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0724b21ebb8b5d5c915aa5a1634fec113fc2b0f2 | 6094e25ea0b7699e642463b48e51b2ead6ddc23f | /tests/lean/run/pquot.lean | 70832738017ac8438b79bb525a8585cc87d3e0f3 | [
"Apache-2.0"
] | permissive | gbaz/lean | a7835c4e3006fbbb079e8f8ffe18aacc45adebfb | a501c308be3acaa50a2c0610ce2e0d71becf8032 | refs/heads/master | 1,611,198,791,433 | 1,451,339,111,000 | 1,451,339,111,000 | 48,713,797 | 0 | 0 | null | 1,451,338,939,000 | 1,451,338,939,000 | null | UTF-8 | Lean | false | false | 5,415 | lean | import logic.cast data.list data.sigma
-- The (pre-)quotient type kernel extension would add the following constants
-- quot, pquot.mk, pquot.eqv and pquot.rec
-- and a computational rule, which we call pquot.comp here.
-- Note that, these constants do not assume the environment contains =
constant pquot.{l} {A : Type.{l}} (R : A → A → Prop) : Type.{l}
constant pquot.abs {A : Type} (R : A → A → Prop) : A → pquot R
-- pquot.eqv is a way to say R a b → (pquot.abs R a) = (pquot.abs R b) without mentioning equality
constant pquot.eqv {A : Type} (R : A → A → Prop) {a b : A} : R a b → ∀ (P : pquot R → Prop), P (pquot.abs R a) → P (pquot.abs R b)
constant pquot.rec {A : Type} {R : A → A → Prop} {C : pquot R → Type}
(f : Π a, C (pquot.abs R a))
-- sound is essentially saying: ∀ (a b : A) (H : R a b), f a == f b
-- H makes sure we can only define a function on (quot R) if for all a b : A
-- R a b → f a == f b
(sound : ∀ a b, R a b → ∀ P : (Π (q : pquot R), C q → Prop), P (pquot.abs R a) (f a) → P (pquot.abs R b) (f b))
(q : pquot R)
: C q
-- We would also get the following computational rule:
-- pquot.rec R H₁ H₂ (pquot.abs R a) ==> H₁ a
constant pquot.comp {A : Type} {R : A → A → Prop} {C : pquot R → Type}
(f : Π a, C (pquot.abs R a))
(sound : ∀ a b, R a b → ∀ P : (Π (q : pquot R), C q → Prop), P (pquot.abs R a) (f a) → P (pquot.abs R b) (f b))
(a : A)
-- In the implementation this would be a computational rule
: pquot.rec f sound (pquot.abs R a) = f a
-- If the environment contains = and ==, then we can define
definition pquot.eq {A : Type} (R : A → A → Prop) {a b : A} (H : R a b) : pquot.abs R a = pquot.abs R b :=
have aux : ∀ (P : pquot R → Prop), P (pquot.abs R a) → P (pquot.abs R b), from
pquot.eqv R H,
aux (λ x : pquot R, pquot.abs R a = x) rfl
definition pquot.rec_on {A : Type} {R : A → A → Prop} {C : pquot R → Type}
(q : pquot R)
(f : Π a, C (pquot.abs R a))
(sound : ∀ (a b : A), R a b → f a == f b)
: C q :=
pquot.rec f
(λ (a b : A) (H : R a b) (P : Π (q : pquot R), C q → Prop) (Ha : P (pquot.abs R a) (f a)),
have aux₁ : f a == f b, from sound a b H,
have aux₂ : pquot.abs R a = pquot.abs R b, from pquot.eq R H,
have aux₃ : ∀ (c₁ c₂ : C (pquot.abs R a)) (e : c₁ == c₂), P (pquot.abs R a) c₁ → P (pquot.abs R a) c₂, from
λ c₁ c₂ e H, eq.rec_on (heq.to_eq e) H,
have aux₄ : ∀ (c₁ : C (pquot.abs R a)) (c₂ : C (pquot.abs R b)) (e : c₁ == c₂), P (pquot.abs R a) c₁ → P (pquot.abs R b) c₂, from
eq.rec_on aux₂ aux₃,
show P (pquot.abs R b) (f b), from
aux₄ (f a) (f b) aux₁ Ha)
q
definition pquot.lift {A : Type} {R : A → A → Prop} {B : Type}
(f : A → B)
(sound : ∀ (a b : A), R a b → f a = f b)
(q : pquot R)
: B :=
pquot.rec_on q f (λ (a b : A) (H : R a b), heq.of_eq (sound a b H))
theorem pquot.induction_on {A : Type} {R : A → A → Prop} {P : pquot R → Prop}
(q : pquot R)
(f : ∀ a, P (pquot.abs R a))
: P q :=
pquot.rec_on q f (λ (a b : A) (H : R a b),
have aux₁ : pquot.abs R a = pquot.abs R b, from pquot.eq R H,
have aux₂ : P (pquot.abs R a) = P (pquot.abs R b), from congr_arg P aux₁,
have aux₃ : cast aux₂ (f a) = f b, from proof_irrel (cast aux₂ (f a)) (f b),
show f a == f b, from
@cast_to_heq _ _ _ _ aux₂ aux₃)
theorem pquot.abs.surjective {A : Type} {R : A → A → Prop} : ∀ q : pquot R, ∃ x : A, pquot.abs R x = q :=
take q, pquot.induction_on q (take a, exists.intro a rfl)
definition pquot.exact {A : Type} (R : A → A → Prop) :=
∀ a b : A, pquot.abs R a = pquot.abs R b → R a b
-- Definable quotient
structure dquot {A : Type} (R : A → A → Prop) :=
mk :: (rep : pquot R → A)
(complete : ∀a, R (rep (pquot.abs R a)) a)
-- (stable : ∀q, pquot.abs R (rep q) = q)
structure is_equiv {A : Type} (R : A → A → Prop) :=
mk :: (refl : ∀x, R x x)
(symm : ∀{x y}, R x y → R y x)
(trans : ∀{x y z}, R x y → R y z → R x z)
-- Definiable quotients are exact if R is an equivalence relation
theorem quot_exact {A : Type} {R : A → A → Prop} (eqv : is_equiv R) (q : dquot R) : pquot.exact R :=
λ (a b : A) (H : pquot.abs R a = pquot.abs R b),
have H₁ : pquot.abs R a = pquot.abs R a → R (dquot.rep q (pquot.abs R a)) (dquot.rep q (pquot.abs R a)),
from λH, is_equiv.refl eqv _,
have H₂ : pquot.abs R a = pquot.abs R b → R (dquot.rep q (pquot.abs R a)) (dquot.rep q (pquot.abs R b)),
from eq.subst H H₁,
have H₃ : R (dquot.rep q (pquot.abs R a)) (dquot.rep q (pquot.abs R b)),
from H₂ H,
have H₄ : R a (dquot.rep q (pquot.abs R a)), from is_equiv.symm eqv (dquot.complete q a),
have H₅ : R (dquot.rep q (pquot.abs R b)) b, from dquot.complete q b,
is_equiv.trans eqv H₄ (is_equiv.trans eqv H₃ H₅)
|
238e70a2c04eb6eba58376caf6f4d4abb78e54db | 1a61aba1b67cddccce19532a9596efe44be4285f | /hott/hit/refl_quotient.hlean | 9ae2999358222d274bc02b3120f43561795745fc | [
"Apache-2.0"
] | permissive | eigengrau/lean | 07986a0f2548688c13ba36231f6cdbee82abf4c6 | f8a773be1112015e2d232661ce616d23f12874d0 | refs/heads/master | 1,610,939,198,566 | 1,441,352,386,000 | 1,441,352,494,000 | 41,903,576 | 0 | 0 | null | 1,441,352,210,000 | 1,441,352,210,000 | null | UTF-8 | Lean | false | false | 3,403 | hlean | /-
Copyright (c) 2015 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
Quotient of a reflexive relation
-/
import hit.circle cubical.squareover .two_quotient
open eq simple_two_quotient e_closure
namespace refl_quotient
section
parameters {A : Type} (R : A → A → Type) (ρ : Πa, R a a)
inductive refl_quotient_Q : Π⦃a : A⦄, e_closure R a a → Type :=
| Qmk {} : Π(a : A), refl_quotient_Q [ρ a]
open refl_quotient_Q
local abbreviation Q := refl_quotient_Q
definition refl_quotient : Type := simple_two_quotient R Q -- TODO: define this in root namespace
definition rclass_of (a : A) : refl_quotient := incl0 R Q a
definition req_of_rel ⦃a a' : A⦄ (r : R a a') : rclass_of a = rclass_of a' :=
incl1 R Q r
definition pρ (a : A) : req_of_rel (ρ a) = idp :=
incl2 R Q (Qmk a)
-- protected definition rec {P : refl_quotient → Type}
-- (Pc : Π(a : A), P (rclass_of a))
-- (Pp : Π⦃a a' : A⦄ (H : R a a'), Pc a =[req_of_rel H] Pc a')
-- (Pr : Π(a : A), Pp (ρ a) =[pρ a] idpo)
-- (x : refl_quotient) : P x :=
-- sorry
-- protected definition rec_on [reducible] {P : refl_quotient → Type}
-- (Pc : Π(a : A), P (rclass_of a))
-- (Pp : Π⦃a a' : A⦄ (H : R a a'), Pc a =[req_of_rel H] Pc a')
-- (Pr : Π(a : A), Pp (ρ a) =[pρ a] idpo) : P y :=
-- rec Pinl Pinr Pglue y
-- definition rec_req_of_rel {P : Type} {P : refl_quotient → Type}
-- (Pc : Π(a : A), P (rclass_of a))
-- (Pp : Π⦃a a' : A⦄ (H : R a a'), Pc a =[req_of_rel H] Pc a')
-- (Pr : Π(a : A), Pp (ρ a) =[pρ a] idpo)
-- ⦃a a' : A⦄ (r : R a a') : apdo (rec Pc Pp Pr) (req_of_rel r) = Pp r :=
-- !rec_incl1
-- theorem rec_pρ {P : Type} {P : refl_quotient → Type}
-- (Pc : Π(a : A), P (rclass_of a))
-- (Pp : Π⦃a a' : A⦄ (H : R a a'), Pc a =[req_of_rel H] Pc a')
-- (Pr : Π(a : A), Pp (ρ a) =[pρ a] idpo) (a : A)
-- : square (ap02 (rec Pc Pp Pr) (pρ a)) (Pr a) (elim_req_of_rel Pr (ρ a)) idp :=
-- !rec_incl2
protected definition elim {P : Type} (Pc : Π(a : A), P)
(Pp : Π⦃a a' : A⦄ (H : R a a'), Pc a = Pc a') (Pr : Π(a : A), Pp (ρ a) = idp)
(x : refl_quotient) : P :=
begin
induction x,
exact Pc a,
exact Pp s,
induction q, apply Pr
end
protected definition elim_on [reducible] {P : Type} (x : refl_quotient) (Pc : Π(a : A), P)
(Pp : Π⦃a a' : A⦄ (H : R a a'), Pc a = Pc a') (Pr : Π(a : A), Pp (ρ a) = idp) : P :=
elim Pc Pp Pr x
definition elim_req_of_rel {P : Type} {Pc : Π(a : A), P}
{Pp : Π⦃a a' : A⦄ (H : R a a'), Pc a = Pc a'} (Pr : Π(a : A), Pp (ρ a) = idp)
⦃a a' : A⦄ (r : R a a') : ap (elim Pc Pp Pr) (req_of_rel r) = Pp r :=
!elim_incl1
theorem elim_pρ {P : Type} (Pc : Π(a : A), P)
(Pp : Π⦃a a' : A⦄ (H : R a a'), Pc a = Pc a') (Pr : Π(a : A), Pp (ρ a) = idp) (a : A)
: square (ap02 (elim Pc Pp Pr) (pρ a)) (Pr a) (elim_req_of_rel Pr (ρ a)) idp :=
!elim_incl2
end
end refl_quotient
attribute refl_quotient.rclass_of [constructor]
attribute /-refl_quotient.rec-/ refl_quotient.elim [unfold 8] [recursor 8]
--attribute refl_quotient.elim_type [unfold 9]
attribute /-refl_quotient.rec_on-/ refl_quotient.elim_on [unfold 5]
--attribute refl_quotient.elim_type_on [unfold 6]
|
d03a1632a2a04af07dccfe91e819a7823fcae88c | ecea1a568b8a7bdfef1206845f7dc2e62b85b6b3 | /library/init/algebra/ordered_ring.lean | b2e4fb23727665a120c56e2776f3c124d3f071be | [
"Apache-2.0"
] | permissive | ndcroos/lean | b1b6de42ee4d3ded05829373e505e09614d4acdf | 6919d231413705c892eec02bdacd7d7d916524c8 | refs/heads/master | 1,625,911,732,192 | 1,507,549,407,000 | 1,507,549,407,000 | 106,106,359 | 0 | 0 | null | 1,507,388,410,000 | 1,507,388,410,000 | null | UTF-8 | Lean | false | false | 16,340 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura
-/
prelude
import init.algebra.ordered_group init.algebra.ring
/- Make sure instances defined in this file have lower priority than the ones
defined for concrete structures -/
set_option default_priority 100
set_option old_structure_cmd true
universe u
class ordered_semiring (α : Type u)
extends semiring α, ordered_cancel_comm_monoid α :=
(mul_le_mul_of_nonneg_left: ∀ a b c : α, a ≤ b → 0 ≤ c → c * a ≤ c * b)
(mul_le_mul_of_nonneg_right: ∀ a b c : α, a ≤ b → 0 ≤ c → a * c ≤ b * c)
(mul_lt_mul_of_pos_left: ∀ a b c : α, a < b → 0 < c → c * a < c * b)
(mul_lt_mul_of_pos_right: ∀ a b c : α, a < b → 0 < c → a * c < b * c)
variable {α : Type u}
section ordered_semiring
variable [ordered_semiring α]
lemma mul_le_mul_of_nonneg_left {a b c : α} (h₁ : a ≤ b) (h₂ : 0 ≤ c) : c * a ≤ c * b :=
ordered_semiring.mul_le_mul_of_nonneg_left a b c h₁ h₂
lemma mul_le_mul_of_nonneg_right {a b c : α} (h₁ : a ≤ b) (h₂ : 0 ≤ c) : a * c ≤ b * c :=
ordered_semiring.mul_le_mul_of_nonneg_right a b c h₁ h₂
lemma mul_lt_mul_of_pos_left {a b c : α} (h₁ : a < b) (h₂ : 0 < c) : c * a < c * b :=
ordered_semiring.mul_lt_mul_of_pos_left a b c h₁ h₂
lemma mul_lt_mul_of_pos_right {a b c : α} (h₁ : a < b) (h₂ : 0 < c) : a * c < b * c :=
ordered_semiring.mul_lt_mul_of_pos_right a b c h₁ h₂
-- TODO: there are four variations, depending on which variables we assume to be nonneg
lemma mul_le_mul {a b c d : α} (hac : a ≤ c) (hbd : b ≤ d) (nn_b : 0 ≤ b) (nn_c : 0 ≤ c) : a * b ≤ c * d :=
calc
a * b ≤ c * b : mul_le_mul_of_nonneg_right hac nn_b
... ≤ c * d : mul_le_mul_of_nonneg_left hbd nn_c
lemma mul_nonneg {a b : α} (ha : a ≥ 0) (hb : b ≥ 0) : a * b ≥ 0 :=
have h : 0 * b ≤ a * b, from mul_le_mul_of_nonneg_right ha hb,
by rwa [zero_mul] at h
lemma mul_nonpos_of_nonneg_of_nonpos {a b : α} (ha : a ≥ 0) (hb : b ≤ 0) : a * b ≤ 0 :=
have h : a * b ≤ a * 0, from mul_le_mul_of_nonneg_left hb ha,
by rwa mul_zero at h
lemma mul_nonpos_of_nonpos_of_nonneg {a b : α} (ha : a ≤ 0) (hb : b ≥ 0) : a * b ≤ 0 :=
have h : a * b ≤ 0 * b, from mul_le_mul_of_nonneg_right ha hb,
by rwa zero_mul at h
lemma mul_lt_mul {a b c d : α} (hac : a < c) (hbd : b ≤ d) (pos_b : 0 < b) (nn_c : 0 ≤ c) : a * b < c * d :=
calc
a * b < c * b : mul_lt_mul_of_pos_right hac pos_b
... ≤ c * d : mul_le_mul_of_nonneg_left hbd nn_c
lemma mul_lt_mul' {a b c d : α} (h1 : a ≤ c) (h2 : b < d) (h3 : b ≥ 0) (h4 : c > 0) :
a * b < c * d :=
calc
a * b ≤ c * b : mul_le_mul_of_nonneg_right h1 h3
... < c * d : mul_lt_mul_of_pos_left h2 h4
lemma mul_pos {a b : α} (ha : a > 0) (hb : b > 0) : a * b > 0 :=
have h : 0 * b < a * b, from mul_lt_mul_of_pos_right ha hb,
by rwa zero_mul at h
lemma mul_neg_of_pos_of_neg {a b : α} (ha : a > 0) (hb : b < 0) : a * b < 0 :=
have h : a * b < a * 0, from mul_lt_mul_of_pos_left hb ha,
by rwa mul_zero at h
lemma mul_neg_of_neg_of_pos {a b : α} (ha : a < 0) (hb : b > 0) : a * b < 0 :=
have h : a * b < 0 * b, from mul_lt_mul_of_pos_right ha hb,
by rwa zero_mul at h
lemma mul_self_le_mul_self {a b : α} (h1 : 0 ≤ a) (h2 : a ≤ b) : a * a ≤ b * b :=
mul_le_mul h2 h2 h1 (le_trans h1 h2)
lemma mul_self_lt_mul_self {a b : α} (h1 : 0 ≤ a) (h2 : a < b) : a * a < b * b :=
mul_lt_mul' (le_of_lt h2) h2 h1 (lt_of_le_of_lt h1 h2)
end ordered_semiring
class linear_ordered_semiring (α : Type u) extends ordered_semiring α, linear_order α :=
(zero_lt_one : zero < one)
section linear_ordered_semiring
variable [linear_ordered_semiring α]
lemma zero_lt_one : 0 < (1:α) :=
linear_ordered_semiring.zero_lt_one α
lemma zero_le_one : 0 ≤ (1:α) :=
le_of_lt zero_lt_one
lemma lt_of_mul_lt_mul_left {a b c : α} (h : c * a < c * b) (hc : c ≥ 0) : a < b :=
lt_of_not_ge
(assume h1 : b ≤ a,
have h2 : c * b ≤ c * a, from mul_le_mul_of_nonneg_left h1 hc,
not_lt_of_ge h2 h)
lemma lt_of_mul_lt_mul_right {a b c : α} (h : a * c < b * c) (hc : c ≥ 0) : a < b :=
lt_of_not_ge
(assume h1 : b ≤ a,
have h2 : b * c ≤ a * c, from mul_le_mul_of_nonneg_right h1 hc,
not_lt_of_ge h2 h)
lemma le_of_mul_le_mul_left {a b c : α} (h : c * a ≤ c * b) (hc : c > 0) : a ≤ b :=
le_of_not_gt
(assume h1 : b < a,
have h2 : c * b < c * a, from mul_lt_mul_of_pos_left h1 hc,
not_le_of_gt h2 h)
lemma le_of_mul_le_mul_right {a b c : α} (h : a * c ≤ b * c) (hc : c > 0) : a ≤ b :=
le_of_not_gt
(assume h1 : b < a,
have h2 : b * c < a * c, from mul_lt_mul_of_pos_right h1 hc,
not_le_of_gt h2 h)
lemma pos_of_mul_pos_left {a b : α} (h : 0 < a * b) (h1 : 0 ≤ a) : 0 < b :=
lt_of_not_ge
(assume h2 : b ≤ 0,
have h3 : a * b ≤ 0, from mul_nonpos_of_nonneg_of_nonpos h1 h2,
not_lt_of_ge h3 h)
lemma pos_of_mul_pos_right {a b : α} (h : 0 < a * b) (h1 : 0 ≤ b) : 0 < a :=
lt_of_not_ge
(assume h2 : a ≤ 0,
have h3 : a * b ≤ 0, from mul_nonpos_of_nonpos_of_nonneg h2 h1,
not_lt_of_ge h3 h)
lemma nonneg_of_mul_nonneg_left {a b : α} (h : 0 ≤ a * b) (h1 : 0 < a) : 0 ≤ b :=
le_of_not_gt
(assume h2 : b < 0,
not_le_of_gt (mul_neg_of_pos_of_neg h1 h2) h)
lemma nonneg_of_mul_nonneg_right {a b : α} (h : 0 ≤ a * b) (h1 : 0 < b) : 0 ≤ a :=
le_of_not_gt
(assume h2 : a < 0,
not_le_of_gt (mul_neg_of_neg_of_pos h2 h1) h)
lemma neg_of_mul_neg_left {a b : α} (h : a * b < 0) (h1 : 0 ≤ a) : b < 0 :=
lt_of_not_ge
(assume h2 : b ≥ 0,
not_lt_of_ge (mul_nonneg h1 h2) h)
lemma neg_of_mul_neg_right {a b : α} (h : a * b < 0) (h1 : 0 ≤ b) : a < 0 :=
lt_of_not_ge
(assume h2 : a ≥ 0,
not_lt_of_ge (mul_nonneg h2 h1) h)
lemma nonpos_of_mul_nonpos_left {a b : α} (h : a * b ≤ 0) (h1 : 0 < a) : b ≤ 0 :=
le_of_not_gt
(assume h2 : b > 0,
not_le_of_gt (mul_pos h1 h2) h)
lemma nonpos_of_mul_nonpos_right {a b : α} (h : a * b ≤ 0) (h1 : 0 < b) : a ≤ 0 :=
le_of_not_gt
(assume h2 : a > 0,
not_le_of_gt (mul_pos h2 h1) h)
end linear_ordered_semiring
class decidable_linear_ordered_semiring (α : Type u) extends linear_ordered_semiring α, decidable_linear_order α
class ordered_ring (α : Type u) extends ring α, ordered_comm_group α, zero_ne_one_class α :=
(mul_nonneg : ∀ a b : α, 0 ≤ a → 0 ≤ b → 0 ≤ a * b)
(mul_pos : ∀ a b : α, 0 < a → 0 < b → 0 < a * b)
lemma ordered_ring.mul_le_mul_of_nonneg_left [s : ordered_ring α] {a b c : α}
(h₁ : a ≤ b) (h₂ : 0 ≤ c) : c * a ≤ c * b :=
have 0 ≤ b - a, from sub_nonneg_of_le h₁,
have 0 ≤ c * (b - a), from ordered_ring.mul_nonneg c (b - a) h₂ this,
begin
rw mul_sub_left_distrib at this,
apply le_of_sub_nonneg this
end
lemma ordered_ring.mul_le_mul_of_nonneg_right [s : ordered_ring α] {a b c : α}
(h₁ : a ≤ b) (h₂ : 0 ≤ c) : a * c ≤ b * c :=
have 0 ≤ b - a, from sub_nonneg_of_le h₁,
have 0 ≤ (b - a) * c, from ordered_ring.mul_nonneg (b - a) c this h₂,
begin
rw mul_sub_right_distrib at this,
apply le_of_sub_nonneg this
end
lemma ordered_ring.mul_lt_mul_of_pos_left [s : ordered_ring α] {a b c : α}
(h₁ : a < b) (h₂ : 0 < c) : c * a < c * b :=
have 0 < b - a, from sub_pos_of_lt h₁,
have 0 < c * (b - a), from ordered_ring.mul_pos c (b - a) h₂ this,
begin
rw mul_sub_left_distrib at this,
apply lt_of_sub_pos this
end
lemma ordered_ring.mul_lt_mul_of_pos_right [s : ordered_ring α] {a b c : α}
(h₁ : a < b) (h₂ : 0 < c) : a * c < b * c :=
have 0 < b - a, from sub_pos_of_lt h₁,
have 0 < (b - a) * c, from ordered_ring.mul_pos (b - a) c this h₂,
begin
rw mul_sub_right_distrib at this,
apply lt_of_sub_pos this
end
instance ordered_ring.to_ordered_semiring [s : ordered_ring α] : ordered_semiring α :=
{ s with
mul_zero := mul_zero,
zero_mul := zero_mul,
add_left_cancel := @add_left_cancel α _,
add_right_cancel := @add_right_cancel α _,
le_of_add_le_add_left := @le_of_add_le_add_left α _,
mul_le_mul_of_nonneg_left := @ordered_ring.mul_le_mul_of_nonneg_left α _,
mul_le_mul_of_nonneg_right := @ordered_ring.mul_le_mul_of_nonneg_right α _,
mul_lt_mul_of_pos_left := @ordered_ring.mul_lt_mul_of_pos_left α _,
mul_lt_mul_of_pos_right := @ordered_ring.mul_lt_mul_of_pos_right α _,
lt_of_add_lt_add_left := @lt_of_add_lt_add_left α _}
section ordered_ring
variable [ordered_ring α]
lemma mul_le_mul_of_nonpos_left {a b c : α} (h : b ≤ a) (hc : c ≤ 0) : c * a ≤ c * b :=
have -c ≥ 0, from neg_nonneg_of_nonpos hc,
have -c * b ≤ -c * a, from mul_le_mul_of_nonneg_left h this,
have -(c * b) ≤ -(c * a), by rwa [← neg_mul_eq_neg_mul, ← neg_mul_eq_neg_mul] at this,
le_of_neg_le_neg this
lemma mul_le_mul_of_nonpos_right {a b c : α} (h : b ≤ a) (hc : c ≤ 0) : a * c ≤ b * c :=
have -c ≥ 0, from neg_nonneg_of_nonpos hc,
have b * -c ≤ a * -c, from mul_le_mul_of_nonneg_right h this,
have -(b * c) ≤ -(a * c), by rwa [← neg_mul_eq_mul_neg, ← neg_mul_eq_mul_neg] at this,
le_of_neg_le_neg this
lemma mul_nonneg_of_nonpos_of_nonpos {a b : α} (ha : a ≤ 0) (hb : b ≤ 0) : 0 ≤ a * b :=
have 0 * b ≤ a * b, from mul_le_mul_of_nonpos_right ha hb,
by rwa zero_mul at this
lemma mul_lt_mul_of_neg_left {a b c : α} (h : b < a) (hc : c < 0) : c * a < c * b :=
have -c > 0, from neg_pos_of_neg hc,
have -c * b < -c * a, from mul_lt_mul_of_pos_left h this,
have -(c * b) < -(c * a), by rwa [← neg_mul_eq_neg_mul, ← neg_mul_eq_neg_mul] at this,
lt_of_neg_lt_neg this
lemma mul_lt_mul_of_neg_right {a b c : α} (h : b < a) (hc : c < 0) : a * c < b * c :=
have -c > 0, from neg_pos_of_neg hc,
have b * -c < a * -c, from mul_lt_mul_of_pos_right h this,
have -(b * c) < -(a * c), by rwa [← neg_mul_eq_mul_neg, ← neg_mul_eq_mul_neg] at this,
lt_of_neg_lt_neg this
lemma mul_pos_of_neg_of_neg {a b : α} (ha : a < 0) (hb : b < 0) : 0 < a * b :=
have 0 * b < a * b, from mul_lt_mul_of_neg_right ha hb,
by rwa zero_mul at this
end ordered_ring
class linear_ordered_ring (α : Type u) extends ordered_ring α, linear_order α :=
(zero_lt_one : zero < one)
instance linear_ordered_ring.to_linear_ordered_semiring [s : linear_ordered_ring α] : linear_ordered_semiring α :=
{ s with
mul_zero := mul_zero,
zero_mul := zero_mul,
add_left_cancel := @add_left_cancel α _,
add_right_cancel := @add_right_cancel α _,
le_of_add_le_add_left := @le_of_add_le_add_left α _,
mul_le_mul_of_nonneg_left := @mul_le_mul_of_nonneg_left α _,
mul_le_mul_of_nonneg_right := @mul_le_mul_of_nonneg_right α _,
mul_lt_mul_of_pos_left := @mul_lt_mul_of_pos_left α _,
mul_lt_mul_of_pos_right := @mul_lt_mul_of_pos_right α _,
le_total := linear_ordered_ring.le_total,
lt_of_add_lt_add_left := @lt_of_add_lt_add_left α _ }
section linear_ordered_ring
variable [linear_ordered_ring α]
lemma mul_self_nonneg (a : α) : a * a ≥ 0 :=
or.elim (le_total 0 a)
(assume h : a ≥ 0, mul_nonneg h h)
(assume h : a ≤ 0, mul_nonneg_of_nonpos_of_nonpos h h)
lemma pos_and_pos_or_neg_and_neg_of_mul_pos {a b : α} (hab : a * b > 0) :
(a > 0 ∧ b > 0) ∨ (a < 0 ∧ b < 0) :=
match lt_trichotomy 0 a with
| or.inl hlt₁ :=
match lt_trichotomy 0 b with
| or.inl hlt₂ := or.inl ⟨hlt₁, hlt₂⟩
| or.inr (or.inl heq₂) := begin rw [← heq₂, mul_zero] at hab, exact absurd hab (lt_irrefl _) end
| or.inr (or.inr hgt₂) := absurd hab (lt_asymm (mul_neg_of_pos_of_neg hlt₁ hgt₂))
end
| or.inr (or.inl heq₁) := begin rw [← heq₁, zero_mul] at hab, exact absurd hab (lt_irrefl _) end
| or.inr (or.inr hgt₁) :=
match lt_trichotomy 0 b with
| or.inl hlt₂ := absurd hab (lt_asymm (mul_neg_of_neg_of_pos hgt₁ hlt₂))
| or.inr (or.inl heq₂) := begin rw [← heq₂, mul_zero] at hab, exact absurd hab (lt_irrefl _) end
| or.inr (or.inr hgt₂) := or.inr ⟨hgt₁, hgt₂⟩
end
end
lemma gt_of_mul_lt_mul_neg_left {a b c : α} (h : c * a < c * b) (hc : c ≤ 0) : a > b :=
have nhc : -c ≥ 0, from neg_nonneg_of_nonpos hc,
have h2 : -(c * b) < -(c * a), from neg_lt_neg h,
have h3 : (-c) * b < (-c) * a, from calc
(-c) * b = - (c * b) : by rewrite neg_mul_eq_neg_mul
... < -(c * a) : h2
... = (-c) * a : by rewrite neg_mul_eq_neg_mul,
lt_of_mul_lt_mul_left h3 nhc
lemma zero_gt_neg_one : -1 < (0:α) :=
begin
have this := neg_lt_neg (@zero_lt_one α _),
rwa neg_zero at this
end
lemma le_of_mul_le_of_ge_one {a b c : α} (h : a * c ≤ b) (hb : b ≥ 0) (hc : c ≥ 1) : a ≤ b :=
have h' : a * c ≤ b * c, from calc
a * c ≤ b : h
... = b * 1 : by rewrite mul_one
... ≤ b * c : mul_le_mul_of_nonneg_left hc hb,
le_of_mul_le_mul_right h' (lt_of_lt_of_le zero_lt_one hc)
lemma nonneg_le_nonneg_of_squares_le {a b : α} (hb : b ≥ 0) (h : a * a ≤ b * b) : a ≤ b :=
le_of_not_gt (λhab, not_le_of_gt (mul_self_lt_mul_self hb hab) h)
lemma mul_self_le_mul_self_iff {a b : α} (h1 : 0 ≤ a) (h2 : 0 ≤ b) : a ≤ b ↔ a * a ≤ b * b :=
⟨mul_self_le_mul_self h1, nonneg_le_nonneg_of_squares_le h2⟩
lemma mul_self_lt_mul_self_iff {a b : α} (h1 : 0 ≤ a) (h2 : 0 ≤ b) : a < b ↔ a * a < b * b :=
iff.trans (lt_iff_not_ge _ _) $ iff.trans (not_iff_not_of_iff $ mul_self_le_mul_self_iff h2 h1) $
iff.symm (lt_iff_not_ge _ _)
lemma linear_ordered_ring.eq_zero_or_eq_zero_of_mul_eq_zero
{a b : α} (h : a * b = 0) : a = 0 ∨ b = 0 :=
match lt_trichotomy 0 a with
| or.inl hlt₁ :=
match lt_trichotomy 0 b with
| or.inl hlt₂ :=
have 0 < a * b, from mul_pos hlt₁ hlt₂,
begin rw h at this, exact absurd this (lt_irrefl _) end
| or.inr (or.inl heq₂) := or.inr heq₂.symm
| or.inr (or.inr hgt₂) :=
have 0 > a * b, from mul_neg_of_pos_of_neg hlt₁ hgt₂,
begin rw h at this, exact absurd this (lt_irrefl _) end
end
| or.inr (or.inl heq₁) := or.inl heq₁.symm
| or.inr (or.inr hgt₁) :=
match lt_trichotomy 0 b with
| or.inl hlt₂ :=
have 0 > a * b, from mul_neg_of_neg_of_pos hgt₁ hlt₂,
begin rw h at this, exact absurd this (lt_irrefl _) end
| or.inr (or.inl heq₂) := or.inr heq₂.symm
| or.inr (or.inr hgt₂) :=
have 0 < a * b, from mul_pos_of_neg_of_neg hgt₁ hgt₂,
begin rw h at this, exact absurd this (lt_irrefl _) end
end
end
end linear_ordered_ring
class linear_ordered_comm_ring (α : Type u) extends linear_ordered_ring α, comm_monoid α
instance linear_ordered_comm_ring.to_integral_domain [s: linear_ordered_comm_ring α] : integral_domain α :=
{s with
eq_zero_or_eq_zero_of_mul_eq_zero := @linear_ordered_ring.eq_zero_or_eq_zero_of_mul_eq_zero α _ }
class decidable_linear_ordered_comm_ring (α : Type u) extends linear_ordered_comm_ring α,
decidable_linear_ordered_comm_group α
instance decidable_linear_ordered_comm_ring.to_decidable_linear_ordered_semiring [d : decidable_linear_ordered_comm_ring α] :
decidable_linear_ordered_semiring α :=
let s : linear_ordered_semiring α := @linear_ordered_ring.to_linear_ordered_semiring α _ in
{d with
zero_mul := @linear_ordered_semiring.zero_mul α s,
mul_zero := @linear_ordered_semiring.mul_zero α s,
add_left_cancel := @linear_ordered_semiring.add_left_cancel α s,
add_right_cancel := @linear_ordered_semiring.add_right_cancel α s,
le_of_add_le_add_left := @linear_ordered_semiring.le_of_add_le_add_left α s,
lt_of_add_lt_add_left := @linear_ordered_semiring.lt_of_add_lt_add_left α s,
mul_le_mul_of_nonneg_left := @linear_ordered_semiring.mul_le_mul_of_nonneg_left α s,
mul_le_mul_of_nonneg_right := @linear_ordered_semiring.mul_le_mul_of_nonneg_right α s,
mul_lt_mul_of_pos_left := @linear_ordered_semiring.mul_lt_mul_of_pos_left α s,
mul_lt_mul_of_pos_right := @linear_ordered_semiring.mul_lt_mul_of_pos_right α s}
|
22860de4b88f2cd85926c7df5a02251cf933a057 | 1fbca480c1574e809ae95a3eda58188ff42a5e41 | /src/util/data/minimum/fin.lean | 6c27a591e4323dc57015d48b4179df19263ee773 | [] | no_license | unitb/lean-lib | 560eea0acf02b1fd4bcaac9986d3d7f1a4290e7e | 439b80e606b4ebe4909a08b1d77f4f5c0ee3dee9 | refs/heads/master | 1,610,706,025,400 | 1,570,144,245,000 | 1,570,144,245,000 | 99,579,229 | 5 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,083 | lean |
import util.data.fin
import util.data.minimum.nat
import util.data.set
import util.logic
open nat
namespace fin
section
parameter (n : ℕ)
@[reducible]
def t := fin n.succ
parameter {n}
variables (s : set t)
variables [decidable_pred (λ y : ℕ, y ∈ val <$> s)]
variables [decidable (val <$> s = ∅)]
lemma lt_of_mem_fin_set {k : ℕ}
(h : k ∈ val <$> s)
: k < n.succ :=
begin
unfold functor.map set.image at h,
rw [mem_set_of] at h,
cases h with i h, cases h with h₀ h₁,
rw ← h₁, apply i.is_lt
end
lemma nat_minimum_bounded
: nat.minimum (val <$> s) < n.succ :=
begin
cases decidable.em (val <$> s = ∅) with h h,
{ unfold nat.minimum,
rw dif_pos h, apply zero_lt_succ },
{ have h' := nat.minimum_mem (val <$> s) h,
apply lt_of_mem_fin_set _ h', },
end
protected def minimum : t :=
let r := nat.minimum (fin.val <$> s) in
have hr : r < nat.succ n, from nat_minimum_bounded _,
⟨r,hr⟩
lemma minimum_mem
(h : s ≠ ∅)
: fin.minimum s ∈ s :=
begin
apply set.mem_of_mem_fmap fin.val_injective,
apply nat.minimum_mem,
simp [@set.fmap_eq_empty_iff_eq_empty _ _ s val,h],
end
protected lemma minimum_le {x : t}
(h : x ∈ s)
: fin.minimum s ≤ x :=
begin
simp [le_def],
apply nat.minimum_le,
apply set.mem_fmap_of_mem h,
end
protected lemma le_minimum_of_forall_le (x : t)
(h₀ : s ≠ ∅)
(h₁ : ∀ y, y ∈ s → x ≤ y)
: x ≤ fin.minimum s :=
begin
simp [le_def],
apply nat.le_minimum_of_forall_le,
{ simp [set.fmap_eq_empty_iff_eq_empty,h₀], },
{ intros y h,
have hy := lt_of_mem_fin_set _ h,
change x.val ≤ fin.val ⟨y,hy⟩,
rw ← le_def,
apply h₁,
apply set.mem_of_mem_fmap val_injective, apply h, },
end
end
end fin
local attribute [instance] classical.prop_decidable
noncomputable instance {n} : has_minimum (fin $ succ n) :=
{ (_ : partial_order (fin $ succ n)) with
minimum := λ s, fin.minimum s
, minimum_le := λ s x h, fin.minimum_le s h
, le_minimum_of_forall_le := λ s, fin.le_minimum_of_forall_le s
, minimum_mem := λ s, fin.minimum_mem _ }
|
5c839222466b99cfd088037bd357cf6d8e997444 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/injection_ginductive.lean | 298ca03d44811c778d1444ad808e6430c60de42a | [
"Apache-2.0"
] | permissive | leanprover-community/lean | 12b87f69d92e614daea8bcc9d4de9a9ace089d0e | cce7990ea86a78bdb383e38ed7f9b5ba93c60ce0 | refs/heads/master | 1,687,508,156,644 | 1,684,951,104,000 | 1,684,951,104,000 | 169,960,991 | 457 | 107 | Apache-2.0 | 1,686,744,372,000 | 1,549,790,268,000 | C++ | UTF-8 | Lean | false | false | 400 | lean | inductive term
| const (n : string) : term
| app (fn : string) (args : list term) : term
constant p : Prop → Prop
axiom p_ax : ∀ x, p x = x
example (f₁ f₂ : string) (as₁ as₂ : list term) (h : term.app f₁ as₁ = term.app f₂ as₂) : p (as₁ = as₂) :=
begin
injection h,
trace_state,
guard_hyp h_1 : f₁ = f₂,
guard_hyp h_2 : as₁ = as₂,
rw p_ax,
assumption
end
|
03cefedfcd403d2bb6a4690b26eccf67b9c3ee9b | 957a80ea22c5abb4f4670b250d55534d9db99108 | /tests/lean/1293.lean | 8f8b9aa97911f9879e8b4b2bba06b4afbb0a3071 | [
"Apache-2.0"
] | permissive | GaloisInc/lean | aa1e64d604051e602fcf4610061314b9a37ab8cd | f1ec117a24459b59c6ff9e56a1d09d9e9e60a6c0 | refs/heads/master | 1,592,202,909,807 | 1,504,624,387,000 | 1,504,624,387,000 | 75,319,626 | 2 | 1 | Apache-2.0 | 1,539,290,164,000 | 1,480,616,104,000 | C++ | UTF-8 | Lean | false | false | 384 | lean | open expr tactic
example : true := by whnf (var 0) >> return ()
example : true := by whnf (app (var 0) (var 0)) >> return ()
example : true := by head_zeta (var 0) >> return ()
example : true := by unify (var 0) (var 0) >> return ()
example : true := by is_def_eq (var 0) (var 0) >> return ()
example foo trivial := by do
t ← infer_type (var 0),
to_expr ``(trivial) >>= apply
|
66dbcebcba08f93c81a7986a68db33480791e81b | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/data/real/pointwise.lean | f3b74ce52f747e27ace2f15c066787734e84824d | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 5,097 | lean | /-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Eric Wieser
-/
import algebra.order.module
import data.real.basic
/-!
# Pointwise operations on sets of reals
This file relates `Inf (a • s)`/`Sup (a • s)` with `a • Inf s`/`a • Sup s` for `s : set ℝ`.
From these, it relates `⨅ i, a • f i` / `⨆ i, a • f i` with `a • (⨅ i, f i)` / `a • (⨆ i, f i)`,
and provides lemmas about distributing `*` over `⨅` and `⨆`.
# TODO
This is true more generally for conditionally complete linear order whose default value is `0`. We
don't have those yet.
-/
open set
open_locale pointwise
variables {ι : Sort*} {α : Type*} [linear_ordered_field α]
section mul_action_with_zero
variables [mul_action_with_zero α ℝ] [ordered_smul α ℝ] {a : α}
lemma real.Inf_smul_of_nonneg (ha : 0 ≤ a) (s : set ℝ) : Inf (a • s) = a • Inf s :=
begin
obtain rfl | hs := s.eq_empty_or_nonempty,
{ rw [smul_set_empty, real.Inf_empty, smul_zero] },
obtain rfl | ha' := ha.eq_or_lt,
{ rw [zero_smul_set hs, zero_smul],
exact cInf_singleton 0 },
by_cases bdd_below s,
{ exact ((order_iso.smul_left ℝ ha').map_cInf' hs h).symm },
{ rw [real.Inf_of_not_bdd_below (mt (bdd_below_smul_iff_of_pos ha').1 h),
real.Inf_of_not_bdd_below h, smul_zero] }
end
lemma real.smul_infi_of_nonneg (ha : 0 ≤ a) (f : ι → ℝ) :
a • (⨅ i, f i) = ⨅ i, a • f i :=
(real.Inf_smul_of_nonneg ha _).symm.trans $ congr_arg Inf $ (range_comp _ _).symm
lemma real.Sup_smul_of_nonneg (ha : 0 ≤ a) (s : set ℝ) : Sup (a • s) = a • Sup s :=
begin
obtain rfl | hs := s.eq_empty_or_nonempty,
{ rw [smul_set_empty, real.Sup_empty, smul_zero] },
obtain rfl | ha' := ha.eq_or_lt,
{ rw [zero_smul_set hs, zero_smul],
exact cSup_singleton 0 },
by_cases bdd_above s,
{ exact ((order_iso.smul_left ℝ ha').map_cSup' hs h).symm },
{ rw [real.Sup_of_not_bdd_above (mt (bdd_above_smul_iff_of_pos ha').1 h),
real.Sup_of_not_bdd_above h, smul_zero] }
end
lemma real.smul_supr_of_nonneg (ha : 0 ≤ a) (f : ι → ℝ) :
a • (⨆ i, f i) = ⨆ i, a • f i :=
(real.Sup_smul_of_nonneg ha _).symm.trans $ congr_arg Sup $ (range_comp _ _).symm
end mul_action_with_zero
section module
variables [module α ℝ] [ordered_smul α ℝ] {a : α}
lemma real.Inf_smul_of_nonpos (ha : a ≤ 0) (s : set ℝ) : Inf (a • s) = a • Sup s :=
begin
obtain rfl | hs := s.eq_empty_or_nonempty,
{ rw [smul_set_empty, real.Inf_empty, real.Sup_empty, smul_zero] },
obtain rfl | ha' := ha.eq_or_lt,
{ rw [zero_smul_set hs, zero_smul],
exact cInf_singleton 0 },
by_cases bdd_above s,
{ exact ((order_iso.smul_left_dual ℝ ha').map_cSup' hs h).symm },
{ rw [real.Inf_of_not_bdd_below (mt (bdd_below_smul_iff_of_neg ha').1 h),
real.Sup_of_not_bdd_above h, smul_zero] }
end
lemma real.smul_supr_of_nonpos (ha : a ≤ 0) (f : ι → ℝ) :
a • (⨆ i, f i) = ⨅ i, a • f i :=
(real.Inf_smul_of_nonpos ha _).symm.trans $ congr_arg Inf $ (range_comp _ _).symm
lemma real.Sup_smul_of_nonpos (ha : a ≤ 0) (s : set ℝ) : Sup (a • s) = a • Inf s :=
begin
obtain rfl | hs := s.eq_empty_or_nonempty,
{ rw [smul_set_empty, real.Sup_empty, real.Inf_empty, smul_zero] },
obtain rfl | ha' := ha.eq_or_lt,
{ rw [zero_smul_set hs, zero_smul],
exact cSup_singleton 0 },
by_cases bdd_below s,
{ exact ((order_iso.smul_left_dual ℝ ha').map_cInf' hs h).symm },
{ rw [real.Sup_of_not_bdd_above (mt (bdd_above_smul_iff_of_neg ha').1 h),
real.Inf_of_not_bdd_below h, smul_zero] }
end
lemma real.smul_infi_of_nonpos (ha : a ≤ 0) (f : ι → ℝ) :
a • (⨅ i, f i) = ⨆ i, a • f i :=
(real.Sup_smul_of_nonpos ha _).symm.trans $ congr_arg Sup $ (range_comp _ _).symm
end module
/-! ## Special cases for real multiplication -/
section mul
variables {r : ℝ}
lemma real.mul_infi_of_nonneg (ha : 0 ≤ r) (f : ι → ℝ) : r * (⨅ i, f i) = ⨅ i, r * f i :=
real.smul_infi_of_nonneg ha f
lemma real.mul_supr_of_nonneg (ha : 0 ≤ r) (f : ι → ℝ) : r * (⨆ i, f i) = ⨆ i, r * f i :=
real.smul_supr_of_nonneg ha f
lemma real.mul_infi_of_nonpos (ha : r ≤ 0) (f : ι → ℝ) : r * (⨅ i, f i) = ⨆ i, r * f i :=
real.smul_infi_of_nonpos ha f
lemma real.mul_supr_of_nonpos (ha : r ≤ 0) (f : ι → ℝ) : r * (⨆ i, f i) = ⨅ i, r * f i :=
real.smul_supr_of_nonpos ha f
lemma real.infi_mul_of_nonneg (ha : 0 ≤ r) (f : ι → ℝ) : (⨅ i, f i) * r = ⨅ i, f i * r :=
by simp only [real.mul_infi_of_nonneg ha, mul_comm]
lemma real.supr_mul_of_nonneg (ha : 0 ≤ r) (f : ι → ℝ) : (⨆ i, f i) * r = ⨆ i, f i * r :=
by simp only [real.mul_supr_of_nonneg ha, mul_comm]
lemma real.infi_mul_of_nonpos (ha : r ≤ 0) (f : ι → ℝ) : (⨅ i, f i) * r = ⨆ i, f i * r :=
by simp only [real.mul_infi_of_nonpos ha, mul_comm]
lemma real.supr_mul_of_nonpos (ha : r ≤ 0) (f : ι → ℝ) : (⨆ i, f i) * r = ⨅ i, f i * r :=
by simp only [real.mul_supr_of_nonpos ha, mul_comm]
end mul
|
756c4e6d9a4439119c310ea91a11490ef921684f | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/Lean/Elab/PreDefinition/WF/PackMutual.lean | 4b9919997462085c88c2ba82d8f35308b8ea473c | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 8,615 | lean | /-
Copyright (c) 2021 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Meta.Tactic.Cases
import Lean.Elab.PreDefinition.Basic
namespace Lean.Elab.WF
open Meta
/-- Combine different function domains `ds` using `PSum`s -/
private def mkNewDomain (ds : Array Expr) : MetaM Expr := do
let mut r := ds.back
for d in ds.pop.reverse do
r ← mkAppM ``PSum #[d, r]
return r
private def getCodomainLevel (preDefType : Expr) : MetaM Level :=
forallBoundedTelescope preDefType (some 1) fun _ body => getLevel body
/--
Return the universe level for the codomain of the given definitions.
This method produces an error if the codomains are in different universe levels.
-/
private def getCodomainsLevel (preDefsOriginal : Array PreDefinition) (preDefTypes : Array Expr) : MetaM Level := do
let r ← getCodomainLevel preDefTypes[0]!
for i in [1:preDefTypes.size] do
let preDef := preDefTypes[i]!
unless (← isLevelDefEq r (← getCodomainLevel preDef)) do
let arity₀ ← lambdaTelescope preDefsOriginal[0]!.value fun xs _ => return xs.size
let arityᵢ ← lambdaTelescope preDefsOriginal[i]!.value fun xs _ => return xs.size
forallBoundedTelescope preDefsOriginal[0]!.type arity₀ fun _ type₀ =>
forallBoundedTelescope preDefsOriginal[i]!.type arityᵢ fun _ typeᵢ =>
withOptions (fun o => pp.sanitizeNames.set o false) do
throwError "invalid mutual definition, result types must be in the same universe level, resulting type for `{preDefsOriginal[0]!.declName}` is{indentExpr type₀} : {← inferType type₀}\nand for `{preDefsOriginal[i]!.declName}` is{indentExpr typeᵢ} : {← inferType typeᵢ}"
return r
/--
Create the codomain for the new function that "combines" different `preDef` types
See: `packMutual`
-/
private partial def mkNewCoDomain (preDefsOriginal : Array PreDefinition) (preDefTypes : Array Expr) (x : Expr) : MetaM Expr := do
let u ← getCodomainsLevel preDefsOriginal preDefTypes
let rec go (x : Expr) (i : Nat) : MetaM Expr := do
if i < preDefTypes.size - 1 then
let xType ← whnfD (← inferType x)
assert! xType.isAppOfArity ``PSum 2
let xTypeArgs := xType.getAppArgs
let casesOn := mkConst (mkCasesOnName ``PSum) (mkLevelSucc u :: xType.getAppFn.constLevels!)
let casesOn := mkAppN casesOn xTypeArgs -- parameters
let casesOn := mkApp casesOn (← mkLambdaFVars #[x] (mkSort u)) -- motive
let casesOn := mkApp casesOn x -- major
let minor1 ← withLocalDeclD (← mkFreshUserName `_x) xTypeArgs[0]! fun x =>
mkLambdaFVars #[x] (preDefTypes[i]!.bindingBody!.instantiate1 x)
let minor2 ← withLocalDeclD (← mkFreshUserName `_x) xTypeArgs[1]! fun x => do
mkLambdaFVars #[x] (← go x (i+1))
return mkApp2 casesOn minor1 minor2
else
return preDefTypes[i]!.bindingBody!.instantiate1 x
go x 0
/--
Combine/pack the values of the different definitions in a single value
`x` is `PSum`, and we use `PSum.casesOn` to select the appropriate `preDefs.value`.
See: `packMutual`.
Remark: this method does not replace the nested recursive `preDefValues` applications.
This step is performed by `transform` with the following `post` method.
-/
private partial def packValues (x : Expr) (codomain : Expr) (preDefValues : Array Expr) : MetaM Expr := do
let varNames := preDefValues.map fun val =>
assert! val.isLambda
val.bindingName!
let mvar ← mkFreshExprSyntheticOpaqueMVar codomain
let rec go (mvarId : MVarId) (x : FVarId) (i : Nat) : MetaM Unit := do
if i < preDefValues.size - 1 then
/-
Names for the `cases` tactics. The names are important to preserve the user provided names (unary functions).
-/
let givenNames : Array AltVarNames :=
if i == preDefValues.size - 2 then
#[{ varNames := [varNames[i]!] }, { varNames := [varNames[i+1]!] }]
else
#[{ varNames := [varNames[i]!] }]
let #[s₁, s₂] ← mvarId.cases x (givenNames := givenNames) | unreachable!
s₁.mvarId.assign (mkApp preDefValues[i]! s₁.fields[0]!).headBeta
go s₂.mvarId s₂.fields[0]!.fvarId! (i+1)
else
mvarId.assign (mkApp preDefValues[i]! (mkFVar x)).headBeta
go mvar.mvarId! x.fvarId! 0
instantiateMVars mvar
/--
Auxiliary function for replacing nested `preDefs` recursive calls in `e` with the new function `newFn`.
See: `packMutual`
-/
private partial def post (fixedPrefix : Nat) (preDefs : Array PreDefinition) (domain : Expr) (newFn : Name) (e : Expr) : MetaM TransformStep := do
if e.getAppNumArgs != fixedPrefix + 1 then
return TransformStep.done e
let f := e.getAppFn
if !f.isConst then
return TransformStep.done e
let declName := f.constName!
let us := f.constLevels!
if let some fidx := preDefs.findIdx? (·.declName == declName) then
let args := e.getAppArgs
let fixedArgs := args[:fixedPrefix]
let arg := args.back
let rec mkNewArg (i : Nat) (type : Expr) : MetaM Expr := do
if i == preDefs.size - 1 then
return arg
else
(← whnfD type).withApp fun f args => do
assert! args.size == 2
if i == fidx then
return mkApp3 (mkConst ``PSum.inl f.constLevels!) args[0]! args[1]! arg
else
let r ← mkNewArg (i+1) args[1]!
return mkApp3 (mkConst ``PSum.inr f.constLevels!) args[0]! args[1]! r
return TransformStep.done <| mkApp (mkAppN (mkConst newFn us) fixedArgs) (← mkNewArg 0 domain)
return TransformStep.done e
partial def withFixedPrefix (fixedPrefix : Nat) (preDefs : Array PreDefinition) (k : Array Expr → Array Expr → Array Expr → MetaM α) : MetaM α :=
go fixedPrefix #[] (preDefs.map (·.value))
where
go (i : Nat) (fvars : Array Expr) (vals : Array Expr) : MetaM α := do
match i with
| 0 => k fvars (← preDefs.mapM fun preDef => instantiateForall preDef.type fvars) vals
| i+1 =>
withLocalDecl vals[0]!.bindingName! vals[0]!.binderInfo vals[0]!.bindingDomain! fun x =>
go i (fvars.push x) (vals.map fun val => val.bindingBody!.instantiate1 x)
/--
If `preDefs.size > 1`, combine different functions in a single one using `PSum`.
This method assumes all `preDefs` have arity 1, and have already been processed using `packDomain`.
Here is a small example. Suppose the input is
```
f x :=
match x.2.1, x.2.2.1, x.2.2.2 with
| 0, a, b => a
| Nat.succ n, a, b => (g ⟨x.1, n, a, b⟩).fst
g x :=
match x.2.1, x.2.2.1, x.2.2.2 with
| 0, a, b => (a, b)
| Nat.succ n, a, b => (h ⟨x.1, n, a, b⟩, a)
h x =>
match x.2.1, x.2.2.1, x.2.2.2 with
| 0, a, b => b
| Nat.succ n, a, b => f ⟨x.1, n, a, b⟩
```
this method produces the following pre definition
```
f._mutual x :=
PSum.casesOn x
(fun val =>
match val.2.1, val.2.2.1, val.2.2.2 with
| 0, a, b => a
| Nat.succ n, a, b => (f._mutual (PSum.inr (PSum.inl ⟨val.1, n, a, b⟩))).fst
fun val =>
PSum.casesOn val
(fun val =>
match val.2.1, val.2.2.1, val.2.2.2 with
| 0, a, b => (a, b)
| Nat.succ n, a, b => (f._mutual (PSum.inr (PSum.inr ⟨val.1, n, a, b⟩)), a)
fun val =>
match val.2.1, val.2.2.1, val.2.2.2 with
| 0, a, b => b
| Nat.succ n, a, b =>
f._mutual (PSum.inl ⟨val.1, n, a, b⟩)
```
Remark: `preDefsOriginal` is used for error reporting, it contains the definitions before applying `packDomain`.
-/
def packMutual (fixedPrefix : Nat) (preDefsOriginal : Array PreDefinition) (preDefs : Array PreDefinition) : MetaM PreDefinition := do
if preDefs.size == 1 then return preDefs[0]!
withFixedPrefix fixedPrefix preDefs fun ys types vals => do
let domains := types.map fun type => type.bindingDomain!
let domain ← mkNewDomain domains
withLocalDeclD (← mkFreshUserName `_x) domain fun x => do
let codomain ← mkNewCoDomain preDefsOriginal types x
let type ← mkForallFVars (ys.push x) codomain
let value ← packValues x codomain vals
let newFn := preDefs[0]!.declName ++ `_mutual
let preDefNew := { preDefs[0]! with declName := newFn, type, value }
addAsAxiom preDefNew
let value ← transform value (post := post fixedPrefix preDefs domain newFn)
let value ← mkLambdaFVars (ys.push x) value
return { preDefNew with value }
end Lean.Elab.WF
|
8aaddf056e651efb197ca2a5fef491a694a0f583 | 80746c6dba6a866de5431094bf9f8f841b043d77 | /src/data/nat/cast.lean | 021cea9e216f6ef0e04b1118df7f7571542c3965 | [
"Apache-2.0"
] | permissive | leanprover-fork/mathlib-backup | 8b5c95c535b148fca858f7e8db75a76252e32987 | 0eb9db6a1a8a605f0cf9e33873d0450f9f0ae9b0 | refs/heads/master | 1,585,156,056,139 | 1,548,864,430,000 | 1,548,864,438,000 | 143,964,213 | 0 | 0 | Apache-2.0 | 1,550,795,966,000 | 1,533,705,322,000 | Lean | UTF-8 | Lean | false | false | 3,952 | lean | /-
Copyright (c) 2014 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
Natural homomorphism from the natural numbers into a monoid with one.
-/
import tactic.interactive algebra.order algebra.ordered_group algebra.ring
namespace nat
variables {α : Type*}
section
variables [has_zero α] [has_one α] [has_add α]
/-- Canonical homomorphism from `ℕ` to a type `α` with `0`, `1` and `+`. -/
protected def cast : ℕ → α
| 0 := 0
| (n+1) := cast n + 1
@[priority 0] instance cast_coe : has_coe ℕ α := ⟨nat.cast⟩
@[simp] theorem cast_zero : ((0 : ℕ) : α) = 0 := rfl
theorem cast_add_one (n : ℕ) : ((n + 1 : ℕ) : α) = n + 1 := rfl
@[simp] theorem cast_succ (n : ℕ) : ((succ n : ℕ) : α) = n + 1 := rfl
end
@[simp] theorem cast_one [add_monoid α] [has_one α] : ((1 : ℕ) : α) = 1 := zero_add _
@[simp] theorem cast_add [add_monoid α] [has_one α] (m) : ∀ n, ((m + n : ℕ) : α) = m + n
| 0 := (add_zero _).symm
| (n+1) := show ((m + n : ℕ) : α) + 1 = m + (n + 1), by rw [cast_add n, add_assoc]
instance [add_monoid α] [has_one α] : is_add_monoid_hom (coe : ℕ → α) :=
by refine_struct {..}; simp
@[simp] theorem cast_bit0 [add_monoid α] [has_one α] (n : ℕ) : ((bit0 n : ℕ) : α) = bit0 n := cast_add _ _
@[simp] theorem cast_bit1 [add_monoid α] [has_one α] (n : ℕ) : ((bit1 n : ℕ) : α) = bit1 n :=
by rw [bit1, cast_add_one, cast_bit0]; refl
lemma cast_two {α : Type*} [semiring α] : ((2 : ℕ) : α) = 2 := by simp
@[simp] theorem cast_pred [add_group α] [has_one α] : ∀ {n}, n > 0 → ((n - 1 : ℕ) : α) = n - 1
| (n+1) h := (add_sub_cancel (n:α) 1).symm
@[simp] theorem cast_sub [add_group α] [has_one α] {m n} (h : m ≤ n) : ((n - m : ℕ) : α) = n - m :=
eq_sub_of_add_eq $ by rw [← cast_add, nat.sub_add_cancel h]
@[simp] theorem cast_mul [semiring α] (m) : ∀ n, ((m * n : ℕ) : α) = m * n
| 0 := (mul_zero _).symm
| (n+1) := (cast_add _ _).trans $
show ((m * n : ℕ) : α) + m = m * (n + 1), by rw [cast_mul n, left_distrib, mul_one]
instance [semiring α] : is_semiring_hom (coe : ℕ → α) :=
by refine_struct {..}; simp
theorem mul_cast_comm [semiring α] (a : α) (n : ℕ) : a * n = n * a :=
by induction n; simp [left_distrib, right_distrib, *]
@[simp] theorem cast_nonneg [linear_ordered_semiring α] : ∀ n : ℕ, 0 ≤ (n : α)
| 0 := le_refl _
| (n+1) := add_nonneg (cast_nonneg n) zero_le_one
@[simp] theorem cast_le [linear_ordered_semiring α] : ∀ {m n : ℕ}, (m : α) ≤ n ↔ m ≤ n
| 0 n := by simp [zero_le]
| (m+1) 0 := by simpa [not_succ_le_zero] using
lt_add_of_lt_of_nonneg zero_lt_one (@cast_nonneg α _ m)
| (m+1) (n+1) := (add_le_add_iff_right 1).trans $
(@cast_le m n).trans $ (add_le_add_iff_right 1).symm
@[simp] theorem cast_lt [linear_ordered_semiring α] {m n : ℕ} : (m : α) < n ↔ m < n :=
by simpa [-cast_le] using not_congr (@cast_le α _ n m)
@[simp] theorem cast_pos [linear_ordered_semiring α] {n : ℕ} : (0 : α) < n ↔ 0 < n :=
by rw [← cast_zero, cast_lt]
theorem eq_cast [add_monoid α] [has_one α] (f : ℕ → α)
(H0 : f 0 = 0) (H1 : f 1 = 1)
(Hadd : ∀ x y, f (x + y) = f x + f y) : ∀ n : ℕ, f n = n
| 0 := H0
| (n+1) := by rw [Hadd, H1, eq_cast]; refl
theorem eq_cast' [add_group α] [has_one α] (f : ℕ → α)
(H1 : f 1 = 1) (Hadd : ∀ x y, f (x + y) = f x + f y) : ∀ n : ℕ, f n = n :=
eq_cast _ (by rw [← add_left_inj (f 0), add_zero, ← Hadd]) H1 Hadd
@[simp] theorem cast_id (n : ℕ) : ↑n = n :=
(eq_cast id rfl rfl (λ _ _, rfl) n).symm
@[simp] theorem cast_min [decidable_linear_ordered_semiring α] {a b : ℕ} : (↑(min a b) : α) = min a b :=
by by_cases a ≤ b; simp [h, min]
@[simp] theorem cast_max [decidable_linear_ordered_semiring α] {a b : ℕ} : (↑(max a b) : α) = max a b :=
by by_cases a ≤ b; simp [h, max]
end nat
|
b75166917b412f729b0365a1e6174bcb162e9766 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/ring_theory/subring/basic.lean | bf784d0fff7fd7b334b566a7d7133dc4f4b5b421 | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 47,471 | lean | /-
Copyright (c) 2020 Ashvni Narayanan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ashvni Narayanan
-/
import group_theory.subgroup.basic
import ring_theory.subsemiring.basic
/-!
# Subrings
Let `R` be a ring. This file defines the "bundled" subring type `subring R`, a type
whose terms correspond to subrings of `R`. This is the preferred way to talk
about subrings in mathlib. Unbundled subrings (`s : set R` and `is_subring s`)
are not in this file, and they will ultimately be deprecated.
We prove that subrings are a complete lattice, and that you can `map` (pushforward) and
`comap` (pull back) them along ring homomorphisms.
We define the `closure` construction from `set R` to `subring R`, sending a subset of `R`
to the subring it generates, and prove that it is a Galois insertion.
## Main definitions
Notation used here:
`(R : Type u) [ring R] (S : Type u) [ring S] (f g : R →+* S)`
`(A : subring R) (B : subring S) (s : set R)`
* `subring R` : the type of subrings of a ring `R`.
* `instance : complete_lattice (subring R)` : the complete lattice structure on the subrings.
* `subring.center` : the center of a ring `R`.
* `subring.closure` : subring closure of a set, i.e., the smallest subring that includes the set.
* `subring.gi` : `closure : set M → subring M` and coercion `coe : subring M → set M`
form a `galois_insertion`.
* `comap f B : subring A` : the preimage of a subring `B` along the ring homomorphism `f`
* `map f A : subring B` : the image of a subring `A` along the ring homomorphism `f`.
* `prod A B : subring (R × S)` : the product of subrings
* `f.range : subring B` : the range of the ring homomorphism `f`.
* `eq_locus f g : subring R` : given ring homomorphisms `f g : R →+* S`,
the subring of `R` where `f x = g x`
## Implementation notes
A subring is implemented as a subsemiring which is also an additive subgroup.
The initial PR was as a submonoid which is also an additive subgroup.
Lattice inclusion (e.g. `≤` and `⊓`) is used rather than set notation (`⊆` and `∩`), although
`∈` is defined as membership of a subring's underlying set.
## Tags
subring, subrings
-/
open_locale big_operators
universes u v w
variables {R : Type u} {S : Type v} {T : Type w} [ring R]
section subring_class
/-- `subring_class S R` states that `S` is a type of subsets `s ⊆ R` that
are both a multiplicative submonoid and an additive subgroup. -/
class subring_class (S : Type*) (R : out_param $ Type u) [ring R] [set_like S R]
extends subsemiring_class S R :=
(neg_mem : ∀ {s : S} {a : R}, a ∈ s → -a ∈ s)
@[priority 100] -- See note [lower instance priority]
instance subring_class.add_subgroup_class (S : Type*) (R : out_param $ Type u) [set_like S R]
[ring R] [h : subring_class S R] : add_subgroup_class S R :=
{ .. h }
variables [set_like S R] [hSR : subring_class S R] (s : S)
include hSR
lemma coe_int_mem (n : ℤ) : (n : R) ∈ s :=
by simp only [← zsmul_one, zsmul_mem, one_mem]
namespace subring_class
@[priority 75]
instance to_has_int_cast : has_int_cast s :=
⟨λ n, ⟨n, coe_int_mem s n⟩⟩
/-- A subring of a ring inherits a ring structure -/
@[priority 75] -- Prefer subclasses of `ring` over subclasses of `subring_class`.
instance to_ring : ring s :=
subtype.coe_injective.ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl)
omit hSR
/-- A subring of a `comm_ring` is a `comm_ring`. -/
@[priority 75] -- Prefer subclasses of `ring` over subclasses of `subring_class`.
instance to_comm_ring {R} [comm_ring R] [set_like S R] [subring_class S R] : comm_ring s :=
subtype.coe_injective.comm_ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl)
/-- A subring of a domain is a domain. -/
@[priority 75] -- Prefer subclasses of `ring` over subclasses of `subring_class`.
instance {R} [ring R] [is_domain R] [set_like S R] [subring_class S R] : is_domain s :=
{ .. subsemiring_class.nontrivial s, .. subsemiring_class.no_zero_divisors s }
/-- A subring of an `ordered_ring` is an `ordered_ring`. -/
@[priority 75] -- Prefer subclasses of `ring` over subclasses of `subring_class`.
instance to_ordered_ring {R} [ordered_ring R] [set_like S R] [subring_class S R] :
ordered_ring s :=
subtype.coe_injective.ordered_ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl)
/-- A subring of an `ordered_comm_ring` is an `ordered_comm_ring`. -/
@[priority 75] -- Prefer subclasses of `ring` over subclasses of `subring_class`.
instance to_ordered_comm_ring {R} [ordered_comm_ring R] [set_like S R] [subring_class S R] :
ordered_comm_ring s :=
subtype.coe_injective.ordered_comm_ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl)
/-- A subring of a `linear_ordered_ring` is a `linear_ordered_ring`. -/
@[priority 75] -- Prefer subclasses of `ring` over subclasses of `subring_class`.
instance to_linear_ordered_ring {R} [linear_ordered_ring R] [set_like S R] [subring_class S R] :
linear_ordered_ring s :=
subtype.coe_injective.linear_ordered_ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl) (λ _ _, rfl)
(λ _ _, rfl)
/-- A subring of a `linear_ordered_comm_ring` is a `linear_ordered_comm_ring`. -/
@[priority 75] -- Prefer subclasses of `ring` over subclasses of `subring_class`.
instance to_linear_ordered_comm_ring {R} [linear_ordered_comm_ring R] [set_like S R]
[subring_class S R] : linear_ordered_comm_ring s :=
subtype.coe_injective.linear_ordered_comm_ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl) (λ _ _, rfl)
(λ _ _, rfl)
include hSR
/-- The natural ring hom from a subring of ring `R` to `R`. -/
def subtype (s : S) : s →+* R :=
{ to_fun := coe,
.. submonoid_class.subtype s,
.. add_subgroup_class.subtype s }
@[simp] theorem coe_subtype : (subtype s : s → R) = coe := rfl
@[simp, norm_cast] lemma coe_nat_cast (n : ℕ) : ((n : s) : R) = n := map_nat_cast (subtype s) n
@[simp, norm_cast] lemma coe_int_cast (n : ℤ) : ((n : s) : R) = n := map_int_cast (subtype s) n
end subring_class
end subring_class
variables [ring S] [ring T]
set_option old_structure_cmd true
/-- `subring R` is the type of subrings of `R`. A subring of `R` is a subset `s` that is a
multiplicative submonoid and an additive subgroup. Note in particular that it shares the
same 0 and 1 as R. -/
structure subring (R : Type u) [ring R] extends subsemiring R, add_subgroup R
/-- Reinterpret a `subring` as a `subsemiring`. -/
add_decl_doc subring.to_subsemiring
/-- Reinterpret a `subring` as an `add_subgroup`. -/
add_decl_doc subring.to_add_subgroup
namespace subring
/-- The underlying submonoid of a subring. -/
def to_submonoid (s : subring R) : submonoid R :=
{ carrier := s.carrier,
..s.to_subsemiring.to_submonoid }
instance : set_like (subring R) R :=
{ coe := subring.carrier,
coe_injective' := λ p q h, by cases p; cases q; congr' }
instance : subring_class (subring R) R :=
{ zero_mem := zero_mem',
add_mem := add_mem',
one_mem := one_mem',
mul_mem := mul_mem',
neg_mem := neg_mem' }
@[simp]
lemma mem_carrier {s : subring R} {x : R} : x ∈ s.carrier ↔ x ∈ s := iff.rfl
@[simp]
lemma mem_mk {S : set R} {x : R} (h₁ h₂ h₃ h₄ h₅) :
x ∈ (⟨S, h₁, h₂, h₃, h₄, h₅⟩ : subring R) ↔ x ∈ S := iff.rfl
@[simp] lemma coe_set_mk (S : set R) (h₁ h₂ h₃ h₄ h₅) :
((⟨S, h₁, h₂, h₃, h₄, h₅⟩ : subring R) : set R) = S := rfl
@[simp]
lemma mk_le_mk {S S' : set R} (h₁ h₂ h₃ h₄ h₅ h₁' h₂' h₃' h₄' h₅') :
(⟨S, h₁, h₂, h₃, h₄, h₅⟩ : subring R) ≤ (⟨S', h₁', h₂', h₃', h₄', h₅'⟩ : subring R) ↔ S ⊆ S' :=
iff.rfl
/-- Two subrings are equal if they have the same elements. -/
@[ext] theorem ext {S T : subring R} (h : ∀ x, x ∈ S ↔ x ∈ T) : S = T := set_like.ext h
/-- Copy of a subring with a new `carrier` equal to the old one. Useful to fix definitional
equalities. -/
protected def copy (S : subring R) (s : set R) (hs : s = ↑S) : subring R :=
{ carrier := s,
neg_mem' := λ _, hs.symm ▸ S.neg_mem',
..S.to_subsemiring.copy s hs }
@[simp] lemma coe_copy (S : subring R) (s : set R) (hs : s = ↑S) :
(S.copy s hs : set R) = s := rfl
lemma copy_eq (S : subring R) (s : set R) (hs : s = ↑S) : S.copy s hs = S :=
set_like.coe_injective hs
lemma to_subsemiring_injective : function.injective (to_subsemiring : subring R → subsemiring R)
| r s h := ext (set_like.ext_iff.mp h : _)
@[mono]
lemma to_subsemiring_strict_mono : strict_mono (to_subsemiring : subring R → subsemiring R) :=
λ _ _, id
@[mono]
lemma to_subsemiring_mono : monotone (to_subsemiring : subring R → subsemiring R) :=
to_subsemiring_strict_mono.monotone
lemma to_add_subgroup_injective : function.injective (to_add_subgroup : subring R → add_subgroup R)
| r s h := ext (set_like.ext_iff.mp h : _)
@[mono]
lemma to_add_subgroup_strict_mono : strict_mono (to_add_subgroup : subring R → add_subgroup R) :=
λ _ _, id
@[mono]
lemma to_add_subgroup_mono : monotone (to_add_subgroup : subring R → add_subgroup R) :=
to_add_subgroup_strict_mono.monotone
lemma to_submonoid_injective : function.injective (to_submonoid : subring R → submonoid R)
| r s h := ext (set_like.ext_iff.mp h : _)
@[mono]
lemma to_submonoid_strict_mono : strict_mono (to_submonoid : subring R → submonoid R) :=
λ _ _, id
@[mono]
lemma to_submonoid_mono : monotone (to_submonoid : subring R → submonoid R) :=
to_submonoid_strict_mono.monotone
/-- Construct a `subring R` from a set `s`, a submonoid `sm`, and an additive
subgroup `sa` such that `x ∈ s ↔ x ∈ sm ↔ x ∈ sa`. -/
protected def mk' (s : set R) (sm : submonoid R) (sa : add_subgroup R)
(hm : ↑sm = s) (ha : ↑sa = s) :
subring R :=
{ carrier := s,
zero_mem' := ha ▸ sa.zero_mem,
one_mem' := hm ▸ sm.one_mem,
add_mem' := λ x y, by simpa only [← ha] using sa.add_mem,
mul_mem' := λ x y, by simpa only [← hm] using sm.mul_mem,
neg_mem' := λ x, by simpa only [← ha] using sa.neg_mem, }
@[simp] lemma coe_mk' {s : set R} {sm : submonoid R} (hm : ↑sm = s)
{sa : add_subgroup R} (ha : ↑sa = s) :
(subring.mk' s sm sa hm ha : set R) = s := rfl
@[simp] lemma mem_mk' {s : set R} {sm : submonoid R} (hm : ↑sm = s)
{sa : add_subgroup R} (ha : ↑sa = s) {x : R} :
x ∈ subring.mk' s sm sa hm ha ↔ x ∈ s :=
iff.rfl
@[simp] lemma mk'_to_submonoid {s : set R} {sm : submonoid R} (hm : ↑sm = s)
{sa : add_subgroup R} (ha : ↑sa = s) :
(subring.mk' s sm sa hm ha).to_submonoid = sm :=
set_like.coe_injective hm.symm
@[simp] lemma mk'_to_add_subgroup {s : set R} {sm : submonoid R} (hm : ↑sm = s)
{sa : add_subgroup R} (ha : ↑sa =s) :
(subring.mk' s sm sa hm ha).to_add_subgroup = sa :=
set_like.coe_injective ha.symm
end subring
/-- A `subsemiring` containing -1 is a `subring`. -/
def subsemiring.to_subring (s : subsemiring R) (hneg : (-1 : R) ∈ s) : subring R :=
{ neg_mem' := by { rintros x, rw <-neg_one_mul, apply subsemiring.mul_mem, exact hneg, }
..s.to_submonoid, ..s.to_add_submonoid }
namespace subring
variables (s : subring R)
/-- A subring contains the ring's 1. -/
protected theorem one_mem : (1 : R) ∈ s := one_mem _
/-- A subring contains the ring's 0. -/
protected theorem zero_mem : (0 : R) ∈ s := zero_mem _
/-- A subring is closed under multiplication. -/
protected theorem mul_mem {x y : R} : x ∈ s → y ∈ s → x * y ∈ s := mul_mem
/-- A subring is closed under addition. -/
protected theorem add_mem {x y : R} : x ∈ s → y ∈ s → x + y ∈ s := add_mem
/-- A subring is closed under negation. -/
protected theorem neg_mem {x : R} : x ∈ s → -x ∈ s := neg_mem
/-- A subring is closed under subtraction -/
protected theorem sub_mem {x y : R} (hx : x ∈ s) (hy : y ∈ s) : x - y ∈ s := sub_mem hx hy
/-- Product of a list of elements in a subring is in the subring. -/
protected lemma list_prod_mem {l : list R} : (∀x ∈ l, x ∈ s) → l.prod ∈ s := list_prod_mem
/-- Sum of a list of elements in a subring is in the subring. -/
protected lemma list_sum_mem {l : list R} : (∀x ∈ l, x ∈ s) → l.sum ∈ s := list_sum_mem
/-- Product of a multiset of elements in a subring of a `comm_ring` is in the subring. -/
protected lemma multiset_prod_mem {R} [comm_ring R] (s : subring R) (m : multiset R) :
(∀a ∈ m, a ∈ s) → m.prod ∈ s :=
multiset_prod_mem _
/-- Sum of a multiset of elements in an `subring` of a `ring` is
in the `subring`. -/
protected lemma multiset_sum_mem {R} [ring R] (s : subring R) (m : multiset R) :
(∀a ∈ m, a ∈ s) → m.sum ∈ s :=
multiset_sum_mem _
/-- Product of elements of a subring of a `comm_ring` indexed by a `finset` is in the
subring. -/
protected lemma prod_mem {R : Type*} [comm_ring R] (s : subring R)
{ι : Type*} {t : finset ι} {f : ι → R} (h : ∀c ∈ t, f c ∈ s) :
∏ i in t, f i ∈ s :=
prod_mem h
/-- Sum of elements in a `subring` of a `ring` indexed by a `finset`
is in the `subring`. -/
protected lemma sum_mem {R : Type*} [ring R] (s : subring R)
{ι : Type*} {t : finset ι} {f : ι → R} (h : ∀c ∈ t, f c ∈ s) :
∑ i in t, f i ∈ s :=
sum_mem h
/-- A subring of a ring inherits a ring structure -/
instance to_ring : ring s :=
subtype.coe_injective.ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl)
protected lemma zsmul_mem {x : R} (hx : x ∈ s) (n : ℤ) : n • x ∈ s := zsmul_mem hx n
protected lemma pow_mem {x : R} (hx : x ∈ s) (n : ℕ) : x^n ∈ s := pow_mem hx n
@[simp, norm_cast] lemma coe_add (x y : s) : (↑(x + y) : R) = ↑x + ↑y := rfl
@[simp, norm_cast] lemma coe_neg (x : s) : (↑(-x) : R) = -↑x := rfl
@[simp, norm_cast] lemma coe_mul (x y : s) : (↑(x * y) : R) = ↑x * ↑y := rfl
@[simp, norm_cast] lemma coe_zero : ((0 : s) : R) = 0 := rfl
@[simp, norm_cast] lemma coe_one : ((1 : s) : R) = 1 := rfl
@[simp, norm_cast] lemma coe_pow (x : s) (n : ℕ) : (↑(x ^ n) : R) = x ^ n :=
submonoid_class.coe_pow x n
-- TODO: can be generalized to `add_submonoid_class`
@[simp] lemma coe_eq_zero_iff {x : s} : (x : R) = 0 ↔ x = 0 :=
⟨λ h, subtype.ext (trans h s.coe_zero.symm),
λ h, h.symm ▸ s.coe_zero⟩
/-- A subring of a `comm_ring` is a `comm_ring`. -/
instance to_comm_ring {R} [comm_ring R] (s : subring R) : comm_ring s :=
subtype.coe_injective.comm_ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl)
/-- A subring of a non-trivial ring is non-trivial. -/
instance {R} [ring R] [nontrivial R] (s : subring R) : nontrivial s :=
s.to_subsemiring.nontrivial
/-- A subring of a ring with no zero divisors has no zero divisors. -/
instance {R} [ring R] [no_zero_divisors R] (s : subring R) : no_zero_divisors s :=
s.to_subsemiring.no_zero_divisors
/-- A subring of a domain is a domain. -/
instance {R} [ring R] [is_domain R] (s : subring R) : is_domain s :=
{ .. s.nontrivial, .. s.no_zero_divisors, .. s.to_ring }
/-- A subring of an `ordered_ring` is an `ordered_ring`. -/
instance to_ordered_ring {R} [ordered_ring R] (s : subring R) : ordered_ring s :=
subtype.coe_injective.ordered_ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl)
/-- A subring of an `ordered_comm_ring` is an `ordered_comm_ring`. -/
instance to_ordered_comm_ring {R} [ordered_comm_ring R] (s : subring R) : ordered_comm_ring s :=
subtype.coe_injective.ordered_comm_ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl)
/-- A subring of a `linear_ordered_ring` is a `linear_ordered_ring`. -/
instance to_linear_ordered_ring {R} [linear_ordered_ring R] (s : subring R) :
linear_ordered_ring s :=
subtype.coe_injective.linear_ordered_ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl) (λ _ _, rfl)
(λ _ _, rfl)
/-- A subring of a `linear_ordered_comm_ring` is a `linear_ordered_comm_ring`. -/
instance to_linear_ordered_comm_ring {R} [linear_ordered_comm_ring R] (s : subring R) :
linear_ordered_comm_ring s :=
subtype.coe_injective.linear_ordered_comm_ring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl)
(λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _ _, rfl) (λ _, rfl) (λ _, rfl) (λ _ _, rfl)
(λ _ _, rfl)
/-- The natural ring hom from a subring of ring `R` to `R`. -/
def subtype (s : subring R) : s →+* R :=
{ to_fun := coe,
.. s.to_submonoid.subtype, .. s.to_add_subgroup.subtype }
@[simp] theorem coe_subtype : ⇑s.subtype = coe := rfl
@[simp, norm_cast] lemma coe_nat_cast : ∀ n : ℕ, ((n : s) : R) = n := map_nat_cast s.subtype
@[simp, norm_cast] lemma coe_int_cast : ∀ n : ℤ, ((n : s) : R) = n := map_int_cast s.subtype
/-! ## Partial order -/
@[simp] lemma mem_to_submonoid {s : subring R} {x : R} : x ∈ s.to_submonoid ↔ x ∈ s := iff.rfl
@[simp] lemma coe_to_submonoid (s : subring R) : (s.to_submonoid : set R) = s := rfl
@[simp] lemma mem_to_add_subgroup {s : subring R} {x : R} :
x ∈ s.to_add_subgroup ↔ x ∈ s := iff.rfl
@[simp] lemma coe_to_add_subgroup (s : subring R) : (s.to_add_subgroup : set R) = s := rfl
/-! ## top -/
/-- The subring `R` of the ring `R`. -/
instance : has_top (subring R) :=
⟨{ .. (⊤ : submonoid R), .. (⊤ : add_subgroup R) }⟩
@[simp] lemma mem_top (x : R) : x ∈ (⊤ : subring R) := set.mem_univ x
@[simp] lemma coe_top : ((⊤ : subring R) : set R) = set.univ := rfl
/-- The ring equiv between the top element of `subring R` and `R`. -/
@[simps]
def top_equiv : (⊤ : subring R) ≃+* R := subsemiring.top_equiv
/-! ## comap -/
/-- The preimage of a subring along a ring homomorphism is a subring. -/
def comap {R : Type u} {S : Type v} [ring R] [ring S]
(f : R →+* S) (s : subring S) : subring R :=
{ carrier := f ⁻¹' s.carrier,
.. s.to_submonoid.comap (f : R →* S),
.. s.to_add_subgroup.comap (f : R →+ S) }
@[simp] lemma coe_comap (s : subring S) (f : R →+* S) : (s.comap f : set R) = f ⁻¹' s := rfl
@[simp]
lemma mem_comap {s : subring S} {f : R →+* S} {x : R} : x ∈ s.comap f ↔ f x ∈ s := iff.rfl
lemma comap_comap (s : subring T) (g : S →+* T) (f : R →+* S) :
(s.comap g).comap f = s.comap (g.comp f) :=
rfl
/-! ## map -/
/-- The image of a subring along a ring homomorphism is a subring. -/
def map {R : Type u} {S : Type v} [ring R] [ring S]
(f : R →+* S) (s : subring R) : subring S :=
{ carrier := f '' s.carrier,
.. s.to_submonoid.map (f : R →* S),
.. s.to_add_subgroup.map (f : R →+ S) }
@[simp] lemma coe_map (f : R →+* S) (s : subring R) : (s.map f : set S) = f '' s := rfl
@[simp] lemma mem_map {f : R →+* S} {s : subring R} {y : S} :
y ∈ s.map f ↔ ∃ x ∈ s, f x = y :=
set.mem_image_iff_bex
@[simp] lemma map_id : s.map (ring_hom.id R) = s :=
set_like.coe_injective $ set.image_id _
lemma map_map (g : S →+* T) (f : R →+* S) : (s.map f).map g = s.map (g.comp f) :=
set_like.coe_injective $ set.image_image _ _ _
lemma map_le_iff_le_comap {f : R →+* S} {s : subring R} {t : subring S} :
s.map f ≤ t ↔ s ≤ t.comap f :=
set.image_subset_iff
lemma gc_map_comap (f : R →+* S) : galois_connection (map f) (comap f) :=
λ S T, map_le_iff_le_comap
/-- A subring is isomorphic to its image under an injective function -/
noncomputable def equiv_map_of_injective
(f : R →+* S) (hf : function.injective f) : s ≃+* s.map f :=
{ map_mul' := λ _ _, subtype.ext (f.map_mul _ _),
map_add' := λ _ _, subtype.ext (f.map_add _ _),
..equiv.set.image f s hf }
@[simp] lemma coe_equiv_map_of_injective_apply
(f : R →+* S) (hf : function.injective f) (x : s) :
(equiv_map_of_injective s f hf x : S) = f x := rfl
end subring
namespace ring_hom
variables (g : S →+* T) (f : R →+* S)
/-! ## range -/
/-- The range of a ring homomorphism, as a subring of the target. See Note [range copy pattern]. -/
def range {R : Type u} {S : Type v} [ring R] [ring S] (f : R →+* S) : subring S :=
((⊤ : subring R).map f).copy (set.range f) set.image_univ.symm
@[simp] lemma coe_range : (f.range : set S) = set.range f := rfl
@[simp] lemma mem_range {f : R →+* S} {y : S} : y ∈ f.range ↔ ∃ x, f x = y := iff.rfl
lemma range_eq_map (f : R →+* S) : f.range = subring.map f ⊤ :=
by { ext, simp }
lemma mem_range_self (f : R →+* S) (x : R) : f x ∈ f.range :=
mem_range.mpr ⟨x, rfl⟩
lemma map_range : f.range.map g = (g.comp f).range :=
by simpa only [range_eq_map] using (⊤ : subring R).map_map g f
/-- The range of a ring homomorphism is a fintype, if the domain is a fintype.
Note: this instance can form a diamond with `subtype.fintype` in the
presence of `fintype S`. -/
instance fintype_range [fintype R] [decidable_eq S] (f : R →+* S) : fintype (range f) :=
set.fintype_range f
end ring_hom
namespace subring
/-! ## bot -/
instance : has_bot (subring R) := ⟨(int.cast_ring_hom R).range⟩
instance : inhabited (subring R) := ⟨⊥⟩
lemma coe_bot : ((⊥ : subring R) : set R) = set.range (coe : ℤ → R) :=
ring_hom.coe_range (int.cast_ring_hom R)
lemma mem_bot {x : R} : x ∈ (⊥ : subring R) ↔ ∃ (n : ℤ), ↑n = x :=
ring_hom.mem_range
/-! ## inf -/
/-- The inf of two subrings is their intersection. -/
instance : has_inf (subring R) :=
⟨λ s t,
{ carrier := s ∩ t,
.. s.to_submonoid ⊓ t.to_submonoid,
.. s.to_add_subgroup ⊓ t.to_add_subgroup }⟩
@[simp] lemma coe_inf (p p' : subring R) : ((p ⊓ p' : subring R) : set R) = p ∩ p' := rfl
@[simp] lemma mem_inf {p p' : subring R} {x : R} : x ∈ p ⊓ p' ↔ x ∈ p ∧ x ∈ p' := iff.rfl
instance : has_Inf (subring R) :=
⟨λ s, subring.mk' (⋂ t ∈ s, ↑t) (⨅ t ∈ s, subring.to_submonoid t )
(⨅ t ∈ s, subring.to_add_subgroup t) (by simp) (by simp)⟩
@[simp, norm_cast] lemma coe_Inf (S : set (subring R)) :
((Inf S : subring R) : set R) = ⋂ s ∈ S, ↑s := rfl
lemma mem_Inf {S : set (subring R)} {x : R} : x ∈ Inf S ↔ ∀ p ∈ S, x ∈ p := set.mem_Inter₂
@[simp, norm_cast] lemma coe_infi {ι : Sort*} {S : ι → subring R} :
(↑(⨅ i, S i) : set R) = ⋂ i, S i :=
by simp only [infi, coe_Inf, set.bInter_range]
lemma mem_infi {ι : Sort*} {S : ι → subring R} {x : R} : (x ∈ ⨅ i, S i) ↔ ∀ i, x ∈ S i :=
by simp only [infi, mem_Inf, set.forall_range_iff]
@[simp] lemma Inf_to_submonoid (s : set (subring R)) :
(Inf s).to_submonoid = ⨅ t ∈ s, subring.to_submonoid t := mk'_to_submonoid _ _
@[simp] lemma Inf_to_add_subgroup (s : set (subring R)) :
(Inf s).to_add_subgroup = ⨅ t ∈ s, subring.to_add_subgroup t := mk'_to_add_subgroup _ _
/-- Subrings of a ring form a complete lattice. -/
instance : complete_lattice (subring R) :=
{ bot := (⊥),
bot_le := λ s x hx, let ⟨n, hn⟩ := mem_bot.1 hx in hn ▸ coe_int_mem s n,
top := (⊤),
le_top := λ s x hx, trivial,
inf := (⊓),
inf_le_left := λ s t x, and.left,
inf_le_right := λ s t x, and.right,
le_inf := λ s t₁ t₂ h₁ h₂ x hx, ⟨h₁ hx, h₂ hx⟩,
.. complete_lattice_of_Inf (subring R)
(λ s, is_glb.of_image (λ s t,
show (s : set R) ≤ t ↔ s ≤ t, from set_like.coe_subset_coe) is_glb_binfi)}
lemma eq_top_iff' (A : subring R) : A = ⊤ ↔ ∀ x : R, x ∈ A :=
eq_top_iff.trans ⟨λ h m, h $ mem_top m, λ h m _, h m⟩
/-! ## Center of a ring -/
section
variables (R)
/-- The center of a ring `R` is the set of elements that commute with everything in `R` -/
def center : subring R :=
{ carrier := set.center R,
neg_mem' := λ a, set.neg_mem_center,
.. subsemiring.center R }
lemma coe_center : ↑(center R) = set.center R := rfl
@[simp] lemma center_to_subsemiring : (center R).to_subsemiring = subsemiring.center R := rfl
variables {R}
lemma mem_center_iff {z : R} : z ∈ center R ↔ ∀ g, g * z = z * g :=
iff.rfl
instance decidable_mem_center [decidable_eq R] [fintype R] : decidable_pred (∈ center R) :=
λ _, decidable_of_iff' _ mem_center_iff
@[simp] lemma center_eq_top (R) [comm_ring R] : center R = ⊤ :=
set_like.coe_injective (set.center_eq_univ R)
/-- The center is commutative. -/
instance : comm_ring (center R) :=
{ ..subsemiring.center.comm_semiring,
..(center R).to_ring}
end
section division_ring
variables {K : Type u} [division_ring K]
instance : field (center K) :=
{ inv := λ a, ⟨a⁻¹, set.inv_mem_center₀ a.prop⟩,
mul_inv_cancel := λ ⟨a, ha⟩ h, subtype.ext $ mul_inv_cancel $ subtype.coe_injective.ne h,
div := λ a b, ⟨a / b, set.div_mem_center₀ a.prop b.prop⟩,
div_eq_mul_inv := λ a b, subtype.ext $ div_eq_mul_inv _ _,
inv_zero := subtype.ext inv_zero,
..(center K).nontrivial,
..center.comm_ring }
@[simp]
lemma center.coe_inv (a : center K) : ((a⁻¹ : center K) : K) = (a : K)⁻¹ := rfl
@[simp]
lemma center.coe_div (a b : center K) : ((a / b : center K) : K) = (a : K) / (b : K) := rfl
end division_ring
/-! ## subring closure of a subset -/
/-- The `subring` generated by a set. -/
def closure (s : set R) : subring R := Inf {S | s ⊆ S}
lemma mem_closure {x : R} {s : set R} : x ∈ closure s ↔ ∀ S : subring R, s ⊆ S → x ∈ S :=
mem_Inf
/-- The subring generated by a set includes the set. -/
@[simp] lemma subset_closure {s : set R} : s ⊆ closure s := λ x hx, mem_closure.2 $ λ S hS, hS hx
lemma not_mem_of_not_mem_closure {s : set R} {P : R} (hP : P ∉ closure s) : P ∉ s :=
λ h, hP (subset_closure h)
/-- A subring `t` includes `closure s` if and only if it includes `s`. -/
@[simp]
lemma closure_le {s : set R} {t : subring R} : closure s ≤ t ↔ s ⊆ t :=
⟨set.subset.trans subset_closure, λ h, Inf_le h⟩
/-- Subring closure of a set is monotone in its argument: if `s ⊆ t`,
then `closure s ≤ closure t`. -/
lemma closure_mono ⦃s t : set R⦄ (h : s ⊆ t) : closure s ≤ closure t :=
closure_le.2 $ set.subset.trans h subset_closure
lemma closure_eq_of_le {s : set R} {t : subring R} (h₁ : s ⊆ t) (h₂ : t ≤ closure s) :
closure s = t :=
le_antisymm (closure_le.2 h₁) h₂
/-- An induction principle for closure membership. If `p` holds for `0`, `1`, and all elements
of `s`, and is preserved under addition, negation, and multiplication, then `p` holds for all
elements of the closure of `s`. -/
@[elab_as_eliminator]
lemma closure_induction {s : set R} {p : R → Prop} {x} (h : x ∈ closure s)
(Hs : ∀ x ∈ s, p x) (H0 : p 0) (H1 : p 1)
(Hadd : ∀ x y, p x → p y → p (x + y))
(Hneg : ∀ (x : R), p x → p (-x))
(Hmul : ∀ x y, p x → p y → p (x * y)) : p x :=
(@closure_le _ _ _ ⟨p, Hmul, H1, Hadd, H0, Hneg⟩).2 Hs h
/-- An induction principle for closure membership, for predicates with two arguments. -/
@[elab_as_eliminator]
lemma closure_induction₂ {s : set R} {p : R → R → Prop} {a b : R}
(ha : a ∈ closure s) (hb : b ∈ closure s)
(Hs : ∀ (x ∈ s) (y ∈ s), p x y)
(H0_left : ∀ x, p 0 x)
(H0_right : ∀ x, p x 0)
(H1_left : ∀ x, p 1 x)
(H1_right : ∀ x, p x 1)
(Hneg_left : ∀ x y, p x y → p (-x) y)
(Hneg_right : ∀ x y, p x y → p x (-y))
(Hadd_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ + x₂) y)
(Hadd_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ + y₂))
(Hmul_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ * x₂) y)
(Hmul_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ * y₂)) : p a b :=
begin
refine closure_induction hb _ (H0_right _) (H1_right _)
(Hadd_right a) (Hneg_right a) (Hmul_right a),
refine closure_induction ha Hs (λ x _, H0_left x) (λ x _, H1_left x) _ _ _,
{ exact (λ x y H₁ H₂ z zs, Hadd_left x y z (H₁ z zs) (H₂ z zs)) },
{ exact (λ x hx z zs, Hneg_left x z (hx z zs)) },
{ exact (λ x y H₁ H₂ z zs, Hmul_left x y z (H₁ z zs) (H₂ z zs)) }
end
lemma mem_closure_iff {s : set R} {x} :
x ∈ closure s ↔ x ∈ add_subgroup.closure (submonoid.closure s : set R) :=
⟨λ h, closure_induction h (λ x hx, add_subgroup.subset_closure $ submonoid.subset_closure hx)
(add_subgroup.zero_mem _)
(add_subgroup.subset_closure ( submonoid.one_mem (submonoid.closure s)) )
(λ x y hx hy, add_subgroup.add_mem _ hx hy )
(λ x hx, add_subgroup.neg_mem _ hx )
(λ x y hx hy, add_subgroup.closure_induction hy
(λ q hq, add_subgroup.closure_induction hx
(λ p hp, add_subgroup.subset_closure ((submonoid.closure s).mul_mem hp hq))
(begin rw zero_mul q, apply add_subgroup.zero_mem _, end)
(λ p₁ p₂ ihp₁ ihp₂, begin rw add_mul p₁ p₂ q, apply add_subgroup.add_mem _ ihp₁ ihp₂, end)
(λ x hx, begin have f : -x * q = -(x*q) :=
by simp, rw f, apply add_subgroup.neg_mem _ hx, end))
(begin rw mul_zero x, apply add_subgroup.zero_mem _, end)
(λ q₁ q₂ ihq₁ ihq₂, begin rw mul_add x q₁ q₂, apply add_subgroup.add_mem _ ihq₁ ihq₂ end)
(λ z hz, begin have f : x * -z = -(x*z) := by simp,
rw f, apply add_subgroup.neg_mem _ hz, end)),
λ h, add_subgroup.closure_induction h
(λ x hx, submonoid.closure_induction hx
(λ x hx, subset_closure hx)
(one_mem _)
(λ x y hx hy, mul_mem hx hy))
(zero_mem _)
(λ x y hx hy, add_mem hx hy)
(λ x hx, neg_mem hx)⟩
/-- If all elements of `s : set A` commute pairwise, then `closure s` is a commutative ring. -/
def closure_comm_ring_of_comm {s : set R} (hcomm : ∀ (a ∈ s) (b ∈ s), a * b = b * a) :
comm_ring (closure s) :=
{ mul_comm := λ x y,
begin
ext,
simp only [subring.coe_mul],
refine closure_induction₂ x.prop y.prop
hcomm
(λ x, by simp only [mul_zero, zero_mul])
(λ x, by simp only [mul_zero, zero_mul])
(λ x, by simp only [mul_one, one_mul])
(λ x, by simp only [mul_one, one_mul])
(λ x y hxy, by simp only [mul_neg, neg_mul, hxy])
(λ x y hxy, by simp only [mul_neg, neg_mul, hxy])
(λ x₁ x₂ y h₁ h₂, by simp only [add_mul, mul_add, h₁, h₂])
(λ x₁ x₂ y h₁ h₂, by simp only [add_mul, mul_add, h₁, h₂])
(λ x₁ x₂ y h₁ h₂, by rw [←mul_assoc, ←h₁, mul_assoc x₁ y x₂, ←h₂, mul_assoc])
(λ x₁ x₂ y h₁ h₂, by rw [←mul_assoc, h₁, mul_assoc, h₂, ←mul_assoc])
end,
..(closure s).to_ring }
theorem exists_list_of_mem_closure {s : set R} {x : R} (h : x ∈ closure s) :
(∃ L : list (list R), (∀ t ∈ L, ∀ y ∈ t, y ∈ s ∨ y = (-1:R)) ∧ (L.map list.prod).sum = x) :=
add_subgroup.closure_induction (mem_closure_iff.1 h)
(λ x hx, let ⟨l, hl, h⟩ :=submonoid.exists_list_of_mem_closure hx in ⟨[l], by simp [h];
clear_aux_decl; tauto!⟩)
⟨[], by simp⟩
(λ x y ⟨l, hl1, hl2⟩ ⟨m, hm1, hm2⟩, ⟨l ++ m, λ t ht, (list.mem_append.1 ht).elim (hl1 t) (hm1 t),
by simp [hl2, hm2]⟩)
(λ x ⟨L, hL⟩, ⟨L.map (list.cons (-1)), list.forall_mem_map_iff.2 $ λ j hj, list.forall_mem_cons.2
⟨or.inr rfl, hL.1 j hj⟩, hL.2 ▸ list.rec_on L (by simp)
(by simp [list.map_cons, add_comm] {contextual := tt})⟩)
variable (R)
/-- `closure` forms a Galois insertion with the coercion to set. -/
protected def gi : galois_insertion (@closure R _) coe :=
{ choice := λ s _, closure s,
gc := λ s t, closure_le,
le_l_u := λ s, subset_closure,
choice_eq := λ s h, rfl }
variable {R}
/-- Closure of a subring `S` equals `S`. -/
lemma closure_eq (s : subring R) : closure (s : set R) = s := (subring.gi R).l_u_eq s
@[simp] lemma closure_empty : closure (∅ : set R) = ⊥ := (subring.gi R).gc.l_bot
@[simp] lemma closure_univ : closure (set.univ : set R) = ⊤ := @coe_top R _ ▸ closure_eq ⊤
lemma closure_union (s t : set R) : closure (s ∪ t) = closure s ⊔ closure t :=
(subring.gi R).gc.l_sup
lemma closure_Union {ι} (s : ι → set R) : closure (⋃ i, s i) = ⨆ i, closure (s i) :=
(subring.gi R).gc.l_supr
lemma closure_sUnion (s : set (set R)) : closure (⋃₀ s) = ⨆ t ∈ s, closure t :=
(subring.gi R).gc.l_Sup
lemma map_sup (s t : subring R) (f : R →+* S) : (s ⊔ t).map f = s.map f ⊔ t.map f :=
(gc_map_comap f).l_sup
lemma map_supr {ι : Sort*} (f : R →+* S) (s : ι → subring R) :
(supr s).map f = ⨆ i, (s i).map f :=
(gc_map_comap f).l_supr
lemma comap_inf (s t : subring S) (f : R →+* S) : (s ⊓ t).comap f = s.comap f ⊓ t.comap f :=
(gc_map_comap f).u_inf
lemma comap_infi {ι : Sort*} (f : R →+* S) (s : ι → subring S) :
(infi s).comap f = ⨅ i, (s i).comap f :=
(gc_map_comap f).u_infi
@[simp] lemma map_bot (f : R →+* S) : (⊥ : subring R).map f = ⊥ :=
(gc_map_comap f).l_bot
@[simp] lemma comap_top (f : R →+* S) : (⊤ : subring S).comap f = ⊤ :=
(gc_map_comap f).u_top
/-- Given `subring`s `s`, `t` of rings `R`, `S` respectively, `s.prod t` is `s ×̂ t`
as a subring of `R × S`. -/
def prod (s : subring R) (t : subring S) : subring (R × S) :=
{ carrier := s ×ˢ t,
.. s.to_submonoid.prod t.to_submonoid, .. s.to_add_subgroup.prod t.to_add_subgroup}
@[norm_cast]
lemma coe_prod (s : subring R) (t : subring S) : (s.prod t : set (R × S)) = s ×ˢ t := rfl
lemma mem_prod {s : subring R} {t : subring S} {p : R × S} :
p ∈ s.prod t ↔ p.1 ∈ s ∧ p.2 ∈ t := iff.rfl
@[mono] lemma prod_mono ⦃s₁ s₂ : subring R⦄ (hs : s₁ ≤ s₂) ⦃t₁ t₂ : subring S⦄
(ht : t₁ ≤ t₂) : s₁.prod t₁ ≤ s₂.prod t₂ :=
set.prod_mono hs ht
lemma prod_mono_right (s : subring R) : monotone (λ t : subring S, s.prod t) :=
prod_mono (le_refl s)
lemma prod_mono_left (t : subring S) : monotone (λ s : subring R, s.prod t) :=
λ s₁ s₂ hs, prod_mono hs (le_refl t)
lemma prod_top (s : subring R) :
s.prod (⊤ : subring S) = s.comap (ring_hom.fst R S) :=
ext $ λ x, by simp [mem_prod, monoid_hom.coe_fst]
lemma top_prod (s : subring S) :
(⊤ : subring R).prod s = s.comap (ring_hom.snd R S) :=
ext $ λ x, by simp [mem_prod, monoid_hom.coe_snd]
@[simp]
lemma top_prod_top : (⊤ : subring R).prod (⊤ : subring S) = ⊤ :=
(top_prod _).trans $ comap_top _
/-- Product of subrings is isomorphic to their product as rings. -/
def prod_equiv (s : subring R) (t : subring S) : s.prod t ≃+* s × t :=
{ map_mul' := λ x y, rfl, map_add' := λ x y, rfl, .. equiv.set.prod ↑s ↑t }
/-- The underlying set of a non-empty directed Sup of subrings is just a union of the subrings.
Note that this fails without the directedness assumption (the union of two subrings is
typically not a subring) -/
lemma mem_supr_of_directed {ι} [hι : nonempty ι] {S : ι → subring R} (hS : directed (≤) S)
{x : R} :
x ∈ (⨆ i, S i) ↔ ∃ i, x ∈ S i :=
begin
refine ⟨_, λ ⟨i, hi⟩, (set_like.le_def.1 $ le_supr S i) hi⟩,
let U : subring R := subring.mk' (⋃ i, (S i : set R))
(⨆ i, (S i).to_submonoid) (⨆ i, (S i).to_add_subgroup)
(submonoid.coe_supr_of_directed $ hS.mono_comp _ (λ _ _, id))
(add_subgroup.coe_supr_of_directed $ hS.mono_comp _ (λ _ _, id)),
suffices : (⨆ i, S i) ≤ U, by simpa using @this x,
exact supr_le (λ i x hx, set.mem_Union.2 ⟨i, hx⟩),
end
lemma coe_supr_of_directed {ι} [hι : nonempty ι] {S : ι → subring R} (hS : directed (≤) S) :
((⨆ i, S i : subring R) : set R) = ⋃ i, ↑(S i) :=
set.ext $ λ x, by simp [mem_supr_of_directed hS]
lemma mem_Sup_of_directed_on {S : set (subring R)} (Sne : S.nonempty)
(hS : directed_on (≤) S) {x : R} :
x ∈ Sup S ↔ ∃ s ∈ S, x ∈ s :=
begin
haveI : nonempty S := Sne.to_subtype,
simp only [Sup_eq_supr', mem_supr_of_directed hS.directed_coe, set_coe.exists, subtype.coe_mk]
end
lemma coe_Sup_of_directed_on {S : set (subring R)} (Sne : S.nonempty) (hS : directed_on (≤) S) :
(↑(Sup S) : set R) = ⋃ s ∈ S, ↑s :=
set.ext $ λ x, by simp [mem_Sup_of_directed_on Sne hS]
lemma mem_map_equiv {f : R ≃+* S} {K : subring R} {x : S} :
x ∈ K.map (f : R →+* S) ↔ f.symm x ∈ K :=
@set.mem_image_equiv _ _ ↑K f.to_equiv x
lemma map_equiv_eq_comap_symm (f : R ≃+* S) (K : subring R) :
K.map (f : R →+* S) = K.comap f.symm :=
set_like.coe_injective (f.to_equiv.image_eq_preimage K)
lemma comap_equiv_eq_map_symm (f : R ≃+* S) (K : subring S) :
K.comap (f : R →+* S) = K.map f.symm :=
(map_equiv_eq_comap_symm f.symm K).symm
end subring
namespace ring_hom
variables {s : subring R}
open subring
/-- Restriction of a ring homomorphism to its range interpreted as a subsemiring.
This is the bundled version of `set.range_factorization`. -/
def range_restrict (f : R →+* S) : R →+* f.range :=
f.cod_restrict f.range $ λ x, ⟨x, rfl⟩
@[simp] lemma coe_range_restrict (f : R →+* S) (x : R) : (f.range_restrict x : S) = f x := rfl
lemma range_restrict_surjective (f : R →+* S) : function.surjective f.range_restrict :=
λ ⟨y, hy⟩, let ⟨x, hx⟩ := mem_range.mp hy in ⟨x, subtype.ext hx⟩
lemma range_top_iff_surjective {f : R →+* S} :
f.range = (⊤ : subring S) ↔ function.surjective f :=
set_like.ext'_iff.trans $ iff.trans (by rw [coe_range, coe_top]) set.range_iff_surjective
/-- The range of a surjective ring homomorphism is the whole of the codomain. -/
lemma range_top_of_surjective (f : R →+* S) (hf : function.surjective f) :
f.range = (⊤ : subring S) :=
range_top_iff_surjective.2 hf
/-- The subring of elements `x : R` such that `f x = g x`, i.e.,
the equalizer of f and g as a subring of R -/
def eq_locus (f g : R →+* S) : subring R :=
{ carrier := {x | f x = g x}, .. (f : R →* S).eq_mlocus g, .. (f : R →+ S).eq_locus g }
/-- If two ring homomorphisms are equal on a set, then they are equal on its subring closure. -/
lemma eq_on_set_closure {f g : R →+* S} {s : set R} (h : set.eq_on f g s) :
set.eq_on f g (closure s) :=
show closure s ≤ f.eq_locus g, from closure_le.2 h
lemma eq_of_eq_on_set_top {f g : R →+* S} (h : set.eq_on f g (⊤ : subring R)) :
f = g :=
ext $ λ x, h trivial
lemma eq_of_eq_on_set_dense {s : set R} (hs : closure s = ⊤) {f g : R →+* S} (h : s.eq_on f g) :
f = g :=
eq_of_eq_on_set_top $ hs ▸ eq_on_set_closure h
lemma closure_preimage_le (f : R →+* S) (s : set S) :
closure (f ⁻¹' s) ≤ (closure s).comap f :=
closure_le.2 $ λ x hx, set_like.mem_coe.2 $ mem_comap.2 $ subset_closure hx
/-- The image under a ring homomorphism of the subring generated by a set equals
the subring generated by the image of the set. -/
lemma map_closure (f : R →+* S) (s : set R) :
(closure s).map f = closure (f '' s) :=
le_antisymm
(map_le_iff_le_comap.2 $ le_trans (closure_mono $ set.subset_preimage_image _ _)
(closure_preimage_le _ _))
(closure_le.2 $ set.image_subset _ subset_closure)
end ring_hom
namespace subring
open ring_hom
/-- The ring homomorphism associated to an inclusion of subrings. -/
def inclusion {S T : subring R} (h : S ≤ T) : S →+* T :=
S.subtype.cod_restrict _ (λ x, h x.2)
@[simp] lemma range_subtype (s : subring R) : s.subtype.range = s :=
set_like.coe_injective $ (coe_srange _).trans subtype.range_coe
@[simp]
lemma range_fst : (fst R S).srange = ⊤ :=
(fst R S).srange_top_of_surjective $ prod.fst_surjective
@[simp]
lemma range_snd : (snd R S).srange = ⊤ :=
(snd R S).srange_top_of_surjective $ prod.snd_surjective
@[simp]
lemma prod_bot_sup_bot_prod (s : subring R) (t : subring S) :
(s.prod ⊥) ⊔ (prod ⊥ t) = s.prod t :=
le_antisymm (sup_le (prod_mono_right s bot_le) (prod_mono_left t bot_le)) $
assume p hp, prod.fst_mul_snd p ▸ mul_mem
((le_sup_left : s.prod ⊥ ≤ s.prod ⊥ ⊔ prod ⊥ t) ⟨hp.1, set_like.mem_coe.2 $ one_mem ⊥⟩)
((le_sup_right : prod ⊥ t ≤ s.prod ⊥ ⊔ prod ⊥ t) ⟨set_like.mem_coe.2 $ one_mem ⊥, hp.2⟩)
end subring
namespace ring_equiv
variables {s t : subring R}
/-- Makes the identity isomorphism from a proof two subrings of a multiplicative
monoid are equal. -/
def subring_congr (h : s = t) : s ≃+* t :=
{ map_mul' := λ _ _, rfl, map_add' := λ _ _, rfl, ..equiv.set_congr $ congr_arg _ h }
/-- Restrict a ring homomorphism with a left inverse to a ring isomorphism to its
`ring_hom.range`. -/
def of_left_inverse {g : S → R} {f : R →+* S} (h : function.left_inverse g f) :
R ≃+* f.range :=
{ to_fun := λ x, f.range_restrict x,
inv_fun := λ x, (g ∘ f.range.subtype) x,
left_inv := h,
right_inv := λ x, subtype.ext $
let ⟨x', hx'⟩ := ring_hom.mem_range.mp x.prop in
show f (g x) = x, by rw [←hx', h x'],
..f.range_restrict }
@[simp] lemma of_left_inverse_apply
{g : S → R} {f : R →+* S} (h : function.left_inverse g f) (x : R) :
↑(of_left_inverse h x) = f x := rfl
@[simp] lemma of_left_inverse_symm_apply
{g : S → R} {f : R →+* S} (h : function.left_inverse g f) (x : f.range) :
(of_left_inverse h).symm x = g x := rfl
/-- Given an equivalence `e : R ≃+* S` of rings and a subring `s` of `R`,
`subring_equiv_map e s` is the induced equivalence between `s` and `s.map e` -/
@[simps] def subring_map (e : R ≃+* S) :
s ≃+* s.map e.to_ring_hom :=
e.subsemiring_map s.to_subsemiring
end ring_equiv
namespace subring
variables {s : set R}
local attribute [reducible] closure
@[elab_as_eliminator]
protected theorem in_closure.rec_on {C : R → Prop} {x : R} (hx : x ∈ closure s)
(h1 : C 1) (hneg1 : C (-1)) (hs : ∀ z ∈ s, ∀ n, C n → C (z * n))
(ha : ∀ {x y}, C x → C y → C (x + y)) : C x :=
begin
have h0 : C 0 := add_neg_self (1:R) ▸ ha h1 hneg1,
rcases exists_list_of_mem_closure hx with ⟨L, HL, rfl⟩, clear hx,
induction L with hd tl ih, { exact h0 },
rw list.forall_mem_cons at HL,
suffices : C (list.prod hd),
{ rw [list.map_cons, list.sum_cons],
exact ha this (ih HL.2) },
replace HL := HL.1, clear ih tl,
rsuffices ⟨L, HL', HP | HP⟩ : ∃ L : list R, (∀ x ∈ L, x ∈ s) ∧
(list.prod hd = list.prod L ∨ list.prod hd = -list.prod L),
{ rw HP, clear HP HL hd, induction L with hd tl ih, { exact h1 },
rw list.forall_mem_cons at HL',
rw list.prod_cons,
exact hs _ HL'.1 _ (ih HL'.2) },
{ rw HP, clear HP HL hd, induction L with hd tl ih, { exact hneg1 },
rw [list.prod_cons, neg_mul_eq_mul_neg],
rw list.forall_mem_cons at HL',
exact hs _ HL'.1 _ (ih HL'.2) },
induction hd with hd tl ih,
{ exact ⟨[], list.forall_mem_nil _, or.inl rfl⟩ },
rw list.forall_mem_cons at HL,
rcases ih HL.2 with ⟨L, HL', HP | HP⟩; cases HL.1 with hhd hhd,
{ exact ⟨hd :: L, list.forall_mem_cons.2 ⟨hhd, HL'⟩, or.inl $
by rw [list.prod_cons, list.prod_cons, HP]⟩ },
{ exact ⟨L, HL', or.inr $ by rw [list.prod_cons, hhd, neg_one_mul, HP]⟩ },
{ exact ⟨hd :: L, list.forall_mem_cons.2 ⟨hhd, HL'⟩, or.inr $
by rw [list.prod_cons, list.prod_cons, HP, neg_mul_eq_mul_neg]⟩ },
{ exact ⟨L, HL', or.inl $ by rw [list.prod_cons, hhd, HP, neg_one_mul, neg_neg]⟩ }
end
lemma closure_preimage_le (f : R →+* S) (s : set S) :
closure (f ⁻¹' s) ≤ (closure s).comap f :=
closure_le.2 $ λ x hx, set_like.mem_coe.2 $ mem_comap.2 $ subset_closure hx
end subring
lemma add_subgroup.int_mul_mem {G : add_subgroup R} (k : ℤ) {g : R} (h : g ∈ G) :
(k : R) * g ∈ G :=
by { convert add_subgroup.zsmul_mem G h k, simp }
/-! ## Actions by `subring`s
These are just copies of the definitions about `subsemiring` starting from
`subsemiring.mul_action`.
When `R` is commutative, `algebra.of_subring` provides a stronger result than those found in
this file, which uses the same scalar action.
-/
section actions
namespace subring
variables {α β : Type*}
/-- The action by a subring is the action by the underlying ring. -/
instance [has_smul R α] (S : subring R) : has_smul S α := S.to_subsemiring.has_smul
lemma smul_def [has_smul R α] {S : subring R} (g : S) (m : α) : g • m = (g : R) • m := rfl
instance smul_comm_class_left
[has_smul R β] [has_smul α β] [smul_comm_class R α β] (S : subring R) :
smul_comm_class S α β :=
S.to_subsemiring.smul_comm_class_left
instance smul_comm_class_right
[has_smul α β] [has_smul R β] [smul_comm_class α R β] (S : subring R) :
smul_comm_class α S β :=
S.to_subsemiring.smul_comm_class_right
/-- Note that this provides `is_scalar_tower S R R` which is needed by `smul_mul_assoc`. -/
instance
[has_smul α β] [has_smul R α] [has_smul R β] [is_scalar_tower R α β] (S : subring R) :
is_scalar_tower S α β :=
S.to_subsemiring.is_scalar_tower
instance [has_smul R α] [has_faithful_smul R α] (S : subring R) :
has_faithful_smul S α :=
S.to_subsemiring.has_faithful_smul
/-- The action by a subring is the action by the underlying ring. -/
instance [mul_action R α] (S : subring R) : mul_action S α :=
S.to_subsemiring.mul_action
/-- The action by a subring is the action by the underlying ring. -/
instance [add_monoid α] [distrib_mul_action R α] (S : subring R) : distrib_mul_action S α :=
S.to_subsemiring.distrib_mul_action
/-- The action by a subring is the action by the underlying ring. -/
instance [monoid α] [mul_distrib_mul_action R α] (S : subring R) : mul_distrib_mul_action S α :=
S.to_subsemiring.mul_distrib_mul_action
/-- The action by a subring is the action by the underlying ring. -/
instance [has_zero α] [smul_with_zero R α] (S : subring R) : smul_with_zero S α :=
S.to_subsemiring.smul_with_zero
/-- The action by a subring is the action by the underlying ring. -/
instance [has_zero α] [mul_action_with_zero R α] (S : subring R) : mul_action_with_zero S α :=
S.to_subsemiring.mul_action_with_zero
/-- The action by a subring is the action by the underlying ring. -/
instance [add_comm_monoid α] [module R α] (S : subring R) : module S α :=
S.to_subsemiring.module
/-- The action by a subsemiring is the action by the underlying ring. -/
instance [semiring α] [mul_semiring_action R α] (S : subring R) : mul_semiring_action S α :=
S.to_submonoid.mul_semiring_action
/-- The center of a semiring acts commutatively on that semiring. -/
instance center.smul_comm_class_left : smul_comm_class (center R) R R :=
subsemiring.center.smul_comm_class_left
/-- The center of a semiring acts commutatively on that semiring. -/
instance center.smul_comm_class_right : smul_comm_class R (center R) R :=
subsemiring.center.smul_comm_class_right
end subring
end actions
-- while this definition is not about subrings, this is the earliest we have
-- both ordered ring structures and submonoids available
/-- The subgroup of positive units of a linear ordered semiring. -/
def units.pos_subgroup (R : Type*) [linear_ordered_semiring R] :
subgroup Rˣ :=
{ carrier := {x | (0 : R) < x},
inv_mem' := λ x, units.inv_pos.mpr,
..(pos_submonoid R).comap (units.coe_hom R)}
@[simp] lemma units.mem_pos_subgroup {R : Type*} [linear_ordered_semiring R]
(u : Rˣ) : u ∈ units.pos_subgroup R ↔ (0 : R) < u := iff.rfl
|
a8ec15d6f8eea3f0140901bc581032ceae1c78a4 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/analysis/normed_space/finite_dimension.lean | 5b662e08238c3c15b7d559fac8d20687738684f4 | [
"Apache-2.0"
] | permissive | jcommelin/mathlib | d8456447c36c176e14d96d9e76f39841f69d2d9b | ee8279351a2e434c2852345c51b728d22af5a156 | refs/heads/master | 1,664,782,136,488 | 1,663,638,983,000 | 1,663,638,983,000 | 132,563,656 | 0 | 0 | Apache-2.0 | 1,663,599,929,000 | 1,525,760,539,000 | Lean | UTF-8 | Lean | false | false | 36,166 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import analysis.asymptotics.asymptotic_equivalent
import analysis.normed_space.affine_isometry
import analysis.normed_space.operator_norm
import analysis.normed_space.riesz_lemma
import linear_algebra.matrix.to_lin
import topology.algebra.module.finite_dimension
import topology.instances.matrix
/-!
# Finite dimensional normed spaces over complete fields
Over a complete nontrivially normed field, in finite dimension, all norms are equivalent and all
linear maps are continuous. Moreover, a finite-dimensional subspace is always complete and closed.
## Main results:
* `finite_dimensional.complete` : a finite-dimensional space over a complete field is complete. This
is not registered as an instance, as the field would be an unknown metavariable in typeclass
resolution.
* `submodule.closed_of_finite_dimensional` : a finite-dimensional subspace over a complete field is
closed
* `finite_dimensional.proper` : a finite-dimensional space over a proper field is proper. This
is not registered as an instance, as the field would be an unknown metavariable in typeclass
resolution. It is however registered as an instance for `𝕜 = ℝ` and `𝕜 = ℂ`. As properness
implies completeness, there is no need to also register `finite_dimensional.complete` on `ℝ` or
`ℂ`.
* `finite_dimensional_of_is_compact_closed_ball`: Riesz' theorem: if the closed unit ball is
compact, then the space is finite-dimensional.
## Implementation notes
The fact that all norms are equivalent is not written explicitly, as it would mean having two norms
on a single space, which is not the way type classes work. However, if one has a
finite-dimensional vector space `E` with a norm, and a copy `E'` of this type with another norm,
then the identities from `E` to `E'` and from `E'`to `E` are continuous thanks to
`linear_map.continuous_of_finite_dimensional`. This gives the desired norm equivalence.
-/
universes u v w x
noncomputable theory
open set finite_dimensional topological_space filter asymptotics
open_locale classical big_operators filter topological_space asymptotics nnreal
namespace linear_isometry
open linear_map
variables {R : Type*} [semiring R]
variables {F E₁ : Type*} [seminormed_add_comm_group F]
[normed_add_comm_group E₁] [module R E₁]
variables {R₁ : Type*} [field R₁] [module R₁ E₁] [module R₁ F]
[finite_dimensional R₁ E₁] [finite_dimensional R₁ F]
/-- A linear isometry between finite dimensional spaces of equal dimension can be upgraded
to a linear isometry equivalence. -/
def to_linear_isometry_equiv
(li : E₁ →ₗᵢ[R₁] F) (h : finrank R₁ E₁ = finrank R₁ F) : E₁ ≃ₗᵢ[R₁] F :=
{ to_linear_equiv :=
li.to_linear_map.linear_equiv_of_injective li.injective h,
norm_map' := li.norm_map' }
@[simp] lemma coe_to_linear_isometry_equiv
(li : E₁ →ₗᵢ[R₁] F) (h : finrank R₁ E₁ = finrank R₁ F) :
(li.to_linear_isometry_equiv h : E₁ → F) = li := rfl
@[simp] lemma to_linear_isometry_equiv_apply
(li : E₁ →ₗᵢ[R₁] F) (h : finrank R₁ E₁ = finrank R₁ F) (x : E₁) :
(li.to_linear_isometry_equiv h) x = li x := rfl
end linear_isometry
namespace affine_isometry
open affine_map
variables {𝕜 : Type*} {V₁ V₂ : Type*} {P₁ P₂ : Type*}
[normed_field 𝕜]
[normed_add_comm_group V₁] [seminormed_add_comm_group V₂]
[normed_space 𝕜 V₁] [normed_space 𝕜 V₂]
[metric_space P₁] [pseudo_metric_space P₂]
[normed_add_torsor V₁ P₁] [normed_add_torsor V₂ P₂]
variables [finite_dimensional 𝕜 V₁] [finite_dimensional 𝕜 V₂]
/-- An affine isometry between finite dimensional spaces of equal dimension can be upgraded
to an affine isometry equivalence. -/
def to_affine_isometry_equiv [inhabited P₁]
(li : P₁ →ᵃⁱ[𝕜] P₂) (h : finrank 𝕜 V₁ = finrank 𝕜 V₂) : P₁ ≃ᵃⁱ[𝕜] P₂ :=
affine_isometry_equiv.mk' li (li.linear_isometry.to_linear_isometry_equiv h) (arbitrary P₁)
(λ p, by simp)
@[simp] lemma coe_to_affine_isometry_equiv [inhabited P₁]
(li : P₁ →ᵃⁱ[𝕜] P₂) (h : finrank 𝕜 V₁ = finrank 𝕜 V₂) :
(li.to_affine_isometry_equiv h : P₁ → P₂) = li := rfl
@[simp] lemma to_affine_isometry_equiv_apply [inhabited P₁]
(li : P₁ →ᵃⁱ[𝕜] P₂) (h : finrank 𝕜 V₁ = finrank 𝕜 V₂) (x : P₁) :
(li.to_affine_isometry_equiv h) x = li x := rfl
end affine_isometry
section complete_field
variables {𝕜 : Type u} [nontrivially_normed_field 𝕜]
{E : Type v} [normed_add_comm_group E] [normed_space 𝕜 E]
{F : Type w} [normed_add_comm_group F] [normed_space 𝕜 F]
{F' : Type x} [add_comm_group F'] [module 𝕜 F'] [topological_space F']
[topological_add_group F'] [has_continuous_smul 𝕜 F']
[complete_space 𝕜]
section affine
variables {PE PF : Type*} [metric_space PE] [normed_add_torsor E PE] [metric_space PF]
[normed_add_torsor F PF] [finite_dimensional 𝕜 E]
include E F
theorem affine_map.continuous_of_finite_dimensional (f : PE →ᵃ[𝕜] PF) : continuous f :=
affine_map.continuous_linear_iff.1 f.linear.continuous_of_finite_dimensional
theorem affine_equiv.continuous_of_finite_dimensional (f : PE ≃ᵃ[𝕜] PF) : continuous f :=
f.to_affine_map.continuous_of_finite_dimensional
/-- Reinterpret an affine equivalence as a homeomorphism. -/
def affine_equiv.to_homeomorph_of_finite_dimensional (f : PE ≃ᵃ[𝕜] PF) : PE ≃ₜ PF :=
{ to_equiv := f.to_equiv,
continuous_to_fun := f.continuous_of_finite_dimensional,
continuous_inv_fun :=
begin
haveI : finite_dimensional 𝕜 F, from f.linear.finite_dimensional,
exact f.symm.continuous_of_finite_dimensional
end }
@[simp] lemma affine_equiv.coe_to_homeomorph_of_finite_dimensional (f : PE ≃ᵃ[𝕜] PF) :
⇑f.to_homeomorph_of_finite_dimensional = f := rfl
@[simp] lemma affine_equiv.coe_to_homeomorph_of_finite_dimensional_symm (f : PE ≃ᵃ[𝕜] PF) :
⇑f.to_homeomorph_of_finite_dimensional.symm = f.symm := rfl
end affine
lemma continuous_linear_map.continuous_det :
continuous (λ (f : E →L[𝕜] E), f.det) :=
begin
change continuous (λ (f : E →L[𝕜] E), (f : E →ₗ[𝕜] E).det),
by_cases h : ∃ (s : finset E), nonempty (basis ↥s 𝕜 E),
{ rcases h with ⟨s, ⟨b⟩⟩,
haveI : finite_dimensional 𝕜 E := finite_dimensional.of_fintype_basis b,
simp_rw linear_map.det_eq_det_to_matrix_of_finset b,
refine continuous.matrix_det _,
exact ((linear_map.to_matrix b b).to_linear_map.comp
(continuous_linear_map.coe_lm 𝕜)).continuous_of_finite_dimensional },
{ unfold linear_map.det,
simpa only [h, monoid_hom.one_apply, dif_neg, not_false_iff] using continuous_const }
end
/-- Any `K`-Lipschitz map from a subset `s` of a metric space `α` to a finite-dimensional real
vector space `E'` can be extended to a Lipschitz map on the whole space `α`, with a slightly worse
constant `C * K` where `C` only depends on `E'`. We record a working value for this constant `C`
as `lipschitz_extension_constant E'`. -/
@[irreducible] def lipschitz_extension_constant
(E' : Type*) [normed_add_comm_group E'] [normed_space ℝ E'] [finite_dimensional ℝ E'] : ℝ≥0 :=
let A := (basis.of_vector_space ℝ E').equiv_fun.to_continuous_linear_equiv in
max (∥A.symm.to_continuous_linear_map∥₊ * ∥A.to_continuous_linear_map∥₊) 1
lemma lipschitz_extension_constant_pos
(E' : Type*) [normed_add_comm_group E'] [normed_space ℝ E'] [finite_dimensional ℝ E'] :
0 < lipschitz_extension_constant E' :=
by { rw lipschitz_extension_constant, exact zero_lt_one.trans_le (le_max_right _ _) }
/-- Any `K`-Lipschitz map from a subset `s` of a metric space `α` to a finite-dimensional real
vector space `E'` can be extended to a Lipschitz map on the whole space `α`, with a slightly worse
constant `lipschitz_extension_constant E' * K`. -/
theorem lipschitz_on_with.extend_finite_dimension
{α : Type*} [pseudo_metric_space α]
{E' : Type*} [normed_add_comm_group E'] [normed_space ℝ E'] [finite_dimensional ℝ E']
{s : set α} {f : α → E'} {K : ℝ≥0} (hf : lipschitz_on_with K f s) :
∃ (g : α → E'), lipschitz_with (lipschitz_extension_constant E' * K) g ∧ eq_on f g s :=
begin
/- This result is already known for spaces `ι → ℝ`. We use a continuous linear equiv between
`E'` and such a space to transfer the result to `E'`. -/
let ι : Type* := basis.of_vector_space_index ℝ E',
let A := (basis.of_vector_space ℝ E').equiv_fun.to_continuous_linear_equiv,
have LA : lipschitz_with (∥A.to_continuous_linear_map∥₊) A, by apply A.lipschitz,
have L : lipschitz_on_with (∥A.to_continuous_linear_map∥₊ * K) (A ∘ f) s :=
LA.comp_lipschitz_on_with hf,
obtain ⟨g, hg, gs⟩ : ∃ g : α → (ι → ℝ), lipschitz_with (∥A.to_continuous_linear_map∥₊ * K) g ∧
eq_on (A ∘ f) g s := L.extend_pi,
refine ⟨A.symm ∘ g, _, _⟩,
{ have LAsymm : lipschitz_with (∥A.symm.to_continuous_linear_map∥₊) A.symm,
by apply A.symm.lipschitz,
apply (LAsymm.comp hg).weaken,
rw [lipschitz_extension_constant, ← mul_assoc],
refine mul_le_mul' (le_max_left _ _) le_rfl },
{ assume x hx,
have : A (f x) = g x := gs hx,
simp only [(∘), ← this, A.symm_apply_apply] }
end
lemma linear_map.exists_antilipschitz_with [finite_dimensional 𝕜 E] (f : E →ₗ[𝕜] F)
(hf : f.ker = ⊥) : ∃ K > 0, antilipschitz_with K f :=
begin
cases subsingleton_or_nontrivial E; resetI,
{ exact ⟨1, zero_lt_one, antilipschitz_with.of_subsingleton⟩ },
{ rw linear_map.ker_eq_bot at hf,
let e : E ≃L[𝕜] f.range := (linear_equiv.of_injective f hf).to_continuous_linear_equiv,
exact ⟨_, e.nnnorm_symm_pos, e.antilipschitz⟩ }
end
protected lemma linear_independent.eventually {ι} [finite ι] {f : ι → E}
(hf : linear_independent 𝕜 f) : ∀ᶠ g in 𝓝 f, linear_independent 𝕜 g :=
begin
casesI nonempty_fintype ι,
simp only [fintype.linear_independent_iff'] at hf ⊢,
rcases linear_map.exists_antilipschitz_with _ hf with ⟨K, K0, hK⟩,
have : tendsto (λ g : ι → E, ∑ i, ∥g i - f i∥) (𝓝 f) (𝓝 $ ∑ i, ∥f i - f i∥),
from tendsto_finset_sum _ (λ i hi, tendsto.norm $
((continuous_apply i).tendsto _).sub tendsto_const_nhds),
simp only [sub_self, norm_zero, finset.sum_const_zero] at this,
refine (this.eventually (gt_mem_nhds $ inv_pos.2 K0)).mono (λ g hg, _),
replace hg : ∑ i, ∥g i - f i∥₊ < K⁻¹, by { rw ← nnreal.coe_lt_coe, push_cast, exact hg },
rw linear_map.ker_eq_bot,
refine (hK.add_sub_lipschitz_with (lipschitz_with.of_dist_le_mul $ λ v u, _) hg).injective,
simp only [dist_eq_norm, linear_map.lsum_apply, pi.sub_apply, linear_map.sum_apply,
linear_map.comp_apply, linear_map.proj_apply, linear_map.smul_right_apply, linear_map.id_apply,
← finset.sum_sub_distrib, ← smul_sub, ← sub_smul, nnreal.coe_sum, coe_nnnorm, finset.sum_mul],
refine norm_sum_le_of_le _ (λ i _, _),
rw [norm_smul, mul_comm],
exact mul_le_mul_of_nonneg_left (norm_le_pi_norm (v - u) i) (norm_nonneg _)
end
lemma is_open_set_of_linear_independent {ι : Type*} [finite ι] :
is_open {f : ι → E | linear_independent 𝕜 f} :=
is_open_iff_mem_nhds.2 $ λ f, linear_independent.eventually
lemma is_open_set_of_nat_le_rank (n : ℕ) : is_open {f : E →L[𝕜] F | ↑n ≤ rank (f : E →ₗ[𝕜] F)} :=
begin
simp only [le_rank_iff_exists_linear_independent_finset, set_of_exists, ← exists_prop],
refine is_open_bUnion (λ t ht, _),
have : continuous (λ f : E →L[𝕜] F, (λ x : (t : set E), f x)),
from continuous_pi (λ x, (continuous_linear_map.apply 𝕜 F (x : E)).continuous),
exact is_open_set_of_linear_independent.preimage this
end
/-- Two finite-dimensional normed spaces are continuously linearly equivalent if they have the same
(finite) dimension. -/
theorem finite_dimensional.nonempty_continuous_linear_equiv_of_finrank_eq
[finite_dimensional 𝕜 E] [finite_dimensional 𝕜 F] (cond : finrank 𝕜 E = finrank 𝕜 F) :
nonempty (E ≃L[𝕜] F) :=
(nonempty_linear_equiv_of_finrank_eq cond).map linear_equiv.to_continuous_linear_equiv
/-- Two finite-dimensional normed spaces are continuously linearly equivalent if and only if they
have the same (finite) dimension. -/
theorem finite_dimensional.nonempty_continuous_linear_equiv_iff_finrank_eq
[finite_dimensional 𝕜 E] [finite_dimensional 𝕜 F] :
nonempty (E ≃L[𝕜] F) ↔ finrank 𝕜 E = finrank 𝕜 F :=
⟨ λ ⟨h⟩, h.to_linear_equiv.finrank_eq,
λ h, finite_dimensional.nonempty_continuous_linear_equiv_of_finrank_eq h ⟩
/-- A continuous linear equivalence between two finite-dimensional normed spaces of the same
(finite) dimension. -/
def continuous_linear_equiv.of_finrank_eq [finite_dimensional 𝕜 E] [finite_dimensional 𝕜 F]
(cond : finrank 𝕜 E = finrank 𝕜 F) :
E ≃L[𝕜] F :=
(linear_equiv.of_finrank_eq E F cond).to_continuous_linear_equiv
variables {ι : Type*} [fintype ι]
/-- Construct a continuous linear map given the value at a finite basis. -/
def basis.constrL (v : basis ι 𝕜 E) (f : ι → F) :
E →L[𝕜] F :=
by haveI : finite_dimensional 𝕜 E := finite_dimensional.of_fintype_basis v;
exact (v.constr 𝕜 f).to_continuous_linear_map
@[simp, norm_cast] lemma basis.coe_constrL (v : basis ι 𝕜 E) (f : ι → F) :
(v.constrL f : E →ₗ[𝕜] F) = v.constr 𝕜 f := rfl
/-- The continuous linear equivalence between a vector space over `𝕜` with a finite basis and
functions from its basis indexing type to `𝕜`. -/
def basis.equiv_funL (v : basis ι 𝕜 E) : E ≃L[𝕜] (ι → 𝕜) :=
{ continuous_to_fun := begin
haveI : finite_dimensional 𝕜 E := finite_dimensional.of_fintype_basis v,
exact v.equiv_fun.to_linear_map.continuous_of_finite_dimensional,
end,
continuous_inv_fun := begin
change continuous v.equiv_fun.symm.to_fun,
exact v.equiv_fun.symm.to_linear_map.continuous_of_finite_dimensional,
end,
..v.equiv_fun }
@[simp] lemma basis.constrL_apply (v : basis ι 𝕜 E) (f : ι → F) (e : E) :
(v.constrL f) e = ∑ i, (v.equiv_fun e i) • f i :=
v.constr_apply_fintype 𝕜 _ _
@[simp] lemma basis.constrL_basis (v : basis ι 𝕜 E) (f : ι → F) (i : ι) :
(v.constrL f) (v i) = f i :=
v.constr_basis 𝕜 _ _
lemma basis.op_nnnorm_le {ι : Type*} [fintype ι] (v : basis ι 𝕜 E) {u : E →L[𝕜] F} (M : ℝ≥0)
(hu : ∀ i, ∥u (v i)∥₊ ≤ M) :
∥u∥₊ ≤ fintype.card ι • ∥v.equiv_funL.to_continuous_linear_map∥₊ * M :=
u.op_nnnorm_le_bound _ $ λ e, begin
set φ := v.equiv_funL.to_continuous_linear_map,
calc
∥u e∥₊ = ∥u (∑ i, v.equiv_fun e i • v i)∥₊ : by rw [v.sum_equiv_fun]
... = ∥∑ i, (v.equiv_fun e i) • (u $ v i)∥₊ : by simp [u.map_sum, linear_map.map_smul]
... ≤ ∑ i, ∥(v.equiv_fun e i) • (u $ v i)∥₊ : nnnorm_sum_le _ _
... = ∑ i, ∥v.equiv_fun e i∥₊ * ∥u (v i)∥₊ : by simp only [nnnorm_smul]
... ≤ ∑ i, ∥v.equiv_fun e i∥₊ * M : finset.sum_le_sum (λ i hi,
mul_le_mul_of_nonneg_left (hu i) (zero_le _))
... = (∑ i, ∥v.equiv_fun e i∥₊) * M : finset.sum_mul.symm
... ≤ fintype.card ι • (∥φ∥₊ * ∥e∥₊) * M :
(suffices _, from mul_le_mul_of_nonneg_right this (zero_le M),
calc ∑ i, ∥v.equiv_fun e i∥₊
≤ fintype.card ι • ∥φ e∥₊ : pi.sum_nnnorm_apply_le_nnnorm _
... ≤ fintype.card ι • (∥φ∥₊ * ∥e∥₊) : nsmul_le_nsmul_of_le_right (φ.le_op_nnnorm e) _)
... = fintype.card ι • ∥φ∥₊ * M * ∥e∥₊ : by simp only [smul_mul_assoc, mul_right_comm],
end
lemma basis.op_norm_le {ι : Type*} [fintype ι] (v : basis ι 𝕜 E) {u : E →L[𝕜] F} {M : ℝ}
(hM : 0 ≤ M) (hu : ∀ i, ∥u (v i)∥ ≤ M) :
∥u∥ ≤ fintype.card ι • ∥v.equiv_funL.to_continuous_linear_map∥ * M :=
by simpa using nnreal.coe_le_coe.mpr (v.op_nnnorm_le ⟨M, hM⟩ hu)
/-- A weaker version of `basis.op_nnnorm_le` that abstracts away the value of `C`. -/
lemma basis.exists_op_nnnorm_le {ι : Type*} [finite ι] (v : basis ι 𝕜 E) :
∃ C > (0 : ℝ≥0), ∀ {u : E →L[𝕜] F} (M : ℝ≥0), (∀ i, ∥u (v i)∥₊ ≤ M) → ∥u∥₊ ≤ C*M :=
by casesI nonempty_fintype ι; exact
⟨max (fintype.card ι • ∥v.equiv_funL.to_continuous_linear_map∥₊) 1,
zero_lt_one.trans_le (le_max_right _ _),
λ u M hu, (v.op_nnnorm_le M hu).trans $ mul_le_mul_of_nonneg_right (le_max_left _ _) (zero_le M)⟩
/-- A weaker version of `basis.op_norm_le` that abstracts away the value of `C`. -/
lemma basis.exists_op_norm_le {ι : Type*} [finite ι] (v : basis ι 𝕜 E) :
∃ C > (0 : ℝ), ∀ {u : E →L[𝕜] F} {M : ℝ}, 0 ≤ M → (∀ i, ∥u (v i)∥ ≤ M) → ∥u∥ ≤ C*M :=
let ⟨C, hC, h⟩ := v.exists_op_nnnorm_le in ⟨C, hC, λ u, subtype.forall'.mpr h⟩
instance [finite_dimensional 𝕜 E] [second_countable_topology F] :
second_countable_topology (E →L[𝕜] F) :=
begin
set d := finite_dimensional.finrank 𝕜 E,
suffices :
∀ ε > (0 : ℝ), ∃ n : (E →L[𝕜] F) → fin d → ℕ, ∀ (f g : E →L[𝕜] F), n f = n g → dist f g ≤ ε,
from metric.second_countable_of_countable_discretization
(λ ε ε_pos, ⟨fin d → ℕ, by apply_instance, this ε ε_pos⟩),
intros ε ε_pos,
obtain ⟨u : ℕ → F, hu : dense_range u⟩ := exists_dense_seq F,
let v := finite_dimensional.fin_basis 𝕜 E,
obtain ⟨C : ℝ, C_pos : 0 < C,
hC : ∀ {φ : E →L[𝕜] F} {M : ℝ}, 0 ≤ M → (∀ i, ∥φ (v i)∥ ≤ M) → ∥φ∥ ≤ C * M⟩ :=
v.exists_op_norm_le,
have h_2C : 0 < 2*C := mul_pos zero_lt_two C_pos,
have hε2C : 0 < ε/(2*C) := div_pos ε_pos h_2C,
have : ∀ φ : E →L[𝕜] F, ∃ n : fin d → ℕ, ∥φ - (v.constrL $ u ∘ n)∥ ≤ ε/2,
{ intros φ,
have : ∀ i, ∃ n, ∥φ (v i) - u n∥ ≤ ε/(2*C),
{ simp only [norm_sub_rev],
intro i,
have : φ (v i) ∈ closure (range u) := hu _,
obtain ⟨n, hn⟩ : ∃ n, ∥u n - φ (v i)∥ < ε / (2 * C),
{ rw mem_closure_iff_nhds_basis metric.nhds_basis_ball at this,
specialize this (ε/(2*C)) hε2C,
simpa [dist_eq_norm] },
exact ⟨n, le_of_lt hn⟩ },
choose n hn using this,
use n,
replace hn : ∀ i : fin d, ∥(φ - (v.constrL $ u ∘ n)) (v i)∥ ≤ ε / (2 * C), by simp [hn],
have : C * (ε / (2 * C)) = ε/2,
{ rw [eq_div_iff (two_ne_zero : (2 : ℝ) ≠ 0), mul_comm, ← mul_assoc,
mul_div_cancel' _ (ne_of_gt h_2C)] },
specialize hC (le_of_lt hε2C) hn,
rwa this at hC },
choose n hn using this,
set Φ := λ φ : E →L[𝕜] F, (v.constrL $ u ∘ (n φ)),
change ∀ z, dist z (Φ z) ≤ ε/2 at hn,
use n,
intros x y hxy,
calc dist x y ≤ dist x (Φ x) + dist (Φ x) y : dist_triangle _ _ _
... = dist x (Φ x) + dist y (Φ y) : by simp [Φ, hxy, dist_comm]
... ≤ ε : by linarith [hn x, hn y]
end
/-- Any finite-dimensional vector space over a complete field is complete.
We do not register this as an instance to avoid an instance loop when trying to prove the
completeness of `𝕜`, and the search for `𝕜` as an unknown metavariable. Declare the instance
explicitly when needed. -/
variables (𝕜 E)
lemma finite_dimensional.complete [finite_dimensional 𝕜 E] : complete_space E :=
begin
set e := continuous_linear_equiv.of_finrank_eq (@finrank_fin_fun 𝕜 _ (finrank 𝕜 E)).symm,
have : uniform_embedding e.to_linear_equiv.to_equiv.symm := e.symm.uniform_embedding,
exact (complete_space_congr this).1 (by apply_instance)
end
variables {𝕜 E}
/-- A finite-dimensional subspace is complete. -/
lemma submodule.complete_of_finite_dimensional (s : submodule 𝕜 E) [finite_dimensional 𝕜 s] :
is_complete (s : set E) :=
complete_space_coe_iff_is_complete.1 (finite_dimensional.complete 𝕜 s)
/-- A finite-dimensional subspace is closed. -/
lemma submodule.closed_of_finite_dimensional (s : submodule 𝕜 E) [finite_dimensional 𝕜 s] :
is_closed (s : set E) :=
s.complete_of_finite_dimensional.is_closed
lemma affine_subspace.closed_of_finite_dimensional {P : Type*} [metric_space P]
[normed_add_torsor E P] (s : affine_subspace 𝕜 P) [finite_dimensional 𝕜 s.direction] :
is_closed (s : set P) :=
s.is_closed_direction_iff.mp s.direction.closed_of_finite_dimensional
section riesz
/-- In an infinite dimensional space, given a finite number of points, one may find a point
with norm at most `R` which is at distance at least `1` of all these points. -/
theorem exists_norm_le_le_norm_sub_of_finset {c : 𝕜} (hc : 1 < ∥c∥) {R : ℝ} (hR : ∥c∥ < R)
(h : ¬ (finite_dimensional 𝕜 E)) (s : finset E) :
∃ (x : E), ∥x∥ ≤ R ∧ ∀ y ∈ s, 1 ≤ ∥y - x∥ :=
begin
let F := submodule.span 𝕜 (s : set E),
haveI : finite_dimensional 𝕜 F := module.finite_def.2
((submodule.fg_top _).2 (submodule.fg_def.2 ⟨s, finset.finite_to_set _, rfl⟩)),
have Fclosed : is_closed (F : set E) := submodule.closed_of_finite_dimensional _,
have : ∃ x, x ∉ F,
{ contrapose! h,
have : (⊤ : submodule 𝕜 E) = F, by { ext x, simp [h] },
have : finite_dimensional 𝕜 (⊤ : submodule 𝕜 E), by rwa this,
refine module.finite_def.2 ((submodule.fg_top _).1 (module.finite_def.1 this)) },
obtain ⟨x, xR, hx⟩ : ∃ (x : E), ∥x∥ ≤ R ∧ ∀ (y : E), y ∈ F → 1 ≤ ∥x - y∥ :=
riesz_lemma_of_norm_lt hc hR Fclosed this,
have hx' : ∀ (y : E), y ∈ F → 1 ≤ ∥y - x∥,
{ assume y hy, rw ← norm_neg, simpa using hx y hy },
exact ⟨x, xR, λ y hy, hx' _ (submodule.subset_span hy)⟩,
end
/-- In an infinite-dimensional normed space, there exists a sequence of points which are all
bounded by `R` and at distance at least `1`. For a version not assuming `c` and `R`, see
`exists_seq_norm_le_one_le_norm_sub`. -/
theorem exists_seq_norm_le_one_le_norm_sub' {c : 𝕜} (hc : 1 < ∥c∥) {R : ℝ} (hR : ∥c∥ < R)
(h : ¬ (finite_dimensional 𝕜 E)) :
∃ f : ℕ → E, (∀ n, ∥f n∥ ≤ R) ∧ (∀ m n, m ≠ n → 1 ≤ ∥f m - f n∥) :=
begin
haveI : is_symm E (λ (x y : E), 1 ≤ ∥x - y∥),
{ constructor,
assume x y hxy,
rw ← norm_neg,
simpa },
apply exists_seq_of_forall_finset_exists' (λ (x : E), ∥x∥ ≤ R) (λ (x : E) (y : E), 1 ≤ ∥x - y∥),
assume s hs,
exact exists_norm_le_le_norm_sub_of_finset hc hR h s,
end
theorem exists_seq_norm_le_one_le_norm_sub (h : ¬ (finite_dimensional 𝕜 E)) :
∃ (R : ℝ) (f : ℕ → E), (1 < R) ∧ (∀ n, ∥f n∥ ≤ R) ∧ (∀ m n, m ≠ n → 1 ≤ ∥f m - f n∥) :=
begin
obtain ⟨c, hc⟩ : ∃ (c : 𝕜), 1 < ∥c∥ := normed_field.exists_one_lt_norm 𝕜,
have A : ∥c∥ < ∥c∥ + 1, by linarith,
rcases exists_seq_norm_le_one_le_norm_sub' hc A h with ⟨f, hf⟩,
exact ⟨∥c∥ + 1, f, hc.trans A, hf.1, hf.2⟩
end
variable (𝕜)
/-- **Riesz's theorem**: if a closed ball with center zero of positive radius is compact in a vector
space, then the space is finite-dimensional. -/
theorem finite_dimensional_of_is_compact_closed_ball₀ {r : ℝ} (rpos : 0 < r)
(h : is_compact (metric.closed_ball (0 : E) r)) : finite_dimensional 𝕜 E :=
begin
by_contra hfin,
obtain ⟨R, f, Rgt, fle, lef⟩ :
∃ (R : ℝ) (f : ℕ → E), (1 < R) ∧ (∀ n, ∥f n∥ ≤ R) ∧ (∀ m n, m ≠ n → 1 ≤ ∥f m - f n∥) :=
exists_seq_norm_le_one_le_norm_sub hfin,
have rRpos : 0 < r / R := div_pos rpos (zero_lt_one.trans Rgt),
obtain ⟨c, hc⟩ : ∃ (c : 𝕜), 0 < ∥c∥ ∧ ∥c∥ < (r / R) := normed_field.exists_norm_lt _ rRpos,
let g := λ (n : ℕ), c • f n,
have A : ∀ n, g n ∈ metric.closed_ball (0 : E) r,
{ assume n,
simp only [norm_smul, dist_zero_right, metric.mem_closed_ball],
calc ∥c∥ * ∥f n∥ ≤ (r / R) * R : mul_le_mul hc.2.le (fle n) (norm_nonneg _) rRpos.le
... = r : by field_simp [(zero_lt_one.trans Rgt).ne'] },
obtain ⟨x, hx, φ, φmono, φlim⟩ : ∃ (x : E) (H : x ∈ metric.closed_ball (0 : E) r) (φ : ℕ → ℕ),
strict_mono φ ∧ tendsto (g ∘ φ) at_top (𝓝 x) := h.tendsto_subseq A,
have B : cauchy_seq (g ∘ φ) := φlim.cauchy_seq,
obtain ⟨N, hN⟩ : ∃ (N : ℕ), ∀ (n : ℕ), N ≤ n → dist ((g ∘ φ) n) ((g ∘ φ) N) < ∥c∥ :=
metric.cauchy_seq_iff'.1 B (∥c∥) hc.1,
apply lt_irrefl (∥c∥),
calc ∥c∥ ≤ dist (g (φ (N+1))) (g (φ N)) : begin
conv_lhs { rw [← mul_one (∥c∥)] },
simp only [g, dist_eq_norm, ←smul_sub, norm_smul, -mul_one],
apply mul_le_mul_of_nonneg_left (lef _ _ (ne_of_gt _)) (norm_nonneg _),
exact φmono (nat.lt_succ_self N)
end
... < ∥c∥ : hN (N+1) (nat.le_succ N)
end
/-- **Riesz's theorem**: if a closed ball of positive radius is compact in a vector space, then the
space is finite-dimensional. -/
theorem finite_dimensional_of_is_compact_closed_ball {r : ℝ} (rpos : 0 < r) {c : E}
(h : is_compact (metric.closed_ball c r)) : finite_dimensional 𝕜 E :=
begin
apply finite_dimensional_of_is_compact_closed_ball₀ 𝕜 rpos,
have : continuous (λ x, -c + x), from continuous_const.add continuous_id,
simpa using h.image this,
end
end riesz
/-- An injective linear map with finite-dimensional domain is a closed embedding. -/
lemma linear_equiv.closed_embedding_of_injective {f : E →ₗ[𝕜] F} (hf : f.ker = ⊥)
[finite_dimensional 𝕜 E] :
closed_embedding ⇑f :=
let g := linear_equiv.of_injective f (linear_map.ker_eq_bot.mp hf) in
{ closed_range := begin
haveI := f.finite_dimensional_range,
simpa [f.range_coe] using f.range.closed_of_finite_dimensional
end,
.. embedding_subtype_coe.comp g.to_continuous_linear_equiv.to_homeomorph.embedding }
lemma continuous_linear_map.exists_right_inverse_of_surjective [finite_dimensional 𝕜 F]
(f : E →L[𝕜] F) (hf : f.range = ⊤) :
∃ g : F →L[𝕜] E, f.comp g = continuous_linear_map.id 𝕜 F :=
let ⟨g, hg⟩ := (f : E →ₗ[𝕜] F).exists_right_inverse_of_surjective hf in
⟨g.to_continuous_linear_map, continuous_linear_map.ext $ linear_map.ext_iff.1 hg⟩
lemma closed_embedding_smul_left {c : E} (hc : c ≠ 0) : closed_embedding (λ x : 𝕜, x • c) :=
linear_equiv.closed_embedding_of_injective (linear_map.ker_to_span_singleton 𝕜 E hc)
/- `smul` is a closed map in the first argument. -/
lemma is_closed_map_smul_left (c : E) : is_closed_map (λ x : 𝕜, x • c) :=
begin
by_cases hc : c = 0,
{ simp_rw [hc, smul_zero], exact is_closed_map_const },
{ exact (closed_embedding_smul_left hc).is_closed_map }
end
open continuous_linear_map
/-- Continuous linear equivalence between continuous linear functions `𝕜ⁿ → E` and `Eⁿ`.
The spaces `𝕜ⁿ` and `Eⁿ` are represented as `ι → 𝕜` and `ι → E`, respectively,
where `ι` is a finite type. -/
def continuous_linear_equiv.pi_ring (ι : Type*) [fintype ι] [decidable_eq ι] :
((ι → 𝕜) →L[𝕜] E) ≃L[𝕜] (ι → E) :=
{ continuous_to_fun :=
begin
refine continuous_pi (λ i, _),
exact (continuous_linear_map.apply 𝕜 E (pi.single i 1)).continuous,
end,
continuous_inv_fun :=
begin
simp_rw [linear_equiv.inv_fun_eq_symm, linear_equiv.trans_symm, linear_equiv.symm_symm],
change continuous (linear_map.to_continuous_linear_map.to_linear_map.comp
(linear_equiv.pi_ring 𝕜 E ι 𝕜).symm.to_linear_map),
apply add_monoid_hom_class.continuous_of_bound _ (fintype.card ι : ℝ) (λ g, _),
rw ← nsmul_eq_mul,
apply op_norm_le_bound _ (nsmul_nonneg (norm_nonneg g) (fintype.card ι)) (λ t, _),
simp_rw [linear_map.coe_comp, linear_equiv.coe_to_linear_map, function.comp_app,
linear_map.coe_to_continuous_linear_map', linear_equiv.pi_ring_symm_apply],
apply le_trans (norm_sum_le _ _),
rw smul_mul_assoc,
refine finset.sum_le_card_nsmul _ _ _ (λ i hi, _),
rw [norm_smul, mul_comm],
exact mul_le_mul (norm_le_pi_norm g i) (norm_le_pi_norm t i) (norm_nonneg _) (norm_nonneg g),
end,
.. linear_map.to_continuous_linear_map.symm.trans (linear_equiv.pi_ring 𝕜 E ι 𝕜) }
/-- A family of continuous linear maps is continuous on `s` if all its applications are. -/
lemma continuous_on_clm_apply {X : Type*} [topological_space X]
[finite_dimensional 𝕜 E] {f : X → E →L[𝕜] F} {s : set X} :
continuous_on f s ↔ ∀ y, continuous_on (λ x, f x y) s :=
begin
refine ⟨λ h y, (continuous_linear_map.apply 𝕜 F y).continuous.comp_continuous_on h, λ h, _⟩,
let d := finrank 𝕜 E,
have hd : d = finrank 𝕜 (fin d → 𝕜) := (finrank_fin_fun 𝕜).symm,
let e₁ : E ≃L[𝕜] fin d → 𝕜 := continuous_linear_equiv.of_finrank_eq hd,
let e₂ : (E →L[𝕜] F) ≃L[𝕜] fin d → F :=
(e₁.arrow_congr (1 : F ≃L[𝕜] F)).trans (continuous_linear_equiv.pi_ring (fin d)),
rw [← function.comp.left_id f, ← e₂.symm_comp_self],
exact e₂.symm.continuous.comp_continuous_on (continuous_on_pi.mpr (λ i, h _))
end
lemma continuous_clm_apply {X : Type*} [topological_space X] [finite_dimensional 𝕜 E]
{f : X → E →L[𝕜] F} :
continuous f ↔ ∀ y, continuous (λ x, f x y) :=
by simp_rw [continuous_iff_continuous_on_univ, continuous_on_clm_apply]
end complete_field
section proper_field
variables (𝕜 : Type u) [nontrivially_normed_field 𝕜]
(E : Type v) [normed_add_comm_group E] [normed_space 𝕜 E] [proper_space 𝕜]
/-- Any finite-dimensional vector space over a proper field is proper.
We do not register this as an instance to avoid an instance loop when trying to prove the
properness of `𝕜`, and the search for `𝕜` as an unknown metavariable. Declare the instance
explicitly when needed. -/
lemma finite_dimensional.proper [finite_dimensional 𝕜 E] : proper_space E :=
begin
set e := continuous_linear_equiv.of_finrank_eq (@finrank_fin_fun 𝕜 _ (finrank 𝕜 E)).symm,
exact e.symm.antilipschitz.proper_space e.symm.continuous e.symm.surjective
end
end proper_field
/- Over the real numbers, we can register the previous statement as an instance as it will not
cause problems in instance resolution since the properness of `ℝ` is already known. -/
@[priority 900]
instance finite_dimensional.proper_real (E : Type u) [normed_add_comm_group E] [normed_space ℝ E]
[finite_dimensional ℝ E] : proper_space E :=
finite_dimensional.proper ℝ E
/-- If `E` is a finite dimensional normed real vector space, `x : E`, and `s` is a neighborhood of
`x` that is not equal to the whole space, then there exists a point `y ∈ frontier s` at distance
`metric.inf_dist x sᶜ` from `x`. See also
`is_compact.exists_mem_frontier_inf_dist_compl_eq_dist`. -/
lemma exists_mem_frontier_inf_dist_compl_eq_dist {E : Type*} [normed_add_comm_group E]
[normed_space ℝ E] [finite_dimensional ℝ E] {x : E} {s : set E} (hx : x ∈ s) (hs : s ≠ univ) :
∃ y ∈ frontier s, metric.inf_dist x sᶜ = dist x y :=
begin
rcases metric.exists_mem_closure_inf_dist_eq_dist (nonempty_compl.2 hs) x with ⟨y, hys, hyd⟩,
rw closure_compl at hys,
refine ⟨y, ⟨metric.closed_ball_inf_dist_compl_subset_closure hx $
metric.mem_closed_ball.2 $ ge_of_eq _, hys⟩, hyd⟩,
rwa dist_comm
end
/-- If `K` is a compact set in a nontrivial real normed space and `x ∈ K`, then there exists a point
`y` of the boundary of `K` at distance `metric.inf_dist x Kᶜ` from `x`. See also
`exists_mem_frontier_inf_dist_compl_eq_dist`. -/
lemma is_compact.exists_mem_frontier_inf_dist_compl_eq_dist {E : Type*} [normed_add_comm_group E]
[normed_space ℝ E] [nontrivial E] {x : E} {K : set E} (hK : is_compact K) (hx : x ∈ K) :
∃ y ∈ frontier K, metric.inf_dist x Kᶜ = dist x y :=
begin
obtain (hx'|hx') : x ∈ interior K ∪ frontier K,
{ rw ← closure_eq_interior_union_frontier, exact subset_closure hx },
{ rw [mem_interior_iff_mem_nhds, metric.nhds_basis_closed_ball.mem_iff] at hx',
rcases hx' with ⟨r, hr₀, hrK⟩,
haveI : finite_dimensional ℝ E,
from finite_dimensional_of_is_compact_closed_ball ℝ hr₀
(compact_of_is_closed_subset hK metric.is_closed_ball hrK),
exact exists_mem_frontier_inf_dist_compl_eq_dist hx hK.ne_univ },
{ refine ⟨x, hx', _⟩,
rw frontier_eq_closure_inter_closure at hx',
rw [metric.inf_dist_zero_of_mem_closure hx'.2, dist_self] },
end
/-- In a finite dimensional vector space over `ℝ`, the series `∑ x, ∥f x∥` is unconditionally
summable if and only if the series `∑ x, f x` is unconditionally summable. One implication holds in
any complete normed space, while the other holds only in finite dimensional spaces. -/
lemma summable_norm_iff {α E : Type*} [normed_add_comm_group E] [normed_space ℝ E]
[finite_dimensional ℝ E] {f : α → E} : summable (λ x, ∥f x∥) ↔ summable f :=
begin
refine ⟨summable_of_summable_norm, λ hf, _⟩,
-- First we use a finite basis to reduce the problem to the case `E = fin N → ℝ`
suffices : ∀ {N : ℕ} {g : α → fin N → ℝ}, summable g → summable (λ x, ∥g x∥),
{ obtain v := fin_basis ℝ E,
set e := v.equiv_funL,
have : summable (λ x, ∥e (f x)∥) := this (e.summable.2 hf),
refine summable_of_norm_bounded _ (this.mul_left
↑(∥(e.symm : (fin (finrank ℝ E) → ℝ) →L[ℝ] E)∥₊)) (λ i, _),
simpa using (e.symm : (fin (finrank ℝ E) → ℝ) →L[ℝ] E).le_op_norm (e $ f i) },
unfreezingI { clear_dependent E },
-- Now we deal with `g : α → fin N → ℝ`
intros N g hg,
have : ∀ i, summable (λ x, ∥g x i∥) := λ i, (pi.summable.1 hg i).abs,
refine summable_of_norm_bounded _ (summable_sum (λ i (hi : i ∈ finset.univ), this i)) (λ x, _),
rw [norm_norm, pi_norm_le_iff],
{ refine λ i, finset.single_le_sum (λ i hi, _) (finset.mem_univ i),
exact norm_nonneg (g x i) },
{ exact finset.sum_nonneg (λ _ _, norm_nonneg _) }
end
lemma summable_of_is_O' {ι E F : Type*} [normed_add_comm_group E] [complete_space E]
[normed_add_comm_group F] [normed_space ℝ F] [finite_dimensional ℝ F] {f : ι → E} {g : ι → F}
(hg : summable g) (h : f =O[cofinite] g) : summable f :=
summable_of_is_O (summable_norm_iff.mpr hg) h.norm_right
lemma summable_of_is_O_nat' {E F : Type*} [normed_add_comm_group E] [complete_space E]
[normed_add_comm_group F] [normed_space ℝ F] [finite_dimensional ℝ F] {f : ℕ → E} {g : ℕ → F}
(hg : summable g) (h : f =O[at_top] g) : summable f :=
summable_of_is_O_nat (summable_norm_iff.mpr hg) h.norm_right
lemma summable_of_is_equivalent {ι E : Type*} [normed_add_comm_group E] [normed_space ℝ E]
[finite_dimensional ℝ E] {f : ι → E} {g : ι → E}
(hg : summable g) (h : f ~[cofinite] g) : summable f :=
hg.trans_sub (summable_of_is_O' hg h.is_o.is_O)
lemma summable_of_is_equivalent_nat {E : Type*} [normed_add_comm_group E] [normed_space ℝ E]
[finite_dimensional ℝ E] {f : ℕ → E} {g : ℕ → E}
(hg : summable g) (h : f ~[at_top] g) : summable f :=
hg.trans_sub (summable_of_is_O_nat' hg h.is_o.is_O)
lemma is_equivalent.summable_iff {ι E : Type*} [normed_add_comm_group E] [normed_space ℝ E]
[finite_dimensional ℝ E] {f : ι → E} {g : ι → E}
(h : f ~[cofinite] g) : summable f ↔ summable g :=
⟨λ hf, summable_of_is_equivalent hf h.symm, λ hg, summable_of_is_equivalent hg h⟩
lemma is_equivalent.summable_iff_nat {E : Type*} [normed_add_comm_group E] [normed_space ℝ E]
[finite_dimensional ℝ E] {f : ℕ → E} {g : ℕ → E}
(h : f ~[at_top] g) : summable f ↔ summable g :=
⟨λ hf, summable_of_is_equivalent_nat hf h.symm, λ hg, summable_of_is_equivalent_nat hg h⟩
|
f926440ad8bb2b502ad47191da2fcd9e0254e6c5 | f1b175e38ffc5cc1c7c5551a72d0dbaf70786f83 | /set_theory/ordinal.lean | 9ca0185e8cb0d8799c93782d280fe2436cdf5ac5 | [
"Apache-2.0"
] | permissive | mjendrusch/mathlib | df3ae884dd5ce38c7edf452bcbfd3baf4e3a6214 | 5c209edb7eb616a26f64efe3500f2b1ba95b8d55 | refs/heads/master | 1,585,663,284,800 | 1,539,062,055,000 | 1,539,062,055,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 125,250 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Mario Carneiro
Ordinal arithmetic.
Ordinals are defined as equivalences of well-ordered sets by order isomorphism.
-/
import order.order_iso set_theory.cardinal data.sum
noncomputable theory
open function cardinal
local attribute [instance] classical.prop_decidable
universes u v w
variables {α : Type*} {β : Type*} {γ : Type*}
{r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
structure initial_seg {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends r ≼o s :=
(init : ∀ a b, s b (to_order_embedding a) → ∃ a', to_order_embedding a' = b)
local infix ` ≼i `:50 := initial_seg
namespace initial_seg
instance : has_coe (r ≼i s) (r ≼o s) := ⟨initial_seg.to_order_embedding⟩
@[simp] theorem coe_fn_mk (f : r ≼o s) (o) :
(@initial_seg.mk _ _ r s f o : α → β) = f := rfl
@[simp] theorem coe_fn_to_order_embedding (f : r ≼i s) : (f.to_order_embedding : α → β) = f := rfl
theorem coe_coe_fn (f : r ≼i s) : ((f : r ≼o s) : α → β) = f := rfl
theorem init' (f : r ≼i s) {a : α} {b : β} : s b (f a) → ∃ a', f a' = b :=
f.init _ _
theorem init_iff (f : r ≼i s) {a : α} {b : β} : s b (f a) ↔ ∃ a', f a' = b ∧ r a' a :=
⟨λ h, let ⟨a', e⟩ := f.init' h in ⟨a', e, (f : r ≼o s).ord'.2 (e.symm ▸ h)⟩,
λ ⟨a', e, h⟩, e ▸ (f : r ≼o s).ord'.1 h⟩
/-- An order isomorphism is an initial segment -/
def of_iso (f : r ≃o s) : r ≼i s :=
⟨f, λ a b h, ⟨f.symm b, order_iso.apply_inverse_apply f _⟩⟩
@[refl] protected def refl (r : α → α → Prop) : r ≼i r :=
⟨order_embedding.refl _, λ a b h, ⟨_, rfl⟩⟩
@[trans] protected def trans : r ≼i s → s ≼i t → r ≼i t
| ⟨f₁, o₁⟩ ⟨f₂, o₂⟩ := ⟨f₁.trans f₂, λ a c h, begin
simp at h ⊢,
rcases o₂ _ _ h with ⟨b, rfl⟩, have h := f₂.ord'.2 h,
rcases o₁ _ _ h with ⟨a', rfl⟩, exact ⟨a', rfl⟩
end⟩
@[simp] theorem of_iso_apply (f : r ≃o s) (x : α) : of_iso f x = f x := rfl
@[simp] theorem refl_apply (x : α) : initial_seg.refl r x = x := rfl
@[simp] theorem trans_apply : ∀ (f : r ≼i s) (g : s ≼i t) (a : α), (f.trans g) a = g (f a)
| ⟨f₁, o₁⟩ ⟨f₂, o₂⟩ a := order_embedding.trans_apply _ _ _
theorem unique_of_extensional [is_extensional β s] :
well_founded r → subsingleton (r ≼i s) | ⟨h⟩ :=
⟨λ f g, begin
suffices : (f : α → β) = g, { cases f, cases g,
congr, exact order_embedding.eq_of_to_fun_eq this },
funext a, have := h a, induction this with a H IH,
refine @is_extensional.ext _ s _ _ _ (λ x, ⟨λ h, _, λ h, _⟩),
{ rcases f.init_iff.1 h with ⟨y, rfl, h'⟩,
rw IH _ h', exact (g : r ≼o s).ord'.1 h' },
{ rcases g.init_iff.1 h with ⟨y, rfl, h'⟩,
rw ← IH _ h', exact (f : r ≼o s).ord'.1 h' }
end⟩
instance [is_well_order β s] : subsingleton (r ≼i s) :=
⟨λ a, @subsingleton.elim _ (unique_of_extensional
(@order_embedding.well_founded _ _ r s a (is_well_order.wf s))) a⟩
protected theorem eq [is_well_order β s] (f g : r ≼i s) (a) : f a = g a :=
by rw subsingleton.elim f g
theorem antisymm.aux [is_well_order α r] (f : r ≼i s) (g : s ≼i r) : left_inverse g f
| x := begin
have := ((is_well_order.wf r).apply x), induction this with x _ IH,
refine @is_extensional.ext _ r _ _ _ (λ y, _),
simp only [g.init_iff, f.init_iff],
split; intro h,
{ rcases h with ⟨a, rfl, b, rfl, h⟩, rwa IH _ h },
{ exact ⟨f y, IH _ h, y, rfl, h⟩ }
end
def antisymm [is_well_order β s] (f : r ≼i s) (g : s ≼i r) : r ≃o s :=
by haveI := f.to_order_embedding.is_well_order; exact
⟨⟨f, g, antisymm.aux f g, antisymm.aux g f⟩, f.ord⟩
@[simp] theorem antisymm_to_fun [is_well_order β s]
(f : r ≼i s) (g : s ≼i r) : (antisymm f g : α → β) = f := rfl
@[simp] theorem antisymm_symm [is_well_order α r] [is_well_order β s]
(f : r ≼i s) (g : s ≼i r) : (antisymm f g).symm = antisymm g f :=
order_iso.eq_of_to_fun_eq rfl
theorem eq_or_principal [is_well_order β s] (f : r ≼i s) : surjective f ∨ ∃ b, ∀ x, s x b ↔ ∃ y, f y = x :=
or_iff_not_imp_right.2 $ λ h b,
acc.rec_on ((is_well_order.wf s).apply b) $ λ x H IH,
not_forall_not.1 $ λ hn,
h ⟨x, λ y, ⟨(IH _), λ ⟨a, e⟩, by rw ← e; exact
(trichotomous _ _).resolve_right
(not_or (hn a) (λ hl, not_exists.2 hn (f.init' hl)))⟩⟩
/-- Restrict the codomain of an initial segment -/
def cod_restrict (p : set β) (f : r ≼i s) (H : ∀ a, f a ∈ p) : r ≼i subrel s p :=
⟨order_embedding.cod_restrict p f H, λ a ⟨b, m⟩ (h : s b (f a)),
let ⟨a', e⟩ := f.init' h in ⟨a', by clear _let_match; subst e; refl⟩⟩
@[simp] theorem cod_restrict_apply (p) (f : r ≼i s) (H a) : cod_restrict p f H a = ⟨f a, H a⟩ := rfl
def le_add (r : α → α → Prop) (s : β → β → Prop) : r ≼i sum.lex r s :=
⟨⟨⟨sum.inl, λ _ _, sum.inl.inj⟩, λ a b, sum.lex_inl_inl.symm⟩,
λ a b, by cases b; [exact λ _, ⟨_, rfl⟩, exact false.elim ∘ sum.lex_inr_inl]⟩
@[simp] theorem le_add_apply (r : α → α → Prop) (s : β → β → Prop)
(a) : le_add r s a = sum.inl a := rfl
end initial_seg
structure principal_seg {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends r ≼o s :=
(top : β)
(down : ∀ b, s b top ↔ ∃ a, to_order_embedding a = b)
local infix ` ≺i `:50 := principal_seg
namespace principal_seg
instance : has_coe (r ≺i s) (r ≼o s) := ⟨principal_seg.to_order_embedding⟩
@[simp] theorem coe_fn_mk (f : r ≼o s) (t o) :
(@principal_seg.mk _ _ r s f t o : α → β) = f := rfl
@[simp] theorem coe_fn_to_order_embedding (f : r ≺i s) : (f.to_order_embedding : α → β) = f := rfl
theorem coe_coe_fn (f : r ≺i s) : ((f : r ≼o s) : α → β) = f := rfl
theorem down' (f : r ≺i s) {b : β} : s b f.top ↔ ∃ a, f a = b :=
f.down _
theorem lt_top (f : r ≺i s) (a : α) : s (f a) f.top :=
f.down'.2 ⟨_, rfl⟩
theorem init [is_trans β s] (f : r ≺i s) {a : α} {b : β} (h : s b (f a)) : ∃ a', f a' = b :=
f.down'.1 $ trans h $ f.lt_top _
instance has_coe_initial_seg [is_trans β s] : has_coe (r ≺i s) (r ≼i s) :=
⟨λ f, ⟨f.to_order_embedding, λ a b, f.init⟩⟩
theorem coe_coe_fn' [is_trans β s] (f : r ≺i s) : ((f : r ≼i s) : α → β) = f := rfl
theorem init_iff [is_trans β s] (f : r ≺i s) {a : α} {b : β} : s b (f a) ↔ ∃ a', f a' = b ∧ r a' a :=
initial_seg.init_iff f
theorem irrefl (r : α → α → Prop) [is_well_order α r] (f : r ≺i r) : false :=
begin
have := f.lt_top f.top,
rw [show f f.top = f.top, from
initial_seg.eq ↑f (initial_seg.refl r) f.top] at this,
exact irrefl _ this
end
def lt_le [is_trans β s] (f : r ≺i s) (g : s ≼i t) : r ≺i t :=
⟨@order_embedding.trans _ _ _ r s t f g, g f.top, λ a,
by simp only [g.init_iff, f.down', exists_and_distrib_left.symm,
exists_swap, order_embedding.trans_apply, exists_eq_right']; refl⟩
@[simp] theorem lt_le_apply [is_trans β s] [is_trans γ t] (f : r ≺i s) (g : s ≼i t) (a : α) : (f.lt_le g) a = g (f a) :=
order_embedding.trans_apply _ _ _
@[simp] theorem lt_le_top [is_trans β s] [is_trans γ t] (f : r ≺i s) (g : s ≼i t) : (f.lt_le g).top = g f.top := rfl
@[trans] protected def trans [is_trans β s] [is_trans γ t] (f : r ≺i s) (g : s ≺i t) : r ≺i t :=
lt_le f g
@[simp] theorem trans_apply [is_trans β s] [is_trans γ t] (f : r ≺i s) (g : s ≺i t) (a : α) : (f.trans g) a = g (f a) :=
lt_le_apply _ _ _
@[simp] theorem trans_top [is_trans β s] [is_trans γ t] (f : r ≺i s) (g : s ≺i t) : (f.trans g).top = g f.top := rfl
def equiv_lt [is_trans β s] [is_trans γ t] (f : r ≃o s) (g : s ≺i t) : r ≺i t :=
⟨@order_embedding.trans _ _ _ r s t f g, g.top, λ c,
by simp only [g.down', coe_fn_coe_base, order_embedding.trans_apply]; exact
⟨λ ⟨b, h⟩, ⟨f.symm b, by simp only [h, order_iso.apply_inverse_apply, order_iso.coe_coe_fn]⟩, λ ⟨a, h⟩, ⟨f a, h⟩⟩⟩
@[simp] theorem equiv_lt_apply [is_trans β s] [is_trans γ t] (f : r ≃o s) (g : s ≺i t) (a : α) : (equiv_lt f g) a = g (f a) :=
order_embedding.trans_apply _ _ _
@[simp] theorem equiv_lt_top [is_trans β s] [is_trans γ t] (f : r ≃o s) (g : s ≺i t) : (equiv_lt f g).top = g.top := rfl
instance [is_well_order β s] : subsingleton (r ≺i s) :=
⟨λ f g, begin
have ef : (f : α → β) = g,
{ show ((f : r ≼i s) : α → β) = g,
rw @subsingleton.elim _ _ (f : r ≼i s) g, refl },
have et : f.top = g.top,
{ refine @is_extensional.ext _ s _ _ _ (λ x, _),
simp only [f.down, g.down, ef, coe_fn_to_order_embedding] },
cases f, cases g,
have := order_embedding.eq_of_to_fun_eq ef; congr'
end⟩
theorem top_eq [is_well_order β s] [is_well_order γ t]
(e : r ≃o s) (f : r ≺i t) (g : s ≺i t) : f.top = g.top :=
by rw subsingleton.elim f (principal_seg.equiv_lt e g); refl
/-- Any element of a well order yields a principal segment -/
def of_element {α : Type*} (r : α → α → Prop) [is_well_order α r] (a : α) :
subrel r {b | r b a} ≺i r :=
⟨subrel.order_embedding _ _, a, λ b,
⟨λ h, ⟨⟨_, h⟩, rfl⟩, λ ⟨⟨_, h⟩, rfl⟩, h⟩⟩
@[simp] theorem of_element_apply {α : Type*} (r : α → α → Prop) [is_well_order α r] (a : α) (b) :
of_element r a b = b.1 := rfl
@[simp] theorem of_element_top {α : Type*} (r : α → α → Prop) [is_well_order α r] (a : α) :
(of_element r a).top = a := rfl
/-- Restrict the codomain of a principal segment -/
def cod_restrict (p : set β) (f : r ≺i s)
(H : ∀ a, f a ∈ p) (H₂ : f.top ∈ p) : r ≺i subrel s p :=
⟨order_embedding.cod_restrict p f H, ⟨f.top, H₂⟩, λ ⟨b, h⟩,
f.down'.trans $ exists_congr $ λ a,
show (⟨f a, H a⟩ : p).1 = _ ↔ _, from ⟨subtype.eq, congr_arg _⟩⟩
@[simp] theorem cod_restrict_apply (p) (f : r ≺i s) (H H₂ a) : cod_restrict p f H H₂ a = ⟨f a, H a⟩ := rfl
@[simp] theorem cod_restrict_top (p) (f : r ≺i s) (H H₂) : (cod_restrict p f H H₂).top = ⟨f.top, H₂⟩ := rfl
end principal_seg
def initial_seg.lt_or_eq [is_well_order β s] (f : r ≼i s) : r ≺i s ⊕ r ≃o s :=
if h : surjective f then sum.inr (order_iso.of_surjective f h) else
have h' : _, from (initial_seg.eq_or_principal f).resolve_left h,
sum.inl ⟨f, classical.some h', classical.some_spec h'⟩
@[simp] theorem initial_seg.lt_or_eq_apply_left [is_well_order β s]
(f : r ≼i s) {g} (h : f.lt_or_eq = sum.inl g) (a : α) : g a = f a :=
begin
unfold initial_seg.lt_or_eq at h,
by_cases sj : surjective f,
{ rw dif_pos sj at h, cases h },
{ rw dif_neg sj at h, cases h, refl }
end
@[simp] theorem initial_seg.lt_or_eq_apply_right [is_well_order β s]
(f : r ≼i s) {g} (h : f.lt_or_eq = sum.inr g) (a : α) : g a = f a :=
begin
unfold initial_seg.lt_or_eq at h,
by_cases sj : surjective f,
{rw dif_pos sj at h, cases h, refl},
{rw dif_neg sj at h, cases h}
end
def initial_seg.le_lt [is_well_order β s] [is_trans γ t] (f : r ≼i s) (g : s ≺i t) : r ≺i t :=
match f.lt_or_eq with
| sum.inl f' := f'.trans g
| sum.inr f' := principal_seg.equiv_lt f' g
end
@[simp] theorem initial_seg.le_lt_apply [is_well_order β s] [is_trans γ t]
(f : r ≼i s) (g : s ≺i t) (a : α) : (f.le_lt g) a = g (f a) :=
begin
delta initial_seg.le_lt, cases h : f.lt_or_eq with f' f',
{ simp only [principal_seg.trans_apply, f.lt_or_eq_apply_left h] },
{ simp only [principal_seg.equiv_lt_apply, f.lt_or_eq_apply_right h] }
end
namespace order_embedding
def collapse_F [is_well_order β s] (f : r ≼o s) : Π a, {b // ¬ s (f a) b} :=
(order_embedding.well_founded f $ is_well_order.wf s).fix $ λ a IH, begin
let S := {b | ∀ a h, s (IH a h).1 b},
have : f a ∈ S, from λ a' h, ((trichotomous _ _)
.resolve_left $ λ h', (IH a' h).2 $ trans (f.ord'.1 h) h')
.resolve_left $ λ h', (IH a' h).2 $ h' ▸ f.ord'.1 h,
exact ⟨(is_well_order.wf s).min S (set.ne_empty_of_mem this),
(is_well_order.wf s).not_lt_min _ _ this⟩
end
theorem collapse_F.lt [is_well_order β s] (f : r ≼o s) {a : α}
: ∀ {a'}, r a' a → s (collapse_F f a').1 (collapse_F f a).1 :=
show (collapse_F f a).1 ∈ {b | ∀ a' (h : r a' a), s (collapse_F f a').1 b}, begin
unfold collapse_F, rw well_founded.fix_eq,
apply well_founded.min_mem _ _
end
theorem collapse_F.not_lt [is_well_order β s] (f : r ≼o s) (a : α)
{b} (h : ∀ a' (h : r a' a), s (collapse_F f a').1 b) : ¬ s b (collapse_F f a).1 :=
begin
unfold collapse_F, rw well_founded.fix_eq,
exact well_founded.not_lt_min _ _ _
(show b ∈ {b | ∀ a' (h : r a' a), s (collapse_F f a').1 b}, from h)
end
/-- Construct an initial segment from an order embedding. -/
def collapse [is_well_order β s] (f : r ≼o s) : r ≼i s :=
by haveI := order_embedding.is_well_order f; exact
⟨order_embedding.of_monotone
(λ a, (collapse_F f a).1) (λ a b, collapse_F.lt f),
λ a b, acc.rec_on ((is_well_order.wf s).apply b) (λ b H IH a h, begin
let S := {a | ¬ s (collapse_F f a).1 b},
have : S ≠ ∅ := set.ne_empty_of_mem (asymm h),
existsi (is_well_order.wf r).min S this,
refine ((@trichotomous _ s _ _ _).resolve_left _).resolve_right _,
{ exact (is_well_order.wf r).min_mem S this },
{ refine collapse_F.not_lt f _ (λ a' h', _),
by_contradiction hn,
exact (is_well_order.wf r).not_lt_min S this hn h' }
end) a⟩
theorem collapse_apply [is_well_order β s] (f : r ≼o s)
(a) : collapse f a = (collapse_F f a).1 := rfl
end order_embedding
section well_ordering_thm
parameter {σ : Type*}
private def partial_wo := Σ p : set σ, {r // is_well_order p r}
private def partial_wo.le (x y : partial_wo) := ∃ f : x.2.1 ≼i y.2.1, ∀ x, (f x).1 = x.1
local infix ` ≤ `:50 := partial_wo.le
private def partial_wo.is_refl : is_refl _ (≤) :=
⟨λ a, ⟨initial_seg.refl _, λ x, rfl⟩⟩
local attribute [instance] partial_wo.is_refl
private def partial_wo.trans {a b c} : a ≤ b → b ≤ c → a ≤ c
| ⟨f, hf⟩ ⟨g, hg⟩ := ⟨f.trans g, λ a, by rw [initial_seg.trans_apply, hg, hf]⟩
private def sub_of_le {s t} : s ≤ t → s.1 ⊆ t.1
| ⟨f, hf⟩ x h := by have := (f ⟨x, h⟩).2; rwa [hf ⟨x, h⟩] at this
private def agree_of_le {s t} : s ≤ t → ∀ {a b} sa sb ta tb,
s.2.1 ⟨a, sa⟩ ⟨b, sb⟩ ↔ t.2.1 ⟨a, ta⟩ ⟨b, tb⟩
| ⟨f, hf⟩ a b sa sb ta tb := by rw [f.to_order_embedding.ord',
show f.to_order_embedding ⟨a, sa⟩ = ⟨a, ta⟩, from subtype.eq (hf ⟨a, sa⟩),
show f.to_order_embedding ⟨b, sb⟩ = ⟨b, tb⟩, from subtype.eq (hf ⟨b, sb⟩)]
section
parameters {c : set partial_wo} (hc : zorn.chain (≤) c)
private def U := ⋃₀ ((λ x:partial_wo, x.1) '' c)
private def R (x y : U) := ∃ a : partial_wo, a ∈ c ∧
∃ (hx : x.1 ∈ a.1) (hy : y.1 ∈ a.1), a.2.1 ⟨_, hx⟩ ⟨_, hy⟩
private lemma mem_U {a} : a ∈ U ↔ ∃ s : partial_wo, s ∈ c ∧ a ∈ s.1 :=
by simp only [U, set.sUnion_image, set.mem_Union, exists_prop]
private lemma mem_U2 {a b} (au : a ∈ U) (bu : b ∈ U) :
∃ s : partial_wo, s ∈ c ∧ a ∈ s.1 ∧ b ∈ s.1 :=
let ⟨s, sc, as⟩ := mem_U.1 au, ⟨t, tc, bt⟩ := mem_U.1 bu,
⟨k, kc, ks, kt⟩ := hc.directed sc tc in
⟨k, kc, sub_of_le ks as, sub_of_le kt bt⟩
private lemma R_ex {s : partial_wo} (sc : s ∈ c)
{a b : σ} (hb : b ∈ s.1) {au bu} :
R ⟨a, au⟩ ⟨b, bu⟩ → ∃ ha, s.2.1 ⟨a, ha⟩ ⟨b, hb⟩
| ⟨t, tc, at', bt, h⟩ :=
match hc.total_of_refl sc tc with
| or.inr hr := ⟨sub_of_le hr at', (agree_of_le hr _ _ _ _).1 h⟩
| or.inl hr@⟨f, hf⟩ := begin
rw [← show (f ⟨b, hb⟩) = ⟨(subtype.mk b bu).val, bt⟩, from
subtype.eq (hf _)] at h,
rcases f.init_iff.1 h with ⟨⟨a', ha⟩, e, h'⟩,
have : a' = a,
{ have := congr_arg subtype.val e, rwa hf at this },
subst a', exact ⟨_, h'⟩
end
end
private lemma R_iff {s : partial_wo} (sc : s ∈ c)
{a b : σ} (ha hb) {au bu} :
R ⟨a, au⟩ ⟨b, bu⟩ ↔ s.2.1 ⟨a, ha⟩ ⟨b, hb⟩ :=
⟨λ h, let ⟨_, h⟩ := R_ex sc hb h in h,
λ h, ⟨s, sc, ha, hb, h⟩⟩
private theorem wo : is_well_order U R :=
{ trichotomous := λ ⟨a, au⟩ ⟨b, bu⟩,
let ⟨s, sc, ha, hb⟩ := mem_U2 au bu in
(@trichotomous _ s.2.1 s.2.2.1.1 ⟨a, ha⟩ ⟨b, hb⟩).imp
(R_iff sc _ _).2
(λ o, o.imp (subtype.eq ∘ subtype.mk.inj)
(R_iff sc _ _).2),
irrefl := λ ⟨a, au⟩ h, let ⟨s, sc, ha⟩ := mem_U.1 au in
-- by haveI := s.2.2; exact irrefl _ ((R_iff hc sc _ ha).1 h),
@irrefl _ s.2.1 s.2.2.1.2.1 _ ((R_iff sc _ ha).1 h),
trans := λ ⟨a, au⟩ ⟨b, bu⟩ ⟨d, du⟩ ab bd,
let ⟨s, sc, as, bs⟩ := mem_U2 au bu, ⟨t, tc, dt⟩ := mem_U.1 du,
⟨k, kc, ks, kt⟩ := hc.directed sc tc in begin
simp only [R_iff hc kc, sub_of_le ks as, sub_of_le ks bs, sub_of_le kt dt] at ab bd ⊢,
-- haveI := k.2.2, exact trans ab bd
exact @trans _ k.2.1 k.2.2.1.2.2 _ _ _ ab bd
end,
wf := ⟨λ ⟨a, au⟩, let ⟨s, sc, ha⟩ := mem_U.1 au in
suffices ∀ (a : s.1) (au : a.1 ∈ U), acc R ⟨a.1, au⟩, from this ⟨a, ha⟩ au,
λ a, acc.rec_on ((@is_well_order.wf _ _ s.2.2).apply a) $
λ ⟨a, ha⟩ H IH au, ⟨_, λ ⟨b, hb⟩ h,
let ⟨hb, h⟩ := R_ex sc ha h in IH ⟨b, hb⟩ h _⟩⟩ }
theorem chain_ub : ∃ ub, ∀ a ∈ c, a ≤ ub :=
⟨⟨U, R, wo⟩, λ s sc, ⟨⟨⟨⟨
λ a, ⟨a.1, mem_U.2 ⟨s, sc, a.2⟩⟩,
λ a b h, subtype.eq $ subtype.mk.inj h⟩,
λ a b, by cases a with a ha; cases b with b hb; exact
(R_iff hc sc _ _).symm⟩,
λ ⟨a, ha⟩ ⟨b, hb⟩ h,
let ⟨bs, h'⟩ := R_ex sc ha h in ⟨⟨_, bs⟩, rfl⟩⟩,
λ a, rfl⟩⟩
end
theorem well_ordering_thm : ∃ r, is_well_order σ r :=
let ⟨m, MM⟩ := zorn.zorn (λ c, chain_ub) (λ a b c, partial_wo.trans) in
suffices hf : ∀ a, a ∈ m.1, from
let f : σ ≃ m.1 := ⟨λ a, ⟨a, hf a⟩, λ a, a.1, λ a, rfl, λ ⟨a, ha⟩, rfl⟩ in
⟨order.preimage f m.2.1,
@order_embedding.is_well_order _ _ _ _ (order_iso.preimage f m.2.1 : f ⁻¹'o m.2.1 ≼o m.2.1) m.2.2⟩,
λ a, classical.by_contradiction $ λ ha,
let f : (insert a m.1 : set σ) ≃ (m.1 ⊕ unit) :=
⟨λ x, if h : x.1 ∈ m.1 then sum.inl ⟨_, h⟩ else sum.inr ⟨⟩,
λ x, sum.cases_on x (λ x, ⟨x.1, or.inr x.2⟩) (λ _, ⟨a, or.inl rfl⟩),
λ x, match x with
| ⟨_, or.inl rfl⟩ := by dsimp only; rw dif_neg ha
| ⟨x, or.inr h⟩ := by dsimp only; rw dif_pos h
end,
λ x, by rcases x with ⟨x, h⟩ | ⟨⟨⟩⟩; dsimp only;
[rw [dif_pos h], rw [dif_neg ha]]⟩ in
let r' := sum.lex m.2.1 (@empty_relation unit) in
have r'wo : is_well_order _ r' := @sum.lex.is_well_order _ _ _ _ m.2.2 _,
let m' : partial_wo := ⟨insert a m.1, order.preimage f r',
@order_embedding.is_well_order _ _ _ _ ↑(order_iso.preimage f r') r'wo⟩ in
let g : m.2.1 ≼i r' := ⟨⟨⟨sum.inl, λ a b, sum.inl.inj⟩,
λ a b, sum.lex_inl_inl.symm⟩,
λ a b h, begin
rcases b with b | ⟨⟨⟩⟩,
{ exact ⟨_, rfl⟩ },
{ cases sum.lex_inr_inl h }
end⟩ in
ha (sub_of_le (MM m' ⟨g.trans
(initial_seg.of_iso (order_iso.preimage f r').symm),
λ x, rfl⟩) (or.inl rfl))
end well_ordering_thm
structure Well_order : Type (u+1) :=
(α : Type u)
(r : α → α → Prop)
(wo : is_well_order α r)
instance ordinal.is_equivalent : setoid Well_order :=
{ r := λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, nonempty (r ≃o s),
iseqv := ⟨λ⟨α, r, _⟩, ⟨order_iso.refl _⟩,
λ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨e⟩, ⟨e.symm⟩,
λ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨e₁⟩ ⟨e₂⟩, ⟨e₁.trans e₂⟩⟩ }
/-- `ordinal.{u}` is the type of well orders in `Type u`,
quotient by order isomorphism. -/
def ordinal : Type (u + 1) := quotient ordinal.is_equivalent
namespace ordinal
/-- The order type of a well order is an ordinal. -/
def type (r : α → α → Prop) [wo : is_well_order α r] : ordinal :=
⟦⟨α, r, wo⟩⟧
/-- The order type of an element inside a well order. -/
def typein (r : α → α → Prop) [is_well_order α r] (a : α) : ordinal :=
type (subrel r {b | r b a})
theorem type_def (r : α → α → Prop) [wo : is_well_order α r] :
@eq ordinal ⟦⟨α, r, wo⟩⟧ (type r) := rfl
@[simp] theorem type_def' (r : α → α → Prop) [is_well_order α r] {wo} :
@eq ordinal ⟦⟨α, r, wo⟩⟧ (type r) := rfl
theorem type_eq {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] :
type r = type s ↔ nonempty (r ≃o s) := quotient.eq
@[elab_as_eliminator] theorem induction_on {C : ordinal → Prop}
(o : ordinal) (H : ∀ α r [is_well_order α r], C (type r)) : C o :=
quot.induction_on o $ λ ⟨α, r, wo⟩, @H α r wo
/-- Ordinal less-equal is defined such that
well orders `r` and `s` satisfy `type r ≤ type s` if there exists
a function embedding `r` as an initial segment of `s`. -/
protected def le (a b : ordinal) : Prop :=
quotient.lift_on₂ a b (λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, nonempty (r ≼i s)) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
propext ⟨
λ ⟨h⟩, ⟨(initial_seg.of_iso f.symm).trans $
h.trans (initial_seg.of_iso g)⟩,
λ ⟨h⟩, ⟨(initial_seg.of_iso f).trans $
h.trans (initial_seg.of_iso g.symm)⟩⟩
instance : has_le ordinal := ⟨ordinal.le⟩
theorem type_le {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] :
type r ≤ type s ↔ nonempty (r ≼i s) := iff.rfl
/-- Ordinal less-than is defined such that
well orders `r` and `s` satisfy `type r < type s` if there exists
a function embedding `r` as a principal segment of `s`. -/
def lt (a b : ordinal) : Prop :=
quotient.lift_on₂ a b (λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, nonempty (r ≺i s)) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
by exactI propext ⟨
λ ⟨h⟩, ⟨principal_seg.equiv_lt f.symm $
h.lt_le (initial_seg.of_iso g)⟩,
λ ⟨h⟩, ⟨principal_seg.equiv_lt f $
h.lt_le (initial_seg.of_iso g.symm)⟩⟩
instance : has_lt ordinal := ⟨ordinal.lt⟩
@[simp] theorem type_lt {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] :
type r < type s ↔ nonempty (r ≺i s) := iff.rfl
instance : partial_order ordinal :=
{ le := (≤),
lt := (<),
le_refl := quot.ind $ by exact λ ⟨α, r, wo⟩, ⟨initial_seg.refl _⟩,
le_trans := λ a b c, quotient.induction_on₃ a b c $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ ⟨g⟩, ⟨f.trans g⟩,
lt_iff_le_not_le := λ a b, quotient.induction_on₂ a b $
λ ⟨α, r, _⟩ ⟨β, s, _⟩, by exactI
⟨λ ⟨f⟩, ⟨⟨f⟩, λ ⟨g⟩, (f.lt_le g).irrefl _⟩,
λ ⟨⟨f⟩, h⟩, sum.rec_on f.lt_or_eq (λ g, ⟨g⟩)
(λ g, (h ⟨initial_seg.of_iso g.symm⟩).elim)⟩,
le_antisymm := λ x b, show x ≤ b → b ≤ x → x = b, from
quotient.induction_on₂ x b $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨h₁⟩ ⟨h₂⟩,
by exactI quot.sound ⟨initial_seg.antisymm h₁ h₂⟩ }
theorem typein_lt_type (r : α → α → Prop) [is_well_order α r]
(a : α) : typein r a < type r :=
⟨principal_seg.of_element _ _⟩
@[simp] theorem typein_top {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] (f : r ≺i s) :
typein s f.top = type r :=
eq.symm $ quot.sound ⟨order_iso.of_surjective
(order_embedding.cod_restrict _ f f.lt_top)
(λ ⟨a, h⟩, by rcases f.down'.1 h with ⟨b, rfl⟩; exact ⟨b, rfl⟩)⟩
@[simp] theorem typein_apply {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] (f : r ≼i s) (a : α) :
ordinal.typein s (f a) = ordinal.typein r a :=
eq.symm $ quotient.sound ⟨order_iso.of_surjective
(order_embedding.cod_restrict _
((subrel.order_embedding _ _).trans f)
(λ ⟨x, h⟩, by rw [order_embedding.trans_apply]; exact f.to_order_embedding.ord'.1 h))
(λ ⟨y, h⟩, by rcases f.init' h with ⟨a, rfl⟩;
exact ⟨⟨a, f.to_order_embedding.ord'.2 h⟩, subtype.eq $ order_embedding.trans_apply _ _ _⟩)⟩
@[simp] theorem typein_lt_typein (r : α → α → Prop) [is_well_order α r]
{a b : α} : typein r a < typein r b ↔ r a b :=
⟨λ ⟨f⟩, begin
have : f.top.1 = a,
{ let f' := principal_seg.of_element r a,
let g' := f.trans (principal_seg.of_element r b),
have : g'.top = f'.top, {rw subsingleton.elim f' g'},
exact this },
rw ← this, exact f.top.2
end, λ h, ⟨principal_seg.cod_restrict _
(principal_seg.of_element r a)
(λ x, @trans _ r _ _ _ _ x.2 h) h⟩⟩
theorem typein_surj (r : α → α → Prop) [is_well_order α r]
{o} (h : o < type r) : ∃ a, typein r a = o :=
induction_on o (λ β s _ ⟨f⟩, by exactI ⟨f.top, typein_top _⟩) h
theorem typein_inj (r : α → α → Prop) [is_well_order α r]
{a b} : typein r a = typein r b ↔ a = b :=
⟨λ h, ((@trichotomous _ r _ a b)
.resolve_left (λ hn, ne_of_lt ((typein_lt_typein r).2 hn) h))
.resolve_right (λ hn, ne_of_gt ((typein_lt_typein r).2 hn) h),
congr_arg _⟩
/-- `enum r o h` is the `o`-th element of `α` ordered by `r`.
That is, `enum` maps an initial segment of the ordinals, those
less than the order type of `r`, to the elements of `α`. -/
def enum (r : α → α → Prop) [is_well_order α r] (o) : o < type r → α :=
quot.rec_on o (λ ⟨β, s, _⟩ h, (classical.choice h).top) $
λ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨h⟩, begin
resetI, refine funext (λ (H₂ : type t < type r), _),
have H₁ : type s < type r, {rwa type_eq.2 ⟨h⟩},
have : ∀ {o e} (H : o < type r), @@eq.rec
(λ (o : ordinal), o < type r → α)
(λ (h : type s < type r), (classical.choice h).top)
e H = (classical.choice H₁).top, {intros, subst e},
exact (this H₂).trans (principal_seg.top_eq h
(classical.choice H₁) (classical.choice H₂))
end
theorem enum_type {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] (f : s ≺i r)
{h : type s < type r} : enum r (type s) h = f.top :=
principal_seg.top_eq (order_iso.refl _) _ _
@[simp] theorem enum_typein (r : α → α → Prop) [is_well_order α r] (a : α)
{h : typein r a < type r} : enum r (typein r a) h = a :=
enum_type (principal_seg.of_element r a)
@[simp] theorem typein_enum (r : α → α → Prop) [is_well_order α r]
{o} (h : o < type r) : typein r (enum r o h) = o :=
let ⟨a, e⟩ := typein_surj r h in
by clear _let_match; subst e; rw enum_typein
theorem enum_lt {α β} {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
[is_well_order α r] [is_well_order β s] [is_well_order γ t]
(h₁ : type s < type r) (h₂ : type t < type r) :
r (enum r (type s) h₁) (enum r
(type t) h₂) ↔ type s < type t :=
by rw [← typein_lt_typein r, typein_enum, typein_enum]
theorem wf : @well_founded ordinal (<) :=
⟨λ a, induction_on a $ λ α r wo, by exactI
suffices ∀ a, acc (<) (typein r a), from
⟨_, λ o h, let ⟨a, e⟩ := typein_surj r h in e ▸ this a⟩,
λ a, acc.rec_on (wo.wf.apply a) $ λ x H IH, ⟨_, λ o h, begin
rcases typein_surj r (lt_trans h (typein_lt_type r _)) with ⟨b, rfl⟩,
exact IH _ ((typein_lt_typein r).1 h)
end⟩⟩
instance : has_well_founded ordinal := ⟨(<), wf⟩
/-- The cardinal of an ordinal is the cardinal of any
set with that order type. -/
def card (o : ordinal) : cardinal :=
quot.lift_on o (λ ⟨α, r, _⟩, mk α) $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨e⟩, quotient.sound ⟨e.to_equiv⟩
@[simp] theorem card_type (r : α → α → Prop) [is_well_order α r] :
card (type r) = mk α := rfl
theorem card_le_card {o₁ o₂ : ordinal} : o₁ ≤ o₂ → card o₁ ≤ card o₂ :=
induction_on o₁ $ λ α r _, induction_on o₂ $ λ β s _ ⟨⟨⟨f, _⟩, _⟩⟩, ⟨f⟩
instance : has_zero ordinal :=
⟨⟦⟨pempty, empty_relation, by apply_instance⟩⟧⟩
theorem zero_eq_type_empty : 0 = @type empty empty_relation _ :=
quotient.sound ⟨⟨equiv.empty_equiv_pempty.symm, λ _ _, iff.rfl⟩⟩
@[simp] theorem card_zero : card 0 = 0 := rfl
theorem zero_le (o : ordinal) : 0 ≤ o :=
induction_on o $ λ α r _,
⟨⟨⟨embedding.of_not_nonempty $ λ ⟨a⟩, a.elim,
λ a, a.elim⟩, λ a, a.elim⟩⟩
@[simp] theorem le_zero {o : ordinal} : o ≤ 0 ↔ o = 0 :=
by simp only [le_antisymm_iff, zero_le, and_true]
theorem pos_iff_ne_zero {o : ordinal} : 0 < o ↔ o ≠ 0 :=
by simp only [lt_iff_le_and_ne, zero_le, true_and, ne.def, eq_comm]
instance : has_one ordinal :=
⟨⟦⟨punit, empty_relation, by apply_instance⟩⟧⟩
theorem one_eq_type_unit : 1 = @type unit empty_relation _ :=
quotient.sound ⟨⟨equiv.punit_equiv_punit, λ _ _, iff.rfl⟩⟩
@[simp] theorem card_one : card 1 = 1 := rfl
instance : has_add ordinal.{u} :=
⟨λo₁ o₂, quotient.lift_on₂ o₁ o₂
(λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, ⟦⟨α ⊕ β, sum.lex r s, by exactI sum.lex.is_well_order⟩⟧
: Well_order → Well_order → ordinal) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
quot.sound ⟨order_iso.sum_lex_congr f g⟩⟩
@[simp] theorem type_add {α β : Type u} (r : α → α → Prop) (s : β → β → Prop)
[is_well_order α r] [is_well_order β s] : type r + type s = type (sum.lex r s) := rfl
/-- The ordinal successor is the smallest ordinal larger than `o`.
It is defined as `o + 1`. -/
def succ (o : ordinal) : ordinal := o + 1
theorem succ_eq_add_one (o) : succ o = o + 1 := rfl
theorem lt_succ_self (o : ordinal.{u}) : o < succ o :=
induction_on o $ λ α r _, ⟨⟨⟨⟨λ x, sum.inl x, λ _ _, sum.inl.inj⟩,
λ _ _, sum.lex_inl_inl.symm⟩,
sum.inr punit.star, λ b, sum.rec_on b
(λ x, ⟨λ _, ⟨x, rfl⟩, λ _, sum.lex.sep _ _ _ _⟩)
(λ x, sum.lex_inr_inr.trans ⟨false.elim, λ ⟨x, H⟩, sum.inl_ne_inr H⟩)⟩⟩
theorem succ_pos (o : ordinal) : 0 < succ o :=
lt_of_le_of_lt (zero_le _) (lt_succ_self _)
theorem succ_ne_zero (o : ordinal) : succ o ≠ 0 :=
ne_of_gt $ succ_pos o
theorem succ_le {a b : ordinal} : succ a ≤ b ↔ a < b :=
⟨lt_of_lt_of_le (lt_succ_self _),
induction_on a $ λ α r hr, induction_on b $ λ β s hs ⟨⟨f, t, hf⟩⟩, begin
refine ⟨⟨@order_embedding.of_monotone (α ⊕ punit) β _ _
(@sum.lex.is_well_order _ _ _ _ hr _).1.1
(@is_asymm_of_is_trans_of_is_irrefl _ _ hs.1.2.2 hs.1.2.1)
(sum.rec _ _) (λ a b, _), λ a b, _⟩⟩,
{ exact f }, { exact λ _, t },
{ rcases a with a|_; rcases b with b|_,
{ simpa only [sum.lex_inl_inl] using f.ord'.1 },
{ intro _, rw hf, exact ⟨_, rfl⟩ },
{ exact false.elim ∘ sum.lex_inr_inl },
{ exact false.elim ∘ sum.lex_inr_inr.1 } },
{ rcases a with a|_,
{ intro h, have := @principal_seg.init _ _ _ _ hs.1.2.2 ⟨f, t, hf⟩ _ _ h,
cases this with w h, exact ⟨sum.inl w, h⟩ },
{ intro h, cases (hf b).1 h with w h, exact ⟨sum.inl w, h⟩ } }
end⟩
@[simp] theorem card_add (o₁ o₂ : ordinal) : card (o₁ + o₂) = card o₁ + card o₂ :=
induction_on o₁ $ λ α r _, induction_on o₂ $ λ β s _, rfl
@[simp] theorem card_succ (o : ordinal) : card (succ o) = card o + 1 :=
by simp only [succ, card_add, card_one]
@[simp] theorem card_nat (n : ℕ) : card.{u} n = n :=
by induction n; [refl, simp only [card_add, card_one, nat.cast_succ, *]]
theorem nat_cast_succ (n : ℕ) : (succ n : ordinal) = n.succ := rfl
instance : add_monoid ordinal.{u} :=
{ add := (+),
zero := 0,
zero_add := λ o, induction_on o $ λ α r _, eq.symm $ quotient.sound
⟨⟨(equiv.pempty_sum α).symm, λ a b, sum.lex_inr_inr.symm⟩⟩,
add_zero := λ o, induction_on o $ λ α r _, eq.symm $ quotient.sound
⟨⟨(equiv.sum_pempty α).symm, λ a b, sum.lex_inl_inl.symm⟩⟩,
add_assoc := λ o₁ o₂ o₃, quotient.induction_on₃ o₁ o₂ o₃ $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩, quot.sound
⟨⟨equiv.sum_assoc _ _ _, λ a b,
begin rcases a with ⟨a|a⟩|a; rcases b with ⟨b|b⟩|b;
simp only [equiv.sum_assoc_apply_in1, equiv.sum_assoc_apply_in2, equiv.sum_assoc_apply_in3,
sum.lex_inl_inl, sum.lex_inr_inr, sum.lex.sep, sum.lex_inr_inl] end⟩⟩ }
theorem add_succ (o₁ o₂ : ordinal) : o₁ + succ o₂ = succ (o₁ + o₂) :=
(add_assoc _ _ _).symm
@[simp] theorem succ_zero : succ 0 = 1 := zero_add _
theorem one_le_iff_pos {o : ordinal} : 1 ≤ o ↔ 0 < o :=
by rw [← succ_zero, succ_le]
theorem one_le_iff_ne_zero {o : ordinal} : 1 ≤ o ↔ o ≠ 0 :=
by rw [one_le_iff_pos, pos_iff_ne_zero]
theorem add_le_add_left {a b : ordinal} : a ≤ b → ∀ c, c + a ≤ c + b :=
induction_on a $ λ α₁ r₁ _, induction_on b $ λ α₂ r₂ _ ⟨⟨⟨f, fo⟩, fi⟩⟩ c,
induction_on c $ λ β s _,
⟨⟨⟨(embedding.refl _).sum_congr f,
λ a b, match a, b with
| sum.inl a, sum.inl b := sum.lex_inl_inl.trans sum.lex_inl_inl.symm
| sum.inl a, sum.inr b := by apply iff_of_true; apply sum.lex.sep
| sum.inr a, sum.inl b := by apply iff_of_false; exact sum.lex_inr_inl
| sum.inr a, sum.inr b := sum.lex_inr_inr.trans $ fo.trans sum.lex_inr_inr.symm
end⟩,
λ a b H, match a, b, H with
| _, sum.inl b, _ := ⟨sum.inl b, rfl⟩
| sum.inl a, sum.inr b, H := (sum.lex_inr_inl H).elim
| sum.inr a, sum.inr b, H := let ⟨w, h⟩ := fi _ _ (sum.lex_inr_inr.1 H) in
⟨sum.inr w, congr_arg sum.inr h⟩
end⟩⟩
theorem le_add_right (a b : ordinal) : a ≤ a + b :=
by simpa only [add_zero] using add_le_add_left (zero_le b) a
theorem add_le_add_iff_left (a) {b c : ordinal} : a + b ≤ a + c ↔ b ≤ c :=
⟨induction_on a $ λ α r hr, induction_on b $ λ β₁ s₁ hs₁, induction_on c $ λ β₂ s₂ hs₂ ⟨f⟩, ⟨
have fl : ∀ a, f (sum.inl a) = sum.inl a := λ a,
by simpa only [initial_seg.trans_apply, initial_seg.le_add_apply]
using @initial_seg.eq _ _ _ _ (@sum.lex.is_well_order _ _ _ _ hr hs₂)
((initial_seg.le_add r s₁).trans f) (initial_seg.le_add r s₂) a,
have ∀ b, {b' // f (sum.inr b) = sum.inr b'}, begin
intro b, cases e : f (sum.inr b),
{ rw ← fl at e, have := f.inj e, contradiction },
{ exact ⟨_, rfl⟩ }
end,
let g (b) := (this b).1 in
have fr : ∀ b, f (sum.inr b) = sum.inr (g b), from λ b, (this b).2,
⟨⟨⟨g, λ x y h, by injection f.inj
(by rw [fr, fr, h] : f (sum.inr x) = f (sum.inr y))⟩,
λ a b, by simpa only [sum.lex_inr_inr, fr, order_embedding.coe_fn_to_embedding,
initial_seg.coe_fn_to_order_embedding, function.embedding.coe_fn_mk]
using @order_embedding.ord _ _ _ _ f.to_order_embedding (sum.inr a) (sum.inr b)⟩,
λ a b H, begin
rcases f.init' (by rw fr; exact sum.lex_inr_inr.2 H) with ⟨a'|a', h⟩,
{ rw fl at h, cases h },
{ rw fr at h, exact ⟨a', sum.inr.inj h⟩ }
end⟩⟩,
λ h, add_le_add_left h _⟩
theorem add_left_cancel (a) {b c : ordinal} : a + b = a + c ↔ b = c :=
by simp only [le_antisymm_iff, add_le_add_iff_left]
/-- The universe lift operation for ordinals, which embeds `ordinal.{u}` as
a proper initial segment of `ordinal.{v}` for `v > u`. -/
def lift (o : ordinal.{u}) : ordinal.{max u v} :=
quotient.lift_on o (λ ⟨α, r, wo⟩,
@type _ _ (@order_embedding.is_well_order _ _ (@equiv.ulift.{u v} α ⁻¹'o r) r
(order_iso.preimage equiv.ulift.{u v} r) wo)) $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨f⟩,
quot.sound ⟨(order_iso.preimage equiv.ulift r).trans $
f.trans (order_iso.preimage equiv.ulift s).symm⟩
theorem lift_type {α} (r : α → α → Prop) [is_well_order α r] :
∃ wo', lift (type r) = @type _ (@equiv.ulift.{u v} α ⁻¹'o r) wo' :=
⟨_, rfl⟩
theorem lift_umax : lift.{u (max u v)} = lift.{u v} :=
funext $ λ a, induction_on a $ λ α r _,
quotient.sound ⟨(order_iso.preimage equiv.ulift r).trans (order_iso.preimage equiv.ulift r).symm⟩
theorem lift_id' (a : ordinal) : lift a = a :=
induction_on a $ λ α r _,
quotient.sound ⟨order_iso.preimage equiv.ulift r⟩
@[simp] theorem lift_id : ∀ a, lift.{u u} a = a := lift_id'.{u u}
@[simp] theorem lift_lift (a : ordinal) : lift.{(max u v) w} (lift.{u v} a) = lift.{u (max v w)} a :=
induction_on a $ λ α r _,
quotient.sound ⟨(order_iso.preimage equiv.ulift _).trans $
(order_iso.preimage equiv.ulift _).trans (order_iso.preimage equiv.ulift _).symm⟩
theorem lift_type_le {α : Type u} {β : Type v} {r s} [is_well_order α r] [is_well_order β s] :
lift.{u (max v w)} (type r) ≤ lift.{v (max u w)} (type s) ↔ nonempty (r ≼i s) :=
⟨λ ⟨f⟩, ⟨(initial_seg.of_iso (order_iso.preimage equiv.ulift r).symm).trans $
f.trans (initial_seg.of_iso (order_iso.preimage equiv.ulift s))⟩,
λ ⟨f⟩, ⟨(initial_seg.of_iso (order_iso.preimage equiv.ulift r)).trans $
f.trans (initial_seg.of_iso (order_iso.preimage equiv.ulift s).symm)⟩⟩
theorem lift_type_eq {α : Type u} {β : Type v} {r s} [is_well_order α r] [is_well_order β s] :
lift.{u (max v w)} (type r) = lift.{v (max u w)} (type s) ↔ nonempty (r ≃o s) :=
quotient.eq.trans
⟨λ ⟨f⟩, ⟨(order_iso.preimage equiv.ulift r).symm.trans $
f.trans (order_iso.preimage equiv.ulift s)⟩,
λ ⟨f⟩, ⟨(order_iso.preimage equiv.ulift r).trans $
f.trans (order_iso.preimage equiv.ulift s).symm⟩⟩
theorem lift_type_lt {α : Type u} {β : Type v} {r s} [is_well_order α r] [is_well_order β s] :
lift.{u (max v w)} (type r) < lift.{v (max u w)} (type s) ↔ nonempty (r ≺i s) :=
by haveI := @order_embedding.is_well_order _ _ (@equiv.ulift.{u (max v w)} α ⁻¹'o r)
r (order_iso.preimage equiv.ulift.{u (max v w)} r) _;
haveI := @order_embedding.is_well_order _ _ (@equiv.ulift.{v (max u w)} β ⁻¹'o s)
s (order_iso.preimage equiv.ulift.{v (max u w)} s) _; exact
⟨λ ⟨f⟩, ⟨(f.equiv_lt (order_iso.preimage equiv.ulift r).symm).lt_le
(initial_seg.of_iso (order_iso.preimage equiv.ulift s))⟩,
λ ⟨f⟩, ⟨(f.equiv_lt (order_iso.preimage equiv.ulift r)).lt_le
(initial_seg.of_iso (order_iso.preimage equiv.ulift s).symm)⟩⟩
@[simp] theorem lift_le {a b : ordinal} : lift.{u v} a ≤ lift b ↔ a ≤ b :=
induction_on a $ λ α r _, induction_on b $ λ β s _,
by rw ← lift_umax; exactI lift_type_le
@[simp] theorem lift_inj {a b : ordinal} : lift a = lift b ↔ a = b :=
by simp only [le_antisymm_iff, lift_le]
@[simp] theorem lift_lt {a b : ordinal} : lift a < lift b ↔ a < b :=
by simp only [lt_iff_le_not_le, lift_le]
@[simp] theorem lift_zero : lift 0 = 0 :=
quotient.sound ⟨(order_iso.preimage equiv.ulift _).trans
⟨equiv.pempty_equiv_pempty, λ a b, iff.rfl⟩⟩
theorem zero_eq_lift_type_empty : 0 = lift.{0 u} (@type empty empty_relation _) :=
by rw [← zero_eq_type_empty, lift_zero]
@[simp] theorem lift_one : lift 1 = 1 :=
quotient.sound ⟨(order_iso.preimage equiv.ulift _).trans
⟨equiv.punit_equiv_punit, λ a b, iff.rfl⟩⟩
theorem one_eq_lift_type_unit : 1 = lift.{0 u} (@type unit empty_relation _) :=
by rw [← one_eq_type_unit, lift_one]
@[simp] theorem lift_add (a b) : lift (a + b) = lift a + lift b :=
quotient.induction_on₂ a b $ λ ⟨α, r, _⟩ ⟨β, s, _⟩,
quotient.sound ⟨(order_iso.preimage equiv.ulift _).trans
(order_iso.sum_lex_congr (order_iso.preimage equiv.ulift _)
(order_iso.preimage equiv.ulift _)).symm⟩
@[simp] theorem lift_succ (a) : lift (succ a) = succ (lift a) :=
by unfold succ; simp only [lift_add, lift_one]
@[simp] theorem lift_card (a) : (card a).lift = card (lift a) :=
induction_on a $ λ α r _, rfl
theorem lift_down' {a : cardinal.{u}} {b : ordinal.{max u v}}
(h : card b ≤ a.lift) : ∃ a', lift a' = b :=
let ⟨c, e⟩ := cardinal.lift_down h in
quotient.induction_on c (λ α, induction_on b $ λ β s _ e', begin
resetI,
rw [mk_def, card_type, ← cardinal.lift_id'.{(max u v) u} (mk β),
← cardinal.lift_umax.{u v}, lift_mk_eq.{u (max u v) (max u v)}] at e',
cases e' with f,
have g := order_iso.preimage f s,
haveI := g.to_order_embedding.is_well_order,
have := lift_type_eq.{u (max u v) (max u v)}.2 ⟨g⟩,
rw [lift_id, lift_umax.{u v}] at this,
exact ⟨_, this⟩
end) e
theorem lift_down {a : ordinal.{u}} {b : ordinal.{max u v}}
(h : b ≤ lift a) : ∃ a', lift a' = b :=
@lift_down' (card a) _ (by rw lift_card; exact card_le_card h)
theorem le_lift_iff {a : ordinal.{u}} {b : ordinal.{max u v}} :
b ≤ lift a ↔ ∃ a', lift a' = b ∧ a' ≤ a :=
⟨λ h, let ⟨a', e⟩ := lift_down h in ⟨a', e, lift_le.1 $ e.symm ▸ h⟩,
λ ⟨a', e, h⟩, e ▸ lift_le.2 h⟩
theorem lt_lift_iff {a : ordinal.{u}} {b : ordinal.{max u v}} :
b < lift a ↔ ∃ a', lift a' = b ∧ a' < a :=
⟨λ h, let ⟨a', e⟩ := lift_down (le_of_lt h) in
⟨a', e, lift_lt.1 $ e.symm ▸ h⟩,
λ ⟨a', e, h⟩, e ▸ lift_lt.2 h⟩
/-- `ω` is the first infinite ordinal, defined as the order type of `ℕ`. -/
def omega : ordinal.{u} := lift $ @type ℕ (<) _
theorem card_omega : card omega = cardinal.omega := rfl
@[simp] theorem lift_omega : lift omega = omega := lift_lift _
theorem type_le' {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] : type r ≤ type s ↔ nonempty (r ≼o s) :=
⟨λ ⟨f⟩, ⟨f⟩, λ ⟨f⟩, ⟨f.collapse⟩⟩
theorem add_le_add_right {a b : ordinal} : a ≤ b → ∀ c, a + c ≤ b + c :=
induction_on a $ λ α₁ r₁ hr₁, induction_on b $ λ α₂ r₂ hr₂ ⟨⟨⟨f, fo⟩, fi⟩⟩ c,
induction_on c $ λ β s hs, (@type_le' _ _ _ _
(@sum.lex.is_well_order _ _ _ _ hr₁ hs)
(@sum.lex.is_well_order _ _ _ _ hr₂ hs)).2
⟨⟨embedding.sum_congr f (embedding.refl _), λ a b, begin
split; intro H,
{ cases H; constructor; [rwa ← fo, assumption] },
{ cases a with a a; cases b with b b; cases H; constructor; [rwa fo, assumption] }
end⟩⟩
theorem le_add_left (a b : ordinal) : a ≤ b + a :=
by simpa only [zero_add] using add_le_add_right (zero_le b) a
theorem le_total (a b : ordinal) : a ≤ b ∨ b ≤ a :=
match lt_or_eq_of_le (le_add_left b a), lt_or_eq_of_le (le_add_right a b) with
| or.inr h, _ := by rw h; exact or.inl (le_add_right _ _)
| _, or.inr h := by rw h; exact or.inr (le_add_left _ _)
| or.inl h₁, or.inl h₂ := induction_on a (λ α₁ r₁ _,
induction_on b $ λ α₂ r₂ _ ⟨f⟩ ⟨g⟩, begin
resetI,
rw [← typein_top f, ← typein_top g, le_iff_lt_or_eq,
le_iff_lt_or_eq, typein_lt_typein, typein_lt_typein],
rcases trichotomous_of (sum.lex r₁ r₂) g.top f.top with h|h|h;
[exact or.inl (or.inl h), {left, right, rw h}, exact or.inr (or.inl h)]
end) h₁ h₂
end
instance : decidable_linear_order ordinal :=
{ le_total := le_total,
decidable_le := classical.dec_rel _,
..ordinal.partial_order }
theorem lt_succ {a b : ordinal} : a < succ b ↔ a ≤ b :=
by rw [← not_le, succ_le, not_lt]
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]
theorem lt_of_add_lt_add_right {a b c : ordinal} : a + b < c + b → a < c :=
le_imp_le_iff_lt_imp_lt.1 (λ h, add_le_add_right h _)
@[simp] theorem succ_lt_succ {a b : ordinal} : succ a < succ b ↔ a < b :=
by rw [lt_succ, succ_le]
@[simp] theorem succ_le_succ {a b : ordinal} : succ a ≤ succ b ↔ a ≤ b :=
le_iff_le_iff_lt_iff_lt.2 succ_lt_succ
theorem succ_inj {a b : ordinal} : succ a = succ b ↔ a = b :=
by simp only [le_antisymm_iff, succ_le_succ]
theorem add_le_add_iff_right {a b : ordinal} (n : ℕ) : a + n ≤ b + n ↔ a ≤ b :=
by induction n with n ih; [rw [nat.cast_zero, add_zero, add_zero],
rw [← nat_cast_succ, add_succ, add_succ, succ_le_succ, ih]]
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]
@[simp] theorem card_eq_zero {o} : card o = 0 ↔ o = 0 :=
⟨induction_on o $ λ α r _ h, begin
refine le_antisymm (le_of_not_lt $
λ hn, ne_zero_iff_nonempty.2 _ h) (zero_le _),
rw [← succ_le, succ_zero] at hn, cases hn with f,
exact ⟨f punit.star⟩
end, λ e, by simp only [e, card_zero]⟩
@[simp] theorem type_ne_zero_iff_nonempty [is_well_order α r] : type r ≠ 0 ↔ nonempty α :=
(not_congr (@card_eq_zero (type r))).symm.trans ne_zero_iff_nonempty
@[simp] theorem type_eq_zero_iff_empty [is_well_order α r] : type r = 0 ↔ ¬ nonempty α :=
(not_iff_comm.1 type_ne_zero_iff_nonempty).symm
instance : zero_ne_one_class ordinal.{u} :=
{ zero := 0, one := 1, zero_ne_one :=
ne.symm $ type_ne_zero_iff_nonempty.2 ⟨punit.star⟩ }
theorem zero_lt_one : (0 : ordinal) < 1 :=
lt_iff_le_and_ne.2 ⟨zero_le _, zero_ne_one⟩
/-- The ordinal predecessor of `o` is `o'` if `o = succ o'`,
and `o` otherwise. -/
def pred (o : ordinal.{u}) : ordinal.{u} :=
if h : ∃ a, o = succ a then classical.some 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_inj.1 $ classical.some_spec h).symm
theorem pred_le_self (o) : pred o ≤ o :=
if h : ∃ a, o = succ a then let ⟨a, e⟩ := h in
by rw [e, pred_succ]; exact le_of_lt (lt_succ_self _)
else by rw [pred, dif_neg h]
theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬ ∃ a, o = succ a :=
⟨λ e ⟨a, e'⟩, by rw [e', pred_succ] at e; exact ne_of_lt (lt_succ_self _) e,
λ h, dif_neg h⟩
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
theorem succ_pred_iff_is_succ {o} : succ (pred o) = o ↔ ∃ a, o = succ a :=
⟨λ e, ⟨_, e.symm⟩, λ ⟨a, e⟩, by simp only [e, pred_succ]⟩
theorem succ_lt_of_not_succ {o} (h : ¬ ∃ a, o = succ a) {b} : succ b < o ↔ b < o :=
⟨lt_trans (lt_succ_self _), λ l,
lt_of_le_of_ne (succ_le.2 l) (λ e, h ⟨_, e.symm⟩)⟩
theorem lt_pred {a b} : a < pred b ↔ succ a < b :=
if h : ∃ a, b = succ a then let ⟨c, e⟩ := h in
by rw [e, pred_succ, succ_lt_succ]
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} : (∃ a, lift o = succ a) ↔ (∃ a, o = succ a) :=
⟨λ ⟨a, h⟩,
let ⟨b, e⟩ := lift_down $ show a ≤ lift o, from le_of_lt $
h.symm ▸ lt_succ_self _ in
⟨b, lift_inj.1 $ by rw [h, ← e, lift_succ]⟩,
λ ⟨a, h⟩, ⟨lift a, by simp only [h, lift_succ]⟩⟩
@[simp] theorem lift_pred (o) : lift (pred o) = pred (lift o) :=
if h : ∃ a, o = succ a then
by cases h with a e; simp only [e, pred_succ, lift_succ]
else by rw [pred_eq_iff_not_succ.2 h,
pred_eq_iff_not_succ.2 (mt lift_is_succ.1 h)]
/-- A limit ordinal is an ordinal which is not zero and not a successor. -/
def is_limit (o : ordinal) : Prop := o ≠ 0 ∧ ∀ a < o, succ a < o
theorem not_zero_is_limit : ¬ is_limit 0
| ⟨h, _⟩ := h rfl
theorem not_succ_is_limit (o) : ¬ is_limit (succ o)
| ⟨_, h⟩ := lt_irrefl _ (h _ (lt_succ_self _))
theorem not_succ_of_is_limit {o} (h : is_limit o) : ¬ ∃ a, o = succ a
| ⟨a, e⟩ := not_succ_is_limit a (e ▸ h)
theorem succ_lt_of_is_limit {o} (h : is_limit o) {a} : succ a < o ↔ a < o :=
⟨lt_trans (lt_succ_self _), h.2 _⟩
theorem le_succ_of_is_limit {o} (h : is_limit o) {a} : o ≤ succ a ↔ o ≤ a :=
le_iff_le_iff_lt_iff_lt.2 $ succ_lt_of_is_limit h
theorem limit_le {o} (h : is_limit o) {a} : o ≤ a ↔ ∀ x < o, x ≤ a :=
⟨λ h x l, le_trans (le_of_lt l) h,
λ H, (le_succ_of_is_limit h).1 $ le_of_not_lt $ λ hn,
not_lt_of_le (H _ hn) (lt_succ_self _)⟩
theorem lt_limit {o} (h : is_limit o) {a} : a < o ↔ ∃ x < o, a < x :=
by simpa only [not_ball, not_le] using not_congr (@limit_le _ h a)
@[simp] theorem lift_is_limit (o) : is_limit (lift o) ↔ is_limit o :=
and_congr (not_congr $ by simpa only [lift_zero] using @lift_inj o 0)
⟨λ H a h, lift_lt.1 $ by simpa only [lift_succ] using H _ (lift_lt.2 h),
λ H a h, let ⟨a', e⟩ := lift_down (le_of_lt h) in
by rw [← e, ← lift_succ, lift_lt];
rw [← e, lift_lt] at h; exact H a' h⟩
theorem is_limit.pos {o : ordinal} (h : is_limit o) : 0 < o :=
lt_of_le_of_ne (zero_le _) h.1.symm
theorem is_limit.one_lt {o : ordinal} (h : is_limit o) : 1 < o :=
by simpa only [succ_zero] using h.2 _ h.pos
theorem is_limit.nat_lt {o : ordinal} (h : is_limit o) : ∀ n : ℕ, (n : ordinal) < o
| 0 := h.pos
| (n+1) := h.2 _ (is_limit.nat_lt n)
theorem zero_or_succ_or_limit (o : ordinal) :
o = 0 ∨ (∃ a, o = succ a) ∨ is_limit o :=
if o0 : o = 0 then or.inl o0 else
if h : ∃ a, o = succ a then or.inr (or.inl h) else
or.inr $ or.inr ⟨o0, λ a, (succ_lt_of_not_succ h).2⟩
instance : is_well_order ordinal (<) := ⟨wf⟩
@[elab_as_eliminator] def limit_rec_on {C : ordinal → Sort*}
(o : ordinal) (H₁ : C 0) (H₂ : ∀ o, C o → C (succ o))
(H₃ : ∀ o, is_limit o → (∀ o' < o, C o') → C o) : C o :=
wf.fix (λ o IH,
if o0 : o = 0 then by rw o0; exact H₁ else
if h : ∃ a, o = succ a then
by rw ← succ_pred_iff_is_succ.2 h; exact
H₂ _ (IH _ $ pred_lt_iff_is_succ.2 h)
else H₃ _ ⟨o0, λ a, (succ_lt_of_not_succ h).2⟩ IH) o
@[simp] theorem limit_rec_on_zero {C} (H₁ H₂ H₃) : @limit_rec_on C 0 H₁ H₂ H₃ = H₁ :=
by rw [limit_rec_on, well_founded.fix_eq, dif_pos rfl]; refl
@[simp] theorem limit_rec_on_succ {C} (o H₁ H₂ H₃) :
@limit_rec_on C (succ o) H₁ H₂ H₃ = H₂ o (@limit_rec_on C o H₁ H₂ H₃) :=
begin
have h : ∃ a, succ o = succ a := ⟨_, rfl⟩,
rw [limit_rec_on, well_founded.fix_eq,
dif_neg (succ_ne_zero o), dif_pos h],
generalize : limit_rec_on._proof_2 (succ o) h = h₂,
generalize : limit_rec_on._proof_3 (succ o) h = h₃,
revert h₂ h₃, generalize e : pred (succ o) = o', intros,
rw pred_succ at e, subst o', refl
end
@[simp] theorem limit_rec_on_limit {C} (o H₁ H₂ H₃ h) :
@limit_rec_on C o H₁ H₂ H₃ = H₃ o h (λ x h, @limit_rec_on C x H₁ H₂ H₃) :=
by rw [limit_rec_on, well_founded.fix_eq,
dif_neg h.1, dif_neg (not_succ_of_is_limit h)]; refl
/-- A normal ordinal function is a strictly increasing function which is
order-continuous. -/
def is_normal (f : ordinal → ordinal) : Prop :=
(∀ o, f o < f (succ o)) ∧ ∀ o, is_limit o → ∀ a, f o ≤ a ↔ ∀ b < o, f b ≤ a
theorem is_normal.limit_le {f} (H : is_normal f) : ∀ {o}, is_limit o →
∀ {a}, f o ≤ a ↔ ∀ b < o, f b ≤ a := H.2
theorem is_normal.limit_lt {f} (H : is_normal f) {o} (h : is_limit 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 is_normal.lt_iff {f} (H : is_normal f) {a b} : f a < f b ↔ a < b :=
lt_iff_lt_of_strict_mono f $ λ a b,
limit_rec_on b (not.elim (not_lt_of_le $ zero_le _))
(λ b IH h, (lt_or_eq_of_le (lt_succ.1 h)).elim
(λ h, lt_trans (IH h) (H.1 _))
(λ e, e ▸ H.1 _))
(λ b l IH h, lt_of_lt_of_le (H.1 a)
((H.2 _ l _).1 (le_refl _) _ (l.2 _ h)))
theorem is_normal.le_iff {f} (H : is_normal f) {a b} : f a ≤ f b ↔ a ≤ b :=
le_iff_le_iff_lt_iff_lt.2 H.lt_iff
theorem is_normal.inj {f} (H : is_normal f) {a b} : f a = f b ↔ a = b :=
by simp only [le_antisymm_iff, H.le_iff]
theorem is_normal.le_self {f} (H : is_normal f) (a) : a ≤ f a :=
limit_rec_on a (zero_le _)
(λ a IH, succ_le.2 $ lt_of_le_of_lt IH (H.1 _))
(λ a l IH, (limit_le l).2 $ λ b h,
le_trans (IH b h) $ H.le_iff.2 $ le_of_lt h)
theorem is_normal.le_set {f} (H : is_normal f) (p : ordinal → Prop)
(p0 : ∃ x, p x) (S)
(H₂ : ∀ o, S ≤ o ↔ ∀ a, p a → a ≤ o) {o} :
f S ≤ o ↔ ∀ a, p a → f a ≤ o :=
⟨λ h a pa, le_trans (H.le_iff.2 ((H₂ _).1 (le_refl _) _ pa)) h,
λ h, begin
revert H₂, apply limit_rec_on S,
{ intro H₂,
cases p0 with x px,
have := le_zero.1 ((H₂ _).1 (zero_le _) _ px),
rw this at px, exact h _ px },
{ intros S _ H₂,
rcases not_ball.1 (mt (H₂ S).2 $ not_le_of_lt $ lt_succ_self _) with ⟨a, h₁, h₂⟩,
exact le_trans (H.le_iff.2 $ succ_le.2 $ not_le.1 h₂) (h _ h₁) },
{ intros S L _ H₂, apply (H.2 _ L _).2, intros a h',
rcases not_ball.1 (mt (H₂ a).2 (not_le.2 h')) with ⟨b, h₁, h₂⟩,
exact le_trans (H.le_iff.2 $ le_of_lt $ not_le.1 h₂) (h _ h₁) }
end⟩
theorem is_normal.le_set' {f} (H : is_normal f) (p : α → Prop) (g : α → ordinal)
(p0 : ∃ x, p x) (S)
(H₂ : ∀ o, S ≤ o ↔ ∀ a, p a → g a ≤ o) {o} :
f S ≤ o ↔ ∀ a, p a → f (g a) ≤ o :=
(H.le_set (λ x, ∃ y, p y ∧ x = g y)
(let ⟨x, px⟩ := p0 in ⟨_, _, px, rfl⟩) _
(λ o, (H₂ o).trans ⟨λ H a ⟨y, h1, h2⟩, h2.symm ▸ H y h1,
λ H a h1, H (g a) ⟨a, h1, rfl⟩⟩)).trans
⟨λ H a h, H (g a) ⟨a, h, rfl⟩, λ H a ⟨y, h1, h2⟩, h2.symm ▸ H y h1⟩
theorem is_normal.refl : is_normal id :=
⟨λ x, lt_succ_self _, λ o l a, limit_le l⟩
theorem is_normal.trans {f g} (H₁ : is_normal f) (H₂ : is_normal g) :
is_normal (λ x, f (g x)) :=
⟨λ x, H₁.lt_iff.2 (H₂.1 _),
λ o l a, H₁.le_set' (< o) g ⟨_, l.pos⟩ _ (λ c, H₂.2 _ l _)⟩
theorem is_normal.is_limit {f} (H : is_normal f) {o} (l : is_limit o) :
is_limit (f o) :=
⟨ne_of_gt $ lt_of_le_of_lt (zero_le _) $ H.lt_iff.2 l.pos,
λ a h, let ⟨b, h₁, h₂⟩ := (H.limit_lt l).1 h in
lt_of_le_of_lt (succ_le.2 h₂) (H.lt_iff.2 h₁)⟩
theorem add_le_of_limit {a b c : ordinal.{u}}
(h : is_limit b) : a + b ≤ c ↔ ∀ b' < b, a + b' ≤ c :=
⟨λ h b' l, le_trans (add_le_add_left (le_of_lt l) _) h,
λ H, le_of_not_lt $
induction_on a (λ α r _, induction_on b $ λ β s _ h H l, begin
resetI,
suffices : ∀ x : β, sum.lex r s (sum.inr x) (enum _ _ l),
{ cases enum _ _ l with x x,
{ cases this (enum s 0 h.pos) },
{ exact irrefl _ (this _) } },
intros x,
rw [← typein_lt_typein (sum.lex r s), typein_enum],
have := H _ (h.2 _ (typein_lt_type s x)),
rw [add_succ, succ_le] at this,
refine lt_of_le_of_lt (type_le'.2
⟨order_embedding.of_monotone (λ a, _) (λ a b, _)⟩) 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 }
end) h H⟩
theorem add_is_normal (a : ordinal) : is_normal ((+) a) :=
⟨λ b, (add_lt_add_iff_left a).2 (lt_succ_self _),
λ b l c, add_le_of_limit l⟩
theorem add_is_limit (a) {b} : is_limit b → is_limit (a + b) :=
(add_is_normal a).is_limit
def typein.principal_seg {α : Type u} (r : α → α → Prop) [is_well_order α r] :
@principal_seg α ordinal.{u} r (<) :=
⟨order_embedding.of_monotone (typein r)
(λ a b, (typein_lt_typein r).2), type r, λ b,
⟨λ h, ⟨enum r _ h, typein_enum r h⟩,
λ ⟨a, e⟩, e ▸ typein_lt_type _ _⟩⟩
@[simp] theorem typein.principal_seg_coe (r : α → α → Prop) [is_well_order α r] :
(typein.principal_seg r : α → ordinal) = typein r := rfl
/-- The minimal element of a nonempty family of ordinals -/
def min {ι} (I : nonempty ι) (f : ι → ordinal) : ordinal :=
wf.min (set.range f) (let ⟨i⟩ := I in set.ne_empty_of_mem (set.mem_range_self i))
theorem min_eq {ι} (I) (f : ι → ordinal) : ∃ i, min I f = f i :=
let ⟨i, e⟩ := wf.min_mem (set.range f) _ in ⟨i, e.symm⟩
theorem min_le {ι I} (f : ι → ordinal) (i) : min I f ≤ f i :=
le_of_not_gt $ wf.not_lt_min (set.range f) _ (set.mem_range_self i)
theorem le_min {ι I} {f : ι → ordinal} {a} : a ≤ min I f ↔ ∀ i, a ≤ f i :=
⟨λ h i, le_trans h (min_le _ _),
λ h, let ⟨i, e⟩ := min_eq I f in e.symm ▸ h i⟩
/-- The minimal element of a nonempty set of ordinals -/
def omin (S : set ordinal.{u}) (H : ∃ x, x ∈ S) : ordinal.{u} :=
@min.{(u+2) u} S (let ⟨x, px⟩ := H in ⟨⟨x, px⟩⟩) subtype.val
theorem omin_mem (S H) : omin S H ∈ S :=
let ⟨⟨i, h⟩, e⟩ := @min_eq S _ _ in
(show omin S H = i, from e).symm ▸ h
theorem le_omin {S H a} : a ≤ omin S H ↔ ∀ i ∈ S, a ≤ i :=
le_min.trans set_coe.forall
theorem omin_le {S H i} (h : i ∈ S) : omin S H ≤ i :=
le_omin.1 (le_refl _) _ h
@[simp] theorem lift_min {ι} (I) (f : ι → ordinal) : lift (min I f) = min I (lift ∘ f) :=
le_antisymm (le_min.2 $ λ a, lift_le.2 $ min_le _ a) $
let ⟨i, e⟩ := min_eq I (lift ∘ f) in
by rw e; exact lift_le.2 (le_min.2 $ λ j, lift_le.1 $
by have := min_le (lift ∘ f) j; rwa e at this)
def lift.initial_seg : @initial_seg ordinal.{u} ordinal.{max u v} (<) (<) :=
⟨⟨⟨lift.{u v}, λ a b, lift_inj.1⟩, λ a b, lift_lt.symm⟩,
λ a b h, lift_down (le_of_lt h)⟩
@[simp] theorem lift.initial_seg_coe : (lift.initial_seg : ordinal → ordinal) = lift := rfl
/-- `univ.{u v}` is the order type of the ordinals of `Type u` as a member
of `ordinal.{v}` (when `u < v`). It is an inaccessible cardinal. -/
def univ := lift.{(u+1) v} (@type ordinal.{u} (<) _)
theorem univ_id : univ.{u (u+1)} = @type ordinal.{u} (<) _ := lift_id _
@[simp] theorem lift_univ : lift.{_ w} univ.{u v} = univ.{u (max v w)} := lift_lift _
theorem univ_umax : univ.{u (max (u+1) v)} = univ.{u v} := congr_fun lift_umax _
def lift.principal_seg : @principal_seg ordinal.{u} ordinal.{max (u+1) v} (<) (<) :=
⟨↑lift.initial_seg.{u (max (u+1) v)}, univ.{u v}, begin
refine λ b, induction_on b _, introsI β s _,
rw [univ, ← lift_umax], split; intro h,
{ rw ← lift_id (type s) at h ⊢,
cases lift_type_lt.1 h with f, cases f with f a hf,
existsi a, revert hf,
apply induction_on a, intros α r _ hf,
refine lift_type_eq.{u (max (u+1) v) (max (u+1) v)}.2
⟨(order_iso.of_surjective (order_embedding.of_monotone _ _) _).symm⟩,
{ exact λ b, enum r (f b) ((hf _).2 ⟨_, rfl⟩) },
{ refine λ a b h, (typein_lt_typein r).1 _,
rw [typein_enum, typein_enum],
exact f.ord'.1 h },
{ intro a', cases (hf _).1 (typein_lt_type _ a') with b e,
existsi b, simp, simp [e] } },
{ cases h with a e, rw [← e],
apply induction_on a, intros α r _,
exact lift_type_lt.{u (u+1) (max (u+1) v)}.2
⟨typein.principal_seg r⟩ }
end⟩
@[simp] theorem lift.principal_seg_coe :
(lift.principal_seg.{u v} : ordinal → ordinal) = lift.{u (max (u+1) v)} := rfl
@[simp] theorem lift.principal_seg_top : lift.principal_seg.top = univ := rfl
theorem lift.principal_seg_top' :
lift.principal_seg.{u (u+1)}.top = @type ordinal.{u} (<) _ :=
by simp only [lift.principal_seg_top, univ_id]
/-- `a - b` is the unique ordinal satisfying
`b + (a - b) = a` when `b ≤ a`. -/
def sub (a b : ordinal.{u}) : ordinal.{u} :=
omin {o | a ≤ b+o} ⟨a, le_add_left _ _⟩
instance : has_sub ordinal := ⟨sub⟩
theorem le_add_sub (a b : ordinal) : a ≤ b + (a - b) :=
omin_mem {o | a ≤ b+o} _
theorem sub_le {a b c : ordinal} : a - b ≤ c ↔ a ≤ b + c :=
⟨λ h, le_trans (le_add_sub a b) (add_le_add_left h _),
λ h, omin_le h⟩
theorem lt_sub {a b c : ordinal} : a < b - c ↔ c + a < b :=
le_iff_le_iff_lt_iff_lt.1 sub_le
theorem add_sub_cancel (a b : ordinal) : a + b - a = b :=
le_antisymm (sub_le.2 $ le_refl _)
((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 _ _
theorem add_sub_cancel_of_le {a b : ordinal} (h : b ≤ a) : b + (a - b) = a :=
le_antisymm begin
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, ← lt_sub, e], apply lt_succ_self },
{ exact (add_le_of_limit l).2 (λ c l, le_of_lt (lt_sub.1 l)) }
end (le_add_sub _ _)
@[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 ← 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
theorem sub_eq_zero_iff_le {a b : ordinal} : a - b = 0 ↔ a ≤ b :=
⟨λ h, by simpa only [h, add_zero] using le_add_sub a b,
λ h, by rwa [← le_zero, sub_le, add_zero]⟩
theorem sub_sub (a b c : ordinal) : a - b - c = a - (b + c) :=
eq_of_forall_ge_iff $ λ d, by rw [sub_le, sub_le, sub_le, add_assoc]
theorem add_sub_add_cancel (a b c : ordinal) : a + b - (a + c) = b - c :=
by rw [← sub_sub, add_sub_cancel]
theorem sub_is_limit {a b} (l : is_limit a) (h : b < a) : is_limit (a - b) :=
⟨ne_of_gt $ lt_sub.2 $ by rwa add_zero,
λ c h, by rw [lt_sub, add_succ]; exact l.2 _ (lt_sub.1 h)⟩
@[simp] theorem one_add_omega : 1 + omega.{u} = omega :=
begin
refine le_antisymm _ (le_add_left _ _),
rw [omega, one_eq_lift_type_unit, ← lift_add, lift_le, type_add],
have : is_well_order unit empty_relation := by apply_instance,
refine ⟨order_embedding.collapse (order_embedding.of_monotone _ _)⟩,
{ apply sum.rec, exact λ _, 0, exact nat.succ },
{ intros a b, cases a; cases b; intro H; cases H with _ _ H _ _ H;
[cases H, exact nat.succ_pos _, exact nat.succ_lt_succ H] }
end
@[simp] theorem one_add_of_omega_le {o} (h : omega ≤ o) : 1 + o = o :=
by rw [← add_sub_cancel_of_le h, ← add_assoc, one_add_omega]
instance : monoid ordinal.{u} :=
{ mul := λ a b, quotient.lift_on₂ a b
(λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, ⟦⟨β × α, prod.lex s r, by exactI prod.lex.is_well_order⟩⟧
: Well_order → Well_order → ordinal) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
quot.sound ⟨order_iso.prod_lex_congr g f⟩,
one := 1,
mul_assoc := λ a b c, quotient.induction_on₃ a b c $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩,
eq.symm $ quotient.sound ⟨⟨equiv.prod_assoc _ _ _, λ a b, begin
rcases a with ⟨⟨a₁, a₂⟩, a₃⟩,
rcases b with ⟨⟨b₁, b₂⟩, b₃⟩,
simp [prod.lex_def, and_or_distrib_left, or_assoc, and_assoc]
end⟩⟩,
mul_one := λ a, induction_on a $ λ α r _, quotient.sound
⟨⟨equiv.punit_prod _, λ a b, by rcases a with ⟨⟨⟨⟩⟩, a⟩; rcases b with ⟨⟨⟨⟩⟩, b⟩;
simp only [prod.lex_def, empty_relation, false_or]; dsimp only;
simp only [eq_self_iff_true, true_and]; refl⟩⟩,
one_mul := λ a, induction_on a $ λ α r _, quotient.sound
⟨⟨equiv.prod_punit _, λ a b, by rcases a with ⟨a, ⟨⟨⟩⟩⟩; rcases b with ⟨b, ⟨⟨⟩⟩⟩;
simp only [prod.lex_def, empty_relation, and_false, or_false]; refl⟩⟩ }
@[simp] theorem type_mul {α β : Type u} (r : α → α → Prop) (s : β → β → Prop)
[is_well_order α r] [is_well_order β s] : type r * type s = type (prod.lex s r) := rfl
@[simp] theorem lift_mul (a b) : lift (a * b) = lift a * lift b :=
quotient.induction_on₂ a b $ λ ⟨α, r, _⟩ ⟨β, s, _⟩,
quotient.sound ⟨(order_iso.preimage equiv.ulift _).trans
(order_iso.prod_lex_congr (order_iso.preimage equiv.ulift _)
(order_iso.preimage equiv.ulift _)).symm⟩
@[simp] theorem card_mul (a b) : card (a * b) = card a * card b :=
quotient.induction_on₂ a b $ λ ⟨α, r, _⟩ ⟨β, s, _⟩,
mul_comm (mk β) (mk α)
@[simp] theorem mul_zero (a : ordinal) : a * 0 = 0 :=
induction_on a $ λ α _ _, by exactI
type_eq_zero_iff_empty.2 (λ ⟨⟨e, _⟩⟩, e.elim)
@[simp] theorem zero_mul (a : ordinal) : 0 * a = 0 :=
induction_on a $ λ α _ _, by exactI
type_eq_zero_iff_empty.2 (λ ⟨⟨_, e⟩⟩, e.elim)
theorem mul_add (a b c : ordinal) : a * (b + c) = a * b + a * c :=
quotient.induction_on₃ a b c $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩,
quotient.sound ⟨⟨equiv.sum_prod_distrib _ _ _, begin
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,
equiv.sum_prod_distrib_apply_left, equiv.sum_prod_distrib_apply_right];
simp only [sum.inl.inj_iff, true_or, false_and, false_or]
end⟩⟩
@[simp] theorem mul_add_one (a b : ordinal) : a * (b + 1) = a * b + a :=
by simp only [mul_add, mul_one]
@[simp] theorem mul_succ (a b : ordinal) : a * succ b = a * b + a := mul_add_one _ _
theorem mul_le_mul_left {a b} (c : ordinal) : a ≤ b → c * a ≤ c * b :=
quotient.induction_on₃ a b c $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩, begin
resetI,
refine type_le'.2 ⟨order_embedding.of_monotone
(λ a, (f a.1, a.2))
(λ a b h, _)⟩, clear_,
cases h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h',
{ exact prod.lex.left _ _ _ (f.to_order_embedding.ord'.1 h') },
{ exact prod.lex.right _ _ h' }
end
theorem mul_le_mul_right {a b} (c : ordinal) : a ≤ b → a * c ≤ b * c :=
quotient.induction_on₃ a b c $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩, begin
resetI,
refine type_le'.2 ⟨order_embedding.of_monotone
(λ a, (a.1, f a.2))
(λ a b h, _)⟩,
cases h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h',
{ exact prod.lex.left _ _ _ h' },
{ exact prod.lex.right _ _ (f.to_order_embedding.ord'.1 h') }
end
theorem mul_le_mul {a b c d : ordinal} (h₁ : a ≤ c) (h₂ : b ≤ d) : a * b ≤ c * d :=
le_trans (mul_le_mul_left _ h₂) (mul_le_mul_right _ h₁)
private lemma mul_le_of_limit_aux {α β r s} [is_well_order α r] [is_well_order β s]
{c} (h : is_limit (type s)) (H : ∀ b' < type s, type r * b' ≤ c)
(l : c < type r * type s) : false :=
begin
suffices : ∀ a b, prod.lex s r (b, a) (enum _ _ l),
{ cases enum _ _ l with b a, exact irrefl _ (this _ _) },
intros a b,
rw [← typein_lt_typein (prod.lex s r), typein_enum],
have := H _ (h.2 _ (typein_lt_type s b)),
rw [mul_succ] at this,
have := lt_of_lt_of_le ((add_lt_add_iff_left _).2
(typein_lt_type _ a)) this,
refine lt_of_le_of_lt _ this,
refine (type_le'.2 _),
constructor,
refine order_embedding.of_monotone (λ a, _) (λ a b, _),
{ rcases a with ⟨⟨b', a'⟩, h⟩,
by_cases e : b = b',
{ refine sum.inr ⟨a', _⟩,
subst e, cases h with _ _ _ _ h _ _ _ h,
{ exact (irrefl _ h).elim },
{ exact h } },
{ refine sum.inl (⟨b', _⟩, a'),
cases h with _ _ _ _ h _ _ _ h,
{ exact h }, { exact (e rfl).elim } } },
{ rcases a with ⟨⟨b₁, a₁⟩, h₁⟩,
rcases b with ⟨⟨b₂, a₂⟩, h₂⟩,
intro h, by_cases e₁ : b = b₁; by_cases e₂ : b = b₂,
{ substs b₁ b₂, simpa only [subrel_val, prod.lex_def, @irrefl _ s _ b, true_and, 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 ⊢,
cases h₂; [exact asymm h h₂_h, exact e₂ rfl] },
{ simp only [e₂, dif_pos, eq_self_iff_true, dif_neg e₁, not_false_iff, sum.lex.sep] },
{ simpa only [dif_neg e₁, dif_neg e₂, prod.lex_def, subrel_val, subtype.mk_eq_mk, sum.lex_inl_inl] using h } }
end
theorem mul_le_of_limit {a b c : ordinal.{u}}
(h : is_limit b) : a * b ≤ c ↔ ∀ b' < b, a * b' ≤ c :=
⟨λ h b' l, le_trans (mul_le_mul_left _ (le_of_lt l)) h,
λ H, le_of_not_lt $ induction_on a (λ α r _, induction_on b $ λ β s _,
by exactI mul_le_of_limit_aux) h H⟩
theorem mul_is_normal {a : ordinal} (h : 0 < a) : is_normal ((*) a) :=
⟨λ b, by rw mul_succ; simpa only [add_zero] using (add_lt_add_iff_left (a*b)).2 h,
λ b l c, mul_le_of_limit l⟩
theorem lt_mul_of_limit {a b c : ordinal.{u}}
(h : is_limit c) : a < b * c ↔ ∃ c' < c, a < b * c' :=
by simpa only [not_ball, not_le] 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 :=
(mul_is_normal a0).lt_iff
theorem mul_le_mul_iff_left {a b c : ordinal} (a0 : 0 < a) : a * b ≤ a * c ↔ b ≤ c :=
(mul_is_normal 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 [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_iff_lt_imp_lt.2 (λ h', mul_lt_mul_of_pos_left h' h0) h
theorem mul_left_inj {a b c : ordinal} (a0 : 0 < a) : a * b = a * c ↔ b = c :=
(mul_is_normal a0).inj
theorem mul_is_limit {a b : ordinal}
(a0 : 0 < a) : is_limit b → is_limit (a * b) :=
(mul_is_normal a0).is_limit
theorem mul_is_limit_left {a b : ordinal}
(l : is_limit a) (b0 : 0 < b) : is_limit (a * b) :=
begin
rcases zero_or_succ_or_limit b with rfl|⟨b,rfl⟩|lb,
{ exact (lt_irrefl _).elim b0 },
{ rw mul_succ, exact add_is_limit _ l },
{ exact mul_is_limit l.pos lb }
end
/-- `a / b` is the unique ordinal `o` satisfying
`a = b * o + o'` with `o' < b`. -/
protected def div (a b : ordinal.{u}) : ordinal.{u} :=
if h : b = 0 then 0 else
omin {o | a < b * succ o} ⟨a, succ_le.1 $
by simpa only [succ_zero, one_mul] using mul_le_mul_right (succ a) (succ_le.2 (pos_iff_ne_zero.2 h))⟩
instance : has_div ordinal := ⟨ordinal.div⟩
@[simp] theorem div_zero (a : ordinal) : a / 0 = 0 := dif_pos rfl
def div_def (a) {b : ordinal} (h : b ≠ 0) : a / b =
omin {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 omin_mem {o | a < b * succ o} _
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 :=
⟨λ h, lt_of_lt_of_le (lt_mul_succ_div a b0) (mul_le_mul_left _ $ succ_le_succ.2 h),
λ h, by rw div_def a b0; exact omin_le h⟩
theorem lt_div {a b c : ordinal} (c0 : c ≠ 0) : a < b / c ↔ c * succ a ≤ b :=
by rw [← not_le, div_le c0, not_lt]
theorem le_div {a b c : ordinal} (c0 : c ≠ 0) :
a ≤ b / c ↔ c * a ≤ b :=
begin
apply limit_rec_on a,
{ simp only [mul_zero, zero_le] },
{ intros, rw [succ_le, lt_div c0] },
{ simp only [mul_le_of_limit, limit_le, iff_self, forall_true_iff] {contextual := tt} }
end
theorem div_lt {a b c : ordinal} (b0 : b ≠ 0) :
a / b < c ↔ a < b * c :=
le_iff_le_iff_lt_iff_lt.1 $ 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, zero_le] else
(div_le b0).2 $ lt_of_le_of_lt h $
mul_lt_mul_of_pos_left (lt_succ_self _) (pos_iff_ne_zero.2 b0)
theorem mul_lt_of_lt_div {a b c : ordinal} : a < b / c → c * a < b :=
le_imp_le_iff_lt_imp_lt.1 div_le_of_le_mul
@[simp] theorem zero_div (a : ordinal) : 0 / a = 0 :=
le_zero.1 $ div_le_of_le_mul $ zero_le _
theorem mul_div_le (a b : ordinal) : b * (a / b) ≤ a :=
if b0 : b = 0 then by simp only [b0, zero_mul, zero_le] else (le_div b0).1 (le_refl _)
theorem mul_add_div (a) {b : ordinal} (b0 : b ≠ 0) (c) : (b * a + c) / b = a + c / b :=
begin
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 }
end
theorem div_eq_zero_of_lt {a b : ordinal} (h : a < b) : a / b = 0 :=
by rw [← le_zero, div_le $ pos_iff_ne_zero.1 $ lt_of_le_of_lt (zero_le _) 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
@[simp] theorem div_one (a : ordinal) : a / 1 = a :=
by simpa only [one_mul] using mul_div_cancel a 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 $ λ d,
by rw [sub_le, ← le_div a0, sub_le, ← le_div a0, mul_add_div _ a0]
/-- Divisibility is defined by right multiplication:
`a ∣ b` if there exists `c` such that `b = a * c`. -/
instance : has_dvd ordinal := ⟨λ a b, ∃ c, b = a * c⟩
theorem dvd_def {a b : ordinal} : a ∣ b ↔ ∃ c, b = a * c := iff.rfl
theorem dvd_mul (a b : ordinal) : a ∣ a * b := ⟨_, rfl⟩
theorem dvd_trans : ∀ {a b c : ordinal}, a ∣ b → b ∣ c → a ∣ c
| a _ _ ⟨b, rfl⟩ ⟨c, rfl⟩ := ⟨b * c, mul_assoc _ _ _⟩
theorem dvd_mul_of_dvd {a b : ordinal} (c) (h : a ∣ b) : a ∣ b * c :=
dvd_trans h (dvd_mul _ _)
theorem dvd_add_iff : ∀ {a b c : ordinal}, a ∣ b → (a ∣ b + c ↔ a ∣ c)
| a _ c ⟨b, rfl⟩ :=
⟨λ ⟨d, e⟩, ⟨d - b, by rw [mul_sub, ← e, add_sub_cancel]⟩,
λ ⟨d, e⟩, by rw [e, ← mul_add]; apply dvd_mul⟩
theorem dvd_add {a b c : ordinal} (h₁ : a ∣ b) : a ∣ c → a ∣ b + c :=
(dvd_add_iff h₁).2
theorem dvd_zero (a : ordinal) : a ∣ 0 := ⟨_, (mul_zero _).symm⟩
theorem zero_dvd {a : ordinal} : 0 ∣ a ↔ a = 0 :=
⟨λ ⟨h, e⟩, by simp only [e, zero_mul], λ e, e.symm ▸ dvd_zero _⟩
theorem one_dvd (a : ordinal) : 1 ∣ a := ⟨a, (one_mul _).symm⟩
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
| a _ b0 ⟨b, rfl⟩ := by simpa only [mul_one] using mul_le_mul_left a
(one_le_iff_ne_zero.2 (λ h : b = 0, by simpa only [h, mul_zero] using b0))
theorem dvd_antisymm {a b : ordinal} (h₁ : a ∣ b) (h₂ : b ∣ a) : a = b :=
if a0 : a = 0 then by subst a; exact (zero_dvd.1 h₁).symm else
if b0 : b = 0 then by subst b; exact zero_dvd.1 h₂ else
le_antisymm (le_of_dvd b0 h₁) (le_of_dvd a0 h₂)
/-- `a % b` is the unique ordinal `o'` satisfying
`a = b * o + o'` with `o' < b`. -/
instance : has_mod ordinal := ⟨λ a b, a - b * (a / b)⟩
theorem mod_def (a b : ordinal) : a % b = a - b * (a / b) := rfl
@[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 :=
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]
end ordinal
namespace cardinal
open ordinal
/-- The ordinal corresponding to a cardinal `c` is the least ordinal
whose cardinal is `c`. -/
def ord (c : cardinal) : ordinal :=
begin
let ι := λ α, {r // is_well_order α r},
have : ∀ α, nonempty (ι α) := λ α,
⟨classical.indefinite_description _ well_ordering_thm⟩,
let F := λ α, ordinal.min (this _) (λ i:ι α, ⟦⟨α, i.1, i.2⟩⟧),
refine quot.lift_on c F _,
suffices : ∀ {α β}, α ≈ β → F α ≤ F β,
from λ α β h, le_antisymm (this h) (this (setoid.symm h)),
intros α β h, cases h with f, refine ordinal.le_min.2 (λ i, _),
haveI := @order_embedding.is_well_order _ _
(f ⁻¹'o i.1) _ ↑(order_iso.preimage f i.1) i.2,
rw ← show type (f ⁻¹'o i.1) = ⟦⟨β, i.1, i.2⟩⟧, from
quot.sound ⟨order_iso.preimage f i.1⟩,
exact ordinal.min_le (λ i:ι α, ⟦⟨α, i.1, i.2⟩⟧) ⟨_, _⟩
end
def ord_eq_min (α : Type u) : ord (mk α) =
@ordinal.min _ _ (λ i:{r // is_well_order α r}, ⟦⟨α, i.1, i.2⟩⟧) := rfl
theorem ord_eq (α) : ∃ (r : α → α → Prop) [wo : is_well_order α r],
ord (mk α) = @type α r wo :=
let ⟨⟨r, wo⟩, h⟩ := @ordinal.min_eq _
⟨classical.indefinite_description _ well_ordering_thm⟩
(λ i:{r // is_well_order α r}, ⟦⟨α, i.1, i.2⟩⟧) in
⟨r, wo, h⟩
theorem ord_le_type (r : α → α → Prop) [is_well_order α r] : ord (mk α) ≤ ordinal.type r :=
@ordinal.min_le _
⟨classical.indefinite_description _ well_ordering_thm⟩
(λ i:{r // is_well_order α r}, ⟦⟨α, i.1, i.2⟩⟧) ⟨r, _⟩
theorem ord_le {c o} : ord c ≤ o ↔ c ≤ o.card :=
quotient.induction_on c $ λ α, induction_on o $ λ β s _,
let ⟨r, _, e⟩ := ord_eq α in begin
resetI, simp only [mk_def, card_type], split; intro h,
{ rw e at h, exact let ⟨f⟩ := h in ⟨f.to_embedding⟩ },
{ cases h with f,
have g := order_embedding.preimage f s,
haveI := order_embedding.is_well_order g,
exact le_trans (ord_le_type _) (type_le'.2 ⟨g⟩) }
end
theorem lt_ord {c o} : o < ord c ↔ o.card < c :=
by rw [← not_le, ← not_le, ord_le]
@[simp] theorem card_ord (c) : (ord c).card = c :=
quotient.induction_on c $ λ α,
let ⟨r, _, e⟩ := ord_eq α in by simp only [mk_def, e, card_type]
theorem ord_card_le (o : ordinal) : o.card.ord ≤ o :=
ord_le.2 (le_refl _)
@[simp] theorem ord_le_ord {c₁ c₂} : ord c₁ ≤ ord c₂ ↔ c₁ ≤ c₂ :=
by simp only [ord_le, card_ord]
@[simp] theorem ord_lt_ord {c₁ c₂} : ord c₁ < ord c₂ ↔ c₁ < c₂ :=
by simp only [lt_ord, card_ord]
@[simp] theorem ord_zero : ord 0 = 0 :=
le_antisymm (ord_le.2 $ zero_le _) (ordinal.zero_le _)
@[simp] theorem ord_nat (n : ℕ) : ord n = n :=
le_antisymm (ord_le.2 $ by simp only [card_nat]) $ begin
induction n with n IH,
{ apply ordinal.zero_le },
{ exact (@ordinal.succ_le n _).2 (lt_of_le_of_lt IH $
ord_lt_ord.2 $ nat_cast_lt.2 (nat.lt_succ_self n)) }
end
@[simp] theorem lift_ord (c) : (ord c).lift = ord (lift c) :=
eq_of_forall_ge_iff $ λ o, le_iff_le_iff_lt_iff_lt.2 $ begin
split; intro h,
{ rcases ordinal.lt_lift_iff.1 h with ⟨a, e, h⟩,
rwa [← e, lt_ord, ← lift_card, lift_lt, ← lt_ord] },
{ rw lt_ord at h,
rcases lift_down' (le_of_lt h) with ⟨o, rfl⟩,
rw [← lift_card, lift_lt] at h,
rwa [ordinal.lift_lt, lt_ord] }
end
def ord.order_embedding : @order_embedding cardinal ordinal (<) (<) :=
order_embedding.of_monotone cardinal.ord $ λ a b, cardinal.ord_lt_ord.2
@[simp] theorem ord.order_embedding_coe :
(ord.order_embedding : cardinal → ordinal) = ord := rfl
/-- The cardinal `univ` is the cardinality of ordinal `univ`, or
equivalently the cardinal of `ordinal.{u}`, or `cardinal.{u}`,
as an element of `cardinal.{v}` (when `u < v`). -/
def univ := lift.{(u+1) v} (mk ordinal)
theorem univ_id : univ.{u (u+1)} = mk ordinal := lift_id _
@[simp] theorem lift_univ : lift.{_ w} univ.{u v} = univ.{u (max v w)} := lift_lift _
theorem univ_umax : univ.{u (max (u+1) v)} = univ.{u v} := congr_fun lift_umax _
theorem lift_lt_univ (c : cardinal) : lift.{u (u+1)} c < univ.{u (u+1)} :=
by simpa only [lift.principal_seg_coe, lift_ord, lift_succ, ord_le, succ_le] using le_of_lt
(lift.principal_seg.{u (u+1)}.lt_top (succ c).ord)
theorem lift_lt_univ' (c : cardinal) : lift.{u (max (u+1) v)} c < univ.{u v} :=
by simpa only [lift_lift, lift_univ, univ_umax] using
lift_lt.{_ (max (u+1) v)}.2 (lift_lt_univ c)
@[simp] theorem ord_univ : ord univ.{u v} = ordinal.univ.{u v} :=
le_antisymm (ord_card_le _) $ le_of_forall_lt $ λ o h,
lt_ord.2 begin
rcases lift.principal_seg.{u v}.down'.1
(by simpa only [lift.principal_seg_coe] using h) with ⟨o', rfl⟩,
simp only [lift.principal_seg_coe], rw [← lift_card],
apply lift_lt_univ'
end
theorem lt_univ {c} : c < univ.{u (u+1)} ↔ ∃ c', c = lift.{u (u+1)} c' :=
⟨λ h, begin
have := ord_lt_ord.2 h,
rw ord_univ at this,
cases lift.principal_seg.{u (u+1)}.down'.1
(by simpa only [lift.principal_seg_top]) with o e,
have := card_ord c,
rw [← e, lift.principal_seg_coe, ← lift_card] at this,
exact ⟨_, this.symm⟩
end, λ ⟨c', e⟩, e.symm ▸ lift_lt_univ _⟩
theorem lt_univ' {c} : c < univ.{u v} ↔ ∃ c', c = lift.{u (max (u+1) v)} c' :=
⟨λ h, let ⟨a, e, h'⟩ := lt_lift_iff.1 h in begin
rw [← univ_id] at h',
rcases lt_univ.{u}.1 h' with ⟨c', rfl⟩,
exact ⟨c', by simp only [e.symm, lift_lift]⟩
end, λ ⟨c', e⟩, e.symm ▸ lift_lt_univ' _⟩
end cardinal
namespace ordinal
@[simp] theorem card_univ : card univ = cardinal.univ := rfl
/-- The supremum of a family of ordinals -/
def sup {ι} (f : ι → ordinal) : ordinal :=
omin {c | ∀ i, f i ≤ c}
⟨(sup (cardinal.succ ∘ card ∘ f)).ord, λ i, le_of_lt $
cardinal.lt_ord.2 (lt_of_lt_of_le (cardinal.lt_succ_self _) (le_sup _ _))⟩
theorem le_sup {ι} (f : ι → ordinal) : ∀ i, f i ≤ sup f :=
omin_mem {c | ∀ i, f i ≤ c} _
theorem sup_le {ι} {f : ι → ordinal} {a} : sup f ≤ a ↔ ∀ i, f i ≤ a :=
⟨λ h i, le_trans (le_sup _ _) h, λ h, omin_le h⟩
theorem lt_sup {ι} {f : ι → ordinal} {a} : a < sup f ↔ ∃ i, a < f i :=
by simpa only [not_forall, not_le] using not_congr (@sup_le _ f a)
theorem is_normal.sup {f} (H : is_normal f)
{ι} {g : ι → ordinal} (h : nonempty ι) : f (sup g) = sup (f ∘ g) :=
eq_of_forall_ge_iff $ λ a,
by rw [sup_le, comp, H.le_set' (λ_:ι, true) g (let ⟨i⟩ := h in ⟨i, ⟨⟩⟩)];
intros; simp only [sup_le, true_implies_iff]
theorem sup_ord {ι} (f : ι → cardinal) : sup (λ i, (f i).ord) = (cardinal.sup f).ord :=
eq_of_forall_ge_iff $ λ a, by simp only [sup_le, cardinal.ord_le, cardinal.sup_le]
/-- The supremum of a family of ordinals indexed by the set
of ordinals less than some `o : ordinal.{u}`.
(This is not a special case of `sup` over the subtype,
because `{a // a < o} : Type (u+1)` and `sup` only works over
families in `Type u`.) -/
def bsup (o : ordinal.{u}) : (Π a < o, ordinal.{max u v}) → ordinal.{max u v} :=
match o, o.out, o.out_eq with
| _, ⟨α, r, _⟩, rfl, f := by exactI sup (λ a, f (typein r a) (typein_lt_type _ _))
end
theorem bsup_le {o f a} : bsup.{u v} o f ≤ a ↔ ∀ i h, f i h ≤ a :=
match o, o.out, o.out_eq, f :
∀ o w (e : ⟦w⟧ = o) (f : Π (a : ordinal.{u}), a < o → ordinal.{(max u v)}),
bsup._match_1 o w e f ≤ a ↔ ∀ i h, f i h ≤ a with
| _, ⟨α, r, _⟩, rfl, f := by rw [bsup._match_1, sup_le]; exactI
⟨λ H i h, by simpa only [typein_enum] using H (enum r i h), λ H b, H _ _⟩
end
theorem bsup_type (r : α → α → Prop) [is_well_order α r] (f) :
bsup (type r) f = sup (λ a, f (typein r a) (typein_lt_type _ _)) :=
eq_of_forall_ge_iff $ λ o,
by rw [bsup_le, sup_le]; exact
⟨λ H b, H _ _, λ H i h, by simpa only [typein_enum] using H (enum r i h)⟩
theorem le_bsup {o} (f : Π a < o, ordinal) (i h) : f i h ≤ bsup o f :=
bsup_le.1 (le_refl _) _ _
theorem is_normal.bsup {f} (H : is_normal f)
{o : ordinal} : ∀ (g : Π a < o, ordinal) (h : o ≠ 0),
f (bsup o g) = bsup o (λ a h, f (g a h)) :=
induction_on o $ λ α r _ g h,
by resetI; rw [bsup_type,
H.sup (type_ne_zero_iff_nonempty.1 h), bsup_type]
/-- The ordinal exponential, defined by transfinite recursion. -/
def power (a b : ordinal) : ordinal :=
if a = 0 then 1 - b else
limit_rec_on b 1 (λ _ IH, IH * a) (λ b _, bsup.{u u} b)
instance : has_pow ordinal ordinal := ⟨power⟩
local infixr ^ := @pow ordinal ordinal ordinal.has_pow
theorem zero_power' (a : ordinal) : 0 ^ a = 1 - a :=
by simp only [pow, power, if_pos rfl]
@[simp] theorem zero_power {a : ordinal} (a0 : a ≠ 0) : 0 ^ a = 0 :=
by rwa [zero_power', sub_eq_zero_iff_le, one_le_iff_ne_zero]
@[simp] theorem power_zero (a : ordinal) : a ^ 0 = 1 :=
by by_cases a = 0; [simp only [pow, power, if_pos h, sub_zero],
simp only [pow, power, if_neg h, limit_rec_on_zero]]
@[simp] theorem power_succ (a b : ordinal) : a ^ succ b = a ^ b * a :=
if h : a = 0 then by subst a; simp only [zero_power (succ_ne_zero _), mul_zero]
else by simp only [pow, power, limit_rec_on_succ, if_neg h]
theorem power_limit {a b : ordinal} (a0 : a ≠ 0) (h : is_limit b) :
a ^ b = bsup.{u u} b (λ c _, a ^ c) :=
by simp only [pow, power, if_neg a0]; rw limit_rec_on_limit _ _ _ _ h; refl
theorem power_le_of_limit {a b c : ordinal} (a0 : a ≠ 0) (h : is_limit b) :
a ^ b ≤ c ↔ ∀ b' < b, a ^ b' ≤ c :=
by rw [power_limit a0 h, bsup_le]
theorem lt_power_of_limit {a b c : ordinal} (b0 : b ≠ 0) (h : is_limit c) :
a < b ^ c ↔ ∃ c' < c, a < b ^ c' :=
by rw [← not_iff_not, not_exists]; simp only [not_lt, power_le_of_limit b0 h, exists_prop, not_and]
@[simp] theorem power_one (a : ordinal) : a ^ 1 = a :=
by rw [← succ_zero, power_succ]; simp only [power_zero, one_mul]
@[simp] theorem one_power (a : ordinal) : 1 ^ a = 1 :=
begin
apply limit_rec_on a,
{ simp only [power_zero] },
{ intros _ ih, simp only [power_succ, ih, mul_one] },
refine λ b l IH, eq_of_forall_ge_iff (λ c, _),
rw [power_le_of_limit one_ne_zero l],
exact ⟨λ H, by simpa only [power_zero] using H 0 l.pos,
λ H b' h, by rwa IH _ h⟩,
end
theorem power_pos {a : ordinal} (b)
(a0 : 0 < a) : 0 < a ^ b :=
begin
have h0 : 0 < a ^ 0, {simp only [power_zero, zero_lt_one]},
apply limit_rec_on b,
{ exact h0 },
{ intros b IH, rw [power_succ],
exact mul_pos IH a0 },
{ exact λ b l _, (lt_power_of_limit (pos_iff_ne_zero.1 a0) l).2
⟨0, l.pos, h0⟩ },
end
theorem power_ne_zero {a : ordinal} (b)
(a0 : a ≠ 0) : a ^ b ≠ 0 :=
pos_iff_ne_zero.1 $ power_pos b $ pos_iff_ne_zero.2 a0
theorem power_is_normal {a : ordinal} (h : 1 < a) : is_normal ((^) a) :=
have a0 : 0 < a, from lt_trans zero_lt_one h,
⟨λ b, by simpa only [mul_one, power_succ] using
(mul_lt_mul_iff_left (power_pos b a0)).2 h,
λ b l c, power_le_of_limit (ne_of_gt a0) l⟩
theorem power_lt_power_iff_right {a b c : ordinal}
(a1 : 1 < a) : a ^ b < a ^ c ↔ b < c :=
(power_is_normal a1).lt_iff
theorem power_le_power_iff_right {a b c : ordinal}
(a1 : 1 < a) : a ^ b ≤ a ^ c ↔ b ≤ c :=
(power_is_normal a1).le_iff
theorem power_right_inj {a b c : ordinal}
(a1 : 1 < a) : a ^ b = a ^ c ↔ b = c :=
(power_is_normal a1).inj
theorem power_is_limit {a b : ordinal}
(a1 : 1 < a) : is_limit b → is_limit (a ^ b) :=
(power_is_normal a1).is_limit
theorem power_is_limit_left {a b : ordinal}
(l : is_limit a) (hb : b ≠ 0) : is_limit (a ^ b) :=
begin
rcases zero_or_succ_or_limit b with e|⟨b,rfl⟩|l',
{ exact absurd e hb },
{ rw power_succ,
exact mul_is_limit (power_pos _ l.pos) l },
{ exact power_is_limit l.one_lt l' }
end
theorem power_le_power_right {a b c : ordinal}
(h₁ : 0 < a) (h₂ : b ≤ c) : a ^ b ≤ a ^ c :=
begin
cases lt_or_eq_of_le (one_le_iff_pos.2 h₁) with h₁ h₁,
{ exact (power_le_power_iff_right h₁).2 h₂ },
{ subst a, simp only [one_power] }
end
theorem power_le_power_left {a b : ordinal} (c)
(ab : a ≤ b) : a ^ c ≤ b ^ c :=
begin
by_cases a0 : a = 0,
{ subst a, by_cases c0 : c = 0,
{ subst c, simp only [power_zero] },
{ simp only [zero_power c0, zero_le] } },
{ apply limit_rec_on c,
{ simp only [power_zero] },
{ intros c IH, simpa only [power_succ] using mul_le_mul IH ab },
{ exact λ c l IH, (power_le_of_limit a0 l).2
(λ b' h, le_trans (IH _ h) (power_le_power_right
(lt_of_lt_of_le (pos_iff_ne_zero.2 a0) ab) (le_of_lt h))) } }
end
theorem le_power_self {a : ordinal} (b) (a1 : 1 < a) : b ≤ a ^ b :=
(power_is_normal a1).le_self _
theorem power_lt_power_left_of_succ {a b c : ordinal}
(ab : a < b) : a ^ succ c < b ^ succ c :=
by rw [power_succ, power_succ]; exact
lt_of_le_of_lt
(mul_le_mul_right _ $ power_le_power_left _ $ le_of_lt ab)
(mul_lt_mul_of_pos_left ab (power_pos _ (lt_of_le_of_lt (zero_le _) ab)))
theorem power_add (a b c : ordinal) : a ^ (b + c) = a ^ b * a ^ c :=
begin
by_cases a0 : a = 0,
{ subst a,
by_cases c0 : c = 0, {simp only [c0, add_zero, power_zero, mul_one]},
have : b+c ≠ 0 := ne_of_gt (lt_of_lt_of_le
(pos_iff_ne_zero.2 c0) (le_add_left _ _)),
simp only [zero_power c0, zero_power this, mul_zero] },
cases eq_or_lt_of_le (one_le_iff_ne_zero.2 a0) with a1 a1,
{ subst a1, simp only [one_power, mul_one] },
apply limit_rec_on c,
{ simp only [add_zero, power_zero, mul_one] },
{ intros c IH,
rw [add_succ, power_succ, IH, power_succ, mul_assoc] },
{ intros c l IH,
refine eq_of_forall_ge_iff (λ d, (((power_is_normal a1).trans
(add_is_normal b)).limit_le l).trans _),
simp only [IH] {contextual := tt},
exact (((mul_is_normal $ power_pos b (pos_iff_ne_zero.2 a0)).trans
(power_is_normal a1)).limit_le l).symm }
end
theorem power_dvd_power (a) {b c : ordinal}
(h : b ≤ c) : a ^ b ∣ a ^ c :=
by rw [← add_sub_cancel_of_le h, power_add]; apply dvd_mul
theorem power_dvd_power_iff {a b c : ordinal}
(a1 : 1 < a) : a ^ b ∣ a ^ c ↔ b ≤ c :=
⟨λ h, le_of_not_lt $ λ hn,
not_le_of_lt ((power_lt_power_iff_right a1).2 hn) $
le_of_dvd (power_ne_zero _ $ one_le_iff_ne_zero.1 $ le_of_lt a1) h,
power_dvd_power _⟩
theorem power_mul (a b c : ordinal) : a ^ (b * c) = (a ^ b) ^ c :=
begin
by_cases b0 : b = 0, {simp only [b0, zero_mul, power_zero, one_power]},
by_cases a0 : a = 0,
{ subst a,
by_cases c0 : c = 0, {simp only [c0, mul_zero, power_zero]},
simp only [zero_power b0, zero_power c0, zero_power (mul_ne_zero b0 c0)] },
cases eq_or_lt_of_le (one_le_iff_ne_zero.2 a0) with a1 a1,
{ subst a1, simp only [one_power] },
apply limit_rec_on c,
{ simp only [mul_zero, power_zero] },
{ intros c IH,
rw [mul_succ, power_add, IH, power_succ] },
{ intros c l IH,
refine eq_of_forall_ge_iff (λ d, (((power_is_normal a1).trans
(mul_is_normal (pos_iff_ne_zero.2 b0))).limit_le l).trans _),
simp only [IH] {contextual := tt},
exact (power_le_of_limit (power_ne_zero _ a0) l).symm }
end
/-- The ordinal logarithm is the solution `u` to the equation
`x = b ^ u * v + w` where `v < b` and `w < b`. -/
def log (b : ordinal) (x : ordinal) : ordinal :=
if h : 1 < b then pred $
omin {o | x < b^o} ⟨succ x, succ_le.1 (le_power_self _ h)⟩
else 0
@[simp] theorem log_not_one_lt {b : ordinal} (b1 : ¬ 1 < b) (x : ordinal) : log b x = 0 :=
by simp only [log, dif_neg b1]
theorem log_def {b : ordinal} (b1 : 1 < b) (x : ordinal) : log b x =
pred (omin {o | x < b^o} (log._proof_1 b x b1)) :=
by simp only [log, dif_pos b1]
@[simp] theorem log_zero (b : ordinal) : log b 0 = 0 :=
if b1 : 1 < b then
by rw [log_def b1, ← le_zero, pred_le];
apply omin_le; change 0<b^succ 0;
rw [succ_zero, power_one];
exact lt_trans zero_lt_one b1
else by simp only [log_not_one_lt b1]
theorem succ_log_def {b x : ordinal} (b1 : 1 < b) (x0 : 0 < x) : succ (log b x) =
omin {o | x < b^o} (log._proof_1 b x b1) :=
begin
let t := omin {o | x < b^o} (log._proof_1 b x b1),
have : x < b ^ t := omin_mem {o | x < b^o} _,
rcases zero_or_succ_or_limit t with h|h|h,
{ refine (not_lt_of_le (one_le_iff_pos.2 x0) _).elim,
simpa only [h, power_zero] },
{ rw [show log b x = pred t, from log_def b1 x,
succ_pred_iff_is_succ.2 h] },
{ rcases (lt_power_of_limit (ne_of_gt $ lt_trans zero_lt_one b1) h).1 this with ⟨a, h₁, h₂⟩,
exact (not_le_of_lt h₁).elim (le_omin.1 (le_refl t) a h₂) }
end
theorem lt_power_succ_log {b : ordinal} (b1 : 1 < b) (x : ordinal) :
x < b ^ succ (log b x) :=
begin
cases lt_or_eq_of_le (zero_le x) with x0 x0,
{ rw [succ_log_def b1 x0], exact omin_mem {o | x < b^o} _ },
{ subst x, apply power_pos _ (lt_trans zero_lt_one b1) }
end
theorem power_log_le (b) {x : ordinal} (x0 : 0 < x) :
b ^ log b x ≤ x :=
begin
by_cases b0 : b = 0,
{ rw [b0, zero_power'],
refine le_trans (sub_le_self _ _) (one_le_iff_pos.2 x0) },
cases lt_or_eq_of_le (one_le_iff_ne_zero.2 b0) with b1 b1,
{ refine le_of_not_lt (λ h, not_le_of_lt (lt_succ_self (log b x)) _),
have := @omin_le {o | x < b^o} _ _ h,
rwa ← succ_log_def b1 x0 at this },
{ rw [← b1, one_power], exact one_le_iff_pos.2 x0 }
end
theorem le_log {b x c : ordinal} (b1 : 1 < b) (x0 : 0 < x) :
c ≤ log b x ↔ b ^ c ≤ x :=
⟨λ h, le_trans ((power_le_power_iff_right b1).2 h) (power_log_le b x0),
λ h, le_of_not_lt $ λ hn,
not_le_of_lt (lt_power_succ_log b1 x) $
le_trans ((power_le_power_iff_right b1).2 (succ_le.2 hn)) h⟩
theorem log_lt {b x c : ordinal} (b1 : 1 < b) (x0 : 0 < x) :
log b x < c ↔ x < b ^ c :=
le_iff_le_iff_lt_iff_lt.1 (le_log b1 x0)
theorem log_le_log (b) {x y : ordinal} (xy : x ≤ y) :
log b x ≤ log b y :=
if x0 : x = 0 then by simp only [x0, log_zero, zero_le] else
have x0 : 0 < x, from pos_iff_ne_zero.2 x0,
if b1 : 1 < b then
(le_log b1 (lt_of_lt_of_le x0 xy)).2 $ le_trans (power_log_le _ x0) xy
else by simp only [log_not_one_lt b1, zero_le]
theorem log_le_self (b x : ordinal) : log b x ≤ x :=
if x0 : x = 0 then by simp only [x0, log_zero, zero_le] else
if b1 : 1 < b then
le_trans (le_power_self _ b1) (power_log_le b (pos_iff_ne_zero.2 x0))
else by simp only [log_not_one_lt b1, zero_le]
@[simp] theorem nat_cast_mul {m n : ℕ} : ((m * n : ℕ) : ordinal) = m * n :=
by induction n with n IH; [simp only [nat.cast_zero, nat.mul_zero, mul_zero],
rw [nat.mul_succ, nat.cast_add, IH, nat.cast_succ, mul_add_one]]
@[simp] theorem nat_cast_power {m n : ℕ} : ((pow m n : ℕ) : ordinal) = m ^ n :=
by induction n with n IH; [simp only [nat.pow_zero, nat.cast_zero, power_zero, nat.cast_one],
rw [nat.pow_succ, nat_cast_mul, IH, nat.cast_succ, ← succ_eq_add_one, power_succ]]
@[simp] theorem nat_cast_le {m n : ℕ} : (m : ordinal) ≤ n ↔ m ≤ n :=
by rw [← cardinal.ord_nat, ← cardinal.ord_nat,
cardinal.ord_le_ord, cardinal.nat_cast_le]
@[simp] theorem nat_cast_lt {m n : ℕ} : (m : ordinal) < n ↔ m < n :=
by simp only [lt_iff_le_not_le, nat_cast_le]
@[simp] theorem nat_cast_inj {m n : ℕ} : (m : ordinal) = n ↔ m = n :=
by simp only [le_antisymm_iff, nat_cast_le]
@[simp] theorem nat_cast_eq_zero {n : ℕ} : (n : ordinal) = 0 ↔ n = 0 :=
@nat_cast_inj n 0
@[simp] theorem nat_cast_ne_zero {n : ℕ} : (n : ordinal) ≠ 0 ↔ n ≠ 0 :=
not_congr nat_cast_eq_zero
@[simp] theorem nat_cast_pos {n : ℕ} : (0 : ordinal) < n ↔ 0 < n :=
@nat_cast_lt 0 n
@[simp] theorem nat_cast_sub {m n : ℕ} : ((m - n : ℕ) : ordinal) = m - n :=
(_root_.le_total m n).elim
(λ h, by rw [nat.sub_eq_zero_iff_le.2 h, sub_eq_zero_iff_le.2 (nat_cast_le.2 h)]; refl)
(λ h, (add_left_cancel n).1 $ by rw [← nat.cast_add,
nat.add_sub_cancel' h, add_sub_cancel_of_le (nat_cast_le.2 h)])
@[simp] theorem nat_cast_div {m n : ℕ} : ((m / n : ℕ) : ordinal) = m / n :=
if n0 : n = 0 then by simp only [n0, nat.div_zero, nat.cast_zero, div_zero] else
have n0':_, from nat_cast_ne_zero.2 n0,
le_antisymm
(by rw [le_div n0', ← nat_cast_mul, nat_cast_le, mul_comm];
apply nat.div_mul_le_self)
(by rw [div_le n0', succ, ← nat.cast_succ, ← nat_cast_mul,
nat_cast_lt, mul_comm, ← nat.div_lt_iff_lt_mul _ _ (nat.pos_of_ne_zero n0)];
apply nat.lt_succ_self)
@[simp] theorem nat_cast_mod {m n : ℕ} : ((m % n : ℕ) : ordinal) = m % n :=
by rw [← add_left_cancel (n*(m/n)), div_add_mod, ← nat_cast_div, ← nat_cast_mul, ← nat.cast_add,
add_comm, nat.mod_add_div]
@[simp] theorem nat_le_card {o} {n : ℕ} : (n : cardinal) ≤ card o ↔ (n : ordinal) ≤ o :=
⟨λ h, by rwa [← cardinal.ord_le, cardinal.ord_nat] at h,
λ h, card_nat n ▸ card_le_card h⟩
@[simp] theorem nat_lt_card {o} {n : ℕ} : (n : cardinal) < card o ↔ (n : ordinal) < o :=
by rw [← succ_le, ← cardinal.succ_le, cardinal.nat_succ, nat_le_card]; refl
@[simp] theorem card_lt_nat {o} {n : ℕ} : card o < n ↔ o < n :=
le_iff_le_iff_lt_iff_lt.1 nat_le_card
@[simp] theorem card_le_nat {o} {n : ℕ} : card o ≤ n ↔ o ≤ n :=
le_iff_le_iff_lt_iff_lt.2 nat_lt_card
@[simp] theorem card_eq_nat {o} {n : ℕ} : card o = n ↔ o = n :=
by simp only [le_antisymm_iff, card_le_nat, nat_le_card]
@[simp] theorem type_fin (n : ℕ) : @type (fin n) (<) _ = n :=
by rw [← card_eq_nat, card_type, mk_fin]
@[simp] theorem lift_nat_cast (n : ℕ) : lift n = n :=
by induction n with n ih; [simp only [nat.cast_zero, lift_zero],
simp only [nat.cast_succ, lift_add, ih, lift_one]]
theorem lift_type_fin (n : ℕ) : lift (@type (fin n) (<) _) = n :=
by simp only [type_fin, lift_nat_cast]
theorem fintype_card (r : α → α → Prop) [is_well_order α r] [fintype α] : type r = fintype.card α :=
by rw [← card_eq_nat, card_type, fintype_card]
end ordinal
namespace cardinal
open ordinal
@[simp] theorem ord_omega : ord.{u} omega = ordinal.omega :=
le_antisymm (ord_le.2 $ le_refl _) $
le_of_forall_lt $ λ o h, begin
rcases ordinal.lt_lift_iff.1 h with ⟨o, rfl, h'⟩,
rw [lt_ord, ← lift_card, ← lift_omega.{0 u},
lift_lt, ← typein_enum (<) h'],
exact lt_omega_iff_fintype.2 ⟨set.fintype_lt_nat _⟩
end
@[simp] theorem add_one_of_omega_le {c} (h : omega ≤ c) : c + 1 = c :=
by rw [add_comm, ← card_ord c, ← card_one,
← card_add, one_add_of_omega_le];
rwa [← ord_omega, ord_le_ord]
end cardinal
namespace ordinal
theorem lt_omega {o : ordinal.{u}} : o < omega ↔ ∃ n : ℕ, o = n :=
by rw [← cardinal.ord_omega, cardinal.lt_ord, lt_omega]; simp only [card_eq_nat]
theorem nat_lt_omega (n : ℕ) : (n : ordinal) < omega :=
lt_omega.2 ⟨_, rfl⟩
theorem omega_pos : 0 < omega := nat_lt_omega 0
theorem omega_ne_zero : omega ≠ 0 := ne_of_gt omega_pos
theorem one_lt_omega : 1 < omega := by simpa only [nat.cast_one] using nat_lt_omega 1
theorem omega_is_limit : is_limit omega :=
⟨omega_ne_zero, λ o h,
let ⟨n, e⟩ := lt_omega.1 h in
by rw [e]; exact nat_lt_omega (n+1)⟩
theorem omega_le {o : ordinal.{u}} : omega ≤ o ↔ ∀ n : ℕ, (n : ordinal) ≤ o :=
⟨λ h n, le_trans (le_of_lt (nat_lt_omega _)) h,
λ H, le_of_forall_lt $ λ a h,
let ⟨n, e⟩ := lt_omega.1 h in
by rw [e, ← succ_le]; exact H (n+1)⟩
theorem nat_lt_limit {o} (h : is_limit o) : ∀ n : ℕ, (n : ordinal) < o
| 0 := lt_of_le_of_ne (zero_le o) h.1.symm
| (n+1) := h.2 _ (nat_lt_limit n)
theorem omega_le_of_is_limit {o} (h : is_limit o) : omega ≤ o :=
omega_le.2 $ λ n, le_of_lt $ nat_lt_limit h n
theorem add_omega {a : ordinal} (h : a < omega) : a + omega = omega :=
begin
rcases lt_omega.1 h with ⟨n, rfl⟩,
clear h, induction n with n IH,
{ rw [nat.cast_zero, zero_add] },
{ rw [nat.cast_succ, add_assoc, one_add_of_omega_le (le_refl _), IH] }
end
theorem add_lt_omega {a b : ordinal} (ha : a < omega) (hb : b < omega) : a + b < omega :=
match a, b, lt_omega.1 ha, lt_omega.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ := by rw [← nat.cast_add]; apply nat_lt_omega
end
theorem mul_lt_omega {a b : ordinal} (ha : a < omega) (hb : b < omega) : a * b < omega :=
match a, b, lt_omega.1 ha, lt_omega.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ := by rw [← nat_cast_mul]; apply nat_lt_omega
end
theorem is_limit_iff_omega_dvd {a : ordinal} : is_limit a ↔ a ≠ 0 ∧ omega ∣ a :=
begin
refine ⟨λ l, ⟨l.1, ⟨a / omega, le_antisymm _ (mul_div_le _ _)⟩⟩, λ h, _⟩,
{ refine (limit_le l).2 (λ x hx, le_of_lt _),
rw [← div_lt omega_ne_zero, ← succ_le, le_div omega_ne_zero,
mul_succ, add_le_of_limit omega_is_limit],
intros b hb,
rcases lt_omega.1 hb with ⟨n, rfl⟩,
exact le_trans (add_le_add_right (mul_div_le _ _) _)
(le_of_lt $ lt_sub.1 $ nat_lt_limit (sub_is_limit l hx) _) },
{ rcases h with ⟨a0, b, rfl⟩,
refine mul_is_limit_left omega_is_limit
(pos_iff_ne_zero.2 $ mt _ a0),
intro e, simp only [e, mul_zero] }
end
local infixr ^ := @pow ordinal ordinal ordinal.has_pow
theorem power_lt_omega {a b : ordinal} (ha : a < omega) (hb : b < omega) : a ^ b < omega :=
match a, b, lt_omega.1 ha, lt_omega.1 hb with
| _, _, ⟨m, rfl⟩, ⟨n, rfl⟩ := by rw [← nat_cast_power]; apply nat_lt_omega
end
theorem add_omega_power {a b : ordinal} (h : a < omega ^ b) : a + omega ^ b = omega ^ b :=
begin
refine le_antisymm _ (le_add_left _ _),
revert h, apply limit_rec_on b,
{ intro h, rw [power_zero, ← succ_zero, lt_succ, le_zero] at h,
rw [h, zero_add] },
{ intros b _ h, rw [power_succ] at h,
rcases (lt_mul_of_limit omega_is_limit).1 h with ⟨x, xo, ax⟩,
refine le_trans (add_le_add_right (le_of_lt ax) _) _,
rw [power_succ, ← mul_add, add_omega xo] },
{ intros b l IH h, rcases (lt_power_of_limit omega_ne_zero l).1 h with ⟨x, xb, ax⟩,
refine (((add_is_normal a).trans (power_is_normal one_lt_omega))
.limit_le l).2 (λ y yb, _),
let z := max x y,
have := IH z (max_lt xb yb)
(lt_of_lt_of_le ax $ power_le_power_right omega_pos (le_max_left _ _)),
exact le_trans (add_le_add_left (power_le_power_right omega_pos (le_max_right _ _)) _)
(le_trans this (power_le_power_right omega_pos $ le_of_lt $ max_lt xb yb)) }
end
theorem add_lt_omega_power {a b c : ordinal} (h₁ : a < omega ^ c) (h₂ : b < omega ^ c) :
a + b < omega ^ c :=
by rwa [← add_omega_power h₁, add_lt_add_iff_left]
theorem add_absorp {a b c : ordinal} (h₁ : a < omega ^ b) (h₂ : omega ^ b ≤ c) : a + c = c :=
by rw [← add_sub_cancel_of_le h₂, ← add_assoc, add_omega_power h₁]
theorem add_absorp_iff {o : ordinal} (o0 : o > 0) : (∀ a < o, a + o = o) ↔ ∃ a, o = omega ^ a :=
⟨λ H, ⟨log omega o, begin
refine ((lt_or_eq_of_le (power_log_le _ o0))
.resolve_left $ λ h, _).symm,
have := H _ h,
have := lt_power_succ_log one_lt_omega o,
rw [power_succ, lt_mul_of_limit omega_is_limit] at this,
rcases this with ⟨a, ao, h'⟩,
rcases lt_omega.1 ao with ⟨n, rfl⟩, clear ao,
revert h', apply not_lt_of_le,
suffices e : omega ^ log omega o * ↑n + o = o,
{ simpa only [e] using le_add_right (omega ^ log omega o * ↑n) o },
induction n with n IH, {simp only [nat.cast_zero, mul_zero, zero_add]},
simp only [nat.cast_succ, mul_add_one, add_assoc, this, IH]
end⟩,
λ ⟨b, e⟩, e.symm ▸ λ a, add_omega_power⟩
theorem add_mul_limit_aux {a b c : ordinal} (ba : b + a = a)
(l : is_limit 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 $ λ c' h, begin
apply le_trans (mul_le_mul_left _ (le_of_lt $ lt_succ_self _)),
rw IH _ h,
apply le_trans (add_le_add_left _ _),
{ rw ← mul_succ, exact mul_le_mul_left _ (succ_le.2 $ l.2 _ h) },
{ rw ← ba, exact le_add_right _ _ }
end)
(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 :=
begin
apply limit_rec_on c,
{ simp only [succ_zero, mul_one] },
{ intros c IH,
rw [mul_succ, IH, ← add_assoc, add_assoc _ b, ba, ← mul_succ] },
{ intros c l IH,
have := add_mul_limit_aux ba l IH,
rw [mul_succ, add_mul_limit_aux ba l IH, mul_succ, add_assoc] }
end
theorem add_mul_limit {a b c : ordinal} (ba : b + a = a)
(l : is_limit c) : (a + b) * c = a * c :=
add_mul_limit_aux ba l (λ c' _, add_mul_succ c' ba)
theorem mul_omega {a : ordinal} (a0 : 0 < a) (ha : a < omega) : a * omega = omega :=
le_antisymm
((mul_le_of_limit omega_is_limit).2 $ λ b hb, le_of_lt (mul_lt_omega ha hb))
(by simpa only [one_mul] using mul_le_mul_right omega (one_le_iff_pos.2 a0))
theorem mul_lt_omega_power {a b c : ordinal}
(c0 : 0 < c) (ha : a < omega ^ c) (hb : b < omega) : a * b < omega ^ c :=
if b0 : b = 0 then by simp only [b0, mul_zero, power_pos _ omega_pos] else begin
rcases zero_or_succ_or_limit c with rfl|⟨c,rfl⟩|l,
{ exact (lt_irrefl _).elim c0 },
{ rw power_succ at ha,
rcases ((mul_is_normal $ power_pos _ omega_pos).limit_lt
omega_is_limit).1 ha with ⟨n, hn, an⟩,
refine lt_of_le_of_lt (mul_le_mul_right _ (le_of_lt an)) _,
rw [power_succ, mul_assoc, mul_lt_mul_iff_left (power_pos _ omega_pos)],
exact mul_lt_omega hn hb },
{ rcases ((power_is_normal one_lt_omega).limit_lt l).1 ha with ⟨x, hx, ax⟩,
refine lt_of_le_of_lt (mul_le_mul (le_of_lt ax) (le_of_lt hb)) _,
rw [← power_succ, power_lt_power_iff_right one_lt_omega],
exact l.2 _ hx }
end
theorem mul_omega_dvd {a : ordinal}
(a0 : 0 < a) (ha : a < omega) : ∀ {b}, omega ∣ b → a * b = b
| _ ⟨b, rfl⟩ := by rw [← mul_assoc, mul_omega a0 ha]
theorem mul_omega_power_power {a b : ordinal} (a0 : 0 < a) (h : a < omega ^ omega ^ b) :
a * omega ^ omega ^ b = omega ^ omega ^ b :=
begin
by_cases b0 : b = 0, {rw [b0, power_zero, power_one] at h ⊢, exact mul_omega a0 h},
refine le_antisymm _ (by simpa only [one_mul] using mul_le_mul_right (omega^omega^b) (one_le_iff_pos.2 a0)),
rcases (lt_power_of_limit omega_ne_zero (power_is_limit_left omega_is_limit b0)).1 h
with ⟨x, xb, ax⟩,
refine le_trans (mul_le_mul_right _ (le_of_lt ax)) _,
rw [← power_add, add_omega_power xb]
end
theorem power_omega {a : ordinal} (a1 : 1 < a) (h : a < omega) : a ^ omega = omega :=
le_antisymm
((power_le_of_limit (one_le_iff_ne_zero.1 $ le_of_lt a1) omega_is_limit).2
(λ b hb, le_of_lt (power_lt_omega h hb)))
(le_power_self _ a1)
theorem CNF_aux {b o : ordinal} (b0 : b ≠ 0) (o0 : o ≠ 0) :
o % b ^ log b o < o :=
lt_of_lt_of_le
(mod_lt _ $ power_ne_zero _ b0)
(power_log_le _ $ pos_iff_ne_zero.2 o0)
@[elab_as_eliminator] noncomputable def CNF_rec {b : ordinal} (b0 : b ≠ 0)
{C : ordinal → Sort*}
(H0 : C 0)
(H : ∀ o, o ≠ 0 → o % b ^ log b o < o → C (o % b ^ log b o) → C o)
: ∀ o, C o
| o :=
if o0 : o = 0 then by rw o0; exact H0 else
have _, from CNF_aux b0 o0,
H o o0 this (CNF_rec (o % b ^ log b o))
using_well_founded {dec_tac := `[assumption]}
@[simp] theorem CNF_rec_zero {b} (b0) {C H0 H} : @CNF_rec b b0 C H0 H 0 = H0 :=
by rw [CNF_rec, dif_pos rfl]; refl
@[simp] theorem CNF_rec_ne_zero {b} (b0) {C H0 H o} (o0) :
@CNF_rec b b0 C H0 H o = H o o0 (CNF_aux b0 o0) (@CNF_rec b b0 C H0 H _) :=
by rw [CNF_rec, dif_neg o0]
/-- The Cantor normal form of an ordinal is the list of coefficients
in the base-`b` expansion of `o`.
CNF b (b ^ u₁ * v₁ + b ^ u₂ * v₂) = [(u₁, v₁), (u₂, v₂)] -/
def CNF (b := omega) (o : ordinal) : list (ordinal × ordinal) :=
if b0 : b = 0 then [] else
CNF_rec b0 [] (λ o o0 h IH, (log b o, o / b ^ log b o) :: IH) o
@[simp] theorem zero_CNF (o) : CNF 0 o = [] :=
dif_pos rfl
@[simp] theorem CNF_zero (b) : CNF b 0 = [] :=
if b0 : b = 0 then dif_pos b0 else
(dif_neg b0).trans $ CNF_rec_zero _
theorem CNF_ne_zero {b o : ordinal} (b0 : b ≠ 0) (o0 : o ≠ 0) :
CNF b o = (log b o, o / b ^ log b o) :: CNF b (o % b ^ log b o) :=
by unfold CNF; rw [dif_neg b0, dif_neg b0, CNF_rec_ne_zero b0 o0]
theorem one_CNF {o : ordinal} (o0 : o ≠ 0) :
CNF 1 o = [(0, o)] :=
by rw [CNF_ne_zero one_ne_zero o0, log_not_one_lt (lt_irrefl _), power_zero, mod_one, CNF_zero, div_one]
theorem CNF_foldr {b : ordinal} (b0 : b ≠ 0) (o) :
(CNF b o).foldr (λ p r, b ^ p.1 * p.2 + r) 0 = o :=
CNF_rec b0 (by rw CNF_zero; refl)
(λ o o0 h IH, by rw [CNF_ne_zero b0 o0, list.foldr_cons, IH, div_add_mod]) o
theorem CNF_pairwise_aux (b := omega) (o) :
(∀ p ∈ CNF b o, prod.fst p ≤ log b o) ∧
(CNF b o).pairwise (λ p q, q.1 < p.1) :=
begin
by_cases b0 : b = 0,
{ simp only [b0, zero_CNF, list.pairwise.nil, and_true], exact λ _, false.elim },
cases lt_or_eq_of_le (one_le_iff_ne_zero.2 b0) with b1 b1,
{ refine CNF_rec b0 _ _ o,
{ simp only [CNF_zero, list.pairwise.nil, and_true], exact λ _, false.elim },
intros o o0 H IH, cases IH with IH₁ IH₂,
simp only [CNF_ne_zero b0 o0, list.forall_mem_cons, list.pairwise_cons, IH₂, and_true],
refine ⟨⟨le_refl _, λ p m, _⟩, λ p m, _⟩,
{ exact le_trans (IH₁ p m) (log_le_log _ $ le_of_lt H) },
{ refine lt_of_le_of_lt (IH₁ p m) ((log_lt b1 _).2 _),
{ rw pos_iff_ne_zero, intro e,
rw e at m, simpa only [CNF_zero] using m },
{ exact mod_lt _ (power_ne_zero _ b0) } } },
{ by_cases o0 : o = 0,
{ simp only [o0, CNF_zero, list.pairwise.nil, and_true], exact λ _, false.elim },
rw [← b1, one_CNF o0],
simp only [list.mem_singleton, log_not_one_lt (lt_irrefl _), forall_eq, le_refl, true_and, list.pairwise_singleton] }
end
theorem CNF_pairwise (b := omega) (o) :
(CNF b o).pairwise (λ p q, prod.fst q < p.1) :=
(CNF_pairwise_aux _ _).2
theorem CNF_fst_le_log (b := omega) (o) :
∀ p ∈ CNF b o, prod.fst p ≤ log b o :=
(CNF_pairwise_aux _ _).1
theorem CNF_fst_le (b := omega) (o) (p ∈ CNF b o) : prod.fst p ≤ o :=
le_trans (CNF_fst_le_log _ _ p H) (log_le_self _ _)
theorem CNF_snd_lt {b : ordinal} (b1 : 1 < b) (o) :
∀ p ∈ CNF b o, prod.snd p < b :=
begin
have b0 := ne_of_gt (lt_trans zero_lt_one b1),
refine CNF_rec b0 (λ _, by rw [CNF_zero]; exact false.elim) _ o,
intros o o0 H IH,
simp only [CNF_ne_zero b0 o0, list.mem_cons_iff, list.forall_mem_cons', iff_true_intro IH, and_true],
rw [div_lt (power_ne_zero _ b0), ← power_succ],
exact lt_power_succ_log b1 _,
end
theorem CNF_sorted (b := omega) (o) :
((CNF b o).map prod.fst).sorted (>) :=
by rw [list.sorted, list.pairwise_map]; exact CNF_pairwise b o
/-- The next fixed point function, the least fixed point of the
normal function `f` above `a`. -/
def nfp (f : ordinal → ordinal) (a : ordinal) :=
sup (λ n : ℕ, f^[n] a)
theorem iterate_le_nfp (f a n) : f^[n] a ≤ nfp f a :=
le_sup _ n
theorem le_nfp_self (f a) : a ≤ nfp f a :=
iterate_le_nfp f a 0
theorem is_normal.lt_nfp {f} (H : is_normal f) {a b} :
f b < nfp f a ↔ b < nfp f a :=
lt_sup.trans $ iff.trans
(by exact
⟨λ ⟨n, h⟩, ⟨n, lt_of_le_of_lt (H.le_self _) h⟩,
λ ⟨n, h⟩, ⟨n+1, by rw nat.iterate_succ'; exact H.lt_iff.2 h⟩⟩)
lt_sup.symm
theorem is_normal.nfp_le {f} (H : is_normal f) {a b} :
nfp f a ≤ f b ↔ nfp f a ≤ b :=
le_iff_le_iff_lt_iff_lt.2 H.lt_nfp
theorem is_normal.nfp_le_fp {f} (H : is_normal f) {a b}
(ab : a ≤ b) (h : f b ≤ b) : nfp f a ≤ b :=
sup_le.2 $ λ i, begin
induction i with i IH generalizing a, {exact ab},
exact IH (le_trans (H.le_iff.2 ab) h),
end
theorem is_normal.nfp_fp {f} (H : is_normal f) (a) : f (nfp f a) = nfp f a :=
begin
refine le_antisymm _ (H.le_self _),
cases le_or_lt (f a) a with aa aa,
{ rwa le_antisymm (H.nfp_le_fp (le_refl _) aa) (le_nfp_self _ _) },
rcases zero_or_succ_or_limit (nfp f a) with e|⟨b, e⟩|l,
{ refine @le_trans _ _ _ (f a) _ (H.le_iff.2 _) (iterate_le_nfp f a 1),
simp only [e, zero_le] },
{ have : f b < nfp f a := H.lt_nfp.2 (by simp only [e, lt_succ_self]),
rw [e, lt_succ] at this,
have ab : a ≤ b,
{ rw [← lt_succ, ← e],
exact lt_of_lt_of_le aa (iterate_le_nfp f a 1) },
refine le_trans (H.le_iff.2 (H.nfp_le_fp ab this))
(le_trans this (le_of_lt _)),
simp only [e, lt_succ_self] },
{ exact (H.2 _ l _).2 (λ b h, le_of_lt (H.lt_nfp.2 h)) }
end
theorem is_normal.le_nfp {f} (H : is_normal f) {a b} :
f b ≤ nfp f a ↔ b ≤ nfp f a :=
⟨le_trans (H.le_self _), λ h,
by simpa only [H.nfp_fp] using H.le_iff.2 h⟩
/-- The derivative of a normal function `f` is
the sequence of fixed points of `f`. -/
def deriv (f : ordinal → ordinal) (o : ordinal) : ordinal :=
limit_rec_on o (nfp f 0)
(λ a IH, nfp f (succ IH))
(λ a l, bsup.{u u} a)
@[simp] theorem deriv_zero (f) : deriv f 0 = nfp f 0 := limit_rec_on_zero _ _ _
@[simp] theorem deriv_succ (f o) : deriv f (succ o) = nfp f (succ (deriv f o)) :=
limit_rec_on_succ _ _ _ _
theorem deriv_limit (f) {o} : is_limit o →
deriv f o = bsup.{u u} o (λ a _, deriv f a) :=
limit_rec_on_limit _ _ _ _
theorem deriv_is_normal (f) : is_normal (deriv f) :=
⟨λ o, by rw [deriv_succ, ← succ_le]; apply le_nfp_self,
λ o l a, by rw [deriv_limit _ l, bsup_le]⟩
theorem is_normal.deriv_fp {f} (H : is_normal f) (o) : f (deriv.{u} f o) = deriv f o :=
begin
apply limit_rec_on o,
{ rw [deriv_zero, H.nfp_fp] },
{ intros o ih, rw [deriv_succ, H.nfp_fp] },
intros o l IH,
rw [deriv_limit _ l, is_normal.bsup.{u u u} H _ l.1],
refine eq_of_forall_ge_iff (λ c, _),
simp only [bsup_le, IH] {contextual:=tt}
end
theorem is_normal.fp_iff_deriv {f} (H : is_normal f)
{a} : f a ≤ a ↔ ∃ o, a = deriv f o :=
⟨λ ha, begin
suffices : ∀ o (_:a ≤ deriv f o), ∃ o, a = deriv f o,
from this a ((deriv_is_normal _).le_self _),
intro o, apply limit_rec_on o,
{ intros h₁,
refine ⟨0, le_antisymm h₁ _⟩,
rw deriv_zero,
exact H.nfp_le_fp (zero_le _) ha },
{ intros o IH h₁,
cases le_or_lt a (deriv f o), {exact IH h},
refine ⟨succ o, le_antisymm h₁ _⟩,
rw deriv_succ,
exact H.nfp_le_fp (succ_le.2 h) ha },
{ intros o l IH h₁,
cases eq_or_lt_of_le h₁, {exact ⟨_, h⟩},
rw [deriv_limit _ l, ← not_le, bsup_le, not_ball] at h,
exact let ⟨o', h, hl⟩ := h in IH o' h (le_of_not_le hl) }
end, λ ⟨o, e⟩, e.symm ▸ le_of_eq (H.deriv_fp _)⟩
end ordinal
namespace cardinal
open ordinal
theorem ord_is_limit {c} (co : omega ≤ c) : (ord c).is_limit :=
begin
refine ⟨λ h, omega_ne_zero _, λ a, le_imp_le_iff_lt_imp_lt.1 _⟩,
{ rw [← ordinal.le_zero, ord_le] at h,
simpa only [card_zero, le_zero] using le_trans co h },
{ intro h, rw [ord_le] at h ⊢,
rwa [← @add_one_of_omega_le (card a), ← card_succ],
rw [← ord_le, ← le_succ_of_is_limit, ord_le],
{ exact le_trans co h },
{ rw ord_omega, exact omega_is_limit } }
end
def aleph_idx.initial_seg : @initial_seg cardinal ordinal (<) (<) :=
@order_embedding.collapse cardinal ordinal (<) (<) _ cardinal.ord.order_embedding
/-- The `aleph'` index function, which gives the ordinal index of a cardinal.
(The `aleph'` part is because unlike `aleph` this counts also the
finite stages. So `aleph_idx n = n`, `aleph_idx ω = ω`,
`aleph_idx ℵ₁ = ω + 1` and so on.) -/
def aleph_idx : cardinal → ordinal := aleph_idx.initial_seg
@[simp] theorem aleph_idx.initial_seg_coe :
(aleph_idx.initial_seg : cardinal → ordinal) = aleph_idx := rfl
@[simp] theorem aleph_idx_lt {a b} : aleph_idx a < aleph_idx b ↔ a < b :=
aleph_idx.initial_seg.to_order_embedding.ord'.symm
@[simp] theorem aleph_idx_le {a b} : aleph_idx a ≤ aleph_idx b ↔ a ≤ b :=
by rw [← not_lt, ← not_lt, aleph_idx_lt]
theorem aleph_idx.init {a b} : b < aleph_idx a → ∃ c, aleph_idx c = b :=
aleph_idx.initial_seg.init _ _
def aleph_idx.order_iso : @order_iso cardinal.{u} ordinal.{u} (<) (<) :=
@order_iso.of_surjective cardinal.{u} ordinal.{u} (<) (<) aleph_idx.initial_seg.{u} $
(initial_seg.eq_or_principal aleph_idx.initial_seg.{u}).resolve_right $
λ ⟨o, e⟩, begin
have : ∀ c, aleph_idx c < o := λ c, (e _).2 ⟨_, rfl⟩,
refine ordinal.induction_on o _ this, introsI α r _ h,
let s := sup.{u u} (λ a:α, inv_fun aleph_idx (ordinal.typein r a)),
apply not_le_of_gt (lt_succ_self s),
have I : injective aleph_idx := aleph_idx.initial_seg.to_embedding.inj,
simpa only [typein_enum, left_inverse_inv_fun I (succ s)] using
le_sup.{u u} (λ a, inv_fun aleph_idx (ordinal.typein r a))
(ordinal.enum r _ (h (succ s))),
end
@[simp] theorem aleph_idx.order_iso_coe :
(aleph_idx.order_iso : cardinal → ordinal) = aleph_idx := rfl
@[simp] theorem type_cardinal : @ordinal.type cardinal (<) _ = ordinal.univ.{u (u+1)} :=
by rw ordinal.univ_id; exact quotient.sound ⟨aleph_idx.order_iso⟩
@[simp] theorem mk_cardinal : mk cardinal = univ.{u (u+1)} :=
by simpa only [card_type, card_univ] using congr_arg card type_cardinal
def aleph'.order_iso := cardinal.aleph_idx.order_iso.symm
/-- The `aleph'` function gives the cardinals listed by their ordinal
index, and is the inverse of `aleph_idx`.
`aleph' n = n`, `aleph' ω = ω`, `aleph' (ω + 1) = ℵ₁, etc. -/
def aleph' : ordinal → cardinal := aleph'.order_iso
@[simp] theorem aleph'.order_iso_coe :
(aleph'.order_iso : ordinal → cardinal) = aleph' := rfl
@[simp] theorem aleph'_lt {o₁ o₂ : ordinal.{u}} : aleph' o₁ < aleph' o₂ ↔ o₁ < o₂ :=
aleph'.order_iso.ord'.symm
@[simp] theorem aleph'_le {o₁ o₂ : ordinal.{u}} : aleph' o₁ ≤ aleph' o₂ ↔ o₁ ≤ o₂ :=
le_iff_le_iff_lt_iff_lt.2 aleph'_lt
@[simp] theorem aleph'_aleph_idx (c : cardinal.{u}) : aleph' c.aleph_idx = c :=
cardinal.aleph_idx.order_iso.to_equiv.inverse_apply_apply c
@[simp] theorem aleph_idx_aleph' (o : ordinal.{u}) : (aleph' o).aleph_idx = o :=
cardinal.aleph_idx.order_iso.to_equiv.apply_inverse_apply o
@[simp] theorem aleph'_zero : aleph' 0 = 0 :=
by rw [← le_zero, ← aleph'_aleph_idx 0, aleph'_le];
apply ordinal.zero_le
@[simp] theorem aleph'_succ {o : ordinal.{u}} : aleph' o.succ = (aleph' o).succ :=
le_antisymm
(cardinal.aleph_idx_le.1 $
by rw [aleph_idx_aleph', ordinal.succ_le, ← aleph'_lt, aleph'_aleph_idx];
apply cardinal.lt_succ_self)
(cardinal.succ_le.2 $ aleph'_lt.2 $ ordinal.lt_succ_self _)
@[simp] theorem aleph'_nat : ∀ n : ℕ, aleph' n = n
| 0 := aleph'_zero
| (n+1) := show aleph' (ordinal.succ n) = n.succ,
by rw [aleph'_succ, aleph'_nat, nat_succ]
theorem aleph'_le_of_limit {o : ordinal.{u}} (l : o.is_limit) {c} :
aleph' o ≤ c ↔ ∀ o' < o, aleph' o' ≤ c :=
⟨λ h o' h', le_trans (aleph'_le.2 $ le_of_lt h') h,
λ h, begin
rw [← aleph'_aleph_idx c, aleph'_le, ordinal.limit_le l],
intros x h',
rw [← aleph'_le, aleph'_aleph_idx],
exact h _ h'
end⟩
@[simp] theorem aleph'_omega : aleph' ordinal.omega = omega :=
eq_of_forall_ge_iff $ λ c, begin
simp only [aleph'_le_of_limit omega_is_limit, ordinal.lt_omega, exists_imp_distrib, omega_le],
exact forall_swap.trans (forall_congr $ λ n, by simp only [forall_eq, aleph'_nat]),
end
/-- The `aleph` function gives the infinite cardinals listed by their
ordinal index. `aleph 0 = ω`, `aleph 1 = succ ω` is the first
uncountable cardinal, and so on. -/
def aleph (o : ordinal) : cardinal := aleph' (ordinal.omega + o)
@[simp] theorem aleph_lt {o₁ o₂ : ordinal.{u}} : aleph o₁ < aleph o₂ ↔ o₁ < o₂ :=
aleph'_lt.trans (ordinal.add_lt_add_iff_left _)
@[simp] theorem aleph_le {o₁ o₂ : ordinal.{u}} : aleph o₁ ≤ aleph o₂ ↔ o₁ ≤ o₂ :=
le_iff_le_iff_lt_iff_lt.2 aleph_lt
@[simp] theorem aleph_succ {o : ordinal.{u}} : aleph o.succ = (aleph o).succ :=
by rw [aleph, ordinal.add_succ, aleph'_succ]; refl
@[simp] theorem aleph_zero : aleph 0 = omega :=
by simp only [aleph, add_zero, aleph'_omega]
theorem omega_le_aleph' {o : ordinal} : omega ≤ aleph' o ↔ ordinal.omega ≤ o :=
by rw [← aleph'_omega, aleph'_le]
theorem omega_le_aleph (o : ordinal) : omega ≤ aleph o :=
by rw [aleph, omega_le_aleph']; apply ordinal.le_add_right
theorem aleph_is_limit (o : ordinal) : is_limit (aleph o).ord :=
ord_is_limit $ omega_le_aleph _
theorem exists_aleph {c : cardinal} : omega ≤ c ↔ ∃ o, c = aleph o :=
⟨λ h, ⟨aleph_idx c - ordinal.omega,
by rw [aleph, ordinal.add_sub_cancel_of_le, aleph'_aleph_idx];
rwa [← omega_le_aleph', aleph'_aleph_idx]⟩,
λ ⟨o, e⟩, e.symm ▸ omega_le_aleph _⟩
theorem aleph'_is_normal : is_normal (ord ∘ aleph') :=
⟨λ o, ord_lt_ord.2 $ aleph'_lt.2 $ ordinal.lt_succ_self _,
λ o l a, by simp only [ord_le, aleph'_le_of_limit l]⟩
theorem aleph_is_normal : is_normal (ord ∘ aleph) :=
aleph'_is_normal.trans $ add_is_normal ordinal.omega
theorem mul_eq_self {c : cardinal} (h : omega ≤ c) : c * c = c :=
begin
refine le_antisymm _
(by simpa only [mul_one] using mul_le_mul_left c (le_trans (le_of_lt one_lt_omega) h)),
refine acc.rec_on (cardinal.wf.apply c) (λ c _,
quotient.induction_on c $ λ α IH ol, _) h,
rcases ord_eq α with ⟨r, wo, e⟩, resetI,
let := decidable_linear_order_of_STO' r,
have : is_well_order α (<) := wo,
let g : α × α → α := λ p, max p.1 p.2,
let f : α × α ↪ ordinal × (α × α) :=
⟨λ p:α×α, (typein (<) (g p), p), λ p q, congr_arg prod.snd⟩,
let s := f ⁻¹'o (prod.lex (<) (prod.lex (<) (<))),
have : is_well_order _ s := (order_embedding.preimage _ _).is_well_order,
suffices : type s ≤ type r, {exact card_le_card this},
refine le_of_forall_lt (λ o h, _),
rcases typein_surj s h with ⟨p, rfl⟩,
rw [← e, lt_ord],
refine lt_of_le_of_lt (_ : _ ≤ card (typein (<) (g p)).succ * card (typein (<) (g p)).succ) _,
{ have : {q|s q p} ⊆ (insert (g p) {x | x < (g p)}).prod (insert (g p) {x | x < (g p)}),
{ intros q h,
simp only [s, embedding.coe_fn_mk, order.preimage, typein_lt_typein, prod.lex_def, typein_inj] at h,
exact max_le_iff.1 (le_iff_lt_or_eq.2 $ h.imp_right and.left) },
suffices H : (insert (g p) {x | r x (g p)} : set α) ≃ ({x | r x (g p)} ⊕ punit),
{ exact ⟨(set.embedding_of_subset this).trans
((equiv.set.prod _ _).trans (H.prod_congr H)).to_embedding⟩ },
refine (equiv.set.insert _).trans
((equiv.refl _).sum_congr equiv.punit_equiv_punit),
apply @irrefl _ r },
cases lt_or_ge (card (typein (<) (g p)).succ) omega with qo qo,
{ exact lt_of_lt_of_le (mul_lt_omega qo qo) ol },
{ suffices, {exact lt_of_le_of_lt (IH _ this qo) this},
rw ← lt_ord, apply (ord_is_limit ol).2,
rw [mk_def, e], apply typein_lt_type }
end
theorem mul_eq_max {a b : cardinal} (ha : omega ≤ a) (hb : omega ≤ b) : a * b = max a b :=
le_antisymm
(mul_eq_self (le_trans ha (le_max_left a b)) ▸
mul_le_mul (le_max_left _ _) (le_max_right _ _)) $
max_le
(by simpa only [mul_one] using mul_le_mul_left a (le_trans (le_of_lt one_lt_omega) hb))
(by simpa only [one_mul] using mul_le_mul_right b (le_trans (le_of_lt one_lt_omega) ha))
theorem mul_lt_of_lt {a b c : cardinal} (hc : omega ≤ c)
(h1 : a < c) (h2 : b < c) : a * b < c :=
lt_of_le_of_lt (mul_le_mul (le_max_left a b) (le_max_right a b)) $
(lt_or_le (max a b) omega).elim
(λ h, lt_of_lt_of_le (mul_lt_omega h h) hc)
(λ h, by rw mul_eq_self h; exact max_lt h1 h2)
theorem add_eq_self {c : cardinal} (h : omega ≤ c) : c + c = c :=
le_antisymm
(by simpa only [nat.cast_bit0, nat.cast_one, mul_eq_self h, two_mul] using
mul_le_mul_right c (le_trans (le_of_lt $ nat_lt_omega 2) h))
(le_add_left c c)
theorem add_eq_max {a b : cardinal} (ha : omega ≤ a) : a + b = max a b :=
le_antisymm
(add_eq_self (le_trans ha (le_max_left a b)) ▸
add_le_add (le_max_left _ _) (le_max_right _ _)) $
max_le (le_add_right _ _) (le_add_left _ _)
theorem add_lt_of_lt {a b c : cardinal} (hc : omega ≤ c)
(h1 : a < c) (h2 : b < c) : a + b < c :=
lt_of_le_of_lt (add_le_add (le_max_left a b) (le_max_right a b)) $
(lt_or_le (max a b) omega).elim
(λ h, lt_of_lt_of_le (add_lt_omega h h) hc)
(λ h, by rw add_eq_self h; exact max_lt h1 h2)
theorem pow_le {κ μ : cardinal.{u}} (H1 : omega ≤ κ) (H2 : μ < omega) : κ^μ ≤ κ :=
let ⟨n, H3⟩ := lt_omega.1 H2 in
H3.symm ▸ (quotient.induction_on κ (λ α H1, nat.rec_on n
(le_of_lt $ lt_of_lt_of_le (by rw [nat.cast_zero, power_zero];
from one_lt_omega) H1)
(λ n ih, trans_rel_left _
(by rw [nat.cast_succ, power_add, power_one];
from mul_le_mul_right _ ih)
(mul_eq_self H1))) H1)
theorem mk_list_eq_mk {α : Type u} (H1 : omega ≤ mk α) : mk (list α) = mk α :=
eq.symm $ le_antisymm ⟨⟨λ x, [x], λ x y H, (list.cons.inj H).1⟩⟩ $
calc mk (list α)
= sum (λ n : ℕ, mk α ^ (n : cardinal.{u})) : mk_list_eq_sum_pow α
... ≤ sum (λ n : ℕ, mk α) : sum_le_sum _ _ $ λ n, pow_le H1 $ nat_lt_omega n
... = sum (λ n : ulift.{u} ℕ, mk α) : quotient.sound
⟨@equiv.sigma_congr_left _ _ (λ _, quotient.out (mk α)) equiv.ulift.symm⟩
... = omega * mk α : sum_const _ _
... = max (omega) (mk α) : mul_eq_max (le_refl _) H1
... = mk α : max_eq_right H1
end cardinal
|
f063b1662ec69f641d295dcf3b84b1d2e5011929 | df561f413cfe0a88b1056655515399c546ff32a5 | /4-proposition-world/l2.lean | 76358cac2362e4a4272945bd1239eaf2611a2faa | [] | no_license | nicholaspun/natural-number-game-solutions | 31d5158415c6f582694680044c5c6469032c2a06 | 1e2aed86d2e76a3f4a275c6d99e795ad30cf6df0 | refs/heads/main | 1,675,123,625,012 | 1,607,633,548,000 | 1,607,633,548,000 | 318,933,860 | 3 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 66 | lean | lemma imp_self (P : Prop) : P → P :=
begin
intro p, exact p,
end |
56b4d7fdb76ecbe36413119b45917e8245a3f726 | dc253be9829b840f15d96d986e0c13520b085033 | /spectrum/smash.hlean | 61392ad862a0e436e45668e0c046d408abb04a7b | [
"Apache-2.0"
] | permissive | cmu-phil/Spectral | 4ce68e5c1ef2a812ffda5260e9f09f41b85ae0ea | 3b078f5f1de251637decf04bd3fc8aa01930a6b3 | refs/heads/master | 1,685,119,195,535 | 1,684,169,772,000 | 1,684,169,772,000 | 46,450,197 | 42 | 13 | null | 1,505,516,767,000 | 1,447,883,921,000 | Lean | UTF-8 | Lean | false | false | 1,627 | hlean | import .spectrification ..homotopy.smash_adjoint
open pointed is_equiv equiv eq susp succ_str smash int
namespace spectrum
/- Smash product of a prespectrum and a type -/
definition smash_prespectrum (X : Type*) (Y : prespectrum) : prespectrum :=
prespectrum.mk (λ z, X ∧ Y z) begin
intro n, refine loop_susp_pintro (X ∧ Y n) (X ∧ Y (n + 1)) _,
refine _ ∘* (smash_susp X (Y n))⁻¹ᵉ*,
refine smash_functor !pid _,
refine susp_pelim (Y n) (Y (n + 1)) _,
exact !glue
end
definition smash_prespectrum_fun {X X' : Type*} {Y Y' : prespectrum} (f : X →* X') (g : Y →ₛ Y') :
smash_prespectrum X Y →ₛ smash_prespectrum X' Y' :=
smap.mk (λn, smash_functor f (g n)) begin
intro n,
refine susp_to_loop_psquare _ _ _ _ _,
refine pvconcat (ptranspose (phinverse (smash_susp_natural f (g n)))) _,
refine vconcat_phomotopy _ (smash_functor_split f (g (S n))),
refine phomotopy_vconcat (smash_functor_split f (susp_functor (g n))) _,
refine phconcat _ _,
let glue_adjoint := susp_pelim (Y' n) (Y' (S n)) (glue Y' n),
exact pid X ∧→ glue_adjoint,
refine smash_functor_psquare (phrefl (pid X)) _,
refine loop_to_susp_square _ _ _ _ _,
exact smap.glue_square g n,
exact smash_functor_psquare (pvrefl f) (phrefl glue_adjoint)
end
/- smash of a spectrum and a type -/
definition smash_spectrum (X : Type*) (Y : spectrum) : spectrum :=
spectrify (smash_prespectrum X Y)
definition smash_spectrum_fun {X X' : Type*} {Y Y' : spectrum} (f : X →* X') (g : Y →ₛ Y') : smash_spectrum X Y →ₛ smash_spectrum X' Y' :=
spectrify_fun (smash_prespectrum_fun f g)
end spectrum
|
341d8370dce722cf733e938cc0fdfbce727c12a8 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/data/multiset/lattice.lean | 6522818600deec2d59841b7f24099c2c4bc7c07e | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 3,977 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import data.multiset.finset_ops
import data.multiset.fold
/-!
# Lattice operations on multisets
-/
namespace multiset
variables {α : Type*}
/-! ### sup -/
section sup
-- can be defined with just `[has_bot α]` where some lemmas hold without requiring `[order_bot α]`
variables [semilattice_sup α] [order_bot α]
/-- Supremum of a multiset: `sup {a, b, c} = a ⊔ b ⊔ c` -/
def sup (s : multiset α) : α := s.fold (⊔) ⊥
@[simp] lemma sup_zero : (0 : multiset α).sup = ⊥ :=
fold_zero _ _
@[simp] lemma sup_cons (a : α) (s : multiset α) :
(a ::ₘ s).sup = a ⊔ s.sup :=
fold_cons_left _ _ _ _
@[simp] lemma sup_singleton {a : α} : ({a} : multiset α).sup = a :=
sup_bot_eq
@[simp] lemma sup_add (s₁ s₂ : multiset α) : (s₁ + s₂).sup = s₁.sup ⊔ s₂.sup :=
eq.trans (by simp [sup]) (fold_add _ _ _ _ _)
lemma sup_le {s : multiset α} {a : α} : s.sup ≤ a ↔ (∀b ∈ s, b ≤ a) :=
multiset.induction_on s (by simp)
(by simp [or_imp_distrib, forall_and_distrib] {contextual := tt})
lemma le_sup {s : multiset α} {a : α} (h : a ∈ s) : a ≤ s.sup :=
sup_le.1 le_rfl _ h
lemma sup_mono {s₁ s₂ : multiset α} (h : s₁ ⊆ s₂) : s₁.sup ≤ s₂.sup :=
sup_le.2 $ assume b hb, le_sup (h hb)
variables [decidable_eq α]
@[simp] lemma sup_dedup (s : multiset α) : (dedup s).sup = s.sup :=
fold_dedup_idem _ _ _
@[simp] lemma sup_ndunion (s₁ s₂ : multiset α) :
(ndunion s₁ s₂).sup = s₁.sup ⊔ s₂.sup :=
by rw [← sup_dedup, dedup_ext.2, sup_dedup, sup_add]; simp
@[simp] lemma sup_union (s₁ s₂ : multiset α) :
(s₁ ∪ s₂).sup = s₁.sup ⊔ s₂.sup :=
by rw [← sup_dedup, dedup_ext.2, sup_dedup, sup_add]; simp
@[simp] lemma sup_ndinsert (a : α) (s : multiset α) :
(ndinsert a s).sup = a ⊔ s.sup :=
by rw [← sup_dedup, dedup_ext.2, sup_dedup, sup_cons]; simp
lemma nodup_sup_iff {α : Type*} [decidable_eq α] {m : multiset (multiset α) } :
m.sup.nodup ↔ ∀ (a : multiset α), a ∈ m → a.nodup :=
begin
apply m.induction_on,
{ simp },
{ intros a s h,
simp [h] }
end
end sup
/-! ### inf -/
section inf
-- can be defined with just `[has_top α]` where some lemmas hold without requiring `[order_top α]`
variables [semilattice_inf α] [order_top α]
/-- Infimum of a multiset: `inf {a, b, c} = a ⊓ b ⊓ c` -/
def inf (s : multiset α) : α := s.fold (⊓) ⊤
@[simp] lemma inf_zero : (0 : multiset α).inf = ⊤ :=
fold_zero _ _
@[simp] lemma inf_cons (a : α) (s : multiset α) :
(a ::ₘ s).inf = a ⊓ s.inf :=
fold_cons_left _ _ _ _
@[simp] lemma inf_singleton {a : α} : ({a} : multiset α).inf = a :=
inf_top_eq
@[simp] lemma inf_add (s₁ s₂ : multiset α) : (s₁ + s₂).inf = s₁.inf ⊓ s₂.inf :=
eq.trans (by simp [inf]) (fold_add _ _ _ _ _)
lemma le_inf {s : multiset α} {a : α} : a ≤ s.inf ↔ (∀b ∈ s, a ≤ b) :=
multiset.induction_on s (by simp)
(by simp [or_imp_distrib, forall_and_distrib] {contextual := tt})
lemma inf_le {s : multiset α} {a : α} (h : a ∈ s) : s.inf ≤ a :=
le_inf.1 le_rfl _ h
lemma inf_mono {s₁ s₂ : multiset α} (h : s₁ ⊆ s₂) : s₂.inf ≤ s₁.inf :=
le_inf.2 $ assume b hb, inf_le (h hb)
variables [decidable_eq α]
@[simp] lemma inf_dedup (s : multiset α) : (dedup s).inf = s.inf :=
fold_dedup_idem _ _ _
@[simp] lemma inf_ndunion (s₁ s₂ : multiset α) :
(ndunion s₁ s₂).inf = s₁.inf ⊓ s₂.inf :=
by rw [← inf_dedup, dedup_ext.2, inf_dedup, inf_add]; simp
@[simp] lemma inf_union (s₁ s₂ : multiset α) :
(s₁ ∪ s₂).inf = s₁.inf ⊓ s₂.inf :=
by rw [← inf_dedup, dedup_ext.2, inf_dedup, inf_add]; simp
@[simp] lemma inf_ndinsert (a : α) (s : multiset α) :
(ndinsert a s).inf = a ⊓ s.inf :=
by rw [← inf_dedup, dedup_ext.2, inf_dedup, inf_cons]; simp
end inf
end multiset
|
e57c2248a5bdb15a1679a48759a2152a6f16a873 | c777c32c8e484e195053731103c5e52af26a25d1 | /src/number_theory/liouville/measure.lean | c7527bdeb75e6df6b5e7bcafd8a3e769ec98c63f | [
"Apache-2.0"
] | permissive | kbuzzard/mathlib | 2ff9e85dfe2a46f4b291927f983afec17e946eb8 | 58537299e922f9c77df76cb613910914a479c1f7 | refs/heads/master | 1,685,313,702,744 | 1,683,974,212,000 | 1,683,974,212,000 | 128,185,277 | 1 | 0 | null | 1,522,920,600,000 | 1,522,920,600,000 | null | UTF-8 | Lean | false | false | 6,160 | lean | /-
Copyright (c) 2021 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import measure_theory.measure.lebesgue
import number_theory.liouville.residual
import number_theory.liouville.liouville_with
import analysis.p_series
/-!
# Volume of the set of Liouville numbers
In this file we prove that the set of Liouville numbers with exponent (irrationality measure)
strictly greater than two is a set of Lebesuge measure zero, see
`volume_Union_set_of_liouville_with`.
Since this set is a residual set, we show that the filters `residual` and `volume.ae` are disjoint.
These filters correspond to two common notions of genericity on `ℝ`: residual sets and sets of full
measure. The fact that the filters are disjoint means that two mutually exclusive properties can be
“generic” at the same time (in the sense of different “genericity” filters).
## Tags
Liouville number, Lebesgue measure, residual, generic property
-/
open_locale filter big_operators ennreal topology nnreal
open filter set metric measure_theory real
lemma set_of_liouville_with_subset_aux :
{x : ℝ | ∃ p > 2, liouville_with p x} ⊆
⋃ m : ℤ, (λ x : ℝ, x + m) ⁻¹' (⋃ n > (0 : ℕ),
{x : ℝ | ∃ᶠ b : ℕ in at_top, ∃ a ∈ finset.Icc (0 : ℤ) b,
|x - (a : ℤ) / b| < 1 / b ^ (2 + 1 / n : ℝ)}) :=
begin
rintro x ⟨p, hp, hxp⟩,
rcases exists_nat_one_div_lt (sub_pos.2 hp) with ⟨n, hn⟩,
rw lt_sub_iff_add_lt' at hn,
suffices : ∀ y : ℝ, liouville_with p y → y ∈ Ico (0 : ℝ) 1 →
∃ᶠ b : ℕ in at_top, ∃ a ∈ finset.Icc (0 : ℤ) b, |y - a / b| < 1 / b ^ (2 + 1 / (n + 1 : ℕ) : ℝ),
{ simp only [mem_Union, mem_preimage],
have hx : x + ↑(-⌊x⌋) ∈ Ico (0 : ℝ) 1,
{ simp only [int.floor_le, int.lt_floor_add_one, add_neg_lt_iff_le_add', zero_add, and_self,
mem_Ico, int.cast_neg, le_add_neg_iff_add_le] },
refine ⟨-⌊x⌋, n + 1, n.succ_pos, this _ (hxp.add_int _) hx⟩ },
clear hxp x, intros x hxp hx01,
refine ((hxp.frequently_lt_rpow_neg hn).and_eventually (eventually_ge_at_top 1)).mono _,
rintro b ⟨⟨a, hne, hlt⟩, hb⟩,
rw [rpow_neg b.cast_nonneg, ← one_div, ← nat.cast_succ] at hlt,
refine ⟨a, _, hlt⟩,
replace hb : (1 : ℝ) ≤ b, from nat.one_le_cast.2 hb,
have hb0 : (0 : ℝ) < b := zero_lt_one.trans_le hb,
replace hlt : |x - a / b| < 1 / b,
{ refine hlt.trans_le (one_div_le_one_div_of_le hb0 _),
calc (b : ℝ) = b ^ (1 : ℝ) : (rpow_one _).symm
... ≤ b ^ (2 + 1 / (n + 1 : ℕ) : ℝ) : rpow_le_rpow_of_exponent_le hb (one_le_two.trans _),
simpa using n.cast_add_one_pos.le },
rw [sub_div' _ _ _ hb0.ne', abs_div, abs_of_pos hb0, div_lt_div_right hb0,
abs_sub_lt_iff, sub_lt_iff_lt_add, sub_lt_iff_lt_add, ← sub_lt_iff_lt_add'] at hlt,
rw [finset.mem_Icc, ← int.lt_add_one_iff, ← int.lt_add_one_iff, ← neg_lt_iff_pos_add, add_comm,
← @int.cast_lt ℝ, ← @int.cast_lt ℝ], push_cast,
refine ⟨lt_of_le_of_lt _ hlt.1, hlt.2.trans_le _⟩,
{ simp only [mul_nonneg hx01.left b.cast_nonneg, neg_le_sub_iff_le_add, le_add_iff_nonneg_left] },
{ rw [add_le_add_iff_left],
calc x * b ≤ 1 * b : mul_le_mul_of_nonneg_right hx01.2.le hb0.le
... = b : one_mul b }
end
/-- The set of numbers satisfying the Liouville condition with some exponent `p > 2` has Lebesgue
measure zero. -/
@[simp] lemma volume_Union_set_of_liouville_with :
volume (⋃ (p : ℝ) (hp : 2 < p), {x : ℝ | liouville_with p x}) = 0 :=
begin
simp only [← set_of_exists],
refine measure_mono_null set_of_liouville_with_subset_aux _,
rw measure_Union_null_iff, intro m, rw measure_preimage_add_right, clear m,
refine (measure_bUnion_null_iff $ to_countable _).2 (λ n (hn : 1 ≤ n), _),
generalize hr : (2 + 1 / n : ℝ) = r,
replace hr : 2 < r, by simp [← hr, zero_lt_one.trans_le hn], clear hn n,
refine measure_set_of_frequently_eq_zero _,
simp only [set_of_exists, ← real.dist_eq, ← mem_ball, set_of_mem_eq],
set B : ℤ → ℕ → set ℝ := λ a b, ball (a / b) (1 / b ^ r),
have hB : ∀ a b, volume (B a b) = ↑(2 / b ^ r : ℝ≥0),
{ intros a b,
rw [real.volume_ball, mul_one_div, ← nnreal.coe_two, ← nnreal.coe_nat_cast, ← nnreal.coe_rpow,
← nnreal.coe_div, ennreal.of_real_coe_nnreal] },
have : ∀ b : ℕ, volume (⋃ a ∈ finset.Icc (0 : ℤ) b, B a b) ≤ (2 * (b ^ (1 - r) + b ^ (-r)) : ℝ≥0),
{ intro b,
calc volume (⋃ a ∈ finset.Icc (0 : ℤ) b, B a b)
≤ ∑ a in finset.Icc (0 : ℤ) b, volume (B a b) : measure_bUnion_finset_le _ _
... = ((b + 1) * (2 / b ^ r) : ℝ≥0) :
by simp only [hB, int.card_Icc, finset.sum_const, nsmul_eq_mul, sub_zero,
← int.coe_nat_succ, int.to_nat_coe_nat, ← nat.cast_succ, ennreal.coe_mul, ennreal.coe_nat]
... = _ : _,
have : 1 - r ≠ 0, by linarith,
rw [ennreal.coe_eq_coe],
simp [add_mul, div_eq_mul_inv, nnreal.rpow_neg, nnreal.rpow_sub' _ this, mul_add,
mul_left_comm] },
refine ne_top_of_le_ne_top (ennreal.tsum_coe_ne_top_iff_summable.2 _)
(ennreal.tsum_le_tsum this),
refine (summable.add _ _).mul_left _; simp only [nnreal.summable_rpow]; linarith
end
lemma ae_not_liouville_with : ∀ᵐ x, ∀ p > (2 : ℝ), ¬liouville_with p x :=
by simpa only [ae_iff, not_forall, not_not, set_of_exists]
using volume_Union_set_of_liouville_with
lemma ae_not_liouville : ∀ᵐ x, ¬liouville x :=
ae_not_liouville_with.mono $ λ x h₁ h₂, h₁ 3 (by norm_num) (h₂.liouville_with 3)
/-- The set of Liouville numbers has Lebesgue measure zero. -/
@[simp] lemma volume_set_of_liouville : volume {x : ℝ | liouville x} = 0 :=
by simpa only [ae_iff, not_not] using ae_not_liouville
/-- The filters `residual ℝ` and `volume.ae` are disjoint. This means that there exists a residual
set of Lebesgue measure zero (e.g., the set of Liouville numbers). -/
lemma real.disjoint_residual_ae : disjoint (residual ℝ) volume.ae :=
disjoint_of_disjoint_of_mem disjoint_compl_right eventually_residual_liouville ae_not_liouville
|
d6a29196d1dfc38588d729e48a863936d9336d96 | 3dd1b66af77106badae6edb1c4dea91a146ead30 | /tests/lean/run/e16.lean | 2484963ec697a82a81b851e91698911ea0fd6120 | [
"Apache-2.0"
] | permissive | silky/lean | 79c20c15c93feef47bb659a2cc139b26f3614642 | df8b88dca2f8da1a422cb618cd476ef5be730546 | refs/heads/master | 1,610,737,587,697 | 1,406,574,534,000 | 1,406,574,534,000 | 22,362,176 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 565 | lean | inductive nat : Type :=
| zero : nat
| succ : nat → nat
inductive list (A : Type) : Type :=
| nil {} : list A
| cons : A → list A → list A
check nil
check nil.{1}
check @nil.{1} nat
check @nil nat
check cons zero nil
inductive vector (A : Type) : nat → Type :=
| vnil {} : vector A zero
| vcons : forall {n : nat}, A → vector A n → vector A (succ n)
check vcons zero vnil
variable n : nat
check vcons n vnil
check vector_rec
definition vector_to_list {A : Type} {n : nat} (v : vector A n) : list A
:= vector_rec nil (fun n a v l, cons a l) v
|
99f9f33cc55564882ee12d979f4e2cde425f5de9 | f20db13587f4dd28a4b1fbd31953afd491691fa0 | /library/data/bitvec.lean | f06a4337d6b3a5d4fd9cd492f2d44b88917e0000 | [
"Apache-2.0"
] | permissive | AHartNtkn/lean | 9a971edfc6857c63edcbf96bea6841b9a84cf916 | 0d83a74b26541421fc1aa33044c35b03759710ed | refs/heads/master | 1,620,592,591,236 | 1,516,749,881,000 | 1,516,749,881,000 | 118,697,288 | 1 | 0 | null | 1,516,759,470,000 | 1,516,759,470,000 | null | UTF-8 | Lean | false | false | 6,697 | lean | /-
Copyright (c) 2015 Joe Hendrix. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joe Hendrix, Sebastian Ullrich
Basic operations on bitvectors.
This is a work-in-progress, and contains additions to other theories.
-/
import data.vector
@[reducible] def bitvec (n : ℕ) := vector bool n
namespace bitvec
open nat
open vector
local infix `++ₜ`:65 := vector.append
-- Create a zero bitvector
@[reducible] protected def zero (n : ℕ) : bitvec n := repeat ff n
-- Create a bitvector with the constant one.
@[reducible] protected def one : Π (n : ℕ), bitvec n
| 0 := nil
| (succ n) := repeat ff n ++ₜ tt::nil
protected def cong {a b : ℕ} (h : a = b) : bitvec a → bitvec b
| ⟨x, p⟩ := ⟨x, h ▸ p⟩
-- bitvec specific version of vector.append
def append {m n} : bitvec m → bitvec n → bitvec (m + n) := vector.append
section shift
variable {n : ℕ}
def shl (x : bitvec n) (i : ℕ) : bitvec n :=
bitvec.cong (by simp) $
drop i x ++ₜ repeat ff (min n i)
def fill_shr (x : bitvec n) (i : ℕ) (fill : bool) : bitvec n :=
bitvec.cong
begin
by_cases (i ≤ n),
{ have h₁ := sub_le n i,
rw [min_eq_right h], rw [min_eq_left h₁, ← nat.add_sub_assoc h, add_comm, nat.add_sub_cancel] },
{ have h₁ := le_of_not_ge h,
rw [min_eq_left h₁, sub_eq_zero_of_le h₁, zero_min, add_zero] }
end $
repeat fill (min n i) ++ₜ take (n-i) x
-- unsigned shift right
def ushr (x : bitvec n) (i : ℕ) : bitvec n :=
fill_shr x i ff
-- signed shift right
def sshr : Π {m : ℕ}, bitvec m → ℕ → bitvec m
| 0 _ _ := nil
| (succ m) x i := head x :: fill_shr (tail x) i (head x)
end shift
section bitwise
variable {n : ℕ}
def not : bitvec n → bitvec n := map bnot
def and : bitvec n → bitvec n → bitvec n := map₂ band
def or : bitvec n → bitvec n → bitvec n := map₂ bor
def xor : bitvec n → bitvec n → bitvec n := map₂ bxor
end bitwise
section arith
variable {n : ℕ}
protected def xor3 (x y c : bool) := bxor (bxor x y) c
protected def carry (x y c : bool) :=
x && y || x && c || y && c
protected def neg (x : bitvec n) : bitvec n :=
let f := λ y c, (y || c, bxor y c) in
prod.snd (map_accumr f x ff)
-- Add with carry (no overflow)
def adc (x y : bitvec n) (c : bool) : bitvec (n+1) :=
let f := λ x y c, (bitvec.carry x y c, bitvec.xor3 x y c) in
let ⟨c, z⟩ := vector.map_accumr₂ f x y c in
c :: z
protected def add (x y : bitvec n) : bitvec n := tail (adc x y ff)
-- Subtract with borrow
def sbb (x y : bitvec n) (b : bool) : bool × bitvec n :=
let f := λ x y c, (bitvec.carry (bnot x) y c, bitvec.xor3 x y c) in
vector.map_accumr₂ f x y b
protected def sub (x y : bitvec n) : bitvec n := prod.snd (sbb x y ff)
instance : has_zero (bitvec n) := ⟨bitvec.zero n⟩
instance : has_one (bitvec n) := ⟨bitvec.one n⟩
instance : has_add (bitvec n) := ⟨bitvec.add⟩
instance : has_sub (bitvec n) := ⟨bitvec.sub⟩
instance : has_neg (bitvec n) := ⟨bitvec.neg⟩
protected def mul (x y : bitvec n) : bitvec n :=
let f := λ r b, cond b (r + r + y) (r + r) in
(to_list x).foldl f 0
instance : has_mul (bitvec n) := ⟨bitvec.mul⟩
end arith
section comparison
variable {n : ℕ}
def uborrow (x y : bitvec n) : bool := prod.fst (sbb x y ff)
def ult (x y : bitvec n) : Prop := uborrow x y
def ugt (x y : bitvec n) : Prop := ult y x
def ule (x y : bitvec n) : Prop := ¬ (ult y x)
def uge (x y : bitvec n) : Prop := ule y x
def sborrow : Π {n : ℕ}, bitvec n → bitvec n → bool
| 0 _ _ := ff
| (succ n) x y :=
match (head x, head y) with
| (tt, ff) := tt
| (ff, tt) := ff
| _ := uborrow (tail x) (tail y)
end
def slt (x y : bitvec n) : Prop := sborrow x y
def sgt (x y : bitvec n) : Prop := slt y x
def sle (x y : bitvec n) : Prop := ¬ (slt y x)
def sge (x y : bitvec n) : Prop := sle y x
end comparison
section conversion
variable {α : Type}
protected def of_nat : Π (n : ℕ), nat → bitvec n
| 0 x := nil
| (succ n) x := of_nat n (x / 2) ++ₜ to_bool (x % 2 = 1) :: nil
protected def of_int : Π (n : ℕ), int → bitvec (succ n)
| n (int.of_nat m) := ff :: bitvec.of_nat n m
| n (int.neg_succ_of_nat m) := tt :: not (bitvec.of_nat n m)
def add_lsb (r : ℕ) (b : bool) := r + r + cond b 1 0
def bits_to_nat (v : list bool) : nat :=
v.foldl add_lsb 0
protected def to_nat {n : nat} (v : bitvec n) : nat :=
bits_to_nat (to_list v)
theorem bits_to_nat_to_list {n : ℕ} (x : bitvec n)
: bitvec.to_nat x = bits_to_nat (vector.to_list x) := rfl
local attribute [simp] add_comm add_assoc add_left_comm mul_comm mul_assoc mul_left_comm
theorem to_nat_append {m : ℕ} (xs : bitvec m) (b : bool)
: bitvec.to_nat (xs ++ₜ b::nil) = bitvec.to_nat xs * 2 + bitvec.to_nat (b::nil) :=
begin
cases xs with xs P,
simp [bits_to_nat_to_list], clear P,
unfold bits_to_nat list.foldl,
-- generalize the accumulator of foldl
generalize h : 0 = x, conv in (add_lsb x b) { rw ←h }, clear h,
simp,
induction xs with x xs generalizing x,
{ simp, unfold list.foldl add_lsb, simp [nat.mul_succ] },
{ simp, apply xs_ih }
end
theorem bits_to_nat_to_bool (n : ℕ)
: bitvec.to_nat (to_bool (n % 2 = 1) :: nil) = n % 2 :=
begin
simp [bits_to_nat_to_list],
unfold bits_to_nat add_lsb list.foldl cond,
simp [cond_to_bool_mod_two],
end
theorem of_nat_succ {k n : ℕ}
: bitvec.of_nat (succ k) n = bitvec.of_nat k (n / 2) ++ₜ to_bool (n % 2 = 1) :: nil :=
rfl
theorem to_nat_of_nat {k n : ℕ}
: bitvec.to_nat (bitvec.of_nat k n) = n % 2^k :=
begin
induction k with k generalizing n,
{ unfold pow, simp [nat.mod_one], refl },
{ have h : 0 < 2, { apply le_succ },
rw [ of_nat_succ
, to_nat_append
, k_ih
, bits_to_nat_to_bool
, mod_pow_succ h],
ac_refl, }
end
protected def to_int : Π {n : nat}, bitvec n → int
| 0 _ := 0
| (succ n) v :=
cond (head v)
(int.neg_succ_of_nat $ bitvec.to_nat $ not $ tail v)
(int.of_nat $ bitvec.to_nat $ tail v)
end conversion
private def repr {n : nat} : bitvec n → string
| ⟨bs, p⟩ :=
"0b" ++ (bs.map (λ b : bool, if b then '1' else '0')).as_string
instance (n : nat) : has_repr (bitvec n) :=
⟨repr⟩
end bitvec
instance {n} {x y : bitvec n} : decidable (bitvec.ult x y) := bool.decidable_eq _ _
instance {n} {x y : bitvec n} : decidable (bitvec.ugt x y) := bool.decidable_eq _ _
|
df1f4cdea946b5b0eb23d17067f021ddd858d9c3 | 367134ba5a65885e863bdc4507601606690974c1 | /src/control/monad/writer.lean | 2e287dcb512cac84abbfd13863c70475706626e6 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 7,926 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon
The writer monad transformer for passing immutable state.
-/
import control.monad.basic
import algebra.group.basic
universes u v w u₀ u₁ v₀ v₁
structure writer_t (ω : Type u) (m : Type u → Type v) (α : Type u) : Type (max u v) :=
(run : m (α × ω))
@[reducible] def writer (ω : Type u) := writer_t ω id
attribute [pp_using_anonymous_constructor] writer_t
namespace writer_t
section
variable {ω : Type u}
variable {m : Type u → Type v}
variable [monad m]
variables {α β : Type u}
open function
@[ext]
protected lemma ext (x x' : writer_t ω m α)
(h : x.run = x'.run) :
x = x' := by cases x; cases x'; congr; apply h
@[inline] protected def tell (w : ω) : writer_t ω m punit :=
⟨pure (punit.star, w)⟩
@[inline] protected def listen : writer_t ω m α → writer_t ω m (α × ω)
| ⟨ cmd ⟩ := ⟨ (λ x : α × ω, ((x.1,x.2),x.2)) <$> cmd ⟩
@[inline] protected def pass : writer_t ω m (α × (ω → ω)) → writer_t ω m α
| ⟨ cmd ⟩ := ⟨ uncurry (uncurry $ λ x (f : ω → ω) w, (x,f w)) <$> cmd ⟩
@[inline] protected def pure [has_one ω] (a : α) : writer_t ω m α :=
⟨ pure (a,1) ⟩
@[inline] protected def bind [has_mul ω] (x : writer_t ω m α) (f : α → writer_t ω m β) :
writer_t ω m β :=
⟨ do x ← x.run,
x' ← (f x.1).run,
pure (x'.1,x.2 * x'.2) ⟩
instance [has_one ω] [has_mul ω] : monad (writer_t ω m) :=
{ pure := λ α, writer_t.pure, bind := λ α β, writer_t.bind }
instance [monoid ω] [is_lawful_monad m] : is_lawful_monad (writer_t ω m) :=
{ id_map := by { intros, cases x, simp [(<$>),writer_t.bind,writer_t.pure] },
pure_bind := by { intros, simp [has_pure.pure,writer_t.pure,(>>=),writer_t.bind], ext; refl },
bind_assoc := by { intros, simp [(>>=),writer_t.bind,mul_assoc] with functor_norm } }
@[inline] protected def lift [has_one ω] (a : m α) : writer_t ω m α :=
⟨ flip prod.mk 1 <$> a ⟩
instance (m) [monad m] [has_one ω] : has_monad_lift m (writer_t ω m) :=
⟨ λ α, writer_t.lift ⟩
@[inline] protected def monad_map {m m'} [monad m] [monad m'] {α} (f : Π {α}, m α → m' α) :
writer_t ω m α → writer_t ω m' α :=
λ x, ⟨ f x.run ⟩
instance (m m') [monad m] [monad m'] : monad_functor m m' (writer_t ω m) (writer_t ω m') :=
⟨@writer_t.monad_map ω m m' _ _⟩
@[inline] protected def adapt {ω' : Type u} {α : Type u} (f : ω → ω') :
writer_t ω m α → writer_t ω' m α :=
λ x, ⟨prod.map id f <$> x.run⟩
instance (ε) [has_one ω] [monad m] [monad_except ε m] : monad_except ε (writer_t ω m) :=
{ throw := λ α, writer_t.lift ∘ throw,
catch := λ α x c, ⟨catch x.run (λ e, (c e).run)⟩ }
end
end writer_t
/--
An implementation of [MonadReader](
https://hackage.haskell.org/package/mtl-2.2.2/docs/Control-Monad-Reader-Class.html#t:MonadReader).
It does not contain `local` because this function cannot be lifted using `monad_lift`.
Instead, the `monad_reader_adapter` class provides the more general `adapt_reader` function.
Note: This class can be seen as a simplification of the more "principled" definition
```
class monad_reader (ρ : out_param (Type u)) (n : Type u → Type u) :=
(lift {α : Type u} : (∀ {m : Type u → Type u} [monad m], reader_t ρ m α) → n α)
```
-/
class monad_writer (ω : out_param (Type u)) (m : Type u → Type v) :=
(tell (w : ω) : m punit)
(listen {α} : m α → m (α × ω))
(pass {α : Type u} : m (α × (ω → ω)) → m α)
export monad_writer
instance {ω : Type u} {m : Type u → Type v} [monad m] : monad_writer ω (writer_t ω m) :=
{ tell := writer_t.tell,
listen := λ α, writer_t.listen,
pass := λ α, writer_t.pass }
instance {ω ρ : Type u} {m : Type u → Type v} [monad m] [monad_writer ω m] :
monad_writer ω (reader_t ρ m) :=
{ tell := λ x, monad_lift (tell x : m punit),
listen := λ α ⟨ cmd ⟩, ⟨ λ r, listen (cmd r) ⟩,
pass := λ α ⟨ cmd ⟩, ⟨ λ r, pass (cmd r) ⟩ }
def swap_right {α β γ} : (α × β) × γ → (α × γ) × β
| ⟨⟨x,y⟩,z⟩ := ((x,z),y)
instance {ω σ : Type u} {m : Type u → Type v} [monad m] [monad_writer ω m] :
monad_writer ω (state_t σ m) :=
{ tell := λ x, monad_lift (tell x : m punit),
listen := λ α ⟨ cmd ⟩, ⟨ λ r, swap_right <$> listen (cmd r) ⟩,
pass := λ α ⟨ cmd ⟩, ⟨ λ r, pass (swap_right <$> cmd r) ⟩ }
open function
def except_t.pass_aux {ε α ω} : except ε (α × (ω → ω)) → except ε α × (ω → ω)
| (except.error a) := (except.error a,id)
| (except.ok (x,y)) := (except.ok x,y)
instance {ω ε : Type u} {m : Type u → Type v} [monad m] [monad_writer ω m] :
monad_writer ω (except_t ε m) :=
{ tell := λ x, monad_lift (tell x : m punit),
listen := λ α ⟨ cmd ⟩, ⟨ uncurry (λ x y, flip prod.mk y <$> x) <$> listen cmd ⟩,
pass := λ α ⟨ cmd ⟩, ⟨ pass (except_t.pass_aux <$> cmd) ⟩ }
def option_t.pass_aux {α ω} : option (α × (ω → ω)) → option α × (ω → ω)
| none := (none ,id)
| (some (x,y)) := (some x,y)
instance {ω : Type u} {m : Type u → Type v} [monad m] [monad_writer ω m] :
monad_writer ω (option_t m) :=
{ tell := λ x, monad_lift (tell x : m punit),
listen := λ α ⟨ cmd ⟩, ⟨ uncurry (λ x y, flip prod.mk y <$> x) <$> listen cmd ⟩,
pass := λ α ⟨ cmd ⟩, ⟨ pass (option_t.pass_aux <$> cmd) ⟩ }
/-- Adapt a monad stack, changing the type of its top-most environment.
This class is comparable to
[Control.Lens.Magnify](https://hackage.haskell.org/package/lens-4.15.4/docs/Control-Lens-Zoom.html#t:Magnify),
but does not use lenses (why would it), and is derived automatically for any transformer
implementing `monad_functor`.
Note: This class can be seen as a simplification of the more "principled" definition
```
class monad_reader_functor (ρ ρ' : out_param (Type u)) (n n' : Type u → Type u) :=
(map {α : Type u} : (∀ {m : Type u → Type u} [monad m], reader_t ρ m α → reader_t ρ' m α) → n α → n' α)
```
-/
class monad_writer_adapter (ω ω' : out_param (Type u)) (m m' : Type u → Type v) :=
(adapt_writer {α : Type u} : (ω → ω') → m α → m' α)
export monad_writer_adapter (adapt_writer)
section
variables {ω ω' : Type u} {m m' : Type u → Type v}
/-- Transitivity.
This instance generates the type-class problem with a metavariable argument (which is why this
is marked as `[nolint dangerous_instance]`).
Currently that is not a problem, as there are almost no instances of `monad_functor` or
`monad_writer_adapter`.
see Note [lower instance priority] -/
@[nolint dangerous_instance, priority 100]
instance monad_writer_adapter_trans {n n' : Type u → Type v} [monad_writer_adapter ω ω' m m']
[monad_functor m m' n n'] : monad_writer_adapter ω ω' n n' :=
⟨λ α f, monad_map (λ α, (adapt_writer f : m α → m' α))⟩
instance [monad m] : monad_writer_adapter ω ω' (writer_t ω m) (writer_t ω' m) :=
⟨λ α, writer_t.adapt⟩
end
instance (ω : Type u) (m out) [monad_run out m] : monad_run (λ α, out (α × ω)) (writer_t ω m) :=
⟨λ α x, run $ x.run ⟩
/-- reduce the equivalence between two writer monads to the equivalence between
their underlying monad -/
def writer_t.equiv {m₁ : Type u₀ → Type v₀} {m₂ : Type u₁ → Type v₁}
{α₁ ω₁ : Type u₀} {α₂ ω₂ : Type u₁} (F : (m₁ (α₁ × ω₁)) ≃ (m₂ (α₂ × ω₂))) :
writer_t ω₁ m₁ α₁ ≃ writer_t ω₂ m₂ α₂ :=
{ to_fun := λ ⟨f⟩, ⟨F f⟩,
inv_fun := λ ⟨f⟩, ⟨F.symm f⟩,
left_inv := λ ⟨f⟩, congr_arg writer_t.mk $ F.left_inv _,
right_inv := λ ⟨f⟩, congr_arg writer_t.mk $ F.right_inv _ }
|
cc3d43f344897be4bf04a08570ab2170b2edfaa1 | 55c7fc2bf55d496ace18cd6f3376e12bb14c8cc5 | /src/category_theory/closed/cartesian.lean | eed6ddc1b4933ba7cc97eb34058477b1bfee6d1f | [
"Apache-2.0"
] | permissive | dupuisf/mathlib | 62de4ec6544bf3b79086afd27b6529acfaf2c1bb | 8582b06b0a5d06c33ee07d0bdf7c646cae22cf36 | refs/heads/master | 1,669,494,854,016 | 1,595,692,409,000 | 1,595,692,409,000 | 272,046,630 | 0 | 0 | Apache-2.0 | 1,592,066,143,000 | 1,592,066,142,000 | null | UTF-8 | Lean | false | false | 16,083 | lean | /-
Copyright (c) 2020 Bhavik Mehta, Edward Ayers, Thomas Read. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta, Edward Ayers, Thomas Read
-/
import category_theory.limits.shapes.finite_products
import category_theory.limits.shapes.constructions.preserve_binary_products
import category_theory.closed.monoidal
import category_theory.monoidal.of_has_finite_products
import category_theory.adjunction
import category_theory.epi_mono
/-!
# Cartesian closed categories
Given a category with finite products, the cartesian monoidal structure is provided by the local
instance `monoidal_of_has_finite_products`.
We define exponentiable objects to be closed objects with respect to this monoidal structure,
i.e. `(X × -)` is a left adjoint.
We say a category is cartesian closed if every object is exponentiable
(equivalently, that the category equipped with the cartesian monoidal structure is closed monoidal).
Show that exponential forms a difunctor and define the exponential comparison morphisms.
## TODO
Some of the results here are true more generally for closed objects and
for closed monoidal categories, and these could be generalised.
-/
universes v u u₂
namespace category_theory
open category_theory category_theory.category category_theory.limits
local attribute [instance] monoidal_of_has_finite_products
/--
An object `X` is *exponentiable* if `(X × -)` is a left adjoint.
We define this as being `closed` in the cartesian monoidal structure.
-/
abbreviation exponentiable {C : Type u} [category.{v} C] [has_finite_products C] (X : C) :=
closed X
/--
If `X` and `Y` are exponentiable then `X ⨯ Y` is.
This isn't an instance because it's not usually how we want to construct exponentials, we'll usually
prove all objects are exponential uniformly.
-/
def binary_product_exponentiable {C : Type u} [category.{v} C] [has_finite_products C] {X Y : C}
(hX : exponentiable X) (hY : exponentiable Y) : exponentiable (X ⨯ Y) :=
{ is_adj :=
begin
haveI := hX.is_adj,
haveI := hY.is_adj,
exact adjunction.left_adjoint_of_nat_iso (monoidal_category.tensor_left_tensor _ _).symm
end }
/--
The terminal object is always exponentiable.
This isn't an instance because most of the time we'll prove cartesian closed for all objects
at once, rather than just for this one.
-/
def terminal_exponentiable {C : Type u} [category.{v} C] [has_finite_products C] :
exponentiable ⊤_C :=
unit_closed
/--
A category `C` is cartesian closed if it has finite products and every object is exponentiable.
We define this as `monoidal_closed` with respect to the cartesian monoidal structure.
-/
abbreviation cartesian_closed (C : Type u) [category.{v} C] [has_finite_products C] :=
monoidal_closed C
variables {C : Type u} [category.{v} C] (A B : C) {X X' Y Y' Z : C}
section exp
variables [has_finite_products C] [exponentiable A]
/-- This is (-)^A. -/
def exp : C ⥤ C :=
(@closed.is_adj _ _ _ A _).right
/-- The adjunction between A ⨯ - and (-)^A. -/
def exp.adjunction : prod_functor.obj A ⊣ exp A :=
closed.is_adj.adj
/-- The evaluation natural transformation. -/
def ev : exp A ⋙ prod_functor.obj A ⟶ 𝟭 C :=
closed.is_adj.adj.counit
/-- The coevaluation natural transformation. -/
def coev : 𝟭 C ⟶ prod_functor.obj A ⋙ exp A :=
closed.is_adj.adj.unit
notation A ` ⟹ `:20 B:20 := (exp A).obj B
notation B ` ^^ `:30 A:30 := (exp A).obj B
@[simp, reassoc] lemma ev_coev :
limits.prod.map (𝟙 A) ((coev A).app B) ≫ (ev A).app (A ⨯ B) = 𝟙 (A ⨯ B) :=
adjunction.left_triangle_components (exp.adjunction A)
@[simp, reassoc] lemma coev_ev : (coev A).app (A⟹B) ≫ (exp A).map ((ev A).app B) = 𝟙 (A⟹B) :=
adjunction.right_triangle_components (exp.adjunction A)
end exp
variables {A}
-- Wrap these in a namespace so we don't clash with the core versions.
namespace cartesian_closed
variables [has_finite_products C] [exponentiable A]
/-- Currying in a cartesian closed category. -/
def curry : (A ⨯ Y ⟶ X) → (Y ⟶ A ⟹ X) :=
(closed.is_adj.adj.hom_equiv _ _).to_fun
/-- Uncurrying in a cartesian closed category. -/
def uncurry : (Y ⟶ A ⟹ X) → (A ⨯ Y ⟶ X) :=
(closed.is_adj.adj.hom_equiv _ _).inv_fun
end cartesian_closed
open cartesian_closed
variables [has_finite_products C] [exponentiable A]
@[reassoc]
lemma curry_natural_left (f : X ⟶ X') (g : A ⨯ X' ⟶ Y) :
curry (limits.prod.map (𝟙 _) f ≫ g) = f ≫ curry g :=
adjunction.hom_equiv_naturality_left _ _ _
@[reassoc]
lemma curry_natural_right (f : A ⨯ X ⟶ Y) (g : Y ⟶ Y') :
curry (f ≫ g) = curry f ≫ (exp _).map g :=
adjunction.hom_equiv_naturality_right _ _ _
@[reassoc]
lemma uncurry_natural_right (f : X ⟶ A⟹Y) (g : Y ⟶ Y') :
uncurry (f ≫ (exp _).map g) = uncurry f ≫ g :=
adjunction.hom_equiv_naturality_right_symm _ _ _
@[reassoc]
lemma uncurry_natural_left (f : X ⟶ X') (g : X' ⟶ A⟹Y) :
uncurry (f ≫ g) = limits.prod.map (𝟙 _) f ≫ uncurry g :=
adjunction.hom_equiv_naturality_left_symm _ _ _
@[simp]
lemma uncurry_curry (f : A ⨯ X ⟶ Y) : uncurry (curry f) = f :=
(closed.is_adj.adj.hom_equiv _ _).left_inv f
@[simp]
lemma curry_uncurry (f : X ⟶ A⟹Y) : curry (uncurry f) = f :=
(closed.is_adj.adj.hom_equiv _ _).right_inv f
lemma curry_eq_iff (f : A ⨯ Y ⟶ X) (g : Y ⟶ A ⟹ X) :
curry f = g ↔ f = uncurry g :=
adjunction.hom_equiv_apply_eq _ f g
lemma eq_curry_iff (f : A ⨯ Y ⟶ X) (g : Y ⟶ A ⟹ X) :
g = curry f ↔ uncurry g = f :=
adjunction.eq_hom_equiv_apply _ f g
-- I don't think these two should be simp.
lemma uncurry_eq (g : Y ⟶ A ⟹ X) : uncurry g = limits.prod.map (𝟙 A) g ≫ (ev A).app X :=
adjunction.hom_equiv_counit _
lemma curry_eq (g : A ⨯ Y ⟶ X) : curry g = (coev A).app Y ≫ (exp A).map g :=
adjunction.hom_equiv_unit _
lemma uncurry_id_eq_ev (A X : C) [exponentiable A] : uncurry (𝟙 (A ⟹ X)) = (ev A).app X :=
by rw [uncurry_eq, prod_map_id_id, id_comp]
lemma curry_id_eq_coev (A X : C) [exponentiable A] : curry (𝟙 _) = (coev A).app X :=
by { rw [curry_eq, (exp A).map_id (A ⨯ _)], apply comp_id }
lemma curry_injective : function.injective (curry : (A ⨯ Y ⟶ X) → (Y ⟶ A ⟹ X)) :=
(closed.is_adj.adj.hom_equiv _ _).injective
lemma uncurry_injective : function.injective (uncurry : (Y ⟶ A ⟹ X) → (A ⨯ Y ⟶ X)) :=
(closed.is_adj.adj.hom_equiv _ _).symm.injective
/--
Show that the exponential of the terminal object is isomorphic to itself, i.e. `X^1 ≅ X`.
The typeclass argument is explicit: any instance can be used.
-/
def exp_terminal_iso_self [exponentiable ⊤_C] : (⊤_C ⟹ X) ≅ X :=
yoneda.ext (⊤_ C ⟹ X) X
(λ Y f, (prod.left_unitor Y).inv ≫ uncurry f)
(λ Y f, curry ((prod.left_unitor Y).hom ≫ f))
(λ Z g, by rw [curry_eq_iff, iso.hom_inv_id_assoc] )
(λ Z g, by simp)
(λ Z W f g, by rw [uncurry_natural_left, prod_left_unitor_inv_naturality_assoc f] )
/-- The internal element which points at the given morphism. -/
def internalize_hom (f : A ⟶ Y) : ⊤_C ⟶ (A ⟹ Y) :=
curry (limits.prod.fst ≫ f)
section pre
variables {B}
/-- Pre-compose an internal hom with an external hom. -/
def pre (X : C) (f : B ⟶ A) [exponentiable B] : (A⟹X) ⟶ B⟹X :=
curry (limits.prod.map f (𝟙 _) ≫ (ev A).app X)
lemma pre_id (A X : C) [exponentiable A] : pre X (𝟙 A) = 𝟙 (A⟹X) :=
by { rw [pre, prod_map_id_id, id_comp, ← uncurry_id_eq_ev], simp }
-- There's probably a better proof of this somehow
/-- Precomposition is contrafunctorial. -/
lemma pre_map [exponentiable B] {D : C} [exponentiable D] (f : A ⟶ B) (g : B ⟶ D) :
pre X (f ≫ g) = pre X g ≫ pre X f :=
begin
rw [pre, curry_eq_iff, pre, pre, uncurry_natural_left, uncurry_curry, prod_map_map_assoc,
prod_map_comp_id, assoc, ← uncurry_id_eq_ev, ← uncurry_id_eq_ev, ← uncurry_natural_left,
curry_natural_right, comp_id, uncurry_natural_right, uncurry_curry],
end
end pre
lemma pre_post_comm [cartesian_closed C] {A B : C} {X Y : Cᵒᵖ} (f : A ⟶ B) (g : X ⟶ Y) :
pre A g.unop ≫ (exp Y.unop).map f = (exp X.unop).map f ≫ pre B g.unop :=
begin
erw [← curry_natural_left, eq_curry_iff, uncurry_natural_right, uncurry_curry, prod_map_map_assoc,
(ev _).naturality, assoc], refl
end
/-- The internal hom functor given by the cartesian closed structure. -/
def internal_hom [cartesian_closed C] : C ⥤ Cᵒᵖ ⥤ C :=
{ obj := λ X,
{ obj := λ Y, Y.unop ⟹ X,
map := λ Y Y' f, pre _ f.unop,
map_id' := λ Y, pre_id _ _,
map_comp' := λ Y Y' Y'' f g, pre_map _ _ },
map := λ A B f, { app := λ X, (exp X.unop).map f, naturality' := λ X Y g, pre_post_comm _ _ },
map_id' := λ X, by { ext, apply functor.map_id },
map_comp' := λ X Y Z f g, by { ext, apply functor.map_comp } }
/-- If an initial object `0` exists in a CCC, then `A ⨯ 0 ≅ 0`. -/
@[simps]
def zero_mul [has_initial C] : A ⨯ ⊥_ C ≅ ⊥_ C :=
{ hom := limits.prod.snd,
inv := default (⊥_ C ⟶ A ⨯ ⊥_ C),
hom_inv_id' :=
begin
have: (limits.prod.snd : A ⨯ ⊥_ C ⟶ ⊥_ C) = uncurry (default _),
rw ← curry_eq_iff,
apply subsingleton.elim,
rw [this, ← uncurry_natural_right, ← eq_curry_iff],
apply subsingleton.elim
end,
}
/-- If an initial object `0` exists in a CCC, then `0 ⨯ A ≅ 0`. -/
def mul_zero [has_initial C] : ⊥_ C ⨯ A ≅ ⊥_ C :=
limits.prod.braiding _ _ ≪≫ zero_mul
/-- If an initial object `0` exists in a CCC then `0^B ≅ 1` for any `B`. -/
def pow_zero [has_initial C] [cartesian_closed C] : ⊥_C ⟹ B ≅ ⊤_ C :=
{ hom := default _,
inv := curry (mul_zero.hom ≫ default (⊥_ C ⟶ B)),
hom_inv_id' :=
begin
rw [← curry_natural_left, curry_eq_iff, ← cancel_epi mul_zero.inv],
{ apply subsingleton.elim },
{ apply_instance },
{ apply_instance }
end }
-- TODO: Generalise the below to its commutated variants.
-- TODO: Define a distributive category, so that zero_mul and friends can be derived from this.
/-- In a CCC with binary coproducts, the distribution morphism is an isomorphism. -/
def prod_coprod_distrib [has_binary_coproducts C] [cartesian_closed C] (X Y Z : C) :
(Z ⨯ X) ⨿ (Z ⨯ Y) ≅ Z ⨯ (X ⨿ Y) :=
{ hom := coprod.desc (limits.prod.map (𝟙 _) coprod.inl) (limits.prod.map (𝟙 _) coprod.inr),
inv := uncurry (coprod.desc (curry coprod.inl) (curry coprod.inr)),
hom_inv_id' :=
begin
apply coprod.hom_ext,
rw [coprod.inl_desc_assoc, comp_id, ←uncurry_natural_left, coprod.inl_desc, uncurry_curry],
rw [coprod.inr_desc_assoc, comp_id, ←uncurry_natural_left, coprod.inr_desc, uncurry_curry],
end,
inv_hom_id' :=
begin
rw [← uncurry_natural_right, ←eq_curry_iff],
apply coprod.hom_ext,
rw [coprod.inl_desc_assoc, ←curry_natural_right, coprod.inl_desc, ←curry_natural_left, comp_id],
rw [coprod.inr_desc_assoc, ←curry_natural_right, coprod.inr_desc, ←curry_natural_left, comp_id],
end }
/--
If an initial object `0` exists in a CCC then it is a strict initial object,
i.e. any morphism to `0` is an iso.
-/
instance strict_initial [has_initial C] {f : A ⟶ ⊥_ C} : is_iso f :=
begin
haveI : mono (limits.prod.lift (𝟙 A) f ≫ zero_mul.hom) := mono_comp _ _,
rw [zero_mul_hom, prod.lift_snd] at _inst,
haveI: split_epi f := ⟨default _, subsingleton.elim _ _⟩,
apply is_iso_of_mono_of_split_epi
end
/-- If an initial object `0` exists in a CCC then every morphism from it is monic. -/
instance initial_mono (B : C) [has_initial C] [cartesian_closed C] : mono (initial.to B) :=
⟨λ B g h _, eq_of_inv_eq_inv (subsingleton.elim (inv g) (inv h))⟩
variables {D : Type u₂} [category.{v} D]
section functor
variables [has_finite_products D]
/--
Transport the property of being cartesian closed across an equivalence of categories.
Note we didn't require any coherence between the choice of finite products here, since we transport
along the `prod_comparison` isomorphism.
-/
def cartesian_closed_of_equiv (e : C ≌ D) [h : cartesian_closed C] : cartesian_closed D :=
{ closed := λ X,
{ is_adj :=
begin
haveI q : exponentiable (e.inverse.obj X) := infer_instance,
have : is_left_adjoint (prod_functor.obj (e.inverse.obj X)) := q.is_adj,
have : e.functor ⋙ prod_functor.obj X ⋙ e.inverse ≅ prod_functor.obj (e.inverse.obj X),
apply nat_iso.of_components _ _,
intro Y,
{ apply as_iso (prod_comparison e.inverse X (e.functor.obj Y)) ≪≫ _,
exact ⟨limits.prod.map (𝟙 _) (e.unit_inv.app _),
limits.prod.map (𝟙 _) (e.unit.app _),
by simpa [←prod_map_id_comp, prod_map_id_id],
by simpa [←prod_map_id_comp, prod_map_id_id]⟩, },
{ intros Y Z g,
simp only [prod_comparison, inv_prod_comparison_map_fst, inv_prod_comparison_map_snd,
prod.lift_map, functor.comp_map, prod_functor_obj_map, assoc, comp_id,
iso.trans_hom, as_iso_hom],
apply prod.hom_ext,
{ rw [assoc, prod.lift_fst, prod.lift_fst, ←functor.map_comp,
limits.prod.map_fst, comp_id], },
{ rw [assoc, prod.lift_snd, prod.lift_snd, ←functor.map_comp_assoc, limits.prod.map_snd],
simp only [iso.hom_inv_id_app, assoc, equivalence.inv_fun_map,
functor.map_comp, comp_id],
erw comp_id, }, },
{ have : is_left_adjoint (e.functor ⋙ prod_functor.obj X ⋙ e.inverse) :=
by exactI adjunction.left_adjoint_of_nat_iso this.symm,
have : is_left_adjoint (e.inverse ⋙ e.functor ⋙ prod_functor.obj X ⋙ e.inverse) :=
by exactI adjunction.left_adjoint_of_comp e.inverse _,
have : (e.inverse ⋙ e.functor ⋙ prod_functor.obj X ⋙ e.inverse) ⋙ e.functor ≅
prod_functor.obj X,
{ apply iso_whisker_right e.counit_iso (prod_functor.obj X ⋙ e.inverse ⋙ e.functor) ≪≫ _,
change prod_functor.obj X ⋙ e.inverse ⋙ e.functor ≅ prod_functor.obj X,
apply iso_whisker_left (prod_functor.obj X) e.counit_iso, },
resetI,
apply adjunction.left_adjoint_of_nat_iso this },
end } }
variables [cartesian_closed C] [cartesian_closed D]
variables (F : C ⥤ D) [preserves_limits_of_shape (discrete walking_pair) F]
/--
The exponential comparison map.
`F` is a cartesian closed functor if this is an iso for all `A,B`.
-/
def exp_comparison (A B : C) :
F.obj (A ⟹ B) ⟶ F.obj A ⟹ F.obj B :=
curry (inv (prod_comparison F A _) ≫ F.map ((ev _).app _))
/-- The exponential comparison map is natural in its left argument. -/
lemma exp_comparison_natural_left (A A' B : C) (f : A' ⟶ A) :
exp_comparison F A B ≫ pre (F.obj B) (F.map f) = F.map (pre B f) ≫ exp_comparison F A' B :=
begin
rw [exp_comparison, exp_comparison, ← curry_natural_left, eq_curry_iff, uncurry_natural_left,
pre, uncurry_curry, prod_map_map_assoc, curry_eq, prod_map_id_comp, assoc],
erw [(ev _).naturality, ev_coev_assoc, ← F.map_id, ← prod_comparison_inv_natural_assoc,
← F.map_id, ← prod_comparison_inv_natural_assoc, ← F.map_comp, ← F.map_comp, pre, curry_eq,
prod_map_id_comp, assoc, (ev _).naturality, ev_coev_assoc], refl,
end
/-- The exponential comparison map is natural in its right argument. -/
lemma exp_comparison_natural_right (A B B' : C) (f : B ⟶ B') :
exp_comparison F A B ≫ (exp (F.obj A)).map (F.map f) =
F.map ((exp A).map f) ≫ exp_comparison F A B' :=
by
erw [exp_comparison, ← curry_natural_right, curry_eq_iff, exp_comparison, uncurry_natural_left,
uncurry_curry, assoc, ← F.map_comp, ← (ev _).naturality, F.map_comp,
prod_comparison_inv_natural_assoc, F.map_id]
-- TODO: If F has a left adjoint L, then F is cartesian closed if and only if
-- L (B ⨯ F A) ⟶ L B ⨯ L F A ⟶ L B ⨯ A
-- is an iso for all A ∈ D, B ∈ C.
-- Corollary: If F has a left adjoint L which preserves finite products, F is cartesian closed iff
-- F is full and faithful.
end functor
end category_theory
|
2234407cb683c13871c5f4969a732ffde5a48efc | 26ac254ecb57ffcb886ff709cf018390161a9225 | /test/lint.lean | cdeaef73b041c6fcded964769ba8974c65173046 | [
"Apache-2.0"
] | permissive | eric-wieser/mathlib | 42842584f584359bbe1fc8b88b3ff937c8acd72d | d0df6b81cd0920ad569158c06a3fd5abb9e63301 | refs/heads/master | 1,669,546,404,255 | 1,595,254,668,000 | 1,595,254,668,000 | 281,173,504 | 0 | 0 | Apache-2.0 | 1,595,263,582,000 | 1,595,263,581,000 | null | UTF-8 | Lean | false | false | 4,319 | lean | import tactic.lint
import algebra.ring
def foo1 (n m : ℕ) : ℕ := n + 1
def foo2 (n m : ℕ) : m = m := by refl
lemma foo3 (n m : ℕ) : ℕ := n - m
lemma foo.foo (n m : ℕ) : n ≥ n := le_refl n
instance bar.bar : has_add ℕ := by apply_instance -- we don't check the name of instances
lemma foo.bar (ε > 0) : ε = ε := rfl -- >/≥ is allowed in binders (and in fact, in all hypotheses)
-- section
-- local attribute [instance, priority 1001] classical.prop_decidable
-- lemma foo4 : (if 3 = 3 then 1 else 2) = 1 := if_pos (by refl)
-- end
open tactic
meta def fold_over_with_cond {α} (l : list declaration) (tac : declaration → tactic (option α)) :
tactic (list (declaration × α)) :=
l.mmap_filter $ λ d, option.map (λ x, (d, x)) <$> tac d
run_cmd do
let t := name × list ℕ,
e ← get_env,
let l := e.filter (λ d, e.in_current_file' d.to_name ∧ ¬ d.is_auto_or_internal e),
l2 ← fold_over_with_cond l (return ∘ check_unused_arguments),
guard $ l2.length = 4,
let l2 : list t := l2.map $ λ x, ⟨x.1.to_name, x.2⟩,
guard $ (⟨`foo1, [2]⟩ : t) ∈ l2,
guard $ (⟨`foo2, [1]⟩ : t) ∈ l2,
guard $ (⟨`foo.foo, [2]⟩ : t) ∈ l2,
guard $ (⟨`foo.bar, [2]⟩ : t) ∈ l2,
l2 ← fold_over_with_cond l linter.def_lemma.test,
guard $ l2.length = 2,
let l2 : list (name × _) := l2.map $ λ x, ⟨x.1.to_name, x.2⟩,
guard $ ∃(x ∈ l2), (x : name × _).1 = `foo2,
guard $ ∃(x ∈ l2), (x : name × _).1 = `foo3,
l3 ← fold_over_with_cond l linter.dup_namespace.test,
guard $ l3.length = 1,
guard $ ∃(x ∈ l3), (x : declaration × _).1.to_name = `foo.foo,
l4 ← fold_over_with_cond l linter.ge_or_gt.test,
guard $ l4.length = 1,
guard $ ∃(x ∈ l4), (x : declaration × _).1.to_name = `foo.foo,
-- guard $ ∃(x ∈ l4), (x : declaration × _).1.to_name = `foo4,
(_, s) ← lint ff,
guard $ "/- (slow tests skipped) -/\n".is_suffix_of s.to_string,
(_, s2) ← lint tt,
guard $ s.to_string ≠ s2.to_string,
skip
/- check customizability and nolint -/
meta def dummy_check (d : declaration) : tactic (option string) :=
return $ if d.to_name.last = "foo" then some "gotcha!" else none
meta def linter.dummy_linter : linter :=
{ test := dummy_check,
auto_decls := ff,
no_errors_found := "found nothing",
errors_found := "found something" }
@[nolint dummy_linter]
def bar.foo : (if 3 = 3 then 1 else 2) = 1 := if_pos (by refl)
run_cmd do
(_, s) ← lint tt tt [`linter.dummy_linter] tt,
guard $ "/- found something: -/\n#print foo.foo /- gotcha! -/\n".is_suffix_of s.to_string
def incorrect_type_class_argument_test {α : Type} (x : α) [x = x] [decidable_eq α] [group α] :
unit := ()
run_cmd do
d ← get_decl `incorrect_type_class_argument_test,
x ← linter.incorrect_type_class_argument.test d,
guard $ x = some "These are not classes. argument 3: [_inst_1 : x = x]"
section
def impossible_instance_test {α β : Type} [add_group α] : has_add α := infer_instance
local attribute [instance] impossible_instance_test
run_cmd do
d ← get_decl `impossible_instance_test,
x ← linter.impossible_instance.test d,
guard $ x = some "Impossible to infer argument 2: {β : Type}"
def dangerous_instance_test {α β γ : Type} [ring α] [add_comm_group β] [has_coe α β]
[has_inv γ] : has_add β := infer_instance
local attribute [instance] dangerous_instance_test
run_cmd do
d ← get_decl `dangerous_instance_test,
x ← linter.dangerous_instance.test d,
guard $ x = some "The following arguments become metavariables. argument 1: {α : Type}, argument 3: {γ : Type}"
end
section
def foo_has_mul {α} [has_mul α] : has_mul α := infer_instance
local attribute [instance, priority 1] foo_has_mul
run_cmd do
d ← get_decl `has_mul,
some s ← fails_quickly 20 d,
guard $ s = "type-class inference timed out"
local attribute [instance, priority 10000] foo_has_mul
run_cmd do
d ← get_decl `has_mul,
some s ← fails_quickly 3000 d,
guard $ "maximum class-instance resolution depth has been reached".is_prefix_of s
end
/- test of `apply_to_fresh_variables` -/
run_cmd do
e ← mk_const `id,
e2 ← apply_to_fresh_variables e,
type_check e2,
`(@id %%α %%a) ← instantiate_mvars e2,
expr.sort (level.succ $ level.mvar u) ← infer_type α,
skip
|
42870d5750f3971a4ff0615d464590f52c809dce | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/renameFixedPrefix.lean | 6862e6c0063f57653185dd52d05c0073fecd0438 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
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"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 179 | lean | def f (as : Array Nat) (hsz : as.size > 0) (i : Nat) : Nat :=
if h : i < as.size then
as.get ⟨i, h⟩ + f as hsz (i + 1)
else
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termination_by f a h i => a.size - i
|
0fdf4e170a1a1a19ffb91f89cb988ef40d6cded3 | 8eeb99d0fdf8125f5d39a0ce8631653f588ee817 | /src/topology/instances/real.lean | 28cbd3b28b6580dcc77cb75d0b82b6fc0731f45c | [
"Apache-2.0"
] | permissive | jesse-michael-han/mathlib | a15c58378846011b003669354cbab7062b893cfe | fa6312e4dc971985e6b7708d99a5bc3062485c89 | refs/heads/master | 1,625,200,760,912 | 1,602,081,753,000 | 1,602,081,753,000 | 181,787,230 | 0 | 0 | null | 1,555,460,682,000 | 1,555,460,682,000 | null | UTF-8 | Lean | false | false | 16,573 | lean | /-
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 topology.metric_space.basic
import topology.algebra.uniform_group
import topology.algebra.ring
import topology.algebra.continuous_functions
import ring_theory.subring
import group_theory.archimedean
/-!
# Topological properties of ℝ
-/
noncomputable theory
open classical set filter topological_space metric
open_locale classical
open_locale topological_space
universes u v w
variables {α : Type u} {β : Type v} {γ : Type w}
instance : metric_space ℚ :=
metric_space.induced coe rat.cast_injective real.metric_space
theorem rat.dist_eq (x y : ℚ) : dist x y = abs (x - y) := rfl
@[norm_cast, simp] lemma rat.dist_cast (x y : ℚ) : dist (x : ℝ) y = dist x y := rfl
section low_prio
-- we want to ignore this instance for the next declaration
local attribute [instance, priority 10] int.uniform_space
instance : metric_space ℤ :=
begin
letI M := metric_space.induced coe int.cast_injective real.metric_space,
refine @metric_space.replace_uniformity _ int.uniform_space M
(le_antisymm refl_le_uniformity $ λ r ru,
mem_uniformity_dist.2 ⟨1, zero_lt_one, λ a b h,
mem_principal_sets.1 ru $ dist_le_zero.1 (_ : (abs (a - b) : ℝ) ≤ 0)⟩),
have : (abs (↑a - ↑b) : ℝ) < 1 := h,
have : abs (a - b) < 1, by norm_cast at this; assumption,
have : abs (a - b) ≤ 0 := (@int.lt_add_one_iff _ 0).mp this,
norm_cast, assumption
end
end low_prio
theorem int.dist_eq (x y : ℤ) : dist x y = abs (x - y) := rfl
@[norm_cast, simp] theorem int.dist_cast_real (x y : ℤ) : dist (x : ℝ) y = dist x y := rfl
@[norm_cast, simp] theorem int.dist_cast_rat (x y : ℤ) : dist (x : ℚ) y = dist x y :=
by rw [← int.dist_cast_real, ← rat.dist_cast]; congr' 1; norm_cast
theorem uniform_continuous_of_rat : uniform_continuous (coe : ℚ → ℝ) :=
uniform_continuous_comap
theorem uniform_embedding_of_rat : uniform_embedding (coe : ℚ → ℝ) :=
uniform_embedding_comap rat.cast_injective
theorem dense_embedding_of_rat : dense_embedding (coe : ℚ → ℝ) :=
uniform_embedding_of_rat.dense_embedding $
λ x, mem_closure_iff_nhds.2 $ λ t ht,
let ⟨ε,ε0, hε⟩ := mem_nhds_iff.1 ht in
let ⟨q, h⟩ := exists_rat_near x ε0 in
⟨_, hε (mem_ball'.2 h), q, rfl⟩
theorem embedding_of_rat : embedding (coe : ℚ → ℝ) := dense_embedding_of_rat.to_embedding
theorem continuous_of_rat : continuous (coe : ℚ → ℝ) := uniform_continuous_of_rat.continuous
theorem real.uniform_continuous_add : uniform_continuous (λp : ℝ × ℝ, p.1 + p.2) :=
metric.uniform_continuous_iff.2 $ λ ε ε0,
let ⟨δ, δ0, Hδ⟩ := rat_add_continuous_lemma abs ε0 in
⟨δ, δ0, λ a b h, let ⟨h₁, h₂⟩ := max_lt_iff.1 h in Hδ h₁ h₂⟩
-- TODO(Mario): Find a way to use rat_add_continuous_lemma
theorem rat.uniform_continuous_add : uniform_continuous (λp : ℚ × ℚ, p.1 + p.2) :=
uniform_embedding_of_rat.to_uniform_inducing.uniform_continuous_iff.2 $ by simp [(∘)]; exact
real.uniform_continuous_add.comp ((uniform_continuous_of_rat.comp uniform_continuous_fst).prod_mk
(uniform_continuous_of_rat.comp uniform_continuous_snd))
theorem real.uniform_continuous_neg : uniform_continuous (@has_neg.neg ℝ _) :=
metric.uniform_continuous_iff.2 $ λ ε ε0, ⟨_, ε0, λ a b h,
by rw dist_comm at h; simpa [real.dist_eq] using h⟩
theorem rat.uniform_continuous_neg : uniform_continuous (@has_neg.neg ℚ _) :=
metric.uniform_continuous_iff.2 $ λ ε ε0, ⟨_, ε0, λ a b h,
by rw dist_comm at h; simpa [rat.dist_eq] using h⟩
instance : uniform_add_group ℝ :=
uniform_add_group.mk' real.uniform_continuous_add real.uniform_continuous_neg
instance : uniform_add_group ℚ :=
uniform_add_group.mk' rat.uniform_continuous_add rat.uniform_continuous_neg
-- short-circuit type class inference
instance : topological_add_group ℝ := by apply_instance
instance : topological_add_group ℚ := by apply_instance
instance : order_topology ℚ :=
induced_order_topology _ (λ x y, rat.cast_lt) (@exists_rat_btwn _ _ _)
lemma real.is_topological_basis_Ioo_rat :
@is_topological_basis ℝ _ (⋃(a b : ℚ) (h : a < b), {Ioo a b}) :=
is_topological_basis_of_open_of_nhds
(by simp [is_open_Ioo] {contextual:=tt})
(assume a v hav hv,
let ⟨l, u, hl, hu, h⟩ := (mem_nhds_unbounded (no_top _) (no_bot _)).mp (mem_nhds_sets hv hav),
⟨q, hlq, hqa⟩ := exists_rat_btwn hl,
⟨p, hap, hpu⟩ := exists_rat_btwn hu in
⟨Ioo q p,
by simp; exact ⟨q, p, rat.cast_lt.1 $ lt_trans hqa hap, rfl⟩,
⟨hqa, hap⟩, assume a' ⟨hqa', ha'p⟩, h _ (lt_trans hlq hqa') (lt_trans ha'p hpu)⟩)
instance : second_countable_topology ℝ :=
⟨⟨(⋃(a b : ℚ) (h : a < b), {Ioo a b}),
by simp [countable_Union, countable_Union_Prop],
real.is_topological_basis_Ioo_rat.2.2⟩⟩
/- TODO(Mario): Prove that these are uniform isomorphisms instead of uniform embeddings
lemma uniform_embedding_add_rat {r : ℚ} : uniform_embedding (λp:ℚ, p + r) :=
_
lemma uniform_embedding_mul_rat {q : ℚ} (hq : q ≠ 0) : uniform_embedding ((*) q) :=
_ -/
lemma real.mem_closure_iff {s : set ℝ} {x : ℝ} : x ∈ closure s ↔ ∀ ε > 0, ∃ y ∈ s, abs (y - x) < ε :=
by simp [mem_closure_iff_nhds_basis nhds_basis_ball, real.dist_eq]
lemma real.uniform_continuous_inv (s : set ℝ) {r : ℝ} (r0 : 0 < r) (H : ∀ x ∈ s, r ≤ abs x) :
uniform_continuous (λp:s, p.1⁻¹) :=
metric.uniform_continuous_iff.2 $ λ ε ε0,
let ⟨δ, δ0, Hδ⟩ := rat_inv_continuous_lemma abs ε0 r0 in
⟨δ, δ0, λ a b h, Hδ (H _ a.2) (H _ b.2) h⟩
lemma real.uniform_continuous_abs : uniform_continuous (abs : ℝ → ℝ) :=
metric.uniform_continuous_iff.2 $ λ ε ε0,
⟨ε, ε0, λ a b, lt_of_le_of_lt (abs_abs_sub_abs_le_abs_sub _ _)⟩
lemma real.continuous_abs : continuous (abs : ℝ → ℝ) :=
real.uniform_continuous_abs.continuous
lemma rat.uniform_continuous_abs : uniform_continuous (abs : ℚ → ℚ) :=
metric.uniform_continuous_iff.2 $ λ ε ε0,
⟨ε, ε0, λ a b h, lt_of_le_of_lt
(by simpa [rat.dist_eq] using abs_abs_sub_abs_le_abs_sub _ _) h⟩
lemma rat.continuous_abs : continuous (abs : ℚ → ℚ) :=
rat.uniform_continuous_abs.continuous
lemma real.tendsto_inv {r : ℝ} (r0 : r ≠ 0) : tendsto (λq, q⁻¹) (𝓝 r) (𝓝 r⁻¹) :=
by rw ← abs_pos_iff at r0; exact
tendsto_of_uniform_continuous_subtype
(real.uniform_continuous_inv {x | abs r / 2 < abs x} (half_pos r0) (λ x h, le_of_lt h))
(mem_nhds_sets (real.continuous_abs _ $ is_open_lt' (abs r / 2)) (half_lt_self r0))
lemma real.continuous_inv : continuous (λa:{r:ℝ // r ≠ 0}, a.val⁻¹) :=
continuous_iff_continuous_at.mpr $ assume ⟨r, hr⟩,
tendsto.comp (real.tendsto_inv hr) (continuous_iff_continuous_at.mp continuous_subtype_val _)
lemma real.continuous.inv [topological_space α] {f : α → ℝ} (h : ∀a, f a ≠ 0) (hf : continuous f) :
continuous (λa, (f a)⁻¹) :=
show continuous ((has_inv.inv ∘ @subtype.val ℝ (λr, r ≠ 0)) ∘ λa, ⟨f a, h a⟩),
from real.continuous_inv.comp (continuous_subtype_mk _ hf)
lemma real.uniform_continuous_mul_const {x : ℝ} : uniform_continuous ((*) x) :=
metric.uniform_continuous_iff.2 $ λ ε ε0, begin
cases no_top (abs x) with y xy,
have y0 := lt_of_le_of_lt (abs_nonneg _) xy,
refine ⟨_, div_pos ε0 y0, λ a b h, _⟩,
rw [real.dist_eq, ← mul_sub, abs_mul, ← mul_div_cancel' ε (ne_of_gt y0)],
exact mul_lt_mul' (le_of_lt xy) h (abs_nonneg _) y0
end
lemma real.uniform_continuous_mul (s : set (ℝ × ℝ))
{r₁ r₂ : ℝ} (H : ∀ x ∈ s, abs (x : ℝ × ℝ).1 < r₁ ∧ abs x.2 < r₂) :
uniform_continuous (λp:s, p.1.1 * p.1.2) :=
metric.uniform_continuous_iff.2 $ λ ε ε0,
let ⟨δ, δ0, Hδ⟩ := rat_mul_continuous_lemma abs ε0 in
⟨δ, δ0, λ a b h,
let ⟨h₁, h₂⟩ := max_lt_iff.1 h in Hδ (H _ a.2).1 (H _ b.2).2 h₁ h₂⟩
protected lemma real.continuous_mul : continuous (λp : ℝ × ℝ, p.1 * p.2) :=
continuous_iff_continuous_at.2 $ λ ⟨a₁, a₂⟩,
tendsto_of_uniform_continuous_subtype
(real.uniform_continuous_mul
({x | abs x < abs a₁ + 1}.prod {x | abs x < abs a₂ + 1})
(λ x, id))
(mem_nhds_sets
(is_open_prod
(real.continuous_abs _ $ is_open_gt' (abs a₁ + 1))
(real.continuous_abs _ $ is_open_gt' (abs a₂ + 1)))
⟨lt_add_one (abs a₁), lt_add_one (abs a₂)⟩)
instance : topological_ring ℝ :=
{ continuous_mul := real.continuous_mul, ..real.topological_add_group }
instance : topological_semiring ℝ := by apply_instance -- short-circuit type class inference
lemma rat.continuous_mul : continuous (λp : ℚ × ℚ, p.1 * p.2) :=
embedding_of_rat.continuous_iff.2 $ by simp [(∘)]; exact
real.continuous_mul.comp ((continuous_of_rat.comp continuous_fst).prod_mk
(continuous_of_rat.comp continuous_snd))
instance : topological_ring ℚ :=
{ continuous_mul := rat.continuous_mul, ..rat.topological_add_group }
theorem real.ball_eq_Ioo (x ε : ℝ) : ball x ε = Ioo (x - ε) (x + ε) :=
set.ext $ λ y, by rw [mem_ball, real.dist_eq,
abs_sub_lt_iff, sub_lt_iff_lt_add', and_comm, sub_lt]; refl
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', add_self_div_two, ← add_div,
add_assoc, add_sub_cancel'_right, add_self_div_two]
lemma real.totally_bounded_Ioo (a b : ℝ) : totally_bounded (Ioo a b) :=
metric.totally_bounded_iff.2 $ λ ε ε0, begin
rcases exists_nat_gt ((b - a) / ε) with ⟨n, ba⟩,
rw [div_lt_iff' ε0, sub_lt_iff_lt_add'] at ba,
let s := (λ i:ℕ, a + ε * i) '' {i:ℕ | i < n},
refine ⟨s, (set.finite_lt_nat _).image _, _⟩,
rintro x ⟨ax, xb⟩,
let i : ℕ := ⌊(x - a) / ε⌋.to_nat,
have : (i : ℤ) = ⌊(x - a) / ε⌋ :=
int.to_nat_of_nonneg (floor_nonneg.2 $ le_of_lt (div_pos (sub_pos.2 ax) ε0)),
simp, use i, split,
{ rw [← int.coe_nat_lt, this],
refine int.cast_lt.1 (lt_of_le_of_lt (floor_le _) _),
rw [int.cast_coe_nat, div_lt_iff' ε0, sub_lt_iff_lt_add'],
exact lt_trans xb ba },
{ rw [real.dist_eq, ← int.cast_coe_nat, this, abs_of_nonneg,
← sub_sub, sub_lt_iff_lt_add'],
{ have := lt_floor_add_one ((x - a) / ε),
rwa [div_lt_iff' ε0, mul_add, mul_one] at this },
{ have := floor_le ((x - a) / ε),
rwa [sub_nonneg, ← le_sub_iff_add_le', ← le_div_iff' ε0] } }
end
lemma real.totally_bounded_ball (x ε : ℝ) : totally_bounded (ball x ε) :=
by rw real.ball_eq_Ioo; apply real.totally_bounded_Ioo
lemma real.totally_bounded_Ico (a b : ℝ) : totally_bounded (Ico a b) :=
let ⟨c, ac⟩ := no_bot a in totally_bounded_subset
(by exact λ x ⟨h₁, h₂⟩, ⟨lt_of_lt_of_le ac h₁, h₂⟩)
(real.totally_bounded_Ioo c b)
lemma real.totally_bounded_Icc (a b : ℝ) : totally_bounded (Icc a b) :=
let ⟨c, bc⟩ := no_top b in totally_bounded_subset
(by exact λ x ⟨h₁, h₂⟩, ⟨h₁, lt_of_le_of_lt h₂ bc⟩)
(real.totally_bounded_Ico a c)
lemma rat.totally_bounded_Icc (a b : ℚ) : totally_bounded (Icc a b) :=
begin
have := totally_bounded_preimage uniform_embedding_of_rat (real.totally_bounded_Icc a b),
rwa (set.ext (λ q, _) : Icc _ _ = _), simp
end
instance : complete_space ℝ :=
begin
apply complete_of_cauchy_seq_tendsto,
intros u hu,
let c : cau_seq ℝ abs := ⟨u, cauchy_seq_iff'.1 hu⟩,
refine ⟨c.lim, λ s h, _⟩,
rcases metric.mem_nhds_iff.1 h with ⟨ε, ε0, hε⟩,
have := c.equiv_lim ε ε0,
simp only [mem_map, mem_at_top_sets, mem_set_of_eq],
refine this.imp (λ N hN n hn, hε (hN n hn))
end
section
lemma closure_of_rat_image_lt {q : ℚ} : closure ((coe:ℚ → ℝ) '' {x | q < x}) = {r | ↑q ≤ r} :=
subset.antisymm
((is_closed_ge' _).closure_subset_iff.2
(image_subset_iff.2 $ λ p h, le_of_lt $ (@rat.cast_lt ℝ _ _ _).2 h)) $
λ x hx, mem_closure_iff_nhds.2 $ λ t ht,
let ⟨ε, ε0, hε⟩ := metric.mem_nhds_iff.1 ht in
let ⟨p, h₁, h₂⟩ := exists_rat_btwn ((lt_add_iff_pos_right x).2 ε0) in
⟨_, hε (show abs _ < _,
by rwa [abs_of_nonneg (le_of_lt $ sub_pos.2 h₁), sub_lt_iff_lt_add']),
p, rat.cast_lt.1 (@lt_of_le_of_lt ℝ _ _ _ _ hx h₁), rfl⟩
/- TODO(Mario): Put these back only if needed later
lemma closure_of_rat_image_le_eq {q : ℚ} : closure ((coe:ℚ → ℝ) '' {x | q ≤ x}) = {r | ↑q ≤ r} :=
_
lemma closure_of_rat_image_le_le_eq {a b : ℚ} (hab : a ≤ b) :
closure (of_rat '' {q:ℚ | a ≤ q ∧ q ≤ b}) = {r:ℝ | of_rat a ≤ r ∧ r ≤ of_rat b} :=
_-/
lemma compact_Icc {a b : ℝ} : is_compact (Icc a b) :=
compact_of_totally_bounded_is_closed
(real.totally_bounded_Icc a b)
(is_closed_inter (is_closed_ge' a) (is_closed_le' b))
instance : proper_space ℝ :=
{ compact_ball := λx r, by rw closed_ball_Icc; apply compact_Icc }
lemma real.bounded_iff_bdd_below_bdd_above {s : set ℝ} : bounded s ↔ bdd_below s ∧ bdd_above s :=
⟨begin
assume bdd,
rcases (bounded_iff_subset_ball 0).1 bdd with ⟨r, hr⟩, -- hr : s ⊆ closed_ball 0 r
rw closed_ball_Icc at hr, -- hr : s ⊆ Icc (0 - r) (0 + r)
exact ⟨⟨-r, λy hy, by simpa using (hr hy).1⟩, ⟨r, λy hy, by simpa using (hr hy).2⟩⟩
end,
begin
rintros ⟨⟨m, hm⟩, ⟨M, hM⟩⟩,
have I : s ⊆ Icc m M := λx hx, ⟨hm hx, hM hx⟩,
have : Icc m M = closed_ball ((m+M)/2) ((M-m)/2) :=
by rw closed_ball_Icc; congr; ring,
rw this at I,
exact bounded.subset I bounded_closed_ball
end⟩
lemma real.image_Icc {f : ℝ → ℝ} {a b : ℝ} (hab : a ≤ b) (h : continuous_on f $ Icc a b) :
f '' Icc a b = Icc (Inf $ f '' Icc a b) (Sup $ f '' Icc a b) :=
eq_Icc_of_connected_compact ⟨(nonempty_Icc.2 hab).image f, is_preconnected_Icc.image f h⟩
(compact_Icc.image_of_continuous_on h)
end
instance reals_semimodule : topological_semimodule ℝ ℝ := ⟨continuous_mul⟩
instance real_maps_algebra {α : Type*} [topological_space α] :
algebra ℝ C(α, ℝ) := continuous_map_algebra
section subgroups
/-- Given a nontrivial subgroup `G ⊆ ℝ`, if `G ∩ ℝ_{>0}` has no minimum then `G` is dense. -/
lemma real.subgroup_dense_of_no_min {G : add_subgroup ℝ} {g₀ : ℝ} (g₀_in : g₀ ∈ G) (g₀_ne : g₀ ≠ 0)
(H' : ¬ ∃ a : ℝ, is_least {g : ℝ | g ∈ G ∧ 0 < g} a) :
closure (G : set ℝ) = univ :=
begin
let G_pos := {g : ℝ | g ∈ G ∧ 0 < g},
push_neg at H',
rw eq_univ_iff_forall,
intros x,
suffices : ∀ ε > (0 : ℝ), ∃ g ∈ G, abs (x - g) < ε,
by simpa only [real.mem_closure_iff, abs_sub],
intros ε ε_pos,
obtain ⟨g₁, g₁_in, g₁_pos⟩ : ∃ g₁ : ℝ, g₁ ∈ G ∧ 0 < g₁,
{ cases lt_or_gt_of_ne g₀_ne with Hg₀ Hg₀,
{ exact ⟨-g₀, G.neg_mem g₀_in, neg_pos.mpr Hg₀⟩ },
{ exact ⟨g₀, g₀_in, Hg₀⟩ } },
obtain ⟨a, ha⟩ : ∃ a, is_glb G_pos a :=
⟨Inf G_pos, is_glb_cInf ⟨g₁, g₁_in, g₁_pos⟩ ⟨0, λ _ hx, le_of_lt hx.2⟩⟩,
have a_notin : a ∉ G_pos,
{ intros H,
exact H' a ⟨H, ha.1⟩ },
obtain ⟨g₂, g₂_in, g₂_pos, g₂_lt⟩ : ∃ g₂ : ℝ, g₂ ∈ G ∧ 0 < g₂ ∧ g₂ < ε,
{ obtain ⟨b, hb, hb', hb''⟩ := ha.exists_between_self_add' ε_pos a_notin,
obtain ⟨c, hc, hc', hc''⟩ := ha.exists_between_self_add' (by linarith : 0 < b - a) a_notin,
refine ⟨b - c, add_subgroup.sub_mem G hb.1 hc.1, _, _⟩ ;
linarith },
refine ⟨floor (x/g₂) * g₂, _, _⟩,
{ exact add_subgroup.int_mul_mem _ g₂_in },
{ rw abs_of_nonneg (sub_floor_div_mul_nonneg x g₂_pos),
linarith [sub_floor_div_mul_lt x g₂_pos] }
end
/-- Subgroups of `ℝ` are either dense or cyclic. See `real.subgroup_dense_of_no_min` and
`subgroup_cyclic_of_min` for more precise statements. -/
lemma real.subgroup_dense_or_cyclic (G : add_subgroup ℝ) :
closure (G : set ℝ) = univ ∨ ∃ a : ℝ, G = add_subgroup.closure {a} :=
begin
cases add_subgroup.bot_or_exists_ne_zero G with H H,
{ right,
use 0,
rw [H, add_subgroup.closure_singleton_zero] },
{ let G_pos := {g : ℝ | g ∈ G ∧ 0 < g},
by_cases H' : ∃ a, is_least G_pos a,
{ right,
rcases H' with ⟨a, ha⟩,
exact ⟨a, add_subgroup.cyclic_of_min ha⟩ },
{ left,
rcases H with ⟨g₀, g₀_in, g₀_ne⟩,
exact real.subgroup_dense_of_no_min g₀_in g₀_ne H' } }
end
end subgroups
|
5e3616e53c8bb42d9f6869ec13a7f24c74b30cb6 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/linear_algebra/unitary_group.lean | 50b9743daa1ed607fcb38e7ea5f1a05c8ff86a87 | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 4,937 | lean | /-
Copyright (c) 2021 Shing Tak Lam. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Shing Tak Lam
-/
import linear_algebra.matrix.to_lin
import linear_algebra.matrix.nonsingular_inverse
import algebra.star.unitary
/-!
# The Unitary Group
This file defines elements of the unitary group `unitary_group n α`, where `α` is a `star_ring`.
This consists of all `n` by `n` matrices with entries in `α` such that the star-transpose is its
inverse. In addition, we define the group structure on `unitary_group n α`, and the embedding into
the general linear group `general_linear_group α (n → α)`.
We also define the orthogonal group `orthogonal_group n β`, where `β` is a `comm_ring`.
## Main Definitions
* `matrix.unitary_group` is the type of matrices where the star-transpose is the inverse
* `matrix.unitary_group.group` is the group structure (under multiplication)
* `matrix.unitary_group.embedding_GL` is the embedding `unitary_group n α → GLₙ(α)`
* `matrix.orthogonal_group` is the type of matrices where the transpose is the inverse
## References
* https://en.wikipedia.org/wiki/Unitary_group
## Tags
matrix group, group, unitary group, orthogonal group
-/
universes u v
namespace matrix
open linear_map
open_locale matrix
section
variables (n : Type u) [decidable_eq n] [fintype n]
variables (α : Type v) [comm_ring α] [star_ring α]
/--
`unitary_group n` is the group of `n` by `n` matrices where the star-transpose is the inverse.
-/
abbreviation unitary_group := unitary (matrix n n α)
end
variables {n : Type u} [decidable_eq n] [fintype n]
variables {α : Type v} [comm_ring α] [star_ring α]
namespace unitary_group
instance coe_matrix : has_coe (unitary_group n α) (matrix n n α) := ⟨subtype.val⟩
instance coe_fun : has_coe_to_fun (unitary_group n α) (λ _, n → n → α) :=
{ coe := λ A, A.val }
/--
`to_lin' A` is matrix multiplication of vectors by `A`, as a linear map.
After the group structure on `unitary_group n` is defined,
we show in `to_linear_equiv` that this gives a linear equivalence.
-/
def to_lin' (A : unitary_group n α) := matrix.to_lin' A
lemma ext_iff (A B : unitary_group n α) : A = B ↔ ∀ i j, A i j = B i j :=
subtype.ext_iff_val.trans ⟨(λ h i j, congr_fun (congr_fun h i) j), matrix.ext⟩
@[ext] lemma ext (A B : unitary_group n α) : (∀ i j, A i j = B i j) → A = B :=
(unitary_group.ext_iff A B).mpr
@[simp]
lemma star_mul_self (A : unitary_group n α) : star A ⬝ A = 1 := A.2.1
section coe_lemmas
variables (A B : unitary_group n α)
@[simp] lemma inv_val : ↑(A⁻¹) = (star A : matrix n n α) := rfl
@[simp] lemma inv_apply : ⇑(A⁻¹) = (star A : matrix n n α) := rfl
@[simp] lemma mul_val : ↑(A * B) = A ⬝ B := rfl
@[simp] lemma mul_apply : ⇑(A * B) = (A ⬝ B) := rfl
@[simp] lemma one_val : ↑(1 : unitary_group n α) = (1 : matrix n n α) := rfl
@[simp] lemma one_apply : ⇑(1 : unitary_group n α) = (1 : matrix n n α) := rfl
@[simp] lemma to_lin'_mul :
to_lin' (A * B) = (to_lin' A).comp (to_lin' B) :=
matrix.to_lin'_mul A B
@[simp] lemma to_lin'_one :
to_lin' (1 : unitary_group n α) = linear_map.id :=
matrix.to_lin'_one
end coe_lemmas
/-- `to_linear_equiv A` is matrix multiplication of vectors by `A`, as a linear equivalence. -/
def to_linear_equiv (A : unitary_group n α) : (n → α) ≃ₗ[α] (n → α) :=
{ inv_fun := to_lin' A⁻¹,
left_inv := λ x, calc
(to_lin' A⁻¹).comp (to_lin' A) x
= (to_lin' (A⁻¹ * A)) x : by rw [←to_lin'_mul]
... = x : by rw [mul_left_inv, to_lin'_one, id_apply],
right_inv := λ x, calc
(to_lin' A).comp (to_lin' A⁻¹) x
= to_lin' (A * A⁻¹) x : by rw [←to_lin'_mul]
... = x : by rw [mul_right_inv, to_lin'_one, id_apply],
..matrix.to_lin' A }
/-- `to_GL` is the map from the unitary group to the general linear group -/
def to_GL (A : unitary_group n α) : general_linear_group α (n → α) :=
general_linear_group.of_linear_equiv (to_linear_equiv A)
lemma coe_to_GL (A : unitary_group n α) :
↑(to_GL A) = to_lin' A :=
rfl
@[simp]
lemma to_GL_one : to_GL (1 : unitary_group n α) = 1 :=
by { ext1 v i, rw [coe_to_GL, to_lin'_one], refl }
@[simp]
lemma to_GL_mul (A B : unitary_group n α) :
to_GL (A * B) = to_GL A * to_GL B :=
by { ext1 v i, rw [coe_to_GL, to_lin'_mul], refl }
/-- `unitary_group.embedding_GL` is the embedding from `unitary_group n α`
to `general_linear_group n α`. -/
def embedding_GL : unitary_group n α →* general_linear_group α (n → α) :=
⟨λ A, to_GL A, by simp, by simp⟩
end unitary_group
section orthogonal_group
variables (β : Type v) [comm_ring β]
local attribute [instance] star_ring_of_comm
/--
`orthogonal_group n` is the group of `n` by `n` matrices where the transpose is the inverse.
-/
abbreviation orthogonal_group := unitary_group n β
end orthogonal_group
end matrix
|
1e16ebc636fe02ab5c86bb0f80b1583511400fe7 | 5ae26df177f810c5006841e9c73dc56e01b978d7 | /src/measure_theory/integration.lean | b0013e458f8a1c01b38006991282bc72f36643eb | [
"Apache-2.0"
] | permissive | ChrisHughes24/mathlib | 98322577c460bc6b1fe5c21f42ce33ad1c3e5558 | a2a867e827c2a6702beb9efc2b9282bd801d5f9a | refs/heads/master | 1,583,848,251,477 | 1,565,164,247,000 | 1,565,164,247,000 | 129,409,993 | 0 | 1 | Apache-2.0 | 1,565,164,817,000 | 1,523,628,059,000 | Lean | UTF-8 | Lean | false | false | 46,155 | lean | /-
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
Lebesgue integral on `ennreal`.
We define simple functions and show that each Borel measurable function on `ennreal` can be
approximated by a sequence of simple functions.
-/
import
algebra.pi_instances
measure_theory.measure_space
measure_theory.borel_space
noncomputable theory
open lattice set filter
local attribute [instance] classical.prop_decidable
section sequence_of_directed
variables {α : Type*} {β : Type*} [encodable α] [inhabited α]
open encodable
noncomputable def sequence_of_directed (r : β → β → Prop) (f : α → β) (hf : directed r f) : ℕ → α
| 0 := default α
| (n + 1) :=
let p := sequence_of_directed n in
match decode α n with
| none := p
| (some a) := classical.some (hf p a)
end
lemma monotone_sequence_of_directed [partial_order β] (f : α → β) (hf : directed (≤) f) :
monotone (f ∘ sequence_of_directed (≤) f hf) :=
monotone_of_monotone_nat $ assume n,
begin
dsimp [sequence_of_directed],
generalize eq : sequence_of_directed (≤) f hf n = p,
cases h : decode α n with a,
{ refl },
{ exact (classical.some_spec (hf p a)).1 }
end
lemma le_sequence_of_directed [partial_order β] (f : α → β) (hf : directed (≤) f) (a : α) :
f a ≤ f (sequence_of_directed (≤) f hf (encode a + 1)) :=
begin
simp [sequence_of_directed, -add_comm, encodek],
exact (classical.some_spec (hf _ a)).2
end
end sequence_of_directed
namespace measure_theory
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
structure {u v} simple_func (α : Type u) [measurable_space α] (β : Type v) :=
(to_fun : α → β)
(measurable_sn : ∀ x, is_measurable (to_fun ⁻¹' {x}))
(finite : (set.range to_fun).finite)
local infixr ` →ₛ `:25 := simple_func
namespace simple_func
section measurable
variables [measurable_space α]
instance has_coe_to_fun : has_coe_to_fun (α →ₛ β) := ⟨_, to_fun⟩
@[extensionality] theorem ext {f g : α →ₛ β} (H : ∀ a, f a = g a) : f = g :=
by cases f; cases g; congr; exact funext H
protected def range (f : α →ₛ β) := f.finite.to_finset
@[simp] theorem mem_range {f : α →ₛ β} {b} : b ∈ f.range ↔ ∃ a, f a = b :=
finite.mem_to_finset
def const (α) {β} [measurable_space α] (b : β) : α →ₛ β :=
⟨λ a, b, λ x, is_measurable.const _,
finite_subset (set.finite_singleton b) $ by rintro _ ⟨a, rfl⟩; simp⟩
@[simp] theorem const_apply (a : α) (b : β) : (const α b) a = b := rfl
lemma range_const (α) [measurable_space α] [ne : nonempty α] (b : β) :
(const α b).range = {b} :=
begin
ext b',
simp [mem_range],
exact ⟨assume ⟨_, h⟩, h.symm, assume h, ne.elim $ λa, ⟨a, h.symm⟩⟩
end
lemma is_measurable_cut (p : α → β → Prop) (f : α →ₛ β)
(h : ∀b, is_measurable {a | p a b}) : is_measurable {a | p a (f a)} :=
begin
rw (_ : {a | p a (f a)} = ⋃ b ∈ set.range f, {a | p a b} ∩ f ⁻¹' {b}),
{ exact is_measurable.bUnion (countable_finite f.finite)
(λ b _, is_measurable.inter (h b) (f.measurable_sn _)) },
ext a, simp,
exact ⟨λ h, ⟨_, ⟨a, rfl⟩, h, rfl⟩, λ ⟨_, ⟨a', rfl⟩, h', e⟩, e.symm ▸ h'⟩
end
theorem preimage_measurable (f : α →ₛ β) (s) : is_measurable (f ⁻¹' s) :=
is_measurable_cut (λ _ b, b ∈ s) f (λ b, by simp [is_measurable.const])
theorem measurable [measurable_space β] (f : α →ₛ β) : measurable f :=
λ s _, preimage_measurable f s
def ite {s : set α} (hs : is_measurable s) (f g : α →ₛ β) : α →ₛ β :=
⟨λ a, if a ∈ s then f a else g a,
λ x, by letI : measurable_space β := ⊤; exact
measurable.if hs f.measurable g.measurable _ trivial,
finite_subset (finite_union f.finite g.finite) begin
rintro _ ⟨a, rfl⟩,
by_cases a ∈ s; simp [h],
exacts [or.inl ⟨_, rfl⟩, or.inr ⟨_, rfl⟩]
end⟩
@[simp] theorem ite_apply {s : set α} (hs : is_measurable s)
(f g : α →ₛ β) (a) : ite hs f g a = if a ∈ s then f a else g a := rfl
def bind (f : α →ₛ β) (g : β → α →ₛ γ) : α →ₛ γ :=
⟨λa, g (f a) a,
λ c, is_measurable_cut (λa b, g b a ∈ ({c} : set γ)) f (λ b, (g b).measurable_sn c),
finite_subset (finite_bUnion f.finite (λ b, (g b).finite)) $
by rintro _ ⟨a, rfl⟩; simp; exact ⟨_, ⟨a, rfl⟩, _, rfl⟩⟩
@[simp] theorem bind_apply (f : α →ₛ β) (g : β → α →ₛ γ) (a) :
f.bind g a = g (f a) a := rfl
def restrict [has_zero β] (f : α →ₛ β) (s : set α) : α →ₛ β :=
if hs : is_measurable s then ite hs f (const α 0) else const α 0
@[simp] theorem restrict_apply [has_zero β]
(f : α →ₛ β) {s : set α} (hs : is_measurable s) (a) :
restrict f s a = if a ∈ s then f a else 0 :=
by unfold_coes; simp [restrict, hs]; apply ite_apply hs
theorem restrict_preimage [has_zero β]
(f : α →ₛ β) {s : set α} (hs : is_measurable s)
{t : set β} (ht : (0:β) ∉ t) : restrict f s ⁻¹' t = s ∩ f ⁻¹' t :=
by ext a; dsimp [preimage]; rw [restrict_apply]; by_cases a ∈ s; simp [h, hs, ht]
def map (g : β → γ) (f : α →ₛ β) : α →ₛ γ := bind f (const α ∘ g)
@[simp] theorem map_apply (g : β → γ) (f : α →ₛ β) (a) : f.map g a = g (f a) := rfl
theorem map_map (g : β → γ) (h: γ → δ) (f : α →ₛ β) : (f.map g).map h = f.map (h ∘ g) := rfl
theorem coe_map (g : β → γ) (f : α →ₛ β) : (f.map g : α → γ) = g ∘ f := rfl
@[simp] theorem range_map (g : β → γ) (f : α →ₛ β) : (f.map g).range = f.range.image g :=
begin
ext c,
simp [mem_range],
split,
{ rintros ⟨a, rfl⟩, exact ⟨f a, ⟨_, rfl⟩, rfl⟩ },
{ rintros ⟨_, ⟨a, rfl⟩, rfl⟩, exact ⟨_, rfl⟩ }
end
def seq (f : α →ₛ (β → γ)) (g : α →ₛ β) : α →ₛ γ := f.bind (λf, g.map f)
def pair (f : α →ₛ β) (g : α →ₛ γ) : α →ₛ (β × γ) := (f.map prod.mk).seq g
@[simp] lemma pair_apply (f : α →ₛ β) (g : α →ₛ γ) (a) : pair f g a = (f a, g a) := rfl
theorem bind_const (f : α →ₛ β) : f.bind (const α) = f := by ext; simp
instance [has_zero β] : has_zero (α →ₛ β) := ⟨const α 0⟩
instance [has_add β] : has_add (α →ₛ β) := ⟨λf g, (f.map (+)).seq g⟩
instance [has_mul β] : has_mul (α →ₛ β) := ⟨λf g, (f.map (*)).seq g⟩
instance [has_sup β] : has_sup (α →ₛ β) := ⟨λf g, (f.map (⊔)).seq g⟩
instance [has_inf β] : has_inf (α →ₛ β) := ⟨λf g, (f.map (⊓)).seq g⟩
instance [has_le β] : has_le (α →ₛ β) := ⟨λf g, ∀a, f a ≤ g a⟩
@[simp] lemma sup_apply [has_sup β] (f g : α →ₛ β) (a : α) : (f ⊔ g) a = f a ⊔ g a := rfl
@[simp] lemma mul_apply [has_mul β] (f g : α →ₛ β) (a : α) : (f * g) a = f a * g a := rfl
lemma add_apply [has_add β] (f g : α →ₛ β) (a : α) : (f + g) a = f a + g a := rfl
lemma add_eq_map₂ [has_add β] (f g : α →ₛ β) : f + g = (pair f g).map (λp:β×β, p.1 + p.2) :=
rfl
lemma sup_eq_map₂ [has_sup β] (f g : α →ₛ β) : f ⊔ g = (pair f g).map (λp:β×β, p.1 ⊔ p.2) :=
rfl
lemma const_mul_eq_map [has_mul β] (f : α →ₛ β) (b : β) : const α b * f = f.map (λa, b * a) := rfl
instance [add_monoid β] : add_monoid (α →ₛ β) :=
{ add := (+), zero := 0,
add_assoc := assume f g h, ext (assume a, add_assoc _ _ _),
zero_add := assume f, ext (assume a, zero_add _),
add_zero := assume f, ext (assume a, add_zero _) }
instance [semiring β] [add_monoid β] : has_scalar β (α →ₛ β) := ⟨λb f, f.map (λa, b * a)⟩
instance [preorder β] : preorder (α →ₛ β) :=
{ le_refl := λf a, le_refl _,
le_trans := λf g h hfg hgh a, le_trans (hfg _) (hgh a),
.. simple_func.has_le }
instance [partial_order β] : partial_order (α →ₛ β) :=
{ le_antisymm := assume f g hfg hgf, ext $ assume a, le_antisymm (hfg a) (hgf a),
.. simple_func.preorder }
instance [order_bot β] : order_bot (α →ₛ β) :=
{ bot := const α ⊥, bot_le := λf a, bot_le, .. simple_func.partial_order }
instance [order_top β] : order_top (α →ₛ β) :=
{ top := const α⊤, le_top := λf a, le_top, .. simple_func.partial_order }
instance [semilattice_inf β] : semilattice_inf (α →ₛ β) :=
{ inf := (⊓),
inf_le_left := assume f g a, inf_le_left,
inf_le_right := assume f g a, inf_le_right,
le_inf := assume f g h hfh hgh a, le_inf (hfh a) (hgh a),
.. simple_func.partial_order }
instance [semilattice_sup β] : semilattice_sup (α →ₛ β) :=
{ sup := (⊔),
le_sup_left := assume f g a, le_sup_left,
le_sup_right := assume f g a, le_sup_right,
sup_le := assume f g h hfh hgh a, sup_le (hfh a) (hgh a),
.. simple_func.partial_order }
instance [semilattice_sup_bot β] : semilattice_sup_bot (α →ₛ β) :=
{ .. simple_func.lattice.semilattice_sup,.. simple_func.lattice.order_bot }
instance [lattice β] : lattice (α →ₛ β) :=
{ .. simple_func.lattice.semilattice_sup,.. simple_func.lattice.semilattice_inf }
instance [bounded_lattice β] : bounded_lattice (α →ₛ β) :=
{ .. simple_func.lattice.lattice, .. simple_func.lattice.order_bot, .. simple_func.lattice.order_top }
lemma finset_sup_apply [semilattice_sup_bot β] {f : γ → α →ₛ β} (s : finset γ) (a : α) :
s.sup f a = s.sup (λc, f c a) :=
begin
refine finset.induction_on s rfl _,
assume a s hs ih,
rw [finset.sup_insert, finset.sup_insert, sup_apply, ih]
end
section approx
section
variables [topological_space β] [semilattice_sup_bot β] [has_zero β]
def approx (i : ℕ → β) (f : α → β) (n : ℕ) : α →ₛ β :=
(finset.range n).sup (λk, restrict (const α (i k)) {a:α | i k ≤ f a})
lemma approx_apply [ordered_topology β] {i : ℕ → β} {f : α → β} {n : ℕ} (a : α)
(hf : _root_.measurable f) :
(approx i f n : α →ₛ β) a = (finset.range n).sup (λk, if i k ≤ f a then i k else 0) :=
begin
dsimp only [approx],
rw [finset_sup_apply],
congr,
funext k,
rw [restrict_apply],
refl,
exact (hf.preimage $ is_measurable_of_is_closed $ is_closed_ge' _)
end
lemma monotone_approx (i : ℕ → β) (f : α → β) : monotone (approx i f) :=
assume n m h, finset.sup_mono $ finset.range_subset.2 h
lemma approx_comp [ordered_topology β] [measurable_space γ]
{i : ℕ → β} {f : γ → β} {g : α → γ} {n : ℕ} (a : α)
(hf : _root_.measurable f) (hg : _root_.measurable g) :
(approx i (f ∘ g) n : α →ₛ β) a = (approx i f n : γ →ₛ β) (g a) :=
by rw [approx_apply _ hf, approx_apply _ (hf.comp hg)]
end
lemma supr_approx_apply [topological_space β] [complete_lattice β] [ordered_topology β] [has_zero β]
(i : ℕ → β) (f : α → β) (a : α) (hf : _root_.measurable f) (h_zero : (0 : β) = ⊥) :
(⨆n, (approx i f n : α →ₛ β) a) = (⨆k (h : i k ≤ f a), i k) :=
begin
refine le_antisymm (supr_le $ assume n, _) (supr_le $ assume k, supr_le $ assume hk, _),
{ rw [approx_apply a hf, h_zero],
refine finset.sup_le (assume k hk, _),
split_ifs,
exact le_supr_of_le k (le_supr _ h),
exact bot_le },
{ refine le_supr_of_le (k+1) _,
rw [approx_apply a hf],
have : k ∈ finset.range (k+1) := finset.mem_range.2 (nat.lt_succ_self _),
refine le_trans (le_of_eq _) (finset.le_sup this),
rw [if_pos hk] }
end
end approx
section eapprox
def ennreal_rat_embed (n : ℕ) : ennreal :=
nnreal.of_real ((encodable.decode ℚ n).get_or_else (0 : ℚ))
lemma ennreal_rat_embed_encode (q : ℚ) (hq : 0 ≤ q) :
ennreal_rat_embed (encodable.encode q) = nnreal.of_real q :=
by rw [ennreal_rat_embed, encodable.encodek]; refl
def eapprox : (α → ennreal) → ℕ → α →ₛ ennreal :=
approx ennreal_rat_embed
lemma monotone_eapprox (f : α → ennreal) : monotone (eapprox f) :=
monotone_approx _ f
lemma supr_eapprox_apply (f : α → ennreal) (hf : _root_.measurable f) (a : α) :
(⨆n, (eapprox f n : α →ₛ ennreal) a) = f a :=
begin
rw [eapprox, supr_approx_apply ennreal_rat_embed f a hf rfl],
refine le_antisymm (supr_le $ assume i, supr_le $ assume hi, hi) (le_of_not_gt _),
assume h,
rcases ennreal.lt_iff_exists_rat_btwn.1 h with ⟨q, hq, lt_q, q_lt⟩,
have : (nnreal.of_real q : ennreal) ≤
(⨆ (k : ℕ) (h : ennreal_rat_embed k ≤ f a), ennreal_rat_embed k),
{ refine le_supr_of_le (encodable.encode q) _,
rw [ennreal_rat_embed_encode q hq],
refine le_supr_of_le (le_of_lt q_lt) _,
exact le_refl _ },
exact lt_irrefl _ (lt_of_le_of_lt this lt_q)
end
lemma eapprox_comp [measurable_space γ] {f : γ → ennreal} {g : α → γ} {n : ℕ}
(hf : _root_.measurable f) (hg : _root_.measurable g) :
(eapprox (f ∘ g) n : α → ennreal) = (eapprox f n : γ →ₛ ennreal) ∘ g :=
funext $ assume a, approx_comp a hf hg
end eapprox
end measurable
section measure
variables [measure_space α]
def integral (f : α →ₛ ennreal) : ennreal :=
f.range.sum (λ x, x * volume (f ⁻¹' {x}))
-- TODO: slow simp proofs
lemma map_integral (g : β → ennreal) (f : α →ₛ β) :
(f.map g).integral = f.range.sum (λ x, g x * volume (f ⁻¹' {x})) :=
begin
simp only [integral, coe_map, range_map],
refine finset.sum_image' _ (assume b hb, _),
rcases mem_range.1 hb with ⟨a, rfl⟩,
let s' := f.range.filter (λb, g b = g (f a)),
have : g ∘ ⇑f ⁻¹' {g (f a)} = (⋃b∈s', ⇑f ⁻¹' {b}),
{ ext a',
simp,
split,
{ assume eq, exact ⟨⟨_, rfl⟩, eq⟩ },
{ rintros ⟨_, eq⟩, exact eq } },
calc g (f a) * volume (g ∘ ⇑f ⁻¹' {g (f a)}) = g (f a) * volume (⋃b∈s', ⇑f ⁻¹' {b}) : by rw [this]
... = g (f a) * s'.sum (λb, volume (f ⁻¹' {b})) :
begin
rw [volume_bUnion_finset],
{ simp [pairwise_on, (on)],
rintros b a₀ rfl eq₀ b a₁ rfl eq₁ ne a ⟨h₁, h₂⟩,
simp at h₁ h₂,
rw [← h₁, h₂] at ne,
exact ne rfl },
exact assume a ha, preimage_measurable _ _
end
... = s'.sum (λb, g (f a) * volume (f ⁻¹' {b})) : by rw [finset.mul_sum]
... = s'.sum (λb, g b * volume (f ⁻¹' {b})) : finset.sum_congr rfl $ by simp {contextual := tt}
end
lemma zero_integral : (0 : α →ₛ ennreal).integral = 0 :=
begin
refine (finset.sum_eq_zero_iff_of_nonneg $ assume _ _, zero_le _).2 _,
assume r hr, rcases mem_range.1 hr with ⟨a, rfl⟩,
exact zero_mul _
end
lemma add_integral (f g : α →ₛ ennreal) : (f + g).integral = f.integral + g.integral :=
calc (f + g).integral =
(pair f g).range.sum (λx, x.1 * volume (pair f g ⁻¹' {x}) + x.2 * volume (pair f g ⁻¹' {x})) :
by rw [add_eq_map₂, map_integral]; exact finset.sum_congr rfl (assume a ha, add_mul _ _ _)
... = (pair f g).range.sum (λx, x.1 * volume (pair f g ⁻¹' {x})) +
(pair f g).range.sum (λx, x.2 * volume (pair f g ⁻¹' {x})) : by rw [finset.sum_add_distrib]
... = ((pair f g).map prod.fst).integral + ((pair f g).map prod.snd).integral :
by rw [map_integral, map_integral]
... = integral f + integral g : rfl
lemma const_mul_integral (f : α →ₛ ennreal) (x : ennreal) :
(const α x * f).integral = x * f.integral :=
calc (f.map (λa, x * a)).integral = f.range.sum (λr, x * r * volume (f ⁻¹' {r})) :
by rw [map_integral]
... = f.range.sum (λr, x * (r * volume (f ⁻¹' {r}))) :
finset.sum_congr rfl (assume a ha, mul_assoc _ _ _)
... = x * f.integral :
finset.mul_sum.symm
lemma mem_restrict_range [has_zero β] {r : β} {s : set α} {f : α →ₛ β} (hs : is_measurable s) :
r ∈ (restrict f s).range ↔ (r = 0 ∧ s ≠ univ) ∨ (∃a∈s, f a = r) :=
begin
simp only [mem_range, restrict_apply, hs],
split,
{ rintros ⟨a, ha⟩,
split_ifs at ha,
{ exact or.inr ⟨a, h, ha⟩ },
{ exact or.inl ⟨ha.symm, assume eq, h $ eq.symm ▸ trivial⟩ } },
{ rintros (⟨rfl, h⟩ | ⟨a, ha, rfl⟩),
{ have : ¬ ∀a, a ∈ s := assume this, h $ eq_univ_of_forall this,
rcases not_forall.1 this with ⟨a, ha⟩,
refine ⟨a, _⟩,
rw [if_neg ha] },
{ refine ⟨a, _⟩,
rw [if_pos ha] } }
end
lemma restrict_preimage' {r : ennreal} {s : set α}
(f : α →ₛ ennreal) (hs : is_measurable s) (hr : r ≠ 0) :
(restrict f s) ⁻¹' {r} = (f ⁻¹' {r} ∩ s) :=
begin
ext a,
by_cases a ∈ s; simp [hs, h, hr.symm]
end
lemma restrict_integral (f : α →ₛ ennreal) (s : set α) (hs : is_measurable s) :
(restrict f s).integral = f.range.sum (λr, r * volume (f ⁻¹' {r} ∩ s)) :=
begin
refine finset.sum_bij_ne_zero (λr _ _, r) _ _ _ _,
{ assume r hr,
rcases (mem_restrict_range hs).1 hr with ⟨rfl, h⟩ | ⟨a, ha, rfl⟩,
{ simp },
{ assume _, exact mem_range.2 ⟨a, rfl⟩ } },
{ assume a b _ _ _ _ h, exact h },
{ assume r hr,
by_cases r0 : r = 0, { simp [r0] },
assume h0,
rcases mem_range.1 hr with ⟨a, rfl⟩,
have : f ⁻¹' {f a} ∩ s ≠ ∅,
{ assume h, simpa [h] using h0 },
rcases ne_empty_iff_exists_mem.1 this with ⟨a', eq', ha'⟩,
refine ⟨_, (mem_restrict_range hs).2 (or.inr ⟨a', ha', _⟩), _, rfl⟩,
{ simpa using eq' },
{ rwa [restrict_preimage' _ hs r0] } },
{ assume r hr ne,
by_cases r = 0, { simp [h] },
rw [restrict_preimage' _ hs h] }
end
lemma restrict_const_integral (c : ennreal) (s : set α) (hs : is_measurable s) :
(restrict (const α c) s).integral = c * volume s :=
have (@const α ennreal _ c) ⁻¹' {c} = univ,
begin
refine eq_univ_of_forall (assume a, _),
simp,
end,
calc (restrict (const α c) s).integral = c * volume ((const α c) ⁻¹' {c} ∩ s) :
begin
rw [restrict_integral (const α c) s hs],
refine finset.sum_eq_single c _ _,
{ assume r hr, rcases mem_range.1 hr with ⟨a, rfl⟩, contradiction },
{ by_cases nonempty α,
{ assume ne,
rcases h with ⟨a⟩,
exfalso,
exact ne (mem_range.2 ⟨a, rfl⟩) },
{ assume empty,
have : (@const α ennreal _ c) ⁻¹' {c} ∩ s = ∅,
{ ext a, exfalso, exact h ⟨a⟩ },
simp only [this, volume_empty, mul_zero] } }
end
... = c * volume s : by rw [this, univ_inter]
lemma integral_sup_le (f g : α →ₛ ennreal) : f.integral ⊔ g.integral ≤ (f ⊔ g).integral :=
calc f.integral ⊔ g.integral =
((pair f g).map prod.fst).integral ⊔ ((pair f g).map prod.snd).integral : rfl
... ≤ (pair f g).range.sum (λx, (x.1 ⊔ x.2) * volume (pair f g ⁻¹' {x})) :
begin
rw [map_integral, map_integral],
refine sup_le _ _;
refine finset.sum_le_sum (λ a _, canonically_ordered_semiring.mul_le_mul _ (le_refl _)),
exact le_sup_left,
exact le_sup_right
end
... = (f ⊔ g).integral : by rw [sup_eq_map₂, map_integral]
lemma integral_le_integral (f g : α →ₛ ennreal) (h : f ≤ g) : f.integral ≤ g.integral :=
calc f.integral ≤ f.integral ⊔ g.integral : le_sup_left
... ≤ (f ⊔ g).integral : integral_sup_le _ _
... = g.integral : by rw [sup_of_le_right h]
lemma integral_congr (f g : α →ₛ ennreal) (h : {a | f a = g a} ∈ (@measure_space.μ α _).a_e) :
f.integral = g.integral :=
show ((pair f g).map prod.fst).integral = ((pair f g).map prod.snd).integral, from
begin
rw [map_integral, map_integral],
refine finset.sum_congr rfl (assume p hp, _),
rcases mem_range.1 hp with ⟨a, rfl⟩,
by_cases eq : f a = g a,
{ dsimp only [pair_apply], rw eq },
{ have : volume ((pair f g) ⁻¹' {(f a, g a)}) = 0,
{ refine volume_mono_null (assume a' ha', _) h,
simp at ha',
show f a' ≠ g a',
rwa [ha'.1, ha'.2] },
simp [this] }
end
lemma integral_map {β} [measure_space β] (f : α →ₛ ennreal) (g : β →ₛ ennreal)
(m : α → β) (hm : _root_.measurable m) (eq : ∀a:α, f a = g (m a))
(h : ∀s:set β, is_measurable s → volume s = volume (m ⁻¹' s)) :
f.integral = g.integral :=
have f_eq : (f : α → ennreal) = g ∘ m := funext eq,
have vol_f : ∀r, volume (f ⁻¹' {r}) = volume (g ⁻¹' {r}),
by { assume r, rw [h, f_eq, preimage_comp], exact measurable_sn _ _ },
begin
simp [integral, vol_f],
refine finset.sum_subset _ _,
{ simp [finset.subset_iff, f_eq],
rintros r a rfl, exact ⟨_, rfl⟩ },
{ assume r hrg hrf,
rw [simple_func.mem_range, not_exists] at hrf,
have : f ⁻¹' {r} = ∅ := set.eq_empty_of_subset_empty (assume a, by simpa using hrf a),
simp [(vol_f _).symm, this] }
end
end measure
end simple_func
section lintegral
open simple_func
variable [measure_space α]
/-- The lower Lebesgue integral -/
def lintegral (f : α → ennreal) : ennreal :=
⨆ (s : α →ₛ ennreal) (hf : f ≥ s), s.integral
notation `∫⁻` binders `, ` r:(scoped f, lintegral f) := r
theorem simple_func.lintegral_eq_integral (f : α →ₛ ennreal) : (∫⁻ a, f a) = f.integral :=
le_antisymm
(supr_le $ assume s, supr_le $ assume hs, integral_le_integral _ _ hs)
(le_supr_of_le f $ le_supr_of_le (le_refl f) $ le_refl _)
lemma lintegral_le_lintegral (f g : α → ennreal) (h : f ≤ g) : (∫⁻ a, f a) ≤ (∫⁻ a, g a) :=
supr_le_supr $ assume s, supr_le $ assume hs, le_supr_of_le (le_trans hs h) (le_refl _)
lemma lintegral_eq_nnreal (f : α → ennreal) :
(∫⁻ a, f a) =
(⨆ (s : α →ₛ nnreal) (hf : f ≥ s.map (coe : nnreal → ennreal)), (s.map (coe : nnreal → ennreal)).integral) :=
begin
let c : nnreal → ennreal := coe,
refine le_antisymm
(supr_le $ assume s, supr_le $ assume hs, _)
(supr_le $ assume s, supr_le $ assume hs, le_supr_of_le (s.map c) $ le_supr _ hs),
by_cases {a | s a ≠ ⊤} ∈ (@measure_space.μ α _).a_e,
{ have : f ≥ (s.map ennreal.to_nnreal).map c :=
le_trans (assume a, ennreal.coe_to_nnreal_le_self) hs,
refine le_supr_of_le (s.map ennreal.to_nnreal) (le_supr_of_le this (le_of_eq $ integral_congr _ _ _)),
exact filter.mem_sets_of_superset h (assume a ha, (ennreal.coe_to_nnreal ha).symm) },
{ have h_vol_s : volume {a : α | s a = ⊤} ≠ 0,
{ simp [measure.a_e, set.compl_set_of] at h, assumption },
let n : ℕ → (α →ₛ nnreal) := λn, restrict (const α (n : nnreal)) (s ⁻¹' {⊤}),
have n_le_s : ∀i, (n i).map c ≤ s,
{ assume i a,
dsimp [n, c],
rw [restrict_apply _ (s.preimage_measurable _)],
split_ifs with ha,
{ simp at ha, exact ha.symm ▸ le_top },
{ exact zero_le _ } },
have approx_s : ∀ (i : ℕ), ↑i * volume {a : α | s a = ⊤} ≤ integral (map c (n i)),
{ assume i,
have : {a : α | s a = ⊤} = s ⁻¹' {⊤}, { ext a, simp },
rw [this, ← restrict_const_integral _ _ (s.preimage_measurable _)],
{ refine integral_le_integral _ _ (assume a, le_of_eq _),
simp [n, c, restrict_apply, s.preimage_measurable],
split_ifs; simp [ennreal.coe_nat] },
},
calc s.integral ≤ ⊤ : le_top
... = (⨆i:ℕ, (i : ennreal) * volume {a | s a = ⊤}) :
by rw [← ennreal.supr_mul, ennreal.supr_coe_nat, ennreal.top_mul, if_neg h_vol_s]
... ≤ (⨆i, ((n i).map c).integral) : supr_le_supr approx_s
... ≤ ⨆ (s : α →ₛ nnreal) (hf : f ≥ s.map c), (s.map c).integral :
have ∀i, ((n i).map c : α → ennreal) ≤ f := assume i, le_trans (n_le_s i) hs,
(supr_le $ assume i, le_supr_of_le (n i) (le_supr (λh, ((n i).map c).integral) (this i))) }
end
/-- Monotone convergence theorem -- somtimes called Beppo-Levi convergence.
See `lintegral_supr_directed` for a more general form. -/
theorem lintegral_supr
{f : ℕ → α → ennreal} (hf : ∀n, measurable (f n)) (h_mono : monotone f) :
(∫⁻ a, ⨆n, f n a) = (⨆n, ∫⁻ a, f n a) :=
let c : nnreal → ennreal := coe in
let F (a:α) := ⨆n, f n a in
have hF : measurable F := measurable.supr hf,
show (∫⁻ a, F a) = (⨆n, ∫⁻ a, f n a),
begin
refine le_antisymm _ _,
{ rw [lintegral_eq_nnreal],
refine supr_le (assume s, supr_le (assume hsf, _)),
refine ennreal.le_of_forall_lt_one_mul_lt (assume a ha, _),
rcases ennreal.lt_iff_exists_coe.1 ha with ⟨r, rfl, ha⟩,
have ha : r < 1 := ennreal.coe_lt_coe.1 ha,
let rs := s.map (λa, r * a),
have eq_rs : (const α r : α →ₛ ennreal) * map c s = rs.map c,
{ ext1 a, exact ennreal.coe_mul.symm },
have eq : ∀p, (rs.map c) ⁻¹' {p} = (⋃n, (rs.map c) ⁻¹' {p} ∩ {a | p ≤ f n a}),
{ assume p,
rw [← inter_Union, ← inter_univ ((map c rs) ⁻¹' {p})] {occs := occurrences.pos [1]},
refine set.ext (assume x, and_congr_right $ assume hx, (true_iff _).2 _),
by_cases p_eq : p = 0, { simp [p_eq] },
simp at hx, subst hx,
have : r * s x ≠ 0, { rwa [(≠), ← ennreal.coe_eq_zero] },
have : s x ≠ 0, { refine mt _ this, assume h, rw [h, mul_zero] },
have : (rs.map c) x < ⨆ (n : ℕ), f n x,
{ refine lt_of_lt_of_le (ennreal.coe_lt_coe.2 (_)) (hsf x),
suffices : r * s x < 1 * s x, simpa [rs],
exact mul_lt_mul_of_pos_right ha (zero_lt_iff_ne_zero.2 this) },
rcases lt_supr_iff.1 this with ⟨i, hi⟩,
exact mem_Union.2 ⟨i, le_of_lt hi⟩ },
have mono : ∀r:ennreal, monotone (λn, (rs.map c) ⁻¹' {r} ∩ {a | r ≤ f n a}),
{ assume r i j h,
refine inter_subset_inter (subset.refl _) _,
assume x hx, exact le_trans hx (h_mono h x) },
have h_meas : ∀n, is_measurable {a : α | ⇑(map c rs) a ≤ f n a} :=
assume n, measurable_le (simple_func.measurable _) (hf n),
calc (r:ennreal) * integral (s.map c) = (rs.map c).range.sum (λr, r * volume ((rs.map c) ⁻¹' {r})) :
by rw [← const_mul_integral, integral, eq_rs]
... ≤ (rs.map c).range.sum (λr, r * volume (⋃n, (rs.map c) ⁻¹' {r} ∩ {a | r ≤ f n a})) :
le_of_eq (finset.sum_congr rfl $ assume x hx, by rw ← eq)
... ≤ (rs.map c).range.sum (λr, (⨆n, r * volume ((rs.map c) ⁻¹' {r} ∩ {a | r ≤ f n a}))) :
le_of_eq (finset.sum_congr rfl $ assume x hx,
begin
rw [volume, measure_Union_eq_supr_nat _ (mono x), ennreal.mul_supr],
{ assume i,
refine is_measurable.inter ((rs.map c).preimage_measurable _) _,
refine (hf i).preimage _,
exact is_measurable_of_is_closed (is_closed_ge' _) }
end)
... ≤ ⨆n, (rs.map c).range.sum (λr, r * volume ((rs.map c) ⁻¹' {r} ∩ {a | r ≤ f n a})) :
begin
refine le_of_eq _,
rw [ennreal.finset_sum_supr_nat],
assume p i j h,
exact canonically_ordered_semiring.mul_le_mul (le_refl _) (volume_mono $ mono p h)
end
... ≤ (⨆n:ℕ, ((rs.map c).restrict {a | (rs.map c) a ≤ f n a}).integral) :
begin
refine supr_le_supr (assume n, _),
rw [restrict_integral _ _ (h_meas n)],
{ refine le_of_eq (finset.sum_congr rfl $ assume r hr, _),
congr' 2,
ext a,
refine and_congr_right _,
simp {contextual := tt} }
end
... ≤ (⨆n, ∫⁻ a, f n a) :
begin
refine supr_le_supr (assume n, _),
rw [← simple_func.lintegral_eq_integral],
refine lintegral_le_lintegral _ _ (assume a, _),
dsimp,
rw [restrict_apply],
split_ifs; simp, simpa using h,
exact h_meas n
end },
{ exact supr_le (assume n, lintegral_le_lintegral _ _ $ assume a, le_supr _ n) }
end
lemma lintegral_eq_supr_eapprox_integral {f : α → ennreal} (hf : measurable f) :
(∫⁻ a, f a) = (⨆n, (eapprox f n).integral) :=
calc (∫⁻ a, f a) = (∫⁻ a, ⨆n, (eapprox f n : α → ennreal) a) :
by congr; ext a; rw [supr_eapprox_apply f hf]
... = (⨆n, ∫⁻ a, (eapprox f n : α → ennreal) a) :
begin
rw [lintegral_supr],
{ assume n, exact (eapprox f n).measurable },
{ assume i j h, exact (monotone_eapprox f h) }
end
... = (⨆n, (eapprox f n).integral) : by congr; ext n; rw [(eapprox f n).lintegral_eq_integral]
lemma lintegral_add {f g : α → ennreal} (hf : measurable f) (hg : measurable g) :
(∫⁻ a, f a + g a) = (∫⁻ a, f a) + (∫⁻ a, g a) :=
calc (∫⁻ a, f a + g a) =
(∫⁻ a, (⨆n, (eapprox f n : α → ennreal) a) + (⨆n, (eapprox g n : α → ennreal) a)) :
by congr; funext a; rw [supr_eapprox_apply f hf, supr_eapprox_apply g hg]
... = (∫⁻ a, (⨆n, (eapprox f n + eapprox g n : α → ennreal) a)) :
begin
congr, funext a,
rw [ennreal.supr_add_supr_of_monotone], { refl },
{ assume i j h, exact monotone_eapprox _ h a },
{ assume i j h, exact monotone_eapprox _ h a },
end
... = (⨆n, (eapprox f n).integral + (eapprox g n).integral) :
begin
rw [lintegral_supr],
{ congr, funext n, rw [← simple_func.add_integral, ← simple_func.lintegral_eq_integral], refl },
{ assume n, exact measurable_add (eapprox f n).measurable (eapprox g n).measurable },
{ assume i j h a, exact add_le_add' (monotone_eapprox _ h _) (monotone_eapprox _ h _) }
end
... = (⨆n, (eapprox f n).integral) + (⨆n, (eapprox g n).integral) :
by refine (ennreal.supr_add_supr_of_monotone _ _).symm;
{ assume i j h, exact simple_func.integral_le_integral _ _ (monotone_eapprox _ h) }
... = (∫⁻ a, f a) + (∫⁻ a, g a) :
by rw [lintegral_eq_supr_eapprox_integral hf, lintegral_eq_supr_eapprox_integral hg]
@[simp] lemma lintegral_zero : (∫⁻ a:α, 0) = 0 :=
show (∫⁻ a:α, (0 : α →ₛ ennreal) a) = 0, by rw [simple_func.lintegral_eq_integral, zero_integral]
lemma lintegral_finset_sum (s : finset β) {f : β → α → ennreal} (hf : ∀b, measurable (f b)) :
(∫⁻ a, s.sum (λb, f b a)) = s.sum (λb, ∫⁻ a, f b a) :=
begin
refine finset.induction_on s _ _,
{ simp },
{ assume a s has ih,
simp [has],
rw [lintegral_add (hf _) (measurable_finset_sum s hf), ih] }
end
lemma lintegral_const_mul (r : ennreal) {f : α → ennreal} (hf : measurable f) :
(∫⁻ a, r * f a) = r * (∫⁻ a, f a) :=
calc (∫⁻ a, r * f a) = (∫⁻ a, (⨆n, (const α r * eapprox f n) a)) :
by congr; funext a; rw [← supr_eapprox_apply f hf, ennreal.mul_supr]; refl
... = (⨆n, r * (eapprox f n).integral) :
begin
rw [lintegral_supr],
{ congr, funext n, rw [← simple_func.const_mul_integral, ← simple_func.lintegral_eq_integral] },
{ assume n, exact simple_func.measurable _ },
{ assume i j h a, exact canonically_ordered_semiring.mul_le_mul (le_refl _)
(monotone_eapprox _ h _) }
end
... = r * (∫⁻ a, f a) : by rw [← ennreal.mul_supr, lintegral_eq_supr_eapprox_integral hf]
lemma lintegral_supr_const (r : ennreal) {s : set α} (hs : is_measurable s) :
(∫⁻ a, ⨆(h : a ∈ s), r) = r * volume s :=
begin
rw [← restrict_const_integral r s hs, ← (restrict (const α r) s).lintegral_eq_integral],
congr; ext a; by_cases a ∈ s; simp [h, hs]
end
lemma lintegral_le_lintegral_ae {f g : α → ennreal} (h : ∀ₘ a, f a ≤ g a) :
(∫⁻ a, f a) ≤ (∫⁻ a, g a) :=
begin
rcases exists_is_measurable_superset_of_measure_eq_zero h with ⟨t, hts, ht, ht0⟩,
have : - t ∈ (@measure_space.μ α _).a_e,
{ rw [measure.mem_a_e_iff, lattice.neg_neg, ht0] },
refine (supr_le $ assume s, supr_le $ assume hfs,
le_supr_of_le (s.restrict (- t)) $ le_supr_of_le _ _),
{ assume a,
by_cases a ∈ t;
simp [h, simple_func.restrict_apply, ht.compl],
exact le_trans (hfs a) (by_contradiction $ assume hnfg, h (hts hnfg)) },
{ refine le_of_eq (s.integral_congr _ _),
filter_upwards [this],
refine assume a hnt, _,
by_cases hat : a ∈ t; simp [hat, ht.compl],
exact (hnt hat).elim }
end
lemma lintegral_congr_ae {f g : α → ennreal} (h : ∀ₘ a, f a = g a) :
(∫⁻ a, f a) = (∫⁻ a, g a) :=
le_antisymm
(lintegral_le_lintegral_ae $ by filter_upwards [h] assume a h, le_of_eq h)
(lintegral_le_lintegral_ae $ by filter_upwards [h] assume a h, le_of_eq h.symm)
lemma lintegral_eq_zero_iff {f : α → ennreal} (hf : measurable f) :
lintegral f = 0 ↔ (∀ₘ a, f a = 0) :=
begin
refine iff.intro (assume h, _) (assume h, _),
{ have : ∀n:ℕ, ∀ₘ a, f a < n⁻¹,
{ assume n,
have : is_measurable {a : α | f a ≥ n⁻¹ },
{ exact hf _ (is_measurable_of_is_closed $ is_closed_ge' _) },
have : (n : ennreal)⁻¹ * volume {a | f a ≥ n⁻¹ } = 0,
{ rw [← simple_func.restrict_const_integral _ _ this, ← le_zero_iff_eq,
← simple_func.lintegral_eq_integral],
refine le_trans (lintegral_le_lintegral _ _ _) (le_of_eq h),
assume a, by_cases h : (n : ennreal)⁻¹ ≤ f a; simp [h, (≥), this] },
rw [ennreal.mul_eq_zero, ennreal.inv_eq_zero] at this,
simpa [ennreal.nat_ne_top, all_ae_iff] using this },
filter_upwards [all_ae_all_iff.2 this],
dsimp,
assume a ha,
by_contradiction h,
rcases ennreal.exists_inv_nat_lt h with ⟨n, hn⟩,
exact (lt_irrefl _ $ lt_trans hn $ ha n).elim },
{ calc lintegral f = lintegral (λa:α, 0) : lintegral_congr_ae h
... = 0 : lintegral_zero }
end
/-- Weaker version of the monotone convergence theorem-/
lemma lintegral_supr_ae {f : ℕ → α → ennreal} (hf : ∀n, measurable (f n))
(h_mono : ∀n, ∀ₘ a, f n a ≤ f n.succ a) :
(∫⁻ a, ⨆n, f n a) = (⨆n, ∫⁻ a, f n a) :=
let ⟨s, hs⟩ := exists_is_measurable_superset_of_measure_eq_zero
(all_ae_iff.1 (all_ae_all_iff.2 h_mono)) in
let g := λ n a, if a ∈ s then 0 else f n a in
have g_eq_f : ∀ₘ a, ∀n, g n a = f n a,
begin
have := hs.2.2, rw [← compl_compl s] at this,
filter_upwards [(measure.mem_a_e_iff (-s)).2 this] assume a ha n, if_neg ha
end,
calc
(∫⁻ a, ⨆n, f n a) = (∫⁻ a, ⨆n, g n a) :
lintegral_congr_ae
begin
filter_upwards [g_eq_f], assume a ha, congr, funext, exact (ha n).symm
end
... = ⨆n, (∫⁻ a, g n a) :
lintegral_supr
(assume n, measurable.if hs.2.1 measurable_const (hf n))
(monotone_of_monotone_nat $ assume n a, classical.by_cases
(assume h : a ∈ s, by simp [g, if_pos h])
(assume h : a ∉ s,
begin
simp only [g, if_neg h], have := hs.1, rw subset_def at this, have := mt (this a) h,
simp only [not_not, mem_set_of_eq] at this, exact this n
end))
... = ⨆n, (∫⁻ a, f n a) :
begin
congr, funext, apply lintegral_congr_ae, filter_upwards [g_eq_f] assume a ha, ha n
end
lemma lintegral_sub {f g : α → ennreal} (hf : measurable f) (hg : measurable g)
(hg_fin : lintegral g < ⊤) (h_le : ∀ₘ a, g a ≤ f a) :
(∫⁻ a, f a - g a) = (∫⁻ a, f a) - (∫⁻ a, g a) :=
begin
rw [← ennreal.add_right_inj hg_fin,
ennreal.sub_add_cancel_of_le (lintegral_le_lintegral_ae h_le),
← lintegral_add (ennreal.measurable_sub hf hg) hg],
show (∫⁻ (a : α), f a - g a + g a) = ∫⁻ (a : α), f a,
apply lintegral_congr_ae, filter_upwards [h_le], simp only [add_comm, mem_set_of_eq],
assume a ha, exact ennreal.add_sub_cancel_of_le ha
end
/-- Monotone convergence theorem for nonincreasing sequences of functions -/
lemma lintegral_infi_ae
{f : ℕ → α → ennreal} (h_meas : ∀n, measurable (f n))
(h_mono : ∀n:ℕ, ∀ₘ a, f n.succ a ≤ f n a) (h_fin : lintegral (f 0) < ⊤) :
(∫⁻ a, ⨅n, f n a) = (⨅n, ∫⁻ a, f n a) :=
have fn_le_f0 : (∫⁻ a, ⨅n, f n a) ≤ lintegral (f 0), from
lintegral_le_lintegral _ _ (assume a, infi_le_of_le 0 (le_refl _)),
have fn_le_f0' : (⨅n, ∫⁻ a, f n a) ≤ lintegral (f 0), from infi_le_of_le 0 (le_refl _),
(ennreal.sub_left_inj h_fin fn_le_f0 fn_le_f0').1 $
show lintegral (f 0) - (∫⁻ a, ⨅n, f n a) = lintegral (f 0) - (⨅n, ∫⁻ a, f n a), from
calc
lintegral (f 0) - (∫⁻ a, ⨅n, f n a) = ∫⁻ a, f 0 a - ⨅n, f n a :
(lintegral_sub (h_meas 0) (measurable.infi h_meas)
(calc
(∫⁻ a, ⨅n, f n a) ≤ lintegral (f 0) : lintegral_le_lintegral _ _
(assume a, infi_le _ _)
... < ⊤ : h_fin )
(all_ae_of_all $ assume a, infi_le _ _)).symm
... = ∫⁻ a, ⨆n, f 0 a - f n a : congr rfl (funext (assume a, ennreal.sub_infi))
... = ⨆n, ∫⁻ a, f 0 a - f n a :
lintegral_supr_ae
(assume n, ennreal.measurable_sub (h_meas 0) (h_meas n))
(assume n, by
filter_upwards [h_mono n] assume a ha, ennreal.sub_le_sub (le_refl _) ha)
... = ⨆n, lintegral (f 0) - ∫⁻ a, f n a :
have h_mono : ∀ₘ a, ∀n:ℕ, f n.succ a ≤ f n a := all_ae_all_iff.2 h_mono,
have h_mono : ∀n, ∀ₘa, f n a ≤ f 0 a := assume n,
begin
filter_upwards [h_mono], simp only [mem_set_of_eq], assume a, assume h, induction n with n ih,
{exact le_refl _}, {exact le_trans (h n) ih}
end,
congr rfl (funext $ assume n, lintegral_sub (h_meas _) (h_meas _)
(calc
(∫⁻ a, f n a) ≤ ∫⁻ a, f 0 a : lintegral_le_lintegral_ae $ h_mono n
... < ⊤ : h_fin)
(h_mono n))
... = lintegral (f 0) - (⨅n, ∫⁻ a, f n a) : ennreal.sub_infi.symm
/-- Known as Fatou's lemma -/
lemma lintegral_liminf_le {f : ℕ → α → ennreal} (h_meas : ∀n, measurable (f n)) :
(∫⁻ a, liminf at_top (λ n, f n a)) ≤ liminf at_top (λ n, lintegral (f n)) :=
calc
(∫⁻ a, liminf at_top (λ n, f n a)) = ∫⁻ a, ⨆n:ℕ, ⨅i≥n, f i a :
congr rfl (funext (assume a, liminf_eq_supr_infi_of_nat))
... = ⨆n:ℕ, ∫⁻ a, ⨅i≥n, f i a :
lintegral_supr
begin
assume n, apply measurable.infi, assume i, by_cases h : i ≥ n,
{convert h_meas i, simp [h]},
{convert measurable_const, simp [h]}
end
begin
assume n m hnm a, simp only [le_infi_iff], assume i hi,
refine infi_le_of_le i (infi_le_of_le (le_trans hnm hi) (le_refl _))
end
... ≤ ⨆n:ℕ, ⨅i≥n, lintegral (f i) :
supr_le_supr $ assume n, le_infi $
assume i, le_infi $ assume hi, lintegral_le_lintegral _ _
$ assume a, infi_le_of_le i $ infi_le_of_le hi $ le_refl _
... = liminf at_top (λ n, lintegral (f n)) : liminf_eq_supr_infi_of_nat.symm
lemma limsup_lintegral_le {f : ℕ → α → ennreal} {g : α → ennreal}
(hf_meas : ∀ n, measurable (f n)) (hg_meas : measurable g)
(h_bound : ∀n, ∀ₘa, f n a ≤ g a) (h_fin : lintegral g < ⊤) :
limsup at_top (λn, lintegral (f n)) ≤ ∫⁻ a, limsup at_top (λn, f n a) :=
calc
limsup at_top (λn, lintegral (f n)) = ⨅n:ℕ, ⨆i≥n, lintegral (f i) :
limsup_eq_infi_supr_of_nat
... ≤ ⨅n:ℕ, ∫⁻ a, ⨆i≥n, f i a :
infi_le_infi $ assume n, supr_le $ assume i, supr_le $ assume hi,
lintegral_le_lintegral _ _ $ assume a, le_supr_of_le i $ le_supr_of_le hi (le_refl _)
... = ∫⁻ a, ⨅n:ℕ, ⨆i≥n, f i a :
(lintegral_infi_ae
(assume n,
@measurable.supr _ _ _ _ _ _ _ _ _ (λ i a, supr (λ (h : i ≥ n), f i a))
(assume i, measurable.supr_Prop (hf_meas i)))
(assume n, all_ae_of_all $ assume a,
begin
simp only [supr_le_iff], assume i hi, refine le_supr_of_le i _,
rw [supr_pos _], exact le_refl _, exact nat.le_of_succ_le hi
end )
(lt_of_le_of_lt
(lintegral_le_lintegral_ae
begin
filter_upwards [all_ae_all_iff.2 h_bound],
simp only [supr_le_iff, mem_set_of_eq],
assume a ha i hi, exact ha i
end )
h_fin)).symm
... = ∫⁻ a, limsup at_top (λn, f n a) :
lintegral_congr_ae $ all_ae_of_all $ assume a, limsup_eq_infi_supr_of_nat.symm
/-- Dominated convergence theorem for nonnegative functions -/
lemma dominated_convergence_nn
{F : ℕ → α → ennreal} {f : α → ennreal} {g : α → ennreal}
(hF_meas : ∀n, measurable (F n)) (hf_meas : measurable f) (hg_meas : measurable g)
(h_bound : ∀n, ∀ₘ a, F n a ≤ g a)
(h_fin : lintegral g < ⊤)
(h_lim : ∀ₘ a, tendsto (λ n, F n a) at_top (nhds (f a))) :
tendsto (λn, lintegral (F n)) at_top (nhds (lintegral f)) :=
begin
have limsup_le_lintegral :=
calc
limsup at_top (λ (n : ℕ), lintegral (F n)) ≤ ∫⁻ (a : α), limsup at_top (λn, F n a) :
limsup_lintegral_le hF_meas hg_meas h_bound h_fin
... = lintegral f :
lintegral_congr_ae $
by filter_upwards [h_lim] assume a h, limsup_eq_of_tendsto at_top_ne_bot h,
have lintegral_le_liminf :=
calc
lintegral f = ∫⁻ (a : α), liminf at_top (λ (n : ℕ), F n a) :
lintegral_congr_ae $
by filter_upwards [h_lim] assume a h, (liminf_eq_of_tendsto at_top_ne_bot h).symm
... ≤ liminf at_top (λ n, lintegral (F n)) :
lintegral_liminf_le hF_meas,
have liminf_eq_limsup :=
le_antisymm
(liminf_le_limsup (map_ne_bot at_top_ne_bot))
(le_trans limsup_le_lintegral lintegral_le_liminf),
have liminf_eq_lintegral : liminf at_top (λ n, lintegral (F n)) = lintegral f :=
le_antisymm (by convert limsup_le_lintegral) lintegral_le_liminf,
have limsup_eq_lintegral : limsup at_top (λ n, lintegral (F n)) = lintegral f :=
le_antisymm
limsup_le_lintegral
begin convert lintegral_le_liminf, exact liminf_eq_limsup.symm end,
exact tendsto_of_liminf_eq_limsup ⟨liminf_eq_lintegral, limsup_eq_lintegral⟩
end
section
open encodable
/-- Monotone convergence for a suprema over a directed family and indexed by an encodable type -/
theorem lintegral_supr_directed [encodable β] {f : β → α → ennreal}
(hf : ∀b, measurable (f b)) (h_directed : directed (≤) f) :
(∫⁻ a, ⨆b, f b a) = (⨆b, ∫⁻ a, f b a) :=
begin
by_cases hβ : ¬ nonempty β,
{ have : ∀f : β → ennreal, (⨆(b : β), f b) = 0 :=
assume f, supr_eq_bot.2 (assume b, (hβ ⟨b⟩).elim),
simp [this] },
cases of_not_not hβ with b,
haveI iβ : inhabited β := ⟨b⟩, clear hβ b,
have : ∀a, (⨆ b, f b a) = (⨆ n, f (sequence_of_directed (≤) f h_directed n) a),
{ assume a,
refine le_antisymm (supr_le $ assume b, _) (supr_le $ assume n, le_supr (λn, f n a) _),
exact le_supr_of_le (encode b + 1) (le_sequence_of_directed f h_directed b a) },
calc (∫⁻ a, ⨆ b, f b a) = (∫⁻ a, ⨆ n, f (sequence_of_directed (≤) f h_directed n) a) :
by simp only [this]
... = (⨆ n, ∫⁻ a, f (sequence_of_directed (≤) f h_directed n) a) :
lintegral_supr (assume n, hf _) (monotone_sequence_of_directed f h_directed)
... = (⨆ b, ∫⁻ a, f b a) :
begin
refine le_antisymm (supr_le $ assume n, _) (supr_le $ assume b, _),
{ exact le_supr (λb, lintegral (f b)) _ },
{ exact le_supr_of_le (encode b + 1)
(lintegral_le_lintegral _ _ $ le_sequence_of_directed f h_directed b) }
end
end
end
lemma lintegral_tsum [encodable β] {f : β → α → ennreal} (hf : ∀i, measurable (f i)) :
(∫⁻ a, ∑ i, f i a) = (∑ i, ∫⁻ a, f i a) :=
begin
simp only [ennreal.tsum_eq_supr_sum],
rw [lintegral_supr_directed],
{ simp [lintegral_finset_sum _ hf] },
{ assume b, exact measurable_finset_sum _ hf },
{ assume s t,
use [s ∪ t],
split,
exact assume a, finset.sum_le_sum_of_subset (finset.subset_union_left _ _),
exact assume a, finset.sum_le_sum_of_subset (finset.subset_union_right _ _) }
end
end lintegral
namespace measure
def integral [measurable_space α] (m : measure α) (f : α → ennreal) : ennreal :=
@lintegral α { μ := m } f
variables [measurable_space α] {m : measure α}
@[simp] lemma integral_zero : m.integral (λa, 0) = 0 := @lintegral_zero α { μ := m }
lemma integral_map [measurable_space β] {f : β → ennreal} {g : α → β}
(hf : measurable f) (hg : measurable g) : (map g m).integral f = m.integral (f ∘ g) :=
begin
rw [integral, integral, lintegral_eq_supr_eapprox_integral, lintegral_eq_supr_eapprox_integral],
{ congr, funext n, symmetry,
apply simple_func.integral_map,
{ exact hg },
{ assume a, exact congr_fun (simple_func.eapprox_comp hf hg) a },
{ assume s hs, exact map_apply hg hs } },
exact hf.comp hg,
assumption
end
lemma integral_dirac (a : α) {f : α → ennreal} (hf : measurable f) : (dirac a).integral f = f a :=
have ∀f:α →ₛ ennreal, @simple_func.integral α {μ := dirac a} f = f a,
begin
assume f,
have : ∀r, @volume α { μ := dirac a } (⇑f ⁻¹' {r}) = ⨆ h : f a = r, 1,
{ assume r,
transitivity,
apply dirac_apply,
apply simple_func.measurable_sn,
refine supr_congr_Prop _ _; simp },
transitivity,
apply finset.sum_eq_single (f a),
{ assume b hb h, simp [this, ne.symm h], },
{ assume h, simp at h, exact (h a rfl).elim },
{ rw [this], simp }
end,
begin
rw [integral, lintegral_eq_supr_eapprox_integral],
{ simp [this, simple_func.supr_eapprox_apply f hf] },
assumption
end
def with_density (m : measure α) (f : α → ennreal) : measure α :=
if hf : measurable f then
measure.of_measurable (λs hs, m.integral (λa, ⨆(h : a ∈ s), f a))
(by simp)
begin
assume s hs hd,
have : ∀a, (⨆ (h : a ∈ ⋃i, s i), f a) = (∑i, (⨆ (h : a ∈ s i), f a)),
{ assume a,
by_cases ha : ∃j, a ∈ s j,
{ rcases ha with ⟨j, haj⟩,
have : ∀i, a ∈ s i ↔ j = i := assume i,
iff.intro
(assume hai, by_contradiction $ assume hij, hd j i hij ⟨haj, hai⟩)
(by rintros rfl; assumption),
simp [this, ennreal.tsum_supr_eq] },
{ have : ∀i, ¬ a ∈ s i, { simpa using ha },
simp [this] } },
simp only [this],
apply lintegral_tsum,
{ assume i,
simp [supr_eq_if],
exact measurable.if (hs i) hf measurable_const }
end
else 0
lemma with_density_apply {m : measure α} {f : α → ennreal} {s : set α}
(hf : measurable f) (hs : is_measurable s) :
m.with_density f s = m.integral (λa, ⨆(h : a ∈ s), f a) :=
by rw [with_density, dif_pos hf]; exact measure.of_measurable_apply s hs
end measure
end measure_theory
|
974577ba69224be949b9d95a61c512961001238c | 82e44445c70db0f03e30d7be725775f122d72f3e | /src/meta/expr.lean | 2538eb63eb140e0194f5ce3e8b4a8667e3b1af5d | [
"Apache-2.0"
] | permissive | stjordanis/mathlib | 51e286d19140e3788ef2c470bc7b953e4991f0c9 | 2568d41bca08f5d6bf39d915434c8447e21f42ee | refs/heads/master | 1,631,748,053,501 | 1,627,938,886,000 | 1,627,938,886,000 | 228,728,358 | 0 | 0 | Apache-2.0 | 1,576,630,588,000 | 1,576,630,587,000 | null | UTF-8 | Lean | false | false | 45,815 | lean | /-
Copyright (c) 2019 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Simon Hudon, Scott Morrison, Keeley Hoek, Robert Y. Lewis, Floris van Doorn
-/
import data.string.defs
import data.option.defs
import tactic.derive_inhabited
/-!
# Additional operations on expr and related types
This file defines basic operations on the types expr, name, declaration, level, environment.
This file is mostly for non-tactics. Tactics should generally be placed in `tactic.core`.
## Tags
expr, name, declaration, level, environment, meta, metaprogramming, tactic
-/
attribute [derive has_reflect, derive decidable_eq] binder_info congr_arg_kind
@[priority 100] meta instance has_reflect.has_to_pexpr {α} [has_reflect α] : has_to_pexpr α :=
⟨λ b, pexpr.of_expr (reflect b)⟩
namespace binder_info
/-! ### Declarations about `binder_info` -/
instance : inhabited binder_info := ⟨ binder_info.default ⟩
/-- The brackets corresponding to a given binder_info. -/
def brackets : binder_info → string × string
| binder_info.implicit := ("{", "}")
| binder_info.strict_implicit := ("{{", "}}")
| binder_info.inst_implicit := ("[", "]")
| _ := ("(", ")")
end binder_info
namespace name
/-! ### Declarations about `name` -/
/-- Find the largest prefix `n` of a `name` such that `f n ≠ none`, then replace this prefix
with the value of `f n`. -/
def map_prefix (f : name → option name) : name → name
| anonymous := anonymous
| (mk_string s n') := (f (mk_string s n')).get_or_else (mk_string s $ map_prefix n')
| (mk_numeral d n') := (f (mk_numeral d n')).get_or_else (mk_numeral d $ map_prefix n')
/-- If `nm` is a simple name (having only one string component) starting with `_`, then
`deinternalize_field nm` removes the underscore. Otherwise, it does nothing. -/
meta def deinternalize_field : name → name
| (mk_string s name.anonymous) :=
let i := s.mk_iterator in
if i.curr = '_' then i.next.next_to_string else s
| n := n
/-- `get_nth_prefix nm n` removes the last `n` components from `nm` -/
meta def get_nth_prefix : name → ℕ → name
| nm 0 := nm
| nm (n + 1) := get_nth_prefix nm.get_prefix n
/-- Auxiliary definition for `pop_nth_prefix` -/
private meta def pop_nth_prefix_aux : name → ℕ → name × ℕ
| anonymous n := (anonymous, 1)
| nm n := let (pfx, height) := pop_nth_prefix_aux nm.get_prefix n in
if height ≤ n then (anonymous, height + 1)
else (nm.update_prefix pfx, height + 1)
/-- Pops the top `n` prefixes from the given name. -/
meta def pop_nth_prefix (nm : name) (n : ℕ) : name :=
prod.fst $ pop_nth_prefix_aux nm n
/-- Pop the prefix of a name -/
meta def pop_prefix (n : name) : name :=
pop_nth_prefix n 1
/-- Auxiliary definition for `from_components` -/
private def from_components_aux : name → list string → name
| n [] := n
| n (s :: rest) := from_components_aux (name.mk_string s n) rest
/-- Build a name from components. For example `from_components ["foo","bar"]` becomes
``` `foo.bar``` -/
def from_components : list string → name :=
from_components_aux name.anonymous
/-- `name`s can contain numeral pieces, which are not legal names
when typed/passed directly to the parser. We turn an arbitrary
name into a legal identifier name by turning the numbers to strings. -/
meta def sanitize_name : name → name
| name.anonymous := name.anonymous
| (name.mk_string s p) := name.mk_string s $ sanitize_name p
| (name.mk_numeral s p) := name.mk_string sformat!"n{s}" $ sanitize_name p
/-- Append a string to the last component of a name. -/
def append_suffix : name → string → name
| (mk_string s n) s' := mk_string (s ++ s') n
| n _ := n
/-- Update the last component of a name. -/
def update_last (f : string → string) : name → name
| (mk_string s n) := mk_string (f s) n
| n := n
/-- `append_to_last nm s is_prefix` adds `s` to the last component of `nm`,
either as prefix or as suffix (specified by `is_prefix`), separated by `_`.
Used by `simps_add_projections`. -/
def append_to_last (nm : name) (s : string) (is_prefix : bool) : name :=
nm.update_last $ λ s', if is_prefix then s ++ "_" ++ s' else s' ++ "_" ++ s
/-- The first component of a name, turning a number to a string -/
meta def head : name → string
| (mk_string s anonymous) := s
| (mk_string s p) := head p
| (mk_numeral n p) := head p
| anonymous := "[anonymous]"
/-- Tests whether the first component of a name is `"_private"` -/
meta def is_private (n : name) : bool :=
n.head = "_private"
/-- Get the last component of a name, and convert it to a string. -/
meta def last : name → string
| (mk_string s _) := s
| (mk_numeral n _) := repr n
| anonymous := "[anonymous]"
/-- Returns the number of characters used to print all the string components of a name,
including periods between name segments. Ignores numerical parts of a name. -/
meta def length : name → ℕ
| (mk_string s anonymous) := s.length
| (mk_string s p) := s.length + 1 + p.length
| (mk_numeral n p) := p.length
| anonymous := "[anonymous]".length
/-- Checks whether `nm` has a prefix (including itself) such that P is true -/
def has_prefix (P : name → bool) : name → bool
| anonymous := ff
| (mk_string s nm) := P (mk_string s nm) ∨ has_prefix nm
| (mk_numeral s nm) := P (mk_numeral s nm) ∨ has_prefix nm
/-- Appends `'` to the end of a name. -/
meta def add_prime : name → name
| (name.mk_string s p) := name.mk_string (s ++ "'") p
| n := (name.mk_string "x'" n)
/-- `last_string n` returns the rightmost component of `n`, ignoring numeral components.
For example, ``last_string `a.b.c.33`` will return `` `c ``. -/
def last_string : name → string
| anonymous := "[anonymous]"
| (mk_string s _) := s
| (mk_numeral _ n) := last_string n
/--
Constructs a (non-simple) name from a string.
Example: ``name.from_string "foo.bar" = `foo.bar``
-/
meta def from_string (s : string) : name :=
from_components $ s.split (= '.')
/--
In surface Lean, we can write anonymous Π binders (i.e. binders where the
argument is not named) using the function arrow notation:
```lean
inductive test : Type
| intro : unit → test
```
After elaboration, however, every binder must have a name, so Lean generates
one. In the example, the binder in the type of `intro` is anonymous, so Lean
gives it the name `ᾰ`:
```lean
test.intro : ∀ (ᾰ : unit), test
```
When there are multiple anonymous binders, they are named `ᾰ_1`, `ᾰ_2` etc.
Thus, when we want to know whether the user named a binder, we can check whether
the name follows this scheme. Note, however, that this is not reliable. When the
user writes (for whatever reason)
```lean
inductive test : Type
| intro : ∀ (ᾰ : unit), test
```
we cannot tell that the binder was, in fact, named.
The function `name.is_likely_generated_binder_name` checks if
a name is of the form `ᾰ`, `ᾰ_1`, etc.
-/
library_note "likely generated binder names"
/--
Check whether a simple name was likely generated by Lean to name an anonymous
binder. Such names are either `ᾰ` or `ᾰ_n` for some natural `n`. See
note [likely generated binder names].
-/
meta def is_likely_generated_binder_simple_name : string → bool
| "ᾰ" := tt
| n :=
match n.get_rest "ᾰ_" with
| none := ff
| some suffix := suffix.is_nat
end
/--
Check whether a name was likely generated by Lean to name an anonymous binder.
Such names are either `ᾰ` or `ᾰ_n` for some natural `n`. See
note [likely generated binder names].
-/
meta def is_likely_generated_binder_name (n : name) : bool :=
match n with
| mk_string s anonymous := is_likely_generated_binder_simple_name s
| _ := ff
end
end name
namespace level
/-! ### Declarations about `level` -/
/-- Tests whether a universe level is non-zero for all assignments of its variables -/
meta def nonzero : level → bool
| (succ _) := tt
| (max l₁ l₂) := l₁.nonzero || l₂.nonzero
| (imax _ l₂) := l₂.nonzero
| _ := ff
/--
`l.fold_mvar f` folds a function `f : name → α → α`
over each `n : name` appearing in a `level.mvar n` in `l`.
-/
meta def fold_mvar {α} : level → (name → α → α) → α → α
| zero f := id
| (succ a) f := fold_mvar a f
| (param a) f := id
| (mvar a) f := f a
| (max a b) f := fold_mvar a f ∘ fold_mvar b f
| (imax a b) f := fold_mvar a f ∘ fold_mvar b f
end level
/-! ### Declarations about `binder` -/
/-- The type of binders containing a name, the binding info and the binding type -/
@[derive decidable_eq, derive inhabited]
meta structure binder :=
(name : name)
(info : binder_info)
(type : expr)
namespace binder
/-- Turn a binder into a string. Uses expr.to_string for the type. -/
protected meta def to_string (b : binder) : string :=
let (l, r) := b.info.brackets in
l ++ b.name.to_string ++ " : " ++ b.type.to_string ++ r
open tactic
meta instance : has_to_string binder := ⟨ binder.to_string ⟩
meta instance : has_to_format binder := ⟨ λ b, b.to_string ⟩
meta instance : has_to_tactic_format binder :=
⟨ λ b, let (l, r) := b.info.brackets in
(λ e, l ++ b.name.to_string ++ " : " ++ e ++ r) <$> pp b.type ⟩
end binder
/-!
### Converting between expressions and numerals
There are a number of ways to convert between expressions and numerals, depending on the input and
output types and whether you want to infer the necessary type classes.
See also the tactics `expr.of_nat`, `expr.of_int`, `expr.of_rat`.
-/
/--
`nat.mk_numeral n` embeds `n` as a numeral expression inside a type with 0, 1, and +.
`type`: an expression representing the target type. This must live in Type 0.
`has_zero`, `has_one`, `has_add`: expressions of the type `has_zero %%type`, etc.
-/
meta def nat.mk_numeral (type has_zero has_one has_add : expr) : ℕ → expr :=
let z : expr := `(@has_zero.zero.{0} %%type %%has_zero),
o : expr := `(@has_one.one.{0} %%type %%has_one) in
nat.binary_rec z
(λ b n e, if n = 0 then o else
if b then `(@bit1.{0} %%type %%has_one %%has_add %%e)
else `(@bit0.{0} %%type %%has_add %%e))
/--
`int.mk_numeral z` embeds `z` as a numeral expression inside a type with 0, 1, +, and -.
`type`: an expression representing the target type. This must live in Type 0.
`has_zero`, `has_one`, `has_add`, `has_neg`: expressions of the type `has_zero %%type`, etc.
-/
meta def int.mk_numeral (type has_zero has_one has_add has_neg : expr) : ℤ → expr
| (int.of_nat n) := n.mk_numeral type has_zero has_one has_add
| -[1+n] := let ne := (n+1).mk_numeral type has_zero has_one has_add in
`(@has_neg.neg.{0} %%type %%has_neg %%ne)
/--
`nat.to_pexpr n` creates a `pexpr` that will evaluate to `n`.
The `pexpr` does not hold any typing information:
`to_expr ``((%%(nat.to_pexpr 5) : ℤ))` will create a native integer numeral `(5 : ℤ)`.
-/
meta def nat.to_pexpr : ℕ → pexpr
| 0 := ``(0)
| 1 := ``(1)
| n := if n % 2 = 0 then ``(bit0 %%(nat.to_pexpr (n/2))) else ``(bit1 %%(nat.to_pexpr (n/2)))
namespace expr
/--
Turns an expression into a natural number, assuming it is only built up from
`has_one.one`, `bit0`, `bit1`, `has_zero.zero`, `nat.zero`, and `nat.succ`.
-/
protected meta def to_nat : expr → option ℕ
| `(has_zero.zero) := some 0
| `(has_one.one) := some 1
| `(bit0 %%e) := bit0 <$> e.to_nat
| `(bit1 %%e) := bit1 <$> e.to_nat
| `(nat.succ %%e) := (+1) <$> e.to_nat
| `(nat.zero) := some 0
| _ := none
/--
Turns an expression into a integer, assuming it is only built up from
`has_one.one`, `bit0`, `bit1`, `has_zero.zero` and a optionally a single `has_neg.neg` as head.
-/
protected meta def to_int : expr → option ℤ
| `(has_neg.neg %%e) := do n ← e.to_nat, some (-n)
| e := coe <$> e.to_nat
/--
Turns an expression into a list, assuming it is only built up from `list.nil` and `list.cons`.
-/
protected meta def to_list {α} (f : expr → option α) : expr → option (list α)
| `(list.nil) := some []
| `(list.cons %%x %%l) := list.cons <$> f x <*> l.to_list
| _ := none
/--
`is_num_eq n1 n2` returns true if `n1` and `n2` are both numerals with the same numeral structure,
ignoring differences in type and type class arguments.
-/
meta def is_num_eq : expr → expr → bool
| `(@has_zero.zero _ _) `(@has_zero.zero _ _) := tt
| `(@has_one.one _ _) `(@has_one.one _ _) := tt
| `(bit0 %%a) `(bit0 %%b) := a.is_num_eq b
| `(bit1 %%a) `(bit1 %%b) := a.is_num_eq b
| `(-%%a) `(-%%b) := a.is_num_eq b
| `(%%a/%%a') `(%%b/%%b') := a.is_num_eq b
| _ _ := ff
end expr
/-! ### Declarations about `expr` -/
namespace expr
open tactic
/-- List of names removed by `clean`. All these names must resolve to functions defeq `id`. -/
meta def clean_ids : list name :=
[``id, ``id_rhs, ``id_delta, ``hidden]
/-- Clean an expression by removing `id`s listed in `clean_ids`. -/
meta def clean (e : expr) : expr :=
e.replace (λ e n,
match e with
| (app (app (const n _) _) e') :=
if n ∈ clean_ids then some e' else none
| (app (lam _ _ _ (var 0)) e') := some e'
| _ := none
end)
/-- `replace_with e s s'` replaces ocurrences of `s` with `s'` in `e`. -/
meta def replace_with (e : expr) (s : expr) (s' : expr) : expr :=
e.replace $ λc d, if c = s then some (s'.lift_vars 0 d) else none
/-- Implementation of `expr.mreplace`. -/
meta def mreplace_aux {m : Type* → Type*} [monad m] (R : expr → nat → m (option expr)) :
expr → ℕ → m expr
| (app f x) n := option.mget_or_else (R (app f x) n)
(do Rf ← mreplace_aux f n, Rx ← mreplace_aux x n, return $ app Rf Rx)
| (lam nm bi ty bd) n := option.mget_or_else (R (lam nm bi ty bd) n)
(do Rty ← mreplace_aux ty n, Rbd ← mreplace_aux bd (n+1), return $ lam nm bi Rty Rbd)
| (pi nm bi ty bd) n := option.mget_or_else (R (pi nm bi ty bd) n)
(do Rty ← mreplace_aux ty n, Rbd ← mreplace_aux bd (n+1), return $ pi nm bi Rty Rbd)
| (elet nm ty a b) n := option.mget_or_else (R (elet nm ty a b) n)
(do Rty ← mreplace_aux ty n,
Ra ← mreplace_aux a n,
Rb ← mreplace_aux b n,
return $ elet nm Rty Ra Rb)
| (macro c es) n := option.mget_or_else (R (macro c es) n) $
macro c <$> es.mmap (λ e, mreplace_aux e n)
| e n := option.mget_or_else (R e n) (return e)
/--
Monadic analogue of `expr.replace`.
The `mreplace R e` visits each subexpression `s` of `e`, and is called with `R s n`, where
`n` is the number of binders above `e`.
If `R s n` fails, the whole replacement fails.
If `R s n` returns `some t`, `s` is replaced with `t` (and `mreplace` does not visit
its subexpressions).
If `R s n` return `none`, then `mreplace` continues visiting subexpressions of `s`.
WARNING: This function performs exponentially worse on large terms than `expr.replace`,
if a subexpression occurs more than once in an expression, `expr.replace` visits them only once,
but this function will visit every occurence of it. Do not use this on large expressions.
-/
meta def mreplace {m : Type* → Type*} [monad m] (R : expr → nat → m (option expr)) (e : expr) :
m expr :=
mreplace_aux R e 0
/-- Match a variable. -/
meta def match_var {elab} : expr elab → option ℕ
| (var n) := some n
| _ := none
/-- Match a sort. -/
meta def match_sort {elab} : expr elab → option level
| (sort u) := some u
| _ := none
/-- Match a constant. -/
meta def match_const {elab} : expr elab → option (name × list level)
| (const n lvls) := some (n, lvls)
| _ := none
/-- Match a metavariable. -/
meta def match_mvar {elab} : expr elab →
option (name × name × expr elab)
| (mvar unique pretty type) := some (unique, pretty, type)
| _ := none
/-- Match a local constant. -/
meta def match_local_const {elab} : expr elab →
option (name × name × binder_info × expr elab)
| (local_const unique pretty bi type) := some (unique, pretty, bi, type)
| _ := none
/-- Match an application. -/
meta def match_app {elab} : expr elab → option (expr elab × expr elab)
| (app t u) := some (t, u)
| _ := none
/-- Match an application of `coe_fn`. -/
meta def match_app_coe_fn : expr → option (expr × expr × expr × expr)
| (app `(@coe_fn %%α %%inst %%fexpr) x) := some (α, inst, fexpr, x)
| _ := none
/-- Match an abstraction. -/
meta def match_lam {elab} : expr elab →
option (name × binder_info × expr elab × expr elab)
| (lam var_name bi type body) := some (var_name, bi, type, body)
| _ := none
/-- Match a Π type. -/
meta def match_pi {elab} : expr elab →
option (name × binder_info × expr elab × expr elab)
| (pi var_name bi type body) := some (var_name, bi, type, body)
| _ := none
/-- Match a let. -/
meta def match_elet {elab} : expr elab →
option (name × expr elab × expr elab × expr elab)
| (elet var_name type assignment body) := some (var_name, type, assignment, body)
| _ := none
/-- Match a macro. -/
meta def match_macro {elab} : expr elab →
option (macro_def × list (expr elab))
| (macro df args) := some (df, args)
| _ := none
/-- Tests whether an expression is a meta-variable. -/
meta def is_mvar : expr → bool
| (mvar _ _ _) := tt
| _ := ff
/-- Tests whether an expression is a sort. -/
meta def is_sort : expr → bool
| (sort _) := tt
| e := ff
/-- Get the universe levels of a `const` expression -/
meta def univ_levels : expr → list level
| (const n ls) := ls
| _ := []
/--
Replace any metavariables in the expression with underscores, in preparation for printing
`refine ...` statements.
-/
meta def replace_mvars (e : expr) : expr :=
e.replace (λ e' _, if e'.is_mvar then some (unchecked_cast pexpr.mk_placeholder) else none)
/-- If `e` is a local constant, `to_implicit_local_const e` changes the binder info of `e` to
`implicit`. See also `to_implicit_binder`, which also changes lambdas and pis. -/
meta def to_implicit_local_const : expr → expr
| (expr.local_const uniq n bi t) := expr.local_const uniq n binder_info.implicit t
| e := e
/-- If `e` is a local constant, lamda, or pi expression, `to_implicit_binder e` changes the binder
info of `e` to `implicit`. See also `to_implicit_local_const`, which only changes local constants.
-/
meta def to_implicit_binder : expr → expr
| (local_const n₁ n₂ _ d) := local_const n₁ n₂ binder_info.implicit d
| (lam n _ d b) := lam n binder_info.implicit d b
| (pi n _ d b) := pi n binder_info.implicit d b
| e := e
/-- Returns a list of all local constants in an expression (without duplicates). -/
meta def list_local_consts (e : expr) : list expr :=
e.fold [] (λ e' _ es, if e'.is_local_constant then insert e' es else es)
/-- Returns the set of all local constants in an expression. -/
meta def list_local_consts' (e : expr) : expr_set :=
e.fold mk_expr_set (λ e' _ es, if e'.is_local_constant then es.insert e' else es)
/-- Returns the unique names of all local constants in an expression. -/
meta def list_local_const_unique_names (e : expr) : name_set :=
e.fold mk_name_set
(λ e' _ es, if e'.is_local_constant then es.insert e'.local_uniq_name else es)
/-- Returns a name_set of all constants in an expression. -/
meta def list_constant (e : expr) : name_set :=
e.fold mk_name_set (λ e' _ es, if e'.is_constant then es.insert e'.const_name else es)
/-- Returns a list of all meta-variables in an expression (without duplicates). -/
meta def list_meta_vars (e : expr) : list expr :=
e.fold [] (λ e' _ es, if e'.is_mvar then insert e' es else es)
/-- Returns the set of all meta-variables in an expression. -/
meta def list_meta_vars' (e : expr) : expr_set :=
e.fold mk_expr_set (λ e' _ es, if e'.is_mvar then es.insert e' else es)
/-- Returns a list of all universe meta-variables in an expression (without duplicates). -/
meta def list_univ_meta_vars (e : expr) : list name :=
native.rb_set.to_list $ e.fold native.mk_rb_set $ λ e' i s,
match e' with
| (sort u) := u.fold_mvar (flip native.rb_set.insert) s
| (const _ ls) := ls.foldl (λ s' l, l.fold_mvar (flip native.rb_set.insert) s') s
| _ := s
end
/--
Test `t` contains the specified subexpression `e`, or a metavariable.
This represents the notion that `e` "may occur" in `t`,
possibly after subsequent unification.
-/
meta def contains_expr_or_mvar (t : expr) (e : expr) : bool :=
-- We can't use `t.has_meta_var` here, as that detects universe metavariables, too.
¬ t.list_meta_vars.empty ∨ e.occurs t
/-- Returns a name_set of all constants in an expression starting with a certain prefix. -/
meta def list_names_with_prefix (pre : name) (e : expr) : name_set :=
e.fold mk_name_set $ λ e' _ l,
match e' with
| expr.const n _ := if n.get_prefix = pre then l.insert n else l
| _ := l
end
/-- Returns true if `e` contains a name `n` where `p n` is true.
Returns `true` if `p name.anonymous` is true. -/
meta def contains_constant (e : expr) (p : name → Prop) [decidable_pred p] : bool :=
e.fold ff (λ e' _ b, if p (e'.const_name) then tt else b)
/--
Returns true if `e` contains a `sorry`.
-/
meta def contains_sorry (e : expr) : bool :=
e.fold ff (λ e' _ b, if (is_sorry e').is_some then tt else b)
/--
`app_symbol_in e l` returns true iff `e` is an application of a constant whose name is in `l`.
-/
meta def app_symbol_in (e : expr) (l : list name) : bool :=
match e.get_app_fn with
| (expr.const n _) := n ∈ l
| _ := ff
end
/-- `get_simp_args e` returns the arguments of `e` that simp can reach via congruence lemmas. -/
meta def get_simp_args (e : expr) : tactic (list expr) :=
-- `mk_specialized_congr_lemma_simp` throws an assertion violation if its argument is not an app
if ¬ e.is_app then pure [] else do
cgr ← mk_specialized_congr_lemma_simp e,
pure $ do
(arg_kind, arg) ← cgr.arg_kinds.zip e.get_app_args,
guard $ arg_kind = congr_arg_kind.eq,
pure arg
/-- Simplifies the expression `t` with the specified options.
The result is `(new_e, pr)` with the new expression `new_e` and a proof
`pr : e = new_e`. -/
meta def simp (t : expr)
(cfg : simp_config := {}) (discharger : tactic unit := failed)
(no_defaults := ff) (attr_names : list name := []) (hs : list simp_arg_type := []) :
tactic (expr × expr × name_set) :=
do (s, to_unfold) ← mk_simp_set no_defaults attr_names hs,
simplify s to_unfold t cfg `eq discharger
/-- Definitionally simplifies the expression `t` with the specified options.
The result is the simplified expression. -/
meta def dsimp (t : expr)
(cfg : dsimp_config := {})
(no_defaults := ff) (attr_names : list name := []) (hs : list simp_arg_type := []) :
tactic expr :=
do (s, to_unfold) ← mk_simp_set no_defaults attr_names hs,
s.dsimplify to_unfold t cfg
/-- Get the names of the bound variables by a sequence of pis or lambdas. -/
meta def binding_names : expr → list name
| (pi n _ _ e) := n :: e.binding_names
| (lam n _ _ e) := n :: e.binding_names
| e := []
/-- head-reduce a single let expression -/
meta def reduce_let : expr → expr
| (elet _ _ v b) := b.instantiate_var v
| e := e
/-- head-reduce all let expressions -/
meta def reduce_lets : expr → expr
| (elet _ _ v b) := reduce_lets $ b.instantiate_var v
| e := e
/-- Instantiate lambdas in the second argument by expressions from the first. -/
meta def instantiate_lambdas : list expr → expr → expr
| (e'::es) (lam n bi t e) := instantiate_lambdas es (e.instantiate_var e')
| _ e := e
/-- Repeatedly apply `expr.subst`. -/
meta def substs : expr → list expr → expr | e es := es.foldl expr.subst e
/-- `instantiate_lambdas_or_apps es e` instantiates lambdas in `e` by expressions from `es`.
If the length of `es` is larger than the number of lambdas in `e`,
then the term is applied to the remaining terms.
Also reduces head let-expressions in `e`, including those after instantiating all lambdas.
This is very similar to `expr.substs`, but this also reduces head let-expressions. -/
meta def instantiate_lambdas_or_apps : list expr → expr → expr
| (v::es) (lam n bi t b) := instantiate_lambdas_or_apps es $ b.instantiate_var v
| es (elet _ _ v b) := instantiate_lambdas_or_apps es $ b.instantiate_var v
| es e := mk_app e es
/--
Some declarations work with open expressions, i.e. an expr that has free variables.
Terms will free variables are not well-typed, and one should not use them in tactics like
`infer_type` or `unify`. You can still do syntactic analysis/manipulation on them.
The reason for working with open types is for performance: instantiating variables requires
iterating through the expression. In one performance test `pi_binders` was more than 6x
quicker than `mk_local_pis` (when applied to the type of all imported declarations 100x).
-/
library_note "open expressions"
/-- Get the codomain/target of a pi-type.
This definition doesn't instantiate bound variables, and therefore produces a term that is open.
See note [open expressions]. -/
meta def pi_codomain : expr → expr
| (pi n bi d b) := pi_codomain b
| e := e
/-- Get the body/value of a lambda-expression.
This definition doesn't instantiate bound variables, and therefore produces a term that is open.
See note [open expressions]. -/
meta def lambda_body : expr → expr
| (lam n bi d b) := lambda_body b
| e := e
/-- Auxiliary defintion for `pi_binders`.
See note [open expressions]. -/
meta def pi_binders_aux : list binder → expr → list binder × expr
| es (pi n bi d b) := pi_binders_aux (⟨n, bi, d⟩::es) b
| es e := (es, e)
/-- Get the binders and codomain of a pi-type.
This definition doesn't instantiate bound variables, and therefore produces a term that is open.
The.tactic `get_pi_binders` in `tactic.core` does the same, but also instantiates the
free variables.
See note [open expressions]. -/
meta def pi_binders (e : expr) : list binder × expr :=
let (es, e) := pi_binders_aux [] e in (es.reverse, e)
/-- Auxiliary defintion for `get_app_fn_args`. -/
meta def get_app_fn_args_aux : list expr → expr → expr × list expr
| r (app f a) := get_app_fn_args_aux (a::r) f
| r e := (e, r)
/-- A combination of `get_app_fn` and `get_app_args`: lists both the
function and its arguments of an application -/
meta def get_app_fn_args : expr → expr × list expr :=
get_app_fn_args_aux []
/-- `drop_pis es e` instantiates the pis in `e` with the expressions from `es`. -/
meta def drop_pis : list expr → expr → tactic expr
| (v :: vs) (pi n bi d b) := do
t ← infer_type v,
guard (t =ₐ d),
drop_pis vs (b.instantiate_var v)
| [] e := return e
| _ _ := failed
/-- `instantiate_pis es e` instantiates the pis in `e` with the expressions from `es`.
Does not check whether the result remains type-correct. -/
meta def instantiate_pis : list expr → expr → expr
| (v :: vs) (pi n bi d b) := instantiate_pis vs (b.instantiate_var v)
| _ e := e
/-- `mk_op_lst op empty [x1, x2, ...]` is defined as `op x1 (op x2 ...)`.
Returns `empty` if the list is empty. -/
meta def mk_op_lst (op : expr) (empty : expr) : list expr → expr
| [] := empty
| [e] := e
| (e :: es) := op e $ mk_op_lst es
/-- `mk_and_lst [x1, x2, ...]` is defined as `x1 ∧ (x2 ∧ ...)`, or `true` if the list is empty. -/
meta def mk_and_lst : list expr → expr := mk_op_lst `(and) `(true)
/-- `mk_or_lst [x1, x2, ...]` is defined as `x1 ∨ (x2 ∨ ...)`, or `false` if the list is empty. -/
meta def mk_or_lst : list expr → expr := mk_op_lst `(or) `(false)
/-- `local_binding_info e` returns the binding info of `e` if `e` is a local constant.
Otherwise returns `binder_info.default`. -/
meta def local_binding_info : expr → binder_info
| (expr.local_const _ _ bi _) := bi
| _ := binder_info.default
/-- `is_default_local e` tests whether `e` is a local constant with binder info
`binder_info.default` -/
meta def is_default_local : expr → bool
| (expr.local_const _ _ binder_info.default _) := tt
| _ := ff
/-- `has_local_constant e l` checks whether local constant `l` occurs in expression `e` -/
meta def has_local_constant (e l : expr) : bool :=
e.has_local_in $ mk_name_set.insert l.local_uniq_name
/-- Turns a local constant into a binder -/
meta def to_binder : expr → binder
| (local_const _ nm bi t) := ⟨nm, bi, t⟩
| _ := default binder
/-- Strip-away the context-dependent unique id for the given local const and return: its friendly
`name`, its `binder_info`, and its `type : expr`. -/
meta def get_local_const_kind : expr → name × binder_info × expr
| (expr.local_const _ n bi e) := (n, bi, e)
| _ := (name.anonymous, binder_info.default, expr.const name.anonymous [])
/-- `local_const_set_type e t` sets the type of `e` to `t`, if `e` is a `local_const`. -/
meta def local_const_set_type {elab : bool} : expr elab → expr elab → expr elab
| (expr.local_const x n bi t) new_t := expr.local_const x n bi new_t
| e new_t := e
/-- `unsafe_cast e` freely changes the `elab : bool` parameter of the passed `expr`. Mainly used to
access core `expr` manipulation functions for `pexpr`-based use, but which are restricted to
`expr tt` at the site of definition unnecessarily.
DANGER: Unless you know exactly what you are doing, this is probably not the function you are
looking for. For `pexpr → expr` see `tactic.to_expr`. For `expr → pexpr` see `to_pexpr`. -/
meta def unsafe_cast {elab₁ elab₂ : bool} : expr elab₁ → expr elab₂ := unchecked_cast
/-- `replace_subexprs e mappings` takes an `e : expr` and interprets a `list (expr × expr)` as
a collection of rules for variable replacements. A pair `(f, t)` encodes a rule which says "whenever
`f` is encountered in `e` verbatim, replace it with `t`". -/
meta def replace_subexprs {elab : bool} (e : expr elab) (mappings : list (expr × expr)) :
expr elab :=
unsafe_cast $ e.unsafe_cast.replace $ λ e n,
(mappings.filter $ λ ent : expr × expr, ent.1 = e).head'.map prod.snd
/-- `is_implicitly_included_variable e vs` accepts `e`, an `expr.local_const`, and a list `vs` of
other `expr.local_const`s. It determines whether `e` should be considered "available in context"
as a variable by virtue of the fact that the variables `vs` have been deemed such.
For example, given `variables (n : ℕ) [prime n] [ih : even n]`, a reference to `n` implies that
the typeclass instance `prime n` should be included, but `ih : even n` should not.
DANGER: It is possible that for `f : expr` another `expr.local_const`, we have
`is_implicitly_included_variable f vs = ff` but
`is_implicitly_included_variable f (e :: vs) = tt`. This means that one usually wants to
iteratively add a list of local constants (usually, the `variables` declared in the local scope)
which satisfy `is_implicitly_included_variable` to an initial `vs`, repeating if any variables
were added in a particular iteration. The function `all_implicitly_included_variables` below
implements this behaviour.
Note that if `e ∈ vs` then `is_implicitly_included_variable e vs = tt`. -/
meta def is_implicitly_included_variable (e : expr) (vs : list expr) : bool :=
if ¬(e.local_pp_name.to_string.starts_with "_") then
e ∈ vs
else e.local_type.fold tt $ λ se _ b,
if ¬b then ff
else if ¬se.is_local_constant then tt
else se ∈ vs
/-- Private work function for `all_implicitly_included_variables`, performing the actual series of
iterations, tracking with a boolean whether any updates occured this iteration. -/
private meta def all_implicitly_included_variables_aux
: list expr → list expr → list expr → bool → list expr
| [] vs rs tt := all_implicitly_included_variables_aux rs vs [] ff
| [] vs rs ff := vs
| (e :: rest) vs rs b :=
let (vs, rs, b) :=
if e.is_implicitly_included_variable vs then (e :: vs, rs, tt) else (vs, e :: rs, b) in
all_implicitly_included_variables_aux rest vs rs b
/-- `all_implicitly_included_variables es vs` accepts `es`, a list of `expr.local_const`, and `vs`,
another such list. It returns a list of all variables `e` in `es` or `vs` for which an inclusion
of the variables in `vs` into the local context implies that `e` should also be included. See
`is_implicitly_included_variable e vs` for the details.
In particular, those elements of `vs` are included automatically. -/
meta def all_implicitly_included_variables (es vs : list expr) : list expr :=
all_implicitly_included_variables_aux es vs [] ff
/-- Infer the type of an application of the form `f x1 x2 ... xn`, where `f` is an identifier.
This also works if `x1, ... xn` contain free variables. -/
protected meta def simple_infer_type (env : environment) (e : expr) : exceptional expr := do
(@const tt n ls, es) ← return e.get_app_fn_args |
exceptional.fail "expression is not a constant applied to arguments",
d ← env.get n,
return $ (d.type.instantiate_pis es).instantiate_univ_params $ d.univ_params.zip ls
/-- Auxilliary function for `head_eta_expand`. -/
meta def head_eta_expand_aux : ℕ → expr → expr → expr
| (n+1) e (pi x bi d b) :=
lam x bi d $ head_eta_expand_aux n e b
| _ e _ := e
/-- `head_eta_expand n e t` eta-expands `e` `n` times, with the binders info and domains obtained
by its type `t`. -/
meta def head_eta_expand (n : ℕ) (e t : expr) : expr :=
((e.lift_vars 0 n).mk_app $ (list.range n).reverse.map var).head_eta_expand_aux n t
/-- `e.eta_expand env dict` eta-expands all expressions that have as head a constant `n` in
`dict`. They are expanded until they are applied to one more argument than the maximum in
`dict.find n`. -/
protected meta def eta_expand (env : environment) (dict : name_map $ list ℕ) : expr → expr
| e := e.replace $ λ e _, do
let (e0, es) := e.get_app_fn_args,
let ns := (dict.find e0.const_name).iget,
guard (bnot ns.empty),
let e' := e0.mk_app $ es.map eta_expand,
let needed_n := ns.foldr max 0 + 1,
if needed_n ≤ es.length then some e'
else do
e'_type ← (e'.simple_infer_type env).to_option,
some $ head_eta_expand (needed_n - es.length) e' e'_type
/--
`e.apply_replacement_fun f test` applies `f` to each identifier
(inductive type, defined function etc) in an expression, unless
* The identifier occurs in an application with first argument `arg`; and
* `test arg` is false.
* Reorder contains the information about what arguments to reorder:
e.g. `g x₁ x₂ x₃ ... xₙ` becomes `g x₂ x₁ x₃ ... xₙ` if `reorder.find g = some [1]`.
We assume that all functions where we want to reorder arguments are fully applied.
This can be done by applying `expr.eta_expand` first.
-/
protected meta def apply_replacement_fun (f : name → name) (test : expr → bool)
(reorder : name_map $ list ℕ) : expr → expr
| e := e.replace $ λ e _,
match e with
| const n ls := some $ const (f n) $
-- if the first two arguments are reordered, we also reorder the first two universe parameters
if 1 ∈ (reorder.find n).iget then ls.inth 1::ls.head::ls.drop 2 else ls
| app g x :=
let l := (reorder.find g.get_app_fn.const_name).iget in -- this might be inefficient
if g.get_app_num_args ∈ l ∧ test g.get_app_args.head then
-- interchange `x` and the last argument of `g`
some $ apply_replacement_fun g.app_fn (apply_replacement_fun x) $
apply_replacement_fun g.app_arg else
if g.is_constant ∧ ¬ test x then some $ g (apply_replacement_fun x) else none
| _ := none
end
end expr
/-! ### Declarations about `environment` -/
namespace environment
/-- Tests whether `n` is a structure. -/
meta def is_structure (env : environment) (n : name) : bool :=
(env.structure_fields n).is_some
/-- Get the full names of all projections of the structure `n`. Returns `none` if `n` is not a
structure. -/
meta def structure_fields_full (env : environment) (n : name) : option (list name) :=
(env.structure_fields n).map (list.map $ λ n', n ++ n')
/-- Tests whether `nm` is a generalized inductive type that is not a normal inductive type.
Note that `is_ginductive` returns `tt` even on regular inductive types.
This returns `tt` if `nm` is (part of a) mutually defined inductive type or a nested inductive
type. -/
meta def is_ginductive' (e : environment) (nm : name) : bool :=
e.is_ginductive nm ∧ ¬ e.is_inductive nm
/-- For all declarations `d` where `f d = some x` this adds `x` to the returned list. -/
meta def decl_filter_map {α : Type} (e : environment) (f : declaration → option α) : list α :=
e.fold [] $ λ d l, match f d with
| some r := r :: l
| none := l
end
/-- Maps `f` to all declarations in the environment. -/
meta def decl_map {α : Type} (e : environment) (f : declaration → α) : list α :=
e.decl_filter_map $ λ d, some (f d)
/-- Lists all declarations in the environment -/
meta def get_decls (e : environment) : list declaration :=
e.decl_map id
/-- Lists all trusted (non-meta) declarations in the environment -/
meta def get_trusted_decls (e : environment) : list declaration :=
e.decl_filter_map (λ d, if d.is_trusted then some d else none)
/-- Lists the name of all declarations in the environment -/
meta def get_decl_names (e : environment) : list name :=
e.decl_map declaration.to_name
/-- Fold a monad over all declarations in the environment. -/
meta def mfold {α : Type} {m : Type → Type} [monad m] (e : environment) (x : α)
(fn : declaration → α → m α) : m α :=
e.fold (return x) (λ d t, t >>= fn d)
/-- Filters all declarations in the environment. -/
meta def filter (e : environment) (test : declaration → bool) : list declaration :=
e.fold [] $ λ d ds, if test d then d::ds else ds
/-- Filters all declarations in the environment. -/
meta def mfilter (e : environment) (test : declaration → tactic bool) : tactic (list declaration) :=
e.mfold [] $ λ d ds, do b ← test d, return $ if b then d::ds else ds
/-- Checks whether `s` is a prefix of the file where `n` is declared.
This is used to check whether `n` is declared in mathlib, where `s` is the mathlib directory. -/
meta def is_prefix_of_file (e : environment) (s : string) (n : name) : bool :=
s.is_prefix_of $ (e.decl_olean n).get_or_else ""
end environment
/-!
### `is_eta_expansion`
In this section we define the tactic `is_eta_expansion` which checks whether an expression
is an eta-expansion of a structure. (not to be confused with eta-expanion for `λ`).
-/
namespace expr
open tactic
/-- `is_eta_expansion_of args univs l` checks whether for all elements `(nm, pr)` in `l` we have
`pr = nm.{univs} args`.
Used in `is_eta_expansion`, where `l` consists of the projections and the fields of the value we
want to eta-reduce. -/
meta def is_eta_expansion_of (args : list expr) (univs : list level) (l : list (name × expr)) :
bool :=
l.all $ λ⟨proj, val⟩, val = (const proj univs).mk_app args
/-- `is_eta_expansion_test l` checks whether there is a list of expresions `args` such that for all
elements `(nm, pr)` in `l` we have `pr = nm args`. If so, returns the last element of `args`.
Used in `is_eta_expansion`, where `l` consists of the projections and the fields of the value we
want to eta-reduce. -/
meta def is_eta_expansion_test : list (name × expr) → option expr
| [] := none
| (⟨proj, val⟩::l) :=
match val.get_app_fn with
| (const nm univs : expr) :=
if nm = proj then
let args := val.get_app_args in
let e := args.ilast in
if is_eta_expansion_of args univs l then some e else none
else
none
| _ := none
end
/-- `is_eta_expansion_aux val l` checks whether `val` can be eta-reduced to an expression `e`.
Here `l` is intended to consists of the projections and the fields of `val`.
This tactic calls `is_eta_expansion_test l`, but first removes all proofs from the list `l` and
afterward checks whether the resulting expression `e` unifies with `val`.
This last check is necessary, because `val` and `e` might have different types. -/
meta def is_eta_expansion_aux (val : expr) (l : list (name × expr)) : tactic (option expr) :=
do l' ← l.mfilter (λ⟨proj, val⟩, bnot <$> is_proof val),
match is_eta_expansion_test l' with
| some e := option.map (λ _, e) <$> try_core (unify e val)
| none := return none
end
/-- `is_eta_expansion val` checks whether there is an expression `e` such that `val` is the
eta-expansion of `e`.
With eta-expansion we here mean the eta-expansion of a structure, not of a function.
For example, the eta-expansion of `x : α × β` is `⟨x.1, x.2⟩`.
This assumes that `val` is a fully-applied application of the constructor of a structure.
This is useful to reduce expressions generated by the notation
`{ field_1 := _, ..other_structure }`
If `other_structure` is itself a field of the structure, then the elaborator will insert an
eta-expanded version of `other_structure`. -/
meta def is_eta_expansion (val : expr) : tactic (option expr) := do
e ← get_env,
type ← infer_type val,
projs ← e.structure_fields_full type.get_app_fn.const_name,
let args := (val.get_app_args).drop type.get_app_args.length,
is_eta_expansion_aux val (projs.zip args)
end expr
/-! ### Declarations about `declaration` -/
namespace declaration
open tactic
/--
`declaration.update_with_fun f test tgt decl`
sets the name of the given `decl : declaration` to `tgt`, and applies both `expr.eta_expand` and
`expr.apply_replacement_fun` to the value and type of `decl`.
-/
protected meta def update_with_fun (env : environment) (f : name → name) (test : expr → bool)
(reorder : name_map $ list ℕ) (tgt : name) (decl : declaration) : declaration :=
let decl := decl.update_name $ tgt in
let decl := decl.update_type $
(decl.type.eta_expand env reorder).apply_replacement_fun f test reorder in
decl.update_value $ (decl.value.eta_expand env reorder).apply_replacement_fun f test reorder
/-- Checks whether the declaration is declared in the current file.
This is a simple wrapper around `environment.in_current_file`
Use `environment.in_current_file` instead if performance matters. -/
meta def in_current_file (d : declaration) : tactic bool :=
do e ← get_env, return $ e.in_current_file d.to_name
/-- Checks whether a declaration is a theorem -/
meta def is_theorem : declaration → bool
| (thm _ _ _ _) := tt
| _ := ff
/-- Checks whether a declaration is a constant -/
meta def is_constant : declaration → bool
| (cnst _ _ _ _) := tt
| _ := ff
/-- Checks whether a declaration is a axiom -/
meta def is_axiom : declaration → bool
| (ax _ _ _) := tt
| _ := ff
/-- Checks whether a declaration is automatically generated in the environment.
There is no cheap way to check whether a declaration in the namespace of a generalized
inductive type is automatically generated, so for now we say that all of them are automatically
generated. -/
meta def is_auto_generated (e : environment) (d : declaration) : bool :=
e.is_constructor d.to_name ∨
(e.is_projection d.to_name).is_some ∨
(e.is_constructor d.to_name.get_prefix ∧
d.to_name.last ∈ ["inj", "inj_eq", "sizeof_spec", "inj_arrow"]) ∨
(e.is_inductive d.to_name.get_prefix ∧
d.to_name.last ∈ ["below", "binduction_on", "brec_on", "cases_on", "dcases_on", "drec_on", "drec",
"rec", "rec_on", "no_confusion", "no_confusion_type", "sizeof", "ibelow", "has_sizeof_inst"]) ∨
d.to_name.has_prefix (λ nm, e.is_ginductive' nm)
/--
Returns true iff `d` is an automatically-generated or internal declaration.
-/
meta def is_auto_or_internal (env : environment) (d : declaration) : bool :=
d.to_name.is_internal || d.is_auto_generated env
/-- Returns the list of universe levels of a declaration. -/
meta def univ_levels (d : declaration) : list level :=
d.univ_params.map level.param
/-- Returns the `reducibility_hints` field of a `defn`, and `reducibility_hints.opaque` otherwise -/
protected meta def reducibility_hints : declaration → reducibility_hints
| (declaration.defn _ _ _ _ red _) := red
| _ := _root_.reducibility_hints.opaque
/-- formats the arguments of a `declaration.thm` -/
private meta def print_thm (nm : name) (tp : expr) (body : task expr) : tactic format :=
do tp ← pp tp, body ← pp body.get,
return $ "<theorem " ++ to_fmt nm ++ " : " ++ tp ++ " := " ++ body ++ ">"
/-- formats the arguments of a `declaration.defn` -/
private meta def print_defn (nm : name) (tp : expr) (body : expr) (is_trusted : bool) :
tactic format :=
do tp ← pp tp, body ← pp body,
return $ "<" ++ (if is_trusted then "def " else "meta def ") ++ to_fmt nm ++ " : " ++ tp ++
" := " ++ body ++ ">"
/-- formats the arguments of a `declaration.cnst` -/
private meta def print_cnst (nm : name) (tp : expr) (is_trusted : bool) : tactic format :=
do tp ← pp tp,
return $ "<" ++ (if is_trusted then "constant " else "meta constant ") ++ to_fmt nm ++ " : "
++ tp ++ ">"
/-- formats the arguments of a `declaration.ax` -/
private meta def print_ax (nm : name) (tp : expr) : tactic format :=
do tp ← pp tp,
return $ "<axiom " ++ to_fmt nm ++ " : " ++ tp ++ ">"
/-- pretty-prints a `declaration` object. -/
meta def to_tactic_format : declaration → tactic format
| (declaration.thm nm _ tp bd) := print_thm nm tp bd
| (declaration.defn nm _ tp bd _ is_trusted) := print_defn nm tp bd is_trusted
| (declaration.cnst nm _ tp is_trusted) := print_cnst nm tp is_trusted
| (declaration.ax nm _ tp) := print_ax nm tp
meta instance : has_to_tactic_format declaration :=
⟨to_tactic_format⟩
end declaration
meta instance pexpr.decidable_eq {elab} : decidable_eq (expr elab) :=
unchecked_cast
expr.has_decidable_eq
|
e5432bf40f33d8516e64fcac4ba13d5ed6aec741 | 8bc788d9207355e58d488b937277f2a896073409 | /benchmark.lean | 41fedc0faf440905049eeb93db6d744572c891e4 | [
"MIT"
] | permissive | lacker/lean4perf | d48c586f8108eb8239c772b5e9caf40691f58ce1 | 208c5c42743560f0b40faf1f1bf8e0f8ddb4f6f3 | refs/heads/master | 1,676,253,574,499 | 1,609,974,596,000 | 1,609,974,596,000 | 327,435,770 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 272 | lean | import Std.Data.HashMap
def main (args : List String) : IO Unit := do
let mut map : Std.HashMap String Nat := Std.HashMap.empty
for n in [0:10000000] do
map := map.insert (toString n) n
IO.print "ran "
IO.print (toString map.size)
IO.print " map inserts\n"
|
59f2cee50ecbd4acf337e40c2ea2b08b19a34233 | b7f22e51856f4989b970961f794f1c435f9b8f78 | /library/data/stream.lean | 9b4acacc98184b1d26096daef46ff5c75c7bee44 | [
"Apache-2.0"
] | permissive | soonhokong/lean | cb8aa01055ffe2af0fb99a16b4cda8463b882cd1 | 38607e3eb57f57f77c0ac114ad169e9e4262e24f | refs/heads/master | 1,611,187,284,081 | 1,450,766,737,000 | 1,476,122,547,000 | 11,513,992 | 2 | 0 | null | 1,401,763,102,000 | 1,374,182,235,000 | C++ | UTF-8 | Lean | false | false | 22,584 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura
-/
import data.nat data.list data.equiv
open nat function option
definition stream (A : Type) := nat → A
namespace stream
variables {A B C : Type}
definition cons (a : A) (s : stream A) : stream A :=
λ i,
match i with
| 0 := a
| succ n := s n
end
notation h :: t := cons h t
definition head [reducible] (s : stream A) : A :=
s 0
definition tail (s : stream A) : stream A :=
λ i, s (i+1)
definition drop (n : nat) (s : stream A) : stream A :=
λ i, s (i+n)
definition nth [reducible] (n : nat) (s : stream A) : A :=
s n
protected theorem eta (s : stream A) : head s :: tail s = s :=
funext (λ i, begin cases i, repeat reflexivity end)
theorem nth_zero_cons (a : A) (s : stream A) : nth 0 (a :: s) = a :=
rfl
theorem head_cons (a : A) (s : stream A) : head (a :: s) = a :=
rfl
theorem tail_cons (a : A) (s : stream A) : tail (a :: s) = s :=
rfl
theorem tail_drop (n : nat) (s : stream A) : tail (drop n s) = drop n (tail s) :=
funext (λ i, begin esimp [tail, drop], congruence, rewrite add.right_comm end)
theorem nth_drop (n m : nat) (s : stream A) : nth n (drop m s) = nth (n+m) s :=
rfl
theorem tail_eq_drop (s : stream A) : tail s = drop 1 s :=
rfl
theorem drop_drop (n m : nat) (s : stream A) : drop n (drop m s) = drop (n+m) s :=
funext (λ i, begin esimp [drop], rewrite add.assoc end)
theorem nth_succ (n : nat) (s : stream A) : nth (succ n) s = nth n (tail s) :=
rfl
theorem drop_succ (n : nat) (s : stream A) : drop (succ n) s = drop n (tail s) :=
rfl
protected theorem ext {s₁ s₂ : stream A} : (∀ n, nth n s₁ = nth n s₂) → s₁ = s₂ :=
assume h, funext h
definition all (p : A → Prop) (s : stream A) := ∀ n, p (nth n s)
definition any (p : A → Prop) (s : stream A) := ∃ n, p (nth n s)
theorem all_def (p : A → Prop) (s : stream A) : all p s = ∀ n, p (nth n s) :=
rfl
theorem any_def (p : A → Prop) (s : stream A) : any p s = ∃ n, p (nth n s) :=
rfl
definition mem (a : A) (s : stream A) := any (λ b, a = b) s
notation e ∈ s := mem e s
theorem mem_cons (a : A) (s : stream A) : a ∈ (a::s) :=
exists.intro 0 rfl
theorem mem_cons_of_mem {a : A} {s : stream A} (b : A) : a ∈ s → a ∈ b :: s :=
assume ains, obtain n (h : a = nth n s), from ains,
exists.intro (succ n) (by rewrite [nth_succ, tail_cons, h])
theorem eq_or_mem_of_mem_cons {a b : A} {s : stream A} : a ∈ b::s → a = b ∨ a ∈ s :=
assume ainbs, obtain n (h : a = nth n (b::s)), from ainbs,
begin
cases n with n',
{left, exact h},
{right, rewrite [nth_succ at h, tail_cons at h], existsi n', exact h}
end
theorem mem_of_nth_eq {n : nat} {s : stream A} {a : A} : a = nth n s → a ∈ s :=
assume h, exists.intro n h
section map
variable (f : A → B)
definition map (s : stream A) : stream B :=
λ n, f (nth n s)
theorem drop_map (n : nat) (s : stream A) : drop n (map f s) = map f (drop n s) :=
stream.ext (λ i, rfl)
theorem nth_map (n : nat) (s : stream A) : nth n (map f s) = f (nth n s) :=
rfl
theorem tail_map (s : stream A) : tail (map f s) = map f (tail s) :=
begin rewrite tail_eq_drop end
theorem head_map (s : stream A) : head (map f s) = f (head s) :=
rfl
theorem map_eq (s : stream A) : map f s = f (head s) :: map f (tail s) :=
by rewrite [-stream.eta (map f s), tail_map, head_map]
theorem map_cons (a : A) (s : stream A) : map f (a :: s) = f a :: map f s :=
by rewrite [-stream.eta (map f (a :: s)), map_eq]
theorem map_id (s : stream A) : map id s = s :=
rfl
theorem map_map (g : B → C) (f : A → B) (s : stream A) : map g (map f s) = map (g ∘ f) s :=
rfl
theorem mem_map {a : A} {s : stream A} : a ∈ s → f a ∈ map f s :=
assume ains, obtain n (h : a = nth n s), from ains,
exists.intro n (by rewrite [nth_map, h])
end map
section zip
variable (f : A → B → C)
definition zip (s₁ : stream A) (s₂ : stream B) : stream C :=
λ n, f (nth n s₁) (nth n s₂)
theorem drop_zip (n : nat) (s₁ : stream A) (s₂ : stream B) : drop n (zip f s₁ s₂) = zip f (drop n s₁) (drop n s₂) :=
stream.ext (λ i, rfl)
theorem nth_zip (n : nat) (s₁ : stream A) (s₂ : stream B) : nth n (zip f s₁ s₂) = f (nth n s₁) (nth n s₂) :=
rfl
theorem head_zip (s₁ : stream A) (s₂ : stream B) : head (zip f s₁ s₂) = f (head s₁) (head s₂) :=
rfl
theorem tail_zip (s₁ : stream A) (s₂ : stream B) : tail (zip f s₁ s₂) = zip f (tail s₁) (tail s₂) :=
rfl
theorem zip_eq (s₁ : stream A) (s₂ : stream B) : zip f s₁ s₂ = f (head s₁) (head s₂) :: zip f (tail s₁) (tail s₂) :=
by rewrite [-stream.eta (zip f s₁ s₂)]
end zip
definition const (a : A) : stream A :=
λ n, a
theorem mem_const (a : A) : a ∈ const a :=
exists.intro 0 rfl
theorem const_eq (a : A) : const a = a :: const a :=
begin
apply stream.ext, intro n,
cases n, repeat reflexivity
end
theorem tail_const (a : A) : tail (const a) = const a :=
by rewrite [const_eq at {1}]
theorem map_const (f : A → B) (a : A) : map f (const a) = const (f a) :=
rfl
theorem nth_const (n : nat) (a : A) : nth n (const a) = a :=
rfl
theorem drop_const (n : nat) (a : A) : drop n (const a) = const a :=
stream.ext (λ i, rfl)
definition iterate (f : A → A) (a : A) : stream A :=
λ n, nat.rec_on n a (λ n r, f r)
theorem head_iterate (f : A → A) (a : A) : head (iterate f a) = a :=
rfl
theorem tail_iterate (f : A → A) (a : A) : tail (iterate f a) = iterate f (f a) :=
begin
apply funext, intro n,
induction n with n' IH,
{reflexivity},
{esimp [tail, iterate] at *,
rewrite add_one at *,
esimp at *, rewrite IH}
end
theorem iterate_eq (f : A → A) (a : A) : iterate f a = a :: iterate f (f a) :=
begin
rewrite [-stream.eta (iterate f a)], congruence, exact !tail_iterate
end
theorem nth_zero_iterate (f : A → A) (a : A) : nth 0 (iterate f a) = a :=
rfl
theorem nth_succ_iterate (n : nat) (f : A → A) (a : A) : nth (succ n) (iterate f a) = nth n (iterate f (f a)) :=
by rewrite [nth_succ, tail_iterate]
section bisim
variable (R : stream A → stream A → Prop)
local infix ~ := R
definition is_bisimulation := ∀ ⦃s₁ s₂⦄, s₁ ~ s₂ → head s₁ = head s₂ ∧ tail s₁ ~ tail s₂
lemma nth_of_bisim (bisim : is_bisimulation R) : ∀ {s₁ s₂} n, s₁ ~ s₂ → nth n s₁ = nth n s₂ ∧ drop (n+1) s₁ ~ drop (n+1) s₂
| s₁ s₂ 0 h := bisim h
| s₁ s₂ (n+1) h :=
obtain h₁ (trel : tail s₁ ~ tail s₂), from bisim h,
nth_of_bisim n trel
-- If two streams are bisimilar, then they are equal
theorem eq_of_bisim (bisim : is_bisimulation R) : ∀ {s₁ s₂}, s₁ ~ s₂ → s₁ = s₂ :=
λ s₁ s₂ r, stream.ext (λ n, and.elim_left (nth_of_bisim R bisim n r))
end bisim
theorem bisim_simple (s₁ s₂ : stream A) : head s₁ = head s₂ → s₁ = tail s₁ → s₂ = tail s₂ → s₁ = s₂ :=
assume hh ht₁ ht₂, eq_of_bisim
(λ s₁ s₂, head s₁ = head s₂ ∧ s₁ = tail s₁ ∧ s₂ = tail s₂)
(λ s₁ s₂ h,
obtain h₁ h₂ h₃, from h,
begin
constructor, exact h₁, rewrite [-h₂, -h₃], exact h
end)
(and.intro hh (and.intro ht₁ ht₂))
-- AKA coinduction freeze
theorem coinduction.{l} {A : Type.{l}} {s₁ s₂ : stream A} :
head s₁ = head s₂ → (∀ (B : Type.{l}) (fr : stream A → B), fr s₁ = fr s₂ → fr (tail s₁) = fr (tail s₂)) → s₁ = s₂ :=
assume hh ht,
eq_of_bisim
(λ s₁ s₂, head s₁ = head s₂ ∧ ∀ (B : Type) (fr : stream A → B), fr s₁ = fr s₂ → fr (tail s₁) = fr (tail s₂))
(λ s₁ s₂ h,
have h₁ : head s₁ = head s₂, from and.elim_left h,
have h₂ : head (tail s₁) = head (tail s₂), from and.elim_right h A (@head A) h₁,
have h₃ : ∀ (B : Type) (fr : stream A → B), fr (tail s₁) = fr (tail s₂) → fr (tail (tail s₁)) = fr (tail (tail s₂)), from
λ B fr, and.elim_right h B (λ s, fr (tail s)),
and.intro h₁ (and.intro h₂ h₃))
(and.intro hh ht)
theorem iterate_id (a : A) : iterate id a = const a :=
coinduction
rfl
(λ B fr ch, by rewrite [tail_iterate, tail_const]; exact ch)
local attribute stream [reducible]
theorem map_iterate (f : A → A) (a : A) : iterate f (f a) = map f (iterate f a) :=
begin
apply funext, intro n,
induction n with n' IH,
{reflexivity},
{ esimp [map, iterate, nth] at *,
rewrite IH }
end
section corec
definition corec (f : A → B) (g : A → A) : A → stream B :=
λ a, map f (iterate g a)
theorem corec_def (f : A → B) (g : A → A) (a : A) : corec f g a = map f (iterate g a) :=
rfl
theorem corec_eq (f : A → B) (g : A → A) (a : A) : corec f g a = f a :: corec f g (g a) :=
by rewrite [corec_def, map_eq, head_iterate, tail_iterate]
theorem corec_id_id_eq_const (a : A) : corec id id a = const a :=
by rewrite [corec_def, map_id, iterate_id]
theorem corec_id_f_eq_iterate (f : A → A) (a : A) : corec id f a = iterate f a :=
rfl
end corec
-- corec is also known as unfold
definition unfolds (g : A → B) (f : A → A) (a : A) : stream B :=
corec g f a
theorem unfolds_eq (g : A → B) (f : A → A) (a : A) : unfolds g f a = g a :: unfolds g f (f a) :=
by esimp [ unfolds ]; rewrite [corec_eq]
theorem nth_unfolds_head_tail : ∀ (n : nat) (s : stream A), nth n (unfolds head tail s) = nth n s :=
begin
intro n, induction n with n' ih,
{intro s, reflexivity},
{intro s, rewrite [*nth_succ, unfolds_eq, tail_cons, ih]}
end
theorem unfolds_head_eq : ∀ (s : stream A), unfolds head tail s = s :=
λ s, stream.ext (λ n, nth_unfolds_head_tail n s)
definition interleave (s₁ s₂ : stream A) : stream A :=
corec
(λ p, obtain s₁ s₂, from p, head s₁)
(λ p, obtain s₁ s₂, from p, (s₂, tail s₁))
(s₁, s₂)
infix `⋈`:65 := interleave
theorem interleave_eq (s₁ s₂ : stream A) : s₁ ⋈ s₂ = head s₁ :: head s₂ :: (tail s₁ ⋈ tail s₂) :=
begin
esimp [interleave], rewrite corec_eq, esimp, congruence, rewrite corec_eq
end
theorem tail_interleave (s₁ s₂ : stream A) : tail (s₁ ⋈ s₂) = s₂ ⋈ (tail s₁) :=
by esimp [interleave]; rewrite corec_eq
theorem interleave_tail_tail (s₁ s₂ : stream A) : tail s₁ ⋈ tail s₂ = tail (tail (s₁ ⋈ s₂)) :=
by rewrite [interleave_eq s₁ s₂]
theorem nth_interleave_left : ∀ (n : nat) (s₁ s₂ : stream A), nth (2*n) (s₁ ⋈ s₂) = nth n s₁
| 0 s₁ s₂ := rfl
| (succ n) s₁ s₂ :=
begin
change nth (succ (succ (2*n))) (s₁ ⋈ s₂) = nth (succ n) s₁,
rewrite [*nth_succ, interleave_eq, *tail_cons, nth_interleave_left]
end
theorem nth_interleave_right : ∀ (n : nat) (s₁ s₂ : stream A), nth (2*n+1) (s₁ ⋈ s₂) = nth n s₂
| 0 s₁ s₂ := rfl
| (succ n) s₁ s₂ :=
begin
change nth (succ (succ (2*n+1))) (s₁ ⋈ s₂) = nth (succ n) s₂,
rewrite [*nth_succ, interleave_eq, *tail_cons, nth_interleave_right]
end
theorem mem_interleave_left {a : A} {s₁ : stream A} (s₂ : stream A) : a ∈ s₁ → a ∈ s₁ ⋈ s₂ :=
assume ains₁, obtain n h, from ains₁,
exists.intro (2*n) (by rewrite [h, nth_interleave_left])
theorem mem_interleave_right {a : A} {s₁ : stream A} (s₂ : stream A) : a ∈ s₂ → a ∈ s₁ ⋈ s₂ :=
assume ains₂, obtain n h, from ains₂,
exists.intro (2*n+1) (by rewrite [h, nth_interleave_right])
definition even (s : stream A) : stream A :=
corec
(λ s, head s)
(λ s, tail (tail s))
s
definition odd (s : stream A) : stream A :=
even (tail s)
theorem odd_eq (s : stream A) : odd s = even (tail s) :=
rfl
theorem head_even (s : stream A) : head (even s) = head s :=
rfl
theorem tail_even (s : stream A) : tail (even s) = even (tail (tail s)) :=
by esimp [even]; rewrite corec_eq
theorem even_cons_cons (a₁ a₂ : A) (s : stream A) : even (a₁ :: a₂ :: s) = a₁ :: even s :=
by esimp [even]; rewrite corec_eq
theorem even_tail (s : stream A) : even (tail s) = odd s :=
rfl
theorem even_interleave (s₁ s₂ : stream A) : even (s₁ ⋈ s₂) = s₁ :=
eq_of_bisim
(λ s₁' s₁, ∃ s₂, s₁' = even (s₁ ⋈ s₂))
(λ s₁' s₁ h,
obtain s₂ (h₁ : s₁' = even (s₁ ⋈ s₂)), from h,
begin
rewrite h₁,
constructor,
{reflexivity},
{existsi (tail s₂),
rewrite [interleave_eq, even_cons_cons, tail_cons]}
end)
(exists.intro s₂ rfl)
theorem interleave_even_odd (s₁ : stream A) : even s₁ ⋈ odd s₁ = s₁ :=
eq_of_bisim
(λ s' s, s' = even s ⋈ odd s)
(λ s' s (h : s' = even s ⋈ odd s),
begin
rewrite h, constructor,
{reflexivity},
{esimp, rewrite [*odd_eq, tail_interleave, tail_even]}
end)
rfl
theorem nth_even : ∀ (n : nat) (s : stream A), nth n (even s) = nth (2*n) s
| 0 s := rfl
| (succ n) s :=
begin
change nth (succ n) (even s) = nth (succ (succ (2 * n))) s,
rewrite [+nth_succ, tail_even, nth_even]
end
theorem nth_odd : ∀ (n : nat) (s : stream A), nth n (odd s) = nth (2*n + 1) s :=
λ n s, by rewrite [odd_eq, nth_even]
theorem mem_of_mem_even (a : A) (s : stream A) : a ∈ even s → a ∈ s :=
assume aines, obtain n h, from aines,
exists.intro (2*n) (by rewrite [h, nth_even])
theorem mem_of_mem_odd (a : A) (s : stream A) : a ∈ odd s → a ∈ s :=
assume ainos, obtain n h, from ainos,
exists.intro (2*n+1) (by rewrite [h, nth_odd])
open list
definition append : list A → stream A → stream A
| [] s := s
| (a::l) s := a :: append l s
theorem nil_append (s : stream A) : append [] s = s :=
rfl
theorem cons_append (a : A) (l : list A) (s : stream A) : append (a::l) s = a :: append l s :=
rfl
infix ++ := append
-- the following local notation is used just to make the following theorem clear
local infix `++ₛ`:65 := append
theorem append_append : ∀ (l₁ l₂ : list A) (s : stream A), (l₁ ++ l₂) ++ₛ s = l₁ ++ (l₂ ++ₛ s)
| [] l₂ s := rfl
| (a::l₁) l₂ s := by rewrite [list.append_cons, *cons_append, append_append]
theorem map_append (f : A → B) : ∀ (l : list A) (s : stream A), map f (l ++ s) = list.map f l ++ map f s
| [] s := rfl
| (a::l) s := by rewrite [cons_append, list.map_cons, map_cons, cons_append, map_append]
theorem drop_append : ∀ (l : list A) (s : stream A), drop (length l) (l ++ s) = s
| [] s := by esimp
| (a::l) s := by rewrite [length_cons, add_one, drop_succ, cons_append, tail_cons, drop_append]
theorem append_head_tail (s : stream A) : [head s] ++ tail s = s :=
by rewrite [cons_append, nil_append, stream.eta]
theorem mem_append_right : ∀ {a : A} (l : list A) {s : stream A}, a ∈ s → a ∈ l ++ s
| a [] s h := h
| a (b::l) s h :=
have ih : a ∈ l ++ s, from mem_append_right l h,
!mem_cons_of_mem ih
theorem mem_append_left : ∀ {a : A} {l : list A} (s : stream A), a ∈ l → a ∈ l ++ s
| a [] s h := absurd h !not_mem_nil
| a (b::l) s h :=
or.elim (list.eq_or_mem_of_mem_cons h)
(λ (aeqb : a = b), exists.intro 0 aeqb)
(λ (ainl : a ∈ l), mem_cons_of_mem b (mem_append_left s ainl))
definition approx : nat → stream A → list A
| 0 s := []
| (n+1) s := head s :: approx n (tail s)
theorem approx_zero (s : stream A) : approx 0 s = [] :=
rfl
theorem approx_succ (n : nat) (s : stream A) : approx (succ n) s = head s :: approx n (tail s) :=
rfl
theorem nth_approx : ∀ (n : nat) (s : stream A), list.nth (approx (succ n) s) n = some (nth n s)
| 0 s := rfl
| (n+1) s := begin rewrite [approx_succ, add_one, list.nth_succ, nth_approx] end
theorem append_approx_drop : ∀ (n : nat) (s : stream A), append (approx n s) (drop n s) = s :=
begin
intro n,
induction n with n' ih,
{intro s, reflexivity},
{intro s, rewrite [approx_succ, drop_succ, cons_append, ih (tail s), stream.eta]}
end
-- Take lemma reduces a proof of equality of infinite streams to an
-- induction over all their finite approximations.
theorem take_lemma (s₁ s₂ : stream A) : (∀ (n : nat), approx n s₁ = approx n s₂) → s₁ = s₂ :=
begin
intro h, apply stream.ext, intro n,
induction n with n ih,
{injection (h 1) with aux, exact aux},
{have h₁ : some (nth (succ n) s₁) = some (nth (succ n) s₂), by rewrite [-*nth_approx, h (succ (succ n))],
injection h₁, assumption}
end
-- auxiliary definition for cycle corecursive definition
private definition cycle_f : A × list A × A × list A → A
| (v, _, _, _) := v
-- auxiliary definition for cycle corecursive definition
private definition cycle_g : A × list A × A × list A → A × list A × A × list A
| (v₁, [], v₀, l₀) := (v₀, l₀, v₀, l₀)
| (v₁, v₂::l₂, v₀, l₀) := (v₂, l₂, v₀, l₀)
private lemma cycle_g_cons (a : A) (a₁ : A) (l₁ : list A) (a₀ : A) (l₀ : list A) :
cycle_g (a, a₁::l₁, a₀, l₀) = (a₁, l₁, a₀, l₀) :=
rfl
definition cycle : Π (l : list A), l ≠ nil → stream A
| [] h := absurd rfl h
| (a::l) h := corec cycle_f cycle_g (a, l, a, l)
theorem cycle_eq : ∀ (l : list A) (h : l ≠ nil), cycle l h = l ++ cycle l h
| [] h := absurd rfl h
| (a::l) h :=
have gen : ∀ l' a', corec cycle_f cycle_g (a', l', a, l) = (a' :: l') ++ₛ corec cycle_f cycle_g (a, l, a, l),
begin
intro l',
induction l' with a₁ l₁ ih,
{intro a', rewrite [corec_eq]},
{intro a', rewrite [corec_eq, cycle_g_cons, ih a₁]}
end,
gen l a
theorem mem_cycle {a : A} {l : list A} : ∀ (h : l ≠ []), a ∈ l → a ∈ cycle l h :=
assume h ainl, by rewrite [cycle_eq]; exact !mem_append_left ainl
theorem cycle_singleton (a : A) (h : [a] ≠ nil) : cycle [a] h = const a :=
coinduction
rfl
(λ B fr ch, by rewrite [cycle_eq, const_eq]; exact ch)
definition tails (s : stream A) : stream (stream A) :=
corec id tail (tail s)
theorem tails_eq (s : stream A) : tails s = tail s :: tails (tail s) :=
by esimp [tails]; rewrite [corec_eq]
theorem nth_tails : ∀ (n : nat) (s : stream A), nth n (tails s) = drop n (tail s) :=
begin
intro n, induction n with n' ih,
{intros, reflexivity},
{intro s, rewrite [nth_succ, drop_succ, tails_eq, tail_cons, ih]}
end
theorem tails_eq_iterate (s : stream A) : tails s = iterate tail (tail s) :=
rfl
definition inits_core (l : list A) (s : stream A) : stream (list A) :=
corec
prod.pr1
(λ p, match p with (l', s') := (l' ++ [head s'], tail s') end)
(l, s)
definition inits (s : stream A) : stream (list A) :=
inits_core [head s] (tail s)
theorem inits_core_eq (l : list A) (s : stream A) : inits_core l s = l :: inits_core (l ++ [head s]) (tail s) :=
by esimp [inits_core]; rewrite [corec_eq]
theorem tail_inits (s : stream A) : tail (inits s) = inits_core [head s, head (tail s)] (tail (tail s)) :=
by esimp [inits]; rewrite inits_core_eq
theorem inits_tail (s : stream A) : inits (tail s) = inits_core [head (tail s)] (tail (tail s)) :=
rfl
theorem cons_nth_inits_core : ∀ (a : A) (n : nat) (l : list A) (s : stream A),
a :: nth n (inits_core l s) = nth n (inits_core (a::l) s) :=
begin
intro a n,
induction n with n' ih,
{intros, reflexivity},
{intro l s, rewrite [*nth_succ, inits_core_eq, +tail_cons, ih, inits_core_eq (a::l) s] }
end
theorem nth_inits : ∀ (n : nat) (s : stream A), nth n (inits s) = approx (succ n) s :=
begin
intro n, induction n with n' ih,
{intros, reflexivity},
{intros, rewrite [nth_succ, approx_succ, -ih, tail_inits, inits_tail, cons_nth_inits_core]}
end
theorem inits_eq (s : stream A) : inits s = [head s] :: map (list.cons (head s)) (inits (tail s)) :=
begin
apply stream.ext, intro n,
cases n,
{reflexivity},
{rewrite [nth_inits, nth_succ, tail_cons, nth_map, nth_inits]}
end
theorem zip_inits_tails (s : stream A) : zip append (inits s) (tails s) = const s :=
begin
apply stream.ext, intro n,
rewrite [nth_zip, nth_inits, nth_tails, nth_const, approx_succ,
cons_append, append_approx_drop, stream.eta]
end
definition pure (a : A) : stream A :=
const a
definition apply (f : stream (A → B)) (s : stream A) : stream B :=
λ n, (nth n f) (nth n s)
infix `⊛`:75 := apply -- input as \o*
theorem identity (s : stream A) : pure id ⊛ s = s :=
rfl
theorem composition (g : stream (B → C)) (f : stream (A → B)) (s : stream A) : pure comp ⊛ g ⊛ f ⊛ s = g ⊛ (f ⊛ s) :=
rfl
theorem homomorphism (f : A → B) (a : A) : pure f ⊛ pure a = pure (f a) :=
rfl
theorem interchange (fs : stream (A → B)) (a : A) : fs ⊛ pure a = pure (λ f, f a) ⊛ fs :=
rfl
theorem map_eq_apply (f : A → B) (s : stream A) : map f s = pure f ⊛ s :=
rfl
definition nats : stream nat :=
λ n, n
theorem nth_nats (n : nat) : nth n nats = n :=
rfl
theorem nats_eq : nats = 0 :: map succ nats :=
begin
apply stream.ext, intro n,
cases n, reflexivity, rewrite [nth_succ]
end
section
open equiv
lemma stream_equiv_of_equiv {A B : Type} : A ≃ B → stream A ≃ stream B
| (mk f g l r) :=
mk (map f) (map g)
begin intros, rewrite [map_map, id_of_left_inverse l, map_id] end
begin intros, rewrite [map_map, id_of_right_inverse r, map_id] end
end
definition lex (rel : A → A → Prop) (s₁ s₂ : stream A) : Prop :=
∃ i, rel (nth i s₁) (nth i s₂) ∧ ∀ j, j < i → nth j s₁ = nth j s₂
definition lex.trans {s₁ s₂ s₃} {rel : A → A → Prop} : transitive rel → lex rel s₁ s₂ → lex rel s₂ s₃ → lex rel s₁ s₃ :=
assume htrans h₁ h₂,
obtain (i₁ : nat) hlt₁ he₁, from h₁,
obtain (i₂ : nat) hlt₂ he₂, from h₂,
lt.by_cases
(λ i₁lti₂ : i₁ < i₂,
have aux : nth i₁ s₂ = nth i₁ s₃, from he₂ _ i₁lti₂,
begin
existsi i₁, split,
{rewrite -aux, exact hlt₁},
{intro j jlti₁, transitivity nth j s₂,
exact !he₁ jlti₁,
exact !he₂ (lt.trans jlti₁ i₁lti₂)}
end)
(λ i₁eqi₂ : i₁ = i₂,
begin
subst i₂, existsi i₁, split, exact htrans hlt₁ hlt₂, intro j jlti₁,
transitivity nth j s₂,
exact !he₁ jlti₁;
exact !he₂ jlti₁
end)
(λ i₂lti₁ : i₂ < i₁,
have nth i₂ s₁ = nth i₂ s₂, from he₁ _ i₂lti₁,
begin
existsi i₂, split,
{rewrite this, exact hlt₂},
{intro j jlti₂, transitivity nth j s₂,
exact !he₁ (lt.trans jlti₂ i₂lti₁),
exact !he₂ jlti₂}
end)
end stream
|
ef05cc4253ae42a5c5adced8ba5c5306afb281ad | 2f4707593665f4eac651cd5e5b39ea8eabafe0d6 | /src/tactic/easy.lean | c9deaf3a3ac680600caf24dcb9fb5fdb66c90ab9 | [] | no_license | PatrickMassot/lean-differential-topology | 941d2ac639b2c8bcfcbad85fe5ff0a4676d159e9 | 5b020daa5f935140c53408748a9f11ba02e7bf42 | refs/heads/master | 1,543,081,959,510 | 1,536,089,170,000 | 1,536,089,170,000 | 112,875,905 | 12 | 5 | null | 1,520,841,685,000 | 1,512,247,905,000 | Lean | UTF-8 | Lean | false | false | 1,176 | lean | import data.set.basic
meta def easy : tactic unit :=
`[all_goals { try { ext }, try { dsimp at * }, tauto }]
section examples
variables {α : Type*} (a b c : set α) (x : α)
example : a ∩ b ∩ c = c ∩ b ∩ a :=
by easy
example : a ∩ b ∩ a = a ∩ b :=
by easy
example : a ∩ b ∩ (a ∩ c) = a ∩ b ∩ c :=
by easy
example (x ∈ a ∩ b ∩ c) : x ∈ b :=
by easy
example (x ∈ a ∩ b ∩ c) : x ∈ b ∩ a :=
by easy
example (h : x ∈ a) (h' : x ∈ b) (h'' : x ∈ c) : x ∈ b ∩ a :=
by easy
example : x ∈ a → x ∈ b → x ∈ c → x ∈ b ∩ a :=
by easy
end examples
section tauto₀
variables p q r : Prop
variables h : p ∧ q ∨ p ∧ r
include h
example : p ∧ p :=
by easy
end tauto₀
section tauto₁
variables α : Type
variables p q r : α → Prop
variables h : (∃ x, p x ∧ q x) ∨ (∃ x, p x ∧ r x)
include h
example : ∃ x, p x :=
by easy
end tauto₁
section tauto₂
variables α : Type
variables x : α
variables p q r : α → Prop
variables h₀ : (∀ x, p x → q x → r x) ∨ r x
variables h₁ : p x
variables h₂ : q x
include h₀ h₁ h₂
example : ∃ x, r x :=
by easy
end tauto₂ |
d5783c2de2a2a04b8b8b57c4d16a7ae674454936 | 11e28114d9553ecd984ac4819661ffce3068bafe | /src/util.lean | 4936967845ffe7db715bf8d8e7041411c8e2161f | [
"MIT"
] | permissive | EdAyers/lean-subtask | 9a26eb81f0c8576effed4ca94342ae1281445c59 | 04ac5a6c3bc3bfd190af4d6dcce444ddc8914e4b | refs/heads/master | 1,586,516,665,621 | 1,558,701,948,000 | 1,558,701,948,000 | 160,983,035 | 4 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 10,002 | lean | /- Author: E.W.Ayers © 2019 -/
import data.list writer_t
open tactic
/-- Demarcate code as yet to be implemented. -/
meta def notimpl {α} : α := undefined_core "not implemented"
namespace list
universes u v
variables {α : Type u} {β : Type v}
def qsortby {α} (f : α → int) (l : list α) : list α := qsort (λ a b, f a < f b) l
def mfind {T} [alternative T] {α β} (f : α → T β) : list α → T β
|[] := failure |(h::t) := f h <|> mfind t
def bind' : (α → list β) → list α → list β := function.swap list.bind
/-- Run `f` on each element in the list, return a new list with the values which didn't fail. -/
def mchoose {T} [alternative T] (f : α → T β) : list α → T (list β)
|[] := pure []
|(h::t) := pure (λ fh rest, option.cases_on fh rest (λ fh, fh::rest))
<*> (some <$> f h <|> pure none)
<*> mchoose t
def mcollect {T} [monad T] (f : α → T (list β)) : list α → T (list β)
|l := mfoldl (λ acc x, (++ acc) <$> f x) [] l
/-- `skip n l` returns `l` with the first `n` elements removed. If `n > l.length` it returns the empty list. -/
def skip {α} : ℕ → list α → list α
|0 l := l
|(n+1) [] := []
|(n+1) (h::t) := skip n t
def maxidx {α} (f : α → int) (l : list α) : option nat :=
let o := foldl (λ (a : ℕ × option (ℕ×ℤ)) x,
let m := f x in
prod.mk (a.1 + 1) $ ((a.2 <|> some ⟨a.1,m⟩)
>>= (λ p, if m < p.2 then a.2 else some ⟨a.1,m⟩ ))
) (0,none) l
in prod.fst <$> prod.snd o
/-- Find the maximum according to the given function. -/
def maxby {α} (f : α → int) (l : list α) : option α :=
prod.fst <$> foldl (λ (acc : option(α×ℤ)) x, let m := f x in option.cases_on acc (some ⟨x,m⟩) (λ ⟨_,m'⟩, if m < m' then acc else some ⟨x,m⟩)) none l
def minby {α} (f : α → int) (l : list α) : option α :=
maxby (has_neg.neg ∘ f) l
def singleton : α → list α := ( :: [])
-- def first {α} (f : α → bool) : list α → option α
-- |[] := none
-- |(h::t) := if f h then some h else first t
def msome {T} [monad T] {α} (f : α → T bool) : list α → T bool
|[] := pure ff
|(h::t) := f h >>= λ x, if x then pure tt else msome t
def collect {β} (f : α → list β) : list α → list β := λ l, bind l f
def eq_by {α β} (f : α → β → bool) : list α → list β → bool
|[] [] := tt
|(h₁::t₁) (h₂::t₂) := f h₁ h₂ && eq_by t₁ t₂
| _ _ := ff
/-- Given a relation `f`, check that the two given lists are elementwise true according to `f`. -/
def meq_by {T} [monad T] {α β} (f : α → β → T bool) : list α → list β → T bool
|[] [] := pure tt
|(h₁::t₁) (h₂::t₂) := do r ← f h₁ h₂, if r then meq_by t₁ t₂ else pure ff
|_ _ := pure ff
private def mapi_aux {α β} (f : ℕ → α → β) : ℕ → list α → list β
|_ [] := []
|i (h::t) := (f i h) :: mapi_aux (i+1) t
/-- Map with the current index. -/
def mapi {α β} (f : ℕ → α → β) : list α → list β := mapi_aux f 0
def with_indices {α} : list α → list (ℕ × α) := mapi prod.mk
private meta def partition_many_aux {α} (equ : α → α → bool) : list α → list (list α) → list (list α)
|(h::t) acc := let ⟨eqs,non_eqs⟩ := partition (λ x, equ h x) t in partition_many_aux non_eqs (eqs :: acc)
|[] acc := acc
meta def partition_many {α} (equ : α → α → bool) : list α → list (list α)
| l := partition_many_aux equ l []
def ohead {α} : list α → option α |(h::t) := some h | [] := none
def take1 {α} : list α → list α |(h::_) := [h] | [] := []
private def map_with_rest_aux (m : α → list α → β) : list α → list α → list β → list β
| left [] acc := acc.reverse
| left (a::right) acc := map_with_rest_aux (a::left) right (m a (left.foldl (λ l x, x :: l) right) :: acc)
def map_with_rest (m : α → list α → β) : list α → list β := λ right, map_with_rest_aux m [] right []
def msplit {T : Type u → Type u} [monad T] {α β γ : Type u} (p : α → T (β ⊕ γ))
: list α → T (list β × list γ)
| l := do
⟨xs,ys⟩ ← l.mfoldl (λ (xsys : list β × list γ) a, do
⟨xs,ys⟩ ← pure xsys,
r ← p a,
pure $ sum.rec_on r (λ x, ⟨x::xs,ys⟩) (λ y, ⟨xs,y::ys⟩)
) (⟨[],[]⟩),
pure ⟨xs.reverse,ys.reverse⟩
end list
namespace tactic
open interaction_monad.result
private meta def new_goal : option expr → tactic expr
|none := mk_mvar
|(some e) := mk_meta_var e
/-- `fabricate type s` uses tactic `s` to make an instance of `type`. It saves and restores the goals of the tactic. -/
meta def fabricate (type : option expr) (strat : tactic unit) : tactic expr := do
new_g ← new_goal type,
gs ← get_goals,
set_goals [new_g],
strat,
n ← num_goals,
when (n≠0) (do
st ← read,
ppst ← pp st,
fail $ (to_fmt "fabrication failed, there are unsolved goals:\n") ++ ppst),
set_goals gs,
instantiate_mvars new_g
meta def is_success {α} (t : tactic α) : tactic bool := (t *> pure tt) <|> pure ff
/-- Throw away the main goal. -/
meta def ignore : tactic unit := do
g::gs ← get_goals | pure (),
set_goals gs
/-- If the given tactic fails, trace the failure message. -/
meta def trace_fail {α} (t : tactic α) : (tactic α) | s :=
match t s with
|(interaction_monad.result.exception msg pos _) :=
let tr : tactic unit :=
tactic.trace $ ("Exception: ":format)
++ (option.rec_on msg (to_fmt "silent") ($ ())) in
(tr >> t) s
|r := r
end
/-- Attempt to solve the main goal with assumption. Will fail if the main goal is not a prop. -/
meta def prop_assumption : tactic unit := do
isp ← target >>= is_prop,
if isp then assumption else fail "target not a Prop"
meta def hypothetically' {α} (tac : tactic α) : tactic α :=
λ s, match tac s with
|(success a _) := success a s
|(exception ms pos _) := exception ms pos s
end
/-- `trace_m x y` is an alias for `(format.join x <$> pp y) >>= trace`. -/
meta def trace_m {α} [has_to_tactic_format α]: string → α → tactic unit
|s a := do ppa ← pp a, trace $ (to_fmt s) ++ ppa
/-- Try all of the tactics in the given list and return the result from
the first one that doesn't fail. Don't do later tactics. -/
meta def try_first {α} : list (tactic α) → tactic α
| [] := failed
| (tac :: tacs) := λ s,
match tac s with
| result.success a s' := result.success a s'
| result.exception e p _ := try_first tacs s
end
end tactic
namespace expr
/-- If it's a pi, lam or elet, get the body. -/
meta def binding_body_all : expr → option expr
|(pi _ _ _ b) := some b
|(lam _ _ _ b) := some b
|(elet _ _ _ b) :=some b
|_ := none
/-- Is it a pi, lambda, app or elet? -/
meta def is_composite : expr → bool
:= λ e, e.is_pi ∨ e.is_lambda ∨ e.is_app ∨ e.is_let
-- /-- Fold `f` on all subexpressions. If `f` doesn't fail then all child subexpressions are skipped.-/
-- meta def mfold2 {T} [monad T] [alternative T] {α} (f : expr → expr → α → T α) : expr → expr → α → T α :=
-- λ e₁ e₂ a, f e₁ e₂ a <|> match e₁, e₂ with
-- |(app f₁ a₁), (app f₂ a₂) := mfold2 f₁ f₂ a >>= mfold2 a₁ a₂
-- |_,_ := if e₁ = e₂ then pure a else failure -- [TODO] not implemented.
-- end
-- #check const_name
/-- Get the pretty name if the expression is a const, local_const or mvar. -/
meta def as_name : expr → option name
|(local_const unique pretty _ _) := some unique
|(const n _) := some n
|(mvar unique pretty _) := some unique
|_ := none
meta def as_mvar : expr → option (name × name × expr)
|(mvar u p y) := some (u,p,y)
|_ := none
/-- Count the number of subexpressions in the given expression. -/
meta def size : expr → nat := λ e, fold e 0 (λ e bd n, n+1)
-- meta def trans_count : expr → nat := λ e, fold e 0 (λ e bd n, n+1 <| is_app_of e `eq.trans |> n)
/-- A __term__ here means an expression that is not a Sort and which is not a typeclass instance. -/
meta def is_term (e : expr) : tactic bool := do
T ← infer_type e,
iscl ← tactic.is_class T,
pure $ (¬ is_sort T) && ¬ iscl
meta def list_local_const_terms (e : expr) : tactic (list expr)
:= mfilter expr.is_term $ list_local_consts e
end expr
meta def option.repeat {α} (f : α → option α) : α → α
|a := option.get_or_else (option.repeat <$> f a) a
/- One can write unit tests by doing `run_cmd do ... test.assert my_bool "my bool should be true"`.
You will get an error with a helpful message when the unit test fails.
-/
namespace test
meta def assert (test : bool) (msg : option string := none) : tactic unit := when (¬test) $ fail $ option.get_or_else msg "Assertion failed"
meta def equal {α} [decidable_eq α] [has_to_tactic_format α] (expected actual : α) (msg : format := "") : tactic unit := when (expected ≠ actual) $ do
epp ← pp expected,
app ← pp actual,
fail $ (to_fmt "Assertion failed: \nexpected: ") ++ format.nest 10 epp ++ "\n actual: " ++ format.nest 10 app ++ "\n" ++ msg
-- [TODO] `meta def snapshot` would be the dream. You could do this by dumping the to_tactic_format code to a text file and then reading it back using io. I guess you would also need a monad called test.
end test
|
ab478ad6f2b7c5309966a75d3724f58515e995be | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/combinatorics/quiver/basic.lean | 245384adb31c455b4543bed7ffb05b66c6b8cc34 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 4,390 | lean | /-
Copyright (c) 2021 David Wärn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Wärn, Scott Morrison
-/
import data.opposite
/-!
# Quivers
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This module defines quivers. A quiver on a type `V` of vertices assigns to every
pair `a b : V` of vertices a type `a ⟶ b` of arrows from `a` to `b`. This
is a very permissive notion of directed graph.
## Implementation notes
Currently `quiver` is defined with `arrow : V → V → Sort v`.
This is different from the category theory setup,
where we insist that morphisms live in some `Type`.
There's some balance here: it's nice to allow `Prop` to ensure there are no multiple arrows,
but it is also results in error-prone universe signatures when constraints require a `Type`.
-/
open opposite
-- We use the same universe order as in category theory.
-- See note [category_theory universes]
universes v v₁ v₂ u u₁ u₂
/--
A quiver `G` on a type `V` of vertices assigns to every pair `a b : V` of vertices
a type `a ⟶ b` of arrows from `a` to `b`.
For graphs with no repeated edges, one can use `quiver.{0} V`, which ensures
`a ⟶ b : Prop`. For multigraphs, one can use `quiver.{v+1} V`, which ensures
`a ⟶ b : Type v`.
Because `category` will later extend this class, we call the field `hom`.
Except when constructing instances, you should rarely see this, and use the `⟶` notation instead.
-/
class quiver (V : Type u) :=
(hom : V → V → Sort v)
infixr ` ⟶ `:10 := quiver.hom -- type as \h
/--
A morphism of quivers. As we will later have categorical functors extend this structure,
we call it a `prefunctor`.
-/
structure prefunctor (V : Type u₁) [quiver.{v₁} V] (W : Type u₂) [quiver.{v₂} W] :=
(obj [] : V → W)
(map : Π {X Y : V}, (X ⟶ Y) → (obj X ⟶ obj Y))
namespace prefunctor
@[ext]
lemma ext {V : Type u} [quiver.{v₁} V] {W : Type u₂} [quiver.{v₂} W]
{F G : prefunctor V W}
(h_obj : ∀ X, F.obj X = G.obj X)
(h_map : ∀ (X Y : V) (f : X ⟶ Y),
F.map f = eq.rec_on (h_obj Y).symm (eq.rec_on (h_obj X).symm (G.map f))) : F = G :=
begin
cases F with F_obj _, cases G with G_obj _,
obtain rfl : F_obj = G_obj, by { ext X, apply h_obj },
congr,
funext X Y f,
simpa using h_map X Y f,
end
/--
The identity morphism between quivers.
-/
@[simps]
def id (V : Type*) [quiver V] : prefunctor V V :=
{ obj := id,
map := λ X Y f, f, }
instance (V : Type*) [quiver V] : inhabited (prefunctor V V) := ⟨id V⟩
/--
Composition of morphisms between quivers.
-/
@[simps]
def comp {U : Type*} [quiver U] {V : Type*} [quiver V] {W : Type*} [quiver W]
(F : prefunctor U V) (G : prefunctor V W) : prefunctor U W :=
{ obj := λ X, G.obj (F.obj X),
map := λ X Y f, G.map (F.map f), }
@[simp] lemma comp_id {U : Type*} [quiver U] {V : Type*} [quiver V] (F : prefunctor U V) :
F.comp (id _) = F := by { cases F, refl, }
@[simp] lemma id_comp {U : Type*} [quiver U] {V : Type*} [quiver V] (F : prefunctor U V) :
(id _).comp F = F := by { cases F, refl, }
@[simp]
lemma comp_assoc
{U V W Z : Type*} [quiver U] [quiver V] [quiver W] [quiver Z]
(F : prefunctor U V) (G : prefunctor V W) (H : prefunctor W Z) :
(F.comp G).comp H = F.comp (G.comp H) := rfl
infix ` ⥤q `:50 := prefunctor
infix ` ⋙q `:60 := prefunctor.comp
notation `𝟭q` := id
end prefunctor
namespace quiver
/-- `Vᵒᵖ` reverses the direction of all arrows of `V`. -/
instance opposite {V} [quiver V] : quiver Vᵒᵖ :=
⟨λ a b, (unop b) ⟶ (unop a)⟩
/--
The opposite of an arrow in `V`.
-/
def hom.op {V} [quiver V] {X Y : V} (f : X ⟶ Y) : op Y ⟶ op X := f
/--
Given an arrow in `Vᵒᵖ`, we can take the "unopposite" back in `V`.
-/
def hom.unop {V} [quiver V] {X Y : Vᵒᵖ} (f : X ⟶ Y) : unop Y ⟶ unop X := f
attribute [irreducible] quiver.opposite
/-- A type synonym for a quiver with no arrows. -/
@[nolint has_nonempty_instance]
def empty (V) : Type u := V
instance empty_quiver (V : Type u) : quiver.{u} (empty V) := ⟨λ a b, pempty⟩
@[simp] lemma empty_arrow {V : Type u} (a b : empty V) : (a ⟶ b) = pempty := rfl
/-- A quiver is thin if it has no parallel arrows. -/
@[reducible] def is_thin (V : Type u) [quiver V] := ∀ (a b : V), subsingleton (a ⟶ b)
end quiver
|
4040101cee21f91a649a35014a0ccbf2b2802030 | 75db7e3219bba2fbf41bf5b905f34fcb3c6ca3f2 | /hott/homotopy/red_susp.hlean | dd2ec0d811b3991e65d5d2be76817ea0f91167f9 | [
"Apache-2.0"
] | permissive | jroesch/lean | 30ef0860fa905d35b9ad6f76de1a4f65c9af6871 | 3de4ec1a6ce9a960feb2a48eeea8b53246fa34f2 | refs/heads/master | 1,586,090,835,348 | 1,455,142,203,000 | 1,455,142,277,000 | 51,536,958 | 1 | 0 | null | 1,455,215,811,000 | 1,455,215,811,000 | null | UTF-8 | Lean | false | false | 2,774 | hlean | /-
Copyright (c) 2015 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
Declaration of the reduced suspension
-/
import hit.two_quotient types.pointed algebra.e_closure
open simple_two_quotient eq unit pointed e_closure
namespace red_susp
section
parameter {A : Pointed}
inductive red_susp_R : unit → unit → Type :=
| Rmk : Π(a : A), red_susp_R star star
open red_susp_R
inductive red_susp_Q : Π⦃x : unit⦄, e_closure red_susp_R x x → Type :=
| Qmk : red_susp_Q [Rmk pt]
open red_susp_Q
local abbreviation R := red_susp_R
local abbreviation Q := red_susp_Q
definition red_susp : Type := simple_two_quotient R Q -- TODO: define this in root namespace
definition base : red_susp :=
incl0 R Q star
definition merid (a : A) : base = base :=
incl1 R Q (Rmk a)
definition merid_pt : merid pt = idp :=
incl2 R Q Qmk
-- protected definition rec {P : red_susp → Type} (Pb : P base) (Pm : Π(a : A), Pb =[merid a] Pb)
-- (Pe : Pm pt =[merid_pt] idpo) (x : red_susp) : P x :=
-- begin
-- induction x,
-- end
-- protected definition rec_on [reducible] {P : red_susp → Type} (x : red_susp) (Pb : P base)
-- (Pm : Π(a : A), Pb =[merid a] Pb) (Pe : Pm pt =[merid_pt] idpo) : P x :=
-- rec Pb Pm Pe x
-- definition rec_merid {P : red_susp → Type} (Pb : P base) (Pm : Π(a : A), Pb =[merid a] Pb)
-- (Pe : Pm pt =[merid_pt] idpo) (a : A)
-- : apdo (rec Pb Pm Pe) (merid a) = Pm a :=
-- !rec_incl1
-- theorem elim_merid_pt {P : red_susp → Type} (Pb : P base) (Pm : Π(a : A), Pb =[merid a] Pb)
-- (Pe : Pm pt =[merid_pt] idpo)
-- : square (ap02 (rec Pb Pm Pe) merid_pt) Pe (rec_merid Pe pt) idp :=
-- !rec_incl2
protected definition elim {P : Type} (Pb : P) (Pm : Π(a : A), Pb = Pb)
(Pe : Pm pt = idp) (x : red_susp) : P :=
begin
induction x,
exact Pb,
induction s, exact Pm a,
induction q, exact Pe
end
protected definition elim_on [reducible] {P : Type} (x : red_susp) (Pb : P)
(Pm : Π(a : A), Pb = Pb) (Pe : Pm pt = idp) : P :=
elim Pb Pm Pe x
definition elim_merid {P : Type} {Pb : P} {Pm : Π(a : A), Pb = Pb}
(Pe : Pm pt = idp) (a : A)
: ap (elim Pb Pm Pe) (merid a) = Pm a :=
!elim_incl1
theorem elim_merid_pt {P : Type} (Pb : P) (Pm : Π(a : A), Pb = Pb)
(Pe : Pm pt = idp) : square (ap02 (elim Pb Pm Pe) merid_pt) Pe (elim_merid Pe pt) idp :=
!elim_incl2
end
end red_susp
attribute red_susp.base [constructor]
attribute /-red_susp.rec-/ red_susp.elim [unfold 6] [recursor 6]
--attribute red_susp.elim_type [unfold 9]
attribute /-red_susp.rec_on-/ red_susp.elim_on [unfold 3]
--attribute red_susp.elim_type_on [unfold 6]
|
b76ca2c1f6d7a38c4b5fe86a009da22eba42ccec | 63abd62053d479eae5abf4951554e1064a4c45b4 | /src/data/real/ereal.lean | 44402e60b7b087680091d224eb3a85782bf8786b | [
"Apache-2.0"
] | permissive | Lix0120/mathlib | 0020745240315ed0e517cbf32e738d8f9811dd80 | e14c37827456fc6707f31b4d1d16f1f3a3205e91 | refs/heads/master | 1,673,102,855,024 | 1,604,151,044,000 | 1,604,151,044,000 | 308,930,245 | 0 | 0 | Apache-2.0 | 1,604,164,710,000 | 1,604,163,547,000 | null | UTF-8 | Lean | false | false | 3,356 | lean | /-
Copyright (c) 2019 Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Buzzard
-/
import data.real.basic
/-!
# The extended reals [-∞, ∞].
This file defines `ereal`, the real numbers together with a top and bottom element,
referred to as ⊤ and ⊥. It is implemented as `with_top (with_bot ℝ)`
Addition and multiplication are problematic in the presence of ±∞, but
negation has a natural definition and satisfies the usual properties.
An addition is derived, but `ereal` is not even a monoid (there is no identity).
`ereal` is a `complete_lattice`; this is now deduced by type class inference from
the fact that `with_top (with_bot L)` is a complete lattice if `L` is
a conditionally complete lattice.
## Tags
real, ereal, complete lattice
## TODO
abs : ereal → ennreal
In Isabelle they define + - * and / (making junk choices for things like -∞ + ∞)
and then prove whatever bits of the ordered ring/field axioms still hold. They
also do some limits stuff (liminf/limsup etc).
See https://isabelle.in.tum.de/dist/library/HOL/HOL-Library/Extended_Real.html
-/
/-- ereal : The type `[-∞, ∞]` -/
@[derive [linear_order, order_bot, order_top,
has_Sup, has_Inf, complete_lattice, has_add]]
def ereal := with_top (with_bot ℝ)
namespace ereal
instance : has_coe ℝ ereal := ⟨some ∘ some⟩
@[simp, norm_cast] protected lemma coe_real_le {x y : ℝ} : (x : ereal) ≤ (y : ereal) ↔ x ≤ y :=
by { unfold_coes, norm_num }
@[simp, norm_cast] protected lemma coe_real_lt {x y : ℝ} : (x : ereal) < (y : ereal) ↔ x < y :=
by { unfold_coes, norm_num }
@[simp, norm_cast] protected lemma coe_real_inj' {x y : ℝ} : (x : ereal) = (y : ereal) ↔ x = y :=
by { unfold_coes, simp [option.some_inj] }
instance : has_zero ereal := ⟨(0 : ℝ)⟩
instance : inhabited ereal := ⟨0⟩
/-! ### Negation -/
/-- negation on ereal -/
protected def neg : ereal → ereal
| ⊥ := ⊤
| ⊤ := ⊥
| (x : ℝ) := (-x : ℝ)
instance : has_neg ereal := ⟨ereal.neg⟩
@[norm_cast] protected lemma neg_def (x : ℝ) : ((-x : ℝ) : ereal) = -x := rfl
/-- - -a = a on ereal -/
protected theorem neg_neg : ∀ (a : ereal), - (- a) = a
| ⊥ := rfl
| ⊤ := rfl
| (a : ℝ) := by { norm_cast, simp [neg_neg a] }
theorem neg_inj (a b : ereal) (h : -a = -b) : a = b := by rw [←ereal.neg_neg a, h, ereal.neg_neg b]
/-- Even though ereal is not an additive group, -a = b ↔ -b = a still holds -/
theorem neg_eq_iff_neg_eq {a b : ereal} : -a = b ↔ -b = a :=
⟨by {intro h, rw ←h, exact ereal.neg_neg a},
by {intro h, rw ←h, exact ereal.neg_neg b}⟩
/-- if -a ≤ b then -b ≤ a on ereal -/
protected theorem neg_le_of_neg_le : ∀ {a b : ereal} (h : -a ≤ b), -b ≤ a
| ⊥ ⊥ h := h
| ⊥ (some b) h := by cases (top_le_iff.1 h)
| ⊤ l h := le_top
| (a : ℝ) ⊥ h := by cases (le_bot_iff.1 h)
| l ⊤ h := bot_le
| (a : ℝ) (b : ℝ) h := by { norm_cast at h ⊢, exact _root_.neg_le_of_neg_le h }
/-- -a ≤ b ↔ -b ≤ a on ereal-/
protected theorem neg_le {a b : ereal} : -a ≤ b ↔ -b ≤ a :=
⟨ereal.neg_le_of_neg_le, ereal.neg_le_of_neg_le⟩
/-- a ≤ -b → b ≤ -a on ereal -/
theorem le_neg_of_le_neg {a b : ereal} (h : a ≤ -b) : b ≤ -a :=
by rwa [←ereal.neg_neg b, ereal.neg_le, ereal.neg_neg]
end ereal
|
c19e7800f45608a001f257c0986f29cb2dd711ab | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/order/rel_iso.lean | 16221859b086a9c584f0c74526f7da0d9ff51711 | [
"Apache-2.0"
] | permissive | waynemunro/mathlib | e3fd4ff49f4cb43d4a8ded59d17be407bc5ee552 | 065a70810b5480d584033f7bbf8e0409480c2118 | refs/heads/master | 1,693,417,182,397 | 1,634,644,781,000 | 1,634,644,781,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 34,839 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import algebra.group.defs
import data.equiv.set
import logic.embedding
import order.rel_classes
/-!
# Relation homomorphisms, embeddings, isomorphisms
This file defines relation homomorphisms, embeddings, isomorphisms and order embeddings and
isomorphisms.
## Main declarations
* `rel_hom`: Relation homomorphism. A `rel_hom r s` is a function `f : α → β` such that
`r a b → s (f a) (f b)`.
* `rel_embedding`: Relation embedding. A `rel_embedding r s` is an embedding `f : α ↪ β` such that
`r a b ↔ s (f a) (f b)`.
* `rel_iso`: Relation isomorphism. A `rel_iso r s` is an equivalence `f : α ≃ β` such that
`r a b ↔ s (f a) (f b)`.
* `order_embedding`: Relation embedding. An `order_embedding α β` is an embedding `f : α ↪ β` such
that `a ≤ b ↔ f a ≤ f b`. Defined as an abbreviation of `@rel_embedding α β (≤) (≤)`.
* `order_iso`: Relation isomorphism. An `order_iso α β` is an equivalence `f : α ≃ β` such that
`a ≤ b ↔ f a ≤ f b`. Defined as an abbreviation of `@rel_iso α β (≤) (≤)`.
* `sum_lex_congr`, `prod_lex_congr`: Creates a relation homomorphism between two `sum_lex` or two
`prod_lex` from relation homomorphisms between their arguments.
## Notation
* `→r`: `rel_hom`
* `↪r`: `rel_embedding`
* `≃r`: `rel_iso`
* `↪o`: `order_embedding`
* `≃o`: `order_iso`
-/
open function
universes u v w
variables {α β γ : Type*} {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
/-- A relation homomorphism with respect to a given pair of relations `r` and `s`
is a function `f : α → β` such that `r a b → s (f a) (f b)`. -/
@[nolint has_inhabited_instance]
structure rel_hom {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) :=
(to_fun : α → β)
(map_rel' : ∀ {a b}, r a b → s (to_fun a) (to_fun b))
infix ` →r `:25 := rel_hom
namespace rel_hom
instance : has_coe_to_fun (r →r s) := ⟨λ _, α → β, λ o, o.to_fun⟩
initialize_simps_projections rel_hom (to_fun → apply)
theorem map_rel (f : r →r s) : ∀ {a b}, r a b → s (f a) (f b) := f.map_rel'
@[simp] theorem coe_fn_mk (f : α → β) (o) :
(@rel_hom.mk _ _ r s f o : α → β) = f := rfl
@[simp] theorem coe_fn_to_fun (f : r →r s) : (f.to_fun : α → β) = f := rfl
/-- The map `coe_fn : (r →r s) → (α → β)` is injective. -/
theorem coe_fn_injective : @function.injective (r →r s) (α → β) coe_fn
| ⟨f₁, o₁⟩ ⟨f₂, o₂⟩ h := by { congr, exact h }
@[ext] theorem ext ⦃f g : r →r s⦄ (h : ∀ x, f x = g x) : f = g :=
coe_fn_injective (funext h)
theorem ext_iff {f g : r →r s} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, λ h, ext h⟩
/-- Identity map is a relation homomorphism. -/
@[refl, simps] protected def id (r : α → α → Prop) : r →r r :=
⟨λ x, x, λ a b x, x⟩
/-- Composition of two relation homomorphisms is a relation homomorphism. -/
@[trans, simps] protected def comp (g : s →r t) (f : r →r s) : r →r t :=
⟨λ x, g (f x), λ a b h, g.2 (f.2 h)⟩
/-- A relation homomorphism is also a relation homomorphism between dual relations. -/
protected def swap (f : r →r s) : swap r →r swap s :=
⟨f, λ a b, f.map_rel⟩
/-- A function is a relation homomorphism from the preimage relation of `s` to `s`. -/
def preimage (f : α → β) (s : β → β → Prop) : f ⁻¹'o s →r s := ⟨f, λ a b, id⟩
protected theorem is_irrefl : ∀ (f : r →r s) [is_irrefl β s], is_irrefl α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a h, H _ (o h)⟩
protected theorem is_asymm : ∀ (f : r →r s) [is_asymm β s], is_asymm α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a b h₁ h₂, H _ _ (o h₁) (o h₂)⟩
protected theorem acc (f : r →r s) (a : α) : acc s (f a) → acc r a :=
begin
generalize h : f a = b, intro ac,
induction ac with _ H IH generalizing a, subst h,
exact ⟨_, λ a' h, IH (f a') (f.map_rel h) _ rfl⟩
end
protected theorem well_founded : ∀ (f : r →r s) (h : well_founded s), well_founded r
| f ⟨H⟩ := ⟨λ a, f.acc _ (H _)⟩
lemma map_inf {α β : Type*} [semilattice_inf α] [linear_order β]
(a : ((<) : β → β → Prop) →r ((<) : α → α → Prop)) (m n : β) : a (m ⊓ n) = a m ⊓ a n :=
begin
symmetry, cases le_or_lt n m with h,
{ rw [inf_eq_right.mpr h, inf_eq_right], exact strict_mono.monotone (λ x y, a.map_rel) h, },
{ rw [inf_eq_left.mpr (le_of_lt h), inf_eq_left], exact le_of_lt (a.map_rel h), },
end
lemma map_sup {α β : Type*} [semilattice_sup α] [linear_order β]
(a : ((>) : β → β → Prop) →r ((>) : α → α → Prop)) (m n : β) : a (m ⊔ n) = a m ⊔ a n :=
begin
symmetry, cases le_or_lt m n with h,
{ rw [sup_eq_right.mpr h, sup_eq_right], exact strict_mono.monotone (λ x y, a.swap.map_rel) h, },
{ rw [sup_eq_left.mpr (le_of_lt h), sup_eq_left], exact le_of_lt (a.map_rel h), },
end
end rel_hom
/-- An increasing function is injective -/
lemma injective_of_increasing (r : α → α → Prop) (s : β → β → Prop) [is_trichotomous α r]
[is_irrefl β s] (f : α → β) (hf : ∀ {x y}, r x y → s (f x) (f y)) : injective f :=
begin
intros x y hxy,
rcases trichotomous_of r x y with h | h | h,
have := hf h, rw hxy at this, exfalso, exact irrefl_of s (f y) this,
exact h,
have := hf h, rw hxy at this, exfalso, exact irrefl_of s (f y) this
end
/-- An increasing function is injective -/
lemma rel_hom.injective_of_increasing [is_trichotomous α r]
[is_irrefl β s] (f : r →r s) : injective f :=
injective_of_increasing r s f (λ x y, f.map_rel)
theorem surjective.well_founded_iff {f : α → β} (hf : surjective f)
(o : ∀ {a b}, r a b ↔ s (f a) (f b)) : well_founded r ↔ well_founded s :=
iff.intro (begin
apply rel_hom.well_founded,
refine rel_hom.mk _ _,
{exact classical.some hf.has_right_inverse},
intros a b h, apply o.2, convert h,
iterate 2 { apply classical.some_spec hf.has_right_inverse },
end) (rel_hom.well_founded ⟨f, λ _ _, o.1⟩)
/-- A relation embedding with respect to a given pair of relations `r` and `s`
is an embedding `f : α ↪ β` such that `r a b ↔ s (f a) (f b)`. -/
structure rel_embedding {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends α ↪ β :=
(map_rel_iff' : ∀ {a b}, s (to_embedding a) (to_embedding b) ↔ r a b)
infix ` ↪r `:25 := rel_embedding
/-- An order embedding is an embedding `f : α ↪ β` such that `a ≤ b ↔ (f a) ≤ (f b)`.
This definition is an abbreviation of `rel_embedding (≤) (≤)`. -/
abbreviation order_embedding (α β : Type*) [has_le α] [has_le β] :=
@rel_embedding α β (≤) (≤)
infix ` ↪o `:25 := order_embedding
/-- The induced relation on a subtype is an embedding under the natural inclusion. -/
definition subtype.rel_embedding {X : Type*} (r : X → X → Prop) (p : X → Prop) :
((subtype.val : subtype p → X) ⁻¹'o r) ↪r r :=
⟨embedding.subtype p, λ x y, iff.rfl⟩
theorem preimage_equivalence {α β} (f : α → β) {s : β → β → Prop}
(hs : equivalence s) : equivalence (f ⁻¹'o s) :=
⟨λ a, hs.1 _, λ a b h, hs.2.1 h, λ a b c h₁ h₂, hs.2.2 h₁ h₂⟩
namespace rel_embedding
/-- A relation embedding is also a relation homomorphism -/
def to_rel_hom (f : r ↪r s) : (r →r s) :=
{ to_fun := f.to_embedding.to_fun,
map_rel' := λ x y, (map_rel_iff' f).mpr }
instance : has_coe (r ↪r s) (r →r s) := ⟨to_rel_hom⟩
-- see Note [function coercion]
instance : has_coe_to_fun (r ↪r s) := ⟨λ _, α → β, λ o, o.to_embedding⟩
/-- 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 (h : r ↪r s) : α → β := h
initialize_simps_projections rel_embedding (to_embedding_to_fun → apply, -to_embedding)
@[simp] lemma to_rel_hom_eq_coe (f : r ↪r s) : f.to_rel_hom = f := rfl
@[simp] lemma coe_coe_fn (f : r ↪r s) : ((f : r →r s) : α → β) = f := rfl
theorem injective (f : r ↪r s) : injective f := f.inj'
theorem map_rel_iff (f : r ↪r s) : ∀ {a b}, s (f a) (f b) ↔ r a b := f.map_rel_iff'
@[simp] theorem coe_fn_mk (f : α ↪ β) (o) :
(@rel_embedding.mk _ _ r s f o : α → β) = f := rfl
@[simp] theorem coe_fn_to_embedding (f : r ↪r s) : (f.to_embedding : α → β) = f := rfl
/-- The map `coe_fn : (r ↪r s) → (α → β)` is injective. -/
theorem coe_fn_injective : @function.injective (r ↪r s) (α → β) coe_fn
| ⟨⟨f₁, h₁⟩, o₁⟩ ⟨⟨f₂, h₂⟩, o₂⟩ h := by { congr, exact h }
@[ext] theorem ext ⦃f g : r ↪r s⦄ (h : ∀ x, f x = g x) : f = g :=
coe_fn_injective (funext h)
theorem ext_iff {f g : r ↪r s} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, λ h, ext h⟩
/-- Identity map is a relation embedding. -/
@[refl, simps] protected def refl (r : α → α → Prop) : r ↪r r :=
⟨embedding.refl _, λ a b, iff.rfl⟩
/-- Composition of two relation embeddings is a relation embedding. -/
@[trans] protected def trans (f : r ↪r s) (g : s ↪r t) : r ↪r t :=
⟨f.1.trans g.1, λ a b, by simp [f.map_rel_iff, g.map_rel_iff]⟩
instance (r : α → α → Prop) : inhabited (r ↪r r) := ⟨rel_embedding.refl _⟩
theorem trans_apply (f : r ↪r s) (g : s ↪r t) (a : α) : (f.trans g) a = g (f a) := rfl
@[simp] theorem coe_trans (f : r ↪r s) (g : s ↪r t) : ⇑(f.trans g) = g ∘ f := rfl
/-- A relation embedding is also a relation embedding between dual relations. -/
protected def swap (f : r ↪r s) : swap r ↪r swap s :=
⟨f.to_embedding, λ a b, f.map_rel_iff⟩
/-- If `f` is injective, then it is a relation embedding from the
preimage relation of `s` to `s`. -/
def preimage (f : α ↪ β) (s : β → β → Prop) : f ⁻¹'o s ↪r s := ⟨f, λ a b, iff.rfl⟩
theorem eq_preimage (f : r ↪r s) : r = f ⁻¹'o s :=
by { ext a b, exact f.map_rel_iff.symm }
protected theorem is_irrefl (f : r ↪r s) [is_irrefl β s] : is_irrefl α r :=
⟨λ a, mt f.map_rel_iff.2 (irrefl (f a))⟩
protected theorem is_refl (f : r ↪r s) [is_refl β s] : is_refl α r :=
⟨λ a, f.map_rel_iff.1 $ refl _⟩
protected theorem is_symm (f : r ↪r s) [is_symm β s] : is_symm α r :=
⟨λ a b, imp_imp_imp f.map_rel_iff.2 f.map_rel_iff.1 symm⟩
protected theorem is_asymm (f : r ↪r s) [is_asymm β s] : is_asymm α r :=
⟨λ a b h₁ h₂, asymm (f.map_rel_iff.2 h₁) (f.map_rel_iff.2 h₂)⟩
protected theorem is_antisymm : ∀ (f : r ↪r s) [is_antisymm β s], is_antisymm α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a b h₁ h₂, f.inj' (H _ _ (o.2 h₁) (o.2 h₂))⟩
protected theorem is_trans : ∀ (f : r ↪r s) [is_trans β s], is_trans α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a b c h₁ h₂, o.1 (H _ _ _ (o.2 h₁) (o.2 h₂))⟩
protected theorem is_total : ∀ (f : r ↪r s) [is_total β s], is_total α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a b, (or_congr o o).1 (H _ _)⟩
protected theorem is_preorder : ∀ (f : r ↪r s) [is_preorder β s], is_preorder α r
| f H := by exactI {..f.is_refl, ..f.is_trans}
protected theorem is_partial_order : ∀ (f : r ↪r s) [is_partial_order β s], is_partial_order α r
| f H := by exactI {..f.is_preorder, ..f.is_antisymm}
protected theorem is_linear_order : ∀ (f : r ↪r s) [is_linear_order β s], is_linear_order α r
| f H := by exactI {..f.is_partial_order, ..f.is_total}
protected theorem is_strict_order : ∀ (f : r ↪r s) [is_strict_order β s], is_strict_order α r
| f H := by exactI {..f.is_irrefl, ..f.is_trans}
protected theorem is_trichotomous : ∀ (f : r ↪r s) [is_trichotomous β s], is_trichotomous α r
| ⟨f, o⟩ ⟨H⟩ := ⟨λ a b, (or_congr o (or_congr f.inj'.eq_iff o)).1 (H _ _)⟩
protected theorem is_strict_total_order' :
∀ (f : r ↪r s) [is_strict_total_order' β s], is_strict_total_order' α r
| f H := by exactI {..f.is_trichotomous, ..f.is_strict_order}
protected theorem acc (f : r ↪r s) (a : α) : acc s (f a) → acc r a :=
begin
generalize h : f a = b, intro ac,
induction ac with _ H IH generalizing a, subst h,
exact ⟨_, λ a' h, IH (f a') (f.map_rel_iff.2 h) _ rfl⟩
end
protected theorem well_founded : ∀ (f : r ↪r s) (h : well_founded s), well_founded r
| f ⟨H⟩ := ⟨λ a, f.acc _ (H _)⟩
protected theorem is_well_order : ∀ (f : r ↪r s) [is_well_order β s], is_well_order α r
| f H := by exactI {wf := f.well_founded H.wf, ..f.is_strict_total_order'}
/--
To define an relation embedding from an antisymmetric relation `r` to a reflexive relation `s` it
suffices to give a function together with a proof that it satisfies `s (f a) (f b) ↔ r a b`.
-/
def of_map_rel_iff (f : α → β) [is_antisymm α r] [is_refl β s]
(hf : ∀ a b, s (f a) (f b) ↔ r a b) : r ↪r s :=
{ to_fun := f,
inj' := λ x y h, antisymm ((hf _ _).1 (h ▸ refl _)) ((hf _ _).1 (h ▸ refl _)),
map_rel_iff' := hf }
@[simp]
lemma of_map_rel_iff_coe (f : α → β) [is_antisymm α r] [is_refl β s]
(hf : ∀ a b, s (f a) (f b) ↔ r a b) :
⇑(of_map_rel_iff f hf : r ↪r s) = f :=
rfl
/-- It suffices to prove `f` is monotone between strict relations
to show it is a relation embedding. -/
def of_monotone [is_trichotomous α r] [is_asymm β s] (f : α → β)
(H : ∀ a b, r a b → s (f a) (f b)) : r ↪r s :=
begin
haveI := @is_asymm.is_irrefl β s _,
refine ⟨⟨f, λ a b e, _⟩, λ a b, ⟨λ h, _, H _ _⟩⟩,
{ refine ((@trichotomous _ r _ a b).resolve_left _).resolve_right _;
exact λ h, @irrefl _ s _ _ (by simpa [e] using H _ _ h) },
{ refine (@trichotomous _ r _ a b).resolve_right (or.rec (λ e, _) (λ h', _)),
{ subst e, exact irrefl _ h },
{ exact asymm (H _ _ h') h } }
end
@[simp] theorem of_monotone_coe [is_trichotomous α r] [is_asymm β s] (f : α → β) (H) :
(@of_monotone _ _ r s _ _ f H : α → β) = f := rfl
/-- Embeddings of partial orders that preserve `<` also preserve `≤`. -/
def order_embedding_of_lt_embedding [partial_order α] [partial_order β]
(f : ((<) : α → α → Prop) ↪r ((<) : β → β → Prop)) :
α ↪o β :=
{ map_rel_iff' := by { intros, simp [le_iff_lt_or_eq,f.map_rel_iff, f.injective.eq_iff] }, .. f }
@[simp]
lemma order_embedding_of_lt_embedding_apply [partial_order α] [partial_order β]
{f : ((<) : α → α → Prop) ↪r ((<) : β → β → Prop)} {x : α} :
order_embedding_of_lt_embedding f x = f x := rfl
end rel_embedding
namespace order_embedding
variables [preorder α] [preorder β] (f : α ↪o β)
/-- `<` is preserved by order embeddings of preorders. -/
def lt_embedding : ((<) : α → α → Prop) ↪r ((<) : β → β → Prop) :=
{ map_rel_iff' := by intros; simp [lt_iff_le_not_le, f.map_rel_iff], .. f }
@[simp] lemma lt_embedding_apply (x : α) : f.lt_embedding x = f x := rfl
@[simp] theorem le_iff_le {a b} : (f a) ≤ (f b) ↔ a ≤ b := f.map_rel_iff
@[simp] theorem lt_iff_lt {a b} : f a < f b ↔ a < b :=
f.lt_embedding.map_rel_iff
@[simp] lemma eq_iff_eq {a b} : f a = f b ↔ a = b := f.injective.eq_iff
protected theorem monotone : monotone f := λ x y, f.le_iff_le.2
protected theorem strict_mono : strict_mono f := λ x y, f.lt_iff_lt.2
protected theorem acc (a : α) : acc (<) (f a) → acc (<) a :=
f.lt_embedding.acc a
protected theorem well_founded :
well_founded ((<) : β → β → Prop) → well_founded ((<) : α → α → Prop) :=
f.lt_embedding.well_founded
protected theorem is_well_order [is_well_order β (<)] : is_well_order α (<) :=
f.lt_embedding.is_well_order
/-- An order embedding is also an order embedding between dual orders. -/
protected def dual : order_dual α ↪o order_dual β :=
⟨f.to_embedding, λ a b, f.map_rel_iff⟩
/--
To define an order embedding from a partial order to a preorder it suffices to give a function
together with a proof that it satisfies `f a ≤ f b ↔ a ≤ b`.
-/
def of_map_le_iff {α β} [partial_order α] [preorder β] (f : α → β)
(hf : ∀ a b, f a ≤ f b ↔ a ≤ b) : α ↪o β :=
rel_embedding.of_map_rel_iff f hf
@[simp] lemma coe_of_map_le_iff {α β} [partial_order α] [preorder β] {f : α → β} (h) :
⇑(of_map_le_iff f h) = f := rfl
/-- A strictly monotone map from a linear order is an order embedding. --/
def of_strict_mono {α β} [linear_order α] [preorder β] (f : α → β)
(h : strict_mono f) : α ↪o β :=
of_map_le_iff f (λ _ _, h.le_iff_le)
@[simp] lemma coe_of_strict_mono {α β} [linear_order α] [preorder β] {f : α → β}
(h : strict_mono f) : ⇑(of_strict_mono f h) = f := rfl
/-- Embedding of a subtype into the ambient type as an `order_embedding`. -/
@[simps {fully_applied := ff}] def subtype (p : α → Prop) : subtype p ↪o α :=
⟨embedding.subtype p, λ x y, iff.rfl⟩
end order_embedding
/-- A relation isomorphism is an equivalence that is also a relation embedding. -/
structure rel_iso {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends α ≃ β :=
(map_rel_iff' : ∀ {a b}, s (to_equiv a) (to_equiv b) ↔ r a b)
infix ` ≃r `:25 := rel_iso
/-- An order isomorphism is an equivalence such that `a ≤ b ↔ (f a) ≤ (f b)`.
This definition is an abbreviation of `rel_iso (≤) (≤)`. -/
abbreviation order_iso (α β : Type*) [has_le α] [has_le β] := @rel_iso α β (≤) (≤)
infix ` ≃o `:25 := order_iso
namespace rel_iso
/-- Convert an `rel_iso` to an `rel_embedding`. This function is also available as a coercion
but often it is easier to write `f.to_rel_embedding` than to write explicitly `r` and `s`
in the target type. -/
def to_rel_embedding (f : r ≃r s) : r ↪r s :=
⟨f.to_equiv.to_embedding, f.map_rel_iff'⟩
instance : has_coe (r ≃r s) (r ↪r s) := ⟨to_rel_embedding⟩
-- see Note [function coercion]
instance : has_coe_to_fun (r ≃r s) := ⟨λ _, α → β, λ f, f⟩
@[simp] lemma to_rel_embedding_eq_coe (f : r ≃r s) : f.to_rel_embedding = f := rfl
@[simp] lemma coe_coe_fn (f : r ≃r s) : ((f : r ↪r s) : α → β) = f := rfl
theorem map_rel_iff (f : r ≃r s) : ∀ {a b}, s (f a) (f b) ↔ r a b := f.map_rel_iff'
@[simp] theorem coe_fn_mk (f : α ≃ β) (o : ∀ ⦃a b⦄, s (f a) (f b) ↔ r a b) :
(rel_iso.mk f o : α → β) = f := rfl
@[simp] theorem coe_fn_to_equiv (f : r ≃r s) : (f.to_equiv : α → β) = f := rfl
theorem to_equiv_injective : injective (to_equiv : (r ≃r s) → α ≃ β)
| ⟨e₁, o₁⟩ ⟨e₂, o₂⟩ h := by { congr, exact h }
/-- The map `coe_fn : (r ≃r s) → (α → β)` is injective. Lean fails to parse
`function.injective (λ e : r ≃r s, (e : α → β))`, so we use a trick to say the same. -/
theorem coe_fn_injective : @function.injective (r ≃r s) (α → β) coe_fn :=
equiv.coe_fn_injective.comp to_equiv_injective
@[ext] theorem ext ⦃f g : r ≃r s⦄ (h : ∀ x, f x = g x) : f = g :=
coe_fn_injective (funext h)
theorem ext_iff {f g : r ≃r s} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, λ h, ext h⟩
/-- Inverse map of a relation isomorphism is a relation isomorphism. -/
@[symm] protected def symm (f : r ≃r s) : s ≃r r :=
⟨f.to_equiv.symm, λ a b, by erw [← f.map_rel_iff, f.1.apply_symm_apply, f.1.apply_symm_apply]⟩
/-- 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 (h : r ≃r s) : α → β := h
/-- See Note [custom simps projection]. -/
def simps.symm_apply (h : r ≃r s) : β → α := h.symm
initialize_simps_projections rel_iso
(to_equiv_to_fun → apply, to_equiv_inv_fun → symm_apply, -to_equiv)
/-- Identity map is a relation isomorphism. -/
@[refl, simps apply] protected def refl (r : α → α → Prop) : r ≃r r :=
⟨equiv.refl _, λ a b, iff.rfl⟩
/-- Composition of two relation isomorphisms is a relation isomorphism. -/
@[trans, simps apply] protected def trans (f₁ : r ≃r s) (f₂ : s ≃r t) : r ≃r t :=
⟨f₁.to_equiv.trans f₂.to_equiv, λ a b, f₂.map_rel_iff.trans f₁.map_rel_iff⟩
instance (r : α → α → Prop) : inhabited (r ≃r r) := ⟨rel_iso.refl _⟩
@[simp] lemma default_def (r : α → α → Prop) : default (r ≃r r) = rel_iso.refl r := rfl
/-- a relation isomorphism is also a relation isomorphism between dual relations. -/
protected def swap (f : r ≃r s) : (swap r) ≃r (swap s) :=
⟨f.to_equiv, λ _ _, f.map_rel_iff⟩
@[simp] theorem coe_fn_symm_mk (f o) : ((@rel_iso.mk _ _ r s f o).symm : β → α) = f.symm :=
rfl
@[simp] theorem apply_symm_apply (e : r ≃r s) (x : β) : e (e.symm x) = x :=
e.to_equiv.apply_symm_apply x
@[simp] theorem symm_apply_apply (e : r ≃r s) (x : α) : e.symm (e x) = x :=
e.to_equiv.symm_apply_apply x
theorem rel_symm_apply (e : r ≃r s) {x y} : r x (e.symm y) ↔ s (e x) y :=
by rw [← e.map_rel_iff, e.apply_symm_apply]
theorem symm_apply_rel (e : r ≃r s) {x y} : r (e.symm x) y ↔ s x (e y) :=
by rw [← e.map_rel_iff, e.apply_symm_apply]
protected lemma bijective (e : r ≃r s) : bijective e := e.to_equiv.bijective
protected lemma injective (e : r ≃r s) : injective e := e.to_equiv.injective
protected lemma surjective (e : r ≃r s) : surjective e := e.to_equiv.surjective
@[simp] lemma range_eq (e : r ≃r s) : set.range e = set.univ := e.surjective.range_eq
@[simp] lemma eq_iff_eq (f : r ≃r s) {a b} : f a = f b ↔ a = b :=
f.injective.eq_iff
/-- Any equivalence lifts to a relation isomorphism between `s` and its preimage. -/
protected def preimage (f : α ≃ β) (s : β → β → Prop) : f ⁻¹'o s ≃r s := ⟨f, λ a b, iff.rfl⟩
/-- A surjective relation embedding is a relation isomorphism. -/
@[simps apply]
noncomputable def of_surjective (f : r ↪r s) (H : surjective f) : r ≃r s :=
⟨equiv.of_bijective f ⟨f.injective, H⟩, λ a b, f.map_rel_iff⟩
/--
Given relation isomorphisms `r₁ ≃r s₁` and `r₂ ≃r s₂`, construct a relation isomorphism for the
lexicographic orders on the sum.
-/
def sum_lex_congr {α₁ α₂ β₁ β₂ r₁ r₂ s₁ s₂}
(e₁ : @rel_iso α₁ β₁ r₁ s₁) (e₂ : @rel_iso α₂ β₂ r₂ s₂) :
sum.lex r₁ r₂ ≃r sum.lex s₁ s₂ :=
⟨equiv.sum_congr e₁.to_equiv e₂.to_equiv, λ a b,
by cases e₁ with f hf; cases e₂ with g hg;
cases a; cases b; simp [hf, hg]⟩
/--
Given relation isomorphisms `r₁ ≃r s₁` and `r₂ ≃r s₂`, construct a relation isomorphism for the
lexicographic orders on the product.
-/
def prod_lex_congr {α₁ α₂ β₁ β₂ r₁ r₂ s₁ s₂}
(e₁ : @rel_iso α₁ β₁ r₁ s₁) (e₂ : @rel_iso α₂ β₂ r₂ s₂) :
prod.lex r₁ r₂ ≃r prod.lex s₁ s₂ :=
⟨equiv.prod_congr e₁.to_equiv e₂.to_equiv,
λ a b, by simp [prod.lex_def, e₁.map_rel_iff, e₂.map_rel_iff]⟩
instance : group (r ≃r r) :=
{ one := rel_iso.refl r,
mul := λ f₁ f₂, f₂.trans f₁,
inv := rel_iso.symm,
mul_assoc := λ f₁ f₂ f₃, rfl,
one_mul := λ f, ext $ λ _, rfl,
mul_one := λ f, ext $ λ _, rfl,
mul_left_inv := λ f, ext f.symm_apply_apply }
@[simp] lemma coe_one : ⇑(1 : r ≃r r) = id := rfl
@[simp] lemma coe_mul (e₁ e₂ : r ≃r r) : ⇑(e₁ * e₂) = e₁ ∘ e₂ := rfl
lemma mul_apply (e₁ e₂ : r ≃r r) (x : α) : (e₁ * e₂) x = e₁ (e₂ x) := rfl
@[simp] lemma inv_apply_self (e : r ≃r r) (x) : e⁻¹ (e x) = x := e.symm_apply_apply x
@[simp] lemma apply_inv_self (e : r ≃r r) (x) : e (e⁻¹ x) = x := e.apply_symm_apply x
end rel_iso
namespace order_iso
section has_le
variables [has_le α] [has_le β] [has_le γ]
/-- Reinterpret an order isomorphism as an order embedding. -/
def to_order_embedding (e : α ≃o β) : α ↪o β :=
e.to_rel_embedding
@[simp] lemma coe_to_order_embedding (e : α ≃o β) :
⇑(e.to_order_embedding) = e := rfl
protected lemma bijective (e : α ≃o β) : bijective e := e.to_equiv.bijective
protected lemma injective (e : α ≃o β) : injective e := e.to_equiv.injective
protected lemma surjective (e : α ≃o β) : surjective e := e.to_equiv.surjective
@[simp] lemma range_eq (e : α ≃o β) : set.range e = set.univ := e.surjective.range_eq
@[simp] lemma apply_eq_iff_eq (e : α ≃o β) {x y : α} : e x = e y ↔ x = y :=
e.to_equiv.apply_eq_iff_eq
/-- Identity order isomorphism. -/
def refl (α : Type*) [has_le α] : α ≃o α := rel_iso.refl (≤)
@[simp] lemma coe_refl : ⇑(refl α) = id := rfl
lemma refl_apply (x : α) : refl α x = x := rfl
@[simp] lemma refl_to_equiv : (refl α).to_equiv = equiv.refl α := rfl
/-- Inverse of an order isomorphism. -/
def symm (e : α ≃o β) : β ≃o α := e.symm
@[simp] lemma apply_symm_apply (e : α ≃o β) (x : β) : e (e.symm x) = x :=
e.to_equiv.apply_symm_apply x
@[simp] lemma symm_apply_apply (e : α ≃o β) (x : α) : e.symm (e x) = x :=
e.to_equiv.symm_apply_apply x
@[simp] lemma symm_refl (α : Type*) [has_le α] : (refl α).symm = refl α := rfl
lemma apply_eq_iff_eq_symm_apply (e : α ≃o β) (x : α) (y : β) : e x = y ↔ x = e.symm y :=
e.to_equiv.apply_eq_iff_eq_symm_apply
theorem symm_apply_eq (e : α ≃o β) {x : α} {y : β} : e.symm y = x ↔ y = e x :=
e.to_equiv.symm_apply_eq
@[simp] lemma symm_symm (e : α ≃o β) : e.symm.symm = e := by { ext, refl }
lemma symm_injective : injective (symm : (α ≃o β) → (β ≃o α)) :=
λ e e' h, by rw [← e.symm_symm, h, e'.symm_symm]
@[simp] lemma to_equiv_symm (e : α ≃o β) : e.to_equiv.symm = e.symm.to_equiv := rfl
@[simp] lemma symm_image_image (e : α ≃o β) (s : set α) : e.symm '' (e '' s) = s :=
e.to_equiv.symm_image_image s
@[simp] lemma image_symm_image (e : α ≃o β) (s : set β) : e '' (e.symm '' s) = s :=
e.to_equiv.image_symm_image s
lemma image_eq_preimage (e : α ≃o β) (s : set α) : e '' s = e.symm ⁻¹' s :=
e.to_equiv.image_eq_preimage s
@[simp] lemma preimage_symm_preimage (e : α ≃o β) (s : set α) : e ⁻¹' (e.symm ⁻¹' s) = s :=
e.to_equiv.preimage_symm_preimage s
@[simp] lemma symm_preimage_preimage (e : α ≃o β) (s : set β) : e.symm ⁻¹' (e ⁻¹' s) = s :=
e.to_equiv.symm_preimage_preimage s
@[simp] lemma image_preimage (e : α ≃o β) (s : set β) : e '' (e ⁻¹' s) = s :=
e.to_equiv.image_preimage s
@[simp] lemma preimage_image (e : α ≃o β) (s : set α) : e ⁻¹' (e '' s) = s :=
e.to_equiv.preimage_image s
/-- Composition of two order isomorphisms is an order isomorphism. -/
@[trans] def trans (e : α ≃o β) (e' : β ≃o γ) : α ≃o γ := e.trans e'
@[simp] lemma coe_trans (e : α ≃o β) (e' : β ≃o γ) : ⇑(e.trans e') = e' ∘ e := rfl
lemma trans_apply (e : α ≃o β) (e' : β ≃o γ) (x : α) : e.trans e' x = e' (e x) := rfl
@[simp] lemma refl_trans (e : α ≃o β) : (refl α).trans e = e := by { ext x, refl }
@[simp] lemma trans_refl (e : α ≃o β) : e.trans (refl β) = e := by { ext x, refl }
end has_le
open set
section le
variables [has_le α] [has_le β] [has_le γ]
@[simp] lemma le_iff_le (e : α ≃o β) {x y : α} : e x ≤ e y ↔ x ≤ y := e.map_rel_iff
lemma le_symm_apply (e : α ≃o β) {x : α} {y : β} : x ≤ e.symm y ↔ e x ≤ y :=
e.rel_symm_apply
lemma symm_apply_le (e : α ≃o β) {x : α} {y : β} : e.symm y ≤ x ↔ y ≤ e x :=
e.symm_apply_rel
end le
variables [preorder α] [preorder β] [preorder γ]
protected lemma monotone (e : α ≃o β) : monotone e := e.to_order_embedding.monotone
protected lemma strict_mono (e : α ≃o β) : strict_mono e := e.to_order_embedding.strict_mono
@[simp] lemma lt_iff_lt (e : α ≃o β) {x y : α} : e x < e y ↔ x < y :=
e.to_order_embedding.lt_iff_lt
/-- To show that `f : α → β`, `g : β → α` make up an order isomorphism of linear orders,
it suffices to prove `cmp a (g b) = cmp (f a) b`. --/
def of_cmp_eq_cmp {α β} [linear_order α] [linear_order β] (f : α → β) (g : β → α)
(h : ∀ (a : α) (b : β), cmp a (g b) = cmp (f a) b) : α ≃o β :=
have gf : ∀ (a : α), a = g (f a) := by { intro, rw [←cmp_eq_eq_iff, h, cmp_self_eq_eq] },
{ to_fun := f,
inv_fun := g,
left_inv := λ a, (gf a).symm,
right_inv := by { intro, rw [←cmp_eq_eq_iff, ←h, cmp_self_eq_eq] },
map_rel_iff' := by { intros, apply le_iff_le_of_cmp_eq_cmp, convert (h _ _).symm, apply gf } }
/-- Order isomorphism between two equal sets. -/
def set_congr (s t : set α) (h : s = t) : s ≃o t :=
{ to_equiv := equiv.set_congr h,
map_rel_iff' := λ x y, iff.rfl }
/-- Order isomorphism between `univ : set α` and `α`. -/
def set.univ : (set.univ : set α) ≃o α :=
{ to_equiv := equiv.set.univ α,
map_rel_iff' := λ x y, iff.rfl }
/-- Order isomorphism between `α → β` and `β`, where `α` has a unique element. -/
@[simps to_equiv apply] def fun_unique (α β : Type*) [unique α] [preorder β] :
(α → β) ≃o β :=
{ to_equiv := equiv.fun_unique α β,
map_rel_iff' := λ f g, by simp [pi.le_def, unique.forall_iff] }
@[simp] lemma fun_unique_symm_apply {α β : Type*} [unique α] [preorder β] :
((fun_unique α β).symm : β → α → β) = function.const α := rfl
end order_iso
namespace equiv
variables [preorder α] [preorder β]
/-- If `e` is an equivalence with monotone forward and inverse maps, then `e` is an
order isomorphism. -/
def to_order_iso (e : α ≃ β) (h₁ : monotone e) (h₂ : monotone e.symm) :
α ≃o β :=
⟨e, λ x y, ⟨λ h, by simpa only [e.symm_apply_apply] using h₂ h, λ h, h₁ h⟩⟩
@[simp] lemma coe_to_order_iso (e : α ≃ β) (h₁ : monotone e) (h₂ : monotone e.symm) :
⇑(e.to_order_iso h₁ h₂) = e := rfl
@[simp] lemma to_order_iso_to_equiv (e : α ≃ β) (h₁ : monotone e) (h₂ : monotone e.symm) :
(e.to_order_iso h₁ h₂).to_equiv = e := rfl
end equiv
/-- If a function `f` is strictly monotone on a set `s`, then it defines an order isomorphism
between `s` and its image. -/
protected noncomputable def strict_mono_on.order_iso {α β} [linear_order α] [preorder β]
(f : α → β) (s : set α) (hf : strict_mono_on f s) :
s ≃o f '' s :=
{ to_equiv := hf.inj_on.bij_on_image.equiv _,
map_rel_iff' := λ x y, hf.le_iff_le x.2 y.2 }
/-- A strictly monotone function from a linear order is an order isomorphism between its domain and
its range. -/
protected noncomputable def strict_mono.order_iso {α β} [linear_order α] [preorder β] (f : α → β)
(h_mono : strict_mono f) : α ≃o set.range f :=
{ to_equiv := equiv.of_injective f h_mono.injective,
map_rel_iff' := λ a b, h_mono.le_iff_le }
/-- A strictly monotone surjective function from a linear order is an order isomorphism. -/
noncomputable def strict_mono.order_iso_of_surjective {α β} [linear_order α] [preorder β]
(f : α → β) (h_mono : strict_mono f) (h_surj : surjective f) : α ≃o β :=
(h_mono.order_iso f).trans $ (order_iso.set_congr _ _ h_surj.range_eq).trans order_iso.set.univ
/-- `subrel r p` is the inherited relation on a subset. -/
def subrel (r : α → α → Prop) (p : set α) : p → p → Prop :=
(coe : p → α) ⁻¹'o r
@[simp] theorem subrel_val (r : α → α → Prop) (p : set α)
{a b} : subrel r p a b ↔ r a.1 b.1 := iff.rfl
namespace subrel
/-- The relation embedding from the inherited relation on a subset. -/
protected def rel_embedding (r : α → α → Prop) (p : set α) :
subrel r p ↪r r := ⟨embedding.subtype _, λ a b, iff.rfl⟩
@[simp] theorem rel_embedding_apply (r : α → α → Prop) (p a) :
subrel.rel_embedding r p a = a.1 := rfl
instance (r : α → α → Prop) [is_well_order α r]
(p : set α) : is_well_order p (subrel r p) :=
rel_embedding.is_well_order (subrel.rel_embedding r p)
end subrel
/-- Restrict the codomain of a relation embedding. -/
def rel_embedding.cod_restrict (p : set β) (f : r ↪r s) (H : ∀ a, f a ∈ p) : r ↪r subrel s p :=
⟨f.to_embedding.cod_restrict p H, f.map_rel_iff'⟩
@[simp] theorem rel_embedding.cod_restrict_apply (p) (f : r ↪r s) (H a) :
rel_embedding.cod_restrict p f H a = ⟨f a, H a⟩ := rfl
/-- An order isomorphism is also an order isomorphism between dual orders. -/
protected def order_iso.dual [preorder α] [preorder β] (f : α ≃o β) :
order_dual α ≃o order_dual β := ⟨f.to_equiv, λ _ _, f.map_rel_iff⟩
section lattice_isos
lemma order_iso.map_bot' [partial_order α] [partial_order β] (f : α ≃o β) {x : α} {y : β}
(hx : ∀ x', x ≤ x') (hy : ∀ y', y ≤ y') : f x = y :=
by { refine le_antisymm _ (hy _), rw [← f.apply_symm_apply y, f.map_rel_iff], apply hx }
lemma order_iso.map_bot [order_bot α] [order_bot β] (f : α ≃o β) : f ⊥ = ⊥ :=
f.map_bot' (λ _, bot_le) (λ _, bot_le)
lemma order_iso.map_top' [partial_order α] [partial_order β] (f : α ≃o β) {x : α} {y : β}
(hx : ∀ x', x' ≤ x) (hy : ∀ y', y' ≤ y) : f x = y :=
f.dual.map_bot' hx hy
lemma order_iso.map_top [order_top α] [order_top β] (f : α ≃o β) : f ⊤ = ⊤ :=
f.dual.map_bot
lemma order_embedding.map_inf_le [semilattice_inf α] [semilattice_inf β]
(f : α ↪o β) (x y : α) :
f (x ⊓ y) ≤ f x ⊓ f y :=
f.monotone.map_inf_le x y
lemma order_iso.map_inf [semilattice_inf α] [semilattice_inf β]
(f : α ≃o β) (x y : α) :
f (x ⊓ y) = f x ⊓ f y :=
begin
refine (f.to_order_embedding.map_inf_le x y).antisymm _,
simpa [← f.symm.le_iff_le] using f.symm.to_order_embedding.map_inf_le (f x) (f y)
end
lemma order_embedding.le_map_sup [semilattice_sup α] [semilattice_sup β]
(f : α ↪o β) (x y : α) :
f x ⊔ f y ≤ f (x ⊔ y) :=
f.monotone.le_map_sup x y
lemma order_iso.map_sup [semilattice_sup α] [semilattice_sup β]
(f : α ≃o β) (x y : α) :
f (x ⊔ y) = f x ⊔ f y :=
f.dual.map_inf x y
section bounded_lattice
variables [bounded_lattice α] [bounded_lattice β] (f : α ≃o β)
include f
lemma order_iso.is_compl {x y : α} (h : is_compl x y) : is_compl (f x) (f y) :=
⟨by { rw [← f.map_bot, ← f.map_inf, f.map_rel_iff], exact h.1 },
by { rw [← f.map_top, ← f.map_sup, f.map_rel_iff], exact h.2 }⟩
theorem order_iso.is_compl_iff {x y : α} :
is_compl x y ↔ is_compl (f x) (f y) :=
⟨f.is_compl, λ h, begin
rw [← f.symm_apply_apply x, ← f.symm_apply_apply y],
exact f.symm.is_compl h,
end⟩
lemma order_iso.is_complemented
[is_complemented α] : is_complemented β :=
⟨λ x, begin
obtain ⟨y, hy⟩ := exists_is_compl (f.symm x),
rw ← f.symm_apply_apply y at hy,
refine ⟨f y, f.symm.is_compl_iff.2 hy⟩,
end⟩
theorem order_iso.is_complemented_iff :
is_complemented α ↔ is_complemented β :=
⟨by { introI, exact f.is_complemented }, by { introI, exact f.symm.is_complemented }⟩
end bounded_lattice
end lattice_isos
|
ca03528ba76685281061fc6ba049d415982a78b8 | 4309b17a35495daf93ecb4abf8a4e7bfd8d4c7d6 | /q4.lean | 1cb1dde76122531da1e11d2cafaad0c7c9f98955 | [] | no_license | lbarrios/lean_rio2016 | 7533184d3f186ba66351d5ca9eb4b0c7fcbb02a2 | eb34c5d9cc1396d08d6641e57308a357ea030d1a | refs/heads/master | 1,610,270,235,983 | 1,456,692,208,000 | 1,456,692,208,000 | 52,373,073 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 806 | lean | -------------------------------------------------------
-- Question 4. Prove that every relation R
-- which is transitive, symmetric and serial
-- is also reflexive.
-- Replace the 'sorry' placeholder by an actual proof.
-------------------------------------------------------
variable A : Type
variable R : A → A → Prop
premise transitive : ∀ {a b c : A},
R a b → R b c → R a c
premise symmetric : ∀ {a b : A},
R a b → R b a
premise serial : ∀ a : A, ∃ b : A,
R a b
lemma refl : ∀ a, R a a :=
have H₁ : (∀ a:A, ∃ b:A, R a b), from serial,
take a₁ : A,
have H₂ : ∃ b : A, R a₁ b, from (H₁ a₁),
obtain b₁ (H₃ : R a₁ b₁), from H₂,
have H₄ : R b₁ a₁, from symmetric H₃,
have H₅ : R a₁ a₁, from transitive H₃ H₄,
H₅
|
7b6cf29732d0a3c85b5b3355331ab8ac3f6cbec7 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/Lean3Lib/init/control/applicative.lean | 4cbd5922241dc0bbc8777a225484db614df2129e | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 437 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Sebastian Ullrich
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.control.functor
universes u v l
namespace Mathlib
infixl:60 " <*> " => Mathlib.has_seq.seq
infixl:60 " <* " => Mathlib.has_seq_left.seq_left
infixl:60 " *> " => Mathlib.has_seq_right.seq_right
|
789f54ceb5a5dc14f92e4e92a2334e609a2fbfc1 | 07c6143268cfb72beccd1cc35735d424ebcb187b | /src/category_theory/limits/cones.lean | d68f1c403fb26a84044ce355e68a1229365104e7 | [
"Apache-2.0"
] | permissive | khoek/mathlib | bc49a842910af13a3c372748310e86467d1dc766 | aa55f8b50354b3e11ba64792dcb06cccb2d8ee28 | refs/heads/master | 1,588,232,063,837 | 1,587,304,803,000 | 1,587,304,803,000 | 176,688,517 | 0 | 0 | Apache-2.0 | 1,553,070,585,000 | 1,553,070,585,000 | null | UTF-8 | Lean | false | false | 13,422 | lean | /-
Copyright (c) 2017 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Stephen Morgan, Scott Morrison, Floris van Doorn
-/
import category_theory.const
import category_theory.yoneda
import category_theory.equivalence
universes v u u' -- declare the `v`'s first; see `category_theory.category` for an explanation
open category_theory
-- There is an awkward difficulty with universes here.
-- If we allowed `J` to be a small category in `Prop`, we'd run into trouble
-- because `yoneda.obj (F : (J ⥤ C)ᵒᵖ)` will be a functor into `Sort (max v 1)`,
-- not into `Sort v`.
-- So we don't allow this case; it's not particularly useful anyway.
variables {J : Type v} [small_category J]
variables {C : Type u} [𝒞 : category.{v} C]
include 𝒞
open category_theory
open category_theory.category
open category_theory.functor
open opposite
namespace category_theory
namespace functor
variables {J C} (F : J ⥤ C)
/--
`F.cones` is the functor assigning to an object `X` the type of
natural transformations from the constant functor with value `X` to `F`.
An object representing this functor is a limit of `F`.
-/
def cones : Cᵒᵖ ⥤ Type v := (const J).op ⋙ (yoneda.obj F)
lemma cones_obj (X : Cᵒᵖ) : F.cones.obj X = ((const J).obj (unop X) ⟶ F) := rfl
@[simp] lemma cones_map_app {X₁ X₂ : Cᵒᵖ} (f : X₁ ⟶ X₂) (t : F.cones.obj X₁) (j : J) :
(F.cones.map f t).app j = f.unop ≫ t.app j := rfl
/--
`F.cocones` is the functor assigning to an object `X` the type of
natural transformations from `F` to the constant functor with value `X`.
An object corepresenting this functor is a colimit of `F`.
-/
def cocones : C ⥤ Type v := const J ⋙ coyoneda.obj (op F)
lemma cocones_obj (X : C) : F.cocones.obj X = (F ⟶ (const J).obj X) := rfl
@[simp] lemma cocones_map_app {X₁ X₂ : C} (f : X₁ ⟶ X₂) (t : F.cocones.obj X₁) (j : J) :
(F.cocones.map f t).app j = t.app j ≫ f := rfl
end functor
section
variables (J C)
/--
Functorially associated to each functor `J ⥤ C`, we have the `C`-presheaf consisting of
cones with a given cone point.
-/
@[simps] def cones : (J ⥤ C) ⥤ (Cᵒᵖ ⥤ Type v) :=
{ obj := functor.cones,
map := λ F G f, whisker_left (const J).op (yoneda.map f) }
/--
Contravariantly associated to each functor `J ⥤ C`, we have the `C`-copresheaf consisting of
cocones with a given cocone point.
-/
@[simps] def cocones : (J ⥤ C)ᵒᵖ ⥤ (C ⥤ Type v) :=
{ obj := λ F, functor.cocones (unop F),
map := λ F G f, whisker_left (const J) (coyoneda.map f) }
end
namespace limits
/--
A `c : cone F` is:
* an object `c.X` and
* a natural transformation `c.π : c.X ⟶ F` from the constant `c.X` functor to `F`.
`cone F` is equivalent, via `cone.equiv` below, to `Σ X, F.cones.obj X`.
-/
structure cone (F : J ⥤ C) :=
(X : C)
(π : (const J).obj X ⟶ F)
@[simp] lemma cone.w {F : J ⥤ C} (c : cone F) {j j' : J} (f : j ⟶ j') :
c.π.app j ≫ F.map f = c.π.app j' :=
by convert ←(c.π.naturality f).symm; apply id_comp
/--
A `c : cocone F` is
* an object `c.X` and
* a natural transformation `c.ι : F ⟶ c.X` from `F` to the constant `c.X` functor.
`cocone F` is equivalent, via `cone.equiv` below, to `Σ X, F.cocones.obj X`.
-/
structure cocone (F : J ⥤ C) :=
(X : C)
(ι : F ⟶ (const J).obj X)
@[simp] lemma cocone.w {F : J ⥤ C} (c : cocone F) {j j' : J} (f : j ⟶ j') :
F.map f ≫ c.ι.app j' = c.ι.app j :=
by convert ←(c.ι.naturality f); apply comp_id
variables {F : J ⥤ C}
namespace cone
def equiv (F : J ⥤ C) : cone F ≅ Σ X, F.cones.obj X :=
{ hom := λ c, ⟨op c.X, c.π⟩,
inv := λ c, { X := unop c.1, π := c.2 },
hom_inv_id' := begin ext, cases x, refl, end,
inv_hom_id' := begin ext, cases x, refl, end }
@[simp] def extensions (c : cone F) : yoneda.obj c.X ⟶ F.cones :=
{ app := λ X f, ((const J).map f) ≫ c.π }
/-- A map to the vertex of a cone induces a cone by composition. -/
@[simp] def extend (c : cone F) {X : C} (f : X ⟶ c.X) : cone F :=
{ X := X,
π := c.extensions.app (op X) f }
@[simp] lemma extend_π (c : cone F) {X : Cᵒᵖ} (f : unop X ⟶ c.X) :
(extend c f).π = c.extensions.app X f :=
rfl
@[simps] def whisker {K : Type v} [small_category K] (E : K ⥤ J) (c : cone F) : cone (E ⋙ F) :=
{ X := c.X,
π := whisker_left E c.π }
end cone
namespace cocone
def equiv (F : J ⥤ C) : cocone F ≅ Σ X, F.cocones.obj X :=
{ hom := λ c, ⟨c.X, c.ι⟩,
inv := λ c, { X := c.1, ι := c.2 },
hom_inv_id' := begin ext, cases x, refl, end,
inv_hom_id' := begin ext, cases x, refl, end }
@[simp] def extensions (c : cocone F) : coyoneda.obj (op c.X) ⟶ F.cocones :=
{ app := λ X f, c.ι ≫ (const J).map f }
/-- A map from the vertex of a cocone induces a cocone by composition. -/
@[simp] def extend (c : cocone F) {X : C} (f : c.X ⟶ X) : cocone F :=
{ X := X,
ι := c.extensions.app X f }
@[simp] lemma extend_ι (c : cocone F) {X : C} (f : c.X ⟶ X) :
(extend c f).ι = c.extensions.app X f :=
rfl
@[simps] def whisker {K : Type v} [small_category K] (E : K ⥤ J) (c : cocone F) : cocone (E ⋙ F) :=
{ X := c.X,
ι := whisker_left E c.ι }
end cocone
@[ext] structure cone_morphism (A B : cone F) :=
(hom : A.X ⟶ B.X)
(w' : ∀ j : J, hom ≫ B.π.app j = A.π.app j . obviously)
restate_axiom cone_morphism.w'
attribute [simp] cone_morphism.w
@[simps] instance cone.category : category.{v} (cone F) :=
{ hom := λ A B, cone_morphism A B,
comp := λ X Y Z f g,
{ hom := f.hom ≫ g.hom,
w' := by intro j; rw [assoc, g.w, f.w] },
id := λ B, { hom := 𝟙 B.X } }
namespace cones
/-- To give an isomorphism between cones, it suffices to give an
isomorphism between their vertices which commutes with the cone
maps. -/
@[ext, simps] def ext {c c' : cone F}
(φ : c.X ≅ c'.X) (w : ∀ j, c.π.app j = φ.hom ≫ c'.π.app j) : c ≅ c' :=
{ hom := { hom := φ.hom },
inv := { hom := φ.inv, w' := λ j, φ.inv_comp_eq.mpr (w j) } }
@[simps] def postcompose {G : J ⥤ C} (α : F ⟶ G) : cone F ⥤ cone G :=
{ obj := λ c, { X := c.X, π := c.π ≫ α },
map := λ c₁ c₂ f, { hom := f.hom, w' :=
by intro; erw ← category.assoc; simp [-category.assoc] } }
def postcompose_comp {G H : J ⥤ C} (α : F ⟶ G) (β : G ⟶ H) :
postcompose (α ≫ β) ≅ postcompose α ⋙ postcompose β :=
by { fapply nat_iso.of_components, { intro s, fapply ext, refl, obviously }, obviously }
def postcompose_id : postcompose (𝟙 F) ≅ 𝟭 (cone F) :=
by { fapply nat_iso.of_components, { intro s, fapply ext, refl, obviously }, obviously }
def postcompose_equivalence {G : J ⥤ C} (α : F ≅ G) : cone F ≌ cone G :=
begin
refine equivalence.mk (postcompose α.hom) (postcompose α.inv) _ _,
{ symmetry,
refine (postcompose_comp _ _).symm.trans _, rw [iso.hom_inv_id], exact postcompose_id },
{ refine (postcompose_comp _ _).symm.trans _, rw [iso.inv_hom_id], exact postcompose_id }
end
section
variable (F)
@[simps]
def forget : cone F ⥤ C :=
{ obj := λ t, t.X, map := λ s t f, f.hom }
variables {D : Type u'} [𝒟 : category.{v} D]
include 𝒟
@[simps] def functoriality (G : C ⥤ D) : cone F ⥤ cone (F ⋙ G) :=
{ obj := λ A,
{ X := G.obj A.X,
π := { app := λ j, G.map (A.π.app j), naturality' := by intros; erw ←G.map_comp; tidy } },
map := λ X Y f,
{ hom := G.map f.hom,
w' := by intros; rw [←functor.map_comp, f.w] } }
end
end cones
@[ext] structure cocone_morphism (A B : cocone F) :=
(hom : A.X ⟶ B.X)
(w' : ∀ j : J, A.ι.app j ≫ hom = B.ι.app j . obviously)
restate_axiom cocone_morphism.w'
attribute [simp] cocone_morphism.w
@[simps] instance cocone.category : category.{v} (cocone F) :=
{ hom := λ A B, cocone_morphism A B,
comp := λ _ _ _ f g,
{ hom := f.hom ≫ g.hom,
w' := by intro j; rw [←assoc, f.w, g.w] },
id := λ B, { hom := 𝟙 B.X } }
namespace cocones
/-- To give an isomorphism between cocones, it suffices to give an
isomorphism between their vertices which commutes with the cocone
maps. -/
@[ext, simps] def ext {c c' : cocone F}
(φ : c.X ≅ c'.X) (w : ∀ j, c.ι.app j ≫ φ.hom = c'.ι.app j) : c ≅ c' :=
{ hom := { hom := φ.hom },
inv := { hom := φ.inv, w' := λ j, φ.comp_inv_eq.mpr (w j).symm } }
@[simps] def precompose {G : J ⥤ C} (α : G ⟶ F) : cocone F ⥤ cocone G :=
{ obj := λ c, { X := c.X, ι := α ≫ c.ι },
map := λ c₁ c₂ f, { hom := f.hom } }
def precompose_comp {G H : J ⥤ C} (α : F ⟶ G) (β : G ⟶ H) :
precompose (α ≫ β) ≅ precompose β ⋙ precompose α :=
by { fapply nat_iso.of_components, { intro s, fapply ext, refl, obviously }, obviously }
def precompose_id : precompose (𝟙 F) ≅ 𝟭 (cocone F) :=
by { fapply nat_iso.of_components, { intro s, fapply ext, refl, obviously }, obviously }
def precompose_equivalence {G : J ⥤ C} (α : G ≅ F) : cocone F ≌ cocone G :=
begin
refine equivalence.mk (precompose α.hom) (precompose α.inv) _ _,
{ symmetry, refine (precompose_comp _ _).symm.trans _, rw [iso.inv_hom_id], exact precompose_id },
{ refine (precompose_comp _ _).symm.trans _, rw [iso.hom_inv_id], exact precompose_id }
end
section
variable (F)
@[simps]
def forget : cocone F ⥤ C :=
{ obj := λ t, t.X, map := λ s t f, f.hom }
variables {D : Type u'} [𝒟 : category.{v} D]
include 𝒟
@[simps] def functoriality (G : C ⥤ D) : cocone F ⥤ cocone (F ⋙ G) :=
{ obj := λ A,
{ X := G.obj A.X,
ι := { app := λ j, G.map (A.ι.app j), naturality' := by intros; erw ←G.map_comp; tidy } },
map := λ _ _ f,
{ hom := G.map f.hom,
w' := by intros; rw [←functor.map_comp, cocone_morphism.w] } }
end
end cocones
end limits
namespace functor
variables {D : Type u'} [category.{v} D]
variables {F : J ⥤ C} {G : J ⥤ C} (H : C ⥤ D)
open category_theory.limits
/-- The image of a cone in C under a functor G : C ⥤ D is a cone in D. -/
def map_cone (c : cone F) : cone (F ⋙ H) := (cones.functoriality F H).obj c
/-- The image of a cocone in C under a functor G : C ⥤ D is a cocone in D. -/
def map_cocone (c : cocone F) : cocone (F ⋙ H) := (cocones.functoriality F H).obj c
@[simp] lemma map_cone_X (c : cone F) : (H.map_cone c).X = H.obj c.X := rfl
@[simp] lemma map_cocone_X (c : cocone F) : (H.map_cocone c).X = H.obj c.X := rfl
@[simps]
def map_cone_inv [is_equivalence H]
(c : cone (F ⋙ H)) : cone F :=
let t := (inv H).map_cone c in
let α : (F ⋙ H) ⋙ inv H ⟶ F :=
((whisker_left F is_equivalence.unit_iso.inv) : F ⋙ (H ⋙ inv H) ⟶ _) ≫ (functor.right_unitor _).hom in
{ X := t.X,
π := ((category_theory.cones J C).map α).app (op t.X) t.π }
def map_cone_morphism {c c' : cone F} (f : c ⟶ c') :
(H.map_cone c) ⟶ (H.map_cone c') := (cones.functoriality F H).map f
def map_cocone_morphism {c c' : cocone F} (f : c ⟶ c') :
(H.map_cocone c) ⟶ (H.map_cocone c') := (cocones.functoriality F H).map f
@[simp] lemma map_cone_π (c : cone F) (j : J) :
(map_cone H c).π.app j = H.map (c.π.app j) := rfl
@[simp] lemma map_cocone_ι (c : cocone F) (j : J) :
(map_cocone H c).ι.app j = H.map (c.ι.app j) := rfl
/-- `map_cone` is the left inverse to `map_cone_inv`. -/
def map_cone_map_cone_inv {F : J ⥤ D} (H : D ⥤ C) [is_equivalence H] (c : cone (F ⋙ H)) :
map_cone H (map_cone_inv H c) ≅ c :=
begin
apply cones.ext _ (λ j, _),
{ exact H.inv_fun_id.app c.X },
{ dsimp,
erw [comp_id, ← H.inv_fun_id.hom.naturality (c.π.app j), comp_map, H.map_comp],
congr' 1,
erw [← cancel_epi (H.inv_fun_id.inv.app (H.obj (F.obj j))), nat_iso.inv_hom_id_app,
← (functor.as_equivalence H).functor_unit _, ← H.map_comp, nat_iso.hom_inv_id_app,
H.map_id],
refl }
end
end functor
end category_theory
namespace category_theory.limits
variables {F : J ⥤ Cᵒᵖ}
-- Here and below we only automatically generate the `@[simp]` lemma for the `X` field,
-- as we can be a simpler `rfl` lemma for the components of the natural transformation by hand.
@[simps X] def cone_of_cocone_left_op (c : cocone F.left_op) : cone F :=
{ X := op c.X,
π := nat_trans.right_op (c.ι ≫ (const.op_obj_unop (op c.X)).hom) }
@[simp] lemma cone_of_cocone_left_op_π_app (c : cocone F.left_op) (j) :
(cone_of_cocone_left_op c).π.app j = (c.ι.app (op j)).op :=
by { dsimp [cone_of_cocone_left_op], simp }
@[simps X] def cocone_left_op_of_cone (c : cone F) : cocone (F.left_op) :=
{ X := unop c.X,
ι := nat_trans.left_op c.π }
@[simp] lemma cocone_left_op_of_cone_ι_app (c : cone F) (j) :
(cocone_left_op_of_cone c).ι.app j = (c.π.app (unop j)).unop :=
by { dsimp [cocone_left_op_of_cone], simp }
@[simps X] def cocone_of_cone_left_op (c : cone F.left_op) : cocone F :=
{ X := op c.X,
ι := nat_trans.right_op ((const.op_obj_unop (op c.X)).hom ≫ c.π) }
@[simp] lemma cocone_of_cone_left_op_ι_app (c : cone F.left_op) (j) :
(cocone_of_cone_left_op c).ι.app j = (c.π.app (op j)).op :=
by { dsimp [cocone_of_cone_left_op], simp }
@[simps X] def cone_left_op_of_cocone (c : cocone F) : cone (F.left_op) :=
{ X := unop c.X,
π := nat_trans.left_op c.ι }
@[simp] lemma cone_left_op_of_cocone_π_app (c : cocone F) (j) :
(cone_left_op_of_cocone c).π.app j = (c.ι.app (unop j)).unop :=
by { dsimp [cone_left_op_of_cocone], simp }
end category_theory.limits
|
74e966060c1ae5fdc0c0794233d4f50ab242b414 | 26ac254ecb57ffcb886ff709cf018390161a9225 | /src/analysis/normed_space/banach.lean | 3a7f442fe46418f752cb675a4c91b765517165c4 | [
"Apache-2.0"
] | permissive | eric-wieser/mathlib | 42842584f584359bbe1fc8b88b3ff937c8acd72d | d0df6b81cd0920ad569158c06a3fd5abb9e63301 | refs/heads/master | 1,669,546,404,255 | 1,595,254,668,000 | 1,595,254,668,000 | 281,173,504 | 0 | 0 | Apache-2.0 | 1,595,263,582,000 | 1,595,263,581,000 | null | UTF-8 | Lean | false | false | 12,058 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import topology.metric_space.baire
import analysis.normed_space.operator_norm
/-!
# Banach open mapping theorem
This file contains the Banach open mapping theorem, i.e., the fact that a bijective
bounded linear map between Banach spaces has a bounded inverse.
-/
open function metric set filter finset
open_locale classical topological_space big_operators
variables {𝕜 : Type*} [nondiscrete_normed_field 𝕜]
{E : Type*} [normed_group E] [normed_space 𝕜 E]
{F : Type*} [normed_group F] [normed_space 𝕜 F]
(f : E →L[𝕜] F)
include 𝕜
variable [complete_space F]
/--
First step of the proof of the Banach open mapping theorem (using completeness of `F`):
by Baire's theorem, there exists a ball in `E` whose image closure has nonempty interior.
Rescaling everything, it follows that any `y ∈ F` is arbitrarily well approached by
images of elements of norm at most `C * ∥y∥`.
For further use, we will only need such an element whose image
is within distance `∥y∥/2` of `y`, to apply an iterative process. -/
@[nolint ge_or_gt] -- see Note [nolint_ge]
lemma exists_approx_preimage_norm_le (surj : surjective f) :
∃C ≥ 0, ∀y, ∃x, dist (f x) y ≤ 1/2 * ∥y∥ ∧ ∥x∥ ≤ C * ∥y∥ :=
begin
have A : (⋃n:ℕ, closure (f '' (ball 0 n))) = univ,
{ refine subset.antisymm (subset_univ _) (λy hy, _),
rcases surj y with ⟨x, hx⟩,
rcases exists_nat_gt (∥x∥) with ⟨n, hn⟩,
refine mem_Union.2 ⟨n, subset_closure _⟩,
refine (mem_image _ _ _).2 ⟨x, ⟨_, hx⟩⟩,
rwa [mem_ball, dist_eq_norm, sub_zero] },
have : ∃ (n : ℕ) x, x ∈ interior (closure (f '' (ball 0 n))) :=
nonempty_interior_of_Union_of_closed (λn, is_closed_closure) A,
simp only [mem_interior_iff_mem_nhds, mem_nhds_iff] at this,
rcases this with ⟨n, a, ε, ⟨εpos, H⟩⟩,
rcases normed_field.exists_one_lt_norm 𝕜 with ⟨c, hc⟩,
refine ⟨(ε/2)⁻¹ * ∥c∥ * 2 * n, _, λy, _⟩,
{ refine mul_nonneg (mul_nonneg (mul_nonneg _ (norm_nonneg _)) (by norm_num)) _,
refine inv_nonneg.2 (div_nonneg' (le_of_lt εpos) (by norm_num)),
exact nat.cast_nonneg n },
{ by_cases hy : y = 0,
{ use 0, simp [hy] },
{ rcases rescale_to_shell hc (half_pos εpos) hy with ⟨d, hd, ydle, leyd, dinv⟩,
let δ := ∥d∥ * ∥y∥/4,
have δpos : 0 < δ :=
div_pos (mul_pos (norm_pos_iff.2 hd) (norm_pos_iff.2 hy)) (by norm_num),
have : a + d • y ∈ ball a ε,
by simp [dist_eq_norm, lt_of_le_of_lt ydle (half_lt_self εpos)],
rcases metric.mem_closure_iff.1 (H this) _ δpos with ⟨z₁, z₁im, h₁⟩,
rcases (mem_image _ _ _).1 z₁im with ⟨x₁, hx₁, xz₁⟩,
rw ← xz₁ at h₁,
rw [mem_ball, dist_eq_norm, sub_zero] at hx₁,
have : a ∈ ball a ε, by { simp, exact εpos },
rcases metric.mem_closure_iff.1 (H this) _ δpos with ⟨z₂, z₂im, h₂⟩,
rcases (mem_image _ _ _).1 z₂im with ⟨x₂, hx₂, xz₂⟩,
rw ← xz₂ at h₂,
rw [mem_ball, dist_eq_norm, sub_zero] at hx₂,
let x := x₁ - x₂,
have I : ∥f x - d • y∥ ≤ 2 * δ := calc
∥f x - d • y∥ = ∥f x₁ - (a + d • y) - (f x₂ - a)∥ :
by { congr' 1, simp only [x, f.map_sub], abel }
... ≤ ∥f x₁ - (a + d • y)∥ + ∥f x₂ - a∥ :
norm_sub_le _ _
... ≤ δ + δ : begin
apply add_le_add,
{ rw [← dist_eq_norm, dist_comm], exact le_of_lt h₁ },
{ rw [← dist_eq_norm, dist_comm], exact le_of_lt h₂ }
end
... = 2 * δ : (two_mul _).symm,
have J : ∥f (d⁻¹ • x) - y∥ ≤ 1/2 * ∥y∥ := calc
∥f (d⁻¹ • x) - y∥ = ∥d⁻¹ • f x - (d⁻¹ * d) • y∥ :
by rwa [f.map_smul _, inv_mul_cancel, one_smul]
... = ∥d⁻¹ • (f x - d • y)∥ : by rw [mul_smul, smul_sub]
... = ∥d∥⁻¹ * ∥f x - d • y∥ : by rw [norm_smul, normed_field.norm_inv]
... ≤ ∥d∥⁻¹ * (2 * δ) : begin
apply mul_le_mul_of_nonneg_left I,
rw inv_nonneg,
exact norm_nonneg _
end
... = (∥d∥⁻¹ * ∥d∥) * ∥y∥ /2 : by { simp only [δ], ring }
... = ∥y∥/2 : by { rw [inv_mul_cancel, one_mul], simp [norm_eq_zero, hd] }
... = (1/2) * ∥y∥ : by ring,
rw ← dist_eq_norm at J,
have 𝕜 : ∥d⁻¹ • x∥ ≤ (ε / 2)⁻¹ * ∥c∥ * 2 * ↑n * ∥y∥ := calc
∥d⁻¹ • x∥ = ∥d∥⁻¹ * ∥x₁ - x₂∥ : by rw [norm_smul, normed_field.norm_inv]
... ≤ ((ε / 2)⁻¹ * ∥c∥ * ∥y∥) * (n + n) : begin
refine mul_le_mul dinv _ (norm_nonneg _) _,
{ exact le_trans (norm_sub_le _ _) (add_le_add (le_of_lt hx₁) (le_of_lt hx₂)) },
{ apply mul_nonneg (mul_nonneg _ (norm_nonneg _)) (norm_nonneg _),
exact inv_nonneg.2 (le_of_lt (half_pos εpos)) }
end
... = (ε / 2)⁻¹ * ∥c∥ * 2 * ↑n * ∥y∥ : by ring,
exact ⟨d⁻¹ • x, J, 𝕜⟩ } },
end
variable [complete_space E]
/-- The Banach open mapping theorem: if a bounded linear map between Banach spaces is onto, then
any point has a preimage with controlled norm. -/
@[nolint ge_or_gt] -- see Note [nolint_ge]
theorem exists_preimage_norm_le (surj : surjective f) :
∃C > 0, ∀y, ∃x, f x = y ∧ ∥x∥ ≤ C * ∥y∥ :=
begin
obtain ⟨C, C0, hC⟩ := exists_approx_preimage_norm_le f surj,
/- Second step of the proof: starting from `y`, we want an exact preimage of `y`. Let `g y` be
the approximate preimage of `y` given by the first step, and `h y = y - f(g y)` the part that
has no preimage yet. We will iterate this process, taking the approximate preimage of `h y`,
leaving only `h^2 y` without preimage yet, and so on. Let `u n` be the approximate preimage
of `h^n y`. Then `u` is a converging series, and by design the sum of the series is a
preimage of `y`. This uses completeness of `E`. -/
choose g hg using hC,
let h := λy, y - f (g y),
have hle : ∀y, ∥h y∥ ≤ (1/2) * ∥y∥,
{ assume y,
rw [← dist_eq_norm, dist_comm],
exact (hg y).1 },
refine ⟨2 * C + 1, by linarith, λy, _⟩,
have hnle : ∀n:ℕ, ∥(h^[n]) y∥ ≤ (1/2)^n * ∥y∥,
{ assume n,
induction n with n IH,
{ simp only [one_div_eq_inv, nat.nat_zero_eq_zero, one_mul, iterate_zero_apply,
pow_zero] },
{ rw [iterate_succ'],
apply le_trans (hle _) _,
rw [pow_succ, mul_assoc],
apply mul_le_mul_of_nonneg_left IH,
norm_num } },
let u := λn, g((h^[n]) y),
have ule : ∀n, ∥u n∥ ≤ (1/2)^n * (C * ∥y∥),
{ assume n,
apply le_trans (hg _).2 _,
calc C * ∥(h^[n]) y∥ ≤ C * ((1/2)^n * ∥y∥) : mul_le_mul_of_nonneg_left (hnle n) C0
... = (1 / 2) ^ n * (C * ∥y∥) : by ring },
have sNu : summable (λn, ∥u n∥),
{ refine summable_of_nonneg_of_le (λn, norm_nonneg _) ule _,
exact summable.mul_right _ (summable_geometric_of_lt_1 (by norm_num) (by norm_num)) },
have su : summable u := summable_of_summable_norm sNu,
let x := tsum u,
have x_ineq : ∥x∥ ≤ (2 * C + 1) * ∥y∥ := calc
∥x∥ ≤ (∑'n, ∥u n∥) : norm_tsum_le_tsum_norm sNu
... ≤ (∑'n, (1/2)^n * (C * ∥y∥)) :
tsum_le_tsum ule sNu (summable.mul_right _ summable_geometric_two)
... = (∑'n, (1/2)^n) * (C * ∥y∥) : by { rw tsum_mul_right, exact summable_geometric_two }
... = 2 * (C * ∥y∥) : by rw tsum_geometric_two
... = 2 * C * ∥y∥ + 0 : by rw [add_zero, mul_assoc]
... ≤ 2 * C * ∥y∥ + ∥y∥ : add_le_add (le_refl _) (norm_nonneg _)
... = (2 * C + 1) * ∥y∥ : by ring,
have fsumeq : ∀n:ℕ, f(∑ i in finset.range n, u i) = y - (h^[n]) y,
{ assume n,
induction n with n IH,
{ simp [f.map_zero] },
{ rw [sum_range_succ, f.map_add, IH, iterate_succ'],
simp [u, h, sub_eq_add_neg, add_comm, add_left_comm] } },
have : tendsto (λn, ∑ i in range n, u i) at_top (𝓝 x) :=
su.has_sum.tendsto_sum_nat,
have L₁ : tendsto (λn, f(∑ i in range n, u i)) at_top (𝓝 (f x)) :=
(f.continuous.tendsto _).comp this,
simp only [fsumeq] at L₁,
have L₂ : tendsto (λn, y - (h^[n]) y) at_top (𝓝 (y - 0)),
{ refine tendsto_const_nhds.sub _,
rw tendsto_iff_norm_tendsto_zero,
simp only [sub_zero],
refine squeeze_zero (λ_, norm_nonneg _) hnle _,
have : 0 = 0 * ∥y∥, by rw zero_mul,
rw this,
refine tendsto.mul _ tendsto_const_nhds,
exact tendsto_pow_at_top_nhds_0_of_lt_1 (by norm_num) (by norm_num) },
have feq : f x = y - 0 := tendsto_nhds_unique L₁ L₂,
rw sub_zero at feq,
exact ⟨x, feq, x_ineq⟩
end
/-- The Banach open mapping theorem: a surjective bounded linear map between Banach spaces is open. -/
theorem open_mapping (surj : surjective f) : is_open_map f :=
begin
assume s hs,
rcases exists_preimage_norm_le f surj with ⟨C, Cpos, hC⟩,
refine is_open_iff.2 (λy yfs, _),
rcases mem_image_iff_bex.1 yfs with ⟨x, xs, fxy⟩,
rcases is_open_iff.1 hs x xs with ⟨ε, εpos, hε⟩,
refine ⟨ε/C, div_pos εpos Cpos, λz hz, _⟩,
rcases hC (z-y) with ⟨w, wim, wnorm⟩,
have : f (x + w) = z, by { rw [f.map_add, wim, fxy, add_sub_cancel'_right] },
rw ← this,
have : x + w ∈ ball x ε := calc
dist (x+w) x = ∥w∥ : by { rw dist_eq_norm, simp }
... ≤ C * ∥z - y∥ : wnorm
... < C * (ε/C) : begin
apply mul_lt_mul_of_pos_left _ Cpos,
rwa [mem_ball, dist_eq_norm] at hz,
end
... = ε : mul_div_cancel' _ (ne_of_gt Cpos),
exact set.mem_image_of_mem _ (hε this)
end
namespace linear_equiv
/-- If a bounded linear map is a bijection, then its inverse is also a bounded linear map. -/
theorem continuous_symm (e : E ≃ₗ[𝕜] F) (h : continuous e) :
continuous e.symm :=
begin
intros s hs,
rw [← e.image_eq_preimage],
rw [← e.coe_coe] at h ⊢,
exact open_mapping ⟨↑e, h⟩ e.surjective s hs
end
/-- Associating to a linear equivalence between Banach spaces a continuous linear equivalence when
the direct map is continuous, thanks to the Banach open mapping theorem that ensures that the
inverse map is also continuous. -/
def to_continuous_linear_equiv_of_continuous (e : E ≃ₗ[𝕜] F) (h : continuous e) :
E ≃L[𝕜] F :=
{ continuous_to_fun := h,
continuous_inv_fun := e.continuous_symm h,
..e }
@[simp] lemma coe_fn_to_continuous_linear_equiv_of_continuous (e : E ≃ₗ[𝕜] F) (h : continuous e) :
⇑(e.to_continuous_linear_equiv_of_continuous h) = e := rfl
@[simp] lemma coe_fn_to_continuous_linear_equiv_of_continuous_symm (e : E ≃ₗ[𝕜] F)
(h : continuous e) :
⇑(e.to_continuous_linear_equiv_of_continuous h).symm = e.symm := rfl
end linear_equiv
namespace continuous_linear_equiv
/-- Convert a bijective continuous linear map `f : E →L[𝕜] F` between two Banach spaces
to a continuous linear equivalence. -/
noncomputable def of_bijective (f : E →L[𝕜] F) (hinj : f.ker = ⊥) (hsurj : f.range = ⊤) :
E ≃L[𝕜] F :=
(linear_equiv.of_bijective ↑f hinj hsurj).to_continuous_linear_equiv_of_continuous f.continuous
@[simp] lemma coe_fn_of_bijective (f : E →L[𝕜] F) (hinj : f.ker = ⊥) (hsurj : f.range = ⊤) :
⇑(of_bijective f hinj hsurj) = f := rfl
@[simp] lemma of_bijective_symm_apply_apply (f : E →L[𝕜] F) (hinj : f.ker = ⊥)
(hsurj : f.range = ⊤) (x : E) :
(of_bijective f hinj hsurj).symm (f x) = x :=
(of_bijective f hinj hsurj).symm_apply_apply x
@[simp] lemma of_bijective_apply_symm_apply (f : E →L[𝕜] F) (hinj : f.ker = ⊥)
(hsurj : f.range = ⊤) (y : F) :
f ((of_bijective f hinj hsurj).symm y) = y :=
(of_bijective f hinj hsurj).apply_symm_apply y
end continuous_linear_equiv
|
31035a4c64d06b2776752cd0de44e1d1fd88bd8f | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/topology/metric_space/isometry.lean | 0836c9fe2fb95510c71304b99d23edc773d27379 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 21,132 | lean | /-
Copyright (c) 2018 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Isometries of emetric and metric spaces
Authors: Sébastien Gouëzel
-/
import topology.metric_space.antilipschitz
/-!
# Isometries
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
We define isometries, i.e., maps between emetric spaces that preserve
the edistance (on metric spaces, these are exactly the maps that preserve distances),
and prove their basic properties. We also introduce isometric bijections.
Since a lot of elementary properties don't require `eq_of_dist_eq_zero` we start setting up the
theory for `pseudo_metric_space` and we specialize to `metric_space` when needed.
-/
noncomputable theory
universes u v w
variables {ι : Type*} {α : Type u} {β : Type v} {γ : Type w}
open function set
open_locale topology ennreal
/-- An isometry (also known as isometric embedding) is a map preserving the edistance
between pseudoemetric spaces, or equivalently the distance between pseudometric space. -/
def isometry [pseudo_emetric_space α] [pseudo_emetric_space β] (f : α → β) : Prop :=
∀x1 x2 : α, edist (f x1) (f x2) = edist x1 x2
/-- On pseudometric spaces, a map is an isometry if and only if it preserves nonnegative
distances. -/
lemma isometry_iff_nndist_eq [pseudo_metric_space α] [pseudo_metric_space β] {f : α → β} :
isometry f ↔ (∀x y, nndist (f x) (f y) = nndist x y) :=
by simp only [isometry, edist_nndist, ennreal.coe_eq_coe]
/-- On pseudometric spaces, a map is an isometry if and only if it preserves distances. -/
lemma isometry_iff_dist_eq [pseudo_metric_space α] [pseudo_metric_space β] {f : α → β} :
isometry f ↔ (∀x y, dist (f x) (f y) = dist x y) :=
by simp only [isometry_iff_nndist_eq, ← coe_nndist, nnreal.coe_eq]
/-- An isometry preserves distances. -/
alias isometry_iff_dist_eq ↔ isometry.dist_eq _
/-- A map that preserves distances is an isometry -/
alias isometry_iff_dist_eq ↔ _ isometry.of_dist_eq
/-- An isometry preserves non-negative distances. -/
alias isometry_iff_nndist_eq ↔ isometry.nndist_eq _
/-- A map that preserves non-negative distances is an isometry. -/
alias isometry_iff_nndist_eq ↔ _ isometry.of_nndist_eq
namespace isometry
section pseudo_emetric_isometry
variables [pseudo_emetric_space α] [pseudo_emetric_space β] [pseudo_emetric_space γ]
variables {f : α → β} {x y z : α} {s : set α}
/-- An isometry preserves edistances. -/
theorem edist_eq (hf : isometry f) (x y : α) : edist (f x) (f y) = edist x y := hf x y
lemma lipschitz (h : isometry f) : lipschitz_with 1 f :=
lipschitz_with.of_edist_le $ λ x y, (h x y).le
lemma antilipschitz (h : isometry f) : antilipschitz_with 1 f :=
λ x y, by simp only [h x y, ennreal.coe_one, one_mul, le_refl]
/-- Any map on a subsingleton is an isometry -/
@[nontriviality] theorem _root_.isometry_subsingleton [subsingleton α] : isometry f :=
λx y, by rw subsingleton.elim x y; simp
/-- The identity is an isometry -/
lemma _root_.isometry_id : isometry (id : α → α) := λ x y, rfl
lemma prod_map {δ} [pseudo_emetric_space δ] {f : α → β} {g : γ → δ} (hf : isometry f)
(hg : isometry g) : isometry (prod.map f g) :=
λ x y, by simp only [prod.edist_eq, hf.edist_eq, hg.edist_eq, prod_map]
lemma _root_.isometry_dcomp {ι} [fintype ι] {α β : ι → Type*} [Π i, pseudo_emetric_space (α i)]
[Π i, pseudo_emetric_space (β i)] (f : Π i, α i → β i) (hf : ∀ i, isometry (f i)) :
isometry (dcomp f) :=
λ x y, by simp only [edist_pi_def, (hf _).edist_eq]
/-- The composition of isometries is an isometry. -/
theorem comp {g : β → γ} {f : α → β} (hg : isometry g) (hf : isometry f) : isometry (g ∘ f) :=
λ x y, (hg _ _).trans (hf _ _)
/-- An isometry from a metric space is a uniform continuous map -/
protected theorem uniform_continuous (hf : isometry f) : uniform_continuous f :=
hf.lipschitz.uniform_continuous
/-- An isometry from a metric space is a uniform inducing map -/
protected theorem uniform_inducing (hf : isometry f) : uniform_inducing f :=
hf.antilipschitz.uniform_inducing hf.uniform_continuous
lemma tendsto_nhds_iff {ι : Type*} {f : α → β} {g : ι → α} {a : filter ι} {b : α}
(hf : isometry f) :
filter.tendsto g a (𝓝 b) ↔ filter.tendsto (f ∘ g) a (𝓝 (f b)) :=
hf.uniform_inducing.inducing.tendsto_nhds_iff
/-- An isometry is continuous. -/
protected lemma continuous (hf : isometry f) : continuous f := hf.lipschitz.continuous
/-- The right inverse of an isometry is an isometry. -/
lemma right_inv {f : α → β} {g : β → α} (h : isometry f) (hg : right_inverse g f) :
isometry g :=
λ x y, by rw [← h, hg _, hg _]
lemma preimage_emetric_closed_ball (h : isometry f) (x : α) (r : ℝ≥0∞) :
f ⁻¹' (emetric.closed_ball (f x) r) = emetric.closed_ball x r :=
by { ext y, simp [h.edist_eq] }
lemma preimage_emetric_ball (h : isometry f) (x : α) (r : ℝ≥0∞) :
f ⁻¹' (emetric.ball (f x) r) = emetric.ball x r :=
by { ext y, simp [h.edist_eq] }
/-- Isometries preserve the diameter in pseudoemetric spaces. -/
lemma ediam_image (hf : isometry f) (s : set α) : emetric.diam (f '' s) = emetric.diam s :=
eq_of_forall_ge_iff $ λ d,
by simp only [emetric.diam_le_iff, ball_image_iff, hf.edist_eq]
lemma ediam_range (hf : isometry f) : emetric.diam (range f) = emetric.diam (univ : set α) :=
by { rw ← image_univ, exact hf.ediam_image univ }
lemma maps_to_emetric_ball (hf : isometry f) (x : α) (r : ℝ≥0∞) :
maps_to f (emetric.ball x r) (emetric.ball (f x) r) :=
(hf.preimage_emetric_ball x r).ge
lemma maps_to_emetric_closed_ball (hf : isometry f) (x : α) (r : ℝ≥0∞) :
maps_to f (emetric.closed_ball x r) (emetric.closed_ball (f x) r) :=
(hf.preimage_emetric_closed_ball x r).ge
/-- The injection from a subtype is an isometry -/
lemma _root_.isometry_subtype_coe {s : set α} : isometry (coe : s → α) :=
λx y, rfl
lemma comp_continuous_on_iff {γ} [topological_space γ] (hf : isometry f) {g : γ → α} {s : set γ} :
continuous_on (f ∘ g) s ↔ continuous_on g s :=
hf.uniform_inducing.inducing.continuous_on_iff.symm
lemma comp_continuous_iff {γ} [topological_space γ] (hf : isometry f) {g : γ → α} :
continuous (f ∘ g) ↔ continuous g :=
hf.uniform_inducing.inducing.continuous_iff.symm
end pseudo_emetric_isometry --section
section emetric_isometry
variables [emetric_space α] [pseudo_emetric_space β] {f : α → β}
/-- An isometry from an emetric space is injective -/
protected lemma injective (h : isometry f) : injective f := h.antilipschitz.injective
/-- An isometry from an emetric space is a uniform embedding -/
protected theorem uniform_embedding (hf : isometry f) : uniform_embedding f :=
hf.antilipschitz.uniform_embedding hf.lipschitz.uniform_continuous
/-- An isometry from an emetric space is an embedding -/
protected theorem embedding (hf : isometry f) : embedding f :=
hf.uniform_embedding.embedding
/-- An isometry from a complete emetric space is a closed embedding -/
theorem closed_embedding [complete_space α] [emetric_space γ]
{f : α → γ} (hf : isometry f) : closed_embedding f :=
hf.antilipschitz.closed_embedding hf.lipschitz.uniform_continuous
end emetric_isometry --section
section pseudo_metric_isometry
variables [pseudo_metric_space α] [pseudo_metric_space β] {f : α → β}
/-- An isometry preserves the diameter in pseudometric spaces. -/
lemma diam_image (hf : isometry f) (s : set α) : metric.diam (f '' s) = metric.diam s :=
by rw [metric.diam, metric.diam, hf.ediam_image]
lemma diam_range (hf : isometry f) : metric.diam (range f) = metric.diam (univ : set α) :=
by { rw ← image_univ, exact hf.diam_image univ }
lemma preimage_set_of_dist (hf : isometry f) (x : α) (p : ℝ → Prop) :
f ⁻¹' {y | p (dist y (f x))} = {y | p (dist y x)} :=
by { ext y, simp [hf.dist_eq] }
lemma preimage_closed_ball (hf : isometry f) (x : α) (r : ℝ) :
f ⁻¹' (metric.closed_ball (f x) r) = metric.closed_ball x r :=
hf.preimage_set_of_dist x (≤ r)
lemma preimage_ball (hf : isometry f) (x : α) (r : ℝ) :
f ⁻¹' (metric.ball (f x) r) = metric.ball x r :=
hf.preimage_set_of_dist x (< r)
lemma preimage_sphere (hf : isometry f) (x : α) (r : ℝ) :
f ⁻¹' (metric.sphere (f x) r) = metric.sphere x r :=
hf.preimage_set_of_dist x (= r)
lemma maps_to_ball (hf : isometry f) (x : α) (r : ℝ) :
maps_to f (metric.ball x r) (metric.ball (f x) r) :=
(hf.preimage_ball x r).ge
lemma maps_to_sphere (hf : isometry f) (x : α) (r : ℝ) :
maps_to f (metric.sphere x r) (metric.sphere (f x) r) :=
(hf.preimage_sphere x r).ge
lemma maps_to_closed_ball (hf : isometry f) (x : α) (r : ℝ) :
maps_to f (metric.closed_ball x r) (metric.closed_ball (f x) r) :=
(hf.preimage_closed_ball x r).ge
end pseudo_metric_isometry -- section
end isometry -- namespace
/-- A uniform embedding from a uniform space to a metric space is an isometry with respect to the
induced metric space structure on the source space. -/
lemma uniform_embedding.to_isometry {α β} [uniform_space α] [metric_space β] {f : α → β}
(h : uniform_embedding f) :
@isometry α β
(@pseudo_metric_space.to_pseudo_emetric_space α
(@metric_space.to_pseudo_metric_space α (h.comap_metric_space f)))
(by apply_instance) f :=
begin
apply isometry.of_dist_eq,
assume x y,
refl
end
/-- An embedding from a topological space to a metric space is an isometry with respect to the
induced metric space structure on the source space. -/
lemma embedding.to_isometry {α β} [topological_space α] [metric_space β] {f : α → β}
(h : embedding f) :
@isometry α β
(@pseudo_metric_space.to_pseudo_emetric_space α
(@metric_space.to_pseudo_metric_space α (h.comap_metric_space f)))
(by apply_instance) f :=
begin
apply isometry.of_dist_eq,
assume x y,
refl
end
/-- `α` and `β` are isometric if there is an isometric bijection between them. -/
@[nolint has_nonempty_instance] -- such a bijection need not exist
structure isometry_equiv (α β : Type*) [pseudo_emetric_space α] [pseudo_emetric_space β]
extends α ≃ β :=
(isometry_to_fun : isometry to_fun)
infix ` ≃ᵢ `:25 := isometry_equiv
namespace isometry_equiv
section pseudo_emetric_space
variables [pseudo_emetric_space α] [pseudo_emetric_space β] [pseudo_emetric_space γ]
instance : has_coe_to_fun (α ≃ᵢ β) (λ _, α → β) := ⟨λe, e.to_equiv⟩
lemma coe_eq_to_equiv (h : α ≃ᵢ β) (a : α) : h a = h.to_equiv a := rfl
@[simp] lemma coe_to_equiv (h : α ≃ᵢ β) : ⇑h.to_equiv = h := rfl
protected lemma isometry (h : α ≃ᵢ β) : isometry h := h.isometry_to_fun
protected lemma bijective (h : α ≃ᵢ β) : bijective h := h.to_equiv.bijective
protected lemma injective (h : α ≃ᵢ β) : injective h := h.to_equiv.injective
protected lemma surjective (h : α ≃ᵢ β) : surjective h := h.to_equiv.surjective
protected lemma edist_eq (h : α ≃ᵢ β) (x y : α) : edist (h x) (h y) = edist x y :=
h.isometry.edist_eq x y
protected lemma dist_eq {α β : Type*} [pseudo_metric_space α] [pseudo_metric_space β] (h : α ≃ᵢ β)
(x y : α) : dist (h x) (h y) = dist x y :=
h.isometry.dist_eq x y
protected lemma nndist_eq {α β : Type*} [pseudo_metric_space α] [pseudo_metric_space β] (h : α ≃ᵢ β)
(x y : α) : nndist (h x) (h y) = nndist x y :=
h.isometry.nndist_eq x y
protected lemma continuous (h : α ≃ᵢ β) : continuous h := h.isometry.continuous
@[simp] lemma ediam_image (h : α ≃ᵢ β) (s : set α) : emetric.diam (h '' s) = emetric.diam s :=
h.isometry.ediam_image s
lemma to_equiv_inj : ∀ ⦃h₁ h₂ : α ≃ᵢ β⦄, (h₁.to_equiv = h₂.to_equiv) → h₁ = h₂
| ⟨e₁, h₁⟩ ⟨e₂, h₂⟩ H := by { dsimp at H, subst e₁ }
@[ext] lemma ext ⦃h₁ h₂ : α ≃ᵢ β⦄ (H : ∀ x, h₁ x = h₂ x) : h₁ = h₂ :=
to_equiv_inj $ equiv.ext H
/-- Alternative constructor for isometric bijections,
taking as input an isometry, and a right inverse. -/
def mk' {α : Type u} [emetric_space α] (f : α → β) (g : β → α) (hfg : ∀ x, f (g x) = x)
(hf : isometry f) : α ≃ᵢ β :=
{ to_fun := f,
inv_fun := g,
left_inv := λ x, hf.injective $ hfg _,
right_inv := hfg,
isometry_to_fun := hf }
/-- The identity isometry of a space. -/
protected def refl (α : Type*) [pseudo_emetric_space α] : α ≃ᵢ α :=
{ isometry_to_fun := isometry_id, .. equiv.refl α }
/-- The composition of two isometric isomorphisms, as an isometric isomorphism. -/
protected def trans (h₁ : α ≃ᵢ β) (h₂ : β ≃ᵢ γ) : α ≃ᵢ γ :=
{ isometry_to_fun := h₂.isometry_to_fun.comp h₁.isometry_to_fun,
.. equiv.trans h₁.to_equiv h₂.to_equiv }
@[simp] lemma trans_apply (h₁ : α ≃ᵢ β) (h₂ : β ≃ᵢ γ) (x : α) : h₁.trans h₂ x = h₂ (h₁ x) := rfl
/-- The inverse of an isometric isomorphism, as an isometric isomorphism. -/
protected def symm (h : α ≃ᵢ β) : β ≃ᵢ α :=
{ isometry_to_fun := h.isometry.right_inv h.right_inv,
to_equiv := h.to_equiv.symm }
/-- 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 (h : α ≃ᵢ β) : α → β := h
/-- See Note [custom simps projection] -/
def simps.symm_apply (h : α ≃ᵢ β) : β → α := h.symm
initialize_simps_projections isometry_equiv
(to_equiv_to_fun → apply, to_equiv_inv_fun → symm_apply)
@[simp] lemma symm_symm (h : α ≃ᵢ β) : h.symm.symm = h := to_equiv_inj h.to_equiv.symm_symm
@[simp] lemma apply_symm_apply (h : α ≃ᵢ β) (y : β) : h (h.symm y) = y :=
h.to_equiv.apply_symm_apply y
@[simp] lemma symm_apply_apply (h : α ≃ᵢ β) (x : α) : h.symm (h x) = x :=
h.to_equiv.symm_apply_apply x
lemma symm_apply_eq (h : α ≃ᵢ β) {x : α} {y : β} :
h.symm y = x ↔ y = h x :=
h.to_equiv.symm_apply_eq
lemma eq_symm_apply (h : α ≃ᵢ β) {x : α} {y : β} :
x = h.symm y ↔ h x = y :=
h.to_equiv.eq_symm_apply
lemma symm_comp_self (h : α ≃ᵢ β) : ⇑h.symm ∘ ⇑h = id :=
funext $ assume a, h.to_equiv.left_inv a
lemma self_comp_symm (h : α ≃ᵢ β) : ⇑h ∘ ⇑h.symm = id :=
funext $ assume a, h.to_equiv.right_inv a
@[simp] lemma range_eq_univ (h : α ≃ᵢ β) : range h = univ :=
h.to_equiv.range_eq_univ
lemma image_symm (h : α ≃ᵢ β) : image h.symm = preimage h :=
image_eq_preimage_of_inverse h.symm.to_equiv.left_inv h.symm.to_equiv.right_inv
lemma preimage_symm (h : α ≃ᵢ β) : preimage h.symm = image h :=
(image_eq_preimage_of_inverse h.to_equiv.left_inv h.to_equiv.right_inv).symm
@[simp] lemma symm_trans_apply (h₁ : α ≃ᵢ β) (h₂ : β ≃ᵢ γ) (x : γ) :
(h₁.trans h₂).symm x = h₁.symm (h₂.symm x) := rfl
lemma ediam_univ (h : α ≃ᵢ β) : emetric.diam (univ : set α) = emetric.diam (univ : set β) :=
by rw [← h.range_eq_univ, h.isometry.ediam_range]
@[simp] lemma ediam_preimage (h : α ≃ᵢ β) (s : set β) : emetric.diam (h ⁻¹' s) = emetric.diam s :=
by rw [← image_symm, ediam_image]
@[simp] lemma preimage_emetric_ball (h : α ≃ᵢ β) (x : β) (r : ℝ≥0∞) :
h ⁻¹' (emetric.ball x r) = emetric.ball (h.symm x) r :=
by rw [← h.isometry.preimage_emetric_ball (h.symm x) r, h.apply_symm_apply]
@[simp] lemma preimage_emetric_closed_ball (h : α ≃ᵢ β) (x : β) (r : ℝ≥0∞) :
h ⁻¹' (emetric.closed_ball x r) = emetric.closed_ball (h.symm x) r :=
by rw [← h.isometry.preimage_emetric_closed_ball (h.symm x) r, h.apply_symm_apply]
@[simp] lemma image_emetric_ball (h : α ≃ᵢ β) (x : α) (r : ℝ≥0∞) :
h '' (emetric.ball x r) = emetric.ball (h x) r :=
by rw [← h.preimage_symm, h.symm.preimage_emetric_ball, symm_symm]
@[simp] lemma image_emetric_closed_ball (h : α ≃ᵢ β) (x : α) (r : ℝ≥0∞) :
h '' (emetric.closed_ball x r) = emetric.closed_ball (h x) r :=
by rw [← h.preimage_symm, h.symm.preimage_emetric_closed_ball, symm_symm]
/-- The (bundled) homeomorphism associated to an isometric isomorphism. -/
@[simps to_equiv] protected def to_homeomorph (h : α ≃ᵢ β) : α ≃ₜ β :=
{ continuous_to_fun := h.continuous,
continuous_inv_fun := h.symm.continuous,
to_equiv := h.to_equiv }
@[simp] lemma coe_to_homeomorph (h : α ≃ᵢ β) : ⇑(h.to_homeomorph) = h := rfl
@[simp] lemma coe_to_homeomorph_symm (h : α ≃ᵢ β) : ⇑(h.to_homeomorph.symm) = h.symm := rfl
@[simp] lemma comp_continuous_on_iff {γ} [topological_space γ] (h : α ≃ᵢ β)
{f : γ → α} {s : set γ} :
continuous_on (h ∘ f) s ↔ continuous_on f s :=
h.to_homeomorph.comp_continuous_on_iff _ _
@[simp] lemma comp_continuous_iff {γ} [topological_space γ] (h : α ≃ᵢ β) {f : γ → α} :
continuous (h ∘ f) ↔ continuous f :=
h.to_homeomorph.comp_continuous_iff
@[simp] lemma comp_continuous_iff' {γ} [topological_space γ] (h : α ≃ᵢ β) {f : β → γ} :
continuous (f ∘ h) ↔ continuous f :=
h.to_homeomorph.comp_continuous_iff'
/-- The group of isometries. -/
instance : group (α ≃ᵢ α) :=
{ one := isometry_equiv.refl _,
mul := λ e₁ e₂, e₂.trans e₁,
inv := isometry_equiv.symm,
mul_assoc := λ e₁ e₂ e₃, rfl,
one_mul := λ e, ext $ λ _, rfl,
mul_one := λ e, ext $ λ _, rfl,
mul_left_inv := λ e, ext e.symm_apply_apply }
@[simp] lemma coe_one : ⇑(1 : α ≃ᵢ α) = id := rfl
@[simp] lemma coe_mul (e₁ e₂ : α ≃ᵢ α) : ⇑(e₁ * e₂) = e₁ ∘ e₂ := rfl
lemma mul_apply (e₁ e₂ : α ≃ᵢ α) (x : α) : (e₁ * e₂) x = e₁ (e₂ x) := rfl
@[simp] lemma inv_apply_self (e : α ≃ᵢ α) (x: α) : e⁻¹ (e x) = x := e.symm_apply_apply x
@[simp] lemma apply_inv_self (e : α ≃ᵢ α) (x: α) : e (e⁻¹ x) = x := e.apply_symm_apply x
protected lemma complete_space [complete_space β] (e : α ≃ᵢ β) : complete_space α :=
complete_space_of_is_complete_univ $ is_complete_of_complete_image e.isometry.uniform_inducing $
by rwa [set.image_univ, isometry_equiv.range_eq_univ, ← complete_space_iff_is_complete_univ]
lemma complete_space_iff (e : α ≃ᵢ β) : complete_space α ↔ complete_space β :=
by { split; introI H, exacts [e.symm.complete_space, e.complete_space] }
variables (ι α)
/-- `equiv.fun_unique` as an `isometry_equiv`. -/
@[simps]
def fun_unique [unique ι] [fintype ι] : (ι → α) ≃ᵢ α :=
{ to_equiv := equiv.fun_unique ι α,
isometry_to_fun := λ x hx, by simp [edist_pi_def, finset.univ_unique, finset.sup_singleton] }
/-- `pi_fin_two_equiv` as an `isometry_equiv`. -/
@[simps]
def pi_fin_two (α : fin 2 → Type*) [Π i, pseudo_emetric_space (α i)] :
(Π i, α i) ≃ᵢ α 0 × α 1 :=
{ to_equiv := pi_fin_two_equiv α,
isometry_to_fun := λ x hx, by simp [edist_pi_def, fin.univ_succ, prod.edist_eq] }
end pseudo_emetric_space
section pseudo_metric_space
variables [pseudo_metric_space α] [pseudo_metric_space β] (h : α ≃ᵢ β)
@[simp] lemma diam_image (s : set α) : metric.diam (h '' s) = metric.diam s :=
h.isometry.diam_image s
@[simp] lemma diam_preimage (s : set β) : metric.diam (h ⁻¹' s) = metric.diam s :=
by rw [← image_symm, diam_image]
lemma diam_univ : metric.diam (univ : set α) = metric.diam (univ : set β) :=
congr_arg ennreal.to_real h.ediam_univ
@[simp] lemma preimage_ball (h : α ≃ᵢ β) (x : β) (r : ℝ) :
h ⁻¹' (metric.ball x r) = metric.ball (h.symm x) r :=
by rw [← h.isometry.preimage_ball (h.symm x) r, h.apply_symm_apply]
@[simp] lemma preimage_sphere (h : α ≃ᵢ β) (x : β) (r : ℝ) :
h ⁻¹' (metric.sphere x r) = metric.sphere (h.symm x) r :=
by rw [← h.isometry.preimage_sphere (h.symm x) r, h.apply_symm_apply]
@[simp] lemma preimage_closed_ball (h : α ≃ᵢ β) (x : β) (r : ℝ) :
h ⁻¹' (metric.closed_ball x r) = metric.closed_ball (h.symm x) r :=
by rw [← h.isometry.preimage_closed_ball (h.symm x) r, h.apply_symm_apply]
@[simp] lemma image_ball (h : α ≃ᵢ β) (x : α) (r : ℝ) :
h '' (metric.ball x r) = metric.ball (h x) r :=
by rw [← h.preimage_symm, h.symm.preimage_ball, symm_symm]
@[simp] lemma image_sphere (h : α ≃ᵢ β) (x : α) (r : ℝ) :
h '' (metric.sphere x r) = metric.sphere (h x) r :=
by rw [← h.preimage_symm, h.symm.preimage_sphere, symm_symm]
@[simp] lemma image_closed_ball (h : α ≃ᵢ β) (x : α) (r : ℝ) :
h '' (metric.closed_ball x r) = metric.closed_ball (h x) r :=
by rw [← h.preimage_symm, h.symm.preimage_closed_ball, symm_symm]
end pseudo_metric_space
end isometry_equiv
/-- An isometry induces an isometric isomorphism between the source space and the
range of the isometry. -/
@[simps to_equiv apply { simp_rhs := tt }]
def isometry.isometry_equiv_on_range [emetric_space α] [pseudo_emetric_space β] {f : α → β}
(h : isometry f) : α ≃ᵢ range f :=
{ isometry_to_fun := λx y, by simpa [subtype.edist_eq] using h x y,
to_equiv := equiv.of_injective f h.injective }
|
01a4a4a075b93510cf2990abe50886483ebb1920 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/logic/encodable/lattice.lean | 08591a50afbb4c28b6b46784ac37b5cb8fbf670b | [
"Apache-2.0"
] | permissive | jcommelin/mathlib | d8456447c36c176e14d96d9e76f39841f69d2d9b | ee8279351a2e434c2852345c51b728d22af5a156 | refs/heads/master | 1,664,782,136,488 | 1,663,638,983,000 | 1,663,638,983,000 | 132,563,656 | 0 | 0 | Apache-2.0 | 1,663,599,929,000 | 1,525,760,539,000 | Lean | UTF-8 | Lean | false | false | 1,576 | lean | /-
Copyright (c) 2020 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import data.finset.basic
import data.set.pairwise
import logic.encodable.basic
/-!
# Lattice operations on encodable types
Lemmas about lattice and set operations on encodable types
## Implementation Notes
This is a separate file, to avoid unnecessary imports in basic files.
Previously some of these results were in the `measure_theory` folder.
-/
open set
namespace encodable
variables {α : Type*} {β : Type*} [encodable β]
lemma supr_decode₂ [complete_lattice α] (f : β → α) :
(⨆ (i : ℕ) (b ∈ decode₂ β i), f b) = (⨆ b, f b) :=
by { rw [supr_comm], simp [mem_decode₂] }
lemma Union_decode₂ (f : β → set α) : (⋃ (i : ℕ) (b ∈ decode₂ β i), f b) = (⋃ b, f b) :=
supr_decode₂ f
@[elab_as_eliminator] lemma Union_decode₂_cases
{f : β → set α} {C : set α → Prop}
(H0 : C ∅) (H1 : ∀ b, C (f b)) {n} :
C (⋃ b ∈ decode₂ β n, f b) :=
match decode₂ β n with
| none := by { simp, apply H0 }
| (some b) := by { convert H1 b, simp [ext_iff] }
end
theorem Union_decode₂_disjoint_on {f : β → set α} (hd : pairwise (disjoint on f)) :
pairwise (disjoint on λ i, ⋃ b ∈ decode₂ β i, f b) :=
begin
rintro i j ij x,
suffices : ∀ a, encode a = i → x ∈ f a → ∀ b, encode b = j → x ∉ f b, by simpa [decode₂_eq_some],
rintro a rfl ha b rfl hb,
exact hd a b (mt (congr_arg encode) ij) ⟨ha, hb⟩
end
end encodable
|
6ac054aaf328e8a8734fdcfdf5d69f0e4c53f19f | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/ring_theory/derivation_auto.lean | 0e3ce5c3b0d43d903f8ec01210f8a9830a4fb881 | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 12,416 | lean | /-
Copyright © 2020 Nicolò Cavalleri. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Nicolò Cavalleri.
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.algebra.lie.basic
import Mathlib.ring_theory.algebra_tower
import Mathlib.PostPort
universes u_1 u_2 u_3 l u_4
namespace Mathlib
/-!
# Derivations
This file defines derivation. A derivation `D` from the `R`-algebra `A` to the `A`-module `M` is an
`R`-linear map that satisfy the Leibniz rule `D (a * b) = a * D b + D a * b`.
## Notation
The notation `⁅D1, D2⁆` is used for the commutator of two derivations.
TODO: this file is just a stub to go on with some PRs in the geometry section. It only
implements the definition of derivations in commutative algebra. This will soon change: as soon
as bimodules will be there in mathlib I will change this file to take into account the
non-commutative case. Any development on the theory of derivations is discouraged until the
definitive definition of derivation will be implemented.
-/
/-- `D : derivation R A M` is an `R`-linear map from `A` to `M` that satisfies the `leibniz`
equality.
TODO: update this when bimodules are defined. -/
structure derivation (R : Type u_1) (A : Type u_2) [comm_semiring R] [comm_semiring A] [algebra R A]
(M : Type u_3) [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M]
extends linear_map R A M where
leibniz' :
∀ (a b : A),
linear_map.to_fun _to_linear_map (a * b) =
a • linear_map.to_fun _to_linear_map b + b • linear_map.to_fun _to_linear_map a
namespace derivation
protected instance has_coe_to_fun {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] : has_coe_to_fun (derivation R A M) :=
has_coe_to_fun.mk (fun (D : derivation R A M) => A → M)
fun (D : derivation R A M) => linear_map.to_fun (derivation.to_linear_map D)
protected instance has_coe_to_linear_map {R : Type u_1} [comm_semiring R] {A : Type u_2}
[comm_semiring A] [algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M]
[semimodule R M] [is_scalar_tower R A M] : has_coe (derivation R A M) (linear_map R A M) :=
has_coe.mk fun (D : derivation R A M) => derivation.to_linear_map D
@[simp] theorem to_fun_eq_coe {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] (D : derivation R A M) :
linear_map.to_fun (derivation.to_linear_map D) = ⇑D :=
rfl
@[simp] theorem coe_fn_coe {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] (f : derivation R A M) : ⇑↑f = ⇑f :=
rfl
theorem coe_injective {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] {D1 : derivation R A M} {D2 : derivation R A M} (H : ⇑D1 = ⇑D2) :
D1 = D2 :=
sorry
theorem ext {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A] [algebra R A]
{M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] {D1 : derivation R A M} {D2 : derivation R A M}
(H : ∀ (a : A), coe_fn D1 a = coe_fn D2 a) : D1 = D2 :=
coe_injective (funext H)
@[simp] theorem map_add {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] (D : derivation R A M) (a : A) (b : A) :
coe_fn D (a + b) = coe_fn D a + coe_fn D b :=
is_add_hom.map_add (⇑D) a b
@[simp] theorem map_zero {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] (D : derivation R A M) : coe_fn D 0 = 0 :=
is_add_monoid_hom.map_zero ⇑D
@[simp] theorem map_smul {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] (D : derivation R A M) (r : R) (a : A) :
coe_fn D (r • a) = r • coe_fn D a :=
linear_map.map_smul (↑D) r a
@[simp] theorem leibniz {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] (D : derivation R A M) (a : A) (b : A) :
coe_fn D (a * b) = a • coe_fn D b + b • coe_fn D a :=
derivation.leibniz' D a b
@[simp] theorem map_one_eq_zero {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] (D : derivation R A M) : coe_fn D 1 = 0 :=
sorry
@[simp] theorem map_algebra_map {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] (D : derivation R A M) (r : R) :
coe_fn D (coe_fn (algebra_map R A) r) = 0 :=
sorry
protected instance has_zero {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] : HasZero (derivation R A M) :=
{ zero := mk 0 sorry }
protected instance inhabited {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] : Inhabited (derivation R A M) :=
{ default := 0 }
protected instance add_comm_monoid {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] : add_comm_monoid (derivation R A M) :=
add_comm_monoid.mk (fun (D1 D2 : derivation R A M) => mk (↑D1 + ↑D2) sorry) sorry 0 sorry sorry
sorry
@[simp] theorem add_apply {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] {D1 : derivation R A M} {D2 : derivation R A M} (a : A) :
coe_fn (D1 + D2) a = coe_fn D1 a + coe_fn D2 a :=
rfl
protected instance derivation.Rsemimodule {R : Type u_1} [comm_semiring R] {A : Type u_2}
[comm_semiring A] [algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M]
[semimodule R M] [is_scalar_tower R A M] : semimodule R (derivation R A M) :=
semimodule.mk sorry sorry
@[simp] theorem smul_to_linear_map_coe {R : Type u_1} [comm_semiring R] {A : Type u_2}
[comm_semiring A] [algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M]
[semimodule R M] [is_scalar_tower R A M] (D : derivation R A M) (r : R) : ↑(r • D) = r • ↑D :=
rfl
@[simp] theorem Rsmul_apply {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] (D : derivation R A M) (r : R) (a : A) :
coe_fn (r • D) a = r • coe_fn D a :=
rfl
protected instance semimodule {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] : semimodule A (derivation R A M) :=
semimodule.mk sorry sorry
@[simp] theorem smul_apply {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] (D : derivation R A M) (a : A) (b : A) :
coe_fn (a • D) b = a • coe_fn D b :=
rfl
protected instance is_scalar_tower {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
[is_scalar_tower R A M] : is_scalar_tower R A (derivation R A M) :=
is_scalar_tower.mk
fun (x : R) (y : A) (z : derivation R A M) => ext fun (a : A) => smul_assoc x y (coe_fn (↑z) a)
@[simp] theorem map_neg {R : Type u_1} [comm_ring R] {A : Type u_2} [comm_ring A] [algebra R A]
{M : Type u_3} [add_comm_group M] [module A M] [module R M] [is_scalar_tower R A M]
(D : derivation R A M) (a : A) : coe_fn D (-a) = -coe_fn D a :=
linear_map.map_neg (↑D) a
@[simp] theorem map_sub {R : Type u_1} [comm_ring R] {A : Type u_2} [comm_ring A] [algebra R A]
{M : Type u_3} [add_comm_group M] [module A M] [module R M] [is_scalar_tower R A M]
(D : derivation R A M) (a : A) (b : A) : coe_fn D (a - b) = coe_fn D a - coe_fn D b :=
linear_map.map_sub (↑D) a b
protected instance add_comm_group {R : Type u_1} [comm_ring R] {A : Type u_2} [comm_ring A]
[algebra R A] {M : Type u_3} [add_comm_group M] [module A M] [module R M]
[is_scalar_tower R A M] : add_comm_group (derivation R A M) :=
add_comm_group.mk add_comm_monoid.add sorry add_comm_monoid.zero sorry sorry
(fun (D : derivation R A M) => mk (-↑D) sorry)
(fun (D1 D2 : derivation R A M) => mk (↑D1 - ↑D2) sorry) sorry sorry
@[simp] theorem sub_apply {R : Type u_1} [comm_ring R] {A : Type u_2} [comm_ring A] [algebra R A]
{M : Type u_3} [add_comm_group M] [module A M] [module R M] [is_scalar_tower R A M]
{D1 : derivation R A M} {D2 : derivation R A M} (a : A) :
coe_fn (D1 - D2) a = coe_fn D1 a - coe_fn D2 a :=
rfl
/-! # Lie structures -/
/-- The commutator of derivations is again a derivation. -/
def commutator {R : Type u_1} [comm_ring R] {A : Type u_2} [comm_ring A] [algebra R A]
(D1 : derivation R A A) (D2 : derivation R A A) : derivation R A A :=
mk (linear_map.mk (linear_map.to_fun (has_bracket.bracket ↑D1 ↑D2)) sorry sorry) sorry
protected instance has_bracket {R : Type u_1} [comm_ring R] {A : Type u_2} [comm_ring A]
[algebra R A] : has_bracket (derivation R A A) (derivation R A A) :=
has_bracket.mk commutator
@[simp] theorem commutator_coe_linear_map {R : Type u_1} [comm_ring R] {A : Type u_2} [comm_ring A]
[algebra R A] {D1 : derivation R A A} {D2 : derivation R A A} :
↑(has_bracket.bracket D1 D2) = has_bracket.bracket ↑D1 ↑D2 :=
rfl
theorem commutator_apply {R : Type u_1} [comm_ring R] {A : Type u_2} [comm_ring A] [algebra R A]
{D1 : derivation R A A} {D2 : derivation R A A} (a : A) :
coe_fn (has_bracket.bracket D1 D2) a = coe_fn D1 (coe_fn D2 a) - coe_fn D2 (coe_fn D1 a) :=
rfl
protected instance lie_ring {R : Type u_1} [comm_ring R] {A : Type u_2} [comm_ring A]
[algebra R A] : lie_ring (derivation R A A) :=
lie_ring.mk sorry sorry sorry sorry
protected instance lie_algebra {R : Type u_1} [comm_ring R] {A : Type u_2} [comm_ring A]
[algebra R A] : lie_algebra R (derivation R A A) :=
lie_algebra.mk sorry
end derivation
namespace linear_map
/-- The composition of a linear map and a derivation is a derivation. -/
def comp_der {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A] [algebra R A]
{M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M] {N : Type u_4}
[add_cancel_comm_monoid N] [semimodule A N] [semimodule R N] [is_scalar_tower R A M]
[is_scalar_tower R A N] (f : linear_map A M N) (D : derivation R A M) : derivation R A N :=
derivation.mk (mk (fun (a : A) => coe_fn f (coe_fn D a)) sorry sorry) sorry
@[simp] theorem comp_der_apply {R : Type u_1} [comm_semiring R] {A : Type u_2} [comm_semiring A]
[algebra R A] {M : Type u_3} [add_cancel_comm_monoid M] [semimodule A M] [semimodule R M]
{N : Type u_4} [add_cancel_comm_monoid N] [semimodule A N] [semimodule R N]
[is_scalar_tower R A M] [is_scalar_tower R A N] (f : linear_map A M N) (D : derivation R A M)
(a : A) : coe_fn (comp_der f D) a = coe_fn f (coe_fn D a) :=
rfl
end Mathlib |
ea88eb39cfb1d59225ced34ccddf658a6e7ba9df | bdb33f8b7ea65f7705fc342a178508e2722eb851 | /data/set/enumerate.lean | 6a20ca7043910fb186c158f71fb04289f61fd3f8 | [
"Apache-2.0"
] | permissive | rwbarton/mathlib | 939ae09bf8d6eb1331fc2f7e067d39567e10e33d | c13c5ea701bb1eec057e0a242d9f480a079105e9 | refs/heads/master | 1,584,015,335,862 | 1,524,142,167,000 | 1,524,142,167,000 | 130,614,171 | 0 | 0 | Apache-2.0 | 1,548,902,667,000 | 1,524,437,371,000 | Lean | UTF-8 | Lean | false | false | 2,750 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Johannes Hölzl
Enumerate elements of a set with a select function.
-/
import data.encodable data.set.finite data.set.lattice logic.function
noncomputable theory
open function set encodable
namespace set
section enumerate
parameters {α : Type*} (sel : set α → option α)
def enumerate : set α → ℕ → option α
| s 0 := sel s
| s (n + 1) := do a ← sel s, enumerate (s - {a}) n
lemma enumerate_eq_none_of_sel {s : set α} (h : sel s = none) : ∀{n}, enumerate s n = none
| 0 := by simp [h, enumerate]; refl
| (n + 1) := by simp [h, enumerate]; refl
lemma enumerate_eq_none : ∀{s n₁ n₂}, enumerate s n₁ = none → n₁ ≤ n₂ → enumerate s n₂ = none
| s 0 m := assume : sel s = none, by simp [enumerate_eq_none_of_sel, this]
| s (n + 1) m := assume h hm,
begin
cases hs : sel s,
{ by simp [enumerate_eq_none_of_sel, hs] },
{ cases m,
case nat.zero {
have : n + 1 = 0, from nat.eq_zero_of_le_zero hm,
contradiction },
case nat.succ : m' {
simp [hs, enumerate] at h ⊢,
have hm : n ≤ m', from nat.le_of_succ_le_succ hm,
exact enumerate_eq_none h hm } }
end
lemma enumerate_mem (h_sel : ∀s a, sel s = some a → a ∈ s) :
∀{s n a}, enumerate s n = some a → a ∈ s
| s 0 a := h_sel s a
| s (n+1) a :=
begin
cases h : sel s,
case none { simp [enumerate_eq_none_of_sel, h] },
case some : a' {
simp [enumerate, h],
exact assume h' : enumerate _ (s - {a'}) n = some a,
have a ∈ s - {a'}, from enumerate_mem h',
this.left }
end
lemma enumerate_inj {n₁ n₂ : ℕ} {a : α} {s : set α} (h_sel : ∀s a, sel s = some a → a ∈ s) :
enumerate s n₁ = some a → enumerate s n₂ = some a → n₁ = n₂ :=
have ∀{n m s}, enumerate s n = some a → enumerate s (n + m) = some a → m = 0,
begin
intros n m, induction n,
case nat.zero {
cases m,
case nat.zero { simp [enumerate] },
case nat.succ : m {
simp [enumerate] {contextual := tt},
exact assume s _ h,
have a ∈ s \ {a}, from enumerate_mem _ h_sel h,
by simpa } },
case nat.succ : n ih {
intro s,
cases h : sel s,
case none { simp [enumerate, h] },
case some : a' {
simp [enumerate, h, nat.add_succ] {contextual := tt},
simpa using ih } }
end,
match le_total n₁ n₂ with
| or.inl h := let ⟨m, hm⟩ := nat.le.dest h in hm ▸ assume h₁ h₂, by simp [this h₁ h₂]
| or.inr h := let ⟨m, hm⟩ := nat.le.dest h in hm ▸ assume h₁ h₂, by simp [this h₂ h₁]
end
end enumerate
end set
|
bdad055f6c0a6c05491cb1f2c92c690889c4b833 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /archive/wiedijk_100_theorems/cubing_a_cube.lean | f26ce9402eb3dfbbf709fc95775c5198a4a1e2a1 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 23,123 | lean | /-
Copyright (c) 2019 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import data.real.basic
import data.set.finite
import data.set.intervals.disjoint
/-!
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
Proof that a cube (in dimension n ≥ 3) cannot be cubed:
There does not exist a partition of a cube into finitely many smaller cubes (at least two)
of different sizes.
We follow the proof described here:
http://www.alaricstephen.com/main-featured/2017/9/28/cubing-a-cube-proof
-/
open real set function fin
namespace theorems_100
noncomputable theory
namespace «82»
variable {n : ℕ}
/-- Given three intervals `I, J, K` such that `J ⊂ I`,
neither endpoint of `J` coincides with an endpoint of `I`, `¬ (K ⊆ J)` and
`K` does not lie completely to the left nor completely to the right of `J`.
Then `I ∩ K \ J` is nonempty. -/
lemma Ico_lemma {α} [linear_order α] {x₁ x₂ y₁ y₂ z₁ z₂ w : α}
(h₁ : x₁ < y₁) (hy : y₁ < y₂) (h₂ : y₂ < x₂)
(hz₁ : z₁ ≤ y₂) (hz₂ : y₁ ≤ z₂) (hw : w ∉ Ico y₁ y₂ ∧ w ∈ Ico z₁ z₂) :
∃w, w ∈ Ico x₁ x₂ ∧ w ∉ Ico y₁ y₂ ∧ w ∈ Ico z₁ z₂ :=
begin
simp only [not_and, not_lt, mem_Ico] at hw,
refine ⟨max x₁ (min w y₂), _, _, _⟩,
{ simp [le_refl, lt_trans h₁ (lt_trans hy h₂), h₂] },
{ simp [hw, lt_irrefl, not_le_of_lt h₁] {contextual := tt} },
{ simp [hw.2.1, hw.2.2, hz₁, lt_of_lt_of_le h₁ hz₂] at ⊢ }
end
/-- A (hyper)-cube (in standard orientation) is a vector `b` consisting of the bottom-left point
of the cube, a width `w` and a proof that `w > 0`. We use functions from `fin n` to denote vectors.
-/
structure cube (n : ℕ) : Type :=
(b : fin n → ℝ) -- bottom-left coordinate
(w : ℝ) -- width
(hw : 0 < w)
namespace cube
lemma hw' (c : cube n) : 0 ≤ c.w := le_of_lt c.hw
/-- The j-th side of a cube is the half-open interval `[b j, b j + w)` -/
def side (c : cube n) (j : fin n) : set ℝ :=
Ico (c.b j) (c.b j + c.w)
@[simp] lemma b_mem_side (c : cube n) (j : fin n) : c.b j ∈ c.side j :=
by simp [side, cube.hw, le_refl]
def to_set (c : cube n) : set (fin n → ℝ) :=
{ x | ∀j, x j ∈ side c j }
lemma side_nonempty (c : cube n) (i : fin n) : (side c i).nonempty := by simp [side, c.hw]
lemma univ_pi_side (c : cube n) : pi univ (side c) = c.to_set := ext $ λ x, mem_univ_pi
lemma to_set_subset {c c' : cube n} : c.to_set ⊆ c'.to_set ↔ ∀j, c.side j ⊆ c'.side j :=
by simp only [← univ_pi_side, univ_pi_subset_univ_pi_iff, (c.side_nonempty _).ne_empty,
exists_false, or_false]
lemma to_set_disjoint {c c' : cube n} : disjoint c.to_set c'.to_set ↔
∃ j, disjoint (c.side j) (c'.side j) :=
by simp only [← univ_pi_side, disjoint_univ_pi]
lemma b_mem_to_set (c : cube n) : c.b ∈ c.to_set :=
by simp [to_set]
protected def tail (c : cube (n+1)) : cube n :=
⟨tail c.b, c.w, c.hw⟩
lemma side_tail (c : cube (n+1)) (j : fin n) : c.tail.side j = c.side j.succ := rfl
def bottom (c : cube (n+1)) : set (fin (n+1) → ℝ) :=
{ x | x 0 = c.b 0 ∧ tail x ∈ c.tail.to_set }
lemma b_mem_bottom (c : cube (n+1)) : c.b ∈ c.bottom :=
by simp [bottom, to_set, side, cube.hw, le_refl, cube.tail]
def xm (c : cube (n+1)) : ℝ :=
c.b 0 + c.w
lemma b_lt_xm (c : cube (n+1)) : c.b 0 < c.xm := by simp [xm, hw]
lemma b_ne_xm (c : cube (n+1)) : c.b 0 ≠ c.xm := ne_of_lt c.b_lt_xm
def shift_up (c : cube (n+1)) : cube (n+1) :=
⟨cons c.xm $ tail c.b, c.w, c.hw⟩
@[simp] lemma tail_shift_up (c : cube (n+1)) : c.shift_up.tail = c.tail :=
by simp [shift_up, cube.tail]
@[simp] lemma head_shift_up (c : cube (n+1)) : c.shift_up.b 0 = c.xm := rfl
def unit_cube : cube n :=
⟨λ _, 0, 1, by norm_num⟩
@[simp] lemma side_unit_cube {j : fin n} : unit_cube.side j = Ico 0 1 :=
by norm_num [unit_cube, side]
end cube
open cube
variables {ι : Type} {cs : ι → cube (n+1)} {i i' : ι}
/-- A finite family of (at least 2) cubes partitioning the unit cube with different sizes -/
@[protect_proj] structure correct (cs : ι → cube n) : Prop :=
(pairwise_disjoint : pairwise (disjoint on (cube.to_set ∘ cs)))
(Union_eq : (⋃(i : ι), (cs i).to_set) = unit_cube.to_set)
(injective : injective (cube.w ∘ cs))
(three_le : 3 ≤ n)
namespace correct
variable (h : correct cs)
include h
lemma to_set_subset_unit_cube {i} : (cs i).to_set ⊆ unit_cube.to_set :=
h.Union_eq ▸ subset_Union _ i
lemma side_subset {i j} : (cs i).side j ⊆ Ico 0 1 :=
by simpa only [side_unit_cube] using to_set_subset.1 h.to_set_subset_unit_cube j
lemma zero_le_of_mem_side {i j x} (hx : x ∈ (cs i).side j) : 0 ≤ x :=
(side_subset h hx).1
lemma zero_le_of_mem {i p} (hp : p ∈ (cs i).to_set) (j) : 0 ≤ p j :=
zero_le_of_mem_side h (hp j)
lemma zero_le_b {i j} : 0 ≤ (cs i).b j :=
zero_le_of_mem h (cs i).b_mem_to_set j
lemma b_add_w_le_one {j} : (cs i).b j + (cs i).w ≤ 1 :=
by { have := side_subset h, rw [side, Ico_subset_Ico_iff] at this, convert this.2, simp [hw] }
lemma nontrivial_fin : nontrivial (fin n) :=
fin.nontrivial_iff_two_le.2 (nat.le_of_succ_le_succ h.three_le)
/-- The width of any cube in the partition cannot be 1. -/
lemma w_ne_one [nontrivial ι] (i : ι) : (cs i).w ≠ 1 :=
begin
intro hi,
cases exists_ne i with i' hi',
let p := (cs i').b,
have hp : p ∈ (cs i').to_set := (cs i').b_mem_to_set,
have h2p : p ∈ (cs i).to_set,
{ intro j, split,
transitivity (0 : ℝ),
{ rw [←add_le_add_iff_right (1 : ℝ)], convert b_add_w_le_one h, rw hi, rw zero_add },
apply zero_le_b h, apply lt_of_lt_of_le (side_subset h $ (cs i').b_mem_side j).2,
simp [hi, zero_le_b h] },
exact (h.pairwise_disjoint hi').le_bot ⟨hp, h2p⟩
end
/-- The top of a cube (which is the bottom of the cube shifted up by its width) must be covered by
bottoms of (other) cubes in the family. -/
lemma shift_up_bottom_subset_bottoms (hc : (cs i).xm ≠ 1) :
(cs i).shift_up.bottom ⊆ ⋃(i : ι), (cs i).bottom :=
begin
intros p hp, cases hp with hp0 hps, rw [tail_shift_up] at hps,
have : p ∈ (unit_cube : cube (n+1)).to_set,
{ simp only [to_set, forall_fin_succ, hp0, side_unit_cube, mem_set_of_eq, mem_Ico,
head_shift_up], refine ⟨⟨_, _⟩, _⟩,
{ rw [←zero_add (0 : ℝ)], apply add_le_add, apply zero_le_b h, apply (cs i).hw' },
{ exact lt_of_le_of_ne (b_add_w_le_one h) hc },
intro j, exact side_subset h (hps j) },
rw [← h.2, mem_Union] at this, rcases this with ⟨i', hi'⟩,
rw [mem_Union], use i', refine ⟨_, λ j, hi' j.succ⟩,
have : i ≠ i', { rintro rfl, apply not_le_of_lt (hi' 0).2, rw [hp0], refl },
have := h.1 this, rw [on_fun, to_set_disjoint, exists_fin_succ] at this,
rcases this with h0|⟨j, hj⟩,
rw [hp0], symmetry, apply eq_of_Ico_disjoint h0 (by simp [hw]) _,
convert hi' 0, rw [hp0], refl,
exfalso, apply not_disjoint_iff.mpr ⟨tail p j, hps j, hi' j.succ⟩ hj
end
end correct
/-- A valley is a square on which cubes in the family of cubes are placed, so that the cubes
completely cover the valley and none of those cubes is partially outside the square.
We also require that no cube on it has the same size as the valley (so that there are at least
two cubes on the valley).
This is the main concept in the formalization.
We prove that the smallest cube on a valley has another valley on the top of it, which
gives an infinite sequence of cubes in the partition, which contradicts the finiteness.
A valley is characterized by a cube `c` (which is not a cube in the family cs) by considering
the bottom face of `c`. -/
def valley (cs : ι → cube (n+1)) (c : cube (n+1)) : Prop :=
c.bottom ⊆ (⋃(i : ι), (cs i).bottom) ∧
(∀i, (cs i).b 0 = c.b 0 → (∃x, x ∈ (cs i).tail.to_set ∩ c.tail.to_set) →
(cs i).tail.to_set ⊆ c.tail.to_set) ∧
∀(i : ι), (cs i).b 0 = c.b 0 → (cs i).w ≠ c.w
variables {c : cube (n+1)} (h : correct cs) (v : valley cs c)
/-- The bottom of the unit cube is a valley -/
lemma valley_unit_cube [nontrivial ι] (h : correct cs) : valley cs unit_cube :=
begin
refine ⟨_, _, _⟩,
{ intro v,
simp only [bottom, and_imp, mem_Union, mem_set_of_eq],
intros h0 hv,
have : v ∈ (unit_cube : cube (n+1)).to_set,
{ dsimp only [to_set, unit_cube, mem_set_of_eq],
rw [forall_fin_succ, h0], split, norm_num [side, unit_cube], exact hv },
rw [← h.2, mem_Union] at this, rcases this with ⟨i, hi⟩,
use i,
split, { apply le_antisymm, rw h0, exact h.zero_le_b, exact (hi 0).1 },
intro j, exact hi _ },
{ intros i hi h', rw to_set_subset, intro j, convert h.side_subset using 1, simp [side_tail] },
{ intros i hi, exact h.w_ne_one i }
end
/-- the cubes which lie in the valley `c` -/
def bcubes (cs : ι → cube (n+1)) (c : cube (n+1)) : set ι :=
{ i : ι | (cs i).b 0 = c.b 0 ∧ (cs i).tail.to_set ⊆ c.tail.to_set }
/-- A cube which lies on the boundary of a valley in dimension `j` -/
def on_boundary (hi : i ∈ bcubes cs c) (j : fin n) : Prop :=
c.b j.succ = (cs i).b j.succ ∨ (cs i).b j.succ + (cs i).w = c.b j.succ + c.w
lemma tail_sub (hi : i ∈ bcubes cs c) : ∀j, (cs i).tail.side j ⊆ c.tail.side j :=
by { rw [←to_set_subset], exact hi.2 }
lemma bottom_mem_side (hi : i ∈ bcubes cs c) : c.b 0 ∈ (cs i).side 0 :=
by { convert b_mem_side (cs i) _ using 1, rw hi.1 }
lemma b_le_b (hi : i ∈ bcubes cs c) (j : fin n) : c.b j.succ ≤ (cs i).b j.succ :=
(tail_sub hi j $ b_mem_side _ _).1
lemma t_le_t (hi : i ∈ bcubes cs c) (j : fin n) :
(cs i).b j.succ + (cs i).w ≤ c.b j.succ + c.w :=
begin
have h' := tail_sub hi j, dsimp only [side] at h', rw [Ico_subset_Ico_iff] at h',
exact h'.2, simp [hw]
end
include h v
/-- Every cube in the valley must be smaller than it -/
lemma w_lt_w (hi : i ∈ bcubes cs c) : (cs i).w < c.w :=
begin
apply lt_of_le_of_ne _ (v.2.2 i hi.1),
have j : fin n := ⟨1, nat.le_of_succ_le_succ h.three_le⟩,
rw [←add_le_add_iff_left ((cs i).b j.succ)],
apply le_trans (t_le_t hi j), rw [add_le_add_iff_right], apply b_le_b hi,
end
/-- There are at least two cubes in a valley -/
lemma nontrivial_bcubes : (bcubes cs c).nontrivial :=
begin
rcases v.1 c.b_mem_bottom with ⟨_, ⟨i, rfl⟩, hi⟩,
have h2i : i ∈ bcubes cs c :=
⟨hi.1.symm, v.2.1 i hi.1.symm ⟨tail c.b, hi.2, λ j, c.b_mem_side j.succ⟩⟩,
let j : fin (n+1) := ⟨2, h.three_le⟩,
have hj : 0 ≠ j := by { simp only [fin.ext_iff, ne.def], contradiction },
let p : fin (n+1) → ℝ := λ j', if j' = j then c.b j + (cs i).w else c.b j',
have hp : p ∈ c.bottom,
{ split, { simp only [bottom, p, if_neg hj] },
intro j', simp only [tail, side_tail],
by_cases hj' : j'.succ = j,
{ simp [p, -add_comm, if_pos, side, hj', hw', w_lt_w h v h2i] },
{ simp [p, -add_comm, if_neg hj'] }},
rcases v.1 hp with ⟨_, ⟨i', rfl⟩, hi'⟩,
have h2i' : i' ∈ bcubes cs c := ⟨hi'.1.symm, v.2.1 i' hi'.1.symm ⟨tail p, hi'.2, hp.2⟩⟩,
refine ⟨i, h2i, i', h2i', _⟩,
rintro rfl,
apply not_le_of_lt (hi'.2 ⟨1, nat.le_of_succ_le_succ h.three_le⟩).2,
simp only [tail, cube.tail, p],
rw [if_pos, add_le_add_iff_right],
{ exact (hi.2 _).1 },
refl
end
/-- There is a cube in the valley -/
lemma nonempty_bcubes : (bcubes cs c).nonempty :=
(nontrivial_bcubes h v).nonempty
variables [finite ι]
/-- There is a smallest cube in the valley -/
lemma exists_mi : ∃ i ∈ bcubes cs c, ∀ i' ∈ bcubes cs c,
(cs i).w ≤ (cs i').w :=
(bcubes cs c).exists_min_image (λ i, (cs i).w) (set.to_finite _) (nonempty_bcubes h v)
/-- We let `mi` be the (index for the) smallest cube in the valley `c` -/
def mi : ι := classical.some $ exists_mi h v
variables {h v}
lemma mi_mem_bcubes : mi h v ∈ bcubes cs c :=
(classical.some_spec $ exists_mi h v).fst
lemma mi_minimal (hi : i ∈ bcubes cs c) : (cs $ mi h v).w ≤ (cs i).w :=
(classical.some_spec $ exists_mi h v).snd i hi
lemma mi_strict_minimal (hii' : mi h v ≠ i) (hi : i ∈ bcubes cs c) :
(cs $ mi h v).w < (cs i).w :=
(mi_minimal hi).lt_of_ne $ h.injective.ne hii'
/-- The top of `mi` cannot be 1, since there is a larger cube in the valley -/
lemma mi_xm_ne_one : (cs $ mi h v).xm ≠ 1 :=
begin
apply ne_of_lt, rcases (nontrivial_bcubes h v).exists_ne (mi h v) with ⟨i, hi, h2i⟩,
apply lt_of_lt_of_le _ h.b_add_w_le_one, exact i, exact 0,
rw [xm, mi_mem_bcubes.1, hi.1, _root_.add_lt_add_iff_left],
exact mi_strict_minimal h2i.symm hi
end
/-- If `mi` lies on the boundary of the valley in dimension j, then this lemma expresses that all
other cubes on the same boundary extend further from the boundary.
More precisely, there is a j-th coordinate `x : ℝ` in the valley, but not in `mi`,
such that every cube that shares a (particular) j-th coordinate with `mi` also contains j-th
coordinate `x` -/
lemma smallest_on_boundary {j} (bi : on_boundary (mi_mem_bcubes : mi h v ∈ _) j) :
∃(x : ℝ), x ∈ c.side j.succ \ (cs $ mi h v).side j.succ ∧
∀ ⦃i'⦄ (hi' : i' ∈ bcubes cs c), i' ≠ mi h v →
(cs $ mi h v).b j.succ ∈ (cs i').side j.succ → x ∈ (cs i').side j.succ :=
begin
let i := mi h v, have hi : i ∈ bcubes cs c := mi_mem_bcubes,
cases bi,
{ refine ⟨(cs i).b j.succ + (cs i).w, ⟨_, _⟩, _⟩,
{ simp [side, bi, hw', w_lt_w h v hi] },
{ intro h', simpa [i, lt_irrefl] using h'.2 },
intros i' hi' i'_i h2i', split,
apply le_trans h2i'.1, { simp [hw'] },
apply lt_of_lt_of_le (add_lt_add_left (mi_strict_minimal i'_i.symm hi') _),
simp [bi.symm, b_le_b hi'] },
let s := bcubes cs c \ { i },
have hs : s.nonempty,
{ rcases (nontrivial_bcubes h v).exists_ne i with ⟨i', hi', h2i'⟩,
exact ⟨i', hi', h2i'⟩ },
rcases set.exists_min_image s (w ∘ cs) (set.to_finite _) hs with ⟨i', ⟨hi', h2i'⟩, h3i'⟩,
rw [mem_singleton_iff] at h2i',
let x := c.b j.succ + c.w - (cs i').w,
have hx : x < (cs i).b j.succ,
{ dsimp only [x], rw [←bi, add_sub_assoc, add_lt_iff_neg_left, sub_lt_zero],
apply mi_strict_minimal (ne.symm h2i') hi' },
refine ⟨x, ⟨_, _⟩, _⟩,
{ simp only [side, x, -add_comm, -add_assoc, neg_lt_zero, hw, add_lt_iff_neg_left, and_true,
mem_Ico, sub_eq_add_neg],
rw [add_assoc, le_add_iff_nonneg_right, ←sub_eq_add_neg, sub_nonneg],
apply le_of_lt (w_lt_w h v hi') },
{ simp only [side, not_and_distrib, not_lt, add_comm, not_le, mem_Ico], left, exact hx },
intros i'' hi'' h2i'' h3i'', split, swap, apply lt_trans hx h3i''.2,
simp only [x], rw [le_sub_iff_add_le],
refine le_trans _ (t_le_t hi'' j), rw [add_le_add_iff_left], apply h3i' i'' ⟨hi'', _⟩,
simp [mem_singleton, h2i'']
end
variables (h v)
/-- `mi` cannot lie on the boundary of the valley. Otherwise, the cube adjacent to it in the `j`-th
direction will intersect one of the neighbouring cubes on the same boundary as `mi`. -/
lemma mi_not_on_boundary (j : fin n) : ¬on_boundary (mi_mem_bcubes : mi h v ∈ _) j :=
begin
let i := mi h v, have hi : i ∈ bcubes cs c := mi_mem_bcubes,
haveI := h.nontrivial_fin,
rcases exists_ne j with ⟨j', hj'⟩, swap,
intro hj,
rcases smallest_on_boundary hj with ⟨x, ⟨hx, h2x⟩, h3x⟩,
let p : fin (n+1) → ℝ := cons (c.b 0) (λ j₂, if j₂ = j then x else (cs i).b j₂.succ),
have hp : p ∈ c.bottom,
{ suffices : ∀ (j' : fin n), ite (j' = j) x ((cs i).b j'.succ) ∈ c.side j'.succ,
{ simpa [bottom, p, to_set, tail, side_tail] },
intro j₂,
by_cases hj₂ : j₂ = j, { simp [hj₂, hx] },
simp only [hj₂, if_false], apply tail_sub hi, apply b_mem_side },
rcases v.1 hp with ⟨_, ⟨i', rfl⟩, hi'⟩,
have h2i' : i' ∈ bcubes cs c := ⟨hi'.1.symm, v.2.1 i' hi'.1.symm ⟨tail p, hi'.2, hp.2⟩⟩,
have i_i' : i ≠ i', { rintro rfl, simpa [p, side_tail, i, h2x] using hi'.2 j },
have : nonempty ↥((cs i').tail.side j' \ (cs i).tail.side j'),
{ apply nonempty_Ico_sdiff, apply mi_strict_minimal i_i' h2i', apply hw },
rcases this with ⟨⟨x', hx'⟩⟩,
let p' : fin (n+1) → ℝ :=
cons (c.b 0) (λ j₂, if j₂ = j' then x' else (cs i).b j₂.succ),
have hp' : p' ∈ c.bottom,
{ suffices : ∀ (j : fin n), ite (j = j') x' ((cs i).b j.succ) ∈ c.side j.succ,
{ simpa [bottom, p', to_set, tail, side_tail] },
intro j₂,
by_cases hj₂ : j₂ = j', simp [hj₂], apply tail_sub h2i', apply hx'.1,
simp only [if_congr, if_false, hj₂], apply tail_sub hi, apply b_mem_side },
rcases v.1 hp' with ⟨_, ⟨i'', rfl⟩, hi''⟩,
have h2i'' : i'' ∈ bcubes cs c := ⟨hi''.1.symm, v.2.1 i'' hi''.1.symm ⟨tail p', hi''.2, hp'.2⟩⟩,
have i'_i'' : i' ≠ i'',
{ rintro ⟨⟩,
have : (cs i).b ∈ (cs i').to_set,
{ simp only [to_set, forall_fin_succ, hi.1, bottom_mem_side h2i', true_and, mem_set_of_eq],
intro j₂, by_cases hj₂ : j₂ = j,
{ simpa [side_tail, p', hj'.symm, hj₂] using hi''.2 j },
{ simpa [hj₂] using hi'.2 j₂ } },
apply not_disjoint_iff.mpr ⟨(cs i).b, (cs i).b_mem_to_set, this⟩ (h.1 i_i') },
have i_i'' : i ≠ i'', { intro h, induction h, simpa [hx'.2] using hi''.2 j' },
apply not.elim _ (h.1 i'_i''),
simp only [on_fun, to_set_disjoint, not_disjoint_iff, forall_fin_succ, not_exists, comp_app],
refine ⟨⟨c.b 0, bottom_mem_side h2i', bottom_mem_side h2i''⟩, _⟩,
intro j₂,
by_cases hj₂ : j₂ = j,
{ cases hj₂, refine ⟨x, _, _⟩,
{ convert hi'.2 j, simp [p] },
apply h3x h2i'' i_i''.symm, convert hi''.2 j, simp [p', hj'.symm] },
by_cases h2j₂ : j₂ = j',
{ cases h2j₂, refine ⟨x', hx'.1, _⟩, convert hi''.2 j', simp },
refine ⟨(cs i).b j₂.succ, _, _⟩,
{ convert hi'.2 j₂, simp [hj₂] },
{ convert hi''.2 j₂, simp [h2j₂] }
end
variables {h v}
/-- The same result that `mi` cannot lie on the boundary of the valley written as inequalities. -/
lemma mi_not_on_boundary' (j : fin n) : c.tail.b j < (cs (mi h v)).tail.b j ∧
(cs (mi h v)).tail.b j + (cs (mi h v)).w < c.tail.b j + c.w :=
begin
have := mi_not_on_boundary h v j,
simp only [on_boundary, not_or_distrib] at this, cases this with h1 h2,
split,
apply lt_of_le_of_ne (b_le_b mi_mem_bcubes _) h1,
apply lt_of_le_of_ne _ h2,
apply ((Ico_subset_Ico_iff _).mp (tail_sub mi_mem_bcubes j)).2,
simp [hw]
end
/-- The top of `mi` gives rise to a new valley, since the neighbouring cubes extend further upward
than `mi`. -/
lemma valley_mi : valley cs ((cs (mi h v)).shift_up) :=
begin
let i := mi h v, have hi : i ∈ bcubes cs c := mi_mem_bcubes,
refine ⟨_, _, _⟩,
{ intro p, apply h.shift_up_bottom_subset_bottoms mi_xm_ne_one },
{ rintros i' hi' ⟨p2, hp2, h2p2⟩, simp only [head_shift_up] at hi', classical, by_contra h2i',
rw [tail_shift_up] at h2p2, simp only [not_subset, tail_shift_up] at h2i',
rcases h2i' with ⟨p1, hp1, h2p1⟩,
have : ∃p3, p3 ∈ (cs i').tail.to_set ∧ p3 ∉ (cs i).tail.to_set ∧ p3 ∈ c.tail.to_set,
{ simp only [to_set, not_forall, mem_set_of_eq] at h2p1, cases h2p1 with j hj,
rcases Ico_lemma (mi_not_on_boundary' j).1 (by simp [hw]) (mi_not_on_boundary' j).2
(le_trans (hp2 j).1 $ le_of_lt (h2p2 j).2)
(le_trans (h2p2 j).1 $ le_of_lt (hp2 j).2) ⟨hj, hp1 j⟩ with ⟨w, hw, h2w, h3w⟩,
refine ⟨λ j', if j' = j then w else p2 j', _, _, _⟩,
{ intro j', by_cases h : j' = j,
{ simp only [if_pos h], convert h3w },
{ simp only [if_neg h], exact hp2 j' } },
{ simp only [to_set, not_forall, mem_set_of_eq], use j, rw [if_pos rfl], convert h2w },
{ intro j', by_cases h : j' = j,
{ simp only [if_pos h, side_tail], convert hw },
{ simp only [if_neg h], apply hi.2, apply h2p2 } } },
rcases this with ⟨p3, h1p3, h2p3, h3p3⟩,
let p := @cons n (λ_, ℝ) (c.b 0) p3,
have hp : p ∈ c.bottom, { refine ⟨rfl, _⟩, rwa [tail_cons] },
rcases v.1 hp with ⟨_, ⟨i'', rfl⟩, hi''⟩,
have h2i'' : i'' ∈ bcubes cs c,
{ use hi''.1.symm, apply v.2.1 i'' hi''.1.symm,
use tail p, split, exact hi''.2, rw [tail_cons], exact h3p3 },
have h3i'' : (cs i).w < (cs i'').w,
{ apply mi_strict_minimal _ h2i'', rintro rfl, apply h2p3, convert hi''.2, rw [tail_cons] },
let p' := @cons n (λ_, ℝ) (cs i).xm p3,
have hp' : p' ∈ (cs i').to_set,
{ simpa [to_set, forall_fin_succ, p', hi'.symm] using h1p3 },
have h2p' : p' ∈ (cs i'').to_set,
{ simp only [to_set, forall_fin_succ, p', cons_succ, cons_zero, mem_set_of_eq],
refine ⟨_, by simpa [to_set, p] using hi''.2⟩,
have : (cs i).b 0 = (cs i'').b 0, { rw [hi.1, h2i''.1] },
simp [side, hw', xm, this, h3i''] },
apply not_disjoint_iff.mpr ⟨p', hp', h2p'⟩,
apply h.1, rintro rfl, apply (cs i).b_ne_xm, rw [←hi', ←hi''.1, hi.1], refl },
{ intros i' hi' h2i',
dsimp only [shift_up] at h2i',
replace h2i' := h.injective h2i'.symm,
induction h2i',
exact b_ne_xm (cs i) hi' }
end
variables (h) [nontrivial ι]
omit v
/-- We get a sequence of cubes whose size is decreasing -/
noncomputable def sequence_of_cubes : ℕ → { i : ι // valley cs ((cs i).shift_up) }
| 0 := let v := valley_unit_cube h in ⟨mi h v, valley_mi⟩
| (k+1) := let v := (sequence_of_cubes k).2 in ⟨mi h v, valley_mi⟩
def decreasing_sequence (k : ℕ) : ℝ := (cs (sequence_of_cubes h k).1).w
lemma strict_anti_sequence_of_cubes : strict_anti $ decreasing_sequence h :=
strict_anti_nat_of_succ_lt $ λ k,
begin
let v := (sequence_of_cubes h k).2, dsimp only [decreasing_sequence, sequence_of_cubes],
apply w_lt_w h v (mi_mem_bcubes : mi h v ∈ _),
end
lemma injective_sequence_of_cubes : injective (sequence_of_cubes h) :=
@injective.of_comp _ _ _ (λ x : {i : ι // _}, (cs x.1).w) _
(strict_anti_sequence_of_cubes h).injective
omit h
/-- The infinite sequence of cubes contradicts the finiteness of the family. -/
theorem not_correct : ¬correct cs :=
λ h, (finite.of_injective _ $ injective_sequence_of_cubes h).false
/-- **Dissection of Cubes**: A cube cannot be cubed. -/
theorem cannot_cube_a_cube :
∀ {n : ℕ}, n ≥ 3 → -- In ℝ^n for n ≥ 3
∀ {s : set (cube n)}, s.finite → -- given a finite collection of (hyper)cubes
s.nontrivial → -- containing at least two elements
s.pairwise_disjoint cube.to_set → -- which is pairwise disjoint
(⋃ c ∈ s, cube.to_set c) = unit_cube.to_set → -- whose union is the unit cube
inj_on cube.w s → -- such that the widths of all cubes are different
false := -- then we can derive a contradiction
begin
intros n hn s hfin h2 hd hU hinj,
cases n,
{ cases hn },
exact @not_correct n s coe hfin.to_subtype h2.coe_sort
⟨hd.subtype _ _, (Union_subtype _ _).trans hU, hinj.injective, hn⟩
end
end «82»
end theorems_100
|
3dde36a501909bbf8909a9cce1b951e5e308bd44 | 9028d228ac200bbefe3a711342514dd4e4458bff | /src/topology/algebra/uniform_ring.lean | 8a0e3a3a85d389841331835f5aa160ceaf833d4c | [
"Apache-2.0"
] | permissive | mcncm/mathlib | 8d25099344d9d2bee62822cb9ed43aa3e09fa05e | fde3d78cadeec5ef827b16ae55664ef115e66f57 | refs/heads/master | 1,672,743,316,277 | 1,602,618,514,000 | 1,602,618,514,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,656 | lean | /-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Johannes Hölzl
Theory of topological rings with uniform structure.
-/
import topology.algebra.group_completion
import topology.algebra.ring
open classical set filter topological_space add_comm_group
open_locale classical
noncomputable theory
namespace uniform_space.completion
open dense_inducing uniform_space function
variables (α : Type*) [ring α] [uniform_space α]
instance : has_one (completion α) := ⟨(1:α)⟩
instance : has_mul (completion α) :=
⟨curry $ (dense_inducing_coe.prod dense_inducing_coe).extend (coe ∘ uncurry (*))⟩
@[norm_cast] lemma coe_one : ((1 : α) : completion α) = 1 := rfl
variables {α} [topological_ring α]
@[norm_cast]
lemma coe_mul (a b : α) : ((a * b : α) : completion α) = a * b :=
((dense_inducing_coe.prod dense_inducing_coe).extend_eq
((continuous_coe α).comp continuous_mul) (a, b)).symm
variables [uniform_add_group α]
lemma continuous_mul : continuous (λ p : completion α × completion α, p.1 * p.2) :=
begin
haveI : is_Z_bilin ((coe ∘ uncurry (*)) : α × α → completion α) :=
{ add_left := begin
introv,
change coe ((a + a')*b) = coe (a*b) + coe (a'*b),
rw_mod_cast add_mul
end,
add_right := begin
introv,
change coe (a*(b + b')) = coe (a*b) + coe (a*b'),
rw_mod_cast mul_add
end },
have : continuous ((coe ∘ uncurry (*)) : α × α → completion α),
from (continuous_coe α).comp continuous_mul,
convert dense_inducing_coe.extend_Z_bilin dense_inducing_coe this,
simp only [(*), curry, prod.mk.eta]
end
lemma continuous.mul {β : Type*} [topological_space β] {f g : β → completion α}
(hf : continuous f) (hg : continuous g) : continuous (λb, f b * g b) :=
continuous_mul.comp (continuous.prod_mk hf hg)
instance : ring (completion α) :=
{ one_mul := assume a, completion.induction_on a
(is_closed_eq (continuous.mul continuous_const continuous_id) continuous_id)
(assume a, by rw [← coe_one, ← coe_mul, one_mul]),
mul_one := assume a, completion.induction_on a
(is_closed_eq (continuous.mul continuous_id continuous_const) continuous_id)
(assume a, by rw [← coe_one, ← coe_mul, mul_one]),
mul_assoc := assume a b c, completion.induction_on₃ a b c
(is_closed_eq
(continuous.mul (continuous.mul continuous_fst (continuous_fst.comp continuous_snd))
(continuous_snd.comp continuous_snd))
(continuous.mul continuous_fst
(continuous.mul (continuous_fst.comp continuous_snd) (continuous_snd.comp continuous_snd))))
(assume a b c, by rw [← coe_mul, ← coe_mul, ← coe_mul, ← coe_mul, mul_assoc]),
left_distrib := assume a b c, completion.induction_on₃ a b c
(is_closed_eq
(continuous.mul continuous_fst (continuous.add
(continuous_fst.comp continuous_snd)
(continuous_snd.comp continuous_snd)))
(continuous.add
(continuous.mul continuous_fst (continuous_fst.comp continuous_snd))
(continuous.mul continuous_fst (continuous_snd.comp continuous_snd))))
(assume a b c, by rw [← coe_add, ← coe_mul, ← coe_mul, ← coe_mul, ←coe_add, mul_add]),
right_distrib := assume a b c, completion.induction_on₃ a b c
(is_closed_eq
(continuous.mul (continuous.add continuous_fst
(continuous_fst.comp continuous_snd)) (continuous_snd.comp continuous_snd))
(continuous.add
(continuous.mul continuous_fst (continuous_snd.comp continuous_snd))
(continuous.mul (continuous_fst.comp continuous_snd) (continuous_snd.comp continuous_snd))))
(assume a b c, by rw [← coe_add, ← coe_mul, ← coe_mul, ← coe_mul, ←coe_add, add_mul]),
..completion.add_comm_group, ..completion.has_mul α, ..completion.has_one α }
/-- The map from a uniform ring to its completion, as a ring homomorphism. -/
def coe_ring_hom : α →+* completion α :=
⟨coe, coe_one α, assume a b, coe_mul a b, coe_zero, assume a b, coe_add a b⟩
universes u
variables {β : Type u} [uniform_space β] [ring β] [uniform_add_group β] [topological_ring β]
(f : α →+* β) (hf : continuous f)
/-- The completion extension as a ring morphism. -/
def extension_hom [complete_space β] [separated_space β] :
completion α →+* β :=
have hf : uniform_continuous f, from uniform_continuous_of_continuous hf,
{ to_fun := completion.extension f,
map_zero' := by rw [← coe_zero, extension_coe hf, f.map_zero],
map_add' := assume a b, completion.induction_on₂ a b
(is_closed_eq
(continuous_extension.comp continuous_add)
((continuous_extension.comp continuous_fst).add
(continuous_extension.comp continuous_snd)))
(assume a b,
by rw [← coe_add, extension_coe hf, extension_coe hf, extension_coe hf,
f.map_add]),
map_one' := by rw [← coe_one, extension_coe hf, f.map_one],
map_mul' := assume a b, completion.induction_on₂ a b
(is_closed_eq
(continuous_extension.comp continuous_mul)
((continuous_extension.comp continuous_fst).mul (continuous_extension.comp continuous_snd)))
(assume a b,
by rw [← coe_mul, extension_coe hf, extension_coe hf, extension_coe hf, f.map_mul]) }
instance top_ring_compl : topological_ring (completion α) :=
{ continuous_add := continuous_add,
continuous_mul := continuous_mul,
continuous_neg := continuous_neg }
/-- The completion map as a ring morphism. -/
def map_ring_hom : completion α →+* completion β :=
extension_hom (coe_ring_hom.comp f) ((continuous_coe β).comp hf)
variables (R : Type*) [comm_ring R] [uniform_space R] [uniform_add_group R] [topological_ring R]
instance : comm_ring (completion R) :=
{ mul_comm := assume a b, completion.induction_on₂ a b
(is_closed_eq (continuous_fst.mul continuous_snd)
(continuous_snd.mul continuous_fst))
(assume a b, by rw [← coe_mul, ← coe_mul, mul_comm]),
..completion.ring }
end uniform_space.completion
namespace uniform_space
variables {α : Type*}
lemma ring_sep_rel (α) [comm_ring α] [uniform_space α] [uniform_add_group α] [topological_ring α] :
separation_setoid α = submodule.quotient_rel (ideal.closure ⊥) :=
setoid.ext $ assume x y, group_separation_rel x y
lemma ring_sep_quot (α) [r : comm_ring α] [uniform_space α] [uniform_add_group α] [topological_ring α] :
quotient (separation_setoid α) = (⊥ : ideal α).closure.quotient :=
by rw [@ring_sep_rel α r]; refl
/-- Given a topological ring `α` equipped with a uniform structure that makes subtraction uniformly
continuous, get an equivalence between the separated quotient of `α` and the quotient ring
corresponding to the closure of zero. -/
def sep_quot_equiv_ring_quot (α)
[r : comm_ring α] [uniform_space α] [uniform_add_group α] [topological_ring α] :
quotient (separation_setoid α) ≃ (⊥ : ideal α).closure.quotient :=
quotient.congr_right $ assume x y, group_separation_rel x y
/- TODO: use a form of transport a.k.a. lift definition a.k.a. transfer -/
instance [comm_ring α] [uniform_space α] [uniform_add_group α] [topological_ring α] :
comm_ring (quotient (separation_setoid α)) :=
by rw ring_sep_quot α; apply_instance
instance [comm_ring α] [uniform_space α] [uniform_add_group α] [topological_ring α] :
topological_ring (quotient (separation_setoid α)) :=
begin
convert topological_ring_quotient (⊥ : ideal α).closure; try {apply ring_sep_rel},
simp [uniform_space.comm_ring]
end
end uniform_space
|
c30f1170294c22ba8bdca3ce50b8203ed1373cbc | 957a80ea22c5abb4f4670b250d55534d9db99108 | /tests/lean/run/level_bug3.lean | d780265f55e09faf8dd985059036960c63d4816d | [
"Apache-2.0"
] | permissive | GaloisInc/lean | aa1e64d604051e602fcf4610061314b9a37ab8cd | f1ec117a24459b59c6ff9e56a1d09d9e9e60a6c0 | refs/heads/master | 1,592,202,909,807 | 1,504,624,387,000 | 1,504,624,387,000 | 75,319,626 | 2 | 1 | Apache-2.0 | 1,539,290,164,000 | 1,480,616,104,000 | C++ | UTF-8 | Lean | false | false | 199 | lean | variables {a r : Type}
definition f a := Πr, (a -> r) -> r
lemma blah2 (sa : f a) (k : (a -> r)) :
sa r k = sa r k :=
sorry
lemma blah3 (sa : f a) (k : (a -> r)) :
sa r k = sa r k :=
rfl
|
58344bfaa4da3ac4ad8a0edc4ffd9ba36d7b7370 | 77c5b91fae1b966ddd1db969ba37b6f0e4901e88 | /src/ring_theory/subsemiring.lean | f1eb39177a76b693c5bf5d04c636711e16655c9f | [
"Apache-2.0"
] | permissive | dexmagic/mathlib | ff48eefc56e2412429b31d4fddd41a976eb287ce | 7a5d15a955a92a90e1d398b2281916b9c41270b2 | refs/heads/master | 1,693,481,322,046 | 1,633,360,193,000 | 1,633,360,193,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 34,131 | lean | /-
Copyright (c) 2020 Yury Kudryashov All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import algebra.ring.prod
import group_theory.submonoid
import group_theory.submonoid.center
import data.equiv.ring
/-!
# Bundled subsemirings
We define bundled subsemirings and some standard constructions: `complete_lattice` structure,
`subtype` and `inclusion` ring homomorphisms, subsemiring `map`, `comap` and range (`srange`) of
a `ring_hom` etc.
-/
open_locale big_operators
universes u v w
variables {R : Type u} {S : Type v} {T : Type w}
[non_assoc_semiring R] [non_assoc_semiring S] [non_assoc_semiring T]
(M : submonoid R)
set_option old_structure_cmd true
/-- A subsemiring of a semiring `R` is a subset `s` that is both a multiplicative and an additive
submonoid. -/
structure subsemiring (R : Type u) [non_assoc_semiring R] extends submonoid R, add_submonoid R
/-- Reinterpret a `subsemiring` as a `submonoid`. -/
add_decl_doc subsemiring.to_submonoid
/-- Reinterpret a `subsemiring` as an `add_submonoid`. -/
add_decl_doc subsemiring.to_add_submonoid
namespace subsemiring
instance : set_like (subsemiring R) R :=
⟨subsemiring.carrier, λ p q h, by cases p; cases q; congr'⟩
@[simp]
lemma mem_carrier {s : subsemiring R} {x : R} : x ∈ s.carrier ↔ x ∈ s := iff.rfl
/-- Two subsemirings are equal if they have the same elements. -/
@[ext] theorem ext {S T : subsemiring R} (h : ∀ x, x ∈ S ↔ x ∈ T) : S = T := set_like.ext h
/-- Copy of a subsemiring with a new `carrier` equal to the old one. Useful to fix definitional
equalities.-/
protected def copy (S : subsemiring R) (s : set R) (hs : s = ↑S) : subsemiring R :=
{ carrier := s,
..S.to_add_submonoid.copy s hs,
..S.to_submonoid.copy s hs }
lemma to_submonoid_injective : function.injective (to_submonoid : subsemiring R → submonoid R)
| r s h := ext (set_like.ext_iff.mp h : _)
@[mono] lemma to_submonoid_strict_mono : strict_mono (to_submonoid : subsemiring R → submonoid R) :=
λ _ _, id
@[mono] lemma to_submonoid_mono : monotone (to_submonoid : subsemiring R → submonoid R) :=
to_submonoid_strict_mono.monotone
lemma to_add_submonoid_injective :
function.injective (to_add_submonoid : subsemiring R → add_submonoid R)
| r s h := ext (set_like.ext_iff.mp h : _)
@[mono] lemma to_add_submonoid_strict_mono :
strict_mono (to_add_submonoid : subsemiring R → add_submonoid R) := λ _ _, id
@[mono]
lemma to_add_submonoid_mono : monotone (to_add_submonoid : subsemiring R → add_submonoid R) :=
to_add_submonoid_strict_mono.monotone
/-- Construct a `subsemiring R` from a set `s`, a submonoid `sm`, and an additive
submonoid `sa` such that `x ∈ s ↔ x ∈ sm ↔ x ∈ sa`. -/
protected def mk' (s : set R) (sm : submonoid R) (hm : ↑sm = s)
(sa : add_submonoid R) (ha : ↑sa = s) :
subsemiring R :=
{ carrier := s,
zero_mem' := ha ▸ sa.zero_mem,
one_mem' := hm ▸ sm.one_mem,
add_mem' := λ x y, by simpa only [← ha] using sa.add_mem,
mul_mem' := λ x y, by simpa only [← hm] using sm.mul_mem }
@[simp] lemma coe_mk' {s : set R} {sm : submonoid R} (hm : ↑sm = s)
{sa : add_submonoid R} (ha : ↑sa = s) :
(subsemiring.mk' s sm hm sa ha : set R) = s := rfl
@[simp] lemma mem_mk' {s : set R} {sm : submonoid R} (hm : ↑sm = s)
{sa : add_submonoid R} (ha : ↑sa = s) {x : R} :
x ∈ subsemiring.mk' s sm hm sa ha ↔ x ∈ s :=
iff.rfl
@[simp] lemma mk'_to_submonoid {s : set R} {sm : submonoid R} (hm : ↑sm = s)
{sa : add_submonoid R} (ha : ↑sa = s) :
(subsemiring.mk' s sm hm sa ha).to_submonoid = sm :=
set_like.coe_injective hm.symm
@[simp] lemma mk'_to_add_submonoid {s : set R} {sm : submonoid R} (hm : ↑sm = s)
{sa : add_submonoid R} (ha : ↑sa =s) :
(subsemiring.mk' s sm hm sa ha).to_add_submonoid = sa :=
set_like.coe_injective ha.symm
end subsemiring
namespace subsemiring
variables (s : subsemiring R)
/-- A subsemiring contains the semiring's 1. -/
theorem one_mem : (1 : R) ∈ s := s.one_mem'
/-- A subsemiring contains the semiring's 0. -/
theorem zero_mem : (0 : R) ∈ s := s.zero_mem'
/-- A subsemiring is closed under multiplication. -/
theorem mul_mem : ∀ {x y : R}, x ∈ s → y ∈ s → x * y ∈ s := s.mul_mem'
/-- A subsemiring is closed under addition. -/
theorem add_mem : ∀ {x y : R}, x ∈ s → y ∈ s → x + y ∈ s := s.add_mem'
/-- Product of a list of elements in a `subsemiring` is in the `subsemiring`. -/
lemma list_prod_mem {R : Type*} [semiring R] (s : subsemiring R) {l : list R} :
(∀x ∈ l, x ∈ s) → l.prod ∈ s :=
s.to_submonoid.list_prod_mem
/-- Sum of a list of elements in a `subsemiring` is in the `subsemiring`. -/
lemma list_sum_mem {l : list R} : (∀x ∈ l, x ∈ s) → l.sum ∈ s :=
s.to_add_submonoid.list_sum_mem
/-- Product of a multiset of elements in a `subsemiring` of a `comm_semiring`
is in the `subsemiring`. -/
lemma multiset_prod_mem {R} [comm_semiring R] (s : subsemiring R) (m : multiset R) :
(∀a ∈ m, a ∈ s) → m.prod ∈ s :=
s.to_submonoid.multiset_prod_mem m
/-- Sum of a multiset of elements in a `subsemiring` of a `semiring` is
in the `add_subsemiring`. -/
lemma multiset_sum_mem (m : multiset R) :
(∀a ∈ m, a ∈ s) → m.sum ∈ s :=
s.to_add_submonoid.multiset_sum_mem m
/-- Product of elements of a subsemiring of a `comm_semiring` indexed by a `finset` is in the
subsemiring. -/
lemma prod_mem {R : Type*} [comm_semiring R] (s : subsemiring R)
{ι : Type*} {t : finset ι} {f : ι → R} (h : ∀c ∈ t, f c ∈ s) :
∏ i in t, f i ∈ s :=
s.to_submonoid.prod_mem h
/-- Sum of elements in an `subsemiring` of an `semiring` indexed by a `finset`
is in the `add_subsemiring`. -/
lemma sum_mem (s : subsemiring R)
{ι : Type*} {t : finset ι} {f : ι → R} (h : ∀c ∈ t, f c ∈ s) :
∑ i in t, f i ∈ s :=
s.to_add_submonoid.sum_mem h
lemma pow_mem {R : Type*} [semiring R] (s : subsemiring R) {x : R} (hx : x ∈ s) (n : ℕ) :
x^n ∈ s := s.to_submonoid.pow_mem hx n
lemma nsmul_mem {x : R} (hx : x ∈ s) (n : ℕ) :
n • x ∈ s := s.to_add_submonoid.nsmul_mem hx n
lemma coe_nat_mem (n : ℕ) : (n : R) ∈ s :=
by simp only [← nsmul_one, nsmul_mem, one_mem]
/-- A subsemiring of a `non_assoc_semiring` inherits a `non_assoc_semiring` structure -/
instance to_non_assoc_semiring : non_assoc_semiring s :=
{ mul_zero := λ x, subtype.eq $ mul_zero x,
zero_mul := λ x, subtype.eq $ zero_mul x,
right_distrib := λ x y z, subtype.eq $ right_distrib x y z,
left_distrib := λ x y z, subtype.eq $ left_distrib x y z,
.. s.to_submonoid.to_mul_one_class, .. s.to_add_submonoid.to_add_comm_monoid }
@[simp, norm_cast] lemma coe_one : ((1 : s) : R) = (1 : R) := rfl
@[simp, norm_cast] lemma coe_zero : ((0 : s) : R) = (0 : R) := rfl
@[simp, norm_cast] lemma coe_add (x y : s) : ((x + y : s) : R) = (x + y : R) := rfl
@[simp, norm_cast] lemma coe_mul (x y : s) : ((x * y : s) : R) = (x * y : R) := rfl
instance nontrivial [nontrivial R] : nontrivial s :=
nontrivial_of_ne 0 1 $ λ H, zero_ne_one (congr_arg subtype.val H)
instance no_zero_divisors [no_zero_divisors R] : no_zero_divisors s :=
{ eq_zero_or_eq_zero_of_mul_eq_zero := λ x y h,
or.cases_on (eq_zero_or_eq_zero_of_mul_eq_zero $ subtype.ext_iff.mp h)
(λ h, or.inl $ subtype.eq h) (λ h, or.inr $ subtype.eq h) }
/-- A subsemiring of a `semiring` is a `semiring`. -/
instance to_semiring {R} [semiring R] (s : subsemiring R) : semiring s :=
{ ..s.to_non_assoc_semiring, ..s.to_submonoid.to_monoid }
@[simp, norm_cast] lemma coe_pow {R} [semiring R] (s : subsemiring R) (x : s) (n : ℕ) :
((x^n : s) : R) = (x^n : R) :=
begin
induction n with n ih,
{ simp, },
{ simp [pow_succ, ih], },
end
/-- A subsemiring of a `comm_semiring` is a `comm_semiring`. -/
instance to_comm_semiring {R} [comm_semiring R] (s : subsemiring R) : comm_semiring s :=
{ mul_comm := λ _ _, subtype.eq $ mul_comm _ _, ..s.to_semiring}
/-- The natural ring hom from a subsemiring of semiring `R` to `R`. -/
def subtype : s →+* R :=
{ to_fun := coe, .. s.to_submonoid.subtype, .. s.to_add_submonoid.subtype }
@[simp] theorem coe_subtype : ⇑s.subtype = coe := rfl
/-- A subsemiring of an `ordered_semiring` is an `ordered_semiring`. -/
instance to_ordered_semiring {R} [ordered_semiring R] (s : subsemiring R) : ordered_semiring s :=
subtype.coe_injective.ordered_semiring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl)
/-- A subsemiring of an `ordered_comm_semiring` is an `ordered_comm_semiring`. -/
instance to_ordered_comm_semiring {R} [ordered_comm_semiring R] (s : subsemiring R) :
ordered_comm_semiring s :=
subtype.coe_injective.ordered_comm_semiring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl)
/-- A subsemiring of a `linear_ordered_semiring` is a `linear_ordered_semiring`. -/
instance to_linear_ordered_semiring {R} [linear_ordered_semiring R] (s : subsemiring R) :
linear_ordered_semiring s :=
subtype.coe_injective.linear_ordered_semiring coe rfl rfl (λ _ _, rfl) (λ _ _, rfl)
/-! Note: currently, there is no `linear_ordered_comm_semiring`. -/
@[simp] lemma mem_to_submonoid {s : subsemiring R} {x : R} : x ∈ s.to_submonoid ↔ x ∈ s := iff.rfl
@[simp] lemma coe_to_submonoid (s : subsemiring R) : (s.to_submonoid : set R) = s := rfl
@[simp] lemma mem_to_add_submonoid {s : subsemiring R} {x : R} :
x ∈ s.to_add_submonoid ↔ x ∈ s := iff.rfl
@[simp] lemma coe_to_add_submonoid (s : subsemiring R) : (s.to_add_submonoid : set R) = s := rfl
/-- The subsemiring `R` of the semiring `R`. -/
instance : has_top (subsemiring R) :=
⟨{ .. (⊤ : submonoid R), .. (⊤ : add_submonoid R) }⟩
@[simp] lemma mem_top (x : R) : x ∈ (⊤ : subsemiring R) := set.mem_univ x
@[simp] lemma coe_top : ((⊤ : subsemiring R) : set R) = set.univ := rfl
/-- The preimage of a subsemiring along a ring homomorphism is a subsemiring. -/
def comap (f : R →+* S) (s : subsemiring S) : subsemiring R :=
{ carrier := f ⁻¹' s,
.. s.to_submonoid.comap (f : R →* S), .. s.to_add_submonoid.comap (f : R →+ S) }
@[simp] lemma coe_comap (s : subsemiring S) (f : R →+* S) : (s.comap f : set R) = f ⁻¹' s := rfl
@[simp]
lemma mem_comap {s : subsemiring S} {f : R →+* S} {x : R} : x ∈ s.comap f ↔ f x ∈ s := iff.rfl
lemma comap_comap (s : subsemiring T) (g : S →+* T) (f : R →+* S) :
(s.comap g).comap f = s.comap (g.comp f) :=
rfl
/-- The image of a subsemiring along a ring homomorphism is a subsemiring. -/
def map (f : R →+* S) (s : subsemiring R) : subsemiring S :=
{ carrier := f '' s,
.. s.to_submonoid.map (f : R →* S), .. s.to_add_submonoid.map (f : R →+ S) }
@[simp] lemma coe_map (f : R →+* S) (s : subsemiring R) : (s.map f : set S) = f '' s := rfl
@[simp] lemma mem_map {f : R →+* S} {s : subsemiring R} {y : S} :
y ∈ s.map f ↔ ∃ x ∈ s, f x = y :=
set.mem_image_iff_bex
@[simp] lemma map_id : s.map (ring_hom.id R) = s :=
set_like.coe_injective $ set.image_id _
lemma map_map (g : S →+* T) (f : R →+* S) : (s.map f).map g = s.map (g.comp f) :=
set_like.coe_injective $ set.image_image _ _ _
lemma map_le_iff_le_comap {f : R →+* S} {s : subsemiring R} {t : subsemiring S} :
s.map f ≤ t ↔ s ≤ t.comap f :=
set.image_subset_iff
lemma gc_map_comap (f : R →+* S) : galois_connection (map f) (comap f) :=
λ S T, map_le_iff_le_comap
/-- A subsemiring is isomorphic to its image under an injective function -/
noncomputable def equiv_map_of_injective
(f : R →+* S) (hf : function.injective f) : s ≃+* s.map f :=
{ map_mul' := λ _ _, subtype.ext (f.map_mul _ _),
map_add' := λ _ _, subtype.ext (f.map_add _ _),
..equiv.set.image f s hf }
@[simp] lemma coe_equiv_map_of_injective_apply
(f : R →+* S) (hf : function.injective f) (x : s) :
(equiv_map_of_injective s f hf x : S) = f x := rfl
end subsemiring
namespace ring_hom
variables (g : S →+* T) (f : R →+* S)
/-- The range of a ring homomorphism is a subsemiring. See Note [range copy pattern]. -/
def srange : subsemiring S :=
((⊤ : subsemiring R).map f).copy (set.range f) set.image_univ.symm
@[simp] lemma coe_srange : (f.srange : set S) = set.range f := rfl
@[simp] lemma mem_srange {f : R →+* S} {y : S} : y ∈ f.srange ↔ ∃ x, f x = y :=
iff.rfl
lemma srange_eq_map (f : R →+* S) : f.srange = (⊤ : subsemiring R).map f :=
by { ext, simp }
lemma mem_srange_self (f : R →+* S) (x : R) : f x ∈ f.srange :=
mem_srange.mpr ⟨x, rfl⟩
lemma map_srange : f.srange.map g = (g.comp f).srange :=
by simpa only [srange_eq_map] using (⊤ : subsemiring R).map_map g f
/-- The range of a morphism of semirings is a fintype, if the domain is a fintype.
Note: this instance can form a diamond with `subtype.fintype` in the
presence of `fintype S`.-/
instance fintype_srange [fintype R] [decidable_eq S] (f : R →+* S) : fintype (srange f) :=
set.fintype_range f
end ring_hom
namespace subsemiring
instance : has_bot (subsemiring R) := ⟨(nat.cast_ring_hom R).srange⟩
instance : inhabited (subsemiring R) := ⟨⊥⟩
lemma coe_bot : ((⊥ : subsemiring R) : set R) = set.range (coe : ℕ → R) :=
(nat.cast_ring_hom R).coe_srange
lemma mem_bot {x : R} : x ∈ (⊥ : subsemiring R) ↔ ∃ n : ℕ, ↑n=x := ring_hom.mem_srange
/-- The inf of two subsemirings is their intersection. -/
instance : has_inf (subsemiring R) :=
⟨λ s t,
{ carrier := s ∩ t,
.. s.to_submonoid ⊓ t.to_submonoid,
.. s.to_add_submonoid ⊓ t.to_add_submonoid }⟩
@[simp] lemma coe_inf (p p' : subsemiring R) : ((p ⊓ p' : subsemiring R) : set R) = p ∩ p' := rfl
@[simp] lemma mem_inf {p p' : subsemiring R} {x : R} : x ∈ p ⊓ p' ↔ x ∈ p ∧ x ∈ p' := iff.rfl
instance : has_Inf (subsemiring R) :=
⟨λ s, subsemiring.mk' (⋂ t ∈ s, ↑t) (⨅ t ∈ s, subsemiring.to_submonoid t) (by simp)
(⨅ t ∈ s, subsemiring.to_add_submonoid t) (by simp)⟩
@[simp, norm_cast] lemma coe_Inf (S : set (subsemiring R)) :
((Inf S : subsemiring R) : set R) = ⋂ s ∈ S, ↑s := rfl
lemma mem_Inf {S : set (subsemiring R)} {x : R} : x ∈ Inf S ↔ ∀ p ∈ S, x ∈ p := set.mem_bInter_iff
@[simp] lemma Inf_to_submonoid (s : set (subsemiring R)) :
(Inf s).to_submonoid = ⨅ t ∈ s, subsemiring.to_submonoid t :=
mk'_to_submonoid _ _
@[simp] lemma Inf_to_add_submonoid (s : set (subsemiring R)) :
(Inf s).to_add_submonoid = ⨅ t ∈ s, subsemiring.to_add_submonoid t :=
mk'_to_add_submonoid _ _
/-- Subsemirings of a semiring form a complete lattice. -/
instance : complete_lattice (subsemiring R) :=
{ bot := (⊥),
bot_le := λ s x hx, let ⟨n, hn⟩ := mem_bot.1 hx in hn ▸ s.coe_nat_mem n,
top := (⊤),
le_top := λ s x hx, trivial,
inf := (⊓),
inf_le_left := λ s t x, and.left,
inf_le_right := λ s t x, and.right,
le_inf := λ s t₁ t₂ h₁ h₂ x hx, ⟨h₁ hx, h₂ hx⟩,
.. complete_lattice_of_Inf (subsemiring R)
(λ s, is_glb.of_image (λ s t,
show (s : set R) ≤ t ↔ s ≤ t, from set_like.coe_subset_coe) is_glb_binfi)}
lemma eq_top_iff' (A : subsemiring R) : A = ⊤ ↔ ∀ x : R, x ∈ A :=
eq_top_iff.trans ⟨λ h m, h $ mem_top m, λ h m _, h m⟩
section
/-- The center of a semiring `R` is the set of elements that commute with everything in `R` -/
def center (R) [semiring R] : subsemiring R :=
{ carrier := set.center R,
zero_mem' := set.zero_mem_center R,
add_mem' := λ a b, set.add_mem_center,
.. submonoid.center R }
lemma coe_center (R) [semiring R] : ↑(center R) = set.center R := rfl
@[simp]
lemma center_to_submonoid (R) [semiring R] : (center R).to_submonoid = submonoid.center R := rfl
lemma mem_center_iff {R} [semiring R] {z : R} : z ∈ center R ↔ ∀ g, g * z = z * g :=
iff.rfl
@[simp] lemma center_eq_top (R) [comm_semiring R] : center R = ⊤ :=
set_like.coe_injective (set.center_eq_univ R)
/-- The center is commutative. -/
instance {R} [semiring R] : comm_semiring (center R) :=
{ ..submonoid.center.comm_monoid,
..(center R).to_semiring}
end
/-- The `subsemiring` generated by a set. -/
def closure (s : set R) : subsemiring R := Inf {S | s ⊆ S}
lemma mem_closure {x : R} {s : set R} : x ∈ closure s ↔ ∀ S : subsemiring R, s ⊆ S → x ∈ S :=
mem_Inf
/-- The subsemiring generated by a set includes the set. -/
@[simp] lemma subset_closure {s : set R} : s ⊆ closure s := λ x hx, mem_closure.2 $ λ S hS, hS hx
/-- A subsemiring `S` includes `closure s` if and only if it includes `s`. -/
@[simp]
lemma closure_le {s : set R} {t : subsemiring R} : closure s ≤ t ↔ s ⊆ t :=
⟨set.subset.trans subset_closure, λ h, Inf_le h⟩
/-- Subsemiring closure of a set is monotone in its argument: if `s ⊆ t`,
then `closure s ≤ closure t`. -/
lemma closure_mono ⦃s t : set R⦄ (h : s ⊆ t) : closure s ≤ closure t :=
closure_le.2 $ set.subset.trans h subset_closure
lemma closure_eq_of_le {s : set R} {t : subsemiring R} (h₁ : s ⊆ t) (h₂ : t ≤ closure s) :
closure s = t :=
le_antisymm (closure_le.2 h₁) h₂
lemma mem_map_equiv {f : R ≃+* S} {K : subsemiring R} {x : S} :
x ∈ K.map (f : R →+* S) ↔ f.symm x ∈ K :=
@set.mem_image_equiv _ _ ↑K f.to_equiv x
lemma map_equiv_eq_comap_symm (f : R ≃+* S) (K : subsemiring R) :
K.map (f : R →+* S) = K.comap f.symm :=
set_like.coe_injective (f.to_equiv.image_eq_preimage K)
lemma comap_equiv_eq_map_symm (f : R ≃+* S) (K : subsemiring S) :
K.comap (f : R →+* S) = K.map f.symm :=
(map_equiv_eq_comap_symm f.symm K).symm
end subsemiring
namespace submonoid
/-- The additive closure of a submonoid is a subsemiring. -/
def subsemiring_closure (M : submonoid R) : subsemiring R :=
{ one_mem' := add_submonoid.mem_closure.mpr (λ y hy, hy M.one_mem),
mul_mem' := λ x y, M.mul_mem_add_closure,
..add_submonoid.closure (M : set R)}
lemma subsemiring_closure_coe :
(M.subsemiring_closure : set R) = add_submonoid.closure (M : set R) := rfl
lemma subsemiring_closure_to_add_submonoid :
M.subsemiring_closure.to_add_submonoid = add_submonoid.closure (M : set R) := rfl
/-- The `subsemiring` generated by a multiplicative submonoid coincides with the
`subsemiring.closure` of the submonoid itself . -/
lemma subsemiring_closure_eq_closure : M.subsemiring_closure = subsemiring.closure (M : set R) :=
begin
ext,
refine ⟨λ hx, _, λ hx, (subsemiring.mem_closure.mp hx) M.subsemiring_closure (λ s sM, _)⟩;
rintros - ⟨H1, rfl⟩;
rintros - ⟨H2, rfl⟩,
{ exact add_submonoid.mem_closure.mp hx H1.to_add_submonoid H2 },
{ exact H2 sM }
end
end submonoid
namespace subsemiring
@[simp]
lemma closure_submonoid_closure (s : set R) : closure ↑(submonoid.closure s) = closure s :=
le_antisymm
(closure_le.mpr (λ y hy, (submonoid.mem_closure.mp hy) (closure s).to_submonoid subset_closure))
(closure_mono (submonoid.subset_closure))
/-- The elements of the subsemiring closure of `M` are exactly the elements of the additive closure
of a multiplicative submonoid `M`. -/
lemma coe_closure_eq (s : set R) :
(closure s : set R) = add_submonoid.closure (submonoid.closure s : set R) :=
by simp [← submonoid.subsemiring_closure_to_add_submonoid, submonoid.subsemiring_closure_eq_closure]
lemma mem_closure_iff {s : set R} {x} :
x ∈ closure s ↔ x ∈ add_submonoid.closure (submonoid.closure s : set R) :=
set.ext_iff.mp (coe_closure_eq s) x
@[simp]
lemma closure_add_submonoid_closure {s : set R} : closure ↑(add_submonoid.closure s) = closure s :=
begin
ext x,
refine ⟨λ hx, _, λ hx, closure_mono add_submonoid.subset_closure hx⟩,
rintros - ⟨H, rfl⟩,
rintros - ⟨J, rfl⟩,
refine (add_submonoid.mem_closure.mp (mem_closure_iff.mp hx)) H.to_add_submonoid (λ y hy, _),
refine (submonoid.mem_closure.mp hy) H.to_submonoid (λ z hz, _),
exact (add_submonoid.mem_closure.mp hz) H.to_add_submonoid (λ w hw, J hw),
end
/-- An induction principle for closure membership. If `p` holds for `0`, `1`, and all elements
of `s`, and is preserved under addition and multiplication, then `p` holds for all elements
of the closure of `s`. -/
@[elab_as_eliminator]
lemma closure_induction {s : set R} {p : R → Prop} {x} (h : x ∈ closure s)
(Hs : ∀ x ∈ s, p x) (H0 : p 0) (H1 : p 1)
(Hadd : ∀ x y, p x → p y → p (x + y)) (Hmul : ∀ x y, p x → p y → p (x * y)) : p x :=
(@closure_le _ _ _ ⟨p, H1, Hmul, H0, Hadd⟩).2 Hs h
lemma mem_closure_iff_exists_list {R} [semiring R] {s : set R} {x} : x ∈ closure s ↔
∃ L : list (list R), (∀ t ∈ L, ∀ y ∈ t, y ∈ s) ∧ (L.map list.prod).sum = x :=
⟨λ hx, add_submonoid.closure_induction (mem_closure_iff.1 hx)
(λ x hx, suffices ∃ t : list R, (∀ y ∈ t, y ∈ s) ∧ t.prod = x,
from let ⟨t, ht1, ht2⟩ := this in ⟨[t], list.forall_mem_singleton.2 ht1,
by rw [list.map_singleton, list.sum_singleton, ht2]⟩,
submonoid.closure_induction hx
(λ x hx, ⟨[x], list.forall_mem_singleton.2 hx, one_mul x⟩)
⟨[], list.forall_mem_nil _, rfl⟩
(λ x y ⟨t, ht1, ht2⟩ ⟨u, hu1, hu2⟩, ⟨t ++ u, list.forall_mem_append.2 ⟨ht1, hu1⟩,
by rw [list.prod_append, ht2, hu2]⟩))
⟨[], list.forall_mem_nil _, rfl⟩
(λ x y ⟨L, HL1, HL2⟩ ⟨M, HM1, HM2⟩, ⟨L ++ M, list.forall_mem_append.2 ⟨HL1, HM1⟩,
by rw [list.map_append, list.sum_append, HL2, HM2]⟩),
λ ⟨L, HL1, HL2⟩, HL2 ▸ list_sum_mem _ (λ r hr, let ⟨t, ht1, ht2⟩ := list.mem_map.1 hr in
ht2 ▸ list_prod_mem _ (λ y hy, subset_closure $ HL1 t ht1 y hy))⟩
variable (R)
/-- `closure` forms a Galois insertion with the coercion to set. -/
protected def gi : galois_insertion (@closure R _) coe :=
{ choice := λ s _, closure s,
gc := λ s t, closure_le,
le_l_u := λ s, subset_closure,
choice_eq := λ s h, rfl }
variable {R}
/-- Closure of a subsemiring `S` equals `S`. -/
lemma closure_eq (s : subsemiring R) : closure (s : set R) = s := (subsemiring.gi R).l_u_eq s
@[simp] lemma closure_empty : closure (∅ : set R) = ⊥ := (subsemiring.gi R).gc.l_bot
@[simp] lemma closure_univ : closure (set.univ : set R) = ⊤ := @coe_top R _ ▸ closure_eq ⊤
lemma closure_union (s t : set R) : closure (s ∪ t) = closure s ⊔ closure t :=
(subsemiring.gi R).gc.l_sup
lemma closure_Union {ι} (s : ι → set R) : closure (⋃ i, s i) = ⨆ i, closure (s i) :=
(subsemiring.gi R).gc.l_supr
lemma closure_sUnion (s : set (set R)) : closure (⋃₀ s) = ⨆ t ∈ s, closure t :=
(subsemiring.gi R).gc.l_Sup
lemma map_sup (s t : subsemiring R) (f : R →+* S) : (s ⊔ t).map f = s.map f ⊔ t.map f :=
(gc_map_comap f).l_sup
lemma map_supr {ι : Sort*} (f : R →+* S) (s : ι → subsemiring R) :
(supr s).map f = ⨆ i, (s i).map f :=
(gc_map_comap f).l_supr
lemma comap_inf (s t : subsemiring S) (f : R →+* S) : (s ⊓ t).comap f = s.comap f ⊓ t.comap f :=
(gc_map_comap f).u_inf
lemma comap_infi {ι : Sort*} (f : R →+* S) (s : ι → subsemiring S) :
(infi s).comap f = ⨅ i, (s i).comap f :=
(gc_map_comap f).u_infi
@[simp] lemma map_bot (f : R →+* S) : (⊥ : subsemiring R).map f = ⊥ :=
(gc_map_comap f).l_bot
@[simp] lemma comap_top (f : R →+* S) : (⊤ : subsemiring S).comap f = ⊤ :=
(gc_map_comap f).u_top
/-- Given `subsemiring`s `s`, `t` of semirings `R`, `S` respectively, `s.prod t` is `s × t`
as a subsemiring of `R × S`. -/
def prod (s : subsemiring R) (t : subsemiring S) : subsemiring (R × S) :=
{ carrier := (s : set R).prod t,
.. s.to_submonoid.prod t.to_submonoid, .. s.to_add_submonoid.prod t.to_add_submonoid}
@[norm_cast]
lemma coe_prod (s : subsemiring R) (t : subsemiring S) :
(s.prod t : set (R × S)) = (s : set R).prod (t : set S) :=
rfl
lemma mem_prod {s : subsemiring R} {t : subsemiring S} {p : R × S} :
p ∈ s.prod t ↔ p.1 ∈ s ∧ p.2 ∈ t := iff.rfl
@[mono] lemma prod_mono ⦃s₁ s₂ : subsemiring R⦄ (hs : s₁ ≤ s₂) ⦃t₁ t₂ : subsemiring S⦄
(ht : t₁ ≤ t₂) : s₁.prod t₁ ≤ s₂.prod t₂ :=
set.prod_mono hs ht
lemma prod_mono_right (s : subsemiring R) : monotone (λ t : subsemiring S, s.prod t) :=
prod_mono (le_refl s)
lemma prod_mono_left (t : subsemiring S) : monotone (λ s : subsemiring R, s.prod t) :=
λ s₁ s₂ hs, prod_mono hs (le_refl t)
lemma prod_top (s : subsemiring R) :
s.prod (⊤ : subsemiring S) = s.comap (ring_hom.fst R S) :=
ext $ λ x, by simp [mem_prod, monoid_hom.coe_fst]
lemma top_prod (s : subsemiring S) :
(⊤ : subsemiring R).prod s = s.comap (ring_hom.snd R S) :=
ext $ λ x, by simp [mem_prod, monoid_hom.coe_snd]
@[simp]
lemma top_prod_top : (⊤ : subsemiring R).prod (⊤ : subsemiring S) = ⊤ :=
(top_prod _).trans $ comap_top _
/-- Product of subsemirings is isomorphic to their product as monoids. -/
def prod_equiv (s : subsemiring R) (t : subsemiring S) : s.prod t ≃+* s × t :=
{ map_mul' := λ x y, rfl, map_add' := λ x y, rfl, .. equiv.set.prod ↑s ↑t }
lemma mem_supr_of_directed {ι} [hι : nonempty ι] {S : ι → subsemiring R} (hS : directed (≤) S)
{x : R} :
x ∈ (⨆ i, S i) ↔ ∃ i, x ∈ S i :=
begin
refine ⟨_, λ ⟨i, hi⟩, (set_like.le_def.1 $ le_supr S i) hi⟩,
let U : subsemiring R := subsemiring.mk' (⋃ i, (S i : set R))
(⨆ i, (S i).to_submonoid) (submonoid.coe_supr_of_directed $ hS.mono_comp _ (λ _ _, id))
(⨆ i, (S i).to_add_submonoid) (add_submonoid.coe_supr_of_directed $ hS.mono_comp _ (λ _ _, id)),
suffices : (⨆ i, S i) ≤ U, by simpa using @this x,
exact supr_le (λ i x hx, set.mem_Union.2 ⟨i, hx⟩),
end
lemma coe_supr_of_directed {ι} [hι : nonempty ι] {S : ι → subsemiring R} (hS : directed (≤) S) :
((⨆ i, S i : subsemiring R) : set R) = ⋃ i, ↑(S i) :=
set.ext $ λ x, by simp [mem_supr_of_directed hS]
lemma mem_Sup_of_directed_on {S : set (subsemiring R)} (Sne : S.nonempty)
(hS : directed_on (≤) S) {x : R} :
x ∈ Sup S ↔ ∃ s ∈ S, x ∈ s :=
begin
haveI : nonempty S := Sne.to_subtype,
simp only [Sup_eq_supr', mem_supr_of_directed hS.directed_coe, set_coe.exists, subtype.coe_mk]
end
lemma coe_Sup_of_directed_on {S : set (subsemiring R)} (Sne : S.nonempty) (hS : directed_on (≤) S) :
(↑(Sup S) : set R) = ⋃ s ∈ S, ↑s :=
set.ext $ λ x, by simp [mem_Sup_of_directed_on Sne hS]
end subsemiring
namespace ring_hom
variables [non_assoc_semiring T] {s : subsemiring R}
open subsemiring
/-- Restriction of a ring homomorphism to a subsemiring of the domain. -/
def srestrict (f : R →+* S) (s : subsemiring R) : s →+* S := f.comp s.subtype
@[simp] lemma srestrict_apply (f : R →+* S) (x : s) : f.srestrict s x = f x := rfl
/-- Restriction of a ring homomorphism to a subsemiring of the codomain. -/
def cod_srestrict (f : R →+* S) (s : subsemiring S) (h : ∀ x, f x ∈ s) : R →+* s :=
{ to_fun := λ n, ⟨f n, h n⟩,
.. (f : R →* S).cod_mrestrict s.to_submonoid h,
.. (f : R →+ S).cod_mrestrict s.to_add_submonoid h }
/-- Restriction of a ring homomorphism to its range interpreted as a subsemiring.
This is the bundled version of `set.range_factorization`. -/
def srange_restrict (f : R →+* S) : R →+* f.srange :=
f.cod_srestrict f.srange f.mem_srange_self
@[simp] lemma coe_srange_restrict (f : R →+* S) (x : R) :
(f.srange_restrict x : S) = f x :=
rfl
lemma srange_restrict_surjective (f : R →+* S) : function.surjective f.srange_restrict :=
λ ⟨y, hy⟩, let ⟨x, hx⟩ := mem_srange.mp hy in ⟨x, subtype.ext hx⟩
lemma srange_top_iff_surjective {f : R →+* S} :
f.srange = (⊤ : subsemiring S) ↔ function.surjective f :=
set_like.ext'_iff.trans $ iff.trans (by rw [coe_srange, coe_top]) set.range_iff_surjective
/-- The range of a surjective ring homomorphism is the whole of the codomain. -/
lemma srange_top_of_surjective (f : R →+* S) (hf : function.surjective f) :
f.srange = (⊤ : subsemiring S) :=
srange_top_iff_surjective.2 hf
/-- The subsemiring of elements `x : R` such that `f x = g x` -/
def eq_slocus (f g : R →+* S) : subsemiring R :=
{ carrier := {x | f x = g x}, .. (f : R →* S).eq_mlocus g, .. (f : R →+ S).eq_mlocus g }
/-- If two ring homomorphisms are equal on a set, then they are equal on its subsemiring closure. -/
lemma eq_on_sclosure {f g : R →+* S} {s : set R} (h : set.eq_on f g s) :
set.eq_on f g (closure s) :=
show closure s ≤ f.eq_slocus g, from closure_le.2 h
lemma eq_of_eq_on_stop {f g : R →+* S} (h : set.eq_on f g (⊤ : subsemiring R)) :
f = g :=
ext $ λ x, h trivial
lemma eq_of_eq_on_sdense {s : set R} (hs : closure s = ⊤) {f g : R →+* S} (h : s.eq_on f g) :
f = g :=
eq_of_eq_on_stop $ hs ▸ eq_on_sclosure h
lemma sclosure_preimage_le (f : R →+* S) (s : set S) :
closure (f ⁻¹' s) ≤ (closure s).comap f :=
closure_le.2 $ λ x hx, set_like.mem_coe.2 $ mem_comap.2 $ subset_closure hx
/-- The image under a ring homomorphism of the subsemiring generated by a set equals
the subsemiring generated by the image of the set. -/
lemma map_sclosure (f : R →+* S) (s : set R) :
(closure s).map f = closure (f '' s) :=
le_antisymm
(map_le_iff_le_comap.2 $ le_trans (closure_mono $ set.subset_preimage_image _ _)
(sclosure_preimage_le _ _))
(closure_le.2 $ set.image_subset _ subset_closure)
end ring_hom
namespace subsemiring
open ring_hom
/-- The ring homomorphism associated to an inclusion of subsemirings. -/
def inclusion {S T : subsemiring R} (h : S ≤ T) : S →* T :=
S.subtype.cod_srestrict _ (λ x, h x.2)
@[simp] lemma srange_subtype (s : subsemiring R) : s.subtype.srange = s :=
set_like.coe_injective $ (coe_srange _).trans subtype.range_coe
@[simp]
lemma range_fst : (fst R S).srange = ⊤ :=
(fst R S).srange_top_of_surjective $ prod.fst_surjective
@[simp]
lemma range_snd : (snd R S).srange = ⊤ :=
(snd R S).srange_top_of_surjective $ prod.snd_surjective
@[simp]
lemma prod_bot_sup_bot_prod (s : subsemiring R) (t : subsemiring S) :
(s.prod ⊥) ⊔ (prod ⊥ t) = s.prod t :=
le_antisymm (sup_le (prod_mono_right s bot_le) (prod_mono_left t bot_le)) $
assume p hp, prod.fst_mul_snd p ▸ mul_mem _
((le_sup_left : s.prod ⊥ ≤ s.prod ⊥ ⊔ prod ⊥ t) ⟨hp.1, set_like.mem_coe.2 $ one_mem ⊥⟩)
((le_sup_right : prod ⊥ t ≤ s.prod ⊥ ⊔ prod ⊥ t) ⟨set_like.mem_coe.2 $ one_mem ⊥, hp.2⟩)
end subsemiring
namespace ring_equiv
variables {s t : subsemiring R}
/-- Makes the identity isomorphism from a proof two subsemirings of a multiplicative
monoid are equal. -/
def subsemiring_congr (h : s = t) : s ≃+* t :=
{ map_mul' := λ _ _, rfl, map_add' := λ _ _, rfl, ..equiv.set_congr $ congr_arg _ h }
/-- Restrict a ring homomorphism with a left inverse to a ring isomorphism to its
`ring_hom.srange`. -/
def sof_left_inverse {g : S → R} {f : R →+* S} (h : function.left_inverse g f) :
R ≃+* f.srange :=
{ to_fun := λ x, f.srange_restrict x,
inv_fun := λ x, (g ∘ f.srange.subtype) x,
left_inv := h,
right_inv := λ x, subtype.ext $
let ⟨x', hx'⟩ := ring_hom.mem_srange.mp x.prop in
show f (g x) = x, by rw [←hx', h x'],
..f.srange_restrict }
@[simp] lemma sof_left_inverse_apply
{g : S → R} {f : R →+* S} (h : function.left_inverse g f) (x : R) :
↑(sof_left_inverse h x) = f x := rfl
@[simp] lemma sof_left_inverse_symm_apply
{g : S → R} {f : R →+* S} (h : function.left_inverse g f) (x : f.srange) :
(sof_left_inverse h).symm x = g x := rfl
end ring_equiv
/-! ### Actions by `subsemiring`s
These are just copies of the definitions about `submonoid` starting from `submonoid.mul_action`.
The only new result is `subsemiring.module`.
When `R` is commutative, `algebra.of_subsemiring` provides a stronger result than those found in
this file, which uses the same scalar action.
-/
section actions
namespace subsemiring
variables {R' α β : Type*} [semiring R']
/-- The action by a subsemiring is the action by the underlying semiring. -/
instance [mul_action R' α] (S : subsemiring R') : mul_action S α :=
S.to_submonoid.mul_action
lemma smul_def [mul_action R' α] {S : subsemiring R'} (g : S) (m : α) : g • m = (g : R') • m := rfl
instance smul_comm_class_left
[mul_action R' β] [has_scalar α β] [smul_comm_class R' α β] (S : subsemiring R') :
smul_comm_class S α β :=
S.to_submonoid.smul_comm_class_left
instance smul_comm_class_right
[has_scalar α β] [mul_action R' β] [smul_comm_class α R' β] (S : subsemiring R') :
smul_comm_class α S β :=
S.to_submonoid.smul_comm_class_right
/-- Note that this provides `is_scalar_tower S R R` which is needed by `smul_mul_assoc`. -/
instance
[has_scalar α β] [mul_action R' α] [mul_action R' β] [is_scalar_tower R' α β]
(S : subsemiring R') :
is_scalar_tower S α β :=
S.to_submonoid.is_scalar_tower
instance [mul_action R' α] [has_faithful_scalar R' α] (S : subsemiring R') :
has_faithful_scalar S α :=
S.to_submonoid.has_faithful_scalar
/-- The action by a subsemiring is the action by the underlying semiring. -/
instance [add_monoid α] [distrib_mul_action R' α] (S : subsemiring R') : distrib_mul_action S α :=
S.to_submonoid.distrib_mul_action
/-- The action by a subsemiring is the action by the underlying semiring. -/
instance [monoid α] [mul_distrib_mul_action R' α] (S : subsemiring R') :
mul_distrib_mul_action S α :=
S.to_submonoid.mul_distrib_mul_action
/-- The action by a subsemiring is the action by the underlying semiring. -/
instance [add_comm_monoid α] [module R' α] (S : subsemiring R') : module S α :=
{ smul := (•), .. module.comp_hom _ S.subtype }
end subsemiring
end actions
-- While this definition is not about `subsemiring`s, this is the earliest we have
-- both `ordered_semiring` and `submonoid` available.
/-- Submonoid of positive elements of an ordered semiring. -/
def pos_submonoid (R : Type*) [ordered_semiring R] [nontrivial R] : submonoid R :=
{ carrier := {x | 0 < x},
one_mem' := show (0 : R) < 1, from zero_lt_one,
mul_mem' := λ x y (hx : 0 < x) (hy : 0 < y), mul_pos hx hy }
@[simp] lemma mem_pos_monoid {R : Type*} [ordered_semiring R] [nontrivial R] (u : units R) :
↑u ∈ pos_submonoid R ↔ (0 : R) < u := iff.rfl
|
e8dcc4204fac8c0d090b3147aecfe4cde8b80b4c | 00de0c30dd1b090ed139f65c82ea6deb48c3f4c2 | /src/analysis/normed_space/complemented.lean | a7e6786b6ea7da94011f6ff9113bd4af32809deb | [
"Apache-2.0"
] | permissive | paulvanwamelen/mathlib | 4b9c5c19eec71b475f3dd515cd8785f1c8515f26 | 79e296bdc9f83b9447dc1b81730d36f63a99f72d | refs/heads/master | 1,667,766,172,625 | 1,590,239,595,000 | 1,590,239,595,000 | 266,392,625 | 0 | 0 | Apache-2.0 | 1,590,257,277,000 | 1,590,257,277,000 | null | UTF-8 | Lean | false | false | 4,299 | lean | /-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Yury Kudryashov
-/
import analysis.normed_space.banach
import analysis.normed_space.finite_dimension
/-!
# Complemented subspaces of normed vector spaces
A submodule `p` of a topological module `E` over `R` is called *complemented* if there exists
a continuous linear projection `f : E →ₗ[R] p`, `∀ x : p, f x = x`. We prove that for
a closed subspace of a normed space this condition is equivalent to existence of a closed
subspace `q` such that `p ⊓ q = ⊥`, `p ⊔ q = ⊤`. We also prove that a subspace of finite codimension
is always a complemented subspace.
## Tags
complemented subspace, normed vector space
-/
variables {𝕜 : Type*} [nondiscrete_normed_field 𝕜] {E : Type*} [normed_group E] [normed_space 𝕜 E]
{F : Type*} [normed_group F] [normed_space 𝕜 F]
noncomputable theory
namespace continuous_linear_map
variables [complete_space 𝕜]
lemma ker_closed_complemented_of_finite_dimensional_range (f : E →L[𝕜] F)
[finite_dimensional 𝕜 f.range] :
f.ker.closed_complemented :=
begin
set f' : E →L[𝕜] f.range := f.cod_restrict _ (f : E →ₗ[𝕜] F).mem_range_self,
rcases f'.exists_right_inverse_of_surjective (f : E →ₗ[𝕜] F).range_range_restrict with ⟨g, hg⟩,
simpa only [ker_cod_restrict] using f'.closed_complemented_ker_of_right_inverse g (ext_iff.1 hg)
end
end continuous_linear_map
namespace subspace
variables [complete_space E] (p q : subspace 𝕜 E)
open continuous_linear_map (subtype_val)
/-- If `q` is a closed complement of a closed subspace `p`, then `p × q` is continuously
isomorphic to `E`. -/
def prod_equiv_of_closed_compl (h : is_compl p q) (hp : is_closed (p : set E))
(hq : is_closed (q : set E)) : (p × q) ≃L[𝕜] E :=
begin
haveI := hp.complete_space_coe, haveI := hq.complete_space_coe,
refine (p.prod_equiv_of_is_compl q h).to_continuous_linear_equiv_of_continuous _,
exact ((subtype_val p).coprod (subtype_val q)).continuous
end
/-- Projection to a closed submodule along a closed complement. -/
def linear_proj_of_closed_compl (h : is_compl p q) (hp : is_closed (p : set E))
(hq : is_closed (q : set E)) :
E →L[𝕜] p :=
(continuous_linear_map.fst 𝕜 p q).comp $ (prod_equiv_of_closed_compl p q h hp hq).symm
variables {p q}
@[simp] lemma coe_prod_equiv_of_closed_compl (h : is_compl p q) (hp : is_closed (p : set E))
(hq : is_closed (q : set E)) :
⇑(p.prod_equiv_of_closed_compl q h hp hq) = p.prod_equiv_of_is_compl q h := rfl
@[simp] lemma coe_prod_equiv_of_closed_compl_symm (h : is_compl p q) (hp : is_closed (p : set E))
(hq : is_closed (q : set E)) :
⇑(p.prod_equiv_of_closed_compl q h hp hq).symm = (p.prod_equiv_of_is_compl q h).symm := rfl
@[simp] lemma coe_continuous_linear_proj_of_closed_compl (h : is_compl p q)
(hp : is_closed (p : set E)) (hq : is_closed (q : set E)) :
(p.linear_proj_of_closed_compl q h hp hq : E →ₗ[𝕜] p) = p.linear_proj_of_is_compl q h := rfl
@[simp] lemma coe_continuous_linear_proj_of_closed_compl' (h : is_compl p q)
(hp : is_closed (p : set E)) (hq : is_closed (q : set E)) :
⇑(p.linear_proj_of_closed_compl q h hp hq) = p.linear_proj_of_is_compl q h := rfl
lemma closed_complemented_of_closed_compl (h : is_compl p q) (hp : is_closed (p : set E))
(hq : is_closed (q : set E)) : p.closed_complemented :=
⟨p.linear_proj_of_closed_compl q h hp hq, submodule.linear_proj_of_is_compl_apply_left h⟩
lemma closed_complemented_iff_has_closed_compl : p.closed_complemented ↔
is_closed (p : set E) ∧ ∃ (q : subspace 𝕜 E) (hq : is_closed (q : set E)), is_compl p q :=
⟨λ h, ⟨h.is_closed, h.has_closed_complement⟩,
λ ⟨hp, ⟨q, hq, hpq⟩⟩, closed_complemented_of_closed_compl hpq hp hq⟩
lemma closed_complemented_of_quotient_finite_dimensional [complete_space 𝕜]
[finite_dimensional 𝕜 p.quotient] (hp : is_closed (p : set E)) :
p.closed_complemented :=
begin
obtain ⟨q, hq⟩ : ∃ q, is_compl p q := p.exists_is_compl,
haveI : finite_dimensional 𝕜 q := (p.quotient_equiv_of_is_compl q hq).finite_dimensional,
exact closed_complemented_of_closed_compl hq hp q.closed_of_finite_dimensional
end
end subspace
|
f0364caec6297d649c6116c8cc72b0b18d107261 | 7cef822f3b952965621309e88eadf618da0c8ae9 | /src/tactic/well_founded_tactics.lean | 23a51072c3290b49496cd19525283d0e0a5a0ce0 | [
"Apache-2.0"
] | permissive | rmitta/mathlib | 8d90aee30b4db2b013e01f62c33f297d7e64a43d | 883d974b608845bad30ae19e27e33c285200bf84 | refs/heads/master | 1,585,776,832,544 | 1,576,874,096,000 | 1,576,874,096,000 | 153,663,165 | 0 | 2 | Apache-2.0 | 1,544,806,490,000 | 1,539,884,365,000 | Lean | UTF-8 | Lean | false | false | 1,157 | lean | /-
Copyright (c) 2017 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
/-!
Replacement for the definition of `well_founded_tactics.default_dec_tac` in core.
-/
namespace well_founded_tactics
open tactic
/--
The definition of `default_dec_tac` in core is broken, because `unfold_sizeof`
could actually discharge the goal.
Here we add a test using `done` to detect this.
-/
meta def default_dec_tac' : tactic unit :=
abstract $
do clear_internals,
unfold_wf_rel,
process_lex (unfold_sizeof >> (done <|> (cancel_nat_add_lt >> trivial_nat_lt)))
end well_founded_tactics
/--
The default `well_founded_tactics` provided in core are broken in some situations, often indicated
by the message
```
The nested exception contains the failure state for the decreasing tactic.
nested exception message:
tactic failed, there are no goals to be solved
state:
no goals
```
Use this replacement by adding
```
using_well_founded wf_tacs
```
at the end of your inductive definition.
-/
meta def wf_tacs : well_founded_tactics :=
{ dec_tac := well_founded_tactics.default_dec_tac' }
|
1f0a54280afaf07bdec3ed22b167a5a33250547e | 367134ba5a65885e863bdc4507601606690974c1 | /src/category_theory/discrete_category.lean | 71c68a25a2bae8d72992e5451119d37b04c1beb8 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 5,142 | lean | /-
Copyright (c) 2017 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Stephen Morgan, Scott Morrison, Floris van Doorn
-/
import category_theory.eq_to_hom
namespace category_theory
universes v₁ v₂ u₁ u₂ -- declare the `v`'s first; see `category_theory.category` for an explanation
/--
A type synonym for promoting any type to a category,
with the only morphisms being equalities.
-/
def discrete (α : Type u₁) := α
/--
The "discrete" category on a type, whose morphisms are equalities.
Because we do not allow morphisms in `Prop` (only in `Type`),
somewhat annoyingly we have to define `X ⟶ Y` as `ulift (plift (X = Y))`.
See https://stacks.math.columbia.edu/tag/001A
-/
instance discrete_category (α : Type u₁) : small_category (discrete α) :=
{ hom := λ X Y, ulift (plift (X = Y)),
id := λ X, ulift.up (plift.up rfl),
comp := λ X Y Z g f, by { rcases f with ⟨⟨rfl⟩⟩, exact g } }
namespace discrete
variables {α : Type u₁}
instance [inhabited α] : inhabited (discrete α) :=
by { dsimp [discrete], apply_instance }
instance [subsingleton α] : subsingleton (discrete α) :=
by { dsimp [discrete], apply_instance }
/-- Extract the equation from a morphism in a discrete category. -/
lemma eq_of_hom {X Y : discrete α} (i : X ⟶ Y) : X = Y := i.down.down
@[simp] lemma id_def (X : discrete α) : ulift.up (plift.up (eq.refl X)) = 𝟙 X := rfl
variables {C : Type u₂} [category.{v₂} C]
instance {I : Type u₁} {i j : discrete I} (f : i ⟶ j) : is_iso f :=
{ inv := eq_to_hom (eq_of_hom f).symm, }
/--
Any function `I → C` gives a functor `discrete I ⥤ C`.
-/
def functor {I : Type u₁} (F : I → C) : discrete I ⥤ C :=
{ obj := F,
map := λ X Y f, begin cases f, cases f, cases f, exact 𝟙 (F X) end }
@[simp] lemma functor_obj {I : Type u₁} (F : I → C) (i : I) :
(discrete.functor F).obj i = F i := rfl
lemma functor_map {I : Type u₁} (F : I → C) {i : discrete I} (f : i ⟶ i) :
(discrete.functor F).map f = 𝟙 (F i) :=
by { cases f, cases f, cases f, refl }
/--
For functors out of a discrete category,
a natural transformation is just a collection of maps,
as the naturality squares are trivial.
-/
def nat_trans {I : Type u₁} {F G : discrete I ⥤ C}
(f : Π i : discrete I, F.obj i ⟶ G.obj i) : F ⟶ G :=
{ app := f }
@[simp] lemma nat_trans_app {I : Type u₁} {F G : discrete I ⥤ C}
(f : Π i : discrete I, F.obj i ⟶ G.obj i) (i) : (discrete.nat_trans f).app i = f i :=
rfl
/--
For functors out of a discrete category,
a natural isomorphism is just a collection of isomorphisms,
as the naturality squares are trivial.
-/
def nat_iso {I : Type u₁} {F G : discrete I ⥤ C}
(f : Π i : discrete I, F.obj i ≅ G.obj i) : F ≅ G :=
nat_iso.of_components f (by tidy)
@[simp]
lemma nat_iso_hom_app {I : Type u₁} {F G : discrete I ⥤ C}
(f : Π i : discrete I, F.obj i ≅ G.obj i) (i : I) :
(discrete.nat_iso f).hom.app i = (f i).hom :=
rfl
@[simp]
lemma nat_iso_inv_app {I : Type u₁} {F G : discrete I ⥤ C}
(f : Π i : discrete I, F.obj i ≅ G.obj i) (i : I) :
(discrete.nat_iso f).inv.app i = (f i).inv :=
rfl
@[simp]
lemma nat_iso_app {I : Type u₁} {F G : discrete I ⥤ C}
(f : Π i : discrete I, F.obj i ≅ G.obj i) (i : I) :
(discrete.nat_iso f).app i = f i :=
by tidy
/-- Every functor `F` from a discrete category is naturally isomorphic (actually, equal) to
`discrete.functor (F.obj)`. -/
def nat_iso_functor {I : Type u₁} {F : discrete I ⥤ C} : F ≅ discrete.functor (F.obj) :=
nat_iso $ λ i, iso.refl _
/--
We can promote a type-level `equiv` to
an equivalence between the corresponding `discrete` categories.
-/
@[simps]
def equivalence {I J : Type u₁} (e : I ≃ J) : discrete I ≌ discrete J :=
{ functor := discrete.functor (e : I → J),
inverse := discrete.functor (e.symm : J → I),
unit_iso := discrete.nat_iso (λ i, eq_to_iso (by simp)),
counit_iso := discrete.nat_iso (λ j, eq_to_iso (by simp)), }
/-- We can convert an equivalence of `discrete` categories to a type-level `equiv`. -/
@[simps]
def equiv_of_equivalence {α β : Type u₁} (h : discrete α ≌ discrete β) : α ≃ β :=
{ to_fun := h.functor.obj,
inv_fun := h.inverse.obj,
left_inv := λ a, eq_of_hom (h.unit_iso.app a).2,
right_inv := λ a, eq_of_hom (h.counit_iso.app a).1 }
end discrete
namespace discrete
variables {J : Type v₁}
open opposite
/-- A discrete category is equivalent to its opposite category. -/
protected def opposite (α : Type u₁) : (discrete α)ᵒᵖ ≌ discrete α :=
let F : discrete α ⥤ (discrete α)ᵒᵖ := discrete.functor (λ x, op x) in
begin
refine equivalence.mk (functor.left_op F) F _ (discrete.nat_iso $ λ X, by simp [F]),
refine nat_iso.of_components (λ X, by simp [F]) _,
tidy
end
variables {C : Type u₂} [category.{v₂} C]
@[simp] lemma functor_map_id
(F : discrete J ⥤ C) {j : discrete J} (f : j ⟶ j) : F.map f = 𝟙 (F.obj j) :=
begin
have h : f = 𝟙 j, { cases f, cases f, ext, },
rw h,
simp,
end
end discrete
end category_theory
|
c65e044fd77dd35398d8ca7ffb4d041c3cbcff3f | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/data/fintype/list.lean | 2c9201bc56e31131734aaa9820b60c452331d682 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 2,014 | lean | /-
Copyright (c) 2021 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky
-/
import data.fintype.basic
import data.finset.powerset
/-!
# Fintype instance for nodup lists
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
The subtype of `{l : list α // l.nodup}` over a `[fintype α]`
admits a `fintype` instance.
## Implementation details
To construct the `fintype` instance, a function lifting a `multiset α`
to the `finset (list α)` that can construct it is provided.
This function is applied to the `finset.powerset` of `finset.univ`.
In general, a `decidable_eq` instance is not necessary to define this function,
but a proof of `(list.permutations l).nodup` is required to avoid it,
which is a TODO.
-/
variables {α : Type*} [decidable_eq α]
open list
namespace multiset
/--
The `finset` of `l : list α` that, given `m : multiset α`, have the property `⟦l⟧ = m`.
-/
def lists : multiset α → finset (list α) :=
λ s, quotient.lift_on s (λ l, l.permutations.to_finset)
(λ l l' (h : l ~ l'),
begin
ext sl,
simp only [mem_permutations, list.mem_to_finset],
exact ⟨λ hs, hs.trans h, λ hs, hs.trans h.symm⟩
end)
@[simp] lemma lists_coe (l : list α) :
lists (l : multiset α) = l.permutations.to_finset := rfl
@[simp] lemma mem_lists_iff (s : multiset α) (l : list α) :
l ∈ lists s ↔ s = ⟦l⟧ :=
begin
induction s using quotient.induction_on,
simpa using perm_comm
end
end multiset
instance fintype_nodup_list [fintype α] : fintype {l : list α // l.nodup} :=
fintype.subtype ((finset.univ : finset α).powerset.bUnion (λ s, s.val.lists)) (λ l,
begin
suffices : (∃ (a : finset α), a.val = ↑l) ↔ l.nodup,
{ simpa },
split,
{ rintro ⟨s, hs⟩,
simpa [←multiset.coe_nodup, ←hs] using s.nodup },
{ intro hl,
refine ⟨⟨↑l, hl⟩, _⟩,
simp }
end)
|
e914db9925753ad494bd125a0e6ba00b3c691c2a | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/category/fgModule/basic.lean | 118a4688f6a662cb6b02b0fc39985875a96b16af | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 7,197 | lean | /-
Copyright (c) 2021 Jakob von Raumer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jakob von Raumer
-/
import category_theory.monoidal.rigid.basic
import category_theory.monoidal.subcategory
import linear_algebra.coevaluation
import linear_algebra.free_module.finite.matrix
import algebra.category.Module.monoidal.closed
/-!
# The category of finitely generated modules over a ring
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This introduces `fgModule R`, the category of finitely generated modules over a ring `R`.
It is implemented as a full subcategory on a subtype of `Module R`.
When `K` is a field, `fgModule K` is the category of finite dimensional vector spaces over `K`.
We first create the instance as a preadditive category.
When `R` is commutative we then give the structure as an `R`-linear monoidal category.
When `R` is a field we give it the structure of a closed monoidal category
and then as a right-rigid monoidal category.
## Future work
* Show that `fgModule R` is abelian when `R` is (left)-noetherian.
-/
noncomputable theory
open category_theory Module.monoidal_category
open_locale classical big_operators
universes u
section ring
variables (R : Type u) [ring R]
/-- Define `fgModule` as the subtype of `Module.{u} R` of finitely generated modules. -/
@[derive [large_category, concrete_category, preadditive]]
def fgModule := full_subcategory (λ (V : Module.{u} R), module.finite R V)
end ring
namespace fgModule
section ring
variables (R : Type u) [ring R]
instance finite (V : fgModule R) : module.finite R V.obj := V.property
instance : inhabited (fgModule R) := ⟨⟨Module.of R R, module.finite.self R⟩⟩
/-- Lift an unbundled finitely generated module to `fgModule R`. -/
def of (V : Type u) [add_comm_group V] [module R V] [module.finite R V] : fgModule R :=
⟨Module.of R V, by { change module.finite R V, apply_instance }⟩
instance (V : fgModule R) : module.finite R V.obj := V.property
instance : has_forget₂ (fgModule.{u} R) (Module.{u} R) :=
by { dsimp [fgModule], apply_instance, }
instance : full (forget₂ (fgModule R) (Module.{u} R)) :=
{ preimage := λ X Y f, f, }
variables {R}
/-- Converts and isomorphism in the category `fgModule R` to a `linear_equiv` between the underlying
modules. -/
def iso_to_linear_equiv {V W : fgModule R} (i : V ≅ W) : V.obj ≃ₗ[R] W.obj :=
((forget₂ (fgModule.{u} R) (Module.{u} R)).map_iso i).to_linear_equiv
/-- Converts a `linear_equiv` to an isomorphism in the category `fgModule R`. -/
@[simps] def _root_.linear_equiv.to_fgModule_iso
{V W : Type u} [add_comm_group V] [module R V] [module.finite R V]
[add_comm_group W] [module R W] [module.finite R W]
(e : V ≃ₗ[R] W) :
fgModule.of R V ≅ fgModule.of R W :=
{ hom := e.to_linear_map,
inv := e.symm.to_linear_map,
hom_inv_id' := by {ext, exact e.left_inv x},
inv_hom_id' := by {ext, exact e.right_inv x} }
end ring
section comm_ring
variables (R : Type u) [comm_ring R]
instance : linear R (fgModule R) := by dsimp_result { dsimp [fgModule], apply_instance, }
instance monoidal_predicate_module_finite :
monoidal_category.monoidal_predicate (λ V : Module.{u} R, module.finite R V) :=
{ prop_id' := module.finite.self R,
prop_tensor' := λ X Y hX hY, by exactI module.finite.tensor_product R X Y }
instance : monoidal_category (fgModule R) :=
by dsimp_result { dsimp [fgModule], apply_instance, }
instance : symmetric_category (fgModule R) :=
by dsimp_result { dsimp [fgModule], apply_instance, }
instance : monoidal_preadditive (fgModule R) :=
by dsimp_result { dsimp [fgModule], apply_instance, }
instance : monoidal_linear R (fgModule R) :=
by dsimp_result { dsimp [fgModule], apply_instance, }
/-- The forgetful functor `fgModule R ⥤ Module R` as a monoidal functor. -/
def forget₂_monoidal : monoidal_functor (fgModule R) (Module.{u} R) :=
monoidal_category.full_monoidal_subcategory_inclusion _
instance forget₂_monoidal_faithful : faithful (forget₂_monoidal R).to_functor :=
by { dsimp [forget₂_monoidal], apply_instance, }
instance forget₂_monoidal_additive : (forget₂_monoidal R).to_functor.additive :=
by { dsimp [forget₂_monoidal], apply_instance, }
instance forget₂_monoidal_linear : (forget₂_monoidal R).to_functor.linear R :=
by { dsimp [forget₂_monoidal], apply_instance, }
lemma iso.conj_eq_conj {V W : fgModule R} (i : V ≅ W) (f : End V) :
iso.conj i f = linear_equiv.conj (iso_to_linear_equiv i) f := rfl
end comm_ring
section field
variables (K : Type u) [field K]
instance (V W : fgModule K) : module.finite K (V ⟶ W) :=
(by apply_instance : module.finite K (V.obj →ₗ[K] W.obj))
instance closed_predicate_module_finite :
monoidal_category.closed_predicate (λ V : Module.{u} K, module.finite K V) :=
{ prop_ihom' := λ X Y hX hY, by exactI @module.finite.linear_map K X Y _ _ _ _ _ _ _ hX hY }
instance : monoidal_closed (fgModule K) := by dsimp_result { dsimp [fgModule], apply_instance, }
variables (V W : fgModule K)
@[simp] lemma ihom_obj : (ihom V).obj W = fgModule.of K (V.obj →ₗ[K] W.obj) := rfl
/-- The dual module is the dual in the rigid monoidal category `fgModule K`. -/
def fgModule_dual : fgModule K :=
⟨Module.of K (module.dual K V.obj), subspace.module.dual.finite_dimensional⟩
open category_theory.monoidal_category
/-- The coevaluation map is defined in `linear_algebra.coevaluation`. -/
def fgModule_coevaluation : 𝟙_ (fgModule K) ⟶ V ⊗ (fgModule_dual K V) :=
by apply coevaluation K V.obj
lemma fgModule_coevaluation_apply_one : fgModule_coevaluation K V (1 : K) =
∑ (i : basis.of_vector_space_index K V.obj),
(basis.of_vector_space K V.obj) i ⊗ₜ[K] (basis.of_vector_space K V.obj).coord i :=
by apply coevaluation_apply_one K V.obj
/-- The evaluation morphism is given by the contraction map. -/
def fgModule_evaluation : (fgModule_dual K V) ⊗ V ⟶ 𝟙_ (fgModule K) :=
by apply contract_left K V.obj
@[simp]
lemma fgModule_evaluation_apply (f : (fgModule_dual K V).obj) (x : V.obj) :
(fgModule_evaluation K V) (f ⊗ₜ x) = f.to_fun x :=
by apply contract_left_apply f x
private theorem coevaluation_evaluation :
let V' : fgModule K := fgModule_dual K V in
(𝟙 V' ⊗ (fgModule_coevaluation K V)) ≫ (α_ V' V V').inv ≫ (fgModule_evaluation K V ⊗ 𝟙 V')
= (ρ_ V').hom ≫ (λ_ V').inv :=
by apply contract_left_assoc_coevaluation K V.obj
private theorem evaluation_coevaluation :
(fgModule_coevaluation K V ⊗ 𝟙 V)
≫ (α_ V (fgModule_dual K V) V).hom ≫ (𝟙 V ⊗ fgModule_evaluation K V)
= (λ_ V).hom ≫ (ρ_ V).inv :=
by apply contract_left_assoc_coevaluation' K V.obj
instance exact_pairing : exact_pairing V (fgModule_dual K V) :=
{ coevaluation := fgModule_coevaluation K V,
evaluation := fgModule_evaluation K V,
coevaluation_evaluation' := coevaluation_evaluation K V,
evaluation_coevaluation' := evaluation_coevaluation K V }
instance right_dual : has_right_dual V := ⟨fgModule_dual K V⟩
instance right_rigid_category : right_rigid_category (fgModule K) := { }
end field
end fgModule
|
bd95a6f4cb8f2cfbca69aec189eb4d52ea851f28 | 798dd332c1ad790518589a09bc82459fb12e5156 | /data/multiset.lean | 61351500e81cb8d44f4e35fa7d152f21b475ba29 | [
"Apache-2.0"
] | permissive | tobiasgrosser/mathlib | b040b7eb42d5942206149371cf92c61404de3c31 | 120635628368ec261e031cefc6d30e0304088b03 | refs/heads/master | 1,644,803,442,937 | 1,536,663,752,000 | 1,536,663,907,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 120,962 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Mario Carneiro
Multisets.
-/
import logic.function order.boolean_algebra
data.list.basic data.list.perm data.list.sort data.quot data.string
algebra.order_functions algebra.group_power algebra.ordered_group
category.traversable.lemmas tactic.interactive
category.traversable.instances category.basic
open list subtype nat lattice
variables {α : Type*} {β : Type*} {γ : Type*}
local infix ` • ` := add_monoid.smul
instance list.perm.setoid (α : Type*) : setoid (list α) :=
setoid.mk perm ⟨perm.refl, @perm.symm _, @perm.trans _⟩
/-- `multiset α` is the quotient of `list α` by list permutation. The result
is a type of finite sets with duplicates allowed. -/
def {u} multiset (α : Type u) : Type u :=
quotient (list.perm.setoid α)
namespace multiset
instance : has_coe (list α) (multiset α) := ⟨quot.mk _⟩
@[simp] theorem quot_mk_to_coe (l : list α) : @eq (multiset α) ⟦l⟧ l := rfl
@[simp] theorem quot_mk_to_coe' (l : list α) : @eq (multiset α) (quot.mk (≈) l) l := rfl
@[simp] theorem quot_mk_to_coe'' (l : list α) : @eq (multiset α) (quot.mk setoid.r l) l := rfl
@[simp] theorem coe_eq_coe {l₁ l₂ : list α} : (l₁ : multiset α) = l₂ ↔ l₁ ~ l₂ := quotient.eq
instance has_decidable_eq [decidable_eq α] : decidable_eq (multiset α)
| s₁ s₂ := quotient.rec_on_subsingleton₂ s₁ s₂ $ λ l₁ l₂,
decidable_of_iff' _ quotient.eq
/- empty multiset -/
/-- `0 : multiset α` is the empty set -/
protected def zero : multiset α := @nil α
instance : has_zero (multiset α) := ⟨multiset.zero⟩
instance : has_emptyc (multiset α) := ⟨0⟩
instance : inhabited (multiset α) := ⟨0⟩
@[simp] theorem coe_nil_eq_zero : (@nil α : multiset α) = 0 := rfl
@[simp] theorem empty_eq_zero : (∅ : multiset α) = 0 := rfl
/- cons -/
/-- `cons a s` is the multiset which contains `s` plus one more
instance of `a`. -/
def cons (a : α) (s : multiset α) : multiset α :=
quot.lift_on s (λ l, (a :: l : multiset α))
(λ l₁ l₂ p, quot.sound ((perm_cons a).2 p))
notation a :: b := cons a b
instance : has_insert α (multiset α) := ⟨cons⟩
@[simp] theorem insert_eq_cons (a : α) (s : multiset α) :
insert a s = a::s := rfl
@[simp] theorem cons_coe (a : α) (l : list α) :
(a::l : multiset α) = (a::l : list α) := rfl
theorem singleton_coe (a : α) : (a::0 : multiset α) = ([a] : list α) := rfl
@[simp] theorem cons_inj_left {a b : α} (s : multiset α) :
a::s = b::s ↔ a = b :=
⟨quot.induction_on s $ λ l e,
have [a] ++ l ~ [b] ++ l, from quotient.exact e,
eq_singleton_of_perm $ (perm_app_right_iff _).1 this, congr_arg _⟩
@[simp] theorem cons_inj_right (a : α) : ∀{s t : multiset α}, a::s = a::t ↔ s = t :=
by rintros ⟨l₁⟩ ⟨l₂⟩; simp [perm_cons]
@[recursor 5] protected theorem induction {p : multiset α → Prop}
(h₁ : p 0) (h₂ : ∀ ⦃a : α⦄ {s : multiset α}, p s → p (a :: s)) : ∀s, p s :=
by rintros ⟨l⟩; induction l with _ _ ih; [exact h₁, exact h₂ ih]
@[elab_as_eliminator] protected theorem induction_on {p : multiset α → Prop}
(s : multiset α) (h₁ : p 0) (h₂ : ∀ ⦃a : α⦄ {s : multiset α}, p s → p (a :: s)) : p s :=
multiset.induction h₁ h₂ s
theorem cons_swap (a b : α) (s : multiset α) : a :: b :: s = b :: a :: s :=
quot.induction_on s $ λ l, quotient.sound $ perm.swap _ _ _
section rec
variables {C : multiset α → Sort*}
/-- Dependent recursor on multisets.
TODO: should be @[recursor 6], but then the definition of `multiset.pi` failes with a stack
overflow in `whnf`.
-/
protected def rec
(C_0 : C 0)
(C_cons : Πa m, C m → C (a::m))
(C_cons_heq : ∀a a' m b, C_cons a (a'::m) (C_cons a' m b) == C_cons a' (a::m) (C_cons a m b))
(m : multiset α) : C m :=
quotient.hrec_on m (@list.rec α (λl, C ⟦l⟧) C_0 (λa l b, C_cons a ⟦l⟧ b)) $
assume l l' h,
list.rec_heq_of_perm h
(assume a l l' b b' hl, have ⟦l⟧ = ⟦l'⟧, from quot.sound hl, by cc)
(assume a a' l, C_cons_heq a a' ⟦l⟧)
@[elab_as_eliminator]
protected def rec_on (m : multiset α)
(C_0 : C 0)
(C_cons : Πa m, C m → C (a::m))
(C_cons_heq : ∀a a' m b, C_cons a (a'::m) (C_cons a' m b) == C_cons a' (a::m) (C_cons a m b)) :
C m :=
multiset.rec C_0 C_cons C_cons_heq m
variables {C_0 : C 0} {C_cons : Πa m, C m → C (a::m)}
{C_cons_heq : ∀a a' m b, C_cons a (a'::m) (C_cons a' m b) == C_cons a' (a::m) (C_cons a m b)}
@[simp] lemma rec_on_0 : @multiset.rec_on α C (0:multiset α) C_0 C_cons C_cons_heq = C_0 :=
rfl
@[simp] lemma rec_on_cons (a : α) (m : multiset α) :
(a :: m).rec_on C_0 C_cons C_cons_heq = C_cons a m (m.rec_on C_0 C_cons C_cons_heq) :=
quotient.induction_on m $ assume l, rfl
end rec
section mem
/-- `a ∈ s` means that `a` has nonzero multiplicity in `s`. -/
def mem (a : α) (s : multiset α) : Prop :=
quot.lift_on s (λ l, a ∈ l) (λ l₁ l₂ (e : l₁ ~ l₂), propext $ mem_of_perm e)
instance : has_mem α (multiset α) := ⟨mem⟩
@[simp] lemma mem_coe {a : α} {l : list α} : a ∈ (l : multiset α) ↔ a ∈ l := iff.rfl
instance decidable_mem [decidable_eq α] (a : α) (s : multiset α) : decidable (a ∈ s) :=
quot.rec_on_subsingleton s $ list.decidable_mem a
@[simp] theorem mem_cons {a b : α} {s : multiset α} : a ∈ b :: s ↔ a = b ∨ a ∈ s :=
quot.induction_on s $ λ l, iff.rfl
lemma mem_cons_of_mem {a b : α} {s : multiset α} (h : a ∈ s) : a ∈ b :: s :=
mem_cons.2 $ or.inr h
@[simp] theorem mem_cons_self (a : α) (s : multiset α) : a ∈ a :: s :=
mem_cons.2 (or.inl rfl)
theorem exists_cons_of_mem {s : multiset α} {a : α} : a ∈ s → ∃ t, s = a :: t :=
quot.induction_on s $ λ l (h : a ∈ l),
let ⟨l₁, l₂, e⟩ := mem_split h in
e.symm ▸ ⟨(l₁++l₂ : list α), quot.sound perm_middle⟩
@[simp] theorem not_mem_zero (a : α) : a ∉ (0 : multiset α) := id
theorem eq_zero_of_forall_not_mem {s : multiset α} : (∀x, x ∉ s) → s = 0 :=
quot.induction_on s $ λ l H, by rw eq_nil_of_forall_not_mem H; refl
theorem exists_mem_of_ne_zero {s : multiset α} : s ≠ 0 → ∃ a : α, a ∈ s :=
quot.induction_on s $ assume l hl,
match l, hl with
| [] := assume h, false.elim $ h rfl
| (a :: l) := assume _, ⟨a, by simp⟩
end
@[simp] lemma zero_ne_cons {a : α} {m : multiset α} : 0 ≠ a :: m :=
assume h, have a ∈ (0:multiset α), from h.symm ▸ mem_cons_self _ _, not_mem_zero _ this
@[simp] lemma cons_ne_zero {a : α} {m : multiset α} : a :: m ≠ 0 := zero_ne_cons.symm
lemma cons_eq_cons {a b : α} {as bs : multiset α} :
a :: as = b :: bs ↔ ((a = b ∧ as = bs) ∨ (a ≠ b ∧ ∃cs, as = b :: cs ∧ bs = a :: cs)) :=
begin
haveI : decidable_eq α := classical.dec_eq α,
split,
{ assume eq,
by_cases a = b,
{ subst h, simp * at * },
{ have : a ∈ b :: bs, from eq ▸ mem_cons_self _ _,
have : a ∈ bs, by simpa [h],
rcases exists_cons_of_mem this with ⟨cs, hcs⟩,
simp [h, hcs],
have : a :: as = b :: a :: cs, by simp [eq, hcs],
have : a :: as = a :: b :: cs, by rwa [cons_swap],
simpa using this } },
{ assume h,
rcases h with ⟨eq₁, eq₂⟩ | ⟨h, cs, eq₁, eq₂⟩,
{ simp * },
{ simp [*, cons_swap a b] } }
end
end mem
/- subset -/
section subset
/-- `s ⊆ t` is the lift of the list subset relation. It means that any
element with nonzero multiplicity in `s` has nonzero multiplicity in `t`,
but it does not imply that the multiplicity of `a` in `s` is less or equal than in `t`;
see `s ≤ t` for this relation. -/
protected def subset (s t : multiset α) : Prop := ∀ ⦃a : α⦄, a ∈ s → a ∈ t
instance : has_subset (multiset α) := ⟨multiset.subset⟩
@[simp] theorem coe_subset {l₁ l₂ : list α} : (l₁ : multiset α) ⊆ l₂ ↔ l₁ ⊆ l₂ := iff.rfl
@[simp] theorem subset.refl (s : multiset α) : s ⊆ s := λ a h, h
theorem subset.trans {s t u : multiset α} : s ⊆ t → t ⊆ u → s ⊆ u :=
λ h₁ h₂ a m, h₂ (h₁ m)
theorem subset_iff {s t : multiset α} : s ⊆ t ↔ (∀⦃x⦄, x ∈ s → x ∈ t) := iff.rfl
theorem mem_of_subset {s t : multiset α} {a : α} (h : s ⊆ t) : a ∈ s → a ∈ t := @h _
@[simp] theorem zero_subset (s : multiset α) : 0 ⊆ s :=
λ a, (not_mem_nil a).elim
@[simp] theorem cons_subset {a : α} {s t : multiset α} : (a :: s) ⊆ t ↔ a ∈ t ∧ s ⊆ t :=
by simp [subset_iff, or_imp_distrib, forall_and_distrib]
theorem eq_zero_of_subset_zero {s : multiset α} (h : s ⊆ 0) : s = 0 :=
eq_zero_of_forall_not_mem h
theorem subset_zero {s : multiset α} : s ⊆ 0 ↔ s = 0 :=
⟨eq_zero_of_subset_zero, λ xeq, xeq.symm ▸ subset.refl 0⟩
end subset
/- multiset order -/
/-- `s ≤ t` means that `s` is a sublist of `t` (up to permutation).
Equivalently, `s ≤ t` means that `count a s ≤ count a t` for all `a`. -/
protected def le (s t : multiset α) : Prop :=
quotient.lift_on₂ s t (<+~) $ λ v₁ v₂ w₁ w₂ p₁ p₂,
propext (p₂.subperm_left.trans p₁.subperm_right)
instance : partial_order (multiset α) :=
{ le := multiset.le,
le_refl := by rintros ⟨l⟩; exact subperm.refl _,
le_trans := by rintros ⟨l₁⟩ ⟨l₂⟩ ⟨l₃⟩; exact @subperm.trans _ _ _ _,
le_antisymm := by rintros ⟨l₁⟩ ⟨l₂⟩ h₁ h₂; exact quot.sound (subperm.antisymm h₁ h₂) }
theorem subset_of_le {s t : multiset α} : s ≤ t → s ⊆ t :=
quotient.induction_on₂ s t $ λ l₁ l₂, subset_of_subperm
theorem mem_of_le {s t : multiset α} {a : α} (h : s ≤ t) : a ∈ s → a ∈ t :=
mem_of_subset (subset_of_le h)
@[simp] theorem coe_le {l₁ l₂ : list α} : (l₁ : multiset α) ≤ l₂ ↔ l₁ <+~ l₂ := iff.rfl
@[elab_as_eliminator] theorem le_induction_on {C : multiset α → multiset α → Prop}
{s t : multiset α} (h : s ≤ t)
(H : ∀ {l₁ l₂ : list α}, l₁ <+ l₂ → C l₁ l₂) : C s t :=
quotient.induction_on₂ s t (λ l₁ l₂ ⟨l, p, s⟩,
(show ⟦l⟧ = ⟦l₁⟧, from quot.sound p) ▸ H s) h
theorem zero_le (s : multiset α) : 0 ≤ s :=
quot.induction_on s $ λ l, subperm_of_sublist $ nil_sublist l
theorem le_zero {s : multiset α} : s ≤ 0 ↔ s = 0 :=
⟨λ h, le_antisymm h (zero_le _), le_of_eq⟩
theorem lt_cons_self (s : multiset α) (a : α) : s < a :: s :=
quot.induction_on s $ λ l,
suffices l <+~ a :: l ∧ (¬l ~ a :: l),
by simpa [lt_iff_le_and_ne],
⟨subperm_of_sublist (sublist_cons _ _),
λ p, ne_of_lt (lt_succ_self (length l)) (perm_length p)⟩
theorem le_cons_self (s : multiset α) (a : α) : s ≤ a :: s :=
le_of_lt $ lt_cons_self _ _
theorem cons_le_cons_iff (a : α) {s t : multiset α} : a :: s ≤ a :: t ↔ s ≤ t :=
quotient.induction_on₂ s t $ λ l₁ l₂, subperm_cons a
theorem cons_le_cons (a : α) {s t : multiset α} : s ≤ t → a :: s ≤ a :: t :=
(cons_le_cons_iff a).2
theorem le_cons_of_not_mem {a : α} {s t : multiset α} (m : a ∉ s) : s ≤ a :: t ↔ s ≤ t :=
begin
refine ⟨_, λ h, le_trans h $ le_cons_self _ _⟩,
suffices : ∀ {t'} (_ : s ≤ t') (_ : a ∈ t'), a :: s ≤ t',
{ exact λ h, (cons_le_cons_iff a).1 (this h (mem_cons_self _ _)) },
introv h, revert m, refine le_induction_on h _,
introv s m₁ m₂,
rcases mem_split m₂ with ⟨r₁, r₂, rfl⟩,
exact perm_middle.subperm_left.2 ((subperm_cons _).2 $ subperm_of_sublist $
(sublist_or_mem_of_sublist s).resolve_right m₁)
end
/- cardinality -/
/-- The cardinality of a multiset is the sum of the multiplicities
of all its elements, or simply the length of the underlying list. -/
def card (s : multiset α) : ℕ :=
quot.lift_on s length $ λ l₁ l₂, perm_length
@[simp] theorem coe_card (l : list α) : card (l : multiset α) = length l := rfl
@[simp] theorem card_zero : @card α 0 = 0 := rfl
@[simp] theorem card_cons (a : α) (s : multiset α) : card (a :: s) = card s + 1 :=
quot.induction_on s $ λ l, rfl
@[simp] theorem card_singleton (a : α) : card (a::0) = 1 := by simp
theorem card_le_of_le {s t : multiset α} (h : s ≤ t) : card s ≤ card t :=
le_induction_on h $ λ l₁ l₂, length_le_of_sublist
theorem eq_of_le_of_card_le {s t : multiset α} (h : s ≤ t) : card t ≤ card s → s = t :=
le_induction_on h $ λ l₁ l₂ s h₂, congr_arg coe $ eq_of_sublist_of_length_le s h₂
theorem card_lt_of_lt {s t : multiset α} (h : s < t) : card s < card t :=
lt_of_not_ge $ λ h₂, ne_of_lt h $ eq_of_le_of_card_le (le_of_lt h) h₂
theorem lt_iff_cons_le {s t : multiset α} : s < t ↔ ∃ a, a :: s ≤ t :=
⟨quotient.induction_on₂ s t $ λ l₁ l₂ h,
subperm.exists_of_length_lt (le_of_lt h) (card_lt_of_lt h),
λ ⟨a, h⟩, lt_of_lt_of_le (lt_cons_self _ _) h⟩
@[simp] theorem card_eq_zero {s : multiset α} : card s = 0 ↔ s = 0 :=
⟨λ h, (eq_of_le_of_card_le (zero_le _) (le_of_eq h)).symm, λ e, by simp [e]⟩
theorem card_pos {s : multiset α} : 0 < card s ↔ s ≠ 0 :=
pos_iff_ne_zero.trans $ not_congr card_eq_zero
theorem card_pos_iff_exists_mem {s : multiset α} : 0 < card s ↔ ∃ a, a ∈ s :=
quot.induction_on s $ λ l, length_pos_iff_exists_mem
@[elab_as_eliminator] def strong_induction_on {p : multiset α → Sort*} :
∀ (s : multiset α), (∀ s, (∀t < s, p t) → p s) → p s
| s := λ ih, ih s $ λ t h,
have card t < card s, from card_lt_of_lt h,
strong_induction_on t ih
using_well_founded {rel_tac := λ _ _, `[exact ⟨_, measure_wf card⟩]}
theorem strong_induction_eq {p : multiset α → Sort*}
(s : multiset α) (H) : @strong_induction_on _ p s H =
H s (λ t h, @strong_induction_on _ p t H) :=
by rw [strong_induction_on]
@[elab_as_eliminator] lemma case_strong_induction_on {p : multiset α → Prop}
(s : multiset α) (h₀ : p 0) (h₁ : ∀ a s, (∀t ≤ s, p t) → p (a :: s)) : p s :=
multiset.strong_induction_on s $ assume s,
multiset.induction_on s (λ _, h₀) $ λ a s _ ih, h₁ _ _ $
λ t h, ih _ $ lt_of_le_of_lt h $ lt_cons_self _ _
/- singleton -/
@[simp] theorem singleton_eq_singleton (a : α) : singleton a = a::0 := rfl
@[simp] theorem mem_singleton {a b : α} : b ∈ a::0 ↔ b = a := by simp
theorem mem_singleton_self (a : α) : a ∈ (a::0 : multiset α) := mem_cons_self _ _
theorem singleton_inj {a b : α} : a::0 = b::0 ↔ a = b := cons_inj_left _
@[simp] theorem singleton_ne_zero (a : α) : a::0 ≠ 0 :=
ne_of_gt (lt_cons_self _ _)
@[simp] theorem singleton_le {a : α} {s : multiset α} : a::0 ≤ s ↔ a ∈ s :=
⟨λ h, mem_of_le h (mem_singleton_self _),
λ h, let ⟨t, e⟩ := exists_cons_of_mem h in e.symm ▸ cons_le_cons _ (zero_le _)⟩
theorem card_eq_one {s : multiset α} : card s = 1 ↔ ∃ a, s = a::0 :=
⟨quot.induction_on s $ λ l h,
(list.length_eq_one.1 h).imp $ λ a, congr_arg coe,
λ ⟨a, e⟩, e.symm ▸ rfl⟩
/- add -/
/-- The sum of two multisets is the lift of the list append operation.
This adds the multiplicities of each element,
i.e. `count a (s + t) = count a s + count a t`. -/
protected def add (s₁ s₂ : multiset α) : multiset α :=
quotient.lift_on₂ s₁ s₂ (λ l₁ l₂, ((l₁ ++ l₂ : list α) : multiset α)) $
λ v₁ v₂ w₁ w₂ p₁ p₂, quot.sound $ perm_app p₁ p₂
instance : has_add (multiset α) := ⟨multiset.add⟩
@[simp] theorem coe_add (s t : list α) : (s + t : multiset α) = (s ++ t : list α) := rfl
protected theorem add_comm (s t : multiset α) : s + t = t + s :=
quotient.induction_on₂ s t $ λ l₁ l₂, quot.sound perm_app_comm
protected theorem zero_add (s : multiset α) : 0 + s = s :=
quot.induction_on s $ λ l, rfl
theorem singleton_add (a : α) (s : multiset α) : ↑[a] + s = a::s := rfl
protected theorem add_le_add_left (s) {t u : multiset α} : s + t ≤ s + u ↔ t ≤ u :=
quotient.induction_on₃ s t u $ λ l₁ l₂ l₃, subperm_app_left _
protected theorem add_left_cancel (s) {t u : multiset α} (h : s + t = s + u) : t = u :=
le_antisymm ((multiset.add_le_add_left _).1 (le_of_eq h))
((multiset.add_le_add_left _).1 (le_of_eq h.symm))
instance : ordered_cancel_comm_monoid (multiset α) :=
{ zero := 0,
add := (+),
add_comm := multiset.add_comm,
add_assoc := λ s₁ s₂ s₃, quotient.induction_on₃ s₁ s₂ s₃ $ λ l₁ l₂ l₃,
congr_arg coe $ append_assoc l₁ l₂ l₃,
zero_add := multiset.zero_add,
add_zero := λ s, by rw [multiset.add_comm, multiset.zero_add],
add_left_cancel := multiset.add_left_cancel,
add_right_cancel := λ s₁ s₂ s₃ h, multiset.add_left_cancel s₂ $
by simpa [multiset.add_comm] using h,
add_le_add_left := λ s₁ s₂ h s₃, (multiset.add_le_add_left _).2 h,
le_of_add_le_add_left := λ s₁ s₂ s₃, (multiset.add_le_add_left _).1,
..@multiset.partial_order α }
@[simp] theorem cons_add (a : α) (s t : multiset α) : a :: s + t = a :: (s + t) :=
by rw [← singleton_add, ← singleton_add, add_assoc]
@[simp] theorem add_cons (a : α) (s t : multiset α) : s + a :: t = a :: (s + t) :=
by rw [add_comm, cons_add, add_comm]
theorem le_add_right (s t : multiset α) : s ≤ s + t :=
by simpa using add_le_add_left (zero_le t) s
theorem le_add_left (s t : multiset α) : s ≤ t + s :=
by simpa using add_le_add_right (zero_le t) s
@[simp] theorem card_add (s t : multiset α) : card (s + t) = card s + card t :=
quotient.induction_on₂ s t length_append
@[simp] theorem mem_add {a : α} {s t : multiset α} : a ∈ s + t ↔ a ∈ s ∨ a ∈ t :=
quotient.induction_on₂ s t $ λ l₁ l₂, mem_append
theorem le_iff_exists_add {s t : multiset α} : s ≤ t ↔ ∃ u, t = s + u :=
⟨λ h, le_induction_on h $ λ l₁ l₂ s,
let ⟨l, p⟩ := exists_perm_append_of_sublist s in ⟨l, quot.sound p⟩,
λ⟨u, e⟩, e.symm ▸ le_add_right s u⟩
instance : canonically_ordered_monoid (multiset α) :=
{ lt_of_add_lt_add_left := @lt_of_add_lt_add_left _ _,
le_iff_exists_add := @le_iff_exists_add _,
..multiset.ordered_cancel_comm_monoid }
/- repeat -/
/-- `repeat a n` is the multiset containing only `a` with multiplicity `n`. -/
def repeat (a : α) (n : ℕ) : multiset α := repeat a n
@[simp] lemma repeat_zero (a : α) : repeat a 0 = 0 := rfl
@[simp] lemma repeat_succ (a : α) (n) : repeat a (n+1) = a :: repeat a n := by simp [repeat]
@[simp] lemma repeat_one (a : α) : repeat a 1 = a :: 0 := by simp
@[simp] lemma card_repeat : ∀ (a : α) n, card (repeat a n) = n := length_repeat
theorem eq_of_mem_repeat {a b : α} {n} : b ∈ repeat a n → b = a := eq_of_mem_repeat
theorem eq_repeat' {a : α} {s : multiset α} : s = repeat a s.card ↔ ∀ b ∈ s, b = a :=
quot.induction_on s $ λ l, iff.trans ⟨λ h,
(perm_repeat.1 $ (quotient.exact h).symm).symm, congr_arg coe⟩ eq_repeat'
theorem eq_repeat_of_mem {a : α} {s : multiset α} : (∀ b ∈ s, b = a) → s = repeat a s.card :=
eq_repeat'.2
theorem eq_repeat {a : α} {n} {s : multiset α} : s = repeat a n ↔ card s = n ∧ ∀ b ∈ s, b = a :=
⟨λ h, h.symm ▸ ⟨card_repeat _ _, λ b, eq_of_mem_repeat⟩,
λ ⟨e, al⟩, e ▸ eq_repeat_of_mem al⟩
theorem repeat_subset_singleton : ∀ (a : α) n, repeat a n ⊆ a::0 := repeat_subset_singleton
theorem repeat_le_coe {a : α} {n} {l : list α} : repeat a n ≤ l ↔ list.repeat a n <+ l :=
⟨λ ⟨l', p, s⟩, (perm_repeat.1 p.symm).symm ▸ s, subperm_of_sublist⟩
/- range -/
/-- `range n` is the multiset lifted from the list `range n`,
that is, the set `{0, 1, ..., n-1}`. -/
def range (n : ℕ) : multiset ℕ := range n
@[simp] theorem range_zero (n : ℕ) : range 0 = 0 := rfl
@[simp] theorem range_succ (n : ℕ) : range (succ n) = n :: range n :=
by rw [range, range_concat, ← coe_add, add_comm]; refl
@[simp] theorem card_range (n : ℕ) : card (range n) = n := length_range _
theorem range_subset {m n : ℕ} : range m ⊆ range n ↔ m ≤ n := range_subset
@[simp] theorem mem_range {m n : ℕ} : m ∈ range n ↔ m < n := mem_range
@[simp] theorem not_mem_range_self {n : ℕ} : n ∉ range n := not_mem_range_self
/- erase -/
section erase
variables [decidable_eq α] {s t : multiset α} {a b : α}
/-- `erase s a` is the multiset that subtracts 1 from the
multiplicity of `a`. -/
def erase (s : multiset α) (a : α) : multiset α :=
quot.lift_on s (λ l, (l.erase a : multiset α))
(λ l₁ l₂ p, quot.sound (erase_perm_erase a p))
@[simp] theorem coe_erase (l : list α) (a : α) :
erase (l : multiset α) a = l.erase a := rfl
@[simp] theorem erase_zero (a : α) : (0 : multiset α).erase a = 0 := rfl
@[simp] theorem erase_cons_head (a : α) (s : multiset α) : (a :: s).erase a = s :=
quot.induction_on s $ λ l, congr_arg coe $ erase_cons_head a l
@[simp] theorem erase_cons_tail {a b : α} (s : multiset α) (h : b ≠ a) : (b::s).erase a = b :: s.erase a :=
quot.induction_on s $ λ l, congr_arg coe $ erase_cons_tail l h
@[simp] theorem erase_of_not_mem {a : α} {s : multiset α} : a ∉ s → s.erase a = s :=
quot.induction_on s $ λ l h, congr_arg coe $ erase_of_not_mem h
@[simp] theorem cons_erase {s : multiset α} {a : α} : a ∈ s → a :: s.erase a = s :=
quot.induction_on s $ λ l h, quot.sound (perm_erase h).symm
theorem le_cons_erase (s : multiset α) (a : α) : s ≤ a :: s.erase a :=
if h : a ∈ s then le_of_eq (cons_erase h).symm
else by rw erase_of_not_mem h; apply le_cons_self
@[simp] theorem card_erase_of_mem {a : α} {s : multiset α} : a ∈ s → card (s.erase a) = pred (card s) :=
quot.induction_on s $ λ l, length_erase_of_mem
theorem erase_add_left_pos {a : α} {s : multiset α} (t) : a ∈ s → (s + t).erase a = s.erase a + t :=
quotient.induction_on₂ s t $ λ l₁ l₂ h, congr_arg coe $ erase_append_left l₂ h
theorem erase_add_right_pos {a : α} (s) {t : multiset α} (h : a ∈ t) : (s + t).erase a = s + t.erase a :=
by rw [add_comm, erase_add_left_pos s h, add_comm]
theorem erase_add_right_neg {a : α} {s : multiset α} (t) : a ∉ s → (s + t).erase a = s + t.erase a :=
quotient.induction_on₂ s t $ λ l₁ l₂ h, congr_arg coe $ erase_append_right l₂ h
theorem erase_add_left_neg {a : α} (s) {t : multiset α} (h : a ∉ t) : (s + t).erase a = s.erase a + t :=
by rw [add_comm, erase_add_right_neg s h, add_comm]
theorem erase_le (a : α) (s : multiset α) : s.erase a ≤ s :=
quot.induction_on s $ λ l, subperm_of_sublist (erase_sublist a l)
@[simp] theorem erase_lt {a : α} {s : multiset α} : s.erase a < s ↔ a ∈ s :=
⟨λ h, not_imp_comm.1 erase_of_not_mem (ne_of_lt h),
λ h, by simpa [h] using lt_cons_self (s.erase a) a⟩
theorem erase_subset (a : α) (s : multiset α) : s.erase a ⊆ s :=
subset_of_le (erase_le a s)
theorem mem_erase_of_ne {a b : α} {s : multiset α} (ab : a ≠ b) : a ∈ s.erase b ↔ a ∈ s :=
quot.induction_on s $ λ l, list.mem_erase_of_ne ab
theorem mem_of_mem_erase {a b : α} {s : multiset α} : a ∈ s.erase b → a ∈ s :=
mem_of_subset (erase_subset _ _)
theorem erase_comm (s : multiset α) (a b : α) : (s.erase a).erase b = (s.erase b).erase a :=
quot.induction_on s $ λ l, congr_arg coe $ l.erase_comm a b
theorem erase_le_erase {s t : multiset α} (a : α) (h : s ≤ t) : s.erase a ≤ t.erase a :=
le_induction_on h $ λ l₁ l₂ h, subperm_of_sublist (erase_sublist_erase _ h)
theorem erase_le_iff_le_cons {s t : multiset α} {a : α} : s.erase a ≤ t ↔ s ≤ a :: t :=
⟨λ h, le_trans (le_cons_erase _ _) (cons_le_cons _ h),
λ h, if m : a ∈ s
then by rw ← cons_erase m at h; exact (cons_le_cons_iff _).1 h
else le_trans (erase_le _ _) ((le_cons_of_not_mem m).1 h)⟩
end erase
@[simp] theorem coe_reverse (l : list α) : (reverse l : multiset α) = l :=
quot.sound $ reverse_perm _
/- map -/
/-- `map f s` is the lift of the list `map` operation. The multiplicity
of `b` in `map f s` is the number of `a ∈ s` (counting multiplicity)
such that `f a = b`. -/
def map (f : α → β) (s : multiset α) : multiset β :=
quot.lift_on s (λ l : list α, (l.map f : multiset β))
(λ l₁ l₂ p, quot.sound (perm_map f p))
@[simp] theorem coe_map (f : α → β) (l : list α) : map f ↑l = l.map f := rfl
@[simp] theorem map_zero (f : α → β) : map f 0 = 0 := rfl
@[simp] theorem map_cons (f : α → β) (a s) : map f (a::s) = f a :: map f s :=
quot.induction_on s $ λ l, rfl
@[simp] lemma map_singleton (f : α → β) (a : α) : ({a} : multiset α).map f = {f a} := rfl
@[simp] theorem map_add (f : α → β) (s t) : map f (s + t) = map f s + map f t :=
quotient.induction_on₂ s t $ λ l₁ l₂, congr_arg coe $ map_append _ _ _
@[simp] theorem mem_map {f : α → β} {b : β} {s : multiset α} :
b ∈ map f s ↔ ∃ a, a ∈ s ∧ f a = b :=
quot.induction_on s $ λ l, mem_map
@[simp] theorem card_map (f : α → β) (s) : card (map f s) = card s :=
quot.induction_on s $ λ l, length_map _ _
theorem mem_map_of_mem (f : α → β) {a : α} {s : multiset α} (h : a ∈ s) : f a ∈ map f s :=
mem_map.2 ⟨_, h, rfl⟩
@[simp] theorem mem_map_of_inj {f : α → β} (H : function.injective f) {a : α} {s : multiset α} :
f a ∈ map f s ↔ a ∈ s :=
quot.induction_on s $ λ l, mem_map_of_inj H
@[simp] theorem map_map (g : β → γ) (f : α → β) (s : multiset α) : map g (map f s) = map (g ∘ f) s :=
quot.induction_on s $ λ l, congr_arg coe $ list.map_map _ _ _
@[simp] theorem map_id (s : multiset α) : map id s = s :=
quot.induction_on s $ λ l, congr_arg coe $ map_id _
@[simp] lemma map_id' (s : multiset α) : map (λx, x) s = s := map_id s
@[simp] theorem map_const (s : multiset α) (b : β) : map (function.const α b) s = repeat b s.card :=
quot.induction_on s $ λ l, congr_arg coe $ map_const _ _
@[congr] theorem map_congr {f g : α → β} {s : multiset α} : (∀ x ∈ s, f x = g x) → map f s = map g s :=
quot.induction_on s $ λ l H, congr_arg coe $ map_congr H
lemma map_hcongr {β' : Type*} {m : multiset α} {f : α → β} {f' : α → β'}
(h : β = β') (hf : ∀a∈m, f a == f' a) : map f m == map f' m :=
begin subst h, simp at hf, simp [map_congr hf] end
theorem eq_of_mem_map_const {b₁ b₂ : β} {l : list α} (h : b₁ ∈ map (function.const α b₂) l) : b₁ = b₂ :=
eq_of_mem_repeat $ by rwa map_const at h
@[simp] theorem map_le_map {f : α → β} {s t : multiset α} (h : s ≤ t) : map f s ≤ map f t :=
le_induction_on h $ λ l₁ l₂ h, subperm_of_sublist $ map_sublist_map f h
@[simp] theorem map_subset_map {f : α → β} {s t : multiset α} (H : s ⊆ t) : map f s ⊆ map f t :=
λ b m, let ⟨a, h, e⟩ := mem_map.1 m in mem_map.2 ⟨a, H h, e⟩
/- fold -/
/-- `foldl f H b s` is the lift of the list operation `foldl f b l`,
which folds `f` over the multiset. It is well defined when `f` is right-commutative,
that is, `f (f b a₁) a₂ = f (f b a₂) a₁`. -/
def foldl (f : β → α → β) (H : right_commutative f) (b : β) (s : multiset α) : β :=
quot.lift_on s (λ l, foldl f b l)
(λ l₁ l₂ p, foldl_eq_of_perm H p b)
@[simp] theorem foldl_zero (f : β → α → β) (H b) : foldl f H b 0 = b := rfl
@[simp] theorem foldl_cons (f : β → α → β) (H b a s) : foldl f H b (a :: s) = foldl f H (f b a) s :=
quot.induction_on s $ λ l, rfl
@[simp] theorem foldl_add (f : β → α → β) (H b s t) : foldl f H b (s + t) = foldl f H (foldl f H b s) t :=
quotient.induction_on₂ s t $ λ l₁ l₂, foldl_append _ _ _ _
/-- `foldr f H b s` is the lift of the list operation `foldr f b l`,
which folds `f` over the multiset. It is well defined when `f` is left-commutative,
that is, `f a₁ (f a₂ b) = f a₂ (f a₁ b)`. -/
def foldr (f : α → β → β) (H : left_commutative f) (b : β) (s : multiset α) : β :=
quot.lift_on s (λ l, foldr f b l)
(λ l₁ l₂ p, foldr_eq_of_perm H p b)
@[simp] theorem foldr_zero (f : α → β → β) (H b) : foldr f H b 0 = b := rfl
@[simp] theorem foldr_cons (f : α → β → β) (H b a s) : foldr f H b (a :: s) = f a (foldr f H b s) :=
quot.induction_on s $ λ l, rfl
@[simp] theorem foldr_add (f : α → β → β) (H b s t) : foldr f H b (s + t) = foldr f H (foldr f H b t) s :=
quotient.induction_on₂ s t $ λ l₁ l₂, foldr_append _ _ _ _
@[simp] theorem coe_foldr (f : α → β → β) (H : left_commutative f) (b : β) (l : list α) :
foldr f H b l = l.foldr f b := rfl
@[simp] theorem coe_foldl (f : β → α → β) (H : right_commutative f) (b : β) (l : list α) :
foldl f H b l = l.foldl f b := rfl
theorem coe_foldr_swap (f : α → β → β) (H : left_commutative f) (b : β) (l : list α) :
foldr f H b l = l.foldl (λ x y, f y x) b :=
(congr_arg (foldr f H b) (coe_reverse l)).symm.trans $ foldr_reverse _ _ _
theorem foldr_swap (f : α → β → β) (H : left_commutative f) (b : β) (s : multiset α) :
foldr f H b s = foldl (λ x y, f y x) (λ x y z, (H _ _ _).symm) b s :=
quot.induction_on s $ λ l, coe_foldr_swap _ _ _ _
theorem foldl_swap (f : β → α → β) (H : right_commutative f) (b : β) (s : multiset α) :
foldl f H b s = foldr (λ x y, f y x) (λ x y z, (H _ _ _).symm) b s :=
(foldr_swap _ _ _ _).symm
/-- Product of a multiset given a commutative monoid structure on `α`.
`prod {a, b, c} = a * b * c` -/
def prod [comm_monoid α] : multiset α → α :=
foldr (*) (λ x y z, by simp [mul_left_comm]) 1
attribute [to_additive multiset.sum._proof_1] prod._proof_1
attribute [to_additive multiset.sum] prod
@[to_additive multiset.sum_eq_foldr]
theorem prod_eq_foldr [comm_monoid α] (s : multiset α) :
prod s = foldr (*) (λ x y z, by simp [mul_left_comm]) 1 s := rfl
@[to_additive multiset.sum_eq_foldl]
theorem prod_eq_foldl [comm_monoid α] (s : multiset α) :
prod s = foldl (*) (λ x y z, by simp [mul_right_comm]) 1 s :=
(foldr_swap _ _ _ _).trans (by simp [mul_comm])
@[simp, to_additive multiset.coe_sum]
theorem coe_prod [comm_monoid α] (l : list α) : prod ↑l = l.prod :=
prod_eq_foldl _
@[simp, to_additive multiset.sum_zero]
theorem prod_zero [comm_monoid α] : @prod α _ 0 = 1 := rfl
@[simp, to_additive multiset.sum_cons]
theorem prod_cons [comm_monoid α] (a : α) (s) : prod (a :: s) = a * prod s :=
foldr_cons _ _ _ _ _
@[to_additive multiset.sum_singleton]
theorem prod_singleton [comm_monoid α] (a : α) : prod (a :: 0) = a := by simp
@[simp, to_additive multiset.sum_add]
theorem prod_add [comm_monoid α] (s t : multiset α) : prod (s + t) = prod s * prod t :=
quotient.induction_on₂ s t $ λ l₁ l₂, by simp
@[simp] theorem prod_repeat [comm_monoid α] (a : α) (n : ℕ) : prod (multiset.repeat a n) = a ^ n :=
by simp [repeat, list.prod_repeat]
@[simp] theorem sum_repeat [add_comm_monoid α] : ∀ (a : α) (n : ℕ), sum (multiset.repeat a n) = n • a :=
@prod_repeat (multiplicative α) _
attribute [to_additive multiset.sum_repeat] prod_repeat
@[simp] lemma prod_map_one [comm_monoid γ] {m : multiset α} :
prod (m.map (λa, (1 : γ))) = (1 : γ) :=
multiset.induction_on m (by simp) (by simp)
@[simp] lemma sum_map_zero [add_comm_monoid γ] {m : multiset α} :
sum (m.map (λa, (0 : γ))) = (0 : γ) :=
multiset.induction_on m (by simp) (by simp)
attribute [to_additive multiset.sum_map_zero] prod_map_one
@[simp, to_additive multiset.sum_map_add]
lemma prod_map_mul [comm_monoid γ] {m : multiset α} {f g : α → γ} :
prod (m.map $ λa, f a * g a) = prod (m.map f) * prod (m.map g) :=
multiset.induction_on m (by simp) (assume a m ih, by simp [ih]; cc)
lemma prod_map_prod_map [comm_monoid γ] (m : multiset α) (n : multiset β) {f : α → β → γ} :
prod (m.map $ λa, prod $ n.map $ λb, f a b) = prod (n.map $ λb, prod $ m.map $ λa, f a b) :=
multiset.induction_on m (by simp) (assume a m ih, by simp [ih])
lemma sum_map_sum_map [add_comm_monoid γ] : ∀ (m : multiset α) (n : multiset β) {f : α → β → γ},
sum (m.map $ λa, sum $ n.map $ λb, f a b) = sum (n.map $ λb, sum $ m.map $ λa, f a b) :=
@prod_map_prod_map _ _ (multiplicative γ) _
attribute [to_additive multiset.sum_map_sum_map] prod_map_prod_map
lemma sum_map_mul_left [semiring β] {b : β} {s : multiset α} {f : α → β} :
sum (s.map (λa, b * f a)) = b * sum (s.map f) :=
multiset.induction_on s (by simp) (assume a s ih, by simp [ih, mul_add])
lemma sum_map_mul_right [semiring β] {b : β} {s : multiset α} {f : α → β} :
sum (s.map (λa, f a * b)) = sum (s.map f) * b :=
multiset.induction_on s (by simp) (assume a s ih, by simp [ih, add_mul])
/- join -/
/-- `join S`, where `S` is a multiset of multisets, is the lift of the list join
operation, that is, the union of all the sets.
join {{1, 2}, {1, 2}, {0, 1}} = {0, 1, 1, 1, 2, 2} -/
def join : multiset (multiset α) → multiset α := sum
theorem coe_join : ∀ L : list (list α),
join (L.map (@coe _ (multiset α) _) : multiset (multiset α)) = L.join
| [] := rfl
| (l :: L) := congr_arg (λ s : multiset α, ↑l + s) (coe_join L)
@[simp] theorem join_zero : @join α 0 = 0 := rfl
@[simp] theorem join_cons (s S) : @join α (s :: S) = s + join S :=
sum_cons _ _
@[simp] theorem join_add (S T) : @join α (S + T) = join S + join T :=
sum_add _ _
@[simp] theorem mem_join {a S} : a ∈ @join α S ↔ ∃ s ∈ S, a ∈ s :=
multiset.induction_on S (by simp) $
by simp [or_and_distrib_right, exists_or_distrib] {contextual := tt}
@[simp] theorem card_join (S) : card (@join α S) = sum (map card S) :=
multiset.induction_on S (by simp) (by simp)
/- bind -/
/-- `bind s f` is the monad bind operation, defined as `join (map f s)`.
It is the union of `f a` as `a` ranges over `s`. -/
def bind (s : multiset α) (f : α → multiset β) : multiset β :=
join (map f s)
@[simp] theorem coe_bind (l : list α) (f : α → list β) :
@bind α β l (λ a, f a) = l.bind f :=
by rw [list.bind, ← coe_join, list.map_map]; refl
@[simp] theorem zero_bind (f : α → multiset β) : bind 0 f = 0 := rfl
@[simp] theorem cons_bind (a s) (f : α → multiset β) : bind (a::s) f = f a + bind s f :=
by simp [bind]
@[simp] theorem add_bind (s t) (f : α → multiset β) : bind (s + t) f = bind s f + bind t f :=
by simp [bind]
@[simp] theorem bind_zero (s : multiset α) : bind s (λa, 0 : α → multiset β) = 0 :=
by simp [bind, -map_const, join]
@[simp] theorem bind_add (s : multiset α) (f g : α → multiset β) :
bind s (λa, f a + g a) = bind s f + bind s g :=
by simp [bind, join]
@[simp] theorem bind_cons (s : multiset α) (f : α → β) (g : α → multiset β) :
bind s (λa, f a :: g a) = map f s + bind s g :=
multiset.induction_on s (by simp) (by simp {contextual := tt})
@[simp] theorem mem_bind {b s} {f : α → multiset β} : b ∈ bind s f ↔ ∃ a ∈ s, b ∈ f a :=
by simp [bind]; simp [-exists_and_distrib_right, exists_and_distrib_right.symm];
rw exists_swap; simp [and_assoc]
@[simp] theorem card_bind (s) (f : α → multiset β) : card (bind s f) = sum (map (card ∘ f) s) :=
by simp [bind]
lemma bind_congr {f g : α → multiset β} {m : multiset α} : (∀a∈m, f a = g a) → bind m f = bind m g :=
by simp [bind] {contextual := tt}
lemma bind_hcongr {β' : Type*} {m : multiset α} {f : α → multiset β} {f' : α → multiset β'}
(h : β = β') (hf : ∀a∈m, f a == f' a) : bind m f == bind m f' :=
begin subst h, simp at hf, simp [bind_congr hf] end
lemma map_bind (m : multiset α) (n : α → multiset β) (f : β → γ) :
map f (bind m n) = bind m (λa, map f (n a)) :=
multiset.induction_on m (by simp) (by simp {contextual := tt})
lemma bind_map (m : multiset α) (n : β → multiset γ) (f : α → β) :
bind (map f m) n = bind m (λa, n (f a)) :=
multiset.induction_on m (by simp) (by simp {contextual := tt})
lemma bind_assoc {s : multiset α} {f : α → multiset β} {g : β → multiset γ} :
(s.bind f).bind g = s.bind (λa, (f a).bind g) :=
multiset.induction_on s (by simp) (by simp {contextual := tt})
lemma bind_bind (m : multiset α) (n : multiset β) {f : α → β → multiset γ} :
(bind m $ λa, bind n $ λb, f a b) = (bind n $ λb, bind m $ λa, f a b) :=
multiset.induction_on m (by simp) (by simp {contextual := tt})
lemma bind_map_comm (m : multiset α) (n : multiset β) {f : α → β → γ} :
(bind m $ λa, n.map $ λb, f a b) = (bind n $ λb, m.map $ λa, f a b) :=
multiset.induction_on m (by simp) (by simp {contextual := tt})
@[simp, to_additive multiset.sum_bind]
lemma prod_bind [comm_monoid β] (s : multiset α) (t : α → multiset β) :
prod (bind s t) = prod (s.map $ λa, prod (t a)) :=
multiset.induction_on s (by simp) (assume a s ih, by simp [ih, cons_bind])
/- product -/
/-- The multiplicity of `(a, b)` in `product s t` is
the product of the multiplicity of `a` in `s` and `b` in `t`. -/
def product (s : multiset α) (t : multiset β) : multiset (α × β) :=
s.bind $ λ a, t.map $ prod.mk a
@[simp] theorem coe_product (l₁ : list α) (l₂ : list β) :
@product α β l₁ l₂ = l₁.product l₂ :=
by rw [product, list.product, ← coe_bind]; simp
@[simp] theorem zero_product (t) : @product α β 0 t = 0 := rfl
@[simp] theorem cons_product (a : α) (s : multiset α) (t : multiset β) :
product (a :: s) t = map (prod.mk a) t + product s t :=
by simp [product]
@[simp] theorem product_singleton (a : α) (b : β) : product (a::0) (b::0) = (a,b)::0 := rfl
@[simp] theorem add_product (s t : multiset α) (u : multiset β) :
product (s + t) u = product s u + product t u :=
by simp [product]
@[simp] theorem product_add (s : multiset α) : ∀ t u : multiset β,
product s (t + u) = product s t + product s u :=
multiset.induction_on s (λ t u, rfl) $ λ a s IH t u,
by rw [cons_product, IH]; simp
@[simp] theorem mem_product {s t} : ∀ {p : α × β}, p ∈ @product α β s t ↔ p.1 ∈ s ∧ p.2 ∈ t
| (a, b) := by simp [product, and.left_comm]
@[simp] theorem card_product (s : multiset α) (t : multiset β) : card (product s t) = card s * card t :=
by simp [product, repeat, (∘), mul_comm]
/- sigma -/
section
variable {σ : α → Type*}
/-- `sigma s t` is the dependent version of `product`. It is the sum of
`(a, b)` as `a` ranges over `s` and `b` ranges over `t a`. -/
protected def sigma (s : multiset α) (t : Π a, multiset (σ a)) : multiset (Σ a, σ a) :=
s.bind $ λ a, (t a).map $ sigma.mk a
@[simp] theorem coe_sigma (l₁ : list α) (l₂ : Π a, list (σ a)) :
@multiset.sigma α σ l₁ (λ a, l₂ a) = l₁.sigma l₂ :=
by rw [multiset.sigma, list.sigma, ← coe_bind]; simp
@[simp] theorem zero_sigma (t) : @multiset.sigma α σ 0 t = 0 := rfl
@[simp] theorem cons_sigma (a : α) (s : multiset α) (t : Π a, multiset (σ a)) :
(a :: s).sigma t = map (sigma.mk a) (t a) + s.sigma t :=
by simp [multiset.sigma]
@[simp] theorem sigma_singleton (a : α) (b : α → β) :
(a::0).sigma (λ a, b a::0) = ⟨a, b a⟩::0 := rfl
@[simp] theorem add_sigma (s t : multiset α) (u : Π a, multiset (σ a)) :
(s + t).sigma u = s.sigma u + t.sigma u :=
by simp [multiset.sigma]
@[simp] theorem sigma_add (s : multiset α) : ∀ t u : Π a, multiset (σ a),
s.sigma (λ a, t a + u a) = s.sigma t + s.sigma u :=
multiset.induction_on s (λ t u, rfl) $ λ a s IH t u,
by rw [cons_sigma, IH]; simp
@[simp] theorem mem_sigma {s t} : ∀ {p : Σ a, σ a},
p ∈ @multiset.sigma α σ s t ↔ p.1 ∈ s ∧ p.2 ∈ t p.1
| ⟨a, b⟩ := by simp [multiset.sigma, and_assoc, and.left_comm]
@[simp] theorem card_sigma (s : multiset α) (t : Π a, multiset (σ a)) :
card (s.sigma t) = sum (map (λ a, card (t a)) s) :=
by simp [multiset.sigma, (∘)]
end
/- map for partial functions -/
/-- Lift of the list `pmap` operation. Map a partial function `f` over a multiset
`s` whose elements are all in the domain of `f`. -/
def pmap {p : α → Prop} (f : Π a, p a → β) (s : multiset α) : (∀ a ∈ s, p a) → multiset β :=
quot.rec_on s (λ l H, ↑(pmap f l H)) $ λ l₁ l₂ (pp : l₁ ~ l₂),
funext $ λ (H₂ : ∀ a ∈ l₂, p a),
have H₁ : ∀ a ∈ l₁, p a, from λ a h, H₂ a ((mem_of_perm pp).1 h),
have ∀ {s₂ e H}, @eq.rec (multiset α) l₁
(λ s, (∀ a ∈ s, p a) → multiset β) (λ _, ↑(pmap f l₁ H₁))
s₂ e H = ↑(pmap f l₁ H₁), by intros s₂ e _; subst e,
this.trans $ quot.sound $ perm_pmap f pp
@[simp] theorem coe_pmap {p : α → Prop} (f : Π a, p a → β)
(l : list α) (H : ∀ a ∈ l, p a) : pmap f l H = l.pmap f H := rfl
@[simp] lemma pmap_zero {p : α → Prop} (f : Π a, p a → β) (h : ∀a∈(0:multiset α), p a) :
pmap f 0 h = 0 := rfl
@[simp] lemma pmap_cons {p : α → Prop} (f : Π a, p a → β) (a : α) (m : multiset α) :
∀(h : ∀b∈a::m, p b), pmap f (a :: m) h =
f a (h a (mem_cons_self a m)) :: pmap f m (λa ha, h a $ mem_cons_of_mem ha) :=
quotient.induction_on m $ assume l h, rfl
/-- "Attach" a proof that `a ∈ s` to each element `a` in `s` to produce
a multiset on `{x // x ∈ s}`. -/
def attach (s : multiset α) : multiset {x // x ∈ s} := pmap subtype.mk s (λ a, id)
@[simp] theorem coe_attach (l : list α) :
@eq (multiset {x // x ∈ l}) (@attach α l) l.attach := rfl
theorem pmap_eq_map (p : α → Prop) (f : α → β) (s : multiset α) :
∀ H, @pmap _ _ p (λ a _, f a) s H = map f s :=
quot.induction_on s $ λ l H, congr_arg coe $ pmap_eq_map p f l H
theorem pmap_congr {p q : α → Prop} {f : Π a, p a → β} {g : Π a, q a → β}
(s : multiset α) {H₁ H₂} (h : ∀ a h₁ h₂, f a h₁ = g a h₂) :
pmap f s H₁ = pmap g s H₂ :=
quot.induction_on s (λ l H₁ H₂, congr_arg coe $ pmap_congr l h) H₁ H₂
theorem map_pmap {p : α → Prop} (g : β → γ) (f : Π a, p a → β)
(s) : ∀ H, map g (pmap f s H) = pmap (λ a h, g (f a h)) s H :=
quot.induction_on s $ λ l H, congr_arg coe $ map_pmap g f l H
theorem pmap_eq_map_attach {p : α → Prop} (f : Π a, p a → β)
(s) : ∀ H, pmap f s H = s.attach.map (λ x, f x.1 (H _ x.2)) :=
quot.induction_on s $ λ l H, congr_arg coe $ pmap_eq_map_attach f l H
theorem attach_map_val (s : multiset α) : s.attach.map subtype.val = s :=
quot.induction_on s $ λ l, congr_arg coe $ attach_map_val l
@[simp] theorem mem_attach (s : multiset α) : ∀ x, x ∈ s.attach :=
quot.induction_on s $ λ l, mem_attach _
@[simp] theorem mem_pmap {p : α → Prop} {f : Π a, p a → β}
{s H b} : b ∈ pmap f s H ↔ ∃ a (h : a ∈ s), f a (H a h) = b :=
quot.induction_on s (λ l H, mem_pmap) H
@[simp] theorem card_pmap {p : α → Prop} (f : Π a, p a → β)
(s H) : card (pmap f s H) = card s :=
quot.induction_on s (λ l H, length_pmap) H
@[simp] theorem card_attach {m : multiset α} : card (attach m) = card m := card_pmap _ _ _
@[simp] lemma attach_zero : (0 : multiset α).attach = 0 := rfl
lemma attach_cons (a : α) (m : multiset α) :
(a :: m).attach = ⟨a, mem_cons_self a m⟩ :: (m.attach.map $ λp, ⟨p.1, mem_cons_of_mem p.2⟩) :=
quotient.induction_on m $ assume l, congr_arg coe $ congr_arg (list.cons _) $
by rw [list.map_pmap]; exact list.pmap_congr _ (assume a' h₁ h₂, subtype.eq rfl)
section decidable_pi_exists
variables {m : multiset α}
protected def decidable_forall_multiset {p : α → Prop} [hp : ∀a, decidable (p a)] :
decidable (∀a∈m, p a) :=
quotient.rec_on_subsingleton m (λl, decidable_of_iff (∀a∈l, p a) $ by simp)
instance decidable_dforall_multiset {p : Πa∈m, Prop} [hp : ∀a (h : a ∈ m), decidable (p a h)] :
decidable (∀a (h : a ∈ m), p a h) :=
decidable_of_decidable_of_iff
(@multiset.decidable_forall_multiset {a // a ∈ m} m.attach (λa, p a.1 a.2) _)
(iff.intro (assume h a ha, h ⟨a, ha⟩ (mem_attach _ _)) (assume h ⟨a, ha⟩ _, h _ _))
/-- decidable equality for functions whose domain is bounded by multisets -/
instance decidable_eq_pi_multiset {β : α → Type*} [h : ∀a, decidable_eq (β a)] :
decidable_eq (Πa∈m, β a) :=
assume f g, decidable_of_iff (∀a (h : a ∈ m), f a h = g a h) (by simp [function.funext_iff])
def decidable_exists_multiset {p : α → Prop} [decidable_pred p] :
decidable (∃ x ∈ m, p x) :=
quotient.rec_on_subsingleton m list.decidable_exists_mem
instance decidable_dexists_multiset {p : Πa∈m, Prop} [hp : ∀a (h : a ∈ m), decidable (p a h)] :
decidable (∃a (h : a ∈ m), p a h) :=
decidable_of_decidable_of_iff
(@multiset.decidable_exists_multiset {a // a ∈ m} m.attach (λa, p a.1 a.2) _)
(iff.intro (λ ⟨⟨a, ha₁⟩, _, ha₂⟩, ⟨a, ha₁, ha₂⟩)
(λ ⟨a, ha₁, ha₂⟩, ⟨⟨a, ha₁⟩, mem_attach _ _, ha₂⟩))
end decidable_pi_exists
/- subtraction -/
section
variables [decidable_eq α] {s t u : multiset α} {a b : α}
/-- `s - t` is the multiset such that
`count a (s - t) = count a s - count a t` for all `a`. -/
protected def sub (s t : multiset α) : multiset α :=
quotient.lift_on₂ s t (λ l₁ l₂, (l₁.diff l₂ : multiset α)) $ λ v₁ v₂ w₁ w₂ p₁ p₂,
quot.sound $ perm_diff_right w₁ p₂ ▸ perm_diff_left _ p₁
instance : has_sub (multiset α) := ⟨multiset.sub⟩
@[simp] theorem coe_sub (s t : list α) : (s - t : multiset α) = (s.diff t : list α) := rfl
theorem sub_eq_fold_erase (s t : multiset α) : s - t = foldl erase erase_comm s t :=
quotient.induction_on₂ s t $ λ l₁ l₂,
show ↑(l₁.diff l₂) = foldl erase erase_comm ↑l₁ ↑l₂,
by rw diff_eq_foldl l₁ l₂; exact foldl_hom _ _ _ _ (λ x y, rfl) _
@[simp] theorem sub_zero (s : multiset α) : s - 0 = s :=
quot.induction_on s $ λ l, rfl
@[simp] theorem sub_cons (a : α) (s t : multiset α) : s - a::t = s.erase a - t :=
quotient.induction_on₂ s t $ λ l₁ l₂, congr_arg coe $ diff_cons _ _ _
theorem add_sub_of_le (h : s ≤ t) : s + (t - s) = t :=
begin
revert t,
refine multiset.induction_on s (by simp) (λ a s IH t h, _),
have := cons_erase (mem_of_le h (mem_cons_self _ _)),
rw [cons_add, sub_cons, IH, this],
exact (cons_le_cons_iff a).1 (this.symm ▸ h)
end
theorem sub_add' : s - (t + u) = s - t - u :=
quotient.induction_on₃ s t u $
λ l₁ l₂ l₃, congr_arg coe $ diff_append _ _ _
theorem sub_add_cancel (h : t ≤ s) : s - t + t = s :=
by rw [add_comm, add_sub_of_le h]
theorem add_sub_cancel_left (s : multiset α) : ∀ t, s + t - s = t :=
multiset.induction_on s (by simp)
(λ a s IH t, by rw [cons_add, sub_cons, erase_cons_head, IH])
theorem add_sub_cancel (s t : multiset α) : s + t - t = s :=
by rw [add_comm, add_sub_cancel_left]
theorem sub_le_sub_right (h : s ≤ t) (u) : s - u ≤ t - u :=
by revert s t h; exact
multiset.induction_on u (by simp {contextual := tt})
(λ a u IH s t h, by simp [IH, erase_le_erase a h])
theorem sub_le_sub_left (h : s ≤ t) : ∀ u, u - t ≤ u - s :=
le_induction_on h $ λ l₁ l₂ h, begin
induction h with l₁ l₂ a s IH l₁ l₂ a s IH; intro u,
{ refl },
{ rw [← cons_coe, sub_cons],
exact le_trans (sub_le_sub_right (erase_le _ _) _) (IH u) },
{ rw [← cons_coe, sub_cons, ← cons_coe, sub_cons],
exact IH _ }
end
theorem sub_le_iff_le_add : s - t ≤ u ↔ s ≤ u + t :=
by revert s; exact
multiset.induction_on t (by simp)
(λ a t IH s, by simp [IH, erase_le_iff_le_cons])
theorem le_sub_add (s t : multiset α) : s ≤ s - t + t :=
sub_le_iff_le_add.1 (le_refl _)
theorem sub_le_self (s t : multiset α) : s - t ≤ s :=
sub_le_iff_le_add.2 (le_add_right _ _)
@[simp] theorem card_sub {s t : multiset α} (h : t ≤ s) : card (s - t) = card s - card t :=
(nat.sub_eq_of_eq_add $ by rw [add_comm, ← card_add, sub_add_cancel h]).symm
/- union -/
/-- `s ∪ t` is the lattice join operation with respect to the
multiset `≤`. The multiplicity of `a` in `s ∪ t` is the maximum
of the multiplicities in `s` and `t`. -/
def union (s t : multiset α) : multiset α := s - t + t
instance : has_union (multiset α) := ⟨union⟩
theorem union_def (s t : multiset α) : s ∪ t = s - t + t := rfl
theorem le_union_left (s t : multiset α) : s ≤ s ∪ t := le_sub_add _ _
theorem le_union_right (s t : multiset α) : t ≤ s ∪ t := le_add_left _ _
theorem eq_union_left : t ≤ s → s ∪ t = s := sub_add_cancel
theorem union_le_union_right (h : s ≤ t) (u) : s ∪ u ≤ t ∪ u :=
add_le_add_right (sub_le_sub_right h _) u
theorem union_le (h₁ : s ≤ u) (h₂ : t ≤ u) : s ∪ t ≤ u :=
by rw ← eq_union_left h₂; exact union_le_union_right h₁ t
@[simp] theorem mem_union : a ∈ s ∪ t ↔ a ∈ s ∨ a ∈ t :=
⟨λ h, (mem_add.1 h).imp_left (mem_of_le $ sub_le_self _ _),
or.rec (mem_of_le $ le_union_left _ _) (mem_of_le $ le_union_right _ _)⟩
@[simp] theorem map_union [decidable_eq β] {f : α → β} (finj : function.injective f) {s t : multiset α} :
map f (s ∪ t) = map f s ∪ map f t :=
quotient.induction_on₂ s t $ λ l₁ l₂,
congr_arg coe (by rw [list.map_append f, list.map_diff finj])
/- inter -/
/-- `s ∩ t` is the lattice meet operation with respect to the
multiset `≤`. The multiplicity of `a` in `s ∩ t` is the minimum
of the multiplicities in `s` and `t`. -/
def inter (s t : multiset α) : multiset α :=
quotient.lift_on₂ s t (λ l₁ l₂, (l₁.bag_inter l₂ : multiset α)) $ λ v₁ v₂ w₁ w₂ p₁ p₂,
quot.sound $ perm_bag_inter_right w₁ p₂ ▸ perm_bag_inter_left _ p₁
instance : has_inter (multiset α) := ⟨inter⟩
@[simp] theorem inter_zero (s : multiset α) : s ∩ 0 = 0 :=
quot.induction_on s $ λ l, congr_arg coe l.bag_inter_nil
@[simp] theorem zero_inter (s : multiset α) : 0 ∩ s = 0 :=
quot.induction_on s $ λ l, congr_arg coe l.nil_bag_inter
@[simp] theorem cons_inter_of_pos {a} (s : multiset α) {t} :
a ∈ t → (a :: s) ∩ t = a :: s ∩ t.erase a :=
quotient.induction_on₂ s t $ λ l₁ l₂ h,
congr_arg coe $ cons_bag_inter_of_pos _ h
@[simp] theorem cons_inter_of_neg {a} (s : multiset α) {t} :
a ∉ t → (a :: s) ∩ t = s ∩ t :=
quotient.induction_on₂ s t $ λ l₁ l₂ h,
congr_arg coe $ cons_bag_inter_of_neg _ h
theorem inter_le_left (s t : multiset α) : s ∩ t ≤ s :=
quotient.induction_on₂ s t $ λ l₁ l₂,
subperm_of_sublist $ bag_inter_sublist_left _ _
theorem inter_le_right (s : multiset α) : ∀ t, s ∩ t ≤ t :=
multiset.induction_on s (λ t, (zero_inter t).symm ▸ zero_le _) $
λ a s IH t, if h : a ∈ t
then by simpa [h] using cons_le_cons a (IH (t.erase a))
else by simp [h, IH]
theorem le_inter (h₁ : s ≤ t) (h₂ : s ≤ u) : s ≤ t ∩ u :=
begin
revert s u, refine multiset.induction_on t _ (λ a t IH, _); intros,
{ simp [h₁] },
by_cases a ∈ u,
{ rw [cons_inter_of_pos _ h, ← erase_le_iff_le_cons],
exact IH (erase_le_iff_le_cons.2 h₁) (erase_le_erase _ h₂) },
{ rw cons_inter_of_neg _ h,
exact IH ((le_cons_of_not_mem $ mt (mem_of_le h₂) h).1 h₁) h₂ }
end
@[simp] theorem mem_inter : a ∈ s ∩ t ↔ a ∈ s ∧ a ∈ t :=
⟨λ h, ⟨mem_of_le (inter_le_left _ _) h, mem_of_le (inter_le_right _ _) h⟩,
λ ⟨h₁, h₂⟩, by rw [← cons_erase h₁, cons_inter_of_pos _ h₂]; apply mem_cons_self⟩
instance : lattice (multiset α) :=
{ sup := (∪),
sup_le := @union_le _ _,
le_sup_left := le_union_left,
le_sup_right := le_union_right,
inf := (∩),
le_inf := @le_inter _ _,
inf_le_left := inter_le_left,
inf_le_right := inter_le_right,
..@multiset.partial_order α }
@[simp] theorem sup_eq_union (s t : multiset α) : s ⊔ t = s ∪ t := rfl
@[simp] theorem inf_eq_inter (s t : multiset α) : s ⊓ t = s ∩ t := rfl
@[simp] theorem le_inter_iff : s ≤ t ∩ u ↔ s ≤ t ∧ s ≤ u := le_inf_iff
@[simp] theorem union_le_iff : s ∪ t ≤ u ↔ s ≤ u ∧ t ≤ u := sup_le_iff
instance : semilattice_inf_bot (multiset α) :=
{ bot := 0, bot_le := zero_le, ..multiset.lattice.lattice }
theorem union_comm (s t : multiset α) : s ∪ t = t ∪ s := sup_comm
theorem inter_comm (s t : multiset α) : s ∩ t = t ∩ s := inf_comm
theorem eq_union_right (h : s ≤ t) : s ∪ t = t :=
by rw [union_comm, eq_union_left h]
theorem union_le_union_left (h : s ≤ t) (u) : u ∪ s ≤ u ∪ t :=
sup_le_sup_left h _
theorem union_le_add (s t : multiset α) : s ∪ t ≤ s + t :=
union_le (le_add_right _ _) (le_add_left _ _)
theorem union_add_distrib (s t u : multiset α) : (s ∪ t) + u = (s + u) ∪ (t + u) :=
by simpa [(∪), union, eq_comm] using show s + u - (t + u) = s - t,
by rw [add_comm t, sub_add', add_sub_cancel]
theorem add_union_distrib (s t u : multiset α) : s + (t ∪ u) = (s + t) ∪ (s + u) :=
by rw [add_comm, union_add_distrib, add_comm s, add_comm s]
theorem cons_union_distrib (a : α) (s t : multiset α) : a :: (s ∪ t) = (a :: s) ∪ (a :: t) :=
by simpa using add_union_distrib (a::0) s t
theorem inter_add_distrib (s t u : multiset α) : (s ∩ t) + u = (s + u) ∩ (t + u) :=
begin
by_contra h,
cases lt_iff_cons_le.1 (lt_of_le_of_ne (le_inter
(add_le_add_right (inter_le_left s t) u)
(add_le_add_right (inter_le_right s t) u)) h) with a hl,
rw ← cons_add at hl,
exact not_le_of_lt (lt_cons_self (s ∩ t) a) (le_inter
(le_of_add_le_add_right (le_trans hl (inter_le_left _ _)))
(le_of_add_le_add_right (le_trans hl (inter_le_right _ _))))
end
theorem add_inter_distrib (s t u : multiset α) : s + (t ∩ u) = (s + t) ∩ (s + u) :=
by rw [add_comm, inter_add_distrib, add_comm s, add_comm s]
theorem cons_inter_distrib (a : α) (s t : multiset α) : a :: (s ∩ t) = (a :: s) ∩ (a :: t) :=
by simp
theorem union_add_inter (s t : multiset α) : s ∪ t + s ∩ t = s + t :=
begin
apply le_antisymm,
{ rw union_add_distrib,
refine union_le (add_le_add_left (inter_le_right _ _) _) _,
rw add_comm, exact add_le_add_right (inter_le_left _ _) _ },
{ rw [add_comm, add_inter_distrib],
refine le_inter (add_le_add_right (le_union_right _ _) _) _,
rw add_comm, exact add_le_add_right (le_union_left _ _) _ }
end
theorem sub_add_inter (s t : multiset α) : s - t + s ∩ t = s :=
begin
rw [inter_comm],
revert s, refine multiset.induction_on t (by simp) (λ a t IH s, _),
by_cases a ∈ s,
{ rw [cons_inter_of_pos _ h, sub_cons, add_cons, IH, cons_erase h] },
{ rw [cons_inter_of_neg _ h, sub_cons, erase_of_not_mem h, IH] }
end
theorem sub_inter (s t : multiset α) : s - (s ∩ t) = s - t :=
add_right_cancel $
by rw [sub_add_inter s t, sub_add_cancel (inter_le_left _ _)]
end
/- filter -/
section
variables {p : α → Prop} [decidable_pred p]
/-- `filter p s` returns the elements in `s` (with the same multiplicities)
which satisfy `p`, and removes the rest. -/
def filter (p : α → Prop) [h : decidable_pred p] (s : multiset α) : multiset α :=
quot.lift_on s (λ l, (filter p l : multiset α))
(λ l₁ l₂ h, quot.sound $ perm_filter p h)
@[simp] theorem coe_filter (p : α → Prop) [h : decidable_pred p]
(l : list α) : filter p (↑l) = l.filter p := rfl
@[simp] theorem filter_zero (p : α → Prop) [h : decidable_pred p] : filter p 0 = 0 := rfl
@[simp] theorem filter_cons_of_pos {a : α} (s) : p a → filter p (a::s) = a :: filter p s :=
quot.induction_on s $ λ l h, congr_arg coe $ filter_cons_of_pos l h
@[simp] theorem filter_cons_of_neg {a : α} (s) : ¬ p a → filter p (a::s) = filter p s :=
quot.induction_on s $ λ l h, @congr_arg _ _ _ _ coe $ filter_cons_of_neg l h
lemma filter_congr {p q : α → Prop} [decidable_pred p] [decidable_pred q]
{s : multiset α} : (∀ x ∈ s, p x ↔ q x) → filter p s = filter q s :=
quot.induction_on s $ λ l h, congr_arg coe $ filter_congr h
@[simp] theorem filter_add (s t : multiset α) :
filter p (s + t) = filter p s + filter p t :=
quotient.induction_on₂ s t $ λ l₁ l₂, congr_arg coe $ filter_append _ _
@[simp] theorem filter_le (s : multiset α) : filter p s ≤ s :=
quot.induction_on s $ λ l, subperm_of_sublist $ filter_sublist _
@[simp] theorem filter_subset (s : multiset α) : filter p s ⊆ s :=
subset_of_le $ filter_le _
@[simp] theorem mem_filter {a : α} {s} : a ∈ filter p s ↔ a ∈ s ∧ p a :=
quot.induction_on s $ λ l, mem_filter
theorem of_mem_filter {a : α} {s} (h : a ∈ filter p s) : p a :=
(mem_filter.1 h).2
theorem mem_of_mem_filter {a : α} {s} (h : a ∈ filter p s) : a ∈ s :=
(mem_filter.1 h).1
theorem mem_filter_of_mem {a : α} {l} (m : a ∈ l) (h : p a) : a ∈ filter p l :=
mem_filter.2 ⟨m, h⟩
theorem filter_eq_self {s} : filter p s = s ↔ ∀ a ∈ s, p a :=
quot.induction_on s $ λ l, iff.trans ⟨λ h,
eq_of_sublist_of_length_eq (filter_sublist _) (@congr_arg _ _ _ _ card h),
congr_arg coe⟩ filter_eq_self
theorem filter_eq_nil {s} : filter p s = 0 ↔ ∀ a ∈ s, ¬p a :=
quot.induction_on s $ λ l, iff.trans ⟨λ h,
eq_nil_of_length_eq_zero (@congr_arg _ _ _ _ card h),
congr_arg coe⟩ filter_eq_nil
theorem filter_le_filter {s t} (h : s ≤ t) : filter p s ≤ filter p t :=
le_induction_on h $ λ l₁ l₂ h, subperm_of_sublist $ filter_sublist_filter h
theorem le_filter {s t} : s ≤ filter p t ↔ s ≤ t ∧ ∀ a ∈ s, p a :=
⟨λ h, ⟨le_trans h (filter_le _), λ a m, of_mem_filter (mem_of_le h m)⟩,
λ ⟨h, al⟩, filter_eq_self.2 al ▸ filter_le_filter h⟩
@[simp] theorem filter_sub [decidable_eq α] (s t : multiset α) :
filter p (s - t) = filter p s - filter p t :=
begin
revert s, refine multiset.induction_on t (by simp) (λ a t IH s, _),
rw [sub_cons, IH],
by_cases p a,
{ rw [filter_cons_of_pos _ h, sub_cons], congr,
by_cases m : a ∈ s,
{ rw [← cons_inj_right a, ← filter_cons_of_pos _ h,
cons_erase (mem_filter_of_mem m h), cons_erase m] },
{ rw [erase_of_not_mem m, erase_of_not_mem (mt mem_of_mem_filter m)] } },
{ rw [filter_cons_of_neg _ h],
by_cases m : a ∈ s,
{ rw [(by rw filter_cons_of_neg _ h : filter p (erase s a) = filter p (a :: erase s a)),
cons_erase m] },
{ rw [erase_of_not_mem m] } }
end
@[simp] theorem filter_union [decidable_eq α] (s t : multiset α) :
filter p (s ∪ t) = filter p s ∪ filter p t :=
by simp [(∪), union]
@[simp] theorem filter_inter [decidable_eq α] (s t : multiset α) :
filter p (s ∩ t) = filter p s ∩ filter p t :=
le_antisymm (le_inter
(filter_le_filter $ inter_le_left _ _)
(filter_le_filter $ inter_le_right _ _)) $ le_filter.2
⟨inf_le_inf (filter_le _) (filter_le _),
λ a h, of_mem_filter (mem_of_le (inter_le_left _ _) h)⟩
@[simp] theorem filter_filter {q} [decidable_pred q] (s : multiset α) :
filter p (filter q s) = filter (λ a, p a ∧ q a) s :=
quot.induction_on s $ λ l, congr_arg coe $ filter_filter l
theorem filter_add_filter {q} [decidable_pred q] (s : multiset α) :
filter p s + filter q s = filter (λ a, p a ∨ q a) s + filter (λ a, p a ∧ q a) s :=
multiset.induction_on s rfl $ λ a s IH,
by by_cases p a; by_cases q a; simp *
theorem filter_add_not (s : multiset α) :
filter p s + filter (λ a, ¬ p a) s = s :=
by rw [filter_add_filter, filter_eq_self.2, filter_eq_nil.2]; simp [decidable.em]
/- filter_map -/
/-- `filter_map f s` is a combination filter/map operation on `s`.
The function `f : α → option β` is applied to each element of `s`;
if `f a` is `some b` then `b` is added to the result, otherwise
`a` is removed from the resulting multiset. -/
def filter_map (f : α → option β) (s : multiset α) : multiset β :=
quot.lift_on s (λ l, (filter_map f l : multiset β))
(λ l₁ l₂ h, quot.sound $perm_filter_map f h)
@[simp] theorem coe_filter_map (f : α → option β) (l : list α) : filter_map f l = l.filter_map f := rfl
@[simp] theorem filter_map_zero (f : α → option β) : filter_map f 0 = 0 := rfl
@[simp] theorem filter_map_cons_none {f : α → option β} (a : α) (s : multiset α) (h : f a = none) :
filter_map f (a :: s) = filter_map f s :=
quot.induction_on s $ λ l, @congr_arg _ _ _ _ coe $ filter_map_cons_none a l h
@[simp] theorem filter_map_cons_some (f : α → option β)
(a : α) (s : multiset α) {b : β} (h : f a = some b) :
filter_map f (a :: s) = b :: filter_map f s :=
quot.induction_on s $ λ l, @congr_arg _ _ _ _ coe $ filter_map_cons_some f a l h
theorem filter_map_eq_map (f : α → β) : filter_map (some ∘ f) = map f :=
funext $ λ s, quot.induction_on s $ λ l,
@congr_arg _ _ _ _ coe $ congr_fun (filter_map_eq_map f) l
theorem filter_map_eq_filter (p : α → Prop) [decidable_pred p] :
filter_map (option.guard p) = filter p :=
funext $ λ s, quot.induction_on s $ λ l,
@congr_arg _ _ _ _ coe $ congr_fun (filter_map_eq_filter p) l
theorem filter_map_filter_map (f : α → option β) (g : β → option γ) (s : multiset α) :
filter_map g (filter_map f s) = filter_map (λ x, (f x).bind g) s :=
quot.induction_on s $ λ l, congr_arg coe $ filter_map_filter_map f g l
theorem map_filter_map (f : α → option β) (g : β → γ) (s : multiset α) :
map g (filter_map f s) = filter_map (λ x, (f x).map g) s :=
quot.induction_on s $ λ l, congr_arg coe $ map_filter_map f g l
theorem filter_map_map (f : α → β) (g : β → option γ) (s : multiset α) :
filter_map g (map f s) = filter_map (g ∘ f) s :=
quot.induction_on s $ λ l, congr_arg coe $ filter_map_map f g l
theorem filter_filter_map (f : α → option β) (p : β → Prop) [decidable_pred p] (s : multiset α) :
filter p (filter_map f s) = filter_map (λ x, (f x).filter p) s :=
quot.induction_on s $ λ l, congr_arg coe $ filter_filter_map f p l
theorem filter_map_filter (p : α → Prop) [decidable_pred p] (f : α → option β) (s : multiset α) :
filter_map f (filter p s) = filter_map (λ x, if p x then f x else none) s :=
quot.induction_on s $ λ l, congr_arg coe $ filter_map_filter p f l
@[simp] theorem filter_map_some (s : multiset α) : filter_map some s = s :=
quot.induction_on s $ λ l, congr_arg coe $ filter_map_some l
@[simp] theorem mem_filter_map (f : α → option β) (s : multiset α) {b : β} :
b ∈ filter_map f s ↔ ∃ a, a ∈ s ∧ f a = some b :=
quot.induction_on s $ λ l, mem_filter_map f l
theorem map_filter_map_of_inv (f : α → option β) (g : β → α)
(H : ∀ x : α, (f x).map g = some x) (s : multiset α) :
map g (filter_map f s) = s :=
quot.induction_on s $ λ l, congr_arg coe $ map_filter_map_of_inv f g H l
theorem filter_map_le_filter_map (f : α → option β) {s t : multiset α}
(h : s ≤ t) : filter_map f s ≤ filter_map f t :=
le_induction_on h $ λ l₁ l₂ h,
subperm_of_sublist $ filter_map_sublist_filter_map _ h
/- powerset -/
def powerset_aux (l : list α) : list (multiset α) :=
0 :: sublists_aux l (λ x y, x :: y)
theorem powerset_aux_eq_map_coe {l : list α} :
powerset_aux l = (sublists l).map coe :=
by simp [powerset_aux, sublists];
rw [← show @sublists_aux₁ α (multiset α) l (λ x, [↑x]) =
sublists_aux l (λ x, list.cons ↑x),
from sublists_aux₁_eq_sublists_aux _ _,
sublists_aux_cons_eq_sublists_aux₁,
← bind_ret_eq_map, sublists_aux₁_bind]; refl
@[simp] theorem mem_powerset_aux {l : list α} {s} :
s ∈ powerset_aux l ↔ s ≤ ↑l :=
quotient.induction_on s $
by simp [powerset_aux_eq_map_coe, subperm, and.comm]
def powerset_aux' (l : list α) : list (multiset α) := (sublists' l).map coe
theorem powerset_aux_perm_powerset_aux' {l : list α} :
powerset_aux l ~ powerset_aux' l :=
by rw powerset_aux_eq_map_coe; exact
perm_map _ (sublists_perm_sublists' _)
@[simp] theorem powerset_aux'_nil : powerset_aux' (@nil α) = [0] := rfl
@[simp] theorem powerset_aux'_cons (a : α) (l : list α) :
powerset_aux' (a::l) = powerset_aux' l ++ list.map (cons a) (powerset_aux' l) :=
by simp [powerset_aux']; refl
theorem powerset_aux'_perm {l₁ l₂ : list α} (p : l₁ ~ l₂) :
powerset_aux' l₁ ~ powerset_aux' l₂ :=
begin
induction p with a l₁ l₂ p IH a b l l₁ l₂ l₃ p₁ p₂ IH₁ IH₂, {simp},
{ simp, exact perm_app IH (perm_map _ IH) },
{ simp, apply perm_app_right,
rw [← append_assoc, ← append_assoc,
(by funext s; simp [cons_swap] : cons b ∘ cons a = cons a ∘ cons b)],
exact perm_app_left _ perm_app_comm },
{ exact IH₁.trans IH₂ }
end
theorem powerset_aux_perm {l₁ l₂ : list α} (p : l₁ ~ l₂) :
powerset_aux l₁ ~ powerset_aux l₂ :=
powerset_aux_perm_powerset_aux'.trans $
(powerset_aux'_perm p).trans powerset_aux_perm_powerset_aux'.symm
def powerset (s : multiset α) : multiset (multiset α) :=
quot.lift_on s
(λ l, (powerset_aux l : multiset (multiset α)))
(λ l₁ l₂ h, quot.sound (powerset_aux_perm h))
theorem powerset_coe (l : list α) :
@powerset α l = ((sublists l).map coe : list (multiset α)) :=
congr_arg coe powerset_aux_eq_map_coe
@[simp] theorem powerset_coe' (l : list α) :
@powerset α l = ((sublists' l).map coe : list (multiset α)) :=
quot.sound powerset_aux_perm_powerset_aux'
@[simp] theorem powerset_zero : @powerset α 0 = 0::0 := rfl
@[simp] theorem powerset_cons (a : α) (s) :
powerset (a::s) = powerset s + map (cons a) (powerset s) :=
quotient.induction_on s $ λ l, by simp; refl
@[simp] theorem mem_powerset {s t : multiset α} :
s ∈ powerset t ↔ s ≤ t :=
quotient.induction_on₂ s t $ by simp [subperm, and.comm]
theorem map_single_le_powerset (s : multiset α) :
s.map (λ a, a::0) ≤ powerset s :=
quotient.induction_on s $ λ l, begin
simp [powerset_coe],
show l.map (coe ∘ list.ret) <+~ (sublists l).map coe,
rw ← list.map_map,
exact subperm_of_sublist
(map_sublist_map _ (map_ret_sublist_sublists _))
end
@[simp] theorem card_powerset (s : multiset α) :
card (powerset s) = 2 ^ card s :=
quotient.induction_on s $ by simp
/- diagonal -/
theorem revzip_powerset_aux {l : list α} ⦃s t⦄
(h : (s, t) ∈ revzip (powerset_aux l)) : s + t = ↑l :=
begin
rw [revzip, powerset_aux_eq_map_coe, ← map_reverse, zip_map, ← revzip] at h,
simp at h, rcases h with ⟨l₁, l₂, h, rfl, rfl⟩,
exact quot.sound (revzip_sublists _ _ _ h)
end
theorem revzip_powerset_aux' {l : list α} ⦃s t⦄
(h : (s, t) ∈ revzip (powerset_aux' l)) : s + t = ↑l :=
begin
rw [revzip, powerset_aux', ← map_reverse, zip_map, ← revzip] at h,
simp at h, rcases h with ⟨l₁, l₂, h, rfl, rfl⟩,
exact quot.sound (revzip_sublists' _ _ _ h)
end
theorem revzip_powerset_aux_lemma [decidable_eq α] (l : list α)
{l' : list (multiset α)} (H : ∀ ⦃s t⦄, (s, t) ∈ revzip l' → s + t = ↑l) :
revzip l' = l'.map (λ x, (x, ↑l - x)) :=
begin
have : forall₂ (λ (p : multiset α × multiset α) (s : multiset α), p = (s, ↑l - s))
(revzip l') ((revzip l').map prod.fst),
{ rw forall₂_map_right_iff,
apply forall₂_same, rintro ⟨s, t⟩ h,
dsimp, rw [← H h, add_sub_cancel_left] },
rw [← forall₂_eq_eq_eq, forall₂_map_right_iff], simpa
end
theorem revzip_powerset_aux_perm_aux' {l : list α} :
revzip (powerset_aux l) ~ revzip (powerset_aux' l) :=
begin
haveI := classical.dec_eq α,
rw [revzip_powerset_aux_lemma l revzip_powerset_aux,
revzip_powerset_aux_lemma l revzip_powerset_aux'],
exact perm_map _ powerset_aux_perm_powerset_aux',
end
theorem revzip_powerset_aux_perm {l₁ l₂ : list α} (p : l₁ ~ l₂) :
revzip (powerset_aux l₁) ~ revzip (powerset_aux l₂) :=
begin
haveI := classical.dec_eq α,
simp [λ l:list α, revzip_powerset_aux_lemma l revzip_powerset_aux, coe_eq_coe.2 p],
exact perm_map _ (powerset_aux_perm p)
end
def diagonal (s : multiset α) : multiset (multiset α × multiset α) :=
quot.lift_on s
(λ l, (revzip (powerset_aux l) : multiset (multiset α × multiset α)))
(λ l₁ l₂ h, quot.sound (revzip_powerset_aux_perm h))
theorem diagonal_coe (l : list α) :
@diagonal α l = revzip (powerset_aux l) := rfl
@[simp] theorem diagonal_coe' (l : list α) :
@diagonal α l = revzip (powerset_aux' l) :=
quot.sound revzip_powerset_aux_perm_aux'
@[simp] theorem mem_diagonal {s₁ s₂ t : multiset α} :
(s₁, s₂) ∈ diagonal t ↔ s₁ + s₂ = t :=
quotient.induction_on t $ λ l, begin
simp [diagonal_coe], refine ⟨λ h, revzip_powerset_aux h, λ h, _⟩,
haveI := classical.dec_eq α,
simp [revzip_powerset_aux_lemma l revzip_powerset_aux, h.symm],
exact ⟨_, le_add_right _ _, rfl, add_sub_cancel_left _ _⟩
end
@[simp] theorem diagonal_map_fst (s : multiset α) :
(diagonal s).map prod.fst = powerset s :=
quotient.induction_on s $ λ l,
by simp [powerset_aux']
@[simp] theorem diagonal_map_snd (s : multiset α) :
(diagonal s).map prod.snd = powerset s :=
quotient.induction_on s $ λ l,
by simp [powerset_aux']
@[simp] theorem diagonal_zero : @diagonal α 0 = (0, 0)::0 := rfl
@[simp] theorem diagonal_cons (a : α) (s) : diagonal (a::s) =
map (prod.map id (cons a)) (diagonal s) +
map (prod.map (cons a) id) (diagonal s) :=
quotient.induction_on s $ λ l, begin
simp [revzip, reverse_append],
rw [← zip_map, ← zip_map, zip_append, (_ : _++_=_)],
{congr; simp}, {simp}
end
@[simp] theorem card_diagonal (s : multiset α) :
card (diagonal s) = 2 ^ card s :=
by have := card_powerset s;
rwa [← diagonal_map_fst, card_map] at this
lemma prod_map_add [comm_semiring β] {s : multiset α} {f g : α → β} :
prod (s.map (λa, f a + g a)) = sum ((diagonal s).map (λp, (p.1.map f).prod * (p.2.map g).prod)) :=
begin
refine s.induction_on _ _,
{ simp },
{ assume a s ih, simp [ih, add_mul, mul_comm, mul_left_comm, mul_assoc, sum_map_mul_left.symm] },
end
/- countp -/
/-- `countp p s` counts the number of elements of `s` (with multiplicity) that
satisfy `p`. -/
def countp (p : α → Prop) [decidable_pred p] (s : multiset α) : ℕ :=
quot.lift_on s (countp p) (λ l₁ l₂, perm_countp p)
@[simp] theorem coe_countp (l : list α) : countp p l = l.countp p := rfl
@[simp] theorem countp_zero (p : α → Prop) [decidable_pred p] : countp p 0 = 0 := rfl
@[simp] theorem countp_cons_of_pos {a : α} (s) : p a → countp p (a::s) = countp p s + 1 :=
quot.induction_on s countp_cons_of_pos
@[simp] theorem countp_cons_of_neg {a : α} (s) : ¬ p a → countp p (a::s) = countp p s :=
quot.induction_on s countp_cons_of_neg
theorem countp_eq_card_filter (s) : countp p s = card (filter p s) :=
quot.induction_on s $ λ l, countp_eq_length_filter _
@[simp] theorem countp_add (s t) : countp p (s + t) = countp p s + countp p t :=
by simp [countp_eq_card_filter]
theorem countp_pos {s} : 0 < countp p s ↔ ∃ a ∈ s, p a :=
by simp [countp_eq_card_filter, card_pos_iff_exists_mem]
@[simp] theorem countp_sub [decidable_eq α] {s t : multiset α} (h : t ≤ s) :
countp p (s - t) = countp p s - countp p t :=
by simp [countp_eq_card_filter, h, filter_le_filter]
theorem countp_pos_of_mem {s a} (h : a ∈ s) (pa : p a) : 0 < countp p s :=
countp_pos.2 ⟨_, h, pa⟩
theorem countp_le_of_le {s t} (h : s ≤ t) : countp p s ≤ countp p t :=
by simpa [countp_eq_card_filter] using card_le_of_le (filter_le_filter h)
@[simp] theorem countp_filter {q} [decidable_pred q] (s : multiset α) :
countp p (filter q s) = countp (λ a, p a ∧ q a) s :=
by simp [countp_eq_card_filter]
end
/- count -/
section
variable [decidable_eq α]
/-- `count a s` is the multiplicity of `a` in `s`. -/
def count (a : α) : multiset α → ℕ := countp (eq a)
@[simp] theorem coe_count (a : α) (l : list α) : count a (↑l) = l.count a := coe_countp _
@[simp] theorem count_zero (a : α) : count a 0 = 0 := rfl
@[simp] theorem count_cons_self (a : α) (s : multiset α) : count a (a::s) = succ (count a s) :=
countp_cons_of_pos _ rfl
@[simp] theorem count_cons_of_ne {a b : α} (h : a ≠ b) (s : multiset α) : count a (b::s) = count a s :=
countp_cons_of_neg _ h
theorem count_le_of_le (a : α) {s t} : s ≤ t → count a s ≤ count a t :=
countp_le_of_le
theorem count_le_count_cons (a b : α) (s : multiset α) : count a s ≤ count a (b :: s) :=
count_le_of_le _ (le_cons_self _ _)
theorem count_singleton (a : α) : count a (a::0) = 1 :=
by simp
@[simp] theorem count_add (a : α) : ∀ s t, count a (s + t) = count a s + count a t :=
countp_add
@[simp] theorem count_smul (a : α) (n s) : count a (n • s) = n * count a s :=
by induction n; simp [*, succ_smul', succ_mul]
theorem count_pos {a : α} {s : multiset α} : 0 < count a s ↔ a ∈ s :=
by simp [count, countp_pos]
@[simp] theorem count_eq_zero_of_not_mem {a : α} {s : multiset α} (h : a ∉ s) : count a s = 0 :=
by_contradiction $ λ h', h $ count_pos.1 (nat.pos_of_ne_zero h')
theorem count_eq_zero {a : α} {s : multiset α} : count a s = 0 ↔ a ∉ s :=
iff_not_comm.1 $ count_pos.symm.trans pos_iff_ne_zero
@[simp] theorem count_repeat (a : α) (n : ℕ) : count a (repeat a n) = n :=
by simp [repeat]
@[simp] theorem count_erase_self (a : α) (s : multiset α) : count a (erase s a) = pred (count a s) :=
begin
by_cases a ∈ s,
{ rw [(by rw cons_erase h : count a s = count a (a::erase s a)),
count_cons_self]; refl },
{ rw [erase_of_not_mem h, count_eq_zero.2 h]; refl }
end
@[simp] theorem count_erase_of_ne {a b : α} (ab : a ≠ b) (s : multiset α) : count a (erase s b) = count a s :=
begin
by_cases b ∈ s,
{ rw [← count_cons_of_ne ab, cons_erase h] },
{ rw [erase_of_not_mem h] }
end
@[simp] theorem count_sub (a : α) (s t : multiset α) : count a (s - t) = count a s - count a t :=
begin
revert s, refine multiset.induction_on t (by simp) (λ b t IH s, _),
rw [sub_cons, IH],
by_cases ab : a = b,
{ subst b, rw [count_erase_self, count_cons_self, sub_succ, pred_sub] },
{ rw [count_erase_of_ne ab, count_cons_of_ne ab] }
end
@[simp] theorem count_union (a : α) (s t : multiset α) : count a (s ∪ t) = max (count a s) (count a t) :=
by simp [(∪), union, sub_add_eq_max, -add_comm]
@[simp] theorem count_inter (a : α) (s t : multiset α) : count a (s ∩ t) = min (count a s) (count a t) :=
begin
apply @nat.add_left_cancel (count a (s - t)),
rw [← count_add, sub_add_inter, count_sub, sub_add_min],
end
lemma count_bind {m : multiset β} {f : β → multiset α} {a : α} :
count a (bind m f) = sum (m.map $ λb, count a $ f b) :=
multiset.induction_on m (by simp) (by simp)
theorem le_count_iff_repeat_le {a : α} {s : multiset α} {n : ℕ} : n ≤ count a s ↔ repeat a n ≤ s :=
quot.induction_on s $ λ l, le_count_iff_repeat_sublist.trans repeat_le_coe.symm
@[simp] theorem count_filter {p} [decidable_pred p]
{a} {s : multiset α} (h : p a) : count a (filter p s) = count a s :=
quot.induction_on s $ λ l, count_filter h
theorem ext {s t : multiset α} : s = t ↔ ∀ a, count a s = count a t :=
quotient.induction_on₂ s t $ λ l₁ l₂, quotient.eq.trans perm_iff_count
@[extensionality]
theorem ext' {s t : multiset α} : (∀ a, count a s = count a t) → s = t :=
ext.2
theorem le_iff_count {s t : multiset α} : s ≤ t ↔ ∀ a, count a s ≤ count a t :=
⟨λ h a, count_le_of_le a h, λ al,
by rw ← (ext.2 (λ a, by simp [max_eq_right (al a)]) : s ∪ t = t);
apply le_union_left⟩
instance : distrib_lattice (multiset α) :=
{ le_sup_inf := λ s t u, le_of_eq $ eq.symm $
ext.2 $ λ a, by simp [max_min_distrib_left],
..multiset.lattice.lattice }
instance : semilattice_sup_bot (multiset α) :=
{ bot := 0,
bot_le := zero_le,
..multiset.lattice.lattice }
end
/- relator -/
section rel
/-- `rel r s t` -- lift the relation `r` between two elements to a relation between `s` and `t`,
s.t. there is a one-to-one mapping betweem elements in `s` and `t` following `r`. -/
inductive rel (r : α → β → Prop) : multiset α → multiset β → Prop
| zero {} : rel 0 0
| cons {a b as bs} : r a b → rel as bs → rel (a :: as) (b :: bs)
run_cmd tactic.mk_iff_of_inductive_prop `multiset.rel `multiset.rel_iff
variables {δ : Type*} {r : α → β → Prop} {p : γ → δ → Prop}
private lemma rel_flip_aux {s t} (h : rel r s t) : rel (flip r) t s :=
rel.rec_on h rel.zero (assume _ _ _ _ h₀ h₁ ih, rel.cons h₀ ih)
lemma rel_flip {s t} : rel (flip r) s t ↔ rel r t s :=
⟨rel_flip_aux, rel_flip_aux⟩
lemma rel_eq_refl {s : multiset α} : rel (=) s s :=
multiset.induction_on s rel.zero (assume a s, rel.cons rfl)
lemma rel_eq {s t : multiset α} : rel (=) s t ↔ s = t :=
begin
split,
{ assume h, induction h; simp * },
{ assume h, subst h, exact rel_eq_refl }
end
lemma rel.mono {p : α → β → Prop} {s t} (h : ∀a b, r a b → p a b) (hst : rel r s t) : rel p s t :=
begin
induction hst,
case rel.zero { exact rel.zero },
case rel.cons : a b s t hab hst ih { exact ih.cons (h a b hab) }
end
lemma rel.add {s t u v} (hst : rel r s t) (huv : rel r u v) : rel r (s + u) (t + v) :=
begin
induction hst,
case rel.zero { simpa using huv },
case rel.cons : a b s t hab hst ih { simpa using ih.cons hab }
end
lemma rel_flip_eq {s t : multiset α} : rel (λa b, b = a) s t ↔ s = t :=
show rel (flip (=)) s t ↔ s = t, by rw [rel_flip, rel_eq, eq_comm]
@[simp] lemma rel_zero_left {b : multiset β} : rel r 0 b ↔ b = 0 :=
by rw [rel_iff]; simp
@[simp] lemma rel_zero_right {a : multiset α} : rel r a 0 ↔ a = 0 :=
by rw [rel_iff]; simp
lemma rel_cons_left {a as bs} :
rel r (a :: as) bs ↔ (∃b bs', r a b ∧ rel r as bs' ∧ bs = b :: bs') :=
begin
split,
{ generalize hm : a :: as = m,
assume h,
induction h generalizing as,
case rel.zero { simp at hm, contradiction },
case rel.cons : a' b as' bs ha'b h ih {
rcases cons_eq_cons.1 hm with ⟨eq₁, eq₂⟩ | ⟨h, cs, eq₁, eq₂⟩,
{ subst eq₁, subst eq₂, exact ⟨b, bs, ha'b, h, rfl⟩ },
{ rcases ih eq₂.symm with ⟨b', bs', h₁, h₂, eq⟩,
exact ⟨b', b::bs', h₁, eq₁.symm ▸ rel.cons ha'b h₂, eq.symm ▸ cons_swap _ _ _⟩ }
} },
{ exact assume ⟨b, bs', hab, h, eq⟩, eq.symm ▸ rel.cons hab h }
end
lemma rel_cons_right {as b bs} :
rel r as (b :: bs) ↔ (∃a as', r a b ∧ rel r as' bs ∧ as = a :: as') :=
begin
rw [← rel_flip, rel_cons_left],
apply exists_congr, assume a,
apply exists_congr, assume as',
rw [rel_flip, flip]
end
lemma rel_add_left {as₀ as₁} :
∀{bs}, rel r (as₀ + as₁) bs ↔ (∃bs₀ bs₁, rel r as₀ bs₀ ∧ rel r as₁ bs₁ ∧ bs = bs₀ + bs₁) :=
multiset.induction_on as₀ (by simp)
begin
assume a s ih bs,
simp only [ih, cons_add, rel_cons_left],
split,
{ assume h,
rcases h with ⟨b, bs', hab, h, rfl⟩,
rcases h with ⟨bs₀, bs₁, h₀, h₁, rfl⟩,
exact ⟨b :: bs₀, bs₁, ⟨b, bs₀, hab, h₀, rfl⟩, h₁, by simp⟩ },
{ assume h,
rcases h with ⟨bs₀, bs₁, h, h₁, rfl⟩,
rcases h with ⟨b, bs, hab, h₀, rfl⟩,
exact ⟨b, bs + bs₁, hab, ⟨bs, bs₁, h₀, h₁, rfl⟩, by simp⟩ }
end
lemma rel_add_right {as bs₀ bs₁} :
rel r as (bs₀ + bs₁) ↔ (∃as₀ as₁, rel r as₀ bs₀ ∧ rel r as₁ bs₁ ∧ as = as₀ + as₁) :=
by rw [← rel_flip, rel_add_left]; simp [rel_flip]
lemma rel_map_left {s : multiset γ} {f : γ → α} :
∀{t}, rel r (s.map f) t ↔ rel (λa b, r (f a) b) s t :=
multiset.induction_on s (by simp) (by simp [rel_cons_left] {contextual := tt})
lemma rel_map_right {s : multiset α} {t : multiset γ} {f : γ → β} :
rel r s (t.map f) ↔ rel (λa b, r a (f b)) s t :=
by rw [← rel_flip, rel_map_left, ← rel_flip]; refl
lemma rel_join {s t} (h : rel (rel r) s t) : rel r s.join t.join :=
begin
induction h,
case rel.zero { simp },
case rel.cons : a b s t hab hst ih { simpa using hab.add ih }
end
lemma rel_map {p : γ → δ → Prop} {s t} {f : α → γ} {g : β → δ} (h : (r ⇒ p) f g) (hst : rel r s t) :
rel p (s.map f) (t.map g) :=
by rw [rel_map_left, rel_map_right]; exact hst.mono (assume a b, h)
lemma rel_bind {p : γ → δ → Prop} {s t} {f : α → multiset γ} {g : β → multiset δ}
(h : (r ⇒ rel p) f g) (hst : rel r s t) :
rel p (s.bind f) (t.bind g) :=
by apply rel_join; apply rel_map; assumption
lemma card_eq_card_of_rel {r : α → β → Prop} {s : multiset α} {t : multiset β} (h : rel r s t) :
card s = card t :=
by induction h; simp [*]
end rel
section map
theorem map_eq_map {f : α → β} (hf : function.injective f) {s t : multiset α} :
s.map f = t.map f ↔ s = t :=
by rw [← rel_eq, ← rel_eq, rel_map_left, rel_map_right]; simp [hf.eq_iff]
theorem injective_map {f : α → β} (hf : function.injective f) :
function.injective (multiset.map f) :=
assume x y, (map_eq_map hf).1
end map
section quot
theorem map_mk_eq_map_mk_of_rel {r : α → α → Prop} {s t : multiset α} (hst : s.rel r t) :
s.map (quot.mk r) = t.map (quot.mk r) :=
rel.rec_on hst rfl $ assume a b s t hab hst ih, by simp [ih, quot.sound hab]
theorem exists_multiset_eq_map_quot_mk {r : α → α → Prop} (s : multiset (quot r)) :
∃t:multiset α, s = t.map (quot.mk r) :=
multiset.induction_on s ⟨0, rfl⟩ $
assume a s ⟨t, ht⟩, quot.induction_on a $ assume a, ht.symm ▸ ⟨a::t, (map_cons _ _ _).symm⟩
theorem induction_on_multiset_quot
{r : α → α → Prop} {p : multiset (quot r) → Prop} (s : multiset (quot r)) :
(∀s:multiset α, p (s.map (quot.mk r))) → p s :=
match s, exists_multiset_eq_map_quot_mk s with _, ⟨t, rfl⟩ := assume h, h _ end
end quot
/- disjoint -/
/-- `disjoint s t` means that `s` and `t` have no elements in common. -/
def disjoint (s t : multiset α) : Prop := ∀ ⦃a⦄, a ∈ s → a ∈ t → false
@[simp] theorem coe_disjoint (l₁ l₂ : list α) : @disjoint α l₁ l₂ ↔ l₁.disjoint l₂ := iff.rfl
theorem disjoint.symm {s t : multiset α} (d : disjoint s t) : disjoint t s
| a i₂ i₁ := d i₁ i₂
@[simp] theorem disjoint_comm {s t : multiset α} : disjoint s t ↔ disjoint t s :=
⟨disjoint.symm, disjoint.symm⟩
theorem disjoint_left {s t : multiset α} : disjoint s t ↔ ∀ {a}, a ∈ s → a ∉ t := iff.rfl
theorem disjoint_right {s t : multiset α} : disjoint s t ↔ ∀ {a}, a ∈ t → a ∉ s :=
disjoint_comm
theorem disjoint_iff_ne {s t : multiset α} : disjoint s t ↔ ∀ a ∈ s, ∀ b ∈ t, a ≠ b :=
by simp [disjoint_left, imp_not_comm]
theorem disjoint_of_subset_left {s t u : multiset α} (h : s ⊆ u) (d : disjoint u t) : disjoint s t
| x m₁ := d (h m₁)
theorem disjoint_of_subset_right {s t u : multiset α} (h : t ⊆ u) (d : disjoint s u) : disjoint s t
| x m m₁ := d m (h m₁)
theorem disjoint_of_le_left {s t u : multiset α} (h : s ≤ u) : disjoint u t → disjoint s t :=
disjoint_of_subset_left (subset_of_le h)
theorem disjoint_of_le_right {s t u : multiset α} (h : t ≤ u) : disjoint s u → disjoint s t :=
disjoint_of_subset_right (subset_of_le h)
@[simp] theorem zero_disjoint (l : multiset α) : disjoint 0 l
| a := (not_mem_nil a).elim
@[simp] theorem singleton_disjoint {l : multiset α} {a : α} : disjoint (a::0) l ↔ a ∉ l :=
by simp [disjoint]; refl
@[simp] theorem disjoint_singleton {l : multiset α} {a : α} : disjoint l (a::0) ↔ a ∉ l :=
by rw disjoint_comm; simp
@[simp] theorem disjoint_add_left {s t u : multiset α} :
disjoint (s + t) u ↔ disjoint s u ∧ disjoint t u :=
by simp [disjoint, or_imp_distrib, forall_and_distrib]
@[simp] theorem disjoint_add_right {s t u : multiset α} :
disjoint s (t + u) ↔ disjoint s t ∧ disjoint s u :=
disjoint_comm.trans $ by simp [disjoint_append_left]
@[simp] theorem disjoint_cons_left {a : α} {s t : multiset α} :
disjoint (a::s) t ↔ a ∉ t ∧ disjoint s t :=
(@disjoint_add_left _ (a::0) s t).trans $ by simp
@[simp] theorem disjoint_cons_right {a : α} {s t : multiset α} :
disjoint s (a::t) ↔ a ∉ s ∧ disjoint s t :=
disjoint_comm.trans $ by simp [disjoint_cons_left]
theorem inter_eq_zero_iff_disjoint [decidable_eq α] {s t : multiset α} : s ∩ t = 0 ↔ disjoint s t :=
by rw ← subset_zero; simp [subset_iff, disjoint]
@[simp] theorem disjoint_union_left [decidable_eq α] {s t u : multiset α} :
disjoint (s ∪ t) u ↔ disjoint s u ∧ disjoint t u :=
by simp [disjoint, or_imp_distrib, forall_and_distrib]
@[simp] theorem disjoint_union_right [decidable_eq α] {s t u : multiset α} :
disjoint s (t ∪ u) ↔ disjoint s t ∧ disjoint s u :=
by simp [disjoint, or_imp_distrib, forall_and_distrib]
lemma disjoint_map_map {f : α → γ} {g : β → γ} {s : multiset α} {t : multiset β} :
disjoint (s.map f) (t.map g) ↔ (∀a∈s, ∀b∈t, f a ≠ g b) :=
begin
simp [disjoint],
split,
from assume h a ha b hb eq, h _ ha rfl _ hb eq.symm,
from assume h c a ha eq₁ b hb eq₂, h _ ha _ hb (eq₂.symm ▸ eq₁)
end
/-- `pairwise r m` states that there exists a list of the elements s.t. `r` holds pairwise on this list. -/
def pairwise (r : α → α → Prop) (m : multiset α) : Prop :=
∃l:list α, m = l ∧ l.pairwise r
lemma pairwise_coe_iff_pairwise {r : α → α → Prop} (hr : symmetric r) {l : list α} :
multiset.pairwise r l ↔ l.pairwise r :=
iff.intro
(assume ⟨l', eq, h⟩, (list.perm_pairwise hr (quotient.exact eq)).2 h)
(assume h, ⟨l, rfl, h⟩)
/- nodup -/
/-- `nodup s` means that `s` has no duplicates, i.e. the multiplicity of
any element is at most 1. -/
def nodup (s : multiset α) : Prop :=
quot.lift_on s nodup (λ s t p, propext $ perm_nodup p)
@[simp] theorem coe_nodup {l : list α} : @nodup α l ↔ l.nodup := iff.rfl
@[simp] theorem forall_mem_ne {a : α} {l : list α} : (∀ (a' : α), a' ∈ l → ¬a = a') ↔ a ∉ l :=
⟨λ h m, h _ m rfl, λ h a' m e, h (e.symm ▸ m)⟩
@[simp] theorem nodup_zero : @nodup α 0 := pairwise.nil _
@[simp] theorem nodup_cons {a : α} {s : multiset α} : nodup (a::s) ↔ a ∉ s ∧ nodup s :=
quot.induction_on s $ λ l, nodup_cons
theorem nodup_cons_of_nodup {a : α} {s : multiset α} (m : a ∉ s) (n : nodup s) : nodup (a::s) :=
nodup_cons.2 ⟨m, n⟩
theorem nodup_singleton : ∀ a : α, nodup (a::0) := nodup_singleton
theorem nodup_of_nodup_cons {a : α} {s : multiset α} (h : nodup (a::s)) : nodup s :=
(nodup_cons.1 h).2
theorem not_mem_of_nodup_cons {a : α} {s : multiset α} (h : nodup (a::s)) : a ∉ s :=
(nodup_cons.1 h).1
theorem nodup_of_le {s t : multiset α} (h : s ≤ t) : nodup t → nodup s :=
le_induction_on h $ λ l₁ l₂, nodup_of_sublist
theorem not_nodup_pair : ∀ a : α, ¬ nodup (a::a::0) := not_nodup_pair
theorem nodup_iff_le {s : multiset α} : nodup s ↔ ∀ a : α, ¬ a::a::0 ≤ s :=
quot.induction_on s $ λ l, nodup_iff_sublist.trans $ forall_congr $ λ a,
not_congr (@repeat_le_coe _ a 2 _).symm
theorem nodup_iff_count_le_one [decidable_eq α] {s : multiset α} : nodup s ↔ ∀ a, count a s ≤ 1 :=
quot.induction_on s $ λ l, nodup_iff_count_le_one
@[simp] theorem count_eq_one_of_mem [decidable_eq α] {a : α} {s : multiset α}
(d : nodup s) (h : a ∈ s) : count a s = 1 :=
le_antisymm (nodup_iff_count_le_one.1 d a) (count_pos.2 h)
lemma pairwise_of_nodup {r : α → α → Prop} {s : multiset α} :
(∀a∈s, ∀b∈s, a ≠ b → r a b) → nodup s → pairwise r s :=
quotient.induction_on s $ assume l h hl, ⟨l, rfl, hl.imp_of_mem $ assume a b ha hb, h a ha b hb⟩
theorem nodup_add {s t : multiset α} : nodup (s + t) ↔ nodup s ∧ nodup t ∧ disjoint s t :=
quotient.induction_on₂ s t $ λ l₁ l₂, nodup_append
theorem disjoint_of_nodup_add {s t : multiset α} (d : nodup (s + t)) : disjoint s t :=
(nodup_add.1 d).2.2
theorem nodup_add_of_nodup {s t : multiset α} (d₁ : nodup s) (d₂ : nodup t) : nodup (s + t) ↔ disjoint s t :=
by simp [nodup_add, d₁, d₂]
theorem nodup_of_nodup_map (f : α → β) {s : multiset α} : nodup (map f s) → nodup s :=
quot.induction_on s $ λ l, nodup_of_nodup_map f
theorem nodup_map_on {f : α → β} {s : multiset α} : (∀x∈s, ∀y∈s, f x = f y → x = y) →
nodup s → nodup (map f s) :=
quot.induction_on s $ λ l, nodup_map_on
theorem nodup_map {f : α → β} {s : multiset α} (hf : function.injective f) : nodup s → nodup (map f s) :=
nodup_map_on (λ x _ y _ h, hf h)
theorem nodup_filter (p : α → Prop) [decidable_pred p] {s} : nodup s → nodup (filter p s) :=
quot.induction_on s $ λ l, nodup_filter p
@[simp] theorem nodup_attach {s : multiset α} : nodup (attach s) ↔ nodup s :=
quot.induction_on s $ λ l, nodup_attach
theorem nodup_pmap {p : α → Prop} {f : Π a, p a → β} {s : multiset α} {H}
(hf : ∀ a ha b hb, f a ha = f b hb → a = b) : nodup s → nodup (pmap f s H) :=
quot.induction_on s (λ l H, nodup_pmap hf) H
instance nodup_decidable [decidable_eq α] (s : multiset α) : decidable (nodup s) :=
quotient.rec_on_subsingleton s $ λ l, l.nodup_decidable
theorem nodup_erase_eq_filter [decidable_eq α] (a : α) {s} : nodup s → s.erase a = filter (≠ a) s :=
quot.induction_on s $ λ l d, congr_arg coe $ nodup_erase_eq_filter a d
theorem nodup_erase_of_nodup [decidable_eq α] (a : α) {l} : nodup l → nodup (l.erase a) :=
nodup_of_le (erase_le _ _)
theorem mem_erase_iff_of_nodup [decidable_eq α] {a b : α} {l} (d : nodup l) :
a ∈ l.erase b ↔ a ≠ b ∧ a ∈ l :=
by rw nodup_erase_eq_filter b d; simp [and_comm]
theorem mem_erase_of_nodup [decidable_eq α] {a : α} {l} (h : nodup l) : a ∉ l.erase a :=
by rw mem_erase_iff_of_nodup h; simp
theorem nodup_product {s : multiset α} {t : multiset β} : nodup s → nodup t → nodup (product s t) :=
quotient.induction_on₂ s t $ λ l₁ l₂ d₁ d₂, by simp [nodup_product d₁ d₂]
theorem nodup_sigma {σ : α → Type*} {s : multiset α} {t : Π a, multiset (σ a)} :
nodup s → (∀ a, nodup (t a)) → nodup (s.sigma t) :=
quot.induction_on s $ λ l₁,
let l₂ (a) : list (σ a) := classical.some (quotient.exists_rep (t a)) in
have t = λ a, l₂ a, from eq.symm $ funext $ λ a,
classical.some_spec (quotient.exists_rep (t a)),
by rw [this]; simpa using nodup_sigma
theorem nodup_filter_map (f : α → option β) {s : multiset α}
(H : ∀ (a a' : α) (b : β), b ∈ f a → b ∈ f a' → a = a') :
nodup s → nodup (filter_map f s) :=
quot.induction_on s $ λ l, nodup_filter_map H
theorem nodup_range (n : ℕ) : nodup (range n) := nodup_range _
theorem nodup_inter_left [decidable_eq α] {s : multiset α} (t) : nodup s → nodup (s ∩ t) :=
nodup_of_le $ inter_le_left _ _
theorem nodup_inter_right [decidable_eq α] (s) {t : multiset α} : nodup t → nodup (s ∩ t) :=
nodup_of_le $ inter_le_right _ _
@[simp] theorem nodup_union [decidable_eq α] {s t : multiset α} : nodup (s ∪ t) ↔ nodup s ∧ nodup t :=
⟨λ h, ⟨nodup_of_le (le_union_left _ _) h, nodup_of_le (le_union_right _ _) h⟩,
λ ⟨h₁, h₂⟩, nodup_iff_count_le_one.2 $ λ a, by rw [count_union]; exact
max_le (nodup_iff_count_le_one.1 h₁ a) (nodup_iff_count_le_one.1 h₂ a)⟩
@[simp] theorem nodup_powerset {s : multiset α} : nodup (powerset s) ↔ nodup s :=
⟨λ h, nodup_of_nodup_map _ (nodup_of_le (map_single_le_powerset _) h),
quotient.induction_on s $ λ l h,
by simp; refine list.nodup_map_on _ (nodup_sublists'.2 h); exact
λ x sx y sy e,
(perm_ext_sublist_nodup h (mem_sublists'.1 sx) (mem_sublists'.1 sy)).1
(quotient.exact e)⟩
@[simp] lemma nodup_bind {s : multiset α} {t : α → multiset β} :
nodup (bind s t) ↔ ((∀a∈s, nodup (t a)) ∧ (s.pairwise (λa b, disjoint (t a) (t b)))) :=
have h₁ : ∀a, ∃l:list β, t a = l, from
assume a, quot.induction_on (t a) $ assume l, ⟨l, rfl⟩,
let ⟨t', h'⟩ := classical.axiom_of_choice h₁ in
have t = λa, t' a, from funext h',
have hd : symmetric (λa b, list.disjoint (t' a) (t' b)), from assume a b h, h.symm,
quot.induction_on s $ by simp [this, list.nodup_bind, pairwise_coe_iff_pairwise hd]
theorem nodup_ext {s t : multiset α} : nodup s → nodup t → (s = t ↔ ∀ a, a ∈ s ↔ a ∈ t) :=
quotient.induction_on₂ s t $ λ l₁ l₂ d₁ d₂, quotient.eq.trans $ perm_ext d₁ d₂
theorem le_iff_subset {s t : multiset α} : nodup s → (s ≤ t ↔ s ⊆ t) :=
quotient.induction_on₂ s t $ λ l₁ l₂ d, ⟨subset_of_le, subperm_of_subset_nodup d⟩
theorem range_le {m n : ℕ} : range m ≤ range n ↔ m ≤ n :=
(le_iff_subset (nodup_range _)).trans range_subset
theorem mem_sub_of_nodup [decidable_eq α] {a : α} {s t : multiset α} (d : nodup s) :
a ∈ s - t ↔ a ∈ s ∧ a ∉ t :=
⟨λ h, ⟨mem_of_le (sub_le_self _ _) h, λ h',
by refine count_eq_zero.1 _ h; rw [count_sub a s t, nat.sub_eq_zero_iff_le];
exact le_trans (nodup_iff_count_le_one.1 d _) (count_pos.2 h')⟩,
λ ⟨h₁, h₂⟩, or.resolve_right (mem_add.1 $ mem_of_le (le_sub_add _ _) h₁) h₂⟩
section
variable [decidable_eq α]
/- erase_dup -/
/-- `erase_dup s` removes duplicates from `s`, yielding a `nodup` multiset. -/
def erase_dup (s : multiset α) : multiset α :=
quot.lift_on s (λ l, (l.erase_dup : multiset α))
(λ s t p, quot.sound (perm_erase_dup_of_perm p))
@[simp] theorem coe_erase_dup (l : list α) : @erase_dup α _ l = l.erase_dup := rfl
@[simp] theorem erase_dup_zero : @erase_dup α _ 0 = 0 := rfl
@[simp] theorem mem_erase_dup {a : α} {s : multiset α} : a ∈ erase_dup s ↔ a ∈ s :=
quot.induction_on s $ λ l, mem_erase_dup
@[simp] theorem erase_dup_cons_of_mem {a : α} {s : multiset α} : a ∈ s →
erase_dup (a::s) = erase_dup s :=
quot.induction_on s $ λ l m, @congr_arg _ _ _ _ coe $ erase_dup_cons_of_mem m
@[simp] theorem erase_dup_cons_of_not_mem {a : α} {s : multiset α} : a ∉ s →
erase_dup (a::s) = a :: erase_dup s :=
quot.induction_on s $ λ l m, congr_arg coe $ erase_dup_cons_of_not_mem m
theorem erase_dup_le (s : multiset α) : erase_dup s ≤ s :=
quot.induction_on s $ λ l, subperm_of_sublist $ erase_dup_sublist _
theorem erase_dup_subset (s : multiset α) : erase_dup s ⊆ s :=
subset_of_le $ erase_dup_le _
theorem subset_erase_dup (s : multiset α) : s ⊆ erase_dup s :=
λ a, mem_erase_dup.2
@[simp] theorem erase_dup_subset' {s t : multiset α} : erase_dup s ⊆ t ↔ s ⊆ t :=
⟨subset.trans (subset_erase_dup _), subset.trans (erase_dup_subset _)⟩
@[simp] theorem subset_erase_dup' {s t : multiset α} : s ⊆ erase_dup t ↔ s ⊆ t :=
⟨λ h, subset.trans h (erase_dup_subset _), λ h, subset.trans h (subset_erase_dup _)⟩
@[simp] theorem nodup_erase_dup (s : multiset α) : nodup (erase_dup s) :=
quot.induction_on s nodup_erase_dup
theorem erase_dup_eq_self {s : multiset α} : erase_dup s = s ↔ nodup s :=
⟨λ e, e ▸ nodup_erase_dup s,
quot.induction_on s $ λ l h, congr_arg coe $ erase_dup_eq_self.2 h⟩
@[simp] theorem erase_dup_singleton {a : α} : erase_dup (a :: 0) = a :: 0 :=
erase_dup_eq_self.2 $ nodup_singleton _
theorem le_erase_dup {s t : multiset α} : s ≤ erase_dup t ↔ s ≤ t ∧ nodup s :=
⟨λ h, ⟨le_trans h (erase_dup_le _), nodup_of_le h (nodup_erase_dup _)⟩,
λ ⟨l, d⟩, (le_iff_subset d).2 $ subset.trans (subset_of_le l) (subset_erase_dup _)⟩
theorem erase_dup_ext {s t : multiset α} : erase_dup s = erase_dup t ↔ ∀ a, a ∈ s ↔ a ∈ t :=
by simp [nodup_ext]
theorem erase_dup_map_erase_dup_eq [decidable_eq β] (f : α → β) (s : multiset α) :
erase_dup (map f (erase_dup s)) = erase_dup (map f s) := by simp [erase_dup_ext]
/- finset insert -/
/-- `ndinsert a s` is the lift of the list `insert` operation. This operation
does not respect multiplicities, unlike `cons`, but it is suitable as
an insert operation on `finset`. -/
def ndinsert (a : α) (s : multiset α) : multiset α :=
quot.lift_on s (λ l, (l.insert a : multiset α))
(λ s t p, quot.sound (perm_insert a p))
@[simp] theorem coe_ndinsert (a : α) (l : list α) : ndinsert a l = (insert a l : list α) := rfl
@[simp] theorem ndinsert_zero (a : α) : ndinsert a 0 = a::0 := rfl
@[simp] theorem ndinsert_of_mem {a : α} {s : multiset α} : a ∈ s → ndinsert a s = s :=
quot.induction_on s $ λ l h, congr_arg coe $ insert_of_mem h
@[simp] theorem ndinsert_of_not_mem {a : α} {s : multiset α} : a ∉ s → ndinsert a s = a :: s :=
quot.induction_on s $ λ l h, congr_arg coe $ insert_of_not_mem h
@[simp] theorem mem_ndinsert {a b : α} {s : multiset α} : a ∈ ndinsert b s ↔ a = b ∨ a ∈ s :=
quot.induction_on s $ λ l, mem_insert_iff
@[simp] theorem le_ndinsert_self (a : α) (s : multiset α) : s ≤ ndinsert a s :=
quot.induction_on s $ λ l, subperm_of_sublist $ sublist_of_suffix $ suffix_insert _ _
@[simp] theorem mem_ndinsert_self (a : α) (s : multiset α) : a ∈ ndinsert a s :=
mem_ndinsert.2 (or.inl rfl)
@[simp] theorem mem_ndinsert_of_mem {a b : α} {s : multiset α} (h : a ∈ s) : a ∈ ndinsert b s :=
mem_ndinsert.2 (or.inr h)
@[simp] theorem length_ndinsert_of_mem {a : α} [decidable_eq α] {s : multiset α} (h : a ∈ s) :
card (ndinsert a s) = card s :=
by simp [h]
@[simp] theorem length_ndinsert_of_not_mem {a : α} [decidable_eq α] {s : multiset α} (h : a ∉ s) :
card (ndinsert a s) = card s + 1 :=
by simp [h]
theorem erase_dup_cons {a : α} {s : multiset α} :
erase_dup (a::s) = ndinsert a (erase_dup s) :=
by by_cases a ∈ s; simp [h]
theorem nodup_ndinsert (a : α) {s : multiset α} : nodup s → nodup (ndinsert a s) :=
quot.induction_on s $ λ l, nodup_insert
theorem ndinsert_le {a : α} {s t : multiset α} : ndinsert a s ≤ t ↔ s ≤ t ∧ a ∈ t :=
⟨λ h, ⟨le_trans (le_ndinsert_self _ _) h, mem_of_le h (mem_ndinsert_self _ _)⟩,
λ ⟨l, m⟩, if h : a ∈ s then by simp [h, l] else
by rw [ndinsert_of_not_mem h, ← cons_erase m, cons_le_cons_iff,
← le_cons_of_not_mem h, cons_erase m]; exact l⟩
lemma attach_ndinsert (a : α) (s : multiset α) :
(s.ndinsert a).attach =
ndinsert ⟨a, mem_ndinsert_self a s⟩ (s.attach.map $ λp, ⟨p.1, mem_ndinsert_of_mem p.2⟩) :=
have eq : ∀h : ∀(p : {x // x ∈ s}), p.1 ∈ s,
(λ (p : {x // x ∈ s}), ⟨p.val, h p⟩ : {x // x ∈ s} → {x // x ∈ s}) = id, from
assume h, funext $ assume p, subtype.eq rfl,
have ∀t (eq : s.ndinsert a = t), t.attach = ndinsert ⟨a, eq ▸ mem_ndinsert_self a s⟩
(s.attach.map $ λp, ⟨p.1, eq ▸ mem_ndinsert_of_mem p.2⟩),
begin
intros t ht,
by_cases a ∈ s,
{ rw [ndinsert_of_mem h] at ht,
subst ht,
rw [eq, map_id, ndinsert_of_mem (mem_attach _ _)] },
{ rw [ndinsert_of_not_mem h] at ht,
subst ht,
simp [attach_cons, h] }
end,
this _ rfl
@[simp] theorem disjoint_ndinsert_left {a : α} {s t : multiset α} :
disjoint (ndinsert a s) t ↔ a ∉ t ∧ disjoint s t :=
iff.trans (by simp [disjoint]) disjoint_cons_left
@[simp] theorem disjoint_ndinsert_right {a : α} {s t : multiset α} :
disjoint s (ndinsert a t) ↔ a ∉ s ∧ disjoint s t :=
disjoint_comm.trans $ by simp
/- finset union -/
/-- `ndunion s t` is the lift of the list `union` operation. This operation
does not respect multiplicities, unlike `s ∪ t`, but it is suitable as
a union operation on `finset`. (`s ∪ t` would also work as a union operation
on finset, but this is more efficient.) -/
def ndunion (s t : multiset α) : multiset α :=
quotient.lift_on₂ s t (λ l₁ l₂, (l₁.union l₂ : multiset α)) $ λ v₁ v₂ w₁ w₂ p₁ p₂,
quot.sound $ perm_union p₁ p₂
@[simp] theorem coe_ndunion (l₁ l₂ : list α) : @ndunion α _ l₁ l₂ = (l₁ ∪ l₂ : list α) := rfl
@[simp] theorem zero_ndunion (s : multiset α) : ndunion 0 s = s :=
quot.induction_on s $ λ l, rfl
@[simp] theorem cons_ndunion (s t : multiset α) (a : α) : ndunion (a :: s) t = ndinsert a (ndunion s t) :=
quotient.induction_on₂ s t $ λ l₁ l₂, rfl
@[simp] theorem mem_ndunion {s t : multiset α} {a : α} : a ∈ ndunion s t ↔ a ∈ s ∨ a ∈ t :=
quotient.induction_on₂ s t $ λ l₁ l₂, list.mem_union
theorem le_ndunion_right (s t : multiset α) : t ≤ ndunion s t :=
quotient.induction_on₂ s t $ λ l₁ l₂,
subperm_of_sublist $ sublist_of_suffix $ suffix_union_right _ _
theorem ndunion_le_add (s t : multiset α) : ndunion s t ≤ s + t :=
quotient.induction_on₂ s t $ λ l₁ l₂, subperm_of_sublist $ union_sublist_append _ _
theorem ndunion_le {s t u : multiset α} : ndunion s t ≤ u ↔ s ⊆ u ∧ t ≤ u :=
multiset.induction_on s (by simp) (by simp [ndinsert_le, and_comm, and.left_comm] {contextual := tt})
theorem subset_ndunion_left (s t : multiset α) : s ⊆ ndunion s t :=
λ a h, mem_ndunion.2 $ or.inl h
theorem le_ndunion_left {s} (t : multiset α) (d : nodup s) : s ≤ ndunion s t :=
(le_iff_subset d).2 $ subset_ndunion_left _ _
theorem ndunion_le_union (s t : multiset α) : ndunion s t ≤ s ∪ t :=
ndunion_le.2 ⟨subset_of_le (le_union_left _ _), le_union_right _ _⟩
theorem nodup_ndunion (s : multiset α) {t : multiset α} : nodup t → nodup (ndunion s t) :=
quotient.induction_on₂ s t $ λ l₁ l₂, list.nodup_union _
@[simp] theorem ndunion_eq_union {s t : multiset α} (d : nodup s) : ndunion s t = s ∪ t :=
le_antisymm (ndunion_le_union _ _) $ union_le (le_ndunion_left _ d) (le_ndunion_right _ _)
theorem erase_dup_add (s t : multiset α) : erase_dup (s + t) = ndunion s (erase_dup t) :=
quotient.induction_on₂ s t $ λ l₁ l₂, congr_arg coe $ erase_dup_append _ _
/- finset inter -/
/-- `ndinter s t` is the lift of the list `∩` operation. This operation
does not respect multiplicities, unlike `s ∩ t`, but it is suitable as
an intersection operation on `finset`. (`s ∩ t` would also work as a union operation
on finset, but this is more efficient.) -/
def ndinter (s t : multiset α) : multiset α := filter (∈ t) s
@[simp] theorem coe_ndinter (l₁ l₂ : list α) : @ndinter α _ l₁ l₂ = (l₁ ∩ l₂ : list α) := rfl
@[simp] theorem zero_ndinter (s : multiset α) : ndinter 0 s = 0 := rfl
@[simp] theorem cons_ndinter_of_mem {a : α} (s : multiset α) {t : multiset α} (h : a ∈ t) :
ndinter (a::s) t = a :: (ndinter s t) := by simp [ndinter, h]
@[simp] theorem ndinter_cons_of_not_mem {a : α} (s : multiset α) {t : multiset α} (h : a ∉ t) :
ndinter (a::s) t = ndinter s t := by simp [ndinter, h]
@[simp] theorem mem_ndinter {s t : multiset α} {a : α} : a ∈ ndinter s t ↔ a ∈ s ∧ a ∈ t :=
mem_filter
theorem nodup_ndinter {s : multiset α} (t : multiset α) : nodup s → nodup (ndinter s t) :=
nodup_filter _
theorem le_ndinter {s t u : multiset α} : s ≤ ndinter t u ↔ s ≤ t ∧ s ⊆ u :=
by simp [ndinter, le_filter, subset_iff]
theorem ndinter_le_left (s t : multiset α) : ndinter s t ≤ s :=
(le_ndinter.1 (le_refl _)).1
theorem ndinter_subset_right (s t : multiset α) : ndinter s t ⊆ t :=
(le_ndinter.1 (le_refl _)).2
theorem ndinter_le_right {s} (t : multiset α) (d : nodup s) : ndinter s t ≤ t :=
(le_iff_subset $ nodup_ndinter _ d).2 (ndinter_subset_right _ _)
theorem inter_le_ndinter (s t : multiset α) : s ∩ t ≤ ndinter s t :=
le_ndinter.2 ⟨inter_le_left _ _, subset_of_le $ inter_le_right _ _⟩
@[simp] theorem ndinter_eq_inter {s t : multiset α} (d : nodup s) : ndinter s t = s ∩ t :=
le_antisymm (le_inter (ndinter_le_left _ _) (ndinter_le_right _ d)) (inter_le_ndinter _ _)
theorem ndinter_eq_zero_iff_disjoint {s t : multiset α} : ndinter s t = 0 ↔ disjoint s t :=
by rw ← subset_zero; simp [subset_iff, disjoint]
end
/- fold -/
section fold
variables (op : α → α → α) [hc : is_commutative α op] [ha : is_associative α op]
local notation a * b := op a b
include hc ha
/-- `fold op b s` folds a commutative associative operation `op` over
the multiset `s`. -/
def fold : α → multiset α → α := foldr op (left_comm _ hc.comm ha.assoc)
theorem fold_eq_foldr (b : α) (s : multiset α) : fold op b s = foldr op (left_comm _ hc.comm ha.assoc) b s := rfl
@[simp] theorem coe_fold_r (b : α) (l : list α) : fold op b l = l.foldr op b := rfl
theorem coe_fold_l (b : α) (l : list α) : fold op b l = l.foldl op b :=
(coe_foldr_swap op _ b l).trans $ by simp [hc.comm]
theorem fold_eq_foldl (b : α) (s : multiset α) : fold op b s = foldl op (right_comm _ hc.comm ha.assoc) b s :=
quot.induction_on s $ λ l, coe_fold_l _ _ _
@[simp] theorem fold_zero (b : α) : (0 : multiset α).fold op b = b := rfl
@[simp] theorem fold_cons_left : ∀ (b a : α) (s : multiset α),
(a :: s).fold op b = a * s.fold op b := foldr_cons _ _
theorem fold_cons_right (b a : α) (s : multiset α) : (a :: s).fold op b = s.fold op b * a :=
by simp [hc.comm]
theorem fold_cons'_right (b a : α) (s : multiset α) : (a :: s).fold op b = s.fold op (b * a) :=
by rw [fold_eq_foldl, foldl_cons, ← fold_eq_foldl]
theorem fold_cons'_left (b a : α) (s : multiset α) : (a :: s).fold op b = s.fold op (a * b) :=
by rw [fold_cons'_right, hc.comm]
theorem fold_add (b₁ b₂ : α) (s₁ s₂ : multiset α) : (s₁ + s₂).fold op (b₁ * b₂) = s₁.fold op b₁ * s₂.fold op b₂ :=
multiset.induction_on s₂
(by rw [add_zero, fold_zero, ← fold_cons'_right, ← fold_cons_right op])
(by simp {contextual := tt}; cc)
theorem fold_singleton (b a : α) : (a::0 : multiset α).fold op b = a * b := by simp
theorem fold_distrib {f g : β → α} (u₁ u₂ : α) (s : multiset β) :
(s.map (λx, f x * g x)).fold op (u₁ * u₂) = (s.map f).fold op u₁ * (s.map g).fold op u₂ :=
multiset.induction_on s (by simp) (by simp {contextual := tt}; cc)
theorem fold_hom {op' : β → β → β} [is_commutative β op'] [is_associative β op']
{m : α → β} (hm : ∀x y, m (op x y) = op' (m x) (m y)) (b : α) (s : multiset α) :
(s.map m).fold op' (m b) = m (s.fold op b) :=
multiset.induction_on s (by simp) (by simp [hm] {contextual := tt})
theorem fold_union_inter [decidable_eq α] (s₁ s₂ : multiset α) (b₁ b₂ : α) :
(s₁ ∪ s₂).fold op b₁ * (s₁ ∩ s₂).fold op b₂ = s₁.fold op b₁ * s₂.fold op b₂ :=
by rw [← fold_add op, union_add_inter, fold_add op]
@[simp] theorem fold_erase_dup_idem [decidable_eq α] [hi : is_idempotent α op] (s : multiset α) (b : α) :
(erase_dup s).fold op b = s.fold op b :=
multiset.induction_on s (by simp) $ λ a s IH, begin
by_cases a ∈ s; simp [IH, h],
show fold op b s = op a (fold op b s),
rw [← cons_erase h, fold_cons_left, ← ha.assoc, hi.idempotent],
end
end fold
theorem le_smul_erase_dup [decidable_eq α] (s : multiset α) :
∃ n : ℕ, s ≤ n • erase_dup s :=
⟨(s.map (λ a, count a s)).fold max 0, le_iff_count.2 $ λ a, begin
rw count_smul, by_cases a ∈ s,
{ refine le_trans _ (mul_le_mul_left _ $ count_pos.2 $ mem_erase_dup.2 h),
have : count a s ≤ fold max 0 (map (λ a, count a s) (a :: erase s a));
[simp [le_max_left], simpa [cons_erase h]] },
{ simp [count_eq_zero.2 h, nat.zero_le] }
end⟩
section sup
variables [semilattice_sup_bot α]
/-- Supremum of a multiset: `sup {a, b, c} = a ⊔ b ⊔ c` -/
def sup (s : multiset α) : α := s.fold (⊔) ⊥
@[simp] lemma sup_zero : (0 : multiset α).sup = ⊥ :=
fold_zero _ _
@[simp] lemma sup_cons (a : α) (s : multiset α) :
(a :: s).sup = a ⊔ s.sup :=
fold_cons_left _ _ _ _
@[simp] lemma sup_singleton {a : α} : (a::0).sup = a := by simp
@[simp] lemma sup_add (s₁ s₂ : multiset α) : (s₁ + s₂).sup = s₁.sup ⊔ s₂.sup :=
eq.trans (by simp [sup]) (fold_add _ _ _ _ _)
variables [decidable_eq α]
@[simp] lemma sup_erase_dup (s : multiset α) : (erase_dup s).sup = s.sup :=
fold_erase_dup_idem _ _ _
@[simp] lemma sup_ndunion (s₁ s₂ : multiset α) :
(ndunion s₁ s₂).sup = s₁.sup ⊔ s₂.sup :=
by rw [← sup_erase_dup, erase_dup_ext.2, sup_erase_dup, sup_add]; simp
@[simp] lemma sup_union (s₁ s₂ : multiset α) :
(s₁ ∪ s₂).sup = s₁.sup ⊔ s₂.sup :=
by rw [← sup_erase_dup, erase_dup_ext.2, sup_erase_dup, sup_add]; simp
@[simp] lemma sup_ndinsert (a : α) (s : multiset α) :
(ndinsert a s).sup = a ⊔ s.sup :=
by rw [← sup_erase_dup, erase_dup_ext.2, sup_erase_dup, sup_cons]; simp
lemma sup_le {s : multiset α} {a : α} : s.sup ≤ a ↔ (∀b ∈ s, b ≤ a) :=
multiset.induction_on s (by simp)
(by simp [or_imp_distrib, forall_and_distrib] {contextual := tt})
lemma le_sup {s : multiset α} {a : α} (h : a ∈ s) : a ≤ s.sup :=
sup_le.1 (le_refl _) _ h
lemma sup_mono {s₁ s₂ : multiset α} (h : s₁ ⊆ s₂) : s₁.sup ≤ s₂.sup :=
sup_le.2 $ assume b hb, le_sup (h hb)
end sup
section inf
variables [semilattice_inf_top α]
/-- Infimum of a multiset: `inf {a, b, c} = a ⊓ b ⊓ c` -/
def inf (s : multiset α) : α := s.fold (⊓) ⊤
@[simp] lemma inf_zero : (0 : multiset α).inf = ⊤ :=
fold_zero _ _
@[simp] lemma inf_cons (a : α) (s : multiset α) :
(a :: s).inf = a ⊓ s.inf :=
fold_cons_left _ _ _ _
@[simp] lemma inf_singleton {a : α} : (a::0).inf = a := by simp
@[simp] lemma inf_add (s₁ s₂ : multiset α) : (s₁ + s₂).inf = s₁.inf ⊓ s₂.inf :=
eq.trans (by simp [inf]) (fold_add _ _ _ _ _)
variables [decidable_eq α]
@[simp] lemma inf_erase_dup (s : multiset α) : (erase_dup s).inf = s.inf :=
fold_erase_dup_idem _ _ _
@[simp] lemma inf_ndunion (s₁ s₂ : multiset α) :
(ndunion s₁ s₂).inf = s₁.inf ⊓ s₂.inf :=
by rw [← inf_erase_dup, erase_dup_ext.2, inf_erase_dup, inf_add]; simp
@[simp] lemma inf_union (s₁ s₂ : multiset α) :
(s₁ ∪ s₂).inf = s₁.inf ⊓ s₂.inf :=
by rw [← inf_erase_dup, erase_dup_ext.2, inf_erase_dup, inf_add]; simp
@[simp] lemma inf_ndinsert (a : α) (s : multiset α) :
(ndinsert a s).inf = a ⊓ s.inf :=
by rw [← inf_erase_dup, erase_dup_ext.2, inf_erase_dup, inf_cons]; simp
lemma le_inf {s : multiset α} {a : α} : a ≤ s.inf ↔ (∀b ∈ s, a ≤ b) :=
multiset.induction_on s (by simp)
(by simp [or_imp_distrib, forall_and_distrib] {contextual := tt})
lemma inf_le {s : multiset α} {a : α} (h : a ∈ s) : s.inf ≤ a :=
le_inf.1 (le_refl _) _ h
lemma inf_mono {s₁ s₂ : multiset α} (h : s₁ ⊆ s₂) : s₂.inf ≤ s₁.inf :=
le_inf.2 $ assume b hb, inf_le (h hb)
end inf
section sort
variables (r : α → α → Prop) [decidable_rel r]
[is_trans α r] [is_antisymm α r] [is_total α r]
/-- `sort s` constructs a sorted list from the multiset `s`.
(Uses merge sort algorithm.) -/
def sort (s : multiset α) : list α :=
quot.lift_on s (merge_sort r) $ λ a b h,
eq_of_sorted_of_perm
((perm_merge_sort _ _).trans $ h.trans (perm_merge_sort _ _).symm)
(sorted_merge_sort r _)
(sorted_merge_sort r _)
@[simp] theorem coe_sort (l : list α) : sort r l = merge_sort r l := rfl
@[simp] theorem sort_sorted (s : multiset α) : sorted r (sort r s) :=
quot.induction_on s $ λ l, sorted_merge_sort r _
@[simp] theorem sort_eq (s : multiset α) : ↑(sort r s) = s :=
quot.induction_on s $ λ l, quot.sound $ perm_merge_sort _ _
@[simp] theorem mem_sort {s : multiset α} {a : α} : a ∈ sort r s ↔ a ∈ s :=
by rw [← mem_coe, sort_eq]
end sort
instance [has_repr α] : has_repr (multiset α) :=
⟨λ s, "{" ++ string.intercalate ", " ((s.map repr).sort (≤)) ++ "}"⟩
section sections
def sections (s : multiset (multiset α)) : multiset (multiset α) :=
multiset.rec_on s {0} (λs _ c, s.bind $ λa, c.map ((::) a))
(assume a₀ a₁ s pi, by simp [map_bind, bind_bind a₀ a₁, cons_swap])
@[simp] lemma sections_zero : sections (0 : multiset (multiset α)) = 0::0 :=
rfl
@[simp] lemma sections_cons (s : multiset (multiset α)) (m : multiset α) :
sections (m :: s) = m.bind (λa, (sections s).map ((::) a)) :=
rec_on_cons m s
lemma coe_sections : ∀(l : list (list α)),
sections ((l.map (λl:list α, (l : multiset α))) : multiset (multiset α)) =
((l.sections.map (λl:list α, (l : multiset α))) : multiset (multiset α))
| [] := rfl
| (a :: l) :=
begin
simp,
rw [← cons_coe, sections_cons, bind_map_comm, coe_sections l],
simp [list.sections, (∘), list.bind]
end
@[simp] lemma sections_add (s t : multiset (multiset α)) :
sections (s + t) = (sections s).bind (λm, (sections t).map ((+) m)) :=
multiset.induction_on s (by simp)
(assume a s ih, by simp [ih, bind_assoc, map_bind, bind_map, -add_comm])
lemma mem_sections {s : multiset (multiset α)} :
∀{a}, a ∈ sections s ↔ s.rel (λs a, a ∈ s) a :=
multiset.induction_on s (by simp)
(assume a s ih a',
by simp [ih, rel_cons_left, -exists_and_distrib_left, exists_and_distrib_left.symm, eq_comm])
lemma card_sections {s : multiset (multiset α)} : card (sections s) = prod (s.map card) :=
multiset.induction_on s (by simp) (by simp {contextual := tt})
lemma prod_map_sum [comm_semiring α] {s : multiset (multiset α)} :
prod (s.map sum) = sum ((sections s).map prod) :=
multiset.induction_on s (by simp)
(assume a s ih, by simp [ih, map_bind, sum_map_mul_left, sum_map_mul_right])
end sections
section pi
variables [decidable_eq α] {δ : α → Type*}
open function
def pi.cons (m : multiset α) (a : α) (b : δ a) (f : Πa∈m, δ a) : Πa'∈a::m, δ a' :=
λa' ha', if h : a' = a then eq.rec b h.symm else f a' $ (mem_cons.1 ha').resolve_left h
def pi.empty (δ : α → Type*) : (Πa∈(0:multiset α), δ a) .
lemma pi.cons_same {m : multiset α} {a : α} {b : δ a} {f : Πa∈m, δ a} (h : a ∈ a :: m) :
pi.cons m a b f a h = b :=
dif_pos rfl
lemma pi.cons_ne {m : multiset α} {a a' : α} {b : δ a} {f : Πa∈m, δ a} (h' : a' ∈ a :: m) (h : a' ≠ a) :
pi.cons m a b f a' h' = f a' ((mem_cons.1 h').resolve_left h) :=
dif_neg h
lemma pi.cons_swap {a a' : α} {b : δ a} {b' : δ a'} {m : multiset α} {f : Πa∈m, δ a} (h : a ≠ a') :
pi.cons (a' :: m) a b (pi.cons m a' b' f) == pi.cons (a :: m) a' b' (pi.cons m a b f) :=
begin
apply hfunext, { refl }, intros a'' _ h, subst h,
apply hfunext, { rw [cons_swap] }, intros ha₁ ha₂ h,
by_cases h₁ : a'' = a; by_cases h₂ : a'' = a';
simp [*, pi.cons_same, pi.cons_ne] at *,
{ subst h₁, rw [pi.cons_same, pi.cons_same] },
{ subst h₂, rw [pi.cons_same, pi.cons_same] }
end
/-- `pi m t` constructs the Cartesian product over `t` indexed by `m`. -/
def pi (m : multiset α) (t : Πa, multiset (δ a)) : multiset (Πa∈m, δ a) :=
m.rec_on {pi.empty δ} (λa m (p : multiset (Πa∈m, δ a)), (t a).bind $ λb, p.map $ pi.cons m a b)
begin
intros a a' m n,
by_cases eq : a = a',
{ subst eq },
{ simp [map_bind, bind_bind (t a') (t a)],
apply bind_hcongr, { rw [cons_swap a a'] },
intros b hb,
apply bind_hcongr, { rw [cons_swap a a'] },
intros b' hb',
apply map_hcongr, { rw [cons_swap a a'] },
intros f hf,
exact pi.cons_swap eq }
end
@[simp] lemma pi_zero (t : Πa, multiset (δ a)) : pi 0 t = pi.empty δ :: 0 := rfl
@[simp] lemma pi_cons (m : multiset α) (t : Πa, multiset (δ a)) (a : α) :
pi (a :: m) t = ((t a).bind $ λb, (pi m t).map $ pi.cons m a b) :=
rec_on_cons a m
lemma injective_pi_cons {a : α} {b : δ a} {s : multiset α} (hs : a ∉ s) :
function.injective (pi.cons s a b) :=
assume f₁ f₂ eq, funext $ assume a', funext $ assume h',
have ne : a ≠ a', from assume h, hs $ h.symm ▸ h',
have a' ∈ a :: s, from mem_cons_of_mem h',
calc f₁ a' h' = pi.cons s a b f₁ a' this : by rw [pi.cons_ne this ne.symm]
... = pi.cons s a b f₂ a' this : by rw [eq]
... = f₂ a' h' : by rw [pi.cons_ne this ne.symm]
lemma card_pi (m : multiset α) (t : Πa, multiset (δ a)) :
card (pi m t) = prod (m.map $ λa, card (t a)) :=
multiset.induction_on m (by simp) (by simp [mul_comm] {contextual := tt})
lemma nodup_pi {s : multiset α} {t : Πa, multiset (δ a)} :
nodup s → (∀a∈s, nodup (t a)) → nodup (pi s t) :=
multiset.induction_on s (assume _ _, nodup_singleton _)
begin
assume a s ih hs ht,
have has : a ∉ s, by simp at hs; exact hs.1,
have hs : nodup s, by simp at hs; exact hs.2,
simp,
split,
{ assume b hb,
from nodup_map (injective_pi_cons has) (ih hs $ assume a' h', ht a' $ mem_cons_of_mem h') },
{ apply pairwise_of_nodup _ (ht a $ mem_cons_self _ _),
from assume b₁ hb₁ b₂ hb₂ neb, disjoint_map_map.2 (assume f hf g hg eq,
have pi.cons s a b₁ f a (mem_cons_self _ _) = pi.cons s a b₂ g a (mem_cons_self _ _),
by rw [eq],
neb $ show b₁ = b₂, by rwa [pi.cons_same, pi.cons_same] at this) }
end
lemma mem_pi (m : multiset α) (t : Πa, multiset (δ a)) :
∀f:Πa∈m, δ a, (f ∈ pi m t) ↔ (∀a (h : a ∈ m), f a h ∈ t a) :=
begin
refine multiset.induction_on m (λ f, _) (λ a m ih f, _),
{ simpa using show f = pi.empty δ, by funext a ha; exact ha.elim },
simp, split,
{ rintro ⟨b, hb, f', hf', rfl⟩ a' ha',
rw [ih] at hf',
by_cases a' = a,
{ subst h, rwa [pi.cons_same] },
{ rw [pi.cons_ne _ h], apply hf' } },
{ intro hf,
refine ⟨_, hf a (mem_cons_self a _), λa ha, f a (mem_cons_of_mem ha),
(ih _).2 (λ a' h', hf _ _), _⟩,
funext a' h',
by_cases a' = a,
{ subst h, rw [pi.cons_same] },
{ rw [pi.cons_ne _ h] } }
end
end pi
end multiset
namespace multiset
instance : functor multiset :=
{ map := @map }
instance : is_lawful_functor multiset :=
by refine { .. }; intros; simp
open is_lawful_traversable is_comm_applicative
variables {F : Type u_1 → Type u_1} [applicative F] [is_comm_applicative F]
variables {α' β' : Type u_1} (f : α' → F β')
lemma coe_append_eq_add_coe :
((∘) (coe : list β' → multiset β') ∘ append) = (λ x y, x + coe y) ∘ coe :=
by ext; simp
lemma coe_list_cons_eq_cons_coe :
flip ((∘) (coe : list β' → multiset β') ∘ @list.cons β') = flip multiset.cons ∘ (coe) :=
by ext; simp! [flip]
lemma coe_traverse_cons (x : α') (xs : list α') :
(coe : list β' → multiset β') <$> traverse f (x :: xs) =
coe <$> traverse f (xs ++ [x]) :=
begin
symmetry, simp! [traverse],
induction xs, refl,
simp! [traverse] with functor_norm,
rw [commutative_map,coe_list_cons_eq_cons_coe,comp_map,xs_ih],
rw [commutative_map], symmetry, rw [commutative_map],
simp with functor_norm, congr,
ext, simp! [flip], constructor
end
lemma coe_traverse_cons_swap (x x' : α') (xs : list α') :
(coe : list β' → multiset β') <$> traverse f (x :: x' :: xs) =
coe <$> traverse f (x' :: x :: xs : list α') :=
begin
simp! [traverse] with functor_norm,
rw commutative_map,
congr, ext, simp! [flip],
constructor
end
def traverse :
multiset α' → F (multiset β') :=
quotient.lift (functor.map coe ∘ traversable.traverse f)
begin
introv p, unfold function.comp,
induction p, refl,
{ simp [coe_traverse_cons,traverse_append] with functor_norm,
rw [coe_append_eq_add_coe,comp_map,p_ih],
simp! with functor_norm },
{ rw coe_traverse_cons_swap },
{ simp [*] }
end
open functor
open traversable is_lawful_traversable
@[simp]
lemma lift_beta {α β : Type*} (x : list α) (f : list α → β)
(h : ∀ a b : list α, a ≈ b → f a = f b) :
quotient.lift f h (x : multiset α) = f x :=
quotient.lift_beta _ _ _
@[simp]
lemma map_comp_coe {α β} (h : α → β) :
functor.map h ∘ coe = (coe ∘ functor.map h : list α → multiset β) :=
by funext; simp [functor.map]
lemma id_traverse {α : Type*} (x : multiset α) :
traverse id.mk x = x :=
quotient.induction_on x
(by { intro, rw [traverse,quotient.lift_beta,function.comp],
simp, congr })
lemma comp_traverse {G H : Type* → Type*}
[applicative G] [applicative H]
[is_comm_applicative G] [is_comm_applicative H]
{α β γ : Type*}
(g : α → G β) (h : β → H γ) (x : multiset α) :
traverse (comp.mk ∘ functor.map h ∘ g) x =
comp.mk (functor.map (traverse h) (traverse g x)) :=
quotient.induction_on x
(by intro;
simp [traverse,comp_traverse] with functor_norm;
simp [(<$>),(∘)] with functor_norm)
lemma map_traverse {G : Type* → Type*}
[applicative G] [is_comm_applicative G]
{α β γ : Type*}
(g : α → G β) (h : β → γ)
(x : multiset α) :
functor.map (functor.map h) (traverse g x) =
traverse (functor.map h ∘ g) x :=
quotient.induction_on x
(by intro; simp [traverse] with functor_norm;
rw [comp_map,map_traverse])
lemma traverse_map {G : Type* → Type*}
[applicative G] [is_comm_applicative G]
{α β γ : Type*}
(g : α → β) (h : β → G γ)
(x : multiset α) :
traverse h (map g x) =
traverse (h ∘ g) x :=
quotient.induction_on x
(by intro; simp [traverse];
rw [← traversable.traverse_map h g];
[ refl, apply_instance ])
lemma naturality {G H : Type* → Type*}
[applicative G] [applicative H]
[is_comm_applicative G] [is_comm_applicative H]
(eta : applicative_transformation G H)
{α β : Type*} (f : α → G β) (x : multiset α) :
eta (traverse f x) = traverse (@eta _ ∘ f) x :=
quotient.induction_on x
(by intro; simp [traverse,is_lawful_traversable.naturality] with functor_norm)
end multiset
|
ec444fb329dfb1b3fcd0e372a6f7c8ab9d1be543 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/binrec.lean | 6933b6473a04caa4826f416ea7e86711fda80680 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 1,773 | lean | def Nat.bit (b : Bool) (n : Nat) : Nat :=
cond b (2*n+1) (2*n)
theorem Nat.bit_div_even (h : n % 2 = 0) : bit false (n / 2) = n := by
simp [bit]
have := Nat.div_add_mod n 2
simp [h] at this
assumption
theorem Nat.bit_div_odd (h : n % 2 ≠ 0) : bit true (n / 2) = n := by
have h : n % 2 = 1 := by
have := mod_lt n (by decide : 2 > 0)
revert h this
generalize n%2 = k
match k with
| 0 => decide
| 1 => decide
| n+2 => intros; contradiction
simp [bit]
have := Nat.div_add_mod n 2
simp [h] at this
assumption
theorem Nat.div2_lt (h : n ≠ 0) : n / 2 < n := by
match n with
| 1 => decide
| 2 => decide
| 3 => decide
| n+4 =>
rw [div_eq, if_pos]
refine succ_lt_succ (Nat.lt_trans ?_ (lt_succ_self _))
exact @div2_lt (n+2) (by simp_arith)
simp_arith
@[specialize]
def Nat.binrec
(motive : Nat → Sort u)
(base : Unit → motive 0)
(ind : (b : Bool) → (n : Nat) → (Unit → motive n) → motive (bit b n))
(n : Nat) : motive n :=
if h₁ : n = 0 then
h₁ ▸ base ()
else if h₂ : n % 2 = 0 then
bit_div_even h₂ ▸ ind false (n / 2) (fun _ => binrec motive base ind (n / 2))
else
bit_div_odd h₂ ▸ ind true (n / 2) (fun _ => binrec motive base ind (n / 2))
termination_by _ n => n
decreasing_by exact Nat.div2_lt h₁
theorem Nat.binind
(motive : Nat → Prop)
(base : motive 0)
(ind : (b : Bool) → (n : Nat) → motive n → motive (bit b n))
(n : Nat) : motive n :=
binrec motive (fun _ => base) (fun b n ih => ind b n (ih ())) n
set_option trace.compiler.ir.result true in
def Nat.toBit (n : Nat) : List Bool :=
binrec (fun _ => List Bool)
(fun _ => [])
(fun b n ih => b :: ih ())
n
#eval Nat.toBit 18
|
01a79f9b5246b9aa8a5ddbdb3fded782451b7e6e | 97f752b44fd85ec3f635078a2dd125ddae7a82b6 | /hott/types/fin.hlean | d7fa99e8de49688044f556ece40629de8e7f236d | [
"Apache-2.0"
] | permissive | tectronics/lean | ab977ba6be0fcd46047ddbb3c8e16e7c26710701 | f38af35e0616f89c6e9d7e3eb1d48e47ee666efe | refs/heads/master | 1,532,358,526,384 | 1,456,276,623,000 | 1,456,276,623,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 20,979 | hlean | /-
Copyright (c) 2015 Haitao Zhang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Haitao Zhang, Leonardo de Moura, Jakob von Raumer
Finite ordinal types.
-/
import types.list algebra.group function logic types.prod types.sum
open eq nat function list equiv is_trunc algebra sigma sum
structure fin (n : nat) := (val : nat) (is_lt : val < n)
definition less_than [reducible] := fin
namespace fin
attribute fin.val [coercion]
section def_equal
variable {n : nat}
definition sigma_char : fin n ≃ Σ (val : nat), val < n :=
begin
fapply equiv.MK,
intro i, cases i with i ilt, apply dpair i ilt,
intro s, cases s with i ilt, apply fin.mk i ilt,
intro s, cases s with i ilt, reflexivity,
intro i, cases i with i ilt, reflexivity
end
definition is_set_fin [instance] : is_set (fin n) :=
begin
apply is_trunc_equiv_closed, apply equiv.symm, apply sigma_char,
end
definition eq_of_veq : Π {i j : fin n}, (val i) = j → i = j :=
begin
intro i j, cases i with i ilt, cases j with j jlt, esimp,
intro p, induction p, apply ap (mk i), apply !is_prop.elim
end
definition eq_of_veq_refl (i : fin n) : eq_of_veq (refl (val i)) = idp :=
!is_prop.elim
definition veq_of_eq : Π {i j : fin n}, i = j → (val i) = j :=
by intro i j P; apply ap val; exact P
definition eq_iff_veq {i j : fin n} : (val i) = j ↔ i = j :=
pair eq_of_veq veq_of_eq
definition val_inj := @eq_of_veq n
end def_equal
section decidable
open decidable
protected definition has_decidable_eq [instance] (n : nat) :
Π (i j : fin n), decidable (i = j) :=
begin
intros i j, apply decidable_of_decidable_of_iff,
apply nat.has_decidable_eq i j, apply eq_iff_veq,
end
end decidable
/-lemma dinj_lt (n : nat) : dinj (λ i, i < n) fin.mk :=
take a1 a2 Pa1 Pa2 Pmkeq, fin.no_confusion Pmkeq (λ Pe Pqe, Pe)
lemma val_mk (n i : nat) (Plt : i < n) : fin.val (fin.mk i Plt) = i := rfl
definition upto [reducible] (n : nat) : list (fin n) :=
dmap (λ i, i < n) fin.mk (list.upto n)
lemma nodup_upto (n : nat) : nodup (upto n) :=
dmap_nodup_of_dinj (dinj_lt n) (list.nodup_upto n)
lemma mem_upto (n : nat) : Π (i : fin n), i ∈ upto n :=
take i, fin.destruct i
(take ival Piltn,
assert ival ∈ list.upto n, from mem_upto_of_lt Piltn,
mem_dmap Piltn this)
lemma upto_zero : upto 0 = [] :=
by rewrite [↑upto, list.upto_nil, dmap_nil]
lemma map_val_upto (n : nat) : map fin.val (upto n) = list.upto n :=
map_dmap_of_inv_of_pos (val_mk n) (@lt_of_mem_upto n)
lemma length_upto (n : nat) : length (upto n) = n :=
calc
length (upto n) = length (list.upto n) : (map_val_upto n ▸ length_map fin.val (upto n))⁻¹
... = n : list.length_upto n
definition is_fintype [instance] (n : nat) : fintype (fin n) :=
fintype.mk (upto n) (nodup_upto n) (mem_upto n)
section pigeonhole
open fintype
lemma card_fin (n : nat) : card (fin n) = n := length_upto n
theorem pigeonhole {n m : nat} (Pmltn : m < n) : ¬Σ f : fin n → fin m, injective f :=
assume Pex, absurd Pmltn (not_lt_of_ge
(calc
n = card (fin n) : card_fin
... ≤ card (fin m) : card_le_of_inj (fin n) (fin m) Pex
... = m : card_fin))
end pigeonhole-/
protected definition zero [constructor] (n : nat) : fin (succ n) :=
mk 0 !zero_lt_succ
definition fin_has_zero [instance] [reducible] (n : nat) : has_zero (fin (succ n)) :=
has_zero.mk (fin.zero n)
definition val_zero (n : nat) : val (0 : fin (succ n)) = 0 := rfl
/-definition mk_mod [reducible] (n i : nat) : fin (succ n) :=
mk (i % (succ n)) (mod_lt _ !zero_lt_succ)-/
/-theorem mk_mod_zero_eq (n : nat) : mk_mod n 0 = 0 :=
rfl-/
variable {n : nat}
theorem val_lt : Π i : fin n, val i < n
| (mk v h) := h
lemma max_lt (i j : fin n) : max i j < n :=
max_lt (is_lt i) (is_lt j)
definition lift [constructor] : fin n → Π m : nat, fin (n + m)
| (mk v h) m := mk v (lt_add_of_lt_right h m)
definition lift_succ [constructor] (i : fin n) : fin (nat.succ n) :=
have r : fin (n+1), from lift i 1,
r
definition maxi [reducible] : fin (succ n) :=
mk n !lt_succ_self
definition val_lift : Π (i : fin n) (m : nat), val i = val (lift i m)
| (mk v h) m := rfl
lemma mk_succ_ne_zero {i : nat} : Π {P}, mk (succ i) P ≠ (0 : fin (succ n)) :=
assume P Pe, absurd (veq_of_eq Pe) !succ_ne_zero
/-lemma mk_mod_eq {i : fin (succ n)} : i = mk_mod n i :=
eq_of_veq begin rewrite [↑mk_mod, mod_eq_of_lt !is_lt] end
lemma mk_mod_of_lt {i : nat} (Plt : i < succ n) : mk_mod n i = mk i Plt :=
begin esimp [mk_mod], congruence, exact mod_eq_of_lt Plt end
-/
section lift_lower
lemma lift_zero : lift_succ (0 : fin (succ n)) = (0 : fin (succ (succ n))) :=
by apply eq_of_veq; reflexivity
lemma ne_max_of_lt_max {i : fin (succ n)} : i < n → i ≠ maxi :=
begin
intro hlt he, assert he' : maxi = i, apply he⁻¹, induction he', apply nat.lt_irrefl n hlt,
end
lemma lt_max_of_ne_max {i : fin (succ n)} : i ≠ maxi → i < n :=
assume hne : i ≠ maxi,
assert vne : val i ≠ n, from
assume he,
have val (@maxi n) = n, from rfl,
have val i = val (@maxi n), from he ⬝ this⁻¹,
absurd (eq_of_veq this) hne,
have val i < nat.succ n, from val_lt i,
lt_of_le_of_ne (le_of_lt_succ this) vne
lemma lift_succ_ne_max {i : fin n} : lift_succ i ≠ maxi :=
begin
cases i with v hlt, esimp [lift_succ, lift, max], intro he,
injection he, substvars,
exact absurd hlt (lt.irrefl v)
end
lemma lift_succ_inj [instance] : is_embedding (@lift_succ n) :=
begin
apply is_embedding_of_is_injective, intro i j,
induction i with iv ilt, induction j with jv jlt, intro Pmkeq,
apply eq_of_veq, apply veq_of_eq Pmkeq
end
definition lt_of_inj_of_max (f : fin (succ n) → fin (succ n)) :
is_embedding f → (f maxi = maxi) → Π i : fin (succ n), i < n → f i < n :=
assume Pinj Peq, take i, assume Pilt,
assert P1 : f i = f maxi → i = maxi, from assume Peq, is_injective_of_is_embedding Peq,
have f i ≠ maxi, from
begin rewrite -Peq, intro P2, apply absurd (P1 P2) (ne_max_of_lt_max Pilt) end,
lt_max_of_ne_max this
definition lift_fun : (fin n → fin n) → (fin (succ n) → fin (succ n)) :=
λ f i, dite (i = maxi) (λ Pe, maxi) (λ Pne, lift_succ (f (mk i (lt_max_of_ne_max Pne))))
definition lower_inj (f : fin (succ n) → fin (succ n)) (inj : is_embedding f) :
f maxi = maxi → fin n → fin n :=
assume Peq, take i, mk (f (lift_succ i)) (lt_of_inj_of_max f inj Peq (lift_succ i) (lt_max_of_ne_max lift_succ_ne_max))
lemma lift_fun_max {f : fin n → fin n} : lift_fun f maxi = maxi :=
begin rewrite [↑lift_fun, dif_pos rfl] end
lemma lift_fun_of_ne_max {f : fin n → fin n} {i} (Pne : i ≠ maxi) :
lift_fun f i = lift_succ (f (mk i (lt_max_of_ne_max Pne))) :=
begin rewrite [↑lift_fun, dif_neg Pne] end
lemma lift_fun_eq {f : fin n → fin n} {i : fin n} :
lift_fun f (lift_succ i) = lift_succ (f i) :=
begin
rewrite [lift_fun_of_ne_max lift_succ_ne_max], do 2 congruence,
apply eq_of_veq, esimp, rewrite -val_lift,
end
lemma lift_fun_of_inj {f : fin n → fin n} : is_embedding f → is_embedding (lift_fun f) :=
begin
intro Pemb, apply is_embedding_of_is_injective, intro i j,
assert Pdi : decidable (i = maxi), apply _,
assert Pdj : decidable (j = maxi), apply _,
cases Pdi with Pimax Pinmax,
cases Pdj with Pjmax Pjnmax,
substvars, intros, reflexivity,
substvars, rewrite [lift_fun_max, lift_fun_of_ne_max Pjnmax],
intro Plmax, apply absurd Plmax⁻¹ lift_succ_ne_max,
cases Pdj with Pjmax Pjnmax,
substvars, rewrite [lift_fun_max, lift_fun_of_ne_max Pinmax],
intro Plmax, apply absurd Plmax lift_succ_ne_max,
rewrite [lift_fun_of_ne_max Pinmax, lift_fun_of_ne_max Pjnmax],
intro Peq, apply eq_of_veq,
cases i with i ilt, cases j with j jlt, esimp at *,
fapply veq_of_eq, apply is_injective_of_is_embedding,
apply @is_injective_of_is_embedding _ _ lift_succ _ _ _ Peq,
end
lemma lift_fun_inj : is_embedding (@lift_fun n) :=
begin
apply is_embedding_of_is_injective, intro f f' Peq, apply eq_of_homotopy, intro i,
assert H : lift_fun f (lift_succ i) = lift_fun f' (lift_succ i), apply congr_fun Peq _,
revert H, rewrite [*lift_fun_eq], apply is_injective_of_is_embedding,
end
lemma lower_inj_apply {f Pinj Pmax} (i : fin n) :
val (lower_inj f Pinj Pmax i) = val (f (lift_succ i)) :=
by rewrite [↑lower_inj]
end lift_lower
/-
section madd
definition madd (i j : fin (succ n)) : fin (succ n) :=
mk ((i + j) % (succ n)) (mod_lt _ !zero_lt_succ)
definition minv : Π i : fin (succ n), fin (succ n)
| (mk iv ilt) := mk ((succ n - iv) % succ n) (mod_lt _ !zero_lt_succ)
lemma val_madd : Π i j : fin (succ n), val (madd i j) = (i + j) % (succ n)
| (mk iv ilt) (mk jv jlt) := by esimp
lemma madd_inj : Π {i : fin (succ n)}, injective (madd i)
| (mk iv ilt) :=
take j₁ j₂, fin.destruct j₁ (fin.destruct j₂ (λ jv₁ jlt₁ jv₂ jlt₂, begin
rewrite [↑madd, -eq_iff_veq],
intro Peq, congruence,
rewrite [-(mod_eq_of_lt jlt₁), -(mod_eq_of_lt jlt₂)],
apply mod_eq_mod_of_add_mod_eq_add_mod_left Peq
end))
lemma madd_mk_mod {i j : nat} : madd (mk_mod n i) (mk_mod n j) = mk_mod n (i+j) :=
eq_of_veq begin esimp [madd, mk_mod], rewrite [ mod_add_mod, add_mod_mod ] end
lemma val_mod : Π i : fin (succ n), (val i) % (succ n) = val i
| (mk iv ilt) := by esimp; rewrite [(mod_eq_of_lt ilt)]
lemma madd_comm (i j : fin (succ n)) : madd i j = madd j i :=
by apply eq_of_veq; rewrite [*val_madd, add.comm (val i)]
lemma zero_madd (i : fin (succ n)) : madd 0 i = i :=
have H : madd (fin.zero n) i = i,
by apply eq_of_veq; rewrite [val_madd, ↑fin.zero, nat.zero_add, mod_eq_of_lt (is_lt i)],
H
lemma madd_zero (i : fin (succ n)) : madd i (fin.zero n) = i :=
!madd_comm ▸ zero_madd i
lemma madd_assoc (i j k : fin (succ n)) : madd (madd i j) k = madd i (madd j k) :=
by apply eq_of_veq; rewrite [*val_madd, mod_add_mod, add_mod_mod, add.assoc (val i)]
lemma madd_left_inv : Π i : fin (succ n), madd (minv i) i = fin.zero n
| (mk iv ilt) := eq_of_veq (by
rewrite [val_madd, ↑minv, ↑fin.zero, mod_add_mod, nat.sub_add_cancel (le_of_lt ilt), mod_self])
definition madd_is_comm_group [instance] : add_comm_group (fin (succ n)) :=
add_comm_group.mk madd madd_assoc (fin.zero n) zero_madd madd_zero minv madd_left_inv madd_comm
end madd-/
definition pred [constructor] : fin n → fin n
| (mk v h) := mk (nat.pred v) (pre_lt_of_lt h)
lemma val_pred : Π (i : fin n), val (pred i) = nat.pred (val i)
| (mk v h) := rfl
lemma pred_zero : pred (fin.zero n) = fin.zero n :=
begin
induction n, reflexivity, apply eq_of_veq, reflexivity,
end
definition mk_pred (i : nat) (h : succ i < succ n) : fin n :=
mk i (lt_of_succ_lt_succ h)
definition succ : fin n → fin (succ n)
| (mk v h) := mk (nat.succ v) (succ_lt_succ h)
lemma val_succ : Π (i : fin n), val (succ i) = nat.succ (val i)
| (mk v h) := rfl
lemma succ_max : fin.succ maxi = (@maxi (nat.succ n)) := rfl
lemma lift_succ.comm : lift_succ ∘ (@succ n) = succ ∘ lift_succ :=
eq_of_homotopy take i,
eq_of_veq (begin rewrite [↑lift_succ, -val_lift, *val_succ, -val_lift] end)
definition elim0 {C : fin 0 → Type} : Π i : fin 0, C i
| (mk v h) := absurd h !not_lt_zero
definition zero_succ_cases {C : fin (nat.succ n) → Type} :
C (fin.zero n) → (Π j : fin n, C (succ j)) → (Π k : fin (nat.succ n), C k) :=
begin
intros CO CS k,
induction k with [vk, pk],
induction (nat.decidable_lt 0 vk) with [HT, HF],
{ show C (mk vk pk), from
let vj := nat.pred vk in
have vk = nat.succ vj, from
inverse (succ_pred_of_pos HT),
assert vj < n, from
lt_of_succ_lt_succ (eq.subst `vk = nat.succ vj` pk),
have succ (mk vj `vj < n`) = mk vk pk, by apply val_inj; apply (succ_pred_of_pos HT),
eq.rec_on this (CS (mk vj `vj < n`)) },
{ show C (mk vk pk), from
have vk = 0, from
eq_zero_of_le_zero (le_of_not_gt HF),
have fin.zero n = mk vk pk, from
val_inj (inverse this),
eq.rec_on this CO }
end
definition succ_maxi_cases {C : fin (nat.succ n) → Type} :
(Π j : fin n, C (lift_succ j)) → C maxi → (Π k : fin (nat.succ n), C k) :=
begin
intros CL CM k,
induction k with [vk, pk],
induction (nat.decidable_lt vk n) with [HT, HF],
{ show C (mk vk pk), from
have HL : lift_succ (mk vk HT) = mk vk pk, from
val_inj rfl,
eq.rec_on HL (CL (mk vk HT)) },
{ show C (mk vk pk), from
have HMv : vk = n, from
le.antisymm (le_of_lt_succ pk) (le_of_not_gt HF),
have HM : maxi = mk vk pk, from
val_inj (inverse HMv),
eq.rec_on HM CM }
end
open decidable
-- TODO there has to be a less painful way to do this
definition elim_succ_maxi_cases_lift_succ {C : fin (nat.succ n) → Type}
{Cls : Π j : fin n, C (lift_succ j)} {Cm : C maxi} (i : fin n) :
succ_maxi_cases Cls Cm (lift_succ i) = Cls i :=
begin
esimp[succ_maxi_cases], cases i with i ilt, esimp,
apply decidable.rec,
{ intro ilt', esimp[val_inj], apply concat,
apply ap (λ x, eq.rec_on x _), esimp[eq_of_veq, rfl], reflexivity,
assert H : ilt = ilt', apply is_prop.elim, cases H,
assert H' : is_prop.elim (lt_add_of_lt_right ilt 1) (lt_add_of_lt_right ilt 1) = idp,
apply is_prop.elim,
krewrite H' },
{ intro a, contradiction },
end
definition elim_succ_maxi_cases_maxi {C : fin (nat.succ n) → Type}
{Cls : Π j : fin n, C (lift_succ j)} {Cm : C maxi} :
succ_maxi_cases Cls Cm maxi = Cm :=
begin
esimp[succ_maxi_cases, maxi],
apply decidable.rec,
{ intro a, apply absurd a !nat.lt_irrefl },
{ intro a, esimp[val_inj], apply concat,
assert H : (le.antisymm (le_of_lt_succ (lt_succ_self n)) (le_of_not_gt a))⁻¹ = idp,
apply is_prop.elim,
apply ap _ H, krewrite eq_of_veq_refl },
end
definition foldr {A B : Type} (m : A → B → B) (b : B) : Π {n : nat}, (fin n → A) → B :=
nat.rec (λ f, b) (λ n IH f, m (f (fin.zero n)) (IH (λ i : fin n, f (succ i))))
definition foldl {A B : Type} (m : B → A → B) (b : B) : Π {n : nat}, (fin n → A) → B :=
nat.rec (λ f, b) (λ n IH f, m (IH (λ i : fin n, f (lift_succ i))) (f maxi))
/-theorem choice {C : fin n → Type} :
(Π i : fin n, nonempty (C i)) → nonempty (Π i : fin n, C i) :=
begin
revert C,
induction n with [n, IH],
{ intros C H,
apply nonempty.intro,
exact elim0 },
{ intros C H,
fapply nonempty.elim (H (fin.zero n)),
intro CO,
fapply nonempty.elim (IH (λ i, C (succ i)) (λ i, H (succ i))),
intro CS,
apply nonempty.intro,
exact zero_succ_cases CO CS }
end-/
/-section
open list
local postfix `+1`:100 := nat.succ
lemma dmap_map_lift {n : nat} : Π l : list nat, (Π i, i ∈ l → i < n) → dmap (λ i, i < n +1) mk l = map lift_succ (dmap (λ i, i < n) mk l)
| [] := assume Plt, rfl
| (i::l) := assume Plt, begin
rewrite [@dmap_cons_of_pos _ _ (λ i, i < n +1) _ _ _ (lt_succ_of_lt (Plt i !mem_cons)), @dmap_cons_of_pos _ _ (λ i, i < n) _ _ _ (Plt i !mem_cons), map_cons],
congruence,
apply dmap_map_lift,
intro j Pjinl, apply Plt, apply mem_cons_of_mem, assumption end
lemma upto_succ (n : nat) : upto (n +1) = maxi :: map lift_succ (upto n) :=
begin
rewrite [↑fin.upto, list.upto_succ, @dmap_cons_of_pos _ _ (λ i, i < n +1) _ _ _ (nat.self_lt_succ n)],
congruence,
apply dmap_map_lift, apply @list.lt_of_mem_upto
end
definition upto_step : Π {n : nat}, fin.upto (n +1) = (map succ (upto n))++[0]
| 0 := rfl
| (i +1) := begin rewrite [upto_succ i, map_cons, append_cons, succ_max, upto_succ, -lift_zero],
congruence, rewrite [map_map, -lift_succ.comm, -map_map, -(map_singleton _ 0), -map_append, -upto_step] end
end-/
open sum equiv decidable
definition fin_zero_equiv_empty : fin 0 ≃ empty :=
begin
fapply equiv.MK, rotate 1, do 2 (intro x; contradiction),
rotate 1, do 2 (intro x; apply elim0 x)
end
definition is_contr_fin_one [instance] : is_contr (fin 1) :=
begin
fapply is_contr.mk, exact 0,
intro x, induction x with v vlt,
apply eq_of_veq, rewrite val_zero,
apply inverse, apply eq_zero_of_le_zero, apply le_of_succ_le_succ, exact vlt,
end
definition fin_sum_equiv (n m : nat) : (fin n + fin m) ≃ fin (n+m) :=
begin
fapply equiv.MK,
{ intro s, induction s with l r,
induction l with v vlt, apply mk v, apply lt_add_of_lt_right, exact vlt,
induction r with v vlt, apply mk (v + n), rewrite {n + m}add.comm,
apply add_lt_add_of_lt_of_le vlt, apply nat.le_refl },
{ intro f, induction f with v vlt,
exact if h : v < n
then sum.inl (mk v h)
else sum.inr (mk (v-n) (nat.sub_lt_of_lt_add vlt (le_of_not_gt h))) },
{ intro f, cases f with v vlt, esimp, apply @by_cases (v < n),
intro vltn, rewrite [dif_pos vltn], apply eq_of_veq, reflexivity,
intro nvltn, rewrite [dif_neg nvltn], apply eq_of_veq, esimp,
apply nat.sub_add_cancel, apply le_of_not_gt, apply nvltn },
{ intro s, cases s with f g,
cases f with v vlt, rewrite [dif_pos vlt],
cases g with v vlt, esimp, have ¬ v + n < n, from
suppose v + n < n,
assert v < n - n, from nat.lt_sub_of_add_lt this !le.refl,
have v < 0, by rewrite [nat.sub_self at this]; exact this,
absurd this !not_lt_zero,
apply concat, apply dif_neg this, apply ap inr, apply eq_of_veq, esimp,
apply nat.add_sub_cancel },
end
definition fin_succ_equiv (n : nat) : fin (n + 1) ≃ fin n + unit :=
begin
fapply equiv.MK,
{ apply succ_maxi_cases, esimp, apply inl, apply inr unit.star },
{ intro d, cases d, apply lift_succ a, apply maxi },
{ intro d, cases d,
cases a with a alt, esimp, apply elim_succ_maxi_cases_lift_succ,
cases a, apply elim_succ_maxi_cases_maxi },
{ intro a, apply succ_maxi_cases, esimp,
intro j, krewrite elim_succ_maxi_cases_lift_succ,
krewrite elim_succ_maxi_cases_maxi },
end
open prod
definition fin_prod_equiv (n m : nat) : (fin n × fin m) ≃ fin (n*m) :=
begin
induction n,
{ rewrite nat.zero_mul,
calc fin 0 × fin m ≃ empty × fin m : fin_zero_equiv_empty
... ≃ fin m × empty : prod_comm_equiv
... ≃ empty : prod_empty_equiv
... ≃ fin 0 : fin_zero_equiv_empty },
{ assert H : (a + 1) * m = a * m + m, rewrite [nat.right_distrib, one_mul],
calc fin (a + 1) × fin m
≃ (fin a + unit) × fin m : prod.prod_equiv_prod_right !fin_succ_equiv
... ≃ (fin a × fin m) + (unit × fin m) : sum_prod_right_distrib
... ≃ (fin a × fin m) + (fin m × unit) : prod_comm_equiv
... ≃ fin (a * m) + (fin m × unit) : v_0
... ≃ fin (a * m) + fin m : prod_unit_equiv
... ≃ fin (a * m + m) : fin_sum_equiv
... ≃ fin ((a + 1) * m) : equiv_of_eq (ap fin H⁻¹) },
end
definition fin_two_equiv_bool : fin 2 ≃ bool :=
let H := equiv_unit_of_is_contr (fin 1) in
calc
fin 2 ≃ fin (1 + 1) : equiv.refl
... ≃ fin 1 + fin 1 : fin_sum_equiv
... ≃ unit + unit : H
... ≃ bool : bool_equiv_unit_sum_unit
definition fin_sum_unit_equiv (n : nat) : fin n + unit ≃ fin (nat.succ n) :=
let H := equiv_unit_of_is_contr (fin 1) in
calc
fin n + unit ≃ fin n + fin 1 : H
... ≃ fin (nat.succ n) : fin_sum_equiv
definition fin_sum_equiv_cancel {n : nat} {A B : Type} (H : (fin n) + A ≃ (fin n) + B) :
A ≃ B :=
begin
induction n with n IH,
{ calc A ≃ A + empty : sum_empty_equiv
... ≃ empty + A : sum_comm_equiv
... ≃ fin 0 + A : fin_zero_equiv_empty
... ≃ fin 0 + B : H
... ≃ empty + B : fin_zero_equiv_empty
... ≃ B + empty : sum_comm_equiv
... ≃ B : sum_empty_equiv },
{ apply IH, apply unit_sum_equiv_cancel,
calc unit + (fin n + A) ≃ (unit + fin n) + A : sum_assoc_equiv
... ≃ (fin n + unit) + A : sum_comm_equiv
... ≃ fin (nat.succ n) + A : fin_sum_unit_equiv
... ≃ fin (nat.succ n) + B : H
... ≃ (fin n + unit) + B : fin_sum_unit_equiv
... ≃ (unit + fin n) + B : sum_comm_equiv
... ≃ unit + (fin n + B) : sum_assoc_equiv },
end
definition eq_of_fin_equiv {m n : nat} (H :fin m ≃ fin n) : m = n :=
begin
revert n H, induction m with m IH IH,
{ intro n H, cases n, reflexivity, exfalso,
apply to_fun fin_zero_equiv_empty, apply to_inv H, apply fin.zero },
{ intro n H, cases n with n, exfalso,
apply to_fun fin_zero_equiv_empty, apply to_fun H, apply fin.zero,
have unit + fin m ≃ unit + fin n, from
calc unit + fin m ≃ fin m + unit : sum_comm_equiv
... ≃ fin (nat.succ m) : fin_succ_equiv
... ≃ fin (nat.succ n) : H
... ≃ fin n + unit : fin_succ_equiv
... ≃ unit + fin n : sum_comm_equiv,
have fin m ≃ fin n, from unit_sum_equiv_cancel this,
apply ap nat.succ, apply IH _ this },
end
end fin
|
abd468b91fe56d541547230c7500639035d84895 | ac29b4b23012b196d8e8e8fd0482054e994814fb | /class group.lean | 35b25b4981deac60ed6091d4a896a529e0091c19 | [] | no_license | laughinggas/Ashvni | ebdcb0ac7486b9d11a0152952da2742246755a5a | 934229f6fd246ce1cd71597ef9a579f4cb9ef0ef | refs/heads/master | 1,672,397,364,924 | 1,602,089,148,000 | 1,602,089,148,000 | 226,743,788 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 12,500 | lean | import linear_algebra.finite_dimensional
import ring_theory.ideal.basic
import algebra.field
import ring_theory.subring
import ring_theory.integral_closure
import ring_theory.fractional_ideal
import data.rat.basic
import ring_theory.algebra
import ring_theory.algebraic
import field_theory.separable
import field_theory.normal
import data.padics.padic_integers
import algebra.category.CommRing.basic
import category_theory.concrete_category.bundled
import algebra.free_monoid
open function
open_locale classical big_operators
def is_integrally_closed_domain (R : Type*) [comm_ring R] : Prop := ∀ {r s : R}, s ≠ 0 → (∃ (n : ℕ) (f : ℕ → R)
(hf : f 0 = 1), ∑ ij in finset.nat.antidiagonal n, f ij.1 * r ^ ij.2 * s ^ ij.1 = 0) → s ∣ r
class dedekind_id (R : Type*) [integral_domain R] : Prop :=
(noetherian : is_noetherian_ring R)
(int_closed : is_integrally_closed_domain R)
(max_nonzero_primes : ∀ P : ideal R, P ≠ ⊥ → P.is_prime → P.is_maximal)
class number_field (K : Type*) :=
(fld : field K)
(alg : algebra ℚ K)
(fd : finite_dimensional ℚ K)
instance field_of_number_field (K : Type*) [number_field K] : field K := _inst_1.fld
instance algebra_of_number_field (K : Type*) [number_field K] : algebra ℚ K := _inst_1.alg
instance infinite_of_number_field (K : Type*) [number_field K] : infinite K := begin
let f : ℤ → K := (λ n, (n : ℚ) • (1 : K)),
apply infinite.of_injective f,
intros x y hxy,
have hxy2 : (x : ℚ) • (1 : K) = (y : ℚ) • (1 : K), exact hxy,
have h : 0 = ((x : ℚ) - (y : ℚ)) • (1 : K), calc 0 = (x : ℚ) • (1 : K) - (y : ℚ) • (1 : K) : by rw sub_eq_zero.mpr hxy
... = (x : ℚ) • (1 : K) + (-((y : ℚ) • (1 : K))) : sub_eq_add_neg (↑x • 1) (↑y • 1)
... = (x : ℚ) • (1 : K) + ((-(y : ℚ)) • (1 : K)) : by rw neg_smul
... = ((x : ℚ) + (-(y : ℚ))) • (1 : K) : by rw add_smul
... = ((x : ℚ) - (y : ℚ)) • (1 : K) : by rw sub_eq_add_neg,
have h2 : ((x : ℚ) - (y : ℚ)) = 0 ∨ (1 : K) = 0, {exact (@smul_eq_zero ℚ K _ _ _ ((x : ℚ) - (y : ℚ)) (1 : K)).1 (eq.symm h)},
cases h2, {have h3 : (x : ℚ) = (y : ℚ), exact sub_eq_zero.mp h2,
exact (rat.coe_int_inj (x : ℤ) (y : ℤ)).1 h3},
{exfalso, revert h2, simp}
end
def number_ring (K : Type*) [number_field K] := @integral_closure ℤ K _ (@field.to_comm_ring K _inst_1.fld) _
theorem integral_domain_of_number_ring (K : Type*) [number_field K] : integral_domain (number_ring K) :=
(number_ring K).integral_domain
example (K : Type*) [field K] (x : K) (h : x ≠ 0): x * (field.inv x) = 1 := field.mul_inv_cancel h
/-- A predicate to express that a ring is a field.
This is mainly useful because such a predicate does not contain data,
and can therefore be easily transported along ring isomorphisms. -/
structure is_field (R : Type*) [ring R] : Prop :=
(exists_pair_ne : ∃ (x y : R), x ≠ y)
(mul_comm : ∀ (x y : R), x * y = y * x)
(mul_inv_cancel' : ∀ {a : R}, a ≠ 0 → ∃ b, a * b = 1)
/-- Every field satisfies the predicate for integral domains. -/
lemma field.to_is_field (R : Type*) [field R] : is_field R :=
{mul_inv_cancel' := λ a ha, ⟨a⁻¹, field.mul_inv_cancel ha⟩,
.. (‹_› : field R) }
noncomputable def is_field.to_field (R : Type*) [ring R] (h : is_field R) : field R :=
{inv := (λ a, if ha : a = 0 then 0 else classical.some (is_field.mul_inv_cancel' h ha)),
inv_zero := (dif_pos rfl),
mul_inv_cancel := (λ a ha, begin
convert classical.some_spec (is_field.mul_inv_cancel' h ha),
exact dif_neg ha
end),
.._inst_1, ..h}
/-- There is a unique inverse in a field.
-/
lemma uniq_inv_of_is_field (R : Type*) [comm_ring R] [is_field R]: ∀ (x : R), x ≠ 0 → ∃! (y : R), x * y = 1 := begin
intros x hx,
apply exists_unique_of_exists_of_unique,
{exact _inst_2.mul_inv_cancel' hx},
intros y z hxy hxz,
calc y = y * 1 : eq.symm (mul_one y)
... = y * (x * z) : by rw hxz
... = (y * x) * z : eq.symm (mul_assoc y x z)
... = (x * y) * z : by rw mul_comm y x
... = 1 * z : by rw hxy
... = z : one_mul z
end
/-- If the quotient of a `comm_ring` by an ideal is a field, then the ideal is maximal
-/
lemma maximal_ideal_of_is_field_quotient (R : Type*) [comm_ring R] (I : ideal R)
[@is_field I.quotient (comm_ring.to_ring (ideal.quotient I))] : I.is_maximal := begin
apply ideal.is_maximal_iff.2,
split, {intro h,
rcases (_inst_2.exists_pair_ne) with ⟨⟨x⟩, ⟨y⟩, hxy⟩,
apply hxy,
apply ideal.quotient.eq.2,
rw ←mul_one (x-y),
apply submodule.smul_mem',
exact h},
{intros J x hIJ hxnI hxJ,
have hxn0 : (ideal.quotient.mk I x) ≠ 0,
{exact @mt ((ideal.quotient.mk I x) = 0) (x ∈ I) ideal.quotient.eq_zero_iff_mem.1 hxnI},
have hinvx : ∃ (y : I.quotient), (ideal.quotient.mk I x) * y = 1, {exact _inst_2.mul_inv_cancel' hxn0},
rcases hinvx with ⟨⟨y⟩, hy⟩,
change (ideal.quotient.mk I x) * (ideal.quotient.mk I y) = 1 at hy,
rw ←((ideal.quotient.mk I).map_mul x y) at hy,
have hxy1I : x*y-1 ∈ I, exact ideal.quotient.eq.1 hy,
have hxy1J : x*y-1 ∈ J, exact hIJ hxy1I,
have hxyJ : x*y ∈ J, exact ideal.mul_mem_right J hxJ,
have hend : x*y-(x*y-1) ∈ J, exact ideal.sub_mem J hxyJ hxy1J,
have h1 : 1 = x*y-(x*y-1), by ring,
rw h1,
exact hend}
end
/-- The quotient of a ring by an ideal is a field iff the ideal is maximal.
-/
theorem maximal_ideal_iff_is_field_quotient (R : Type*) [comm_ring R] (I : ideal R) :
I.is_maximal ↔ (@is_field I.quotient (comm_ring.to_ring (ideal.quotient I))) := begin
split,
{intro h,
exact @field.to_is_field I.quotient (@ideal.quotient.field _ _ I h)},
{intro h,
exact @maximal_ideal_of_is_field_quotient R _ I h,}
end
instance dedekind_domain_of_number_ring (K : Type*) [number_field K] : dedekind_id (number_ring K) := {
noetherian := sorry,
int_closed := sorry,
max_nonzero_primes := (begin
intros P hP hPp,
have hid : integral_domain P.quotient, exact @ideal.quotient.integral_domain _ _ P hPp,
have hfin : fintype P.quotient, {sorry},
have hf : is_field (P.quotient), {sorry},
exact @maximal_ideal_of_is_field_quotient (number_ring K) _ P hf,
end)}
noncomputable theory
open_locale classical
open finite_dimensional
open ring.fractional_ideal
namespace number_field
variables (K : Type*) [number_field K]
variables (g : fraction_map (number_ring K) K)
def fractional_ideal := { Q : ring.fractional_ideal g // is_unit Q }
@[ext]
lemma ext {I J : fractional_ideal K g} : (I.1 : submodule (number_ring K) g.codomain) = J.1.1 → I = J :=
begin
rw <-subtype.val_eq_coe,
rw subtype.ext_iff_val,
rw subtype.ext_iff_val,
rintros,
assumption,
end
instance : no_zero_divisors (ring.fractional_ideal g) :=
begin sorry, end
instance : has_mul (fractional_ideal K g) :=
begin
constructor,
rintros a b,
use a.1*b.1,
apply is_unit.mul,
use a.2,
use b.2,
end
lemma blossom (I J : fractional_ideal K g) : (I * J).val = I.val * J.val :=
begin
split,
end
lemma blossom' (I J : ring.fractional_ideal g) : (I * J).val = I.val * J.val :=
begin
split,
end
instance : has_one (fractional_ideal K g) :=
begin
use 1,
simp,
end
lemma idk (I J : ring.fractional_ideal g) : (I/J).val = I.val / J.val :=
begin
by_cases J=0,
subst J,
unfold has_div.div,
simp,
sorry,
sorry,
end
lemma work (I J : ring.fractional_ideal g) : I/J = I * J⁻¹ :=
begin
unfold has_div.div,
split_ifs,
rw h,
simp,
right,
unfold has_inv.inv,
unfold has_div.div,
split_ifs,
assumption,
exfalso,
simp at h_1,
assumption,
ext x,
unfold has_inv.inv,
unfold has_div.div,
split_ifs,
split,
rintros h,
simp at *,
sorry,
sorry,
end
@[simp] lemma coe_one : (1 : fractional_ideal K g).1 = 1 := rfl
lemma mul_one' (I : ring.fractional_ideal g) : I = I * 1 :=
begin
simp only [mul_one],
end
noncomputable instance fractional_ideal_has_div :
has_div (fractional_ideal K g) :=
begin
constructor,
rintros I J,
use I.1 / J.1,
sorry,
-- by_contra,
-- simp at a,
-- rw submodule.ext at a,
-- apply left_ne_zero_of_mul I.1 J.1,
-- cases I with I1 I2,
-- apply I2,
-- simp at a,
-- rw <-mul_left_cancel_iff (ring.fractional_ideal g) J.1 (I1 / ↑J) 0 at a,
-- rw subtype.ext_iff_val at a,
-- rw subtype.val_eq_coe at a,
-- rw subtype.val_eq_coe at a,
-- simp at *,
-- rw mul_left_inj J.1.1 _ _ at a,
end
noncomputable instance : has_inv (fractional_ideal K g) := ⟨λ I, 1 / I⟩
lemma pls_work (I : ring.fractional_ideal g) (h : I ≠ 0) : I * (1 / I) = 1 :=
begin
rw [ring.fractional_ideal.div_nonzero h],
apply le_antisymm,
{
apply submodule.mul_le.mpr _,
intros x hx y hy,
rw [mul_comm],
sorry,
-- exact submodule.mem_div_iff_forall_mul_mem.mp hy x hx,
},
{
sorry,
},
end
instance is_group : group (fractional_ideal K g) :=
begin
constructor,
{
rintros a,
rw subtype.ext_iff_val,
rw blossom,
have h : a⁻¹.val = a.val⁻¹,
split,
rw h,
rw coe_one,
unfold has_inv.inv,
simp,
sorry,
-- rw inv_mul_eq_one,
-- apply ring.fractional_ideal.coe_inv_of_nonzero,
-- use a.2,
},
{
rintros a b c,
rw subtype.ext_iff_val,
repeat{rw blossom},
rw subtype.ext_iff_val,
repeat{rw blossom'},
rw submodule.mul_assoc,
},
{
rintros a,
rw subtype.ext_iff_val,
rw subtype.ext_iff_val,
simp,
cases a,
sorry,
},
{
rintros a,
sorry,
},
end
def principal_fractional_ideal : subgroup (fractional_ideal K g) :=
{
carrier := { P : fractional_ideal K g | ∃ a : K, P.1 = ring.fractional_ideal.span_singleton a },
one_mem' := sorry,
mul_mem' := sorry,
inv_mem' := sorry,
}
def class_group := quotient_group.quotient (principal_fractional_ideal K g)
instance class_number_is_finite : fintype (class_group K g) :=
begin
sorry,
end
def class_number := fintype.card (class_group K g)
-- def equiv (I J : ring.fractional_ideal g) : Prop := ∃ a : number_ring K, (ideal.span{a})*I = J
-- theorem symmetricity : symmetric (equiv g) :=
def gal_ext (F L : Type*) [field F] [field L] [algebra F L] := (is_separable F L) ∧ (normal F L)
def gal_grp (F L : Type*) [field F] [field L] [algebra F L] : (Type : Type 1) := {σ : ring_aut L | ∀ x : F, σ (x • (1:L)) = (x • (1:L)) }
class zp_ext (L : Type*) [field L] (p : ℕ) [fact p.prime] ( h : ℕ → set L ) :=
( blah2 : ∀ i : ℕ, number_field (h i) )
( blah : ∀ i j : ℕ, i < j ↔ (h i) ⊂ (h j) )
( blah4 : ∀ i : ℕ, algebra (h 0) (h i) )
( blah3 : ∀ i : ℕ, gal_ext (h 0) (h i) )
( blah5 : ∀ i : ℕ, gal_grp (h 0) (h i) = zmod (p^i) )
( blah6 : L = ⋃ (i : ℕ), (h i) )
instance nth_ext (L : Type*) [field L] (p : ℕ) ( n : ℕ ) [fact p.prime] ( h : ℕ → set L ) [ zp_ext L p h ] : number_field (h n) := zp_ext.blah2 p n
variables {p : ℕ} [fact p.prime]
variables (L : Type 0) [field L] ( h : ℕ → set L ) [zp_ext L p h] (n : ℕ) [ gn : (fraction_map (number_ring (h n)) (h n) ) ]
instance any_ext : ∀ m : ℕ, number_field (h m) :=
begin
sorry,
end
lemma ne : ∀ m : ℕ, nonempty ( fraction_map (number_ring (h m)) (h m) ) :=
begin
sorry,
end
def class_no_tower' : ℕ → ℕ := λ m, class_number (h m) (classical.choice (ne L h m) )
-- def nth_class_no_for_tower : ℕ := class_number (h n) gn
theorem main : ∃ N : ℕ, ∀ m ≥ N, ∃ a b c : ℕ, padic_val_rat p (class_number (h m) (classical.choice (ne L h m) ) ) = a*p^m + b*m + c :=
begin
sorry,
end
-- def class_no_tower : ℕ → ℕ := λ n, (nth_class_no_for_tower L h n gn)
-- (localization_map (non_zero_divisors (number_ring (h n)) ) : fraction_map (number_ring (h n)) (h n) )
-- theorem main (L : Type*) [field L] ( h : ℕ → set L ) [zp_ext L p h] [∀ n : ℕ, number_field (h n)] [f : en = class_number (h n) _ ]
end number_field |
dd50b7c1e31f87cd2523f3339d70abf9f764956b | 36c7a18fd72e5b57229bd8ba36493daf536a19ce | /library/algebra/group_power.lean | d89d688ba60bad41dc3b4dce2866ac29b3ef3a10 | [
"Apache-2.0"
] | permissive | YHVHvx/lean | 732bf0fb7a298cd7fe0f15d82f8e248c11db49e9 | 038369533e0136dd395dc252084d3c1853accbf2 | refs/heads/master | 1,610,701,080,210 | 1,449,128,595,000 | 1,449,128,595,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 8,408 | lean | /-
Copyright (c) 2015 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Jeremy Avigad
The power operation on monoids and groups. We separate this from group, because it depends on
nat, which in turn depends on other parts of algebra.
We have "pow a n" for natural number powers, and "gpow a i" for integer powers. The notation
a^n is used for the first, but users can locally redefine it to gpow when needed.
Note: power adopts the convention that 0^0=1.
-/
import data.nat.basic data.int.basic
variables {A : Type}
structure has_pow_nat [class] (A : Type) :=
(pow_nat : A → nat → A)
definition pow_nat {A : Type} [s : has_pow_nat A] : A → nat → A :=
has_pow_nat.pow_nat
infix ` ^ ` := pow_nat
structure has_pow_int [class] (A : Type) :=
(pow_int : A → int → A)
definition pow_int {A : Type} [s : has_pow_int A] : A → int → A :=
has_pow_int.pow_int
namespace algebra
/- monoid -/
section monoid
open nat
variable [s : monoid A]
include s
definition monoid.pow (a : A) : ℕ → A
| 0 := 1
| (n+1) := a * monoid.pow n
definition monoid_has_pow_nat [reducible] [instance] : has_pow_nat A :=
has_pow_nat.mk monoid.pow
theorem pow_zero (a : A) : a^0 = 1 := rfl
theorem pow_succ (a : A) (n : ℕ) : a^(succ n) = a * a^n := rfl
theorem pow_one (a : A) : a^1 = a := !mul_one
theorem pow_two (a : A) : a^2 = a * a :=
calc
a^2 = a * (a * 1) : rfl
... = a * a : mul_one
theorem pow_three (a : A) : a^3 = a * (a * a) :=
calc
a^3 = a * (a * (a * 1)) : rfl
... = a * (a * a) : mul_one
theorem pow_four (a : A) : a^4 = a * (a * (a * a)) :=
calc
a^4 = a * a^3 : rfl
... = a * (a * (a * a)) : pow_three
theorem pow_succ' (a : A) : ∀n, a^(succ n) = a^n * a
| 0 := by rewrite [pow_succ, *pow_zero, one_mul, mul_one]
| (succ n) := by rewrite [pow_succ, pow_succ' at {1}, pow_succ, mul.assoc]
theorem one_pow : ∀ n : ℕ, 1^n = (1:A)
| 0 := rfl
| (succ n) := by rewrite [pow_succ, one_mul, one_pow]
theorem pow_add (a : A) (m n : ℕ) : a^(m + n) = a^m * a^n :=
begin
induction n with n ih,
{rewrite [nat.add_zero, pow_zero, mul_one]},
rewrite [add_succ, *pow_succ', ih, mul.assoc]
end
theorem pow_mul (a : A) (m : ℕ) : ∀ n, a^(m * n) = (a^m)^n
| 0 := by rewrite [nat.mul_zero, pow_zero]
| (succ n) := by rewrite [nat.mul_succ, pow_add, pow_succ', pow_mul]
theorem pow_comm (a : A) (m n : ℕ) : a^m * a^n = a^n * a^m :=
by rewrite [-*pow_add, add.comm]
end monoid
/- commutative monoid -/
section comm_monoid
open nat
variable [s : comm_monoid A]
include s
theorem mul_pow (a b : A) : ∀ n, (a * b)^n = a^n * b^n
| 0 := by rewrite [*pow_zero, mul_one]
| (succ n) := by rewrite [*pow_succ', mul_pow, *mul.assoc, mul.left_comm a]
end comm_monoid
section group
variable [s : group A]
include s
section nat
open nat
theorem inv_pow (a : A) : ∀n, (a⁻¹)^n = (a^n)⁻¹
| 0 := by rewrite [*pow_zero, one_inv]
| (succ n) := by rewrite [pow_succ, pow_succ', inv_pow, mul_inv]
theorem pow_sub (a : A) {m n : ℕ} (H : m ≥ n) : a^(m - n) = a^m * (a^n)⁻¹ :=
assert H1 : m - n + n = m, from nat.sub_add_cancel H,
have H2 : a^(m - n) * a^n = a^m, by rewrite [-pow_add, H1],
eq_mul_inv_of_mul_eq H2
theorem pow_inv_comm (a : A) : ∀m n, (a⁻¹)^m * a^n = a^n * (a⁻¹)^m
| 0 n := by rewrite [*pow_zero, one_mul, mul_one]
| m 0 := by rewrite [*pow_zero, one_mul, mul_one]
| (succ m) (succ n) := by rewrite [pow_succ' at {1}, pow_succ at {1}, pow_succ', pow_succ,
*mul.assoc, inv_mul_cancel_left, mul_inv_cancel_left, pow_inv_comm]
end nat
open int
definition gpow (a : A) : ℤ → A
| (of_nat n) := a^n
| -[1+n] := (a^(nat.succ n))⁻¹
open nat
private lemma gpow_add_aux (a : A) (m n : nat) :
gpow a ((of_nat m) + -[1+n]) = gpow a (of_nat m) * gpow a (-[1+n]) :=
or.elim (nat.lt_or_ge m (nat.succ n))
(assume H : (m < nat.succ n),
assert H1 : (#nat nat.succ n - m > nat.zero), from nat.sub_pos_of_lt H,
calc
gpow a ((of_nat m) + -[1+n]) = gpow a (sub_nat_nat m (nat.succ n)) : rfl
... = gpow a (-[1+ nat.pred (nat.sub (nat.succ n) m)]) : {sub_nat_nat_of_lt H}
... = (a ^ (nat.succ (nat.pred (nat.sub (nat.succ n) m))))⁻¹ : rfl
... = (a ^ (nat.succ n) * (a ^ m)⁻¹)⁻¹ :
by krewrite [succ_pred_of_pos H1, pow_sub a (nat.le_of_lt H)]
... = a ^ m * (a ^ (nat.succ n))⁻¹ :
by rewrite [mul_inv, inv_inv]
... = gpow a (of_nat m) * gpow a (-[1+n]) : rfl)
(assume H : (m ≥ nat.succ n),
calc
gpow a ((of_nat m) + -[1+n]) = gpow a (sub_nat_nat m (nat.succ n)) : rfl
... = gpow a (#nat m - nat.succ n) : {sub_nat_nat_of_ge H}
... = a ^ m * (a ^ (nat.succ n))⁻¹ : pow_sub a H
... = gpow a (of_nat m) * gpow a (-[1+n]) : rfl)
theorem gpow_add (a : A) : ∀i j : int, gpow a (i + j) = gpow a i * gpow a j
| (of_nat m) (of_nat n) := !pow_add
| (of_nat m) -[1+n] := !gpow_add_aux
| -[1+m] (of_nat n) := by rewrite [add.comm, gpow_add_aux, ↑gpow, -*inv_pow, pow_inv_comm]
| -[1+m] -[1+n] :=
calc
gpow a (-[1+m] + -[1+n]) = (a^(#nat nat.succ m + nat.succ n))⁻¹ : rfl
... = (a^(nat.succ m))⁻¹ * (a^(nat.succ n))⁻¹ : by rewrite [pow_add, pow_comm, mul_inv]
... = gpow a (-[1+m]) * gpow a (-[1+n]) : rfl
theorem gpow_comm (a : A) (i j : ℤ) : gpow a i * gpow a j = gpow a j * gpow a i :=
by rewrite [-*gpow_add, add.comm]
end group
section ordered_ring
open nat
variable [s : linear_ordered_ring A]
include s
theorem pow_pos {a : A} (H : a > 0) (n : ℕ) : a ^ n > 0 :=
begin
induction n,
rewrite pow_zero,
apply zero_lt_one,
rewrite pow_succ',
apply mul_pos,
apply v_0, apply H
end
theorem pow_ge_one_of_ge_one {a : A} (H : a ≥ 1) (n : ℕ) : a ^ n ≥ 1 :=
begin
induction n,
rewrite pow_zero,
apply le.refl,
rewrite [pow_succ', -mul_one 1],
apply mul_le_mul v_0 H zero_le_one,
apply le_of_lt,
apply pow_pos,
apply gt_of_ge_of_gt H zero_lt_one
end
theorem pow_two_add (n : ℕ) : (2:A)^n + 2^n = 2^(succ n) :=
by rewrite [pow_succ', -one_add_one_eq_two, left_distrib, *mul_one]
end ordered_ring
/- additive monoid -/
section add_monoid
variable [s : add_monoid A]
include s
local attribute add_monoid.to_monoid [trans_instance]
open nat
definition nmul : ℕ → A → A := λ n a, a^n
infix [priority algebra.prio] `⬝` := nmul
theorem zero_nmul (a : A) : (0:ℕ) ⬝ a = 0 := pow_zero a
theorem succ_nmul (n : ℕ) (a : A) : nmul (succ n) a = a + (nmul n a) := pow_succ a n
theorem succ_nmul' (n : ℕ) (a : A) : succ n ⬝ a = nmul n a + a := pow_succ' a n
theorem nmul_zero (n : ℕ) : n ⬝ 0 = (0:A) := one_pow n
theorem one_nmul (a : A) : 1 ⬝ a = a := pow_one a
theorem add_nmul (m n : ℕ) (a : A) : (m + n) ⬝ a = (m ⬝ a) + (n ⬝ a) := pow_add a m n
theorem mul_nmul (m n : ℕ) (a : A) : (m * n) ⬝ a = m ⬝ (n ⬝ a) := eq.subst (mul.comm n m) (pow_mul a n m)
theorem nmul_comm (m n : ℕ) (a : A) : (m ⬝ a) + (n ⬝ a) = (n ⬝ a) + (m ⬝ a) := pow_comm a m n
end add_monoid
/- additive commutative monoid -/
section add_comm_monoid
open nat
variable [s : add_comm_monoid A]
include s
local attribute add_comm_monoid.to_comm_monoid [trans_instance]
theorem nmul_add (n : ℕ) (a b : A) : n ⬝ (a + b) = (n ⬝ a) + (n ⬝ b) := mul_pow a b n
end add_comm_monoid
section add_group
variable [s : add_group A]
include s
local attribute add_group.to_group [trans_instance]
section nat
open nat
theorem nmul_neg (n : ℕ) (a : A) : n ⬝ (-a) = -(n ⬝ a) := inv_pow a n
theorem sub_nmul {m n : ℕ} (a : A) (H : m ≥ n) : (m - n) ⬝ a = (m ⬝ a) + -(n ⬝ a) := pow_sub a H
theorem nmul_neg_comm (m n : ℕ) (a : A) : (m ⬝ (-a)) + (n ⬝ a) = (n ⬝ a) + (m ⬝ (-a)) := pow_inv_comm a m n
end nat
open int
definition imul : ℤ → A → A := λ i a, gpow a i
theorem add_imul (i j : ℤ) (a : A) : imul (i + j) a = imul i a + imul j a :=
gpow_add a i j
theorem imul_comm (i j : ℤ) (a : A) : imul i a + imul j a = imul j a + imul i a := gpow_comm a i j
end add_group
end algebra
|
26185f94b27de620bc4c864e5a576b94ee5e1a29 | 367134ba5a65885e863bdc4507601606690974c1 | /src/algebra/continued_fractions/basic.lean | 7e6d22ee62bb5723206ad0b4d4ef9d6d588bb0c5 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 13,225 | lean | /-
Copyright (c) 2019 Kevin Kappelmann. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Kappelmann
-/
import data.seq.seq
import algebra.field
/-!
# Basic Definitions/Theorems for Continued Fractions
## Summary
We define generalised, simple, and regular continued fractions and functions to evaluate their
convergents. We follow the naming conventions from Wikipedia and [wall2018analytic], Chapter 1.
## Main definitions
1. Generalised continued fractions (gcfs)
2. Simple continued fractions (scfs)
3. (Regular) continued fractions ((r)cfs)
4. Computation of convergents using the recurrence relation in `convergents`.
5. Computation of convergents by directly evaluating the fraction described by the gcf in
`convergents'`.
## Implementation notes
1. The most commonly used kind of continued fractions in the literature are regular continued
fractions. We hence just call them `continued_fractions` in the library.
2. We use sequences from `data.seq` to encode potentially infinite sequences.
## References
- <https://en.wikipedia.org/wiki/Generalized_continued_fraction>
- [Wall, H.S., *Analytic Theory of Continued Fractions*][wall2018analytic]
## Tags
numerics, number theory, approximations, fractions
-/
-- Fix a carrier `α`.
variable (α : Type*)
/-!### Definitions-/
/-- We collect a partial numerator `aᵢ` and partial denominator `bᵢ` in a pair `⟨aᵢ,bᵢ⟩`. -/
@[derive inhabited]
protected structure generalized_continued_fraction.pair := (a : α) (b : α)
/-! Interlude: define some expected coercions and instances. -/
namespace generalized_continued_fraction.pair
open generalized_continued_fraction as gcf
variable {α}
/-- Make a `gcf.pair` printable. -/
instance [has_repr α] : has_repr (gcf.pair α) :=
⟨λ p, "(a : " ++ (repr p.a) ++ ", b : " ++ (repr p.b) ++ ")"⟩
/-- Maps a function `f` on both components of a given pair. -/
def map {β : Type*} (f : α → β) (gp : gcf.pair α) : gcf.pair β :=
⟨f gp.a, f gp.b⟩
section coe
/- Fix another type `β` which we will convert to. -/
variables {β : Type*} [has_coe α β]
/-- Coerce a pair by elementwise coercion. -/
instance has_coe_to_generalized_continued_fraction_pair :
has_coe (gcf.pair α) (gcf.pair β) :=
⟨map coe⟩
@[simp, norm_cast]
lemma coe_to_generalized_continued_fraction_pair {a b : α} :
(↑(gcf.pair.mk a b) : gcf.pair β) = gcf.pair.mk (a : β) (b : β) :=
rfl
end coe
end generalized_continued_fraction.pair
variable (α)
/--
A *generalised continued fraction* (gcf) is a potentially infinite expression of the form
a₀
h + ---------------------------
a₁
b₀ + --------------------
a₂
b₁ + --------------
a₃
b₂ + --------
b₃ + ...
where `h` is called the *head term* or *integer part*, the `aᵢ` are called the
*partial numerators* and the `bᵢ` the *partial denominators* of the gcf.
We store the sequence of partial numerators and denominators in a sequence of
generalized_continued_fraction.pairs `s`.
For convenience, one often writes `[h; (a₀, b₀), (a₁, b₁), (a₂, b₂),...]`.
-/
structure generalized_continued_fraction :=
(h : α) (s : seq $ generalized_continued_fraction.pair α)
variable {α}
namespace generalized_continued_fraction
open generalized_continued_fraction as gcf
/-- Constructs a generalized continued fraction without fractional part. -/
def of_integer (a : α) : gcf α :=
⟨a, seq.nil⟩
instance [inhabited α] : inhabited (gcf α) := ⟨of_integer (default _)⟩
/-- Returns the sequence of partial numerators `aᵢ` of `g`. -/
def partial_numerators (g : gcf α) : seq α := g.s.map gcf.pair.a
/-- Returns the sequence of partial denominators `bᵢ` of `g`. -/
def partial_denominators (g : gcf α) : seq α := g.s.map gcf.pair.b
/-- A gcf terminated at position `n` if its sequence terminates at position `n`. -/
def terminated_at (g : gcf α) (n : ℕ) : Prop := g.s.terminated_at n
/-- It is decidable whether a gcf terminated at a given position. -/
instance terminated_at_decidable (g : gcf α) (n : ℕ) : decidable (g.terminated_at n) :=
by { unfold terminated_at, apply_instance }
/-- A gcf terminates if its sequence terminates. -/
def terminates (g : gcf α) : Prop := g.s.terminates
section coe
/-! Interlude: define some expected coercions. -/
/- Fix another type `β` which we will convert to. -/
variables {β : Type*} [has_coe α β]
/-- Coerce a gcf by elementwise coercion. -/
instance has_coe_to_generalized_continued_fraction : has_coe (gcf α) (gcf β) :=
⟨λ g, ⟨(g.h : β), (g.s.map coe : seq $ gcf.pair β)⟩⟩
@[simp, norm_cast]
lemma coe_to_generalized_continued_fraction {g : gcf α} :
(↑(g : gcf α) : gcf β) = ⟨(g.h : β), (g.s.map coe : seq $ gcf.pair β)⟩ :=
rfl
end coe
end generalized_continued_fraction
/--
A generalized continued fraction is a *simple continued fraction* if all partial numerators are
equal to one.
1
h + ---------------------------
1
b₀ + --------------------
1
b₁ + --------------
1
b₂ + --------
b₃ + ...
-/
def generalized_continued_fraction.is_simple_continued_fraction
(g : generalized_continued_fraction α) [has_one α] : Prop :=
∀ (n : ℕ) (aₙ : α), g.partial_numerators.nth n = some aₙ → aₙ = 1
variable (α)
/--
A *simple continued fraction* (scf) is a generalized continued fraction (gcf) whose partial
numerators are equal to one.
1
h + ---------------------------
1
b₀ + --------------------
1
b₁ + --------------
1
b₂ + --------
b₃ + ...
For convenience, one often writes `[h; b₀, b₁, b₂,...]`.
It is encoded as the subtype of gcfs that satisfy
`generalized_continued_fraction.is_simple_continued_fraction`.
-/
def simple_continued_fraction [has_one α] :=
{g : generalized_continued_fraction α // g.is_simple_continued_fraction}
variable {α}
/- Interlude: define some expected coercions. -/
namespace simple_continued_fraction
open generalized_continued_fraction as gcf
open simple_continued_fraction as scf
variable [has_one α]
/-- Constructs a simple continued fraction without fractional part. -/
def of_integer (a : α) : scf α :=
⟨gcf.of_integer a, λ n aₙ h, by cases h⟩
instance : inhabited (scf α) := ⟨of_integer 1⟩
/-- Lift a scf to a gcf using the inclusion map. -/
instance has_coe_to_generalized_continued_fraction : has_coe (scf α) (gcf α) :=
by {unfold scf, apply_instance}
lemma coe_to_generalized_continued_fraction {s : scf α} : (↑s : gcf α) = s.val := rfl
end simple_continued_fraction
/--
A simple continued fraction is a *(regular) continued fraction* ((r)cf) if all partial denominators
`bᵢ` are positive, i.e. `0 < bᵢ`.
-/
def simple_continued_fraction.is_regular_continued_fraction [has_one α] [has_zero α] [has_lt α]
(s : simple_continued_fraction α) : Prop :=
∀ (n : ℕ) (bₙ : α),
(↑s : generalized_continued_fraction α).partial_denominators.nth n = some bₙ → 0 < bₙ
variable (α)
/--
A *(regular) continued fraction* ((r)cf) is a simple continued fraction (scf) whose partial
denominators are all positive. It is the subtype of scfs that satisfy
`simple_continued_fraction.is_regular_continued_fraction`.
-/
def continued_fraction [has_one α] [has_zero α] [has_lt α] :=
{s : simple_continued_fraction α // s.is_regular_continued_fraction}
variable {α}
/-! Interlude: define some expected coercions. -/
namespace continued_fraction
open generalized_continued_fraction as gcf
open simple_continued_fraction as scf
open continued_fraction as cf
variables [has_one α] [has_zero α] [has_lt α]
/-- Constructs a continued fraction without fractional part. -/
def of_integer (a : α) : cf α :=
⟨scf.of_integer a, λ n bₙ h, by cases h⟩
instance : inhabited (cf α) := ⟨of_integer 0⟩
/-- Lift a cf to a scf using the inclusion map. -/
instance has_coe_to_simple_continued_fraction : has_coe (cf α) (scf α) :=
by {unfold cf, apply_instance}
lemma coe_to_simple_continued_fraction {c : cf α} : (↑c : scf α) = c.val := rfl
/-- Lift a cf to a scf using the inclusion map. -/
instance has_coe_to_generalized_continued_fraction : has_coe (cf α) (gcf α) := ⟨λ c, ↑(↑c : scf α)⟩
lemma coe_to_generalized_continued_fraction {c : cf α} : (↑c : gcf α) = c.val := rfl
end continued_fraction
namespace generalized_continued_fraction
/-!
### Computation of Convergents
We now define how to compute the convergents of a gcf. There are two standard ways to do this:
directly evaluating the (infinite) fraction described by the gcf or using a recurrence relation.
For (r)cfs, these computations are equivalent as shown in
`algebra.continued_fractions.convergents_equiv`.
-/
open generalized_continued_fraction as gcf
-- Fix a division ring for the computations.
variables {K : Type*} [division_ring K]
/-!
We start with the definition of the recurrence relation. Given a gcf `g`, for all `n ≥ 1`, we define
- `A₋₁ = 1, A₀ = h, Aₙ = bₙ₋₁ * Aₙ₋₁ + aₙ₋₁ * Aₙ₋₂`, and
- `B₋₁ = 0, B₀ = 1, Bₙ = bₙ₋₁ * Bₙ₋₁ + aₙ₋₁ * Bₙ₋₂`.
`Aₙ, `Bₙ` are called the *nth continuants*, Aₙ the *nth numerator*, and `Bₙ` the
*nth denominator* of `g`. The *nth convergent* of `g` is given by `Aₙ / Bₙ`.
-/
/--
Returns the next numerator `Aₙ = bₙ₋₁ * Aₙ₋₁ + aₙ₋₁ * Aₙ₋₂`, where `predA` is `Aₙ₋₁`,
`ppredA` is `Aₙ₋₂`, `a` is `aₙ₋₁`, and `b` is `bₙ₋₁`.
-/
def next_numerator (a b ppredA predA : K) : K := b * predA + a * ppredA
/--
Returns the next denominator `Bₙ = bₙ₋₁ * Bₙ₋₁ + aₙ₋₁ * Bₙ₋₂``, where `predB` is `Bₙ₋₁` and
`ppredB` is `Bₙ₋₂`, `a` is `aₙ₋₁`, and `b` is `bₙ₋₁`.
-/
def next_denominator (aₙ bₙ ppredB predB : K) : K := bₙ * predB + aₙ * ppredB
/--
Returns the next continuants `⟨Aₙ, Bₙ⟩` using `next_numerator` and `next_denominator`, where `pred`
is `⟨Aₙ₋₁, Bₙ₋₁⟩`, `ppred` is `⟨Aₙ₋₂, Bₙ₋₂⟩`, `a` is `aₙ₋₁`, and `b` is `bₙ₋₁`.
-/
def next_continuants (a b : K) (ppred pred : gcf.pair K) : gcf.pair K :=
⟨next_numerator a b ppred.a pred.a, next_denominator a b ppred.b pred.b⟩
/-- Returns the continuants `⟨Aₙ₋₁, Bₙ₋₁⟩` of `g`. -/
def continuants_aux (g : gcf K) : stream (gcf.pair K)
| 0 := ⟨1, 0⟩
| 1 := ⟨g.h, 1⟩
| (n + 2) :=
match g.s.nth n with
| none := continuants_aux (n + 1)
| some gp := next_continuants gp.a gp.b (continuants_aux n) (continuants_aux $ n + 1)
end
/-- Returns the continuants `⟨Aₙ, Bₙ⟩` of `g`. -/
def continuants (g : gcf K) : stream (gcf.pair K) := g.continuants_aux.tail
/-- Returns the numerators `Aₙ` of `g`. -/
def numerators (g : gcf K) : stream K := g.continuants.map gcf.pair.a
/-- Returns the denominators `Bₙ` of `g`. -/
def denominators (g : gcf K) : stream K := g.continuants.map gcf.pair.b
/-- Returns the convergents `Aₙ / Bₙ` of `g`, where `Aₙ, Bₙ` are the nth continuants of `g`. -/
def convergents (g : gcf K) : stream K := λ (n : ℕ), (g.numerators n) / (g.denominators n)
/--
Returns the approximation of the fraction described by the given sequence up to a given position n.
For example, `convergents'_aux [(1, 2), (3, 4), (5, 6)] 2 = 1 / (2 + 3 / 4)` and
`convergents'_aux [(1, 2), (3, 4), (5, 6)] 0 = 0`.
-/
def convergents'_aux : seq (gcf.pair K) → ℕ → K
| s 0 := 0
| s (n + 1) := match s.head with
| none := 0
| some gp := gp.a / (gp.b + convergents'_aux s.tail n)
end
/--
Returns the convergents of `g` by evaluating the fraction described by `g` up to a given
position `n`. For example, `convergents' [9; (1, 2), (3, 4), (5, 6)] 2 = 9 + 1 / (2 + 3 / 4)` and
`convergents' [9; (1, 2), (3, 4), (5, 6)] 0 = 9`
-/
def convergents' (g : gcf K) (n : ℕ) : K := g.h + convergents'_aux g.s n
end generalized_continued_fraction
-- Now, some basic, general theorems
namespace generalized_continued_fraction
open generalized_continued_fraction as gcf
/-- Two gcfs `g` and `g'` are equal if and only if their components are equal. -/
protected lemma ext_iff {g g' : gcf α} : g = g' ↔ g.h = g'.h ∧ g.s = g'.s :=
by { cases g, cases g', simp }
@[ext]
protected lemma ext {g g' : gcf α} (hyp : g.h = g'.h ∧ g.s = g'.s) : g = g' :=
generalized_continued_fraction.ext_iff.elim_right hyp
end generalized_continued_fraction
|
99c14028bade87ca80d76b806561df8b9b9f9eab | f41725a360d902d3c7939fdf81a5acaf0d0467f0 | /src/statements.lean | ebac871c4b5f6203f685fa805290d23d3388e5ce | [] | no_license | pglutz/galois_theory | 978765d82b7586c21fd719b84b21d5eea030b25d | 4561c2c97d4c49377356e1d7a2051dedc87d30ba | refs/heads/master | 1,671,472,063,361 | 1,603,597,360,000 | 1,603,597,360,000 | 281,502,125 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,784 | lean | import field_theory.separable
import field_theory.normal
import field_theory.fixed
import group_theory.group_action
import automorphisms
import primitive_element
variables (F : Type*) [field F] (E : Type*) [field E] [algebra F E]
@[class] def is_galois : Prop := is_separable F E ∧ normal F E
@[class] def fin_galois : Prop := finite_dimensional F E ∧ is_galois F E
--splitting field of separable polynomial
def fin_galois' : Prop := ∃ f : polynomial F, f.separable ∧ polynomial.is_splitting_field F E f
--fixed field of aut
def fin_galois'' : Prop := finite_dimensional F E ∧ base_field_image F E = mul_action.fixed_points (E ≃ₐ[F] E) E
--fixed field of some subgroup of aut
def fin_galois''' : Prop := ∃ H : subgroup (E ≃ₐ[F] E), ∃ is_fin : fintype H, base_field_image F E = mul_action.fixed_points H E
lemma fin_galois'_implies_fin_galois'' : fin_galois' F E → fin_galois'' F E :=
begin
intro h,
cases h with f hf,
split,
exact @polynomial.is_splitting_field.finite_dimensional F E _ _ _ f hf.2,
sorry,
end
lemma fin_galois''_implies_fin_galois''': fin_galois'' F E → fin_galois''' F E :=
begin
intro h,
use (⊤ : subgroup (E ≃ₐ[F] E)),
sorry,
end
lemma fis_galois'''_implies_fin_galois : fin_galois''' F E → fin_galois F E := sorry
lemma fin_galois_implies_fin_galois' : fin_galois F E → fin_galois' F E :=
begin
intro h,
cases primitive_element F h.2.1 h.1 with α hE,
cases h.2.2 α with hα hf,
use minimal_polynomial hα,
sorry,
end
lemma fin_galois_iff_fin_galois' : fin_galois F E ↔ fin_galois' F E := sorry
lemma fin_galois_iff_fin_galois'' : fin_galois F E ↔ fin_galois'' F E := sorry
lemma fin_galois_iff_fin_galois''' : fin_galois F E ↔ fin_galois''' F E := sorry
|
c89f36c38669e47c447543d5083bf14c653c57d5 | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/run/cast_sorry_bug.lean | 37804762e7c3b2d35fcf5eef4cd90192d06d3933 | [
"Apache-2.0"
] | permissive | soonhokong/lean | cb8aa01055ffe2af0fb99a16b4cda8463b882cd1 | 38607e3eb57f57f77c0ac114ad169e9e4262e24f | refs/heads/master | 1,611,187,284,081 | 1,450,766,737,000 | 1,476,122,547,000 | 11,513,992 | 2 | 0 | null | 1,401,763,102,000 | 1,374,182,235,000 | C++ | UTF-8 | Lean | false | false | 383 | lean | import logic data.nat
open nat
inductive fin : ℕ → Type :=
| zero : Π {n : ℕ}, fin (succ n)
| succ : Π {n : ℕ}, fin n → fin (succ n)
theorem foo (n m : ℕ) (a : fin n) (b : fin m) (H : n = m) : cast (congr_arg fin H) a = b :=
have eq : fin n = fin m, from congr_arg fin H,
have ceq : cast eq a = b, from sorry, -- sorry implicit argument must have access to eq
sorry
|
67ab9a37ae3dafb4dd34ecd92d0020cc38925ed4 | 8b9f17008684d796c8022dab552e42f0cb6fb347 | /hott/types/prod.hlean | ef1e5a200b3d66a1d816db824be0721ba26db6be | [
"Apache-2.0"
] | permissive | chubbymaggie/lean | 0d06ae25f9dd396306fb02190e89422ea94afd7b | d2c7b5c31928c98f545b16420d37842c43b4ae9a | refs/heads/master | 1,611,313,622,901 | 1,430,266,839,000 | 1,430,267,083,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,285 | hlean | /-
Copyright (c) 2014 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Module: types.prod
Author: Floris van Doorn
Ported from Coq HoTT
Theorems about products
-/
open eq equiv is_equiv is_trunc prod
variables {A A' B B' C D : Type}
{a a' a'' : A} {b b₁ b₂ b' b'' : B} {u v w : A × B}
namespace prod
-- prod.eta is already used for the eta rule for strict equality
protected definition eta (u : A × B) : (pr₁ u , pr₂ u) = u :=
by cases u; apply idp
definition pair_eq (pa : a = a') (pb : b = b') : (a , b) = (a' , b') :=
by cases pa; cases pb; apply idp
definition prod_eq (H₁ : pr₁ u = pr₁ v) (H₂ : pr₂ u = pr₂ v) : u = v :=
begin
cases u with [a₁, b₁],
cases v with [a₂, b₂],
apply (transport _ (eta (a₁, b₁))),
apply (transport _ (eta (a₂, b₂))),
apply (pair_eq H₁ H₂),
end
/- Symmetry -/
definition is_equiv_flip [instance] (A B : Type) : is_equiv (@flip A B) :=
adjointify flip
flip
(λu, destruct u (λb a, idp))
(λu, destruct u (λa b, idp))
definition prod_comm_equiv (A B : Type) : A × B ≃ B × A :=
equiv.mk flip _
-- is_trunc_prod is defined in sigma
end prod
|
c778da13a66a80828578da2a7de2ee84a812c8e8 | 94e33a31faa76775069b071adea97e86e218a8ee | /test/instance_diamonds.lean | 75001714fb61c706ea341b1bcffd13d603561835 | [
"Apache-2.0"
] | permissive | urkud/mathlib | eab80095e1b9f1513bfb7f25b4fa82fa4fd02989 | 6379d39e6b5b279df9715f8011369a301b634e41 | refs/heads/master | 1,658,425,342,662 | 1,658,078,703,000 | 1,658,078,703,000 | 186,910,338 | 0 | 0 | Apache-2.0 | 1,568,512,083,000 | 1,557,958,709,000 | Lean | UTF-8 | Lean | false | false | 6,376 | lean | /-
Copyright (c) 2021 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import algebra.module.pi
import data.polynomial.basic
import group_theory.group_action.prod
import group_theory.group_action.units
import data.complex.module
import ring_theory.algebraic
import data.zmod.basic
/-! # Tests that instances do not form diamonds -/
/-! ## Scalar action instances -/
section has_smul
open_locale polynomial
example :
(sub_neg_monoid.has_smul_int : has_smul ℤ ℂ) = (complex.has_smul : has_smul ℤ ℂ) :=
rfl
example : restrict_scalars.module ℝ ℂ ℂ = complex.module := rfl
example : restrict_scalars.algebra ℝ ℂ ℂ = complex.algebra := rfl
example (α β : Type*) [add_monoid α] [add_monoid β] :
(prod.has_smul : has_smul ℕ (α × β)) = add_monoid.has_smul_nat := rfl
example (α β : Type*) [sub_neg_monoid α] [sub_neg_monoid β] :
(prod.has_smul : has_smul ℤ (α × β)) = sub_neg_monoid.has_smul_int := rfl
example (α : Type*) (β : α → Type*) [Π a, add_monoid (β a)] :
(pi.has_smul : has_smul ℕ (Π a, β a)) = add_monoid.has_smul_nat := rfl
example (α : Type*) (β : α → Type*) [Π a, sub_neg_monoid (β a)] :
(pi.has_smul : has_smul ℤ (Π a, β a)) = sub_neg_monoid.has_smul_int := rfl
section units
example (α : Type*) [monoid α] :
(units.mul_action : mul_action αˣ (α × α)) = prod.mul_action := rfl
example (R α : Type*) (β : α → Type*) [monoid R] [Π i, mul_action R (β i)] :
(units.mul_action : mul_action Rˣ (Π i, β i)) = pi.mul_action _ := rfl
example (R α : Type*) (β : α → Type*) [monoid R] [semiring α] [distrib_mul_action R α] :
(units.distrib_mul_action : distrib_mul_action Rˣ α[X]) =
polynomial.distrib_mul_action :=
rfl
/-!
TODO: https://leanprover.zulipchat.com/#narrow/stream/113488-general/topic/units.2Emul_action'.20diamond/near/246402813
```lean
example {α : Type*} [comm_monoid α] :
(units.mul_action' : mul_action αˣ αˣ) = monoid.to_mul_action _ :=
rfl -- fails
```
-/
end units
end has_smul
/-! ## `with_top` (Type with point at infinity) instances -/
section with_top
example (R : Type*) [h : ordered_semiring R] :
(@with_top.add_comm_monoid R
(@non_unital_non_assoc_semiring.to_add_comm_monoid R
(@non_assoc_semiring.to_non_unital_non_assoc_semiring R
(@semiring.to_non_assoc_semiring R
(@ordered_semiring.to_semiring R h)))))
=
(@ordered_add_comm_monoid.to_add_comm_monoid (with_top R)
(@with_top.ordered_add_comm_monoid R
(@ordered_cancel_add_comm_monoid.to_ordered_add_comm_monoid R
(@ordered_semiring.to_ordered_cancel_add_comm_monoid R h)))) :=
rfl
end with_top
/-! ## `multiplicative` instances -/
section multiplicative
example :
@monoid.to_mul_one_class (multiplicative ℕ) (comm_monoid.to_monoid _) =
multiplicative.mul_one_class :=
rfl
-- `dunfold` can still break unification, but it's better to have `dunfold` break it than have the
-- above example fail.
example :
@monoid.to_mul_one_class (multiplicative ℕ) (comm_monoid.to_monoid _) =
multiplicative.mul_one_class :=
begin
dunfold has_one.one multiplicative.mul_one_class,
success_if_fail { refl, },
ext,
refl
end
end multiplicative
/-! ## `finsupp` instances-/
section finsupp
open finsupp
/-- `finsupp.comap_has_smul` can form a non-equal diamond with `finsupp.has_smul` -/
example {k : Type*} [semiring k] [nontrivial k] :
(finsupp.comap_has_smul : has_smul k (k →₀ k)) ≠ finsupp.has_smul :=
begin
obtain ⟨u : k, hu⟩ := exists_ne (1 : k),
intro h,
simp only [has_smul.ext_iff, function.funext_iff, finsupp.ext_iff] at h,
replace h := h u (finsupp.single 1 1) u,
classical,
rw [comap_smul_single, smul_apply, smul_eq_mul, mul_one, single_eq_same,
smul_eq_mul, single_eq_of_ne hu.symm, mul_zero] at h,
exact one_ne_zero h,
end
/-- `finsupp.comap_has_smul` can form a non-equal diamond with `finsupp.has_smul` even when
the domain is a group. -/
example {k : Type*} [semiring k] [nontrivial kˣ] :
(finsupp.comap_has_smul : has_smul kˣ (kˣ →₀ k)) ≠ finsupp.has_smul :=
begin
obtain ⟨u : kˣ, hu⟩ := exists_ne (1 : kˣ),
haveI : nontrivial k := ⟨⟨u, 1, units.ext.ne hu⟩⟩,
intro h,
simp only [has_smul.ext_iff, function.funext_iff, finsupp.ext_iff] at h,
replace h := h u (finsupp.single 1 1) u,
classical,
rw [comap_smul_single, smul_apply, units.smul_def, smul_eq_mul, mul_one, single_eq_same,
smul_eq_mul, single_eq_of_ne hu.symm, mul_zero] at h,
exact one_ne_zero h,
end
end finsupp
/-! ## `polynomial` instances -/
section polynomial
variables (R A : Type*)
open_locale polynomial
open polynomial
/-- `polynomial.has_smul_pi` forms a diamond with `pi.has_smul`. -/
example [semiring R] [nontrivial R] :
polynomial.has_smul_pi _ _ ≠ (pi.has_smul : has_smul R[X] (R → R[X])) :=
begin
intro h,
simp_rw [has_smul.ext_iff, function.funext_iff, polynomial.ext_iff] at h,
simpa using h X 1 1 0,
end
/-- `polynomial.has_smul_pi'` forms a diamond with `pi.has_smul`. -/
example [comm_semiring R] [nontrivial R] :
polynomial.has_smul_pi' _ _ _ ≠ (pi.has_smul : has_smul R[X] (R → R[X])) :=
begin
intro h,
simp_rw [has_smul.ext_iff, function.funext_iff, polynomial.ext_iff] at h,
simpa using h X 1 1 0,
end
/-- `polynomial.has_smul_pi'` is consistent with `polynomial.has_smul_pi`. -/
example [comm_semiring R] [nontrivial R] :
polynomial.has_smul_pi' _ _ _ = (polynomial.has_smul_pi _ _ : has_smul R[X] (R → R[X])) :=
rfl
end polynomial
/-! ## `subtype` instances -/
section subtype
-- this diamond is the reason that `fintype.to_locally_finite_order` is not an instance
example {α} [preorder α] [locally_finite_order α] [fintype α] [@decidable_rel α (<)]
[@decidable_rel α (≤)] (p : α → Prop) [decidable_pred p] :
subtype.locally_finite_order p = fintype.to_locally_finite_order :=
begin
success_if_fail { refl, },
exact subsingleton.elim _ _
end
end subtype
/-! ## `zmod` instances -/
section zmod
variables {p : ℕ} [fact p.prime]
example : @euclidean_domain.to_comm_ring _ (@field.to_euclidean_domain _ (zmod.field p)) =
zmod.comm_ring p :=
rfl
example (n : ℕ) : zmod.comm_ring (n + 1) = fin.comm_ring n := rfl
example : zmod.comm_ring 0 = int.comm_ring := rfl
end zmod
|
de43e9ff3eb56f90057018e39ce8f443c45ea003 | a2ee6a66690e8da666951cac0c243d42db11f9f3 | /src/linear_algebra/basic.lean | af86e0ced075d55764d4bd120fc0c495b2d33f6a | [
"Apache-2.0"
] | permissive | shyamalschandra/mathlib | 6d414d7c334bf383e764336843f065bd14c44273 | ca679acad147870b2c5087d90fe3550f107dea49 | refs/heads/master | 1,671,730,354,335 | 1,601,883,576,000 | 1,601,883,576,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 106,119 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Kevin Buzzard, Yury Kudryashov
-/
import algebra.big_operators.pi
import algebra.module.pi
import algebra.module.prod
import algebra.module.submodule
import algebra.group.prod
import data.finsupp.basic
import algebra.pointwise
/-!
# Linear algebra
This file defines the basics of linear algebra. It sets up the "categorical/lattice structure" of
modules over a ring, submodules, and linear maps. If `p` and `q` are submodules of a module, `p ≤ q`
means that `p ⊆ q`.
Many of the relevant definitions, including `module`, `submodule`, and `linear_map`, are found in
`src/algebra/module.lean`.
## Main definitions
* Many constructors for linear maps, including `prod` and `coprod`
* `submodule.span s` is defined to be the smallest submodule containing the set `s`.
* If `p` is a submodule of `M`, `submodule.quotient p` is the quotient of `M` with respect to `p`:
that is, elements of `M` are identified if their difference is in `p`. This is itself a module.
* The kernel `ker` and range `range` of a linear map are submodules of the domain and codomain
respectively.
* `linear_equiv M M₂`, the type of linear equivalences between `M` and `M₂`, is a structure that
extends `linear_map` and `equiv`.
* The general linear group is defined to be the group of invertible linear maps from `M` to itself.
## Main statements
* The first and second isomorphism laws for modules are proved as `quot_ker_equiv_range` and
`quotient_inf_equiv_sup_quotient`.
## Notations
* We continue to use the notation `M →ₗ[R] M₂` for the type of linear maps from `M` to `M₂` over the
ring `R`.
* We introduce the notations `M ≃ₗ M₂` and `M ≃ₗ[R] M₂` for `linear_equiv M M₂`. In the first, the
ring `R` is implicit.
## Implementation notes
We note that, when constructing linear maps, it is convenient to use operations defined on bundled
maps (`prod`, `coprod`, arithmetic operations like `+`) instead of defining a function and proving
it is linear.
## Tags
linear algebra, vector space, module
-/
open function
open_locale big_operators
reserve infix ` ≃ₗ `:25
universes u v w x y z u' v' w' y'
variables {R : Type u} {K : Type u'} {M : Type v} {V : Type v'} {M₂ : Type w} {V₂ : Type w'}
variables {M₃ : Type y} {V₃ : Type y'} {M₄ : Type z} {ι : Type x}
namespace finsupp
lemma smul_sum {α : Type u} {β : Type v} {R : Type w} {M : Type y}
[has_zero β] [semiring R] [add_comm_monoid M] [semimodule R M]
{v : α →₀ β} {c : R} {h : α → β → M} :
c • (v.sum h) = v.sum (λa b, c • h a b) :=
finset.smul_sum
end finsupp
section
open_locale classical
/-- decomposing `x : ι → R` as a sum along the canonical basis -/
lemma pi_eq_sum_univ {ι : Type u} [fintype ι] {R : Type v} [semiring R] (x : ι → R) :
x = ∑ i, x i • (λj, if i = j then 1 else 0) :=
by { ext, simp }
end
/-! ### Properties of linear maps -/
namespace linear_map
section add_comm_monoid
variables [semiring R]
variables [add_comm_monoid M] [add_comm_monoid M₂] [add_comm_monoid M₃] [add_comm_monoid M₄]
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃] [semimodule R M₄]
variables (f g : M →ₗ[R] M₂)
include R
@[simp] theorem comp_id : f.comp id = f :=
linear_map.ext $ λ x, rfl
@[simp] theorem id_comp : id.comp f = f :=
linear_map.ext $ λ x, rfl
theorem comp_assoc (g : M₂ →ₗ[R] M₃) (h : M₃ →ₗ[R] M₄) : (h.comp g).comp f = h.comp (g.comp f) :=
rfl
/-- The restriction of a linear map `f : M → M₂` to a submodule `p ⊆ M` gives a linear map
`p → M₂`. -/
def dom_restrict (f : M →ₗ[R] M₂) (p : submodule R M) : p →ₗ[R] M₂ := f.comp p.subtype
@[simp] lemma dom_restrict_apply (f : M →ₗ[R] M₂) (p : submodule R M) (x : p) :
f.dom_restrict p x = f x := rfl
/-- A linear map `f : M₂ → M` whose values lie in a submodule `p ⊆ M` can be restricted to a
linear map M₂ → p. -/
def cod_restrict (p : submodule R M) (f : M₂ →ₗ[R] M) (h : ∀c, f c ∈ p) : M₂ →ₗ[R] p :=
by refine {to_fun := λc, ⟨f c, h c⟩, ..}; intros; apply set_coe.ext; simp
@[simp] theorem cod_restrict_apply (p : submodule R M) (f : M₂ →ₗ[R] M) {h} (x : M₂) :
(cod_restrict p f h x : M) = f x := rfl
@[simp] lemma comp_cod_restrict (p : submodule R M₂) (h : ∀b, f b ∈ p) (g : M₃ →ₗ[R] M) :
(cod_restrict p f h).comp g = cod_restrict p (f.comp g) (assume b, h _) :=
ext $ assume b, rfl
@[simp] lemma subtype_comp_cod_restrict (p : submodule R M₂) (h : ∀b, f b ∈ p) :
p.subtype.comp (cod_restrict p f h) = f :=
ext $ assume b, rfl
/-- Restrict domain and codomain of an endomorphism. -/
def restrict (f : M →ₗ[R] M) {p : submodule R M} (hf : ∀ x ∈ p, f x ∈ p) : p →ₗ[R] p :=
{ to_fun := λ x, ⟨f x, hf x.1 x.2⟩,
map_add' := begin intros, apply set_coe.ext, simp end,
map_smul' := begin intros, apply set_coe.ext, simp end }
lemma restrict_apply
{f : M →ₗ[R] M} {p : submodule R M} (hf : ∀ x ∈ p, f x ∈ p) (x : p) :
f.restrict hf x = ⟨f x, hf x.1 x.2⟩ := rfl
lemma subtype_comp_restrict {f : M →ₗ[R] M} {p : submodule R M} (hf : ∀ x ∈ p, f x ∈ p) :
p.subtype.comp (f.restrict hf) = f.dom_restrict p := rfl
lemma restrict_eq_cod_restrict_dom_restrict
{f : M →ₗ[R] M} {p : submodule R M} (hf : ∀ x ∈ p, f x ∈ p) :
f.restrict hf = (f.dom_restrict p).cod_restrict p (λ x, hf x.1 x.2) := rfl
lemma restrict_eq_dom_restrict_cod_restrict
{f : M →ₗ[R] M} {p : submodule R M} (hf : ∀ x, f x ∈ p) :
f.restrict (λ x _, hf x) = (f.cod_restrict p hf).dom_restrict p := rfl
/-- If a function `g` is a left and right inverse of a linear map `f`, then `g` is linear itself. -/
def inverse (g : M₂ → M) (h₁ : left_inverse g f) (h₂ : right_inverse g f) : M₂ →ₗ[R] M :=
by dsimp [left_inverse, function.right_inverse] at h₁ h₂; exact
⟨g, λ x y, by rw [← h₁ (g (x + y)), ← h₁ (g x + g y)]; simp [h₂],
λ a b, by rw [← h₁ (g (a • b)), ← h₁ (a • g b)]; simp [h₂]⟩
/-- The constant 0 map is linear. -/
instance : has_zero (M →ₗ[R] M₂) := ⟨⟨λ _, 0, by simp, by simp⟩⟩
instance : inhabited (M →ₗ[R] M₂) := ⟨0⟩
@[simp] lemma zero_apply (x : M) : (0 : M →ₗ[R] M₂) x = 0 := rfl
/-- The sum of two linear maps is linear. -/
instance : has_add (M →ₗ[R] M₂) :=
⟨λ f g, ⟨λ b, f b + g b, by simp [add_comm, add_left_comm], by simp [smul_add]⟩⟩
@[simp] lemma add_apply (x : M) : (f + g) x = f x + g x := rfl
/-- The type of linear maps is an additive monoid. -/
instance : add_comm_monoid (M →ₗ[R] M₂) :=
by refine {zero := 0, add := (+), ..};
intros; ext; simp [add_comm, add_left_comm]
instance linear_map_apply_is_add_monoid_hom (a : M) :
is_add_monoid_hom (λ f : M →ₗ[R] M₂, f a) :=
{ map_add := λ f g, linear_map.add_apply f g a,
map_zero := rfl }
lemma add_comp (g : M₂ →ₗ[R] M₃) (h : M₂ →ₗ[R] M₃) :
(h + g).comp f = h.comp f + g.comp f := rfl
lemma comp_add (g : M →ₗ[R] M₂) (h : M₂ →ₗ[R] M₃) :
h.comp (f + g) = h.comp f + h.comp g := by { ext, simp }
lemma sum_apply (t : finset ι) (f : ι → M →ₗ[R] M₂) (b : M) :
(∑ d in t, f d) b = ∑ d in t, f d b :=
(t.sum_hom (λ g : M →ₗ[R] M₂, g b)).symm
/-- `λb, f b • x` is a linear map. -/
def smul_right (f : M₂ →ₗ[R] R) (x : M) : M₂ →ₗ[R] M :=
⟨λb, f b • x, by simp [add_smul], by simp [smul_smul]⟩.
@[simp] theorem smul_right_apply (f : M₂ →ₗ[R] R) (x : M) (c : M₂) :
(smul_right f x : M₂ → M) c = f c • x := rfl
instance : has_one (M →ₗ[R] M) := ⟨linear_map.id⟩
instance : has_mul (M →ₗ[R] M) := ⟨linear_map.comp⟩
@[simp] lemma one_app (x : M) : (1 : M →ₗ[R] M) x = x := rfl
@[simp] lemma mul_app (A B : M →ₗ[R] M) (x : M) : (A * B) x = A (B x) := rfl
@[simp] theorem comp_zero : f.comp (0 : M₃ →ₗ[R] M) = 0 :=
ext $ assume c, by rw [comp_apply, zero_apply, zero_apply, f.map_zero]
@[simp] theorem zero_comp : (0 : M₂ →ₗ[R] M₃).comp f = 0 :=
rfl
@[norm_cast] lemma coe_fn_sum {ι : Type*} (t : finset ι) (f : ι → M →ₗ[R] M₂) :
⇑(∑ i in t, f i) = ∑ i in t, (f i : M → M₂) :=
add_monoid_hom.map_sum ⟨@to_fun R M M₂ _ _ _ _ _, rfl, λ x y, rfl⟩ _ _
instance : monoid (M →ₗ[R] M) :=
by refine {mul := (*), one := 1, ..}; { intros, apply linear_map.ext, simp {proj := ff} }
section
open_locale classical
/-- A linear map `f` applied to `x : ι → R` can be computed using the image under `f` of elements
of the canonical basis. -/
lemma pi_apply_eq_sum_univ [fintype ι] (f : (ι → R) →ₗ[R] M) (x : ι → R) :
f x = ∑ i, x i • (f (λj, if i = j then 1 else 0)) :=
begin
conv_lhs { rw [pi_eq_sum_univ x, f.map_sum] },
apply finset.sum_congr rfl (λl hl, _),
rw f.map_smul
end
end
section
variables (R M M₂)
/-- The first projection of a product is a linear map. -/
def fst : M × M₂ →ₗ[R] M := ⟨prod.fst, λ x y, rfl, λ x y, rfl⟩
/-- The second projection of a product is a linear map. -/
def snd : M × M₂ →ₗ[R] M₂ := ⟨prod.snd, λ x y, rfl, λ x y, rfl⟩
end
@[simp] theorem fst_apply (x : M × M₂) : fst R M M₂ x = x.1 := rfl
@[simp] theorem snd_apply (x : M × M₂) : snd R M M₂ x = x.2 := rfl
/-- The prod of two linear maps is a linear map. -/
def prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : M →ₗ[R] M₂ × M₃ :=
{ to_fun := λ x, (f x, g x),
map_add' := λ x y, by simp only [prod.mk_add_mk, map_add],
map_smul' := λ c x, by simp only [prod.smul_mk, map_smul] }
@[simp] theorem prod_apply (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) (x : M) :
prod f g x = (f x, g x) := rfl
@[simp] theorem fst_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) :
(fst R M₂ M₃).comp (prod f g) = f := by ext; refl
@[simp] theorem snd_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) :
(snd R M₂ M₃).comp (prod f g) = g := by ext; refl
@[simp] theorem pair_fst_snd : prod (fst R M M₂) (snd R M M₂) = linear_map.id :=
by ext; refl
section
variables (R M M₂)
/-- The left injection into a product is a linear map. -/
def inl : M →ₗ[R] M × M₂ := by refine ⟨add_monoid_hom.inl _ _, _, _⟩; intros; simp
/-- The right injection into a product is a linear map. -/
def inr : M₂ →ₗ[R] M × M₂ := by refine ⟨add_monoid_hom.inr _ _, _, _⟩; intros; simp
end
@[simp] theorem inl_apply (x : M) : inl R M M₂ x = (x, 0) := rfl
@[simp] theorem inr_apply (x : M₂) : inr R M M₂ x = (0, x) := rfl
theorem inl_injective : function.injective (inl R M M₂) :=
λ _, by simp
theorem inr_injective : function.injective (inr R M M₂) :=
λ _, by simp
/-- The coprod function `λ x : M × M₂, f x.1 + g x.2` is a linear map. -/
def coprod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : M × M₂ →ₗ[R] M₃ :=
{ to_fun := λ x, f x.1 + g x.2,
map_add' := λ x y, by simp only [map_add, prod.snd_add, prod.fst_add]; cc,
map_smul' := λ x y, by simp only [smul_add, prod.smul_snd, prod.smul_fst, map_smul] }
@[simp] theorem coprod_apply (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) (x : M) (y : M₂) :
coprod f g (x, y) = f x + g y := rfl
@[simp] theorem coprod_inl (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) :
(coprod f g).comp (inl R M M₂) = f :=
by ext; simp only [map_zero, add_zero, coprod_apply, inl_apply, comp_apply]
@[simp] theorem coprod_inr (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) :
(coprod f g).comp (inr R M M₂) = g :=
by ext; simp only [map_zero, coprod_apply, inr_apply, zero_add, comp_apply]
@[simp] theorem coprod_inl_inr : coprod (inl R M M₂) (inr R M M₂) = linear_map.id :=
by ext ⟨x, y⟩; simp only [prod.mk_add_mk, add_zero, id_apply, coprod_apply,
inl_apply, inr_apply, zero_add]
theorem fst_eq_coprod : fst R M M₂ = coprod linear_map.id 0 := by ext ⟨x, y⟩; simp
theorem snd_eq_coprod : snd R M M₂ = coprod 0 linear_map.id := by ext ⟨x, y⟩; simp
theorem inl_eq_prod : inl R M M₂ = prod linear_map.id 0 := rfl
theorem inr_eq_prod : inr R M M₂ = prod 0 linear_map.id := rfl
/-- `prod.map` of two linear maps. -/
def prod_map (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄) : (M × M₂) →ₗ[R] (M₃ × M₄) :=
(f.comp (fst R M M₂)).prod (g.comp (snd R M M₂))
@[simp] theorem prod_map_apply (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄) (x) :
f.prod_map g x = (f x.1, g x.2) := rfl
end add_comm_monoid
section add_comm_group
variables [semiring R] [add_comm_group M] [add_comm_group M₂] [add_comm_group M₃] [add_comm_group M₄]
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃] [semimodule R M₄]
variables (f g : M →ₗ[R] M₂)
include R
/-- The negation of a linear map is linear. -/
instance : has_neg (M →ₗ[R] M₂) :=
⟨λ f, ⟨λ b, - f b, by simp [add_comm], by simp⟩⟩
@[simp] lemma neg_apply (x : M) : (- f) x = - f x := rfl
@[simp] lemma comp_neg (g : M₂ →ₗ[R] M₃) : g.comp (- f) = - g.comp f := by { ext, simp }
/-- The type of linear maps is an additive group. -/
instance : add_comm_group (M →ₗ[R] M₂) :=
by refine {zero := 0, add := (+), neg := has_neg.neg, ..};
intros; ext; simp [add_comm, add_left_comm]
instance linear_map_apply_is_add_group_hom (a : M) :
is_add_group_hom (λ f : M →ₗ[R] M₂, f a) :=
{ map_add := λ f g, linear_map.add_apply f g a }
@[simp] lemma sub_apply (x : M) : (f - g) x = f x - g x := rfl
lemma sub_comp (g : M₂ →ₗ[R] M₃) (h : M₂ →ₗ[R] M₃) :
(g - h).comp f = g.comp f - h.comp f := rfl
lemma comp_sub (g : M →ₗ[R] M₂) (h : M₂ →ₗ[R] M₃) :
h.comp (g - f) = h.comp g - h.comp f := by { ext, simp }
end add_comm_group
section comm_semiring
variables [comm_semiring R] [add_comm_monoid M] [add_comm_monoid M₂] [add_comm_monoid M₃]
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃]
variables (f g : M →ₗ[R] M₂)
include R
instance : has_scalar R (M →ₗ[R] M₂) := ⟨λ a f,
⟨λ b, a • f b, by simp [smul_add], by simp [smul_smul, mul_comm]⟩⟩
@[simp] lemma smul_apply (a : R) (x : M) : (a • f) x = a • f x := rfl
instance : semimodule R (M →ₗ[R] M₂) :=
by refine { smul := (•), .. }; intros; ext; simp [smul_add, add_smul, smul_smul]
/-- Composition by `f : M₂ → M₃` is a linear map from the space of linear maps `M → M₂`
to the space of linear maps `M₂ → M₃`. -/
def comp_right (f : M₂ →ₗ[R] M₃) : (M →ₗ[R] M₂) →ₗ[R] (M →ₗ[R] M₃) :=
⟨linear_map.comp f,
λ _ _, linear_map.ext $ λ _, f.2 _ _,
λ _ _, linear_map.ext $ λ _, f.3 _ _⟩
theorem smul_comp (g : M₂ →ₗ[R] M₃) (a : R) : (a • g).comp f = a • (g.comp f) :=
rfl
theorem comp_smul (g : M₂ →ₗ[R] M₃) (a : R) : g.comp (a • f) = a • (g.comp f) :=
ext $ assume b, by rw [comp_apply, smul_apply, g.map_smul]; refl
/-- Applying a linear map at `v : M`, seen as a linear map from `M →ₗ[R] M₂` to `M₂`. -/
def applyₗ (v : M) : (M →ₗ[R] M₂) →ₗ[R] M₂ :=
{ to_fun := λ f, f v,
map_add' := λ f g, f.add_apply g v,
map_smul' := λ x f, f.smul_apply x v }
end comm_semiring
section ring
variables [ring R] [add_comm_group M] [semimodule R M]
instance endomorphism_ring : ring (M →ₗ[R] M) :=
by refine {mul := (*), one := 1, ..linear_map.add_comm_group, ..};
{ intros, apply linear_map.ext, simp {proj := ff} }
@[simp] lemma mul_apply (f g : M →ₗ[R] M) (x : M) : (f * g) x = f (g x) := rfl
end ring
section comm_ring
variables [comm_ring R] [add_comm_group M] [add_comm_group M₂] [add_comm_group M₃]
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃]
/--
The family of linear maps `M₂ → M` parameterised by `f ∈ M₂ → R`, `x ∈ M`, is linear in `f`, `x`.
-/
def smul_rightₗ : (M₂ →ₗ[R] R) →ₗ[R] M →ₗ[R] M₂ →ₗ[R] M :=
{ to_fun := λ f, {
to_fun := linear_map.smul_right f,
map_add' := λ m m', by { ext, apply smul_add, },
map_smul' := λ c m, by { ext, apply smul_comm, } },
map_add' := λ f f', by { ext, apply add_smul, },
map_smul' := λ c f, by { ext, apply mul_smul, } }
@[simp] lemma smul_rightₗ_apply (f : M₂ →ₗ[R] R) (x : M) (c : M₂) :
(smul_rightₗ : (M₂ →ₗ R) →ₗ M →ₗ M₂ →ₗ M) f x c = (f c) • x := rfl
end comm_ring
end linear_map
/-! ### Properties of submodules -/
namespace submodule
section add_comm_monoid
variables [semiring R] [add_comm_monoid M] [add_comm_monoid M₂] [add_comm_monoid M₃]
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃]
variables (p p' : submodule R M) (q q' : submodule R M₂)
variables {r : R} {x y : M}
open set
instance : partial_order (submodule R M) :=
{ le := λ p p', ∀ ⦃x⦄, x ∈ p → x ∈ p',
..partial_order.lift (coe : submodule R M → set M) coe_injective }
variables {p p'}
lemma le_def : p ≤ p' ↔ (p : set M) ⊆ p' := iff.rfl
lemma le_def' : p ≤ p' ↔ ∀ x ∈ p, x ∈ p' := iff.rfl
lemma lt_def : p < p' ↔ (p : set M) ⊂ p' := iff.rfl
lemma not_le_iff_exists : ¬ (p ≤ p') ↔ ∃ x ∈ p, x ∉ p' := not_subset
lemma exists_of_lt {p p' : submodule R M} : p < p' → ∃ x ∈ p', x ∉ p := exists_of_ssubset
lemma lt_iff_le_and_exists : p < p' ↔ p ≤ p' ∧ ∃ x ∈ p', x ∉ p :=
by rw [lt_iff_le_not_le, not_le_iff_exists]
/-- If two submodules `p` and `p'` satisfy `p ⊆ p'`, then `of_le p p'` is the linear map version of
this inclusion. -/
def of_le (h : p ≤ p') : p →ₗ[R] p' :=
p.subtype.cod_restrict p' $ λ ⟨x, hx⟩, h hx
@[simp] theorem coe_of_le (h : p ≤ p') (x : p) :
(of_le h x : M) = x := rfl
theorem of_le_apply (h : p ≤ p') (x : p) : of_le h x = ⟨x, h x.2⟩ := rfl
variables (p p')
lemma subtype_comp_of_le (p q : submodule R M) (h : p ≤ q) :
q.subtype.comp (of_le h) = p.subtype :=
by { ext ⟨b, hb⟩, refl }
/-- The set `{0}` is the bottom element of the lattice of submodules. -/
instance : has_bot (submodule R M) :=
⟨{ carrier := {0}, smul_mem' := by simp { contextual := tt }, .. (⊥ : add_submonoid M)}⟩
instance inhabited' : inhabited (submodule R M) := ⟨⊥⟩
@[simp] lemma bot_coe : ((⊥ : submodule R M) : set M) = {0} := rfl
section
variables (R)
@[simp] lemma mem_bot : x ∈ (⊥ : submodule R M) ↔ x = 0 := mem_singleton_iff
end
lemma nonzero_mem_of_bot_lt {I : submodule R M} (bot_lt : ⊥ < I) : ∃ a : I, a ≠ 0 :=
begin
have h := (submodule.lt_iff_le_and_exists.1 bot_lt).2,
tidy,
end
instance : order_bot (submodule R M) :=
{ bot := ⊥,
bot_le := λ p x, by simp {contextual := tt},
..submodule.partial_order }
protected lemma eq_bot_iff (p : submodule R M) : p = ⊥ ↔ ∀ x ∈ p, x = (0 : M) :=
⟨ λ h, h.symm ▸ λ x hx, (mem_bot R).mp hx,
λ h, eq_bot_iff.mpr (λ x hx, (mem_bot R).mpr (h x hx)) ⟩
protected lemma ne_bot_iff (p : submodule R M) : p ≠ ⊥ ↔ ∃ x ∈ p, x ≠ (0 : M) :=
by { haveI := classical.prop_decidable, simp_rw [ne.def, p.eq_bot_iff, not_forall] }
/-- The universal set is the top element of the lattice of submodules. -/
instance : has_top (submodule R M) :=
⟨{ carrier := univ, smul_mem' := λ _ _ _, trivial, .. (⊤ : add_submonoid M)}⟩
@[simp] lemma top_coe : ((⊤ : submodule R M) : set M) = univ := rfl
@[simp] lemma mem_top : x ∈ (⊤ : submodule R M) := trivial
lemma eq_bot_of_zero_eq_one (zero_eq_one : (0 : R) = 1) : p = ⊥ :=
by ext x; simp [semimodule.eq_zero_of_zero_eq_one x zero_eq_one]
instance : order_top (submodule R M) :=
{ top := ⊤,
le_top := λ p x _, trivial,
..submodule.partial_order }
instance : has_Inf (submodule R M) :=
⟨λ S, {
carrier := ⋂ s ∈ S, (s : set M),
zero_mem' := by simp,
add_mem' := by simp [add_mem] {contextual := tt},
smul_mem' := by simp [smul_mem] {contextual := tt} }⟩
private lemma Inf_le' {S : set (submodule R M)} {p} : p ∈ S → Inf S ≤ p :=
bInter_subset_of_mem
private lemma le_Inf' {S : set (submodule R M)} {p} : (∀p' ∈ S, p ≤ p') → p ≤ Inf S :=
subset_bInter
instance : has_inf (submodule R M) :=
⟨λ p p', {
carrier := p ∩ p',
zero_mem' := by simp,
add_mem' := by simp [add_mem] {contextual := tt},
smul_mem' := by simp [smul_mem] {contextual := tt} }⟩
instance : complete_lattice (submodule R M) :=
{ sup := λ a b, Inf {x | a ≤ x ∧ b ≤ x},
le_sup_left := λ a b, le_Inf' $ λ x ⟨ha, hb⟩, ha,
le_sup_right := λ a b, le_Inf' $ λ x ⟨ha, hb⟩, hb,
sup_le := λ a b c h₁ h₂, Inf_le' ⟨h₁, h₂⟩,
inf := (⊓),
le_inf := λ a b c, subset_inter,
inf_le_left := λ a b, inter_subset_left _ _,
inf_le_right := λ a b, inter_subset_right _ _,
Sup := λtt, Inf {t | ∀t'∈tt, t' ≤ t},
le_Sup := λ s p hs, le_Inf' $ λ p' hp', hp' _ hs,
Sup_le := λ s p hs, Inf_le' hs,
Inf := Inf,
le_Inf := λ s a, le_Inf',
Inf_le := λ s a, Inf_le',
..submodule.order_top,
..submodule.order_bot }
instance add_comm_monoid_submodule : add_comm_monoid (submodule R M) :=
{ add := (⊔),
add_assoc := λ _ _ _, sup_assoc,
zero := ⊥,
zero_add := λ _, bot_sup_eq,
add_zero := λ _, sup_bot_eq,
add_comm := λ _ _, sup_comm }
@[simp] lemma add_eq_sup (p q : submodule R M) : p + q = p ⊔ q := rfl
@[simp] lemma zero_eq_bot : (0 : submodule R M) = ⊥ := rfl
lemma eq_top_iff' {p : submodule R M} : p = ⊤ ↔ ∀ x, x ∈ p :=
eq_top_iff.trans ⟨λ h x, @h x trivial, λ h x _, h x⟩
lemma bot_ne_top [nontrivial M] : (⊥ : submodule R M) ≠ ⊤ :=
λ h, let ⟨a, ha⟩ := exists_ne (0 : M) in ha $ (mem_bot R).1 $ (eq_top_iff.1 h) trivial
@[simp] theorem inf_coe : (p ⊓ p' : set M) = p ∩ p' := rfl
@[simp] theorem mem_inf {p p' : submodule R M} :
x ∈ p ⊓ p' ↔ x ∈ p ∧ x ∈ p' := iff.rfl
@[simp] theorem Inf_coe (P : set (submodule R M)) : (↑(Inf P) : set M) = ⋂ p ∈ P, ↑p := rfl
@[simp] theorem infi_coe {ι} (p : ι → submodule R M) :
(↑⨅ i, p i : set M) = ⋂ i, ↑(p i) :=
by rw [infi, Inf_coe]; ext a; simp; exact
⟨λ h i, h _ i rfl, λ h i x e, e ▸ h _⟩
@[simp] lemma mem_Inf {S : set (submodule R M)} {x : M} : x ∈ Inf S ↔ ∀ p ∈ S, x ∈ p :=
set.mem_bInter_iff
@[simp] theorem mem_infi {ι} (p : ι → submodule R M) :
x ∈ (⨅ i, p i) ↔ ∀ i, x ∈ p i :=
by rw [← mem_coe, infi_coe, mem_Inter]; refl
theorem disjoint_def {p p' : submodule R M} :
disjoint p p' ↔ ∀ x ∈ p, x ∈ p' → x = (0:M) :=
show (∀ x, x ∈ p ∧ x ∈ p' → x ∈ ({0} : set M)) ↔ _, by simp
theorem mem_right_iff_eq_zero_of_disjoint {p p' : submodule R M} (h : disjoint p p') {x : p} :
(x:M) ∈ p' ↔ x = 0 :=
⟨λ hx, coe_eq_zero.1 $ disjoint_def.1 h x x.2 hx, λ h, h.symm ▸ p'.zero_mem⟩
theorem mem_left_iff_eq_zero_of_disjoint {p p' : submodule R M} (h : disjoint p p') {x : p'} :
(x:M) ∈ p ↔ x = 0 :=
⟨λ hx, coe_eq_zero.1 $ disjoint_def.1 h x hx x.2, λ h, h.symm ▸ p.zero_mem⟩
/-- The pushforward of a submodule `p ⊆ M` by `f : M → M₂` -/
def map (f : M →ₗ[R] M₂) (p : submodule R M) : submodule R M₂ :=
{ carrier := f '' p,
smul_mem' := by rintro a _ ⟨b, hb, rfl⟩; exact ⟨_, p.smul_mem _ hb, f.map_smul _ _⟩,
.. p.to_add_submonoid.map f.to_add_monoid_hom }
@[simp] lemma map_coe (f : M →ₗ[R] M₂) (p : submodule R M) :
(map f p : set M₂) = f '' p := rfl
@[simp] lemma mem_map {f : M →ₗ[R] M₂} {p : submodule R M} {x : M₂} :
x ∈ map f p ↔ ∃ y, y ∈ p ∧ f y = x := iff.rfl
theorem mem_map_of_mem {f : M →ₗ[R] M₂} {p : submodule R M} {r} (h : r ∈ p) : f r ∈ map f p :=
set.mem_image_of_mem _ h
lemma map_id : map linear_map.id p = p :=
submodule.ext $ λ a, by simp
lemma map_comp (f : M →ₗ[R] M₂) (g : M₂ →ₗ[R] M₃) (p : submodule R M) :
map (g.comp f) p = map g (map f p) :=
submodule.coe_injective $ by simp [map_coe]; rw ← image_comp
lemma map_mono {f : M →ₗ[R] M₂} {p p' : submodule R M} : p ≤ p' → map f p ≤ map f p' :=
image_subset _
@[simp] lemma map_zero : map (0 : M →ₗ[R] M₂) p = ⊥ :=
have ∃ (x : M), x ∈ p := ⟨0, p.zero_mem⟩,
ext $ by simp [this, eq_comm]
/-- The pullback of a submodule `p ⊆ M₂` along `f : M → M₂` -/
def comap (f : M →ₗ[R] M₂) (p : submodule R M₂) : submodule R M :=
{ carrier := f ⁻¹' p,
smul_mem' := λ a x h, by simp [p.smul_mem _ h],
.. p.to_add_submonoid.comap f.to_add_monoid_hom }
@[simp] lemma comap_coe (f : M →ₗ[R] M₂) (p : submodule R M₂) :
(comap f p : set M) = f ⁻¹' p := rfl
@[simp] lemma mem_comap {f : M →ₗ[R] M₂} {p : submodule R M₂} :
x ∈ comap f p ↔ f x ∈ p := iff.rfl
lemma comap_id : comap linear_map.id p = p :=
submodule.coe_injective rfl
lemma comap_comp (f : M →ₗ[R] M₂) (g : M₂ →ₗ[R] M₃) (p : submodule R M₃) :
comap (g.comp f) p = comap f (comap g p) := rfl
lemma comap_mono {f : M →ₗ[R] M₂} {q q' : submodule R M₂} : q ≤ q' → comap f q ≤ comap f q' :=
preimage_mono
lemma map_le_iff_le_comap {f : M →ₗ[R] M₂} {p : submodule R M} {q : submodule R M₂} :
map f p ≤ q ↔ p ≤ comap f q := image_subset_iff
lemma gc_map_comap (f : M →ₗ[R] M₂) : galois_connection (map f) (comap f)
| p q := map_le_iff_le_comap
@[simp] lemma map_bot (f : M →ₗ[R] M₂) : map f ⊥ = ⊥ :=
(gc_map_comap f).l_bot
@[simp] lemma map_sup (f : M →ₗ[R] M₂) : map f (p ⊔ p') = map f p ⊔ map f p' :=
(gc_map_comap f).l_sup
@[simp] lemma map_supr {ι : Sort*} (f : M →ₗ[R] M₂) (p : ι → submodule R M) :
map f (⨆i, p i) = (⨆i, map f (p i)) :=
(gc_map_comap f).l_supr
@[simp] lemma comap_top (f : M →ₗ[R] M₂) : comap f ⊤ = ⊤ := rfl
@[simp] lemma comap_inf (f : M →ₗ[R] M₂) : comap f (q ⊓ q') = comap f q ⊓ comap f q' := rfl
@[simp] lemma comap_infi {ι : Sort*} (f : M →ₗ[R] M₂) (p : ι → submodule R M₂) :
comap f (⨅i, p i) = (⨅i, comap f (p i)) :=
(gc_map_comap f).u_infi
@[simp] lemma comap_zero : comap (0 : M →ₗ[R] M₂) q = ⊤ :=
ext $ by simp
lemma map_comap_le (f : M →ₗ[R] M₂) (q : submodule R M₂) : map f (comap f q) ≤ q :=
(gc_map_comap f).l_u_le _
lemma le_comap_map (f : M →ₗ[R] M₂) (p : submodule R M) : p ≤ comap f (map f p) :=
(gc_map_comap f).le_u_l _
--TODO(Mario): is there a way to prove this from order properties?
lemma map_inf_eq_map_inf_comap {f : M →ₗ[R] M₂}
{p : submodule R M} {p' : submodule R M₂} :
map f p ⊓ p' = map f (p ⊓ comap f p') :=
le_antisymm
(by rintro _ ⟨⟨x, h₁, rfl⟩, h₂⟩; exact ⟨_, ⟨h₁, h₂⟩, rfl⟩)
(le_inf (map_mono inf_le_left) (map_le_iff_le_comap.2 inf_le_right))
lemma map_comap_subtype : map p.subtype (comap p.subtype p') = p ⊓ p' :=
ext $ λ x, ⟨by rintro ⟨⟨_, h₁⟩, h₂, rfl⟩; exact ⟨h₁, h₂⟩, λ ⟨h₁, h₂⟩, ⟨⟨_, h₁⟩, h₂, rfl⟩⟩
lemma eq_zero_of_bot_submodule : ∀(b : (⊥ : submodule R M)), b = 0
| ⟨b', hb⟩ := subtype.eq $ show b' = 0, from (mem_bot R).1 hb
section
variables (R)
/-- The span of a set `s ⊆ M` is the smallest submodule of M that contains `s`. -/
def span (s : set M) : submodule R M := Inf {p | s ⊆ p}
end
variables {s t : set M}
lemma mem_span : x ∈ span R s ↔ ∀ p : submodule R M, s ⊆ p → x ∈ p :=
mem_bInter_iff
lemma subset_span : s ⊆ span R s :=
λ x h, mem_span.2 $ λ p hp, hp h
lemma span_le {p} : span R s ≤ p ↔ s ⊆ p :=
⟨subset.trans subset_span, λ ss x h, mem_span.1 h _ ss⟩
lemma span_mono (h : s ⊆ t) : span R s ≤ span R t :=
span_le.2 $ subset.trans h subset_span
lemma span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p :=
le_antisymm (span_le.2 h₁) h₂
@[simp] lemma span_eq : span R (p : set M) = p :=
span_eq_of_le _ (subset.refl _) subset_span
lemma map_span (f : M →ₗ[R] M₂) (s : set M) :
(span R s).map f = span R (f '' s) :=
eq.symm $ span_eq_of_le _ (set.image_subset f subset_span) $
map_le_iff_le_comap.2 $ span_le.2 $ λ x hx, subset_span ⟨x, hx, rfl⟩
/-- An induction principle for span membership. If `p` holds for 0 and all elements of `s`, and is
preserved under addition and scalar multiplication, then `p` holds for all elements of the span of
`s`. -/
@[elab_as_eliminator] lemma span_induction {p : M → Prop} (h : x ∈ span R s)
(Hs : ∀ x ∈ s, p x) (H0 : p 0)
(H1 : ∀ x y, p x → p y → p (x + y))
(H2 : ∀ (a:R) x, p x → p (a • x)) : p x :=
(@span_le _ _ _ _ _ _ ⟨p, H0, H1, H2⟩).2 Hs h
section
variables (R M)
/-- `span` forms a Galois insertion with the coercion from submodule to set. -/
protected def gi : galois_insertion (@span R M _ _ _) coe :=
{ choice := λ s _, span R s,
gc := λ s t, span_le,
le_l_u := λ s, subset_span,
choice_eq := λ s h, rfl }
end
@[simp] lemma span_empty : span R (∅ : set M) = ⊥ :=
(submodule.gi R M).gc.l_bot
@[simp] lemma span_univ : span R (univ : set M) = ⊤ :=
eq_top_iff.2 $ le_def.2 $ subset_span
lemma span_union (s t : set M) : span R (s ∪ t) = span R s ⊔ span R t :=
(submodule.gi R M).gc.l_sup
lemma span_Union {ι} (s : ι → set M) : span R (⋃ i, s i) = ⨆ i, span R (s i) :=
(submodule.gi R M).gc.l_supr
@[simp] theorem coe_supr_of_directed {ι} [hι : nonempty ι]
(S : ι → submodule R M) (H : directed (≤) S) :
((supr S : submodule R M) : set M) = ⋃ i, S i :=
begin
refine subset.antisymm _ (Union_subset $ le_supr S),
suffices : (span R (⋃ i, (S i : set M)) : set M) ⊆ ⋃ (i : ι), ↑(S i),
by simpa only [span_Union, span_eq] using this,
refine (λ x hx, span_induction hx (λ _, id) _ _ _);
simp only [mem_Union, exists_imp_distrib],
{ exact hι.elim (λ i, ⟨i, (S i).zero_mem⟩) },
{ intros x y i hi j hj,
rcases H i j with ⟨k, ik, jk⟩,
exact ⟨k, add_mem _ (ik hi) (jk hj)⟩ },
{ exact λ a x i hi, ⟨i, smul_mem _ a hi⟩ },
end
lemma mem_sup_left {S T : submodule R M} : ∀ {x : M}, x ∈ S → x ∈ S ⊔ T :=
show S ≤ S ⊔ T, from le_sup_left
lemma mem_sup_right {S T : submodule R M} : ∀ {x : M}, x ∈ T → x ∈ S ⊔ T :=
show T ≤ S ⊔ T, from le_sup_right
lemma mem_supr_of_mem {ι : Sort*} {b : M} {p : ι → submodule R M} (i : ι) (h : b ∈ p i) :
b ∈ (⨆i, p i) :=
have p i ≤ (⨆i, p i) := le_supr p i,
@this b h
lemma mem_Sup_of_mem {S : set (submodule R M)} {s : submodule R M}
(hs : s ∈ S) : ∀ {x : M}, x ∈ s → x ∈ Sup S :=
show s ≤ Sup S, from le_Sup hs
@[simp] theorem mem_supr_of_directed {ι} [nonempty ι]
(S : ι → submodule R M) (H : directed (≤) S) {x} :
x ∈ supr S ↔ ∃ i, x ∈ S i :=
by { rw [← mem_coe, coe_supr_of_directed S H, mem_Union], refl }
theorem mem_Sup_of_directed {s : set (submodule R M)}
{z} (hs : s.nonempty) (hdir : directed_on (≤) s) :
z ∈ Sup s ↔ ∃ y ∈ s, z ∈ y :=
begin
haveI : nonempty s := hs.to_subtype,
simp only [Sup_eq_supr', mem_supr_of_directed _ hdir.directed_coe, set_coe.exists, subtype.coe_mk]
end
section
variables {p p'}
lemma mem_sup : x ∈ p ⊔ p' ↔ ∃ (y ∈ p) (z ∈ p'), y + z = x :=
⟨λ h, begin
rw [← span_eq p, ← span_eq p', ← span_union] at h,
apply span_induction h,
{ rintro y (h | h),
{ exact ⟨y, h, 0, by simp, by simp⟩ },
{ exact ⟨0, by simp, y, h, by simp⟩ } },
{ exact ⟨0, by simp, 0, by simp⟩ },
{ rintro _ _ ⟨y₁, hy₁, z₁, hz₁, rfl⟩ ⟨y₂, hy₂, z₂, hz₂, rfl⟩,
exact ⟨_, add_mem _ hy₁ hy₂, _, add_mem _ hz₁ hz₂, by simp [add_assoc]; cc⟩ },
{ rintro a _ ⟨y, hy, z, hz, rfl⟩,
exact ⟨_, smul_mem _ a hy, _, smul_mem _ a hz, by simp [smul_add]⟩ }
end,
by rintro ⟨y, hy, z, hz, rfl⟩; exact add_mem _
((le_sup_left : p ≤ p ⊔ p') hy)
((le_sup_right : p' ≤ p ⊔ p') hz)⟩
lemma mem_sup' : x ∈ p ⊔ p' ↔ ∃ (y : p) (z : p'), (y:M) + z = x :=
mem_sup.trans $ by simp only [submodule.exists, coe_mk]
end
lemma mem_span_singleton_self (x : M) : x ∈ span R ({x} : set M) := subset_span rfl
lemma nontrivial_span_singleton {x : M} (h : x ≠ 0) : nontrivial (submodule.span R ({x} : set M)) :=
⟨begin
use [0, x, submodule.mem_span_singleton_self x],
intros H,
rw [eq_comm, submodule.mk_eq_zero] at H,
exact h H
end⟩
lemma mem_span_singleton {y : M} : x ∈ span R ({y} : set M) ↔ ∃ a:R, a • y = x :=
⟨λ h, begin
apply span_induction h,
{ rintro y (rfl|⟨⟨⟩⟩), exact ⟨1, by simp⟩ },
{ exact ⟨0, by simp⟩ },
{ rintro _ _ ⟨a, rfl⟩ ⟨b, rfl⟩,
exact ⟨a + b, by simp [add_smul]⟩ },
{ rintro a _ ⟨b, rfl⟩,
exact ⟨a * b, by simp [smul_smul]⟩ }
end,
by rintro ⟨a, y, rfl⟩; exact
smul_mem _ _ (subset_span $ by simp)⟩
lemma le_span_singleton_iff {s : submodule R M} {v₀ : M} :
s ≤ span R {v₀} ↔ ∀ v ∈ s, ∃ r : R, r • v₀ = v :=
by simp_rw [le_def', mem_span_singleton]
lemma span_singleton_eq_range (y : M) : (span R ({y} : set M) : set M) = range ((• y) : R → M) :=
set.ext $ λ x, mem_span_singleton
lemma span_singleton_smul_le (r : R) (x : M) : span R ({r • x} : set M) ≤ span R {x} :=
begin
rw [span_le, set.singleton_subset_iff, mem_coe],
exact smul_mem _ _ (mem_span_singleton_self _)
end
lemma span_singleton_smul_eq {K E : Type*} [division_ring K] [add_comm_group E] [module K E]
{r : K} (x : E) (hr : r ≠ 0) : span K ({r • x} : set E) = span K {x} :=
begin
refine le_antisymm (span_singleton_smul_le r x) _,
convert span_singleton_smul_le r⁻¹ (r • x),
exact (inv_smul_smul' hr _).symm
end
lemma disjoint_span_singleton {K E : Type*} [division_ring K] [add_comm_group E] [module K E]
{s : submodule K E} {x : E} :
disjoint s (span K {x}) ↔ (x ∈ s → x = 0) :=
begin
refine disjoint_def.trans ⟨λ H hx, H x hx $ subset_span $ mem_singleton x, _⟩,
assume H y hy hyx,
obtain ⟨c, hc⟩ := mem_span_singleton.1 hyx,
subst y,
classical, by_cases hc : c = 0, by simp only [hc, zero_smul],
rw [s.smul_mem_iff hc] at hy,
rw [H hy, smul_zero]
end
lemma mem_span_insert {y} : x ∈ span R (insert y s) ↔ ∃ (a:R) (z ∈ span R s), x = a • y + z :=
begin
simp only [← union_singleton, span_union, mem_sup, mem_span_singleton, exists_prop,
exists_exists_eq_and],
rw [exists_comm],
simp only [eq_comm, add_comm, exists_and_distrib_left]
end
lemma span_insert_eq_span (h : x ∈ span R s) : span R (insert x s) = span R s :=
span_eq_of_le _ (set.insert_subset.mpr ⟨h, subset_span⟩) (span_mono $ subset_insert _ _)
lemma span_span : span R (span R s : set M) = span R s := span_eq _
lemma span_eq_bot : span R (s : set M) = ⊥ ↔ ∀ x ∈ s, (x:M) = 0 :=
eq_bot_iff.trans ⟨
λ H x h, (mem_bot R).1 $ H $ subset_span h,
λ H, span_le.2 (λ x h, (mem_bot R).2 $ H x h)⟩
@[simp] lemma span_singleton_eq_bot : span R ({x} : set M) = ⊥ ↔ x = 0 :=
span_eq_bot.trans $ by simp
@[simp] lemma span_zero : span R (0 : set M) = ⊥ := by rw [←singleton_zero, span_singleton_eq_bot]
@[simp] lemma span_image (f : M →ₗ[R] M₂) : span R (f '' s) = map f (span R s) :=
span_eq_of_le _ (image_subset _ subset_span) $ map_le_iff_le_comap.2 $
span_le.2 $ image_subset_iff.1 subset_span
lemma linear_eq_on (s : set M) {f g : M →ₗ[R] M₂} (H : ∀x∈s, f x = g x) {x} (h : x ∈ span R s) :
f x = g x :=
by apply span_induction h H; simp {contextual := tt}
lemma linear_map.ext_on {v : ι → M} {f g : M →ₗ[R] M₂} (hv : span R (range v) = ⊤)
(h : ∀i, f (v i) = g (v i)) : f = g :=
begin
apply linear_map.ext (λ x, linear_eq_on (range v) _ (eq_top_iff'.1 hv _)),
exact (λ y hy, exists.elim (set.mem_range.1 hy) (λ i hi, by rw ←hi; exact h i))
end
lemma supr_eq_span {ι : Sort w} (p : ι → submodule R M) :
(⨆ (i : ι), p i) = submodule.span R (⋃ (i : ι), ↑(p i)) :=
le_antisymm
(supr_le $ assume i, subset.trans (assume m hm, set.mem_Union.mpr ⟨i, hm⟩) subset_span)
(span_le.mpr $ Union_subset_iff.mpr $ assume i m hm, mem_supr_of_mem i hm)
lemma span_singleton_le_iff_mem (m : M) (p : submodule R M) :
span R {m} ≤ p ↔ m ∈ p :=
by rw [span_le, singleton_subset_iff, mem_coe]
lemma lt_add_iff_not_mem {I : submodule R M} {a : M} : I < I + span R {a} ↔ a ∉ I :=
begin
split,
{ intro h,
by_contra akey,
have h1 : I + span R {a} ≤ I,
{ simp only [add_eq_sup, sup_le_iff],
split,
{ exact le_refl I, },
{ exact (span_singleton_le_iff_mem a I).mpr akey, } },
have h2 := gt_of_ge_of_gt h1 h,
exact lt_irrefl I h2, },
{ intro h,
apply lt_iff_le_and_exists.mpr, split,
simp only [add_eq_sup, le_sup_left],
use a,
split, swap, { assumption, },
{ have : span R {a} ≤ I + span R{a} := le_sup_right,
exact this (mem_span_singleton_self a), } },
end
lemma mem_supr {ι : Sort w} (p : ι → submodule R M) {m : M} :
(m ∈ ⨆ i, p i) ↔ (∀ N, (∀ i, p i ≤ N) → m ∈ N) :=
begin
rw [← span_singleton_le_iff_mem, le_supr_iff],
simp only [span_singleton_le_iff_mem],
end
/-- The product of two submodules is a submodule. -/
def prod : submodule R (M × M₂) :=
{ carrier := set.prod p q,
smul_mem' := by rintro a ⟨x, y⟩ ⟨hx, hy⟩; exact ⟨smul_mem _ a hx, smul_mem _ a hy⟩,
.. p.to_add_submonoid.prod q.to_add_submonoid }
@[simp] lemma prod_coe :
(prod p q : set (M × M₂)) = set.prod p q := rfl
@[simp] lemma mem_prod {p : submodule R M} {q : submodule R M₂} {x : M × M₂} :
x ∈ prod p q ↔ x.1 ∈ p ∧ x.2 ∈ q := set.mem_prod
lemma span_prod_le (s : set M) (t : set M₂) :
span R (set.prod s t) ≤ prod (span R s) (span R t) :=
span_le.2 $ set.prod_mono subset_span subset_span
@[simp] lemma prod_top : (prod ⊤ ⊤ : submodule R (M × M₂)) = ⊤ :=
by ext; simp
@[simp] lemma prod_bot : (prod ⊥ ⊥ : submodule R (M × M₂)) = ⊥ :=
by ext ⟨x, y⟩; simp [prod.zero_eq_mk]
lemma prod_mono {p p' : submodule R M} {q q' : submodule R M₂} :
p ≤ p' → q ≤ q' → prod p q ≤ prod p' q' := prod_mono
@[simp] lemma prod_inf_prod : prod p q ⊓ prod p' q' = prod (p ⊓ p') (q ⊓ q') :=
coe_injective set.prod_inter_prod
@[simp] lemma prod_sup_prod : prod p q ⊔ prod p' q' = prod (p ⊔ p') (q ⊔ q') :=
begin
refine le_antisymm (sup_le
(prod_mono le_sup_left le_sup_left)
(prod_mono le_sup_right le_sup_right)) _,
simp [le_def'], intros xx yy hxx hyy,
rcases mem_sup.1 hxx with ⟨x, hx, x', hx', rfl⟩,
rcases mem_sup.1 hyy with ⟨y, hy, y', hy', rfl⟩,
refine mem_sup.2 ⟨(x, y), ⟨hx, hy⟩, (x', y'), ⟨hx', hy'⟩, rfl⟩
end
end add_comm_monoid
variables [ring R] [add_comm_group M] [add_comm_group M₂] [add_comm_group M₃]
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃]
variables (p p' : submodule R M) (q q' : submodule R M₂)
variables {r : R} {x y : M}
open set
lemma mem_span_insert' {y} {s : set M} : x ∈ span R (insert y s) ↔ ∃(a:R), x + a • y ∈ span R s :=
begin
rw mem_span_insert, split,
{ rintro ⟨a, z, hz, rfl⟩, exact ⟨-a, by simp [hz, add_assoc]⟩ },
{ rintro ⟨a, h⟩, exact ⟨-a, _, h, by simp [add_comm, add_left_comm]⟩ }
end
-- TODO(Mario): Factor through add_subgroup
/-- The equivalence relation associated to a submodule `p`, defined by `x ≈ y` iff `y - x ∈ p`. -/
def quotient_rel : setoid M :=
⟨λ x y, x - y ∈ p, λ x, by simp,
λ x y h, by simpa using neg_mem _ h,
λ x y z h₁ h₂, by simpa [sub_eq_add_neg, add_left_comm, add_assoc] using add_mem _ h₁ h₂⟩
/-- The quotient of a module `M` by a submodule `p ⊆ M`. -/
def quotient : Type* := quotient (quotient_rel p)
namespace quotient
/-- Map associating to an element of `M` the corresponding element of `M/p`,
when `p` is a submodule of `M`. -/
def mk {p : submodule R M} : M → quotient p := quotient.mk'
@[simp] theorem mk_eq_mk {p : submodule R M} (x : M) : (quotient.mk x : quotient p) = mk x := rfl
@[simp] theorem mk'_eq_mk {p : submodule R M} (x : M) : (quotient.mk' x : quotient p) = mk x := rfl
@[simp] theorem quot_mk_eq_mk {p : submodule R M} (x : M) : (quot.mk _ x : quotient p) = mk x := rfl
protected theorem eq {x y : M} : (mk x : quotient p) = mk y ↔ x - y ∈ p := quotient.eq'
instance : has_zero (quotient p) := ⟨mk 0⟩
instance : inhabited (quotient p) := ⟨0⟩
@[simp] theorem mk_zero : mk 0 = (0 : quotient p) := rfl
@[simp] theorem mk_eq_zero : (mk x : quotient p) = 0 ↔ x ∈ p :=
by simpa using (quotient.eq p : mk x = 0 ↔ _)
instance : has_add (quotient p) :=
⟨λ a b, quotient.lift_on₂' a b (λ a b, mk (a + b)) $
λ a₁ a₂ b₁ b₂ h₁ h₂, (quotient.eq p).2 $
by simpa [sub_eq_add_neg, add_left_comm, add_comm] using add_mem p h₁ h₂⟩
@[simp] theorem mk_add : (mk (x + y) : quotient p) = mk x + mk y := rfl
instance : has_neg (quotient p) :=
⟨λ a, quotient.lift_on' a (λ a, mk (-a)) $
λ a b h, (quotient.eq p).2 $ by simpa using neg_mem p h⟩
@[simp] theorem mk_neg : (mk (-x) : quotient p) = -mk x := rfl
instance : add_comm_group (quotient p) :=
by refine {zero := 0, add := (+), neg := has_neg.neg, ..};
repeat {rintro ⟨⟩};
simp [-mk_zero, (mk_zero p).symm, -mk_add, (mk_add p).symm, -mk_neg, (mk_neg p).symm]; cc
instance : has_scalar R (quotient p) :=
⟨λ a x, quotient.lift_on' x (λ x, mk (a • x)) $
λ x y h, (quotient.eq p).2 $ by simpa [smul_sub] using smul_mem p a h⟩
@[simp] theorem mk_smul : (mk (r • x) : quotient p) = r • mk x := rfl
instance : semimodule R (quotient p) :=
semimodule.of_core $ by refine {smul := (•), ..};
repeat {rintro ⟨⟩ <|> intro}; simp [smul_add, add_smul, smul_smul,
-mk_add, (mk_add p).symm, -mk_smul, (mk_smul p).symm]
lemma mk_surjective : function.surjective (@mk _ _ _ _ _ p) :=
by { rintros ⟨x⟩, exact ⟨x, rfl⟩ }
lemma nontrivial_of_lt_top (h : p < ⊤) : nontrivial (p.quotient) :=
begin
obtain ⟨x, _, not_mem_s⟩ := exists_of_lt h,
refine ⟨⟨mk x, 0, _⟩⟩,
simpa using not_mem_s
end
end quotient
lemma quot_hom_ext ⦃f g : quotient p →ₗ[R] M₂⦄ (h : ∀ x, f (quotient.mk x) = g (quotient.mk x)) :
f = g :=
linear_map.ext $ λ x, quotient.induction_on' x h
end submodule
namespace submodule
variables [field K]
variables [add_comm_group V] [vector_space K V]
variables [add_comm_group V₂] [vector_space K V₂]
lemma comap_smul (f : V →ₗ[K] V₂) (p : submodule K V₂) (a : K) (h : a ≠ 0) :
p.comap (a • f) = p.comap f :=
by ext b; simp only [submodule.mem_comap, p.smul_mem_iff h, linear_map.smul_apply]
lemma map_smul (f : V →ₗ[K] V₂) (p : submodule K V) (a : K) (h : a ≠ 0) :
p.map (a • f) = p.map f :=
le_antisymm
begin rw [map_le_iff_le_comap, comap_smul f _ a h, ← map_le_iff_le_comap], exact le_refl _ end
begin rw [map_le_iff_le_comap, ← comap_smul f _ a h, ← map_le_iff_le_comap], exact le_refl _ end
lemma comap_smul' (f : V →ₗ[K] V₂) (p : submodule K V₂) (a : K) :
p.comap (a • f) = (⨅ h : a ≠ 0, p.comap f) :=
by classical; by_cases a = 0; simp [h, comap_smul]
lemma map_smul' (f : V →ₗ[K] V₂) (p : submodule K V) (a : K) :
p.map (a • f) = (⨆ h : a ≠ 0, p.map f) :=
by classical; by_cases a = 0; simp [h, map_smul]
end submodule
/-! ### Properties of linear maps -/
namespace linear_map
section add_comm_monoid
variables [semiring R] [add_comm_monoid M] [add_comm_monoid M₂] [add_comm_monoid M₃]
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃]
include R
open submodule
@[simp] lemma finsupp_sum {γ} [has_zero γ]
(f : M →ₗ[R] M₂) {t : ι →₀ γ} {g : ι → γ → M} :
f (t.sum g) = t.sum (λi d, f (g i d)) := f.map_sum
theorem map_cod_restrict (p : submodule R M) (f : M₂ →ₗ[R] M) (h p') :
submodule.map (cod_restrict p f h) p' = comap p.subtype (p'.map f) :=
submodule.ext $ λ ⟨x, hx⟩, by simp [subtype.ext_iff_val]
theorem comap_cod_restrict (p : submodule R M) (f : M₂ →ₗ[R] M) (hf p') :
submodule.comap (cod_restrict p f hf) p' = submodule.comap f (map p.subtype p') :=
submodule.ext $ λ x, ⟨λ h, ⟨⟨_, hf x⟩, h, rfl⟩, by rintro ⟨⟨_, _⟩, h, ⟨⟩⟩; exact h⟩
/-- The range of a linear map `f : M → M₂` is a submodule of `M₂`. -/
def range (f : M →ₗ[R] M₂) : submodule R M₂ := map f ⊤
theorem range_coe (f : M →ₗ[R] M₂) : (range f : set M₂) = set.range f := set.image_univ
@[simp] theorem mem_range {f : M →ₗ[R] M₂} : ∀ {x}, x ∈ range f ↔ ∃ y, f y = x :=
set.ext_iff.1 (range_coe f)
theorem mem_range_self (f : M →ₗ[R] M₂) (x : M) : f x ∈ f.range := mem_range.2 ⟨x, rfl⟩
@[simp] theorem range_id : range (linear_map.id : M →ₗ[R] M) = ⊤ := map_id _
theorem range_comp (f : M →ₗ[R] M₂) (g : M₂ →ₗ[R] M₃) : range (g.comp f) = map g (range f) :=
map_comp _ _ _
theorem range_comp_le_range (f : M →ₗ[R] M₂) (g : M₂ →ₗ[R] M₃) : range (g.comp f) ≤ range g :=
by rw range_comp; exact map_mono le_top
theorem range_eq_top {f : M →ₗ[R] M₂} : range f = ⊤ ↔ surjective f :=
by rw [submodule.ext'_iff, range_coe, top_coe, set.range_iff_surjective]
lemma range_le_iff_comap {f : M →ₗ[R] M₂} {p : submodule R M₂} : range f ≤ p ↔ comap f p = ⊤ :=
by rw [range, map_le_iff_le_comap, eq_top_iff]
lemma map_le_range {f : M →ₗ[R] M₂} {p : submodule R M} : map f p ≤ range f :=
map_mono le_top
lemma range_coprod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) :
(f.coprod g).range = f.range ⊔ g.range :=
submodule.ext $ λ x, by simp [mem_sup]
lemma sup_range_inl_inr :
(inl R M M₂).range ⊔ (inr R M M₂).range = ⊤ :=
begin
refine eq_top_iff'.2 (λ x, mem_sup.2 _),
rcases x with ⟨x₁, x₂⟩ ,
have h₁ : prod.mk x₁ (0 : M₂) ∈ (inl R M M₂).range,
by simp,
have h₂ : prod.mk (0 : M) x₂ ∈ (inr R M M₂).range,
by simp,
use [⟨x₁, 0⟩, h₁, ⟨0, x₂⟩, h₂],
simp
end
/-- Restrict the codomain of a linear map `f` to `f.range`. -/
@[reducible] def range_restrict (f : M →ₗ[R] M₂) : M →ₗ[R] f.range :=
f.cod_restrict f.range f.mem_range_self
section
variables (R) (M)
/-- Given an element `x` of a module `M` over `R`, the natural map from
`R` to scalar multiples of `x`.-/
def to_span_singleton (x : M) : R →ₗ[R] M := linear_map.id.smul_right x
/-- The range of `to_span_singleton x` is the span of `x`.-/
lemma span_singleton_eq_range (x : M) : span R {x} = (to_span_singleton R M x).range :=
submodule.ext $ λ y, by {refine iff.trans _ mem_range.symm, exact mem_span_singleton }
lemma to_span_singleton_one (x : M) : to_span_singleton R M x 1 = x := one_smul _ _
end
/-- The kernel of a linear map `f : M → M₂` is defined to be `comap f ⊥`. This is equivalent to the
set of `x : M` such that `f x = 0`. The kernel is a submodule of `M`. -/
def ker (f : M →ₗ[R] M₂) : submodule R M := comap f ⊥
@[simp] theorem mem_ker {f : M →ₗ[R] M₂} {y} : y ∈ ker f ↔ f y = 0 := mem_bot R
@[simp] theorem ker_id : ker (linear_map.id : M →ₗ[R] M) = ⊥ := rfl
@[simp] theorem map_coe_ker (f : M →ₗ[R] M₂) (x : ker f) : f x = 0 := mem_ker.1 x.2
lemma comp_ker_subtype (f : M →ₗ[R] M₂) : f.comp f.ker.subtype = 0 :=
linear_map.ext $ λ x, suffices f x = 0, by simp [this], mem_ker.1 x.2
theorem ker_comp (f : M →ₗ[R] M₂) (g : M₂ →ₗ[R] M₃) : ker (g.comp f) = comap f (ker g) := rfl
theorem ker_le_ker_comp (f : M →ₗ[R] M₂) (g : M₂ →ₗ[R] M₃) : ker f ≤ ker (g.comp f) :=
by rw ker_comp; exact comap_mono bot_le
theorem disjoint_ker {f : M →ₗ[R] M₂} {p : submodule R M} :
disjoint p (ker f) ↔ ∀ x ∈ p, f x = 0 → x = 0 :=
by simp [disjoint_def]
lemma disjoint_inl_inr : disjoint (inl R M M₂).range (inr R M M₂).range :=
by simp [disjoint_def, @eq_comm M 0, @eq_comm M₂ 0] {contextual := tt}; intros; refl
theorem ker_eq_bot' {f : M →ₗ[R] M₂} :
ker f = ⊥ ↔ (∀ m, f m = 0 → m = 0) :=
have h : (∀ m ∈ (⊤ : submodule R M), f m = 0 → m = 0) ↔ (∀ m, f m = 0 → m = 0),
from ⟨λ h m, h m mem_top, λ h m _, h m⟩,
by simpa [h, disjoint] using @disjoint_ker _ _ _ _ _ _ _ _ f ⊤
lemma le_ker_iff_map {f : M →ₗ[R] M₂} {p : submodule R M} : p ≤ ker f ↔ map f p = ⊥ :=
by rw [ker, eq_bot_iff, map_le_iff_le_comap]
lemma ker_cod_restrict (p : submodule R M) (f : M₂ →ₗ[R] M) (hf) :
ker (cod_restrict p f hf) = ker f :=
by rw [ker, comap_cod_restrict, map_bot]; refl
lemma range_cod_restrict (p : submodule R M) (f : M₂ →ₗ[R] M) (hf) :
range (cod_restrict p f hf) = comap p.subtype f.range :=
map_cod_restrict _ _ _ _
lemma ker_restrict {p : submodule R M} {f : M →ₗ[R] M} (hf : ∀ x : M, x ∈ p → f x ∈ p) :
ker (f.restrict hf) = (f.dom_restrict p).ker :=
by rw [restrict_eq_cod_restrict_dom_restrict, ker_cod_restrict]
lemma map_comap_eq (f : M →ₗ[R] M₂) (q : submodule R M₂) :
map f (comap f q) = range f ⊓ q :=
le_antisymm (le_inf (map_mono le_top) (map_comap_le _ _)) $
by rintro _ ⟨⟨x, _, rfl⟩, hx⟩; exact ⟨x, hx, rfl⟩
lemma map_comap_eq_self {f : M →ₗ[R] M₂} {q : submodule R M₂} (h : q ≤ range f) :
map f (comap f q) = q :=
by rwa [map_comap_eq, inf_eq_right]
@[simp] theorem ker_zero : ker (0 : M →ₗ[R] M₂) = ⊤ :=
eq_top_iff'.2 $ λ x, by simp
@[simp] theorem range_zero : range (0 : M →ₗ[R] M₂) = ⊥ :=
submodule.map_zero _
theorem ker_eq_top {f : M →ₗ[R] M₂} : ker f = ⊤ ↔ f = 0 :=
⟨λ h, ext $ λ x, mem_ker.1 $ h.symm ▸ trivial, λ h, h.symm ▸ ker_zero⟩
lemma range_le_bot_iff (f : M →ₗ[R] M₂) : range f ≤ ⊥ ↔ f = 0 :=
by rw [range_le_iff_comap]; exact ker_eq_top
lemma range_le_ker_iff {f : M →ₗ[R] M₂} {g : M₂ →ₗ[R] M₃} : range f ≤ ker g ↔ g.comp f = 0 :=
⟨λ h, ker_eq_top.1 $ eq_top_iff'.2 $ λ x, h $ mem_map_of_mem trivial,
λ h x hx, mem_ker.2 $ exists.elim hx $ λ y ⟨_, hy⟩, by rw [←hy, ←comp_apply, h, zero_apply]⟩
theorem comap_le_comap_iff {f : M →ₗ[R] M₂} (hf : range f = ⊤) {p p'} :
comap f p ≤ comap f p' ↔ p ≤ p' :=
⟨λ H x hx, by rcases range_eq_top.1 hf x with ⟨y, hy, rfl⟩; exact H hx, comap_mono⟩
theorem comap_injective {f : M →ₗ[R] M₂} (hf : range f = ⊤) : injective (comap f) :=
λ p p' h, le_antisymm ((comap_le_comap_iff hf).1 (le_of_eq h))
((comap_le_comap_iff hf).1 (ge_of_eq h))
theorem map_coprod_prod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃)
(p : submodule R M) (q : submodule R M₂) :
map (coprod f g) (p.prod q) = map f p ⊔ map g q :=
begin
refine le_antisymm _ (sup_le (map_le_iff_le_comap.2 _) (map_le_iff_le_comap.2 _)),
{ rw le_def', rintro _ ⟨x, ⟨h₁, h₂⟩, rfl⟩,
exact mem_sup.2 ⟨_, ⟨_, h₁, rfl⟩, _, ⟨_, h₂, rfl⟩, rfl⟩ },
{ exact λ x hx, ⟨(x, 0), by simp [hx]⟩ },
{ exact λ x hx, ⟨(0, x), by simp [hx]⟩ }
end
theorem comap_prod_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃)
(p : submodule R M₂) (q : submodule R M₃) :
comap (prod f g) (p.prod q) = comap f p ⊓ comap g q :=
submodule.ext $ λ x, iff.rfl
theorem prod_eq_inf_comap (p : submodule R M) (q : submodule R M₂) :
p.prod q = p.comap (linear_map.fst R M M₂) ⊓ q.comap (linear_map.snd R M M₂) :=
submodule.ext $ λ x, iff.rfl
theorem prod_eq_sup_map (p : submodule R M) (q : submodule R M₂) :
p.prod q = p.map (linear_map.inl R M M₂) ⊔ q.map (linear_map.inr R M M₂) :=
by rw [← map_coprod_prod, coprod_inl_inr, map_id]
lemma span_inl_union_inr {s : set M} {t : set M₂} :
span R (inl R M M₂ '' s ∪ inr R M M₂ '' t) = (span R s).prod (span R t) :=
by rw [span_union, prod_eq_sup_map, ← span_image, ← span_image]; refl
@[simp] lemma ker_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) :
ker (prod f g) = ker f ⊓ ker g :=
by rw [ker, ← prod_bot, comap_prod_prod]; refl
lemma range_prod_le (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) :
range (prod f g) ≤ (range f).prod (range g) :=
begin
simp only [le_def', prod_apply, mem_range, mem_coe, mem_prod, exists_imp_distrib],
rintro _ x rfl,
exact ⟨⟨x, rfl⟩, ⟨x, rfl⟩⟩
end
theorem ker_eq_bot_of_injective {f : M →ₗ[R] M₂} (hf : injective f) : ker f = ⊥ :=
begin
have : disjoint ⊤ f.ker, by { rw [disjoint_ker, ← map_zero f], exact λ x hx H, hf H },
simpa [disjoint]
end
end add_comm_monoid
section add_comm_group
variables [semiring R] [add_comm_group M] [add_comm_group M₂] [add_comm_group M₃]
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃]
include R
open submodule
lemma comap_map_eq (f : M →ₗ[R] M₂) (p : submodule R M) :
comap f (map f p) = p ⊔ ker f :=
begin
refine le_antisymm _ (sup_le (le_comap_map _ _) (comap_mono bot_le)),
rintro x ⟨y, hy, e⟩,
exact mem_sup.2 ⟨y, hy, x - y, by simpa using sub_eq_zero.2 e.symm, by simp⟩
end
lemma comap_map_eq_self {f : M →ₗ[R] M₂} {p : submodule R M} (h : ker f ≤ p) :
comap f (map f p) = p :=
by rw [comap_map_eq, sup_of_le_left h]
theorem map_le_map_iff (f : M →ₗ[R] M₂) {p p'} : map f p ≤ map f p' ↔ p ≤ p' ⊔ ker f :=
by rw [map_le_iff_le_comap, comap_map_eq]
theorem map_le_map_iff' {f : M →ₗ[R] M₂} (hf : ker f = ⊥) {p p'} : map f p ≤ map f p' ↔ p ≤ p' :=
by rw [map_le_map_iff, hf, sup_bot_eq]
theorem map_injective {f : M →ₗ[R] M₂} (hf : ker f = ⊥) : injective (map f) :=
λ p p' h, le_antisymm ((map_le_map_iff' hf).1 (le_of_eq h)) ((map_le_map_iff' hf).1 (ge_of_eq h))
theorem map_eq_top_iff {f : M →ₗ[R] M₂} (hf : range f = ⊤) {p : submodule R M} :
p.map f = ⊤ ↔ p ⊔ f.ker = ⊤ :=
by simp_rw [← top_le_iff, ← hf, range, map_le_map_iff]
end add_comm_group
section ring
variables [ring R] [add_comm_group M] [add_comm_group M₂] [add_comm_group M₃]
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃]
include R
open submodule
theorem sub_mem_ker_iff {f : M →ₗ[R] M₂} {x y} : x - y ∈ f.ker ↔ f x = f y :=
by rw [mem_ker, map_sub, sub_eq_zero]
theorem disjoint_ker' {f : M →ₗ[R] M₂} {p : submodule R M} :
disjoint p (ker f) ↔ ∀ x y ∈ p, f x = f y → x = y :=
disjoint_ker.trans
⟨λ H x y hx hy h, eq_of_sub_eq_zero $ H _ (sub_mem _ hx hy) (by simp [h]),
λ H x h₁ h₂, H x 0 h₁ (zero_mem _) (by simpa using h₂)⟩
theorem inj_of_disjoint_ker {f : M →ₗ[R] M₂} {p : submodule R M}
{s : set M} (h : s ⊆ p) (hd : disjoint p (ker f)) :
∀ x y ∈ s, f x = f y → x = y :=
λ x y hx hy, disjoint_ker'.1 hd _ _ (h hx) (h hy)
theorem ker_eq_bot {f : M →ₗ[R] M₂} : ker f = ⊥ ↔ injective f :=
by simpa [disjoint] using @disjoint_ker' _ _ _ _ _ _ _ _ f ⊤
/-- If the union of the kernels `ker f` and `ker g` spans the domain, then the range of
`prod f g` is equal to the product of `range f` and `range g`. -/
lemma range_prod_eq {f : M →ₗ[R] M₂} {g : M →ₗ[R] M₃} (h : ker f ⊔ ker g = ⊤) :
range (prod f g) = (range f).prod (range g) :=
begin
refine le_antisymm (f.range_prod_le g) _,
simp only [le_def', prod_apply, mem_range, mem_coe, mem_prod, exists_imp_distrib, and_imp,
prod.forall],
rintros _ _ x rfl y rfl,
simp only [prod.mk.inj_iff, ← sub_mem_ker_iff],
have : y - x ∈ ker f ⊔ ker g, { simp only [h, mem_top] },
rcases mem_sup.1 this with ⟨x', hx', y', hy', H⟩,
refine ⟨x' + x, _, _⟩,
{ rwa add_sub_cancel },
{ rwa [← eq_sub_iff_add_eq.1 H, add_sub_add_right_eq_sub, ← neg_mem_iff, neg_sub,
add_sub_cancel'] }
end
end ring
section field
variables [field K]
variables [add_comm_group V] [vector_space K V]
variables [add_comm_group V₂] [vector_space K V₂]
lemma ker_smul (f : V →ₗ[K] V₂) (a : K) (h : a ≠ 0) : ker (a • f) = ker f :=
submodule.comap_smul f _ a h
lemma ker_smul' (f : V →ₗ[K] V₂) (a : K) : ker (a • f) = ⨅(h : a ≠ 0), ker f :=
submodule.comap_smul' f _ a
lemma range_smul (f : V →ₗ[K] V₂) (a : K) (h : a ≠ 0) : range (a • f) = range f :=
submodule.map_smul f _ a h
lemma range_smul' (f : V →ₗ[K] V₂) (a : K) : range (a • f) = ⨆(h : a ≠ 0), range f :=
submodule.map_smul' f _ a
end field
end linear_map
lemma submodule.sup_eq_range [semiring R] [add_comm_monoid M] [semimodule R M] (p q : submodule R M) :
p ⊔ q = (p.subtype.coprod q.subtype).range :=
submodule.ext $ λ x, by simp [submodule.mem_sup, submodule.exists]
namespace is_linear_map
lemma is_linear_map_add [semiring R] [add_comm_monoid M] [semimodule R M] :
is_linear_map R (λ (x : M × M), x.1 + x.2) :=
begin
apply is_linear_map.mk,
{ intros x y,
simp, cc },
{ intros x y,
simp [smul_add] }
end
lemma is_linear_map_sub {R M : Type*} [semiring R] [add_comm_group M] [semimodule R M]:
is_linear_map R (λ (x : M × M), x.1 - x.2) :=
begin
apply is_linear_map.mk,
{ intros x y,
simp [add_comm, add_left_comm, sub_eq_add_neg] },
{ intros x y,
simp [smul_sub] }
end
end is_linear_map
namespace submodule
section add_comm_monoid
variables {T : semiring R} [add_comm_monoid M] [add_comm_monoid M₂] [semimodule R M] [semimodule R M₂]
variables (p p' : submodule R M) (q : submodule R M₂)
include T
open linear_map
@[simp] theorem map_top (f : M →ₗ[R] M₂) : map f ⊤ = range f := rfl
@[simp] theorem comap_bot (f : M →ₗ[R] M₂) : comap f ⊥ = ker f := rfl
@[simp] theorem ker_subtype : p.subtype.ker = ⊥ :=
ker_eq_bot_of_injective $ λ x y, subtype.ext_val
@[simp] theorem range_subtype : p.subtype.range = p :=
by simpa using map_comap_subtype p ⊤
lemma map_subtype_le (p' : submodule R p) : map p.subtype p' ≤ p :=
by simpa using (map_mono le_top : map p.subtype p' ≤ p.subtype.range)
/-- Under the canonical linear map from a submodule `p` to the ambient space `M`, the image of the
maximal submodule of `p` is just `p `. -/
@[simp] lemma map_subtype_top : map p.subtype (⊤ : submodule R p) = p :=
by simp
@[simp] lemma comap_subtype_eq_top {p p' : submodule R M} :
comap p.subtype p' = ⊤ ↔ p ≤ p' :=
eq_top_iff.trans $ map_le_iff_le_comap.symm.trans $ by rw [map_subtype_top]
@[simp] lemma comap_subtype_self : comap p.subtype p = ⊤ :=
comap_subtype_eq_top.2 (le_refl _)
@[simp] theorem ker_of_le (p p' : submodule R M) (h : p ≤ p') : (of_le h).ker = ⊥ :=
by rw [of_le, ker_cod_restrict, ker_subtype]
lemma range_of_le (p q : submodule R M) (h : p ≤ q) : (of_le h).range = comap q.subtype p :=
by rw [← map_top, of_le, linear_map.map_cod_restrict, map_top, range_subtype]
@[simp] theorem map_inl : p.map (inl R M M₂) = prod p ⊥ :=
by { ext ⟨x, y⟩, simp only [and.left_comm, eq_comm, mem_map, prod.mk.inj_iff, inl_apply, mem_bot,
exists_eq_left', mem_prod] }
@[simp] theorem map_inr : q.map (inr R M M₂) = prod ⊥ q :=
by ext ⟨x, y⟩; simp [and.left_comm, eq_comm]
@[simp] theorem comap_fst : p.comap (fst R M M₂) = prod p ⊤ :=
by ext ⟨x, y⟩; simp
@[simp] theorem comap_snd : q.comap (snd R M M₂) = prod ⊤ q :=
by ext ⟨x, y⟩; simp
@[simp] theorem prod_comap_inl : (prod p q).comap (inl R M M₂) = p := by ext; simp
@[simp] theorem prod_comap_inr : (prod p q).comap (inr R M M₂) = q := by ext; simp
@[simp] theorem prod_map_fst : (prod p q).map (fst R M M₂) = p :=
by ext x; simp [(⟨0, zero_mem _⟩ : ∃ x, x ∈ q)]
@[simp] theorem prod_map_snd : (prod p q).map (snd R M M₂) = q :=
by ext x; simp [(⟨0, zero_mem _⟩ : ∃ x, x ∈ p)]
@[simp] theorem ker_inl : (inl R M M₂).ker = ⊥ :=
by rw [ker, ← prod_bot, prod_comap_inl]
@[simp] theorem ker_inr : (inr R M M₂).ker = ⊥ :=
by rw [ker, ← prod_bot, prod_comap_inr]
@[simp] theorem range_fst : (fst R M M₂).range = ⊤ :=
by rw [range, ← prod_top, prod_map_fst]
@[simp] theorem range_snd : (snd R M M₂).range = ⊤ :=
by rw [range, ← prod_top, prod_map_snd]
end add_comm_monoid
section ring
variables {T : ring R} [add_comm_group M] [add_comm_group M₂] [semimodule R M] [semimodule R M₂]
variables (p p' : submodule R M) (q : submodule R M₂)
include T
open linear_map
lemma disjoint_iff_comap_eq_bot {p q : submodule R M} :
disjoint p q ↔ comap p.subtype q = ⊥ :=
by rw [eq_bot_iff, ← map_le_map_iff' p.ker_subtype, map_bot, map_comap_subtype, disjoint]
/-- If `N ⊆ M` then submodules of `N` are the same as submodules of `M` contained in `N` -/
def map_subtype.rel_iso :
submodule R p ≃o {p' : submodule R M // p' ≤ p} :=
{ to_fun := λ p', ⟨map p.subtype p', map_subtype_le p _⟩,
inv_fun := λ q, comap p.subtype q,
left_inv := λ p', comap_map_eq_self $ by simp,
right_inv := λ ⟨q, hq⟩, subtype.ext_val $ by simp [map_comap_subtype p, inf_of_le_right hq],
map_rel_iff' := λ p₁ p₂, (map_le_map_iff' (ker_subtype p)).symm }
/-- If `p ⊆ M` is a submodule, the ordering of submodules of `p` is embedded in the ordering of
submodules of `M`. -/
def map_subtype.order_embedding :
submodule R p ↪o submodule R M :=
(rel_iso.to_rel_embedding $ map_subtype.rel_iso p).trans (subtype.rel_embedding _ _)
@[simp] lemma map_subtype_embedding_eq (p' : submodule R p) :
map_subtype.order_embedding p p' = map p.subtype p' := rfl
/-- The map from a module `M` to the quotient of `M` by a submodule `p` as a linear map. -/
def mkq : M →ₗ[R] p.quotient := ⟨quotient.mk, by simp, by simp⟩
@[simp] theorem mkq_apply (x : M) : p.mkq x = quotient.mk x := rfl
/-- The map from the quotient of `M` by a submodule `p` to `M₂` induced by a linear map `f : M → M₂`
vanishing on `p`, as a linear map. -/
def liftq (f : M →ₗ[R] M₂) (h : p ≤ f.ker) : p.quotient →ₗ[R] M₂ :=
⟨λ x, _root_.quotient.lift_on' x f $
λ a b (ab : a - b ∈ p), eq_of_sub_eq_zero $ by simpa using h ab,
by rintro ⟨x⟩ ⟨y⟩; exact f.map_add x y,
by rintro a ⟨x⟩; exact f.map_smul a x⟩
@[simp] theorem liftq_apply (f : M →ₗ[R] M₂) {h} (x : M) :
p.liftq f h (quotient.mk x) = f x := rfl
@[simp] theorem liftq_mkq (f : M →ₗ[R] M₂) (h) : (p.liftq f h).comp p.mkq = f :=
by ext; refl
@[simp] theorem range_mkq : p.mkq.range = ⊤ :=
eq_top_iff'.2 $ by rintro ⟨x⟩; exact ⟨x, trivial, rfl⟩
@[simp] theorem ker_mkq : p.mkq.ker = p :=
by ext; simp
lemma le_comap_mkq (p' : submodule R p.quotient) : p ≤ comap p.mkq p' :=
by simpa using (comap_mono bot_le : p.mkq.ker ≤ comap p.mkq p')
@[simp] theorem mkq_map_self : map p.mkq p = ⊥ :=
by rw [eq_bot_iff, map_le_iff_le_comap, comap_bot, ker_mkq]; exact le_refl _
@[simp] theorem comap_map_mkq : comap p.mkq (map p.mkq p') = p ⊔ p' :=
by simp [comap_map_eq, sup_comm]
@[simp] theorem map_mkq_eq_top : map p.mkq p' = ⊤ ↔ p ⊔ p' = ⊤ :=
by simp only [map_eq_top_iff p.range_mkq, sup_comm, ker_mkq]
/-- The map from the quotient of `M` by submodule `p` to the quotient of `M₂` by submodule `q` along
`f : M → M₂` is linear. -/
def mapq (f : M →ₗ[R] M₂) (h : p ≤ comap f q) : p.quotient →ₗ[R] q.quotient :=
p.liftq (q.mkq.comp f) $ by simpa [ker_comp] using h
@[simp] theorem mapq_apply (f : M →ₗ[R] M₂) {h} (x : M) :
mapq p q f h (quotient.mk x) = quotient.mk (f x) := rfl
theorem mapq_mkq (f : M →ₗ[R] M₂) {h} : (mapq p q f h).comp p.mkq = q.mkq.comp f :=
by ext x; refl
theorem comap_liftq (f : M →ₗ[R] M₂) (h) :
q.comap (p.liftq f h) = (q.comap f).map (mkq p) :=
le_antisymm
(by rintro ⟨x⟩ hx; exact ⟨_, hx, rfl⟩)
(by rw [map_le_iff_le_comap, ← comap_comp, liftq_mkq]; exact le_refl _)
theorem map_liftq (f : M →ₗ[R] M₂) (h) (q : submodule R (quotient p)) :
q.map (p.liftq f h) = (q.comap p.mkq).map f :=
le_antisymm
(by rintro _ ⟨⟨x⟩, hxq, rfl⟩; exact ⟨x, hxq, rfl⟩)
(by rintro _ ⟨x, hxq, rfl⟩; exact ⟨quotient.mk x, hxq, rfl⟩)
theorem ker_liftq (f : M →ₗ[R] M₂) (h) :
ker (p.liftq f h) = (ker f).map (mkq p) := comap_liftq _ _ _ _
theorem range_liftq (f : M →ₗ[R] M₂) (h) :
range (p.liftq f h) = range f := map_liftq _ _ _ _
theorem ker_liftq_eq_bot (f : M →ₗ[R] M₂) (h) (h' : ker f ≤ p) : ker (p.liftq f h) = ⊥ :=
by rw [ker_liftq, le_antisymm h h', mkq_map_self]
/-- The correspondence theorem for modules: there is an order isomorphism between submodules of the
quotient of `M` by `p`, and submodules of `M` larger than `p`. -/
def comap_mkq.rel_iso :
submodule R p.quotient ≃o {p' : submodule R M // p ≤ p'} :=
{ to_fun := λ p', ⟨comap p.mkq p', le_comap_mkq p _⟩,
inv_fun := λ q, map p.mkq q,
left_inv := λ p', map_comap_eq_self $ by simp,
right_inv := λ ⟨q, hq⟩, subtype.ext_val $ by simpa [comap_map_mkq p],
map_rel_iff' := λ p₁ p₂, (comap_le_comap_iff $ range_mkq _).symm }
/-- The ordering on submodules of the quotient of `M` by `p` embeds into the ordering on submodules
of `M`. -/
def comap_mkq.order_embedding :
submodule R p.quotient ↪o submodule R M :=
(rel_iso.to_rel_embedding $ comap_mkq.rel_iso p).trans (subtype.rel_embedding _ _)
@[simp] lemma comap_mkq_embedding_eq (p' : submodule R p.quotient) :
comap_mkq.order_embedding p p' = comap p.mkq p' := rfl
end ring
end submodule
namespace linear_map
variables [ring R] [add_comm_group M] [add_comm_group M₂] [add_comm_group M₃]
variables [module R M] [module R M₂] [module R M₃]
lemma range_mkq_comp (f : M →ₗ[R] M₂) : f.range.mkq.comp f = 0 :=
linear_map.ext $ λ x, by simp
lemma ker_le_range_iff {f : M →ₗ[R] M₂} {g : M₂ →ₗ[R] M₃} :
g.ker ≤ f.range ↔ f.range.mkq.comp g.ker.subtype = 0 :=
by rw [←range_le_ker_iff, submodule.ker_mkq, submodule.range_subtype]
/-- A monomorphism is injective. -/
lemma ker_eq_bot_of_cancel {f : M →ₗ[R] M₂}
(h : ∀ (u v : f.ker →ₗ[R] M), f.comp u = f.comp v → u = v) : f.ker = ⊥ :=
begin
have h₁ : f.comp (0 : f.ker →ₗ[R] M) = 0 := comp_zero _,
rw [←submodule.range_subtype f.ker, ←h 0 f.ker.subtype (eq.trans h₁ (comp_ker_subtype f).symm)],
exact range_zero
end
/-- An epimorphism is surjective. -/
lemma range_eq_top_of_cancel {f : M →ₗ[R] M₂}
(h : ∀ (u v : M₂ →ₗ[R] f.range.quotient), u.comp f = v.comp f → u = v) : f.range = ⊤ :=
begin
have h₁ : (0 : M₂ →ₗ[R] f.range.quotient).comp f = 0 := zero_comp _,
rw [←submodule.ker_mkq f.range, ←h 0 f.range.mkq (eq.trans h₁ (range_mkq_comp _).symm)],
exact ker_zero
end
end linear_map
@[simp] lemma linear_map.range_range_restrict [semiring R] [add_comm_monoid M] [add_comm_monoid M₂]
[semimodule R M] [semimodule R M₂] (f : M →ₗ[R] M₂) :
f.range_restrict.range = ⊤ :=
by simp [f.range_cod_restrict _]
/-! ### Linear equivalences -/
section
set_option old_structure_cmd true
/-- A linear equivalence is an invertible linear map. -/
@[nolint has_inhabited_instance]
structure linear_equiv (R : Type u) (M : Type v) (M₂ : Type w)
[semiring R] [add_comm_monoid M] [add_comm_monoid M₂] [semimodule R M] [semimodule R M₂]
extends M →ₗ[R] M₂, M ≃ M₂
end
attribute [nolint doc_blame] linear_equiv.to_linear_map
attribute [nolint doc_blame] linear_equiv.to_equiv
infix ` ≃ₗ ` := linear_equiv _
notation M ` ≃ₗ[`:50 R `] ` M₂ := linear_equiv R M M₂
namespace linear_equiv
section add_comm_monoid
variables [semiring R] [add_comm_monoid M] [add_comm_monoid M₂]
[add_comm_monoid M₃] [add_comm_monoid M₄]
section
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃]
include R
instance : has_coe (M ≃ₗ[R] M₂) (M →ₗ[R] M₂) := ⟨to_linear_map⟩
-- see Note [function coercion]
instance : has_coe_to_fun (M ≃ₗ[R] M₂) := ⟨_, λ f, f.to_fun⟩
@[simp] lemma mk_apply {to_fun inv_fun map_add map_smul left_inv right_inv a} :
(⟨to_fun, map_add, map_smul, inv_fun, left_inv, right_inv⟩ : M ≃ₗ[R] M₂) a = to_fun a :=
rfl
lemma to_equiv_injective : function.injective (to_equiv : (M ≃ₗ[R] M₂) → M ≃ M₂) :=
λ ⟨_, _, _, _, _, _⟩ ⟨_, _, _, _, _, _⟩ h, linear_equiv.mk.inj_eq.mpr (equiv.mk.inj h)
end
section
variables {semimodule_M : semimodule R M} {semimodule_M₂ : semimodule R M₂}
variables (e e' : M ≃ₗ[R] M₂)
@[simp, norm_cast] theorem coe_coe : ((e : M →ₗ[R] M₂) : M → M₂) = (e : M → M₂) := rfl
@[simp] lemma coe_to_equiv : ((e.to_equiv) : M → M₂) = (e : M → M₂) := rfl
@[simp] lemma to_fun_apply {m : M} : e.to_fun m = e m := rfl
section
variables {e e'}
@[ext] lemma ext (h : ∀ x, e x = e' x) : e = e' :=
to_equiv_injective (equiv.ext h)
variables [semimodule R M] [semimodule R M₂]
lemma eq_of_linear_map_eq {f f' : M ≃ₗ[R] M₂} (h : (f : M →ₗ[R] M₂) = f') : f = f' :=
begin
ext x,
change (f : M →ₗ[R] M₂) x = (f' : M →ₗ[R] M₂) x,
rw h
end
end
section
variables (M R)
/-- The identity map is a linear equivalence. -/
@[refl]
def refl [semimodule R M] : M ≃ₗ[R] M := { .. linear_map.id, .. equiv.refl M }
end
@[simp] lemma refl_apply [semimodule R M] (x : M) : refl R M x = x := rfl
/-- Linear equivalences are symmetric. -/
@[symm]
def symm : M₂ ≃ₗ[R] M :=
{ .. e.to_linear_map.inverse e.inv_fun e.left_inv e.right_inv,
.. e.to_equiv.symm }
@[simp] lemma inv_fun_apply {m : M₂} : e.inv_fun m = e.symm m := rfl
variables {semimodule_M₃ : semimodule R M₃} (e₁ : M ≃ₗ[R] M₂) (e₂ : M₂ ≃ₗ[R] M₃)
/-- Linear equivalences are transitive. -/
@[trans]
def trans : M ≃ₗ[R] M₃ :=
{ .. e₂.to_linear_map.comp e₁.to_linear_map,
.. e₁.to_equiv.trans e₂.to_equiv }
/-- A linear equivalence is an additive equivalence. -/
def to_add_equiv : M ≃+ M₂ := { .. e }
@[simp] lemma coe_to_add_equiv : ⇑(e.to_add_equiv) = e := rfl
@[simp] theorem trans_apply (c : M) :
(e₁.trans e₂) c = e₂ (e₁ c) := rfl
@[simp] theorem apply_symm_apply (c : M₂) : e (e.symm c) = c := e.6 c
@[simp] theorem symm_apply_apply (b : M) : e.symm (e b) = b := e.5 b
@[simp] lemma symm_trans_apply (c : M₃) : (e₁.trans e₂).symm c = e₁.symm (e₂.symm c) := rfl
@[simp] lemma trans_refl : e.trans (refl R M₂) = e := to_equiv_injective e.to_equiv.trans_refl
@[simp] lemma refl_trans : (refl R M).trans e = e := to_equiv_injective e.to_equiv.refl_trans
lemma symm_apply_eq {x y} : e.symm x = y ↔ x = e y := e.to_equiv.symm_apply_eq
lemma eq_symm_apply {x y} : y = e.symm x ↔ e y = x := e.to_equiv.eq_symm_apply
@[simp] lemma trans_symm [semimodule R M] [semimodule R M₂] (f : M ≃ₗ[R] M₂) :
f.trans f.symm = linear_equiv.refl R M :=
by { ext x, simp }
@[simp] lemma symm_trans [semimodule R M] [semimodule R M₂] (f : M ≃ₗ[R] M₂) :
f.symm.trans f = linear_equiv.refl R M₂ :=
by { ext x, simp }
@[simp, norm_cast] lemma refl_to_linear_map [semimodule R M] :
(linear_equiv.refl R M : M →ₗ[R] M) = linear_map.id :=
rfl
@[simp, norm_cast]
lemma comp_coe [semimodule R M] [semimodule R M₂] [semimodule R M₃] (f : M ≃ₗ[R] M₂)
(f' : M₂ ≃ₗ[R] M₃) : (f' : M₂ →ₗ[R] M₃).comp (f : M →ₗ[R] M₂) = (f.trans f' : M →ₗ[R] M₃) :=
rfl
@[simp] theorem map_add (a b : M) : e (a + b) = e a + e b := e.map_add' a b
@[simp] theorem map_zero : e 0 = 0 := e.to_linear_map.map_zero
@[simp] theorem map_smul (c : R) (x : M) : e (c • x) = c • e x := e.map_smul' c x
@[simp] lemma map_sum {s : finset ι} (u : ι → M) : e (∑ i in s, u i) = ∑ i in s, e (u i) :=
e.to_linear_map.map_sum
@[simp] theorem map_eq_zero_iff {x : M} : e x = 0 ↔ x = 0 :=
e.to_add_equiv.map_eq_zero_iff
theorem map_ne_zero_iff {x : M} : e x ≠ 0 ↔ x ≠ 0 :=
e.to_add_equiv.map_ne_zero_iff
@[simp] theorem symm_symm : e.symm.symm = e := by { cases e, refl }
protected lemma bijective : function.bijective e := e.to_equiv.bijective
protected lemma injective : function.injective e := e.to_equiv.injective
protected lemma surjective : function.surjective e := e.to_equiv.surjective
protected lemma image_eq_preimage (s : set M) : e '' s = e.symm ⁻¹' s :=
e.to_equiv.image_eq_preimage s
lemma map_eq_comap {p : submodule R M} : (p.map e : submodule R M₂) = p.comap e.symm :=
submodule.coe_injective $ by simp [e.image_eq_preimage]
/-- A linear equivalence of two modules restricts to a linear equivalence from any submodule
of the domain onto the image of the submodule. -/
def of_submodule (p : submodule R M) : p ≃ₗ[R] ↥(p.map ↑e : submodule R M₂) :=
{ inv_fun := λ y, ⟨e.symm y, by {
rcases y with ⟨y', hy⟩, rw submodule.mem_map at hy, rcases hy with ⟨x, hx, hxy⟩, subst hxy,
simp only [symm_apply_apply, submodule.coe_mk, coe_coe, hx], }⟩,
left_inv := λ x, by simp,
right_inv := λ y, by { apply set_coe.ext, simp, },
..((e : M →ₗ[R] M₂).dom_restrict p).cod_restrict (p.map ↑e) (λ x, ⟨x, by simp⟩) }
@[simp] lemma of_submodule_apply (p : submodule R M) (x : p) :
↑(e.of_submodule p x) = e x := rfl
@[simp] lemma of_submodule_symm_apply (p : submodule R M) (x : (p.map ↑e : submodule R M₂)) :
↑((e.of_submodule p).symm x) = e.symm x := rfl
end
section prod
variables {semimodule_M : semimodule R M} {semimodule_M₂ : semimodule R M₂}
variables {semimodule_M₃ : semimodule R M₃} {semimodule_M₄ : semimodule R M₄}
variables (e₁ : M ≃ₗ[R] M₂) (e₂ : M₃ ≃ₗ[R] M₄)
/-- Product of linear equivalences; the maps come from `equiv.prod_congr`. -/
protected def prod :
(M × M₃) ≃ₗ[R] (M₂ × M₄) :=
{ map_add' := λ x y, prod.ext (e₁.map_add _ _) (e₂.map_add _ _),
map_smul' := λ c x, prod.ext (e₁.map_smul c _) (e₂.map_smul c _),
.. equiv.prod_congr e₁.to_equiv e₂.to_equiv }
lemma prod_symm : (e₁.prod e₂).symm = e₁.symm.prod e₂.symm := rfl
@[simp] lemma prod_apply (p) :
e₁.prod e₂ p = (e₁ p.1, e₂ p.2) := rfl
@[simp, norm_cast] lemma coe_prod :
(e₁.prod e₂ : (M × M₃) →ₗ[R] (M₂ × M₄)) = (e₁ : M →ₗ[R] M₂).prod_map (e₂ : M₃ →ₗ[R] M₄) := rfl
end prod
section uncurry
variables (V V₂ R)
/-- Linear equivalence between a curried and uncurried function.
Differs from `tensor_product.curry`. -/
protected def uncurry :
(V → V₂ → R) ≃ₗ[R] (V × V₂ → R) :=
{ map_add' := λ _ _, by { ext ⟨⟩, refl },
map_smul' := λ _ _, by { ext ⟨⟩, refl },
.. equiv.arrow_arrow_equiv_prod_arrow _ _ _}
@[simp] lemma coe_uncurry : ⇑(linear_equiv.uncurry R V V₂) = uncurry := rfl
@[simp] lemma coe_uncurry_symm : ⇑(linear_equiv.uncurry R V V₂).symm = curry := rfl
end uncurry
section
variables {semimodule_M : semimodule R M} {semimodule_M₂ : semimodule R M₂}
variables (f : M →ₗ[R] M₂) (g : M₂ →ₗ[R] M) (e : M ≃ₗ[R] M₂)
variables (p q : submodule R M)
/-- Linear equivalence between two equal submodules. -/
def of_eq (h : p = q) : p ≃ₗ[R] q :=
{ map_smul' := λ _ _, rfl, map_add' := λ _ _, rfl, .. equiv.set.of_eq (congr_arg _ h) }
variables {p q}
@[simp] lemma coe_of_eq_apply (h : p = q) (x : p) : (of_eq p q h x : M) = x := rfl
@[simp] lemma of_eq_symm (h : p = q) : (of_eq p q h).symm = of_eq q p h.symm := rfl
/-- A linear equivalence which maps a submodule of one module onto another, restricts to a linear
equivalence of the two submodules. -/
def of_submodules (p : submodule R M) (q : submodule R M₂) (h : p.map ↑e = q) : p ≃ₗ[R] q :=
(e.of_submodule p).trans (linear_equiv.of_eq _ _ h)
@[simp] lemma of_submodules_apply {p : submodule R M} {q : submodule R M₂}
(h : p.map ↑e = q) (x : p) : ↑(e.of_submodules p q h x) = e x := rfl
@[simp] lemma of_submodules_symm_apply {p : submodule R M} {q : submodule R M₂}
(h : p.map ↑e = q) (x : q) : ↑((e.of_submodules p q h).symm x) = e.symm x := rfl
variable (p)
/-- The top submodule of `M` is linearly equivalent to `M`. -/
def of_top (h : p = ⊤) : p ≃ₗ[R] M :=
{ inv_fun := λ x, ⟨x, h.symm ▸ trivial⟩,
left_inv := λ ⟨x, h⟩, rfl,
right_inv := λ x, rfl,
.. p.subtype }
@[simp] theorem of_top_apply {h} (x : p) : of_top p h x = x := rfl
@[simp] theorem coe_of_top_symm_apply {h} (x : M) : ((of_top p h).symm x : M) = x := rfl
theorem of_top_symm_apply {h} (x : M) : (of_top p h).symm x = ⟨x, h.symm ▸ trivial⟩ := rfl
/-- If a linear map has an inverse, it is a linear equivalence. -/
def of_linear (h₁ : f.comp g = linear_map.id) (h₂ : g.comp f = linear_map.id) : M ≃ₗ[R] M₂ :=
{ inv_fun := g,
left_inv := linear_map.ext_iff.1 h₂,
right_inv := linear_map.ext_iff.1 h₁,
..f }
@[simp] theorem of_linear_apply {h₁ h₂} (x : M) : of_linear f g h₁ h₂ x = f x := rfl
@[simp] theorem of_linear_symm_apply {h₁ h₂} (x : M₂) : (of_linear f g h₁ h₂).symm x = g x := rfl
@[simp] protected theorem range : (e : M →ₗ[R] M₂).range = ⊤ :=
linear_map.range_eq_top.2 e.to_equiv.surjective
lemma eq_bot_of_equiv [semimodule R M₂] (e : p ≃ₗ[R] (⊥ : submodule R M₂)) : p = ⊥ :=
begin
refine bot_unique (submodule.le_def'.2 $ assume b hb, (submodule.mem_bot R).2 _),
rw [← p.mk_eq_zero hb, ← e.map_eq_zero_iff],
apply submodule.eq_zero_of_bot_submodule
end
@[simp] protected theorem ker : (e : M →ₗ[R] M₂).ker = ⊥ :=
linear_map.ker_eq_bot_of_injective e.to_equiv.injective
end
end add_comm_monoid
section add_comm_group
variables [semiring R] [add_comm_group M] [add_comm_group M₂] [add_comm_group M₃] [add_comm_group M₄]
variables {semimodule_M : semimodule R M} {semimodule_M₂ : semimodule R M₂}
variables {semimodule_M₃ : semimodule R M₃} {semimodule_M₄ : semimodule R M₄}
variables (e e₁ : M ≃ₗ[R] M₂) (e₂ : M₃ ≃ₗ[R] M₄)
@[simp] theorem map_neg (a : M) : e (-a) = -e a := e.to_linear_map.map_neg a
@[simp] theorem map_sub (a b : M) : e (a - b) = e a - e b :=
e.to_linear_map.map_sub a b
/-- Equivalence given by a block lower diagonal matrix. `e₁` and `e₂` are diagonal square blocks,
and `f` is a rectangular block below the diagonal. -/
protected def skew_prod (f : M →ₗ[R] M₄) :
(M × M₃) ≃ₗ[R] M₂ × M₄ :=
{ inv_fun := λ p : M₂ × M₄, (e₁.symm p.1, e₂.symm (p.2 - f (e₁.symm p.1))),
left_inv := λ p, by simp,
right_inv := λ p, by simp,
.. ((e₁ : M →ₗ[R] M₂).comp (linear_map.fst R M M₃)).prod
((e₂ : M₃ →ₗ[R] M₄).comp (linear_map.snd R M M₃) +
f.comp (linear_map.fst R M M₃)) }
@[simp] lemma skew_prod_apply (f : M →ₗ[R] M₄) (x) :
e₁.skew_prod e₂ f x = (e₁ x.1, e₂ x.2 + f x.1) := rfl
@[simp] lemma skew_prod_symm_apply (f : M →ₗ[R] M₄) (x) :
(e₁.skew_prod e₂ f).symm x = (e₁.symm x.1, e₂.symm (x.2 - f (e₁.symm x.1))) := rfl
end add_comm_group
section ring
variables [ring R] [add_comm_group M] [add_comm_group M₂]
variables {semimodule_M : semimodule R M} {semimodule_M₂ : semimodule R M₂}
variables (f : M →ₗ[R] M₂) (e : M ≃ₗ[R] M₂)
/-- An `injective` linear map `f : M →ₗ[R] M₂` defines a linear equivalence
between `M` and `f.range`. -/
noncomputable def of_injective (h : f.ker = ⊥) : M ≃ₗ[R] f.range :=
{ .. (equiv.set.range f $ linear_map.ker_eq_bot.1 h).trans (equiv.set.of_eq f.range_coe.symm),
.. f.cod_restrict f.range (λ x, f.mem_range_self x) }
@[simp] theorem of_injective_apply {h : f.ker = ⊥} (x : M) :
↑(of_injective f h x) = f x := rfl
/-- A bijective linear map is a linear equivalence. Here, bijectivity is described by saying that
the kernel of `f` is `{0}` and the range is the universal set. -/
noncomputable def of_bijective (hf₁ : f.ker = ⊥) (hf₂ : f.range = ⊤) : M ≃ₗ[R] M₂ :=
(of_injective f hf₁).trans (of_top _ hf₂)
@[simp] theorem of_bijective_apply {hf₁ hf₂} (x : M) :
of_bijective f hf₁ hf₂ x = f x := rfl
end ring
section comm_ring
variables [comm_ring R] [add_comm_group M] [add_comm_group M₂] [add_comm_group M₃]
variables [semimodule R M] [semimodule R M₂] [semimodule R M₃]
open linear_map
/-- Multiplying by a unit `a` of the ring `R` is a linear equivalence. -/
def smul_of_unit (a : units R) : M ≃ₗ[R] M :=
of_linear ((a:R) • 1 : M →ₗ M) (((a⁻¹ : units R) : R) • 1 : M →ₗ M)
(by rw [smul_comp, comp_smul, smul_smul, units.mul_inv, one_smul]; refl)
(by rw [smul_comp, comp_smul, smul_smul, units.inv_mul, one_smul]; refl)
/-- A linear isomorphism between the domains and codomains of two spaces of linear maps gives a
linear isomorphism between the two function spaces. -/
def arrow_congr {R M₁ M₂ M₂₁ M₂₂ : Sort*} [comm_ring R]
[add_comm_group M₁] [add_comm_group M₂] [add_comm_group M₂₁] [add_comm_group M₂₂]
[module R M₁] [module R M₂] [module R M₂₁] [module R M₂₂]
(e₁ : M₁ ≃ₗ[R] M₂) (e₂ : M₂₁ ≃ₗ[R] M₂₂) :
(M₁ →ₗ[R] M₂₁) ≃ₗ[R] (M₂ →ₗ[R] M₂₂) :=
{ to_fun := λ f, (e₂ : M₂₁ →ₗ[R] M₂₂).comp $ f.comp e₁.symm,
inv_fun := λ f, (e₂.symm : M₂₂ →ₗ[R] M₂₁).comp $ f.comp e₁,
left_inv := λ f, by { ext x, simp },
right_inv := λ f, by { ext x, simp },
map_add' := λ f g, by { ext x, simp },
map_smul' := λ c f, by { ext x, simp } }
@[simp] lemma arrow_congr_apply {R M₁ M₂ M₂₁ M₂₂ : Sort*} [comm_ring R]
[add_comm_group M₁] [add_comm_group M₂] [add_comm_group M₂₁] [add_comm_group M₂₂]
[module R M₁] [module R M₂] [module R M₂₁] [module R M₂₂]
(e₁ : M₁ ≃ₗ[R] M₂) (e₂ : M₂₁ ≃ₗ[R] M₂₂) (f : M₁ →ₗ[R] M₂₁) (x : M₂) :
arrow_congr e₁ e₂ f x = e₂ (f (e₁.symm x)) :=
rfl
@[simp] lemma arrow_congr_symm_apply {R M₁ M₂ M₂₁ M₂₂ : Sort*} [comm_ring R]
[add_comm_group M₁] [add_comm_group M₂] [add_comm_group M₂₁] [add_comm_group M₂₂]
[module R M₁] [module R M₂] [module R M₂₁] [module R M₂₂]
(e₁ : M₁ ≃ₗ[R] M₂) (e₂ : M₂₁ ≃ₗ[R] M₂₂) (f : M₂ →ₗ[R] M₂₂) (x : M₁) :
(arrow_congr e₁ e₂).symm f x = e₂.symm (f (e₁ x)) :=
rfl
lemma arrow_congr_comp {N N₂ N₃ : Sort*}
[add_comm_group N] [add_comm_group N₂] [add_comm_group N₃] [module R N] [module R N₂] [module R N₃]
(e₁ : M ≃ₗ[R] N) (e₂ : M₂ ≃ₗ[R] N₂) (e₃ : M₃ ≃ₗ[R] N₃) (f : M →ₗ[R] M₂) (g : M₂ →ₗ[R] M₃) :
arrow_congr e₁ e₃ (g.comp f) = (arrow_congr e₂ e₃ g).comp (arrow_congr e₁ e₂ f) :=
by { ext, simp only [symm_apply_apply, arrow_congr_apply, linear_map.comp_apply], }
lemma arrow_congr_trans {M₁ M₂ M₃ N₁ N₂ N₃ : Sort*}
[add_comm_group M₁] [module R M₁] [add_comm_group M₂] [module R M₂] [add_comm_group M₃] [module R M₃]
[add_comm_group N₁] [module R N₁] [add_comm_group N₂] [module R N₂] [add_comm_group N₃] [module R N₃]
(e₁ : M₁ ≃ₗ[R] M₂) (e₂ : N₁ ≃ₗ[R] N₂) (e₃ : M₂ ≃ₗ[R] M₃) (e₄ : N₂ ≃ₗ[R] N₃) :
(arrow_congr e₁ e₂).trans (arrow_congr e₃ e₄) = arrow_congr (e₁.trans e₃) (e₂.trans e₄) :=
rfl
/-- If `M₂` and `M₃` are linearly isomorphic then the two spaces of linear maps from `M` into `M₂`
and `M` into `M₃` are linearly isomorphic. -/
def congr_right (f : M₂ ≃ₗ[R] M₃) : (M →ₗ[R] M₂) ≃ₗ (M →ₗ M₃) := arrow_congr (linear_equiv.refl R M) f
/-- If `M` and `M₂` are linearly isomorphic then the two spaces of linear maps from `M` and `M₂` to
themselves are linearly isomorphic. -/
def conj (e : M ≃ₗ[R] M₂) : (module.End R M) ≃ₗ[R] (module.End R M₂) := arrow_congr e e
lemma conj_apply (e : M ≃ₗ[R] M₂) (f : module.End R M) :
e.conj f = ((↑e : M →ₗ[R] M₂).comp f).comp e.symm := rfl
lemma symm_conj_apply (e : M ≃ₗ[R] M₂) (f : module.End R M₂) :
e.symm.conj f = ((↑e.symm : M₂ →ₗ[R] M).comp f).comp e := rfl
lemma conj_comp (e : M ≃ₗ[R] M₂) (f g : module.End R M) :
e.conj (g.comp f) = (e.conj g).comp (e.conj f) :=
arrow_congr_comp e e e f g
lemma conj_trans (e₁ : M ≃ₗ[R] M₂) (e₂ : M₂ ≃ₗ[R] M₃) :
e₁.conj.trans e₂.conj = (e₁.trans e₂).conj :=
by { ext f x, refl, }
@[simp] lemma conj_id (e : M ≃ₗ[R] M₂) : e.conj linear_map.id = linear_map.id :=
by { ext, simp [conj_apply], }
end comm_ring
section field
variables [field K] [add_comm_group M] [add_comm_group M₂] [add_comm_group M₃]
variables [module K M] [module K M₂] [module K M₃]
variables (K) (M)
open linear_map
/-- Multiplying by a nonzero element `a` of the field `K` is a linear equivalence. -/
def smul_of_ne_zero (a : K) (ha : a ≠ 0) : M ≃ₗ[K] M :=
smul_of_unit $ units.mk0 a ha
section
noncomputable theory
open_locale classical
lemma ker_to_span_singleton {x : M} (h : x ≠ 0) : (to_span_singleton K M x).ker = ⊥ :=
begin
ext c, split,
{ intros hc, rw submodule.mem_bot, rw mem_ker at hc, by_contra hc',
have : x = 0,
calc x = c⁻¹ • (c • x) : by rw [← mul_smul, inv_mul_cancel hc', one_smul]
... = c⁻¹ • ((to_span_singleton K M x) c) : rfl
... = 0 : by rw [hc, smul_zero],
tauto },
{ rw [mem_ker, submodule.mem_bot], intros h, rw h, simp }
end
/-- Given a nonzero element `x` of a vector space `M` over a field `K`, the natural
map from `K` to the span of `x`, with invertibility check to consider it as an
isomorphism.-/
def to_span_nonzero_singleton (x : M) (h : x ≠ 0) : K ≃ₗ[K] (submodule.span K ({x} : set M)) :=
linear_equiv.trans
(linear_equiv.of_injective (to_span_singleton K M x) (ker_to_span_singleton K M h))
(of_eq (to_span_singleton K M x).range (submodule.span K {x}) (span_singleton_eq_range K M x).symm)
lemma to_span_nonzero_singleton_one (x : M) (h : x ≠ 0) : to_span_nonzero_singleton K M x h 1
= (⟨x, submodule.mem_span_singleton_self x⟩ : submodule.span K ({x} : set M)) :=
begin
apply submodule.coe_eq_coe.mp,
have : ↑(to_span_nonzero_singleton K M x h 1) = to_span_singleton K M x 1 := rfl,
rw [this, to_span_singleton_one, submodule.coe_mk],
end
/-- Given a nonzero element `x` of a vector space `M` over a field `K`, the natural map
from the span of `x` to `K`.-/
abbreviation coord (x : M) (h : x ≠ 0) : (submodule.span K ({x} : set M)) ≃ₗ[K] K :=
(to_span_nonzero_singleton K M x h).symm
lemma coord_self (x : M) (h : x ≠ 0) : (coord K M x h) ( ⟨x, submodule.mem_span_singleton_self x⟩ :
submodule.span K ({x} : set M)) = 1 :=
by rw [← to_span_nonzero_singleton_one K M x h, symm_apply_apply]
end
end field
end linear_equiv
namespace submodule
section semimodule
variables [semiring R] [add_comm_monoid M] [semimodule R M]
/-- If `s ≤ t`, then we can view `s` as a submodule of `t` by taking the comap
of `t.subtype`. -/
def comap_subtype_equiv_of_le {p q : submodule R M} (hpq : p ≤ q) :
comap q.subtype p ≃ₗ[R] p :=
{ to_fun := λ x, ⟨x, x.2⟩,
inv_fun := λ x, ⟨⟨x, hpq x.2⟩, x.2⟩,
left_inv := λ x, by simp only [coe_mk, submodule.eta, coe_coe],
right_inv := λ x, by simp only [subtype.coe_mk, submodule.eta, coe_coe],
map_add' := λ x y, rfl,
map_smul' := λ c x, rfl }
end semimodule
variables [ring R] [add_comm_group M] [module R M]
variables (p : submodule R M)
open linear_map
/-- If `p = ⊥`, then `M / p ≃ₗ[R] M`. -/
def quot_equiv_of_eq_bot (hp : p = ⊥) : p.quotient ≃ₗ[R] M :=
linear_equiv.of_linear (p.liftq id $ hp.symm ▸ bot_le) p.mkq (liftq_mkq _ _ _) $
p.quot_hom_ext $ λ x, rfl
@[simp] lemma quot_equiv_of_eq_bot_apply_mk (hp : p = ⊥) (x : M) :
p.quot_equiv_of_eq_bot hp (quotient.mk x) = x := rfl
@[simp] lemma quot_equiv_of_eq_bot_symm_apply (hp : p = ⊥) (x : M) :
(p.quot_equiv_of_eq_bot hp).symm x = quotient.mk x := rfl
@[simp] lemma coe_quot_equiv_of_eq_bot_symm (hp : p = ⊥) :
((p.quot_equiv_of_eq_bot hp).symm : M →ₗ[R] p.quotient) = p.mkq := rfl
variables (q : submodule R M)
/-- Quotienting by equal submodules gives linearly equivalent quotients. -/
def quot_equiv_of_eq (h : p = q) : p.quotient ≃ₗ[R] q.quotient :=
{ map_add' := by { rintros ⟨x⟩ ⟨y⟩, refl }, map_smul' := by { rintros x ⟨y⟩, refl },
..@quotient.congr _ _ (quotient_rel p) (quotient_rel q) (equiv.refl _) $ λ a b, by { subst h, refl } }
end submodule
namespace submodule
variables [comm_ring R] [add_comm_group M] [add_comm_group M₂] [module R M] [module R M₂]
variables (p : submodule R M) (q : submodule R M₂)
@[simp] lemma mem_map_equiv {e : M ≃ₗ[R] M₂} {x : M₂} : x ∈ p.map (e : M →ₗ[R] M₂) ↔ e.symm x ∈ p :=
begin
rw submodule.mem_map, split,
{ rintros ⟨y, hy, hx⟩, simp [←hx, hy], },
{ intros hx, refine ⟨e.symm x, hx, by simp⟩, },
end
lemma comap_le_comap_smul (f : M →ₗ[R] M₂) (c : R) :
comap f q ≤ comap (c • f) q :=
begin
rw le_def',
intros m h,
change c • (f m) ∈ q,
change f m ∈ q at h,
apply q.smul_mem _ h,
end
lemma inf_comap_le_comap_add (f₁ f₂ : M →ₗ[R] M₂) :
comap f₁ q ⊓ comap f₂ q ≤ comap (f₁ + f₂) q :=
begin
rw le_def',
intros m h,
change f₁ m + f₂ m ∈ q,
change f₁ m ∈ q ∧ f₂ m ∈ q at h,
apply q.add_mem h.1 h.2,
end
/-- Given modules `M`, `M₂` over a commutative ring, together with submodules `p ⊆ M`, `q ⊆ M₂`, the
set of maps $\\{f ∈ Hom(M, M₂) | f(p) ⊆ q \\}$ is a submodule of `Hom(M, M₂)`. -/
def compatible_maps : submodule R (M →ₗ[R] M₂) :=
{ carrier := {f | p ≤ comap f q},
zero_mem' := by { change p ≤ comap 0 q, rw comap_zero, refine le_top, },
add_mem' := λ f₁ f₂ h₁ h₂, by { apply le_trans _ (inf_comap_le_comap_add q f₁ f₂), rw le_inf_iff,
exact ⟨h₁, h₂⟩, },
smul_mem' := λ c f h, le_trans h (comap_le_comap_smul q f c), }
/-- Given modules `M`, `M₂` over a commutative ring, together with submodules `p ⊆ M`, `q ⊆ M₂`, the
natural map $\\{f ∈ Hom(M, M₂) | f(p) ⊆ q \\} \to Hom(M/p, M₂/q)$ is linear. -/
def mapq_linear : compatible_maps p q →ₗ[R] p.quotient →ₗ[R] q.quotient :=
{ to_fun := λ f, mapq _ _ f.val f.property,
map_add' := λ x y, by { ext m', apply quotient.induction_on' m', intros m, refl, },
map_smul' := λ c f, by { ext m', apply quotient.induction_on' m', intros m, refl, } }
end submodule
namespace equiv
variables [semiring R] [add_comm_monoid M] [semimodule R M] [add_comm_monoid M₂] [semimodule R M₂]
/-- An equivalence whose underlying function is linear is a linear equivalence. -/
def to_linear_equiv (e : M ≃ M₂) (h : is_linear_map R (e : M → M₂)) : M ≃ₗ[R] M₂ :=
{ .. e, .. h.mk' e}
end equiv
namespace linear_map
open submodule
section isomorphism_laws
variables [ring R] [add_comm_group M] [add_comm_group M₂] [add_comm_group M₃]
variables [module R M] [module R M₂] [module R M₃]
variables (f : M →ₗ[R] M₂)
/-- The first isomorphism law for modules. The quotient of `M` by the kernel of `f` is linearly
equivalent to the range of `f`. -/
noncomputable def quot_ker_equiv_range : f.ker.quotient ≃ₗ[R] f.range :=
(linear_equiv.of_injective (f.ker.liftq f $ le_refl _) $
submodule.ker_liftq_eq_bot _ _ _ (le_refl f.ker)).trans
(linear_equiv.of_eq _ _ $ submodule.range_liftq _ _ _)
@[simp] lemma quot_ker_equiv_range_apply_mk (x : M) :
(f.quot_ker_equiv_range (submodule.quotient.mk x) : M₂) = f x :=
rfl
@[simp] lemma quot_ker_equiv_range_symm_apply_image (x : M) (h : f x ∈ f.range) :
f.quot_ker_equiv_range.symm ⟨f x, h⟩ = f.ker.mkq x :=
f.quot_ker_equiv_range.symm_apply_apply (f.ker.mkq x)
/--
Canonical linear map from the quotient `p/(p ∩ p')` to `(p+p')/p'`, mapping `x + (p ∩ p')`
to `x + p'`, where `p` and `p'` are submodules of an ambient module.
-/
def quotient_inf_to_sup_quotient (p p' : submodule R M) :
(comap p.subtype (p ⊓ p')).quotient →ₗ[R] (comap (p ⊔ p').subtype p').quotient :=
(comap p.subtype (p ⊓ p')).liftq
((comap (p ⊔ p').subtype p').mkq.comp (of_le le_sup_left)) begin
rw [ker_comp, of_le, comap_cod_restrict, ker_mkq, map_comap_subtype],
exact comap_mono (inf_le_inf_right _ le_sup_left) end
/--
Second Isomorphism Law : the canonical map from `p/(p ∩ p')` to `(p+p')/p'` as a linear isomorphism.
-/
noncomputable def quotient_inf_equiv_sup_quotient (p p' : submodule R M) :
(comap p.subtype (p ⊓ p')).quotient ≃ₗ[R] (comap (p ⊔ p').subtype p').quotient :=
linear_equiv.of_bijective (quotient_inf_to_sup_quotient p p')
begin
rw [quotient_inf_to_sup_quotient, ker_liftq_eq_bot],
rw [ker_comp, ker_mkq],
exact λ ⟨x, hx1⟩ hx2, ⟨hx1, hx2⟩
end
begin
rw [quotient_inf_to_sup_quotient, range_liftq, eq_top_iff'],
rintros ⟨x, hx⟩, rcases mem_sup.1 hx with ⟨y, hy, z, hz, rfl⟩,
use [⟨y, hy⟩, trivial], apply (submodule.quotient.eq _).2,
change y - (y + z) ∈ p',
rwa [sub_add_eq_sub_sub, sub_self, zero_sub, neg_mem_iff]
end
@[simp] lemma coe_quotient_inf_to_sup_quotient (p p' : submodule R M) :
⇑(quotient_inf_to_sup_quotient p p') = quotient_inf_equiv_sup_quotient p p' := rfl
@[simp] lemma quotient_inf_equiv_sup_quotient_apply_mk (p p' : submodule R M) (x : p) :
quotient_inf_equiv_sup_quotient p p' (submodule.quotient.mk x) =
submodule.quotient.mk (of_le (le_sup_left : p ≤ p ⊔ p') x) :=
rfl
lemma quotient_inf_equiv_sup_quotient_symm_apply_left (p p' : submodule R M)
(x : p ⊔ p') (hx : (x:M) ∈ p) :
(quotient_inf_equiv_sup_quotient p p').symm (submodule.quotient.mk x) =
submodule.quotient.mk ⟨x, hx⟩ :=
(linear_equiv.symm_apply_eq _).2 $ by simp [of_le_apply]
@[simp] lemma quotient_inf_equiv_sup_quotient_symm_apply_eq_zero_iff {p p' : submodule R M}
{x : p ⊔ p'} :
(quotient_inf_equiv_sup_quotient p p').symm (submodule.quotient.mk x) = 0 ↔ (x:M) ∈ p' :=
(linear_equiv.symm_apply_eq _).trans $ by simp [of_le_apply]
lemma quotient_inf_equiv_sup_quotient_symm_apply_right (p p' : submodule R M) {x : p ⊔ p'}
(hx : (x:M) ∈ p') :
(quotient_inf_equiv_sup_quotient p p').symm (submodule.quotient.mk x) = 0 :=
quotient_inf_equiv_sup_quotient_symm_apply_eq_zero_iff.2 hx
end isomorphism_laws
section prod
lemma is_linear_map_prod_iso {R M M₂ M₃ : Type*}
[comm_semiring R] [add_comm_monoid M] [add_comm_monoid M₂]
[add_comm_group M₃] [semimodule R M] [semimodule R M₂] [semimodule R M₃] :
is_linear_map R (λ(p : (M →ₗ[R] M₂) × (M →ₗ[R] M₃)),
(linear_map.prod p.1 p.2 : (M →ₗ[R] (M₂ × M₃)))) :=
⟨λu v, rfl, λc u, rfl⟩
end prod
section pi
universe i
variables [semiring R] [add_comm_monoid M₂] [semimodule R M₂] [add_comm_monoid M₃] [semimodule R M₃]
{φ : ι → Type i} [∀i, add_comm_monoid (φ i)] [∀i, semimodule R (φ i)]
/-- `pi` construction for linear functions. From a family of linear functions it produces a linear
function into a family of modules. -/
def pi (f : Πi, M₂ →ₗ[R] φ i) : M₂ →ₗ[R] (Πi, φ i) :=
⟨λc i, f i c, λ c d, funext $ λ i, (f i).map_add _ _, λ c d, funext $ λ i, (f i).map_smul _ _⟩
@[simp] lemma pi_apply (f : Πi, M₂ →ₗ[R] φ i) (c : M₂) (i : ι) :
pi f c i = f i c := rfl
lemma ker_pi (f : Πi, M₂ →ₗ[R] φ i) : ker (pi f) = (⨅i:ι, ker (f i)) :=
by ext c; simp [funext_iff]; refl
lemma pi_eq_zero (f : Πi, M₂ →ₗ[R] φ i) : pi f = 0 ↔ (∀i, f i = 0) :=
by simp only [linear_map.ext_iff, pi_apply, funext_iff]; exact ⟨λh a b, h b a, λh a b, h b a⟩
lemma pi_zero : pi (λi, 0 : Πi, M₂ →ₗ[R] φ i) = 0 :=
by ext; refl
lemma pi_comp (f : Πi, M₂ →ₗ[R] φ i) (g : M₃ →ₗ[R] M₂) : (pi f).comp g = pi (λi, (f i).comp g) :=
rfl
/-- The projections from a family of modules are linear maps. -/
def proj (i : ι) : (Πi, φ i) →ₗ[R] φ i :=
⟨ λa, a i, assume f g, rfl, assume c f, rfl ⟩
@[simp] lemma proj_apply (i : ι) (b : Πi, φ i) : (proj i : (Πi, φ i) →ₗ[R] φ i) b = b i := rfl
lemma proj_pi (f : Πi, M₂ →ₗ[R] φ i) (i : ι) : (proj i).comp (pi f) = f i :=
ext $ assume c, rfl
lemma infi_ker_proj : (⨅i, ker (proj i) : submodule R (Πi, φ i)) = ⊥ :=
bot_unique $ submodule.le_def'.2 $ assume a h,
begin
simp only [mem_infi, mem_ker, proj_apply] at h,
exact (mem_bot _).2 (funext $ assume i, h i)
end
section
variables (R φ)
/-- If `I` and `J` are disjoint index sets, the product of the kernels of the `J`th projections of
`φ` is linearly equivalent to the product over `I`. -/
def infi_ker_proj_equiv {I J : set ι} [decidable_pred (λi, i ∈ I)]
(hd : disjoint I J) (hu : set.univ ⊆ I ∪ J) :
(⨅i ∈ J, ker (proj i) : submodule R (Πi, φ i)) ≃ₗ[R] (Πi:I, φ i) :=
begin
refine linear_equiv.of_linear
(pi $ λi, (proj (i:ι)).comp (submodule.subtype _))
(cod_restrict _ (pi $ λi, if h : i ∈ I then proj (⟨i, h⟩ : I) else 0) _) _ _,
{ assume b,
simp only [mem_infi, mem_ker, funext_iff, proj_apply, pi_apply],
assume j hjJ,
have : j ∉ I := assume hjI, hd ⟨hjI, hjJ⟩,
rw [dif_neg this, zero_apply] },
{ simp only [pi_comp, comp_assoc, subtype_comp_cod_restrict, proj_pi, dif_pos, subtype.coe_prop],
ext b ⟨j, hj⟩, refl },
{ ext1 ⟨b, hb⟩,
apply subtype.ext,
ext j,
have hb : ∀i ∈ J, b i = 0,
{ simpa only [mem_infi, mem_ker, proj_apply] using (mem_infi _).1 hb },
simp only [comp_apply, pi_apply, id_apply, proj_apply, subtype_apply, cod_restrict_apply],
split_ifs,
{ refl },
{ exact (hb _ $ (hu trivial).resolve_left h).symm } }
end
end
section
variable [decidable_eq ι]
/-- `diag i j` is the identity map if `i = j`. Otherwise it is the constant 0 map. -/
def diag (i j : ι) : φ i →ₗ[R] φ j :=
@function.update ι (λj, φ i →ₗ[R] φ j) _ 0 i id j
lemma update_apply (f : Πi, M₂ →ₗ[R] φ i) (c : M₂) (i j : ι) (b : M₂ →ₗ[R] φ i) :
(update f i b j) c = update (λi, f i c) i (b c) j :=
begin
by_cases j = i,
{ rw [h, update_same, update_same] },
{ rw [update_noteq h, update_noteq h] }
end
end
section
variable [decidable_eq ι]
variables (R φ)
/-- The standard basis of the product of `φ`. -/
def std_basis (i : ι) : φ i →ₗ[R] (Πi, φ i) := pi (diag i)
lemma std_basis_apply (i : ι) (b : φ i) : std_basis R φ i b = update 0 i b :=
by ext j; rw [std_basis, pi_apply, diag, update_apply]; refl
@[simp] lemma std_basis_same (i : ι) (b : φ i) : std_basis R φ i b i = b :=
by rw [std_basis_apply, update_same]
lemma std_basis_ne (i j : ι) (h : j ≠ i) (b : φ i) : std_basis R φ i b j = 0 :=
by rw [std_basis_apply, update_noteq h]; refl
lemma ker_std_basis (i : ι) : ker (std_basis R φ i) = ⊥ :=
ker_eq_bot_of_injective $ assume f g hfg,
have std_basis R φ i f i = std_basis R φ i g i := hfg ▸ rfl,
by simpa only [std_basis_same]
lemma proj_comp_std_basis (i j : ι) : (proj i).comp (std_basis R φ j) = diag j i :=
by rw [std_basis, proj_pi]
lemma proj_std_basis_same (i : ι) : (proj i).comp (std_basis R φ i) = id :=
by ext b; simp
lemma proj_std_basis_ne (i j : ι) (h : i ≠ j) : (proj i).comp (std_basis R φ j) = 0 :=
by ext b; simp [std_basis_ne R φ _ _ h]
lemma supr_range_std_basis_le_infi_ker_proj (I J : set ι) (h : disjoint I J) :
(⨆i∈I, range (std_basis R φ i)) ≤ (⨅i∈J, ker (proj i)) :=
begin
refine (supr_le $ assume i, supr_le $ assume hi, range_le_iff_comap.2 _),
simp only [(ker_comp _ _).symm, eq_top_iff, le_def', mem_ker, comap_infi, mem_infi],
assume b hb j hj,
have : i ≠ j := assume eq, h ⟨hi, eq.symm ▸ hj⟩,
rw [proj_std_basis_ne R φ j i this.symm, zero_apply]
end
lemma infi_ker_proj_le_supr_range_std_basis {I : finset ι} {J : set ι} (hu : set.univ ⊆ ↑I ∪ J) :
(⨅ i∈J, ker (proj i)) ≤ (⨆i∈I, range (std_basis R φ i)) :=
submodule.le_def'.2
begin
assume b hb,
simp only [mem_infi, mem_ker, proj_apply] at hb,
rw ← show ∑ i in I, std_basis R φ i (b i) = b,
{ ext i,
rw [finset.sum_apply, ← std_basis_same R φ i (b i)],
refine finset.sum_eq_single i (assume j hjI ne, std_basis_ne _ _ _ _ ne.symm _) _,
assume hiI,
rw [std_basis_same],
exact hb _ ((hu trivial).resolve_left hiI) },
exact sum_mem _ (assume i hiI, mem_supr_of_mem i $ mem_supr_of_mem hiI $
(std_basis R φ i).mem_range_self (b i))
end
lemma supr_range_std_basis_eq_infi_ker_proj {I J : set ι}
(hd : disjoint I J) (hu : set.univ ⊆ I ∪ J) (hI : set.finite I) :
(⨆i∈I, range (std_basis R φ i)) = (⨅i∈J, ker (proj i)) :=
begin
refine le_antisymm (supr_range_std_basis_le_infi_ker_proj _ _ _ _ hd) _,
have : set.univ ⊆ ↑hI.to_finset ∪ J, { rwa [hI.coe_to_finset] },
refine le_trans (infi_ker_proj_le_supr_range_std_basis R φ this) (supr_le_supr $ assume i, _),
rw [set.finite.mem_to_finset],
exact le_refl _
end
lemma supr_range_std_basis [fintype ι] : (⨆i:ι, range (std_basis R φ i)) = ⊤ :=
have (set.univ : set ι) ⊆ ↑(finset.univ : finset ι) ∪ ∅ := by rw [finset.coe_univ, set.union_empty],
begin
apply top_unique,
convert (infi_ker_proj_le_supr_range_std_basis R φ this),
exact infi_emptyset.symm,
exact (funext $ λi, (@supr_pos _ _ _ (λh, range (std_basis R φ i)) $ finset.mem_univ i).symm)
end
lemma disjoint_std_basis_std_basis (I J : set ι) (h : disjoint I J) :
disjoint (⨆i∈I, range (std_basis R φ i)) (⨆i∈J, range (std_basis R φ i)) :=
begin
refine disjoint.mono
(supr_range_std_basis_le_infi_ker_proj _ _ _ _ $ set.disjoint_compl_right I)
(supr_range_std_basis_le_infi_ker_proj _ _ _ _ $ set.disjoint_compl_right J) _,
simp only [disjoint, submodule.le_def', mem_infi, mem_inf, mem_ker, mem_bot, proj_apply,
funext_iff],
rintros b ⟨hI, hJ⟩ i,
classical,
by_cases hiI : i ∈ I,
{ by_cases hiJ : i ∈ J,
{ exact (h ⟨hiI, hiJ⟩).elim },
{ exact hJ i hiJ } },
{ exact hI i hiI }
end
lemma std_basis_eq_single {a : R} :
(λ (i : ι), (std_basis R (λ _ : ι, R) i) a) = λ (i : ι), (finsupp.single i a) :=
begin
ext i j,
rw [std_basis_apply, finsupp.single_apply],
split_ifs,
{ rw [h, function.update_same] },
{ rw [function.update_noteq (ne.symm h)], refl },
end
end
end pi
section fun_left
variables (R M) [semiring R] [add_comm_monoid M] [semimodule R M]
variables {m n p : Type*}
/-- Given an `R`-module `M` and a function `m → n` between arbitrary types,
construct a linear map `(n → M) →ₗ[R] (m → M)` -/
def fun_left (f : m → n) : (n → M) →ₗ[R] (m → M) :=
mk (∘f) (λ _ _, rfl) (λ _ _, rfl)
@[simp] theorem fun_left_apply (f : m → n) (g : n → M) (i : m) : fun_left R M f g i = g (f i) :=
rfl
@[simp] theorem fun_left_id (g : n → M) : fun_left R M _root_.id g = g :=
rfl
theorem fun_left_comp (f₁ : n → p) (f₂ : m → n) :
fun_left R M (f₁ ∘ f₂) = (fun_left R M f₂).comp (fun_left R M f₁) :=
rfl
/-- Given an `R`-module `M` and an equivalence `m ≃ n` between arbitrary types,
construct a linear equivalence `(n → M) ≃ₗ[R] (m → M)` -/
def fun_congr_left (e : m ≃ n) : (n → M) ≃ₗ[R] (m → M) :=
linear_equiv.of_linear (fun_left R M e) (fun_left R M e.symm)
(ext $ λ x, funext $ λ i,
by rw [id_apply, ← fun_left_comp, equiv.symm_comp_self, fun_left_id])
(ext $ λ x, funext $ λ i,
by rw [id_apply, ← fun_left_comp, equiv.self_comp_symm, fun_left_id])
@[simp] theorem fun_congr_left_apply (e : m ≃ n) (x : n → M) :
fun_congr_left R M e x = fun_left R M e x :=
rfl
@[simp] theorem fun_congr_left_id :
fun_congr_left R M (equiv.refl n) = linear_equiv.refl R (n → M) :=
rfl
@[simp] theorem fun_congr_left_comp (e₁ : m ≃ n) (e₂ : n ≃ p) :
fun_congr_left R M (equiv.trans e₁ e₂) =
linear_equiv.trans (fun_congr_left R M e₂) (fun_congr_left R M e₁) :=
rfl
@[simp] lemma fun_congr_left_symm (e : m ≃ n) :
(fun_congr_left R M e).symm = fun_congr_left R M e.symm :=
rfl
end fun_left
universe i
variables [semiring R] [add_comm_monoid M] [semimodule R M]
variables (R M)
instance automorphism_group : group (M ≃ₗ[R] M) :=
{ mul := λ f g, g.trans f,
one := linear_equiv.refl R M,
inv := λ f, f.symm,
mul_assoc := λ f g h, by {ext, refl},
mul_one := λ f, by {ext, refl},
one_mul := λ f, by {ext, refl},
mul_left_inv := λ f, by {ext, exact f.left_inv x} }
instance automorphism_group.to_linear_map_is_monoid_hom :
is_monoid_hom (linear_equiv.to_linear_map : (M ≃ₗ[R] M) → (M →ₗ[R] M)) :=
{ map_one := rfl,
map_mul := λ f g, rfl }
/-- The group of invertible linear maps from `M` to itself -/
@[reducible] def general_linear_group := units (M →ₗ[R] M)
namespace general_linear_group
variables {R M}
instance : has_coe_to_fun (general_linear_group R M) := by apply_instance
/-- An invertible linear map `f` determines an equivalence from `M` to itself. -/
def to_linear_equiv (f : general_linear_group R M) : (M ≃ₗ[R] M) :=
{ inv_fun := f.inv.to_fun,
left_inv := λ m, show (f.inv * f.val) m = m,
by erw f.inv_val; simp,
right_inv := λ m, show (f.val * f.inv) m = m,
by erw f.val_inv; simp,
..f.val }
/-- An equivalence from `M` to itself determines an invertible linear map. -/
def of_linear_equiv (f : (M ≃ₗ[R] M)) : general_linear_group R M :=
{ val := f,
inv := f.symm,
val_inv := linear_map.ext $ λ _, f.apply_symm_apply _,
inv_val := linear_map.ext $ λ _, f.symm_apply_apply _ }
variables (R M)
/-- The general linear group on `R` and `M` is multiplicatively equivalent to the type of linear
equivalences between `M` and itself. -/
def general_linear_equiv : general_linear_group R M ≃* (M ≃ₗ[R] M) :=
{ to_fun := to_linear_equiv,
inv_fun := of_linear_equiv,
left_inv := λ f, by { ext, refl },
right_inv := λ f, by { ext, refl },
map_mul' := λ x y, by {ext, refl} }
@[simp] lemma general_linear_equiv_to_linear_map (f : general_linear_group R M) :
(general_linear_equiv R M f : M →ₗ[R] M) = f :=
by {ext, refl}
end general_linear_group
end linear_map
|
286441be5d6030fdddb1e6192fa660b3cd83afec | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/combinatorsAndWF.lean | d8806787cbf0feb87cd1aed58c549c6718615973 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 3,749 | lean | def List.foldl_wf [SizeOf β] (bs : List β) (init : α) (f : α → (b : β) → sizeOf b < sizeOf bs → α) : α :=
go init bs (Nat.le_refl ..)
where
go (a : α) (cs : List β) (h : sizeOf cs ≤ sizeOf bs) : α :=
match cs with
| [] => a
| c :: cs =>
have : sizeOf c < sizeOf (c :: cs) := by simp_arith
-- TODO: simplify using linarith
have h₁ : sizeOf c < sizeOf bs := Nat.lt_of_lt_of_le this h
have : sizeOf cs + (sizeOf c + 1) = sizeOf c + sizeOf cs + 1 := by simp_arith
have : sizeOf cs ≤ sizeOf c + sizeOf cs + 1 := by rw [← this]; apply Nat.le_add_right
have h₂ : sizeOf cs ≤ sizeOf bs := by simp_arith at h; apply Nat.le_trans this h
go (f a c h₁) cs h₂
theorem List.foldl_wf_eq [SizeOf β] (bs : List β) (init : α) (f : α → β → α) : bs.foldl_wf init (fun a b _ => f a b) = bs.foldl f init := by
simp [List.foldl_wf]
have : (a : α) → (cs : List β) → (h : sizeOf cs ≤ sizeOf bs) → foldl_wf.go bs (fun a b _ => f a b) a cs h = cs.foldl f a := by
intro a cs h
induction cs generalizing a with simp [List.foldl_wf.go, List.foldl]
| cons c cs ih => simp [ih]
exact this init bs (Nat.le_refl ..)
inductive Expr where
| app (f : String) (args : List Expr)
| var (n : String)
-- TODO: `WF.lean` should replace `List.foldl` with `List.foldl_wf`, and then apply `List.foldl_wf_eq` when proving equation theorems.
@[simp] def Expr.numVars : Expr → Nat
| app f args => args.foldl_wf 0 fun sum arg h =>
-- TODO: linarith should prove the following proposition
-- TODO: decreasing_tactic should invoke `linarith`
have : sizeOf arg < 1 + sizeOf f + sizeOf args := Nat.lt_of_lt_of_le h (Nat.le_add_left ..)
sum + numVars arg
| var _ => 1
/-
TODO: we should have a new attribute for registering theorems such as `List.foldl_wf_eq` and `List.map_foldl_wf_eq`
Here is the steps missing in the `WF` module.
1- Replace functions such as `List.foldl` with their `_wf` version. Note that the new hypothesis is unused.
2- Use the current `WF` implementation. The `decreasing_tactic` must invoke `linarith` to be able to discharge the goals.
3- When generating equation lemmas, we first prove that the defined function is equal to the RHS containing the `_wf` function,
and then apply `_wf_eq` simp theorem to simplify.
-/
-- Example for step 3
theorem Expr.numVars_app_eq (f : String) (args : List Expr) : (Expr.app f args).numVars = args.foldl (fun sum arg => sum + arg.numVars) 0 := by
simp [numVars, List.foldl_wf_eq]
#eval Expr.app "f" [Expr.var "a", Expr.app "g" [Expr.var "b", Expr.var "c"]] |>.numVars
def List.map_wf [SizeOf α] (as : List α) (f : (a : α) → sizeOf a < sizeOf as → β) : List β :=
go as (Nat.le_refl ..)
where
go (cs : List α) (h : sizeOf cs ≤ sizeOf as) : List β :=
match cs with
| [] => []
| c :: cs =>
have : sizeOf c < sizeOf (c :: cs) := by simp_arith
-- TODO: simplify using linarith
have h₁ : sizeOf c < sizeOf as := Nat.lt_of_lt_of_le this h
have : sizeOf cs + (sizeOf c + 1) = sizeOf c + sizeOf cs + 1 := by simp_arith
have : sizeOf cs ≤ sizeOf c + sizeOf cs + 1 := by rw [← this]; apply Nat.le_add_right
have h₂ : sizeOf cs ≤ sizeOf as := by simp_arith at h; apply Nat.le_trans this h
f c h₁ :: go cs h₂
theorem List.map_wf_eq [SizeOf α] (as : List α) (f : α → β) : as.map_wf (fun a _ => f a) = as.map f := by
simp [List.map_wf]
have : (cs : List α) → (h : sizeOf cs ≤ sizeOf as) → map_wf.go as (fun a _ => f a) cs h = cs.map f := by
intro cs h
induction cs with simp [List.map_wf.go, List.map]
| cons c cs ih => simp [ih]
exact this as (Nat.le_refl ..)
|
ca7ce3808d4e59a4478a0b930d3cc761ad3e22b7 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/Lean3Lib/init/meta/interactive_base.lean | 8c65cde3859e380a03c391bcba83096a7cf9e545 | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 859 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.data.option.basic
import Mathlib.Lean3Lib.init.meta.lean.parser
import Mathlib.Lean3Lib.init.meta.tactic
import Mathlib.Lean3Lib.init.meta.has_reflect
universes l
namespace Mathlib
namespace interactive
/-- (parse p) as the parameter type of an interactive tactic will instruct the Lean parser
to run `p` when parsing the parameter and to pass the parsed value as an argument
to the tactic. -/
/-- A `loc` is either a 'wildcard', which means "everywhere", or a list of `option name`s. `none` means `target` and `some n` means `n` in the local context.-/
inductive loc
where
| wildcard : loc
| ns : List (Option name) → loc
|
cb0d2694e980653dc918bb66a6096fee785a8698 | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /hott/prop_trunc.hlean | 52b44412b60520fe4af3fd22b5d18d9dab4990d0 | [
"Apache-2.0"
] | permissive | soonhokong/lean-osx | 4a954262c780e404c1369d6c06516161d07fcb40 | 3670278342d2f4faa49d95b46d86642d7875b47c | refs/heads/master | 1,611,410,334,552 | 1,474,425,686,000 | 1,474,425,686,000 | 12,043,103 | 5 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 1,770 | hlean | /-
Copyright (c) 2015 Jakob von Raumer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jakob von Raumer, Floris van Doorn
Proof of the theorem that (is_trunc n A) is a mere proposition
We prove this here to avoid circular dependency of files
We want to use this in .equiv; .equiv is imported by .function and .function is imported by .trunc
-/
import types.pi
open equiv sigma sigma.ops eq function pi
namespace is_trunc
definition is_contr.sigma_char (A : Type) :
(Σ (center : A), Π (a : A), center = a) ≃ (is_contr A) :=
begin
fapply equiv.MK,
{ intro S, exact (is_contr.mk S.1 S.2)},
{ intro H, cases H with H', cases H' with ce co, exact ⟨ce, co⟩},
{ intro H, cases H with H', cases H' with ce co, exact idp},
{ intro S, cases S, apply idp}
end
definition is_trunc.pi_char (n : trunc_index) (A : Type) :
(Π (x y : A), is_trunc n (x = y)) ≃ (is_trunc (n .+1) A) :=
begin
fapply equiv.MK,
{ intro H, apply is_trunc_succ_intro},
{ intro H x y, apply is_trunc_eq},
{ intro H, cases H, apply idp},
{ intro P, apply eq_of_homotopy, intro a, apply eq_of_homotopy, intro b,
change is_trunc.mk (to_internal n (a = b)) = P a b,
induction (P a b), apply idp},
end
definition is_prop_is_trunc [instance] (n : trunc_index) :
Π (A : Type), is_prop (is_trunc n A) :=
begin
induction n,
{ intro A,
apply is_trunc_is_equiv_closed,
{ apply equiv.to_is_equiv, apply is_contr.sigma_char},
apply is_prop.mk, intros,
fapply sigma_eq, apply x.2,
apply is_prop.elimo},
{ intro A,
apply is_trunc_is_equiv_closed,
apply equiv.to_is_equiv,
apply is_trunc.pi_char},
end
end is_trunc
|
75b06e4a1d80bfd6ec6056a207df3cc5b19bf909 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/category_theory/abelian/basic.lean | c42493076843ba9ef65bcc4f7d1f036e638acfff | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 31,585 | lean | /-
Copyright (c) 2020 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel, Johan Commelin, Scott Morrison
-/
import category_theory.limits.constructions.pullbacks
import category_theory.preadditive.biproducts
import category_theory.limits.shapes.images
import category_theory.limits.constructions.limits_of_products_and_equalizers
import category_theory.abelian.non_preadditive
/-!
# Abelian categories
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file contains the definition and basic properties of abelian categories.
There are many definitions of abelian category. Our definition is as follows:
A category is called abelian if it is preadditive,
has a finite products, kernels and cokernels,
and if every monomorphism and epimorphism is normal.
It should be noted that if we also assume coproducts, then preadditivity is
actually a consequence of the other properties, as we show in
`non_preadditive_abelian.lean`. However, this fact is of little practical
relevance, since essentially all interesting abelian categories come with a
preadditive structure. In this way, by requiring preadditivity, we allow the
user to pass in the "native" preadditive structure for the specific category they are
working with.
## Main definitions
* `abelian` is the type class indicating that a category is abelian. It extends `preadditive`.
* `abelian.image f` is `kernel (cokernel.π f)`, and
* `abelian.coimage f` is `cokernel (kernel.ι f)`.
## Main results
* In an abelian category, mono + epi = iso.
* If `f : X ⟶ Y`, then the map `factor_thru_image f : X ⟶ image f` is an epimorphism, and the map
`factor_thru_coimage f : coimage f ⟶ Y` is a monomorphism.
* Factoring through the image and coimage is a strong epi-mono factorisation. This means that
* every abelian category has images. We provide the isomorphism
`image_iso_image : abelian.image f ≅ limits.image f`.
* the canonical morphism `coimage_image_comparison : coimage f ⟶ image f`
is an isomorphism.
* We provide the alternate characterisation of an abelian category as a category with
(co)kernels and finite products, and in which the canonical coimage-image comparison morphism
is always an isomorphism.
* Every epimorphism is a cokernel of its kernel. Every monomorphism is a kernel of its cokernel.
* The pullback of an epimorphism is an epimorphism. The pushout of a monomorphism is a monomorphism.
(This is not to be confused with the fact that the pullback of a monomorphism is a monomorphism,
which is true in any category).
## Implementation notes
The typeclass `abelian` does not extend `non_preadditive_abelian`,
to avoid having to deal with comparing the two `has_zero_morphisms` instances
(one from `preadditive` in `abelian`, and the other a field of `non_preadditive_abelian`).
As a consequence, at the beginning of this file we trivially build
a `non_preadditive_abelian` instance from an `abelian` instance,
and use this to restate a number of theorems,
in each case just reusing the proof from `non_preadditive_abelian.lean`.
We don't show this yet, but abelian categories are finitely complete and finitely cocomplete.
However, the limits we can construct at this level of generality will most likely be less nice than
the ones that can be created in specific applications. For this reason, we adopt the following
convention:
* If the statement of a theorem involves limits, the existence of these limits should be made an
explicit typeclass parameter.
* If a limit only appears in a proof, but not in the statement of a theorem, the limit should not
be a typeclass parameter, but instead be created using `abelian.has_pullbacks` or a similar
definition.
## References
* [F. Borceux, *Handbook of Categorical Algebra 2*][borceux-vol2]
* [P. Aluffi, *Algebra: Chapter 0*][aluffi2016]
-/
noncomputable theory
open category_theory
open category_theory.preadditive
open category_theory.limits
universes v u
namespace category_theory
variables {C : Type u} [category.{v} C]
variables (C)
/--
A (preadditive) category `C` is called abelian if it has all finite products,
all kernels and cokernels, and if every monomorphism is the kernel of some morphism
and every epimorphism is the cokernel of some morphism.
(This definition implies the existence of zero objects:
finite products give a terminal object, and in a preadditive category
any terminal object is a zero object.)
-/
class abelian extends preadditive C, normal_mono_category C, normal_epi_category C :=
[has_finite_products : has_finite_products C]
[has_kernels : has_kernels C]
[has_cokernels : has_cokernels C]
attribute [instance, priority 100] abelian.has_finite_products
attribute [instance, priority 100] abelian.has_kernels abelian.has_cokernels
end category_theory
open category_theory
/-!
We begin by providing an alternative constructor:
a preadditive category with kernels, cokernels, and finite products,
in which the coimage-image comparison morphism is always an isomorphism,
is an abelian category.
-/
namespace category_theory.abelian
variables {C : Type u} [category.{v} C] [preadditive C]
variables [limits.has_kernels C] [limits.has_cokernels C]
namespace of_coimage_image_comparison_is_iso
/-- The factorisation of a morphism through its abelian image. -/
@[simps]
def image_mono_factorisation {X Y : C} (f : X ⟶ Y) : mono_factorisation f :=
{ I := abelian.image f,
m := kernel.ι _,
m_mono := infer_instance,
e := kernel.lift _ f (cokernel.condition _),
fac' := kernel.lift_ι _ _ _ }
lemma image_mono_factorisation_e' {X Y : C} (f : X ⟶ Y) :
(image_mono_factorisation f).e = cokernel.π _ ≫ abelian.coimage_image_comparison f :=
begin
ext,
simp only [abelian.coimage_image_comparison, image_mono_factorisation_e,
category.assoc, cokernel.π_desc_assoc],
end
/-- If the coimage-image comparison morphism for a morphism `f` is an isomorphism,
we obtain an image factorisation of `f`. -/
def image_factorisation {X Y : C} (f : X ⟶ Y) [is_iso (abelian.coimage_image_comparison f)] :
image_factorisation f :=
{ F := image_mono_factorisation f,
is_image :=
{ lift := λ F, inv (abelian.coimage_image_comparison f) ≫ cokernel.desc _ F.e F.kernel_ι_comp,
lift_fac' := λ F, begin
simp only [image_mono_factorisation_m, is_iso.inv_comp_eq, category.assoc,
abelian.coimage_image_comparison],
ext,
simp only [cokernel.π_desc_assoc, mono_factorisation.fac, image.fac],
end } }
instance [has_zero_object C] {X Y : C} (f : X ⟶ Y) [mono f]
[is_iso (abelian.coimage_image_comparison f)] :
is_iso (image_mono_factorisation f).e :=
by { rw image_mono_factorisation_e', exact is_iso.comp_is_iso }
instance [has_zero_object C] {X Y : C} (f : X ⟶ Y) [epi f] :
is_iso (image_mono_factorisation f).m :=
by { dsimp, apply_instance }
variables [∀ {X Y : C} (f : X ⟶ Y), is_iso (abelian.coimage_image_comparison f)]
/-- A category in which coimage-image comparisons are all isomorphisms has images. -/
lemma has_images : has_images C :=
{ has_image := λ X Y f,
{ exists_image := ⟨image_factorisation f⟩ } }
variables [limits.has_finite_products C]
local attribute [instance] limits.has_finite_biproducts.of_has_finite_products
/--
A category with finite products in which coimage-image comparisons are all isomorphisms
is a normal mono category.
-/
def normal_mono_category : normal_mono_category C :=
{ normal_mono_of_mono := λ X Y f m,
{ Z := _,
g := cokernel.π f,
w := by simp,
is_limit := begin
haveI : limits.has_images C := has_images,
haveI : has_equalizers C := preadditive.has_equalizers_of_has_kernels,
haveI : has_zero_object C := limits.has_zero_object_of_has_finite_biproducts _,
have aux : _ := _,
refine is_limit_aux _ (λ A, limit.lift _ _ ≫ inv (image_mono_factorisation f).e) aux _,
{ intros A g hg,
rw [kernel_fork.ι_of_ι] at hg,
rw [← cancel_mono f, hg, ← aux, kernel_fork.ι_of_ι], },
{ intro A,
simp only [kernel_fork.ι_of_ι, category.assoc],
convert limit.lift_π _ _ using 2,
rw [is_iso.inv_comp_eq, eq_comm],
exact (image_mono_factorisation f).fac, },
end }, }
/--
A category with finite products in which coimage-image comparisons are all isomorphisms
is a normal epi category.
-/
def normal_epi_category : normal_epi_category C :=
{ normal_epi_of_epi := λ X Y f m,
{ W := kernel f,
g := kernel.ι _,
w := kernel.condition _,
is_colimit := begin
haveI : limits.has_images C := has_images,
haveI : has_equalizers C := preadditive.has_equalizers_of_has_kernels,
haveI : has_zero_object C := limits.has_zero_object_of_has_finite_biproducts _,
have aux : _ := _,
refine is_colimit_aux _
(λ A, inv (image_mono_factorisation f).m ≫
inv (abelian.coimage_image_comparison f) ≫ colimit.desc _ _)
aux _,
{ intros A g hg,
rw [cokernel_cofork.π_of_π] at hg,
rw [← cancel_epi f, hg, ← aux, cokernel_cofork.π_of_π], },
{ intro A,
simp only [cokernel_cofork.π_of_π, ← category.assoc],
convert colimit.ι_desc _ _ using 2,
rw [is_iso.comp_inv_eq, is_iso.comp_inv_eq, eq_comm, ←image_mono_factorisation_e'],
exact (image_mono_factorisation f).fac, }
end }, }
end of_coimage_image_comparison_is_iso
variables [∀ {X Y : C} (f : X ⟶ Y), is_iso (abelian.coimage_image_comparison f)]
[limits.has_finite_products C]
local attribute [instance] of_coimage_image_comparison_is_iso.normal_mono_category
local attribute [instance] of_coimage_image_comparison_is_iso.normal_epi_category
/--
A preadditive category with kernels, cokernels, and finite products,
in which the coimage-image comparison morphism is always an isomorphism,
is an abelian category.
The Stacks project uses this characterisation at the definition of an abelian category.
See <https://stacks.math.columbia.edu/tag/0109>.
-/
def of_coimage_image_comparison_is_iso : abelian C := {}
end category_theory.abelian
namespace category_theory.abelian
variables {C : Type u} [category.{v} C] [abelian C]
/-- An abelian category has finite biproducts. -/
-- Porting note: this should be an instance,
-- but triggers https://github.com/leanprover/lean4/issues/2055
-- We set it as a local instance instead.
-- @[priority 100] instance
theorem has_finite_biproducts : has_finite_biproducts C :=
limits.has_finite_biproducts.of_has_finite_products
local attribute [instance] has_finite_biproducts
@[priority 100]
instance has_binary_biproducts : has_binary_biproducts C :=
limits.has_binary_biproducts_of_finite_biproducts _
@[priority 100]
instance has_zero_object : has_zero_object C :=
has_zero_object_of_has_initial_object
section to_non_preadditive_abelian
/-- Every abelian category is, in particular, `non_preadditive_abelian`. -/
def non_preadditive_abelian : non_preadditive_abelian C := { ..‹abelian C› }
end to_non_preadditive_abelian
section
/-! We now promote some instances that were constructed using `non_preadditive_abelian`. -/
local attribute [instance] non_preadditive_abelian
variables {P Q : C} (f : P ⟶ Q)
/-- The map `p : P ⟶ image f` is an epimorphism -/
instance : epi (abelian.factor_thru_image f) := by apply_instance
instance is_iso_factor_thru_image [mono f] : is_iso (abelian.factor_thru_image f) :=
by apply_instance
/-- The canonical morphism `i : coimage f ⟶ Q` is a monomorphism -/
instance : mono (abelian.factor_thru_coimage f) := by apply_instance
instance is_iso_factor_thru_coimage [epi f] : is_iso (abelian.factor_thru_coimage f) :=
by apply_instance
end
section factor
local attribute [instance] non_preadditive_abelian
variables {P Q : C} (f : P ⟶ Q)
section
lemma mono_of_kernel_ι_eq_zero (h : kernel.ι f = 0) : mono f :=
mono_of_kernel_zero h
lemma epi_of_cokernel_π_eq_zero (h : cokernel.π f = 0) : epi f :=
begin
apply normal_mono_category.epi_of_zero_cokernel _ (cokernel f),
simp_rw ←h,
exact is_colimit.of_iso_colimit (colimit.is_colimit (parallel_pair f 0)) (iso_of_π _)
end
end
section
variables {f}
lemma image_ι_comp_eq_zero {R : C} {g : Q ⟶ R} (h : f ≫ g = 0) : abelian.image.ι f ≫ g = 0 :=
zero_of_epi_comp (abelian.factor_thru_image f) $ by simp [h]
lemma comp_coimage_π_eq_zero {R : C} {g : Q ⟶ R} (h : f ≫ g = 0) : f ≫ abelian.coimage.π g = 0 :=
zero_of_comp_mono (abelian.factor_thru_coimage g) $ by simp [h]
end
/-- Factoring through the image is a strong epi-mono factorisation. -/
@[simps] def image_strong_epi_mono_factorisation : strong_epi_mono_factorisation f :=
{ I := abelian.image f,
m := image.ι f,
m_mono := by apply_instance,
e := abelian.factor_thru_image f,
e_strong_epi := strong_epi_of_epi _ }
/-- Factoring through the coimage is a strong epi-mono factorisation. -/
@[simps] def coimage_strong_epi_mono_factorisation : strong_epi_mono_factorisation f :=
{ I := abelian.coimage f,
m := abelian.factor_thru_coimage f,
m_mono := by apply_instance,
e := coimage.π f,
e_strong_epi := strong_epi_of_epi _ }
end factor
section has_strong_epi_mono_factorisations
/-- An abelian category has strong epi-mono factorisations. -/
@[priority 100] instance : has_strong_epi_mono_factorisations C :=
has_strong_epi_mono_factorisations.mk $ λ X Y f, image_strong_epi_mono_factorisation f
/- In particular, this means that it has well-behaved images. -/
example : has_images C := by apply_instance
example : has_image_maps C := by apply_instance
end has_strong_epi_mono_factorisations
section images
variables {X Y : C} (f : X ⟶ Y)
/--
The coimage-image comparison morphism is always an isomorphism in an abelian category.
See `category_theory.abelian.of_coimage_image_comparison_is_iso` for the converse.
-/
instance : is_iso (coimage_image_comparison f) :=
begin
convert is_iso.of_iso (is_image.iso_ext (coimage_strong_epi_mono_factorisation f).to_mono_is_image
(image_strong_epi_mono_factorisation f).to_mono_is_image),
ext,
change _ = _ ≫ (image_strong_epi_mono_factorisation f).m,
simp [-image_strong_epi_mono_factorisation_to_mono_factorisation_m]
end
/-- There is a canonical isomorphism between the abelian coimage and the abelian image of a
morphism. -/
abbreviation coimage_iso_image : abelian.coimage f ≅ abelian.image f :=
as_iso (coimage_image_comparison f)
/-- There is a canonical isomorphism between the abelian coimage and the categorical image of a
morphism. -/
abbreviation coimage_iso_image' : abelian.coimage f ≅ image f :=
is_image.iso_ext (coimage_strong_epi_mono_factorisation f).to_mono_is_image
(image.is_image f)
lemma coimage_iso_image'_hom :
(coimage_iso_image' f).hom = cokernel.desc _ (factor_thru_image f)
(by simp [←cancel_mono (limits.image.ι f)]) :=
begin
ext,
simp only [←cancel_mono (limits.image.ι f), is_image.iso_ext_hom, cokernel.π_desc, category.assoc,
is_image.lift_ι, coimage_strong_epi_mono_factorisation_to_mono_factorisation_m,
limits.image.fac],
end
lemma factor_thru_image_comp_coimage_iso_image'_inv :
factor_thru_image f ≫ (coimage_iso_image' f).inv = cokernel.π _ :=
by simp only [is_image.iso_ext_inv, image.is_image_lift, image.fac_lift,
coimage_strong_epi_mono_factorisation_to_mono_factorisation_e]
/-- There is a canonical isomorphism between the abelian image and the categorical image of a
morphism. -/
abbreviation image_iso_image : abelian.image f ≅ image f :=
is_image.iso_ext (image_strong_epi_mono_factorisation f).to_mono_is_image (image.is_image f)
lemma image_iso_image_hom_comp_image_ι :
(image_iso_image f).hom ≫ limits.image.ι _ = kernel.ι _ :=
by simp only [is_image.iso_ext_hom, is_image.lift_ι,
image_strong_epi_mono_factorisation_to_mono_factorisation_m]
lemma image_iso_image_inv :
(image_iso_image f).inv = kernel.lift _ (limits.image.ι f)
(by simp [←cancel_epi (factor_thru_image f)]) :=
begin
ext,
simp only [is_image.iso_ext_inv, image.is_image_lift, limits.image.fac_lift,
image_strong_epi_mono_factorisation_to_mono_factorisation_e, category.assoc,
kernel.lift_ι, limits.image.fac],
end
end images
section cokernel_of_kernel
variables {X Y : C} {f : X ⟶ Y}
local attribute [instance] non_preadditive_abelian
/-- In an abelian category, an epi is the cokernel of its kernel. More precisely:
If `f` is an epimorphism and `s` is some limit kernel cone on `f`, then `f` is a cokernel
of `fork.ι s`. -/
def epi_is_cokernel_of_kernel [epi f] (s : fork f 0) (h : is_limit s) :
is_colimit (cokernel_cofork.of_π f (kernel_fork.condition s)) :=
non_preadditive_abelian.epi_is_cokernel_of_kernel s h
/-- In an abelian category, a mono is the kernel of its cokernel. More precisely:
If `f` is a monomorphism and `s` is some colimit cokernel cocone on `f`, then `f` is a kernel
of `cofork.π s`. -/
def mono_is_kernel_of_cokernel [mono f] (s : cofork f 0) (h : is_colimit s) :
is_limit (kernel_fork.of_ι f (cokernel_cofork.condition s)) :=
non_preadditive_abelian.mono_is_kernel_of_cokernel s h
variables (f)
/-- In an abelian category, any morphism that turns to zero when precomposed with the kernel of an
epimorphism factors through that epimorphism. -/
def epi_desc [epi f] {T : C} (g : X ⟶ T) (hg : kernel.ι f ≫ g = 0) : Y ⟶ T :=
(epi_is_cokernel_of_kernel _ (limit.is_limit _)).desc (cokernel_cofork.of_π _ hg)
@[simp, reassoc]
lemma comp_epi_desc [epi f] {T : C} (g : X ⟶ T) (hg : kernel.ι f ≫ g = 0) :
f ≫ epi_desc f g hg = g :=
(epi_is_cokernel_of_kernel _ (limit.is_limit _)).fac (cokernel_cofork.of_π _ hg)
walking_parallel_pair.one
/-- In an abelian category, any morphism that turns to zero when postcomposed with the cokernel of a
monomorphism factors through that monomorphism. -/
def mono_lift [mono f] {T : C} (g : T ⟶ Y) (hg : g ≫ cokernel.π f = 0) : T ⟶ X :=
(mono_is_kernel_of_cokernel _ (colimit.is_colimit _)).lift (kernel_fork.of_ι _ hg)
@[simp, reassoc]
lemma mono_lift_comp [mono f] {T : C} (g : T ⟶ Y) (hg : g ≫ cokernel.π f = 0) :
mono_lift f g hg ≫ f = g :=
(mono_is_kernel_of_cokernel _ (colimit.is_colimit _)).fac (kernel_fork.of_ι _ hg)
walking_parallel_pair.zero
end cokernel_of_kernel
section
@[priority 100]
instance has_equalizers : has_equalizers C :=
preadditive.has_equalizers_of_has_kernels
/-- Any abelian category has pullbacks -/
@[priority 100]
instance has_pullbacks : has_pullbacks C :=
has_pullbacks_of_has_binary_products_of_has_equalizers C
end
section
@[priority 100]
instance has_coequalizers : has_coequalizers C :=
preadditive.has_coequalizers_of_has_cokernels
/-- Any abelian category has pushouts -/
@[priority 100]
instance has_pushouts : has_pushouts C :=
has_pushouts_of_has_binary_coproducts_of_has_coequalizers C
@[priority 100]
instance has_finite_limits : has_finite_limits C :=
limits.has_finite_limits_of_has_equalizers_and_finite_products
@[priority 100]
instance has_finite_colimits : has_finite_colimits C :=
limits.has_finite_colimits_of_has_coequalizers_and_finite_coproducts
end
namespace pullback_to_biproduct_is_kernel
variables [limits.has_pullbacks C] {X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z)
/-! This section contains a slightly technical result about pullbacks and biproducts.
We will need it in the proof that the pullback of an epimorphism is an epimorpism. -/
/-- The canonical map `pullback f g ⟶ X ⊞ Y` -/
abbreviation pullback_to_biproduct : pullback f g ⟶ X ⊞ Y :=
biprod.lift pullback.fst pullback.snd
/-- The canonical map `pullback f g ⟶ X ⊞ Y` induces a kernel cone on the map
`biproduct X Y ⟶ Z` induced by `f` and `g`. A slightly more intuitive way to think of
this may be that it induces an equalizer fork on the maps induced by `(f, 0)` and
`(0, g)`. -/
abbreviation pullback_to_biproduct_fork : kernel_fork (biprod.desc f (-g)) :=
kernel_fork.of_ι (pullback_to_biproduct f g) $
by rw [biprod.lift_desc, comp_neg, pullback.condition, add_right_neg]
/-- The canonical map `pullback f g ⟶ X ⊞ Y` is a kernel of the map induced by
`(f, -g)`. -/
def is_limit_pullback_to_biproduct : is_limit (pullback_to_biproduct_fork f g) :=
fork.is_limit.mk _
(λ s, pullback.lift (fork.ι s ≫ biprod.fst) (fork.ι s ≫ biprod.snd) $
sub_eq_zero.1 $ by rw [category.assoc, category.assoc, ←comp_sub, sub_eq_add_neg, ←comp_neg,
←biprod.desc_eq, kernel_fork.condition s])
(λ s,
begin
ext; rw [fork.ι_of_ι, category.assoc],
{ rw [biprod.lift_fst, pullback.lift_fst] },
{ rw [biprod.lift_snd, pullback.lift_snd] }
end)
(λ s m h, by ext; simp [←h])
end pullback_to_biproduct_is_kernel
namespace biproduct_to_pushout_is_cokernel
variables [limits.has_pushouts C] {W X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z)
/-- The canonical map `Y ⊞ Z ⟶ pushout f g` -/
abbreviation biproduct_to_pushout : Y ⊞ Z ⟶ pushout f g :=
biprod.desc pushout.inl pushout.inr
/-- The canonical map `Y ⊞ Z ⟶ pushout f g` induces a cokernel cofork on the map
`X ⟶ Y ⊞ Z` induced by `f` and `-g`. -/
abbreviation biproduct_to_pushout_cofork : cokernel_cofork (biprod.lift f (-g)) :=
cokernel_cofork.of_π (biproduct_to_pushout f g) $
by rw [biprod.lift_desc, neg_comp, pushout.condition, add_right_neg]
/-- The cofork induced by the canonical map `Y ⊞ Z ⟶ pushout f g` is in fact a colimit cokernel
cofork. -/
def is_colimit_biproduct_to_pushout : is_colimit (biproduct_to_pushout_cofork f g) :=
cofork.is_colimit.mk _
(λ s, pushout.desc (biprod.inl ≫ cofork.π s) (biprod.inr ≫ cofork.π s) $
sub_eq_zero.1 $ by rw [←category.assoc, ←category.assoc, ←sub_comp, sub_eq_add_neg, ←neg_comp,
←biprod.lift_eq, cofork.condition s, zero_comp])
(λ s, by ext; simp)
(λ s m h, by ext; simp [←h] )
end biproduct_to_pushout_is_cokernel
section epi_pullback
variables [limits.has_pullbacks C] {W X Y Z : C} (f : X ⟶ Z) (g : Y ⟶ Z)
/-- In an abelian category, the pullback of an epimorphism is an epimorphism.
Proof from [aluffi2016, IX.2.3], cf. [borceux-vol2, 1.7.6] -/
instance epi_pullback_of_epi_f [epi f] : epi (pullback.snd : pullback f g ⟶ Y) :=
-- It will suffice to consider some morphism e : Y ⟶ R such that
-- pullback.snd ≫ e = 0 and show that e = 0.
epi_of_cancel_zero _ $ λ R e h,
begin
-- Consider the morphism u := (0, e) : X ⊞ Y⟶ R.
let u := biprod.desc (0 : X ⟶ R) e,
-- The composite pullback f g ⟶ X ⊞ Y ⟶ R is zero by assumption.
have hu : pullback_to_biproduct_is_kernel.pullback_to_biproduct f g ≫ u = 0 := by simpa,
-- pullback_to_biproduct f g is a kernel of (f, -g), so (f, -g) is a
-- cokernel of pullback_to_biproduct f g
have := epi_is_cokernel_of_kernel _
(pullback_to_biproduct_is_kernel.is_limit_pullback_to_biproduct f g),
-- We use this fact to obtain a factorization of u through (f, -g) via some d : Z ⟶ R.
obtain ⟨d, hd⟩ := cokernel_cofork.is_colimit.desc' this u hu,
change Z ⟶ R at d,
change biprod.desc f (-g) ≫ d = u at hd,
-- But then f ≫ d = 0:
have : f ≫ d = 0, calc
f ≫ d = (biprod.inl ≫ biprod.desc f (-g)) ≫ d : by rw biprod.inl_desc
... = biprod.inl ≫ u : by rw [category.assoc, hd]
... = 0 : biprod.inl_desc _ _,
-- But f is an epimorphism, so d = 0...
have : d = 0 := (cancel_epi f).1 (by simpa),
-- ...or, in other words, e = 0.
calc
e = biprod.inr ≫ u : by rw biprod.inr_desc
... = biprod.inr ≫ biprod.desc f (-g) ≫ d : by rw ←hd
... = biprod.inr ≫ biprod.desc f (-g) ≫ 0 : by rw this
... = (biprod.inr ≫ biprod.desc f (-g)) ≫ 0 : by rw ←category.assoc
... = 0 : has_zero_morphisms.comp_zero _ _
end
/-- In an abelian category, the pullback of an epimorphism is an epimorphism. -/
instance epi_pullback_of_epi_g [epi g] : epi (pullback.fst : pullback f g ⟶ X) :=
-- It will suffice to consider some morphism e : X ⟶ R such that
-- pullback.fst ≫ e = 0 and show that e = 0.
epi_of_cancel_zero _ $ λ R e h,
begin
-- Consider the morphism u := (e, 0) : X ⊞ Y ⟶ R.
let u := biprod.desc e (0 : Y ⟶ R),
-- The composite pullback f g ⟶ X ⊞ Y ⟶ R is zero by assumption.
have hu : pullback_to_biproduct_is_kernel.pullback_to_biproduct f g ≫ u = 0 := by simpa,
-- pullback_to_biproduct f g is a kernel of (f, -g), so (f, -g) is a
-- cokernel of pullback_to_biproduct f g
have := epi_is_cokernel_of_kernel _
(pullback_to_biproduct_is_kernel.is_limit_pullback_to_biproduct f g),
-- We use this fact to obtain a factorization of u through (f, -g) via some d : Z ⟶ R.
obtain ⟨d, hd⟩ := cokernel_cofork.is_colimit.desc' this u hu,
change Z ⟶ R at d,
change biprod.desc f (-g) ≫ d = u at hd,
-- But then (-g) ≫ d = 0:
have : (-g) ≫ d = 0, calc
(-g) ≫ d = (biprod.inr ≫ biprod.desc f (-g)) ≫ d : by rw biprod.inr_desc
... = biprod.inr ≫ u : by rw [category.assoc, hd]
... = 0 : biprod.inr_desc _ _,
-- But g is an epimorphism, thus so is -g, so d = 0...
have : d = 0 := (cancel_epi (-g)).1 (by simpa),
-- ...or, in other words, e = 0.
calc
e = biprod.inl ≫ u : by rw biprod.inl_desc
... = biprod.inl ≫ biprod.desc f (-g) ≫ d : by rw ←hd
... = biprod.inl ≫ biprod.desc f (-g) ≫ 0 : by rw this
... = (biprod.inl ≫ biprod.desc f (-g)) ≫ 0 : by rw ←category.assoc
... = 0 : has_zero_morphisms.comp_zero _ _
end
lemma epi_snd_of_is_limit [epi f] {s : pullback_cone f g} (hs : is_limit s) : epi s.snd :=
begin
convert epi_of_epi_fac (is_limit.cone_point_unique_up_to_iso_hom_comp (limit.is_limit _) hs _),
{ refl },
{ exact abelian.epi_pullback_of_epi_f _ _ }
end
lemma epi_fst_of_is_limit [epi g] {s : pullback_cone f g} (hs : is_limit s) : epi s.fst :=
begin
convert epi_of_epi_fac (is_limit.cone_point_unique_up_to_iso_hom_comp (limit.is_limit _) hs _),
{ refl },
{ exact abelian.epi_pullback_of_epi_g _ _ }
end
/-- Suppose `f` and `g` are two morphisms with a common codomain and suppose we have written `g` as
an epimorphism followed by a monomorphism. If `f` factors through the mono part of this
factorization, then any pullback of `g` along `f` is an epimorphism. -/
lemma epi_fst_of_factor_thru_epi_mono_factorization
(g₁ : Y ⟶ W) [epi g₁] (g₂ : W ⟶ Z) [mono g₂] (hg : g₁ ≫ g₂ = g) (f' : X ⟶ W) (hf : f' ≫ g₂ = f)
(t : pullback_cone f g) (ht : is_limit t) : epi t.fst :=
by apply epi_fst_of_is_limit _ _ (pullback_cone.is_limit_of_factors f g g₂ f' g₁ hf hg t ht)
end epi_pullback
section mono_pushout
variables [limits.has_pushouts C] {W X Y Z : C} (f : X ⟶ Y) (g : X ⟶ Z)
instance mono_pushout_of_mono_f [mono f] : mono (pushout.inr : Z ⟶ pushout f g) :=
mono_of_cancel_zero _ $ λ R e h,
begin
let u := biprod.lift (0 : R ⟶ Y) e,
have hu : u ≫ biproduct_to_pushout_is_cokernel.biproduct_to_pushout f g = 0 := by simpa,
have := mono_is_kernel_of_cokernel _
(biproduct_to_pushout_is_cokernel.is_colimit_biproduct_to_pushout f g),
obtain ⟨d, hd⟩ := kernel_fork.is_limit.lift' this u hu,
change R ⟶ X at d,
change d ≫ biprod.lift f (-g) = u at hd,
have : d ≫ f = 0, calc
d ≫ f = d ≫ biprod.lift f (-g) ≫ biprod.fst : by rw biprod.lift_fst
... = u ≫ biprod.fst : by rw [←category.assoc, hd]
... = 0 : biprod.lift_fst _ _,
have : d = 0 := (cancel_mono f).1 (by simpa),
calc
e = u ≫ biprod.snd : by rw biprod.lift_snd
... = (d ≫ biprod.lift f (-g)) ≫ biprod.snd : by rw ←hd
... = (0 ≫ biprod.lift f (-g)) ≫ biprod.snd : by rw this
... = 0 ≫ biprod.lift f (-g) ≫ biprod.snd : by rw category.assoc
... = 0 : zero_comp
end
instance mono_pushout_of_mono_g [mono g] : mono (pushout.inl : Y ⟶ pushout f g) :=
mono_of_cancel_zero _ $ λ R e h,
begin
let u := biprod.lift e (0 : R ⟶ Z),
have hu : u ≫ biproduct_to_pushout_is_cokernel.biproduct_to_pushout f g = 0 := by simpa,
have := mono_is_kernel_of_cokernel _
(biproduct_to_pushout_is_cokernel.is_colimit_biproduct_to_pushout f g),
obtain ⟨d, hd⟩ := kernel_fork.is_limit.lift' this u hu,
change R ⟶ X at d,
change d ≫ biprod.lift f (-g) = u at hd,
have : d ≫ (-g) = 0, calc
d ≫ (-g) = d ≫ biprod.lift f (-g) ≫ biprod.snd : by rw biprod.lift_snd
... = u ≫ biprod.snd : by rw [←category.assoc, hd]
... = 0 : biprod.lift_snd _ _,
have : d = 0 := (cancel_mono (-g)).1 (by simpa),
calc
e = u ≫ biprod.fst : by rw biprod.lift_fst
... = (d ≫ biprod.lift f (-g)) ≫ biprod.fst : by rw ←hd
... = (0 ≫ biprod.lift f (-g)) ≫ biprod.fst : by rw this
... = 0 ≫ biprod.lift f (-g) ≫ biprod.fst : by rw category.assoc
... = 0 : zero_comp
end
lemma mono_inr_of_is_colimit [mono f] {s : pushout_cocone f g} (hs : is_colimit s) : mono s.inr :=
begin
convert mono_of_mono_fac
(is_colimit.comp_cocone_point_unique_up_to_iso_hom hs (colimit.is_colimit _) _),
{ refl },
{ exact abelian.mono_pushout_of_mono_f _ _ }
end
lemma mono_inl_of_is_colimit [mono g] {s : pushout_cocone f g} (hs : is_colimit s) : mono s.inl :=
begin
convert mono_of_mono_fac
(is_colimit.comp_cocone_point_unique_up_to_iso_hom hs (colimit.is_colimit _) _),
{ refl },
{ exact abelian.mono_pushout_of_mono_g _ _ }
end
/-- Suppose `f` and `g` are two morphisms with a common domain and suppose we have written `g` as
an epimorphism followed by a monomorphism. If `f` factors through the epi part of this
factorization, then any pushout of `g` along `f` is a monomorphism. -/
lemma mono_inl_of_factor_thru_epi_mono_factorization (f : X ⟶ Y) (g : X ⟶ Z)
(g₁ : X ⟶ W) [epi g₁] (g₂ : W ⟶ Z) [mono g₂] (hg : g₁ ≫ g₂ = g) (f' : W ⟶ Y) (hf : g₁ ≫ f' = f)
(t : pushout_cocone f g) (ht : is_colimit t) : mono t.inl :=
by apply mono_inl_of_is_colimit _ _ (pushout_cocone.is_colimit_of_factors _ _ _ _ _ hf hg t ht)
end mono_pushout
end category_theory.abelian
namespace category_theory.non_preadditive_abelian
variables (C : Type u) [category.{v} C] [non_preadditive_abelian C]
/-- Every non_preadditive_abelian category can be promoted to an abelian category. -/
def abelian : abelian C :=
{ has_finite_products := by apply_instance,
/- We need the `convert`s here because the instances we have are slightly different from the
instances we need: `has_kernels` depends on an instance of `has_zero_morphisms`. In the
case of `non_preadditive_abelian`, this instance is an explicit argument. However, in the case
of `abelian`, the `has_zero_morphisms` instance is derived from `preadditive`. So we need to
transform an instance of "has kernels with non_preadditive_abelian.has_zero_morphisms" to an
instance of "has kernels with non_preadditive_abelian.preadditive.has_zero_morphisms". Luckily,
we have a `subsingleton` instance for `has_zero_morphisms`, so `convert` can immediately close
the goal it creates for the two instances of `has_zero_morphisms`, and the proof is complete. -/
has_kernels := by convert (by apply_instance : limits.has_kernels C),
has_cokernels := by convert (by apply_instance : limits.has_cokernels C),
normal_mono_of_mono := by { introsI, convert normal_mono_of_mono f },
normal_epi_of_epi := by { introsI, convert normal_epi_of_epi f },
..non_preadditive_abelian.preadditive }
end category_theory.non_preadditive_abelian
|
05345b3f4b09f311ee1f3abf55156a7462299ef3 | 36c7a18fd72e5b57229bd8ba36493daf536a19ce | /hott/cubical/squareover.hlean | b37c5065c5186ab2b85b67a3d80473149c313944 | [
"Apache-2.0"
] | permissive | YHVHvx/lean | 732bf0fb7a298cd7fe0f15d82f8e248c11db49e9 | 038369533e0136dd395dc252084d3c1853accbf2 | refs/heads/master | 1,610,701,080,210 | 1,449,128,595,000 | 1,449,128,595,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 15,653 | hlean | /-
Copyright (c) 2015 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Floris van Doorn
Squareovers
-/
import .square
open eq equiv is_equiv equiv.ops
namespace eq
-- we give the argument B explicitly, because Lean would find (λa, B a) by itself, which
-- makes the type uglier (of course the two terms are definitionally equal)
inductive squareover {A : Type} (B : A → Type) {a₀₀ : A} {b₀₀ : B a₀₀} :
Π{a₂₀ a₀₂ a₂₂ : A}
{p₁₀ : a₀₀ = a₂₀} {p₁₂ : a₀₂ = a₂₂} {p₀₁ : a₀₀ = a₀₂} {p₂₁ : a₂₀ = a₂₂}
(s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁)
{b₂₀ : B a₂₀} {b₀₂ : B a₀₂} {b₂₂ : B a₂₂}
(q₁₀ : pathover B b₀₀ p₁₀ b₂₀) (q₁₂ : pathover B b₀₂ p₁₂ b₂₂)
(q₀₁ : pathover B b₀₀ p₀₁ b₀₂) (q₂₁ : pathover B b₂₀ p₂₁ b₂₂),
Type :=
idsquareo : squareover B ids idpo idpo idpo idpo
variables {A A' : Type} {B : A → Type}
{a a' a'' a₀₀ a₂₀ a₄₀ a₀₂ a₂₂ a₂₄ a₀₄ a₄₂ a₄₄ : A}
/-a₀₀-/ {p₁₀ : a₀₀ = a₂₀} /-a₂₀-/ {p₃₀ : a₂₀ = a₄₀} /-a₄₀-/
{p₀₁ : a₀₀ = a₀₂} /-s₁₁-/ {p₂₁ : a₂₀ = a₂₂} /-s₃₁-/ {p₄₁ : a₄₀ = a₄₂}
/-a₀₂-/ {p₁₂ : a₀₂ = a₂₂} /-a₂₂-/ {p₃₂ : a₂₂ = a₄₂} /-a₄₂-/
{p₀₃ : a₀₂ = a₀₄} /-s₁₃-/ {p₂₃ : a₂₂ = a₂₄} /-s₃₃-/ {p₄₃ : a₄₂ = a₄₄}
/-a₀₄-/ {p₁₄ : a₀₄ = a₂₄} /-a₂₄-/ {p₃₄ : a₂₄ = a₄₄} /-a₄₄-/
{s₁₁ : square p₁₀ p₁₂ p₀₁ p₂₁} {s₃₁ : square p₃₀ p₃₂ p₂₁ p₄₁}
{s₁₃ : square p₁₂ p₁₄ p₀₃ p₂₃} {s₃₃ : square p₃₂ p₃₄ p₂₃ p₄₃}
{b₀₀ : B a₀₀} {b₂₀ : B a₂₀} {b₄₀ : B a₄₀}
{b₀₂ : B a₀₂} {b₂₂ : B a₂₂} {b₄₂ : B a₄₂}
{b₀₄ : B a₀₄} {b₂₄ : B a₂₄} {b₄₄ : B a₄₄}
/-b₀₀-/ {q₁₀ : b₀₀ =[p₁₀] b₂₀} /-b₂₀-/ {q₃₀ : b₂₀ =[p₃₀] b₄₀} /-b₄₀-/
{q₀₁ : b₀₀ =[p₀₁] b₀₂} /-t₁₁-/ {q₂₁ : b₂₀ =[p₂₁] b₂₂} /-t₃₁-/ {q₄₁ : b₄₀ =[p₄₁] b₄₂}
/-b₀₂-/ {q₁₂ : b₀₂ =[p₁₂] b₂₂} /-b₂₂-/ {q₃₂ : b₂₂ =[p₃₂] b₄₂} /-b₄₂-/
{q₀₃ : b₀₂ =[p₀₃] b₀₄} /-t₁₃-/ {q₂₃ : b₂₂ =[p₂₃] b₂₄} /-t₃₃-/ {q₄₃ : b₄₂ =[p₄₃] b₄₄}
/-b₀₄-/ {q₁₄ : b₀₄ =[p₁₄] b₂₄} /-b₂₄-/ {q₃₄ : b₂₄ =[p₃₄] b₄₄} /-b₄₄-/
definition squareo := @squareover A B a₀₀
definition idsquareo [reducible] [constructor] (b₀₀ : B a₀₀) := @squareover.idsquareo A B a₀₀ b₀₀
definition idso [reducible] [constructor] := @squareover.idsquareo A B a₀₀ b₀₀
definition apds (f : Πa, B a) (s : square p₁₀ p₁₂ p₀₁ p₂₁)
: squareover B s (apdo f p₁₀) (apdo f p₁₂) (apdo f p₀₁) (apdo f p₂₁) :=
square.rec_on s idso
definition vrflo : squareover B vrfl q₁₀ q₁₀ idpo idpo :=
by induction q₁₀; exact idso
definition hrflo : squareover B hrfl idpo idpo q₁₀ q₁₀ :=
by induction q₁₀; exact idso
definition vdeg_squareover {p₁₀'} {s : p₁₀ = p₁₀'} {q₁₀' : b₀₀ =[p₁₀'] b₂₀}
(r : change_path s q₁₀ = q₁₀')
: squareover B (vdeg_square s) q₁₀ q₁₀' idpo idpo :=
by induction s; esimp at *; induction r; exact vrflo
definition hdeg_squareover {p₀₁'} {s : p₀₁ = p₀₁'} {q₀₁' : b₀₀ =[p₀₁'] b₀₂}
(r : change_path s q₀₁ = q₀₁')
: squareover B (hdeg_square s) idpo idpo q₀₁ q₀₁' :=
by induction s; esimp at *; induction r; exact hrflo
definition hconcato
(t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁) (t₃₁ : squareover B s₃₁ q₃₀ q₃₂ q₂₁ q₄₁)
: squareover B (hconcat s₁₁ s₃₁) (q₁₀ ⬝o q₃₀) (q₁₂ ⬝o q₃₂) q₀₁ q₄₁ :=
by induction t₃₁; exact t₁₁
definition vconcato
(t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁) (t₁₃ : squareover B s₁₃ q₁₂ q₁₄ q₀₃ q₂₃)
: squareover B (vconcat s₁₁ s₁₃) q₁₀ q₁₄ (q₀₁ ⬝o q₀₃) (q₂₁ ⬝o q₂₃) :=
by induction t₁₃; exact t₁₁
definition hinverseo (t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁)
: squareover B (hinverse s₁₁) q₁₀⁻¹ᵒ q₁₂⁻¹ᵒ q₂₁ q₀₁ :=
by induction t₁₁; constructor
definition vinverseo (t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁)
: squareover B (vinverse s₁₁) q₁₂ q₁₀ q₀₁⁻¹ᵒ q₂₁⁻¹ᵒ :=
by induction t₁₁; constructor
definition eq_vconcato {q : b₀₀ =[p₁₀] b₂₀}
(r : q = q₁₀) (t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁) : squareover B s₁₁ q q₁₂ q₀₁ q₂₁ :=
by induction r; exact t₁₁
definition vconcato_eq {q : b₀₂ =[p₁₂] b₂₂}
(t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁) (r : q₁₂ = q) : squareover B s₁₁ q₁₀ q q₀₁ q₂₁ :=
by induction r; exact t₁₁
definition eq_hconcato {q : b₀₀ =[p₀₁] b₀₂}
(r : q = q₀₁) (t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁) : squareover B s₁₁ q₁₀ q₁₂ q q₂₁ :=
by induction r; exact t₁₁
definition hconcato_eq {q : b₂₀ =[p₂₁] b₂₂}
(t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁) (r : q₂₁ = q) : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q :=
by induction r; exact t₁₁
definition pathover_vconcato {p : a₀₀ = a₂₀} {sp : p = p₁₀} {q : b₀₀ =[p] b₂₀}
(r : change_path sp q = q₁₀) (t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁)
: squareover B (sp ⬝pv s₁₁) q q₁₂ q₀₁ q₂₁ :=
by induction sp; induction r; exact t₁₁
definition vconcato_pathover {p : a₀₂ = a₂₂} {sp : p₁₂ = p} {q : b₀₂ =[p] b₂₂}
(t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁) (r : change_path sp q₁₂ = q)
: squareover B (s₁₁ ⬝vp sp) q₁₀ q q₀₁ q₂₁ :=
by induction sp; induction r; exact t₁₁
definition pathover_hconcato {p : a₀₀ = a₀₂} {sp : p = p₀₁} {q : b₀₀ =[p] b₀₂}
(r : change_path sp q = q₀₁) (t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁) :
squareover B (sp ⬝ph s₁₁) q₁₀ q₁₂ q q₂₁ :=
by induction sp; induction r; exact t₁₁
definition hconcato_pathover {p : a₂₀ = a₂₂} {sp : p₂₁ = p} {q : b₂₀ =[p] b₂₂}
(t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁) (r : change_path sp q₂₁ = q) :
squareover B (s₁₁ ⬝hp sp) q₁₀ q₁₂ q₀₁ q :=
by induction sp; induction r; exact t₁₁
-- relating squareovers to squares
definition square_of_squareover (t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁) :
square (!con_tr ⬝ ap (λa, p₂₁ ▸ a) (tr_eq_of_pathover q₁₀))
(tr_eq_of_pathover q₁₂)
(ap (λq, q ▸ b₀₀) (eq_of_square s₁₁) ⬝ !con_tr ⬝ ap (λa, p₁₂ ▸ a) (tr_eq_of_pathover q₀₁))
(tr_eq_of_pathover q₂₁) :=
by induction t₁₁; esimp; constructor
/-
definition squareover_of_square
(q : square (!con_tr ⬝ ap (λa, p₂₁ ▸ a) (tr_eq_of_pathover q₁₀))
(tr_eq_of_pathover q₁₂)
(ap (λq, q ▸ b₀₀) (eq_of_square s₁₁) ⬝ !con_tr ⬝ ap (λa, p₁₂ ▸ a) (tr_eq_of_pathover q₀₁))
(tr_eq_of_pathover q₂₁))
: squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁ :=
sorry
-/
definition square_of_squareover_ids {b₀₀ b₀₂ b₂₀ b₂₂ : B a}
{t : b₀₀ = b₂₀} {b : b₀₂ = b₂₂} {l : b₀₀ = b₀₂} {r : b₂₀ = b₂₂}
(so : squareover B ids (pathover_idp_of_eq t)
(pathover_idp_of_eq b)
(pathover_idp_of_eq l)
(pathover_idp_of_eq r)) : square t b l r :=
begin
let H := square_of_squareover so, -- use apply ... in
rewrite [▸* at H,+idp_con at H,+ap_id at H,↑pathover_idp_of_eq at H],
rewrite [+to_right_inv !(pathover_equiv_tr_eq (refl a)) at H],
exact H
end
definition squareover_ids_of_square {b₀₀ b₀₂ b₂₀ b₂₂ : B a}
{t : b₀₀ = b₂₀} {b : b₀₂ = b₂₂} {l : b₀₀ = b₀₂} {r : b₂₀ = b₂₂} (q : square t b l r)
: squareover B ids (pathover_idp_of_eq t)
(pathover_idp_of_eq b)
(pathover_idp_of_eq l)
(pathover_idp_of_eq r) :=
square.rec_on q idso
-- relating pathovers to squareovers
definition pathover_of_squareover' (t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁)
: q₁₀ ⬝o q₂₁ =[eq_of_square s₁₁] q₀₁ ⬝o q₁₂ :=
by induction t₁₁; constructor
definition pathover_of_squareover {s : p₁₀ ⬝ p₂₁ = p₀₁ ⬝ p₁₂}
(t₁₁ : squareover B (square_of_eq s) q₁₀ q₁₂ q₀₁ q₂₁)
: q₁₀ ⬝o q₂₁ =[s] q₀₁ ⬝o q₁₂ :=
begin
revert s t₁₁, refine equiv_rect' !square_equiv_eq⁻¹ᵉ (λa b, squareover B b _ _ _ _ → _) _,
intro s, exact pathover_of_squareover'
end
definition squareover_of_pathover {s : p₁₀ ⬝ p₂₁ = p₀₁ ⬝ p₁₂}
(r : q₁₀ ⬝o q₂₁ =[s] q₀₁ ⬝o q₁₂) : squareover B (square_of_eq s) q₁₀ q₁₂ q₀₁ q₂₁ :=
by induction q₁₂; esimp [concato] at r;induction r;induction q₂₁;induction q₁₀;constructor
definition pathover_top_of_squareover (t₁₁ : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁)
: q₁₀ =[eq_top_of_square s₁₁] q₀₁ ⬝o q₁₂ ⬝o q₂₁⁻¹ᵒ :=
by induction t₁₁; constructor
definition squareover_of_pathover_top {s : p₁₀ = p₀₁ ⬝ p₁₂ ⬝ p₂₁⁻¹}
(r : q₁₀ =[s] q₀₁ ⬝o q₁₂ ⬝o q₂₁⁻¹ᵒ)
: squareover B (square_of_eq_top s) q₁₀ q₁₂ q₀₁ q₂₁ :=
by induction q₂₁; induction q₁₂; esimp at r;induction r;induction q₁₀;constructor
definition pathover_of_hdeg_squareover {p₀₁' : a₀₀ = a₀₂} {r : p₀₁ = p₀₁'} {q₀₁' : b₀₀ =[p₀₁'] b₀₂}
(t : squareover B (hdeg_square r) idpo idpo q₀₁ q₀₁') : q₀₁ =[r] q₀₁' :=
by induction r; induction q₀₁'; exact (pathover_of_squareover' t)⁻¹ᵒ
definition pathover_of_vdeg_squareover {p₁₀' : a₀₀ = a₂₀} {r : p₁₀ = p₁₀'} {q₁₀' : b₀₀ =[p₁₀'] b₂₀}
(t : squareover B (vdeg_square r) q₁₀ q₁₀' idpo idpo) : q₁₀ =[r] q₁₀' :=
by induction r; induction q₁₀'; exact pathover_of_squareover' t
definition squareover_of_eq_top (r : change_path (eq_top_of_square s₁₁) q₁₀ = q₀₁ ⬝o q₁₂ ⬝o q₂₁⁻¹ᵒ)
: squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁ :=
begin
induction s₁₁, revert q₁₂ q₁₀ r,
eapply idp_rec_on q₂₁, clear q₂₁,
intro q₁₂,
eapply idp_rec_on q₁₂, clear q₁₂,
esimp, intros,
induction r, eapply idp_rec_on q₁₀,
constructor
end
definition eq_top_of_squareover (r : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁)
: change_path (eq_top_of_square s₁₁) q₁₀ = q₀₁ ⬝o q₁₂ ⬝o q₂₁⁻¹ᵒ :=
by induction r; reflexivity
definition change_square {s₁₁'} (p : s₁₁ = s₁₁') (r : squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁)
: squareover B s₁₁' q₁₀ q₁₂ q₀₁ q₂₁ :=
p ▸ r
/-
definition squareover_equiv_pathover (q₁₀ : b₀₀ =[p₁₀] b₂₀) (q₁₂ : b₀₂ =[p₁₂] b₂₂)
(q₀₁ : b₀₀ =[p₀₁] b₀₂) (q₂₁ : b₂₀ =[p₂₁] b₂₂)
: squareover B s₁₁ q₁₀ q₁₂ q₀₁ q₂₁ ≃ q₁₀ ⬝o q₂₁ =[eq_of_square s₁₁] q₀₁ ⬝o q₁₂ :=
begin
fapply equiv.MK,
{ exact pathover_of_squareover},
{ intro r, rewrite [-to_left_inv !square_equiv_eq s₁₁], apply squareover_of_pathover, exact r},
{ intro r, }, --need characterization of squareover lying over ids.
{ intro s, induction s, apply idp},
end
-/
definition eq_of_vdeg_squareover {q₁₀' : b₀₀ =[p₁₀] b₂₀}
(p : squareover B vrfl q₁₀ q₁₀' idpo idpo) : q₁₀ = q₁₀' :=
begin
let H := square_of_squareover p, -- use apply ... in
induction p₁₀, -- if needed we can remove this induction and use con_tr_idp in types/eq2
rewrite [▸* at H,idp_con at H,+ap_id at H],
let H' := eq_of_vdeg_square H,
exact eq_of_fn_eq_fn !pathover_equiv_tr_eq H'
end
-- definition vdeg_tr_squareover {q₁₂ : p₀₁ ▸ b₀₀ =[p₁₂] p₂₁ ▸ b₂₀} (r : q₁₀ =[_] q₁₂)
-- : squareover B s₁₁ q₁₀ q₁₂ !pathover_tr !pathover_tr :=
-- by induction p;exact vrflo
/- A version of eq_pathover where the type of the equality also varies -/
definition eq_pathover_dep {f g : Πa, B a} {p : a = a'} {q : f a = g a}
{r : f a' = g a'} (s : squareover B hrfl (pathover_idp_of_eq q) (pathover_idp_of_eq r)
(apdo f p) (apdo g p)) : q =[p] r :=
begin
induction p, apply pathover_idp_of_eq, apply eq_of_vdeg_square, exact square_of_squareover_ids s
end
/- charcaterization of pathovers in pathovers -/
-- in this version the fibration (B) of the pathover does not depend on the variable (a)
definition pathover_pathover {a' a₂' : A'} {p : a' = a₂'} {f g : A' → A}
{b : Πa, B (f a)} {b₂ : Πa, B (g a)} {q : Π(a' : A'), f a' = g a'}
(r : pathover B (b a') (q a') (b₂ a'))
(r₂ : pathover B (b a₂') (q a₂') (b₂ a₂'))
(s : squareover B (natural_square_tr q p) r r₂
(pathover_ap B f (apdo b p)) (pathover_ap B g (apdo b₂ p)))
: pathover (λa, pathover B (b a) (q a) (b₂ a)) r p r₂ :=
begin
induction p, esimp at s, apply pathover_idp_of_eq, apply eq_of_vdeg_squareover, exact s
end
definition squareover_change_path_left {p₀₁' : a₀₀ = a₀₂} (r : p₀₁' = p₀₁)
{q₀₁ : b₀₀ =[p₀₁'] b₀₂} (t : squareover B (r ⬝ph s₁₁) q₁₀ q₁₂ q₀₁ q₂₁)
: squareover B s₁₁ q₁₀ q₁₂ (change_path r q₀₁) q₂₁ :=
by induction r; exact t
definition squareover_change_path_right {p₂₁' : a₂₀ = a₂₂} (r : p₂₁' = p₂₁)
{q₂₁ : b₂₀ =[p₂₁'] b₂₂} (t : squareover B (s₁₁ ⬝hp r⁻¹) q₁₀ q₁₂ q₀₁ q₂₁)
: squareover B s₁₁ q₁₀ q₁₂ q₀₁ (change_path r q₂₁) :=
by induction r; exact t
definition squareover_change_path_right' {p₂₁' : a₂₀ = a₂₂} (r : p₂₁ = p₂₁')
{q₂₁ : b₂₀ =[p₂₁'] b₂₂} (t : squareover B (s₁₁ ⬝hp r) q₁₀ q₁₂ q₀₁ q₂₁)
: squareover B s₁₁ q₁₀ q₁₂ q₀₁ (change_path r⁻¹ q₂₁) :=
by induction r; exact t
end eq
|
95182ef43d769110f78b09e73331100016f526c8 | cabd1ea95170493667c024ef2045eb86d981b133 | /src/super/trim.lean | 41c5e5bf2bd24ab51b625f92014d47db481d70b9 | [] | no_license | semorrison/super | 31db4b5aa5ef4c2313dc5803b8c79a95f809815b | 0c6c03ba9c7470f801eb4d055294f424ff090308 | refs/heads/master | 1,630,272,140,541 | 1,511,054,739,000 | 1,511,054,756,000 | 114,317,807 | 0 | 0 | null | 1,513,304,776,000 | 1,513,304,775,000 | null | UTF-8 | Lean | false | false | 1,298 | lean | /-
Copyright (c) 2017 Gabriel Ebner. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Gabriel Ebner
-/
import .utils
open monad expr tactic
namespace super
-- TODO(gabriel): rewrite using conversions
meta def trim : expr → tactic expr
| (app (lam n m d b) arg) :=
if ¬b.has_var then
trim b
else
lift₂ app (trim (lam n m d b)) (trim arg)
| (app a b) := lift₂ app (trim a) (trim b)
| (lam n m d b) := do
x ← mk_local' `x m d,
b' ← trim (instantiate_var b x),
return $ lam n m d (abstract_local b' x.local_uniq_name)
| (elet n t v b) :=
if has_var b then do
x ← mk_local_def `x t,
b' ← trim (instantiate_var b x),
return $ elet n t v (abstract_local b' x.local_uniq_name)
else
trim b
| e := return e
-- iterate trim until convergence
meta def trim' : expr → tactic expr
| e := do e' ← trim e,
if e =ₐ e' then
return e
else
trim' e'
open tactic
meta def with_trim {α} (tac : tactic α) : tactic α := do
gs ← get_goals,
match gs with
| (g::gs) := do
g' ← infer_type g >>= mk_meta_var,
set_goals [g'],
r ← tac,
done,
set_goals (g::gs),
instantiate_mvars g' >>= trim' >>= exact,
return r
| [] := fail "no goal"
end
end super
|
9cfe9ca7d27ef7ef65dc9c41d76fee8de9125b08 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/data/polynomial/ring_division_auto.lean | 4f565de1d0855cec715c35df85cbdd18143e2458 | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 14,447 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johannes Hölzl, Scott Morrison, Jens Wagemaker, Johan Commelin
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.data.polynomial.basic
import Mathlib.data.polynomial.div
import Mathlib.data.polynomial.algebra_map
import Mathlib.data.set.finite
import Mathlib.PostPort
universes u v u_1
namespace Mathlib
/-!
# Theory of univariate polynomials
This file starts looking like the ring theory of $ R[X] $
-/
namespace polynomial
theorem nat_degree_pos_of_aeval_root {R : Type u} {S : Type v} [comm_ring R] [comm_ring S]
[algebra R S] {p : polynomial R} (hp : p ≠ 0) {z : S} (hz : coe_fn (aeval z) p = 0)
(inj : ∀ (x : R), coe_fn (algebra_map R S) x = 0 → x = 0) : 0 < nat_degree p :=
nat_degree_pos_of_eval₂_root hp (algebra_map R S) hz inj
theorem degree_pos_of_aeval_root {R : Type u} {S : Type v} [comm_ring R] [comm_ring S] [algebra R S]
{p : polynomial R} (hp : p ≠ 0) {z : S} (hz : coe_fn (aeval z) p = 0)
(inj : ∀ (x : R), coe_fn (algebra_map R S) x = 0 → x = 0) : 0 < degree p :=
iff.mp nat_degree_pos_iff_degree_pos (nat_degree_pos_of_aeval_root hp hz inj)
theorem aeval_mod_by_monic_eq_self_of_root {R : Type u} {S : Type v} [comm_ring R] [comm_ring S]
[algebra R S] {p : polynomial R} {q : polynomial R} (hq : monic q) {x : S}
(hx : coe_fn (aeval x) q = 0) : coe_fn (aeval x) (p %ₘ q) = coe_fn (aeval x) p :=
eval₂_mod_by_monic_eq_self_of_root hq hx
protected instance integral_domain {R : Type u} [integral_domain R] :
integral_domain (polynomial R) :=
integral_domain.mk comm_ring.add sorry comm_ring.zero sorry sorry comm_ring.neg comm_ring.sub
sorry sorry comm_ring.mul sorry comm_ring.one sorry sorry sorry sorry sorry sorry sorry
theorem nat_degree_mul {R : Type u} [integral_domain R] {p : polynomial R} {q : polynomial R}
(hp : p ≠ 0) (hq : q ≠ 0) : nat_degree (p * q) = nat_degree p + nat_degree q :=
sorry
@[simp] theorem nat_degree_pow {R : Type u} [integral_domain R] (p : polynomial R) (n : ℕ) :
nat_degree (p ^ n) = n * nat_degree p :=
sorry
theorem root_mul {R : Type u} {a : R} [integral_domain R] {p : polynomial R} {q : polynomial R} :
is_root (p * q) a ↔ is_root p a ∨ is_root q a :=
sorry
theorem root_or_root_of_root_mul {R : Type u} {a : R} [integral_domain R] {p : polynomial R}
{q : polynomial R} (h : is_root (p * q) a) : is_root p a ∨ is_root q a :=
iff.mp root_mul h
theorem degree_le_mul_left {R : Type u} [integral_domain R] {q : polynomial R} (p : polynomial R)
(hq : q ≠ 0) : degree p ≤ degree (p * q) :=
sorry
theorem nat_degree_le_of_dvd {R : Type u} [integral_domain R] {p : polynomial R} {q : polynomial R}
(h1 : p ∣ q) (h2 : q ≠ 0) : nat_degree p ≤ nat_degree q :=
sorry
theorem degree_eq_zero_of_is_unit {R : Type u} [integral_domain R] {p : polynomial R}
(h : is_unit p) : degree p = 0 :=
sorry
@[simp] theorem degree_coe_units {R : Type u} [integral_domain R] (u : units (polynomial R)) :
degree ↑u = 0 :=
degree_eq_zero_of_is_unit (Exists.intro u rfl)
theorem prime_X_sub_C {R : Type u} [integral_domain R] {r : R} : prime (X - coe_fn C r) := sorry
theorem prime_X {R : Type u} [integral_domain R] : prime X := sorry
theorem prime_of_degree_eq_one_of_monic {R : Type u} [integral_domain R] {p : polynomial R}
(hp1 : degree p = 1) (hm : monic p) : prime p :=
sorry
theorem irreducible_X_sub_C {R : Type u} [integral_domain R] (r : R) :
irreducible (X - coe_fn C r) :=
irreducible_of_prime prime_X_sub_C
theorem irreducible_X {R : Type u} [integral_domain R] : irreducible X :=
irreducible_of_prime prime_X
theorem irreducible_of_degree_eq_one_of_monic {R : Type u} [integral_domain R] {p : polynomial R}
(hp1 : degree p = 1) (hm : monic p) : irreducible p :=
irreducible_of_prime (prime_of_degree_eq_one_of_monic hp1 hm)
theorem eq_of_monic_of_associated {R : Type u} [integral_domain R] {p : polynomial R}
{q : polynomial R} (hp : monic p) (hq : monic q) (hpq : associated p q) : p = q :=
sorry
@[simp] theorem root_multiplicity_zero {R : Type u} [integral_domain R] {x : R} :
root_multiplicity x 0 = 0 :=
dif_pos rfl
theorem root_multiplicity_eq_zero {R : Type u} [integral_domain R] {p : polynomial R} {x : R}
(h : ¬is_root p x) : root_multiplicity x p = 0 :=
sorry
theorem root_multiplicity_pos {R : Type u} [integral_domain R] {p : polynomial R} (hp : p ≠ 0)
{x : R} : 0 < root_multiplicity x p ↔ is_root p x :=
sorry
theorem root_multiplicity_mul {R : Type u} [integral_domain R] {p : polynomial R} {q : polynomial R}
{x : R} (hpq : p * q ≠ 0) :
root_multiplicity x (p * q) = root_multiplicity x p + root_multiplicity x q :=
sorry
theorem root_multiplicity_X_sub_C_self {R : Type u} [integral_domain R] {x : R} :
root_multiplicity x (X - coe_fn C x) = 1 :=
sorry
theorem root_multiplicity_X_sub_C {R : Type u} [integral_domain R] {x : R} {y : R} :
root_multiplicity x (X - coe_fn C y) = ite (x = y) 1 0 :=
sorry
/-- The multiplicity of `a` as root of `(X - a) ^ n` is `n`. -/
theorem root_multiplicity_X_sub_C_pow {R : Type u} [integral_domain R] (a : R) (n : ℕ) :
root_multiplicity a ((X - coe_fn C a) ^ n) = n :=
sorry
/-- If `(X - a) ^ n` divides a polynomial `p` then the multiplicity of `a` as root of `p` is at
least `n`. -/
theorem root_multiplicity_of_dvd {R : Type u} [integral_domain R] {p : polynomial R} {a : R} {n : ℕ}
(hzero : p ≠ 0) (h : (X - coe_fn C a) ^ n ∣ p) : n ≤ root_multiplicity a p :=
sorry
/-- The multiplicity of `p + q` is at least the minimum of the multiplicities. -/
theorem root_multiplicity_add {R : Type u} [integral_domain R] {p : polynomial R} {q : polynomial R}
(a : R) (hzero : p + q ≠ 0) :
min (root_multiplicity a p) (root_multiplicity a q) ≤ root_multiplicity a (p + q) :=
root_multiplicity_of_dvd hzero
(min_pow_dvd_add (pow_root_multiplicity_dvd p a) (pow_root_multiplicity_dvd q a))
theorem exists_multiset_roots {R : Type u} [integral_domain R] {p : polynomial R} (hp : p ≠ 0) :
∃ (s : multiset R),
↑(coe_fn multiset.card s) ≤ degree p ∧
∀ (a : R), multiset.count a s = root_multiplicity a p :=
sorry
/-- `roots p` noncomputably gives a multiset containing all the roots of `p`,
including their multiplicities. -/
def roots {R : Type u} [integral_domain R] (p : polynomial R) : multiset R :=
dite (p = 0) (fun (h : p = 0) => ∅) fun (h : ¬p = 0) => classical.some (exists_multiset_roots h)
@[simp] theorem roots_zero {R : Type u} [integral_domain R] : roots 0 = 0 := dif_pos rfl
theorem card_roots {R : Type u} [integral_domain R] {p : polynomial R} (hp0 : p ≠ 0) :
↑(coe_fn multiset.card (roots p)) ≤ degree p :=
sorry
theorem card_roots' {R : Type u} [integral_domain R] {p : polynomial R} (hp0 : p ≠ 0) :
coe_fn multiset.card (roots p) ≤ nat_degree p :=
iff.mp with_bot.coe_le_coe (le_trans (card_roots hp0) (le_of_eq (degree_eq_nat_degree hp0)))
theorem card_roots_sub_C {R : Type u} [integral_domain R] {p : polynomial R} {a : R}
(hp0 : 0 < degree p) : ↑(coe_fn multiset.card (roots (p - coe_fn C a))) ≤ degree p :=
sorry
theorem card_roots_sub_C' {R : Type u} [integral_domain R] {p : polynomial R} {a : R}
(hp0 : 0 < degree p) : coe_fn multiset.card (roots (p - coe_fn C a)) ≤ nat_degree p :=
sorry
@[simp] theorem count_roots {R : Type u} {a : R} [integral_domain R] {p : polynomial R}
(hp : p ≠ 0) : multiset.count a (roots p) = root_multiplicity a p :=
sorry
@[simp] theorem mem_roots {R : Type u} {a : R} [integral_domain R] {p : polynomial R} (hp : p ≠ 0) :
a ∈ roots p ↔ is_root p a :=
sorry
theorem eq_zero_of_infinite_is_root {R : Type u} [integral_domain R] (p : polynomial R)
(h : set.infinite (set_of fun (x : R) => is_root p x)) : p = 0 :=
sorry
theorem eq_of_infinite_eval_eq {R : Type u_1} [integral_domain R] (p : polynomial R)
(q : polynomial R) (h : set.infinite (set_of fun (x : R) => eval x p = eval x q)) : p = q :=
sorry
theorem roots_mul {R : Type u} [integral_domain R] {p : polynomial R} {q : polynomial R}
(hpq : p * q ≠ 0) : roots (p * q) = roots p + roots q :=
sorry
@[simp] theorem mem_roots_sub_C {R : Type u} [integral_domain R] {p : polynomial R} {a : R} {x : R}
(hp0 : 0 < degree p) : x ∈ roots (p - coe_fn C a) ↔ eval x p = a :=
sorry
@[simp] theorem roots_X_sub_C {R : Type u} [integral_domain R] (r : R) :
roots (X - coe_fn C r) = r ::ₘ 0 :=
sorry
@[simp] theorem roots_C {R : Type u} [integral_domain R] (x : R) : roots (coe_fn C x) = 0 := sorry
@[simp] theorem roots_one {R : Type u} [integral_domain R] : roots 1 = ∅ := roots_C 1
theorem roots_list_prod {R : Type u} [integral_domain R] (L : List (polynomial R)) :
(∀ (p : polynomial R), p ∈ L → p ≠ 0) → roots (list.prod L) = multiset.bind (↑L) roots :=
sorry
theorem roots_multiset_prod {R : Type u} [integral_domain R] (m : multiset (polynomial R)) :
(∀ (p : polynomial R), p ∈ m → p ≠ 0) → roots (multiset.prod m) = multiset.bind m roots :=
sorry
theorem roots_prod {R : Type u} [integral_domain R] {ι : Type u_1} (f : ι → polynomial R)
(s : finset ι) :
finset.prod s f ≠ 0 →
roots (finset.prod s f) = multiset.bind (finset.val s) fun (i : ι) => roots (f i) :=
sorry
theorem roots_prod_X_sub_C {R : Type u} [integral_domain R] (s : finset R) :
roots (finset.prod s fun (a : R) => X - coe_fn C a) = finset.val s :=
sorry
theorem card_roots_X_pow_sub_C {R : Type u} [integral_domain R] {n : ℕ} (hn : 0 < n) (a : R) :
coe_fn multiset.card (roots (X ^ n - coe_fn C a)) ≤ n :=
iff.mp with_bot.coe_le_coe
(trans_rel_left LessEq (card_roots (X_pow_sub_C_ne_zero hn a)) (degree_X_pow_sub_C hn a))
/-- `nth_roots n a` noncomputably returns the solutions to `x ^ n = a`-/
def nth_roots {R : Type u} [integral_domain R] (n : ℕ) (a : R) : multiset R :=
roots (X ^ n - coe_fn C a)
@[simp] theorem mem_nth_roots {R : Type u} [integral_domain R] {n : ℕ} (hn : 0 < n) {a : R}
{x : R} : x ∈ nth_roots n a ↔ x ^ n = a :=
sorry
@[simp] theorem nth_roots_zero {R : Type u} [integral_domain R] (r : R) : nth_roots 0 r = 0 := sorry
theorem card_nth_roots {R : Type u} [integral_domain R] (n : ℕ) (a : R) :
coe_fn multiset.card (nth_roots n a) ≤ n :=
sorry
/-- The multiset `nth_roots ↑n (1 : R)` as a finset. -/
def nth_roots_finset (n : ℕ) (R : Type u_1) [integral_domain R] : finset R :=
multiset.to_finset (nth_roots n 1)
@[simp] theorem mem_nth_roots_finset {R : Type u} [integral_domain R] {n : ℕ} (h : 0 < n) {x : R} :
x ∈ nth_roots_finset n R ↔ x ^ n = 1 :=
sorry
theorem coeff_comp_degree_mul_degree {R : Type u} [integral_domain R] {p : polynomial R}
{q : polynomial R} (hqd0 : nat_degree q ≠ 0) :
coeff (comp p q) (nat_degree p * nat_degree q) =
leading_coeff p * leading_coeff q ^ nat_degree p :=
sorry
theorem nat_degree_comp {R : Type u} [integral_domain R] {p : polynomial R} {q : polynomial R} :
nat_degree (comp p q) = nat_degree p * nat_degree q :=
sorry
theorem leading_coeff_comp {R : Type u} [integral_domain R] {p : polynomial R} {q : polynomial R}
(hq : nat_degree q ≠ 0) :
leading_coeff (comp p q) = leading_coeff p * leading_coeff q ^ nat_degree p :=
sorry
theorem units_coeff_zero_smul {R : Type u} [integral_domain R] (c : units (polynomial R))
(p : polynomial R) : coeff (↑c) 0 • p = ↑c * p :=
sorry
@[simp] theorem nat_degree_coe_units {R : Type u} [integral_domain R] (u : units (polynomial R)) :
nat_degree ↑u = 0 :=
nat_degree_eq_of_degree_eq_some (degree_coe_units u)
theorem zero_of_eval_zero {R : Type u} [integral_domain R] [infinite R] (p : polynomial R)
(h : ∀ (x : R), eval x p = 0) : p = 0 :=
sorry
theorem funext {R : Type u} [integral_domain R] [infinite R] {p : polynomial R} {q : polynomial R}
(ext : ∀ (r : R), eval r p = eval r q) : p = q :=
sorry
theorem is_unit_iff {R : Type u} [integral_domain R] {f : polynomial R} :
is_unit f ↔ ∃ (r : R), is_unit r ∧ coe_fn C r = f :=
sorry
theorem coeff_coe_units_zero_ne_zero {R : Type u} [integral_domain R] (u : units (polynomial R)) :
coeff (↑u) 0 ≠ 0 :=
sorry
theorem degree_eq_degree_of_associated {R : Type u} [integral_domain R] {p : polynomial R}
{q : polynomial R} (h : associated p q) : degree p = degree q :=
sorry
theorem degree_eq_one_of_irreducible_of_root {R : Type u} [integral_domain R] {p : polynomial R}
(hi : irreducible p) {x : R} (hx : is_root p x) : degree p = 1 :=
sorry
/-- Division by a monic polynomial doesn't change the leading coefficient. -/
theorem leading_coeff_div_by_monic_of_monic {R : Type u} [integral_domain R] {p : polynomial R}
{q : polynomial R} (hmonic : monic q) (hdegree : degree q ≤ degree p) :
leading_coeff (p /ₘ q) = leading_coeff p :=
sorry
theorem eq_of_monic_of_dvd_of_nat_degree_le {R : Type u} [integral_domain R] {p : polynomial R}
{q : polynomial R} (hp : monic p) (hq : monic q) (hdiv : p ∣ q)
(hdeg : nat_degree q ≤ nat_degree p) : q = p :=
sorry
theorem is_unit_of_is_unit_leading_coeff_of_is_unit_map {R : Type u} {S : Type v} [semiring R]
[integral_domain S] (φ : R →+* S) (f : polynomial R) (hf : is_unit (leading_coeff f))
(H : is_unit (map φ f)) : is_unit f :=
sorry
/--
A polynomial over an integral domain `R` is irreducible if it is monic and
irreducible after mapping into an integral domain `S`.
A special case of this lemma is that a polynomial over `ℤ` is irreducible if
it is monic and irreducible over `ℤ/pℤ` for some prime `p`.
-/
theorem monic.irreducible_of_irreducible_map {R : Type u} {S : Type v} [integral_domain R]
[integral_domain S] (φ : R →+* S) (f : polynomial R) (h_mon : monic f)
(h_irr : irreducible (map φ f)) : irreducible f :=
sorry
end polynomial
namespace is_integral_domain
/-- Lift evidence that `is_integral_domain R` to `is_integral_domain (polynomial R)`. -/
theorem polynomial {R : Type u_1} [comm_ring R] (h : is_integral_domain R) :
is_integral_domain (polynomial R) :=
integral_domain.to_is_integral_domain (polynomial R)
end Mathlib |
46140f5f13e0618c0c7720f2bda391a887bd2a50 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/eta_bug.lean | 33a1e6124ec9bd5776780bf3d3170b818ce02c35 | [
"Apache-2.0"
] | permissive | leanprover-community/lean | 12b87f69d92e614daea8bcc9d4de9a9ace089d0e | cce7990ea86a78bdb383e38ed7f9b5ba93c60ce0 | refs/heads/master | 1,687,508,156,644 | 1,684,951,104,000 | 1,684,951,104,000 | 169,960,991 | 457 | 107 | Apache-2.0 | 1,686,744,372,000 | 1,549,790,268,000 | C++ | UTF-8 | Lean | false | false | 148 | lean | --
#reduce λ (A : Type*) (x y : A) (H₁ : x = y) (H₂ : y = x), eq.trans H₁ H₂
-- Should not reduce to
-- λ (A : Type*) (x y : A), eq.trans
|
9e379d8667468cbfc20faa594f962e96be70d032 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/control/bitraversable/basic.lean | 2d9b48ea6a9f739371d9d21df338c274e98757b3 | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 3,243 | lean | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon
-/
import control.bifunctor
import control.traversable.basic
/-!
# Bitraversable type class
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
Type class for traversing bifunctors.
Simple examples of `bitraversable` are `prod` and `sum`. A more elaborate example is
to define an a-list as:
```
def alist (key val : Type) := list (key × val)
```
Then we can use `f : key → io key'` and `g : val → io val'` to manipulate the `alist`'s key
and value respectively with `bitraverse f g : alist key val → io (alist key' val')`
## Main definitions
* `bitraversable`: Bare typeclass to hold the `bitraverse` function.
* `is_lawful_bitraversable`: Typeclass for the laws of the `bitraverse` function. Similar to
`is_lawful_traversable`.
## References
The concepts and laws are taken from
<https://hackage.haskell.org/package/base-4.12.0.0/docs/Data-Bitraversable.html>
## Tags
traversable bitraversable iterator functor bifunctor applicative
-/
universes u
/-- Lawless bitraversable bifunctor. This only holds data for the bimap and bitraverse. -/
class bitraversable (t : Type u → Type u → Type u)
extends bifunctor t :=
(bitraverse : Π {m : Type u → Type u} [applicative m] {α α' β β'},
(α → m α') → (β → m β') → t α β → m (t α' β'))
export bitraversable ( bitraverse )
/-- A bitraversable functor commutes with all applicative functors. -/
def bisequence {t m} [bitraversable t] [applicative m] {α β} : t (m α) (m β) → m (t α β) :=
bitraverse id id
open functor
/-- Bifunctor. This typeclass asserts that a lawless bitraversable bifunctor is lawful. -/
class is_lawful_bitraversable (t : Type u → Type u → Type u) [bitraversable t]
extends is_lawful_bifunctor t :=
(id_bitraverse : ∀ {α β} (x : t α β), bitraverse id.mk id.mk x = id.mk x )
(comp_bitraverse : ∀ {F G} [applicative F] [applicative G]
[is_lawful_applicative F] [is_lawful_applicative G]
{α α' β β' γ γ'} (f : β → F γ) (f' : β' → F γ')
(g : α → G β) (g' : α' → G β') (x : t α α'),
bitraverse (comp.mk ∘ map f ∘ g) (comp.mk ∘ map f' ∘ g') x =
comp.mk (bitraverse f f' <$> bitraverse g g' x) )
(bitraverse_eq_bimap_id : ∀ {α α' β β'} (f : α → β) (f' : α' → β') (x : t α α'),
bitraverse (id.mk ∘ f) (id.mk ∘ f') x = id.mk (bimap f f' x))
(binaturality : ∀ {F G} [applicative F] [applicative G]
[is_lawful_applicative F] [is_lawful_applicative G]
(η : applicative_transformation F G) {α α' β β'}
(f : α → F β) (f' : α' → F β') (x : t α α'),
η (bitraverse f f' x) = bitraverse (@η _ ∘ f) (@η _ ∘ f') x)
export is_lawful_bitraversable ( id_bitraverse comp_bitraverse
bitraverse_eq_bimap_id )
open is_lawful_bitraversable
attribute [higher_order bitraverse_id_id] id_bitraverse
attribute [higher_order bitraverse_comp] comp_bitraverse
attribute [higher_order] binaturality bitraverse_eq_bimap_id
export is_lawful_bitraversable (bitraverse_id_id bitraverse_comp)
|
de4393ff3443ab2f845b7e57d979d784f7a23a16 | 63abd62053d479eae5abf4951554e1064a4c45b4 | /src/group_theory/congruence.lean | 2d79d43cbc1c3c8052741d21258ce7a215616d58 | [
"Apache-2.0"
] | permissive | Lix0120/mathlib | 0020745240315ed0e517cbf32e738d8f9811dd80 | e14c37827456fc6707f31b4d1d16f1f3a3205e91 | refs/heads/master | 1,673,102,855,024 | 1,604,151,044,000 | 1,604,151,044,000 | 308,930,245 | 0 | 0 | Apache-2.0 | 1,604,164,710,000 | 1,604,163,547,000 | null | UTF-8 | Lean | false | false | 42,941 | lean | /-
Copyright (c) 2019 Amelia Livingston. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Amelia Livingston
-/
import data.setoid.basic
import algebra.group.pi
import algebra.group.prod
import data.equiv.mul_add
import group_theory.submonoid.operations
/-!
# Congruence relations
This file defines congruence relations: equivalence relations that preserve a binary operation,
which in this case is multiplication or addition. The principal definition is a `structure`
extending a `setoid` (an equivalence relation), and the inductive definition of the smallest
congruence relation containing a binary relation is also given (see `con_gen`).
The file also proves basic properties of the quotient of a type by a congruence relation, and the
complete lattice of congruence relations on a type. We then establish an order-preserving bijection
between the set of congruence relations containing a congruence relation `c` and the set of
congruence relations on the quotient by `c`.
The second half of the file concerns congruence relations on monoids, in which case the
quotient by the congruence relation is also a monoid. There are results about the universal
property of quotients of monoids, and the isomorphism theorems for monoids.
## Implementation notes
The inductive definition of a congruence relation could be a nested inductive type, defined using
the equivalence closure of a binary relation `eqv_gen`, but the recursor generated does not work.
A nested inductive definition could conceivably shorten proofs, because they would allow invocation
of the corresponding lemmas about `eqv_gen`.
The lemmas `refl`, `symm` and `trans` are not tagged with `@[refl]`, `@[symm]`, and `@[trans]`
respectively as these tags do not work on a structure coerced to a binary relation.
There is a coercion from elements of a type to the element's equivalence class under a
congruence relation.
A congruence relation on a monoid `M` can be thought of as a submonoid of `M × M` for which
membership is an equivalence relation, but whilst this fact is established in the file, it is not
used, since this perspective adds more layers of definitional unfolding.
## Tags
congruence, congruence relation, quotient, quotient by congruence relation, monoid,
quotient monoid, isomorphism theorems
-/
variables (M : Type*) {N : Type*} {P : Type*}
set_option old_structure_cmd true
open function setoid
/-- A congruence relation on a type with an addition is an equivalence relation which
preserves addition. -/
structure add_con [has_add M] extends setoid M :=
(add' : ∀ {w x y z}, r w x → r y z → r (w + y) (x + z))
/-- A congruence relation on a type with a multiplication is an equivalence relation which
preserves multiplication. -/
@[to_additive add_con] structure con [has_mul M] extends setoid M :=
(mul' : ∀ {w x y z}, r w x → r y z → r (w * y) (x * z))
/-- The equivalence relation underlying an additive congruence relation. -/
add_decl_doc add_con.to_setoid
/-- The equivalence relation underlying a multiplicative congruence relation. -/
add_decl_doc con.to_setoid
variables {M}
/-- The inductively defined smallest additive congruence relation containing a given binary
relation. -/
inductive add_con_gen.rel [has_add M] (r : M → M → Prop) : M → M → Prop
| of : Π x y, r x y → add_con_gen.rel x y
| refl : Π x, add_con_gen.rel x x
| symm : Π x y, add_con_gen.rel x y → add_con_gen.rel y x
| trans : Π x y z, add_con_gen.rel x y → add_con_gen.rel y z → add_con_gen.rel x z
| add : Π w x y z, add_con_gen.rel w x → add_con_gen.rel y z → add_con_gen.rel (w + y) (x + z)
/-- The inductively defined smallest multiplicative congruence relation containing a given binary
relation. -/
@[to_additive add_con_gen.rel]
inductive con_gen.rel [has_mul M] (r : M → M → Prop) : M → M → Prop
| of : Π x y, r x y → con_gen.rel x y
| refl : Π x, con_gen.rel x x
| symm : Π x y, con_gen.rel x y → con_gen.rel y x
| trans : Π x y z, con_gen.rel x y → con_gen.rel y z → con_gen.rel x z
| mul : Π w x y z, con_gen.rel w x → con_gen.rel y z → con_gen.rel (w * y) (x * z)
/-- The inductively defined smallest multiplicative congruence relation containing a given binary
relation. -/
@[to_additive add_con_gen "The inductively defined smallest additive congruence relation containing
a given binary relation."]
def con_gen [has_mul M] (r : M → M → Prop) : con M :=
⟨con_gen.rel r, ⟨con_gen.rel.refl, con_gen.rel.symm, con_gen.rel.trans⟩, con_gen.rel.mul⟩
namespace con
section
variables [has_mul M] [has_mul N] [has_mul P] (c : con M)
@[to_additive]
instance : inhabited (con M) :=
⟨con_gen empty_relation⟩
/-- A coercion from a congruence relation to its underlying binary relation. -/
@[to_additive "A coercion from an additive congruence relation to its underlying binary relation."]
instance : has_coe_to_fun (con M) := ⟨_, λ c, λ x y, c.r x y⟩
@[simp, to_additive] lemma rel_eq_coe (c : con M) : c.r = c := rfl
/-- Congruence relations are reflexive. -/
@[to_additive "Additive congruence relations are reflexive."]
protected lemma refl (x) : c x x := c.2.1 x
/-- Congruence relations are symmetric. -/
@[to_additive "Additive congruence relations are symmetric."]
protected lemma symm : ∀ {x y}, c x y → c y x := λ _ _ h, c.2.2.1 h
/-- Congruence relations are transitive. -/
@[to_additive "Additive congruence relations are transitive."]
protected lemma trans : ∀ {x y z}, c x y → c y z → c x z :=
λ _ _ _ h, c.2.2.2 h
/-- Multiplicative congruence relations preserve multiplication. -/
@[to_additive "Additive congruence relations preserve addition."]
protected lemma mul : ∀ {w x y z}, c w x → c y z → c (w * y) (x * z) :=
λ _ _ _ _ h1 h2, c.3 h1 h2
/-- Given a type `M` with a multiplication, a congruence relation `c` on `M`, and elements of `M`
`x, y`, `(x, y) ∈ M × M` iff `x` is related to `y` by `c`. -/
@[to_additive "Given a type `M` with an addition, `x, y ∈ M`, and an additive congruence relation
`c` on `M`, `(x, y) ∈ M × M` iff `x` is related to `y` by `c`."]
instance : has_mem (M × M) (con M) := ⟨λ x c, c x.1 x.2⟩
variables {c}
/-- The map sending a congruence relation to its underlying binary relation is injective. -/
@[to_additive "The map sending an additive congruence relation to its underlying binary relation
is injective."]
lemma ext' {c d : con M} (H : c.r = d.r) : c = d :=
by cases c; cases d; simpa using H
/-- Extensionality rule for congruence relations. -/
@[ext, to_additive "Extensionality rule for additive congruence relations."]
lemma ext {c d : con M} (H : ∀ x y, c x y ↔ d x y) : c = d :=
ext' $ by ext; apply H
attribute [ext] add_con.ext
/-- The map sending a congruence relation to its underlying equivalence relation is injective. -/
@[to_additive "The map sending an additive congruence relation to its underlying equivalence
relation is injective."]
lemma to_setoid_inj {c d : con M} (H : c.to_setoid = d.to_setoid) : c = d :=
ext $ ext_iff.1 H
/-- Iff version of extensionality rule for congruence relations. -/
@[to_additive "Iff version of extensionality rule for additive congruence relations."]
lemma ext_iff {c d : con M} : (∀ x y, c x y ↔ d x y) ↔ c = d :=
⟨ext, λ h _ _, h ▸ iff.rfl⟩
/-- Two congruence relations are equal iff their underlying binary relations are equal. -/
@[to_additive "Two additive congruence relations are equal iff their underlying binary relations
are equal."]
lemma ext'_iff {c d : con M} : c.r = d.r ↔ c = d :=
⟨ext', λ h, h ▸ rfl⟩
/-- The kernel of a multiplication-preserving function as a congruence relation. -/
@[to_additive "The kernel of an addition-preserving function as an additive congruence relation."]
def mul_ker (f : M → P) (h : ∀ x y, f (x * y) = f x * f y) : con M :=
{ r := λ x y, f x = f y,
iseqv := ⟨λ _, rfl, λ _ _, eq.symm, λ _ _ _, eq.trans⟩,
mul' := λ _ _ _ _ h1 h2, by rw [h, h1, h2, h] }
/-- Given types with multiplications `M, N`, the product of two congruence relations `c` on `M` and
`d` on `N`: `(x₁, x₂), (y₁, y₂) ∈ M × N` are related by `c.prod d` iff `x₁` is related to `y₁`
by `c` and `x₂` is related to `y₂` by `d`. -/
@[to_additive prod "Given types with additions `M, N`, the product of two congruence relations
`c` on `M` and `d` on `N`: `(x₁, x₂), (y₁, y₂) ∈ M × N` are related by `c.prod d` iff `x₁`
is related to `y₁` by `c` and `x₂` is related to `y₂` by `d`."]
protected def prod (c : con M) (d : con N) : con (M × N) :=
{ mul' := λ _ _ _ _ h1 h2, ⟨c.mul h1.1 h2.1, d.mul h1.2 h2.2⟩, ..c.to_setoid.prod d.to_setoid }
/-- The product of an indexed collection of congruence relations. -/
@[to_additive "The product of an indexed collection of additive congruence relations."]
def pi {ι : Type*} {f : ι → Type*} [Π i, has_mul (f i)]
(C : Π i, con (f i)) : con (Π i, f i) :=
{ mul' := λ _ _ _ _ h1 h2 i, (C i).mul (h1 i) (h2 i), ..@pi_setoid _ _ $ λ i, (C i).to_setoid }
variables (c)
@[simp, to_additive] lemma coe_eq : c.to_setoid.r = c := rfl
-- Quotients
/-- Defining the quotient by a congruence relation of a type with a multiplication. -/
@[to_additive "Defining the quotient by an additive congruence relation of a type with
an addition."]
protected def quotient := quotient $ c.to_setoid
/-- Coercion from a type with a multiplication to its quotient by a congruence relation.
See Note [use has_coe_t]. -/
@[to_additive "Coercion from a type with an addition to its quotient by an additive congruence
relation", priority 0]
instance : has_coe_t M c.quotient := ⟨@quotient.mk _ c.to_setoid⟩
/-- The quotient of a type with decidable equality by a congruence relation also has
decidable equality. -/
@[to_additive "The quotient of a type with decidable equality by an additive congruence relation
also has decidable equality."]
instance [d : ∀ a b, decidable (c a b)] : decidable_eq c.quotient :=
@quotient.decidable_eq M c.to_setoid d
/-- The function on the quotient by a congruence relation `c` induced by a function that is
constant on `c`'s equivalence classes. -/
@[elab_as_eliminator, to_additive "The function on the quotient by a congruence relation `c`
induced by a function that is constant on `c`'s equivalence classes."]
protected def lift_on {β} {c : con M} (q : c.quotient) (f : M → β)
(h : ∀ a b, c a b → f a = f b) : β := quotient.lift_on' q f h
/-- The binary function on the quotient by a congruence relation `c` induced by a binary function
that is constant on `c`'s equivalence classes. -/
@[elab_as_eliminator, to_additive "The binary function on the quotient by a congruence relation `c`
induced by a binary function that is constant on `c`'s equivalence classes."]
protected def lift_on₂ {β} {c : con M} (q r : c.quotient) (f : M → M → β)
(h : ∀ a₁ a₂ b₁ b₂, c a₁ b₁ → c a₂ b₂ → f a₁ a₂ = f b₁ b₂) : β := quotient.lift_on₂' q r f h
variables {c}
/-- The inductive principle used to prove propositions about the elements of a quotient by a
congruence relation. -/
@[elab_as_eliminator, to_additive "The inductive principle used to prove propositions about
the elements of a quotient by an additive congruence relation."]
protected lemma induction_on {C : c.quotient → Prop} (q : c.quotient) (H : ∀ x : M, C x) : C q :=
quotient.induction_on' q H
/-- A version of `con.induction_on` for predicates which take two arguments. -/
@[elab_as_eliminator, to_additive "A version of `add_con.induction_on` for predicates which take
two arguments."]
protected lemma induction_on₂ {d : con N} {C : c.quotient → d.quotient → Prop}
(p : c.quotient) (q : d.quotient) (H : ∀ (x : M) (y : N), C x y) : C p q :=
quotient.induction_on₂' p q H
variables (c)
/-- Two elements are related by a congruence relation `c` iff they are represented by the same
element of the quotient by `c`. -/
@[simp, to_additive "Two elements are related by an additive congruence relation `c` iff they
are represented by the same element of the quotient by `c`."]
protected lemma eq {a b : M} : (a : c.quotient) = b ↔ c a b :=
quotient.eq'
/-- The multiplication induced on the quotient by a congruence relation on a type with a
multiplication. -/
@[to_additive "The addition induced on the quotient by an additive congruence relation on a type
with an addition."]
instance has_mul : has_mul c.quotient :=
⟨λ x y, quotient.lift_on₂' x y (λ w z, ((w * z : M) : c.quotient))
$ λ _ _ _ _ h1 h2, c.eq.2 $ c.mul h1 h2⟩
/-- The kernel of the quotient map induced by a congruence relation `c` equals `c`. -/
@[simp, to_additive "The kernel of the quotient map induced by an additive congruence relation
`c` equals `c`."]
lemma mul_ker_mk_eq : mul_ker (coe : M → c.quotient) (λ x y, rfl) = c :=
ext $ λ x y, quotient.eq'
variables {c}
/-- The coercion to the quotient of a congruence relation commutes with multiplication (by
definition). -/
@[simp, to_additive "The coercion to the quotient of an additive congruence relation commutes with
addition (by definition)."]
lemma coe_mul (x y : M) : (↑(x * y) : c.quotient) = ↑x * ↑y := rfl
/-- Definition of the function on the quotient by a congruence relation `c` induced by a function
that is constant on `c`'s equivalence classes. -/
@[simp, to_additive "Definition of the function on the quotient by an additive congruence
relation `c` induced by a function that is constant on `c`'s equivalence classes."]
protected lemma lift_on_beta {β} (c : con M) (f : M → β)
(h : ∀ a b, c a b → f a = f b) (x : M) :
con.lift_on (x : c.quotient) f h = f x := rfl
/-- Makes an isomorphism of quotients by two congruence relations, given that the relations are
equal. -/
@[to_additive "Makes an additive isomorphism of quotients by two additive congruence relations,
given that the relations are equal."]
protected def congr {c d : con M} (h : c = d) : c.quotient ≃* d.quotient :=
{ map_mul' := λ x y, by rcases x; rcases y; refl,
..quotient.congr (equiv.refl M) $ by apply ext_iff.2 h }
-- The complete lattice of congruence relations on a type
/-- For congruence relations `c, d` on a type `M` with a multiplication, `c ≤ d` iff `∀ x y ∈ M`,
`x` is related to `y` by `d` if `x` is related to `y` by `c`. -/
@[to_additive "For additive congruence relations `c, d` on a type `M` with an addition, `c ≤ d` iff
`∀ x y ∈ M`, `x` is related to `y` by `d` if `x` is related to `y` by `c`."]
instance : has_le (con M) := ⟨λ c d, ∀ ⦃x y⦄, c x y → d x y⟩
/-- Definition of `≤` for congruence relations. -/
@[to_additive "Definition of `≤` for additive congruence relations."]
theorem le_def {c d : con M} : c ≤ d ↔ ∀ {x y}, c x y → d x y := iff.rfl
/-- The infimum of a set of congruence relations on a given type with a multiplication. -/
@[to_additive "The infimum of a set of additive congruence relations on a given type with
an addition."]
instance : has_Inf (con M) :=
⟨λ S, ⟨λ x y, ∀ c : con M, c ∈ S → c x y,
⟨λ x c hc, c.refl x, λ _ _ h c hc, c.symm $ h c hc,
λ _ _ _ h1 h2 c hc, c.trans (h1 c hc) $ h2 c hc⟩,
λ _ _ _ _ h1 h2 c hc, c.mul (h1 c hc) $ h2 c hc⟩⟩
/-- The infimum of a set of congruence relations is the same as the infimum of the set's image
under the map to the underlying equivalence relation. -/
@[to_additive "The infimum of a set of additive congruence relations is the same as the infimum of
the set's image under the map to the underlying equivalence relation."]
lemma Inf_to_setoid (S : set (con M)) : (Inf S).to_setoid = Inf (to_setoid '' S) :=
setoid.ext' $ λ x y, ⟨λ h r ⟨c, hS, hr⟩, by rw ←hr; exact h c hS,
λ h c hS, h c.to_setoid ⟨c, hS, rfl⟩⟩
/-- The infimum of a set of congruence relations is the same as the infimum of the set's image
under the map to the underlying binary relation. -/
@[to_additive "The infimum of a set of additive congruence relations is the same as the infimum
of the set's image under the map to the underlying binary relation."]
lemma Inf_def (S : set (con M)) : (Inf S).r = Inf (r '' S) :=
by { ext, simp only [Inf_image, infi_apply, infi_Prop_eq], refl }
@[to_additive]
instance : partial_order (con M) :=
{ le := (≤),
lt := λ c d, c ≤ d ∧ ¬d ≤ c,
le_refl := λ c _ _, id,
le_trans := λ c1 c2 c3 h1 h2 x y h, h2 $ h1 h,
lt_iff_le_not_le := λ _ _, iff.rfl,
le_antisymm := λ c d hc hd, ext $ λ x y, ⟨λ h, hc h, λ h, hd h⟩ }
/-- The complete lattice of congruence relations on a given type with a multiplication. -/
@[to_additive "The complete lattice of additive congruence relations on a given type with
an addition."]
instance : complete_lattice (con M) :=
{ inf := λ c d, ⟨(c.to_setoid ⊓ d.to_setoid).1, (c.to_setoid ⊓ d.to_setoid).2,
λ _ _ _ _ h1 h2, ⟨c.mul h1.1 h2.1, d.mul h1.2 h2.2⟩⟩,
inf_le_left := λ _ _ _ _ h, h.1,
inf_le_right := λ _ _ _ _ h, h.2,
le_inf := λ _ _ _ hb hc _ _ h, ⟨hb h, hc h⟩,
top := { mul' := by tauto, ..setoid.complete_lattice.top},
le_top := λ _ _ _ h, trivial,
bot := { mul' := λ _ _ _ _ h1 h2, h1 ▸ h2 ▸ rfl, ..setoid.complete_lattice.bot},
bot_le := λ c x y h, h ▸ c.refl x,
.. complete_lattice_of_Inf (con M) $ assume s,
⟨λ r hr x y h, (h : ∀ r ∈ s, (r : con M) x y) r hr, λ r hr x y h r' hr', hr hr' h⟩ }
/-- The infimum of two congruence relations equals the infimum of the underlying binary
operations. -/
@[to_additive "The infimum of two additive congruence relations equals the infimum of the
underlying binary operations."]
lemma inf_def {c d : con M} : (c ⊓ d).r = c.r ⊓ d.r := rfl
/-- Definition of the infimum of two congruence relations. -/
@[to_additive "Definition of the infimum of two additive congruence relations."]
theorem inf_iff_and {c d : con M} {x y} : (c ⊓ d) x y ↔ c x y ∧ d x y := iff.rfl
/-- The inductively defined smallest congruence relation containing a binary relation `r` equals
the infimum of the set of congruence relations containing `r`. -/
@[to_additive add_con_gen_eq "The inductively defined smallest additive congruence relation
containing a binary relation `r` equals the infimum of the set of additive congruence relations
containing `r`."]
theorem con_gen_eq (r : M → M → Prop) :
con_gen r = Inf {s : con M | ∀ x y, r x y → s x y} :=
le_antisymm
(λ x y H, con_gen.rel.rec_on H (λ _ _ h _ hs, hs _ _ h) (con.refl _) (λ _ _ _, con.symm _)
(λ _ _ _ _ _, con.trans _)
$ λ w x y z _ _ h1 h2 c hc, c.mul (h1 c hc) $ h2 c hc)
(Inf_le (λ _ _, con_gen.rel.of _ _))
/-- The smallest congruence relation containing a binary relation `r` is contained in any
congruence relation containing `r`. -/
@[to_additive add_con_gen_le "The smallest additive congruence relation containing a binary
relation `r` is contained in any additive congruence relation containing `r`."]
theorem con_gen_le {r : M → M → Prop} {c : con M} (h : ∀ x y, r x y → c.r x y) :
con_gen r ≤ c :=
by rw con_gen_eq; exact Inf_le h
/-- Given binary relations `r, s` with `r` contained in `s`, the smallest congruence relation
containing `s` contains the smallest congruence relation containing `r`. -/
@[to_additive add_con_gen_mono "Given binary relations `r, s` with `r` contained in `s`, the
smallest additive congruence relation containing `s` contains the smallest additive congruence
relation containing `r`."]
theorem con_gen_mono {r s : M → M → Prop} (h : ∀ x y, r x y → s x y) :
con_gen r ≤ con_gen s :=
con_gen_le $ λ x y hr, con_gen.rel.of _ _ $ h x y hr
/-- Congruence relations equal the smallest congruence relation in which they are contained. -/
@[simp, to_additive add_con_gen_of_add_con "Additive congruence relations equal the smallest
additive congruence relation in which they are contained."]
lemma con_gen_of_con (c : con M) : con_gen c = c :=
le_antisymm (by rw con_gen_eq; exact Inf_le (λ _ _, id)) con_gen.rel.of
/-- The map sending a binary relation to the smallest congruence relation in which it is
contained is idempotent. -/
@[simp, to_additive add_con_gen_idem "The map sending a binary relation to the smallest additive
congruence relation in which it is contained is idempotent."]
lemma con_gen_idem (r : M → M → Prop) :
con_gen (con_gen r) = con_gen r :=
con_gen_of_con _
/-- The supremum of congruence relations `c, d` equals the smallest congruence relation containing
the binary relation '`x` is related to `y` by `c` or `d`'. -/
@[to_additive sup_eq_add_con_gen "The supremum of additive congruence relations `c, d` equals the
smallest additive congruence relation containing the binary relation '`x` is related to `y`
by `c` or `d`'."]
lemma sup_eq_con_gen (c d : con M) :
c ⊔ d = con_gen (λ x y, c x y ∨ d x y) :=
begin
rw con_gen_eq,
apply congr_arg Inf,
simp only [le_def, or_imp_distrib, ← forall_and_distrib]
end
/-- The supremum of two congruence relations equals the smallest congruence relation containing
the supremum of the underlying binary operations. -/
@[to_additive "The supremum of two additive congruence relations equals the smallest additive
congruence relation containing the supremum of the underlying binary operations."]
lemma sup_def {c d : con M} : c ⊔ d = con_gen (c.r ⊔ d.r) :=
by rw sup_eq_con_gen; refl
/-- The supremum of a set of congruence relations `S` equals the smallest congruence relation
containing the binary relation 'there exists `c ∈ S` such that `x` is related to `y` by
`c`'. -/
@[to_additive Sup_eq_add_con_gen "The supremum of a set of additive congruence relations `S` equals
the smallest additive congruence relation containing the binary relation 'there exists `c ∈ S`
such that `x` is related to `y` by `c`'."]
lemma Sup_eq_con_gen (S : set (con M)) :
Sup S = con_gen (λ x y, ∃ c : con M, c ∈ S ∧ c x y) :=
begin
rw con_gen_eq,
apply congr_arg Inf,
ext,
exact ⟨λ h _ _ ⟨r, hr⟩, h hr.1 hr.2,
λ h r hS _ _ hr, h _ _ ⟨r, hS, hr⟩⟩,
end
/-- The supremum of a set of congruence relations is the same as the smallest congruence relation
containing the supremum of the set's image under the map to the underlying binary relation. -/
@[to_additive "The supremum of a set of additive congruence relations is the same as the smallest
additive congruence relation containing the supremum of the set's image under the map to the
underlying binary relation."]
lemma Sup_def {S : set (con M)} : Sup S = con_gen (Sup (r '' S)) :=
begin
rw [Sup_eq_con_gen, Sup_image],
congr' with x y,
simp only [Sup_image, supr_apply, supr_Prop_eq, exists_prop, rel_eq_coe]
end
variables (M)
/-- There is a Galois insertion of congruence relations on a type with a multiplication `M` into
binary relations on `M`. -/
@[to_additive "There is a Galois insertion of additive congruence relations on a type with
an addition `M` into binary relations on `M`."]
protected noncomputable def gi : @galois_insertion (M → M → Prop) (con M) _ _ con_gen r :=
{ choice := λ r h, con_gen r,
gc := λ r c, ⟨λ H _ _ h, H $ con_gen.rel.of _ _ h, λ H, con_gen_of_con c ▸ con_gen_mono H⟩,
le_l_u := λ x, (con_gen_of_con x).symm ▸ le_refl x,
choice_eq := λ _ _, rfl }
variables {M} (c)
/-- Given a function `f`, the smallest congruence relation containing the binary relation on `f`'s
image defined by '`x ≈ y` iff the elements of `f⁻¹(x)` are related to the elements of `f⁻¹(y)`
by a congruence relation `c`.' -/
@[to_additive "Given a function `f`, the smallest additive congruence relation containing the
binary relation on `f`'s image defined by '`x ≈ y` iff the elements of `f⁻¹(x)` are related to the
elements of `f⁻¹(y)` by an additive congruence relation `c`.'"]
def map_gen (f : M → N) : con N :=
con_gen $ λ x y, ∃ a b, f a = x ∧ f b = y ∧ c a b
/-- Given a surjective multiplicative-preserving function `f` whose kernel is contained in a
congruence relation `c`, the congruence relation on `f`'s codomain defined by '`x ≈ y` iff the
elements of `f⁻¹(x)` are related to the elements of `f⁻¹(y)` by `c`.' -/
@[to_additive "Given a surjective addition-preserving function `f` whose kernel is contained in
an additive congruence relation `c`, the additive congruence relation on `f`'s codomain defined
by '`x ≈ y` iff the elements of `f⁻¹(x)` are related to the elements of `f⁻¹(y)` by `c`.'"]
def map_of_surjective (f : M → N) (H : ∀ x y, f (x * y) = f x * f y) (h : mul_ker f H ≤ c)
(hf : surjective f) : con N :=
{ mul' := λ w x y z ⟨a, b, hw, hx, h1⟩ ⟨p, q, hy, hz, h2⟩,
⟨a * p, b * q, by rw [H, hw, hy], by rw [H, hx, hz], c.mul h1 h2⟩,
..c.to_setoid.map_of_surjective f h hf }
/-- A specialization of 'the smallest congruence relation containing a congruence relation `c`
equals `c`'. -/
@[to_additive "A specialization of 'the smallest additive congruence relation containing
an additive congruence relation `c` equals `c`'."]
lemma map_of_surjective_eq_map_gen {c : con M} {f : M → N} (H : ∀ x y, f (x * y) = f x * f y)
(h : mul_ker f H ≤ c) (hf : surjective f) :
c.map_gen f = c.map_of_surjective f H h hf :=
by rw ←con_gen_of_con (c.map_of_surjective f H h hf); refl
/-- Given types with multiplications `M, N` and a congruence relation `c` on `N`, a
multiplication-preserving map `f : M → N` induces a congruence relation on `f`'s domain
defined by '`x ≈ y` iff `f(x)` is related to `f(y)` by `c`.' -/
@[to_additive "Given types with additions `M, N` and an additive congruence relation `c` on `N`,
an addition-preserving map `f : M → N` induces an additive congruence relation on `f`'s domain
defined by '`x ≈ y` iff `f(x)` is related to `f(y)` by `c`.' "]
def comap (f : M → N) (H : ∀ x y, f (x * y) = f x * f y) (c : con N) : con M :=
{ mul' := λ w x y z h1 h2, show c (f (w * y)) (f (x * z)), by rw [H, H]; exact c.mul h1 h2,
..c.to_setoid.comap f }
section
open quotient
/-- Given a congruence relation `c` on a type `M` with a multiplication, the order-preserving
bijection between the set of congruence relations containing `c` and the congruence relations
on the quotient of `M` by `c`. -/
@[to_additive "Given an additive congruence relation `c` on a type `M` with an addition,
the order-preserving bijection between the set of additive congruence relations containing `c` and
the additive congruence relations on the quotient of `M` by `c`."]
def correspondence : {d // c ≤ d} ≃o (con c.quotient) :=
{ to_fun := λ d, d.1.map_of_surjective coe _
(by rw mul_ker_mk_eq; exact d.2) $ @exists_rep _ c.to_setoid,
inv_fun := λ d, ⟨comap (coe : M → c.quotient) (λ x y, rfl) d, λ _ _ h,
show d _ _, by rw c.eq.2 h; exact d.refl _ ⟩,
left_inv := λ d, subtype.ext_iff_val.2 $ ext $ λ _ _,
⟨λ h, let ⟨a, b, hx, hy, H⟩ := h in
d.1.trans (d.1.symm $ d.2 $ c.eq.1 hx) $ d.1.trans H $ d.2 $ c.eq.1 hy,
λ h, ⟨_, _, rfl, rfl, h⟩⟩,
right_inv := λ d, let Hm : mul_ker (coe : M → c.quotient) (λ x y, rfl) ≤
comap (coe : M → c.quotient) (λ x y, rfl) d :=
λ x y h, show d _ _, by rw mul_ker_mk_eq at h; exact c.eq.2 h ▸ d.refl _ in
ext $ λ x y, ⟨λ h, let ⟨a, b, hx, hy, H⟩ := h in hx ▸ hy ▸ H,
con.induction_on₂ x y $ λ w z h, ⟨w, z, rfl, rfl, h⟩⟩,
map_rel_iff' := λ s t, ⟨λ h _ _ hs, let ⟨a, b, hx, hy, Hs⟩ := hs in ⟨a, b, hx, hy, h Hs⟩,
λ h _ _ hs, let ⟨a, b, hx, hy, ht⟩ := h ⟨_, _, rfl, rfl, hs⟩ in
t.1.trans (t.1.symm $ t.2 $ eq_rel.1 hx) $ t.1.trans ht $ t.2 $ eq_rel.1 hy⟩ }
end
end
-- Monoids
variables {M} [monoid M] [monoid N] [monoid P] (c : con M)
/-- The quotient of a monoid by a congruence relation is a monoid. -/
@[to_additive "The quotient of an `add_monoid` by an additive congruence relation is
an `add_monoid`."]
instance monoid : monoid c.quotient :=
{ one := ((1 : M) : c.quotient),
mul := (*),
mul_assoc := λ x y z, quotient.induction_on₃' x y z
$ λ _ _ _, congr_arg coe $ mul_assoc _ _ _,
mul_one := λ x, quotient.induction_on' x $ λ _, congr_arg coe $ mul_one _,
one_mul := λ x, quotient.induction_on' x $ λ _, congr_arg coe $ one_mul _ }
/-- The quotient of a `comm_monoid` by a congruence relation is a `comm_monoid`. -/
@[to_additive "The quotient of an `add_comm_monoid` by an additive congruence
relation is an `add_comm_monoid`."]
instance comm_monoid {α : Type*} [comm_monoid α] (c : con α) :
comm_monoid c.quotient :=
{ mul_comm := λ x y, con.induction_on₂ x y $ λ w z, by rw [←coe_mul, ←coe_mul, mul_comm],
..c.monoid}
variables {c}
/-- The 1 of the quotient of a monoid by a congruence relation is the equivalence class of the
monoid's 1. -/
@[simp, to_additive "The 0 of the quotient of an `add_monoid` by an additive congruence relation
is the equivalence class of the `add_monoid`'s 0."]
lemma coe_one : ((1 : M) : c.quotient) = 1 := rfl
variables (M c)
/-- The submonoid of `M × M` defined by a congruence relation on a monoid `M`. -/
@[to_additive "The `add_submonoid` of `M × M` defined by an additive congruence
relation on an `add_monoid` `M`."]
protected def submonoid : submonoid (M × M) :=
{ carrier := { x | c x.1 x.2 },
one_mem' := c.iseqv.1 1,
mul_mem' := λ _ _, c.mul }
variables {M c}
/-- The congruence relation on a monoid `M` from a submonoid of `M × M` for which membership
is an equivalence relation. -/
@[to_additive "The additive congruence relation on an `add_monoid` `M` from
an `add_submonoid` of `M × M` for which membership is an equivalence relation."]
def of_submonoid (N : submonoid (M × M)) (H : equivalence (λ x y, (x, y) ∈ N)) : con M :=
{ r := λ x y, (x, y) ∈ N,
iseqv := H,
mul' := λ _ _ _ _, N.mul_mem }
/-- Coercion from a congruence relation `c` on a monoid `M` to the submonoid of `M × M` whose
elements are `(x, y)` such that `x` is related to `y` by `c`. -/
@[to_additive "Coercion from a congruence relation `c` on an `add_monoid` `M`
to the `add_submonoid` of `M × M` whose elements are `(x, y)` such that `x`
is related to `y` by `c`."]
instance to_submonoid : has_coe (con M) (submonoid (M × M)) := ⟨λ c, c.submonoid M⟩
@[to_additive] lemma mem_coe {c : con M} {x y} :
(x, y) ∈ (↑c : submonoid (M × M)) ↔ (x, y) ∈ c := iff.rfl
@[to_additive]
theorem to_submonoid_inj (c d : con M) (H : (c : submonoid (M × M)) = d) : c = d :=
ext $ λ x y, show (x, y) ∈ (c : submonoid (M × M)) ↔ (x, y) ∈ ↑d, by rw H
@[to_additive]
lemma le_iff {c d : con M} : c ≤ d ↔ (c : submonoid (M × M)) ≤ d :=
⟨λ h x H, h H, λ h x y hc, h $ show (x, y) ∈ c, from hc⟩
/-- The kernel of a monoid homomorphism as a congruence relation. -/
@[to_additive "The kernel of an `add_monoid` homomorphism as an additive congruence relation."]
def ker (f : M →* P) : con M := mul_ker f f.3
/-- The definition of the congruence relation defined by a monoid homomorphism's kernel. -/
@[to_additive "The definition of the additive congruence relation defined by an `add_monoid`
homomorphism's kernel."]
lemma ker_rel (f : M →* P) {x y} : ker f x y ↔ f x = f y := iff.rfl
/-- There exists an element of the quotient of a monoid by a congruence relation (namely 1). -/
@[to_additive "There exists an element of the quotient of an `add_monoid` by a congruence relation
(namely 0)."]
instance quotient.inhabited : inhabited c.quotient := ⟨((1 : M) : c.quotient)⟩
variables (c)
/-- The natural homomorphism from a monoid to its quotient by a congruence relation. -/
@[to_additive "The natural homomorphism from an `add_monoid` to its quotient by an additive
congruence relation."]
def mk' : M →* c.quotient := ⟨coe, rfl, λ _ _, rfl⟩
variables (x y : M)
/-- The kernel of the natural homomorphism from a monoid to its quotient by a congruence
relation `c` equals `c`. -/
@[simp, to_additive "The kernel of the natural homomorphism from an `add_monoid` to its quotient by
an additive congruence relation `c` equals `c`."]
lemma mk'_ker : ker c.mk' = c := ext $ λ _ _, c.eq
variables {c}
/-- The natural homomorphism from a monoid to its quotient by a congruence relation is
surjective. -/
@[to_additive "The natural homomorphism from an `add_monoid` to its quotient by a congruence
relation is surjective."]
lemma mk'_surjective : surjective c.mk' :=
λ x, by rcases x; exact ⟨x, rfl⟩
@[simp, to_additive] lemma comp_mk'_apply (g : c.quotient →* P) {x} :
g.comp c.mk' x = g x := rfl
/-- The elements related to `x ∈ M`, `M` a monoid, by the kernel of a monoid homomorphism are
those in the preimage of `f(x)` under `f`. -/
@[to_additive "The elements related to `x ∈ M`, `M` an `add_monoid`, by the kernel of
an `add_monoid` homomorphism are those in the preimage of `f(x)` under `f`. "]
lemma ker_apply_eq_preimage {f : M →* P} (x) : (ker f) x = f ⁻¹' {f x} :=
set.ext $ λ x,
⟨λ h, set.mem_preimage.2 $ set.mem_singleton_iff.2 h.symm,
λ h, (set.mem_singleton_iff.1 $ set.mem_preimage.1 h).symm⟩
/-- Given a monoid homomorphism `f : N → M` and a congruence relation `c` on `M`, the congruence
relation induced on `N` by `f` equals the kernel of `c`'s quotient homomorphism composed with
`f`. -/
@[to_additive "Given an `add_monoid` homomorphism `f : N → M` and an additive congruence relation
`c` on `M`, the additive congruence relation induced on `N` by `f` equals the kernel of `c`'s
quotient homomorphism composed with `f`."]
lemma comap_eq {f : N →* M} : comap f f.map_mul c = ker (c.mk'.comp f) :=
ext $ λ x y, show c _ _ ↔ c.mk' _ = c.mk' _, by rw ←c.eq; refl
variables (c) (f : M →* P)
/-- The homomorphism on the quotient of a monoid by a congruence relation `c` induced by a
homomorphism constant on `c`'s equivalence classes. -/
@[to_additive "The homomorphism on the quotient of an `add_monoid` by an additive congruence
relation `c` induced by a homomorphism constant on `c`'s equivalence classes."]
def lift (H : c ≤ ker f) : c.quotient →* P :=
{ to_fun := λ x, con.lift_on x f $ λ _ _ h, H h,
map_one' := by rw ←f.map_one; refl,
map_mul' := λ x y, con.induction_on₂ x y $ λ m n, f.map_mul m n ▸ rfl }
variables {c f}
/-- The diagram describing the universal property for quotients of monoids commutes. -/
@[simp, to_additive "The diagram describing the universal property for quotients of `add_monoid`s
commutes."]
lemma lift_mk' (H : c ≤ ker f) (x) :
c.lift f H (c.mk' x) = f x := rfl
/-- The diagram describing the universal property for quotients of monoids commutes. -/
@[simp, to_additive "The diagram describing the universal property for quotients of `add_monoid`s
commutes."]
lemma lift_coe (H : c ≤ ker f) (x : M) :
c.lift f H x = f x := rfl
/-- The diagram describing the universal property for quotients of monoids commutes. -/
@[simp, to_additive "The diagram describing the universal property for quotients of `add_monoid`s
commutes."]
theorem lift_comp_mk' (H : c ≤ ker f) :
(c.lift f H).comp c.mk' = f := by ext; refl
/-- Given a homomorphism `f` from the quotient of a monoid by a congruence relation, `f` equals the
homomorphism on the quotient induced by `f` composed with the natural map from the monoid to
the quotient. -/
@[simp, to_additive "Given a homomorphism `f` from the quotient of an `add_monoid` by an additive
congruence relation, `f` equals the homomorphism on the quotient induced by `f` composed with the
natural map from the `add_monoid` to the quotient."]
lemma lift_apply_mk' (f : c.quotient →* P) :
c.lift (f.comp c.mk') (λ x y h, show f ↑x = f ↑y, by rw c.eq.2 h) = f :=
by ext; rcases x; refl
/-- Homomorphisms on the quotient of a monoid by a congruence relation are equal if they
are equal on elements that are coercions from the monoid. -/
@[to_additive "Homomorphisms on the quotient of an `add_monoid` by an additive congruence relation
are equal if they are equal on elements that are coercions from the `add_monoid`."]
lemma lift_funext (f g : c.quotient →* P) (h : ∀ a : M, f a = g a) : f = g :=
begin
rw [←lift_apply_mk' f, ←lift_apply_mk' g],
congr' 1,
exact monoid_hom.ext_iff.2 h,
end
/-- The uniqueness part of the universal property for quotients of monoids. -/
@[to_additive "The uniqueness part of the universal property for quotients of `add_monoid`s."]
theorem lift_unique (H : c ≤ ker f) (g : c.quotient →* P)
(Hg : g.comp c.mk' = f) : g = c.lift f H :=
lift_funext g (c.lift f H) $ λ x, by rw [lift_coe H, ←comp_mk'_apply, Hg]
/-- Given a congruence relation `c` on a monoid and a homomorphism `f` constant on `c`'s
equivalence classes, `f` has the same image as the homomorphism that `f` induces on the
quotient. -/
@[to_additive "Given an additive congruence relation `c` on an `add_monoid` and a homomorphism `f`
constant on `c`'s equivalence classes, `f` has the same image as the homomorphism that `f` induces
on the quotient."]
theorem lift_range (H : c ≤ ker f) : (c.lift f H).mrange = f.mrange :=
submonoid.ext $ λ x,
⟨λ ⟨y, hy⟩, by revert hy; rcases y; exact
λ hy, ⟨y, hy.1, by rw [hy.2.symm, ←lift_coe H]; refl⟩,
λ ⟨y, hy⟩, ⟨↑y, hy.1, by rw ←hy.2; refl⟩⟩
/-- Surjective monoid homomorphisms constant on a congruence relation `c`'s equivalence classes
induce a surjective homomorphism on `c`'s quotient. -/
@[to_additive "Surjective `add_monoid` homomorphisms constant on an additive congruence
relation `c`'s equivalence classes induce a surjective homomorphism on `c`'s quotient."]
lemma lift_surjective_of_surjective (h : c ≤ ker f) (hf : surjective f) :
surjective (c.lift f h) :=
λ y, exists.elim (hf y) $ λ w hw, ⟨w, (lift_mk' h w).symm ▸ hw⟩
variables (c f)
/-- Given a monoid homomorphism `f` from `M` to `P`, the kernel of `f` is the unique congruence
relation on `M` whose induced map from the quotient of `M` to `P` is injective. -/
@[to_additive "Given an `add_monoid` homomorphism `f` from `M` to `P`, the kernel of `f`
is the unique additive congruence relation on `M` whose induced map from the quotient of `M`
to `P` is injective."]
lemma ker_eq_lift_of_injective (H : c ≤ ker f) (h : injective (c.lift f H)) :
ker f = c :=
to_setoid_inj $ ker_eq_lift_of_injective f H h
variables {c}
/-- The homomorphism induced on the quotient of a monoid by the kernel of a monoid homomorphism. -/
@[to_additive "The homomorphism induced on the quotient of an `add_monoid` by the kernel
of an `add_monoid` homomorphism."]
def ker_lift : (ker f).quotient →* P :=
(ker f).lift f $ λ _ _, id
variables {f}
/-- The diagram described by the universal property for quotients of monoids, when the congruence
relation is the kernel of the homomorphism, commutes. -/
@[simp, to_additive "The diagram described by the universal property for quotients
of `add_monoid`s, when the additive congruence relation is the kernel of the homomorphism,
commutes."]
lemma ker_lift_mk (x : M) : ker_lift f x = f x := rfl
/-- Given a monoid homomorphism `f`, the induced homomorphism on the quotient by `f`'s kernel has
the same image as `f`. -/
@[simp, to_additive "Given an `add_monoid` homomorphism `f`, the induced homomorphism
on the quotient by `f`'s kernel has the same image as `f`."]
lemma ker_lift_range_eq : (ker_lift f).mrange = f.mrange :=
lift_range $ λ _ _, id
/-- A monoid homomorphism `f` induces an injective homomorphism on the quotient by `f`'s kernel. -/
@[to_additive "An `add_monoid` homomorphism `f` induces an injective homomorphism on the quotient
by `f`'s kernel."]
lemma ker_lift_injective (f : M →* P) : injective (ker_lift f) :=
λ x y, quotient.induction_on₂' x y $ λ _ _, (ker f).eq.2
/-- Given congruence relations `c, d` on a monoid such that `d` contains `c`, `d`'s quotient
map induces a homomorphism from the quotient by `c` to the quotient by `d`. -/
@[to_additive "Given additive congruence relations `c, d` on an `add_monoid` such that `d`
contains `c`, `d`'s quotient map induces a homomorphism from the quotient by `c` to the quotient
by `d`."]
def map (c d : con M) (h : c ≤ d) : c.quotient →* d.quotient :=
c.lift d.mk' $ λ x y hc, show (ker d.mk') x y, from
(mk'_ker d).symm ▸ h hc
/-- Given congruence relations `c, d` on a monoid such that `d` contains `c`, the definition of
the homomorphism from the quotient by `c` to the quotient by `d` induced by `d`'s quotient
map. -/
@[to_additive "Given additive congruence relations `c, d` on an `add_monoid` such that `d`
contains `c`, the definition of the homomorphism from the quotient by `c` to the quotient by `d`
induced by `d`'s quotient map."]
lemma map_apply {c d : con M} (h : c ≤ d) (x) :
c.map d h x = c.lift d.mk' (λ x y hc, d.eq.2 $ h hc) x := rfl
variables (c)
/-- The first isomorphism theorem for monoids. -/
@[to_additive "The first isomorphism theorem for `add_monoid`s."]
noncomputable def quotient_ker_equiv_range (f : M →* P) : (ker f).quotient ≃* f.mrange :=
{ map_mul' := monoid_hom.map_mul _,
..equiv.of_bijective
((@mul_equiv.to_monoid_hom (ker_lift f).mrange _ _ _
$ mul_equiv.submonoid_congr ker_lift_range_eq).comp (ker_lift f).mrange_restrict) $
(equiv.bijective _).comp
⟨λ x y h, ker_lift_injective f $ by rcases x; rcases y; injections,
λ ⟨w, z, hzm, hz⟩, ⟨z, by rcases hz; rcases _x; refl⟩⟩ }
/-- The first isomorphism theorem for monoids in the case of a surjective homomorphism. -/
@[to_additive "The first isomorphism theorem for `add_monoid`s in the case of a surjective
homomorphism."]
noncomputable def quotient_ker_equiv_of_surjective (f : M →* P) (hf : surjective f) :
(ker f).quotient ≃* P :=
{ map_mul' := monoid_hom.map_mul _,
..equiv.of_bijective (ker_lift f)
⟨ker_lift_injective f, lift_surjective_of_surjective (le_refl _) hf⟩ }
/-- The second isomorphism theorem for monoids. -/
@[to_additive "The second isomorphism theorem for `add_monoid`s."]
noncomputable def comap_quotient_equiv (f : N →* M) :
(comap f f.map_mul c).quotient ≃* (c.mk'.comp f).mrange :=
(con.congr comap_eq).trans $ quotient_ker_equiv_range $ c.mk'.comp f
/-- The third isomorphism theorem for monoids. -/
@[to_additive "The third isomorphism theorem for `add_monoid`s."]
def quotient_quotient_equiv_quotient (c d : con M) (h : c ≤ d) :
(ker (c.map d h)).quotient ≃* d.quotient :=
{ map_mul' := λ x y, con.induction_on₂ x y $ λ w z, con.induction_on₂ w z $ λ a b,
show _ = d.mk' a * d.mk' b, by rw ←d.mk'.map_mul; refl,
..quotient_quotient_equiv_quotient c.to_setoid d.to_setoid h }
end con
|
a55181a85b84f27dd2b3956d9bef239861a7d15c | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /tests/lean/run/simp1.lean | 41933a52dc9996a2c799be67b1fdc4225380e2a5 | [
"Apache-2.0"
] | permissive | soonhokong/lean-osx | 4a954262c780e404c1369d6c06516161d07fcb40 | 3670278342d2f4faa49d95b46d86642d7875b47c | refs/heads/master | 1,611,410,334,552 | 1,474,425,686,000 | 1,474,425,686,000 | 12,043,103 | 5 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 296 | lean | constants (A : Type.{1}) (f : A → A → A) (x y z : A) (g : A → A)
attribute [simp]
lemma foo : f x y = y := sorry
attribute [simp]
lemma bar : g y = z := sorry
open tactic
set_option trace.simplifier.failure true
example : g (f x y) = z := by simp
example : g (f x (f x y)) = z := by simp
|
222f89d09ce64f2aacd63ea76e6710d054bb6540 | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/analysis/box_integral/basic.lean | 2e4f45315bf32817ab41d186ddfd4278079509ce | [
"Apache-2.0"
] | permissive | waynemunro/mathlib | e3fd4ff49f4cb43d4a8ded59d17be407bc5ee552 | 065a70810b5480d584033f7bbf8e0409480c2118 | refs/heads/master | 1,693,417,182,397 | 1,634,644,781,000 | 1,634,644,781,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 43,290 | lean | /-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import analysis.box_integral.partition.filter
import analysis.box_integral.partition.measure
import topology.uniform_space.compact_separated
/-!
# Integrals of Riemann, Henstock-Kurzweil, and McShane
In this file we define the integral of a function over a box in `ℝⁿ. The same definition works for
Riemann, Henstock-Kurzweil, and McShane integrals.
As usual, we represent `ℝⁿ` as the type of functions `ι → ℝ` for some finite type `ι`. A rectangular
box `(l, u]` in `ℝⁿ` is defined to be the set `{x : ι → ℝ | ∀ i, l i < x i ∧ x i ≤ u i}`, see
`box_integral.box`.
Let `vol` be a box-additive function on boxes in `ℝⁿ` with codomain `E →L[ℝ] F`. Given a function
`f : ℝⁿ → E`, a box `I` and a tagged partition `π` of this box, the *integral sum* of `f` over `π`
with respect to the volume `vol` is the sum of `vol J (f (π.tag J))` over all boxes of `π`. Here
`π.tag J` is the point (tag) in `ℝⁿ` associated with the box `J`.
The integral is defined as the limit of integral sums along a filter. Different filters correspond
to different integration theories. In order to avoid code duplication, all our definitions and
theorems take an argument `l : box_integral.integration_params`. This is a type that holds three
boolean values, and encodes eight filters including those corresponding to Riemann,
Henstock-Kurzweil, and McShane integrals.
Following the design of infinite sums (see `has_sum` and `tsum`), we define a predicate
`box_integral.has_integral` and a function `box_integral.integral` that returns a vector satisfying
the predicate or zero if the function is not integrable.
Then we prove some basic properties of box integrals (linearity, a formula for the integral of a
constant). We also prove a version of the Henstock-Sacks inequality (see
`box_integral.integrable.dist_integral_sum_le_of_mem_base_set` and
`box_integral.integrable.dist_integral_sum_sum_integral_le_of_mem_base_set_of_Union_eq`), prove
integrability of continuous functions, and provide a criterion for integrability w.r.t. a
non-Riemann filter (e.g., Henstock-Kurzweil and McShane).
## Notation
- `ℝⁿ`: local notation for `ι → ℝ`
## Tags
integral
-/
open_locale big_operators classical topological_space nnreal filter uniformity box_integral
open set finset function filter metric box_integral.integration_params
noncomputable theory
namespace box_integral
universes u v w
variables {ι : Type u} {E : Type v} {F : Type w} [normed_group E] [normed_space ℝ E]
[normed_group F] [normed_space ℝ F] {I J : box ι} {π : tagged_prepartition I}
open tagged_prepartition
local notation `ℝⁿ` := ι → ℝ
/-!
### Integral sum and its basic properties
-/
/-- The integral sum of `f : ℝⁿ → E` over a tagged prepartition `π` w.r.t. box-additive volume `vol`
with codomain `E →L[ℝ] F` is the sum of `vol J (f (π.tag J))` over all boxes of `π`. -/
def integral_sum (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F)) (π : tagged_prepartition I) : F :=
∑ J in π.boxes, vol J (f (π.tag J))
lemma integral_sum_bUnion_tagged (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F)) (π : prepartition I)
(πi : Π J, tagged_prepartition J) :
integral_sum f vol (π.bUnion_tagged πi) = ∑ J in π.boxes, integral_sum f vol (πi J) :=
begin
refine (π.sum_bUnion_boxes _ _).trans (sum_congr rfl $ λ J hJ, sum_congr rfl $ λ J' hJ', _),
rw π.tag_bUnion_tagged hJ hJ'
end
lemma integral_sum_bUnion_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F))
(π : tagged_prepartition I) (πi : Π J, prepartition J) (hπi : ∀ J ∈ π, (πi J).is_partition) :
integral_sum f vol (π.bUnion_prepartition πi) = integral_sum f vol π :=
begin
refine (π.to_prepartition.sum_bUnion_boxes _ _).trans (sum_congr rfl $ λ J hJ, _),
calc ∑ J' in (πi J).boxes, vol J' (f (π.tag $ π.to_prepartition.bUnion_index πi J'))
= ∑ J' in (πi J).boxes, vol J' (f (π.tag J)) :
sum_congr rfl (λ J' hJ', by rw [prepartition.bUnion_index_of_mem _ hJ hJ'])
... = vol J (f (π.tag J)) :
(vol.map ⟨λ g : E →L[ℝ] F, g (f (π.tag J)), rfl, λ _ _, rfl⟩).sum_partition_boxes
le_top (hπi J hJ)
end
lemma integral_sum_inf_partition (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F))
(π : tagged_prepartition I) {π' : prepartition I} (h : π'.is_partition) :
integral_sum f vol (π.inf_prepartition π') = integral_sum f vol π :=
integral_sum_bUnion_partition f vol π _ $ λ J hJ, h.restrict (prepartition.le_of_mem _ hJ)
lemma integral_sum_fiberwise {α} (g : box ι → α) (f : ℝⁿ → E)
(vol : ι →ᵇᵃ (E →L[ℝ] F)) (π : tagged_prepartition I) :
∑ y in π.boxes.image g, integral_sum f vol (π.filter (λ x, g x = y)) = integral_sum f vol π :=
π.to_prepartition.sum_fiberwise g (λ J, vol J (f $ π.tag J))
lemma integral_sum_sub_partitions (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F))
{π₁ π₂ : tagged_prepartition I} (h₁ : π₁.is_partition) (h₂ : π₂.is_partition) :
integral_sum f vol π₁ - integral_sum f vol π₂ =
∑ J in (π₁.to_prepartition ⊓ π₂.to_prepartition).boxes,
(vol J (f $ (π₁.inf_prepartition π₂.to_prepartition).tag J) -
vol J (f $ (π₂.inf_prepartition π₁.to_prepartition).tag J)) :=
begin
rw [← integral_sum_inf_partition f vol π₁ h₂,
← integral_sum_inf_partition f vol π₂ h₁, integral_sum, integral_sum,
finset.sum_sub_distrib],
simp only [inf_prepartition_to_prepartition, inf_comm]
end
@[simp] lemma integral_sum_disj_union (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F))
{π₁ π₂ : tagged_prepartition I} (h : disjoint π₁.Union π₂.Union) :
integral_sum f vol (π₁.disj_union π₂ h) = integral_sum f vol π₁ + integral_sum f vol π₂ :=
begin
refine (prepartition.sum_disj_union_boxes h _).trans
(congr_arg2 (+) (sum_congr rfl $ λ J hJ, _) (sum_congr rfl $ λ J hJ, _)),
{ rw disj_union_tag_of_mem_left _ hJ },
{ rw disj_union_tag_of_mem_right _ hJ }
end
@[simp] lemma integral_sum_add (f g : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F))
(π : tagged_prepartition I) :
integral_sum (f + g) vol π = integral_sum f vol π + integral_sum g vol π :=
by simp only [integral_sum, pi.add_apply, (vol _).map_add, finset.sum_add_distrib]
@[simp] lemma integral_sum_neg (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F))
(π : tagged_prepartition I) :
integral_sum (-f) vol π = -integral_sum f vol π :=
by simp only [integral_sum, pi.neg_apply, (vol _).map_neg, finset.sum_neg_distrib]
@[simp] lemma integral_sum_smul (c : ℝ) (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F))
(π : tagged_prepartition I) :
integral_sum (c • f) vol π = c • integral_sum f vol π :=
by simp only [integral_sum, finset.smul_sum, pi.smul_apply, continuous_linear_map.map_smul]
variables [fintype ι]
/-!
### Basic integrability theory
-/
/-- The predicate `has_integral I l f vol y` says that `y` is the integral of `f` over `I` along `l`
w.r.t. volume `vol`. This means that integral sums of `f` tend to `𝓝 y` along
`box_integral.integration_params.to_filter_Union I ⊤`. -/
def has_integral (I : box ι) (l : integration_params) (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F))
(y : F) : Prop :=
tendsto (integral_sum f vol) (l.to_filter_Union I ⊤) (𝓝 y)
/-- A function is integrable if there exists a vector that satisfies the `has_integral`
predicate. -/
def integrable (I : box ι) (l : integration_params) (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F)) :=
∃ y, has_integral I l f vol y
/-- The integral of a function `f` over a box `I` along a filter `l` w.r.t. a volume `vol`. Returns
zero on non-integrable functions. -/
def integral (I : box ι) (l : integration_params) (f : ℝⁿ → E) (vol : ι →ᵇᵃ (E →L[ℝ] F)) :=
if h : integrable I l f vol then h.some else 0
variables {l : integration_params} {f g : ℝⁿ → E} {vol : ι →ᵇᵃ (E →L[ℝ] F)} {y y' : F}
/-- Reinterpret `box_integral.has_integral` as `filter.tendsto`, e.g., dot-notation theorems
that are shadowed in the `box_integral.has_integral` namespace. -/
lemma has_integral.tendsto (h : has_integral I l f vol y) :
tendsto (integral_sum f vol) (l.to_filter_Union I ⊤) (𝓝 y) := h
/-- The `ε`-`δ` definition of `box_integral.has_integral`. -/
lemma has_integral_iff : has_integral I l f vol y ↔
∀ ε > (0 : ℝ), ∃ r : ℝ≥0 → ℝⁿ → Ioi (0 : ℝ), (∀ c, l.r_cond (r c)) ∧
∀ c π, l.mem_base_set I c (r c) π → is_partition π → dist (integral_sum f vol π) y ≤ ε :=
((l.has_basis_to_filter_Union_top I).tendsto_iff nhds_basis_closed_ball).trans $
by simp [@forall_swap ℝ≥0 (tagged_prepartition I)]
/-- Quite often it is more natural to prove an estimate of the form `a * ε`, not `ε` in the RHS of
`box_integral.has_integral_iff`, so we provide this auxiliary lemma. -/
lemma has_integral_of_mul (a : ℝ) (h : ∀ ε : ℝ, 0 < ε →
∃ r: ℝ≥0 → ℝⁿ → Ioi (0 : ℝ), (∀ c, l.r_cond (r c)) ∧ ∀ c π, l.mem_base_set I c (r c) π →
is_partition π → dist (integral_sum f vol π) y ≤ a * ε) :
has_integral I l f vol y :=
begin
refine has_integral_iff.2 (λ ε hε, _),
rcases exists_pos_mul_lt hε a with ⟨ε', hε', ha⟩,
rcases h ε' hε' with ⟨r, hr, H⟩,
exact ⟨r, hr, λ c π hπ hπp, (H c π hπ hπp).trans ha.le⟩
end
lemma integrable_iff_cauchy [complete_space F] :
integrable I l f vol ↔ cauchy ((l.to_filter_Union I ⊤).map (integral_sum f vol)) :=
cauchy_map_iff_exists_tendsto.symm
/-- In a complete space, a function is integrable if and only if its integral sums form a Cauchy
net. Here we restate this fact in terms of `∀ ε > 0, ∃ r, ...`. -/
lemma integrable_iff_cauchy_basis [complete_space F] :
integrable I l f vol ↔ ∀ ε > (0 : ℝ), ∃ r : ℝ≥0 → ℝⁿ → Ioi (0 : ℝ), (∀ c, l.r_cond (r c)) ∧
∀ c₁ c₂ π₁ π₂, l.mem_base_set I c₁ (r c₁) π₁ → π₁.is_partition → l.mem_base_set I c₂ (r c₂) π₂ →
π₂.is_partition → dist (integral_sum f vol π₁) (integral_sum f vol π₂) ≤ ε :=
begin
rw [integrable_iff_cauchy, cauchy_map_iff',
(l.has_basis_to_filter_Union_top _).prod_self.tendsto_iff uniformity_basis_dist_le],
refine forall_congr (λ ε, forall_congr $ λ ε0, exists_congr $ λ r, _),
simp only [exists_prop, prod.forall, set.mem_Union, exists_imp_distrib,
prod_mk_mem_set_prod_eq, and_imp, mem_inter_eq, mem_set_of_eq],
exact and_congr iff.rfl ⟨λ H c₁ c₂ π₁ π₂ h₁ hU₁ h₂ hU₂, H π₁ π₂ c₁ h₁ hU₁ c₂ h₂ hU₂,
λ H π₁ π₂ c₁ h₁ hU₁ c₂ h₂ hU₂, H c₁ c₂ π₁ π₂ h₁ hU₁ h₂ hU₂⟩
end
lemma has_integral.mono {l₁ l₂ : integration_params} (h : has_integral I l₁ f vol y)
(hl : l₂ ≤ l₁) : has_integral I l₂ f vol y :=
h.mono_left $ integration_params.to_filter_Union_mono _ hl _
protected lemma integrable.has_integral (h : integrable I l f vol) :
has_integral I l f vol (integral I l f vol) :=
by { rw [integral, dif_pos h], exact classical.some_spec h }
lemma integrable.mono {l'} (h : integrable I l f vol) (hle : l' ≤ l) : integrable I l' f vol :=
⟨_, h.has_integral.mono hle⟩
lemma has_integral.unique (h : has_integral I l f vol y) (h' : has_integral I l f vol y') :
y = y' :=
tendsto_nhds_unique h h'
lemma has_integral.integrable (h : has_integral I l f vol y) : integrable I l f vol := ⟨_, h⟩
lemma has_integral.integral_eq (h : has_integral I l f vol y) :
integral I l f vol = y :=
h.integrable.has_integral.unique h
lemma has_integral.add (h : has_integral I l f vol y) (h' : has_integral I l g vol y') :
has_integral I l (f + g) vol (y + y') :=
by simpa only [has_integral, ← integral_sum_add] using h.add h'
lemma integrable.add (hf : integrable I l f vol) (hg : integrable I l g vol) :
integrable I l (f + g) vol :=
(hf.has_integral.add hg.has_integral).integrable
lemma integral_add (hf : integrable I l f vol) (hg : integrable I l g vol) :
integral I l (f + g) vol = integral I l f vol + integral I l g vol :=
(hf.has_integral.add hg.has_integral).integral_eq
lemma has_integral.neg (hf : has_integral I l f vol y) : has_integral I l (-f) vol (-y) :=
by simpa only [has_integral, ← integral_sum_neg] using hf.neg
lemma integrable.neg (hf : integrable I l f vol) : integrable I l (-f) vol :=
hf.has_integral.neg.integrable
lemma integrable.of_neg (hf : integrable I l (-f) vol) : integrable I l f vol := neg_neg f ▸ hf.neg
@[simp] lemma integrable_neg : integrable I l (-f) vol ↔ integrable I l f vol :=
⟨λ h, h.of_neg, λ h, h.neg⟩
@[simp] lemma integral_neg : integral I l (-f) vol = -integral I l f vol :=
if h : integrable I l f vol then h.has_integral.neg.integral_eq
else by rw [integral, integral, dif_neg h, dif_neg (mt integrable.of_neg h), neg_zero]
lemma has_integral.sub (h : has_integral I l f vol y) (h' : has_integral I l g vol y') :
has_integral I l (f - g) vol (y - y') :=
by simpa only [sub_eq_add_neg] using h.add h'.neg
lemma integrable.sub (hf : integrable I l f vol) (hg : integrable I l g vol) :
integrable I l (f - g) vol :=
(hf.has_integral.sub hg.has_integral).integrable
lemma integral_sub (hf : integrable I l f vol) (hg : integrable I l g vol) :
integral I l (f - g) vol = integral I l f vol - integral I l g vol :=
(hf.has_integral.sub hg.has_integral).integral_eq
lemma has_integral_const (c : E) : has_integral I l (λ _, c) vol (vol I c) :=
tendsto_const_nhds.congr' $ (l.eventually_is_partition I).mono $ λ π hπ,
((vol.map ⟨λ g : E →L[ℝ] F, g c, rfl, λ _ _, rfl⟩).sum_partition_boxes le_top hπ).symm
@[simp] lemma integral_const (c : E) : integral I l (λ _, c) vol = vol I c :=
(has_integral_const c).integral_eq
lemma integrable_const (c : E) : integrable I l (λ _, c) vol :=
⟨_, has_integral_const c⟩
lemma has_integral_zero : has_integral I l (λ _, (0:E)) vol 0 :=
by simpa only [← (vol I).map_zero] using has_integral_const (0 : E)
lemma integrable_zero : integrable I l (λ _, (0:E)) vol := ⟨0, has_integral_zero⟩
lemma integral_zero : integral I l (λ _, (0:E)) vol = 0 := has_integral_zero.integral_eq
lemma has_integral_sum {α : Type*} {s : finset α} {f : α → ℝⁿ → E} {g : α → F}
(h : ∀ i ∈ s, has_integral I l (f i) vol (g i)) :
has_integral I l (λ x, ∑ i in s, f i x) vol (∑ i in s, g i) :=
begin
induction s using finset.induction_on with a s ha ihs, { simp [has_integral_zero] },
simp only [finset.sum_insert ha], rw finset.forall_mem_insert at h,
exact h.1.add (ihs h.2)
end
lemma has_integral.smul (hf : has_integral I l f vol y) (c : ℝ) :
has_integral I l (c • f) vol (c • y) :=
by simpa only [has_integral, ← integral_sum_smul]
using (tendsto_const_nhds : tendsto _ _ (𝓝 c)).smul hf
lemma integrable.smul (hf : integrable I l f vol) (c : ℝ) :
integrable I l (c • f) vol :=
(hf.has_integral.smul c).integrable
lemma integrable.of_smul {c : ℝ} (hf : integrable I l (c • f) vol) (hc : c ≠ 0) :
integrable I l f vol :=
by { convert hf.smul c⁻¹, ext x, simp only [pi.smul_apply, inv_smul_smul₀ hc] }
@[simp] lemma integral_smul (c : ℝ) : integral I l (λ x, c • f x) vol = c • integral I l f vol :=
begin
rcases eq_or_ne c 0 with rfl | hc, { simp only [zero_smul, integral_zero] },
by_cases hf : integrable I l f vol,
{ exact (hf.has_integral.smul c).integral_eq },
{ have : ¬integrable I l (λ x, c • f x) vol, from mt (λ h, h.of_smul hc) hf,
rw [integral, integral, dif_neg hf, dif_neg this, smul_zero] }
end
open measure_theory
/-- The integral of a nonnegative function w.r.t. a volume generated by a locally-finite measure is
nonnegative. -/
lemma integral_nonneg {g : ℝⁿ → ℝ} (hg : ∀ x ∈ I.Icc, 0 ≤ g x)
(μ : measure ℝⁿ) [is_locally_finite_measure μ] :
0 ≤ integral I l g μ.to_box_additive.to_smul :=
begin
by_cases hgi : integrable I l g μ.to_box_additive.to_smul,
{ refine ge_of_tendsto' hgi.has_integral (λ π, sum_nonneg $ λ J hJ, _),
exact mul_nonneg ennreal.to_real_nonneg (hg _ $ π.tag_mem_Icc _) },
{ rw [integral, dif_neg hgi] }
end
/-- If `∥f x∥ ≤ g x` on `[l, u]` and `g` is integrable, then the norm of the integral of `f` is less
than or equal to the integral of `g`. -/
lemma norm_integral_le_of_norm_le {g : ℝⁿ → ℝ} (hle : ∀ x ∈ I.Icc, ∥f x∥ ≤ g x)
(μ : measure ℝⁿ) [is_locally_finite_measure μ]
(hg : integrable I l g μ.to_box_additive.to_smul) :
∥(integral I l f μ.to_box_additive.to_smul : E)∥ ≤
integral I l g μ.to_box_additive.to_smul :=
begin
by_cases hfi : integrable.{u v v} I l f μ.to_box_additive.to_smul,
{ refine le_of_tendsto_of_tendsto' hfi.has_integral.norm hg.has_integral (λ π, _),
refine norm_sum_le_of_le _ (λ J hJ, _),
simp only [box_additive_map.to_smul_apply, norm_smul, smul_eq_mul, real.norm_eq_abs,
μ.to_box_additive_apply, abs_of_nonneg ennreal.to_real_nonneg],
exact mul_le_mul_of_nonneg_left (hle _ $ π.tag_mem_Icc _) ennreal.to_real_nonneg },
{ rw [integral, dif_neg hfi, norm_zero],
exact integral_nonneg (λ x hx, (norm_nonneg _).trans (hle x hx)) μ }
end
lemma norm_integral_le_of_le_const {c : ℝ} (hc : ∀ x ∈ I.Icc, ∥f x∥ ≤ c)
(μ : measure ℝⁿ) [is_locally_finite_measure μ] :
∥(integral I l f μ.to_box_additive.to_smul : E)∥ ≤ (μ I).to_real * c :=
by simpa only [integral_const]
using norm_integral_le_of_norm_le hc μ (integrable_const c)
/-!
# Henstock-Sacks inequality and integrability on subboxes
Henstock-Sacks inequality for Henstock-Kurzweil integral says the following. Let `f` be a function
integrable on a box `I`; let `r : ℝⁿ → (0, ∞)` be a function such that for any tagged partition of
`I` subordinate to `r`, the integral sum over this partition is `ε`-close to the integral. Then for
any tagged prepartition (i.e. a finite collections of pairwise disjoint subboxes of `I` with tagged
points) `π`, the integral sum over `π` differs from the integral of `f` over the part of `I` covered
by `π` by at most `ε`. The actual statement in the library is a bit more complicated to make it work
for any `box_integral.integration_params`. We formalize several versions of this inequality in
`box_integral.integrable.dist_integral_sum_le_of_mem_base_set`,
`box_integral.integrable.dist_integral_sum_sum_integral_le_of_mem_base_set_of_Union_eq`, and
`box_integral.integrable.dist_integral_sum_sum_integral_le_of_mem_base_set`.
Instead of using predicate assumptions on `r`, we define
`box_integral.integrable.convergence_r (h : integrable I l f vol) (ε : ℝ) (c : ℝ≥0) : ℝⁿ → (0, ∞)`
to be a function `r` such that
- if `l.bRiemann`, then `r` is a constant;
- if `ε > 0`, then for any tagged partition `π` of `I` subordinate to `r` (more precisely,
satisfying the predicate `l.mem_base_set I c r`), the integral sum of `f` over `π` differs from
the integral of `f` over `I` by at most `ε`.
The proof is mostly based on
[Russel A. Gordon, *The integrals of Lebesgue, Denjoy, Perron, and Henstock*][Gordon55].
-/
namespace integrable
/-- If `ε > 0`, then `box_integral.integrable.convergence_r` is a function `r : ℝ≥0 → ℝⁿ → (0, ∞)`
such that for every `c : ℝ≥0`, for every tagged partition `π` subordinate to `r` (and satisfying
additional distortion estimates if `box_integral.integration_params.bDistortion l = tt`), the
corresponding integral sum is `ε`-close to the integral.
If `box.integral.integration_params.bRiemann = tt`, then `r c x` does not depend on `x`. If `ε ≤ 0`,
then we use `r c x = 1`. -/
def convergence_r (h : integrable I l f vol) (ε : ℝ) : ℝ≥0 → ℝⁿ → Ioi (0 : ℝ) :=
if hε : 0 < ε then (has_integral_iff.1 h.has_integral ε hε).some
else λ _ _, ⟨1, set.mem_Ioi.2 zero_lt_one⟩
variables {c c₁ c₂ : ℝ≥0} {ε ε₁ ε₂ : ℝ} {π₁ π₂ : tagged_prepartition I}
lemma convergence_r_cond (h : integrable I l f vol) (ε : ℝ) (c : ℝ≥0) :
l.r_cond (h.convergence_r ε c) :=
begin
rw convergence_r, split_ifs with h₀,
exacts [(has_integral_iff.1 h.has_integral ε h₀).some_spec.1 _, λ _ x, rfl]
end
lemma dist_integral_sum_integral_le_of_mem_base_set (h : integrable I l f vol) (h₀ : 0 < ε)
(hπ : l.mem_base_set I c (h.convergence_r ε c) π) (hπp : π.is_partition) :
dist (integral_sum f vol π) (integral I l f vol) ≤ ε :=
begin
rw [convergence_r, dif_pos h₀] at hπ,
exact (has_integral_iff.1 h.has_integral ε h₀).some_spec.2 c _ hπ hπp
end
/-- **Henstock-Sacks inequality**. Let `r₁ r₂ : ℝⁿ → (0, ∞)` be function such that for any tagged
*partition* of `I` subordinate to `rₖ`, `k=1,2`, the integral sum of `f` over this partition differs
from the integral of `f` by at most `εₖ`. Then for any two tagged *prepartition* `π₁ π₂` subordinate
to `r₁` and `r₂` respectively and covering the same part of `I`, the integral sums of `f` over these
prepartitions differ from each other by at most `ε₁ + ε₂`.
The actual statement
- uses `box_integral.integrable.convergence_r` instead of a predicate assumption on `r`;
- uses `box_integral.integration_params.mem_base_set` instead of “subordinate to `r`” to
account for additional requirements like being a Henstock partition or having a bounded
distortion.
See also `box_integral.integrable.dist_integral_sum_sum_integral_le_of_mem_base_set_of_Union_eq` and
`box_integral.integrable.dist_integral_sum_sum_integral_le_of_mem_base_set`.
-/
lemma dist_integral_sum_le_of_mem_base_set (h : integrable I l f vol)
(hpos₁ : 0 < ε₁) (hpos₂ : 0 < ε₂) (h₁ : l.mem_base_set I c₁ (h.convergence_r ε₁ c₁) π₁)
(h₂ : l.mem_base_set I c₂ (h.convergence_r ε₂ c₂) π₂) (HU : π₁.Union = π₂.Union) :
dist (integral_sum f vol π₁) (integral_sum f vol π₂) ≤ ε₁ + ε₂ :=
begin
rcases h₁.exists_common_compl h₂ HU with ⟨π, hπU, hπc₁, hπc₂⟩,
set r : ℝⁿ → Ioi (0 : ℝ) := λ x, min (h.convergence_r ε₁ c₁ x) (h.convergence_r ε₂ c₂ x),
have hr : l.r_cond r := (h.convergence_r_cond _ c₁).min (h.convergence_r_cond _ c₂),
set πr := π.to_subordinate r,
have H₁ : dist (integral_sum f vol (π₁.union_compl_to_subordinate π hπU r))
(integral I l f vol) ≤ ε₁,
from h.dist_integral_sum_integral_le_of_mem_base_set hpos₁
(h₁.union_compl_to_subordinate (λ _ _, min_le_left _ _) hπU hπc₁)
(is_partition_union_compl_to_subordinate _ _ _ _),
rw HU at hπU,
have H₂ : dist (integral_sum f vol (π₂.union_compl_to_subordinate π hπU r))
(integral I l f vol) ≤ ε₂,
from h.dist_integral_sum_integral_le_of_mem_base_set hpos₂
(h₂.union_compl_to_subordinate (λ _ _, min_le_right _ _) hπU hπc₂)
(is_partition_union_compl_to_subordinate _ _ _ _),
simpa [union_compl_to_subordinate] using (dist_triangle_right _ _ _).trans (add_le_add H₁ H₂)
end
/-- If `f` is integrable on `I` along `l`, then for two sufficiently fine tagged prepartitions
(in the sense of the filter `box_integral.integration_params.to_filter l I`) such that they cover
the same part of `I`, the integral sums of `f` over `π₁` and `π₂` are very close to each other. -/
lemma tendsto_integral_sum_to_filter_prod_self_inf_Union_eq_uniformity (h : integrable I l f vol) :
tendsto
(λ π : tagged_prepartition I × tagged_prepartition I,
(integral_sum f vol π.1, integral_sum f vol π.2))
((l.to_filter I ×ᶠ l.to_filter I) ⊓ 𝓟 {π | π.1.Union = π.2.Union}) (𝓤 F) :=
begin
refine (((l.has_basis_to_filter I).prod_self.inf_principal _).tendsto_iff
uniformity_basis_dist_le).2 (λ ε ε0, _),
replace ε0 := half_pos ε0,
use [h.convergence_r (ε / 2), h.convergence_r_cond (ε / 2)], rintro ⟨π₁, π₂⟩ ⟨⟨h₁, h₂⟩, hU⟩,
rw ← add_halves ε,
exact h.dist_integral_sum_le_of_mem_base_set ε0 ε0 h₁.some_spec h₂.some_spec hU
end
/-- If `f` is integrable on a box `I` along `l`, then for any fixed subset `s` of `I` that can be
represented as a finite union of boxes, the integral sums of `f` over tagged prepartitions that
cover exactly `s` form a Cauchy “sequence” along `l`. -/
lemma cauchy_map_integral_sum_to_filter_Union (h : integrable I l f vol) (π₀ : prepartition I) :
cauchy ((l.to_filter_Union I π₀).map (integral_sum f vol)) :=
begin
refine ⟨infer_instance, _⟩,
rw [prod_map_map_eq, ← to_filter_inf_Union_eq, ← prod_inf_prod, prod_principal_principal],
exact h.tendsto_integral_sum_to_filter_prod_self_inf_Union_eq_uniformity.mono_left
(inf_le_inf_left _ $ principal_mono.2 $ λ π h, h.1.trans h.2.symm)
end
variable [complete_space F]
lemma to_subbox_aux (h : integrable I l f vol) (hJ : J ≤ I) :
∃ y : F, has_integral J l f vol y ∧
tendsto (integral_sum f vol) (l.to_filter_Union I (prepartition.single I J hJ)) (𝓝 y) :=
begin
refine (cauchy_map_iff_exists_tendsto.1
(h.cauchy_map_integral_sum_to_filter_Union (prepartition.single I J hJ))).imp (λ y hy, ⟨_, hy⟩),
convert hy.comp (l.tendsto_embed_box_to_filter_Union_top hJ) -- faster than `exact` here
end
/-- If `f` is integrable on a box `I`, then it is integrable on any subbox of `I`. -/
lemma to_subbox (h : integrable I l f vol) (hJ : J ≤ I) : integrable J l f vol :=
(h.to_subbox_aux hJ).imp $ λ y, and.left
/-- If `f` is integrable on a box `I`, then integral sums of `f` over tagged prepartitions
that cover exactly a subbox `J ≤ I` tend to the integral of `f` over `J` along `l`. -/
lemma tendsto_integral_sum_to_filter_Union_single (h : integrable I l f vol) (hJ : J ≤ I) :
tendsto (integral_sum f vol) (l.to_filter_Union I (prepartition.single I J hJ))
(𝓝 $ integral J l f vol) :=
let ⟨y, h₁, h₂⟩ := h.to_subbox_aux hJ in h₁.integral_eq.symm ▸ h₂
/-- **Henstock-Sacks inequality**. Let `r : ℝⁿ → (0, ∞)` be a function such that for any tagged
*partition* of `I` subordinate to `r`, the integral sum of `f` over this partition differs from the
integral of `f` by at most `ε`. Then for any tagged *prepartition* `π` subordinate to `r`, the
integral sum of `f` over this prepartition differs from the integral of `f` over the part of `I`
covered by `π` by at most `ε`.
The actual statement
- uses `box_integral.integrable.convergence_r` instead of a predicate assumption on `r`;
- uses `box_integral.integration_params.mem_base_set` instead of “subordinate to `r`” to
account for additional requirements like being a Henstock partition or having a bounded
distortion;
- takes an extra argument `π₀ : prepartition I` and an assumption `π.Union = π₀.Union` instead of
using `π.to_prepartition`.
-/
lemma dist_integral_sum_sum_integral_le_of_mem_base_set_of_Union_eq (h : integrable I l f vol)
(h0 : 0 < ε) (hπ : l.mem_base_set I c (h.convergence_r ε c) π) {π₀ : prepartition I}
(hU : π.Union = π₀.Union) :
dist (integral_sum f vol π) (∑ J in π₀.boxes, integral J l f vol) ≤ ε :=
begin
/- Let us prove that the distance is less than or equal to `ε + δ` for all positive `δ`. -/
refine le_of_forall_pos_le_add (λ δ δ0, _),
/- First we choose some constants. -/
set δ' : ℝ := δ / (π₀.boxes.card + 1),
have H0 : 0 < (π₀.boxes.card + 1 : ℝ) := nat.cast_add_one_pos _,
have δ'0 : 0 < δ' := div_pos δ0 H0,
set C := max π₀.distortion π₀.compl.distortion,
/- Next we choose a tagged partition of each `J ∈ π₀` such that the integral sum of `f` over this
partition is `δ'`-close to the integral of `f` over `J`. -/
have : ∀ J ∈ π₀, ∃ πi : tagged_prepartition J, πi.is_partition ∧
dist (integral_sum f vol πi) (integral J l f vol) ≤ δ' ∧
l.mem_base_set J C (h.convergence_r δ' C) πi,
{ intros J hJ,
have Hle : J ≤ I := π₀.le_of_mem hJ,
have HJi : integrable J l f vol := h.to_subbox Hle,
set r := λ x, min (h.convergence_r δ' C x) (HJi.convergence_r δ' C x),
have hr : l.r_cond r, from (h.convergence_r_cond _ C).min (HJi.convergence_r_cond _ C),
have hJd : J.distortion ≤ C, from le_trans (finset.le_sup hJ) (le_max_left _ _),
rcases l.exists_mem_base_set_is_partition J hJd r with ⟨πJ, hC, hp⟩,
have hC₁ : l.mem_base_set J C (HJi.convergence_r δ' C) πJ,
{ refine hC.mono J le_rfl le_rfl (λ x hx, _), exact min_le_right _ _ },
have hC₂ : l.mem_base_set J C (h.convergence_r δ' C) πJ,
{ refine hC.mono J le_rfl le_rfl (λ x hx, _), exact min_le_left _ _ },
exact ⟨πJ, hp, HJi.dist_integral_sum_integral_le_of_mem_base_set δ'0 hC₁ hp, hC₂⟩ },
/- Now we combine these tagged partitions into a tagged prepartition of `I` that covers the
same part of `I` as `π₀` and apply `box_integral.dist_integral_sum_le_of_mem_base_set` to
`π` and this prepartition. -/
choose! πi hπip hπiδ' hπiC,
have : l.mem_base_set I C (h.convergence_r δ' C) (π₀.bUnion_tagged πi),
from bUnion_tagged_mem_base_set hπiC hπip (λ _, le_max_right _ _),
have hU' : π.Union = (π₀.bUnion_tagged πi).Union,
from hU.trans (prepartition.Union_bUnion_partition _ hπip).symm,
have := h.dist_integral_sum_le_of_mem_base_set h0 δ'0 hπ this hU',
rw integral_sum_bUnion_tagged at this,
calc dist (integral_sum f vol π) (∑ J in π₀.boxes, integral J l f vol)
≤ dist (integral_sum f vol π) (∑ J in π₀.boxes, integral_sum f vol (πi J)) +
dist (∑ J in π₀.boxes, integral_sum f vol (πi J)) (∑ J in π₀.boxes, integral J l f vol) :
dist_triangle _ _ _
... ≤ (ε + δ') + ∑ J in π₀.boxes, δ' : add_le_add this (dist_sum_sum_le_of_le _ hπiδ')
... = ε + δ : by { field_simp [H0.ne'], ring }
end
/-- **Henstock-Sacks inequality**. Let `r : ℝⁿ → (0, ∞)` be a function such that for any tagged
*partition* of `I` subordinate to `r`, the integral sum of `f` over this partition differs from the
integral of `f` by at most `ε`. Then for any tagged *prepartition* `π` subordinate to `r`, the
integral sum of `f` over this prepartition differs from the integral of `f` over the part of `I`
covered by `π` by at most `ε`.
The actual statement
- uses `box_integral.integrable.convergence_r` instead of a predicate assumption on `r`;
- uses `box_integral.integration_params.mem_base_set` instead of “subordinate to `r`” to
account for additional requirements like being a Henstock partition or having a bounded
distortion;
-/
lemma dist_integral_sum_sum_integral_le_of_mem_base_set (h : integrable I l f vol)
(h0 : 0 < ε) (hπ : l.mem_base_set I c (h.convergence_r ε c) π) :
dist (integral_sum f vol π) (∑ J in π.boxes, integral J l f vol) ≤ ε :=
h.dist_integral_sum_sum_integral_le_of_mem_base_set_of_Union_eq h0 hπ rfl
/-- Integral sum of `f` over a tagged prepartition `π` such that `π.Union = π₀.Union` tends to the
sum of integrals of `f` over the boxes of `π₀`. -/
lemma tendsto_integral_sum_sum_integral (h : integrable I l f vol) (π₀ : prepartition I) :
tendsto (integral_sum f vol) (l.to_filter_Union I π₀) (𝓝 $ ∑ J in π₀.boxes, integral J l f vol) :=
begin
refine ((l.has_basis_to_filter_Union I π₀).tendsto_iff nhds_basis_closed_ball).2 (λ ε ε0, _),
refine ⟨h.convergence_r ε, h.convergence_r_cond ε, _⟩,
simp only [mem_inter_eq, set.mem_Union, mem_set_of_eq],
rintro π ⟨c, hc, hU⟩,
exact h.dist_integral_sum_sum_integral_le_of_mem_base_set_of_Union_eq ε0 hc hU
end
/-- If `f` is integrable on `I`, then `λ J, integral J l f vol` is box-additive on subboxes of `I`:
if `π₁`, `π₂` are two prepartitions of `I` covering the same part of `I`, then the sum of integrals
of `f` over the boxes of `π₁` is equal to the sum of integrals of `f` over the boxes of `π₂`.
See also `box_integral.integrable.to_box_additive` for a bundled version. -/
lemma sum_integral_congr (h : integrable I l f vol) {π₁ π₂ : prepartition I}
(hU : π₁.Union = π₂.Union) :
∑ J in π₁.boxes, integral J l f vol = ∑ J in π₂.boxes, integral J l f vol :=
begin
refine tendsto_nhds_unique (h.tendsto_integral_sum_sum_integral π₁) _,
rw l.to_filter_Union_congr _ hU,
exact h.tendsto_integral_sum_sum_integral π₂
end
/-- If `f` is integrable on `I`, then `λ J, integral J l f vol` is box-additive on subboxes of `I`:
if `π₁`, `π₂` are two prepartitions of `I` covering the same part of `I`, then the sum of integrals
of `f` over the boxes of `π₁` is equal to the sum of integrals of `f` over the boxes of `π₂`.
See also `box_integral.integrable.sum_integral_congr` for an unbundled version. -/
@[simps] def to_box_additive (h : integrable I l f vol) : ι →ᵇᵃ[I] F :=
{ to_fun := λ J, integral J l f vol,
sum_partition_boxes' := λ J hJ π hπ,
begin
replace hπ := hπ.Union_eq, rw ← prepartition.Union_top at hπ,
rw [(h.to_subbox (with_top.coe_le_coe.1 hJ)).sum_integral_congr hπ,
prepartition.top_boxes, sum_singleton]
end }
end integrable
open measure_theory
/-!
### Integrability conditions
-/
variable (l)
/-- A continuous function is box-integrable with respect to any locally finite measure.
This is true for any volume with bounded variation. -/
lemma integrable_of_continuous_on [complete_space E] {I : box ι} {f : ℝⁿ → E}
(hc : continuous_on f I.Icc) (μ : measure ℝⁿ) [is_locally_finite_measure μ] :
integrable.{u v v} I l f μ.to_box_additive.to_smul :=
begin
have huc := (is_compact_pi_Icc I.lower I.upper).uniform_continuous_on_of_continuous hc,
rw metric.uniform_continuous_on_iff_le at huc,
refine integrable_iff_cauchy_basis.2 (λ ε ε0, _),
rcases exists_pos_mul_lt ε0 (μ.to_box_additive I) with ⟨ε', ε0', hε⟩,
rcases huc ε' ε0' with ⟨δ, δ0 : 0 < δ, Hδ⟩,
refine ⟨λ _ _, ⟨δ / 2, half_pos δ0⟩, λ _ _ _, rfl, λ c₁ c₂ π₁ π₂ h₁ h₁p h₂ h₂p, _⟩,
simp only [dist_eq_norm, integral_sum_sub_partitions _ _ h₁p h₂p,
box_additive_map.to_smul_apply, ← smul_sub],
have : ∀ J ∈ π₁.to_prepartition ⊓ π₂.to_prepartition,
∥μ.to_box_additive J • (f ((π₁.inf_prepartition π₂.to_prepartition).tag J) -
f ((π₂.inf_prepartition π₁.to_prepartition).tag J))∥ ≤ μ.to_box_additive J * ε',
{ intros J hJ,
have : 0 ≤ μ.to_box_additive J, from ennreal.to_real_nonneg,
rw [norm_smul, real.norm_eq_abs, abs_of_nonneg this, ← dist_eq_norm],
refine mul_le_mul_of_nonneg_left _ this,
refine Hδ _ _ (tagged_prepartition.tag_mem_Icc _ _) (tagged_prepartition.tag_mem_Icc _ _) _,
rw [← add_halves δ],
refine (dist_triangle_left _ _ J.upper).trans (add_le_add (h₁.1 _ _ _) (h₂.1 _ _ _)),
{ exact prepartition.bUnion_index_mem _ hJ },
{ exact box.le_iff_Icc.1 (prepartition.le_bUnion_index _ hJ) J.upper_mem_Icc },
{ rw inf_comm at hJ, exact prepartition.bUnion_index_mem _ hJ, },
{ rw inf_comm at hJ,
exact box.le_iff_Icc.1 (prepartition.le_bUnion_index _ hJ) J.upper_mem_Icc } },
refine (norm_sum_le_of_le _ this).trans _,
rw [← finset.sum_mul, μ.to_box_additive.sum_partition_boxes le_top (h₁p.inf h₂p)],
exact hε.le
end
variable {l}
/-- This is an auxiliary lemma used to prove two statements at once. Use one of the next two
lemmas instead. -/
lemma has_integral_of_bRiemann_eq_ff_of_forall_is_o (hl : l.bRiemann = ff)
(B : ι →ᵇᵃ[I] ℝ) (hB0 : ∀ J, 0 ≤ B J) (g : ι →ᵇᵃ[I] F) (s : set ℝⁿ) (hs : s.countable)
(hlH : s.nonempty → l.bHenstock = tt)
(H₁ : ∀ (c : ℝ≥0) (x ∈ I.Icc ∩ s) (ε > (0 : ℝ)), ∃ δ > 0, ∀ J ≤ I,
J.Icc ⊆ metric.closed_ball x δ → x ∈ J.Icc →
(l.bDistortion → J.distortion ≤ c) → dist (vol J (f x)) (g J) ≤ ε)
(H₂ : ∀ (c : ℝ≥0) (x ∈ I.Icc \ s) (ε > (0 : ℝ)), ∃ δ > 0, ∀ J ≤ I,
J.Icc ⊆ metric.closed_ball x δ → (l.bHenstock → x ∈ J.Icc) →
(l.bDistortion → J.distortion ≤ c) → dist (vol J (f x)) (g J) ≤ ε * B J) :
has_integral I l f vol (g I) :=
begin
/- We choose `r x` differently for `x ∈ s` and `x ∉ s`.
For `x ∈ s`, we choose `εs` such that `∑' x : s, εs x < ε / 2 / 2 ^ #ι`, then choose `r x` so that
`dist (vol J (f x)) (g J) ≤ εs x` for `J` in the `r x`-neighborhood of `x`. This guarantees that
the sum of these distances over boxes `J` such that `π.tag J ∈ s` is less than `ε / 2`. We need an
additional multiplier `2 ^ #ι` because different boxes can have the same tag.
For `x ∉ s`, we choose `r x` so that `dist (vol (J (f x))) (g J) ≤ (ε / 2 / B I) * B J` for a box
`J` in the `δ`-neighborhood of `x`. -/
refine ((l.has_basis_to_filter_Union_top _).tendsto_iff metric.nhds_basis_closed_ball).2 _,
intros ε ε0,
simp only [subtype.exists'] at H₁ H₂,
choose! δ₁ Hδ₁ using H₁,
choose! δ₂ Hδ₂ using H₂,
have ε0' := half_pos ε0, have H0 : 0 < (2 ^ fintype.card ι : ℝ), from pow_pos zero_lt_two _,
rcases hs.exists_pos_forall_sum_le (div_pos ε0' H0) with ⟨εs, hεs0, hεs⟩,
simp only [le_div_iff' H0, mul_sum] at hεs,
rcases exists_pos_mul_lt ε0' (B I) with ⟨ε', ε'0, hεI⟩,
set δ : ℝ≥0 → ℝⁿ → Ioi (0 : ℝ) := λ c x, if x ∈ s then δ₁ c x (εs x) else (δ₂ c) x ε',
refine ⟨δ, λ c, l.r_cond_of_bRiemann_eq_ff hl, _⟩,
simp only [set.mem_Union, mem_inter_eq, mem_set_of_eq],
rintro π ⟨c, hπδ, hπp⟩,
/- Now we split the sum into two parts based on whether `π.tag J` belongs to `s` or not. -/
rw [← g.sum_partition_boxes le_rfl hπp, mem_closed_ball, integral_sum,
← sum_filter_add_sum_filter_not π.boxes (λ J, π.tag J ∈ s),
← sum_filter_add_sum_filter_not π.boxes (λ J, π.tag J ∈ s), ← add_halves ε],
refine dist_add_add_le_of_le _ _,
{ unfreezingI { rcases s.eq_empty_or_nonempty with rfl|hsne }, { simp [ε0'.le] },
/- For the boxes such that `π.tag J ∈ s`, we use the fact that at most `2 ^ #ι` boxes have the
same tag. -/
specialize hlH hsne,
have : ∀ J ∈ π.boxes.filter (λ J, π.tag J ∈ s), dist (vol J (f $ π.tag J)) (g J) ≤ εs (π.tag J),
{ intros J hJ, rw finset.mem_filter at hJ, cases hJ with hJ hJs,
refine Hδ₁ c _ ⟨π.tag_mem_Icc _, hJs⟩ _ (hεs0 _) _ (π.le_of_mem' _ hJ) _
(hπδ.2 hlH J hJ) (λ hD, (finset.le_sup hJ).trans (hπδ.3 hD)),
convert hπδ.1 J hJ, exact (dif_pos hJs).symm },
refine (dist_sum_sum_le_of_le _ this).trans _,
rw sum_comp,
refine (sum_le_sum _).trans (hεs _ _),
{ rintro b -,
rw [← nat.cast_two, ← nat.cast_pow, ← nsmul_eq_mul],
refine nsmul_le_nsmul (hεs0 _).le _,
refine (finset.card_le_of_subset _).trans ((hπδ.is_Henstock hlH).card_filter_tag_eq_le b),
exact filter_subset_filter _ (filter_subset _ _) },
{ rw [finset.coe_image, set.image_subset_iff],
exact λ J hJ, (finset.mem_filter.1 hJ).2 } },
/- Now we deal with boxes such that `π.tag J ∉ s`.
In this case the estimate is straightforward. -/
have H₂ : ∀ J ∈ π.boxes.filter (λ J, π.tag J ∉ s), dist (vol J (f $ π.tag J)) (g J) ≤ ε' * B J,
{ intros J hJ, rw finset.mem_filter at hJ, cases hJ with hJ hJs,
refine Hδ₂ c _ ⟨π.tag_mem_Icc _, hJs⟩ _ ε'0 _ (π.le_of_mem' _ hJ) _ (λ hH, hπδ.2 hH J hJ)
(λ hD, (finset.le_sup hJ).trans (hπδ.3 hD)),
convert hπδ.1 J hJ, exact (dif_neg hJs).symm },
refine (dist_sum_sum_le_of_le _ H₂).trans
((sum_le_sum_of_subset_of_nonneg (filter_subset _ _) _).trans _),
{ exact λ _ _ _, mul_nonneg ε'0.le (hB0 _) },
{ rw [← mul_sum, B.sum_partition_boxes le_rfl hπp, mul_comm],
exact hεI.le }
end
/-- A function `f` has Henstock (or `⊥`) integral over `I` is equal to the value of a box-additive
function `g` on `I` provided that `vol J (f x)` is sufficiently close to `g J` for sufficiently
small boxes `J ∋ x`. This lemma is useful to prove, e.g., to prove the Divergence theorem for
integral along `⊥`.
Let `l` be either `box_integral.integration_params.Henstock` or `⊥`. Let `g` a box-additive function
on subboxes of `I`. Suppose that there exists a nonnegative box-additive function `B` and a
countable set `s` with the following property.
For every `c : ℝ≥0`, a point `x ∈ I.Icc`, and a positive `ε` there exists `δ > 0` such that for any
box `J ≤ I` such that
- `x ∈ J.Icc ⊆ metric.closed_ball x δ`;
- if `l.bDistortion` (i.e., `l = ⊥`), then the distortion of `J` is less than or equal to `c`,
the distance between the term `vol J (f x)` of an integral sum corresponding to `J` and `g J` is
less than or equal to `ε` if `x ∈ s` and is less than or equal to `ε * B J` otherwise.
Then `f` is integrable on `I along `l` with integral `g I`. -/
lemma has_integral_of_le_Henstock_of_forall_is_o (hl : l ≤ Henstock) (B : ι →ᵇᵃ[I] ℝ)
(hB0 : ∀ J, 0 ≤ B J) (g : ι →ᵇᵃ[I] F) (s : set ℝⁿ) (hs : s.countable)
(H₁ : ∀ (c : ℝ≥0) (x ∈ I.Icc ∩ s) (ε > (0 : ℝ)), ∃ δ > 0, ∀ J ≤ I,
J.Icc ⊆ metric.closed_ball x δ → x ∈ J.Icc → (l.bDistortion → J.distortion ≤ c) →
dist (vol J (f x)) (g J) ≤ ε)
(H₂ : ∀ (c : ℝ≥0) (x ∈ I.Icc \ s) (ε > (0 : ℝ)), ∃ δ > 0, ∀ J ≤ I,
J.Icc ⊆ metric.closed_ball x δ → x ∈ J.Icc → (l.bDistortion → J.distortion ≤ c) →
dist (vol J (f x)) (g J) ≤ ε * B J) :
has_integral I l f vol (g I) :=
have A : l.bHenstock, from hl.2.1.resolve_left dec_trivial,
has_integral_of_bRiemann_eq_ff_of_forall_is_o (hl.1.resolve_right dec_trivial) B hB0 _ s hs (λ _, A)
H₁ $ by simpa only [A, true_implies_iff] using H₂
/-- Suppose that there exists a nonnegative box-additive function `B` with the following property.
For every `c : ℝ≥0`, a point `x ∈ I.Icc`, and a positive `ε` there exists `δ > 0` such that for any
box `J ≤ I` such that
- `J.Icc ⊆ metric.closed_ball x δ`;
- if `l.bDistortion` (i.e., `l = ⊥`), then the distortion of `J` is less than or equal to `c`,
the distance between the term `vol J (f x)` of an integral sum corresponding to `J` and `g J` is
less than or equal to `ε * B J`.
Then `f` is McShane integrable on `I` with integral `g I`. -/
lemma has_integral_McShane_of_forall_is_o (B : ι →ᵇᵃ[I] ℝ) (hB0 : ∀ J, 0 ≤ B J)
(g : ι →ᵇᵃ[I] F) (H : ∀ (c : ℝ≥0) (x ∈ I.Icc) (ε > (0 : ℝ)), ∃ δ > 0, ∀ J ≤ I,
J.Icc ⊆ metric.closed_ball x δ → dist (vol J (f x)) (g J) ≤ ε * B J) :
has_integral I McShane f vol (g I) :=
has_integral_of_bRiemann_eq_ff_of_forall_is_o rfl B hB0 g ∅ countable_empty (λ ⟨x, hx⟩, hx.elim)
(λ c x hx, hx.2.elim) $
by simpa only [McShane, coe_sort_ff, false_implies_iff, true_implies_iff, diff_empty] using H
end box_integral
|
b7566759ad1289d09d0b511ad3b75459c381fdf9 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/algebra/category/Mon/limits.lean | 65297a1d52f7cf829f45a383926b50321c00186d | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 8,478 | lean | /-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import algebra.category.Mon.basic
import algebra.group.pi
import category_theory.limits.creates
import category_theory.limits.types
import group_theory.submonoid.operations
/-!
# The category of (commutative) (additive) monoids has all limits
Further, these limits are preserved by the forgetful functor --- that is,
the underlying types are just the limits in the category of types.
-/
noncomputable theory
open category_theory
open category_theory.limits
universes v u
namespace Mon
variables {J : Type v} [small_category J]
@[to_additive]
instance monoid_obj (F : J ⥤ Mon.{max v u}) (j) :
monoid ((F ⋙ forget Mon).obj j) :=
by { change monoid (F.obj j), apply_instance }
/--
The flat sections of a functor into `Mon` form a submonoid of all sections.
-/
@[to_additive
"The flat sections of a functor into `AddMon` form an additive submonoid of all sections."]
def sections_submonoid (F : J ⥤ Mon.{max v u}) :
submonoid (Π j, F.obj j) :=
{ carrier := (F ⋙ forget Mon).sections,
one_mem' := λ j j' f, by simp,
mul_mem' := λ a b ah bh j j' f,
begin
simp only [forget_map_eq_coe, functor.comp_map, monoid_hom.map_mul, pi.mul_apply],
dsimp [functor.sections] at ah bh,
rw [ah f, bh f],
end }
@[to_additive]
instance limit_monoid (F : J ⥤ Mon.{max v u}) :
monoid (types.limit_cone (F ⋙ forget Mon.{max v u})).X :=
(sections_submonoid F).to_monoid
/-- `limit.π (F ⋙ forget Mon) j` as a `monoid_hom`. -/
@[to_additive "`limit.π (F ⋙ forget AddMon) j` as an `add_monoid_hom`."]
def limit_π_monoid_hom (F : J ⥤ Mon.{max v u}) (j) :
(types.limit_cone (F ⋙ forget Mon)).X →* (F ⋙ forget Mon).obj j :=
{ to_fun := (types.limit_cone (F ⋙ forget Mon)).π.app j,
map_one' := rfl,
map_mul' := λ x y, rfl }
namespace has_limits
-- The next two definitions are used in the construction of `has_limits Mon`.
-- After that, the limits should be constructed using the generic limits API,
-- e.g. `limit F`, `limit.cone F`, and `limit.is_limit F`.
/--
Construction of a limit cone in `Mon`.
(Internal use only; use the limits API.)
-/
@[to_additive "(Internal use only; use the limits API.)"]
def limit_cone (F : J ⥤ Mon.{max v u}) : cone F :=
{ X := Mon.of (types.limit_cone (F ⋙ forget _)).X,
π :=
{ app := limit_π_monoid_hom F,
naturality' := λ j j' f,
monoid_hom.coe_inj ((types.limit_cone (F ⋙ forget _)).π.naturality f) } }
/--
Witness that the limit cone in `Mon` is a limit cone.
(Internal use only; use the limits API.)
-/
@[to_additive "(Internal use only; use the limits API.)"]
def limit_cone_is_limit (F : J ⥤ Mon.{max v u}) : is_limit (limit_cone F) :=
begin
refine is_limit.of_faithful
(forget Mon) (types.limit_cone_is_limit _)
(λ s, ⟨_, _, _⟩) (λ s, rfl); tidy,
end
end has_limits
open has_limits
/-- The category of monoids has all limits. -/
@[to_additive "The category of additive monoids has all limits."]
instance has_limits_of_size : has_limits_of_size.{v} Mon.{max v u} :=
{ has_limits_of_shape := λ J 𝒥, by exactI
{ has_limit := λ F, has_limit.mk
{ cone := limit_cone F,
is_limit := limit_cone_is_limit F } } }
@[to_additive]
instance has_limits : has_limits Mon.{u} := Mon.has_limits_of_size.{u u}
/-- The forgetful functor from monoids to types preserves all limits.
This means the underlying type of a limit can be computed as a limit in the category of types. -/
@[to_additive "The forgetful functor from additive monoids to types preserves all limits.
This means the underlying type of a limit can be computed as a limit in the category of types."]
instance forget_preserves_limits_of_size : preserves_limits_of_size.{v} (forget Mon.{max v u}) :=
{ preserves_limits_of_shape := λ J 𝒥, by exactI
{ preserves_limit := λ F, preserves_limit_of_preserves_limit_cone
(limit_cone_is_limit F) (types.limit_cone_is_limit (F ⋙ forget _)) } }
@[to_additive]
instance forget_preserves_limits : preserves_limits (forget Mon.{u}) :=
Mon.forget_preserves_limits_of_size.{u u}
end Mon
namespace CommMon
variables {J : Type v} [small_category J]
@[to_additive]
instance comm_monoid_obj (F : J ⥤ CommMon.{max v u}) (j) :
comm_monoid ((F ⋙ forget CommMon).obj j) :=
by { change comm_monoid (F.obj j), apply_instance }
@[to_additive]
instance limit_comm_monoid (F : J ⥤ CommMon.{max v u}) :
comm_monoid (types.limit_cone (F ⋙ forget CommMon.{max v u})).X :=
@submonoid.to_comm_monoid (Π j, F.obj j) _
(Mon.sections_submonoid (F ⋙ forget₂ CommMon Mon.{max v u}))
/-- We show that the forgetful functor `CommMon ⥤ Mon` creates limits.
All we need to do is notice that the limit point has a `comm_monoid` instance available,
and then reuse the existing limit. -/
@[to_additive "We show that the forgetful functor `AddCommMon ⥤ AddMon` creates limits.
All we need to do is notice that the limit point has an `add_comm_monoid` instance available,
and then reuse the existing limit."]
instance (F : J ⥤ CommMon.{max v u}) : creates_limit F (forget₂ CommMon Mon.{max v u}) :=
creates_limit_of_reflects_iso (λ c' t,
{ lifted_cone :=
{ X := CommMon.of (types.limit_cone (F ⋙ forget CommMon)).X,
π :=
{ app := Mon.limit_π_monoid_hom (F ⋙ forget₂ CommMon Mon.{max v u}),
naturality' :=
(Mon.has_limits.limit_cone (F ⋙ forget₂ CommMon Mon.{max v u})).π.naturality, } },
valid_lift := by apply is_limit.unique_up_to_iso (Mon.has_limits.limit_cone_is_limit _) t,
makes_limit := is_limit.of_faithful (forget₂ CommMon Mon.{max v u})
(Mon.has_limits.limit_cone_is_limit _) (λ s, _) (λ s, rfl) })
/--
A choice of limit cone for a functor into `CommMon`.
(Generally, you'll just want to use `limit F`.)
-/
@[to_additive "A choice of limit cone for a functor into `CommMon`. (Generally, you'll just want
to use `limit F`.)"]
def limit_cone (F : J ⥤ CommMon.{max v u}) : cone F :=
lift_limit (limit.is_limit (F ⋙ (forget₂ CommMon Mon.{max v u})))
/--
The chosen cone is a limit cone.
(Generally, you'll just want to use `limit.cone F`.)
-/
@[to_additive "The chosen cone is a limit cone. (Generally, you'll just want to use
`limit.cone F`.)"]
def limit_cone_is_limit (F : J ⥤ CommMon.{max v u}) : is_limit (limit_cone F) :=
lifted_limit_is_limit _
/-- The category of commutative monoids has all limits. -/
@[to_additive "The category of commutative monoids has all limits."]
instance has_limits_of_size : has_limits_of_size.{v v} CommMon.{max v u} :=
{ has_limits_of_shape := λ J 𝒥, by exactI
{ has_limit := λ F, has_limit_of_created F (forget₂ CommMon Mon.{max v u}) } }
@[to_additive]
instance has_limits : has_limits CommMon.{u} := CommMon.has_limits_of_size.{u u}
/-- The forgetful functor from commutative monoids to monoids preserves all limits.
This means the underlying type of a limit can be computed as a limit in the category of monoids. -/
@[to_additive AddCommMon.forget₂_AddMon_preserves_limits "The forgetful functor from additive
commutative monoids to additive monoids preserves all limits.
This means the underlying type of a limit can be computed as a limit in the category of additive
monoids."]
instance forget₂_Mon_preserves_limits_of_size :
preserves_limits_of_size.{v v} (forget₂ CommMon Mon.{max v u}) :=
{ preserves_limits_of_shape := λ J 𝒥,
{ preserves_limit := λ F, by apply_instance } }
@[to_additive]
instance forget₂_Mon_preserves_limits : preserves_limits (forget₂ CommMon Mon.{u}) :=
CommMon.forget₂_Mon_preserves_limits_of_size.{u u}
/-- The forgetful functor from commutative monoids to types preserves all limits.
This means the underlying type of a limit can be computed as a limit in the category of types. -/
@[to_additive "The forgetful functor from additive commutative monoids to types preserves all
limits.
This means the underlying type of a limit can be computed as a limit in the category of types."]
instance forget_preserves_limits_of_size :
preserves_limits_of_size.{v v} (forget CommMon.{max v u}) :=
{ preserves_limits_of_shape := λ J 𝒥, by exactI
{ preserves_limit := λ F, limits.comp_preserves_limit (forget₂ CommMon Mon) (forget Mon) } }
@[to_additive]
instance forget_preserves_limits : preserves_limits (forget CommMon.{u}) :=
CommMon.forget_preserves_limits_of_size.{u u}
end CommMon
|
85f9a030fa0dc69e16e214778b7da7db4bfca215 | 4efff1f47634ff19e2f786deadd394270a59ecd2 | /src/data/list/sigma.lean | 4488388d87fbe4e82d607047302e0384ea4f301f | [
"Apache-2.0"
] | permissive | agjftucker/mathlib | d634cd0d5256b6325e3c55bb7fb2403548371707 | 87fe50de17b00af533f72a102d0adefe4a2285e8 | refs/heads/master | 1,625,378,131,941 | 1,599,166,526,000 | 1,599,166,526,000 | 160,748,509 | 0 | 0 | Apache-2.0 | 1,544,141,789,000 | 1,544,141,789,000 | null | UTF-8 | Lean | false | false | 24,012 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Sean Leather
Functions on lists of sigma types.
-/
import data.list.perm
import data.list.range
import data.sigma
universes u v
namespace list
variables {α : Type u} {β : α → Type v}
/- keys -/
/-- List of keys from a list of key-value pairs -/
def keys : list (sigma β) → list α :=
map sigma.fst
@[simp] theorem keys_nil : @keys α β [] = [] :=
rfl
@[simp] theorem keys_cons {s} {l : list (sigma β)} : (s :: l).keys = s.1 :: l.keys :=
rfl
theorem mem_keys_of_mem {s : sigma β} {l : list (sigma β)} : s ∈ l → s.1 ∈ l.keys :=
mem_map_of_mem sigma.fst
theorem exists_of_mem_keys {a} {l : list (sigma β)} (h : a ∈ l.keys) :
∃ (b : β a), sigma.mk a b ∈ l :=
let ⟨⟨a', b'⟩, m, e⟩ := exists_of_mem_map h in
eq.rec_on e (exists.intro b' m)
theorem mem_keys {a} {l : list (sigma β)} : a ∈ l.keys ↔ ∃ (b : β a), sigma.mk a b ∈ l :=
⟨exists_of_mem_keys, λ ⟨b, h⟩, mem_keys_of_mem h⟩
theorem not_mem_keys {a} {l : list (sigma β)} : a ∉ l.keys ↔ ∀ b : β a, sigma.mk a b ∉ l :=
(not_iff_not_of_iff mem_keys).trans not_exists
theorem not_eq_key {a} {l : list (sigma β)} : a ∉ l.keys ↔ ∀ s : sigma β, s ∈ l → a ≠ s.1 :=
iff.intro
(λ h₁ s h₂ e, absurd (mem_keys_of_mem h₂) (by rwa e at h₁))
(λ f h₁, let ⟨b, h₂⟩ := exists_of_mem_keys h₁ in f _ h₂ rfl)
/- nodupkeys -/
def nodupkeys (l : list (sigma β)) : Prop :=
l.keys.nodup
theorem nodupkeys_iff_pairwise {l} : nodupkeys l ↔
pairwise (λ s s' : sigma β, s.1 ≠ s'.1) l := pairwise_map _
theorem nodupkeys.pairwise_ne {l} (h : nodupkeys l) :
pairwise (λ s s' : sigma β, s.1 ≠ s'.1) l :=
nodupkeys_iff_pairwise.1 h
@[simp] theorem nodupkeys_nil : @nodupkeys α β [] := pairwise.nil
@[simp] theorem nodupkeys_cons {s : sigma β} {l : list (sigma β)} :
nodupkeys (s::l) ↔ s.1 ∉ l.keys ∧ nodupkeys l :=
by simp [keys, nodupkeys]
theorem nodupkeys.eq_of_fst_eq {l : list (sigma β)}
(nd : nodupkeys l) {s s' : sigma β} (h : s ∈ l) (h' : s' ∈ l) :
s.1 = s'.1 → s = s' :=
@forall_of_forall_of_pairwise _
(λ s s' : sigma β, s.1 = s'.1 → s = s')
(λ s s' H h, (H h.symm).symm) _ (λ x h _, rfl)
((nodupkeys_iff_pairwise.1 nd).imp (λ s s' h h', (h h').elim)) _ h _ h'
theorem nodupkeys.eq_of_mk_mem {a : α} {b b' : β a} {l : list (sigma β)}
(nd : nodupkeys l) (h : sigma.mk a b ∈ l) (h' : sigma.mk a b' ∈ l) : b = b' :=
by cases nd.eq_of_fst_eq h h' rfl; refl
theorem nodupkeys_singleton (s : sigma β) : nodupkeys [s] := nodup_singleton _
theorem nodupkeys_of_sublist {l₁ l₂ : list (sigma β)} (h : l₁ <+ l₂) :
nodupkeys l₂ → nodupkeys l₁ :=
nodup_of_sublist (h.map _)
theorem nodup_of_nodupkeys {l : list (sigma β)} : nodupkeys l → nodup l :=
nodup_of_nodup_map _
theorem perm_nodupkeys {l₁ l₂ : list (sigma β)} (h : l₁ ~ l₂) : nodupkeys l₁ ↔ nodupkeys l₂ :=
(h.map _).nodup_iff
theorem nodupkeys_join {L : list (list (sigma β))} :
nodupkeys (join L) ↔ (∀ l ∈ L, nodupkeys l) ∧ pairwise disjoint (L.map keys) :=
begin
rw [nodupkeys_iff_pairwise, pairwise_join, pairwise_map],
refine and_congr (ball_congr $ λ l h, by simp [nodupkeys_iff_pairwise]) _,
apply iff_of_eq, congr' with l₁ l₂,
simp [keys, disjoint_iff_ne]
end
theorem nodup_enum_map_fst (l : list α) : (l.enum.map prod.fst).nodup :=
by simp [list.nodup_range]
lemma mem_ext {l₀ l₁ : list (sigma β)}
(nd₀ : l₀.nodup) (nd₁ : l₁.nodup)
(h : ∀ x, x ∈ l₀ ↔ x ∈ l₁) : l₀ ~ l₁ :=
begin
induction l₀ with x xs generalizing l₁; cases l₁ with y ys,
{ constructor },
iterate 2
{ specialize h x <|> specialize h y, simp at h,
cases h },
simp at nd₀ nd₁, classical,
cases nd₀, cases nd₁,
by_cases h' : x = y,
{ subst y, constructor, apply l₀_ih ‹ _ › ‹ nodup ys ›,
intro a, specialize h a, simp at h,
by_cases h' : a = x,
{ subst a, rw ← not_iff_not, split; intro; assumption },
{ simp [h'] at h, exact h } },
{ transitivity x :: y :: ys.erase x,
{ constructor, apply l₀_ih ‹ _ ›,
{ simp, split, { intro, apply nd₁_left, apply mem_of_mem_erase a },
apply nodup_erase_of_nodup; assumption },
{ intro a, specialize h a, simp at h,
by_cases h' : a = x,
{ subst a, rw ← not_iff_not, split; intro, simp [mem_erase_of_nodup,*], assumption },
{ simp [h'] at h, simp [h], apply or_congr, refl,
simp [mem_erase_of_ne,*] } } },
transitivity y :: x :: ys.erase x,
{ constructor },
{ constructor, symmetry, apply perm_cons_erase,
specialize h x, simp [h'] at h, exact h } }
end
variables [decidable_eq α]
/- lookup -/
/-- `lookup a l` is the first value in `l` corresponding to the key `a`,
or `none` if no such element exists. -/
def lookup (a : α) : list (sigma β) → option (β a)
| [] := none
| (⟨a', b⟩ :: l) := if h : a' = a then some (eq.rec_on h b) else lookup l
@[simp] theorem lookup_nil (a : α) : lookup a [] = @none (β a) := rfl
@[simp] theorem lookup_cons_eq (l) (a : α) (b : β a) : lookup a (⟨a, b⟩::l) = some b :=
dif_pos rfl
@[simp] theorem lookup_cons_ne (l) {a} :
∀ s : sigma β, a ≠ s.1 → lookup a (s::l) = lookup a l
| ⟨a', b⟩ h := dif_neg h.symm
theorem lookup_is_some {a : α} : ∀ {l : list (sigma β)},
(lookup a l).is_some ↔ a ∈ l.keys
| [] := by simp
| (⟨a', b⟩ :: l) := begin
by_cases h : a = a',
{ subst a', simp },
{ simp [h, lookup_is_some] },
end
theorem lookup_eq_none {a : α} {l : list (sigma β)} :
lookup a l = none ↔ a ∉ l.keys :=
by simp [← lookup_is_some, option.is_none_iff_eq_none]
theorem of_mem_lookup
{a : α} {b : β a} : ∀ {l : list (sigma β)}, b ∈ lookup a l → sigma.mk a b ∈ l
| (⟨a', b'⟩ :: l) H := begin
by_cases h : a = a',
{ subst a', simp at H, simp [H] },
{ simp [h] at H, exact or.inr (of_mem_lookup H) }
end
theorem mem_lookup {a} {b : β a} {l : list (sigma β)} (nd : l.nodupkeys)
(h : sigma.mk a b ∈ l) : b ∈ lookup a l :=
begin
cases option.is_some_iff_exists.mp (lookup_is_some.mpr (mem_keys_of_mem h)) with b' h',
cases nd.eq_of_mk_mem h (of_mem_lookup h'),
exact h'
end
theorem map_lookup_eq_find (a : α) : ∀ l : list (sigma β),
(lookup a l).map (sigma.mk a) = find (λ s, a = s.1) l
| [] := rfl
| (⟨a', b'⟩ :: l) := begin
by_cases h : a = a',
{ subst a', simp },
{ simp [h, map_lookup_eq_find] }
end
theorem mem_lookup_iff {a : α} {b : β a} {l : list (sigma β)} (nd : l.nodupkeys) :
b ∈ lookup a l ↔ sigma.mk a b ∈ l :=
⟨of_mem_lookup, mem_lookup nd⟩
theorem perm_lookup (a : α) {l₁ l₂ : list (sigma β)}
(nd₁ : l₁.nodupkeys) (nd₂ : l₂.nodupkeys) (p : l₁ ~ l₂) : lookup a l₁ = lookup a l₂ :=
by ext b; simp [mem_lookup_iff, nd₁, nd₂]; exact p.mem_iff
lemma lookup_ext {l₀ l₁ : list (sigma β)}
(nd₀ : l₀.nodupkeys) (nd₁ : l₁.nodupkeys)
(h : ∀ x y, y ∈ l₀.lookup x ↔ y ∈ l₁.lookup x) : l₀ ~ l₁ :=
mem_ext (nodup_of_nodupkeys nd₀) (nodup_of_nodupkeys nd₁)
(λ ⟨a,b⟩, by rw [← mem_lookup_iff, ← mem_lookup_iff, h]; assumption)
/- lookup_all -/
/-- `lookup_all a l` is the list of all values in `l` corresponding to the key `a`. -/
def lookup_all (a : α) : list (sigma β) → list (β a)
| [] := []
| (⟨a', b⟩ :: l) := if h : a' = a then eq.rec_on h b :: lookup_all l else lookup_all l
@[simp] theorem lookup_all_nil (a : α) : lookup_all a [] = @nil (β a) := rfl
@[simp] theorem lookup_all_cons_eq (l) (a : α) (b : β a) :
lookup_all a (⟨a, b⟩::l) = b :: lookup_all a l :=
dif_pos rfl
@[simp] theorem lookup_all_cons_ne (l) {a} :
∀ s : sigma β, a ≠ s.1 → lookup_all a (s::l) = lookup_all a l
| ⟨a', b⟩ h := dif_neg h.symm
theorem lookup_all_eq_nil {a : α} : ∀ {l : list (sigma β)},
lookup_all a l = [] ↔ ∀ b : β a, sigma.mk a b ∉ l
| [] := by simp
| (⟨a', b⟩ :: l) := begin
by_cases h : a = a',
{ subst a', simp, exact ⟨_, or.inl rfl⟩ },
{ simp [h, lookup_all_eq_nil] },
end
theorem head_lookup_all (a : α) : ∀ l : list (sigma β),
head' (lookup_all a l) = lookup a l
| [] := by simp
| (⟨a', b⟩ :: l) := by by_cases h : a = a'; [{subst h, simp}, simp *]
theorem mem_lookup_all {a : α} {b : β a} :
∀ {l : list (sigma β)}, b ∈ lookup_all a l ↔ sigma.mk a b ∈ l
| [] := by simp
| (⟨a', b'⟩ :: l) := by by_cases h : a = a'; [{subst h, simp *}, simp *]
theorem lookup_all_sublist (a : α) :
∀ l : list (sigma β), (lookup_all a l).map (sigma.mk a) <+ l
| [] := by simp
| (⟨a', b'⟩ :: l) := begin
by_cases h : a = a',
{ subst h, simp, exact (lookup_all_sublist l).cons2 _ _ _ },
{ simp [h], exact (lookup_all_sublist l).cons _ _ _ }
end
theorem lookup_all_length_le_one (a : α) {l : list (sigma β)} (h : l.nodupkeys) :
length (lookup_all a l) ≤ 1 :=
by have := nodup_of_sublist ((lookup_all_sublist a l).map _) h;
rw map_map at this; rwa [← nodup_repeat, ← map_const _ a]
theorem lookup_all_eq_lookup (a : α) {l : list (sigma β)} (h : l.nodupkeys) :
lookup_all a l = (lookup a l).to_list :=
begin
rw ← head_lookup_all,
have := lookup_all_length_le_one a h, revert this,
rcases lookup_all a l with _|⟨b, _|⟨c, l⟩⟩; intro; try {refl},
exact absurd this dec_trivial
end
theorem lookup_all_nodup (a : α) {l : list (sigma β)} (h : l.nodupkeys) :
(lookup_all a l).nodup :=
by rw lookup_all_eq_lookup a h; apply option.to_list_nodup
theorem perm_lookup_all (a : α) {l₁ l₂ : list (sigma β)}
(nd₁ : l₁.nodupkeys) (nd₂ : l₂.nodupkeys) (p : l₁ ~ l₂) : lookup_all a l₁ = lookup_all a l₂ :=
by simp [lookup_all_eq_lookup, nd₁, nd₂, perm_lookup a nd₁ nd₂ p]
/- kreplace -/
def kreplace (a : α) (b : β a) : list (sigma β) → list (sigma β) :=
lookmap $ λ s, if h : a = s.1 then some ⟨a, b⟩ else none
theorem kreplace_of_forall_not (a : α) (b : β a) {l : list (sigma β)}
(H : ∀ b : β a, sigma.mk a b ∉ l) : kreplace a b l = l :=
lookmap_of_forall_not _ $ begin
rintro ⟨a', b'⟩ h, dsimp, split_ifs,
{ subst a', exact H _ h }, {refl}
end
theorem kreplace_self {a : α} {b : β a} {l : list (sigma β)}
(nd : nodupkeys l) (h : sigma.mk a b ∈ l) : kreplace a b l = l :=
begin
refine (lookmap_congr _).trans
(lookmap_id' (option.guard (λ s, a = s.1)) _ _),
{ rintro ⟨a', b'⟩ h', dsimp [option.guard], split_ifs,
{ subst a', exact ⟨rfl, heq_of_eq $ nd.eq_of_mk_mem h h'⟩ },
{ refl } },
{ rintro ⟨a₁, b₁⟩ ⟨a₂, b₂⟩, dsimp [option.guard], split_ifs,
{ subst a₁, rintro ⟨⟩, simp }, { rintro ⟨⟩ } },
end
theorem keys_kreplace (a : α) (b : β a) : ∀ l : list (sigma β),
(kreplace a b l).keys = l.keys :=
lookmap_map_eq _ _ $ by rintro ⟨a₁, b₂⟩ ⟨a₂, b₂⟩;
dsimp; split_ifs; simp [h] {contextual := tt}
theorem kreplace_nodupkeys (a : α) (b : β a) {l : list (sigma β)} :
(kreplace a b l).nodupkeys ↔ l.nodupkeys :=
by simp [nodupkeys, keys_kreplace]
theorem perm.kreplace {a : α} {b : β a} {l₁ l₂ : list (sigma β)}
(nd : l₁.nodupkeys) : l₁ ~ l₂ →
kreplace a b l₁ ~ kreplace a b l₂ :=
perm_lookmap _ $ begin
refine nd.pairwise_ne.imp _,
intros x y h z h₁ w h₂,
split_ifs at h₁ h₂; cases h₁; cases h₂,
exact (h (h_2.symm.trans h_1)).elim
end
/- kerase -/
/-- Remove the first pair with the key `a`. -/
def kerase (a : α) : list (sigma β) → list (sigma β) :=
erasep $ λ s, a = s.1
@[simp] theorem kerase_nil {a} : @kerase _ β _ a [] = [] :=
rfl
@[simp, priority 990]
theorem kerase_cons_eq {a} {s : sigma β} {l : list (sigma β)} (h : a = s.1) :
kerase a (s :: l) = l :=
by simp [kerase, h]
@[simp, priority 990]
theorem kerase_cons_ne {a} {s : sigma β} {l : list (sigma β)} (h : a ≠ s.1) :
kerase a (s :: l) = s :: kerase a l :=
by simp [kerase, h]
@[simp, priority 980]
theorem kerase_of_not_mem_keys {a} {l : list (sigma β)} (h : a ∉ l.keys) :
kerase a l = l :=
by induction l with _ _ ih;
[refl, { simp [not_or_distrib] at h, simp [h.1, ih h.2] }]
theorem kerase_sublist (a : α) (l : list (sigma β)) : kerase a l <+ l :=
erasep_sublist _
theorem kerase_keys_subset (a) (l : list (sigma β)) :
(kerase a l).keys ⊆ l.keys :=
((kerase_sublist a l).map _).subset
theorem mem_keys_of_mem_keys_kerase {a₁ a₂} {l : list (sigma β)} :
a₁ ∈ (kerase a₂ l).keys → a₁ ∈ l.keys :=
@kerase_keys_subset _ _ _ _ _ _
theorem exists_of_kerase {a : α} {l : list (sigma β)} (h : a ∈ l.keys) :
∃ (b : β a) (l₁ l₂ : list (sigma β)),
a ∉ l₁.keys ∧
l = l₁ ++ ⟨a, b⟩ :: l₂ ∧
kerase a l = l₁ ++ l₂ :=
begin
induction l,
case list.nil { cases h },
case list.cons : hd tl ih {
by_cases e : a = hd.1,
{ subst e,
exact ⟨hd.2, [], tl, by simp, by cases hd; refl, by simp⟩ },
{ simp at h,
cases h,
case or.inl : h { exact absurd h e },
case or.inr : h {
rcases ih h with ⟨b, tl₁, tl₂, h₁, h₂, h₃⟩,
exact ⟨b, hd :: tl₁, tl₂, not_mem_cons_of_ne_of_not_mem e h₁,
by rw h₂; refl, by simp [e, h₃]⟩ } } }
end
@[simp, priority 990]
theorem mem_keys_kerase_of_ne {a₁ a₂} {l : list (sigma β)} (h : a₁ ≠ a₂) :
a₁ ∈ (kerase a₂ l).keys ↔ a₁ ∈ l.keys :=
iff.intro mem_keys_of_mem_keys_kerase $ λ p,
if q : a₂ ∈ l.keys then
match l, kerase a₂ l, exists_of_kerase q, p with
| _, _, ⟨_, _, _, _, rfl, rfl⟩, p := by simpa [keys, h] using p
end
else
by simp [q, p]
theorem keys_kerase {a} {l : list (sigma β)} : (kerase a l).keys = l.keys.erase a :=
by rw [keys, kerase, ←erasep_map sigma.fst l, erase_eq_erasep]
theorem kerase_kerase {a a'} {l : list (sigma β)} :
(kerase a' l).kerase a = (kerase a l).kerase a' :=
begin
by_cases a = a',
{ subst a' },
induction l with x xs, { refl },
{ by_cases a' = x.1,
{ subst a', simp [kerase_cons_ne h,kerase_cons_eq rfl] },
by_cases h' : a = x.1,
{ subst a, simp [kerase_cons_eq rfl,kerase_cons_ne (ne.symm h)] },
{ simp [kerase_cons_ne,*] } }
end
theorem kerase_nodupkeys (a : α) {l : list (sigma β)} : nodupkeys l → (kerase a l).nodupkeys :=
nodupkeys_of_sublist $ kerase_sublist _ _
theorem perm.kerase {a : α} {l₁ l₂ : list (sigma β)}
(nd : l₁.nodupkeys) : l₁ ~ l₂ → kerase a l₁ ~ kerase a l₂ :=
perm.erasep _ $ (nodupkeys_iff_pairwise.1 nd).imp $
by rintro x y h rfl; exact h
@[simp] theorem not_mem_keys_kerase (a) {l : list (sigma β)} (nd : l.nodupkeys) :
a ∉ (kerase a l).keys :=
begin
induction l,
case list.nil { simp },
case list.cons : hd tl ih {
simp at nd,
by_cases h : a = hd.1,
{ subst h, simp [nd.1] },
{ simp [h, ih nd.2] } }
end
@[simp] theorem lookup_kerase (a) {l : list (sigma β)} (nd : l.nodupkeys) :
lookup a (kerase a l) = none :=
lookup_eq_none.mpr (not_mem_keys_kerase a nd)
@[simp] theorem lookup_kerase_ne {a a'} {l : list (sigma β)} (h : a ≠ a') :
lookup a (kerase a' l) = lookup a l :=
begin
induction l,
case list.nil { refl },
case list.cons : hd tl ih {
cases hd with ah bh,
by_cases h₁ : a = ah; by_cases h₂ : a' = ah,
{ substs h₁ h₂, cases ne.irrefl h },
{ subst h₁, simp [h₂] },
{ subst h₂, simp [h] },
{ simp [h₁, h₂, ih] }
}
end
theorem kerase_append_left {a} : ∀ {l₁ l₂ : list (sigma β)},
a ∈ l₁.keys → kerase a (l₁ ++ l₂) = kerase a l₁ ++ l₂
| [] _ h := by cases h
| (s :: l₁) l₂ h₁ :=
if h₂ : a = s.1 then
by simp [h₂]
else
by simp at h₁;
cases h₁;
[exact absurd h₁ h₂, simp [h₂, kerase_append_left h₁]]
theorem kerase_append_right {a} : ∀ {l₁ l₂ : list (sigma β)},
a ∉ l₁.keys → kerase a (l₁ ++ l₂) = l₁ ++ kerase a l₂
| [] _ h := rfl
| (_ :: l₁) l₂ h := by simp [not_or_distrib] at h;
simp [h.1, kerase_append_right h.2]
theorem kerase_comm (a₁ a₂) (l : list (sigma β)) :
kerase a₂ (kerase a₁ l) = kerase a₁ (kerase a₂ l) :=
if h : a₁ = a₂ then
by simp [h]
else if ha₁ : a₁ ∈ l.keys then
if ha₂ : a₂ ∈ l.keys then
match l, kerase a₁ l, exists_of_kerase ha₁, ha₂ with
| _, _, ⟨b₁, l₁, l₂, a₁_nin_l₁, rfl, rfl⟩, a₂_in_l₁_app_l₂ :=
if h' : a₂ ∈ l₁.keys then
by simp [kerase_append_left h',
kerase_append_right (mt (mem_keys_kerase_of_ne h).mp a₁_nin_l₁)]
else
by simp [kerase_append_right h', kerase_append_right a₁_nin_l₁,
@kerase_cons_ne _ _ _ a₂ ⟨a₁, b₁⟩ _ (ne.symm h)]
end
else
by simp [ha₂, mt mem_keys_of_mem_keys_kerase ha₂]
else
by simp [ha₁, mt mem_keys_of_mem_keys_kerase ha₁]
/- kinsert -/
/-- Insert the pair `⟨a, b⟩` and erase the first pair with the key `a`. -/
def kinsert (a : α) (b : β a) (l : list (sigma β)) : list (sigma β) :=
⟨a, b⟩ :: kerase a l
@[simp] theorem kinsert_def {a} {b : β a} {l : list (sigma β)} :
kinsert a b l = ⟨a, b⟩ :: kerase a l := rfl
theorem mem_keys_kinsert {a a'} {b' : β a'} {l : list (sigma β)} :
a ∈ (kinsert a' b' l).keys ↔ a = a' ∨ a ∈ l.keys :=
by by_cases h : a = a'; simp [h]
theorem kinsert_nodupkeys (a) (b : β a) {l : list (sigma β)} (nd : l.nodupkeys) :
(kinsert a b l).nodupkeys :=
nodupkeys_cons.mpr ⟨not_mem_keys_kerase a nd, kerase_nodupkeys a nd⟩
theorem perm.kinsert {a} {b : β a} {l₁ l₂ : list (sigma β)} (nd₁ : l₁.nodupkeys)
(p : l₁ ~ l₂) : kinsert a b l₁ ~ kinsert a b l₂ :=
(p.kerase nd₁).cons _
theorem lookup_kinsert {a} {b : β a} (l : list (sigma β)) :
lookup a (kinsert a b l) = some b :=
by simp only [kinsert, lookup_cons_eq]
theorem lookup_kinsert_ne {a a'} {b' : β a'} {l : list (sigma β)} (h : a ≠ a') :
lookup a (kinsert a' b' l) = lookup a l :=
by simp [h]
/- kextract -/
def kextract (a : α) : list (sigma β) → option (β a) × list (sigma β)
| [] := (none, [])
| (s::l) := if h : s.1 = a then (some (eq.rec_on h s.2), l) else
let (b', l') := kextract l in (b', s :: l')
@[simp] theorem kextract_eq_lookup_kerase (a : α) :
∀ l : list (sigma β), kextract a l = (lookup a l, kerase a l)
| [] := rfl
| (⟨a', b⟩::l) := begin
simp [kextract], dsimp, split_ifs,
{ subst a', simp [kerase] },
{ simp [kextract, ne.symm h, kextract_eq_lookup_kerase l, kerase] }
end
/- erase_dupkeys -/
/-- Remove entries with duplicate keys from `l : list (sigma β)`. -/
def erase_dupkeys : list (sigma β) → list (sigma β) :=
list.foldr (λ x, kinsert x.1 x.2) []
lemma erase_dupkeys_cons {x : sigma β} (l : list (sigma β)) :
erase_dupkeys (x :: l) = kinsert x.1 x.2 (erase_dupkeys l) := rfl
lemma nodupkeys_erase_dupkeys (l : list (sigma β)) : nodupkeys (erase_dupkeys l) :=
begin
dsimp [erase_dupkeys], generalize hl : nil = l',
have : nodupkeys l', { rw ← hl, apply nodup_nil },
clear hl,
induction l with x xs,
{ apply this },
{ cases x, simp [erase_dupkeys], split,
{ simp [keys_kerase], apply mem_erase_of_nodup l_ih },
apply kerase_nodupkeys _ l_ih, }
end
lemma lookup_erase_dupkeys (a : α) (l : list (sigma β)) : lookup a (erase_dupkeys l) = lookup a l :=
begin
induction l, refl,
cases l_hd with a' b,
by_cases a = a',
{ subst a', rw [erase_dupkeys_cons,lookup_kinsert,lookup_cons_eq] },
{ rw [erase_dupkeys_cons,lookup_kinsert_ne h,l_ih,lookup_cons_ne], exact h },
end
/- kunion -/
/-- `kunion l₁ l₂` is the append to l₁ of l₂ after, for each key in l₁, the
first matching pair in l₂ is erased. -/
def kunion : list (sigma β) → list (sigma β) → list (sigma β)
| [] l₂ := l₂
| (s :: l₁) l₂ := s :: kunion l₁ (kerase s.1 l₂)
@[simp] theorem nil_kunion {l : list (sigma β)} : kunion [] l = l :=
rfl
@[simp] theorem kunion_nil : ∀ {l : list (sigma β)}, kunion l [] = l
| [] := rfl
| (_ :: l) := by rw [kunion, kerase_nil, kunion_nil]
@[simp] theorem kunion_cons {s} {l₁ l₂ : list (sigma β)} :
kunion (s :: l₁) l₂ = s :: kunion l₁ (kerase s.1 l₂) :=
rfl
@[simp] theorem mem_keys_kunion {a} {l₁ l₂ : list (sigma β)} :
a ∈ (kunion l₁ l₂).keys ↔ a ∈ l₁.keys ∨ a ∈ l₂.keys :=
begin
induction l₁ generalizing l₂,
case list.nil { simp },
case list.cons : s l₁ ih { by_cases h : a = s.1; [simp [h], simp [h, ih]] }
end
@[simp] theorem kunion_kerase {a} : ∀ {l₁ l₂ : list (sigma β)},
kunion (kerase a l₁) (kerase a l₂) = kerase a (kunion l₁ l₂)
| [] _ := rfl
| (s :: _) l := by by_cases h : a = s.1;
simp [h, kerase_comm a s.1 l, kunion_kerase]
theorem kunion_nodupkeys {l₁ l₂ : list (sigma β)}
(nd₁ : l₁.nodupkeys) (nd₂ : l₂.nodupkeys) : (kunion l₁ l₂).nodupkeys :=
begin
induction l₁ generalizing l₂,
case list.nil { simp only [nil_kunion, nd₂] },
case list.cons : s l₁ ih {
simp at nd₁,
simp [not_or_distrib, nd₁.1, nd₂, ih nd₁.2 (kerase_nodupkeys s.1 nd₂)] }
end
theorem perm.kunion_right {l₁ l₂ : list (sigma β)} (p : l₁ ~ l₂) (l) :
kunion l₁ l ~ kunion l₂ l :=
begin
induction p generalizing l,
case list.perm.nil { refl },
case list.perm.cons : hd tl₁ tl₂ p ih {
simp [ih (kerase hd.1 l), perm.cons] },
case list.perm.swap : s₁ s₂ l {
simp [kerase_comm, perm.swap] },
case list.perm.trans : l₁ l₂ l₃ p₁₂ p₂₃ ih₁₂ ih₂₃ {
exact perm.trans (ih₁₂ l) (ih₂₃ l) }
end
theorem perm.kunion_left : ∀ l {l₁ l₂ : list (sigma β)},
l₁.nodupkeys → l₁ ~ l₂ → kunion l l₁ ~ kunion l l₂
| [] _ _ _ p := p
| (s :: l) l₁ l₂ nd₁ p :=
by simp [((p.kerase nd₁).kunion_left l (kerase_nodupkeys s.1 nd₁)).cons s]
theorem perm.kunion {l₁ l₂ l₃ l₄ : list (sigma β)} (nd₃ : l₃.nodupkeys)
(p₁₂ : l₁ ~ l₂) (p₃₄ : l₃ ~ l₄) : kunion l₁ l₃ ~ kunion l₂ l₄ :=
(p₁₂.kunion_right l₃).trans (p₃₄.kunion_left l₂ nd₃)
@[simp] theorem lookup_kunion_left {a} {l₁ l₂ : list (sigma β)} (h : a ∈ l₁.keys) :
lookup a (kunion l₁ l₂) = lookup a l₁ :=
begin
induction l₁ with s _ ih generalizing l₂; simp at h; cases h; cases s with a',
{ subst h, simp },
{ rw kunion_cons,
by_cases h' : a = a',
{ subst h', simp },
{ simp [h', ih h] } }
end
@[simp] theorem lookup_kunion_right {a} {l₁ l₂ : list (sigma β)} (h : a ∉ l₁.keys) :
lookup a (kunion l₁ l₂) = lookup a l₂ :=
begin
induction l₁ generalizing l₂,
case list.nil { simp },
case list.cons : _ _ ih { simp [not_or_distrib] at h, simp [h.1, ih h.2] }
end
@[simp] theorem mem_lookup_kunion {a} {b : β a} {l₁ l₂ : list (sigma β)} :
b ∈ lookup a (kunion l₁ l₂) ↔ b ∈ lookup a l₁ ∨ a ∉ l₁.keys ∧ b ∈ lookup a l₂ :=
begin
induction l₁ generalizing l₂,
case list.nil { simp },
case list.cons : s _ ih {
cases s with a',
by_cases h₁ : a = a',
{ subst h₁, simp },
{ let h₂ := @ih (kerase a' l₂), simp [h₁] at h₂, simp [h₁, h₂] } }
end
theorem mem_lookup_kunion_middle {a} {b : β a} {l₁ l₂ l₃ : list (sigma β)}
(h₁ : b ∈ lookup a (kunion l₁ l₃)) (h₂ : a ∉ keys l₂) :
b ∈ lookup a (kunion (kunion l₁ l₂) l₃) :=
match mem_lookup_kunion.mp h₁ with
| or.inl h := mem_lookup_kunion.mpr (or.inl (mem_lookup_kunion.mpr (or.inl h)))
| or.inr h := mem_lookup_kunion.mpr $
or.inr ⟨mt mem_keys_kunion.mp (not_or_distrib.mpr ⟨h.1, h₂⟩), h.2⟩
end
end list
|
d560694e7b46a5e9c146b5de47d7ed69d830d3f2 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/data/set/semiring.lean | 8a9825a30d394fb2fb957998f59dcd882d866958 | [
"Apache-2.0"
] | permissive | alreadydone/mathlib | dc0be621c6c8208c581f5170a8216c5ba6721927 | c982179ec21091d3e102d8a5d9f5fe06c8fafb73 | refs/heads/master | 1,685,523,275,196 | 1,670,184,141,000 | 1,670,184,141,000 | 287,574,545 | 0 | 0 | Apache-2.0 | 1,670,290,714,000 | 1,597,421,623,000 | Lean | UTF-8 | Lean | false | false | 4,405 | lean | /-
Copyright (c) 2020 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import data.set.pointwise.smul
/-!
# Sets as a semiring under union
This file defines `set_semiring α`, an alias of `set α`, which we endow with `∪` as addition and
pointwise `*` as multiplication. If `α` is a (commutative) monoid, `set_semiring α` is a
(commutative) semiring.
-/
open function set
open_locale pointwise
variables {α β : Type*}
/-- An alias for `set α`, which has a semiring structure given by `∪` as "addition" and pointwise
multiplication `*` as "multiplication". -/
@[derive [inhabited, partial_order, order_bot]] def set_semiring (α : Type*) : Type* := set α
/-- The identity function `set α → set_semiring α`. -/
protected def set.up : set α ≃ set_semiring α := equiv.refl _
namespace set_semiring
/-- The identity function `set_semiring α → set α`. -/
protected def down : set_semiring α ≃ set α := equiv.refl _
@[simp] protected lemma down_up (s : set α) : s.up.down = s := rfl
@[simp] protected lemma up_down (s : set_semiring α) : s.down.up = s := rfl
-- TODO: These lemmas are not tagged `simp` because `set.le_eq_subset` simplifies the LHS
lemma up_le_up {s t : set α} : s.up ≤ t.up ↔ s ⊆ t := iff.rfl
lemma up_lt_up {s t : set α} : s.up < t.up ↔ s ⊂ t := iff.rfl
@[simp] lemma down_subset_down {s t : set_semiring α} : s.down ⊆ t.down ↔ s ≤ t := iff.rfl
@[simp] lemma down_ssubset_down {s t : set_semiring α} : s.down ⊂ t.down ↔ s < t := iff.rfl
instance : add_comm_monoid (set_semiring α) :=
{ add := λ s t, (s.down ∪ t.down).up,
zero := (∅ : set α).up,
add_assoc := union_assoc,
zero_add := empty_union,
add_zero := union_empty,
add_comm := union_comm }
/- Since addition on `set_semiring` is commutative (it is set union), there is no need
to also have the instance `covariant_class (set_semiring α) (set_semiring α) (swap (+)) (≤)`. -/
instance covariant_class_add : covariant_class (set_semiring α) (set_semiring α) (+) (≤) :=
⟨λ a b c, union_subset_union_right _⟩
section has_mul
variables [has_mul α]
instance : non_unital_non_assoc_semiring (set_semiring α) :=
{ mul := λ s t, (image2 (*) s.down t.down).up,
zero_mul := λ s, empty_mul,
mul_zero := λ s, mul_empty,
left_distrib := λ _ _ _, mul_union,
right_distrib := λ _ _ _, union_mul,
..set_semiring.add_comm_monoid }
instance : no_zero_divisors (set_semiring α) :=
⟨λ a b ab, a.eq_empty_or_nonempty.imp_right $ λ ha, b.eq_empty_or_nonempty.resolve_right $
λ hb, nonempty.ne_empty ⟨_, mul_mem_mul ha.some_mem hb.some_mem⟩ ab⟩
instance covariant_class_mul_left : covariant_class (set_semiring α) (set_semiring α) (*) (≤) :=
⟨λ a b c, mul_subset_mul_left⟩
instance covariant_class_mul_right :
covariant_class (set_semiring α) (set_semiring α) (swap (*)) (≤) :=
⟨λ a b c, mul_subset_mul_right⟩
end has_mul
instance [mul_one_class α] : non_assoc_semiring (set_semiring α) :=
{ one := 1,
mul := (*),
..set_semiring.non_unital_non_assoc_semiring, ..set.mul_one_class }
instance [semigroup α] : non_unital_semiring (set_semiring α) :=
{ ..set_semiring.non_unital_non_assoc_semiring, ..set.semigroup }
instance [monoid α] : semiring (set_semiring α) :=
{ ..set_semiring.non_assoc_semiring, ..set_semiring.non_unital_semiring }
instance [comm_semigroup α] : non_unital_comm_semiring (set_semiring α) :=
{ ..set_semiring.non_unital_semiring, ..set.comm_semigroup }
instance [comm_monoid α] : canonically_ordered_comm_semiring (set_semiring α) :=
{ add_le_add_left := λ a b, add_le_add_left,
exists_add_of_le := λ a b ab, ⟨b, (union_eq_right_iff_subset.2 ab).symm⟩,
le_self_add := subset_union_left,
..set_semiring.semiring, ..set.comm_monoid, ..set_semiring.partial_order _,
..set_semiring.order_bot _, ..set_semiring.no_zero_divisors }
/-- The image of a set under a multiplicative homomorphism is a ring homomorphism
with respect to the pointwise operations on sets. -/
def image_hom [mul_one_class α] [mul_one_class β] (f : α →* β) :
set_semiring α →+* set_semiring β :=
{ to_fun := image f,
map_zero' := image_empty _,
map_one' := by rw [image_one, map_one, singleton_one],
map_add' := image_union _,
map_mul' := λ _ _, image_mul f }
end set_semiring
|
3b90881e6b46b152e6ca6d8c5c6db410485ae09d | b00eb947a9c4141624aa8919e94ce6dcd249ed70 | /stage0/src/Init/Data/Nat/Basic.lean | 230a30725df5f1649e815b28a203d6bf221d72fe | [
"Apache-2.0"
] | permissive | gebner/lean4-old | a4129a041af2d4d12afb3a8d4deedabde727719b | ee51cdfaf63ee313c914d83264f91f414a0e3b6e | refs/heads/master | 1,683,628,606,745 | 1,622,651,300,000 | 1,622,654,405,000 | 142,608,821 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 13,677 | lean | /-
Copyright (c) 2014 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Leonardo de Moura
-/
prelude
import Init.SimpLemmas
universes u
namespace Nat
@[specialize] def foldAux {α : Type u} (f : Nat → α → α) (s : Nat) : Nat → α → α
| 0, a => a
| succ n, a => foldAux f s n (f (s - (succ n)) a)
@[inline] def fold {α : Type u} (f : Nat → α → α) (n : Nat) (init : α) : α :=
foldAux f n n init
@[inline] def foldRev {α : Type u} (f : Nat → α → α) (n : Nat) (init : α) : α :=
let rec @[specialize] loop
| 0, a => a
| succ n, a => loop n (f n a)
loop n init
@[specialize] def anyAux (f : Nat → Bool) (s : Nat) : Nat → Bool
| 0 => false
| succ n => f (s - (succ n)) || anyAux f s n
/- `any f n = true` iff there is `i in [0, n-1]` s.t. `f i = true` -/
@[inline] def any (f : Nat → Bool) (n : Nat) : Bool :=
anyAux f n n
@[inline] def all (f : Nat → Bool) (n : Nat) : Bool :=
!any (fun i => !f i) n
@[inline] def repeat {α : Type u} (f : α → α) (n : Nat) (a : α) : α :=
let rec @[specialize] loop
| 0, a => a
| succ n, a => loop n (f a)
loop n a
/- Nat.add theorems -/
@[simp] theorem zero_Eq : Nat.zero = 0 :=
rfl
@[simp] protected theorem zero_add : ∀ (n : Nat), 0 + n = n
| 0 => rfl
| n+1 => congrArg succ (Nat.zero_add n)
theorem succ_add : ∀ (n m : Nat), (succ n) + m = succ (n + m)
| n, 0 => rfl
| n, m+1 => congrArg succ (succ_add n m)
theorem add_succ (n m : Nat) : n + succ m = succ (n + m) :=
rfl
@[simp] protected theorem add_zero (n : Nat) : n + 0 = n :=
rfl
theorem add_one (n : Nat) : n + 1 = succ n :=
rfl
theorem succ_Eq_add_one (n : Nat) : succ n = n + 1 :=
rfl
protected theorem add_comm : ∀ (n m : Nat), n + m = m + n
| n, 0 => Eq.symm (Nat.zero_add n)
| n, m+1 => by
have : succ (n + m) = succ (m + n) := by apply congrArg; apply Nat.add_comm
rw [succ_add m n]
apply this
protected theorem add_assoc : ∀ (n m k : Nat), (n + m) + k = n + (m + k)
| n, m, 0 => rfl
| n, m, succ k => congrArg succ (Nat.add_assoc n m k)
protected theorem add_left_comm (n m k : Nat) : n + (m + k) = m + (n + k) := by
rw [← Nat.add_assoc, Nat.add_comm n m, Nat.add_assoc]
protected theorem add_right_comm (n m k : Nat) : (n + m) + k = (n + k) + m := by
rw [Nat.add_assoc, Nat.add_comm m k, ← Nat.add_assoc]
protected theorem add_left_cancel {n m k : Nat} : n + m = n + k → m = k := by
induction n with
| zero => simp; intros; assumption
| succ n ih => simp [succ_add]; intro h; apply ih h
protected theorem add_right_cancel {n m k : Nat} (h : n + m = k + m) : n = k := by
rw [Nat.add_comm n m, Nat.add_comm k m] at h
apply Nat.add_left_cancel h
/- Nat.mul theorems -/
@[simp] protected theorem mul_zero (n : Nat) : n * 0 = 0 :=
rfl
theorem mul_succ (n m : Nat) : n * succ m = n * m + n :=
rfl
@[simp] protected theorem zero_mul : ∀ (n : Nat), 0 * n = 0
| 0 => rfl
| succ n => mul_succ 0 n ▸ (Nat.zero_mul n).symm ▸ rfl
theorem succ_mul (n m : Nat) : (succ n) * m = (n * m) + m := by
induction m with
| zero => rfl
| succ m ih => rw [mul_succ, add_succ, ih, mul_succ, add_succ, Nat.add_right_comm]
protected theorem mul_comm : ∀ (n m : Nat), n * m = m * n
| n, 0 => (Nat.zero_mul n).symm ▸ (Nat.mul_zero n).symm ▸ rfl
| n, succ m => (mul_succ n m).symm ▸ (succ_mul m n).symm ▸ (Nat.mul_comm n m).symm ▸ rfl
@[simp] protected theorem mul_one : ∀ (n : Nat), n * 1 = n :=
Nat.zero_add
@[simp] protected theorem one_mul (n : Nat) : 1 * n = n :=
Nat.mul_comm n 1 ▸ Nat.mul_one n
protected theorem left_distrib (n m k : Nat) : n * (m + k) = n * m + n * k := by
induction n generalizing m k with
| zero => repeat rw [Nat.zero_mul]
| succ n ih => simp [succ_mul, ih]; rw [Nat.add_assoc, Nat.add_assoc (n*m)]; apply congrArg; apply Nat.add_left_comm
protected theorem right_distrib (n m k : Nat) : (n + m) * k = n * k + m * k :=
have h₁ : (n + m) * k = k * (n + m) := Nat.mul_comm ..
have h₂ : k * (n + m) = k * n + k * m := Nat.left_distrib ..
have h₃ : k * n + k * m = n * k + k * m := Nat.mul_comm n k ▸ rfl
have h₄ : n * k + k * m = n * k + m * k := Nat.mul_comm m k ▸ rfl
((h₁.trans h₂).trans h₃).trans h₄
protected theorem mul_assoc : ∀ (n m k : Nat), (n * m) * k = n * (m * k)
| n, m, 0 => rfl
| n, m, succ k =>
have h₁ : n * m * succ k = n * m * (k + 1) := rfl
have h₂ : n * m * (k + 1) = (n * m * k) + n * m * 1 := Nat.left_distrib ..
have h₃ : (n * m * k) + n * m * 1 = (n * m * k) + n * m := by rw [Nat.mul_one (n*m)]
have h₄ : (n * m * k) + n * m = (n * (m * k)) + n * m := by rw [Nat.mul_assoc n m k]
have h₅ : (n * (m * k)) + n * m = n * (m * k + m) := (Nat.left_distrib n (m*k) m).symm
have h₆ : n * (m * k + m) = n * (m * succ k) := Nat.mul_succ m k ▸ rfl
((((h₁.trans h₂).trans h₃).trans h₄).trans h₅).trans h₆
/- Inequalities -/
theorem succ_lt_succ {n m : Nat} : n < m → succ n < succ m :=
succLeSucc
theorem lt_succ_of_le {n m : Nat} : n ≤ m → n < succ m :=
succLeSucc
@[simp] protected theorem sub_zero (n : Nat) : n - 0 = n :=
rfl
theorem succ_sub_succ_eq_sub (n m : Nat) : succ n - succ m = n - m := by
induction m with
| zero => exact rfl
| succ m ih => apply congrArg pred ih
theorem notSuccLeSelf (n : Nat) : ¬succ n ≤ n := by
induction n with
| zero => intro h; apply notSuccLeZero 0 h
| succ n ih => intro h; exact ih (leOfSuccLeSucc h)
protected theorem ltIrrefl (n : Nat) : ¬n < n :=
notSuccLeSelf n
theorem predLe : ∀ (n : Nat), pred n ≤ n
| zero => rfl
| succ n => leSucc _
theorem predLt : ∀ {n : Nat}, n ≠ 0 → pred n < n
| zero, h => absurd rfl h
| succ n, h => lt_succ_of_le (Nat.leRefl _)
theorem subLe (n m : Nat) : n - m ≤ n := by
induction m with
| zero => exact Nat.leRefl (n - 0)
| succ m ih => apply Nat.leTrans (predLe (n - m)) ih
theorem subLt : ∀ {n m : Nat}, 0 < n → 0 < m → n - m < n
| 0, m, h1, h2 => absurd h1 (Nat.ltIrrefl 0)
| n+1, 0, h1, h2 => absurd h2 (Nat.ltIrrefl 0)
| n+1, m+1, h1, h2 =>
Eq.symm (succ_sub_succ_eq_sub n m) ▸
show n - m < succ n from
lt_succ_of_le (subLe n m)
theorem sub_succ (n m : Nat) : n - succ m = pred (n - m) :=
rfl
theorem succ_sub_succ (n m : Nat) : succ n - succ m = n - m :=
succ_sub_succ_eq_sub n m
protected theorem sub_self : ∀ (n : Nat), n - n = 0
| 0 => by rw [Nat.sub_zero]
| (succ n) => by rw [succ_sub_succ, Nat.sub_self n]
protected theorem ltOfLtOfLe {n m k : Nat} : n < m → m ≤ k → n < k :=
Nat.leTrans
protected theorem ltOfLtOfEq {n m k : Nat} : n < m → m = k → n < k :=
fun h₁ h₂ => h₂ ▸ h₁
protected theorem leOfEq {n m : Nat} (p : n = m) : n ≤ m :=
p ▸ Nat.leRefl n
theorem leOfSuccLe {n m : Nat} (h : succ n ≤ m) : n ≤ m :=
Nat.leTrans (leSucc n) h
protected theorem leOfLt {n m : Nat} (h : n < m) : n ≤ m :=
leOfSuccLe h
def lt.step {n m : Nat} : n < m → n < succ m := leStep
def succPos := zeroLtSucc
theorem eqZeroOrPos : ∀ (n : Nat), n = 0 ∨ n > 0
| 0 => Or.inl rfl
| n+1 => Or.inr (succPos _)
protected theorem ltOfLeOfLt {n m k : Nat} (h₁ : n ≤ m) : m < k → n < k :=
Nat.leTrans (succLeSucc h₁)
def lt.base (n : Nat) : n < succ n := Nat.leRefl (succ n)
theorem ltSuccSelf (n : Nat) : n < succ n := lt.base n
protected theorem leTotal (m n : Nat) : m ≤ n ∨ n ≤ m :=
match Nat.ltOrGe m n with
| Or.inl h => Or.inl (Nat.leOfLt h)
| Or.inr h => Or.inr h
protected theorem ltOfLeAndNe {m n : Nat} (h₁ : m ≤ n) (h₂ : m ≠ n) : m < n :=
match Nat.eqOrLtOfLe h₁ with
| Or.inl h => absurd h h₂
| Or.inr h => h
theorem eqZeroOfLeZero {n : Nat} (h : n ≤ 0) : n = 0 :=
Nat.leAntisymm h (zeroLe _)
theorem ltOfSuccLt {n m : Nat} : succ n < m → n < m :=
leOfSuccLe
theorem lt_of_succ_lt_succ {n m : Nat} : succ n < succ m → n < m :=
leOfSuccLeSucc
theorem ltOfSuccLe {n m : Nat} (h : succ n ≤ m) : n < m :=
h
theorem succLeOfLt {n m : Nat} (h : n < m) : succ n ≤ m :=
h
theorem ltOrEqOrLeSucc {m n : Nat} (h : m ≤ succ n) : m ≤ n ∨ m = succ n :=
Decidable.byCases
(fun (h' : m = succ n) => Or.inr h')
(fun (h' : m ≠ succ n) =>
have : m < succ n := Nat.ltOfLeAndNe h h'
have : succ m ≤ succ n := succLeOfLt this
Or.inl (leOfSuccLeSucc this))
theorem leAddRight : ∀ (n k : Nat), n ≤ n + k
| n, 0 => Nat.leRefl n
| n, k+1 => leSuccOfLe (leAddRight n k)
theorem leAddLeft (n m : Nat): n ≤ m + n :=
Nat.add_comm n m ▸ leAddRight n m
theorem le.dest : ∀ {n m : Nat}, n ≤ m → Exists (fun k => n + k = m)
| zero, zero, h => ⟨0, rfl⟩
| zero, succ n, h => ⟨succ n, Nat.add_comm 0 (succ n) ▸ rfl⟩
| succ n, zero, h => Bool.noConfusion h
| succ n, succ m, h =>
have : n ≤ m := h
have : Exists (fun k => n + k = m) := dest this
match this with
| ⟨k, h⟩ => ⟨k, show succ n + k = succ m from ((succ_add n k).symm ▸ h ▸ rfl)⟩
theorem le.intro {n m k : Nat} (h : n + k = m) : n ≤ m :=
h ▸ leAddRight n k
protected theorem notLeOfGt {n m : Nat} (h : n > m) : ¬ n ≤ m := fun h₁ =>
match Nat.ltOrGe n m with
| Or.inl h₂ => absurd (Nat.ltTrans h h₂) (Nat.ltIrrefl _)
| Or.inr h₂ =>
have Heq : n = m := Nat.leAntisymm h₁ h₂
absurd (@Eq.subst _ _ _ _ Heq h) (Nat.ltIrrefl m)
theorem gtOfNotLe {n m : Nat} (h : ¬ n ≤ m) : n > m :=
match Nat.ltOrGe m n with
| Or.inl h₁ => h₁
| Or.inr h₁ => absurd h₁ h
protected theorem addLeAddLeft {n m : Nat} (h : n ≤ m) (k : Nat) : k + n ≤ k + m :=
match le.dest h with
| ⟨w, hw⟩ =>
have h₁ : k + n + w = k + (n + w) := Nat.add_assoc ..
have h₂ : k + (n + w) = k + m := congrArg _ hw
le.intro <| h₁.trans h₂
protected theorem addLeAddRight {n m : Nat} (h : n ≤ m) (k : Nat) : n + k ≤ m + k := by
rw [Nat.add_comm n k, Nat.add_comm m k]
apply Nat.addLeAddLeft
assumption
protected theorem addLtAddLeft {n m : Nat} (h : n < m) (k : Nat) : k + n < k + m :=
ltOfSuccLe (add_succ k n ▸ Nat.addLeAddLeft (succLeOfLt h) k)
protected theorem addLtAddRight {n m : Nat} (h : n < m) (k : Nat) : n + k < m + k :=
Nat.add_comm k m ▸ Nat.add_comm k n ▸ Nat.addLtAddLeft h k
protected theorem zeroLtOne : 0 < (1:Nat) :=
zeroLtSucc 0
theorem addLeAdd {a b c d : Nat} (h₁ : a ≤ b) (h₂ : c ≤ d) : a + c ≤ b + d :=
Nat.leTrans (Nat.addLeAddRight h₁ c) (Nat.addLeAddLeft h₂ b)
theorem addLtAdd {a b c d : Nat} (h₁ : a < b) (h₂ : c < d) : a + c < b + d :=
Nat.ltTrans (Nat.addLtAddRight h₁ c) (Nat.addLtAddLeft h₂ b)
/- Basic theorems for comparing numerals -/
theorem natZeroEqZero : Nat.zero = 0 :=
rfl
protected theorem oneNeZero : 1 ≠ (0 : Nat) :=
fun h => Nat.noConfusion h
protected theorem zeroNeOne : 0 ≠ (1 : Nat) :=
fun h => Nat.noConfusion h
theorem succNeZero (n : Nat) : succ n ≠ 0 :=
fun h => Nat.noConfusion h
/- mul + order -/
theorem mulLeMulLeft {n m : Nat} (k : Nat) (h : n ≤ m) : k * n ≤ k * m :=
match le.dest h with
| ⟨l, hl⟩ =>
have : k * n + k * l = k * m := Nat.left_distrib k n l ▸ hl.symm ▸ rfl
le.intro this
theorem mulLeMulRight {n m : Nat} (k : Nat) (h : n ≤ m) : n * k ≤ m * k :=
Nat.mul_comm k m ▸ Nat.mul_comm k n ▸ mulLeMulLeft k h
protected theorem mulLeMul {n₁ m₁ n₂ m₂ : Nat} (h₁ : n₁ ≤ n₂) (h₂ : m₁ ≤ m₂) : n₁ * m₁ ≤ n₂ * m₂ :=
Nat.leTrans (mulLeMulRight _ h₁) (mulLeMulLeft _ h₂)
protected theorem mulLtMulOfPosLeft {n m k : Nat} (h : n < m) (hk : k > 0) : k * n < k * m :=
Nat.ltOfLtOfLe (Nat.addLtAddLeft hk _) (Nat.mul_succ k n ▸ Nat.mulLeMulLeft k (succLeOfLt h))
protected theorem mulLtMulOfPosRight {n m k : Nat} (h : n < m) (hk : k > 0) : n * k < m * k :=
Nat.mul_comm k m ▸ Nat.mul_comm k n ▸ Nat.mulLtMulOfPosLeft h hk
protected theorem mulPos {n m : Nat} (ha : n > 0) (hb : m > 0) : n * m > 0 :=
have h : 0 * m < n * m := Nat.mulLtMulOfPosRight ha hb
Nat.zero_mul m ▸ h
/- power -/
theorem powSucc (n m : Nat) : n^(succ m) = n^m * n :=
rfl
theorem powZero (n : Nat) : n^0 = 1 := rfl
theorem powLePowOfLeLeft {n m : Nat} (h : n ≤ m) : ∀ (i : Nat), n^i ≤ m^i
| 0 => Nat.leRefl _
| succ i => Nat.mulLeMul (powLePowOfLeLeft h i) h
theorem powLePowOfLeRight {n : Nat} (hx : n > 0) {i : Nat} : ∀ {j}, i ≤ j → n^i ≤ n^j
| 0, h =>
have : i = 0 := eqZeroOfLeZero h
this.symm ▸ Nat.leRefl _
| succ j, h =>
match ltOrEqOrLeSucc h with
| Or.inl h => show n^i ≤ n^j * n from
have : n^i * 1 ≤ n^j * n := Nat.mulLeMul (powLePowOfLeRight hx h) hx
Nat.mul_one (n^i) ▸ this
| Or.inr h =>
h.symm ▸ Nat.leRefl _
theorem posPowOfPos {n : Nat} (m : Nat) (h : 0 < n) : 0 < n^m :=
powLePowOfLeRight h (Nat.zeroLe _)
/- min/max -/
protected def min (n m : Nat) : Nat :=
if n ≤ m then n else m
protected def max (n m : Nat) : Nat :=
if n ≤ m then m else n
end Nat
namespace Prod
@[inline] def foldI {α : Type u} (f : Nat → α → α) (i : Nat × Nat) (a : α) : α :=
Nat.foldAux f i.2 (i.2 - i.1) a
@[inline] def anyI (f : Nat → Bool) (i : Nat × Nat) : Bool :=
Nat.anyAux f i.2 (i.2 - i.1)
@[inline] def allI (f : Nat → Bool) (i : Nat × Nat) : Bool :=
Nat.anyAux (fun a => !f a) i.2 (i.2 - i.1)
end Prod
|
04afa702cf046053176f3480b8ffd6859a21b04e | 6dc0c8ce7a76229dd81e73ed4474f15f88a9e294 | /stage0/src/Lean/Elab/BuiltinNotation.lean | 6dc8378a4b84c0db374407c62497e56cb19d7989 | [
"Apache-2.0"
] | permissive | williamdemeo/lean4 | 72161c58fe65c3ad955d6a3050bb7d37c04c0d54 | 6d00fcf1d6d873e195f9220c668ef9c58e9c4a35 | refs/heads/master | 1,678,305,356,877 | 1,614,708,995,000 | 1,614,708,995,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 14,821 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Init.Data.ToString
import Lean.Compiler.BorrowedAnnotation
import Lean.Meta.KAbstract
import Lean.Meta.Transform
import Lean.Elab.Term
import Lean.Elab.SyntheticMVars
namespace Lean.Elab.Term
open Meta
@[builtinTermElab anonymousCtor] def elabAnonymousCtor : TermElab := fun stx expectedType? =>
match stx with
| `(⟨$args,*⟩) => do
tryPostponeIfNoneOrMVar expectedType?
match expectedType? with
| some expectedType =>
let expectedType ← whnf expectedType
matchConstInduct expectedType.getAppFn
(fun _ => throwError! "invalid constructor ⟨...⟩, expected type must be an inductive type {indentExpr expectedType}")
(fun ival us => do
match ival.ctors with
| [ctor] =>
let newStx ← `($(mkCIdentFrom stx ctor) $(args)*)
withMacroExpansion stx newStx $ elabTerm newStx expectedType?
| _ => throwError! "invalid constructor ⟨...⟩, expected type must be an inductive type with only one constructor {indentExpr expectedType}")
| none => throwError "invalid constructor ⟨...⟩, expected type must be known"
| _ => throwUnsupportedSyntax
@[builtinTermElab borrowed] def elabBorrowed : TermElab := fun stx expectedType? =>
match stx with
| `(@& $e) => return markBorrowed (← elabTerm e expectedType?)
| _ => throwUnsupportedSyntax
@[builtinMacro Lean.Parser.Term.show] def expandShow : Macro := fun stx =>
match stx with
| `(show $type from $val) => let thisId := mkIdentFrom stx `this; `(let! $thisId : $type := $val; $thisId)
| `(show $type by $tac:tacticSeq) => `(show $type from by $tac:tacticSeq)
| _ => Macro.throwUnsupported
@[builtinMacro Lean.Parser.Term.have] def expandHave : Macro := fun stx =>
let mkId (x? : Option Syntax) : Syntax :=
x?.getD <| mkIdentFrom stx `this
match stx with
| `(have $[$x :]? $type from $val $[;]? $body) => let x := mkId x; `(let! $x : $type := $val; $body)
| `(have $[$x :]? $type := $val $[;]? $body) => let x := mkId x; `(let! $x : $type := $val; $body)
| `(have $[$x :]? $type by $tac:tacticSeq $[;]? $body) => `(have $[$x :]? $type from by $tac:tacticSeq; $body)
| _ => Macro.throwUnsupported
@[builtinMacro Lean.Parser.Term.suffices] def expandSuffices : Macro
| `(suffices $[$x :]? $type from $val $[;]? $body) => `(have $[$x :]? $type from $body; $val)
| `(suffices $[$x :]? $type by $tac:tacticSeq $[;]? $body) => `(have $[$x :]? $type from $body; by $tac:tacticSeq)
| _ => Macro.throwUnsupported
private def elabParserMacroAux (prec : Syntax) (e : Syntax) : TermElabM Syntax := do
let (some declName) ← getDeclName?
| throwError "invalid `parser!` macro, it must be used in definitions"
match extractMacroScopes declName with
| { name := Name.str _ s _, scopes := scps, .. } =>
let kind := quote declName
let s := quote s
let p ← `(Lean.Parser.leadingNode $kind $prec $e)
if scps == [] then
-- TODO simplify the following quotation as soon as we have coercions
`(OrElse.orElse (Lean.Parser.mkAntiquot $s (some $kind)) $p)
else
-- if the parser decl is hidden by hygiene, it doesn't make sense to provide an antiquotation kind
`(OrElse.orElse (Lean.Parser.mkAntiquot $s none) $p)
| _ => throwError "invalid `parser!` macro, unexpected declaration name"
@[builtinTermElab «parser!»] def elabParserMacro : TermElab :=
adaptExpander fun stx => match stx with
| `(parser! $e) => elabParserMacroAux (quote Parser.maxPrec) e
| `(parser! : $prec $e) => elabParserMacroAux prec e
| _ => throwUnsupportedSyntax
private def elabTParserMacroAux (prec : Syntax) (e : Syntax) : TermElabM Syntax := do
let declName? ← getDeclName?
match declName? with
| some declName => let kind := quote declName; `(Lean.Parser.trailingNode $kind $prec $e)
| none => throwError "invalid `tparser!` macro, it must be used in definitions"
@[builtinTermElab «tparser!»] def elabTParserMacro : TermElab :=
adaptExpander fun stx => match stx with
| `(tparser! $e) => elabTParserMacroAux (quote Parser.maxPrec) e
| `(tparser! : $prec $e) => elabTParserMacroAux prec e
| _ => throwUnsupportedSyntax
private def mkNativeReflAuxDecl (type val : Expr) : TermElabM Name := do
let auxName ← mkAuxName `_nativeRefl
let decl := Declaration.defnDecl {
name := auxName, levelParams := [], type := type, value := val,
hints := ReducibilityHints.abbrev,
safety := DefinitionSafety.safe
}
addDecl decl
compileDecl decl
pure auxName
private def elabClosedTerm (stx : Syntax) (expectedType? : Option Expr) : TermElabM Expr := do
let e ← elabTermAndSynthesize stx expectedType?
if e.hasMVar then
throwError! "invalid macro application, term contains metavariables{indentExpr e}"
if e.hasFVar then
throwError! "invalid macro application, term contains free variables{indentExpr e}"
pure e
@[builtinTermElab «nativeRefl»] def elabNativeRefl : TermElab := fun stx _ => do
let arg := stx[1]
let e ← elabClosedTerm arg none
let type ← inferType e
let type ← whnf type
unless type.isConstOf `Bool || type.isConstOf `Nat do
throwError! "invalid `nativeRefl!` macro application, term must have type `Nat` or `Bool`{indentExpr type}"
let auxDeclName ← mkNativeReflAuxDecl type e
let isBool := type.isConstOf `Bool
let reduceValFn := if isBool then `Lean.reduceBool else `Lean.reduceNat
let reduceThm := if isBool then `Lean.ofReduceBool else `Lean.ofReduceNat
let aux := Lean.mkConst auxDeclName
let reduceVal := mkApp (Lean.mkConst reduceValFn) aux
let val? ← liftMetaM $ Meta.reduceNative? reduceVal
match val? with
| none => throwError! "failed to reduce term at `nativeRefl!` macro application{e}"
| some val =>
let rflPrf ← mkEqRefl val
let r := mkApp3 (Lean.mkConst reduceThm) aux val rflPrf
let eq ← mkEq e val
mkExpectedTypeHint r eq
private def getPropToDecide (expectedType? : Option Expr) : TermElabM Expr := do
tryPostponeIfNoneOrMVar expectedType?
match expectedType? with
| none => throwError "invalid macro, expected type is not available"
| some expectedType =>
synthesizeSyntheticMVars
let mut expectedType ← instantiateMVars expectedType
if expectedType.hasFVar then
expectedType ← zetaReduce expectedType
if expectedType.hasFVar || expectedType.hasMVar then
throwError! "expected type must not contain free or meta variables{indentExpr expectedType}"
pure expectedType
@[builtinTermElab «nativeDecide»] def elabNativeDecide : TermElab := fun stx expectedType? => do
let p ← getPropToDecide expectedType?
let d ← mkDecide p
let auxDeclName ← mkNativeReflAuxDecl (Lean.mkConst `Bool) d
let rflPrf ← mkEqRefl (toExpr true)
let r := mkApp3 (Lean.mkConst `Lean.ofReduceBool) (Lean.mkConst auxDeclName) (toExpr true) rflPrf
mkExpectedTypeHint r p
@[builtinTermElab Lean.Parser.Term.decide] def elabDecide : TermElab := fun stx expectedType? => do
let p ← getPropToDecide expectedType?
trace[Meta.debug]! "elabDecide: {p}"
let d ← mkDecide p
let d ← instantiateMVars d
let s := d.appArg! -- get instance from `d`
let rflPrf ← mkEqRefl (toExpr true)
pure $ mkApp3 (Lean.mkConst `ofDecideEqTrue) p s rflPrf
@[builtinTermElab panic] def elabPanic : TermElab := fun stx expectedType? => do
let arg := stx[1]
let pos ← getRefPosition
let env ← getEnv
let stxNew ← match (← getDeclName?) with
| some declName => `(panicWithPosWithDecl $(quote (toString env.mainModule)) $(quote (toString declName)) $(quote pos.line) $(quote pos.column) $arg)
| none => `(panicWithPos $(quote (toString env.mainModule)) $(quote pos.line) $(quote pos.column) $arg)
withMacroExpansion stx stxNew $ elabTerm stxNew expectedType?
@[builtinMacro Lean.Parser.Term.unreachable] def expandUnreachable : Macro := fun stx =>
`(panic! "unreachable code has been reached")
@[builtinMacro Lean.Parser.Term.assert] def expandAssert : Macro := fun stx =>
-- TODO: support for disabling runtime assertions
let cond := stx[1]
let body := stx[3]
match cond.reprint with
| some code => `(if $cond then $body else panic! ("assertion violation: " ++ $(quote code)))
| none => `(if $cond then $body else panic! ("assertion violation"))
@[builtinMacro Lean.Parser.Term.dbgTrace] def expandDbgTrace : Macro := fun stx =>
let arg := stx[1]
let body := stx[3]
if arg.getKind == interpolatedStrKind then
`(dbgTrace (s! $arg) fun _ => $body)
else
`(dbgTrace (toString $arg) fun _ => $body)
@[builtinTermElab «sorry»] def elabSorry : TermElab := fun stx expectedType? => do
logWarning "declaration uses 'sorry'"
let stxNew ← `(sorryAx _ false)
withMacroExpansion stx stxNew <| elabTerm stxNew expectedType?
@[builtinTermElab emptyC] def expandEmptyC : TermElab := fun stx expectedType? => do
let stxNew ← `(EmptyCollection.emptyCollection)
withMacroExpansion stx stxNew $ elabTerm stxNew expectedType?
/-- Return syntax `Prod.mk elems[0] (Prod.mk elems[1] ... (Prod.mk elems[elems.size - 2] elems[elems.size - 1])))` -/
partial def mkPairs (elems : Array Syntax) : MacroM Syntax :=
let rec loop (i : Nat) (acc : Syntax) := do
if i > 0 then
let i := i - 1
let elem := elems[i]
let acc ← `(Prod.mk $elem $acc)
loop i acc
else
pure acc
loop (elems.size - 1) elems.back
private partial def hasCDot : Syntax → Bool
| Syntax.node k args =>
if k == `Lean.Parser.Term.paren then false
else if k == `Lean.Parser.Term.cdot then true
else args.any hasCDot
| _ => false
/--
Auxiliary function for expandind the `·` notation.
The extra state `Array Syntax` contains the new binder names.
If `stx` is a `·`, we create a fresh identifier, store in the
extra state, and return it. Otherwise, we just return `stx`. -/
private partial def expandCDot : Syntax → StateT (Array Syntax) MacroM Syntax
| stx@(Syntax.node k args) =>
if k == `Lean.Parser.Term.paren then pure stx
else if k == `Lean.Parser.Term.cdot then withFreshMacroScope do
let id ← `(a)
modify fun s => s.push id;
pure id
else do
let args ← args.mapM expandCDot
pure $ Syntax.node k args
| stx => pure stx
/--
Return `some` if succeeded expanding `·` notation occurring in
the given syntax. Otherwise, return `none`.
Examples:
- `· + 1` => `fun _a_1 => _a_1 + 1`
- `f · · b` => `fun _a_1 _a_2 => f _a_1 _a_2 b` -/
def expandCDot? (stx : Syntax) : MacroM (Option Syntax) := do
if hasCDot stx then
let (newStx, binders) ← (expandCDot stx).run #[];
`(fun $binders* => $newStx)
else
pure none
/--
Try to expand `·` notation, and if successful elaborate result.
This method is used to elaborate the Lean parentheses notation.
Recall that in Lean the `·` notation must be surrounded by parentheses.
We may change this is the future, but right now, here are valid examples
- `(· + 1)`
- `(f ⟨·, 1⟩ ·)`
- `(· + ·)`
- `(f · a b)` -/
private def elabCDot (stx : Syntax) (expectedType? : Option Expr) : TermElabM Expr := do
match (← liftMacroM <| expandCDot? stx) with
| some stx' => withMacroExpansion stx stx' (elabTerm stx' expectedType?)
| none => elabTerm stx expectedType?
@[builtinTermElab paren] def elabParen : TermElab := fun stx expectedType? => do
match stx with
| `(()) => return Lean.mkConst `Unit.unit
| `(($e : $type)) =>
let type ← withSynthesize (mayPostpone := true) $ elabType type
let e ← elabCDot e type
ensureHasType type e
| `(($e)) => elabCDot e expectedType?
| `(($e, $es,*)) =>
let pairs ← liftMacroM <| mkPairs (#[e] ++ es)
withMacroExpansion stx pairs (elabCDot pairs expectedType?)
| _ => throwError "unexpected parentheses notation"
@[builtinTermElab subst] def elabSubst : TermElab := fun stx expectedType? => do
let expectedType ← tryPostponeIfHasMVars expectedType? "invalid `▸` notation"
match stx with
| `($heq ▸ $h) => do
let mut heq ← elabTerm heq none
let heqType ← inferType heq
let heqType ← instantiateMVars heqType
match (← Meta.matchEq? heqType) with
| none => throwError! "invalid `▸` notation, argument{indentExpr heq}\nhas type{indentExpr heqType}\nequality expected"
| some (α, lhs, rhs) =>
let mut lhs := lhs
let mut rhs := rhs
let mkMotive (typeWithLooseBVar : Expr) :=
withLocalDeclD (← mkFreshUserName `x) α fun x => do
mkLambdaFVars #[x] $ typeWithLooseBVar.instantiate1 x
let mut expectedAbst ← kabstract expectedType rhs
unless expectedAbst.hasLooseBVars do
expectedAbst ← kabstract expectedType lhs
unless expectedAbst.hasLooseBVars do
throwError! "invalid `▸` notation, expected type{indentExpr expectedType}\ndoes contain equation left-hand-side nor right-hand-side{indentExpr heqType}"
heq ← mkEqSymm heq
(lhs, rhs) := (rhs, lhs)
let hExpectedType := expectedAbst.instantiate1 lhs
let h ← withRef h do
let h ← elabTerm h hExpectedType
try
ensureHasType hExpectedType h
catch ex =>
-- if `rhs` occurs in `hType`, we try to apply `heq` to `h` too
let hType ← inferType h
let hTypeAbst ← kabstract hType rhs
unless hTypeAbst.hasLooseBVars do
throw ex
let hTypeNew := hTypeAbst.instantiate1 lhs
unless (← isDefEq hExpectedType hTypeNew) do
throw ex
mkEqNDRec (← mkMotive hTypeAbst) h (← mkEqSymm heq)
mkEqNDRec (← mkMotive expectedAbst) h heq
| _ => throwUnsupportedSyntax
@[builtinTermElab stateRefT] def elabStateRefT : TermElab := fun stx _ => do
let σ ← elabType stx[1]
let mut m := stx[2]
if m.getKind == `Lean.Parser.Term.macroDollarArg then
m := m[1]
let m ← elabTerm m (← mkArrow (mkSort levelOne) (mkSort levelOne))
let ω ← mkFreshExprMVar (mkSort levelOne)
let stWorld ← mkAppM `STWorld #[ω, m]
discard <| mkInstMVar stWorld
mkAppM `StateRefT' #[ω, σ, m]
@[builtinTermElab noindex] def elabNoindex : TermElab := fun stx expectedType? => do
let e ← elabTerm stx[1] expectedType?
return DiscrTree.mkNoindexAnnotation e
end Lean.Elab.Term
|
fbe5059c95ca8d6678b967126390253414c37ff7 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/data/int/succ_pred.lean | 7f67817ce0480b610aaf06e59a4f6f9763077955 | [
"Apache-2.0"
] | permissive | jcommelin/mathlib | d8456447c36c176e14d96d9e76f39841f69d2d9b | ee8279351a2e434c2852345c51b728d22af5a156 | refs/heads/master | 1,664,782,136,488 | 1,663,638,983,000 | 1,663,638,983,000 | 132,563,656 | 0 | 0 | Apache-2.0 | 1,663,599,929,000 | 1,525,760,539,000 | Lean | UTF-8 | Lean | false | false | 2,175 | lean | /-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import data.int.basic
import data.nat.succ_pred
/-!
# Successors and predecessors of integers
In this file, we show that `ℤ` is both an archimedean `succ_order` and an archimedean `pred_order`.
-/
open function order
namespace int
@[reducible] -- so that Lean reads `int.succ` through `succ_order.succ`
instance : succ_order ℤ :=
{ succ := succ,
..succ_order.of_succ_le_iff succ (λ a b, iff.rfl) }
@[reducible] -- so that Lean reads `int.pred` through `pred_order.pred`
instance : pred_order ℤ :=
{ pred := pred,
pred_le := λ a, (sub_one_lt_of_le le_rfl).le,
min_of_le_pred := λ a ha, ((sub_one_lt_of_le le_rfl).not_le ha).elim,
le_pred_of_lt := λ a b, le_sub_one_of_lt,
le_of_pred_lt := λ a b, le_of_sub_one_lt }
@[simp] lemma succ_eq_succ : order.succ = succ := rfl
@[simp] lemma pred_eq_pred : order.pred = pred := rfl
lemma pos_iff_one_le {a : ℤ} : 0 < a ↔ 1 ≤ a := order.succ_le_iff.symm
lemma succ_iterate (a : ℤ) : ∀ n, succ^[n] a = a + n
| 0 := (add_zero a).symm
| (n + 1) := by { rw [function.iterate_succ', int.coe_nat_succ, ←add_assoc],
exact congr_arg _ (succ_iterate n) }
lemma pred_iterate (a : ℤ) : ∀ n, pred^[n] a = a - n
| 0 := (sub_zero a).symm
| (n + 1) := by { rw [function.iterate_succ', int.coe_nat_succ, ←sub_sub],
exact congr_arg _ (pred_iterate n) }
instance : is_succ_archimedean ℤ :=
⟨λ a b h, ⟨(b - a).to_nat,
by rw [succ_eq_succ, succ_iterate, to_nat_sub_of_le h, ←add_sub_assoc, add_sub_cancel']⟩⟩
instance : is_pred_archimedean ℤ :=
⟨λ a b h, ⟨(b - a).to_nat, by rw [pred_eq_pred, pred_iterate, to_nat_sub_of_le h, sub_sub_cancel]⟩⟩
/-! ### Covering relation -/
protected lemma covby_iff_succ_eq {m n : ℤ} : m ⋖ n ↔ m + 1 = n := succ_eq_iff_covby.symm
end int
@[simp, norm_cast] lemma nat.cast_int_covby_iff {a b : ℕ} : (a : ℤ) ⋖ b ↔ a ⋖ b :=
by { rw [nat.covby_iff_succ_eq, int.covby_iff_succ_eq], exact int.coe_nat_inj' }
alias nat.cast_int_covby_iff ↔ _ covby.cast_int
|
063c89daeaba7106bbb25cca2f9f9e82c360b3cf | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/kernel1.lean | 765a3982d881141fe2537b131b4079ca0dd52725 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 803 | lean | import Lean
open Lean
def checkDefEq (a b : Name) : CoreM Unit := do
let env ← getEnv
let a := mkConst a
let b := mkConst b
let r ← ofExceptKernelException (Kernel.isDefEq env {} a b)
IO.println (toString a ++ " =?= " ++ toString b ++ " := " ++ toString r)
def a1 := 100 + 100
def a2 := 200
def a3 := 20
#eval checkDefEq `a1 `a2
#eval checkDefEq `a1 `a3
def v1 := 100000000000 + 100000000000
def v2 := 200000000000
def v3 := 200000000001
def v4 : Bool := 20000000000 > 200000000001
def v5 := 100000000000 - 100000000000
def c1 := reduceNat v1
def c2 := reduceNat v2
def c3 := reduceNat v3
def c4 := reduceBool v4
def c5 := reduceNat v5
#eval checkDefEq `c1 `c2
#eval checkDefEq `c1 `c3
#eval checkDefEq `c5 `Nat.zero
#eval checkDefEq `Nat.zero `c5
#eval checkDefEq `c4 `Bool.true
|
90e6e14d6c5e199753e020984dc810c8a80a1e1d | 367134ba5a65885e863bdc4507601606690974c1 | /src/algebra/continued_fractions/computation/correctness_terminating.lean | bb19a08b33e97e281f6f3f98b6343589a90a79a0 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 11,835 | lean | /-
Copyright (c) 2020 Kevin Kappelmann. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Kappelmann
-/
import algebra.continued_fractions.computation.translations
import algebra.continued_fractions.terminated_stable
import algebra.continued_fractions.continuants_recurrence
import order.filter.at_top_bot
/-!
# Correctness of Terminating Continued Fraction Computations (`gcf.of`)
## Summary
Let us write `gcf` for `generalized_continued_fraction`. We show the correctness of the
algorithm computing continued fractions (`gcf.of`) in case of termination in the following sense:
At every step `n : ℕ`, we can obtain the value `v` by adding a specific residual term to the last
denominator of the fraction described by `(gcf.of v).convergents' n`. The residual term will be zero
exactly when the continued fraction terminated; otherwise, the residual term will be given by the
fractional part stored in `gcf.int_fract_pair.stream v n`.
For an example, refer to `gcf.comp_exact_value_correctness_of_stream_eq_some` and for more
information about the computation process, refer to `algebra.continued_fraction.computation.basic`.
## Main definitions
- `gcf.comp_exact_value` can be used to compute the exact value approximated by the continued
fraction `gcf.of v` by adding a residual term as described in the summary.
## Main Theorems
- `gcf.comp_exact_value_correctness_of_stream_eq_some` shows that `gcf.comp_exact_value` indeed
returns the value `v` when given the convergent and fractional part as described in the summary.
- `gcf.of_correctness_of_terminated_at` shows the equality `v = (gcf.of v).convergents n`
if `gcf.of v` terminated at position `n`.
-/
namespace generalized_continued_fraction
open generalized_continued_fraction as gcf
variables {K : Type*} [linear_ordered_field K] {v : K} {n : ℕ}
/--
Given two continuants `pconts` and `conts` and a value `fr`, this function returns
- `conts.a / conts.b` if `fr = 0`
- `exact_conts.a / exact_conts.b` where `exact_conts = next_continuants 1 fr⁻¹ pconts conts`
otherwise.
This function can be used to compute the exact value approxmated by a continued fraction `gcf.of v`
as described in lemma `comp_exact_value_correctness_of_stream_eq_some`.
-/
protected def comp_exact_value (pconts conts : gcf.pair K) (fr : K) : K :=
-- if the fractional part is zero, we exactly approximated the value by the last continuants
if fr = 0 then conts.a / conts.b
-- otherwise, we have to include the fractional part in a final continuants step.
else let exact_conts := next_continuants 1 fr⁻¹ pconts conts in
exact_conts.a / exact_conts.b
variable [floor_ring K]
/-- Just a computational lemma we need for the next main proof. -/
protected lemma comp_exact_value_correctness_of_stream_eq_some_aux_comp {a : K} (b c : K)
(fract_a_ne_zero : fract a ≠ 0) :
((⌊a⌋ : K) * b + c) / (fract a) + b = (b * a + c) / fract a :=
by { field_simp [fract_a_ne_zero], rw [fract], ring }
open generalized_continued_fraction as gcf
/--
Shows the correctness of `comp_exact_value` in case the continued fraction `gcf.of v` did not
terminate at position `n`. That is, we obtain the value `v` if we pass the two successive
(auxiliary) continuants at positions `n` and `n + 1` as well as the fractional part at
`int_fract_pair.stream n` to `comp_exact_value`.
The correctness might be seen more readily if one uses `convergents'` to evaluate the continued
fraction. Here is an example to illustrate the idea:
Let `(v : ℚ) := 3.4`. We have
- `gcf.int_fract_pair.stream v 0 = some ⟨3, 0.4⟩`, and
- `gcf.int_fract_pair.stream v 1 = some ⟨2, 0.5⟩`.
Now `(gcf.of v).convergents' 1 = 3 + 1/2`, and our fractional term at position `2` is `0.5`. We
hence have `v = 3 + 1/(2 + 0.5) = 3 + 1/2.5 = 3.4`. This computation corresponds exactly to the one
using the recurrence equation in `comp_exact_value`.
-/
lemma comp_exact_value_correctness_of_stream_eq_some :
∀ {ifp_n : int_fract_pair K}, int_fract_pair.stream v n = some ifp_n →
v = gcf.comp_exact_value
((gcf.of v).continuants_aux n)
((gcf.of v).continuants_aux $ n + 1)
ifp_n.fr :=
begin
let g := gcf.of v,
induction n with n IH,
{ assume ifp_zero stream_zero_eq, -- nat.zero
have : int_fract_pair.of v = ifp_zero, by
{ have : int_fract_pair.stream v 0 = some (int_fract_pair.of v), from rfl,
simpa only [this] using stream_zero_eq },
cases this,
cases decidable.em (fract v = 0) with fract_eq_zero fract_ne_zero,
-- fract v = 0; we must then have `v = ⌊v⌋`
{ suffices : v = ⌊v⌋, by simpa [continuants_aux, fract_eq_zero, gcf.comp_exact_value],
calc
v = fract v + ⌊v⌋ : by rw fract_add_floor
... = ⌊v⌋ : by simp [fract_eq_zero] },
-- fract v ≠ 0; the claim then easily follows by unfolding a single computation step
{ field_simp [continuants_aux, next_continuants, next_numerator, next_denominator,
gcf.of_h_eq_floor, gcf.comp_exact_value, fract_ne_zero] } },
{ assume ifp_succ_n succ_nth_stream_eq, -- nat.succ
obtain ⟨ifp_n, nth_stream_eq, nth_fract_ne_zero, -⟩ :
∃ ifp_n, int_fract_pair.stream v n = some ifp_n ∧ ifp_n.fr ≠ 0
∧ int_fract_pair.of ifp_n.fr⁻¹ = ifp_succ_n, from
int_fract_pair.succ_nth_stream_eq_some_iff.elim_left succ_nth_stream_eq,
-- introduce some notation
let conts := g.continuants_aux (n + 2),
set pconts := g.continuants_aux (n + 1) with pconts_eq,
set ppconts := g.continuants_aux n with ppconts_eq,
cases decidable.em (ifp_succ_n.fr = 0) with ifp_succ_n_fr_eq_zero ifp_succ_n_fr_ne_zero,
-- ifp_succ_n.fr = 0
{ suffices : v = conts.a / conts.b, by
simpa [gcf.comp_exact_value, ifp_succ_n_fr_eq_zero],
-- use the IH and the fact that ifp_n.fr⁻¹ = ⌊ifp_n.fr⁻¹⌋ to prove this case
obtain ⟨ifp_n', nth_stream_eq', ifp_n_fract_inv_eq_floor⟩ :
∃ ifp_n, int_fract_pair.stream v n = some ifp_n ∧ ifp_n.fr⁻¹ = ⌊ifp_n.fr⁻¹⌋, from
int_fract_pair.exists_succ_nth_stream_of_fr_zero succ_nth_stream_eq ifp_succ_n_fr_eq_zero,
have : ifp_n' = ifp_n, by injection (eq.trans (nth_stream_eq').symm nth_stream_eq),
cases this,
have s_nth_eq : g.s.nth n = some ⟨1, ⌊ifp_n.fr⁻¹⌋⟩, from
gcf.nth_of_eq_some_of_nth_int_fract_pair_stream_fr_ne_zero nth_stream_eq nth_fract_ne_zero,
rw [←ifp_n_fract_inv_eq_floor] at s_nth_eq,
suffices : v = gcf.comp_exact_value ppconts pconts ifp_n.fr, by
simpa [conts, continuants_aux, s_nth_eq,gcf.comp_exact_value, nth_fract_ne_zero] using this,
exact (IH nth_stream_eq) },
-- ifp_succ_n.fr ≠ 0
{ -- use the IH to show that the following equality suffices
suffices : gcf.comp_exact_value ppconts pconts ifp_n.fr
= gcf.comp_exact_value pconts conts ifp_succ_n.fr, by
{ have : v = gcf.comp_exact_value ppconts pconts ifp_n.fr, from IH nth_stream_eq,
conv_lhs { rw this }, assumption },
-- get the correspondence between ifp_n and ifp_succ_n
obtain ⟨ifp_n', nth_stream_eq', ifp_n_fract_ne_zero, ⟨refl⟩⟩ :
∃ ifp_n, int_fract_pair.stream v n = some ifp_n ∧ ifp_n.fr ≠ 0
∧ int_fract_pair.of ifp_n.fr⁻¹ = ifp_succ_n, from
int_fract_pair.succ_nth_stream_eq_some_iff.elim_left succ_nth_stream_eq,
have : ifp_n' = ifp_n, by injection (eq.trans (nth_stream_eq').symm nth_stream_eq),
cases this,
-- get the correspondence between ifp_n and g.s.nth n
have s_nth_eq : g.s.nth n = some ⟨1, (⌊ifp_n.fr⁻¹⌋ : K)⟩,
from gcf.nth_of_eq_some_of_nth_int_fract_pair_stream_fr_ne_zero nth_stream_eq
ifp_n_fract_ne_zero,
-- the claim now follows by unfolding the definitions and tedious calculations
-- some shorthand notation
let ppA := ppconts.a, let ppB := ppconts.b,
let pA := pconts.a, let pB := pconts.b,
have : gcf.comp_exact_value ppconts pconts ifp_n.fr
= (ppA + ifp_n.fr⁻¹ * pA) / (ppB + ifp_n.fr⁻¹ * pB), by
-- unfold comp_exact_value and the convergent computation once
{ field_simp [ifp_n_fract_ne_zero, gcf.comp_exact_value, next_continuants, next_numerator,
next_denominator], ac_refl },
rw this,
-- two calculations needed to show the claim
have tmp_calc := gcf.comp_exact_value_correctness_of_stream_eq_some_aux_comp
pA ppA ifp_succ_n_fr_ne_zero,
have tmp_calc' := gcf.comp_exact_value_correctness_of_stream_eq_some_aux_comp
pB ppB ifp_succ_n_fr_ne_zero,
rw inv_eq_one_div at tmp_calc tmp_calc',
have : fract (1 / ifp_n.fr) ≠ 0, by simpa using ifp_succ_n_fr_ne_zero,
-- now unfold the recurrence one step and simplify both sides to arrive at the conclusion
field_simp [conts, gcf.comp_exact_value,
(gcf.continuants_aux_recurrence s_nth_eq ppconts_eq pconts_eq), next_continuants,
next_numerator, next_denominator, this, tmp_calc, tmp_calc'],
ac_refl } }
end
/-- The convergent of `gcf.of v` at step `n - 1` is exactly `v` if the `int_fract_pair.stream` of
the corresponding continued fraction terminated at step `n`. -/
lemma of_correctness_of_nth_stream_eq_none
(nth_stream_eq_none : int_fract_pair.stream v n = none) :
v = (gcf.of v).convergents (n - 1) :=
begin
induction n with n IH,
case nat.zero { contradiction }, -- int_fract_pair.stream v 0 ≠ none
case nat.succ
{ rename nth_stream_eq_none succ_nth_stream_eq_none,
let g := gcf.of v,
change v = g.convergents n,
have : int_fract_pair.stream v n = none
∨ ∃ ifp, int_fract_pair.stream v n = some ifp ∧ ifp.fr = 0, from
int_fract_pair.succ_nth_stream_eq_none_iff.elim_left succ_nth_stream_eq_none,
rcases this with ⟨nth_stream_eq_none⟩ | ⟨ifp_n, nth_stream_eq, nth_stream_fr_eq_zero⟩,
{ cases n with n',
{ contradiction }, -- int_fract_pair.stream v 0 ≠ none
{ have : g.terminated_at n', from
gcf.of_terminated_at_n_iff_succ_nth_int_fract_pair_stream_eq_none.elim_right
nth_stream_eq_none,
have : g.convergents (n' + 1) = g.convergents n', from
gcf.convergents_stable_of_terminated n'.le_succ this,
rw this,
exact (IH nth_stream_eq_none) } },
{ simpa [nth_stream_fr_eq_zero, gcf.comp_exact_value] using
(comp_exact_value_correctness_of_stream_eq_some nth_stream_eq) } }
end
/-- If `gcf.of v` terminated at step `n`, then the `n`th convergent is exactly `v`. -/
theorem of_correctness_of_terminated_at (terminated_at_n : (gcf.of v).terminated_at n) :
v = (gcf.of v).convergents n :=
have int_fract_pair.stream v (n + 1) = none, from
gcf.of_terminated_at_n_iff_succ_nth_int_fract_pair_stream_eq_none.elim_left terminated_at_n,
of_correctness_of_nth_stream_eq_none this
/-- If `gcf.of v` terminates, then there is `n : ℕ` such that the `n`th convergent is exactly
`v`. -/
lemma of_correctness_of_terminates (terminates : (gcf.of v).terminates) :
∃ (n : ℕ), v = (gcf.of v).convergents n :=
exists.elim terminates
( assume n terminated_at_n,
exists.intro n (of_correctness_of_terminated_at terminated_at_n) )
open filter
/-- If `gcf.of v` terminates, then its convergents will eventually always be `v`. -/
lemma of_correctness_at_top_of_terminates (terminates : (gcf.of v).terminates) :
∀ᶠ n in at_top, v = (gcf.of v).convergents n :=
begin
rw eventually_at_top,
obtain ⟨n, terminated_at_n⟩ : ∃ n, (gcf.of v).terminated_at n, from terminates,
use n,
assume m m_geq_n,
rw (gcf.convergents_stable_of_terminated m_geq_n terminated_at_n),
exact of_correctness_of_terminated_at terminated_at_n
end
end generalized_continued_fraction
|
d33ff481c1382cb706ccd8bbfbddd55d5a55b023 | 94e33a31faa76775069b071adea97e86e218a8ee | /src/ring_theory/norm.lean | 0d94b6619a7e92778baa5b396c3d8dd455455238 | [
"Apache-2.0"
] | permissive | urkud/mathlib | eab80095e1b9f1513bfb7f25b4fa82fa4fd02989 | 6379d39e6b5b279df9715f8011369a301b634e41 | refs/heads/master | 1,658,425,342,662 | 1,658,078,703,000 | 1,658,078,703,000 | 186,910,338 | 0 | 0 | Apache-2.0 | 1,568,512,083,000 | 1,557,958,709,000 | Lean | UTF-8 | Lean | false | false | 13,065 | lean | /-
Copyright (c) 2021 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import field_theory.primitive_element
import linear_algebra.determinant
import linear_algebra.finite_dimensional
import linear_algebra.matrix.charpoly.minpoly
import linear_algebra.matrix.to_linear_equiv
import field_theory.is_alg_closed.algebraic_closure
import field_theory.galois
/-!
# Norm for (finite) ring extensions
Suppose we have an `R`-algebra `S` with a finite basis. For each `s : S`,
the determinant of the linear map given by multiplying by `s` gives information
about the roots of the minimal polynomial of `s` over `R`.
## Implementation notes
Typically, the norm is defined specifically for finite field extensions.
The current definition is as general as possible and the assumption that we have
fields or that the extension is finite is added to the lemmas as needed.
We only define the norm for left multiplication (`algebra.left_mul_matrix`,
i.e. `algebra.lmul_left`).
For now, the definitions assume `S` is commutative, so the choice doesn't
matter anyway.
See also `algebra.trace`, which is defined similarly as the trace of
`algebra.left_mul_matrix`.
## References
* https://en.wikipedia.org/wiki/Field_norm
-/
universes u v w
variables {R S T : Type*} [comm_ring R] [comm_ring S]
variables [algebra R S]
variables {K L F : Type*} [field K] [field L] [field F]
variables [algebra K L] [algebra K F]
variables {ι : Type w} [fintype ι]
open finite_dimensional
open linear_map
open matrix polynomial
open_locale big_operators
open_locale matrix
namespace algebra
variables (R)
/-- The norm of an element `s` of an `R`-algebra is the determinant of `(*) s`. -/
noncomputable def norm : S →* R :=
linear_map.det.comp (lmul R S).to_ring_hom.to_monoid_hom
lemma norm_apply (x : S) : norm R x = linear_map.det (lmul R S x) := rfl
lemma norm_eq_one_of_not_exists_basis
(h : ¬ ∃ (s : finset S), nonempty (basis s R S)) (x : S) : norm R x = 1 :=
by { rw [norm_apply, linear_map.det], split_ifs with h, refl }
variables {R}
-- Can't be a `simp` lemma because it depends on a choice of basis
lemma norm_eq_matrix_det [decidable_eq ι] (b : basis ι R S) (s : S) :
norm R s = matrix.det (algebra.left_mul_matrix b s) :=
by rw [norm_apply, ← linear_map.det_to_matrix b, to_matrix_lmul_eq]
/-- If `x` is in the base field `K`, then the norm is `x ^ [L : K]`. -/
lemma norm_algebra_map_of_basis (b : basis ι R S) (x : R) :
norm R (algebra_map R S x) = x ^ fintype.card ι :=
begin
haveI := classical.dec_eq ι,
rw [norm_apply, ← det_to_matrix b, lmul_algebra_map],
convert @det_diagonal _ _ _ _ _ (λ (i : ι), x),
{ ext i j, rw [to_matrix_lsmul, matrix.diagonal] },
{ rw [finset.prod_const, finset.card_univ] }
end
/-- If `x` is in the base field `K`, then the norm is `x ^ [L : K]`.
(If `L` is not finite-dimensional over `K`, then `norm = 1 = x ^ 0 = x ^ (finrank L K)`.)
-/
@[simp]
protected lemma norm_algebra_map {K L : Type*} [field K] [comm_ring L] [algebra K L] (x : K) :
norm K (algebra_map K L x) = x ^ finrank K L :=
begin
by_cases H : ∃ (s : finset L), nonempty (basis s K L),
{ rw [norm_algebra_map_of_basis H.some_spec.some, finrank_eq_card_basis H.some_spec.some] },
{ rw [norm_eq_one_of_not_exists_basis K H, finrank_eq_zero_of_not_exists_basis, pow_zero],
rintros ⟨s, ⟨b⟩⟩,
exact H ⟨s, ⟨b⟩⟩ },
end
section eq_prod_roots
/-- Given `pb : power_basis K S`, then the norm of `pb.gen` is
`(-1) ^ pb.dim * coeff (minpoly K pb.gen) 0`. -/
lemma power_basis.norm_gen_eq_coeff_zero_minpoly [algebra K S] (pb : power_basis K S) :
norm K pb.gen = (-1) ^ pb.dim * coeff (minpoly K pb.gen) 0 :=
begin
rw [norm_eq_matrix_det pb.basis, det_eq_sign_charpoly_coeff, charpoly_left_mul_matrix,
fintype.card_fin]
end
/-- Given `pb : power_basis K S`, then the norm of `pb.gen` is
`((minpoly K pb.gen).map (algebra_map K F)).roots.prod`. -/
lemma power_basis.norm_gen_eq_prod_roots [algebra K S] (pb : power_basis K S)
(hf : (minpoly K pb.gen).splits (algebra_map K F)) :
algebra_map K F (norm K pb.gen) =
((minpoly K pb.gen).map (algebra_map K F)).roots.prod :=
begin
rw [power_basis.norm_gen_eq_coeff_zero_minpoly, ← pb.nat_degree_minpoly, ring_hom.map_mul,
← coeff_map, prod_roots_eq_coeff_zero_of_monic_of_split
((minpoly.monic (power_basis.is_integral_gen _)).map _)
((splits_id_iff_splits _).2 hf), nat_degree_map, map_pow, ← mul_assoc, ← mul_pow],
simp
end
end eq_prod_roots
section eq_zero_iff
lemma norm_eq_zero_iff_of_basis [is_domain R] [is_domain S] (b : basis ι R S) {x : S} :
algebra.norm R x = 0 ↔ x = 0 :=
begin
have hι : nonempty ι := b.index_nonempty,
letI := classical.dec_eq ι,
rw algebra.norm_eq_matrix_det b,
split,
{ rw ← matrix.exists_mul_vec_eq_zero_iff,
rintros ⟨v, v_ne, hv⟩,
rw [← b.equiv_fun.apply_symm_apply v, b.equiv_fun_symm_apply, b.equiv_fun_apply,
algebra.left_mul_matrix_mul_vec_repr] at hv,
refine (mul_eq_zero.mp (b.ext_elem $ λ i, _)).resolve_right (show ∑ i, v i • b i ≠ 0, from _),
{ simpa only [linear_equiv.map_zero, pi.zero_apply] using congr_fun hv i },
{ contrapose! v_ne with sum_eq,
apply b.equiv_fun.symm.injective,
rw [b.equiv_fun_symm_apply, sum_eq, linear_equiv.map_zero] } },
{ rintro rfl,
rw [alg_hom.map_zero, matrix.det_zero hι] },
end
lemma norm_ne_zero_iff_of_basis [is_domain R] [is_domain S] (b : basis ι R S) {x : S} :
algebra.norm R x ≠ 0 ↔ x ≠ 0 :=
not_iff_not.mpr (algebra.norm_eq_zero_iff_of_basis b)
/-- See also `algebra.norm_eq_zero_iff'` if you already have rewritten with `algebra.norm_apply`. -/
@[simp]
lemma norm_eq_zero_iff {K L : Type*} [field K] [comm_ring L] [algebra K L] [is_domain L]
[finite_dimensional K L] {x : L} : algebra.norm K x = 0 ↔ x = 0 :=
algebra.norm_eq_zero_iff_of_basis (basis.of_vector_space K L)
/-- This is `algebra.norm_eq_zero_iff` composed with `algebra.norm_apply`. -/
@[simp]
lemma norm_eq_zero_iff' {K L : Type*} [field K] [comm_ring L] [algebra K L] [is_domain L]
[finite_dimensional K L] {x : L} : linear_map.det (algebra.lmul K L x) = 0 ↔ x = 0 :=
algebra.norm_eq_zero_iff_of_basis (basis.of_vector_space K L)
end eq_zero_iff
open intermediate_field
variable (K)
lemma norm_eq_norm_adjoin [finite_dimensional K L] [is_separable K L] (x : L) :
norm K x = norm K (adjoin_simple.gen K x) ^ finrank K⟮x⟯ L :=
begin
letI := is_separable_tower_top_of_is_separable K K⟮x⟯ L,
let pbL := field.power_basis_of_finite_of_separable K⟮x⟯ L,
let pbx := intermediate_field.adjoin.power_basis (is_separable.is_integral K x),
rw [← adjoin_simple.algebra_map_gen K x, norm_eq_matrix_det (pbx.basis.smul pbL.basis) _,
smul_left_mul_matrix_algebra_map, det_block_diagonal, norm_eq_matrix_det pbx.basis],
simp only [finset.card_fin, finset.prod_const],
congr,
rw [← power_basis.finrank, adjoin_simple.algebra_map_gen K x]
end
variable {K}
section intermediate_field
lemma _root_.intermediate_field.adjoin_simple.norm_gen_eq_one {x : L}
(hx : ¬_root_.is_integral K x) : norm K (adjoin_simple.gen K x) = 1 :=
begin
rw [norm_eq_one_of_not_exists_basis],
contrapose! hx,
obtain ⟨s, ⟨b⟩⟩ := hx,
refine is_integral_of_mem_of_fg (K⟮x⟯).to_subalgebra _ x _,
{ exact (submodule.fg_iff_finite_dimensional _).mpr (of_finset_basis b) },
{ exact intermediate_field.subset_adjoin K _ (set.mem_singleton x) }
end
lemma _root_.intermediate_field.adjoin_simple.norm_gen_eq_prod_roots (x : L)
(hf : (minpoly K x).splits (algebra_map K F)) :
(algebra_map K F) (norm K (adjoin_simple.gen K x)) =
((minpoly K x).map (algebra_map K F)).roots.prod :=
begin
have injKxL := (algebra_map K⟮x⟯ L).injective,
by_cases hx : _root_.is_integral K x, swap,
{ simp [minpoly.eq_zero hx, intermediate_field.adjoin_simple.norm_gen_eq_one hx] },
have hx' : _root_.is_integral K (adjoin_simple.gen K x),
{ rwa [← is_integral_algebra_map_iff injKxL, adjoin_simple.algebra_map_gen],
apply_instance },
rw [← adjoin.power_basis_gen hx, power_basis.norm_gen_eq_prod_roots];
rw [adjoin.power_basis_gen hx, minpoly.eq_of_algebra_map_eq injKxL hx'];
try { simp only [adjoin_simple.algebra_map_gen _ _] },
exact hf
end
end intermediate_field
section eq_prod_embeddings
open intermediate_field intermediate_field.adjoin_simple polynomial
lemma norm_eq_prod_embeddings_gen {K L : Type*} [field K] [comm_ring L] [algebra K L]
(E : Type*) [field E] [algebra K E]
(pb : power_basis K L)
(hE : (minpoly K pb.gen).splits (algebra_map K E)) (hfx : (minpoly K pb.gen).separable) :
algebra_map K E (norm K pb.gen) =
(@@finset.univ (power_basis.alg_hom.fintype pb)).prod (λ σ, σ pb.gen) :=
begin
letI := classical.dec_eq E,
rw [power_basis.norm_gen_eq_prod_roots pb hE, fintype.prod_equiv pb.lift_equiv',
finset.prod_mem_multiset, finset.prod_eq_multiset_prod, multiset.to_finset_val,
multiset.dedup_eq_self.mpr, multiset.map_id],
{ exact nodup_roots ((separable_map _).mpr hfx) },
{ intro x, refl },
{ intro σ, rw [power_basis.lift_equiv'_apply_coe, id.def] }
end
lemma norm_eq_prod_roots [is_separable K L] [finite_dimensional K L]
{x : L} (hF : (minpoly K x).splits (algebra_map K F)) :
algebra_map K F (norm K x) = ((minpoly K x).map (algebra_map K F)).roots.prod ^ finrank K⟮x⟯ L :=
by rw [norm_eq_norm_adjoin K x, map_pow,
intermediate_field.adjoin_simple.norm_gen_eq_prod_roots _ hF]
variables (F) (E : Type*) [field E] [algebra K E]
lemma prod_embeddings_eq_finrank_pow [algebra L F] [is_scalar_tower K L F] [is_alg_closed E]
[is_separable K F] [finite_dimensional K F] (pb : power_basis K L) :
∏ σ : F →ₐ[K] E, σ (algebra_map L F pb.gen) =
((@@finset.univ (power_basis.alg_hom.fintype pb)).prod
(λ σ : L →ₐ[K] E, σ pb.gen)) ^ finrank L F :=
begin
haveI : finite_dimensional L F := finite_dimensional.right K L F,
haveI : is_separable L F := is_separable_tower_top_of_is_separable K L F,
letI : fintype (L →ₐ[K] E) := power_basis.alg_hom.fintype pb,
letI : ∀ (f : L →ₐ[K] E), fintype (@@alg_hom L F E _ _ _ _ f.to_ring_hom.to_algebra) := _,
rw [fintype.prod_equiv alg_hom_equiv_sigma (λ (σ : F →ₐ[K] E), _) (λ σ, σ.1 pb.gen),
← finset.univ_sigma_univ, finset.prod_sigma, ← finset.prod_pow],
refine finset.prod_congr rfl (λ σ _, _),
{ letI : algebra L E := σ.to_ring_hom.to_algebra,
simp only [finset.prod_const, finset.card_univ],
congr,
rw alg_hom.card L F E },
{ intros σ,
simp only [alg_hom_equiv_sigma, equiv.coe_fn_mk, alg_hom.restrict_domain, alg_hom.comp_apply,
is_scalar_tower.coe_to_alg_hom'] }
end
variable (K)
/-- For `L/K` a finite separable extension of fields and `E` an algebraically closed extension
of `K`, the norm (down to `K`) of an element `x` of `L` is equal to the product of the images
of `x` over all the `K`-embeddings `σ` of `L` into `E`. -/
lemma norm_eq_prod_embeddings [finite_dimensional K L] [is_separable K L] [is_alg_closed E]
{x : L} : algebra_map K E (norm K x) = ∏ σ : L →ₐ[K] E, σ x :=
begin
have hx := is_separable.is_integral K x,
rw [norm_eq_norm_adjoin K x, ring_hom.map_pow, ← adjoin.power_basis_gen hx,
norm_eq_prod_embeddings_gen E (adjoin.power_basis hx) (is_alg_closed.splits_codomain _)],
{ exact (prod_embeddings_eq_finrank_pow L E (adjoin.power_basis hx)).symm },
{ haveI := is_separable_tower_bot_of_is_separable K K⟮x⟯ L,
exact is_separable.separable K _ }
end
lemma norm_eq_prod_automorphisms [finite_dimensional K L] [is_galois K L] {x : L}:
algebra_map K L (norm K x) = ∏ (σ : L ≃ₐ[K] L), σ x :=
begin
apply no_zero_smul_divisors.algebra_map_injective L (algebraic_closure L),
rw map_prod (algebra_map L (algebraic_closure L)),
rw ← fintype.prod_equiv (normal.alg_hom_equiv_aut K (algebraic_closure L) L),
{ rw ← norm_eq_prod_embeddings,
simp only [algebra_map_eq_smul_one, smul_one_smul] },
{ intro σ,
simp only [normal.alg_hom_equiv_aut, alg_hom.restrict_normal', equiv.coe_fn_mk,
alg_equiv.coe_of_bijective, alg_hom.restrict_normal_commutes, id.map_eq_id,
ring_hom.id_apply] },
end
lemma is_integral_norm [algebra S L] [algebra S K] [is_scalar_tower S K L]
[is_separable K L] [finite_dimensional K L] {x : L} (hx : _root_.is_integral S x) :
_root_.is_integral S (norm K x) :=
begin
have hx' : _root_.is_integral K x := is_integral_of_is_scalar_tower _ hx,
rw [← is_integral_algebra_map_iff (algebra_map K (algebraic_closure L)).injective,
norm_eq_prod_roots],
{ refine (is_integral.multiset_prod (λ y hy, _)).pow _,
rw mem_roots_map (minpoly.ne_zero hx') at hy,
use [minpoly S x, minpoly.monic hx],
rw ← aeval_def at ⊢ hy,
exact minpoly.aeval_of_is_scalar_tower S x y hy },
{ apply is_alg_closed.splits_codomain },
{ apply_instance }
end
end eq_prod_embeddings
end algebra
|
fc70dd4ad30e1c94d42565a02eb3d2bfe4f9b1cf | bb31430994044506fa42fd667e2d556327e18dfe | /src/number_theory/fermat4.lean | 38e16e2234eec71560538716ef329d4e1ddf2ff9 | [
"Apache-2.0"
] | permissive | sgouezel/mathlib | 0cb4e5335a2ba189fa7af96d83a377f83270e503 | 00638177efd1b2534fc5269363ebf42a7871df9a | refs/heads/master | 1,674,527,483,042 | 1,673,665,568,000 | 1,673,665,568,000 | 119,598,202 | 0 | 0 | null | 1,517,348,647,000 | 1,517,348,646,000 | null | UTF-8 | Lean | false | false | 11,772 | lean | /-
Copyright (c) 2020 Paul van Wamelen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Paul van Wamelen
-/
import number_theory.pythagorean_triples
import ring_theory.coprime.lemmas
import tactic.linear_combination
/-!
# Fermat's Last Theorem for the case n = 4
There are no non-zero integers `a`, `b` and `c` such that `a ^ 4 + b ^ 4 = c ^ 4`.
-/
noncomputable theory
open_locale classical
/-- Shorthand for three non-zero integers `a`, `b`, and `c` satisfying `a ^ 4 + b ^ 4 = c ^ 2`.
We will show that no integers satisfy this equation. Clearly Fermat's Last theorem for n = 4
follows. -/
def fermat_42 (a b c : ℤ) : Prop := a ≠ 0 ∧ b ≠ 0 ∧ a ^ 4 + b ^ 4 = c ^ 2
namespace fermat_42
lemma comm {a b c : ℤ} :
(fermat_42 a b c) ↔ (fermat_42 b a c) :=
by { delta fermat_42, rw add_comm, tauto }
lemma mul {a b c k : ℤ} (hk0 : k ≠ 0) :
fermat_42 a b c ↔ fermat_42 (k * a) (k * b) (k ^ 2 * c) :=
begin
delta fermat_42,
split,
{ intro f42,
split, { exact mul_ne_zero hk0 f42.1 },
split, { exact mul_ne_zero hk0 f42.2.1 },
{ have H : a ^ 4 + b ^ 4 = c ^ 2 := f42.2.2,
linear_combination k ^ 4 * H } },
{ intro f42,
split, { exact right_ne_zero_of_mul f42.1 },
split, { exact right_ne_zero_of_mul f42.2.1 },
apply (mul_right_inj' (pow_ne_zero 4 hk0)).mp,
linear_combination f42.2.2 }
end
lemma ne_zero {a b c : ℤ} (h : fermat_42 a b c) : c ≠ 0 :=
begin
apply ne_zero_pow two_ne_zero _, apply ne_of_gt,
rw [← h.2.2, (by ring : a ^ 4 + b ^ 4 = (a ^ 2) ^ 2 + (b ^ 2) ^ 2)],
exact add_pos (sq_pos_of_ne_zero _ (pow_ne_zero 2 h.1))
(sq_pos_of_ne_zero _ (pow_ne_zero 2 h.2.1))
end
/-- We say a solution to `a ^ 4 + b ^ 4 = c ^ 2` is minimal if there is no other solution with
a smaller `c` (in absolute value). -/
def minimal (a b c : ℤ) : Prop :=
(fermat_42 a b c) ∧ ∀ (a1 b1 c1 : ℤ), (fermat_42 a1 b1 c1) → int.nat_abs c ≤ int.nat_abs c1
/-- if we have a solution to `a ^ 4 + b ^ 4 = c ^ 2` then there must be a minimal one. -/
lemma exists_minimal {a b c : ℤ} (h : fermat_42 a b c) :
∃ (a0 b0 c0), (minimal a0 b0 c0) :=
begin
let S : set ℕ := { n | ∃ (s : ℤ × ℤ × ℤ), fermat_42 s.1 s.2.1 s.2.2 ∧ n = int.nat_abs s.2.2},
have S_nonempty : S.nonempty,
{ use int.nat_abs c,
rw set.mem_set_of_eq,
use ⟨a, ⟨b, c⟩⟩, tauto },
let m : ℕ := nat.find S_nonempty,
have m_mem : m ∈ S := nat.find_spec S_nonempty,
rcases m_mem with ⟨s0, hs0, hs1⟩,
use [s0.1, s0.2.1, s0.2.2, hs0],
intros a1 b1 c1 h1,
rw ← hs1,
apply nat.find_min',
use ⟨a1, ⟨b1, c1⟩⟩, tauto
end
/-- a minimal solution to `a ^ 4 + b ^ 4 = c ^ 2` must have `a` and `b` coprime. -/
lemma coprime_of_minimal {a b c : ℤ} (h : minimal a b c) : is_coprime a b :=
begin
apply int.gcd_eq_one_iff_coprime.mp,
by_contradiction hab,
obtain ⟨p, hp, hpa, hpb⟩ := nat.prime.not_coprime_iff_dvd.mp hab,
obtain ⟨a1, rfl⟩ := (int.coe_nat_dvd_left.mpr hpa),
obtain ⟨b1, rfl⟩ := (int.coe_nat_dvd_left.mpr hpb),
have hpc : (p : ℤ) ^ 2 ∣ c,
{ rw [←int.pow_dvd_pow_iff zero_lt_two, ←h.1.2.2],
apply dvd.intro (a1 ^ 4 + b1 ^ 4), ring },
obtain ⟨c1, rfl⟩ := hpc,
have hf : fermat_42 a1 b1 c1,
exact (fermat_42.mul (int.coe_nat_ne_zero.mpr (nat.prime.ne_zero hp))).mpr h.1,
apply nat.le_lt_antisymm (h.2 _ _ _ hf),
rw [int.nat_abs_mul, lt_mul_iff_one_lt_left, int.nat_abs_pow, int.nat_abs_of_nat],
{ exact nat.one_lt_pow _ _ zero_lt_two (nat.prime.one_lt hp) },
{ exact (nat.pos_of_ne_zero (int.nat_abs_ne_zero_of_ne_zero (ne_zero hf))) },
end
/-- We can swap `a` and `b` in a minimal solution to `a ^ 4 + b ^ 4 = c ^ 2`. -/
lemma minimal_comm {a b c : ℤ} : (minimal a b c) → (minimal b a c) :=
λ ⟨h1, h2⟩, ⟨fermat_42.comm.mp h1, h2⟩
/-- We can assume that a minimal solution to `a ^ 4 + b ^ 4 = c ^ 2` has positive `c`. -/
lemma neg_of_minimal {a b c : ℤ} :
(minimal a b c) → (minimal a b (-c)) :=
begin
rintros ⟨⟨ha, hb, heq⟩, h2⟩,
split,
{ apply and.intro ha (and.intro hb _),
rw heq, exact (neg_sq c).symm },
rwa (int.nat_abs_neg c),
end
/-- We can assume that a minimal solution to `a ^ 4 + b ^ 4 = c ^ 2` has `a` odd. -/
lemma exists_odd_minimal {a b c : ℤ} (h : fermat_42 a b c) :
∃ (a0 b0 c0), (minimal a0 b0 c0) ∧ a0 % 2 = 1 :=
begin
obtain ⟨a0, b0, c0, hf⟩ := exists_minimal h,
cases int.mod_two_eq_zero_or_one a0 with hap hap,
{ cases int.mod_two_eq_zero_or_one b0 with hbp hbp,
{ exfalso,
have h1 : 2 ∣ (int.gcd a0 b0 : ℤ),
{ exact int.dvd_gcd (int.dvd_of_mod_eq_zero hap) (int.dvd_of_mod_eq_zero hbp) },
rw int.gcd_eq_one_iff_coprime.mpr (coprime_of_minimal hf) at h1, revert h1, norm_num },
{ exact ⟨b0, ⟨a0, ⟨c0, minimal_comm hf, hbp⟩⟩⟩ } },
exact ⟨a0, ⟨b0, ⟨c0 , hf, hap⟩⟩⟩,
end
/-- We can assume that a minimal solution to `a ^ 4 + b ^ 4 = c ^ 2` has
`a` odd and `c` positive. -/
lemma exists_pos_odd_minimal {a b c : ℤ} (h : fermat_42 a b c) :
∃ (a0 b0 c0), (minimal a0 b0 c0) ∧ a0 % 2 = 1 ∧ 0 < c0 :=
begin
obtain ⟨a0, b0, c0, hf, hc⟩ := exists_odd_minimal h,
rcases lt_trichotomy 0 c0 with (h1 | rfl | h1),
{ use [a0, b0, c0], tauto },
{ exfalso, exact ne_zero hf.1 rfl},
{ use [a0, b0, -c0, neg_of_minimal hf, hc],
exact neg_pos.mpr h1 },
end
end fermat_42
lemma int.coprime_of_sq_sum {r s : ℤ} (h2 : is_coprime s r) :
is_coprime (r ^ 2 + s ^ 2) r :=
begin
rw [sq, sq],
exact (is_coprime.mul_left h2 h2).mul_add_left_left r
end
lemma int.coprime_of_sq_sum' {r s : ℤ} (h : is_coprime r s) :
is_coprime (r ^ 2 + s ^ 2) (r * s) :=
begin
apply is_coprime.mul_right (int.coprime_of_sq_sum (is_coprime_comm.mp h)),
rw add_comm, apply int.coprime_of_sq_sum h
end
namespace fermat_42
-- If we have a solution to a ^ 4 + b ^ 4 = c ^ 2, we can construct a smaller one. This
-- implies there can't be a smallest solution.
lemma not_minimal {a b c : ℤ}
(h : minimal a b c) (ha2 : a % 2 = 1) (hc : 0 < c) : false :=
begin
-- Use the fact that a ^ 2, b ^ 2, c form a pythagorean triple to obtain m and n such that
-- a ^ 2 = m ^ 2 - n ^ 2, b ^ 2 = 2 * m * n and c = m ^ 2 + n ^ 2
-- first the formula:
have ht : pythagorean_triple (a ^ 2) (b ^ 2) c,
{ delta pythagorean_triple,
linear_combination h.1.2.2 },
-- coprime requirement:
have h2 : int.gcd (a ^ 2) (b ^ 2) = 1 :=
int.gcd_eq_one_iff_coprime.mpr (coprime_of_minimal h).pow,
-- in order to reduce the possibilities we get from the classification of pythagorean triples
-- it helps if we know the parity of a ^ 2 (and the sign of c):
have ha22 : a ^ 2 % 2 = 1, { rw [sq, int.mul_mod, ha2], norm_num },
obtain ⟨m, n, ht1, ht2, ht3, ht4, ht5, ht6⟩ := ht.coprime_classification' h2 ha22 hc,
-- Now a, n, m form a pythagorean triple and so we can obtain r and s such that
-- a = r ^ 2 - s ^ 2, n = 2 * r * s and m = r ^ 2 + s ^ 2
-- formula:
have htt : pythagorean_triple a n m,
{ delta pythagorean_triple,
linear_combination (ht1) },
-- a and n are coprime, because a ^ 2 = m ^ 2 - n ^ 2 and m and n are coprime.
have h3 : int.gcd a n = 1,
{ apply int.gcd_eq_one_iff_coprime.mpr,
apply @is_coprime.of_mul_left_left _ _ _ a,
rw [← sq, ht1, (by ring : m ^ 2 - n ^ 2 = m ^ 2 + (-n) * n)],
exact (int.gcd_eq_one_iff_coprime.mp ht4).pow_left.add_mul_right_left (-n) },
-- m is positive because b is non-zero and b ^ 2 = 2 * m * n and we already have 0 ≤ m.
have hb20 : b ^ 2 ≠ 0 := mt pow_eq_zero h.1.2.1,
have h4 : 0 < m,
{ apply lt_of_le_of_ne ht6,
rintro rfl,
revert hb20,
rw ht2, simp },
obtain ⟨r, s, htt1, htt2, htt3, htt4, htt5, htt6⟩ := htt.coprime_classification' h3 ha2 h4,
-- Now use the fact that (b / 2) ^ 2 = m * r * s, and m, r and s are pairwise coprime to obtain
-- i, j and k such that m = i ^ 2, r = j ^ 2 and s = k ^ 2.
-- m and r * s are coprime because m = r ^ 2 + s ^ 2 and r and s are coprime.
have hcp : int.gcd m (r * s) = 1,
{ rw htt3,
exact int.gcd_eq_one_iff_coprime.mpr (int.coprime_of_sq_sum'
(int.gcd_eq_one_iff_coprime.mp htt4)) },
-- b is even because b ^ 2 = 2 * m * n.
have hb2 : 2 ∣ b,
{ apply @int.prime.dvd_pow' _ 2 _ nat.prime_two,
rw [ht2, mul_assoc], exact dvd_mul_right 2 (m * n) },
cases hb2 with b' hb2',
have hs : b' ^ 2 = m * (r * s),
{ apply (mul_right_inj' (by norm_num : (4 : ℤ) ≠ 0)).mp,
linear_combination (- b - 2 * b') * hb2' + ht2 + 2 * m * htt2 },
have hrsz : r * s ≠ 0, -- because b ^ 2 is not zero and (b / 2) ^ 2 = m * (r * s)
{ by_contradiction hrsz,
revert hb20, rw [ht2, htt2, mul_assoc, @mul_assoc _ _ _ r s, hrsz],
simp },
have h2b0 : b' ≠ 0,
{ apply ne_zero_pow two_ne_zero,
rw hs, apply mul_ne_zero, { exact ne_of_gt h4}, { exact hrsz } },
obtain ⟨i, hi⟩ := int.sq_of_gcd_eq_one hcp hs.symm,
-- use m is positive to exclude m = - i ^ 2
have hi' : ¬ m = - i ^ 2,
{ by_contradiction h1,
have hit : - i ^ 2 ≤ 0, apply neg_nonpos.mpr (sq_nonneg i),
rw ← h1 at hit,
apply absurd h4 (not_lt.mpr hit) },
replace hi : m = i ^ 2, { apply or.resolve_right hi hi' },
rw mul_comm at hs,
rw [int.gcd_comm] at hcp,
-- obtain d such that r * s = d ^ 2
obtain ⟨d, hd⟩ := int.sq_of_gcd_eq_one hcp hs.symm,
-- (b / 2) ^ 2 and m are positive so r * s is positive
have hd' : ¬ r * s = - d ^ 2,
{ by_contradiction h1,
rw h1 at hs,
have h2 : b' ^ 2 ≤ 0,
{ rw [hs, (by ring : - d ^ 2 * m = - (d ^ 2 * m))],
exact neg_nonpos.mpr ((zero_le_mul_right h4).mpr (sq_nonneg d)) },
have h2' : 0 ≤ b' ^ 2, { apply sq_nonneg b' },
exact absurd (lt_of_le_of_ne h2' (ne.symm (pow_ne_zero _ h2b0))) (not_lt.mpr h2) },
replace hd : r * s = d ^ 2, { apply or.resolve_right hd hd' },
-- r = +/- j ^ 2
obtain ⟨j, hj⟩ := int.sq_of_gcd_eq_one htt4 hd,
have hj0 : j ≠ 0,
{ intro h0, rw [h0, zero_pow zero_lt_two, neg_zero, or_self] at hj,
apply left_ne_zero_of_mul hrsz hj },
rw mul_comm at hd,
rw [int.gcd_comm] at htt4,
-- s = +/- k ^ 2
obtain ⟨k, hk⟩ := int.sq_of_gcd_eq_one htt4 hd,
have hk0 : k ≠ 0,
{ intro h0, rw [h0, zero_pow zero_lt_two, neg_zero, or_self] at hk,
apply right_ne_zero_of_mul hrsz hk },
have hj2 : r ^ 2 = j ^ 4, { cases hj with hjp hjp; { rw hjp, ring } },
have hk2 : s ^ 2 = k ^ 4, { cases hk with hkp hkp; { rw hkp, ring } },
-- from m = r ^ 2 + s ^ 2 we now get a new solution to a ^ 4 + b ^ 4 = c ^ 2:
have hh : i ^ 2 = j ^ 4 + k ^ 4, { rw [← hi, htt3, hj2, hk2] },
have hn : n ≠ 0, { rw ht2 at hb20, apply right_ne_zero_of_mul hb20 },
-- and it has a smaller c: from c = m ^ 2 + n ^ 2 we see that m is smaller than c, and i ^ 2 = m.
have hic : int.nat_abs i < int.nat_abs c,
{ apply int.coe_nat_lt.mp, rw ← (int.eq_nat_abs_of_zero_le (le_of_lt hc)),
apply gt_of_gt_of_ge _ (int.abs_le_self_sq i),
rw [← hi, ht3],
apply gt_of_gt_of_ge _ (int.le_self_sq m),
exact lt_add_of_pos_right (m ^ 2) (sq_pos_of_ne_zero n hn) },
have hic' : int.nat_abs c ≤ int.nat_abs i,
{ apply (h.2 j k i),
exact ⟨hj0, hk0, hh.symm⟩ },
apply absurd (not_le_of_lt hic) (not_not.mpr hic')
end
end fermat_42
lemma not_fermat_42 {a b c : ℤ} (ha : a ≠ 0) (hb : b ≠ 0) :
a ^ 4 + b ^ 4 ≠ c ^ 2 :=
begin
intro h,
obtain ⟨a0, b0, c0, ⟨hf, h2, hp⟩⟩ :=
fermat_42.exists_pos_odd_minimal (and.intro ha (and.intro hb h)),
apply fermat_42.not_minimal hf h2 hp
end
theorem not_fermat_4 {a b c : ℤ} (ha : a ≠ 0) (hb : b ≠ 0) :
a ^ 4 + b ^ 4 ≠ c ^ 4 :=
begin
intro heq,
apply @not_fermat_42 _ _ (c ^ 2) ha hb,
rw heq, ring
end
|
15e5d632af613f067aac849c1cc158907dba66c1 | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/analysis/normed_space/banach.lean | 00faf79d731db2a83df5446a5037c242524cd668 | [
"Apache-2.0"
] | permissive | waynemunro/mathlib | e3fd4ff49f4cb43d4a8ded59d17be407bc5ee552 | 065a70810b5480d584033f7bbf8e0409480c2118 | refs/heads/master | 1,693,417,182,397 | 1,634,644,781,000 | 1,634,644,781,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 17,532 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import topology.metric_space.baire
import analysis.normed_space.operator_norm
import analysis.normed_space.affine_isometry
/-!
# Banach open mapping theorem
This file contains the Banach open mapping theorem, i.e., the fact that a bijective
bounded linear map between Banach spaces has a bounded inverse.
-/
open function metric set filter finset
open_locale classical topological_space big_operators nnreal
variables {𝕜 : Type*} [nondiscrete_normed_field 𝕜]
{E : Type*} [normed_group E] [normed_space 𝕜 E]
{F : Type*} [normed_group F] [normed_space 𝕜 F]
(f : E →L[𝕜] F)
include 𝕜
namespace continuous_linear_map
/-- A (possibly nonlinear) right inverse to a continuous linear map, which doesn't have to be
linear itself but which satisfies a bound `∥inverse x∥ ≤ C * ∥x∥`. A surjective continuous linear
map doesn't always have a continuous linear right inverse, but it always has a nonlinear inverse
in this sense, by Banach's open mapping theorem. -/
structure nonlinear_right_inverse :=
(to_fun : F → E)
(nnnorm : ℝ≥0)
(bound' : ∀ y, ∥to_fun y∥ ≤ nnnorm * ∥y∥)
(right_inv' : ∀ y, f (to_fun y) = y)
instance : has_coe_to_fun (nonlinear_right_inverse f) := ⟨_, λ fsymm, fsymm.to_fun⟩
@[simp] lemma nonlinear_right_inverse.right_inv {f : E →L[𝕜] F} (fsymm : nonlinear_right_inverse f)
(y : F) : f (fsymm y) = y :=
fsymm.right_inv' y
lemma nonlinear_right_inverse.bound {f : E →L[𝕜] F} (fsymm : nonlinear_right_inverse f) (y : F) :
∥fsymm y∥ ≤ fsymm.nnnorm * ∥y∥ :=
fsymm.bound' y
end continuous_linear_map
/-- Given a continuous linear equivalence, the inverse is in particular an instance of
`nonlinear_right_inverse` (which turns out to be linear). -/
noncomputable def continuous_linear_equiv.to_nonlinear_right_inverse (f : E ≃L[𝕜] F) :
continuous_linear_map.nonlinear_right_inverse (f : E →L[𝕜] F) :=
{ to_fun := f.inv_fun,
nnnorm := nnnorm (f.symm : F →L[𝕜] E),
bound' := λ y, continuous_linear_map.le_op_norm (f.symm : F →L[𝕜] E) _,
right_inv' := f.apply_symm_apply }
noncomputable instance (f : E ≃L[𝕜] F) :
inhabited (continuous_linear_map.nonlinear_right_inverse (f : E →L[𝕜] F)) :=
⟨f.to_nonlinear_right_inverse⟩
/-! ### Proof of the Banach open mapping theorem -/
variable [complete_space F]
/--
First step of the proof of the Banach open mapping theorem (using completeness of `F`):
by Baire's theorem, there exists a ball in `E` whose image closure has nonempty interior.
Rescaling everything, it follows that any `y ∈ F` is arbitrarily well approached by
images of elements of norm at most `C * ∥y∥`.
For further use, we will only need such an element whose image
is within distance `∥y∥/2` of `y`, to apply an iterative process. -/
lemma exists_approx_preimage_norm_le (surj : surjective f) :
∃C ≥ 0, ∀y, ∃x, dist (f x) y ≤ 1/2 * ∥y∥ ∧ ∥x∥ ≤ C * ∥y∥ :=
begin
have A : (⋃n:ℕ, closure (f '' (ball 0 n))) = univ,
{ refine subset.antisymm (subset_univ _) (λy hy, _),
rcases surj y with ⟨x, hx⟩,
rcases exists_nat_gt (∥x∥) with ⟨n, hn⟩,
refine mem_Union.2 ⟨n, subset_closure _⟩,
refine (mem_image _ _ _).2 ⟨x, ⟨_, hx⟩⟩,
rwa [mem_ball, dist_eq_norm, sub_zero] },
have : ∃ (n : ℕ) x, x ∈ interior (closure (f '' (ball 0 n))) :=
nonempty_interior_of_Union_of_closed (λn, is_closed_closure) A,
simp only [mem_interior_iff_mem_nhds, metric.mem_nhds_iff] at this,
rcases this with ⟨n, a, ε, ⟨εpos, H⟩⟩,
rcases normed_field.exists_one_lt_norm 𝕜 with ⟨c, hc⟩,
refine ⟨(ε/2)⁻¹ * ∥c∥ * 2 * n, _, λy, _⟩,
{ refine mul_nonneg (mul_nonneg (mul_nonneg _ (norm_nonneg _)) (by norm_num)) _,
exacts [inv_nonneg.2 (div_nonneg (le_of_lt εpos) (by norm_num)), n.cast_nonneg] },
{ by_cases hy : y = 0,
{ use 0, simp [hy] },
{ rcases rescale_to_shell hc (half_pos εpos) hy with ⟨d, hd, ydlt, leyd, dinv⟩,
let δ := ∥d∥ * ∥y∥/4,
have δpos : 0 < δ :=
div_pos (mul_pos (norm_pos_iff.2 hd) (norm_pos_iff.2 hy)) (by norm_num),
have : a + d • y ∈ ball a ε,
by simp [dist_eq_norm, lt_of_le_of_lt ydlt.le (half_lt_self εpos)],
rcases metric.mem_closure_iff.1 (H this) _ δpos with ⟨z₁, z₁im, h₁⟩,
rcases (mem_image _ _ _).1 z₁im with ⟨x₁, hx₁, xz₁⟩,
rw ← xz₁ at h₁,
rw [mem_ball, dist_eq_norm, sub_zero] at hx₁,
have : a ∈ ball a ε, by { simp, exact εpos },
rcases metric.mem_closure_iff.1 (H this) _ δpos with ⟨z₂, z₂im, h₂⟩,
rcases (mem_image _ _ _).1 z₂im with ⟨x₂, hx₂, xz₂⟩,
rw ← xz₂ at h₂,
rw [mem_ball, dist_eq_norm, sub_zero] at hx₂,
let x := x₁ - x₂,
have I : ∥f x - d • y∥ ≤ 2 * δ := calc
∥f x - d • y∥ = ∥f x₁ - (a + d • y) - (f x₂ - a)∥ :
by { congr' 1, simp only [x, f.map_sub], abel }
... ≤ ∥f x₁ - (a + d • y)∥ + ∥f x₂ - a∥ :
norm_sub_le _ _
... ≤ δ + δ : begin
apply add_le_add,
{ rw [← dist_eq_norm, dist_comm], exact le_of_lt h₁ },
{ rw [← dist_eq_norm, dist_comm], exact le_of_lt h₂ }
end
... = 2 * δ : (two_mul _).symm,
have J : ∥f (d⁻¹ • x) - y∥ ≤ 1/2 * ∥y∥ := calc
∥f (d⁻¹ • x) - y∥ = ∥d⁻¹ • f x - (d⁻¹ * d) • y∥ :
by rwa [f.map_smul _, inv_mul_cancel, one_smul]
... = ∥d⁻¹ • (f x - d • y)∥ : by rw [mul_smul, smul_sub]
... = ∥d∥⁻¹ * ∥f x - d • y∥ : by rw [norm_smul, normed_field.norm_inv]
... ≤ ∥d∥⁻¹ * (2 * δ) : begin
apply mul_le_mul_of_nonneg_left I,
rw inv_nonneg,
exact norm_nonneg _
end
... = (∥d∥⁻¹ * ∥d∥) * ∥y∥ /2 : by { simp only [δ], ring }
... = ∥y∥/2 : by { rw [inv_mul_cancel, one_mul], simp [norm_eq_zero, hd] }
... = (1/2) * ∥y∥ : by ring,
rw ← dist_eq_norm at J,
have K : ∥d⁻¹ • x∥ ≤ (ε / 2)⁻¹ * ∥c∥ * 2 * ↑n * ∥y∥ := calc
∥d⁻¹ • x∥ = ∥d∥⁻¹ * ∥x₁ - x₂∥ : by rw [norm_smul, normed_field.norm_inv]
... ≤ ((ε / 2)⁻¹ * ∥c∥ * ∥y∥) * (n + n) : begin
refine mul_le_mul dinv _ (norm_nonneg _) _,
{ exact le_trans (norm_sub_le _ _) (add_le_add (le_of_lt hx₁) (le_of_lt hx₂)) },
{ apply mul_nonneg (mul_nonneg _ (norm_nonneg _)) (norm_nonneg _),
exact inv_nonneg.2 (le_of_lt (half_pos εpos)) }
end
... = (ε / 2)⁻¹ * ∥c∥ * 2 * ↑n * ∥y∥ : by ring,
exact ⟨d⁻¹ • x, J, K⟩ } },
end
variable [complete_space E]
/-- The Banach open mapping theorem: if a bounded linear map between Banach spaces is onto, then
any point has a preimage with controlled norm. -/
theorem exists_preimage_norm_le (surj : surjective f) :
∃C > 0, ∀y, ∃x, f x = y ∧ ∥x∥ ≤ C * ∥y∥ :=
begin
obtain ⟨C, C0, hC⟩ := exists_approx_preimage_norm_le f surj,
/- Second step of the proof: starting from `y`, we want an exact preimage of `y`. Let `g y` be
the approximate preimage of `y` given by the first step, and `h y = y - f(g y)` the part that
has no preimage yet. We will iterate this process, taking the approximate preimage of `h y`,
leaving only `h^2 y` without preimage yet, and so on. Let `u n` be the approximate preimage
of `h^n y`. Then `u` is a converging series, and by design the sum of the series is a
preimage of `y`. This uses completeness of `E`. -/
choose g hg using hC,
let h := λy, y - f (g y),
have hle : ∀y, ∥h y∥ ≤ (1/2) * ∥y∥,
{ assume y,
rw [← dist_eq_norm, dist_comm],
exact (hg y).1 },
refine ⟨2 * C + 1, by linarith, λy, _⟩,
have hnle : ∀n:ℕ, ∥(h^[n]) y∥ ≤ (1/2)^n * ∥y∥,
{ assume n,
induction n with n IH,
{ simp only [one_div, nat.nat_zero_eq_zero, one_mul, iterate_zero_apply,
pow_zero] },
{ rw [iterate_succ'],
apply le_trans (hle _) _,
rw [pow_succ, mul_assoc],
apply mul_le_mul_of_nonneg_left IH,
norm_num } },
let u := λn, g((h^[n]) y),
have ule : ∀n, ∥u n∥ ≤ (1/2)^n * (C * ∥y∥),
{ assume n,
apply le_trans (hg _).2 _,
calc C * ∥(h^[n]) y∥ ≤ C * ((1/2)^n * ∥y∥) : mul_le_mul_of_nonneg_left (hnle n) C0
... = (1 / 2) ^ n * (C * ∥y∥) : by ring },
have sNu : summable (λn, ∥u n∥),
{ refine summable_of_nonneg_of_le (λn, norm_nonneg _) ule _,
exact summable.mul_right _ (summable_geometric_of_lt_1 (by norm_num) (by norm_num)) },
have su : summable u := summable_of_summable_norm sNu,
let x := tsum u,
have x_ineq : ∥x∥ ≤ (2 * C + 1) * ∥y∥ := calc
∥x∥ ≤ ∑'n, ∥u n∥ : norm_tsum_le_tsum_norm sNu
... ≤ ∑'n, (1/2)^n * (C * ∥y∥) :
tsum_le_tsum ule sNu (summable.mul_right _ summable_geometric_two)
... = (∑'n, (1/2)^n) * (C * ∥y∥) : tsum_mul_right
... = 2 * C * ∥y∥ : by rw [tsum_geometric_two, mul_assoc]
... ≤ 2 * C * ∥y∥ + ∥y∥ : le_add_of_nonneg_right (norm_nonneg y)
... = (2 * C + 1) * ∥y∥ : by ring,
have fsumeq : ∀n:ℕ, f (∑ i in range n, u i) = y - (h^[n]) y,
{ assume n,
induction n with n IH,
{ simp [f.map_zero] },
{ rw [sum_range_succ, f.map_add, IH, iterate_succ', sub_add] } },
have : tendsto (λn, ∑ i in range n, u i) at_top (𝓝 x) :=
su.has_sum.tendsto_sum_nat,
have L₁ : tendsto (λn, f (∑ i in range n, u i)) at_top (𝓝 (f x)) :=
(f.continuous.tendsto _).comp this,
simp only [fsumeq] at L₁,
have L₂ : tendsto (λn, y - (h^[n]) y) at_top (𝓝 (y - 0)),
{ refine tendsto_const_nhds.sub _,
rw tendsto_iff_norm_tendsto_zero,
simp only [sub_zero],
refine squeeze_zero (λ_, norm_nonneg _) hnle _,
rw [← zero_mul ∥y∥],
refine (tendsto_pow_at_top_nhds_0_of_lt_1 _ _).mul tendsto_const_nhds; norm_num },
have feq : f x = y - 0 := tendsto_nhds_unique L₁ L₂,
rw sub_zero at feq,
exact ⟨x, feq, x_ineq⟩
end
/-- The Banach open mapping theorem: a surjective bounded linear map between Banach spaces is
open. -/
theorem open_mapping (surj : surjective f) : is_open_map f :=
begin
assume s hs,
rcases exists_preimage_norm_le f surj with ⟨C, Cpos, hC⟩,
refine is_open_iff.2 (λy yfs, _),
rcases mem_image_iff_bex.1 yfs with ⟨x, xs, fxy⟩,
rcases is_open_iff.1 hs x xs with ⟨ε, εpos, hε⟩,
refine ⟨ε/C, div_pos εpos Cpos, λz hz, _⟩,
rcases hC (z-y) with ⟨w, wim, wnorm⟩,
have : f (x + w) = z, by { rw [f.map_add, wim, fxy, add_sub_cancel'_right] },
rw ← this,
have : x + w ∈ ball x ε := calc
dist (x+w) x = ∥w∥ : by { rw dist_eq_norm, simp }
... ≤ C * ∥z - y∥ : wnorm
... < C * (ε/C) : begin
apply mul_lt_mul_of_pos_left _ Cpos,
rwa [mem_ball, dist_eq_norm] at hz,
end
... = ε : mul_div_cancel' _ (ne_of_gt Cpos),
exact set.mem_image_of_mem _ (hε this)
end
lemma open_mapping_affine {P Q : Type*}
[metric_space P] [normed_add_torsor E P] [metric_space Q] [normed_add_torsor F Q]
{f : P →ᵃ[𝕜] Q} (hf : continuous f) (surj : surjective f) :
is_open_map f :=
begin
rw ← affine_map.is_open_map_linear_iff,
exact open_mapping
{ cont := affine_map.continuous_linear_iff.mpr hf, .. f.linear }
(f.surjective_iff_linear_surjective.mpr surj),
end
/-! ### Applications of the Banach open mapping theorem -/
namespace continuous_linear_map
lemma exists_nonlinear_right_inverse_of_surjective (f : E →L[𝕜] F) (hsurj : f.range = ⊤) :
∃ (fsymm : nonlinear_right_inverse f), 0 < fsymm.nnnorm :=
begin
choose C hC fsymm h using exists_preimage_norm_le _ (linear_map.range_eq_top.mp hsurj),
use { to_fun := fsymm,
nnnorm := ⟨C, hC.lt.le⟩,
bound' := λ y, (h y).2,
right_inv' := λ y, (h y).1 },
exact hC
end
/-- A surjective continuous linear map between Banach spaces admits a (possibly nonlinear)
controlled right inverse. In general, it is not possible to ensure that such a right inverse
is linear (take for instance the map from `E` to `E/F` where `F` is a closed subspace of `E`
without a closed complement. Then it doesn't have a continuous linear right inverse.) -/
@[irreducible] noncomputable def nonlinear_right_inverse_of_surjective
(f : E →L[𝕜] F) (hsurj : f.range = ⊤) : nonlinear_right_inverse f :=
classical.some (exists_nonlinear_right_inverse_of_surjective f hsurj)
lemma nonlinear_right_inverse_of_surjective_nnnorm_pos (f : E →L[𝕜] F) (hsurj : f.range = ⊤) :
0 < (nonlinear_right_inverse_of_surjective f hsurj).nnnorm :=
begin
rw nonlinear_right_inverse_of_surjective,
exact classical.some_spec (exists_nonlinear_right_inverse_of_surjective f hsurj)
end
end continuous_linear_map
namespace linear_equiv
/-- If a bounded linear map is a bijection, then its inverse is also a bounded linear map. -/
@[continuity]
theorem continuous_symm (e : E ≃ₗ[𝕜] F) (h : continuous e) :
continuous e.symm :=
begin
rw continuous_def,
intros s hs,
rw [← e.image_eq_preimage],
rw [← e.coe_coe] at h ⊢,
exact open_mapping ⟨↑e, h⟩ e.surjective s hs
end
/-- Associating to a linear equivalence between Banach spaces a continuous linear equivalence when
the direct map is continuous, thanks to the Banach open mapping theorem that ensures that the
inverse map is also continuous. -/
def to_continuous_linear_equiv_of_continuous (e : E ≃ₗ[𝕜] F) (h : continuous e) :
E ≃L[𝕜] F :=
{ continuous_to_fun := h,
continuous_inv_fun := e.continuous_symm h,
..e }
@[simp] lemma coe_fn_to_continuous_linear_equiv_of_continuous (e : E ≃ₗ[𝕜] F) (h : continuous e) :
⇑(e.to_continuous_linear_equiv_of_continuous h) = e := rfl
@[simp] lemma coe_fn_to_continuous_linear_equiv_of_continuous_symm (e : E ≃ₗ[𝕜] F)
(h : continuous e) :
⇑(e.to_continuous_linear_equiv_of_continuous h).symm = e.symm := rfl
end linear_equiv
namespace continuous_linear_equiv
/-- Convert a bijective continuous linear map `f : E →L[𝕜] F` between two Banach spaces
to a continuous linear equivalence. -/
noncomputable def of_bijective (f : E →L[𝕜] F) (hinj : f.ker = ⊥) (hsurj : f.range = ⊤) :
E ≃L[𝕜] F :=
(linear_equiv.of_bijective ↑f (linear_map.ker_eq_bot.mp hinj) (linear_map.range_eq_top.mp hsurj))
.to_continuous_linear_equiv_of_continuous f.continuous
@[simp] lemma coe_fn_of_bijective (f : E →L[𝕜] F) (hinj : f.ker = ⊥) (hsurj : f.range = ⊤) :
⇑(of_bijective f hinj hsurj) = f := rfl
lemma coe_of_bijective (f : E →L[𝕜] F) (hinj : f.ker = ⊥) (hsurj : f.range = ⊤) :
↑(of_bijective f hinj hsurj) = f := by { ext, refl }
@[simp] lemma of_bijective_symm_apply_apply (f : E →L[𝕜] F) (hinj : f.ker = ⊥)
(hsurj : f.range = ⊤) (x : E) :
(of_bijective f hinj hsurj).symm (f x) = x :=
(of_bijective f hinj hsurj).symm_apply_apply x
@[simp] lemma of_bijective_apply_symm_apply (f : E →L[𝕜] F) (hinj : f.ker = ⊥)
(hsurj : f.range = ⊤) (y : F) :
f ((of_bijective f hinj hsurj).symm y) = y :=
(of_bijective f hinj hsurj).apply_symm_apply y
end continuous_linear_equiv
namespace continuous_linear_map
/-- Intermediate definition used to show
`continuous_linear_map.closed_complemented_range_of_is_compl_of_ker_eq_bot`.
This is `f.coprod G.subtypeL` as an `continuous_linear_equiv`. -/
noncomputable def coprod_subtypeL_equiv_of_is_compl
(f : E →L[𝕜] F) {G : submodule 𝕜 F}
(h : is_compl f.range G) [complete_space G] (hker : f.ker = ⊥) : (E × G) ≃L[𝕜] F :=
continuous_linear_equiv.of_bijective (f.coprod G.subtypeL)
(begin
rw ker_coprod_of_disjoint_range,
{ rw [hker, submodule.ker_subtypeL, submodule.prod_bot] },
{ rw submodule.range_subtypeL,
exact h.disjoint }
end)
(by simp only [range_coprod, h.sup_eq_top, submodule.range_subtypeL])
lemma range_eq_map_coprod_subtypeL_equiv_of_is_compl
(f : E →L[𝕜] F) {G : submodule 𝕜 F}
(h : is_compl f.range G) [complete_space G] (hker : f.ker = ⊥) :
f.range = ((⊤ : submodule 𝕜 E).prod (⊥ : submodule 𝕜 G)).map
(f.coprod_subtypeL_equiv_of_is_compl h hker : E × G →ₗ[𝕜] F) :=
by rw [coprod_subtypeL_equiv_of_is_compl, _root_.coe_coe, continuous_linear_equiv.coe_of_bijective,
coe_coprod, linear_map.coprod_map_prod, submodule.map_bot, sup_bot_eq, submodule.map_top,
range]
/- TODO: remove the assumption `f.ker = ⊥` in the next lemma, by using the map induced by `f` on
`E / f.ker`, once we have quotient normed spaces. -/
lemma closed_complemented_range_of_is_compl_of_ker_eq_bot (f : E →L[𝕜] F) (G : submodule 𝕜 F)
(h : is_compl f.range G) (hG : is_closed (G : set F)) (hker : f.ker = ⊥) :
is_closed (f.range : set F) :=
begin
haveI : complete_space G := complete_space_coe_iff_is_complete.2 hG.is_complete,
let g := coprod_subtypeL_equiv_of_is_compl f h hker,
rw congr_arg coe (range_eq_map_coprod_subtypeL_equiv_of_is_compl f h hker ),
apply g.to_homeomorph.is_closed_image.2,
exact is_closed_univ.prod is_closed_singleton,
end
end continuous_linear_map
|
b17f8adffd819d504d3b440ad691eb3cad4559ce | 64874bd1010548c7f5a6e3e8902efa63baaff785 | /tests/lean/hott/noc.hlean | 263a5939dd23d076e455e67c507d61f63f60dc2a | [
"Apache-2.0"
] | permissive | tjiaqi/lean | 4634d729795c164664d10d093f3545287c76628f | d0ce4cf62f4246b0600c07e074d86e51f2195e30 | refs/heads/master | 1,622,323,796,480 | 1,422,643,069,000 | 1,422,643,069,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 442 | hlean | set_option pp.beta true
structure foo :=
mk :: (A : Type) (B : A → Type) (a : A) (b : B a)
namespace foo
definition foo.inj₁
{A₁ : Type} {B₁ : A₁ → Type} {a₁ : A₁} {b₁ : B₁ a₁}
{A₂ : Type} {B₂ : A₂ → Type} {a₂ : A₂} {b₂ : B₂ a₂}
(H : foo.mk A₁ B₁ a₁ b₁ = foo.mk A₂ B₂ a₂ b₂)
: A₁ = A₂
:= lift.down (no_confusion H (λ e₁ e₂ e₃ e₄, e₁))
end foo
|
3b1a6f21b1bcc3069df83a09b5b4e0dffca90618 | c3f2fcd060adfa2ca29f924839d2d925e8f2c685 | /library/data/nat/div.lean | 22ef5d14863af332596dcac46168265973b497c1 | [
"Apache-2.0"
] | permissive | respu/lean | 6582d19a2f2838a28ecd2b3c6f81c32d07b5341d | 8c76419c60b63d0d9f7bc04ebb0b99812d0ec654 | refs/heads/master | 1,610,882,451,231 | 1,427,747,084,000 | 1,427,747,429,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 36,827 | lean | /-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Module: data.nat.div
Authors: Jeremy Avigad, Leonardo de Moura
Definitions and properties of div, mod, gcd, lcm, coprime. Much of the development follows
Isabelle's library.
-/
import data.nat.sub tools.fake_simplifier
open eq.ops well_founded decidable fake_simplifier prod
namespace nat
/- div and mod -/
-- auxiliary lemma used to justify div
private definition div_rec_lemma {x y : nat} (H : 0 < y ∧ y ≤ x) : x - y < x :=
and.rec_on H (λ ypos ylex, sub_lt (lt_of_lt_of_le ypos ylex) ypos)
private definition div.F (x : nat) (f : Π x₁, x₁ < x → nat → nat) (y : nat) : nat :=
if H : 0 < y ∧ y ≤ x then f (x - y) (div_rec_lemma H) y + 1 else zero
definition divide (x y : nat) := fix div.F x y
theorem divide_def (x y : nat) : divide x y = if 0 < y ∧ y ≤ x then divide (x - y) y + 1 else 0 :=
congr_fun (fix_eq div.F x) y
notation a div b := divide a b
theorem div_zero (a : ℕ) : a div 0 = 0 :=
divide_def a 0 ⬝ if_neg (!not_and_of_not_left (lt.irrefl 0))
theorem div_eq_zero_of_lt {a b : ℕ} (h : a < b) : a div b = 0 :=
divide_def a b ⬝ if_neg (!not_and_of_not_right (not_le_of_lt h))
theorem zero_div (b : ℕ) : 0 div b = 0 :=
divide_def 0 b ⬝ if_neg (λ h, and.rec_on h (λ l r, absurd (lt_of_lt_of_le l r) (lt.irrefl 0)))
theorem div_eq_succ_sub_div {a b : ℕ} (h₁ : b > 0) (h₂ : a ≥ b) : a div b = succ ((a - b) div b) :=
divide_def a b ⬝ if_pos (and.intro h₁ h₂)
theorem add_div_self (x : ℕ) {z : ℕ} (H : z > 0) : (x + z) div z = succ (x div z) :=
calc
(x + z) div z = if 0 < z ∧ z ≤ x + z then (x + z - z) div z + 1 else 0 : !divide_def
... = (x + z - z) div z + 1 : if_pos (and.intro H (le_add_left z x))
... = succ (x div z) : {!add_sub_cancel}
theorem add_div_self_left {x : ℕ} (z : ℕ) (H : x > 0) : (x + z) div x = succ (z div x) :=
!add.comm ▸ !add_div_self H
theorem add_mul_div_self {x y z : ℕ} (H : z > 0) : (x + y * z) div z = x div z + y :=
nat.induction_on y
(calc (x + zero * z) div z = (x + zero) div z : zero_mul
... = x div z : add_zero
... = x div z + zero : add_zero)
(take y,
assume IH : (x + y * z) div z = x div z + y, calc
(x + succ y * z) div z = (x + y * z + z) div z : by simp
... = succ ((x + y * z) div z) : !add_div_self H
... = x div z + succ y : by simp)
theorem add_mul_div_self_left (x z : ℕ) {y : ℕ} (H : y > 0) : (x + y * z) div y = x div y + z :=
!mul.comm ▸ add_mul_div_self H
theorem mul_div_cancel (m : ℕ) {n : ℕ} (H : n > 0) : m * n div n = m :=
calc
m * n div n = (0 + m * n) div n : zero_add
... = 0 div n + m : add_mul_div_self H
... = 0 + m : zero_div
... = m : zero_add
theorem mul_div_cancel_left {m : ℕ} (n : ℕ) (H : m > 0) : m * n div m = n :=
!mul.comm ▸ !mul_div_cancel H
private definition mod.F (x : nat) (f : Π x₁, x₁ < x → nat → nat) (y : nat) : nat :=
if H : 0 < y ∧ y ≤ x then f (x - y) (div_rec_lemma H) y else x
definition modulo (x y : nat) := fix mod.F x y
notation a mod b := modulo a b
theorem modulo_def (x y : nat) : modulo x y = if 0 < y ∧ y ≤ x then modulo (x - y) y else x :=
congr_fun (fix_eq mod.F x) y
theorem mod_zero (a : ℕ) : a mod 0 = a :=
modulo_def a 0 ⬝ if_neg (!not_and_of_not_left (lt.irrefl 0))
theorem mod_eq_of_lt {a b : ℕ} (h : a < b) : a mod b = a :=
modulo_def a b ⬝ if_neg (!not_and_of_not_right (not_le_of_lt h))
theorem zero_mod (b : ℕ) : 0 mod b = 0 :=
modulo_def 0 b ⬝ if_neg (λ h, and.rec_on h (λ l r, absurd (lt_of_lt_of_le l r) (lt.irrefl 0)))
theorem mod_eq_sub_mod {a b : ℕ} (h₁ : b > 0) (h₂ : a ≥ b) : a mod b = (a - b) mod b :=
modulo_def a b ⬝ if_pos (and.intro h₁ h₂)
theorem add_mod_self {x z : ℕ} (H : z > 0) : (x + z) mod z = x mod z :=
calc
(x + z) mod z = if 0 < z ∧ z ≤ x + z then (x + z - z) mod z else _ : modulo_def
... = (x + z - z) mod z : if_pos (and.intro H (le_add_left z x))
... = x mod z : add_sub_cancel
theorem add_mod_self_left {x z : ℕ} (H : x > 0) : (x + z) mod x = z mod x :=
!add.comm ▸ add_mod_self H
theorem add_mul_mod_self {x y z : ℕ} (H : z > 0) : (x + y * z) mod z = x mod z :=
nat.induction_on y
(calc (x + zero * z) mod z = (x + zero) mod z : zero_mul
... = x mod z : add_zero)
(take y,
assume IH : (x + y * z) mod z = x mod z,
calc
(x + succ y * z) mod z = (x + (y * z + z)) mod z : succ_mul
... = (x + y * z + z) mod z : add.assoc
... = (x + y * z) mod z : add_mod_self H
... = x mod z : IH)
theorem add_mul_mod_self_left {x y z : ℕ} (H : y > 0) : (x + y * z) mod y = x mod y :=
!mul.comm ▸ add_mul_mod_self H
theorem mul_mod_left {m n : ℕ} : (m * n) mod n = 0 :=
by_cases_zero_pos n (by simp)
(take n,
assume npos : n > 0,
(by simp) ▸ (@add_mul_mod_self 0 m _ npos))
theorem mul_mod_right {m n : ℕ} : (m * n) mod m = 0 :=
!mul.comm ▸ !mul_mod_left
theorem mod_lt {x y : ℕ} (H : y > 0) : x mod y < y :=
nat.case_strong_induction_on x
(show 0 mod y < y, from !zero_mod⁻¹ ▸ H)
(take x,
assume IH : ∀x', x' ≤ x → x' mod y < y,
show succ x mod y < y, from
by_cases -- (succ x < y)
(assume H1 : succ x < y,
have H2 : succ x mod y = succ x, from mod_eq_of_lt H1,
show succ x mod y < y, from H2⁻¹ ▸ H1)
(assume H1 : ¬ succ x < y,
have H2 : y ≤ succ x, from le_of_not_lt H1,
have H3 : succ x mod y = (succ x - y) mod y, from mod_eq_sub_mod H H2,
have H4 : succ x - y < succ x, from sub_lt !succ_pos H,
have H5 : succ x - y ≤ x, from le_of_lt_succ H4,
show succ x mod y < y, from H3⁻¹ ▸ IH _ H5))
/- properties of div and mod together -/
-- the quotient / remainder theorem
theorem eq_div_mul_add_mod {x y : ℕ} : x = x div y * y + x mod y :=
by_cases_zero_pos y
(show x = x div 0 * 0 + x mod 0, from
(calc
x div 0 * 0 + x mod 0 = 0 + x mod 0 : mul_zero
... = x mod 0 : zero_add
... = x : mod_zero)⁻¹)
(take y,
assume H : y > 0,
show x = x div y * y + x mod y, from
nat.case_strong_induction_on x
(show 0 = (0 div y) * y + 0 mod y, by simp)
(take x,
assume IH : ∀x', x' ≤ x → x' = x' div y * y + x' mod y,
show succ x = succ x div y * y + succ x mod y, from
by_cases -- (succ x < y)
(assume H1 : succ x < y,
have H2 : succ x div y = 0, from div_eq_zero_of_lt H1,
have H3 : succ x mod y = succ x, from mod_eq_of_lt H1,
by simp)
(assume H1 : ¬ succ x < y,
have H2 : y ≤ succ x, from le_of_not_lt H1,
have H3 : succ x div y = succ ((succ x - y) div y), from div_eq_succ_sub_div H H2,
have H4 : succ x mod y = (succ x - y) mod y, from mod_eq_sub_mod H H2,
have H5 : succ x - y < succ x, from sub_lt !succ_pos H,
have H6 : succ x - y ≤ x, from le_of_lt_succ H5,
(calc
succ x div y * y + succ x mod y =
succ ((succ x - y) div y) * y + succ x mod y : H3
... = ((succ x - y) div y) * y + y + succ x mod y : succ_mul
... = ((succ x - y) div y) * y + y + (succ x - y) mod y : H4
... = ((succ x - y) div y) * y + (succ x - y) mod y + y : add.right_comm
... = succ x - y + y : {!(IH _ H6)⁻¹}
... = succ x : sub_add_cancel H2)⁻¹)))
theorem mod_le {x y : ℕ} : x mod y ≤ x :=
eq_div_mul_add_mod⁻¹ ▸ !le_add_left
theorem eq_remainder {y : ℕ} (H : y > 0) {q1 r1 q2 r2 : ℕ} (H1 : r1 < y) (H2 : r2 < y)
(H3 : q1 * y + r1 = q2 * y + r2) : r1 = r2 :=
calc
r1 = r1 mod y : by simp
... = (r1 + q1 * y) mod y : (add_mul_mod_self H)⁻¹
... = (q1 * y + r1) mod y : add.comm
... = (r2 + q2 * y) mod y : by simp
... = r2 mod y : add_mul_mod_self H
... = r2 : by simp
theorem eq_quotient {y : ℕ} (H : y > 0) {q1 r1 q2 r2 : ℕ} (H1 : r1 < y) (H2 : r2 < y)
(H3 : q1 * y + r1 = q2 * y + r2) : q1 = q2 :=
have H4 : q1 * y + r2 = q2 * y + r2, from (eq_remainder H H1 H2 H3) ▸ H3,
have H5 : q1 * y = q2 * y, from add.cancel_right H4,
have H6 : y > 0, from lt_of_le_of_lt !zero_le H1,
show q1 = q2, from eq_of_mul_eq_mul_right H6 H5
theorem mul_div_mul_left {z : ℕ} (x y : ℕ) (zpos : z > 0) : (z * x) div (z * y) = x div y :=
by_cases -- (y = 0)
(assume H : y = 0, by simp)
(assume H : y ≠ 0,
have ypos : y > 0, from pos_of_ne_zero H,
have zypos : z * y > 0, from mul_pos zpos ypos,
have H1 : (z * x) mod (z * y) < z * y, from mod_lt zypos,
have H2 : z * (x mod y) < z * y, from mul_lt_mul_of_pos_left (mod_lt ypos) zpos,
eq_quotient zypos H1 H2
(calc
((z * x) div (z * y)) * (z * y) + (z * x) mod (z * y) = z * x : eq_div_mul_add_mod
... = z * (x div y * y + x mod y) : eq_div_mul_add_mod
... = z * (x div y * y) + z * (x mod y) : mul.left_distrib
... = (x div y) * (z * y) + z * (x mod y) : mul.left_comm))
theorem mul_div_mul_right {x z y : ℕ} (zpos : z > 0) : (x * z) div (y * z) = x div y :=
!mul.comm ▸ !mul.comm ▸ !mul_div_mul_left zpos
theorem mul_mod_mul_left (z x y : ℕ) : (z * x) mod (z * y) = z * (x mod y) :=
or.elim (eq_zero_or_pos z)
(assume H : z = 0,
calc
(z * x) mod (z * y) = (0 * x) mod (z * y) : H
... = 0 mod (z * y) : zero_mul
... = 0 : zero_mod
... = 0 * (x mod y) : zero_mul
... = z * (x mod y) : H)
(assume zpos : z > 0,
or.elim (eq_zero_or_pos y)
(assume H : y = 0, by simp)
(assume ypos : y > 0,
have zypos : z * y > 0, from mul_pos zpos ypos,
have H1 : (z * x) mod (z * y) < z * y, from mod_lt zypos,
have H2 : z * (x mod y) < z * y, from mul_lt_mul_of_pos_left (mod_lt ypos) zpos,
eq_remainder zypos H1 H2
(calc
((z * x) div (z * y)) * (z * y) + (z * x) mod (z * y) = z * x : eq_div_mul_add_mod
... = z * (x div y * y + x mod y) : eq_div_mul_add_mod
... = z * (x div y * y) + z * (x mod y) : mul.left_distrib
... = (x div y) * (z * y) + z * (x mod y) : mul.left_comm)))
theorem mul_mod_mul_right (x z y : ℕ) : (x * z) mod (y * z) = (x mod y) * z :=
mul.comm z x ▸ mul.comm z y ▸ !mul.comm ▸ !mul_mod_mul_left
theorem mod_one (n : ℕ) : n mod 1 = 0 :=
have H1 : n mod 1 < 1, from mod_lt !succ_pos,
eq_zero_of_le_zero (le_of_lt_succ H1)
theorem mod_self (n : ℕ) : n mod n = 0 :=
nat.cases_on n (by simp)
(take n,
have H : (succ n * 1) mod (succ n * 1) = succ n * (1 mod 1),
from !mul_mod_mul_left,
(by simp) ▸ H)
theorem div_one (n : ℕ) : n div 1 = n :=
have H : n div 1 * 1 + n mod 1 = n, from eq_div_mul_add_mod⁻¹,
(by simp) ▸ H
theorem div_self {n : ℕ} (H : n > 0) : n div n = 1 :=
have H1 : (n * 1) div (n * 1) = 1 div 1, from !mul_div_mul_left H,
(by simp) ▸ H1
theorem div_mul_cancel_of_mod_eq_zero {m n : ℕ} (H : m mod n = 0) : m div n * n = m :=
(calc
m = m div n * n + m mod n : eq_div_mul_add_mod
... = m div n * n + 0 : H
... = m div n * n : !add_zero)⁻¹
theorem mul_div_cancel_of_mod_eq_zero {m n : ℕ} (H : m mod n = 0) : n * (m div n) = m :=
!mul.comm ▸ div_mul_cancel_of_mod_eq_zero H
theorem div_lt_of_lt_mul {m n k : ℕ} (H : m < k * n) : m div k < n :=
lt_of_mul_lt_mul_right (calc
m div k * k ≤ m div k * k + m mod k : le_add_right
... = m : eq_div_mul_add_mod
... < k * n : H
... = n * k : nat.mul.comm)
theorem div_le_of_le_mul {m n k : ℕ} (H : m ≤ k * n) : m div k ≤ n :=
or.elim (eq_zero_or_pos k)
(assume H1 : k = 0,
calc
m div k = m div 0 : H1
... = 0 : div_zero
... ≤ n : zero_le)
(assume H1 : k > 0,
le_of_mul_le_mul_right (calc
m div k * k ≤ m div k * k + m mod k : le_add_right
... = m : eq_div_mul_add_mod
... ≤ k * n : H
... = n * k : nat.mul.comm) H1)
theorem div_le (m n : ℕ) : m div n ≤ m :=
nat.cases_on n (!div_zero⁻¹ ▸ !zero_le)
take n,
have H : m ≤ succ n * m, from calc
m = 1 * m : one_mul
... ≤ succ n * m : mul_le_mul_right (succ_le_succ !zero_le),
div_le_of_le_mul H
theorem mul_sub_div_of_lt {m n k : ℕ} (H : k < m * n) :
(m * n - (k + 1)) div m = n - k div m - 1 :=
have H1 : k div m < n, from div_lt_of_lt_mul H,
have H2 : n - k div m ≥ 1, from
le_sub_of_add_le (calc
1 + k div m = succ (k div m) : add.comm
... ≤ n : succ_le_of_lt H1),
assert H3 : n - k div m = n - k div m - 1 + 1, from (sub_add_cancel H2)⁻¹,
assert H4 : m > 0, from pos_of_ne_zero (assume H': m = 0, not_lt_zero _ (!zero_mul ▸ H' ▸ H)),
have H5 : k mod m + 1 ≤ m, from succ_le_of_lt (mod_lt H4),
assert H6 : m - (k mod m + 1) < m, from sub_lt_self H4 !succ_pos,
calc
(m * n - (k + 1)) div m = (m * n - (k div m * m + k mod m + 1)) div m : eq_div_mul_add_mod
... = (m * n - k div m * m - (k mod m + 1)) div m : by rewrite [*sub_sub]
... = ((n - k div m) * m - (k mod m + 1)) div m :
by rewrite [mul.comm m, mul_sub_right_distrib]
... = ((n - k div m - 1) * m + m - (k mod m + 1)) div m :
by rewrite [H3 at {1}, mul.right_distrib, nat.one_mul]
... = ((n - k div m - 1) * m + (m - (k mod m + 1))) div m : {add_sub_assoc H5 _}
... = (m - (k mod m + 1)) div m + (n - k div m - 1) :
by rewrite [add.comm, (add_mul_div_self H4)]
... = n - k div m - 1 :
by rewrite [div_eq_zero_of_lt H6, zero_add]
/- divides -/
theorem dvd_of_mod_eq_zero {m n : ℕ} (H : n mod m = 0) : (m | n) :=
dvd.intro (!mul.comm ▸ div_mul_cancel_of_mod_eq_zero H)
theorem mod_eq_zero_of_dvd {m n : ℕ} (H : (m | n)) : n mod m = 0 :=
dvd.elim H
(take z,
assume H1 : n = m * z,
H1⁻¹ ▸ !mul_mod_right)
theorem dvd_iff_mod_eq_zero (m n : ℕ) : (m | n) ↔ n mod m = 0 :=
iff.intro mod_eq_zero_of_dvd dvd_of_mod_eq_zero
definition dvd.decidable_rel [instance] : decidable_rel dvd :=
take m n, decidable_of_decidable_of_iff _ (iff.symm !dvd_iff_mod_eq_zero)
theorem div_mul_cancel {m n : ℕ} (H : (n | m)) : m div n * n = m :=
div_mul_cancel_of_mod_eq_zero (mod_eq_zero_of_dvd H)
theorem mul_div_cancel' {m n : ℕ} (H : (n | m)) : n * (m div n) = m :=
!mul.comm ▸ div_mul_cancel H
theorem eq_mul_of_div_eq {m n k : ℕ} (H1 : (m | n)) (H2 : n div m = k) : n = m * k :=
eq.symm (calc
m * k = m * (n div m) : H2
... = n : mul_div_cancel' H1)
theorem eq_div_of_mul_eq {m n k : ℕ} (H1 : k > 0) (H2 : n * k = m) : n = m div k :=
calc
n = n * k div k : mul_div_cancel _ H1
... = m div k : H2
theorem dvd_of_dvd_add_left {m n₁ n₂ : ℕ} (H₁ : (m | n₁ + n₂)) (H₂ : (m | n₁)) : (m | n₂) :=
obtain (c₁ : nat) (Hc₁ : n₁ + n₂ = m * c₁), from H₁,
obtain (c₂ : nat) (Hc₂ : n₁ = m * c₂), from H₂,
have aux : m * (c₁ - c₂) = n₂, from calc
m * (c₁ - c₂) = m * c₁ - m * c₂ : mul_sub_left_distrib
... = n₁ + n₂ - m * c₂ : Hc₁
... = n₁ + n₂ - n₁ : Hc₂
... = n₂ : add_sub_cancel_left,
dvd.intro aux
theorem dvd_of_dvd_add_right {m n1 n2 : ℕ} (H : (m | (n1 + n2))) : (m | n2) → (m | n1) :=
dvd_of_dvd_add_left (!add.comm ▸ H)
theorem dvd_sub {m n1 n2 : ℕ} (H1 : (m | n1)) (H2 : (m | n2)) : (m | n1 - n2) :=
by_cases
(assume H3 : n1 ≥ n2,
have H4 : n1 = n1 - n2 + n2, from (sub_add_cancel H3)⁻¹,
show (m | n1 - n2), from dvd_of_dvd_add_right (H4 ▸ H1) H2)
(assume H3 : ¬ (n1 ≥ n2),
have H4 : n1 - n2 = 0, from sub_eq_zero_of_le (le_of_lt (lt_of_not_le H3)),
show (m | n1 - n2), from H4⁻¹ ▸ dvd_zero _)
theorem dvd.antisymm {m n : ℕ} : (m | n) → (n | m) → m = n :=
by_cases_zero_pos n
(assume H1, assume H2 : (0 | m), eq_zero_of_zero_dvd H2)
(take n,
assume Hpos : n > 0,
assume H1 : (m | n),
assume H2 : (n | m),
obtain k (Hk : n = m * k), from exists_eq_mul_right_of_dvd H1,
obtain l (Hl : m = n * l), from exists_eq_mul_right_of_dvd H2,
have H3 : n * (l * k) = n, from !mul.assoc ▸ Hl ▸ Hk⁻¹,
have H4 : l * k = 1, from eq_one_of_mul_eq_self_right Hpos H3,
have H5 : k = 1, from eq_one_of_mul_eq_one_left H4,
show m = n, from (mul_one m)⁻¹ ⬝ (H5 ▸ Hk⁻¹))
theorem mul_div_assoc (m : ℕ) {n k : ℕ} (H : (k | n)) : m * n div k = m * (n div k) :=
or.elim (eq_zero_or_pos k)
(assume H1 : k = 0,
calc
m * n div k = m * n div 0 : H1
... = 0 : div_zero
... = m * 0 : mul_zero m
... = m * (n div 0) : div_zero
... = m * (n div k) : H1)
(assume H1 : k > 0,
have H2 : n = n div k * k, from (div_mul_cancel H)⁻¹,
calc
m * n div k = m * (n div k * k) div k : H2
... = m * (n div k) * k div k : mul.assoc
... = m * (n div k) : mul_div_cancel _ H1)
theorem dvd_of_mul_dvd_mul_left {m n k : ℕ} (kpos : k > 0) (H : (k * m | k * n)) : (m | n) :=
dvd.elim H
(take l,
assume H1 : k * n = k * m * l,
have H2 : n = m * l, from eq_of_mul_eq_mul_left kpos (H1 ⬝ !mul.assoc),
dvd.intro H2⁻¹)
theorem dvd_of_mul_dvd_mul_right {m n k : ℕ} (kpos : k > 0) (H : (m * k | n * k)) : (m | n) :=
dvd_of_mul_dvd_mul_left kpos (!mul.comm ▸ !mul.comm ▸ H)
theorem div_dvd_div {k m n : ℕ} (H1 : (k | m)) (H2 : (m | n)) : (m div k | n div k) :=
have H3 : m = m div k * k, from (div_mul_cancel H1)⁻¹,
have H4 : n = n div k * k, from (div_mul_cancel (dvd.trans H1 H2))⁻¹,
or.elim (eq_zero_or_pos k)
(assume H5 : k = 0,
have H6: n div k = 0, from (congr_arg _ H5 ⬝ !div_zero),
H6⁻¹ ▸ !dvd_zero)
(assume H5 : k > 0,
dvd_of_mul_dvd_mul_right H5 (H3 ▸ H4 ▸ H2))
/- gcd -/
private definition pair_nat.lt : nat × nat → nat × nat → Prop := measure pr₂
private definition pair_nat.lt.wf : well_founded pair_nat.lt :=
intro_k (measure.wf pr₂) 20 -- we use intro_k to be able to execute gcd efficiently in the kernel
local attribute pair_nat.lt.wf [instance] -- instance will not be saved in .olean
local infixl `≺`:50 := pair_nat.lt
private definition gcd.lt.dec (x y₁ : nat) : (succ y₁, x mod succ y₁) ≺ (x, succ y₁) :=
mod_lt (succ_pos y₁)
definition gcd.F (p₁ : nat × nat) : (Π p₂ : nat × nat, p₂ ≺ p₁ → nat) → nat :=
prod.cases_on p₁ (λx y, nat.cases_on y
(λ f, x)
(λ y₁ (f : Πp₂, p₂ ≺ (x, succ y₁) → nat), f (succ y₁, x mod succ y₁) !gcd.lt.dec))
definition gcd (x y : nat) := fix gcd.F (pair x y)
theorem gcd_zero_right (x : nat) : gcd x 0 = x :=
well_founded.fix_eq gcd.F (x, 0)
theorem gcd_succ (x y : nat) : gcd x (succ y) = gcd (succ y) (x mod succ y) :=
well_founded.fix_eq gcd.F (x, succ y)
theorem gcd_one_right (n : ℕ) : gcd n 1 = 1 :=
calc gcd n 1 = gcd 1 (n mod 1) : gcd_succ n zero
... = gcd 1 0 : mod_one
... = 1 : gcd_zero_right
theorem gcd_def (x y : ℕ) : gcd x y = if y = 0 then x else gcd y (x mod y) :=
nat.cases_on y
(calc gcd x 0 = x : gcd_zero_right x
... = if 0 = 0 then x else gcd zero (x mod zero) : (if_pos rfl)⁻¹)
(λy₁, calc
gcd x (succ y₁) = gcd (succ y₁) (x mod succ y₁) : gcd_succ x y₁
... = if succ y₁ = 0 then x else gcd (succ y₁) (x mod succ y₁) : (if_neg (succ_ne_zero y₁))⁻¹)
theorem gcd_self (n : ℕ) : gcd n n = n :=
nat.cases_on n
rfl
(λn₁, calc
gcd (succ n₁) (succ n₁) = gcd (succ n₁) (succ n₁ mod succ n₁) : gcd_succ (succ n₁) n₁
... = gcd (succ n₁) 0 : mod_self (succ n₁)
... = succ n₁ : gcd_zero_right)
theorem gcd_zero_left (n : nat) : gcd 0 n = n :=
nat.cases_on n
rfl
(λ n₁, calc
gcd 0 (succ n₁) = gcd (succ n₁) (0 mod succ n₁) : gcd_succ
... = gcd (succ n₁) 0 : zero_mod
... = (succ n₁) : gcd_zero_right)
theorem gcd_rec_of_pos (m : ℕ) {n : ℕ} (H : n > 0) : gcd m n = gcd n (m mod n) :=
gcd_def m n ⬝ if_neg (ne_zero_of_pos H)
theorem gcd_rec (m n : ℕ) : gcd m n = gcd n (m mod n) :=
by_cases_zero_pos n
(calc
gcd m 0 = m : gcd_zero_right
... = gcd 0 m : gcd_zero_left
... = gcd 0 (m mod 0) : mod_zero)
(take n, assume H : 0 < n, gcd_rec_of_pos m H)
theorem gcd.induction {P : ℕ → ℕ → Prop}
(m n : ℕ)
(H0 : ∀m, P m 0)
(H1 : ∀m n, 0 < n → P n (m mod n) → P m n) :
P m n :=
let Q : nat × nat → Prop := λ p : nat × nat, P (pr₁ p) (pr₂ p) in
have aux : Q (m, n), from
well_founded.induction (m, n) (λp, prod.cases_on p
(λm n, nat.cases_on n
(λ ih, show P (pr₁ (m, 0)) (pr₂ (m, 0)), from H0 m)
(λ n₁ (ih : ∀p₂, p₂ ≺ (m, succ n₁) → P (pr₁ p₂) (pr₂ p₂)),
have hlt₁ : 0 < succ n₁, from succ_pos n₁,
have hlt₂ : (succ n₁, m mod succ n₁) ≺ (m, succ n₁), from gcd.lt.dec _ _,
have hp : P (succ n₁) (m mod succ n₁), from ih _ hlt₂,
show P m (succ n₁), from
H1 m (succ n₁) hlt₁ hp))),
aux
theorem gcd_dvd (m n : ℕ) : (gcd m n | m) ∧ (gcd m n | n) :=
gcd.induction m n
(take m,
show (gcd m 0 | m) ∧ (gcd m 0 | 0), by simp)
(take m n,
assume npos : 0 < n,
assume IH : (gcd n (m mod n) | n) ∧ (gcd n (m mod n) | (m mod n)),
have H : (gcd n (m mod n) | (m div n * n + m mod n)), from
dvd_add (dvd.trans (and.elim_left IH) !dvd_mul_left) (and.elim_right IH),
have H1 : (gcd n (m mod n) | m), from eq_div_mul_add_mod⁻¹ ▸ H,
have gcd_eq : gcd n (m mod n) = gcd m n, from !gcd_rec⁻¹,
show (gcd m n | m) ∧ (gcd m n | n), from gcd_eq ▸ (and.intro H1 (and.elim_left IH)))
theorem gcd_dvd_left (m n : ℕ) : (gcd m n | m) := and.elim_left !gcd_dvd
theorem gcd_dvd_right (m n : ℕ) : (gcd m n | n) := and.elim_right !gcd_dvd
theorem dvd_gcd {m n k : ℕ} : (k | m) → (k | n) → (k | gcd m n) :=
gcd.induction m n
(take m, assume (h₁ : (k | m)) (h₂ : (k | 0)),
show (k | gcd m 0), from !gcd_zero_right⁻¹ ▸ h₁)
(take m n,
assume npos : n > 0,
assume IH : (k | n) → (k | m mod n) → (k | gcd n (m mod n)),
assume H1 : (k | m),
assume H2 : (k | n),
have H3 : (k | m div n * n + m mod n), from eq_div_mul_add_mod ▸ H1,
have H4 : (k | m mod n), from nat.dvd_of_dvd_add_left H3 (dvd.trans H2 (by simp)),
have gcd_eq : gcd n (m mod n) = gcd m n, from !gcd_rec⁻¹,
show (k | gcd m n), from gcd_eq ▸ IH H2 H4)
theorem gcd.comm (m n : ℕ) : gcd m n = gcd n m :=
dvd.antisymm
(dvd_gcd !gcd_dvd_right !gcd_dvd_left)
(dvd_gcd !gcd_dvd_right !gcd_dvd_left)
theorem gcd.assoc (m n k : ℕ) : gcd (gcd m n) k = gcd m (gcd n k) :=
dvd.antisymm
(dvd_gcd
(dvd.trans !gcd_dvd_left !gcd_dvd_left)
(dvd_gcd (dvd.trans !gcd_dvd_left !gcd_dvd_right) !gcd_dvd_right))
(dvd_gcd
(dvd_gcd !gcd_dvd_left (dvd.trans !gcd_dvd_right !gcd_dvd_left))
(dvd.trans !gcd_dvd_right !gcd_dvd_right))
theorem gcd_one_left (m : ℕ) : gcd 1 m = 1 :=
!gcd.comm ⬝ !gcd_one_right
theorem gcd_mul_left (m n k : ℕ) : gcd (m * n) (m * k) = m * gcd n k :=
gcd.induction n k
(take n,
calc
gcd (m * n) (m * 0) = gcd (m * n) 0 : mul_zero
... = m * n : gcd_zero_right
... = m * gcd n 0 : gcd_zero_right)
(take n k,
assume H : 0 < k,
assume IH : gcd (m * k) (m * (n mod k)) = m * gcd k (n mod k),
calc
gcd (m * n) (m * k) = gcd (m * k) (m * n mod (m * k)) : !gcd_rec
... = gcd (m * k) (m * (n mod k)) : mul_mod_mul_left
... = m * gcd k (n mod k) : IH
... = m * gcd n k : !gcd_rec)
theorem gcd_mul_right (m n k : ℕ) : gcd (m * n) (k * n) = gcd m k * n :=
calc
gcd (m * n) (k * n) = gcd (n * m) (k * n) : mul.comm
... = gcd (n * m) (n * k) : mul.comm
... = n * gcd m k : gcd_mul_left
... = gcd m k * n : mul.comm
theorem gcd_pos_of_pos_left {m : ℕ} (n : ℕ) (mpos : m > 0) : gcd m n > 0 :=
pos_of_dvd_of_pos !gcd_dvd_left mpos
theorem gcd_pos_of_pos_right (m : ℕ) {n : ℕ} (npos : n > 0) : gcd m n > 0 :=
pos_of_dvd_of_pos !gcd_dvd_right npos
theorem eq_zero_of_gcd_eq_zero_left {m n : ℕ} (H : gcd m n = 0) : m = 0 :=
or.elim (eq_zero_or_pos m)
(assume H1, H1)
(assume H1 : m > 0, absurd H⁻¹ (ne_of_lt (!gcd_pos_of_pos_left H1)))
theorem eq_zero_of_gcd_eq_zero_right {m n : ℕ} (H : gcd m n = 0) : n = 0 :=
eq_zero_of_gcd_eq_zero_left (!gcd.comm ▸ H)
theorem gcd_div {m n k : ℕ} (H1 : (k | m)) (H2 : (k | n)) : gcd (m div k) (n div k) = gcd m n div k :=
or.elim (eq_zero_or_pos k)
(assume H3 : k = 0,
calc
gcd (m div k) (n div k) = gcd (m div 0) (n div k) : H3
... = gcd 0 (n div k) : div_zero
... = n div k : gcd_zero_left
... = n div 0 : H3
... = 0 : div_zero
... = gcd m n div 0 : div_zero
... = gcd m n div k : H3)
(assume H3 : k > 0,
eq_div_of_mul_eq H3
(calc
gcd (m div k) (n div k) * k = gcd (m div k * k) (n div k * k) : gcd_mul_right
... = gcd m (n div k * k) : div_mul_cancel H1
... = gcd m n : div_mul_cancel H2))
theorem gcd_dvd_gcd_mul_left (m n k : ℕ) : (gcd m n | gcd (k * m) n) :=
dvd_gcd (dvd.trans !gcd_dvd_left !dvd_mul_left) !gcd_dvd_right
theorem gcd_dvd_gcd_mul_right (m n k : ℕ) : (gcd m n | gcd (m * k) n) :=
!mul.comm ▸ !gcd_dvd_gcd_mul_left
theorem gcd_dvd_gcd_mul_left_right (m n k : ℕ) : (gcd m n | gcd m (k * n)) :=
dvd_gcd !gcd_dvd_left (dvd.trans !gcd_dvd_right !dvd_mul_left)
theorem gcd_dvd_gcd_mul_right_right (m n k : ℕ) : (gcd m n | gcd m (n * k)) :=
!mul.comm ▸ !gcd_dvd_gcd_mul_left_right
/- lcm -/
definition lcm (m n : ℕ) : ℕ := m * n div (gcd m n)
theorem lcm.comm (m n : ℕ) : lcm m n = lcm n m :=
calc
lcm m n = m * n div gcd m n : rfl
... = n * m div gcd m n : mul.comm
... = n * m div gcd n m : gcd.comm
... = lcm n m : rfl
theorem lcm_zero_left (m : ℕ) : lcm 0 m = 0 :=
calc
lcm 0 m = 0 * m div gcd 0 m : rfl
... = 0 div gcd 0 m : zero_mul
... = 0 : zero_div
theorem lcm_zero_right (m : ℕ) : lcm m 0 = 0 := !lcm.comm ▸ !lcm_zero_left
theorem lcm_one_left (m : ℕ) : lcm 1 m = m :=
calc
lcm 1 m = 1 * m div gcd 1 m : rfl
... = m div gcd 1 m : one_mul
... = m div 1 : gcd_one_left
... = m : div_one
theorem lcm_one_right (m : ℕ) : lcm m 1 = m := !lcm.comm ▸ !lcm_one_left
theorem lcm_self (m : ℕ) : lcm m m = m :=
have H : m * m div m = m, from
by_cases_zero_pos m !div_zero (take m, assume H1 : m > 0, !mul_div_cancel H1),
calc
lcm m m = m * m div gcd m m : rfl
... = m * m div m : gcd_self
... = m : H
theorem dvd_lcm_left (m n : ℕ) : (m | lcm m n) :=
have H : lcm m n = m * (n div gcd m n), from mul_div_assoc _ !gcd_dvd_right,
dvd.intro H⁻¹
theorem dvd_lcm_right (m n : ℕ) : (n | lcm m n) :=
!lcm.comm ▸ !dvd_lcm_left
theorem gcd_mul_lcm (m n : ℕ) : gcd m n * lcm m n = m * n :=
eq.symm (eq_mul_of_div_eq (dvd.trans !gcd_dvd_left !dvd_mul_right) rfl)
theorem lcm_dvd {m n k : ℕ} (H1 : (m | k)) (H2 : (n | k)) : (lcm m n | k) :=
or.elim (eq_zero_or_pos k)
(assume kzero : k = 0, !kzero⁻¹ ▸ !dvd_zero)
(assume kpos : k > 0,
have mpos : m > 0, from pos_of_dvd_of_pos H1 kpos,
have npos : n > 0, from pos_of_dvd_of_pos H2 kpos,
have gcd_pos : gcd m n > 0, from !gcd_pos_of_pos_left mpos,
obtain p (km : k = m * p), from exists_eq_mul_right_of_dvd H1,
obtain q (kn : k = n * q), from exists_eq_mul_right_of_dvd H2,
have ppos : p > 0, from pos_of_mul_pos_left (km ▸ kpos),
have qpos : q > 0, from pos_of_mul_pos_left (kn ▸ kpos),
have H3 : p * q * (m * n * gcd p q) = p * q * (gcd m n * k), from
calc
p * q * (m * n * gcd p q) = p * (q * (m * n * gcd p q)) : mul.assoc
... = p * (q * (m * (n * gcd p q))) : mul.assoc
... = p * (m * (q * (n * gcd p q))) : mul.left_comm
... = p * m * (q * (n * gcd p q)) : mul.assoc
... = p * m * (q * n * gcd p q) : mul.assoc
... = m * p * (q * n * gcd p q) : mul.comm
... = k * (q * n * gcd p q) : km
... = k * (n * q * gcd p q) : mul.comm
... = k * (k * gcd p q) : kn
... = k * gcd (k * p) (k * q) : gcd_mul_left
... = k * gcd (n * q * p) (k * q) : kn
... = k * gcd (n * q * p) (m * p * q) : km
... = k * gcd (n * (q * p)) (m * p * q) : mul.assoc
... = k * gcd (n * (q * p)) (m * (p * q)) : mul.assoc
... = k * gcd (n * (p * q)) (m * (p * q)) : mul.comm
... = k * (gcd n m * (p * q)) : gcd_mul_right
... = gcd n m * (p * q) * k : mul.comm
... = p * q * gcd n m * k : mul.comm
... = p * q * (gcd n m * k) : mul.assoc
... = p * q * (gcd m n * k) : gcd.comm,
have H4 : m * n * gcd p q = gcd m n * k,
from !eq_of_mul_eq_mul_left (mul_pos ppos qpos) H3,
have H5 : gcd m n * (lcm m n * gcd p q) = gcd m n * k,
from !mul.assoc ▸ !gcd_mul_lcm⁻¹ ▸ H4,
have H6 : lcm m n * gcd p q = k,
from !eq_of_mul_eq_mul_left gcd_pos H5,
dvd.intro H6)
theorem lcm_assoc (m n k : ℕ) : lcm (lcm m n) k = lcm m (lcm n k) :=
dvd.antisymm
(lcm_dvd
(lcm_dvd !dvd_lcm_left (dvd.trans !dvd_lcm_left !dvd_lcm_right))
(dvd.trans !dvd_lcm_right !dvd_lcm_right))
(lcm_dvd
(dvd.trans !dvd_lcm_left !dvd_lcm_left)
(lcm_dvd (dvd.trans !dvd_lcm_right !dvd_lcm_left) !dvd_lcm_right))
/- coprime -/
definition coprime [reducible] (m n : ℕ) : Prop := gcd m n = 1
theorem coprime_swap {m n : ℕ} (H : coprime n m) : coprime m n :=
!gcd.comm ▸ H
theorem dvd_of_coprime_of_dvd_mul_right {m n k : ℕ} (H1 : coprime k n) (H2 : (k | m * n)) : (k | m) :=
have H3 : gcd (m * k) (m * n) = m, from
calc
gcd (m * k) (m * n) = m * gcd k n : gcd_mul_left
... = m * 1 : H1
... = m : mul_one,
have H4 : (k | gcd (m * k) (m * n)), from dvd_gcd !dvd_mul_left H2,
H3 ▸ H4
theorem dvd_of_coprime_of_dvd_mul_left {m n k : ℕ} (H1 : coprime k m) (H2 : (k | m * n)) : (k | n) :=
dvd_of_coprime_of_dvd_mul_right H1 (!mul.comm ▸ H2)
theorem gcd_mul_left_cancel_of_coprime {k : ℕ} (m : ℕ) {n : ℕ} (H : coprime k n) :
gcd (k * m) n = gcd m n :=
have H1 : coprime (gcd (k * m) n) k, from
calc
gcd (gcd (k * m) n) k = gcd k (gcd (k * m) n) : gcd.comm
... = gcd (gcd k (k * m)) n : gcd.assoc
... = gcd (gcd (k * 1) (k * m)) n : mul_one
... = gcd (k * gcd 1 m) n : gcd_mul_left
... = gcd (k * 1) n : gcd_one_left
... = gcd k n : mul_one
... = 1 : H,
dvd.antisymm
(dvd_gcd (dvd_of_coprime_of_dvd_mul_left H1 !gcd_dvd_left) !gcd_dvd_right)
(dvd_gcd (dvd.trans !gcd_dvd_left !dvd_mul_left) !gcd_dvd_right)
theorem gcd_mul_right_cancel_of_coprime (m : ℕ) {k n : ℕ} (H : coprime k n) :
gcd (m * k) n = gcd m n :=
!mul.comm ▸ !gcd_mul_left_cancel_of_coprime H
theorem gcd_mul_left_cancel_of_coprime_right {k m : ℕ} (n : ℕ) (H : coprime k m) :
gcd m (k * n) = gcd m n :=
!gcd.comm ▸ !gcd.comm ▸ !gcd_mul_left_cancel_of_coprime H
theorem gcd_mul_right_cancel_of_coprime_right {k m : ℕ} (n : ℕ) (H : coprime k m) :
gcd m (n * k) = gcd m n :=
!gcd.comm ▸ !gcd.comm ▸ !gcd_mul_right_cancel_of_coprime H
theorem coprime_div_gcd_div_gcd {m n : ℕ} (H : gcd m n > 0) :
coprime (m div gcd m n) (n div gcd m n) :=
calc
gcd (m div gcd m n) (n div gcd m n) = gcd m n div gcd m n : gcd_div !gcd_dvd_left !gcd_dvd_right
... = 1 : div_self H
theorem exists_coprime {m n : ℕ} (H : gcd m n > 0) :
exists m' n', coprime m' n' ∧ m = m' * gcd m n ∧ n = n' * gcd m n :=
have H1 : m = (m div gcd m n) * gcd m n, from (div_mul_cancel !gcd_dvd_left)⁻¹,
have H2 : n = (n div gcd m n) * gcd m n, from (div_mul_cancel !gcd_dvd_right)⁻¹,
exists.intro _ (exists.intro _ (and.intro (coprime_div_gcd_div_gcd H) (and.intro H1 H2)))
theorem coprime_mul {m n k : ℕ} (H1 : coprime m k) (H2 : coprime n k) : coprime (m * n) k :=
calc
gcd (m * n) k = gcd n k : !gcd_mul_left_cancel_of_coprime H1
... = 1 : H2
theorem coprime_mul_right {k m n : ℕ} (H1 : coprime k m) (H2 : coprime k n) : coprime k (m * n) :=
coprime_swap (coprime_mul (coprime_swap H1) (coprime_swap H2))
theorem coprime_of_coprime_mul_left {k m n : ℕ} (H : coprime (k * m) n) : coprime m n :=
have H1 : (gcd m n | gcd (k * m) n), from !gcd_dvd_gcd_mul_left,
eq_one_of_dvd_one (H ▸ H1)
theorem coprime_of_coprime_mul_right {k m n : ℕ} (H : coprime (m * k) n) : coprime m n :=
coprime_of_coprime_mul_left (!mul.comm ▸ H)
theorem coprime_of_coprime_mul_left_right {k m n : ℕ} (H : coprime m (k * n)) : coprime m n :=
coprime_swap (coprime_of_coprime_mul_left (coprime_swap H))
theorem coprime_of_coprime_mul_right_right {k m n : ℕ} (H : coprime m (n * k)) : coprime m n :=
coprime_of_coprime_mul_left_right (!mul.comm ▸ H)
theorem exists_eq_prod_and_dvd_and_dvd {m n k} (H : (k | m * n)) :
∃ m' n', k = m' * n' ∧ (m' | m) ∧ (n' | n) :=
or.elim (eq_zero_or_pos (gcd k m))
(assume H1 : gcd k m = 0,
have H2 : k = 0, from eq_zero_of_gcd_eq_zero_left H1,
have H3 : m = 0, from eq_zero_of_gcd_eq_zero_right H1,
have H4 : k = 0 * n, from H2 ⬝ !zero_mul⁻¹,
have H5 : (0 | m), from H3⁻¹ ▸ !dvd.refl,
have H6 : (n | n), from !dvd.refl,
exists.intro _ (exists.intro _ (and.intro H4 (and.intro H5 H6))))
(assume H1 : gcd k m > 0,
have H2 : (gcd k m | k), from !gcd_dvd_left,
have H3 : (k div gcd k m | (m * n) div gcd k m), from div_dvd_div H2 H,
have H4 : (m * n) div gcd k m = (m div gcd k m) * n, from
calc
m * n div gcd k m = n * m div gcd k m : mul.comm
... = n * (m div gcd k m) : !mul_div_assoc !gcd_dvd_right
... = m div gcd k m * n : mul.comm,
have H5 : (k div gcd k m | (m div gcd k m) * n), from H4 ▸ H3,
have H6 : coprime (k div gcd k m) (m div gcd k m), from coprime_div_gcd_div_gcd H1,
have H7 : (k div gcd k m | n), from dvd_of_coprime_of_dvd_mul_left H6 H5,
have H8 : k = gcd k m * (k div gcd k m), from (mul_div_cancel' H2)⁻¹,
exists.intro _ (exists.intro _ (and.intro H8 (and.intro !gcd_dvd_right H7))))
end nat
|
fc6f1c438ae7e116483cfe13355c5effbcb5490d | d642a6b1261b2cbe691e53561ac777b924751b63 | /src/measure_theory/measurable_space.lean | e241a926030f5784f8cf79211f85b5cd8095cec1 | [
"Apache-2.0"
] | permissive | cipher1024/mathlib | fee56b9954e969721715e45fea8bcb95f9dc03fe | d077887141000fefa5a264e30fa57520e9f03522 | refs/heads/master | 1,651,806,490,504 | 1,573,508,694,000 | 1,573,508,694,000 | 107,216,176 | 0 | 0 | Apache-2.0 | 1,647,363,136,000 | 1,508,213,014,000 | Lean | UTF-8 | Lean | false | false | 42,854 | lean | /-
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
Measurable spaces -- σ-algberas
-/
import data.set.disjointed order.galois_connection data.set.countable
/-!
# Measurable spaces and measurable functions
This file defines measurable spaces and the functions and isomorphisms
between them.
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.
A measurable equivalence between measurable spaces is an equivalence
which respects the σ-algebras, that is, for which both directions of
the equivalence are measurable functions.
## Main statements
The main theorem of this file is Dynkin's π-λ theorem, which appears
here as an induction principle `induction_on_inter`. Suppose s is a
collection of subsets of α such that the intersection of two members
of s belongs to s whenever it is nonempty. Let m be the σ-algebra
generated by s. In order to check that a predicate C holds on every
member of m, it suffices to check that C holds on the members of s and
that C is preserved by complementation and *disjoint* countable
unions.
## 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, measurable function, dynkin system
-/
local attribute [instance] classical.prop_decidable
open set lattice encodable
open_locale classical
universes u v w x
variables {α : Type u} {β : Type v} {γ : Type w} {δ : Type x} {ι : Sort x}
{s t u : set α}
structure measurable_space (α : Type u) :=
(is_measurable : set α → Prop)
(is_measurable_empty : is_measurable ∅)
(is_measurable_compl : ∀s, is_measurable s → is_measurable (- s))
(is_measurable_Union : ∀f:ℕ → set α, (∀i, is_measurable (f i)) → is_measurable (⋃i, f i))
attribute [class] measurable_space
section
variable [measurable_space α]
/-- `is_measurable s` means that `s` is measurable (in the ambient measure space on `α`) -/
def is_measurable : set α → Prop := ‹measurable_space α›.is_measurable
lemma is_measurable.empty : is_measurable (∅ : set α) :=
‹measurable_space α›.is_measurable_empty
lemma is_measurable.compl : is_measurable s → is_measurable (-s) :=
‹measurable_space α›.is_measurable_compl s
lemma is_measurable.compl_iff : is_measurable (-s) ↔ is_measurable s :=
⟨λ h, by simpa using h.compl, is_measurable.compl⟩
lemma is_measurable.univ : is_measurable (univ : set α) :=
by simpa using (@is_measurable.empty α _).compl
lemma encodable.Union_decode2 {α} [encodable β] (f : β → set α) :
(⋃ b, f b) = ⋃ (i : ℕ) (b ∈ decode2 β i), f b :=
ext $ by simp [mem_decode2, exists_swap]
@[elab_as_eliminator] lemma encodable.Union_decode2_cases
{α} [encodable β] {f : β → set α} {C : set α → Prop}
(H0 : C ∅) (H1 : ∀ b, C (f b)) {n} :
C (⋃ b ∈ decode2 β n, f b) :=
match decode2 β n with
| none := by simp; apply H0
| (some b) := by convert H1 b; simp [ext_iff]
end
lemma is_measurable.Union [encodable β] {f : β → set α} (h : ∀b, is_measurable (f b)) :
is_measurable (⋃b, f b) :=
by rw encodable.Union_decode2; exact
‹measurable_space α›.is_measurable_Union
(λ n, ⋃ b ∈ decode2 β n, f b)
(λ n, encodable.Union_decode2_cases is_measurable.empty h)
lemma is_measurable.bUnion {f : β → set α} {s : set β} (hs : countable s)
(h : ∀b∈s, is_measurable (f b)) : is_measurable (⋃b∈s, f b) :=
begin
rw bUnion_eq_Union,
haveI := hs.to_encodable,
exact is_measurable.Union (by simpa using h)
end
lemma is_measurable.sUnion {s : set (set α)} (hs : countable s) (h : ∀t∈s, is_measurable t) :
is_measurable (⋃₀ s) :=
by rw sUnion_eq_bUnion; exact is_measurable.bUnion hs h
lemma is_measurable.Union_Prop {p : Prop} {f : p → set α} (hf : ∀b, is_measurable (f b)) :
is_measurable (⋃b, f b) :=
by by_cases p; simp [h, hf, is_measurable.empty]
lemma is_measurable.Inter [encodable β] {f : β → set α} (h : ∀b, is_measurable (f b)) :
is_measurable (⋂b, f b) :=
is_measurable.compl_iff.1 $
by rw compl_Inter; exact is_measurable.Union (λ b, (h b).compl)
lemma is_measurable.bInter {f : β → set α} {s : set β} (hs : countable s)
(h : ∀b∈s, is_measurable (f b)) : is_measurable (⋂b∈s, f b) :=
is_measurable.compl_iff.1 $
by rw compl_bInter; exact is_measurable.bUnion hs (λ b hb, (h b hb).compl)
lemma is_measurable.sInter {s : set (set α)} (hs : countable s) (h : ∀t∈s, is_measurable t) :
is_measurable (⋂₀ s) :=
by rw sInter_eq_bInter; exact is_measurable.bInter hs h
lemma is_measurable.Inter_Prop {p : Prop} {f : p → set α} (hf : ∀b, is_measurable (f b)) :
is_measurable (⋂b, f b) :=
by by_cases p; simp [h, hf, is_measurable.univ]
lemma is_measurable.union {s₁ s₂ : set α}
(h₁ : is_measurable s₁) (h₂ : is_measurable s₂) : is_measurable (s₁ ∪ s₂) :=
by rw union_eq_Union; exact
is_measurable.Union (bool.forall_bool.2 ⟨h₂, h₁⟩)
lemma is_measurable.inter {s₁ s₂ : set α}
(h₁ : is_measurable s₁) (h₂ : is_measurable s₂) : is_measurable (s₁ ∩ s₂) :=
by rw inter_eq_compl_compl_union_compl; exact
(h₁.compl.union h₂.compl).compl
lemma is_measurable.diff {s₁ s₂ : set α}
(h₁ : is_measurable s₁) (h₂ : is_measurable s₂) : is_measurable (s₁ \ s₂) :=
h₁.inter h₂.compl
lemma is_measurable.sub {s₁ s₂ : set α} :
is_measurable s₁ → is_measurable s₂ → is_measurable (s₁ - s₂) :=
is_measurable.diff
lemma is_measurable.disjointed {f : ℕ → set α} (h : ∀i, is_measurable (f i)) (n) :
is_measurable (disjointed f n) :=
disjointed_induct (h n) (assume t i ht, is_measurable.diff ht $ h _)
lemma is_measurable.const (p : Prop) : is_measurable {a : α | p} :=
by by_cases p; simp [h, is_measurable.empty]; apply is_measurable.univ
end
@[ext] lemma measurable_space.ext :
∀{m₁ m₂ : measurable_space α}, (∀s:set α, m₁.is_measurable s ↔ m₂.is_measurable s) → m₁ = m₂
| ⟨s₁, _, _, _⟩ ⟨s₂, _, _, _⟩ h :=
have s₁ = s₂, from funext $ assume x, propext $ h x,
by subst this
namespace measurable_space
section complete_lattice
instance : partial_order (measurable_space α) :=
{ le := λm₁ m₂, m₁.is_measurable ≤ m₂.is_measurable,
le_refl := assume a b, le_refl _,
le_trans := assume a b c, le_trans,
le_antisymm := assume a b h₁ h₂, measurable_space.ext $ assume s, ⟨h₁ s, h₂ s⟩ }
/-- The smallest σ-algebra containing a collection `s` of basic sets -/
inductive generate_measurable (s : set (set α)) : set α → Prop
| basic : ∀u∈s, generate_measurable u
| empty : generate_measurable ∅
| compl : ∀s, generate_measurable s → generate_measurable (-s)
| union : ∀f:ℕ → set α, (∀n, generate_measurable (f n)) → generate_measurable (⋃i, f i)
/-- Construct the smallest measure space containing a collection of basic sets -/
def generate_from (s : set (set α)) : measurable_space α :=
{ is_measurable := generate_measurable s,
is_measurable_empty := generate_measurable.empty s,
is_measurable_compl := generate_measurable.compl,
is_measurable_Union := generate_measurable.union }
lemma is_measurable_generate_from {s : set (set α)} {t : set α} (ht : t ∈ s) :
(generate_from s).is_measurable t :=
generate_measurable.basic t ht
lemma generate_from_le {s : set (set α)} {m : measurable_space α} (h : ∀t∈s, m.is_measurable t) :
generate_from s ≤ m :=
assume t (ht : generate_measurable s t), ht.rec_on h
(is_measurable_empty m)
(assume s _ hs, is_measurable_compl m s hs)
(assume f _ hf, is_measurable_Union m f hf)
lemma generate_from_le_iff {s : set (set α)} {m : measurable_space α} :
generate_from s ≤ m ↔ s ⊆ {t | m.is_measurable t} :=
iff.intro
(assume h u hu, h _ $ is_measurable_generate_from hu)
(assume h, generate_from_le h)
protected def mk_of_closure (g : set (set α)) (hg : {t | (generate_from g).is_measurable t} = g) :
measurable_space α :=
{ is_measurable := λs, s ∈ g,
is_measurable_empty := hg ▸ is_measurable_empty _,
is_measurable_compl := hg ▸ is_measurable_compl _,
is_measurable_Union := hg ▸ is_measurable_Union _ }
lemma mk_of_closure_sets {s : set (set α)}
{hs : {t | (generate_from s).is_measurable t} = s} :
measurable_space.mk_of_closure s hs = generate_from s :=
measurable_space.ext $ assume t, show t ∈ s ↔ _, by rw [← hs] {occs := occurrences.pos [1] }; refl
def gi_generate_from : galois_insertion (@generate_from α) (λm, {t | @is_measurable α m t}) :=
{ gc := assume s m, generate_from_le_iff,
le_l_u := assume m s, is_measurable_generate_from,
choice :=
λg hg, measurable_space.mk_of_closure g $ le_antisymm hg $ generate_from_le_iff.1 $ le_refl _,
choice_eq := assume g hg, mk_of_closure_sets }
instance : complete_lattice (measurable_space α) :=
gi_generate_from.lift_complete_lattice
instance : inhabited (measurable_space α) := ⟨⊤⟩
lemma is_measurable_bot_iff {s : set α} : @is_measurable α ⊥ s ↔ (s = ∅ ∨ s = univ) :=
let b : measurable_space α :=
{ is_measurable := λs, s = ∅ ∨ s = univ,
is_measurable_empty := or.inl rfl,
is_measurable_compl := by simp [or_imp_distrib] {contextual := tt},
is_measurable_Union := assume f hf, classical.by_cases
(assume h : ∃i, f i = univ,
let ⟨i, hi⟩ := h in
or.inr $ eq_univ_of_univ_subset $ hi ▸ le_supr f i)
(assume h : ¬ ∃i, f i = univ,
or.inl $ eq_empty_of_subset_empty $ Union_subset $ assume i,
(hf i).elim (by simp {contextual := tt}) (assume hi, false.elim $ h ⟨i, hi⟩)) } in
have b = ⊥, from bot_unique $ assume s hs,
hs.elim (assume s, s.symm ▸ @is_measurable_empty _ ⊥) (assume s, s.symm ▸ @is_measurable.univ _ ⊥),
this ▸ iff.refl _
@[simp] theorem is_measurable_top {s : set α} : @is_measurable _ ⊤ s := trivial
@[simp] theorem is_measurable_inf {m₁ m₂ : measurable_space α} {s : set α} :
@is_measurable _ (m₁ ⊓ m₂) s ↔ @is_measurable _ m₁ s ∧ @is_measurable _ m₂ s :=
iff.rfl
@[simp] theorem is_measurable_Inf {ms : set (measurable_space α)} {s : set α} :
@is_measurable _ (Inf ms) s ↔ ∀ m ∈ ms, @is_measurable _ m s :=
show s ∈ (⋂m∈ms, {t | @is_measurable _ m t }) ↔ _, by simp
@[simp] theorem is_measurable_infi {ι} {m : ι → measurable_space α} {s : set α} :
@is_measurable _ (infi m) s ↔ ∀ i, @is_measurable _ (m i) s :=
show s ∈ (λm, {s | @is_measurable _ m s }) (infi m) ↔ _, by rw (@gi_generate_from α).gc.u_infi; simp; refl
end complete_lattice
section functors
variables {m m₁ m₂ : measurable_space α} {m' : measurable_space β} {f : α → β} {g : β → α}
/-- The forward image of a measure 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 : measurable_space α) : measurable_space β :=
{ is_measurable := λs, m.is_measurable $ f ⁻¹' s,
is_measurable_empty := m.is_measurable_empty,
is_measurable_compl := assume s hs, m.is_measurable_compl _ hs,
is_measurable_Union := assume f hf, by rw [preimage_Union]; exact m.is_measurable_Union _ hf }
@[simp] lemma map_id : m.map id = m :=
measurable_space.ext $ assume s, iff.rfl
@[simp] lemma map_comp {f : α → β} {g : β → γ} : (m.map f).map g = m.map (g ∘ f) :=
measurable_space.ext $ assume s, iff.rfl
/-- The reverse image of a measure 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 : measurable_space β) : measurable_space α :=
{ is_measurable := λs, ∃s', m.is_measurable s' ∧ f ⁻¹' s' = s,
is_measurable_empty := ⟨∅, m.is_measurable_empty, rfl⟩,
is_measurable_compl := assume s ⟨s', h₁, h₂⟩, ⟨-s', m.is_measurable_compl _ h₁, h₂ ▸ rfl⟩,
is_measurable_Union := assume s hs,
let ⟨s', hs'⟩ := classical.axiom_of_choice hs in
⟨⋃i, s' i, m.is_measurable_Union _ (λi, (hs' i).left), by simp [hs'] ⟩ }
@[simp] lemma comap_id : m.comap id = m :=
measurable_space.ext $ assume s, ⟨assume ⟨s', hs', h⟩, h ▸ hs', assume h, ⟨s, h, rfl⟩⟩
@[simp] lemma comap_comp {f : β → α} {g : γ → β} : (m.comap f).comap g = m.comap (f ∘ g) :=
measurable_space.ext $ assume s,
⟨assume ⟨t, ⟨u, h, hu⟩, ht⟩, ⟨u, h, ht ▸ hu ▸ rfl⟩, assume ⟨t, h, ht⟩, ⟨f ⁻¹' t, ⟨_, h, rfl⟩, ht⟩⟩
lemma comap_le_iff_le_map {f : α → β} : m'.comap f ≤ m ↔ m' ≤ m.map f :=
⟨assume h s hs, h _ ⟨_, hs, rfl⟩, assume h s ⟨t, ht, heq⟩, heq ▸ h _ ht⟩
lemma gc_comap_map (f : α → β) :
galois_connection (measurable_space.comap f) (measurable_space.map f) :=
assume f g, comap_le_iff_le_map
lemma map_mono (h : m₁ ≤ m₂) : m₁.map f ≤ m₂.map f := (gc_comap_map f).monotone_u h
lemma monotone_map : monotone (measurable_space.map f) := assume a b h, map_mono h
lemma comap_mono (h : m₁ ≤ m₂) : m₁.comap g ≤ m₂.comap g := (gc_comap_map g).monotone_l h
lemma monotone_comap : monotone (measurable_space.comap g) := assume a b h, comap_mono h
@[simp] lemma comap_bot : (⊥:measurable_space α).comap g = ⊥ := (gc_comap_map g).l_bot
@[simp] lemma comap_sup : (m₁ ⊔ m₂).comap g = m₁.comap g ⊔ m₂.comap g := (gc_comap_map g).l_sup
@[simp] lemma comap_supr {m : ι → measurable_space α} :(⨆i, m i).comap g = (⨆i, (m i).comap g) :=
(gc_comap_map g).l_supr
@[simp] lemma map_top : (⊤:measurable_space α).map f = ⊤ := (gc_comap_map f).u_top
@[simp] lemma map_inf : (m₁ ⊓ m₂).map f = m₁.map f ⊓ m₂.map f := (gc_comap_map f).u_inf
@[simp] lemma map_infi {m : ι → measurable_space α} : (⨅i, m i).map f = (⨅i, (m i).map f) :=
(gc_comap_map f).u_infi
lemma comap_map_le : (m.map f).comap f ≤ m := (gc_comap_map f).l_u_le _
lemma le_map_comap : m ≤ (m.comap g).map g := (gc_comap_map g).le_u_l _
end functors
lemma generate_from_le_generate_from {s t : set (set α)} (h : s ⊆ t) :
generate_from s ≤ generate_from t :=
gi_generate_from.gc.monotone_l h
lemma generate_from_sup_generate_from {s t : set (set α)} :
generate_from s ⊔ generate_from t = generate_from (s ∪ t) :=
(@gi_generate_from α).gc.l_sup.symm
lemma comap_generate_from {f : α → β} {s : set (set β)} :
(generate_from s).comap f = generate_from (preimage f '' s) :=
le_antisymm
(comap_le_iff_le_map.2 $ generate_from_le $ assume t hts,
generate_measurable.basic _ $ mem_image_of_mem _ $ hts)
(generate_from_le $ assume t ⟨u, hu, eq⟩, eq ▸ ⟨u, generate_measurable.basic _ hu, rfl⟩)
end measurable_space
section measurable_functions
open measurable_space
/-- A function `f` between measurable spaces is measurable if the preimage of every
measurable set is measurable. -/
def measurable [m₁ : measurable_space α] [m₂ : measurable_space β] (f : α → β) : Prop :=
m₂ ≤ m₁.map f
lemma measurable_id [measurable_space α] : measurable (@id α) := le_refl _
lemma measurable.preimage [measurable_space α] [measurable_space β]
{f : α → β} (hf : measurable f) {s : set β} : is_measurable s → is_measurable (f ⁻¹' s) := hf _
lemma measurable.comp [measurable_space α] [measurable_space β] [measurable_space γ]
{g : β → γ} {f : α → β} (hg : measurable g) (hf : measurable f) : measurable (g ∘ f) :=
le_trans hg $ map_mono hf
lemma measurable_generate_from [measurable_space α] {s : set (set β)} {f : α → β}
(h : ∀t∈s, is_measurable (f ⁻¹' t)) : @measurable _ _ _ (generate_from s) f :=
generate_from_le h
lemma measurable.if [measurable_space α] [measurable_space β]
{p : α → Prop} {h : decidable_pred p} {f g : α → β}
(hp : is_measurable {a | p a}) (hf : measurable f) (hg : measurable g) :
measurable (λa, if p a then f a else g a) :=
λ s hs, show is_measurable {a | (if p a then f a else g a) ∈ s},
begin
convert (hp.inter $ hf s hs).union (hp.compl.inter $ hg s hs),
exact ext (λ a, by by_cases p a ; { rw mem_def, simp [h] })
end
lemma measurable_const {α β} [measurable_space α] [measurable_space β] {a : α} : measurable (λb:β, a) :=
assume s hs, show is_measurable {b : β | a ∈ s}, from
classical.by_cases
(assume h : a ∈ s, by simp [h]; from is_measurable.univ)
(assume h : a ∉ s, by simp [h]; from is_measurable.empty)
end measurable_functions
section constructions
instance : measurable_space empty := ⊤
instance : measurable_space unit := ⊤
instance : measurable_space bool := ⊤
instance : measurable_space ℕ := ⊤
instance : measurable_space ℤ := ⊤
lemma measurable_unit [measurable_space α] (f : unit → α) : measurable f :=
have f = (λu, f ()) := funext $ assume ⟨⟩, rfl,
by rw this; exact measurable_const
section nat
lemma measurable_from_nat [measurable_space α] {f : ℕ → α} : measurable f :=
assume s hs, show is_measurable {n : ℕ | f n ∈ s}, from trivial
lemma measurable_to_nat [measurable_space α] {f : α → ℕ} :
(∀ k, is_measurable {x | f x = k}) → measurable f :=
begin
assume h s hs, show is_measurable {x | f x ∈ s},
have : {x | f x ∈ s} = ⋃ (n ∈ s), {x | f x = n}, { ext, simp },
rw this, simp [is_measurable.Union, is_measurable.Union_Prop, h]
end
lemma measurable_find_greatest [measurable_space α] {p : ℕ → α → Prop} :
∀ {N}, (∀ k ≤ N, is_measurable {x | nat.find_greatest (λ n, p n x) N = k}) →
measurable (λ x, nat.find_greatest (λ n, p n x) N)
| 0 := assume h s hs, show is_measurable {x : α | (nat.find_greatest (λ n, p n x) 0) ∈ s},
begin
by_cases h : 0 ∈ s,
{ convert is_measurable.univ, simp only [nat.find_greatest_zero, h] },
{ convert is_measurable.empty, simp only [nat.find_greatest_zero, h], refl }
end
| (n + 1) := assume h,
begin
apply measurable_to_nat, assume k, by_cases hk : k ≤ n + 1,
{ exact h k hk },
{ have := is_measurable.empty, rw ← set_of_false at this, convert this, funext, rw eq_false,
assume h, rw ← h at hk, have := nat.find_greatest_le, contradiction }
end
end nat
section subtype
instance {p : α → Prop} [m : measurable_space α] : measurable_space (subtype p) :=
m.comap subtype.val
lemma measurable_subtype_val [measurable_space α] [measurable_space β] {p : β → Prop}
{f : α → subtype p} (hf : measurable f) : measurable (λa:α, (f a).val) :=
measurable.comp (measurable_space.comap_le_iff_le_map.mp (le_refl _)) hf
lemma measurable_subtype_mk [measurable_space α] [measurable_space β] {p : β → Prop}
{f : α → subtype p} (hf : measurable (λa, (f a).val)) : measurable f :=
measurable_space.comap_le_iff_le_map.mpr $ by rw [measurable_space.map_comp]; exact hf
lemma is_measurable_subtype_image [measurable_space α] {s : set α} {t : set s}
(hs : is_measurable s) : is_measurable t → is_measurable ((coe : s → α) '' t)
| ⟨u, (hu : is_measurable u), (eq : coe ⁻¹' u = t)⟩ :=
begin
rw [← eq, image_preimage_eq_inter_range, range_coe_subtype],
exact is_measurable.inter hu hs
end
lemma measurable_of_measurable_union_cover
[measurable_space α] [measurable_space β]
{f : α → β} (s t : set α) (hs : is_measurable s) (ht : is_measurable t) (h : univ ⊆ s ∪ t)
(hc : measurable (λa:s, f a)) (hd : measurable (λa:t, f a)) :
measurable f :=
assume u (hu : is_measurable u), show is_measurable (f ⁻¹' u), from
begin
rw show f ⁻¹' u = coe '' (coe ⁻¹' (f ⁻¹' u) : set s) ∪ coe '' (coe ⁻¹' (f ⁻¹' u) : set t),
by rw [image_preimage_eq_inter_range, image_preimage_eq_inter_range, range_coe_subtype, range_coe_subtype, ← inter_distrib_left, univ_subset_iff.1 h, inter_univ],
exact is_measurable.union
(is_measurable_subtype_image hs (hc _ hu))
(is_measurable_subtype_image ht (hd _ hu))
end
end subtype
section prod
instance [m₁ : measurable_space α] [m₂ : measurable_space β] : measurable_space (α × β) :=
m₁.comap prod.fst ⊔ m₂.comap prod.snd
lemma measurable_fst [measurable_space α] [measurable_space β] [measurable_space γ]
{f : α → β × γ} (hf : measurable f) : measurable (λa:α, (f a).1) :=
measurable.comp (measurable_space.comap_le_iff_le_map.mp le_sup_left) hf
lemma measurable_snd [measurable_space α] [measurable_space β] [measurable_space γ]
{f : α → β × γ} (hf : measurable f) : measurable (λa:α, (f a).2) :=
measurable.comp (measurable_space.comap_le_iff_le_map.mp le_sup_right) hf
lemma measurable.prod [measurable_space α] [measurable_space β] [measurable_space γ]
{f : α → β × γ} (hf₁ : measurable (λa, (f a).1)) (hf₂ : measurable (λa, (f a).2)) :
measurable f :=
sup_le
(by rw [measurable_space.comap_le_iff_le_map, measurable_space.map_comp]; exact hf₁)
(by rw [measurable_space.comap_le_iff_le_map, measurable_space.map_comp]; exact hf₂)
lemma measurable_prod_mk [measurable_space α] [measurable_space β] [measurable_space γ]
{f : α → β} {g : α → γ} (hf : measurable f) (hg : measurable g) : measurable (λa:α, (f a, g a)) :=
measurable.prod hf hg
lemma is_measurable_set_prod [measurable_space α] [measurable_space β] {s : set α} {t : set β}
(hs : is_measurable s) (ht : is_measurable t) : is_measurable (set.prod s t) :=
is_measurable.inter (measurable_fst measurable_id _ hs) (measurable_snd measurable_id _ ht)
end prod
section pi
instance measurable_space.pi {α : Type u} {β : α → Type v} [m : Πa, measurable_space (β a)] :
measurable_space (Πa, β a) :=
⨆a, (m a).comap (λb, b a)
lemma measurable_pi_apply {α : Type u} {β : α → Type v} [Πa, measurable_space (β a)] (a : α) :
measurable (λf:Πa, β a, f a) :=
measurable_space.comap_le_iff_le_map.1 $ lattice.le_supr _ a
lemma measurable_pi_lambda {α : Type u} {β : α → Type v} {γ : Type w}
[Πa, measurable_space (β a)] [measurable_space γ]
(f : γ → Πa, β a) (hf : ∀a, measurable (λc, f c a)) :
measurable f :=
lattice.supr_le $ assume a, measurable_space.comap_le_iff_le_map.2 (hf a)
end pi
instance [m₁ : measurable_space α] [m₂ : measurable_space β] : measurable_space (α ⊕ β) :=
m₁.map sum.inl ⊓ m₂.map sum.inr
section sum
variables [measurable_space α] [measurable_space β] [measurable_space γ]
lemma measurable_inl : measurable (@sum.inl α β) := inf_le_left
lemma measurable_inr : measurable (@sum.inr α β) := inf_le_right
lemma measurable_sum {f : α ⊕ β → γ}
(hl : measurable (f ∘ sum.inl)) (hr : measurable (f ∘ sum.inr)) : measurable f :=
measurable_space.comap_le_iff_le_map.1 $ le_inf
(measurable_space.comap_le_iff_le_map.2 $ hl)
(measurable_space.comap_le_iff_le_map.2 $ hr)
lemma measurable_sum_rec {f : α → γ} {g : β → γ}
(hf : measurable f) (hg : measurable g) : @measurable (α ⊕ β) γ _ _ (@sum.rec α β (λ_, γ) f g) :=
measurable_sum hf hg
lemma is_measurable_inl_image {s : set α} (hs : is_measurable s) :
is_measurable (sum.inl '' s : set (α ⊕ β)) :=
⟨show is_measurable (sum.inl ⁻¹' _), by rwa [preimage_image_eq]; exact (assume a b, sum.inl.inj),
have sum.inr ⁻¹' (sum.inl '' s : set (α ⊕ β)) = ∅ :=
eq_empty_of_subset_empty $ assume x ⟨y, hy, eq⟩, by contradiction,
show is_measurable (sum.inr ⁻¹' _), by rw [this]; exact is_measurable.empty⟩
lemma is_measurable_range_inl : is_measurable (range sum.inl : set (α ⊕ β)) :=
by rw [← image_univ]; exact is_measurable_inl_image is_measurable.univ
lemma is_measurable_inr_image {s : set β} (hs : is_measurable s) :
is_measurable (sum.inr '' s : set (α ⊕ β)) :=
⟨ have sum.inl ⁻¹' (sum.inr '' s : set (α ⊕ β)) = ∅ :=
eq_empty_of_subset_empty $ assume x ⟨y, hy, eq⟩, by contradiction,
show is_measurable (sum.inl ⁻¹' _), by rw [this]; exact is_measurable.empty,
show is_measurable (sum.inr ⁻¹' _), by rwa [preimage_image_eq]; exact (assume a b, sum.inr.inj)⟩
lemma is_measurable_range_inr : is_measurable (range sum.inr : set (α ⊕ β)) :=
by rw [← image_univ]; exact is_measurable_inr_image is_measurable.univ
end sum
instance {β : α → Type v} [m : Πa, measurable_space (β a)] : measurable_space (sigma β) :=
⨅a, (m a).map (sigma.mk a)
end constructions
/-- Equivalences between measurable spaces. Main application is the simplification of measurability
statements along measurable equivalences. -/
structure measurable_equiv (α β : Type*) [measurable_space α] [measurable_space β] extends α ≃ β :=
(measurable_to_fun : measurable to_fun)
(measurable_inv_fun : measurable inv_fun)
namespace measurable_equiv
instance (α β) [measurable_space α] [measurable_space β] : has_coe_to_fun (measurable_equiv α β) :=
⟨λ_, α → β, λe, e.to_equiv⟩
lemma coe_eq {α β} [measurable_space α] [measurable_space β] (e : measurable_equiv α β) :
(e : α → β) = e.to_equiv := rfl
def refl (α : Type*) [measurable_space α] : measurable_equiv α α :=
{ to_equiv := equiv.refl α,
measurable_to_fun := measurable_id, measurable_inv_fun := measurable_id }
def trans [measurable_space α] [measurable_space β] [measurable_space γ]
(ab : measurable_equiv α β) (bc : measurable_equiv β γ) :
measurable_equiv α γ :=
{ to_equiv := ab.to_equiv.trans bc.to_equiv,
measurable_to_fun := bc.measurable_to_fun.comp ab.measurable_to_fun,
measurable_inv_fun := ab.measurable_inv_fun.comp bc.measurable_inv_fun }
lemma trans_to_equiv {α β} [measurable_space α] [measurable_space β] [measurable_space γ]
(e : measurable_equiv α β) (f : measurable_equiv β γ) :
(e.trans f).to_equiv = e.to_equiv.trans f.to_equiv := rfl
def symm [measurable_space α] [measurable_space β] (ab : measurable_equiv α β) :
measurable_equiv β α :=
{ to_equiv := ab.to_equiv.symm,
measurable_to_fun := ab.measurable_inv_fun,
measurable_inv_fun := ab.measurable_to_fun }
lemma symm_to_equiv {α β} [measurable_space α] [measurable_space β] (e : measurable_equiv α β) :
e.symm.to_equiv = e.to_equiv.symm := rfl
protected def cast {α β} [i₁ : measurable_space α] [i₂ : measurable_space β]
(h : α = β) (hi : i₁ == i₂) : measurable_equiv α β :=
{ to_equiv := equiv.cast h,
measurable_to_fun := by unfreezeI; subst h; subst hi; exact measurable_id,
measurable_inv_fun := by unfreezeI; subst h; subst hi; exact measurable_id }
protected lemma measurable {α β} [measurable_space α] [measurable_space β]
(e : measurable_equiv α β) : measurable (e : α → β) :=
e.measurable_to_fun
protected lemma measurable_coe_iff {α β γ} [measurable_space α] [measurable_space β] [measurable_space γ]
{f : β → γ} (e : measurable_equiv α β) : measurable (f ∘ e) ↔ measurable f :=
iff.intro
(assume hfe,
have measurable (f ∘ (e.symm.trans e).to_equiv) := hfe.comp e.symm.measurable,
by rwa [trans_to_equiv, symm_to_equiv, equiv.symm_trans] at this)
(λh, h.comp e.measurable)
def prod_congr [measurable_space α] [measurable_space β] [measurable_space γ] [measurable_space δ]
(ab : measurable_equiv α β) (cd : measurable_equiv γ δ) :
measurable_equiv (α × γ) (β × δ) :=
{ to_equiv := equiv.prod_congr ab.to_equiv cd.to_equiv,
measurable_to_fun := measurable_prod_mk
(ab.measurable_to_fun.comp (measurable_fst measurable_id))
(cd.measurable_to_fun.comp (measurable_snd measurable_id)),
measurable_inv_fun := measurable_prod_mk
(ab.measurable_inv_fun.comp (measurable_fst measurable_id))
(cd.measurable_inv_fun.comp (measurable_snd measurable_id)) }
def prod_comm [measurable_space α] [measurable_space β] : measurable_equiv (α × β) (β × α) :=
{ to_equiv := equiv.prod_comm α β,
measurable_to_fun := measurable_prod_mk (measurable_snd measurable_id) (measurable_fst measurable_id),
measurable_inv_fun := measurable_prod_mk (measurable_snd measurable_id) (measurable_fst measurable_id) }
def sum_congr [measurable_space α] [measurable_space β] [measurable_space γ] [measurable_space δ]
(ab : measurable_equiv α β) (cd : measurable_equiv γ δ) :
measurable_equiv (α ⊕ γ) (β ⊕ δ) :=
{ to_equiv := equiv.sum_congr ab.to_equiv cd.to_equiv,
measurable_to_fun :=
begin
cases ab with ab' abm, cases ab', cases cd with cd' cdm, cases cd',
refine measurable_sum (measurable_inl.comp abm) (measurable_inr.comp cdm)
end,
measurable_inv_fun :=
begin
cases ab with ab' _ abm, cases ab', cases cd with cd' _ cdm, cases cd',
refine measurable_sum (measurable_inl.comp abm) (measurable_inr.comp cdm)
end }
def set.prod [measurable_space α] [measurable_space β] (s : set α) (t : set β) :
measurable_equiv (set.prod s t) (s × t) :=
{ to_equiv := equiv.set.prod s t,
measurable_to_fun := measurable_prod_mk
(measurable_subtype_mk $ measurable_fst $ measurable_subtype_val $ measurable_id)
(measurable_subtype_mk $ measurable_snd $ measurable_subtype_val $ measurable_id),
measurable_inv_fun := measurable_subtype_mk $ measurable_prod_mk
(measurable_subtype_val $ measurable_fst $ measurable_id)
(measurable_subtype_val $ measurable_snd $ measurable_id) }
def set.univ (α : Type*) [measurable_space α] : measurable_equiv (univ : set α) α :=
{ to_equiv := equiv.set.univ α,
measurable_to_fun := measurable_subtype_val measurable_id,
measurable_inv_fun := measurable_subtype_mk measurable_id }
def set.singleton [measurable_space α] (a:α) : measurable_equiv ({a} : set α) unit :=
{ to_equiv := equiv.set.singleton a,
measurable_to_fun := measurable_const,
measurable_inv_fun := measurable_subtype_mk $ show measurable (λu:unit, a), from
measurable_const }
noncomputable def set.image [measurable_space α] [measurable_space β]
(f : α → β) (s : set α)
(hf : function.injective f)
(hfm : measurable f) (hfi : ∀s, is_measurable s → is_measurable (f '' s)) :
measurable_equiv s (f '' s) :=
{ to_equiv := equiv.set.image f s hf,
measurable_to_fun :=
begin
have : measurable (λa:s, f a) := hfm.comp (measurable_subtype_val measurable_id),
refine measurable_subtype_mk _,
convert this,
ext ⟨a, h⟩, refl
end,
measurable_inv_fun :=
assume t ⟨u, (hu : is_measurable u), eq⟩,
begin
clear_, subst eq,
show is_measurable {x : f '' s | ((equiv.set.image f s hf).inv_fun x).val ∈ u},
have : ∀(a ∈ s) (h : ∃a', a' ∈ s ∧ a' = a), classical.some h = a :=
λa ha h, (classical.some_spec h).2,
rw show {x:f '' s | ((equiv.set.image f s hf).inv_fun x).val ∈ u} = subtype.val ⁻¹' (f '' u),
by ext ⟨b, a, hbs, rfl⟩; simp [equiv.set.image, equiv.set.image_of_inj_on, hf, this _ hbs],
exact (measurable_subtype_val measurable_id) (f '' u) (hfi u hu)
end }
noncomputable def set.range [measurable_space α] [measurable_space β]
(f : α → β) (hf : function.injective f) (hfm : measurable f)
(hfi : ∀s, is_measurable s → is_measurable (f '' s)) :
measurable_equiv α (range f) :=
(measurable_equiv.set.univ _).symm.trans $
(measurable_equiv.set.image f univ hf hfm hfi).trans $
measurable_equiv.cast (by rw image_univ) (by rw image_univ)
def set.range_inl [measurable_space α] [measurable_space β] :
measurable_equiv (range sum.inl : set (α ⊕ β)) α :=
{ to_fun := λab, match ab with
| ⟨sum.inl a, _⟩ := a
| ⟨sum.inr b, p⟩ := have false, by cases p; contradiction, this.elim
end,
inv_fun := λa, ⟨sum.inl a, a, rfl⟩,
left_inv := assume ⟨ab, a, eq⟩, by subst eq; refl,
right_inv := assume a, rfl,
measurable_to_fun := assume s (hs : is_measurable s),
begin
refine ⟨_, is_measurable_inl_image hs, set.ext _⟩,
rintros ⟨ab, a, rfl⟩,
simp [set.range_inl._match_1]
end,
measurable_inv_fun := measurable_subtype_mk measurable_inl }
def set.range_inr [measurable_space α] [measurable_space β] :
measurable_equiv (range sum.inr : set (α ⊕ β)) β :=
{ to_fun := λab, match ab with
| ⟨sum.inr b, _⟩ := b
| ⟨sum.inl a, p⟩ := have false, by cases p; contradiction, this.elim
end,
inv_fun := λb, ⟨sum.inr b, b, rfl⟩,
left_inv := assume ⟨ab, b, eq⟩, by subst eq; refl,
right_inv := assume b, rfl,
measurable_to_fun := assume s (hs : is_measurable s),
begin
refine ⟨_, is_measurable_inr_image hs, set.ext _⟩,
rintros ⟨ab, b, rfl⟩,
simp [set.range_inr._match_1]
end,
measurable_inv_fun := measurable_subtype_mk measurable_inr }
def sum_prod_distrib (α β γ) [measurable_space α] [measurable_space β] [measurable_space γ] :
measurable_equiv ((α ⊕ β) × γ) ((α × γ) ⊕ (β × γ)) :=
{ to_equiv := equiv.sum_prod_distrib α β γ,
measurable_to_fun :=
begin
refine measurable_of_measurable_union_cover
((range sum.inl).prod univ)
((range sum.inr).prod univ)
(is_measurable_set_prod is_measurable_range_inl is_measurable.univ)
(is_measurable_set_prod is_measurable_range_inr is_measurable.univ)
(assume ⟨ab, c⟩ s, by cases ab; simp [set.prod_eq])
_
_,
{ refine (set.prod (range sum.inl) univ).symm.measurable_coe_iff.1 _,
refine (prod_congr set.range_inl (set.univ _)).symm.measurable_coe_iff.1 _,
dsimp [(∘)],
convert measurable_inl,
ext ⟨a, c⟩, refl },
{ refine (set.prod (range sum.inr) univ).symm.measurable_coe_iff.1 _,
refine (prod_congr set.range_inr (set.univ _)).symm.measurable_coe_iff.1 _,
dsimp [(∘)],
convert measurable_inr,
ext ⟨b, c⟩, refl }
end,
measurable_inv_fun :=
begin
refine measurable_sum _ _,
{ convert measurable_prod_mk
(measurable_inl.comp (measurable_fst measurable_id)) (measurable_snd measurable_id),
ext ⟨a, c⟩; refl },
{ convert measurable_prod_mk
(measurable_inr.comp (measurable_fst measurable_id)) (measurable_snd measurable_id),
ext ⟨b, c⟩; refl }
end }
def prod_sum_distrib (α β γ) [measurable_space α] [measurable_space β] [measurable_space γ] :
measurable_equiv (α × (β ⊕ γ)) ((α × β) ⊕ (α × γ)) :=
prod_comm.trans $ (sum_prod_distrib _ _ _).trans $ sum_congr prod_comm prod_comm
def sum_prod_sum (α β γ δ)
[measurable_space α] [measurable_space β] [measurable_space γ] [measurable_space δ] :
measurable_equiv ((α ⊕ β) × (γ ⊕ δ)) (((α × γ) ⊕ (α × δ)) ⊕ ((β × γ) ⊕ (β × δ))) :=
(sum_prod_distrib _ _ _).trans $ sum_congr (prod_sum_distrib _ _ _) (prod_sum_distrib _ _ _)
end measurable_equiv
namespace measurable_equiv
end measurable_equiv
namespace measurable_space
/-- Dynkin systems
The main purpose of Dynkin systems is to provide a powerful induction rule for σ-algebras generated
by intersection stable set systems.
-/
structure dynkin_system (α : Type*) :=
(has : set α → Prop)
(has_empty : has ∅)
(has_compl : ∀{a}, has a → has (-a))
(has_Union_nat : ∀{f:ℕ → set α}, pairwise (disjoint on f) → (∀i, has (f i)) → has (⋃i, f i))
theorem Union_decode2_disjoint_on
{β} [encodable β] {f : β → set α} (hd : pairwise (disjoint on f)) :
pairwise (disjoint on λ i, ⋃ b ∈ decode2 β i, f b) :=
begin
rintro i j ij x ⟨h₁, h₂⟩,
revert h₁ h₂,
simp, intros b₁ e₁ h₁ b₂ e₂ h₂,
refine hd _ _ _ ⟨h₁, h₂⟩,
cases encodable.mem_decode2.1 e₁,
cases encodable.mem_decode2.1 e₂,
exact mt (congr_arg _) ij
end
namespace dynkin_system
@[ext] lemma ext :
∀{d₁ d₂ : dynkin_system α}, (∀s:set α, d₁.has s ↔ d₂.has s) → d₁ = d₂
| ⟨s₁, _, _, _⟩ ⟨s₂, _, _, _⟩ h :=
have s₁ = s₂, from funext $ assume x, propext $ h x,
by subst this
variable (d : dynkin_system α)
lemma has_compl_iff {a} : d.has (-a) ↔ d.has a :=
⟨λ h, by simpa using d.has_compl h, λ h, d.has_compl h⟩
lemma has_univ : d.has univ :=
by simpa using d.has_compl d.has_empty
theorem has_Union {β} [encodable β] {f : β → set α}
(hd : pairwise (disjoint on f)) (h : ∀i, d.has (f i)) : d.has (⋃i, f i) :=
by rw encodable.Union_decode2; exact
d.has_Union_nat (Union_decode2_disjoint_on hd)
(λ n, encodable.Union_decode2_cases d.has_empty h)
theorem has_union {s₁ s₂ : set α}
(h₁ : d.has s₁) (h₂ : d.has s₂) (h : s₁ ∩ s₂ ⊆ ∅) : d.has (s₁ ∪ s₂) :=
by rw union_eq_Union; exact
d.has_Union (pairwise_disjoint_on_bool.2 h)
(bool.forall_bool.2 ⟨h₂, h₁⟩)
lemma has_diff {s₁ s₂ : set α} (h₁ : d.has s₁) (h₂ : d.has s₂) (h : s₂ ⊆ s₁) : d.has (s₁ \ s₂) :=
d.has_compl_iff.1 begin
simp [diff_eq, compl_inter],
exact d.has_union (d.has_compl h₁) h₂ (λ x ⟨h₁, h₂⟩, h₁ (h h₂)),
end
instance : partial_order (dynkin_system α) :=
{ le := λm₁ m₂, m₁.has ≤ m₂.has,
le_refl := assume a b, le_refl _,
le_trans := assume a b c, le_trans,
le_antisymm := assume a b h₁ h₂, ext $ assume s, ⟨h₁ s, h₂ s⟩ }
def of_measurable_space (m : measurable_space α) : dynkin_system α :=
{ has := m.is_measurable,
has_empty := m.is_measurable_empty,
has_compl := m.is_measurable_compl,
has_Union_nat := assume f _ hf, m.is_measurable_Union f hf }
lemma of_measurable_space_le_of_measurable_space_iff {m₁ m₂ : measurable_space α} :
of_measurable_space m₁ ≤ of_measurable_space m₂ ↔ m₁ ≤ m₂ :=
iff.rfl
/-- The least Dynkin system containing a collection of basic sets. -/
inductive generate_has (s : set (set α)) : set α → Prop
| basic : ∀t∈s, generate_has t
| empty : generate_has ∅
| compl : ∀{a}, generate_has a → generate_has (-a)
| Union : ∀{f:ℕ → set α}, pairwise (disjoint on f) →
(∀i, generate_has (f i)) → generate_has (⋃i, f i)
def generate (s : set (set α)) : dynkin_system α :=
{ has := generate_has s,
has_empty := generate_has.empty s,
has_compl := assume a, generate_has.compl,
has_Union_nat := assume f, generate_has.Union }
def to_measurable_space (h_inter : ∀s₁ s₂, d.has s₁ → d.has s₂ → d.has (s₁ ∩ s₂)) :=
{ measurable_space .
is_measurable := d.has,
is_measurable_empty := d.has_empty,
is_measurable_compl := assume s h, d.has_compl h,
is_measurable_Union := assume f hf,
have ∀n, d.has (disjointed f n),
from assume n, disjointed_induct (hf n)
(assume t i h, h_inter _ _ h $ d.has_compl $ hf i),
have d.has (⋃n, disjointed f n), from d.has_Union disjoint_disjointed this,
by rwa [Union_disjointed] at this }
lemma of_measurable_space_to_measurable_space
(h_inter : ∀s₁ s₂, d.has s₁ → d.has s₂ → d.has (s₁ ∩ s₂)) :
of_measurable_space (d.to_measurable_space h_inter) = d :=
ext $ assume s, iff.rfl
def restrict_on {s : set α} (h : d.has s) : dynkin_system α :=
{ has := λt, d.has (t ∩ s),
has_empty := by simp [d.has_empty],
has_compl := assume t hts,
have -t ∩ s = (- (t ∩ s)) \ -s,
from set.ext $ assume x, by by_cases x ∈ s; simp [h],
by rw [this]; from d.has_diff (d.has_compl hts) (d.has_compl h)
(compl_subset_compl.mpr $ inter_subset_right _ _),
has_Union_nat := assume f hd hf,
begin
rw [inter_comm, inter_Union],
apply d.has_Union_nat,
{ exact λ i j h x ⟨⟨_, h₁⟩, _, h₂⟩, hd i j h ⟨h₁, h₂⟩ },
{ simpa [inter_comm] using hf },
end }
lemma generate_le {s : set (set α)} (h : ∀t∈s, d.has t) : generate s ≤ d :=
λ t ht, ht.rec_on h d.has_empty
(assume a _ h, d.has_compl h)
(assume f hd _ hf, d.has_Union hd hf)
lemma generate_inter {s : set (set α)}
(hs : ∀t₁ t₂, t₁ ∈ s → t₂ ∈ s → t₁ ∩ t₂ ≠ ∅ → t₁ ∩ t₂ ∈ s) {t₁ t₂ : set α}
(ht₁ : (generate s).has t₁) (ht₂ : (generate s).has t₂) : (generate s).has (t₁ ∩ t₂) :=
have generate s ≤ (generate s).restrict_on ht₂,
from generate_le _ $ assume s₁ hs₁,
have (generate s).has s₁, from generate_has.basic s₁ hs₁,
have generate s ≤ (generate s).restrict_on this,
from generate_le _ $ assume s₂ hs₂,
show (generate s).has (s₂ ∩ s₁), from
if h : s₂ ∩ s₁ = ∅ then by rw [h]; exact generate_has.empty _
else generate_has.basic _ (hs _ _ hs₂ hs₁ h),
have (generate s).has (t₂ ∩ s₁), from this _ ht₂,
show (generate s).has (s₁ ∩ t₂), by rwa [inter_comm],
this _ ht₁
lemma generate_from_eq {s : set (set α)}
(hs : ∀t₁ t₂, t₁ ∈ s → t₂ ∈ s → t₁ ∩ t₂ ≠ ∅ → t₁ ∩ t₂ ∈ s) :
generate_from s = (generate s).to_measurable_space (assume t₁ t₂, generate_inter hs) :=
le_antisymm
(generate_from_le $ assume t ht, generate_has.basic t ht)
(of_measurable_space_le_of_measurable_space_iff.mp $
by rw [of_measurable_space_to_measurable_space];
from (generate_le _ $ assume t ht, is_measurable_generate_from ht))
end dynkin_system
lemma induction_on_inter {C : set α → Prop} {s : set (set α)} {m : measurable_space α}
(h_eq : m = generate_from s)
(h_inter : ∀t₁ t₂, t₁ ∈ s → t₂ ∈ s → t₁ ∩ t₂ ≠ ∅ → t₁ ∩ t₂ ∈ s)
(h_empty : C ∅) (h_basic : ∀t∈s, C t) (h_compl : ∀t, m.is_measurable t → C t → C (- t))
(h_union : ∀f:ℕ → set α, (∀i j, i ≠ j → f i ∩ f j ⊆ ∅) →
(∀i, m.is_measurable (f i)) → (∀i, C (f i)) → C (⋃i, f i)) :
∀{t}, m.is_measurable t → C t :=
have eq : m.is_measurable = dynkin_system.generate_has s,
by rw [h_eq, dynkin_system.generate_from_eq h_inter]; refl,
assume t ht,
have dynkin_system.generate_has s t, by rwa [eq] at ht,
this.rec_on h_basic h_empty
(assume t ht, h_compl t $ by rw [eq]; exact ht)
(assume f hf ht, h_union f hf $ assume i, by rw [eq]; exact ht _)
end measurable_space
|
df1e8bc110792007b9a910edf10700375a8d4db4 | e00ea76a720126cf9f6d732ad6216b5b824d20a7 | /src/topology/algebra/monoid.lean | e260f27e8dffe3f6a52a41673e40383254953025 | [
"Apache-2.0"
] | permissive | vaibhavkarve/mathlib | a574aaf68c0a431a47fa82ce0637f0f769826bfe | 17f8340912468f49bdc30acdb9a9fa02eeb0473a | refs/heads/master | 1,621,263,802,637 | 1,585,399,588,000 | 1,585,399,588,000 | 250,833,447 | 0 | 0 | Apache-2.0 | 1,585,410,341,000 | 1,585,410,341,000 | null | UTF-8 | Lean | false | false | 5,702 | lean | /-
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
Theory of topological monoids.
TODO: generalize `topological_monoid` and `topological_add_monoid` to semigroups, or add a type class
`topological_operator α (*)`.
-/
import topology.constructions topology.continuous_on
import algebra.pi_instances
open classical set filter topological_space
open_locale classical topological_space
universes u v w
variables {α : Type u} {β : Type v} {γ : Type w}
section topological_monoid
/-- A topological monoid is a monoid in which the multiplication is continuous as a function
`α × α → α`. -/
class topological_monoid (α : Type u) [topological_space α] [monoid α] : Prop :=
(continuous_mul : continuous (λp:α×α, p.1 * p.2))
/-- A topological (additive) monoid is a monoid in which the addition is
continuous as a function `α × α → α`. -/
class topological_add_monoid (α : Type u) [topological_space α] [add_monoid α] : Prop :=
(continuous_add : continuous (λp:α×α, p.1 + p.2))
attribute [to_additive topological_add_monoid] topological_monoid
section
variables [topological_space α] [monoid α] [topological_monoid α]
@[to_additive]
lemma continuous_mul : continuous (λp:α×α, p.1 * p.2) :=
topological_monoid.continuous_mul α
@[to_additive]
lemma continuous.mul [topological_space β] {f : β → α} {g : β → α}
(hf : continuous f) (hg : continuous g) :
continuous (λx, f x * g x) :=
continuous_mul.comp (hf.prod_mk hg)
@[to_additive]
lemma continuous_mul_left (a : α) : continuous (λ b:α, a * b) :=
continuous_const.mul continuous_id
@[to_additive]
lemma continuous_mul_right (a : α) : continuous (λ b:α, b * a) :=
continuous_id.mul continuous_const
@[to_additive]
lemma continuous_on.mul [topological_space β] {f : β → α} {g : β → α} {s : set β}
(hf : continuous_on f s) (hg : continuous_on g s) :
continuous_on (λx, f x * g x) s :=
(continuous_mul.comp_continuous_on (hf.prod hg) : _)
-- @[to_additive continuous_smul]
lemma continuous_pow : ∀ n : ℕ, continuous (λ a : α, a ^ n)
| 0 := by simpa using continuous_const
| (k+1) := show continuous (λ (a : α), a * a ^ k), from continuous_id.mul (continuous_pow _)
@[to_additive]
lemma tendsto_mul {a b : α} : tendsto (λp:α×α, p.fst * p.snd) (𝓝 (a, b)) (𝓝 (a * b)) :=
continuous_iff_continuous_at.mp (topological_monoid.continuous_mul α) (a, b)
@[to_additive]
lemma filter.tendsto.mul {f : β → α} {g : β → α} {x : filter β} {a b : α}
(hf : tendsto f x (𝓝 a)) (hg : tendsto g x (𝓝 b)) :
tendsto (λx, f x * g x) x (𝓝 (a * b)) :=
tendsto_mul.comp (hf.prod_mk_nhds hg)
@[to_additive]
lemma continuous_at.mul [topological_space β] {f : β → α} {g : β → α} {x : β}
(hf : continuous_at f x) (hg : continuous_at g x) :
continuous_at (λx, f x * g x) x :=
hf.mul hg
@[to_additive]
lemma continuous_within_at.mul [topological_space β] {f : β → α} {g : β → α} {s : set β} {x : β}
(hf : continuous_within_at f s x) (hg : continuous_within_at g s x) :
continuous_within_at (λx, f x * g x) s x :=
hf.mul hg
@[to_additive]
lemma tendsto_list_prod {f : γ → β → α} {x : filter β} {a : γ → α} :
∀l:list γ, (∀c∈l, tendsto (f c) x (𝓝 (a c))) →
tendsto (λb, (l.map (λc, f c b)).prod) x (𝓝 ((l.map a).prod))
| [] _ := by simp [tendsto_const_nhds]
| (f :: l) h :=
begin
simp only [list.map_cons, list.prod_cons],
exact (h f (list.mem_cons_self _ _)).mul
(tendsto_list_prod l (assume c hc, h c (list.mem_cons_of_mem _ hc)))
end
@[to_additive]
lemma continuous_list_prod [topological_space β] {f : γ → β → α} (l : list γ)
(h : ∀c∈l, continuous (f c)) :
continuous (λa, (l.map (λc, f c a)).prod) :=
continuous_iff_continuous_at.2 $ assume x, tendsto_list_prod l $ assume c hc,
continuous_iff_continuous_at.1 (h c hc) x
@[to_additive topological_add_monoid]
instance [topological_space β] [monoid β] [topological_monoid β] : topological_monoid (α × β) :=
⟨((continuous_fst.comp continuous_fst).mul (continuous_fst.comp continuous_snd)).prod_mk
((continuous_snd.comp continuous_fst).mul (continuous_snd.comp continuous_snd))⟩
attribute [instance] prod.topological_add_monoid
end
section
variables [topological_space α] [comm_monoid α]
@[to_additive]
lemma is_submonoid.mem_nhds_one (β : set α) [is_submonoid β] (oβ : is_open β) :
β ∈ 𝓝 (1 : α) :=
mem_nhds_sets_iff.2 ⟨β, (by refl), oβ, is_submonoid.one_mem _⟩
variable [topological_monoid α]
@[to_additive]
lemma tendsto_multiset_prod {f : γ → β → α} {x : filter β} {a : γ → α} (s : multiset γ) :
(∀c∈s, tendsto (f c) x (𝓝 (a c))) →
tendsto (λb, (s.map (λc, f c b)).prod) x (𝓝 ((s.map a).prod)) :=
by { rcases s with ⟨l⟩, simp, exact tendsto_list_prod l }
@[to_additive]
lemma tendsto_finset_prod {f : γ → β → α} {x : filter β} {a : γ → α} (s : finset γ) :
(∀c∈s, tendsto (f c) x (𝓝 (a c))) → tendsto (λb, s.prod (λc, f c b)) x (𝓝 (s.prod a)) :=
tendsto_multiset_prod _
@[to_additive]
lemma continuous_multiset_prod [topological_space β] {f : γ → β → α} (s : multiset γ) :
(∀c∈s, continuous (f c)) → continuous (λa, (s.map (λc, f c a)).prod) :=
by { rcases s with ⟨l⟩, simp, exact continuous_list_prod l }
@[to_additive]
lemma continuous_finset_prod [topological_space β] {f : γ → β → α} (s : finset γ) :
(∀c∈s, continuous (f c)) → continuous (λa, s.prod (λc, f c a)) :=
continuous_multiset_prod _
end
end topological_monoid
|
35c6b5781000b5cd9f3b3cacc4db38738b25937a | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/Lean3Lib/init/meta/async_tactic.lean | 23ed18d4ea80858bfff7e3a756e29c40ba82b32d | [] | no_license | AurelienSaue/Mathlib4_auto | f538cfd0980f65a6361eadea39e6fc639e9dae14 | 590df64109b08190abe22358fabc3eae000943f2 | refs/heads/master | 1,683,906,849,776 | 1,622,564,669,000 | 1,622,564,669,000 | 371,723,747 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 303 | lean | /-
Copyright (c) 2017 Gabriel Ebner. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Gabriel Ebner
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.meta.tactic
import Mathlib.Lean3Lib.init.meta.interactive
namespace Mathlib
namespace tactic
|
e93bb740a4f44c6f8af50bf0236aea73b1e26f58 | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /tests/lean/def_ite_value.lean | 6ec74e2dc9743c846eed375c5bdb28787c68e257 | [
"Apache-2.0"
] | permissive | soonhokong/lean-osx | 4a954262c780e404c1369d6c06516161d07fcb40 | 3670278342d2f4faa49d95b46d86642d7875b47c | refs/heads/master | 1,611,410,334,552 | 1,474,425,686,000 | 1,474,425,686,000 | 12,043,103 | 5 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 297 | lean | set_option eqn_compiler.lemmas false -- TODO(Leo): remove
definition f : string → nat → nat
| "hello world" 1 := 0
| "hello world" _ := 1
| "bye" 1 := 2
| _ _ := 3
vm_eval f "hello world" 1
vm_eval f "hello world" 2
vm_eval f "bye" 1
vm_eval f "bye" 2
vm_eval f "hello" 1
|
b61e12d194b05e087cbea9a03b07d50ebdbf1e7c | bce603343785d07c32cb8b35950aba0b4d9415ae | /lean4/Crypto/Structure.lean | 604c753917947417e826474bc29b81748d10923c | [] | no_license | fpvandoorn/cryptomorphism | db00cf0b12c8fd561a6200eee6a6ff2a023f1228 | d486419ecced54de3db759dae81110be44b7c28b | refs/heads/master | 1,693,198,883,854 | 1,636,562,038,000 | 1,636,562,038,000 | 363,219,330 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 17,166 | lean | import Lean
import Crypto.Util
open Lean Elab Tactic Meta
namespace Crypto
/-- Return true iff `constName` is the a non-recursive inductive datatype without indices
that has only one constructor. If `includeProp` is false, we also check that the datatype is
not `Prop` or `Sort*` -/
def isVeryStructureLike (env : Environment) (constName : Name) (includeProp := true) : Bool :=
match env.find? constName with
| some d@(ConstantInfo.inductInfo { isRec := false, ctors := [ctor], numIndices := 0, .. }) =>
includeProp || d.toConstantVal.type.getForallBody.level!.isASucc
| _ => false
/-- Good names for new hypotheses when casing on a variable with name `nm` and type `constName`. -/
def giveNames (env : Environment) (constName nm : Name) : Array Name :=
match getStructureInfo? env constName with
| some p => p.fieldNames.map λ s => nm.appendAfter ("_" ++ s.toString)
| _ => if constName == `Exists then #[nm.appendAfter "_val", nm.appendAfter "_prop"] else #[]
/- the data we record for each field -/
structure FieldData where
(decl : LocalDecl)
(fvar : Expr)
(type : Expr)
(depends : NameSet)
(isProp : Bool)
deriving Inhabited
/- additionally an expression that gives us the translation to another field -/
structure FieldMapping extends FieldData where
(tgt : Option Expr)
deriving Inhabited
structure Context where
(target : Array FieldData)
deriving Inhabited
structure State where
(mapping : Array FieldMapping)
deriving Inhabited
open Std.Format
instance : ToFormat NameSet :=
⟨λ x => format x.toList⟩
instance : ToFormat FieldData :=
⟨λ ⟨a, b, c, d, e⟩ => group (nest 1 (format "⟨" ++ format a ++ format "," ++ line ++ format b ++
format "," ++ line ++ format c ++ format "," ++ line ++ format d ++ format "," ++ line ++ format e
++ format "⟩"))⟩
namespace FieldData
def name (fields : FieldData) : Name :=
fields.decl.userName.head!
def toFieldMapping (fields : FieldData) : FieldMapping :=
{ toFieldData := fields, tgt := none }
end FieldData
namespace FieldMapping
def update (field : FieldMapping) (newM : Option Expr) : FieldMapping :=
if field.tgt.isNone then { field with tgt := newM } else field
def updateM (field : FieldMapping) (tac : MetaM (Option Expr)) : MetaM FieldMapping :=
if field.tgt.isNone then do
let tgt ← tac
return { field with tgt := tgt }
else
return field
end FieldMapping
def ppFieldData (x : FieldData) : MetaM Format :=
do return group (nest 1 (format "⟨" ++
format x.name ++ format "," ++ line ++
format (← Meta.ppExpr x.fvar) ++ format "," ++ line ++
format (← Meta.ppExpr x.type) ++ format "," ++ line ++
format (← x.depends.toList.mapM λ e => Meta.ppExpr (mkFVar ⟨e⟩)) ++ format "," ++ line ++
format x.isProp ++ format "⟩"))
/-- make a field mapping with no connections. -/
def mkState (fields1 : Array FieldData) : State :=
{ mapping := fields1.map (·.toFieldMapping) }
namespace State
def done (st : State) : Bool :=
st.mapping.all (·.tgt.isSome)
def update (st : State) (f : FieldData → Option Expr) : State :=
{ mapping := st.mapping.map λ info => info.update (f info.toFieldData) }
def updateM (st : State) (f : FieldData → MetaM (Option Expr)) : MetaM State := do
let fieldMapping ← st.mapping.mapM λ info => info.updateM (f info.toFieldData)
return { mapping := fieldMapping }
def getDataMapping (st : State) : Array (Expr × Expr) :=
st.mapping.filterMap λ map => match map.tgt with
| none => none
| some e => if map.isProp then none else some (map.fvar, e)
def getMapping (st : State) : Array (Expr × Expr) :=
st.mapping.filterMap λ map => match map.tgt with
| none => none
| some e => some (map.fvar, e)
def missing (st : State) : Array FieldData :=
st.mapping.filterMap λ info => if info.tgt.isNone then some info.toFieldData else none
def missingData (st : State) : Array FieldData :=
st.mapping.filterMap λ info =>
if info.tgt.isNone && !info.isProp then some info.toFieldData else none
def traceMapping (st : State) : MetaM (Array Format) :=
st.mapping.mapM λ info : FieldMapping =>
if info.tgt.isSome then Meta.ppExpr info.tgt.get! else return Format.nil
end State
namespace Meta
def fieldDataofCaseGoals (l : Array CasesSubgoal) : MetaM (MVarId × Array FieldData) := do
let casegoal := l.get! 0
let mvarId := casegoal.mvarId
withMVarContext mvarId do
let lctx ← getLCtx
let fieldExprs := casegoal.fields
let fields := fieldExprs.map Expr.fvarId!
let ldecls := fields.map λ e => lctx.fvarIdToDecl.find! e
let axiom_fields ← fieldExprs.mapM isProof
let types ← fieldExprs.mapM inferType
let depends := types.map λ tp => tp.ListFvarIds
let fieldData := ldecls.zipWith5 FieldData.mk fieldExprs types depends axiom_fields
return (mvarId, fieldData)
def updateFieldData (l : Array CasesSubgoal) (fields : Array FieldData) :
MetaM (Array FieldData) := do
let casegoal := l.get! 0
let mvarId := casegoal.mvarId
let fieldData ← withMVarContext mvarId $ fields.mapM λ info =>
match casegoal.subst.find? info.fvar.fvarId! with
| (some e) => do
let lctx ← getLCtx
let id := e.fvarId!
let ldecl := lctx.fvarIdToDecl.find! id
let t ← inferType e
let depends := NameSet.empty -- todo
return ⟨ldecl, e, t, depends, info.isProp⟩
| none => return info
return fieldData
def AddFieldsToContext (mvarId : MVarId) (nm : Name) (us : List Level) (args : Array Expr) :
MetaM (MVarId × MVarId × Array FieldData) := do
let env ← getEnv
let d ← env.find? nm
let true ← isStructureLike env nm
let eStr ← mkAppN (mkConst nm us) args
let (h, mvarId, m2) ← assertm mvarId `h eStr
let l ← cases mvarId h
let (mvarId, fieldData) ← fieldDataofCaseGoals l
return (mvarId, m2, fieldData)
/-- map the data fields to data fields of the same name. -/
def trivialMapping (st : State) (ctx : Context) : State :=
st.update $ λ info =>
if info.isProp then none else
ctx.target.findSome? λ info' => if info.name == info'.name then some info'.fvar else none
/-- map the data fields to data fields with the same type, if a unique such data field exists. -/
def uniqueMapping (st : State) (ctx : Context) : MetaM State :=
st.updateM $ λ info => if info.isProp then return none else do
let sources ← st.mapping.filterM λ info' => isDefEq info.type info'.type
let targets ← ctx.target.filterM λ info' => isDefEq info.type info'.type
return (if sources.size = 1 ∧ targets.size = 1 then some (targets.get! 0).fvar else none)
set_option pp.all true
partial def caseOnStructures (mvarId : MVarId) (st : Array FieldData) (ctx : Context)
(includeProp := true) :
MetaM (MVarId × Array FieldData) := do
let env ← getEnv
let info? := st.find? λ info =>
info.type.getAppFn.constName?.any (isVeryStructureLike env · includeProp)
match info? with
| some info => do
let rest := st.filter λ info' => info'.fvar.fvarId! != info.fvar.fvarId!
let str := info.type.getAppFn.constName!
-- todo: there seems to be a bug with the given names when transitively extending structures. Do we need to skip fields?
-- IO.println (giveNames env str info.name)
let l ← cases mvarId info.fvar.fvarId! #[⟨false, (giveNames env str info.name).toList⟩]
let (mvarId, fieldData) ← fieldDataofCaseGoals l
let rest ← updateFieldData l rest
caseOnStructures mvarId (rest ++ fieldData) ctx includeProp
| none =>
return (mvarId, st)
/-- Find which axioms of the first structure that occur in the second structure. -/
def matchingAxioms (st : State) (ctx : Context) : MetaM State := do
let targetTypes : Array (Expr × Expr) := ctx.target.filterMap λ info =>
if info.isProp then (info.fvar, info.type) else none
st.updateM λ info => do
let e := info.type.instantiateFVars st.getDataMapping
match (← targetTypes.findM? λ (e', t) => isDefEq e t) with
| some (e, t) => return (some e)
| none => return none
/-- some copy-pasted simp code -/
def getPropHyps : MetaM (Array FVarId) := do
let mut result := #[]
for localDecl in (← getLCtx) do
unless localDecl.isAuxDecl do
if (← isProp localDecl.type) then
result := result.push localDecl.fvarId
return result
/-- some mostly copy-pasted simp code -/
def mkSimpContext (simpOnly := false) (starArg := true) : MetaM Simp.Context := do
let ctx : Simp.Context :=
{ config := {}
simpLemmas := if simpOnly then {} else (← getSimpLemmas)
congrLemmas := (← getCongrLemmas) }
if !starArg then
return ctx
else
let hs ← getPropHyps
let mut ctx := ctx
for h in hs do
let localDecl ← getLocalDecl h
let fvarId := localDecl.fvarId
let proof := localDecl.toExpr
let id ← mkFreshUserName `h
let simpLemmas ← ctx.simpLemmas.add #[] proof (name? := id)
ctx := { ctx with simpLemmas }
return ctx
/-- The tactic we use to automatically prove axioms. -/
def currentAutomation (mvarId : MVarId) : MetaM Unit := do
let newgoal ← simpTarget mvarId (← mkSimpContext false)
-- match (← simpTarget mvarId (← mkSimpContext false)) with
-- | some x => IO.println "failure!"
-- | none => IO.println "success!"
/-- Tries to prove `e` in the local context, returns the proof if successful. -/
def tryToProve (mvarId : MVarId) (tac : MVarId → MetaM Unit) (e : Expr) : MetaM (Option Expr) :=
withoutModifyingState do
let (fvar, mvarId, m2) ← assertm mvarId `h e
try
tac m2
-- IO.println s!"is assigned: {← isExprMVarAssigned m2}"
let some e ← getExprMVarAssignment? m2 | return none
let e ← instantiateMVars e
if (← e.hasExprMVar) then return none else return some e
catch err =>
return none
/-- Tests whether nm1 is a subclass of nm1. Currently the data fields must have the same Name for
this tactic to work. -/
def isSubclass (mvarId : MVarId) (nm1 nm2 : Name) (trace := false) :
MetaM (MVarId × MVarId × MVarId × State) := do
let u := mkLevelParam `u
let (M, mvarId) ← asserti mvarId `M (mkSort (mkLevelSucc u)) (mkConst `PUnit [mkLevelSucc u])
let (mvarId, m2, fields2) ← AddFieldsToContext mvarId nm2 [u] #[mkFVar M]
let (mvarId, fields2) ← caseOnStructures mvarId fields2 ⟨#[]⟩ false
let ctx : Context := ⟨fields2⟩
if trace then IO.println s!"cases on fields class 2: {← ctx.target.map (·.name)}"
let (mvarId, m1, fields1) ← AddFieldsToContext mvarId nm1 [u] #[mkFVar M]
let (mvarId, fields1) ← caseOnStructures mvarId fields1 ctx
let st := mkState fields1
withMVarContext mvarId do
let st ← uniqueMapping st ctx
let st := trivialMapping st ctx
if trace then IO.println s!"map of data: {← st.traceMapping}"
let (mvarId, fields2) ← caseOnStructures mvarId fields2 ⟨#[]⟩ -- is this dangerous?
let ctx : Context := ⟨fields2⟩
withMVarContext mvarId do
let ctx : Context := ⟨fields2⟩
let st ← matchingAxioms st ctx
let st ← st.updateM λ info => if !info.isProp then return none else
tryToProve mvarId currentAutomation (info.type.instantiateFVars st.getDataMapping)
if trace then IO.println s!"map: {← st.traceMapping}"
return (mvarId, m1, m2, st)
end Meta
syntax (name := guardHyp) "guardHyp " (" : " term)? : tactic
@[tactic guardHyp] def evalGuardHyp : Lean.Elab.Tactic.Tactic := fun stx =>
match stx with
| `(tactic| guardHyp $[: $ty]?) => do
return ()
| _ => throwUnsupportedSyntax
def isSubclassTac (nm1 nm2 : Name) (trace := false) : TacticM Unit := withMainContext do
let mvarId ← getMainGoal
let (mvarId, m1, m2, st) ← Meta.isSubclass mvarId nm1 nm2 trace
if st.done then IO.println s!"{nm1} is a subclass of {nm2}"
else IO.println s!"Cannot construct the following fields of {nm1} from {nm2}:
{st.missing.map (·.name)}."
let l ← getUnsolvedGoals
setGoals (mvarId::m1::m2::l)
def cryptomorphicTac (nm1 nm2 : Name) (trace := false) : TacticM Unit := withMainContext do
let mvarId ← getMainGoal
let (mvarId, m1, m2, st1) ← Meta.isSubclass mvarId nm1 nm2 trace
let (mvarId, m3, m4, st2) ← Meta.isSubclass mvarId nm2 nm1 trace
if st1.done && st2.done then IO.println s!"{nm1} and {nm2} are cryptomorphic"
else do
IO.println s!"Cannot prove that {nm1} and {nm2} are cryptomorphic"
if !st1.done then
IO.println s!"{nm2} → {nm1}: cannot construct {st1.missing.map (·.name)}"
if !st2.done then
IO.println s!"{nm1} → {nm2}: Cannot construct {st2.missing.map (·.name)}"
let l ← getUnsolvedGoals
setGoals (mvarId::m1::m2::m3::m4::l)
syntax (name := isSubclass) "isSubclass " ident ident : tactic
syntax (name := isSubclassE) "isSubclass! " ident ident : tactic
@[tactic «isSubclass»] def evalIsSubclass : Tactic := fun stx =>
match stx with
| `(tactic| isSubclass $nm1 $nm2) => withoutModifyingState $ isSubclassTac nm1.getId nm2.getId
| _ => throwUnsupportedSyntax
@[tactic «isSubclassE»] def evalIsSubclassE : Tactic := fun stx =>
match stx with
| `(tactic| isSubclass! $nm1 $nm2) => isSubclassTac nm1.getId nm2.getId true
| _ => throwUnsupportedSyntax
syntax (name := cryptomorphic) "cryptomorphic " ident ident : tactic
@[tactic «cryptomorphic»] def evalCryptomorphic : Tactic := fun stx =>
match stx with
| `(tactic| cryptomorphic $nm1 $nm2) => withoutModifyingState $ cryptomorphicTac nm1.getId nm2.getId
| _ => throwUnsupportedSyntax
end Crypto
open Crypto
/-!
## Demo and tests
We define some notions of commutative Monoids,
(1) right-unital
(2) right-unital, and then has a superfluous axiom `1 * 1 = 1`
(3) both left-unital and right-unital.
(4) denoted additively
(5) with a unit given by an existential quantifier (`∃ one, ...`)
(6) by extending a `Monoid` structure.
-/
class Zero (α : Type u) where
zero : α
instance [Zero α] : OfNat α (nat_lit 0) where
ofNat := Zero.zero
class One (α : Type u) where
one : α
instance [One α] : OfNat α (nat_lit 1) where
ofNat := One.one
class CommMonoid1 (M : Type _) extends Mul M, One M :=
(mul_assoc : ∀ x y z : M, (x * y) * z = x * (y * z))
(mul_comm : ∀ x y : M, x * y = y * x)
(mul_one : ∀ x : M, x * 1 = x)
class CommMonoid2 (M : Type _) extends Mul M, One M :=
(mul_one : ∀ x : M, x * 1 = x)
(one_mul_one : 1 * 1 = 1)
(mul_assoc : ∀ x y z : M, (x * y) * z = x * (y * z))
(mul_comm : ∀ x y : M, x * y = y * x)
class CommMonoid3 (M : Type _) extends Mul M, One M :=
(one_mul : ∀ x : M, 1 * x = x)
(mul_assoc : ∀ x y z : M, (x * y) * z = x * (y * z))
(mul_comm : ∀ x y : M, x * y = y * x)
class CommMonoid4 (M : Type _) extends Add M, Zero M :=
(add_assoc : ∀ x y z : M, (x + y) + z = x + (y + z))
(add_comm : ∀ x y : M, x + y = y + x)
(add_zero : ∀ x : M, x + 0 = x)
class CommMonoid5 (M : Type _) extends Mul M :=
(mul_axioms : (∀ x y z : M, (x * y) * z = x * (y * z)) ∧ (∀ x y : M, x * y = y * x))
(exists_one : ∃ one : M, ∀ x : M, x * one = x)
class Monoid (M : Type _) extends Mul M, One M :=
(mul_assoc : ∀ x y z : M, (x * y) * z = x * (y * z))
(mul_one : ∀ x : M, x * 1 = x)
class CommMonoid6 (M : Type _) extends Monoid M :=
(mul_comm : ∀ x y : M, x * y = y * x)
open CommMonoid1
-- example (M : Type _) [CommMonoid1 M] (x : M) : 1 * x = 1 := by
-- simp [mul_comm]
example : True := by
cryptomorphic CommMonoid1 CommMonoid2 -- yes
cryptomorphic CommMonoid1 CommMonoid3 -- mul_one, one_mul [need better automation]
cryptomorphic CommMonoid1 CommMonoid4 -- yes
cryptomorphic CommMonoid1 CommMonoid5 -- one, mul_one [need support for existentials]
cryptomorphic CommMonoid1 CommMonoid6 -- yes
trivial
/-! As a sanity check: we cannot prove commutativity on an arbitrary Monoid. -/
class MyMonoid (M : Type _) extends Mul M :=
(mul_assoc : ∀ x y z : M, (x * y) * z = x * (y * z))
(one : M)
(mul_one : ∀ x : M, x * one = x)
example : True := by
cryptomorphic MyMonoid CommMonoid1 -- missing (expected): mul_comm
trivial
/-!
If two data fields have the same type, we try to get the one with the same name.
In the future we could look at which choice will make more axioms overlap.
-/
class MyAlmostRing (M : Type _) extends Mul M :=
(add : M → M → M)
(mul_assoc : ∀ x y z : M, (x * y) * z = x * (y * z))
(mul_comm : ∀ x y : M, x * y = y * x)
(one : M)
(mul_one : ∀ x : M, x * one = x)
example : True := by
cryptomorphic CommMonoid1 MyAlmostRing -- missing (expected): add
trivial
/-! Test which "fields" are missing when inside nested structures. -/
class CommMonoidBundled1 (M : Type _) extends Mul M :=
(mul_assoc : ∀ x y z : M, (x * y) * z = x * (y * z))
(mul_comm : ∀ x y : M, x * y = y * x)
(one_axioms : ∃ one : M, (∀ x : M, x * one = x) ∧ (∀ x : M, x * x = one))
class CommMonoidBundled2 (M : Type _) :=
(data : (M → M → M) × M)
(mul_assoc : ∀ x y z : M, data.1 (data.1 x y) z = data.1 x (data.1 y z))
(mul_comm : ∀ x y : M, data.1 x y = data.1 y x)
(mul_one : ∀ x : M, data.1 x data.2 = x)
example : True := by
cryptomorphic CommMonoidBundled1 CommMonoid1 -- missing (expected): one_axioms_prop_right
-- missing: one, one_mul [need support for existentials]
cryptomorphic CommMonoidBundled2 CommMonoid1 -- yesss
trivial |
a28edc0c49631af2894c5a69d4514ff71c6bf304 | 55c7fc2bf55d496ace18cd6f3376e12bb14c8cc5 | /src/topology/uniform_space/basic.lean | b1dd802279e9030a8f2d823a3d2758ac51dde191 | [
"Apache-2.0"
] | permissive | dupuisf/mathlib | 62de4ec6544bf3b79086afd27b6529acfaf2c1bb | 8582b06b0a5d06c33ee07d0bdf7c646cae22cf36 | refs/heads/master | 1,669,494,854,016 | 1,595,692,409,000 | 1,595,692,409,000 | 272,046,630 | 0 | 0 | Apache-2.0 | 1,592,066,143,000 | 1,592,066,142,000 | null | UTF-8 | Lean | false | false | 69,072 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot
-/
import order.filter.lift
import topology.separation
/-!
# Uniform spaces
Uniform spaces are a generalization of metric spaces and topological groups. Many concepts directly
generalize to uniform spaces, e.g.
* uniform continuity (in this file)
* completeness (in `cauchy.lean`)
* extension of uniform continuous functions to complete spaces (in `uniform_embedding.lean`)
* totally bounded sets (in `cauchy.lean`)
* totally bounded complete sets are compact (in `cauchy.lean`)
A uniform structure on a type `X` is a filter `𝓤 X` on `X × X` satisfying some conditions
which makes it reasonable to say that `∀ᶠ (p : X × X) in 𝓤 X, ...` means
"for all p.1 and p.2 in X close enough, ...". Elements of this filter are called entourages
of `X`. The two main examples are:
* If `X` is a metric space, `V ∈ 𝓤 X ↔ ∃ ε > 0, { p | dist p.1 p.2 < ε } ⊆ V`
* If `G` is an additive topological group, `V ∈ 𝓤 G ↔ ∃ U ∈ 𝓝 (0 : G), {p | p.2 - p.1 ∈ U} ⊆ V`
Those examples are generalizations in two different directions of the elementary example where
`X = ℝ` and `V ∈ 𝓤 ℝ ↔ ∃ ε > 0, { p | |p.2 - p.1| < ε } ⊆ V` which features both the topological
group structure on `ℝ` and its metric space structure.
Each uniform structure on `X` induces a topology on `X` characterized by
> `nhds_eq_comap_uniformity : ∀ {x : X}, 𝓝 x = comap (prod.mk x) (𝓤 X)`
where `prod.mk x : X → X × X := (λ y, (x, y))` is the partial evaluation of the product
constructor.
The dictionary with metric spaces includes:
* an upper bound for `dist x y` translates into `(x, y) ∈ V` for some `V ∈ 𝓤 X`
* a ball `ball x r` roughly corresponds to `uniform_space.ball x V := {y | (x, y) ∈ V}`
for some `V ∈ 𝓤 X`, but the later is more general (it includes in
particular both open and closed balls for suitable `V`).
In particular we have:
`is_open_iff_ball_subset {s : set X} : is_open s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 X, ball x V ⊆ s`
The triangle inequality is abstracted to a statement involving the composition of relations in `X`.
First note that the triangle inequality in a metric space is equivalent to
`∀ (x y z : X) (r r' : ℝ), dist x y ≤ r → dist y z ≤ r' → dist x z ≤ r + r'`.
Then, for any `V` and `W` with type `set (X × X)`, the composition `V ○ W : set (X × X)` is
defined as `{ p : X × X | ∃ z, (p.1, z) ∈ V ∧ (z, p.2) ∈ W }`.
In the metric space case, if `V = { p | dist p.1 p.2 ≤ r }` and `W = { p | dist p.1 p.2 ≤ r' }`
then the triangle inequality, as reformulated above, says `V ○ W` is contained in
`{p | dist p.1 p.2 ≤ r + r'}` which is the entourage associated to the radius `r + r'`.
In general we have `mem_ball_comp (h : y ∈ ball x V) (h' : z ∈ ball y W) : z ∈ ball x (V ○ W)`.
Note that this discussion does not depend on any axiom imposed on the uniformity filter,
it is simply captured by the definition of composition.
The uniform space axioms ask the filter `𝓤 X` to satisfy the following:
* every `V ∈ 𝓤 X` contains the diagonal `id_rel = { p | p.1 = p.2 }`. This abstracts the fact
that `dist x x ≤ r` for every non-negative radius `r` in the metric space case and also that
`x - x` belongs to every neighborhood of zero in the topological group case.
* `V ∈ 𝓤 X → prod.swap '' V ∈ 𝓤 X`. This is tightly related the fact that `dist x y = dist y x`
in a metric space, and to continuity of negation in the topological group case.
* `∀ V ∈ 𝓤 X, ∃ W ∈ 𝓤 X, W ○ W ⊆ V`. In the metric space case, it corresponds
to cutting the radius of a ball in half and applying the triangle inequality.
In the topological group case, it comes from continuity of addition at `(0, 0)`.
These three axioms are stated more abstractly in the definition below, in terms of
operations on filters, without directly manipulating entourages.
## Main definitions
* `uniform_space X` is a uniform space structure on a type `X`
* `uniform_continuous f` is a predicate saying a function `f : α → β` between uniform spaces
is uniformly continuous : `∀ r ∈ 𝓤 β, ∀ᶠ (x : α × α) in 𝓤 α, (f x.1, f x.2) ∈ r`
In this file we also define a complete lattice structure on the type `uniform_space X`
of uniform structures on `X`, as well as the pullback (`uniform_space.comap`) of uniform structures
coming from the pullback of filters.
Like distance functions, uniform structures cannot be pushed forward in general.
## Notations
Localized in `uniformity`, we have the notation `𝓤 X` for the uniformity on a uniform space `X`,
and `○` for composition of relations, seen as terms with type `set (X × X)`.
## Implementation notes
There is already a theory of relations in `data/rel.lean` where the main definition is
`def rel (α β : Type*) := α → β → Prop`.
The relations used in the current file involve only one type, but this is not the reason why
we don't reuse `data/rel.lean`. We use `set (α × α)`
instead of `rel α α` because we really need sets to use the filter library, and elements
of filters on `α × α` have type `set (α × α)`.
The structure `uniform_space X` bundles a uniform structure on `X`, a topology on `X` and
an assumption saying those are compatible. This may not seem mathematically reasonable at first,
but is in fact an instance of the forgetful inheritance pattern. See Note [forgetful inheritance]
below.
## References
The formalization uses the books:
* [N. Bourbaki, *General Topology*][bourbaki1966]
* [I. M. James, *Topologies and Uniformities*][james1999]
But it makes a more systematic use of the filter library.
-/
open set filter classical
open_locale classical topological_space filter
set_option eqn_compiler.zeta true
universes u
/-!
### Relations, seen as `set (α × α)`
-/
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} {ι : Sort*}
/-- The identity relation, or the graph of the identity function -/
def id_rel {α : Type*} := {p : α × α | p.1 = p.2}
@[simp] theorem mem_id_rel {a b : α} : (a, b) ∈ @id_rel α ↔ a = b := iff.rfl
@[simp] theorem id_rel_subset {s : set (α × α)} : id_rel ⊆ s ↔ ∀ a, (a, a) ∈ s :=
by simp [subset_def]; exact forall_congr (λ a, by simp)
/-- The composition of relations -/
def comp_rel {α : Type u} (r₁ r₂ : set (α×α)) := {p : α × α | ∃z:α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂}
localized "infix ` ○ `:55 := comp_rel" in uniformity
@[simp] theorem mem_comp_rel {r₁ r₂ : set (α×α)}
{x y : α} : (x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ := iff.rfl
@[simp] theorem swap_id_rel : prod.swap '' id_rel = @id_rel α :=
set.ext $ assume ⟨a, b⟩, by simp [image_swap_eq_preimage_swap]; exact eq_comm
theorem monotone_comp_rel [preorder β] {f g : β → set (α×α)}
(hf : monotone f) (hg : monotone g) : monotone (λx, (f x) ○ (g x)) :=
assume a b h p ⟨z, h₁, h₂⟩, ⟨z, hf h h₁, hg h h₂⟩
@[mono]
lemma comp_rel_mono {f g h k: set (α×α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k :=
λ ⟨x, y⟩ ⟨z, h, h'⟩, ⟨z, h₁ h, h₂ h'⟩
lemma prod_mk_mem_comp_rel {a b c : α} {s t : set (α×α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) :
(a, b) ∈ s ○ t :=
⟨c, h₁, h₂⟩
@[simp] lemma id_comp_rel {r : set (α×α)} : id_rel ○ r = r :=
set.ext $ assume ⟨a, b⟩, by simp
lemma comp_rel_assoc {r s t : set (α×α)} :
(r ○ s) ○ t = r ○ (s ○ t) :=
by ext p; cases p; simp only [mem_comp_rel]; tauto
lemma subset_comp_self {α : Type*} {s : set (α × α)} (h : id_rel ⊆ s) : s ⊆ s ○ s :=
λ ⟨x, y⟩ xy_in, ⟨x, h (by rw mem_id_rel), xy_in⟩
/-- The relation is invariant under swapping factors. -/
def symmetric_rel (V : set (α × α)) : Prop := prod.swap ⁻¹' V = V
/-- The maximal symmetric relation contained in a given relation. -/
def symmetrize_rel (V : set (α × α)) : set (α × α) := V ∩ prod.swap ⁻¹' V
lemma symmetric_symmetrize_rel (V : set (α × α)) : symmetric_rel (symmetrize_rel V) :=
by simp [symmetric_rel, symmetrize_rel, preimage_inter, inter_comm, ← preimage_comp]
lemma symmetrize_rel_subset_self (V : set (α × α)) : symmetrize_rel V ⊆ V :=
sep_subset _ _
@[mono]
lemma symmetrize_mono {V W: set (α × α)} (h : V ⊆ W) : symmetrize_rel V ⊆ symmetrize_rel W :=
inter_subset_inter h $ preimage_mono h
lemma symmetric_rel_inter {U V : set (α × α)} (hU : symmetric_rel U) (hV : symmetric_rel V) :
symmetric_rel (U ∩ V) :=
begin
unfold symmetric_rel at *,
rw [preimage_inter, hU, hV],
end
/-- This core description of a uniform space is outside of the type class hierarchy. It is useful
for constructions of uniform spaces, when the topology is derived from the uniform space. -/
structure uniform_space.core (α : Type u) :=
(uniformity : filter (α × α))
(refl : 𝓟 id_rel ≤ uniformity)
(symm : tendsto prod.swap uniformity uniformity)
(comp : uniformity.lift' (λs, s ○ s) ≤ uniformity)
/-- An alternative constructor for `uniform_space.core`. This version unfolds various
`filter`-related definitions. -/
def uniform_space.core.mk' {α : Type u} (U : filter (α × α))
(refl : ∀ (r ∈ U) x, (x, x) ∈ r)
(symm : ∀ r ∈ U, prod.swap ⁻¹' r ∈ U)
(comp : ∀ r ∈ U, ∃ t ∈ U, t ○ t ⊆ r) : uniform_space.core α :=
⟨U, λ r ru, id_rel_subset.2 (refl _ ru), symm,
begin
intros r ru,
rw [mem_lift'_sets],
exact comp _ ru,
apply monotone_comp_rel; exact monotone_id,
end⟩
/-- A uniform space generates a topological space -/
def uniform_space.core.to_topological_space {α : Type u} (u : uniform_space.core α) :
topological_space α :=
{ is_open := λs, ∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ u.uniformity,
is_open_univ := by simp; intro; exact univ_mem_sets,
is_open_inter :=
assume s t hs ht x ⟨xs, xt⟩, by filter_upwards [hs x xs, ht x xt]; simp {contextual := tt},
is_open_sUnion :=
assume s hs x ⟨t, ts, xt⟩, by filter_upwards [hs t ts x xt] assume p ph h, ⟨t, ts, ph h⟩ }
lemma uniform_space.core_eq : ∀{u₁ u₂ : uniform_space.core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| ⟨u₁, _, _, _⟩ ⟨u₂, _, _, _⟩ h := have u₁ = u₂, from h, by simp [*]
section prio
/-- Suppose that one can put two mathematical structures on a type, a rich one `R` and a poor one
`P`, and that one can deduce the poor structure from the rich structure through a map `F` (called a
forgetful functor) (think `R = metric_space` and `P = topological_space`). A possible
implementation would be to have a type class `rich` containing a field `R`, a type class `poor`
containing a field `P`, and an instance from `rich` to `poor`. However, this creates diamond
problems, and a better approach is to let `rich` extend `poor` and have a field saying that
`F R = P`.
To illustrate this, consider the pair `metric_space` / `topological_space`. Consider the topology
on a product of two metric spaces. With the first approach, it could be obtained by going first from
each metric space to its topology, and then taking the product topology. But it could also be
obtained by considering the product metric space (with its sup distance) and then the topology
coming from this distance. These would be the same topology, but not definitionally, which means
that from the point of view of Lean's kernel, there would be two different `topological_space`
instances on the product. This is not compatible with the way instances are designed and used:
there should be at most one instance of a kind on each type. This approach has created an instance
diamond that does not commute definitionally.
The second approach solves this issue. Now, a metric space contains both a distance, a topology, and
a proof that the topology coincides with the one coming from the distance. When one defines the
product of two metric spaces, one uses the sup distance and the product topology, and one has to
give the proof that the sup distance induces the product topology. Following both sides of the
instance diamond then gives rise (definitionally) to the product topology on the product space.
Another approach would be to have the rich type class take the poor type class as an instance
parameter. It would solve the diamond problem, but it would lead to a blow up of the number
of type classes one would need to declare to work with complicated classes, say a real inner
product space, and would create exponential complexity when working with products of
such complicated spaces, that are avoided by bundling things carefully as above.
Note that this description of this specific case of the product of metric spaces is oversimplified
compared to mathlib, as there is an intermediate typeclass between `metric_space` and
`topological_space` called `uniform_space`. The above scheme is used at both levels, embedding a
topology in the uniform space structure, and a uniform structure in the metric space structure.
Note also that, when `P` is a proposition, there is no such issue as any two proofs of `P` are
definitionally equivalent in Lean.
To avoid boilerplate, there are some designs that can automatically fill the poor fields when
creating a rich structure if one doesn't want to do something special about them. For instance,
in the definition of metric spaces, default tactics fill the uniform space fields if they are
not given explicitly. One can also have a helper function creating the rich structure from a
structure with less fields, where the helper function fills the remaining fields. See for instance
`uniform_space.of_core` or `real_inner_product.of_core`.
For more details on this question, called the forgetful inheritance pattern, see [Competing
inheritance paths in dependent type theory: a case study in functional
analysis](https://hal.inria.fr/hal-02463336).
-/
library_note "forgetful inheritance"
set_option default_priority 100 -- see Note [default priority]
/-- A uniform space is a generalization of the "uniform" topological aspects of a
metric space. It consists of a filter on `α × α` called the "uniformity", which
satisfies properties analogous to the reflexivity, symmetry, and triangle properties
of a metric.
A metric space has a natural uniformity, and a uniform space has a natural topology.
A topological group also has a natural uniformity, even when it is not metrizable. -/
class uniform_space (α : Type u) extends topological_space α, uniform_space.core α :=
(is_open_uniformity : ∀s, is_open s ↔ (∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ uniformity))
end prio
/-- Alternative constructor for `uniform_space α` when a topology is already given. -/
@[pattern] def uniform_space.mk' {α} (t : topological_space α)
(c : uniform_space.core α)
(is_open_uniformity : ∀s:set α, t.is_open s ↔
(∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ c.uniformity)) :
uniform_space α := ⟨c, is_open_uniformity⟩
/-- Construct a `uniform_space` from a `uniform_space.core`. -/
def uniform_space.of_core {α : Type u} (u : uniform_space.core α) : uniform_space α :=
{ to_core := u,
to_topological_space := u.to_topological_space,
is_open_uniformity := assume a, iff.rfl }
/-- Construct a `uniform_space` from a `u : uniform_space.core` and a `topological_space` structure
that is equal to `u.to_topological_space`. -/
def uniform_space.of_core_eq {α : Type u} (u : uniform_space.core α) (t : topological_space α)
(h : t = u.to_topological_space) : uniform_space α :=
{ to_core := u,
to_topological_space := t,
is_open_uniformity := assume a, h.symm ▸ iff.rfl }
lemma uniform_space.to_core_to_topological_space (u : uniform_space α) :
u.to_core.to_topological_space = u.to_topological_space :=
topological_space_eq $ funext $ assume s,
by rw [uniform_space.core.to_topological_space, uniform_space.is_open_uniformity]
@[ext]
lemma uniform_space_eq : ∀{u₁ u₂ : uniform_space α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| (uniform_space.mk' t₁ u₁ o₁) (uniform_space.mk' t₂ u₂ o₂) h :=
have u₁ = u₂, from uniform_space.core_eq h,
have t₁ = t₂, from topological_space_eq $ funext $ assume s, by rw [o₁, o₂]; simp [this],
by simp [*]
lemma uniform_space.of_core_eq_to_core
(u : uniform_space α) (t : topological_space α) (h : t = u.to_core.to_topological_space) :
uniform_space.of_core_eq u.to_core t h = u :=
uniform_space_eq rfl
section uniform_space
variables [uniform_space α]
/-- The uniformity is a filter on α × α (inferred from an ambient uniform space
structure on α). -/
def uniformity (α : Type u) [uniform_space α] : filter (α × α) :=
(@uniform_space.to_core α _).uniformity
localized "notation `𝓤` := uniformity" in uniformity
lemma is_open_uniformity {s : set α} :
is_open s ↔ (∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α) :=
uniform_space.is_open_uniformity s
lemma refl_le_uniformity : 𝓟 id_rel ≤ 𝓤 α :=
(@uniform_space.to_core α _).refl
lemma refl_mem_uniformity {x : α} {s : set (α × α)} (h : s ∈ 𝓤 α) :
(x, x) ∈ s :=
refl_le_uniformity h rfl
lemma symm_le_uniformity : map (@prod.swap α α) (𝓤 _) ≤ (𝓤 _) :=
(@uniform_space.to_core α _).symm
lemma comp_le_uniformity : (𝓤 α).lift' (λs:set (α×α), s ○ s) ≤ 𝓤 α :=
(@uniform_space.to_core α _).comp
lemma tendsto_swap_uniformity : tendsto (@prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
lemma comp_mem_uniformity_sets {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, t ○ t ⊆ s :=
have s ∈ (𝓤 α).lift' (λt:set (α×α), t ○ t),
from comp_le_uniformity hs,
(mem_lift'_sets $ monotone_comp_rel monotone_id monotone_id).mp this
/-- Relation `λ f g, tendsto (λ x, (f x, g x)) l (𝓤 α)` is transitive. -/
lemma filter.tendsto.uniformity_trans {l : filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : tendsto (λ x, (f₁ x, f₂ x)) l (𝓤 α)) (h₂₃ : tendsto (λ x, (f₂ x, f₃ x)) l (𝓤 α)) :
tendsto (λ x, (f₁ x, f₃ x)) l (𝓤 α) :=
begin
refine le_trans (le_lift' $ λ s hs, mem_map.2 _) comp_le_uniformity,
filter_upwards [h₁₂ hs, h₂₃ hs],
exact λ x hx₁₂ hx₂₃, ⟨_, hx₁₂, hx₂₃⟩
end
/-- Relation `λ f g, tendsto (λ x, (f x, g x)) l (𝓤 α)` is symmetric -/
lemma filter.tendsto.uniformity_symm {l : filter β} {f : β → α × α}
(h : tendsto f l (𝓤 α)) :
tendsto (λ x, ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
/-- Relation `λ f g, tendsto (λ x, (f x, g x)) l (𝓤 α)` is reflexive. -/
lemma tendsto_diag_uniformity (f : β → α) (l : filter β) :
tendsto (λ x, (f x, f x)) l (𝓤 α) :=
assume s hs, mem_map.2 $ univ_mem_sets' $ λ x, refl_mem_uniformity hs
lemma tendsto_const_uniformity {a : α} {f : filter β} : tendsto (λ _, (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (λ _, a) f
lemma symm_of_uniformity {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have preimage prod.swap s ∈ 𝓤 α, from symm_le_uniformity hs,
⟨s ∩ preimage prod.swap s, inter_mem_sets hs this, assume a b ⟨h₁, h₂⟩, ⟨h₂, h₁⟩, inter_subset_left _ _⟩
lemma comp_symm_of_uniformity {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀{a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s :=
let ⟨t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs in
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁ in
⟨t', ht', ht'₁, subset.trans (monotone_comp_rel monotone_id monotone_id ht'₂) ht₂⟩
lemma uniformity_le_symm : 𝓤 α ≤ (@prod.swap α α) <$> 𝓤 α :=
by rw [map_swap_eq_comap_swap];
from map_le_iff_le_comap.1 tendsto_swap_uniformity
lemma uniformity_eq_symm : 𝓤 α = (@prod.swap α α) <$> 𝓤 α :=
le_antisymm uniformity_le_symm symm_le_uniformity
lemma symmetrize_mem_uniformity {V : set (α × α)} (h : V ∈ 𝓤 α) : symmetrize_rel V ∈ 𝓤 α :=
begin
apply (𝓤 α).inter_sets h,
rw [← image_swap_eq_preimage_swap, uniformity_eq_symm],
exact image_mem_map h,
end
theorem uniformity_lift_le_swap {g : set (α×α) → filter β} {f : filter β} (hg : monotone g)
(h : (𝓤 α).lift (λs, g (preimage prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f :=
calc (𝓤 α).lift g ≤ (filter.map (@prod.swap α α) $ 𝓤 α).lift g :
lift_mono uniformity_le_symm (le_refl _)
... ≤ _ :
by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h
lemma uniformity_lift_le_comp {f : set (α×α) → filter β} (h : monotone f) :
(𝓤 α).lift (λs, f (s ○ s)) ≤ (𝓤 α).lift f :=
calc (𝓤 α).lift (λs, f (s ○ s)) =
((𝓤 α).lift' (λs:set (α×α), s ○ s)).lift f :
begin
rw [lift_lift'_assoc],
exact monotone_comp_rel monotone_id monotone_id,
exact h
end
... ≤ (𝓤 α).lift f : lift_mono comp_le_uniformity (le_refl _)
lemma comp_le_uniformity3 :
(𝓤 α).lift' (λs:set (α×α), s ○ (s ○ s)) ≤ (𝓤 α) :=
calc (𝓤 α).lift' (λd, d ○ (d ○ d)) =
(𝓤 α).lift (λs, (𝓤 α).lift' (λt:set(α×α), s ○ (t ○ t))) :
begin
rw [lift_lift'_same_eq_lift'],
exact (assume x, monotone_comp_rel monotone_const $ monotone_comp_rel monotone_id monotone_id),
exact (assume x, monotone_comp_rel monotone_id monotone_const),
end
... ≤ (𝓤 α).lift (λs, (𝓤 α).lift' (λt:set(α×α), s ○ t)) :
lift_mono' $ assume s hs, @uniformity_lift_le_comp α _ _ (𝓟 ∘ (○) s) $
monotone_principal.comp (monotone_comp_rel monotone_const monotone_id)
... = (𝓤 α).lift' (λs:set(α×α), s ○ s) :
lift_lift'_same_eq_lift'
(assume s, monotone_comp_rel monotone_const monotone_id)
(assume s, monotone_comp_rel monotone_id monotone_const)
... ≤ (𝓤 α) : comp_le_uniformity
lemma comp_symm_mem_uniformity_sets {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, symmetric_rel t ∧ t ○ t ⊆ s :=
begin
obtain ⟨w, w_in, w_sub⟩ : ∃ w ∈ 𝓤 α, w ○ w ⊆ s := comp_mem_uniformity_sets hs,
use [symmetrize_rel w, symmetrize_mem_uniformity w_in, symmetric_symmetrize_rel w],
have : symmetrize_rel w ⊆ w := symmetrize_rel_subset_self w,
calc symmetrize_rel w ○ symmetrize_rel w ⊆ w ○ w : by mono
... ⊆ s : w_sub,
end
lemma subset_comp_self_of_mem_uniformity {s : set (α × α)} (h : s ∈ 𝓤 α) : s ⊆ s ○ s :=
subset_comp_self (refl_le_uniformity h)
lemma comp_comp_symm_mem_uniformity_sets {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, symmetric_rel t ∧ t ○ t ○ t ⊆ s :=
begin
rcases comp_symm_mem_uniformity_sets hs with ⟨w, w_in, w_symm, w_sub⟩,
rcases comp_symm_mem_uniformity_sets w_in with ⟨t, t_in, t_symm, t_sub⟩,
use [t, t_in, t_symm],
have : t ⊆ t ○ t := subset_comp_self_of_mem_uniformity t_in,
calc
t ○ t ○ t ⊆ w ○ t : by mono
... ⊆ w ○ (t ○ t) : by mono
... ⊆ w ○ w : by mono
... ⊆ s : w_sub,
end
/-!
### Balls in uniform spaces
-/
/-- The ball around `(x : β)` with respect to `(V : set (β × β))`. Intended to be
used for `V ∈ 𝓤 β`, but this is not needed for the definition. Recovers the
notions of metric space ball when `V = {p | dist p.1 p.2 < r }`. -/
def uniform_space.ball (x : β) (V : set (β × β)) : set β := (prod.mk x) ⁻¹' V
open uniform_space (ball)
/-- The triangle inequality for `uniform_space.ball` -/
lemma mem_ball_comp {V W : set (β × β)} {x y z} (h : y ∈ ball x V) (h' : z ∈ ball y W) :
z ∈ ball x (V ○ W) :=
prod_mk_mem_comp_rel h h'
lemma ball_subset_of_comp_subset {V W : set (β × β)} {x y} (h : x ∈ ball y W) (h' : W ○ W ⊆ V) :
ball x W ⊆ ball y V :=
λ z z_in, h' (mem_ball_comp h z_in)
lemma ball_mono {V W : set (β × β)} (h : V ⊆ W) (x : β) : ball x V ⊆ ball x W :=
by tauto
lemma mem_ball_symmetry {V : set (β × β)} (hV : symmetric_rel V) {x y} :
x ∈ ball y V ↔ y ∈ ball x V :=
show (x, y) ∈ prod.swap ⁻¹' V ↔ (x, y) ∈ V, by { unfold symmetric_rel at hV, rw hV }
lemma ball_eq_of_symmetry {V : set (β × β)} (hV : symmetric_rel V) {x} :
ball x V = {y | (y, x) ∈ V} :=
by { ext y, rw mem_ball_symmetry hV, exact iff.rfl }
lemma mem_comp_of_mem_ball {V W : set (β × β)} {x y z : β} (hV : symmetric_rel V)
(hx : x ∈ ball z V) (hy : y ∈ ball z W) : (x, y) ∈ V ○ W :=
begin
rw mem_ball_symmetry hV at hx,
exact ⟨z, hx, hy⟩
end
lemma mem_comp_comp {V W M : set (β × β)} (hW' : symmetric_rel W) {p : β × β} :
p ∈ V ○ M ○ W ↔ ((ball p.1 V).prod (ball p.2 W) ∩ M).nonempty :=
begin
cases p with x y,
split,
{ rintros ⟨z, ⟨w, hpw, hwz⟩, hzy⟩,
exact ⟨(w, z), ⟨hpw, by rwa mem_ball_symmetry hW'⟩, hwz⟩, },
{ rintro ⟨⟨w, z⟩, ⟨w_in, z_in⟩, hwz⟩,
rwa mem_ball_symmetry hW' at z_in,
use [z, w] ; tauto },
end
/-!
### Neighborhoods in uniform spaces
-/
lemma mem_nhds_uniformity_iff_right {x : α} {s : set α} :
s ∈ 𝓝 x ↔ {p : α × α | p.1 = x → p.2 ∈ s} ∈ 𝓤 α :=
⟨ begin
simp only [mem_nhds_sets_iff, is_open_uniformity, and_imp, exists_imp_distrib],
exact assume t ts ht xt, by filter_upwards [ht x xt] assume ⟨x', y⟩ h eq, ts $ h eq
end,
assume hs,
mem_nhds_sets_iff.mpr ⟨{x | {p : α × α | p.1 = x → p.2 ∈ s} ∈ 𝓤 α},
assume x' hx', refl_mem_uniformity hx' rfl,
is_open_uniformity.mpr $ assume x' hx',
let ⟨t, ht, tr⟩ := comp_mem_uniformity_sets hx' in
by filter_upwards [ht] assume ⟨a, b⟩ hp' (hax' : a = x'),
by filter_upwards [ht] assume ⟨a, b'⟩ hp'' (hab : a = b),
have hp : (x', b) ∈ t, from hax' ▸ hp',
have (b, b') ∈ t, from hab ▸ hp'',
have (x', b') ∈ t ○ t, from ⟨b, hp, this⟩,
show b' ∈ s,
from tr this rfl,
hs⟩⟩
lemma mem_nhds_uniformity_iff_left {x : α} {s : set α} :
s ∈ 𝓝 x ↔ {p : α × α | p.2 = x → p.1 ∈ s} ∈ 𝓤 α :=
by { rw [uniformity_eq_symm, mem_nhds_uniformity_iff_right], refl }
lemma nhds_eq_comap_uniformity_aux {α : Type u} {x : α} {s : set α} {F : filter (α × α)} :
{p : α × α | p.fst = x → p.snd ∈ s} ∈ F ↔ s ∈ comap (prod.mk x) F :=
by rw mem_comap_sets ; from iff.intro
(assume hs, ⟨_, hs, assume x hx, hx rfl⟩)
(assume ⟨t, h, ht⟩, F.sets_of_superset h $
assume ⟨p₁, p₂⟩ hp (h : p₁ = x), ht $ by simp [h.symm, hp])
lemma nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (prod.mk x) :=
by { ext s, rw [mem_nhds_uniformity_iff_right], exact nhds_eq_comap_uniformity_aux }
lemma is_open_iff_ball_subset {s : set α} : is_open s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 α, ball x V ⊆ s :=
begin
simp_rw [is_open_iff_mem_nhds, nhds_eq_comap_uniformity],
exact iff.rfl,
end
lemma nhds_basis_uniformity' {p : β → Prop} {s : β → set (α × α)} (h : (𝓤 α).has_basis p s) {x : α} :
(𝓝 x).has_basis p (λ i, {y | (x, y) ∈ s i}) :=
by { rw [nhds_eq_comap_uniformity], exact h.comap (prod.mk x) }
lemma nhds_basis_uniformity {p : β → Prop} {s : β → set (α × α)} (h : (𝓤 α).has_basis p s) {x : α} :
(𝓝 x).has_basis p (λ i, {y | (y, x) ∈ s i}) :=
begin
replace h := h.comap prod.swap,
rw [← map_swap_eq_comap_swap, ← uniformity_eq_symm] at h,
exact nhds_basis_uniformity' h
end
lemma uniform_space.mem_nhds_iff {x : α} {s : set α} : s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, ball x V ⊆ s :=
begin
rw [nhds_eq_comap_uniformity, mem_comap_sets],
exact iff.rfl,
end
lemma uniform_space.ball_mem_nhds (x : α) ⦃V : set (α × α)⦄ (V_in : V ∈ 𝓤 α) : ball x V ∈ 𝓝 x :=
begin
rw uniform_space.mem_nhds_iff,
exact ⟨V, V_in, subset.refl _⟩
end
lemma uniform_space.mem_nhds_iff_symm {x : α} {s : set α} :
s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, symmetric_rel V ∧ ball x V ⊆ s :=
begin
rw uniform_space.mem_nhds_iff,
split,
{ rintros ⟨V, V_in, V_sub⟩,
use [symmetrize_rel V, symmetrize_mem_uniformity V_in, symmetric_symmetrize_rel V],
exact subset.trans (ball_mono (symmetrize_rel_subset_self V) x) V_sub },
{ rintros ⟨V, V_in, V_symm, V_sub⟩,
exact ⟨V, V_in, V_sub⟩ }
end
lemma uniform_space.has_basis_nhds (x : α) :
has_basis (𝓝 x) (λ s : set (α × α), s ∈ 𝓤 α ∧ symmetric_rel s) (λ s, ball x s) :=
⟨λ t, by simp [uniform_space.mem_nhds_iff_symm, and_assoc]⟩
open uniform_space
lemma uniform_space.has_basis_nhds_prod (x y : α) :
has_basis (𝓝 (x, y)) (λ s, s ∈ 𝓤 α ∧ symmetric_rel s) $ λ s, (ball x s).prod (ball y s) :=
begin
rw nhds_prod_eq,
apply (has_basis_nhds x).prod' (has_basis_nhds y),
rintro U V ⟨U_in, U_symm⟩ ⟨V_in, V_symm⟩,
exact ⟨U ∩ V, ⟨(𝓤 α).inter_sets U_in V_in, symmetric_rel_inter U_symm V_symm⟩,
ball_mono (inter_subset_left U V) x, ball_mono (inter_subset_right U V) y⟩,
end
lemma nhds_eq_uniformity {x : α} : 𝓝 x = (𝓤 α).lift' (λs:set (α×α), {y | (x, y) ∈ s}) :=
(nhds_basis_uniformity' (𝓤 α).basis_sets).eq_binfi
lemma mem_nhds_left (x : α) {s : set (α×α)} (h : s ∈ 𝓤 α) :
{y : α | (x, y) ∈ s} ∈ 𝓝 x :=
(nhds_basis_uniformity' (𝓤 α).basis_sets).mem_of_mem h
lemma mem_nhds_right (y : α) {s : set (α×α)} (h : s ∈ 𝓤 α) :
{x : α | (x, y) ∈ s} ∈ 𝓝 y :=
mem_nhds_left _ (symm_le_uniformity h)
lemma tendsto_right_nhds_uniformity {a : α} : tendsto (λa', (a', a)) (𝓝 a) (𝓤 α) :=
assume s, mem_nhds_right a
lemma tendsto_left_nhds_uniformity {a : α} : tendsto (λa', (a, a')) (𝓝 a) (𝓤 α) :=
assume s, mem_nhds_left a
lemma lift_nhds_left {x : α} {g : set α → filter β} (hg : monotone g) :
(𝓝 x).lift g = (𝓤 α).lift (λs:set (α×α), g {y | (x, y) ∈ s}) :=
eq.trans
begin
rw [nhds_eq_uniformity],
exact (filter.lift_assoc $ monotone_principal.comp $ monotone_preimage.comp monotone_preimage )
end
(congr_arg _ $ funext $ assume s, filter.lift_principal hg)
lemma lift_nhds_right {x : α} {g : set α → filter β} (hg : monotone g) :
(𝓝 x).lift g = (𝓤 α).lift (λs:set (α×α), g {y | (y, x) ∈ s}) :=
calc (𝓝 x).lift g = (𝓤 α).lift (λs:set (α×α), g {y | (x, y) ∈ s}) : lift_nhds_left hg
... = ((@prod.swap α α) <$> (𝓤 α)).lift (λs:set (α×α), g {y | (x, y) ∈ s}) : by rw [←uniformity_eq_symm]
... = (𝓤 α).lift (λs:set (α×α), g {y | (x, y) ∈ image prod.swap s}) :
map_lift_eq2 $ hg.comp monotone_preimage
... = _ : by simp [image_swap_eq_preimage_swap]
lemma nhds_nhds_eq_uniformity_uniformity_prod {a b : α} :
filter.prod (𝓝 a) (𝓝 b) =
(𝓤 α).lift (λs:set (α×α), (𝓤 α).lift' (λt:set (α×α),
set.prod {y : α | (y, a) ∈ s} {y : α | (b, y) ∈ t})) :=
begin
rw [prod_def],
show (𝓝 a).lift (λs:set α, (𝓝 b).lift (λt:set α, 𝓟 (set.prod s t))) = _,
rw [lift_nhds_right],
apply congr_arg, funext s,
rw [lift_nhds_left],
refl,
exact monotone_principal.comp (monotone_prod monotone_const monotone_id),
exact (monotone_lift' monotone_const $ monotone_lam $
assume x, monotone_prod monotone_id monotone_const)
end
lemma nhds_eq_uniformity_prod {a b : α} :
𝓝 (a, b) =
(𝓤 α).lift' (λs:set (α×α), set.prod {y : α | (y, a) ∈ s} {y : α | (b, y) ∈ s}) :=
begin
rw [nhds_prod_eq, nhds_nhds_eq_uniformity_uniformity_prod, lift_lift'_same_eq_lift'],
{ intro s, exact monotone_prod monotone_const monotone_preimage },
{ intro t, exact monotone_prod monotone_preimage monotone_const }
end
lemma nhdset_of_mem_uniformity {d : set (α×α)} (s : set (α×α)) (hd : d ∈ 𝓤 α) :
∃(t : set (α×α)), is_open t ∧ s ⊆ t ∧ t ⊆ {p | ∃x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d} :=
let cl_d := {p:α×α | ∃x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d} in
have ∀p ∈ s, ∃t ⊆ cl_d, is_open t ∧ p ∈ t, from
assume ⟨x, y⟩ hp, mem_nhds_sets_iff.mp $
show cl_d ∈ 𝓝 (x, y),
begin
rw [nhds_eq_uniformity_prod, mem_lift'_sets],
exact ⟨d, hd, assume ⟨a, b⟩ ⟨ha, hb⟩, ⟨x, y, ha, hp, hb⟩⟩,
exact monotone_prod monotone_preimage monotone_preimage
end,
have ∃t:(Π(p:α×α) (h:p ∈ s), set (α×α)),
∀p, ∀h:p ∈ s, t p h ⊆ cl_d ∧ is_open (t p h) ∧ p ∈ t p h,
by simp [classical.skolem] at this; simp; assumption,
match this with
| ⟨t, ht⟩ :=
⟨(⋃ p:α×α, ⋃ h : p ∈ s, t p h : set (α×α)),
is_open_Union $ assume (p:α×α), is_open_Union $ assume hp, (ht p hp).right.left,
assume ⟨a, b⟩ hp, begin simp; exact ⟨a, b, hp, (ht (a,b) hp).right.right⟩ end,
Union_subset $ assume p, Union_subset $ assume hp, (ht p hp).left⟩
end
/-- Entourages are neighborhoods of the diagonal. -/
lemma nhds_le_uniformity : (⨆ x : α, 𝓝 (x, x)) ≤ 𝓤 α :=
begin
apply supr_le _,
intros x V V_in,
rcases comp_symm_mem_uniformity_sets V_in with ⟨w, w_in, w_symm, w_sub⟩,
have : (ball x w).prod (ball x w) ∈ 𝓝 (x, x),
{ rw nhds_prod_eq,
exact prod_mem_prod (ball_mem_nhds x w_in) (ball_mem_nhds x w_in) },
apply mem_sets_of_superset this,
rintros ⟨u, v⟩ ⟨u_in, v_in⟩,
exact w_sub (mem_comp_of_mem_ball w_symm u_in v_in)
end
/-!
### Closure and interior in uniform spaces
-/
lemma closure_eq_uniformity (s : set $ α × α) :
closure s = ⋂ V ∈ {V | V ∈ 𝓤 α ∧ symmetric_rel V}, V ○ s ○ V :=
begin
ext ⟨x, y⟩,
simp_rw [mem_closure_iff_nhds_basis (uniform_space.has_basis_nhds_prod x y),
mem_Inter, mem_set_of_eq],
apply forall_congr,
intro V,
apply forall_congr,
rintros ⟨V_in, V_symm⟩,
simp_rw [mem_comp_comp V_symm, inter_comm, exists_prop],
exact iff.rfl,
end
lemma uniformity_has_basis_closed : has_basis (𝓤 α) (λ V : set (α × α), V ∈ 𝓤 α ∧ is_closed V) id :=
begin
rw filter.has_basis_self,
intro t,
split,
{ intro h,
rcases comp_comp_symm_mem_uniformity_sets h with ⟨w, w_in, w_symm, r⟩,
refine ⟨closure w, _, is_closed_closure, _⟩,
apply mem_sets_of_superset w_in subset_closure,
refine subset.trans _ r,
rw closure_eq_uniformity,
apply Inter_subset_of_subset,
apply Inter_subset,
exact ⟨w_in, w_symm⟩ },
{ rintros ⟨r, r_in, r_closed, r_sub⟩,
exact mem_sets_of_superset r_in r_sub, }
end
/-- Closed entourages form a basis of the uniformity filter. -/
lemma uniformity_has_basis_closure : has_basis (𝓤 α) (λ V : set (α × α), V ∈ 𝓤 α) closure :=
⟨begin
intro t,
rw uniformity_has_basis_closed.mem_iff,
split,
{ rintros ⟨r, ⟨r_in, r_closed⟩, r_sub⟩,
use [r, r_in],
convert r_sub,
rw r_closed.closure_eq,
refl },
{ rintros ⟨r, r_in, r_sub⟩,
exact ⟨closure r, ⟨mem_sets_of_superset r_in subset_closure, is_closed_closure⟩, r_sub⟩ }
end⟩
lemma closure_eq_inter_uniformity {t : set (α×α)} :
closure t = (⋂ d ∈ 𝓤 α, d ○ (t ○ d)) :=
set.ext $ assume ⟨a, b⟩,
calc (a, b) ∈ closure t ↔ (𝓝 (a, b) ⊓ 𝓟 t ≠ ⊥) : mem_closure_iff_cluster_pt
... ↔ (((@prod.swap α α) <$> 𝓤 α).lift'
(λ (s : set (α × α)), set.prod {x : α | (x, a) ∈ s} {y : α | (b, y) ∈ s}) ⊓ 𝓟 t ≠ ⊥) :
by rw [←uniformity_eq_symm, nhds_eq_uniformity_prod]
... ↔ ((map (@prod.swap α α) (𝓤 α)).lift'
(λ (s : set (α × α)), set.prod {x : α | (x, a) ∈ s} {y : α | (b, y) ∈ s}) ⊓ 𝓟 t ≠ ⊥) :
by refl
... ↔ ((𝓤 α).lift'
(λ (s : set (α × α)), set.prod {y : α | (a, y) ∈ s} {x : α | (x, b) ∈ s}) ⊓ 𝓟 t ≠ ⊥) :
begin
rw [map_lift'_eq2],
simp [image_swap_eq_preimage_swap, function.comp],
exact monotone_prod monotone_preimage monotone_preimage
end
... ↔ (∀s ∈ 𝓤 α, (set.prod {y : α | (a, y) ∈ s} {x : α | (x, b) ∈ s} ∩ t).nonempty) :
begin
rw [lift'_inf_principal_eq, ← ne_bot, lift'_ne_bot_iff],
exact monotone_inter (monotone_prod monotone_preimage monotone_preimage) monotone_const
end
... ↔ (∀ s ∈ 𝓤 α, (a, b) ∈ s ○ (t ○ s)) :
forall_congr $ assume s, forall_congr $ assume hs,
⟨assume ⟨⟨x, y⟩, ⟨⟨hx, hy⟩, hxyt⟩⟩, ⟨x, hx, y, hxyt, hy⟩,
assume ⟨x, hx, y, hxyt, hy⟩, ⟨⟨x, y⟩, ⟨⟨hx, hy⟩, hxyt⟩⟩⟩
... ↔ _ : by simp
lemma uniformity_eq_uniformity_closure : 𝓤 α = (𝓤 α).lift' closure :=
le_antisymm
(le_infi $ assume s, le_infi $ assume hs, by simp; filter_upwards [hs] subset_closure)
(calc (𝓤 α).lift' closure ≤ (𝓤 α).lift' (λd, d ○ (d ○ d)) :
lift'_mono' (by intros s hs; rw [closure_eq_inter_uniformity]; exact bInter_subset_of_mem hs)
... ≤ (𝓤 α) : comp_le_uniformity3)
lemma uniformity_eq_uniformity_interior : 𝓤 α = (𝓤 α).lift' interior :=
le_antisymm
(le_infi $ assume d, le_infi $ assume hd,
let ⟨s, hs, hs_comp⟩ := (mem_lift'_sets $
monotone_comp_rel monotone_id $ monotone_comp_rel monotone_id monotone_id).mp (comp_le_uniformity3 hd) in
let ⟨t, ht, hst, ht_comp⟩ := nhdset_of_mem_uniformity s hs in
have s ⊆ interior d, from
calc s ⊆ t : hst
... ⊆ interior d : (subset_interior_iff_subset_of_open ht).mpr $
assume x, assume : x ∈ t, let ⟨x, y, h₁, h₂, h₃⟩ := ht_comp this in hs_comp ⟨x, h₁, y, h₂, h₃⟩,
have interior d ∈ 𝓤 α, by filter_upwards [hs] this,
by simp [this])
(assume s hs, ((𝓤 α).lift' interior).sets_of_superset (mem_lift' hs) interior_subset)
lemma interior_mem_uniformity {s : set (α × α)} (hs : s ∈ 𝓤 α) :
interior s ∈ 𝓤 α :=
by rw [uniformity_eq_uniformity_interior]; exact mem_lift' hs
lemma mem_uniformity_is_closed {s : set (α×α)} (h : s ∈ 𝓤 α) :
∃t ∈ 𝓤 α, is_closed t ∧ t ⊆ s :=
have s ∈ (𝓤 α).lift' closure, by rwa [uniformity_eq_uniformity_closure] at h,
have ∃ t ∈ 𝓤 α, closure t ⊆ s,
by rwa [mem_lift'_sets] at this; apply closure_mono,
let ⟨t, ht, hst⟩ := this in
⟨closure t, (𝓤 α).sets_of_superset ht subset_closure, is_closed_closure, hst⟩
/-!
### Uniformity bases
-/
lemma filter.has_basis.mem_uniformity_iff {p : β → Prop} {s : β → set (α×α)}
(h : (𝓤 α).has_basis p s) {t : set (α × α)} :
t ∈ 𝓤 α ↔ ∃ i (hi : p i), ∀ a b, (a, b) ∈ s i → (a, b) ∈ t :=
h.mem_iff.trans $ by simp only [prod.forall, subset_def]
/-- Symmetric entourages form a basis of `𝓤 α` -/
lemma uniform_space.has_basis_symmetric :
(𝓤 α).has_basis (λ s : set (α × α), s ∈ 𝓤 α ∧ symmetric_rel s) id :=
⟨λ t, ⟨λ t_in, ⟨symmetrize_rel t,
⟨⟨symmetrize_mem_uniformity t_in, symmetric_symmetrize_rel t⟩,
symmetrize_rel_subset_self _⟩⟩,
λ ⟨s, ⟨s_in, h⟩, hst⟩, mem_sets_of_superset s_in hst⟩⟩
lemma uniform_space.has_seq_basis (h : is_countably_generated $ 𝓤 α) :
∃ V : ℕ → set (α × α), has_antimono_basis (𝓤 α) (λ _, true) V ∧ ∀ n, symmetric_rel (V n) :=
begin
rcases h.has_antimono_basis with ⟨U, hbasis, hdec, monotrue⟩, clear monotrue,
simp only [forall_prop_of_true] at hdec,
use λ n, symmetrize_rel (U n),
refine ⟨⟨⟨_⟩, by intros ; mono, by tauto⟩, λ n, symmetric_symmetrize_rel _⟩,
intros t,
rw hbasis.mem_iff,
split,
{ rintro ⟨i, _, hi⟩,
exact ⟨i, trivial, subset.trans (inter_subset_left _ _) hi⟩ },
{ rintro ⟨i, _, hi⟩,
rcases hbasis.mem_iff.mp (symmetrize_mem_uniformity $ hbasis.mem_of_mem trivial)
with ⟨j, _, hj⟩,
use j,
tauto }
end
/-! ### Uniform continuity -/
/-- A function `f : α → β` is *uniformly continuous* if `(f x, f y)` tends to the diagonal
as `(x, y)` tends to the diagonal. In other words, if `x` is sufficiently close to `y`, then
`f x` is close to `f y` no matter where `x` and `y` are located in `α`. -/
def uniform_continuous [uniform_space β] (f : α → β) :=
tendsto (λx:α×α, (f x.1, f x.2)) (𝓤 α) (𝓤 β)
/-- A function `f : α → β` is *uniformly continuous* on `s : set α` if `(f x, f y)` tends to
the diagonal as `(x, y)` tends to the diagonal while remaining in `s.prod s`.
In other words, if `x` is sufficiently close to `y`, then `f x` is close to
`f y` no matter where `x` and `y` are located in `s`.-/
def uniform_continuous_on [uniform_space β] (f : α → β) (s : set α) : Prop :=
tendsto (λ x : α × α, (f x.1, f x.2)) (𝓤 α ⊓ principal (s.prod s)) (𝓤 β)
theorem uniform_continuous_def [uniform_space β] {f : α → β} :
uniform_continuous f ↔ ∀ r ∈ 𝓤 β, { x : α × α | (f x.1, f x.2) ∈ r} ∈ 𝓤 α :=
iff.rfl
theorem uniform_continuous_iff_eventually [uniform_space β] {f : α → β} :
uniform_continuous f ↔ ∀ r ∈ 𝓤 β, ∀ᶠ (x : α × α) in 𝓤 α, (f x.1, f x.2) ∈ r :=
iff.rfl
lemma uniform_continuous_of_const [uniform_space β] {c : α → β} (h : ∀a b, c a = c b) :
uniform_continuous c :=
have (λ (x : α × α), (c (x.fst), c (x.snd))) ⁻¹' id_rel = univ, from
eq_univ_iff_forall.2 $ assume ⟨a, b⟩, h a b,
le_trans (map_le_iff_le_comap.2 $ by simp [comap_principal, this, univ_mem_sets]) refl_le_uniformity
lemma uniform_continuous_id : uniform_continuous (@id α) :=
by simp [uniform_continuous]; exact tendsto_id
lemma uniform_continuous_const [uniform_space β] {b : β} : uniform_continuous (λa:α, b) :=
uniform_continuous_of_const $ λ _ _, rfl
lemma uniform_continuous.comp [uniform_space β] [uniform_space γ] {g : β → γ} {f : α → β}
(hg : uniform_continuous g) (hf : uniform_continuous f) : uniform_continuous (g ∘ f) :=
hg.comp hf
lemma filter.has_basis.uniform_continuous_iff [uniform_space β] {p : γ → Prop} {s : γ → set (α×α)}
(ha : (𝓤 α).has_basis p s) {q : δ → Prop} {t : δ → set (β×β)} (hb : (𝓤 β).has_basis q t)
{f : α → β} :
uniform_continuous f ↔ ∀ i (hi : q i), ∃ j (hj : p j), ∀ x y, (x, y) ∈ s j → (f x, f y) ∈ t i :=
(ha.tendsto_iff hb).trans $ by simp only [prod.forall]
end uniform_space
open_locale uniformity
section constructions
instance : partial_order (uniform_space α) :=
{ le := λt s, t.uniformity ≤ s.uniformity,
le_antisymm := assume t s h₁ h₂, uniform_space_eq $ le_antisymm h₁ h₂,
le_refl := assume t, le_refl _,
le_trans := assume a b c h₁ h₂, le_trans h₁ h₂ }
instance : has_Inf (uniform_space α) :=
⟨assume s, uniform_space.of_core {
uniformity := (⨅u∈s, @uniformity α u),
refl := le_infi $ assume u, le_infi $ assume hu, u.refl,
symm := le_infi $ assume u, le_infi $ assume hu,
le_trans (map_mono $ infi_le_of_le _ $ infi_le _ hu) u.symm,
comp := le_infi $ assume u, le_infi $ assume hu,
le_trans (lift'_mono (infi_le_of_le _ $ infi_le _ hu) $ le_refl _) u.comp }⟩
private lemma Inf_le {tt : set (uniform_space α)} {t : uniform_space α} (h : t ∈ tt) :
Inf tt ≤ t :=
show (⨅u∈tt, @uniformity α u) ≤ t.uniformity,
from infi_le_of_le t $ infi_le _ h
private lemma le_Inf {tt : set (uniform_space α)} {t : uniform_space α} (h : ∀t'∈tt, t ≤ t') :
t ≤ Inf tt :=
show t.uniformity ≤ (⨅u∈tt, @uniformity α u),
from le_infi $ assume t', le_infi $ assume ht', h t' ht'
instance : has_top (uniform_space α) :=
⟨uniform_space.of_core { uniformity := ⊤, refl := le_top, symm := le_top, comp := le_top }⟩
instance : has_bot (uniform_space α) :=
⟨{ to_topological_space := ⊥,
uniformity := 𝓟 id_rel,
refl := le_refl _,
symm := by simp [tendsto]; apply subset.refl,
comp :=
begin
rw [lift'_principal], {simp},
exact monotone_comp_rel monotone_id monotone_id
end,
is_open_uniformity :=
assume s, by simp [is_open_fold, subset_def, id_rel] {contextual := tt } } ⟩
instance : complete_lattice (uniform_space α) :=
{ sup := λa b, Inf {x | a ≤ x ∧ b ≤ x},
le_sup_left := λ a b, le_Inf (λ _ ⟨h, _⟩, h),
le_sup_right := λ a b, le_Inf (λ _ ⟨_, h⟩, h),
sup_le := λ a b c h₁ h₂, Inf_le ⟨h₁, h₂⟩,
inf := λ a b, Inf {a, b},
le_inf := λ a b c h₁ h₂, le_Inf (λ u h,
by { cases h, exact h.symm ▸ h₁, exact (mem_singleton_iff.1 h).symm ▸ h₂ }),
inf_le_left := λ a b, Inf_le (by simp),
inf_le_right := λ a b, Inf_le (by simp),
top := ⊤,
le_top := λ a, show a.uniformity ≤ ⊤, from le_top,
bot := ⊥,
bot_le := λ u, u.refl,
Sup := λ tt, Inf {t | ∀ t' ∈ tt, t' ≤ t},
le_Sup := λ s u h, le_Inf (λ u' h', h' u h),
Sup_le := λ s u h, Inf_le h,
Inf := Inf,
le_Inf := λ s a hs, le_Inf hs,
Inf_le := λ s a ha, Inf_le ha,
..uniform_space.partial_order }
lemma infi_uniformity {ι : Sort*} {u : ι → uniform_space α} :
(infi u).uniformity = (⨅i, (u i).uniformity) :=
show (⨅a (h : ∃i:ι, u i = a), a.uniformity) = _, from
le_antisymm
(le_infi $ assume i, infi_le_of_le (u i) $ infi_le _ ⟨i, rfl⟩)
(le_infi $ assume a, le_infi $ assume ⟨i, (ha : u i = a)⟩, ha ▸ infi_le _ _)
lemma inf_uniformity {u v : uniform_space α} :
(u ⊓ v).uniformity = u.uniformity ⊓ v.uniformity :=
have (u ⊓ v) = (⨅i (h : i = u ∨ i = v), i), by simp [infi_or, infi_inf_eq],
calc (u ⊓ v).uniformity = ((⨅i (h : i = u ∨ i = v), i) : uniform_space α).uniformity : by rw [this]
... = _ : by simp [infi_uniformity, infi_or, infi_inf_eq]
instance inhabited_uniform_space : inhabited (uniform_space α) := ⟨⊥⟩
instance inhabited_uniform_space_core : inhabited (uniform_space.core α) :=
⟨@uniform_space.to_core _ (default _)⟩
/-- Given `f : α → β` and a uniformity `u` on `β`, the inverse image of `u` under `f`
is the inverse image in the filter sense of the induced function `α × α → β × β`. -/
def uniform_space.comap (f : α → β) (u : uniform_space β) : uniform_space α :=
{ uniformity := u.uniformity.comap (λp:α×α, (f p.1, f p.2)),
to_topological_space := u.to_topological_space.induced f,
refl := le_trans (by simp; exact assume ⟨a, b⟩ (h : a = b), h ▸ rfl) (comap_mono u.refl),
symm := by simp [tendsto_comap_iff, prod.swap, (∘)]; exact tendsto_swap_uniformity.comp tendsto_comap,
comp := le_trans
begin
rw [comap_lift'_eq, comap_lift'_eq2],
exact (lift'_mono' $ assume s hs ⟨a₁, a₂⟩ ⟨x, h₁, h₂⟩, ⟨f x, h₁, h₂⟩),
repeat { exact monotone_comp_rel monotone_id monotone_id }
end
(comap_mono u.comp),
is_open_uniformity := λ s, begin
change (@is_open α (u.to_topological_space.induced f) s ↔ _),
simp [is_open_iff_nhds, nhds_induced, mem_nhds_uniformity_iff_right, filter.comap, and_comm],
refine ball_congr (λ x hx, ⟨_, _⟩),
{ rintro ⟨t, hts, ht⟩, refine ⟨_, ht, _⟩,
rintro ⟨x₁, x₂⟩ h rfl, exact hts (h rfl) },
{ rintro ⟨t, ht, hts⟩,
exact ⟨{y | (f x, y) ∈ t}, λ y hy, @hts (x, y) hy rfl,
mem_nhds_uniformity_iff_right.1 $ mem_nhds_left _ ht⟩ }
end }
lemma uniformity_comap [uniform_space α] [uniform_space β] {f : α → β}
(h : ‹uniform_space α› = uniform_space.comap f ‹uniform_space β›) :
𝓤 α = comap (prod.map f f) (𝓤 β) :=
by { rw h, refl }
lemma uniform_space_comap_id {α : Type*} : uniform_space.comap (id : α → α) = id :=
by ext u ; dsimp [uniform_space.comap] ; rw [prod.id_prod, filter.comap_id]
lemma uniform_space.comap_comap {α β γ} [uγ : uniform_space γ] {f : α → β} {g : β → γ} :
uniform_space.comap (g ∘ f) uγ = uniform_space.comap f (uniform_space.comap g uγ) :=
by ext ; dsimp [uniform_space.comap] ; rw filter.comap_comap
lemma uniform_continuous_iff {α β} [uα : uniform_space α] [uβ : uniform_space β] {f : α → β} :
uniform_continuous f ↔ uα ≤ uβ.comap f :=
filter.map_le_iff_le_comap
lemma uniform_continuous_comap {f : α → β} [u : uniform_space β] :
@uniform_continuous α β (uniform_space.comap f u) u f :=
tendsto_comap
theorem to_topological_space_comap {f : α → β} {u : uniform_space β} :
@uniform_space.to_topological_space _ (uniform_space.comap f u) =
topological_space.induced f (@uniform_space.to_topological_space β u) := rfl
lemma uniform_continuous_comap' {f : γ → β} {g : α → γ} [v : uniform_space β] [u : uniform_space α]
(h : uniform_continuous (f ∘ g)) : @uniform_continuous α γ u (uniform_space.comap f v) g :=
tendsto_comap_iff.2 h
lemma to_topological_space_mono {u₁ u₂ : uniform_space α} (h : u₁ ≤ u₂) :
@uniform_space.to_topological_space _ u₁ ≤ @uniform_space.to_topological_space _ u₂ :=
le_of_nhds_le_nhds $ assume a,
by rw [@nhds_eq_uniformity α u₁ a, @nhds_eq_uniformity α u₂ a]; exact (lift'_mono h $ le_refl _)
lemma uniform_continuous.continuous [uniform_space α] [uniform_space β] {f : α → β}
(hf : uniform_continuous f) : continuous f :=
continuous_iff_le_induced.mpr $ to_topological_space_mono $ uniform_continuous_iff.1 hf
lemma to_topological_space_bot : @uniform_space.to_topological_space α ⊥ = ⊥ := rfl
lemma to_topological_space_top : @uniform_space.to_topological_space α ⊤ = ⊤ :=
top_unique $ assume s hs, s.eq_empty_or_nonempty.elim
(assume : s = ∅, this.symm ▸ @is_open_empty _ ⊤)
(assume ⟨x, hx⟩,
have s = univ, from top_unique $ assume y hy, hs x hx (x, y) rfl,
this.symm ▸ @is_open_univ _ ⊤)
lemma to_topological_space_infi {ι : Sort*} {u : ι → uniform_space α} :
(infi u).to_topological_space = ⨅i, (u i).to_topological_space :=
begin
by_cases h : nonempty ι,
{ resetI,
refine (eq_of_nhds_eq_nhds $ assume a, _),
rw [nhds_infi, nhds_eq_uniformity],
change (infi u).uniformity.lift' (preimage $ prod.mk a) = _,
rw [infi_uniformity, lift'_infi],
{ simp only [nhds_eq_uniformity], refl },
{ exact assume a b, rfl } },
{ rw [infi_of_empty h, infi_of_empty h, to_topological_space_top] }
end
lemma to_topological_space_Inf {s : set (uniform_space α)} :
(Inf s).to_topological_space = (⨅i∈s, @uniform_space.to_topological_space α i) :=
begin
rw [Inf_eq_infi],
simp only [← to_topological_space_infi],
end
lemma to_topological_space_inf {u v : uniform_space α} :
(u ⊓ v).to_topological_space = u.to_topological_space ⊓ v.to_topological_space :=
by rw [to_topological_space_Inf, infi_pair]
instance : uniform_space empty := ⊥
instance : uniform_space unit := ⊥
instance : uniform_space bool := ⊥
instance : uniform_space ℕ := ⊥
instance : uniform_space ℤ := ⊥
instance {p : α → Prop} [t : uniform_space α] : uniform_space (subtype p) :=
uniform_space.comap subtype.val t
lemma uniformity_subtype {p : α → Prop} [t : uniform_space α] :
𝓤 (subtype p) = comap (λq:subtype p × subtype p, (q.1.1, q.2.1)) (𝓤 α) :=
rfl
lemma uniform_continuous_subtype_val {p : α → Prop} [uniform_space α] :
uniform_continuous (subtype.val : {a : α // p a} → α) :=
uniform_continuous_comap
lemma uniform_continuous_subtype_mk {p : α → Prop} [uniform_space α] [uniform_space β]
{f : β → α} (hf : uniform_continuous f) (h : ∀x, p (f x)) :
uniform_continuous (λx, ⟨f x, h x⟩ : β → subtype p) :=
uniform_continuous_comap' hf
lemma uniform_continuous_on_iff_restrict [uniform_space α] [uniform_space β] (f : α → β) (s : set α) :
uniform_continuous_on f s ↔ uniform_continuous (s.restrict f) :=
begin
unfold uniform_continuous_on set.restrict uniform_continuous tendsto,
rw [show (λ x : s × s, (f x.1, f x.2)) = prod.map f f ∘ coe, by ext x; cases x; refl,
uniformity_comap rfl,
show prod.map subtype.val subtype.val = (coe : s × s → α × α), by ext x; cases x; refl],
conv in (map _ (comap _ _)) { rw ← filter.map_map },
rw subtype_coe_map_comap_prod, refl,
end
lemma tendsto_of_uniform_continuous_subtype
[uniform_space α] [uniform_space β] {f : α → β} {s : set α} {a : α}
(hf : uniform_continuous (λx:s, f x.val)) (ha : s ∈ 𝓝 a) :
tendsto f (𝓝 a) (𝓝 (f a)) :=
by rw [(@map_nhds_subtype_coe_eq α _ s a (mem_of_nhds ha) ha).symm]; exact
tendsto_map' (continuous_iff_continuous_at.mp hf.continuous _)
section prod
/- a similar product space is possible on the function space (uniformity of pointwise convergence),
but we want to have the uniformity of uniform convergence on function spaces -/
instance [u₁ : uniform_space α] [u₂ : uniform_space β] : uniform_space (α × β) :=
uniform_space.of_core_eq
(u₁.comap prod.fst ⊓ u₂.comap prod.snd).to_core
prod.topological_space
(calc prod.topological_space = (u₁.comap prod.fst ⊓ u₂.comap prod.snd).to_topological_space :
by rw [to_topological_space_inf, to_topological_space_comap, to_topological_space_comap]; refl
... = _ : by rw [uniform_space.to_core_to_topological_space])
theorem uniformity_prod [uniform_space α] [uniform_space β] : 𝓤 (α × β) =
(𝓤 α).comap (λp:(α × β) × α × β, (p.1.1, p.2.1)) ⊓
(𝓤 β).comap (λp:(α × β) × α × β, (p.1.2, p.2.2)) :=
inf_uniformity
lemma uniformity_prod_eq_prod [uniform_space α] [uniform_space β] :
𝓤 (α×β) =
map (λp:(α×α)×(β×β), ((p.1.1, p.2.1), (p.1.2, p.2.2))) (filter.prod (𝓤 α) (𝓤 β)) :=
have map (λp:(α×α)×(β×β), ((p.1.1, p.2.1), (p.1.2, p.2.2))) =
comap (λp:(α×β)×(α×β), ((p.1.1, p.2.1), (p.1.2, p.2.2))),
from funext $ assume f, map_eq_comap_of_inverse
(funext $ assume ⟨⟨_, _⟩, ⟨_, _⟩⟩, rfl) (funext $ assume ⟨⟨_, _⟩, ⟨_, _⟩⟩, rfl),
by rw [this, uniformity_prod, filter.prod, comap_inf, comap_comap, comap_comap]
lemma mem_map_sets_iff' {α : Type*} {β : Type*} {f : filter α} {m : α → β} {t : set β} :
t ∈ (map m f).sets ↔ (∃s∈f, m '' s ⊆ t) :=
mem_map_sets_iff
lemma mem_uniformity_of_uniform_continuous_invariant [uniform_space α] {s:set (α×α)} {f : α → α → α}
(hf : uniform_continuous (λp:α×α, f p.1 p.2)) (hs : s ∈ 𝓤 α) :
∃u∈𝓤 α, ∀a b c, (a, b) ∈ u → (f a c, f b c) ∈ s :=
begin
rw [uniform_continuous, uniformity_prod_eq_prod, tendsto_map'_iff, (∘)] at hf,
rcases mem_map_sets_iff'.1 (hf hs) with ⟨t, ht, hts⟩, clear hf,
rcases mem_prod_iff.1 ht with ⟨u, hu, v, hv, huvt⟩, clear ht,
refine ⟨u, hu, assume a b c hab, hts $ (mem_image _ _ _).2 ⟨⟨⟨a, b⟩, ⟨c, c⟩⟩, huvt ⟨_, _⟩, _⟩⟩,
exact hab,
exact refl_mem_uniformity hv,
refl
end
lemma mem_uniform_prod [t₁ : uniform_space α] [t₂ : uniform_space β] {a : set (α × α)} {b : set (β × β)}
(ha : a ∈ 𝓤 α) (hb : b ∈ 𝓤 β) :
{p:(α×β)×(α×β) | (p.1.1, p.2.1) ∈ a ∧ (p.1.2, p.2.2) ∈ b } ∈ (@uniformity (α × β) _) :=
by rw [uniformity_prod]; exact inter_mem_inf_sets (preimage_mem_comap ha) (preimage_mem_comap hb)
lemma tendsto_prod_uniformity_fst [uniform_space α] [uniform_space β] :
tendsto (λp:(α×β)×(α×β), (p.1.1, p.2.1)) (𝓤 (α × β)) (𝓤 α) :=
le_trans (map_mono (@inf_le_left (uniform_space (α×β)) _ _ _)) map_comap_le
lemma tendsto_prod_uniformity_snd [uniform_space α] [uniform_space β] :
tendsto (λp:(α×β)×(α×β), (p.1.2, p.2.2)) (𝓤 (α × β)) (𝓤 β) :=
le_trans (map_mono (@inf_le_right (uniform_space (α×β)) _ _ _)) map_comap_le
lemma uniform_continuous_fst [uniform_space α] [uniform_space β] : uniform_continuous (λp:α×β, p.1) :=
tendsto_prod_uniformity_fst
lemma uniform_continuous_snd [uniform_space α] [uniform_space β] : uniform_continuous (λp:α×β, p.2) :=
tendsto_prod_uniformity_snd
variables [uniform_space α] [uniform_space β] [uniform_space γ]
lemma uniform_continuous.prod_mk
{f₁ : α → β} {f₂ : α → γ} (h₁ : uniform_continuous f₁) (h₂ : uniform_continuous f₂) :
uniform_continuous (λa, (f₁ a, f₂ a)) :=
by rw [uniform_continuous, uniformity_prod]; exact
tendsto_inf.2 ⟨tendsto_comap_iff.2 h₁, tendsto_comap_iff.2 h₂⟩
lemma uniform_continuous.prod_mk_left {f : α × β → γ} (h : uniform_continuous f) (b) :
uniform_continuous (λ a, f (a,b)) :=
h.comp (uniform_continuous_id.prod_mk uniform_continuous_const)
lemma uniform_continuous.prod_mk_right {f : α × β → γ} (h : uniform_continuous f) (a) :
uniform_continuous (λ b, f (a,b)) :=
h.comp (uniform_continuous_const.prod_mk uniform_continuous_id)
lemma uniform_continuous.prod_map [uniform_space δ] {f : α → γ} {g : β → δ}
(hf : uniform_continuous f) (hg : uniform_continuous g) :
uniform_continuous (prod.map f g) :=
(hf.comp uniform_continuous_fst).prod_mk (hg.comp uniform_continuous_snd)
lemma to_topological_space_prod {α} {β} [u : uniform_space α] [v : uniform_space β] :
@uniform_space.to_topological_space (α × β) prod.uniform_space =
@prod.topological_space α β u.to_topological_space v.to_topological_space := rfl
end prod
section
open uniform_space function
variables {δ' : Type*} [uniform_space α] [uniform_space β] [uniform_space γ] [uniform_space δ]
[uniform_space δ']
local notation f `∘₂` g := function.bicompr f g
/-- Uniform continuity for functions of two variables. -/
def uniform_continuous₂ (f : α → β → γ) := uniform_continuous (uncurry f)
lemma uniform_continuous₂_def (f : α → β → γ) :
uniform_continuous₂ f ↔ uniform_continuous (uncurry f) := iff.rfl
lemma uniform_continuous₂.uniform_continuous {f : α → β → γ} (h : uniform_continuous₂ f) :
uniform_continuous (uncurry f) := h
lemma uniform_continuous₂_curry (f : α × β → γ) :
uniform_continuous₂ (function.curry f) ↔ uniform_continuous f :=
by rw [uniform_continuous₂, uncurry_curry]
lemma uniform_continuous₂.comp {f : α → β → γ} {g : γ → δ}
(hg : uniform_continuous g) (hf : uniform_continuous₂ f) :
uniform_continuous₂ (g ∘₂ f) :=
hg.comp hf
lemma uniform_continuous₂.bicompl {f : α → β → γ} {ga : δ → α} {gb : δ' → β}
(hf : uniform_continuous₂ f) (hga : uniform_continuous ga) (hgb : uniform_continuous gb) :
uniform_continuous₂ (bicompl f ga gb) :=
hf.uniform_continuous.comp (hga.prod_map hgb)
end
lemma to_topological_space_subtype [u : uniform_space α] {p : α → Prop} :
@uniform_space.to_topological_space (subtype p) subtype.uniform_space =
@subtype.topological_space α p u.to_topological_space := rfl
section sum
variables [uniform_space α] [uniform_space β]
open sum
/-- Uniformity on a disjoint union. Entourages of the diagonal in the union are obtained
by taking independently an entourage of the diagonal in the first part, and an entourage of
the diagonal in the second part. -/
def uniform_space.core.sum : uniform_space.core (α ⊕ β) :=
uniform_space.core.mk'
(map (λ p : α × α, (inl p.1, inl p.2)) (𝓤 α) ⊔ map (λ p : β × β, (inr p.1, inr p.2)) (𝓤 β))
(λ r ⟨H₁, H₂⟩ x, by cases x; [apply refl_mem_uniformity H₁, apply refl_mem_uniformity H₂])
(λ r ⟨H₁, H₂⟩, ⟨symm_le_uniformity H₁, symm_le_uniformity H₂⟩)
(λ r ⟨Hrα, Hrβ⟩, begin
rcases comp_mem_uniformity_sets Hrα with ⟨tα, htα, Htα⟩,
rcases comp_mem_uniformity_sets Hrβ with ⟨tβ, htβ, Htβ⟩,
refine ⟨_,
⟨mem_map_sets_iff.2 ⟨tα, htα, subset_union_left _ _⟩,
mem_map_sets_iff.2 ⟨tβ, htβ, subset_union_right _ _⟩⟩, _⟩,
rintros ⟨_, _⟩ ⟨z, ⟨⟨a, b⟩, hab, ⟨⟩⟩ | ⟨⟨a, b⟩, hab, ⟨⟩⟩,
⟨⟨_, c⟩, hbc, ⟨⟩⟩ | ⟨⟨_, c⟩, hbc, ⟨⟩⟩⟩,
{ have A : (a, c) ∈ tα ○ tα := ⟨b, hab, hbc⟩,
exact Htα A },
{ have A : (a, c) ∈ tβ ○ tβ := ⟨b, hab, hbc⟩,
exact Htβ A }
end)
/-- The union of an entourage of the diagonal in each set of a disjoint union is again an entourage
of the diagonal. -/
lemma union_mem_uniformity_sum
{a : set (α × α)} (ha : a ∈ 𝓤 α) {b : set (β × β)} (hb : b ∈ 𝓤 β) :
((λ p : (α × α), (inl p.1, inl p.2)) '' a ∪ (λ p : (β × β), (inr p.1, inr p.2)) '' b) ∈
(@uniform_space.core.sum α β _ _).uniformity :=
⟨mem_map_sets_iff.2 ⟨_, ha, subset_union_left _ _⟩, mem_map_sets_iff.2 ⟨_, hb, subset_union_right _ _⟩⟩
/- To prove that the topology defined by the uniform structure on the disjoint union coincides with
the disjoint union topology, we need two lemmas saying that open sets can be characterized by
the uniform structure -/
lemma uniformity_sum_of_open_aux {s : set (α ⊕ β)} (hs : is_open s) {x : α ⊕ β} (xs : x ∈ s) :
{ p : ((α ⊕ β) × (α ⊕ β)) | p.1 = x → p.2 ∈ s } ∈ (@uniform_space.core.sum α β _ _).uniformity :=
begin
cases x,
{ refine mem_sets_of_superset
(union_mem_uniformity_sum (mem_nhds_uniformity_iff_right.1 (mem_nhds_sets hs.1 xs)) univ_mem_sets)
(union_subset _ _);
rintro _ ⟨⟨_, b⟩, h, ⟨⟩⟩ ⟨⟩,
exact h rfl },
{ refine mem_sets_of_superset
(union_mem_uniformity_sum univ_mem_sets (mem_nhds_uniformity_iff_right.1 (mem_nhds_sets hs.2 xs)))
(union_subset _ _);
rintro _ ⟨⟨a, _⟩, h, ⟨⟩⟩ ⟨⟩,
exact h rfl },
end
lemma open_of_uniformity_sum_aux {s : set (α ⊕ β)}
(hs : ∀x ∈ s, { p : ((α ⊕ β) × (α ⊕ β)) | p.1 = x → p.2 ∈ s } ∈ (@uniform_space.core.sum α β _ _).uniformity) :
is_open s :=
begin
split,
{ refine (@is_open_iff_mem_nhds α _ _).2 (λ a ha, mem_nhds_uniformity_iff_right.2 _),
rcases mem_map_sets_iff.1 (hs _ ha).1 with ⟨t, ht, st⟩,
refine mem_sets_of_superset ht _,
rintro p pt rfl, exact st ⟨_, pt, rfl⟩ rfl },
{ refine (@is_open_iff_mem_nhds β _ _).2 (λ b hb, mem_nhds_uniformity_iff_right.2 _),
rcases mem_map_sets_iff.1 (hs _ hb).2 with ⟨t, ht, st⟩,
refine mem_sets_of_superset ht _,
rintro p pt rfl, exact st ⟨_, pt, rfl⟩ rfl }
end
/- We can now define the uniform structure on the disjoint union -/
instance sum.uniform_space : uniform_space (α ⊕ β) :=
{ to_core := uniform_space.core.sum,
is_open_uniformity := λ s, ⟨uniformity_sum_of_open_aux, open_of_uniformity_sum_aux⟩ }
lemma sum.uniformity : 𝓤 (α ⊕ β) =
map (λ p : α × α, (inl p.1, inl p.2)) (𝓤 α) ⊔
map (λ p : β × β, (inr p.1, inr p.2)) (𝓤 β) := rfl
end sum
end constructions
-- For a version of the Lebesgue number lemma assuming only a sequentially compact space,
-- see topology/sequences.lean
/-- Let `c : ι → set α` be an open cover of a compact set `s`. Then there exists an entourage
`n` such that for each `x ∈ s` its `n`-neighborhood is contained in some `c i`. -/
lemma lebesgue_number_lemma {α : Type u} [uniform_space α] {s : set α} {ι} {c : ι → set α}
(hs : is_compact s) (hc₁ : ∀ i, is_open (c i)) (hc₂ : s ⊆ ⋃ i, c i) :
∃ n ∈ 𝓤 α, ∀ x ∈ s, ∃ i, {y | (x, y) ∈ n} ⊆ c i :=
begin
let u := λ n, {x | ∃ i (m ∈ 𝓤 α), {y | (x, y) ∈ m ○ n} ⊆ c i},
have hu₁ : ∀ n ∈ 𝓤 α, is_open (u n),
{ refine λ n hn, is_open_uniformity.2 _,
rintro x ⟨i, m, hm, h⟩,
rcases comp_mem_uniformity_sets hm with ⟨m', hm', mm'⟩,
apply (𝓤 α).sets_of_superset hm',
rintros ⟨x, y⟩ hp rfl,
refine ⟨i, m', hm', λ z hz, h (monotone_comp_rel monotone_id monotone_const mm' _)⟩,
dsimp at hz ⊢, rw comp_rel_assoc,
exact ⟨y, hp, hz⟩ },
have hu₂ : s ⊆ ⋃ n ∈ 𝓤 α, u n,
{ intros x hx,
rcases mem_Union.1 (hc₂ hx) with ⟨i, h⟩,
rcases comp_mem_uniformity_sets (is_open_uniformity.1 (hc₁ i) x h) with ⟨m', hm', mm'⟩,
exact mem_bUnion hm' ⟨i, _, hm', λ y hy, mm' hy rfl⟩ },
rcases hs.elim_finite_subcover_image hu₁ hu₂ with ⟨b, bu, b_fin, b_cover⟩,
refine ⟨_, Inter_mem_sets b_fin bu, λ x hx, _⟩,
rcases mem_bUnion_iff.1 (b_cover hx) with ⟨n, bn, i, m, hm, h⟩,
refine ⟨i, λ y hy, h _⟩,
exact prod_mk_mem_comp_rel (refl_mem_uniformity hm) (bInter_subset_of_mem bn hy)
end
/-- Let `c : set (set α)` be an open cover of a compact set `s`. Then there exists an entourage
`n` such that for each `x ∈ s` its `n`-neighborhood is contained in some `t ∈ c`. -/
lemma lebesgue_number_lemma_sUnion {α : Type u} [uniform_space α] {s : set α} {c : set (set α)}
(hs : is_compact s) (hc₁ : ∀ t ∈ c, is_open t) (hc₂ : s ⊆ ⋃₀ c) :
∃ n ∈ 𝓤 α, ∀ x ∈ s, ∃ t ∈ c, ∀ y, (x, y) ∈ n → y ∈ t :=
by rw sUnion_eq_Union at hc₂;
simpa using lebesgue_number_lemma hs (by simpa) hc₂
/-!
### Expressing continuity properties in uniform spaces
We reformulate the various continuity properties of functions taking values in a uniform space
in terms of the uniformity in the target. Since the same lemmas (essentially with the same names)
also exist for metric spaces and emetric spaces (reformulating things in terms of the distance or
the edistance in the target), we put them in a namespace `uniform` here.
In the metric and emetric space setting, there are also similar lemmas where one assumes that
both the source and the target are metric spaces, reformulating things in terms of the distance
on both sides. These lemmas are generally written without primes, and the versions where only
the target is a metric space is primed. We follow the same convention here, thus giving lemmas
with primes.
-/
namespace uniform
variables [uniform_space α]
theorem tendsto_nhds_right {f : filter β} {u : β → α} {a : α} :
tendsto u f (𝓝 a) ↔ tendsto (λ x, (a, u x)) f (𝓤 α) :=
⟨λ H, tendsto_left_nhds_uniformity.comp H,
λ H s hs, by simpa [mem_of_nhds hs] using H (mem_nhds_uniformity_iff_right.1 hs)⟩
theorem tendsto_nhds_left {f : filter β} {u : β → α} {a : α} :
tendsto u f (𝓝 a) ↔ tendsto (λ x, (u x, a)) f (𝓤 α) :=
⟨λ H, tendsto_right_nhds_uniformity.comp H,
λ H s hs, by simpa [mem_of_nhds hs] using H (mem_nhds_uniformity_iff_left.1 hs)⟩
theorem continuous_at_iff'_right [topological_space β] {f : β → α} {b : β} :
continuous_at f b ↔ tendsto (λ x, (f b, f x)) (𝓝 b) (𝓤 α) :=
by rw [continuous_at, tendsto_nhds_right]
theorem continuous_at_iff'_left [topological_space β] {f : β → α} {b : β} :
continuous_at f b ↔ tendsto (λ x, (f x, f b)) (𝓝 b) (𝓤 α) :=
by rw [continuous_at, tendsto_nhds_left]
theorem continuous_within_at_iff'_right [topological_space β] {f : β → α} {b : β} {s : set β} :
continuous_within_at f s b ↔ tendsto (λ x, (f b, f x)) (nhds_within b s) (𝓤 α) :=
by rw [continuous_within_at, tendsto_nhds_right]
theorem continuous_within_at_iff'_left [topological_space β] {f : β → α} {b : β} {s : set β} :
continuous_within_at f s b ↔ tendsto (λ x, (f x, f b)) (nhds_within b s) (𝓤 α) :=
by rw [continuous_within_at, tendsto_nhds_left]
theorem continuous_on_iff'_right [topological_space β] {f : β → α} {s : set β} :
continuous_on f s ↔ ∀ b ∈ s, tendsto (λ x, (f b, f x)) (nhds_within b s) (𝓤 α) :=
by simp [continuous_on, continuous_within_at_iff'_right]
theorem continuous_on_iff'_left [topological_space β] {f : β → α} {s : set β} :
continuous_on f s ↔ ∀ b ∈ s, tendsto (λ x, (f x, f b)) (nhds_within b s) (𝓤 α) :=
by simp [continuous_on, continuous_within_at_iff'_left]
theorem continuous_iff'_right [topological_space β] {f : β → α} :
continuous f ↔ ∀ b, tendsto (λ x, (f b, f x)) (𝓝 b) (𝓤 α) :=
continuous_iff_continuous_at.trans $ forall_congr $ λ b, tendsto_nhds_right
theorem continuous_iff'_left [topological_space β] {f : β → α} :
continuous f ↔ ∀ b, tendsto (λ x, (f x, f b)) (𝓝 b) (𝓤 α) :=
continuous_iff_continuous_at.trans $ forall_congr $ λ b, tendsto_nhds_left
end uniform
lemma filter.tendsto.congr_uniformity {α β} [uniform_space β] {f g : α → β} {l : filter α} {b : β}
(hf : tendsto f l (𝓝 b)) (hg : tendsto (λ x, (f x, g x)) l (𝓤 β)) :
tendsto g l (𝓝 b) :=
uniform.tendsto_nhds_right.2 $ (uniform.tendsto_nhds_right.1 hf).uniformity_trans hg
lemma uniform.tendsto_congr {α β} [uniform_space β] {f g : α → β} {l : filter α} {b : β}
(hfg : tendsto (λ x, (f x, g x)) l (𝓤 β)) :
tendsto f l (𝓝 b) ↔ tendsto g l (𝓝 b) :=
⟨λ h, h.congr_uniformity hfg, λ h, h.congr_uniformity hfg.uniformity_symm⟩
|
270aaa5cd95be2111fcdc7746aa2e9497f60cf1c | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/algebra/category/Ring/constructions.lean | 784d5c3326f392b445cb6c51b8741b6031a88df5 | [
"Apache-2.0"
] | permissive | jcommelin/mathlib | d8456447c36c176e14d96d9e76f39841f69d2d9b | ee8279351a2e434c2852345c51b728d22af5a156 | refs/heads/master | 1,664,782,136,488 | 1,663,638,983,000 | 1,663,638,983,000 | 132,563,656 | 0 | 0 | Apache-2.0 | 1,663,599,929,000 | 1,525,760,539,000 | Lean | UTF-8 | Lean | false | false | 8,992 | lean | /-
Copyright (c) 2021 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import category_theory.limits.shapes.pullbacks
import ring_theory.tensor_product
import algebra.category.Ring.limits
import algebra.category.Ring.colimits
import category_theory.limits.shapes.strict_initial
import ring_theory.subring.basic
import ring_theory.ideal.local_ring
import category_theory.limits.preserves.limits
/-!
# Constructions of (co)limits in CommRing
In this file we provide the explicit (co)cones for various (co)limits in `CommRing`, including
* tensor product is the pushout
* `Z` is the initial object
* `0` is the strict terminal object
* cartesian product is the product
* `ring_hom.eq_locus` is the equalizer
-/
universes u u'
open category_theory category_theory.limits
open_locale tensor_product
namespace CommRing
section pushout
variables {R A B : CommRing.{u}} (f : R ⟶ A) (g : R ⟶ B)
/-- The explicit cocone with tensor products as the fibered product in `CommRing`. -/
def pushout_cocone : limits.pushout_cocone f g :=
begin
letI := ring_hom.to_algebra f,
letI := ring_hom.to_algebra g,
apply limits.pushout_cocone.mk,
show CommRing, from CommRing.of (A ⊗[R] B),
show A ⟶ _, from algebra.tensor_product.include_left.to_ring_hom,
show B ⟶ _, from algebra.tensor_product.include_right.to_ring_hom,
ext r,
transitivity algebra_map R (A ⊗[R] B) r,
{ exact algebra.tensor_product.include_left.commutes r },
{ exact (algebra.tensor_product.include_right.commutes r).symm }
end
@[simp]
lemma pushout_cocone_inl : (pushout_cocone f g).inl = (by
{ letI := f.to_algebra, letI := g.to_algebra,
exactI algebra.tensor_product.include_left.to_ring_hom }) := rfl
@[simp]
lemma pushout_cocone_inr : (pushout_cocone f g).inr = (by
{ letI := f.to_algebra, letI := g.to_algebra,
exactI algebra.tensor_product.include_right.to_ring_hom }) := rfl
@[simp]
lemma pushout_cocone_X : (pushout_cocone f g).X = (by
{ letI := f.to_algebra, letI := g.to_algebra,
exactI CommRing.of (A ⊗[R] B) }) := rfl
/-- Verify that the `pushout_cocone` is indeed the colimit. -/
def pushout_cocone_is_colimit : limits.is_colimit (pushout_cocone f g) :=
limits.pushout_cocone.is_colimit_aux' _ (λ s,
begin
letI := ring_hom.to_algebra f,
letI := ring_hom.to_algebra g,
letI := ring_hom.to_algebra (f ≫ s.inl),
let f' : A →ₐ[R] s.X := { commutes' := λ r, by
{ change s.inl.to_fun (f r) = (f ≫ s.inl) r, refl }, ..s.inl },
let g' : B →ₐ[R] s.X := { commutes' := λ r, by
{ change (g ≫ s.inr) r = (f ≫ s.inl) r,
congr' 1,
exact (s.ι.naturality limits.walking_span.hom.snd).trans
(s.ι.naturality limits.walking_span.hom.fst).symm }, ..s.inr },
/- The factor map is a ⊗ b ↦ f(a) * g(b). -/
use alg_hom.to_ring_hom (algebra.tensor_product.product_map f' g'),
simp only [pushout_cocone_inl, pushout_cocone_inr],
split, { ext x, exact algebra.tensor_product.product_map_left_apply _ _ x, },
split, { ext x, exact algebra.tensor_product.product_map_right_apply _ _ x, },
intros h eq1 eq2,
let h' : (A ⊗[R] B) →ₐ[R] s.X :=
{ commutes' := λ r, by
{ change h ((f r) ⊗ₜ[R] 1) = s.inl (f r),
rw ← eq1, simp }, ..h },
suffices : h' = algebra.tensor_product.product_map f' g',
{ ext x,
change h' x = algebra.tensor_product.product_map f' g' x,
rw this },
apply algebra.tensor_product.ext,
intros a b,
simp [← eq1, ← eq2, ← h.map_mul],
end)
end pushout
section terminal
/-- The trivial ring is the (strict) terminal object of `CommRing`. -/
def punit_is_terminal : is_terminal (CommRing.of.{u} punit) :=
begin
apply_with is_terminal.of_unique { instances := ff },
tidy
end
instance CommRing_has_strict_terminal_objects : has_strict_terminal_objects CommRing.{u} :=
begin
apply has_strict_terminal_objects_of_terminal_is_strict (CommRing.of punit),
intros X f,
refine ⟨⟨by tidy, by ext, _⟩⟩,
ext,
have e : (0 : X) = 1 := by { rw [← f.map_one, ← f.map_zero], congr },
replace e : 0 * x = 1 * x := congr_arg (λ a, a * x) e,
rw [one_mul, zero_mul, ← f.map_zero] at e,
exact e,
end
lemma subsingleton_of_is_terminal {X : CommRing} (hX : is_terminal X) : subsingleton X :=
(hX.unique_up_to_iso punit_is_terminal).CommRing_iso_to_ring_equiv.to_equiv
.subsingleton_congr.mpr (show subsingleton punit, by apply_instance)
/-- `ℤ` is the initial object of `CommRing`. -/
def Z_is_initial : is_initial (CommRing.of ℤ) :=
begin
apply_with is_initial.of_unique { instances := ff },
exact λ R, ⟨⟨int.cast_ring_hom R⟩, λ a, a.ext_int _⟩,
end
end terminal
section product
variables (A B : CommRing.{u})
/-- The product in `CommRing` is the cartesian product. This is the binary fan. -/
@[simps X]
def prod_fan : binary_fan A B :=
binary_fan.mk (CommRing.of_hom $ ring_hom.fst A B) (CommRing.of_hom $ ring_hom.snd A B)
/-- The product in `CommRing` is the cartesian product. -/
def prod_fan_is_limit : is_limit (prod_fan A B) :=
{ lift := λ c, ring_hom.prod (c.π.app ⟨walking_pair.left⟩) (c.π.app ⟨walking_pair.right⟩),
fac' := λ c j, by { ext, rcases j with ⟨⟨⟩⟩;
simpa only [binary_fan.π_app_left, binary_fan.π_app_right, comp_apply, ring_hom.prod_apply] },
uniq' := λ s m h, by { ext, { simpa using congr_hom (h ⟨walking_pair.left⟩) x },
{ simpa using congr_hom (h ⟨walking_pair.right⟩) x } } }
end product
section equalizer
variables {A B : CommRing.{u}} (f g : A ⟶ B)
/-- The equalizer in `CommRing` is the equalizer as sets. This is the equalizer fork. -/
def equalizer_fork : fork f g :=
fork.of_ι (CommRing.of_hom (ring_hom.eq_locus f g).subtype) (by { ext ⟨x, e⟩, simpa using e })
/-- The equalizer in `CommRing` is the equalizer as sets. -/
def equalizer_fork_is_limit : is_limit (equalizer_fork f g) :=
begin
fapply fork.is_limit.mk',
intro s,
use s.ι.cod_restrict _ (λ x, (concrete_category.congr_hom s.condition x : _)),
split,
{ ext, refl },
{ intros m hm, ext x, exact concrete_category.congr_hom hm x }
end
instance : is_local_ring_hom (equalizer_fork f g).ι :=
begin
constructor,
rintros ⟨a, (h₁ : _ = _)⟩ (⟨⟨x,y,h₃,h₄⟩,(rfl : x = _)⟩ : is_unit a),
have : y ∈ ring_hom.eq_locus f g,
{ apply (f.is_unit_map ⟨⟨x,y,h₃,h₄⟩,rfl⟩ : is_unit (f x)).mul_left_inj.mp,
conv_rhs { rw h₁ },
rw [← f.map_mul, ← g.map_mul, h₄, f.map_one, g.map_one] },
rw is_unit_iff_exists_inv,
exact ⟨⟨y, this⟩, subtype.eq h₃⟩,
end
instance equalizer_ι_is_local_ring_hom (F : walking_parallel_pair ⥤ CommRing.{u}) :
is_local_ring_hom (limit.π F walking_parallel_pair.zero) :=
begin
have := lim_map_π (diagram_iso_parallel_pair F).hom walking_parallel_pair.zero,
rw ← is_iso.comp_inv_eq at this,
rw ← this,
rw ← limit.iso_limit_cone_hom_π ⟨_, equalizer_fork_is_limit
(F.map walking_parallel_pair_hom.left) (F.map walking_parallel_pair_hom.right)⟩
walking_parallel_pair.zero,
change is_local_ring_hom ((lim.map _ ≫ _ ≫ (equalizer_fork _ _).ι) ≫ _),
apply_instance
end
open category_theory.limits.walking_parallel_pair opposite
open category_theory.limits.walking_parallel_pair_hom
instance equalizer_ι_is_local_ring_hom' (F : walking_parallel_pairᵒᵖ ⥤ CommRing.{u}) :
is_local_ring_hom (limit.π F (opposite.op walking_parallel_pair.one)) :=
begin
have : _ = limit.π F (walking_parallel_pair_op_equiv.functor.obj _) :=
(limit.iso_limit_cone_inv_π ⟨_, is_limit.whisker_equivalence (limit.is_limit F)
walking_parallel_pair_op_equiv⟩ walking_parallel_pair.zero : _),
erw ← this,
apply_instance
end
end equalizer
section pullback
/--
In the category of `CommRing`, the pullback of `f : A ⟶ C` and `g : B ⟶ C` is the `eq_locus` of
the two maps `A × B ⟶ C`. This is the constructed pullback cone.
-/
def pullback_cone {A B C : CommRing.{u}} (f : A ⟶ C) (g : B ⟶ C) : pullback_cone f g :=
pullback_cone.mk
(CommRing.of_hom $ (ring_hom.fst A B).comp
(ring_hom.eq_locus (f.comp (ring_hom.fst A B)) (g.comp (ring_hom.snd A B))).subtype)
(CommRing.of_hom $ (ring_hom.snd A B).comp
(ring_hom.eq_locus (f.comp (ring_hom.fst A B)) (g.comp (ring_hom.snd A B))).subtype)
(by { ext ⟨x, e⟩, simpa [CommRing.of_hom] using e })
/-- The constructed pullback cone is indeed the limit. -/
def pullback_cone_is_limit {A B C : CommRing.{u}} (f : A ⟶ C) (g : B ⟶ C) :
is_limit (pullback_cone f g) :=
begin
fapply pullback_cone.is_limit.mk,
{ intro s,
apply (s.fst.prod s.snd).cod_restrict,
intro x, exact congr_arg (λ f : s.X →+* C, f x) s.condition },
{ intro s, ext x, refl },
{ intro s, ext x, refl },
{ intros s m e₁ e₂, ext,
{ exact (congr_arg (λ f : s.X →+* A, f x) e₁ : _) },
{ exact (congr_arg (λ f : s.X →+* B, f x) e₂ : _) } }
end
end pullback
end CommRing
|
d32fab9627b736ddbfe6c90b2e26f9b977027743 | 367134ba5a65885e863bdc4507601606690974c1 | /src/analysis/calculus/darboux.lean | af470c8d69fcbc2f84c99084b67f839d60a4dd65 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 4,784 | lean | /-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import analysis.calculus.mean_value
/-!
# Darboux's theorem
In this file we prove that the derivative of a differentiable function on an interval takes all
intermediate values. The proof is based on the
[Wikipedia](https://en.wikipedia.org/wiki/Darboux%27s_theorem_(analysis)) page about this theorem.
-/
open filter set
open_locale topological_space classical
variables {a b : ℝ} {f f' : ℝ → ℝ}
/-- Darboux's theorem: if `a ≤ b` and `f' a < m < f' b`, then `f' c = m` for some `c ∈ [a, b]`. -/
theorem exists_has_deriv_within_at_eq_of_gt_of_lt
(hab : a ≤ b) (hf : ∀ x ∈ (Icc a b), has_deriv_within_at f (f' x) (Icc a b) x)
{m : ℝ} (hma : f' a < m) (hmb : m < f' b) :
m ∈ f' '' (Icc a b) :=
begin
have hab' : a < b,
{ refine lt_of_le_of_ne hab (λ hab', _),
subst b,
exact lt_asymm hma hmb },
set g : ℝ → ℝ := λ x, f x - m * x,
have hg : ∀ x ∈ Icc a b, has_deriv_within_at g (f' x - m) (Icc a b) x,
{ intros x hx,
simpa using (hf x hx).sub ((has_deriv_within_at_id x _).const_mul m) },
obtain ⟨c, cmem, hc⟩ : ∃ c ∈ Icc a b, is_min_on g (Icc a b) c,
from compact_Icc.exists_forall_le (nonempty_Icc.2 $ hab)
(λ x hx, (hg x hx).continuous_within_at),
have cmem' : c ∈ Ioo a b,
{ cases eq_or_lt_of_le cmem.1 with hac hac,
-- Show that `c` can't be equal to `a`
{ subst c,
refine absurd (sub_nonneg.1 $ nonneg_of_mul_nonneg_left _ (sub_pos.2 hab'))
(not_le_of_lt hma),
have : b - a ∈ pos_tangent_cone_at (Icc a b) a,
from mem_pos_tangent_cone_at_of_segment_subset (segment_eq_Icc hab ▸ subset.refl _),
simpa [-sub_nonneg, -continuous_linear_map.map_sub]
using hc.localize.has_fderiv_within_at_nonneg (hg a (left_mem_Icc.2 hab)) this },
cases eq_or_lt_of_le cmem.2 with hbc hbc,
-- Show that `c` can't be equal to `b`
{ subst c,
refine absurd (sub_nonpos.1 $ nonpos_of_mul_nonneg_right _ (sub_lt_zero.2 hab'))
(not_le_of_lt hmb),
have : a - b ∈ pos_tangent_cone_at (Icc a b) b,
from mem_pos_tangent_cone_at_of_segment_subset (by rw [segment_symm, segment_eq_Icc hab]),
simpa [-sub_nonneg, -continuous_linear_map.map_sub]
using hc.localize.has_fderiv_within_at_nonneg (hg b (right_mem_Icc.2 hab)) this },
exact ⟨hac, hbc⟩ },
use [c, cmem],
rw [← sub_eq_zero],
have : Icc a b ∈ 𝓝 c, by rwa [← mem_interior_iff_mem_nhds, interior_Icc],
exact (hc.is_local_min this).has_deriv_at_eq_zero ((hg c cmem).has_deriv_at this)
end
/-- Darboux's theorem: if `a ≤ b` and `f' a > m > f' b`, then `f' c = m` for some `c ∈ [a, b]`. -/
theorem exists_has_deriv_within_at_eq_of_lt_of_gt
(hab : a ≤ b) (hf : ∀ x ∈ (Icc a b), has_deriv_within_at f (f' x) (Icc a b) x)
{m : ℝ} (hma : m < f' a) (hmb : f' b < m) :
m ∈ f' '' (Icc a b) :=
let ⟨c, cmem, hc⟩ := exists_has_deriv_within_at_eq_of_gt_of_lt hab (λ x hx, (hf x hx).neg)
(neg_lt_neg hma) (neg_lt_neg hmb)
in ⟨c, cmem, neg_injective hc⟩
/-- Darboux's theorem: the image of a convex set under `f'` is a convex set. -/
theorem convex_image_has_deriv_at {s : set ℝ} (hs : convex s)
(hf : ∀ x ∈ s, has_deriv_at f (f' x) x) :
convex (f' '' s) :=
begin
refine real.convex_iff_ord_connected.2 _,
rintros _ ⟨a, ha, rfl⟩ _ ⟨b, hb, rfl⟩ m ⟨hma, hmb⟩,
cases eq_or_lt_of_le hma with hma hma,
by exact hma ▸ mem_image_of_mem f' ha,
cases eq_or_lt_of_le hmb with hmb hmb,
by exact hmb.symm ▸ mem_image_of_mem f' hb,
cases le_total a b with hab hab,
{ have : Icc a b ⊆ s, from hs.ord_connected ha hb,
rcases exists_has_deriv_within_at_eq_of_gt_of_lt hab
(λ x hx, (hf x $ this hx).has_deriv_within_at) hma hmb
with ⟨c, cmem, hc⟩,
exact ⟨c, this cmem, hc⟩ },
{ have : Icc b a ⊆ s, from hs.ord_connected hb ha,
rcases exists_has_deriv_within_at_eq_of_lt_of_gt hab
(λ x hx, (hf x $ this hx).has_deriv_within_at) hmb hma
with ⟨c, cmem, hc⟩,
exact ⟨c, this cmem, hc⟩ }
end
/-- If the derivative of a function is never equal to `m`, then either
it is always greater than `m`, or it is always less than `m`. -/
theorem deriv_forall_lt_or_forall_gt_of_forall_ne {s : set ℝ} (hs : convex s)
(hf : ∀ x ∈ s, has_deriv_at f (f' x) x) {m : ℝ} (hf' : ∀ x ∈ s, f' x ≠ m) :
(∀ x ∈ s, f' x < m) ∨ (∀ x ∈ s, m < f' x) :=
begin
contrapose! hf',
rcases hf' with ⟨⟨b, hb, hmb⟩, ⟨a, ha, hma⟩⟩,
exact (convex_image_has_deriv_at hs hf).ord_connected (mem_image_of_mem f' ha)
(mem_image_of_mem f' hb) ⟨hma, hmb⟩
end
|
2a2400ac0070b2a4ce40933fbc89fcc2e88edac4 | f3be49eddff7edf577d3d3666e314d995f7a6357 | /TBA/Solutions/Exercise2.lean | 0ef4a8f2b91fb123c64fbeb3fc5cccbd59af2985 | [] | no_license | IPDSnelting/tba-2021 | 8b930bcd2f4aae44a2ddc86e72b77f84e6d46e82 | b6390e55b768423d3266969e81d19290129c5914 | refs/heads/master | 1,686,754,693,583 | 1,625,135,602,000 | 1,625,136,365,000 | 355,124,341 | 50 | 7 | null | 1,625,133,762,000 | 1,617,699,824,000 | Lean | UTF-8 | Lean | false | false | 3,897 | lean | section
variable (α : Type) (p q : α → Prop) (r : α → α → Prop)
/- UNIVERSAL QUANTIFICATION -/
-- We can leave off `: α` if Lean can infer it (here via `p`/`q`)
example : (∀ x, p x) → (∀ x, p x → q x) → (∀ x, q x) :=
fun hp hpq x => hpq x (hp x)
-- The reverse direction of the slides example
example : (∀ x, p x ∧ q x) → (∀ x, p x) ∧ (∀ x, q x) :=
-- for the `⟨...⟩` and `.left/right` notations, see Solutions/Exercise1.lean
fun hpq => ⟨fun x => And.left (hpq x),
fun x => (hpq x).right⟩
-- TODO: Prove the corresponding forward/reverse lemma(s) for `∨` (that hold)!
-- hint: input `∀` as `\all`
example : (∀ x, p x) ∨ (∀ x, q x) → (∀ x, p x ∨ q x) :=
-- We can match multiple terms separated by commas in parallel
-- Here `fun | ...` is short for `fun h x => match h, x with | ...`
fun | Or.inl hp, x => Or.inl (hp x)
| Or.inr hq, x => Or.inr (hq x)
-- We can bind multiple variables in a single `∀`
example : (∀ x y, r x y) → (∀ y x, r x y) :=
fun h y x => h x y
/- EXISTENTIAL QUANTIFICATION -/
/-
Interestingly, in contrast to the universal quantifier, the existential quantifier is not primitive
but can be specified as an inductive type:
```
inductive Exists (p : α → Prop) : Prop where
| intro (w : α) (h : p w) : Exists p
```
That is, `Exists.intro` takes/offers a "witness" and a proof that the predicate holds for the witness.
Instead of `Exists (fun x => p x)`, we can also write `∃ x, p x` (input `∃` as `\ex`).
-/
example : (∃ x, p x ∧ q x) → (∃ x, p x) ∧ (∃ x, q x) :=
fun | Exists.intro x hpq => ⟨Exists.intro x hpq.left, Exists.intro x hpq.right⟩
example : ¬(∃ x, p x) → (∀ x, ¬ p x) :=
fun h x hp => h ⟨x, hp⟩
example : (∀ x, ¬ p x) → ¬(∃ x, p x) :=
fun hnotp ⟨x, hpx⟩ => hnotp x hpx
example : (∃ x, ¬ p x) → ¬ (∀ x, p x) :=
fun ⟨x, hnotpx⟩ hp => hnotpx (hp x)
section
open Classical
-- The following example can only be solved using the classical axioms
-- This one is pretty tricky again, don't feel bad about skipping it
-- hint: use the following helper theorem that can be derived from `em`:
#check byContradiction
-- hint: you may even need to use it more than once
example : ¬(∀ x, p x) → (∃ x, ¬ p x) :=
fun hnotp => byContradiction (fun h => hnotp (fun x => byContradiction (fun hpx => h ⟨x, hpx⟩)))
end
-- TODO: Decide for yourself what variables you need to model and prove the following
-- important real-world observation, which is sometimes called "drinker paradox":
-- "If there is at least one person in the pub, then there is someone in the pub such that,
-- if (s)he is drinking, then everyone in the pub is drinking."
-- hint: you can define "is in pub" either as a predicate variable on a "Person" type (`(Person : Type)`),
-- or, more simply, directly as a type "Occupant" since we are not interested in persons outside the pub
-- hint: you might need classical logic again
section Drinker
open Classical
-- NOTE: instead of `(∃ p : Occupant, True)`, the equivalent simple `Occupant` could also be used
example (Occupant : Type) (drinking : Occupant → Prop) : (∃ p : Occupant, True) →
∃ p, drinking p → ∀ p', drinking p' :=
fun ⟨p, _⟩ => match em (∃ p', ¬ drinking p') with
| Or.inl ⟨p', hp'nodrink⟩ => ⟨p', fun hp'drink => False.elim (hp'nodrink hp'drink)⟩
| Or.inr h => ⟨p, fun hpdrink p' => byContradiction (fun hp'nodrink => h ⟨p', hp'nodrink⟩)⟩
end Drinker
/- EQUALITY -/
example : ∀ a b c : α, a = b → b = c → a = c :=
fun a b c hab hbc => hab ▸ hbc
example : ∀ a : α, ∃ b : α, b = a :=
fun a => ⟨a, rfl⟩
-- "`Eq` is the least reflexive relation"
example : (∀ a, r a a) → (∀ a b, a = b → r a b) :=
fun hrrefl a b hab =>
hab ▸ hrrefl a
end
|
3a339026a4e8b4e0f381286fab69e561bb7c587f | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/Lean/Elab/Deriving/DecEq.lean | 9e655ccddf0ecef8c8bc93c26da60e8fe3d87558 | [
"Apache-2.0",
"LLVM-exception",
"NCSA",
"LGPL-3.0-only",
"LicenseRef-scancode-inner-net-2.0",
"BSD-3-Clause",
"LGPL-2.0-or-later",
"Spencer-94",
"LGPL-2.1-or-later",
"HPND",
"LicenseRef-scancode-pcre",
"ISC",
"LGPL-2.1-only",
"LicenseRef-scancode-other-permissive",
"SunPro",
"CMU-Mach"... | permissive | leanprover/lean4 | 4bdf9790294964627eb9be79f5e8f6157780b4cc | f1f9dc0f2f531af3312398999d8b8303fa5f096b | refs/heads/master | 1,693,360,665,786 | 1,693,350,868,000 | 1,693,350,868,000 | 129,571,436 | 2,827 | 311 | Apache-2.0 | 1,694,716,156,000 | 1,523,760,560,000 | Lean | UTF-8 | Lean | false | false | 8,142 | lean | /-
Copyright (c) 2020 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Meta.Transform
import Lean.Meta.Inductive
import Lean.Elab.Deriving.Basic
import Lean.Elab.Deriving.Util
namespace Lean.Elab.Deriving.DecEq
open Lean.Parser.Term
open Meta
def mkDecEqHeader (indVal : InductiveVal) : TermElabM Header := do
mkHeader `DecidableEq 2 indVal
def mkMatch (header : Header) (indVal : InductiveVal) (auxFunName : Name) : TermElabM Term := do
let discrs ← mkDiscrs header indVal
let alts ← mkAlts
`(match $[$discrs],* with $alts:matchAlt*)
where
mkSameCtorRhs : List (Ident × Ident × Bool × Bool) → TermElabM Term
| [] => ``(isTrue rfl)
| (a, b, recField, isProof) :: todo => withFreshMacroScope do
let rhs ← if isProof then
`(have h : $a = $b := rfl; by subst h; exact $(← mkSameCtorRhs todo):term)
else
`(if h : $a = $b then
by subst h; exact $(← mkSameCtorRhs todo):term
else
isFalse (by intro n; injection n; apply h _; assumption))
if recField then
-- add local instance for `a = b` using the function being defined `auxFunName`
`(let inst := $(mkIdent auxFunName) $a $b; $rhs)
else
return rhs
mkAlts : TermElabM (Array (TSyntax ``matchAlt)) := do
let mut alts := #[]
for ctorName₁ in indVal.ctors do
let ctorInfo ← getConstInfoCtor ctorName₁
for ctorName₂ in indVal.ctors do
let mut patterns := #[]
-- add `_` pattern for indices
for _ in [:indVal.numIndices] do
patterns := patterns.push (← `(_))
if ctorName₁ == ctorName₂ then
let alt ← forallTelescopeReducing ctorInfo.type fun xs type => do
let type ← Core.betaReduce type -- we 'beta-reduce' to eliminate "artificial" dependencies
let mut patterns := patterns
let mut ctorArgs1 := #[]
let mut ctorArgs2 := #[]
-- add `_` for inductive parameters, they are inaccessible
for _ in [:indVal.numParams] do
ctorArgs1 := ctorArgs1.push (← `(_))
ctorArgs2 := ctorArgs2.push (← `(_))
let mut todo := #[]
for i in [:ctorInfo.numFields] do
let x := xs[indVal.numParams + i]!
if type.containsFVar x.fvarId! then
-- If resulting type depends on this field, we don't need to compare
ctorArgs1 := ctorArgs1.push (← `(_))
ctorArgs2 := ctorArgs2.push (← `(_))
else
let a := mkIdent (← mkFreshUserName `a)
let b := mkIdent (← mkFreshUserName `b)
ctorArgs1 := ctorArgs1.push a
ctorArgs2 := ctorArgs2.push b
let recField := (← inferType x).isAppOf indVal.name
let isProof := (← inferType (← inferType x)).isProp
todo := todo.push (a, b, recField, isProof)
patterns := patterns.push (← `(@$(mkIdent ctorName₁):ident $ctorArgs1:term*))
patterns := patterns.push (← `(@$(mkIdent ctorName₁):ident $ctorArgs2:term*))
let rhs ← mkSameCtorRhs todo.toList
`(matchAltExpr| | $[$patterns:term],* => $rhs:term)
alts := alts.push alt
else if (← compatibleCtors ctorName₁ ctorName₂) then
patterns := patterns ++ #[(← `($(mkIdent ctorName₁) ..)), (← `($(mkIdent ctorName₂) ..))]
let rhs ← `(isFalse (by intro h; injection h))
alts := alts.push (← `(matchAltExpr| | $[$patterns:term],* => $rhs:term))
return alts
def mkAuxFunction (ctx : Context) : TermElabM Syntax := do
let auxFunName := ctx.auxFunNames[0]!
let indVal :=ctx.typeInfos[0]!
let header ← mkDecEqHeader indVal
let mut body ← mkMatch header indVal auxFunName
let binders := header.binders
let type ← `(Decidable ($(mkIdent header.targetNames[0]!) = $(mkIdent header.targetNames[1]!)))
`(private def $(mkIdent auxFunName):ident $binders:bracketedBinder* : $type:term := $body:term)
def mkDecEqCmds (indVal : InductiveVal) : TermElabM (Array Syntax) := do
let ctx ← mkContext "decEq" indVal.name
let cmds := #[← mkAuxFunction ctx] ++ (← mkInstanceCmds ctx `DecidableEq #[indVal.name] (useAnonCtor := false))
trace[Elab.Deriving.decEq] "\n{cmds}"
return cmds
open Command
def mkDecEq (declName : Name) : CommandElabM Bool := do
let indVal ← getConstInfoInduct declName
if indVal.isNested then
return false -- nested inductive types are not supported yet
else
let cmds ← liftTermElabM <| mkDecEqCmds indVal
cmds.forM elabCommand
return true
partial def mkEnumOfNat (declName : Name) : MetaM Unit := do
let indVal ← getConstInfoInduct declName
let enumType := mkConst declName
let ctors := indVal.ctors.toArray
withLocalDeclD `n (mkConst ``Nat) fun n => do
let cond := mkConst ``cond [levelZero]
let rec mkDecTree (low high : Nat) : Expr :=
if low + 1 == high then
mkConst ctors[low]!
else if low + 2 == high then
mkApp4 cond enumType (mkApp2 (mkConst ``Nat.beq) n (mkRawNatLit low)) (mkConst ctors[low]!) (mkConst ctors[low+1]!)
else
let mid := (low + high)/2
let lowBranch := mkDecTree low mid
let highBranch := mkDecTree mid high
mkApp4 cond enumType (mkApp2 (mkConst ``Nat.ble) (mkRawNatLit mid) n) highBranch lowBranch
let value ← mkLambdaFVars #[n] (mkDecTree 0 ctors.size)
let type ← mkArrow (mkConst ``Nat) enumType
addAndCompile <| Declaration.defnDecl {
name := Name.mkStr declName "ofNat"
levelParams := []
safety := DefinitionSafety.safe
hints := ReducibilityHints.abbrev
value, type
}
def mkEnumOfNatThm (declName : Name) : MetaM Unit := do
let indVal ← getConstInfoInduct declName
let toCtorIdx := mkConst (Name.mkStr declName "toCtorIdx")
let ofNat := mkConst (Name.mkStr declName "ofNat")
let enumType := mkConst declName
let eqEnum := mkApp (mkConst ``Eq [levelOne]) enumType
let rflEnum := mkApp (mkConst ``Eq.refl [levelOne]) enumType
let ctors := indVal.ctors
withLocalDeclD `x enumType fun x => do
let resultType := mkApp2 eqEnum (mkApp ofNat (mkApp toCtorIdx x)) x
let motive ← mkLambdaFVars #[x] resultType
let casesOn := mkConst (mkCasesOnName declName) [levelZero]
let mut value := mkApp2 casesOn motive x
for ctor in ctors do
value := mkApp value (mkApp rflEnum (mkConst ctor))
value ← mkLambdaFVars #[x] value
let type ← mkForallFVars #[x] resultType
addAndCompile <| Declaration.thmDecl {
name := Name.mkStr declName "ofNat_toCtorIdx"
levelParams := []
value, type
}
def mkDecEqEnum (declName : Name) : CommandElabM Unit := do
liftTermElabM <| mkEnumOfNat declName
liftTermElabM <| mkEnumOfNatThm declName
let ofNatIdent := mkIdent (Name.mkStr declName "ofNat")
let auxThmIdent := mkIdent (Name.mkStr declName "ofNat_toCtorIdx")
let cmd ← `(
instance : DecidableEq $(mkIdent declName) :=
fun x y =>
if h : x.toCtorIdx = y.toCtorIdx then
-- We use `rfl` in the following proof because the first script fails for unit-like datatypes due to etaStruct.
isTrue (by first | have aux := congrArg $ofNatIdent h; rw [$auxThmIdent:ident, $auxThmIdent:ident] at aux; assumption | rfl)
else
isFalse fun h => by subst h; contradiction
)
trace[Elab.Deriving.decEq] "\n{cmd}"
elabCommand cmd
def mkDecEqInstanceHandler (declNames : Array Name) : CommandElabM Bool := do
if declNames.size != 1 then
return false -- mutually inductive types are not supported yet
else if (← isEnumType declNames[0]!) then
mkDecEqEnum declNames[0]!
return true
else
mkDecEq declNames[0]!
builtin_initialize
registerDerivingHandler `DecidableEq mkDecEqInstanceHandler
registerTraceClass `Elab.Deriving.decEq
end Lean.Elab.Deriving.DecEq
|
a1d0339b82706e02f348052e502c32d8015c1414 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/measure_theory/measure/giry_monad.lean | 54df82819187182c962b2003c8421ccfa66cda1b | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 8,542 | lean | /-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import measure_theory.integral.lebesgue
/-!
# The Giry monad
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
Let X be a measurable space. The collection of all measures on X again
forms a measurable space. This construction forms a monad on
measurable spaces and measurable functions, called the Giry monad.
Note that most sources use the term "Giry monad" for the restriction
to *probability* measures. Here we include all measures on X.
See also `measure_theory/category/Meas.lean`, containing an upgrade of the type-level
monad to an honest monad of the functor `Measure : Meas ⥤ Meas`.
## References
* <https://ncatlab.org/nlab/show/Giry+monad>
## Tags
giry monad
-/
noncomputable theory
open_locale classical big_operators ennreal
open classical set filter
variables {α β : Type*}
namespace measure_theory
namespace measure
variables [measurable_space α] [measurable_space β]
/-- Measurability structure on `measure`: Measures are measurable w.r.t. all projections -/
instance : measurable_space (measure α) :=
⨆ (s : set α) (hs : measurable_set s), (borel ℝ≥0∞).comap (λ μ, μ s)
lemma measurable_coe {s : set α} (hs : measurable_set s) : measurable (λ μ : measure α, μ s) :=
measurable.of_comap_le $ le_supr_of_le s $ le_supr_of_le hs $ le_rfl
lemma measurable_of_measurable_coe (f : β → measure α)
(h : ∀ (s : set α) (hs : measurable_set s), measurable (λ b, f b s)) :
measurable f :=
measurable.of_le_map $ supr₂_le $ assume s hs, measurable_space.comap_le_iff_le_map.2 $
by rw [measurable_space.map_comp]; exact h s hs
instance {α : Type*} {m : measurable_space α} : has_measurable_add₂ (measure α) :=
begin
refine ⟨measure.measurable_of_measurable_coe _ (λ s hs, _)⟩,
simp_rw [measure.coe_add, pi.add_apply],
refine measurable.add _ _,
{ exact (measure.measurable_coe hs).comp measurable_fst, },
{ exact (measure.measurable_coe hs).comp measurable_snd, },
end
lemma measurable_measure {μ : α → measure β} :
measurable μ ↔ ∀ (s : set β) (hs : measurable_set s), measurable (λ b, μ b s) :=
⟨λ hμ s hs, (measurable_coe hs).comp hμ, measurable_of_measurable_coe μ⟩
lemma measurable_map (f : α → β) (hf : measurable f) :
measurable (λ μ : measure α, map f μ) :=
begin
refine measurable_of_measurable_coe _ (λ s hs, _),
simp_rw map_apply hf hs,
exact measurable_coe (hf hs),
end
lemma measurable_dirac : measurable (measure.dirac : α → measure α) :=
begin
refine measurable_of_measurable_coe _ (λ s hs, _),
simp_rw [dirac_apply' _ hs],
exact measurable_one.indicator hs
end
lemma measurable_lintegral {f : α → ℝ≥0∞} (hf : measurable f) :
measurable (λ μ : measure α, ∫⁻ x, f x ∂μ) :=
begin
simp only [lintegral_eq_supr_eapprox_lintegral, hf, simple_func.lintegral],
refine measurable_supr (λ n, finset.measurable_sum _ (λ i _, _)),
refine measurable.const_mul _ _,
exact measurable_coe ((simple_func.eapprox f n).measurable_set_preimage _)
end
/-- Monadic join on `measure` in the category of measurable spaces and measurable
functions. -/
def join (m : measure (measure α)) : measure α :=
measure.of_measurable
(λ s hs, ∫⁻ μ, μ s ∂m)
(by simp only [measure_empty, lintegral_const, zero_mul])
begin
assume f hf h,
simp_rw [measure_Union h hf],
apply lintegral_tsum,
assume i, exact (measurable_coe (hf i)).ae_measurable
end
@[simp] lemma join_apply {m : measure (measure α)} {s : set α} (hs : measurable_set s) :
join m s = ∫⁻ μ, μ s ∂m :=
measure.of_measurable_apply s hs
@[simp] lemma join_zero : (0 : measure (measure α)).join = 0 :=
by { ext1 s hs, simp only [hs, join_apply, lintegral_zero_measure, coe_zero, pi.zero_apply], }
lemma measurable_join : measurable (join : measure (measure α) → measure α) :=
measurable_of_measurable_coe _ $ assume s hs,
by simp only [join_apply hs]; exact measurable_lintegral (measurable_coe hs)
lemma lintegral_join {m : measure (measure α)} {f : α → ℝ≥0∞} (hf : measurable f) :
∫⁻ x, f x ∂(join m) = ∫⁻ μ, ∫⁻ x, f x ∂μ ∂m :=
begin
simp_rw [lintegral_eq_supr_eapprox_lintegral hf,
simple_func.lintegral, join_apply (simple_func.measurable_set_preimage _ _)],
suffices : ∀ (s : ℕ → finset ℝ≥0∞) (f : ℕ → ℝ≥0∞ → measure α → ℝ≥0∞)
(hf : ∀ n r, measurable (f n r)) (hm : monotone (λ n μ, ∑ r in s n, r * f n r μ)),
(⨆ n, ∑ r in s n, r * ∫⁻ μ, f n r μ ∂m) = ∫⁻ μ, ⨆ n, ∑ r in s n, r * f n r μ ∂m,
{ refine this (λ n, simple_func.range (simple_func.eapprox f n))
(λ n r μ, μ (simple_func.eapprox f n ⁻¹' {r})) _ _,
{ exact λ n r, measurable_coe (simple_func.measurable_set_preimage _ _), },
{ exact λ n m h μ, simple_func.lintegral_mono (simple_func.monotone_eapprox _ h) le_rfl, }, },
intros s f hf hm,
rw lintegral_supr _ hm,
swap, { exact λ n, finset.measurable_sum _ (λ r _, (hf _ _).const_mul _) },
congr,
funext n,
rw lintegral_finset_sum (s n),
{ simp_rw lintegral_const_mul _ (hf _ _), },
{ exact λ r _, (hf _ _).const_mul _ },
end
/-- Monadic bind on `measure`, only works in the category of measurable spaces and measurable
functions. When the function `f` is not measurable the result is not well defined. -/
def bind (m : measure α) (f : α → measure β) : measure β := join (map f m)
@[simp] lemma bind_zero_left (f : α → measure β) : bind 0 f = 0 :=
by simp [bind]
@[simp] lemma bind_zero_right (m : measure α) :
bind m (0 : α → measure β) = 0 :=
begin
ext1 s hs,
simp only [bind, hs, join_apply, coe_zero, pi.zero_apply],
rw [lintegral_map (measurable_coe hs) measurable_zero],
simp only [pi.zero_apply, coe_zero, lintegral_const, zero_mul],
end
@[simp] lemma bind_zero_right' (m : measure α) :
bind m (λ _, 0 : α → measure β) = 0 :=
bind_zero_right m
@[simp] lemma bind_apply {m : measure α} {f : α → measure β} {s : set β}
(hs : measurable_set s) (hf : measurable f) :
bind m f s = ∫⁻ a, f a s ∂m :=
by rw [bind, join_apply hs, lintegral_map (measurable_coe hs) hf]
lemma measurable_bind' {g : α → measure β} (hg : measurable g) : measurable (λ m, bind m g) :=
measurable_join.comp (measurable_map _ hg)
lemma lintegral_bind {m : measure α} {μ : α → measure β} {f : β → ℝ≥0∞}
(hμ : measurable μ) (hf : measurable f) :
∫⁻ x, f x ∂ (bind m μ) = ∫⁻ a, ∫⁻ x, f x ∂(μ a) ∂m :=
(lintegral_join hf).trans (lintegral_map (measurable_lintegral hf) hμ)
lemma bind_bind {γ} [measurable_space γ] {m : measure α} {f : α → measure β} {g : β → measure γ}
(hf : measurable f) (hg : measurable g) :
bind (bind m f) g = bind m (λ a, bind (f a) g) :=
begin
ext1 s hs,
simp_rw [bind_apply hs hg, bind_apply hs ((measurable_bind' hg).comp hf),
lintegral_bind hf ((measurable_coe hs).comp hg), (bind_apply hs hg)],
end
lemma bind_dirac {f : α → measure β} (hf : measurable f) (a : α) : bind (dirac a) f = f a :=
by { ext1 s hs, rw [bind_apply hs hf, lintegral_dirac' a ((measurable_coe hs).comp hf)], }
lemma dirac_bind {m : measure α} : bind m dirac = m :=
begin
ext1 s hs,
simp only [bind_apply hs measurable_dirac, dirac_apply' _ hs, lintegral_indicator 1 hs,
pi.one_apply, lintegral_one, restrict_apply, measurable_set.univ, univ_inter],
end
lemma join_eq_bind (μ : measure (measure α)) : join μ = bind μ id :=
by rw [bind, map_id]
lemma join_map_map {f : α → β} (hf : measurable f) (μ : measure (measure α)) :
join (map (map f) μ) = map f (join μ) :=
begin
ext1 s hs,
rw [join_apply hs, map_apply hf hs, join_apply (hf hs),
lintegral_map (measurable_coe hs) (measurable_map f hf)],
simp_rw map_apply hf hs,
end
lemma join_map_join (μ : measure (measure (measure α))) :
join (map join μ) = join (join μ) :=
begin
show bind μ join = join (join μ),
rw [join_eq_bind, join_eq_bind, bind_bind measurable_id measurable_id],
apply congr_arg (bind μ),
funext ν,
exact join_eq_bind ν
end
lemma join_map_dirac (μ : measure α) : join (map dirac μ) = μ :=
dirac_bind
lemma join_dirac (μ : measure α) : join (dirac μ) = μ :=
(join_eq_bind (dirac μ)).trans (bind_dirac measurable_id _)
end measure
end measure_theory
|
b0c9e830453d3d4515d52277f0ac434d10d67e3c | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/model_theory/definability.lean | b38b5f355e3ba710378f97c7383ab27cff0bacfb | [
"Apache-2.0"
] | permissive | leanprover-community/mathlib | 56a2cadd17ac88caf4ece0a775932fa26327ba0e | 442a83d738cb208d3600056c489be16900ba701d | refs/heads/master | 1,693,584,102,358 | 1,693,471,902,000 | 1,693,471,902,000 | 97,922,418 | 1,595 | 352 | Apache-2.0 | 1,694,693,445,000 | 1,500,624,130,000 | Lean | UTF-8 | Lean | false | false | 11,425 | lean | /-
Copyright (c) 2021 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import data.set_like.basic
import model_theory.semantics
/-!
# Definable Sets
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file defines what it means for a set over a first-order structure to be definable.
## Main Definitions
* `set.definable` is defined so that `A.definable L s` indicates that the
set `s` of a finite cartesian power of `M` is definable with parameters in `A`.
* `set.definable₁` is defined so that `A.definable₁ L s` indicates that
`(s : set M)` is definable with parameters in `A`.
* `set.definable₂` is defined so that `A.definable₂ L s` indicates that
`(s : set (M × M))` is definable with parameters in `A`.
* A `first_order.language.definable_set` is defined so that `L.definable_set A α` is the boolean
algebra of subsets of `α → M` defined by formulas with parameters in `A`.
## Main Results
* `L.definable_set A α` forms a `boolean_algebra`
* `set.definable.image_comp` shows that definability is closed under projections in finite
dimensions.
-/
universes u v w
namespace set
variables {M : Type w} (A : set M) (L : first_order.language.{u v}) [L.Structure M]
open_locale first_order
open first_order.language first_order.language.Structure
variables {α : Type*} {β : Type*}
/-- A subset of a finite Cartesian product of a structure is definable over a set `A` when
membership in the set is given by a first-order formula with parameters from `A`. -/
def definable (s : set (α → M)) : Prop :=
∃ (φ : L[[A]].formula α), s = set_of φ.realize
variables {L} {A} {B : set M} {s : set (α → M)}
lemma definable.map_expansion {L' : first_order.language} [L'.Structure M] (h : A.definable L s)
(φ : L →ᴸ L') [φ.is_expansion_on M] :
A.definable L' s :=
begin
obtain ⟨ψ, rfl⟩ := h,
refine ⟨(φ.add_constants A).on_formula ψ, _⟩,
ext x,
simp only [mem_set_of_eq, Lhom.realize_on_formula],
end
lemma empty_definable_iff :
(∅ : set M).definable L s ↔ ∃ (φ : L.formula α), s = set_of φ.realize :=
begin
rw [definable, equiv.exists_congr_left (Lequiv.add_empty_constants L (∅ : set M)).on_formula],
simp,
end
lemma definable_iff_empty_definable_with_params :
A.definable L s ↔ (∅ : set M).definable (L[[A]]) s :=
empty_definable_iff.symm
lemma definable.mono (hAs : A.definable L s) (hAB : A ⊆ B) :
B.definable L s :=
begin
rw [definable_iff_empty_definable_with_params] at *,
exact hAs.map_expansion (L.Lhom_with_constants_map (set.inclusion hAB)),
end
@[simp]
lemma definable_empty : A.definable L (∅ : set (α → M)) :=
⟨⊥, by {ext, simp} ⟩
@[simp]
lemma definable_univ : A.definable L (univ : set (α → M)) :=
⟨⊤, by {ext, simp} ⟩
@[simp]
lemma definable.inter {f g : set (α → M)} (hf : A.definable L f) (hg : A.definable L g) :
A.definable L (f ∩ g) :=
begin
rcases hf with ⟨φ, rfl⟩,
rcases hg with ⟨θ, rfl⟩,
refine ⟨φ ⊓ θ, _⟩,
ext,
simp,
end
@[simp]
lemma definable.union {f g : set (α → M)} (hf : A.definable L f) (hg : A.definable L g) :
A.definable L (f ∪ g) :=
begin
rcases hf with ⟨φ, hφ⟩,
rcases hg with ⟨θ, hθ⟩,
refine ⟨φ ⊔ θ, _⟩,
ext,
rw [hφ, hθ, mem_set_of_eq, formula.realize_sup, mem_union, mem_set_of_eq,
mem_set_of_eq],
end
lemma definable_finset_inf {ι : Type*} {f : Π (i : ι), set (α → M)}
(hf : ∀ i, A.definable L (f i)) (s : finset ι) :
A.definable L (s.inf f) :=
begin
classical,
refine finset.induction definable_univ (λ i s is h, _) s,
rw finset.inf_insert,
exact (hf i).inter h,
end
lemma definable_finset_sup {ι : Type*} {f : Π (i : ι), set (α → M)}
(hf : ∀ i, A.definable L (f i)) (s : finset ι) :
A.definable L (s.sup f) :=
begin
classical,
refine finset.induction definable_empty (λ i s is h, _) s,
rw finset.sup_insert,
exact (hf i).union h,
end
lemma definable_finset_bInter {ι : Type*} {f : Π (i : ι), set (α → M)}
(hf : ∀ i, A.definable L (f i)) (s : finset ι) :
A.definable L (⋂ i ∈ s, f i) :=
begin
rw ← finset.inf_set_eq_bInter,
exact definable_finset_inf hf s,
end
lemma definable_finset_bUnion {ι : Type*} {f : Π (i : ι), set (α → M)}
(hf : ∀ i, A.definable L (f i)) (s : finset ι) :
A.definable L (⋃ i ∈ s, f i) :=
begin
rw ← finset.sup_set_eq_bUnion,
exact definable_finset_sup hf s,
end
@[simp]
lemma definable.compl {s : set (α → M)} (hf : A.definable L s) :
A.definable L sᶜ :=
begin
rcases hf with ⟨φ, hφ⟩,
refine ⟨φ.not, _⟩,
rw hφ,
refl,
end
@[simp]
lemma definable.sdiff {s t : set (α → M)} (hs : A.definable L s)
(ht : A.definable L t) :
A.definable L (s \ t) :=
hs.inter ht.compl
lemma definable.preimage_comp (f : α → β) {s : set (α → M)}
(h : A.definable L s) :
A.definable L ((λ g : β → M, g ∘ f) ⁻¹' s) :=
begin
obtain ⟨φ, rfl⟩ := h,
refine ⟨(φ.relabel f), _⟩,
ext,
simp only [set.preimage_set_of_eq, mem_set_of_eq, formula.realize_relabel],
end
lemma definable.image_comp_equiv {s : set (β → M)}
(h : A.definable L s) (f : α ≃ β) :
A.definable L ((λ g : β → M, g ∘ f) '' s) :=
begin
refine (congr rfl _).mp (h.preimage_comp f.symm),
rw image_eq_preimage_of_inverse,
{ intro i,
ext b,
simp only [function.comp_app, equiv.apply_symm_apply], },
{ intro i,
ext a,
simp }
end
/-- This lemma is only intended as a helper for `definable.image_comp. -/
lemma definable.image_comp_sum_inl_fin (m : ℕ) {s : set ((α ⊕ fin m) → M)}
(h : A.definable L s) :
A.definable L ((λ g : (α ⊕ fin m) → M, g ∘ sum.inl) '' s) :=
begin
obtain ⟨φ, rfl⟩ := h,
refine ⟨(bounded_formula.relabel id φ).exs, _⟩,
ext x,
simp only [set.mem_image, mem_set_of_eq, bounded_formula.realize_exs,
bounded_formula.realize_relabel, function.comp.right_id, fin.cast_add_zero, fin.cast_refl],
split,
{ rintro ⟨y, hy, rfl⟩,
exact ⟨y ∘ sum.inr,
(congr (congr rfl (sum.elim_comp_inl_inr y).symm) (funext fin_zero_elim)).mp hy⟩ },
{ rintro ⟨y, hy⟩,
exact ⟨sum.elim x y, (congr rfl (funext fin_zero_elim)).mp hy, sum.elim_comp_inl _ _⟩, },
end
/-- Shows that definability is closed under finite projections. -/
lemma definable.image_comp_embedding {s : set (β → M)} (h : A.definable L s)
(f : α ↪ β) [finite β] :
A.definable L ((λ g : β → M, g ∘ f) '' s) :=
begin
classical,
casesI nonempty_fintype β,
refine (congr rfl (ext (λ x, _))).mp (((h.image_comp_equiv
(equiv.set.sum_compl (range f))).image_comp_equiv (equiv.sum_congr
(equiv.of_injective f f.injective) (fintype.equiv_fin _).symm)).image_comp_sum_inl_fin _),
simp only [mem_preimage, mem_image, exists_exists_and_eq_and],
refine exists_congr (λ y, and_congr_right (λ ys, eq.congr_left (funext (λ a, _)))),
simp,
end
/-- Shows that definability is closed under finite projections. -/
lemma definable.image_comp {s : set (β → M)} (h : A.definable L s)
(f : α → β) [finite α] [finite β] :
A.definable L ((λ g : β → M, g ∘ f) '' s) :=
begin
classical,
casesI nonempty_fintype α,
casesI nonempty_fintype β,
have h := (((h.image_comp_equiv (equiv.set.sum_compl (range f))).image_comp_equiv
(equiv.sum_congr (_root_.equiv.refl _)
(fintype.equiv_fin _).symm)).image_comp_sum_inl_fin _).preimage_comp (range_splitting f),
have h' : A.definable L ({ x : α → M |
∀ a, x a = x (range_splitting f (range_factorization f a))}),
{ have h' : ∀ a, A.definable L {x : α → M | x a =
x (range_splitting f (range_factorization f a))},
{ refine λ a, ⟨(var a).equal (var (range_splitting f (range_factorization f a))), ext _⟩,
simp, },
refine (congr rfl (ext _)).mp (definable_finset_bInter h' finset.univ),
simp },
refine (congr rfl (ext (λ x, _))).mp (h.inter h'),
simp only [equiv.coe_trans, mem_inter_iff, mem_preimage, mem_image,
exists_exists_and_eq_and, mem_set_of_eq],
split,
{ rintro ⟨⟨y, ys, hy⟩, hx⟩,
refine ⟨y, ys, _⟩,
ext a,
rw [hx a, ← function.comp_apply x, ← hy],
simp, },
{ rintro ⟨y, ys, rfl⟩,
refine ⟨⟨y, ys, _⟩, λ a, _⟩,
{ ext,
simp [set.apply_range_splitting f] },
{ rw [function.comp_apply, function.comp_apply, apply_range_splitting f,
range_factorization_coe], }}
end
variables (L) {M} (A)
/-- A 1-dimensional version of `definable`, for `set M`. -/
def definable₁ (s : set M) : Prop := A.definable L { x : fin 1 → M | x 0 ∈ s }
/-- A 2-dimensional version of `definable`, for `set (M × M)`. -/
def definable₂ (s : set (M × M)) : Prop := A.definable L { x : fin 2 → M | (x 0, x 1) ∈ s }
end set
namespace first_order
namespace language
open set
variables (L : first_order.language.{u v}) {M : Type w} [L.Structure M] (A : set M) (α : Type*)
/-- Definable sets are subsets of finite Cartesian products of a structure such that membership is
given by a first-order formula. -/
def definable_set := { s : set (α → M) // A.definable L s}
namespace definable_set
variables {L A α} {s t : L.definable_set A α} {x : α → M}
instance : set_like (L.definable_set A α) (α → M) :=
{ coe := subtype.val,
coe_injective' := subtype.val_injective }
instance : has_top (L.definable_set A α) := ⟨⟨⊤, definable_univ⟩⟩
instance : has_bot (L.definable_set A α) := ⟨⟨⊥, definable_empty⟩⟩
instance : has_sup (L.definable_set A α) := ⟨λ s t, ⟨s ∪ t, s.2.union t.2⟩⟩
instance : has_inf (L.definable_set A α) := ⟨λ s t, ⟨s ∩ t, s.2.inter t.2⟩⟩
instance : has_compl (L.definable_set A α) := ⟨λ s, ⟨sᶜ, s.2.compl⟩⟩
instance : has_sdiff (L.definable_set A α) := ⟨λ s t, ⟨s \ t, s.2.sdiff t.2⟩⟩
instance : inhabited (L.definable_set A α) := ⟨⊥⟩
lemma le_iff : s ≤ t ↔ (s : set (α → M)) ≤ (t : set (α → M)) := iff.rfl
@[simp] lemma mem_top : x ∈ (⊤ : L.definable_set A α) := mem_univ x
@[simp] lemma not_mem_bot {x : α → M} : ¬ x ∈ (⊥ : L.definable_set A α) := not_mem_empty x
@[simp] lemma mem_sup : x ∈ s ⊔ t ↔ x ∈ s ∨ x ∈ t := iff.rfl
@[simp] lemma mem_inf : x ∈ s ⊓ t ↔ x ∈ s ∧ x ∈ t := iff.rfl
@[simp] lemma mem_compl : x ∈ sᶜ ↔ ¬ x ∈ s := iff.rfl
@[simp] lemma mem_sdiff : x ∈ s \ t ↔ x ∈ s ∧ ¬ x ∈ t := iff.rfl
@[simp, norm_cast] lemma coe_top : ((⊤ : L.definable_set A α) : set (α → M)) = univ := rfl
@[simp, norm_cast] lemma coe_bot : ((⊥ : L.definable_set A α) : set (α → M)) = ∅ := rfl
@[simp, norm_cast] lemma coe_sup (s t : L.definable_set A α) : (↑(s ⊔ t) : set (α → M)) = s ∪ t :=
rfl
@[simp, norm_cast] lemma coe_inf (s t : L.definable_set A α) : (↑(s ⊓ t) : set (α → M)) = s ∩ t :=
rfl
@[simp, norm_cast] lemma coe_compl (s : L.definable_set A α) : (↑(sᶜ) : set (α → M)) = sᶜ := rfl
@[simp, norm_cast] lemma coe_sdiff (s t : L.definable_set A α) : (↑(s \ t) : set (α → M)) = s \ t :=
rfl
instance : boolean_algebra (L.definable_set A α) :=
subtype.coe_injective.boolean_algebra _ coe_sup coe_inf coe_top coe_bot coe_compl coe_sdiff
end definable_set
end language
end first_order
|
acfc32cdebd7c8b48cfe857670d8e3c54dec1f35 | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/run/tactic9.lean | 1d365fb966d7691302097ce4a7f854f71a2c46da | [
"Apache-2.0"
] | permissive | soonhokong/lean | cb8aa01055ffe2af0fb99a16b4cda8463b882cd1 | 38607e3eb57f57f77c0ac114ad169e9e4262e24f | refs/heads/master | 1,611,187,284,081 | 1,450,766,737,000 | 1,476,122,547,000 | 11,513,992 | 2 | 0 | null | 1,401,763,102,000 | 1,374,182,235,000 | C++ | UTF-8 | Lean | false | false | 139 | lean | import logic
open tactic
theorem tst {A B : Prop} (H1 : A) (H2 : B) : ((fun x : Prop, x) A) ∧ B ∧ A
:= by repeat (split | assumption)
|
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