjointUnion_eq_piecewise _ _ _ _).symm
end Piecewise
section Continuity
/-- Continuity within a set at a point can be read under right composition with a local
homeomorphism, if the point is in its target -/
theorem continuousWithinAt_iff_continuousWithinAt_comp_right {f : Y → Z} {s : Set Y} {x : Y}
(h : x ∈ e.target) :
ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ∘ e) (e ⁻¹' s) (e.symm x) := by
simp_rw [ContinuousWithinAt, ← @tendsto_map'_iff _ _ _ _ e,
e.map_nhdsWithin_preimage_eq (e.map_target h), (· ∘ ·), e.right_inv h]
/-- Continuity at a point can be read under right composition with a partial homeomorphism, if the
point is in its target -/
theorem continuousAt_iff_continuousAt_comp_right {f : Y → Z} {x : Y} (h : x ∈ e.target) :
ContinuousAt f x ↔ ContinuousAt (f ∘ e) (e.symm x) := by
rw [← continuousWithinAt_univ, e.continuousWithinAt_iff_continuousWithinAt_comp_right h,
preimage_univ, continuousWithinAt_univ]
/-- A function is continuous on a set if and only if its composition with a partial homeomorphism
on the right is continuous on the corresponding set. -/
theorem continuousOn_iff_continuousOn_comp_right {f : Y → Z} {s : Set Y} (h : s ⊆ e.target) :
ContinuousOn f s ↔ ContinuousOn (f ∘ e) (e.source ∩ e ⁻¹' s) := by
simp only [← e.symm_image_eq_source_inter_preimage h, ContinuousOn, forall_mem_image]
refine forall₂_congr fun x hx => ?_
rw [e.continuousWithinAt_iff_continuousWithinAt_comp_right (h hx),
e.symm_image_eq_source_inter_preimage h, inter_comm, continuousWithinAt_inter]
exact IsOpen.mem_nhds e.open_source (e.map_target (h hx))
/-- Continuity within a set at a point can be read under left composition with a local
homeomorphism if a neighborhood of the initial point is sent to the source of the local
homeomorphism -/
theorem continuousWithinAt_iff_continuousWithinAt_comp_left {f : Z → X} {s : Set Z} {x : Z}
(hx : f x ∈ e.source) (h : f ⁻¹' e.source ∈ 𝓝[s] x) :
ContinuousWithinAt f s x ↔ ContinuousWithinAt (e ∘ f) s x := by
refine ⟨(e.continuousAt hx).comp_continuousWithinAt, fun fe_cont => ?_⟩
rw [← continuousWithinAt_inter' h] at fe_cont ⊢
have : ContinuousWithinAt (e.symm ∘ e ∘ f) (s ∩ f ⁻¹' e.source) x :=
haveI : ContinuousWithinAt e.symm univ (e (f x)) :=
(e.continuousAt_symm (e.map_source hx)).continuousWithinAt
ContinuousWithinAt.comp this fe_cont (subset_univ _)
exact this.congr (fun y hy => by simp [e.left_inv hy.2]) (by simp [e.left_inv hx])
/-- Continuity at a point can be read under left composition with a partial homeomorphism if a
neighborhood of the initial point is sent to the source of the partial homeomorphism -/
theorem continuousAt_iff_continuousAt_comp_left {f : Z → X} {x : Z} (h : f ⁻¹' e.source ∈ 𝓝 x) :
ContinuousAt f x ↔ ContinuousAt (e ∘ f) x := by
have hx : f x ∈ e.source := (mem_of_mem_nhds h :)
have h' : f ⁻¹' e.source ∈ 𝓝[univ] x := by rwa [nhdsWithin_univ]
rw [← continuousWithinAt_univ, ← continuousWithinAt_univ,
e.continuousWithinAt_iff_continuousWithinAt_comp_left hx h']
/-- A function is continuous on a set if and only if its composition with a partial homeomorphism
on the left is continuous on the corresponding set. -/
theorem continuousOn_iff_continuousOn_comp_left {f : Z → X} {s : Set Z} (h : s ⊆ f ⁻¹' e.source) :
ContinuousOn f s ↔ ContinuousOn (e ∘ f) s :=
forall₂_congr fun _x hx =>
e.continuousWithinAt_iff_continuousWithinAt_comp_left (h hx)
(mem_of_superset self_mem_nhdsWithin h)
/-- A function is continuous if and only if its composition with a partial homeomorphism
on the left is continuous and its image is contained in the source. -/
theorem continuous_iff_continuous_comp_left {f : Z → X} (h : f ⁻¹' e.source = univ) :
Continuous f ↔ Continuous (e ∘ f) := by
simp only [continuous_iff_continuousOn_univ]
exact e.continuousOn_iff_continuousOn_comp_left (Eq.symm h).subset
end Continuity
/-- The homeomorphism obtained by restricting a `PartialHomeomorph` to a subset of the source. -/
@[simps]
def homeomorphOfImageSubsetSource {s : Set X} {t : Set Y} (hs : s ⊆ e.source) (ht : e '' s = t) :
s ≃ₜ t :=
have h₁ : MapsTo e s t := mapsTo'.2 ht.subset
have h₂ : t ⊆ e.target := ht ▸ e.image_source_eq_target ▸ image_subset e hs
have h₃ : MapsTo e.symm t s := ht ▸ forall_mem_image.2 fun _x hx =>
(e.left_inv (hs hx)).symm ▸ hx
{ toFun := MapsTo.restrict e s t h₁
invFun := MapsTo.restrict e.symm t s h₃
left_inv := fun a => Subtype.ext (e.left_inv (hs a.2))
right_inv := fun b => Subtype.eq <| e.right_inv (h₂ b.2)
continuous_toFun := (e.continuousOn.mono hs).restrict_mapsTo h₁
continuous_invFun := (e.continuousOn_symm.mono h₂).restrict_mapsTo h₃ }
/-- A partial homeomorphism defines a homeomorphism between its source and target. -/
@[simps!]
def toHomeomorphSourceTarget : e.source ≃ₜ e.target :=
e.homeomorphOfImageSubsetSource subset_rfl e.image_source_eq_target
theorem secondCountableTopology_source [SecondCountableTopology Y] :
SecondCountableTopology e.source :=
e.toHomeomorphSourceTarget.secondCountableTopology
theorem nhds_eq_comap_inf_principal {x} (hx : x ∈ e.source) :
𝓝 x = comap e (𝓝 (e x)) ⊓ 𝓟 e.source := by
lift x to e.source using hx
rw [← e.open_source.nhdsWithin_eq x.2, ← map_nhds_subtype_val, ← map_comap_setCoe_val,
e.toHomeomorphSourceTarget.nhds_eq_comap, nhds_subtype_eq_comap]
simp only [Function.comp_def, toHomeomorphSourceTarget_apply_coe, comap_comap]
/-- If a partial homeomorphism has source and target equal to univ, then it induces a homeomorphism
between the whole spaces, expressed in this definition. -/
@[simps (config := mfld_cfg) apply symm_apply]
-- TODO: add a `PartialEquiv` version
def toHomeomorphOfSourceEqUnivTargetEqUniv (h : e.source = (univ : Set X)) (h' : e.target = univ) :
X ≃ₜ Y where
toFun := e
invFun := e.symm
left_inv x :=
e.left_inv <| by
rw [h]
exact mem_univ _
right_inv x :=
e.right_inv <| by
rw [h']
exact mem_univ _
continuous_toFun := by
simpa only [continuous_iff_continuousOn_univ, h] using e.continuousOn
continuous_invFun := by
simpa only [continuous_iff_continuousOn_univ, h'] using e.continuousOn_symm
theorem isOpenEmbedding_restrict : IsOpenEmbedding (e.source.restrict e) := by
refine .of_continuous_injective_isOpenMap (e.continuousOn.comp_continuous
continuous_subtype_val Subtype.prop) e.injOn.injective fun V hV ↦ ?_
rw [Set.restrict_eq, Set.image_comp]
exact e.isOpen_image_of_subset_source (e.open_source.isOpenMap_subtype_val V hV)
fun _ ⟨x, _, h⟩ ↦ h ▸ x.2
/-- A partial homeomorphism whose source is all of `X` defines an open embedding of `X` into `Y`.
The converse is also true; see `IsOpenEmbedding.toPartialHomeomorph`. -/
theorem to_isOpenEmbedding (h : e.source = Set.univ) : IsOpenEmbedding e :=
e.isOpenEmbedding_restrict.comp
((Homeomorph.setCongr h).trans <| Homeomorph.Set.univ X).symm.isOpenEmbedding
end PartialHomeomorph
namespace Homeomorph
variable (e : X ≃ₜ Y) (e' : Y ≃ₜ Z)
/- Register as simp lemmas that the fields of a partial homeomorphism built from a homeomorphism
correspond to the fields of the original homeomorphism. -/
@[simp, mfld_simps]
theorem refl_toPartialHomeomorph :
(Homeomorph.refl X).toPartialHomeomorph = PartialHomeomorph.refl X :=
rfl
@[simp, mfld_simps]
theorem symm_toPartialHomeomorph : e.symm.toPartialHomeomorph = e.toPartialHomeomorph.symm :=
rfl
@[simp, mfld_simps]
theorem trans_toPartialHomeomorph :
(e.trans e').toPartialHomeomorph = e.toPartialHomeomorph.trans e'.toPartialHomeomorph :=
PartialHomeomorph.toPartialEquiv_injective <| Equiv.trans_toPartialEquiv _ _
/-- Precompose a partial homeomorphism with a homeomorphism.
We modify the source and target to have better definitional behavior. -/
@[simps! -fullyApplied]
def transPartialHomeomorph (e : X ≃ₜ Y) (f' : PartialHomeomorph Y Z) : PartialHomeomorph X Z where
toPartialEquiv := e.toEquiv.transPartialEquiv f'.toPartialEquiv
open_source := f'.open_source.preimage e.continuous
open_target := f'.open_target
continuousOn_toFun := f'.continuousOn.comp e.continuous.continuousOn fun _ => id
continuousOn_invFun := e.symm.continuous.comp_continuousOn f'.symm.continuousOn
theorem transPartialHomeomorph_eq_trans (e : X ≃ₜ Y) (f' : PartialHomeomorph Y Z) :
e.transPartialHomeomorph f' = e.toPartialHomeomorph.trans f' :=
PartialHomeomorph.toPartialEquiv_injective <| Equiv.transPartialEquiv_eq_trans _ _
@[simp, mfld_simps]
theorem transPartialHomeomorph_trans (e : X ≃ₜ Y) (f : PartialHomeomorph Y Z)
(f' : PartialHomeomorph Z Z') :
(e.transPartialHomeomorph f).trans f' = e.transPartialHomeomorph (f.trans f') := by
simp only [transPartialHomeomorph_eq_trans, PartialHomeomorph.trans_assoc]
@[simp, mfld_simps]
theorem trans_transPartialHomeomorph (e : X ≃ₜ Y) (e' : Y ≃ₜ Z) (f'' : PartialHomeomorph Z Z') :
(e.trans e').transPartialHomeomorph f'' =
e.transPartialHomeomorph (e'.transPartialHomeomorph f'') := by
simp only [transPartialHomeomorph_eq_trans, PartialHomeomorph.trans_assoc,
trans_toPartialHomeomorph]
end Homeomorph
namespace Topology.IsOpenEmbedding
variable (f : X → Y) (h : IsOpenEmbedding f)
/-- An open embedding of `X` into `Y`, with `X` nonempty, defines a partial homeomorphism
whose source is all of `X`. The converse is also true; see
`PartialHomeomorph.to_isOpenEmbedding`. -/
@[simps! (config := mfld_cfg) apply source target]
noncomputable def toPartialHomeomorph [Nonempty X] : PartialHomeomorph X Y :=
PartialHomeomorph.ofContinuousOpen (h.isEmbedding.injective.injOn.toPartialEquiv f univ)
h.continuous.continuousOn h.isOpenMap isOpen_univ
variable [Nonempty X]
lemma toPartialHomeomorph_left_inv {x : X} : (h.toPartialHomeomorph f).symm (f x) = x := by
rw [← congr_fun (h.toPartialHomeomorph_apply f), PartialHomeomorph.left_inv]
exact Set.mem_univ _
lemma toPartialHomeomorph_right_inv {x : Y} (hx : x ∈ Set.range f) :
f ((h.toPartialHomeomorph f).symm x) = x := by
rw [← congr_fun (h.toPartialHomeomorph_apply f), PartialHomeomorph.right_inv]
rwa [toPartialHomeomorph_target]
end Topology.IsOpenEmbedding
/-! inclusion of an open set in a topological space -/
namespace TopologicalSpace.Opens
/- `Nonempty s` is not a type class argument because `s`, being a subset, rarely comes with a type
class instance. Then we'd have to manually provide the instance every time we use the following
lemmas, tediously using `haveI := ...` or `@foobar _ _ _ ...`. -/
variable (s : Opens X) (hs : Nonempty s)
/-- The inclusion of an open subset `s` of a space `X` into `X` is a partial homeomorphism from the
subtype `s` to `X`. -/
noncomputable def partialHomeomorphSubtypeCoe : PartialHomeomorph s X :=
IsOpenEmbedding.toPartialHomeomorph _ s.2.isOpenEmbedding_subtypeVal
@[simp, mfld_simps]
theorem partialHomeomorphSubtypeCoe_coe : (s.partialHomeomorphSubtypeCoe hs : s → X) = (↑) :=
rfl
@[simp, mfld_simps]
theorem partialHomeomorphSubtypeCoe_source : (s.partialHomeomorphSubtypeCoe hs).source = Set.univ :=
rfl
@[simp, mfld_simps]
theorem partialHomeomorphSubtypeCoe_target : (s.partialHomeomorphSubtypeCoe hs).target = s := by
simp only [partialHomeomorphSubtypeCoe, Subtype.range_coe_subtype, mfld_simps]
rfl
end TopologicalSpace.Opens
namespace PartialHomeomorph
/- post-compose with a partial homeomorphism -/
section transHomeomorph
/-- Postcompose a partial homeomorphism with a homeomorphism.
We modify the source and target to have better definitional behavior. -/
@[simps! -fullyApplied]
def transHomeomorph (e : PartialHomeomorph X Y) (f' : Y ≃ₜ Z) : PartialHomeomorph X Z where
toPartialEquiv := e.toPartialEquiv.transEquiv f'.toEquiv
open_source := e.open_source
open_target := e.open_target.preimage f'.symm.continuous
continuousOn_toFun := f'.continuous.comp_continuousOn e.continuousOn
continuousOn_invFun := e.symm.continuousOn.comp f'.symm.continuous.continuousOn fun _ => id
theorem transHomeomorph_eq_trans (e : PartialHomeomorph X Y) (f' : Y ≃ₜ Z) :
e.transHomeomorph f' = e.trans f'.toPartialHomeomorph :=
toPartialEquiv_injective <| PartialEquiv.transEquiv_eq_trans _ _
| @[simp, mfld_simps]
theorem transHomeomorph_transHomeomorph (e : PartialHomeomorph X Y) (f' : Y ≃ₜ Z) (f'' : Z ≃ₜ Z') :
(e.transHomeomorph f').transHomeomorph f'' = e.transHomeomorph (f'.trans f'') := by
simp only [transHomeomorph_eq_trans, trans_assoc, Homeomorph.trans_toPartialHomeomorph]
@[simp, mfld_simps]
| Mathlib/Topology/PartialHomeomorph.lean | 1,270 | 1,275 |
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Bryan Gin-ge Chen
-/
import Mathlib.Order.Heyting.Basic
/-!
# (Generalized) Boolean algebras
A Boolean algebra is a bounded distributive lattice with a complement operator. Boolean algebras
generalize the (classical) logic of propositions and the lattice of subsets of a set.
Generalized Boolean algebras may be less familiar, but they are essentially Boolean algebras which
do not necessarily have a top element (`⊤`) (and hence not all elements may have complements). One
example in mathlib is `Finset α`, the type of all finite subsets of an arbitrary
(not-necessarily-finite) type `α`.
`GeneralizedBooleanAlgebra α` is defined to be a distributive lattice with bottom (`⊥`) admitting
a *relative* complement operator, written using "set difference" notation as `x \ y` (`sdiff x y`).
For convenience, the `BooleanAlgebra` type class is defined to extend `GeneralizedBooleanAlgebra`
so that it is also bundled with a `\` operator.
(A terminological point: `x \ y` is the complement of `y` relative to the interval `[⊥, x]`. We do
not yet have relative complements for arbitrary intervals, as we do not even have lattice
intervals.)
## Main declarations
* `GeneralizedBooleanAlgebra`: a type class for generalized Boolean algebras
* `BooleanAlgebra`: a type class for Boolean algebras.
* `Prop.booleanAlgebra`: the Boolean algebra instance on `Prop`
## Implementation notes
The `sup_inf_sdiff` and `inf_inf_sdiff` axioms for the relative complement operator in
`GeneralizedBooleanAlgebra` are taken from
[Wikipedia](https://en.wikipedia.org/wiki/Boolean_algebra_(structure)#Generalizations).
[Stone's paper introducing generalized Boolean algebras][Stone1935] does not define a relative
complement operator `a \ b` for all `a`, `b`. Instead, the postulates there amount to an assumption
that for all `a, b : α` where `a ≤ b`, the equations `x ⊔ a = b` and `x ⊓ a = ⊥` have a solution
`x`. `Disjoint.sdiff_unique` proves that this `x` is in fact `b \ a`.
## References
* <https://en.wikipedia.org/wiki/Boolean_algebra_(structure)#Generalizations>
* [*Postulates for Boolean Algebras and Generalized Boolean Algebras*, M.H. Stone][Stone1935]
* [*Lattice Theory: Foundation*, George Grätzer][Gratzer2011]
## Tags
generalized Boolean algebras, Boolean algebras, lattices, sdiff, compl
-/
assert_not_exists RelIso
open Function OrderDual
universe u v
variable {α : Type u} {β : Type*} {x y z : α}
/-!
### Generalized Boolean algebras
Some of the lemmas in this section are from:
* [*Lattice Theory: Foundation*, George Grätzer][Gratzer2011]
* <https://ncatlab.org/nlab/show/relative+complement>
* <https://people.math.gatech.edu/~mccuan/courses/4317/symmetricdifference.pdf>
-/
/-- A generalized Boolean algebra is a distributive lattice with `⊥` and a relative complement
operation `\` (called `sdiff`, after "set difference") satisfying `(a ⊓ b) ⊔ (a \ b) = a` and
`(a ⊓ b) ⊓ (a \ b) = ⊥`, i.e. `a \ b` is the complement of `b` in `a`.
This is a generalization of Boolean algebras which applies to `Finset α` for arbitrary
(not-necessarily-`Fintype`) `α`. -/
class GeneralizedBooleanAlgebra (α : Type u) extends DistribLattice α, SDiff α, Bot α where
/-- For any `a`, `b`, `(a ⊓ b) ⊔ (a / b) = a` -/
sup_inf_sdiff : ∀ a b : α, a ⊓ b ⊔ a \ b = a
/-- For any `a`, `b`, `(a ⊓ b) ⊓ (a / b) = ⊥` -/
inf_inf_sdiff : ∀ a b : α, a ⊓ b ⊓ a \ b = ⊥
-- We might want an `IsCompl_of` predicate (for relative complements) generalizing `IsCompl`,
-- however we'd need another type class for lattices with bot, and all the API for that.
section GeneralizedBooleanAlgebra
variable [GeneralizedBooleanAlgebra α]
@[simp]
theorem sup_inf_sdiff (x y : α) : x ⊓ y ⊔ x \ y = x :=
GeneralizedBooleanAlgebra.sup_inf_sdiff _ _
@[simp]
theorem inf_inf_sdiff (x y : α) : x ⊓ y ⊓ x \ y = ⊥ :=
GeneralizedBooleanAlgebra.inf_inf_sdiff _ _
@[simp]
theorem sup_sdiff_inf (x y : α) : x \ y ⊔ x ⊓ y = x := by rw [sup_comm, sup_inf_sdiff]
@[simp]
theorem inf_sdiff_inf (x y : α) : x \ y ⊓ (x ⊓ y) = ⊥ := by rw [inf_comm, inf_inf_sdiff]
-- see Note [lower instance priority]
instance (priority := 100) GeneralizedBooleanAlgebra.toOrderBot : OrderBot α where
__ := GeneralizedBooleanAlgebra.toBot
bot_le a := by
rw [← inf_inf_sdiff a a, inf_assoc]
exact inf_le_left
theorem disjoint_inf_sdiff : Disjoint (x ⊓ y) (x \ y) :=
disjoint_iff_inf_le.mpr (inf_inf_sdiff x y).le
-- TODO: in distributive lattices, relative complements are unique when they exist
theorem sdiff_unique (s : x ⊓ y ⊔ z = x) (i : x ⊓ y ⊓ z = ⊥) : x \ y = z := by
conv_rhs at s => rw [← sup_inf_sdiff x y, sup_comm]
rw [sup_comm] at s
conv_rhs at i => rw [← inf_inf_sdiff x y, inf_comm]
rw [inf_comm] at i
exact (eq_of_inf_eq_sup_eq i s).symm
-- Use `sdiff_le`
private theorem sdiff_le' : x \ y ≤ x :=
calc
x \ y ≤ x ⊓ y ⊔ x \ y := le_sup_right
_ = x := sup_inf_sdiff x y
-- Use `sdiff_sup_self`
private theorem sdiff_sup_self' : y \ x ⊔ x = y ⊔ x :=
calc
y \ x ⊔ x = y \ x ⊔ (x ⊔ x ⊓ y) := by rw [sup_inf_self]
_ = y ⊓ x ⊔ y \ x ⊔ x := by ac_rfl
_ = y ⊔ x := by rw [sup_inf_sdiff]
@[simp]
theorem sdiff_inf_sdiff : x \ y ⊓ y \ x = ⊥ :=
Eq.symm <|
calc
⊥ = x ⊓ y ⊓ x \ y := by rw [inf_inf_sdiff]
_ = x ⊓ (y ⊓ x ⊔ y \ x) ⊓ x \ y := by rw [sup_inf_sdiff]
_ = (x ⊓ (y ⊓ x) ⊔ x ⊓ y \ x) ⊓ x \ y := by rw [inf_sup_left]
_ = (y ⊓ (x ⊓ x) ⊔ x ⊓ y \ x) ⊓ x \ y := by ac_rfl
_ = (y ⊓ x ⊔ x ⊓ y \ x) ⊓ x \ y := by rw [inf_idem]
_ = x ⊓ y ⊓ x \ y ⊔ x ⊓ y \ x ⊓ x \ y := by rw [inf_sup_right, inf_comm x y]
_ = x ⊓ y \ x ⊓ x \ y := by rw [inf_inf_sdiff, bot_sup_eq]
_ = x ⊓ x \ y ⊓ y \ x := by ac_rfl
_ = x \ y ⊓ y \ x := by rw [inf_of_le_right sdiff_le']
theorem disjoint_sdiff_sdiff : Disjoint (x \ y) (y \ x) :=
disjoint_iff_inf_le.mpr sdiff_inf_sdiff.le
@[simp]
theorem inf_sdiff_self_right : x ⊓ y \ x = ⊥ :=
calc
x ⊓ y \ x = (x ⊓ y ⊔ x \ y) ⊓ y \ x := by rw [sup_inf_sdiff]
_ = x ⊓ y ⊓ y \ x ⊔ x \ y ⊓ y \ x := by rw [inf_sup_right]
_ = ⊥ := by rw [inf_comm x y, inf_inf_sdiff, sdiff_inf_sdiff, bot_sup_eq]
@[simp]
theorem inf_sdiff_self_left : y \ x ⊓ x = ⊥ := by rw [inf_comm, inf_sdiff_self_right]
-- see Note [lower instance priority]
instance (priority := 100) GeneralizedBooleanAlgebra.toGeneralizedCoheytingAlgebra :
GeneralizedCoheytingAlgebra α where
__ := ‹GeneralizedBooleanAlgebra α›
__ := GeneralizedBooleanAlgebra.toOrderBot
sdiff := (· \ ·)
sdiff_le_iff y x z :=
⟨fun h =>
le_of_inf_le_sup_le
(le_of_eq
(calc
y ⊓ y \ x = y \ x := inf_of_le_right sdiff_le'
_ = x ⊓ y \ x ⊔ z ⊓ y \ x := by
rw [inf_eq_right.2 h, inf_sdiff_self_right, bot_sup_eq]
_ = (x ⊔ z) ⊓ y \ x := by rw [← inf_sup_right]))
(calc
y ⊔ y \ x = y := sup_of_le_left sdiff_le'
_ ≤ y ⊔ (x ⊔ z) := le_sup_left
_ = y \ x ⊔ x ⊔ z := by rw [← sup_assoc, ← @sdiff_sup_self' _ x y]
_ = x ⊔ z ⊔ y \ x := by ac_rfl),
fun h =>
le_of_inf_le_sup_le
(calc
y \ x ⊓ x = ⊥ := inf_sdiff_self_left
_ ≤ z ⊓ x := bot_le)
(calc
y \ x ⊔ x = y ⊔ x := sdiff_sup_self'
_ ≤ x ⊔ z ⊔ x := sup_le_sup_right h x
_ ≤ z ⊔ x := by rw [sup_assoc, sup_comm, sup_assoc, sup_idem])⟩
theorem disjoint_sdiff_self_left : Disjoint (y \ x) x :=
disjoint_iff_inf_le.mpr inf_sdiff_self_left.le
theorem disjoint_sdiff_self_right : Disjoint x (y \ x) :=
disjoint_iff_inf_le.mpr inf_sdiff_self_right.le
lemma le_sdiff : x ≤ y \ z ↔ x ≤ y ∧ Disjoint x z :=
⟨fun h ↦ ⟨h.trans sdiff_le, disjoint_sdiff_self_left.mono_left h⟩, fun h ↦
by rw [← h.2.sdiff_eq_left]; exact sdiff_le_sdiff_right h.1⟩
@[simp] lemma sdiff_eq_left : x \ y = x ↔ Disjoint x y :=
⟨fun h ↦ disjoint_sdiff_self_left.mono_left h.ge, Disjoint.sdiff_eq_left⟩
/- TODO: we could make an alternative constructor for `GeneralizedBooleanAlgebra` using
`Disjoint x (y \ x)` and `x ⊔ (y \ x) = y` as axioms. -/
theorem Disjoint.sdiff_eq_of_sup_eq (hi : Disjoint x z) (hs : x ⊔ z = y) : y \ x = z :=
have h : y ⊓ x = x := inf_eq_right.2 <| le_sup_left.trans hs.le
sdiff_unique (by rw [h, hs]) (by rw [h, hi.eq_bot])
protected theorem Disjoint.sdiff_unique (hd : Disjoint x z) (hz : z ≤ y) (hs : y ≤ x ⊔ z) :
y \ x = z :=
sdiff_unique
(by
rw [← inf_eq_right] at hs
rwa [sup_inf_right, inf_sup_right, sup_comm x, inf_sup_self, inf_comm, sup_comm z,
hs, sup_eq_left])
(by rw [inf_assoc, hd.eq_bot, inf_bot_eq])
-- cf. `IsCompl.disjoint_left_iff` and `IsCompl.disjoint_right_iff`
theorem disjoint_sdiff_iff_le (hz : z ≤ y) (hx : x ≤ y) : Disjoint z (y \ x) ↔ z ≤ x :=
⟨fun H =>
le_of_inf_le_sup_le (le_trans H.le_bot bot_le)
(by
rw [sup_sdiff_cancel_right hx]
refine le_trans (sup_le_sup_left sdiff_le z) ?_
rw [sup_eq_right.2 hz]),
fun H => disjoint_sdiff_self_right.mono_left H⟩
-- cf. `IsCompl.le_left_iff` and `IsCompl.le_right_iff`
theorem le_iff_disjoint_sdiff (hz : z ≤ y) (hx : x ≤ y) : z ≤ x ↔ Disjoint z (y \ x) :=
(disjoint_sdiff_iff_le hz hx).symm
-- cf. `IsCompl.inf_left_eq_bot_iff` and `IsCompl.inf_right_eq_bot_iff`
theorem inf_sdiff_eq_bot_iff (hz : z ≤ y) (hx : x ≤ y) : z ⊓ y \ x = ⊥ ↔ z ≤ x := by
rw [← disjoint_iff]
exact disjoint_sdiff_iff_le hz hx
-- cf. `IsCompl.left_le_iff` and `IsCompl.right_le_iff`
theorem le_iff_eq_sup_sdiff (hz : z ≤ y) (hx : x ≤ y) : x ≤ z ↔ y = z ⊔ y \ x :=
⟨fun H => by
apply le_antisymm
· conv_lhs => rw [← sup_inf_sdiff y x]
apply sup_le_sup_right
rwa [inf_eq_right.2 hx]
· apply le_trans
· apply sup_le_sup_right hz
· rw [sup_sdiff_left],
fun H => by
conv_lhs at H => rw [← sup_sdiff_cancel_right hx]
refine le_of_inf_le_sup_le ?_ H.le
rw [inf_sdiff_self_right]
exact bot_le⟩
-- cf. `IsCompl.sup_inf`
theorem sdiff_sup : y \ (x ⊔ z) = y \ x ⊓ y \ z :=
sdiff_unique
(calc
y ⊓ (x ⊔ z) ⊔ y \ x ⊓ y \ z = (y ⊓ (x ⊔ z) ⊔ y \ x) ⊓ (y ⊓ (x ⊔ z) ⊔ y \ z) := by
rw [sup_inf_left]
_ = (y ⊓ x ⊔ y ⊓ z ⊔ y \ x) ⊓ (y ⊓ x ⊔ y ⊓ z ⊔ y \ z) := by rw [@inf_sup_left _ _ y]
_ = (y ⊓ z ⊔ (y ⊓ x ⊔ y \ x)) ⊓ (y ⊓ x ⊔ (y ⊓ z ⊔ y \ z)) := by ac_rfl
_ = (y ⊓ z ⊔ y) ⊓ (y ⊓ x ⊔ y) := by rw [sup_inf_sdiff, sup_inf_sdiff]
_ = (y ⊔ y ⊓ z) ⊓ (y ⊔ y ⊓ x) := by ac_rfl
_ = y := by rw [sup_inf_self, sup_inf_self, inf_idem])
(calc
y ⊓ (x ⊔ z) ⊓ (y \ x ⊓ y \ z) = (y ⊓ x ⊔ y ⊓ z) ⊓ (y \ x ⊓ y \ z) := by rw [inf_sup_left]
_ = y ⊓ x ⊓ (y \ x ⊓ y \ z) ⊔ y ⊓ z ⊓ (y \ x ⊓ y \ z) := by rw [inf_sup_right]
_ = y ⊓ x ⊓ y \ x ⊓ y \ z ⊔ y \ x ⊓ (y \ z ⊓ (y ⊓ z)) := by ac_rfl
_ = ⊥ := by rw [inf_inf_sdiff, bot_inf_eq, bot_sup_eq, inf_comm (y \ z),
inf_inf_sdiff, inf_bot_eq])
theorem sdiff_eq_sdiff_iff_inf_eq_inf : y \ x = y \ z ↔ y ⊓ x = y ⊓ z :=
⟨fun h => eq_of_inf_eq_sup_eq (a := y \ x) (by rw [inf_inf_sdiff, h, inf_inf_sdiff])
(by rw [sup_inf_sdiff, h, sup_inf_sdiff]),
fun h => by rw [← sdiff_inf_self_right, ← sdiff_inf_self_right z y, inf_comm, h, inf_comm]⟩
theorem sdiff_eq_self_iff_disjoint : x \ y = x ↔ Disjoint y x :=
calc
x \ y = x ↔ x \ y = x \ ⊥ := by rw [sdiff_bot]
_ ↔ x ⊓ y = x ⊓ ⊥ := sdiff_eq_sdiff_iff_inf_eq_inf
_ ↔ Disjoint y x := by rw [inf_bot_eq, inf_comm, disjoint_iff]
theorem sdiff_eq_self_iff_disjoint' : x \ y = x ↔ Disjoint x y := by
rw [sdiff_eq_self_iff_disjoint, disjoint_comm]
theorem sdiff_lt (hx : y ≤ x) (hy : y ≠ ⊥) : x \ y < x := by
refine sdiff_le.lt_of_ne fun h => hy ?_
rw [sdiff_eq_self_iff_disjoint', disjoint_iff] at h
rw [← h, inf_eq_right.mpr hx]
theorem sdiff_lt_left : x \ y < x ↔ ¬ Disjoint y x := by
rw [lt_iff_le_and_ne, Ne, sdiff_eq_self_iff_disjoint, and_iff_right sdiff_le]
@[simp]
theorem le_sdiff_right : x ≤ y \ x ↔ x = ⊥ :=
⟨fun h => disjoint_self.1 (disjoint_sdiff_self_right.mono_right h), fun h => h.le.trans bot_le⟩
@[simp] lemma sdiff_eq_right : x \ y = y ↔ x = ⊥ ∧ y = ⊥ := by
rw [disjoint_sdiff_self_left.eq_iff]; aesop
lemma sdiff_ne_right : x \ y ≠ y ↔ x ≠ ⊥ ∨ y ≠ ⊥ := sdiff_eq_right.not.trans not_and_or
theorem sdiff_lt_sdiff_right (h : x < y) (hz : z ≤ x) : x \ z < y \ z :=
(sdiff_le_sdiff_right h.le).lt_of_not_le
fun h' => h.not_le <| le_sdiff_sup.trans <| sup_le_of_le_sdiff_right h' hz
theorem sup_inf_inf_sdiff : x ⊓ y ⊓ z ⊔ y \ z = x ⊓ y ⊔ y \ z :=
calc
x ⊓ y ⊓ z ⊔ y \ z = x ⊓ (y ⊓ z) ⊔ y \ z := by rw [inf_assoc]
_ = (x ⊔ y \ z) ⊓ y := by rw [sup_inf_right, sup_inf_sdiff]
_ = x ⊓ y ⊔ y \ z := by rw [inf_sup_right, inf_sdiff_left]
theorem sdiff_sdiff_right : x \ (y \ z) = x \ y ⊔ x ⊓ y ⊓ z := by
rw [sup_comm, inf_comm, ← inf_assoc, sup_inf_inf_sdiff]
apply sdiff_unique
· calc
x ⊓ y \ z ⊔ (z ⊓ x ⊔ x \ y) = (x ⊔ (z ⊓ x ⊔ x \ y)) ⊓ (y \ z ⊔ (z ⊓ x ⊔ x \ y)) := by
rw [sup_inf_right]
_ = (x ⊔ x ⊓ z ⊔ x \ y) ⊓ (y \ z ⊔ (x ⊓ z ⊔ x \ y)) := by ac_rfl
_ = x ⊓ (y \ z ⊔ x ⊓ z ⊔ x \ y) := by rw [sup_inf_self, sup_sdiff_left, ← sup_assoc]
_ = x ⊓ (y \ z ⊓ (z ⊔ y) ⊔ x ⊓ (z ⊔ y) ⊔ x \ y) := by
rw [sup_inf_left, sdiff_sup_self', inf_sup_right, sup_comm y]
_ = x ⊓ (y \ z ⊔ (x ⊓ z ⊔ x ⊓ y) ⊔ x \ y) := by
rw [inf_sdiff_sup_right, @inf_sup_left _ _ x z y]
_ = x ⊓ (y \ z ⊔ (x ⊓ z ⊔ (x ⊓ y ⊔ x \ y))) := by ac_rfl
_ = x ⊓ (y \ z ⊔ (x ⊔ x ⊓ z)) := by rw [sup_inf_sdiff, sup_comm (x ⊓ z)]
_ = x := by rw [sup_inf_self, sup_comm, inf_sup_self]
· calc
x ⊓ y \ z ⊓ (z ⊓ x ⊔ x \ y) = x ⊓ y \ z ⊓ (z ⊓ x) ⊔ x ⊓ y \ z ⊓ x \ y := by rw [inf_sup_left]
_ = x ⊓ (y \ z ⊓ z ⊓ x) ⊔ x ⊓ y \ z ⊓ x \ y := by ac_rfl
_ = x ⊓ y \ z ⊓ x \ y := by rw [inf_sdiff_self_left, bot_inf_eq, inf_bot_eq, bot_sup_eq]
_ = x ⊓ (y \ z ⊓ y) ⊓ x \ y := by conv_lhs => rw [← inf_sdiff_left]
_ = x ⊓ (y \ z ⊓ (y ⊓ x \ y)) := by ac_rfl
_ = ⊥ := by rw [inf_sdiff_self_right, inf_bot_eq, inf_bot_eq]
theorem sdiff_sdiff_right' : x \ (y \ z) = x \ y ⊔ x ⊓ z :=
calc
x \ (y \ z) = x \ y ⊔ x ⊓ y ⊓ z := sdiff_sdiff_right
_ = z ⊓ x ⊓ y ⊔ x \ y := by ac_rfl
_ = x \ y ⊔ x ⊓ z := by rw [sup_inf_inf_sdiff, sup_comm, inf_comm]
theorem sdiff_sdiff_eq_sdiff_sup (h : z ≤ x) : x \ (y \ z) = x \ y ⊔ z := by
rw [sdiff_sdiff_right', inf_eq_right.2 h]
@[simp]
theorem sdiff_sdiff_right_self : x \ (x \ y) = x ⊓ y := by
rw [sdiff_sdiff_right, inf_idem, sdiff_self, bot_sup_eq]
theorem sdiff_sdiff_eq_self (h : y ≤ x) : x \ (x \ y) = y := by
rw [sdiff_sdiff_right_self, inf_of_le_right h]
theorem sdiff_eq_symm (hy : y ≤ x) (h : x \ y = z) : x \ z = y := by
rw [← h, sdiff_sdiff_eq_self hy]
theorem sdiff_eq_comm (hy : y ≤ x) (hz : z ≤ x) : x \ y = z ↔ x \ z = y :=
⟨sdiff_eq_symm hy, sdiff_eq_symm hz⟩
theorem eq_of_sdiff_eq_sdiff (hxz : x ≤ z) (hyz : y ≤ z) (h : z \ x = z \ y) : x = y := by
rw [← sdiff_sdiff_eq_self hxz, h, sdiff_sdiff_eq_self hyz]
theorem sdiff_le_sdiff_iff_le (hx : x ≤ z) (hy : y ≤ z) : z \ x ≤ z \ y ↔ y ≤ x := by
refine ⟨fun h ↦ ?_, sdiff_le_sdiff_left⟩
rw [← sdiff_sdiff_eq_self hx, ← sdiff_sdiff_eq_self hy]
exact sdiff_le_sdiff_left h
theorem sdiff_sdiff_left' : (x \ y) \ z = x \ y ⊓ x \ z := by rw [sdiff_sdiff_left, sdiff_sup]
theorem sdiff_sdiff_sup_sdiff : z \ (x \ y ⊔ y \ x) = z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ x) :=
calc
z \ (x \ y ⊔ y \ x) = (z \ x ⊔ z ⊓ x ⊓ y) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by
rw [sdiff_sup, sdiff_sdiff_right, sdiff_sdiff_right]
_ = z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by rw [sup_inf_left, sup_comm, sup_inf_sdiff]
_ = z ⊓ (z \ x ⊔ y) ⊓ (z ⊓ (z \ y ⊔ x)) := by
rw [sup_inf_left, sup_comm (z \ y), sup_inf_sdiff]
_ = z ⊓ z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ x) := by ac_rfl
_ = z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ x) := by rw [inf_idem]
theorem sdiff_sdiff_sup_sdiff' : z \ (x \ y ⊔ y \ x) = z ⊓ x ⊓ y ⊔ z \ x ⊓ z \ y :=
calc
z \ (x \ y ⊔ y \ x) = z \ (x \ y) ⊓ z \ (y \ x) := sdiff_sup
_ = (z \ x ⊔ z ⊓ x ⊓ y) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by rw [sdiff_sdiff_right, sdiff_sdiff_right]
_ = (z \ x ⊔ z ⊓ y ⊓ x) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by ac_rfl
_ = z \ x ⊓ z \ y ⊔ z ⊓ y ⊓ x := by rw [← sup_inf_right]
_ = z ⊓ x ⊓ y ⊔ z \ x ⊓ z \ y := by ac_rfl
lemma sdiff_sdiff_sdiff_cancel_left (hca : z ≤ x) : (x \ y) \ (x \ z) = z \ y :=
sdiff_sdiff_sdiff_le_sdiff.antisymm <|
(disjoint_sdiff_self_right.mono_left sdiff_le).le_sdiff_of_le_left <| sdiff_le_sdiff_right hca
lemma sdiff_sdiff_sdiff_cancel_right (hcb : z ≤ y) : (x \ z) \ (y \ z) = x \ y := by
rw [le_antisymm_iff, sdiff_le_comm]
exact ⟨sdiff_sdiff_sdiff_le_sdiff,
(disjoint_sdiff_self_left.mono_right sdiff_le).le_sdiff_of_le_left <| sdiff_le_sdiff_left hcb⟩
theorem inf_sdiff : (x ⊓ y) \ z = x \ z ⊓ y \ z :=
sdiff_unique
(calc
x ⊓ y ⊓ z ⊔ x \ z ⊓ y \ z = (x ⊓ y ⊓ z ⊔ x \ z) ⊓ (x ⊓ y ⊓ z ⊔ y \ z) := by rw [sup_inf_left]
_ = (x ⊓ y ⊓ (z ⊔ x) ⊔ x \ z) ⊓ (x ⊓ y ⊓ z ⊔ y \ z) := by
rw [sup_inf_right, sup_sdiff_self_right, inf_sup_right, inf_sdiff_sup_right]
_ = (y ⊓ (x ⊓ (x ⊔ z)) ⊔ x \ z) ⊓ (x ⊓ y ⊓ z ⊔ y \ z) := by ac_rfl
_ = (y ⊓ x ⊔ x \ z) ⊓ (x ⊓ y ⊔ y \ z) := by rw [inf_sup_self, sup_inf_inf_sdiff]
_ = x ⊓ y ⊔ x \ z ⊓ y \ z := by rw [inf_comm y, sup_inf_left]
_ = x ⊓ y := sup_eq_left.2 (inf_le_inf sdiff_le sdiff_le))
(calc
x ⊓ y ⊓ z ⊓ (x \ z ⊓ y \ z) = x ⊓ y ⊓ (z ⊓ x \ z) ⊓ y \ z := by ac_rfl
_ = ⊥ := by rw [inf_sdiff_self_right, inf_bot_eq, bot_inf_eq])
/-- See also `sdiff_inf_right_comm`. -/
theorem inf_sdiff_assoc (x y z : α) : (x ⊓ y) \ z = x ⊓ y \ z :=
sdiff_unique
(calc
x ⊓ y ⊓ z ⊔ x ⊓ y \ z = x ⊓ (y ⊓ z) ⊔ x ⊓ y \ z := by rw [inf_assoc]
_ = x ⊓ (y ⊓ z ⊔ y \ z) := by rw [← inf_sup_left]
_ = x ⊓ y := by rw [sup_inf_sdiff])
(calc
x ⊓ y ⊓ z ⊓ (x ⊓ y \ z) = x ⊓ x ⊓ (y ⊓ z ⊓ y \ z) := by ac_rfl
_ = ⊥ := by rw [inf_inf_sdiff, inf_bot_eq])
/-- See also `inf_sdiff_assoc`. -/
theorem sdiff_inf_right_comm (x y z : α) : x \ z ⊓ y = (x ⊓ y) \ z := by
rw [inf_comm x, inf_comm, inf_sdiff_assoc]
lemma inf_sdiff_left_comm (a b c : α) : a ⊓ (b \ c) = b ⊓ (a \ c) := by
| simp_rw [← inf_sdiff_assoc, inf_comm]
@[deprecated (since := "2025-01-08")] alias inf_sdiff_right_comm := sdiff_inf_right_comm
| Mathlib/Order/BooleanAlgebra.lean | 430 | 433 |
/-
Copyright (c) 2019 Neil Strickland. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Neil Strickland
-/
import Mathlib.Algebra.BigOperators.Group.Multiset.Basic
import Mathlib.Data.PNat.Prime
import Mathlib.Data.Nat.Factors
import Mathlib.Data.Multiset.OrderedMonoid
import Mathlib.Data.Multiset.Sort
/-!
# Prime factors of nonzero naturals
This file defines the factorization of a nonzero natural number `n` as a multiset of primes,
the multiplicity of `p` in this factors multiset being the p-adic valuation of `n`.
## Main declarations
* `PrimeMultiset`: Type of multisets of prime numbers.
* `FactorMultiset n`: Multiset of prime factors of `n`.
-/
/-- The type of multisets of prime numbers. Unique factorization
gives an equivalence between this set and ℕ+, as we will formalize
below. -/
def PrimeMultiset :=
Multiset Nat.Primes deriving Inhabited, AddCommMonoid, DistribLattice,
SemilatticeSup, Sub
-- The `CanonicallyOrderedAdd, OrderBot, OrderedSub` instances should be constructed by a deriving
-- handler.
-- https://github.com/leanprover-community/mathlib4/issues/380
instance : IsOrderedCancelAddMonoid PrimeMultiset :=
inferInstanceAs (IsOrderedCancelAddMonoid (Multiset Nat.Primes))
instance : CanonicallyOrderedAdd PrimeMultiset :=
inferInstanceAs (CanonicallyOrderedAdd (Multiset Nat.Primes))
instance : OrderBot PrimeMultiset :=
inferInstanceAs (OrderBot (Multiset Nat.Primes))
instance : OrderedSub PrimeMultiset :=
inferInstanceAs (OrderedSub (Multiset Nat.Primes))
namespace PrimeMultiset
-- `@[derive]` doesn't work for `meta` instances
unsafe instance : Repr PrimeMultiset := by delta PrimeMultiset; infer_instance
/-- The multiset consisting of a single prime -/
def ofPrime (p : Nat.Primes) : PrimeMultiset :=
({p} : Multiset Nat.Primes)
theorem card_ofPrime (p : Nat.Primes) : Multiset.card (ofPrime p) = 1 :=
rfl
/-- We can forget the primality property and regard a multiset
of primes as just a multiset of positive integers, or a multiset
of natural numbers. In the opposite direction, if we have a
multiset of positive integers or natural numbers, together with
a proof that all the elements are prime, then we can regard it
as a multiset of primes. The next block of results records
obvious properties of these coercions.
-/
def toNatMultiset : PrimeMultiset → Multiset ℕ := fun v => v.map (↑)
instance coeNat : Coe PrimeMultiset (Multiset ℕ) :=
⟨toNatMultiset⟩
/-- `PrimeMultiset.coe`, the coercion from a multiset of primes to a multiset of
naturals, promoted to an `AddMonoidHom`. -/
def coeNatMonoidHom : PrimeMultiset →+ Multiset ℕ :=
Multiset.mapAddMonoidHom (↑)
@[simp]
theorem coe_coeNatMonoidHom : (coeNatMonoidHom : PrimeMultiset → Multiset ℕ) = (↑) :=
rfl
theorem coeNat_injective : Function.Injective ((↑) : PrimeMultiset → Multiset ℕ) :=
Multiset.map_injective Nat.Primes.coe_nat_injective
theorem coeNat_ofPrime (p : Nat.Primes) : (ofPrime p : Multiset ℕ) = {(p : ℕ)} :=
rfl
theorem coeNat_prime (v : PrimeMultiset) (p : ℕ) (h : p ∈ (v : Multiset ℕ)) : p.Prime := by
rcases Multiset.mem_map.mp h with ⟨⟨_, hp'⟩, ⟨_, h_eq⟩⟩
exact h_eq ▸ hp'
/-- Converts a `PrimeMultiset` to a `Multiset ℕ+`. -/
def toPNatMultiset : PrimeMultiset → Multiset ℕ+ := fun v => v.map (↑)
instance coePNat : Coe PrimeMultiset (Multiset ℕ+) :=
⟨toPNatMultiset⟩
/-- `coePNat`, the coercion from a multiset of primes to a multiset of positive
naturals, regarded as an `AddMonoidHom`. -/
def coePNatMonoidHom : PrimeMultiset →+ Multiset ℕ+ :=
Multiset.mapAddMonoidHom (↑)
@[simp]
theorem coe_coePNatMonoidHom : (coePNatMonoidHom : PrimeMultiset → Multiset ℕ+) = (↑) :=
rfl
theorem coePNat_injective : Function.Injective ((↑) : PrimeMultiset → Multiset ℕ+) :=
Multiset.map_injective Nat.Primes.coe_pnat_injective
theorem coePNat_ofPrime (p : Nat.Primes) : (ofPrime p : Multiset ℕ+) = {(p : ℕ+)} :=
rfl
theorem coePNat_prime (v : PrimeMultiset) (p : ℕ+) (h : p ∈ (v : Multiset ℕ+)) : p.Prime := by
rcases Multiset.mem_map.mp h with ⟨⟨_, hp'⟩, ⟨_, h_eq⟩⟩
exact h_eq ▸ hp'
instance coeMultisetPNatNat : Coe (Multiset ℕ+) (Multiset ℕ) :=
⟨fun v => v.map (↑)⟩
theorem coePNat_nat (v : PrimeMultiset) : ((v : Multiset ℕ+) : Multiset ℕ) = (v : Multiset ℕ) := by
change (v.map ((↑) : Nat.Primes → ℕ+)).map Subtype.val = v.map Subtype.val
rw [Multiset.map_map]
congr
/-- The product of a `PrimeMultiset`, as a `ℕ+`. -/
def prod (v : PrimeMultiset) : ℕ+ :=
(v : Multiset PNat).prod
theorem coe_prod (v : PrimeMultiset) : (v.prod : ℕ) = (v : Multiset ℕ).prod := by
have h : (v.prod : ℕ) = ((v.map (↑) : Multiset ℕ+).map (↑)).prod :=
PNat.coeMonoidHom.map_multiset_prod v.toPNatMultiset
| simpa [Multiset.map_map] using h
theorem prod_ofPrime (p : Nat.Primes) : (ofPrime p).prod = (p : ℕ+) :=
Multiset.prod_singleton _
| Mathlib/Data/PNat/Factors.lean | 130 | 133 |
/-
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, Kim Morrison
-/
import Mathlib.Algebra.Algebra.Equiv
import Mathlib.Algebra.Algebra.NonUnitalHom
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Algebra.MonoidAlgebra.MapDomain
import Mathlib.Data.Finsupp.SMul
import Mathlib.LinearAlgebra.Finsupp.SumProd
/-!
# Monoid algebras
-/
noncomputable section
open Finset
open Finsupp hiding single mapDomain
universe u₁ u₂ u₃ u₄
variable (k : Type u₁) (G : Type u₂) (H : Type*) {R : Type*}
/-! ### Multiplicative monoids -/
namespace MonoidAlgebra
variable {k G}
/-! #### Non-unital, non-associative algebra structure -/
section NonUnitalNonAssocAlgebra
variable (k) [Semiring k] [DistribSMul R k] [Mul G]
variable {A : Type u₃} [NonUnitalNonAssocSemiring A]
/-- A non_unital `k`-algebra homomorphism from `MonoidAlgebra k G` is uniquely defined by its
values on the functions `single a 1`. -/
theorem nonUnitalAlgHom_ext [DistribMulAction k A] {φ₁ φ₂ : MonoidAlgebra k G →ₙₐ[k] A}
(h : ∀ x, φ₁ (single x 1) = φ₂ (single x 1)) : φ₁ = φ₂ :=
NonUnitalAlgHom.to_distribMulActionHom_injective <|
Finsupp.distribMulActionHom_ext' fun a => DistribMulActionHom.ext_ring (h a)
/-- See note [partially-applied ext lemmas]. -/
@[ext high]
theorem nonUnitalAlgHom_ext' [DistribMulAction k A] {φ₁ φ₂ : MonoidAlgebra k G →ₙₐ[k] A}
(h : φ₁.toMulHom.comp (ofMagma k G) = φ₂.toMulHom.comp (ofMagma k G)) : φ₁ = φ₂ :=
nonUnitalAlgHom_ext k <| DFunLike.congr_fun h
/-- The functor `G ↦ MonoidAlgebra k G`, from the category of magmas to the category of non-unital,
non-associative algebras over `k` is adjoint to the forgetful functor in the other direction. -/
@[simps apply_apply symm_apply]
def liftMagma [Module k A] [IsScalarTower k A A] [SMulCommClass k A A] :
(G →ₙ* A) ≃ (MonoidAlgebra k G →ₙₐ[k] A) where
toFun f :=
{ liftAddHom fun x => (smulAddHom k A).flip (f x) with
toFun := fun a => a.sum fun m t => t • f m
map_smul' := fun t' a => by
rw [Finsupp.smul_sum, sum_smul_index']
· simp_rw [smul_assoc, MonoidHom.id_apply]
· intro m
exact zero_smul k (f m)
map_mul' := fun a₁ a₂ => by
let g : G → k → A := fun m t => t • f m
have h₁ : ∀ m, g m 0 = 0 := by
intro m
exact zero_smul k (f m)
have h₂ : ∀ (m) (t₁ t₂ : k), g m (t₁ + t₂) = g m t₁ + g m t₂ := by
intros
rw [← add_smul]
-- Porting note: `reducible` cannot be `local` so proof gets long.
simp_rw [Finsupp.mul_sum, Finsupp.sum_mul, smul_mul_smul_comm, ← f.map_mul, mul_def,
sum_comm a₂ a₁]
rw [sum_sum_index h₁ h₂]; congr; ext
rw [sum_sum_index h₁ h₂]; congr; ext
rw [sum_single_index (h₁ _)] }
invFun F := F.toMulHom.comp (ofMagma k G)
left_inv f := by
ext m
simp only [NonUnitalAlgHom.coe_mk, ofMagma_apply, NonUnitalAlgHom.toMulHom_eq_coe,
sum_single_index, Function.comp_apply, one_smul, zero_smul, MulHom.coe_comp,
NonUnitalAlgHom.coe_to_mulHom]
right_inv F := by
ext m
simp only [NonUnitalAlgHom.coe_mk, ofMagma_apply, NonUnitalAlgHom.toMulHom_eq_coe,
sum_single_index, Function.comp_apply, one_smul, zero_smul, MulHom.coe_comp,
NonUnitalAlgHom.coe_to_mulHom]
end NonUnitalNonAssocAlgebra
/-! #### Algebra structure -/
section Algebra
/-- The instance `Algebra k (MonoidAlgebra A G)` whenever we have `Algebra k A`.
In particular this provides the instance `Algebra k (MonoidAlgebra k G)`.
-/
instance algebra {A : Type*} [CommSemiring k] [Semiring A] [Algebra k A] [Monoid G] :
Algebra k (MonoidAlgebra A G) where
algebraMap := singleOneRingHom.comp (algebraMap k A)
smul_def' := fun r a => by
ext
rw [Finsupp.coe_smul]
simp [single_one_mul_apply, Algebra.smul_def, Pi.smul_apply]
commutes' := fun r f => by
refine Finsupp.ext fun _ => ?_
simp [single_one_mul_apply, mul_single_one_apply, Algebra.commutes]
/-- `Finsupp.single 1` as an `AlgHom` -/
@[simps! apply]
def singleOneAlgHom {A : Type*} [CommSemiring k] [Semiring A] [Algebra k A] [Monoid G] :
A →ₐ[k] MonoidAlgebra A G :=
{ singleOneRingHom with
commutes' := fun r => by
ext
simp
rfl }
@[simp]
theorem coe_algebraMap {A : Type*} [CommSemiring k] [Semiring A] [Algebra k A] [Monoid G] :
⇑(algebraMap k (MonoidAlgebra A G)) = single 1 ∘ algebraMap k A :=
rfl
theorem single_eq_algebraMap_mul_of [CommSemiring k] [Monoid G] (a : G) (b : k) :
single a b = algebraMap k (MonoidAlgebra k G) b * of k G a := by simp
theorem single_algebraMap_eq_algebraMap_mul_of {A : Type*} [CommSemiring k] [Semiring A]
[Algebra k A] [Monoid G] (a : G) (b : k) :
single a (algebraMap k A b) = algebraMap k (MonoidAlgebra A G) b * of A G a := by simp
instance isLocalHom_singleOneAlgHom
{A : Type*} [CommSemiring k] [Semiring A] [Algebra k A] [Monoid G] :
IsLocalHom (singleOneAlgHom : A →ₐ[k] MonoidAlgebra A G) where
map_nonunit := isLocalHom_singleOneRingHom.map_nonunit
instance isLocalHom_algebraMap
{A : Type*} [CommSemiring k] [Semiring A] [Algebra k A] [Monoid G]
[IsLocalHom (algebraMap k A)] :
IsLocalHom (algebraMap k (MonoidAlgebra A G)) where
map_nonunit _ hx := .of_map _ _ <| isLocalHom_singleOneAlgHom (k := k).map_nonunit _ hx
end Algebra
section lift
variable [CommSemiring k] [Monoid G] [Monoid H]
variable {A : Type u₃} [Semiring A] [Algebra k A] {B : Type*} [Semiring B] [Algebra k B]
/-- `liftNCRingHom` as an `AlgHom`, for when `f` is an `AlgHom` -/
def liftNCAlgHom (f : A →ₐ[k] B) (g : G →* B) (h_comm : ∀ x y, Commute (f x) (g y)) :
MonoidAlgebra A G →ₐ[k] B :=
{ liftNCRingHom (f : A →+* B) g h_comm with
commutes' := by simp [liftNCRingHom] }
/-- A `k`-algebra homomorphism from `MonoidAlgebra k G` is uniquely defined by its
values on the functions `single a 1`. -/
theorem algHom_ext ⦃φ₁ φ₂ : MonoidAlgebra k G →ₐ[k] A⦄
(h : ∀ x, φ₁ (single x 1) = φ₂ (single x 1)) : φ₁ = φ₂ :=
AlgHom.toLinearMap_injective <| Finsupp.lhom_ext' fun a => LinearMap.ext_ring (h a)
-- The priority must be `high`.
/-- See note [partially-applied ext lemmas]. -/
@[ext high]
theorem algHom_ext' ⦃φ₁ φ₂ : MonoidAlgebra k G →ₐ[k] A⦄
(h :
(φ₁ : MonoidAlgebra k G →* A).comp (of k G) = (φ₂ : MonoidAlgebra k G →* A).comp (of k G)) :
φ₁ = φ₂ :=
algHom_ext <| DFunLike.congr_fun h
variable (k G A)
/-- Any monoid homomorphism `G →* A` can be lifted to an algebra homomorphism
`MonoidAlgebra k G →ₐ[k] A`. -/
def lift : (G →* A) ≃ (MonoidAlgebra k G →ₐ[k] A) where
invFun f := (f : MonoidAlgebra k G →* A).comp (of k G)
toFun F := liftNCAlgHom (Algebra.ofId k A) F fun _ _ => Algebra.commutes _ _
left_inv f := by
ext
simp [liftNCAlgHom, liftNCRingHom]
right_inv F := by
ext
simp [liftNCAlgHom, liftNCRingHom]
variable {k G H A}
theorem lift_apply' (F : G →* A) (f : MonoidAlgebra k G) :
lift k G A F f = f.sum fun a b => algebraMap k A b * F a :=
rfl
theorem lift_apply (F : G →* A) (f : MonoidAlgebra k G) :
lift k G A F f = f.sum fun a b => b • F a := by simp only [lift_apply', Algebra.smul_def]
theorem lift_def (F : G →* A) : ⇑(lift k G A F) = liftNC ((algebraMap k A : k →+* A) : k →+ A) F :=
rfl
@[simp]
theorem lift_symm_apply (F : MonoidAlgebra k G →ₐ[k] A) (x : G) :
(lift k G A).symm F x = F (single x 1) :=
rfl
@[simp]
theorem lift_single (F : G →* A) (a b) : lift k G A F (single a b) = b • F a := by
rw [lift_def, liftNC_single, Algebra.smul_def, AddMonoidHom.coe_coe]
theorem lift_of (F : G →* A) (x) : lift k G A F (of k G x) = F x := by simp
theorem lift_unique' (F : MonoidAlgebra k G →ₐ[k] A) :
F = lift k G A ((F : MonoidAlgebra k G →* A).comp (of k G)) :=
((lift k G A).apply_symm_apply F).symm
/-- Decomposition of a `k`-algebra homomorphism from `MonoidAlgebra k G` by
its values on `F (single a 1)`. -/
theorem lift_unique (F : MonoidAlgebra k G →ₐ[k] A) (f : MonoidAlgebra k G) :
F f = f.sum fun a b => b • F (single a 1) := by
conv_lhs =>
rw [lift_unique' F]
simp [lift_apply]
/-- If `f : G → H` is a homomorphism between two magmas, then
`Finsupp.mapDomain f` is a non-unital algebra homomorphism between their magma algebras. -/
@[simps apply]
def mapDomainNonUnitalAlgHom (k A : Type*) [CommSemiring k] [Semiring A] [Algebra k A]
{G H F : Type*} [Mul G] [Mul H] [FunLike F G H] [MulHomClass F G H] (f : F) :
MonoidAlgebra A G →ₙₐ[k] MonoidAlgebra A H :=
{ (Finsupp.mapDomain.addMonoidHom f : MonoidAlgebra A G →+ MonoidAlgebra A H) with
map_mul' := fun x y => mapDomain_mul f x y
map_smul' := fun r x => mapDomain_smul r x }
variable (A) in
theorem mapDomain_algebraMap {F : Type*} [FunLike F G H] [MonoidHomClass F G H] (f : F) (r : k) :
mapDomain f (algebraMap k (MonoidAlgebra A G) r) = algebraMap k (MonoidAlgebra A H) r := by
simp only [coe_algebraMap, mapDomain_single, map_one, (· ∘ ·)]
/-- If `f : G → H` is a multiplicative homomorphism between two monoids, then
`Finsupp.mapDomain f` is an algebra homomorphism between their monoid algebras. -/
@[simps!]
def mapDomainAlgHom (k A : Type*) [CommSemiring k] [Semiring A] [Algebra k A] {H F : Type*}
[Monoid H] [FunLike F G H] [MonoidHomClass F G H] (f : F) :
MonoidAlgebra A G →ₐ[k] MonoidAlgebra A H :=
{ mapDomainRingHom A f with commutes' := mapDomain_algebraMap A f }
@[simp]
lemma mapDomainAlgHom_id (k A) [CommSemiring k] [Semiring A] [Algebra k A] :
mapDomainAlgHom k A (MonoidHom.id G) = AlgHom.id k (MonoidAlgebra A G) := by
ext; simp [MonoidHom.id, ← Function.id_def]
@[simp]
lemma mapDomainAlgHom_comp (k A) {G₁ G₂ G₃} [CommSemiring k] [Semiring A] [Algebra k A]
[Monoid G₁] [Monoid G₂] [Monoid G₃] (f : G₁ →* G₂) (g : G₂ →* G₃) :
mapDomainAlgHom k A (g.comp f) = (mapDomainAlgHom k A g).comp (mapDomainAlgHom k A f) := by
ext; simp [mapDomain_comp]
variable (k A)
/-- If `e : G ≃* H` is a multiplicative equivalence between two monoids, then
`MonoidAlgebra.domCongr e` is an algebra equivalence between their monoid algebras. -/
def domCongr (e : G ≃* H) : MonoidAlgebra A G ≃ₐ[k] MonoidAlgebra A H :=
AlgEquiv.ofLinearEquiv
(Finsupp.domLCongr e : (G →₀ A) ≃ₗ[k] (H →₀ A))
((equivMapDomain_eq_mapDomain _ _).trans <| mapDomain_one e)
(fun f g => (equivMapDomain_eq_mapDomain _ _).trans <| (mapDomain_mul e f g).trans <|
congr_arg₂ _ (equivMapDomain_eq_mapDomain _ _).symm (equivMapDomain_eq_mapDomain _ _).symm)
theorem domCongr_toAlgHom (e : G ≃* H) : (domCongr k A e).toAlgHom = mapDomainAlgHom k A e :=
AlgHom.ext fun _ => equivMapDomain_eq_mapDomain _ _
@[simp] theorem domCongr_apply (e : G ≃* H) (f : MonoidAlgebra A G) (h : H) :
domCongr k A e f h = f (e.symm h) :=
rfl
@[simp] theorem domCongr_support (e : G ≃* H) (f : MonoidAlgebra A G) :
(domCongr k A e f).support = f.support.map e :=
rfl
@[simp] theorem domCongr_single (e : G ≃* H) (g : G) (a : A) :
domCongr k A e (single g a) = single (e g) a :=
Finsupp.equivMapDomain_single _ _ _
@[simp] theorem domCongr_refl : domCongr k A (MulEquiv.refl G) = AlgEquiv.refl :=
AlgEquiv.ext fun _ => Finsupp.ext fun _ => rfl
@[simp] theorem domCongr_symm (e : G ≃* H) : (domCongr k A e).symm = domCongr k A e.symm := rfl
end lift
section
variable (k)
/-- When `V` is a `k[G]`-module, multiplication by a group element `g` is a `k`-linear map. -/
def GroupSMul.linearMap [Monoid G] [CommSemiring k] (V : Type u₃) [AddCommMonoid V] [Module k V]
[Module (MonoidAlgebra k G) V] [IsScalarTower k (MonoidAlgebra k G) V] (g : G) : V →ₗ[k] V where
toFun v := single g (1 : k) • v
map_add' x y := smul_add (single g (1 : k)) x y
map_smul' _c _x := smul_algebra_smul_comm _ _ _
@[simp]
theorem GroupSMul.linearMap_apply [Monoid G] [CommSemiring k] (V : Type u₃) [AddCommMonoid V]
[Module k V] [Module (MonoidAlgebra k G) V] [IsScalarTower k (MonoidAlgebra k G) V] (g : G)
(v : V) : (GroupSMul.linearMap k V g) v = single g (1 : k) • v :=
rfl
section
variable {k}
variable [Monoid G] [CommSemiring k] {V : Type u₃} {W : Type u₄} [AddCommMonoid V] [Module k V]
[Module (MonoidAlgebra k G) V] [IsScalarTower k (MonoidAlgebra k G) V] [AddCommMonoid W]
[Module k W] [Module (MonoidAlgebra k G) W] [IsScalarTower k (MonoidAlgebra k G) W]
(f : V →ₗ[k] W)
/-- Build a `k[G]`-linear map from a `k`-linear map and evidence that it is `G`-equivariant. -/
def equivariantOfLinearOfComm
(h : ∀ (g : G) (v : V), f (single g (1 : k) • v) = single g (1 : k) • f v) :
V →ₗ[MonoidAlgebra k G] W where
toFun := f
map_add' v v' := by simp
map_smul' c v := by
refine Finsupp.induction c ?_ ?_
· simp
· intro g r c' _nm _nz w
dsimp at *
simp only [add_smul, f.map_add, w, add_left_inj, single_eq_algebraMap_mul_of, ← smul_smul]
rw [algebraMap_smul (MonoidAlgebra k G) r, algebraMap_smul (MonoidAlgebra k G) r, f.map_smul,
of_apply, h g v]
variable (h : ∀ (g : G) (v : V), f (single g (1 : k) • v) = single g (1 : k) • f v)
@[simp]
theorem equivariantOfLinearOfComm_apply (v : V) : (equivariantOfLinearOfComm f h) v = f v :=
rfl
end
end
end MonoidAlgebra
namespace AddMonoidAlgebra
variable {k G H}
/-! #### Non-unital, non-associative algebra structure -/
section NonUnitalNonAssocAlgebra
variable (k) [Semiring k] [DistribSMul R k] [Add G]
variable {A : Type u₃} [NonUnitalNonAssocSemiring A]
/-- A non_unital `k`-algebra homomorphism from `k[G]` is uniquely defined by its
values on the functions `single a 1`. -/
theorem nonUnitalAlgHom_ext [DistribMulAction k A] {φ₁ φ₂ : k[G] →ₙₐ[k] A}
(h : ∀ x, φ₁ (single x 1) = φ₂ (single x 1)) : φ₁ = φ₂ :=
@MonoidAlgebra.nonUnitalAlgHom_ext k (Multiplicative G) _ _ _ _ _ φ₁ φ₂ h
/-- See note [partially-applied ext lemmas]. -/
@[ext high]
theorem nonUnitalAlgHom_ext' [DistribMulAction k A] {φ₁ φ₂ : k[G] →ₙₐ[k] A}
(h : φ₁.toMulHom.comp (ofMagma k G) = φ₂.toMulHom.comp (ofMagma k G)) : φ₁ = φ₂ :=
@MonoidAlgebra.nonUnitalAlgHom_ext' k (Multiplicative G) _ _ _ _ _ φ₁ φ₂ h
/-- The functor `G ↦ k[G]`, from the category of magmas to the category of
non-unital, non-associative algebras over `k` is adjoint to the forgetful functor in the other
direction. -/
@[simps apply_apply symm_apply]
def liftMagma [Module k A] [IsScalarTower k A A] [SMulCommClass k A A] :
(Multiplicative G →ₙ* A) ≃ (k[G] →ₙₐ[k] A) :=
{ (MonoidAlgebra.liftMagma k : (Multiplicative G →ₙ* A) ≃ (_ →ₙₐ[k] A)) with
toFun := fun f =>
{ (MonoidAlgebra.liftMagma k f :) with
toFun := fun a => sum a fun m t => t • f (Multiplicative.ofAdd m) }
invFun := fun F => F.toMulHom.comp (ofMagma k G) }
end NonUnitalNonAssocAlgebra
/-! #### Algebra structure -/
section Algebra
/-- The instance `Algebra R k[G]` whenever we have `Algebra R k`.
In particular this provides the instance `Algebra k k[G]`.
-/
instance algebra [CommSemiring R] [Semiring k] [Algebra R k] [AddMonoid G] :
Algebra R k[G] where
algebraMap := singleZeroRingHom.comp (algebraMap R k)
smul_def' := fun r a => by
ext
rw [Finsupp.coe_smul]
simp [single_zero_mul_apply, Algebra.smul_def, Pi.smul_apply]
commutes' := fun r f => by
refine Finsupp.ext fun _ => ?_
simp [single_zero_mul_apply, mul_single_zero_apply, Algebra.commutes]
/-- `Finsupp.single 0` as an `AlgHom` -/
@[simps! apply]
def singleZeroAlgHom [CommSemiring R] [Semiring k] [Algebra R k] [AddMonoid G] : k →ₐ[R] k[G] :=
{ singleZeroRingHom with
commutes' := fun r => by
ext
simp
rfl }
@[simp]
theorem coe_algebraMap [CommSemiring R] [Semiring k] [Algebra R k] [AddMonoid G] :
(algebraMap R k[G] : R → k[G]) = single 0 ∘ algebraMap R k :=
rfl
instance isLocalHom_singleZeroAlgHom [CommSemiring R] [Semiring k] [Algebra R k] [AddMonoid G] :
IsLocalHom (singleZeroAlgHom : k →ₐ[R] k[G]) where
map_nonunit := isLocalHom_singleZeroRingHom.map_nonunit
instance isLocalHom_algebraMap [CommSemiring R] [Semiring k] [Algebra R k] [AddMonoid G]
[IsLocalHom (algebraMap R k)] :
IsLocalHom (algebraMap R k[G]) where
map_nonunit _ hx := .of_map _ _ <| isLocalHom_singleZeroAlgHom (R := R).map_nonunit _ hx
end Algebra
section lift
variable [CommSemiring k] [AddMonoid G]
variable {A : Type u₃} [Semiring A] [Algebra k A] {B : Type*} [Semiring B] [Algebra k B]
/-- `liftNCRingHom` as an `AlgHom`, for when `f` is an `AlgHom` -/
def liftNCAlgHom (f : A →ₐ[k] B) (g : Multiplicative G →* B) (h_comm : ∀ x y, Commute (f x) (g y)) :
A[G] →ₐ[k] B :=
{ liftNCRingHom (f : A →+* B) g h_comm with
commutes' := by simp [liftNCRingHom] }
/-- A `k`-algebra homomorphism from `k[G]` is uniquely defined by its
values on the functions `single a 1`. -/
theorem algHom_ext ⦃φ₁ φ₂ : k[G] →ₐ[k] A⦄
(h : ∀ x, φ₁ (single x 1) = φ₂ (single x 1)) : φ₁ = φ₂ :=
@MonoidAlgebra.algHom_ext k (Multiplicative G) _ _ _ _ _ _ _ h
/-- See note [partially-applied ext lemmas]. -/
@[ext high]
theorem algHom_ext' ⦃φ₁ φ₂ : k[G] →ₐ[k] A⦄
(h : (φ₁ : k[G] →* A).comp (of k G) = (φ₂ : k[G] →* A).comp (of k G)) :
φ₁ = φ₂ :=
algHom_ext <| DFunLike.congr_fun h
variable (k G A)
/-- Any monoid homomorphism `G →* A` can be lifted to an algebra homomorphism
`k[G] →ₐ[k] A`. -/
def lift : (Multiplicative G →* A) ≃ (k[G] →ₐ[k] A) :=
{ @MonoidAlgebra.lift k (Multiplicative G) _ _ A _ _ with
invFun := fun f => (f : k[G] →* A).comp (of k G)
toFun := fun F =>
{ @MonoidAlgebra.lift k (Multiplicative G) _ _ A _ _ F with
toFun := liftNCAlgHom (Algebra.ofId k A) F fun _ _ => Algebra.commutes _ _ } }
variable {k G A}
theorem lift_apply' (F : Multiplicative G →* A) (f : MonoidAlgebra k G) :
lift k G A F f = f.sum fun a b => algebraMap k A b * F (Multiplicative.ofAdd a) :=
rfl
theorem lift_apply (F : Multiplicative G →* A) (f : MonoidAlgebra k G) :
lift k G A F f = f.sum fun a b => b • F (Multiplicative.ofAdd a) := by
simp only [lift_apply', Algebra.smul_def]
theorem lift_def (F : Multiplicative G →* A) :
⇑(lift k G A F) = liftNC ((algebraMap k A : k →+* A) : k →+ A) F :=
rfl
@[simp]
theorem lift_symm_apply (F : k[G] →ₐ[k] A) (x : Multiplicative G) :
(lift k G A).symm F x = F (single x.toAdd 1) :=
rfl
theorem lift_of (F : Multiplicative G →* A) (x : Multiplicative G) :
lift k G A F (of k G x) = F x := MonoidAlgebra.lift_of F x
@[simp]
theorem lift_single (F : Multiplicative G →* A) (a b) :
lift k G A F (single a b) = b • F (Multiplicative.ofAdd a) :=
MonoidAlgebra.lift_single F (.ofAdd a) b
lemma lift_of' (F : Multiplicative G →* A) (x : G) :
lift k G A F (of' k G x) = F (Multiplicative.ofAdd x) :=
lift_of F x
theorem lift_unique' (F : k[G] →ₐ[k] A) :
F = lift k G A ((F : k[G] →* A).comp (of k G)) :=
((lift k G A).apply_symm_apply F).symm
/-- Decomposition of a `k`-algebra homomorphism from `MonoidAlgebra k G` by
its values on `F (single a 1)`. -/
theorem lift_unique (F : k[G] →ₐ[k] A) (f : MonoidAlgebra k G) :
F f = f.sum fun a b => b • F (single a 1) := by
conv_lhs =>
rw [lift_unique' F]
simp [lift_apply]
theorem algHom_ext_iff {φ₁ φ₂ : k[G] →ₐ[k] A} :
(∀ x, φ₁ (Finsupp.single x 1) = φ₂ (Finsupp.single x 1)) ↔ φ₁ = φ₂ :=
⟨fun h => algHom_ext h, by rintro rfl _; rfl⟩
end lift
theorem mapDomain_algebraMap (A : Type*) {H F : Type*} [CommSemiring k] [Semiring A] [Algebra k A]
[AddMonoid G] [AddMonoid H] [FunLike F G H] [AddMonoidHomClass F G H]
(f : F) (r : k) :
mapDomain f (algebraMap k A[G] r) = algebraMap k A[H] r := by
simp only [Function.comp_apply, mapDomain_single, AddMonoidAlgebra.coe_algebraMap, map_zero]
/-- If `f : G → H` is a homomorphism between two additive magmas, then `Finsupp.mapDomain f` is a
non-unital algebra homomorphism between their additive magma algebras. -/
@[simps apply]
def mapDomainNonUnitalAlgHom (k A : Type*) [CommSemiring k] [Semiring A] [Algebra k A]
{G H F : Type*} [Add G] [Add H] [FunLike F G H] [AddHomClass F G H] (f : F) :
A[G] →ₙₐ[k] A[H] :=
{ (Finsupp.mapDomain.addMonoidHom f : MonoidAlgebra A G →+ MonoidAlgebra A H) with
map_mul' := fun x y => mapDomain_mul f x y
map_smul' := fun r x => mapDomain_smul r x }
/-- If `f : G → H` is an additive homomorphism between two additive monoids, then
`Finsupp.mapDomain f` is an algebra homomorphism between their add monoid algebras. -/
@[simps!]
def mapDomainAlgHom (k A : Type*) [CommSemiring k] [Semiring A] [Algebra k A] [AddMonoid G]
{H F : Type*} [AddMonoid H] [FunLike F G H] [AddMonoidHomClass F G H] (f : F) :
A[G] →ₐ[k] A[H] :=
{ mapDomainRingHom A f with commutes' := mapDomain_algebraMap A f }
@[simp]
lemma mapDomainAlgHom_id (k A) [CommSemiring k] [Semiring A] [Algebra k A] [AddMonoid G] :
mapDomainAlgHom k A (AddMonoidHom.id G) = AlgHom.id k (AddMonoidAlgebra A G) := by
ext; simp [AddMonoidHom.id, ← Function.id_def]
@[simp]
lemma mapDomainAlgHom_comp (k A) {G₁ G₂ G₃} [CommSemiring k] [Semiring A] [Algebra k A]
[AddMonoid G₁] [AddMonoid G₂] [AddMonoid G₃] (f : G₁ →+ G₂) (g : G₂ →+ G₃) :
mapDomainAlgHom k A (g.comp f) = (mapDomainAlgHom k A g).comp (mapDomainAlgHom k A f) := by
ext; simp [mapDomain_comp]
variable (k A)
variable [CommSemiring k] [AddMonoid G] [AddMonoid H] [Semiring A] [Algebra k A]
/-- If `e : G ≃* H` is a multiplicative equivalence between two monoids, then
`AddMonoidAlgebra.domCongr e` is an algebra equivalence between their monoid algebras. -/
def domCongr (e : G ≃+ H) : A[G] ≃ₐ[k] A[H] :=
AlgEquiv.ofLinearEquiv
(Finsupp.domLCongr e : (G →₀ A) ≃ₗ[k] (H →₀ A))
((equivMapDomain_eq_mapDomain _ _).trans <| mapDomain_one e)
(fun f g => (equivMapDomain_eq_mapDomain _ _).trans <| (mapDomain_mul e f g).trans <|
congr_arg₂ _ (equivMapDomain_eq_mapDomain _ _).symm (equivMapDomain_eq_mapDomain _ _).symm)
theorem domCongr_toAlgHom (e : G ≃+ H) : (domCongr k A e).toAlgHom = mapDomainAlgHom k A e :=
AlgHom.ext fun _ => equivMapDomain_eq_mapDomain _ _
@[simp] theorem domCongr_apply (e : G ≃+ H) (f : MonoidAlgebra A G) (h : H) :
domCongr k A e f h = f (e.symm h) :=
rfl
@[simp] theorem domCongr_support (e : G ≃+ H) (f : MonoidAlgebra A G) :
(domCongr k A e f).support = f.support.map e :=
rfl
@[simp] theorem domCongr_single (e : G ≃+ H) (g : G) (a : A) :
domCongr k A e (single g a) = single (e g) a :=
Finsupp.equivMapDomain_single _ _ _
@[simp] theorem domCongr_refl : domCongr k A (AddEquiv.refl G) = AlgEquiv.refl :=
AlgEquiv.ext fun _ => Finsupp.ext fun _ => rfl
@[simp] theorem domCongr_symm (e : G ≃+ H) : (domCongr k A e).symm = domCongr k A e.symm := rfl
end AddMonoidAlgebra
variable [CommSemiring R]
/-- The algebra equivalence between `AddMonoidAlgebra` and `MonoidAlgebra` in terms of
`Multiplicative`. -/
def AddMonoidAlgebra.toMultiplicativeAlgEquiv [Semiring k] [Algebra R k] [AddMonoid G] :
AddMonoidAlgebra k G ≃ₐ[R] MonoidAlgebra k (Multiplicative G) :=
{ AddMonoidAlgebra.toMultiplicative k G with
commutes' := fun r => by simp [AddMonoidAlgebra.toMultiplicative] }
/-- The algebra equivalence between `MonoidAlgebra` and `AddMonoidAlgebra` in terms of
`Additive`. -/
def MonoidAlgebra.toAdditiveAlgEquiv [Semiring k] [Algebra R k] [Monoid G] :
MonoidAlgebra k G ≃ₐ[R] AddMonoidAlgebra k (Additive G) :=
{ MonoidAlgebra.toAdditive k G with commutes' := fun r => by simp [MonoidAlgebra.toAdditive] }
| Mathlib/Algebra/MonoidAlgebra/Basic.lean | 2,092 | 2,095 | |
/-
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, Jean Lo, Calle Sönne, Sébastien Gouëzel,
Rémy Degenne, David Loeffler
-/
import Mathlib.Analysis.SpecialFunctions.Pow.Real
/-!
# Power function on `ℝ≥0` and `ℝ≥0∞`
We construct the power functions `x ^ y` where
* `x` is a nonnegative real number and `y` is a real number;
* `x` is a number from `[0, +∞]` (a.k.a. `ℝ≥0∞`) and `y` is a real number.
We also prove basic properties of these functions.
-/
noncomputable section
open Real NNReal ENNReal ComplexConjugate Finset Function Set
namespace NNReal
variable {x : ℝ≥0} {w y z : ℝ}
/-- The nonnegative real power function `x^y`, defined for `x : ℝ≥0` and `y : ℝ` as the
restriction of the real power function. For `x > 0`, it is equal to `exp (y log x)`. For `x = 0`,
one sets `0 ^ 0 = 1` and `0 ^ y = 0` for `y ≠ 0`. -/
noncomputable def rpow (x : ℝ≥0) (y : ℝ) : ℝ≥0 :=
⟨(x : ℝ) ^ y, Real.rpow_nonneg x.2 y⟩
noncomputable instance : Pow ℝ≥0 ℝ :=
⟨rpow⟩
@[simp]
theorem rpow_eq_pow (x : ℝ≥0) (y : ℝ) : rpow x y = x ^ y :=
rfl
@[simp, norm_cast]
theorem coe_rpow (x : ℝ≥0) (y : ℝ) : ((x ^ y : ℝ≥0) : ℝ) = (x : ℝ) ^ y :=
rfl
@[simp]
theorem rpow_zero (x : ℝ≥0) : x ^ (0 : ℝ) = 1 :=
NNReal.eq <| Real.rpow_zero _
@[simp]
theorem rpow_eq_zero_iff {x : ℝ≥0} {y : ℝ} : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by
rw [← NNReal.coe_inj, coe_rpow, ← NNReal.coe_eq_zero]
exact Real.rpow_eq_zero_iff_of_nonneg x.2
lemma rpow_eq_zero (hy : y ≠ 0) : x ^ y = 0 ↔ x = 0 := by simp [hy]
@[simp]
theorem zero_rpow {x : ℝ} (h : x ≠ 0) : (0 : ℝ≥0) ^ x = 0 :=
NNReal.eq <| Real.zero_rpow h
@[simp]
theorem rpow_one (x : ℝ≥0) : x ^ (1 : ℝ) = x :=
NNReal.eq <| Real.rpow_one _
lemma rpow_neg (x : ℝ≥0) (y : ℝ) : x ^ (-y) = (x ^ y)⁻¹ :=
NNReal.eq <| Real.rpow_neg x.2 _
@[simp, norm_cast]
lemma rpow_natCast (x : ℝ≥0) (n : ℕ) : x ^ (n : ℝ) = x ^ n :=
NNReal.eq <| by simpa only [coe_rpow, coe_pow] using Real.rpow_natCast x n
@[simp, norm_cast]
lemma rpow_intCast (x : ℝ≥0) (n : ℤ) : x ^ (n : ℝ) = x ^ n := by
cases n <;> simp only [Int.ofNat_eq_coe, Int.cast_natCast, rpow_natCast, zpow_natCast,
Int.cast_negSucc, rpow_neg, zpow_negSucc]
@[simp]
theorem one_rpow (x : ℝ) : (1 : ℝ≥0) ^ x = 1 :=
NNReal.eq <| Real.one_rpow _
theorem rpow_add {x : ℝ≥0} (hx : x ≠ 0) (y z : ℝ) : x ^ (y + z) = x ^ y * x ^ z :=
NNReal.eq <| Real.rpow_add ((NNReal.coe_pos.trans pos_iff_ne_zero).mpr hx) _ _
theorem rpow_add' (h : y + z ≠ 0) (x : ℝ≥0) : x ^ (y + z) = x ^ y * x ^ z :=
NNReal.eq <| Real.rpow_add' x.2 h
lemma rpow_add_intCast (hx : x ≠ 0) (y : ℝ) (n : ℤ) : x ^ (y + n) = x ^ y * x ^ n := by
ext; exact Real.rpow_add_intCast (mod_cast hx) _ _
lemma rpow_add_natCast (hx : x ≠ 0) (y : ℝ) (n : ℕ) : x ^ (y + n) = x ^ y * x ^ n := by
ext; exact Real.rpow_add_natCast (mod_cast hx) _ _
lemma rpow_sub_intCast (hx : x ≠ 0) (y : ℝ) (n : ℕ) : x ^ (y - n) = x ^ y / x ^ n := by
ext; exact Real.rpow_sub_intCast (mod_cast hx) _ _
lemma rpow_sub_natCast (hx : x ≠ 0) (y : ℝ) (n : ℕ) : x ^ (y - n) = x ^ y / x ^ n := by
ext; exact Real.rpow_sub_natCast (mod_cast hx) _ _
lemma rpow_add_intCast' {n : ℤ} (h : y + n ≠ 0) (x : ℝ≥0) : x ^ (y + n) = x ^ y * x ^ n := by
ext; exact Real.rpow_add_intCast' (mod_cast x.2) h
lemma rpow_add_natCast' {n : ℕ} (h : y + n ≠ 0) (x : ℝ≥0) : x ^ (y + n) = x ^ y * x ^ n := by
ext; exact Real.rpow_add_natCast' (mod_cast x.2) h
lemma rpow_sub_intCast' {n : ℤ} (h : y - n ≠ 0) (x : ℝ≥0) : x ^ (y - n) = x ^ y / x ^ n := by
ext; exact Real.rpow_sub_intCast' (mod_cast x.2) h
lemma rpow_sub_natCast' {n : ℕ} (h : y - n ≠ 0) (x : ℝ≥0) : x ^ (y - n) = x ^ y / x ^ n := by
ext; exact Real.rpow_sub_natCast' (mod_cast x.2) h
lemma rpow_add_one (hx : x ≠ 0) (y : ℝ) : x ^ (y + 1) = x ^ y * x := by
simpa using rpow_add_natCast hx y 1
lemma rpow_sub_one (hx : x ≠ 0) (y : ℝ) : x ^ (y - 1) = x ^ y / x := by
simpa using rpow_sub_natCast hx y 1
lemma rpow_add_one' (h : y + 1 ≠ 0) (x : ℝ≥0) : x ^ (y + 1) = x ^ y * x := by
rw [rpow_add' h, rpow_one]
lemma rpow_one_add' (h : 1 + y ≠ 0) (x : ℝ≥0) : x ^ (1 + y) = x * x ^ y := by
rw [rpow_add' h, rpow_one]
theorem rpow_add_of_nonneg (x : ℝ≥0) {y z : ℝ} (hy : 0 ≤ y) (hz : 0 ≤ z) :
x ^ (y + z) = x ^ y * x ^ z := by
ext; exact Real.rpow_add_of_nonneg x.2 hy hz
/-- Variant of `NNReal.rpow_add'` that avoids having to prove `y + z = w` twice. -/
lemma rpow_of_add_eq (x : ℝ≥0) (hw : w ≠ 0) (h : y + z = w) : x ^ w = x ^ y * x ^ z := by
rw [← h, rpow_add']; rwa [h]
theorem rpow_mul (x : ℝ≥0) (y z : ℝ) : x ^ (y * z) = (x ^ y) ^ z :=
NNReal.eq <| Real.rpow_mul x.2 y z
lemma rpow_natCast_mul (x : ℝ≥0) (n : ℕ) (z : ℝ) : x ^ (n * z) = (x ^ n) ^ z := by
rw [rpow_mul, rpow_natCast]
lemma rpow_mul_natCast (x : ℝ≥0) (y : ℝ) (n : ℕ) : x ^ (y * n) = (x ^ y) ^ n := by
rw [rpow_mul, rpow_natCast]
lemma rpow_intCast_mul (x : ℝ≥0) (n : ℤ) (z : ℝ) : x ^ (n * z) = (x ^ n) ^ z := by
rw [rpow_mul, rpow_intCast]
lemma rpow_mul_intCast (x : ℝ≥0) (y : ℝ) (n : ℤ) : x ^ (y * n) = (x ^ y) ^ n := by
rw [rpow_mul, rpow_intCast]
theorem rpow_neg_one (x : ℝ≥0) : x ^ (-1 : ℝ) = x⁻¹ := by simp [rpow_neg]
theorem rpow_sub {x : ℝ≥0} (hx : x ≠ 0) (y z : ℝ) : x ^ (y - z) = x ^ y / x ^ z :=
NNReal.eq <| Real.rpow_sub ((NNReal.coe_pos.trans pos_iff_ne_zero).mpr hx) y z
theorem rpow_sub' (h : y - z ≠ 0) (x : ℝ≥0) : x ^ (y - z) = x ^ y / x ^ z :=
NNReal.eq <| Real.rpow_sub' x.2 h
lemma rpow_sub_one' (h : y - 1 ≠ 0) (x : ℝ≥0) : x ^ (y - 1) = x ^ y / x := by
rw [rpow_sub' h, rpow_one]
lemma rpow_one_sub' (h : 1 - y ≠ 0) (x : ℝ≥0) : x ^ (1 - y) = x / x ^ y := by
rw [rpow_sub' h, rpow_one]
theorem rpow_inv_rpow_self {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ y) ^ (1 / y) = x := by
field_simp [← rpow_mul]
theorem rpow_self_rpow_inv {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ (1 / y)) ^ y = x := by
field_simp [← rpow_mul]
theorem inv_rpow (x : ℝ≥0) (y : ℝ) : x⁻¹ ^ y = (x ^ y)⁻¹ :=
NNReal.eq <| Real.inv_rpow x.2 y
theorem div_rpow (x y : ℝ≥0) (z : ℝ) : (x / y) ^ z = x ^ z / y ^ z :=
NNReal.eq <| Real.div_rpow x.2 y.2 z
theorem sqrt_eq_rpow (x : ℝ≥0) : sqrt x = x ^ (1 / (2 : ℝ)) := by
refine NNReal.eq ?_
push_cast
exact Real.sqrt_eq_rpow x.1
@[simp]
lemma rpow_ofNat (x : ℝ≥0) (n : ℕ) [n.AtLeastTwo] :
x ^ (ofNat(n) : ℝ) = x ^ (OfNat.ofNat n : ℕ) :=
rpow_natCast x n
theorem rpow_two (x : ℝ≥0) : x ^ (2 : ℝ) = x ^ 2 := rpow_ofNat x 2
theorem mul_rpow {x y : ℝ≥0} {z : ℝ} : (x * y) ^ z = x ^ z * y ^ z :=
NNReal.eq <| Real.mul_rpow x.2 y.2
/-- `rpow` as a `MonoidHom` -/
@[simps]
def rpowMonoidHom (r : ℝ) : ℝ≥0 →* ℝ≥0 where
toFun := (· ^ r)
map_one' := one_rpow _
map_mul' _x _y := mul_rpow
/-- `rpow` variant of `List.prod_map_pow` for `ℝ≥0` -/
theorem list_prod_map_rpow (l : List ℝ≥0) (r : ℝ) :
(l.map (· ^ r)).prod = l.prod ^ r :=
l.prod_hom (rpowMonoidHom r)
theorem list_prod_map_rpow' {ι} (l : List ι) (f : ι → ℝ≥0) (r : ℝ) :
(l.map (f · ^ r)).prod = (l.map f).prod ^ r := by
rw [← list_prod_map_rpow, List.map_map]; rfl
/-- `rpow` version of `Multiset.prod_map_pow` for `ℝ≥0`. -/
lemma multiset_prod_map_rpow {ι} (s : Multiset ι) (f : ι → ℝ≥0) (r : ℝ) :
(s.map (f · ^ r)).prod = (s.map f).prod ^ r :=
s.prod_hom' (rpowMonoidHom r) _
/-- `rpow` version of `Finset.prod_pow` for `ℝ≥0`. -/
lemma finset_prod_rpow {ι} (s : Finset ι) (f : ι → ℝ≥0) (r : ℝ) :
(∏ i ∈ s, f i ^ r) = (∏ i ∈ s, f i) ^ r :=
multiset_prod_map_rpow _ _ _
-- note: these don't really belong here, but they're much easier to prove in terms of the above
section Real
/-- `rpow` version of `List.prod_map_pow` for `Real`. -/
theorem _root_.Real.list_prod_map_rpow (l : List ℝ) (hl : ∀ x ∈ l, (0 : ℝ) ≤ x) (r : ℝ) :
(l.map (· ^ r)).prod = l.prod ^ r := by
lift l to List ℝ≥0 using hl
have := congr_arg ((↑) : ℝ≥0 → ℝ) (NNReal.list_prod_map_rpow l r)
push_cast at this
rw [List.map_map] at this ⊢
exact mod_cast this
theorem _root_.Real.list_prod_map_rpow' {ι} (l : List ι) (f : ι → ℝ)
(hl : ∀ i ∈ l, (0 : ℝ) ≤ f i) (r : ℝ) :
(l.map (f · ^ r)).prod = (l.map f).prod ^ r := by
rw [← Real.list_prod_map_rpow (l.map f) _ r, List.map_map]
· rfl
simpa using hl
/-- `rpow` version of `Multiset.prod_map_pow`. -/
theorem _root_.Real.multiset_prod_map_rpow {ι} (s : Multiset ι) (f : ι → ℝ)
(hs : ∀ i ∈ s, (0 : ℝ) ≤ f i) (r : ℝ) :
(s.map (f · ^ r)).prod = (s.map f).prod ^ r := by
induction' s using Quotient.inductionOn with l
simpa using Real.list_prod_map_rpow' l f hs r
/-- `rpow` version of `Finset.prod_pow`. -/
theorem _root_.Real.finset_prod_rpow
{ι} (s : Finset ι) (f : ι → ℝ) (hs : ∀ i ∈ s, 0 ≤ f i) (r : ℝ) :
(∏ i ∈ s, f i ^ r) = (∏ i ∈ s, f i) ^ r :=
Real.multiset_prod_map_rpow s.val f hs r
end Real
@[gcongr] theorem rpow_le_rpow {x y : ℝ≥0} {z : ℝ} (h₁ : x ≤ y) (h₂ : 0 ≤ z) : x ^ z ≤ y ^ z :=
Real.rpow_le_rpow x.2 h₁ h₂
@[gcongr] theorem rpow_lt_rpow {x y : ℝ≥0} {z : ℝ} (h₁ : x < y) (h₂ : 0 < z) : x ^ z < y ^ z :=
Real.rpow_lt_rpow x.2 h₁ h₂
theorem rpow_lt_rpow_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ z < y ^ z ↔ x < y :=
Real.rpow_lt_rpow_iff x.2 y.2 hz
theorem rpow_le_rpow_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ z ≤ y ^ z ↔ x ≤ y :=
Real.rpow_le_rpow_iff x.2 y.2 hz
theorem le_rpow_inv_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ≤ y ^ z⁻¹ ↔ x ^ z ≤ y := by
rw [← rpow_le_rpow_iff hz, ← one_div, rpow_self_rpow_inv hz.ne']
theorem rpow_inv_le_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ z⁻¹ ≤ y ↔ x ≤ y ^ z := by
rw [← rpow_le_rpow_iff hz, ← one_div, rpow_self_rpow_inv hz.ne']
theorem lt_rpow_inv_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x < y ^ z⁻¹ ↔ x ^z < y := by
simp only [← not_le, rpow_inv_le_iff hz]
theorem rpow_inv_lt_iff {x y : ℝ≥0} {z : ℝ} (hz : 0 < z) : x ^ z⁻¹ < y ↔ x < y ^ z := by
simp only [← not_le, le_rpow_inv_iff hz]
section
variable {y : ℝ≥0}
lemma rpow_lt_rpow_of_neg (hx : 0 < x) (hxy : x < y) (hz : z < 0) : y ^ z < x ^ z :=
Real.rpow_lt_rpow_of_neg hx hxy hz
lemma rpow_le_rpow_of_nonpos (hx : 0 < x) (hxy : x ≤ y) (hz : z ≤ 0) : y ^ z ≤ x ^ z :=
Real.rpow_le_rpow_of_nonpos hx hxy hz
lemma rpow_lt_rpow_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x ^ z < y ^ z ↔ y < x :=
Real.rpow_lt_rpow_iff_of_neg hx hy hz
lemma rpow_le_rpow_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x ^ z ≤ y ^ z ↔ y ≤ x :=
Real.rpow_le_rpow_iff_of_neg hx hy hz
lemma le_rpow_inv_iff_of_pos (hy : 0 ≤ y) (hz : 0 < z) (x : ℝ≥0) : x ≤ y ^ z⁻¹ ↔ x ^ z ≤ y :=
Real.le_rpow_inv_iff_of_pos x.2 hy hz
lemma rpow_inv_le_iff_of_pos (hy : 0 ≤ y) (hz : 0 < z) (x : ℝ≥0) : x ^ z⁻¹ ≤ y ↔ x ≤ y ^ z :=
Real.rpow_inv_le_iff_of_pos x.2 hy hz
lemma lt_rpow_inv_iff_of_pos (hy : 0 ≤ y) (hz : 0 < z) (x : ℝ≥0) : x < y ^ z⁻¹ ↔ x ^ z < y :=
Real.lt_rpow_inv_iff_of_pos x.2 hy hz
lemma rpow_inv_lt_iff_of_pos (hy : 0 ≤ y) (hz : 0 < z) (x : ℝ≥0) : x ^ z⁻¹ < y ↔ x < y ^ z :=
Real.rpow_inv_lt_iff_of_pos x.2 hy hz
lemma le_rpow_inv_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x ≤ y ^ z⁻¹ ↔ y ≤ x ^ z :=
Real.le_rpow_inv_iff_of_neg hx hy hz
lemma lt_rpow_inv_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x < y ^ z⁻¹ ↔ y < x ^ z :=
Real.lt_rpow_inv_iff_of_neg hx hy hz
lemma rpow_inv_lt_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x ^ z⁻¹ < y ↔ y ^ z < x :=
Real.rpow_inv_lt_iff_of_neg hx hy hz
lemma rpow_inv_le_iff_of_neg (hx : 0 < x) (hy : 0 < y) (hz : z < 0) : x ^ z⁻¹ ≤ y ↔ y ^ z ≤ x :=
Real.rpow_inv_le_iff_of_neg hx hy hz
end
@[gcongr] theorem rpow_lt_rpow_of_exponent_lt {x : ℝ≥0} {y z : ℝ} (hx : 1 < x) (hyz : y < z) :
x ^ y < x ^ z :=
Real.rpow_lt_rpow_of_exponent_lt hx hyz
@[gcongr] theorem rpow_le_rpow_of_exponent_le {x : ℝ≥0} {y z : ℝ} (hx : 1 ≤ x) (hyz : y ≤ z) :
x ^ y ≤ x ^ z :=
Real.rpow_le_rpow_of_exponent_le hx hyz
theorem rpow_lt_rpow_of_exponent_gt {x : ℝ≥0} {y z : ℝ} (hx0 : 0 < x) (hx1 : x < 1) (hyz : z < y) :
x ^ y < x ^ z :=
Real.rpow_lt_rpow_of_exponent_gt hx0 hx1 hyz
theorem rpow_le_rpow_of_exponent_ge {x : ℝ≥0} {y z : ℝ} (hx0 : 0 < x) (hx1 : x ≤ 1) (hyz : z ≤ y) :
x ^ y ≤ x ^ z :=
Real.rpow_le_rpow_of_exponent_ge hx0 hx1 hyz
theorem rpow_pos {p : ℝ} {x : ℝ≥0} (hx_pos : 0 < x) : 0 < x ^ p := by
have rpow_pos_of_nonneg : ∀ {p : ℝ}, 0 < p → 0 < x ^ p := by
intro p hp_pos
rw [← zero_rpow hp_pos.ne']
exact rpow_lt_rpow hx_pos hp_pos
rcases lt_trichotomy (0 : ℝ) p with (hp_pos | rfl | hp_neg)
· exact rpow_pos_of_nonneg hp_pos
· simp only [zero_lt_one, rpow_zero]
· rw [← neg_neg p, rpow_neg, inv_pos]
exact rpow_pos_of_nonneg (neg_pos.mpr hp_neg)
theorem rpow_lt_one {x : ℝ≥0} {z : ℝ} (hx1 : x < 1) (hz : 0 < z) : x ^ z < 1 :=
Real.rpow_lt_one (coe_nonneg x) hx1 hz
theorem rpow_le_one {x : ℝ≥0} {z : ℝ} (hx2 : x ≤ 1) (hz : 0 ≤ z) : x ^ z ≤ 1 :=
Real.rpow_le_one x.2 hx2 hz
theorem rpow_lt_one_of_one_lt_of_neg {x : ℝ≥0} {z : ℝ} (hx : 1 < x) (hz : z < 0) : x ^ z < 1 :=
Real.rpow_lt_one_of_one_lt_of_neg hx hz
theorem rpow_le_one_of_one_le_of_nonpos {x : ℝ≥0} {z : ℝ} (hx : 1 ≤ x) (hz : z ≤ 0) : x ^ z ≤ 1 :=
Real.rpow_le_one_of_one_le_of_nonpos hx hz
theorem one_lt_rpow {x : ℝ≥0} {z : ℝ} (hx : 1 < x) (hz : 0 < z) : 1 < x ^ z :=
Real.one_lt_rpow hx hz
theorem one_le_rpow {x : ℝ≥0} {z : ℝ} (h : 1 ≤ x) (h₁ : 0 ≤ z) : 1 ≤ x ^ z :=
Real.one_le_rpow h h₁
theorem one_lt_rpow_of_pos_of_lt_one_of_neg {x : ℝ≥0} {z : ℝ} (hx1 : 0 < x) (hx2 : x < 1)
(hz : z < 0) : 1 < x ^ z :=
Real.one_lt_rpow_of_pos_of_lt_one_of_neg hx1 hx2 hz
theorem one_le_rpow_of_pos_of_le_one_of_nonpos {x : ℝ≥0} {z : ℝ} (hx1 : 0 < x) (hx2 : x ≤ 1)
(hz : z ≤ 0) : 1 ≤ x ^ z :=
Real.one_le_rpow_of_pos_of_le_one_of_nonpos hx1 hx2 hz
theorem rpow_le_self_of_le_one {x : ℝ≥0} {z : ℝ} (hx : x ≤ 1) (h_one_le : 1 ≤ z) : x ^ z ≤ x := by
rcases eq_bot_or_bot_lt x with (rfl | (h : 0 < x))
· have : z ≠ 0 := by linarith
simp [this]
nth_rw 2 [← NNReal.rpow_one x]
exact NNReal.rpow_le_rpow_of_exponent_ge h hx h_one_le
theorem rpow_left_injective {x : ℝ} (hx : x ≠ 0) : Function.Injective fun y : ℝ≥0 => y ^ x :=
fun y z hyz => by simpa only [rpow_inv_rpow_self hx] using congr_arg (fun y => y ^ (1 / x)) hyz
theorem rpow_eq_rpow_iff {x y : ℝ≥0} {z : ℝ} (hz : z ≠ 0) : x ^ z = y ^ z ↔ x = y :=
(rpow_left_injective hz).eq_iff
theorem rpow_left_surjective {x : ℝ} (hx : x ≠ 0) : Function.Surjective fun y : ℝ≥0 => y ^ x :=
fun y => ⟨y ^ x⁻¹, by simp_rw [← rpow_mul, inv_mul_cancel₀ hx, rpow_one]⟩
theorem rpow_left_bijective {x : ℝ} (hx : x ≠ 0) : Function.Bijective fun y : ℝ≥0 => y ^ x :=
⟨rpow_left_injective hx, rpow_left_surjective hx⟩
theorem eq_rpow_inv_iff {x y : ℝ≥0} {z : ℝ} (hz : z ≠ 0) : x = y ^ z⁻¹ ↔ x ^ z = y := by
rw [← rpow_eq_rpow_iff hz, ← one_div, rpow_self_rpow_inv hz]
theorem rpow_inv_eq_iff {x y : ℝ≥0} {z : ℝ} (hz : z ≠ 0) : x ^ z⁻¹ = y ↔ x = y ^ z := by
rw [← rpow_eq_rpow_iff hz, ← one_div, rpow_self_rpow_inv hz]
@[simp] lemma rpow_rpow_inv {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ y) ^ y⁻¹ = x := by
rw [← rpow_mul, mul_inv_cancel₀ hy, rpow_one]
@[simp] lemma rpow_inv_rpow {y : ℝ} (hy : y ≠ 0) (x : ℝ≥0) : (x ^ y⁻¹) ^ y = x := by
rw [← rpow_mul, inv_mul_cancel₀ hy, rpow_one]
theorem pow_rpow_inv_natCast (x : ℝ≥0) {n : ℕ} (hn : n ≠ 0) : (x ^ n) ^ (n⁻¹ : ℝ) = x := by
rw [← NNReal.coe_inj, coe_rpow, NNReal.coe_pow]
exact Real.pow_rpow_inv_natCast x.2 hn
theorem rpow_inv_natCast_pow (x : ℝ≥0) {n : ℕ} (hn : n ≠ 0) : (x ^ (n⁻¹ : ℝ)) ^ n = x := by
rw [← NNReal.coe_inj, NNReal.coe_pow, coe_rpow]
exact Real.rpow_inv_natCast_pow x.2 hn
theorem _root_.Real.toNNReal_rpow_of_nonneg {x y : ℝ} (hx : 0 ≤ x) :
Real.toNNReal (x ^ y) = Real.toNNReal x ^ y := by
nth_rw 1 [← Real.coe_toNNReal x hx]
rw [← NNReal.coe_rpow, Real.toNNReal_coe]
theorem strictMono_rpow_of_pos {z : ℝ} (h : 0 < z) : StrictMono fun x : ℝ≥0 => x ^ z :=
fun x y hxy => by simp only [NNReal.rpow_lt_rpow hxy h, coe_lt_coe]
theorem monotone_rpow_of_nonneg {z : ℝ} (h : 0 ≤ z) : Monotone fun x : ℝ≥0 => x ^ z :=
h.eq_or_lt.elim (fun h0 => h0 ▸ by simp only [rpow_zero, monotone_const]) fun h0 =>
(strictMono_rpow_of_pos h0).monotone
/-- Bundles `fun x : ℝ≥0 => x ^ y` into an order isomorphism when `y : ℝ` is positive,
where the inverse is `fun x : ℝ≥0 => x ^ (1 / y)`. -/
@[simps! apply]
def orderIsoRpow (y : ℝ) (hy : 0 < y) : ℝ≥0 ≃o ℝ≥0 :=
(strictMono_rpow_of_pos hy).orderIsoOfRightInverse (fun x => x ^ y) (fun x => x ^ (1 / y))
fun x => by
dsimp
rw [← rpow_mul, one_div_mul_cancel hy.ne.symm, rpow_one]
theorem orderIsoRpow_symm_eq (y : ℝ) (hy : 0 < y) :
(orderIsoRpow y hy).symm = orderIsoRpow (1 / y) (one_div_pos.2 hy) := by
simp only [orderIsoRpow, one_div_one_div]; rfl
theorem _root_.Real.nnnorm_rpow_of_nonneg {x y : ℝ} (hx : 0 ≤ x) : ‖x ^ y‖₊ = ‖x‖₊ ^ y := by
ext; exact Real.norm_rpow_of_nonneg hx
end NNReal
namespace ENNReal
/-- The real power function `x^y` on extended nonnegative reals, defined for `x : ℝ≥0∞` and
`y : ℝ` as the restriction of the real power function if `0 < x < ⊤`, and with the natural values
for `0` and `⊤` (i.e., `0 ^ x = 0` for `x > 0`, `1` for `x = 0` and `⊤` for `x < 0`, and
`⊤ ^ x = 1 / 0 ^ x`). -/
noncomputable def rpow : ℝ≥0∞ → ℝ → ℝ≥0∞
| some x, y => if x = 0 ∧ y < 0 then ⊤ else (x ^ y : ℝ≥0)
| none, y => if 0 < y then ⊤ else if y = 0 then 1 else 0
noncomputable instance : Pow ℝ≥0∞ ℝ :=
⟨rpow⟩
@[simp]
theorem rpow_eq_pow (x : ℝ≥0∞) (y : ℝ) : rpow x y = x ^ y :=
rfl
@[simp]
theorem rpow_zero {x : ℝ≥0∞} : x ^ (0 : ℝ) = 1 := by
cases x <;>
· dsimp only [(· ^ ·), Pow.pow, rpow]
simp [lt_irrefl]
theorem top_rpow_def (y : ℝ) : (⊤ : ℝ≥0∞) ^ y = if 0 < y then ⊤ else if y = 0 then 1 else 0 :=
rfl
@[simp]
theorem top_rpow_of_pos {y : ℝ} (h : 0 < y) : (⊤ : ℝ≥0∞) ^ y = ⊤ := by simp [top_rpow_def, h]
@[simp]
theorem top_rpow_of_neg {y : ℝ} (h : y < 0) : (⊤ : ℝ≥0∞) ^ y = 0 := by
simp [top_rpow_def, asymm h, ne_of_lt h]
@[simp]
theorem zero_rpow_of_pos {y : ℝ} (h : 0 < y) : (0 : ℝ≥0∞) ^ y = 0 := by
rw [← ENNReal.coe_zero, ← ENNReal.some_eq_coe]
dsimp only [(· ^ ·), rpow, Pow.pow]
simp [h, asymm h, ne_of_gt h]
@[simp]
theorem zero_rpow_of_neg {y : ℝ} (h : y < 0) : (0 : ℝ≥0∞) ^ y = ⊤ := by
rw [← ENNReal.coe_zero, ← ENNReal.some_eq_coe]
dsimp only [(· ^ ·), rpow, Pow.pow]
simp [h, ne_of_gt h]
theorem zero_rpow_def (y : ℝ) : (0 : ℝ≥0∞) ^ y = if 0 < y then 0 else if y = 0 then 1 else ⊤ := by
rcases lt_trichotomy (0 : ℝ) y with (H | rfl | H)
· simp [H, ne_of_gt, zero_rpow_of_pos, lt_irrefl]
· simp [lt_irrefl]
· simp [H, asymm H, ne_of_lt, zero_rpow_of_neg]
@[simp]
theorem zero_rpow_mul_self (y : ℝ) : (0 : ℝ≥0∞) ^ y * (0 : ℝ≥0∞) ^ y = (0 : ℝ≥0∞) ^ y := by
rw [zero_rpow_def]
split_ifs
exacts [zero_mul _, one_mul _, top_mul_top]
@[norm_cast]
theorem coe_rpow_of_ne_zero {x : ℝ≥0} (h : x ≠ 0) (y : ℝ) : (↑(x ^ y) : ℝ≥0∞) = x ^ y := by
rw [← ENNReal.some_eq_coe]
dsimp only [(· ^ ·), Pow.pow, rpow]
simp [h]
@[norm_cast]
theorem coe_rpow_of_nonneg (x : ℝ≥0) {y : ℝ} (h : 0 ≤ y) : ↑(x ^ y) = (x : ℝ≥0∞) ^ y := by
by_cases hx : x = 0
· rcases le_iff_eq_or_lt.1 h with (H | H)
· simp [hx, H.symm]
· simp [hx, zero_rpow_of_pos H, NNReal.zero_rpow (ne_of_gt H)]
· exact coe_rpow_of_ne_zero hx _
theorem coe_rpow_def (x : ℝ≥0) (y : ℝ) :
(x : ℝ≥0∞) ^ y = if x = 0 ∧ y < 0 then ⊤ else ↑(x ^ y) :=
rfl
theorem rpow_ofNNReal {M : ℝ≥0} {P : ℝ} (hP : 0 ≤ P) : (M : ℝ≥0∞) ^ P = ↑(M ^ P) := by
rw [ENNReal.coe_rpow_of_nonneg _ hP, ← ENNReal.rpow_eq_pow]
@[simp]
theorem rpow_one (x : ℝ≥0∞) : x ^ (1 : ℝ) = x := by
cases x
· exact dif_pos zero_lt_one
· change ite _ _ _ = _
simp only [NNReal.rpow_one, some_eq_coe, ite_eq_right_iff, top_ne_coe, and_imp]
exact fun _ => zero_le_one.not_lt
@[simp]
theorem one_rpow (x : ℝ) : (1 : ℝ≥0∞) ^ x = 1 := by
rw [← coe_one, ← coe_rpow_of_ne_zero one_ne_zero]
simp
@[simp]
theorem rpow_eq_zero_iff {x : ℝ≥0∞} {y : ℝ} : x ^ y = 0 ↔ x = 0 ∧ 0 < y ∨ x = ⊤ ∧ y < 0 := by
cases x with
| top =>
rcases lt_trichotomy y 0 with (H | H | H) <;>
simp [H, top_rpow_of_neg, top_rpow_of_pos, le_of_lt]
| coe x =>
by_cases h : x = 0
· rcases lt_trichotomy y 0 with (H | H | H) <;>
simp [h, H, zero_rpow_of_neg, zero_rpow_of_pos, le_of_lt]
· simp [← coe_rpow_of_ne_zero h, h]
lemma rpow_eq_zero_iff_of_pos {x : ℝ≥0∞} {y : ℝ} (hy : 0 < y) : x ^ y = 0 ↔ x = 0 := by
simp [hy, hy.not_lt]
@[simp]
theorem rpow_eq_top_iff {x : ℝ≥0∞} {y : ℝ} : x ^ y = ⊤ ↔ x = 0 ∧ y < 0 ∨ x = ⊤ ∧ 0 < y := by
cases x with
| top =>
rcases lt_trichotomy y 0 with (H | H | H) <;>
simp [H, top_rpow_of_neg, top_rpow_of_pos, le_of_lt]
| coe x =>
by_cases h : x = 0
· rcases lt_trichotomy y 0 with (H | H | H) <;>
simp [h, H, zero_rpow_of_neg, zero_rpow_of_pos, le_of_lt]
· simp [← coe_rpow_of_ne_zero h, h]
theorem rpow_eq_top_iff_of_pos {x : ℝ≥0∞} {y : ℝ} (hy : 0 < y) : x ^ y = ⊤ ↔ x = ⊤ := by
simp [rpow_eq_top_iff, hy, asymm hy]
lemma rpow_lt_top_iff_of_pos {x : ℝ≥0∞} {y : ℝ} (hy : 0 < y) : x ^ y < ∞ ↔ x < ∞ := by
simp only [lt_top_iff_ne_top, Ne, rpow_eq_top_iff_of_pos hy]
theorem rpow_eq_top_of_nonneg (x : ℝ≥0∞) {y : ℝ} (hy0 : 0 ≤ y) : x ^ y = ⊤ → x = ⊤ := by
rw [ENNReal.rpow_eq_top_iff]
rintro (h|h)
· exfalso
rw [lt_iff_not_ge] at h
exact h.right hy0
· exact h.left
theorem rpow_ne_top_of_nonneg {x : ℝ≥0∞} {y : ℝ} (hy0 : 0 ≤ y) (h : x ≠ ⊤) : x ^ y ≠ ⊤ :=
mt (ENNReal.rpow_eq_top_of_nonneg x hy0) h
theorem rpow_lt_top_of_nonneg {x : ℝ≥0∞} {y : ℝ} (hy0 : 0 ≤ y) (h : x ≠ ⊤) : x ^ y < ⊤ :=
lt_top_iff_ne_top.mpr (ENNReal.rpow_ne_top_of_nonneg hy0 h)
theorem rpow_add {x : ℝ≥0∞} (y z : ℝ) (hx : x ≠ 0) (h'x : x ≠ ⊤) : x ^ (y + z) = x ^ y * x ^ z := by
cases x with
| top => exact (h'x rfl).elim
| coe x =>
have : x ≠ 0 := fun h => by simp [h] at hx
simp [← coe_rpow_of_ne_zero this, NNReal.rpow_add this]
theorem rpow_add_of_nonneg {x : ℝ≥0∞} (y z : ℝ) (hy : 0 ≤ y) (hz : 0 ≤ z) :
x ^ (y + z) = x ^ y * x ^ z := by
induction x using recTopCoe
· rcases hy.eq_or_lt with rfl|hy
· rw [rpow_zero, one_mul, zero_add]
rcases hz.eq_or_lt with rfl|hz
· rw [rpow_zero, mul_one, add_zero]
simp [top_rpow_of_pos, hy, hz, add_pos hy hz]
simp [← coe_rpow_of_nonneg, hy, hz, add_nonneg hy hz, NNReal.rpow_add_of_nonneg _ hy hz]
theorem rpow_neg (x : ℝ≥0∞) (y : ℝ) : x ^ (-y) = (x ^ y)⁻¹ := by
cases x with
| top =>
rcases lt_trichotomy y 0 with (H | H | H) <;>
simp [top_rpow_of_pos, top_rpow_of_neg, H, neg_pos.mpr]
| coe x =>
by_cases h : x = 0
· rcases lt_trichotomy y 0 with (H | H | H) <;>
simp [h, zero_rpow_of_pos, zero_rpow_of_neg, H, neg_pos.mpr]
· have A : x ^ y ≠ 0 := by simp [h]
simp [← coe_rpow_of_ne_zero h, ← coe_inv A, NNReal.rpow_neg]
theorem rpow_sub {x : ℝ≥0∞} (y z : ℝ) (hx : x ≠ 0) (h'x : x ≠ ⊤) : x ^ (y - z) = x ^ y / x ^ z := by
rw [sub_eq_add_neg, rpow_add _ _ hx h'x, rpow_neg, div_eq_mul_inv]
theorem rpow_neg_one (x : ℝ≥0∞) : x ^ (-1 : ℝ) = x⁻¹ := by simp [rpow_neg]
theorem rpow_mul (x : ℝ≥0∞) (y z : ℝ) : x ^ (y * z) = (x ^ y) ^ z := by
cases x with
| top =>
rcases lt_trichotomy y 0 with (Hy | Hy | Hy) <;>
rcases lt_trichotomy z 0 with (Hz | Hz | Hz) <;>
simp [Hy, Hz, zero_rpow_of_neg, zero_rpow_of_pos, top_rpow_of_neg, top_rpow_of_pos,
mul_pos_of_neg_of_neg, mul_neg_of_neg_of_pos, mul_neg_of_pos_of_neg]
| coe x =>
by_cases h : x = 0
· rcases lt_trichotomy y 0 with (Hy | Hy | Hy) <;>
rcases lt_trichotomy z 0 with (Hz | Hz | Hz) <;>
simp [h, Hy, Hz, zero_rpow_of_neg, zero_rpow_of_pos, top_rpow_of_neg, top_rpow_of_pos,
mul_pos_of_neg_of_neg, mul_neg_of_neg_of_pos, mul_neg_of_pos_of_neg]
· have : x ^ y ≠ 0 := by simp [h]
simp [← coe_rpow_of_ne_zero, h, this, NNReal.rpow_mul]
@[simp, norm_cast]
theorem rpow_natCast (x : ℝ≥0∞) (n : ℕ) : x ^ (n : ℝ) = x ^ n := by
cases x
· cases n <;> simp [top_rpow_of_pos (Nat.cast_add_one_pos _), top_pow (Nat.succ_ne_zero _)]
· simp [← coe_rpow_of_nonneg _ (Nat.cast_nonneg n)]
@[simp]
lemma rpow_ofNat (x : ℝ≥0∞) (n : ℕ) [n.AtLeastTwo] :
x ^ (ofNat(n) : ℝ) = x ^ (OfNat.ofNat n) :=
rpow_natCast x n
@[simp, norm_cast]
lemma rpow_intCast (x : ℝ≥0∞) (n : ℤ) : x ^ (n : ℝ) = x ^ n := by
cases n <;> simp only [Int.ofNat_eq_coe, Int.cast_natCast, rpow_natCast, zpow_natCast,
Int.cast_negSucc, rpow_neg, zpow_negSucc]
theorem rpow_two (x : ℝ≥0∞) : x ^ (2 : ℝ) = x ^ 2 := rpow_ofNat x 2
theorem mul_rpow_eq_ite (x y : ℝ≥0∞) (z : ℝ) :
(x * y) ^ z = if (x = 0 ∧ y = ⊤ ∨ x = ⊤ ∧ y = 0) ∧ z < 0 then ⊤ else x ^ z * y ^ z := by
rcases eq_or_ne z 0 with (rfl | hz); · simp
replace hz := hz.lt_or_lt
wlog hxy : x ≤ y
· convert this y x z hz (le_of_not_le hxy) using 2 <;> simp only [mul_comm, and_comm, or_comm]
rcases eq_or_ne x 0 with (rfl | hx0)
· induction y <;> rcases hz with hz | hz <;> simp [*, hz.not_lt]
rcases eq_or_ne y 0 with (rfl | hy0)
· exact (hx0 (bot_unique hxy)).elim
induction x
· rcases hz with hz | hz <;> simp [hz, top_unique hxy]
induction y
· rw [ne_eq, coe_eq_zero] at hx0
rcases hz with hz | hz <;> simp [*]
simp only [*, if_false]
norm_cast at *
rw [← coe_rpow_of_ne_zero (mul_ne_zero hx0 hy0), NNReal.mul_rpow]
norm_cast
theorem mul_rpow_of_ne_top {x y : ℝ≥0∞} (hx : x ≠ ⊤) (hy : y ≠ ⊤) (z : ℝ) :
(x * y) ^ z = x ^ z * y ^ z := by simp [*, mul_rpow_eq_ite]
@[norm_cast]
theorem coe_mul_rpow (x y : ℝ≥0) (z : ℝ) : ((x : ℝ≥0∞) * y) ^ z = (x : ℝ≥0∞) ^ z * (y : ℝ≥0∞) ^ z :=
mul_rpow_of_ne_top coe_ne_top coe_ne_top z
theorem prod_coe_rpow {ι} (s : Finset ι) (f : ι → ℝ≥0) (r : ℝ) :
∏ i ∈ s, (f i : ℝ≥0∞) ^ r = ((∏ i ∈ s, f i : ℝ≥0) : ℝ≥0∞) ^ r := by
classical
induction s using Finset.induction with
| empty => simp
| insert _ _ hi ih => simp_rw [prod_insert hi, ih, ← coe_mul_rpow, coe_mul]
theorem mul_rpow_of_ne_zero {x y : ℝ≥0∞} (hx : x ≠ 0) (hy : y ≠ 0) (z : ℝ) :
(x * y) ^ z = x ^ z * y ^ z := by simp [*, mul_rpow_eq_ite]
theorem mul_rpow_of_nonneg (x y : ℝ≥0∞) {z : ℝ} (hz : 0 ≤ z) : (x * y) ^ z = x ^ z * y ^ z := by
simp [hz.not_lt, mul_rpow_eq_ite]
theorem prod_rpow_of_ne_top {ι} {s : Finset ι} {f : ι → ℝ≥0∞} (hf : ∀ i ∈ s, f i ≠ ∞) (r : ℝ) :
∏ i ∈ s, f i ^ r = (∏ i ∈ s, f i) ^ r := by
classical
induction s using Finset.induction with
| empty => simp
| insert i s hi ih =>
have h2f : ∀ i ∈ s, f i ≠ ∞ := fun i hi ↦ hf i <| mem_insert_of_mem hi
rw [prod_insert hi, prod_insert hi, ih h2f, ← mul_rpow_of_ne_top <| hf i <| mem_insert_self ..]
apply prod_ne_top h2f
theorem prod_rpow_of_nonneg {ι} {s : Finset ι} {f : ι → ℝ≥0∞} {r : ℝ} (hr : 0 ≤ r) :
∏ i ∈ s, f i ^ r = (∏ i ∈ s, f i) ^ r := by
classical
induction s using Finset.induction with
| empty => simp
| insert _ _ hi ih => simp_rw [prod_insert hi, ih, ← mul_rpow_of_nonneg _ _ hr]
theorem inv_rpow (x : ℝ≥0∞) (y : ℝ) : x⁻¹ ^ y = (x ^ y)⁻¹ := by
rcases eq_or_ne y 0 with (rfl | hy); · simp only [rpow_zero, inv_one]
replace hy := hy.lt_or_lt
rcases eq_or_ne x 0 with (rfl | h0); · cases hy <;> simp [*]
rcases eq_or_ne x ⊤ with (rfl | h_top); · cases hy <;> simp [*]
apply ENNReal.eq_inv_of_mul_eq_one_left
rw [← mul_rpow_of_ne_zero (ENNReal.inv_ne_zero.2 h_top) h0, ENNReal.inv_mul_cancel h0 h_top,
one_rpow]
theorem div_rpow_of_nonneg (x y : ℝ≥0∞) {z : ℝ} (hz : 0 ≤ z) : (x / y) ^ z = x ^ z / y ^ z := by
rw [div_eq_mul_inv, mul_rpow_of_nonneg _ _ hz, inv_rpow, div_eq_mul_inv]
theorem strictMono_rpow_of_pos {z : ℝ} (h : 0 < z) : StrictMono fun x : ℝ≥0∞ => x ^ z := by
intro x y hxy
lift x to ℝ≥0 using ne_top_of_lt hxy
rcases eq_or_ne y ∞ with (rfl | hy)
· simp only [top_rpow_of_pos h, ← coe_rpow_of_nonneg _ h.le, coe_lt_top]
· lift y to ℝ≥0 using hy
simp only [← coe_rpow_of_nonneg _ h.le, NNReal.rpow_lt_rpow (coe_lt_coe.1 hxy) h, coe_lt_coe]
theorem monotone_rpow_of_nonneg {z : ℝ} (h : 0 ≤ z) : Monotone fun x : ℝ≥0∞ => x ^ z :=
h.eq_or_lt.elim (fun h0 => h0 ▸ by simp only [rpow_zero, monotone_const]) fun h0 =>
(strictMono_rpow_of_pos h0).monotone
/-- Bundles `fun x : ℝ≥0∞ => x ^ y` into an order isomorphism when `y : ℝ` is positive,
where the inverse is `fun x : ℝ≥0∞ => x ^ (1 / y)`. -/
@[simps! apply]
def orderIsoRpow (y : ℝ) (hy : 0 < y) : ℝ≥0∞ ≃o ℝ≥0∞ :=
(strictMono_rpow_of_pos hy).orderIsoOfRightInverse (fun x => x ^ y) (fun x => x ^ (1 / y))
fun x => by
dsimp
rw [← rpow_mul, one_div_mul_cancel hy.ne.symm, rpow_one]
theorem orderIsoRpow_symm_apply (y : ℝ) (hy : 0 < y) :
(orderIsoRpow y hy).symm = orderIsoRpow (1 / y) (one_div_pos.2 hy) := by
simp only [orderIsoRpow, one_div_one_div]
rfl
@[gcongr] theorem rpow_le_rpow {x y : ℝ≥0∞} {z : ℝ} (h₁ : x ≤ y) (h₂ : 0 ≤ z) : x ^ z ≤ y ^ z :=
monotone_rpow_of_nonneg h₂ h₁
@[gcongr] theorem rpow_lt_rpow {x y : ℝ≥0∞} {z : ℝ} (h₁ : x < y) (h₂ : 0 < z) : x ^ z < y ^ z :=
strictMono_rpow_of_pos h₂ h₁
theorem rpow_le_rpow_iff {x y : ℝ≥0∞} {z : ℝ} (hz : 0 < z) : x ^ z ≤ y ^ z ↔ x ≤ y :=
(strictMono_rpow_of_pos hz).le_iff_le
theorem rpow_lt_rpow_iff {x y : ℝ≥0∞} {z : ℝ} (hz : 0 < z) : x ^ z < y ^ z ↔ x < y :=
(strictMono_rpow_of_pos hz).lt_iff_lt
theorem le_rpow_inv_iff {x y : ℝ≥0∞} {z : ℝ} (hz : 0 < z) : x ≤ y ^ z⁻¹ ↔ x ^ z ≤ y := by
nth_rw 1 [← rpow_one x]
nth_rw 1 [← @mul_inv_cancel₀ _ _ z hz.ne']
rw [rpow_mul, @rpow_le_rpow_iff _ _ z⁻¹ (by simp [hz])]
theorem rpow_inv_lt_iff {x y : ℝ≥0∞} {z : ℝ} (hz : 0 < z) : x ^ z⁻¹ < y ↔ x < y ^ z := by
simp only [← not_le, le_rpow_inv_iff hz]
theorem lt_rpow_inv_iff {x y : ℝ≥0∞} {z : ℝ} (hz : 0 < z) : x < y ^ z⁻¹ ↔ x ^ z < y := by
nth_rw 1 [← rpow_one x]
nth_rw 1 [← @mul_inv_cancel₀ _ _ z (ne_of_lt hz).symm]
rw [rpow_mul, @rpow_lt_rpow_iff _ _ z⁻¹ (by simp [hz])]
theorem rpow_inv_le_iff {x y : ℝ≥0∞} {z : ℝ} (hz : 0 < z) : x ^ z⁻¹ ≤ y ↔ x ≤ y ^ z := by
nth_rw 1 [← ENNReal.rpow_one y]
nth_rw 1 [← @mul_inv_cancel₀ _ _ z hz.ne.symm]
rw [ENNReal.rpow_mul, ENNReal.rpow_le_rpow_iff (inv_pos.2 hz)]
theorem rpow_lt_rpow_of_exponent_lt {x : ℝ≥0∞} {y z : ℝ} (hx : 1 < x) (hx' : x ≠ ⊤) (hyz : y < z) :
x ^ y < x ^ z := by
lift x to ℝ≥0 using hx'
rw [one_lt_coe_iff] at hx
simp [← coe_rpow_of_ne_zero (ne_of_gt (lt_trans zero_lt_one hx)),
NNReal.rpow_lt_rpow_of_exponent_lt hx hyz]
@[gcongr] theorem rpow_le_rpow_of_exponent_le {x : ℝ≥0∞} {y z : ℝ} (hx : 1 ≤ x) (hyz : y ≤ z) :
x ^ y ≤ x ^ z := by
cases x
· rcases lt_trichotomy y 0 with (Hy | Hy | Hy) <;>
rcases lt_trichotomy z 0 with (Hz | Hz | Hz) <;>
simp [Hy, Hz, top_rpow_of_neg, top_rpow_of_pos, le_refl] <;>
linarith
· simp only [one_le_coe_iff, some_eq_coe] at hx
simp [← coe_rpow_of_ne_zero (ne_of_gt (lt_of_lt_of_le zero_lt_one hx)),
NNReal.rpow_le_rpow_of_exponent_le hx hyz]
theorem rpow_lt_rpow_of_exponent_gt {x : ℝ≥0∞} {y z : ℝ} (hx0 : 0 < x) (hx1 : x < 1) (hyz : z < y) :
x ^ y < x ^ z := by
lift x to ℝ≥0 using ne_of_lt (lt_of_lt_of_le hx1 le_top)
simp only [coe_lt_one_iff, coe_pos] at hx0 hx1
simp [← coe_rpow_of_ne_zero (ne_of_gt hx0), NNReal.rpow_lt_rpow_of_exponent_gt hx0 hx1 hyz]
theorem rpow_le_rpow_of_exponent_ge {x : ℝ≥0∞} {y z : ℝ} (hx1 : x ≤ 1) (hyz : z ≤ y) :
x ^ y ≤ x ^ z := by
lift x to ℝ≥0 using ne_of_lt (lt_of_le_of_lt hx1 coe_lt_top)
by_cases h : x = 0
· rcases lt_trichotomy y 0 with (Hy | Hy | Hy) <;>
rcases lt_trichotomy z 0 with (Hz | Hz | Hz) <;>
simp [Hy, Hz, h, zero_rpow_of_neg, zero_rpow_of_pos, le_refl] <;>
linarith
· rw [coe_le_one_iff] at hx1
simp [← coe_rpow_of_ne_zero h,
NNReal.rpow_le_rpow_of_exponent_ge (bot_lt_iff_ne_bot.mpr h) hx1 hyz]
theorem rpow_le_self_of_le_one {x : ℝ≥0∞} {z : ℝ} (hx : x ≤ 1) (h_one_le : 1 ≤ z) : x ^ z ≤ x := by
nth_rw 2 [← ENNReal.rpow_one x]
exact ENNReal.rpow_le_rpow_of_exponent_ge hx h_one_le
theorem le_rpow_self_of_one_le {x : ℝ≥0∞} {z : ℝ} (hx : 1 ≤ x) (h_one_le : 1 ≤ z) : x ≤ x ^ z := by
nth_rw 1 [← ENNReal.rpow_one x]
exact ENNReal.rpow_le_rpow_of_exponent_le hx h_one_le
theorem rpow_pos_of_nonneg {p : ℝ} {x : ℝ≥0∞} (hx_pos : 0 < x) (hp_nonneg : 0 ≤ p) : 0 < x ^ p := by
by_cases hp_zero : p = 0
· simp [hp_zero, zero_lt_one]
· rw [← Ne] at hp_zero
have hp_pos := lt_of_le_of_ne hp_nonneg hp_zero.symm
rw [← zero_rpow_of_pos hp_pos]
exact rpow_lt_rpow hx_pos hp_pos
theorem rpow_pos {p : ℝ} {x : ℝ≥0∞} (hx_pos : 0 < x) (hx_ne_top : x ≠ ⊤) : 0 < x ^ p := by
rcases lt_or_le 0 p with hp_pos | hp_nonpos
· exact rpow_pos_of_nonneg hx_pos (le_of_lt hp_pos)
· rw [← neg_neg p, rpow_neg, ENNReal.inv_pos]
exact rpow_ne_top_of_nonneg (Right.nonneg_neg_iff.mpr hp_nonpos) hx_ne_top
theorem rpow_lt_one {x : ℝ≥0∞} {z : ℝ} (hx : x < 1) (hz : 0 < z) : x ^ z < 1 := by
lift x to ℝ≥0 using ne_of_lt (lt_of_lt_of_le hx le_top)
simp only [coe_lt_one_iff] at hx
simp [← coe_rpow_of_nonneg _ (le_of_lt hz), NNReal.rpow_lt_one hx hz]
theorem rpow_le_one {x : ℝ≥0∞} {z : ℝ} (hx : x ≤ 1) (hz : 0 ≤ z) : x ^ z ≤ 1 := by
lift x to ℝ≥0 using ne_of_lt (lt_of_le_of_lt hx coe_lt_top)
simp only [coe_le_one_iff] at hx
simp [← coe_rpow_of_nonneg _ hz, NNReal.rpow_le_one hx hz]
theorem rpow_lt_one_of_one_lt_of_neg {x : ℝ≥0∞} {z : ℝ} (hx : 1 < x) (hz : z < 0) : x ^ z < 1 := by
cases x
· simp [top_rpow_of_neg hz, zero_lt_one]
· simp only [some_eq_coe, one_lt_coe_iff] at hx
simp [← coe_rpow_of_ne_zero (ne_of_gt (lt_trans zero_lt_one hx)),
NNReal.rpow_lt_one_of_one_lt_of_neg hx hz]
theorem rpow_le_one_of_one_le_of_neg {x : ℝ≥0∞} {z : ℝ} (hx : 1 ≤ x) (hz : z < 0) : x ^ z ≤ 1 := by
cases x
· simp [top_rpow_of_neg hz, zero_lt_one]
· simp only [one_le_coe_iff, some_eq_coe] at hx
simp [← coe_rpow_of_ne_zero (ne_of_gt (lt_of_lt_of_le zero_lt_one hx)),
NNReal.rpow_le_one_of_one_le_of_nonpos hx (le_of_lt hz)]
theorem one_lt_rpow {x : ℝ≥0∞} {z : ℝ} (hx : 1 < x) (hz : 0 < z) : 1 < x ^ z := by
cases x
· simp [top_rpow_of_pos hz]
· simp only [some_eq_coe, one_lt_coe_iff] at hx
simp [← coe_rpow_of_nonneg _ (le_of_lt hz), NNReal.one_lt_rpow hx hz]
theorem one_le_rpow {x : ℝ≥0∞} {z : ℝ} (hx : 1 ≤ x) (hz : 0 < z) : 1 ≤ x ^ z := by
cases x
· simp [top_rpow_of_pos hz]
· simp only [one_le_coe_iff, some_eq_coe] at hx
simp [← coe_rpow_of_nonneg _ (le_of_lt hz), NNReal.one_le_rpow hx (le_of_lt hz)]
theorem one_lt_rpow_of_pos_of_lt_one_of_neg {x : ℝ≥0∞} {z : ℝ} (hx1 : 0 < x) (hx2 : x < 1)
(hz : z < 0) : 1 < x ^ z := by
lift x to ℝ≥0 using ne_of_lt (lt_of_lt_of_le hx2 le_top)
simp only [coe_lt_one_iff, coe_pos] at hx1 hx2 ⊢
simp [← coe_rpow_of_ne_zero (ne_of_gt hx1), NNReal.one_lt_rpow_of_pos_of_lt_one_of_neg hx1 hx2 hz]
theorem one_le_rpow_of_pos_of_le_one_of_neg {x : ℝ≥0∞} {z : ℝ} (hx1 : 0 < x) (hx2 : x ≤ 1)
| (hz : z < 0) : 1 ≤ x ^ z := by
lift x to ℝ≥0 using ne_of_lt (lt_of_le_of_lt hx2 coe_lt_top)
simp only [coe_le_one_iff, coe_pos] at hx1 hx2 ⊢
simp [← coe_rpow_of_ne_zero (ne_of_gt hx1),
NNReal.one_le_rpow_of_pos_of_le_one_of_nonpos hx1 hx2 (le_of_lt hz)]
| Mathlib/Analysis/SpecialFunctions/Pow/NNReal.lean | 864 | 869 |
/-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.Multiset.ZeroCons
/-!
# Basic results on multisets
-/
-- No algebra should be required
assert_not_exists Monoid
universe v
open List Subtype Nat Function
variable {α : Type*} {β : Type v} {γ : Type*}
namespace Multiset
/-! ### `Multiset.toList` -/
section ToList
/-- Produces a list of the elements in the multiset using choice. -/
noncomputable def toList (s : Multiset α) :=
s.out
@[simp, norm_cast]
theorem coe_toList (s : Multiset α) : (s.toList : Multiset α) = s :=
s.out_eq'
@[simp]
theorem toList_eq_nil {s : Multiset α} : s.toList = [] ↔ s = 0 := by
rw [← coe_eq_zero, coe_toList]
theorem empty_toList {s : Multiset α} : s.toList.isEmpty ↔ s = 0 := by simp
@[simp]
theorem toList_zero : (Multiset.toList 0 : List α) = [] :=
toList_eq_nil.mpr rfl
@[simp]
theorem mem_toList {a : α} {s : Multiset α} : a ∈ s.toList ↔ a ∈ s := by
rw [← mem_coe, coe_toList]
@[simp]
theorem toList_eq_singleton_iff {a : α} {m : Multiset α} : m.toList = [a] ↔ m = {a} := by
rw [← perm_singleton, ← coe_eq_coe, coe_toList, coe_singleton]
@[simp]
theorem toList_singleton (a : α) : ({a} : Multiset α).toList = [a] :=
Multiset.toList_eq_singleton_iff.2 rfl
@[simp]
theorem length_toList (s : Multiset α) : s.toList.length = card s := by
rw [← coe_card, coe_toList]
end ToList
/-! ### Induction principles -/
/-- The strong induction principle for multisets. -/
@[elab_as_elim]
def strongInductionOn {p : Multiset α → Sort*} (s : Multiset α) (ih : ∀ s, (∀ t < s, p t) → p s) :
p s :=
(ih s) fun t _h =>
strongInductionOn t ih
termination_by card s
decreasing_by exact card_lt_card _h
theorem strongInductionOn_eq {p : Multiset α → Sort*} (s : Multiset α) (H) :
@strongInductionOn _ p s H = H s fun t _h => @strongInductionOn _ p t H := by
rw [strongInductionOn]
@[elab_as_elim]
theorem case_strongInductionOn {p : Multiset α → Prop} (s : Multiset α) (h₀ : p 0)
(h₁ : ∀ a s, (∀ t ≤ s, p t) → p (a ::ₘ s)) : p s :=
Multiset.strongInductionOn s fun s =>
Multiset.induction_on s (fun _ => h₀) fun _a _s _ ih =>
(h₁ _ _) fun _t h => ih _ <| lt_of_le_of_lt h <| lt_cons_self _ _
/-- Suppose that, given that `p t` can be defined on all supersets of `s` of cardinality less than
`n`, one knows how to define `p s`. Then one can inductively define `p s` for all multisets `s` of
cardinality less than `n`, starting from multisets of card `n` and iterating. This
can be used either to define data, or to prove properties. -/
def strongDownwardInduction {p : Multiset α → Sort*} {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁)
(s : Multiset α) :
card s ≤ n → p s :=
H s fun {t} ht _h =>
strongDownwardInduction H t ht
termination_by n - card s
decreasing_by simp_wf; have := (card_lt_card _h); omega
theorem strongDownwardInduction_eq {p : Multiset α → Sort*} {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁)
(s : Multiset α) :
strongDownwardInduction H s = H s fun ht _hst => strongDownwardInduction H _ ht := by
rw [strongDownwardInduction]
/-- Analogue of `strongDownwardInduction` with order of arguments swapped. -/
@[elab_as_elim]
def strongDownwardInductionOn {p : Multiset α → Sort*} {n : ℕ} :
∀ s : Multiset α,
(∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁) →
card s ≤ n → p s :=
fun s H => strongDownwardInduction H s
theorem strongDownwardInductionOn_eq {p : Multiset α → Sort*} (s : Multiset α) {n : ℕ}
(H : ∀ t₁, (∀ {t₂ : Multiset α}, card t₂ ≤ n → t₁ < t₂ → p t₂) → card t₁ ≤ n → p t₁) :
s.strongDownwardInductionOn H = H s fun {t} ht _h => t.strongDownwardInductionOn H ht := by
dsimp only [strongDownwardInductionOn]
rw [strongDownwardInduction]
section Choose
variable (p : α → Prop) [DecidablePred p] (l : Multiset α)
/-- Given a proof `hp` that there exists a unique `a ∈ l` such that `p a`, `chooseX p l hp` returns
that `a` together with proofs of `a ∈ l` and `p a`. -/
def chooseX : ∀ _hp : ∃! a, a ∈ l ∧ p a, { a // a ∈ l ∧ p a } :=
Quotient.recOn l (fun l' ex_unique => List.chooseX p l' (ExistsUnique.exists ex_unique))
(by
intros a b _
funext hp
suffices all_equal : ∀ x y : { t // t ∈ b ∧ p t }, x = y by
apply all_equal
rintro ⟨x, px⟩ ⟨y, py⟩
rcases hp with ⟨z, ⟨_z_mem_l, _pz⟩, z_unique⟩
congr
calc
x = z := z_unique x px
_ = y := (z_unique y py).symm
)
/-- Given a proof `hp` that there exists a unique `a ∈ l` such that `p a`, `choose p l hp` returns
that `a`. -/
def choose (hp : ∃! a, a ∈ l ∧ p a) : α :=
chooseX p l hp
theorem choose_spec (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l ∧ p (choose p l hp) :=
(chooseX p l hp).property
theorem choose_mem (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l :=
(choose_spec _ _ _).1
theorem choose_property (hp : ∃! a, a ∈ l ∧ p a) : p (choose p l hp) :=
(choose_spec _ _ _).2
end Choose
variable (α) in
/-- The equivalence between lists and multisets of a subsingleton type. -/
def subsingletonEquiv [Subsingleton α] : List α ≃ Multiset α where
toFun := ofList
invFun :=
(Quot.lift id) fun (a b : List α) (h : a ~ b) =>
(List.ext_get h.length_eq) fun _ _ _ => Subsingleton.elim _ _
left_inv _ := rfl
right_inv m := Quot.inductionOn m fun _ => rfl
@[simp]
theorem coe_subsingletonEquiv [Subsingleton α] :
(subsingletonEquiv α : List α → Multiset α) = ofList :=
rfl
section SizeOf
set_option linter.deprecated false in
@[deprecated "Deprecated without replacement." (since := "2025-02-07")]
theorem sizeOf_lt_sizeOf_of_mem [SizeOf α] {x : α} {s : Multiset α} (hx : x ∈ s) :
SizeOf.sizeOf x < SizeOf.sizeOf s := by
induction s using Quot.inductionOn
exact List.sizeOf_lt_sizeOf_of_mem hx
end SizeOf
end Multiset
| Mathlib/Data/Multiset/Basic.lean | 3,059 | 3,060 | |
/-
Copyright (c) 2018 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis, Mario Carneiro, Johan Commelin
-/
import Mathlib.NumberTheory.Padics.PadicNumbers
import Mathlib.RingTheory.DiscreteValuationRing.Basic
/-!
# p-adic integers
This file defines the `p`-adic integers `ℤ_[p]` as the subtype of `ℚ_[p]` with norm `≤ 1`.
We show that `ℤ_[p]`
* is complete,
* is nonarchimedean,
* is a normed ring,
* is a local ring, and
* is a discrete valuation ring.
The relation between `ℤ_[p]` and `ZMod p` is established in another file.
## Important definitions
* `PadicInt` : the type of `p`-adic integers
## Notation
We introduce the notation `ℤ_[p]` for the `p`-adic integers.
## Implementation notes
Much, but not all, of this file assumes that `p` is prime. This assumption is inferred automatically
by taking `[Fact p.Prime]` as a type class argument.
Coercions into `ℤ_[p]` are set up to work with the `norm_cast` tactic.
## References
* [F. Q. Gouvêa, *p-adic numbers*][gouvea1997]
* [R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019]
* <https://en.wikipedia.org/wiki/P-adic_number>
## Tags
p-adic, p adic, padic, p-adic integer
-/
open Padic Metric IsLocalRing
noncomputable section
variable (p : ℕ) [hp : Fact p.Prime]
/-- The `p`-adic integers `ℤ_[p]` are the `p`-adic numbers with norm `≤ 1`. -/
def PadicInt : Type := {x : ℚ_[p] // ‖x‖ ≤ 1}
/-- The ring of `p`-adic integers. -/
notation "ℤ_[" p "]" => PadicInt p
namespace PadicInt
variable {p} {x y : ℤ_[p]}
/-! ### Ring structure and coercion to `ℚ_[p]` -/
instance : Coe ℤ_[p] ℚ_[p] :=
⟨Subtype.val⟩
theorem ext {x y : ℤ_[p]} : (x : ℚ_[p]) = y → x = y :=
Subtype.ext
variable (p)
/-- The `p`-adic integers as a subring of `ℚ_[p]`. -/
def subring : Subring ℚ_[p] where
carrier := { x : ℚ_[p] | ‖x‖ ≤ 1 }
zero_mem' := by norm_num
one_mem' := by norm_num
add_mem' hx hy := (padicNormE.nonarchimedean _ _).trans <| max_le_iff.2 ⟨hx, hy⟩
mul_mem' hx hy := (padicNormE.mul _ _).trans_le <| mul_le_one₀ hx (norm_nonneg _) hy
neg_mem' hx := (norm_neg _).trans_le hx
@[simp]
theorem mem_subring_iff {x : ℚ_[p]} : x ∈ subring p ↔ ‖x‖ ≤ 1 := Iff.rfl
variable {p}
instance instCommRing : CommRing ℤ_[p] := inferInstanceAs <| CommRing (subring p)
instance : Inhabited ℤ_[p] := ⟨0⟩
@[simp]
theorem mk_zero {h} : (⟨0, h⟩ : ℤ_[p]) = (0 : ℤ_[p]) := rfl
@[simp, norm_cast]
theorem coe_add (z1 z2 : ℤ_[p]) : ((z1 + z2 : ℤ_[p]) : ℚ_[p]) = z1 + z2 := rfl
@[simp, norm_cast]
theorem coe_mul (z1 z2 : ℤ_[p]) : ((z1 * z2 : ℤ_[p]) : ℚ_[p]) = z1 * z2 := rfl
@[simp, norm_cast]
theorem coe_neg (z1 : ℤ_[p]) : ((-z1 : ℤ_[p]) : ℚ_[p]) = -z1 := rfl
@[simp, norm_cast]
theorem coe_sub (z1 z2 : ℤ_[p]) : ((z1 - z2 : ℤ_[p]) : ℚ_[p]) = z1 - z2 := rfl
@[simp, norm_cast]
theorem coe_one : ((1 : ℤ_[p]) : ℚ_[p]) = 1 := rfl
@[simp, norm_cast]
theorem coe_zero : ((0 : ℤ_[p]) : ℚ_[p]) = 0 := rfl
@[simp] lemma coe_eq_zero : (x : ℚ_[p]) = 0 ↔ x = 0 := by rw [← coe_zero, Subtype.coe_inj]
lemma coe_ne_zero : (x : ℚ_[p]) ≠ 0 ↔ x ≠ 0 := coe_eq_zero.not
@[simp, norm_cast]
theorem coe_natCast (n : ℕ) : ((n : ℤ_[p]) : ℚ_[p]) = n := rfl
@[simp, norm_cast]
theorem coe_intCast (z : ℤ) : ((z : ℤ_[p]) : ℚ_[p]) = z := rfl
/-- The coercion from `ℤ_[p]` to `ℚ_[p]` as a ring homomorphism. -/
def Coe.ringHom : ℤ_[p] →+* ℚ_[p] := (subring p).subtype
@[simp, norm_cast]
theorem coe_pow (x : ℤ_[p]) (n : ℕ) : (↑(x ^ n) : ℚ_[p]) = (↑x : ℚ_[p]) ^ n := rfl
theorem mk_coe (k : ℤ_[p]) : (⟨k, k.2⟩ : ℤ_[p]) = k := by simp
/-- The inverse of a `p`-adic integer with norm equal to `1` is also a `p`-adic integer.
Otherwise, the inverse is defined to be `0`. -/
def inv : ℤ_[p] → ℤ_[p]
| ⟨k, _⟩ => if h : ‖k‖ = 1 then ⟨k⁻¹, by simp [h]⟩ else 0
instance : CharZero ℤ_[p] where
cast_injective m n h :=
Nat.cast_injective (R := ℚ_[p]) (by rw [Subtype.ext_iff] at h; norm_cast at h)
@[norm_cast]
theorem intCast_eq (z1 z2 : ℤ) : (z1 : ℤ_[p]) = z2 ↔ z1 = z2 := by simp
/-- A sequence of integers that is Cauchy with respect to the `p`-adic norm converges to a `p`-adic
integer. -/
def ofIntSeq (seq : ℕ → ℤ) (h : IsCauSeq (padicNorm p) fun n => seq n) : ℤ_[p] :=
⟨⟦⟨_, h⟩⟧,
show ↑(PadicSeq.norm _) ≤ (1 : ℝ) by
rw [PadicSeq.norm]
split_ifs with hne <;> norm_cast
apply padicNorm.of_int⟩
/-! ### Instances
We now show that `ℤ_[p]` is a
* complete metric space
* normed ring
* integral domain
-/
variable (p)
instance : MetricSpace ℤ_[p] := Subtype.metricSpace
instance : IsUltrametricDist ℤ_[p] := IsUltrametricDist.subtype _
instance completeSpace : CompleteSpace ℤ_[p] :=
have : IsClosed { x : ℚ_[p] | ‖x‖ ≤ 1 } := isClosed_le continuous_norm continuous_const
this.completeSpace_coe
instance : Norm ℤ_[p] := ⟨fun z => ‖(z : ℚ_[p])‖⟩
variable {p} in
theorem norm_def {z : ℤ_[p]} : ‖z‖ = ‖(z : ℚ_[p])‖ := rfl
instance : NormedCommRing ℤ_[p] where
__ := instCommRing
dist_eq := fun ⟨_, _⟩ ⟨_, _⟩ ↦ rfl
norm_mul_le := by simp [norm_def]
instance : NormOneClass ℤ_[p] :=
⟨norm_def.trans norm_one⟩
instance : NormMulClass ℤ_[p] := ⟨fun x y ↦ by simp [norm_def]⟩
instance : IsDomain ℤ_[p] := NoZeroDivisors.to_isDomain _
variable {p}
/-! ### Norm -/
theorem norm_le_one (z : ℤ_[p]) : ‖z‖ ≤ 1 := z.2
theorem nonarchimedean (q r : ℤ_[p]) : ‖q + r‖ ≤ max ‖q‖ ‖r‖ := padicNormE.nonarchimedean _ _
theorem norm_add_eq_max_of_ne {q r : ℤ_[p]} : ‖q‖ ≠ ‖r‖ → ‖q + r‖ = max ‖q‖ ‖r‖ :=
padicNormE.add_eq_max_of_ne
theorem norm_eq_of_norm_add_lt_right {z1 z2 : ℤ_[p]} (h : ‖z1 + z2‖ < ‖z2‖) : ‖z1‖ = ‖z2‖ :=
by_contra fun hne =>
not_lt_of_ge (by rw [norm_add_eq_max_of_ne hne]; apply le_max_right) h
theorem norm_eq_of_norm_add_lt_left {z1 z2 : ℤ_[p]} (h : ‖z1 + z2‖ < ‖z1‖) : ‖z1‖ = ‖z2‖ :=
by_contra fun hne =>
not_lt_of_ge (by rw [norm_add_eq_max_of_ne hne]; apply le_max_left) h
@[simp]
theorem padic_norm_e_of_padicInt (z : ℤ_[p]) : ‖(z : ℚ_[p])‖ = ‖z‖ := by simp [norm_def]
theorem norm_intCast_eq_padic_norm (z : ℤ) : ‖(z : ℤ_[p])‖ = ‖(z : ℚ_[p])‖ := by simp [norm_def]
@[simp]
theorem norm_eq_padic_norm {q : ℚ_[p]} (hq : ‖q‖ ≤ 1) : @norm ℤ_[p] _ ⟨q, hq⟩ = ‖q‖ := rfl
@[simp]
theorem norm_p : ‖(p : ℤ_[p])‖ = (p : ℝ)⁻¹ := padicNormE.norm_p
theorem norm_p_pow (n : ℕ) : ‖(p : ℤ_[p]) ^ n‖ = (p : ℝ) ^ (-n : ℤ) := by simp
private def cauSeq_to_rat_cauSeq (f : CauSeq ℤ_[p] norm) : CauSeq ℚ_[p] fun a => ‖a‖ :=
⟨fun n => f n, fun _ hε => by simpa [norm, norm_def] using f.cauchy hε⟩
variable (p)
instance complete : CauSeq.IsComplete ℤ_[p] norm :=
⟨fun f =>
have hqn : ‖CauSeq.lim (cauSeq_to_rat_cauSeq f)‖ ≤ 1 :=
padicNormE_lim_le zero_lt_one fun _ => norm_le_one _
⟨⟨_, hqn⟩, fun ε => by
simpa [norm, norm_def] using CauSeq.equiv_lim (cauSeq_to_rat_cauSeq f) ε⟩⟩
theorem exists_pow_neg_lt {ε : ℝ} (hε : 0 < ε) : ∃ k : ℕ, (p : ℝ) ^ (-(k : ℤ)) < ε := by
obtain ⟨k, hk⟩ := exists_nat_gt ε⁻¹
use k
rw [← inv_lt_inv₀ hε (zpow_pos _ _)]
· rw [zpow_neg, inv_inv, zpow_natCast]
apply lt_of_lt_of_le hk
norm_cast
apply le_of_lt
convert Nat.lt_pow_self _ using 1
exact hp.1.one_lt
· exact mod_cast hp.1.pos
theorem exists_pow_neg_lt_rat {ε : ℚ} (hε : 0 < ε) : ∃ k : ℕ, (p : ℚ) ^ (-(k : ℤ)) < ε := by
obtain ⟨k, hk⟩ := @exists_pow_neg_lt p _ ε (mod_cast hε)
use k
rw [show (p : ℝ) = (p : ℚ) by simp] at hk
exact mod_cast hk
variable {p}
theorem norm_int_lt_one_iff_dvd (k : ℤ) : ‖(k : ℤ_[p])‖ < 1 ↔ (p : ℤ) ∣ k :=
suffices ‖(k : ℚ_[p])‖ < 1 ↔ ↑p ∣ k by rwa [norm_intCast_eq_padic_norm]
padicNormE.norm_int_lt_one_iff_dvd k
theorem norm_int_le_pow_iff_dvd {k : ℤ} {n : ℕ} :
‖(k : ℤ_[p])‖ ≤ (p : ℝ) ^ (-n : ℤ) ↔ (p ^ n : ℤ) ∣ k :=
suffices ‖(k : ℚ_[p])‖ ≤ (p : ℝ) ^ (-n : ℤ) ↔ (p ^ n : ℤ) ∣ k by
simpa [norm_intCast_eq_padic_norm]
padicNormE.norm_int_le_pow_iff_dvd _ _
/-! ### Valuation on `ℤ_[p]` -/
lemma valuation_coe_nonneg : 0 ≤ (x : ℚ_[p]).valuation := by
obtain rfl | hx := eq_or_ne x 0
· simp
have := x.2
rwa [Padic.norm_eq_zpow_neg_valuation <| coe_ne_zero.2 hx, zpow_le_one_iff_right₀, neg_nonpos]
at this
exact mod_cast hp.out.one_lt
/-- `PadicInt.valuation` lifts the `p`-adic valuation on `ℚ` to `ℤ_[p]`. -/
def valuation (x : ℤ_[p]) : ℕ := (x : ℚ_[p]).valuation.toNat
@[simp, norm_cast] lemma valuation_coe (x : ℤ_[p]) : (x : ℚ_[p]).valuation = x.valuation := by
simp [valuation, valuation_coe_nonneg]
@[simp] lemma valuation_zero : valuation (0 : ℤ_[p]) = 0 := by simp [valuation]
@[simp] lemma valuation_one : valuation (1 : ℤ_[p]) = 0 := by simp [valuation]
@[simp] lemma valuation_p : valuation (p : ℤ_[p]) = 1 := by simp [valuation]
lemma le_valuation_add (hxy : x + y ≠ 0) : min x.valuation y.valuation ≤ (x + y).valuation := by
zify; simpa [← valuation_coe] using Padic.le_valuation_add <| coe_ne_zero.2 hxy
@[simp] lemma valuation_mul (hx : x ≠ 0) (hy : y ≠ 0) :
(x * y).valuation = x.valuation + y.valuation := by
zify; simp [← valuation_coe, Padic.valuation_mul (coe_ne_zero.2 hx) (coe_ne_zero.2 hy)]
@[simp]
lemma valuation_pow (x : ℤ_[p]) (n : ℕ) : (x ^ n).valuation = n * x.valuation := by
zify; simp [← valuation_coe]
lemma norm_eq_zpow_neg_valuation {x : ℤ_[p]} (hx : x ≠ 0) : ‖x‖ = p ^ (-x.valuation : ℤ) := by
simp [norm_def, Padic.norm_eq_zpow_neg_valuation <| coe_ne_zero.2 hx]
@[deprecated (since := "2024-12-10")] alias norm_eq_pow_val := norm_eq_zpow_neg_valuation
-- TODO: Do we really need this lemma?
@[simp]
theorem valuation_p_pow_mul (n : ℕ) (c : ℤ_[p]) (hc : c ≠ 0) :
((p : ℤ_[p]) ^ n * c).valuation = n + c.valuation := by
rw [valuation_mul (NeZero.ne _) hc, valuation_pow, valuation_p, mul_one]
section Units
/-! ### Units of `ℤ_[p]` -/
theorem mul_inv : ∀ {z : ℤ_[p]}, ‖z‖ = 1 → z * z.inv = 1
| ⟨k, _⟩, h => by
have hk : k ≠ 0 := fun h' => zero_ne_one' ℚ_[p] (by simp [h'] at h)
unfold PadicInt.inv
rw [norm_eq_padic_norm] at h
dsimp only
rw [dif_pos h]
apply Subtype.ext_iff_val.2
simp [mul_inv_cancel₀ hk]
theorem inv_mul {z : ℤ_[p]} (hz : ‖z‖ = 1) : z.inv * z = 1 := by rw [mul_comm, mul_inv hz]
theorem isUnit_iff {z : ℤ_[p]} : IsUnit z ↔ ‖z‖ = 1 :=
⟨fun h => by
rcases isUnit_iff_dvd_one.1 h with ⟨w, eq⟩
refine le_antisymm (norm_le_one _) ?_
have := mul_le_mul_of_nonneg_left (norm_le_one w) (norm_nonneg z)
rwa [mul_one, ← norm_mul, ← eq, norm_one] at this, fun h =>
⟨⟨z, z.inv, mul_inv h, inv_mul h⟩, rfl⟩⟩
theorem norm_lt_one_add {z1 z2 : ℤ_[p]} (hz1 : ‖z1‖ < 1) (hz2 : ‖z2‖ < 1) : ‖z1 + z2‖ < 1 :=
lt_of_le_of_lt (nonarchimedean _ _) (max_lt hz1 hz2)
theorem norm_lt_one_mul {z1 z2 : ℤ_[p]} (hz2 : ‖z2‖ < 1) : ‖z1 * z2‖ < 1 :=
calc
‖z1 * z2‖ = ‖z1‖ * ‖z2‖ := by simp
_ < 1 := mul_lt_one_of_nonneg_of_lt_one_right (norm_le_one _) (norm_nonneg _) hz2
theorem mem_nonunits {z : ℤ_[p]} : z ∈ nonunits ℤ_[p] ↔ ‖z‖ < 1 := by
rw [lt_iff_le_and_ne]; simp [norm_le_one z, nonunits, isUnit_iff]
theorem not_isUnit_iff {z : ℤ_[p]} : ¬IsUnit z ↔ ‖z‖ < 1 := by
simpa using mem_nonunits
/-- A `p`-adic number `u` with `‖u‖ = 1` is a unit of `ℤ_[p]`. -/
| def mkUnits {u : ℚ_[p]} (h : ‖u‖ = 1) : ℤ_[p]ˣ :=
let z : ℤ_[p] := ⟨u, le_of_eq h⟩
⟨z, z.inv, mul_inv h, inv_mul h⟩
@[simp]
theorem mkUnits_eq {u : ℚ_[p]} (h : ‖u‖ = 1) : ((mkUnits h : ℤ_[p]) : ℚ_[p]) = u := rfl
@[simp]
theorem norm_units (u : ℤ_[p]ˣ) : ‖(u : ℤ_[p])‖ = 1 := isUnit_iff.mp <| by simp
/-- `unitCoeff hx` is the unit `u` in the unique representation `x = u * p ^ n`.
| Mathlib/NumberTheory/Padics/PadicIntegers.lean | 342 | 352 |
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.Algebra.Polynomial.FieldDivision
import Mathlib.Algebra.Polynomial.Lifts
import Mathlib.Data.List.Prime
import Mathlib.RingTheory.Polynomial.Tower
/-!
# Split polynomials
A polynomial `f : K[X]` splits over a field extension `L` of `K` if it is zero or all of its
irreducible factors over `L` have degree `1`.
## Main definitions
* `Polynomial.Splits i f`: A predicate on a homomorphism `i : K →+* L` from a commutative ring to a
field and a polynomial `f` saying that `f.map i` is zero or all of its irreducible factors over
`L` have degree `1`.
-/
noncomputable section
open Polynomial
universe u v w
variable {R : Type*} {F : Type u} {K : Type v} {L : Type w}
namespace Polynomial
section Splits
section CommRing
variable [CommRing K] [Field L] [Field F]
variable (i : K →+* L)
/-- A polynomial `Splits` iff it is zero or all of its irreducible factors have `degree` 1. -/
def Splits (f : K[X]) : Prop :=
f.map i = 0 ∨ ∀ {g : L[X]}, Irreducible g → g ∣ f.map i → degree g = 1
@[simp]
theorem splits_zero : Splits i (0 : K[X]) :=
Or.inl (Polynomial.map_zero i)
theorem splits_of_map_eq_C {f : K[X]} {a : L} (h : f.map i = C a) : Splits i f :=
letI := Classical.decEq L
if ha : a = 0 then Or.inl (h.trans (ha.symm ▸ C_0))
else
Or.inr fun hg ⟨p, hp⟩ =>
absurd hg.1 <|
Classical.not_not.2 <|
isUnit_iff_degree_eq_zero.2 <| by
have := congr_arg degree hp
rw [h, degree_C ha, degree_mul, @eq_comm (WithBot ℕ) 0,
Nat.WithBot.add_eq_zero_iff] at this
exact this.1
@[simp]
theorem splits_C (a : K) : Splits i (C a) :=
splits_of_map_eq_C i (map_C i)
theorem splits_of_map_degree_eq_one {f : K[X]} (hf : degree (f.map i) = 1) : Splits i f :=
Or.inr fun hg ⟨p, hp⟩ => by
have := congr_arg degree hp
simp [Nat.WithBot.add_eq_one_iff, hf, @eq_comm (WithBot ℕ) 1,
mt isUnit_iff_degree_eq_zero.2 hg.1] at this
tauto
theorem splits_of_degree_le_one {f : K[X]} (hf : degree f ≤ 1) : Splits i f :=
if hif : degree (f.map i) ≤ 0 then splits_of_map_eq_C i (degree_le_zero_iff.mp hif)
else by
push_neg at hif
rw [← Order.succ_le_iff, ← WithBot.coe_zero, WithBot.orderSucc_coe, Nat.succ_eq_succ] at hif
exact splits_of_map_degree_eq_one i ((degree_map_le.trans hf).antisymm hif)
theorem splits_of_degree_eq_one {f : K[X]} (hf : degree f = 1) : Splits i f :=
splits_of_degree_le_one i hf.le
theorem splits_of_natDegree_le_one {f : K[X]} (hf : natDegree f ≤ 1) : Splits i f :=
splits_of_degree_le_one i (degree_le_of_natDegree_le hf)
theorem splits_of_natDegree_eq_one {f : K[X]} (hf : natDegree f = 1) : Splits i f :=
splits_of_natDegree_le_one i (le_of_eq hf)
theorem splits_mul {f g : K[X]} (hf : Splits i f) (hg : Splits i g) : Splits i (f * g) :=
letI := Classical.decEq L
if h : (f * g).map i = 0 then Or.inl h
else
Or.inr @fun p hp hpf =>
((irreducible_iff_prime.1 hp).2.2 _ _
(show p ∣ map i f * map i g by convert hpf; rw [Polynomial.map_mul])).elim
(hf.resolve_left (fun hf => by simp [hf] at h) hp)
(hg.resolve_left (fun hg => by simp [hg] at h) hp)
theorem splits_of_splits_mul' {f g : K[X]} (hfg : (f * g).map i ≠ 0) (h : Splits i (f * g)) :
Splits i f ∧ Splits i g :=
⟨Or.inr @fun g hgi hg =>
Or.resolve_left h hfg hgi (by rw [Polynomial.map_mul]; exact hg.trans (dvd_mul_right _ _)),
Or.inr @fun g hgi hg =>
Or.resolve_left h hfg hgi (by rw [Polynomial.map_mul]; exact hg.trans (dvd_mul_left _ _))⟩
theorem splits_map_iff (j : L →+* F) {f : K[X]} : Splits j (f.map i) ↔ Splits (j.comp i) f := by
simp [Splits, Polynomial.map_map]
theorem splits_one : Splits i 1 :=
splits_C i 1
theorem splits_of_isUnit [IsDomain K] {u : K[X]} (hu : IsUnit u) : u.Splits i :=
(isUnit_iff.mp hu).choose_spec.2 ▸ splits_C _ _
theorem splits_X_sub_C {x : K} : (X - C x).Splits i :=
splits_of_degree_le_one _ <| degree_X_sub_C_le _
theorem splits_X : X.Splits i :=
splits_of_degree_le_one _ degree_X_le
theorem splits_prod {ι : Type u} {s : ι → K[X]} {t : Finset ι} :
(∀ j ∈ t, (s j).Splits i) → (∏ x ∈ t, s x).Splits i := by
classical
refine Finset.induction_on t (fun _ => splits_one i) fun a t hat ih ht => ?_
rw [Finset.forall_mem_insert] at ht; rw [Finset.prod_insert hat]
exact splits_mul i ht.1 (ih ht.2)
theorem splits_pow {f : K[X]} (hf : f.Splits i) (n : ℕ) : (f ^ n).Splits i := by
rw [← Finset.card_range n, ← Finset.prod_const]
exact splits_prod i fun j _ => hf
theorem splits_X_pow (n : ℕ) : (X ^ n).Splits i :=
splits_pow i (splits_X i) n
theorem splits_id_iff_splits {f : K[X]} : (f.map i).Splits (RingHom.id L) ↔ f.Splits i := by
rw [splits_map_iff, RingHom.id_comp]
variable {i}
theorem Splits.comp_of_map_degree_le_one {f : K[X]} {p : K[X]} (hd : (p.map i).degree ≤ 1)
(h : f.Splits i) : (f.comp p).Splits i := by
by_cases hzero : map i (f.comp p) = 0
· exact Or.inl hzero
cases h with
| inl h0 =>
exact Or.inl <| map_comp i _ _ ▸ h0.symm ▸ zero_comp
| inr h =>
right
intro g irr dvd
rw [map_comp] at dvd hzero
cases lt_or_eq_of_le hd with
| inl hd =>
rw [eq_C_of_degree_le_zero (Nat.WithBot.lt_one_iff_le_zero.mp hd), comp_C] at dvd hzero
refine False.elim (irr.1 (isUnit_of_dvd_unit dvd ?_))
simpa using hzero
| inr hd =>
let _ := invertibleOfNonzero (leadingCoeff_ne_zero.mpr
(ne_zero_of_degree_gt (n := ⊥) (by rw [hd]; decide)))
rw [eq_X_add_C_of_degree_eq_one hd, dvd_comp_C_mul_X_add_C_iff _ _] at dvd
have := h (irr.map (algEquivCMulXAddC _ _).symm) dvd
rw [degree_eq_natDegree irr.ne_zero]
rwa [algEquivCMulXAddC_symm_apply, ← comp_eq_aeval,
degree_eq_natDegree (fun h => WithBot.bot_ne_one (h ▸ this)),
natDegree_comp, natDegree_C_mul (invertibleInvOf.ne_zero),
natDegree_X_sub_C, mul_one] at this
theorem splits_iff_comp_splits_of_degree_eq_one {f : K[X]} {p : K[X]} (hd : (p.map i).degree = 1) :
f.Splits i ↔ (f.comp p).Splits i := by
rw [← splits_id_iff_splits, ← splits_id_iff_splits (f := f.comp p), map_comp]
refine ⟨fun h => Splits.comp_of_map_degree_le_one
(le_of_eq (map_id (R := L) ▸ hd)) h, fun h => ?_⟩
let _ := invertibleOfNonzero (leadingCoeff_ne_zero.mpr
(ne_zero_of_degree_gt (n := ⊥) (by rw [hd]; decide)))
have : (map i f) = ((map i f).comp (map i p)).comp ((C ⅟ (map i p).leadingCoeff *
(X - C ((map i p).coeff 0)))) := by
rw [comp_assoc]
nth_rw 1 [eq_X_add_C_of_degree_eq_one hd]
simp only [coeff_map, invOf_eq_inv, mul_sub, ← C_mul, add_comp, mul_comp, C_comp, X_comp,
← mul_assoc]
simp
refine this ▸ Splits.comp_of_map_degree_le_one ?_ h
simp [degree_C (inv_ne_zero (Invertible.ne_zero (a := (map i p).leadingCoeff)))]
/--
This is a weaker variant of `Splits.comp_of_map_degree_le_one`,
but its conditions are easier to check.
-/
theorem Splits.comp_of_degree_le_one {f : K[X]} {p : K[X]} (hd : p.degree ≤ 1)
(h : f.Splits i) : (f.comp p).Splits i :=
Splits.comp_of_map_degree_le_one (degree_map_le.trans hd) h
theorem Splits.comp_X_sub_C (a : K) {f : K[X]}
(h : f.Splits i) : (f.comp (X - C a)).Splits i :=
Splits.comp_of_degree_le_one (degree_X_sub_C_le _) h
theorem Splits.comp_X_add_C (a : K) {f : K[X]}
(h : f.Splits i) : (f.comp (X + C a)).Splits i :=
Splits.comp_of_degree_le_one (by simpa using degree_X_sub_C_le (-a)) h
theorem Splits.comp_neg_X {f : K[X]} (h : f.Splits i) : (f.comp (-X)).Splits i :=
Splits.comp_of_degree_le_one (by simpa using degree_X_sub_C_le (0 : K)) h
variable (i)
theorem exists_root_of_splits' {f : K[X]} (hs : Splits i f) (hf0 : degree (f.map i) ≠ 0) :
∃ x, eval₂ i x f = 0 :=
letI := Classical.decEq L
if hf0' : f.map i = 0 then by simp [eval₂_eq_eval_map, hf0']
else
let ⟨g, hg⟩ :=
WfDvdMonoid.exists_irreducible_factor
(show ¬IsUnit (f.map i) from mt isUnit_iff_degree_eq_zero.1 hf0) hf0'
let ⟨x, hx⟩ := exists_root_of_degree_eq_one (hs.resolve_left hf0' hg.1 hg.2)
let ⟨i, hi⟩ := hg.2
⟨x, by rw [← eval_map, hi, eval_mul, show _ = _ from hx, zero_mul]⟩
theorem roots_ne_zero_of_splits' {f : K[X]} (hs : Splits i f) (hf0 : natDegree (f.map i) ≠ 0) :
(f.map i).roots ≠ 0 :=
let ⟨x, hx⟩ := exists_root_of_splits' i hs fun h => hf0 <| natDegree_eq_of_degree_eq_some h
fun h => by
rw [← eval_map] at hx
have : f.map i ≠ 0 := by intro; simp_all
cases h.subst ((mem_roots this).2 hx)
/-- Pick a root of a polynomial that splits. See `rootOfSplits` for polynomials over a field
which has simpler assumptions. -/
def rootOfSplits' {f : K[X]} (hf : f.Splits i) (hfd : (f.map i).degree ≠ 0) : L :=
Classical.choose <| exists_root_of_splits' i hf hfd
theorem map_rootOfSplits' {f : K[X]} (hf : f.Splits i) (hfd) :
f.eval₂ i (rootOfSplits' i hf hfd) = 0 :=
Classical.choose_spec <| exists_root_of_splits' i hf hfd
theorem natDegree_eq_card_roots' {p : K[X]} {i : K →+* L} (hsplit : Splits i p) :
(p.map i).natDegree = Multiset.card (p.map i).roots := by
by_cases hp : p.map i = 0
· rw [hp, natDegree_zero, roots_zero, Multiset.card_zero]
obtain ⟨q, he, hd, hr⟩ := exists_prod_multiset_X_sub_C_mul (p.map i)
rw [← splits_id_iff_splits, ← he] at hsplit
rw [← he] at hp
have hq : q ≠ 0 := fun h => hp (by rw [h, mul_zero])
rw [← hd, add_eq_left]
by_contra h
have h' : (map (RingHom.id L) q).natDegree ≠ 0 := by simp [h]
have := roots_ne_zero_of_splits' (RingHom.id L) (splits_of_splits_mul' _ ?_ hsplit).2 h'
· rw [map_id] at this
exact this hr
· rw [map_id]
exact mul_ne_zero (monic_multisetProd_X_sub_C _).ne_zero hq
theorem degree_eq_card_roots' {p : K[X]} {i : K →+* L} (p_ne_zero : p.map i ≠ 0)
(hsplit : Splits i p) : (p.map i).degree = Multiset.card (p.map i).roots := by
simp [degree_eq_natDegree p_ne_zero, natDegree_eq_card_roots' hsplit]
end CommRing
theorem aeval_root_of_mapAlg_eq_multiset_prod_X_sub_C [CommSemiring R] [CommRing L] [Algebra R L]
(s : Multiset L) {x : L} (hx : x ∈ s) {p : R[X]}
(hp : mapAlg R L p = (Multiset.map (fun a : L ↦ X - C a) s).prod) : aeval x p = 0 := by
rw [← aeval_map_algebraMap L, ← mapAlg_eq_map, hp, map_multiset_prod, Multiset.prod_eq_zero]
rw [Multiset.map_map, Multiset.mem_map]
exact ⟨x, hx, by simp⟩
variable [CommRing R] [Field K] [Field L] [Field F]
variable (i : K →+* L)
/-- This lemma is for polynomials over a field. -/
theorem splits_iff (f : K[X]) :
Splits i f ↔ f = 0 ∨ ∀ {g : L[X]}, Irreducible g → g ∣ f.map i → degree g = 1 := by
rw [Splits, Polynomial.map_eq_zero]
/-- This lemma is for polynomials over a field. -/
theorem Splits.def {i : K →+* L} {f : K[X]} (h : Splits i f) :
f = 0 ∨ ∀ {g : L[X]}, Irreducible g → g ∣ f.map i → degree g = 1 :=
(splits_iff i f).mp h
theorem splits_of_splits_mul {f g : K[X]} (hfg : f * g ≠ 0) (h : Splits i (f * g)) :
Splits i f ∧ Splits i g :=
splits_of_splits_mul' i (map_ne_zero hfg) h
theorem splits_of_splits_of_dvd {f g : K[X]} (hf0 : f ≠ 0) (hf : Splits i f) (hgf : g ∣ f) :
Splits i g := by
obtain ⟨f, rfl⟩ := hgf
exact (splits_of_splits_mul i hf0 hf).1
theorem splits_of_splits_gcd_left [DecidableEq K] {f g : K[X]} (hf0 : f ≠ 0) (hf : Splits i f) :
Splits i (EuclideanDomain.gcd f g) :=
Polynomial.splits_of_splits_of_dvd i hf0 hf (EuclideanDomain.gcd_dvd_left f g)
theorem splits_of_splits_gcd_right [DecidableEq K] {f g : K[X]} (hg0 : g ≠ 0) (hg : Splits i g) :
Splits i (EuclideanDomain.gcd f g) :=
Polynomial.splits_of_splits_of_dvd i hg0 hg (EuclideanDomain.gcd_dvd_right f g)
theorem splits_mul_iff {f g : K[X]} (hf : f ≠ 0) (hg : g ≠ 0) :
(f * g).Splits i ↔ f.Splits i ∧ g.Splits i :=
⟨splits_of_splits_mul i (mul_ne_zero hf hg), fun ⟨hfs, hgs⟩ => splits_mul i hfs hgs⟩
theorem splits_prod_iff {ι : Type u} {s : ι → K[X]} {t : Finset ι} :
(∀ j ∈ t, s j ≠ 0) → ((∏ x ∈ t, s x).Splits i ↔ ∀ j ∈ t, (s j).Splits i) := by
classical
refine
Finset.induction_on t (fun _ =>
⟨fun _ _ h => by simp only [Finset.not_mem_empty] at h, fun _ => splits_one i⟩)
fun a t hat ih ht => ?_
rw [Finset.forall_mem_insert] at ht ⊢
rw [Finset.prod_insert hat, splits_mul_iff i ht.1 (Finset.prod_ne_zero_iff.2 ht.2), ih ht.2]
theorem degree_eq_one_of_irreducible_of_splits {p : K[X]} (hp : Irreducible p)
(hp_splits : Splits (RingHom.id K) p) : p.degree = 1 := by
rcases hp_splits with ⟨⟩ | hp_splits
· exfalso
simp_all
· apply hp_splits hp
simp
theorem exists_root_of_splits {f : K[X]} (hs : Splits i f) (hf0 : degree f ≠ 0) :
∃ x, eval₂ i x f = 0 :=
exists_root_of_splits' i hs ((f.degree_map i).symm ▸ hf0)
theorem roots_ne_zero_of_splits {f : K[X]} (hs : Splits i f) (hf0 : natDegree f ≠ 0) :
(f.map i).roots ≠ 0 :=
roots_ne_zero_of_splits' i hs (ne_of_eq_of_ne (natDegree_map i) hf0)
/-- Pick a root of a polynomial that splits. This version is for polynomials over a field and has
simpler assumptions. -/
def rootOfSplits {f : K[X]} (hf : f.Splits i) (hfd : f.degree ≠ 0) : L :=
rootOfSplits' i hf ((f.degree_map i).symm ▸ hfd)
/-- `rootOfSplits'` is definitionally equal to `rootOfSplits`. -/
theorem rootOfSplits'_eq_rootOfSplits {f : K[X]} (hf : f.Splits i) (hfd) :
rootOfSplits' i hf hfd = rootOfSplits i hf (f.degree_map i ▸ hfd) :=
rfl
theorem map_rootOfSplits {f : K[X]} (hf : f.Splits i) (hfd) :
f.eval₂ i (rootOfSplits i hf hfd) = 0 :=
map_rootOfSplits' i hf (ne_of_eq_of_ne (degree_map f i) hfd)
theorem natDegree_eq_card_roots {p : K[X]} {i : K →+* L} (hsplit : Splits i p) :
p.natDegree = Multiset.card (p.map i).roots :=
(natDegree_map i).symm.trans <| natDegree_eq_card_roots' hsplit
theorem degree_eq_card_roots {p : K[X]} {i : K →+* L} (p_ne_zero : p ≠ 0) (hsplit : Splits i p) :
p.degree = Multiset.card (p.map i).roots := by
rw [degree_eq_natDegree p_ne_zero, natDegree_eq_card_roots hsplit]
theorem roots_map {f : K[X]} (hf : f.Splits <| RingHom.id K) : (f.map i).roots = f.roots.map i :=
(roots_map_of_injective_of_card_eq_natDegree i.injective <| by
convert (natDegree_eq_card_roots hf).symm
rw [map_id]).symm
theorem Splits.mem_subfield_of_isRoot (F : Subfield K) {f : F[X]} (hnz : f ≠ 0)
(hf : Splits (RingHom.id F) f) {x : K} (hx : (f.map F.subtype).IsRoot x) :
x ∈ F := by
obtain ⟨x, _, rfl⟩ := Multiset.mem_map.mp
(roots_map F.subtype hf ▸ mem_roots'.mpr ⟨Polynomial.map_ne_zero hnz, hx⟩)
exact x.2
theorem image_rootSet [Algebra R K] [Algebra R L] {p : R[X]} (h : p.Splits (algebraMap R K))
(f : K →ₐ[R] L) : f '' p.rootSet K = p.rootSet L := by
classical
| rw [rootSet, ← Finset.coe_image, ← Multiset.toFinset_map, ← f.coe_toRingHom,
← roots_map _ ((splits_id_iff_splits (algebraMap R K)).mpr h), map_map, f.comp_algebraMap,
← rootSet]
theorem adjoin_rootSet_eq_range [Algebra R K] [Algebra R L] {p : R[X]}
| Mathlib/Algebra/Polynomial/Splits.lean | 363 | 367 |
/-
Copyright (c) 2024 David Kurniadi Angdinata. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Kurniadi Angdinata
-/
import Mathlib.AlgebraicGeometry.EllipticCurve.Group
import Mathlib.NumberTheory.EllipticDivisibilitySequence
/-!
# Division polynomials of Weierstrass curves
This file defines certain polynomials associated to division polynomials of Weierstrass curves.
These are defined in terms of the auxiliary sequences for normalised elliptic divisibility sequences
(EDS) as defined in `Mathlib.NumberTheory.EllipticDivisibilitySequence`.
## Mathematical background
Let `W` be a Weierstrass curve over a commutative ring `R`. The sequence of `n`-division polynomials
`ψₙ ∈ R[X, Y]` of `W` is the normalised EDS with initial values
* `ψ₀ := 0`,
* `ψ₁ := 1`,
* `ψ₂ := 2Y + a₁X + a₃`,
* `ψ₃ := 3X⁴ + b₂X³ + 3b₄X² + 3b₆X + b₈`, and
* `ψ₄ := ψ₂ ⬝ (2X⁶ + b₂X⁵ + 5b₄X⁴ + 10b₆X³ + 10b₈X² + (b₂b₈ - b₄b₆)X + (b₄b₈ - b₆²))`.
Furthermore, define the associated sequences `φₙ, ωₙ ∈ R[X, Y]` by
* `φₙ := Xψₙ² - ψₙ₊₁ ⬝ ψₙ₋₁`, and
* `ωₙ := (ψ₂ₙ / ψₙ - ψₙ ⬝ (a₁φₙ + a₃ψₙ²)) / 2`.
Note that `ωₙ` is always well-defined as a polynomial in `R[X, Y]`. As a start, it can be shown by
induction that `ψₙ` always divides `ψ₂ₙ` in `R[X, Y]`, so that `ψ₂ₙ / ψₙ` is always well-defined as
a polynomial, while division by `2` is well-defined when `R` has characteristic different from `2`.
In general, it can be shown that `2` always divides the polynomial `ψ₂ₙ / ψₙ - ψₙ ⬝ (a₁φₙ + a₃ψₙ²)`
in the characteristic `0` universal ring `𝓡[X, Y] := ℤ[A₁, A₂, A₃, A₄, A₆][X, Y]` of `W`, where the
`Aᵢ` are indeterminates. Then `ωₙ` can be equivalently defined as the image of this division under
the associated universal morphism `𝓡[X, Y] → R[X, Y]` mapping `Aᵢ` to `aᵢ`.
Now, in the coordinate ring `R[W]`, note that `ψ₂²` is congruent to the polynomial
`Ψ₂Sq := 4X³ + b₂X² + 2b₄X + b₆ ∈ R[X]`. As such, the recurrences of a normalised EDS show that
`ψₙ / ψ₂` are congruent to certain polynomials in `R[W]`. In particular, define `preΨₙ ∈ R[X]` as
the auxiliary sequence for a normalised EDS with extra parameter `Ψ₂Sq²` and initial values
* `preΨ₀ := 0`,
* `preΨ₁ := 1`,
* `preΨ₂ := 1`,
* `preΨ₃ := ψ₃`, and
* `preΨ₄ := ψ₄ / ψ₂`.
The corresponding normalised EDS `Ψₙ ∈ R[X, Y]` is then given by
* `Ψₙ := preΨₙ ⬝ ψ₂` if `n` is even, and
* `Ψₙ := preΨₙ` if `n` is odd.
Furthermore, define the associated sequences `ΨSqₙ, Φₙ ∈ R[X]` by
* `ΨSqₙ := preΨₙ² ⬝ Ψ₂Sq` if `n` is even,
* `ΨSqₙ := preΨₙ²` if `n` is odd,
* `Φₙ := XΨSqₙ - preΨₙ₊₁ ⬝ preΨₙ₋₁` if `n` is even, and
* `Φₙ := XΨSqₙ - preΨₙ₊₁ ⬝ preΨₙ₋₁ ⬝ Ψ₂Sq` if `n` is odd.
With these definitions, `ψₙ ∈ R[X, Y]` and `φₙ ∈ R[X, Y]` are congruent in `R[W]` to `Ψₙ ∈ R[X, Y]`
and `Φₙ ∈ R[X]` respectively, which are defined in terms of `Ψ₂Sq ∈ R[X]` and `preΨₙ ∈ R[X]`.
## Main definitions
* `WeierstrassCurve.preΨ`: the univariate polynomials `preΨₙ`.
* `WeierstrassCurve.ΨSq`: the univariate polynomials `ΨSqₙ`.
* `WeierstrassCurve.Ψ`: the bivariate polynomials `Ψₙ`.
* `WeierstrassCurve.Φ`: the univariate polynomials `Φₙ`.
* `WeierstrassCurve.ψ`: the bivariate `n`-division polynomials `ψₙ`.
* `WeierstrassCurve.φ`: the bivariate polynomials `φₙ`.
* TODO: the bivariate polynomials `ωₙ`.
## Implementation notes
Analogously to `Mathlib.NumberTheory.EllipticDivisibilitySequence`, the bivariate polynomials
`Ψₙ` are defined in terms of the univariate polynomials `preΨₙ`. This is done partially to avoid
ring division, but more crucially to allow the definition of `ΨSqₙ` and `Φₙ` as univariate
polynomials without needing to work under the coordinate ring, and to allow the computation of their
leading terms without ambiguity. Furthermore, evaluating these polynomials at a rational point on
`W` recovers their original definition up to linear combinations of the Weierstrass equation of `W`,
hence also avoiding the need to work in the coordinate ring.
TODO: implementation notes for the definition of `ωₙ`.
## References
[J Silverman, *The Arithmetic of Elliptic Curves*][silverman2009]
## Tags
elliptic curve, division polynomial, torsion point
-/
open Polynomial
open scoped Polynomial.Bivariate
local macro "C_simp" : tactic =>
`(tactic| simp only [map_ofNat, C_0, C_1, C_neg, C_add, C_sub, C_mul, C_pow])
local macro "map_simp" : tactic =>
`(tactic| simp only [map_ofNat, map_neg, map_add, map_sub, map_mul, map_pow, map_div₀,
Polynomial.map_ofNat, Polynomial.map_one, map_C, map_X, Polynomial.map_neg, Polynomial.map_add,
Polynomial.map_sub, Polynomial.map_mul, Polynomial.map_pow, Polynomial.map_div, coe_mapRingHom,
apply_ite <| mapRingHom _, WeierstrassCurve.map])
universe r s u v
namespace WeierstrassCurve
variable {R : Type r} {S : Type s} [CommRing R] [CommRing S] (W : WeierstrassCurve R)
section Ψ₂Sq
/-! ### The univariate polynomial `Ψ₂Sq` -/
/-- The `2`-division polynomial `ψ₂ = Ψ₂`. -/
noncomputable def ψ₂ : R[X][Y] :=
W.toAffine.polynomialY
/-- The univariate polynomial `Ψ₂Sq` congruent to `ψ₂²`. -/
noncomputable def Ψ₂Sq : R[X] :=
C 4 * X ^ 3 + C W.b₂ * X ^ 2 + C (2 * W.b₄) * X + C W.b₆
lemma C_Ψ₂Sq : C W.Ψ₂Sq = W.ψ₂ ^ 2 - 4 * W.toAffine.polynomial := by
rw [Ψ₂Sq, ψ₂, b₂, b₄, b₆, Affine.polynomialY, Affine.polynomial]
C_simp
ring1
lemma ψ₂_sq : W.ψ₂ ^ 2 = C W.Ψ₂Sq + 4 * W.toAffine.polynomial := by
rw [C_Ψ₂Sq, sub_add_cancel]
lemma Affine.CoordinateRing.mk_ψ₂_sq : mk W W.ψ₂ ^ 2 = mk W (C W.Ψ₂Sq) := by
rw [C_Ψ₂Sq, map_sub, map_mul, AdjoinRoot.mk_self, mul_zero, sub_zero, map_pow]
-- TODO: remove `twoTorsionPolynomial` in favour of `Ψ₂Sq`
lemma Ψ₂Sq_eq : W.Ψ₂Sq = W.twoTorsionPolynomial.toPoly :=
rfl
end Ψ₂Sq
section preΨ'
/-! ### The univariate polynomials `preΨₙ` for `n ∈ ℕ` -/
/-- The `3`-division polynomial `ψ₃ = Ψ₃`. -/
noncomputable def Ψ₃ : R[X] :=
3 * X ^ 4 + C W.b₂ * X ^ 3 + 3 * C W.b₄ * X ^ 2 + 3 * C W.b₆ * X + C W.b₈
/-- The univariate polynomial `preΨ₄`, which is auxiliary to the 4-division polynomial
`ψ₄ = Ψ₄ = preΨ₄ψ₂`. -/
noncomputable def preΨ₄ : R[X] :=
2 * X ^ 6 + C W.b₂ * X ^ 5 + 5 * C W.b₄ * X ^ 4 + 10 * C W.b₆ * X ^ 3 + 10 * C W.b₈ * X ^ 2 +
C (W.b₂ * W.b₈ - W.b₄ * W.b₆) * X + C (W.b₄ * W.b₈ - W.b₆ ^ 2)
/-- The univariate polynomials `preΨₙ` for `n ∈ ℕ`, which are auxiliary to the bivariate polynomials
`Ψₙ` congruent to the bivariate `n`-division polynomials `ψₙ`. -/
noncomputable def preΨ' (n : ℕ) : R[X] :=
preNormEDS' (W.Ψ₂Sq ^ 2) W.Ψ₃ W.preΨ₄ n
@[simp]
lemma preΨ'_zero : W.preΨ' 0 = 0 :=
preNormEDS'_zero ..
@[simp]
lemma preΨ'_one : W.preΨ' 1 = 1 :=
preNormEDS'_one ..
@[simp]
lemma preΨ'_two : W.preΨ' 2 = 1 :=
preNormEDS'_two ..
@[simp]
lemma preΨ'_three : W.preΨ' 3 = W.Ψ₃ :=
preNormEDS'_three ..
@[simp]
lemma preΨ'_four : W.preΨ' 4 = W.preΨ₄ :=
preNormEDS'_four ..
lemma preΨ'_even (m : ℕ) : W.preΨ' (2 * (m + 3)) =
W.preΨ' (m + 2) ^ 2 * W.preΨ' (m + 3) * W.preΨ' (m + 5) -
W.preΨ' (m + 1) * W.preΨ' (m + 3) * W.preΨ' (m + 4) ^ 2 :=
preNormEDS'_even ..
lemma preΨ'_odd (m : ℕ) : W.preΨ' (2 * (m + 2) + 1) =
W.preΨ' (m + 4) * W.preΨ' (m + 2) ^ 3 * (if Even m then W.Ψ₂Sq ^ 2 else 1) -
W.preΨ' (m + 1) * W.preΨ' (m + 3) ^ 3 * (if Even m then 1 else W.Ψ₂Sq ^ 2) :=
preNormEDS'_odd ..
end preΨ'
section preΨ
/-! ### The univariate polynomials `preΨₙ` for `n ∈ ℤ` -/
/-- The univariate polynomials `preΨₙ` for `n ∈ ℤ`, which are auxiliary to the bivariate polynomials
`Ψₙ` congruent to the bivariate `n`-division polynomials `ψₙ`. -/
noncomputable def preΨ (n : ℤ) : R[X] :=
preNormEDS (W.Ψ₂Sq ^ 2) W.Ψ₃ W.preΨ₄ n
@[simp]
lemma preΨ_ofNat (n : ℕ) : W.preΨ n = W.preΨ' n :=
preNormEDS_ofNat ..
@[simp]
lemma preΨ_zero : W.preΨ 0 = 0 :=
preNormEDS_zero ..
@[simp]
lemma preΨ_one : W.preΨ 1 = 1 :=
preNormEDS_one ..
@[simp]
lemma preΨ_two : W.preΨ 2 = 1 :=
preNormEDS_two ..
@[simp]
lemma preΨ_three : W.preΨ 3 = W.Ψ₃ :=
preNormEDS_three ..
@[simp]
lemma preΨ_four : W.preΨ 4 = W.preΨ₄ :=
preNormEDS_four ..
lemma preΨ_even_ofNat (m : ℕ) : W.preΨ (2 * (m + 3)) =
W.preΨ (m + 2) ^ 2 * W.preΨ (m + 3) * W.preΨ (m + 5) -
W.preΨ (m + 1) * W.preΨ (m + 3) * W.preΨ (m + 4) ^ 2 :=
preNormEDS_even_ofNat ..
lemma preΨ_odd_ofNat (m : ℕ) : W.preΨ (2 * (m + 2) + 1) =
W.preΨ (m + 4) * W.preΨ (m + 2) ^ 3 * (if Even m then W.Ψ₂Sq ^ 2 else 1) -
W.preΨ (m + 1) * W.preΨ (m + 3) ^ 3 * (if Even m then 1 else W.Ψ₂Sq ^ 2) :=
preNormEDS_odd_ofNat ..
@[simp]
lemma preΨ_neg (n : ℤ) : W.preΨ (-n) = -W.preΨ n :=
preNormEDS_neg ..
lemma preΨ_even (m : ℤ) : W.preΨ (2 * m) =
W.preΨ (m - 1) ^ 2 * W.preΨ m * W.preΨ (m + 2) -
W.preΨ (m - 2) * W.preΨ m * W.preΨ (m + 1) ^ 2 :=
preNormEDS_even ..
lemma preΨ_odd (m : ℤ) : W.preΨ (2 * m + 1) =
W.preΨ (m + 2) * W.preΨ m ^ 3 * (if Even m then W.Ψ₂Sq ^ 2 else 1) -
W.preΨ (m - 1) * W.preΨ (m + 1) ^ 3 * (if Even m then 1 else W.Ψ₂Sq ^ 2) :=
preNormEDS_odd ..
end preΨ
section ΨSq
/-! ### The univariate polynomials `ΨSqₙ` -/
/-- The univariate polynomials `ΨSqₙ` congruent to `ψₙ²`. -/
noncomputable def ΨSq (n : ℤ) : R[X] :=
W.preΨ n ^ 2 * if Even n then W.Ψ₂Sq else 1
@[simp]
lemma ΨSq_ofNat (n : ℕ) : W.ΨSq n = W.preΨ' n ^ 2 * if Even n then W.Ψ₂Sq else 1 := by
simp only [ΨSq, preΨ_ofNat, Int.even_coe_nat]
@[simp]
lemma ΨSq_zero : W.ΨSq 0 = 0 := by
rw [← Nat.cast_zero, ΨSq_ofNat, preΨ'_zero, zero_pow two_ne_zero, zero_mul]
@[simp]
lemma ΨSq_one : W.ΨSq 1 = 1 := by
rw [← Nat.cast_one, ΨSq_ofNat, preΨ'_one, one_pow, one_mul, if_neg Nat.not_even_one]
@[simp]
lemma ΨSq_two : W.ΨSq 2 = W.Ψ₂Sq := by
rw [← Nat.cast_two, ΨSq_ofNat, preΨ'_two, one_pow, one_mul, if_pos even_two]
@[simp]
lemma ΨSq_three : W.ΨSq 3 = W.Ψ₃ ^ 2 := by
rw [← Nat.cast_three, ΨSq_ofNat, preΨ'_three, if_neg <| by decide, mul_one]
@[simp]
lemma ΨSq_four : W.ΨSq 4 = W.preΨ₄ ^ 2 * W.Ψ₂Sq := by
rw [← Nat.cast_four, ΨSq_ofNat, preΨ'_four, if_pos <| by decide]
lemma ΨSq_even_ofNat (m : ℕ) : W.ΨSq (2 * (m + 3)) =
(W.preΨ' (m + 2) ^ 2 * W.preΨ' (m + 3) * W.preΨ' (m + 5) -
W.preΨ' (m + 1) * W.preΨ' (m + 3) * W.preΨ' (m + 4) ^ 2) ^ 2 * W.Ψ₂Sq := by
rw_mod_cast [ΨSq_ofNat, preΨ'_even, if_pos <| even_two_mul _]
lemma ΨSq_odd_ofNat (m : ℕ) : W.ΨSq (2 * (m + 2) + 1) =
(W.preΨ' (m + 4) * W.preΨ' (m + 2) ^ 3 * (if Even m then W.Ψ₂Sq ^ 2 else 1) -
W.preΨ' (m + 1) * W.preΨ' (m + 3) ^ 3 * (if Even m then 1 else W.Ψ₂Sq ^ 2)) ^ 2 := by
rw_mod_cast [ΨSq_ofNat, preΨ'_odd, if_neg (m + 2).not_even_two_mul_add_one, mul_one]
@[simp]
lemma ΨSq_neg (n : ℤ) : W.ΨSq (-n) = W.ΨSq n := by
simp only [ΨSq, preΨ_neg, neg_sq, even_neg]
lemma ΨSq_even (m : ℤ) : W.ΨSq (2 * m) =
(W.preΨ (m - 1) ^ 2 * W.preΨ m * W.preΨ (m + 2) -
W.preΨ (m - 2) * W.preΨ m * W.preΨ (m + 1) ^ 2) ^ 2 * W.Ψ₂Sq := by
rw [ΨSq, preΨ_even, if_pos <| even_two_mul _]
lemma ΨSq_odd (m : ℤ) : W.ΨSq (2 * m + 1) =
(W.preΨ (m + 2) * W.preΨ m ^ 3 * (if Even m then W.Ψ₂Sq ^ 2 else 1) -
W.preΨ (m - 1) * W.preΨ (m + 1) ^ 3 * (if Even m then 1 else W.Ψ₂Sq ^ 2)) ^ 2 := by
rw [ΨSq, preΨ_odd, if_neg m.not_even_two_mul_add_one, mul_one]
end ΨSq
section Ψ
/-! ### The bivariate polynomials `Ψₙ` -/
/-- The bivariate polynomials `Ψₙ` congruent to the `n`-division polynomials `ψₙ`. -/
protected noncomputable def Ψ (n : ℤ) : R[X][Y] :=
C (W.preΨ n) * if Even n then W.ψ₂ else 1
open WeierstrassCurve (Ψ)
@[simp]
lemma Ψ_ofNat (n : ℕ) : W.Ψ n = C (W.preΨ' n) * if Even n then W.ψ₂ else 1 := by
simp only [Ψ, preΨ_ofNat, Int.even_coe_nat]
@[simp]
lemma Ψ_zero : W.Ψ 0 = 0 := by
rw [← Nat.cast_zero, Ψ_ofNat, preΨ'_zero, C_0, zero_mul]
@[simp]
lemma Ψ_one : W.Ψ 1 = 1 := by
rw [← Nat.cast_one, Ψ_ofNat, preΨ'_one, C_1, if_neg Nat.not_even_one, mul_one]
@[simp]
lemma Ψ_two : W.Ψ 2 = W.ψ₂ := by
rw [← Nat.cast_two, Ψ_ofNat, preΨ'_two, C_1, one_mul, if_pos even_two]
@[simp]
lemma Ψ_three : W.Ψ 3 = C W.Ψ₃ := by
rw [← Nat.cast_three, Ψ_ofNat, preΨ'_three, if_neg <| by decide, mul_one]
@[simp]
lemma Ψ_four : W.Ψ 4 = C W.preΨ₄ * W.ψ₂ := by
rw [← Nat.cast_four, Ψ_ofNat, preΨ'_four, if_pos <| by decide]
|
lemma Ψ_even_ofNat (m : ℕ) : W.Ψ (2 * (m + 3)) * W.ψ₂ =
W.Ψ (m + 2) ^ 2 * W.Ψ (m + 3) * W.Ψ (m + 5) - W.Ψ (m + 1) * W.Ψ (m + 3) * W.Ψ (m + 4) ^ 2 := by
| Mathlib/AlgebraicGeometry/EllipticCurve/DivisionPolynomial/Basic.lean | 340 | 342 |
/-
Copyright (c) 2019 Neil Strickland. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Neil Strickland
-/
import Mathlib.Tactic.Ring
import Mathlib.Data.PNat.Prime
/-!
# Euclidean algorithm for ℕ
This file sets up a version of the Euclidean algorithm that only works with natural numbers.
Given `0 < a, b`, it computes the unique `(w, x, y, z, d)` such that the following identities hold:
* `a = (w + x) d`
* `b = (y + z) d`
* `w * z = x * y + 1`
`d` is then the gcd of `a` and `b`, and `a' := a / d = w + x` and `b' := b / d = y + z` are coprime.
This story is closely related to the structure of SL₂(ℕ) (as a free monoid on two generators) and
the theory of continued fractions.
## Main declarations
* `XgcdType`: Helper type in defining the gcd. Encapsulates `(wp, x, y, zp, ap, bp)`. where `wp`
`zp`, `ap`, `bp` are the variables getting changed through the algorithm.
* `IsSpecial`: States `wp * zp = x * y + 1`
* `IsReduced`: States `ap = a ∧ bp = b`
## Notes
See `Nat.Xgcd` for a very similar algorithm allowing values in `ℤ`.
-/
open Nat
namespace PNat
/-- A term of `XgcdType` is a system of six naturals. They should
be thought of as representing the matrix
[[w, x], [y, z]] = [[wp + 1, x], [y, zp + 1]]
together with the vector [a, b] = [ap + 1, bp + 1].
-/
structure XgcdType where
/-- `wp` is a variable which changes through the algorithm. -/
wp : ℕ
/-- `x` satisfies `a / d = w + x` at the final step. -/
x : ℕ
/-- `y` satisfies `b / d = z + y` at the final step. -/
y : ℕ
/-- `zp` is a variable which changes through the algorithm. -/
zp : ℕ
/-- `ap` is a variable which changes through the algorithm. -/
ap : ℕ
/-- `bp` is a variable which changes through the algorithm. -/
bp : ℕ
deriving Inhabited
namespace XgcdType
variable (u : XgcdType)
instance : SizeOf XgcdType :=
⟨fun u => u.bp⟩
/-- The `Repr` instance converts terms to strings in a way that
reflects the matrix/vector interpretation as above. -/
instance : Repr XgcdType where
reprPrec
| g, _ => s!"[[[{repr (g.wp + 1)}, {repr g.x}], \
[{repr g.y}, {repr (g.zp + 1)}]], \
[{repr (g.ap + 1)}, {repr (g.bp + 1)}]]"
/-- Another `mk` using ℕ and ℕ+ -/
def mk' (w : ℕ+) (x : ℕ) (y : ℕ) (z : ℕ+) (a : ℕ+) (b : ℕ+) : XgcdType :=
mk w.val.pred x y z.val.pred a.val.pred b.val.pred
/-- `w = wp + 1` -/
def w : ℕ+ :=
succPNat u.wp
/-- `z = zp + 1` -/
def z : ℕ+ :=
succPNat u.zp
/-- `a = ap + 1` -/
def a : ℕ+ :=
succPNat u.ap
/-- `b = bp + 1` -/
def b : ℕ+ :=
succPNat u.bp
/-- `r = a % b`: remainder -/
def r : ℕ :=
(u.ap + 1) % (u.bp + 1)
/-- `q = ap / bp`: quotient -/
def q : ℕ :=
(u.ap + 1) / (u.bp + 1)
/-- `qp = q - 1` -/
def qp : ℕ :=
u.q - 1
/-- The map `v` gives the product of the matrix
[[w, x], [y, z]] = [[wp + 1, x], [y, zp + 1]]
and the vector [a, b] = [ap + 1, bp + 1]. The map
`vp` gives [sp, tp] such that v = [sp + 1, tp + 1].
-/
def vp : ℕ × ℕ :=
⟨u.wp + u.x + u.ap + u.wp * u.ap + u.x * u.bp, u.y + u.zp + u.bp + u.y * u.ap + u.zp * u.bp⟩
/-- `v = [sp + 1, tp + 1]`, check `vp` -/
def v : ℕ × ℕ :=
⟨u.w * u.a + u.x * u.b, u.y * u.a + u.z * u.b⟩
/-- `succ₂ [t.1, t.2] = [t.1.succ, t.2.succ]` -/
def succ₂ (t : ℕ × ℕ) : ℕ × ℕ :=
⟨t.1.succ, t.2.succ⟩
theorem v_eq_succ_vp : u.v = succ₂ u.vp := by
ext <;> dsimp [v, vp, w, z, a, b, succ₂] <;> ring_nf
/-- `IsSpecial` holds if the matrix has determinant one. -/
def IsSpecial : Prop :=
u.wp + u.zp + u.wp * u.zp = u.x * u.y
/-- `IsSpecial'` is an alternative of `IsSpecial`. -/
def IsSpecial' : Prop :=
u.w * u.z = succPNat (u.x * u.y)
theorem isSpecial_iff : u.IsSpecial ↔ u.IsSpecial' := by
dsimp [IsSpecial, IsSpecial']
let ⟨wp, x, y, zp, ap, bp⟩ := u
constructor <;> intro h <;> simp only [w, succPNat, succ_eq_add_one, z] at * <;>
simp only [← coe_inj, mul_coe, mk_coe] at *
· simp_all [← h]; ring
· simp [Nat.mul_add, Nat.add_mul, ← Nat.add_assoc] at h; rw [← h]; ring
/-- `IsReduced` holds if the two entries in the vector are the
same. The reduction algorithm will produce a system with this
property, whose product vector is the same as for the original
system. -/
def IsReduced : Prop :=
u.ap = u.bp
/-- `IsReduced'` is an alternative of `IsReduced`. -/
def IsReduced' : Prop :=
u.a = u.b
theorem isReduced_iff : u.IsReduced ↔ u.IsReduced' :=
succPNat_inj.symm
/-- `flip` flips the placement of variables during the algorithm. -/
def flip : XgcdType where
wp := u.zp
x := u.y
y := u.x
zp := u.wp
ap := u.bp
bp := u.ap
@[simp]
theorem flip_w : (flip u).w = u.z :=
rfl
@[simp]
theorem flip_x : (flip u).x = u.y :=
rfl
@[simp]
theorem flip_y : (flip u).y = u.x :=
rfl
@[simp]
theorem flip_z : (flip u).z = u.w :=
rfl
@[simp]
theorem flip_a : (flip u).a = u.b :=
rfl
@[simp]
theorem flip_b : (flip u).b = u.a :=
rfl
theorem flip_isReduced : (flip u).IsReduced ↔ u.IsReduced := by
dsimp [IsReduced, flip]
constructor <;> intro h <;> exact h.symm
theorem flip_isSpecial : (flip u).IsSpecial ↔ u.IsSpecial := by
dsimp [IsSpecial, flip]
rw [mul_comm u.x, mul_comm u.zp, add_comm u.zp]
theorem flip_v : (flip u).v = u.v.swap := by
dsimp [v]
ext
· simp only
ring
· simp only
ring
/-- Properties of division with remainder for a / b. -/
theorem rq_eq : u.r + (u.bp + 1) * u.q = u.ap + 1 :=
Nat.mod_add_div (u.ap + 1) (u.bp + 1)
theorem qp_eq (hr : u.r = 0) : u.q = u.qp + 1 := by
by_cases hq : u.q = 0
· let h := u.rq_eq
rw [hr, hq, mul_zero, add_zero] at h
cases h
· exact (Nat.succ_pred_eq_of_pos (Nat.pos_of_ne_zero hq)).symm
/-- The following function provides the starting point for
our algorithm. We will apply an iterative reduction process
to it, which will produce a system satisfying IsReduced.
The gcd can be read off from this final system.
-/
def start (a b : ℕ+) : XgcdType :=
⟨0, 0, 0, 0, a - 1, b - 1⟩
theorem start_isSpecial (a b : ℕ+) : (start a b).IsSpecial := by
dsimp [start, IsSpecial]
theorem start_v (a b : ℕ+) : (start a b).v = ⟨a, b⟩ := by
dsimp [start, v, XgcdType.a, XgcdType.b, w, z]
rw [one_mul, one_mul, zero_mul, zero_mul]
have := a.pos
have := b.pos
congr <;> omega
/-- `finish` happens when the reducing process ends. -/
def finish : XgcdType :=
XgcdType.mk u.wp ((u.wp + 1) * u.qp + u.x) u.y (u.y * u.qp + u.zp) u.bp u.bp
theorem finish_isReduced : u.finish.IsReduced := by
dsimp [IsReduced]
rfl
theorem finish_isSpecial (hs : u.IsSpecial) : u.finish.IsSpecial := by
dsimp [IsSpecial, finish] at hs ⊢
rw [add_mul _ _ u.y, add_comm _ (u.x * u.y), ← hs]
ring
theorem finish_v (hr : u.r = 0) : u.finish.v = u.v := by
let ha : u.r + u.b * u.q = u.a := u.rq_eq
rw [hr, zero_add] at ha
ext
· change (u.wp + 1) * u.b + ((u.wp + 1) * u.qp + u.x) * u.b = u.w * u.a + u.x * u.b
have : u.wp + 1 = u.w := rfl
rw [this, ← ha, u.qp_eq hr]
ring
· change u.y * u.b + (u.y * u.qp + u.z) * u.b = u.y * u.a + u.z * u.b
rw [← ha, u.qp_eq hr]
ring
/-- This is the main reduction step, which is used when u.r ≠ 0, or
equivalently b does not divide a. -/
def step : XgcdType :=
XgcdType.mk (u.y * u.q + u.zp) u.y ((u.wp + 1) * u.q + u.x) u.wp u.bp (u.r - 1)
/-- We will apply the above step recursively. The following result
is used to ensure that the process terminates. -/
theorem step_wf (hr : u.r ≠ 0) : SizeOf.sizeOf u.step < SizeOf.sizeOf u := by
change u.r - 1 < u.bp
have h₀ : u.r - 1 + 1 = u.r := Nat.succ_pred_eq_of_pos (Nat.pos_of_ne_zero hr)
have h₁ : u.r < u.bp + 1 := Nat.mod_lt (u.ap + 1) u.bp.succ_pos
rw [← h₀] at h₁
exact lt_of_succ_lt_succ h₁
theorem step_isSpecial (hs : u.IsSpecial) : u.step.IsSpecial := by
dsimp [IsSpecial, step] at hs ⊢
rw [mul_add, mul_comm u.y u.x, ← hs]
ring
/-- The reduction step does not change the product vector. -/
theorem step_v (hr : u.r ≠ 0) : u.step.v = u.v.swap := by
let ha : u.r + u.b * u.q = u.a := u.rq_eq
let hr : u.r - 1 + 1 = u.r := (add_comm _ 1).trans (add_tsub_cancel_of_le (Nat.pos_of_ne_zero hr))
ext
· change ((u.y * u.q + u.z) * u.b + u.y * (u.r - 1 + 1) : ℕ) = u.y * u.a + u.z * u.b
rw [← ha, hr]
ring
· change ((u.w * u.q + u.x) * u.b + u.w * (u.r - 1 + 1) : ℕ) = u.w * u.a + u.x * u.b
rw [← ha, hr]
ring
/-- We can now define the full reduction function, which applies
step as long as possible, and then applies finish. Note that the
"have" statement puts a fact in the local context, and the
equation compiler uses this fact to help construct the full
definition in terms of well-founded recursion. The same fact
needs to be introduced in all the inductive proofs of properties
given below. -/
def reduce (u : XgcdType) : XgcdType :=
dite (u.r = 0) (fun _ => u.finish) fun _h =>
flip (reduce u.step)
decreasing_by apply u.step_wf _h
theorem reduce_a {u : XgcdType} (h : u.r = 0) : u.reduce = u.finish := by
rw [reduce]
exact if_pos h
theorem reduce_b {u : XgcdType} (h : u.r ≠ 0) : u.reduce = u.step.reduce.flip := by
rw [reduce]
exact if_neg h
theorem reduce_isReduced : ∀ u : XgcdType, u.reduce.IsReduced
| u =>
dite (u.r = 0)
(fun h => by
rw [reduce_a h]
exact u.finish_isReduced)
fun h => by
have : SizeOf.sizeOf u.step < SizeOf.sizeOf u := u.step_wf h
rw [reduce_b h, flip_isReduced]
apply reduce_isReduced
theorem reduce_isReduced' (u : XgcdType) : u.reduce.IsReduced' :=
(isReduced_iff _).mp u.reduce_isReduced
|
theorem reduce_isSpecial : ∀ u : XgcdType, u.IsSpecial → u.reduce.IsSpecial
| u =>
dite (u.r = 0)
(fun h hs => by
rw [reduce_a h]
exact u.finish_isSpecial hs)
fun h hs => by
have : SizeOf.sizeOf u.step < SizeOf.sizeOf u := u.step_wf h
rw [reduce_b h]
| Mathlib/Data/PNat/Xgcd.lean | 322 | 331 |
/-
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
theorem coeff_X_mul_zero (p : R[X]) : coeff (X * p) 0 = 0 := by simp
theorem coeff_C_mul_X_pow (x : R) (k n : ℕ) :
coeff (C x * X ^ k : R[X]) n = if n = k then x else 0 := by
rw [C_mul_X_pow_eq_monomial, coeff_monomial]
congr 1
simp [eq_comm]
theorem coeff_C_mul_X (x : R) (n : ℕ) : coeff (C x * X : R[X]) n = if n = 1 then x else 0 := by
rw [← pow_one X, coeff_C_mul_X_pow]
@[simp]
theorem coeff_C_mul (p : R[X]) : coeff (C a * p) n = a * coeff p n := by
rcases p with ⟨p⟩
simp_rw [← monomial_zero_left, ← ofFinsupp_single, ← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.single_zero_mul_apply p a n
theorem C_mul' (a : R) (f : R[X]) : C a * f = a • f := by
ext
rw [coeff_C_mul, coeff_smul, smul_eq_mul]
@[simp]
theorem coeff_mul_C (p : R[X]) (n : ℕ) (a : R) : coeff (p * C a) n = coeff p n * a := by
rcases p with ⟨p⟩
simp_rw [← monomial_zero_left, ← ofFinsupp_single, ← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.mul_single_zero_apply p a n
@[simp] lemma coeff_mul_natCast {a k : ℕ} :
coeff (p * (a : R[X])) k = coeff p k * (↑a : R) := coeff_mul_C _ _ _
@[simp] lemma coeff_natCast_mul {a k : ℕ} :
coeff ((a : R[X]) * p) k = a * coeff p k := coeff_C_mul _
@[simp] lemma coeff_mul_ofNat {a k : ℕ} [Nat.AtLeastTwo a] :
coeff (p * (ofNat(a) : R[X])) k = coeff p k * ofNat(a) := coeff_mul_C _ _ _
@[simp] lemma coeff_ofNat_mul {a k : ℕ} [Nat.AtLeastTwo a] :
coeff ((ofNat(a) : R[X]) * p) k = ofNat(a) * coeff p k := coeff_C_mul _
@[simp] lemma coeff_mul_intCast [Ring S] {p : S[X]} {a : ℤ} {k : ℕ} :
coeff (p * (a : S[X])) k = coeff p k * (↑a : S) := coeff_mul_C _ _ _
@[simp] lemma coeff_intCast_mul [Ring S] {p : S[X]} {a : ℤ} {k : ℕ} :
coeff ((a : S[X]) * p) k = a * coeff p k := coeff_C_mul _
@[simp]
theorem coeff_X_pow (k n : ℕ) : coeff (X ^ k : R[X]) n = if n = k then 1 else 0 := by
simp only [one_mul, RingHom.map_one, ← coeff_C_mul_X_pow]
theorem coeff_X_pow_self (n : ℕ) : coeff (X ^ n : R[X]) n = 1 := by simp
section Fewnomials
open Finset
theorem support_binomial {k m : ℕ} (hkm : k ≠ m) {x y : R} (hx : x ≠ 0) (hy : y ≠ 0) :
support (C x * X ^ k + C y * X ^ m) = {k, m} := by
apply subset_antisymm (support_binomial' k m x y)
simp_rw [insert_subset_iff, singleton_subset_iff, mem_support_iff, coeff_add, coeff_C_mul,
coeff_X_pow_self, mul_one, coeff_X_pow, if_neg hkm, if_neg hkm.symm, mul_zero, zero_add,
add_zero, Ne, hx, hy, not_false_eq_true, and_true]
theorem support_trinomial {k m n : ℕ} (hkm : k < m) (hmn : m < n) {x y z : R} (hx : x ≠ 0)
(hy : y ≠ 0) (hz : z ≠ 0) :
support (C x * X ^ k + C y * X ^ m + C z * X ^ n) = {k, m, n} := by
apply subset_antisymm (support_trinomial' k m n x y z)
simp_rw [insert_subset_iff, singleton_subset_iff, mem_support_iff, coeff_add, coeff_C_mul,
coeff_X_pow_self, mul_one, coeff_X_pow, if_neg hkm.ne, if_neg hkm.ne', if_neg hmn.ne,
if_neg hmn.ne', if_neg (hkm.trans hmn).ne, if_neg (hkm.trans hmn).ne', mul_zero, add_zero,
zero_add, Ne, hx, hy, hz, not_false_eq_true, and_true]
theorem card_support_binomial {k m : ℕ} (h : k ≠ m) {x y : R} (hx : x ≠ 0) (hy : y ≠ 0) :
#(support (C x * X ^ k + C y * X ^ m)) = 2 := by
rw [support_binomial h hx hy, card_insert_of_not_mem (mt mem_singleton.mp h), card_singleton]
|
theorem card_support_trinomial {k m n : ℕ} (hkm : k < m) (hmn : m < n) {x y z : R} (hx : x ≠ 0)
| Mathlib/Algebra/Polynomial/Coeff.lean | 211 | 212 |
/-
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]
theorem Sum.mem_uniformity_iff_glueDist (hε : 0 < ε) (s : Set ((X ⊕ Y) × (X ⊕ Y))) :
s ∈ 𝓤 (X ⊕ Y) ↔ ∃ δ > 0, ∀ a b, glueDist Φ Ψ ε a b < δ → (a, b) ∈ s := by
simp only [Sum.uniformity, Filter.mem_sup, Filter.mem_map, mem_uniformity_dist, mem_preimage]
constructor
· rintro ⟨⟨δX, δX0, hX⟩, δY, δY0, hY⟩
refine ⟨min (min δX δY) ε, lt_min (lt_min δX0 δY0) hε, ?_⟩
rintro (a | a) (b | b) h <;> simp only [lt_min_iff] at h
· exact hX h.1.1
· exact absurd h.2 (le_glueDist_inl_inr _ _ _ _ _).not_lt
· exact absurd h.2 (le_glueDist_inr_inl _ _ _ _ _).not_lt
· exact hY h.1.2
· rintro ⟨ε, ε0, H⟩
constructor <;> exact ⟨ε, ε0, fun _ _ h => H _ _ h⟩
/-- Given two maps `Φ` and `Ψ` intro metric spaces `X` and `Y` such that the distances between
`Φ p` and `Φ q`, and between `Ψ p` and `Ψ q`, coincide up to `2 ε` where `ε > 0`, one can almost
glue the two spaces `X` and `Y` along the images of `Φ` and `Ψ`, so that `Φ p` and `Ψ p` are
at distance `ε`. -/
def glueMetricApprox [Nonempty Z] (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) (ε0 : 0 < ε)
(H : ∀ p q, |dist (Φ p) (Φ q) - dist (Ψ p) (Ψ q)| ≤ 2 * ε) : MetricSpace (X ⊕ Y) where
dist := glueDist Φ Ψ ε
dist_self := glueDist_self Φ Ψ ε
dist_comm := glueDist_comm Φ Ψ ε
dist_triangle := glueDist_triangle Φ Ψ ε H
eq_of_dist_eq_zero := eq_of_glueDist_eq_zero Φ Ψ ε ε0 _ _
toUniformSpace := Sum.instUniformSpace
uniformity_dist := uniformity_dist_of_mem_uniformity _ _ <| Sum.mem_uniformity_iff_glueDist ε0
end ApproxGluing
section Sum
/-!
### Metric on `X ⊕ Y`
A particular case of the previous construction is when one uses basepoints in `X` and `Y` and one
glues only along the basepoints, putting them at distance 1. We give a direct definition of
the distance, without `iInf`, as it is easier to use in applications, and show that it is equal to
the gluing distance defined above to take advantage of the lemmas we have already proved.
-/
variable {X : Type u} {Y : Type v} {Z : Type w}
variable [MetricSpace X] [MetricSpace Y]
/-- Distance on a disjoint union. There are many (noncanonical) ways to put a distance compatible
with each factor.
If the two spaces are bounded, one can say for instance that each point in the first is at distance
`diam X + diam Y + 1` of each point in the second.
Instead, we choose a construction that works for unbounded spaces, but requires basepoints,
chosen arbitrarily.
We embed isometrically each factor, set the basepoints at distance 1,
arbitrarily, and say that the distance from `a` to `b` is the sum of the distances of `a` and `b` to
their respective basepoints, plus the distance 1 between the basepoints.
Since there is an arbitrary choice in this construction, it is not an instance by default. -/
protected def Sum.dist : X ⊕ Y → X ⊕ Y → ℝ
| .inl a, .inl a' => dist a a'
| .inr b, .inr b' => dist b b'
| .inl a, .inr b => dist a (Nonempty.some ⟨a⟩) + 1 + dist (Nonempty.some ⟨b⟩) b
| .inr b, .inl a => dist b (Nonempty.some ⟨b⟩) + 1 + dist (Nonempty.some ⟨a⟩) a
theorem Sum.dist_eq_glueDist {p q : X ⊕ Y} (x : X) (y : Y) :
Sum.dist p q =
glueDist (fun _ : Unit => Nonempty.some ⟨x⟩) (fun _ : Unit => Nonempty.some ⟨y⟩) 1 p q := by
cases p <;> cases q <;> first |rfl|simp [Sum.dist, glueDist, dist_comm, add_comm,
add_left_comm, add_assoc]
private theorem Sum.dist_comm (x y : X ⊕ Y) : Sum.dist x y = Sum.dist y x := by
cases x <;> cases y <;> simp [Sum.dist, _root_.dist_comm, add_comm, add_left_comm, add_assoc]
theorem Sum.one_le_dist_inl_inr {x : X} {y : Y} : 1 ≤ Sum.dist (.inl x) (.inr y) :=
le_trans (le_add_of_nonneg_right dist_nonneg) <|
add_le_add_right (le_add_of_nonneg_left dist_nonneg) _
theorem Sum.one_le_dist_inr_inl {x : X} {y : Y} : 1 ≤ Sum.dist (.inr y) (.inl x) := by
rw [Sum.dist_comm]; exact Sum.one_le_dist_inl_inr
private theorem Sum.mem_uniformity (s : Set ((X ⊕ Y) × (X ⊕ Y))) :
s ∈ 𝓤 (X ⊕ Y) ↔ ∃ ε > 0, ∀ a b, Sum.dist a b < ε → (a, b) ∈ s := by
constructor
· rintro ⟨hsX, hsY⟩
rcases mem_uniformity_dist.1 hsX with ⟨εX, εX0, hX⟩
rcases mem_uniformity_dist.1 hsY with ⟨εY, εY0, hY⟩
refine ⟨min (min εX εY) 1, lt_min (lt_min εX0 εY0) zero_lt_one, ?_⟩
rintro (a | a) (b | b) h
· exact hX (lt_of_lt_of_le h (le_trans (min_le_left _ _) (min_le_left _ _)))
· cases not_le_of_lt (lt_of_lt_of_le h (min_le_right _ _)) Sum.one_le_dist_inl_inr
· cases not_le_of_lt (lt_of_lt_of_le h (min_le_right _ _)) Sum.one_le_dist_inr_inl
· exact hY (lt_of_lt_of_le h (le_trans (min_le_left _ _) (min_le_right _ _)))
· rintro ⟨ε, ε0, H⟩
constructor <;> rw [Filter.mem_map, mem_uniformity_dist] <;> exact ⟨ε, ε0, fun _ _ h => H _ _ h⟩
/-- The distance on the disjoint union indeed defines a metric space. All the distance properties
follow from our choice of the distance. The harder work is to show that the uniform structure
defined by the distance coincides with the disjoint union uniform structure. -/
def metricSpaceSum : MetricSpace (X ⊕ Y) where
dist := Sum.dist
dist_self x := by cases x <;> simp only [Sum.dist, dist_self]
dist_comm := Sum.dist_comm
dist_triangle
| .inl p, .inl q, .inl r => dist_triangle p q r
| .inl p, .inr q, _ => by
simp only [Sum.dist_eq_glueDist p q]
exact glueDist_triangle _ _ _ (by norm_num) _ _ _
| _, .inl q, .inr r => by
simp only [Sum.dist_eq_glueDist q r]
exact glueDist_triangle _ _ _ (by norm_num) _ _ _
| .inr p, _, .inl r => by
simp only [Sum.dist_eq_glueDist r p]
exact glueDist_triangle _ _ _ (by norm_num) _ _ _
| .inr p, .inr q, .inr r => dist_triangle p q r
eq_of_dist_eq_zero {p q} h := by
rcases p with p | p <;> rcases q with q | q
· rw [eq_of_dist_eq_zero h]
· exact eq_of_glueDist_eq_zero _ _ _ one_pos _ _ ((Sum.dist_eq_glueDist p q).symm.trans h)
· exact eq_of_glueDist_eq_zero _ _ _ one_pos _ _ ((Sum.dist_eq_glueDist q p).symm.trans h)
· rw [eq_of_dist_eq_zero h]
toUniformSpace := Sum.instUniformSpace
uniformity_dist := uniformity_dist_of_mem_uniformity _ _ Sum.mem_uniformity
attribute [local instance] metricSpaceSum
theorem Sum.dist_eq {x y : X ⊕ Y} : dist x y = Sum.dist x y := rfl
/-- The left injection of a space in a disjoint union is an isometry -/
theorem isometry_inl : Isometry (Sum.inl : X → X ⊕ Y) :=
Isometry.of_dist_eq fun _ _ => rfl
/-- The right injection of a space in a disjoint union is an isometry -/
theorem isometry_inr : Isometry (Sum.inr : Y → X ⊕ Y) :=
Isometry.of_dist_eq fun _ _ => rfl
end Sum
namespace Sigma
/- Copy of the previous paragraph, but for arbitrary disjoint unions instead of the disjoint union
of two spaces. I.e., work with sigma types instead of sum types. -/
variable {ι : Type*} {E : ι → Type*} [∀ i, MetricSpace (E i)]
open Classical in
/-- Distance on a disjoint union. There are many (noncanonical) ways to put a distance compatible
with each factor.
We choose a construction that works for unbounded spaces, but requires basepoints,
chosen arbitrarily.
We embed isometrically each factor, set the basepoints at distance 1, arbitrarily,
and say that the distance from `a` to `b` is the sum of the distances of `a` and `b` to
their respective basepoints, plus the distance 1 between the basepoints.
Since there is an arbitrary choice in this construction, it is not an instance by default. -/
protected def dist : (Σ i, E i) → (Σ i, E i) → ℝ
| ⟨i, x⟩, ⟨j, y⟩ =>
if h : i = j then
haveI : E j = E i := by rw [h]
Dist.dist x (cast this y)
else Dist.dist x (Nonempty.some ⟨x⟩) + 1 + Dist.dist (Nonempty.some ⟨y⟩) y
/-- A `Dist` instance on the disjoint union `Σ i, E i`.
We embed isometrically each factor, set the basepoints at distance 1, arbitrarily,
and say that the distance from `a` to `b` is the sum of the distances of `a` and `b` to
their respective basepoints, plus the distance 1 between the basepoints.
Since there is an arbitrary choice in this construction, it is not an instance by default. -/
def instDist : Dist (Σ i, E i) :=
⟨Sigma.dist⟩
attribute [local instance] Sigma.instDist
@[simp]
theorem dist_same (i : ι) (x y : E i) : dist (Sigma.mk i x) ⟨i, y⟩ = dist x y := by
simp [Dist.dist, Sigma.dist]
@[simp]
theorem dist_ne {i j : ι} (h : i ≠ j) (x : E i) (y : E j) :
dist (⟨i, x⟩ : Σk, E k) ⟨j, y⟩ = dist x (Nonempty.some ⟨x⟩) + 1 + dist (Nonempty.some ⟨y⟩) y :=
dif_neg h
theorem one_le_dist_of_ne {i j : ι} (h : i ≠ j) (x : E i) (y : E j) :
1 ≤ dist (⟨i, x⟩ : Σk, E k) ⟨j, y⟩ := by
rw [Sigma.dist_ne h x y]
linarith [@dist_nonneg _ _ x (Nonempty.some ⟨x⟩), @dist_nonneg _ _ (Nonempty.some ⟨y⟩) y]
theorem fst_eq_of_dist_lt_one (x y : Σ i, E i) (h : dist x y < 1) : x.1 = y.1 := by
cases x; cases y
| contrapose! h
apply one_le_dist_of_ne h
| Mathlib/Topology/MetricSpace/Gluing.lean | 339 | 340 |
/-
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.Lattice.Fold
import Mathlib.Data.Fintype.Vector
import Mathlib.Data.Multiset.Sym
/-!
# Symmetric powers of a finset
This file defines the symmetric powers of a finset as `Finset (Sym α n)` and `Finset (Sym2 α)`.
## Main declarations
* `Finset.sym`: The symmetric power of a finset. `s.sym n` is all the multisets of cardinality `n`
whose elements are in `s`.
* `Finset.sym2`: The symmetric square of a finset. `s.sym2` is all the pairs whose elements are in
`s`.
* A `Fintype (Sym2 α)` instance that does not require `DecidableEq α`.
## TODO
`Finset.sym` forms a Galois connection between `Finset α` and `Finset (Sym α n)`. Similar for
`Finset.sym2`.
-/
namespace Finset
variable {α β : Type*}
/-- `s.sym2` is the finset of all unordered pairs of elements from `s`.
It is the image of `s ×ˢ s` under the quotient `α × α → Sym2 α`. -/
@[simps]
protected def sym2 (s : Finset α) : Finset (Sym2 α) := ⟨s.1.sym2, s.2.sym2⟩
section
variable {s t : Finset α} {a b : α}
theorem mk_mem_sym2_iff : s(a, b) ∈ s.sym2 ↔ a ∈ s ∧ b ∈ s := by
rw [mem_mk, sym2_val, Multiset.mk_mem_sym2_iff, mem_mk, mem_mk]
@[simp]
theorem mem_sym2_iff {m : Sym2 α} : m ∈ s.sym2 ↔ ∀ a ∈ m, a ∈ s := by
rw [mem_mk, sym2_val, Multiset.mem_sym2_iff]
simp only [mem_val]
theorem sym2_cons (a : α) (s : Finset α) (ha : a ∉ s) :
(s.cons a ha).sym2 = ((s.cons a ha).map <| Sym2.mkEmbedding a).disjUnion s.sym2 (by
| simp [Finset.disjoint_left, ha]) :=
val_injective <| Multiset.sym2_cons _ _
| Mathlib/Data/Finset/Sym.lean | 51 | 53 |
/-
Copyright (c) 2017 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis, Keeley Hoek
-/
import Mathlib.Algebra.NeZero
import Mathlib.Data.Int.DivMod
import Mathlib.Logic.Embedding.Basic
import Mathlib.Logic.Equiv.Set
import Mathlib.Tactic.Common
import Mathlib.Tactic.Attr.Register
/-!
# The finite type with `n` elements
`Fin n` is the type whose elements are natural numbers smaller than `n`.
This file expands on the development in the core library.
## Main definitions
### Induction principles
* `finZeroElim` : Elimination principle for the empty set `Fin 0`, generalizes `Fin.elim0`.
Further definitions and eliminators can be found in `Init.Data.Fin.Lemmas`
### Embeddings and isomorphisms
* `Fin.valEmbedding` : coercion to natural numbers as an `Embedding`;
* `Fin.succEmb` : `Fin.succ` as an `Embedding`;
* `Fin.castLEEmb h` : `Fin.castLE` as an `Embedding`, embed `Fin n` into `Fin m`, `h : n ≤ m`;
* `finCongr` : `Fin.cast` as an `Equiv`, equivalence between `Fin n` and `Fin m` when `n = m`;
* `Fin.castAddEmb m` : `Fin.castAdd` as an `Embedding`, embed `Fin n` into `Fin (n+m)`;
* `Fin.castSuccEmb` : `Fin.castSucc` as an `Embedding`, embed `Fin n` into `Fin (n+1)`;
* `Fin.addNatEmb m i` : `Fin.addNat` as an `Embedding`, add `m` on `i` on the right,
generalizes `Fin.succ`;
* `Fin.natAddEmb n i` : `Fin.natAdd` as an `Embedding`, adds `n` on `i` on the left;
### Other casts
* `Fin.divNat i` : divides `i : Fin (m * n)` by `n`;
* `Fin.modNat i` : takes the mod of `i : Fin (m * n)` by `n`;
-/
assert_not_exists Monoid Finset
open Fin Nat Function
attribute [simp] Fin.succ_ne_zero Fin.castSucc_lt_last
/-- Elimination principle for the empty set `Fin 0`, dependent version. -/
def finZeroElim {α : Fin 0 → Sort*} (x : Fin 0) : α x :=
x.elim0
namespace Fin
@[simp] theorem mk_eq_one {n a : Nat} {ha : a < n + 2} :
(⟨a, ha⟩ : Fin (n + 2)) = 1 ↔ a = 1 :=
mk.inj_iff
@[simp] theorem one_eq_mk {n a : Nat} {ha : a < n + 2} :
1 = (⟨a, ha⟩ : Fin (n + 2)) ↔ a = 1 := by
simp [eq_comm]
instance {n : ℕ} : CanLift ℕ (Fin n) Fin.val (· < n) where
prf k hk := ⟨⟨k, hk⟩, rfl⟩
/-- A dependent variant of `Fin.elim0`. -/
def rec0 {α : Fin 0 → Sort*} (i : Fin 0) : α i := absurd i.2 (Nat.not_lt_zero _)
variable {n m : ℕ}
--variable {a b : Fin n} -- this *really* breaks stuff
theorem val_injective : Function.Injective (@Fin.val n) :=
@Fin.eq_of_val_eq n
/-- If you actually have an element of `Fin n`, then the `n` is always positive -/
lemma size_positive : Fin n → 0 < n := Fin.pos
lemma size_positive' [Nonempty (Fin n)] : 0 < n :=
‹Nonempty (Fin n)›.elim Fin.pos
protected theorem prop (a : Fin n) : a.val < n :=
a.2
lemma lt_last_iff_ne_last {a : Fin (n + 1)} : a < last n ↔ a ≠ last n := by
simp [Fin.lt_iff_le_and_ne, le_last]
lemma ne_zero_of_lt {a b : Fin (n + 1)} (hab : a < b) : b ≠ 0 :=
Fin.ne_of_gt <| Fin.lt_of_le_of_lt a.zero_le hab
lemma ne_last_of_lt {a b : Fin (n + 1)} (hab : a < b) : a ≠ last n :=
Fin.ne_of_lt <| Fin.lt_of_lt_of_le hab b.le_last
/-- Equivalence between `Fin n` and `{ i // i < n }`. -/
@[simps apply symm_apply]
def equivSubtype : Fin n ≃ { i // i < n } where
toFun a := ⟨a.1, a.2⟩
invFun a := ⟨a.1, a.2⟩
left_inv := fun ⟨_, _⟩ => rfl
right_inv := fun ⟨_, _⟩ => rfl
section coe
/-!
### coercions and constructions
-/
theorem val_eq_val (a b : Fin n) : (a : ℕ) = b ↔ a = b :=
Fin.ext_iff.symm
theorem ne_iff_vne (a b : Fin n) : a ≠ b ↔ a.1 ≠ b.1 :=
Fin.ext_iff.not
theorem mk_eq_mk {a h a' h'} : @mk n a h = @mk n a' h' ↔ a = a' :=
Fin.ext_iff
-- syntactic tautologies now
/-- Assume `k = l`. If two functions defined on `Fin k` and `Fin l` are equal on each element,
then they coincide (in the heq sense). -/
protected theorem heq_fun_iff {α : Sort*} {k l : ℕ} (h : k = l) {f : Fin k → α} {g : Fin l → α} :
HEq f g ↔ ∀ i : Fin k, f i = g ⟨(i : ℕ), h ▸ i.2⟩ := by
subst h
simp [funext_iff]
/-- Assume `k = l` and `k' = l'`.
If two functions `Fin k → Fin k' → α` and `Fin l → Fin l' → α` are equal on each pair,
then they coincide (in the heq sense). -/
protected theorem heq_fun₂_iff {α : Sort*} {k l k' l' : ℕ} (h : k = l) (h' : k' = l')
{f : Fin k → Fin k' → α} {g : Fin l → Fin l' → α} :
HEq f g ↔ ∀ (i : Fin k) (j : Fin k'), f i j = g ⟨(i : ℕ), h ▸ i.2⟩ ⟨(j : ℕ), h' ▸ j.2⟩ := by
subst h
subst h'
simp [funext_iff]
/-- Two elements of `Fin k` and `Fin l` are heq iff their values in `ℕ` coincide. This requires
`k = l`. For the left implication without this assumption, see `val_eq_val_of_heq`. -/
protected theorem heq_ext_iff {k l : ℕ} (h : k = l) {i : Fin k} {j : Fin l} :
HEq i j ↔ (i : ℕ) = (j : ℕ) := by
subst h
simp [val_eq_val]
end coe
section Order
/-!
### order
-/
theorem le_iff_val_le_val {a b : Fin n} : a ≤ b ↔ (a : ℕ) ≤ b :=
Iff.rfl
/-- `a < b` as natural numbers if and only if `a < b` in `Fin n`. -/
@[norm_cast, simp]
theorem val_fin_lt {n : ℕ} {a b : Fin n} : (a : ℕ) < (b : ℕ) ↔ a < b :=
Iff.rfl
/-- `a ≤ b` as natural numbers if and only if `a ≤ b` in `Fin n`. -/
@[norm_cast, simp]
theorem val_fin_le {n : ℕ} {a b : Fin n} : (a : ℕ) ≤ (b : ℕ) ↔ a ≤ b :=
Iff.rfl
theorem min_val {a : Fin n} : min (a : ℕ) n = a := by simp
theorem max_val {a : Fin n} : max (a : ℕ) n = n := by simp
/-- The inclusion map `Fin n → ℕ` is an embedding. -/
@[simps -fullyApplied apply]
def valEmbedding : Fin n ↪ ℕ :=
⟨val, val_injective⟩
@[simp]
theorem equivSubtype_symm_trans_valEmbedding :
equivSubtype.symm.toEmbedding.trans valEmbedding = Embedding.subtype (· < n) :=
rfl
/-- Use the ordering on `Fin n` for checking recursive definitions.
For example, the following definition is not accepted by the termination checker,
unless we declare the `WellFoundedRelation` instance:
```lean
def factorial {n : ℕ} : Fin n → ℕ
| ⟨0, _⟩ := 1
| ⟨i + 1, hi⟩ := (i + 1) * factorial ⟨i, i.lt_succ_self.trans hi⟩
```
-/
instance {n : ℕ} : WellFoundedRelation (Fin n) :=
measure (val : Fin n → ℕ)
@[deprecated (since := "2025-02-24")]
alias val_zero' := val_zero
/-- `Fin.mk_zero` in `Lean` only applies in `Fin (n + 1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem mk_zero' (n : ℕ) [NeZero n] : (⟨0, pos_of_neZero n⟩ : Fin n) = 0 := rfl
/--
The `Fin.zero_le` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
protected theorem zero_le' [NeZero n] (a : Fin n) : 0 ≤ a :=
Nat.zero_le a.val
@[simp, norm_cast]
theorem val_eq_zero_iff [NeZero n] {a : Fin n} : a.val = 0 ↔ a = 0 := by
rw [Fin.ext_iff, val_zero]
theorem val_ne_zero_iff [NeZero n] {a : Fin n} : a.val ≠ 0 ↔ a ≠ 0 :=
val_eq_zero_iff.not
@[simp, norm_cast]
theorem val_pos_iff [NeZero n] {a : Fin n} : 0 < a.val ↔ 0 < a := by
rw [← val_fin_lt, val_zero]
/--
The `Fin.pos_iff_ne_zero` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
theorem pos_iff_ne_zero' [NeZero n] (a : Fin n) : 0 < a ↔ a ≠ 0 := by
rw [← val_pos_iff, Nat.pos_iff_ne_zero, val_ne_zero_iff]
@[simp] lemma cast_eq_self (a : Fin n) : a.cast rfl = a := rfl
@[simp] theorem cast_eq_zero {k l : ℕ} [NeZero k] [NeZero l]
(h : k = l) (x : Fin k) : Fin.cast h x = 0 ↔ x = 0 := by
simp [← val_eq_zero_iff]
lemma cast_injective {k l : ℕ} (h : k = l) : Injective (Fin.cast h) :=
fun a b hab ↦ by simpa [← val_eq_val] using hab
theorem last_pos' [NeZero n] : 0 < last n := n.pos_of_neZero
theorem one_lt_last [NeZero n] : 1 < last (n + 1) := by
rw [lt_iff_val_lt_val, val_one, val_last, Nat.lt_add_left_iff_pos, Nat.pos_iff_ne_zero]
exact NeZero.ne n
end Order
/-! ### Coercions to `ℤ` and the `fin_omega` tactic. -/
open Int
theorem coe_int_sub_eq_ite {n : Nat} (u v : Fin n) :
((u - v : Fin n) : Int) = if v ≤ u then (u - v : Int) else (u - v : Int) + n := by
rw [Fin.sub_def]
split
· rw [natCast_emod, Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
· rw [natCast_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_sub_eq_mod {n : Nat} (u v : Fin n) :
((u - v : Fin n) : Int) = ((u : Int) - (v : Int)) % n := by
rw [coe_int_sub_eq_ite]
split
· rw [Int.emod_eq_of_lt] <;> omega
· rw [Int.emod_eq_add_self_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_add_eq_ite {n : Nat} (u v : Fin n) :
((u + v : Fin n) : Int) = if (u + v : ℕ) < n then (u + v : Int) else (u + v : Int) - n := by
rw [Fin.add_def]
split
· rw [natCast_emod, Int.emod_eq_of_lt] <;> omega
· rw [natCast_emod, Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
theorem coe_int_add_eq_mod {n : Nat} (u v : Fin n) :
((u + v : Fin n) : Int) = ((u : Int) + (v : Int)) % n := by
rw [coe_int_add_eq_ite]
split
· rw [Int.emod_eq_of_lt] <;> omega
· rw [Int.emod_eq_sub_self_emod, Int.emod_eq_of_lt] <;> omega
-- Write `a + b` as `if (a + b : ℕ) < n then (a + b : ℤ) else (a + b : ℤ) - n` and
-- similarly `a - b` as `if (b : ℕ) ≤ a then (a - b : ℤ) else (a - b : ℤ) + n`.
attribute [fin_omega] coe_int_sub_eq_ite coe_int_add_eq_ite
-- Rewrite inequalities in `Fin` to inequalities in `ℕ`
attribute [fin_omega] Fin.lt_iff_val_lt_val Fin.le_iff_val_le_val
-- Rewrite `1 : Fin (n + 2)` to `1 : ℤ`
attribute [fin_omega] val_one
/--
Preprocessor for `omega` to handle inequalities in `Fin`.
Note that this involves a lot of case splitting, so may be slow.
-/
-- Further adjustment to the simp set can probably make this more powerful.
-- Please experiment and PR updates!
macro "fin_omega" : tactic => `(tactic|
{ try simp only [fin_omega, ← Int.ofNat_lt, ← Int.ofNat_le] at *
omega })
section Add
/-!
### addition, numerals, and coercion from Nat
-/
@[simp]
theorem val_one' (n : ℕ) [NeZero n] : ((1 : Fin n) : ℕ) = 1 % n :=
rfl
@[deprecated val_one' (since := "2025-03-10")]
theorem val_one'' {n : ℕ} : ((1 : Fin (n + 1)) : ℕ) = 1 % (n + 1) :=
rfl
instance nontrivial {n : ℕ} : Nontrivial (Fin (n + 2)) where
exists_pair_ne := ⟨0, 1, (ne_iff_vne 0 1).mpr (by simp [val_one, val_zero])⟩
theorem nontrivial_iff_two_le : Nontrivial (Fin n) ↔ 2 ≤ n := by
rcases n with (_ | _ | n) <;>
simp [Fin.nontrivial, not_nontrivial, Nat.succ_le_iff]
section Monoid
instance inhabitedFinOneAdd (n : ℕ) : Inhabited (Fin (1 + n)) :=
haveI : NeZero (1 + n) := by rw [Nat.add_comm]; infer_instance
inferInstance
@[simp]
theorem default_eq_zero (n : ℕ) [NeZero n] : (default : Fin n) = 0 :=
rfl
instance instNatCast [NeZero n] : NatCast (Fin n) where
natCast i := Fin.ofNat' n i
lemma natCast_def [NeZero n] (a : ℕ) : (a : Fin n) = ⟨a % n, mod_lt _ n.pos_of_neZero⟩ := rfl
end Monoid
theorem val_add_eq_ite {n : ℕ} (a b : Fin n) :
(↑(a + b) : ℕ) = if n ≤ a + b then a + b - n else a + b := by
rw [Fin.val_add, Nat.add_mod_eq_ite, Nat.mod_eq_of_lt (show ↑a < n from a.2),
Nat.mod_eq_of_lt (show ↑b < n from b.2)]
theorem val_add_eq_of_add_lt {n : ℕ} {a b : Fin n} (huv : a.val + b.val < n) :
(a + b).val = a.val + b.val := by
rw [val_add]
simp [Nat.mod_eq_of_lt huv]
lemma intCast_val_sub_eq_sub_add_ite {n : ℕ} (a b : Fin n) :
((a - b).val : ℤ) = a.val - b.val + if b ≤ a then 0 else n := by
split <;> fin_omega
lemma one_le_of_ne_zero {n : ℕ} [NeZero n] {k : Fin n} (hk : k ≠ 0) : 1 ≤ k := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (NeZero.ne n)
cases n with
| zero => simp only [Nat.reduceAdd, Fin.isValue, Fin.zero_le]
| succ n => rwa [Fin.le_iff_val_le_val, Fin.val_one, Nat.one_le_iff_ne_zero, val_ne_zero_iff]
lemma val_sub_one_of_ne_zero [NeZero n] {i : Fin n} (hi : i ≠ 0) : (i - 1).val = i - 1 := by
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (NeZero.ne n)
rw [Fin.sub_val_of_le (one_le_of_ne_zero hi), Fin.val_one', Nat.mod_eq_of_lt
(Nat.succ_le_iff.mpr (nontrivial_iff_two_le.mp <| nontrivial_of_ne i 0 hi))]
section OfNatCoe
@[simp]
theorem ofNat'_eq_cast (n : ℕ) [NeZero n] (a : ℕ) : Fin.ofNat' n a = a :=
rfl
@[simp] lemma val_natCast (a n : ℕ) [NeZero n] : (a : Fin n).val = a % n := rfl
/-- Converting an in-range number to `Fin (n + 1)` produces a result
whose value is the original number. -/
theorem val_cast_of_lt {n : ℕ} [NeZero n] {a : ℕ} (h : a < n) : (a : Fin n).val = a :=
Nat.mod_eq_of_lt h
/-- If `n` is non-zero, converting the value of a `Fin n` to `Fin n` results
in the same value. -/
@[simp, norm_cast] theorem cast_val_eq_self {n : ℕ} [NeZero n] (a : Fin n) : (a.val : Fin n) = a :=
Fin.ext <| val_cast_of_lt a.isLt
-- This is a special case of `CharP.cast_eq_zero` that doesn't require typeclass search
@[simp high] lemma natCast_self (n : ℕ) [NeZero n] : (n : Fin n) = 0 := by ext; simp
@[simp] lemma natCast_eq_zero {a n : ℕ} [NeZero n] : (a : Fin n) = 0 ↔ n ∣ a := by
simp [Fin.ext_iff, Nat.dvd_iff_mod_eq_zero]
@[simp]
theorem natCast_eq_last (n) : (n : Fin (n + 1)) = Fin.last n := by ext; simp
theorem le_val_last (i : Fin (n + 1)) : i ≤ n := by
rw [Fin.natCast_eq_last]
exact Fin.le_last i
variable {a b : ℕ}
lemma natCast_le_natCast (han : a ≤ n) (hbn : b ≤ n) : (a : Fin (n + 1)) ≤ b ↔ a ≤ b := by
rw [← Nat.lt_succ_iff] at han hbn
simp [le_iff_val_le_val, -val_fin_le, Nat.mod_eq_of_lt, han, hbn]
lemma natCast_lt_natCast (han : a ≤ n) (hbn : b ≤ n) : (a : Fin (n + 1)) < b ↔ a < b := by
rw [← Nat.lt_succ_iff] at han hbn; simp [lt_iff_val_lt_val, Nat.mod_eq_of_lt, han, hbn]
lemma natCast_mono (hbn : b ≤ n) (hab : a ≤ b) : (a : Fin (n + 1)) ≤ b :=
(natCast_le_natCast (hab.trans hbn) hbn).2 hab
lemma natCast_strictMono (hbn : b ≤ n) (hab : a < b) : (a : Fin (n + 1)) < b :=
(natCast_lt_natCast (hab.le.trans hbn) hbn).2 hab
end OfNatCoe
end Add
section Succ
/-!
### succ and casts into larger Fin types
-/
lemma succ_injective (n : ℕ) : Injective (@Fin.succ n) := fun a b ↦ by simp [Fin.ext_iff]
/-- `Fin.succ` as an `Embedding` -/
def succEmb (n : ℕ) : Fin n ↪ Fin (n + 1) where
toFun := succ
inj' := succ_injective _
@[simp]
theorem coe_succEmb : ⇑(succEmb n) = Fin.succ :=
rfl
@[deprecated (since := "2025-04-12")]
alias val_succEmb := coe_succEmb
@[simp]
theorem exists_succ_eq {x : Fin (n + 1)} : (∃ y, Fin.succ y = x) ↔ x ≠ 0 :=
⟨fun ⟨_, hy⟩ => hy ▸ succ_ne_zero _, x.cases (fun h => h.irrefl.elim) (fun _ _ => ⟨_, rfl⟩)⟩
theorem exists_succ_eq_of_ne_zero {x : Fin (n + 1)} (h : x ≠ 0) :
∃ y, Fin.succ y = x := exists_succ_eq.mpr h
@[simp]
theorem succ_zero_eq_one' [NeZero n] : Fin.succ (0 : Fin n) = 1 := by
cases n
· exact (NeZero.ne 0 rfl).elim
· rfl
theorem one_pos' [NeZero n] : (0 : Fin (n + 1)) < 1 := succ_zero_eq_one' (n := n) ▸ succ_pos _
theorem zero_ne_one' [NeZero n] : (0 : Fin (n + 1)) ≠ 1 := Fin.ne_of_lt one_pos'
/--
The `Fin.succ_one_eq_two` in `Lean` only applies in `Fin (n+2)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem succ_one_eq_two' [NeZero n] : Fin.succ (1 : Fin (n + 1)) = 2 := by
cases n
· exact (NeZero.ne 0 rfl).elim
· rfl
-- Version of `succ_one_eq_two` to be used by `dsimp`.
-- Note the `'` swapped around due to a move to std4.
/--
The `Fin.le_zero_iff` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem le_zero_iff' {n : ℕ} [NeZero n] {k : Fin n} : k ≤ 0 ↔ k = 0 :=
⟨fun h => Fin.ext <| by rw [Nat.eq_zero_of_le_zero h]; rfl, by rintro rfl; exact Nat.le_refl _⟩
-- TODO: Move to Batteries
@[simp] lemma castLE_inj {hmn : m ≤ n} {a b : Fin m} : castLE hmn a = castLE hmn b ↔ a = b := by
simp [Fin.ext_iff]
@[simp] lemma castAdd_inj {a b : Fin m} : castAdd n a = castAdd n b ↔ a = b := by simp [Fin.ext_iff]
attribute [simp] castSucc_inj
lemma castLE_injective (hmn : m ≤ n) : Injective (castLE hmn) :=
fun _ _ hab ↦ Fin.ext (congr_arg val hab :)
lemma castAdd_injective (m n : ℕ) : Injective (@Fin.castAdd m n) := castLE_injective _
lemma castSucc_injective (n : ℕ) : Injective (@Fin.castSucc n) := castAdd_injective _ _
/-- `Fin.castLE` as an `Embedding`, `castLEEmb h i` embeds `i` into a larger `Fin` type. -/
@[simps apply]
def castLEEmb (h : n ≤ m) : Fin n ↪ Fin m where
toFun := castLE h
inj' := castLE_injective _
@[simp, norm_cast] lemma coe_castLEEmb {m n} (hmn : m ≤ n) : castLEEmb hmn = castLE hmn := rfl
/- The next proof can be golfed a lot using `Fintype.card`.
It is written this way to define `ENat.card` and `Nat.card` without a `Fintype` dependency
(not done yet). -/
lemma nonempty_embedding_iff : Nonempty (Fin n ↪ Fin m) ↔ n ≤ m := by
refine ⟨fun h ↦ ?_, fun h ↦ ⟨castLEEmb h⟩⟩
induction n generalizing m with
| zero => exact m.zero_le
| succ n ihn =>
obtain ⟨e⟩ := h
rcases exists_eq_succ_of_ne_zero (pos_iff_nonempty.2 (Nonempty.map e inferInstance)).ne'
with ⟨m, rfl⟩
refine Nat.succ_le_succ <| ihn ⟨?_⟩
refine ⟨fun i ↦ (e.setValue 0 0 i.succ).pred (mt e.setValue_eq_iff.1 i.succ_ne_zero),
fun i j h ↦ ?_⟩
simpa only [pred_inj, EmbeddingLike.apply_eq_iff_eq, succ_inj] using h
lemma equiv_iff_eq : Nonempty (Fin m ≃ Fin n) ↔ m = n :=
⟨fun ⟨e⟩ ↦ le_antisymm (nonempty_embedding_iff.1 ⟨e⟩) (nonempty_embedding_iff.1 ⟨e.symm⟩),
fun h ↦ h ▸ ⟨.refl _⟩⟩
@[simp] lemma castLE_castSucc {n m} (i : Fin n) (h : n + 1 ≤ m) :
i.castSucc.castLE h = i.castLE (Nat.le_of_succ_le h) :=
rfl
@[simp] lemma castLE_comp_castSucc {n m} (h : n + 1 ≤ m) :
Fin.castLE h ∘ Fin.castSucc = Fin.castLE (Nat.le_of_succ_le h) :=
rfl
@[simp] lemma castLE_rfl (n : ℕ) : Fin.castLE (le_refl n) = id :=
rfl
@[simp]
theorem range_castLE {n k : ℕ} (h : n ≤ k) : Set.range (castLE h) = { i : Fin k | (i : ℕ) < n } :=
Set.ext fun x => ⟨fun ⟨y, hy⟩ => hy ▸ y.2, fun hx => ⟨⟨x, hx⟩, rfl⟩⟩
@[simp]
theorem coe_of_injective_castLE_symm {n k : ℕ} (h : n ≤ k) (i : Fin k) (hi) :
((Equiv.ofInjective _ (castLE_injective h)).symm ⟨i, hi⟩ : ℕ) = i := by
rw [← coe_castLE h]
exact congr_arg Fin.val (Equiv.apply_ofInjective_symm _ _)
theorem leftInverse_cast (eq : n = m) : LeftInverse (Fin.cast eq.symm) (Fin.cast eq) :=
fun _ => rfl
theorem rightInverse_cast (eq : n = m) : RightInverse (Fin.cast eq.symm) (Fin.cast eq) :=
fun _ => rfl
@[simp]
theorem cast_inj (eq : n = m) {a b : Fin n} : a.cast eq = b.cast eq ↔ a = b := by
simp [← val_inj]
@[simp]
theorem cast_lt_cast (eq : n = m) {a b : Fin n} : a.cast eq < b.cast eq ↔ a < b :=
Iff.rfl
@[simp]
theorem cast_le_cast (eq : n = m) {a b : Fin n} : a.cast eq ≤ b.cast eq ↔ a ≤ b :=
Iff.rfl
/-- The 'identity' equivalence between `Fin m` and `Fin n` when `m = n`. -/
@[simps]
def _root_.finCongr (eq : n = m) : Fin n ≃ Fin m where
toFun := Fin.cast eq
invFun := Fin.cast eq.symm
left_inv := leftInverse_cast eq
right_inv := rightInverse_cast eq
@[simp] lemma _root_.finCongr_apply_mk (h : m = n) (k : ℕ) (hk : k < m) :
finCongr h ⟨k, hk⟩ = ⟨k, h ▸ hk⟩ := rfl
@[simp]
lemma _root_.finCongr_refl (h : n = n := rfl) : finCongr h = Equiv.refl (Fin n) := by ext; simp
@[simp] lemma _root_.finCongr_symm (h : m = n) : (finCongr h).symm = finCongr h.symm := rfl
@[simp] lemma _root_.finCongr_apply_coe (h : m = n) (k : Fin m) : (finCongr h k : ℕ) = k := rfl
lemma _root_.finCongr_symm_apply_coe (h : m = n) (k : Fin n) : ((finCongr h).symm k : ℕ) = k := rfl
/-- While in many cases `finCongr` is better than `Equiv.cast`/`cast`, sometimes we want to apply
a generic theorem about `cast`. -/
lemma _root_.finCongr_eq_equivCast (h : n = m) : finCongr h = .cast (h ▸ rfl) := by subst h; simp
/-- While in many cases `Fin.cast` is better than `Equiv.cast`/`cast`, sometimes we want to apply
a generic theorem about `cast`. -/
theorem cast_eq_cast (h : n = m) : (Fin.cast h : Fin n → Fin m) = _root_.cast (h ▸ rfl) := by
subst h
ext
rfl
/-- `Fin.castAdd` as an `Embedding`, `castAddEmb m i` embeds `i : Fin n` in `Fin (n+m)`.
See also `Fin.natAddEmb` and `Fin.addNatEmb`. -/
def castAddEmb (m) : Fin n ↪ Fin (n + m) := castLEEmb (le_add_right n m)
@[simp]
lemma coe_castAddEmb (m) : (castAddEmb m : Fin n → Fin (n + m)) = castAdd m := rfl
lemma castAddEmb_apply (m) (i : Fin n) : castAddEmb m i = castAdd m i := rfl
/-- `Fin.castSucc` as an `Embedding`, `castSuccEmb i` embeds `i : Fin n` in `Fin (n+1)`. -/
def castSuccEmb : Fin n ↪ Fin (n + 1) := castAddEmb _
@[simp, norm_cast] lemma coe_castSuccEmb : (castSuccEmb : Fin n → Fin (n + 1)) = Fin.castSucc := rfl
lemma castSuccEmb_apply (i : Fin n) : castSuccEmb i = i.castSucc := rfl
theorem castSucc_le_succ {n} (i : Fin n) : i.castSucc ≤ i.succ := Nat.le_succ i
@[simp] theorem castSucc_le_castSucc_iff {a b : Fin n} : castSucc a ≤ castSucc b ↔ a ≤ b := .rfl
@[simp] theorem succ_le_castSucc_iff {a b : Fin n} : succ a ≤ castSucc b ↔ a < b := by
rw [le_castSucc_iff, succ_lt_succ_iff]
@[simp] theorem castSucc_lt_succ_iff {a b : Fin n} : castSucc a < succ b ↔ a ≤ b := by
rw [castSucc_lt_iff_succ_le, succ_le_succ_iff]
theorem le_of_castSucc_lt_of_succ_lt {a b : Fin (n + 1)} {i : Fin n}
(hl : castSucc i < a) (hu : b < succ i) : b < a := by
simp [Fin.lt_def, -val_fin_lt] at *; omega
theorem castSucc_lt_or_lt_succ (p : Fin (n + 1)) (i : Fin n) : castSucc i < p ∨ p < i.succ := by
simp [Fin.lt_def, -val_fin_lt]; omega
theorem succ_le_or_le_castSucc (p : Fin (n + 1)) (i : Fin n) : succ i ≤ p ∨ p ≤ i.castSucc := by
rw [le_castSucc_iff, ← castSucc_lt_iff_succ_le]
exact p.castSucc_lt_or_lt_succ i
theorem eq_castSucc_of_ne_last {x : Fin (n + 1)} (h : x ≠ (last _)) :
∃ y, Fin.castSucc y = x := exists_castSucc_eq.mpr h
@[deprecated (since := "2025-02-06")]
alias exists_castSucc_eq_of_ne_last := eq_castSucc_of_ne_last
theorem forall_fin_succ' {P : Fin (n + 1) → Prop} :
(∀ i, P i) ↔ (∀ i : Fin n, P i.castSucc) ∧ P (.last _) :=
⟨fun H => ⟨fun _ => H _, H _⟩, fun ⟨H0, H1⟩ i => Fin.lastCases H1 H0 i⟩
-- to match `Fin.eq_zero_or_eq_succ`
theorem eq_castSucc_or_eq_last {n : Nat} (i : Fin (n + 1)) :
(∃ j : Fin n, i = j.castSucc) ∨ i = last n := i.lastCases (Or.inr rfl) (Or.inl ⟨·, rfl⟩)
@[simp]
theorem castSucc_ne_last {n : ℕ} (i : Fin n) : i.castSucc ≠ .last n :=
Fin.ne_of_lt i.castSucc_lt_last
theorem exists_fin_succ' {P : Fin (n + 1) → Prop} :
(∃ i, P i) ↔ (∃ i : Fin n, P i.castSucc) ∨ P (.last _) :=
⟨fun ⟨i, h⟩ => Fin.lastCases Or.inr (fun i hi => Or.inl ⟨i, hi⟩) i h,
fun h => h.elim (fun ⟨i, hi⟩ => ⟨i.castSucc, hi⟩) (fun h => ⟨.last _, h⟩)⟩
/--
The `Fin.castSucc_zero` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem castSucc_zero' [NeZero n] : castSucc (0 : Fin n) = 0 := rfl
@[simp]
theorem castSucc_pos_iff [NeZero n] {i : Fin n} : 0 < castSucc i ↔ 0 < i := by simp [← val_pos_iff]
/-- `castSucc i` is positive when `i` is positive.
The `Fin.castSucc_pos` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis. -/
alias ⟨_, castSucc_pos'⟩ := castSucc_pos_iff
/--
The `Fin.castSucc_eq_zero_iff` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
@[simp]
theorem castSucc_eq_zero_iff' [NeZero n] (a : Fin n) : castSucc a = 0 ↔ a = 0 :=
Fin.ext_iff.trans <| (Fin.ext_iff.trans <| by simp).symm
/--
The `Fin.castSucc_ne_zero_iff` in `Lean` only applies in `Fin (n+1)`.
This one instead uses a `NeZero n` typeclass hypothesis.
-/
theorem castSucc_ne_zero_iff' [NeZero n] (a : Fin n) : castSucc a ≠ 0 ↔ a ≠ 0 :=
not_iff_not.mpr <| castSucc_eq_zero_iff' a
theorem castSucc_ne_zero_of_lt {p i : Fin n} (h : p < i) : castSucc i ≠ 0 := by
cases n
· exact i.elim0
· rw [castSucc_ne_zero_iff', Ne, Fin.ext_iff]
exact ((zero_le _).trans_lt h).ne'
theorem succ_ne_last_iff (a : Fin (n + 1)) : succ a ≠ last (n + 1) ↔ a ≠ last n :=
not_iff_not.mpr <| succ_eq_last_succ
theorem succ_ne_last_of_lt {p i : Fin n} (h : i < p) : succ i ≠ last n := by
cases n
· exact i.elim0
· rw [succ_ne_last_iff, Ne, Fin.ext_iff]
exact ((le_last _).trans_lt' h).ne
@[norm_cast, simp]
theorem coe_eq_castSucc {a : Fin n} : (a : Fin (n + 1)) = castSucc a := by
ext
exact val_cast_of_lt (Nat.lt.step a.is_lt)
theorem coe_succ_lt_iff_lt {n : ℕ} {j k : Fin n} : (j : Fin <| n + 1) < k ↔ j < k := by
simp only [coe_eq_castSucc, castSucc_lt_castSucc_iff]
@[simp]
theorem range_castSucc {n : ℕ} : Set.range (castSucc : Fin n → Fin n.succ) =
({ i | (i : ℕ) < n } : Set (Fin n.succ)) := range_castLE (by omega)
@[simp]
theorem coe_of_injective_castSucc_symm {n : ℕ} (i : Fin n.succ) (hi) :
((Equiv.ofInjective castSucc (castSucc_injective _)).symm ⟨i, hi⟩ : ℕ) = i := by
rw [← coe_castSucc]
exact congr_arg val (Equiv.apply_ofInjective_symm _ _)
/-- `Fin.addNat` as an `Embedding`, `addNatEmb m i` adds `m` to `i`, generalizes `Fin.succ`. -/
@[simps! apply]
def addNatEmb (m) : Fin n ↪ Fin (n + m) where
toFun := (addNat · m)
inj' a b := by simp [Fin.ext_iff]
/-- `Fin.natAdd` as an `Embedding`, `natAddEmb n i` adds `n` to `i` "on the left". -/
@[simps! apply]
def natAddEmb (n) {m} : Fin m ↪ Fin (n + m) where
toFun := natAdd n
inj' a b := by simp [Fin.ext_iff]
theorem castSucc_castAdd (i : Fin n) : castSucc (castAdd m i) = castAdd (m + 1) i := rfl
theorem castSucc_natAdd (i : Fin m) : castSucc (natAdd n i) = natAdd n (castSucc i) := rfl
theorem succ_castAdd (i : Fin n) : succ (castAdd m i) =
if h : i.succ = last _ then natAdd n (0 : Fin (m + 1))
else castAdd (m + 1) ⟨i.1 + 1, lt_of_le_of_ne i.2 (Fin.val_ne_iff.mpr h)⟩ := by
split_ifs with h
exacts [Fin.ext (congr_arg Fin.val h :), rfl]
theorem succ_natAdd (i : Fin m) : succ (natAdd n i) = natAdd n (succ i) := rfl
end Succ
section Pred
/-!
### pred
-/
theorem pred_one' [NeZero n] (h := (zero_ne_one' (n := n)).symm) :
Fin.pred (1 : Fin (n + 1)) h = 0 := by
simp_rw [Fin.ext_iff, coe_pred, val_one', val_zero, Nat.sub_eq_zero_iff_le, Nat.mod_le]
theorem pred_last (h := Fin.ext_iff.not.2 last_pos'.ne') :
pred (last (n + 1)) h = last n := by simp_rw [← succ_last, pred_succ]
theorem pred_lt_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : pred i hi < j ↔ i < succ j := by
rw [← succ_lt_succ_iff, succ_pred]
theorem lt_pred_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : j < pred i hi ↔ succ j < i := by
rw [← succ_lt_succ_iff, succ_pred]
theorem pred_le_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : pred i hi ≤ j ↔ i ≤ succ j := by
rw [← succ_le_succ_iff, succ_pred]
theorem le_pred_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ 0) : j ≤ pred i hi ↔ succ j ≤ i := by
rw [← succ_le_succ_iff, succ_pred]
theorem castSucc_pred_eq_pred_castSucc {a : Fin (n + 1)} (ha : a ≠ 0)
(ha' := castSucc_ne_zero_iff.mpr ha) :
(a.pred ha).castSucc = (castSucc a).pred ha' := rfl
theorem castSucc_pred_add_one_eq {a : Fin (n + 1)} (ha : a ≠ 0) :
(a.pred ha).castSucc + 1 = a := by
cases a using cases
· exact (ha rfl).elim
· rw [pred_succ, coeSucc_eq_succ]
theorem le_pred_castSucc_iff {a b : Fin (n + 1)} (ha : castSucc a ≠ 0) :
b ≤ (castSucc a).pred ha ↔ b < a := by
rw [le_pred_iff, succ_le_castSucc_iff]
theorem pred_castSucc_lt_iff {a b : Fin (n + 1)} (ha : castSucc a ≠ 0) :
(castSucc a).pred ha < b ↔ a ≤ b := by
rw [pred_lt_iff, castSucc_lt_succ_iff]
theorem pred_castSucc_lt {a : Fin (n + 1)} (ha : castSucc a ≠ 0) :
(castSucc a).pred ha < a := by rw [pred_castSucc_lt_iff, le_def]
theorem le_castSucc_pred_iff {a b : Fin (n + 1)} (ha : a ≠ 0) :
b ≤ castSucc (a.pred ha) ↔ b < a := by
rw [castSucc_pred_eq_pred_castSucc, le_pred_castSucc_iff]
theorem castSucc_pred_lt_iff {a b : Fin (n + 1)} (ha : a ≠ 0) :
castSucc (a.pred ha) < b ↔ a ≤ b := by
rw [castSucc_pred_eq_pred_castSucc, pred_castSucc_lt_iff]
theorem castSucc_pred_lt {a : Fin (n + 1)} (ha : a ≠ 0) :
castSucc (a.pred ha) < a := by rw [castSucc_pred_lt_iff, le_def]
end Pred
section CastPred
/-- `castPred i` sends `i : Fin (n + 1)` to `Fin n` as long as i ≠ last n. -/
@[inline] def castPred (i : Fin (n + 1)) (h : i ≠ last n) : Fin n := castLT i (val_lt_last h)
@[simp]
lemma castLT_eq_castPred (i : Fin (n + 1)) (h : i < last _) (h' := Fin.ext_iff.not.2 h.ne) :
castLT i h = castPred i h' := rfl
@[simp]
lemma coe_castPred (i : Fin (n + 1)) (h : i ≠ last _) : (castPred i h : ℕ) = i := rfl
@[simp]
theorem castPred_castSucc {i : Fin n} (h' := Fin.ext_iff.not.2 (castSucc_lt_last i).ne) :
castPred (castSucc i) h' = i := rfl
@[simp]
theorem castSucc_castPred (i : Fin (n + 1)) (h : i ≠ last n) :
castSucc (i.castPred h) = i := by
rcases exists_castSucc_eq.mpr h with ⟨y, rfl⟩
rw [castPred_castSucc]
theorem castPred_eq_iff_eq_castSucc (i : Fin (n + 1)) (hi : i ≠ last _) (j : Fin n) :
castPred i hi = j ↔ i = castSucc j :=
⟨fun h => by rw [← h, castSucc_castPred], fun h => by simp_rw [h, castPred_castSucc]⟩
@[simp]
theorem castPred_mk (i : ℕ) (h₁ : i < n) (h₂ := h₁.trans (Nat.lt_succ_self _))
(h₃ : ⟨i, h₂⟩ ≠ last _ := (ne_iff_vne _ _).mpr (val_last _ ▸ h₁.ne)) :
castPred ⟨i, h₂⟩ h₃ = ⟨i, h₁⟩ := rfl
@[simp]
theorem castPred_le_castPred_iff {i j : Fin (n + 1)} {hi : i ≠ last n} {hj : j ≠ last n} :
castPred i hi ≤ castPred j hj ↔ i ≤ j := Iff.rfl
/-- A version of the right-to-left implication of `castPred_le_castPred_iff`
that deduces `i ≠ last n` from `i ≤ j` and `j ≠ last n`. -/
@[gcongr]
theorem castPred_le_castPred {i j : Fin (n + 1)} (h : i ≤ j) (hj : j ≠ last n) :
castPred i (by rw [← lt_last_iff_ne_last] at hj ⊢; exact Fin.lt_of_le_of_lt h hj) ≤
castPred j hj :=
h
@[simp]
theorem castPred_lt_castPred_iff {i j : Fin (n + 1)} {hi : i ≠ last n} {hj : j ≠ last n} :
castPred i hi < castPred j hj ↔ i < j := Iff.rfl
/-- A version of the right-to-left implication of `castPred_lt_castPred_iff`
that deduces `i ≠ last n` from `i < j`. -/
@[gcongr]
theorem castPred_lt_castPred {i j : Fin (n + 1)} (h : i < j) (hj : j ≠ last n) :
castPred i (ne_last_of_lt h) < castPred j hj := h
theorem castPred_lt_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ last n) :
castPred i hi < j ↔ i < castSucc j := by
rw [← castSucc_lt_castSucc_iff, castSucc_castPred]
theorem lt_castPred_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ last n) :
j < castPred i hi ↔ castSucc j < i := by
rw [← castSucc_lt_castSucc_iff, castSucc_castPred]
theorem castPred_le_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ last n) :
castPred i hi ≤ j ↔ i ≤ castSucc j := by
rw [← castSucc_le_castSucc_iff, castSucc_castPred]
theorem le_castPred_iff {j : Fin n} {i : Fin (n + 1)} (hi : i ≠ last n) :
j ≤ castPred i hi ↔ castSucc j ≤ i := by
rw [← castSucc_le_castSucc_iff, castSucc_castPred]
@[simp]
theorem castPred_inj {i j : Fin (n + 1)} {hi : i ≠ last n} {hj : j ≠ last n} :
castPred i hi = castPred j hj ↔ i = j := by
simp_rw [Fin.ext_iff, le_antisymm_iff, ← le_def, castPred_le_castPred_iff]
theorem castPred_zero' [NeZero n] (h := Fin.ext_iff.not.2 last_pos'.ne) :
castPred (0 : Fin (n + 1)) h = 0 := rfl
theorem castPred_zero (h := Fin.ext_iff.not.2 last_pos.ne) :
castPred (0 : Fin (n + 2)) h = 0 := rfl
@[simp]
theorem castPred_eq_zero [NeZero n] {i : Fin (n + 1)} (h : i ≠ last n) :
Fin.castPred i h = 0 ↔ i = 0 := by
rw [← castPred_zero', castPred_inj]
@[simp]
theorem castPred_one [NeZero n] (h := Fin.ext_iff.not.2 one_lt_last.ne) :
castPred (1 : Fin (n + 2)) h = 1 := by
cases n
· exact subsingleton_one.elim _ 1
· rfl
theorem succ_castPred_eq_castPred_succ {a : Fin (n + 1)} (ha : a ≠ last n)
(ha' := a.succ_ne_last_iff.mpr ha) :
(a.castPred ha).succ = (succ a).castPred ha' := rfl
theorem succ_castPred_eq_add_one {a : Fin (n + 1)} (ha : a ≠ last n) :
(a.castPred ha).succ = a + 1 := by
cases a using lastCases
· exact (ha rfl).elim
· rw [castPred_castSucc, coeSucc_eq_succ]
theorem castpred_succ_le_iff {a b : Fin (n + 1)} (ha : succ a ≠ last (n + 1)) :
(succ a).castPred ha ≤ b ↔ a < b := by
rw [castPred_le_iff, succ_le_castSucc_iff]
theorem lt_castPred_succ_iff {a b : Fin (n + 1)} (ha : succ a ≠ last (n + 1)) :
b < (succ a).castPred ha ↔ b ≤ a := by
rw [lt_castPred_iff, castSucc_lt_succ_iff]
theorem lt_castPred_succ {a : Fin (n + 1)} (ha : succ a ≠ last (n + 1)) :
a < (succ a).castPred ha := by rw [lt_castPred_succ_iff, le_def]
theorem succ_castPred_le_iff {a b : Fin (n + 1)} (ha : a ≠ last n) :
succ (a.castPred ha) ≤ b ↔ a < b := by
rw [succ_castPred_eq_castPred_succ ha, castpred_succ_le_iff]
theorem lt_succ_castPred_iff {a b : Fin (n + 1)} (ha : a ≠ last n) :
b < succ (a.castPred ha) ↔ b ≤ a := by
rw [succ_castPred_eq_castPred_succ ha, lt_castPred_succ_iff]
theorem lt_succ_castPred {a : Fin (n + 1)} (ha : a ≠ last n) :
a < succ (a.castPred ha) := by rw [lt_succ_castPred_iff, le_def]
theorem castPred_le_pred_iff {a b : Fin (n + 1)} (ha : a ≠ last n) (hb : b ≠ 0) :
castPred a ha ≤ pred b hb ↔ a < b := by
rw [le_pred_iff, succ_castPred_le_iff]
theorem pred_lt_castPred_iff {a b : Fin (n + 1)} (ha : a ≠ 0) (hb : b ≠ last n) :
pred a ha < castPred b hb ↔ a ≤ b := by
rw [lt_castPred_iff, castSucc_pred_lt_iff ha]
theorem pred_lt_castPred {a : Fin (n + 1)} (h₁ : a ≠ 0) (h₂ : a ≠ last n) :
pred a h₁ < castPred a h₂ := by
rw [pred_lt_castPred_iff, le_def]
end CastPred
section SuccAbove
variable {p : Fin (n + 1)} {i j : Fin n}
/-- `succAbove p i` embeds `Fin n` into `Fin (n + 1)` with a hole around `p`. -/
def succAbove (p : Fin (n + 1)) (i : Fin n) : Fin (n + 1) :=
if castSucc i < p then i.castSucc else i.succ
/-- Embedding `i : Fin n` into `Fin (n + 1)` with a hole around `p : Fin (n + 1)`
embeds `i` by `castSucc` when the resulting `i.castSucc < p`. -/
lemma succAbove_of_castSucc_lt (p : Fin (n + 1)) (i : Fin n) (h : castSucc i < p) :
p.succAbove i = castSucc i := if_pos h
lemma succAbove_of_succ_le (p : Fin (n + 1)) (i : Fin n) (h : succ i ≤ p) :
p.succAbove i = castSucc i :=
succAbove_of_castSucc_lt _ _ (castSucc_lt_iff_succ_le.mpr h)
/-- Embedding `i : Fin n` into `Fin (n + 1)` with a hole around `p : Fin (n + 1)`
embeds `i` by `succ` when the resulting `p < i.succ`. -/
lemma succAbove_of_le_castSucc (p : Fin (n + 1)) (i : Fin n) (h : p ≤ castSucc i) :
p.succAbove i = i.succ := if_neg (Fin.not_lt.2 h)
lemma succAbove_of_lt_succ (p : Fin (n + 1)) (i : Fin n) (h : p < succ i) :
p.succAbove i = succ i := succAbove_of_le_castSucc _ _ (le_castSucc_iff.mpr h)
lemma succAbove_succ_of_lt (p i : Fin n) (h : p < i) : succAbove p.succ i = i.succ :=
succAbove_of_lt_succ _ _ (succ_lt_succ_iff.mpr h)
lemma succAbove_succ_of_le (p i : Fin n) (h : i ≤ p) : succAbove p.succ i = i.castSucc :=
succAbove_of_succ_le _ _ (succ_le_succ_iff.mpr h)
@[simp] lemma succAbove_succ_self (j : Fin n) : j.succ.succAbove j = j.castSucc :=
succAbove_succ_of_le _ _ Fin.le_rfl
lemma succAbove_castSucc_of_lt (p i : Fin n) (h : i < p) : succAbove p.castSucc i = i.castSucc :=
succAbove_of_castSucc_lt _ _ (castSucc_lt_castSucc_iff.2 h)
lemma succAbove_castSucc_of_le (p i : Fin n) (h : p ≤ i) : succAbove p.castSucc i = i.succ :=
succAbove_of_le_castSucc _ _ (castSucc_le_castSucc_iff.2 h)
@[simp] lemma succAbove_castSucc_self (j : Fin n) : succAbove j.castSucc j = j.succ :=
succAbove_castSucc_of_le _ _ Fin.le_rfl
lemma succAbove_pred_of_lt (p i : Fin (n + 1)) (h : p < i)
(hi := Fin.ne_of_gt <| Fin.lt_of_le_of_lt p.zero_le h) : succAbove p (i.pred hi) = i := by
rw [succAbove_of_lt_succ _ _ (succ_pred _ _ ▸ h), succ_pred]
lemma succAbove_pred_of_le (p i : Fin (n + 1)) (h : i ≤ p) (hi : i ≠ 0) :
succAbove p (i.pred hi) = (i.pred hi).castSucc := succAbove_of_succ_le _ _ (succ_pred _ _ ▸ h)
@[simp] lemma succAbove_pred_self (p : Fin (n + 1)) (h : p ≠ 0) :
succAbove p (p.pred h) = (p.pred h).castSucc := succAbove_pred_of_le _ _ Fin.le_rfl h
lemma succAbove_castPred_of_lt (p i : Fin (n + 1)) (h : i < p)
(hi := Fin.ne_of_lt <| Nat.lt_of_lt_of_le h p.le_last) : succAbove p (i.castPred hi) = i := by
rw [succAbove_of_castSucc_lt _ _ (castSucc_castPred _ _ ▸ h), castSucc_castPred]
lemma succAbove_castPred_of_le (p i : Fin (n + 1)) (h : p ≤ i) (hi : i ≠ last n) :
succAbove p (i.castPred hi) = (i.castPred hi).succ :=
succAbove_of_le_castSucc _ _ (castSucc_castPred _ _ ▸ h)
lemma succAbove_castPred_self (p : Fin (n + 1)) (h : p ≠ last n) :
succAbove p (p.castPred h) = (p.castPred h).succ := succAbove_castPred_of_le _ _ Fin.le_rfl h
/-- Embedding `i : Fin n` into `Fin (n + 1)` with a hole around `p : Fin (n + 1)`
never results in `p` itself -/
@[simp]
lemma succAbove_ne (p : Fin (n + 1)) (i : Fin n) : p.succAbove i ≠ p := by
rcases p.castSucc_lt_or_lt_succ i with (h | h)
· rw [succAbove_of_castSucc_lt _ _ h]
exact Fin.ne_of_lt h
· rw [succAbove_of_lt_succ _ _ h]
exact Fin.ne_of_gt h
@[simp]
lemma ne_succAbove (p : Fin (n + 1)) (i : Fin n) : p ≠ p.succAbove i := (succAbove_ne _ _).symm
/-- Given a fixed pivot `p : Fin (n + 1)`, `p.succAbove` is injective. -/
lemma succAbove_right_injective : Injective p.succAbove := by
rintro i j hij
unfold succAbove at hij
split_ifs at hij with hi hj hj
· exact castSucc_injective _ hij
· rw [hij] at hi
cases hj <| Nat.lt_trans j.castSucc_lt_succ hi
· rw [← hij] at hj
cases hi <| Nat.lt_trans i.castSucc_lt_succ hj
· exact succ_injective _ hij
/-- Given a fixed pivot `p : Fin (n + 1)`, `p.succAbove` is injective. -/
lemma succAbove_right_inj : p.succAbove i = p.succAbove j ↔ i = j :=
succAbove_right_injective.eq_iff
/-- `Fin.succAbove p` as an `Embedding`. -/
@[simps!]
def succAboveEmb (p : Fin (n + 1)) : Fin n ↪ Fin (n + 1) := ⟨p.succAbove, succAbove_right_injective⟩
@[simp, norm_cast] lemma coe_succAboveEmb (p : Fin (n + 1)) : p.succAboveEmb = p.succAbove := rfl
@[simp]
lemma succAbove_ne_zero_zero [NeZero n] {a : Fin (n + 1)} (ha : a ≠ 0) : a.succAbove 0 = 0 := by
rw [Fin.succAbove_of_castSucc_lt]
· exact castSucc_zero'
· exact Fin.pos_iff_ne_zero.2 ha
lemma succAbove_eq_zero_iff [NeZero n] {a : Fin (n + 1)} {b : Fin n} (ha : a ≠ 0) :
a.succAbove b = 0 ↔ b = 0 := by
rw [← succAbove_ne_zero_zero ha, succAbove_right_inj]
lemma succAbove_ne_zero [NeZero n] {a : Fin (n + 1)} {b : Fin n} (ha : a ≠ 0) (hb : b ≠ 0) :
a.succAbove b ≠ 0 := mt (succAbove_eq_zero_iff ha).mp hb
/-- Embedding `Fin n` into `Fin (n + 1)` with a hole around zero embeds by `succ`. -/
@[simp] lemma succAbove_zero : succAbove (0 : Fin (n + 1)) = Fin.succ := rfl
lemma succAbove_zero_apply (i : Fin n) : succAbove 0 i = succ i := by rw [succAbove_zero]
@[simp] lemma succAbove_ne_last_last {a : Fin (n + 2)} (h : a ≠ last (n + 1)) :
a.succAbove (last n) = last (n + 1) := by
rw [succAbove_of_lt_succ _ _ (succ_last _ ▸ lt_last_iff_ne_last.2 h), succ_last]
lemma succAbove_eq_last_iff {a : Fin (n + 2)} {b : Fin (n + 1)} (ha : a ≠ last _) :
a.succAbove b = last _ ↔ b = last _ := by
rw [← succAbove_ne_last_last ha, succAbove_right_inj]
lemma succAbove_ne_last {a : Fin (n + 2)} {b : Fin (n + 1)} (ha : a ≠ last _) (hb : b ≠ last _) :
a.succAbove b ≠ last _ := mt (succAbove_eq_last_iff ha).mp hb
/-- Embedding `Fin n` into `Fin (n + 1)` with a hole around `last n` embeds by `castSucc`. -/
@[simp] lemma succAbove_last : succAbove (last n) = castSucc := by
ext; simp only [succAbove_of_castSucc_lt, castSucc_lt_last]
lemma succAbove_last_apply (i : Fin n) : succAbove (last n) i = castSucc i := by rw [succAbove_last]
/-- Embedding `i : Fin n` into `Fin (n + 1)` using a pivot `p` that is greater
results in a value that is less than `p`. -/
lemma succAbove_lt_iff_castSucc_lt (p : Fin (n + 1)) (i : Fin n) :
p.succAbove i < p ↔ castSucc i < p := by
rcases castSucc_lt_or_lt_succ p i with H | H
· rwa [iff_true_right H, succAbove_of_castSucc_lt _ _ H]
· rw [castSucc_lt_iff_succ_le, iff_false_right (Fin.not_le.2 H), succAbove_of_lt_succ _ _ H]
exact Fin.not_lt.2 <| Fin.le_of_lt H
lemma succAbove_lt_iff_succ_le (p : Fin (n + 1)) (i : Fin n) :
p.succAbove i < p ↔ succ i ≤ p := by
rw [succAbove_lt_iff_castSucc_lt, castSucc_lt_iff_succ_le]
/-- Embedding `i : Fin n` into `Fin (n + 1)` using a pivot `p` that is lesser
results in a value that is greater than `p`. -/
lemma lt_succAbove_iff_le_castSucc (p : Fin (n + 1)) (i : Fin n) :
p < p.succAbove i ↔ p ≤ castSucc i := by
rcases castSucc_lt_or_lt_succ p i with H | H
· rw [iff_false_right (Fin.not_le.2 H), succAbove_of_castSucc_lt _ _ H]
exact Fin.not_lt.2 <| Fin.le_of_lt H
· rwa [succAbove_of_lt_succ _ _ H, iff_true_left H, le_castSucc_iff]
lemma lt_succAbove_iff_lt_castSucc (p : Fin (n + 1)) (i : Fin n) :
p < p.succAbove i ↔ p < succ i := by rw [lt_succAbove_iff_le_castSucc, le_castSucc_iff]
/-- Embedding a positive `Fin n` results in a positive `Fin (n + 1)` -/
lemma succAbove_pos [NeZero n] (p : Fin (n + 1)) (i : Fin n) (h : 0 < i) : 0 < p.succAbove i := by
by_cases H : castSucc i < p
· simpa [succAbove_of_castSucc_lt _ _ H] using castSucc_pos' h
· simp [succAbove_of_le_castSucc _ _ (Fin.not_lt.1 H)]
lemma castPred_succAbove (x : Fin n) (y : Fin (n + 1)) (h : castSucc x < y)
(h' := Fin.ne_last_of_lt <| (succAbove_lt_iff_castSucc_lt ..).2 h) :
(y.succAbove x).castPred h' = x := by
rw [castPred_eq_iff_eq_castSucc, succAbove_of_castSucc_lt _ _ h]
lemma pred_succAbove (x : Fin n) (y : Fin (n + 1)) (h : y ≤ castSucc x)
(h' := Fin.ne_zero_of_lt <| (lt_succAbove_iff_le_castSucc ..).2 h) :
(y.succAbove x).pred h' = x := by simp only [succAbove_of_le_castSucc _ _ h, pred_succ]
lemma exists_succAbove_eq {x y : Fin (n + 1)} (h : x ≠ y) : ∃ z, y.succAbove z = x := by
obtain hxy | hyx := Fin.lt_or_lt_of_ne h
exacts [⟨_, succAbove_castPred_of_lt _ _ hxy⟩, ⟨_, succAbove_pred_of_lt _ _ hyx⟩]
@[simp] lemma exists_succAbove_eq_iff {x y : Fin (n + 1)} : (∃ z, x.succAbove z = y) ↔ y ≠ x :=
⟨by rintro ⟨y, rfl⟩; exact succAbove_ne _ _, exists_succAbove_eq⟩
/-- The range of `p.succAbove` is everything except `p`. -/
@[simp] lemma range_succAbove (p : Fin (n + 1)) : Set.range p.succAbove = {p}ᶜ :=
Set.ext fun _ => exists_succAbove_eq_iff
@[simp] lemma range_succ (n : ℕ) : Set.range (Fin.succ : Fin n → Fin (n + 1)) = {0}ᶜ := by
rw [← succAbove_zero]; exact range_succAbove (0 : Fin (n + 1))
/-- `succAbove` is injective at the pivot -/
lemma succAbove_left_injective : Injective (@succAbove n) := fun _ _ h => by
simpa [range_succAbove] using congr_arg (fun f : Fin n → Fin (n + 1) => (Set.range f)ᶜ) h
/-- `succAbove` is injective at the pivot -/
@[simp] lemma succAbove_left_inj {x y : Fin (n + 1)} : x.succAbove = y.succAbove ↔ x = y :=
succAbove_left_injective.eq_iff
@[simp] lemma zero_succAbove {n : ℕ} (i : Fin n) : (0 : Fin (n + 1)).succAbove i = i.succ := rfl
lemma succ_succAbove_zero {n : ℕ} [NeZero n] (i : Fin n) : succAbove i.succ 0 = 0 := by simp
/-- `succ` commutes with `succAbove`. -/
@[simp] lemma succ_succAbove_succ {n : ℕ} (i : Fin (n + 1)) (j : Fin n) :
i.succ.succAbove j.succ = (i.succAbove j).succ := by
obtain h | h := i.lt_or_le (succ j)
· rw [succAbove_of_lt_succ _ _ h, succAbove_succ_of_lt _ _ h]
· rwa [succAbove_of_castSucc_lt _ _ h, succAbove_succ_of_le, succ_castSucc]
/-- `castSucc` commutes with `succAbove`. -/
@[simp]
lemma castSucc_succAbove_castSucc {n : ℕ} {i : Fin (n + 1)} {j : Fin n} :
i.castSucc.succAbove j.castSucc = (i.succAbove j).castSucc := by
rcases i.le_or_lt (castSucc j) with (h | h)
· rw [succAbove_of_le_castSucc _ _ h, succAbove_castSucc_of_le _ _ h, succ_castSucc]
· rw [succAbove_of_castSucc_lt _ _ h, succAbove_castSucc_of_lt _ _ h]
/-- `pred` commutes with `succAbove`. -/
lemma pred_succAbove_pred {a : Fin (n + 2)} {b : Fin (n + 1)} (ha : a ≠ 0) (hb : b ≠ 0)
(hk := succAbove_ne_zero ha hb) :
(a.pred ha).succAbove (b.pred hb) = (a.succAbove b).pred hk := by
simp_rw [← succ_inj (b := pred (succAbove a b) hk), ← succ_succAbove_succ, succ_pred]
/-- `castPred` commutes with `succAbove`. -/
lemma castPred_succAbove_castPred {a : Fin (n + 2)} {b : Fin (n + 1)} (ha : a ≠ last (n + 1))
(hb : b ≠ last n) (hk := succAbove_ne_last ha hb) :
(a.castPred ha).succAbove (b.castPred hb) = (a.succAbove b).castPred hk := by
simp_rw [← castSucc_inj (b := (a.succAbove b).castPred hk), ← castSucc_succAbove_castSucc,
castSucc_castPred]
lemma one_succAbove_zero {n : ℕ} : (1 : Fin (n + 2)).succAbove 0 = 0 := by
rfl
/-- By moving `succ` to the outside of this expression, we create opportunities for further
simplification using `succAbove_zero` or `succ_succAbove_zero`. -/
@[simp] lemma succ_succAbove_one {n : ℕ} [NeZero n] (i : Fin (n + 1)) :
i.succ.succAbove 1 = (i.succAbove 0).succ := by
rw [← succ_zero_eq_one']; convert succ_succAbove_succ i 0
@[simp] lemma one_succAbove_succ {n : ℕ} (j : Fin n) :
(1 : Fin (n + 2)).succAbove j.succ = j.succ.succ := by
have := succ_succAbove_succ 0 j; rwa [succ_zero_eq_one, zero_succAbove] at this
@[simp] lemma one_succAbove_one {n : ℕ} : (1 : Fin (n + 3)).succAbove 1 = 2 := by
simpa only [succ_zero_eq_one, val_zero, zero_succAbove, succ_one_eq_two]
using succ_succAbove_succ (0 : Fin (n + 2)) (0 : Fin (n + 2))
end SuccAbove
section PredAbove
/-- `predAbove p i` surjects `i : Fin (n+1)` into `Fin n` by subtracting one if `p < i`. -/
def predAbove (p : Fin n) (i : Fin (n + 1)) : Fin n :=
if h : castSucc p < i
then pred i (Fin.ne_zero_of_lt h)
else castPred i (Fin.ne_of_lt <| Fin.lt_of_le_of_lt (Fin.not_lt.1 h) (castSucc_lt_last _))
lemma predAbove_of_le_castSucc (p : Fin n) (i : Fin (n + 1)) (h : i ≤ castSucc p)
(hi := Fin.ne_of_lt <| Fin.lt_of_le_of_lt h <| castSucc_lt_last _) :
p.predAbove i = i.castPred hi := dif_neg <| Fin.not_lt.2 h
lemma predAbove_of_lt_succ (p : Fin n) (i : Fin (n + 1)) (h : i < succ p)
(hi := Fin.ne_last_of_lt h) : p.predAbove i = i.castPred hi :=
predAbove_of_le_castSucc _ _ (le_castSucc_iff.mpr h)
lemma predAbove_of_castSucc_lt (p : Fin n) (i : Fin (n + 1)) (h : castSucc p < i)
(hi := Fin.ne_zero_of_lt h) : p.predAbove i = i.pred hi := dif_pos h
lemma predAbove_of_succ_le (p : Fin n) (i : Fin (n + 1)) (h : succ p ≤ i)
(hi := Fin.ne_of_gt <| Fin.lt_of_lt_of_le (succ_pos _) h) :
p.predAbove i = i.pred hi := predAbove_of_castSucc_lt _ _ (castSucc_lt_iff_succ_le.mpr h)
lemma predAbove_succ_of_lt (p i : Fin n) (h : i < p) (hi := succ_ne_last_of_lt h) :
p.predAbove (succ i) = (i.succ).castPred hi := by
rw [predAbove_of_lt_succ _ _ (succ_lt_succ_iff.mpr h)]
lemma predAbove_succ_of_le (p i : Fin n) (h : p ≤ i) : p.predAbove (succ i) = i := by
rw [predAbove_of_succ_le _ _ (succ_le_succ_iff.mpr h), pred_succ]
@[simp] lemma predAbove_succ_self (p : Fin n) : p.predAbove (succ p) = p :=
predAbove_succ_of_le _ _ Fin.le_rfl
lemma predAbove_castSucc_of_lt (p i : Fin n) (h : p < i) (hi := castSucc_ne_zero_of_lt h) :
p.predAbove (castSucc i) = i.castSucc.pred hi := by
rw [predAbove_of_castSucc_lt _ _ (castSucc_lt_castSucc_iff.2 h)]
lemma predAbove_castSucc_of_le (p i : Fin n) (h : i ≤ p) : p.predAbove (castSucc i) = i := by
rw [predAbove_of_le_castSucc _ _ (castSucc_le_castSucc_iff.mpr h), castPred_castSucc]
@[simp] lemma predAbove_castSucc_self (p : Fin n) : p.predAbove (castSucc p) = p :=
predAbove_castSucc_of_le _ _ Fin.le_rfl
lemma predAbove_pred_of_lt (p i : Fin (n + 1)) (h : i < p) (hp := Fin.ne_zero_of_lt h)
(hi := Fin.ne_last_of_lt h) : (pred p hp).predAbove i = castPred i hi := by
rw [predAbove_of_lt_succ _ _ (succ_pred _ _ ▸ h)]
lemma predAbove_pred_of_le (p i : Fin (n + 1)) (h : p ≤ i) (hp : p ≠ 0)
(hi := Fin.ne_of_gt <| Fin.lt_of_lt_of_le (Fin.pos_iff_ne_zero.2 hp) h) :
(pred p hp).predAbove i = pred i hi := by rw [predAbove_of_succ_le _ _ (succ_pred _ _ ▸ h)]
lemma predAbove_pred_self (p : Fin (n + 1)) (hp : p ≠ 0) : (pred p hp).predAbove p = pred p hp :=
predAbove_pred_of_le _ _ Fin.le_rfl hp
lemma predAbove_castPred_of_lt (p i : Fin (n + 1)) (h : p < i) (hp := Fin.ne_last_of_lt h)
(hi := Fin.ne_zero_of_lt h) : (castPred p hp).predAbove i = pred i hi := by
rw [predAbove_of_castSucc_lt _ _ (castSucc_castPred _ _ ▸ h)]
lemma predAbove_castPred_of_le (p i : Fin (n + 1)) (h : i ≤ p) (hp : p ≠ last n)
(hi := Fin.ne_of_lt <| Fin.lt_of_le_of_lt h <| Fin.lt_last_iff_ne_last.2 hp) :
(castPred p hp).predAbove i = castPred i hi := by
rw [predAbove_of_le_castSucc _ _ (castSucc_castPred _ _ ▸ h)]
lemma predAbove_castPred_self (p : Fin (n + 1)) (hp : p ≠ last n) :
(castPred p hp).predAbove p = castPred p hp := predAbove_castPred_of_le _ _ Fin.le_rfl hp
@[simp] lemma predAbove_right_zero [NeZero n] {i : Fin n} : predAbove (i : Fin n) 0 = 0 := by
cases n
· exact i.elim0
· rw [predAbove_of_le_castSucc _ _ (zero_le _), castPred_zero]
lemma predAbove_zero_succ [NeZero n] {i : Fin n} : predAbove 0 i.succ = i := by
rw [predAbove_succ_of_le _ _ (Fin.zero_le' _)]
@[simp]
lemma succ_predAbove_zero [NeZero n] {j : Fin (n + 1)} (h : j ≠ 0) : succ (predAbove 0 j) = j := by
rcases exists_succ_eq_of_ne_zero h with ⟨k, rfl⟩
rw [predAbove_zero_succ]
@[simp] lemma predAbove_zero_of_ne_zero [NeZero n] {i : Fin (n + 1)} (hi : i ≠ 0) :
predAbove 0 i = i.pred hi := by
obtain ⟨y, rfl⟩ := exists_succ_eq.2 hi; exact predAbove_zero_succ
lemma predAbove_zero [NeZero n] {i : Fin (n + 1)} :
predAbove (0 : Fin n) i = if hi : i = 0 then 0 else i.pred hi := by
split_ifs with hi
· rw [hi, predAbove_right_zero]
· rw [predAbove_zero_of_ne_zero hi]
@[simp] lemma predAbove_right_last {i : Fin (n + 1)} : predAbove i (last (n + 1)) = last n := by
rw [predAbove_of_castSucc_lt _ _ (castSucc_lt_last _), pred_last]
lemma predAbove_last_castSucc {i : Fin (n + 1)} : predAbove (last n) (i.castSucc) = i := by
rw [predAbove_of_le_castSucc _ _ (castSucc_le_castSucc_iff.mpr (le_last _)), castPred_castSucc]
@[simp] lemma predAbove_last_of_ne_last {i : Fin (n + 2)} (hi : i ≠ last (n + 1)) :
predAbove (last n) i = castPred i hi := by
rw [← exists_castSucc_eq] at hi
rcases hi with ⟨y, rfl⟩
exact predAbove_last_castSucc
lemma predAbove_last_apply {i : Fin (n + 2)} :
predAbove (last n) i = if hi : i = last _ then last _ else i.castPred hi := by
split_ifs with hi
· rw [hi, predAbove_right_last]
· rw [predAbove_last_of_ne_last hi]
/-- Sending `Fin (n+1)` to `Fin n` by subtracting one from anything above `p`
then back to `Fin (n+1)` with a gap around `p` is the identity away from `p`. -/
@[simp]
lemma succAbove_predAbove {p : Fin n} {i : Fin (n + 1)} (h : i ≠ castSucc p) :
p.castSucc.succAbove (p.predAbove i) = i := by
obtain h | h := Fin.lt_or_lt_of_ne h
· rw [predAbove_of_le_castSucc _ _ (Fin.le_of_lt h), succAbove_castPred_of_lt _ _ h]
· rw [predAbove_of_castSucc_lt _ _ h, succAbove_pred_of_lt _ _ h]
/-- Sending `Fin (n+1)` to `Fin n` by subtracting one from anything above `p`
then back to `Fin (n+1)` with a gap around `p.succ` is the identity away from `p.succ`. -/
@[simp]
lemma succ_succAbove_predAbove {n : ℕ} {p : Fin n} {i : Fin (n + 1)} (h : i ≠ p.succ) :
p.succ.succAbove (p.predAbove i) = i := by
obtain h | h := Fin.lt_or_lt_of_ne h
· rw [predAbove_of_le_castSucc _ _ (le_castSucc_iff.2 h),
succAbove_castPred_of_lt _ _ h]
· rw [predAbove_of_castSucc_lt _ _ (Fin.lt_of_le_of_lt (p.castSucc_le_succ) h),
succAbove_pred_of_lt _ _ h]
/-- Sending `Fin n` into `Fin (n + 1)` with a gap at `p`
then back to `Fin n` by subtracting one from anything above `p` is the identity. -/
@[simp]
lemma predAbove_succAbove (p : Fin n) (i : Fin n) : p.predAbove ((castSucc p).succAbove i) = i := by
obtain h | h := p.le_or_lt i
· rw [succAbove_castSucc_of_le _ _ h, predAbove_succ_of_le _ _ h]
· rw [succAbove_castSucc_of_lt _ _ h, predAbove_castSucc_of_le _ _ <| Fin.le_of_lt h]
/-- `succ` commutes with `predAbove`. -/
@[simp] lemma succ_predAbove_succ (a : Fin n) (b : Fin (n + 1)) :
a.succ.predAbove b.succ = (a.predAbove b).succ := by
obtain h | h := Fin.le_or_lt (succ a) b
· rw [predAbove_of_castSucc_lt _ _ h, predAbove_succ_of_le _ _ h, succ_pred]
· rw [predAbove_of_lt_succ _ _ h, predAbove_succ_of_lt _ _ h, succ_castPred_eq_castPred_succ]
/-- `castSucc` commutes with `predAbove`. -/
@[simp] lemma castSucc_predAbove_castSucc {n : ℕ} (a : Fin n) (b : Fin (n + 1)) :
a.castSucc.predAbove b.castSucc = (a.predAbove b).castSucc := by
obtain h | h := a.castSucc.lt_or_le b
· rw [predAbove_of_castSucc_lt _ _ h, predAbove_castSucc_of_lt _ _ h,
castSucc_pred_eq_pred_castSucc]
· rw [predAbove_of_le_castSucc _ _ h, predAbove_castSucc_of_le _ _ h, castSucc_castPred]
end PredAbove
section DivMod
/-- Compute `i / n`, where `n` is a `Nat` and inferred the type of `i`. -/
def divNat (i : Fin (m * n)) : Fin m :=
⟨i / n, Nat.div_lt_of_lt_mul <| Nat.mul_comm m n ▸ i.prop⟩
@[simp]
theorem coe_divNat (i : Fin (m * n)) : (i.divNat : ℕ) = i / n :=
rfl
/-- Compute `i % n`, where `n` is a `Nat` and inferred the type of `i`. -/
def modNat (i : Fin (m * n)) : Fin n := ⟨i % n, Nat.mod_lt _ <| Nat.pos_of_mul_pos_left i.pos⟩
@[simp]
theorem coe_modNat (i : Fin (m * n)) : (i.modNat : ℕ) = i % n :=
rfl
theorem modNat_rev (i : Fin (m * n)) : i.rev.modNat = i.modNat.rev := by
ext
have H₁ : i % n + 1 ≤ n := i.modNat.is_lt
have H₂ : i / n < m := i.divNat.is_lt
simp only [coe_modNat, val_rev]
calc
(m * n - (i + 1)) % n = (m * n - ((i / n) * n + i % n + 1)) % n := by rw [Nat.div_add_mod']
_ = ((m - i / n - 1) * n + (n - (i % n + 1))) % n := by
rw [Nat.mul_sub_right_distrib, Nat.one_mul, Nat.sub_add_sub_cancel _ H₁,
Nat.mul_sub_right_distrib, Nat.sub_sub, Nat.add_assoc]
exact Nat.le_mul_of_pos_left _ <| Nat.le_sub_of_add_le' H₂
_ = n - (i % n + 1) := by
rw [Nat.mul_comm, Nat.mul_add_mod, Nat.mod_eq_of_lt]; exact i.modNat.rev.is_lt
end DivMod
section Rec
/-!
### recursion and induction principles
-/
end Rec
open scoped Relator in
theorem liftFun_iff_succ {α : Type*} (r : α → α → Prop) [IsTrans α r] {f : Fin (n + 1) → α} :
((· < ·) ⇒ r) f f ↔ ∀ i : Fin n, r (f (castSucc i)) (f i.succ) := by
constructor
· intro H i
exact H i.castSucc_lt_succ
· refine fun H i => Fin.induction (fun h ↦ ?_) ?_
· simp [le_def] at h
· intro j ihj hij
rw [← le_castSucc_iff] at hij
obtain hij | hij := (le_def.1 hij).eq_or_lt
· obtain rfl := Fin.ext hij
exact H _
· exact _root_.trans (ihj hij) (H j)
section AddGroup
open Nat Int
/-- Negation on `Fin n` -/
instance neg (n : ℕ) : Neg (Fin n) :=
⟨fun a => ⟨(n - a) % n, Nat.mod_lt _ a.pos⟩⟩
theorem neg_def (a : Fin n) : -a = ⟨(n - a) % n, Nat.mod_lt _ a.pos⟩ := rfl
protected theorem coe_neg (a : Fin n) : ((-a : Fin n) : ℕ) = (n - a) % n :=
rfl
theorem eq_zero (n : Fin 1) : n = 0 := Subsingleton.elim _ _
lemma eq_one_of_ne_zero (i : Fin 2) (hi : i ≠ 0) : i = 1 := by fin_omega
@[deprecated (since := "2025-04-27")]
alias eq_one_of_neq_zero := eq_one_of_ne_zero
@[simp]
theorem coe_neg_one : ↑(-1 : Fin (n + 1)) = n := by
cases n
· simp
rw [Fin.coe_neg, Fin.val_one, Nat.add_one_sub_one, Nat.mod_eq_of_lt]
constructor
theorem last_sub (i : Fin (n + 1)) : last n - i = Fin.rev i :=
Fin.ext <| by rw [coe_sub_iff_le.2 i.le_last, val_last, val_rev, Nat.succ_sub_succ_eq_sub]
theorem add_one_le_of_lt {n : ℕ} {a b : Fin (n + 1)} (h : a < b) : a + 1 ≤ b := by
cases n <;> fin_omega
theorem exists_eq_add_of_le {n : ℕ} {a b : Fin n} (h : a ≤ b) : ∃ k ≤ b, b = a + k := by
obtain ⟨k, hk⟩ : ∃ k : ℕ, (b : ℕ) = a + k := Nat.exists_eq_add_of_le h
have hkb : k ≤ b := by omega
refine ⟨⟨k, hkb.trans_lt b.is_lt⟩, hkb, ?_⟩
simp [Fin.ext_iff, Fin.val_add, ← hk, Nat.mod_eq_of_lt b.is_lt]
theorem exists_eq_add_of_lt {n : ℕ} {a b : Fin (n + 1)} (h : a < b) :
∃ k < b, k + 1 ≤ b ∧ b = a + k + 1 := by
cases n
· omega
obtain ⟨k, hk⟩ : ∃ k : ℕ, (b : ℕ) = a + k + 1 := Nat.exists_eq_add_of_lt h
have hkb : k < b := by omega
refine ⟨⟨k, hkb.trans b.is_lt⟩, hkb, by fin_omega, ?_⟩
simp [Fin.ext_iff, Fin.val_add, ← hk, Nat.mod_eq_of_lt b.is_lt]
lemma pos_of_ne_zero {n : ℕ} {a : Fin (n + 1)} (h : a ≠ 0) :
0 < a :=
Nat.pos_of_ne_zero (val_ne_of_ne h)
lemma sub_succ_le_sub_of_le {n : ℕ} {u v : Fin (n + 2)} (h : u < v) : v - (u + 1) < v - u := by
fin_omega
end AddGroup
@[simp]
theorem coe_natCast_eq_mod (m n : ℕ) [NeZero m] :
((n : Fin m) : ℕ) = n % m :=
rfl
theorem coe_ofNat_eq_mod (m n : ℕ) [NeZero m] :
((ofNat(n) : Fin m) : ℕ) = ofNat(n) % m :=
rfl
section Mul
/-!
### mul
-/
protected theorem mul_one' [NeZero n] (k : Fin n) : k * 1 = k := by
rcases n with - | n
· simp [eq_iff_true_of_subsingleton]
cases n
· simp [fin_one_eq_zero]
simp [Fin.ext_iff, mul_def, mod_eq_of_lt (is_lt k)]
protected theorem one_mul' [NeZero n] (k : Fin n) : (1 : Fin n) * k = k := by
rw [Fin.mul_comm, Fin.mul_one']
protected theorem mul_zero' [NeZero n] (k : Fin n) : k * 0 = 0 := by simp [Fin.ext_iff, mul_def]
protected theorem zero_mul' [NeZero n] (k : Fin n) : (0 : Fin n) * k = 0 := by
simp [Fin.ext_iff, mul_def]
end Mul
end Fin
| Mathlib/Data/Fin/Basic.lean | 1,869 | 1,869 | |
/-
Copyright (c) 2017 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon
-/
import Mathlib.Data.PFunctor.Univariate.Basic
/-!
# M-types
M types are potentially infinite tree-like structures. They are defined
as the greatest fixpoint of a polynomial functor.
-/
universe u v w
open Nat Function
open List
variable (F : PFunctor.{u})
namespace PFunctor
namespace Approx
/-- `CofixA F n` is an `n` level approximation of an M-type -/
inductive CofixA : ℕ → Type u
| continue : CofixA 0
| intro {n} : ∀ a, (F.B a → CofixA n) → CofixA (succ n)
/-- default inhabitant of `CofixA` -/
protected def CofixA.default [Inhabited F.A] : ∀ n, CofixA F n
| 0 => CofixA.continue
| succ n => CofixA.intro default fun _ => CofixA.default n
instance [Inhabited F.A] {n} : Inhabited (CofixA F n) :=
⟨CofixA.default F n⟩
theorem cofixA_eq_zero : ∀ x y : CofixA F 0, x = y
| CofixA.continue, CofixA.continue => rfl
variable {F}
/-- The label of the root of the tree for a non-trivial
approximation of the cofix of a pfunctor.
-/
def head' : ∀ {n}, CofixA F (succ n) → F.A
| _, CofixA.intro i _ => i
/-- for a non-trivial approximation, return all the subtrees of the root -/
def children' : ∀ {n} (x : CofixA F (succ n)), F.B (head' x) → CofixA F n
| _, CofixA.intro _ f => f
theorem approx_eta {n : ℕ} (x : CofixA F (n + 1)) : x = CofixA.intro (head' x) (children' x) := by
cases x; rfl
/-- Relation between two approximations of the cofix of a pfunctor
that state they both contain the same data until one of them is truncated -/
inductive Agree : ∀ {n : ℕ}, CofixA F n → CofixA F (n + 1) → Prop
| continu (x : CofixA F 0) (y : CofixA F 1) : Agree x y
| intro {n} {a} (x : F.B a → CofixA F n) (x' : F.B a → CofixA F (n + 1)) :
(∀ i : F.B a, Agree (x i) (x' i)) → Agree (CofixA.intro a x) (CofixA.intro a x')
/-- Given an infinite series of approximations `approx`,
`AllAgree approx` states that they are all consistent with each other.
-/
def AllAgree (x : ∀ n, CofixA F n) :=
∀ n, Agree (x n) (x (succ n))
@[simp]
theorem agree_trivial {x : CofixA F 0} {y : CofixA F 1} : Agree x y := by constructor
@[deprecated (since := "2024-12-25")] alias agree_trival := agree_trivial
theorem agree_children {n : ℕ} (x : CofixA F (succ n)) (y : CofixA F (succ n + 1)) {i j}
(h₀ : HEq i j) (h₁ : Agree x y) : Agree (children' x i) (children' y j) := by
obtain - | ⟨_, _, hagree⟩ := h₁; cases h₀
apply hagree
/-- `truncate a` turns `a` into a more limited approximation -/
def truncate : ∀ {n : ℕ}, CofixA F (n + 1) → CofixA F n
| 0, CofixA.intro _ _ => CofixA.continue
| succ _, CofixA.intro i f => CofixA.intro i <| truncate ∘ f
theorem truncate_eq_of_agree {n : ℕ} (x : CofixA F n) (y : CofixA F (succ n)) (h : Agree x y) :
truncate y = x := by
induction n <;> cases x <;> cases y
· rfl
· -- cases' h with _ _ _ _ _ h₀ h₁
cases h
simp only [truncate, Function.comp_def, eq_self_iff_true, heq_iff_eq]
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/11041): used to be `ext y`
rename_i n_ih a f y h₁
suffices (fun x => truncate (y x)) = f
by simp [this]
funext y
apply n_ih
apply h₁
variable {X : Type w}
variable (f : X → F X)
/-- `sCorec f i n` creates an approximation of height `n`
of the final coalgebra of `f` -/
def sCorec : X → ∀ n, CofixA F n
| _, 0 => CofixA.continue
| j, succ _ => CofixA.intro (f j).1 fun i => sCorec ((f j).2 i) _
theorem P_corec (i : X) (n : ℕ) : Agree (sCorec f i n) (sCorec f i (succ n)) := by
induction' n with n n_ih generalizing i
constructor
obtain ⟨y, g⟩ := f i
constructor
introv
apply n_ih
/-- `Path F` provides indices to access internal nodes in `Corec F` -/
def Path (F : PFunctor.{u}) :=
List F.Idx
instance Path.inhabited : Inhabited (Path F) :=
⟨[]⟩
open List Nat
instance CofixA.instSubsingleton : Subsingleton (CofixA F 0) :=
⟨by rintro ⟨⟩ ⟨⟩; rfl⟩
theorem head_succ' (n m : ℕ) (x : ∀ n, CofixA F n) (Hconsistent : AllAgree x) :
head' (x (succ n)) = head' (x (succ m)) := by
suffices ∀ n, head' (x (succ n)) = head' (x 1) by simp [this]
clear m n
intro n
rcases h₀ : x (succ n) with - | ⟨_, f₀⟩
cases h₁ : x 1
dsimp only [head']
induction' n with n n_ih
· rw [h₁] at h₀
cases h₀
trivial
· have H := Hconsistent (succ n)
cases h₂ : x (succ n)
rw [h₀, h₂] at H
apply n_ih (truncate ∘ f₀)
rw [h₂]
obtain - | ⟨_, _, hagree⟩ := H
congr
funext j
dsimp only [comp_apply]
rw [truncate_eq_of_agree]
apply hagree
end Approx
open Approx
/-- Internal definition for `M`. It is needed to avoid name clashes
between `M.mk` and `M.casesOn` and the declarations generated for
the structure -/
structure MIntl where
/-- An `n`-th level approximation, for each depth `n` -/
approx : ∀ n, CofixA F n
/-- Each approximation agrees with the next -/
consistent : AllAgree approx
/-- For polynomial functor `F`, `M F` is its final coalgebra -/
def M :=
MIntl F
theorem M.default_consistent [Inhabited F.A] : ∀ n, Agree (default : CofixA F n) default
| 0 => Agree.continu _ _
| succ n => Agree.intro _ _ fun _ => M.default_consistent n
instance M.inhabited [Inhabited F.A] : Inhabited (M F) :=
⟨{ approx := default
consistent := M.default_consistent _ }⟩
instance MIntl.inhabited [Inhabited F.A] : Inhabited (MIntl F) :=
show Inhabited (M F) by infer_instance
namespace M
theorem ext' (x y : M F) (H : ∀ i : ℕ, x.approx i = y.approx i) : x = y := by
cases x
cases y
congr with n
apply H
variable {X : Type*}
variable (f : X → F X)
variable {F}
/-- Corecursor for the M-type defined by `F`. -/
protected def corec (i : X) : M F where
approx := sCorec f i
consistent := P_corec _ _
/-- given a tree generated by `F`, `head` gives us the first piece of data
it contains -/
def head (x : M F) :=
head' (x.1 1)
/-- return all the subtrees of the root of a tree `x : M F` -/
def children (x : M F) (i : F.B (head x)) : M F :=
let H := fun n : ℕ => @head_succ' _ n 0 x.1 x.2
{ approx := fun n => children' (x.1 _) (cast (congr_arg _ <| by simp only [head, H]) i)
consistent := by
intro n
have P' := x.2 (succ n)
apply agree_children _ _ _ P'
trans i
· apply cast_heq
symm
apply cast_heq }
/-- select a subtree using an `i : F.Idx` or return an arbitrary tree if
`i` designates no subtree of `x` -/
def ichildren [Inhabited (M F)] [DecidableEq F.A] (i : F.Idx) (x : M F) : M F :=
if H' : i.1 = head x then children x (cast (congr_arg _ <| by simp only [head, H']) i.2)
else default
theorem head_succ (n m : ℕ) (x : M F) : head' (x.approx (succ n)) = head' (x.approx (succ m)) :=
head_succ' n m _ x.consistent
theorem head_eq_head' : ∀ (x : M F) (n : ℕ), head x = head' (x.approx <| n + 1)
| ⟨_, h⟩, _ => head_succ' _ _ _ h
theorem head'_eq_head : ∀ (x : M F) (n : ℕ), head' (x.approx <| n + 1) = head x
| ⟨_, h⟩, _ => head_succ' _ _ _ h
theorem truncate_approx (x : M F) (n : ℕ) : truncate (x.approx <| n + 1) = x.approx n :=
truncate_eq_of_agree _ _ (x.consistent _)
/-- unfold an M-type -/
def dest : M F → F (M F)
| x => ⟨head x, fun i => children x i⟩
namespace Approx
/-- generates the approximations needed for `M.mk` -/
protected def sMk (x : F (M F)) : ∀ n, CofixA F n
| 0 => CofixA.continue
| succ n => CofixA.intro x.1 fun i => (x.2 i).approx n
protected theorem P_mk (x : F (M F)) : AllAgree (Approx.sMk x)
| 0 => by constructor
| succ n => by
constructor
introv
apply (x.2 i).consistent
end Approx
/-- constructor for M-types -/
protected def mk (x : F (M F)) : M F where
approx := Approx.sMk x
consistent := Approx.P_mk x
/-- `Agree' n` relates two trees of type `M F` that
are the same up to depth `n` -/
inductive Agree' : ℕ → M F → M F → Prop
| trivial (x y : M F) : Agree' 0 x y
| step {n : ℕ} {a} (x y : F.B a → M F) {x' y'} :
x' = M.mk ⟨a, x⟩ → y' = M.mk ⟨a, y⟩ → (∀ i, Agree' n (x i) (y i)) → Agree' (succ n) x' y'
@[simp]
theorem dest_mk (x : F (M F)) : dest (M.mk x) = x := rfl
@[simp]
theorem mk_dest (x : M F) : M.mk (dest x) = x := by
apply ext'
intro n
dsimp only [M.mk]
induction' n with n
· apply @Subsingleton.elim _ CofixA.instSubsingleton
dsimp only [Approx.sMk, dest, head]
rcases h : x.approx (succ n) with - | ⟨hd, ch⟩
have h' : hd = head' (x.approx 1) := by
rw [← head_succ' n, h, head']
apply x.consistent
revert ch
rw [h']
intros ch h
congr
ext a
dsimp only [children]
generalize hh : cast _ a = a''
rw [cast_eq_iff_heq] at hh
revert a''
rw [h]
intros _ hh
cases hh
rfl
theorem mk_inj {x y : F (M F)} (h : M.mk x = M.mk y) : x = y := by rw [← dest_mk x, h, dest_mk]
/-- destructor for M-types -/
protected def cases {r : M F → Sort w} (f : ∀ x : F (M F), r (M.mk x)) (x : M F) : r x :=
suffices r (M.mk (dest x)) by
rw [← mk_dest x]
exact this
f _
/-- destructor for M-types -/
protected def casesOn {r : M F → Sort w} (x : M F) (f : ∀ x : F (M F), r (M.mk x)) : r x :=
M.cases f x
/-- destructor for M-types, similar to `casesOn` but also
gives access directly to the root and subtrees on an M-type -/
protected def casesOn' {r : M F → Sort w} (x : M F) (f : ∀ a f, r (M.mk ⟨a, f⟩)) : r x :=
M.casesOn x (fun ⟨a, g⟩ => f a g)
theorem approx_mk (a : F.A) (f : F.B a → M F) (i : ℕ) :
(M.mk ⟨a, f⟩).approx (succ i) = CofixA.intro a fun j => (f j).approx i :=
rfl
@[simp]
theorem agree'_refl {n : ℕ} (x : M F) : Agree' n x x := by
induction' n with _ n_ih generalizing x <;>
induction x using PFunctor.M.casesOn' <;> constructor <;> try rfl
intros
apply n_ih
theorem agree_iff_agree' {n : ℕ} (x y : M F) :
Agree (x.approx n) (y.approx <| n + 1) ↔ Agree' n x y := by
constructor <;> intro h
· induction' n with _ n_ih generalizing x y
· constructor
· induction x using PFunctor.M.casesOn'
induction y using PFunctor.M.casesOn'
simp only [approx_mk] at h
obtain - | ⟨_, _, hagree⟩ := h
constructor <;> try rfl
intro i
apply n_ih
apply hagree
· induction' n with _ n_ih generalizing x y
· constructor
· obtain - | @⟨_, a, x', y'⟩ := h
induction' x using PFunctor.M.casesOn' with x_a x_f
induction' y using PFunctor.M.casesOn' with y_a y_f
simp only [approx_mk]
have h_a_1 := mk_inj ‹M.mk ⟨x_a, x_f⟩ = M.mk ⟨a, x'⟩›
cases h_a_1
replace h_a_2 := mk_inj ‹M.mk ⟨y_a, y_f⟩ = M.mk ⟨a, y'⟩›
cases h_a_2
constructor
intro i
apply n_ih
simp [*]
@[simp]
theorem cases_mk {r : M F → Sort*} (x : F (M F)) (f : ∀ x : F (M F), r (M.mk x)) :
PFunctor.M.cases f (M.mk x) = f x := by
dsimp only [M.mk, PFunctor.M.cases, dest, head, Approx.sMk, head']
cases x; dsimp only [Approx.sMk]
simp only [Eq.mpr]
apply congrFun
rfl
| Mathlib/Data/PFunctor/Univariate/M.lean | 363 | 363 | |
/-
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
-/
import Mathlib.Algebra.Group.Indicator
import Mathlib.Data.Int.Cast.Pi
import Mathlib.Data.Nat.Cast.Basic
import Mathlib.MeasureTheory.MeasurableSpace.Defs
/-!
# Measurable spaces and measurable functions
This file provides properties of measurable spaces and the functions and isomorphisms between them.
The definition of a measurable space is in `Mathlib/MeasureTheory/MeasurableSpace/Defs.lean`.
A measurable space is a set equipped with a σ-algebra, a collection of subsets closed under
complementation and countable union. A function between measurable spaces is measurable if
the preimage of each measurable subset is measurable.
σ-algebras on a fixed set `α` form a complete lattice. Here we order σ-algebras by writing `m₁ ≤ m₂`
if every set which is `m₁`-measurable is also `m₂`-measurable (that is, `m₁` is a subset of `m₂`).
In particular, any collection of subsets of `α` generates a smallest σ-algebra which contains
all of them. A function `f : α → β` induces a Galois connection between the lattices of σ-algebras
on `α` and `β`.
## Implementation notes
Measurability of a function `f : α → β` between measurable spaces is defined in terms of the
Galois connection induced by `f`.
## References
* <https://en.wikipedia.org/wiki/Measurable_space>
* <https://en.wikipedia.org/wiki/Sigma-algebra>
* <https://en.wikipedia.org/wiki/Dynkin_system>
## Tags
measurable space, σ-algebra, measurable function, dynkin system, π-λ theorem, π-system
-/
open Set MeasureTheory
universe uι
variable {α β γ : Type*} {ι : Sort uι} {s : Set α}
namespace MeasurableSpace
section Functors
variable {m m₁ m₂ : MeasurableSpace α} {m' : MeasurableSpace β} {f : α → β} {g : β → α}
/-- The forward image of a measurable space under a function. `map f m` contains the sets
`s : Set β` whose preimage under `f` is measurable. -/
protected def map (f : α → β) (m : MeasurableSpace α) : MeasurableSpace β where
MeasurableSet' s := MeasurableSet[m] <| f ⁻¹' s
measurableSet_empty := m.measurableSet_empty
measurableSet_compl _ hs := m.measurableSet_compl _ hs
measurableSet_iUnion f hf := by simpa only [preimage_iUnion] using m.measurableSet_iUnion _ hf
lemma map_def {s : Set β} : MeasurableSet[m.map f] s ↔ MeasurableSet[m] (f ⁻¹' s) := Iff.rfl
@[simp]
theorem map_id : m.map id = m :=
MeasurableSpace.ext fun _ => Iff.rfl
@[simp]
theorem map_comp {f : α → β} {g : β → γ} : (m.map f).map g = m.map (g ∘ f) :=
MeasurableSpace.ext fun _ => Iff.rfl
/-- The reverse image of a measurable space under a function. `comap f m` contains the sets
`s : Set α` such that `s` is the `f`-preimage of a measurable set in `β`. -/
protected def comap (f : α → β) (m : MeasurableSpace β) : MeasurableSpace α where
MeasurableSet' s := ∃ s', MeasurableSet[m] s' ∧ f ⁻¹' s' = s
measurableSet_empty := ⟨∅, m.measurableSet_empty, rfl⟩
measurableSet_compl := fun _ ⟨s', h₁, h₂⟩ => ⟨s'ᶜ, m.measurableSet_compl _ h₁, h₂ ▸ rfl⟩
measurableSet_iUnion s hs :=
let ⟨s', hs'⟩ := Classical.axiom_of_choice hs
⟨⋃ i, s' i, m.measurableSet_iUnion _ fun i => (hs' i).left, by simp [hs']⟩
lemma measurableSet_comap {m : MeasurableSpace β} :
MeasurableSet[m.comap f] s ↔ ∃ s', MeasurableSet[m] s' ∧ f ⁻¹' s' = s := .rfl
theorem comap_eq_generateFrom (m : MeasurableSpace β) (f : α → β) :
m.comap f = generateFrom { t | ∃ s, MeasurableSet s ∧ f ⁻¹' s = t } :=
(@generateFrom_measurableSet _ (.comap f m)).symm
@[simp]
theorem comap_id : m.comap id = m :=
MeasurableSpace.ext fun s => ⟨fun ⟨_, hs', h⟩ => h ▸ hs', fun h => ⟨s, h, rfl⟩⟩
@[simp]
theorem comap_comp {f : β → α} {g : γ → β} : (m.comap f).comap g = m.comap (f ∘ g) :=
MeasurableSpace.ext fun _ =>
⟨fun ⟨_, ⟨u, h, hu⟩, ht⟩ => ⟨u, h, ht ▸ hu ▸ rfl⟩, fun ⟨t, h, ht⟩ => ⟨f ⁻¹' t, ⟨_, h, rfl⟩, ht⟩⟩
theorem comap_le_iff_le_map {f : α → β} : m'.comap f ≤ m ↔ m' ≤ m.map f :=
⟨fun h _s hs => h _ ⟨_, hs, rfl⟩, fun h _s ⟨_t, ht, heq⟩ => heq ▸ h _ ht⟩
theorem gc_comap_map (f : α → β) :
GaloisConnection (MeasurableSpace.comap f) (MeasurableSpace.map f) := fun _ _ =>
comap_le_iff_le_map
theorem map_mono (h : m₁ ≤ m₂) : m₁.map f ≤ m₂.map f :=
(gc_comap_map f).monotone_u h
theorem monotone_map : Monotone (MeasurableSpace.map f) := fun _ _ => map_mono
theorem comap_mono (h : m₁ ≤ m₂) : m₁.comap g ≤ m₂.comap g :=
(gc_comap_map g).monotone_l h
theorem monotone_comap : Monotone (MeasurableSpace.comap g) := fun _ _ h => comap_mono h
@[simp]
theorem comap_bot : (⊥ : MeasurableSpace α).comap g = ⊥ :=
(gc_comap_map g).l_bot
@[simp]
theorem comap_sup : (m₁ ⊔ m₂).comap g = m₁.comap g ⊔ m₂.comap g :=
(gc_comap_map g).l_sup
@[simp]
theorem comap_iSup {m : ι → MeasurableSpace α} : (⨆ i, m i).comap g = ⨆ i, (m i).comap g :=
(gc_comap_map g).l_iSup
@[simp]
theorem map_top : (⊤ : MeasurableSpace α).map f = ⊤ :=
(gc_comap_map f).u_top
@[simp]
theorem map_inf : (m₁ ⊓ m₂).map f = m₁.map f ⊓ m₂.map f :=
(gc_comap_map f).u_inf
@[simp]
theorem map_iInf {m : ι → MeasurableSpace α} : (⨅ i, m i).map f = ⨅ i, (m i).map f :=
(gc_comap_map f).u_iInf
theorem comap_map_le : (m.map f).comap f ≤ m :=
(gc_comap_map f).l_u_le _
theorem le_map_comap : m ≤ (m.comap g).map g :=
(gc_comap_map g).le_u_l _
end Functors
@[simp] theorem map_const {m} (b : β) : MeasurableSpace.map (fun _a : α ↦ b) m = ⊤ :=
eq_top_iff.2 <| fun s _ ↦ by rw [map_def]; by_cases h : b ∈ s <;> simp [h]
@[simp] theorem comap_const {m} (b : β) : MeasurableSpace.comap (fun _a : α => b) m = ⊥ :=
eq_bot_iff.2 <| by rintro _ ⟨s, -, rfl⟩; by_cases b ∈ s <;> simp [*]
theorem comap_generateFrom {f : α → β} {s : Set (Set β)} :
(generateFrom s).comap f = generateFrom (preimage f '' s) :=
le_antisymm
(comap_le_iff_le_map.2 <|
generateFrom_le fun _t hts => GenerateMeasurable.basic _ <| mem_image_of_mem _ <| hts)
(generateFrom_le fun _t ⟨u, hu, Eq⟩ => Eq ▸ ⟨u, GenerateMeasurable.basic _ hu, rfl⟩)
end MeasurableSpace
section MeasurableFunctions
open MeasurableSpace
theorem measurable_iff_le_map {m₁ : MeasurableSpace α} {m₂ : MeasurableSpace β} {f : α → β} :
Measurable f ↔ m₂ ≤ m₁.map f :=
Iff.rfl
alias ⟨Measurable.le_map, Measurable.of_le_map⟩ := measurable_iff_le_map
theorem measurable_iff_comap_le {m₁ : MeasurableSpace α} {m₂ : MeasurableSpace β} {f : α → β} :
Measurable f ↔ m₂.comap f ≤ m₁ :=
comap_le_iff_le_map.symm
alias ⟨Measurable.comap_le, Measurable.of_comap_le⟩ := measurable_iff_comap_le
theorem comap_measurable {m : MeasurableSpace β} (f : α → β) : Measurable[m.comap f] f :=
fun s hs => ⟨s, hs, rfl⟩
theorem Measurable.mono {ma ma' : MeasurableSpace α} {mb mb' : MeasurableSpace β} {f : α → β}
(hf : @Measurable α β ma mb f) (ha : ma ≤ ma') (hb : mb' ≤ mb) : @Measurable α β ma' mb' f :=
fun _t ht => ha _ <| hf <| hb _ ht
lemma Measurable.iSup' {mα : ι → MeasurableSpace α} {_ : MeasurableSpace β} {f : α → β} (i₀ : ι)
(h : Measurable[mα i₀] f) :
Measurable[⨆ i, mα i] f :=
h.mono (le_iSup mα i₀) le_rfl
lemma Measurable.sup_of_left {mα mα' : MeasurableSpace α} {_ : MeasurableSpace β} {f : α → β}
(h : Measurable[mα] f) :
Measurable[mα ⊔ mα'] f :=
h.mono le_sup_left le_rfl
lemma Measurable.sup_of_right {mα mα' : MeasurableSpace α} {_ : MeasurableSpace β} {f : α → β}
(h : Measurable[mα'] f) :
Measurable[mα ⊔ mα'] f :=
h.mono le_sup_right le_rfl
theorem measurable_id'' {m mα : MeasurableSpace α} (hm : m ≤ mα) : @Measurable α α mα m id :=
measurable_id.mono le_rfl hm
@[measurability]
theorem measurable_from_top [MeasurableSpace β] {f : α → β} : Measurable[⊤] f := fun _ _ => trivial
theorem measurable_generateFrom [MeasurableSpace α] {s : Set (Set β)} {f : α → β}
(h : ∀ t ∈ s, MeasurableSet (f ⁻¹' t)) : @Measurable _ _ _ (generateFrom s) f :=
Measurable.of_le_map <| generateFrom_le h
variable {f g : α → β}
section TypeclassMeasurableSpace
variable [MeasurableSpace α] [MeasurableSpace β]
@[nontriviality, measurability]
theorem Subsingleton.measurable [Subsingleton α] : Measurable f := fun _ _ =>
@Subsingleton.measurableSet α _ _ _
@[nontriviality, measurability]
theorem measurable_of_subsingleton_codomain [Subsingleton β] (f : α → β) : Measurable f :=
fun s _ => Subsingleton.set_cases MeasurableSet.empty MeasurableSet.univ s
@[to_additive (attr := measurability, fun_prop)]
theorem measurable_one [One α] : Measurable (1 : β → α) :=
@measurable_const _ _ _ _ 1
theorem measurable_of_empty [IsEmpty α] (f : α → β) : Measurable f :=
Subsingleton.measurable
theorem measurable_of_empty_codomain [IsEmpty β] (f : α → β) : Measurable f :=
measurable_of_subsingleton_codomain f
/-- A version of `measurable_const` that assumes `f x = f y` for all `x, y`. This version works
for functions between empty types. -/
theorem measurable_const' {f : β → α} (hf : ∀ x y, f x = f y) : Measurable f := by
nontriviality β
inhabit β
convert @measurable_const α β _ _ (f default) using 2
apply hf
@[measurability]
theorem measurable_natCast [NatCast α] (n : ℕ) : Measurable (n : β → α) :=
@measurable_const α _ _ _ n
@[measurability]
theorem measurable_intCast [IntCast α] (n : ℤ) : Measurable (n : β → α) :=
@measurable_const α _ _ _ n
theorem measurable_of_countable [Countable α] [MeasurableSingletonClass α] (f : α → β) :
Measurable f := fun s _ =>
(f ⁻¹' s).to_countable.measurableSet
theorem measurable_of_finite [Finite α] [MeasurableSingletonClass α] (f : α → β) : Measurable f :=
measurable_of_countable f
end TypeclassMeasurableSpace
variable {m : MeasurableSpace α}
@[measurability]
theorem Measurable.iterate {f : α → α} (hf : Measurable f) : ∀ n, Measurable f^[n]
| 0 => measurable_id
| n + 1 => (Measurable.iterate hf n).comp hf
variable {mβ : MeasurableSpace β}
@[measurability]
theorem measurableSet_preimage {t : Set β} (hf : Measurable f) (ht : MeasurableSet t) :
MeasurableSet (f ⁻¹' t) :=
hf ht
protected theorem MeasurableSet.preimage {t : Set β} (ht : MeasurableSet t) (hf : Measurable f) :
MeasurableSet (f ⁻¹' t) :=
hf ht
@[measurability, fun_prop]
protected theorem Measurable.piecewise {_ : DecidablePred (· ∈ s)} (hs : MeasurableSet s)
(hf : Measurable f) (hg : Measurable g) : Measurable (piecewise s f g) := by
intro t ht
rw [piecewise_preimage]
exact hs.ite (hf ht) (hg ht)
/-- This is slightly different from `Measurable.piecewise`. It can be used to show
`Measurable (ite (x=0) 0 1)` by
`exact Measurable.ite (measurableSet_singleton 0) measurable_const measurable_const`,
but replacing `Measurable.ite` by `Measurable.piecewise` in that example proof does not work. -/
theorem Measurable.ite {p : α → Prop} {_ : DecidablePred p} (hp : MeasurableSet { a : α | p a })
(hf : Measurable f) (hg : Measurable g) : Measurable fun x => ite (p x) (f x) (g x) :=
Measurable.piecewise hp hf hg
@[measurability, fun_prop]
theorem Measurable.indicator [Zero β] (hf : Measurable f) (hs : MeasurableSet s) :
Measurable (s.indicator f) :=
hf.piecewise hs measurable_const
/-- The measurability of a set `A` is equivalent to the measurability of the indicator function
which takes a constant value `b ≠ 0` on a set `A` and `0` elsewhere. -/
lemma measurable_indicator_const_iff [Zero β] [MeasurableSingletonClass β] (b : β) [NeZero b] :
Measurable (s.indicator (fun (_ : α) ↦ b)) ↔ MeasurableSet s := by
constructor <;> intro h
· convert h (MeasurableSet.singleton (0 : β)).compl
ext a
simp [NeZero.ne b]
· exact measurable_const.indicator h
@[to_additive (attr := measurability)]
theorem measurableSet_mulSupport [One β] [MeasurableSingletonClass β] (hf : Measurable f) :
MeasurableSet (Function.mulSupport f) :=
hf (measurableSet_singleton 1).compl
/-- If a function coincides with a measurable function outside of a countable set, it is
measurable. -/
theorem Measurable.measurable_of_countable_ne [MeasurableSingletonClass α] (hf : Measurable f)
(h : Set.Countable { x | f x ≠ g x }) : Measurable g := by
intro t ht
have : g ⁻¹' t = g ⁻¹' t ∩ { x | f x = g x }ᶜ ∪ g ⁻¹' t ∩ { x | f x = g x } := by
simp [← inter_union_distrib_left]
rw [this]
refine (h.mono inter_subset_right).measurableSet.union ?_
have : g ⁻¹' t ∩ { x : α | f x = g x } = f ⁻¹' t ∩ { x : α | f x = g x } := by
ext x
simp +contextual
rw [this]
exact (hf ht).inter h.measurableSet.of_compl
end MeasurableFunctions
/-- We say that a collection of sets is countably spanning if a countable subset spans the
whole type. This is a useful condition in various parts of measure theory. For example, it is
a needed condition to show that the product of two collections generate the product sigma algebra,
see `generateFrom_prod_eq`. -/
def IsCountablySpanning (C : Set (Set α)) : Prop :=
∃ s : ℕ → Set α, (∀ n, s n ∈ C) ∧ ⋃ n, s n = univ
theorem isCountablySpanning_measurableSet [MeasurableSpace α] :
IsCountablySpanning { s : Set α | MeasurableSet s } :=
⟨fun _ => univ, fun _ => MeasurableSet.univ, iUnion_const _⟩
/-- Rectangles of countably spanning sets are countably spanning. -/
lemma IsCountablySpanning.prod {C : Set (Set α)} {D : Set (Set β)} (hC : IsCountablySpanning C)
(hD : IsCountablySpanning D) : IsCountablySpanning (image2 (· ×ˢ ·) C D) := by
rcases hC, hD with ⟨⟨s, h1s, h2s⟩, t, h1t, h2t⟩
refine ⟨fun n => s n.unpair.1 ×ˢ t n.unpair.2, fun n => mem_image2_of_mem (h1s _) (h1t _), ?_⟩
rw [iUnion_unpair_prod, h2s, h2t, univ_prod_univ]
| Mathlib/MeasureTheory/MeasurableSpace/Basic.lean | 907 | 909 | |
/-
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.Data.ENNReal.Real
import Mathlib.Tactic.Bound.Attribute
import Mathlib.Topology.Bornology.Basic
import Mathlib.Topology.EMetricSpace.Defs
import Mathlib.Topology.UniformSpace.Basic
/-!
## Pseudo-metric spaces
This file defines pseudo-metric spaces: these differ from metric spaces by not imposing the
condition `dist x y = 0 → x = y`.
Many definitions and theorems expected on (pseudo-)metric spaces are already introduced on uniform
spaces and topological spaces. For example: open and closed sets, compactness, completeness,
continuity and uniform continuity.
## Main definitions
* `Dist α`: Endows a space `α` with a function `dist a b`.
* `PseudoMetricSpace α`: A space endowed with a distance function, which can
be zero even if the two elements are non-equal.
* `Metric.ball x ε`: The set of all points `y` with `dist y x < ε`.
* `Metric.Bounded s`: Whether a subset of a `PseudoMetricSpace` is bounded.
* `MetricSpace α`: A `PseudoMetricSpace` with the guarantee `dist x y = 0 → x = y`.
Additional useful definitions:
* `nndist a b`: `dist` as a function to the non-negative reals.
* `Metric.closedBall x ε`: The set of all points `y` with `dist y x ≤ ε`.
* `Metric.sphere x ε`: The set of all points `y` with `dist y x = ε`.
TODO (anyone): Add "Main results" section.
## Tags
pseudo_metric, dist
-/
assert_not_exists compactSpace_uniformity
open Set Filter TopologicalSpace Bornology
open scoped ENNReal NNReal Uniformity Topology
universe u v w
variable {α : Type u} {β : Type v} {X ι : Type*}
theorem UniformSpace.ofDist_aux (ε : ℝ) (hε : 0 < ε) : ∃ δ > (0 : ℝ), ∀ x < δ, ∀ y < δ, x + y < ε :=
⟨ε / 2, half_pos hε, fun _x hx _y hy => add_halves ε ▸ add_lt_add hx hy⟩
/-- Construct a uniform structure from a distance function and metric space axioms -/
def UniformSpace.ofDist (dist : α → α → ℝ) (dist_self : ∀ x : α, dist x x = 0)
(dist_comm : ∀ x y : α, dist x y = dist y x)
(dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z) : UniformSpace α :=
.ofFun dist dist_self dist_comm dist_triangle ofDist_aux
/-- Construct a bornology from a distance function and metric space axioms. -/
abbrev Bornology.ofDist {α : Type*} (dist : α → α → ℝ) (dist_comm : ∀ x y, dist x y = dist y x)
(dist_triangle : ∀ x y z, dist x z ≤ dist x y + dist y z) : Bornology α :=
Bornology.ofBounded { s : Set α | ∃ C, ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → dist x y ≤ C }
⟨0, fun _ hx _ => hx.elim⟩ (fun _ ⟨c, hc⟩ _ h => ⟨c, fun _ hx _ hy => hc (h hx) (h hy)⟩)
(fun s hs t ht => by
rcases s.eq_empty_or_nonempty with rfl | ⟨x, hx⟩
· rwa [empty_union]
rcases t.eq_empty_or_nonempty with rfl | ⟨y, hy⟩
· rwa [union_empty]
rsuffices ⟨C, hC⟩ : ∃ C, ∀ z ∈ s ∪ t, dist x z ≤ C
· refine ⟨C + C, fun a ha b hb => (dist_triangle a x b).trans ?_⟩
simpa only [dist_comm] using add_le_add (hC _ ha) (hC _ hb)
rcases hs with ⟨Cs, hs⟩; rcases ht with ⟨Ct, ht⟩
refine ⟨max Cs (dist x y + Ct), fun z hz => hz.elim
(fun hz => (hs hx hz).trans (le_max_left _ _))
(fun hz => (dist_triangle x y z).trans <|
(add_le_add le_rfl (ht hy hz)).trans (le_max_right _ _))⟩)
fun z => ⟨dist z z, forall_eq.2 <| forall_eq.2 le_rfl⟩
/-- The distance function (given an ambient metric space on `α`), which returns
a nonnegative real number `dist x y` given `x y : α`. -/
@[ext]
class Dist (α : Type*) where
/-- Distance between two points -/
dist : α → α → ℝ
export Dist (dist)
-- the uniform structure and the emetric space structure are embedded in the metric space structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
/-- This is an internal lemma used inside the default of `PseudoMetricSpace.edist`. -/
private theorem dist_nonneg' {α} {x y : α} (dist : α → α → ℝ)
(dist_self : ∀ x : α, dist x x = 0) (dist_comm : ∀ x y : α, dist x y = dist y x)
(dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z) : 0 ≤ dist x y :=
have : 0 ≤ 2 * dist x y :=
calc 0 = dist x x := (dist_self _).symm
_ ≤ dist x y + dist y x := dist_triangle _ _ _
_ = 2 * dist x y := by rw [two_mul, dist_comm]
nonneg_of_mul_nonneg_right this two_pos
/-- A pseudometric space is a type endowed with a `ℝ`-valued distance `dist` satisfying
reflexivity `dist x x = 0`, commutativity `dist x y = dist y x`, and the triangle inequality
`dist x z ≤ dist x y + dist y z`.
Note that we do not require `dist x y = 0 → x = y`. See metric spaces (`MetricSpace`) for the
similar class with that stronger assumption.
Any pseudometric space is a topological space and a uniform space (see `TopologicalSpace`,
`UniformSpace`), where the topology and uniformity come from the metric.
Note that a T1 pseudometric space is just a metric space.
We make the uniformity/topology part of the data instead of deriving it from the metric. This eg
ensures that we do not get a diamond when doing
`[PseudoMetricSpace α] [PseudoMetricSpace β] : TopologicalSpace (α × β)`:
The product metric and product topology agree, but not definitionally so.
See Note [forgetful inheritance]. -/
class PseudoMetricSpace (α : Type u) : Type u extends Dist α where
dist_self : ∀ x : α, dist x x = 0
dist_comm : ∀ x y : α, dist x y = dist y x
dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z
/-- Extended distance between two points -/
edist : α → α → ℝ≥0∞ := fun x y => ENNReal.ofNNReal ⟨dist x y, dist_nonneg' _ ‹_› ‹_› ‹_›⟩
edist_dist : ∀ x y : α, edist x y = ENNReal.ofReal (dist x y) := by
intros x y; exact ENNReal.coe_nnreal_eq _
toUniformSpace : UniformSpace α := .ofDist dist dist_self dist_comm dist_triangle
uniformity_dist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | dist p.1 p.2 < ε } := by intros; rfl
toBornology : Bornology α := Bornology.ofDist dist dist_comm dist_triangle
cobounded_sets : (Bornology.cobounded α).sets =
{ s | ∃ C : ℝ, ∀ x ∈ sᶜ, ∀ y ∈ sᶜ, dist x y ≤ C } := by intros; rfl
/-- Two pseudo metric space structures with the same distance function coincide. -/
@[ext]
theorem PseudoMetricSpace.ext {α : Type*} {m m' : PseudoMetricSpace α}
(h : m.toDist = m'.toDist) : m = m' := by
let d := m.toDist
obtain ⟨_, _, _, _, hed, _, hU, _, hB⟩ := m
let d' := m'.toDist
obtain ⟨_, _, _, _, hed', _, hU', _, hB'⟩ := m'
obtain rfl : d = d' := h
congr
· ext x y : 2
rw [hed, hed']
· exact UniformSpace.ext (hU.trans hU'.symm)
· ext : 2
rw [← Filter.mem_sets, ← Filter.mem_sets, hB, hB']
variable [PseudoMetricSpace α]
attribute [instance] PseudoMetricSpace.toUniformSpace PseudoMetricSpace.toBornology
-- see Note [lower instance priority]
instance (priority := 200) PseudoMetricSpace.toEDist : EDist α :=
⟨PseudoMetricSpace.edist⟩
/-- Construct a pseudo-metric space structure whose underlying topological space structure
(definitionally) agrees which a pre-existing topology which is compatible with a given distance
function. -/
def PseudoMetricSpace.ofDistTopology {α : Type u} [TopologicalSpace α] (dist : α → α → ℝ)
(dist_self : ∀ x : α, dist x x = 0) (dist_comm : ∀ x y : α, dist x y = dist y x)
(dist_triangle : ∀ x y z : α, dist x z ≤ dist x y + dist y z)
(H : ∀ s : Set α, IsOpen s ↔ ∀ x ∈ s, ∃ ε > 0, ∀ y, dist x y < ε → y ∈ s) :
PseudoMetricSpace α :=
{ dist := dist
dist_self := dist_self
dist_comm := dist_comm
dist_triangle := dist_triangle
toUniformSpace :=
(UniformSpace.ofDist dist dist_self dist_comm dist_triangle).replaceTopology <|
TopologicalSpace.ext_iff.2 fun s ↦ (H s).trans <| forall₂_congr fun x _ ↦
((UniformSpace.hasBasis_ofFun (exists_gt (0 : ℝ)) dist dist_self dist_comm dist_triangle
UniformSpace.ofDist_aux).comap (Prod.mk x)).mem_iff.symm
uniformity_dist := rfl
toBornology := Bornology.ofDist dist dist_comm dist_triangle
cobounded_sets := rfl }
@[simp]
theorem dist_self (x : α) : dist x x = 0 :=
PseudoMetricSpace.dist_self x
theorem dist_comm (x y : α) : dist x y = dist y x :=
PseudoMetricSpace.dist_comm x y
theorem edist_dist (x y : α) : edist x y = ENNReal.ofReal (dist x y) :=
PseudoMetricSpace.edist_dist x y
@[bound]
theorem dist_triangle (x y z : α) : dist x z ≤ dist x y + dist y z :=
PseudoMetricSpace.dist_triangle x y z
theorem dist_triangle_left (x y z : α) : dist x y ≤ dist z x + dist z y := by
rw [dist_comm z]; apply dist_triangle
theorem dist_triangle_right (x y z : α) : dist x y ≤ dist x z + dist y z := by
rw [dist_comm y]; apply dist_triangle
theorem dist_triangle4 (x y z w : α) : dist x w ≤ dist x y + dist y z + dist z w :=
calc
dist x w ≤ dist x z + dist z w := dist_triangle x z w
_ ≤ dist x y + dist y z + dist z w := add_le_add_right (dist_triangle x y z) _
theorem dist_triangle4_left (x₁ y₁ x₂ y₂ : α) :
dist x₂ y₂ ≤ dist x₁ y₁ + (dist x₁ x₂ + dist y₁ y₂) := by
rw [add_left_comm, dist_comm x₁, ← add_assoc]
apply dist_triangle4
theorem dist_triangle4_right (x₁ y₁ x₂ y₂ : α) :
dist x₁ y₁ ≤ dist x₁ x₂ + dist y₁ y₂ + dist x₂ y₂ := by
rw [add_right_comm, dist_comm y₁]
apply dist_triangle4
theorem dist_triangle8 (a b c d e f g h : α) : dist a h ≤ dist a b + dist b c + dist c d
+ dist d e + dist e f + dist f g + dist g h := by
apply le_trans (dist_triangle4 a f g h)
apply add_le_add_right (add_le_add_right _ (dist f g)) (dist g h)
apply le_trans (dist_triangle4 a d e f)
apply add_le_add_right (add_le_add_right _ (dist d e)) (dist e f)
exact dist_triangle4 a b c d
theorem swap_dist : Function.swap (@dist α _) = dist := by funext x y; exact dist_comm _ _
theorem abs_dist_sub_le (x y z : α) : |dist x z - dist y z| ≤ dist x y :=
abs_sub_le_iff.2
⟨sub_le_iff_le_add.2 (dist_triangle _ _ _), sub_le_iff_le_add.2 (dist_triangle_left _ _ _)⟩
@[bound]
theorem dist_nonneg {x y : α} : 0 ≤ dist x y :=
dist_nonneg' dist dist_self dist_comm dist_triangle
namespace Mathlib.Meta.Positivity
open Lean Meta Qq Function
/-- Extension for the `positivity` tactic: distances are nonnegative. -/
@[positivity Dist.dist _ _]
def evalDist : PositivityExt where eval {u α} _zα _pα e := do
match u, α, e with
| 0, ~q(ℝ), ~q(@Dist.dist $β $inst $a $b) =>
let _inst ← synthInstanceQ q(PseudoMetricSpace $β)
assertInstancesCommute
pure (.nonnegative q(dist_nonneg))
| _, _, _ => throwError "not dist"
end Mathlib.Meta.Positivity
example {x y : α} : 0 ≤ dist x y := by positivity
@[simp] theorem abs_dist {a b : α} : |dist a b| = dist a b := abs_of_nonneg dist_nonneg
/-- A version of `Dist` that takes value in `ℝ≥0`. -/
class NNDist (α : Type*) where
/-- Nonnegative distance between two points -/
nndist : α → α → ℝ≥0
export NNDist (nndist)
-- see Note [lower instance priority]
/-- Distance as a nonnegative real number. -/
instance (priority := 100) PseudoMetricSpace.toNNDist : NNDist α :=
⟨fun a b => ⟨dist a b, dist_nonneg⟩⟩
/-- Express `dist` in terms of `nndist` -/
theorem dist_nndist (x y : α) : dist x y = nndist x y := rfl
@[simp, norm_cast]
theorem coe_nndist (x y : α) : ↑(nndist x y) = dist x y := rfl
/-- Express `edist` in terms of `nndist` -/
theorem edist_nndist (x y : α) : edist x y = nndist x y := by
rw [edist_dist, dist_nndist, ENNReal.ofReal_coe_nnreal]
/-- Express `nndist` in terms of `edist` -/
theorem nndist_edist (x y : α) : nndist x y = (edist x y).toNNReal := by
simp [edist_nndist]
@[simp, norm_cast]
theorem coe_nnreal_ennreal_nndist (x y : α) : ↑(nndist x y) = edist x y :=
(edist_nndist x y).symm
@[simp, norm_cast]
theorem edist_lt_coe {x y : α} {c : ℝ≥0} : edist x y < c ↔ nndist x y < c := by
rw [edist_nndist, ENNReal.coe_lt_coe]
@[simp, norm_cast]
theorem edist_le_coe {x y : α} {c : ℝ≥0} : edist x y ≤ c ↔ nndist x y ≤ c := by
rw [edist_nndist, ENNReal.coe_le_coe]
/-- In a pseudometric space, the extended distance is always finite -/
theorem edist_lt_top {α : Type*} [PseudoMetricSpace α] (x y : α) : edist x y < ⊤ :=
(edist_dist x y).symm ▸ ENNReal.ofReal_lt_top
/-- In a pseudometric space, the extended distance is always finite -/
theorem edist_ne_top (x y : α) : edist x y ≠ ⊤ :=
(edist_lt_top x y).ne
/-- `nndist x x` vanishes -/
@[simp] theorem nndist_self (a : α) : nndist a a = 0 := NNReal.coe_eq_zero.1 (dist_self a)
@[simp, norm_cast]
theorem dist_lt_coe {x y : α} {c : ℝ≥0} : dist x y < c ↔ nndist x y < c :=
Iff.rfl
@[simp, norm_cast]
theorem dist_le_coe {x y : α} {c : ℝ≥0} : dist x y ≤ c ↔ nndist x y ≤ c :=
Iff.rfl
@[simp]
theorem edist_lt_ofReal {x y : α} {r : ℝ} : edist x y < ENNReal.ofReal r ↔ dist x y < r := by
rw [edist_dist, ENNReal.ofReal_lt_ofReal_iff_of_nonneg dist_nonneg]
@[simp]
theorem edist_le_ofReal {x y : α} {r : ℝ} (hr : 0 ≤ r) :
edist x y ≤ ENNReal.ofReal r ↔ dist x y ≤ r := by
rw [edist_dist, ENNReal.ofReal_le_ofReal_iff hr]
/-- Express `nndist` in terms of `dist` -/
theorem nndist_dist (x y : α) : nndist x y = Real.toNNReal (dist x y) := by
rw [dist_nndist, Real.toNNReal_coe]
theorem nndist_comm (x y : α) : nndist x y = nndist y x := NNReal.eq <| dist_comm x y
/-- Triangle inequality for the nonnegative distance -/
theorem nndist_triangle (x y z : α) : nndist x z ≤ nndist x y + nndist y z :=
dist_triangle _ _ _
theorem nndist_triangle_left (x y z : α) : nndist x y ≤ nndist z x + nndist z y :=
dist_triangle_left _ _ _
theorem nndist_triangle_right (x y z : α) : nndist x y ≤ nndist x z + nndist y z :=
dist_triangle_right _ _ _
/-- Express `dist` in terms of `edist` -/
theorem dist_edist (x y : α) : dist x y = (edist x y).toReal := by
rw [edist_dist, ENNReal.toReal_ofReal dist_nonneg]
namespace Metric
-- instantiate pseudometric space as a topology
variable {x y z : α} {δ ε ε₁ ε₂ : ℝ} {s : Set α}
/-- `ball x ε` is the set of all points `y` with `dist y x < ε` -/
def ball (x : α) (ε : ℝ) : Set α :=
{ y | dist y x < ε }
@[simp]
theorem mem_ball : y ∈ ball x ε ↔ dist y x < ε :=
Iff.rfl
theorem mem_ball' : y ∈ ball x ε ↔ dist x y < ε := by rw [dist_comm, mem_ball]
theorem pos_of_mem_ball (hy : y ∈ ball x ε) : 0 < ε :=
dist_nonneg.trans_lt hy
theorem mem_ball_self (h : 0 < ε) : x ∈ ball x ε := by
rwa [mem_ball, dist_self]
@[simp]
theorem nonempty_ball : (ball x ε).Nonempty ↔ 0 < ε :=
⟨fun ⟨_x, hx⟩ => pos_of_mem_ball hx, fun h => ⟨x, mem_ball_self h⟩⟩
@[simp]
theorem ball_eq_empty : ball x ε = ∅ ↔ ε ≤ 0 := by
rw [← not_nonempty_iff_eq_empty, nonempty_ball, not_lt]
@[simp]
theorem ball_zero : ball x 0 = ∅ := by rw [ball_eq_empty]
/-- If a point belongs to an open ball, then there is a strictly smaller radius whose ball also
contains it.
See also `exists_lt_subset_ball`. -/
theorem exists_lt_mem_ball_of_mem_ball (h : x ∈ ball y ε) : ∃ ε' < ε, x ∈ ball y ε' := by
simp only [mem_ball] at h ⊢
exact ⟨(dist x y + ε) / 2, by linarith, by linarith⟩
theorem ball_eq_ball (ε : ℝ) (x : α) :
UniformSpace.ball x { p | dist p.2 p.1 < ε } = Metric.ball x ε :=
rfl
theorem ball_eq_ball' (ε : ℝ) (x : α) :
UniformSpace.ball x { p | dist p.1 p.2 < ε } = Metric.ball x ε := by
ext
simp [dist_comm, UniformSpace.ball]
@[simp]
theorem iUnion_ball_nat (x : α) : ⋃ n : ℕ, ball x n = univ :=
iUnion_eq_univ_iff.2 fun y => exists_nat_gt (dist y x)
@[simp]
theorem iUnion_ball_nat_succ (x : α) : ⋃ n : ℕ, ball x (n + 1) = univ :=
iUnion_eq_univ_iff.2 fun y => (exists_nat_gt (dist y x)).imp fun _ h => h.trans (lt_add_one _)
/-- `closedBall x ε` is the set of all points `y` with `dist y x ≤ ε` -/
def closedBall (x : α) (ε : ℝ) :=
{ y | dist y x ≤ ε }
@[simp] theorem mem_closedBall : y ∈ closedBall x ε ↔ dist y x ≤ ε := Iff.rfl
theorem mem_closedBall' : y ∈ closedBall x ε ↔ dist x y ≤ ε := by rw [dist_comm, mem_closedBall]
/-- `sphere x ε` is the set of all points `y` with `dist y x = ε` -/
def sphere (x : α) (ε : ℝ) := { y | dist y x = ε }
@[simp] theorem mem_sphere : y ∈ sphere x ε ↔ dist y x = ε := Iff.rfl
theorem mem_sphere' : y ∈ sphere x ε ↔ dist x y = ε := by rw [dist_comm, mem_sphere]
theorem ne_of_mem_sphere (h : y ∈ sphere x ε) (hε : ε ≠ 0) : y ≠ x :=
ne_of_mem_of_not_mem h <| by simpa using hε.symm
theorem nonneg_of_mem_sphere (hy : y ∈ sphere x ε) : 0 ≤ ε :=
dist_nonneg.trans_eq hy
@[simp]
theorem sphere_eq_empty_of_neg (hε : ε < 0) : sphere x ε = ∅ :=
Set.eq_empty_iff_forall_not_mem.mpr fun _y hy => (nonneg_of_mem_sphere hy).not_lt hε
theorem sphere_eq_empty_of_subsingleton [Subsingleton α] (hε : ε ≠ 0) : sphere x ε = ∅ :=
Set.eq_empty_iff_forall_not_mem.mpr fun _ h => ne_of_mem_sphere h hε (Subsingleton.elim _ _)
instance sphere_isEmpty_of_subsingleton [Subsingleton α] [NeZero ε] : IsEmpty (sphere x ε) := by
rw [sphere_eq_empty_of_subsingleton (NeZero.ne ε)]; infer_instance
theorem closedBall_eq_singleton_of_subsingleton [Subsingleton α] (h : 0 ≤ ε) :
closedBall x ε = {x} := by
ext x'
simpa [Subsingleton.allEq x x']
theorem ball_eq_singleton_of_subsingleton [Subsingleton α] (h : 0 < ε) : ball x ε = {x} := by
ext x'
simpa [Subsingleton.allEq x x']
theorem mem_closedBall_self (h : 0 ≤ ε) : x ∈ closedBall x ε := by
rwa [mem_closedBall, dist_self]
@[simp]
theorem nonempty_closedBall : (closedBall x ε).Nonempty ↔ 0 ≤ ε :=
⟨fun ⟨_x, hx⟩ => dist_nonneg.trans hx, fun h => ⟨x, mem_closedBall_self h⟩⟩
@[simp]
theorem closedBall_eq_empty : closedBall x ε = ∅ ↔ ε < 0 := by
rw [← not_nonempty_iff_eq_empty, nonempty_closedBall, not_le]
/-- Closed balls and spheres coincide when the radius is non-positive -/
theorem closedBall_eq_sphere_of_nonpos (hε : ε ≤ 0) : closedBall x ε = sphere x ε :=
Set.ext fun _ => (hε.trans dist_nonneg).le_iff_eq
theorem ball_subset_closedBall : ball x ε ⊆ closedBall x ε := fun _y hy =>
mem_closedBall.2 (le_of_lt hy)
theorem sphere_subset_closedBall : sphere x ε ⊆ closedBall x ε := fun _ => le_of_eq
lemma sphere_subset_ball {r R : ℝ} (h : r < R) : sphere x r ⊆ ball x R := fun _x hx ↦
(mem_sphere.1 hx).trans_lt h
theorem closedBall_disjoint_ball (h : δ + ε ≤ dist x y) : Disjoint (closedBall x δ) (ball y ε) :=
Set.disjoint_left.mpr fun _a ha1 ha2 =>
(h.trans <| dist_triangle_left _ _ _).not_lt <| add_lt_add_of_le_of_lt ha1 ha2
theorem ball_disjoint_closedBall (h : δ + ε ≤ dist x y) : Disjoint (ball x δ) (closedBall y ε) :=
(closedBall_disjoint_ball <| by rwa [add_comm, dist_comm]).symm
theorem ball_disjoint_ball (h : δ + ε ≤ dist x y) : Disjoint (ball x δ) (ball y ε) :=
(closedBall_disjoint_ball h).mono_left ball_subset_closedBall
theorem closedBall_disjoint_closedBall (h : δ + ε < dist x y) :
Disjoint (closedBall x δ) (closedBall y ε) :=
Set.disjoint_left.mpr fun _a ha1 ha2 =>
h.not_le <| (dist_triangle_left _ _ _).trans <| add_le_add ha1 ha2
theorem sphere_disjoint_ball : Disjoint (sphere x ε) (ball x ε) :=
Set.disjoint_left.mpr fun _y hy₁ hy₂ => absurd hy₁ <| ne_of_lt hy₂
@[simp]
theorem ball_union_sphere : ball x ε ∪ sphere x ε = closedBall x ε :=
Set.ext fun _y => (@le_iff_lt_or_eq ℝ _ _ _).symm
@[simp]
theorem sphere_union_ball : sphere x ε ∪ ball x ε = closedBall x ε := by
rw [union_comm, ball_union_sphere]
@[simp]
theorem closedBall_diff_sphere : closedBall x ε \ sphere x ε = ball x ε := by
rw [← ball_union_sphere, Set.union_diff_cancel_right sphere_disjoint_ball.symm.le_bot]
@[simp]
theorem closedBall_diff_ball : closedBall x ε \ ball x ε = sphere x ε := by
rw [← ball_union_sphere, Set.union_diff_cancel_left sphere_disjoint_ball.symm.le_bot]
theorem mem_ball_comm : x ∈ ball y ε ↔ y ∈ ball x ε := by rw [mem_ball', mem_ball]
theorem mem_closedBall_comm : x ∈ closedBall y ε ↔ y ∈ closedBall x ε := by
rw [mem_closedBall', mem_closedBall]
theorem mem_sphere_comm : x ∈ sphere y ε ↔ y ∈ sphere x ε := by rw [mem_sphere', mem_sphere]
@[gcongr]
theorem ball_subset_ball (h : ε₁ ≤ ε₂) : ball x ε₁ ⊆ ball x ε₂ := fun _y yx =>
lt_of_lt_of_le (mem_ball.1 yx) h
theorem closedBall_eq_bInter_ball : closedBall x ε = ⋂ δ > ε, ball x δ := by
ext y; rw [mem_closedBall, ← forall_lt_iff_le', mem_iInter₂]; rfl
theorem ball_subset_ball' (h : ε₁ + dist x y ≤ ε₂) : ball x ε₁ ⊆ ball y ε₂ := fun z hz =>
calc
dist z y ≤ dist z x + dist x y := dist_triangle _ _ _
_ < ε₁ + dist x y := add_lt_add_right (mem_ball.1 hz) _
_ ≤ ε₂ := h
@[gcongr]
theorem closedBall_subset_closedBall (h : ε₁ ≤ ε₂) : closedBall x ε₁ ⊆ closedBall x ε₂ :=
fun _y (yx : _ ≤ ε₁) => le_trans yx h
theorem closedBall_subset_closedBall' (h : ε₁ + dist x y ≤ ε₂) :
closedBall x ε₁ ⊆ closedBall y ε₂ := fun z hz =>
calc
dist z y ≤ dist z x + dist x y := dist_triangle _ _ _
_ ≤ ε₁ + dist x y := add_le_add_right (mem_closedBall.1 hz) _
_ ≤ ε₂ := h
theorem closedBall_subset_ball (h : ε₁ < ε₂) : closedBall x ε₁ ⊆ ball x ε₂ :=
fun y (yh : dist y x ≤ ε₁) => lt_of_le_of_lt yh h
theorem closedBall_subset_ball' (h : ε₁ + dist x y < ε₂) :
closedBall x ε₁ ⊆ ball y ε₂ := fun z hz =>
calc
dist z y ≤ dist z x + dist x y := dist_triangle _ _ _
_ ≤ ε₁ + dist x y := add_le_add_right (mem_closedBall.1 hz) _
_ < ε₂ := h
theorem dist_le_add_of_nonempty_closedBall_inter_closedBall
(h : (closedBall x ε₁ ∩ closedBall y ε₂).Nonempty) : dist x y ≤ ε₁ + ε₂ :=
let ⟨z, hz⟩ := h
calc
dist x y ≤ dist z x + dist z y := dist_triangle_left _ _ _
_ ≤ ε₁ + ε₂ := add_le_add hz.1 hz.2
theorem dist_lt_add_of_nonempty_closedBall_inter_ball (h : (closedBall x ε₁ ∩ ball y ε₂).Nonempty) :
dist x y < ε₁ + ε₂ :=
let ⟨z, hz⟩ := h
calc
dist x y ≤ dist z x + dist z y := dist_triangle_left _ _ _
_ < ε₁ + ε₂ := add_lt_add_of_le_of_lt hz.1 hz.2
theorem dist_lt_add_of_nonempty_ball_inter_closedBall (h : (ball x ε₁ ∩ closedBall y ε₂).Nonempty) :
dist x y < ε₁ + ε₂ := by
rw [inter_comm] at h
rw [add_comm, dist_comm]
exact dist_lt_add_of_nonempty_closedBall_inter_ball h
theorem dist_lt_add_of_nonempty_ball_inter_ball (h : (ball x ε₁ ∩ ball y ε₂).Nonempty) :
dist x y < ε₁ + ε₂ :=
dist_lt_add_of_nonempty_closedBall_inter_ball <|
h.mono (inter_subset_inter ball_subset_closedBall Subset.rfl)
@[simp]
theorem iUnion_closedBall_nat (x : α) : ⋃ n : ℕ, closedBall x n = univ :=
iUnion_eq_univ_iff.2 fun y => exists_nat_ge (dist y x)
theorem iUnion_inter_closedBall_nat (s : Set α) (x : α) : ⋃ n : ℕ, s ∩ closedBall x n = s := by
rw [← inter_iUnion, iUnion_closedBall_nat, inter_univ]
theorem ball_subset (h : dist x y ≤ ε₂ - ε₁) : ball x ε₁ ⊆ ball y ε₂ := fun z zx => by
rw [← add_sub_cancel ε₁ ε₂]
exact lt_of_le_of_lt (dist_triangle z x y) (add_lt_add_of_lt_of_le zx h)
theorem ball_half_subset (y) (h : y ∈ ball x (ε / 2)) : ball y (ε / 2) ⊆ ball x ε :=
ball_subset <| by rw [sub_self_div_two]; exact le_of_lt h
theorem exists_ball_subset_ball (h : y ∈ ball x ε) : ∃ ε' > 0, ball y ε' ⊆ ball x ε :=
⟨_, sub_pos.2 h, ball_subset <| by rw [sub_sub_self]⟩
/-- If a property holds for all points in closed balls of arbitrarily large radii, then it holds for
all points. -/
theorem forall_of_forall_mem_closedBall (p : α → Prop) (x : α)
(H : ∃ᶠ R : ℝ in atTop, ∀ y ∈ closedBall x R, p y) (y : α) : p y := by
obtain ⟨R, hR, h⟩ : ∃ R ≥ dist y x, ∀ z : α, z ∈ closedBall x R → p z :=
frequently_iff.1 H (Ici_mem_atTop (dist y x))
exact h _ hR
/-- If a property holds for all points in balls of arbitrarily large radii, then it holds for all
points. -/
theorem forall_of_forall_mem_ball (p : α → Prop) (x : α)
(H : ∃ᶠ R : ℝ in atTop, ∀ y ∈ ball x R, p y) (y : α) : p y := by
obtain ⟨R, hR, h⟩ : ∃ R > dist y x, ∀ z : α, z ∈ ball x R → p z :=
frequently_iff.1 H (Ioi_mem_atTop (dist y x))
exact h _ hR
theorem isBounded_iff {s : Set α} :
IsBounded s ↔ ∃ C : ℝ, ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → dist x y ≤ C := by
rw [isBounded_def, ← Filter.mem_sets, @PseudoMetricSpace.cobounded_sets α, mem_setOf_eq,
compl_compl]
theorem isBounded_iff_eventually {s : Set α} :
IsBounded s ↔ ∀ᶠ C in atTop, ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → dist x y ≤ C :=
isBounded_iff.trans
⟨fun ⟨C, h⟩ => eventually_atTop.2 ⟨C, fun _C' hC' _x hx _y hy => (h hx hy).trans hC'⟩,
Eventually.exists⟩
theorem isBounded_iff_exists_ge {s : Set α} (c : ℝ) :
IsBounded s ↔ ∃ C, c ≤ C ∧ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → dist x y ≤ C :=
⟨fun h => ((eventually_ge_atTop c).and (isBounded_iff_eventually.1 h)).exists, fun h =>
isBounded_iff.2 <| h.imp fun _ => And.right⟩
theorem isBounded_iff_nndist {s : Set α} :
IsBounded s ↔ ∃ C : ℝ≥0, ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → nndist x y ≤ C := by
simp only [isBounded_iff_exists_ge 0, NNReal.exists, ← NNReal.coe_le_coe, ← dist_nndist,
NNReal.coe_mk, exists_prop]
theorem toUniformSpace_eq :
‹PseudoMetricSpace α›.toUniformSpace = .ofDist dist dist_self dist_comm dist_triangle :=
UniformSpace.ext PseudoMetricSpace.uniformity_dist
theorem uniformity_basis_dist :
(𝓤 α).HasBasis (fun ε : ℝ => 0 < ε) fun ε => { p : α × α | dist p.1 p.2 < ε } := by
rw [toUniformSpace_eq]
exact UniformSpace.hasBasis_ofFun (exists_gt _) _ _ _ _ _
/-- Given `f : β → ℝ`, if `f` sends `{i | p i}` to a set of positive numbers
accumulating to zero, then `f i`-neighborhoods of the diagonal form a basis of `𝓤 α`.
For specific bases see `uniformity_basis_dist`, `uniformity_basis_dist_inv_nat_succ`,
and `uniformity_basis_dist_inv_nat_pos`. -/
protected theorem mk_uniformity_basis {β : Type*} {p : β → Prop} {f : β → ℝ}
(hf₀ : ∀ i, p i → 0 < f i) (hf : ∀ ⦃ε⦄, 0 < ε → ∃ i, p i ∧ f i ≤ ε) :
(𝓤 α).HasBasis p fun i => { p : α × α | dist p.1 p.2 < f i } := by
refine ⟨fun s => uniformity_basis_dist.mem_iff.trans ?_⟩
constructor
· rintro ⟨ε, ε₀, hε⟩
rcases hf ε₀ with ⟨i, hi, H⟩
exact ⟨i, hi, fun x (hx : _ < _) => hε <| lt_of_lt_of_le hx H⟩
· exact fun ⟨i, hi, H⟩ => ⟨f i, hf₀ i hi, H⟩
theorem uniformity_basis_dist_rat :
(𝓤 α).HasBasis (fun r : ℚ => 0 < r) fun r => { p : α × α | dist p.1 p.2 < r } :=
Metric.mk_uniformity_basis (fun _ => Rat.cast_pos.2) fun _ε hε =>
let ⟨r, hr0, hrε⟩ := exists_rat_btwn hε
⟨r, Rat.cast_pos.1 hr0, hrε.le⟩
theorem uniformity_basis_dist_inv_nat_succ :
(𝓤 α).HasBasis (fun _ => True) fun n : ℕ => { p : α × α | dist p.1 p.2 < 1 / (↑n + 1) } :=
Metric.mk_uniformity_basis (fun n _ => div_pos zero_lt_one <| Nat.cast_add_one_pos n) fun _ε ε0 =>
(exists_nat_one_div_lt ε0).imp fun _n hn => ⟨trivial, le_of_lt hn⟩
theorem uniformity_basis_dist_inv_nat_pos :
(𝓤 α).HasBasis (fun n : ℕ => 0 < n) fun n : ℕ => { p : α × α | dist p.1 p.2 < 1 / ↑n } :=
Metric.mk_uniformity_basis (fun _ hn => div_pos zero_lt_one <| Nat.cast_pos.2 hn) fun _ ε0 =>
let ⟨n, hn⟩ := exists_nat_one_div_lt ε0
⟨n + 1, Nat.succ_pos n, mod_cast hn.le⟩
theorem uniformity_basis_dist_pow {r : ℝ} (h0 : 0 < r) (h1 : r < 1) :
(𝓤 α).HasBasis (fun _ : ℕ => True) fun n : ℕ => { p : α × α | dist p.1 p.2 < r ^ n } :=
Metric.mk_uniformity_basis (fun _ _ => pow_pos h0 _) fun _ε ε0 =>
let ⟨n, hn⟩ := exists_pow_lt_of_lt_one ε0 h1
⟨n, trivial, hn.le⟩
theorem uniformity_basis_dist_lt {R : ℝ} (hR : 0 < R) :
(𝓤 α).HasBasis (fun r : ℝ => 0 < r ∧ r < R) fun r => { p : α × α | dist p.1 p.2 < r } :=
Metric.mk_uniformity_basis (fun _ => And.left) fun r hr =>
⟨min r (R / 2), ⟨lt_min hr (half_pos hR), min_lt_iff.2 <| Or.inr (half_lt_self hR)⟩,
min_le_left _ _⟩
/-- Given `f : β → ℝ`, if `f` sends `{i | p i}` to a set of positive numbers
accumulating to zero, then closed neighborhoods of the diagonal of sizes `{f i | p i}`
form a basis of `𝓤 α`.
Currently we have only one specific basis `uniformity_basis_dist_le` based on this constructor.
More can be easily added if needed in the future. -/
protected theorem mk_uniformity_basis_le {β : Type*} {p : β → Prop} {f : β → ℝ}
(hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x, p x ∧ f x ≤ ε) :
(𝓤 α).HasBasis p fun x => { p : α × α | dist p.1 p.2 ≤ f x } := by
refine ⟨fun s => uniformity_basis_dist.mem_iff.trans ?_⟩
constructor
· rintro ⟨ε, ε₀, hε⟩
rcases exists_between ε₀ with ⟨ε', hε'⟩
rcases hf ε' hε'.1 with ⟨i, hi, H⟩
exact ⟨i, hi, fun x (hx : _ ≤ _) => hε <| lt_of_le_of_lt (le_trans hx H) hε'.2⟩
· exact fun ⟨i, hi, H⟩ => ⟨f i, hf₀ i hi, fun x (hx : _ < _) => H (mem_setOf.2 hx.le)⟩
/-- Constant size closed neighborhoods of the diagonal form a basis
of the uniformity filter. -/
theorem uniformity_basis_dist_le :
(𝓤 α).HasBasis ((0 : ℝ) < ·) fun ε => { p : α × α | dist p.1 p.2 ≤ ε } :=
Metric.mk_uniformity_basis_le (fun _ => id) fun ε ε₀ => ⟨ε, ε₀, le_refl ε⟩
theorem uniformity_basis_dist_le_pow {r : ℝ} (h0 : 0 < r) (h1 : r < 1) :
(𝓤 α).HasBasis (fun _ : ℕ => True) fun n : ℕ => { p : α × α | dist p.1 p.2 ≤ r ^ n } :=
Metric.mk_uniformity_basis_le (fun _ _ => pow_pos h0 _) fun _ε ε0 =>
let ⟨n, hn⟩ := exists_pow_lt_of_lt_one ε0 h1
⟨n, trivial, hn.le⟩
theorem mem_uniformity_dist {s : Set (α × α)} :
s ∈ 𝓤 α ↔ ∃ ε > 0, ∀ ⦃a b : α⦄, dist a b < ε → (a, b) ∈ s :=
uniformity_basis_dist.mem_uniformity_iff
/-- A constant size neighborhood of the diagonal is an entourage. -/
theorem dist_mem_uniformity {ε : ℝ} (ε0 : 0 < ε) : { p : α × α | dist p.1 p.2 < ε } ∈ 𝓤 α :=
mem_uniformity_dist.2 ⟨ε, ε0, fun _ _ ↦ id⟩
theorem uniformContinuous_iff [PseudoMetricSpace β] {f : α → β} :
UniformContinuous f ↔ ∀ ε > 0, ∃ δ > 0, ∀ ⦃a b : α⦄, dist a b < δ → dist (f a) (f b) < ε :=
uniformity_basis_dist.uniformContinuous_iff uniformity_basis_dist
theorem uniformContinuousOn_iff [PseudoMetricSpace β] {f : α → β} {s : Set α} :
UniformContinuousOn f s ↔
∀ ε > 0, ∃ δ > 0, ∀ x ∈ s, ∀ y ∈ s, dist x y < δ → dist (f x) (f y) < ε :=
Metric.uniformity_basis_dist.uniformContinuousOn_iff Metric.uniformity_basis_dist
theorem uniformContinuousOn_iff_le [PseudoMetricSpace β] {f : α → β} {s : Set α} :
UniformContinuousOn f s ↔
∀ ε > 0, ∃ δ > 0, ∀ x ∈ s, ∀ y ∈ s, dist x y ≤ δ → dist (f x) (f y) ≤ ε :=
Metric.uniformity_basis_dist_le.uniformContinuousOn_iff Metric.uniformity_basis_dist_le
theorem nhds_basis_ball : (𝓝 x).HasBasis (0 < ·) (ball x) :=
nhds_basis_uniformity uniformity_basis_dist
theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ ε > 0, ball x ε ⊆ s :=
nhds_basis_ball.mem_iff
theorem eventually_nhds_iff {p : α → Prop} :
(∀ᶠ y in 𝓝 x, p y) ↔ ∃ ε > 0, ∀ ⦃y⦄, dist y x < ε → p y :=
mem_nhds_iff
theorem eventually_nhds_iff_ball {p : α → Prop} :
(∀ᶠ y in 𝓝 x, p y) ↔ ∃ ε > 0, ∀ y ∈ ball x ε, p y :=
mem_nhds_iff
/-- A version of `Filter.eventually_prod_iff` where the first filter consists of neighborhoods
in a pseudo-metric space. -/
theorem eventually_nhds_prod_iff {f : Filter ι} {x₀ : α} {p : α × ι → Prop} :
(∀ᶠ x in 𝓝 x₀ ×ˢ f, p x) ↔ ∃ ε > (0 : ℝ), ∃ pa : ι → Prop, (∀ᶠ i in f, pa i) ∧
∀ ⦃x⦄, dist x x₀ < ε → ∀ ⦃i⦄, pa i → p (x, i) := by
refine (nhds_basis_ball.prod f.basis_sets).eventually_iff.trans ?_
simp only [Prod.exists, forall_prod_set, id, mem_ball, and_assoc, exists_and_left, and_imp]
rfl
/-- A version of `Filter.eventually_prod_iff` where the second filter consists of neighborhoods
in a pseudo-metric space. -/
theorem eventually_prod_nhds_iff {f : Filter ι} {x₀ : α} {p : ι × α → Prop} :
(∀ᶠ x in f ×ˢ 𝓝 x₀, p x) ↔ ∃ pa : ι → Prop, (∀ᶠ i in f, pa i) ∧
∃ ε > 0, ∀ ⦃i⦄, pa i → ∀ ⦃x⦄, dist x x₀ < ε → p (i, x) := by
rw [eventually_swap_iff, Metric.eventually_nhds_prod_iff]
constructor <;>
· rintro ⟨a1, a2, a3, a4, a5⟩
exact ⟨a3, a4, a1, a2, fun _ b1 b2 b3 => a5 b3 b1⟩
theorem nhds_basis_closedBall : (𝓝 x).HasBasis (fun ε : ℝ => 0 < ε) (closedBall x) :=
nhds_basis_uniformity uniformity_basis_dist_le
theorem nhds_basis_ball_inv_nat_succ :
(𝓝 x).HasBasis (fun _ => True) fun n : ℕ => ball x (1 / (↑n + 1)) :=
nhds_basis_uniformity uniformity_basis_dist_inv_nat_succ
theorem nhds_basis_ball_inv_nat_pos :
(𝓝 x).HasBasis (fun n => 0 < n) fun n : ℕ => ball x (1 / ↑n) :=
nhds_basis_uniformity uniformity_basis_dist_inv_nat_pos
theorem nhds_basis_ball_pow {r : ℝ} (h0 : 0 < r) (h1 : r < 1) :
(𝓝 x).HasBasis (fun _ => True) fun n : ℕ => ball x (r ^ n) :=
nhds_basis_uniformity (uniformity_basis_dist_pow h0 h1)
theorem nhds_basis_closedBall_pow {r : ℝ} (h0 : 0 < r) (h1 : r < 1) :
(𝓝 x).HasBasis (fun _ => True) fun n : ℕ => closedBall x (r ^ n) :=
nhds_basis_uniformity (uniformity_basis_dist_le_pow h0 h1)
theorem isOpen_iff : IsOpen s ↔ ∀ x ∈ s, ∃ ε > 0, ball x ε ⊆ s := by
simp only [isOpen_iff_mem_nhds, mem_nhds_iff]
@[simp] theorem isOpen_ball : IsOpen (ball x ε) :=
isOpen_iff.2 fun _ => exists_ball_subset_ball
theorem ball_mem_nhds (x : α) {ε : ℝ} (ε0 : 0 < ε) : ball x ε ∈ 𝓝 x :=
isOpen_ball.mem_nhds (mem_ball_self ε0)
theorem closedBall_mem_nhds (x : α) {ε : ℝ} (ε0 : 0 < ε) : closedBall x ε ∈ 𝓝 x :=
mem_of_superset (ball_mem_nhds x ε0) ball_subset_closedBall
theorem closedBall_mem_nhds_of_mem {x c : α} {ε : ℝ} (h : x ∈ ball c ε) : closedBall c ε ∈ 𝓝 x :=
mem_of_superset (isOpen_ball.mem_nhds h) ball_subset_closedBall
theorem nhdsWithin_basis_ball {s : Set α} :
(𝓝[s] x).HasBasis (fun ε : ℝ => 0 < ε) fun ε => ball x ε ∩ s :=
nhdsWithin_hasBasis nhds_basis_ball s
theorem mem_nhdsWithin_iff {t : Set α} : s ∈ 𝓝[t] x ↔ ∃ ε > 0, ball x ε ∩ t ⊆ s :=
nhdsWithin_basis_ball.mem_iff
theorem tendsto_nhdsWithin_nhdsWithin [PseudoMetricSpace β] {t : Set β} {f : α → β} {a b} :
Tendsto f (𝓝[s] a) (𝓝[t] b) ↔
∀ ε > 0, ∃ δ > 0, ∀ ⦃x : α⦄, x ∈ s → dist x a < δ → f x ∈ t ∧ dist (f x) b < ε :=
(nhdsWithin_basis_ball.tendsto_iff nhdsWithin_basis_ball).trans <| by
simp only [inter_comm _ s, inter_comm _ t, mem_inter_iff, and_imp, gt_iff_lt, mem_ball]
theorem tendsto_nhdsWithin_nhds [PseudoMetricSpace β] {f : α → β} {a b} :
Tendsto f (𝓝[s] a) (𝓝 b) ↔
∀ ε > 0, ∃ δ > 0, ∀ ⦃x : α⦄, x ∈ s → dist x a < δ → dist (f x) b < ε := by
rw [← nhdsWithin_univ b, tendsto_nhdsWithin_nhdsWithin]
simp only [mem_univ, true_and]
theorem tendsto_nhds_nhds [PseudoMetricSpace β] {f : α → β} {a b} :
Tendsto f (𝓝 a) (𝓝 b) ↔ ∀ ε > 0, ∃ δ > 0, ∀ ⦃x : α⦄, dist x a < δ → dist (f x) b < ε :=
nhds_basis_ball.tendsto_iff nhds_basis_ball
theorem continuousAt_iff [PseudoMetricSpace β] {f : α → β} {a : α} :
ContinuousAt f a ↔ ∀ ε > 0, ∃ δ > 0, ∀ ⦃x : α⦄, dist x a < δ → dist (f x) (f a) < ε := by
rw [ContinuousAt, tendsto_nhds_nhds]
theorem continuousWithinAt_iff [PseudoMetricSpace β] {f : α → β} {a : α} {s : Set α} :
ContinuousWithinAt f s a ↔
∀ ε > 0, ∃ δ > 0, ∀ ⦃x : α⦄, x ∈ s → dist x a < δ → dist (f x) (f a) < ε := by
rw [ContinuousWithinAt, tendsto_nhdsWithin_nhds]
theorem continuousOn_iff [PseudoMetricSpace β] {f : α → β} {s : Set α} :
ContinuousOn f s ↔ ∀ b ∈ s, ∀ ε > 0, ∃ δ > 0, ∀ a ∈ s, dist a b < δ → dist (f a) (f b) < ε := by
simp [ContinuousOn, continuousWithinAt_iff]
theorem continuous_iff [PseudoMetricSpace β] {f : α → β} :
Continuous f ↔ ∀ b, ∀ ε > 0, ∃ δ > 0, ∀ a, dist a b < δ → dist (f a) (f b) < ε :=
continuous_iff_continuousAt.trans <| forall_congr' fun _ => tendsto_nhds_nhds
theorem tendsto_nhds {f : Filter β} {u : β → α} {a : α} :
Tendsto u f (𝓝 a) ↔ ∀ ε > 0, ∀ᶠ x in f, dist (u x) a < ε :=
nhds_basis_ball.tendsto_right_iff
theorem continuousAt_iff' [TopologicalSpace β] {f : β → α} {b : β} :
ContinuousAt f b ↔ ∀ ε > 0, ∀ᶠ x in 𝓝 b, dist (f x) (f b) < ε := by
rw [ContinuousAt, tendsto_nhds]
theorem continuousWithinAt_iff' [TopologicalSpace β] {f : β → α} {b : β} {s : Set β} :
ContinuousWithinAt f s b ↔ ∀ ε > 0, ∀ᶠ x in 𝓝[s] b, dist (f x) (f b) < ε := by
rw [ContinuousWithinAt, tendsto_nhds]
theorem continuousOn_iff' [TopologicalSpace β] {f : β → α} {s : Set β} :
ContinuousOn f s ↔ ∀ b ∈ s, ∀ ε > 0, ∀ᶠ x in 𝓝[s] b, dist (f x) (f b) < ε := by
simp [ContinuousOn, continuousWithinAt_iff']
theorem continuous_iff' [TopologicalSpace β] {f : β → α} :
Continuous f ↔ ∀ (a), ∀ ε > 0, ∀ᶠ x in 𝓝 a, dist (f x) (f a) < ε :=
continuous_iff_continuousAt.trans <| forall_congr' fun _ => tendsto_nhds
theorem tendsto_atTop [Nonempty β] [SemilatticeSup β] {u : β → α} {a : α} :
Tendsto u atTop (𝓝 a) ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, dist (u n) a < ε :=
(atTop_basis.tendsto_iff nhds_basis_ball).trans <| by
simp only [true_and, mem_ball, mem_Ici]
/-- A variant of `tendsto_atTop` that
uses `∃ N, ∀ n > N, ...` rather than `∃ N, ∀ n ≥ N, ...`
-/
theorem tendsto_atTop' [Nonempty β] [SemilatticeSup β] [NoMaxOrder β] {u : β → α} {a : α} :
Tendsto u atTop (𝓝 a) ↔ ∀ ε > 0, ∃ N, ∀ n > N, dist (u n) a < ε :=
(atTop_basis_Ioi.tendsto_iff nhds_basis_ball).trans <| by
simp only [true_and, gt_iff_lt, mem_Ioi, mem_ball]
theorem isOpen_singleton_iff {α : Type*} [PseudoMetricSpace α] {x : α} :
IsOpen ({x} : Set α) ↔ ∃ ε > 0, ∀ y, dist y x < ε → y = x := by
simp [isOpen_iff, subset_singleton_iff, mem_ball]
theorem _root_.Dense.exists_dist_lt {s : Set α} (hs : Dense s) (x : α) {ε : ℝ} (hε : 0 < ε) :
∃ y ∈ s, dist x y < ε := by
have : (ball x ε).Nonempty := by simp [hε]
simpa only [mem_ball'] using hs.exists_mem_open isOpen_ball this
nonrec theorem _root_.DenseRange.exists_dist_lt {β : Type*} {f : β → α} (hf : DenseRange f) (x : α)
{ε : ℝ} (hε : 0 < ε) : ∃ y, dist x (f y) < ε :=
exists_range_iff.1 (hf.exists_dist_lt x hε)
/-- (Pseudo) metric space has discrete `UniformSpace` structure
iff the distances between distinct points are uniformly bounded away from zero. -/
protected lemma uniformSpace_eq_bot :
‹PseudoMetricSpace α›.toUniformSpace = ⊥ ↔
∃ r : ℝ, 0 < r ∧ Pairwise (r ≤ dist · · : α → α → Prop) := by
simp only [uniformity_basis_dist.uniformSpace_eq_bot, mem_setOf_eq, not_lt]
end Metric
open Metric
/-- If the distances between distinct points in a (pseudo) metric space
are uniformly bounded away from zero, then the space has discrete topology. -/
lemma DiscreteTopology.of_forall_le_dist {α} [PseudoMetricSpace α] {r : ℝ} (hpos : 0 < r)
(hr : Pairwise (r ≤ dist · · : α → α → Prop)) : DiscreteTopology α :=
⟨by rw [Metric.uniformSpace_eq_bot.2 ⟨r, hpos, hr⟩, UniformSpace.toTopologicalSpace_bot]⟩
/- Instantiate a pseudometric space as a pseudoemetric space. Before we can state the instance,
we need to show that the uniform structure coming from the edistance and the
distance coincide. -/
theorem Metric.uniformity_edist_aux {α} (d : α → α → ℝ≥0) :
⨅ ε > (0 : ℝ), 𝓟 { p : α × α | ↑(d p.1 p.2) < ε } =
⨅ ε > (0 : ℝ≥0∞), 𝓟 { p : α × α | ↑(d p.1 p.2) < ε } := by
simp only [le_antisymm_iff, le_iInf_iff, le_principal_iff]
refine ⟨fun ε hε => ?_, fun ε hε => ?_⟩
· rcases ENNReal.lt_iff_exists_nnreal_btwn.1 hε with ⟨ε', ε'0, ε'ε⟩
refine mem_iInf_of_mem (ε' : ℝ) (mem_iInf_of_mem (ENNReal.coe_pos.1 ε'0) ?_)
exact fun x hx => lt_trans (ENNReal.coe_lt_coe.2 hx) ε'ε
· lift ε to ℝ≥0 using le_of_lt hε
refine mem_iInf_of_mem (ε : ℝ≥0∞) (mem_iInf_of_mem (ENNReal.coe_pos.2 hε) ?_)
exact fun _ => ENNReal.coe_lt_coe.1
theorem Metric.uniformity_edist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } := by
simp only [PseudoMetricSpace.uniformity_dist, dist_nndist, edist_nndist,
Metric.uniformity_edist_aux]
-- see Note [lower instance priority]
/-- A pseudometric space induces a pseudoemetric space -/
instance (priority := 100) PseudoMetricSpace.toPseudoEMetricSpace : PseudoEMetricSpace α :=
{ ‹PseudoMetricSpace α› with
edist_self := by simp [edist_dist]
edist_comm := fun _ _ => by simp only [edist_dist, dist_comm]
edist_triangle := fun x y z => by
simp only [edist_dist, ← ENNReal.ofReal_add, dist_nonneg]
rw [ENNReal.ofReal_le_ofReal_iff _]
· exact dist_triangle _ _ _
· simpa using add_le_add (dist_nonneg : 0 ≤ dist x y) dist_nonneg
uniformity_edist := Metric.uniformity_edist }
/-- In a pseudometric space, an open ball of infinite radius is the whole space -/
theorem Metric.eball_top_eq_univ (x : α) : EMetric.ball x ∞ = Set.univ :=
Set.eq_univ_iff_forall.mpr fun y => edist_lt_top y x
/-- Balls defined using the distance or the edistance coincide -/
@[simp]
theorem Metric.emetric_ball {x : α} {ε : ℝ} : EMetric.ball x (ENNReal.ofReal ε) = ball x ε := by
ext y
simp only [EMetric.mem_ball, mem_ball, edist_dist]
exact ENNReal.ofReal_lt_ofReal_iff_of_nonneg dist_nonneg
/-- Balls defined using the distance or the edistance coincide -/
@[simp]
theorem Metric.emetric_ball_nnreal {x : α} {ε : ℝ≥0} : EMetric.ball x ε = ball x ε := by
rw [← Metric.emetric_ball]
simp
/-- Closed balls defined using the distance or the edistance coincide -/
theorem Metric.emetric_closedBall {x : α} {ε : ℝ} (h : 0 ≤ ε) :
EMetric.closedBall x (ENNReal.ofReal ε) = closedBall x ε := by
ext y; simp [edist_le_ofReal h]
/-- Closed balls defined using the distance or the edistance coincide -/
@[simp]
theorem Metric.emetric_closedBall_nnreal {x : α} {ε : ℝ≥0} :
EMetric.closedBall x ε = closedBall x ε := by
rw [← Metric.emetric_closedBall ε.coe_nonneg, ENNReal.ofReal_coe_nnreal]
@[simp]
theorem Metric.emetric_ball_top (x : α) : EMetric.ball x ⊤ = univ :=
eq_univ_of_forall fun _ => edist_lt_top _ _
/-- Build a new pseudometric space from an old one where the bundled uniform structure is provably
(but typically non-definitionaly) equal to some given uniform structure.
See Note [forgetful inheritance].
See Note [reducible non-instances].
-/
abbrev PseudoMetricSpace.replaceUniformity {α} [U : UniformSpace α] (m : PseudoMetricSpace α)
(H : 𝓤[U] = 𝓤[PseudoEMetricSpace.toUniformSpace]) : PseudoMetricSpace α :=
{ m with
toUniformSpace := U
uniformity_dist := H.trans PseudoMetricSpace.uniformity_dist }
theorem PseudoMetricSpace.replaceUniformity_eq {α} [U : UniformSpace α] (m : PseudoMetricSpace α)
(H : 𝓤[U] = 𝓤[PseudoEMetricSpace.toUniformSpace]) : m.replaceUniformity H = m := by
ext
rfl
-- ensure that the bornology is unchanged when replacing the uniformity.
example {α} [U : UniformSpace α] (m : PseudoMetricSpace α)
(H : 𝓤[U] = 𝓤[PseudoEMetricSpace.toUniformSpace]) :
(PseudoMetricSpace.replaceUniformity m H).toBornology = m.toBornology := by
with_reducible_and_instances rfl
/-- Build a new pseudo metric space from an old one where the bundled topological structure is
provably (but typically non-definitionaly) equal to some given topological structure.
See Note [forgetful inheritance].
See Note [reducible non-instances].
-/
abbrev PseudoMetricSpace.replaceTopology {γ} [U : TopologicalSpace γ] (m : PseudoMetricSpace γ)
(H : U = m.toUniformSpace.toTopologicalSpace) : PseudoMetricSpace γ :=
@PseudoMetricSpace.replaceUniformity γ (m.toUniformSpace.replaceTopology H) m rfl
theorem PseudoMetricSpace.replaceTopology_eq {γ} [U : TopologicalSpace γ] (m : PseudoMetricSpace γ)
(H : U = m.toUniformSpace.toTopologicalSpace) : m.replaceTopology H = m := by
ext
rfl
/-- One gets a pseudometric space from an emetric space if the edistance
is everywhere finite, by pushing the edistance to reals. We set it up so that the edist and the
uniformity are defeq in the pseudometric space and the pseudoemetric space. In this definition, the
distance is given separately, to be able to prescribe some expression which is not defeq to the
push-forward of the edistance to reals. See note [reducible non-instances]. -/
abbrev PseudoEMetricSpace.toPseudoMetricSpaceOfDist {α : Type u} [e : PseudoEMetricSpace α]
(dist : α → α → ℝ) (edist_ne_top : ∀ x y : α, edist x y ≠ ⊤)
(h : ∀ x y, dist x y = ENNReal.toReal (edist x y)) : PseudoMetricSpace α where
dist := dist
dist_self x := by simp [h]
dist_comm x y := by simp [h, edist_comm]
dist_triangle x y z := by
simp only [h]
exact ENNReal.toReal_le_add (edist_triangle _ _ _) (edist_ne_top _ _) (edist_ne_top _ _)
edist := edist
edist_dist _ _ := by simp only [h, ENNReal.ofReal_toReal (edist_ne_top _ _)]
toUniformSpace := e.toUniformSpace
uniformity_dist := e.uniformity_edist.trans <| by
simpa only [ENNReal.coe_toNNReal (edist_ne_top _ _), h]
using (Metric.uniformity_edist_aux fun x y : α => (edist x y).toNNReal).symm
/-- One gets a pseudometric space from an emetric space if the edistance
is everywhere finite, by pushing the edistance to reals. We set it up so that the edist and the
uniformity are defeq in the pseudometric space and the emetric space. -/
abbrev PseudoEMetricSpace.toPseudoMetricSpace {α : Type u} [PseudoEMetricSpace α]
(h : ∀ x y : α, edist x y ≠ ⊤) : PseudoMetricSpace α :=
PseudoEMetricSpace.toPseudoMetricSpaceOfDist (fun x y => ENNReal.toReal (edist x y)) h fun _ _ =>
rfl
/-- Build a new pseudometric space from an old one where the bundled bornology structure is provably
(but typically non-definitionaly) equal to some given bornology structure.
See Note [forgetful inheritance].
See Note [reducible non-instances].
-/
abbrev PseudoMetricSpace.replaceBornology {α} [B : Bornology α] (m : PseudoMetricSpace α)
(H : ∀ s, @IsBounded _ B s ↔ @IsBounded _ PseudoMetricSpace.toBornology s) :
PseudoMetricSpace α :=
{ m with
toBornology := B
cobounded_sets := Set.ext <| compl_surjective.forall.2 fun s =>
(H s).trans <| by rw [isBounded_iff, mem_setOf_eq, compl_compl] }
theorem PseudoMetricSpace.replaceBornology_eq {α} [m : PseudoMetricSpace α] [B : Bornology α]
(H : ∀ s, @IsBounded _ B s ↔ @IsBounded _ PseudoMetricSpace.toBornology s) :
PseudoMetricSpace.replaceBornology _ H = m := by
ext
rfl
-- ensure that the uniformity is unchanged when replacing the bornology.
example {α} [B : Bornology α] (m : PseudoMetricSpace α)
(H : ∀ s, @IsBounded _ B s ↔ @IsBounded _ PseudoMetricSpace.toBornology s) :
(PseudoMetricSpace.replaceBornology m H).toUniformSpace = m.toUniformSpace := by
with_reducible_and_instances rfl
section Real
/-- Instantiate the reals as a pseudometric space. -/
instance Real.pseudoMetricSpace : PseudoMetricSpace ℝ where
dist x y := |x - y|
dist_self := by simp [abs_zero]
dist_comm _ _ := abs_sub_comm _ _
dist_triangle _ _ _ := abs_sub_le _ _ _
theorem Real.dist_eq (x y : ℝ) : dist x y = |x - y| := rfl
theorem Real.nndist_eq (x y : ℝ) : nndist x y = Real.nnabs (x - y) := rfl
theorem Real.nndist_eq' (x y : ℝ) : nndist x y = Real.nnabs (y - x) :=
nndist_comm _ _
theorem Real.dist_0_eq_abs (x : ℝ) : dist x 0 = |x| := by simp [Real.dist_eq]
theorem Real.sub_le_dist (x y : ℝ) : x - y ≤ dist x y := by
rw [Real.dist_eq, le_abs]
exact Or.inl (le_refl _)
theorem Real.ball_eq_Ioo (x r : ℝ) : ball x r = Ioo (x - r) (x + r) :=
Set.ext fun y => by
rw [mem_ball, dist_comm, Real.dist_eq, abs_sub_lt_iff, mem_Ioo, ← sub_lt_iff_lt_add',
sub_lt_comm]
theorem Real.closedBall_eq_Icc {x r : ℝ} : closedBall x r = Icc (x - r) (x + r) := by
ext y
rw [mem_closedBall, dist_comm, Real.dist_eq, abs_sub_le_iff, mem_Icc, ← sub_le_iff_le_add',
sub_le_comm]
theorem Real.Ioo_eq_ball (x y : ℝ) : Ioo x y = ball ((x + y) / 2) ((y - x) / 2) := by
rw [Real.ball_eq_Ioo, ← sub_div, add_comm, ← sub_add, add_sub_cancel_left, add_self_div_two,
← add_div, add_assoc, add_sub_cancel, add_self_div_two]
theorem Real.Icc_eq_closedBall (x y : ℝ) : Icc x y = closedBall ((x + y) / 2) ((y - x) / 2) := by
rw [Real.closedBall_eq_Icc, ← sub_div, add_comm, ← sub_add, add_sub_cancel_left, add_self_div_two,
← add_div, add_assoc, add_sub_cancel, add_self_div_two]
theorem Metric.uniformity_eq_comap_nhds_zero :
𝓤 α = comap (fun p : α × α => dist p.1 p.2) (𝓝 (0 : ℝ)) := by
ext s
simp only [mem_uniformity_dist, (nhds_basis_ball.comap _).mem_iff]
simp [subset_def, Real.dist_0_eq_abs]
theorem tendsto_uniformity_iff_dist_tendsto_zero {f : ι → α × α} {p : Filter ι} :
Tendsto f p (𝓤 α) ↔ Tendsto (fun x => dist (f x).1 (f x).2) p (𝓝 0) := by
rw [Metric.uniformity_eq_comap_nhds_zero, tendsto_comap_iff, Function.comp_def]
theorem Filter.Tendsto.congr_dist {f₁ f₂ : ι → α} {p : Filter ι} {a : α}
(h₁ : Tendsto f₁ p (𝓝 a)) (h : Tendsto (fun x => dist (f₁ x) (f₂ x)) p (𝓝 0)) :
Tendsto f₂ p (𝓝 a) :=
h₁.congr_uniformity <| tendsto_uniformity_iff_dist_tendsto_zero.2 h
alias tendsto_of_tendsto_of_dist := Filter.Tendsto.congr_dist
theorem tendsto_iff_of_dist {f₁ f₂ : ι → α} {p : Filter ι} {a : α}
(h : Tendsto (fun x => dist (f₁ x) (f₂ x)) p (𝓝 0)) : Tendsto f₁ p (𝓝 a) ↔ Tendsto f₂ p (𝓝 a) :=
Uniform.tendsto_congr <| tendsto_uniformity_iff_dist_tendsto_zero.2 h
end Real
theorem PseudoMetricSpace.dist_eq_of_dist_zero (x : α) {y z : α} (h : dist y z = 0) :
dist x y = dist x z :=
dist_comm y x ▸ dist_comm z x ▸ sub_eq_zero.1 (abs_nonpos_iff.1 (h ▸ abs_dist_sub_le y z x))
theorem dist_dist_dist_le_left (x y z : α) : dist (dist x z) (dist y z) ≤ dist x y :=
abs_dist_sub_le ..
theorem dist_dist_dist_le_right (x y z : α) : dist (dist x y) (dist x z) ≤ dist y z := by
simpa only [dist_comm x] using dist_dist_dist_le_left y z x
theorem dist_dist_dist_le (x y x' y' : α) : dist (dist x y) (dist x' y') ≤ dist x x' + dist y y' :=
(dist_triangle _ _ _).trans <|
add_le_add (dist_dist_dist_le_left _ _ _) (dist_dist_dist_le_right _ _ _)
theorem nhds_comap_dist (a : α) : ((𝓝 (0 : ℝ)).comap (dist · a)) = 𝓝 a := by
simp only [@nhds_eq_comap_uniformity α, Metric.uniformity_eq_comap_nhds_zero, comap_comap,
Function.comp_def, dist_comm]
theorem tendsto_iff_dist_tendsto_zero {f : β → α} {x : Filter β} {a : α} :
Tendsto f x (𝓝 a) ↔ Tendsto (fun b => dist (f b) a) x (𝓝 0) := by
rw [← nhds_comap_dist a, tendsto_comap_iff, Function.comp_def]
namespace Metric
variable {x y z : α} {ε ε₁ ε₂ : ℝ} {s : Set α}
theorem ball_subset_interior_closedBall : ball x ε ⊆ interior (closedBall x ε) :=
interior_maximal ball_subset_closedBall isOpen_ball
/-- ε-characterization of the closure in pseudometric spaces -/
theorem mem_closure_iff {s : Set α} {a : α} : a ∈ closure s ↔ ∀ ε > 0, ∃ b ∈ s, dist a b < ε :=
(mem_closure_iff_nhds_basis nhds_basis_ball).trans <| by simp only [mem_ball, dist_comm]
theorem mem_closure_range_iff {e : β → α} {a : α} :
a ∈ closure (range e) ↔ ∀ ε > 0, ∃ k : β, dist a (e k) < ε := by
simp only [mem_closure_iff, exists_range_iff]
theorem mem_closure_range_iff_nat {e : β → α} {a : α} :
a ∈ closure (range e) ↔ ∀ n : ℕ, ∃ k : β, dist a (e k) < 1 / ((n : ℝ) + 1) :=
(mem_closure_iff_nhds_basis nhds_basis_ball_inv_nat_succ).trans <| by
simp only [mem_ball, dist_comm, exists_range_iff, forall_const]
theorem mem_of_closed' {s : Set α} (hs : IsClosed s) {a : α} :
a ∈ s ↔ ∀ ε > 0, ∃ b ∈ s, dist a b < ε := by
simpa only [hs.closure_eq] using @mem_closure_iff _ _ s a
theorem dense_iff {s : Set α} : Dense s ↔ ∀ x, ∀ r > 0, (ball x r ∩ s).Nonempty :=
forall_congr' fun x => by
simp only [mem_closure_iff, Set.Nonempty, exists_prop, mem_inter_iff, mem_ball', and_comm]
theorem dense_iff_iUnion_ball (s : Set α) : Dense s ↔ ∀ r > 0, ⋃ c ∈ s, ball c r = univ := by
simp_rw [eq_univ_iff_forall, mem_iUnion, exists_prop, mem_ball, Dense, mem_closure_iff,
forall_comm (α := α)]
theorem denseRange_iff {f : β → α} : DenseRange f ↔ ∀ x, ∀ r > 0, ∃ y, dist x (f y) < r :=
forall_congr' fun x => by simp only [mem_closure_iff, exists_range_iff]
end Metric
open Additive Multiplicative
instance : PseudoMetricSpace (Additive α) := ‹_›
instance : PseudoMetricSpace (Multiplicative α) := ‹_›
section
variable [PseudoMetricSpace X]
@[simp] theorem nndist_ofMul (a b : X) : nndist (ofMul a) (ofMul b) = nndist a b := rfl
@[simp] theorem nndist_ofAdd (a b : X) : nndist (ofAdd a) (ofAdd b) = nndist a b := rfl
@[simp] theorem nndist_toMul (a b : Additive X) : nndist a.toMul b.toMul = nndist a b := rfl
@[simp]
theorem nndist_toAdd (a b : Multiplicative X) : nndist a.toAdd b.toAdd = nndist a b := rfl
end
open OrderDual
instance : PseudoMetricSpace αᵒᵈ := ‹_›
section
variable [PseudoMetricSpace X]
@[simp] theorem nndist_toDual (a b : X) : nndist (toDual a) (toDual b) = nndist a b := rfl
@[simp] theorem nndist_ofDual (a b : Xᵒᵈ) : nndist (ofDual a) (ofDual b) = nndist a b := rfl
end
| Mathlib/Topology/MetricSpace/Pseudo/Defs.lean | 1,376 | 1,378 | |
/-
Copyright (c) 2020 Frédéric Dupuis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Frédéric Dupuis
-/
import Mathlib.Algebra.Algebra.Field
import Mathlib.Algebra.BigOperators.Balance
import Mathlib.Algebra.Order.BigOperators.Expect
import Mathlib.Algebra.Order.Star.Basic
import Mathlib.Analysis.CStarAlgebra.Basic
import Mathlib.Analysis.Normed.Operator.ContinuousLinearMap
import Mathlib.Data.Real.Sqrt
import Mathlib.LinearAlgebra.Basis.VectorSpace
/-!
# `RCLike`: a typeclass for ℝ or ℂ
This file defines the typeclass `RCLike` intended to have only two instances:
ℝ and ℂ. It is meant for definitions and theorems which hold for both the real and the complex case,
and in particular when the real case follows directly from the complex case by setting `re` to `id`,
`im` to zero and so on. Its API follows closely that of ℂ.
Applications include defining inner products and Hilbert spaces for both the real and
complex case. One typically produces the definitions and proof for an arbitrary field of this
typeclass, which basically amounts to doing the complex case, and the two cases then fall out
immediately from the two instances of the class.
The instance for `ℝ` is registered in this file.
The instance for `ℂ` is declared in `Mathlib/Analysis/Complex/Basic.lean`.
## Implementation notes
The coercion from reals into an `RCLike` field is done by registering `RCLike.ofReal` as
a `CoeTC`. For this to work, we must proceed carefully to avoid problems involving circular
coercions in the case `K=ℝ`; in particular, we cannot use the plain `Coe` and must set
priorities carefully. This problem was already solved for `ℕ`, and we copy the solution detailed
in `Mathlib/Data/Nat/Cast/Defs.lean`. See also Note [coercion into rings] for more details.
In addition, several lemmas need to be set at priority 900 to make sure that they do not override
their counterparts in `Mathlib/Analysis/Complex/Basic.lean` (which causes linter errors).
A few lemmas requiring heavier imports are in `Mathlib/Analysis/RCLike/Lemmas.lean`.
-/
open Fintype
open scoped BigOperators ComplexConjugate
section
local notation "𝓚" => algebraMap ℝ _
/--
This typeclass captures properties shared by ℝ and ℂ, with an API that closely matches that of ℂ.
-/
class RCLike (K : semiOutParam Type*) extends DenselyNormedField K, StarRing K,
NormedAlgebra ℝ K, CompleteSpace K where
/-- The real part as an additive monoid homomorphism -/
re : K →+ ℝ
/-- The imaginary part as an additive monoid homomorphism -/
im : K →+ ℝ
/-- Imaginary unit in `K`. Meant to be set to `0` for `K = ℝ`. -/
I : K
I_re_ax : re I = 0
I_mul_I_ax : I = 0 ∨ I * I = -1
re_add_im_ax : ∀ z : K, 𝓚 (re z) + 𝓚 (im z) * I = z
ofReal_re_ax : ∀ r : ℝ, re (𝓚 r) = r
ofReal_im_ax : ∀ r : ℝ, im (𝓚 r) = 0
mul_re_ax : ∀ z w : K, re (z * w) = re z * re w - im z * im w
mul_im_ax : ∀ z w : K, im (z * w) = re z * im w + im z * re w
conj_re_ax : ∀ z : K, re (conj z) = re z
conj_im_ax : ∀ z : K, im (conj z) = -im z
conj_I_ax : conj I = -I
norm_sq_eq_def_ax : ∀ z : K, ‖z‖ ^ 2 = re z * re z + im z * im z
mul_im_I_ax : ∀ z : K, im z * im I = im z
/-- only an instance in the `ComplexOrder` locale -/
[toPartialOrder : PartialOrder K]
le_iff_re_im {z w : K} : z ≤ w ↔ re z ≤ re w ∧ im z = im w
-- note we cannot put this in the `extends` clause
[toDecidableEq : DecidableEq K]
scoped[ComplexOrder] attribute [instance 100] RCLike.toPartialOrder
attribute [instance 100] RCLike.toDecidableEq
end
variable {K E : Type*} [RCLike K]
namespace RCLike
/-- Coercion from `ℝ` to an `RCLike` field. -/
@[coe] abbrev ofReal : ℝ → K := Algebra.cast
/- The priority must be set at 900 to ensure that coercions are tried in the right order.
See Note [coercion into rings], or `Mathlib/Data/Nat/Cast/Basic.lean` for more details. -/
noncomputable instance (priority := 900) algebraMapCoe : CoeTC ℝ K :=
⟨ofReal⟩
theorem ofReal_alg (x : ℝ) : (x : K) = x • (1 : K) :=
Algebra.algebraMap_eq_smul_one x
theorem real_smul_eq_coe_mul (r : ℝ) (z : K) : r • z = (r : K) * z :=
Algebra.smul_def r z
theorem real_smul_eq_coe_smul [AddCommGroup E] [Module K E] [Module ℝ E] [IsScalarTower ℝ K E]
(r : ℝ) (x : E) : r • x = (r : K) • x := by rw [RCLike.ofReal_alg, smul_one_smul]
theorem algebraMap_eq_ofReal : ⇑(algebraMap ℝ K) = ofReal :=
rfl
@[simp, rclike_simps]
theorem re_add_im (z : K) : (re z : K) + im z * I = z :=
RCLike.re_add_im_ax z
@[simp, norm_cast, rclike_simps]
theorem ofReal_re : ∀ r : ℝ, re (r : K) = r :=
RCLike.ofReal_re_ax
@[simp, norm_cast, rclike_simps]
theorem ofReal_im : ∀ r : ℝ, im (r : K) = 0 :=
RCLike.ofReal_im_ax
@[simp, rclike_simps]
theorem mul_re : ∀ z w : K, re (z * w) = re z * re w - im z * im w :=
RCLike.mul_re_ax
@[simp, rclike_simps]
theorem mul_im : ∀ z w : K, im (z * w) = re z * im w + im z * re w :=
RCLike.mul_im_ax
theorem ext_iff {z w : K} : z = w ↔ re z = re w ∧ im z = im w :=
⟨fun h => h ▸ ⟨rfl, rfl⟩, fun ⟨h₁, h₂⟩ => re_add_im z ▸ re_add_im w ▸ h₁ ▸ h₂ ▸ rfl⟩
theorem ext {z w : K} (hre : re z = re w) (him : im z = im w) : z = w :=
ext_iff.2 ⟨hre, him⟩
@[norm_cast]
theorem ofReal_zero : ((0 : ℝ) : K) = 0 :=
algebraMap.coe_zero
@[rclike_simps]
theorem zero_re' : re (0 : K) = (0 : ℝ) :=
map_zero re
@[norm_cast]
theorem ofReal_one : ((1 : ℝ) : K) = 1 :=
map_one (algebraMap ℝ K)
@[simp, rclike_simps]
theorem one_re : re (1 : K) = 1 := by rw [← ofReal_one, ofReal_re]
@[simp, rclike_simps]
theorem one_im : im (1 : K) = 0 := by rw [← ofReal_one, ofReal_im]
theorem ofReal_injective : Function.Injective ((↑) : ℝ → K) :=
(algebraMap ℝ K).injective
@[norm_cast]
theorem ofReal_inj {z w : ℝ} : (z : K) = (w : K) ↔ z = w :=
algebraMap.coe_inj
-- replaced by `RCLike.ofNat_re`
-- replaced by `RCLike.ofNat_im`
theorem ofReal_eq_zero {x : ℝ} : (x : K) = 0 ↔ x = 0 :=
algebraMap.lift_map_eq_zero_iff x
theorem ofReal_ne_zero {x : ℝ} : (x : K) ≠ 0 ↔ x ≠ 0 :=
ofReal_eq_zero.not
@[rclike_simps, norm_cast]
theorem ofReal_add (r s : ℝ) : ((r + s : ℝ) : K) = r + s :=
algebraMap.coe_add _ _
-- replaced by `RCLike.ofReal_ofNat`
@[rclike_simps, norm_cast]
theorem ofReal_neg (r : ℝ) : ((-r : ℝ) : K) = -r :=
algebraMap.coe_neg r
@[rclike_simps, norm_cast]
theorem ofReal_sub (r s : ℝ) : ((r - s : ℝ) : K) = r - s :=
map_sub (algebraMap ℝ K) r s
@[rclike_simps, norm_cast]
theorem ofReal_sum {α : Type*} (s : Finset α) (f : α → ℝ) :
((∑ i ∈ s, f i : ℝ) : K) = ∑ i ∈ s, (f i : K) :=
map_sum (algebraMap ℝ K) _ _
@[simp, rclike_simps, norm_cast]
theorem ofReal_finsupp_sum {α M : Type*} [Zero M] (f : α →₀ M) (g : α → M → ℝ) :
((f.sum fun a b => g a b : ℝ) : K) = f.sum fun a b => (g a b : K) :=
map_finsuppSum (algebraMap ℝ K) f g
@[rclike_simps, norm_cast]
theorem ofReal_mul (r s : ℝ) : ((r * s : ℝ) : K) = r * s :=
algebraMap.coe_mul _ _
@[rclike_simps, norm_cast]
theorem ofReal_pow (r : ℝ) (n : ℕ) : ((r ^ n : ℝ) : K) = (r : K) ^ n :=
map_pow (algebraMap ℝ K) r n
@[rclike_simps, norm_cast]
theorem ofReal_prod {α : Type*} (s : Finset α) (f : α → ℝ) :
((∏ i ∈ s, f i : ℝ) : K) = ∏ i ∈ s, (f i : K) :=
map_prod (algebraMap ℝ K) _ _
@[simp, rclike_simps, norm_cast]
theorem ofReal_finsuppProd {α M : Type*} [Zero M] (f : α →₀ M) (g : α → M → ℝ) :
((f.prod fun a b => g a b : ℝ) : K) = f.prod fun a b => (g a b : K) :=
map_finsuppProd _ f g
@[deprecated (since := "2025-04-06")] alias ofReal_finsupp_prod := ofReal_finsuppProd
@[simp, norm_cast, rclike_simps]
theorem real_smul_ofReal (r x : ℝ) : r • (x : K) = (r : K) * (x : K) :=
real_smul_eq_coe_mul _ _
@[rclike_simps]
theorem re_ofReal_mul (r : ℝ) (z : K) : re (↑r * z) = r * re z := by
simp only [mul_re, ofReal_im, zero_mul, ofReal_re, sub_zero]
@[rclike_simps]
theorem im_ofReal_mul (r : ℝ) (z : K) : im (↑r * z) = r * im z := by
simp only [add_zero, ofReal_im, zero_mul, ofReal_re, mul_im]
@[rclike_simps]
theorem smul_re (r : ℝ) (z : K) : re (r • z) = r * re z := by
rw [real_smul_eq_coe_mul, re_ofReal_mul]
@[rclike_simps]
theorem smul_im (r : ℝ) (z : K) : im (r • z) = r * im z := by
rw [real_smul_eq_coe_mul, im_ofReal_mul]
@[rclike_simps, norm_cast]
theorem norm_ofReal (r : ℝ) : ‖(r : K)‖ = |r| :=
norm_algebraMap' K r
/-! ### Characteristic zero -/
-- see Note [lower instance priority]
/-- ℝ and ℂ are both of characteristic zero. -/
instance (priority := 100) charZero_rclike : CharZero K :=
(RingHom.charZero_iff (algebraMap ℝ K).injective).1 inferInstance
@[rclike_simps, norm_cast]
lemma ofReal_expect {α : Type*} (s : Finset α) (f : α → ℝ) : 𝔼 i ∈ s, f i = 𝔼 i ∈ s, (f i : K) :=
map_expect (algebraMap ..) ..
@[norm_cast]
lemma ofReal_balance {ι : Type*} [Fintype ι] (f : ι → ℝ) (i : ι) :
((balance f i : ℝ) : K) = balance ((↑) ∘ f) i := map_balance (algebraMap ..) ..
@[simp] lemma ofReal_comp_balance {ι : Type*} [Fintype ι] (f : ι → ℝ) :
ofReal ∘ balance f = balance (ofReal ∘ f : ι → K) := funext <| ofReal_balance _
/-! ### The imaginary unit, `I` -/
/-- The imaginary unit. -/
@[simp, rclike_simps]
theorem I_re : re (I : K) = 0 :=
I_re_ax
@[simp, rclike_simps]
theorem I_im (z : K) : im z * im (I : K) = im z :=
mul_im_I_ax z
@[simp, rclike_simps]
theorem I_im' (z : K) : im (I : K) * im z = im z := by rw [mul_comm, I_im]
@[rclike_simps] -- Porting note (https://github.com/leanprover-community/mathlib4/issues/11119): was `simp`
theorem I_mul_re (z : K) : re (I * z) = -im z := by
simp only [I_re, zero_sub, I_im', zero_mul, mul_re]
theorem I_mul_I : (I : K) = 0 ∨ (I : K) * I = -1 :=
I_mul_I_ax
variable (𝕜) in
lemma I_eq_zero_or_im_I_eq_one : (I : K) = 0 ∨ im (I : K) = 1 :=
I_mul_I (K := K) |>.imp_right fun h ↦ by simpa [h] using (I_mul_re (I : K)).symm
@[simp, rclike_simps]
theorem conj_re (z : K) : re (conj z) = re z :=
RCLike.conj_re_ax z
@[simp, rclike_simps]
theorem conj_im (z : K) : im (conj z) = -im z :=
RCLike.conj_im_ax z
@[simp, rclike_simps]
theorem conj_I : conj (I : K) = -I :=
RCLike.conj_I_ax
@[simp, rclike_simps]
theorem conj_ofReal (r : ℝ) : conj (r : K) = (r : K) := by
rw [ext_iff]
simp only [ofReal_im, conj_im, eq_self_iff_true, conj_re, and_self_iff, neg_zero]
-- replaced by `RCLike.conj_ofNat`
theorem conj_nat_cast (n : ℕ) : conj (n : K) = n := map_natCast _ _
theorem conj_ofNat (n : ℕ) [n.AtLeastTwo] : conj (ofNat(n) : K) = ofNat(n) :=
map_ofNat _ _
@[rclike_simps, simp]
theorem conj_neg_I : conj (-I) = (I : K) := by rw [map_neg, conj_I, neg_neg]
|
theorem conj_eq_re_sub_im (z : K) : conj z = re z - im z * I :=
| Mathlib/Analysis/RCLike/Basic.lean | 307 | 308 |
/-
Copyright (c) 2020 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying
-/
import Mathlib.Algebra.Group.Conj
import Mathlib.Algebra.Group.Pi.Lemmas
import Mathlib.Algebra.Group.Subgroup.Ker
/-!
# Basic results on subgroups
We prove basic results on the definitions of subgroups. The bundled subgroups use bundled monoid
homomorphisms.
Special thanks goes to Amelia Livingston and Yury Kudryashov for their help and inspiration.
## Main definitions
Notation used here:
- `G N` are `Group`s
- `A` is an `AddGroup`
- `H K` are `Subgroup`s of `G` or `AddSubgroup`s of `A`
- `x` is an element of type `G` or type `A`
- `f g : N →* G` are group homomorphisms
- `s k` are sets of elements of type `G`
Definitions in the file:
* `Subgroup.prod H K` : the product of subgroups `H`, `K` of groups `G`, `N` respectively, `H × K`
is a subgroup of `G × N`
## Implementation notes
Subgroup inclusion is denoted `≤` rather than `⊆`, although `∈` is defined as
membership of a subgroup's underlying set.
## Tags
subgroup, subgroups
-/
assert_not_exists OrderedAddCommMonoid Multiset Ring
open Function
open scoped Int
variable {G G' G'' : Type*} [Group G] [Group G'] [Group G'']
variable {A : Type*} [AddGroup A]
section SubgroupClass
variable {M S : Type*} [DivInvMonoid M] [SetLike S M] [hSM : SubgroupClass S M] {H K : S}
variable [SetLike S G] [SubgroupClass S G]
@[to_additive]
theorem div_mem_comm_iff {a b : G} : a / b ∈ H ↔ b / a ∈ H :=
inv_div b a ▸ inv_mem_iff
end SubgroupClass
namespace Subgroup
variable (H K : Subgroup G)
@[to_additive]
protected theorem div_mem_comm_iff {a b : G} : a / b ∈ H ↔ b / a ∈ H :=
div_mem_comm_iff
variable {k : Set G}
open Set
variable {N : Type*} [Group N] {P : Type*} [Group P]
/-- Given `Subgroup`s `H`, `K` of groups `G`, `N` respectively, `H × K` as a subgroup of `G × N`. -/
@[to_additive prod
"Given `AddSubgroup`s `H`, `K` of `AddGroup`s `A`, `B` respectively, `H × K`
as an `AddSubgroup` of `A × B`."]
def prod (H : Subgroup G) (K : Subgroup N) : Subgroup (G × N) :=
{ Submonoid.prod H.toSubmonoid K.toSubmonoid with
inv_mem' := fun hx => ⟨H.inv_mem' hx.1, K.inv_mem' hx.2⟩ }
@[to_additive coe_prod]
theorem coe_prod (H : Subgroup G) (K : Subgroup N) :
(H.prod K : Set (G × N)) = (H : Set G) ×ˢ (K : Set N) :=
rfl
@[to_additive mem_prod]
theorem mem_prod {H : Subgroup G} {K : Subgroup N} {p : G × N} : p ∈ H.prod K ↔ p.1 ∈ H ∧ p.2 ∈ K :=
Iff.rfl
open scoped Relator in
@[to_additive prod_mono]
theorem prod_mono : ((· ≤ ·) ⇒ (· ≤ ·) ⇒ (· ≤ ·)) (@prod G _ N _) (@prod G _ N _) :=
fun _s _s' hs _t _t' ht => Set.prod_mono hs ht
@[to_additive prod_mono_right]
theorem prod_mono_right (K : Subgroup G) : Monotone fun t : Subgroup N => K.prod t :=
prod_mono (le_refl K)
@[to_additive prod_mono_left]
theorem prod_mono_left (H : Subgroup N) : Monotone fun K : Subgroup G => K.prod H := fun _ _ hs =>
prod_mono hs (le_refl H)
@[to_additive prod_top]
theorem prod_top (K : Subgroup G) : K.prod (⊤ : Subgroup N) = K.comap (MonoidHom.fst G N) :=
ext fun x => by simp [mem_prod, MonoidHom.coe_fst]
@[to_additive top_prod]
theorem top_prod (H : Subgroup N) : (⊤ : Subgroup G).prod H = H.comap (MonoidHom.snd G N) :=
ext fun x => by simp [mem_prod, MonoidHom.coe_snd]
@[to_additive (attr := simp) top_prod_top]
theorem top_prod_top : (⊤ : Subgroup G).prod (⊤ : Subgroup N) = ⊤ :=
(top_prod _).trans <| comap_top _
@[to_additive (attr := simp) bot_prod_bot]
theorem bot_prod_bot : (⊥ : Subgroup G).prod (⊥ : Subgroup N) = ⊥ :=
SetLike.coe_injective <| by simp [coe_prod]
@[deprecated (since := "2025-03-11")]
alias _root_.AddSubgroup.bot_sum_bot := AddSubgroup.bot_prod_bot
@[to_additive le_prod_iff]
theorem le_prod_iff {H : Subgroup G} {K : Subgroup N} {J : Subgroup (G × N)} :
J ≤ H.prod K ↔ map (MonoidHom.fst G N) J ≤ H ∧ map (MonoidHom.snd G N) J ≤ K := by
simpa only [← Subgroup.toSubmonoid_le] using Submonoid.le_prod_iff
@[to_additive prod_le_iff]
theorem prod_le_iff {H : Subgroup G} {K : Subgroup N} {J : Subgroup (G × N)} :
H.prod K ≤ J ↔ map (MonoidHom.inl G N) H ≤ J ∧ map (MonoidHom.inr G N) K ≤ J := by
simpa only [← Subgroup.toSubmonoid_le] using Submonoid.prod_le_iff
@[to_additive (attr := simp) prod_eq_bot_iff]
theorem prod_eq_bot_iff {H : Subgroup G} {K : Subgroup N} : H.prod K = ⊥ ↔ H = ⊥ ∧ K = ⊥ := by
simpa only [← Subgroup.toSubmonoid_inj] using Submonoid.prod_eq_bot_iff
@[to_additive closure_prod]
theorem closure_prod {s : Set G} {t : Set N} (hs : 1 ∈ s) (ht : 1 ∈ t) :
closure (s ×ˢ t) = (closure s).prod (closure t) :=
le_antisymm
(closure_le _ |>.2 <| Set.prod_subset_prod_iff.2 <| .inl ⟨subset_closure, subset_closure⟩)
(prod_le_iff.2 ⟨
map_le_iff_le_comap.2 <| closure_le _ |>.2 fun _x hx => subset_closure ⟨hx, ht⟩,
map_le_iff_le_comap.2 <| closure_le _ |>.2 fun _y hy => subset_closure ⟨hs, hy⟩⟩)
/-- Product of subgroups is isomorphic to their product as groups. -/
@[to_additive prodEquiv
"Product of additive subgroups is isomorphic to their product
as additive groups"]
def prodEquiv (H : Subgroup G) (K : Subgroup N) : H.prod K ≃* H × K :=
{ Equiv.Set.prod (H : Set G) (K : Set N) with map_mul' := fun _ _ => rfl }
section Pi
variable {η : Type*} {f : η → Type*}
-- defined here and not in Algebra.Group.Submonoid.Operations to have access to Algebra.Group.Pi
/-- A version of `Set.pi` for submonoids. Given an index set `I` and a family of submodules
`s : Π i, Submonoid f i`, `pi I s` is the submonoid of dependent functions `f : Π i, f i` such that
`f i` belongs to `Pi I s` whenever `i ∈ I`. -/
@[to_additive "A version of `Set.pi` for `AddSubmonoid`s. Given an index set `I` and a family
of submodules `s : Π i, AddSubmonoid f i`, `pi I s` is the `AddSubmonoid` of dependent functions
`f : Π i, f i` such that `f i` belongs to `pi I s` whenever `i ∈ I`."]
def _root_.Submonoid.pi [∀ i, MulOneClass (f i)] (I : Set η) (s : ∀ i, Submonoid (f i)) :
Submonoid (∀ i, f i) where
carrier := I.pi fun i => (s i).carrier
one_mem' i _ := (s i).one_mem
mul_mem' hp hq i hI := (s i).mul_mem (hp i hI) (hq i hI)
variable [∀ i, Group (f i)]
/-- A version of `Set.pi` for subgroups. Given an index set `I` and a family of submodules
`s : Π i, Subgroup f i`, `pi I s` is the subgroup of dependent functions `f : Π i, f i` such that
`f i` belongs to `pi I s` whenever `i ∈ I`. -/
@[to_additive
"A version of `Set.pi` for `AddSubgroup`s. Given an index set `I` and a family
of submodules `s : Π i, AddSubgroup f i`, `pi I s` is the `AddSubgroup` of dependent functions
`f : Π i, f i` such that `f i` belongs to `pi I s` whenever `i ∈ I`."]
def pi (I : Set η) (H : ∀ i, Subgroup (f i)) : Subgroup (∀ i, f i) :=
{ Submonoid.pi I fun i => (H i).toSubmonoid with
inv_mem' := fun hp i hI => (H i).inv_mem (hp i hI) }
@[to_additive]
theorem coe_pi (I : Set η) (H : ∀ i, Subgroup (f i)) :
(pi I H : Set (∀ i, f i)) = Set.pi I fun i => (H i : Set (f i)) :=
rfl
@[to_additive]
theorem mem_pi (I : Set η) {H : ∀ i, Subgroup (f i)} {p : ∀ i, f i} :
p ∈ pi I H ↔ ∀ i : η, i ∈ I → p i ∈ H i :=
Iff.rfl
@[to_additive]
theorem pi_top (I : Set η) : (pi I fun i => (⊤ : Subgroup (f i))) = ⊤ :=
ext fun x => by simp [mem_pi]
@[to_additive]
theorem pi_empty (H : ∀ i, Subgroup (f i)) : pi ∅ H = ⊤ :=
ext fun x => by simp [mem_pi]
@[to_additive]
theorem pi_bot : (pi Set.univ fun i => (⊥ : Subgroup (f i))) = ⊥ :=
(eq_bot_iff_forall _).mpr fun p hp => by
simp only [mem_pi, mem_bot] at *
ext j
exact hp j trivial
@[to_additive]
theorem le_pi_iff {I : Set η} {H : ∀ i, Subgroup (f i)} {J : Subgroup (∀ i, f i)} :
J ≤ pi I H ↔ ∀ i : η, i ∈ I → map (Pi.evalMonoidHom f i) J ≤ H i := by
constructor
· intro h i hi
rintro _ ⟨x, hx, rfl⟩
exact (h hx) _ hi
· intro h x hx i hi
exact h i hi ⟨_, hx, rfl⟩
@[to_additive (attr := simp)]
theorem mulSingle_mem_pi [DecidableEq η] {I : Set η} {H : ∀ i, Subgroup (f i)} (i : η) (x : f i) :
Pi.mulSingle i x ∈ pi I H ↔ i ∈ I → x ∈ H i := by
constructor
· intro h hi
simpa using h i hi
· intro h j hj
by_cases heq : j = i
· subst heq
simpa using h hj
· simp [heq, one_mem]
@[to_additive]
theorem pi_eq_bot_iff (H : ∀ i, Subgroup (f i)) : pi Set.univ H = ⊥ ↔ ∀ i, H i = ⊥ := by
classical
simp only [eq_bot_iff_forall]
constructor
· intro h i x hx
have : MonoidHom.mulSingle f i x = 1 :=
h (MonoidHom.mulSingle f i x) ((mulSingle_mem_pi i x).mpr fun _ => hx)
simpa using congr_fun this i
· exact fun h x hx => funext fun i => h _ _ (hx i trivial)
end Pi
end Subgroup
namespace Subgroup
variable {H K : Subgroup G}
variable (H)
/-- A subgroup is characteristic if it is fixed by all automorphisms.
Several equivalent conditions are provided by lemmas of the form `Characteristic.iff...` -/
structure Characteristic : Prop where
/-- `H` is fixed by all automorphisms -/
fixed : ∀ ϕ : G ≃* G, H.comap ϕ.toMonoidHom = H
attribute [class] Characteristic
instance (priority := 100) normal_of_characteristic [h : H.Characteristic] : H.Normal :=
⟨fun a ha b => (SetLike.ext_iff.mp (h.fixed (MulAut.conj b)) a).mpr ha⟩
end Subgroup
namespace AddSubgroup
variable (H : AddSubgroup A)
/-- An `AddSubgroup` is characteristic if it is fixed by all automorphisms.
Several equivalent conditions are provided by lemmas of the form `Characteristic.iff...` -/
structure Characteristic : Prop where
/-- `H` is fixed by all automorphisms -/
fixed : ∀ ϕ : A ≃+ A, H.comap ϕ.toAddMonoidHom = H
attribute [to_additive] Subgroup.Characteristic
attribute [class] Characteristic
instance (priority := 100) normal_of_characteristic [h : H.Characteristic] : H.Normal :=
⟨fun a ha b => (SetLike.ext_iff.mp (h.fixed (AddAut.conj b)) a).mpr ha⟩
end AddSubgroup
namespace Subgroup
variable {H K : Subgroup G}
@[to_additive]
theorem characteristic_iff_comap_eq : H.Characteristic ↔ ∀ ϕ : G ≃* G, H.comap ϕ.toMonoidHom = H :=
⟨Characteristic.fixed, Characteristic.mk⟩
@[to_additive]
theorem characteristic_iff_comap_le : H.Characteristic ↔ ∀ ϕ : G ≃* G, H.comap ϕ.toMonoidHom ≤ H :=
characteristic_iff_comap_eq.trans
⟨fun h ϕ => le_of_eq (h ϕ), fun h ϕ =>
le_antisymm (h ϕ) fun g hg => h ϕ.symm ((congr_arg (· ∈ H) (ϕ.symm_apply_apply g)).mpr hg)⟩
@[to_additive]
theorem characteristic_iff_le_comap : H.Characteristic ↔ ∀ ϕ : G ≃* G, H ≤ H.comap ϕ.toMonoidHom :=
characteristic_iff_comap_eq.trans
⟨fun h ϕ => ge_of_eq (h ϕ), fun h ϕ =>
le_antisymm (fun g hg => (congr_arg (· ∈ H) (ϕ.symm_apply_apply g)).mp (h ϕ.symm hg)) (h ϕ)⟩
@[to_additive]
theorem characteristic_iff_map_eq : H.Characteristic ↔ ∀ ϕ : G ≃* G, H.map ϕ.toMonoidHom = H := by
simp_rw [map_equiv_eq_comap_symm']
exact characteristic_iff_comap_eq.trans ⟨fun h ϕ => h ϕ.symm, fun h ϕ => h ϕ.symm⟩
@[to_additive]
theorem characteristic_iff_map_le : H.Characteristic ↔ ∀ ϕ : G ≃* G, H.map ϕ.toMonoidHom ≤ H := by
simp_rw [map_equiv_eq_comap_symm']
exact characteristic_iff_comap_le.trans ⟨fun h ϕ => h ϕ.symm, fun h ϕ => h ϕ.symm⟩
@[to_additive]
theorem characteristic_iff_le_map : H.Characteristic ↔ ∀ ϕ : G ≃* G, H ≤ H.map ϕ.toMonoidHom := by
simp_rw [map_equiv_eq_comap_symm']
exact characteristic_iff_le_comap.trans ⟨fun h ϕ => h ϕ.symm, fun h ϕ => h ϕ.symm⟩
@[to_additive]
instance botCharacteristic : Characteristic (⊥ : Subgroup G) :=
characteristic_iff_le_map.mpr fun _ϕ => bot_le
@[to_additive]
instance topCharacteristic : Characteristic (⊤ : Subgroup G) :=
characteristic_iff_map_le.mpr fun _ϕ => le_top
variable (H)
section Normalizer
variable {H}
@[to_additive]
theorem normalizer_eq_top_iff : H.normalizer = ⊤ ↔ H.Normal :=
eq_top_iff.trans
⟨fun h => ⟨fun a ha b => (h (mem_top b) a).mp ha⟩, fun h a _ha b =>
⟨fun hb => h.conj_mem b hb a, fun hb => by rwa [h.mem_comm_iff, inv_mul_cancel_left] at hb⟩⟩
variable (H) in
@[to_additive]
theorem normalizer_eq_top [h : H.Normal] : H.normalizer = ⊤ :=
normalizer_eq_top_iff.mpr h
variable {N : Type*} [Group N]
/-- The preimage of the normalizer is contained in the normalizer of the preimage. -/
@[to_additive "The preimage of the normalizer is contained in the normalizer of the preimage."]
theorem le_normalizer_comap (f : N →* G) :
H.normalizer.comap f ≤ (H.comap f).normalizer := fun x => by
simp only [mem_normalizer_iff, mem_comap]
intro h n
simp [h (f n)]
/-- The image of the normalizer is contained in the normalizer of the image. -/
@[to_additive "The image of the normalizer is contained in the normalizer of the image."]
theorem le_normalizer_map (f : G →* N) : H.normalizer.map f ≤ (H.map f).normalizer := fun _ => by
simp only [and_imp, exists_prop, mem_map, exists_imp, mem_normalizer_iff]
rintro x hx rfl n
constructor
· rintro ⟨y, hy, rfl⟩
use x * y * x⁻¹, (hx y).1 hy
simp
· rintro ⟨y, hyH, hy⟩
use x⁻¹ * y * x
rw [hx]
simp [hy, hyH, mul_assoc]
@[to_additive]
theorem comap_normalizer_eq_of_le_range {f : N →* G} (h : H ≤ f.range) :
comap f H.normalizer = (comap f H).normalizer := by
apply le_antisymm (le_normalizer_comap f)
rw [← map_le_iff_le_comap]
apply (le_normalizer_map f).trans
rw [map_comap_eq_self h]
@[to_additive]
theorem subgroupOf_normalizer_eq {H N : Subgroup G} (h : H ≤ N) :
H.normalizer.subgroupOf N = (H.subgroupOf N).normalizer :=
comap_normalizer_eq_of_le_range (h.trans_eq N.range_subtype.symm)
@[to_additive]
theorem normal_subgroupOf_iff_le_normalizer (h : H ≤ K) :
(H.subgroupOf K).Normal ↔ K ≤ H.normalizer := by
rw [← subgroupOf_eq_top, subgroupOf_normalizer_eq h, normalizer_eq_top_iff]
@[to_additive]
theorem normal_subgroupOf_iff_le_normalizer_inf :
(H.subgroupOf K).Normal ↔ K ≤ (H ⊓ K).normalizer :=
inf_subgroupOf_right H K ▸ normal_subgroupOf_iff_le_normalizer inf_le_right
@[to_additive]
instance (priority := 100) normal_in_normalizer : (H.subgroupOf H.normalizer).Normal :=
(normal_subgroupOf_iff_le_normalizer H.le_normalizer).mpr le_rfl
@[to_additive]
theorem le_normalizer_of_normal_subgroupOf [hK : (H.subgroupOf K).Normal] (HK : H ≤ K) :
K ≤ H.normalizer :=
(normal_subgroupOf_iff_le_normalizer HK).mp hK
@[to_additive]
theorem subset_normalizer_of_normal {S : Set G} [hH : H.Normal] : S ⊆ H.normalizer :=
(@normalizer_eq_top _ _ H hH) ▸ le_top
@[to_additive]
theorem le_normalizer_of_normal [H.Normal] : K ≤ H.normalizer := subset_normalizer_of_normal
@[to_additive]
theorem inf_normalizer_le_normalizer_inf : H.normalizer ⊓ K.normalizer ≤ (H ⊓ K).normalizer :=
fun _ h g ↦ and_congr (h.1 g) (h.2 g)
variable (G) in
/-- Every proper subgroup `H` of `G` is a proper normal subgroup of the normalizer of `H` in `G`. -/
def _root_.NormalizerCondition :=
∀ H : Subgroup G, H < ⊤ → H < normalizer H
/-- Alternative phrasing of the normalizer condition: Only the full group is self-normalizing.
This may be easier to work with, as it avoids inequalities and negations. -/
theorem _root_.normalizerCondition_iff_only_full_group_self_normalizing :
NormalizerCondition G ↔ ∀ H : Subgroup G, H.normalizer = H → H = ⊤ := by
apply forall_congr'; intro H
simp only [lt_iff_le_and_ne, le_normalizer, le_top, Ne]
tauto
variable (H)
end Normalizer
end Subgroup
namespace Group
variable {s : Set G}
/-- Given a set `s`, `conjugatesOfSet s` is the set of all conjugates of
the elements of `s`. -/
def conjugatesOfSet (s : Set G) : Set G :=
⋃ a ∈ s, conjugatesOf a
theorem mem_conjugatesOfSet_iff {x : G} : x ∈ conjugatesOfSet s ↔ ∃ a ∈ s, IsConj a x := by
rw [conjugatesOfSet, Set.mem_iUnion₂]
simp only [conjugatesOf, isConj_iff, Set.mem_setOf_eq, exists_prop]
theorem subset_conjugatesOfSet : s ⊆ conjugatesOfSet s := fun (x : G) (h : x ∈ s) =>
mem_conjugatesOfSet_iff.2 ⟨x, h, IsConj.refl _⟩
theorem conjugatesOfSet_mono {s t : Set G} (h : s ⊆ t) : conjugatesOfSet s ⊆ conjugatesOfSet t :=
Set.biUnion_subset_biUnion_left h
theorem conjugates_subset_normal {N : Subgroup G} [tn : N.Normal] {a : G} (h : a ∈ N) :
conjugatesOf a ⊆ N := by
rintro a hc
obtain ⟨c, rfl⟩ := isConj_iff.1 hc
exact tn.conj_mem a h c
theorem conjugatesOfSet_subset {s : Set G} {N : Subgroup G} [N.Normal] (h : s ⊆ N) :
conjugatesOfSet s ⊆ N :=
Set.iUnion₂_subset fun _x H => conjugates_subset_normal (h H)
/-- The set of conjugates of `s` is closed under conjugation. -/
theorem conj_mem_conjugatesOfSet {x c : G} :
x ∈ conjugatesOfSet s → c * x * c⁻¹ ∈ conjugatesOfSet s := fun H => by
rcases mem_conjugatesOfSet_iff.1 H with ⟨a, h₁, h₂⟩
exact mem_conjugatesOfSet_iff.2 ⟨a, h₁, h₂.trans (isConj_iff.2 ⟨c, rfl⟩)⟩
end Group
namespace Subgroup
open Group
variable {s : Set G}
/-- The normal closure of a set `s` is the subgroup closure of all the conjugates of
elements of `s`. It is the smallest normal subgroup containing `s`. -/
def normalClosure (s : Set G) : Subgroup G :=
closure (conjugatesOfSet s)
theorem conjugatesOfSet_subset_normalClosure : conjugatesOfSet s ⊆ normalClosure s :=
subset_closure
theorem subset_normalClosure : s ⊆ normalClosure s :=
Set.Subset.trans subset_conjugatesOfSet conjugatesOfSet_subset_normalClosure
theorem le_normalClosure {H : Subgroup G} : H ≤ normalClosure ↑H := fun _ h =>
subset_normalClosure h
/-- The normal closure of `s` is a normal subgroup. -/
instance normalClosure_normal : (normalClosure s).Normal :=
⟨fun n h g => by
refine Subgroup.closure_induction (fun x hx => ?_) ?_ (fun x y _ _ ihx ihy => ?_)
(fun x _ ihx => ?_) h
· exact conjugatesOfSet_subset_normalClosure (conj_mem_conjugatesOfSet hx)
· simpa using (normalClosure s).one_mem
· rw [← conj_mul]
exact mul_mem ihx ihy
· rw [← conj_inv]
exact inv_mem ihx⟩
/-- The normal closure of `s` is the smallest normal subgroup containing `s`. -/
theorem normalClosure_le_normal {N : Subgroup G} [N.Normal] (h : s ⊆ N) : normalClosure s ≤ N := by
intro a w
refine closure_induction (fun x hx => ?_) ?_ (fun x y _ _ ihx ihy => ?_) (fun x _ ihx => ?_) w
· exact conjugatesOfSet_subset h hx
· exact one_mem _
· exact mul_mem ihx ihy
· exact inv_mem ihx
theorem normalClosure_subset_iff {N : Subgroup G} [N.Normal] : s ⊆ N ↔ normalClosure s ≤ N :=
⟨normalClosure_le_normal, Set.Subset.trans subset_normalClosure⟩
@[gcongr]
theorem normalClosure_mono {s t : Set G} (h : s ⊆ t) : normalClosure s ≤ normalClosure t :=
normalClosure_le_normal (Set.Subset.trans h subset_normalClosure)
theorem normalClosure_eq_iInf :
normalClosure s = ⨅ (N : Subgroup G) (_ : Normal N) (_ : s ⊆ N), N :=
le_antisymm (le_iInf fun _ => le_iInf fun _ => le_iInf normalClosure_le_normal)
(iInf_le_of_le (normalClosure s)
(iInf_le_of_le (by infer_instance) (iInf_le_of_le subset_normalClosure le_rfl)))
@[simp]
theorem normalClosure_eq_self (H : Subgroup G) [H.Normal] : normalClosure ↑H = H :=
le_antisymm (normalClosure_le_normal rfl.subset) le_normalClosure
theorem normalClosure_idempotent : normalClosure ↑(normalClosure s) = normalClosure s :=
normalClosure_eq_self _
theorem closure_le_normalClosure {s : Set G} : closure s ≤ normalClosure s := by
simp only [subset_normalClosure, closure_le]
@[simp]
theorem normalClosure_closure_eq_normalClosure {s : Set G} :
normalClosure ↑(closure s) = normalClosure s :=
le_antisymm (normalClosure_le_normal closure_le_normalClosure) (normalClosure_mono subset_closure)
/-- The normal core of a subgroup `H` is the largest normal subgroup of `G` contained in `H`,
as shown by `Subgroup.normalCore_eq_iSup`. -/
def normalCore (H : Subgroup G) : Subgroup G where
carrier := { a : G | ∀ b : G, b * a * b⁻¹ ∈ H }
one_mem' a := by rw [mul_one, mul_inv_cancel]; exact H.one_mem
inv_mem' {_} h b := (congr_arg (· ∈ H) conj_inv).mp (H.inv_mem (h b))
mul_mem' {_ _} ha hb c := (congr_arg (· ∈ H) conj_mul).mp (H.mul_mem (ha c) (hb c))
theorem normalCore_le (H : Subgroup G) : H.normalCore ≤ H := fun a h => by
rw [← mul_one a, ← inv_one, ← one_mul a]
exact h 1
instance normalCore_normal (H : Subgroup G) : H.normalCore.Normal :=
⟨fun a h b c => by
rw [mul_assoc, mul_assoc, ← mul_inv_rev, ← mul_assoc, ← mul_assoc]; exact h (c * b)⟩
theorem normal_le_normalCore {H : Subgroup G} {N : Subgroup G} [hN : N.Normal] :
N ≤ H.normalCore ↔ N ≤ H :=
⟨ge_trans H.normalCore_le, fun h_le n hn g => h_le (hN.conj_mem n hn g)⟩
theorem normalCore_mono {H K : Subgroup G} (h : H ≤ K) : H.normalCore ≤ K.normalCore :=
normal_le_normalCore.mpr (H.normalCore_le.trans h)
theorem normalCore_eq_iSup (H : Subgroup G) :
H.normalCore = ⨆ (N : Subgroup G) (_ : Normal N) (_ : N ≤ H), N :=
le_antisymm
(le_iSup_of_le H.normalCore
(le_iSup_of_le H.normalCore_normal (le_iSup_of_le H.normalCore_le le_rfl)))
(iSup_le fun _ => iSup_le fun _ => iSup_le normal_le_normalCore.mpr)
@[simp]
theorem normalCore_eq_self (H : Subgroup G) [H.Normal] : H.normalCore = H :=
le_antisymm H.normalCore_le (normal_le_normalCore.mpr le_rfl)
theorem normalCore_idempotent (H : Subgroup G) : H.normalCore.normalCore = H.normalCore :=
H.normalCore.normalCore_eq_self
end Subgroup
namespace MonoidHom
variable {N : Type*} {P : Type*} [Group N] [Group P] (K : Subgroup G)
open Subgroup
section Ker
variable {M : Type*} [MulOneClass M]
@[to_additive prodMap_comap_prod]
theorem prodMap_comap_prod {G' : Type*} {N' : Type*} [Group G'] [Group N'] (f : G →* N)
(g : G' →* N') (S : Subgroup N) (S' : Subgroup N') :
(S.prod S').comap (prodMap f g) = (S.comap f).prod (S'.comap g) :=
SetLike.coe_injective <| Set.preimage_prod_map_prod f g _ _
@[deprecated (since := "2025-03-11")]
alias _root_.AddMonoidHom.sumMap_comap_sum := AddMonoidHom.prodMap_comap_prod
@[to_additive ker_prodMap]
theorem ker_prodMap {G' : Type*} {N' : Type*} [Group G'] [Group N'] (f : G →* N) (g : G' →* N') :
(prodMap f g).ker = f.ker.prod g.ker := by
rw [← comap_bot, ← comap_bot, ← comap_bot, ← prodMap_comap_prod, bot_prod_bot]
@[deprecated (since := "2025-03-11")]
alias _root_.AddMonoidHom.ker_sumMap := AddMonoidHom.ker_prodMap
@[to_additive (attr := simp)]
lemma ker_fst : ker (fst G G') = .prod ⊥ ⊤ := SetLike.ext fun _ => (iff_of_eq (and_true _)).symm
@[to_additive (attr := simp)]
lemma ker_snd : ker (snd G G') = .prod ⊤ ⊥ := SetLike.ext fun _ => (iff_of_eq (true_and _)).symm
end Ker
end MonoidHom
namespace Subgroup
variable {N : Type*} [Group N] (H : Subgroup G)
@[to_additive]
theorem Normal.map {H : Subgroup G} (h : H.Normal) (f : G →* N) (hf : Function.Surjective f) :
(H.map f).Normal := by
rw [← normalizer_eq_top_iff, ← top_le_iff, ← f.range_eq_top_of_surjective hf, f.range_eq_map,
← H.normalizer_eq_top]
exact le_normalizer_map _
end Subgroup
namespace Subgroup
open MonoidHom
variable {N : Type*} [Group N] (f : G →* N)
/-- The preimage of the normalizer is equal to the normalizer of the preimage of a surjective
function. -/
@[to_additive
"The preimage of the normalizer is equal to the normalizer of the preimage of
a surjective function."]
theorem comap_normalizer_eq_of_surjective (H : Subgroup G) {f : N →* G}
(hf : Function.Surjective f) : H.normalizer.comap f = (H.comap f).normalizer :=
comap_normalizer_eq_of_le_range fun x _ ↦ hf x
@[deprecated (since := "2025-03-13")]
alias comap_normalizer_eq_of_injective_of_le_range := comap_normalizer_eq_of_le_range
@[deprecated (since := "2025-03-13")]
alias _root_.AddSubgroup.comap_normalizer_eq_of_injective_of_le_range :=
AddSubgroup.comap_normalizer_eq_of_le_range
/-- The image of the normalizer is equal to the normalizer of the image of an isomorphism. -/
@[to_additive
"The image of the normalizer is equal to the normalizer of the image of an
isomorphism."]
theorem map_equiv_normalizer_eq (H : Subgroup G) (f : G ≃* N) :
H.normalizer.map f.toMonoidHom = (H.map f.toMonoidHom).normalizer := by
ext x
simp only [mem_normalizer_iff, mem_map_equiv]
rw [f.toEquiv.forall_congr]
intro
simp
/-- The image of the normalizer is equal to the normalizer of the image of a bijective
function. -/
@[to_additive
"The image of the normalizer is equal to the normalizer of the image of a bijective
function."]
theorem map_normalizer_eq_of_bijective (H : Subgroup G) {f : G →* N} (hf : Function.Bijective f) :
H.normalizer.map f = (H.map f).normalizer :=
map_equiv_normalizer_eq H (MulEquiv.ofBijective f hf)
end Subgroup
namespace MonoidHom
variable {G₁ G₂ G₃ : Type*} [Group G₁] [Group G₂] [Group G₃]
variable (f : G₁ →* G₂) (f_inv : G₂ → G₁)
/-- Auxiliary definition used to define `liftOfRightInverse` -/
@[to_additive "Auxiliary definition used to define `liftOfRightInverse`"]
def liftOfRightInverseAux (hf : Function.RightInverse f_inv f) (g : G₁ →* G₃) (hg : f.ker ≤ g.ker) :
G₂ →* G₃ where
toFun b := g (f_inv b)
map_one' := hg (hf 1)
map_mul' := by
intro x y
rw [← g.map_mul, ← mul_inv_eq_one, ← g.map_inv, ← g.map_mul, ← g.mem_ker]
apply hg
rw [f.mem_ker, f.map_mul, f.map_inv, mul_inv_eq_one, f.map_mul]
simp only [hf _]
@[to_additive (attr := simp)]
theorem liftOfRightInverseAux_comp_apply (hf : Function.RightInverse f_inv f) (g : G₁ →* G₃)
(hg : f.ker ≤ g.ker) (x : G₁) : (f.liftOfRightInverseAux f_inv hf g hg) (f x) = g x := by
dsimp [liftOfRightInverseAux]
rw [← mul_inv_eq_one, ← g.map_inv, ← g.map_mul, ← g.mem_ker]
apply hg
rw [f.mem_ker, f.map_mul, f.map_inv, mul_inv_eq_one]
simp only [hf _]
/-- `liftOfRightInverse f hf g hg` is the unique group homomorphism `φ`
* such that `φ.comp f = g` (`MonoidHom.liftOfRightInverse_comp`),
* where `f : G₁ →+* G₂` has a RightInverse `f_inv` (`hf`),
* and `g : G₂ →+* G₃` satisfies `hg : f.ker ≤ g.ker`.
See `MonoidHom.eq_liftOfRightInverse` for the uniqueness lemma.
```
G₁.
| \
f | \ g
| \
v \⌟
G₂----> G₃
∃!φ
```
-/
@[to_additive
"`liftOfRightInverse f f_inv hf g hg` is the unique additive group homomorphism `φ`
* such that `φ.comp f = g` (`AddMonoidHom.liftOfRightInverse_comp`),
* where `f : G₁ →+ G₂` has a RightInverse `f_inv` (`hf`),
* and `g : G₂ →+ G₃` satisfies `hg : f.ker ≤ g.ker`.
See `AddMonoidHom.eq_liftOfRightInverse` for the uniqueness lemma.
```
G₁.
| \\
f | \\ g
| \\
v \\⌟
G₂----> G₃
∃!φ
```"]
def liftOfRightInverse (hf : Function.RightInverse f_inv f) :
{ g : G₁ →* G₃ // f.ker ≤ g.ker } ≃ (G₂ →* G₃) where
toFun g := f.liftOfRightInverseAux f_inv hf g.1 g.2
invFun φ := ⟨φ.comp f, fun x hx ↦ mem_ker.mpr <| by simp [mem_ker.mp hx]⟩
left_inv g := by
ext
simp only [comp_apply, liftOfRightInverseAux_comp_apply, Subtype.coe_mk]
right_inv φ := by
ext b
simp [liftOfRightInverseAux, hf b]
/-- A non-computable version of `MonoidHom.liftOfRightInverse` for when no computable right
inverse is available, that uses `Function.surjInv`. -/
@[to_additive (attr := simp)
"A non-computable version of `AddMonoidHom.liftOfRightInverse` for when no
computable right inverse is available."]
noncomputable abbrev liftOfSurjective (hf : Function.Surjective f) :
{ g : G₁ →* G₃ // f.ker ≤ g.ker } ≃ (G₂ →* G₃) :=
f.liftOfRightInverse (Function.surjInv hf) (Function.rightInverse_surjInv hf)
@[to_additive (attr := simp)]
theorem liftOfRightInverse_comp_apply (hf : Function.RightInverse f_inv f)
(g : { g : G₁ →* G₃ // f.ker ≤ g.ker }) (x : G₁) :
(f.liftOfRightInverse f_inv hf g) (f x) = g.1 x :=
f.liftOfRightInverseAux_comp_apply f_inv hf g.1 g.2 x
@[to_additive (attr := simp)]
theorem liftOfRightInverse_comp (hf : Function.RightInverse f_inv f)
(g : { g : G₁ →* G₃ // f.ker ≤ g.ker }) : (f.liftOfRightInverse f_inv hf g).comp f = g :=
MonoidHom.ext <| f.liftOfRightInverse_comp_apply f_inv hf g
@[to_additive]
theorem eq_liftOfRightInverse (hf : Function.RightInverse f_inv f) (g : G₁ →* G₃)
(hg : f.ker ≤ g.ker) (h : G₂ →* G₃) (hh : h.comp f = g) :
h = f.liftOfRightInverse f_inv hf ⟨g, hg⟩ := by
simp_rw [← hh]
exact ((f.liftOfRightInverse f_inv hf).apply_symm_apply _).symm
end MonoidHom
variable {N : Type*} [Group N]
namespace Subgroup
-- Here `H.Normal` is an explicit argument so we can use dot notation with `comap`.
@[to_additive]
theorem Normal.comap {H : Subgroup N} (hH : H.Normal) (f : G →* N) : (H.comap f).Normal :=
⟨fun _ => by simp +contextual [Subgroup.mem_comap, hH.conj_mem]⟩
@[to_additive]
instance (priority := 100) normal_comap {H : Subgroup N} [nH : H.Normal] (f : G →* N) :
(H.comap f).Normal :=
nH.comap _
-- Here `H.Normal` is an explicit argument so we can use dot notation with `subgroupOf`.
@[to_additive]
theorem Normal.subgroupOf {H : Subgroup G} (hH : H.Normal) (K : Subgroup G) :
(H.subgroupOf K).Normal :=
hH.comap _
@[to_additive]
instance (priority := 100) normal_subgroupOf {H N : Subgroup G} [N.Normal] :
(N.subgroupOf H).Normal :=
Subgroup.normal_comap _
theorem map_normalClosure (s : Set G) (f : G →* N) (hf : Surjective f) :
(normalClosure s).map f = normalClosure (f '' s) := by
have : Normal (map f (normalClosure s)) := Normal.map inferInstance f hf
apply le_antisymm
· simp [map_le_iff_le_comap, normalClosure_le_normal, coe_comap,
← Set.image_subset_iff, subset_normalClosure]
· exact normalClosure_le_normal (Set.image_subset f subset_normalClosure)
theorem comap_normalClosure (s : Set N) (f : G ≃* N) :
normalClosure (f ⁻¹' s) = (normalClosure s).comap f := by
have := Set.preimage_equiv_eq_image_symm s f.toEquiv
simp_all [comap_equiv_eq_map_symm, map_normalClosure s (f.symm : N →* G) f.symm.surjective]
lemma Normal.of_map_injective {G H : Type*} [Group G] [Group H] {φ : G →* H}
(hφ : Function.Injective φ) {L : Subgroup G} (n : (L.map φ).Normal) : L.Normal :=
L.comap_map_eq_self_of_injective hφ ▸ n.comap φ
theorem Normal.of_map_subtype {K : Subgroup G} {L : Subgroup K}
(n : (Subgroup.map K.subtype L).Normal) : L.Normal :=
n.of_map_injective K.subtype_injective
end Subgroup
namespace Subgroup
section SubgroupNormal
@[to_additive]
theorem normal_subgroupOf_iff {H K : Subgroup G} (hHK : H ≤ K) :
(H.subgroupOf K).Normal ↔ ∀ h k, h ∈ H → k ∈ K → k * h * k⁻¹ ∈ H :=
⟨fun hN h k hH hK => hN.conj_mem ⟨h, hHK hH⟩ hH ⟨k, hK⟩, fun hN =>
{ conj_mem := fun h hm k => hN h.1 k.1 hm k.2 }⟩
@[to_additive prod_addSubgroupOf_prod_normal]
instance prod_subgroupOf_prod_normal {H₁ K₁ : Subgroup G} {H₂ K₂ : Subgroup N}
[h₁ : (H₁.subgroupOf K₁).Normal] [h₂ : (H₂.subgroupOf K₂).Normal] :
((H₁.prod H₂).subgroupOf (K₁.prod K₂)).Normal where
conj_mem n hgHK g :=
⟨h₁.conj_mem ⟨(n : G × N).fst, (mem_prod.mp n.2).1⟩ hgHK.1
⟨(g : G × N).fst, (mem_prod.mp g.2).1⟩,
h₂.conj_mem ⟨(n : G × N).snd, (mem_prod.mp n.2).2⟩ hgHK.2
⟨(g : G × N).snd, (mem_prod.mp g.2).2⟩⟩
@[deprecated (since := "2025-03-11")]
alias _root_.AddSubgroup.sum_addSubgroupOf_sum_normal := AddSubgroup.prod_addSubgroupOf_prod_normal
@[to_additive prod_normal]
instance prod_normal (H : Subgroup G) (K : Subgroup N) [hH : H.Normal] [hK : K.Normal] :
(H.prod K).Normal where
conj_mem n hg g :=
⟨hH.conj_mem n.fst (Subgroup.mem_prod.mp hg).1 g.fst,
hK.conj_mem n.snd (Subgroup.mem_prod.mp hg).2 g.snd⟩
@[deprecated (since := "2025-03-11")]
alias _root_.AddSubgroup.sum_normal := AddSubgroup.prod_normal
@[to_additive]
theorem inf_subgroupOf_inf_normal_of_right (A B' B : Subgroup G)
[hN : (B'.subgroupOf B).Normal] : ((A ⊓ B').subgroupOf (A ⊓ B)).Normal := by
rw [normal_subgroupOf_iff_le_normalizer_inf] at hN ⊢
rw [inf_inf_inf_comm, inf_idem]
exact le_trans (inf_le_inf A.le_normalizer hN) (inf_normalizer_le_normalizer_inf)
@[to_additive]
theorem inf_subgroupOf_inf_normal_of_left {A' A : Subgroup G} (B : Subgroup G)
[hN : (A'.subgroupOf A).Normal] : ((A' ⊓ B).subgroupOf (A ⊓ B)).Normal := by
rw [normal_subgroupOf_iff_le_normalizer_inf] at hN ⊢
rw [inf_inf_inf_comm, inf_idem]
exact le_trans (inf_le_inf hN B.le_normalizer) (inf_normalizer_le_normalizer_inf)
@[to_additive]
instance normal_inf_normal (H K : Subgroup G) [hH : H.Normal] [hK : K.Normal] : (H ⊓ K).Normal :=
⟨fun n hmem g => ⟨hH.conj_mem n hmem.1 g, hK.conj_mem n hmem.2 g⟩⟩
@[to_additive]
theorem normal_iInf_normal {ι : Type*} {a : ι → Subgroup G}
(norm : ∀ i : ι, (a i).Normal) : (iInf a).Normal := by
constructor
intro g g_in_iInf h
rw [Subgroup.mem_iInf] at g_in_iInf ⊢
intro i
exact (norm i).conj_mem g (g_in_iInf i) h
@[to_additive]
theorem SubgroupNormal.mem_comm {H K : Subgroup G} (hK : H ≤ K) [hN : (H.subgroupOf K).Normal]
{a b : G} (hb : b ∈ K) (h : a * b ∈ H) : b * a ∈ H := by
have := (normal_subgroupOf_iff hK).mp hN (a * b) b h hb
rwa [mul_assoc, mul_assoc, mul_inv_cancel, mul_one] at this
/-- Elements of disjoint, normal subgroups commute. -/
@[to_additive "Elements of disjoint, normal subgroups commute."]
theorem commute_of_normal_of_disjoint (H₁ H₂ : Subgroup G) (hH₁ : H₁.Normal) (hH₂ : H₂.Normal)
(hdis : Disjoint H₁ H₂) (x y : G) (hx : x ∈ H₁) (hy : y ∈ H₂) : Commute x y := by
suffices x * y * x⁻¹ * y⁻¹ = 1 by
show x * y = y * x
· rw [mul_assoc, mul_eq_one_iff_eq_inv] at this
simpa
apply hdis.le_bot
constructor
· suffices x * (y * x⁻¹ * y⁻¹) ∈ H₁ by simpa [mul_assoc]
exact H₁.mul_mem hx (hH₁.conj_mem _ (H₁.inv_mem hx) _)
· show x * y * x⁻¹ * y⁻¹ ∈ H₂
apply H₂.mul_mem _ (H₂.inv_mem hy)
apply hH₂.conj_mem _ hy
@[to_additive]
theorem normal_subgroupOf_of_le_normalizer {H N : Subgroup G}
(hLE : H ≤ N.normalizer) : (N.subgroupOf H).Normal := by
rw [normal_subgroupOf_iff_le_normalizer_inf]
exact (le_inf hLE H.le_normalizer).trans inf_normalizer_le_normalizer_inf
@[to_additive]
theorem normal_subgroupOf_sup_of_le_normalizer {H N : Subgroup G}
(hLE : H ≤ N.normalizer) : (N.subgroupOf (H ⊔ N)).Normal := by
rw [normal_subgroupOf_iff_le_normalizer le_sup_right]
exact sup_le hLE le_normalizer
end SubgroupNormal
end Subgroup
namespace IsConj
open Subgroup
theorem normalClosure_eq_top_of {N : Subgroup G} [hn : N.Normal] {g g' : G} {hg : g ∈ N}
{hg' : g' ∈ N} (hc : IsConj g g') (ht : normalClosure ({⟨g, hg⟩} : Set N) = ⊤) :
normalClosure ({⟨g', hg'⟩} : Set N) = ⊤ := by
obtain ⟨c, rfl⟩ := isConj_iff.1 hc
have h : ∀ x : N, (MulAut.conj c) x ∈ N := by
rintro ⟨x, hx⟩
exact hn.conj_mem _ hx c
have hs : Function.Surjective (((MulAut.conj c).toMonoidHom.restrict N).codRestrict _ h) := by
rintro ⟨x, hx⟩
refine ⟨⟨c⁻¹ * x * c, ?_⟩, ?_⟩
· have h := hn.conj_mem _ hx c⁻¹
rwa [inv_inv] at h
simp only [MonoidHom.codRestrict_apply, MulEquiv.coe_toMonoidHom, MulAut.conj_apply, coe_mk,
MonoidHom.restrict_apply, Subtype.mk_eq_mk, ← mul_assoc, mul_inv_cancel, one_mul]
rw [mul_assoc, mul_inv_cancel, mul_one]
rw [eq_top_iff, ← MonoidHom.range_eq_top.2 hs, MonoidHom.range_eq_map]
refine le_trans (map_mono (eq_top_iff.1 ht)) (map_le_iff_le_comap.2 (normalClosure_le_normal ?_))
rw [Set.singleton_subset_iff, SetLike.mem_coe]
simp only [MonoidHom.codRestrict_apply, MulEquiv.coe_toMonoidHom, MulAut.conj_apply, coe_mk,
MonoidHom.restrict_apply, mem_comap]
exact subset_normalClosure (Set.mem_singleton _)
end IsConj
namespace ConjClasses
/-- The conjugacy classes that are not trivial. -/
def noncenter (G : Type*) [Monoid G] : Set (ConjClasses G) :=
{x | x.carrier.Nontrivial}
@[simp] lemma mem_noncenter {G} [Monoid G] (g : ConjClasses G) :
g ∈ noncenter G ↔ g.carrier.Nontrivial := Iff.rfl
end ConjClasses
/-- Suppose `G` acts on `M` and `I` is a subgroup of `M`.
The inertia subgroup of `I` is the subgroup of `G` whose action is trivial mod `I`. -/
def AddSubgroup.inertia {M : Type*} [AddGroup M] (I : AddSubgroup M) (G : Type*)
[Group G] [MulAction G M] : Subgroup G where
carrier := { σ | ∀ x, σ • x - x ∈ I }
mul_mem' {a b} ha hb x := by simpa [mul_smul] using add_mem (ha (b • x)) (hb x)
one_mem' := by simp [zero_mem]
inv_mem' {a} ha x := by simpa using sub_mem_comm_iff.mp (ha (a⁻¹ • x))
@[simp] lemma AddSubgroup.mem_inertia {M : Type*} [AddGroup M] {I : AddSubgroup M} {G : Type*}
[Group G] [MulAction G M] {σ : G} : σ ∈ I.inertia G ↔ ∀ x, σ • x - x ∈ I := .rfl
| Mathlib/Algebra/Group/Subgroup/Basic.lean | 2,168 | 2,178 | |
/-
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) :
| Mathlib/Data/Finset/NAry.lean | 501 | 517 |
/-
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.Order.Bounds.Defs
import Mathlib.Order.Directed
import Mathlib.Order.BoundedOrder.Monotone
import Mathlib.Order.Interval.Set.Basic
/-!
# Upper / lower bounds
In this file we prove various lemmas about upper/lower bounds of a set:
monotonicity, behaviour under `∪`, `∩`, `insert`,
and provide formulas for `∅`, `univ`, and intervals.
-/
open Function Set
open OrderDual (toDual ofDual)
universe u v
variable {α : Type u} {γ : Type v}
section
variable [Preorder α] {s t : Set α} {a b : α}
theorem mem_upperBounds : a ∈ upperBounds s ↔ ∀ x ∈ s, x ≤ a :=
Iff.rfl
theorem mem_lowerBounds : a ∈ lowerBounds s ↔ ∀ x ∈ s, a ≤ x :=
Iff.rfl
lemma mem_upperBounds_iff_subset_Iic : a ∈ upperBounds s ↔ s ⊆ Iic a := Iff.rfl
lemma mem_lowerBounds_iff_subset_Ici : a ∈ lowerBounds s ↔ s ⊆ Ici a := Iff.rfl
theorem bddAbove_def : BddAbove s ↔ ∃ x, ∀ y ∈ s, y ≤ x :=
Iff.rfl
theorem bddBelow_def : BddBelow s ↔ ∃ x, ∀ y ∈ s, x ≤ y :=
Iff.rfl
theorem bot_mem_lowerBounds [OrderBot α] (s : Set α) : ⊥ ∈ lowerBounds s := fun _ _ => bot_le
theorem top_mem_upperBounds [OrderTop α] (s : Set α) : ⊤ ∈ upperBounds s := fun _ _ => le_top
@[simp]
theorem isLeast_bot_iff [OrderBot α] : IsLeast s ⊥ ↔ ⊥ ∈ s :=
and_iff_left <| bot_mem_lowerBounds _
@[simp]
theorem isGreatest_top_iff [OrderTop α] : IsGreatest s ⊤ ↔ ⊤ ∈ s :=
and_iff_left <| top_mem_upperBounds _
/-- A set `s` is not bounded above if and only if for each `x` there exists `y ∈ s` such that `x`
is not greater than or equal to `y`. This version only assumes `Preorder` structure and uses
`¬(y ≤ x)`. A version for linear orders is called `not_bddAbove_iff`. -/
theorem not_bddAbove_iff' : ¬BddAbove s ↔ ∀ x, ∃ y ∈ s, ¬y ≤ x := by
simp [BddAbove, upperBounds, Set.Nonempty]
/-- A set `s` is not bounded below if and only if for each `x` there exists `y ∈ s` such that `x`
is not less than or equal to `y`. This version only assumes `Preorder` structure and uses
`¬(x ≤ y)`. A version for linear orders is called `not_bddBelow_iff`. -/
theorem not_bddBelow_iff' : ¬BddBelow s ↔ ∀ x, ∃ y ∈ s, ¬x ≤ y :=
@not_bddAbove_iff' αᵒᵈ _ _
/-- A set `s` is not bounded above if and only if for each `x` there exists `y ∈ s` that is greater
than `x`. A version for preorders is called `not_bddAbove_iff'`. -/
theorem not_bddAbove_iff {α : Type*} [LinearOrder α] {s : Set α} :
¬BddAbove s ↔ ∀ x, ∃ y ∈ s, x < y := by
simp only [not_bddAbove_iff', not_le]
/-- A set `s` is not bounded below if and only if for each `x` there exists `y ∈ s` that is less
than `x`. A version for preorders is called `not_bddBelow_iff'`. -/
theorem not_bddBelow_iff {α : Type*} [LinearOrder α] {s : Set α} :
¬BddBelow s ↔ ∀ x, ∃ y ∈ s, y < x :=
@not_bddAbove_iff αᵒᵈ _ _
@[simp] lemma bddBelow_preimage_ofDual {s : Set α} : BddBelow (ofDual ⁻¹' s) ↔ BddAbove s := Iff.rfl
@[simp] lemma bddAbove_preimage_ofDual {s : Set α} : BddAbove (ofDual ⁻¹' s) ↔ BddBelow s := Iff.rfl
@[simp] lemma bddBelow_preimage_toDual {s : Set αᵒᵈ} :
BddBelow (toDual ⁻¹' s) ↔ BddAbove s := Iff.rfl
@[simp] lemma bddAbove_preimage_toDual {s : Set αᵒᵈ} :
BddAbove (toDual ⁻¹' s) ↔ BddBelow s := Iff.rfl
theorem BddAbove.dual (h : BddAbove s) : BddBelow (ofDual ⁻¹' s) :=
h
theorem BddBelow.dual (h : BddBelow s) : BddAbove (ofDual ⁻¹' s) :=
h
theorem IsLeast.dual (h : IsLeast s a) : IsGreatest (ofDual ⁻¹' s) (toDual a) :=
h
theorem IsGreatest.dual (h : IsGreatest s a) : IsLeast (ofDual ⁻¹' s) (toDual a) :=
h
theorem IsLUB.dual (h : IsLUB s a) : IsGLB (ofDual ⁻¹' s) (toDual a) :=
h
theorem IsGLB.dual (h : IsGLB s a) : IsLUB (ofDual ⁻¹' s) (toDual a) :=
h
/-- If `a` is the least element of a set `s`, then subtype `s` is an order with bottom element. -/
abbrev IsLeast.orderBot (h : IsLeast s a) :
OrderBot s where
bot := ⟨a, h.1⟩
bot_le := Subtype.forall.2 h.2
/-- If `a` is the greatest element of a set `s`, then subtype `s` is an order with top element. -/
abbrev IsGreatest.orderTop (h : IsGreatest s a) :
OrderTop s where
top := ⟨a, h.1⟩
le_top := Subtype.forall.2 h.2
theorem isLUB_congr (h : upperBounds s = upperBounds t) : IsLUB s a ↔ IsLUB t a := by
rw [IsLUB, IsLUB, h]
theorem isGLB_congr (h : lowerBounds s = lowerBounds t) : IsGLB s a ↔ IsGLB t a := by
rw [IsGLB, IsGLB, h]
/-!
### Monotonicity
-/
theorem upperBounds_mono_set ⦃s t : Set α⦄ (hst : s ⊆ t) : upperBounds t ⊆ upperBounds s :=
fun _ hb _ h => hb <| hst h
theorem lowerBounds_mono_set ⦃s t : Set α⦄ (hst : s ⊆ t) : lowerBounds t ⊆ lowerBounds s :=
fun _ hb _ h => hb <| hst h
theorem upperBounds_mono_mem ⦃a b⦄ (hab : a ≤ b) : a ∈ upperBounds s → b ∈ upperBounds s :=
fun ha _ h => le_trans (ha h) hab
theorem lowerBounds_mono_mem ⦃a b⦄ (hab : a ≤ b) : b ∈ lowerBounds s → a ∈ lowerBounds s :=
fun hb _ h => le_trans hab (hb h)
theorem upperBounds_mono ⦃s t : Set α⦄ (hst : s ⊆ t) ⦃a b⦄ (hab : a ≤ b) :
a ∈ upperBounds t → b ∈ upperBounds s := fun ha =>
upperBounds_mono_set hst <| upperBounds_mono_mem hab ha
theorem lowerBounds_mono ⦃s t : Set α⦄ (hst : s ⊆ t) ⦃a b⦄ (hab : a ≤ b) :
b ∈ lowerBounds t → a ∈ lowerBounds s := fun hb =>
lowerBounds_mono_set hst <| lowerBounds_mono_mem hab hb
/-- If `s ⊆ t` and `t` is bounded above, then so is `s`. -/
theorem BddAbove.mono ⦃s t : Set α⦄ (h : s ⊆ t) : BddAbove t → BddAbove s :=
Nonempty.mono <| upperBounds_mono_set h
/-- If `s ⊆ t` and `t` is bounded below, then so is `s`. -/
theorem BddBelow.mono ⦃s t : Set α⦄ (h : s ⊆ t) : BddBelow t → BddBelow s :=
Nonempty.mono <| lowerBounds_mono_set h
/-- If `a` is a least upper bound for sets `s` and `p`, then it is a least upper bound for any
set `t`, `s ⊆ t ⊆ p`. -/
theorem IsLUB.of_subset_of_superset {s t p : Set α} (hs : IsLUB s a) (hp : IsLUB p a) (hst : s ⊆ t)
(htp : t ⊆ p) : IsLUB t a :=
⟨upperBounds_mono_set htp hp.1, lowerBounds_mono_set (upperBounds_mono_set hst) hs.2⟩
/-- If `a` is a greatest lower bound for sets `s` and `p`, then it is a greater lower bound for any
set `t`, `s ⊆ t ⊆ p`. -/
theorem IsGLB.of_subset_of_superset {s t p : Set α} (hs : IsGLB s a) (hp : IsGLB p a) (hst : s ⊆ t)
(htp : t ⊆ p) : IsGLB t a :=
hs.dual.of_subset_of_superset hp hst htp
theorem IsLeast.mono (ha : IsLeast s a) (hb : IsLeast t b) (hst : s ⊆ t) : b ≤ a :=
hb.2 (hst ha.1)
theorem IsGreatest.mono (ha : IsGreatest s a) (hb : IsGreatest t b) (hst : s ⊆ t) : a ≤ b :=
hb.2 (hst ha.1)
theorem IsLUB.mono (ha : IsLUB s a) (hb : IsLUB t b) (hst : s ⊆ t) : a ≤ b :=
IsLeast.mono hb ha <| upperBounds_mono_set hst
theorem IsGLB.mono (ha : IsGLB s a) (hb : IsGLB t b) (hst : s ⊆ t) : b ≤ a :=
IsGreatest.mono hb ha <| lowerBounds_mono_set hst
theorem subset_lowerBounds_upperBounds (s : Set α) : s ⊆ lowerBounds (upperBounds s) :=
fun _ hx _ hy => hy hx
theorem subset_upperBounds_lowerBounds (s : Set α) : s ⊆ upperBounds (lowerBounds s) :=
fun _ hx _ hy => hy hx
theorem Set.Nonempty.bddAbove_lowerBounds (hs : s.Nonempty) : BddAbove (lowerBounds s) :=
hs.mono (subset_upperBounds_lowerBounds s)
theorem Set.Nonempty.bddBelow_upperBounds (hs : s.Nonempty) : BddBelow (upperBounds s) :=
hs.mono (subset_lowerBounds_upperBounds s)
/-!
### Conversions
-/
theorem IsLeast.isGLB (h : IsLeast s a) : IsGLB s a :=
⟨h.2, fun _ hb => hb h.1⟩
theorem IsGreatest.isLUB (h : IsGreatest s a) : IsLUB s a :=
⟨h.2, fun _ hb => hb h.1⟩
theorem IsLUB.upperBounds_eq (h : IsLUB s a) : upperBounds s = Ici a :=
Set.ext fun _ => ⟨fun hb => h.2 hb, fun hb => upperBounds_mono_mem hb h.1⟩
theorem IsGLB.lowerBounds_eq (h : IsGLB s a) : lowerBounds s = Iic a :=
h.dual.upperBounds_eq
theorem IsLeast.lowerBounds_eq (h : IsLeast s a) : lowerBounds s = Iic a :=
h.isGLB.lowerBounds_eq
theorem IsGreatest.upperBounds_eq (h : IsGreatest s a) : upperBounds s = Ici a :=
h.isLUB.upperBounds_eq
theorem IsGreatest.lt_iff (h : IsGreatest s a) : a < b ↔ ∀ x ∈ s, x < b :=
⟨fun hlt _x hx => (h.2 hx).trans_lt hlt, fun h' => h' _ h.1⟩
theorem IsLeast.lt_iff (h : IsLeast s a) : b < a ↔ ∀ x ∈ s, b < x :=
h.dual.lt_iff
theorem isLUB_le_iff (h : IsLUB s a) : a ≤ b ↔ b ∈ upperBounds s := by
rw [h.upperBounds_eq]
rfl
theorem le_isGLB_iff (h : IsGLB s a) : b ≤ a ↔ b ∈ lowerBounds s := by
rw [h.lowerBounds_eq]
rfl
theorem isLUB_iff_le_iff : IsLUB s a ↔ ∀ b, a ≤ b ↔ b ∈ upperBounds s :=
⟨fun h _ => isLUB_le_iff h, fun H => ⟨(H _).1 le_rfl, fun b hb => (H b).2 hb⟩⟩
theorem isGLB_iff_le_iff : IsGLB s a ↔ ∀ b, b ≤ a ↔ b ∈ lowerBounds s :=
@isLUB_iff_le_iff αᵒᵈ _ _ _
/-- If `s` has a least upper bound, then it is bounded above. -/
theorem IsLUB.bddAbove (h : IsLUB s a) : BddAbove s :=
⟨a, h.1⟩
/-- If `s` has a greatest lower bound, then it is bounded below. -/
theorem IsGLB.bddBelow (h : IsGLB s a) : BddBelow s :=
⟨a, h.1⟩
/-- If `s` has a greatest element, then it is bounded above. -/
theorem IsGreatest.bddAbove (h : IsGreatest s a) : BddAbove s :=
⟨a, h.2⟩
/-- If `s` has a least element, then it is bounded below. -/
theorem IsLeast.bddBelow (h : IsLeast s a) : BddBelow s :=
⟨a, h.2⟩
theorem IsLeast.nonempty (h : IsLeast s a) : s.Nonempty :=
⟨a, h.1⟩
theorem IsGreatest.nonempty (h : IsGreatest s a) : s.Nonempty :=
⟨a, h.1⟩
/-!
### Union and intersection
-/
@[simp]
theorem upperBounds_union : upperBounds (s ∪ t) = upperBounds s ∩ upperBounds t :=
Subset.antisymm (fun _ hb => ⟨fun _ hx => hb (Or.inl hx), fun _ hx => hb (Or.inr hx)⟩)
fun _ hb _ hx => hx.elim (fun hs => hb.1 hs) fun ht => hb.2 ht
@[simp]
theorem lowerBounds_union : lowerBounds (s ∪ t) = lowerBounds s ∩ lowerBounds t :=
@upperBounds_union αᵒᵈ _ s t
theorem union_upperBounds_subset_upperBounds_inter :
upperBounds s ∪ upperBounds t ⊆ upperBounds (s ∩ t) :=
union_subset (upperBounds_mono_set inter_subset_left)
(upperBounds_mono_set inter_subset_right)
theorem union_lowerBounds_subset_lowerBounds_inter :
lowerBounds s ∪ lowerBounds t ⊆ lowerBounds (s ∩ t) :=
@union_upperBounds_subset_upperBounds_inter αᵒᵈ _ s t
theorem isLeast_union_iff {a : α} {s t : Set α} :
IsLeast (s ∪ t) a ↔ IsLeast s a ∧ a ∈ lowerBounds t ∨ a ∈ lowerBounds s ∧ IsLeast t a := by
simp [IsLeast, lowerBounds_union, or_and_right, and_comm (a := a ∈ t), and_assoc]
theorem isGreatest_union_iff :
IsGreatest (s ∪ t) a ↔
IsGreatest s a ∧ a ∈ upperBounds t ∨ a ∈ upperBounds s ∧ IsGreatest t a :=
@isLeast_union_iff αᵒᵈ _ a s t
/-- If `s` is bounded, then so is `s ∩ t` -/
theorem BddAbove.inter_of_left (h : BddAbove s) : BddAbove (s ∩ t) :=
h.mono inter_subset_left
/-- If `t` is bounded, then so is `s ∩ t` -/
theorem BddAbove.inter_of_right (h : BddAbove t) : BddAbove (s ∩ t) :=
h.mono inter_subset_right
/-- If `s` is bounded, then so is `s ∩ t` -/
theorem BddBelow.inter_of_left (h : BddBelow s) : BddBelow (s ∩ t) :=
h.mono inter_subset_left
/-- If `t` is bounded, then so is `s ∩ t` -/
theorem BddBelow.inter_of_right (h : BddBelow t) : BddBelow (s ∩ t) :=
h.mono inter_subset_right
/-- In a directed order, the union of bounded above sets is bounded above. -/
theorem BddAbove.union [IsDirected α (· ≤ ·)] {s t : Set α} :
BddAbove s → BddAbove t → BddAbove (s ∪ t) := by
rintro ⟨a, ha⟩ ⟨b, hb⟩
obtain ⟨c, hca, hcb⟩ := exists_ge_ge a b
rw [BddAbove, upperBounds_union]
exact ⟨c, upperBounds_mono_mem hca ha, upperBounds_mono_mem hcb hb⟩
/-- In a directed order, the union of two sets is bounded above if and only if both sets are. -/
theorem bddAbove_union [IsDirected α (· ≤ ·)] {s t : Set α} :
BddAbove (s ∪ t) ↔ BddAbove s ∧ BddAbove t :=
⟨fun h => ⟨h.mono subset_union_left, h.mono subset_union_right⟩, fun h =>
h.1.union h.2⟩
/-- In a codirected order, the union of bounded below sets is bounded below. -/
theorem BddBelow.union [IsDirected α (· ≥ ·)] {s t : Set α} :
BddBelow s → BddBelow t → BddBelow (s ∪ t) :=
@BddAbove.union αᵒᵈ _ _ _ _
/-- In a codirected order, the union of two sets is bounded below if and only if both sets are. -/
theorem bddBelow_union [IsDirected α (· ≥ ·)] {s t : Set α} :
BddBelow (s ∪ t) ↔ BddBelow s ∧ BddBelow t :=
@bddAbove_union αᵒᵈ _ _ _ _
/-- If `a` is the least upper bound of `s` and `b` is the least upper bound of `t`,
then `a ⊔ b` is the least upper bound of `s ∪ t`. -/
theorem IsLUB.union [SemilatticeSup γ] {a b : γ} {s t : Set γ} (hs : IsLUB s a) (ht : IsLUB t b) :
IsLUB (s ∪ t) (a ⊔ b) :=
⟨fun _ h =>
h.casesOn (fun h => le_sup_of_le_left <| hs.left h) fun h => le_sup_of_le_right <| ht.left h,
fun _ hc =>
sup_le (hs.right fun _ hd => hc <| Or.inl hd) (ht.right fun _ hd => hc <| Or.inr hd)⟩
/-- If `a` is the greatest lower bound of `s` and `b` is the greatest lower bound of `t`,
then `a ⊓ b` is the greatest lower bound of `s ∪ t`. -/
theorem IsGLB.union [SemilatticeInf γ] {a₁ a₂ : γ} {s t : Set γ} (hs : IsGLB s a₁)
(ht : IsGLB t a₂) : IsGLB (s ∪ t) (a₁ ⊓ a₂) :=
hs.dual.union ht
/-- If `a` is the least element of `s` and `b` is the least element of `t`,
then `min a b` is the least element of `s ∪ t`. -/
theorem IsLeast.union [LinearOrder γ] {a b : γ} {s t : Set γ} (ha : IsLeast s a)
(hb : IsLeast t b) : IsLeast (s ∪ t) (min a b) :=
⟨by rcases le_total a b with h | h <;> simp [h, ha.1, hb.1], (ha.isGLB.union hb.isGLB).1⟩
/-- If `a` is the greatest element of `s` and `b` is the greatest element of `t`,
then `max a b` is the greatest element of `s ∪ t`. -/
theorem IsGreatest.union [LinearOrder γ] {a b : γ} {s t : Set γ} (ha : IsGreatest s a)
(hb : IsGreatest t b) : IsGreatest (s ∪ t) (max a b) :=
⟨by rcases le_total a b with h | h <;> simp [h, ha.1, hb.1], (ha.isLUB.union hb.isLUB).1⟩
theorem IsLUB.inter_Ici_of_mem [LinearOrder γ] {s : Set γ} {a b : γ} (ha : IsLUB s a) (hb : b ∈ s) :
IsLUB (s ∩ Ici b) a :=
⟨fun _ hx => ha.1 hx.1, fun c hc =>
have hbc : b ≤ c := hc ⟨hb, le_rfl⟩
ha.2 fun x hx => ((le_total x b).elim fun hxb => hxb.trans hbc) fun hbx => hc ⟨hx, hbx⟩⟩
theorem IsGLB.inter_Iic_of_mem [LinearOrder γ] {s : Set γ} {a b : γ} (ha : IsGLB s a) (hb : b ∈ s) :
IsGLB (s ∩ Iic b) a :=
ha.dual.inter_Ici_of_mem hb
theorem bddAbove_iff_exists_ge [SemilatticeSup γ] {s : Set γ} (x₀ : γ) :
BddAbove s ↔ ∃ x, x₀ ≤ x ∧ ∀ y ∈ s, y ≤ x := by
rw [bddAbove_def, exists_ge_and_iff_exists]
exact Monotone.ball fun x _ => monotone_le
theorem bddBelow_iff_exists_le [SemilatticeInf γ] {s : Set γ} (x₀ : γ) :
BddBelow s ↔ ∃ x, x ≤ x₀ ∧ ∀ y ∈ s, x ≤ y :=
bddAbove_iff_exists_ge (toDual x₀)
theorem BddAbove.exists_ge [SemilatticeSup γ] {s : Set γ} (hs : BddAbove s) (x₀ : γ) :
∃ x, x₀ ≤ x ∧ ∀ y ∈ s, y ≤ x :=
(bddAbove_iff_exists_ge x₀).mp hs
theorem BddBelow.exists_le [SemilatticeInf γ] {s : Set γ} (hs : BddBelow s) (x₀ : γ) :
∃ x, x ≤ x₀ ∧ ∀ y ∈ s, x ≤ y :=
(bddBelow_iff_exists_le x₀).mp hs
/-!
### Specific sets
#### Unbounded intervals
-/
theorem isLeast_Ici : IsLeast (Ici a) a :=
⟨left_mem_Ici, fun _ => id⟩
theorem isGreatest_Iic : IsGreatest (Iic a) a :=
⟨right_mem_Iic, fun _ => id⟩
theorem isLUB_Iic : IsLUB (Iic a) a :=
isGreatest_Iic.isLUB
theorem isGLB_Ici : IsGLB (Ici a) a :=
isLeast_Ici.isGLB
theorem upperBounds_Iic : upperBounds (Iic a) = Ici a :=
isLUB_Iic.upperBounds_eq
theorem lowerBounds_Ici : lowerBounds (Ici a) = Iic a :=
isGLB_Ici.lowerBounds_eq
theorem bddAbove_Iic : BddAbove (Iic a) :=
isLUB_Iic.bddAbove
theorem bddBelow_Ici : BddBelow (Ici a) :=
isGLB_Ici.bddBelow
theorem bddAbove_Iio : BddAbove (Iio a) :=
⟨a, fun _ hx => le_of_lt hx⟩
theorem bddBelow_Ioi : BddBelow (Ioi a) :=
⟨a, fun _ hx => le_of_lt hx⟩
theorem lub_Iio_le (a : α) (hb : IsLUB (Iio a) b) : b ≤ a :=
(isLUB_le_iff hb).mpr fun _ hk => le_of_lt hk
theorem le_glb_Ioi (a : α) (hb : IsGLB (Ioi a) b) : a ≤ b :=
@lub_Iio_le αᵒᵈ _ _ a hb
theorem lub_Iio_eq_self_or_Iio_eq_Iic [PartialOrder γ] {j : γ} (i : γ) (hj : IsLUB (Iio i) j) :
j = i ∨ Iio i = Iic j := by
rcases eq_or_lt_of_le (lub_Iio_le i hj) with hj_eq_i | hj_lt_i
· exact Or.inl hj_eq_i
· right
exact Set.ext fun k => ⟨fun hk_lt => hj.1 hk_lt, fun hk_le_j => lt_of_le_of_lt hk_le_j hj_lt_i⟩
theorem glb_Ioi_eq_self_or_Ioi_eq_Ici [PartialOrder γ] {j : γ} (i : γ) (hj : IsGLB (Ioi i) j) :
j = i ∨ Ioi i = Ici j :=
@lub_Iio_eq_self_or_Iio_eq_Iic γᵒᵈ _ j i hj
section
variable [LinearOrder γ]
theorem exists_lub_Iio (i : γ) : ∃ j, IsLUB (Iio i) j := by
by_cases h_exists_lt : ∃ j, j ∈ upperBounds (Iio i) ∧ j < i
· obtain ⟨j, hj_ub, hj_lt_i⟩ := h_exists_lt
exact ⟨j, hj_ub, fun k hk_ub => hk_ub hj_lt_i⟩
· refine ⟨i, fun j hj => le_of_lt hj, ?_⟩
rw [mem_lowerBounds]
by_contra h
refine h_exists_lt ?_
push_neg at h
exact h
theorem exists_glb_Ioi (i : γ) : ∃ j, IsGLB (Ioi i) j :=
@exists_lub_Iio γᵒᵈ _ i
variable [DenselyOrdered γ]
theorem isLUB_Iio {a : γ} : IsLUB (Iio a) a :=
⟨fun _ hx => le_of_lt hx, fun _ hy => le_of_forall_lt_imp_le_of_dense hy⟩
theorem isGLB_Ioi {a : γ} : IsGLB (Ioi a) a :=
@isLUB_Iio γᵒᵈ _ _ a
theorem upperBounds_Iio {a : γ} : upperBounds (Iio a) = Ici a :=
isLUB_Iio.upperBounds_eq
theorem lowerBounds_Ioi {a : γ} : lowerBounds (Ioi a) = Iic a :=
isGLB_Ioi.lowerBounds_eq
end
/-!
#### Singleton
-/
@[simp] theorem isGreatest_singleton : IsGreatest {a} a :=
⟨mem_singleton a, fun _ hx => le_of_eq <| eq_of_mem_singleton hx⟩
@[simp] theorem isLeast_singleton : IsLeast {a} a :=
@isGreatest_singleton αᵒᵈ _ a
@[simp] theorem isLUB_singleton : IsLUB {a} a :=
isGreatest_singleton.isLUB
@[simp] theorem isGLB_singleton : IsGLB {a} a :=
isLeast_singleton.isGLB
@[simp] lemma bddAbove_singleton : BddAbove ({a} : Set α) := isLUB_singleton.bddAbove
@[simp] lemma bddBelow_singleton : BddBelow ({a} : Set α) := isGLB_singleton.bddBelow
@[simp]
theorem upperBounds_singleton : upperBounds {a} = Ici a :=
isLUB_singleton.upperBounds_eq
@[simp]
theorem lowerBounds_singleton : lowerBounds {a} = Iic a :=
isGLB_singleton.lowerBounds_eq
/-!
#### Bounded intervals
-/
theorem bddAbove_Icc : BddAbove (Icc a b) :=
⟨b, fun _ => And.right⟩
theorem bddBelow_Icc : BddBelow (Icc a b) :=
⟨a, fun _ => And.left⟩
theorem bddAbove_Ico : BddAbove (Ico a b) :=
bddAbove_Icc.mono Ico_subset_Icc_self
theorem bddBelow_Ico : BddBelow (Ico a b) :=
bddBelow_Icc.mono Ico_subset_Icc_self
theorem bddAbove_Ioc : BddAbove (Ioc a b) :=
bddAbove_Icc.mono Ioc_subset_Icc_self
theorem bddBelow_Ioc : BddBelow (Ioc a b) :=
bddBelow_Icc.mono Ioc_subset_Icc_self
theorem bddAbove_Ioo : BddAbove (Ioo a b) :=
bddAbove_Icc.mono Ioo_subset_Icc_self
theorem bddBelow_Ioo : BddBelow (Ioo a b) :=
bddBelow_Icc.mono Ioo_subset_Icc_self
theorem isGreatest_Icc (h : a ≤ b) : IsGreatest (Icc a b) b :=
⟨right_mem_Icc.2 h, fun _ => And.right⟩
theorem isLUB_Icc (h : a ≤ b) : IsLUB (Icc a b) b :=
(isGreatest_Icc h).isLUB
theorem upperBounds_Icc (h : a ≤ b) : upperBounds (Icc a b) = Ici b :=
(isLUB_Icc h).upperBounds_eq
theorem isLeast_Icc (h : a ≤ b) : IsLeast (Icc a b) a :=
⟨left_mem_Icc.2 h, fun _ => And.left⟩
theorem isGLB_Icc (h : a ≤ b) : IsGLB (Icc a b) a :=
(isLeast_Icc h).isGLB
theorem lowerBounds_Icc (h : a ≤ b) : lowerBounds (Icc a b) = Iic a :=
(isGLB_Icc h).lowerBounds_eq
theorem isGreatest_Ioc (h : a < b) : IsGreatest (Ioc a b) b :=
⟨right_mem_Ioc.2 h, fun _ => And.right⟩
theorem isLUB_Ioc (h : a < b) : IsLUB (Ioc a b) b :=
(isGreatest_Ioc h).isLUB
theorem upperBounds_Ioc (h : a < b) : upperBounds (Ioc a b) = Ici b :=
(isLUB_Ioc h).upperBounds_eq
theorem isLeast_Ico (h : a < b) : IsLeast (Ico a b) a :=
⟨left_mem_Ico.2 h, fun _ => And.left⟩
theorem isGLB_Ico (h : a < b) : IsGLB (Ico a b) a :=
(isLeast_Ico h).isGLB
theorem lowerBounds_Ico (h : a < b) : lowerBounds (Ico a b) = Iic a :=
(isGLB_Ico h).lowerBounds_eq
section
variable [SemilatticeSup γ] [DenselyOrdered γ]
theorem isGLB_Ioo {a b : γ} (h : a < b) : IsGLB (Ioo a b) a :=
⟨fun _ hx => hx.1.le, fun x hx => by
rcases eq_or_lt_of_le (le_sup_right : a ≤ x ⊔ a) with h₁ | h₂
· exact h₁.symm ▸ le_sup_left
obtain ⟨y, lty, ylt⟩ := exists_between h₂
apply (not_lt_of_le (sup_le (hx ⟨lty, ylt.trans_le (sup_le _ h.le)⟩) lty.le) ylt).elim
obtain ⟨u, au, ub⟩ := exists_between h
apply (hx ⟨au, ub⟩).trans ub.le⟩
theorem lowerBounds_Ioo {a b : γ} (hab : a < b) : lowerBounds (Ioo a b) = Iic a :=
(isGLB_Ioo hab).lowerBounds_eq
theorem isGLB_Ioc {a b : γ} (hab : a < b) : IsGLB (Ioc a b) a :=
(isGLB_Ioo hab).of_subset_of_superset (isGLB_Icc hab.le) Ioo_subset_Ioc_self Ioc_subset_Icc_self
theorem lowerBounds_Ioc {a b : γ} (hab : a < b) : lowerBounds (Ioc a b) = Iic a :=
(isGLB_Ioc hab).lowerBounds_eq
end
section
variable [SemilatticeInf γ] [DenselyOrdered γ]
theorem isLUB_Ioo {a b : γ} (hab : a < b) : IsLUB (Ioo a b) b := by
simpa only [Ioo_toDual] using isGLB_Ioo hab.dual
theorem upperBounds_Ioo {a b : γ} (hab : a < b) : upperBounds (Ioo a b) = Ici b :=
(isLUB_Ioo hab).upperBounds_eq
theorem isLUB_Ico {a b : γ} (hab : a < b) : IsLUB (Ico a b) b := by
simpa only [Ioc_toDual] using isGLB_Ioc hab.dual
theorem upperBounds_Ico {a b : γ} (hab : a < b) : upperBounds (Ico a b) = Ici b :=
(isLUB_Ico hab).upperBounds_eq
end
theorem bddBelow_iff_subset_Ici : BddBelow s ↔ ∃ a, s ⊆ Ici a :=
Iff.rfl
theorem bddAbove_iff_subset_Iic : BddAbove s ↔ ∃ a, s ⊆ Iic a :=
Iff.rfl
theorem bddBelow_bddAbove_iff_subset_Icc : BddBelow s ∧ BddAbove s ↔ ∃ a b, s ⊆ Icc a b := by
simp [Ici_inter_Iic.symm, subset_inter_iff, bddBelow_iff_subset_Ici,
bddAbove_iff_subset_Iic, exists_and_left, exists_and_right]
/-!
#### Univ
-/
@[simp] theorem isGreatest_univ_iff : IsGreatest univ a ↔ IsTop a := by
simp [IsGreatest, mem_upperBounds, IsTop]
theorem isGreatest_univ [OrderTop α] : IsGreatest (univ : Set α) ⊤ :=
isGreatest_univ_iff.2 isTop_top
@[simp]
theorem OrderTop.upperBounds_univ [PartialOrder γ] [OrderTop γ] :
upperBounds (univ : Set γ) = {⊤} := by rw [isGreatest_univ.upperBounds_eq, Ici_top]
theorem isLUB_univ [OrderTop α] : IsLUB (univ : Set α) ⊤ :=
isGreatest_univ.isLUB
@[simp]
theorem OrderBot.lowerBounds_univ [PartialOrder γ] [OrderBot γ] :
lowerBounds (univ : Set γ) = {⊥} :=
@OrderTop.upperBounds_univ γᵒᵈ _ _
@[simp] theorem isLeast_univ_iff : IsLeast univ a ↔ IsBot a :=
@isGreatest_univ_iff αᵒᵈ _ _
theorem isLeast_univ [OrderBot α] : IsLeast (univ : Set α) ⊥ :=
@isGreatest_univ αᵒᵈ _ _
theorem isGLB_univ [OrderBot α] : IsGLB (univ : Set α) ⊥ :=
isLeast_univ.isGLB
@[simp]
theorem NoTopOrder.upperBounds_univ [NoTopOrder α] : upperBounds (univ : Set α) = ∅ :=
eq_empty_of_subset_empty fun b hb =>
not_isTop b fun x => hb (mem_univ x)
@[deprecated (since := "2025-04-18")]
alias NoMaxOrder.upperBounds_univ := NoTopOrder.upperBounds_univ
@[simp]
theorem NoBotOrder.lowerBounds_univ [NoBotOrder α] : lowerBounds (univ : Set α) = ∅ :=
@NoTopOrder.upperBounds_univ αᵒᵈ _ _
@[deprecated (since := "2025-04-18")]
alias NoMinOrder.lowerBounds_univ := NoBotOrder.lowerBounds_univ
@[simp]
theorem not_bddAbove_univ [NoTopOrder α] : ¬BddAbove (univ : Set α) := by simp [BddAbove]
@[simp]
theorem not_bddBelow_univ [NoBotOrder α] : ¬BddBelow (univ : Set α) :=
@not_bddAbove_univ αᵒᵈ _ _
/-!
#### Empty set
-/
@[simp]
theorem upperBounds_empty : upperBounds (∅ : Set α) = univ := by
simp only [upperBounds, eq_univ_iff_forall, mem_setOf_eq, forall_mem_empty, forall_true_iff]
@[simp]
theorem lowerBounds_empty : lowerBounds (∅ : Set α) = univ :=
@upperBounds_empty αᵒᵈ _
@[simp]
theorem bddAbove_empty [Nonempty α] : BddAbove (∅ : Set α) := by
simp only [BddAbove, upperBounds_empty, univ_nonempty]
@[simp]
theorem bddBelow_empty [Nonempty α] : BddBelow (∅ : Set α) := by
simp only [BddBelow, lowerBounds_empty, univ_nonempty]
@[simp] theorem isGLB_empty_iff : IsGLB ∅ a ↔ IsTop a := by
simp [IsGLB]
@[simp] theorem isLUB_empty_iff : IsLUB ∅ a ↔ IsBot a :=
@isGLB_empty_iff αᵒᵈ _ _
theorem isGLB_empty [OrderTop α] : IsGLB ∅ (⊤ : α) :=
isGLB_empty_iff.2 isTop_top
theorem isLUB_empty [OrderBot α] : IsLUB ∅ (⊥ : α) :=
@isGLB_empty αᵒᵈ _ _
theorem IsLUB.nonempty [NoBotOrder α] (hs : IsLUB s a) : s.Nonempty :=
nonempty_iff_ne_empty.2 fun h =>
not_isBot a fun _ => hs.right <| by rw [h, upperBounds_empty]; exact mem_univ _
theorem IsGLB.nonempty [NoTopOrder α] (hs : IsGLB s a) : s.Nonempty :=
hs.dual.nonempty
theorem nonempty_of_not_bddAbove [ha : Nonempty α] (h : ¬BddAbove s) : s.Nonempty :=
(Nonempty.elim ha) fun x => (not_bddAbove_iff'.1 h x).imp fun _ ha => ha.1
theorem nonempty_of_not_bddBelow [Nonempty α] (h : ¬BddBelow s) : s.Nonempty :=
@nonempty_of_not_bddAbove αᵒᵈ _ _ _ h
/-!
#### insert
-/
/-- Adding a point to a set preserves its boundedness above. -/
@[simp]
theorem bddAbove_insert [IsDirected α (· ≤ ·)] {s : Set α} {a : α} :
BddAbove (insert a s) ↔ BddAbove s := by
simp only [insert_eq, bddAbove_union, bddAbove_singleton, true_and]
protected theorem BddAbove.insert [IsDirected α (· ≤ ·)] {s : Set α} (a : α) :
BddAbove s → BddAbove (insert a s) :=
bddAbove_insert.2
/-- Adding a point to a set preserves its boundedness below. -/
@[simp]
theorem bddBelow_insert [IsDirected α (· ≥ ·)] {s : Set α} {a : α} :
BddBelow (insert a s) ↔ BddBelow s := by
simp only [insert_eq, bddBelow_union, bddBelow_singleton, true_and]
protected theorem BddBelow.insert [IsDirected α (· ≥ ·)] {s : Set α} (a : α) :
BddBelow s → BddBelow (insert a s) :=
bddBelow_insert.2
protected theorem IsLUB.insert [SemilatticeSup γ] (a) {b} {s : Set γ} (hs : IsLUB s b) :
IsLUB (insert a s) (a ⊔ b) := by
rw [insert_eq]
exact isLUB_singleton.union hs
protected theorem IsGLB.insert [SemilatticeInf γ] (a) {b} {s : Set γ} (hs : IsGLB s b) :
IsGLB (insert a s) (a ⊓ b) := by
rw [insert_eq]
exact isGLB_singleton.union hs
protected theorem IsGreatest.insert [LinearOrder γ] (a) {b} {s : Set γ} (hs : IsGreatest s b) :
IsGreatest (insert a s) (max a b) := by
rw [insert_eq]
exact isGreatest_singleton.union hs
protected theorem IsLeast.insert [LinearOrder γ] (a) {b} {s : Set γ} (hs : IsLeast s b) :
IsLeast (insert a s) (min a b) := by
rw [insert_eq]
exact isLeast_singleton.union hs
@[simp]
theorem upperBounds_insert (a : α) (s : Set α) :
upperBounds (insert a s) = Ici a ∩ upperBounds s := by
rw [insert_eq, upperBounds_union, upperBounds_singleton]
@[simp]
theorem lowerBounds_insert (a : α) (s : Set α) :
lowerBounds (insert a s) = Iic a ∩ lowerBounds s := by
rw [insert_eq, lowerBounds_union, lowerBounds_singleton]
/-- When there is a global maximum, every set is bounded above. -/
@[simp]
protected theorem OrderTop.bddAbove [OrderTop α] (s : Set α) : BddAbove s :=
⟨⊤, fun a _ => OrderTop.le_top a⟩
/-- When there is a global minimum, every set is bounded below. -/
@[simp]
protected theorem OrderBot.bddBelow [OrderBot α] (s : Set α) : BddBelow s :=
⟨⊥, fun a _ => OrderBot.bot_le a⟩
/-- Sets are automatically bounded or cobounded in complete lattices. To use the same statements
in complete and conditionally complete lattices but let automation fill automatically the
boundedness proofs in complete lattices, we use the tactic `bddDefault` in the statements,
in the form `(hA : BddAbove A := by bddDefault)`. -/
macro "bddDefault" : tactic =>
`(tactic| first
| apply OrderTop.bddAbove
| apply OrderBot.bddBelow)
/-!
#### Pair
-/
theorem isLUB_pair [SemilatticeSup γ] {a b : γ} : IsLUB {a, b} (a ⊔ b) :=
isLUB_singleton.insert _
theorem isGLB_pair [SemilatticeInf γ] {a b : γ} : IsGLB {a, b} (a ⊓ b) :=
isGLB_singleton.insert _
theorem isLeast_pair [LinearOrder γ] {a b : γ} : IsLeast {a, b} (min a b) :=
isLeast_singleton.insert _
theorem isGreatest_pair [LinearOrder γ] {a b : γ} : IsGreatest {a, b} (max a b) :=
isGreatest_singleton.insert _
/-!
#### Lower/upper bounds
-/
@[simp]
theorem isLUB_lowerBounds : IsLUB (lowerBounds s) a ↔ IsGLB s a :=
⟨fun H => ⟨fun _ hx => H.2 <| subset_upperBounds_lowerBounds s hx, H.1⟩, IsGreatest.isLUB⟩
@[simp]
theorem isGLB_upperBounds : IsGLB (upperBounds s) a ↔ IsLUB s a :=
@isLUB_lowerBounds αᵒᵈ _ _ _
end
/-!
### (In)equalities with the least upper bound and the greatest lower bound
-/
section Preorder
variable [Preorder α] {s : Set α} {a b : α}
theorem lowerBounds_le_upperBounds (ha : a ∈ lowerBounds s) (hb : b ∈ upperBounds s) :
s.Nonempty → a ≤ b
| ⟨_, hc⟩ => le_trans (ha hc) (hb hc)
theorem isGLB_le_isLUB (ha : IsGLB s a) (hb : IsLUB s b) (hs : s.Nonempty) : a ≤ b :=
lowerBounds_le_upperBounds ha.1 hb.1 hs
theorem isLUB_lt_iff (ha : IsLUB s a) : a < b ↔ ∃ c ∈ upperBounds s, c < b :=
⟨fun hb => ⟨a, ha.1, hb⟩, fun ⟨_, hcs, hcb⟩ => lt_of_le_of_lt (ha.2 hcs) hcb⟩
theorem lt_isGLB_iff (ha : IsGLB s a) : b < a ↔ ∃ c ∈ lowerBounds s, b < c :=
isLUB_lt_iff ha.dual
theorem le_of_isLUB_le_isGLB {x y} (ha : IsGLB s a) (hb : IsLUB s b) (hab : b ≤ a) (hx : x ∈ s)
(hy : y ∈ s) : x ≤ y :=
calc
x ≤ b := hb.1 hx
_ ≤ a := hab
_ ≤ y := ha.1 hy
end Preorder
section PartialOrder
variable [PartialOrder α] {s : Set α} {a b : α}
theorem IsLeast.unique (Ha : IsLeast s a) (Hb : IsLeast s b) : a = b :=
le_antisymm (Ha.right Hb.left) (Hb.right Ha.left)
theorem IsLeast.isLeast_iff_eq (Ha : IsLeast s a) : IsLeast s b ↔ a = b :=
Iff.intro Ha.unique fun h => h ▸ Ha
theorem IsGreatest.unique (Ha : IsGreatest s a) (Hb : IsGreatest s b) : a = b :=
le_antisymm (Hb.right Ha.left) (Ha.right Hb.left)
theorem IsGreatest.isGreatest_iff_eq (Ha : IsGreatest s a) : IsGreatest s b ↔ a = b :=
Iff.intro Ha.unique fun h => h ▸ Ha
theorem IsLUB.unique (Ha : IsLUB s a) (Hb : IsLUB s b) : a = b :=
IsLeast.unique Ha Hb
theorem IsGLB.unique (Ha : IsGLB s a) (Hb : IsGLB s b) : a = b :=
IsGreatest.unique Ha Hb
theorem Set.subsingleton_of_isLUB_le_isGLB (Ha : IsGLB s a) (Hb : IsLUB s b) (hab : b ≤ a) :
s.Subsingleton := fun _ hx _ hy =>
le_antisymm (le_of_isLUB_le_isGLB Ha Hb hab hx hy) (le_of_isLUB_le_isGLB Ha Hb hab hy hx)
theorem isGLB_lt_isLUB_of_ne (Ha : IsGLB s a) (Hb : IsLUB s b) {x y} (Hx : x ∈ s) (Hy : y ∈ s)
(Hxy : x ≠ y) : a < b :=
lt_iff_le_not_le.2
⟨lowerBounds_le_upperBounds Ha.1 Hb.1 ⟨x, Hx⟩, fun hab =>
Hxy <| Set.subsingleton_of_isLUB_le_isGLB Ha Hb hab Hx Hy⟩
end PartialOrder
section LinearOrder
variable [LinearOrder α] {s : Set α} {a b : α}
theorem lt_isLUB_iff (h : IsLUB s a) : b < a ↔ ∃ c ∈ s, b < c := by
simp_rw [← not_le, isLUB_le_iff h, mem_upperBounds, not_forall, not_le, exists_prop]
theorem isGLB_lt_iff (h : IsGLB s a) : a < b ↔ ∃ c ∈ s, c < b :=
lt_isLUB_iff h.dual
theorem IsLUB.exists_between (h : IsLUB s a) (hb : b < a) : ∃ c ∈ s, b < c ∧ c ≤ a :=
let ⟨c, hcs, hbc⟩ := (lt_isLUB_iff h).1 hb
⟨c, hcs, hbc, h.1 hcs⟩
theorem IsLUB.exists_between' (h : IsLUB s a) (h' : a ∉ s) (hb : b < a) : ∃ c ∈ s, b < c ∧ c < a :=
let ⟨c, hcs, hbc, hca⟩ := h.exists_between hb
⟨c, hcs, hbc, hca.lt_of_ne fun hac => h' <| hac ▸ hcs⟩
theorem IsGLB.exists_between (h : IsGLB s a) (hb : a < b) : ∃ c ∈ s, a ≤ c ∧ c < b :=
let ⟨c, hcs, hbc⟩ := (isGLB_lt_iff h).1 hb
⟨c, hcs, h.1 hcs, hbc⟩
theorem IsGLB.exists_between' (h : IsGLB s a) (h' : a ∉ s) (hb : a < b) : ∃ c ∈ s, a < c ∧ c < b :=
let ⟨c, hcs, hac, hcb⟩ := h.exists_between hb
⟨c, hcs, hac.lt_of_ne fun hac => h' <| hac.symm ▸ hcs, hcb⟩
end LinearOrder
theorem isGreatest_himp [GeneralizedHeytingAlgebra α] (a b : α) :
IsGreatest {w | w ⊓ a ≤ b} (a ⇨ b) := by
simp [IsGreatest, mem_upperBounds]
theorem isLeast_sdiff [GeneralizedCoheytingAlgebra α] (a b : α) :
IsLeast {w | a ≤ b ⊔ w} (a \ b) := by
simp [IsLeast, mem_lowerBounds]
theorem isGreatest_compl [HeytingAlgebra α] (a : α) :
IsGreatest {w | Disjoint w a} (aᶜ) := by
simpa only [himp_bot, disjoint_iff_inf_le] using isGreatest_himp a ⊥
theorem isLeast_hnot [CoheytingAlgebra α] (a : α) :
IsLeast {w | Codisjoint a w} (￢a) := by
simpa only [CoheytingAlgebra.top_sdiff, codisjoint_iff_le_sup] using isLeast_sdiff ⊤ a
| Mathlib/Order/Bounds/Basic.lean | 1,551 | 1,554 | |
/-
Copyright (c) 2022 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import Mathlib.LinearAlgebra.CliffordAlgebra.Fold
import Mathlib.LinearAlgebra.CliffordAlgebra.Grading
/-!
# The universal property of the even subalgebra
## Main definitions
* `CliffordAlgebra.even Q`: The even subalgebra of `CliffordAlgebra Q`.
* `CliffordAlgebra.EvenHom`: The type of bilinear maps that satisfy the universal property of the
even subalgebra
* `CliffordAlgebra.even.lift`: The universal property of the even subalgebra, which states
that every bilinear map `f` with `f v v = Q v` and `f u v * f v w = Q v • f u w` is in unique
correspondence with an algebra morphism from `CliffordAlgebra.even Q`.
## Implementation notes
The approach here is outlined in "Computing with the universal properties of the Clifford algebra
and the even subalgebra" (to appear).
The broad summary is that we have two tricks available to us for implementing complex recursors on
top of `CliffordAlgebra.lift`: the first is to use morphisms as the output type, such as
`A = Module.End R N` which is how we obtained `CliffordAlgebra.foldr`; and the second is to use
`N = (N', S)` where `N'` is the value we wish to compute, and `S` is some auxiliary state passed
between one recursor invocation and the next.
For the universal property of the even subalgebra, we apply a variant of the first trick again by
choosing `S` to itself be a submodule of morphisms.
-/
namespace CliffordAlgebra
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable {Q : QuadraticForm R M}
-- put this after `Q` since we want to talk about morphisms from `CliffordAlgebra Q` to `A` and
-- that order is more natural
variable {A B : Type*} [Ring A] [Ring B] [Algebra R A] [Algebra R B]
open scoped DirectSum
variable (Q)
/-- The even submodule `CliffordAlgebra.evenOdd Q 0` is also a subalgebra. -/
def even : Subalgebra R (CliffordAlgebra Q) :=
(evenOdd Q 0).toSubalgebra (SetLike.one_mem_graded _) fun _x _y hx hy =>
add_zero (0 : ZMod 2) ▸ SetLike.mul_mem_graded hx hy
@[simp]
theorem even_toSubmodule : Subalgebra.toSubmodule (even Q) = evenOdd Q 0 :=
rfl
variable (A)
/-- The type of bilinear maps which are accepted by `CliffordAlgebra.even.lift`. -/
@[ext]
structure EvenHom where
bilin : M →ₗ[R] M →ₗ[R] A
contract (m : M) : bilin m m = algebraMap R A (Q m)
contract_mid (m₁ m₂ m₃ : M) : bilin m₁ m₂ * bilin m₂ m₃ = Q m₂ • bilin m₁ m₃
variable {A Q}
/-- Compose an `EvenHom` with an `AlgHom` on the output. -/
@[simps]
def EvenHom.compr₂ (g : EvenHom Q A) (f : A →ₐ[R] B) : EvenHom Q B where
bilin := g.bilin.compr₂ f.toLinearMap
contract _m := (f.congr_arg <| g.contract _).trans <| f.commutes _
contract_mid _m₁ _m₂ _m₃ :=
(map_mul f _ _).symm.trans <| (f.congr_arg <| g.contract_mid _ _ _).trans <| map_smul f _ _
variable (Q)
/-- The embedding of pairs of vectors into the even subalgebra, as a bilinear map. -/
nonrec def even.ι : EvenHom Q (even Q) where
bilin :=
LinearMap.mk₂ R (fun m₁ m₂ => ⟨ι Q m₁ * ι Q m₂, ι_mul_ι_mem_evenOdd_zero Q _ _⟩)
(fun _ _ _ => by simp only [LinearMap.map_add, add_mul]; rfl)
(fun _ _ _ => by simp only [LinearMap.map_smul, smul_mul_assoc]; rfl)
(fun _ _ _ => by simp only [LinearMap.map_add, mul_add]; rfl) fun _ _ _ => by
simp only [LinearMap.map_smul, mul_smul_comm]; rfl
contract m := Subtype.ext <| ι_sq_scalar Q m
contract_mid m₁ m₂ m₃ :=
Subtype.ext <|
calc
ι Q m₁ * ι Q m₂ * (ι Q m₂ * ι Q m₃) = ι Q m₁ * (ι Q m₂ * ι Q m₂ * ι Q m₃) := by
simp only [mul_assoc]
_ = Q m₂ • (ι Q m₁ * ι Q m₃) := by rw [Algebra.smul_def, ι_sq_scalar, Algebra.left_comm]
instance : Inhabited (EvenHom Q (even Q)) :=
⟨even.ι Q⟩
variable (f : EvenHom Q A)
/-- Two algebra morphisms from the even subalgebra are equal if they agree on pairs of generators.
See note [partially-applied ext lemmas]. -/
@[ext high]
theorem even.algHom_ext ⦃f g : even Q →ₐ[R] A⦄ (h : (even.ι Q).compr₂ f = (even.ι Q).compr₂ g) :
f = g := by
rw [EvenHom.ext_iff] at h
ext ⟨x, hx⟩
induction x, hx using even_induction with
| algebraMap r =>
exact (f.commutes r).trans (g.commutes r).symm
| add x y hx hy ihx ihy =>
have := congr_arg₂ (· + ·) ihx ihy
exact (map_add f _ _).trans (this.trans <| (map_add g _ _).symm)
| ι_mul_ι_mul m₁ m₂ x hx ih =>
have := congr_arg₂ (· * ·) (LinearMap.congr_fun (LinearMap.congr_fun h m₁) m₂) ih
| exact (map_mul f _ _).trans (this.trans <| (map_mul g _ _).symm)
variable {Q}
namespace even.lift
/-- An auxiliary submodule used to store the half-applied values of `f`.
This is the span of elements `f'` such that `∃ x m₂, ∀ m₁, f' m₁ = f m₁ m₂ * x`. -/
private def S : Submodule R (M →ₗ[R] A) :=
Submodule.span R
{f' | ∃ x m₂, f' = LinearMap.lcomp R _ (f.bilin.flip m₂) (LinearMap.mulRight R x)}
/-- An auxiliary bilinear map that is later passed into `CliffordAlgebra.foldr`. Our desired result
| Mathlib/LinearAlgebra/CliffordAlgebra/Even.lean | 116 | 128 |
/-
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
| Mathlib/Data/Finset/NAry.lean | 446 | 450 |
/-
Copyright (c) 2023 María Inés de Frutos-Fernández. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: María Inés de Frutos-Fernández
-/
import Mathlib.RingTheory.DedekindDomain.AdicValuation
import Mathlib.RingTheory.DedekindDomain.Factorization
import Mathlib.Topology.Algebra.RestrictedProduct
/-!
# The finite adèle ring of a Dedekind domain
We define the ring of finite adèles of a Dedekind domain `R`.
## Main definitions
- `IsDedekindDomain.FiniteAdeleRing` : The finite adèle ring of `R`, defined as the
restricted product `Πʳ_v K_v`. We give this ring a `K`-algebra structure.
## Implementation notes
We are only interested on Dedekind domains of Krull dimension 1 (i.e., not fields). If `R` is a
field, its finite adèle ring is just defined to be the trivial ring.
## References
* [J.W.S. Cassels, A. Fröhlich, *Algebraic Number Theory*][cassels1967algebraic]
## Tags
finite adèle ring, dedekind domain
-/
variable (R : Type*) [CommRing R] [IsDedekindDomain R] {K : Type*}
[Field K] [Algebra R K] [IsFractionRing R K]
namespace IsDedekindDomain
/--
The support of an element `k` of the field of fractions of a Dedekind domain is
the set of maximal ideals of the Dedekind domain at which `k` is not integral.
-/
def HeightOneSpectrum.Support (k : K) : Set (HeightOneSpectrum R) :=
{v : HeightOneSpectrum R | 1 < v.valuation K k}
/--
The support of an element of the field of fractions of a Dedekind domain
is finite.
-/
lemma HeightOneSpectrum.Support.finite (k : K) : (Support R k).Finite := by
-- We write k=n/d.
obtain ⟨⟨n, ⟨d, hd⟩⟩, hk⟩ := IsLocalization.surj (nonZeroDivisors R) k
have hd' : d ≠ 0 := nonZeroDivisors.ne_zero hd
suffices {v : HeightOneSpectrum R | v.valuation K (algebraMap R K d) < 1}.Finite by
apply Set.Finite.subset this
intro v hv
apply_fun v.valuation K at hk
simp only [Valuation.map_mul, valuation_of_algebraMap] at hk
rw [Set.mem_setOf_eq, valuation_of_algebraMap]
have := intValuation_le_one v n
contrapose! this
rw [← intValuation_apply, ← hk, mul_comm]
exact (lt_mul_of_one_lt_right (by simp) hv).trans_le <|
mul_le_mul_of_nonneg_right this (by simp)
simp_rw [valuation_of_algebraMap, intValuation_apply, intValuation_lt_one_iff_dvd]
apply Ideal.finite_factors
simpa only [Submodule.zero_eq_bot, ne_eq, Ideal.span_singleton_eq_bot]
end IsDedekindDomain
noncomputable section
open Function Set IsDedekindDomain.HeightOneSpectrum
namespace IsDedekindDomain
variable (K)
open scoped RestrictedProduct
/-! ### The finite adèle ring of a Dedekind domain
We define the finite adèle ring of `R` as the restricted product over all maximal ideals `v` of `R`
of `adicCompletion` with respect to `adicCompletionIntegers`. We prove that it is a commutative
ring. -/
/--
If `K` is the field of fractions of the Dedekind domain `R` then `FiniteAdeleRing R K` is
the ring of finite adeles of `K`, defined as the restricted product of the completions
`K_v` with respect to the subrings `R_v`. Here `v` runs through the nonzero primes of `R`
and the restricted product is the subring of `∏_v K_v` consisting of elements which
are in `R_v` for all but finitely many `v`.
-/
abbrev FiniteAdeleRing : Type _ :=
Πʳ v : HeightOneSpectrum R, [v.adicCompletion K, v.adicCompletionIntegers K]
namespace FiniteAdeleRing
/--
The canonical map from `K` to the finite adeles of `K`.
The content of the existence of this map is the fact that an element `k` of `K` is integral at
all but finitely many places, which is `IsDedekindDomain.HeightOneSpectrum.Support.finite R k`.
-/
protected def algebraMap : K →+* FiniteAdeleRing R K where
toFun k := ⟨fun i ↦ k, by
simp only [Filter.eventually_cofinite, SetLike.mem_coe, mem_adicCompletionIntegers R K,
adicCompletion, Valued.valuedCompletion_apply, not_le]
exact HeightOneSpectrum.Support.finite R k⟩
map_one' := rfl
map_mul' x y := Subtype.eq <| funext (fun v ↦
UniformSpace.Completion.coe_mul ((WithVal.equiv (valuation K v)).symm x) y)
map_zero' := rfl
map_add' x y := Subtype.eq <| funext (fun v ↦
UniformSpace.Completion.coe_add ((WithVal.equiv (valuation K v)).symm x) y)
instance : Algebra K (FiniteAdeleRing R K) := (FiniteAdeleRing.algebraMap R K).toAlgebra
instance : Algebra R (FiniteAdeleRing R K) := Algebra.compHom _ (algebraMap R K)
instance : IsScalarTower R K (FiniteAdeleRing R K) :=
IsScalarTower.of_algebraMap_eq' rfl
variable {R} in
@[ext]
lemma ext {a₁ a₂ : FiniteAdeleRing R K} (h : ∀ v, a₁ v = a₂ v) : a₁ = a₂ :=
Subtype.ext <| funext h
instance : DFunLike (FiniteAdeleRing R K) (HeightOneSpectrum R) (adicCompletion K) where
coe a := a.1
coe_injective' _a _b h := ext K (congrFun h)
section Topology
instance : IsTopologicalRing (FiniteAdeleRing R K) :=
haveI : Fact (∀ v : HeightOneSpectrum R,
IsOpen (v.adicCompletionIntegers K : Set (v.adicCompletion K))) :=
⟨fun _ ↦ Valued.valuationSubring_isOpen _⟩
RestrictedProduct.isTopologicalRing (fun (v : HeightOneSpectrum R) ↦ v.adicCompletion K)
end Topology
end FiniteAdeleRing
end IsDedekindDomain
| Mathlib/RingTheory/DedekindDomain/FiniteAdeleRing.lean | 239 | 248 | |
/-
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]
| Mathlib/Algebra/Order/ToIntervalMod.lean | 372 | 374 |
/-
Copyright (c) 2020 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import Mathlib.Analysis.Asymptotics.Theta
/-!
# Asymptotic equivalence
In this file, we define the relation `IsEquivalent l u v`, which means that `u-v` is little o of
`v` along the filter `l`.
Unlike `Is(Little|Big)O` relations, this one requires `u` and `v` to have the same codomain `β`.
While the definition only requires `β` to be a `NormedAddCommGroup`, most interesting properties
require it to be a `NormedField`.
## Notations
We introduce the notation `u ~[l] v := IsEquivalent l u v`, which you can use by opening the
`Asymptotics` locale.
## Main results
If `β` is a `NormedAddCommGroup` :
- `_ ~[l] _` is an equivalence relation
- Equivalent statements for `u ~[l] const _ c` :
- If `c ≠ 0`, this is true iff `Tendsto u l (𝓝 c)` (see `isEquivalent_const_iff_tendsto`)
- For `c = 0`, this is true iff `u =ᶠ[l] 0` (see `isEquivalent_zero_iff_eventually_zero`)
If `β` is a `NormedField` :
- Alternative characterization of the relation (see `isEquivalent_iff_exists_eq_mul`) :
`u ~[l] v ↔ ∃ (φ : α → β) (hφ : Tendsto φ l (𝓝 1)), u =ᶠ[l] φ * v`
- Provided some non-vanishing hypothesis, this can be seen as `u ~[l] v ↔ Tendsto (u/v) l (𝓝 1)`
(see `isEquivalent_iff_tendsto_one`)
- For any constant `c`, `u ~[l] v` implies `Tendsto u l (𝓝 c) ↔ Tendsto v l (𝓝 c)`
(see `IsEquivalent.tendsto_nhds_iff`)
- `*` and `/` are compatible with `_ ~[l] _` (see `IsEquivalent.mul` and `IsEquivalent.div`)
If `β` is a `NormedLinearOrderedField` :
- If `u ~[l] v`, we have `Tendsto u l atTop ↔ Tendsto v l atTop`
(see `IsEquivalent.tendsto_atTop_iff`)
## Implementation Notes
Note that `IsEquivalent` takes the parameters `(l : Filter α) (u v : α → β)` in that order.
This is to enable `calc` support, as `calc` requires that the last two explicit arguments are `u v`.
-/
namespace Asymptotics
open Filter Function
open Topology
section NormedAddCommGroup
variable {α β : Type*} [NormedAddCommGroup β]
/-- Two functions `u` and `v` are said to be asymptotically equivalent along a filter `l`
(denoted as `u ~[l] v` in the `Asymptotics` namespace)
when `u x - v x = o(v x)` as `x` converges along `l`. -/
def IsEquivalent (l : Filter α) (u v : α → β) :=
(u - v) =o[l] v
@[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v
variable {u v w : α → β} {l : Filter α}
theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h
nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v :=
(IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _)
theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by
convert h.isLittleO.right_isBigO_add
simp
theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v :=
⟨h.isBigO, h.isBigO_symm⟩
theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u :=
⟨h.isBigO_symm, h.isBigO⟩
@[refl]
theorem IsEquivalent.refl : u ~[l] u := by
rw [IsEquivalent, sub_self]
exact isLittleO_zero _ _
@[symm]
theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u :=
(h.isLittleO.trans_isBigO h.isBigO_symm).symm
@[trans]
theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) :
u ~[l] w :=
(huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO
theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) :
w ~[l] v :=
huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _)
theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) :
u ~[l] w :=
(huv.symm.congr_left hvw).symm
theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by
rw [IsEquivalent, sub_zero]
exact isLittleO_zero_right_iff
theorem isEquivalent_zero_iff_isBigO_zero : u ~[l] 0 ↔ u =O[l] (0 : α → β) := by
refine ⟨IsEquivalent.isBigO, fun h ↦ ?_⟩
rw [isEquivalent_zero_iff_eventually_zero, eventuallyEq_iff_exists_mem]
exact ⟨{ x : α | u x = 0 }, isBigO_zero_right_iff.mp h, fun x hx ↦ hx⟩
theorem isEquivalent_const_iff_tendsto {c : β} (h : c ≠ 0) :
u ~[l] const _ c ↔ Tendsto u l (𝓝 c) := by
simp +unfoldPartialApp only [IsEquivalent, const, isLittleO_const_iff h]
constructor <;> intro h
· have := h.sub (tendsto_const_nhds (x := -c))
simp only [Pi.sub_apply, sub_neg_eq_add, sub_add_cancel, zero_add] at this
exact this
· have := h.sub (tendsto_const_nhds (x := c))
rwa [sub_self] at this
theorem IsEquivalent.tendsto_const {c : β} (hu : u ~[l] const _ c) : Tendsto u l (𝓝 c) := by
rcases em <| c = 0 with rfl | h
· exact (tendsto_congr' <| isEquivalent_zero_iff_eventually_zero.mp hu).mpr tendsto_const_nhds
· exact (isEquivalent_const_iff_tendsto h).mp hu
theorem IsEquivalent.tendsto_nhds {c : β} (huv : u ~[l] v) (hu : Tendsto u l (𝓝 c)) :
Tendsto v l (𝓝 c) := by
by_cases h : c = 0
· subst c
rw [← isLittleO_one_iff ℝ] at hu ⊢
simpa using (huv.symm.isLittleO.trans hu).add hu
· rw [← isEquivalent_const_iff_tendsto h] at hu ⊢
exact huv.symm.trans hu
theorem IsEquivalent.tendsto_nhds_iff {c : β} (huv : u ~[l] v) :
Tendsto u l (𝓝 c) ↔ Tendsto v l (𝓝 c) :=
⟨huv.tendsto_nhds, huv.symm.tendsto_nhds⟩
theorem IsEquivalent.add_isLittleO (huv : u ~[l] v) (hwv : w =o[l] v) : u + w ~[l] v := by
simpa only [IsEquivalent, add_sub_right_comm] using huv.add hwv
theorem IsEquivalent.sub_isLittleO (huv : u ~[l] v) (hwv : w =o[l] v) : u - w ~[l] v := by
simpa only [sub_eq_add_neg] using huv.add_isLittleO hwv.neg_left
theorem IsLittleO.add_isEquivalent (hu : u =o[l] w) (hv : v ~[l] w) : u + v ~[l] w :=
add_comm v u ▸ hv.add_isLittleO hu
theorem IsLittleO.isEquivalent (huv : (u - v) =o[l] v) : u ~[l] v := huv
theorem IsEquivalent.neg (huv : u ~[l] v) : (fun x ↦ -u x) ~[l] fun x ↦ -v x := by
rw [IsEquivalent]
convert huv.isLittleO.neg_left.neg_right
simp [neg_add_eq_sub]
end NormedAddCommGroup
open Asymptotics
section NormedField
variable {α β : Type*} [NormedField β] {u v : α → β} {l : Filter α}
theorem isEquivalent_iff_exists_eq_mul :
u ~[l] v ↔ ∃ (φ : α → β) (_ : Tendsto φ l (𝓝 1)), u =ᶠ[l] φ * v := by
rw [IsEquivalent, isLittleO_iff_exists_eq_mul]
constructor <;> rintro ⟨φ, hφ, h⟩ <;> [refine ⟨φ + 1, ?_, ?_⟩; refine ⟨φ - 1, ?_, ?_⟩]
· conv in 𝓝 _ => rw [← zero_add (1 : β)]
exact hφ.add tendsto_const_nhds
· convert h.add (EventuallyEq.refl l v) <;> simp [add_mul]
· conv in 𝓝 _ => rw [← sub_self (1 : β)]
exact hφ.sub tendsto_const_nhds
· convert h.sub (EventuallyEq.refl l v); simp [sub_mul]
theorem IsEquivalent.exists_eq_mul (huv : u ~[l] v) :
∃ (φ : α → β) (_ : Tendsto φ l (𝓝 1)), u =ᶠ[l] φ * v :=
isEquivalent_iff_exists_eq_mul.mp huv
theorem isEquivalent_of_tendsto_one (hz : ∀ᶠ x in l, v x = 0 → u x = 0)
(huv : Tendsto (u / v) l (𝓝 1)) : u ~[l] v := by
rw [isEquivalent_iff_exists_eq_mul]
exact ⟨u / v, huv, hz.mono fun x hz' ↦ (div_mul_cancel_of_imp hz').symm⟩
theorem isEquivalent_of_tendsto_one' (hz : ∀ x, v x = 0 → u x = 0) (huv : Tendsto (u / v) l (𝓝 1)) :
u ~[l] v :=
isEquivalent_of_tendsto_one (Eventually.of_forall hz) huv
theorem isEquivalent_iff_tendsto_one (hz : ∀ᶠ x in l, v x ≠ 0) :
u ~[l] v ↔ Tendsto (u / v) l (𝓝 1) := by
constructor
· intro hequiv
have := hequiv.isLittleO.tendsto_div_nhds_zero
simp only [Pi.sub_apply, sub_div] at this
have key : Tendsto (fun x ↦ v x / v x) l (𝓝 1) :=
(tendsto_congr' <| hz.mono fun x hnz ↦ @div_self _ _ (v x) hnz).mpr tendsto_const_nhds
convert this.add key
· simp
· norm_num
· exact isEquivalent_of_tendsto_one (hz.mono fun x hnvz hz ↦ (hnvz hz).elim)
end NormedField
section SMul
theorem IsEquivalent.smul {α E 𝕜 : Type*} [NormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E]
{a b : α → 𝕜} {u v : α → E} {l : Filter α} (hab : a ~[l] b) (huv : u ~[l] v) :
(fun x ↦ a x • u x) ~[l] fun x ↦ b x • v x := by
rcases hab.exists_eq_mul with ⟨φ, hφ, habφ⟩
have : ((fun x ↦ a x • u x) - (fun x ↦ b x • v x)) =ᶠ[l] fun x ↦ b x • (φ x • u x - v x) := by
convert (habφ.comp₂ (· • ·) <| EventuallyEq.refl _ u).sub
(EventuallyEq.refl _ fun x ↦ b x • v x) using 1
ext
rw [Pi.mul_apply, mul_comm, mul_smul, ← smul_sub]
refine (isLittleO_congr this.symm <| EventuallyEq.rfl).mp ((isBigO_refl b l).smul_isLittleO ?_)
rcases huv.isBigO.exists_pos with ⟨C, hC, hCuv⟩
rw [IsEquivalent] at *
rw [isLittleO_iff] at *
rw [IsBigOWith] at hCuv
simp only [Metric.tendsto_nhds, dist_eq_norm] at hφ
intro c hc
specialize hφ (c / 2 / C) (div_pos (div_pos hc zero_lt_two) hC)
specialize huv (div_pos hc zero_lt_two)
refine hφ.mp (huv.mp <| hCuv.mono fun x hCuvx huvx hφx ↦ ?_)
have key :=
calc
‖φ x - 1‖ * ‖u x‖ ≤ c / 2 / C * ‖u x‖ := by gcongr
_ ≤ c / 2 / C * (C * ‖v x‖) := by gcongr
_ = c / 2 * ‖v x‖ := by
field_simp [hC.ne.symm]
ring
calc
‖((fun x : α ↦ φ x • u x) - v) x‖ = ‖(φ x - 1) • u x + (u x - v x)‖ := by
simp [sub_smul, sub_add]
_ ≤ ‖(φ x - 1) • u x‖ + ‖u x - v x‖ := norm_add_le _ _
_ = ‖φ x - 1‖ * ‖u x‖ + ‖u x - v x‖ := by rw [norm_smul]
_ ≤ c / 2 * ‖v x‖ + ‖u x - v x‖ := by gcongr
_ ≤ c / 2 * ‖v x‖ + c / 2 * ‖v x‖ := by gcongr; exact huvx
_ = c * ‖v x‖ := by ring
end SMul
section mul_inv
variable {α ι β : Type*} [NormedField β] {t u v w : α → β} {l : Filter α}
protected theorem IsEquivalent.mul (htu : t ~[l] u) (hvw : v ~[l] w) : t * v ~[l] u * w :=
htu.smul hvw
theorem IsEquivalent.listProd {L : List ι} {f g : ι → α → β} (h : ∀ i ∈ L, f i ~[l] g i) :
(fun x ↦ (L.map (f · x)).prod) ~[l] (fun x ↦ (L.map (g · x)).prod) := by
induction L with
| nil => simp [IsEquivalent.refl]
| cons i L ihL =>
simp only [List.forall_mem_cons, List.map_cons, List.prod_cons] at h ⊢
exact h.1.mul (ihL h.2)
theorem IsEquivalent.multisetProd {s : Multiset ι} {f g : ι → α → β} (h : ∀ i ∈ s, f i ~[l] g i) :
(fun x ↦ (s.map (f · x)).prod) ~[l] (fun x ↦ (s.map (g · x)).prod) := by
obtain ⟨l, rfl⟩ : ∃ l : List ι, ↑l = s := Quotient.mk_surjective s
exact listProd h
theorem IsEquivalent.finsetProd {s : Finset ι} {f g : ι → α → β} (h : ∀ i ∈ s, f i ~[l] g i) :
(∏ i ∈ s, f i ·) ~[l] (∏ i ∈ s, g i ·) :=
multisetProd h
protected theorem IsEquivalent.inv (huv : u ~[l] v) : (fun x ↦ (u x)⁻¹) ~[l] fun x ↦ (v x)⁻¹ := by
rw [isEquivalent_iff_exists_eq_mul] at *
rcases huv with ⟨φ, hφ, h⟩
rw [← inv_one]
refine ⟨fun x ↦ (φ x)⁻¹, Tendsto.inv₀ hφ (by norm_num), ?_⟩
convert h.inv
simp [mul_comm]
protected theorem IsEquivalent.div (htu : t ~[l] u) (hvw : v ~[l] w) :
(fun x ↦ t x / v x) ~[l] fun x ↦ u x / w x := by
simpa only [div_eq_mul_inv] using htu.mul hvw.inv
protected theorem IsEquivalent.pow (h : t ~[l] u) (n : ℕ) : t ^ n ~[l] u ^ n := by
induction n with
| zero => simpa using IsEquivalent.refl
| succ _ ih => simpa [pow_succ] using ih.mul h
| protected theorem IsEquivalent.zpow (h : t ~[l] u) (z : ℤ) : t ^ z ~[l] u ^ z := by
match z with
| Int.ofNat _ => simpa using h.pow _
| Int.negSucc _ => simpa using (h.pow _).inv
end mul_inv
| Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean | 294 | 300 |
/-
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.Splits
import Mathlib.FieldTheory.RatFunc.AsPolynomial
import Mathlib.NumberTheory.ArithmeticFunction
import Mathlib.RingTheory.RootsOfUnity.Complex
/-!
# Cyclotomic polynomials.
For `n : ℕ` and an integral domain `R`, we define a modified version of the `n`-th cyclotomic
polynomial with coefficients in `R`, denoted `cyclotomic' n R`, as `∏ (X - μ)`, where `μ` varies
over the primitive `n`th roots of unity. If there is a primitive `n`th root of unity in `R` then
this the standard definition. We then define the standard cyclotomic polynomial `cyclotomic n R`
with coefficients in any ring `R`.
## Main definition
* `cyclotomic n R` : the `n`-th cyclotomic polynomial with coefficients in `R`.
## Main results
* `Polynomial.degree_cyclotomic` : The degree of `cyclotomic n` is `totient n`.
* `Polynomial.prod_cyclotomic_eq_X_pow_sub_one` : `X ^ n - 1 = ∏ (cyclotomic i)`, where `i`
divides `n`.
* `Polynomial.cyclotomic_eq_prod_X_pow_sub_one_pow_moebius` : The Möbius inversion formula for
`cyclotomic n R` over an abstract fraction field for `R[X]`.
## Implementation details
Our definition of `cyclotomic' n R` makes sense in any integral domain `R`, but the interesting
results hold if there is a primitive `n`-th root of unity in `R`. In particular, our definition is
not the standard one unless there is a primitive `n`th root of unity in `R`. For example,
`cyclotomic' 3 ℤ = 1`, since there are no primitive cube roots of unity in `ℤ`. The main example is
`R = ℂ`, we decided to work in general since the difficulties are essentially the same.
To get the standard cyclotomic polynomials, we use `unique_int_coeff_of_cycl`, with `R = ℂ`,
to get a polynomial with integer coefficients and then we map it to `R[X]`, for any ring `R`.
-/
open scoped Polynomial
noncomputable section
universe u
namespace Polynomial
section Cyclotomic'
section IsDomain
variable {R : Type*} [CommRing R] [IsDomain R]
/-- The modified `n`-th cyclotomic polynomial with coefficients in `R`, it is the usual cyclotomic
polynomial if there is a primitive `n`-th root of unity in `R`. -/
def cyclotomic' (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : R[X] :=
∏ μ ∈ primitiveRoots n R, (X - C μ)
/-- The zeroth modified cyclotomic polyomial is `1`. -/
@[simp]
theorem cyclotomic'_zero (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 0 R = 1 := by
simp only [cyclotomic', Finset.prod_empty, primitiveRoots_zero]
/-- The first modified cyclotomic polyomial is `X - 1`. -/
@[simp]
theorem cyclotomic'_one (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 1 R = X - 1 := by
simp only [cyclotomic', Finset.prod_singleton, RingHom.map_one,
IsPrimitiveRoot.primitiveRoots_one]
/-- The second modified cyclotomic polyomial is `X + 1` if the characteristic of `R` is not `2`. -/
@[simp]
theorem cyclotomic'_two (R : Type*) [CommRing R] [IsDomain R] (p : ℕ) [CharP R p] (hp : p ≠ 2) :
cyclotomic' 2 R = X + 1 := by
rw [cyclotomic']
have prim_root_two : primitiveRoots 2 R = {(-1 : R)} := by
simp only [Finset.eq_singleton_iff_unique_mem, mem_primitiveRoots two_pos]
exact ⟨IsPrimitiveRoot.neg_one p hp, fun x => IsPrimitiveRoot.eq_neg_one_of_two_right⟩
simp only [prim_root_two, Finset.prod_singleton, RingHom.map_neg, RingHom.map_one, sub_neg_eq_add]
/-- `cyclotomic' n R` is monic. -/
theorem cyclotomic'.monic (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] :
(cyclotomic' n R).Monic :=
monic_prod_of_monic _ _ fun _ _ => monic_X_sub_C _
/-- `cyclotomic' n R` is different from `0`. -/
theorem cyclotomic'_ne_zero (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' n R ≠ 0 :=
(cyclotomic'.monic n R).ne_zero
/-- The natural degree of `cyclotomic' n R` is `totient n` if there is a primitive root of
unity in `R`. -/
theorem natDegree_cyclotomic' {ζ : R} {n : ℕ} (h : IsPrimitiveRoot ζ n) :
(cyclotomic' n R).natDegree = Nat.totient n := by
rw [cyclotomic']
rw [natDegree_prod (primitiveRoots n R) fun z : R => X - C z]
· simp only [IsPrimitiveRoot.card_primitiveRoots h, mul_one, natDegree_X_sub_C, Nat.cast_id,
Finset.sum_const, nsmul_eq_mul]
intro z _
exact X_sub_C_ne_zero z
/-- The degree of `cyclotomic' n R` is `totient n` if there is a primitive root of unity in `R`. -/
theorem degree_cyclotomic' {ζ : R} {n : ℕ} (h : IsPrimitiveRoot ζ n) :
(cyclotomic' n R).degree = Nat.totient n := by
simp only [degree_eq_natDegree (cyclotomic'_ne_zero n R), natDegree_cyclotomic' h]
/-- The roots of `cyclotomic' n R` are the primitive `n`-th roots of unity. -/
theorem roots_of_cyclotomic (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] :
(cyclotomic' n R).roots = (primitiveRoots n R).val := by
rw [cyclotomic']; exact roots_prod_X_sub_C (primitiveRoots n R)
/-- If there is a primitive `n`th root of unity in `K`, then `X ^ n - 1 = ∏ (X - μ)`, where `μ`
varies over the `n`-th roots of unity. -/
theorem X_pow_sub_one_eq_prod {ζ : R} {n : ℕ} (hpos : 0 < n) (h : IsPrimitiveRoot ζ n) :
X ^ n - 1 = ∏ ζ ∈ nthRootsFinset n (1 : R), (X - C ζ) := by
classical
rw [nthRootsFinset, ← Multiset.toFinset_eq (IsPrimitiveRoot.nthRoots_one_nodup h)]
simp only [Finset.prod_mk, RingHom.map_one]
rw [nthRoots]
have hmonic : (X ^ n - C (1 : R)).Monic := monic_X_pow_sub_C (1 : R) (ne_of_lt hpos).symm
symm
apply prod_multiset_X_sub_C_of_monic_of_roots_card_eq hmonic
rw [@natDegree_X_pow_sub_C R _ _ n 1, ← nthRoots]
exact IsPrimitiveRoot.card_nthRoots_one h
end IsDomain
section Field
variable {K : Type*} [Field K]
/-- `cyclotomic' n K` splits. -/
theorem cyclotomic'_splits (n : ℕ) : Splits (RingHom.id K) (cyclotomic' n K) := by
apply splits_prod (RingHom.id K)
intro z _
simp only [splits_X_sub_C (RingHom.id K)]
/-- If there is a primitive `n`-th root of unity in `K`, then `X ^ n - 1` splits. -/
theorem X_pow_sub_one_splits {ζ : K} {n : ℕ} (h : IsPrimitiveRoot ζ n) :
Splits (RingHom.id K) (X ^ n - C (1 : K)) := by
rw [splits_iff_card_roots, ← nthRoots, IsPrimitiveRoot.card_nthRoots_one h, natDegree_X_pow_sub_C]
/-- If there is a primitive `n`-th root of unity in `K`, then
`∏ i ∈ Nat.divisors n, cyclotomic' i K = X ^ n - 1`. -/
theorem prod_cyclotomic'_eq_X_pow_sub_one {K : Type*} [CommRing K] [IsDomain K] {ζ : K} {n : ℕ}
(hpos : 0 < n) (h : IsPrimitiveRoot ζ n) :
∏ i ∈ Nat.divisors n, cyclotomic' i K = X ^ n - 1 := by
classical
have hd : (n.divisors : Set ℕ).PairwiseDisjoint fun k => primitiveRoots k K :=
fun x _ y _ hne => IsPrimitiveRoot.disjoint hne
simp only [X_pow_sub_one_eq_prod hpos h, cyclotomic', ← Finset.prod_biUnion hd,
IsPrimitiveRoot.nthRoots_one_eq_biUnion_primitiveRoots]
/-- If there is a primitive `n`-th root of unity in `K`, then
`cyclotomic' n K = (X ^ k - 1) /ₘ (∏ i ∈ Nat.properDivisors k, cyclotomic' i K)`. -/
theorem cyclotomic'_eq_X_pow_sub_one_div {K : Type*} [CommRing K] [IsDomain K] {ζ : K} {n : ℕ}
(hpos : 0 < n) (h : IsPrimitiveRoot ζ n) :
cyclotomic' n K = (X ^ n - 1) /ₘ ∏ i ∈ Nat.properDivisors n, cyclotomic' i K := by
rw [← prod_cyclotomic'_eq_X_pow_sub_one hpos h, ← Nat.cons_self_properDivisors hpos.ne',
Finset.prod_cons]
have prod_monic : (∏ i ∈ Nat.properDivisors n, cyclotomic' i K).Monic := by
apply monic_prod_of_monic
intro i _
exact cyclotomic'.monic i K
rw [(div_modByMonic_unique (cyclotomic' n K) 0 prod_monic _).1]
simp only [degree_zero, zero_add]
refine ⟨by rw [mul_comm], ?_⟩
rw [bot_lt_iff_ne_bot]
intro h
exact Monic.ne_zero prod_monic (degree_eq_bot.1 h)
/-- If there is a primitive `n`-th root of unity in `K`, then `cyclotomic' n K` comes from a
monic polynomial with integer coefficients. -/
theorem int_coeff_of_cyclotomic' {K : Type*} [CommRing K] [IsDomain K] {ζ : K} {n : ℕ}
(h : IsPrimitiveRoot ζ n) : ∃ P : ℤ[X], map (Int.castRingHom K) P =
cyclotomic' n K ∧ P.degree = (cyclotomic' n K).degree ∧ P.Monic := by
refine lifts_and_degree_eq_and_monic ?_ (cyclotomic'.monic n K)
induction' n using Nat.strong_induction_on with k ihk generalizing ζ
rcases k.eq_zero_or_pos with (rfl | hpos)
· use 1
simp only [cyclotomic'_zero, coe_mapRingHom, Polynomial.map_one]
let B : K[X] := ∏ i ∈ Nat.properDivisors k, cyclotomic' i K
have Bmo : B.Monic := by
apply monic_prod_of_monic
intro i _
exact cyclotomic'.monic i K
have Bint : B ∈ lifts (Int.castRingHom K) := by
refine Subsemiring.prod_mem (lifts (Int.castRingHom K)) ?_
intro x hx
have xsmall := (Nat.mem_properDivisors.1 hx).2
obtain ⟨d, hd⟩ := (Nat.mem_properDivisors.1 hx).1
rw [mul_comm] at hd
exact ihk x xsmall (h.pow hpos hd)
replace Bint := lifts_and_degree_eq_and_monic Bint Bmo
obtain ⟨B₁, hB₁, _, hB₁mo⟩ := Bint
let Q₁ : ℤ[X] := (X ^ k - 1) /ₘ B₁
have huniq : 0 + B * cyclotomic' k K = X ^ k - 1 ∧ (0 : K[X]).degree < B.degree := by
| constructor
· rw [zero_add, mul_comm, ← prod_cyclotomic'_eq_X_pow_sub_one hpos h, ←
Nat.cons_self_properDivisors hpos.ne', Finset.prod_cons]
· simpa only [degree_zero, bot_lt_iff_ne_bot, Ne, degree_eq_bot] using Bmo.ne_zero
replace huniq := div_modByMonic_unique (cyclotomic' k K) (0 : K[X]) Bmo huniq
simp only [lifts, RingHom.mem_rangeS]
use Q₁
rw [coe_mapRingHom, map_divByMonic (Int.castRingHom K) hB₁mo, hB₁, ← huniq.1]
simp
/-- If `K` is of characteristic `0` and there is a primitive `n`-th root of unity in `K`,
then `cyclotomic n K` comes from a unique polynomial with integer coefficients. -/
theorem unique_int_coeff_of_cycl {K : Type*} [CommRing K] [IsDomain K] [CharZero K] {ζ : K}
{n : ℕ+} (h : IsPrimitiveRoot ζ n) :
∃! P : ℤ[X], map (Int.castRingHom K) P = cyclotomic' n K := by
obtain ⟨P, hP⟩ := int_coeff_of_cyclotomic' h
refine ⟨P, hP.1, fun Q hQ => ?_⟩
apply map_injective (Int.castRingHom K) Int.cast_injective
rw [hP.1, hQ]
end Field
end Cyclotomic'
section Cyclotomic
/-- The `n`-th cyclotomic polynomial with coefficients in `R`. -/
def cyclotomic (n : ℕ) (R : Type*) [Ring R] : R[X] :=
if h : n = 0 then 1
else map (Int.castRingHom R) (int_coeff_of_cyclotomic' (Complex.isPrimitiveRoot_exp n h)).choose
theorem int_cyclotomic_rw {n : ℕ} (h : n ≠ 0) :
cyclotomic n ℤ = (int_coeff_of_cyclotomic' (Complex.isPrimitiveRoot_exp n h)).choose := by
| Mathlib/RingTheory/Polynomial/Cyclotomic/Basic.lean | 200 | 232 |
/-
Copyright (c) 2018 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.Algebra.BigOperators.Expect
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
import Mathlib.Algebra.Order.Field.Canonical
import Mathlib.Algebra.Order.Nonneg.Floor
import Mathlib.Data.Real.Pointwise
import Mathlib.Data.NNReal.Defs
import Mathlib.Order.ConditionallyCompleteLattice.Group
/-!
# Basic results on nonnegative real numbers
This file contains all results on `NNReal` that do not directly follow from its basic structure.
As a consequence, it is a bit of a random collection of results, and is a good target for cleanup.
## Notations
This file uses `ℝ≥0` as a localized notation for `NNReal`.
-/
assert_not_exists Star
open Function
open scoped BigOperators
namespace NNReal
noncomputable instance : FloorSemiring ℝ≥0 := Nonneg.floorSemiring
@[simp, norm_cast]
theorem coe_indicator {α} (s : Set α) (f : α → ℝ≥0) (a : α) :
((s.indicator f a : ℝ≥0) : ℝ) = s.indicator (fun x => ↑(f x)) a :=
(toRealHom : ℝ≥0 →+ ℝ).map_indicator _ _ _
@[norm_cast]
theorem coe_list_sum (l : List ℝ≥0) : ((l.sum : ℝ≥0) : ℝ) = (l.map (↑)).sum :=
map_list_sum toRealHom l
@[norm_cast]
theorem coe_list_prod (l : List ℝ≥0) : ((l.prod : ℝ≥0) : ℝ) = (l.map (↑)).prod :=
map_list_prod toRealHom l
@[norm_cast]
theorem coe_multiset_sum (s : Multiset ℝ≥0) : ((s.sum : ℝ≥0) : ℝ) = (s.map (↑)).sum :=
map_multiset_sum toRealHom s
@[norm_cast]
theorem coe_multiset_prod (s : Multiset ℝ≥0) : ((s.prod : ℝ≥0) : ℝ) = (s.map (↑)).prod :=
map_multiset_prod toRealHom s
variable {ι : Type*} {s : Finset ι} {f : ι → ℝ}
@[simp, norm_cast]
theorem coe_sum (s : Finset ι) (f : ι → ℝ≥0) : ∑ i ∈ s, f i = ∑ i ∈ s, (f i : ℝ) :=
map_sum toRealHom _ _
@[simp, norm_cast]
lemma coe_expect (s : Finset ι) (f : ι → ℝ≥0) : 𝔼 i ∈ s, f i = 𝔼 i ∈ s, (f i : ℝ) :=
map_expect toRealHom ..
theorem _root_.Real.toNNReal_sum_of_nonneg (hf : ∀ i ∈ s, 0 ≤ f i) :
Real.toNNReal (∑ a ∈ s, f a) = ∑ a ∈ s, Real.toNNReal (f a) := by
rw [← coe_inj, NNReal.coe_sum, Real.coe_toNNReal _ (Finset.sum_nonneg hf)]
exact Finset.sum_congr rfl fun x hxs => by rw [Real.coe_toNNReal _ (hf x hxs)]
@[simp, norm_cast]
theorem coe_prod (s : Finset ι) (f : ι → ℝ≥0) : ↑(∏ a ∈ s, f a) = ∏ a ∈ s, (f a : ℝ) :=
map_prod toRealHom _ _
theorem _root_.Real.toNNReal_prod_of_nonneg (hf : ∀ a, a ∈ s → 0 ≤ f a) :
Real.toNNReal (∏ a ∈ s, f a) = ∏ a ∈ s, Real.toNNReal (f a) := by
rw [← coe_inj, NNReal.coe_prod, Real.coe_toNNReal _ (Finset.prod_nonneg hf)]
exact Finset.prod_congr rfl fun x hxs => by rw [Real.coe_toNNReal _ (hf x hxs)]
theorem le_iInf_add_iInf {ι ι' : Sort*} [Nonempty ι] [Nonempty ι'] {f : ι → ℝ≥0} {g : ι' → ℝ≥0}
{a : ℝ≥0} (h : ∀ i j, a ≤ f i + g j) : a ≤ (⨅ i, f i) + ⨅ j, g j := by
rw [← NNReal.coe_le_coe, NNReal.coe_add, coe_iInf, coe_iInf]
exact le_ciInf_add_ciInf h
theorem mul_finset_sup {α} (r : ℝ≥0) (s : Finset α) (f : α → ℝ≥0) :
r * s.sup f = s.sup fun a => r * f a :=
Finset.comp_sup_eq_sup_comp _ (NNReal.mul_sup r) (mul_zero r)
theorem finset_sup_mul {α} (s : Finset α) (f : α → ℝ≥0) (r : ℝ≥0) :
s.sup f * r = s.sup fun a => f a * r :=
Finset.comp_sup_eq_sup_comp (· * r) (fun x y => NNReal.sup_mul x y r) (zero_mul r)
theorem finset_sup_div {α} {f : α → ℝ≥0} {s : Finset α} (r : ℝ≥0) :
s.sup f / r = s.sup fun a => f a / r := by simp only [div_eq_inv_mul, mul_finset_sup]
open Real
section Sub
/-!
### Lemmas about subtraction
In this section we provide a few lemmas about subtraction that do not fit well into any other
typeclass. For lemmas about subtraction and addition see lemmas about `OrderedSub` in the file
`Mathlib.Algebra.Order.Sub.Basic`. See also `mul_tsub` and `tsub_mul`.
-/
theorem sub_div (a b c : ℝ≥0) : (a - b) / c = a / c - b / c :=
tsub_div _ _ _
end Sub
section Csupr
open Set
variable {ι : Sort*} {f : ι → ℝ≥0}
theorem iInf_mul (f : ι → ℝ≥0) (a : ℝ≥0) : iInf f * a = ⨅ i, f i * a := by
rw [← coe_inj, NNReal.coe_mul, coe_iInf, coe_iInf]
exact Real.iInf_mul_of_nonneg (NNReal.coe_nonneg _) _
theorem mul_iInf (f : ι → ℝ≥0) (a : ℝ≥0) : a * iInf f = ⨅ i, a * f i := by
simpa only [mul_comm] using iInf_mul f a
theorem mul_iSup (f : ι → ℝ≥0) (a : ℝ≥0) : (a * ⨆ i, f i) = ⨆ i, a * f i := by
rw [← coe_inj, NNReal.coe_mul, NNReal.coe_iSup, NNReal.coe_iSup]
exact Real.mul_iSup_of_nonneg (NNReal.coe_nonneg _) _
theorem iSup_mul (f : ι → ℝ≥0) (a : ℝ≥0) : (⨆ i, f i) * a = ⨆ i, f i * a := by
rw [mul_comm, mul_iSup]
simp_rw [mul_comm]
theorem iSup_div (f : ι → ℝ≥0) (a : ℝ≥0) : (⨆ i, f i) / a = ⨆ i, f i / a := by
simp only [div_eq_mul_inv, iSup_mul]
theorem mul_iSup_le {a : ℝ≥0} {g : ℝ≥0} {h : ι → ℝ≥0} (H : ∀ j, g * h j ≤ a) : g * iSup h ≤ a := by
rw [mul_iSup]
exact ciSup_le' H
theorem iSup_mul_le {a : ℝ≥0} {g : ι → ℝ≥0} {h : ℝ≥0} (H : ∀ i, g i * h ≤ a) : iSup g * h ≤ a := by
rw [iSup_mul]
exact ciSup_le' H
theorem iSup_mul_iSup_le {a : ℝ≥0} {g h : ι → ℝ≥0} (H : ∀ i j, g i * h j ≤ a) :
iSup g * iSup h ≤ a :=
iSup_mul_le fun _ => mul_iSup_le <| H _
variable [Nonempty ι]
theorem le_mul_iInf {a : ℝ≥0} {g : ℝ≥0} {h : ι → ℝ≥0} (H : ∀ j, a ≤ g * h j) : a ≤ g * iInf h := by
rw [mul_iInf]
exact le_ciInf H
theorem le_iInf_mul {a : ℝ≥0} {g : ι → ℝ≥0} {h : ℝ≥0} (H : ∀ i, a ≤ g i * h) : a ≤ iInf g * h := by
rw [iInf_mul]
exact le_ciInf H
theorem le_iInf_mul_iInf {a : ℝ≥0} {g h : ι → ℝ≥0} (H : ∀ i j, a ≤ g i * h j) :
a ≤ iInf g * iInf h :=
le_iInf_mul fun i => le_mul_iInf <| H i
end Csupr
end NNReal
| Mathlib/Data/NNReal/Basic.lean | 949 | 950 | |
/-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad, Mario Carneiro
-/
import Mathlib.Algebra.BigOperators.Ring.List
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Data.Nat.Prime.Basic
import Mathlib.Data.List.Prime
import Mathlib.Data.List.Sort
import Mathlib.Data.List.Perm.Subperm
/-!
# Prime numbers
This file deals with the factors of natural numbers.
## Important declarations
- `Nat.factors n`: the prime factorization of `n`
- `Nat.factors_unique`: uniqueness of the prime factorisation
-/
assert_not_exists Multiset
open Bool Subtype
open Nat
namespace Nat
/-- `primeFactorsList n` is the prime factorization of `n`, listed in increasing order. -/
def primeFactorsList : ℕ → List ℕ
| 0 => []
| 1 => []
| k + 2 =>
let m := minFac (k + 2)
m :: primeFactorsList ((k + 2) / m)
decreasing_by exact factors_lemma
@[simp]
theorem primeFactorsList_zero : primeFactorsList 0 = [] := by rw [primeFactorsList]
| @[simp]
| Mathlib/Data/Nat/Factors.lean | 45 | 45 |
/-
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.RingTheory.WittVector.FrobeniusFractionField
/-!
## F-isocrystals over a perfect field
When `k` is an integral domain, so is `𝕎 k`, and we can consider its field of fractions `K(p, k)`.
The endomorphism `WittVector.frobenius` lifts to `φ : K(p, k) → K(p, k)`; if `k` is perfect, `φ` is
an automorphism.
Let `k` be a perfect integral domain. Let `V` be a vector space over `K(p,k)`.
An *isocrystal* is a bijective map `V → V` that is `φ`-semilinear.
A theorem of Dieudonné and Manin classifies the finite-dimensional isocrystals over algebraically
closed fields. In the one-dimensional case, this classification states that the isocrystal
structures are parametrized by their "slope" `m : ℤ`.
Any one-dimensional isocrystal is isomorphic to `φ(p^m • x) : K(p,k) → K(p,k)` for some `m`.
This file proves this one-dimensional case of the classification theorem.
The construction is described in Dupuis, Lewis, and Macbeth,
[Formalized functional analysis via semilinear maps][dupuis-lewis-macbeth2022].
## Main declarations
* `WittVector.Isocrystal`: a vector space over the field `K(p, k)` additionally equipped with a
Frobenius-linear automorphism.
* `WittVector.isocrystal_classification`: a one-dimensional isocrystal admits an isomorphism to one
of the standard one-dimensional isocrystals.
## Notation
This file introduces notation in the locale `Isocrystal`.
* `K(p, k)`: `FractionRing (WittVector p k)`
* `φ(p, k)`: `WittVector.FractionRing.frobeniusRingHom p k`
* `M →ᶠˡ[p, k] M₂`: `LinearMap (WittVector.FractionRing.frobeniusRingHom p k) M M₂`
* `M ≃ᶠˡ[p, k] M₂`: `LinearEquiv (WittVector.FractionRing.frobeniusRingHom p k) M M₂`
* `Φ(p, k)`: `WittVector.Isocrystal.frobenius p k`
* `M →ᶠⁱ[p, k] M₂`: `WittVector.IsocrystalHom p k M M₂`
* `M ≃ᶠⁱ[p, k] M₂`: `WittVector.IsocrystalEquiv p k M M₂`
## References
* [Formalized functional analysis via semilinear maps][dupuis-lewis-macbeth2022]
* [Theory of commutative formal groups over fields of finite characteristic][manin1963]
* <https://www.math.ias.edu/~lurie/205notes/Lecture26-Isocrystals.pdf>
-/
noncomputable section
open Module
namespace WittVector
variable (p : ℕ) [Fact p.Prime]
variable (k : Type*) [CommRing k]
/-- The fraction ring of the space of `p`-Witt vectors on `k` -/
scoped[Isocrystal] notation "K(" p ", " k ")" => FractionRing (WittVector p k)
open Isocrystal
section PerfectRing
variable [IsDomain k] [CharP k p] [PerfectRing k p]
/-! ### Frobenius-linear maps -/
/-- The Frobenius automorphism of `k` induces an automorphism of `K`. -/
def FractionRing.frobenius : K(p, k) ≃+* K(p, k) :=
IsFractionRing.ringEquivOfRingEquiv (frobeniusEquiv p k)
/-- The Frobenius automorphism of `k` induces an endomorphism of `K`. For notation purposes.
Notation `φ(p, k)` in the `Isocrystal` namespace. -/
def FractionRing.frobeniusRingHom : K(p, k) →+* K(p, k) :=
FractionRing.frobenius p k
@[inherit_doc]
scoped[Isocrystal] notation "φ(" p ", " k ")" => WittVector.FractionRing.frobeniusRingHom p k
instance inv_pair₁ : RingHomInvPair φ(p, k) (FractionRing.frobenius p k).symm :=
RingHomInvPair.of_ringEquiv (FractionRing.frobenius p k)
instance inv_pair₂ : RingHomInvPair ((FractionRing.frobenius p k).symm : K(p, k) →+* K(p, k))
(FractionRing.frobenius p k) :=
RingHomInvPair.of_ringEquiv (FractionRing.frobenius p k).symm
/-- The Frobenius automorphism of `k`, as a linear map -/
scoped[Isocrystal]
notation3:50 M " →ᶠˡ[" p ", " k "] " M₂ =>
LinearMap (WittVector.FractionRing.frobeniusRingHom p k) M M₂
/-- The Frobenius automorphism of `k`, as a linear equivalence -/
scoped[Isocrystal]
notation3:50 M " ≃ᶠˡ[" p ", " k "] " M₂ =>
LinearEquiv (WittVector.FractionRing.frobeniusRingHom p k) M M₂
/-! ### Isocrystals -/
/-- An isocrystal is a vector space over the field `K(p, k)` additionally equipped with a
Frobenius-linear automorphism.
-/
class Isocrystal (V : Type*) [AddCommGroup V] extends Module K(p, k) V where
frob : V ≃ᶠˡ[p, k] V
open WittVector
variable (V : Type*) [AddCommGroup V] [Isocrystal p k V]
variable (V₂ : Type*) [AddCommGroup V₂] [Isocrystal p k V₂]
variable {V} in
/--
Project the Frobenius automorphism from an isocrystal. Denoted by `Φ(p, k)` when V can be inferred.
-/
def Isocrystal.frobenius : V ≃ᶠˡ[p, k] V :=
Isocrystal.frob (p := p) (k := k) (V := V)
@[inherit_doc] scoped[Isocrystal] notation "Φ(" p ", " k ")" => WittVector.Isocrystal.frobenius p k
/-- A homomorphism between isocrystals respects the Frobenius map.
Notation `M →ᶠⁱ [p, k]` in the `Isocrystal` namespace. -/
structure IsocrystalHom extends V →ₗ[K(p, k)] V₂ where
frob_equivariant : ∀ x : V, Φ(p, k) (toLinearMap x) = toLinearMap (Φ(p, k) x)
/-- An isomorphism between isocrystals respects the Frobenius map.
Notation `M ≃ᶠⁱ [p, k]` in the `Isocrystal` namespace. -/
structure IsocrystalEquiv extends V ≃ₗ[K(p, k)] V₂ where
frob_equivariant : ∀ x : V, Φ(p, k) (toLinearEquiv x) = toLinearEquiv (Φ(p, k) x)
@[inherit_doc] scoped[Isocrystal]
notation:50 M " →ᶠⁱ[" p ", " k "] " M₂ => WittVector.IsocrystalHom p k M M₂
@[inherit_doc] scoped[Isocrystal]
notation:50 M " ≃ᶠⁱ[" p ", " k "] " M₂ => WittVector.IsocrystalEquiv p k M M₂
end PerfectRing
open scoped Isocrystal
/-! ### Classification of isocrystals in dimension 1 -/
/-- Type synonym for `K(p, k)` to carry the standard 1-dimensional isocrystal structure
of slope `m : ℤ`.
-/
@[nolint unusedArguments]
def StandardOneDimIsocrystal (_m : ℤ) : Type _ :=
K(p, k)
-- The `AddCommGroup, Module K(p, k)` instances should be constructed by a deriving handler.
-- https://github.com/leanprover-community/mathlib4/issues/380
section Deriving
instance {m : ℤ} : AddCommGroup (StandardOneDimIsocrystal p k m) :=
inferInstanceAs (AddCommGroup K(p, k))
instance {m : ℤ} : Module K(p, k) (StandardOneDimIsocrystal p k m) :=
inferInstanceAs (Module K(p, k) K(p, k))
end Deriving
section PerfectRing
variable [IsDomain k] [CharP k p] [PerfectRing k p]
/-- The standard one-dimensional isocrystal of slope `m : ℤ` is an isocrystal. -/
instance (m : ℤ) : Isocrystal p k (StandardOneDimIsocrystal p k m) where
frob :=
(FractionRing.frobenius p k).toSemilinearEquiv.trans
(LinearEquiv.smulOfNeZero _ _ _ (zpow_ne_zero m (WittVector.FractionRing.p_nonzero p k)))
@[simp]
theorem StandardOneDimIsocrystal.frobenius_apply (m : ℤ) (x : StandardOneDimIsocrystal p k m) :
Φ(p, k) x = (p : K(p, k)) ^ m • φ(p, k) x := rfl
end PerfectRing
/-- A one-dimensional isocrystal over an algebraically closed field
admits an isomorphism to one of the standard (indexed by `m : ℤ`) one-dimensional isocrystals. -/
theorem isocrystal_classification (k : Type*) [Field k] [IsAlgClosed k] [CharP k p] (V : Type*)
[AddCommGroup V] [Isocrystal p k V] (h_dim : finrank K(p, k) V = 1) :
∃ m : ℤ, Nonempty (StandardOneDimIsocrystal p k m ≃ᶠⁱ[p, k] V) := by
haveI : Nontrivial V := Module.nontrivial_of_finrank_eq_succ h_dim
obtain ⟨x, hx⟩ : ∃ x : V, x ≠ 0 := exists_ne 0
have : Φ(p, k) x ≠ 0 := by simpa only [map_zero] using Φ(p, k).injective.ne hx
obtain ⟨a, ha, hax⟩ : ∃ a : K(p, k), a ≠ 0 ∧ Φ(p, k) x = a • x := by
rw [finrank_eq_one_iff_of_nonzero' x hx] at h_dim
| obtain ⟨a, ha⟩ := h_dim (Φ(p, k) x)
refine ⟨a, ?_, ha.symm⟩
intro ha'
apply this
simp only [← ha, ha', zero_smul]
obtain ⟨b, hb, m, hmb⟩ := WittVector.exists_frobenius_solution_fractionRing p ha
replace hmb : φ(p, k) b * a = (p : K(p, k)) ^ m * b := by convert hmb
use m
let F₀ : StandardOneDimIsocrystal p k m →ₗ[K(p, k)] V := LinearMap.toSpanSingleton K(p, k) V x
let F : StandardOneDimIsocrystal p k m ≃ₗ[K(p, k)] V := by
refine LinearEquiv.ofBijective F₀ ⟨?_, ?_⟩
· rw [← LinearMap.ker_eq_bot]
exact LinearMap.ker_toSpanSingleton K(p, k) V hx
· rw [← LinearMap.range_eq_top]
rw [← (finrank_eq_one_iff_of_nonzero x hx).mp h_dim]
rw [LinearMap.span_singleton_eq_range]
refine ⟨⟨(LinearEquiv.smulOfNeZero K(p, k) _ _ hb).trans F, fun c ↦ ?_⟩⟩
rw [LinearEquiv.trans_apply, LinearEquiv.trans_apply, LinearEquiv.smulOfNeZero_apply,
LinearEquiv.smulOfNeZero_apply, LinearEquiv.map_smul, LinearEquiv.map_smul,
LinearEquiv.ofBijective_apply, LinearEquiv.ofBijective_apply,
StandardOneDimIsocrystal.frobenius_apply]
unfold StandardOneDimIsocrystal
rw [LinearMap.toSpanSingleton_apply K(p, k) V x c, LinearMap.toSpanSingleton_apply K(p, k) V x]
simp only [hax, LinearEquiv.ofBijective_apply, LinearMap.toSpanSingleton_apply,
LinearEquiv.map_smulₛₗ, Algebra.id.smul_eq_mul]
simp only [← mul_smul]
congr 1
linear_combination φ(p, k) c * hmb
end WittVector
| Mathlib/RingTheory/WittVector/Isocrystal.lean | 193 | 229 |
/-
Copyright (c) 2020 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Yury Kudryashov
-/
import Mathlib.Algebra.Group.Indicator
import Mathlib.Order.CompleteLattice.Finset
import Mathlib.Order.ConditionallyCompleteLattice.Basic
import Mathlib.Order.Filter.AtTopBot.Defs
import Mathlib.Order.Filter.Tendsto
/-!
# Indicator function and filters
Properties of additive and multiplicative indicator functions involving `=ᶠ` and `≤ᶠ`.
## Tags
indicator, characteristic, filter
-/
variable {α β M E : Type*}
open Set Filter
section One
variable [One M] {s t : Set α} {f g : α → M} {a : α} {l : Filter α}
@[to_additive]
theorem mulIndicator_eventuallyEq (hf : f =ᶠ[l ⊓ 𝓟 s] g) (hs : s =ᶠ[l] t) :
mulIndicator s f =ᶠ[l] mulIndicator t g :=
(eventually_inf_principal.1 hf).mp <| hs.mem_iff.mono fun x hst hfg =>
by_cases
(fun hxs : x ∈ s => by simp only [*, hst.1 hxs, mulIndicator_of_mem])
(fun hxs => by simp only [mulIndicator_of_not_mem, hxs, mt hst.2 hxs, not_false_eq_true])
end One
section Monoid
variable [Monoid M] {s t : Set α} {f g : α → M} {a : α} {l : Filter α}
@[to_additive]
theorem mulIndicator_union_eventuallyEq (h : ∀ᶠ a in l, a ∉ s ∩ t) :
mulIndicator (s ∪ t) f =ᶠ[l] mulIndicator s f * mulIndicator t f :=
h.mono fun _a ha => mulIndicator_union_of_not_mem_inter ha _
end Monoid
section Order
variable [One β] [Preorder β] {s t : Set α} {f g : α → β} {a : α} {l : Filter α}
@[to_additive]
theorem mulIndicator_eventuallyLE_mulIndicator (h : f ≤ᶠ[l ⊓ 𝓟 s] g) :
mulIndicator s f ≤ᶠ[l] mulIndicator s g :=
(eventually_inf_principal.1 h).mono fun _ => mulIndicator_rel_mulIndicator le_rfl
end Order
@[to_additive]
theorem Monotone.mulIndicator_eventuallyEq_iUnion {ι} [Preorder ι] [One β] (s : ι → Set α)
| (hs : Monotone s) (f : α → β) (a : α) :
(fun i => mulIndicator (s i) f a) =ᶠ[atTop] fun _ ↦ mulIndicator (⋃ i, s i) f a := by
classical exact hs.piecewise_eventually_eq_iUnion f 1 a
| Mathlib/Order/Filter/IndicatorFunction.lean | 63 | 66 |
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Eric Wieser
-/
import Mathlib.Algebra.DirectSum.Internal
import Mathlib.Algebra.GradedMonoid
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Equiv
import Mathlib.Algebra.MvPolynomial.Variables
import Mathlib.Algebra.Polynomial.Roots
import Mathlib.RingTheory.MvPolynomial.WeightedHomogeneous
import Mathlib.SetTheory.Cardinal.Basic
/-!
# Homogeneous polynomials
A multivariate polynomial `φ` is homogeneous of degree `n`
if all monomials occurring in `φ` have degree `n`.
## Main definitions/lemmas
* `IsHomogeneous φ n`: a predicate that asserts that `φ` is homogeneous of degree `n`.
* `homogeneousSubmodule σ R n`: the submodule of homogeneous polynomials of degree `n`.
* `homogeneousComponent n`: the additive morphism that projects polynomials onto
their summand that is homogeneous of degree `n`.
* `sum_homogeneousComponent`: every polynomial is the sum of its homogeneous components.
-/
namespace MvPolynomial
variable {σ : Type*} {τ : Type*} {R : Type*} {S : Type*}
/-
TODO
* show that `MvPolynomial σ R ≃ₐ[R] ⨁ i, homogeneousSubmodule σ R i`
-/
open Finsupp
/-- A multivariate polynomial `φ` is homogeneous of degree `n`
if all monomials occurring in `φ` have degree `n`. -/
def IsHomogeneous [CommSemiring R] (φ : MvPolynomial σ R) (n : ℕ) :=
IsWeightedHomogeneous 1 φ n
variable [CommSemiring R]
theorem weightedTotalDegree_one (φ : MvPolynomial σ R) :
weightedTotalDegree (1 : σ → ℕ) φ = φ.totalDegree := by
simp only [totalDegree, weightedTotalDegree, weight, LinearMap.toAddMonoidHom_coe,
linearCombination, Pi.one_apply, Finsupp.coe_lsum, LinearMap.coe_smulRight, LinearMap.id_coe,
id, Algebra.id.smul_eq_mul, mul_one]
theorem weightedTotalDegree_rename_of_injective {σ τ : Type*} {e : σ → τ}
{w : τ → ℕ} {P : MvPolynomial σ R} (he : Function.Injective e) :
weightedTotalDegree w (rename e P) = weightedTotalDegree (w ∘ e) P := by
classical
unfold weightedTotalDegree
rw [support_rename_of_injective he, Finset.sup_image]
congr; ext; unfold weight; simp
variable (σ R)
/-- The submodule of homogeneous `MvPolynomial`s of degree `n`. -/
def homogeneousSubmodule (n : ℕ) : Submodule R (MvPolynomial σ R) where
carrier := { x | x.IsHomogeneous n }
smul_mem' r a ha c hc := by
rw [coeff_smul] at hc
apply ha
intro h
apply hc
rw [h]
exact smul_zero r
zero_mem' _ hd := False.elim (hd <| coeff_zero _)
add_mem' {a b} ha hb c hc := by
rw [coeff_add] at hc
obtain h | h : coeff c a ≠ 0 ∨ coeff c b ≠ 0 := by
contrapose! hc
simp only [hc, add_zero]
· exact ha h
· exact hb h
@[simp]
lemma weightedHomogeneousSubmodule_one (n : ℕ) :
weightedHomogeneousSubmodule R 1 n = homogeneousSubmodule σ R n := rfl
variable {σ R}
@[simp]
theorem mem_homogeneousSubmodule (n : ℕ) (p : MvPolynomial σ R) :
p ∈ homogeneousSubmodule σ R n ↔ p.IsHomogeneous n := Iff.rfl
variable (σ R)
/-- While equal, the former has a convenient definitional reduction. -/
theorem homogeneousSubmodule_eq_finsupp_supported (n : ℕ) :
homogeneousSubmodule σ R n = Finsupp.supported _ R { d | d.degree = n } := by
simp_rw [degree_eq_weight_one]
exact weightedHomogeneousSubmodule_eq_finsupp_supported R 1 n
variable {σ R}
theorem homogeneousSubmodule_mul (m n : ℕ) :
homogeneousSubmodule σ R m * homogeneousSubmodule σ R n ≤ homogeneousSubmodule σ R (m + n) :=
weightedHomogeneousSubmodule_mul 1 m n
section
theorem isHomogeneous_monomial {d : σ →₀ ℕ} (r : R) {n : ℕ} (hn : d.degree = n) :
IsHomogeneous (monomial d r) n := by
rw [degree_eq_weight_one] at hn
exact isWeightedHomogeneous_monomial 1 d r hn
variable (σ)
theorem totalDegree_eq_zero_iff (p : MvPolynomial σ R) :
p.totalDegree = 0 ↔ ∀ (m : σ →₀ ℕ) (_ : m ∈ p.support) (x : σ), m x = 0 := by
rw [← weightedTotalDegree_one, weightedTotalDegree_eq_zero_iff _ p]
exact nonTorsionWeight_of (Function.const σ one_ne_zero)
theorem totalDegree_zero_iff_isHomogeneous {p : MvPolynomial σ R} :
p.totalDegree = 0 ↔ IsHomogeneous p 0 := by
rw [← weightedTotalDegree_one,
← isWeightedHomogeneous_zero_iff_weightedTotalDegree_eq_zero, IsHomogeneous]
alias ⟨isHomogeneous_of_totalDegree_zero, _⟩ := totalDegree_zero_iff_isHomogeneous
theorem isHomogeneous_C (r : R) : IsHomogeneous (C r : MvPolynomial σ R) 0 := by
apply isHomogeneous_monomial
simp only [Finsupp.degree, Finsupp.zero_apply, Finset.sum_const_zero]
variable (R)
theorem isHomogeneous_zero (n : ℕ) : IsHomogeneous (0 : MvPolynomial σ R) n :=
(homogeneousSubmodule σ R n).zero_mem
theorem isHomogeneous_one : IsHomogeneous (1 : MvPolynomial σ R) 0 :=
isHomogeneous_C _ _
variable {σ}
theorem isHomogeneous_X (i : σ) : IsHomogeneous (X i : MvPolynomial σ R) 1 := by
apply isHomogeneous_monomial
rw [Finsupp.degree, Finsupp.support_single_ne_zero _ one_ne_zero, Finset.sum_singleton]
exact Finsupp.single_eq_same
end
namespace IsHomogeneous
variable [CommSemiring S] {φ ψ : MvPolynomial σ R} {m n : ℕ}
theorem coeff_eq_zero (hφ : IsHomogeneous φ n) {d : σ →₀ ℕ} (hd : d.degree ≠ n) :
coeff d φ = 0 := by
rw [degree_eq_weight_one] at hd
exact IsWeightedHomogeneous.coeff_eq_zero hφ d hd
theorem inj_right (hm : IsHomogeneous φ m) (hn : IsHomogeneous φ n) (hφ : φ ≠ 0) : m = n := by
obtain ⟨d, hd⟩ : ∃ d, coeff d φ ≠ 0 := exists_coeff_ne_zero hφ
rw [← hm hd, ← hn hd]
theorem add (hφ : IsHomogeneous φ n) (hψ : IsHomogeneous ψ n) : IsHomogeneous (φ + ψ) n :=
(homogeneousSubmodule σ R n).add_mem hφ hψ
theorem sum {ι : Type*} (s : Finset ι) (φ : ι → MvPolynomial σ R) (n : ℕ)
(h : ∀ i ∈ s, IsHomogeneous (φ i) n) : IsHomogeneous (∑ i ∈ s, φ i) n :=
| (homogeneousSubmodule σ R n).sum_mem h
theorem mul (hφ : IsHomogeneous φ m) (hψ : IsHomogeneous ψ n) : IsHomogeneous (φ * ψ) (m + n) :=
| Mathlib/RingTheory/MvPolynomial/Homogeneous.lean | 169 | 171 |
/-
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 | 2,121 | 2,129 | |
/-
Copyright (c) 2020 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import Mathlib.Algebra.GroupWithZero.Invertible
import Mathlib.Algebra.Ring.Defs
/-!
# Theorems about invertible elements in rings
-/
universe u
variable {R : Type u}
/-- `-⅟a` is the inverse of `-a` -/
def invertibleNeg [Mul R] [One R] [HasDistribNeg R] (a : R) [Invertible a] : Invertible (-a) :=
⟨-⅟ a, by simp, by simp⟩
@[simp]
theorem invOf_neg [Monoid R] [HasDistribNeg R] (a : R) [Invertible a] [Invertible (-a)] :
⅟ (-a) = -⅟ a :=
invOf_eq_right_inv (by simp)
@[simp]
theorem one_sub_invOf_two [Ring R] [Invertible (2 : R)] : 1 - (⅟ 2 : R) = ⅟ 2 :=
(isUnit_of_invertible (2 : R)).mul_right_inj.1 <| by
rw [mul_sub, mul_invOf_self, mul_one, ← one_add_one_eq_two, add_sub_cancel_right]
@[simp]
theorem invOf_two_add_invOf_two [NonAssocSemiring R] [Invertible (2 : R)] :
(⅟ 2 : R) + (⅟ 2 : R) = 1 := by rw [← two_mul, mul_invOf_self]
theorem pos_of_invertible_cast [NonAssocSemiring R] [Nontrivial R] (n : ℕ) [Invertible (n : R)] :
0 < n :=
Nat.zero_lt_of_ne_zero fun h => Invertible.ne_zero (n : R) (h ▸ Nat.cast_zero)
theorem invOf_add_invOf [Semiring R] (a b : R) [Invertible a] [Invertible b] :
⅟a + ⅟b = ⅟a * (a + b) * ⅟b := by
rw [mul_add, invOf_mul_self, add_mul, one_mul, mul_assoc, mul_invOf_self, mul_one, add_comm]
/-- A version of `inv_sub_inv'` for `invOf`. -/
| theorem invOf_sub_invOf [Ring R] (a b : R) [Invertible a] [Invertible b] :
⅟a - ⅟b = ⅟a * (b - a) * ⅟b := by
rw [mul_sub, invOf_mul_self, sub_mul, one_mul, mul_assoc, mul_invOf_self, mul_one]
| Mathlib/Algebra/Ring/Invertible.lean | 44 | 46 |
/-
Copyright (c) 2019 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Sébastien Gouëzel, Frédéric Dupuis
-/
import Mathlib.Algebra.BigOperators.Field
import Mathlib.Analysis.Complex.Basic
import Mathlib.Analysis.InnerProductSpace.Defs
import Mathlib.GroupTheory.MonoidLocalization.Basic
/-!
# Properties of inner product spaces
This file proves many basic properties of inner product spaces (real or complex).
## Main results
- `inner_mul_inner_self_le`: the Cauchy-Schwartz inequality (one of many variants).
- `norm_inner_eq_norm_iff`: the equality criteion in the Cauchy-Schwartz inequality (also in many
variants).
- `inner_eq_sum_norm_sq_div_four`: the polarization identity.
## Tags
inner product space, Hilbert space, norm
-/
noncomputable section
open RCLike Real Filter Topology ComplexConjugate Finsupp
open LinearMap (BilinForm)
variable {𝕜 E F : Type*} [RCLike 𝕜]
section BasicProperties_Seminormed
open scoped InnerProductSpace
variable [SeminormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable [SeminormedAddCommGroup F] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
local postfix:90 "†" => starRingEnd _
export InnerProductSpace (norm_sq_eq_re_inner)
@[simp]
theorem inner_conj_symm (x y : E) : ⟪y, x⟫† = ⟪x, y⟫ :=
InnerProductSpace.conj_inner_symm _ _
theorem real_inner_comm (x y : F) : ⟪y, x⟫_ℝ = ⟪x, y⟫_ℝ :=
@inner_conj_symm ℝ _ _ _ _ x y
theorem inner_eq_zero_symm {x y : E} : ⟪x, y⟫ = 0 ↔ ⟪y, x⟫ = 0 := by
rw [← inner_conj_symm]
exact star_eq_zero
@[simp]
theorem inner_self_im (x : E) : im ⟪x, x⟫ = 0 := by rw [← @ofReal_inj 𝕜, im_eq_conj_sub]; simp
theorem inner_add_left (x y z : E) : ⟪x + y, z⟫ = ⟪x, z⟫ + ⟪y, z⟫ :=
InnerProductSpace.add_left _ _ _
theorem inner_add_right (x y z : E) : ⟪x, y + z⟫ = ⟪x, y⟫ + ⟪x, z⟫ := by
rw [← inner_conj_symm, inner_add_left, RingHom.map_add]
simp only [inner_conj_symm]
theorem inner_re_symm (x y : E) : re ⟪x, y⟫ = re ⟪y, x⟫ := by rw [← inner_conj_symm, conj_re]
theorem inner_im_symm (x y : E) : im ⟪x, y⟫ = -im ⟪y, x⟫ := by rw [← inner_conj_symm, conj_im]
section Algebra
variable {𝕝 : Type*} [CommSemiring 𝕝] [StarRing 𝕝] [Algebra 𝕝 𝕜] [Module 𝕝 E]
[IsScalarTower 𝕝 𝕜 E] [StarModule 𝕝 𝕜]
/-- See `inner_smul_left` for the common special when `𝕜 = 𝕝`. -/
lemma inner_smul_left_eq_star_smul (x y : E) (r : 𝕝) : ⟪r • x, y⟫ = r† • ⟪x, y⟫ := by
rw [← algebraMap_smul 𝕜 r, InnerProductSpace.smul_left, starRingEnd_apply, starRingEnd_apply,
← algebraMap_star_comm, ← smul_eq_mul, algebraMap_smul]
/-- Special case of `inner_smul_left_eq_star_smul` when the acting ring has a trivial star
(eg `ℕ`, `ℤ`, `ℚ≥0`, `ℚ`, `ℝ`). -/
lemma inner_smul_left_eq_smul [TrivialStar 𝕝] (x y : E) (r : 𝕝) : ⟪r • x, y⟫ = r • ⟪x, y⟫ := by
rw [inner_smul_left_eq_star_smul, starRingEnd_apply, star_trivial]
/-- See `inner_smul_right` for the common special when `𝕜 = 𝕝`. -/
lemma inner_smul_right_eq_smul (x y : E) (r : 𝕝) : ⟪x, r • y⟫ = r • ⟪x, y⟫ := by
rw [← inner_conj_symm, inner_smul_left_eq_star_smul, starRingEnd_apply, starRingEnd_apply,
star_smul, star_star, ← starRingEnd_apply, inner_conj_symm]
end Algebra
/-- See `inner_smul_left_eq_star_smul` for the case of a general algebra action. -/
theorem inner_smul_left (x y : E) (r : 𝕜) : ⟪r • x, y⟫ = r† * ⟪x, y⟫ :=
inner_smul_left_eq_star_smul ..
theorem real_inner_smul_left (x y : F) (r : ℝ) : ⟪r • x, y⟫_ℝ = r * ⟪x, y⟫_ℝ :=
inner_smul_left _ _ _
theorem inner_smul_real_left (x y : E) (r : ℝ) : ⟪(r : 𝕜) • x, y⟫ = r • ⟪x, y⟫ := by
rw [inner_smul_left, conj_ofReal, Algebra.smul_def]
/-- See `inner_smul_right_eq_smul` for the case of a general algebra action. -/
theorem inner_smul_right (x y : E) (r : 𝕜) : ⟪x, r • y⟫ = r * ⟪x, y⟫ :=
inner_smul_right_eq_smul ..
theorem real_inner_smul_right (x y : F) (r : ℝ) : ⟪x, r • y⟫_ℝ = r * ⟪x, y⟫_ℝ :=
inner_smul_right _ _ _
theorem inner_smul_real_right (x y : E) (r : ℝ) : ⟪x, (r : 𝕜) • y⟫ = r • ⟪x, y⟫ := by
rw [inner_smul_right, Algebra.smul_def]
/-- The inner product as a sesquilinear form.
Note that in the case `𝕜 = ℝ` this is a bilinear form. -/
@[simps!]
def sesqFormOfInner : E →ₗ[𝕜] E →ₗ⋆[𝕜] 𝕜 :=
LinearMap.mk₂'ₛₗ (RingHom.id 𝕜) (starRingEnd _) (fun x y => ⟪y, x⟫)
(fun _x _y _z => inner_add_right _ _ _) (fun _r _x _y => inner_smul_right _ _ _)
(fun _x _y _z => inner_add_left _ _ _) fun _r _x _y => inner_smul_left _ _ _
/-- The real inner product as a bilinear form.
Note that unlike `sesqFormOfInner`, this does not reverse the order of the arguments. -/
@[simps!]
def bilinFormOfRealInner : BilinForm ℝ F := sesqFormOfInner.flip
/-- An inner product with a sum on the left. -/
theorem sum_inner {ι : Type*} (s : Finset ι) (f : ι → E) (x : E) :
⟪∑ i ∈ s, f i, x⟫ = ∑ i ∈ s, ⟪f i, x⟫ :=
map_sum (sesqFormOfInner (𝕜 := 𝕜) (E := E) x) _ _
/-- An inner product with a sum on the right. -/
theorem inner_sum {ι : Type*} (s : Finset ι) (f : ι → E) (x : E) :
⟪x, ∑ i ∈ s, f i⟫ = ∑ i ∈ s, ⟪x, f i⟫ :=
map_sum (LinearMap.flip sesqFormOfInner x) _ _
/-- An inner product with a sum on the left, `Finsupp` version. -/
protected theorem Finsupp.sum_inner {ι : Type*} (l : ι →₀ 𝕜) (v : ι → E) (x : E) :
⟪l.sum fun (i : ι) (a : 𝕜) => a • v i, x⟫ = l.sum fun (i : ι) (a : 𝕜) => conj a • ⟪v i, x⟫ := by
convert sum_inner (𝕜 := 𝕜) l.support (fun a => l a • v a) x
simp only [inner_smul_left, Finsupp.sum, smul_eq_mul]
/-- An inner product with a sum on the right, `Finsupp` version. -/
protected theorem Finsupp.inner_sum {ι : Type*} (l : ι →₀ 𝕜) (v : ι → E) (x : E) :
⟪x, l.sum fun (i : ι) (a : 𝕜) => a • v i⟫ = l.sum fun (i : ι) (a : 𝕜) => a • ⟪x, v i⟫ := by
convert inner_sum (𝕜 := 𝕜) l.support (fun a => l a • v a) x
simp only [inner_smul_right, Finsupp.sum, smul_eq_mul]
protected theorem DFinsupp.sum_inner {ι : Type*} [DecidableEq ι] {α : ι → Type*}
[∀ i, AddZeroClass (α i)] [∀ (i) (x : α i), Decidable (x ≠ 0)] (f : ∀ i, α i → E)
(l : Π₀ i, α i) (x : E) : ⟪l.sum f, x⟫ = l.sum fun i a => ⟪f i a, x⟫ := by
simp +contextual only [DFinsupp.sum, sum_inner, smul_eq_mul]
protected theorem DFinsupp.inner_sum {ι : Type*} [DecidableEq ι] {α : ι → Type*}
[∀ i, AddZeroClass (α i)] [∀ (i) (x : α i), Decidable (x ≠ 0)] (f : ∀ i, α i → E)
(l : Π₀ i, α i) (x : E) : ⟪x, l.sum f⟫ = l.sum fun i a => ⟪x, f i a⟫ := by
simp +contextual only [DFinsupp.sum, inner_sum, smul_eq_mul]
@[simp]
theorem inner_zero_left (x : E) : ⟪0, x⟫ = 0 := by
rw [← zero_smul 𝕜 (0 : E), inner_smul_left, RingHom.map_zero, zero_mul]
theorem inner_re_zero_left (x : E) : re ⟪0, x⟫ = 0 := by
simp only [inner_zero_left, AddMonoidHom.map_zero]
@[simp]
theorem inner_zero_right (x : E) : ⟪x, 0⟫ = 0 := by
rw [← inner_conj_symm, inner_zero_left, RingHom.map_zero]
theorem inner_re_zero_right (x : E) : re ⟪x, 0⟫ = 0 := by
simp only [inner_zero_right, AddMonoidHom.map_zero]
theorem inner_self_nonneg {x : E} : 0 ≤ re ⟪x, x⟫ :=
PreInnerProductSpace.toCore.re_inner_nonneg x
theorem real_inner_self_nonneg {x : F} : 0 ≤ ⟪x, x⟫_ℝ :=
@inner_self_nonneg ℝ F _ _ _ x
@[simp]
theorem inner_self_ofReal_re (x : E) : (re ⟪x, x⟫ : 𝕜) = ⟪x, x⟫ :=
((RCLike.is_real_TFAE (⟪x, x⟫ : 𝕜)).out 2 3).2 (inner_self_im (𝕜 := 𝕜) x)
theorem inner_self_eq_norm_sq_to_K (x : E) : ⟪x, x⟫ = (‖x‖ : 𝕜) ^ 2 := by
rw [← inner_self_ofReal_re, ← norm_sq_eq_re_inner, ofReal_pow]
theorem inner_self_re_eq_norm (x : E) : re ⟪x, x⟫ = ‖⟪x, x⟫‖ := by
conv_rhs => rw [← inner_self_ofReal_re]
symm
exact norm_of_nonneg inner_self_nonneg
theorem inner_self_ofReal_norm (x : E) : (‖⟪x, x⟫‖ : 𝕜) = ⟪x, x⟫ := by
rw [← inner_self_re_eq_norm]
exact inner_self_ofReal_re _
theorem real_inner_self_abs (x : F) : |⟪x, x⟫_ℝ| = ⟪x, x⟫_ℝ :=
@inner_self_ofReal_norm ℝ F _ _ _ x
theorem norm_inner_symm (x y : E) : ‖⟪x, y⟫‖ = ‖⟪y, x⟫‖ := by rw [← inner_conj_symm, norm_conj]
@[simp]
theorem inner_neg_left (x y : E) : ⟪-x, y⟫ = -⟪x, y⟫ := by
rw [← neg_one_smul 𝕜 x, inner_smul_left]
simp
@[simp]
theorem inner_neg_right (x y : E) : ⟪x, -y⟫ = -⟪x, y⟫ := by
rw [← inner_conj_symm, inner_neg_left]; simp only [RingHom.map_neg, inner_conj_symm]
theorem inner_neg_neg (x y : E) : ⟪-x, -y⟫ = ⟪x, y⟫ := by simp
theorem inner_self_conj (x : E) : ⟪x, x⟫† = ⟪x, x⟫ := inner_conj_symm _ _
theorem inner_sub_left (x y z : E) : ⟪x - y, z⟫ = ⟪x, z⟫ - ⟪y, z⟫ := by
simp [sub_eq_add_neg, inner_add_left]
theorem inner_sub_right (x y z : E) : ⟪x, y - z⟫ = ⟪x, y⟫ - ⟪x, z⟫ := by
simp [sub_eq_add_neg, inner_add_right]
theorem inner_mul_symm_re_eq_norm (x y : E) : re (⟪x, y⟫ * ⟪y, x⟫) = ‖⟪x, y⟫ * ⟪y, x⟫‖ := by
rw [← inner_conj_symm, mul_comm]
exact re_eq_norm_of_mul_conj (inner y x)
/-- Expand `⟪x + y, x + y⟫` -/
theorem inner_add_add_self (x y : E) : ⟪x + y, x + y⟫ = ⟪x, x⟫ + ⟪x, y⟫ + ⟪y, x⟫ + ⟪y, y⟫ := by
simp only [inner_add_left, inner_add_right]; ring
/-- Expand `⟪x + y, x + y⟫_ℝ` -/
theorem real_inner_add_add_self (x y : F) :
⟪x + y, x + y⟫_ℝ = ⟪x, x⟫_ℝ + 2 * ⟪x, y⟫_ℝ + ⟪y, y⟫_ℝ := by
have : ⟪y, x⟫_ℝ = ⟪x, y⟫_ℝ := by rw [← inner_conj_symm]; rfl
simp only [inner_add_add_self, this, add_left_inj]
ring
-- Expand `⟪x - y, x - y⟫`
theorem inner_sub_sub_self (x y : E) : ⟪x - y, x - y⟫ = ⟪x, x⟫ - ⟪x, y⟫ - ⟪y, x⟫ + ⟪y, y⟫ := by
simp only [inner_sub_left, inner_sub_right]; ring
/-- Expand `⟪x - y, x - y⟫_ℝ` -/
theorem real_inner_sub_sub_self (x y : F) :
⟪x - y, x - y⟫_ℝ = ⟪x, x⟫_ℝ - 2 * ⟪x, y⟫_ℝ + ⟪y, y⟫_ℝ := by
have : ⟪y, x⟫_ℝ = ⟪x, y⟫_ℝ := by rw [← inner_conj_symm]; rfl
simp only [inner_sub_sub_self, this, add_left_inj]
ring
/-- Parallelogram law -/
theorem parallelogram_law {x y : E} : ⟪x + y, x + y⟫ + ⟪x - y, x - y⟫ = 2 * (⟪x, x⟫ + ⟪y, y⟫) := by
simp only [inner_add_add_self, inner_sub_sub_self]
ring
/-- **Cauchy–Schwarz inequality**. -/
theorem inner_mul_inner_self_le (x y : E) : ‖⟪x, y⟫‖ * ‖⟪y, x⟫‖ ≤ re ⟪x, x⟫ * re ⟪y, y⟫ :=
letI cd : PreInnerProductSpace.Core 𝕜 E := PreInnerProductSpace.toCore
InnerProductSpace.Core.inner_mul_inner_self_le x y
/-- Cauchy–Schwarz inequality for real inner products. -/
theorem real_inner_mul_inner_self_le (x y : F) : ⟪x, y⟫_ℝ * ⟪x, y⟫_ℝ ≤ ⟪x, x⟫_ℝ * ⟪y, y⟫_ℝ :=
calc
⟪x, y⟫_ℝ * ⟪x, y⟫_ℝ ≤ ‖⟪x, y⟫_ℝ‖ * ‖⟪y, x⟫_ℝ‖ := by
rw [real_inner_comm y, ← norm_mul]
exact le_abs_self _
_ ≤ ⟪x, x⟫_ℝ * ⟪y, y⟫_ℝ := @inner_mul_inner_self_le ℝ _ _ _ _ x y
end BasicProperties_Seminormed
section BasicProperties
variable [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable [NormedAddCommGroup F] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
export InnerProductSpace (norm_sq_eq_re_inner)
@[simp]
theorem inner_self_eq_zero {x : E} : ⟪x, x⟫ = 0 ↔ x = 0 := by
rw [inner_self_eq_norm_sq_to_K, sq_eq_zero_iff, ofReal_eq_zero, norm_eq_zero]
theorem inner_self_ne_zero {x : E} : ⟪x, x⟫ ≠ 0 ↔ x ≠ 0 :=
inner_self_eq_zero.not
variable (𝕜)
theorem ext_inner_left {x y : E} (h : ∀ v, ⟪v, x⟫ = ⟪v, y⟫) : x = y := by
rw [← sub_eq_zero, ← @inner_self_eq_zero 𝕜, inner_sub_right, sub_eq_zero, h (x - y)]
theorem ext_inner_right {x y : E} (h : ∀ v, ⟪x, v⟫ = ⟪y, v⟫) : x = y := by
rw [← sub_eq_zero, ← @inner_self_eq_zero 𝕜, inner_sub_left, sub_eq_zero, h (x - y)]
variable {𝕜}
@[simp]
theorem re_inner_self_nonpos {x : E} : re ⟪x, x⟫ ≤ 0 ↔ x = 0 := by
rw [← norm_sq_eq_re_inner, (sq_nonneg _).le_iff_eq, sq_eq_zero_iff, norm_eq_zero]
@[simp]
lemma re_inner_self_pos {x : E} : 0 < re ⟪x, x⟫ ↔ x ≠ 0 := by
simpa [-re_inner_self_nonpos] using re_inner_self_nonpos (𝕜 := 𝕜) (x := x).not
@[deprecated (since := "2025-04-22")] alias inner_self_nonpos := re_inner_self_nonpos
@[deprecated (since := "2025-04-22")] alias inner_self_pos := re_inner_self_pos
open scoped InnerProductSpace in
theorem real_inner_self_nonpos {x : F} : ⟪x, x⟫_ℝ ≤ 0 ↔ x = 0 := re_inner_self_nonpos (𝕜 := ℝ)
open scoped InnerProductSpace in
theorem real_inner_self_pos {x : F} : 0 < ⟪x, x⟫_ℝ ↔ x ≠ 0 := re_inner_self_pos (𝕜 := ℝ)
/-- A family of vectors is linearly independent if they are nonzero
and orthogonal. -/
theorem linearIndependent_of_ne_zero_of_inner_eq_zero {ι : Type*} {v : ι → E} (hz : ∀ i, v i ≠ 0)
(ho : Pairwise fun i j => ⟪v i, v j⟫ = 0) : LinearIndependent 𝕜 v := by
rw [linearIndependent_iff']
intro s g hg i hi
have h' : g i * inner (v i) (v i) = inner (v i) (∑ j ∈ s, g j • v j) := by
rw [inner_sum]
symm
convert Finset.sum_eq_single (M := 𝕜) i ?_ ?_
· rw [inner_smul_right]
· intro j _hj hji
rw [inner_smul_right, ho hji.symm, mul_zero]
· exact fun h => False.elim (h hi)
simpa [hg, hz] using h'
end BasicProperties
section Norm_Seminormed
open scoped InnerProductSpace
variable [SeminormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable [SeminormedAddCommGroup F] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
local notation "IK" => @RCLike.I 𝕜 _
theorem norm_eq_sqrt_re_inner (x : E) : ‖x‖ = √(re ⟪x, x⟫) :=
calc
‖x‖ = √(‖x‖ ^ 2) := (sqrt_sq (norm_nonneg _)).symm
_ = √(re ⟪x, x⟫) := congr_arg _ (norm_sq_eq_re_inner _)
@[deprecated (since := "2025-04-22")] alias norm_eq_sqrt_inner := norm_eq_sqrt_re_inner
theorem norm_eq_sqrt_real_inner (x : F) : ‖x‖ = √⟪x, x⟫_ℝ :=
@norm_eq_sqrt_re_inner ℝ _ _ _ _ x
theorem inner_self_eq_norm_mul_norm (x : E) : re ⟪x, x⟫ = ‖x‖ * ‖x‖ := by
rw [@norm_eq_sqrt_re_inner 𝕜, ← sqrt_mul inner_self_nonneg (re ⟪x, x⟫),
sqrt_mul_self inner_self_nonneg]
theorem inner_self_eq_norm_sq (x : E) : re ⟪x, x⟫ = ‖x‖ ^ 2 := by
rw [pow_two, inner_self_eq_norm_mul_norm]
theorem real_inner_self_eq_norm_mul_norm (x : F) : ⟪x, x⟫_ℝ = ‖x‖ * ‖x‖ := by
have h := @inner_self_eq_norm_mul_norm ℝ F _ _ _ x
simpa using h
theorem real_inner_self_eq_norm_sq (x : F) : ⟪x, x⟫_ℝ = ‖x‖ ^ 2 := by
rw [pow_two, real_inner_self_eq_norm_mul_norm]
/-- Expand the square -/
theorem norm_add_sq (x y : E) : ‖x + y‖ ^ 2 = ‖x‖ ^ 2 + 2 * re ⟪x, y⟫ + ‖y‖ ^ 2 := by
repeat' rw [sq (M := ℝ), ← @inner_self_eq_norm_mul_norm 𝕜]
rw [inner_add_add_self, two_mul]
simp only [add_assoc, add_left_inj, add_right_inj, AddMonoidHom.map_add]
rw [← inner_conj_symm, conj_re]
alias norm_add_pow_two := norm_add_sq
/-- Expand the square -/
theorem norm_add_sq_real (x y : F) : ‖x + y‖ ^ 2 = ‖x‖ ^ 2 + 2 * ⟪x, y⟫_ℝ + ‖y‖ ^ 2 := by
have h := @norm_add_sq ℝ _ _ _ _ x y
simpa using h
alias norm_add_pow_two_real := norm_add_sq_real
/-- Expand the square -/
theorem norm_add_mul_self (x y : E) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + 2 * re ⟪x, y⟫ + ‖y‖ * ‖y‖ := by
repeat' rw [← sq (M := ℝ)]
exact norm_add_sq _ _
/-- Expand the square -/
theorem norm_add_mul_self_real (x y : F) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + 2 * ⟪x, y⟫_ℝ + ‖y‖ * ‖y‖ := by
have h := @norm_add_mul_self ℝ _ _ _ _ x y
simpa using h
/-- Expand the square -/
theorem norm_sub_sq (x y : E) : ‖x - y‖ ^ 2 = ‖x‖ ^ 2 - 2 * re ⟪x, y⟫ + ‖y‖ ^ 2 := by
rw [sub_eq_add_neg, @norm_add_sq 𝕜 _ _ _ _ x (-y), norm_neg, inner_neg_right, map_neg, mul_neg,
sub_eq_add_neg]
alias norm_sub_pow_two := norm_sub_sq
/-- Expand the square -/
theorem norm_sub_sq_real (x y : F) : ‖x - y‖ ^ 2 = ‖x‖ ^ 2 - 2 * ⟪x, y⟫_ℝ + ‖y‖ ^ 2 :=
@norm_sub_sq ℝ _ _ _ _ _ _
alias norm_sub_pow_two_real := norm_sub_sq_real
/-- Expand the square -/
theorem norm_sub_mul_self (x y : E) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ - 2 * re ⟪x, y⟫ + ‖y‖ * ‖y‖ := by
repeat' rw [← sq (M := ℝ)]
exact norm_sub_sq _ _
/-- Expand the square -/
theorem norm_sub_mul_self_real (x y : F) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ - 2 * ⟪x, y⟫_ℝ + ‖y‖ * ‖y‖ := by
have h := @norm_sub_mul_self ℝ _ _ _ _ x y
simpa using h
/-- Cauchy–Schwarz inequality with norm -/
theorem norm_inner_le_norm (x y : E) : ‖⟪x, y⟫‖ ≤ ‖x‖ * ‖y‖ := by
rw [norm_eq_sqrt_re_inner (𝕜 := 𝕜) x, norm_eq_sqrt_re_inner (𝕜 := 𝕜) y]
letI : PreInnerProductSpace.Core 𝕜 E := PreInnerProductSpace.toCore
exact InnerProductSpace.Core.norm_inner_le_norm x y
theorem nnnorm_inner_le_nnnorm (x y : E) : ‖⟪x, y⟫‖₊ ≤ ‖x‖₊ * ‖y‖₊ :=
norm_inner_le_norm x y
theorem re_inner_le_norm (x y : E) : re ⟪x, y⟫ ≤ ‖x‖ * ‖y‖ :=
le_trans (re_le_norm (inner x y)) (norm_inner_le_norm x y)
/-- Cauchy–Schwarz inequality with norm -/
theorem abs_real_inner_le_norm (x y : F) : |⟪x, y⟫_ℝ| ≤ ‖x‖ * ‖y‖ :=
(Real.norm_eq_abs _).ge.trans (norm_inner_le_norm x y)
/-- Cauchy–Schwarz inequality with norm -/
theorem real_inner_le_norm (x y : F) : ⟪x, y⟫_ℝ ≤ ‖x‖ * ‖y‖ :=
le_trans (le_abs_self _) (abs_real_inner_le_norm _ _)
lemma inner_eq_zero_of_left {x : E} (y : E) (h : ‖x‖ = 0) : ⟪x, y⟫_𝕜 = 0 := by
rw [← norm_eq_zero]
refine le_antisymm ?_ (by positivity)
exact norm_inner_le_norm _ _ |>.trans <| by simp [h]
lemma inner_eq_zero_of_right (x : E) {y : E} (h : ‖y‖ = 0) : ⟪x, y⟫_𝕜 = 0 := by
rw [inner_eq_zero_symm, inner_eq_zero_of_left _ h]
variable (𝕜)
include 𝕜 in
theorem parallelogram_law_with_norm (x y : E) :
‖x + y‖ * ‖x + y‖ + ‖x - y‖ * ‖x - y‖ = 2 * (‖x‖ * ‖x‖ + ‖y‖ * ‖y‖) := by
simp only [← @inner_self_eq_norm_mul_norm 𝕜]
rw [← re.map_add, parallelogram_law, two_mul, two_mul]
simp only [re.map_add]
include 𝕜 in
theorem parallelogram_law_with_nnnorm (x y : E) :
‖x + y‖₊ * ‖x + y‖₊ + ‖x - y‖₊ * ‖x - y‖₊ = 2 * (‖x‖₊ * ‖x‖₊ + ‖y‖₊ * ‖y‖₊) :=
Subtype.ext <| parallelogram_law_with_norm 𝕜 x y
variable {𝕜}
/-- Polarization identity: The real part of the inner product, in terms of the norm. -/
theorem re_inner_eq_norm_add_mul_self_sub_norm_mul_self_sub_norm_mul_self_div_two (x y : E) :
re ⟪x, y⟫ = (‖x + y‖ * ‖x + y‖ - ‖x‖ * ‖x‖ - ‖y‖ * ‖y‖) / 2 := by
rw [@norm_add_mul_self 𝕜]
ring
/-- Polarization identity: The real part of the inner product, in terms of the norm. -/
theorem re_inner_eq_norm_mul_self_add_norm_mul_self_sub_norm_sub_mul_self_div_two (x y : E) :
re ⟪x, y⟫ = (‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ - ‖x - y‖ * ‖x - y‖) / 2 := by
rw [@norm_sub_mul_self 𝕜]
ring
/-- Polarization identity: The real part of the inner product, in terms of the norm. -/
theorem re_inner_eq_norm_add_mul_self_sub_norm_sub_mul_self_div_four (x y : E) :
re ⟪x, y⟫ = (‖x + y‖ * ‖x + y‖ - ‖x - y‖ * ‖x - y‖) / 4 := by
rw [@norm_add_mul_self 𝕜, @norm_sub_mul_self 𝕜]
ring
/-- Polarization identity: The imaginary part of the inner product, in terms of the norm. -/
theorem im_inner_eq_norm_sub_i_smul_mul_self_sub_norm_add_i_smul_mul_self_div_four (x y : E) :
im ⟪x, y⟫ = (‖x - IK • y‖ * ‖x - IK • y‖ - ‖x + IK • y‖ * ‖x + IK • y‖) / 4 := by
simp only [@norm_add_mul_self 𝕜, @norm_sub_mul_self 𝕜, inner_smul_right, I_mul_re]
ring
/-- Polarization identity: The inner product, in terms of the norm. -/
theorem inner_eq_sum_norm_sq_div_four (x y : E) :
⟪x, y⟫ = ((‖x + y‖ : 𝕜) ^ 2 - (‖x - y‖ : 𝕜) ^ 2 +
((‖x - IK • y‖ : 𝕜) ^ 2 - (‖x + IK • y‖ : 𝕜) ^ 2) * IK) / 4 := by
rw [← re_add_im ⟪x, y⟫, re_inner_eq_norm_add_mul_self_sub_norm_sub_mul_self_div_four,
im_inner_eq_norm_sub_i_smul_mul_self_sub_norm_add_i_smul_mul_self_div_four]
push_cast
simp only [sq, ← mul_div_right_comm, ← add_div]
/-- Polarization identity: The real inner product, in terms of the norm. -/
theorem real_inner_eq_norm_add_mul_self_sub_norm_mul_self_sub_norm_mul_self_div_two (x y : F) :
⟪x, y⟫_ℝ = (‖x + y‖ * ‖x + y‖ - ‖x‖ * ‖x‖ - ‖y‖ * ‖y‖) / 2 :=
re_to_real.symm.trans <|
re_inner_eq_norm_add_mul_self_sub_norm_mul_self_sub_norm_mul_self_div_two x y
/-- Polarization identity: The real inner product, in terms of the norm. -/
theorem real_inner_eq_norm_mul_self_add_norm_mul_self_sub_norm_sub_mul_self_div_two (x y : F) :
⟪x, y⟫_ℝ = (‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ - ‖x - y‖ * ‖x - y‖) / 2 :=
re_to_real.symm.trans <|
re_inner_eq_norm_mul_self_add_norm_mul_self_sub_norm_sub_mul_self_div_two x y
/-- Pythagorean theorem, if-and-only-if vector inner product form. -/
theorem norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero (x y : F) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ ⟪x, y⟫_ℝ = 0 := by
rw [@norm_add_mul_self ℝ, add_right_cancel_iff, add_eq_left, mul_eq_zero]
norm_num
/-- Pythagorean theorem, if-and-if vector inner product form using square roots. -/
theorem norm_add_eq_sqrt_iff_real_inner_eq_zero {x y : F} :
‖x + y‖ = √(‖x‖ * ‖x‖ + ‖y‖ * ‖y‖) ↔ ⟪x, y⟫_ℝ = 0 := by
rw [← norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero, eq_comm, sqrt_eq_iff_mul_self_eq,
eq_comm] <;> positivity
/-- Pythagorean theorem, vector inner product form. -/
theorem norm_add_sq_eq_norm_sq_add_norm_sq_of_inner_eq_zero (x y : E) (h : ⟪x, y⟫ = 0) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ := by
rw [@norm_add_mul_self 𝕜, add_right_cancel_iff, add_eq_left, mul_eq_zero]
apply Or.inr
simp only [h, zero_re']
/-- Pythagorean theorem, vector inner product form. -/
theorem norm_add_sq_eq_norm_sq_add_norm_sq_real {x y : F} (h : ⟪x, y⟫_ℝ = 0) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ :=
(norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero x y).2 h
/-- Pythagorean theorem, subtracting vectors, if-and-only-if vector
inner product form. -/
theorem norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero (x y : F) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ ⟪x, y⟫_ℝ = 0 := by
rw [@norm_sub_mul_self ℝ, add_right_cancel_iff, sub_eq_add_neg, add_eq_left, neg_eq_zero,
mul_eq_zero]
norm_num
/-- Pythagorean theorem, subtracting vectors, if-and-if vector inner product form using square
roots. -/
theorem norm_sub_eq_sqrt_iff_real_inner_eq_zero {x y : F} :
‖x - y‖ = √(‖x‖ * ‖x‖ + ‖y‖ * ‖y‖) ↔ ⟪x, y⟫_ℝ = 0 := by
rw [← norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero, eq_comm, sqrt_eq_iff_mul_self_eq,
eq_comm] <;> positivity
/-- Pythagorean theorem, subtracting vectors, vector inner product
form. -/
theorem norm_sub_sq_eq_norm_sq_add_norm_sq_real {x y : F} (h : ⟪x, y⟫_ℝ = 0) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ :=
(norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero x y).2 h
/-- The sum and difference of two vectors are orthogonal if and only
if they have the same norm. -/
theorem real_inner_add_sub_eq_zero_iff (x y : F) : ⟪x + y, x - y⟫_ℝ = 0 ↔ ‖x‖ = ‖y‖ := by
conv_rhs => rw [← mul_self_inj_of_nonneg (norm_nonneg _) (norm_nonneg _)]
simp only [← @inner_self_eq_norm_mul_norm ℝ, inner_add_left, inner_sub_right, real_inner_comm y x,
sub_eq_zero, re_to_real]
constructor
· intro h
rw [add_comm] at h
linarith
· intro h
linarith
/-- Given two orthogonal vectors, their sum and difference have equal norms. -/
theorem norm_sub_eq_norm_add {v w : E} (h : ⟪v, w⟫ = 0) : ‖w - v‖ = ‖w + v‖ := by
rw [← mul_self_inj_of_nonneg (norm_nonneg _) (norm_nonneg _)]
simp only [h, ← @inner_self_eq_norm_mul_norm 𝕜, sub_neg_eq_add, sub_zero, map_sub, zero_re',
zero_sub, add_zero, map_add, inner_add_right, inner_sub_left, inner_sub_right, inner_re_symm,
zero_add]
/-- The real inner product of two vectors, divided by the product of their
norms, has absolute value at most 1. -/
theorem abs_real_inner_div_norm_mul_norm_le_one (x y : F) : |⟪x, y⟫_ℝ / (‖x‖ * ‖y‖)| ≤ 1 := by
rw [abs_div, abs_mul, abs_norm, abs_norm]
exact div_le_one_of_le₀ (abs_real_inner_le_norm x y) (by positivity)
/-- The inner product of a vector with a multiple of itself. -/
theorem real_inner_smul_self_left (x : F) (r : ℝ) : ⟪r • x, x⟫_ℝ = r * (‖x‖ * ‖x‖) := by
rw [real_inner_smul_left, ← real_inner_self_eq_norm_mul_norm]
/-- The inner product of a vector with a multiple of itself. -/
theorem real_inner_smul_self_right (x : F) (r : ℝ) : ⟪x, r • x⟫_ℝ = r * (‖x‖ * ‖x‖) := by
rw [inner_smul_right, ← real_inner_self_eq_norm_mul_norm]
/-- The inner product of two weighted sums, where the weights in each
sum add to 0, in terms of the norms of pairwise differences. -/
theorem inner_sum_smul_sum_smul_of_sum_eq_zero {ι₁ : Type*} {s₁ : Finset ι₁} {w₁ : ι₁ → ℝ}
(v₁ : ι₁ → F) (h₁ : ∑ i ∈ s₁, w₁ i = 0) {ι₂ : Type*} {s₂ : Finset ι₂} {w₂ : ι₂ → ℝ}
(v₂ : ι₂ → F) (h₂ : ∑ i ∈ s₂, w₂ i = 0) :
⟪∑ i₁ ∈ s₁, w₁ i₁ • v₁ i₁, ∑ i₂ ∈ s₂, w₂ i₂ • v₂ i₂⟫_ℝ =
(-∑ i₁ ∈ s₁, ∑ i₂ ∈ s₂, w₁ i₁ * w₂ i₂ * (‖v₁ i₁ - v₂ i₂‖ * ‖v₁ i₁ - v₂ i₂‖)) / 2 := by
simp_rw [sum_inner, inner_sum, real_inner_smul_left, real_inner_smul_right,
real_inner_eq_norm_mul_self_add_norm_mul_self_sub_norm_sub_mul_self_div_two, ← div_sub_div_same,
← div_add_div_same, mul_sub_left_distrib, left_distrib, Finset.sum_sub_distrib,
Finset.sum_add_distrib, ← Finset.mul_sum, ← Finset.sum_mul, h₁, h₂, zero_mul,
mul_zero, Finset.sum_const_zero, zero_add, zero_sub, Finset.mul_sum, neg_div,
Finset.sum_div, mul_div_assoc, mul_assoc]
end Norm_Seminormed
section Norm
open scoped InnerProductSpace
variable [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
variable [NormedAddCommGroup F] [InnerProductSpace ℝ F]
variable {ι : Type*}
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
/-- Formula for the distance between the images of two nonzero points under an inversion with center
zero. See also `EuclideanGeometry.dist_inversion_inversion` for inversions around a general
point. -/
theorem dist_div_norm_sq_smul {x y : F} (hx : x ≠ 0) (hy : y ≠ 0) (R : ℝ) :
dist ((R / ‖x‖) ^ 2 • x) ((R / ‖y‖) ^ 2 • y) = R ^ 2 / (‖x‖ * ‖y‖) * dist x y :=
calc
dist ((R / ‖x‖) ^ 2 • x) ((R / ‖y‖) ^ 2 • y) =
√(‖(R / ‖x‖) ^ 2 • x - (R / ‖y‖) ^ 2 • y‖ ^ 2) := by
rw [dist_eq_norm, sqrt_sq (norm_nonneg _)]
_ = √((R ^ 2 / (‖x‖ * ‖y‖)) ^ 2 * ‖x - y‖ ^ 2) :=
congr_arg sqrt <| by
field_simp [sq, norm_sub_mul_self_real, norm_smul, real_inner_smul_left, inner_smul_right,
Real.norm_of_nonneg (mul_self_nonneg _)]
ring
_ = R ^ 2 / (‖x‖ * ‖y‖) * dist x y := by
rw [sqrt_mul, sqrt_sq, sqrt_sq, dist_eq_norm] <;> positivity
/-- The inner product of a nonzero vector with a nonzero multiple of
itself, divided by the product of their norms, has absolute value
1. -/
theorem norm_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_ne_zero_mul {x : E} {r : 𝕜} (hx : x ≠ 0)
(hr : r ≠ 0) : ‖⟪x, r • x⟫‖ / (‖x‖ * ‖r • x‖) = 1 := by
have hx' : ‖x‖ ≠ 0 := by simp [hx]
have hr' : ‖r‖ ≠ 0 := by simp [hr]
rw [inner_smul_right, norm_mul, ← inner_self_re_eq_norm, inner_self_eq_norm_mul_norm, norm_smul]
rw [← mul_assoc, ← div_div, mul_div_cancel_right₀ _ hx', ← div_div, mul_comm,
mul_div_cancel_right₀ _ hr', div_self hx']
/-- The inner product of a nonzero vector with a nonzero multiple of
itself, divided by the product of their norms, has absolute value
1. -/
theorem abs_real_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_ne_zero_mul {x : F} {r : ℝ}
(hx : x ≠ 0) (hr : r ≠ 0) : |⟪x, r • x⟫_ℝ| / (‖x‖ * ‖r • x‖) = 1 :=
norm_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_ne_zero_mul hx hr
/-- The inner product of a nonzero vector with a positive multiple of
itself, divided by the product of their norms, has value 1. -/
theorem real_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_pos_mul {x : F} {r : ℝ} (hx : x ≠ 0)
(hr : 0 < r) : ⟪x, r • x⟫_ℝ / (‖x‖ * ‖r • x‖) = 1 := by
rw [real_inner_smul_self_right, norm_smul, Real.norm_eq_abs, ← mul_assoc ‖x‖, mul_comm _ |r|,
mul_assoc, abs_of_nonneg hr.le, div_self]
exact mul_ne_zero hr.ne' (mul_self_ne_zero.2 (norm_ne_zero_iff.2 hx))
/-- The inner product of a nonzero vector with a negative multiple of
itself, divided by the product of their norms, has value -1. -/
theorem real_inner_div_norm_mul_norm_eq_neg_one_of_ne_zero_of_neg_mul {x : F} {r : ℝ} (hx : x ≠ 0)
(hr : r < 0) : ⟪x, r • x⟫_ℝ / (‖x‖ * ‖r • x‖) = -1 := by
rw [real_inner_smul_self_right, norm_smul, Real.norm_eq_abs, ← mul_assoc ‖x‖, mul_comm _ |r|,
mul_assoc, abs_of_neg hr, neg_mul, div_neg_eq_neg_div, div_self]
exact mul_ne_zero hr.ne (mul_self_ne_zero.2 (norm_ne_zero_iff.2 hx))
theorem norm_inner_eq_norm_tfae (x y : E) :
List.TFAE [‖⟪x, y⟫‖ = ‖x‖ * ‖y‖,
x = 0 ∨ y = (⟪x, y⟫ / ⟪x, x⟫) • x,
x = 0 ∨ ∃ r : 𝕜, y = r • x,
x = 0 ∨ y ∈ 𝕜 ∙ x] := by
tfae_have 1 → 2 := by
refine fun h => or_iff_not_imp_left.2 fun hx₀ => ?_
have : ‖x‖ ^ 2 ≠ 0 := pow_ne_zero _ (norm_ne_zero_iff.2 hx₀)
rw [← sq_eq_sq₀, mul_pow, ← mul_right_inj' this, eq_comm, ← sub_eq_zero, ← mul_sub] at h <;>
try positivity
simp only [@norm_sq_eq_re_inner 𝕜] at h
letI : InnerProductSpace.Core 𝕜 E := InnerProductSpace.toCore
erw [← InnerProductSpace.Core.cauchy_schwarz_aux (𝕜 := 𝕜) (F := E)] at h
rw [InnerProductSpace.Core.normSq_eq_zero, sub_eq_zero] at h
rw [div_eq_inv_mul, mul_smul, h, inv_smul_smul₀]
rwa [inner_self_ne_zero]
tfae_have 2 → 3 := fun h => h.imp_right fun h' => ⟨_, h'⟩
tfae_have 3 → 1 := by
rintro (rfl | ⟨r, rfl⟩) <;>
simp [inner_smul_right, norm_smul, inner_self_eq_norm_sq_to_K, inner_self_eq_norm_mul_norm,
sq, mul_left_comm]
tfae_have 3 ↔ 4 := by simp only [Submodule.mem_span_singleton, eq_comm]
tfae_finish
/-- If the inner product of two vectors is equal to the product of their norms, then the two vectors
are multiples of each other. One form of the equality case for Cauchy-Schwarz.
Compare `inner_eq_norm_mul_iff`, which takes the stronger hypothesis `⟪x, y⟫ = ‖x‖ * ‖y‖`. -/
theorem norm_inner_eq_norm_iff {x y : E} (hx₀ : x ≠ 0) (hy₀ : y ≠ 0) :
‖⟪x, y⟫‖ = ‖x‖ * ‖y‖ ↔ ∃ r : 𝕜, r ≠ 0 ∧ y = r • x :=
calc
‖⟪x, y⟫‖ = ‖x‖ * ‖y‖ ↔ x = 0 ∨ ∃ r : 𝕜, y = r • x :=
(@norm_inner_eq_norm_tfae 𝕜 _ _ _ _ x y).out 0 2
_ ↔ ∃ r : 𝕜, y = r • x := or_iff_right hx₀
_ ↔ ∃ r : 𝕜, r ≠ 0 ∧ y = r • x :=
⟨fun ⟨r, h⟩ => ⟨r, fun hr₀ => hy₀ <| h.symm ▸ smul_eq_zero.2 <| Or.inl hr₀, h⟩,
fun ⟨r, _hr₀, h⟩ => ⟨r, h⟩⟩
/-- The inner product of two vectors, divided by the product of their
norms, has absolute value 1 if and only if they are nonzero and one is
a multiple of the other. One form of equality case for Cauchy-Schwarz. -/
theorem norm_inner_div_norm_mul_norm_eq_one_iff (x y : E) :
‖⟪x, y⟫ / (‖x‖ * ‖y‖)‖ = 1 ↔ x ≠ 0 ∧ ∃ r : 𝕜, r ≠ 0 ∧ y = r • x := by
constructor
· intro h
have hx₀ : x ≠ 0 := fun h₀ => by simp [h₀] at h
have hy₀ : y ≠ 0 := fun h₀ => by simp [h₀] at h
refine ⟨hx₀, (norm_inner_eq_norm_iff hx₀ hy₀).1 <| eq_of_div_eq_one ?_⟩
simpa using h
· rintro ⟨hx, ⟨r, ⟨hr, rfl⟩⟩⟩
simp only [norm_div, norm_mul, norm_ofReal, abs_norm]
exact norm_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_ne_zero_mul hx hr
/-- The inner product of two vectors, divided by the product of their
norms, has absolute value 1 if and only if they are nonzero and one is
a multiple of the other. One form of equality case for Cauchy-Schwarz. -/
theorem abs_real_inner_div_norm_mul_norm_eq_one_iff (x y : F) :
|⟪x, y⟫_ℝ / (‖x‖ * ‖y‖)| = 1 ↔ x ≠ 0 ∧ ∃ r : ℝ, r ≠ 0 ∧ y = r • x :=
@norm_inner_div_norm_mul_norm_eq_one_iff ℝ F _ _ _ x y
theorem inner_eq_norm_mul_iff_div {x y : E} (h₀ : x ≠ 0) :
⟪x, y⟫ = (‖x‖ : 𝕜) * ‖y‖ ↔ (‖y‖ / ‖x‖ : 𝕜) • x = y := by
have h₀' := h₀
rw [← norm_ne_zero_iff, Ne, ← @ofReal_eq_zero 𝕜] at h₀'
constructor <;> intro h
· have : x = 0 ∨ y = (⟪x, y⟫ / ⟪x, x⟫ : 𝕜) • x :=
((@norm_inner_eq_norm_tfae 𝕜 _ _ _ _ x y).out 0 1).1 (by simp [h])
rw [this.resolve_left h₀, h]
simp [norm_smul, inner_self_ofReal_norm, mul_div_cancel_right₀ _ h₀']
· conv_lhs => rw [← h, inner_smul_right, inner_self_eq_norm_sq_to_K]
field_simp [sq, mul_left_comm]
/-- If the inner product of two vectors is equal to the product of their norms (i.e.,
`⟪x, y⟫ = ‖x‖ * ‖y‖`), then the two vectors are nonnegative real multiples of each other. One form
of the equality case for Cauchy-Schwarz.
Compare `norm_inner_eq_norm_iff`, which takes the weaker hypothesis `abs ⟪x, y⟫ = ‖x‖ * ‖y‖`. -/
theorem inner_eq_norm_mul_iff {x y : E} :
⟪x, y⟫ = (‖x‖ : 𝕜) * ‖y‖ ↔ (‖y‖ : 𝕜) • x = (‖x‖ : 𝕜) • y := by
rcases eq_or_ne x 0 with (rfl | h₀)
· simp
· rw [inner_eq_norm_mul_iff_div h₀, div_eq_inv_mul, mul_smul, inv_smul_eq_iff₀]
rwa [Ne, ofReal_eq_zero, norm_eq_zero]
/-- If the inner product of two vectors is equal to the product of their norms (i.e.,
`⟪x, y⟫ = ‖x‖ * ‖y‖`), then the two vectors are nonnegative real multiples of each other. One form
of the equality case for Cauchy-Schwarz.
Compare `norm_inner_eq_norm_iff`, which takes the weaker hypothesis `abs ⟪x, y⟫ = ‖x‖ * ‖y‖`. -/
theorem inner_eq_norm_mul_iff_real {x y : F} : ⟪x, y⟫_ℝ = ‖x‖ * ‖y‖ ↔ ‖y‖ • x = ‖x‖ • y :=
inner_eq_norm_mul_iff
/-- The inner product of two vectors, divided by the product of their
norms, has value 1 if and only if they are nonzero and one is
a positive multiple of the other. -/
theorem real_inner_div_norm_mul_norm_eq_one_iff (x y : F) :
⟪x, y⟫_ℝ / (‖x‖ * ‖y‖) = 1 ↔ x ≠ 0 ∧ ∃ r : ℝ, 0 < r ∧ y = r • x := by
constructor
· intro h
have hx₀ : x ≠ 0 := fun h₀ => by simp [h₀] at h
have hy₀ : y ≠ 0 := fun h₀ => by simp [h₀] at h
refine ⟨hx₀, ‖y‖ / ‖x‖, div_pos (norm_pos_iff.2 hy₀) (norm_pos_iff.2 hx₀), ?_⟩
exact ((inner_eq_norm_mul_iff_div hx₀).1 (eq_of_div_eq_one h)).symm
· rintro ⟨hx, ⟨r, ⟨hr, rfl⟩⟩⟩
exact real_inner_div_norm_mul_norm_eq_one_of_ne_zero_of_pos_mul hx hr
/-- The inner product of two vectors, divided by the product of their
norms, has value -1 if and only if they are nonzero and one is
a negative multiple of the other. -/
theorem real_inner_div_norm_mul_norm_eq_neg_one_iff (x y : F) :
⟪x, y⟫_ℝ / (‖x‖ * ‖y‖) = -1 ↔ x ≠ 0 ∧ ∃ r : ℝ, r < 0 ∧ y = r • x := by
rw [← neg_eq_iff_eq_neg, ← neg_div, ← inner_neg_right, ← norm_neg y,
real_inner_div_norm_mul_norm_eq_one_iff, (@neg_surjective ℝ _).exists]
refine Iff.rfl.and (exists_congr fun r => ?_)
rw [neg_pos, neg_smul, neg_inj]
/-- If the inner product of two unit vectors is `1`, then the two vectors are equal. One form of
the equality case for Cauchy-Schwarz. -/
theorem inner_eq_one_iff_of_norm_one {x y : E} (hx : ‖x‖ = 1) (hy : ‖y‖ = 1) :
⟪x, y⟫ = 1 ↔ x = y := by
convert inner_eq_norm_mul_iff (𝕜 := 𝕜) (E := E) using 2 <;> simp [hx, hy]
theorem inner_lt_norm_mul_iff_real {x y : F} : ⟪x, y⟫_ℝ < ‖x‖ * ‖y‖ ↔ ‖y‖ • x ≠ ‖x‖ • y :=
calc
⟪x, y⟫_ℝ < ‖x‖ * ‖y‖ ↔ ⟪x, y⟫_ℝ ≠ ‖x‖ * ‖y‖ :=
⟨ne_of_lt, lt_of_le_of_ne (real_inner_le_norm _ _)⟩
_ ↔ ‖y‖ • x ≠ ‖x‖ • y := not_congr inner_eq_norm_mul_iff_real
/-- If the inner product of two unit vectors is strictly less than `1`, then the two vectors are
distinct. One form of the equality case for Cauchy-Schwarz. -/
theorem inner_lt_one_iff_real_of_norm_one {x y : F} (hx : ‖x‖ = 1) (hy : ‖y‖ = 1) :
⟪x, y⟫_ℝ < 1 ↔ x ≠ y := by convert inner_lt_norm_mul_iff_real (F := F) <;> simp [hx, hy]
/-- The sphere of radius `r = ‖y‖` is tangent to the plane `⟪x, y⟫ = ‖y‖ ^ 2` at `x = y`. -/
theorem eq_of_norm_le_re_inner_eq_norm_sq {x y : E} (hle : ‖x‖ ≤ ‖y‖) (h : re ⟪x, y⟫ = ‖y‖ ^ 2) :
x = y := by
suffices H : re ⟪x - y, x - y⟫ ≤ 0 by rwa [re_inner_self_nonpos, sub_eq_zero] at H
have H₁ : ‖x‖ ^ 2 ≤ ‖y‖ ^ 2 := by gcongr
have H₂ : re ⟪y, x⟫ = ‖y‖ ^ 2 := by rwa [← inner_conj_symm, conj_re]
simpa [inner_sub_left, inner_sub_right, ← norm_sq_eq_re_inner, h, H₂] using H₁
end Norm
section RCLike
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
/-- A field `𝕜` satisfying `RCLike` is itself a `𝕜`-inner product space. -/
instance RCLike.innerProductSpace : InnerProductSpace 𝕜 𝕜 where
inner x y := y * conj x
norm_sq_eq_re_inner x := by simp only [inner, mul_conj, ← ofReal_pow, ofReal_re]
conj_inner_symm x y := by simp only [mul_comm, map_mul, starRingEnd_self_apply]
add_left x y z := by simp only [mul_add, map_add]
smul_left x y z := by simp only [mul_comm (conj z), mul_assoc, smul_eq_mul, map_mul]
@[simp]
theorem RCLike.inner_apply (x y : 𝕜) : ⟪x, y⟫ = y * conj x :=
rfl
/-- A version of `RCLike.inner_apply` that swaps the order of multiplication. -/
theorem RCLike.inner_apply' (x y : 𝕜) : ⟪x, y⟫ = conj x * y := mul_comm _ _
end RCLike
section RCLikeToReal
open scoped InnerProductSpace
variable {G : Type*}
variable (𝕜 E)
variable [SeminormedAddCommGroup E] [InnerProductSpace 𝕜 E]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
/-- A general inner product implies a real inner product. This is not registered as an instance
since `𝕜` does not appear in the return type `Inner ℝ E`. -/
def Inner.rclikeToReal : Inner ℝ E where inner x y := re ⟪x, y⟫
/-- A general inner product space structure implies a real inner product structure.
This is not registered as an instance since
* `𝕜` does not appear in the return type `InnerProductSpace ℝ E`,
* It is likely to create instance diamonds, as it builds upon the diamond-prone
`NormedSpace.restrictScalars`.
However, it can be used in a proof to obtain a real inner product space structure from a given
`𝕜`-inner product space structure. -/
-- See note [reducible non instances]
abbrev InnerProductSpace.rclikeToReal : InnerProductSpace ℝ E :=
{ Inner.rclikeToReal 𝕜 E,
NormedSpace.restrictScalars ℝ 𝕜
E with
norm_sq_eq_re_inner := norm_sq_eq_re_inner
conj_inner_symm := fun _ _ => inner_re_symm _ _
add_left := fun x y z => by
change re ⟪x + y, z⟫ = re ⟪x, z⟫ + re ⟪y, z⟫
simp only [inner_add_left, map_add]
smul_left := fun x y r => by
change re ⟪(r : 𝕜) • x, y⟫ = r * re ⟪x, y⟫
simp only [inner_smul_left, conj_ofReal, re_ofReal_mul] }
variable {E}
theorem real_inner_eq_re_inner (x y : E) :
@Inner.inner ℝ E (Inner.rclikeToReal 𝕜 E) x y = re ⟪x, y⟫ :=
rfl
theorem real_inner_I_smul_self (x : E) :
@Inner.inner ℝ E (Inner.rclikeToReal 𝕜 E) x ((I : 𝕜) • x) = 0 := by
simp [real_inner_eq_re_inner 𝕜, inner_smul_right]
/-- A complex inner product implies a real inner product. This cannot be an instance since it
creates a diamond with `PiLp.innerProductSpace` because `re (sum i, inner (x i) (y i))` and
`sum i, re (inner (x i) (y i))` are not defeq. -/
def InnerProductSpace.complexToReal [SeminormedAddCommGroup G] [InnerProductSpace ℂ G] :
InnerProductSpace ℝ G :=
InnerProductSpace.rclikeToReal ℂ G
instance : InnerProductSpace ℝ ℂ := InnerProductSpace.complexToReal
@[simp]
protected theorem Complex.inner (w z : ℂ) : ⟪w, z⟫_ℝ = (z * conj w).re :=
rfl
end RCLikeToReal
/-- An `RCLike` field is a real inner product space. -/
noncomputable instance RCLike.toInnerProductSpaceReal : InnerProductSpace ℝ 𝕜 where
__ := Inner.rclikeToReal 𝕜 𝕜
norm_sq_eq_re_inner := norm_sq_eq_re_inner
conj_inner_symm x y := inner_re_symm ..
add_left x y z :=
show re (_ * _) = re (_ * _) + re (_ * _) by simp only [map_add, mul_re, conj_re, conj_im]; ring
smul_left x y r :=
show re (_ * _) = _ * re (_ * _) by
simp only [mul_re, conj_re, conj_im, conj_trivial, smul_re, smul_im]; ring
-- The instance above does not create diamonds for concrete `𝕜`:
example : (innerProductSpace : InnerProductSpace ℝ ℝ) = RCLike.toInnerProductSpaceReal := rfl
example :
(instInnerProductSpaceRealComplex : InnerProductSpace ℝ ℂ) = RCLike.toInnerProductSpaceReal := rfl
| Mathlib/Analysis/InnerProductSpace/Basic.lean | 1,035 | 1,038 | |
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Robert Y. Lewis
-/
import Mathlib.RingTheory.WittVector.InitTail
/-!
# Truncated Witt vectors
The ring of truncated Witt vectors (of length `n`) is a quotient of the ring of Witt vectors.
It retains the first `n` coefficients of each Witt vector.
In this file, we set up the basic quotient API for this ring.
The ring of Witt vectors is the projective limit of all the rings of truncated Witt vectors.
## Main declarations
- `TruncatedWittVector`: the underlying type of the ring of truncated Witt vectors
- `TruncatedWittVector.instCommRing`: the ring structure on truncated Witt vectors
- `WittVector.truncate`: the quotient homomorphism that truncates a Witt vector,
to obtain a truncated Witt vector
- `TruncatedWittVector.truncate`: the homomorphism that truncates
a truncated Witt vector of length `n` to one of length `m` (for some `m ≤ n`)
- `WittVector.lift`: the unique ring homomorphism into the ring of Witt vectors
that is compatible with a family of ring homomorphisms to the truncated Witt vectors:
this realizes the ring of Witt vectors as projective limit of the rings of truncated Witt vectors
## References
* [Hazewinkel, *Witt Vectors*][Haze09]
* [Commelin and Lewis, *Formalizing the Ring of Witt Vectors*][CL21]
-/
open Function (Injective Surjective)
noncomputable section
variable {p : ℕ} (n : ℕ) (R : Type*)
local notation "𝕎" => WittVector p -- type as `\bbW`
/-- A truncated Witt vector over `R` is a vector of elements of `R`,
i.e., the first `n` coefficients of a Witt vector.
We will define operations on this type that are compatible with the (untruncated) Witt
vector operations.
`TruncatedWittVector p n R` takes a parameter `p : ℕ` that is not used in the definition.
In practice, this number `p` is assumed to be a prime number,
and under this assumption we construct a ring structure on `TruncatedWittVector p n R`.
(`TruncatedWittVector p₁ n R` and `TruncatedWittVector p₂ n R` are definitionally
equal as types but will have different ring operations.)
-/
@[nolint unusedArguments]
def TruncatedWittVector (_ : ℕ) (n : ℕ) (R : Type*) :=
Fin n → R
instance (p n : ℕ) (R : Type*) [Inhabited R] : Inhabited (TruncatedWittVector p n R) :=
⟨fun _ => default⟩
variable {n R}
namespace TruncatedWittVector
variable (p) in
/-- Create a `TruncatedWittVector` from a vector `x`. -/
def mk (x : Fin n → R) : TruncatedWittVector p n R :=
x
/-- `x.coeff i` is the `i`th entry of `x`. -/
def coeff (i : Fin n) (x : TruncatedWittVector p n R) : R :=
x i
@[ext]
theorem ext {x y : TruncatedWittVector p n R} (h : ∀ i, x.coeff i = y.coeff i) : x = y :=
funext h
@[simp]
theorem coeff_mk (x : Fin n → R) (i : Fin n) : (mk p x).coeff i = x i :=
rfl
@[simp]
theorem mk_coeff (x : TruncatedWittVector p n R) : (mk p fun i => x.coeff i) = x := by
ext i; rw [coeff_mk]
variable [CommRing R]
/-- We can turn a truncated Witt vector `x` into a Witt vector
by setting all coefficients after `x` to be 0.
-/
def out (x : TruncatedWittVector p n R) : 𝕎 R :=
@WittVector.mk' p _ fun i => if h : i < n then x.coeff ⟨i, h⟩ else 0
@[simp]
theorem coeff_out (x : TruncatedWittVector p n R) (i : Fin n) : x.out.coeff i = x.coeff i := by
rw [out]; dsimp only; rw [dif_pos i.is_lt, Fin.eta]
theorem out_injective : Injective (@out p n R _) := by
intro x y h
ext i
rw [WittVector.ext_iff] at h
simpa only [coeff_out] using h ↑i
end TruncatedWittVector
namespace WittVector
variable (n)
section
/-- `truncateFun n x` uses the first `n` entries of `x` to construct a `TruncatedWittVector`,
which has the same base `p` as `x`.
This function is bundled into a ring homomorphism in `WittVector.truncate` -/
| def truncateFun (x : 𝕎 R) : TruncatedWittVector p n R :=
TruncatedWittVector.mk p fun i => x.coeff i
end
| Mathlib/RingTheory/WittVector/Truncated.lean | 118 | 122 |
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Alistair Tucker, Wen Yang
-/
import Mathlib.Order.Interval.Set.Image
import Mathlib.Order.CompleteLatticeIntervals
import Mathlib.Topology.Order.DenselyOrdered
import Mathlib.Topology.Order.Monotone
import Mathlib.Topology.Connected.TotallyDisconnected
/-!
# Intermediate Value Theorem
In this file we prove the Intermediate Value Theorem: if `f : α → β` is a function defined on a
connected set `s` that takes both values `≤ a` and values `≥ a` on `s`, then it is equal to `a` at
some point of `s`. We also prove that intervals in a dense conditionally complete order are
preconnected and any preconnected set is an interval. Then we specialize IVT to functions continuous
on intervals.
## Main results
* `IsPreconnected_I??` : all intervals `I??` are preconnected,
* `IsPreconnected.intermediate_value`, `intermediate_value_univ` : Intermediate Value Theorem for
connected sets and connected spaces, respectively;
* `intermediate_value_Icc`, `intermediate_value_Icc'`: Intermediate Value Theorem for functions
on closed intervals.
### Miscellaneous facts
* `IsClosed.Icc_subset_of_forall_mem_nhdsWithin` : “Continuous induction” principle;
if `s ∩ [a, b]` is closed, `a ∈ s`, and for each `x ∈ [a, b) ∩ s` some of its right neighborhoods
is included `s`, then `[a, b] ⊆ s`.
* `IsClosed.Icc_subset_of_forall_exists_gt`, `IsClosed.mem_of_ge_of_forall_exists_gt` : two
other versions of the “continuous induction” principle.
* `ContinuousOn.StrictMonoOn_of_InjOn_Ioo` :
Every continuous injective `f : (a, b) → δ` is strictly monotone
or antitone (increasing or decreasing).
## Tags
intermediate value theorem, connected space, connected set
-/
open Filter OrderDual TopologicalSpace Function Set
open scoped Topology Filter Interval
universe u v
/-!
### Intermediate value theorem on a (pre)connected space
In this section we prove the following theorem (see `IsPreconnected.intermediate_value₂`): if `f`
and `g` are two functions continuous on a preconnected set `s`, `f a ≤ g a` at some `a ∈ s` and
`g b ≤ f b` at some `b ∈ s`, then `f c = g c` at some `c ∈ s`. We prove several versions of this
statement, including the classical IVT that corresponds to a constant function `g`.
-/
section
variable {X : Type u} {α : Type v} [TopologicalSpace X] [LinearOrder α] [TopologicalSpace α]
[OrderClosedTopology α]
/-- Intermediate value theorem for two functions: if `f` and `g` are two continuous functions
on a preconnected space and `f a ≤ g a` and `g b ≤ f b`, then for some `x` we have `f x = g x`. -/
theorem intermediate_value_univ₂ [PreconnectedSpace X] {a b : X} {f g : X → α} (hf : Continuous f)
(hg : Continuous g) (ha : f a ≤ g a) (hb : g b ≤ f b) : ∃ x, f x = g x := by
obtain ⟨x, _, hfg, hgf⟩ : (univ ∩ { x | f x ≤ g x ∧ g x ≤ f x }).Nonempty :=
isPreconnected_closed_iff.1 PreconnectedSpace.isPreconnected_univ _ _ (isClosed_le hf hg)
(isClosed_le hg hf) (fun _ _ => le_total _ _) ⟨a, trivial, ha⟩ ⟨b, trivial, hb⟩
exact ⟨x, le_antisymm hfg hgf⟩
theorem intermediate_value_univ₂_eventually₁ [PreconnectedSpace X] {a : X} {l : Filter X} [NeBot l]
{f g : X → α} (hf : Continuous f) (hg : Continuous g) (ha : f a ≤ g a) (he : g ≤ᶠ[l] f) :
∃ x, f x = g x :=
let ⟨_, h⟩ := he.exists; intermediate_value_univ₂ hf hg ha h
theorem intermediate_value_univ₂_eventually₂ [PreconnectedSpace X] {l₁ l₂ : Filter X} [NeBot l₁]
[NeBot l₂] {f g : X → α} (hf : Continuous f) (hg : Continuous g) (he₁ : f ≤ᶠ[l₁] g)
(he₂ : g ≤ᶠ[l₂] f) : ∃ x, f x = g x :=
let ⟨_, h₁⟩ := he₁.exists
let ⟨_, h₂⟩ := he₂.exists
intermediate_value_univ₂ hf hg h₁ h₂
/-- Intermediate value theorem for two functions: if `f` and `g` are two functions continuous
on a preconnected set `s` and for some `a b ∈ s` we have `f a ≤ g a` and `g b ≤ f b`,
then for some `x ∈ s` we have `f x = g x`. -/
theorem IsPreconnected.intermediate_value₂ {s : Set X} (hs : IsPreconnected s) {a b : X}
(ha : a ∈ s) (hb : b ∈ s) {f g : X → α} (hf : ContinuousOn f s) (hg : ContinuousOn g s)
(ha' : f a ≤ g a) (hb' : g b ≤ f b) : ∃ x ∈ s, f x = g x :=
let ⟨x, hx⟩ :=
@intermediate_value_univ₂ s α _ _ _ _ (Subtype.preconnectedSpace hs) ⟨a, ha⟩ ⟨b, hb⟩ _ _
(continuousOn_iff_continuous_restrict.1 hf) (continuousOn_iff_continuous_restrict.1 hg) ha'
hb'
⟨x, x.2, hx⟩
theorem IsPreconnected.intermediate_value₂_eventually₁ {s : Set X} (hs : IsPreconnected s) {a : X}
{l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f g : X → α} (hf : ContinuousOn f s)
(hg : ContinuousOn g s) (ha' : f a ≤ g a) (he : g ≤ᶠ[l] f) : ∃ x ∈ s, f x = g x := by
rw [continuousOn_iff_continuous_restrict] at hf hg
obtain ⟨b, h⟩ :=
@intermediate_value_univ₂_eventually₁ _ _ _ _ _ _ (Subtype.preconnectedSpace hs) ⟨a, ha⟩ _
(comap_coe_neBot_of_le_principal hl) _ _ hf hg ha' (he.comap _)
exact ⟨b, b.prop, h⟩
theorem IsPreconnected.intermediate_value₂_eventually₂ {s : Set X} (hs : IsPreconnected s)
{l₁ l₂ : Filter X} [NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f g : X → α}
(hf : ContinuousOn f s) (hg : ContinuousOn g s) (he₁ : f ≤ᶠ[l₁] g) (he₂ : g ≤ᶠ[l₂] f) :
∃ x ∈ s, f x = g x := by
rw [continuousOn_iff_continuous_restrict] at hf hg
obtain ⟨b, h⟩ :=
@intermediate_value_univ₂_eventually₂ _ _ _ _ _ _ (Subtype.preconnectedSpace hs) _ _
(comap_coe_neBot_of_le_principal hl₁) (comap_coe_neBot_of_le_principal hl₂) _ _ hf hg
(he₁.comap _) (he₂.comap _)
exact ⟨b, b.prop, h⟩
/-- **Intermediate Value Theorem** for continuous functions on connected sets. -/
theorem IsPreconnected.intermediate_value {s : Set X} (hs : IsPreconnected s) {a b : X} (ha : a ∈ s)
(hb : b ∈ s) {f : X → α} (hf : ContinuousOn f s) : Icc (f a) (f b) ⊆ f '' s := fun _x hx =>
hs.intermediate_value₂ ha hb hf continuousOn_const hx.1 hx.2
theorem IsPreconnected.intermediate_value_Ico {s : Set X} (hs : IsPreconnected s) {a : X}
{l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s) {v : α}
(ht : Tendsto f l (𝓝 v)) : Ico (f a) v ⊆ f '' s := fun _ h =>
hs.intermediate_value₂_eventually₁ ha hl hf continuousOn_const h.1 (ht.eventually_const_le h.2)
theorem IsPreconnected.intermediate_value_Ioc {s : Set X} (hs : IsPreconnected s) {a : X}
{l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s) {v : α}
(ht : Tendsto f l (𝓝 v)) : Ioc v (f a) ⊆ f '' s := fun _ h =>
(hs.intermediate_value₂_eventually₁ ha hl continuousOn_const hf h.2
(ht.eventually_le_const h.1)).imp fun _ h => h.imp_right Eq.symm
theorem IsPreconnected.intermediate_value_Ioo {s : Set X} (hs : IsPreconnected s) {l₁ l₂ : Filter X}
[NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
{v₁ v₂ : α} (ht₁ : Tendsto f l₁ (𝓝 v₁)) (ht₂ : Tendsto f l₂ (𝓝 v₂)) :
Ioo v₁ v₂ ⊆ f '' s := fun _ h =>
hs.intermediate_value₂_eventually₂ hl₁ hl₂ hf continuousOn_const
(ht₁.eventually_le_const h.1) (ht₂.eventually_const_le h.2)
theorem IsPreconnected.intermediate_value_Ici {s : Set X} (hs : IsPreconnected s) {a : X}
{l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
(ht : Tendsto f l atTop) : Ici (f a) ⊆ f '' s := fun y h =>
hs.intermediate_value₂_eventually₁ ha hl hf continuousOn_const h (tendsto_atTop.1 ht y)
theorem IsPreconnected.intermediate_value_Iic {s : Set X} (hs : IsPreconnected s) {a : X}
{l : Filter X} (ha : a ∈ s) [NeBot l] (hl : l ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
(ht : Tendsto f l atBot) : Iic (f a) ⊆ f '' s := fun y h =>
(hs.intermediate_value₂_eventually₁ ha hl continuousOn_const hf h (tendsto_atBot.1 ht y)).imp
fun _ h => h.imp_right Eq.symm
theorem IsPreconnected.intermediate_value_Ioi {s : Set X} (hs : IsPreconnected s) {l₁ l₂ : Filter X}
[NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
{v : α} (ht₁ : Tendsto f l₁ (𝓝 v)) (ht₂ : Tendsto f l₂ atTop) : Ioi v ⊆ f '' s := fun y h =>
hs.intermediate_value₂_eventually₂ hl₁ hl₂ hf continuousOn_const
(ht₁.eventually_le_const h) (ht₂.eventually_ge_atTop y)
theorem IsPreconnected.intermediate_value_Iio {s : Set X} (hs : IsPreconnected s) {l₁ l₂ : Filter X}
[NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
{v : α} (ht₁ : Tendsto f l₁ atBot) (ht₂ : Tendsto f l₂ (𝓝 v)) : Iio v ⊆ f '' s := fun y h =>
hs.intermediate_value₂_eventually₂ hl₁ hl₂ hf continuousOn_const (ht₁.eventually_le_atBot y)
(ht₂.eventually_const_le h)
theorem IsPreconnected.intermediate_value_Iii {s : Set X} (hs : IsPreconnected s) {l₁ l₂ : Filter X}
[NeBot l₁] [NeBot l₂] (hl₁ : l₁ ≤ 𝓟 s) (hl₂ : l₂ ≤ 𝓟 s) {f : X → α} (hf : ContinuousOn f s)
(ht₁ : Tendsto f l₁ atBot) (ht₂ : Tendsto f l₂ atTop) : univ ⊆ f '' s := fun y _ =>
hs.intermediate_value₂_eventually₂ hl₁ hl₂ hf continuousOn_const (ht₁.eventually_le_atBot y)
(ht₂.eventually_ge_atTop y)
/-- **Intermediate Value Theorem** for continuous functions on connected spaces. -/
theorem intermediate_value_univ [PreconnectedSpace X] (a b : X) {f : X → α} (hf : Continuous f) :
Icc (f a) (f b) ⊆ range f := fun _ hx => intermediate_value_univ₂ hf continuous_const hx.1 hx.2
/-- **Intermediate Value Theorem** for continuous functions on connected spaces. -/
theorem mem_range_of_exists_le_of_exists_ge [PreconnectedSpace X] {c : α} {f : X → α}
(hf : Continuous f) (h₁ : ∃ a, f a ≤ c) (h₂ : ∃ b, c ≤ f b) : c ∈ range f :=
let ⟨a, ha⟩ := h₁; let ⟨b, hb⟩ := h₂; intermediate_value_univ a b hf ⟨ha, hb⟩
/-!
### (Pre)connected sets in a linear order
In this section we prove the following results:
* `IsPreconnected.ordConnected`: any preconnected set `s` in a linear order is `OrdConnected`,
i.e. `a ∈ s` and `b ∈ s` imply `Icc a b ⊆ s`;
* `IsPreconnected.mem_intervals`: any preconnected set `s` in a conditionally complete linear order
is one of the intervals `Set.Icc`, `set.`Ico`, `set.Ioc`, `set.Ioo`, ``Set.Ici`, `Set.Iic`,
`Set.Ioi`, `Set.Iio`; note that this is false for non-complete orders: e.g., in `ℝ \ {0}`, the set
of positive numbers cannot be represented as `Set.Ioi _`.
-/
/-- If a preconnected set contains endpoints of an interval, then it includes the whole interval. -/
theorem IsPreconnected.Icc_subset {s : Set α} (hs : IsPreconnected s) {a b : α} (ha : a ∈ s)
(hb : b ∈ s) : Icc a b ⊆ s := by
simpa only [image_id] using hs.intermediate_value ha hb continuousOn_id
theorem IsPreconnected.ordConnected {s : Set α} (h : IsPreconnected s) : OrdConnected s :=
⟨fun _ hx _ hy => h.Icc_subset hx hy⟩
/-- If a preconnected set contains endpoints of an interval, then it includes the whole interval. -/
theorem IsConnected.Icc_subset {s : Set α} (hs : IsConnected s) {a b : α} (ha : a ∈ s)
(hb : b ∈ s) : Icc a b ⊆ s :=
hs.2.Icc_subset ha hb
/-- If preconnected set in a linear order space is unbounded below and above, then it is the whole
space. -/
theorem IsPreconnected.eq_univ_of_unbounded {s : Set α} (hs : IsPreconnected s) (hb : ¬BddBelow s)
(ha : ¬BddAbove s) : s = univ := by
refine eq_univ_of_forall fun x => ?_
obtain ⟨y, ys, hy⟩ : ∃ y ∈ s, y < x := not_bddBelow_iff.1 hb x
obtain ⟨z, zs, hz⟩ : ∃ z ∈ s, x < z := not_bddAbove_iff.1 ha x
exact hs.Icc_subset ys zs ⟨le_of_lt hy, le_of_lt hz⟩
end
variable {α : Type u} [ConditionallyCompleteLinearOrder α] [TopologicalSpace α] [OrderTopology α]
/-- A bounded connected subset of a conditionally complete linear order includes the open interval
`(Inf s, Sup s)`. -/
theorem IsConnected.Ioo_csInf_csSup_subset {s : Set α} (hs : IsConnected s) (hb : BddBelow s)
(ha : BddAbove s) : Ioo (sInf s) (sSup s) ⊆ s := fun _x hx =>
let ⟨_y, ys, hy⟩ := (isGLB_lt_iff (isGLB_csInf hs.nonempty hb)).1 hx.1
let ⟨_z, zs, hz⟩ := (lt_isLUB_iff (isLUB_csSup hs.nonempty ha)).1 hx.2
hs.Icc_subset ys zs ⟨hy.le, hz.le⟩
theorem eq_Icc_csInf_csSup_of_connected_bdd_closed {s : Set α} (hc : IsConnected s)
(hb : BddBelow s) (ha : BddAbove s) (hcl : IsClosed s) : s = Icc (sInf s) (sSup s) :=
(subset_Icc_csInf_csSup hb ha).antisymm <|
hc.Icc_subset (hcl.csInf_mem hc.nonempty hb) (hcl.csSup_mem hc.nonempty ha)
theorem IsPreconnected.Ioi_csInf_subset {s : Set α} (hs : IsPreconnected s) (hb : BddBelow s)
(ha : ¬BddAbove s) : Ioi (sInf s) ⊆ s := fun x hx =>
have sne : s.Nonempty := nonempty_of_not_bddAbove ha
let ⟨_y, ys, hy⟩ : ∃ y ∈ s, y < x := (isGLB_lt_iff (isGLB_csInf sne hb)).1 hx
let ⟨_z, zs, hz⟩ : ∃ z ∈ s, x < z := not_bddAbove_iff.1 ha x
hs.Icc_subset ys zs ⟨hy.le, hz.le⟩
theorem IsPreconnected.Iio_csSup_subset {s : Set α} (hs : IsPreconnected s) (hb : ¬BddBelow s)
(ha : BddAbove s) : Iio (sSup s) ⊆ s :=
IsPreconnected.Ioi_csInf_subset (α := αᵒᵈ) hs ha hb
/-- A preconnected set in a conditionally complete linear order is either one of the intervals
`[Inf s, Sup s]`, `[Inf s, Sup s)`, `(Inf s, Sup s]`, `(Inf s, Sup s)`, `[Inf s, +∞)`,
`(Inf s, +∞)`, `(-∞, Sup s]`, `(-∞, Sup s)`, `(-∞, +∞)`, or `∅`. The converse statement requires
`α` to be densely ordered. -/
theorem IsPreconnected.mem_intervals {s : Set α} (hs : IsPreconnected s) :
s ∈
({Icc (sInf s) (sSup s), Ico (sInf s) (sSup s), Ioc (sInf s) (sSup s), Ioo (sInf s) (sSup s),
Ici (sInf s), Ioi (sInf s), Iic (sSup s), Iio (sSup s), univ, ∅} : Set (Set α)) := by
rcases s.eq_empty_or_nonempty with (rfl | hne)
· apply_rules [Or.inr, mem_singleton]
have hs' : IsConnected s := ⟨hne, hs⟩
by_cases hb : BddBelow s <;> by_cases ha : BddAbove s
· refine mem_of_subset_of_mem ?_ <| mem_Icc_Ico_Ioc_Ioo_of_subset_of_subset
(hs'.Ioo_csInf_csSup_subset hb ha) (subset_Icc_csInf_csSup hb ha)
simp only [insert_subset_iff, mem_insert_iff, mem_singleton_iff, true_or, or_true,
singleton_subset_iff, and_self]
· refine Or.inr <| Or.inr <| Or.inr <| Or.inr ?_
rcases mem_Ici_Ioi_of_subset_of_subset (hs.Ioi_csInf_subset hb ha) fun x hx ↦
csInf_le hb hx with hs | hs
· exact Or.inl hs
· exact Or.inr (Or.inl hs)
· iterate 6 apply Or.inr
rcases mem_Iic_Iio_of_subset_of_subset (hs.Iio_csSup_subset hb ha) fun x hx ↦
le_csSup ha hx with hs | hs
· exact Or.inl hs
· exact Or.inr (Or.inl hs)
· iterate 8 apply Or.inr
exact Or.inl (hs.eq_univ_of_unbounded hb ha)
/-- A preconnected set is either one of the intervals `Icc`, `Ico`, `Ioc`, `Ioo`, `Ici`, `Ioi`,
`Iic`, `Iio`, or `univ`, or `∅`. The converse statement requires `α` to be densely ordered. Though
one can represent `∅` as `(Inf ∅, Inf ∅)`, we include it into the list of possible cases to improve
readability. -/
theorem setOf_isPreconnected_subset_of_ordered :
{ s : Set α | IsPreconnected s } ⊆
-- bounded intervals
(range (uncurry Icc) ∪ range (uncurry Ico) ∪ range (uncurry Ioc) ∪ range (uncurry Ioo)) ∪
-- unbounded intervals and `univ`
(range Ici ∪ range Ioi ∪ range Iic ∪ range Iio ∪ {univ, ∅}) := by
intro s hs
rcases hs.mem_intervals with (hs | hs | hs | hs | hs | hs | hs | hs | hs | hs) <;> rw [hs] <;>
simp only [union_insert, union_singleton, mem_insert_iff, mem_union, mem_range, Prod.exists,
uncurry_apply_pair, exists_apply_eq_apply, true_or, or_true, exists_apply_eq_apply2]
/-!
### Intervals are connected
In this section we prove that a closed interval (hence, any `OrdConnected` set) in a dense
conditionally complete linear order is preconnected.
-/
/-- A "continuous induction principle" for a closed interval: if a set `s` meets `[a, b]`
on a closed subset, contains `a`, and the set `s ∩ [a, b)` has no maximal point, then `b ∈ s`. -/
theorem IsClosed.mem_of_ge_of_forall_exists_gt {a b : α} {s : Set α} (hs : IsClosed (s ∩ Icc a b))
(ha : a ∈ s) (hab : a ≤ b) (hgt : ∀ x ∈ s ∩ Ico a b, (s ∩ Ioc x b).Nonempty) : b ∈ s := by
let S := s ∩ Icc a b
replace ha : a ∈ S := ⟨ha, left_mem_Icc.2 hab⟩
have Sbd : BddAbove S := ⟨b, fun z hz => hz.2.2⟩
let c := sSup (s ∩ Icc a b)
have c_mem : c ∈ S := hs.csSup_mem ⟨_, ha⟩ Sbd
have c_le : c ≤ b := csSup_le ⟨_, ha⟩ fun x hx => hx.2.2
rcases eq_or_lt_of_le c_le with hc | hc
· exact hc ▸ c_mem.1
exfalso
rcases hgt c ⟨c_mem.1, c_mem.2.1, hc⟩ with ⟨x, xs, cx, xb⟩
exact not_lt_of_le (le_csSup Sbd ⟨xs, le_trans (le_csSup Sbd ha) (le_of_lt cx), xb⟩) cx
|
/-- A "continuous induction principle" for a closed interval: if a set `s` meets `[a, b]`
on a closed subset, contains `a`, and for any `a ≤ x < y ≤ b`, `x ∈ s`, the set `s ∩ (x, y]`
is not empty, then `[a, b] ⊆ s`. -/
theorem IsClosed.Icc_subset_of_forall_exists_gt {a b : α} {s : Set α} (hs : IsClosed (s ∩ Icc a b))
(ha : a ∈ s) (hgt : ∀ x ∈ s ∩ Ico a b, ∀ y ∈ Ioi x, (s ∩ Ioc x y).Nonempty) : Icc a b ⊆ s := by
intro y hy
have : IsClosed (s ∩ Icc a y) := by
suffices s ∩ Icc a y = s ∩ Icc a b ∩ Icc a y by
rw [this]
| Mathlib/Topology/Order/IntermediateValue.lean | 312 | 321 |
/-
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 }
/-- Constructor for morphisms to the point of a limit fan. -/
def Fan.IsLimit.desc {F : β → C} {c : Fan F} (hc : IsLimit c) {A : C}
(f : ∀ i, A ⟶ F i) : A ⟶ c.pt :=
hc.lift (Fan.mk A f)
@[reassoc (attr := simp)]
lemma Fan.IsLimit.fac {F : β → C} {c : Fan F} (hc : IsLimit c) {A : C}
(f : ∀ i, A ⟶ F i) (i : β) :
Fan.IsLimit.desc hc f ≫ c.proj i = f i :=
hc.fac (Fan.mk A f) ⟨i⟩
lemma Fan.IsLimit.hom_ext {I : Type*} {F : I → C} {c : Fan F} (hc : IsLimit c) {A : C}
(f g : A ⟶ c.pt) (h : ∀ i, f ≫ c.proj i = g ≫ c.proj i) : f = g :=
hc.hom_ext (fun ⟨i⟩ => h i)
/-- Make a cofan `f` into a colimit cofan by providing `desc`, `fac`, and `uniq` --
just a convenience lemma to avoid having to go through `Discrete` -/
@[simps]
def mkCofanColimit {f : β → C} (s : Cofan f) (desc : ∀ t : Cofan f, s.pt ⟶ t.pt)
(fac : ∀ (t : Cofan f) (j : β), s.inj j ≫ desc t = t.inj j := by aesop_cat)
(uniq : ∀ (t : Cofan f) (m : s.pt ⟶ t.pt) (_ : ∀ j : β, s.inj j ≫ m = t.inj j),
m = desc t := by aesop_cat) :
IsColimit s :=
{ desc }
/-- Constructor for morphisms from the point of a colimit cofan. -/
def Cofan.IsColimit.desc {F : β → C} {c : Cofan F} (hc : IsColimit c) {A : C}
(f : ∀ i, F i ⟶ A) : c.pt ⟶ A :=
hc.desc (Cofan.mk A f)
@[reassoc (attr := simp)]
lemma Cofan.IsColimit.fac {F : β → C} {c : Cofan F} (hc : IsColimit c) {A : C}
(f : ∀ i, F i ⟶ A) (i : β) :
c.inj i ≫ Cofan.IsColimit.desc hc f = f i :=
hc.fac (Cofan.mk A f) ⟨i⟩
lemma Cofan.IsColimit.hom_ext {I : Type*} {F : I → C} {c : Cofan F} (hc : IsColimit c) {A : C}
(f g : c.pt ⟶ A) (h : ∀ i, c.inj i ≫ f = c.inj i ≫ g) : f = g :=
hc.hom_ext (fun ⟨i⟩ => h i)
section
variable (C)
/-- An abbreviation for `HasLimitsOfShape (Discrete f)`. -/
abbrev HasProductsOfShape (β : Type v) :=
HasLimitsOfShape.{v} (Discrete β)
/-- An abbreviation for `HasColimitsOfShape (Discrete f)`. -/
abbrev HasCoproductsOfShape (β : Type v) :=
HasColimitsOfShape.{v} (Discrete β)
end
/-- `piObj f` computes the product of a family of elements `f`.
(It is defined as an abbreviation for `limit (Discrete.functor f)`,
so for most facts about `piObj f`, you will just use general facts about limits.) -/
abbrev piObj (f : β → C) [HasProduct f] :=
limit (Discrete.functor f)
/-- `sigmaObj f` computes the coproduct of a family of elements `f`.
(It is defined as an abbreviation for `colimit (Discrete.functor f)`,
so for most facts about `sigmaObj f`, you will just use general facts about colimits.) -/
abbrev sigmaObj (f : β → C) [HasCoproduct f] :=
colimit (Discrete.functor f)
/-- notation for categorical products. We need `ᶜ` to avoid conflict with `Finset.prod`. -/
notation "∏ᶜ " f:60 => piObj f
/-- notation for categorical coproducts -/
notation "∐ " f:60 => sigmaObj f
/-- The `b`-th projection from the pi object over `f` has the form `∏ᶜ f ⟶ f b`. -/
abbrev Pi.π (f : β → C) [HasProduct f] (b : β) : ∏ᶜ f ⟶ f b :=
limit.π (Discrete.functor f) (Discrete.mk b)
/-- The `b`-th inclusion into the sigma object over `f` has the form `f b ⟶ ∐ f`. -/
abbrev Sigma.ι (f : β → C) [HasCoproduct f] (b : β) : f b ⟶ ∐ f :=
colimit.ι (Discrete.functor f) (Discrete.mk b)
-- Porting note (https://github.com/leanprover-community/mathlib4/issues/10688): added the next two lemmas to ease automation; without these lemmas,
-- `limit.hom_ext` would be applied, but the goal would involve terms
-- in `Discrete β` rather than `β` itself
@[ext 1050]
lemma Pi.hom_ext {f : β → C} [HasProduct f] {X : C} (g₁ g₂ : X ⟶ ∏ᶜ f)
(h : ∀ (b : β), g₁ ≫ Pi.π f b = g₂ ≫ Pi.π f b) : g₁ = g₂ :=
limit.hom_ext (fun ⟨j⟩ => h j)
@[ext 1050]
lemma Sigma.hom_ext {f : β → C} [HasCoproduct f] {X : C} (g₁ g₂ : ∐ f ⟶ X)
(h : ∀ (b : β), Sigma.ι f b ≫ g₁ = Sigma.ι f b ≫ g₂) : g₁ = g₂ :=
colimit.hom_ext (fun ⟨j⟩ => h j)
/-- The fan constructed of the projections from the product is limiting. -/
def productIsProduct (f : β → C) [HasProduct f] : IsLimit (Fan.mk _ (Pi.π f)) :=
IsLimit.ofIsoLimit (limit.isLimit (Discrete.functor f)) (Cones.ext (Iso.refl _))
/-- The cofan constructed of the inclusions from the coproduct is colimiting. -/
def coproductIsCoproduct (f : β → C) [HasCoproduct f] : IsColimit (Cofan.mk _ (Sigma.ι f)) :=
IsColimit.ofIsoColimit (colimit.isColimit (Discrete.functor f)) (Cocones.ext (Iso.refl _))
-- The `simpNF` linter incorrectly identifies these as simp lemmas that could never apply.
-- It seems the side condition `w` is not applied by `simpNF`.
-- https://github.com/leanprover-community/mathlib4/issues/5049
-- They are used by `simp` in `Pi.whiskerEquiv` below.
@[reassoc (attr := simp, nolint simpNF)]
theorem Pi.π_comp_eqToHom {J : Type*} (f : J → C) [HasProduct f] {j j' : J} (w : j = j') :
Pi.π f j ≫ eqToHom (by simp [w]) = Pi.π f j' := by
cases w
simp
-- The `simpNF` linter incorrectly identifies these as simp lemmas that could never apply.
-- It seems the side condition `w` is not applied by `simpNF`.
-- https://github.com/leanprover-community/mathlib4/issues/5049
-- They are used by `simp` in `Sigma.whiskerEquiv` below.
@[reassoc (attr := simp, nolint simpNF)]
theorem Sigma.eqToHom_comp_ι {J : Type*} (f : J → C) [HasCoproduct f] {j j' : J} (w : j = j') :
eqToHom (by simp [w]) ≫ Sigma.ι f j' = Sigma.ι f j := by
cases w
simp
/-- A collection of morphisms `P ⟶ f b` induces a morphism `P ⟶ ∏ᶜ f`. -/
abbrev Pi.lift {f : β → C} [HasProduct f] {P : C} (p : ∀ b, P ⟶ f b) : P ⟶ ∏ᶜ f :=
limit.lift _ (Fan.mk P p)
theorem Pi.lift_π {β : Type w} {f : β → C} [HasProduct f] {P : C} (p : ∀ b, P ⟶ f b) (b : β) :
Pi.lift p ≫ Pi.π f b = p b := by
simp only [limit.lift_π, Fan.mk_pt, Fan.mk_π_app]
/-- A version of `Cones.ext` for `Fan`s. -/
@[simps!]
def Fan.ext {f : β → C} {c₁ c₂ : Fan f} (e : c₁.pt ≅ c₂.pt)
(w : ∀ (b : β), c₁.proj b = e.hom ≫ c₂.proj b := by aesop_cat) : c₁ ≅ c₂ :=
Cones.ext e (fun ⟨j⟩ => w j)
/-- A collection of morphisms `f b ⟶ P` induces a morphism `∐ f ⟶ P`. -/
abbrev Sigma.desc {f : β → C} [HasCoproduct f] {P : C} (p : ∀ b, f b ⟶ P) : ∐ f ⟶ P :=
colimit.desc _ (Cofan.mk P p)
theorem Sigma.ι_desc {β : Type w} {f : β → C} [HasCoproduct f] {P : C} (p : ∀ b, f b ⟶ P) (b : β) :
Sigma.ι f b ≫ Sigma.desc p = p b := by
simp only [colimit.ι_desc, Cofan.mk_pt, Cofan.mk_ι_app]
instance {f : β → C} [HasCoproduct f] : IsIso (Sigma.desc (fun a ↦ Sigma.ι f a)) := by
convert IsIso.id _
ext
simp
/-- A version of `Cocones.ext` for `Cofan`s. -/
@[simps!]
def Cofan.ext {f : β → C} {c₁ c₂ : Cofan f} (e : c₁.pt ≅ c₂.pt)
(w : ∀ (b : β), c₁.inj b ≫ e.hom = c₂.inj b := by aesop_cat) : c₁ ≅ c₂ :=
Cocones.ext e (fun ⟨j⟩ => w j)
/-- A cofan `c` on `f` such that the induced map `∐ f ⟶ c.pt` is an iso, is a coproduct. -/
def Cofan.isColimitOfIsIsoSigmaDesc {f : β → C} [HasCoproduct f] (c : Cofan f)
[hc : IsIso (Sigma.desc c.inj)] : IsColimit c :=
IsColimit.ofIsoColimit (colimit.isColimit (Discrete.functor f))
(Cofan.ext (@asIso _ _ _ _ _ hc) (fun _ => colimit.ι_desc _ _))
lemma Cofan.isColimit_iff_isIso_sigmaDesc {f : β → C} [HasCoproduct f] (c : Cofan f) :
IsIso (Sigma.desc c.inj) ↔ Nonempty (IsColimit c) := by
refine ⟨fun h ↦ ⟨isColimitOfIsIsoSigmaDesc c⟩, fun ⟨hc⟩ ↦ ?_⟩
have : IsIso (((coproductIsCoproduct f).coconePointUniqueUpToIso hc).hom ≫ hc.desc c) := by
simp; infer_instance
convert this
ext
simp only [colimit.ι_desc, mk_pt, mk_ι_app, IsColimit.coconePointUniqueUpToIso,
coproductIsCoproduct, colimit.cocone_x, Functor.mapIso_hom, IsColimit.uniqueUpToIso_hom,
Cocones.forget_map, IsColimit.descCoconeMorphism_hom, IsColimit.ofIsoColimit_desc,
Cocones.ext_inv_hom, Iso.refl_inv, colimit.isColimit_desc, Category.id_comp,
IsColimit.desc_self, Category.comp_id]
rfl
/-- A coproduct of coproducts is a coproduct -/
def Cofan.isColimitTrans {X : α → C} (c : Cofan X) (hc : IsColimit c)
{β : α → Type*} {Y : (a : α) → β a → C} (π : (a : α) → (b : β a) → Y a b ⟶ X a)
(hs : ∀ a, IsColimit (Cofan.mk (X a) (π a))) :
IsColimit (Cofan.mk (f := fun ⟨a,b⟩ => Y a b) c.pt
(fun (⟨a, b⟩ : Σ a, _) ↦ π a b ≫ c.inj a)) := by
refine mkCofanColimit _ ?_ ?_ ?_
· exact fun t ↦ hc.desc (Cofan.mk _ fun a ↦ (hs a).desc (Cofan.mk t.pt (fun b ↦ t.inj ⟨a, b⟩)))
· intro t ⟨a, b⟩
simp only [mk_pt, cofan_mk_inj, Category.assoc]
erw [hc.fac, (hs a).fac]
rfl
· intro t m h
refine hc.hom_ext fun ⟨a⟩ ↦ (hs a).hom_ext fun ⟨b⟩ ↦ ?_
erw [hc.fac, (hs a).fac]
simpa using h ⟨a, b⟩
/-- Construct a morphism between categorical products (indexed by the same type)
from a family of morphisms between the factors.
-/
abbrev Pi.map {f g : β → C} [HasProduct f] [HasProduct g] (p : ∀ b, f b ⟶ g b) : ∏ᶜ f ⟶ ∏ᶜ g :=
limMap (Discrete.natTrans fun X => p X.as)
@[simp]
lemma Pi.map_id {f : α → C} [HasProduct f] : Pi.map (fun a => 𝟙 (f a)) = 𝟙 (∏ᶜ f) := by
ext; simp
lemma Pi.map_comp_map {f g h : α → C} [HasProduct f] [HasProduct g] [HasProduct h]
(q : ∀ (a : α), f a ⟶ g a) (q' : ∀ (a : α), g a ⟶ h a) :
Pi.map q ≫ Pi.map q' = Pi.map (fun a => q a ≫ q' a) := by
ext; simp
instance Pi.map_mono {f g : β → C} [HasProduct f] [HasProduct g] (p : ∀ b, f b ⟶ g b)
[∀ i, Mono (p i)] : Mono <| Pi.map p :=
@Limits.limMap_mono _ _ _ _ (Discrete.functor f) (Discrete.functor g) _ _
(Discrete.natTrans fun X => p X.as) (by dsimp; infer_instance)
/-- Construct a morphism between categorical products from a family of morphisms between the
factors. -/
def Pi.map' {f : α → C} {g : β → C} [HasProduct f] [HasProduct g] (p : β → α)
(q : ∀ (b : β), f (p b) ⟶ g b) : ∏ᶜ f ⟶ ∏ᶜ g :=
Pi.lift (fun a => Pi.π _ _ ≫ q a)
@[reassoc (attr := simp)]
lemma Pi.map'_comp_π {f : α → C} {g : β → C} [HasProduct f] [HasProduct g] (p : β → α)
(q : ∀ (b : β), f (p b) ⟶ g b) (b : β) : Pi.map' p q ≫ Pi.π g b = Pi.π f (p b) ≫ q b :=
limit.lift_π _ _
lemma Pi.map'_id_id {f : α → C} [HasProduct f] : Pi.map' id (fun a => 𝟙 (f a)) = 𝟙 (∏ᶜ f) := by
ext; simp
@[simp]
lemma Pi.map'_id {f g : α → C} [HasProduct f] [HasProduct g] (p : ∀ b, f b ⟶ g b) :
Pi.map' id p = Pi.map p :=
rfl
lemma Pi.map'_comp_map' {f : α → C} {g : β → C} {h : γ → C} [HasProduct f] [HasProduct g]
[HasProduct h] (p : β → α) (p' : γ → β) (q : ∀ (b : β), f (p b) ⟶ g b)
(q' : ∀ (c : γ), g (p' c) ⟶ h c) :
Pi.map' p q ≫ Pi.map' p' q' = Pi.map' (p ∘ p') (fun c => q (p' c) ≫ q' c) := by
ext; simp
lemma Pi.map'_comp_map {f : α → C} {g h : β → C} [HasProduct f] [HasProduct g] [HasProduct h]
(p : β → α) (q : ∀ (b : β), f (p b) ⟶ g b) (q' : ∀ (b : β), g b ⟶ h b) :
Pi.map' p q ≫ Pi.map q' = Pi.map' p (fun b => q b ≫ q' b) := by
ext; simp
lemma Pi.map_comp_map' {f g : α → C} {h : β → C} [HasProduct f] [HasProduct g] [HasProduct h]
(p : β → α) (q : ∀ (a : α), f a ⟶ g a) (q' : ∀ (b : β), g (p b) ⟶ h b) :
Pi.map q ≫ Pi.map' p q' = Pi.map' p (fun b => q (p b) ≫ q' b) := by
ext; simp
lemma Pi.map'_eq {f : α → C} {g : β → C} [HasProduct f] [HasProduct g] {p p' : β → α}
{q : ∀ (b : β), f (p b) ⟶ g b} {q' : ∀ (b : β), f (p' b) ⟶ g b} (hp : p = p')
(hq : ∀ (b : β), eqToHom (hp ▸ rfl) ≫ q b = q' b) : Pi.map' p q = Pi.map' p' q' := by
aesop_cat
/-- Construct an isomorphism between categorical products (indexed by the same type)
from a family of isomorphisms between the factors.
-/
abbrev Pi.mapIso {f g : β → C} [HasProductsOfShape β C] (p : ∀ b, f b ≅ g b) : ∏ᶜ f ≅ ∏ᶜ g :=
lim.mapIso (Discrete.natIso fun X => p X.as)
instance Pi.map_isIso {f g : β → C} [HasProductsOfShape β C] (p : ∀ b, f b ⟶ g b)
[∀ b, IsIso <| p b] : IsIso <| Pi.map p :=
inferInstanceAs (IsIso (Pi.mapIso (fun b ↦ asIso (p b))).hom)
section
/- In this section, we provide some API for products when we are given a functor
`Discrete α ⥤ C` instead of a map `α → C`. -/
variable (X : Discrete α ⥤ C) [HasProduct (fun j => X.obj (Discrete.mk j))]
/-- A limit cone for `X : Discrete α ⥤ C` that is given
by `∏ᶜ (fun j => X.obj (Discrete.mk j))`. -/
@[simps]
def Pi.cone : Cone X where
pt := ∏ᶜ (fun j => X.obj (Discrete.mk j))
π := Discrete.natTrans (fun _ => Pi.π _ _)
/-- The cone `Pi.cone X` is a limit cone. -/
def productIsProduct' :
IsLimit (Pi.cone X) where
lift s := Pi.lift (fun j => s.π.app ⟨j⟩)
fac s := by simp
uniq s m hm := by
dsimp
ext
simp only [limit.lift_π, Fan.mk_pt, Fan.mk_π_app]
apply hm
variable [HasLimit X]
/-- The isomorphism `∏ᶜ (fun j => X.obj (Discrete.mk j)) ≅ limit X`. -/
def Pi.isoLimit :
∏ᶜ (fun j => X.obj (Discrete.mk j)) ≅ limit X :=
IsLimit.conePointUniqueUpToIso (productIsProduct' X) (limit.isLimit X)
@[reassoc (attr := simp)]
lemma Pi.isoLimit_inv_π (j : α) :
(Pi.isoLimit X).inv ≫ Pi.π _ j = limit.π _ (Discrete.mk j) :=
IsLimit.conePointUniqueUpToIso_inv_comp _ _ _
@[reassoc (attr := simp)]
lemma Pi.isoLimit_hom_π (j : α) :
(Pi.isoLimit X).hom ≫ limit.π _ (Discrete.mk j) = Pi.π _ j :=
IsLimit.conePointUniqueUpToIso_hom_comp _ _ _
end
/-- Construct a morphism between categorical coproducts (indexed by the same type)
from a family of morphisms between the factors.
-/
abbrev Sigma.map {f g : β → C} [HasCoproduct f] [HasCoproduct g] (p : ∀ b, f b ⟶ g b) :
∐ f ⟶ ∐ g :=
colimMap (Discrete.natTrans fun X => p X.as)
@[simp]
lemma Sigma.map_id {f : α → C} [HasCoproduct f] : Sigma.map (fun a => 𝟙 (f a)) = 𝟙 (∐ f) := by
ext; simp
lemma Sigma.map_comp_map {f g h : α → C} [HasCoproduct f] [HasCoproduct g] [HasCoproduct h]
(q : ∀ (a : α), f a ⟶ g a) (q' : ∀ (a : α), g a ⟶ h a) :
Sigma.map q ≫ Sigma.map q' = Sigma.map (fun a => q a ≫ q' a) := by
ext; simp
instance Sigma.map_epi {f g : β → C} [HasCoproduct f] [HasCoproduct g] (p : ∀ b, f b ⟶ g b)
[∀ i, Epi (p i)] : Epi <| Sigma.map p :=
@Limits.colimMap_epi _ _ _ _ (Discrete.functor f) (Discrete.functor g) _ _
(Discrete.natTrans fun X => p X.as) (by dsimp; infer_instance)
/-- Construct a morphism between categorical coproducts from a family of morphisms between the
factors. -/
def Sigma.map' {f : α → C} {g : β → C} [HasCoproduct f] [HasCoproduct g] (p : α → β)
(q : ∀ (a : α), f a ⟶ g (p a)) : ∐ f ⟶ ∐ g :=
Sigma.desc (fun a => q a ≫ Sigma.ι _ _)
@[reassoc (attr := simp)]
lemma Sigma.ι_comp_map' {f : α → C} {g : β → C} [HasCoproduct f] [HasCoproduct g]
(p : α → β) (q : ∀ (a : α), f a ⟶ g (p a)) (a : α) :
Sigma.ι f a ≫ Sigma.map' p q = q a ≫ Sigma.ι g (p a) :=
colimit.ι_desc _ _
lemma Sigma.map'_id_id {f : α → C} [HasCoproduct f] :
Sigma.map' id (fun a => 𝟙 (f a)) = 𝟙 (∐ f) := by
ext; simp
@[simp]
lemma Sigma.map'_id {f g : α → C} [HasCoproduct f] [HasCoproduct g] (p : ∀ b, f b ⟶ g b) :
Sigma.map' id p = Sigma.map p :=
rfl
lemma Sigma.map'_comp_map' {f : α → C} {g : β → C} {h : γ → C} [HasCoproduct f] [HasCoproduct g]
[HasCoproduct h] (p : α → β) (p' : β → γ) (q : ∀ (a : α), f a ⟶ g (p a))
(q' : ∀ (b : β), g b ⟶ h (p' b)) :
Sigma.map' p q ≫ Sigma.map' p' q' = Sigma.map' (p' ∘ p) (fun a => q a ≫ q' (p a)) := by
ext; simp
lemma Sigma.map'_comp_map {f : α → C} {g h : β → C} [HasCoproduct f] [HasCoproduct g]
[HasCoproduct h] (p : α → β) (q : ∀ (a : α), f a ⟶ g (p a)) (q' : ∀ (b : β), g b ⟶ h b) :
Sigma.map' p q ≫ Sigma.map q' = Sigma.map' p (fun a => q a ≫ q' (p a)) := by
ext; simp
lemma Sigma.map_comp_map' {f g : α → C} {h : β → C} [HasCoproduct f] [HasCoproduct g]
[HasCoproduct h] (p : α → β) (q : ∀ (a : α), f a ⟶ g a) (q' : ∀ (a : α), g a ⟶ h (p a)) :
Sigma.map q ≫ Sigma.map' p q' = Sigma.map' p (fun a => q a ≫ q' a) := by
ext; simp
lemma Sigma.map'_eq {f : α → C} {g : β → C} [HasCoproduct f] [HasCoproduct g]
{p p' : α → β} {q : ∀ (a : α), f a ⟶ g (p a)} {q' : ∀ (a : α), f a ⟶ g (p' a)}
(hp : p = p') (hq : ∀ (a : α), q a ≫ eqToHom (hp ▸ rfl) = q' a) :
Sigma.map' p q = Sigma.map' p' q' := by
aesop_cat
/-- Construct an isomorphism between categorical coproducts (indexed by the same type)
from a family of isomorphisms between the factors.
-/
abbrev Sigma.mapIso {f g : β → C} [HasCoproductsOfShape β C] (p : ∀ b, f b ≅ g b) : ∐ f ≅ ∐ g :=
| colim.mapIso (Discrete.natIso fun X => p X.as)
instance Sigma.map_isIso {f g : β → C} [HasCoproductsOfShape β C] (p : ∀ b, f b ⟶ g b)
[∀ b, IsIso <| p b] : IsIso (Sigma.map p) :=
| Mathlib/CategoryTheory/Limits/Shapes/Products.lean | 493 | 496 |
/-
Copyright (c) 2019 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Algebra.CharP.Defs
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Equiv
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.RingTheory.Noetherian.Basic
/-!
# Ring-theoretic supplement of Algebra.Polynomial.
## Main results
* `MvPolynomial.isDomain`:
If a ring is an integral domain, then so is its polynomial ring over finitely many variables.
* `Polynomial.isNoetherianRing`:
Hilbert basis theorem, that if a ring is noetherian then so is its polynomial ring.
-/
noncomputable section
open Polynomial
open Finset
universe u v w
variable {R : Type u} {S : Type*}
namespace Polynomial
section Semiring
variable [Semiring R]
instance instCharP (p : ℕ) [h : CharP R p] : CharP R[X] p :=
let ⟨h⟩ := h
⟨fun n => by rw [← map_natCast C, ← C_0, C_inj, h]⟩
instance instExpChar (p : ℕ) [h : ExpChar R p] : ExpChar R[X] p := by
cases h; exacts [ExpChar.zero, ExpChar.prime ‹_›]
variable (R)
/-- The `R`-submodule of `R[X]` consisting of polynomials of degree ≤ `n`. -/
def degreeLE (n : WithBot ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ _ : ↑k > n, LinearMap.ker (lcoeff R k)
/-- The `R`-submodule of `R[X]` consisting of polynomials of degree < `n`. -/
def degreeLT (n : ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ (_ : k ≥ n), LinearMap.ker (lcoeff R k)
variable {R}
theorem mem_degreeLE {n : WithBot ℕ} {f : R[X]} : f ∈ degreeLE R n ↔ degree f ≤ n := by
simp only [degreeLE, Submodule.mem_iInf, degree_le_iff_coeff_zero, LinearMap.mem_ker]; rfl
@[mono]
theorem degreeLE_mono {m n : WithBot ℕ} (H : m ≤ n) : degreeLE R m ≤ degreeLE R n := fun _ hf =>
mem_degreeLE.2 (le_trans (mem_degreeLE.1 hf) H)
theorem degreeLE_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLE R n = Submodule.span R ↑((Finset.range (n + 1)).image fun n => (X : R[X]) ^ n) := by
apply le_antisymm
· intro p hp
replace hp := mem_degreeLE.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_le_coe.1 (Finset.sup_le_iff.1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <|
Finset.mem_image.2 ⟨_, Finset.mem_range.2 (Nat.lt_succ_of_le this), rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLE.2
exact
(degree_X_pow_le _).trans (WithBot.coe_le_coe.2 <| Nat.le_of_lt_succ <| Finset.mem_range.1 hk)
theorem mem_degreeLT {n : ℕ} {f : R[X]} : f ∈ degreeLT R n ↔ degree f < n := by
rw [degreeLT, Submodule.mem_iInf]
conv_lhs => intro i; rw [Submodule.mem_iInf]
rw [degree, Finset.max_eq_sup_coe]
rw [Finset.sup_lt_iff ?_]
rotate_left
· apply WithBot.bot_lt_coe
conv_rhs =>
simp only [mem_support_iff]
intro b
rw [Nat.cast_withBot, WithBot.coe_lt_coe, lt_iff_not_le, Ne, not_imp_not]
rfl
@[mono]
theorem degreeLT_mono {m n : ℕ} (H : m ≤ n) : degreeLT R m ≤ degreeLT R n := fun _ hf =>
mem_degreeLT.2 (lt_of_lt_of_le (mem_degreeLT.1 hf) <| WithBot.coe_le_coe.2 H)
theorem degreeLT_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLT R n = Submodule.span R ↑((Finset.range n).image fun n => X ^ n : Finset R[X]) := by
apply le_antisymm
· intro p hp
replace hp := mem_degreeLT.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_lt_coe.1 ((Finset.sup_lt_iff <| WithBot.bot_lt_coe n).1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <| Finset.mem_image.2 ⟨_, Finset.mem_range.2 this, rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLT.2
exact lt_of_le_of_lt (degree_X_pow_le _) (WithBot.coe_lt_coe.2 <| Finset.mem_range.1 hk)
/-- The first `n` coefficients on `degreeLT n` form a linear equivalence with `Fin n → R`. -/
def degreeLTEquiv (R) [Semiring R] (n : ℕ) : degreeLT R n ≃ₗ[R] Fin n → R where
toFun p n := (↑p : R[X]).coeff n
invFun f :=
⟨∑ i : Fin n, monomial i (f i),
(degreeLT R n).sum_mem fun i _ =>
mem_degreeLT.mpr
(lt_of_le_of_lt (degree_monomial_le i (f i)) (WithBot.coe_lt_coe.mpr i.is_lt))⟩
map_add' p q := by
ext
dsimp
rw [coeff_add]
map_smul' x p := by
ext
dsimp
rw [coeff_smul]
rfl
left_inv := by
rintro ⟨p, hp⟩
ext1
simp only [Submodule.coe_mk]
by_cases hp0 : p = 0
· subst hp0
simp only [coeff_zero, LinearMap.map_zero, Finset.sum_const_zero]
rw [mem_degreeLT, degree_eq_natDegree hp0, Nat.cast_lt] at hp
conv_rhs => rw [p.as_sum_range' n hp, ← Fin.sum_univ_eq_sum_range]
right_inv f := by
ext i
simp only [finset_sum_coeff, Submodule.coe_mk]
rw [Finset.sum_eq_single i, coeff_monomial, if_pos rfl]
· rintro j - hji
rw [coeff_monomial, if_neg]
rwa [← Fin.ext_iff]
· intro h
exact (h (Finset.mem_univ _)).elim
theorem degreeLTEquiv_eq_zero_iff_eq_zero {n : ℕ} {p : R[X]} (hp : p ∈ degreeLT R n) :
degreeLTEquiv _ _ ⟨p, hp⟩ = 0 ↔ p = 0 := by simp
theorem eval_eq_sum_degreeLTEquiv {n : ℕ} {p : R[X]} (hp : p ∈ degreeLT R n) (x : R) :
p.eval x = ∑ i, degreeLTEquiv _ _ ⟨p, hp⟩ i * x ^ (i : ℕ) := by
simp_rw [eval_eq_sum]
exact (sum_fin _ (by simp_rw [zero_mul, forall_const]) (mem_degreeLT.mp hp)).symm
theorem degreeLT_succ_eq_degreeLE {n : ℕ} : degreeLT R (n + 1) = degreeLE R n := by
ext x
by_cases x_zero : x = 0
· simp_rw [x_zero, Submodule.zero_mem]
· rw [mem_degreeLT, mem_degreeLE, ← natDegree_lt_iff_degree_lt (by rwa [ne_eq]),
← natDegree_le_iff_degree_le, Nat.lt_succ]
/-- The equivalence between monic polynomials of degree `n` and polynomials of degree less than
`n`, formed by adding a term `X ^ n`. -/
def monicEquivDegreeLT [Nontrivial R] (n : ℕ) :
{ p : R[X] // p.Monic ∧ p.natDegree = n } ≃ degreeLT R n where
toFun p := ⟨p.1.eraseLead, by
rcases p with ⟨p, hp, rfl⟩
simp only [mem_degreeLT]
refine lt_of_lt_of_le ?_ degree_le_natDegree
exact degree_eraseLead_lt (ne_zero_of_ne_zero_of_monic one_ne_zero hp)⟩
invFun := fun p =>
⟨X^n + p.1, monic_X_pow_add (mem_degreeLT.1 p.2), by
rw [natDegree_add_eq_left_of_degree_lt]
· simp
· simp [mem_degreeLT.1 p.2]⟩
left_inv := by
rintro ⟨p, hp, rfl⟩
ext1
simp only
conv_rhs => rw [← eraseLead_add_C_mul_X_pow p]
simp [Monic.def.1 hp, add_comm]
right_inv := by
rintro ⟨p, hp⟩
ext1
simp only
rw [eraseLead_add_of_degree_lt_left]
· simp
· simp [mem_degreeLT.1 hp]
/-- For every polynomial `p` in the span of a set `s : Set R[X]`, there exists a polynomial of
`p' ∈ s` with higher degree. See also `Polynomial.exists_degree_le_of_mem_span_of_finite`. -/
theorem exists_degree_le_of_mem_span {s : Set R[X]} {p : R[X]}
(hs : s.Nonempty) (hp : p ∈ Submodule.span R s) :
∃ p' ∈ s, degree p ≤ degree p' := by
by_contra! h
by_cases hp_zero : p = 0
· rw [hp_zero, degree_zero] at h
rcases hs with ⟨x, hx⟩
exact not_lt_bot (h x hx)
· have : p ∈ degreeLT R (natDegree p) := by
refine (Submodule.span_le.mpr fun p' p'_mem => ?_) hp
rw [SetLike.mem_coe, mem_degreeLT, Nat.cast_withBot]
exact lt_of_lt_of_le (h p' p'_mem) degree_le_natDegree
rwa [mem_degreeLT, Nat.cast_withBot, degree_eq_natDegree hp_zero,
Nat.cast_withBot, lt_self_iff_false] at this
/-- A stronger version of `Polynomial.exists_degree_le_of_mem_span` under the assumption that the
set `s : R[X]` is finite. There exists a polynomial `p' ∈ s` whose degree dominates the degree of
every element of `p ∈ span R s`. -/
theorem exists_degree_le_of_mem_span_of_finite {s : Set R[X]} (s_fin : s.Finite) (hs : s.Nonempty) :
∃ p' ∈ s, ∀ (p : R[X]), p ∈ Submodule.span R s → degree p ≤ degree p' := by
rcases Set.Finite.exists_maximal_wrt degree s s_fin hs with ⟨a, has, hmax⟩
refine ⟨a, has, fun p hp => ?_⟩
rcases exists_degree_le_of_mem_span hs hp with ⟨p', hp'⟩
by_cases h : degree a ≤ degree p'
· rw [← hmax p' hp'.left h] at hp'; exact hp'.right
· exact le_trans hp'.right (not_le.mp h).le
/-- The span of every finite set of polynomials is contained in a `degreeLE n` for some `n`. -/
theorem span_le_degreeLE_of_finite {s : Set R[X]} (s_fin : s.Finite) :
∃ n : ℕ, Submodule.span R s ≤ degreeLE R n := by
by_cases s_emp : s.Nonempty
· rcases exists_degree_le_of_mem_span_of_finite s_fin s_emp with ⟨p', _, hp'max⟩
exact ⟨natDegree p', fun p hp => mem_degreeLE.mpr ((hp'max _ hp).trans degree_le_natDegree)⟩
· rw [Set.not_nonempty_iff_eq_empty] at s_emp
rw [s_emp, Submodule.span_empty]
exact ⟨0, bot_le⟩
/-- The span of every finite set of polynomials is contained in a `degreeLT n` for some `n`. -/
theorem span_of_finite_le_degreeLT {s : Set R[X]} (s_fin : s.Finite) :
∃ n : ℕ, Submodule.span R s ≤ degreeLT R n := by
rcases span_le_degreeLE_of_finite s_fin with ⟨n, _⟩
exact ⟨n + 1, by rwa [degreeLT_succ_eq_degreeLE]⟩
/-- If `R` is a nontrivial ring, the polynomials `R[X]` are not finite as an `R`-module. When `R` is
a field, this is equivalent to `R[X]` being an infinite-dimensional vector space over `R`. -/
theorem not_finite [Nontrivial R] : ¬ Module.Finite R R[X] := by
rw [Module.finite_def, Submodule.fg_def]
push_neg
intro s hs contra
rcases span_le_degreeLE_of_finite hs with ⟨n,hn⟩
have : ((X : R[X]) ^ (n + 1)) ∈ Polynomial.degreeLE R ↑n := by
rw [contra] at hn
exact hn Submodule.mem_top
rw [mem_degreeLE, degree_X_pow, Nat.cast_le, add_le_iff_nonpos_right, nonpos_iff_eq_zero] at this
exact one_ne_zero this
theorem geom_sum_X_comp_X_add_one_eq_sum (n : ℕ) :
(∑ i ∈ range n, (X : R[X]) ^ i).comp (X + 1) =
(Finset.range n).sum fun i : ℕ => (n.choose (i + 1) : R[X]) * X ^ i := by
ext i
trans (n.choose (i + 1) : R); swap
· simp only [finset_sum_coeff, ← C_eq_natCast, coeff_C_mul_X_pow]
rw [Finset.sum_eq_single i, if_pos rfl]
· simp +contextual only [@eq_comm _ i, if_false, eq_self_iff_true,
imp_true_iff]
· simp +contextual only [Nat.lt_add_one_iff, Nat.choose_eq_zero_of_lt,
Nat.cast_zero, Finset.mem_range, not_lt, eq_self_iff_true, if_true, imp_true_iff]
induction' n with n ih generalizing i
· dsimp; simp only [zero_comp, coeff_zero, Nat.cast_zero]
· simp only [geom_sum_succ', ih, add_comp, X_pow_comp, coeff_add, Nat.choose_succ_succ,
Nat.cast_add, coeff_X_add_one_pow]
theorem Monic.geom_sum {P : R[X]} (hP : P.Monic) (hdeg : 0 < P.natDegree) {n : ℕ} (hn : n ≠ 0) :
(∑ i ∈ range n, P ^ i).Monic := by
nontriviality R
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero hn
rw [geom_sum_succ']
refine (hP.pow _).add_of_left ?_
refine lt_of_le_of_lt (degree_sum_le _ _) ?_
rw [Finset.sup_lt_iff]
· simp only [Finset.mem_range, degree_eq_natDegree (hP.pow _).ne_zero]
simp only [Nat.cast_lt, hP.natDegree_pow]
intro k
exact nsmul_lt_nsmul_left hdeg
· rw [bot_lt_iff_ne_bot, Ne, degree_eq_bot]
exact (hP.pow _).ne_zero
theorem Monic.geom_sum' {P : R[X]} (hP : P.Monic) (hdeg : 0 < P.degree) {n : ℕ} (hn : n ≠ 0) :
(∑ i ∈ range n, P ^ i).Monic :=
hP.geom_sum (natDegree_pos_iff_degree_pos.2 hdeg) hn
theorem monic_geom_sum_X {n : ℕ} (hn : n ≠ 0) : (∑ i ∈ range n, (X : R[X]) ^ i).Monic := by
nontriviality R
apply monic_X.geom_sum _ hn
simp only [natDegree_X, zero_lt_one]
end Semiring
section Ring
variable [Ring R]
/-- Given a polynomial, return the polynomial whose coefficients are in
the ring closure of the original coefficients. -/
def restriction (p : R[X]) : Polynomial (Subring.closure (↑p.coeffs : Set R)) :=
∑ i ∈ p.support,
monomial i
(⟨p.coeff i,
letI := Classical.decEq R
if H : p.coeff i = 0 then H.symm ▸ (Subring.closure _).zero_mem
else Subring.subset_closure (p.coeff_mem_coeffs _ H)⟩ :
Subring.closure (↑p.coeffs : Set R))
@[simp]
theorem coeff_restriction {p : R[X]} {n : ℕ} : ↑(coeff (restriction p) n) = coeff p n := by
classical
simp only [restriction, coeff_monomial, finset_sum_coeff, mem_support_iff, Finset.sum_ite_eq',
Ne, ite_not]
split_ifs with h
· rw [h]
rfl
· rfl
theorem coeff_restriction' {p : R[X]} {n : ℕ} : (coeff (restriction p) n).1 = coeff p n := by
simp
@[simp]
theorem support_restriction (p : R[X]) : support (restriction p) = support p := by
ext i
simp only [mem_support_iff, not_iff_not, Ne]
conv_rhs => rw [← coeff_restriction]
exact ⟨fun H => by rw [H, ZeroMemClass.coe_zero], fun H => Subtype.coe_injective H⟩
@[simp]
theorem map_restriction {R : Type u} [CommRing R] (p : R[X]) :
p.restriction.map (algebraMap _ _) = p :=
ext fun n => by rw [coeff_map, Algebra.algebraMap_ofSubring_apply, coeff_restriction]
@[simp]
theorem degree_restriction {p : R[X]} : (restriction p).degree = p.degree := by simp [degree]
@[simp]
theorem natDegree_restriction {p : R[X]} : (restriction p).natDegree = p.natDegree := by
simp [natDegree]
@[simp]
theorem monic_restriction {p : R[X]} : Monic (restriction p) ↔ Monic p := by
simp only [Monic, leadingCoeff, natDegree_restriction]
rw [← @coeff_restriction _ _ p]
exact ⟨fun H => by rw [H, OneMemClass.coe_one], fun H => Subtype.coe_injective H⟩
@[simp]
theorem restriction_zero : restriction (0 : R[X]) = 0 := by
simp only [restriction, Finset.sum_empty, support_zero]
@[simp]
theorem restriction_one : restriction (1 : R[X]) = 1 :=
ext fun i => Subtype.eq <| by rw [coeff_restriction', coeff_one, coeff_one]; split_ifs <;> rfl
variable [Semiring S] {f : R →+* S} {x : S}
theorem eval₂_restriction {p : R[X]} :
eval₂ f x p =
eval₂ (f.comp (Subring.subtype (Subring.closure (p.coeffs : Set R)))) x p.restriction := by
simp only [eval₂_eq_sum, sum, support_restriction, ← @coeff_restriction _ _ p, RingHom.comp_apply,
Subring.coe_subtype]
section ToSubring
variable (p : R[X]) (T : Subring R)
/-- Given a polynomial `p` and a subring `T` that contains the coefficients of `p`,
return the corresponding polynomial whose coefficients are in `T`. -/
def toSubring (hp : (↑p.coeffs : Set R) ⊆ T) : T[X] :=
∑ i ∈ p.support,
monomial i
(⟨p.coeff i,
letI := Classical.decEq R
if H : p.coeff i = 0 then H.symm ▸ T.zero_mem else hp (p.coeff_mem_coeffs _ H)⟩ : T)
variable (hp : (↑p.coeffs : Set R) ⊆ T)
@[simp]
theorem coeff_toSubring {n : ℕ} : ↑(coeff (toSubring p T hp) n) = coeff p n := by
classical
simp only [toSubring, coeff_monomial, finset_sum_coeff, mem_support_iff, Finset.sum_ite_eq',
Ne, ite_not]
split_ifs with h
· rw [h]
rfl
| · rfl
theorem coeff_toSubring' {n : ℕ} : (coeff (toSubring p T hp) n).1 = coeff p n := by
simp
| Mathlib/RingTheory/Polynomial/Basic.lean | 391 | 394 |
/-
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.Analytic.CPolynomial
import Mathlib.Analysis.Analytic.Inverse
import Mathlib.Analysis.Analytic.Within
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.ContDiff.FTaylorSeries
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Prod
import Mathlib.Analysis.Normed.Module.Completion
/-!
# Frechet derivatives of analytic functions.
A function expressible as a power series at a point has a Frechet derivative there.
Also the special case in terms of `deriv` when the domain is 1-dimensional.
As an application, we show that continuous multilinear maps are smooth. We also compute their
iterated derivatives, in `ContinuousMultilinearMap.iteratedFDeriv_eq`.
## Main definitions and results
* `AnalyticAt.differentiableAt` : an analytic function at a point is differentiable there.
* `AnalyticOnNhd.fderiv` : in a complete space, if a function is analytic on a
neighborhood of a set `s`, so is its derivative.
* `AnalyticOnNhd.fderiv_of_isOpen` : if a function is analytic on a neighborhood of an
open set `s`, so is its derivative.
* `AnalyticOn.fderivWithin` : if a function is analytic on a set of unique differentiability,
so is its derivative within this set.
* `PartialHomeomorph.analyticAt_symm` : if a partial homeomorphism `f` is analytic at a
point `f.symm a`, with invertible derivative, then its inverse is analytic at `a`.
## Comments on completeness
Some theorems need a complete space, some don't, for the following reason.
(1) If a function is analytic at a point `x`, then it is differentiable there (with derivative given
by the first term in the power series). There is no issue of convergence here.
(2) If a function has a power series on a ball `B (x, r)`, there is no guarantee that the power
series for the derivative will converge at `y ≠ x`, if the space is not complete. So, to deduce
that `f` is differentiable at `y`, one needs completeness in general.
(3) However, if a function `f` has a power series on a ball `B (x, r)`, and is a priori known to be
differentiable at some point `y ≠ x`, then the power series for the derivative of `f` will
automatically converge at `y`, towards the given derivative: this follows from the facts that this
is true in the completion (thanks to the previous point) and that the map to the completion is
an embedding.
(4) Therefore, if one assumes `AnalyticOn 𝕜 f s` where `s` is an open set, then `f` is analytic
therefore differentiable at every point of `s`, by (1), so by (3) the power series for its
derivative converges on whole balls. Therefore, the derivative of `f` is also analytic on `s`. The
same holds if `s` is merely a set with unique differentials.
(5) However, this does not work for `AnalyticOnNhd 𝕜 f s`, as we don't get for free
differentiability at points in a neighborhood of `s`. Therefore, the theorem that deduces
`AnalyticOnNhd 𝕜 (fderiv 𝕜 f) s` from `AnalyticOnNhd 𝕜 f s` requires completeness of the space.
-/
open Filter Asymptotics Set
open scoped ENNReal Topology
universe u v
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type u} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
section fderiv
variable {p : FormalMultilinearSeries 𝕜 E F} {r : ℝ≥0∞}
variable {f : E → F} {x : E} {s : Set E}
/-- A function which is analytic within a set is strictly differentiable there. Since we
don't have a predicate `HasStrictFDerivWithinAt`, we spell out what it would mean. -/
theorem HasFPowerSeriesWithinAt.hasStrictFDerivWithinAt (h : HasFPowerSeriesWithinAt f p s x) :
(fun y ↦ f y.1 - f y.2 - (continuousMultilinearCurryFin1 𝕜 E F (p 1)) (y.1 - y.2))
=o[𝓝[insert x s ×ˢ insert x s] (x, x)] fun y ↦ y.1 - y.2 := by
refine h.isBigO_image_sub_norm_mul_norm_sub.trans_isLittleO (IsLittleO.of_norm_right ?_)
refine isLittleO_iff_exists_eq_mul.2 ⟨fun y => ‖y - (x, x)‖, ?_, EventuallyEq.rfl⟩
apply Tendsto.mono_left _ nhdsWithin_le_nhds
refine (continuous_id.sub continuous_const).norm.tendsto' _ _ ?_
rw [_root_.id, sub_self, norm_zero]
theorem HasFPowerSeriesAt.hasStrictFDerivAt (h : HasFPowerSeriesAt f p x) :
HasStrictFDerivAt f (continuousMultilinearCurryFin1 𝕜 E F (p 1)) x := by
simpa only [hasStrictFDerivAt_iff_isLittleO, Set.insert_eq_of_mem, Set.mem_univ,
Set.univ_prod_univ, nhdsWithin_univ]
using (h.hasFPowerSeriesWithinAt (s := Set.univ)).hasStrictFDerivWithinAt
theorem HasFPowerSeriesWithinAt.hasFDerivWithinAt (h : HasFPowerSeriesWithinAt f p s x) :
HasFDerivWithinAt f (continuousMultilinearCurryFin1 𝕜 E F (p 1)) (insert x s) x := by
rw [HasFDerivWithinAt, hasFDerivAtFilter_iff_isLittleO, isLittleO_iff]
intro c hc
have : Tendsto (fun y ↦ (y, x)) (𝓝[insert x s] x) (𝓝[insert x s ×ˢ insert x s] (x, x)) := by
rw [nhdsWithin_prod_eq]
exact Tendsto.prodMk tendsto_id (tendsto_const_nhdsWithin (by simp))
exact this (isLittleO_iff.1 h.hasStrictFDerivWithinAt hc)
theorem HasFPowerSeriesAt.hasFDerivAt (h : HasFPowerSeriesAt f p x) :
HasFDerivAt f (continuousMultilinearCurryFin1 𝕜 E F (p 1)) x :=
h.hasStrictFDerivAt.hasFDerivAt
theorem HasFPowerSeriesWithinAt.differentiableWithinAt (h : HasFPowerSeriesWithinAt f p s x) :
DifferentiableWithinAt 𝕜 f (insert x s) x :=
h.hasFDerivWithinAt.differentiableWithinAt
theorem HasFPowerSeriesAt.differentiableAt (h : HasFPowerSeriesAt f p x) : DifferentiableAt 𝕜 f x :=
h.hasFDerivAt.differentiableAt
theorem AnalyticWithinAt.differentiableWithinAt (h : AnalyticWithinAt 𝕜 f s x) :
DifferentiableWithinAt 𝕜 f (insert x s) x := by
obtain ⟨p, hp⟩ := h
exact hp.differentiableWithinAt
@[fun_prop]
theorem AnalyticAt.differentiableAt : AnalyticAt 𝕜 f x → DifferentiableAt 𝕜 f x
| ⟨_, hp⟩ => hp.differentiableAt
theorem AnalyticAt.differentiableWithinAt (h : AnalyticAt 𝕜 f x) : DifferentiableWithinAt 𝕜 f s x :=
h.differentiableAt.differentiableWithinAt
theorem HasFPowerSeriesWithinAt.fderivWithin_eq
(h : HasFPowerSeriesWithinAt f p s x) (hu : UniqueDiffWithinAt 𝕜 (insert x s) x) :
fderivWithin 𝕜 f (insert x s) x = continuousMultilinearCurryFin1 𝕜 E F (p 1) :=
h.hasFDerivWithinAt.fderivWithin hu
theorem HasFPowerSeriesAt.fderiv_eq (h : HasFPowerSeriesAt f p x) :
fderiv 𝕜 f x = continuousMultilinearCurryFin1 𝕜 E F (p 1) :=
h.hasFDerivAt.fderiv
theorem AnalyticAt.hasStrictFDerivAt (h : AnalyticAt 𝕜 f x) :
HasStrictFDerivAt f (fderiv 𝕜 f x) x := by
rcases h with ⟨p, hp⟩
rw [hp.fderiv_eq]
exact hp.hasStrictFDerivAt
theorem HasFPowerSeriesWithinOnBall.differentiableOn [CompleteSpace F]
(h : HasFPowerSeriesWithinOnBall f p s x r) :
DifferentiableOn 𝕜 f (insert x s ∩ EMetric.ball x r) := by
intro y hy
have Z := (h.analyticWithinAt_of_mem hy).differentiableWithinAt
rcases eq_or_ne y x with rfl | hy
· exact Z.mono inter_subset_left
· apply (Z.mono (subset_insert _ _)).mono_of_mem_nhdsWithin
suffices s ∈ 𝓝[insert x s] y from nhdsWithin_mono _ inter_subset_left this
rw [nhdsWithin_insert_of_ne hy]
exact self_mem_nhdsWithin
theorem HasFPowerSeriesOnBall.differentiableOn [CompleteSpace F]
(h : HasFPowerSeriesOnBall f p x r) : DifferentiableOn 𝕜 f (EMetric.ball x r) := fun _ hy =>
(h.analyticAt_of_mem hy).differentiableWithinAt
theorem AnalyticOn.differentiableOn (h : AnalyticOn 𝕜 f s) : DifferentiableOn 𝕜 f s :=
fun y hy ↦ (h y hy).differentiableWithinAt.mono (by simp)
theorem AnalyticOnNhd.differentiableOn (h : AnalyticOnNhd 𝕜 f s) : DifferentiableOn 𝕜 f s :=
fun y hy ↦ (h y hy).differentiableWithinAt
theorem HasFPowerSeriesWithinOnBall.hasFDerivWithinAt [CompleteSpace F]
(h : HasFPowerSeriesWithinOnBall f p s x r)
{y : E} (hy : (‖y‖₊ : ℝ≥0∞) < r) (h'y : x + y ∈ insert x s) :
HasFDerivWithinAt f (continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin y 1))
(insert x s) (x + y) := by
rcases eq_or_ne y 0 with rfl | h''y
· convert (h.changeOrigin hy h'y).hasFPowerSeriesWithinAt.hasFDerivWithinAt
simp
· have Z := (h.changeOrigin hy h'y).hasFPowerSeriesWithinAt.hasFDerivWithinAt
apply (Z.mono (subset_insert _ _)).mono_of_mem_nhdsWithin
rw [nhdsWithin_insert_of_ne]
· exact self_mem_nhdsWithin
· simpa using h''y
theorem HasFPowerSeriesOnBall.hasFDerivAt [CompleteSpace F] (h : HasFPowerSeriesOnBall f p x r)
{y : E} (hy : (‖y‖₊ : ℝ≥0∞) < r) :
HasFDerivAt f (continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin y 1)) (x + y) :=
(h.changeOrigin hy).hasFPowerSeriesAt.hasFDerivAt
theorem HasFPowerSeriesWithinOnBall.fderivWithin_eq [CompleteSpace F]
(h : HasFPowerSeriesWithinOnBall f p s x r)
{y : E} (hy : (‖y‖₊ : ℝ≥0∞) < r) (h'y : x + y ∈ insert x s) (hu : UniqueDiffOn 𝕜 (insert x s)) :
fderivWithin 𝕜 f (insert x s) (x + y) =
continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin y 1) :=
(h.hasFDerivWithinAt hy h'y).fderivWithin (hu _ h'y)
theorem HasFPowerSeriesOnBall.fderiv_eq [CompleteSpace F] (h : HasFPowerSeriesOnBall f p x r)
{y : E} (hy : (‖y‖₊ : ℝ≥0∞) < r) :
fderiv 𝕜 f (x + y) = continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin y 1) :=
(h.hasFDerivAt hy).fderiv
/-- If a function has a power series on a ball, then so does its derivative. -/
protected theorem HasFPowerSeriesOnBall.fderiv [CompleteSpace F]
(h : HasFPowerSeriesOnBall f p x r) :
HasFPowerSeriesOnBall (fderiv 𝕜 f) p.derivSeries x r := by
refine .congr (f := fun z ↦ continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin (z - x) 1)) ?_
fun z hz ↦ ?_
· refine continuousMultilinearCurryFin1 𝕜 E F
|>.toContinuousLinearEquiv.toContinuousLinearMap.comp_hasFPowerSeriesOnBall ?_
simpa using ((p.hasFPowerSeriesOnBall_changeOrigin 1
(h.r_pos.trans_le h.r_le)).mono h.r_pos h.r_le).comp_sub x
dsimp only
rw [← h.fderiv_eq, add_sub_cancel]
simpa only [edist_eq_enorm_sub, EMetric.mem_ball] using hz
/-- If a function has a power series within a set on a ball, then so does its derivative. -/
protected theorem HasFPowerSeriesWithinOnBall.fderivWithin [CompleteSpace F]
(h : HasFPowerSeriesWithinOnBall f p s x r) (hu : UniqueDiffOn 𝕜 (insert x s)) :
HasFPowerSeriesWithinOnBall (fderivWithin 𝕜 f (insert x s)) p.derivSeries s x r := by
refine .congr' (f := fun z ↦ continuousMultilinearCurryFin1 𝕜 E F (p.changeOrigin (z - x) 1)) ?_
(fun z hz ↦ ?_)
· refine continuousMultilinearCurryFin1 𝕜 E F
|>.toContinuousLinearEquiv.toContinuousLinearMap.comp_hasFPowerSeriesWithinOnBall ?_
apply HasFPowerSeriesOnBall.hasFPowerSeriesWithinOnBall
simpa using ((p.hasFPowerSeriesOnBall_changeOrigin 1
(h.r_pos.trans_le h.r_le)).mono h.r_pos h.r_le).comp_sub x
· dsimp only
rw [← h.fderivWithin_eq _ _ hu, add_sub_cancel]
· simpa only [edist_eq_enorm_sub, EMetric.mem_ball] using hz.2
· simpa using hz.1
/-- If a function has a power series within a set on a ball, then so does its derivative. For a
version without completeness, but assuming that the function is analytic on the set `s`, see
`HasFPowerSeriesWithinOnBall.fderivWithin_of_mem_of_analyticOn`. -/
protected theorem HasFPowerSeriesWithinOnBall.fderivWithin_of_mem [CompleteSpace F]
(h : HasFPowerSeriesWithinOnBall f p s x r) (hu : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
HasFPowerSeriesWithinOnBall (fderivWithin 𝕜 f s) p.derivSeries s x r := by
have : insert x s = s := insert_eq_of_mem hx
rw [← this] at hu
convert h.fderivWithin hu
exact this.symm
/-- If a function is analytic on a set `s`, so is its Fréchet derivative. -/
@[fun_prop]
protected theorem AnalyticAt.fderiv [CompleteSpace F] (h : AnalyticAt 𝕜 f x) :
AnalyticAt 𝕜 (fderiv 𝕜 f) x := by
rcases h with ⟨p, r, hp⟩
exact hp.fderiv.analyticAt
|
/-- If a function is analytic on a set `s`, so is its Fréchet derivative. See also
`AnalyticOnNhd.fderiv_of_isOpen`, removing the completeness assumption but requiring the set
to be open. -/
protected theorem AnalyticOnNhd.fderiv [CompleteSpace F] (h : AnalyticOnNhd 𝕜 f s) :
AnalyticOnNhd 𝕜 (fderiv 𝕜 f) s :=
fun y hy ↦ AnalyticAt.fderiv (h y hy)
/-- If a function is analytic on a set `s`, so are its successive Fréchet derivative. See also
| Mathlib/Analysis/Calculus/FDeriv/Analytic.lean | 243 | 251 |
/-
Copyright (c) 2023 Xavier Roblot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Xavier Roblot
-/
import Mathlib.Data.Complex.FiniteDimensional
import Mathlib.MeasureTheory.Constructions.HaarToSphere
import Mathlib.MeasureTheory.Integral.Gamma
import Mathlib.MeasureTheory.Integral.Pi
import Mathlib.Analysis.SpecialFunctions.Gaussian.GaussianIntegral
/-!
# Volume of balls
Let `E` be a finite dimensional normed `ℝ`-vector space equipped with a Haar measure `μ`. We
prove that
`μ (Metric.ball 0 1) = (∫ (x : E), Real.exp (- ‖x‖ ^ p) ∂μ) / Real.Gamma (finrank ℝ E / p + 1)`
for any real number `p` with `0 < p`, see `MeasureTheorymeasure_unitBall_eq_integral_div_gamma`. We
also prove the corresponding result to compute `μ {x : E | g x < 1}` where `g : E → ℝ` is a function
defining a norm on `E`, see `MeasureTheory.measure_lt_one_eq_integral_div_gamma`.
Using these formulas, we compute the volume of the unit balls in several cases.
* `MeasureTheory.volume_sum_rpow_lt` / `MeasureTheory.volume_sum_rpow_le`: volume of the open and
closed balls for the norm `Lp` over a real finite dimensional vector space with `1 ≤ p`. These
are computed as `volume {x : ι → ℝ | (∑ i, |x i| ^ p) ^ (1 / p) < r}` and
`volume {x : ι → ℝ | (∑ i, |x i| ^ p) ^ (1 / p) ≤ r}` since the spaces `PiLp` do not have a
`MeasureSpace` instance.
* `Complex.volume_sum_rpow_lt_one` / `Complex.volume_sum_rpow_lt`: same as above but for complex
finite dimensional vector space.
* `EuclideanSpace.volume_ball` / `EuclideanSpace.volume_closedBall` : volume of open and closed
balls in a finite dimensional Euclidean space.
* `InnerProductSpace.volume_ball` / `InnerProductSpace.volume_closedBall`: volume of open and closed
balls in a finite dimensional real inner product space.
* `Complex.volume_ball` / `Complex.volume_closedBall`: volume of open and closed balls in `ℂ`.
-/
section general_case
open MeasureTheory MeasureTheory.Measure Module ENNReal
theorem MeasureTheory.measure_unitBall_eq_integral_div_gamma {E : Type*} {p : ℝ}
[NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] [MeasurableSpace E]
[BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ] (hp : 0 < p) :
μ (Metric.ball 0 1) =
.ofReal ((∫ (x : E), Real.exp (- ‖x‖ ^ p) ∂μ) / Real.Gamma (finrank ℝ E / p + 1)) := by
obtain hE | hE := subsingleton_or_nontrivial E
· rw [(Metric.nonempty_ball.mpr zero_lt_one).eq_zero, ← setIntegral_univ,
Set.univ_nonempty.eq_zero, integral_singleton, finrank_zero_of_subsingleton, Nat.cast_zero,
zero_div, zero_add, Real.Gamma_one, div_one, norm_zero, Real.zero_rpow hp.ne', neg_zero,
Real.exp_zero, smul_eq_mul, mul_one, measureReal_def, ofReal_toReal (measure_ne_top μ {0})]
· have : (0 : ℝ) < finrank ℝ E := Nat.cast_pos.mpr finrank_pos
have : ((∫ y in Set.Ioi (0 : ℝ), y ^ (finrank ℝ E - 1) • Real.exp (-y ^ p)) /
Real.Gamma ((finrank ℝ E) / p + 1)) * (finrank ℝ E) = 1 := by
simp_rw [← Real.rpow_natCast _ (finrank ℝ E - 1), smul_eq_mul, Nat.cast_sub finrank_pos,
Nat.cast_one]
rw [integral_rpow_mul_exp_neg_rpow hp (by linarith), sub_add_cancel,
Real.Gamma_add_one (ne_of_gt (by positivity))]
field_simp; ring
rw [integral_fun_norm_addHaar μ (fun x => Real.exp (- x ^ p)), nsmul_eq_mul, smul_eq_mul,
mul_div_assoc, mul_div_assoc, mul_comm, mul_assoc, this, mul_one, ofReal_measureReal _]
exact ne_of_lt measure_ball_lt_top
variable {E : Type*} [AddCommGroup E] [Module ℝ E] [FiniteDimensional ℝ E] [mE : MeasurableSpace E]
[tE : TopologicalSpace E] [IsTopologicalAddGroup E] [BorelSpace E] [T2Space E]
[ContinuousSMul ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] {g : E → ℝ} (h1 : g 0 = 0)
(h2 : ∀ x, g (-x) = g x) (h3 : ∀ x y, g (x + y) ≤ g x + g y) (h4 : ∀ {x}, g x = 0 → x = 0)
(h5 : ∀ r x, g (r • x) ≤ |r| * (g x))
include h1 h2 h3 h4 h5
theorem MeasureTheory.measure_lt_one_eq_integral_div_gamma {p : ℝ} (hp : 0 < p) :
μ {x : E | g x < 1} =
.ofReal ((∫ (x : E), Real.exp (- (g x) ^ p) ∂μ) / Real.Gamma (finrank ℝ E / p + 1)) := by
-- We copy `E` to a new type `F` on which we will put the norm defined by `g`
letI F : Type _ := E
letI : NormedAddCommGroup F :=
{ norm := g
dist := fun x y => g (x - y)
dist_self := by simp only [_root_.sub_self, h1, forall_const]
dist_comm := fun _ _ => by rw [← h2, neg_sub]
dist_triangle := fun x y z => by convert h3 (x - y) (y - z) using 1; simp [F]
edist := fun x y => .ofReal (g (x - y))
edist_dist := fun _ _ => rfl
eq_of_dist_eq_zero := by convert fun _ _ h => eq_of_sub_eq_zero (h4 h) }
letI : NormedSpace ℝ F :=
{ norm_smul_le := fun _ _ ↦ h5 _ _ }
-- We put the new topology on F
letI : TopologicalSpace F := UniformSpace.toTopologicalSpace
letI : MeasurableSpace F := borel F
have : BorelSpace F := { measurable_eq := rfl }
-- The map between `E` and `F` as a continuous linear equivalence
let φ := @LinearEquiv.toContinuousLinearEquiv ℝ _ E _ _ tE _ _ F _ _ _ _ _ _ _ _ _
(LinearEquiv.refl ℝ E : E ≃ₗ[ℝ] F)
-- The measure `ν` is the measure on `F` defined by `μ`
-- Since we have two different topologies, it is necessary to specify the topology of E
let ν : Measure F := @Measure.map E F mE _ φ μ
have : IsAddHaarMeasure ν :=
@ContinuousLinearEquiv.isAddHaarMeasure_map E F ℝ ℝ _ _ _ _ _ _ tE _ _ _ _ _ _ _ mE _ _ _ φ μ _
convert (measure_unitBall_eq_integral_div_gamma ν hp) using 1
· rw [@Measure.map_apply E F mE _ μ φ _ _ measurableSet_ball]
· congr!
simp_rw [Metric.ball, dist_zero_right]
rfl
· refine @Continuous.measurable E F tE mE _ _ _ _ φ ?_
exact @ContinuousLinearEquiv.continuous ℝ ℝ _ _ _ _ _ _ E tE _ F _ _ _ _ φ
· -- The map between `E` and `F` as a measurable equivalence
let ψ := @Homeomorph.toMeasurableEquiv E F tE mE _ _ _ _
(@ContinuousLinearEquiv.toHomeomorph ℝ ℝ _ _ _ _ _ _ E tE _ F _ _ _ _ φ)
-- The map `ψ` is measure preserving by construction
have : @MeasurePreserving E F mE _ ψ μ ν :=
@Measurable.measurePreserving E F mE _ ψ (@MeasurableEquiv.measurable E F mE _ ψ) _
rw [← this.integral_comp']
rfl
theorem MeasureTheory.measure_le_eq_lt [Nontrivial E] (r : ℝ) :
μ {x : E | g x ≤ r} = μ {x : E | g x < r} := by
-- We copy `E` to a new type `F` on which we will put the norm defined by `g`
letI F : Type _ := E
letI : NormedAddCommGroup F :=
{ norm := g
dist := fun x y => g (x - y)
dist_self := by simp only [_root_.sub_self, h1, forall_const]
dist_comm := fun _ _ => by rw [← h2, neg_sub]
dist_triangle := fun x y z => by convert h3 (x - y) (y - z) using 1; simp [F]
edist := fun x y => .ofReal (g (x - y))
edist_dist := fun _ _ => rfl
eq_of_dist_eq_zero := by convert fun _ _ h => eq_of_sub_eq_zero (h4 h) }
letI : NormedSpace ℝ F :=
{ norm_smul_le := fun _ _ ↦ h5 _ _ }
-- We put the new topology on F
letI : TopologicalSpace F := UniformSpace.toTopologicalSpace
letI : MeasurableSpace F := borel F
have : BorelSpace F := { measurable_eq := rfl }
-- The map between `E` and `F` as a continuous linear equivalence
let φ := @LinearEquiv.toContinuousLinearEquiv ℝ _ E _ _ tE _ _ F _ _ _ _ _ _ _ _ _
(LinearEquiv.refl ℝ E : E ≃ₗ[ℝ] F)
-- The measure `ν` is the measure on `F` defined by `μ`
-- Since we have two different topologies, it is necessary to specify the topology of E
let ν : Measure F := @Measure.map E F mE _ φ μ
have : IsAddHaarMeasure ν :=
@ContinuousLinearEquiv.isAddHaarMeasure_map E F ℝ ℝ _ _ _ _ _ _ tE _ _ _ _ _ _ _ mE _ _ _ φ μ _
convert addHaar_closedBall_eq_addHaar_ball ν 0 r using 1
· rw [@Measure.map_apply E F mE _ μ φ _ _ measurableSet_closedBall]
· congr!
simp_rw [Metric.closedBall, dist_zero_right]
rfl
· refine @Continuous.measurable E F tE mE _ _ _ _ φ ?_
exact @ContinuousLinearEquiv.continuous ℝ ℝ _ _ _ _ _ _ E tE _ F _ _ _ _ φ
· rw [@Measure.map_apply E F mE _ μ φ _ _ measurableSet_ball]
· congr!
simp_rw [Metric.ball, dist_zero_right]
rfl
· refine @Continuous.measurable E F tE mE _ _ _ _ φ ?_
exact @ContinuousLinearEquiv.continuous ℝ ℝ _ _ _ _ _ _ E tE _ F _ _ _ _ φ
end general_case
section LpSpace
open Real Fintype ENNReal Module MeasureTheory MeasureTheory.Measure
variable (ι : Type*) [Fintype ι] {p : ℝ}
theorem MeasureTheory.volume_sum_rpow_lt_one (hp : 1 ≤ p) :
volume {x : ι → ℝ | ∑ i, |x i| ^ p < 1} =
.ofReal ((2 * Gamma (1 / p + 1)) ^ card ι / Gamma (card ι / p + 1)) := by
have h₁ : 0 < p := by linarith
have h₂ : ∀ x : ι → ℝ, 0 ≤ ∑ i, |x i| ^ p := by
refine fun _ => Finset.sum_nonneg' ?_
exact fun i => (fun _ => rpow_nonneg (abs_nonneg _) _) _
-- We collect facts about `Lp` norms that will be used in `measure_lt_one_eq_integral_div_gamma`
have eq_norm := fun x : ι → ℝ => (PiLp.norm_eq_sum (p := .ofReal p) (f := x)
((toReal_ofReal (le_of_lt h₁)).symm ▸ h₁))
simp_rw [toReal_ofReal (le_of_lt h₁), Real.norm_eq_abs] at eq_norm
have : Fact (1 ≤ ENNReal.ofReal p) := fact_iff.mpr (ofReal_one ▸ (ofReal_le_ofReal hp))
have nm_zero := norm_zero (E := PiLp (.ofReal p) (fun _ : ι => ℝ))
have eq_zero := fun x : ι → ℝ => norm_eq_zero (E := PiLp (.ofReal p) (fun _ : ι => ℝ)) (a := x)
have nm_neg := fun x : ι → ℝ => norm_neg (E := PiLp (.ofReal p) (fun _ : ι => ℝ)) x
have nm_add := fun x y : ι → ℝ => norm_add_le (E := PiLp (.ofReal p) (fun _ : ι => ℝ)) x y
simp_rw [eq_norm] at eq_zero nm_zero nm_neg nm_add
have nm_smul := fun (r : ℝ) (x : ι → ℝ) =>
norm_smul_le (β := PiLp (.ofReal p) (fun _ : ι => ℝ)) r x
simp_rw [eq_norm, norm_eq_abs] at nm_smul
-- We use `measure_lt_one_eq_integral_div_gamma` with `g` equals to the norm `L_p`
convert (measure_lt_one_eq_integral_div_gamma (volume : Measure (ι → ℝ))
(g := fun x => (∑ i, |x i| ^ p) ^ (1 / p)) nm_zero nm_neg nm_add (eq_zero _).mp
(fun r x => nm_smul r x) (by linarith : 0 < p)) using 4
· rw [rpow_lt_one_iff' _ (one_div_pos.mpr h₁)]
exact Finset.sum_nonneg' (fun _ => rpow_nonneg (abs_nonneg _) _)
· simp_rw [← rpow_mul (h₂ _), div_mul_cancel₀ _ (ne_of_gt h₁), Real.rpow_one,
← Finset.sum_neg_distrib, exp_sum]
rw [integral_fintype_prod_eq_pow ι fun x : ℝ => exp (- |x| ^ p), integral_comp_abs
(f := fun x => exp (- x ^ p)), integral_exp_neg_rpow h₁]
· rw [finrank_fintype_fun_eq_card]
theorem MeasureTheory.volume_sum_rpow_lt [Nonempty ι] {p : ℝ} (hp : 1 ≤ p) (r : ℝ) :
volume {x : ι → ℝ | (∑ i, |x i| ^ p) ^ (1 / p) < r} = (.ofReal r) ^ card ι *
.ofReal ((2 * Gamma (1 / p + 1)) ^ card ι / Gamma (card ι / p + 1)) := by
have h₁ (x : ι → ℝ) : 0 ≤ ∑ i, |x i| ^ p := by positivity
have h₂ : ∀ x : ι → ℝ, 0 ≤ (∑ i, |x i| ^ p) ^ (1 / p) := fun x => rpow_nonneg (h₁ x) _
obtain hr | hr := le_or_lt r 0
· have : {x : ι → ℝ | (∑ i, |x i| ^ p) ^ (1 / p) < r} = ∅ := by
ext x
refine ⟨fun hx => ?_, fun hx => hx.elim⟩
exact not_le.mpr (lt_of_lt_of_le (Set.mem_setOf.mp hx) hr) (h₂ x)
rw [this, measure_empty, ← zero_eq_ofReal.mpr hr, zero_pow Fin.pos'.ne', zero_mul]
· rw [← volume_sum_rpow_lt_one _ hp, ← ofReal_pow (le_of_lt hr), ← finrank_pi ℝ]
convert addHaar_smul_of_nonneg volume (le_of_lt hr) {x : ι → ℝ | ∑ i, |x i| ^ p < 1} using 2
simp_rw [← Set.preimage_smul_inv₀ (ne_of_gt hr), Set.preimage_setOf_eq, Pi.smul_apply,
smul_eq_mul, abs_mul, mul_rpow (abs_nonneg _) (abs_nonneg _), abs_inv,
inv_rpow (abs_nonneg _), ← Finset.mul_sum, abs_eq_self.mpr (le_of_lt hr),
inv_mul_lt_iff₀ (rpow_pos_of_pos hr _), mul_one, ← rpow_lt_rpow_iff
(rpow_nonneg (h₁ _) _) (le_of_lt hr) (by linarith : 0 < p), ← rpow_mul
(h₁ _), div_mul_cancel₀ _ (ne_of_gt (by linarith) : p ≠ 0), Real.rpow_one]
theorem MeasureTheory.volume_sum_rpow_le [Nonempty ι] {p : ℝ} (hp : 1 ≤ p) (r : ℝ) :
volume {x : ι → ℝ | (∑ i, |x i| ^ p) ^ (1 / p) ≤ r} = (.ofReal r) ^ card ι *
.ofReal ((2 * Gamma (1 / p + 1)) ^ card ι / Gamma (card ι / p + 1)) := by
have h₁ : 0 < p := by linarith
-- We collect facts about `Lp` norms that will be used in `measure_le_one_eq_lt_one`
have eq_norm := fun x : ι → ℝ => (PiLp.norm_eq_sum (p := .ofReal p) (f := x)
((toReal_ofReal (le_of_lt h₁)).symm ▸ h₁))
simp_rw [toReal_ofReal (le_of_lt h₁), Real.norm_eq_abs] at eq_norm
have : Fact (1 ≤ ENNReal.ofReal p) := fact_iff.mpr (ofReal_one ▸ (ofReal_le_ofReal hp))
have nm_zero := norm_zero (E := PiLp (.ofReal p) (fun _ : ι => ℝ))
have eq_zero := fun x : ι → ℝ => norm_eq_zero (E := PiLp (.ofReal p) (fun _ : ι => ℝ)) (a := x)
have nm_neg := fun x : ι → ℝ => norm_neg (E := PiLp (.ofReal p) (fun _ : ι => ℝ)) x
have nm_add := fun x y : ι → ℝ => norm_add_le (E := PiLp (.ofReal p) (fun _ : ι => ℝ)) x y
simp_rw [eq_norm] at eq_zero nm_zero nm_neg nm_add
have nm_smul := fun (r : ℝ) (x : ι → ℝ) =>
norm_smul_le (β := PiLp (.ofReal p) (fun _ : ι => ℝ)) r x
simp_rw [eq_norm, norm_eq_abs] at nm_smul
rw [measure_le_eq_lt _ nm_zero (fun x ↦ nm_neg x) (fun x y ↦ nm_add x y) (eq_zero _).mp
(fun r x => nm_smul r x), volume_sum_rpow_lt _ hp]
theorem Complex.volume_sum_rpow_lt_one {p : ℝ} (hp : 1 ≤ p) :
volume {x : ι → ℂ | ∑ i, ‖x i‖ ^ p < 1} =
.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * card ι / p + 1)) := by
have h₁ : 0 < p := by linarith
have h₂ : ∀ x : ι → ℂ, 0 ≤ ∑ i, ‖x i‖ ^ p := by
refine fun _ => Finset.sum_nonneg' ?_
exact fun i => (fun _ => rpow_nonneg (norm_nonneg _) _) _
-- We collect facts about `Lp` norms that will be used in `measure_lt_one_eq_integral_div_gamma`
have eq_norm := fun x : ι → ℂ => (PiLp.norm_eq_sum (p := .ofReal p) (f := x)
((toReal_ofReal (le_of_lt h₁)).symm ▸ h₁))
simp_rw [toReal_ofReal (le_of_lt h₁)] at eq_norm
have : Fact (1 ≤ ENNReal.ofReal p) := fact_iff.mpr (ENNReal.ofReal_one ▸ (ofReal_le_ofReal hp))
have nm_zero := norm_zero (E := PiLp (.ofReal p) (fun _ : ι => ℂ))
have eq_zero := fun x : ι → ℂ => norm_eq_zero (E := PiLp (.ofReal p) (fun _ : ι => ℂ)) (a := x)
have nm_neg := fun x : ι → ℂ => norm_neg (E := PiLp (.ofReal p) (fun _ : ι => ℂ)) x
have nm_add := fun x y : ι → ℂ => norm_add_le (E := PiLp (.ofReal p) (fun _ : ι => ℂ)) x y
simp_rw [eq_norm] at eq_zero nm_zero nm_neg nm_add
have nm_smul := fun (r : ℝ) (x : ι → ℂ) =>
norm_smul_le (β := PiLp (.ofReal p) (fun _ : ι => ℂ)) r x
simp_rw [eq_norm] at nm_smul
-- We use `measure_lt_one_eq_integral_div_gamma` with `g` equals to the norm `L_p`
convert measure_lt_one_eq_integral_div_gamma (volume : Measure (ι → ℂ))
(g := fun x => (∑ i, ‖x i‖ ^ p) ^ (1 / p)) nm_zero nm_neg nm_add (eq_zero _).mp
(fun r x => nm_smul r x) (by linarith : 0 < p) using 4
· rw [rpow_lt_one_iff' _ (one_div_pos.mpr h₁)]
exact Finset.sum_nonneg' (fun _ => rpow_nonneg (norm_nonneg _) _)
· simp_rw [← rpow_mul (h₂ _), div_mul_cancel₀ _ (ne_of_gt h₁), Real.rpow_one,
← Finset.sum_neg_distrib, Real.exp_sum]
rw [integral_fintype_prod_eq_pow ι fun x : ℂ => Real.exp (- ‖x‖ ^ p),
Complex.integral_exp_neg_rpow hp]
· rw [finrank_pi_fintype, Complex.finrank_real_complex, Finset.sum_const, smul_eq_mul,
Nat.cast_mul, Nat.cast_ofNat, Fintype.card, mul_comm]
theorem Complex.volume_sum_rpow_lt [Nonempty ι] {p : ℝ} (hp : 1 ≤ p) (r : ℝ) :
volume {x : ι → ℂ | (∑ i, ‖x i‖ ^ p) ^ (1 / p) < r} = (.ofReal r) ^ (2 * card ι) *
.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * card ι / p + 1)) := by
have h₁ (x : ι → ℂ) : 0 ≤ ∑ i, ‖x i‖ ^ p := by positivity
have h₂ : ∀ x : ι → ℂ, 0 ≤ (∑ i, ‖x i‖ ^ p) ^ (1 / p) := fun x => rpow_nonneg (h₁ x) _
obtain hr | hr := le_or_lt r 0
· have : {x : ι → ℂ | (∑ i, ‖x i‖ ^ p) ^ (1 / p) < r} = ∅ := by
ext x
refine ⟨fun hx => ?_, fun hx => hx.elim⟩
exact not_le.mpr (lt_of_lt_of_le (Set.mem_setOf.mp hx) hr) (h₂ x)
rw [this, measure_empty, ← zero_eq_ofReal.mpr hr, zero_pow Fin.pos'.ne', zero_mul]
· rw [← Complex.volume_sum_rpow_lt_one _ hp, ← ENNReal.ofReal_pow (le_of_lt hr)]
convert addHaar_smul_of_nonneg volume (le_of_lt hr) {x : ι → ℂ | ∑ i, ‖x i‖ ^ p < 1} using 2
· simp_rw [← Set.preimage_smul_inv₀ (ne_of_gt hr), Set.preimage_setOf_eq, Pi.smul_apply,
norm_smul, mul_rpow (norm_nonneg _) (norm_nonneg _), Real.norm_eq_abs, abs_inv, inv_rpow
(abs_nonneg _), ← Finset.mul_sum, abs_eq_self.mpr (le_of_lt hr), inv_mul_lt_iff₀
(rpow_pos_of_pos hr _), mul_one, ← rpow_lt_rpow_iff (rpow_nonneg (h₁ _) _)
(le_of_lt hr) (by linarith : 0 < p), ← rpow_mul (h₁ _), div_mul_cancel₀ _
(ne_of_gt (by linarith) : p ≠ 0), Real.rpow_one]
· simp_rw [finrank_pi_fintype ℝ, Complex.finrank_real_complex, Finset.sum_const, smul_eq_mul,
mul_comm, Fintype.card]
theorem Complex.volume_sum_rpow_le [Nonempty ι] {p : ℝ} (hp : 1 ≤ p) (r : ℝ) :
volume {x : ι → ℂ | (∑ i, ‖x i‖ ^ p) ^ (1 / p) ≤ r} = (.ofReal r) ^ (2 * card ι) *
| .ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * card ι / p + 1)) := by
have h₁ : 0 < p := by linarith
-- We collect facts about `Lp` norms that will be used in `measure_lt_one_eq_integral_div_gamma`
have eq_norm := fun x : ι → ℂ => (PiLp.norm_eq_sum (p := .ofReal p) (f := x)
((toReal_ofReal (le_of_lt h₁)).symm ▸ h₁))
simp_rw [toReal_ofReal (le_of_lt h₁)] at eq_norm
have : Fact (1 ≤ ENNReal.ofReal p) := fact_iff.mpr (ENNReal.ofReal_one ▸ (ofReal_le_ofReal hp))
have nm_zero := norm_zero (E := PiLp (.ofReal p) (fun _ : ι => ℂ))
have eq_zero := fun x : ι → ℂ => norm_eq_zero (E := PiLp (.ofReal p) (fun _ : ι => ℂ)) (a := x)
have nm_neg := fun x : ι → ℂ => norm_neg (E := PiLp (.ofReal p) (fun _ : ι => ℂ)) x
have nm_add := fun x y : ι → ℂ => norm_add_le (E := PiLp (.ofReal p) (fun _ : ι => ℂ)) x y
simp_rw [eq_norm] at eq_zero nm_zero nm_neg nm_add
have nm_smul := fun (r : ℝ) (x : ι → ℂ) =>
norm_smul_le (β := PiLp (.ofReal p) (fun _ : ι => ℂ)) r x
simp_rw [eq_norm] at nm_smul
rw [measure_le_eq_lt _ nm_zero (fun x ↦ nm_neg x) (fun x y ↦ nm_add x y) (eq_zero _).mp
(fun r x => nm_smul r x), Complex.volume_sum_rpow_lt _ hp]
end LpSpace
| Mathlib/MeasureTheory/Measure/Lebesgue/VolumeOfBalls.lean | 297 | 315 |
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