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10c215b7a714208c9765cce116ece54ad4c739d1 | d9d511f37a523cd7659d6f573f990e2a0af93c6f | /src/algebra/algebra/basic.lean | b8e5192711f68a322208e0051284ee38a0c9ba8d | [
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Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Yury Kudryashov
-/
import algebra.iterate_hom
import data.equiv.ring_aut
import linear_algebra.tensor_product
import tactic.nth_rewrite
/-!
# Algebra over Commutative Semiring
In this file we define `algebra`s over commutative (semi)rings, algebra homomorphisms `alg_hom`,
algebra equivalences `alg_equiv`. We also define usual operations on `alg_hom`s
(`id`, `comp`).
`subalgebra`s are defined in `algebra.algebra.subalgebra`.
If `S` is an `R`-algebra and `A` is an `S`-algebra then `algebra.comap.algebra R S A` can be used
to provide `A` with a structure of an `R`-algebra. Other than that, `algebra.comap` is now
deprecated and replaced with `is_scalar_tower`.
For the category of `R`-algebras, denoted `Algebra R`, see the file
`algebra/category/Algebra/basic.lean`.
## Notations
* `A →ₐ[R] B` : `R`-algebra homomorphism from `A` to `B`.
* `A ≃ₐ[R] B` : `R`-algebra equivalence from `A` to `B`.
-/
universes u v w u₁ v₁
open_locale tensor_product big_operators
section prio
-- We set this priority to 0 later in this file
set_option extends_priority 200 /- control priority of
`instance [algebra R A] : has_scalar R A` -/
/--
Given a commutative (semi)ring `R`, an `R`-algebra is a (possibly noncommutative)
(semi)ring `A` endowed with a morphism of rings `R →+* A` which lands in the
center of `A`.
For convenience, this typeclass extends `has_scalar R A` where the scalar action must
agree with left multiplication by the image of the structure morphism.
Given an `algebra R A` instance, the structure morphism `R →+* A` is denoted `algebra_map R A`.
-/
@[nolint has_inhabited_instance]
class algebra (R : Type u) (A : Type v) [comm_semiring R] [semiring A]
extends has_scalar R A, R →+* A :=
(commutes' : ∀ r x, to_fun r * x = x * to_fun r)
(smul_def' : ∀ r x, r • x = to_fun r * x)
end prio
/-- Embedding `R →+* A` given by `algebra` structure. -/
def algebra_map (R : Type u) (A : Type v) [comm_semiring R] [semiring A] [algebra R A] : R →+* A :=
algebra.to_ring_hom
/-- Creating an algebra from a morphism to the center of a semiring. -/
def ring_hom.to_algebra' {R S} [comm_semiring R] [semiring S] (i : R →+* S)
(h : ∀ c x, i c * x = x * i c) :
algebra R S :=
{ smul := λ c x, i c * x,
commutes' := h,
smul_def' := λ c x, rfl,
to_ring_hom := i}
/-- Creating an algebra from a morphism to a commutative semiring. -/
def ring_hom.to_algebra {R S} [comm_semiring R] [comm_semiring S] (i : R →+* S) :
algebra R S :=
i.to_algebra' $ λ _, mul_comm _
lemma ring_hom.algebra_map_to_algebra {R S} [comm_semiring R] [comm_semiring S]
(i : R →+* S) :
@algebra_map R S _ _ i.to_algebra = i :=
rfl
namespace algebra
variables {R : Type u} {S : Type v} {A : Type w} {B : Type*}
/-- Let `R` be a commutative semiring, let `A` be a semiring with a `module R` structure.
If `(r • 1) * x = x * (r • 1) = r • x` for all `r : R` and `x : A`, then `A` is an `algebra`
over `R`.
See note [reducible non-instances]. -/
@[reducible]
def of_module' [comm_semiring R] [semiring A] [module R A]
(h₁ : ∀ (r : R) (x : A), (r • 1) * x = r • x)
(h₂ : ∀ (r : R) (x : A), x * (r • 1) = r • x) : algebra R A :=
{ to_fun := λ r, r • 1,
map_one' := one_smul _ _,
map_mul' := λ r₁ r₂, by rw [h₁, mul_smul],
map_zero' := zero_smul _ _,
map_add' := λ r₁ r₂, add_smul r₁ r₂ 1,
commutes' := λ r x, by simp only [h₁, h₂],
smul_def' := λ r x, by simp only [h₁] }
/-- Let `R` be a commutative semiring, let `A` be a semiring with a `module R` structure.
If `(r • x) * y = x * (r • y) = r • (x * y)` for all `r : R` and `x y : A`, then `A`
is an `algebra` over `R`.
See note [reducible non-instances]. -/
@[reducible]
def of_module [comm_semiring R] [semiring A] [module R A]
(h₁ : ∀ (r : R) (x y : A), (r • x) * y = r • (x * y))
(h₂ : ∀ (r : R) (x y : A), x * (r • y) = r • (x * y)) : algebra R A :=
of_module' (λ r x, by rw [h₁, one_mul]) (λ r x, by rw [h₂, mul_one])
section semiring
variables [comm_semiring R] [comm_semiring S]
variables [semiring A] [algebra R A] [semiring B] [algebra R B]
lemma smul_def'' (r : R) (x : A) : r • x = algebra_map R A r * x :=
algebra.smul_def' r x
/--
To prove two algebra structures on a fixed `[comm_semiring R] [semiring A]` agree,
it suffices to check the `algebra_map`s agree.
-/
-- We'll later use this to show `algebra ℤ M` is a subsingleton.
@[ext]
lemma algebra_ext {R : Type*} [comm_semiring R] {A : Type*} [semiring A] (P Q : algebra R A)
(w : ∀ (r : R), by { haveI := P, exact algebra_map R A r } =
by { haveI := Q, exact algebra_map R A r }) :
P = Q :=
begin
unfreezingI { rcases P with ⟨⟨P⟩⟩, rcases Q with ⟨⟨Q⟩⟩ },
congr,
{ funext r a,
replace w := congr_arg (λ s, s * a) (w r),
simp only [←algebra.smul_def''] at w,
apply w, },
{ ext r,
exact w r, },
{ apply proof_irrel_heq, },
{ apply proof_irrel_heq, },
end
@[priority 200] -- see Note [lower instance priority]
instance to_module : module R A :=
{ one_smul := by simp [smul_def''],
mul_smul := by simp [smul_def'', mul_assoc],
smul_add := by simp [smul_def'', mul_add],
smul_zero := by simp [smul_def''],
add_smul := by simp [smul_def'', add_mul],
zero_smul := by simp [smul_def''] }
-- from now on, we don't want to use the following instance anymore
attribute [instance, priority 0] algebra.to_has_scalar
lemma smul_def (r : R) (x : A) : r • x = algebra_map R A r * x :=
algebra.smul_def' r x
lemma algebra_map_eq_smul_one (r : R) : algebra_map R A r = r • 1 :=
calc algebra_map R A r = algebra_map R A r * 1 : (mul_one _).symm
... = r • 1 : (algebra.smul_def r 1).symm
lemma algebra_map_eq_smul_one' : ⇑(algebra_map R A) = λ r, r • (1 : A) :=
funext algebra_map_eq_smul_one
/-- `mul_comm` for `algebra`s when one element is from the base ring. -/
theorem commutes (r : R) (x : A) : algebra_map R A r * x = x * algebra_map R A r :=
algebra.commutes' r x
/-- `mul_left_comm` for `algebra`s when one element is from the base ring. -/
theorem left_comm (x : A) (r : R) (y : A) :
x * (algebra_map R A r * y) = algebra_map R A r * (x * y) :=
by rw [← mul_assoc, ← commutes, mul_assoc]
/-- `mul_right_comm` for `algebra`s when one element is from the base ring. -/
theorem right_comm (x : A) (r : R) (y : A) :
(x * algebra_map R A r) * y = (x * y) * algebra_map R A r :=
by rw [mul_assoc, commutes, ←mul_assoc]
instance _root_.is_scalar_tower.right : is_scalar_tower R A A :=
⟨λ x y z, by rw [smul_eq_mul, smul_eq_mul, smul_def, smul_def, mul_assoc]⟩
/-- This is just a special case of the global `mul_smul_comm` lemma that requires less typeclass
search (and was here first). -/
@[simp] protected lemma mul_smul_comm (s : R) (x y : A) :
x * (s • y) = s • (x * y) :=
-- TODO: set up `is_scalar_tower.smul_comm_class` earlier so that we can actually prove this using
-- `mul_smul_comm s x y`.
by rw [smul_def, smul_def, left_comm]
/-- This is just a special case of the global `smul_mul_assoc` lemma that requires less typeclass
search (and was here first). -/
@[simp] protected lemma smul_mul_assoc (r : R) (x y : A) :
(r • x) * y = r • (x * y) :=
smul_mul_assoc r x y
instance _root_.is_scalar_tower.opposite_right : is_scalar_tower R Aᵒᵖ A :=
⟨λ x y z, algebra.mul_smul_comm _ _ _⟩
section
variables {r : R} {a : A}
@[simp] lemma bit0_smul_one : bit0 r • (1 : A) = bit0 (r • (1 : A)) :=
by simp [bit0, add_smul]
lemma bit0_smul_one' : bit0 r • (1 : A) = r • 2 :=
by simp [bit0, add_smul, smul_add]
@[simp] lemma bit0_smul_bit0 : bit0 r • bit0 a = r • (bit0 (bit0 a)) :=
by simp [bit0, add_smul, smul_add]
@[simp] lemma bit0_smul_bit1 : bit0 r • bit1 a = r • (bit0 (bit1 a)) :=
by simp [bit0, add_smul, smul_add]
@[simp] lemma bit1_smul_one : bit1 r • (1 : A) = bit1 (r • (1 : A)) :=
by simp [bit1, add_smul]
lemma bit1_smul_one' : bit1 r • (1 : A) = r • 2 + 1 :=
by simp [bit1, bit0, add_smul, smul_add]
@[simp] lemma bit1_smul_bit0 : bit1 r • bit0 a = r • (bit0 (bit0 a)) + bit0 a :=
by simp [bit1, add_smul, smul_add]
@[simp] lemma bit1_smul_bit1 : bit1 r • bit1 a = r • (bit0 (bit1 a)) + bit1 a :=
by { simp only [bit0, bit1, add_smul, smul_add, one_smul], abel }
end
variables (R A)
/--
The canonical ring homomorphism `algebra_map R A : R →* A` for any `R`-algebra `A`,
packaged as an `R`-linear map.
-/
protected def linear_map : R →ₗ[R] A :=
{ map_smul' := λ x y, by simp [algebra.smul_def],
..algebra_map R A }
@[simp]
lemma linear_map_apply (r : R) : algebra.linear_map R A r = algebra_map R A r := rfl
instance id : algebra R R := (ring_hom.id R).to_algebra
variables {R A}
namespace id
@[simp] lemma map_eq_self (x : R) : algebra_map R R x = x := rfl
@[simp] lemma smul_eq_mul (x y : R) : x • y = x * y := rfl
end id
section prod
variables (R A B)
instance : algebra R (A × B) :=
{ commutes' := by { rintro r ⟨a, b⟩, dsimp, rw [commutes r a, commutes r b] },
smul_def' := by { rintro r ⟨a, b⟩, dsimp, rw [smul_def r a, smul_def r b] },
.. prod.module,
.. ring_hom.prod (algebra_map R A) (algebra_map R B) }
variables {R A B}
@[simp] lemma algebra_map_prod_apply (r : R) :
algebra_map R (A × B) r = (algebra_map R A r, algebra_map R B r) := rfl
end prod
/-- Algebra over a subsemiring. This builds upon `subsemiring.module`. -/
instance of_subsemiring (S : subsemiring R) : algebra S A :=
{ smul := (•),
commutes' := λ r x, algebra.commutes r x,
smul_def' := λ r x, algebra.smul_def r x,
.. (algebra_map R A).comp S.subtype }
/-- Algebra over a subring. This builds upon `subring.module`. -/
instance of_subring {R A : Type*} [comm_ring R] [ring A] [algebra R A]
(S : subring R) : algebra S A :=
{ smul := (•),
.. algebra.of_subsemiring S.to_subsemiring,
.. (algebra_map R A).comp S.subtype }
lemma algebra_map_of_subring {R : Type*} [comm_ring R] (S : subring R) :
(algebra_map S R : S →+* R) = subring.subtype S := rfl
lemma coe_algebra_map_of_subring {R : Type*} [comm_ring R] (S : subring R) :
(algebra_map S R : S → R) = subtype.val := rfl
lemma algebra_map_of_subring_apply {R : Type*} [comm_ring R] (S : subring R) (x : S) :
algebra_map S R x = x := rfl
/-- Explicit characterization of the submonoid map in the case of an algebra.
`S` is made explicit to help with type inference -/
def algebra_map_submonoid (S : Type*) [semiring S] [algebra R S]
(M : submonoid R) : (submonoid S) :=
submonoid.map (algebra_map R S : R →* S) M
lemma mem_algebra_map_submonoid_of_mem [algebra R S] {M : submonoid R} (x : M) :
(algebra_map R S x) ∈ algebra_map_submonoid S M :=
set.mem_image_of_mem (algebra_map R S) x.2
end semiring
section ring
variables [comm_ring R]
variables (R)
/-- A `semiring` that is an `algebra` over a commutative ring carries a natural `ring` structure.
See note [reducible non-instances]. -/
@[reducible]
def semiring_to_ring [semiring A] [algebra R A] : ring A := {
..module.add_comm_monoid_to_add_comm_group R,
..(infer_instance : semiring A) }
variables {R}
lemma mul_sub_algebra_map_commutes [ring A] [algebra R A] (x : A) (r : R) :
x * (x - algebra_map R A r) = (x - algebra_map R A r) * x :=
by rw [mul_sub, ←commutes, sub_mul]
lemma mul_sub_algebra_map_pow_commutes [ring A] [algebra R A] (x : A) (r : R) (n : ℕ) :
x * (x - algebra_map R A r) ^ n = (x - algebra_map R A r) ^ n * x :=
begin
induction n with n ih,
{ simp },
{ rw [pow_succ, ←mul_assoc, mul_sub_algebra_map_commutes,
mul_assoc, ih, ←mul_assoc], }
end
end ring
end algebra
namespace no_zero_smul_divisors
variables {R A : Type*}
open algebra
section ring
variables [comm_ring R]
/-- If `algebra_map R A` is injective and `A` has no zero divisors,
`R`-multiples in `A` are zero only if one of the factors is zero.
Cannot be an instance because there is no `injective (algebra_map R A)` typeclass.
-/
lemma of_algebra_map_injective
[semiring A] [algebra R A] [no_zero_divisors A]
(h : function.injective (algebra_map R A)) : no_zero_smul_divisors R A :=
⟨λ c x hcx, (mul_eq_zero.mp ((smul_def c x).symm.trans hcx)).imp_left
((algebra_map R A).injective_iff.mp h _)⟩
variables (R A)
lemma algebra_map_injective [ring A] [nontrivial A]
[algebra R A] [no_zero_smul_divisors R A] :
function.injective (algebra_map R A) :=
suffices function.injective (λ (c : R), c • (1 : A)),
by { convert this, ext, rw [algebra.smul_def, mul_one] },
smul_left_injective R one_ne_zero
variables {R A}
lemma iff_algebra_map_injective [domain A] [algebra R A] :
no_zero_smul_divisors R A ↔ function.injective (algebra_map R A) :=
⟨@@no_zero_smul_divisors.algebra_map_injective R A _ _ _ _,
no_zero_smul_divisors.of_algebra_map_injective⟩
end ring
section field
variables [field R] [semiring A] [algebra R A]
@[priority 100] -- see note [lower instance priority]
instance algebra.no_zero_smul_divisors [nontrivial A] [no_zero_divisors A] :
no_zero_smul_divisors R A :=
no_zero_smul_divisors.of_algebra_map_injective (algebra_map R A).injective
end field
end no_zero_smul_divisors
namespace opposite
variables {R A : Type*} [comm_semiring R] [semiring A] [algebra R A]
instance : algebra R Aᵒᵖ :=
{ to_ring_hom := (algebra_map R A).to_opposite $ λ x y, algebra.commutes _ _,
smul_def' := λ c x, unop_injective $
by { dsimp, simp only [op_mul, algebra.smul_def, algebra.commutes, op_unop] },
commutes' := λ r, op_induction $ λ x, by dsimp; simp only [← op_mul, algebra.commutes],
..opposite.has_scalar A R }
@[simp] lemma algebra_map_apply (c : R) : algebra_map R Aᵒᵖ c = op (algebra_map R A c) := rfl
end opposite
namespace module
variables (R : Type u) (M : Type v) [comm_semiring R] [add_comm_monoid M] [module R M]
instance endomorphism_algebra : algebra R (M →ₗ[R] M) :=
{ to_fun := λ r, r • linear_map.id,
map_one' := one_smul _ _,
map_zero' := zero_smul _ _,
map_add' := λ r₁ r₂, add_smul _ _ _,
map_mul' := λ r₁ r₂, by { ext x, simp [mul_smul] },
commutes' := by { intros, ext, simp },
smul_def' := by { intros, ext, simp } }
lemma algebra_map_End_eq_smul_id (a : R) :
(algebra_map R (End R M)) a = a • linear_map.id := rfl
@[simp] lemma algebra_map_End_apply (a : R) (m : M) :
(algebra_map R (End R M)) a m = a • m := rfl
@[simp] lemma ker_algebra_map_End (K : Type u) (V : Type v)
[field K] [add_comm_group V] [module K V] (a : K) (ha : a ≠ 0) :
((algebra_map K (End K V)) a).ker = ⊥ :=
linear_map.ker_smul _ _ ha
end module
set_option old_structure_cmd true
/-- Defining the homomorphism in the category R-Alg. -/
@[nolint has_inhabited_instance]
structure alg_hom (R : Type u) (A : Type v) (B : Type w)
[comm_semiring R] [semiring A] [semiring B] [algebra R A] [algebra R B] extends ring_hom A B :=
(commutes' : ∀ r : R, to_fun (algebra_map R A r) = algebra_map R B r)
run_cmd tactic.add_doc_string `alg_hom.to_ring_hom "Reinterpret an `alg_hom` as a `ring_hom`"
infixr ` →ₐ `:25 := alg_hom _
notation A ` →ₐ[`:25 R `] ` B := alg_hom R A B
namespace alg_hom
variables {R : Type u} {A : Type v} {B : Type w} {C : Type u₁} {D : Type v₁}
section semiring
variables [comm_semiring R] [semiring A] [semiring B] [semiring C] [semiring D]
variables [algebra R A] [algebra R B] [algebra R C] [algebra R D]
instance : has_coe_to_fun (A →ₐ[R] B) := ⟨_, λ f, f.to_fun⟩
initialize_simps_projections alg_hom (to_fun → apply)
@[simp] lemma to_fun_eq_coe (f : A →ₐ[R] B) : f.to_fun = f := rfl
instance coe_ring_hom : has_coe (A →ₐ[R] B) (A →+* B) := ⟨alg_hom.to_ring_hom⟩
instance coe_monoid_hom : has_coe (A →ₐ[R] B) (A →* B) := ⟨λ f, ↑(f : A →+* B)⟩
instance coe_add_monoid_hom : has_coe (A →ₐ[R] B) (A →+ B) := ⟨λ f, ↑(f : A →+* B)⟩
@[simp, norm_cast] lemma coe_mk {f : A → B} (h₁ h₂ h₃ h₄ h₅) :
⇑(⟨f, h₁, h₂, h₃, h₄, h₅⟩ : A →ₐ[R] B) = f := rfl
-- make the coercion the simp-normal form
@[simp] lemma to_ring_hom_eq_coe (f : A →ₐ[R] B) : f.to_ring_hom = f := rfl
@[simp, norm_cast] lemma coe_to_ring_hom (f : A →ₐ[R] B) : ⇑(f : A →+* B) = f := rfl
-- as `simp` can already prove this lemma, it is not tagged with the `simp` attribute.
@[norm_cast] lemma coe_to_monoid_hom (f : A →ₐ[R] B) : ⇑(f : A →* B) = f := rfl
-- as `simp` can already prove this lemma, it is not tagged with the `simp` attribute.
@[norm_cast] lemma coe_to_add_monoid_hom (f : A →ₐ[R] B) : ⇑(f : A →+ B) = f := rfl
variables (φ : A →ₐ[R] B)
theorem coe_fn_inj ⦃φ₁ φ₂ : A →ₐ[R] B⦄ (H : ⇑φ₁ = φ₂) : φ₁ = φ₂ :=
by { cases φ₁, cases φ₂, congr, exact H }
theorem coe_ring_hom_injective : function.injective (coe : (A →ₐ[R] B) → (A →+* B)) :=
λ φ₁ φ₂ H, coe_fn_inj $ show ((φ₁ : (A →+* B)) : A → B) = ((φ₂ : (A →+* B)) : A → B),
from congr_arg _ H
theorem coe_monoid_hom_injective : function.injective (coe : (A →ₐ[R] B) → (A →* B)) :=
ring_hom.coe_monoid_hom_injective.comp coe_ring_hom_injective
theorem coe_add_monoid_hom_injective : function.injective (coe : (A →ₐ[R] B) → (A →+ B)) :=
ring_hom.coe_add_monoid_hom_injective.comp coe_ring_hom_injective
protected lemma congr_fun {φ₁ φ₂ : A →ₐ[R] B} (H : φ₁ = φ₂) (x : A) : φ₁ x = φ₂ x := H ▸ rfl
protected lemma congr_arg (φ : A →ₐ[R] B) {x y : A} (h : x = y) : φ x = φ y := h ▸ rfl
@[ext]
theorem ext {φ₁ φ₂ : A →ₐ[R] B} (H : ∀ x, φ₁ x = φ₂ x) : φ₁ = φ₂ :=
coe_fn_inj $ funext H
theorem ext_iff {φ₁ φ₂ : A →ₐ[R] B} : φ₁ = φ₂ ↔ ∀ x, φ₁ x = φ₂ x :=
⟨alg_hom.congr_fun, ext⟩
@[simp] theorem mk_coe {f : A →ₐ[R] B} (h₁ h₂ h₃ h₄ h₅) :
(⟨f, h₁, h₂, h₃, h₄, h₅⟩ : A →ₐ[R] B) = f := ext $ λ _, rfl
@[simp]
theorem commutes (r : R) : φ (algebra_map R A r) = algebra_map R B r := φ.commutes' r
theorem comp_algebra_map : (φ : A →+* B).comp (algebra_map R A) = algebra_map R B :=
ring_hom.ext $ φ.commutes
@[simp] lemma map_add (r s : A) : φ (r + s) = φ r + φ s :=
φ.to_ring_hom.map_add r s
@[simp] lemma map_zero : φ 0 = 0 :=
φ.to_ring_hom.map_zero
@[simp] lemma map_mul (x y) : φ (x * y) = φ x * φ y :=
φ.to_ring_hom.map_mul x y
@[simp] lemma map_one : φ 1 = 1 :=
φ.to_ring_hom.map_one
@[simp] lemma map_smul (r : R) (x : A) : φ (r • x) = r • φ x :=
by simp only [algebra.smul_def, map_mul, commutes]
@[simp] lemma map_pow (x : A) (n : ℕ) : φ (x ^ n) = (φ x) ^ n :=
φ.to_ring_hom.map_pow x n
lemma map_sum {ι : Type*} (f : ι → A) (s : finset ι) :
φ (∑ x in s, f x) = ∑ x in s, φ (f x) :=
φ.to_ring_hom.map_sum f s
lemma map_finsupp_sum {α : Type*} [has_zero α] {ι : Type*} (f : ι →₀ α) (g : ι → α → A) :
φ (f.sum g) = f.sum (λ i a, φ (g i a)) :=
φ.map_sum _ _
@[simp] lemma map_nat_cast (n : ℕ) : φ n = n :=
φ.to_ring_hom.map_nat_cast n
@[simp] lemma map_bit0 (x) : φ (bit0 x) = bit0 (φ x) :=
φ.to_ring_hom.map_bit0 x
@[simp] lemma map_bit1 (x) : φ (bit1 x) = bit1 (φ x) :=
φ.to_ring_hom.map_bit1 x
/-- If a `ring_hom` is `R`-linear, then it is an `alg_hom`. -/
def mk' (f : A →+* B) (h : ∀ (c : R) x, f (c • x) = c • f x) : A →ₐ[R] B :=
{ to_fun := f,
commutes' := λ c, by simp only [algebra.algebra_map_eq_smul_one, h, f.map_one],
.. f }
@[simp] lemma coe_mk' (f : A →+* B) (h : ∀ (c : R) x, f (c • x) = c • f x) : ⇑(mk' f h) = f := rfl
section
variables (R A)
/-- Identity map as an `alg_hom`. -/
protected def id : A →ₐ[R] A :=
{ commutes' := λ _, rfl,
..ring_hom.id A }
@[simp] lemma coe_id : ⇑(alg_hom.id R A) = id := rfl
@[simp] lemma id_to_ring_hom : (alg_hom.id R A : A →+* A) = ring_hom.id _ := rfl
end
lemma id_apply (p : A) : alg_hom.id R A p = p := rfl
/-- Composition of algebra homeomorphisms. -/
def comp (φ₁ : B →ₐ[R] C) (φ₂ : A →ₐ[R] B) : A →ₐ[R] C :=
{ commutes' := λ r : R, by rw [← φ₁.commutes, ← φ₂.commutes]; refl,
.. φ₁.to_ring_hom.comp ↑φ₂ }
@[simp] lemma coe_comp (φ₁ : B →ₐ[R] C) (φ₂ : A →ₐ[R] B) : ⇑(φ₁.comp φ₂) = φ₁ ∘ φ₂ := rfl
lemma comp_apply (φ₁ : B →ₐ[R] C) (φ₂ : A →ₐ[R] B) (p : A) : φ₁.comp φ₂ p = φ₁ (φ₂ p) := rfl
lemma comp_to_ring_hom (φ₁ : B →ₐ[R] C) (φ₂ : A →ₐ[R] B) :
⇑(φ₁.comp φ₂ : A →+* C) = (φ₁ : B →+* C).comp ↑φ₂ := rfl
@[simp] theorem comp_id : φ.comp (alg_hom.id R A) = φ :=
ext $ λ x, rfl
@[simp] theorem id_comp : (alg_hom.id R B).comp φ = φ :=
ext $ λ x, rfl
theorem comp_assoc (φ₁ : C →ₐ[R] D) (φ₂ : B →ₐ[R] C) (φ₃ : A →ₐ[R] B) :
(φ₁.comp φ₂).comp φ₃ = φ₁.comp (φ₂.comp φ₃) :=
ext $ λ x, rfl
/-- R-Alg ⥤ R-Mod -/
def to_linear_map : A →ₗ[R] B :=
{ to_fun := φ,
map_add' := φ.map_add,
map_smul' := φ.map_smul }
@[simp] lemma to_linear_map_apply (p : A) : φ.to_linear_map p = φ p := rfl
theorem to_linear_map_injective : function.injective (to_linear_map : _ → (A →ₗ[R] B)) :=
λ φ₁ φ₂ h, ext $ linear_map.congr_fun h
@[simp] lemma comp_to_linear_map (f : A →ₐ[R] B) (g : B →ₐ[R] C) :
(g.comp f).to_linear_map = g.to_linear_map.comp f.to_linear_map := rfl
@[simp] lemma to_linear_map_id : to_linear_map (alg_hom.id R A) = linear_map.id :=
linear_map.ext $ λ _, rfl
/-- Promote a `linear_map` to an `alg_hom` by supplying proofs about the behavior on `1` and `*`. -/
@[simps]
def of_linear_map (f : A →ₗ[R] B) (map_one : f 1 = 1) (map_mul : ∀ x y, f (x * y) = f x * f y) :
A →ₐ[R] B :=
{ to_fun := f,
map_one' := map_one,
map_mul' := map_mul,
commutes' := λ c, by simp only [algebra.algebra_map_eq_smul_one, f.map_smul, map_one],
.. f.to_add_monoid_hom }
@[simp] lemma of_linear_map_to_linear_map (map_one) (map_mul) :
of_linear_map φ.to_linear_map map_one map_mul = φ :=
by { ext, refl }
@[simp] lemma to_linear_map_of_linear_map (f : A →ₗ[R] B) (map_one) (map_mul) :
to_linear_map (of_linear_map f map_one map_mul) = f :=
by { ext, refl }
@[simp] lemma of_linear_map_id (map_one) (map_mul) :
of_linear_map linear_map.id map_one map_mul = alg_hom.id R A :=
ext $ λ _, rfl
lemma map_list_prod (s : list A) :
φ s.prod = (s.map φ).prod :=
φ.to_ring_hom.map_list_prod s
section prod
/-- First projection as `alg_hom`. -/
def fst : A × B →ₐ[R] A :=
{ commutes' := λ r, rfl, .. ring_hom.fst A B}
/-- Second projection as `alg_hom`. -/
def snd : A × B →ₐ[R] B :=
{ commutes' := λ r, rfl, .. ring_hom.snd A B}
end prod
lemma algebra_map_eq_apply (f : A →ₐ[R] B) {y : R} {x : A} (h : algebra_map R A y = x) :
algebra_map R B y = f x :=
h ▸ (f.commutes _).symm
end semiring
section comm_semiring
variables [comm_semiring R] [comm_semiring A] [comm_semiring B]
variables [algebra R A] [algebra R B] (φ : A →ₐ[R] B)
lemma map_multiset_prod (s : multiset A) :
φ s.prod = (s.map φ).prod :=
φ.to_ring_hom.map_multiset_prod s
lemma map_prod {ι : Type*} (f : ι → A) (s : finset ι) :
φ (∏ x in s, f x) = ∏ x in s, φ (f x) :=
φ.to_ring_hom.map_prod f s
lemma map_finsupp_prod {α : Type*} [has_zero α] {ι : Type*} (f : ι →₀ α) (g : ι → α → A) :
φ (f.prod g) = f.prod (λ i a, φ (g i a)) :=
φ.map_prod _ _
end comm_semiring
section ring
variables [comm_semiring R] [ring A] [ring B]
variables [algebra R A] [algebra R B] (φ : A →ₐ[R] B)
@[simp] lemma map_neg (x) : φ (-x) = -φ x :=
φ.to_ring_hom.map_neg x
@[simp] lemma map_sub (x y) : φ (x - y) = φ x - φ y :=
φ.to_ring_hom.map_sub x y
@[simp] lemma map_int_cast (n : ℤ) : φ n = n :=
φ.to_ring_hom.map_int_cast n
end ring
section division_ring
variables [comm_ring R] [division_ring A] [division_ring B]
variables [algebra R A] [algebra R B] (φ : A →ₐ[R] B)
@[simp] lemma map_inv (x) : φ (x⁻¹) = (φ x)⁻¹ :=
φ.to_ring_hom.map_inv x
@[simp] lemma map_div (x y) : φ (x / y) = φ x / φ y :=
φ.to_ring_hom.map_div x y
end division_ring
theorem injective_iff {R A B : Type*} [comm_semiring R] [ring A] [semiring B]
[algebra R A] [algebra R B] (f : A →ₐ[R] B) :
function.injective f ↔ (∀ x, f x = 0 → x = 0) :=
ring_hom.injective_iff (f : A →+* B)
end alg_hom
@[simp] lemma rat.smul_one_eq_coe {A : Type*} [division_ring A] [algebra ℚ A] (m : ℚ) :
m • (1 : A) = ↑m :=
by rw [algebra.smul_def, mul_one, ring_hom.eq_rat_cast]
set_option old_structure_cmd true
/-- An equivalence of algebras is an equivalence of rings commuting with the actions of scalars. -/
structure alg_equiv (R : Type u) (A : Type v) (B : Type w)
[comm_semiring R] [semiring A] [semiring B] [algebra R A] [algebra R B]
extends A ≃ B, A ≃* B, A ≃+ B, A ≃+* B :=
(commutes' : ∀ r : R, to_fun (algebra_map R A r) = algebra_map R B r)
attribute [nolint doc_blame] alg_equiv.to_ring_equiv
attribute [nolint doc_blame] alg_equiv.to_equiv
attribute [nolint doc_blame] alg_equiv.to_add_equiv
attribute [nolint doc_blame] alg_equiv.to_mul_equiv
notation A ` ≃ₐ[`:50 R `] ` A' := alg_equiv R A A'
namespace alg_equiv
variables {R : Type u} {A₁ : Type v} {A₂ : Type w} {A₃ : Type u₁}
section semiring
variables [comm_semiring R] [semiring A₁] [semiring A₂] [semiring A₃]
variables [algebra R A₁] [algebra R A₂] [algebra R A₃]
variables (e : A₁ ≃ₐ[R] A₂)
instance : has_coe_to_fun (A₁ ≃ₐ[R] A₂) := ⟨_, alg_equiv.to_fun⟩
@[ext]
lemma ext {f g : A₁ ≃ₐ[R] A₂} (h : ∀ a, f a = g a) : f = g :=
begin
have h₁ : f.to_equiv = g.to_equiv := equiv.ext h,
cases f, cases g, congr,
{ exact (funext h) },
{ exact congr_arg equiv.inv_fun h₁ }
end
protected lemma congr_arg {f : A₁ ≃ₐ[R] A₂} : Π {x x' : A₁}, x = x' → f x = f x'
| _ _ rfl := rfl
protected lemma congr_fun {f g : A₁ ≃ₐ[R] A₂} (h : f = g) (x : A₁) : f x = g x := h ▸ rfl
lemma ext_iff {f g : A₁ ≃ₐ[R] A₂} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, ext⟩
lemma coe_fun_injective : @function.injective (A₁ ≃ₐ[R] A₂) (A₁ → A₂) (λ e, (e : A₁ → A₂)) :=
begin
intros f g w,
ext,
exact congr_fun w a,
end
instance has_coe_to_ring_equiv : has_coe (A₁ ≃ₐ[R] A₂) (A₁ ≃+* A₂) := ⟨alg_equiv.to_ring_equiv⟩
@[simp] lemma coe_mk {to_fun inv_fun left_inv right_inv map_mul map_add commutes} :
⇑(⟨to_fun, inv_fun, left_inv, right_inv, map_mul, map_add, commutes⟩ : A₁ ≃ₐ[R] A₂) = to_fun :=
rfl
@[simp] theorem mk_coe (e : A₁ ≃ₐ[R] A₂) (e' h₁ h₂ h₃ h₄ h₅) :
(⟨e, e', h₁, h₂, h₃, h₄, h₅⟩ : A₁ ≃ₐ[R] A₂) = e := ext $ λ _, rfl
@[simp] lemma to_fun_eq_coe (e : A₁ ≃ₐ[R] A₂) : e.to_fun = e := rfl
-- TODO: decide on a simp-normal form so that only one of these two lemmas is needed
@[simp, norm_cast] lemma coe_ring_equiv : ((e : A₁ ≃+* A₂) : A₁ → A₂) = e := rfl
@[simp] lemma coe_ring_equiv' : (e.to_ring_equiv : A₁ → A₂) = e := rfl
lemma coe_ring_equiv_injective : function.injective (coe : (A₁ ≃ₐ[R] A₂) → (A₁ ≃+* A₂)) :=
λ e₁ e₂ h, ext $ ring_equiv.congr_fun h
@[simp] lemma map_add : ∀ x y, e (x + y) = e x + e y := e.to_add_equiv.map_add
@[simp] lemma map_zero : e 0 = 0 := e.to_add_equiv.map_zero
@[simp] lemma map_mul : ∀ x y, e (x * y) = (e x) * (e y) := e.to_mul_equiv.map_mul
@[simp] lemma map_one : e 1 = 1 := e.to_mul_equiv.map_one
@[simp] lemma commutes : ∀ (r : R), e (algebra_map R A₁ r) = algebra_map R A₂ r :=
e.commutes'
lemma map_sum {ι : Type*} (f : ι → A₁) (s : finset ι) :
e (∑ x in s, f x) = ∑ x in s, e (f x) :=
e.to_add_equiv.map_sum f s
lemma map_finsupp_sum {α : Type*} [has_zero α] {ι : Type*} (f : ι →₀ α) (g : ι → α → A₁) :
e (f.sum g) = f.sum (λ i b, e (g i b)) :=
e.map_sum _ _
/-- Interpret an algebra equivalence as an algebra homomorphism.
This definition is included for symmetry with the other `to_*_hom` projections.
The `simp` normal form is to use the coercion of the `has_coe_to_alg_hom` instance. -/
def to_alg_hom : A₁ →ₐ[R] A₂ :=
{ map_one' := e.map_one, map_zero' := e.map_zero, ..e }
instance has_coe_to_alg_hom : has_coe (A₁ ≃ₐ[R] A₂) (A₁ →ₐ[R] A₂) :=
⟨to_alg_hom⟩
@[simp] lemma to_alg_hom_eq_coe : e.to_alg_hom = e := rfl
@[simp, norm_cast] lemma coe_alg_hom : ((e : A₁ →ₐ[R] A₂) : A₁ → A₂) = e :=
rfl
lemma coe_alg_hom_injective : function.injective (coe : (A₁ ≃ₐ[R] A₂) → (A₁ →ₐ[R] A₂)) :=
λ e₁ e₂ h, ext $ alg_hom.congr_fun h
/-- The two paths coercion can take to a `ring_hom` are equivalent -/
lemma coe_ring_hom_commutes : ((e : A₁ →ₐ[R] A₂) : A₁ →+* A₂) = ((e : A₁ ≃+* A₂) : A₁ →+* A₂) :=
rfl
@[simp] lemma map_pow : ∀ (x : A₁) (n : ℕ), e (x ^ n) = (e x) ^ n := e.to_alg_hom.map_pow
lemma injective : function.injective e := e.to_equiv.injective
lemma surjective : function.surjective e := e.to_equiv.surjective
lemma bijective : function.bijective e := e.to_equiv.bijective
instance : has_one (A₁ ≃ₐ[R] A₁) := ⟨{commutes' := λ r, rfl, ..(1 : A₁ ≃+* A₁)}⟩
instance : inhabited (A₁ ≃ₐ[R] A₁) := ⟨1⟩
/-- Algebra equivalences are reflexive. -/
@[refl]
def refl : A₁ ≃ₐ[R] A₁ := 1
@[simp] lemma refl_to_alg_hom : ↑(refl : A₁ ≃ₐ[R] A₁) = alg_hom.id R A₁ := rfl
@[simp] lemma coe_refl : ⇑(refl : A₁ ≃ₐ[R] A₁) = id := rfl
/-- Algebra equivalences are symmetric. -/
@[symm]
def symm (e : A₁ ≃ₐ[R] A₂) : A₂ ≃ₐ[R] A₁ :=
{ commutes' := λ r, by { rw ←e.to_ring_equiv.symm_apply_apply (algebra_map R A₁ r), congr,
change _ = e _, rw e.commutes, },
..e.to_ring_equiv.symm, }
/-- See Note [custom simps projection] -/
def simps.symm_apply (e : A₁ ≃ₐ[R] A₂) : A₂ → A₁ := e.symm
initialize_simps_projections alg_equiv (to_fun → apply, inv_fun → symm_apply)
@[simp] lemma inv_fun_eq_symm {e : A₁ ≃ₐ[R] A₂} : e.inv_fun = e.symm := rfl
@[simp] lemma symm_symm (e : A₁ ≃ₐ[R] A₂) : e.symm.symm = e :=
by { ext, refl, }
lemma symm_bijective : function.bijective (symm : (A₁ ≃ₐ[R] A₂) → (A₂ ≃ₐ[R] A₁)) :=
equiv.bijective ⟨symm, symm, symm_symm, symm_symm⟩
@[simp] lemma mk_coe' (e : A₁ ≃ₐ[R] A₂) (f h₁ h₂ h₃ h₄ h₅) :
(⟨f, e, h₁, h₂, h₃, h₄, h₅⟩ : A₂ ≃ₐ[R] A₁) = e.symm :=
symm_bijective.injective $ ext $ λ x, rfl
@[simp] theorem symm_mk (f f') (h₁ h₂ h₃ h₄ h₅) :
(⟨f, f', h₁, h₂, h₃, h₄, h₅⟩ : A₁ ≃ₐ[R] A₂).symm =
{ to_fun := f', inv_fun := f,
..(⟨f, f', h₁, h₂, h₃, h₄, h₅⟩ : A₁ ≃ₐ[R] A₂).symm } := rfl
/-- Algebra equivalences are transitive. -/
@[trans]
def trans (e₁ : A₁ ≃ₐ[R] A₂) (e₂ : A₂ ≃ₐ[R] A₃) : A₁ ≃ₐ[R] A₃ :=
{ commutes' := λ r, show e₂.to_fun (e₁.to_fun _) = _, by rw [e₁.commutes', e₂.commutes'],
..(e₁.to_ring_equiv.trans e₂.to_ring_equiv), }
@[simp] lemma apply_symm_apply (e : A₁ ≃ₐ[R] A₂) : ∀ x, e (e.symm x) = x :=
e.to_equiv.apply_symm_apply
@[simp] lemma symm_apply_apply (e : A₁ ≃ₐ[R] A₂) : ∀ x, e.symm (e x) = x :=
e.to_equiv.symm_apply_apply
@[simp] lemma coe_trans (e₁ : A₁ ≃ₐ[R] A₂) (e₂ : A₂ ≃ₐ[R] A₃) :
⇑(e₁.trans e₂) = e₂ ∘ e₁ := rfl
lemma trans_apply (e₁ : A₁ ≃ₐ[R] A₂) (e₂ : A₂ ≃ₐ[R] A₃) (x : A₁) :
(e₁.trans e₂) x = e₂ (e₁ x) := rfl
@[simp] lemma comp_symm (e : A₁ ≃ₐ[R] A₂) :
alg_hom.comp (e : A₁ →ₐ[R] A₂) ↑e.symm = alg_hom.id R A₂ :=
by { ext, simp }
@[simp] lemma symm_comp (e : A₁ ≃ₐ[R] A₂) :
alg_hom.comp ↑e.symm (e : A₁ →ₐ[R] A₂) = alg_hom.id R A₁ :=
by { ext, simp }
theorem left_inverse_symm (e : A₁ ≃ₐ[R] A₂) : function.left_inverse e.symm e := e.left_inv
theorem right_inverse_symm (e : A₁ ≃ₐ[R] A₂) : function.right_inverse e.symm e := e.right_inv
/-- If `A₁` is equivalent to `A₁'` and `A₂` is equivalent to `A₂'`, then the type of maps
`A₁ →ₐ[R] A₂` is equivalent to the type of maps `A₁' →ₐ[R] A₂'`. -/
def arrow_congr {A₁' A₂' : Type*} [semiring A₁'] [semiring A₂'] [algebra R A₁'] [algebra R A₂']
(e₁ : A₁ ≃ₐ[R] A₁') (e₂ : A₂ ≃ₐ[R] A₂') : (A₁ →ₐ[R] A₂) ≃ (A₁' →ₐ[R] A₂') :=
{ to_fun := λ f, (e₂.to_alg_hom.comp f).comp e₁.symm.to_alg_hom,
inv_fun := λ f, (e₂.symm.to_alg_hom.comp f).comp e₁.to_alg_hom,
left_inv := λ f, by { simp only [alg_hom.comp_assoc, to_alg_hom_eq_coe, symm_comp],
simp only [←alg_hom.comp_assoc, symm_comp, alg_hom.id_comp, alg_hom.comp_id] },
right_inv := λ f, by { simp only [alg_hom.comp_assoc, to_alg_hom_eq_coe, comp_symm],
simp only [←alg_hom.comp_assoc, comp_symm, alg_hom.id_comp, alg_hom.comp_id] } }
lemma arrow_congr_comp {A₁' A₂' A₃' : Type*} [semiring A₁'] [semiring A₂'] [semiring A₃']
[algebra R A₁'] [algebra R A₂'] [algebra R A₃'] (e₁ : A₁ ≃ₐ[R] A₁') (e₂ : A₂ ≃ₐ[R] A₂')
(e₃ : A₃ ≃ₐ[R] A₃') (f : A₁ →ₐ[R] A₂) (g : A₂ →ₐ[R] A₃) :
arrow_congr e₁ e₃ (g.comp f) = (arrow_congr e₂ e₃ g).comp (arrow_congr e₁ e₂ f) :=
by { ext, simp only [arrow_congr, equiv.coe_fn_mk, alg_hom.comp_apply],
congr, exact (e₂.symm_apply_apply _).symm }
@[simp] lemma arrow_congr_refl :
arrow_congr alg_equiv.refl alg_equiv.refl = equiv.refl (A₁ →ₐ[R] A₂) :=
by { ext, refl }
@[simp] lemma arrow_congr_trans {A₁' A₂' A₃' : Type*} [semiring A₁'] [semiring A₂'] [semiring A₃']
[algebra R A₁'] [algebra R A₂'] [algebra R A₃'] (e₁ : A₁ ≃ₐ[R] A₂) (e₁' : A₁' ≃ₐ[R] A₂')
(e₂ : A₂ ≃ₐ[R] A₃) (e₂' : A₂' ≃ₐ[R] A₃') :
arrow_congr (e₁.trans e₂) (e₁'.trans e₂') = (arrow_congr e₁ e₁').trans (arrow_congr e₂ e₂') :=
by { ext, refl }
@[simp] lemma arrow_congr_symm {A₁' A₂' : Type*} [semiring A₁'] [semiring A₂']
[algebra R A₁'] [algebra R A₂'] (e₁ : A₁ ≃ₐ[R] A₁') (e₂ : A₂ ≃ₐ[R] A₂') :
(arrow_congr e₁ e₂).symm = arrow_congr e₁.symm e₂.symm :=
by { ext, refl }
/-- If an algebra morphism has an inverse, it is a algebra isomorphism. -/
def of_alg_hom (f : A₁ →ₐ[R] A₂) (g : A₂ →ₐ[R] A₁) (h₁ : f.comp g = alg_hom.id R A₂)
(h₂ : g.comp f = alg_hom.id R A₁) : A₁ ≃ₐ[R] A₂ :=
{ to_fun := f,
inv_fun := g,
left_inv := alg_hom.ext_iff.1 h₂,
right_inv := alg_hom.ext_iff.1 h₁,
..f }
lemma coe_alg_hom_of_alg_hom (f : A₁ →ₐ[R] A₂) (g : A₂ →ₐ[R] A₁) (h₁ h₂) :
↑(of_alg_hom f g h₁ h₂) = f := alg_hom.ext $ λ _, rfl
@[simp]
lemma of_alg_hom_coe_alg_hom (f : A₁ ≃ₐ[R] A₂) (g : A₂ →ₐ[R] A₁) (h₁ h₂) :
of_alg_hom ↑f g h₁ h₂ = f := ext $ λ _, rfl
lemma of_alg_hom_symm (f : A₁ →ₐ[R] A₂) (g : A₂ →ₐ[R] A₁) (h₁ h₂) :
(of_alg_hom f g h₁ h₂).symm = of_alg_hom g f h₂ h₁ := rfl
/-- Promotes a bijective algebra homomorphism to an algebra equivalence. -/
noncomputable def of_bijective (f : A₁ →ₐ[R] A₂) (hf : function.bijective f) : A₁ ≃ₐ[R] A₂ :=
{ .. ring_equiv.of_bijective (f : A₁ →+* A₂) hf, .. f }
/-- Forgetting the multiplicative structures, an equivalence of algebras is a linear equivalence. -/
@[simps apply] def to_linear_equiv (e : A₁ ≃ₐ[R] A₂) : A₁ ≃ₗ[R] A₂ :=
{ to_fun := e,
map_smul' := λ r x, by simp [algebra.smul_def''],
inv_fun := e.symm,
.. e }
@[simp] lemma to_linear_equiv_refl :
(alg_equiv.refl : A₁ ≃ₐ[R] A₁).to_linear_equiv = linear_equiv.refl R A₁ := rfl
@[simp] lemma to_linear_equiv_symm (e : A₁ ≃ₐ[R] A₂) :
e.to_linear_equiv.symm = e.symm.to_linear_equiv := rfl
@[simp] lemma to_linear_equiv_trans (e₁ : A₁ ≃ₐ[R] A₂) (e₂ : A₂ ≃ₐ[R] A₃) :
(e₁.trans e₂).to_linear_equiv = e₁.to_linear_equiv.trans e₂.to_linear_equiv := rfl
theorem to_linear_equiv_injective : function.injective (to_linear_equiv : _ → (A₁ ≃ₗ[R] A₂)) :=
λ e₁ e₂ h, ext $ linear_equiv.congr_fun h
/-- Interpret an algebra equivalence as a linear map. -/
def to_linear_map : A₁ →ₗ[R] A₂ :=
e.to_alg_hom.to_linear_map
@[simp] lemma to_alg_hom_to_linear_map :
(e : A₁ →ₐ[R] A₂).to_linear_map = e.to_linear_map := rfl
@[simp] lemma to_linear_equiv_to_linear_map :
e.to_linear_equiv.to_linear_map = e.to_linear_map := rfl
@[simp] lemma to_linear_map_apply (x : A₁) : e.to_linear_map x = e x := rfl
theorem to_linear_map_injective : function.injective (to_linear_map : _ → (A₁ →ₗ[R] A₂)) :=
λ e₁ e₂ h, ext $ linear_map.congr_fun h
@[simp] lemma trans_to_linear_map (f : A₁ ≃ₐ[R] A₂) (g : A₂ ≃ₐ[R] A₃) :
(f.trans g).to_linear_map = g.to_linear_map.comp f.to_linear_map := rfl
section of_linear_equiv
variables (l : A₁ ≃ₗ[R] A₂)
(map_mul : ∀ x y : A₁, l (x * y) = l x * l y)
(commutes : ∀ r : R, l (algebra_map R A₁ r) = algebra_map R A₂ r)
/--
Upgrade a linear equivalence to an algebra equivalence,
given that it distributes over multiplication and action of scalars.
-/
@[simps apply]
def of_linear_equiv : A₁ ≃ₐ[R] A₂ :=
{ to_fun := l,
inv_fun := l.symm,
map_mul' := map_mul,
commutes' := commutes,
..l }
@[simp]
lemma of_linear_equiv_symm :
(of_linear_equiv l map_mul commutes).symm = of_linear_equiv l.symm
((of_linear_equiv l map_mul commutes).symm.map_mul)
((of_linear_equiv l map_mul commutes).symm.commutes) :=
rfl
@[simp] lemma of_linear_equiv_to_linear_equiv (map_mul) (commutes) :
of_linear_equiv e.to_linear_equiv map_mul commutes = e :=
by { ext, refl }
@[simp] lemma to_linear_equiv_of_linear_equiv :
to_linear_equiv (of_linear_equiv l map_mul commutes) = l :=
by { ext, refl }
end of_linear_equiv
instance aut : group (A₁ ≃ₐ[R] A₁) :=
{ mul := λ ϕ ψ, ψ.trans ϕ,
mul_assoc := λ ϕ ψ χ, rfl,
one := 1,
one_mul := λ ϕ, by { ext, refl },
mul_one := λ ϕ, by { ext, refl },
inv := symm,
mul_left_inv := λ ϕ, by { ext, exact symm_apply_apply ϕ a } }
@[simp] lemma mul_apply (e₁ e₂ : A₁ ≃ₐ[R] A₁) (x : A₁) : (e₁ * e₂) x = e₁ (e₂ x) := rfl
/-- An algebra isomorphism induces a group isomorphism between automorphism groups -/
@[simps apply]
def aut_congr (ϕ : A₁ ≃ₐ[R] A₂) : (A₁ ≃ₐ[R] A₁) ≃* (A₂ ≃ₐ[R] A₂) :=
{ to_fun := λ ψ, ϕ.symm.trans (ψ.trans ϕ),
inv_fun := λ ψ, ϕ.trans (ψ.trans ϕ.symm),
left_inv := λ ψ, by { ext, simp_rw [trans_apply, symm_apply_apply] },
right_inv := λ ψ, by { ext, simp_rw [trans_apply, apply_symm_apply] },
map_mul' := λ ψ χ, by { ext, simp only [mul_apply, trans_apply, symm_apply_apply] } }
@[simp] lemma aut_congr_refl : aut_congr (alg_equiv.refl) = mul_equiv.refl (A₁ ≃ₐ[R] A₁) :=
by { ext, refl }
@[simp] lemma aut_congr_symm (ϕ : A₁ ≃ₐ[R] A₂) : (aut_congr ϕ).symm = aut_congr ϕ.symm := rfl
@[simp] lemma aut_congr_trans (ϕ : A₁ ≃ₐ[R] A₂) (ψ : A₂ ≃ₐ[R] A₃) :
(aut_congr ϕ).trans (aut_congr ψ) = aut_congr (ϕ.trans ψ) := rfl
/-- The tautological action by `A₁ ≃ₐ[R] A₁` on `A₁`.
This generalizes `function.End.apply_mul_action`. -/
instance apply_mul_semiring_action : mul_semiring_action (A₁ ≃ₐ[R] A₁) A₁ :=
{ smul := ($),
smul_zero := alg_equiv.map_zero,
smul_add := alg_equiv.map_add,
smul_one := alg_equiv.map_one,
smul_mul := alg_equiv.map_mul,
one_smul := λ _, rfl,
mul_smul := λ _ _ _, rfl }
@[simp] protected lemma smul_def (f : A₁ ≃ₐ[R] A₁) (a : A₁) : f • a = f a := rfl
instance apply_has_faithful_scalar : has_faithful_scalar (A₁ ≃ₐ[R] A₁) A₁ :=
⟨λ _ _, alg_equiv.ext⟩
instance apply_smul_comm_class : smul_comm_class R (A₁ ≃ₐ[R] A₁) A₁ :=
{ smul_comm := λ r e a, (e.to_linear_equiv.map_smul r a).symm }
instance apply_smul_comm_class' : smul_comm_class (A₁ ≃ₐ[R] A₁) R A₁ :=
{ smul_comm := λ e r a, (e.to_linear_equiv.map_smul r a) }
@[simp] lemma algebra_map_eq_apply (e : A₁ ≃ₐ[R] A₂) {y : R} {x : A₁} :
(algebra_map R A₂ y = e x) ↔ (algebra_map R A₁ y = x) :=
⟨λ h, by simpa using e.symm.to_alg_hom.algebra_map_eq_apply h,
λ h, e.to_alg_hom.algebra_map_eq_apply h⟩
end semiring
section comm_semiring
variables [comm_semiring R] [comm_semiring A₁] [comm_semiring A₂]
variables [algebra R A₁] [algebra R A₂] (e : A₁ ≃ₐ[R] A₂)
lemma map_prod {ι : Type*} (f : ι → A₁) (s : finset ι) :
e (∏ x in s, f x) = ∏ x in s, e (f x) :=
e.to_alg_hom.map_prod f s
lemma map_finsupp_prod {α : Type*} [has_zero α] {ι : Type*} (f : ι →₀ α) (g : ι → α → A₁) :
e (f.prod g) = f.prod (λ i a, e (g i a)) :=
e.to_alg_hom.map_finsupp_prod f g
end comm_semiring
section ring
variables [comm_ring R] [ring A₁] [ring A₂]
variables [algebra R A₁] [algebra R A₂] (e : A₁ ≃ₐ[R] A₂)
@[simp] lemma map_neg (x) : e (-x) = -e x :=
e.to_alg_hom.map_neg x
@[simp] lemma map_sub (x y) : e (x - y) = e x - e y :=
e.to_alg_hom.map_sub x y
end ring
section division_ring
variables [comm_ring R] [division_ring A₁] [division_ring A₂]
variables [algebra R A₁] [algebra R A₂] (e : A₁ ≃ₐ[R] A₂)
@[simp] lemma map_inv (x) : e (x⁻¹) = (e x)⁻¹ :=
e.to_alg_hom.map_inv x
@[simp] lemma map_div (x y) : e (x / y) = e x / e y :=
e.to_alg_hom.map_div x y
end division_ring
end alg_equiv
namespace mul_semiring_action
variables {M G : Type*} (R A : Type*) [comm_semiring R] [semiring A] [algebra R A]
section
variables [monoid M] [mul_semiring_action M A] [smul_comm_class M R A]
/-- Each element of the monoid defines a algebra homomorphism.
This is a stronger version of `mul_semiring_action.to_ring_hom` and
`distrib_mul_action.to_linear_map`. -/
@[simps]
def to_alg_hom (m : M) : A →ₐ[R] A :=
alg_hom.mk' (mul_semiring_action.to_ring_hom _ _ m) (smul_comm _)
theorem to_alg_hom_injective [has_faithful_scalar M A] :
function.injective (mul_semiring_action.to_alg_hom R A : M → A →ₐ[R] A) :=
λ m₁ m₂ h, eq_of_smul_eq_smul $ λ r, alg_hom.ext_iff.1 h r
end
section
variables [group G] [mul_semiring_action G A] [smul_comm_class G R A]
/-- Each element of the group defines a algebra equivalence.
This is a stronger version of `mul_semiring_action.to_ring_equiv` and
`distrib_mul_action.to_linear_equiv`. -/
@[simps]
def to_alg_equiv (g : G) : A ≃ₐ[R] A :=
{ .. mul_semiring_action.to_ring_equiv _ _ g,
.. mul_semiring_action.to_alg_hom R A g }
theorem to_alg_equiv_injective [has_faithful_scalar G A] :
function.injective (mul_semiring_action.to_alg_equiv R A : G → A ≃ₐ[R] A) :=
λ m₁ m₂ h, eq_of_smul_eq_smul $ λ r, alg_equiv.ext_iff.1 h r
end
end mul_semiring_action
section nat
variables {R : Type*} [semiring R]
-- Lower the priority so that `algebra.id` is picked most of the time when working with
-- `ℕ`-algebras. This is only an issue since `algebra.id` and `algebra_nat` are not yet defeq.
-- TODO: fix this by adding an `of_nat` field to semirings.
/-- Semiring ⥤ ℕ-Alg -/
@[priority 99] instance algebra_nat : algebra ℕ R :=
{ commutes' := nat.cast_commute,
smul_def' := λ _ _, nsmul_eq_mul _ _,
to_ring_hom := nat.cast_ring_hom R }
instance nat_algebra_subsingleton : subsingleton (algebra ℕ R) :=
⟨λ P Q, by { ext, simp, }⟩
end nat
namespace ring_hom
variables {R S : Type*}
/-- Reinterpret a `ring_hom` as an `ℕ`-algebra homomorphism. -/
def to_nat_alg_hom [semiring R] [semiring S] (f : R →+* S) :
R →ₐ[ℕ] S :=
{ to_fun := f, commutes' := λ n, by simp, .. f }
/-- Reinterpret a `ring_hom` as a `ℤ`-algebra homomorphism. -/
def to_int_alg_hom [ring R] [ring S] [algebra ℤ R] [algebra ℤ S] (f : R →+* S) :
R →ₐ[ℤ] S :=
{ commutes' := λ n, by simp, .. f }
@[simp] lemma map_rat_algebra_map [ring R] [ring S] [algebra ℚ R] [algebra ℚ S] (f : R →+* S)
(r : ℚ) :
f (algebra_map ℚ R r) = algebra_map ℚ S r :=
ring_hom.ext_iff.1 (subsingleton.elim (f.comp (algebra_map ℚ R)) (algebra_map ℚ S)) r
/-- Reinterpret a `ring_hom` as a `ℚ`-algebra homomorphism. -/
def to_rat_alg_hom [ring R] [ring S] [algebra ℚ R] [algebra ℚ S] (f : R →+* S) :
R →ₐ[ℚ] S :=
{ commutes' := f.map_rat_algebra_map, .. f }
end ring_hom
namespace rat
instance algebra_rat {α} [division_ring α] [char_zero α] : algebra ℚ α :=
(rat.cast_hom α).to_algebra' $ λ r x, r.cast_commute x
@[simp] theorem algebra_map_rat_rat : algebra_map ℚ ℚ = ring_hom.id ℚ :=
subsingleton.elim _ _
-- TODO[gh-6025]: make this an instance once safe to do so
lemma algebra_rat_subsingleton {α} [semiring α] :
subsingleton (algebra ℚ α) :=
⟨λ x y, algebra.algebra_ext x y $ ring_hom.congr_fun $ subsingleton.elim _ _⟩
end rat
namespace char_zero
variables {R : Type*} (S : Type*) [comm_semiring R] [semiring S] [algebra R S]
lemma of_algebra [char_zero S] : char_zero R :=
⟨begin
suffices : function.injective (algebra_map R S ∘ coe),
{ exact this.of_comp },
convert char_zero.cast_injective,
ext n,
rw [function.comp_app, ← (algebra_map ℕ _).eq_nat_cast, ← ring_hom.comp_apply,
ring_hom.eq_nat_cast],
all_goals { apply_instance }
end⟩
end char_zero
namespace algebra
open module
variables (R : Type u) (A : Type v)
variables [comm_semiring R] [semiring A] [algebra R A]
/-- `algebra_map` as an `alg_hom`. -/
def of_id : R →ₐ[R] A :=
{ commutes' := λ _, rfl, .. algebra_map R A }
variables {R}
theorem of_id_apply (r) : of_id R A r = algebra_map R A r := rfl
variables (R A)
/-- The multiplication in an algebra is a bilinear map.
A weaker version of this for semirings exists as `add_monoid_hom.mul`. -/
def lmul : A →ₐ[R] (End R A) :=
{ map_one' := by { ext a, exact one_mul a },
map_mul' := by { intros a b, ext c, exact mul_assoc a b c },
map_zero' := by { ext a, exact zero_mul a },
commutes' := by { intro r, ext a, dsimp, rw [smul_def] },
.. (show A →ₗ[R] A →ₗ[R] A, from linear_map.mk₂ R (*)
(λ x y z, add_mul x y z)
(λ c x y, by rw [smul_def, smul_def, mul_assoc _ x y])
(λ x y z, mul_add x y z)
(λ c x y, by rw [smul_def, smul_def, left_comm])) }
variables {A}
/-- The multiplication on the left in an algebra is a linear map. -/
def lmul_left (r : A) : A →ₗ[R] A :=
lmul R A r
/-- The multiplication on the right in an algebra is a linear map. -/
def lmul_right (r : A) : A →ₗ[R] A :=
(lmul R A).to_linear_map.flip r
/-- Simultaneous multiplication on the left and right is a linear map. -/
def lmul_left_right (vw: A × A) : A →ₗ[R] A :=
(lmul_right R vw.2).comp (lmul_left R vw.1)
/-- The multiplication map on an algebra, as an `R`-linear map from `A ⊗[R] A` to `A`. -/
def lmul' : A ⊗[R] A →ₗ[R] A :=
tensor_product.lift (lmul R A).to_linear_map
lemma commute_lmul_left_right (a b : A) :
commute (lmul_left R a) (lmul_right R b) :=
by { ext c, exact (mul_assoc a c b).symm, }
variables {R A}
@[simp] lemma lmul_apply (p q : A) : lmul R A p q = p * q := rfl
@[simp] lemma lmul_left_apply (p q : A) : lmul_left R p q = p * q := rfl
@[simp] lemma lmul_right_apply (p q : A) : lmul_right R p q = q * p := rfl
@[simp] lemma lmul_left_right_apply (vw : A × A) (p : A) :
lmul_left_right R vw p = vw.1 * p * vw.2 := rfl
@[simp] lemma lmul_left_one : lmul_left R (1:A) = linear_map.id :=
by { ext, simp only [linear_map.id_coe, one_mul, id.def, lmul_left_apply] }
@[simp] lemma lmul_left_mul (a b : A) :
lmul_left R (a * b) = (lmul_left R a).comp (lmul_left R b) :=
by { ext, simp only [lmul_left_apply, linear_map.comp_apply, mul_assoc] }
@[simp] lemma lmul_right_one : lmul_right R (1:A) = linear_map.id :=
by { ext, simp only [linear_map.id_coe, mul_one, id.def, lmul_right_apply] }
@[simp] lemma lmul_right_mul (a b : A) :
lmul_right R (a * b) = (lmul_right R b).comp (lmul_right R a) :=
by { ext, simp only [lmul_right_apply, linear_map.comp_apply, mul_assoc] }
@[simp] lemma lmul_left_zero_eq_zero :
lmul_left R (0 : A) = 0 :=
(lmul R A).map_zero
@[simp] lemma lmul_right_zero_eq_zero :
lmul_right R (0 : A) = 0 :=
(lmul R A).to_linear_map.flip.map_zero
@[simp] lemma lmul_left_eq_zero_iff (a : A) :
lmul_left R a = 0 ↔ a = 0 :=
begin
split; intros h,
{ rw [← mul_one a, ← lmul_left_apply a 1, h, linear_map.zero_apply], },
{ rw h, exact lmul_left_zero_eq_zero, },
end
@[simp] lemma lmul_right_eq_zero_iff (a : A) :
lmul_right R a = 0 ↔ a = 0 :=
begin
split; intros h,
{ rw [← one_mul a, ← lmul_right_apply a 1, h, linear_map.zero_apply], },
{ rw h, exact lmul_right_zero_eq_zero, },
end
@[simp] lemma pow_lmul_left (a : A) (n : ℕ) :
(lmul_left R a) ^ n = lmul_left R (a ^ n) :=
((lmul R A).map_pow a n).symm
@[simp] lemma pow_lmul_right (a : A) (n : ℕ) :
(lmul_right R a) ^ n = lmul_right R (a ^ n) :=
linear_map.coe_injective $ ((lmul_right R a).coe_pow n).symm ▸ (mul_right_iterate a n)
@[simp] lemma lmul'_apply {x y : A} : lmul' R (x ⊗ₜ y) = x * y :=
by simp only [algebra.lmul', tensor_product.lift.tmul, alg_hom.to_linear_map_apply, lmul_apply]
instance linear_map.module' (R : Type u) [comm_semiring R]
(M : Type v) [add_comm_monoid M] [module R M]
(S : Type w) [comm_semiring S] [algebra R S] : module S (M →ₗ[R] S) :=
{ smul := λ s f, linear_map.llcomp _ _ _ _ (algebra.lmul R S s) f,
one_smul := λ f, linear_map.ext $ λ x, one_mul _,
mul_smul := λ s₁ s₂ f, linear_map.ext $ λ x, mul_assoc _ _ _,
smul_add := λ s f g, linear_map.map_add _ _ _,
smul_zero := λ s, linear_map.map_zero _,
add_smul := λ s₁ s₂ f, linear_map.ext $ λ x, add_mul _ _ _,
zero_smul := λ f, linear_map.ext $ λ x, zero_mul _ }
end algebra
section ring
namespace algebra
variables {R A : Type*} [comm_semiring R] [ring A] [algebra R A]
lemma lmul_left_injective [no_zero_divisors A] {x : A} (hx : x ≠ 0) :
function.injective (lmul_left R x) :=
by { letI : domain A := { exists_pair_ne := ⟨x, 0, hx⟩, ..‹ring A›, ..‹no_zero_divisors A› },
exact mul_right_injective' hx }
lemma lmul_right_injective [no_zero_divisors A] {x : A} (hx : x ≠ 0) :
function.injective (lmul_right R x) :=
by { letI : domain A := { exists_pair_ne := ⟨x, 0, hx⟩, ..‹ring A›, ..‹no_zero_divisors A› },
exact mul_left_injective' hx }
lemma lmul_injective [no_zero_divisors A] {x : A} (hx : x ≠ 0) :
function.injective (lmul R A x) :=
by { letI : domain A := { exists_pair_ne := ⟨x, 0, hx⟩, ..‹ring A›, ..‹no_zero_divisors A› },
exact mul_right_injective' hx }
end algebra
end ring
section int
variables (R : Type*) [ring R]
-- Lower the priority so that `algebra.id` is picked most of the time when working with
-- `ℤ`-algebras. This is only an issue since `algebra.id ℤ` and `algebra_int ℤ` are not yet defeq.
-- TODO: fix this by adding an `of_int` field to rings.
/-- Ring ⥤ ℤ-Alg -/
@[priority 99] instance algebra_int : algebra ℤ R :=
{ commutes' := int.cast_commute,
smul_def' := λ _ _, gsmul_eq_mul _ _,
to_ring_hom := int.cast_ring_hom R }
variables {R}
instance int_algebra_subsingleton : subsingleton (algebra ℤ R) :=
⟨λ P Q, by { ext, simp, }⟩
end int
/-!
The R-algebra structure on `Π i : I, A i` when each `A i` is an R-algebra.
We couldn't set this up back in `algebra.pi_instances` because this file imports it.
-/
namespace pi
variable {I : Type u} -- The indexing type
variable {R : Type*} -- The scalar type
variable {f : I → Type v} -- The family of types already equipped with instances
variables (x y : Π i, f i) (i : I)
variables (I f)
instance algebra {r : comm_semiring R}
[s : ∀ i, semiring (f i)] [∀ i, algebra R (f i)] :
algebra R (Π i : I, f i) :=
{ commutes' := λ a f, begin ext, simp [algebra.commutes], end,
smul_def' := λ a f, begin ext, simp [algebra.smul_def''], end,
..(pi.ring_hom (λ i, algebra_map R (f i)) : R →+* Π i : I, f i) }
@[simp] lemma algebra_map_apply {r : comm_semiring R}
[s : ∀ i, semiring (f i)] [∀ i, algebra R (f i)] (a : R) (i : I) :
algebra_map R (Π i, f i) a i = algebra_map R (f i) a := rfl
-- One could also build a `Π i, R i`-algebra structure on `Π i, A i`,
-- when each `A i` is an `R i`-algebra, although I'm not sure that it's useful.
variables {I} (R) (f)
/-- `function.eval` as an `alg_hom`. The name matches `pi.eval_ring_hom`, `pi.eval_monoid_hom`,
etc. -/
@[simps]
def eval_alg_hom {r : comm_semiring R} [Π i, semiring (f i)] [Π i, algebra R (f i)] (i : I) :
(Π i, f i) →ₐ[R] f i :=
{ to_fun := λ f, f i, commutes' := λ r, rfl, .. pi.eval_ring_hom f i}
variables (A B : Type*) [comm_semiring R] [semiring B] [algebra R B]
/-- `function.const` as an `alg_hom`. The name matches `pi.const_ring_hom`, `pi.const_monoid_hom`,
etc. -/
@[simps]
def const_alg_hom : B →ₐ[R] (A → B) :=
{ to_fun := function.const _,
commutes' := λ r, rfl,
.. pi.const_ring_hom A B}
/-- When `R` is commutative and permits an `algebra_map`, `pi.const_ring_hom` is equal to that
map. -/
@[simp] lemma const_ring_hom_eq_algebra_map : const_ring_hom A R = algebra_map R (A → R) :=
rfl
@[simp] lemma const_alg_hom_eq_algebra_of_id : const_alg_hom R A R = algebra.of_id R (A → R) :=
rfl
end pi
section is_scalar_tower
variables {R : Type*} [comm_semiring R]
variables (A : Type*) [semiring A] [algebra R A]
variables {M : Type*} [add_comm_monoid M] [module A M] [module R M] [is_scalar_tower R A M]
variables {N : Type*} [add_comm_monoid N] [module A N] [module R N] [is_scalar_tower R A N]
lemma algebra_compatible_smul (r : R) (m : M) : r • m = ((algebra_map R A) r) • m :=
by rw [←(one_smul A m), ←smul_assoc, algebra.smul_def, mul_one, one_smul]
@[simp] lemma algebra_map_smul (r : R) (m : M) : ((algebra_map R A) r) • m = r • m :=
(algebra_compatible_smul A r m).symm
variable {A}
@[priority 100] -- see Note [lower instance priority]
instance is_scalar_tower.to_smul_comm_class : smul_comm_class R A M :=
⟨λ r a m, by rw [algebra_compatible_smul A r (a • m), smul_smul, algebra.commutes, mul_smul,
←algebra_compatible_smul]⟩
@[priority 100] -- see Note [lower instance priority]
instance is_scalar_tower.to_smul_comm_class' : smul_comm_class A R M :=
smul_comm_class.symm _ _ _
lemma smul_algebra_smul_comm (r : R) (a : A) (m : M) : a • r • m = r • a • m :=
smul_comm _ _ _
namespace linear_map
instance coe_is_scalar_tower : has_coe (M →ₗ[A] N) (M →ₗ[R] N) :=
⟨restrict_scalars R⟩
variables (R) {A M N}
@[simp, norm_cast squash] lemma coe_restrict_scalars_eq_coe (f : M →ₗ[A] N) :
(f.restrict_scalars R : M → N) = f := rfl
@[simp, norm_cast squash] lemma coe_coe_is_scalar_tower (f : M →ₗ[A] N) :
((f : M →ₗ[R] N) : M → N) = f := rfl
/-- `A`-linearly coerce a `R`-linear map from `M` to `A` to a function, given an algebra `A` over
a commutative semiring `R` and `M` a module over `R`. -/
def lto_fun (R : Type u) (M : Type v) (A : Type w)
[comm_semiring R] [add_comm_monoid M] [module R M] [comm_ring A] [algebra R A] :
(M →ₗ[R] A) →ₗ[A] (M → A) :=
{ to_fun := linear_map.to_fun,
map_add' := λ f g, rfl,
map_smul' := λ c f, rfl }
end linear_map
end is_scalar_tower
/-! TODO: The following lemmas no longer involve `algebra` at all, and could be moved closer
to `algebra/module/submodule.lean`. Currently this is tricky because `ker`, `range`, `⊤`, and `⊥`
are all defined in `linear_algebra/basic.lean`. -/
section module
open module
variables (R S M N : Type*) [semiring R] [semiring S] [has_scalar R S]
variables [add_comm_monoid M] [module R M] [module S M] [is_scalar_tower R S M]
variables [add_comm_monoid N] [module R N] [module S N] [is_scalar_tower R S N]
variables {S M N}
namespace submodule
variables (R S M)
/-- If `S` is an `R`-algebra, then the `R`-module generated by a set `X` is included in the
`S`-module generated by `X`. -/
lemma span_le_restrict_scalars (X : set M) : span R (X : set M) ≤ restrict_scalars R (span S X) :=
submodule.span_le.mpr submodule.subset_span
end submodule
@[simp]
lemma linear_map.ker_restrict_scalars (f : M →ₗ[S] N) :
(f.restrict_scalars R).ker = f.ker.restrict_scalars R :=
rfl
end module
namespace submodule
variables (R A M : Type*)
variables [comm_semiring R] [semiring A] [algebra R A] [add_comm_monoid M]
variables [module R M] [module A M] [is_scalar_tower R A M]
/-- If `A` is an `R`-algebra such that the induced morhpsim `R →+* A` is surjective, then the
`R`-module generated by a set `X` equals the `A`-module generated by `X`. -/
lemma span_eq_restrict_scalars (X : set M) (hsur : function.surjective (algebra_map R A)) :
span R X = restrict_scalars R (span A X) :=
begin
apply (span_le_restrict_scalars R A M X).antisymm (λ m hm, _),
refine span_induction hm subset_span (zero_mem _) (λ _ _, add_mem _) (λ a m hm, _),
obtain ⟨r, rfl⟩ := hsur a,
simpa [algebra_map_smul] using smul_mem _ r hm
end
end submodule
namespace alg_hom
variables {R : Type u} {A : Type v} {B : Type w} {I : Type*}
variables [comm_semiring R] [semiring A] [semiring B]
variables [algebra R A] [algebra R B]
/-- `R`-algebra homomorphism between the function spaces `I → A` and `I → B`, induced by an
`R`-algebra homomorphism `f` between `A` and `B`. -/
@[simps] protected def comp_left (f : A →ₐ[R] B) (I : Type*) : (I → A) →ₐ[R] (I → B) :=
{ to_fun := λ h, f ∘ h,
commutes' := λ c, by { ext, exact f.commutes' c },
.. f.to_ring_hom.comp_left I }
end alg_hom
|
a916c9a127c17ce7631f13b630d3a346c6f4c780 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/algebra/hom/group_action.lean | 55bc58e2807212b7b1833425511bbeb4f754362a | [
"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 | 11,321 | lean | /-
Copyright (c) 2020 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import algebra.group_ring_action
import group_theory.group_action.defs
/-!
# Equivariant homomorphisms
## Main definitions
* `mul_action_hom M X Y`, the type of equivariant functions from `X` to `Y`, where `M` is a monoid
that acts on the types `X` and `Y`.
* `distrib_mul_action_hom M A B`, the type of equivariant additive monoid homomorphisms
from `A` to `B`, where `M` is a monoid that acts on the additive monoids `A` and `B`.
* `mul_semiring_action_hom M R S`, the type of equivariant ring homomorphisms
from `R` to `S`, where `M` is a monoid that acts on the rings `R` and `S`.
## Notations
* `X →[M] Y` is `mul_action_hom M X Y`.
* `A →+[M] B` is `distrib_mul_action_hom M X Y`.
* `R →+*[M] S` is `mul_semiring_action_hom M X Y`.
-/
variables (M' : Type*)
variables (X : Type*) [has_scalar M' X]
variables (Y : Type*) [has_scalar M' Y]
variables (Z : Type*) [has_scalar M' Z]
variables (M : Type*) [monoid M]
variables (A : Type*) [add_monoid A] [distrib_mul_action M A]
variables (A' : Type*) [add_group A'] [distrib_mul_action M A']
variables (B : Type*) [add_monoid B] [distrib_mul_action M B]
variables (B' : Type*) [add_group B'] [distrib_mul_action M B']
variables (C : Type*) [add_monoid C] [distrib_mul_action M C]
variables (R : Type*) [semiring R] [mul_semiring_action M R]
variables (R' : Type*) [ring R'] [mul_semiring_action M R']
variables (S : Type*) [semiring S] [mul_semiring_action M S]
variables (S' : Type*) [ring S'] [mul_semiring_action M S']
variables (T : Type*) [semiring T] [mul_semiring_action M T]
variables (G : Type*) [group G] (H : subgroup G)
set_option old_structure_cmd true
/-- Equivariant functions. -/
@[nolint has_inhabited_instance]
structure mul_action_hom :=
(to_fun : X → Y)
(map_smul' : ∀ (m : M') (x : X), to_fun (m • x) = m • to_fun x)
notation X ` →[`:25 M:25 `] `:0 Y:0 := mul_action_hom M X Y
namespace mul_action_hom
instance : has_coe_to_fun (X →[M'] Y) (λ _, X → Y) := ⟨mul_action_hom.to_fun⟩
variables {M M' X Y}
@[simp] lemma map_smul (f : X →[M'] Y) (m : M') (x : X) : f (m • x) = m • f x :=
f.map_smul' m x
@[ext] theorem ext : ∀ {f g : X →[M'] Y}, (∀ x, f x = g x) → f = g
| ⟨f, _⟩ ⟨g, _⟩ H := by { congr' 1 with x, exact H x }
theorem ext_iff {f g : X →[M'] Y} : f = g ↔ ∀ x, f x = g x :=
⟨λ H x, by rw H, ext⟩
protected lemma congr_fun {f g : X →[M'] Y} (h : f = g) (x : X) : f x = g x := h ▸ rfl
variables (M M') {X}
/-- The identity map as an equivariant map. -/
protected def id : X →[M'] X :=
⟨id, λ _ _, rfl⟩
@[simp] lemma id_apply (x : X) : mul_action_hom.id M' x = x := rfl
variables {M M' X Y Z}
/-- Composition of two equivariant maps. -/
def comp (g : Y →[M'] Z) (f : X →[M'] Y) : X →[M'] Z :=
⟨g ∘ f, λ m x, calc
g (f (m • x)) = g (m • f x) : by rw f.map_smul
... = m • g (f x) : g.map_smul _ _⟩
@[simp] lemma comp_apply (g : Y →[M'] Z) (f : X →[M'] Y) (x : X) : g.comp f x = g (f x) := rfl
@[simp] lemma id_comp (f : X →[M'] Y) : (mul_action_hom.id M').comp f = f :=
ext $ λ x, by rw [comp_apply, id_apply]
@[simp] lemma comp_id (f : X →[M'] Y) : f.comp (mul_action_hom.id M') = f :=
ext $ λ x, by rw [comp_apply, id_apply]
variables {A B}
/-- The inverse of a bijective equivariant map is equivariant. -/
@[simps] def inverse (f : A →[M] B) (g : B → A)
(h₁ : function.left_inverse g f) (h₂ : function.right_inverse g f) :
B →[M] A :=
{ to_fun := g,
map_smul' := λ m x,
calc g (m • x) = g (m • (f (g x))) : by rw h₂
... = g (f (m • (g x))) : by rw f.map_smul
... = m • g x : by rw h₁, }
end mul_action_hom
/-- Equivariant additive monoid homomorphisms. -/
structure distrib_mul_action_hom extends A →[M] B, A →+ B.
/-- Reinterpret an equivariant additive monoid homomorphism as an additive monoid homomorphism. -/
add_decl_doc distrib_mul_action_hom.to_add_monoid_hom
/-- Reinterpret an equivariant additive monoid homomorphism as an equivariant function. -/
add_decl_doc distrib_mul_action_hom.to_mul_action_hom
notation A ` →+[`:25 M:25 `] `:0 B:0 := distrib_mul_action_hom M A B
namespace distrib_mul_action_hom
instance has_coe : has_coe (A →+[M] B) (A →+ B) :=
⟨to_add_monoid_hom⟩
instance has_coe' : has_coe (A →+[M] B) (A →[M] B) :=
⟨to_mul_action_hom⟩
instance : has_coe_to_fun (A →+[M] B) (λ _, A → B) := ⟨to_fun⟩
variables {M A B}
@[simp] lemma to_fun_eq_coe (f : A →+[M] B) : f.to_fun = ⇑f := rfl
@[norm_cast] lemma coe_fn_coe (f : A →+[M] B) : ((f : A →+ B) : A → B) = f := rfl
@[norm_cast] lemma coe_fn_coe' (f : A →+[M] B) : ((f : A →[M] B) : A → B) = f := rfl
@[ext] theorem ext : ∀ {f g : A →+[M] B}, (∀ x, f x = g x) → f = g
| ⟨f, _, _, _⟩ ⟨g, _, _, _⟩ H := by { congr' 1 with x, exact H x }
theorem ext_iff {f g : A →+[M] B} : f = g ↔ ∀ x, f x = g x :=
⟨λ H x, by rw H, ext⟩
protected lemma congr_fun {f g : A →+[M] B} (h : f = g) (x : A) : f x = g x := h ▸ rfl
lemma to_mul_action_hom_injective {f g : A →+[M] B}
(h : (f : A →[M] B) = (g : A →[M] B)) : f = g :=
by { ext a, exact mul_action_hom.congr_fun h a, }
lemma to_add_monoid_hom_injective {f g : A →+[M] B}
(h : (f : A →+ B) = (g : A →+ B)) : f = g :=
by { ext a, exact add_monoid_hom.congr_fun h a, }
@[simp] lemma map_zero (f : A →+[M] B) : f 0 = 0 :=
f.map_zero'
@[simp] lemma map_add (f : A →+[M] B) (x y : A) : f (x + y) = f x + f y :=
f.map_add' x y
@[simp] lemma map_neg (f : A' →+[M] B') (x : A') : f (-x) = -f x :=
(f : A' →+ B').map_neg x
@[simp] lemma map_sub (f : A' →+[M] B') (x y : A') : f (x - y) = f x - f y :=
(f : A' →+ B').map_sub x y
@[simp] lemma map_smul (f : A →+[M] B) (m : M) (x : A) : f (m • x) = m • f x :=
f.map_smul' m x
variables (M) {A}
/-- The identity map as an equivariant additive monoid homomorphism. -/
protected def id : A →+[M] A :=
⟨id, λ _ _, rfl, rfl, λ _ _, rfl⟩
@[simp] lemma id_apply (x : A) : distrib_mul_action_hom.id M x = x := rfl
variables {M A B C}
instance : has_zero (A →+[M] B) :=
⟨{ map_smul' := by simp,
.. (0 : A →+ B) }⟩
instance : has_one (A →+[M] A) := ⟨distrib_mul_action_hom.id M⟩
@[simp] lemma coe_zero : ((0 : A →+[M] B) : A → B) = 0 := rfl
@[simp] lemma coe_one : ((1 : A →+[M] A) : A → A) = id := rfl
lemma zero_apply (a : A) : (0 : A →+[M] B) a = 0 := rfl
lemma one_apply (a : A) : (1 : A →+[M] A) a = a := rfl
instance : inhabited (A →+[M] B) := ⟨0⟩
/-- Composition of two equivariant additive monoid homomorphisms. -/
def comp (g : B →+[M] C) (f : A →+[M] B) : A →+[M] C :=
{ .. mul_action_hom.comp (g : B →[M] C) (f : A →[M] B),
.. add_monoid_hom.comp (g : B →+ C) (f : A →+ B), }
@[simp] lemma comp_apply (g : B →+[M] C) (f : A →+[M] B) (x : A) : g.comp f x = g (f x) := rfl
@[simp] lemma id_comp (f : A →+[M] B) : (distrib_mul_action_hom.id M).comp f = f :=
ext $ λ x, by rw [comp_apply, id_apply]
@[simp] lemma comp_id (f : A →+[M] B) : f.comp (distrib_mul_action_hom.id M) = f :=
ext $ λ x, by rw [comp_apply, id_apply]
/-- The inverse of a bijective `distrib_mul_action_hom` is a `distrib_mul_action_hom`. -/
@[simps] def inverse (f : A →+[M] B) (g : B → A)
(h₁ : function.left_inverse g f) (h₂ : function.right_inverse g f) :
B →+[M] A :=
{ to_fun := g,
.. (f : A →+ B).inverse g h₁ h₂,
.. (f : A →[M] B).inverse g h₁ h₂ }
section semiring
variables {R M'} [add_monoid M'] [distrib_mul_action R M']
@[ext] lemma ext_ring
{f g : R →+[R] M'} (h : f 1 = g 1) : f = g :=
by { ext x, rw [← mul_one x, ← smul_eq_mul R, f.map_smul, g.map_smul, h], }
lemma ext_ring_iff {f g : R →+[R] M'} : f = g ↔ f 1 = g 1 :=
⟨λ h, h ▸ rfl, ext_ring⟩
end semiring
end distrib_mul_action_hom
/-- Equivariant ring homomorphisms. -/
@[nolint has_inhabited_instance]
structure mul_semiring_action_hom extends R →+[M] S, R →+* S.
/-- Reinterpret an equivariant ring homomorphism as a ring homomorphism. -/
add_decl_doc mul_semiring_action_hom.to_ring_hom
/-- Reinterpret an equivariant ring homomorphism as an equivariant additive monoid homomorphism. -/
add_decl_doc mul_semiring_action_hom.to_distrib_mul_action_hom
notation R ` →+*[`:25 M:25 `] `:0 S:0 := mul_semiring_action_hom M R S
namespace mul_semiring_action_hom
instance has_coe : has_coe (R →+*[M] S) (R →+* S) :=
⟨to_ring_hom⟩
instance has_coe' : has_coe (R →+*[M] S) (R →+[M] S) :=
⟨to_distrib_mul_action_hom⟩
instance : has_coe_to_fun (R →+*[M] S) (λ _, R → S) := ⟨λ c, c.to_fun⟩
variables {M R S}
@[norm_cast] lemma coe_fn_coe (f : R →+*[M] S) : ((f : R →+* S) : R → S) = f := rfl
@[norm_cast] lemma coe_fn_coe' (f : R →+*[M] S) : ((f : R →+[M] S) : R → S) = f := rfl
@[ext] theorem ext : ∀ {f g : R →+*[M] S}, (∀ x, f x = g x) → f = g
| ⟨f, _, _, _, _, _⟩ ⟨g, _, _, _, _, _⟩ H := by { congr' 1 with x, exact H x }
theorem ext_iff {f g : R →+*[M] S} : f = g ↔ ∀ x, f x = g x :=
⟨λ H x, by rw H, ext⟩
@[simp] lemma map_zero (f : R →+*[M] S) : f 0 = 0 :=
f.map_zero'
@[simp] lemma map_add (f : R →+*[M] S) (x y : R) : f (x + y) = f x + f y :=
f.map_add' x y
@[simp] lemma map_neg (f : R' →+*[M] S') (x : R') : f (-x) = -f x :=
(f : R' →+* S').map_neg x
@[simp] lemma map_sub (f : R' →+*[M] S') (x y : R') : f (x - y) = f x - f y :=
(f : R' →+* S').map_sub x y
@[simp] lemma map_one (f : R →+*[M] S) : f 1 = 1 :=
f.map_one'
@[simp] lemma map_mul (f : R →+*[M] S) (x y : R) : f (x * y) = f x * f y :=
f.map_mul' x y
@[simp] lemma map_smul (f : R →+*[M] S) (m : M) (x : R) : f (m • x) = m • f x :=
f.map_smul' m x
variables (M) {R}
/-- The identity map as an equivariant ring homomorphism. -/
protected def id : R →+*[M] R :=
⟨id, λ _ _, rfl, rfl, λ _ _, rfl, rfl, λ _ _, rfl⟩
@[simp] lemma id_apply (x : R) : mul_semiring_action_hom.id M x = x := rfl
variables {M R S T}
/-- Composition of two equivariant additive monoid homomorphisms. -/
def comp (g : S →+*[M] T) (f : R →+*[M] S) : R →+*[M] T :=
{ .. distrib_mul_action_hom.comp (g : S →+[M] T) (f : R →+[M] S),
.. ring_hom.comp (g : S →+* T) (f : R →+* S), }
@[simp] lemma comp_apply (g : S →+*[M] T) (f : R →+*[M] S) (x : R) : g.comp f x = g (f x) := rfl
@[simp] lemma id_comp (f : R →+*[M] S) : (mul_semiring_action_hom.id M).comp f = f :=
ext $ λ x, by rw [comp_apply, id_apply]
@[simp] lemma comp_id (f : R →+*[M] S) : f.comp (mul_semiring_action_hom.id M) = f :=
ext $ λ x, by rw [comp_apply, id_apply]
end mul_semiring_action_hom
section
variables (M) {R'} (U : subring R') [is_invariant_subring M U]
/-- The canonical inclusion from an invariant subring. -/
def is_invariant_subring.subtype_hom : U →+*[M] R' :=
{ map_smul' := λ m s, rfl, ..U.subtype }
@[simp] theorem is_invariant_subring.coe_subtype_hom :
(is_invariant_subring.subtype_hom M U : U → R') = coe := rfl
@[simp] theorem is_invariant_subring.coe_subtype_hom' :
(is_invariant_subring.subtype_hom M U : U →+* R') = U.subtype := rfl
end
|
088881748b6bf8e6008b1c05a5c9f9f2639628a3 | c777c32c8e484e195053731103c5e52af26a25d1 | /src/data/real/pi/wallis.lean | 2f114d5606c4e6aea24e61cd5184610ddb00757d | [
"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 | 4,727 | lean | /-
Copyright (c) 2021 Hanting Zhang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Hanting Zhang
-/
import analysis.special_functions.integrals
/-! # The Wallis formula for Pi
This file establishes the Wallis product for `π` (`real.tendsto_prod_pi_div_two`). Our proof is
largely about analyzing the behaviour of the sequence `∫ x in 0..π, sin x ^ n` as `n → ∞`.
See: https://en.wikipedia.org/wiki/Wallis_product
The proof can be broken down into two pieces. The first step (carried out in
`analysis.special_functions.integrals`) is to use repeated integration by parts to obtain an
explicit formula for this integral, which is rational if `n` is odd and a rational multiple of `π`
if `n` is even.
The second step, carried out here, is to estimate the ratio
`∫ (x : ℝ) in 0..π, sin x ^ (2 * k + 1) / ∫ (x : ℝ) in 0..π, sin x ^ (2 * k)` and prove that
it converges to one using the squeeze theorem. The final product for `π` is obtained after some
algebraic manipulation.
## Main statements
* `real.wallis.W`: the product of the first `k` terms in Wallis' formula for `π`.
* `real.wallis.W_eq_integral_sin_pow_div_integral_sin_pow`: express `W n` as a ratio of integrals.
* `real.wallis.W_le` and `real.wallis.le_W`: upper and lower bounds for `W n`.
* `real.tendsto_prod_pi_div_two`: the Wallis product formula.
-/
open_locale real topology big_operators nat
open filter finset interval_integral
namespace real
namespace wallis
/-- The product of the first `k` terms in Wallis' formula for `π`. -/
noncomputable def W (k : ℕ) : ℝ :=
∏ i in range k, (2 * i + 2) / (2 * i + 1) * ((2 * i + 2) / (2 * i + 3))
lemma W_succ (k : ℕ) :
W (k + 1) = W k * ((2 * k + 2) / (2 * k + 1) * ((2 * k + 2) / (2 * k + 3))) :=
prod_range_succ _ _
lemma W_pos (k : ℕ) : 0 < W k :=
begin
induction k with k hk,
{ unfold W, simp },
{ rw W_succ,
refine mul_pos hk (mul_pos (div_pos _ _) (div_pos _ _));
positivity }
end
lemma W_eq_factorial_ratio (n : ℕ) :
W n = (2 ^ (4 * n) * n! ^ 4) / ((2 * n)!^ 2 * (2 * n + 1)) :=
begin
induction n with n IH,
{ simp only [W, prod_range_zero, nat.factorial_zero, mul_zero, pow_zero, algebra_map.coe_one,
one_pow, mul_one, algebra_map.coe_zero, zero_add, div_self, ne.def, one_ne_zero,
not_false_iff] },
{ unfold W at ⊢ IH,
rw [prod_range_succ, IH, _root_.div_mul_div_comm, _root_.div_mul_div_comm],
refine (div_eq_div_iff _ _).mpr _,
any_goals { exact ne_of_gt (by positivity) },
simp_rw [nat.mul_succ, nat.factorial_succ, pow_succ],
push_cast,
ring_nf }
end
lemma W_eq_integral_sin_pow_div_integral_sin_pow (k : ℕ) :
(π/2)⁻¹ * W k = (∫ (x : ℝ) in 0..π, sin x ^ (2 * k + 1)) / ∫ (x : ℝ) in 0..π, sin x ^ (2 * k) :=
begin
rw [integral_sin_pow_even, integral_sin_pow_odd, mul_div_mul_comm, ←prod_div_distrib, inv_div],
simp_rw [div_div_div_comm, div_div_eq_mul_div, mul_div_assoc],
refl,
end
lemma W_le (k : ℕ) : W k ≤ π / 2 :=
begin
rw [←div_le_one pi_div_two_pos, div_eq_inv_mul],
rw [W_eq_integral_sin_pow_div_integral_sin_pow, div_le_one (integral_sin_pow_pos _)],
apply integral_sin_pow_succ_le,
end
lemma le_W (k : ℕ) : ((2:ℝ) * k + 1) / (2 * k + 2) * (π / 2) ≤ W k :=
begin
rw [←le_div_iff pi_div_two_pos, div_eq_inv_mul (W k) _],
rw [W_eq_integral_sin_pow_div_integral_sin_pow, le_div_iff (integral_sin_pow_pos _)],
convert integral_sin_pow_succ_le (2 * k + 1),
rw integral_sin_pow (2 * k),
simp only [sin_zero, zero_pow', ne.def, nat.succ_ne_zero, not_false_iff, zero_mul, sin_pi,
tsub_zero, nat.cast_mul, nat.cast_bit0, algebra_map.coe_one, zero_div, zero_add],
end
lemma tendsto_W_nhds_pi_div_two : tendsto W at_top (𝓝 $ π / 2) :=
begin
refine tendsto_of_tendsto_of_tendsto_of_le_of_le _ tendsto_const_nhds le_W W_le,
have : 𝓝 (π / 2) = 𝓝 ((1 - 0) * (π / 2)), by rw [sub_zero, one_mul], rw this,
refine tendsto.mul _ tendsto_const_nhds,
have h : ∀ (n:ℕ), ((2:ℝ) * n + 1) / (2 * n + 2) = 1 - 1 / (2 * n + 2),
{ intro n,
rw [sub_div' _ _ _ (ne_of_gt (add_pos_of_nonneg_of_pos
(mul_nonneg ((two_pos : 0 < (2:ℝ)).le) (nat.cast_nonneg _)) two_pos)), one_mul],
congr' 1, ring },
simp_rw h,
refine (tendsto_const_nhds.div_at_top _).const_sub _,
refine tendsto.at_top_add _ tendsto_const_nhds,
exact tendsto_coe_nat_at_top_at_top.const_mul_at_top two_pos
end
end wallis
end real
/-- Wallis' product formula for `π / 2`. -/
theorem real.tendsto_prod_pi_div_two :
tendsto
(λ k, ∏ i in range k, (((2:ℝ) * i + 2) / (2 * i + 1)) * ((2 * i + 2) / (2 * i + 3)))
at_top (𝓝 (π/2)) :=
real.wallis.tendsto_W_nhds_pi_div_two
|
752f6d751180da6c2ebbc51a62c0379c34ee4f80 | 2cf781335f4a6706b7452ab07ce323201e2e101f | /lean/deps/galois_stdlib/src/galois/data/bitvec/basic.lean | 29ab4c341368950ce0bd1bbd107235da5e92145b | [
"Apache-2.0"
] | permissive | simonjwinwood/reopt-vcg | 697cdd5e68366b5aa3298845eebc34fc97ccfbe2 | 6aca24e759bff4f2230bb58270bac6746c13665e | refs/heads/master | 1,586,353,878,347 | 1,549,667,148,000 | 1,549,667,148,000 | 159,409,828 | 0 | 0 | null | 1,543,358,444,000 | 1,543,358,444,000 | null | UTF-8 | Lean | false | false | 11,910 | 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, Jason Dagit
Basic operations on bitvectors.
This is a work-in-progress, and contains additions to other theories.
-/
import galois.data.nat.basic
import data.vector
-- A `bitvec n` is a subtype of natural numbers such that the value of
-- the bitvec is strictly less than 2^n.
structure bitvec (sz:ℕ) :=
(to_nat : ℕ)
(property : to_nat < (2 ^ sz))
namespace bitvec
instance (w:ℕ) : decidable_eq (bitvec w) := by tactic.mk_dec_eq_instance
-- By default just show a bitvector as a nat.
instance (w:ℕ) : has_repr (bitvec w) := ⟨λv, repr (v.to_nat)⟩
section zero
-- Create a zero bitvector
protected
def zero (n : ℕ) : bitvec n :=
⟨0, nat.pos_pow_of_pos n dec_trivial⟩
-- bitvectors have a zero, at every length
instance {n:ℕ} : has_zero (bitvec n) := ⟨bitvec.zero n⟩
@[simp]
lemma bitvec_zero_zero (x : bitvec 0) : x.to_nat = 0 :=
begin
cases x with x_val x_prop,
{ simp [nat.pow_zero, nat.lt_one_is_zero] at x_prop,
simp, assumption
}
end
end zero
section one
lemma one_le_pow_2 {n: ℕ} (h : n > 0) : 1 < 2^n :=
calc 1 < 2^1 : by exact (of_as_true trivial)
... ≤ 2^n : nat.pow_le_pow_of_le_right (of_as_true trivial) h
-- In pratice, it's more useful to allow 0 length bitvectors to have 1
-- as well. This leads to a special case where the 0-length bitvector
-- 1 is really just 0. This turns out to simplify things.
protected
def one : Π(n:ℕ), bitvec n
| 0 := 0
| (nat.succ _) := ⟨1, one_le_pow_2 (nat.zero_lt_succ _)⟩
instance {n:ℕ} : has_one (bitvec n) := ⟨bitvec.one n⟩
end one
protected def cong {a b : ℕ} (h : a = b) : bitvec a → bitvec b
| ⟨x, p⟩ := ⟨x, h ▸ p⟩
lemma cong_val {n m : ℕ} {H : n = m} (x : bitvec n)
: (bitvec.cong H x).to_nat = x.to_nat :=
begin
cases x, simp [bitvec.cong]
end
protected
lemma intro {n:ℕ} : Π(x y : bitvec n), x.to_nat = y.to_nat → x = y
| ⟨x, h1⟩ ⟨.(_), h2⟩ rfl := rfl
protected def of_nat (n : ℕ) (x:ℕ) : bitvec n :=
⟨ x % 2^n, nat.mod_lt _ (nat.pos_pow_of_pos n (of_as_true trivial))⟩
theorem of_nat_to_nat {n : ℕ} (x : bitvec n)
: bitvec.of_nat n (bitvec.to_nat x) = x :=
begin
cases x,
simp [bitvec.to_nat, bitvec.of_nat],
apply nat.mod_eq_of_lt x_property,
end
theorem to_nat_of_nat (k n : ℕ)
: bitvec.to_nat (bitvec.of_nat k n) = n % 2^k :=
begin
simp [bitvec.of_nat, bitvec.to_nat]
end
--- Most significant bit
def msb {n:ℕ} (x: bitvec n) : bool := (nat.shiftr x.to_nat (n-1)) = 1
--- Least significant bit.
def lsb {n:ℕ} (x: bitvec n) : bool := nat.bodd x.to_nat
section conversion
-- Operations for converting to/from bitvectors
protected def to_int {n:ℕ} (x: bitvec n) : int :=
match msb x with
| ff := int.of_nat x.to_nat
| tt := int.neg_of_nat (2^n - x.to_nat)
end
--- Convert an int to two's complement bitvector.
protected def of_int : Π(n : ℕ), ℤ → bitvec n
| n (int.of_nat x) := bitvec.of_nat n x
| n -[1+ x] := bitvec.of_nat n (nat.ldiff (2^n-1) x)
end conversion
section bitwise
-- bitwise negation
def not {w:ℕ} (x: bitvec w) : bitvec w := ⟨2^w - x.to_nat - 1,
begin
have xval_pos : 0 < x.to_nat + 1,
{ apply (nat.succ_pos x.to_nat) },
apply (nat.sub_lt _ xval_pos),
apply nat.pos_pow_of_pos,
apply (nat.succ_pos 1)
end⟩
-- logical bitwise and
def and {w:ℕ} (x y : bitvec w) : bitvec w := bitvec.of_nat w (nat.land x.to_nat y.to_nat)
-- diff x y = x & not y
def diff {w:ℕ} (x y : bitvec w) : bitvec w := bitvec.of_nat w (nat.ldiff x.to_nat y.to_nat)
-- logical bitwise or
def or {w:ℕ} (x y : bitvec w) : bitvec w := bitvec.of_nat w (nat.lor x.to_nat y.to_nat)
-- logical bitwise xor
def xor {w:ℕ} (x y : bitvec w) : bitvec w := bitvec.of_nat w (nat.lxor x.to_nat y.to_nat)
infix `.&&.`:70 := and
infix `.||.`:65 := or
end bitwise
section arith
-- Arithmetic operations on bitvectors
variable {n : ℕ}
protected def add (x y : bitvec n) : bitvec n := bitvec.of_nat n (x.to_nat + y.to_nat)
def adc (x y : bitvec n) : bitvec n × bool := ⟨ bitvec.add x y , x.to_nat + y.to_nat ≥ 2^n ⟩
-- Usual arithmetic subtraction
protected def sub (x y : bitvec n) : bitvec n := bitvec.of_int n (x.to_int - y.to_int)
-- 2s complement negation
protected def neg {n:ℕ} (x : bitvec n) : bitvec n :=
⟨if x.to_nat = 0 then 0 else 2^n - x.to_nat,
begin
by_cases (x.to_nat = 0),
{ simp [h], exact nat.pos_pow_of_pos _ (of_as_true trivial), },
{ simp [h],
--x.to_nat (2^n) x_to_nat_pos,
have pos : 0 < 2^n - x.to_nat, { apply nat.sub_pos_of_lt x.property },
have x_to_nat_pos: 0 < x.to_nat, { apply nat.pos_of_ne_zero h },
apply nat.sub_lt_of_pos_le x.to_nat (2^n) x_to_nat_pos,
apply le_of_lt x.property,
}
end⟩
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 := bitvec.of_nat n (x.to_nat * y.to_nat)
instance : has_mul (bitvec n) := ⟨bitvec.mul⟩
def bitvec_pow (x: bitvec n) (k:ℕ) : bitvec n := bitvec.of_nat n (x.to_nat^k)
instance bitvec_has_pow : has_pow (bitvec n) ℕ := ⟨bitvec_pow⟩
end arith
section shift
-- Shift related operations, including signed and unsigned shift.
variable {n : ℕ}
-- shift left
def shl (x : bitvec n) (i : ℕ) : bitvec n := bitvec.of_nat n (nat.shiftl x.to_nat i)
-- unsigned shift right
def ushr (x : bitvec n) (i : ℕ) : bitvec n := bitvec.of_nat n (nat.shiftr x.to_nat i)
-- signed shift right
def sshr (x: bitvec n) (i:ℕ) : bitvec n := bitvec.of_int n (int.shiftr (bitvec.to_int x) i)
end shift
section listlike
-- Operations that treat bitvectors as a list of bits.
--- Test if a specific bit with given index is set.
def nth {w:ℕ} (x : bitvec w) (idx : ℕ) : bool := nat.test_bit x.to_nat idx
-- Change number of bits result while preserving unsigned value modulo output width.
def uresize {m:ℕ} (x: bitvec m) (n:ℕ) : bitvec n := bitvec.of_nat _ x.to_nat
-- Change number of bits result while preserving signed value modulo output width.
def sresize {m:ℕ} (x: bitvec m) (n:ℕ) : bitvec n := bitvec.of_int _ x.to_int
open nat
-- bitvec specific version of vector.append
def append {m n} (x: bitvec m) (y: bitvec n) : bitvec (m + n)
:= ⟨ x.to_nat * 2^n + y.to_nat, nat.mul_pow_add_lt_pow x.property y.property ⟩
protected
def bsf' : Π(n:ℕ), ℕ → ℕ → option ℕ
| 0 idx _ := none
| (succ m) idx x :=
if nat.test_bit x idx then
some idx
else
bsf' m (idx+1) x
--- index of least-significant bit that is 1.
def bsf : Π{n:ℕ}, bitvec n → option ℕ
| n x := bitvec.bsf' n 0 x.to_nat
protected
def bsr' : ℕ → ℕ → option ℕ
| x zero := none
| x (succ idx) :=
if nat.test_bit x idx then
some idx
else
bsr' x idx
--- index of the most-significant bit that is 1.
def bsr : Π{n:ℕ}, bitvec n → option ℕ
| n x := bitvec.bsr' x.to_nat n
example : bsf (bitvec.of_nat 3 0) = none := of_as_true trivial
example : bsr (bitvec.of_nat 3 0) = none := of_as_true trivial
example : bsf (bitvec.of_nat 3 5) = some 0 := of_as_true trivial
example : bsr (bitvec.of_nat 3 5) = some 2 := of_as_true trivial
def slice {w: ℕ} (u l k:ℕ) (H: w = k + (u + 1 - l)) (x: bitvec w) : bitvec (u + 1 - l) :=
bitvec.of_nat _ (nat.shiftr x.to_nat l)
end listlike
section comparison
-- Comparison operations, including signed and unsigned versions
variable {n : ℕ}
def ult (x y : bitvec n) : Prop := x.to_nat < y.to_nat
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 slt (x y : bitvec n) : Prop := x.to_int < y.to_int
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
local attribute [reducible] ult
local attribute [reducible] ugt
local attribute [reducible] ule
local attribute [reducible] uge
instance decidable_ult {n} {x y : bitvec n} : decidable (bitvec.ult x y) := by apply_instance
instance decidable_ugt {n} {x y : bitvec n} : decidable (bitvec.ugt x y) := by apply_instance
instance decidable_ule {n} {x y : bitvec n} : decidable (bitvec.ule x y) := by apply_instance
instance decidable_uge {n} {x y : bitvec n} : decidable (bitvec.uge x y) := by apply_instance
local attribute [reducible] slt
local attribute [reducible] sgt
local attribute [reducible] sle
local attribute [reducible] sge
instance decidable_slt {n} {x y : bitvec n} : decidable (bitvec.slt x y) := by apply_instance
instance decidable_sgt {n} {x y : bitvec n} : decidable (bitvec.sgt x y) := by apply_instance
instance decidable_sle {n} {x y : bitvec n} : decidable (bitvec.sle x y) := by apply_instance
instance decidable_sge {n} {x y : bitvec n} : decidable (bitvec.sge x y) := by apply_instance
end comparison
def concat' {n:ℕ} (input: list (bitvec n)): ℕ :=
list.foldl (λv (a:bitvec n), nat.shiftl v n + a.to_nat) 0 input
--- Concatenation all bitvectors in the list together and return a new bitvector.
--
-- The most significant bits of are returned first.
def concat_list {m:ℕ}(input: list (bitvec m)) (n:ℕ) : bitvec n :=
bitvec.of_nat _ (concat' input)
--- Concatenation all bitvectors in the vector together and return a new bitvector.
--
-- The most significant bits of are returned first.
--
-- To minimize the need for proofs, we intentionally do not force that the output
-- has a specific length.
def concat_vec {w m : ℕ}(input: vector (bitvec w) m) (n:ℕ) : bitvec n :=
bitvec.of_nat _ (concat' input.to_list)
example : concat_list [(1 : bitvec 4), 0] 8 = (16 : bitvec 8) := by exact (of_as_true trivial)
--- Forms a list of bitvectors by taking a specific number of bits from parts of the
-- first argument.
--
-- The head of the list has the most-significant bits.
def split_to_list (x:ℕ) (w:ℕ) : ℕ → list (bitvec w)
| nat.zero := []
| (nat.succ n) := bitvec.of_nat w (nat.shiftr x (n*w)) :: split_to_list n
theorem length_split_to_list (x:ℕ) (w : ℕ) (m:ℕ) : list.length (split_to_list x w m) = m :=
begin
induction m,
case nat.zero { simp [split_to_list], },
case nat.succ : m ind { simp [split_to_list, ind, nat.succ_add], },
end
/- Split a single bitvector into a list of bitvectors with most-significant bits first. -/
def split_list {n:ℕ} (x:bitvec n) (w:ℕ) : list (bitvec w) := split_to_list x.to_nat w (nat.div n w)
/- Split a single bitvector into a vector of bitvectors with most-significant bits first. -/
def split_vec {n:ℕ} (x:bitvec n) (w m:ℕ) : vector (bitvec w) m :=
⟨split_to_list x.to_nat w m, length_split_to_list _ _ _⟩
example : split_list (16 : bitvec 8) 4 = [(1 : bitvec 4), 0] := by exact (of_as_true trivial)
--- Git bits [i..i+m] out of n.
def get_bits {n} (x:bitvec n) (i m : ℕ) (p:i+m ≤ n) : bitvec m :=
bitvec.of_nat m (nat.shiftr x.to_nat i)
--#eval ((get_bits (0x01234567 : bitvec 32) 8 16 (of_as_true trivial) = 0x2345) : bool)
--- Set bits at given index.
def set_bits {n} (x:bitvec n) (i:ℕ) {m} (y:bitvec m) (p:i+m ≤ n) : bitvec n :=
let mask := bitvec.of_nat n (nat.shiftl ((2^m)-1) i) in
or (diff x mask) (bitvec.of_nat n (nat.shiftl y.to_nat i))
--#eval ((set_bits (0x01234567 : bitvec 32) 8 (0x5432 : bitvec 16) (of_as_true trivial) = 0x01543267) : bool)
end bitvec
|
63d06c704eb96e580bbe6e9bad38a8fecbed3f59 | aa3f8992ef7806974bc1ffd468baa0c79f4d6643 | /tests/lean/run/gcd.lean | ade5f30cd9ba2b2554fadab7df52b177122e2a77 | [
"Apache-2.0"
] | permissive | codyroux/lean | 7f8dff750722c5382bdd0a9a9275dc4bb2c58dd3 | 0cca265db19f7296531e339192e9b9bae4a31f8b | refs/heads/master | 1,610,909,964,159 | 1,407,084,399,000 | 1,416,857,075,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,686 | lean | import data.nat data.prod logic.wf_k
open nat well_founded decidable prod eq.ops
namespace playground
-- Setup
definition pair_nat.lt := lex lt lt
definition pair_nat.lt.wf [instance] : well_founded pair_nat.lt :=
intro_k (prod.lex.wf lt.wf lt.wf) 20 -- the '20' is for being able to execute the examples... it means 20 recursive call without proof computation
infixl `≺`:50 := pair_nat.lt
-- Lemma for justifying recursive call
private lemma lt₁ (x₁ y₁ : nat) : (x₁ - y₁, succ y₁) ≺ (succ x₁, succ y₁) :=
!lex.left (le_imp_lt_succ (sub_le_self x₁ y₁))
-- Lemma for justifying recursive call
private lemma lt₂ (x₁ y₁ : nat) : (succ x₁, y₁ - x₁) ≺ (succ x₁, succ y₁) :=
!lex.right (le_imp_lt_succ (sub_le_self y₁ x₁))
definition gcd.F (p₁ : nat × nat) : (Π p₂ : nat × nat, p₂ ≺ p₁ → nat) → nat :=
prod.cases_on p₁ (λ (x y : nat),
nat.cases_on x
(λ f, y) -- x = 0
(λ x₁, nat.cases_on y
(λ f, succ x₁) -- y = 0
(λ y₁ (f : (Π p₂ : nat × nat, p₂ ≺ (succ x₁, succ y₁) → nat)),
if y₁ ≤ x₁ then f (x₁ - y₁, succ y₁) !lt₁
else f (succ x₁, y₁ - x₁) !lt₂)))
definition gcd (x y : nat) :=
fix gcd.F (pair x y)
theorem gcd_def_z_y (y : nat) : gcd 0 y = y :=
well_founded.fix_eq gcd.F (0, y)
theorem gcd_def_sx_z (x : nat) : gcd (x+1) 0 = x+1 :=
well_founded.fix_eq gcd.F (x+1, 0)
theorem gcd_def_sx_sy (x y : nat) : gcd (x+1) (y+1) = if y ≤ x then gcd (x-y) (y+1) else gcd (x+1) (y-x) :=
well_founded.fix_eq gcd.F (x+1, y+1)
example : gcd 4 6 = 2 :=
rfl
example : gcd 15 6 = 3 :=
rfl
example : gcd 0 2 = 2 :=
rfl
end playground
|
ed5bf4334551666eaaf72bbaf3176c8fd712e034 | 82e44445c70db0f03e30d7be725775f122d72f3e | /src/algebra/ring/prod.lean | 4829806640b10671f8396da7ac977a9b0adf14e0 | [
"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 | 5,998 | lean | /-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Chris Hughes, Mario Carneiro, Yury Kudryashov
-/
import algebra.group.prod
import algebra.ring.basic
import data.equiv.ring
/-!
# Semiring, ring etc structures on `R × S`
In this file we define two-binop (`semiring`, `ring` etc) structures on `R × S`. We also prove
trivial `simp` lemmas, and define the following operations on `ring_hom`s:
* `fst R S : R × S →+* R`, `snd R S : R × S →+* R`: projections `prod.fst` and `prod.snd`
as `ring_hom`s;
* `f.prod g : `R →+* S × T`: sends `x` to `(f x, g x)`;
* `f.prod_map g : `R × S → R' × S'`: `prod.map f g` as a `ring_hom`,
sends `(x, y)` to `(f x, g y)`.
-/
variables {R : Type*} {R' : Type*} {S : Type*} {S' : Type*} {T : Type*} {T' : Type*}
namespace prod
/-- Product of two distributive types is distributive. -/
instance [distrib R] [distrib S] : distrib (R × S) :=
{ left_distrib := λ a b c, mk.inj_iff.mpr ⟨left_distrib _ _ _, left_distrib _ _ _⟩,
right_distrib := λ a b c, mk.inj_iff.mpr ⟨right_distrib _ _ _, right_distrib _ _ _⟩,
.. prod.has_add, .. prod.has_mul }
/-- Product of two `non_unital_non_assoc_semiring`s is a `non_unital_non_assoc_semiring`. -/
instance [non_unital_non_assoc_semiring R] [non_unital_non_assoc_semiring S] :
non_unital_non_assoc_semiring (R × S) :=
{ .. prod.add_comm_monoid, .. prod.mul_zero_class, .. prod.distrib }
/-- Product of two `non_unital_semiring`s is a `non_unital_semiring`. -/
instance [non_unital_semiring R] [non_unital_semiring S] :
non_unital_semiring (R × S) :=
{ .. prod.non_unital_non_assoc_semiring, .. prod.semigroup }
/-- Product of two `non_assoc_semiring`s is a `non_assoc_semiring`. -/
instance [non_assoc_semiring R] [non_assoc_semiring S] :
non_assoc_semiring (R × S) :=
{ .. prod.non_unital_non_assoc_semiring, .. prod.mul_one_class }
/-- Product of two semirings is a semiring. -/
instance [semiring R] [semiring S] : semiring (R × S) :=
{ .. prod.add_comm_monoid, .. prod.monoid_with_zero, .. prod.distrib }
/-- Product of two commutative semirings is a commutative semiring. -/
instance [comm_semiring R] [comm_semiring S] : comm_semiring (R × S) :=
{ .. prod.semiring, .. prod.comm_monoid }
/-- Product of two rings is a ring. -/
instance [ring R] [ring S] : ring (R × S) :=
{ .. prod.add_comm_group, .. prod.semiring }
/-- Product of two commutative rings is a commutative ring. -/
instance [comm_ring R] [comm_ring S] : comm_ring (R × S) :=
{ .. prod.ring, .. prod.comm_monoid }
end prod
namespace ring_hom
variables (R S) [non_assoc_semiring R] [non_assoc_semiring S]
/-- Given semirings `R`, `S`, the natural projection homomorphism from `R × S` to `R`.-/
def fst : R × S →+* R := { to_fun := prod.fst, .. monoid_hom.fst R S, .. add_monoid_hom.fst R S }
/-- Given semirings `R`, `S`, the natural projection homomorphism from `R × S` to `S`.-/
def snd : R × S →+* S := { to_fun := prod.snd, .. monoid_hom.snd R S, .. add_monoid_hom.snd R S }
variables {R S}
@[simp] lemma coe_fst : ⇑(fst R S) = prod.fst := rfl
@[simp] lemma coe_snd : ⇑(snd R S) = prod.snd := rfl
section prod
variables [non_assoc_semiring T] (f : R →+* S) (g : R →+* T)
/-- Combine two ring homomorphisms `f : R →+* S`, `g : R →+* T` into `f.prod g : R →+* S × T`
given by `(f.prod g) x = (f x, g x)` -/
protected def prod (f : R →+* S) (g : R →+* T) : R →+* S × T :=
{ to_fun := λ x, (f x, g x),
.. monoid_hom.prod (f : R →* S) (g : R →* T), .. add_monoid_hom.prod (f : R →+ S) (g : R →+ T) }
@[simp] lemma prod_apply (x) : f.prod g x = (f x, g x) := rfl
@[simp] lemma fst_comp_prod : (fst S T).comp (f.prod g) = f :=
ext $ λ x, rfl
@[simp] lemma snd_comp_prod : (snd S T).comp (f.prod g) = g :=
ext $ λ x, rfl
lemma prod_unique (f : R →+* S × T) :
((fst S T).comp f).prod ((snd S T).comp f) = f :=
ext $ λ x, by simp only [prod_apply, coe_fst, coe_snd, comp_apply, prod.mk.eta]
end prod
section prod_map
variables [non_assoc_semiring R'] [non_assoc_semiring S'] [non_assoc_semiring T]
variables (f : R →+* R') (g : S →+* S')
/-- `prod.map` as a `ring_hom`. -/
def prod_map : R × S →* R' × S' := (f.comp (fst R S)).prod (g.comp (snd R S))
lemma prod_map_def : prod_map f g = (f.comp (fst R S)).prod (g.comp (snd R S)) := rfl
@[simp]
lemma coe_prod_map : ⇑(prod_map f g) = prod.map f g := rfl
lemma prod_comp_prod_map (f : T →* R) (g : T →* S) (f' : R →* R') (g' : S →* S') :
(f'.prod_map g').comp (f.prod g) = (f'.comp f).prod (g'.comp g) :=
rfl
end prod_map
end ring_hom
namespace ring_equiv
variables {R S} [non_assoc_semiring R] [non_assoc_semiring S]
/-- Swapping components as an equivalence of (semi)rings. -/
def prod_comm : R × S ≃+* S × R :=
{ ..add_equiv.prod_comm, ..mul_equiv.prod_comm }
@[simp] lemma coe_prod_comm : ⇑(prod_comm : R × S ≃+* S × R) = prod.swap := rfl
@[simp] lemma coe_prod_comm_symm : ⇑((prod_comm : R × S ≃+* S × R).symm) = prod.swap := rfl
@[simp] lemma fst_comp_coe_prod_comm :
(ring_hom.fst S R).comp ↑(prod_comm : R × S ≃+* S × R) = ring_hom.snd R S :=
ring_hom.ext $ λ _, rfl
@[simp] lemma snd_comp_coe_prod_comm :
(ring_hom.snd S R).comp ↑(prod_comm : R × S ≃+* S × R) = ring_hom.fst R S :=
ring_hom.ext $ λ _, rfl
variables (R S) [subsingleton S]
/-- A ring `R` is isomorphic to `R × S` when `S` is the zero ring -/
@[simps] def prod_zero_ring : R ≃+* R × S :=
{ to_fun := λ x, (x, 0),
inv_fun := prod.fst,
map_add' := by simp,
map_mul' := by simp,
left_inv := λ x, rfl,
right_inv := λ x, by cases x; simp }
/-- A ring `R` is isomorphic to `S × R` when `S` is the zero ring -/
@[simps] def zero_ring_prod : R ≃+* S × R :=
{ to_fun := λ x, (0, x),
inv_fun := prod.snd,
map_add' := by simp,
map_mul' := by simp,
left_inv := λ x, rfl,
right_inv := λ x, by cases x; simp }
end ring_equiv
|
5edf6ab5f3d628d02ca9090f74e65f48efb88b1d | 3adda22358e3c0fbae44c6c35fdddbebf9358ef4 | /src/Q2.lean | 1601b58935066bb90d772542313957e3817e628d | [
"Apache-2.0"
] | permissive | ImperialCollegeLondon/M1F-exam-may-2018 | 1539951b055cea5bac915bdb6fa1969e2f323402 | 8b5eca2037d4a14d6cfac3da1858b6c4119216d3 | refs/heads/master | 1,586,895,978,182 | 1,557,175,794,000 | 1,557,175,794,000 | 164,093,611 | 2 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,920 | lean | import data.real.basic
import for_mathlib.decimal_expansions
import zero_point_seven_one -- "obvious" proof that 0.71 has no 8's in decimal expansion!
/-
M1F May exam 2018, question 2.
-/
universe u
local attribute [instance, priority 0] classical.prop_decidable
-- Q2(a)(i)
def ub (S : set ℝ) (x : ℝ) := ∀ s ∈ S, s ≤ x ---ans
-- Q2(a)(ii)
-- iba: is bounded above
def iba (S : set ℝ) := ∃ x, ub S x ---ans
-- Q2(a)(iii)
def lub (S : set ℝ) (b : ℝ) := ub S b ∧ ∀ y : ℝ, (ub S y → b ≤ y) ---ans
-- Q2(b)
theorem lub_duh (S : set ℝ) : (∃ x, lub S x) → S ≠ ∅ ∧ iba S := ---ans
begin
intro Hexlub, cases Hexlub with x Hlub,
split,
intro Hemp, rw set.empty_def at Hemp,
cases Hlub with Hub Hl,
have Hallub : ∀ y : ℝ, ub S y,
unfold ub, rw Hemp, change (∀ (y s : ℝ), false → s ≤ y),
intros y s Hf, exfalso, exact Hf,
have Hneginf : ∀ y : ℝ, x ≤ y,
intro y, apply Hl, apply Hallub,
have Hcontr := Hneginf (x - 1),
revert Hcontr, norm_num,
existsi x, exact Hlub.left,
end
-- Q2(c)(i) preparation
def S1 := {x : ℝ | x < 59}
lemma between_bounds (x y : ℝ) (H : x < y) : x < (x + y) / 2 ∧ (x + y) / 2 < y :=
⟨by linarith, by linarith⟩
-- Q2(c)(i)
theorem S1_lub : lub S1 59 := ---ans
begin
split,
intro, change (s < 59 → s ≤ 59), exact le_of_lt,
intro y, change ((∀ (s : ℝ), s < 59 → s ≤ y) → 59 ≤ y), intro Hbub,
apply le_of_not_gt, intro Hbadub,
have Houtofbounds := between_bounds y 59 Hbadub,
apply not_le_of_gt Houtofbounds.1 (Hbub ((y + 59) / 2) Houtofbounds.2),
end
-- Q2(c)(ii) preparations
definition S2 : set ℝ := {x | 7/10 < x ∧ x < 9/10 ∧
∀ n : ℕ, decimal.expansion_nonneg x n ≠ 8}
lemma S2_nonempty_and_bounded : (∃ s : ℝ, s ∈ S2) ∧ ∀ (s : ℝ), s ∈ S2 → s ≤ 9/10 :=
begin
split,
{ -- 0.71 ∈ S
use (71 / 100 : ℝ),
split, norm_num, split, norm_num,
exact no_eights_in_0_point_71
},
rintro s ⟨hs1, hs2, h⟩,
exact le_of_lt hs2
end
-- Q2(c)(ii)
theorem S2_has_lub : ∃ b : ℝ, lub S2 b :=
begin
cases S2_nonempty_and_bounded with Hne Hbd,
have H := real.exists_sup S2 Hne ⟨(9/10 : ℝ), Hbd⟩,
cases H with b Hb,
use b,
split,
{ intros s2 Hs2,
exact (Hb b).mp (le_refl _) s2 Hs2,
},
{ intros y Hy,
exact (Hb y).mpr Hy,
}
end
-- Q2(d)(i)
theorem ublub_the_first (S : set ℝ) (b : ℝ) (hub : ub S b) (hin : b ∈ S) : lub S b := ---ans
begin
split,
exact hub,
intros y huby,
exact huby b hin,
end
-- Q2(d)(ii)
theorem adlub_the_second (S T : set ℝ) (b c : ℝ) (hlubb : lub S b) (hlubc : lub T c) ---ans
: lub ({x : ℝ | ∃ s t : ℝ, s ∈ S ∧ t ∈ T ∧ x = s + t}) (b + c) :=
begin
split,
unfold ub, simp, intros x s hss t htt hxst, rw hxst,
apply add_le_add (hlubb.1 s hss) (hlubc.1 t htt),
unfold ub, simp, intros x Hx,
apply le_of_not_gt, intro Hcontr,
let ε := b + c - x,
have Hcontr' : ε > 0 := (by linarith : b + c - x > 0),
have rwx : x = (b - ε / 2) + (c - ε / 2)
:= (by linarith : x = (b - (b + c - x) / 2) + (c - (b + c - x) / 2)),
have hnbub : ∃ s' ∈ S, b - ε / 2 < s',
by_contradiction,
have a' : (¬∃ (s' : ℝ), s' ∈ S ∧ b - ε / 2 < s'),
intro b, apply a, cases b with σ Hσ, existsi σ, existsi Hσ.1, exact Hσ.2,
have a'' : ∀ (x : ℝ), x ∈ S → ¬(b - ε / 2 < x),
intros x Hx Hb, rw not_exists at a', apply a' x, exact ⟨Hx, Hb⟩,
simp only [not_lt] at a'', rw ←ub at a'',
have a''' := hlubb.2 _ a'',
linarith,
have hnbuc : ∃ t' ∈ T, c - ε / 2 < t',
by_contradiction,
have a' : (¬∃ (t' : ℝ), t' ∈ T ∧ c - ε / 2 < t'),
intro b, apply a, cases b with σ Hσ, existsi σ, existsi Hσ.1, exact Hσ.2,
have a'' : ∀ (x : ℝ), x ∈ T → ¬(c - ε / 2 < x),
intros x Hx Hc, rw not_exists at a', apply a' x, exact ⟨Hx, Hc⟩,
simp only [not_lt] at a'', rw ←ub at a'',
have a''' := hlubc.2 _ a'',
linarith,
cases hnbub with s' hnbub', cases hnbub' with Hs' hnbub'',
cases hnbuc with t' hnbuc', cases hnbuc' with Ht' hnbuc'',
have Hx' := Hx (s' + t') s' Hs' t' Ht' rfl,
have Haha : x < x
:= lt_of_lt_of_le (by { rw rwx, apply add_lt_add hnbub'' hnbuc'' } : x < s' + t') Hx',
linarith,
end
|
5a5a885109eafb876a948b5ba9ad0c418e5382ad | 2eab05920d6eeb06665e1a6df77b3157354316ad | /src/analysis/box_integral/divergence_theorem.lean | 57c87751d20a0b1e0d35c4e3d67e44ed79dfb3d5 | [
"Apache-2.0"
] | permissive | ayush1801/mathlib | 78949b9f789f488148142221606bf15c02b960d2 | ce164e28f262acbb3de6281b3b03660a9f744e3c | refs/heads/master | 1,692,886,907,941 | 1,635,270,866,000 | 1,635,270,866,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 16,374 | 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.basic
import analysis.box_integral.partition.additive
import analysis.calculus.fderiv
/-!
# Divergence integral for Henstock-Kurzweil integral
In this file we prove the Divergence Theorem for a Henstock-Kurzweil style integral. The theorem
says the following. Let `f : ℝⁿ → Eⁿ` be a function differentiable on a closed rectangular box
`I` with derivative `f' x : ℝⁿ →L[ℝ] Eⁿ` at `x ∈ I`. Then the divergence `λ x, ∑ k, f' x eₖ k`,
where `eₖ = pi.single k 1` is the `k`-th basis vector, is integrable on `I`, and its integral is
equal to the sum of integrals of `f` over the faces of `I` taken with appropriate signs.
To make the proof work, we had to ban tagged partitions with “long and thin” boxes. More precisely,
we use the following generalization of one-dimensional Henstock-Kurzweil integral to functions
defined on a box in `ℝⁿ` (it corresponds to the value `⊥` of `box_integral.integration_params` in
the definition of `box_integral.has_integral`).
We say that `f : ℝⁿ → E` has integral `y : E` over a box `I ⊆ ℝⁿ` if for an arbitrarily small
positive `ε` and an arbitrarily large `c`, there exists a function `r : ℝⁿ → (0, ∞)` such that for
any tagged partition `π` of `I` such that
* `π` is a Henstock partition, i.e., each tag belongs to its box;
* `π` is subordinate to `r`;
* for every box of `π`, the maximum of the ratios of its sides is less than or equal to `c`,
the integral sum of `f` over `π` is `ε`-close to `y`. In case of dimension one, the last condition
trivially holds for any `c ≥ 1`, so this definition is equivalent to the standard definition of
Henstock-Kurzweil integral.
## Tags
Henstock-Kurzweil integral, integral, Stokes theorem, divergence theorem
-/
open_locale classical big_operators nnreal ennreal topological_space box_integral
open continuous_linear_map (lsmul) filter set finset metric
noncomputable theory
universes u
variables {E : Type u} [normed_group E] [normed_space ℝ E] {n : ℕ}
namespace box_integral
local notation `ℝⁿ` := fin n → ℝ
local notation `ℝⁿ⁺¹` := fin (n + 1) → ℝ
local notation `Eⁿ⁺¹` := fin (n + 1) → E
variables [complete_space E] (I : box (fin (n + 1))) {i : fin (n + 1)}
open measure_theory
/-- Auxiliary lemma for the divergence theorem. -/
lemma norm_volume_sub_integral_face_upper_sub_lower_smul_le
{f : ℝⁿ⁺¹ → E} {f' : ℝⁿ⁺¹ →L[ℝ] E} (hfc : continuous_on f I.Icc)
{x : ℝⁿ⁺¹} (hxI : x ∈ I.Icc) {a : E} {ε : ℝ} (h0 : 0 < ε)
(hε : ∀ y ∈ I.Icc, ∥f y - a - f' (y - x)∥ ≤ ε * ∥y - x∥) {c : ℝ≥0} (hc : I.distortion ≤ c) :
∥(∏ j, (I.upper j - I.lower j)) • f' (pi.single i 1) -
(integral (I.face i) ⊥ (f ∘ i.insert_nth (I.upper i)) box_additive_map.volume -
integral (I.face i) ⊥ (f ∘ i.insert_nth (I.lower i)) box_additive_map.volume)∥ ≤
2 * ε * c * ∏ j, (I.upper j - I.lower j) :=
begin
/- **Plan of the proof**. The difference of the integrals of the affine function
`λ y, a + f' (y - x)` over the faces `x i = I.upper i` and `x i = I.lower i` is equal to the
volume of `I` multiplied by `f' (pi.single i 1)`, so it suffices to show that the integral of
`f y - a - f' (y - x)` over each of these faces is less than or equal to `ε * c * vol I`. We
integrate a function of the norm `≤ ε * diam I.Icc` over a box of volume
`∏ j ≠ i, (I.upper j - I.lower j)`. Since `diam I.Icc ≤ c * (I.upper i - I.lower i)`, we get the
required estimate. -/
have Hl : I.lower i ∈ Icc (I.lower i) (I.upper i), from left_mem_Icc.2 (I.lower_le_upper i),
have Hu : I.upper i ∈ Icc (I.lower i) (I.upper i), from right_mem_Icc.2 (I.lower_le_upper i),
have Hi : ∀ x ∈ Icc (I.lower i) (I.upper i),
integrable.{0 u u} (I.face i) ⊥ (f ∘ i.insert_nth x) box_additive_map.volume,
from λ x hx, integrable_of_continuous_on _ (box.continuous_on_face_Icc hfc hx) volume,
/- We start with an estimate: the difference of the values of `f` at the corresponding points
of the faces `x i = I.lower i` and `x i = I.upper i` is `(2 * ε * diam I.Icc)`-close to the value
of `f'` on `pi.single i (I.upper i - I.lower i) = lᵢ • eᵢ`, where `lᵢ = I.upper i - I.lower i`
is the length of `i`-th edge of `I` and `eᵢ = pi.single i 1` is the `i`-th unit vector. -/
have : ∀ y ∈ (I.face i).Icc, ∥f' (pi.single i (I.upper i - I.lower i)) -
(f (i.insert_nth (I.upper i) y) - f (i.insert_nth (I.lower i) y))∥ ≤ 2 * ε * diam I.Icc,
{ intros y hy,
set g := λ y, f y - a - f' (y - x) with hg,
change ∀ y ∈ I.Icc, ∥g y∥ ≤ ε * ∥y - x∥ at hε,
clear_value g, obtain rfl : f = λ y, a + f' (y - x) + g y, by simp [hg],
convert_to ∥g (i.insert_nth (I.lower i) y) - g (i.insert_nth (I.upper i) y)∥ ≤ _,
{ congr' 1,
have := fin.insert_nth_sub_same i (I.upper i) (I.lower i) y,
simp only [← this, f'.map_sub], abel },
{ have : ∀ z ∈ Icc (I.lower i) (I.upper i), i.insert_nth z y ∈ I.Icc,
from λ z hz, I.maps_to_insert_nth_face_Icc hz hy,
replace hε : ∀ y ∈ I.Icc, ∥g y∥ ≤ ε * diam I.Icc,
{ intros y hy,
refine (hε y hy).trans (mul_le_mul_of_nonneg_left _ h0.le),
rw ← dist_eq_norm,
exact dist_le_diam_of_mem I.is_compact_Icc.bounded hy hxI },
rw [two_mul, add_mul],
exact norm_sub_le_of_le (hε _ (this _ Hl)) (hε _ (this _ Hu)) } },
calc ∥(∏ j, (I.upper j - I.lower j)) • f' (pi.single i 1) -
(integral (I.face i) ⊥ (f ∘ i.insert_nth (I.upper i)) box_additive_map.volume -
integral (I.face i) ⊥ (f ∘ i.insert_nth (I.lower i)) box_additive_map.volume)∥
= ∥integral.{0 u u} (I.face i) ⊥
(λ (x : fin n → ℝ), f' (pi.single i (I.upper i - I.lower i)) -
(f (i.insert_nth (I.upper i) x) - f (i.insert_nth (I.lower i) x)))
box_additive_map.volume∥ :
begin
rw [← integral_sub (Hi _ Hu) (Hi _ Hl), ← box.volume_face_mul i, mul_smul, ← box.volume_apply,
← box_additive_map.to_smul_apply, ← integral_const, ← box_additive_map.volume,
← integral_sub (integrable_const _) ((Hi _ Hu).sub (Hi _ Hl))],
simp only [(∘), pi.sub_def, ← f'.map_smul, ← pi.single_smul', smul_eq_mul, mul_one]
end
... ≤ (volume (I.face i : set ℝⁿ)).to_real * (2 * ε * c * (I.upper i - I.lower i)) :
begin
-- The hard part of the estimate was done above, here we just replace `diam I.Icc`
-- with `c * (I.upper i - I.lower i)`
refine norm_integral_le_of_le_const (λ y hy, (this y hy).trans _) volume,
rw mul_assoc (2 * ε),
exact mul_le_mul_of_nonneg_left (I.diam_Icc_le_of_distortion_le i hc)
(mul_nonneg zero_le_two h0.le)
end
... = 2 * ε * c * ∏ j, (I.upper j - I.lower j) :
begin
rw [← measure.to_box_additive_apply, box.volume_apply, ← I.volume_face_mul i],
ac_refl
end
end
/-- If `f : ℝⁿ⁺¹ → E` is differentiable on a closed rectangular box `I` with derivative `f'`, then
the partial derivative `λ x, f' x (pi.single i 1)` is Henstock-Kurzweil integrable with integral
equal to the difference of integrals of `f` over the faces `x i = I.upper i` and `x i = I.lower i`.
More precisely, we use a non-standard generalization of the Henstock-Kurzweil integral and
we allow `f` to be non-differentiable (but still continuous) at a countable set of points.
TODO: If `n > 0`, then the condition at `x ∈ s` can be replaced by a much weaker estimate but this
requires either better integrability theorems, or usage of a filter depending on the countable set
`s` (we need to ensure that none of the faces of a partition contain a point from `s`). -/
lemma has_integral_bot_pderiv (f : ℝⁿ⁺¹ → E) (f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] E) (s : set ℝⁿ⁺¹)
(hs : countable s) (Hs : ∀ x ∈ s, continuous_within_at f I.Icc x)
(Hd : ∀ x ∈ I.Icc \ s, has_fderiv_within_at f (f' x) I.Icc x) (i : fin (n + 1)) :
has_integral.{0 u u} I ⊥ (λ x, f' x (pi.single i 1)) box_additive_map.volume
(integral.{0 u u} (I.face i) ⊥ (λ x, f (i.insert_nth (I.upper i) x)) box_additive_map.volume -
integral.{0 u u} (I.face i) ⊥ (λ x, f (i.insert_nth (I.lower i) x))
box_additive_map.volume) :=
begin
/- Note that `f` is continuous on `I.Icc`, hence it is integrable on the faces of all boxes
`J ≤ I`, thus the difference of integrals over `x i = J.upper i` and `x i = J.lower i` is a
box-additive function of `J ≤ I`. -/
have Hc : continuous_on f I.Icc,
{ intros x hx,
by_cases hxs : x ∈ s,
exacts [Hs x hxs, (Hd x ⟨hx, hxs⟩).continuous_within_at] },
set fI : ℝ → box (fin n) → E := λ y J,
integral.{0 u u} J ⊥ (λ x, f (i.insert_nth y x)) box_additive_map.volume,
set fb : Icc (I.lower i) (I.upper i) → fin n →ᵇᵃ[↑(I.face i)] E :=
λ x, (integrable_of_continuous_on ⊥ (box.continuous_on_face_Icc Hc x.2) volume).to_box_additive,
set F : fin (n + 1) →ᵇᵃ[I] E := box_additive_map.upper_sub_lower I i fI fb (λ x hx J, rfl),
/- Thus our statement follows from some local estimates. -/
change has_integral I ⊥ (λ x, f' x (pi.single i 1)) _ (F I),
refine has_integral_of_le_Henstock_of_forall_is_o bot_le _ _ _ s hs _ _,
{ /- We use the volume as an upper estimate. -/
exact (volume : measure ℝⁿ⁺¹).to_box_additive.restrict _ le_top },
{ exact λ J, ennreal.to_real_nonneg },
{ intros c x hx ε ε0,
/- Near `x ∈ s` we choose `δ` so that both vectors are small. `volume J • eᵢ` is small because
`volume J ≤ (2 * δ) ^ (n + 1)` is small, and the difference of the integrals is small
because each of the integrals is close to `volume (J.face i) • f x`.
TODO: there should be a shorter and more readable way to formalize this simple proof. -/
have : ∀ᶠ δ in 𝓝[Ioi 0] (0 : ℝ), δ ∈ Ioc (0 : ℝ) (1 / 2) ∧
(∀ y₁ y₂ ∈ closed_ball x δ ∩ I.Icc, ∥f y₁ - f y₂∥ ≤ ε / 2) ∧
((2 * δ) ^ (n + 1) * ∥f' x (pi.single i 1)∥ ≤ ε / 2),
{ refine eventually.and _ (eventually.and _ _),
{ exact Ioc_mem_nhds_within_Ioi ⟨le_rfl, one_half_pos⟩ },
{ rcases ((nhds_within_has_basis nhds_basis_closed_ball _).tendsto_iff
nhds_basis_closed_ball).1 (Hs x hx.2) _ (half_pos $ half_pos ε0) with ⟨δ₁, δ₁0, hδ₁⟩,
filter_upwards [Ioc_mem_nhds_within_Ioi ⟨le_rfl, δ₁0⟩],
rintro δ hδ y₁ y₂ hy₁ hy₂,
have : closed_ball x δ ∩ I.Icc ⊆ closed_ball x δ₁ ∩ I.Icc,
from inter_subset_inter_left _ (closed_ball_subset_closed_ball hδ.2),
rw ← dist_eq_norm,
calc dist (f y₁) (f y₂) ≤ dist (f y₁) (f x) + dist (f y₂) (f x) : dist_triangle_right _ _ _
... ≤ ε / 2 / 2 + ε / 2 / 2 : add_le_add (hδ₁ _ $ this hy₁) (hδ₁ _ $ this hy₂)
... = ε / 2 : add_halves _ },
{ have : continuous_within_at (λ δ, (2 * δ) ^ (n + 1) * ∥f' x (pi.single i 1)∥)
(Ioi (0 : ℝ)) 0 := ((continuous_within_at_id.const_mul _).pow _).mul_const _,
refine this.eventually (ge_mem_nhds _),
simpa using half_pos ε0 } },
rcases this.exists with ⟨δ, ⟨hδ0, hδ12⟩, hdfδ, hδ⟩,
refine ⟨δ, hδ0, λ J hJI hJδ hxJ hJc, add_halves ε ▸ _⟩,
have Hl : J.lower i ∈ Icc (J.lower i) (J.upper i), from left_mem_Icc.2 (J.lower_le_upper i),
have Hu : J.upper i ∈ Icc (J.lower i) (J.upper i), from right_mem_Icc.2 (J.lower_le_upper i),
have Hi : ∀ x ∈ Icc (J.lower i) (J.upper i),
integrable.{0 u u} (J.face i) ⊥ (λ y, f (i.insert_nth x y)) box_additive_map.volume,
from λ x hx, integrable_of_continuous_on _
(box.continuous_on_face_Icc (Hc.mono $ box.le_iff_Icc.1 hJI) hx) volume,
have hJδ' : J.Icc ⊆ closed_ball x δ ∩ I.Icc,
from subset_inter hJδ (box.le_iff_Icc.1 hJI),
have Hmaps : ∀ z ∈ Icc (J.lower i) (J.upper i),
maps_to (i.insert_nth z) (J.face i).Icc (closed_ball x δ ∩ I.Icc),
from λ z hz, (J.maps_to_insert_nth_face_Icc hz).mono subset.rfl hJδ',
simp only [dist_eq_norm, F, fI], dsimp,
rw [← integral_sub (Hi _ Hu) (Hi _ Hl)],
refine (norm_sub_le _ _).trans (add_le_add _ _),
{ simp_rw [box_additive_map.volume_apply, norm_smul, real.norm_eq_abs, abs_prod],
refine (mul_le_mul_of_nonneg_right _ $ norm_nonneg _).trans hδ,
have : ∀ j, |J.upper j - J.lower j| ≤ 2 * δ,
{ intro j,
calc dist (J.upper j) (J.lower j) ≤ dist J.upper J.lower : dist_le_pi_dist _ _ _
... ≤ dist J.upper x + dist J.lower x : dist_triangle_right _ _ _
... ≤ δ + δ : add_le_add (hJδ J.upper_mem_Icc) (hJδ J.lower_mem_Icc)
... = 2 * δ : (two_mul δ).symm },
calc (∏ j, |J.upper j - J.lower j|) ≤ ∏ j : fin (n + 1), (2 * δ) :
prod_le_prod (λ _ _ , abs_nonneg _) (λ j hj, this j)
... = (2 * δ) ^ (n + 1) : by simp },
{ refine (norm_integral_le_of_le_const (λ y hy,
hdfδ _ _ (Hmaps _ Hu hy) (Hmaps _ Hl hy)) _).trans _,
refine (mul_le_mul_of_nonneg_right _ (half_pos ε0).le).trans_eq (one_mul _),
rw [box.coe_eq_pi, real.volume_pi_Ioc_to_real (box.lower_le_upper _)],
refine prod_le_one (λ _ _, sub_nonneg.2 $ box.lower_le_upper _ _) (λ j hj, _),
calc J.upper (i.succ_above j) - J.lower (i.succ_above j)
≤ dist (J.upper (i.succ_above j)) (J.lower (i.succ_above j)) : le_abs_self _
... ≤ dist J.upper J.lower : dist_le_pi_dist J.upper J.lower (i.succ_above j)
... ≤ dist J.upper x + dist J.lower x : dist_triangle_right _ _ _
... ≤ δ + δ : add_le_add (hJδ J.upper_mem_Icc) (hJδ J.lower_mem_Icc)
... ≤ 1 / 2 + 1 / 2 : add_le_add hδ12 hδ12
... = 1 : add_halves 1 } },
{ intros c x hx ε ε0,
/- At a point `x ∉ s`, we unfold the definition of Fréchet differentiability, then use
an estimate we proved earlier in this file. -/
rcases exists_pos_mul_lt ε0 (2 * c) with ⟨ε', ε'0, hlt⟩,
rcases (nhds_within_has_basis nhds_basis_closed_ball _).mem_iff.1 ((Hd x hx).def ε'0)
with ⟨δ, δ0, Hδ⟩,
refine ⟨δ, δ0, λ J hle hJδ hxJ hJc, _⟩,
simp only [box_additive_map.volume_apply, box.volume_apply, dist_eq_norm],
refine (norm_volume_sub_integral_face_upper_sub_lower_smul_le _
(Hc.mono $ box.le_iff_Icc.1 hle) hxJ ε'0 (λ y hy, Hδ _) (hJc rfl)).trans _,
{ exact ⟨hJδ hy, box.le_iff_Icc.1 hle hy⟩ },
{ rw [mul_right_comm (2 : ℝ), ← box.volume_apply],
exact mul_le_mul_of_nonneg_right hlt.le ennreal.to_real_nonneg } }
end
/-- Divergence theorem for a Henstock-Kurzweil style integral.
If `f : ℝⁿ⁺¹ → Eⁿ⁺¹` is differentiable on a closed rectangular box `I` with derivative `f'`, then
the divergence `∑ i, f' x (pi.single i 1) i` is Henstock-Kurzweil integrable with integral equal to
the sum of integrals of `f` over the faces of `I` taken with appropriate signs.
More precisely, we use a non-standard generalization of the Henstock-Kurzweil integral and
we allow `f` to be non-differentiable (but still continuous) at a countable set of points. -/
lemma has_integral_bot_divergence_of_forall_has_deriv_within_at
(f : ℝⁿ⁺¹ → Eⁿ⁺¹) (f' : ℝⁿ⁺¹ → ℝⁿ⁺¹ →L[ℝ] Eⁿ⁺¹) (s : set ℝⁿ⁺¹) (hs : countable s)
(Hs : ∀ x ∈ s, continuous_within_at f I.Icc x)
(Hd : ∀ x ∈ I.Icc \ s, has_fderiv_within_at f (f' x) I.Icc x) :
has_integral.{0 u u} I ⊥ (λ x, ∑ i, f' x (pi.single i 1) i)
box_additive_map.volume
(∑ i, (integral.{0 u u} (I.face i) ⊥ (λ x, f (i.insert_nth (I.upper i) x) i)
box_additive_map.volume -
integral.{0 u u} (I.face i) ⊥ (λ x, f (i.insert_nth (I.lower i) x) i)
box_additive_map.volume)) :=
begin
refine has_integral_sum (λ i hi, _), clear hi,
simp only [has_fderiv_within_at_pi', continuous_within_at_pi] at Hd Hs,
convert has_integral_bot_pderiv I _ _ s hs (λ x hx, Hs x hx i) (λ x hx, Hd x hx i) i
end
end box_integral
|
0f075fa96e9c142a5ae6c5d66e8cc870b1d60120 | 491068d2ad28831e7dade8d6dff871c3e49d9431 | /hott/init/priority.hlean | b6731949ada54c55032e179694c5ffbc5655b2df | [
"Apache-2.0"
] | permissive | davidmueller13/lean | 65a3ed141b4088cd0a268e4de80eb6778b21a0e9 | c626e2e3c6f3771e07c32e82ee5b9e030de5b050 | refs/heads/master | 1,611,278,313,401 | 1,444,021,177,000 | 1,444,021,177,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 293 | hlean | /-
Copyright (c) 2014 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import init.datatypes
definition std.priority.default : num := 1000
definition std.priority.max : num := 4294967295
|
a5698a5e0018ed6aa28f790829ee2bbb36288bb7 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/data/polynomial/taylor.lean | 5ea229788f0b4d066a2c5d16f02fc5a77a21189c | [
"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 | 4,775 | lean | /-
Copyright (c) 2021 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import data.polynomial.algebra_map
import data.polynomial.hasse_deriv
import data.polynomial.degree.lemmas
/-!
# Taylor expansions of polynomials
## Main declarations
* `polynomial.taylor`: the Taylor expansion of the polynomial `f` at `r`
* `polynomial.taylor_coeff`: the `k`th coefficient of `taylor r f` is
`(polynomial.hasse_deriv k f).eval r`
* `polynomial.eq_zero_of_hasse_deriv_eq_zero`:
the identity principle: a polynomial is 0 iff all its Hasse derivatives are zero
-/
noncomputable theory
namespace polynomial
open_locale polynomial
variables {R : Type*} [semiring R] (r : R) (f : R[X])
/-- The Taylor expansion of a polynomial `f` at `r`. -/
def taylor (r : R) : R[X] →ₗ[R] R[X] :=
{ to_fun := λ f, f.comp (X + C r),
map_add' := λ f g, add_comp,
map_smul' := λ c f, by simp only [smul_eq_C_mul, C_mul_comp, ring_hom.id_apply] }
lemma taylor_apply : taylor r f = f.comp (X + C r) := rfl
@[simp] lemma taylor_X : taylor r X = X + C r :=
by simp only [taylor_apply, X_comp]
@[simp] lemma taylor_C (x : R) : taylor r (C x) = C x :=
by simp only [taylor_apply, C_comp]
@[simp] lemma taylor_zero' : taylor (0 : R) = linear_map.id :=
begin
ext,
simp only [taylor_apply, add_zero, comp_X, _root_.map_zero, linear_map.id_comp, function.comp_app,
linear_map.coe_comp]
end
lemma taylor_zero (f : R[X]) : taylor 0 f = f :=
by rw [taylor_zero', linear_map.id_apply]
@[simp] lemma taylor_one : taylor r (1 : R[X]) = C 1 :=
by rw [← C_1, taylor_C]
@[simp] lemma taylor_monomial (i : ℕ) (k : R) : taylor r (monomial i k) = C k * (X + C r) ^ i :=
by simp [taylor_apply]
/-- The `k`th coefficient of `polynomial.taylor r f` is `(polynomial.hasse_deriv k f).eval r`. -/
lemma taylor_coeff (n : ℕ) : (taylor r f).coeff n = (hasse_deriv n f).eval r :=
show (lcoeff R n).comp (taylor r) f = (leval r).comp (hasse_deriv n) f,
begin
congr' 1, clear f, ext i,
simp only [leval_apply, mul_one, one_mul, eval_monomial, linear_map.comp_apply, coeff_C_mul,
hasse_deriv_monomial, taylor_apply, monomial_comp, C_1,
(commute_X (C r)).add_pow i, linear_map.map_sum],
simp only [lcoeff_apply, ← C_eq_nat_cast, mul_assoc, ← C_pow, ← C_mul, coeff_mul_C,
(nat.cast_commute _ _).eq, coeff_X_pow, boole_mul, finset.sum_ite_eq, finset.mem_range],
split_ifs with h, { refl },
push_neg at h, rw [nat.choose_eq_zero_of_lt h, nat.cast_zero, mul_zero],
end
@[simp] lemma taylor_coeff_zero : (taylor r f).coeff 0 = f.eval r :=
by rw [taylor_coeff, hasse_deriv_zero, linear_map.id_apply]
@[simp] lemma taylor_coeff_one : (taylor r f).coeff 1 = f.derivative.eval r :=
by rw [taylor_coeff, hasse_deriv_one]
@[simp] lemma nat_degree_taylor (p : R[X]) (r : R) :
nat_degree (taylor r p) = nat_degree p :=
begin
refine map_nat_degree_eq_nat_degree _ _,
nontriviality R,
intros n c c0,
simp [taylor_monomial, nat_degree_C_mul_eq_of_mul_ne_zero, nat_degree_pow_X_add_C, c0]
end
@[simp] lemma taylor_mul {R} [comm_semiring R] (r : R) (p q : R[X]) :
taylor r (p * q) = taylor r p * taylor r q :=
by simp only [taylor_apply, mul_comp]
/-- `polynomial.taylor` as a `alg_hom` for commutative semirings -/
@[simps apply] def taylor_alg_hom {R} [comm_semiring R] (r : R) : R[X] →ₐ[R] R[X] :=
alg_hom.of_linear_map (taylor r) (taylor_one r) (taylor_mul r)
lemma taylor_taylor {R} [comm_semiring R] (f : R[X]) (r s : R) :
taylor r (taylor s f) = taylor (r + s) f :=
by simp only [taylor_apply, comp_assoc, map_add, add_comp, X_comp, C_comp, C_add, add_assoc]
lemma taylor_eval {R} [comm_semiring R] (r : R) (f : R[X]) (s : R) :
(taylor r f).eval s = f.eval (s + r) :=
by simp only [taylor_apply, eval_comp, eval_C, eval_X, eval_add]
lemma taylor_eval_sub {R} [comm_ring R] (r : R) (f : R[X]) (s : R) :
(taylor r f).eval (s - r) = f.eval s :=
by rw [taylor_eval, sub_add_cancel]
lemma taylor_injective {R} [comm_ring R] (r : R) : function.injective (taylor r) :=
begin
intros f g h,
apply_fun taylor (-r) at h,
simpa only [taylor_apply, comp_assoc, add_comp, X_comp, C_comp, C_neg,
neg_add_cancel_right, comp_X] using h,
end
lemma eq_zero_of_hasse_deriv_eq_zero {R} [comm_ring R] (f : R[X]) (r : R)
(h : ∀ k, (hasse_deriv k f).eval r = 0) :
f = 0 :=
begin
apply taylor_injective r,
rw linear_map.map_zero,
ext k,
simp only [taylor_coeff, h, coeff_zero],
end
/-- Taylor's formula. -/
lemma sum_taylor_eq {R} [comm_ring R] (f : R[X]) (r : R) :
(taylor r f).sum (λ i a, C a * (X - C r) ^ i) = f :=
by rw [←comp_eq_sum_left, sub_eq_add_neg, ←C_neg, ←taylor_apply, taylor_taylor, neg_add_self,
taylor_zero]
end polynomial
|
b29719dc0128b0ddf660d828a43e04f73eb70f12 | a338c3e75cecad4fb8d091bfe505f7399febfd2b | /src/data/complex/module.lean | 70246e4460715c7ab17abdc5ee678de6c4d0a6f9 | [
"Apache-2.0"
] | permissive | bacaimano/mathlib | 88eb7911a9054874fba2a2b74ccd0627c90188af | f2edc5a3529d95699b43514d6feb7eb11608723f | refs/heads/master | 1,686,410,075,833 | 1,625,497,070,000 | 1,625,497,070,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 11,247 | lean | /-
Copyright (c) 2020 Alexander Bentkamp, Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp, Sébastien Gouëzel, Eric Wieser
-/
import data.complex.basic
import algebra.algebra.ordered
import data.matrix.notation
import field_theory.tower
import linear_algebra.finite_dimensional
/-!
# Complex number as a vector space over `ℝ`
This file contains the following instances:
* Any `•`-structure (`has_scalar`, `mul_action`, `distrib_mul_action`, `module`, `algebra`) on
`ℝ` imbues a corresponding structure on `ℂ`. This includes the statement that `ℂ` is an `ℝ`
algebra.
* any complex vector space is a real vector space;
* any finite dimensional complex vector space is a finite dimensional real vector space;
* the space of `ℝ`-linear maps from a real vector space to a complex vector space is a complex
vector space.
It also defines bundled versions of four standard maps (respectively, the real part, the imaginary
part, the embedding of `ℝ` in `ℂ`, and the complex conjugate):
* `complex.re_lm` (`ℝ`-linear map);
* `complex.im_lm` (`ℝ`-linear map);
* `complex.of_real_am` (`ℝ`-algebra (homo)morphism);
* `complex.conj_ae` (`ℝ`-algebra equivalence).
It also provides a universal property of the complex numbers `complex.lift`, which constructs a
`ℂ →ₐ[ℝ] A` into any `ℝ`-algebra `A` given a square root of `-1`.
-/
noncomputable theory
namespace complex
variables {R : Type*} {S : Type*}
section
variables [has_scalar R ℝ]
/- The useless `0` multiplication in `smul` is to make sure that
`restrict_scalars.module ℝ ℂ ℂ = complex.module` definitionally. -/
instance : has_scalar R ℂ :=
{ smul := λ r x, ⟨r • x.re - 0 * x.im, r • x.im + 0 * x.re⟩ }
lemma smul_re (r : R) (z : ℂ) : (r • z).re = r • z.re := by simp [(•)]
lemma smul_im (r : R) (z : ℂ) : (r • z).im = r • z.im := by simp [(•)]
@[simp] lemma smul_coe {x : ℝ} {z : ℂ} : x • z = x * z :=
by ext; simp [smul_re, smul_im]
end
instance [has_scalar R ℝ] [has_scalar S ℝ] [smul_comm_class R S ℝ] : smul_comm_class R S ℂ :=
{ smul_comm := λ r s x, by ext; simp [smul_re, smul_im, smul_comm] }
instance [has_scalar R S] [has_scalar R ℝ] [has_scalar S ℝ] [is_scalar_tower R S ℝ] :
is_scalar_tower R S ℂ :=
{ smul_assoc := λ r s x, by ext; simp [smul_re, smul_im, smul_assoc] }
instance [monoid R] [mul_action R ℝ] : mul_action R ℂ :=
{ one_smul := λ x, by ext; simp [smul_re, smul_im, one_smul],
mul_smul := λ r s x, by ext; simp [smul_re, smul_im, mul_smul] }
instance [semiring R] [distrib_mul_action R ℝ] : distrib_mul_action R ℂ :=
{ smul_add := λ r x y, by ext; simp [smul_re, smul_im, smul_add],
smul_zero := λ r, by ext; simp [smul_re, smul_im, smul_zero] }
instance [semiring R] [module R ℝ] : module R ℂ :=
{ add_smul := λ r s x, by ext; simp [smul_re, smul_im, add_smul],
zero_smul := λ r, by ext; simp [smul_re, smul_im, zero_smul] }
instance [comm_semiring R] [algebra R ℝ] : algebra R ℂ :=
{ smul := (•),
smul_def' := λ r x, by ext; simp [smul_re, smul_im, algebra.smul_def],
commutes' := λ r ⟨xr, xi⟩, by ext; simp [smul_re, smul_im, algebra.commutes],
..complex.of_real.comp (algebra_map R ℝ) }
/-- Note that when applied the RHS is further simplified by `complex.of_real_eq_coe`. -/
@[simp] lemma coe_algebra_map : ⇑(algebra_map ℝ ℂ) = complex.of_real := rfl
section
variables {A : Type*} [semiring A] [algebra ℝ A]
/-- We need this lemma since `complex.coe_algebra_map` diverts the simp-normal form away from
`alg_hom.commutes`. -/
@[simp] lemma _root_.alg_hom.map_coe_real_complex (f : ℂ →ₐ[ℝ] A) (x : ℝ) :
f x = algebra_map ℝ A x :=
f.commutes x
/-- Two `ℝ`-algebra homomorphisms from ℂ are equal if they agree on `complex.I`. -/
@[ext]
lemma alg_hom_ext ⦃f g : ℂ →ₐ[ℝ] A⦄ (h : f I = g I) : f = g :=
begin
ext ⟨x, y⟩,
simp only [mk_eq_add_mul_I, alg_hom.map_add, alg_hom.map_coe_real_complex, alg_hom.map_mul, h]
end
end
section
open_locale complex_order
lemma complex_ordered_module : ordered_module ℝ ℂ :=
{ smul_lt_smul_of_pos := λ z w x h₁ h₂,
begin
obtain ⟨y, l, rfl⟩ := lt_def.mp h₁,
refine lt_def.mpr ⟨x * y, _, _⟩,
exact mul_pos h₂ l,
ext; simp [mul_add],
end,
lt_of_smul_lt_smul_of_pos := λ z w x h₁ h₂,
begin
obtain ⟨y, l, e⟩ := lt_def.mp h₁,
by_cases h : x = 0,
{ subst h, exfalso, apply lt_irrefl 0 h₂, },
{ refine lt_def.mpr ⟨y / x, div_pos l h₂, _⟩,
replace e := congr_arg (λ z, (x⁻¹ : ℂ) * z) e,
simp only [mul_add, ←mul_assoc, h, one_mul, of_real_eq_zero, smul_coe, ne.def,
not_false_iff, inv_mul_cancel] at e,
convert e,
simp only [div_eq_iff_mul_eq, h, of_real_eq_zero, of_real_div, ne.def, not_false_iff],
norm_cast,
simp [mul_comm _ y, mul_assoc, h],
},
end }
localized "attribute [instance] complex_ordered_module" in complex_order
end
open submodule finite_dimensional
/-- `ℂ` has a basis over `ℝ` given by `1` and `I`. -/
def basis_one_I : basis (fin 2) ℝ ℂ :=
basis.of_equiv_fun
{ to_fun := λ z, ![z.re, z.im],
inv_fun := λ c, c 0 + c 1 • I,
left_inv := λ z, by simp,
right_inv := λ c, by { ext i, fin_cases i; simp },
map_add' := λ z z', by simp,
map_smul' := λ c z, by simp }
@[simp] lemma coe_basis_one_I_repr (z : ℂ) : ⇑(basis_one_I.repr z) = ![z.re, z.im] := rfl
@[simp] lemma coe_basis_one_I : ⇑basis_one_I = ![1, I] :=
funext $ λ i, basis.apply_eq_iff.mpr $ finsupp.ext $ λ j,
by fin_cases i; fin_cases j;
simp only [coe_basis_one_I_repr, finsupp.single_eq_same, finsupp.single_eq_of_ne,
matrix.cons_val_zero, matrix.cons_val_one, matrix.head_cons,
nat.one_ne_zero, fin.one_eq_zero_iff, fin.zero_eq_one_iff, ne.def, not_false_iff,
one_re, one_im, I_re, I_im]
instance : finite_dimensional ℝ ℂ := of_fintype_basis basis_one_I
@[simp] lemma finrank_real_complex : finite_dimensional.finrank ℝ ℂ = 2 :=
by rw [finrank_eq_card_basis basis_one_I, fintype.card_fin]
@[simp] lemma dim_real_complex : module.rank ℝ ℂ = 2 :=
by simp [← finrank_eq_dim, finrank_real_complex]
lemma {u} dim_real_complex' : cardinal.lift.{0 u} (module.rank ℝ ℂ) = 2 :=
by simp [← finrank_eq_dim, finrank_real_complex, bit0]
/-- `fact` version of the dimension of `ℂ` over `ℝ`, locally useful in the definition of the
circle. -/
lemma finrank_real_complex_fact : fact (finrank ℝ ℂ = 2) := ⟨finrank_real_complex⟩
end complex
/- Register as an instance (with low priority) the fact that a complex vector space is also a real
vector space. -/
@[priority 900]
instance module.complex_to_real (E : Type*) [add_comm_group E] [module ℂ E] : module ℝ E :=
restrict_scalars.module ℝ ℂ E
instance module.real_complex_tower (E : Type*) [add_comm_group E] [module ℂ E] :
is_scalar_tower ℝ ℂ E :=
restrict_scalars.is_scalar_tower ℝ ℂ E
@[priority 100]
instance finite_dimensional.complex_to_real (E : Type*) [add_comm_group E] [module ℂ E]
[finite_dimensional ℂ E] : finite_dimensional ℝ E :=
finite_dimensional.trans ℝ ℂ E
lemma dim_real_of_complex (E : Type*) [add_comm_group E] [module ℂ E] :
module.rank ℝ E = 2 * module.rank ℂ E :=
cardinal.lift_inj.1 $
by { rw [← dim_mul_dim' ℝ ℂ E, complex.dim_real_complex], simp [bit0] }
lemma finrank_real_of_complex (E : Type*) [add_comm_group E] [module ℂ E] :
finite_dimensional.finrank ℝ E = 2 * finite_dimensional.finrank ℂ E :=
by rw [← finite_dimensional.finrank_mul_finrank ℝ ℂ E, complex.finrank_real_complex]
namespace complex
/-- Linear map version of the real part function, from `ℂ` to `ℝ`. -/
def re_lm : ℂ →ₗ[ℝ] ℝ :=
{ to_fun := λx, x.re,
map_add' := add_re,
map_smul' := by simp, }
@[simp] lemma re_lm_coe : ⇑re_lm = re := rfl
/-- Linear map version of the imaginary part function, from `ℂ` to `ℝ`. -/
def im_lm : ℂ →ₗ[ℝ] ℝ :=
{ to_fun := λx, x.im,
map_add' := add_im,
map_smul' := by simp, }
@[simp] lemma im_lm_coe : ⇑im_lm = im := rfl
/-- `ℝ`-algebra morphism version of the canonical embedding of `ℝ` in `ℂ`. -/
def of_real_am : ℝ →ₐ[ℝ] ℂ := algebra.of_id ℝ ℂ
@[simp] lemma of_real_am_coe : ⇑of_real_am = coe := rfl
/-- `ℝ`-algebra isomorphism version of the complex conjugation function from `ℂ` to `ℂ` -/
def conj_ae : ℂ ≃ₐ[ℝ] ℂ :=
{ inv_fun := conj,
left_inv := conj_conj,
right_inv := conj_conj,
commutes' := conj_of_real,
.. conj }
@[simp] lemma conj_ae_coe : ⇑conj_ae = conj := rfl
section lift
variables {A : Type*} [ring A] [algebra ℝ A]
/-- There is an alg_hom from `ℂ` to any `ℝ`-algebra with an element that squares to `-1`.
See `complex.lift` for this as an equiv. -/
def lift_aux (I' : A) (hf : I' * I' = -1) : ℂ →ₐ[ℝ] A :=
alg_hom.of_linear_map
((algebra.of_id ℝ A).to_linear_map.comp re_lm + (linear_map.to_span_singleton _ _ I').comp im_lm)
(show algebra_map ℝ A 1 + (0 : ℝ) • I' = 1,
by rw [ring_hom.map_one, zero_smul, add_zero])
(λ ⟨x₁, y₁⟩ ⟨x₂, y₂⟩, show algebra_map ℝ A (x₁ * x₂ - y₁ * y₂) + (x₁ * y₂ + y₁ * x₂) • I'
= (algebra_map ℝ A x₁ + y₁ • I') * (algebra_map ℝ A x₂ + y₂ • I'),
begin
rw [add_mul, mul_add, mul_add, add_comm _ (y₁ • I' * y₂ • I'), add_add_add_comm],
congr' 1, -- equate "real" and "imaginary" parts
{ rw [smul_mul_smul, hf, smul_neg, ←algebra.algebra_map_eq_smul_one, ←sub_eq_add_neg,
←ring_hom.map_mul, ←ring_hom.map_sub], },
{ rw [algebra.smul_def, algebra.smul_def, algebra.smul_def, ←algebra.right_comm _ x₂,
←mul_assoc, ←add_mul, ←ring_hom.map_mul, ←ring_hom.map_mul, ←ring_hom.map_add] }
end)
@[simp]
lemma lift_aux_apply (I' : A) (hI') (z : ℂ) :
lift_aux I' hI' z = algebra_map ℝ A z.re + z.im • I' := rfl
lemma lift_aux_apply_I (I' : A) (hI') : lift_aux I' hI' I = I' := by simp
/-- A universal property of the complex numbers, providing a unique `ℂ →ₐ[ℝ] A` for every element
of `A` which squares to `-1`.
This can be used to embed the complex numbers in the `quaternion`s.
This isomorphism is named to match the very similar `zsqrtd.lift`. -/
@[simps {simp_rhs := tt}]
noncomputable def lift : {I' : A // I' * I' = -1} ≃ (ℂ →ₐ[ℝ] A) :=
{ to_fun := λ I', lift_aux I' I'.prop,
inv_fun := λ F, ⟨F I, by rw [←F.map_mul, I_mul_I, alg_hom.map_neg, alg_hom.map_one]⟩,
left_inv := λ I', subtype.ext $ lift_aux_apply_I I' I'.prop,
right_inv := λ F, alg_hom_ext $ lift_aux_apply_I _ _, }
/- When applied to `complex.I` itself, `lift` is the identity. -/
@[simp]
lemma lift_aux_I : lift_aux I I_mul_I = alg_hom.id ℝ ℂ :=
alg_hom_ext $ lift_aux_apply_I _ _
/- When applied to `-complex.I`, `lift` is conjugation, `conj`. -/
@[simp]
lemma lift_aux_neg_I : lift_aux (-I) ((neg_mul_neg _ _).trans I_mul_I) = conj_ae :=
alg_hom_ext $ (lift_aux_apply_I _ _).trans conj_I.symm
end lift
end complex
|
1c7f186e43fc3e2827178b5eb8cbe6c50d7a6a4a | 2eab05920d6eeb06665e1a6df77b3157354316ad | /src/algebra/group_power/order.lean | c2fe4946e3e03783458c050394bfa5c7c3190b15 | [
"Apache-2.0"
] | permissive | ayush1801/mathlib | 78949b9f789f488148142221606bf15c02b960d2 | ce164e28f262acbb3de6281b3b03660a9f744e3c | refs/heads/master | 1,692,886,907,941 | 1,635,270,866,000 | 1,635,270,866,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 12,635 | lean | /-
Copyright (c) 2015 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Robert Y. Lewis
-/
import algebra.order.ring
import algebra.group_power.basic
/-!
# Lemmas about the interaction of power operations with order
Note that some lemmas are in `algebra/group_power/lemmas.lean` as they import files which
depend on this file.
-/
variables {A G M R : Type*}
section preorder
variables [monoid M] [preorder M] [covariant_class M M (*) (≤)]
@[to_additive nsmul_le_nsmul_of_le_right, mono]
lemma pow_le_pow_of_le_left' [covariant_class M M (function.swap (*)) (≤)]
{a b : M} (hab : a ≤ b) : ∀ i : ℕ, a ^ i ≤ b ^ i
| 0 := by simp
| (k+1) := by { rw [pow_succ, pow_succ],
exact mul_le_mul' hab (pow_le_pow_of_le_left' k) }
attribute [mono] nsmul_le_nsmul_of_le_right
@[to_additive nsmul_nonneg]
theorem one_le_pow_of_one_le' {a : M} (H : 1 ≤ a) : ∀ n : ℕ, 1 ≤ a ^ n
| 0 := by simp
| (k + 1) := by { rw pow_succ, exact one_le_mul H (one_le_pow_of_one_le' k) }
@[to_additive nsmul_nonpos]
theorem pow_le_one' {a : M} (H : a ≤ 1) (n : ℕ) : a ^ n ≤ 1 :=
@one_le_pow_of_one_le' (order_dual M) _ _ _ _ H n
@[to_additive nsmul_le_nsmul]
theorem pow_le_pow' {a : M} {n m : ℕ} (ha : 1 ≤ a) (h : n ≤ m) : a ^ n ≤ a ^ m :=
let ⟨k, hk⟩ := nat.le.dest h in
calc a ^ n ≤ a ^ n * a ^ k : le_mul_of_one_le_right' (one_le_pow_of_one_le' ha _)
... = a ^ m : by rw [← hk, pow_add]
@[to_additive nsmul_le_nsmul_of_nonpos]
theorem pow_le_pow_of_le_one' {a : M} {n m : ℕ} (ha : a ≤ 1) (h : n ≤ m) : a ^ m ≤ a ^ n :=
@pow_le_pow' (order_dual M) _ _ _ _ _ _ ha h
@[to_additive nsmul_pos]
theorem one_lt_pow' {a : M} (ha : 1 < a) {k : ℕ} (hk : k ≠ 0) : 1 < a ^ k :=
begin
rcases nat.exists_eq_succ_of_ne_zero hk with ⟨l, rfl⟩,
clear hk,
induction l with l IH,
{ simpa using ha },
{ rw pow_succ,
exact one_lt_mul' ha IH }
end
@[to_additive nsmul_neg]
theorem pow_lt_one' {a : M} (ha : a < 1) {k : ℕ} (hk : k ≠ 0) : a ^ k < 1 :=
@one_lt_pow' (order_dual M) _ _ _ _ ha k hk
@[to_additive nsmul_lt_nsmul]
theorem pow_lt_pow' [covariant_class M M (*) (<)] {a : M} {n m : ℕ} (ha : 1 < a) (h : n < m) :
a ^ n < a ^ m :=
begin
rcases nat.le.dest h with ⟨k, rfl⟩, clear h,
rw [pow_add, pow_succ', mul_assoc, ← pow_succ],
exact lt_mul_of_one_lt_right' _ (one_lt_pow' ha k.succ_ne_zero)
end
end preorder
section linear_order
variables [monoid M] [linear_order M] [covariant_class M M (*) (≤)]
@[to_additive nsmul_nonneg_iff]
lemma one_le_pow_iff {x : M} {n : ℕ} (hn : n ≠ 0) : 1 ≤ x ^ n ↔ 1 ≤ x :=
⟨le_imp_le_of_lt_imp_lt $ λ h, pow_lt_one' h hn, λ h, one_le_pow_of_one_le' h n⟩
@[to_additive nsmul_nonpos_iff]
lemma pow_le_one_iff {x : M} {n : ℕ} (hn : n ≠ 0) : x ^ n ≤ 1 ↔ x ≤ 1 :=
@one_le_pow_iff (order_dual M) _ _ _ _ _ hn
@[to_additive nsmul_pos_iff]
lemma one_lt_pow_iff {x : M} {n : ℕ} (hn : n ≠ 0) : 1 < x ^ n ↔ 1 < x :=
lt_iff_lt_of_le_iff_le (pow_le_one_iff hn)
@[to_additive nsmul_neg_iff]
lemma pow_lt_one_iff {x : M} {n : ℕ} (hn : n ≠ 0) : x ^ n < 1 ↔ x < 1 :=
lt_iff_lt_of_le_iff_le (one_le_pow_iff hn)
@[to_additive nsmul_eq_zero_iff]
lemma pow_eq_one_iff {x : M} {n : ℕ} (hn : n ≠ 0) : x ^ n = 1 ↔ x = 1 :=
by simp only [le_antisymm_iff, pow_le_one_iff hn, one_le_pow_iff hn]
end linear_order
section group
variables [group G] [preorder G] [covariant_class G G (*) (≤)]
@[to_additive gsmul_nonneg]
theorem one_le_gpow {x : G} (H : 1 ≤ x) {n : ℤ} (hn : 0 ≤ n) :
1 ≤ x ^ n :=
begin
lift n to ℕ using hn,
rw gpow_coe_nat,
apply one_le_pow_of_one_le' H,
end
end group
namespace canonically_ordered_comm_semiring
variables [canonically_ordered_comm_semiring R]
theorem pow_pos {a : R} (H : 0 < a) (n : ℕ) : 0 < a ^ n :=
pos_iff_ne_zero.2 $ pow_ne_zero _ H.ne'
end canonically_ordered_comm_semiring
section ordered_semiring
variable [ordered_semiring R]
@[simp] theorem pow_pos {a : R} (H : 0 < a) : ∀ (n : ℕ), 0 < a ^ n
| 0 := by { nontriviality, rw pow_zero, exact zero_lt_one }
| (n+1) := by { rw pow_succ, exact mul_pos H (pow_pos _) }
@[simp] theorem pow_nonneg {a : R} (H : 0 ≤ a) : ∀ (n : ℕ), 0 ≤ a ^ n
| 0 := by { rw pow_zero, exact zero_le_one}
| (n+1) := by { rw pow_succ, exact mul_nonneg H (pow_nonneg _) }
theorem pow_add_pow_le {x y : R} {n : ℕ} (hx : 0 ≤ x) (hy : 0 ≤ y) (hn : n ≠ 0) :
x ^ n + y ^ n ≤ (x + y) ^ n :=
begin
rcases nat.exists_eq_succ_of_ne_zero hn with ⟨k, rfl⟩,
induction k with k ih, { simp only [pow_one] },
let n := k.succ,
have h1 := add_nonneg (mul_nonneg hx (pow_nonneg hy n)) (mul_nonneg hy (pow_nonneg hx n)),
have h2 := add_nonneg hx hy,
calc x^n.succ + y^n.succ
≤ x*x^n + y*y^n + (x*y^n + y*x^n) :
by { rw [pow_succ _ n, pow_succ _ n], exact le_add_of_nonneg_right h1 }
... = (x+y) * (x^n + y^n) :
by rw [add_mul, mul_add, mul_add, add_comm (y*x^n), ← add_assoc,
← add_assoc, add_assoc (x*x^n) (x*y^n), add_comm (x*y^n) (y*y^n), ← add_assoc]
... ≤ (x+y)^n.succ :
by { rw [pow_succ _ n], exact mul_le_mul_of_nonneg_left (ih (nat.succ_ne_zero k)) h2 }
end
theorem pow_lt_pow_of_lt_left {x y : R} {n : ℕ} (Hxy : x < y) (Hxpos : 0 ≤ x) (Hnpos : 0 < n) :
x ^ n < y ^ n :=
begin
cases lt_or_eq_of_le Hxpos,
{ rw ← tsub_add_cancel_of_le (nat.succ_le_of_lt Hnpos),
induction (n - 1), { simpa only [pow_one] },
rw [pow_add, pow_add, nat.succ_eq_add_one, pow_one, pow_one],
apply mul_lt_mul ih (le_of_lt Hxy) h (le_of_lt (pow_pos (lt_trans h Hxy) _)) },
{ rw [←h, zero_pow Hnpos], apply pow_pos (by rwa ←h at Hxy : 0 < y),}
end
lemma pow_lt_one {a : R} (h₀ : 0 ≤ a) (h₁ : a < 1) {n : ℕ} (hn : n ≠ 0) : a ^ n < 1 :=
(one_pow n).subst (pow_lt_pow_of_lt_left h₁ h₀ (nat.pos_of_ne_zero hn))
theorem strict_mono_on_pow {n : ℕ} (hn : 0 < n) :
strict_mono_on (λ x : R, x ^ n) (set.Ici 0) :=
λ x hx y hy h, pow_lt_pow_of_lt_left h hx hn
theorem one_le_pow_of_one_le {a : R} (H : 1 ≤ a) : ∀ (n : ℕ), 1 ≤ a ^ n
| 0 := by rw [pow_zero]
| (n+1) := by { rw pow_succ, simpa only [mul_one] using mul_le_mul H (one_le_pow_of_one_le n)
zero_le_one (le_trans zero_le_one H) }
lemma pow_mono {a : R} (h : 1 ≤ a) : monotone (λ n : ℕ, a ^ n) :=
monotone_nat_of_le_succ $ λ n,
by { rw pow_succ, exact le_mul_of_one_le_left (pow_nonneg (zero_le_one.trans h) _) h }
theorem pow_le_pow {a : R} {n m : ℕ} (ha : 1 ≤ a) (h : n ≤ m) : a ^ n ≤ a ^ m :=
pow_mono ha h
lemma strict_mono_pow {a : R} (h : 1 < a) : strict_mono (λ n : ℕ, a ^ n) :=
have 0 < a := zero_le_one.trans_lt h,
strict_mono_nat_of_lt_succ $ λ n, by simpa only [one_mul, pow_succ]
using mul_lt_mul h (le_refl (a ^ n)) (pow_pos this _) this.le
lemma pow_lt_pow {a : R} {n m : ℕ} (h : 1 < a) (h2 : n < m) : a ^ n < a ^ m :=
strict_mono_pow h h2
lemma pow_lt_pow_iff {a : R} {n m : ℕ} (h : 1 < a) : a ^ n < a ^ m ↔ n < m :=
(strict_mono_pow h).lt_iff_lt
@[mono] lemma pow_le_pow_of_le_left {a b : R} (ha : 0 ≤ a) (hab : a ≤ b) : ∀ i : ℕ, a^i ≤ b^i
| 0 := by simp
| (k+1) := by { rw [pow_succ, pow_succ],
exact mul_le_mul hab (pow_le_pow_of_le_left _) (pow_nonneg ha _) (le_trans ha hab) }
lemma one_lt_pow {a : R} (ha : 1 < a) : ∀ {n : ℕ}, n ≠ 0 → 1 < a ^ n
| 0 h := (h rfl).elim
| 1 h := (pow_one a).symm.subst ha
| (n + 2) h :=
begin
nontriviality R,
rw [←one_mul (1 : R), pow_succ],
exact mul_lt_mul ha (one_lt_pow (nat.succ_ne_zero _)).le zero_lt_one (zero_lt_one.trans ha).le,
end
lemma pow_le_one {a : R} : ∀ (n : ℕ) (h₀ : 0 ≤ a) (h₁ : a ≤ 1), a ^ n ≤ 1
| 0 h₀ h₁ := (pow_zero a).le
| (n + 1) h₀ h₁ := (pow_succ' a n).le.trans (mul_le_one (pow_le_one n h₀ h₁) h₀ h₁)
end ordered_semiring
section linear_ordered_semiring
variable [linear_ordered_semiring R]
lemma pow_le_one_iff_of_nonneg {a : R} (ha : 0 ≤ a) {n : ℕ} (hn : n ≠ 0) : a ^ n ≤ 1 ↔ a ≤ 1 :=
begin
refine ⟨_, pow_le_one n ha⟩,
rw [←not_lt, ←not_lt],
exact mt (λ h, one_lt_pow h hn),
end
lemma one_le_pow_iff_of_nonneg {a : R} (ha : 0 ≤ a) {n : ℕ} (hn : n ≠ 0) : 1 ≤ a ^ n ↔ 1 ≤ a :=
begin
refine ⟨_, λ h, one_le_pow_of_one_le h n⟩,
rw [←not_lt, ←not_lt],
exact mt (λ h, pow_lt_one ha h hn),
end
lemma one_lt_pow_iff_of_nonneg {a : R} (ha : 0 ≤ a) {n : ℕ} (hn : n ≠ 0) : 1 < a ^ n ↔ 1 < a :=
lt_iff_lt_of_le_iff_le (pow_le_one_iff_of_nonneg ha hn)
lemma pow_lt_one_iff_of_nonneg {a : R} (ha : 0 ≤ a) {n : ℕ} (hn : n ≠ 0) : a ^ n < 1 ↔ a < 1 :=
lt_iff_lt_of_le_iff_le (one_le_pow_iff_of_nonneg ha hn)
lemma sq_le_one_iff {a : R} (ha : 0 ≤ a) : a^2 ≤ 1 ↔ a ≤ 1 :=
pow_le_one_iff_of_nonneg ha (nat.succ_ne_zero _)
lemma sq_lt_one_iff {a : R} (ha : 0 ≤ a) : a^2 < 1 ↔ a < 1 :=
pow_lt_one_iff_of_nonneg ha (nat.succ_ne_zero _)
lemma one_le_sq_iff {a : R} (ha : 0 ≤ a) : 1 ≤ a^2 ↔ 1 ≤ a :=
one_le_pow_iff_of_nonneg ha (nat.succ_ne_zero _)
lemma one_lt_sq_iff {a : R} (ha : 0 ≤ a) : 1 < a^2 ↔ 1 < a :=
one_lt_pow_iff_of_nonneg ha (nat.succ_ne_zero _)
@[simp] theorem pow_left_inj {x y : R} {n : ℕ} (Hxpos : 0 ≤ x) (Hypos : 0 ≤ y) (Hnpos : 0 < n) :
x ^ n = y ^ n ↔ x = y :=
(@strict_mono_on_pow R _ _ Hnpos).inj_on.eq_iff Hxpos Hypos
lemma lt_of_pow_lt_pow {a b : R} (n : ℕ) (hb : 0 ≤ b) (h : a ^ n < b ^ n) : a < b :=
lt_of_not_ge $ λ hn, not_lt_of_ge (pow_le_pow_of_le_left hb hn _) h
lemma le_of_pow_le_pow {a b : R} (n : ℕ) (hb : 0 ≤ b) (hn : 0 < n) (h : a ^ n ≤ b ^ n) : a ≤ b :=
le_of_not_lt $ λ h1, not_le_of_lt (pow_lt_pow_of_lt_left h1 hb hn) h
@[simp] lemma sq_eq_sq {a b : R} (ha : 0 ≤ a) (hb : 0 ≤ b) : a ^ 2 = b ^ 2 ↔ a = b :=
pow_left_inj ha hb dec_trivial
end linear_ordered_semiring
section linear_ordered_ring
variable [linear_ordered_ring R]
lemma pow_abs (a : R) (n : ℕ) : |a| ^ n = |a ^ n| :=
((abs_hom.to_monoid_hom : R →* R).map_pow a n).symm
lemma abs_neg_one_pow (n : ℕ) : |(-1 : R) ^ n| = 1 :=
by rw [←pow_abs, abs_neg, abs_one, one_pow]
theorem pow_bit0_nonneg (a : R) (n : ℕ) : 0 ≤ a ^ bit0 n :=
by { rw pow_bit0, exact mul_self_nonneg _ }
theorem sq_nonneg (a : R) : 0 ≤ a ^ 2 :=
pow_bit0_nonneg a 1
alias sq_nonneg ← pow_two_nonneg
theorem pow_bit0_pos {a : R} (h : a ≠ 0) (n : ℕ) : 0 < a ^ bit0 n :=
(pow_bit0_nonneg a n).lt_of_ne (pow_ne_zero _ h).symm
theorem sq_pos_of_ne_zero (a : R) (h : a ≠ 0) : 0 < a ^ 2 :=
pow_bit0_pos h 1
alias sq_pos_of_ne_zero ← pow_two_pos_of_ne_zero
variables {x y : R}
theorem sq_abs (x : R) : |x| ^ 2 = x ^ 2 :=
by simpa only [sq] using abs_mul_abs_self x
theorem abs_sq (x : R) : |x ^ 2| = x ^ 2 :=
by simpa only [sq] using abs_mul_self x
theorem sq_lt_sq (h : |x| < y) : x ^ 2 < y ^ 2 :=
by simpa only [sq_abs] using pow_lt_pow_of_lt_left h (abs_nonneg x) (1:ℕ).succ_pos
theorem sq_lt_sq' (h1 : -y < x) (h2 : x < y) : x ^ 2 < y ^ 2 :=
sq_lt_sq (abs_lt.mpr ⟨h1, h2⟩)
theorem sq_le_sq (h : |x| ≤ |y|) : x ^ 2 ≤ y ^ 2 :=
by simpa only [sq_abs] using pow_le_pow_of_le_left (abs_nonneg x) h 2
theorem sq_le_sq' (h1 : -y ≤ x) (h2 : x ≤ y) : x ^ 2 ≤ y ^ 2 :=
sq_le_sq (le_trans (abs_le.mpr ⟨h1, h2⟩) (le_abs_self _))
theorem abs_lt_abs_of_sq_lt_sq (h : x^2 < y^2) : |x| < |y| :=
lt_of_pow_lt_pow 2 (abs_nonneg y) $ by rwa [← sq_abs x, ← sq_abs y] at h
theorem abs_lt_of_sq_lt_sq (h : x^2 < y^2) (hy : 0 ≤ y) : |x| < y :=
begin
rw [← abs_of_nonneg hy],
exact abs_lt_abs_of_sq_lt_sq h,
end
theorem abs_lt_of_sq_lt_sq' (h : x^2 < y^2) (hy : 0 ≤ y) : -y < x ∧ x < y :=
abs_lt.mp $ abs_lt_of_sq_lt_sq h hy
theorem abs_le_abs_of_sq_le_sq (h : x^2 ≤ y^2) : |x| ≤ |y| :=
le_of_pow_le_pow 2 (abs_nonneg y) (1:ℕ).succ_pos $ by rwa [← sq_abs x, ← sq_abs y] at h
theorem abs_le_of_sq_le_sq (h : x^2 ≤ y^2) (hy : 0 ≤ y) : |x| ≤ y :=
begin
rw [← abs_of_nonneg hy],
exact abs_le_abs_of_sq_le_sq h,
end
theorem abs_le_of_sq_le_sq' (h : x^2 ≤ y^2) (hy : 0 ≤ y) : -y ≤ x ∧ x ≤ y :=
abs_le.mp $ abs_le_of_sq_le_sq h hy
end linear_ordered_ring
section linear_ordered_comm_ring
variables [linear_ordered_comm_ring R]
/-- Arithmetic mean-geometric mean (AM-GM) inequality for linearly ordered commutative rings. -/
lemma two_mul_le_add_sq (a b : R) : 2 * a * b ≤ a ^ 2 + b ^ 2 :=
sub_nonneg.mp ((sub_add_eq_add_sub _ _ _).subst ((sub_sq a b).subst (sq_nonneg _)))
alias two_mul_le_add_sq ← two_mul_le_add_pow_two
end linear_ordered_comm_ring
|
45c5671a641ac46006209a3cabe998f63f7b9dd5 | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/group_theory/perm/basic.lean | 74bebd24fce77249ebc157cc5e55e82cd8b161b3 | [
"Apache-2.0"
] | permissive | jjgarzella/mathlib | 96a345378c4e0bf26cf604aed84f90329e4896a2 | 395d8716c3ad03747059d482090e2bb97db612c8 | refs/heads/master | 1,686,480,124,379 | 1,625,163,323,000 | 1,625,163,323,000 | 281,190,421 | 2 | 0 | Apache-2.0 | 1,595,268,170,000 | 1,595,268,169,000 | null | UTF-8 | Lean | false | false | 14,920 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Mario Carneiro
-/
import algebra.group.pi
import algebra.group_power
/-!
# The group of permutations (self-equivalences) of a type `α`
This file defines the `group` structure on `equiv.perm α`.
-/
universes u v
namespace equiv
variables {α : Type u} {β : Type v}
namespace perm
instance perm_group : group (perm α) :=
{ mul := λ f g, equiv.trans g f,
one := equiv.refl α,
inv := equiv.symm,
mul_assoc := λ f g h, (trans_assoc _ _ _).symm,
one_mul := trans_refl,
mul_one := refl_trans,
mul_left_inv := trans_symm }
theorem mul_apply (f g : perm α) (x) : (f * g) x = f (g x) :=
equiv.trans_apply _ _ _
theorem one_apply (x) : (1 : perm α) x = x := rfl
@[simp] lemma inv_apply_self (f : perm α) (x) : f⁻¹ (f x) = x := f.symm_apply_apply x
@[simp] lemma apply_inv_self (f : perm α) (x) : f (f⁻¹ x) = x := f.apply_symm_apply x
lemma one_def : (1 : perm α) = equiv.refl α := rfl
lemma mul_def (f g : perm α) : f * g = g.trans f := rfl
lemma inv_def (f : perm α) : f⁻¹ = f.symm := rfl
@[simp] lemma coe_mul (f g : perm α) : ⇑(f * g) = f ∘ g := rfl
@[simp] lemma coe_one : ⇑(1 : perm α) = id := rfl
lemma eq_inv_iff_eq {f : perm α} {x y : α} : x = f⁻¹ y ↔ f x = y := f.eq_symm_apply
lemma inv_eq_iff_eq {f : perm α} {x y : α} : f⁻¹ x = y ↔ x = f y := f.symm_apply_eq
lemma gpow_apply_comm {α : Type*} (σ : equiv.perm α) (m n : ℤ) {x : α} :
(σ ^ m) ((σ ^ n) x) = (σ ^ n) ((σ ^ m) x) :=
by rw [←equiv.perm.mul_apply, ←equiv.perm.mul_apply, gpow_mul_comm]
/-! Lemmas about mixing `perm` with `equiv`. Because we have multiple ways to express
`equiv.refl`, `equiv.symm`, and `equiv.trans`, we want simp lemmas for every combination.
The assumption made here is that if you're using the group structure, you want to preserve it after
simp. -/
@[simp] lemma trans_one {α : Sort*} {β : Type*} (e : α ≃ β) : e.trans (1 : perm β) = e :=
equiv.trans_refl e
@[simp] lemma mul_refl (e : perm α) : e * equiv.refl α = e := equiv.trans_refl e
@[simp] lemma one_symm : (1 : perm α).symm = 1 := equiv.refl_symm
@[simp] lemma refl_inv : (equiv.refl α : perm α)⁻¹ = 1 := equiv.refl_symm
@[simp] lemma one_trans {α : Type*} {β : Sort*} (e : α ≃ β) : (1 : perm α).trans e = e :=
equiv.refl_trans e
@[simp] lemma refl_mul (e : perm α) : equiv.refl α * e = e := equiv.refl_trans e
@[simp] lemma inv_trans (e : perm α) : e⁻¹.trans e = 1 := equiv.symm_trans e
@[simp] lemma mul_symm (e : perm α) : e * e.symm = 1 := equiv.symm_trans e
@[simp] lemma trans_inv (e : perm α) : e.trans e⁻¹ = 1 := equiv.trans_symm e
@[simp] lemma symm_mul (e : perm α) : e.symm * e = 1 := equiv.trans_symm e
/-! Lemmas about `equiv.perm.sum_congr` re-expressed via the group structure. -/
@[simp] lemma sum_congr_mul {α β : Type*} (e : perm α) (f : perm β) (g : perm α) (h : perm β) :
sum_congr e f * sum_congr g h = sum_congr (e * g) (f * h) :=
sum_congr_trans g h e f
@[simp] lemma sum_congr_inv {α β : Type*} (e : perm α) (f : perm β) :
(sum_congr e f)⁻¹ = sum_congr e⁻¹ f⁻¹ :=
sum_congr_symm e f
@[simp] lemma sum_congr_one {α β : Type*} :
sum_congr (1 : perm α) (1 : perm β) = 1 :=
sum_congr_refl
/-- `equiv.perm.sum_congr` as a `monoid_hom`, with its two arguments bundled into a single `prod`.
This is particularly useful for its `monoid_hom.range` projection, which is the subgroup of
permutations which do not exchange elements between `α` and `β`. -/
@[simps]
def sum_congr_hom (α β : Type*) :
perm α × perm β →* perm (α ⊕ β) :=
{ to_fun := λ a, sum_congr a.1 a.2,
map_one' := sum_congr_one,
map_mul' := λ a b, (sum_congr_mul _ _ _ _).symm}
lemma sum_congr_hom_injective {α β : Type*} :
function.injective (sum_congr_hom α β) :=
begin
rintros ⟨⟩ ⟨⟩ h,
rw prod.mk.inj_iff,
split; ext i,
{ simpa using equiv.congr_fun h (sum.inl i), },
{ simpa using equiv.congr_fun h (sum.inr i), },
end
@[simp] lemma sum_congr_swap_one {α β : Type*} [decidable_eq α] [decidable_eq β] (i j : α) :
sum_congr (equiv.swap i j) (1 : perm β) = equiv.swap (sum.inl i) (sum.inl j) :=
sum_congr_swap_refl i j
@[simp] lemma sum_congr_one_swap {α β : Type*} [decidable_eq α] [decidable_eq β] (i j : β) :
sum_congr (1 : perm α) (equiv.swap i j) = equiv.swap (sum.inr i) (sum.inr j) :=
sum_congr_refl_swap i j
/-! Lemmas about `equiv.perm.sigma_congr_right` re-expressed via the group structure. -/
@[simp] lemma sigma_congr_right_mul {α : Type*} {β : α → Type*}
(F : Π a, perm (β a)) (G : Π a, perm (β a)) :
sigma_congr_right F * sigma_congr_right G = sigma_congr_right (F * G) :=
sigma_congr_right_trans G F
@[simp] lemma sigma_congr_right_inv {α : Type*} {β : α → Type*} (F : Π a, perm (β a)) :
(sigma_congr_right F)⁻¹ = sigma_congr_right (λ a, (F a)⁻¹) :=
sigma_congr_right_symm F
@[simp] lemma sigma_congr_right_one {α : Type*} {β : α → Type*} :
(sigma_congr_right (1 : Π a, equiv.perm $ β a)) = 1 :=
sigma_congr_right_refl
/-- `equiv.perm.sigma_congr_right` as a `monoid_hom`.
This is particularly useful for its `monoid_hom.range` projection, which is the subgroup of
permutations which do not exchange elements between fibers. -/
@[simps]
def sigma_congr_right_hom {α : Type*} (β : α → Type*) :
(Π a, perm (β a)) →* perm (Σ a, β a) :=
{ to_fun := sigma_congr_right,
map_one' := sigma_congr_right_one,
map_mul' := λ a b, (sigma_congr_right_mul _ _).symm }
lemma sigma_congr_right_hom_injective {α : Type*} {β : α → Type*} :
function.injective (sigma_congr_right_hom β) :=
begin
intros x y h,
ext a b,
simpa using equiv.congr_fun h ⟨a, b⟩,
end
/-- `equiv.perm.subtype_congr` as a `monoid_hom`. -/
@[simps] def subtype_congr_hom (p : α → Prop) [decidable_pred p] :
(perm {a // p a}) × (perm {a // ¬ p a}) →* perm α :=
{ to_fun := λ pair, perm.subtype_congr pair.fst pair.snd,
map_one' := perm.subtype_congr.refl,
map_mul' := λ _ _, (perm.subtype_congr.trans _ _ _ _).symm }
lemma subtype_congr_hom_injective (p : α → Prop) [decidable_pred p] :
function.injective (subtype_congr_hom p) :=
begin
rintros ⟨⟩ ⟨⟩ h,
rw prod.mk.inj_iff,
split;
ext i;
simpa using equiv.congr_fun h i
end
/-- If `e` is also a permutation, we can write `perm_congr`
completely in terms of the group structure. -/
@[simp] lemma perm_congr_eq_mul (e p : perm α) :
e.perm_congr p = e * p * e⁻¹ := rfl
section extend_domain
/-! Lemmas about `equiv.perm.extend_domain` re-expressed via the group structure. -/
variables (e : perm α) {p : β → Prop} [decidable_pred p] (f : α ≃ subtype p)
@[simp] lemma extend_domain_one : extend_domain 1 f = 1 :=
extend_domain_refl f
@[simp] lemma extend_domain_inv : (e.extend_domain f)⁻¹ = e⁻¹.extend_domain f := rfl
@[simp] lemma extend_domain_mul (e e' : perm α) :
(e.extend_domain f) * (e'.extend_domain f) = (e * e').extend_domain f :=
extend_domain_trans _ _ _
/-- `extend_domain` as a group homomorphism -/
@[simps] def extend_domain_hom : perm α →* perm β :=
{ to_fun := λ e, extend_domain e f,
map_one' := extend_domain_one f,
map_mul' := λ e e', (extend_domain_mul f e e').symm }
lemma extend_domain_hom_injective : function.injective (extend_domain_hom f) :=
((extend_domain_hom f).injective_iff).mpr (λ e he, ext (λ x, f.injective (subtype.ext
((extend_domain_apply_image e f x).symm.trans (ext_iff.mp he (f x))))))
end extend_domain
/-- If the permutation `f` fixes the subtype `{x // p x}`, then this returns the permutation
on `{x // p x}` induced by `f`. -/
def subtype_perm (f : perm α) {p : α → Prop} (h : ∀ x, p x ↔ p (f x)) : perm {x // p x} :=
⟨λ x, ⟨f x, (h _).1 x.2⟩, λ x, ⟨f⁻¹ x, (h (f⁻¹ x)).2 $ by simpa using x.2⟩,
λ _, by simp only [perm.inv_apply_self, subtype.coe_eta, subtype.coe_mk],
λ _, by simp only [perm.apply_inv_self, subtype.coe_eta, subtype.coe_mk]⟩
@[simp] lemma subtype_perm_apply (f : perm α) {p : α → Prop} (h : ∀ x, p x ↔ p (f x))
(x : {x // p x}) : subtype_perm f h x = ⟨f x, (h _).1 x.2⟩ := rfl
@[simp] lemma subtype_perm_one (p : α → Prop) (h : ∀ x, p x ↔ p ((1 : perm α) x)) :
@subtype_perm α 1 p h = 1 :=
equiv.ext $ λ ⟨_, _⟩, rfl
/-- The inclusion map of permutations on a subtype of `α` into permutations of `α`,
fixing the other points. -/
def of_subtype {p : α → Prop} [decidable_pred p] : perm (subtype p) →* perm α :=
{ to_fun := λ f,
⟨λ x, if h : p x then f ⟨x, h⟩ else x, λ x, if h : p x then f⁻¹ ⟨x, h⟩ else x,
λ x, have h : ∀ h : p x, p (f ⟨x, h⟩), from λ h, (f ⟨x, h⟩).2,
by { simp only [], split_ifs at *;
simp only [perm.inv_apply_self, subtype.coe_eta, subtype.coe_mk, not_true, *] at * },
λ x, have h : ∀ h : p x, p (f⁻¹ ⟨x, h⟩), from λ h, (f⁻¹ ⟨x, h⟩).2,
by { simp only [], split_ifs at *;
simp only [perm.apply_inv_self, subtype.coe_eta, subtype.coe_mk, not_true, *] at * }⟩,
map_one' := begin ext, dsimp, split_ifs; refl, end,
map_mul' := λ f g, equiv.ext $ λ x, begin
by_cases h : p x,
{ have h₁ : p (f (g ⟨x, h⟩)), from (f (g ⟨x, h⟩)).2,
have h₂ : p (g ⟨x, h⟩), from (g ⟨x, h⟩).2,
simp only [h, h₂, coe_fn_mk, perm.mul_apply, dif_pos, subtype.coe_eta] },
{ simp only [h, coe_fn_mk, perm.mul_apply, dif_neg, not_false_iff] }
end }
lemma of_subtype_subtype_perm {f : perm α} {p : α → Prop} [decidable_pred p]
(h₁ : ∀ x, p x ↔ p (f x)) (h₂ : ∀ x, f x ≠ x → p x) :
of_subtype (subtype_perm f h₁) = f :=
equiv.ext $ λ x, begin
rw [of_subtype, subtype_perm],
by_cases hx : p x,
{ simp only [hx, coe_fn_mk, dif_pos, monoid_hom.coe_mk, subtype.coe_mk]},
{ haveI := classical.prop_decidable,
simp only [hx, not_not.mp (mt (h₂ x) hx), coe_fn_mk, dif_neg, not_false_iff,
monoid_hom.coe_mk] }
end
lemma of_subtype_apply_of_not_mem {p : α → Prop} [decidable_pred p]
(f : perm (subtype p)) {x : α} (hx : ¬ p x) :
of_subtype f x = x :=
dif_neg hx
lemma of_subtype_apply_coe {p : α → Prop} [decidable_pred p]
(f : perm (subtype p)) (x : subtype p) :
of_subtype f ↑x = ↑(f x) :=
begin
change dite _ _ _ = _,
rw [dif_pos, subtype.coe_eta],
exact x.2,
end
lemma mem_iff_of_subtype_apply_mem {p : α → Prop} [decidable_pred p]
(f : perm (subtype p)) (x : α) :
p x ↔ p ((of_subtype f : α → α) x) :=
if h : p x then by simpa only [of_subtype, h, coe_fn_mk, dif_pos, true_iff, monoid_hom.coe_mk]
using (f ⟨x, h⟩).2
else by simp [h, of_subtype_apply_of_not_mem f h]
@[simp] lemma subtype_perm_of_subtype {p : α → Prop} [decidable_pred p] (f : perm (subtype p)) :
subtype_perm (of_subtype f) (mem_iff_of_subtype_apply_mem f) = f :=
equiv.ext $ λ ⟨x, hx⟩, by { dsimp [subtype_perm, of_subtype],
simp only [show p x, from hx, dif_pos, subtype.coe_eta] }
instance perm_unique {n : Type*} [unique n] : unique (equiv.perm n) :=
{ default := 1,
uniq := λ σ, equiv.ext (λ i, subsingleton.elim _ _) }
@[simp] lemma default_perm {n : Type*} : default (equiv.perm n) = 1 := rfl
variables (e : perm α) (ι : α ↪ β)
open_locale classical
/-- Noncomputable version of `equiv.perm.via_fintype_embedding` that does not assume `fintype` -/
noncomputable def via_embedding : perm β :=
extend_domain e (of_injective ι.1 ι.2)
lemma via_embedding_apply (x : α) : e.via_embedding ι (ι x) = ι (e x) :=
extend_domain_apply_image e (of_injective ι.1 ι.2) x
lemma via_embedding_apply_of_not_mem (x : β) (hx : x ∉ _root_.set.range ι) :
e.via_embedding ι x = x :=
extend_domain_apply_not_subtype e (of_injective ι.1 ι.2) hx
/-- `via_embedding` as a group homomorphism -/
noncomputable def via_embedding_hom : perm α →* perm β:=
extend_domain_hom (of_injective ι.1 ι.2)
lemma via_embedding_hom_apply : via_embedding_hom ι e = via_embedding e ι := rfl
lemma via_embedding_hom_injective : function.injective (via_embedding_hom ι) :=
extend_domain_hom_injective (of_injective ι.1 ι.2)
end perm
section swap
variables [decidable_eq α]
@[simp] lemma swap_inv (x y : α) : (swap x y)⁻¹ = swap x y := rfl
@[simp] lemma swap_mul_self (i j : α) : swap i j * swap i j = 1 := swap_swap i j
lemma swap_mul_eq_mul_swap (f : perm α) (x y : α) : swap x y * f = f * swap (f⁻¹ x) (f⁻¹ y) :=
equiv.ext $ λ z, begin
simp only [perm.mul_apply, swap_apply_def],
split_ifs;
simp only [perm.apply_inv_self, *, perm.eq_inv_iff_eq, eq_self_iff_true, not_true] at *
end
lemma mul_swap_eq_swap_mul (f : perm α) (x y : α) : f * swap x y = swap (f x) (f y) * f :=
by rw [swap_mul_eq_mul_swap, perm.inv_apply_self, perm.inv_apply_self]
lemma swap_apply_apply (f : perm α) (x y : α) : swap (f x) (f y) = f * swap x y * f⁻¹ :=
by rw [mul_swap_eq_swap_mul, mul_inv_cancel_right]
/-- Left-multiplying a permutation with `swap i j` twice gives the original permutation.
This specialization of `swap_mul_self` is useful when using cosets of permutations.
-/
@[simp]
lemma swap_mul_self_mul (i j : α) (σ : perm α) : equiv.swap i j * (equiv.swap i j * σ) = σ :=
by rw [←mul_assoc, swap_mul_self, one_mul]
/-- Right-multiplying a permutation with `swap i j` twice gives the original permutation.
This specialization of `swap_mul_self` is useful when using cosets of permutations.
-/
@[simp]
lemma mul_swap_mul_self (i j : α) (σ : perm α) : (σ * equiv.swap i j) * equiv.swap i j = σ :=
by rw [mul_assoc, swap_mul_self, mul_one]
/-- A stronger version of `mul_right_injective` -/
@[simp]
lemma swap_mul_involutive (i j : α) : function.involutive ((*) (equiv.swap i j)) :=
swap_mul_self_mul i j
/-- A stronger version of `mul_left_injective` -/
@[simp]
lemma mul_swap_involutive (i j : α) : function.involutive (* (equiv.swap i j)) :=
mul_swap_mul_self i j
@[simp] lemma swap_eq_one_iff {i j : α} : swap i j = (1 : perm α) ↔ i = j :=
swap_eq_refl_iff
lemma swap_mul_eq_iff {i j : α} {σ : perm α} : swap i j * σ = σ ↔ i = j :=
⟨(assume h, have swap_id : swap i j = 1 := mul_right_cancel (trans h (one_mul σ).symm),
by {rw [←swap_apply_right i j, swap_id], refl}),
(assume h, by erw [h, swap_self, one_mul])⟩
lemma mul_swap_eq_iff {i j : α} {σ : perm α} : σ * swap i j = σ ↔ i = j :=
⟨(assume h, have swap_id : swap i j = 1 := mul_left_cancel (trans h (one_mul σ).symm),
by {rw [←swap_apply_right i j, swap_id], refl}),
(assume h, by erw [h, swap_self, mul_one])⟩
lemma swap_mul_swap_mul_swap {x y z : α} (hwz: x ≠ y) (hxz : x ≠ z) :
swap y z * swap x y * swap y z = swap z x :=
equiv.ext $ λ n, by { simp only [swap_apply_def, perm.mul_apply], split_ifs; cc }
end swap
end equiv
|
61953d18dbab87cbfd73eb44294819ae4c60b7fd | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/algebra/dual_quaternion.lean | 2937d89336bf2f241d1b79aa2994de149bacba55 | [
"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 | 4,265 | lean | /-
Copyright (c) 2023 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import algebra.dual_number
import algebra.quaternion
/-!
# Dual quaternions
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
Similar to the way that rotations in 3D space can be represented by quaternions of unit length,
rigid motions in 3D space can be represented by dual quaternions of unit length.
## Main results
* `quaternion.dual_number_equiv`: quaternions over dual numbers or dual
numbers over quaternions are equivalent constructions.
## References
* <https://en.wikipedia.org/wiki/Dual_quaternion>
-/
variables {R : Type*} [comm_ring R]
namespace quaternion
/-- The dual quaternions can be equivalently represented as a quaternion with dual coefficients,
or as a dual number with quaternion coefficients.
See also `matrix.dual_number_equiv` for a similar result. -/
def dual_number_equiv :
quaternion (dual_number R) ≃ₐ[R] dual_number (quaternion R) :=
{ to_fun := λ q,
(⟨q.re.fst, q.im_i.fst, q.im_j.fst, q.im_k.fst⟩,
⟨q.re.snd, q.im_i.snd, q.im_j.snd, q.im_k.snd⟩),
inv_fun := λ d,
⟨(d.fst.re, d.snd.re), (d.fst.im_i, d.snd.im_i),
(d.fst.im_j, d.snd.im_j), (d.fst.im_k, d.snd.im_k)⟩,
left_inv := λ ⟨⟨r, rε⟩, ⟨i, iε⟩, ⟨j, jε⟩, ⟨k, kε⟩⟩, rfl,
right_inv := λ ⟨⟨r, i, j, k⟩, ⟨rε, iε, jε, kε⟩⟩, rfl,
map_mul' := begin
rintros ⟨⟨xr, xrε⟩, ⟨xi, xiε⟩, ⟨xj, xjε⟩, ⟨xk, xkε⟩⟩,
rintros ⟨⟨yr, yrε⟩, ⟨yi, yiε⟩, ⟨yj, yjε⟩, ⟨yk, ykε⟩⟩,
ext : 1,
{ refl },
{ dsimp,
congr' 1; ring },
end,
map_add' := begin
rintros ⟨⟨xr, xrε⟩, ⟨xi, xiε⟩, ⟨xj, xjε⟩, ⟨xk, xkε⟩⟩,
rintros ⟨⟨yr, yrε⟩, ⟨yi, yiε⟩, ⟨yj, yjε⟩, ⟨yk, ykε⟩⟩,
refl
end,
commutes' := λ r, rfl }
/-! Lemmas characterizing `quaternion.dual_number_equiv`. -/
-- `simps` can't work on `dual_number` because it's not a structure
@[simp] lemma re_fst_dual_number_equiv (q : quaternion (dual_number R)) :
(dual_number_equiv q).fst.re = q.re.fst := rfl
@[simp] lemma im_i_fst_dual_number_equiv (q : quaternion (dual_number R)) :
(dual_number_equiv q).fst.im_i = q.im_i.fst := rfl
@[simp] lemma im_j_fst_dual_number_equiv (q : quaternion (dual_number R)) :
(dual_number_equiv q).fst.im_j = q.im_j.fst := rfl
@[simp] lemma im_k_fst_dual_number_equiv (q : quaternion (dual_number R)) :
(dual_number_equiv q).fst.im_k = q.im_k.fst := rfl
@[simp] lemma re_snd_dual_number_equiv (q : quaternion (dual_number R)) :
(dual_number_equiv q).snd.re = q.re.snd := rfl
@[simp] lemma im_i_snd_dual_number_equiv (q : quaternion (dual_number R)) :
(dual_number_equiv q).snd.im_i = q.im_i.snd := rfl
@[simp] lemma im_j_snd_dual_number_equiv (q : quaternion (dual_number R)) :
(dual_number_equiv q).snd.im_j = q.im_j.snd := rfl
@[simp] lemma im_k_snd_dual_number_equiv (q : quaternion (dual_number R)) :
(dual_number_equiv q).snd.im_k = q.im_k.snd := rfl
@[simp] lemma fst_re_dual_number_equiv_symm (d : dual_number (quaternion R)) :
(dual_number_equiv.symm d).re.fst = d.fst.re := rfl
@[simp] lemma fst_im_i_dual_number_equiv_symm (d : dual_number (quaternion R)) :
(dual_number_equiv.symm d).im_i.fst = d.fst.im_i := rfl
@[simp] lemma fst_im_j_dual_number_equiv_symm (d : dual_number (quaternion R)) :
(dual_number_equiv.symm d).im_j.fst = d.fst.im_j := rfl
@[simp] lemma fst_im_k_dual_number_equiv_symm (d : dual_number (quaternion R)) :
(dual_number_equiv.symm d).im_k.fst = d.fst.im_k := rfl
@[simp] lemma snd_re_dual_number_equiv_symm (d : dual_number (quaternion R)) :
(dual_number_equiv.symm d).re.snd = d.snd.re := rfl
@[simp] lemma snd_im_i_dual_number_equiv_symm (d : dual_number (quaternion R)) :
(dual_number_equiv.symm d).im_i.snd = d.snd.im_i := rfl
@[simp] lemma snd_im_j_dual_number_equiv_symm (d : dual_number (quaternion R)) :
(dual_number_equiv.symm d).im_j.snd = d.snd.im_j := rfl
@[simp] lemma snd_im_k_dual_number_equiv_symm (d : dual_number (quaternion R)) :
(dual_number_equiv.symm d).im_k.snd = d.snd.im_k := rfl
end quaternion
|
b3529110d8bb5d59b44cb3cd19ecabe0cf9974a8 | 75db7e3219bba2fbf41bf5b905f34fcb3c6ca3f2 | /hott/init/path.hlean | bece16eb69f169119d25bbe0530cfeb895d05465 | [
"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 | 26,172 | hlean | /-
Copyright (c) 2014 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Jakob von Raumer, Floris van Doorn
Ported from Coq HoTT
-/
prelude
import .function .tactic
open function eq
/- Path equality -/
namespace eq
variables {A B C : Type} {P : A → Type} {x y z t : A}
--notation a = b := eq a b
notation x = y `:>`:50 A:49 := @eq A x y
definition idp [reducible] [constructor] {a : A} := refl a
definition idpath [reducible] [constructor] (a : A) := refl a
-- unbased path induction
definition rec' [reducible] [unfold 6] {P : Π (a b : A), (a = b) → Type}
(H : Π (a : A), P a a idp) {a b : A} (p : a = b) : P a b p :=
eq.rec (H a) p
definition rec_on' [reducible] [unfold 5] {P : Π (a b : A), (a = b) → Type}
{a b : A} (p : a = b) (H : Π (a : A), P a a idp) : P a b p :=
eq.rec (H a) p
/- Concatenation and inverse -/
definition concat [trans] [unfold 6] (p : x = y) (q : y = z) : x = z :=
eq.rec (λp', p') q p
definition inverse [symm] [unfold 4] (p : x = y) : y = x :=
eq.rec (refl x) p
infix ⬝ := concat
postfix ⁻¹ := inverse
--a second notation for the inverse, which is not overloaded
postfix [parsing_only] `⁻¹ᵖ`:std.prec.max_plus := inverse
/- The 1-dimensional groupoid structure -/
-- The identity path is a right unit.
definition con_idp [unfold_full] (p : x = y) : p ⬝ idp = p :=
idp
-- The identity path is a right unit.
definition idp_con [unfold 4] (p : x = y) : idp ⬝ p = p :=
eq.rec_on p idp
-- Concatenation is associative.
definition con.assoc' (p : x = y) (q : y = z) (r : z = t) :
p ⬝ (q ⬝ r) = (p ⬝ q) ⬝ r :=
eq.rec_on r (eq.rec_on q idp)
definition con.assoc (p : x = y) (q : y = z) (r : z = t) :
(p ⬝ q) ⬝ r = p ⬝ (q ⬝ r) :=
eq.rec_on r (eq.rec_on q idp)
-- The left inverse law.
definition con.right_inv [unfold 4] (p : x = y) : p ⬝ p⁻¹ = idp :=
eq.rec_on p idp
-- The right inverse law.
definition con.left_inv [unfold 4] (p : x = y) : p⁻¹ ⬝ p = idp :=
eq.rec_on p idp
/- Several auxiliary theorems about canceling inverses across associativity. These are somewhat
redundant, following from earlier theorems. -/
definition inv_con_cancel_left (p : x = y) (q : y = z) : p⁻¹ ⬝ (p ⬝ q) = q :=
eq.rec_on q (eq.rec_on p idp)
definition con_inv_cancel_left (p : x = y) (q : x = z) : p ⬝ (p⁻¹ ⬝ q) = q :=
eq.rec_on q (eq.rec_on p idp)
definition con_inv_cancel_right (p : x = y) (q : y = z) : (p ⬝ q) ⬝ q⁻¹ = p :=
eq.rec_on q (eq.rec_on p idp)
definition inv_con_cancel_right (p : x = z) (q : y = z) : (p ⬝ q⁻¹) ⬝ q = p :=
eq.rec_on q (take p, eq.rec_on p idp) p
-- Inverse distributes over concatenation
definition con_inv (p : x = y) (q : y = z) : (p ⬝ q)⁻¹ = q⁻¹ ⬝ p⁻¹ :=
eq.rec_on q (eq.rec_on p idp)
definition inv_con_inv_left (p : y = x) (q : y = z) : (p⁻¹ ⬝ q)⁻¹ = q⁻¹ ⬝ p :=
eq.rec_on q (eq.rec_on p idp)
-- universe metavariables
definition inv_con_inv_right (p : x = y) (q : z = y) : (p ⬝ q⁻¹)⁻¹ = q ⬝ p⁻¹ :=
eq.rec_on p (take q, eq.rec_on q idp) q
definition inv_con_inv_inv (p : y = x) (q : z = y) : (p⁻¹ ⬝ q⁻¹)⁻¹ = q ⬝ p :=
eq.rec_on p (eq.rec_on q idp)
-- Inverse is an involution.
definition inv_inv (p : x = y) : p⁻¹⁻¹ = p :=
eq.rec_on p idp
-- auxiliary definition used by 'cases' tactic
definition elim_inv_inv {A : Type} {a b : A} {C : a = b → Type} (H₁ : a = b) (H₂ : C (H₁⁻¹⁻¹)) : C H₁ :=
eq.rec_on (inv_inv H₁) H₂
/- Theorems for moving things around in equations -/
definition con_eq_of_eq_inv_con {p : x = z} {q : y = z} {r : y = x} :
p = r⁻¹ ⬝ q → r ⬝ p = q :=
eq.rec_on r (take p h, !idp_con ⬝ h ⬝ !idp_con) p
definition con_eq_of_eq_con_inv [unfold 5] {p : x = z} {q : y = z} {r : y = x} :
r = q ⬝ p⁻¹ → r ⬝ p = q :=
eq.rec_on p (take q h, h) q
definition inv_con_eq_of_eq_con {p : x = z} {q : y = z} {r : x = y} :
p = r ⬝ q → r⁻¹ ⬝ p = q :=
eq.rec_on r (take q h, !idp_con ⬝ h ⬝ !idp_con) q
definition con_inv_eq_of_eq_con [unfold 5] {p : z = x} {q : y = z} {r : y = x} :
r = q ⬝ p → r ⬝ p⁻¹ = q :=
eq.rec_on p (take r h, h) r
definition eq_con_of_inv_con_eq {p : x = z} {q : y = z} {r : y = x} :
r⁻¹ ⬝ q = p → q = r ⬝ p :=
eq.rec_on r (take p h, !idp_con⁻¹ ⬝ h ⬝ !idp_con⁻¹) p
definition eq_con_of_con_inv_eq [unfold 5] {p : x = z} {q : y = z} {r : y = x} :
q ⬝ p⁻¹ = r → q = r ⬝ p :=
eq.rec_on p (take q h, h) q
definition eq_inv_con_of_con_eq {p : x = z} {q : y = z} {r : x = y} :
r ⬝ q = p → q = r⁻¹ ⬝ p :=
eq.rec_on r (take q h, !idp_con⁻¹ ⬝ h ⬝ !idp_con⁻¹) q
definition eq_con_inv_of_con_eq [unfold 5] {p : z = x} {q : y = z} {r : y = x} :
q ⬝ p = r → q = r ⬝ p⁻¹ :=
eq.rec_on p (take r h, h) r
definition eq_of_con_inv_eq_idp [unfold 5] {p q : x = y} : p ⬝ q⁻¹ = idp → p = q :=
eq.rec_on q (take p h, h) p
definition eq_of_inv_con_eq_idp {p q : x = y} : q⁻¹ ⬝ p = idp → p = q :=
eq.rec_on q (take p h, !idp_con⁻¹ ⬝ h) p
definition eq_inv_of_con_eq_idp' [unfold 5] {p : x = y} {q : y = x} : p ⬝ q = idp → p = q⁻¹ :=
eq.rec_on q (take p h, h) p
definition eq_inv_of_con_eq_idp {p : x = y} {q : y = x} : q ⬝ p = idp → p = q⁻¹ :=
eq.rec_on q (take p h, !idp_con⁻¹ ⬝ h) p
definition eq_of_idp_eq_inv_con {p q : x = y} : idp = p⁻¹ ⬝ q → p = q :=
eq.rec_on p (take q h, h ⬝ !idp_con) q
definition eq_of_idp_eq_con_inv [unfold 4] {p q : x = y} : idp = q ⬝ p⁻¹ → p = q :=
eq.rec_on p (take q h, h) q
definition inv_eq_of_idp_eq_con [unfold 4] {p : x = y} {q : y = x} : idp = q ⬝ p → p⁻¹ = q :=
eq.rec_on p (take q h, h) q
definition inv_eq_of_idp_eq_con' {p : x = y} {q : y = x} : idp = p ⬝ q → p⁻¹ = q :=
eq.rec_on p (take q h, h ⬝ !idp_con) q
definition con_inv_eq_idp [unfold 6] {p q : x = y} (r : p = q) : p ⬝ q⁻¹ = idp :=
by cases r;apply con.right_inv
definition inv_con_eq_idp [unfold 6] {p q : x = y} (r : p = q) : q⁻¹ ⬝ p = idp :=
by cases r;apply con.left_inv
definition con_eq_idp {p : x = y} {q : y = x} (r : p = q⁻¹) : p ⬝ q = idp :=
by cases q;exact r
definition idp_eq_inv_con {p q : x = y} (r : p = q) : idp = p⁻¹ ⬝ q :=
by cases r;exact !con.left_inv⁻¹
definition idp_eq_con_inv {p q : x = y} (r : p = q) : idp = q ⬝ p⁻¹ :=
by cases r;exact !con.right_inv⁻¹
definition idp_eq_con {p : x = y} {q : y = x} (r : p⁻¹ = q) : idp = q ⬝ p :=
by cases p;exact r
/- Transport -/
definition transport [subst] [reducible] [unfold 5] (P : A → Type) {x y : A} (p : x = y)
(u : P x) : P y :=
eq.rec_on p u
-- This idiom makes the operation right associative.
infixr ` ▸ ` := transport _
definition cast [reducible] [unfold 3] {A B : Type} (p : A = B) (a : A) : B :=
p ▸ a
definition cast_def [reducible] [unfold_full] {A B : Type} (p : A = B) (a : A)
: cast p a = p ▸ a :=
idp
definition tr_rev [reducible] [unfold 6] (P : A → Type) {x y : A} (p : x = y) (u : P y) : P x :=
p⁻¹ ▸ u
definition ap [unfold 6] ⦃A B : Type⦄ (f : A → B) {x y:A} (p : x = y) : f x = f y :=
eq.rec_on p idp
abbreviation ap01 [parsing_only] := ap
definition homotopy [reducible] (f g : Πx, P x) : Type :=
Πx : A, f x = g x
infix ~ := homotopy
protected definition homotopy.refl [refl] [reducible] [unfold_full] (f : Πx, P x) : f ~ f :=
λ x, idp
protected definition homotopy.symm [symm] [reducible] [unfold_full] {f g : Πx, P x} (H : f ~ g)
: g ~ f :=
λ x, (H x)⁻¹
protected definition homotopy.trans [trans] [reducible] [unfold_full] {f g h : Πx, P x}
(H1 : f ~ g) (H2 : g ~ h) : f ~ h :=
λ x, H1 x ⬝ H2 x
definition homotopy_of_eq {f g : Πx, P x} (H1 : f = g) : f ~ g :=
H1 ▸ homotopy.refl f
definition apd10 [unfold 5] {f g : Πx, P x} (H : f = g) : f ~ g :=
λx, eq.rec_on H idp
--the next theorem is useful if you want to write "apply (apd10' a)"
definition apd10' [unfold 6] {f g : Πx, P x} (a : A) (H : f = g) : f a = g a :=
eq.rec_on H idp
--apd10 is also ap evaluation
definition apd10_eq_ap_eval {f g : Πx, P x} (H : f = g) (a : A)
: apd10 H a = ap (λs : Πx, P x, s a) H :=
eq.rec_on H idp
definition ap10 [reducible] [unfold 5] {f g : A → B} (H : f = g) : f ~ g := apd10 H
definition ap11 {f g : A → B} (H : f = g) {x y : A} (p : x = y) : f x = g y :=
eq.rec_on H (eq.rec_on p idp)
definition apd [unfold 6] (f : Πa, P a) {x y : A} (p : x = y) : p ▸ f x = f y :=
eq.rec_on p idp
/- More theorems for moving things around in equations -/
definition tr_eq_of_eq_inv_tr {P : A → Type} {x y : A} {p : x = y} {u : P x} {v : P y} :
u = p⁻¹ ▸ v → p ▸ u = v :=
eq.rec_on p (take v, id) v
definition inv_tr_eq_of_eq_tr {P : A → Type} {x y : A} {p : y = x} {u : P x} {v : P y} :
u = p ▸ v → p⁻¹ ▸ u = v :=
eq.rec_on p (take u, id) u
definition eq_inv_tr_of_tr_eq {P : A → Type} {x y : A} {p : x = y} {u : P x} {v : P y} :
p ▸ u = v → u = p⁻¹ ▸ v :=
eq.rec_on p (take v, id) v
definition eq_tr_of_inv_tr_eq {P : A → Type} {x y : A} {p : y = x} {u : P x} {v : P y} :
p⁻¹ ▸ u = v → u = p ▸ v :=
eq.rec_on p (take u, id) u
/- Functoriality of functions -/
-- Here we prove that functions behave like functors between groupoids, and that [ap] itself is
-- functorial.
-- Functions take identity paths to identity paths
definition ap_idp [unfold_full] (x : A) (f : A → B) : ap f idp = idp :> (f x = f x) := idp
-- Functions commute with concatenation.
definition ap_con [unfold 8] (f : A → B) {x y z : A} (p : x = y) (q : y = z) :
ap f (p ⬝ q) = ap f p ⬝ ap f q :=
eq.rec_on q idp
definition con_ap_con_eq_con_ap_con_ap (f : A → B) {w x y z : A} (r : f w = f x)
(p : x = y) (q : y = z) : r ⬝ ap f (p ⬝ q) = (r ⬝ ap f p) ⬝ ap f q :=
eq.rec_on q (take p, eq.rec_on p idp) p
definition ap_con_con_eq_ap_con_ap_con (f : A → B) {w x y z : A} (p : x = y) (q : y = z)
(r : f z = f w) : ap f (p ⬝ q) ⬝ r = ap f p ⬝ (ap f q ⬝ r) :=
eq.rec_on q (eq.rec_on p (take r, con.assoc _ _ _)) r
-- Functions commute with path inverses.
definition ap_inv' [unfold 6] (f : A → B) {x y : A} (p : x = y) : (ap f p)⁻¹ = ap f p⁻¹ :=
eq.rec_on p idp
definition ap_inv [unfold 6] (f : A → B) {x y : A} (p : x = y) : ap f p⁻¹ = (ap f p)⁻¹ :=
eq.rec_on p idp
-- [ap] itself is functorial in the first argument.
definition ap_id [unfold 4] (p : x = y) : ap id p = p :=
eq.rec_on p idp
definition ap_compose [unfold 8] (g : B → C) (f : A → B) {x y : A} (p : x = y) :
ap (g ∘ f) p = ap g (ap f p) :=
eq.rec_on p idp
-- Sometimes we don't have the actual function [compose].
definition ap_compose' [unfold 8] (g : B → C) (f : A → B) {x y : A} (p : x = y) :
ap (λa, g (f a)) p = ap g (ap f p) :=
eq.rec_on p idp
-- The action of constant maps.
definition ap_constant [unfold 5] (p : x = y) (z : B) : ap (λu, z) p = idp :=
eq.rec_on p idp
-- Naturality of [ap].
-- see also natural_square in cubical.square
definition ap_con_eq_con_ap {f g : A → B} (p : f ~ g) {x y : A} (q : x = y) :
ap f q ⬝ p y = p x ⬝ ap g q :=
eq.rec_on q !idp_con
-- Naturality of [ap] at identity.
definition ap_con_eq_con {f : A → A} (p : Πx, f x = x) {x y : A} (q : x = y) :
ap f q ⬝ p y = p x ⬝ q :=
eq.rec_on q !idp_con
definition con_ap_eq_con {f : A → A} (p : Πx, x = f x) {x y : A} (q : x = y) :
p x ⬝ ap f q = q ⬝ p y :=
eq.rec_on q !idp_con⁻¹
-- Naturality of [ap] with constant function
definition ap_con_eq {f : A → B} {b : B} (p : Πx, f x = b) {x y : A} (q : x = y) :
ap f q ⬝ p y = p x :=
eq.rec_on q !idp_con
-- Naturality with other paths hanging around.
definition con_ap_con_con_eq_con_con_ap_con {f g : A → B} (p : f ~ g) {x y : A} (q : x = y)
{w z : B} (r : w = f x) (s : g y = z) :
(r ⬝ ap f q) ⬝ (p y ⬝ s) = (r ⬝ p x) ⬝ (ap g q ⬝ s) :=
eq.rec_on s (eq.rec_on q idp)
definition con_ap_con_eq_con_con_ap {f g : A → B} (p : f ~ g) {x y : A} (q : x = y)
{w : B} (r : w = f x) :
(r ⬝ ap f q) ⬝ p y = (r ⬝ p x) ⬝ ap g q :=
eq.rec_on q idp
-- TODO: try this using the simplifier, and compare proofs
definition ap_con_con_eq_con_ap_con {f g : A → B} (p : f ~ g) {x y : A} (q : x = y)
{z : B} (s : g y = z) :
ap f q ⬝ (p y ⬝ s) = p x ⬝ (ap g q ⬝ s) :=
eq.rec_on s (eq.rec_on q
(calc
(ap f idp) ⬝ (p x ⬝ idp) = idp ⬝ p x : idp
... = p x : !idp_con
... = (p x) ⬝ (ap g idp ⬝ idp) : idp))
-- This also works:
-- eq.rec_on s (eq.rec_on q (!idp_con ▸ idp))
definition con_ap_con_con_eq_con_con_con {f : A → A} (p : f ~ id) {x y : A} (q : x = y)
{w z : A} (r : w = f x) (s : y = z) :
(r ⬝ ap f q) ⬝ (p y ⬝ s) = (r ⬝ p x) ⬝ (q ⬝ s) :=
eq.rec_on s (eq.rec_on q idp)
definition con_con_ap_con_eq_con_con_con {g : A → A} (p : id ~ g) {x y : A} (q : x = y)
{w z : A} (r : w = x) (s : g y = z) :
(r ⬝ p x) ⬝ (ap g q ⬝ s) = (r ⬝ q) ⬝ (p y ⬝ s) :=
eq.rec_on s (eq.rec_on q idp)
definition con_ap_con_eq_con_con {f : A → A} (p : f ~ id) {x y : A} (q : x = y)
{w : A} (r : w = f x) :
(r ⬝ ap f q) ⬝ p y = (r ⬝ p x) ⬝ q :=
eq.rec_on q idp
definition ap_con_con_eq_con_con {f : A → A} (p : f ~ id) {x y : A} (q : x = y)
{z : A} (s : y = z) :
ap f q ⬝ (p y ⬝ s) = p x ⬝ (q ⬝ s) :=
eq.rec_on s (eq.rec_on q (!idp_con ▸ idp))
definition con_con_ap_eq_con_con {g : A → A} (p : id ~ g) {x y : A} (q : x = y)
{w : A} (r : w = x) :
(r ⬝ p x) ⬝ ap g q = (r ⬝ q) ⬝ p y :=
begin cases q, exact idp end
definition con_ap_con_eq_con_con' {g : A → A} (p : id ~ g) {x y : A} (q : x = y)
{z : A} (s : g y = z) :
p x ⬝ (ap g q ⬝ s) = q ⬝ (p y ⬝ s) :=
begin
apply (eq.rec_on s),
apply (eq.rec_on q),
apply (idp_con (p x) ▸ idp)
end
/- Action of [apd10] and [ap10] on paths -/
-- Application of paths between functions preserves the groupoid structure
definition apd10_idp (f : Πx, P x) (x : A) : apd10 (refl f) x = idp := idp
definition apd10_con {f f' f'' : Πx, P x} (h : f = f') (h' : f' = f'') (x : A) :
apd10 (h ⬝ h') x = apd10 h x ⬝ apd10 h' x :=
eq.rec_on h (take h', eq.rec_on h' idp) h'
definition apd10_inv {f g : Πx : A, P x} (h : f = g) (x : A) :
apd10 h⁻¹ x = (apd10 h x)⁻¹ :=
eq.rec_on h idp
definition ap10_idp {f : A → B} (x : A) : ap10 (refl f) x = idp := idp
definition ap10_con {f f' f'' : A → B} (h : f = f') (h' : f' = f'') (x : A) :
ap10 (h ⬝ h') x = ap10 h x ⬝ ap10 h' x := apd10_con h h' x
definition ap10_inv {f g : A → B} (h : f = g) (x : A) : ap10 h⁻¹ x = (ap10 h x)⁻¹ :=
apd10_inv h x
-- [ap10] also behaves nicely on paths produced by [ap]
definition ap_ap10 (f g : A → B) (h : B → C) (p : f = g) (a : A) :
ap h (ap10 p a) = ap10 (ap (λ f', h ∘ f') p) a:=
eq.rec_on p idp
/- Transport and the groupoid structure of paths -/
definition idp_tr {P : A → Type} {x : A} (u : P x) : idp ▸ u = u := idp
definition con_tr [unfold 7] {P : A → Type} {x y z : A} (p : x = y) (q : y = z) (u : P x) :
p ⬝ q ▸ u = q ▸ p ▸ u :=
eq.rec_on q idp
definition tr_inv_tr {P : A → Type} {x y : A} (p : x = y) (z : P y) :
p ▸ p⁻¹ ▸ z = z :=
(con_tr p⁻¹ p z)⁻¹ ⬝ ap (λr, transport P r z) (con.left_inv p)
definition inv_tr_tr {P : A → Type} {x y : A} (p : x = y) (z : P x) :
p⁻¹ ▸ p ▸ z = z :=
(con_tr p p⁻¹ z)⁻¹ ⬝ ap (λr, transport P r z) (con.right_inv p)
definition con_tr_lemma {P : A → Type}
{x y z w : A} (p : x = y) (q : y = z) (r : z = w) (u : P x) :
ap (λe, e ▸ u) (con.assoc' p q r) ⬝ (con_tr (p ⬝ q) r u) ⬝
ap (transport P r) (con_tr p q u)
= (con_tr p (q ⬝ r) u) ⬝ (con_tr q r (p ▸ u))
:> ((p ⬝ (q ⬝ r)) ▸ u = r ▸ q ▸ p ▸ u) :=
eq.rec_on r (eq.rec_on q (eq.rec_on p idp))
-- Here is another coherence lemma for transport.
definition tr_inv_tr_lemma {P : A → Type} {x y : A} (p : x = y) (z : P x) :
tr_inv_tr p (transport P p z) = ap (transport P p) (inv_tr_tr p z) :=
eq.rec_on p idp
/- some properties for apd -/
definition apd_idp (x : A) (f : Πx, P x) : apd f idp = idp :> (f x = f x) := idp
definition apd_con (f : Πx, P x) {x y z : A} (p : x = y) (q : y = z)
: apd f (p ⬝ q) = con_tr p q (f x) ⬝ ap (transport P q) (apd f p) ⬝ apd f q :=
by cases p;cases q;apply idp
definition apd_inv (f : Πx, P x) {x y : A} (p : x = y)
: apd f p⁻¹ = (eq_inv_tr_of_tr_eq (apd f p))⁻¹ :=
by cases p;apply idp
-- Dependent transport in a doubly dependent type.
definition transportD [unfold 6] {P : A → Type} (Q : Πa, P a → Type)
{a a' : A} (p : a = a') (b : P a) (z : Q a b) : Q a' (p ▸ b) :=
eq.rec_on p z
-- In Coq the variables P, Q and b are explicit, but in Lean we can probably have them implicit
-- using the following notation
notation p ` ▸D `:65 x:64 := transportD _ p _ x
-- Transporting along higher-dimensional paths
definition transport2 [unfold 7] (P : A → Type) {x y : A} {p q : x = y} (r : p = q) (z : P x) :
p ▸ z = q ▸ z :=
ap (λp', p' ▸ z) r
notation p ` ▸2 `:65 x:64 := transport2 _ p _ x
-- An alternative definition.
definition tr2_eq_ap10 (Q : A → Type) {x y : A} {p q : x = y} (r : p = q)
(z : Q x) :
transport2 Q r z = ap10 (ap (transport Q) r) z :=
eq.rec_on r idp
definition tr2_con {P : A → Type} {x y : A} {p1 p2 p3 : x = y}
(r1 : p1 = p2) (r2 : p2 = p3) (z : P x) :
transport2 P (r1 ⬝ r2) z = transport2 P r1 z ⬝ transport2 P r2 z :=
eq.rec_on r1 (eq.rec_on r2 idp)
definition tr2_inv (Q : A → Type) {x y : A} {p q : x = y} (r : p = q) (z : Q x) :
transport2 Q r⁻¹ z = (transport2 Q r z)⁻¹ :=
eq.rec_on r idp
definition transportD2 [unfold 7] (B C : A → Type) (D : Π(a:A), B a → C a → Type)
{x1 x2 : A} (p : x1 = x2) (y : B x1) (z : C x1) (w : D x1 y z) : D x2 (p ▸ y) (p ▸ z) :=
eq.rec_on p w
notation p ` ▸D2 `:65 x:64 := transportD2 _ _ _ p _ _ x
definition ap_tr_con_tr2 (P : A → Type) {x y : A} {p q : x = y} {z w : P x} (r : p = q)
(s : z = w) :
ap (transport P p) s ⬝ transport2 P r w = transport2 P r z ⬝ ap (transport P q) s :=
eq.rec_on r !idp_con⁻¹
definition fn_tr_eq_tr_fn {P Q : A → Type} {x y : A} (p : x = y) (f : Πx, P x → Q x) (z : P x) :
f y (p ▸ z) = (p ▸ (f x z)) :=
eq.rec_on p idp
/- Transporting in particular fibrations -/
/-
From the Coq HoTT library:
One frequently needs lemmas showing that transport in a certain dependent type is equal to some
more explicitly defined operation, defined according to the structure of that dependent type.
For most dependent types, we prove these lemmas in the appropriate file in the types/
subdirectory. Here we consider only the most basic cases.
-/
-- Transporting in a constant fibration.
definition tr_constant (p : x = y) (z : B) : transport (λx, B) p z = z :=
eq.rec_on p idp
definition tr2_constant {p q : x = y} (r : p = q) (z : B) :
tr_constant p z = transport2 (λu, B) r z ⬝ tr_constant q z :=
eq.rec_on r !idp_con⁻¹
-- Transporting in a pulled back fibration.
definition tr_compose (P : B → Type) (f : A → B) (p : x = y) (z : P (f x)) :
transport (P ∘ f) p z = transport P (ap f p) z :=
eq.rec_on p idp
definition ap_precompose (f : A → B) (g g' : B → C) (p : g = g') :
ap (λh, h ∘ f) p = transport (λh : B → C, g ∘ f = h ∘ f) p idp :=
eq.rec_on p idp
definition apd10_ap_precompose (f : A → B) (g g' : B → C) (p : g = g') :
apd10 (ap (λh : B → C, h ∘ f) p) = λa, apd10 p (f a) :=
eq.rec_on p idp
definition apd10_ap_precompose_dependent {C : B → Type}
(f : A → B) {g g' : Πb : B, C b} (p : g = g')
: apd10 (ap (λ(h : (Πb : B, C b))(a : A), h (f a)) p) = λa, apd10 p (f a) :=
eq.rec_on p idp
definition apd10_ap_postcompose (f : B → C) (g g' : A → B) (p : g = g') :
apd10 (ap (λh : A → B, f ∘ h) p) = λa, ap f (apd10 p a) :=
eq.rec_on p idp
-- A special case of [tr_compose] which seems to come up a lot.
definition tr_eq_cast_ap {P : A → Type} {x y} (p : x = y) (u : P x) : p ▸ u = cast (ap P p) u :=
eq.rec_on p idp
definition tr_eq_cast_ap_fn {P : A → Type} {x y} (p : x = y) : transport P p = cast (ap P p) :=
eq.rec_on p idp
/- The behavior of [ap] and [apd] -/
-- In a constant fibration, [apd] reduces to [ap], modulo [transport_const].
definition apd_eq_tr_constant_con_ap (f : A → B) (p : x = y) :
apd f p = tr_constant p (f x) ⬝ ap f p :=
eq.rec_on p idp
/- The 2-dimensional groupoid structure -/
-- Horizontal composition of 2-dimensional paths.
definition concat2 [unfold 9 10] {p p' : x = y} {q q' : y = z} (h : p = p') (h' : q = q')
: p ⬝ q = p' ⬝ q' :=
eq.rec_on h (eq.rec_on h' idp)
-- 2-dimensional path inversion
definition inverse2 [unfold 6] {p q : x = y} (h : p = q) : p⁻¹ = q⁻¹ :=
eq.rec_on h idp
infixl ` ◾ `:75 := concat2
postfix [parsing_only] `⁻²`:(max+10) := inverse2 --this notation is abusive, should we use it?
/- Whiskering -/
definition whisker_left [unfold 8] (p : x = y) {q r : y = z} (h : q = r) : p ⬝ q = p ⬝ r :=
idp ◾ h
definition whisker_right [unfold 7] {p q : x = y} (h : p = q) (r : y = z) : p ⬝ r = q ⬝ r :=
h ◾ idp
-- Unwhiskering, a.k.a. cancelling
definition cancel_left {x y z : A} {p : x = y} {q r : y = z} : (p ⬝ q = p ⬝ r) → (q = r) :=
λs, !inv_con_cancel_left⁻¹ ⬝ whisker_left p⁻¹ s ⬝ !inv_con_cancel_left
definition cancel_right {x y z : A} {p q : x = y} {r : y = z} : (p ⬝ r = q ⬝ r) → (p = q) :=
λs, !con_inv_cancel_right⁻¹ ⬝ whisker_right s r⁻¹ ⬝ !con_inv_cancel_right
-- Whiskering and identity paths.
definition whisker_right_idp {p q : x = y} (h : p = q) :
whisker_right h idp = h :=
eq.rec_on h (eq.rec_on p idp)
definition whisker_right_idp_left [unfold_full] (p : x = y) (q : y = z) :
whisker_right idp q = idp :> (p ⬝ q = p ⬝ q) :=
idp
definition whisker_left_idp_right [unfold_full] (p : x = y) (q : y = z) :
whisker_left p idp = idp :> (p ⬝ q = p ⬝ q) :=
idp
definition whisker_left_idp {p q : x = y} (h : p = q) :
(idp_con p) ⁻¹ ⬝ whisker_left idp h ⬝ idp_con q = h :=
eq.rec_on h (eq.rec_on p idp)
definition con2_idp [unfold_full] {p q : x = y} (h : p = q) :
h ◾ idp = whisker_right h idp :> (p ⬝ idp = q ⬝ idp) :=
idp
definition idp_con2 [unfold_full] {p q : x = y} (h : p = q) :
idp ◾ h = whisker_left idp h :> (idp ⬝ p = idp ⬝ q) :=
idp
-- The interchange law for concatenation.
definition con2_con_con2 {p p' p'' : x = y} {q q' q'' : y = z}
(a : p = p') (b : p' = p'') (c : q = q') (d : q' = q'') :
(a ◾ c) ⬝ (b ◾ d) = (a ⬝ b) ◾ (c ⬝ d) :=
eq.rec_on d (eq.rec_on c (eq.rec_on b (eq.rec_on a idp)))
definition whisker_right_con_whisker_left {x y z : A} {p p' : x = y} {q q' : y = z}
(a : p = p') (b : q = q') :
(whisker_right a q) ⬝ (whisker_left p' b) = (whisker_left p b) ⬝ (whisker_right a q') :=
eq.rec_on b (eq.rec_on a !idp_con⁻¹)
-- Structure corresponding to the coherence equations of a bicategory.
-- The "pentagonator": the 3-cell witnessing the associativity pentagon.
definition pentagon {v w x y z : A} (p : v = w) (q : w = x) (r : x = y) (s : y = z) :
whisker_left p (con.assoc' q r s)
⬝ con.assoc' p (q ⬝ r) s
⬝ whisker_right (con.assoc' p q r) s
= con.assoc' p q (r ⬝ s) ⬝ con.assoc' (p ⬝ q) r s :=
by induction s;induction r;induction q;induction p;reflexivity
-- The 3-cell witnessing the left unit triangle.
definition triangulator (p : x = y) (q : y = z) :
con.assoc' p idp q ⬝ whisker_right (con_idp p) q = whisker_left p (idp_con q) :=
eq.rec_on q (eq.rec_on p idp)
definition eckmann_hilton {x:A} (p q : idp = idp :> x = x) : p ⬝ q = q ⬝ p :=
(!whisker_right_idp ◾ !whisker_left_idp)⁻¹
⬝ whisker_left _ !idp_con
⬝ !whisker_right_con_whisker_left
⬝ whisker_right !idp_con⁻¹ _
⬝ (!whisker_left_idp ◾ !whisker_right_idp)
-- The action of functions on 2-dimensional paths
definition ap02 [unfold 8] [reducible] (f : A → B) {x y : A} {p q : x = y} (r : p = q)
: ap f p = ap f q :=
ap (ap f) r
definition ap02_con (f : A → B) {x y : A} {p p' p'' : x = y} (r : p = p') (r' : p' = p'') :
ap02 f (r ⬝ r') = ap02 f r ⬝ ap02 f r' :=
eq.rec_on r (eq.rec_on r' idp)
definition ap02_con2 (f : A → B) {x y z : A} {p p' : x = y} {q q' :y = z} (r : p = p')
(s : q = q') :
ap02 f (r ◾ s) = ap_con f p q
⬝ (ap02 f r ◾ ap02 f s)
⬝ (ap_con f p' q')⁻¹ :=
eq.rec_on r (eq.rec_on s (eq.rec_on q (eq.rec_on p idp)))
definition apd02 [unfold 8] {p q : x = y} (f : Π x, P x) (r : p = q) :
apd f p = transport2 P r (f x) ⬝ apd f q :=
eq.rec_on r !idp_con⁻¹
-- And now for a lemma whose statement is much longer than its proof.
definition apd02_con {P : A → Type} (f : Π x:A, P x) {x y : A}
{p1 p2 p3 : x = y} (r1 : p1 = p2) (r2 : p2 = p3) :
apd02 f (r1 ⬝ r2) = apd02 f r1
⬝ whisker_left (transport2 P r1 (f x)) (apd02 f r2)
⬝ con.assoc' _ _ _
⬝ (whisker_right (tr2_con r1 r2 (f x))⁻¹ (apd f p3)) :=
eq.rec_on r2 (eq.rec_on r1 (eq.rec_on p1 idp))
end eq
|
1d311ec4b05b52b3b72de9d8907397c87b6dec6a | d642a6b1261b2cbe691e53561ac777b924751b63 | /src/algebra/group/hom.lean | 18a9c1a4c91eb95174a866a61ff99961795de79b | [
"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 | 14,370 | lean | /-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Kevin Buzzard, Scott Morrison, Johan Commelin, Chris Hughes,
Johannes Hölzl, Yury Kudryashov
Homomorphisms of multiplicative and additive (semi)groups and monoids.
-/
import algebra.group.to_additive algebra.group.basic
/-!
# monoid and group homomorphisms
This file defines the basic structures for monoid and group
homomorphisms, both unbundled (e.g. `is_monoid_hom f`) and bundled
(e.g. `monoid_hom M N`, a.k.a. `M →* N`). The unbundled ones are deprecated
and the plan is to slowly remove them from mathlib.
## main definitions
monoid_hom, is_monoid_hom (deprecated), is_group_hom (deprecated)
## Notations
→* for bundled monoid homs (also use for group homs)
→+ for bundled add_monoid homs (also use for add_group homs)
## implementation notes
There's a coercion from bundled homs to fun, and the canonical
notation is to use the bundled hom as a function via this coercion.
There is no `group_hom` -- the idea is that `monoid_hom` is used.
The constructor for `monoid_hom` needs a proof of `map_one` as well
as `map_mul`; a separate constructor `monoid_hom.mk'` will construct
group homs (i.e. monoid homs between groups) given only a proof
that multiplication is preserved,
Throughout the `monoid_hom` section implicit `{}` brackets are often used instead of type class `[]` brackets.
This is done when the instances can be inferred because they are implicit arguments to the type `monoid_hom`.
When they can be inferred from the type it is faster to use this method than to use type class inference.
## Tags
is_group_hom, is_monoid_hom, monoid_hom
-/
universes u v
variables {α : Type u} {β : Type v}
/-- Predicate for maps which preserve an addition. -/
class is_add_hom {α β : Type*} [has_add α] [has_add β] (f : α → β) : Prop :=
(map_add : ∀ x y, f (x + y) = f x + f y)
/-- Predicate for maps which preserve a multiplication. -/
@[to_additive]
class is_mul_hom {α β : Type*} [has_mul α] [has_mul β] (f : α → β) : Prop :=
(map_mul : ∀ x y, f (x * y) = f x * f y)
namespace is_mul_hom
variables [has_mul α] [has_mul β] {γ : Type*} [has_mul γ]
/-- The identity map preserves multiplication. -/
@[to_additive "The identity map preserves addition"]
instance id : is_mul_hom (id : α → α) := {map_mul := λ _ _, rfl}
/-- The composition of maps which preserve multiplication, also preserves multiplication. -/
@[to_additive "The composition of addition preserving maps also preserves addition"]
instance comp (f : α → β) (g : β → γ) [is_mul_hom f] [hg : is_mul_hom g] : is_mul_hom (g ∘ f) :=
{ map_mul := λ x y, by simp only [function.comp, map_mul f, map_mul g] }
/-- A product of maps which preserve multiplication,
preserves multiplication when the target is commutative. -/
@[instance, to_additive]
lemma mul {α β} [semigroup α] [comm_semigroup β]
(f g : α → β) [is_mul_hom f] [is_mul_hom g] :
is_mul_hom (λa, f a * g a) :=
{ map_mul := assume a b, by simp only [map_mul f, map_mul g, mul_comm, mul_assoc, mul_left_comm] }
/-- The inverse of a map which preserves multiplication,
preserves multiplication when the target is commutative. -/
@[instance, to_additive]
lemma inv {α β} [has_mul α] [comm_group β] (f : α → β) [is_mul_hom f] :
is_mul_hom (λa, (f a)⁻¹) :=
{ map_mul := assume a b, (map_mul f a b).symm ▸ mul_inv _ _ }
end is_mul_hom
/-- Predicate for add_monoid homomorphisms (deprecated -- use the bundled `monoid_hom` version). -/
class is_add_monoid_hom [add_monoid α] [add_monoid β] (f : α → β) extends is_add_hom f : Prop :=
(map_zero : f 0 = 0)
/-- Predicate for monoid homomorphisms (deprecated -- use the bundled `monoid_hom` version). -/
@[to_additive is_add_monoid_hom]
class is_monoid_hom [monoid α] [monoid β] (f : α → β) extends is_mul_hom f : Prop :=
(map_one : f 1 = 1)
namespace is_monoid_hom
variables [monoid α] [monoid β] (f : α → β) [is_monoid_hom f]
/-- A monoid homomorphism preserves multiplication. -/
@[to_additive]
lemma map_mul (x y) : f (x * y) = f x * f y :=
is_mul_hom.map_mul f x y
end is_monoid_hom
/-- A map to a group preserving multiplication is a monoid homomorphism. -/
@[to_additive]
theorem is_monoid_hom.of_mul [monoid α] [group β] (f : α → β) [is_mul_hom f] :
is_monoid_hom f :=
{ map_one := mul_self_iff_eq_one.1 $ by rw [← is_mul_hom.map_mul f, one_mul] }
namespace is_monoid_hom
variables [monoid α] [monoid β] (f : α → β) [is_monoid_hom f]
/-- The identity map is a monoid homomorphism. -/
@[to_additive]
instance id : is_monoid_hom (@id α) := { map_one := rfl }
/-- The composite of two monoid homomorphisms is a monoid homomorphism. -/
@[to_additive]
instance comp {γ} [monoid γ] (g : β → γ) [is_monoid_hom g] :
is_monoid_hom (g ∘ f) :=
{ map_one := show g _ = 1, by rw [map_one f, map_one g] }
end is_monoid_hom
namespace is_add_monoid_hom
/-- Left multiplication in a ring is an additive monoid morphism. -/
instance is_add_monoid_hom_mul_left {γ : Type*} [semiring γ] (x : γ) :
is_add_monoid_hom (λ y : γ, x * y) :=
{ map_zero := mul_zero x, map_add := λ y z, mul_add x y z }
/-- Right multiplication in a ring is an additive monoid morphism. -/
instance is_add_monoid_hom_mul_right {γ : Type*} [semiring γ] (x : γ) :
is_add_monoid_hom (λ y : γ, y * x) :=
{ map_zero := zero_mul x, map_add := λ y z, add_mul y z x }
end is_add_monoid_hom
/-- Predicate for additive group homomorphism (deprecated -- use bundled `monoid_hom`). -/
class is_add_group_hom [add_group α] [add_group β] (f : α → β) extends is_add_hom f : Prop
/-- Predicate for group homomorphisms (deprecated -- use bundled `monoid_hom`). -/
@[to_additive is_add_group_hom]
class is_group_hom [group α] [group β] (f : α → β) extends is_mul_hom f : Prop
/-- Construct `is_group_hom` from its only hypothesis. The default constructor tries to get
`is_mul_hom` from class instances, and this makes some proofs fail. -/
@[to_additive]
lemma is_group_hom.mk' [group α] [group β] {f : α → β} (hf : ∀ x y, f (x * y) = f x * f y) :
is_group_hom f :=
{ map_mul := hf }
namespace is_group_hom
variables [group α] [group β] (f : α → β) [is_group_hom f]
open is_mul_hom (map_mul)
/-- A group homomorphism is a monoid homomorphism. -/
@[to_additive to_is_add_monoid_hom]
instance to_is_monoid_hom : is_monoid_hom f :=
is_monoid_hom.of_mul f
/-- A group homomorphism sends 1 to 1. -/
@[to_additive]
lemma map_one : f 1 = 1 := is_monoid_hom.map_one f
/-- A group homomorphism sends inverses to inverses. -/
@[to_additive]
theorem map_inv (a : α) : f a⁻¹ = (f a)⁻¹ :=
eq_inv_of_mul_eq_one $ by rw [← map_mul f, inv_mul_self, map_one f]
/-- The identity is a group homomorphism. -/
@[to_additive]
instance id : is_group_hom (@id α) := { }
/-- The composition of two group homomomorphisms is a group homomorphism. -/
@[to_additive]
instance comp {γ} [group γ] (g : β → γ) [is_group_hom g] : is_group_hom (g ∘ f) := { }
/-- A group homomorphism is injective iff its kernel is trivial. -/
@[to_additive]
lemma injective_iff (f : α → β) [is_group_hom f] :
function.injective f ↔ (∀ a, f a = 1 → a = 1) :=
⟨λ h _, by rw ← is_group_hom.map_one f; exact @h _ _,
λ h x y hxy, by rw [← inv_inv (f x), inv_eq_iff_mul_eq_one, ← map_inv f,
← map_mul f] at hxy;
simpa using inv_eq_of_mul_eq_one (h _ hxy)⟩
/-- The product of group homomorphisms is a group homomorphism if the target is commutative. -/
@[instance, to_additive]
lemma mul {α β} [group α] [comm_group β]
(f g : α → β) [is_group_hom f] [is_group_hom g] :
is_group_hom (λa, f a * g a) :=
{ }
/-- The inverse of a group homomorphism is a group homomorphism if the target is commutative. -/
@[instance, to_additive]
lemma inv {α β} [group α] [comm_group β] (f : α → β) [is_group_hom f] :
is_group_hom (λa, (f a)⁻¹) :=
{ }
end is_group_hom
/-- Inversion is a group homomorphism if the group is commutative. -/
@[instance, to_additive is_add_group_hom]
lemma inv.is_group_hom [comm_group α] : is_group_hom (has_inv.inv : α → α) :=
{ map_mul := mul_inv }
namespace is_add_group_hom
variables [add_group α] [add_group β] (f : α → β) [is_add_group_hom f]
/-- Additive group homomorphisms commute with subtraction. -/
lemma map_sub (a b) : f (a - b) = f a - f b :=
calc f (a + -b) = f a + f (-b) : is_add_hom.map_add f _ _
... = f a + -f b : by rw [map_neg f]
end is_add_group_hom
/-- The difference of two additive group homomorphisms is an additive group
homomorphism if the target is commutative. -/
@[instance]
lemma is_add_group_hom.sub {α β} [add_group α] [add_comm_group β]
(f g : α → β) [is_add_group_hom f] [is_add_group_hom g] :
is_add_group_hom (λa, f a - g a) :=
is_add_group_hom.add f (λa, - g a)
/-- Bundled add_monoid homomorphisms; use this for bundled add_group homomorphisms too. -/
structure add_monoid_hom (M : Type*) (N : Type*) [add_monoid M] [add_monoid N] :=
(to_fun : M → N)
(map_zero' : to_fun 0 = 0)
(map_add' : ∀ x y, to_fun (x + y) = to_fun x + to_fun y)
infixr ` →+ `:25 := add_monoid_hom
/-- Bundled monoid homomorphisms; use this for bundled group homomorphisms too. -/
@[to_additive add_monoid_hom]
structure monoid_hom (M : Type*) (N : Type*) [monoid M] [monoid N] :=
(to_fun : M → N)
(map_one' : to_fun 1 = 1)
(map_mul' : ∀ x y, to_fun (x * y) = to_fun x * to_fun y)
infixr ` →* `:25 := monoid_hom
@[to_additive]
instance {M : Type*} {N : Type*} {mM : monoid M} {mN : monoid N} : has_coe_to_fun (M →* N) :=
⟨_, monoid_hom.to_fun⟩
namespace monoid_hom
variables {M : Type*} {N : Type*} {P : Type*} [mM : monoid M] [mN : monoid N] {mP : monoid P}
variables {G : Type*} {H : Type*} [group G] [comm_group H]
include mM mN
/-- Interpret a map `f : M → N` as a homomorphism `M →* N`. -/
@[to_additive "Interpret a map `f : M → N` as a homomorphism `M →+ N`."]
def of (f : M → N) [h : is_monoid_hom f] : M →* N :=
{ to_fun := f,
map_one' := h.2,
map_mul' := h.1.1 }
variables {mM mN mP}
@[simp, to_additive]
lemma coe_of (f : M → N) [is_monoid_hom f] : ⇑ (monoid_hom.of f) = f :=
rfl
@[to_additive]
lemma coe_inj ⦃f g : M →* N⦄ (h : (f : M → N) = g) : f = g :=
by cases f; cases g; cases h; refl
@[ext, to_additive]
lemma ext ⦃f g : M →* N⦄ (h : ∀ x, f x = g x) : f = g :=
coe_inj (funext h)
@[to_additive]
lemma ext_iff {f g : M →* N} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, λ h, ext h⟩
/-- If f is a monoid homomorphism then f 1 = 1. -/
@[simp, to_additive]
lemma map_one (f : M →* N) : f 1 = 1 := f.map_one'
/-- If f is a monoid homomorphism then f (a * b) = f a * f b. -/
@[simp, to_additive]
lemma map_mul (f : M →* N) (a b : M) : f (a * b) = f a * f b := f.map_mul' a b
@[to_additive is_add_monoid_hom]
instance (f : M →* N) : is_monoid_hom (f : M → N) :=
{ map_mul := f.map_mul,
map_one := f.map_one }
omit mN mM
@[to_additive is_add_group_hom]
instance (f : G →* H) : is_group_hom (f : G → H) :=
{ map_mul := f.map_mul }
/-- The identity map from a monoid to itself. -/
@[to_additive]
def id (M : Type*) [monoid M] : M →* M :=
{ to_fun := id,
map_one' := rfl,
map_mul' := λ _ _, rfl }
include mM mN mP
/-- Composition of monoid morphisms is a monoid morphism. -/
@[to_additive]
def comp (hnp : N →* P) (hmn : M →* N) : M →* P :=
{ to_fun := hnp ∘ hmn,
map_one' := by simp,
map_mul' := by simp }
omit mP
variables [mM] [mN]
@[to_additive]
protected def one : M →* N :=
{ to_fun := λ _, 1,
map_one' := rfl,
map_mul' := λ _ _, (one_mul 1).symm }
@[to_additive]
instance : has_one (M →* N) := ⟨monoid_hom.one⟩
omit mM mN
/-- The product of two monoid morphisms is a monoid morphism if the target is commutative. -/
@[to_additive]
protected def mul {M N} {mM : monoid M} [comm_monoid N] (f g : M →* N) : M →* N :=
{ to_fun := λ m, f m * g m,
map_one' := show f 1 * g 1 = 1, by simp,
map_mul' := begin intros, show f (x * y) * g (x * y) = f x * g x * (f y * g y),
rw [f.map_mul, g.map_mul, ←mul_assoc, ←mul_assoc, mul_right_comm (f x)], end }
@[to_additive]
instance {M N} {mM : monoid M} [comm_monoid N] : has_mul (M →* N) := ⟨monoid_hom.mul⟩
/-- (M →* N) is a comm_monoid if N is commutative. -/
@[to_additive add_comm_monoid]
instance {M N} [monoid M] [comm_monoid N] : comm_monoid (M →* N) :=
{ mul := (*),
mul_assoc := by intros; ext; apply mul_assoc,
one := 1,
one_mul := by intros; ext; apply one_mul,
mul_one := by intros; ext; apply mul_one,
mul_comm := by intros; ext; apply mul_comm }
/-- Group homomorphisms preserve inverse. -/
@[simp, to_additive]
theorem map_inv {G H} [group G] [group H] (f : G →* H) (g : G) : f g⁻¹ = (f g)⁻¹ :=
eq_inv_of_mul_eq_one $ by rw [←f.map_mul, inv_mul_self, f.map_one]
/-- Group homomorphisms preserve division. -/
@[simp, to_additive]
theorem map_mul_inv {G H} [group G] [group H] (f : G →* H) (g h : G) :
f (g * h⁻¹) = (f g) * (f h)⁻¹ := by rw [f.map_mul, f.map_inv]
include mM
/-- Makes a group homomomorphism from a proof that the map preserves multiplication. -/
@[to_additive]
def mk' (f : M → G) (map_mul : ∀ a b : M, f (a * b) = f a * f b) : M →* G :=
{ to_fun := f,
map_mul' := map_mul,
map_one' := mul_self_iff_eq_one.1 $ by rw [←map_mul, mul_one] }
omit mM
/-- The inverse of a monoid homomorphism is a monoid homomorphism if the target is
a commutative group.-/
@[to_additive]
protected def inv {M G} {mM : monoid M} [comm_group G] (f : M →* G) : M →* G :=
mk' (λ g, (f g)⁻¹) $ λ a b, by rw [←mul_inv, f.map_mul]
@[to_additive]
instance {M G} [monoid M] [comm_group G] : has_inv (M →* G) := ⟨monoid_hom.inv⟩
/-- (M →* G) is a comm_group if G is a comm_group -/
@[to_additive add_comm_group]
instance {M G} [monoid M] [comm_group G] : comm_group (M →* G) :=
{ inv := has_inv.inv,
mul_left_inv := by intros; ext; apply mul_left_inv,
..monoid_hom.comm_monoid }
end monoid_hom
/-- Additive group homomorphisms preserve subtraction. -/
@[simp] theorem add_monoid_hom.map_sub {G H} [add_group G] [add_group H] (f : G →+ H) (g h : G) :
f (g - h) = (f g) - (f h) := f.map_add_neg g h
|
055c907723e14842c1d9a9445636786cdfdde841 | e61a235b8468b03aee0120bf26ec615c045005d2 | /tmp/eqns/prototype.lean | 0a8096328e42a70fc40dbabf8370b0edfab295bf | [
"Apache-2.0"
] | permissive | SCKelemen/lean4 | 140dc63a80539f7c61c8e43e1c174d8500ec3230 | e10507e6615ddbef73d67b0b6c7f1e4cecdd82bc | refs/heads/master | 1,660,973,595,917 | 1,590,278,033,000 | 1,590,278,033,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,618 | lean | prelude
import Init.Lean.Meta.Check
import Init.Lean.Meta.Tactic.Cases
import Init.Lean.Meta.GeneralizeTelescope
namespace Lean
namespace Meta
namespace DepElim
inductive Pattern
| inaccessible (ref : Syntax) (e : Expr)
| var (ref : Syntax) (fvarId : FVarId)
| ctor (ref : Syntax) (ctorName : Name) (fields : List Pattern)
| val (ref : Syntax) (e : Expr)
| arrayLit (ref : Syntax) (xs : List Pattern)
namespace Pattern
instance : Inhabited Pattern := ⟨Pattern.arrayLit Syntax.missing []⟩
partial def toMessageData : Pattern → MessageData
| inaccessible _ e => ".(" ++ e ++ ")"
| var _ fvarId => mkFVar fvarId
| ctor _ ctorName [] => ctorName
| ctor _ ctorName pats => "(" ++ ctorName ++ pats.foldl (fun (msg : MessageData) pat => msg ++ " " ++ toMessageData pat) Format.nil ++ ")"
| val _ e => "val!(" ++ e ++ ")"
| arrayLit _ pats => "#[" ++ MessageData.joinSep (pats.map toMessageData) ", " ++ "]"
end Pattern
structure AltLHS :=
(fvarDecls : List LocalDecl) -- Free variables used in the patterns.
(patterns : List Pattern) -- We use `List Pattern` since we have nary match-expressions.
structure MinorsRange :=
(firstMinorPos : Nat)
(numMinors : Nat)
abbrev AltToMinorsMap := PersistentHashMap Nat MinorsRange
structure Alt :=
(idx : Nat) -- for generating error messages
(fvarDecls : List LocalDecl)
(patterns : List Pattern)
namespace Alt
instance : Inhabited Alt := ⟨⟨0, [], []⟩⟩
partial def toMessageData (alt : Alt) : MetaM MessageData := do
lctx ← getLCtx;
localInsts ← getLocalInstances;
let lctx := alt.fvarDecls.foldl (fun (lctx : LocalContext) decl => lctx.addDecl decl) lctx;
withLocalContext lctx localInsts $ do
let msg : MessageData := "⟦" ++ MessageData.joinSep (alt.patterns.map Pattern.toMessageData) ", " ++ "⟧";
addContext msg
end Alt
structure Problem :=
(goal : Expr)
(vars : List Expr)
(alts : List Alt)
namespace Problem
instance : Inhabited Problem := ⟨⟨arbitrary _, [], []⟩⟩
def toMessageData (p : Problem) : MetaM MessageData := do
alts ← p.alts.mapM Alt.toMessageData;
pure $ "vars " ++ p.vars.toArray ++ Format.line ++ MessageData.joinSep alts Format.line
end Problem
structure ElimResult :=
(numMinors : Nat) -- It is the number of alternatives (Reason: support for overlapping equations)
(numEqs : Nat) -- It is the number of minors (Reason: users may want equations that hold definitionally)
(elim : Expr) -- The eliminator. It is not just `Expr.const elimName` because the type of the major premises may contain free variables.
(altMap : AltToMinorsMap) -- each alternative may be "expanded" into multiple minor premise
private def checkNumPatterns (majors : List Expr) (lhss : List AltLHS) : MetaM Unit :=
let num := majors.length;
when (lhss.any (fun lhs => lhs.patterns.length != num)) $
throw $ Exception.other "incorrect number of patterns"
private def mkElimSort (inProp : Bool) : MetaM Expr :=
if inProp then
pure $ mkSort $ levelZero
else do
vId ← mkFreshId;
pure $ mkSort $ mkLevelParam vId
private def withMotive {α} (majors : Array Expr) (sortv : Expr) (k : Expr → MetaM α) : MetaM α := do
type ← mkForall majors sortv;
trace! `Meta.debug type;
withLocalDecl `motive type BinderInfo.default k
private def mkAlts (lhss : List AltLHS) : List Alt :=
let alts : List Alt := lhss.foldl
(fun result lhs => { idx := result.length, fvarDecls := lhs.fvarDecls, patterns := lhs.patterns } :: result)
[];
alts.reverse
private def process : Problem → MetaM Unit
| p => withIncRecDepth $ do
traceM `Meta.debug p.toMessageData;
pure ()
def mkElim (elimName : Name) (majors : List Expr) (lhss : List AltLHS) (inProp : Bool := false) : MetaM ElimResult := do
checkNumPatterns majors lhss;
generalizeTelescope majors.toArray `_d $ fun majors => do
sortv ← mkElimSort inProp;
withMotive majors sortv $ fun motive => do
let target := mkAppN motive majors;
goal ← mkFreshExprMVar target;
let alts := mkAlts lhss;
let problem := { Problem . goal := goal, vars := majors.toList, alts := alts };
process problem;
pure { numMinors := 0, numEqs := 0, elim := arbitrary _, altMap := {} } -- TODO
end DepElim
end Meta
end Lean
open Lean
open Lean.Meta
open Lean.Meta.DepElim
/- Infrastructure for testing -/
universes u v
def inaccessible {α : Sort u} (a : α) : α := a
def val {α : Sort u} (a : α) : α := a
/- Convert expression using auxiliary hints `inaccessible` and `val` into a pattern -/
partial def mkPattern : Expr → MetaM Pattern
| e =>
if e.isAppOfArity `val 2 then
pure $ Pattern.val Syntax.missing e.appArg!
else if e.isAppOfArity `inaccessible 2 then
pure $ Pattern.inaccessible Syntax.missing e.appArg!
else if e.isFVar then
pure $ Pattern.var Syntax.missing e.fvarId!
else match e.arrayLit? with
| some es => do
pats ← es.mapM mkPattern;
pure $ Pattern.arrayLit Syntax.missing pats
| none => do
cval? ← constructorApp? e;
match cval? with
| none => throw $ Exception.other "unexpected pattern"
| some cval => do
let args := e.getAppArgs;
let fields := args.extract cval.nparams args.size;
pats ← fields.toList.mapM mkPattern;
pure $ Pattern.ctor Syntax.missing cval.name pats
partial def decodePats : Expr → MetaM (List Pattern)
| e =>
match e.app2? `Pat with
| some (_, pat) => do pat ← mkPattern pat; pure [pat]
| none =>
match e.prod? with
| none => throw $ Exception.other "unexpected pattern"
| some (pat, pats) => do
pat ← decodePats pat;
pats ← decodePats pats;
pure (pat ++ pats)
partial def decodeAltLHS (e : Expr) : MetaM AltLHS :=
forallTelescopeReducing e $ fun args body => do
decls ← args.toList.mapM (fun arg => getLocalDecl arg.fvarId!);
pats ← decodePats body;
pure { fvarDecls := decls, patterns := pats }
partial def decodeAltLHSs : Expr → MetaM (List AltLHS)
| e =>
match e.app2? `LHS with
| some (_, lhs) => do lhs ← decodeAltLHS lhs; pure [lhs]
| none =>
match e.prod? with
| none => throw $ Exception.other "unexpected LHS"
| some (lhs, lhss) => do
lhs ← decodeAltLHSs lhs;
lhss ← decodeAltLHSs lhss;
pure (lhs ++ lhss)
def withDepElimFrom {α} (declName : Name) (numPats : Nat) (k : List FVarId → List AltLHS → MetaM α) : MetaM α := do
cinfo ← getConstInfo declName;
forallTelescopeReducing cinfo.type $ fun args body =>
if args.size < numPats then
throw $ Exception.other "insufficient number of parameters"
else do
let xs := (args.extract (args.size - numPats) args.size).toList.map $ Expr.fvarId!;
alts ← decodeAltLHSs body;
k xs alts
inductive Pat {α : Sort u} (a : α) : Type u
| mk {} : Pat
inductive LHS {α : Sort u} (a : α) : Type u
| mk {} : LHS
instance LHS.inhabited {α} (a : α) : Inhabited (LHS a) := ⟨LHS.mk⟩
def ex1 (α : Type u) (β : Type v) (n : Nat) (x : List α) (y : List β) :
LHS (Pat ([] : List α) × Pat ([] : List α))
× LHS (forall (a : α) (b : α), Pat [a] × Pat [b])
× LHS (forall (a₁ a₂ : α) (as : List α) (b₁ b₂ : β) (bs : List β), Pat (a₁::a₂::as) × Pat (b₁::b₂::bs))
× LHS (forall (as : List α) (bs : List β), Pat as × Pat bs)
:= arbitrary _
@[init] def register : IO Unit :=
registerTraceClass `Meta.mkElim
set_option trace.Meta.debug true
def tst1 : MetaM Unit :=
withDepElimFrom `ex1 2 $ fun majors alts => do
let majors := majors.map mkFVar;
trace! `Meta.debug majors.toArray;
mkElim `test majors alts;
pure ()
#eval tst1
|
5a962067d24a6ad60dba9815f6f473be605df58a | ce6917c5bacabee346655160b74a307b4a5ab620 | /src/ch5/ex0711.lean | 783879a928803743f7632663e25765eb30f80b70 | [] | no_license | Ailrun/Theorem_Proving_in_Lean | ae6a23f3c54d62d401314d6a771e8ff8b4132db2 | 2eb1b5caf93c6a5a555c79e9097cf2ba5a66cf68 | refs/heads/master | 1,609,838,270,467 | 1,586,846,743,000 | 1,586,846,743,000 | 240,967,761 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 177 | lean | variables (p q r : Prop)
example (hp : p) : p ∧ q ↔ q :=
by simp *
example (hp : p) : p ∨ q :=
by simp *
example (hp : p) (hq : q) : p ∧ (q ∨ r) :=
by simp *
|
bfaaf9c79008f770eb78c0b11911a66ca8c7c548 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/order/galois_connection.lean | e38dd6af59b1f1c8b4929f81da0172cd7e79c576 | [
"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 | 33,662 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import order.complete_lattice
import order.synonym
/-!
# Galois connections, insertions and coinsertions
Galois connections are order theoretic adjoints, i.e. a pair of functions `u` and `l`,
such that `∀ a b, l a ≤ b ↔ a ≤ u b`.
## Main definitions
* `galois_connection`: A Galois connection is a pair of functions `l` and `u` satisfying
`l a ≤ b ↔ a ≤ u b`. They are special cases of adjoint functors in category theory,
but do not depend on the category theory library in mathlib.
* `galois_insertion`: A Galois insertion is a Galois connection where `l ∘ u = id`
* `galois_coinsertion`: A Galois coinsertion is a Galois connection where `u ∘ l = id`
## Implementation details
Galois insertions can be used to lift order structures from one type to another.
For example if `α` is a complete lattice, and `l : α → β`, and `u : β → α` form a Galois insertion,
then `β` is also a complete lattice. `l` is the lower adjoint and `u` is the upper adjoint.
An example of a Galois insertion is in group theory. If `G` is a group, then there is a Galois
insertion between the set of subsets of `G`, `set G`, and the set of subgroups of `G`,
`subgroup G`. The lower adjoint is `subgroup.closure`, taking the `subgroup` generated by a `set`,
and the upper adjoint is the coercion from `subgroup G` to `set G`, taking the underlying set
of a subgroup.
Naively lifting a lattice structure along this Galois insertion would mean that the definition
of `inf` on subgroups would be `subgroup.closure (↑S ∩ ↑T)`. This is an undesirable definition
because the intersection of subgroups is already a subgroup, so there is no need to take the
closure. For this reason a `choice` function is added as a field to the `galois_insertion`
structure. It has type `Π S : set G, ↑(closure S) ≤ S → subgroup G`. When `↑(closure S) ≤ S`, then
`S` is already a subgroup, so this function can be defined using `subgroup.mk` and not `closure`.
This means the infimum of subgroups will be defined to be the intersection of sets, paired
with a proof that intersection of subgroups is a subgroup, rather than the closure of the
intersection.
-/
open function order_dual set
universes u v w x
variables {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x} {κ : ι → Sort*} {a a₁ a₂ : α}
{b b₁ b₂ : β}
/-- A Galois connection is a pair of functions `l` and `u` satisfying
`l a ≤ b ↔ a ≤ u b`. They are special cases of adjoint functors in category theory,
but do not depend on the category theory library in mathlib. -/
def galois_connection [preorder α] [preorder β] (l : α → β) (u : β → α) := ∀ a b, l a ≤ b ↔ a ≤ u b
/-- Makes a Galois connection from an order-preserving bijection. -/
theorem order_iso.to_galois_connection [preorder α] [preorder β] (oi : α ≃o β) :
galois_connection oi oi.symm :=
λ b g, oi.rel_symm_apply.symm
namespace galois_connection
section
variables [preorder α] [preorder β] {l : α → β} {u : β → α} (gc : galois_connection l u)
lemma monotone_intro (hu : monotone u) (hl : monotone l)
(hul : ∀ a, a ≤ u (l a)) (hlu : ∀ a, l (u a) ≤ a) : galois_connection l u :=
λ a b, ⟨λ h, (hul _).trans (hu h), λ h, (hl h).trans (hlu _)⟩
include gc
protected lemma dual {l : α → β} {u : β → α} (gc : galois_connection l u) :
galois_connection (order_dual.to_dual ∘ u ∘ order_dual.of_dual)
(order_dual.to_dual ∘ l ∘ order_dual.of_dual) :=
λ a b, (gc b a).symm
lemma le_iff_le {a : α} {b : β} : l a ≤ b ↔ a ≤ u b :=
gc _ _
lemma l_le {a : α} {b : β} : a ≤ u b → l a ≤ b :=
(gc _ _).mpr
lemma le_u {a : α} {b : β} : l a ≤ b → a ≤ u b :=
(gc _ _).mp
lemma le_u_l (a) : a ≤ u (l a) :=
gc.le_u $ le_rfl
lemma l_u_le (a) : l (u a) ≤ a :=
gc.l_le $ le_rfl
lemma monotone_u : monotone u :=
λ a b H, gc.le_u ((gc.l_u_le a).trans H)
lemma monotone_l : monotone l :=
gc.dual.monotone_u.dual
lemma upper_bounds_l_image (s : set α) : upper_bounds (l '' s) = u ⁻¹' upper_bounds s :=
set.ext $ λ b, by simp [upper_bounds, gc _ _]
lemma lower_bounds_u_image (s : set β) : lower_bounds (u '' s) = l ⁻¹' lower_bounds s :=
gc.dual.upper_bounds_l_image s
lemma bdd_above_l_image {s : set α} : bdd_above (l '' s) ↔ bdd_above s :=
⟨λ ⟨x, hx⟩, ⟨u x, by rwa [gc.upper_bounds_l_image] at hx⟩, gc.monotone_l.map_bdd_above⟩
lemma bdd_below_u_image {s : set β} : bdd_below (u '' s) ↔ bdd_below s :=
gc.dual.bdd_above_l_image
lemma is_lub_l_image {s : set α} {a : α} (h : is_lub s a) : is_lub (l '' s) (l a) :=
⟨gc.monotone_l.mem_upper_bounds_image h.left,
λ b hb, gc.l_le $ h.right $ by rwa [gc.upper_bounds_l_image] at hb⟩
lemma is_glb_u_image {s : set β} {b : β} (h : is_glb s b) : is_glb (u '' s) (u b) :=
gc.dual.is_lub_l_image h
lemma is_least_l {a : α} : is_least {b | a ≤ u b} (l a) :=
⟨gc.le_u_l _, λ b hb, gc.l_le hb⟩
lemma is_greatest_u {b : β} : is_greatest {a | l a ≤ b} (u b) :=
gc.dual.is_least_l
lemma is_glb_l {a : α} : is_glb {b | a ≤ u b} (l a) := gc.is_least_l.is_glb
lemma is_lub_u {b : β} : is_lub { a | l a ≤ b } (u b) := gc.is_greatest_u.is_lub
/-- If `(l, u)` is a Galois connection, then the relation `x ≤ u (l y)` is a transitive relation.
If `l` is a closure operator (`submodule.span`, `subgroup.closure`, ...) and `u` is the coercion to
`set`, this reads as "if `U` is in the closure of `V` and `V` is in the closure of `W` then `U` is
in the closure of `W`". -/
lemma le_u_l_trans {x y z : α} (hxy : x ≤ u (l y)) (hyz : y ≤ u (l z)) :
x ≤ u (l z) :=
hxy.trans (gc.monotone_u $ gc.l_le hyz)
lemma l_u_le_trans {x y z : β} (hxy : l (u x) ≤ y) (hyz : l (u y) ≤ z) :
l (u x) ≤ z :=
(gc.monotone_l $ gc.le_u hxy).trans hyz
end
section partial_order
variables [partial_order α] [preorder β] {l : α → β} {u : β → α} (gc : galois_connection l u)
include gc
lemma u_l_u_eq_u (b : β) : u (l (u b)) = u b :=
(gc.monotone_u (gc.l_u_le _)).antisymm (gc.le_u_l _)
lemma u_l_u_eq_u' : u ∘ l ∘ u = u := funext gc.u_l_u_eq_u
lemma u_unique {l' : α → β} {u' : β → α} (gc' : galois_connection l' u')
(hl : ∀ a, l a = l' a) {b : β} : u b = u' b :=
le_antisymm (gc'.le_u $ hl (u b) ▸ gc.l_u_le _)
(gc.le_u $ (hl (u' b)).symm ▸ gc'.l_u_le _)
/-- If there exists a `b` such that `a = u a`, then `b = l a` is one such element. -/
lemma exists_eq_u (a : α) : (∃ b : β, a = u b) ↔ a = u (l a) :=
⟨λ ⟨S, hS⟩, hS.symm ▸ (gc.u_l_u_eq_u _).symm, λ HI, ⟨_, HI⟩ ⟩
lemma u_eq {z : α} {y : β} :
u y = z ↔ ∀ x, x ≤ z ↔ l x ≤ y :=
begin
split,
{ rintros rfl x,
exact (gc x y).symm },
{ intros H,
exact ((H $ u y).mpr (gc.l_u_le y)).antisymm ((gc _ _).mp $ (H z).mp le_rfl) }
end
end partial_order
section partial_order
variables [preorder α] [partial_order β] {l : α → β} {u : β → α} (gc : galois_connection l u)
include gc
lemma l_u_l_eq_l (a : α) : l (u (l a)) = l a :=
(gc.l_u_le _).antisymm (gc.monotone_l (gc.le_u_l _))
lemma l_u_l_eq_l' : l ∘ u ∘ l = l := funext gc.l_u_l_eq_l
lemma l_unique {l' : α → β} {u' : β → α} (gc' : galois_connection l' u')
(hu : ∀ b, u b = u' b) {a : α} : l a = l' a :=
le_antisymm (gc.l_le $ (hu (l' a)).symm ▸ gc'.le_u_l _)
(gc'.l_le $ hu (l a) ▸ gc.le_u_l _)
/-- If there exists an `a` such that `b = l a`, then `a = u b` is one such element. -/
lemma exists_eq_l (b : β) : (∃ a : α, b = l a) ↔ b = l (u b) :=
⟨λ ⟨S, hS⟩, hS.symm ▸ (gc.l_u_l_eq_l _).symm, λ HI, ⟨_, HI⟩ ⟩
lemma l_eq {x : α} {z : β} :
l x = z ↔ ∀ y, z ≤ y ↔ x ≤ u y :=
begin
split,
{ rintros rfl y,
exact gc x y },
{ intros H,
exact ((gc _ _).mpr $ (H z).mp le_rfl).antisymm ((H $ l x).mpr (gc.le_u_l x)) }
end
end partial_order
section order_top
variables [partial_order α] [preorder β] [order_top α] [order_top β] {l : α → β} {u : β → α}
(gc : galois_connection l u)
include gc
lemma u_top : u ⊤ = ⊤ := top_unique $ gc.le_u le_top
end order_top
section order_bot
variables [preorder α] [partial_order β] [order_bot α] [order_bot β] {l : α → β} {u : β → α}
(gc : galois_connection l u)
include gc
lemma l_bot : l ⊥ = ⊥ := gc.dual.u_top
end order_bot
section semilattice_sup
variables [semilattice_sup α] [semilattice_sup β] {l : α → β} {u : β → α}
(gc : galois_connection l u)
include gc
lemma l_sup : l (a₁ ⊔ a₂) = l a₁ ⊔ l a₂ :=
(gc.is_lub_l_image is_lub_pair).unique $ by simp only [image_pair, is_lub_pair]
end semilattice_sup
section semilattice_inf
variables [semilattice_inf α] [semilattice_inf β] {l : α → β} {u : β → α}
(gc : galois_connection l u)
include gc
lemma u_inf : u (b₁ ⊓ b₂) = u b₁ ⊓ u b₂ := gc.dual.l_sup
end semilattice_inf
section complete_lattice
variables [complete_lattice α] [complete_lattice β] {l : α → β} {u : β → α}
(gc : galois_connection l u)
include gc
lemma l_supr {f : ι → α} : l (supr f) = ⨆ i, l (f i) :=
eq.symm $ is_lub.supr_eq $ show is_lub (range (l ∘ f)) (l (supr f)),
by rw [range_comp, ← Sup_range]; exact gc.is_lub_l_image (is_lub_Sup _)
lemma l_supr₂ {f : Π i, κ i → α} : l (⨆ i j, f i j) = ⨆ i j, l (f i j) := by simp_rw gc.l_supr
lemma u_infi {f : ι → β} : u (infi f) = ⨅ i, u (f i) := gc.dual.l_supr
lemma u_infi₂ {f : Π i, κ i → β} : u (⨅ i j, f i j) = ⨅ i j, u (f i j) := gc.dual.l_supr₂
lemma l_Sup {s : set α} : l (Sup s) = ⨆ a ∈ s, l a := by simp only [Sup_eq_supr, gc.l_supr]
lemma u_Inf {s : set β} : u (Inf s) = ⨅ a ∈ s, u a := gc.dual.l_Sup
end complete_lattice
section linear_order
variables [linear_order α] [linear_order β] {l : α → β} {u : β → α}
(gc : galois_connection l u)
lemma lt_iff_lt {a : α} {b : β} : b < l a ↔ u b < a := lt_iff_lt_of_le_iff_le (gc a b)
end linear_order
/- Constructing Galois connections -/
section constructions
protected lemma id [pα : preorder α] : @galois_connection α α pα pα id id :=
λ a b, iff.intro (λ x, x) (λ x, x)
protected lemma compose [preorder α] [preorder β] [preorder γ]
{l1 : α → β} {u1 : β → α} {l2 : β → γ} {u2 : γ → β}
(gc1 : galois_connection l1 u1) (gc2 : galois_connection l2 u2) :
galois_connection (l2 ∘ l1) (u1 ∘ u2) :=
by intros a b; rw [gc2, gc1]
protected lemma dfun {ι : Type u} {α : ι → Type v} {β : ι → Type w}
[∀ i, preorder (α i)] [∀ i, preorder (β i)]
(l : Πi, α i → β i) (u : Πi, β i → α i) (gc : ∀ i, galois_connection (l i) (u i)) :
galois_connection (λ (a : Π i, α i) i, l i (a i)) (λ b i, u i (b i)) :=
λ a b, forall_congr $ λ i, gc i (a i) (b i)
end constructions
lemma l_comm_of_u_comm
{X : Type*} [preorder X] {Y : Type*} [preorder Y]
{Z : Type*} [preorder Z] {W : Type*} [partial_order W]
{lYX : X → Y} {uXY : Y → X} (hXY : galois_connection lYX uXY)
{lWZ : Z → W} {uZW : W → Z} (hZW : galois_connection lWZ uZW)
{lWY : Y → W} {uYW : W → Y} (hWY : galois_connection lWY uYW)
{lZX : X → Z} {uXZ : Z → X} (hXZ : galois_connection lZX uXZ)
(h : ∀ w, uXZ (uZW w) = uXY (uYW w)) {x : X} : lWZ (lZX x) = lWY (lYX x) :=
(hXZ.compose hZW).l_unique (hXY.compose hWY) h
lemma u_comm_of_l_comm
{X : Type*} [partial_order X] {Y : Type*} [preorder Y]
{Z : Type*} [preorder Z] {W : Type*} [preorder W]
{lYX : X → Y} {uXY : Y → X} (hXY : galois_connection lYX uXY)
{lWZ : Z → W} {uZW : W → Z} (hZW : galois_connection lWZ uZW)
{lWY : Y → W} {uYW : W → Y} (hWY : galois_connection lWY uYW)
{lZX : X → Z} {uXZ : Z → X} (hXZ : galois_connection lZX uXZ)
(h : ∀ x, lWZ (lZX x) = lWY (lYX x)) {w : W} : uXZ (uZW w) = uXY (uYW w) :=
(hXZ.compose hZW).u_unique (hXY.compose hWY) h
lemma l_comm_iff_u_comm
{X : Type*} [partial_order X] {Y : Type*} [preorder Y]
{Z : Type*} [preorder Z] {W : Type*} [partial_order W]
{lYX : X → Y} {uXY : Y → X} (hXY : galois_connection lYX uXY)
{lWZ : Z → W} {uZW : W → Z} (hZW : galois_connection lWZ uZW)
{lWY : Y → W} {uYW : W → Y} (hWY : galois_connection lWY uYW)
{lZX : X → Z} {uXZ : Z → X} (hXZ : galois_connection lZX uXZ) :
(∀ w : W, uXZ (uZW w) = uXY (uYW w)) ↔ ∀ x : X, lWZ (lZX x) = lWY (lYX x) :=
⟨hXY.l_comm_of_u_comm hZW hWY hXZ, hXY.u_comm_of_l_comm hZW hWY hXZ⟩
end galois_connection
section
variables [complete_lattice α] [complete_lattice β] [complete_lattice γ] {f : α → β → γ} {s : set α}
{t : set β} {l u : α → β → γ} {l₁ u₁ : β → γ → α} {l₂ u₂ : α → γ → β}
lemma Sup_image2_eq_Sup_Sup (h₁ : ∀ b, galois_connection (swap l b) (u₁ b))
(h₂ : ∀ a, galois_connection (l a) (u₂ a)) :
Sup (image2 l s t) = l (Sup s) (Sup t) :=
by simp_rw [Sup_image2, ←(h₂ _).l_Sup, ←(h₁ _).l_Sup]
lemma Sup_image2_eq_Sup_Inf (h₁ : ∀ b, galois_connection (swap l b) (u₁ b))
(h₂ : ∀ a, galois_connection (l a ∘ of_dual) (to_dual ∘ u₂ a)) :
Sup (image2 l s t) = l (Sup s) (Inf t) :=
@Sup_image2_eq_Sup_Sup _ βᵒᵈ _ _ _ _ _ _ _ _ _ h₁ h₂
lemma Sup_image2_eq_Inf_Sup (h₁ : ∀ b, galois_connection (swap l b ∘ of_dual) (to_dual ∘ u₁ b))
(h₂ : ∀ a, galois_connection (l a) (u₂ a)) :
Sup (image2 l s t) = l (Inf s) (Sup t) :=
@Sup_image2_eq_Sup_Sup αᵒᵈ _ _ _ _ _ _ _ _ _ _ h₁ h₂
lemma Sup_image2_eq_Inf_Inf (h₁ : ∀ b, galois_connection (swap l b ∘ of_dual) (to_dual ∘ u₁ b))
(h₂ : ∀ a, galois_connection (l a ∘ of_dual) (to_dual ∘ u₂ a)) :
Sup (image2 l s t) = l (Inf s) (Inf t) :=
@Sup_image2_eq_Sup_Sup αᵒᵈ βᵒᵈ _ _ _ _ _ _ _ _ _ h₁ h₂
lemma Inf_image2_eq_Inf_Inf (h₁ : ∀ b, galois_connection (l₁ b) (swap u b))
(h₂ : ∀ a, galois_connection (l₂ a) (u a)) :
Inf (image2 u s t) = u (Inf s) (Inf t) :=
by simp_rw [Inf_image2, ←(h₂ _).u_Inf, ←(h₁ _).u_Inf]
lemma Inf_image2_eq_Inf_Sup (h₁ : ∀ b, galois_connection (l₁ b) (swap u b))
(h₂ : ∀ a, galois_connection (to_dual ∘ l₂ a) (u a ∘ of_dual)) :
Inf (image2 u s t) = u (Inf s) (Sup t) :=
@Inf_image2_eq_Inf_Inf _ βᵒᵈ _ _ _ _ _ _ _ _ _ h₁ h₂
lemma Inf_image2_eq_Sup_Inf (h₁ : ∀ b, galois_connection (to_dual ∘ l₁ b) (swap u b ∘ of_dual))
(h₂ : ∀ a, galois_connection (l₂ a) (u a)) :
Inf (image2 u s t) = u (Sup s) (Inf t) :=
@Inf_image2_eq_Inf_Inf αᵒᵈ _ _ _ _ _ _ _ _ _ _ h₁ h₂
lemma Inf_image2_eq_Sup_Sup (h₁ : ∀ b, galois_connection (to_dual ∘ l₁ b) (swap u b ∘ of_dual))
(h₂ : ∀ a, galois_connection (to_dual ∘ l₂ a) (u a ∘ of_dual)) :
Inf (image2 u s t) = u (Sup s) (Sup t) :=
@Inf_image2_eq_Inf_Inf αᵒᵈ βᵒᵈ _ _ _ _ _ _ _ _ _ h₁ h₂
end
namespace order_iso
variables [preorder α] [preorder β]
@[simp] lemma bdd_above_image (e : α ≃o β) {s : set α} : bdd_above (e '' s) ↔ bdd_above s :=
e.to_galois_connection.bdd_above_l_image
@[simp] lemma bdd_below_image (e : α ≃o β) {s : set α} : bdd_below (e '' s) ↔ bdd_below s :=
e.dual.bdd_above_image
@[simp] lemma bdd_above_preimage (e : α ≃o β) {s : set β} : bdd_above (e ⁻¹' s) ↔ bdd_above s :=
by rw [← e.bdd_above_image, e.image_preimage]
@[simp] lemma bdd_below_preimage (e : α ≃o β) {s : set β} : bdd_below (e ⁻¹' s) ↔ bdd_below s :=
by rw [← e.bdd_below_image, e.image_preimage]
end order_iso
namespace nat
lemma galois_connection_mul_div {k : ℕ} (h : 0 < k) : galois_connection (λ n, n * k) (λ n, n / k) :=
λ x y, (le_div_iff_mul_le h).symm
end nat
/-- A Galois insertion is a Galois connection where `l ∘ u = id`. It also contains a constructive
choice function, to give better definitional equalities when lifting order structures. Dual
to `galois_coinsertion` -/
@[nolint has_nonempty_instance]
structure galois_insertion {α β : Type*} [preorder α] [preorder β] (l : α → β) (u : β → α) :=
(choice : Πx : α, u (l x) ≤ x → β)
(gc : galois_connection l u)
(le_l_u : ∀ x, x ≤ l (u x))
(choice_eq : ∀ a h, choice a h = l a)
/-- A constructor for a Galois insertion with the trivial `choice` function. -/
def galois_insertion.monotone_intro {α β : Type*} [preorder α] [preorder β] {l : α → β} {u : β → α}
(hu : monotone u) (hl : monotone l) (hul : ∀ a, a ≤ u (l a)) (hlu : ∀ b, l (u b) = b) :
galois_insertion l u :=
{ choice := λ x _, l x,
gc := galois_connection.monotone_intro hu hl hul (λ b, le_of_eq (hlu b)),
le_l_u := λ b, le_of_eq $ (hlu b).symm,
choice_eq := λ _ _, rfl }
/-- Makes a Galois insertion from an order-preserving bijection. -/
protected def order_iso.to_galois_insertion [preorder α] [preorder β] (oi : α ≃o β) :
galois_insertion oi oi.symm :=
{ choice := λ b h, oi b,
gc := oi.to_galois_connection,
le_l_u := λ g, le_of_eq (oi.right_inv g).symm,
choice_eq := λ b h, rfl }
/-- Make a `galois_insertion l u` from a `galois_connection l u` such that `∀ b, b ≤ l (u b)` -/
def galois_connection.to_galois_insertion {α β : Type*} [preorder α] [preorder β]
{l : α → β} {u : β → α} (gc : galois_connection l u) (h : ∀ b, b ≤ l (u b)) :
galois_insertion l u :=
{ choice := λ x _, l x,
gc := gc,
le_l_u := h,
choice_eq := λ _ _, rfl }
/-- Lift the bottom along a Galois connection -/
def galois_connection.lift_order_bot {α β : Type*} [preorder α] [order_bot α] [partial_order β]
{l : α → β} {u : β → α} (gc : galois_connection l u) :
order_bot β :=
{ bot := l ⊥,
bot_le := λ b, gc.l_le $ bot_le }
namespace galois_insertion
variables {l : α → β} {u : β → α}
lemma l_u_eq [preorder α] [partial_order β] (gi : galois_insertion l u) (b : β) :
l (u b) = b :=
(gi.gc.l_u_le _).antisymm (gi.le_l_u _)
lemma left_inverse_l_u [preorder α] [partial_order β] (gi : galois_insertion l u) :
left_inverse l u :=
gi.l_u_eq
lemma l_surjective [preorder α] [partial_order β] (gi : galois_insertion l u) :
surjective l :=
gi.left_inverse_l_u.surjective
lemma u_injective [preorder α] [partial_order β] (gi : galois_insertion l u) :
injective u :=
gi.left_inverse_l_u.injective
lemma l_sup_u [semilattice_sup α] [semilattice_sup β] (gi : galois_insertion l u) (a b : β) :
l (u a ⊔ u b) = a ⊔ b :=
calc l (u a ⊔ u b) = l (u a) ⊔ l (u b) : gi.gc.l_sup
... = a ⊔ b : by simp only [gi.l_u_eq]
lemma l_supr_u [complete_lattice α] [complete_lattice β] (gi : galois_insertion l u)
{ι : Sort x} (f : ι → β) :
l (⨆ i, u (f i)) = ⨆ i, (f i) :=
calc l (⨆ (i : ι), u (f i)) = ⨆ (i : ι), l (u (f i)) : gi.gc.l_supr
... = ⨆ (i : ι), f i : congr_arg _ $ funext $ λ i, gi.l_u_eq (f i)
lemma l_bsupr_u [complete_lattice α] [complete_lattice β] (gi : galois_insertion l u)
{ι : Sort x} {p : ι → Prop} (f : Π i (hi : p i), β) :
l (⨆ i hi, u (f i hi)) = ⨆ i hi, f i hi :=
by simp only [supr_subtype', gi.l_supr_u]
lemma l_Sup_u_image [complete_lattice α] [complete_lattice β] (gi : galois_insertion l u)
(s : set β) : l (Sup (u '' s)) = Sup s :=
by rw [Sup_image, gi.l_bsupr_u, Sup_eq_supr]
lemma l_inf_u [semilattice_inf α] [semilattice_inf β] (gi : galois_insertion l u) (a b : β) :
l (u a ⊓ u b) = a ⊓ b :=
calc l (u a ⊓ u b) = l (u (a ⊓ b)) : congr_arg l gi.gc.u_inf.symm
... = a ⊓ b : by simp only [gi.l_u_eq]
lemma l_infi_u [complete_lattice α] [complete_lattice β] (gi : galois_insertion l u)
{ι : Sort x} (f : ι → β) :
l (⨅ i, u (f i)) = ⨅ i, f i :=
calc l (⨅ (i : ι), u (f i)) = l (u (⨅ (i : ι), (f i))) : congr_arg l gi.gc.u_infi.symm
... = ⨅ (i : ι), f i : gi.l_u_eq _
lemma l_binfi_u [complete_lattice α] [complete_lattice β] (gi : galois_insertion l u)
{ι : Sort x} {p : ι → Prop} (f : Π i (hi : p i), β) :
l (⨅ i hi, u (f i hi)) = ⨅ i hi, f i hi :=
by simp only [infi_subtype', gi.l_infi_u]
lemma l_Inf_u_image [complete_lattice α] [complete_lattice β] (gi : galois_insertion l u)
(s : set β) : l (Inf (u '' s)) = Inf s :=
by rw [Inf_image, gi.l_binfi_u, Inf_eq_infi]
lemma l_infi_of_ul_eq_self [complete_lattice α] [complete_lattice β] (gi : galois_insertion l u)
{ι : Sort x} (f : ι → α) (hf : ∀ i, u (l (f i)) = f i) :
l (⨅ i, f i) = ⨅ i, l (f i) :=
calc l (⨅ i, (f i)) = l ⨅ (i : ι), (u (l (f i))) : by simp [hf]
... = ⨅ i, l (f i) : gi.l_infi_u _
lemma l_binfi_of_ul_eq_self [complete_lattice α] [complete_lattice β] (gi : galois_insertion l u)
{ι : Sort x} {p : ι → Prop} (f : Π i (hi : p i), α) (hf : ∀ i hi, u (l (f i hi)) = f i hi) :
l (⨅ i hi, f i hi) = ⨅ i hi, l (f i hi) :=
by { rw [infi_subtype', infi_subtype'], exact gi.l_infi_of_ul_eq_self _ (λ _, hf _ _) }
lemma u_le_u_iff [preorder α] [preorder β] (gi : galois_insertion l u) {a b} :
u a ≤ u b ↔ a ≤ b :=
⟨λ h, (gi.le_l_u _).trans (gi.gc.l_le h),
λ h, gi.gc.monotone_u h⟩
lemma strict_mono_u [preorder α] [preorder β] (gi : galois_insertion l u) : strict_mono u :=
strict_mono_of_le_iff_le $ λ _ _, gi.u_le_u_iff.symm
lemma is_lub_of_u_image [preorder α] [preorder β] (gi : galois_insertion l u) {s : set β} {a : α}
(hs : is_lub (u '' s) a) : is_lub s (l a) :=
⟨λ x hx, (gi.le_l_u x).trans $ gi.gc.monotone_l $ hs.1 $ mem_image_of_mem _ hx,
λ x hx, gi.gc.l_le $ hs.2 $ gi.gc.monotone_u.mem_upper_bounds_image hx⟩
lemma is_glb_of_u_image [preorder α] [preorder β] (gi : galois_insertion l u) {s : set β} {a : α}
(hs : is_glb (u '' s) a) : is_glb s (l a) :=
⟨λ x hx, gi.gc.l_le $ hs.1 $ mem_image_of_mem _ hx,
λ x hx, (gi.le_l_u x).trans $ gi.gc.monotone_l $ hs.2 $
gi.gc.monotone_u.mem_lower_bounds_image hx⟩
section lift
variables [partial_order β]
/-- Lift the suprema along a Galois insertion -/
@[reducible] -- See note [reducible non instances]
def lift_semilattice_sup [semilattice_sup α] (gi : galois_insertion l u) : semilattice_sup β :=
{ sup := λ a b, l (u a ⊔ u b),
le_sup_left := λ a b, (gi.le_l_u a).trans $ gi.gc.monotone_l $ le_sup_left,
le_sup_right := λ a b, (gi.le_l_u b).trans $ gi.gc.monotone_l $ le_sup_right,
sup_le := λ a b c hac hbc,
gi.gc.l_le $ sup_le (gi.gc.monotone_u hac) (gi.gc.monotone_u hbc),
.. ‹partial_order β› }
/-- Lift the infima along a Galois insertion -/
@[reducible] -- See note [reducible non instances]
def lift_semilattice_inf [semilattice_inf α] (gi : galois_insertion l u) : semilattice_inf β :=
{ inf := λ a b, gi.choice (u a ⊓ u b) $
(le_inf (gi.gc.monotone_u $ gi.gc.l_le $ inf_le_left)
(gi.gc.monotone_u $ gi.gc.l_le $ inf_le_right)),
inf_le_left := by simp only [gi.choice_eq]; exact λ a b, gi.gc.l_le inf_le_left,
inf_le_right := by simp only [gi.choice_eq]; exact λ a b, gi.gc.l_le inf_le_right,
le_inf := by simp only [gi.choice_eq]; exact λ a b c hac hbc,
(gi.le_l_u a).trans $ gi.gc.monotone_l $ le_inf (gi.gc.monotone_u hac) (gi.gc.monotone_u hbc),
.. ‹partial_order β› }
/-- Lift the suprema and infima along a Galois insertion -/
@[reducible] -- See note [reducible non instances]
def lift_lattice [lattice α] (gi : galois_insertion l u) : lattice β :=
{ .. gi.lift_semilattice_sup, .. gi.lift_semilattice_inf }
/-- Lift the top along a Galois insertion -/
@[reducible] -- See note [reducible non instances]
def lift_order_top [preorder α] [order_top α] (gi : galois_insertion l u) : order_top β :=
{ top := gi.choice ⊤ $ le_top,
le_top := by simp only [gi.choice_eq]; exact λ b, (gi.le_l_u b).trans (gi.gc.monotone_l le_top) }
/-- Lift the top, bottom, suprema, and infima along a Galois insertion -/
@[reducible] -- See note [reducible non instances]
def lift_bounded_order [preorder α] [bounded_order α]
(gi : galois_insertion l u) : bounded_order β :=
{ .. gi.lift_order_top, .. gi.gc.lift_order_bot }
/-- Lift all suprema and infima along a Galois insertion -/
@[reducible] -- See note [reducible non instances]
def lift_complete_lattice [complete_lattice α] (gi : galois_insertion l u) : complete_lattice β :=
{ Sup := λ s, l (Sup (u '' s)),
Sup_le := λ s, (gi.is_lub_of_u_image (is_lub_Sup _)).2,
le_Sup := λ s, (gi.is_lub_of_u_image (is_lub_Sup _)).1,
Inf := λ s, gi.choice (Inf (u '' s)) $ (is_glb_Inf _).2 $ gi.gc.monotone_u.mem_lower_bounds_image
(gi.is_glb_of_u_image $ is_glb_Inf _).1,
Inf_le := λ s, by { rw gi.choice_eq, exact (gi.is_glb_of_u_image (is_glb_Inf _)).1 },
le_Inf := λ s, by { rw gi.choice_eq, exact (gi.is_glb_of_u_image (is_glb_Inf _)).2 },
.. gi.lift_bounded_order,
.. gi.lift_lattice }
end lift
end galois_insertion
/-- A Galois coinsertion is a Galois connection where `u ∘ l = id`. It also contains a constructive
choice function, to give better definitional equalities when lifting order structures. Dual to
`galois_insertion` -/
@[nolint has_nonempty_instance]
structure galois_coinsertion [preorder α] [preorder β] (l : α → β) (u : β → α) :=
(choice : Πx : β, x ≤ l (u x) → α)
(gc : galois_connection l u)
(u_l_le : ∀ x, u (l x) ≤ x)
(choice_eq : ∀ a h, choice a h = u a)
/-- Make a `galois_insertion` between `αᵒᵈ` and `βᵒᵈ` from a `galois_coinsertion` between `α` and
`β`. -/
def galois_coinsertion.dual [preorder α] [preorder β] {l : α → β} {u : β → α} :
galois_coinsertion l u → galois_insertion (to_dual ∘ u ∘ of_dual) (to_dual ∘ l ∘ of_dual) :=
λ x, ⟨x.1, x.2.dual, x.3, x.4⟩
/-- Make a `galois_coinsertion` between `αᵒᵈ` and `βᵒᵈ` from a `galois_insertion` between `α` and
`β`. -/
def galois_insertion.dual [preorder α] [preorder β] {l : α → β} {u : β → α} :
galois_insertion l u → galois_coinsertion (to_dual ∘ u ∘ of_dual) (to_dual ∘ l ∘ of_dual) :=
λ x, ⟨x.1, x.2.dual, x.3, x.4⟩
/-- Make a `galois_insertion` between `α` and `β` from a `galois_coinsertion` between `αᵒᵈ` and
`βᵒᵈ`. -/
def galois_coinsertion.of_dual [preorder α] [preorder β] {l : αᵒᵈ → βᵒᵈ} {u : βᵒᵈ → αᵒᵈ} :
galois_coinsertion l u → galois_insertion (of_dual ∘ u ∘ to_dual) (of_dual ∘ l ∘ to_dual) :=
λ x, ⟨x.1, x.2.dual, x.3, x.4⟩
/-- Make a `galois_coinsertion` between `α` and `β` from a `galois_insertion` between `αᵒᵈ` and
`βᵒᵈ`. -/
def galois_insertion.of_dual [preorder α] [preorder β] {l : αᵒᵈ → βᵒᵈ} {u : βᵒᵈ → αᵒᵈ} :
galois_insertion l u → galois_coinsertion (of_dual ∘ u ∘ to_dual) (of_dual ∘ l ∘ to_dual) :=
λ x, ⟨x.1, x.2.dual, x.3, x.4⟩
/-- Makes a Galois coinsertion from an order-preserving bijection. -/
protected def order_iso.to_galois_coinsertion [preorder α] [preorder β] (oi : α ≃o β) :
galois_coinsertion oi oi.symm :=
{ choice := λ b h, oi.symm b,
gc := oi.to_galois_connection,
u_l_le := λ g, le_of_eq (oi.left_inv g),
choice_eq := λ b h, rfl }
/-- A constructor for a Galois coinsertion with the trivial `choice` function. -/
def galois_coinsertion.monotone_intro [preorder α] [preorder β] {l : α → β} {u : β → α}
(hu : monotone u) (hl : monotone l) (hlu : ∀ b, l (u b) ≤ b)
(hul : ∀ a, u (l a) = a) :
galois_coinsertion l u :=
(galois_insertion.monotone_intro hl.dual hu.dual hlu hul).of_dual
/-- Make a `galois_coinsertion l u` from a `galois_connection l u` such that `∀ b, b ≤ l (u b)` -/
def galois_connection.to_galois_coinsertion {α β : Type*} [preorder α] [preorder β]
{l : α → β} {u : β → α} (gc : galois_connection l u) (h : ∀ a, u (l a) ≤ a) :
galois_coinsertion l u :=
{ choice := λ x _, u x,
gc := gc,
u_l_le := h,
choice_eq := λ _ _, rfl }
/-- Lift the top along a Galois connection -/
def galois_connection.lift_order_top {α β : Type*} [partial_order α] [preorder β] [order_top β]
{l : α → β} {u : β → α} (gc : galois_connection l u) :
order_top α :=
{ top := u ⊤,
le_top := λ b, gc.le_u $ le_top }
namespace galois_coinsertion
variables {l : α → β} {u : β → α}
lemma u_l_eq [partial_order α] [preorder β] (gi : galois_coinsertion l u) (a : α) :
u (l a) = a :=
gi.dual.l_u_eq a
lemma u_l_left_inverse [partial_order α] [preorder β] (gi : galois_coinsertion l u) :
left_inverse u l :=
gi.u_l_eq
lemma u_surjective [partial_order α] [preorder β] (gi : galois_coinsertion l u) :
surjective u :=
gi.dual.l_surjective
lemma l_injective [partial_order α] [preorder β] (gi : galois_coinsertion l u) :
injective l :=
gi.dual.u_injective
lemma u_inf_l [semilattice_inf α] [semilattice_inf β] (gi : galois_coinsertion l u) (a b : α) :
u (l a ⊓ l b) = a ⊓ b :=
gi.dual.l_sup_u a b
lemma u_infi_l [complete_lattice α] [complete_lattice β] (gi : galois_coinsertion l u)
{ι : Sort x} (f : ι → α) :
u (⨅ i, l (f i)) = ⨅ i, (f i) :=
gi.dual.l_supr_u _
lemma u_Inf_l_image [complete_lattice α] [complete_lattice β] (gi : galois_coinsertion l u)
(s : set α) : u (Inf (l '' s)) = Inf s :=
gi.dual.l_Sup_u_image _
lemma u_sup_l [semilattice_sup α] [semilattice_sup β] (gi : galois_coinsertion l u) (a b : α) :
u (l a ⊔ l b) = a ⊔ b :=
gi.dual.l_inf_u _ _
lemma u_supr_l [complete_lattice α] [complete_lattice β] (gi : galois_coinsertion l u)
{ι : Sort x} (f : ι → α) :
u (⨆ i, l (f i)) = ⨆ i, (f i) :=
gi.dual.l_infi_u _
lemma u_bsupr_l [complete_lattice α] [complete_lattice β] (gi : galois_coinsertion l u)
{ι : Sort x} {p : ι → Prop} (f : Π i (hi : p i), α) :
u (⨆ i hi, l (f i hi)) = ⨆ i hi, f i hi :=
gi.dual.l_binfi_u _
lemma u_Sup_l_image [complete_lattice α] [complete_lattice β] (gi : galois_coinsertion l u)
(s : set α) : u (Sup (l '' s)) = Sup s :=
gi.dual.l_Inf_u_image _
lemma u_supr_of_lu_eq_self [complete_lattice α] [complete_lattice β] (gi : galois_coinsertion l u)
{ι : Sort x} (f : ι → β) (hf : ∀ i, l (u (f i)) = f i) :
u (⨆ i, (f i)) = ⨆ i, u (f i) :=
gi.dual.l_infi_of_ul_eq_self _ hf
lemma u_bsupr_of_lu_eq_self [complete_lattice α] [complete_lattice β] (gi : galois_coinsertion l u)
{ι : Sort x} {p : ι → Prop} (f : Π i (hi : p i), β) (hf : ∀ i hi, l (u (f i hi)) = f i hi) :
u (⨆ i hi, f i hi) = ⨆ i hi, u (f i hi) :=
gi.dual.l_binfi_of_ul_eq_self _ hf
lemma l_le_l_iff [preorder α] [preorder β] (gi : galois_coinsertion l u) {a b} :
l a ≤ l b ↔ a ≤ b :=
gi.dual.u_le_u_iff
lemma strict_mono_l [preorder α] [preorder β] (gi : galois_coinsertion l u) : strict_mono l :=
λ a b h, gi.dual.strict_mono_u h
lemma is_glb_of_l_image [preorder α] [preorder β] (gi : galois_coinsertion l u) {s : set α} {a : β}
(hs : is_glb (l '' s) a) : is_glb s (u a) :=
gi.dual.is_lub_of_u_image hs
lemma is_lub_of_l_image [preorder α] [preorder β] (gi : galois_coinsertion l u) {s : set α} {a : β}
(hs : is_lub (l '' s) a) : is_lub s (u a) :=
gi.dual.is_glb_of_u_image hs
section lift
variables [partial_order α]
/-- Lift the infima along a Galois coinsertion -/
@[reducible] -- See note [reducible non instances]
def lift_semilattice_inf [semilattice_inf β] (gi : galois_coinsertion l u) : semilattice_inf α :=
{ inf := λ a b, u (l a ⊓ l b),
.. ‹partial_order α›, .. @order_dual.semilattice_inf _ gi.dual.lift_semilattice_sup }
/-- Lift the suprema along a Galois coinsertion -/
@[reducible] -- See note [reducible non instances]
def lift_semilattice_sup [semilattice_sup β] (gi : galois_coinsertion l u) : semilattice_sup α :=
{ sup := λ a b, gi.choice (l a ⊔ l b) $
(sup_le (gi.gc.monotone_l $ gi.gc.le_u $ le_sup_left)
(gi.gc.monotone_l $ gi.gc.le_u $ le_sup_right)),
.. ‹partial_order α›, .. @order_dual.semilattice_sup _ gi.dual.lift_semilattice_inf }
/-- Lift the suprema and infima along a Galois coinsertion -/
@[reducible] -- See note [reducible non instances]
def lift_lattice [lattice β] (gi : galois_coinsertion l u) : lattice α :=
{ .. gi.lift_semilattice_sup, .. gi.lift_semilattice_inf }
/-- Lift the bot along a Galois coinsertion -/
@[reducible] -- See note [reducible non instances]
def lift_order_bot [preorder β] [order_bot β] (gi : galois_coinsertion l u) : order_bot α :=
{ bot := gi.choice ⊥ $ bot_le,
.. @order_dual.order_bot _ _ gi.dual.lift_order_top }
/-- Lift the top, bottom, suprema, and infima along a Galois coinsertion -/
@[reducible] -- See note [reducible non instances]
def lift_bounded_order [preorder β] [bounded_order β]
(gi : galois_coinsertion l u) : bounded_order α :=
{ .. gi.lift_order_bot, .. gi.gc.lift_order_top }
/-- Lift all suprema and infima along a Galois coinsertion -/
@[reducible] -- See note [reducible non instances]
def lift_complete_lattice [complete_lattice β] (gi : galois_coinsertion l u) : complete_lattice α :=
{ Inf := λ s, u (Inf (l '' s)),
Sup := λ s, gi.choice (Sup (l '' s)) _,
.. @order_dual.complete_lattice _ gi.dual.lift_complete_lattice }
end lift
end galois_coinsertion
/-- If `α` is a partial order with bottom element (e.g., `ℕ`, `ℝ≥0`), then
`λ o : with_bot α, o.get_or_else ⊥` and coercion form a Galois insertion. -/
def with_bot.gi_get_or_else_bot [preorder α] [order_bot α] :
galois_insertion (λ o : with_bot α, o.get_or_else ⊥) coe :=
{ gc := λ a b, with_bot.get_or_else_bot_le_iff,
le_l_u := λ a, le_rfl,
choice := λ o ho, _,
choice_eq := λ _ _, rfl }
|
7b28cbc115395e62930f7979d4a801fdafd51972 | a9d0fb7b0e4f802bd3857b803e6c5c23d87fef91 | /tests/lean/run/e2.lean | d1075ffb8f23247f870c75a5aa8298377cbf3362 | [
"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 | 47 | lean | prelude
definition Prop := Type.{0}
check Prop
|
359b9f217901626bda14bedff6601543ec96efdc | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/algebra/graded_monoid.lean | e9eda4abd2892e7e141149d5dc0b8c1dec022313 | [
"Apache-2.0"
] | permissive | AntoineChambert-Loir/mathlib | 64aabb896129885f12296a799818061bc90da1ff | 07be904260ab6e36a5769680b6012f03a4727134 | refs/heads/master | 1,693,187,631,771 | 1,636,719,886,000 | 1,636,719,886,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 14,009 | 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.group.inj_surj
import algebra.group_power.basic
import data.set_like.basic
import data.sigma.basic
import group_theory.group_action.defs
/-!
# Additively-graded multiplicative structures
This module provides a set of heterogeneous typeclasses for defining a multiplicative structure
over the sigma type `graded_monoid A` such that `(*) : A i → A j → A (i + j)`; that is to say, `A`
forms an additively-graded monoid. The typeclasses are:
* `graded_monoid.ghas_one A`
* `graded_monoid.ghas_mul A`
* `graded_monoid.gmonoid A`
* `graded_monoid.gcomm_monoid A`
With the `sigma_graded` locale open, these respectively imbue:
* `has_one (graded_monoid A)`
* `has_mul (graded_monoid A)`
* `monoid (graded_monoid A)`
* `comm_monoid (graded_monoid A)`
the base type `A 0` with:
* `graded_monoid.grade_zero.has_one`
* `graded_monoid.grade_zero.has_mul`
* `graded_monoid.grade_zero.monoid`
* `graded_monoid.grade_zero.comm_monoid`
and the `i`th grade `A i` with `A 0`-actions (`•`) defined as left-multiplication:
* (nothing)
* `graded_monoid.grade_zero.has_scalar (A 0)`
* `graded_monoid.grade_zero.mul_action (A 0)`
* (nothing)
For now, these typeclasses are primarily used in the construction of `direct_sum.ring` and the rest
of that file.
## Internally graded monoids
In addition to the above typeclasses, in the most frequent case when `A` is an indexed collection of
`set_like` subobjects (such as `add_submonoid`s, `add_subgroup`s, or `submodule`s), this file
provides the `Prop` typeclasses:
* `set_like.has_graded_one A` (which provides the obvious `graded_monoid.ghas_one A` instance)
* `set_like.has_graded_mul A` (which provides the obvious `graded_monoid.ghas_mul A` instance)
* `set_like.graded_monoid A` (which provides the obvious `graded_monoid.gmonoid A` and
`graded_monoid.gcomm_monoid A` instances)
Strictly this last class is unecessary as it has no fields not present in its parents, but it is
included for convenience. Note that there is no need for `graded_ring` or similar, as all the
information it would contain is already supplied by `graded_monoid` when `A` is a collection
of additively-closed set_like objects such as `submodules`. These constructions are explored in
`algebra.direct_sum.internal`.
## tags
graded monoid
-/
set_option old_structure_cmd true
variables {ι : Type*}
/-- A type alias of sigma types for graded monoids. -/
def graded_monoid (A : ι → Type*) := sigma A
namespace graded_monoid
instance {A : ι → Type*} [inhabited ι] [inhabited (A (default ι))]: inhabited (graded_monoid A) :=
sigma.inhabited
/-- Construct an element of a graded monoid. -/
def mk {A : ι → Type*} : Π i, A i → graded_monoid A := sigma.mk
/-! ### Typeclasses -/
section defs
variables (A : ι → Type*)
/-- A graded version of `has_one`, which must be of grade 0. -/
class ghas_one [has_zero ι] :=
(one : A 0)
/-- `ghas_one` implies `has_one (graded_monoid A)` -/
instance ghas_one.to_has_one [has_zero ι] [ghas_one A] : has_one (graded_monoid A) :=
⟨⟨_, ghas_one.one⟩⟩
/-- A graded version of `has_mul`. Multiplication combines grades additively, like
`add_monoid_algebra`. -/
class ghas_mul [has_add ι] :=
(mul {i j} : A i → A j → A (i + j))
/-- `ghas_mul` implies `has_mul (graded_monoid A)`. -/
instance ghas_mul.to_has_mul [has_add ι] [ghas_mul A] :
has_mul (graded_monoid A) :=
⟨λ (x y : graded_monoid A), ⟨_, ghas_mul.mul x.snd y.snd⟩⟩
lemma mk_mul_mk [has_add ι] [ghas_mul A] {i j} (a : A i) (b : A j) :
mk i a * mk j b = mk (i + j) (ghas_mul.mul a b) :=
rfl
namespace gmonoid
variables {A} [add_monoid ι] [ghas_mul A] [ghas_one A]
/-- A default implementation of power on a graded monoid, like `npow_rec`.
`gmonoid.gnpow` should be used instead. -/
def gnpow_rec : Π (n : ℕ) {i}, A i → A (n • i)
| 0 i a := cast (congr_arg A (zero_nsmul i).symm) ghas_one.one
| (n + 1) i a := cast (congr_arg A (succ_nsmul i n).symm) (ghas_mul.mul a $ gnpow_rec _ a)
@[simp] lemma gnpow_rec_zero (a : graded_monoid A) : graded_monoid.mk _ (gnpow_rec 0 a.snd) = 1 :=
sigma.ext (zero_nsmul _) (heq_of_cast_eq _ rfl).symm
/-- Tactic used to autofill `graded_monoid.gmonoid.gnpow_zero'` when the default
`graded_monoid.gmonoid.gnpow_rec` is used. -/
meta def apply_gnpow_rec_zero_tac : tactic unit := `[apply direct_sum.gmonoid.gnpow_rec_zero]
@[simp] lemma gnpow_rec_succ (n : ℕ) (a : graded_monoid A) :
(graded_monoid.mk _ $ gnpow_rec n.succ a.snd) = a * ⟨_, gnpow_rec n a.snd⟩ :=
sigma.ext (succ_nsmul _ _) (heq_of_cast_eq _ rfl).symm
/-- Tactic used to autofill `graded_monoid.gmonoid.gnpow_succ'` when the default
`graded_monoid.gmonoid.gnpow_rec` is used. -/
meta def apply_gnpow_rec_succ_tac : tactic unit := `[apply direct_sum.gmonoid.gnpow_rec_succ]
end gmonoid
/-- A graded version of `monoid`.
Like `monoid.npow`, this has an optional `gmonoid.gnpow` field to allow definitional control of
natural powers of a graded monoid. -/
class gmonoid [add_monoid ι] extends ghas_mul A, ghas_one A :=
(one_mul (a : graded_monoid A) : 1 * a = a)
(mul_one (a : graded_monoid A) : a * 1 = a)
(mul_assoc (a b c : graded_monoid A) : a * b * c = a * (b * c))
(gnpow : Π (n : ℕ) {i}, A i → A (n • i) := gmonoid.gnpow_rec)
(gnpow_zero' : Π (a : graded_monoid A), graded_monoid.mk _ (gnpow 0 a.snd) = 1
. gmonoid.apply_gnpow_rec_zero_tac)
(gnpow_succ' : Π (n : ℕ) (a : graded_monoid A),
(graded_monoid.mk _ $ gnpow n.succ a.snd) = a * ⟨_, gnpow n a.snd⟩
. gmonoid.apply_gnpow_rec_succ_tac)
/-- `gmonoid` implies a `monoid (graded_monoid A)`. -/
instance gmonoid.to_monoid [add_monoid ι] [gmonoid A] :
monoid (graded_monoid A) :=
{ one := (1), mul := (*),
npow := λ n a, graded_monoid.mk _ (gmonoid.gnpow n a.snd),
npow_zero' := λ a, gmonoid.gnpow_zero' a,
npow_succ' := λ n a, gmonoid.gnpow_succ' n a,
one_mul := gmonoid.one_mul, mul_one := gmonoid.mul_one, mul_assoc := gmonoid.mul_assoc }
lemma mk_pow [add_monoid ι] [gmonoid A] {i} (a : A i) (n : ℕ) :
mk i a ^ n = mk (n • i) (gmonoid.gnpow _ a) :=
begin
induction n with n,
{ rw [pow_zero],
exact (gmonoid.gnpow_zero' ⟨_, a⟩).symm, },
{ rw [pow_succ, n_ih, mk_mul_mk],
exact (gmonoid.gnpow_succ' n ⟨_, a⟩).symm, },
end
/-- A graded version of `comm_monoid`. -/
class gcomm_monoid [add_comm_monoid ι] extends gmonoid A :=
(mul_comm (a : graded_monoid A) (b : graded_monoid A) : a * b = b * a)
/-- `gcomm_monoid` implies a `comm_monoid (graded_monoid A)`, although this is only used as an
instance locally to define notation in `gmonoid` and similar typeclasses. -/
instance gcomm_monoid.to_comm_monoid [add_comm_monoid ι] [gcomm_monoid A] :
comm_monoid (graded_monoid A) :=
{ mul_comm := gcomm_monoid.mul_comm, ..gmonoid.to_monoid A }
end defs
/-! ### Instances for `A 0`
The various `g*` instances are enough to promote the `add_comm_monoid (A 0)` structure to various
types of multiplicative structure.
-/
section grade_zero
variables (A : ι → Type*)
section one
variables [has_zero ι] [ghas_one A]
/-- `1 : A 0` is the value provided in `ghas_one.one`. -/
@[nolint unused_arguments]
instance grade_zero.has_one : has_one (A 0) :=
⟨ghas_one.one⟩
end one
section mul
variables [add_monoid ι] [ghas_mul A]
/-- `(•) : A 0 → A i → A i` is the value provided in `direct_sum.ghas_mul.mul`, composed with
an `eq.rec` to turn `A (0 + i)` into `A i`.
-/
instance grade_zero.has_scalar (i : ι) : has_scalar (A 0) (A i) :=
{ smul := λ x y, (zero_add i).rec (ghas_mul.mul x y) }
/-- `(*) : A 0 → A 0 → A 0` is the value provided in `direct_sum.ghas_mul.mul`, composed with
an `eq.rec` to turn `A (0 + 0)` into `A 0`.
-/
instance grade_zero.has_mul : has_mul (A 0) :=
{ mul := (•) }
variables {A}
@[simp] lemma mk_zero_smul {i} (a : A 0) (b : A i) : mk _ (a • b) = mk _ a * mk _ b :=
sigma.ext (zero_add _).symm $ eq_rec_heq _ _
@[simp] lemma grade_zero.smul_eq_mul (a b : A 0) : a • b = a * b := rfl
end mul
section monoid
variables [add_monoid ι] [gmonoid A]
/-- The `monoid` structure derived from `gmonoid A`. -/
instance grade_zero.monoid : monoid (A 0) :=
function.injective.monoid (mk 0) sigma_mk_injective rfl mk_zero_smul
end monoid
section monoid
variables [add_comm_monoid ι] [gcomm_monoid A]
/-- The `comm_monoid` structure derived from `gcomm_monoid A`. -/
instance grade_zero.comm_monoid : comm_monoid (A 0) :=
function.injective.comm_monoid (mk 0) sigma_mk_injective rfl mk_zero_smul
end monoid
section mul_action
variables [add_monoid ι] [gmonoid A]
/-- `graded_monoid.mk 0` is a `monoid_hom`, using the `graded_monoid.grade_zero.monoid` structure.
-/
def mk_zero_monoid_hom : A 0 →* (graded_monoid A) :=
{ to_fun := mk 0, map_one' := rfl, map_mul' := mk_zero_smul }
/-- Each grade `A i` derives a `A 0`-action structure from `gmonoid A`. -/
instance grade_zero.mul_action {i} : mul_action (A 0) (A i) :=
begin
letI := mul_action.comp_hom (graded_monoid A) (mk_zero_monoid_hom A),
exact function.injective.mul_action (mk i) sigma_mk_injective mk_zero_smul,
end
end mul_action
end grade_zero
end graded_monoid
/-! ### Concrete instances -/
section
variables (ι) {R : Type*}
@[simps one]
instance has_one.ghas_one [has_zero ι] [has_one R] : graded_monoid.ghas_one (λ i : ι, R) :=
{ one := 1 }
@[simps mul]
instance has_mul.ghas_mul [has_add ι] [has_mul R] : graded_monoid.ghas_mul (λ i : ι, R) :=
{ mul := λ i j, (*) }
/-- If all grades are the same type and themselves form a monoid, then there is a trivial grading
structure. -/
@[simps gnpow]
instance monoid.gmonoid [add_monoid ι] [monoid R] : graded_monoid.gmonoid (λ i : ι, R) :=
{ one_mul := λ a, sigma.ext (zero_add _) (heq_of_eq (one_mul _)),
mul_one := λ a, sigma.ext (add_zero _) (heq_of_eq (mul_one _)),
mul_assoc := λ a b c, sigma.ext (add_assoc _ _ _) (heq_of_eq (mul_assoc _ _ _)),
gnpow := λ n i a, a ^ n,
gnpow_zero' := λ a, sigma.ext (zero_nsmul _) (heq_of_eq (monoid.npow_zero' _)),
gnpow_succ' := λ n ⟨i, a⟩, sigma.ext (succ_nsmul _ _) (heq_of_eq (monoid.npow_succ' _ _)),
..has_one.ghas_one ι,
..has_mul.ghas_mul ι }
/-- If all grades are the same type and themselves form a commutative monoid, then there is a
trivial grading structure. -/
instance comm_monoid.gcomm_monoid [add_comm_monoid ι] [comm_monoid R] :
graded_monoid.gcomm_monoid (λ i : ι, R) :=
{ mul_comm := λ a b, sigma.ext (add_comm _ _) (heq_of_eq (mul_comm _ _)),
..monoid.gmonoid ι }
end
/-! ### Shorthands for creating instance of the above typeclasses for collections of subobjects -/
section subobjects
variables {R : Type*}
/-- A version of `graded_monoid.ghas_one` for internally graded objects. -/
class set_like.has_graded_one {S : Type*} [set_like S R] [has_one R] [has_zero ι]
(A : ι → S) : Prop :=
(one_mem : (1 : R) ∈ A 0)
instance set_like.ghas_one {S : Type*} [set_like S R] [has_one R] [has_zero ι] (A : ι → S)
[set_like.has_graded_one A] : graded_monoid.ghas_one (λ i, A i) :=
{ one := ⟨1, set_like.has_graded_one.one_mem⟩ }
@[simp] lemma set_like.coe_ghas_one {S : Type*} [set_like S R] [has_one R] [has_zero ι] (A : ι → S)
[set_like.has_graded_one A] : ↑(@graded_monoid.ghas_one.one _ (λ i, A i) _ _) = (1 : R) := rfl
/-- A version of `graded_monoid.ghas_one` for internally graded objects. -/
class set_like.has_graded_mul {S : Type*} [set_like S R] [has_mul R] [has_add ι]
(A : ι → S) : Prop :=
(mul_mem : ∀ ⦃i j⦄ {gi gj}, gi ∈ A i → gj ∈ A j → gi * gj ∈ A (i + j))
instance set_like.ghas_mul {S : Type*} [set_like S R] [has_mul R] [has_add ι] (A : ι → S)
[set_like.has_graded_mul A] :
graded_monoid.ghas_mul (λ i, A i) :=
{ mul := λ i j a b, ⟨(a * b : R), set_like.has_graded_mul.mul_mem a.prop b.prop⟩ }
@[simp] lemma set_like.coe_ghas_mul {S : Type*} [set_like S R] [has_mul R] [has_add ι] (A : ι → S)
[set_like.has_graded_mul A] {i j : ι} (x : A i) (y : A j) :
↑(@graded_monoid.ghas_mul.mul _ (λ i, A i) _ _ _ _ x y) = (x * y : R) := rfl
/-- A version of `graded_monoid.gmonoid` for internally graded objects. -/
class set_like.graded_monoid {S : Type*} [set_like S R] [monoid R] [add_monoid ι]
(A : ι → S) extends set_like.has_graded_one A, set_like.has_graded_mul A : Prop
/-- Build a `gmonoid` instance for a collection of subobjects. -/
instance set_like.gmonoid {S : Type*} [set_like S R] [monoid R] [add_monoid ι] (A : ι → S)
[set_like.graded_monoid A] :
graded_monoid.gmonoid (λ i, A i) :=
{ one_mul := λ ⟨i, a, h⟩, sigma.subtype_ext (zero_add _) (one_mul _),
mul_one := λ ⟨i, a, h⟩, sigma.subtype_ext (add_zero _) (mul_one _),
mul_assoc := λ ⟨i, a, ha⟩ ⟨j, b, hb⟩ ⟨k, c, hc⟩,
sigma.subtype_ext (add_assoc _ _ _) (mul_assoc _ _ _),
gnpow := λ n i a, ⟨a ^ n, begin
induction n,
{ rw [pow_zero, zero_nsmul], exact set_like.has_graded_one.one_mem },
{ rw [pow_succ', succ_nsmul'], exact set_like.has_graded_mul.mul_mem n_ih a.prop },
end⟩,
gnpow_zero' := λ n, sigma.subtype_ext (zero_nsmul _) (pow_zero _),
gnpow_succ' := λ n a, sigma.subtype_ext (succ_nsmul _ _) (pow_succ _ _),
..set_like.ghas_one A,
..set_like.ghas_mul A }
@[simp] lemma set_like.coe_gpow {S : Type*} [set_like S R] [monoid R] [add_monoid ι] (A : ι → S)
[set_like.graded_monoid A] {i : ι} (x : A i) (n : ℕ) :
↑(@graded_monoid.gmonoid.gnpow _ (λ i, A i) _ _ n _ x) = (x ^ n : R) := rfl
/-- Build a `gcomm_monoid` instance for a collection of subobjects. -/
instance set_like.gcomm_monoid {S : Type*} [set_like S R] [comm_monoid R] [add_comm_monoid ι]
(A : ι → S) [set_like.graded_monoid A] :
graded_monoid.gcomm_monoid (λ i, A i) :=
{ mul_comm := λ ⟨i, a, ha⟩ ⟨j, b, hb⟩, sigma.subtype_ext (add_comm _ _) (mul_comm _ _),
..set_like.gmonoid A}
end subobjects
|
61fa1275518b0b7eb1f23edfe7511964edf8887f | 3aad12fe82645d2d3173fbedc2e5c2ba945a4d75 | /src/data/pfun/nursery.lean | 7d858de558b90091a742c613fd9f98b0be7e7c6c | [] | no_license | seanpm2001/LeanProver-Community_MathLIB-Nursery | 4f88d539cb18d73a94af983092896b851e6640b5 | 0479b31fa5b4d39f41e89b8584c9f5bf5271e8ec | refs/heads/master | 1,688,730,786,645 | 1,572,070,026,000 | 1,572,070,026,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,120 | lean | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Simon Hudon
-/
import data.pfun
namespace roption
variables {α : Type*} {β : Type*} {γ : Type*}
open function
lemma assert_if_neg {p : Prop}
(x : p → roption α)
(h : ¬ p)
: assert p x = roption.none :=
by { dsimp [assert,roption.none],
have : (∃ (h : p), (x h).dom) ↔ false,
{ split ; intros h' ; repeat { cases h' with h' },
exact h h' },
congr,
repeat { rw this <|> apply hfunext },
intros h h', cases h', }
lemma assert_if_pos {p : Prop}
(x : p → roption α)
(h : p)
: assert p x = x h :=
by { dsimp [assert],
have : (∃ (h : p), (x h).dom) ↔ (x h).dom,
{ split ; intros h'
; cases h' <|> split
; assumption, },
cases hx : x h, congr, rw [this,hx],
apply hfunext, rw [this,hx],
intros, simp [hx] }
@[simp]
lemma roption.none_bind {α β : Type*} (f : α → roption β)
: roption.none >>= f = roption.none :=
by simp [roption.none,has_bind.bind,roption.bind,assert_if_neg]
end roption
|
7a8a3f34ddeb0e47894c59e85fe5a51b760d6840 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/algebra/lie/subalgebra.lean | b994a6914b853d96fd09504392e3687c59a9210e | [
"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 | 23,371 | lean | /-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import algebra.lie.basic
import ring_theory.noetherian
/-!
# Lie subalgebras
This file defines Lie subalgebras of a Lie algebra and provides basic related definitions and
results.
## Main definitions
* `lie_subalgebra`
* `lie_subalgebra.incl`
* `lie_subalgebra.map`
* `lie_hom.range`
* `lie_equiv.of_injective`
* `lie_equiv.of_eq`
* `lie_equiv.of_subalgebra`
* `lie_equiv.of_subalgebras`
## Tags
lie algebra, lie subalgebra
-/
universes u v w w₁ w₂
section lie_subalgebra
variables (R : Type u) (L : Type v) [comm_ring R] [lie_ring L] [lie_algebra R L]
/-- A Lie subalgebra of a Lie algebra is submodule that is closed under the Lie bracket.
This is a sufficient condition for the subset itself to form a Lie algebra. -/
structure lie_subalgebra extends submodule R L :=
(lie_mem' : ∀ {x y}, x ∈ carrier → y ∈ carrier → ⁅x, y⁆ ∈ carrier)
attribute [nolint doc_blame] lie_subalgebra.to_submodule
/-- The zero algebra is a subalgebra of any Lie algebra. -/
instance : has_zero (lie_subalgebra R L) :=
⟨{ lie_mem' := λ x y hx hy, by { rw [((submodule.mem_bot R).1 hx), zero_lie],
exact submodule.zero_mem (0 : submodule R L), },
..(0 : submodule R L) }⟩
instance : inhabited (lie_subalgebra R L) := ⟨0⟩
instance : has_coe (lie_subalgebra R L) (submodule R L) := ⟨lie_subalgebra.to_submodule⟩
namespace lie_subalgebra
instance : set_like (lie_subalgebra R L) L :=
{ coe := λ L', L',
coe_injective' := λ L' L'' h, by { rcases L' with ⟨⟨⟩⟩, rcases L'' with ⟨⟨⟩⟩, congr' } }
instance : add_subgroup_class (lie_subalgebra R L) L :=
{ add_mem := λ L' _ _, L'.add_mem',
zero_mem := λ L', L'.zero_mem',
neg_mem := λ L' x hx, show -x ∈ (L' : submodule R L), from neg_mem hx }
/-- A Lie subalgebra forms a new Lie ring. -/
instance (L' : lie_subalgebra R L) : lie_ring L' :=
{ bracket := λ x y, ⟨⁅x.val, y.val⁆, L'.lie_mem' x.property y.property⟩,
lie_add := by { intros, apply set_coe.ext, apply lie_add, },
add_lie := by { intros, apply set_coe.ext, apply add_lie, },
lie_self := by { intros, apply set_coe.ext, apply lie_self, },
leibniz_lie := by { intros, apply set_coe.ext, apply leibniz_lie, } }
section
variables {R₁ : Type*} [semiring R₁]
/-- A Lie subalgebra inherits module structures from `L`. -/
instance [has_smul R₁ R] [module R₁ L] [is_scalar_tower R₁ R L]
(L' : lie_subalgebra R L) : module R₁ L' :=
L'.to_submodule.module'
instance [has_smul R₁ R] [has_smul R₁ᵐᵒᵖ R] [module R₁ L] [module R₁ᵐᵒᵖ L]
[is_scalar_tower R₁ R L] [is_scalar_tower R₁ᵐᵒᵖ R L] [is_central_scalar R₁ L]
(L' : lie_subalgebra R L) : is_central_scalar R₁ L' :=
L'.to_submodule.is_central_scalar
instance [has_smul R₁ R] [module R₁ L] [is_scalar_tower R₁ R L]
(L' : lie_subalgebra R L) : is_scalar_tower R₁ R L' :=
L'.to_submodule.is_scalar_tower
instance (L' : lie_subalgebra R L) [is_noetherian R L] : is_noetherian R L' :=
is_noetherian_submodule' ↑L'
end
/-- A Lie subalgebra forms a new Lie algebra. -/
instance (L' : lie_subalgebra R L) : lie_algebra R L' :=
{ lie_smul := by { intros, apply set_coe.ext, apply lie_smul } }
variables {R L} (L' : lie_subalgebra R L)
@[simp] protected lemma zero_mem : (0 : L) ∈ L' := zero_mem L'
protected lemma add_mem {x y : L} : x ∈ L' → y ∈ L' → (x + y : L) ∈ L' := add_mem
protected lemma sub_mem {x y : L} : x ∈ L' → y ∈ L' → (x - y : L) ∈ L' := sub_mem
lemma smul_mem (t : R) {x : L} (h : x ∈ L') : t • x ∈ L' := (L' : submodule R L).smul_mem t h
lemma lie_mem {x y : L} (hx : x ∈ L') (hy : y ∈ L') : (⁅x, y⁆ : L) ∈ L' := L'.lie_mem' hx hy
@[simp] lemma mem_carrier {x : L} : x ∈ L'.carrier ↔ x ∈ (L' : set L) := iff.rfl
@[simp] lemma mem_mk_iff (S : set L) (h₁ h₂ h₃ h₄) {x : L} :
x ∈ (⟨⟨S, h₁, h₂, h₃⟩, h₄⟩ : lie_subalgebra R L) ↔ x ∈ S :=
iff.rfl
@[simp] lemma mem_coe_submodule {x : L} : x ∈ (L' : submodule R L) ↔ x ∈ L' := iff.rfl
lemma mem_coe {x : L} : x ∈ (L' : set L) ↔ x ∈ L' := iff.rfl
@[simp, norm_cast] lemma coe_bracket (x y : L') : (↑⁅x, y⁆ : L) = ⁅(↑x : L), ↑y⁆ := rfl
lemma ext_iff (x y : L') : x = y ↔ (x : L) = y := subtype.ext_iff
lemma coe_zero_iff_zero (x : L') : (x : L) = 0 ↔ x = 0 := (ext_iff L' x 0).symm
@[ext] lemma ext (L₁' L₂' : lie_subalgebra R L) (h : ∀ x, x ∈ L₁' ↔ x ∈ L₂') :
L₁' = L₂' :=
set_like.ext h
lemma ext_iff' (L₁' L₂' : lie_subalgebra R L) : L₁' = L₂' ↔ ∀ x, x ∈ L₁' ↔ x ∈ L₂' :=
set_like.ext_iff
@[simp] lemma mk_coe (S : set L) (h₁ h₂ h₃ h₄) :
((⟨⟨S, h₁, h₂, h₃⟩, h₄⟩ : lie_subalgebra R L) : set L) = S := rfl
@[simp] lemma coe_to_submodule_mk (p : submodule R L) (h) :
(({lie_mem' := h, ..p} : lie_subalgebra R L) : submodule R L) = p :=
by { cases p, refl, }
lemma coe_injective : function.injective (coe : lie_subalgebra R L → set L) :=
set_like.coe_injective
@[norm_cast] theorem coe_set_eq (L₁' L₂' : lie_subalgebra R L) :
(L₁' : set L) = L₂' ↔ L₁' = L₂' := set_like.coe_set_eq
lemma to_submodule_injective :
function.injective (coe : lie_subalgebra R L → submodule R L) :=
λ L₁' L₂' h, by { rw set_like.ext'_iff at h, rw ← coe_set_eq, exact h, }
@[simp] lemma coe_to_submodule_eq_iff (L₁' L₂' : lie_subalgebra R L) :
(L₁' : submodule R L) = (L₂' : submodule R L) ↔ L₁' = L₂' :=
to_submodule_injective.eq_iff
@[norm_cast]
lemma coe_to_submodule : ((L' : submodule R L) : set L) = L' := rfl
section lie_module
variables {M : Type w} [add_comm_group M] [lie_ring_module L M]
variables {N : Type w₁} [add_comm_group N] [lie_ring_module L N] [module R N] [lie_module R L N]
/-- Given a Lie algebra `L` containing a Lie subalgebra `L' ⊆ L`, together with a Lie ring module
`M` of `L`, we may regard `M` as a Lie ring module of `L'` by restriction. -/
instance : lie_ring_module L' M :=
{ bracket := λ x m, ⁅(x : L), m⁆,
add_lie := λ x y m, add_lie x y m,
lie_add := λ x y m, lie_add x y m,
leibniz_lie := λ x y m, leibniz_lie x y m, }
@[simp] lemma coe_bracket_of_module (x : L') (m : M) : ⁅x, m⁆ = ⁅(x : L), m⁆ := rfl
variables [module R M] [lie_module R L M]
/-- Given a Lie algebra `L` containing a Lie subalgebra `L' ⊆ L`, together with a Lie module `M` of
`L`, we may regard `M` as a Lie module of `L'` by restriction. -/
instance : lie_module R L' M :=
{ smul_lie := λ t x m, by simp only [coe_bracket_of_module, smul_lie, submodule.coe_smul_of_tower],
lie_smul := λ t x m, by simp only [coe_bracket_of_module, lie_smul], }
/-- An `L`-equivariant map of Lie modules `M → N` is `L'`-equivariant for any Lie subalgebra
`L' ⊆ L`. -/
def _root_.lie_module_hom.restrict_lie (f : M →ₗ⁅R,L⁆ N) (L' : lie_subalgebra R L) : M →ₗ⁅R,L'⁆ N :=
{ map_lie' := λ x m, f.map_lie ↑x m,
.. (f : M →ₗ[R] N)}
@[simp] lemma _root_.lie_module_hom.coe_restrict_lie (f : M →ₗ⁅R,L⁆ N) :
⇑(f.restrict_lie L') = f :=
rfl
end lie_module
/-- The embedding of a Lie subalgebra into the ambient space as a morphism of Lie algebras. -/
def incl : L' →ₗ⁅R⁆ L :=
{ map_lie' := λ x y, by { simp only [linear_map.to_fun_eq_coe, submodule.subtype_apply], refl, },
.. (L' : submodule R L).subtype, }
@[simp] lemma coe_incl : ⇑L'.incl = coe := rfl
/-- The embedding of a Lie subalgebra into the ambient space as a morphism of Lie modules. -/
def incl' : L' →ₗ⁅R,L'⁆ L :=
{ map_lie' := λ x y, by simp only [coe_bracket_of_module, linear_map.to_fun_eq_coe,
submodule.subtype_apply, coe_bracket],
.. (L' : submodule R L).subtype, }
@[simp] lemma coe_incl' : ⇑L'.incl' = coe := rfl
end lie_subalgebra
variables {R L} {L₂ : Type w} [lie_ring L₂] [lie_algebra R L₂]
variables (f : L →ₗ⁅R⁆ L₂)
namespace lie_hom
/-- The range of a morphism of Lie algebras is a Lie subalgebra. -/
def range : lie_subalgebra R L₂ :=
{ lie_mem' := λ x y,
show x ∈ f.to_linear_map.range → y ∈ f.to_linear_map.range → ⁅x, y⁆ ∈ f.to_linear_map.range,
by { repeat { rw linear_map.mem_range }, rintros ⟨x', hx⟩ ⟨y', hy⟩, refine ⟨⁅x', y'⁆, _⟩,
rw [←hx, ←hy], change f ⁅x', y'⁆ = ⁅f x', f y'⁆, rw map_lie, },
..(f : L →ₗ[R] L₂).range }
@[simp] lemma range_coe : (f.range : set L₂) = set.range f :=
linear_map.range_coe ↑f
@[simp] lemma mem_range (x : L₂) : x ∈ f.range ↔ ∃ (y : L), f y = x := linear_map.mem_range
lemma mem_range_self (x : L) : f x ∈ f.range := linear_map.mem_range_self f x
/-- We can restrict a morphism to a (surjective) map to its range. -/
def range_restrict : L →ₗ⁅R⁆ f.range :=
{ map_lie' := λ x y, by { apply subtype.ext, exact f.map_lie x y, },
..(f : L →ₗ[R] L₂).range_restrict, }
@[simp] lemma range_restrict_apply (x : L) : f.range_restrict x = ⟨f x, f.mem_range_self x⟩ := rfl
lemma surjective_range_restrict : function.surjective (f.range_restrict) :=
begin
rintros ⟨y, hy⟩,
erw mem_range at hy, obtain ⟨x, rfl⟩ := hy,
use x,
simp only [subtype.mk_eq_mk, range_restrict_apply],
end
/-- A Lie algebra is equivalent to its range under an injective Lie algebra morphism. -/
noncomputable def equiv_range_of_injective (h : function.injective f) : L ≃ₗ⁅R⁆ f.range :=
lie_equiv.of_bijective f.range_restrict (λ x y hxy,
begin
simp only [subtype.mk_eq_mk, range_restrict_apply] at hxy,
exact h hxy,
end) f.surjective_range_restrict
@[simp] lemma equiv_range_of_injective_apply (h : function.injective f) (x : L) :
f.equiv_range_of_injective h x = ⟨f x, mem_range_self f x⟩ :=
rfl
end lie_hom
lemma submodule.exists_lie_subalgebra_coe_eq_iff (p : submodule R L) :
(∃ (K : lie_subalgebra R L), ↑K = p) ↔ ∀ (x y : L), x ∈ p → y ∈ p → ⁅x, y⁆ ∈ p :=
begin
split,
{ rintros ⟨K, rfl⟩ _ _, exact K.lie_mem', },
{ intros h, use { lie_mem' := h, ..p }, exact lie_subalgebra.coe_to_submodule_mk p _, },
end
namespace lie_subalgebra
variables (K K' : lie_subalgebra R L) (K₂ : lie_subalgebra R L₂)
@[simp] lemma incl_range : K.incl.range = K :=
by { rw ← coe_to_submodule_eq_iff, exact (K : submodule R L).range_subtype, }
/-- The image of a Lie subalgebra under a Lie algebra morphism is a Lie subalgebra of the
codomain. -/
def map : lie_subalgebra R L₂ :=
{ lie_mem' := λ x y hx hy, by
{ erw submodule.mem_map at hx, rcases hx with ⟨x', hx', hx⟩, rw ←hx,
erw submodule.mem_map at hy, rcases hy with ⟨y', hy', hy⟩, rw ←hy,
erw submodule.mem_map,
exact ⟨⁅x', y'⁆, K.lie_mem hx' hy', f.map_lie x' y'⟩, },
..((K : submodule R L).map (f : L →ₗ[R] L₂)) }
@[simp] lemma mem_map (x : L₂) : x ∈ K.map f ↔ ∃ (y : L), y ∈ K ∧ f y = x := submodule.mem_map
-- TODO Rename and state for homs instead of equivs.
@[simp] lemma mem_map_submodule (e : L ≃ₗ⁅R⁆ L₂) (x : L₂) :
x ∈ K.map (e : L →ₗ⁅R⁆ L₂) ↔ x ∈ (K : submodule R L).map (e : L →ₗ[R] L₂) :=
iff.rfl
/-- The preimage of a Lie subalgebra under a Lie algebra morphism is a Lie subalgebra of the
domain. -/
def comap : lie_subalgebra R L :=
{ lie_mem' := λ x y hx hy, by
{ suffices : ⁅f x, f y⁆ ∈ K₂, by { simp [this], }, exact K₂.lie_mem hx hy, },
..((K₂ : submodule R L₂).comap (f : L →ₗ[R] L₂)), }
section lattice_structure
open set
instance : partial_order (lie_subalgebra R L) :=
{ le := λ N N', ∀ ⦃x⦄, x ∈ N → x ∈ N', -- Overriding `le` like this gives a better defeq.
..partial_order.lift (coe : lie_subalgebra R L → set L) coe_injective }
lemma le_def : K ≤ K' ↔ (K : set L) ⊆ K' := iff.rfl
@[simp, norm_cast] lemma coe_submodule_le_coe_submodule : (K : submodule R L) ≤ K' ↔ K ≤ K' :=
iff.rfl
instance : has_bot (lie_subalgebra R L) := ⟨0⟩
@[simp] lemma bot_coe : ((⊥ : lie_subalgebra R L) : set L) = {0} := rfl
@[simp] lemma bot_coe_submodule : ((⊥ : lie_subalgebra R L) : submodule R L) = ⊥ := rfl
@[simp] lemma mem_bot (x : L) : x ∈ (⊥ : lie_subalgebra R L) ↔ x = 0 := mem_singleton_iff
instance : has_top (lie_subalgebra R L) :=
⟨{ lie_mem' := λ x y hx hy, mem_univ ⁅x, y⁆,
..(⊤ : submodule R L) }⟩
@[simp] lemma top_coe : ((⊤ : lie_subalgebra R L) : set L) = univ := rfl
@[simp] lemma top_coe_submodule : ((⊤ : lie_subalgebra R L) : submodule R L) = ⊤ := rfl
@[simp] lemma mem_top (x : L) : x ∈ (⊤ : lie_subalgebra R L) := mem_univ x
lemma _root_.lie_hom.range_eq_map : f.range = map f ⊤ :=
by { ext, simp }
instance : has_inf (lie_subalgebra R L) :=
⟨λ K K', { lie_mem' := λ x y hx hy, mem_inter (K.lie_mem hx.1 hy.1) (K'.lie_mem hx.2 hy.2),
..(K ⊓ K' : submodule R L) }⟩
instance : has_Inf (lie_subalgebra R L) :=
⟨λ S, { lie_mem' := λ x y hx hy, by
{ simp only [submodule.mem_carrier, mem_Inter, submodule.Inf_coe, mem_set_of_eq,
forall_apply_eq_imp_iff₂, exists_imp_distrib] at *,
intros K hK, exact K.lie_mem (hx K hK) (hy K hK), },
..Inf {(s : submodule R L) | s ∈ S} }⟩
@[simp] theorem inf_coe : (↑(K ⊓ K') : set L) = K ∩ K' := rfl
@[simp] lemma Inf_coe_to_submodule (S : set (lie_subalgebra R L)) :
(↑(Inf S) : submodule R L) = Inf {(s : submodule R L) | s ∈ S} := rfl
@[simp] lemma Inf_coe (S : set (lie_subalgebra R L)) : (↑(Inf S) : set L) = ⋂ s ∈ S, (s : set L) :=
begin
rw [← coe_to_submodule, Inf_coe_to_submodule, submodule.Inf_coe],
ext x,
simpa only [mem_Inter, mem_set_of_eq, forall_apply_eq_imp_iff₂, exists_imp_distrib],
end
lemma Inf_glb (S : set (lie_subalgebra R L)) : is_glb S (Inf S) :=
begin
have h : ∀ (K K' : lie_subalgebra R L), (K : set L) ≤ K' ↔ K ≤ K', { intros, exact iff.rfl, },
apply is_glb.of_image h,
simp only [Inf_coe],
exact is_glb_binfi
end
/-- The set of Lie subalgebras of a Lie algebra form a complete lattice.
We provide explicit values for the fields `bot`, `top`, `inf` to get more convenient definitions
than we would otherwise obtain from `complete_lattice_of_Inf`. -/
instance : complete_lattice (lie_subalgebra R L) :=
{ bot := ⊥,
bot_le := λ N _ h, by { rw mem_bot at h, rw h, exact N.zero_mem', },
top := ⊤,
le_top := λ _ _ _, trivial,
inf := (⊓),
le_inf := λ N₁ N₂ N₃ h₁₂ h₁₃ m hm, ⟨h₁₂ hm, h₁₃ hm⟩,
inf_le_left := λ _ _ _, and.left,
inf_le_right := λ _ _ _, and.right,
..complete_lattice_of_Inf _ Inf_glb }
instance : add_comm_monoid (lie_subalgebra R L) :=
{ add := (⊔),
add_assoc := λ _ _ _, sup_assoc,
zero := ⊥,
zero_add := λ _, bot_sup_eq,
add_zero := λ _, sup_bot_eq,
add_comm := λ _ _, sup_comm, }
instance : canonically_ordered_add_monoid (lie_subalgebra R L) :=
{ add_le_add_left := λ a b, sup_le_sup_left,
exists_add_of_le := λ a b h, ⟨b, (sup_eq_right.2 h).symm⟩,
le_self_add := λ a b, le_sup_left,
..lie_subalgebra.add_comm_monoid,
..lie_subalgebra.complete_lattice }
@[simp] lemma add_eq_sup : K + K' = K ⊔ K' := rfl
@[norm_cast, simp] lemma inf_coe_to_submodule :
(↑(K ⊓ K') : submodule R L) = (K : submodule R L) ⊓ (K' : submodule R L) := rfl
@[simp] lemma mem_inf (x : L) : x ∈ K ⊓ K' ↔ x ∈ K ∧ x ∈ K' :=
by rw [← mem_coe_submodule, ← mem_coe_submodule, ← mem_coe_submodule, inf_coe_to_submodule,
submodule.mem_inf]
lemma eq_bot_iff : K = ⊥ ↔ ∀ (x : L), x ∈ K → x = 0 :=
by { rw eq_bot_iff, exact iff.rfl, }
instance subsingleton_of_bot : subsingleton (lie_subalgebra R ↥(⊥ : lie_subalgebra R L)) :=
begin
apply subsingleton_of_bot_eq_top,
ext ⟨x, hx⟩, change x ∈ ⊥ at hx, rw lie_subalgebra.mem_bot at hx, subst hx,
simp only [true_iff, eq_self_iff_true, submodule.mk_eq_zero, mem_bot],
end
lemma subsingleton_bot : subsingleton ↥(⊥ : lie_subalgebra R L) :=
show subsingleton ((⊥ : lie_subalgebra R L) : set L), by simp
variables (R L)
lemma well_founded_of_noetherian [is_noetherian R L] :
well_founded ((>) : lie_subalgebra R L → lie_subalgebra R L → Prop) :=
let f : ((>) : lie_subalgebra R L → lie_subalgebra R L → Prop) →r
((>) : submodule R L → submodule R L → Prop) :=
{ to_fun := coe,
map_rel' := λ N N' h, h, }
in rel_hom_class.well_founded f (is_noetherian_iff_well_founded.mp infer_instance)
variables {R L K K' f}
section nested_subalgebras
variables (h : K ≤ K')
/-- Given two nested Lie subalgebras `K ⊆ K'`, the inclusion `K ↪ K'` is a morphism of Lie
algebras. -/
def hom_of_le : K →ₗ⁅R⁆ K' :=
{ map_lie' := λ x y, rfl,
..submodule.of_le h }
@[simp] lemma coe_hom_of_le (x : K) : (hom_of_le h x : L) = x := rfl
lemma hom_of_le_apply (x : K) : hom_of_le h x = ⟨x.1, h x.2⟩ := rfl
lemma hom_of_le_injective : function.injective (hom_of_le h) :=
λ x y, by simp only [hom_of_le_apply, imp_self, subtype.mk_eq_mk, set_like.coe_eq_coe,
subtype.val_eq_coe]
/-- Given two nested Lie subalgebras `K ⊆ K'`, we can view `K` as a Lie subalgebra of `K'`,
regarded as Lie algebra in its own right. -/
def of_le : lie_subalgebra R K' := (hom_of_le h).range
@[simp] lemma mem_of_le (x : K') : x ∈ of_le h ↔ (x : L) ∈ K :=
begin
simp only [of_le, hom_of_le_apply, lie_hom.mem_range],
split,
{ rintros ⟨y, rfl⟩, exact y.property, },
{ intros h, use ⟨(x : L), h⟩, simp, },
end
lemma of_le_eq_comap_incl : of_le h = K.comap K'.incl :=
by { ext, rw mem_of_le, refl, }
@[simp] lemma coe_of_le : (of_le h : submodule R K') = (submodule.of_le h).range := rfl
/-- Given nested Lie subalgebras `K ⊆ K'`, there is a natural equivalence from `K` to its image in
`K'`. -/
noncomputable def equiv_of_le : K ≃ₗ⁅R⁆ of_le h :=
(hom_of_le h).equiv_range_of_injective (hom_of_le_injective h)
@[simp] lemma equiv_of_le_apply (x : K) :
equiv_of_le h x = ⟨hom_of_le h x, (hom_of_le h).mem_range_self x⟩ :=
rfl
end nested_subalgebras
lemma map_le_iff_le_comap {K : lie_subalgebra R L} {K' : lie_subalgebra R L₂} :
map f K ≤ K' ↔ K ≤ comap f K' := set.image_subset_iff
lemma gc_map_comap : galois_connection (map f) (comap f) := λ K K', map_le_iff_le_comap
end lattice_structure
section lie_span
variables (R L) (s : set L)
/-- The Lie subalgebra of a Lie algebra `L` generated by a subset `s ⊆ L`. -/
def lie_span : lie_subalgebra R L := Inf {N | s ⊆ N}
variables {R L s}
lemma mem_lie_span {x : L} : x ∈ lie_span R L s ↔ ∀ K : lie_subalgebra R L, s ⊆ K → x ∈ K :=
by { change x ∈ (lie_span R L s : set L) ↔ _, erw Inf_coe, exact set.mem_Inter₂, }
lemma subset_lie_span : s ⊆ lie_span R L s :=
by { intros m hm, erw mem_lie_span, intros K hK, exact hK hm, }
lemma submodule_span_le_lie_span : submodule.span R s ≤ lie_span R L s :=
by { rw submodule.span_le, apply subset_lie_span, }
lemma lie_span_le {K} : lie_span R L s ≤ K ↔ s ⊆ K :=
begin
split,
{ exact set.subset.trans subset_lie_span, },
{ intros hs m hm, rw mem_lie_span at hm, exact hm _ hs, },
end
lemma lie_span_mono {t : set L} (h : s ⊆ t) : lie_span R L s ≤ lie_span R L t :=
by { rw lie_span_le, exact set.subset.trans h subset_lie_span, }
lemma lie_span_eq : lie_span R L (K : set L) = K :=
le_antisymm (lie_span_le.mpr rfl.subset) subset_lie_span
lemma coe_lie_span_submodule_eq_iff {p : submodule R L} :
(lie_span R L (p : set L) : submodule R L) = p ↔ ∃ (K : lie_subalgebra R L), ↑K = p :=
begin
rw p.exists_lie_subalgebra_coe_eq_iff, split; intros h,
{ intros x m hm, rw [← h, mem_coe_submodule], exact lie_mem _ (subset_lie_span hm), },
{ rw [← coe_to_submodule_mk p h, coe_to_submodule, coe_to_submodule_eq_iff, lie_span_eq], },
end
variables (R L)
/-- `lie_span` forms a Galois insertion with the coercion from `lie_subalgebra` to `set`. -/
protected def gi : galois_insertion (lie_span R L : set L → lie_subalgebra R L) coe :=
{ choice := λ s _, lie_span R L s,
gc := λ s t, lie_span_le,
le_l_u := λ s, subset_lie_span,
choice_eq := λ s h, rfl }
@[simp] lemma span_empty : lie_span R L (∅ : set L) = ⊥ :=
(lie_subalgebra.gi R L).gc.l_bot
@[simp] lemma span_univ : lie_span R L (set.univ : set L) = ⊤ :=
eq_top_iff.2 $ set_like.le_def.2 $ subset_lie_span
variables {L}
lemma span_union (s t : set L) : lie_span R L (s ∪ t) = lie_span R L s ⊔ lie_span R L t :=
(lie_subalgebra.gi R L).gc.l_sup
lemma span_Union {ι} (s : ι → set L) : lie_span R L (⋃ i, s i) = ⨆ i, lie_span R L (s i) :=
(lie_subalgebra.gi R L).gc.l_supr
end lie_span
end lie_subalgebra
end lie_subalgebra
namespace lie_equiv
variables {R : Type u} {L₁ : Type v} {L₂ : Type w}
variables [comm_ring R] [lie_ring L₁] [lie_ring L₂] [lie_algebra R L₁] [lie_algebra R L₂]
/-- An injective Lie algebra morphism is an equivalence onto its range. -/
noncomputable def of_injective (f : L₁ →ₗ⁅R⁆ L₂) (h : function.injective f) :
L₁ ≃ₗ⁅R⁆ f.range :=
{ map_lie' := λ x y, by { apply set_coe.ext, simpa },
.. linear_equiv.of_injective (f : L₁ →ₗ[R] L₂) $ by rwa [lie_hom.coe_to_linear_map] }
@[simp] lemma of_injective_apply (f : L₁ →ₗ⁅R⁆ L₂) (h : function.injective f) (x : L₁) :
↑(of_injective f h x) = f x := rfl
variables (L₁' L₁'' : lie_subalgebra R L₁) (L₂' : lie_subalgebra R L₂)
/-- Lie subalgebras that are equal as sets are equivalent as Lie algebras. -/
def of_eq (h : (L₁' : set L₁) = L₁'') : L₁' ≃ₗ⁅R⁆ L₁'' :=
{ map_lie' := λ x y, by { apply set_coe.ext, simp, },
..(linear_equiv.of_eq ↑L₁' ↑L₁''
(by {ext x, change x ∈ (L₁' : set L₁) ↔ x ∈ (L₁'' : set L₁), rw h, } )) }
@[simp] lemma of_eq_apply (L L' : lie_subalgebra R L₁) (h : (L : set L₁) = L') (x : L) :
(↑(of_eq L L' h x) : L₁) = x := rfl
variables (e : L₁ ≃ₗ⁅R⁆ L₂)
/-- An equivalence of Lie algebras restricts to an equivalence from any Lie subalgebra onto its
image. -/
def lie_subalgebra_map : L₁'' ≃ₗ⁅R⁆ (L₁''.map e : lie_subalgebra R L₂) :=
{ map_lie' := λ x y, by { apply set_coe.ext, exact lie_hom.map_lie (↑e : L₁ →ₗ⁅R⁆ L₂) ↑x ↑y, }
..(linear_equiv.submodule_map (e : L₁ ≃ₗ[R] L₂) ↑L₁'') }
@[simp] lemma lie_subalgebra_map_apply (x : L₁'') : ↑(e.lie_subalgebra_map _ x) = e x := rfl
/-- An equivalence of Lie algebras restricts to an equivalence from any Lie subalgebra onto its
image. -/
def of_subalgebras (h : L₁'.map ↑e = L₂') : L₁' ≃ₗ⁅R⁆ L₂' :=
{ map_lie' := λ x y, by { apply set_coe.ext, exact lie_hom.map_lie (↑e : L₁ →ₗ⁅R⁆ L₂) ↑x ↑y, },
..(linear_equiv.of_submodules (e : L₁ ≃ₗ[R] L₂) ↑L₁' ↑L₂' (by { rw ←h, refl, })) }
@[simp] lemma of_subalgebras_apply (h : L₁'.map ↑e = L₂') (x : L₁') :
↑(e.of_subalgebras _ _ h x) = e x := rfl
@[simp] lemma of_subalgebras_symm_apply (h : L₁'.map ↑e = L₂') (x : L₂') :
↑((e.of_subalgebras _ _ h).symm x) = e.symm x := rfl
end lie_equiv
|
3303db4335e7a602177cb23ebc2c8b1b06a7532b | 4727251e0cd73359b15b664c3170e5d754078599 | /src/group_theory/perm/cycle_type.lean | cfbe9e16a14bc6fd1389d1b937b97d0dc5f58aca | [
"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 | 27,247 | lean | /-
Copyright (c) 2020 Thomas Browning. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Thomas Browning
-/
import algebra.gcd_monoid.multiset
import combinatorics.partition
import group_theory.perm.cycles
import ring_theory.int.basic
import tactic.linarith
/-!
# Cycle Types
In this file we define the cycle type of a permutation.
## Main definitions
- `σ.cycle_type` where `σ` is a permutation of a `fintype`
- `σ.partition` where `σ` is a permutation of a `fintype`
## Main results
- `sum_cycle_type` : The sum of `σ.cycle_type` equals `σ.support.card`
- `lcm_cycle_type` : The lcm of `σ.cycle_type` equals `order_of σ`
- `is_conj_iff_cycle_type_eq` : Two permutations are conjugate if and only if they have the same
cycle type.
* `exists_prime_order_of_dvd_card`: For every prime `p` dividing the order of a finite group `G`
there exists an element of order `p` in `G`. This is known as Cauchy`s theorem.
-/
namespace equiv.perm
open equiv list multiset
variables {α : Type*} [fintype α]
section cycle_type
variables [decidable_eq α]
/-- The cycle type of a permutation -/
def cycle_type (σ : perm α) : multiset ℕ :=
σ.cycle_factors_finset.1.map (finset.card ∘ support)
lemma cycle_type_def (σ : perm α) :
σ.cycle_type = σ.cycle_factors_finset.1.map (finset.card ∘ support) := rfl
lemma cycle_type_eq' {σ : perm α} (s : finset (perm α))
(h1 : ∀ f : perm α, f ∈ s → f.is_cycle) (h2 : ∀ (a ∈ s) (b ∈ s), a ≠ b → disjoint a b)
(h0 : s.noncomm_prod id
(λ a ha b hb, (em (a = b)).by_cases (λ h, h ▸ commute.refl a)
(set.pairwise.mono' (λ _ _, disjoint.commute) h2 ha hb)) = σ) :
σ.cycle_type = s.1.map (finset.card ∘ support) :=
begin
rw cycle_type_def,
congr,
rw cycle_factors_finset_eq_finset,
exact ⟨h1, h2, h0⟩
end
lemma cycle_type_eq {σ : perm α} (l : list (perm α)) (h0 : l.prod = σ)
(h1 : ∀ σ : perm α, σ ∈ l → σ.is_cycle) (h2 : l.pairwise disjoint) :
σ.cycle_type = l.map (finset.card ∘ support) :=
begin
have hl : l.nodup := nodup_of_pairwise_disjoint_cycles h1 h2,
rw cycle_type_eq' l.to_finset,
{ simp [list.dedup_eq_self.mpr hl] },
{ simpa using h1 },
{ simpa [hl] using h0 },
{ simpa [list.dedup_eq_self.mpr hl] using h2.forall disjoint.symmetric }
end
lemma cycle_type_one : (1 : perm α).cycle_type = 0 :=
cycle_type_eq [] rfl (λ _, false.elim) pairwise.nil
lemma cycle_type_eq_zero {σ : perm α} : σ.cycle_type = 0 ↔ σ = 1 :=
by simp [cycle_type_def, cycle_factors_finset_eq_empty_iff]
lemma card_cycle_type_eq_zero {σ : perm α} : σ.cycle_type.card = 0 ↔ σ = 1 :=
by rw [card_eq_zero, cycle_type_eq_zero]
lemma two_le_of_mem_cycle_type {σ : perm α} {n : ℕ} (h : n ∈ σ.cycle_type) : 2 ≤ n :=
begin
simp only [cycle_type_def, ←finset.mem_def, function.comp_app, multiset.mem_map,
mem_cycle_factors_finset_iff] at h,
obtain ⟨_, ⟨hc, -⟩, rfl⟩ := h,
exact hc.two_le_card_support
end
lemma one_lt_of_mem_cycle_type {σ : perm α} {n : ℕ} (h : n ∈ σ.cycle_type) : 1 < n :=
two_le_of_mem_cycle_type h
lemma is_cycle.cycle_type {σ : perm α} (hσ : is_cycle σ) : σ.cycle_type = [σ.support.card] :=
cycle_type_eq [σ] (mul_one σ) (λ τ hτ, (congr_arg is_cycle (list.mem_singleton.mp hτ)).mpr hσ)
(pairwise_singleton disjoint σ)
lemma card_cycle_type_eq_one {σ : perm α} : σ.cycle_type.card = 1 ↔ σ.is_cycle :=
begin
rw card_eq_one,
simp_rw [cycle_type_def, multiset.map_eq_singleton, ←finset.singleton_val,
finset.val_inj, cycle_factors_finset_eq_singleton_iff],
split,
{ rintro ⟨_, _, ⟨h, -⟩, -⟩,
exact h },
{ intro h,
use [σ.support.card, σ],
simp [h] }
end
lemma disjoint.cycle_type {σ τ : perm α} (h : disjoint σ τ) :
(σ * τ).cycle_type = σ.cycle_type + τ.cycle_type :=
begin
rw [cycle_type_def, cycle_type_def, cycle_type_def, h.cycle_factors_finset_mul_eq_union,
←multiset.map_add, finset.union_val, multiset.add_eq_union_iff_disjoint.mpr _],
rw [←finset.disjoint_val],
exact h.disjoint_cycle_factors_finset
end
lemma cycle_type_inv (σ : perm α) : σ⁻¹.cycle_type = σ.cycle_type :=
cycle_induction_on (λ τ : perm α, τ⁻¹.cycle_type = τ.cycle_type) σ rfl
(λ σ hσ, by rw [hσ.cycle_type, hσ.inv.cycle_type, support_inv])
(λ σ τ hστ hc hσ hτ, by rw [mul_inv_rev, hστ.cycle_type, ←hσ, ←hτ, add_comm,
disjoint.cycle_type (λ x, or.imp (λ h : τ x = x, inv_eq_iff_eq.mpr h.symm)
(λ h : σ x = x, inv_eq_iff_eq.mpr h.symm) (hστ x).symm)])
lemma cycle_type_conj {σ τ : perm α} : (τ * σ * τ⁻¹).cycle_type = σ.cycle_type :=
begin
revert τ,
apply cycle_induction_on _ σ,
{ intro,
simp },
{ intros σ hσ τ,
rw [hσ.cycle_type, hσ.is_cycle_conj.cycle_type, card_support_conj] },
{ intros σ τ hd hc hσ hτ π,
rw [← conj_mul, hd.cycle_type, disjoint.cycle_type, hσ, hτ],
intro a,
apply (hd (π⁻¹ a)).imp _ _;
{ intro h, rw [perm.mul_apply, perm.mul_apply, h, apply_inv_self] } }
end
lemma sum_cycle_type (σ : perm α) : σ.cycle_type.sum = σ.support.card :=
cycle_induction_on (λ τ : perm α, τ.cycle_type.sum = τ.support.card) σ
(by rw [cycle_type_one, sum_zero, support_one, finset.card_empty])
(λ σ hσ, by rw [hσ.cycle_type, coe_sum, list.sum_singleton])
(λ σ τ hστ hc hσ hτ, by rw [hστ.cycle_type, sum_add, hσ, hτ, hστ.card_support_mul])
lemma sign_of_cycle_type' (σ : perm α) :
sign σ = (σ.cycle_type.map (λ n, -(-1 : ℤˣ) ^ n)).prod :=
cycle_induction_on (λ τ : perm α, sign τ = (τ.cycle_type.map (λ n, -(-1 : ℤˣ) ^ n)).prod) σ
(by rw [sign_one, cycle_type_one, multiset.map_zero, prod_zero])
(λ σ hσ, by rw [hσ.sign, hσ.cycle_type, coe_map, coe_prod,
list.map_singleton, list.prod_singleton])
(λ σ τ hστ hc hσ hτ, by rw [sign_mul, hσ, hτ, hστ.cycle_type, multiset.map_add, prod_add])
lemma sign_of_cycle_type (f : perm α) :
sign f = (-1 : ℤˣ)^(f.cycle_type.sum + f.cycle_type.card) :=
cycle_induction_on
(λ f : perm α, sign f = (-1 : ℤˣ)^(f.cycle_type.sum + f.cycle_type.card))
f
( -- base_one
by rw [equiv.perm.cycle_type_one, sign_one, multiset.sum_zero, multiset.card_zero, pow_zero] )
( -- base_cycles
λ f hf,
by rw [equiv.perm.is_cycle.cycle_type hf, hf.sign,
coe_sum, list.sum_cons, sum_nil, add_zero, coe_card, length_singleton,
pow_add, pow_one, mul_comm, neg_mul, one_mul] )
( -- induction_disjoint
λ f g hfg hf Pf Pg,
by rw [equiv.perm.disjoint.cycle_type hfg,
multiset.sum_add, multiset.card_add,← add_assoc,
add_comm f.cycle_type.sum g.cycle_type.sum,
add_assoc g.cycle_type.sum _ _,
add_comm g.cycle_type.sum _,
add_assoc, pow_add,
← Pf, ← Pg,
equiv.perm.sign_mul])
lemma lcm_cycle_type (σ : perm α) : σ.cycle_type.lcm = order_of σ :=
cycle_induction_on (λ τ : perm α, τ.cycle_type.lcm = order_of τ) σ
(by rw [cycle_type_one, lcm_zero, order_of_one])
(λ σ hσ, by rw [hσ.cycle_type, ←singleton_coe, ←singleton_eq_cons, lcm_singleton,
order_of_is_cycle hσ, normalize_eq])
(λ σ τ hστ hc hσ hτ, by rw [hστ.cycle_type, lcm_add, lcm_eq_nat_lcm, hστ.order_of, hσ, hτ])
lemma dvd_of_mem_cycle_type {σ : perm α} {n : ℕ} (h : n ∈ σ.cycle_type) : n ∣ order_of σ :=
begin
rw ← lcm_cycle_type,
exact dvd_lcm h,
end
lemma order_of_cycle_of_dvd_order_of (f : perm α) (x : α) :
order_of (cycle_of f x) ∣ order_of f :=
begin
by_cases hx : f x = x,
{ rw ←cycle_of_eq_one_iff at hx,
simp [hx] },
{ refine dvd_of_mem_cycle_type _,
rw [cycle_type, multiset.mem_map],
refine ⟨f.cycle_of x, _, _⟩,
{ rwa [←finset.mem_def, cycle_of_mem_cycle_factors_finset_iff, mem_support] },
{ simp [order_of_is_cycle (is_cycle_cycle_of _ hx)] } }
end
lemma two_dvd_card_support {σ : perm α} (hσ : σ ^ 2 = 1) : 2 ∣ σ.support.card :=
(congr_arg (has_dvd.dvd 2) σ.sum_cycle_type).mp
(multiset.dvd_sum (λ n hn, by rw le_antisymm (nat.le_of_dvd zero_lt_two $
(dvd_of_mem_cycle_type hn).trans $ order_of_dvd_of_pow_eq_one hσ) (two_le_of_mem_cycle_type hn)))
lemma cycle_type_prime_order {σ : perm α} (hσ : (order_of σ).prime) :
∃ n : ℕ, σ.cycle_type = repeat (order_of σ) (n + 1) :=
begin
rw eq_repeat_of_mem (λ n hn, or_iff_not_imp_left.mp
(hσ.eq_one_or_self_of_dvd n (dvd_of_mem_cycle_type hn)) (one_lt_of_mem_cycle_type hn).ne'),
use σ.cycle_type.card - 1,
rw tsub_add_cancel_of_le,
rw [nat.succ_le_iff, pos_iff_ne_zero, ne, card_cycle_type_eq_zero],
intro H,
rw [H, order_of_one] at hσ,
exact hσ.ne_one rfl,
end
lemma is_cycle_of_prime_order {σ : perm α} (h1 : (order_of σ).prime)
(h2 : σ.support.card < 2 * (order_of σ)) : σ.is_cycle :=
begin
obtain ⟨n, hn⟩ := cycle_type_prime_order h1,
rw [←σ.sum_cycle_type, hn, multiset.sum_repeat, nsmul_eq_mul, nat.cast_id, mul_lt_mul_right
(order_of_pos σ), nat.succ_lt_succ_iff, nat.lt_succ_iff, nat.le_zero_iff] at h2,
rw [←card_cycle_type_eq_one, hn, card_repeat, h2],
end
lemma cycle_type_le_of_mem_cycle_factors_finset {f g : perm α}
(hf : f ∈ g.cycle_factors_finset) :
f.cycle_type ≤ g.cycle_type :=
begin
rw mem_cycle_factors_finset_iff at hf,
rw [cycle_type_def, cycle_type_def, hf.left.cycle_factors_finset_eq_singleton],
refine map_le_map _,
simpa [←finset.mem_def, mem_cycle_factors_finset_iff] using hf
end
lemma cycle_type_mul_mem_cycle_factors_finset_eq_sub {f g : perm α}
(hf : f ∈ g.cycle_factors_finset) :
(g * f⁻¹).cycle_type = g.cycle_type - f.cycle_type :=
begin
suffices : (g * f⁻¹).cycle_type + f.cycle_type = g.cycle_type - f.cycle_type + f.cycle_type,
{ rw tsub_add_cancel_of_le (cycle_type_le_of_mem_cycle_factors_finset hf) at this,
simp [←this] },
simp [←(disjoint_mul_inv_of_mem_cycle_factors_finset hf).cycle_type,
tsub_add_cancel_of_le (cycle_type_le_of_mem_cycle_factors_finset hf)]
end
theorem is_conj_of_cycle_type_eq {σ τ : perm α} (h : cycle_type σ = cycle_type τ) : is_conj σ τ :=
begin
revert τ,
apply cycle_induction_on _ σ,
{ intros τ h,
rw [cycle_type_one, eq_comm, cycle_type_eq_zero] at h,
rw h },
{ intros σ hσ τ hστ,
have hτ := card_cycle_type_eq_one.2 hσ,
rw [hστ, card_cycle_type_eq_one] at hτ,
apply hσ.is_conj hτ,
rw [hσ.cycle_type, hτ.cycle_type, coe_eq_coe, singleton_perm] at hστ,
simp only [and_true, eq_self_iff_true] at hστ,
exact hστ },
{ intros σ τ hστ hσ h1 h2 π hπ,
rw [hστ.cycle_type] at hπ,
{ have h : σ.support.card ∈ map (finset.card ∘ perm.support) π.cycle_factors_finset.val,
{ simp [←cycle_type_def, ←hπ, hσ.cycle_type] },
obtain ⟨σ', hσ'l, hσ'⟩ := multiset.mem_map.mp h,
have key : is_conj (σ' * (π * σ'⁻¹)) π,
{ rw is_conj_iff,
use σ'⁻¹,
simp [mul_assoc] },
refine is_conj.trans _ key,
have hs : σ.cycle_type = σ'.cycle_type,
{ rw [←finset.mem_def, mem_cycle_factors_finset_iff] at hσ'l,
rw [hσ.cycle_type, ←hσ', hσ'l.left.cycle_type] },
refine hστ.is_conj_mul (h1 hs) (h2 _) _,
{ rw [cycle_type_mul_mem_cycle_factors_finset_eq_sub, ←hπ, add_comm, hs,
add_tsub_cancel_right],
rwa finset.mem_def },
{ exact (disjoint_mul_inv_of_mem_cycle_factors_finset hσ'l).symm } } }
end
theorem is_conj_iff_cycle_type_eq {σ τ : perm α} :
is_conj σ τ ↔ σ.cycle_type = τ.cycle_type :=
⟨λ h, begin
obtain ⟨π, rfl⟩ := is_conj_iff.1 h,
rw cycle_type_conj,
end, is_conj_of_cycle_type_eq⟩
@[simp] lemma cycle_type_extend_domain {β : Type*} [fintype β] [decidable_eq β]
{p : β → Prop} [decidable_pred p] (f : α ≃ subtype p) {g : perm α} :
cycle_type (g.extend_domain f) = cycle_type g :=
begin
apply cycle_induction_on _ g,
{ rw [extend_domain_one, cycle_type_one, cycle_type_one] },
{ intros σ hσ,
rw [(hσ.extend_domain f).cycle_type, hσ.cycle_type, card_support_extend_domain] },
{ intros σ τ hd hc hσ hτ,
rw [hd.cycle_type, ← extend_domain_mul, (hd.extend_domain f).cycle_type, hσ, hτ] }
end
lemma mem_cycle_type_iff {n : ℕ} {σ : perm α} :
n ∈ cycle_type σ ↔ ∃ c τ : perm α, σ = c * τ ∧ disjoint c τ ∧ is_cycle c ∧ c.support.card = n :=
begin
split,
{ intro h,
obtain ⟨l, rfl, hlc, hld⟩ := trunc_cycle_factors σ,
rw cycle_type_eq _ rfl hlc hld at h,
obtain ⟨c, cl, rfl⟩ := list.exists_of_mem_map h,
rw (list.perm_cons_erase cl).pairwise_iff (λ _ _ hd, _) at hld,
swap, { exact hd.symm },
refine ⟨c, (l.erase c).prod, _, _, hlc _ cl, rfl⟩,
{ rw [← list.prod_cons,
(list.perm_cons_erase cl).symm.prod_eq' (hld.imp (λ _ _, disjoint.commute))] },
{ exact disjoint_prod_right _ (λ g, list.rel_of_pairwise_cons hld) } },
{ rintros ⟨c, t, rfl, hd, hc, rfl⟩,
simp [hd.cycle_type, hc.cycle_type] }
end
lemma le_card_support_of_mem_cycle_type {n : ℕ} {σ : perm α} (h : n ∈ cycle_type σ) :
n ≤ σ.support.card :=
(le_sum_of_mem h).trans (le_of_eq σ.sum_cycle_type)
lemma cycle_type_of_card_le_mem_cycle_type_add_two {n : ℕ} {g : perm α}
(hn2 : fintype.card α < n + 2) (hng : n ∈ g.cycle_type) :
g.cycle_type = {n} :=
begin
obtain ⟨c, g', rfl, hd, hc, rfl⟩ := mem_cycle_type_iff.1 hng,
by_cases g'1 : g' = 1,
{ rw [hd.cycle_type, hc.cycle_type, multiset.singleton_eq_cons, multiset.singleton_coe,
g'1, cycle_type_one, add_zero] },
contrapose! hn2,
apply le_trans _ (c * g').support.card_le_univ,
rw [hd.card_support_mul],
exact add_le_add_left (two_le_card_support_of_ne_one g'1) _,
end
end cycle_type
lemma card_compl_support_modeq [decidable_eq α] {p n : ℕ} [hp : fact p.prime] {σ : perm α}
(hσ : σ ^ p ^ n = 1) : σ.supportᶜ.card ≡ fintype.card α [MOD p] :=
begin
rw [nat.modeq_iff_dvd' σ.supportᶜ.card_le_univ, ←finset.card_compl, compl_compl],
refine (congr_arg _ σ.sum_cycle_type).mp (multiset.dvd_sum (λ k hk, _)),
obtain ⟨m, -, hm⟩ := (nat.dvd_prime_pow hp.out).mp (order_of_dvd_of_pow_eq_one hσ),
obtain ⟨l, -, rfl⟩ := (nat.dvd_prime_pow hp.out).mp
((congr_arg _ hm).mp (dvd_of_mem_cycle_type hk)),
exact dvd_pow_self _ (λ h, (one_lt_of_mem_cycle_type hk).ne $ by rw [h, pow_zero]),
end
lemma exists_fixed_point_of_prime {p n : ℕ} [hp : fact p.prime] (hα : ¬ p ∣ fintype.card α)
{σ : perm α} (hσ : σ ^ p ^ n = 1) : ∃ a : α, σ a = a :=
begin
classical,
contrapose! hα,
simp_rw ← mem_support at hα,
exact nat.modeq_zero_iff_dvd.mp ((congr_arg _ (finset.card_eq_zero.mpr (compl_eq_bot.mpr
(finset.eq_univ_iff_forall.mpr hα)))).mp (card_compl_support_modeq hσ).symm),
end
lemma exists_fixed_point_of_prime' {p n : ℕ} [hp : fact p.prime] (hα : p ∣ fintype.card α)
{σ : perm α} (hσ : σ ^ p ^ n = 1) {a : α} (ha : σ a = a) : ∃ b : α, σ b = b ∧ b ≠ a :=
begin
classical,
have h : ∀ b : α, b ∈ σ.supportᶜ ↔ σ b = b :=
λ b, by rw [finset.mem_compl, mem_support, not_not],
obtain ⟨b, hb1, hb2⟩ := finset.exists_ne_of_one_lt_card (lt_of_lt_of_le hp.out.one_lt
(nat.le_of_dvd (finset.card_pos.mpr ⟨a, (h a).mpr ha⟩) (nat.modeq_zero_iff_dvd.mp
((card_compl_support_modeq hσ).trans (nat.modeq_zero_iff_dvd.mpr hα))))) a,
exact ⟨b, (h b).mp hb1, hb2⟩,
end
lemma is_cycle_of_prime_order' {σ : perm α} (h1 : (order_of σ).prime)
(h2 : fintype.card α < 2 * (order_of σ)) : σ.is_cycle :=
begin
classical,
exact is_cycle_of_prime_order h1 (lt_of_le_of_lt σ.support.card_le_univ h2),
end
lemma is_cycle_of_prime_order'' {σ : perm α} (h1 : (fintype.card α).prime)
(h2 : order_of σ = fintype.card α) : σ.is_cycle :=
is_cycle_of_prime_order' ((congr_arg nat.prime h2).mpr h1)
begin
classical,
rw [←one_mul (fintype.card α), ←h2, mul_lt_mul_right (order_of_pos σ)],
exact one_lt_two,
end
section cauchy
variables (G : Type*) [group G] (n : ℕ)
/-- The type of vectors with terms from `G`, length `n`, and product equal to `1:G`. -/
def vectors_prod_eq_one : set (vector G n) :=
{v | v.to_list.prod = 1}
namespace vectors_prod_eq_one
lemma mem_iff {n : ℕ} (v : vector G n) :
v ∈ vectors_prod_eq_one G n ↔ v.to_list.prod = 1 := iff.rfl
lemma zero_eq : vectors_prod_eq_one G 0 = {vector.nil} :=
set.eq_singleton_iff_unique_mem.mpr ⟨eq.refl (1 : G), λ v hv, v.eq_nil⟩
lemma one_eq : vectors_prod_eq_one G 1 = {vector.nil.cons 1} :=
begin
simp_rw [set.eq_singleton_iff_unique_mem, mem_iff,
vector.to_list_singleton, list.prod_singleton, vector.head_cons],
exact ⟨rfl, λ v hv, v.cons_head_tail.symm.trans (congr_arg2 vector.cons hv v.tail.eq_nil)⟩,
end
instance zero_unique : unique (vectors_prod_eq_one G 0) :=
by { rw zero_eq, exact set.unique_singleton vector.nil }
instance one_unique : unique (vectors_prod_eq_one G 1) :=
by { rw one_eq, exact set.unique_singleton (vector.nil.cons 1) }
/-- Given a vector `v` of length `n`, make a vector of length `n + 1` whose product is `1`,
by appending the inverse of the product of `v`. -/
@[simps] def vector_equiv : vector G n ≃ vectors_prod_eq_one G (n + 1) :=
{ to_fun := λ v, ⟨v.to_list.prod⁻¹ ::ᵥ v,
by rw [mem_iff, vector.to_list_cons, list.prod_cons, inv_mul_self]⟩,
inv_fun := λ v, v.1.tail,
left_inv := λ v, v.tail_cons v.to_list.prod⁻¹,
right_inv := λ v, subtype.ext ((congr_arg2 vector.cons (eq_inv_of_mul_eq_one_left (by
{ rw [←list.prod_cons, ←vector.to_list_cons, v.1.cons_head_tail],
exact v.2 })).symm rfl).trans v.1.cons_head_tail) }
/-- Given a vector `v` of length `n` whose product is 1, make a vector of length `n - 1`,
by deleting the last entry of `v`. -/
def equiv_vector : vectors_prod_eq_one G n ≃ vector G (n - 1) :=
((vector_equiv G (n - 1)).trans (if hn : n = 0 then (show vectors_prod_eq_one G (n - 1 + 1) ≃
vectors_prod_eq_one G n, by { rw hn, exact equiv_of_unique_of_unique })
else by rw tsub_add_cancel_of_le (nat.pos_of_ne_zero hn).nat_succ_le)).symm
instance [fintype G] : fintype (vectors_prod_eq_one G n) :=
fintype.of_equiv (vector G (n - 1)) (equiv_vector G n).symm
lemma card [fintype G] :
fintype.card (vectors_prod_eq_one G n) = fintype.card G ^ (n - 1) :=
(fintype.card_congr (equiv_vector G n)).trans (card_vector (n - 1))
variables {G n} {g : G} (v : vectors_prod_eq_one G n) (j k : ℕ)
/-- Rotate a vector whose product is 1. -/
def rotate : vectors_prod_eq_one G n :=
⟨⟨_, (v.1.1.length_rotate k).trans v.1.2⟩, list.prod_rotate_eq_one_of_prod_eq_one v.2 k⟩
lemma rotate_zero : rotate v 0 = v :=
subtype.ext (subtype.ext v.1.1.rotate_zero)
lemma rotate_rotate : rotate (rotate v j) k = rotate v (j + k) :=
subtype.ext (subtype.ext (v.1.1.rotate_rotate j k))
lemma rotate_length : rotate v n = v :=
subtype.ext (subtype.ext ((congr_arg _ v.1.2.symm).trans v.1.1.rotate_length))
end vectors_prod_eq_one
lemma exists_prime_order_of_dvd_card {G : Type*} [group G] [fintype G] (p : ℕ) [hp : fact p.prime]
(hdvd : p ∣ fintype.card G) : ∃ x : G, order_of x = p :=
begin
have hp' : p - 1 ≠ 0 := mt tsub_eq_zero_iff_le.mp (not_le_of_lt hp.out.one_lt),
have Scard := calc p ∣ fintype.card G ^ (p - 1) : hdvd.trans (dvd_pow (dvd_refl _) hp')
... = fintype.card (vectors_prod_eq_one G p) : (vectors_prod_eq_one.card G p).symm,
let f : ℕ → vectors_prod_eq_one G p → vectors_prod_eq_one G p :=
λ k v, vectors_prod_eq_one.rotate v k,
have hf1 : ∀ v, f 0 v = v := vectors_prod_eq_one.rotate_zero,
have hf2 : ∀ j k v, f k (f j v) = f (j + k) v :=
λ j k v, vectors_prod_eq_one.rotate_rotate v j k,
have hf3 : ∀ v, f p v = v := vectors_prod_eq_one.rotate_length,
let σ := equiv.mk (f 1) (f (p - 1))
(λ s, by rw [hf2, add_tsub_cancel_of_le hp.out.one_lt.le, hf3])
(λ s, by rw [hf2, tsub_add_cancel_of_le hp.out.one_lt.le, hf3]),
have hσ : ∀ k v, (σ ^ k) v = f k v :=
λ k v, nat.rec (hf1 v).symm (λ k hk, eq.trans (by exact congr_arg σ hk) (hf2 k 1 v)) k,
replace hσ : σ ^ (p ^ 1) = 1 := perm.ext (λ v, by rw [pow_one, hσ, hf3, one_apply]),
let v₀ : vectors_prod_eq_one G p := ⟨vector.repeat 1 p, (list.prod_repeat 1 p).trans (one_pow p)⟩,
have hv₀ : σ v₀ = v₀ := subtype.ext (subtype.ext (list.rotate_repeat (1 : G) p 1)),
obtain ⟨v, hv1, hv2⟩ := exists_fixed_point_of_prime' Scard hσ hv₀,
refine exists_imp_exists (λ g hg, order_of_eq_prime _ (λ hg', hv2 _))
(list.rotate_one_eq_self_iff_eq_repeat.mp (subtype.ext_iff.mp (subtype.ext_iff.mp hv1))),
{ rw [←list.prod_repeat, ←v.1.2, ←hg, (show v.val.val.prod = 1, from v.2)] },
{ rw [subtype.ext_iff_val, subtype.ext_iff_val, hg, hg', v.1.2],
refl },
end
end cauchy
lemma subgroup_eq_top_of_swap_mem [decidable_eq α] {H : subgroup (perm α)}
[d : decidable_pred (∈ H)] {τ : perm α} (h0 : (fintype.card α).prime)
(h1 : fintype.card α ∣ fintype.card H) (h2 : τ ∈ H) (h3 : is_swap τ) :
H = ⊤ :=
begin
haveI : fact (fintype.card α).prime := ⟨h0⟩,
obtain ⟨σ, hσ⟩ := exists_prime_order_of_dvd_card (fintype.card α) h1,
have hσ1 : order_of (σ : perm α) = fintype.card α := (order_of_subgroup σ).trans hσ,
have hσ2 : is_cycle ↑σ := is_cycle_of_prime_order'' h0 hσ1,
have hσ3 : (σ : perm α).support = ⊤ :=
finset.eq_univ_of_card (σ : perm α).support ((order_of_is_cycle hσ2).symm.trans hσ1),
have hσ4 : subgroup.closure {↑σ, τ} = ⊤ := closure_prime_cycle_swap h0 hσ2 hσ3 h3,
rw [eq_top_iff, ←hσ4, subgroup.closure_le, set.insert_subset, set.singleton_subset_iff],
exact ⟨subtype.mem σ, h2⟩,
end
section partition
variables [decidable_eq α]
/-- The partition corresponding to a permutation -/
def partition (σ : perm α) : (fintype.card α).partition :=
{ parts := σ.cycle_type + repeat 1 (fintype.card α - σ.support.card),
parts_pos := λ n hn,
begin
cases mem_add.mp hn with hn hn,
{ exact zero_lt_one.trans (one_lt_of_mem_cycle_type hn) },
{ exact lt_of_lt_of_le zero_lt_one (ge_of_eq (multiset.eq_of_mem_repeat hn)) },
end,
parts_sum := by rw [sum_add, sum_cycle_type, multiset.sum_repeat, nsmul_eq_mul,
nat.cast_id, mul_one, add_tsub_cancel_of_le σ.support.card_le_univ] }
lemma parts_partition {σ : perm α} :
σ.partition.parts = σ.cycle_type + repeat 1 (fintype.card α - σ.support.card) := rfl
lemma filter_parts_partition_eq_cycle_type {σ : perm α} :
(partition σ).parts.filter (λ n, 2 ≤ n) = σ.cycle_type :=
begin
rw [parts_partition, filter_add, multiset.filter_eq_self.2 (λ _, two_le_of_mem_cycle_type),
multiset.filter_eq_nil.2 (λ a h, _), add_zero],
rw multiset.eq_of_mem_repeat h,
dec_trivial
end
lemma partition_eq_of_is_conj {σ τ : perm α} :
is_conj σ τ ↔ σ.partition = τ.partition :=
begin
rw [is_conj_iff_cycle_type_eq],
refine ⟨λ h, _, λ h, _⟩,
{ rw [nat.partition.ext_iff, parts_partition, parts_partition,
← sum_cycle_type, ← sum_cycle_type, h] },
{ rw [← filter_parts_partition_eq_cycle_type, ← filter_parts_partition_eq_cycle_type, h] }
end
end partition
/-!
### 3-cycles
-/
/-- A three-cycle is a cycle of length 3. -/
def is_three_cycle [decidable_eq α] (σ : perm α) : Prop := σ.cycle_type = {3}
namespace is_three_cycle
variables [decidable_eq α] {σ : perm α}
lemma cycle_type (h : is_three_cycle σ) : σ.cycle_type = {3} := h
lemma card_support (h : is_three_cycle σ) : σ.support.card = 3 :=
by rw [←sum_cycle_type, h.cycle_type, multiset.sum_singleton]
lemma _root_.card_support_eq_three_iff : σ.support.card = 3 ↔ σ.is_three_cycle :=
begin
refine ⟨λ h, _, is_three_cycle.card_support⟩,
by_cases h0 : σ.cycle_type = 0,
{ rw [←sum_cycle_type, h0, sum_zero] at h,
exact (ne_of_lt zero_lt_three h).elim },
obtain ⟨n, hn⟩ := exists_mem_of_ne_zero h0,
by_cases h1 : σ.cycle_type.erase n = 0,
{ rw [←sum_cycle_type, ←cons_erase hn, h1, ←singleton_eq_cons, multiset.sum_singleton] at h,
rw [is_three_cycle, ←cons_erase hn, h1, h, singleton_eq_cons] },
obtain ⟨m, hm⟩ := exists_mem_of_ne_zero h1,
rw [←sum_cycle_type, ←cons_erase hn, ←cons_erase hm, multiset.sum_cons, multiset.sum_cons] at h,
linarith [two_le_of_mem_cycle_type hn, two_le_of_mem_cycle_type (mem_of_mem_erase hm)],
end
lemma is_cycle (h : is_three_cycle σ) : is_cycle σ :=
by rw [←card_cycle_type_eq_one, h.cycle_type, card_singleton]
lemma sign (h : is_three_cycle σ) : sign σ = 1 :=
begin
rw [equiv.perm.sign_of_cycle_type, h.cycle_type],
refl,
end
lemma inv {f : perm α} (h : is_three_cycle f) : is_three_cycle (f⁻¹) :=
by rwa [is_three_cycle, cycle_type_inv]
@[simp] lemma inv_iff {f : perm α} : is_three_cycle (f⁻¹) ↔ is_three_cycle f :=
⟨by { rw ← inv_inv f, apply inv }, inv⟩
lemma order_of {g : perm α} (ht : is_three_cycle g) :
order_of g = 3 :=
by rw [←lcm_cycle_type, ht.cycle_type, multiset.lcm_singleton, normalize_eq]
lemma is_three_cycle_sq {g : perm α} (ht : is_three_cycle g) :
is_three_cycle (g * g) :=
begin
rw [←pow_two, ←card_support_eq_three_iff, support_pow_coprime, ht.card_support],
rw [ht.order_of, nat.coprime_iff_gcd_eq_one],
norm_num,
end
end is_three_cycle
section
variable [decidable_eq α]
lemma is_three_cycle_swap_mul_swap_same
{a b c : α} (ab : a ≠ b) (ac : a ≠ c) (bc : b ≠ c) :
is_three_cycle (swap a b * swap a c) :=
begin
suffices h : support (swap a b * swap a c) = {a, b, c},
{ rw [←card_support_eq_three_iff, h],
simp [ab, ac, bc] },
apply le_antisymm ((support_mul_le _ _).trans (λ x, _)) (λ x hx, _),
{ simp [ab, ac, bc] },
{ simp only [finset.mem_insert, finset.mem_singleton] at hx,
rw mem_support,
simp only [perm.coe_mul, function.comp_app, ne.def],
obtain rfl | rfl | rfl := hx,
{ rw [swap_apply_left, swap_apply_of_ne_of_ne ac.symm bc.symm],
exact ac.symm },
{ rw [swap_apply_of_ne_of_ne ab.symm bc, swap_apply_right],
exact ab },
{ rw [swap_apply_right, swap_apply_left],
exact bc } }
end
open subgroup
lemma swap_mul_swap_same_mem_closure_three_cycles
{a b c : α} (ab : a ≠ b) (ac : a ≠ c) :
(swap a b * swap a c) ∈ closure {σ : perm α | is_three_cycle σ } :=
begin
by_cases bc : b = c,
{ subst bc,
simp [one_mem] },
exact subset_closure (is_three_cycle_swap_mul_swap_same ab ac bc)
end
lemma is_swap.mul_mem_closure_three_cycles {σ τ : perm α}
(hσ : is_swap σ) (hτ : is_swap τ) :
σ * τ ∈ closure {σ : perm α | is_three_cycle σ } :=
begin
obtain ⟨a, b, ab, rfl⟩ := hσ,
obtain ⟨c, d, cd, rfl⟩ := hτ,
by_cases ac : a = c,
{ subst ac,
exact swap_mul_swap_same_mem_closure_three_cycles ab cd },
have h' : swap a b * swap c d = swap a b * swap a c * (swap c a * swap c d),
{ simp [swap_comm c a, mul_assoc] },
rw h',
exact mul_mem (swap_mul_swap_same_mem_closure_three_cycles ab ac)
(swap_mul_swap_same_mem_closure_three_cycles (ne.symm ac) cd),
end
end
end equiv.perm
|
0fa7f0d2bcfd45590db34e60d1c84b542a5bb01b | 947b78d97130d56365ae2ec264df196ce769371a | /tests/lean/ctor_layout.lean | c7932bf41950112389dbdb07bfa95856e9d45d5d | [
"Apache-2.0"
] | permissive | shyamalschandra/lean4 | 27044812be8698f0c79147615b1d5090b9f4b037 | 6e7a883b21eaf62831e8111b251dc9b18f40e604 | refs/heads/master | 1,671,417,126,371 | 1,601,859,995,000 | 1,601,860,020,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 664 | lean | import Lean.Compiler.IR
new_frontend
open Lean
open Lean.IR
unsafe def main : IO Unit :=
withImportModules [{module := `Lean.Compiler.IR.Basic}] 0 fun env => do
let ctorLayout ← IO.ofExcept $ getCtorLayout env `Lean.IR.Expr.reuse;
ctorLayout.fieldInfo.forM $ fun finfo => IO.println (format finfo);
IO.println "---";
let ctorLayout ← IO.ofExcept $ getCtorLayout env `Lean.EnvironmentHeader.mk;
ctorLayout.fieldInfo.forM $ fun finfo => IO.println (format finfo);
IO.println "---";
let ctorLayout ← IO.ofExcept $ getCtorLayout env `Subtype.mk;
ctorLayout.fieldInfo.forM $ fun finfo => IO.println (format finfo);
pure ()
#eval main
|
cbfa1cc1b90d0020d13bf7e51bb9bcf0a925200d | c777c32c8e484e195053731103c5e52af26a25d1 | /src/data/mv_polynomial/supported.lean | 41ce4104cbf5cbb8653c8bc3fe1a5f9573ad771a | [
"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 | 4,241 | lean | /-
Copyright (c) 2021 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import data.mv_polynomial.variables
/-!
# Polynomials supported by a set of variables
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
This file contains the definition and lemmas about `mv_polynomial.supported`.
## Main definitions
* `mv_polynomial.supported` : Given a set `s : set σ`, `supported R s` is the subalgebra of
`mv_polynomial σ R` consisting of polynomials whose set of variables is contained in `s`.
This subalgebra is isomorphic to `mv_polynomial s R`
## Tags
variables, polynomial, vars
-/
universes u v w
namespace mv_polynomial
variables {σ τ : Type*} {R : Type u} {S : Type v} {r : R} {e : ℕ} {n m : σ}
section comm_semiring
variables [comm_semiring R] {p q : mv_polynomial σ R}
variables (R)
/-- The set of polynomials whose variables are contained in `s` as a `subalgebra` over `R`. -/
noncomputable def supported (s : set σ) : subalgebra R (mv_polynomial σ R) :=
algebra.adjoin R (X '' s)
variables {σ R}
open_locale classical
open algebra
lemma supported_eq_range_rename (s : set σ) :
supported R s = (rename (coe : s → σ)).range :=
by rw [supported, set.image_eq_range, adjoin_range_eq_range_aeval, rename]
/--The isomorphism between the subalgebra of polynomials supported by `s` and `mv_polynomial s R`-/
noncomputable def supported_equiv_mv_polynomial (s : set σ) :
supported R s ≃ₐ[R] mv_polynomial s R :=
(subalgebra.equiv_of_eq _ _ (supported_eq_range_rename s)).trans
(alg_equiv.of_injective (rename (coe : s → σ))
(rename_injective _ subtype.val_injective)).symm
@[simp] lemma supported_equiv_mv_polynomial_symm_C (s : set σ) (x : R) :
(supported_equiv_mv_polynomial s).symm (C x) = algebra_map R (supported R s) x :=
begin
ext1,
simp [supported_equiv_mv_polynomial, mv_polynomial.algebra_map_eq],
end
@[simp] lemma supported_equiv_mv_polynomial_symm_X (s : set σ) (i : s) :
(↑((supported_equiv_mv_polynomial s).symm (X i : mv_polynomial s R)) : mv_polynomial σ R) = X i :=
by simp [supported_equiv_mv_polynomial]
variables {s t : set σ}
lemma mem_supported : p ∈ (supported R s) ↔ ↑p.vars ⊆ s :=
begin
rw [supported_eq_range_rename, alg_hom.mem_range],
split,
{ rintros ⟨p, rfl⟩,
refine trans (finset.coe_subset.2 (vars_rename _ _)) _,
simp },
{ intros hs,
exact exists_rename_eq_of_vars_subset_range p (coe : s → σ) subtype.val_injective (by simpa) }
end
lemma supported_eq_vars_subset : (supported R s : set (mv_polynomial σ R)) = {p | ↑p.vars ⊆ s} :=
set.ext $ λ _, mem_supported
@[simp] lemma mem_supported_vars (p : mv_polynomial σ R) : p ∈ supported R (↑p.vars : set σ) :=
by rw [mem_supported]
variable (s)
lemma supported_eq_adjoin_X : supported R s = algebra.adjoin R (X '' s) := rfl
@[simp] lemma supported_univ : supported R (set.univ : set σ) = ⊤ :=
by simp [algebra.eq_top_iff, mem_supported]
@[simp] lemma supported_empty : supported R (∅ : set σ) = ⊥ :=
by simp [supported_eq_adjoin_X]
variables {s}
lemma supported_mono (st : s ⊆ t) : supported R s ≤ supported R t :=
algebra.adjoin_mono (set.image_subset _ st)
@[simp] lemma X_mem_supported [nontrivial R] {i : σ} : (X i) ∈ supported R s ↔ i ∈ s :=
by simp [mem_supported]
@[simp] lemma supported_le_supported_iff [nontrivial R] :
supported R s ≤ supported R t ↔ s ⊆ t :=
begin
split,
{ intros h i,
simpa using @h (X i) },
{ exact supported_mono }
end
lemma supported_strict_mono [nontrivial R] :
strict_mono (supported R : set σ → subalgebra R (mv_polynomial σ R)) :=
strict_mono_of_le_iff_le (λ _ _, supported_le_supported_iff.symm)
lemma exists_restrict_to_vars (R : Type*) [comm_ring R] {F : mv_polynomial σ ℤ} (hF : ↑F.vars ⊆ s) :
∃ f : (s → R) → R, ∀ x : σ → R, f (x ∘ coe : s → R) = aeval x F :=
begin
classical,
rw [← mem_supported, supported_eq_range_rename, alg_hom.mem_range] at hF,
cases hF with F' hF',
use λ z, aeval z F',
intro x,
simp only [←hF', aeval_rename],
end
end comm_semiring
end mv_polynomial
|
2d30ab8a532e4d0c2b36e319ee9440b7a1a6d7a6 | efce24474b28579aba3272fdb77177dc2b11d7aa | /src/homotopy_theory/topological_spaces/exponentiable.lean | 891fdfa79ff50d4cb661b1768debf475754dd897 | [
"Apache-2.0"
] | permissive | rwbarton/lean-homotopy-theory | cff499f24268d60e1c546e7c86c33f58c62888ed | 39e1b4ea1ed1b0eca2f68bc64162dde6a6396dee | refs/heads/lean-3.4.2 | 1,622,711,883,224 | 1,598,550,958,000 | 1,598,550,958,000 | 136,023,667 | 12 | 6 | Apache-2.0 | 1,573,187,573,000 | 1,528,116,262,000 | Lean | UTF-8 | Lean | false | false | 3,277 | lean | import topology.compact_open
import category_theory.adjunction
import for_mathlib
import .category
universe u
open continuous_map
open category_theory category_theory.adjunction
local notation f ` ∘ `:80 g:80 := g ≫ f
namespace homotopy_theory.topological_spaces
open Top
local notation `Top` := Top.{u}
/-
A space A is exponentiable if the functor - × A admits a right adjoint
functor [A, -]. This means that for all spaces X and Y, there is a
natural isomorphism of sets
C(Y × A, X) ≃ C(Y, [A, X]),
where C denotes the set of continuous maps. By taking Y = * so that
C(Y, -) is the underlying set functor, one sees that the only possible
choice for the underlying set of [A, X] is the set C(A, X). We
therefore define a space A to be exponentiable if C(A, X) can be
equipped with a topology for each X which is (1) functorial with
respect to continuous maps X → X' and (2) such that the evaluation and
coevaluation maps (which form the counit and unit of the
product-exponential adjunction on Set) are continuous.
-/
variables (A X : Top)
def ev : (A ⟶ X) × A → X := λ p, p.1 p.2
def coev : X → (A ⟶ Top.prod X A) :=
λ b, Top.mk_hom (λ a, (b, a)) (by continuity)
variables {X} {X' : Top}
def induced : (X ⟶ X') → (A ⟶ X) → (A ⟶ X') :=
λ f g, f ∘ g
class exponentiable (A : Top) :=
(exponential : Π (X : Top), topological_space (A ⟶ X))
(functorial : ∀ (X X' : Top) (g : X ⟶ X'), continuous (induced A g))
(continuous_ev : ∀ (X : Top), continuous (ev A X))
(continuous_coev : ∀ (X : Top), continuous (coev A X))
instance exponentiable.topological_space (A X : Top) [exponentiable A] :
topological_space (A ⟶ X) :=
exponentiable.exponential X
-- Now we can define the exponential functor [A, -] and show that it
-- is right adjoint to - × A.
def exponential (A : Top) [exponentiable A] (X : Top) : Top :=
Top.mk_ob (A ⟶ X)
def exponential_induced (A : Top) [exponentiable A] (X X' : Top) (g : X ⟶ X')
: exponential A X ⟶ exponential A X' :=
Top.mk_hom (induced A g) (exponentiable.functorial X X' g)
def exponential_functor (A : Top) [exponentiable A] : Top ↝ Top :=
{ obj := exponential A,
map := exponential_induced A,
map_id' := by intro X; ext g x; refl,
map_comp' := by intros X X' X'' f g; refl }
def exponential_adjunction (A : Top) [exponentiable A] : (-× A) ⊣ exponential_functor A :=
adjunction.mk_of_unit_counit $
{ unit :=
{ app := λ X, Top.mk_hom (coev A X) (exponentiable.continuous_coev X) },
counit :=
{ app := λ X, Top.mk_hom (ev A X) (exponentiable.continuous_ev X) },
left_triangle' := by ext X xa; cases xa; refl,
right_triangle' := by ext X f a; refl }
local attribute [class] is_left_adjoint
instance (A : Top) [exponentiable A] : is_left_adjoint (-× A) :=
{ right := exponential_functor A,
adj := exponential_adjunction A }
-- Locally compact spaces are exponentiable by equipping A ⟶ X with
-- the compact-open topology.
instance (A : Top) [locally_compact_space A] : exponentiable A :=
{ exponential := λ _, continuous_map.compact_open,
functorial := assume X X' g, continuous_induced g.2,
continuous_ev := assume X, continuous_ev,
continuous_coev := assume X, continuous_coev }
end homotopy_theory.topological_spaces
|
7adece88ebbae9194c0711ed1c0174494aa2eb90 | 6772a11d96d69b3f90d6eeaf7f9accddf2a7691d | /products.lean | c48563cabd42987b45340ac388402e2288543c25 | [] | no_license | lbordowitz/lean-category-theory | 5397361f0f81037d65762da48de2c16ec85a5e4b | 8c59893e44af3804eba4dbc5f7fa5928ed2e0ae6 | refs/heads/master | 1,611,310,752,156 | 1,487,070,172,000 | 1,487,070,172,000 | 82,003,141 | 0 | 0 | null | 1,487,118,553,000 | 1,487,118,553,000 | null | UTF-8 | Lean | false | false | 2,187 | 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
import .category
import .functor
import .natural_transformation
-- set_option pp.universes true
open tqft.categories
open tqft.categories.functor
namespace tqft.categories.products
universe variables u v
@[reducible] definition ProductCategory (C : Category) (D : Category) :
Category :=
{
Obj := C^.Obj × D^.Obj,
Hom := (λ X Y : C^.Obj × D^.Obj, C^.Hom (X^.fst) (Y^.fst) × D^.Hom (X^.snd) (Y^.snd)),
identity := λ X, (C^.identity (X^.fst), D^.identity (X^.snd)),
compose := λ _ _ _ f g, (C^.compose (f^.fst) (g^.fst), D^.compose (f^.snd) (g^.snd)),
left_identity := ♮,
right_identity := ♮,
associativity := begin
intros,
rewrite [ C^.associativity, D^.associativity ]
end
}
namespace ProductCategory
notation C `×` D := ProductCategory C D
end ProductCategory
definition ProductFunctor { A B C D : Category } ( F : Functor A B ) ( G : Functor C D ) : Functor (A × C) (B × D) :=
{
onObjects := λ X, (F X^.fst, G X^.snd),
onMorphisms := λ _ _ f, (F^.onMorphisms f^.fst, G^.onMorphisms f^.snd),
identities := ♮,
functoriality := ♮
}
namespace ProductFunctor
notation F `×` G := ProductFunctor F G
end ProductFunctor
@[reducible] definition SwitchProductCategory ( C D : Category ) : Functor (C × D) (D × C) :=
{
onObjects := λ X, (X^.snd, X^.fst),
onMorphisms := λ _ _ f, (f^.snd, f^.fst),
identities := ♮,
functoriality := ♮
}
lemma switch_twice_is_the_identity ( C D : Category ) : FunctorComposition ( SwitchProductCategory C D ) ( SwitchProductCategory D C ) = IdentityFunctor (C × D) := ♮
definition ProductCategoryAssociator ( C D E : Category.{ u v } ) : Functor ((C × D) × E) (C × (D × E)) :=
{
onObjects := λ X, (X^.fst^.fst, (X^.fst^.snd, X^.snd)),
onMorphisms := λ _ _ f, (f^.fst^.fst, (f^.fst^.snd, f^.snd)),
identities := ♮,
functoriality := ♮
}
end tqft.categories.products
|
29c53e550340834ba89a90eaa0ce41de3dc15c28 | 78630e908e9624a892e24ebdd21260720d29cf55 | /src/logic_first_order/fol_06.lean | 111cde219b98011f3d847f904ed1a6adb2eceb01 | [
"CC0-1.0"
] | permissive | tomasz-lisowski/lean-logic-examples | 84e612466776be0a16c23a0439ff8ef6114ddbe1 | 2b2ccd467b49c3989bf6c92ec0358a8d6ee68c5d | refs/heads/master | 1,683,334,199,431 | 1,621,938,305,000 | 1,621,938,305,000 | 365,041,573 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 872 | lean | namespace fol_06
variable A : Type
variables P Q : A → Prop
variable h : ¬ ∃ x, P x ∨ Q x
include h
theorem fol_06 : ∀ x, ¬ P x ∧ ¬ Q x :=
assume s,
have h1: ∀ t, ¬ (P t ∨ Q t), from
(assume t: A,
classical.by_contradiction
(assume h2: ¬¬(P t ∨ Q t),
have h3: P t ∨ Q t, from classical.by_contradiction h2,
h (exists.intro t h3))),
have h4: ¬ (P s ∨ Q s), from h1 s,
have h5: ¬ P s, from classical.by_contradiction
(assume h6: ¬¬P s,
have h7: P s, from classical.by_contradiction h6,
have h8: P s ∨ Q s, from or.inl h7,
h4 h8),
have h9: ¬ Q s, from classical.by_contradiction
(assume h10: ¬¬Q s,
have h11: Q s, from classical.by_contradiction h10,
have h12: P s ∨ Q s, from or.inr h11,
h4 h12),
have h13: ¬ P s ∧ ¬ Q s, from and.intro h5 h9,
show ¬P s ∧ ¬Q s, from h13
end fol_06 |
8a279e36ba79397049236e711a37fc62001ffce7 | 30b012bb72d640ec30c8fdd4c45fdfa67beb012c | /data/nat/prime.lean | cb5ac9f7b75b8dd8e519bced59f13d30b99e77e1 | [
"Apache-2.0"
] | permissive | kckennylau/mathlib | 21fb810b701b10d6606d9002a4004f7672262e83 | 47b3477e20ffb5a06588dd3abb01fe0fe3205646 | refs/heads/master | 1,634,976,409,281 | 1,542,042,832,000 | 1,542,319,733,000 | 109,560,458 | 0 | 0 | Apache-2.0 | 1,542,369,208,000 | 1,509,867,494,000 | Lean | UTF-8 | Lean | false | false | 16,447 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad, Mario Carneiro
Prime numbers.
-/
import data.nat.sqrt data.nat.gcd data.list.basic data.list.perm
open bool subtype
namespace nat
open decidable
/-- `prime p` means that `p` is a prime number, that is, a natural number
at least 2 whose only divisors are `p` and `1`. -/
def prime (p : ℕ) := p ≥ 2 ∧ ∀ m ∣ p, m = 1 ∨ m = p
theorem prime.ge_two {p : ℕ} : prime p → p ≥ 2 := and.left
theorem prime.gt_one {p : ℕ} : prime p → p > 1 := prime.ge_two
theorem prime_def_lt {p : ℕ} : prime p ↔ p ≥ 2 ∧ ∀ m < p, m ∣ p → m = 1 :=
and_congr_right $ λ p2, forall_congr $ λ m,
⟨λ h l d, (h d).resolve_right (ne_of_lt l),
λ h d, (decidable.lt_or_eq_of_le $
le_of_dvd (le_of_succ_le p2) d).imp_left (λ l, h l d)⟩
theorem prime_def_lt' {p : ℕ} : prime p ↔ p ≥ 2 ∧ ∀ m, 2 ≤ m → m < p → ¬ m ∣ p :=
prime_def_lt.trans $ and_congr_right $ λ p2, forall_congr $ λ m,
⟨λ h m2 l d, not_lt_of_ge m2 ((h l d).symm ▸ dec_trivial),
λ h l d, begin
rcases m with _|_|m,
{ rw eq_zero_of_zero_dvd d at p2, revert p2, exact dec_trivial },
{ refl },
{ exact (h dec_trivial l).elim d }
end⟩
theorem prime_def_le_sqrt {p : ℕ} : prime p ↔ p ≥ 2 ∧
∀ m, 2 ≤ m → m ≤ sqrt p → ¬ m ∣ p :=
prime_def_lt'.trans $ and_congr_right $ λ p2,
⟨λ a m m2 l, a m m2 $ lt_of_le_of_lt l $ sqrt_lt_self p2,
λ a, have ∀ {m k}, m ≤ k → 1 < m → p ≠ m * k, from
λ m k mk m1 e, a m m1
(le_sqrt.2 (e.symm ▸ mul_le_mul_left m mk)) ⟨k, e⟩,
λ m m2 l ⟨k, e⟩, begin
cases (le_total m k) with mk km,
{ exact this mk m2 e },
{ rw [mul_comm] at e,
refine this km (lt_of_mul_lt_mul_right _ (zero_le m)) e,
rwa [one_mul, ← e] }
end⟩
def decidable_prime_1 (p : ℕ) : decidable (prime p) :=
decidable_of_iff' _ prime_def_lt'
local attribute [instance] decidable_prime_1
lemma prime.ne_zero {n : ℕ} (h : prime n) : n ≠ 0 :=
assume hn : n = 0,
have h2 : ¬ prime 0, from dec_trivial,
h2 (hn ▸ h)
theorem prime.pos {p : ℕ} (pp : prime p) : p > 0 :=
lt_of_succ_lt pp.gt_one
theorem not_prime_zero : ¬ prime 0 := dec_trivial
theorem not_prime_one : ¬ prime 1 := dec_trivial
theorem prime_two : prime 2 := dec_trivial
theorem prime_three : prime 3 := dec_trivial
theorem prime.pred_pos {p : ℕ} (pp : prime p) : pred p > 0 :=
lt_pred_iff.2 pp.gt_one
theorem succ_pred_prime {p : ℕ} (pp : prime p) : succ (pred p) = p :=
succ_pred_eq_of_pos pp.pos
theorem dvd_prime {p m : ℕ} (pp : prime p) : m ∣ p ↔ m = 1 ∨ m = p :=
⟨λ d, pp.2 m d, λ h, h.elim (λ e, e.symm ▸ one_dvd _) (λ e, e.symm ▸ dvd_refl _)⟩
theorem dvd_prime_ge_two {p m : ℕ} (pp : prime p) (H : m ≥ 2) : m ∣ p ↔ m = p :=
(dvd_prime pp).trans $ or_iff_right_of_imp $ not.elim $ ne_of_gt H
theorem prime.not_dvd_one {p : ℕ} (pp : prime p) : ¬ p ∣ 1
| d := (not_le_of_gt pp.gt_one) $ le_of_dvd dec_trivial d
theorem not_prime_mul {a b : ℕ} (a1 : 1 < a) (b1 : 1 < b) : ¬ prime (a * b) :=
λ h, ne_of_lt (nat.mul_lt_mul_of_pos_left b1 (lt_of_succ_lt a1)) $
by simpa using (dvd_prime_ge_two h a1).1 (dvd_mul_right _ _)
section min_fac
private lemma min_fac_lemma (n k : ℕ) (h : ¬ k * k > n) :
sqrt n - k < sqrt n + 2 - k :=
(nat.sub_lt_sub_right_iff $ le_sqrt.2 $ le_of_not_gt h).2 $
nat.lt_add_of_pos_right dec_trivial
def min_fac_aux (n : ℕ) : ℕ → ℕ | k :=
if h : n < k * k then n else
if k ∣ n then k else
have _, from min_fac_lemma n k h,
min_fac_aux (k + 2)
using_well_founded {rel_tac :=
λ _ _, `[exact ⟨_, measure_wf (λ k, sqrt n + 2 - k)⟩]}
/-- Returns the smallest prime factor of `n ≠ 1`. -/
def min_fac : ℕ → ℕ
| 0 := 2
| 1 := 1
| (n+2) := if 2 ∣ n then 2 else min_fac_aux (n + 2) 3
@[simp] theorem min_fac_zero : min_fac 0 = 2 := rfl
@[simp] theorem min_fac_one : min_fac 1 = 1 := rfl
theorem min_fac_eq : ∀ n, min_fac n = if 2 ∣ n then 2 else min_fac_aux n 3
| 0 := rfl
| 1 := by simp [show 2≠1, from dec_trivial]; rw min_fac_aux; refl
| (n+2) :=
have 2 ∣ n + 2 ↔ 2 ∣ n, from
(nat.dvd_add_iff_left (by refl)).symm,
by simp [min_fac, this]; congr
private def min_fac_prop (n k : ℕ) :=
k ≥ 2 ∧ k ∣ n ∧ ∀ m ≥ 2, m ∣ n → k ≤ m
theorem min_fac_aux_has_prop {n : ℕ} (n2 : n ≥ 2) (nd2 : ¬ 2 ∣ n) :
∀ k i, k = 2*i+3 → (∀ m ≥ 2, m ∣ n → k ≤ m) → min_fac_prop n (min_fac_aux n k)
| k := λ i e a, begin
rw min_fac_aux,
by_cases h : n < k*k; simp [h],
{ have pp : prime n :=
prime_def_le_sqrt.2 ⟨n2, λ m m2 l d,
not_lt_of_ge l $ lt_of_lt_of_le (sqrt_lt.2 h) (a m m2 d)⟩,
from ⟨n2, dvd_refl _, λ m m2 d, le_of_eq
((dvd_prime_ge_two pp m2).1 d).symm⟩ },
have k2 : 2 ≤ k, { subst e, exact dec_trivial },
by_cases dk : k ∣ n; simp [dk],
{ exact ⟨k2, dk, a⟩ },
{ refine have _, from min_fac_lemma n k h,
min_fac_aux_has_prop (k+2) (i+1)
(by simp [e, left_distrib]) (λ m m2 d, _),
cases nat.eq_or_lt_of_le (a m m2 d) with me ml,
{ subst me, contradiction },
apply (nat.eq_or_lt_of_le ml).resolve_left, intro me,
rw [← me, e] at d, change 2 * (i + 2) ∣ n at d,
have := dvd_of_mul_right_dvd d, contradiction }
end
using_well_founded {rel_tac :=
λ _ _, `[exact ⟨_, measure_wf (λ k, sqrt n + 2 - k)⟩]}
theorem min_fac_has_prop {n : ℕ} (n1 : n ≠ 1) :
min_fac_prop n (min_fac n) :=
begin
by_cases n0 : n = 0, {simp [n0, min_fac_prop, ge]},
have n2 : 2 ≤ n, { revert n0 n1, rcases n with _|_|_; exact dec_trivial },
simp [min_fac_eq],
by_cases d2 : 2 ∣ n; simp [d2],
{ exact ⟨le_refl _, d2, λ k k2 d, k2⟩ },
{ refine min_fac_aux_has_prop n2 d2 3 0 rfl
(λ m m2 d, (nat.eq_or_lt_of_le m2).resolve_left (mt _ d2)),
exact λ e, e.symm ▸ d }
end
theorem min_fac_dvd (n : ℕ) : min_fac n ∣ n :=
by by_cases n1 : n = 1;
[exact n1.symm ▸ dec_trivial, exact (min_fac_has_prop n1).2.1]
theorem min_fac_prime {n : ℕ} (n1 : n ≠ 1) : prime (min_fac n) :=
let ⟨f2, fd, a⟩ := min_fac_has_prop n1 in
prime_def_lt'.2 ⟨f2, λ m m2 l d, not_le_of_gt l (a m m2 (dvd_trans d fd))⟩
theorem min_fac_le_of_dvd {n : ℕ} : ∀ {m : ℕ}, m ≥ 2 → m ∣ n → min_fac n ≤ m :=
by by_cases n1 : n = 1;
[exact λ m m2 d, n1.symm ▸ le_trans dec_trivial m2,
exact (min_fac_has_prop n1).2.2]
theorem min_fac_pos (n : ℕ) : min_fac n > 0 :=
by by_cases n1 : n = 1;
[exact n1.symm ▸ dec_trivial, exact (min_fac_prime n1).pos]
theorem min_fac_le {n : ℕ} (H : n > 0) : min_fac n ≤ n :=
le_of_dvd H (min_fac_dvd n)
theorem prime_def_min_fac {p : ℕ} : prime p ↔ p ≥ 2 ∧ min_fac p = p :=
⟨λ pp, ⟨pp.ge_two,
let ⟨f2, fd, a⟩ := min_fac_has_prop $ ne_of_gt pp.gt_one in
((dvd_prime pp).1 fd).resolve_left (ne_of_gt f2)⟩,
λ ⟨p2, e⟩, e ▸ min_fac_prime (ne_of_gt p2)⟩
instance decidable_prime (p : ℕ) : decidable (prime p) :=
decidable_of_iff' _ prime_def_min_fac
theorem not_prime_iff_min_fac_lt {n : ℕ} (n2 : n ≥ 2) : ¬ prime n ↔ min_fac n < n :=
(not_congr $ prime_def_min_fac.trans $ and_iff_right n2).trans $
(lt_iff_le_and_ne.trans $ and_iff_right $ min_fac_le $ le_of_succ_le n2).symm
end min_fac
theorem exists_dvd_of_not_prime {n : ℕ} (n2 : n ≥ 2) (np : ¬ prime n) :
∃ m, m ∣ n ∧ m ≠ 1 ∧ m ≠ n :=
⟨min_fac n, min_fac_dvd _, ne_of_gt (min_fac_prime (ne_of_gt n2)).gt_one,
ne_of_lt $ (not_prime_iff_min_fac_lt n2).1 np⟩
theorem exists_dvd_of_not_prime2 {n : ℕ} (n2 : n ≥ 2) (np : ¬ prime n) :
∃ m, m ∣ n ∧ m ≥ 2 ∧ m < n :=
⟨min_fac n, min_fac_dvd _, (min_fac_prime (ne_of_gt n2)).ge_two,
(not_prime_iff_min_fac_lt n2).1 np⟩
theorem exists_prime_and_dvd {n : ℕ} (n2 : n ≥ 2) : ∃ p, prime p ∧ p ∣ n :=
⟨min_fac n, min_fac_prime (ne_of_gt n2), min_fac_dvd _⟩
theorem exists_infinite_primes (n : ℕ) : ∃ p, p ≥ n ∧ prime p :=
let p := min_fac (fact n + 1) in
have f1 : fact n + 1 ≠ 1, from ne_of_gt $ succ_lt_succ $ fact_pos _,
have pp : prime p, from min_fac_prime f1,
have np : n ≤ p, from le_of_not_ge $ λ h,
have h₁ : p ∣ fact n, from dvd_fact (min_fac_pos _) h,
have h₂ : p ∣ 1, from (nat.dvd_add_iff_right h₁).2 (min_fac_dvd _),
pp.not_dvd_one h₂,
⟨p, np, pp⟩
lemma prime.eq_two_or_odd {p : ℕ} (hp : prime p) : p = 2 ∨ p % 2 = 1 :=
(nat.mod_two_eq_zero_or_one p).elim
(λ h, or.inl ((hp.2 2 (dvd_of_mod_eq_zero h)).resolve_left dec_trivial).symm)
or.inr
theorem factors_lemma {k} : (k+2) / min_fac (k+2) < k+2 :=
div_lt_self dec_trivial (min_fac_prime dec_trivial).gt_one
/-- `factors n` is the prime factorization of `n`, listed in increasing order. -/
def factors : ℕ → list ℕ
| 0 := []
| 1 := []
| n@(k+2) :=
let m := min_fac n in have n / m < n := factors_lemma,
m :: factors (n / m)
lemma mem_factors : ∀ {n p}, p ∈ factors n → prime p
| 0 := λ p, false.elim
| 1 := λ p, false.elim
| n@(k+2) := λ p h,
let m := min_fac n in have n / m < n := factors_lemma,
have h₁ : p = m ∨ p ∈ (factors (n / m)) :=
(list.mem_cons_iff _ _ _).1 h,
or.cases_on h₁ (λ h₂, h₂.symm ▸ min_fac_prime dec_trivial)
mem_factors
lemma prod_factors : ∀ {n}, 0 < n → list.prod (factors n) = n
| 0 := (lt_irrefl _).elim
| 1 := λ h, rfl
| n@(k+2) := λ h,
let m := min_fac n in have n / m < n := factors_lemma,
show list.prod (m :: factors (n / m)) = n, from
have h₁ : 0 < n / m :=
nat.pos_of_ne_zero $ λ h,
have n = 0 * m := (nat.div_eq_iff_eq_mul_left (min_fac_pos _) (min_fac_dvd _)).1 h,
by rw zero_mul at this; exact (show k + 2 ≠ 0, from dec_trivial) this,
by rw [list.prod_cons, prod_factors h₁, nat.mul_div_cancel' (min_fac_dvd _)]
theorem prime.coprime_iff_not_dvd {p n : ℕ} (pp : prime p) : coprime p n ↔ ¬ p ∣ n :=
⟨λ co d, pp.not_dvd_one $ co.dvd_of_dvd_mul_left (by simp [d]),
λ nd, coprime_of_dvd $ λ m m2 mp, ((dvd_prime_ge_two pp m2).1 mp).symm ▸ nd⟩
theorem prime.dvd_iff_not_coprime {p n : ℕ} (pp : prime p) : p ∣ n ↔ ¬ coprime p n :=
iff_not_comm.2 pp.coprime_iff_not_dvd
theorem prime.dvd_mul {p m n : ℕ} (pp : prime p) : p ∣ m * n ↔ p ∣ m ∨ p ∣ n :=
⟨λ H, or_iff_not_imp_left.2 $ λ h,
(pp.coprime_iff_not_dvd.2 h).dvd_of_dvd_mul_left H,
or.rec (λ h, dvd_mul_of_dvd_left h _) (λ h, dvd_mul_of_dvd_right h _)⟩
theorem prime.not_dvd_mul {p m n : ℕ} (pp : prime p)
(Hm : ¬ p ∣ m) (Hn : ¬ p ∣ n) : ¬ p ∣ m * n :=
mt pp.dvd_mul.1 $ by simp [Hm, Hn]
theorem prime.dvd_of_dvd_pow {p m n : ℕ} (pp : prime p) (h : p ∣ m^n) : p ∣ m :=
by induction n with n IH;
[exact pp.not_dvd_one.elim h,
exact (pp.dvd_mul.1 h).elim IH id]
lemma prime.dvd_fact : ∀ {n p : ℕ} (hp : prime p), p ∣ n.fact ↔ p ≤ n
| 0 p hp := iff_of_false hp.not_dvd_one (not_le_of_lt hp.pos)
| (n+1) p hp := begin
rw [fact_succ, hp.dvd_mul, prime.dvd_fact hp],
exact ⟨λ h, h.elim (le_of_dvd (succ_pos _)) le_succ_of_le,
λ h, (_root_.lt_or_eq_of_le h).elim (or.inr ∘ le_of_lt_succ)
(λ h, or.inl $ by rw h)⟩
end
theorem prime.coprime_pow_of_not_dvd {p m a : ℕ} (pp : prime p) (h : ¬ p ∣ a) : coprime a (p^m) :=
(pp.coprime_iff_not_dvd.2 h).symm.pow_right _
theorem coprime_primes {p q : ℕ} (pp : prime p) (pq : prime q) : coprime p q ↔ p ≠ q :=
pp.coprime_iff_not_dvd.trans $ not_congr $ dvd_prime_ge_two pq pp.ge_two
theorem coprime_pow_primes {p q : ℕ} (n m : ℕ) (pp : prime p) (pq : prime q) (h : p ≠ q) :
coprime (p^n) (q^m) :=
((coprime_primes pp pq).2 h).pow _ _
theorem coprime_or_dvd_of_prime {p} (pp : prime p) (i : ℕ) : coprime p i ∨ p ∣ i :=
by rw [pp.dvd_iff_not_coprime]; apply em
theorem dvd_prime_pow {p : ℕ} (pp : prime p) {m i : ℕ} : i ∣ (p^m) ↔ ∃ k ≤ m, i = p^k :=
begin
induction m with m IH generalizing i, {simp [pow_succ, le_zero_iff] at *},
by_cases p ∣ i,
{ cases h with a e, subst e,
rw [pow_succ, mul_comm (p^m) p, nat.mul_dvd_mul_iff_left pp.pos, IH],
split; intro h; rcases h with ⟨k, h, e⟩,
{ exact ⟨succ k, succ_le_succ h, by rw [mul_comm, e]; refl⟩ },
cases k with k,
{ apply pp.not_dvd_one.elim,
simp at e, rw ← e, apply dvd_mul_right },
{ refine ⟨k, le_of_succ_le_succ h, _⟩,
rwa [mul_comm, pow_succ, nat.mul_right_inj pp.pos] at e } },
{ split; intro d,
{ rw (pp.coprime_pow_of_not_dvd h).eq_one_of_dvd d,
exact ⟨0, zero_le _, rfl⟩ },
{ rcases d with ⟨k, l, e⟩,
rw e, exact pow_dvd_pow _ l } }
end
section
open list
lemma mem_list_primes_of_dvd_prod {p : ℕ} (hp : prime p) :
∀ {l : list ℕ}, (∀ p ∈ l, prime p) → p ∣ prod l → p ∈ l
| [] := λ h₁ h₂, absurd h₂ (prime.not_dvd_one hp)
| (q :: l) := λ h₁ h₂,
have h₃ : p ∣ q * prod l := @prod_cons _ _ l q ▸ h₂,
have hq : prime q := h₁ q (mem_cons_self _ _),
or.cases_on ((prime.dvd_mul hp).1 h₃)
(λ h, by rw [prime.dvd_iff_not_coprime hp, coprime_primes hp hq, ne.def, not_not] at h;
exact h ▸ mem_cons_self _ _)
(λ h, have hl : ∀ p ∈ l, prime p := λ p hlp, h₁ p ((mem_cons_iff _ _ _).2 (or.inr hlp)),
(mem_cons_iff _ _ _).2 (or.inr (mem_list_primes_of_dvd_prod hl h)))
lemma mem_factors_iff_dvd {n p : ℕ} (hn : 0 < n) (hp : prime p) : p ∈ factors n ↔ p ∣ n :=
⟨λ h, prod_factors hn ▸ list.dvd_prod h,
λ h, mem_list_primes_of_dvd_prod hp (@mem_factors n) ((prod_factors hn).symm ▸ h)⟩
lemma perm_of_prod_eq_prod : ∀ {l₁ l₂ : list ℕ}, prod l₁ = prod l₂ →
(∀ p ∈ l₁, prime p) → (∀ p ∈ l₂, prime p) → l₁ ~ l₂
| [] [] _ _ _ := perm.nil
| [] (a :: l) h₁ h₂ h₃ :=
have ha : a ∣ 1 := @prod_nil ℕ _ ▸ h₁.symm ▸ (@prod_cons _ _ l a).symm ▸ dvd_mul_right _ _,
absurd ha (prime.not_dvd_one (h₃ a (mem_cons_self _ _)))
| (a :: l) [] h₁ h₂ h₃ :=
have ha : a ∣ 1 := @prod_nil ℕ _ ▸ h₁ ▸ (@prod_cons _ _ l a).symm ▸ dvd_mul_right _ _,
absurd ha (prime.not_dvd_one (h₂ a (mem_cons_self _ _)))
| (a :: l₁) (b :: l₂) h hl₁ hl₂ :=
have hl₁' : ∀ p ∈ l₁, prime p := λ p hp, hl₁ p (mem_cons_of_mem _ hp),
have hl₂' : ∀ p ∈ (b :: l₂).erase a, prime p := λ p hp, hl₂ p (mem_of_mem_erase hp),
have ha : a ∈ (b :: l₂) := mem_list_primes_of_dvd_prod (hl₁ a (mem_cons_self _ _)) hl₂
(h ▸ by rw prod_cons; exact dvd_mul_right _ _),
have hb : b :: l₂ ~ a :: (b :: l₂).erase a := perm_erase ha,
have hl : prod l₁ = prod ((b :: l₂).erase a) :=
(nat.mul_left_inj (prime.pos (hl₁ a (mem_cons_self _ _)))).1 $
by rwa [← prod_cons, ← prod_cons, ← prod_eq_of_perm hb],
perm.trans (perm.skip _ (perm_of_prod_eq_prod hl hl₁' hl₂')) hb.symm
lemma factors_unique {n : ℕ} {l : list ℕ} (h₁ : prod l = n) (h₂ : ∀ p ∈ l, prime p) : l ~ factors n :=
have hn : 0 < n := nat.pos_of_ne_zero $ λ h, begin
rw h at *, clear h,
induction l with a l hi,
{ exact absurd h₁ dec_trivial },
{ rw prod_cons at h₁,
exact nat.mul_ne_zero (ne_of_lt (prime.pos (h₂ a (mem_cons_self _ _)))).symm
(hi (λ p hp, h₂ p (mem_cons_of_mem _ hp))) h₁ }
end,
perm_of_prod_eq_prod (by rwa prod_factors hn) h₂ (@mem_factors _)
end
lemma succ_dvd_or_succ_dvd_of_succ_sum_dvd_mul {p : ℕ} (p_prime : prime p) {m n k l : ℕ}
(hpm : p ^ k ∣ m) (hpn : p ^ l ∣ n) (hpmn : p ^ (k+l+1) ∣ m*n) :
p ^ (k+1) ∣ m ∨ p ^ (l+1) ∣ n :=
have hpd : p^(k+l) * p ∣ m*n, from hpmn,
have hpd2 : p ∣ (m*n) / p ^ (k+l), from dvd_div_of_mul_dvd hpd,
have hpd3 : p ∣ (m*n) / (p^k * p^l), by simpa [nat.pow_add] using hpd2,
have hpd4 : p ∣ (m / p^k) * (n / p^l), by simpa [nat.div_mul_div hpm hpn] using hpd3,
have hpd5 : p ∣ (m / p^k) ∨ p ∣ (n / p^l), from (prime.dvd_mul p_prime).1 hpd4,
show p^k*p ∣ m ∨ p^l*p ∣ n, from
hpd5.elim
(assume : p ∣ m / p ^ k, or.inl $ mul_dvd_of_dvd_div hpm this)
(assume : p ∣ n / p ^ l, or.inr $ mul_dvd_of_dvd_div hpn this)
end nat
|
595f5474b2872d028a1ba1b02d67a46831858b69 | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/data/vector/zip.lean | 7b4bb6dbae8a57364a0efb6af3c8a6e75e8cda7f | [
"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 | 1,165 | lean | /-
Copyright (c) 2021 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import data.vector.basic
import data.list.zip
/-!
# The `zip_with` operation on vectors.
-/
namespace vector
section zip_with
variables {α β γ : Type*} {n : ℕ} (f : α → β → γ)
/-- Apply the function `f : α → β → γ` to each corresponding pair of elements from two vectors. -/
def zip_with : vector α n → vector β n → vector γ n :=
λ x y, ⟨list.zip_with f x.1 y.1, by simp⟩
@[simp]
lemma zip_with_to_list (x : vector α n) (y : vector β n) :
(vector.zip_with f x y).to_list = list.zip_with f x.to_list y.to_list :=
rfl
@[simp]
lemma zip_with_nth (x : vector α n) (y : vector β n) (i) :
(vector.zip_with f x y).nth i = f (x.nth i) (y.nth i) :=
begin
dsimp only [vector.zip_with, vector.nth],
cases x, cases y,
simp only [list.nth_le_zip_with, subtype.coe_mk],
congr,
end
@[simp]
lemma zip_with_tail (x : vector α n) (y : vector β n) :
(vector.zip_with f x y).tail = vector.zip_with f x.tail y.tail :=
by { ext, simp [nth_tail], }
end zip_with
end vector
|
98f87333ce336f1dc80b9e8b0d1f2bc6f4cc56b1 | ec5e5a9dbe7f60fa5784d15211d8bf24ada0825c | /src/PP.lean | 07b4e36655d2903f3fe65995762e1877d446e5d9 | [] | no_license | pnwamk/lean-llvm | fcd9a828e52e80eb197f7d9032b3846f2e09ef74 | ebc3bca9a57a6aef29529d46394f560398fb5c9c | refs/heads/master | 1,668,418,078,706 | 1,593,548,643,000 | 1,593,548,643,000 | 258,617,753 | 0 | 0 | null | 1,587,760,298,000 | 1,587,760,298,000 | null | UTF-8 | Lean | false | false | 21,557 | lean | import Init.Data.List
import Init.Data.RBMap
import Init.Data.String
import LeanLLVM.AST
namespace LLVM
structure Doc : Type := (compose : String → String).
class HasPP (α:Type _) := (pp : α → Doc)
export HasPP (pp)
namespace Doc
reserve infixl ` <+> `: 50
reserve infixl ` $+$ `: 60
def text (x:String) := Doc.mk (fun z => x ++ z).
def render (x:Doc) : String := x.compose "".
def toDoc {a:Type} [HasToString a] : a → Doc := text ∘ toString.
def empty : Doc := Doc.mk id.
def next_to (x y : Doc) : Doc := Doc.mk (x.compose ∘ y.compose).
reserve infixl ` <> `: 50
infix <> := next_to.
instance : Inhabited Doc := ⟨empty⟩
def spacesep (x y:Doc) : Doc := x <> text " " <> y
def linesep (x y:Doc) : Doc := x <> text "\n" <> y
infix <+> := spacesep
infix $+$ := linesep
def hcat (xs:List Doc) : Doc := List.foldr next_to empty xs.
def hsep (xs:List Doc) : Doc := List.foldr spacesep empty xs.
def vcat (xs:List Doc) : Doc := List.foldr linesep empty xs.
def punctuate (p:Doc) : List Doc → List Doc
| [ ] => []
| (x::xs) => x :: (List.foldr (fun a b => p :: a :: b) [] xs)
def nat : Nat → Doc := text ∘ toString
def int : Int → Doc := text ∘ toString
def pp_nonzero : Nat → Doc
| Nat.zero => empty
| n => nat n
def surrounding (first last : String) (x:Doc) : Doc :=
text first <> x <> text last
def parens : Doc → Doc := surrounding "(" ")"
def brackets : Doc → Doc := surrounding "[" "]"
def angles : Doc → Doc := surrounding "<" ">"
def braces : Doc → Doc := surrounding "{" "}"
def comma : Doc := text ","
def commas : List Doc → Doc := hcat ∘ punctuate comma
def quotes : Doc → Doc := surrounding "\'" "\'"
def dquotes : Doc → Doc := surrounding "\"" "\""
def pp_opt {A:Type} (f:A → Doc) : Option A → Doc
| some a => f a
| none => empty
end Doc
end LLVM
namespace LLVM
open Doc
namespace AlignType
def ppDoc : AlignType → Doc
| integer => text "i"
| vector => text "v"
| float => text "f"
instance : HasPP AlignType := ⟨ppDoc⟩
end AlignType
namespace Mangling
def ppDoc : Mangling → Doc
| elf => text "e"
| mips => text "m"
| mach_o => text "o"
| windows_coff => text "w"
| windows_coff_x86 => text "x"
instance : HasPP Mangling := ⟨ppDoc⟩
end Mangling
namespace LayoutSpec
def ppDoc : LayoutSpec → Doc
| endianness Endian.big => text "E"
| endianness Endian.little => text "e"
| pointerSize addrSpace sz abi pref idx =>
text "p" <> pp_nonzero addrSpace <> text ":"
<> nat sz <> text ":"
<> nat abi <> text ":"
<> nat pref <> text ":"
<> pp_opt (λi => text ":" <> nat i) idx
| alignSize tp sz abi pref =>
pp tp <> nat sz <> text ":" <> nat abi <> pp_opt (λx => text ":" <> nat x) pref
| nativeIntSize szs => text "n" <> hcat (punctuate (text ":") (List.map nat szs))
| stackAlign n => text "S" <> nat n
| aggregateAlign abi pref => text "a:" <> nat abi <> text ":" <> nat pref
| mangling m => text "m:" <> pp m
| functionAddressSpace n => text "P" <> nat n
| stackAlloca n => text "A" <> nat n
instance : HasPP LayoutSpec := ⟨ppDoc⟩
end LayoutSpec
section LayoutSpec
open LayoutSpec
def pp_layout (xs:List LayoutSpec) : Doc := hcat (punctuate (text "-") (pp <$> xs))
def l1 : List LayoutSpec :=
[ endianness Endian.big,
mangling Mangling.mach_o,
pointerSize 0 64 64 64 none,
alignSize AlignType.integer 64 64 none,
alignSize AlignType.float 80 128 none,
alignSize AlignType.float 64 64 none,
nativeIntSize [8,16,32,64],
stackAlign 128
]
end LayoutSpec
-- FIXME! We need to handle escaping...
def pp_string_literal : String → Doc := dquotes ∘ text
namespace Ident
def ppDoc : Ident → Doc
| named nm => text "%" <> text nm -- FIXME! deal with the 'validIdentifier' question
| anon i => text "%" <> toDoc i
instance : HasPP Ident := ⟨ppDoc⟩
end Ident
namespace Symbol
def ppDoc (n:Symbol) : Doc := text "@" <> text (n.symbol)
instance : HasPP Symbol := ⟨ppDoc⟩
end Symbol
namespace BlockLabel
instance : HasPP BlockLabel := ⟨λl => pp l.label⟩
end BlockLabel
def packed_braces : Doc → Doc := surrounding "<{" "}>"
namespace FloatType
def ppDoc : FloatType → Doc
| half => text "half"
| float => text "float"
| double => text "double"
| fp128 => text "fp128"
| x86FP80 => text "x86_fp80"
| ppcFP128 => text "ppcfp128"
instance : HasPP FloatType := ⟨ppDoc⟩
end FloatType
namespace PrimType
def ppDoc : PrimType → Doc
| label => text "label"
| token => text "token"
| void => text "void"
| x86mmx => text "x86mmx"
| metadata => text "metadata"
| floatType f => pp f
| integer n => text "i" <> int n
instance : HasPP PrimType := ⟨ppDoc⟩
end PrimType
def pp_arg_list (va:Bool) (xs:List Doc) : Doc :=
parens (commas (xs ++ if va then [text "..."] else []))
/-
meta def pp_type_tac :=
`[unfold has_well_founded.r measure inv_image sizeof has_sizeof.sizeof
llvm_type.sizeof
at *,
try { linarith }
].
-/
namespace LLVMType
partial def ppDoc : LLVMType → Doc
| prim pt => pp pt
| alias nm => text "%" <> text nm
| array len ty => brackets (int len <+> text "x" <+> ppDoc ty)
| funType ret args va => ppDoc ret <> pp_arg_list va (ppDoc <$> args.toList)
| ptr ty => ppDoc ty <> text "*"
| struct false ts => braces (commas (ppDoc <$> ts.toList))
| struct true ts => packed_braces (commas (ppDoc <$> ts.toList))
| vector len ty => angles (int len <+> text "x" <+> ppDoc ty)
instance : HasPP LLVMType := ⟨ppDoc⟩
end LLVMType
namespace Typed
def pp_with {α} (f:α → Doc) (x:Typed α) := pp x.type <+> f x.value
instance {α} [HasPP α] : HasPP (Typed α) := ⟨pp_with pp⟩
end Typed
namespace ConvOp
def ppDoc : ConvOp → Doc
| trunc => text "trunc"
| zext => text "zext"
| sext => text "sext"
| fp_trunc => text "fptrunc"
| fp_ext => text "fpext"
| fp_to_ui => text "fptoui"
| fp_to_si => text "fptosi"
| ui_to_fp => text "uitofp"
| si_to_fp => text "sitofp"
| ptr_to_int => text "ptrtoint"
| int_to_ptr => text "inttoptr"
| bit_cast => text "bitcast"
instance : HasPP ConvOp := ⟨ppDoc⟩
end ConvOp
def pp_wrap_bits (nuw nsw:Bool) : Doc :=
(if nuw then text " nuw" else empty) <>
(if nsw then text " nsw" else empty)
def pp_exact_bit (exact:Bool) : Doc :=
if exact then text " exact" else empty
namespace ArithOp
def ppDoc : ArithOp → Doc
| add nuw nsw => text "add" <> pp_wrap_bits nuw nsw
| sub nuw nsw => text "sub" <> pp_wrap_bits nuw nsw
| mul nuw nsw => text "mul" <> pp_wrap_bits nuw nsw
| udiv exact => text "udiv" <> pp_exact_bit exact
| sdiv exact => text "sdiv" <> pp_exact_bit exact
| urem => text "urem"
| srem => text "srem"
| fadd => text "fadd"
| fsub => text "fsub"
| fmul => text "fmul"
| fdiv => text "fdiv"
| frem => text "frem"
instance : HasPP ArithOp := ⟨ppDoc⟩
end ArithOp
namespace ICmpOp
def ppDoc : ICmpOp → Doc
| ieq => text "eq"
| ine => text "ne"
| iugt => text "ugt"
| iult => text "ult"
| iuge => text "uge"
| iule => text "ule"
| isgt => text "sgt"
| islt => text "slt"
| isge => text "sge"
| isle => text "sle"
instance : HasPP ICmpOp := ⟨ppDoc⟩
end ICmpOp
namespace FCmpOp
def ppDoc : FCmpOp → Doc
| ffalse => text "false"
| ftrue => text "true"
| foeq => text "oeq"
| fogt => text "ogt"
| foge => text "oge"
| folt => text "olt"
| fole => text "ole"
| fone => text "one"
| ford => text "ord"
| fueq => text "ueq"
| fugt => text "ugt"
| fuge => text "uge"
| fult => text "ult"
| fule => text "ule"
| fune => text "une"
| funo => text "uno"
instance : HasPP FCmpOp := ⟨ppDoc⟩
end FCmpOp
namespace BitOp
def ppDoc : BitOp → Doc
| shl nuw nsw => text "shl" <> pp_wrap_bits nuw nsw
| lshr exact => text "lshr" <> pp_exact_bit exact
| ashr exact => text "ashr" <> pp_exact_bit exact
| and => text "and"
| or => text "or"
| xor => text "xor"
instance : HasPP BitOp := ⟨ppDoc⟩
end BitOp
/-
meta def pp_val_tac :=
`[unfold has_well_founded.r measure inv_image sized.psum_size sizeof has_sizeof.sizeof
typed.sizeof const_expr.sizeof value.sizeof val_md.sizeof debug_loc.sizeof option.sizeof
at *,
repeat { rw llvm.typed.sizeof_spec' at *, unfold sizeof has_sizeof.sizeof at * },
try { linarith }
].
-/
section pp
open ConstExpr
def pp_const_expr (pp_value : Value → Doc) : ConstExpr → Doc
| select cond x y =>
text "select" <+> cond.pp_with pp_value <+> text ","
<+> x.pp_with pp_value <+> text ","
<+> pp_value y.value
| gep inbounds inrange tp vs =>
text "getelementpointer"
<+> (if inbounds then text "inbounds " else empty)
<> parens (pp tp <> comma <+> commas (vs.toList.map (λv => v.pp_with pp_value)))
| conv op x tp => pp op <+> parens (x.pp_with pp_value <+> text "to" <+> pp tp)
| arith op x y => pp op <+> parens (x.pp_with pp_value <> comma <+> pp_value y)
| fcmp op x y =>
text "fcmp"
<+> pp op
<+> parens (x.pp_with pp_value <> comma <+> y.pp_with pp_value)
| icmp op x y =>
text "icmp" <+> pp op
<+> parens (x.pp_with pp_value <> comma <+> y.pp_with pp_value)
| bit op x y =>
pp op <+> parens (x.pp_with pp_value <> comma <+> pp_value y)
| blockAddr sym lab =>
text "blockaddress" <+> parens (pp sym <> comma <+> pp lab)
open DebugLoc
def pp_debug_loc (pp_md : ValMD → Doc) : DebugLoc → Doc
| debugLoc line col scope none =>
text "!DILocation" <> parens (commas
[ text "line:" <+> int line
, text "column:" <+> int col
, text "scope:" <+> pp_md scope
])
| debugLoc line col scope (some ia) =>
text "!DILocation" <> parens (commas
[ text "line:" <+> int line
, text "column:" <+> int col
, text "scope:" <+> pp_md scope
, text "inlinedAt:" <+> pp_md ia
])
open ValMD
partial def pp_md (pp_value : Value → Doc) : ValMD → Doc
| string s => text "!" <> pp_string_literal s
| value x => x.pp_with pp_value
| ref i => text "!" <> int i
| node xs =>
text "!" <> braces (commas (xs.map (λ mx => Option.casesOn mx (text "null") pp_md)))
| loc l => pp_debug_loc pp_md l
| debugInfo => empty
open Value
partial def pp_value : Value → Doc
| null => text "null"
| undef => text "undef"
| zeroInit => text "0"
| integer i => toDoc i
| Value.bool b => toDoc b
| string s => text "c" <> pp_string_literal s
| ident n => pp n
| symbol n => pp n
| constExpr e => pp_const_expr pp_value e
| label l => pp l
| array tp vs => brackets (commas (vs.toList.map (λv => pp tp <+> pp_value v)))
| vector tp vs => angles (commas (vs.toList.map (λv => pp tp <+> pp_value v)))
| struct fs => braces (commas (fs.toList.map (λf => f.pp_with pp_value)))
| packedStruct fs => packed_braces (commas (fs.toList.map (λf => f.pp_with pp_value)))
| md d => pp_md pp_value d
instance : HasPP Value := ⟨pp_value⟩
end pp
namespace AtomicOrdering
protected def pp : AtomicOrdering → Doc
| unordered => text "unordered"
| monotonic => text "monotonic"
| acquire => text "acquire"
| release => text "release"
| acqRel => text "acq_rel"
| seqCst => text "seq_cst"
instance : HasPP AtomicOrdering := ⟨AtomicOrdering.pp⟩
end AtomicOrdering
def pp_align : Option Nat → Doc
| some a => comma <+> text "align" <+> nat a
| none => empty
def pp_scope : Option String → Doc :=
pp_opt (λnm => text "syncscope" <> parens (pp_string_literal nm))
def pp_call (tailcall:Bool) (mty:Option LLVMType) (f:Value) (args:List (Typed Value)) : Doc :=
(if tailcall then text "tail call" else text "call") <+>
match mty with
| none => text "void"
| some ty => pp ty <+> pp f <+> parens (commas (args.map pp))
def pp_alloca (tp:LLVMType) (len:Option (Typed Value)) (align:Option Nat) : Doc :=
text "alloca" <+> pp tp <>
pp_opt (λv => comma <+> pp v) len <>
pp_align align
def pp_load (ptr:Typed Value) (ord:Option AtomicOrdering) (align : Option Nat) : Doc :=
text "load" <>
(if Option.isSome ord then text " atomic" else empty) <+>
pp ptr <>
pp_opt pp ord <>
pp_opt pp_align align
def pp_store (val:Typed Value) (ptr:Typed Value) (align:Option Nat) : Doc :=
text "store" <+> pp val <> comma <+> pp ptr <> pp_align align
def pp_phi_arg (vl:Value × BlockLabel) : Doc :=
brackets (pp vl.1 <> comma <+> pp vl.2)
def pp_gep (bounds:Bool) (base:Typed Value) (xs:List (Typed Value)) : Doc :=
text "getelementpointer" <>
(if bounds then text " inbounds" else empty) <+>
commas (pp base :: xs.map pp)
def pp_vector_index (v:Value) : Doc := text "i" <> int 32 <+> pp v
def pp_typed_label (l:BlockLabel) : Doc := text "label" <+> pp l
def pp_invoke (ty:LLVMType) (f:Value) (args:List (Typed Value)) (to:BlockLabel) (uw:BlockLabel) : Doc :=
text "invoke" <+> pp ty <+> pp f <>
parens (commas (pp <$> args)) <+>
text "to label" <+> pp to <+>
text "unwind label" <+> pp uw
def pp_clause : (clause × Typed Value)→ Doc
| (clause.catch, v) => text "catch" <+> pp v
| (clause.filter, v) => text "filter" <+> pp v
def pp_clauses (is_cleanup:Bool) (cs:List (clause × Typed Value) ): Doc :=
hsep ((if is_cleanup then [text "cleanup"] else []) ++ cs.map pp_clause)
def pp_switch_entry (ty:LLVMType) : (Nat × BlockLabel) → Doc
| (i, l) => pp ty <+> nat i <> comma <+> pp l
namespace Instruction
protected
def ppDoc : Instruction → Doc
| ret v => text "ret" <+> pp v
| retVoid => text "ret void"
| arith op x y => pp op <+> pp x <> comma <+> pp y
| bit op x y => pp op <+> pp x <> comma <+> pp y
| conv op x ty => pp op <+> pp x <+> text "to" <+> pp ty
| call tailcall ty f args => pp_call tailcall ty f args.toList
| alloca tp len align => pp_alloca tp len align
| load ptr ord align => pp_load ptr ord align
| store val ptr align => pp_store val ptr align
| icmp op x y => text "icmp" <+> pp op <+> pp x <> comma <+> pp y
| fcmp op x y => text "fcmp" <+> pp op <+> pp x <> comma <+> pp y
| phi ty vls => text "phi" <+> pp ty <+> commas (vls.toList.map pp_phi_arg)
| gep bounds base args => pp_gep bounds base args.toList
| select cond x y =>
text "select" <+> pp cond <> comma <+> pp x <> comma <+> pp x.type <+> pp y
| extractvalue v i =>
text "extractvalue" <+> pp v <> comma <+> commas (i.map nat)
| insertvalue v e i =>
text "insertvalue" <+> pp v <> comma <+> pp e <> comma <+> commas (nat <$> i)
| extractelement v i =>
text "extractelement" <+> pp v <> comma <+> pp_vector_index i
| insertelement v e i =>
text "insertelement" <+> pp v <> comma <+> pp e <> comma <+> pp_vector_index i
| shufflevector a b m =>
text "shufflevector" <+> pp a <> comma <+> pp a.type <+> pp b <> comma <+> pp m
| jump l =>
text "jump label" <+> pp l
| br cond thn els =>
text "br" <+> pp cond <> comma <+>
text "label" <+> pp thn <> comma <+> text "label" <+> pp els
| invoke tp f args to uw => pp_invoke tp f args to uw
| comment str =>
text ";" <> text str
| unreachable =>
text "unreachable"
| unwind => text "unwind"
| va_arg v tp => text "va_arg" <+> pp v <> comma <+> pp tp
| indirectbr d ls =>
text "indirectbr" <+> pp d <> comma <+> commas (pp_typed_label <$> ls)
| switch c d ls =>
text "switch" <+> pp c <> comma <+>
pp_typed_label d <+>
brackets (hcat (pp_switch_entry c.type <$> ls))
| landingpad ty mfn c cs =>
text "landingpad" <+> pp ty <>
pp_opt (λv => text " personality" <+> pp v) mfn <+>
pp_clauses c cs
| resume v => text "resume" <+> pp v
instance : HasPP Instruction := ⟨Instruction.ppDoc⟩
end Instruction
namespace Stmt
def ppDoc (s:Stmt) : Doc :=
text " " <>
match s.assign with
| none => pp s.instr
| some i => pp i <+> text "=" <+> pp s.instr
-- <> pp_attached_metadata s.metadata
instance : HasPP Stmt := ⟨ppDoc⟩
end Stmt
namespace BasicBlock
def ppDoc (bb:BasicBlock) := vcat ([ pp bb.label <> text ":" ] ++ pp <$> bb.stmts.toList)
instance : HasPP BasicBlock := ⟨ppDoc⟩
end BasicBlock
def pp_comdat_name (nm:String) : Doc :=
text "comdat" <> parens (text "$" <> text nm)
namespace FunAttr
protected def pp : FunAttr → Doc
| align_stack w => text "alignstack" <> parens (nat w)
| alwaysinline => text "alwaysinline"
| builtin => text "builtin"
| cold => text "cold"
| inlinehint => text "inlinehint"
| jumptable => text "jumptable"
| minsize => text "minsize"
| naked => text "naked"
| nobuiltin => text "nobuiltin"
| noduplicate => text "noduplicate"
| noimplicitfloat => text "noimplicitfloat"
| noinline => text "noinline"
| nonlazybind => text "nonlazybind"
| noredzone => text "noredzone"
| noreturn => text "noreturn"
| nounwind => text "nounwind"
| optnone => text "optnone"
| optsize => text "optsize"
| readnone => text "readnone"
| readonly => text "readonly"
| returns_twice => text "returns_twice"
| sanitize_address => text "sanitize_address"
| sanitize_memory => text "sanitize_memory"
| sanitize_thread => text "sanitize_thread"
| ssp => text "ssp"
| ssp_req => text "sspreq"
| ssp_strong => text "sspstrong"
| uwtable => text "uwtable"
instance : HasPP FunAttr := ⟨FunAttr.pp⟩
end FunAttr
namespace Declare
def ppDoc (d:Declare) : Doc :=
text "declare" <+>
pp d.retType <+>
pp d.name <>
pp_arg_list d.varArgs (pp <$> d.args.toList) <+>
hsep (pp <$> d.attrs.toList) <>
pp_opt (λnm => text " " <> pp_comdat_name nm) d.comdat
instance : HasPP Declare := ⟨ppDoc⟩
end Declare
namespace Linkage
protected def pp : Linkage → Doc
| private_linkage => text "private"
| linker_private => text "linker_private"
| linker_private_weak => text "linker_private_weak"
| linker_private_weak_def_auto => text "linker_private_weak_def_auto"
| internal => text "internal"
| available_externally => text "available_externally"
| linkonce => text "linkonce"
| weak => text "weak"
| common => text "common"
| appending => text "appending"
| extern_weak => text "extern_weak"
| linkonce_odr => text "linkonce_odr"
| weak_odr => text "weak_odr"
| external => text "external"
| dll_import => text "dllimport"
| dll_export => text "dllexport"
instance : HasPP Linkage := ⟨Linkage.pp⟩
end Linkage
namespace Visibility
def pp : Visibility → Doc
| default => text "default"
| hidden => text "hidden"
| protected_visibility => text "protected"
instance : HasPP Visibility := ⟨Visibility.pp⟩
end Visibility
namespace GlobalAttrs
protected def pp (ga:GlobalAttrs) : Doc :=
pp_opt pp ga.linkage <+>
pp_opt pp ga.visibility <+>
(if ga.const then text "const" else text "global")
instance : HasPP GlobalAttrs := ⟨GlobalAttrs.pp⟩
end GlobalAttrs
namespace Global
def ppDoc (g:Global) : Doc :=
pp g.sym <+> text "=" <+>
pp g.attrs <+>
pp g.type <+>
pp_opt pp_value g.value <>
pp_align g.align
-- <> pp_attached_metadata g.metadata
instance : HasPP Global := ⟨ppDoc⟩
end Global
namespace GlobalAlias
def ppDoc (ga:GlobalAlias) : Doc :=
let tgtd := match ga.target with
| Value.symbol _ => pp ga.type <> text " "
| _ => empty;
pp ga.name <+> text "=" <+> tgtd <> pp ga.target
instance : HasPP GlobalAlias := ⟨ppDoc⟩
end GlobalAlias
namespace TypeDeclBody
def ppDoc : TypeDeclBody -> Doc
| opaque => text "opaque"
| defn tp => pp tp
instance : HasPP TypeDeclBody := ⟨TypeDeclBody.ppDoc⟩
end TypeDeclBody
namespace TypeDecl
def ppDoc (t:TypeDecl) := text "%" <> text t.name <+> text "= type" <+> pp t.decl
instance : HasPP TypeDecl := ⟨TypeDecl.ppDoc⟩
end TypeDecl
namespace GC
def ppDoc (x:GC) : Doc := pp_string_literal x.gc
instance : HasPP GC := ⟨ppDoc⟩
end GC
namespace Define
def ppDoc (d:Define) : Doc :=
text "define" <+>
pp_opt pp d.linkage <+>
pp d.retType <+>
pp d.name <>
pp_arg_list d.varArgs (pp <$> d.args.toList) <+>
hsep (pp <$> d.attrs.toList) <>
pp_opt (λs => text " section" <+> pp_string_literal s) d.sec <>
pp_opt (λg => text " gc" <+> pp g) d.gc <+>
-- pp_mds d.metadata <+>
vcat ([ text "{" ] ++ List.map pp d.body.toList ++ [ text "}" ])
instance : HasPP Define := ⟨ppDoc⟩
end Define
namespace Module
def ppDoc (m:Module) : Doc :=
pp_opt (λnm => text "source_filename = " <> pp_string_literal nm) m.sourceName $+$
text "target datalayout = " <> dquotes (pp_layout m.dataLayout) $+$
vcat (List.join
[ pp <$> m.types.toList
, pp <$> m.globals.toList
, pp <$> m.aliases.toList
, pp <$> m.declares.toList
, pp <$> m.defines.toList
-- , list.map pp_named_md m.named_md
-- , list.map pp_unnamed_md m.unnamed_md
-- , list.map pp_comdat m.comdat
])
instance : HasPP Module := ⟨ppDoc⟩
end Module
end LLVM
def ppLLVM {α} [LLVM.HasPP α] (a : α) : String := LLVM.Doc.render $ LLVM.HasPP.pp a
|
4612b2330070d22c3e850e986f27e893b51ce897 | 35677d2df3f081738fa6b08138e03ee36bc33cad | /src/ring_theory/euclidean_domain.lean | f955c2296d1c1e212add668c21d89cf1d7e538aa | [
"Apache-2.0"
] | permissive | gebner/mathlib | eab0150cc4f79ec45d2016a8c21750244a2e7ff0 | cc6a6edc397c55118df62831e23bfbd6e6c6b4ab | refs/heads/master | 1,625,574,853,976 | 1,586,712,827,000 | 1,586,712,827,000 | 99,101,412 | 1 | 0 | Apache-2.0 | 1,586,716,389,000 | 1,501,667,958,000 | Lean | UTF-8 | Lean | false | false | 1,905 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Chris Hughes
-/
import algebra.associated algebra.euclidean_domain ring_theory.ideals
noncomputable theory
open_locale classical
open euclidean_domain set ideal
theorem span_gcd {α} [euclidean_domain α] (x y : α) :
span ({gcd x y} : set α) = span ({x, y} : set α) :=
begin
apply le_antisymm; refine span_le.1 _,
{ simp [submodule.span_span, mem_span_pair, submodule.le_def', mem_span_singleton'],
assume a b ha,
exact ⟨b * gcd_a x y, b * gcd_b x y, by rw [← ha, gcd_eq_gcd_ab x y];
simp [mul_add, mul_comm, mul_left_comm]⟩ },
{ assume z ,
simp [mem_span_singleton, euclidean_domain.gcd_dvd_left, mem_span_pair,
@eq_comm _ _ z] {contextual := tt},
assume a b h,
exact dvd_add (dvd_mul_of_dvd_right (gcd_dvd_left _ _) _)
(dvd_mul_of_dvd_right (gcd_dvd_right _ _) _) }
end
theorem gcd_is_unit_iff {α} [euclidean_domain α] {x y : α} :
is_unit (gcd x y) ↔ is_coprime x y :=
by rw [← span_singleton_eq_top, span_gcd, is_coprime]
theorem is_coprime_of_dvd {α} [euclidean_domain α] {x y : α}
(z : ¬ (x = 0 ∧ y = 0)) (H : ∀ z ∈ nonunits α, z ≠ 0 → z ∣ x → ¬ z ∣ y) :
is_coprime x y :=
begin
rw [← gcd_is_unit_iff],
by_contra h,
refine H _ h _ (gcd_dvd_left _ _) (gcd_dvd_right _ _),
rwa [ne, euclidean_domain.gcd_eq_zero_iff]
end
theorem dvd_or_coprime {α} [euclidean_domain α] (x y : α)
(h : irreducible x) : x ∣ y ∨ is_coprime x y :=
begin
refine or_iff_not_imp_left.2 (λ h', _),
unfreezeI, apply is_coprime_of_dvd,
{ rintro ⟨rfl, rfl⟩, simpa using h },
{ rintro z nu nz ⟨w, rfl⟩ dy,
refine h' (dvd.trans _ dy),
simpa using mul_dvd_mul_left z (is_unit_iff_dvd_one.1 $
(of_irreducible_mul h).resolve_left nu) }
end
|
bc9cabf8a568b7f329b7a96f208aa59087d30d8c | f3ab5c6b849dd89e43f1fe3572fbed3fc1baaf0f | /lean/invertible.lean | eb60ab694ce3fc2f463aa5983aa0205ca62b2313 | [
"Apache-2.0",
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | ekmett/coda | 69fa7ac66924ea2cee12f7005b192c22baf9e03e | 3309ea70c31b58a3915b0ecc9140985c3a1ac565 | refs/heads/master | 1,670,616,044,398 | 1,619,020,702,000 | 1,619,020,702,000 | 100,850,826 | 170 | 15 | NOASSERTION | 1,670,434,088,000 | 1,503,220,814,000 | Haskell | UTF-8 | Lean | false | false | 3,618 | lean | open function
open sigma
section bijections
universes u₁ u₂
variables {α : Type u₁} {β : Type u₂}
-- promote some existing propositions to classes
attribute [class] injective
attribute [class] surjective
attribute [class] bijective
attribute [class] has_left_inverse
attribute [class] has_right_inverse
instance mk_bijective {f: α → β} [fi : injective f] [fs: surjective f]: bijective f
:= (| fi, fs |)
instance bijective_injective {f: α → β} [bf: bijective f]: injective f := bf.1
instance bijective_surjective {f: α → β} [bf: bijective f]: surjective f := bf.2
instance has_left_inverse_injective {f : α → β} [h : has_left_inverse f]: injective f :=
injective_of_has_left_inverse h
instance has_right_inverse_surjective {f : α → β} [h : has_right_inverse f]: surjective f :=
surjective_of_has_right_inverse h
end bijections
structure {u₁ u₂} invertible {α : Type u₁} {β : Type u₂} (f : α → β) :=
(invf : β → α)
(invinj : injective invf)
(linv : left_inverse invf f)
attribute [class] invertible
section inverses
-- computable inverses
-- end goal: uniqueness of inverses
universes u₁ u₂
variables {α : Type u₁} {β : Type u₂}
def inverse (f : α → β) [iF : invertible f]: β → α := invertible.invf iF
def invertible_left_inverse (f : α → β) [iF : invertible f]: left_inverse (inverse f) f :=
invertible.linv iF
def invertible_right_inverse (f : α → β) [iF : invertible f]: right_inverse (inverse f) f :=
right_inverse_of_injective_of_left_inverse (invertible.invinj iF) (invertible.linv iF)
def invertible_has_right_inverse (f : α → β) [iF : invertible f]: has_right_inverse f :=
exists.intro (invertible.invf iF) (invertible_right_inverse f)
def invertible_has_left_inverse (f : α → β) [iF : invertible f]: has_left_inverse f :=
exists.intro (invertible.invf iF) (invertible.linv iF)
instance invertible_injective_inverse {f : α → β} [iF : invertible f]: injective (inverse f) :=
invertible.invinj iF
instance invertible_surjective {f : α → β} [iF : invertible f]: surjective f :=
begin
destruct (invertible_has_right_inverse f),
intros g fg b,
apply exists.intro,
exact (fg b)
end
instance invertible_injective {f: α → β} [iF : invertible f]: injective f :=
injective_of_has_left_inverse (invertible_has_left_inverse f)
instance invertible_surjective_inverse {f : α → β} [iF : invertible f]: surjective (inverse f) :=
begin
intro a,
apply exists.intro,
exact (invertible.linv iF a),
end
instance invertible_inverse {f : α → β} [iF : invertible f]: invertible (inverse f) :=
invertible.mk f invertible_injective (invertible_right_inverse f)
instance invertible_bijective (f : α → β) [iF : invertible f]: bijective f :=
(| invertible_injective, invertible_surjective |)
instance invertible_bijective_inverse (f : α → β) [iF : invertible f]: bijective (inverse f) :=
(| invertible_injective_inverse, invertible_surjective_inverse |)
-- def invertible_is_unique {f : α → β} (p q: invertible f) : p = q -- up to funext/propext
end inverses
def {u1 u2 u3} lhs {α : Sort u1} { β : Sort u2 } {γ : Sort u3} (f g : β → α) (h : γ -> β) (fg : f = g) : f ∘ h = g ∘ h :=
eq.subst fg (@eq.refl (γ → α) (f ∘ h))
def {u1 u2 u3} rhs {α : Sort u1} { β : Sort u2 } {γ : Sort u3} (f : β → α) (g h : γ -> β) (gh : g = h) : f ∘ g = f ∘ h :=
eq.subst gh (@eq.refl (γ → α) (f ∘ g))
|
eaa5c6b1e9d5839b7c0cd09a7c8ebdd3bbbfff3b | 82e44445c70db0f03e30d7be725775f122d72f3e | /src/analysis/ODE/gronwall.lean | 43368b96ed0995789ae12d29add34eeb2cc92822 | [
"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 | 13,193 | 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.special_functions.exp_log
/-!
# Grönwall's inequality
The main technical result of this file is the Grönwall-like inequality
`norm_le_gronwall_bound_of_norm_deriv_right_le`. It states that if `f : ℝ → E` satisfies `∥f a∥ ≤ δ`
and `∀ x ∈ [a, b), ∥f' x∥ ≤ K * ∥f x∥ + ε`, then for all `x ∈ [a, b]` we have `∥f x∥ ≤ δ * exp (K *
x) + (ε / K) * (exp (K * x) - 1)`.
Then we use this inequality to prove some estimates on the possible rate of growth of the distance
between two approximate or exact solutions of an ordinary differential equation.
The proofs are based on [Hubbard and West, *Differential Equations: A Dynamical Systems Approach*,
Sec. 4.5][HubbardWest-ode], where `norm_le_gronwall_bound_of_norm_deriv_right_le` is called
“Fundamental Inequality”.
## TODO
- Once we have FTC, prove an inequality for a function satisfying `∥f' x∥ ≤ K x * ∥f x∥ + ε`,
or more generally `liminf_{y→x+0} (f y - f x)/(y - x) ≤ K x * f x + ε` with any sign
of `K x` and `f x`.
-/
variables {E : Type*} [normed_group E] [normed_space ℝ E]
{F : Type*} [normed_group F] [normed_space ℝ F]
open metric set asymptotics filter real
open_locale classical topological_space nnreal
/-! ### Technical lemmas about `gronwall_bound` -/
/-- Upper bound used in several Grönwall-like inequalities. -/
noncomputable def gronwall_bound (δ K ε x : ℝ) : ℝ :=
if K = 0 then δ + ε * x else δ * exp (K * x) + (ε / K) * (exp (K * x) - 1)
lemma gronwall_bound_K0 (δ ε : ℝ) : gronwall_bound δ 0 ε = λ x, δ + ε * x :=
funext $ λ x, if_pos rfl
lemma gronwall_bound_of_K_ne_0 {δ K ε : ℝ} (hK : K ≠ 0) :
gronwall_bound δ K ε = λ x, δ * exp (K * x) + (ε / K) * (exp (K * x) - 1) :=
funext $ λ x, if_neg hK
lemma has_deriv_at_gronwall_bound (δ K ε x : ℝ) :
has_deriv_at (gronwall_bound δ K ε) (K * (gronwall_bound δ K ε x) + ε) x :=
begin
by_cases hK : K = 0,
{ subst K,
simp only [gronwall_bound_K0, zero_mul, zero_add],
convert ((has_deriv_at_id x).const_mul ε).const_add δ,
rw [mul_one] },
{ simp only [gronwall_bound_of_K_ne_0 hK],
convert (((has_deriv_at_id x).const_mul K).exp.const_mul δ).add
((((has_deriv_at_id x).const_mul K).exp.sub_const 1).const_mul (ε / K)) using 1,
simp only [id, mul_add, (mul_assoc _ _ _).symm, mul_comm _ K, mul_div_cancel' _ hK],
ring }
end
lemma has_deriv_at_gronwall_bound_shift (δ K ε x a : ℝ) :
has_deriv_at (λ y, gronwall_bound δ K ε (y - a)) (K * (gronwall_bound δ K ε (x - a)) + ε) x :=
begin
convert (has_deriv_at_gronwall_bound δ K ε _).comp x ((has_deriv_at_id x).sub_const a),
rw [id, mul_one]
end
lemma gronwall_bound_x0 (δ K ε : ℝ) : gronwall_bound δ K ε 0 = δ :=
begin
by_cases hK : K = 0,
{ simp only [gronwall_bound, if_pos hK, mul_zero, add_zero] },
{ simp only [gronwall_bound, if_neg hK, mul_zero, exp_zero, sub_self, mul_one, add_zero] }
end
lemma gronwall_bound_ε0 (δ K x : ℝ) : gronwall_bound δ K 0 x = δ * exp (K * x) :=
begin
by_cases hK : K = 0,
{ simp only [gronwall_bound_K0, hK, zero_mul, exp_zero, add_zero, mul_one] },
{ simp only [gronwall_bound_of_K_ne_0 hK, zero_div, zero_mul, add_zero] }
end
lemma gronwall_bound_ε0_δ0 (K x : ℝ) : gronwall_bound 0 K 0 x = 0 :=
by simp only [gronwall_bound_ε0, zero_mul]
lemma gronwall_bound_continuous_ε (δ K x : ℝ) : continuous (λ ε, gronwall_bound δ K ε x) :=
begin
by_cases hK : K = 0,
{ simp only [gronwall_bound_K0, hK],
exact continuous_const.add (continuous_id.mul continuous_const) },
{ simp only [gronwall_bound_of_K_ne_0 hK],
exact continuous_const.add ((continuous_id.mul continuous_const).mul continuous_const) }
end
/-! ### Inequality and corollaries -/
/-- A Grönwall-like inequality: if `f : ℝ → ℝ` is continuous on `[a, b]` and satisfies
the inequalities `f a ≤ δ` and
`∀ x ∈ [a, b), liminf_{z→x+0} (f z - f x)/(z - x) ≤ K * (f x) + ε`, then `f x`
is bounded by `gronwall_bound δ K ε (x - a)` on `[a, b]`.
See also `norm_le_gronwall_bound_of_norm_deriv_right_le` for a version bounding `∥f x∥`,
`f : ℝ → E`. -/
theorem le_gronwall_bound_of_liminf_deriv_right_le {f f' : ℝ → ℝ} {δ K ε : ℝ} {a b : ℝ}
(hf : continuous_on f (Icc a b))
(hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r →
∃ᶠ z in 𝓝[Ioi x] x, (z - x)⁻¹ * (f z - f x) < r)
(ha : f a ≤ δ) (bound : ∀ x ∈ Ico a b, f' x ≤ K * f x + ε) :
∀ x ∈ Icc a b, f x ≤ gronwall_bound δ K ε (x - a) :=
begin
have H : ∀ x ∈ Icc a b, ∀ ε' ∈ Ioi ε, f x ≤ gronwall_bound δ K ε' (x - a),
{ assume x hx ε' hε',
apply image_le_of_liminf_slope_right_lt_deriv_boundary hf hf',
{ rwa [sub_self, gronwall_bound_x0] },
{ exact λ x, has_deriv_at_gronwall_bound_shift δ K ε' x a },
{ assume x hx hfB,
rw [← hfB],
apply lt_of_le_of_lt (bound x hx),
exact add_lt_add_left hε' _ },
{ exact hx } },
assume x hx,
change f x ≤ (λ ε', gronwall_bound δ K ε' (x - a)) ε,
convert continuous_within_at_const.closure_le _ _ (H x hx),
{ simp only [closure_Ioi, left_mem_Ici] },
exact (gronwall_bound_continuous_ε δ K (x - a)).continuous_within_at
end
/-- A Grönwall-like inequality: if `f : ℝ → E` is continuous on `[a, b]`, has right derivative
`f' x` at every point `x ∈ [a, b)`, and satisfies the inequalities `∥f a∥ ≤ δ`,
`∀ x ∈ [a, b), ∥f' x∥ ≤ K * ∥f x∥ + ε`, then `∥f x∥` is bounded by `gronwall_bound δ K ε (x - a)`
on `[a, b]`. -/
theorem norm_le_gronwall_bound_of_norm_deriv_right_le {f f' : ℝ → E} {δ K ε : ℝ} {a b : ℝ}
(hf : continuous_on f (Icc a b)) (hf' : ∀ x ∈ Ico a b, has_deriv_within_at f (f' x) (Ici x) x)
(ha : ∥f a∥ ≤ δ) (bound : ∀ x ∈ Ico a b, ∥f' x∥ ≤ K * ∥f x∥ + ε) :
∀ x ∈ Icc a b, ∥f x∥ ≤ gronwall_bound δ K ε (x - a) :=
le_gronwall_bound_of_liminf_deriv_right_le (continuous_norm.comp_continuous_on hf)
(λ x hx r hr, (hf' x hx).liminf_right_slope_norm_le hr) ha bound
/-- If `f` and `g` are two approximate solutions of the same ODE, then the distance between them
can't grow faster than exponentially. This is a simple corollary of Grönwall's inequality, and some
people call this Grönwall's inequality too.
This version assumes all inequalities to be true in some time-dependent set `s t`,
and assumes that the solutions never leave this set. -/
theorem dist_le_of_approx_trajectories_ODE_of_mem_set {v : ℝ → E → E} {s : ℝ → set E}
{K : ℝ} (hv : ∀ t, ∀ x y ∈ s t, dist (v t x) (v t y) ≤ K * dist x y)
{f g f' g' : ℝ → E} {a b : ℝ} {εf εg δ : ℝ}
(hf : continuous_on f (Icc a b))
(hf' : ∀ t ∈ Ico a b, has_deriv_within_at f (f' t) (Ici t) t)
(f_bound : ∀ t ∈ Ico a b, dist (f' t) (v t (f t)) ≤ εf)
(hfs : ∀ t ∈ Ico a b, f t ∈ s t)
(hg : continuous_on g (Icc a b))
(hg' : ∀ t ∈ Ico a b, has_deriv_within_at g (g' t) (Ici t) t)
(g_bound : ∀ t ∈ Ico a b, dist (g' t) (v t (g t)) ≤ εg)
(hgs : ∀ t ∈ Ico a b, g t ∈ s t)
(ha : dist (f a) (g a) ≤ δ) :
∀ t ∈ Icc a b, dist (f t) (g t) ≤ gronwall_bound δ K (εf + εg) (t - a) :=
begin
simp only [dist_eq_norm] at ha ⊢,
have h_deriv : ∀ t ∈ Ico a b, has_deriv_within_at (λ t, f t - g t) (f' t - g' t) (Ici t) t,
from λ t ht, (hf' t ht).sub (hg' t ht),
apply norm_le_gronwall_bound_of_norm_deriv_right_le (hf.sub hg) h_deriv ha,
assume t ht,
have := dist_triangle4_right (f' t) (g' t) (v t (f t)) (v t (g t)),
rw [dist_eq_norm] at this,
apply le_trans this,
apply le_trans (add_le_add (add_le_add (f_bound t ht) (g_bound t ht))
(hv t (f t) (g t) (hfs t ht) (hgs t ht))),
rw [dist_eq_norm, add_comm]
end
/-- If `f` and `g` are two approximate solutions of the same ODE, then the distance between them
can't grow faster than exponentially. This is a simple corollary of Grönwall's inequality, and some
people call this Grönwall's inequality too.
This version assumes all inequalities to be true in the whole space. -/
theorem dist_le_of_approx_trajectories_ODE {v : ℝ → E → E}
{K : ℝ≥0} (hv : ∀ t, lipschitz_with K (v t))
{f g f' g' : ℝ → E} {a b : ℝ} {εf εg δ : ℝ}
(hf : continuous_on f (Icc a b))
(hf' : ∀ t ∈ Ico a b, has_deriv_within_at f (f' t) (Ici t) t)
(f_bound : ∀ t ∈ Ico a b, dist (f' t) (v t (f t)) ≤ εf)
(hg : continuous_on g (Icc a b))
(hg' : ∀ t ∈ Ico a b, has_deriv_within_at g (g' t) (Ici t) t)
(g_bound : ∀ t ∈ Ico a b, dist (g' t) (v t (g t)) ≤ εg)
(ha : dist (f a) (g a) ≤ δ) :
∀ t ∈ Icc a b, dist (f t) (g t) ≤ gronwall_bound δ K (εf + εg) (t - a) :=
have hfs : ∀ t ∈ Ico a b, f t ∈ (@univ E), from λ t ht, trivial,
dist_le_of_approx_trajectories_ODE_of_mem_set (λ t x y hx hy, (hv t).dist_le_mul x y)
hf hf' f_bound hfs hg hg' g_bound (λ t ht, trivial) ha
/-- If `f` and `g` are two exact solutions of the same ODE, then the distance between them
can't grow faster than exponentially. This is a simple corollary of Grönwall's inequality, and some
people call this Grönwall's inequality too.
This version assumes all inequalities to be true in some time-dependent set `s t`,
and assumes that the solutions never leave this set. -/
theorem dist_le_of_trajectories_ODE_of_mem_set {v : ℝ → E → E} {s : ℝ → set E}
{K : ℝ} (hv : ∀ t, ∀ x y ∈ s t, dist (v t x) (v t y) ≤ K * dist x y)
{f g : ℝ → E} {a b : ℝ} {δ : ℝ}
(hf : continuous_on f (Icc a b))
(hf' : ∀ t ∈ Ico a b, has_deriv_within_at f (v t (f t)) (Ici t) t)
(hfs : ∀ t ∈ Ico a b, f t ∈ s t)
(hg : continuous_on g (Icc a b))
(hg' : ∀ t ∈ Ico a b, has_deriv_within_at g (v t (g t)) (Ici t) t)
(hgs : ∀ t ∈ Ico a b, g t ∈ s t)
(ha : dist (f a) (g a) ≤ δ) :
∀ t ∈ Icc a b, dist (f t) (g t) ≤ δ * exp (K * (t - a)) :=
begin
have f_bound : ∀ t ∈ Ico a b, dist (v t (f t)) (v t (f t)) ≤ 0,
by { intros, rw [dist_self] },
have g_bound : ∀ t ∈ Ico a b, dist (v t (g t)) (v t (g t)) ≤ 0,
by { intros, rw [dist_self] },
assume t ht,
have := dist_le_of_approx_trajectories_ODE_of_mem_set hv hf hf' f_bound hfs hg hg' g_bound
hgs ha t ht,
rwa [zero_add, gronwall_bound_ε0] at this,
end
/-- If `f` and `g` are two exact solutions of the same ODE, then the distance between them
can't grow faster than exponentially. This is a simple corollary of Grönwall's inequality, and some
people call this Grönwall's inequality too.
This version assumes all inequalities to be true in the whole space. -/
theorem dist_le_of_trajectories_ODE {v : ℝ → E → E}
{K : ℝ≥0} (hv : ∀ t, lipschitz_with K (v t))
{f g : ℝ → E} {a b : ℝ} {δ : ℝ}
(hf : continuous_on f (Icc a b))
(hf' : ∀ t ∈ Ico a b, has_deriv_within_at f (v t (f t)) (Ici t) t)
(hg : continuous_on g (Icc a b))
(hg' : ∀ t ∈ Ico a b, has_deriv_within_at g (v t (g t)) (Ici t) t)
(ha : dist (f a) (g a) ≤ δ) :
∀ t ∈ Icc a b, dist (f t) (g t) ≤ δ * exp (K * (t - a)) :=
have hfs : ∀ t ∈ Ico a b, f t ∈ (@univ E), from λ t ht, trivial,
dist_le_of_trajectories_ODE_of_mem_set (λ t x y hx hy, (hv t).dist_le_mul x y)
hf hf' hfs hg hg' (λ t ht, trivial) ha
/-- There exists only one solution of an ODE \(\dot x=v(t, x)\) in a set `s ⊆ ℝ × E` with
a given initial value provided that RHS is Lipschitz continuous in `x` within `s`,
and we consider only solutions included in `s`. -/
theorem ODE_solution_unique_of_mem_set {v : ℝ → E → E} {s : ℝ → set E}
{K : ℝ} (hv : ∀ t, ∀ x y ∈ s t, dist (v t x) (v t y) ≤ K * dist x y)
{f g : ℝ → E} {a b : ℝ}
(hf : continuous_on f (Icc a b))
(hf' : ∀ t ∈ Ico a b, has_deriv_within_at f (v t (f t)) (Ici t) t)
(hfs : ∀ t ∈ Ico a b, f t ∈ s t)
(hg : continuous_on g (Icc a b))
(hg' : ∀ t ∈ Ico a b, has_deriv_within_at g (v t (g t)) (Ici t) t)
(hgs : ∀ t ∈ Ico a b, g t ∈ s t)
(ha : f a = g a) :
∀ t ∈ Icc a b, f t = g t :=
begin
assume t ht,
have := dist_le_of_trajectories_ODE_of_mem_set hv hf hf' hfs hg hg' hgs
(dist_le_zero.2 ha) t ht,
rwa [zero_mul, dist_le_zero] at this
end
/-- There exists only one solution of an ODE \(\dot x=v(t, x)\) with
a given initial value provided that RHS is Lipschitz continuous in `x`. -/
theorem ODE_solution_unique {v : ℝ → E → E}
{K : ℝ≥0} (hv : ∀ t, lipschitz_with K (v t))
{f g : ℝ → E} {a b : ℝ}
(hf : continuous_on f (Icc a b))
(hf' : ∀ t ∈ Ico a b, has_deriv_within_at f (v t (f t)) (Ici t) t)
(hg : continuous_on g (Icc a b))
(hg' : ∀ t ∈ Ico a b, has_deriv_within_at g (v t (g t)) (Ici t) t)
(ha : f a = g a) :
∀ t ∈ Icc a b, f t = g t :=
have hfs : ∀ t ∈ Ico a b, f t ∈ (@univ E), from λ t ht, trivial,
ODE_solution_unique_of_mem_set (λ t x y hx hy, (hv t).dist_le_mul x y)
hf hf' hfs hg hg' (λ t ht, trivial) ha
|
050b4343c9794744c01cc855cdbbd70d3c90c386 | 63abd62053d479eae5abf4951554e1064a4c45b4 | /src/data/equiv/ring.lean | 8c352ae4cabf3c675ab2e42bc881766fd877053e | [
"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 | 12,379 | lean | /-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Callum Sutton, Yury Kudryashov
-/
import data.equiv.mul_add
import algebra.field
import algebra.opposites
/-!
# (Semi)ring equivs
In this file we define extension of `equiv` called `ring_equiv`, which is a datatype representing an
isomorphism of `semiring`s, `ring`s, `division_ring`s, or `field`s. We also introduce the
corresponding group of automorphisms `ring_aut`.
## Notations
The extended equiv have coercions to functions, and the coercion is the canonical notation when
treating the isomorphism as maps.
## Implementation notes
The fields for `ring_equiv` now avoid the unbundled `is_mul_hom` and `is_add_hom`, as these are
deprecated.
Definition of multiplication in the groups of automorphisms agrees with function composition,
multiplication in `equiv.perm`, and multiplication in `category_theory.End`, not with
`category_theory.comp`.
## Tags
equiv, mul_equiv, add_equiv, ring_equiv, mul_aut, add_aut, ring_aut
-/
variables {R : Type*} {S : Type*} {S' : Type*}
set_option old_structure_cmd true
/-- An equivalence between two (semi)rings that preserves the algebraic structure. -/
structure ring_equiv (R S : Type*) [has_mul R] [has_add R] [has_mul S] [has_add S]
extends R ≃ S, R ≃* S, R ≃+ S
infix ` ≃+* `:25 := ring_equiv
/-- The "plain" equivalence of types underlying an equivalence of (semi)rings. -/
add_decl_doc ring_equiv.to_equiv
/-- The equivalence of additive monoids underlying an equivalence of (semi)rings. -/
add_decl_doc ring_equiv.to_add_equiv
/-- The equivalence of multiplicative monoids underlying an equivalence of (semi)rings. -/
add_decl_doc ring_equiv.to_mul_equiv
namespace ring_equiv
section basic
variables [has_mul R] [has_add R] [has_mul S] [has_add S] [has_mul S'] [has_add S']
instance : has_coe_to_fun (R ≃+* S) := ⟨_, ring_equiv.to_fun⟩
@[simp] lemma to_fun_eq_coe_fun (f : R ≃+* S) : f.to_fun = f := rfl
/-- Two ring isomorphisms agree if they are defined by the
same underlying function. -/
@[ext] lemma ext {f g : R ≃+* S} (h : ∀ x, f x = g x) : f = g :=
begin
have h₁ : f.to_equiv = g.to_equiv := equiv.ext h,
cases f, cases g, congr,
{ exact (funext h) },
{ exact congr_arg equiv.inv_fun h₁ }
end
instance has_coe_to_mul_equiv : has_coe (R ≃+* S) (R ≃* S) := ⟨ring_equiv.to_mul_equiv⟩
instance has_coe_to_add_equiv : has_coe (R ≃+* S) (R ≃+ S) := ⟨ring_equiv.to_add_equiv⟩
@[norm_cast] lemma coe_mul_equiv (f : R ≃+* S) (a : R) :
(f : R ≃* S) a = f a := rfl
@[norm_cast] lemma coe_add_equiv (f : R ≃+* S) (a : R) :
(f : R ≃+ S) a = f a := rfl
variable (R)
/-- The identity map is a ring isomorphism. -/
@[refl] protected def refl : R ≃+* R := { .. mul_equiv.refl R, .. add_equiv.refl R }
@[simp] lemma refl_apply (x : R) : ring_equiv.refl R x = x := rfl
@[simp] lemma coe_add_equiv_refl : (ring_equiv.refl R : R ≃+ R) = add_equiv.refl R := rfl
@[simp] lemma coe_mul_equiv_refl : (ring_equiv.refl R : R ≃* R) = mul_equiv.refl R := rfl
instance : inhabited (R ≃+* R) := ⟨ring_equiv.refl R⟩
variables {R}
/-- The inverse of a ring isomorphism is a ring isomorphism. -/
@[symm] protected def symm (e : R ≃+* S) : S ≃+* R :=
{ .. e.to_mul_equiv.symm, .. e.to_add_equiv.symm }
/-- See Note [custom simps projection] -/
def simps.inv_fun (e : R ≃+* S) : S → R := e.symm
initialize_simps_projections ring_equiv (to_fun → apply, inv_fun → symm_apply)
/-- Transitivity of `ring_equiv`. -/
@[trans] protected def trans (e₁ : R ≃+* S) (e₂ : S ≃+* S') : R ≃+* S' :=
{ .. (e₁.to_mul_equiv.trans e₂.to_mul_equiv), .. (e₁.to_add_equiv.trans e₂.to_add_equiv) }
@[simp] lemma trans_apply {A B C : Type*}
[semiring A] [semiring B] [semiring C] (e : A ≃+* B) (f : B ≃+* C) (a : A) :
e.trans f a = f (e a) := rfl
protected lemma bijective (e : R ≃+* S) : function.bijective e := e.to_equiv.bijective
protected lemma injective (e : R ≃+* S) : function.injective e := e.to_equiv.injective
protected lemma surjective (e : R ≃+* S) : function.surjective e := e.to_equiv.surjective
@[simp] lemma apply_symm_apply (e : R ≃+* S) : ∀ x, e (e.symm x) = x := e.to_equiv.apply_symm_apply
@[simp] lemma symm_apply_apply (e : R ≃+* S) : ∀ x, e.symm (e x) = x := e.to_equiv.symm_apply_apply
lemma image_eq_preimage (e : R ≃+* S) (s : set R) : e '' s = e.symm ⁻¹' s :=
e.to_equiv.image_eq_preimage s
end basic
section comm_semiring
open opposite
variables (R) [comm_semiring R]
/-- A commutative ring is isomorphic to its opposite. -/
def to_opposite : R ≃+* Rᵒᵖ :=
{ map_add' := λ x y, rfl,
map_mul' := λ x y, mul_comm (op y) (op x),
..equiv_to_opposite }
@[simp]
lemma to_opposite_apply (r : R) : to_opposite R r = op r := rfl
@[simp]
lemma to_opposite_symm_apply (r : Rᵒᵖ) : (to_opposite R).symm r = unop r := rfl
end comm_semiring
section semiring
variables [semiring R] [semiring S] (f : R ≃+* S) (x y : R)
/-- A ring isomorphism preserves multiplication. -/
@[simp] lemma map_mul : f (x * y) = f x * f y := f.map_mul' x y
/-- A ring isomorphism sends one to one. -/
@[simp] lemma map_one : f 1 = 1 := (f : R ≃* S).map_one
/-- A ring isomorphism preserves addition. -/
@[simp] lemma map_add : f (x + y) = f x + f y := f.map_add' x y
/-- A ring isomorphism sends zero to zero. -/
@[simp] lemma map_zero : f 0 = 0 := (f : R ≃+ S).map_zero
variable {x}
@[simp] lemma map_eq_one_iff : f x = 1 ↔ x = 1 := (f : R ≃* S).map_eq_one_iff
@[simp] lemma map_eq_zero_iff : f x = 0 ↔ x = 0 := (f : R ≃+ S).map_eq_zero_iff
lemma map_ne_one_iff : f x ≠ 1 ↔ x ≠ 1 := (f : R ≃* S).map_ne_one_iff
lemma map_ne_zero_iff : f x ≠ 0 ↔ x ≠ 0 := (f : R ≃+ S).map_ne_zero_iff
/-- Produce a ring isomorphism from a bijective ring homomorphism. -/
noncomputable def of_bijective (f : R →+* S) (hf : function.bijective f) : R ≃+* S :=
{ .. equiv.of_bijective f hf, .. f }
end semiring
section
variables [ring R] [ring S] (f : R ≃+* S) (x y : R)
@[simp] lemma map_neg : f (-x) = -f x := (f : R ≃+ S).map_neg x
@[simp] lemma map_sub : f (x - y) = f x - f y := (f : R ≃+ S).map_sub x y
@[simp] lemma map_neg_one : f (-1) = -1 := f.map_one ▸ f.map_neg 1
end
section semiring_hom
variables [semiring R] [semiring S] [semiring S']
/-- Reinterpret a ring equivalence as a ring homomorphism. -/
def to_ring_hom (e : R ≃+* S) : R →+* S :=
{ .. e.to_mul_equiv.to_monoid_hom, .. e.to_add_equiv.to_add_monoid_hom }
lemma to_ring_hom_injective : function.injective (to_ring_hom : (R ≃+* S) → R →+* S) :=
λ f g h, ring_equiv.ext (ring_hom.ext_iff.1 h)
instance has_coe_to_ring_hom : has_coe (R ≃+* S) (R →+* S) := ⟨ring_equiv.to_ring_hom⟩
@[norm_cast] lemma coe_ring_hom (f : R ≃+* S) (a : R) :
(f : R →+* S) a = f a := rfl
lemma coe_ring_hom_inj_iff {R S : Type*} [semiring R] [semiring S] (f g : R ≃+* S) :
f = g ↔ (f : R →+* S) = g :=
⟨congr_arg _, λ h, ext $ ring_hom.ext_iff.mp h⟩
/-- Reinterpret a ring equivalence as a monoid homomorphism. -/
abbreviation to_monoid_hom (e : R ≃+* S) : R →* S := e.to_ring_hom.to_monoid_hom
/-- Reinterpret a ring equivalence as an `add_monoid` homomorphism. -/
abbreviation to_add_monoid_hom (e : R ≃+* S) : R →+ S := e.to_ring_hom.to_add_monoid_hom
@[simp]
lemma to_ring_hom_refl : (ring_equiv.refl R).to_ring_hom = ring_hom.id R := rfl
@[simp]
lemma to_monoid_hom_refl : (ring_equiv.refl R).to_monoid_hom = monoid_hom.id R := rfl
@[simp]
lemma to_add_monoid_hom_refl : (ring_equiv.refl R).to_add_monoid_hom = add_monoid_hom.id R := rfl
@[simp]
lemma to_ring_hom_apply_symm_to_ring_hom_apply (e : R ≃+* S) :
∀ (y : S), e.to_ring_hom (e.symm.to_ring_hom y) = y :=
e.to_equiv.apply_symm_apply
@[simp]
lemma symm_to_ring_hom_apply_to_ring_hom_apply (e : R ≃+* S) :
∀ (x : R), e.symm.to_ring_hom (e.to_ring_hom x) = x :=
equiv.symm_apply_apply (e.to_equiv)
@[simp]
lemma to_ring_hom_trans (e₁ : R ≃+* S) (e₂ : S ≃+* S') :
(e₁.trans e₂).to_ring_hom = e₂.to_ring_hom.comp e₁.to_ring_hom := rfl
/--
Construct an equivalence of rings from homomorphisms in both directions, which are inverses.
-/
def of_hom_inv (hom : R →+* S) (inv : S →+* R)
(hom_inv_id : inv.comp hom = ring_hom.id R) (inv_hom_id : hom.comp inv = ring_hom.id S) :
R ≃+* S :=
{ inv_fun := inv,
left_inv := λ x, ring_hom.congr_fun hom_inv_id x,
right_inv := λ x, ring_hom.congr_fun inv_hom_id x,
..hom }
@[simp]
lemma of_hom_inv_apply (hom : R →+* S) (inv : S →+* R) (hom_inv_id inv_hom_id) (r : R) :
(of_hom_inv hom inv hom_inv_id inv_hom_id) r = hom r := rfl
@[simp]
lemma of_hom_inv_symm_apply (hom : R →+* S) (inv : S →+* R) (hom_inv_id inv_hom_id) (s : S) :
(of_hom_inv hom inv hom_inv_id inv_hom_id).symm s = inv s := rfl
end semiring_hom
end ring_equiv
namespace mul_equiv
/-- Gives a `ring_equiv` from a `mul_equiv` preserving addition.-/
def to_ring_equiv {R : Type*} {S : Type*} [has_add R] [has_add S] [has_mul R] [has_mul S]
(h : R ≃* S) (H : ∀ x y : R, h (x + y) = h x + h y) : R ≃+* S :=
{..h.to_equiv, ..h, ..add_equiv.mk' h.to_equiv H }
end mul_equiv
namespace ring_equiv
variables [has_add R] [has_add S] [has_mul R] [has_mul S]
@[simp] theorem trans_symm (e : R ≃+* S) : e.trans e.symm = ring_equiv.refl R := ext e.3
@[simp] theorem symm_trans (e : R ≃+* S) : e.symm.trans e = ring_equiv.refl S := ext e.4
/-- If two rings are isomorphic, and the second is an integral domain, then so is the first. -/
protected lemma is_integral_domain {A : Type*} (B : Type*) [ring A] [ring B]
(hB : is_integral_domain B) (e : A ≃+* B) : is_integral_domain A :=
{ mul_comm := λ x y, have e.symm (e x * e y) = e.symm (e y * e x), by rw hB.mul_comm, by simpa,
eq_zero_or_eq_zero_of_mul_eq_zero := λ x y hxy,
have e x * e y = 0, by rw [← e.map_mul, hxy, e.map_zero],
(hB.eq_zero_or_eq_zero_of_mul_eq_zero _ _ this).imp (λ hx, by simpa using congr_arg e.symm hx)
(λ hy, by simpa using congr_arg e.symm hy),
exists_pair_ne := ⟨e.symm 0, e.symm 1,
by { haveI : nontrivial B := hB.to_nontrivial, exact e.symm.injective.ne zero_ne_one }⟩ }
/-- If two rings are isomorphic, and the second is an integral domain, then so is the first. -/
protected def integral_domain {A : Type*} (B : Type*) [ring A] [integral_domain B]
(e : A ≃+* B) : integral_domain A :=
{ .. (‹_› : ring A), .. e.is_integral_domain B (integral_domain.to_is_integral_domain B) }
end ring_equiv
/-- The group of ring automorphisms. -/
@[reducible] def ring_aut (R : Type*) [has_mul R] [has_add R] := ring_equiv R R
namespace ring_aut
variables (R) [has_mul R] [has_add R]
/--
The group operation on automorphisms of a ring is defined by
λ g h, ring_equiv.trans h g.
This means that multiplication agrees with composition, (g*h)(x) = g (h x) .
-/
instance : group (ring_aut R) :=
by refine_struct
{ mul := λ g h, ring_equiv.trans h g,
one := ring_equiv.refl R,
inv := ring_equiv.symm };
intros; ext; try { refl }; apply equiv.left_inv
instance : inhabited (ring_aut R) := ⟨1⟩
/-- Monoid homomorphism from ring automorphisms to additive automorphisms. -/
def to_add_aut : ring_aut R →* add_aut R :=
by refine_struct { to_fun := ring_equiv.to_add_equiv }; intros; refl
/-- Monoid homomorphism from ring automorphisms to multiplicative automorphisms. -/
def to_mul_aut : ring_aut R →* mul_aut R :=
by refine_struct { to_fun := ring_equiv.to_mul_equiv }; intros; refl
/-- Monoid homomorphism from ring automorphisms to permutations. -/
def to_perm : ring_aut R →* equiv.perm R :=
by refine_struct { to_fun := ring_equiv.to_equiv }; intros; refl
end ring_aut
namespace equiv
variables (K : Type*) [division_ring K]
/-- In a division ring `K`, the unit group `units K`
is equivalent to the subtype of nonzero elements. -/
-- TODO: this might already exist elsewhere for `group_with_zero`
-- deduplicate or generalize
def units_equiv_ne_zero : units K ≃ {a : K | a ≠ 0} :=
⟨λ a, ⟨a.1, a.ne_zero⟩, λ a, units.mk0 _ a.2, λ ⟨_, _, _, _⟩, units.ext rfl, λ ⟨_, _⟩, rfl⟩
variable {K}
@[simp]
lemma coe_units_equiv_ne_zero (a : units K) :
((units_equiv_ne_zero K a) : K) = a := rfl
end equiv
|
4cad54f62c2d19566689c4fd7199fcf941044516 | 37da0369b6c03e380e057bf680d81e6c9fdf9219 | /hott/types/nat/basic.hlean | 32f50878271e01fc1abfd552ba97854e042e5bb5 | [
"Apache-2.0"
] | permissive | kodyvajjha/lean2 | 72b120d95c3a1d77f54433fa90c9810e14a931a4 | 227fcad22ab2bc27bb7471be7911075d101ba3f9 | refs/heads/master | 1,627,157,512,295 | 1,501,855,676,000 | 1,504,809,427,000 | 109,317,326 | 0 | 0 | null | 1,509,839,253,000 | 1,509,655,713,000 | C++ | UTF-8 | Lean | false | false | 10,020 | hlean | /-
Copyright (c) 2014 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
(Ported from standard library)
Authors: Floris van Doorn, Leonardo de Moura, Jeremy Avigad
Basic operations on the natural numbers.
-/
import ..num algebra.ring
open prod binary eq algebra lift is_trunc
namespace nat
/- a variant of add, defined by recursion on the first argument -/
definition addl (x y : ℕ) : ℕ :=
nat.rec y (λ n r, succ r) x
infix ` ⊕ `:65 := addl
theorem addl_succ_right (n m : ℕ) : n ⊕ succ m = succ (n ⊕ m) :=
nat.rec_on n
rfl
(λ n₁ ih, calc
succ n₁ ⊕ succ m = succ (n₁ ⊕ succ m) : rfl
... = succ (succ (n₁ ⊕ m)) : ih
... = succ (succ n₁ ⊕ m) : rfl)
theorem add_eq_addl (x : ℕ) : Πy, x + y = x ⊕ y :=
nat.rec_on x
(λ y, nat.rec_on y
rfl
(λ y₁ ih, calc
0 + succ y₁ = succ (0 + y₁) : rfl
... = succ (0 ⊕ y₁) : {ih}
... = 0 ⊕ (succ y₁) : rfl))
(λ x₁ ih₁ y, nat.rec_on y
(calc
succ x₁ + 0 = succ (x₁ + 0) : rfl
... = succ (x₁ ⊕ 0) : {ih₁ 0}
... = succ x₁ ⊕ 0 : rfl)
(λ y₁ ih₂, calc
succ x₁ + succ y₁ = succ (succ x₁ + y₁) : rfl
... = succ (succ x₁ ⊕ y₁) : {ih₂}
... = succ x₁ ⊕ succ y₁ : addl_succ_right))
/- successor and predecessor -/
theorem succ_ne_zero (n : ℕ) : succ n ≠ 0 :=
by contradiction
-- add_rewrite succ_ne_zero
theorem pred_zero [simp] : pred 0 = 0 :=
rfl
theorem pred_succ [simp] (n : ℕ) : pred (succ n) = n :=
rfl
theorem eq_zero_sum_eq_succ_pred (n : ℕ) : n = 0 ⊎ n = succ (pred n) :=
nat.rec_on n
(sum.inl rfl)
(take m IH, sum.inr
(show succ m = succ (pred (succ m)), from ap succ !pred_succ⁻¹))
theorem exists_eq_succ_of_ne_zero {n : ℕ} (H : n ≠ 0) : Σk : ℕ, n = succ k :=
sigma.mk _ (sum_resolve_right !eq_zero_sum_eq_succ_pred H)
theorem succ.inj {n m : ℕ} (H : succ n = succ m) : n = m :=
down (nat.no_confusion H imp.id)
abbreviation eq_of_succ_eq_succ := @succ.inj
theorem succ_ne_self {n : ℕ} : succ n ≠ n :=
nat.rec_on n
(take H : 1 = 0,
have ne : 1 ≠ 0, from !succ_ne_zero,
absurd H ne)
(take k IH H, IH (succ.inj H))
theorem discriminate {B : Type} {n : ℕ} (H1: n = 0 → B) (H2 : Πm, n = succ m → B) : B :=
have H : n = n → B, from nat.cases_on n H1 H2,
H rfl
theorem two_step_rec_on {P : ℕ → Type} (a : ℕ) (H1 : P 0) (H2 : P 1)
(H3 : Π (n : ℕ) (IH1 : P n) (IH2 : P (succ n)), P (succ (succ n))) : P a :=
have stronger : P a × P (succ a), from
nat.rec_on a
(pair H1 H2)
(take k IH,
have IH1 : P k, from prod.pr1 IH,
have IH2 : P (succ k), from prod.pr2 IH,
pair IH2 (H3 k IH1 IH2)),
prod.pr1 stronger
theorem sub_induction {P : ℕ → ℕ → Type} (n m : ℕ) (H1 : Πm, P 0 m)
(H2 : Πn, P (succ n) 0) (H3 : Πn m, P n m → P (succ n) (succ m)) : P n m :=
have general : Πm, P n m, from nat.rec_on n H1
(take k : ℕ,
assume IH : Πm, P k m,
take m : ℕ,
nat.cases_on m (H2 k) (take l, (H3 k l (IH l)))),
general m
/- addition -/
protected definition add_zero [simp] (n : ℕ) : n + 0 = n :=
rfl
definition add_succ [simp] (n m : ℕ) : n + succ m = succ (n + m) :=
rfl
protected definition zero_add [simp] (n : ℕ) : 0 + n = n :=
begin
induction n with n IH,
reflexivity,
exact ap succ IH
end
definition succ_add [simp] (n m : ℕ) : (succ n) + m = succ (n + m) :=
begin
induction m with m IH,
reflexivity,
exact ap succ IH
end
protected definition add_comm [simp] (n m : ℕ) : n + m = m + n :=
begin
induction n with n IH,
{ apply nat.zero_add},
{ exact !succ_add ⬝ ap succ IH}
end
protected definition add_add (n l k : ℕ) : n + l + k = n + (k + l) :=
begin
induction l with l IH,
reflexivity,
exact succ_add (n + l) k ⬝ ap succ IH
end
definition succ_add_eq_succ_add (n m : ℕ) : succ n + m = n + succ m :=
!succ_add
protected definition add_assoc [simp] (n m k : ℕ) : (n + m) + k = n + (m + k) :=
begin
induction k with k IH,
reflexivity,
exact ap succ IH
end
protected theorem add_left_comm : Π (n m k : ℕ), n + (m + k) = m + (n + k) :=
left_comm nat.add_comm nat.add_assoc
protected theorem add_right_comm : Π (n m k : ℕ), n + m + k = n + k + m :=
right_comm nat.add_comm nat.add_assoc
protected theorem add_left_cancel {n m k : ℕ} : n + m = n + k → m = k :=
nat.rec_on n
(take H : 0 + m = 0 + k,
!nat.zero_add⁻¹ ⬝ H ⬝ !nat.zero_add)
(take (n : ℕ) (IH : n + m = n + k → m = k) (H : succ n + m = succ n + k),
have succ (n + m) = succ (n + k),
from calc
succ (n + m) = succ n + m : succ_add
... = succ n + k : H
... = succ (n + k) : succ_add,
have n + m = n + k, from succ.inj this,
IH this)
protected theorem add_right_cancel {n m k : ℕ} (H : n + m = k + m) : n = k :=
have H2 : m + n = m + k, from !nat.add_comm ⬝ H ⬝ !nat.add_comm,
nat.add_left_cancel H2
theorem eq_zero_of_add_eq_zero_right {n m : ℕ} : n + m = 0 → n = 0 :=
nat.rec_on n
(take (H : 0 + m = 0), rfl)
(take k IH,
assume H : succ k + m = 0,
absurd
(show succ (k + m) = 0, from calc
succ (k + m) = succ k + m : succ_add
... = 0 : H)
!succ_ne_zero)
theorem eq_zero_of_add_eq_zero_left {n m : ℕ} (H : n + m = 0) : m = 0 :=
eq_zero_of_add_eq_zero_right (!nat.add_comm ⬝ H)
theorem eq_zero_prod_eq_zero_of_add_eq_zero {n m : ℕ} (H : n + m = 0) : n = 0 × m = 0 :=
pair (eq_zero_of_add_eq_zero_right H) (eq_zero_of_add_eq_zero_left H)
theorem add_one [simp] (n : ℕ) : n + 1 = succ n := rfl
theorem one_add (n : ℕ) : 1 + n = succ n :=
!nat.zero_add ▸ !succ_add
/- multiplication -/
protected theorem mul_zero [simp] (n : ℕ) : n * 0 = 0 :=
rfl
theorem mul_succ [simp] (n m : ℕ) : n * succ m = n * m + n :=
rfl
-- commutativity, distributivity, associativity, identity
protected theorem zero_mul [simp] (n : ℕ) : 0 * n = 0 :=
nat.rec_on n
!nat.mul_zero
(take m IH, !mul_succ ⬝ !nat.add_zero ⬝ IH)
theorem succ_mul [simp] (n m : ℕ) : (succ n) * m = (n * m) + m :=
nat.rec_on m
(by rewrite nat.mul_zero)
(take k IH, calc
succ n * succ k = succ n * k + succ n : mul_succ
... = n * k + k + succ n : IH
... = n * k + (k + succ n) : nat.add_assoc
... = n * k + (succ n + k) : nat.add_comm
... = n * k + (n + succ k) : succ_add_eq_succ_add
... = n * k + n + succ k : nat.add_assoc
... = n * succ k + succ k : mul_succ)
protected theorem mul_comm [simp] (n m : ℕ) : n * m = m * n :=
nat.rec_on m
(!nat.mul_zero ⬝ !nat.zero_mul⁻¹)
(take k IH, calc
n * succ k = n * k + n : mul_succ
... = k * n + n : IH
... = (succ k) * n : succ_mul)
protected theorem right_distrib (n m k : ℕ) : (n + m) * k = n * k + m * k :=
nat.rec_on k
(calc
(n + m) * 0 = 0 : nat.mul_zero
... = 0 + 0 : nat.add_zero
... = n * 0 + 0 : nat.mul_zero
... = n * 0 + m * 0 : nat.mul_zero)
(take l IH, calc
(n + m) * succ l = (n + m) * l + (n + m) : mul_succ
... = n * l + m * l + (n + m) : IH
... = n * l + m * l + n + m : nat.add_assoc
... = n * l + n + m * l + m : nat.add_right_comm
... = n * l + n + (m * l + m) : nat.add_assoc
... = n * succ l + (m * l + m) : mul_succ
... = n * succ l + m * succ l : mul_succ)
protected theorem left_distrib (n m k : ℕ) : n * (m + k) = n * m + n * k :=
calc
n * (m + k) = (m + k) * n : nat.mul_comm
... = m * n + k * n : nat.right_distrib
... = n * m + k * n : nat.mul_comm
... = n * m + n * k : nat.mul_comm
protected theorem mul_assoc [simp] (n m k : ℕ) : (n * m) * k = n * (m * k) :=
nat.rec_on k
(calc
(n * m) * 0 = n * (m * 0) : nat.mul_zero)
(take l IH,
calc
(n * m) * succ l = (n * m) * l + n * m : mul_succ
... = n * (m * l) + n * m : IH
... = n * (m * l + m) : nat.left_distrib
... = n * (m * succ l) : mul_succ)
protected theorem mul_one [simp] (n : ℕ) : n * 1 = n :=
calc
n * 1 = n * 0 + n : mul_succ
... = 0 + n : nat.mul_zero
... = n : nat.zero_add
protected theorem one_mul [simp] (n : ℕ) : 1 * n = n :=
calc
1 * n = n * 1 : nat.mul_comm
... = n : nat.mul_one
theorem eq_zero_sum_eq_zero_of_mul_eq_zero {n m : ℕ} : n * m = 0 → n = 0 ⊎ m = 0 :=
nat.cases_on n
(assume H, sum.inl rfl)
(take n',
nat.cases_on m
(assume H, sum.inr rfl)
(take m',
assume H : succ n' * succ m' = 0,
absurd
(calc
0 = succ n' * succ m' : H
... = succ n' * m' + succ n' : mul_succ
... = succ (succ n' * m' + n') : add_succ)⁻¹
!succ_ne_zero))
protected definition comm_semiring [trans_instance] : comm_semiring nat :=
⦃comm_semiring,
add := nat.add,
add_assoc := nat.add_assoc,
zero := nat.zero,
zero_add := nat.zero_add,
add_zero := nat.add_zero,
add_comm := nat.add_comm,
mul := nat.mul,
mul_assoc := nat.mul_assoc,
one := nat.succ nat.zero,
one_mul := nat.one_mul,
mul_one := nat.mul_one,
left_distrib := nat.left_distrib,
right_distrib := nat.right_distrib,
zero_mul := nat.zero_mul,
mul_zero := nat.mul_zero,
mul_comm := nat.mul_comm,
is_set_carrier:= _⦄
end nat
section
open nat
definition iterate {A : Type} (op : A → A) : ℕ → A → A
| 0 := λ a, a
| (succ k) := λ a, op (iterate k a)
notation f `^[`:80 n:0 `]`:0 := iterate f n
end
|
9300a4d8c00cac9fa24a565a9fc26488dc3919ba | 5ec8f5218a7c8e87dd0d70dc6b715b36d61a8d61 | /switch.lean | 17bff4216166d3cffd2e65e9f86ab963750619f8 | [] | no_license | mbrodersen/kremlin | f9f2f9dd77b9744fe0ffd5f70d9fa0f1f8bd8cec | d4665929ce9012e93a0b05fc7063b96256bab86f | refs/heads/master | 1,624,057,268,130 | 1,496,957,084,000 | 1,496,957,084,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 11,363 | lean |
/- Multi-way branches (``switch'' statements) and their compilation
to comparison trees. -/
import .values
namespace switch
open values word integers maps
inductive switch_argument : bool → val → Π w:ℕ+, word w → Prop
| switch_argument_32 (i) : switch_argument ff (Vint i) _ i
| switch_argument_64 (i) : switch_argument tt (Vlong i) _ i
section
parameter wordsize : ℕ+
local notation `uword` := uword wordsize
/- A multi-way branch is composed of a list of (key, action) pairs,
plus a default action. -/
def table : Type := list (uword × ℕ)
def switch_target (n : uword) (dfl : ℕ) : table → ℕ
| [] := dfl
| ((key, action) :: rem) := if n = key then action else switch_target rem
def switch_target' (n : uword) (dfl : ℕ) (tbl : list (ℤ × ℕ)) : ℕ :=
switch_target n dfl $ tbl.map (λ⟨a, b⟩, (repr a, b))
/- Multi-way branches are translated to comparison trees.
Each node of the tree performs either
- an equality against one of the keys;
- or a "less than" test against one of the keys;
- or a computed branch (jump table) against a range of key values. -/
inductive comptree : Type
| CTaction {} (act : ℕ)
| CTifeq (key : uword) (act : ℕ) (cne : comptree)
| CTiflt (key : uword) (clt : comptree) (cge : comptree)
| CTjumptable (ofs sz : uword) (acts : list ℕ) (h : (sz:ℕ) ≤ acts.length) (cother : comptree)
open comptree
def comptree_match (n : uword) : comptree → option ℕ
| (CTaction act) := some act
| (CTifeq key act t') := if n = key then some act else comptree_match t'
| (CTiflt key t1 t2) := if n < key then comptree_match t1 else comptree_match t2
| (CTjumptable ofs sz tbl sl t') :=
let delta := n - ofs in
if h : delta < sz
then some (list.nth_le tbl (unsigned delta) (lt_of_lt_of_le h sl))
else comptree_match t'
def comptree_match' (n : uword) (dfl : ℕ) (t : comptree) : ℕ :=
(comptree_match n t).get_or_else dfl
/- The translation from a table to a comparison tree is performed
by untrusted Caml code (function [compile_switch] in
file [RTLgenaux.ml]). In Coq, we validate a posteriori the
result of this function. In other terms, we now develop
and prove correct Coq functions that take a table and a comparison
tree, and check that their semantics are equivalent. -/
def split_lt (pivot : uword) (cases : table) : table × table :=
cases.partition (λ e, e.1 < pivot)
def split_eq (pivot : uword) : table → option ℕ × table
| [] := (none, [])
| ((key, act) :: rem) :=
let (same, others) := split_eq rem in
if key = pivot
then (some act, others)
else (same, (key, act) :: others)
def split_between (ofs sz : uword) : table → PTree ℕ × table
| [] := (∅, [])
| ((key, act) :: rem) :=
let (inside, outside) := split_between rem in
if key - ofs < sz
then (PTree.set (pos_num.of_nat_succ key) act inside, outside)
else (inside, (key, act) :: outside)
def refine_low_bound (v lo : uword) := if v = lo then lo + 1 else lo
def refine_high_bound (v hi : uword) := if v = hi then hi - 1 else hi
def validate_jumptable (dfl : ℕ) (cases : PTree ℕ) : Π (tbl : list ℕ) (n : uword),
semidecidable (∀ (v : uword) h,
tbl.nth_le (unsigned (v - n)) h = cases.get_or (pos_num.of_nat_succ v) dfl)
| [] n := semidecidable.success $ λ v h, absurd h (nat.not_lt_zero _)
| (act :: rem) n :=
semidecidable.bind (act = cases.get_or (pos_num.of_nat_succ n) dfl) $ λae,
@semidecidable.bind _ _ (validate_jumptable rem (n + 1)) $ λIH,
semidecidable.success $
show ∀ (v : uword) h, list.nth_le (act :: rem) (unsigned (v - n)) h =
PTree.get_or (pos_num.of_nat_succ ↑v) cases dfl, begin
intro v,
ginduction unsigned (v - n) with u; rw u; dsimp [list.nth_le]; intro h,
{ note vn : v = n := eq_of_sub_eq_zero (unsigned_eq.2 $ eq.trans u unsigned_zero.symm),
rw vn, exact ae },
{ assert va : unsigned (v - (n + 1)) = a,
{ rw [-sub_sub, sub_unsigned, unsigned_one, u, -int.coe_nat_sub, unsigned_repr],
refl,
{ change a ≤ _,
apply nat.le_of_succ_le,
rw -u, apply unsigned_range_2 },
{ apply nat.succ_pos } },
note : ∀ h, list.nth_le rem (unsigned (v - (n + 1))) h =
PTree.get_or (pos_num.of_nat_succ ↑v) cases dfl := IH v,
rw va at this, apply this }
end
def table_tree_agree' (dfl : ℕ) (cases : table) (t : comptree) (lo hi : uword) : Prop :=
∀ ⦃n⦄, lo ≤ n → n ≤ hi → switch_target n dfl cases = comptree_match' n dfl t
def table_tree_agree (dfl : ℕ) (cases : table) (t : comptree) : Prop :=
∀ ⦃n⦄, switch_target n dfl cases = comptree_match' n dfl t
lemma split_eq_prop (dfl : ℕ) {pivot cases} (v) : ∀ ⦃optact cases'⦄,
split_eq pivot cases = (optact, cases') →
switch_target v dfl cases =
(if v = pivot then optact.get_or_else dfl
else switch_target v dfl cases') := sorry'
lemma split_lt_prop (dfl : ℕ) {pivot cases} (v) : ∀ ⦃lcases rcases⦄,
split_lt pivot cases = (lcases, rcases) →
switch_target v dfl cases =
(if v < pivot
then switch_target v dfl lcases
else switch_target v dfl rcases) := sorry'
lemma split_between_prop (dfl : ℕ) (v) {ofs sz} : ∀ {cases} ⦃inside outside⦄,
split_between ofs sz cases = (inside, outside) →
switch_target v dfl cases =
(if v - ofs < sz
then PTree.get_or (pos_num.of_nat_succ v) inside dfl
else switch_target v dfl outside) := sorry'
def validate (dfl : ℕ) : Π (cases : table) (t : comptree) (lo hi : uword),
semidecidable (table_tree_agree' dfl cases t lo hi)
| [] (CTaction act) lo hi :=
semidecidable.bind (dfl = act) $ λh,
semidecidable.success $ λ n nl nh, h
| ((key1, act1) :: _) (CTaction act) lo hi :=
semidecidable.bind (key1 = lo ∧ lo = hi ∧ act1 = act) $ λ⟨kl, lh, aa⟩,
semidecidable.success $ λ n nl nh,
begin
dsimp [switch_target], rw if_pos, exact aa,
rw [kl], rw -lh at nh, exact le_antisymm nh nl
end
| cases (CTifeq pivot act t') lo hi :=
match _, rfl : ∀ x, split_eq pivot cases = x → _ with
| (none, _), _ := semidecidable.fail
| (some act', others), se :=
semidecidable.bind (act' = act) $ λaa,
@semidecidable.bind _ _ (validate others t'
(refine_low_bound pivot lo) (refine_high_bound pivot hi)) $ λIH,
semidecidable.success $
show table_tree_agree' dfl cases (CTifeq pivot act t') lo hi, begin
rw aa at se, intros n nl nh,
rw [split_eq_prop _ dfl n se],
by_cases n = pivot with np; simp [np, option.get_or_else, comptree_match', comptree_match],
apply IH,
{ dsimp [refine_low_bound], by_cases pivot = lo with pl; simp [pl],
{ rw pl at np, exact uword.succ_le_of_lt (lt_of_le_of_ne nl (ne.symm np)) },
{ exact nl } },
{ dsimp [refine_high_bound], by_cases pivot = hi with ph; simp [ph],
{ rw ph at np, exact uword.le_pred_of_lt (lt_of_le_of_ne nh np) },
{ exact nh } }
end
end
| cases (CTiflt pivot t1 t2) lo hi :=
match _, rfl : ∀ x, split_lt pivot cases = x → _ with
| (lcases, rcases), sl :=
@semidecidable.bind _ _ (validate lcases t1 lo (pivot - 1)) $ λL,
@semidecidable.bind _ _ (validate rcases t2 pivot hi) $ λR,
semidecidable.success $
show table_tree_agree' dfl cases (CTiflt pivot t1 t2) lo hi, begin
intros n nl nh,
rw [split_lt_prop _ dfl n sl],
by_cases (n < pivot) with lp; simp [lp, comptree_match', comptree_match],
exact L nl (uword.le_pred_of_lt lp),
exact R (le_of_not_gt lp) nh,
end
end
| cases (CTjumptable ofs sz tbl h t') lo hi :=
match _, rfl : ∀ x, split_between ofs sz cases = x → _ with
| (inside, outside), sb :=
@semidecidable.bind _ _ (validate_jumptable dfl inside tbl ofs) $ λI,
@semidecidable.bind _ _ (validate outside t' lo hi) $ λO,
semidecidable.success $
show table_tree_agree' dfl cases (CTjumptable ofs sz tbl h t') lo hi, begin
intros n nl nh,
rw [split_between_prop _ dfl n sb],
dsimp only [comptree_match', comptree_match],
cases (by apply_instance : decidable (n - ofs < sz)) with ns ns; dsimp only [ite, dite, option.get_or_else],
exact O nl nh,
{ rw I }
end
end
def validate_switch (dfl : ℕ) (cases : table) (t : comptree) :
semidecidable (table_tree_agree dfl cases t) :=
begin
refine @semidecidable.of_imp _ _ _ (validate _ dfl cases t 0 (repr (max_unsigned wordsize))),
intros h n,
apply h (uword.zero_le _),
unfold has_le.le leu,
rw unsigned_repr,
{ apply unsigned_range_2 },
{ apply le_refl }
end
/- Caml code for compile_switch
module ZSet = Set.Make(Z)
let normalize_table tbl =
let rec norm keys accu = function
| [] -> (accu, keys)
| (key, act) :: rem ->
if ZSet.mem key keys
then norm keys accu rem
else norm (ZSet.add key keys) ((key, act) :: accu) rem
in norm ZSet.empty [] tbl
let compile_switch_as_tree modulus default tbl =
let sw = Array.of_list tbl in
Array.stable_sort (fun (n1, _) (n2, _) -> Z.compare n1 n2) sw;
let rec build lo hi minval maxval =
match hi - lo with
| 0 ->
CTaction default
| 1 ->
let (key, act) = sw.(lo) in
if Z.sub maxval minval = Z.zero
then CTaction act
else CTifeq(key, act, CTaction default)
| 2 ->
let (key1, act1) = sw.(lo)
and (key2, act2) = sw.(lo+1) in
CTifeq(key1, act1,
if Z.sub maxval minval = Z.one
then CTaction act2
else CTifeq(key2, act2, CTaction default))
| 3 ->
let (key1, act1) = sw.(lo)
and (key2, act2) = sw.(lo+1)
and (key3, act3) = sw.(lo+2) in
CTifeq(key1, act1,
CTifeq(key2, act2,
if Z.sub maxval minval = Z.of_uint 2
then CTaction act3
else CTifeq(key3, act3, CTaction default)))
| _ ->
let mid = (lo + hi) / 2 in
let (pivot, _) = sw.(mid) in
CTiflt(pivot,
build lo mid minval (Z.sub pivot Z.one),
build mid hi pivot maxval)
in build 0 (Array.length sw) Z.zero modulus
let compile_switch_as_jumptable default cases minkey maxkey =
let tblsize = 1 + Z.to_int (Z.sub maxkey minkey) in
assert (tblsize >= 0 && tblsize <= Sys.max_array_length);
let tbl = Array.make tblsize default in
List.iter
(fun (key, act) ->
let pos = Z.to_int (Z.sub key minkey) in
tbl.(pos) <- act)
cases;
CTjumptable(minkey,
Z.of_uint tblsize,
Array.to_list tbl,
CTaction default)
let dense_enough (numcases: int) (minkey: Z.t) (maxkey: Z.t) =
let span = Z.sub maxkey minkey in
assert (Z.ge span Z.zero);
let tree_size = Z.mul (Z.of_uint 4) (Z.of_uint numcases)
and table_size = Z.add (Z.of_uint 8) span in
numcases >= 7 (* small jump tables are always less efficient *)
&& Z.le table_size tree_size
&& Z.lt span (Z.of_uint Sys.max_array_length)
let compile_switch modulus default table =
let (tbl, keys) = normalize_table table in
if ZSet.is_empty keys then CTaction default else begin
let minkey = ZSet.min_elt keys
and maxkey = ZSet.max_elt keys in
if dense_enough (List.length tbl) minkey maxkey
then compile_switch_as_jumptable default tbl minkey maxkey
else compile_switch_as_tree modulus default tbl
end
-/
end
end switch |
e5bc6a84bee07a286dceee6f346d13e70f3ce03c | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/with_options.lean | 7b6bbb380541978dc2fec8c6111e0511047436db | [
"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 | 429 | lean | example {A : Type} (a b c : A) : a = b → b = c → a = c :=
begin
intro h₁ h₂,
with_options [pp.implicit true, pp.notation false] state; state,
with_options [pp.all true, pp.max_depth 1] state,
with_options [pp.notation false] state,
with_options [pp.notation false] (state; state),
substvars
end
example {A : Type} (a b c : A) : a = b → b = c → a = c :=
begin
intros,
with_options [] id, -- error
end
|
edb445a06332e04fc629355f35b4fd85ab06bc65 | 69d4931b605e11ca61881fc4f66db50a0a875e39 | /src/meta/expr.lean | 45f0f5a58f28d4baaf0ee3d105b631b16ef0ffd7 | [
"Apache-2.0"
] | permissive | abentkamp/mathlib | d9a75d291ec09f4637b0f30cc3880ffb07549ee5 | 5360e476391508e092b5a1e5210bd0ed22dc0755 | refs/heads/master | 1,682,382,954,948 | 1,622,106,077,000 | 1,622,106,077,000 | 149,285,665 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 41,955 | 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
-/
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
/--
`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
/-- Apply a function to each constant (inductive type, defined function etc) in an expression. -/
protected meta def apply_replacement_fun (f : name → name) (e : expr) : expr :=
e.replace $ λ e d,
match e with
| expr.const n ls := some $ expr.const (f n) ls
| _ := none
end
/-- 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)
| 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`.
-/
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
| (list.cons 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
/-- `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
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 tgt decl`
sets the name of the given `decl : declaration` to `tgt`, and applies `f` to the names
of all `expr.const`s which appear in the value or type of `decl`.
-/
protected meta def update_with_fun (f : name → name) (tgt : name) (decl : declaration) :
declaration :=
let decl := decl.update_name $ tgt in
let decl := decl.update_type $ decl.type.apply_replacement_fun f in
decl.update_value $ decl.value.apply_replacement_fun f
/-- 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
|
90081b622ee63a6a18d99d5a3299f0d9ce6a2f60 | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/tactic/tauto.lean | a741253119b0c6481e4bdae2ff81a17de10ea7d9 | [
"Apache-2.0"
] | permissive | jjgarzella/mathlib | 96a345378c4e0bf26cf604aed84f90329e4896a2 | 395d8716c3ad03747059d482090e2bb97db612c8 | refs/heads/master | 1,686,480,124,379 | 1,625,163,323,000 | 1,625,163,323,000 | 281,190,421 | 2 | 0 | Apache-2.0 | 1,595,268,170,000 | 1,595,268,169,000 | null | UTF-8 | Lean | false | false | 11,507 | 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 tactic.hint
namespace tactic
open expr
open tactic.interactive ( casesm constructor_matching )
/--
find all assumptions of the shape `¬ (p ∧ q)` or `¬ (p ∨ q)` and
replace them using de Morgan's law.
-/
meta def distrib_not : tactic unit :=
do hs ← local_context,
hs.for_each $ λ h,
all_goals' $
iterate_at_most' 3 $
do h ← get_local h.local_pp_name,
e ← infer_type h,
match e with
| `(¬ _ = _) := replace h.local_pp_name ``(mt iff.to_eq %%h)
| `(_ ≠ _) := replace h.local_pp_name ``(mt iff.to_eq %%h)
| `(_ = _) := replace h.local_pp_name ``(eq.to_iff %%h)
| `(¬ (_ ∧ _)) := replace h.local_pp_name ``(decidable.not_and_distrib'.mp %%h) <|>
replace h.local_pp_name ``(decidable.not_and_distrib.mp %%h)
| `(¬ (_ ∨ _)) := replace h.local_pp_name ``(not_or_distrib.mp %%h)
| `(¬ ¬ _) := replace h.local_pp_name ``(decidable.of_not_not %%h)
| `(¬ (_ → (_ : Prop))) := replace h.local_pp_name ``(decidable.not_imp.mp %%h)
| `(¬ (_ ↔ _)) := replace h.local_pp_name ``(decidable.not_iff.mp %%h)
| `(_ ↔ _) := replace h.local_pp_name ``(decidable.iff_iff_and_or_not_and_not.mp %%h) <|>
replace h.local_pp_name ``(decidable.iff_iff_and_or_not_and_not.mp (%%h).symm) <|>
() <$ tactic.cases h
| `(_ → _) := replace h.local_pp_name ``(decidable.not_or_of_imp %%h)
| _ := failed
end
/-!
The following definitions maintain a path compression datastructure, i.e. a forest such that:
- every node is the type of a hypothesis
- there is a edge between two nodes only if they are provably equivalent
- every edge is labelled with a proof of equivalence for its vertices
- edges are added when normalizing propositions.
-/
meta def tauto_state := ref $ expr_map (option (expr × expr))
meta def modify_ref {α : Type} (r : ref α) (f : α → α) :=
read_ref r >>= write_ref r ∘ f
meta def add_refl (r : tauto_state) (e : expr) : tactic (expr × expr) :=
do m ← read_ref r,
p ← mk_mapp `rfl [none,e],
write_ref r $ m.insert e none,
return (e,p)
/--
If there exists a symmetry lemma that can be applied to the hypothesis `e`,
store it.
-/
meta def add_symm_proof (r : tauto_state) (e : expr) : tactic (expr × expr) :=
do env ← get_env,
let rel := e.get_app_fn.const_name,
some symm ← pure $ environment.symm_for env rel
| add_refl r e,
(do e' ← mk_meta_var `(Prop),
iff_t ← to_expr ``(%%e = %%e'),
(_,p) ← solve_aux iff_t
(applyc `iff.to_eq ; () <$ split ; applyc symm),
e' ← instantiate_mvars e',
m ← read_ref r,
write_ref r $ (m.insert e (e',p)).insert e' none,
return (e',p) )
<|> add_refl r e
meta def add_edge (r : tauto_state) (x y p : expr) : tactic unit :=
modify_ref r $ λ m, m.insert x (y,p)
/--
Retrieve the root of the hypothesis `e` from the proof forest.
If `e` has not been internalized, add it to the proof forest.
-/
meta def root (r : tauto_state) : expr → tactic (expr × expr) | e :=
do m ← read_ref r,
let record_e : tactic (expr × expr) :=
match e with
| v@(expr.mvar _ _ _) :=
(do (e,p) ← get_assignment v >>= root,
add_edge r v e p,
return (e,p)) <|>
add_refl r e
| _ := add_refl r e
end,
some e' ← pure $ m.find e | record_e,
match e' with
| (some (e',p')) :=
do (e'',p'') ← root e',
p'' ← mk_app `eq.trans [p',p''],
add_edge r e e'' p'',
pure (e'',p'')
| none := prod.mk e <$> mk_mapp `rfl [none,some e]
end
/--
Given hypotheses `a` and `b`, build a proof that `a` is equivalent to `b`,
applying congruence and recursing into arguments if `a` and `b`
are applications of function symbols.
-/
meta def symm_eq (r : tauto_state) : expr → expr → tactic expr | a b :=
do m ← read_ref r,
(a',pa) ← root r a,
(b',pb) ← root r b,
(unify a' b' >> add_refl r a' *> mk_mapp `rfl [none,a]) <|>
do p ← match (a', b') with
| (`(¬ %%a₀), `(¬ %%b₀)) :=
do p ← symm_eq a₀ b₀,
p' ← mk_app `congr_arg [`(not),p],
add_edge r a' b' p',
return p'
| (`(%%a₀ ∧ %%a₁), `(%%b₀ ∧ %%b₁)) :=
do p₀ ← symm_eq a₀ b₀,
p₁ ← symm_eq a₁ b₁,
p' ← to_expr ``(congr (congr_arg and %%p₀) %%p₁),
add_edge r a' b' p',
return p'
| (`(%%a₀ ∨ %%a₁), `(%%b₀ ∨ %%b₁)) :=
do p₀ ← symm_eq a₀ b₀,
p₁ ← symm_eq a₁ b₁,
p' ← to_expr ``(congr (congr_arg or %%p₀) %%p₁),
add_edge r a' b' p',
return p'
| (`(%%a₀ ↔ %%a₁), `(%%b₀ ↔ %%b₁)) :=
(do p₀ ← symm_eq a₀ b₀,
p₁ ← symm_eq a₁ b₁,
p' ← to_expr ``(congr (congr_arg iff %%p₀) %%p₁),
add_edge r a' b' p',
return p') <|>
do p₀ ← symm_eq a₀ b₁,
p₁ ← symm_eq a₁ b₀,
p' ← to_expr ``(eq.trans (congr (congr_arg iff %%p₀) %%p₁)
(iff.to_eq iff.comm ) ),
add_edge r a' b' p',
return p'
| (`(%%a₀ → %%a₁), `(%%b₀ → %%b₁)) :=
if ¬ a₁.has_var ∧ ¬ b₁.has_var then
do p₀ ← symm_eq a₀ b₀,
p₁ ← symm_eq a₁ b₁,
p' ← mk_app `congr_arg [`(implies),p₀,p₁],
add_edge r a' b' p',
return p'
else unify a' b' >> add_refl r a' *> mk_mapp `rfl [none,a]
| (_, _) :=
(do guard $ a'.get_app_fn.is_constant ∧
a'.get_app_fn.const_name = b'.get_app_fn.const_name,
(a'',pa') ← add_symm_proof r a',
guard $ a'' =ₐ b',
pure pa' )
end,
p' ← mk_eq_trans pa p,
add_edge r a' b' p',
mk_eq_symm pb >>= mk_eq_trans p'
meta def find_eq_type (r : tauto_state) : expr → list expr → tactic (expr × expr)
| e [] := failed
| e (H :: Hs) :=
do t ← infer_type H,
(prod.mk H <$> symm_eq r e t) <|> find_eq_type e Hs
private meta def contra_p_not_p (r : tauto_state) : list expr → list expr → tactic unit
| [] Hs := failed
| (H1 :: Rs) Hs :=
do t ← (extract_opt_auto_param <$> infer_type H1) >>= whnf,
(do a ← match_not t,
(H2,p) ← find_eq_type r a Hs,
H2 ← to_expr ``( (%%p).mpr %%H2 ),
tgt ← target,
pr ← mk_app `absurd [tgt, H2, H1],
tactic.exact pr)
<|> contra_p_not_p Rs Hs
meta def contradiction_with (r : tauto_state) : tactic unit :=
contradiction <|>
do tactic.try intro1,
ctx ← local_context,
contra_p_not_p r ctx ctx
meta def contradiction_symm :=
using_new_ref (native.rb_map.mk _ _) contradiction_with
meta def assumption_with (r : tauto_state) : tactic unit :=
do { ctx ← local_context,
t ← target,
(H,p) ← find_eq_type r t ctx,
mk_eq_mpr p H >>= tactic.exact }
<|> fail "assumption tactic failed"
meta def assumption_symm :=
using_new_ref (native.rb_map.mk _ _) assumption_with
/--
Configuration options for `tauto`.
If `classical` is `tt`, runs `classical` before the rest of `tauto`.
`closer` is run on any remaining subgoals left by `tauto_core; basic_tauto_tacs`.
-/
meta structure tauto_cfg :=
(classical : bool := ff)
(closer : tactic unit := pure ())
meta def tautology (cfg : tauto_cfg := {}) : tactic unit := focus1 $
let basic_tauto_tacs : list (tactic unit) :=
[reflexivity, solve_by_elim,
constructor_matching none [``(_ ∧ _),``(_ ↔ _),``(Exists _),``(true)]],
tauto_core (r : tauto_state) : tactic unit :=
do try (contradiction_with r);
try (assumption_with r);
repeat (do
gs ← get_goals,
repeat (() <$ tactic.intro1);
distrib_not;
casesm (some ()) [``(_ ∧ _),``(_ ∨ _),``(Exists _),``(false)];
try (contradiction_with r);
try (target >>= match_or >> refine ``( or_iff_not_imp_left.mpr _));
try (target >>= match_or >> refine ``( or_iff_not_imp_right.mpr _));
repeat (() <$ tactic.intro1);
constructor_matching (some ()) [``(_ ∧ _),``(_ ↔ _),``(true)];
try (assumption_with r),
gs' ← get_goals,
guard (gs ≠ gs') ) in
do when cfg.classical classical,
using_new_ref (expr_map.mk _) tauto_core;
repeat (first basic_tauto_tacs); cfg.closer, done
namespace interactive
local postfix `?`:9001 := optional
setup_tactic_parser
/--
`tautology` breaks down assumptions of the form `_ ∧ _`, `_ ∨ _`, `_ ↔ _` and `∃ _, _`
and splits a goal of the form `_ ∧ _`, `_ ↔ _` or `∃ _, _` until it can be discharged
using `reflexivity` or `solve_by_elim`.
This is a finishing tactic: it either closes the goal or raises an error.
The variant `tautology!` uses the law of excluded middle.
`tautology {closer := tac}` will use `tac` on any subgoals created by `tautology`
that it is unable to solve before failing.
-/
meta def tautology (c : parse $ (tk "!")?) (cfg : tactic.tauto_cfg := {}) :=
tactic.tautology $ { classical := c.is_some, ..cfg }
-- Now define a shorter name for the tactic `tautology`.
/--
`tauto` breaks down assumptions of the form `_ ∧ _`, `_ ∨ _`, `_ ↔ _` and `∃ _, _`
and splits a goal of the form `_ ∧ _`, `_ ↔ _` or `∃ _, _` until it can be discharged
using `reflexivity` or `solve_by_elim`.
This is a finishing tactic: it either closes the goal or raises an error.
The variant `tauto!` uses the law of excluded middle.
`tauto {closer := tac}` will use `tac` on any subgoals created by `tauto`
that it is unable to solve before failing.
-/
meta def tauto (c : parse $ (tk "!")?) (cfg : tactic.tauto_cfg := {}) : tactic unit :=
tautology c cfg
add_hint_tactic "tauto"
/--
This tactic (with shorthand `tauto`) breaks down assumptions of the form
`_ ∧ _`, `_ ∨ _`, `_ ↔ _` and `∃ _, _`
and splits a goal of the form `_ ∧ _`, `_ ↔ _` or `∃ _, _` until it can be discharged
using `reflexivity` or `solve_by_elim`. This is a finishing tactic: it
either closes the goal or raises an error.
The variants `tautology!` and `tauto!` use the law of excluded middle.
For instance, one can write:
```lean
example (p q r : Prop) [decidable p] [decidable r] : p ∨ (q ∧ r) ↔ (p ∨ q) ∧ (r ∨ p ∨ r) := by tauto
```
and the decidability assumptions can be dropped if `tauto!` is used
instead of `tauto`.
`tauto {closer := tac}` will use `tac` on any subgoals created by `tauto`
that it is unable to solve before failing.
-/
add_tactic_doc
{ name := "tautology",
category := doc_category.tactic,
decl_names := [`tactic.interactive.tautology, `tactic.interactive.tauto],
tags := ["logic", "decision procedure"] }
end interactive
end tactic
|
7180daefee4bae79d387f30510c3e3483cc51609 | df7bb3acd9623e489e95e85d0bc55590ab0bc393 | /lean/love08_operational_semantics_demo.lean | f953a54c231273b98c7d6b42817ec6d328b38581 | [] | no_license | MaschavanderMarel/logical_verification_2020 | a41c210b9237c56cb35f6cd399e3ac2fe42e775d | 7d562ef174cc6578ca6013f74db336480470b708 | refs/heads/master | 1,692,144,223,196 | 1,634,661,675,000 | 1,634,661,675,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 21,026 | lean | import .lovelib
/- # LoVe Demo 8: Operational Semantics
In this and the next two lectures, we will see how to use Lean to specify the
syntax and semantics of programming languages and to reason about the
semantics. -/
set_option pp.beta true
set_option pp.generalized_field_notation false
namespace LoVe
/- ## Formal Semantics
A formal semantics helps specify and reason about the programming language
itself, and about individual programs.
It can form the basis of verified compilers, interpreters, verifiers, static
analyzers, type checkers, etc. Without formal proofs, these tools are
**almost always wrong**.
In this area, proof assistants are widely used. Every year, about 10-20% of POPL
papers are partially or totally formalized. Reasons for this success:
* Little machinery (background libraries, tactics) is needed to get started,
beyond inductive types and predicates and recursive functions.
* The proofs tend to have lots of cases, which is a good match for computers.
* Proof assistants keep track of what needs to be changed when as extend the
programming language with more features.
Case in point: WebAssembly. To quote Conrad Watt (with some abbreviations):
We have produced a full Isabelle mechanisation of the core execution
semantics and type system of the WebAssembly language. To complete this
proof, **several deficiencies** in the official WebAssembly specification,
uncovered by our proof and modelling work, needed to be corrected. In some
cases, these meant that the type system was **originally unsound**.
We have maintained a constructive dialogue with the working group,
verifying new features as they are added. In particular, the mechanism by
which a WebAssembly implementation interfaces with its host environment was
not formally specified in the working group's original paper. Extending our
mechanisation to model this feature revealed a deficiency in the WebAssembly
specification that **sabotaged the soundness** of the type system.
## A Minimalistic Imperative Language
__WHILE__ is a minimalistic imperative language with the following grammar:
S ::= skip -- no-op
| x := a -- assignment
| S ; S -- sequential composition
| if b then S else S -- conditional statement
| while b do S -- while loop
where `S` stands for a statement (also called command or program), `x` for a
variable, `a` for an arithmetic expression, and `b` for a Boolean expression. -/
inductive stmt : Type
| skip : stmt
| assign : string → (state → ℕ) → stmt
| seq : stmt → stmt → stmt
| ite : (state → Prop) → stmt → stmt → stmt
| while : (state → Prop) → stmt → stmt
infixr ` ;; ` : 90 := stmt.seq
/- In our grammar, we deliberately leave the syntax of arithmetic and Boolean
expressions unspecified. In Lean, we have the choice:
* We could use a type such as `aexp` from lecture 1 and similarly for Boolean
expressions.
* Supposing a state `s` is a function from variable names to values
(`string → ℕ`), we could decide that an arithmetic expression is simply a
function from states to natural numbers (`state → ℕ`) and a Boolean expression
is a predicate (`state → Prop` or `state → bool`).
This corresponds to the difference between deep and shallow embeddings:
* A __deep embedding__ of some syntax (expression, formula, program, etc.)
consists of an abstract syntax tree specified in the proof assistant
(e.g., `aexp`) with a semantics (e.g., `eval`).
* In contrast, a __shallow embedding__ simply reuses the corresponding
mechanisms from the logic (e.g., λ-terms, functions and predicate types).
A deep embedding allows us to reason about the syntax (and its semantics). A
shallow embedding is more lightweight, because we can use it directly, without
having to define a semantics.
We will use a deep embedding of programs (which we find interesting), and
shallow embeddings of assignments and Boolean expressions (which we find
boring).
Examples:
`λs : state, s "x" + s "y" + 1` -- x + y + 1
`λs : state, s "a" ≠ s "b"` -- a ≠ b
## Big-Step Semantics
An __operational semantics__ corresponds to an idealized interpreter (specified
in a Prolog-like language). Two main variants:
* big-step semantics;
* small-step semantics.
In a __big-step semantics__ (also called __natural semantics__), judgments have
the form `(S, s) ⟹ t`:
Starting in a state `s`, executing `S` terminates in the state `t`.
Example:
`(x := x + y; y := 0, [x ↦ 3, y ↦ 5]) ⟹ [x ↦ 8, y ↦ 0]`
Derivation rules:
——————————————— Skip
(skip, s) ⟹ s
——————————————————————————— Asn
(x := a, s) ⟹ s[x ↦ s(a)]
(S, s) ⟹ t (T, t) ⟹ u
——————————————————————————— Seq
(S; T, s) ⟹ u
(S, s) ⟹ t
————————————————————————————— If-True if s(b) is true
(if b then S else T, s) ⟹ t
(T, s) ⟹ t
————————————————————————————— If-False if s(b) is false
(if b then S else T, s) ⟹ t
(S, s) ⟹ t (while b do S, t) ⟹ u
—————————————————————————————————————— While-True if s(b) is true
(while b do S, s) ⟹ u
————————————————————————— While-False if s(b) is false
(while b do S, s) ⟹ s
Above, `s(e)` denotes the value of expression `e` in state `s`.
In Lean, the judgment corresponds to an inductive predicate, and the derivation
rules correspond to the predicate's introduction rules. Using an inductive
predicate as opposed to a recursive function allows us to cope with
nontermination (e.g., a diverging `while`) and nondeterminism (e.g.,
multithreading). -/
inductive big_step : stmt × state → state → Prop
| skip {s} :
big_step (stmt.skip, s) s
| assign {x a s} :
big_step (stmt.assign x a, s) (s{x ↦ a s})
| seq {S T s t u} (hS : big_step (S, s) t)
(hT : big_step (T, t) u) :
big_step (S ;; T, s) u
| ite_true {b : state → Prop} {S T s t} (hcond : b s)
(hbody : big_step (S, s) t) :
big_step (stmt.ite b S T, s) t
| ite_false {b : state → Prop} {S T s t} (hcond : ¬ b s)
(hbody : big_step (T, s) t) :
big_step (stmt.ite b S T, s) t
| while_true {b : state → Prop} {S s t u} (hcond : b s)
(hbody : big_step (S, s) t)
(hrest : big_step (stmt.while b S, t) u) :
big_step (stmt.while b S, s) u
| while_false {b : state → Prop} {S s} (hcond : ¬ b s) :
big_step (stmt.while b S, s) s
infix ` ⟹ ` : 110 := big_step
/- ## Properties of the Big-Step Semantics
Equipped with a big-step semantics, we can
* prove properties of the programming language, such as **equivalence proofs**
between programs and **determinism**;
* reason about **concrete programs**, proving theorems relating final states `t`
with initial states `s`. -/
lemma big_step_deterministic {S s l r} (hl : (S, s) ⟹ l)
(hr : (S, s) ⟹ r) :
l = r :=
begin
induction' hl,
case skip {
cases' hr,
refl },
case assign {
cases' hr,
refl },
case seq : S T s t l hS hT ihS ihT {
cases' hr with _ _ _ _ _ _ _ t' _ hS' hT',
cases' ihS hS',
cases' ihT hT',
refl },
case ite_true : b S T s t hb hS ih {
cases' hr,
{ apply ih hr },
{ cc } },
case ite_false : b S T s t hb hT ih {
cases' hr,
{ cc },
{ apply ih hr } },
case while_true : b S s t u hb hS hw ihS ihw {
cases' hr,
{ cases' ihS hr,
cases' ihw hr_1,
refl },
{ cc } },
{ cases' hr,
{ cc },
{ refl } }
end
lemma big_step_terminates {S s} :
∃t, (S, s) ⟹ t :=
sorry -- unprovable
lemma big_step_doesnt_terminate {S s t} :
¬ (stmt.while (λ_, true) S, s) ⟹ t :=
begin
intro hw,
induction' hw,
case while_true {
assumption },
case while_false {
cc }
end
/- We can define inversion rules about the big-step semantics: -/
@[simp] lemma big_step_skip_iff {s t} :
(stmt.skip, s) ⟹ t ↔ t = s :=
begin
apply iff.intro,
{ intro h,
cases' h,
refl },
{ intro h,
rw h,
exact big_step.skip }
end
@[simp] lemma big_step_assign_iff {x a s t} :
(stmt.assign x a, s) ⟹ t ↔ t = s{x ↦ a s} :=
begin
apply iff.intro,
{ intro h,
cases' h,
refl },
{ intro h,
rw h,
exact big_step.assign }
end
@[simp] lemma big_step_seq_iff {S T s t} :
(S ;; T, s) ⟹ t ↔ (∃u, (S, s) ⟹ u ∧ (T, u) ⟹ t) :=
begin
apply iff.intro,
{ intro h,
cases' h,
apply exists.intro,
apply and.intro; assumption },
{ intro h,
cases' h,
cases' h,
apply big_step.seq; assumption }
end
@[simp] lemma big_step_ite_iff {b S T s t} :
(stmt.ite b S T, s) ⟹ t ↔
(b s ∧ (S, s) ⟹ t) ∨ (¬ b s ∧ (T, s) ⟹ t) :=
begin
apply iff.intro,
{ intro h,
cases' h,
{ apply or.intro_left,
cc },
{ apply or.intro_right,
cc } },
{ intro h,
cases' h; cases' h,
{ apply big_step.ite_true; assumption },
{ apply big_step.ite_false; assumption } }
end
lemma big_step_while_iff {b S s u} :
(stmt.while b S, s) ⟹ u ↔
(∃t, b s ∧ (S, s) ⟹ t ∧ (stmt.while b S, t) ⟹ u)
∨ (¬ b s ∧ u = s) :=
begin
apply iff.intro,
{ intro h,
cases' h,
{ apply or.intro_left,
apply exists.intro t,
cc },
{ apply or.intro_right,
cc } },
{ intro h,
cases' h,
case inl {
cases' h with t h,
cases' h with hb h,
cases' h with hS hwhile,
exact big_step.while_true hb hS hwhile },
case inr {
cases' h with hb hus,
rw hus,
exact big_step.while_false hb } }
end
lemma big_step_while_true_iff {b : state → Prop} {S s u}
(hcond : b s) :
(stmt.while b S, s) ⟹ u ↔
(∃t, (S, s) ⟹ t ∧ (stmt.while b S, t) ⟹ u) :=
by rw big_step_while_iff; simp [hcond]
@[simp] lemma big_step_while_false_iff {b : state → Prop}
{S s t} (hcond : ¬ b s) :
(stmt.while b S, s) ⟹ t ↔ t = s :=
by rw big_step_while_iff; simp [hcond]
/- ## Small-Step Semantics
A big-step semantics
* does not let us reason about intermediate states;
* does not let us express nontermination or interleaving (for multithreading).
__Small-step semantics__ (also called __structural operational semantics__)
solve the above issues.
A judgment has the form `(S, s) ⇒ (T, t)`:
Starting in a state `s`, executing one step of `S` leaves us in the
state `t`, with the program `T` remaining to be executed.
An execution is a finite or infinite chain `(S₀, s₀) ⇒ (S₁, s₁) ⇒ …`.
A pair `(S, s)` is called a __configuration__. It is __final__ if no transition
of the form `(S, s) ⇒ _` is possible.
Example:
`(x := x + y; y := 0, [x ↦ 3, y ↦ 5])`
`⇒ (skip; y := 0, [x ↦ 8, y ↦ 5])`
`⇒ (y := 0, [x ↦ 8, y ↦ 5])`
`⇒ (skip, [x ↦ 8, y ↦ 0])`
Derivation rules:
————————————————————————————————— Asn
(x := a, s) ⇒ (skip, s[x ↦ s(a)])
(S, s) ⇒ (S', s')
———-————————————————————— Seq-Step
(S ; T, s) ⇒ (S' ; T, s')
—————————————————————— Seq-Skip
(skip ; S, s) ⇒ (S, s)
———————————————————————————————— If-True if s(b) is true
(if b then S else T, s) ⇒ (S, s)
———————————————————————————————— If-False if s(b) is false
(if b then S else T, s) ⇒ (T, s)
——————————————————————————————————————————————————————————————— While
(while b do S, s) ⇒ (if b then (S ; while b do S) else skip, s)
There is no rule for `skip` (why?). -/
inductive small_step : stmt × state → stmt × state → Prop
| assign {x a s} :
small_step (stmt.assign x a, s) (stmt.skip, s{x ↦ a s})
| seq_step {S S' T s s'} (hS : small_step (S, s) (S', s')) :
small_step (S ;; T, s) (S' ;; T, s')
| seq_skip {T s} :
small_step (stmt.skip ;; T, s) (T, s)
| ite_true {b : state → Prop} {S T s} (hcond : b s) :
small_step (stmt.ite b S T, s) (S, s)
| ite_false {b : state → Prop} {S T s} (hcond : ¬ b s) :
small_step (stmt.ite b S T, s) (T, s)
| while {b : state → Prop} {S s} :
small_step (stmt.while b S, s)
(stmt.ite b (S ;; stmt.while b S) stmt.skip, s)
infixr ` ⇒ ` := small_step
infixr ` ⇒* ` : 100 := star small_step
/- Equipped with a small-step semantics, we can **define** a big-step
semantics:
`(S, s) ⟹ t` if and only if `(S, s) ⇒* (skip, t)`
where `r*` denotes the reflexive transitive closure of a relation `r`.
Alternatively, if we have already defined a big-step semantics, we can **prove**
the above equivalence theorem to validate our definitions.
The main disadvantage of small-step semantics is that we now have two relations,
`⇒` and `⇒*`, and reasoning tends to be more complicated.
## Properties of the Small-Step Semantics
We can prove that a configuration `(S, s)` is final if and only if `S = skip`.
This ensures that we have not forgotten a derivation rule. -/
lemma small_step_final (S s) :
(¬ ∃T t, (S, s) ⇒ (T, t)) ↔ S = stmt.skip :=
begin
induction' S,
case skip {
simp,
intros T t hstep,
cases' hstep },
case assign : x a {
simp,
apply exists.intro stmt.skip,
apply exists.intro (s{x ↦ a s}),
exact small_step.assign },
case seq : S T ihS ihT {
simp,
cases' classical.em (S = stmt.skip),
case inl {
rw h,
apply exists.intro T,
apply exists.intro s,
exact small_step.seq_skip },
case inr {
simp [h, auto.not_forall_eq, auto.not_not_eq] at ihS,
cases' ihS s with S' hS',
cases' hS' with s' hs',
apply exists.intro (S' ;; T),
apply exists.intro s',
exact small_step.seq_step hs' } },
case ite : b S T ihS ihT {
simp,
cases' classical.em (b s),
case inl {
apply exists.intro S,
apply exists.intro s,
exact small_step.ite_true h },
case inr {
apply exists.intro T,
apply exists.intro s,
exact small_step.ite_false h } },
case while : b S ih {
simp,
apply exists.intro (stmt.ite b (S ;; stmt.while b S) stmt.skip),
apply exists.intro s,
exact small_step.while }
end
lemma small_step_deterministic {S s Ll Rr}
(hl : (S, s) ⇒ Ll) (hr : (S, s) ⇒ Rr) :
Ll = Rr :=
begin
induction' hl,
case assign : x a s {
cases' hr,
refl },
case seq_step : S S₁ T s s₁ hS₁ ih {
cases' hr,
case seq_step : S S₂ _ _ s₂ hS₂ {
have hSs₁₂ := ih hS₂,
cc },
case seq_skip {
cases' hS₁ } },
case seq_skip : T s {
cases' hr,
{ cases' hr },
{ refl } },
case ite_true : b S T s hcond {
cases' hr,
case ite_true {
refl },
case ite_false {
cc } },
case ite_false : b S T s hcond {
cases' hr,
case ite_true {
cc },
case ite_false {
refl } },
case while : b S s {
cases' hr,
refl }
end
/- We can define inversion rules also about the small-step semantics. Here are
three examples: -/
lemma small_step_skip {S s t} :
¬ ((stmt.skip, s) ⇒ (S, t)) :=
by intro h; cases' h
@[simp] lemma small_step_seq_iff {S T s Ut} :
(S ;; T, s) ⇒ Ut ↔
(∃S' t, (S, s) ⇒ (S', t) ∧ Ut = (S' ;; T, t))
∨ (S = stmt.skip ∧ Ut = (T, s)) :=
begin
apply iff.intro,
{ intro h,
cases' h,
{ apply or.intro_left,
apply exists.intro S',
apply exists.intro s',
cc },
{ apply or.intro_right,
cc } },
{ intro h,
cases' h,
{ cases' h,
cases' h,
cases' h,
rw right,
apply small_step.seq_step,
assumption },
{ cases' h,
rw left,
rw right,
apply small_step.seq_skip } }
end
@[simp] lemma small_step_ite_iff {b S T s Us} :
(stmt.ite b S T, s) ⇒ Us ↔
(b s ∧ Us = (S, s)) ∨ (¬ b s ∧ Us = (T, s)) :=
begin
apply iff.intro,
{ intro h,
cases' h,
{ apply or.intro_left,
cc },
{ apply or.intro_right,
cc } },
{ intro h,
cases' h,
{ cases' h,
rw right,
apply small_step.ite_true,
assumption },
{ cases' h,
rw right,
apply small_step.ite_false,
assumption } }
end
/- ### Equivalence of the Big-Step and the Small-Step Semantics (**optional**)
A more important result is the connection between the big-step and the
small-step semantics:
`(S, s) ⟹ t ↔ (S, s) ⇒* (stmt.skip, t)`
Its proof, given below, is beyond the scope of this course. -/
lemma star_small_step_seq {S T s u}
(h : (S, s) ⇒* (stmt.skip, u)) :
(S ;; T, s) ⇒* (stmt.skip ;; T, u) :=
begin
apply star.lift (λSs, (prod.fst Ss ;; T, prod.snd Ss)) _ h,
intros Ss Ss' h,
cases' Ss,
cases' Ss',
apply small_step.seq_step,
assumption
end
lemma star_small_step_of_big_step {S s t} (h : (S, s) ⟹ t) :
(S, s) ⇒* (stmt.skip, t) :=
begin
induction' h,
case skip {
refl },
case assign {
exact star.single small_step.assign },
case seq : S T s t u hS hT ihS ihT {
transitivity,
exact star_small_step_seq ihS,
apply star.head small_step.seq_skip ihT },
case ite_true : b S T s t hs hst ih {
exact star.head (small_step.ite_true hs) ih },
case ite_false : b S T s t hs hst ih {
exact star.head (small_step.ite_false hs) ih },
case while_true : b S s t u hb hS hw ihS ihw {
exact (star.head small_step.while
(star.head (small_step.ite_true hb)
(star.trans (star_small_step_seq ihS)
(star.head small_step.seq_skip ihw)))) },
case while_false : b S s hb {
exact star.tail (star.single small_step.while)
(small_step.ite_false hb) }
end
lemma big_step_of_small_step_of_big_step {S₀ S₁ s₀ s₁ s₂}
(h₁ : (S₀, s₀) ⇒ (S₁, s₁)) :
(S₁, s₁) ⟹ s₂ → (S₀, s₀) ⟹ s₂ :=
begin
induction' h₁;
simp [*, big_step_while_true_iff] {contextual := tt},
case seq_step {
intros u hS' hT,
apply exists.intro u,
exact and.intro (ih hS') hT }
end
lemma big_step_of_star_small_step {S s t} :
(S, s) ⇒* (stmt.skip, t) → (S, s) ⟹ t :=
begin
generalize hSs : (S, s) = Ss,
intro h,
induction h
using LoVe.rtc.star.head_induction_on
with _ S's' h h' ih
generalizing S s;
cases' hSs,
{ exact big_step.skip },
{ cases' S's' with S' s',
apply big_step_of_small_step_of_big_step h,
apply ih,
refl }
end
lemma big_step_iff_star_small_step {S s t} :
(S, s) ⟹ t ↔ (S, s) ⇒* (stmt.skip, t) :=
iff.intro star_small_step_of_big_step
big_step_of_star_small_step
/- ## Parallelism (**optional**) -/
inductive par_step :
nat → list stmt × state → list stmt × state → Prop
| intro {Ss Ss' S S' s s' i}
(hi : i < list.length Ss)
(hS : S = list.nth_le Ss i hi)
(hs : (S, s) ⇒ (S', s'))
(hS' : Ss' = list.update_nth Ss i S') :
par_step i (Ss, s) (Ss', s')
lemma par_step_diamond {i j Ss Ts Ts' s t t'}
(hi : i < list.length Ss)
(hj : j < list.length Ss)
(hij : i ≠ j)
(hT : par_step i (Ss, s) (Ts, t))
(hT' : par_step j (Ss, s) (Ts', t')) :
∃u Us, par_step j (Ts, t) (Us, u) ∧
par_step i (Ts', t') (Us, u) :=
sorry -- unprovable
def stmt.W : stmt → set string
| stmt.skip := ∅
| (stmt.assign x _) := {x}
| (stmt.seq S T) := stmt.W S ∪ stmt.W T
| (stmt.ite _ S T) := stmt.W S ∪ stmt.W T
| (stmt.while _ S) := stmt.W S
def exp.R {α : Type} : (state → α) → set string
| f := {x | ∀s n, f (s{x ↦ n}) ≠ f s}
def stmt.R : stmt → set string
| stmt.skip := ∅
| (stmt.assign _ a) := exp.R a
| (stmt.seq S T) := stmt.R S ∪ stmt.R T
| (stmt.ite b S T) := exp.R b ∪ stmt.R S ∪ stmt.R T
| (stmt.while b S) := exp.R b ∪ stmt.R S
def stmt.V : stmt → set string
| S := stmt.W S ∪ stmt.R S
lemma par_step_diamond_VW_disjoint {i j Ss Ts Ts' s t t'}
(hiS : i < list.length Ss)
(hjT : j < list.length Ts)
(hij : i ≠ j)
(hT : par_step i (Ss, s) (Ts, t))
(hT' : par_step j (Ss, s) (Ts', t'))
(hWV : stmt.W (list.nth_le Ss i hiS)
∩ stmt.V (list.nth_le Ts j hjT) = ∅)
(hVW : stmt.V (list.nth_le Ss i hiS)
∩ stmt.W (list.nth_le Ts j hjT) = ∅) :
∃u Us, par_step j (Ts, t) (Us, u) ∧
par_step i (Ts', t') (Us, u) :=
sorry -- this should be provable
end LoVe
|
39b63c5d192af3dfef944146c5b9e844dfeb72b2 | 75db7e3219bba2fbf41bf5b905f34fcb3c6ca3f2 | /library/data/int/order.lean | b2b8283141ce3aa3760a59d33ad6db60c91ff786 | [
"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 | 17,708 | lean | /-
Copyright (c) 2014 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Jeremy Avigad
The order relation on the integers. We show that int is an instance of linear_comm_ordered_ring
and transfer the results.
-/
import .basic algebra.ordered_ring
open nat
open decidable
open int eq.ops
namespace int
private definition nonneg (a : ℤ) : Prop := int.cases_on a (take n, true) (take n, false)
protected definition le (a b : ℤ) : Prop := nonneg (b - a)
definition int_has_le [instance] [reducible] [priority int.prio]: has_le int :=
has_le.mk int.le
protected definition lt (a b : ℤ) : Prop := (a + 1) ≤ b
definition int_has_lt [instance] [reducible] [priority int.prio]: has_lt int :=
has_lt.mk int.lt
local attribute nonneg [reducible]
private definition decidable_nonneg [instance] (a : ℤ) : decidable (nonneg a) := int.cases_on a _ _
definition decidable_le [instance] (a b : ℤ) : decidable (a ≤ b) := decidable_nonneg _
definition decidable_lt [instance] (a b : ℤ) : decidable (a < b) := decidable_nonneg _
private theorem nonneg.elim {a : ℤ} : nonneg a → ∃n : ℕ, a = n :=
int.cases_on a (take n H, exists.intro n rfl) (take n', false.elim)
private theorem nonneg_or_nonneg_neg (a : ℤ) : nonneg a ∨ nonneg (-a) :=
int.cases_on a (take n, or.inl trivial) (take n, or.inr trivial)
theorem le.intro {a b : ℤ} {n : ℕ} (H : a + n = b) : a ≤ b :=
have n = b - a, from eq_add_neg_of_add_eq (begin rewrite [add.comm, H] end), -- !add.comm ▸ H),
show nonneg (b - a), from this ▸ trivial
theorem le.elim {a b : ℤ} (H : a ≤ b) : ∃n : ℕ, a + n = b :=
obtain (n : ℕ) (H1 : b - a = n), from nonneg.elim H,
exists.intro n (!add.comm ▸ iff.mpr !add_eq_iff_eq_add_neg (H1⁻¹))
protected theorem le_total (a b : ℤ) : a ≤ b ∨ b ≤ a :=
or.imp_right
(assume H : nonneg (-(b - a)),
have -(b - a) = a - b, from !neg_sub,
show nonneg (a - b), from this ▸ H)
(nonneg_or_nonneg_neg (b - a))
theorem of_nat_le_of_nat_of_le {m n : ℕ} (H : #nat m ≤ n) : of_nat m ≤ of_nat n :=
obtain (k : ℕ) (Hk : m + k = n), from nat.le.elim H,
le.intro (Hk ▸ (of_nat_add m k)⁻¹)
theorem le_of_of_nat_le_of_nat {m n : ℕ} (H : of_nat m ≤ of_nat n) : (#nat m ≤ n) :=
obtain (k : ℕ) (Hk : of_nat m + of_nat k = of_nat n), from le.elim H,
have m + k = n, from of_nat.inj (of_nat_add m k ⬝ Hk),
nat.le.intro this
theorem of_nat_le_of_nat_iff (m n : ℕ) : of_nat m ≤ of_nat n ↔ m ≤ n :=
iff.intro le_of_of_nat_le_of_nat of_nat_le_of_nat_of_le
theorem lt_add_succ (a : ℤ) (n : ℕ) : a < a + succ n :=
le.intro (show a + 1 + n = a + succ n, from
calc
a + 1 + n = a + (1 + n) : add.assoc
... = a + (n + 1) : by rewrite (int.add_comm 1 n)
... = a + succ n : rfl)
theorem lt.intro {a b : ℤ} {n : ℕ} (H : a + succ n = b) : a < b :=
H ▸ lt_add_succ a n
theorem lt.elim {a b : ℤ} (H : a < b) : ∃n : ℕ, a + succ n = b :=
obtain (n : ℕ) (Hn : a + 1 + n = b), from le.elim H,
have a + succ n = b, from
calc
a + succ n = a + 1 + n : by rewrite [add.assoc, int.add_comm 1 n]
... = b : Hn,
exists.intro n this
theorem of_nat_lt_of_nat_iff (n m : ℕ) : of_nat n < of_nat m ↔ n < m :=
calc
of_nat n < of_nat m ↔ of_nat n + 1 ≤ of_nat m : iff.refl
... ↔ of_nat (nat.succ n) ≤ of_nat m : of_nat_succ n ▸ !iff.refl
... ↔ nat.succ n ≤ m : of_nat_le_of_nat_iff
... ↔ n < m : iff.symm (lt_iff_succ_le _ _)
theorem lt_of_of_nat_lt_of_nat {m n : ℕ} (H : of_nat m < of_nat n) : #nat m < n :=
iff.mp !of_nat_lt_of_nat_iff H
theorem of_nat_lt_of_nat_of_lt {m n : ℕ} (H : #nat m < n) : of_nat m < of_nat n :=
iff.mpr !of_nat_lt_of_nat_iff H
/- show that the integers form an ordered additive group -/
protected theorem le_refl (a : ℤ) : a ≤ a :=
le.intro (add_zero a)
protected theorem le_trans {a b c : ℤ} (H1 : a ≤ b) (H2 : b ≤ c) : a ≤ c :=
obtain (n : ℕ) (Hn : a + n = b), from le.elim H1,
obtain (m : ℕ) (Hm : b + m = c), from le.elim H2,
have a + of_nat (n + m) = c, from
calc
a + of_nat (n + m) = a + (of_nat n + m) : {of_nat_add n m}
... = a + n + m : (add.assoc a n m)⁻¹
... = b + m : {Hn}
... = c : Hm,
le.intro this
protected theorem le_antisymm : ∀ {a b : ℤ}, a ≤ b → b ≤ a → a = b :=
take a b : ℤ, assume (H₁ : a ≤ b) (H₂ : b ≤ a),
obtain (n : ℕ) (Hn : a + n = b), from le.elim H₁,
obtain (m : ℕ) (Hm : b + m = a), from le.elim H₂,
have a + of_nat (n + m) = a + 0, from
calc
a + of_nat (n + m) = a + (of_nat n + m) : by rewrite of_nat_add
... = a + n + m : by rewrite add.assoc
... = b + m : by rewrite Hn
... = a : by rewrite Hm
... = a + 0 : by rewrite add_zero,
have of_nat (n + m) = of_nat 0, from add.left_cancel this,
have n + m = 0, from of_nat.inj this,
assert n = 0, from nat.eq_zero_of_add_eq_zero_right this,
show a = b, from
calc
a = a + 0 : add_zero
... = a + n : by rewrite this
... = b : Hn
protected theorem lt_irrefl (a : ℤ) : ¬ a < a :=
(suppose a < a,
obtain (n : ℕ) (Hn : a + succ n = a), from lt.elim this,
have a + succ n = a + 0, from
Hn ⬝ !add_zero⁻¹,
!succ_ne_zero (of_nat.inj (add.left_cancel this)))
protected theorem ne_of_lt {a b : ℤ} (H : a < b) : a ≠ b :=
(suppose a = b, absurd (this ▸ H) (int.lt_irrefl b))
theorem le_of_lt {a b : ℤ} (H : a < b) : a ≤ b :=
obtain (n : ℕ) (Hn : a + succ n = b), from lt.elim H,
le.intro Hn
protected theorem lt_iff_le_and_ne (a b : ℤ) : a < b ↔ (a ≤ b ∧ a ≠ b) :=
iff.intro
(assume H, and.intro (le_of_lt H) (int.ne_of_lt H))
(assume H,
have a ≤ b, from and.elim_left H,
have a ≠ b, from and.elim_right H,
obtain (n : ℕ) (Hn : a + n = b), from le.elim `a ≤ b`,
have n ≠ 0, from (assume H' : n = 0, `a ≠ b` (!add_zero ▸ H' ▸ Hn)),
obtain (k : ℕ) (Hk : n = nat.succ k), from nat.exists_eq_succ_of_ne_zero this,
lt.intro (Hk ▸ Hn))
protected theorem le_iff_lt_or_eq (a b : ℤ) : a ≤ b ↔ (a < b ∨ a = b) :=
iff.intro
(assume H,
by_cases
(suppose a = b, or.inr this)
(suppose a ≠ b,
obtain (n : ℕ) (Hn : a + n = b), from le.elim H,
have n ≠ 0, from (assume H' : n = 0, `a ≠ b` (!add_zero ▸ H' ▸ Hn)),
obtain (k : ℕ) (Hk : n = nat.succ k), from nat.exists_eq_succ_of_ne_zero this,
or.inl (lt.intro (Hk ▸ Hn))))
(assume H,
or.elim H
(assume H1, le_of_lt H1)
(assume H1, H1 ▸ !int.le_refl))
theorem lt_succ (a : ℤ) : a < a + 1 :=
int.le_refl (a + 1)
protected theorem add_le_add_left {a b : ℤ} (H : a ≤ b) (c : ℤ) : c + a ≤ c + b :=
obtain (n : ℕ) (Hn : a + n = b), from le.elim H,
have H2 : c + a + n = c + b, from
calc
c + a + n = c + (a + n) : add.assoc c a n
... = c + b : {Hn},
le.intro H2
protected theorem add_lt_add_left {a b : ℤ} (H : a < b) (c : ℤ) : c + a < c + b :=
let H' := le_of_lt H in
(iff.mpr (int.lt_iff_le_and_ne _ _)) (and.intro (int.add_le_add_left H' _)
(take Heq, let Heq' := add_left_cancel Heq in
!int.lt_irrefl (Heq' ▸ H)))
protected theorem mul_nonneg {a b : ℤ} (Ha : 0 ≤ a) (Hb : 0 ≤ b) : 0 ≤ a * b :=
obtain (n : ℕ) (Hn : 0 + n = a), from le.elim Ha,
obtain (m : ℕ) (Hm : 0 + m = b), from le.elim Hb,
le.intro
(eq.symm
(calc
a * b = (0 + n) * b : by rewrite Hn
... = n * b : by rewrite zero_add
... = n * (0 + m) : by rewrite Hm
... = n * m : by rewrite zero_add
... = 0 + n * m : by rewrite zero_add))
protected theorem mul_pos {a b : ℤ} (Ha : 0 < a) (Hb : 0 < b) : 0 < a * b :=
obtain (n : ℕ) (Hn : 0 + nat.succ n = a), from lt.elim Ha,
obtain (m : ℕ) (Hm : 0 + nat.succ m = b), from lt.elim Hb,
lt.intro
(eq.symm
(calc
a * b = (0 + nat.succ n) * b : by rewrite Hn
... = nat.succ n * b : by rewrite zero_add
... = nat.succ n * (0 + nat.succ m) : by rewrite Hm
... = nat.succ n * nat.succ m : by rewrite zero_add
... = of_nat (nat.succ n * nat.succ m) : by rewrite of_nat_mul
... = of_nat (nat.succ n * m + nat.succ n) : by rewrite nat.mul_succ
... = of_nat (nat.succ (nat.succ n * m + n)) : by rewrite nat.add_succ
... = 0 + nat.succ (nat.succ n * m + n) : by rewrite zero_add))
protected theorem zero_lt_one : (0 : ℤ) < 1 := trivial
protected theorem not_le_of_gt {a b : ℤ} (H : a < b) : ¬ b ≤ a :=
assume Hba,
let Heq := int.le_antisymm (le_of_lt H) Hba in
!int.lt_irrefl (Heq ▸ H)
protected theorem lt_of_lt_of_le {a b c : ℤ} (Hab : a < b) (Hbc : b ≤ c) : a < c :=
let Hab' := le_of_lt Hab in
let Hac := int.le_trans Hab' Hbc in
(iff.mpr !int.lt_iff_le_and_ne) (and.intro Hac
(assume Heq, int.not_le_of_gt (Heq ▸ Hab) Hbc))
protected theorem lt_of_le_of_lt {a b c : ℤ} (Hab : a ≤ b) (Hbc : b < c) : a < c :=
let Hbc' := le_of_lt Hbc in
let Hac := int.le_trans Hab Hbc' in
(iff.mpr !int.lt_iff_le_and_ne) (and.intro Hac
(assume Heq, int.not_le_of_gt (Heq⁻¹ ▸ Hbc) Hab))
protected definition linear_ordered_comm_ring [reducible] [trans_instance] :
linear_ordered_comm_ring int :=
⦃linear_ordered_comm_ring, int.integral_domain,
le := int.le,
le_refl := int.le_refl,
le_trans := @int.le_trans,
le_antisymm := @int.le_antisymm,
lt := int.lt,
le_of_lt := @int.le_of_lt,
lt_irrefl := int.lt_irrefl,
lt_of_lt_of_le := @int.lt_of_lt_of_le,
lt_of_le_of_lt := @int.lt_of_le_of_lt,
add_le_add_left := @int.add_le_add_left,
mul_nonneg := @int.mul_nonneg,
mul_pos := @int.mul_pos,
le_iff_lt_or_eq := int.le_iff_lt_or_eq,
le_total := int.le_total,
zero_ne_one := int.zero_ne_one,
zero_lt_one := int.zero_lt_one,
add_lt_add_left := @int.add_lt_add_left⦄
protected definition decidable_linear_ordered_comm_ring [reducible] [instance] :
decidable_linear_ordered_comm_ring int :=
⦃decidable_linear_ordered_comm_ring,
int.linear_ordered_comm_ring,
decidable_lt := decidable_lt⦄
/- more facts specific to int -/
theorem of_nat_nonneg (n : ℕ) : 0 ≤ of_nat n := trivial
theorem of_nat_pos {n : ℕ} (Hpos : #nat n > 0) : of_nat n > 0 :=
of_nat_lt_of_nat_of_lt Hpos
theorem of_nat_succ_pos (n : nat) : of_nat (nat.succ n) > 0 :=
of_nat_pos !nat.succ_pos
theorem exists_eq_of_nat {a : ℤ} (H : 0 ≤ a) : ∃n : ℕ, a = of_nat n :=
obtain (n : ℕ) (H1 : 0 + of_nat n = a), from le.elim H,
exists.intro n (!zero_add ▸ (H1⁻¹))
theorem exists_eq_neg_of_nat {a : ℤ} (H : a ≤ 0) : ∃n : ℕ, a = -(of_nat n) :=
have -a ≥ 0, from iff.mpr !neg_nonneg_iff_nonpos H,
obtain (n : ℕ) (Hn : -a = of_nat n), from exists_eq_of_nat this,
exists.intro n (eq_neg_of_eq_neg (Hn⁻¹))
theorem of_nat_nat_abs_of_nonneg {a : ℤ} (H : a ≥ 0) : of_nat (nat_abs a) = a :=
obtain (n : ℕ) (Hn : a = of_nat n), from exists_eq_of_nat H,
Hn⁻¹ ▸ congr_arg of_nat (nat_abs_of_nat n)
theorem of_nat_nat_abs_of_nonpos {a : ℤ} (H : a ≤ 0) : of_nat (nat_abs a) = -a :=
have -a ≥ 0, from iff.mpr !neg_nonneg_iff_nonpos H,
calc
of_nat (nat_abs a) = of_nat (nat_abs (-a)) : nat_abs_neg
... = -a : of_nat_nat_abs_of_nonneg this
theorem of_nat_nat_abs (b : ℤ) : nat_abs b = abs b :=
or.elim (le.total 0 b)
(assume H : b ≥ 0, of_nat_nat_abs_of_nonneg H ⬝ (abs_of_nonneg H)⁻¹)
(assume H : b ≤ 0, of_nat_nat_abs_of_nonpos H ⬝ (abs_of_nonpos H)⁻¹)
theorem nat_abs_abs (a : ℤ) : nat_abs (abs a) = nat_abs a :=
abs.by_cases rfl !nat_abs_neg
theorem lt_of_add_one_le {a b : ℤ} (H : a + 1 ≤ b) : a < b :=
obtain (n : nat) (H1 : a + 1 + n = b), from le.elim H,
have a + succ n = b, by rewrite [-H1, add.assoc, add.comm 1],
lt.intro this
theorem add_one_le_of_lt {a b : ℤ} (H : a < b) : a + 1 ≤ b :=
obtain (n : nat) (H1 : a + succ n = b), from lt.elim H,
have a + 1 + n = b, by rewrite [-H1, add.assoc, add.comm 1],
le.intro this
theorem lt_add_one_of_le {a b : ℤ} (H : a ≤ b) : a < b + 1 :=
lt_add_of_le_of_pos H trivial
theorem le_of_lt_add_one {a b : ℤ} (H : a < b + 1) : a ≤ b :=
have H1 : a + 1 ≤ b + 1, from add_one_le_of_lt H,
le_of_add_le_add_right H1
theorem sub_one_le_of_lt {a b : ℤ} (H : a ≤ b) : a - 1 < b :=
lt_of_add_one_le (begin rewrite sub_add_cancel, exact H end)
theorem lt_of_sub_one_le {a b : ℤ} (H : a - 1 < b) : a ≤ b :=
!sub_add_cancel ▸ add_one_le_of_lt H
theorem le_sub_one_of_lt {a b : ℤ} (H : a < b) : a ≤ b - 1 :=
le_of_lt_add_one begin rewrite sub_add_cancel, exact H end
theorem lt_of_le_sub_one {a b : ℤ} (H : a ≤ b - 1) : a < b :=
!sub_add_cancel ▸ (lt_add_one_of_le H)
theorem sign_of_succ (n : nat) : sign (nat.succ n) = 1 :=
sign_of_pos (of_nat_pos !nat.succ_pos)
theorem exists_eq_neg_succ_of_nat {a : ℤ} : a < 0 → ∃m : ℕ, a = -[1+m] :=
int.cases_on a
(take (m : nat) H, absurd (of_nat_nonneg m : 0 ≤ m) (not_le_of_gt H))
(take (m : nat) H, exists.intro m rfl)
theorem eq_one_of_mul_eq_one_right {a b : ℤ} (H : a ≥ 0) (H' : a * b = 1) : a = 1 :=
have a * b > 0, by rewrite H'; apply trivial,
have b > 0, from pos_of_mul_pos_left this H,
have a > 0, from pos_of_mul_pos_right `a * b > 0` (le_of_lt `b > 0`),
or.elim (le_or_gt a 1)
(suppose a ≤ 1,
show a = 1, from le.antisymm this (add_one_le_of_lt `a > 0`))
(suppose a > 1,
assert a * b ≥ 2 * 1,
from mul_le_mul (add_one_le_of_lt `a > 1`) (add_one_le_of_lt `b > 0`) trivial H,
have false, by rewrite [H' at this]; exact this,
false.elim this)
theorem eq_one_of_mul_eq_one_left {a b : ℤ} (H : b ≥ 0) (H' : a * b = 1) : b = 1 :=
eq_one_of_mul_eq_one_right H (!mul.comm ▸ H')
theorem eq_one_of_mul_eq_self_left {a b : ℤ} (Hpos : a ≠ 0) (H : b * a = a) : b = 1 :=
eq_of_mul_eq_mul_right Hpos (H ⬝ (one_mul a)⁻¹)
theorem eq_one_of_mul_eq_self_right {a b : ℤ} (Hpos : b ≠ 0) (H : b * a = b) : a = 1 :=
eq_one_of_mul_eq_self_left Hpos (!mul.comm ▸ H)
theorem eq_one_of_dvd_one {a : ℤ} (H : a ≥ 0) (H' : a ∣ 1) : a = 1 :=
dvd.elim H'
(take b,
suppose 1 = a * b,
eq_one_of_mul_eq_one_right H this⁻¹)
theorem exists_least_of_bdd {P : ℤ → Prop} [HP : decidable_pred P]
(Hbdd : ∃ b : ℤ, ∀ z : ℤ, z ≤ b → ¬ P z)
(Hinh : ∃ z : ℤ, P z) : ∃ lb : ℤ, P lb ∧ (∀ z : ℤ, z < lb → ¬ P z) :=
begin
cases Hbdd with [b, Hb],
cases Hinh with [elt, Helt],
existsi b + of_nat (least (λ n, P (b + of_nat n)) (nat.succ (nat_abs (elt - b)))),
have Heltb : elt > b, begin
apply lt_of_not_ge,
intro Hge,
apply (Hb _ Hge) Helt
end,
have H' : P (b + of_nat (nat_abs (elt - b))), begin
rewrite [of_nat_nat_abs_of_nonneg (int.le_of_lt (iff.mpr !sub_pos_iff_lt Heltb)),
add.comm, sub_add_cancel],
apply Helt
end,
apply and.intro,
apply least_of_lt _ !lt_succ_self H',
intros z Hz,
cases em (z ≤ b) with [Hzb, Hzb],
apply Hb _ Hzb,
let Hzb' := lt_of_not_ge Hzb,
let Hpos := iff.mpr !sub_pos_iff_lt Hzb',
have Hzbk : z = b + of_nat (nat_abs (z - b)),
by rewrite [of_nat_nat_abs_of_nonneg (int.le_of_lt Hpos), int.add_comm, sub_add_cancel],
have Hk : nat_abs (z - b) < least (λ n, P (b + of_nat n)) (nat.succ (nat_abs (elt - b))), begin
note Hz' := iff.mp !lt_add_iff_sub_lt_left Hz,
rewrite [-of_nat_nat_abs_of_nonneg (int.le_of_lt Hpos) at Hz'],
apply lt_of_of_nat_lt_of_nat Hz'
end,
let Hk' := not_le_of_gt Hk,
rewrite Hzbk,
apply λ p, mt (ge_least_of_lt _ p) Hk',
apply nat.lt_trans Hk,
apply least_lt _ !lt_succ_self H'
end
theorem exists_greatest_of_bdd {P : ℤ → Prop} [HP : decidable_pred P]
(Hbdd : ∃ b : ℤ, ∀ z : ℤ, z ≥ b → ¬ P z)
(Hinh : ∃ z : ℤ, P z) : ∃ ub : ℤ, P ub ∧ (∀ z : ℤ, z > ub → ¬ P z) :=
begin
cases Hbdd with [b, Hb],
cases Hinh with [elt, Helt],
existsi b - of_nat (least (λ n, P (b - of_nat n)) (nat.succ (nat_abs (b - elt)))),
have Heltb : elt < b, begin
apply lt_of_not_ge,
intro Hge,
apply (Hb _ Hge) Helt
end,
have H' : P (b - of_nat (nat_abs (b - elt))), begin
rewrite [of_nat_nat_abs_of_nonneg (int.le_of_lt (iff.mpr !sub_pos_iff_lt Heltb)),
sub_sub_self],
apply Helt
end,
apply and.intro,
apply least_of_lt _ !lt_succ_self H',
intros z Hz,
cases em (z ≥ b) with [Hzb, Hzb],
apply Hb _ Hzb,
let Hzb' := lt_of_not_ge Hzb,
let Hpos := iff.mpr !sub_pos_iff_lt Hzb',
have Hzbk : z = b - of_nat (nat_abs (b - z)),
by rewrite [of_nat_nat_abs_of_nonneg (int.le_of_lt Hpos), sub_sub_self],
have Hk : nat_abs (b - z) < least (λ n, P (b - of_nat n)) (nat.succ (nat_abs (b - elt))), begin
note Hz' := iff.mp !lt_add_iff_sub_lt_left (iff.mpr !lt_add_iff_sub_lt_right Hz),
rewrite [-of_nat_nat_abs_of_nonneg (int.le_of_lt Hpos) at Hz'],
apply lt_of_of_nat_lt_of_nat Hz'
end,
let Hk' := not_le_of_gt Hk,
rewrite Hzbk,
apply λ p, mt (ge_least_of_lt _ p) Hk',
apply nat.lt_trans Hk,
apply least_lt _ !lt_succ_self H'
end
end int
|
c5328f8645efb70b1a1c5d556aace9fd8b41f4c1 | 2bafba05c98c1107866b39609d15e849a4ca2bb8 | /src/week_3/Part_A_limits.lean | 7e38378ec55eeeda03b17b84bc0d4e6ad6a0fbb0 | [
"Apache-2.0"
] | permissive | ImperialCollegeLondon/formalising-mathematics | b54c83c94b5c315024ff09997fcd6b303892a749 | 7cf1d51c27e2038d2804561d63c74711924044a1 | refs/heads/master | 1,651,267,046,302 | 1,638,888,459,000 | 1,638,888,459,000 | 331,592,375 | 284 | 24 | Apache-2.0 | 1,669,593,705,000 | 1,611,224,849,000 | Lean | UTF-8 | Lean | false | false | 23,453 | lean | -- need the real numbers
import data.real.basic
-- need the tactics
import tactic
/-
# Limits
We develop a theory of limits of sequences a₀, a₁, a₂, … of reals,
following the way is it traditionally done in a first year undergraduate
mathematics course.
## Overview of the file
This file contains the basic definition of the limit of a sequence, and
proves basic properties about it.
The `data.real.basic` import imports the definition and basic
properties of the real numbers, including, for example,
the absolute value function `abs : ℝ → ℝ`, and the proof
that `ℝ` is a complete totally ordered archimedean field.
To get `ℝ` in Lean, type `\R`.
We define the predicate `is_limit (a : ℕ → ℝ) (l : ℝ)` to mean that `aₙ → l`
in the usual way:
`∀ ε > 0, ∃ N, ∀ n ≥ N, | a n - l | < ε`
We then develop the basic theory of limits.
## Main theorems
variables (a b c : ℕ → ℝ) (c l m : ℝ)
* `is_limit_const : is_limit (λ n, c) c`
* `is_limit_subsingleton (hl : is_limit a l) (hm : is_limit a m) : l = m`
* `is_limit_add (h1 : is_limit a l) (h2 : is_limit b m) : is_limit (a + b) (l + m)`
* `is_limit_mul (h1 : is_limit a l) (h2 : is_limit b m) : is_limit (a * b) (l * m)`
* `is_limit_le_of_le (hl : is_limit a l) (hm : is_limit b m) (hle : ∀ n, a n ≤ b n) : l ≤ m`
* `sandwich (ha : is_limit a l) (hc : is_limit c l)
(hab : ∀ n, a n ≤ b n) (hbc : ∀ n, b n ≤ c n) : is_limit b l`
-/
namespace xena
-- the maths starts here.
-- We introduce the usual mathematical notation for absolute value
local notation `|` x `|` := abs x
-- We model a sequence a₀, a₁, a₂,... of real numbers as a function
-- from ℕ := {0,1,2,...} to ℝ, sending n to aₙ . So in the below
-- definition of the limit of a sequence, a : ℕ → ℝ is the sequence.
/-- `l` is the limit of the sequence `a` of reals -/
definition is_limit (a : ℕ → ℝ) (l : ℝ) : Prop :=
∀ ε > 0, ∃ N, ∀ n ≥ N, | a n - l | < ε
/-
Note that `is_limit` is not a *function* (ℕ → ℝ) → ℝ! It is
a _binary relation_ on (ℕ → ℝ) and ℝ, i.e. it's a function which
takes as input a sequence and a candidate limit, and returns the
true-false statement saying that the sequence converges to the limit.
The reason we can't use a "limit" function, which takes in a sequence
and returns its limit, is twofold:
(1) some sequences (like 0, 1, 0, 1, 0, 1,…) don't have
a limit at all, and
(2) at this point in the development, some sequences might in theory have more
than one limit (and if we were working with a non-Hausdorff topological space
rather than `ℝ` this could of course actually happen, although we will see
below that it can't happen here).
-/
/-
Let's start with a warmup : the constant sequence with value c tends to c.
Before we start though, I need to talk about this weird `λ` notation
which functional programmers use.
### λ notation for functions
This is a lot less scary than it looks. The notation `λ n, f n`
in Lean just means what we mathematicians would call `f` or `f(x)`.
Literally, it means "the function sending `n` to `f n`, with this
added twist that we don't need to write the brackets (although `λ n, f(n)`
would also work fine). Another way of rewriting it in a more familiar
manner: `λ n, f n` is the function `n ↦ f n`. So, for example, `λ n, 2 * n`
is just the function `f(x)=2*x`. It's sometimes called "anonymous function notation"
because we do not need to introduce a name for the function if we use
lambda notation.
So you need to know a trick here. What happens if we have such a
function defined by lambda notation, and then we actually try to
evaluate it! You have to know how to change `(λ n, f n) (37)`
into `f(37)` (or, as Lean would call it, `f 37`). Computer scientists
call this transformation "beta reduction". In Lean, beta reduction is true
definitionally, so if you are using `apply` or `intro` or other
tactics which work up to definitional equality then you might not
even have to change it at all. But if your goal contains an "evaluated λ"
like `⊢ (λ n, f n) 37` and you have a hypothesis `h1 : f 37 = 100` then
`rw h1` will fail, because `rw` is pickier and only worked up to syntactic
equality. So you need to know the trick to change this goal to `f 37`,
which is the tactic `dsimp only`. It works on hypotheses too -- `dsimp only at h`
will remove an evaluated `λ` from hypothesis `h`.
We will now prove that the limit of a constant sequence `aₙ = c` is `c`.
The definition of the constant sequence is `λ n, c`, the function sending
every `n` to `c`. I have given you the proof. Step through it by moving your
cursor through it line by line and watch the tactic state changing.
-/
/-- The limit of a constant sequence is the constant. -/
lemma is_limit_const (c : ℝ) : is_limit (λ n, c) c :=
begin
-- is_limit a l is *by definition* "∀ ε, ε > 0 → ..." so we
-- can just start with `intros`.
intros ε εpos,
-- we need to come up with some N such that n ≥ N implies |c - c| < ε.
-- We have some flexibility here :-)
use 37,
-- Now assume n is a natural which is at least 37, but we may as
-- well just forget the fact that n ≥ 37 because we're not going to use it.
rintro n -,
-- Now we have an "unreduced lambda term" in the goal, so let's
-- beta reduce it.
dsimp only,
-- the simplifier is bound to know that `c - c = 0`
simp,
-- finally, `a > b` is *definitionally* `b < a`, and the `exact`
-- tactic works up to definitional equality.
exact εpos,
end
/-
I am going to walk you through the next proof as well. It's a proof
that if `aₙ → l` and `aₙ → m` then `l = m`. Here is how it is stated
in Lean:
```
theorem is_limit_subsingleton {a : ℕ → ℝ} {l m : ℝ} (hl : is_limit a l)
(hm : is_limit a m) : l = m := ...
```
Before we go through this proof, I think it's time I explained these
squiggly brackets properly. How come I've written `{a : ℕ → ℝ}`
and not `(a : ℕ → ℝ)`?
### Squiggly brackets {} in function inputs, and dependent functions.
`is_limit_subsingleton` is a proof that a sequence can have at most one limit.
It is also a function. Learning to think about proofs as functions is
an important skill for proving the theorems in this workshop. So let's
talk a bit about how a proof can be a function.
In Lean's dependent type theory, there are types and terms, and every term has
a unique type. Types and terms are used to unify two ideas which mathematicians
usually regard as completely different: that of sets and elements,
and that of theorems and proofs. Let's take a close look at what exactly this
function `is_limit_subsingleton` does.
Let's take a closer look at `is_limit_subsingleton` (the theorem is stated
20 lines above here). It is a function with five inputs. The first input
is a sequence `a : ℕ → ℝ`. The second and third are real numbers `l` and `m`.
The fourth input is a proof that `a(n)` tends to `l`, and the fifth is a proof that
`a(n)` tends to `m`. The output of the function (after the colon) is a proof
that `l = m`. This is how Lean thinks about proofs internally, and it's
important that you internalise this point of view because you will be treating
proofs as functions and evaluating them on inputs to get other proofs
quite a bit today. If you still think it's a bit weird having proofs as inputs
and outputs to functions, just think of a true-false statement (e.g. a theorem
statement) as being a set, and the elements of that set are the proofs of
the theorem. For example `2 + 2 = 5` is a set with no elements, because
there are no proofs of this theorem (assuming that mathematics is consistent).
Now if you think about these inputs carefully, and you think about your mental
model of a function, you may realised that there is something else a bit fishy
going on here. Usually you would think of a function with five inputs
as a function from `A × B × C × D × E` to `X`, where `A`, `B`, `C`, `D` and `E`
are all sets. The first three inputs `a` (of type `ℕ → ℝ`) and `l` and `m`
(of type `ℝ`) are uncontroversial: we can just set `A = ℕ → ℝ` and `B = C = ℝ`.
But the fourth input to `is_limit_singleton` is an element
of the set of proofs of `is_limit a l`, the statement that `a(n)` tends to `l`,
and in particular this set itself *depends on the first two inputs*.
The set `D` itself is a function of `a` and `l` -- the actual inputs themselves,
rather than the sets `A` and `B` that they belong to. The same is true
for the set `E`, which is a function of `a` and `m`. This slightly bizarre
set-up has the even more bizarre consequence that actually, if Lean knows the
fourth and fifth inputs (in this case, proofs of `is_limit a l` and `is_limit a m`)
then it *does not actually even need to know what the first three inputs are*,
because Lean can work them out from the *type* of the fourth and fifth inputs.
In summary then, the five inputs to this functions are:
`a` of type `ℕ → ℝ`,
`l` and `m` of type `ℝ`,
`h1` of type `is_limit a l`
`h2` of type `is_limit a m`.
In particular, if we know the fourth and fifth inputs `h1` and `h2`,
then by looking at the types of these terms, we can actually work out
what the first three inputs *have to be* in order to make everything make sense.
This is why we put the first three inputs in `{}` brackets. This means
"these inputs are part of the function, but Lean's *unification system*
(the part of the system which checks that everything has the right type)
will work them out automatically, so we will not trouble the user by
asking for them". In short, if we ever run this function of five inputs,
we can just give `h1` and `h2` and let Lean figure out the first three
inputs itself. In general if a function input has `{}` brackets then
the user does not have to supply those inputs, the user can trust the
system to fill them in automatically.
That's quite enough about the statement! Let's get back to mathematics
and I will talk you through the proof. Step through the proof line
by line and watch the tactic state change.
-/
theorem is_limit_subsingleton {a : ℕ → ℝ} {l m : ℝ} (hl : is_limit a l)
(hm : is_limit a m) : l = m :=
begin
-- There are several ways to prove this, but let's prove it
-- by contradiction. Let's assume `h : l ≠ m` and prove `false`.
by_contra h,
-- The idea is that if `ε = |l - m|` then the sequence `a` will
-- eventually be within `ε/2` of `l` and `ε/2` of `m`, which
-- will be a contradiction. To make life easier let's break
-- the symmetry and assume WLOG that `l < m`, because then
-- we can just let `ε` be `m - l`.
wlog hlm : l < m,
-- Lean checks that everything is symmetric in `l` and `m` so
-- this tactic succeeds, but asks us to prove that either
-- `l < m` or `m < l`. We now have two goals so let's
-- put a `{` `}` pair to get back to one goal.
{ -- now we just have the one easy goal `l < m ∨ m < l`.
-- First we note that the reals are totally ordered so
-- we can add `l < m ∨ l = m ∨ m < l` to the list of
-- hypotheses with the `have` tactic:
have : l < m ∨ l = m ∨ m < l := lt_trichotomy l m,
-- Now the result follows from pure logic.
tauto },
-- Now let's define ε to be m - l.
set ε := m - l with hε,
-- Mathematically, the plan is to now find big natural numbers `L` and `M`
-- such that `n ≥ L → |a n - l| < ε/2`, and `n ≥ M → |a n - m| < ε/2`,
-- and then set `n = max L M` to get a contradiction. How do we do this
-- in Lean?
-- Well, let's think about `hl` as a function. Its type is
-- `is_limit a l` which is definitionally `∀ ε, ε > 0 → ...`.
-- So `hl` is a function which wants as an input a real number
-- and a proof that it is positive. Let's first give `hl` the
-- real number `ε/2` once and for all (it's the only time we'll
-- be using `hl` in the proof so we can change its definition)
specialize hl (ε/2),
-- Now `hl` is a function which wants a proof by `ε/2>0` as its input.
-- Mathematically, this is obvious: `ε/2=(m-l)/2` and `l < m`.
-- Lean's `linarith` (linear arithmetic) tactic can solve this sort of goal:
have hε2 : ε/2 > 0 := by linarith,
-- Now we can specialize `hl` further:
specialize hl hε2,
-- Now `hl` isn't a function any more. In the lingo, it's an inductive
-- type rather than a pi type.
-- `hl : ∃ (N : ℕ), ∀ (n : ℕ), n ≥ N → |a n - l| < ε / 2`
-- `hl` is now a made from a pair of pieces of information: first a natural
-- number `N`, and second a proof of some fact about `N`. We can take
-- `hl` apart into these two pieces with the `cases` tactic:
cases hl with L hL,
-- Now `L` is the natural and `hL` is a proof of a theorem about it:
-- `hL : ∀ (n : ℕ), n ≥ L → |a n - l| < ε / 2`
-- We now need to do the same thing with `hm`. Let's just do it all in one
-- go. Check that you understand why this one line does the same sort of thing
-- as the four lines above.
cases hm (ε/2) (by linarith) with M hM,
-- Now let's get back to the maths proof. Let N be the max of L and M.
set N := max L M with hN,
-- Let's record here the fact that `L ≤ N` and `M ≤ N`. I found
-- these proofs by using `library_search` and then clicking on "Try this!".
-- For example
-- `have hLN : L ≤ N := by library_search`,
have hLN : L ≤ N := le_max_left L M,
have hMN : M ≤ N := le_max_right L M,
-- We're going to set `n = N` in `hL` and `hM`. Again I'm thinking
-- of these things as functions.
specialize hL N hLN,
specialize hM N hMN,
-- It looks like we should be done now: everything should follow
-- now from chasing inequalities. We need to give Lean one more hint
-- though, because `linarith` doesn't know anything about the `abs` function;
-- we need to know that |x|<ε/2 is the same as `-ε/2 < x ∧ x < ε/2`.
-- This theorem is called `abs_lt` ("absolute value is less than").
rw abs_lt at hL hM,
-- As a challenge, can you now look at the tactic state and finish the proof
-- on paper? Lean's `linarith` tactic can see its way through the inequality
-- maze. Let's finish this proof and talk about `linarith` and another
-- high-powered tactic, `ring`.
linarith,
end
/-
Two quick comments on some other new things in the above proof:
1) We will be using `max` a lot in this workshop. `max A B` is
the max of `A` and `B`. `max` is a definition, not a theorem, so
that means that there will be an API associated with it, i.e.
a list of little theorems which make `max` possible to use.
We just saw the two important theorems which we'll be using:
`le_max_left A B : A ≤ max A B` and
`le_max-right A B : B ≤ max A B`.
There are other cool functions in the `max` API, for example
`max_le : A ≤ C → B ≤ C → max A B ≤ C`. The easiest way to
find your way around the `max` API is to *guess* what the names
of the theorems are! For example what do you think
`max A B < C ↔ A < C ∧ B < C` is called?
If you can't work it out, then cheat by running
```
example (A B C : ℝ) : max A B < C ↔ A < C ∧ B < C :=
begin
library_search
end
```
2) `specialize` is a tactic which changes a function by fixing once and
for all the first inputs. For example, say `f : A → B → C → D` is a function.
Because `→` is right associative in Lean, `f` is a function which wants
an input from `A`, and then spits out a function which wants an input
from `B`, and spits out a function which wants an input from `C` and
spits out an element of `D`. So really it's just a function which takes
three inputs, one from `A`, one from `B` and one from `C`, and spits
out something in `D`. This is what computer scientists call "currying".
Now say I have `a : A` and I want this to be my first input to `f`, and I never
want to run `f` again with any other inputs from `A`. Then
`specialize f a`
will feed `a` into `f` and then rename `f` to be the resulting new
function `B → C → D`.
-/
-- Before we go on, I need to explain two more high-powered tactics.
/-
## `linarith` and `ring`
`linarith` and `ring` are two high-powered tactics. It's important
to know their "scope".
### `ring`
Let's start with `ring`. The `ring` tactic
will prove any goal which can be deduced from the axioms of
a commutative ring (or even a commutative semiring like `ℕ`). For
example if `(x y : ℝ)` and the goal is `(x+y)^3=x^3+3*x^2*y+3*x*y^2+y^3`
then `ring` will close this goal. In the proof of `is_limit_add`
below in my solutions file, I use `ring` to prove
`a n + b n - (l + m) = (a n - l) + (b n - m)` and to prove `ε/2 + ε/2 = ε`.
Note that `ring` will get confused if it sees `λ` terms and so on, it
works up to syntactic equality. `ring` wants to see a clean statement
about elements of a ring involving only `+`, `-` and `*`. Note also that
`ring` does not look at hypotheses -- it works on the goal only.
So for example `ring` will not solve this goal directly:
```
a b c : ℝ
ha : a = b + c
⊢ 2 * a = b + b + c + c
```
To solve this goal you need to do `rw ha` and then `ring`.
### `linarith`
`linarith` solves linear inequalities. For example it will solve this goal:
```
a b c : ℝ
hab : a ≤ b
hbc : b < c
⊢ a ≤ c + 1
```
Note that it will not do your logic for you though. For example it will
not solve this goal:
```
a b c : ℝ
hab : a ≤ b
hbc : a ≤ b → b < c
⊢ a ≤ c + 1
```
even though `b < c` is "obviously true because of `hab`", `linarith` can't see it.
The *one* thing it can see through is `∧` in hypotheses: it will solve this goal.
```
a b c : ℝ
h : a ≤ b ∧ b < c
⊢ a ≤ c + 1
```
However it will not see through `∧` in goals; it will not solve this.
```
a b c : ℝ
h : a ≤ b ∧ b < c
⊢ a ≤ c + 1 ∧ a ≤ c + 1
```
To solve this goal, use `split; linarith`. The semicolon means "apply the
next tactic to all goals created by the previous tactic".
If you're unsure whether `linarith` can see an inequality, just isolate
it as a hypothesis or goal all by itself. Then `linarith` can definitely see it.
-/
/-
## convert
While we're here, here is an explanation of one more high-powered tactic.
If your goal is `⊢ P` and you have a hypothesis `h : P'` where `P` and `P'`
only differ slightly, then `convert h'` will replace the goal with new goals asking
for justification that all the places where `P` and `P'` differ are equal.
Here's an example:
-/
example (a b : ℝ) (h : a * 2 = b + 1) : a + a = b - (-1) :=
begin
-- rw `h` won't work because we don't have a complete match on either
-- side of the equality.
convert h,
-- now two goals: `a + a = a * 2` and `b - -1 = b + 1`
{ ring },
{ ring }
end
/-
An example where things can go a bit wrong is below. Uncomment the `convert h`
line to see a failure, and then you'll understand the fix.
-/
example (a b : ℝ) (h : a * 2 = b + 1) : a + a = 1 + b :=
begin
-- uncomment this to see something unfortunate happen:
-- convert h,
convert h using 1, -- change to 2 or more to see the unfortunate thing again
{ ring },
{ ring }
end
/-
OK it's time to actually do some mathematics! Why don't we start by
looking at what happens when we change a sequence or limit by adding a constant.
-/
lemma is_limit_add_const {a : ℕ → ℝ} {l : ℝ} (c : ℝ) (ha : is_limit a l) :
is_limit (λ i, a i + c) (l + c) :=
begin
sorry
end
lemma is_limit_add_const_iff {a : ℕ → ℝ} {l : ℝ} (c : ℝ) :
is_limit a l ↔ is_limit (λ i, a i + c) (l + c) :=
begin
sorry,
end
lemma is_limit_iff_is_limit_sub_eq_zero (a : ℕ → ℝ) (l : ℝ) :
is_limit a l ↔ is_limit (λ i, a i - l) 0 :=
begin
sorry,
end
/-
We now prove that if aₙ → l and bₙ → m then aₙ + bₙ → l + m.
Here is the proof that I recommend you formalise:
choose L large enough so that n ≥ L implies |aₙ - l|<ε/2
choose M large enough so that n ≥ M implies |bₙ - m|<ε/2
Now N := max M₁ M₂ works.
Some extra things you may need to know:
`pi.add_apply a b : (a + b) n = a n + b n`
`abs_add x y : |x + y| ≤ |x| + |y|`
Good luck!
-/
theorem is_limit_add {a b : ℕ → ℝ} {l m : ℝ}
(h1 : is_limit a l) (h2 : is_limit b m) :
is_limit (a + b) (l + m) :=
begin
sorry,
end
-- We have proved `is_limit` behaves well under `+`. If we also
-- prove that it behaves well under scalar multiplication, we can
-- deduce that it's linear. So let's do this next.
-- Helpful things:
-- `abs_pos : 0 < |a| ↔ a ≠ 0`
-- `div_pos : 0 < a → 0 < b → 0 < a / b`
-- `abs_mul x y : |x * y| = |x| * |y|`
-- `lt_div_iff' : 0 < c → (a < b / c ↔ c * a < b)`
-- I typically find these things myself with a combination of
-- the "guess the name of the lemma" game (and ctrl-space), and `library_search`
-- A hint for starting:
-- It might be worth dealing with `c = 0` as a special case. You
-- can start with
-- `by_cases hc : c = 0`
lemma is_limit_mul_const_left {a : ℕ → ℝ} {l c : ℝ} (h : is_limit a l) :
is_limit (λ n, c * (a n)) (c * l) :=
begin
sorry,
end
-- This should just be a couple of lines now.
lemma is_limit_linear (a : ℕ → ℝ) (b : ℕ → ℝ) (α β c d : ℝ)
(ha : is_limit a α) (hb : is_limit b β) :
is_limit ( λ n, c * (a n) + d * (b n) ) (c * α + d * β) :=
begin
sorry,
end
-- We need the below result to prove that product of limits is limit
-- of products.
-- Rather than using `√ε`, just choose `N` large enough such that `|a n| ≤ ε`
-- and `|b n| ≤ 1` if `n ≥ N`; this will work.
lemma is_limit_mul_eq_zero_of_is_limit_eq_zero {a : ℕ → ℝ} {b : ℕ → ℝ}
(ha : is_limit a 0) (hb : is_limit b 0) : is_limit (a * b) 0 :=
begin
sorry,
end
-- The limit of the product is the product of the limits.
-- If aₙ → l and bₙ → m then aₙ * bₙ → l * m.
-- Here's the proof I recommend. Start with
-- `suffices : is_limit (λ i, (a i - l) * (b i - m) + (l * (b i - m)) + m * (a i - l)) 0,`
-- (note: this multiplies out to `a i * b i - l * m`)
-- and then prove that all three terms in the sum tend to zero.
theorem is_limit_mul (a : ℕ → ℝ) (b : ℕ → ℝ) (l m : ℝ)
(h1 : is_limit a l) (h2 : is_limit b m) :
is_limit (a * b) (l * m) :=
begin
sorry,
end
-- If aₙ → l and bₙ → m, and aₙ ≤ bₙ for all n, then l ≤ m
theorem is_limit_le_of_le (a : ℕ → ℝ) (b : ℕ → ℝ)
(l : ℝ) (m : ℝ) (hl : is_limit a l) (hm : is_limit b m)
(hle : ∀ n, a n ≤ b n) : l ≤ m :=
begin
sorry,
end
-- sandwich
theorem sandwich (a b c : ℕ → ℝ)
(l : ℝ) (ha : is_limit a l) (hc : is_limit c l)
(hab : ∀ n, a n ≤ b n) (hbc : ∀ n, b n ≤ c n) : is_limit b l :=
begin
sorry,
end
-- Let's make a new definition.
definition is_bounded (a : ℕ → ℝ) := ∃ B, ∀ n, |a n| ≤ B
-- Now try this:
lemma tendsto_bounded_mul_zero {a : ℕ → ℝ} {b : ℕ → ℝ}
(hA : is_bounded a) (hB : is_limit b 0)
: is_limit (a*b) 0 :=
begin
sorry,
end
-- we can make more definitions
def is_cauchy (a : ℕ → ℝ) : Prop :=
∀ ε > 0, ∃ N, ∀ m ≥ N, ∀ n ≥ N, |a m - a n| < ε
-- and of course one can go on and on and on
end xena
-- Take a look at `Part_A_limits_appendix.lean` to see some rather
-- shorter proofs! We will talk about these proofs next week. Perhaps
-- you can try and investigate what is going on, by hovering on things
-- like `tendsto`. Hint: filters. |
a8f67fb226b79115a14c58d8317f001947d947e4 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/analysis/special_functions/pow/complex.lean | 9a4fc47cb086b5ee1d17de5bdf409aea8a228c89 | [
"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 | 8,994 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne, Sébastien Gouëzel,
Rémy Degenne, David Loeffler
-/
import analysis.special_functions.complex.log
/-! # Power function on `ℂ`
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
We construct the power functions `x ^ y`, where `x` and `y` are complex numbers.
-/
open_locale classical real topology filter complex_conjugate
open filter finset set
namespace complex
/-- The complex power function `x ^ y`, given by `x ^ y = exp(y log x)` (where `log` is the
principal determination of the logarithm), unless `x = 0` where one sets `0 ^ 0 = 1` and
`0 ^ y = 0` for `y ≠ 0`. -/
noncomputable def cpow (x y : ℂ) : ℂ :=
if x = 0
then if y = 0
then 1
else 0
else exp (log x * y)
noncomputable instance : has_pow ℂ ℂ := ⟨cpow⟩
@[simp] lemma cpow_eq_pow (x y : ℂ) : cpow x y = x ^ y := rfl
lemma cpow_def (x y : ℂ) : x ^ y =
if x = 0
then if y = 0
then 1
else 0
else exp (log x * y) := rfl
lemma cpow_def_of_ne_zero {x : ℂ} (hx : x ≠ 0) (y : ℂ) : x ^ y = exp (log x * y) := if_neg hx
@[simp] lemma cpow_zero (x : ℂ) : x ^ (0 : ℂ) = 1 := by simp [cpow_def]
@[simp] lemma cpow_eq_zero_iff (x y : ℂ) : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 :=
by { simp only [cpow_def], split_ifs; simp [*, exp_ne_zero] }
@[simp] lemma zero_cpow {x : ℂ} (h : x ≠ 0) : (0 : ℂ) ^ x = 0 :=
by simp [cpow_def, *]
lemma zero_cpow_eq_iff {x : ℂ} {a : ℂ} : 0 ^ x = a ↔ (x ≠ 0 ∧ a = 0) ∨ (x = 0 ∧ a = 1) :=
begin
split,
{ intros hyp,
simp only [cpow_def, eq_self_iff_true, if_true] at hyp,
by_cases x = 0,
{ subst h, simp only [if_true, eq_self_iff_true] at hyp, right, exact ⟨rfl, hyp.symm⟩},
{ rw if_neg h at hyp, left, exact ⟨h, hyp.symm⟩, }, },
{ rintro (⟨h, rfl⟩|⟨rfl,rfl⟩),
{ exact zero_cpow h, },
{ exact cpow_zero _, }, },
end
lemma eq_zero_cpow_iff {x : ℂ} {a : ℂ} : a = 0 ^ x ↔ (x ≠ 0 ∧ a = 0) ∨ (x = 0 ∧ a = 1) :=
by rw [←zero_cpow_eq_iff, eq_comm]
@[simp] lemma cpow_one (x : ℂ) : x ^ (1 : ℂ) = x :=
if hx : x = 0 then by simp [hx, cpow_def]
else by rw [cpow_def, if_neg (one_ne_zero : (1 : ℂ) ≠ 0), if_neg hx, mul_one, exp_log hx]
@[simp] lemma one_cpow (x : ℂ) : (1 : ℂ) ^ x = 1 :=
by rw cpow_def; split_ifs; simp [one_ne_zero, *] at *
lemma cpow_add {x : ℂ} (y z : ℂ) (hx : x ≠ 0) : x ^ (y + z) = x ^ y * x ^ z :=
by simp only [cpow_def, ite_mul, boole_mul, mul_ite, mul_boole]; simp [*, exp_add, mul_add] at *
lemma cpow_mul {x y : ℂ} (z : ℂ) (h₁ : -π < (log x * y).im) (h₂ : (log x * y).im ≤ π) :
x ^ (y * z) = (x ^ y) ^ z :=
begin
simp only [cpow_def],
split_ifs;
simp [*, exp_ne_zero, log_exp h₁ h₂, mul_assoc] at *
end
lemma cpow_neg (x y : ℂ) : x ^ -y = (x ^ y)⁻¹ :=
by simp only [cpow_def, neg_eq_zero, mul_neg]; split_ifs; simp [exp_neg]
lemma cpow_sub {x : ℂ} (y z : ℂ) (hx : x ≠ 0) : x ^ (y - z) = x ^ y / x ^ z :=
by rw [sub_eq_add_neg, cpow_add _ _ hx, cpow_neg, div_eq_mul_inv]
lemma cpow_neg_one (x : ℂ) : x ^ (-1 : ℂ) = x⁻¹ :=
by simpa using cpow_neg x 1
@[simp, norm_cast] lemma cpow_nat_cast (x : ℂ) : ∀ (n : ℕ), x ^ (n : ℂ) = x ^ n
| 0 := by simp
| (n + 1) := if hx : x = 0 then by simp only [hx, pow_succ,
complex.zero_cpow (nat.cast_ne_zero.2 (nat.succ_ne_zero _)), zero_mul]
else by simp [cpow_add, hx, pow_add, cpow_nat_cast n]
@[simp] lemma cpow_two (x : ℂ) : x ^ (2 : ℂ) = x ^ 2 :=
by { rw ← cpow_nat_cast, simp only [nat.cast_bit0, nat.cast_one] }
@[simp, norm_cast] lemma cpow_int_cast (x : ℂ) : ∀ (n : ℤ), x ^ (n : ℂ) = x ^ n
| (n : ℕ) := by simp
| -[1+ n] := by rw zpow_neg_succ_of_nat;
simp only [int.neg_succ_of_nat_coe, int.cast_neg, complex.cpow_neg, inv_eq_one_div,
int.cast_coe_nat, cpow_nat_cast]
lemma cpow_nat_inv_pow (x : ℂ) {n : ℕ} (hn : n ≠ 0) : (x ^ (n⁻¹ : ℂ)) ^ n = x :=
begin
suffices : im (log x * n⁻¹) ∈ Ioc (-π) π,
{ rw [← cpow_nat_cast, ← cpow_mul _ this.1 this.2, inv_mul_cancel, cpow_one],
exact_mod_cast hn },
rw [mul_comm, ← of_real_nat_cast, ← of_real_inv, of_real_mul_im, ← div_eq_inv_mul],
rw [← pos_iff_ne_zero] at hn,
have hn' : 0 < (n : ℝ), by assumption_mod_cast,
have hn1 : 1 ≤ (n : ℝ), by exact_mod_cast (nat.succ_le_iff.2 hn),
split,
{ rw lt_div_iff hn',
calc -π * n ≤ -π * 1 : mul_le_mul_of_nonpos_left hn1 (neg_nonpos.2 real.pi_pos.le)
... = -π : mul_one _
... < im (log x) : neg_pi_lt_log_im _ },
{ rw div_le_iff hn',
calc im (log x) ≤ π : log_im_le_pi _
... = π * 1 : (mul_one π).symm
... ≤ π * n : mul_le_mul_of_nonneg_left hn1 real.pi_pos.le }
end
lemma mul_cpow_of_real_nonneg {a b : ℝ} (ha : 0 ≤ a) (hb : 0 ≤ b) (r : ℂ) :
((a : ℂ) * (b : ℂ)) ^ r = (a : ℂ) ^ r * (b : ℂ) ^ r :=
begin
rcases eq_or_ne r 0 with rfl | hr,
{ simp only [cpow_zero, mul_one] },
rcases eq_or_lt_of_le ha with rfl | ha',
{ rw [of_real_zero, zero_mul, zero_cpow hr, zero_mul] },
rcases eq_or_lt_of_le hb with rfl | hb',
{ rw [of_real_zero, mul_zero, zero_cpow hr, mul_zero] },
have ha'' : (a : ℂ) ≠ 0 := of_real_ne_zero.mpr ha'.ne',
have hb'' : (b : ℂ) ≠ 0 := of_real_ne_zero.mpr hb'.ne',
rw [cpow_def_of_ne_zero (mul_ne_zero ha'' hb''), log_of_real_mul ha' hb'', of_real_log ha,
add_mul, exp_add, ←cpow_def_of_ne_zero ha'', ←cpow_def_of_ne_zero hb'']
end
lemma inv_cpow_eq_ite (x : ℂ) (n : ℂ) :
x⁻¹ ^ n = if x.arg = π then conj (x ^ conj n)⁻¹ else (x ^ n)⁻¹ :=
begin
simp_rw [complex.cpow_def, log_inv_eq_ite, inv_eq_zero, map_eq_zero, ite_mul, neg_mul,
is_R_or_C.conj_inv, apply_ite conj, apply_ite exp, apply_ite has_inv.inv, map_zero, map_one,
exp_neg, inv_one, inv_zero, ←exp_conj, map_mul, conj_conj],
split_ifs with hx hn ha ha; refl,
end
lemma inv_cpow (x : ℂ) (n : ℂ) (hx : x.arg ≠ π) : x⁻¹ ^ n = (x ^ n)⁻¹ :=
by rw [inv_cpow_eq_ite, if_neg hx]
/-- `complex.inv_cpow_eq_ite` with the `ite` on the other side. -/
lemma inv_cpow_eq_ite' (x : ℂ) (n : ℂ) :
(x ^ n)⁻¹ = if x.arg = π then conj (x⁻¹ ^ conj n) else x⁻¹ ^ n :=
begin
rw [inv_cpow_eq_ite, apply_ite conj, conj_conj, conj_conj],
split_ifs,
{ refl },
{ rw inv_cpow _ _ h }
end
lemma conj_cpow_eq_ite (x : ℂ) (n : ℂ) :
conj x ^ n = if x.arg = π then x ^ n else conj (x ^ conj n) :=
begin
simp_rw [cpow_def, map_eq_zero, apply_ite conj, map_one, map_zero, ←exp_conj, map_mul,
conj_conj, log_conj_eq_ite],
split_ifs with hcx hn hx; refl
end
lemma conj_cpow (x : ℂ) (n : ℂ) (hx : x.arg ≠ π) : conj x ^ n = conj (x ^ conj n) :=
by rw [conj_cpow_eq_ite, if_neg hx]
lemma cpow_conj (x : ℂ) (n : ℂ) (hx : x.arg ≠ π) : x ^ conj n = conj (conj x ^ n) :=
by rw [conj_cpow _ _ hx, conj_conj]
end complex
section tactics
/-!
## Tactic extensions for complex powers
-/
namespace norm_num
theorem cpow_pos (a b : ℂ) (b' : ℕ) (c : ℂ) (hb : b = b') (h : a ^ b' = c) : a ^ b = c :=
by rw [← h, hb, complex.cpow_nat_cast]
theorem cpow_neg (a b : ℂ) (b' : ℕ) (c c' : ℂ)
(hb : b = b') (h : a ^ b' = c) (hc : c⁻¹ = c') : a ^ -b = c' :=
by rw [← hc, ← h, hb, complex.cpow_neg, complex.cpow_nat_cast]
open tactic
/-- Generalized version of `prove_cpow`, `prove_nnrpow`, `prove_ennrpow`. -/
meta def prove_rpow' (pos neg zero : name) (α β one a b : expr) : tactic (expr × expr) := do
na ← a.to_rat,
icα ← mk_instance_cache α,
icβ ← mk_instance_cache β,
match match_sign b with
| sum.inl b := do
nc ← mk_instance_cache `(ℕ),
(icβ, nc, b', hb) ← prove_nat_uncast icβ nc b,
(icα, c, h) ← prove_pow a na icα b',
cr ← c.to_rat,
(icα, c', hc) ← prove_inv icα c cr,
pure (c', (expr.const neg []).mk_app [a, b, b', c, c', hb, h, hc])
| sum.inr ff := pure (one, expr.const zero [] a)
| sum.inr tt := do
nc ← mk_instance_cache `(ℕ),
(icβ, nc, b', hb) ← prove_nat_uncast icβ nc b,
(icα, c, h) ← prove_pow a na icα b',
pure (c, (expr.const pos []).mk_app [a, b, b', c, hb, h])
end
/-- Evaluate `complex.cpow a b` where `a` is a rational numeral and `b` is an integer. -/
meta def prove_cpow : expr → expr → tactic (expr × expr) :=
prove_rpow' ``cpow_pos ``cpow_neg ``complex.cpow_zero `(ℂ) `(ℂ) `(1:ℂ)
/-- Evaluates expressions of the form `cpow a b` and `a ^ b` in the special case where
`b` is an integer and `a` is a positive rational (so it's really just a rational power). -/
@[norm_num] meta def eval_cpow : expr → tactic (expr × expr)
| `(@has_pow.pow _ _ complex.has_pow %%a %%b) := b.to_int >> prove_cpow a b
| `(complex.cpow %%a %%b) := b.to_int >> prove_cpow a b
| _ := tactic.failed
end norm_num
end tactics
|
4eea1ad8b56d6ef1dfd4800be35c2db03e5360a9 | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/field_theory/polynomial_galois_group.lean | ece57a833990bc57c9858e8509658fa6949bbff2 | [
"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 | 21,894 | lean | /-
Copyright (c) 2020 Thomas Browning, Patrick Lutz. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Thomas Browning, Patrick Lutz
-/
import analysis.complex.polynomial
import field_theory.galois
import group_theory.perm.cycle_type
import ring_theory.eisenstein_criterion
/-!
# Galois Groups of Polynomials
In this file, we introduce the Galois group of a polynomial `p` over a field `F`,
defined as the automorphism group of its splitting field. We also provide
some results about some extension `E` above `p.splitting_field`, and some specific
results about the Galois groups of ℚ-polynomials with specific numbers of non-real roots.
## Main definitions
- `polynomial.gal p`: the Galois group of a polynomial p.
- `polynomial.gal.restrict p E`: the restriction homomorphism `(E ≃ₐ[F] E) → gal p`.
- `polynomial.gal.gal_action p E`: the action of `gal p` on the roots of `p` in `E`.
## Main results
- `polynomial.gal.restrict_smul`: `restrict p E` is compatible with `gal_action p E`.
- `polynomial.gal.gal_action_hom_injective`: `gal p` acting on the roots of `p` in `E` is faithful.
- `polynomial.gal.restrict_prod_injective`: `gal (p * q)` embeds as a subgroup of `gal p × gal q`.
- `polynomial.gal.card_of_separable`: For a separable polynomial, its Galois group has cardinality
equal to the dimension of its splitting field over `F`.
- `polynomial.gal.gal_action_hom_bijective_of_prime_degree`:
An irreducible polynomial of prime degree with two non-real roots has full Galois group.
## Other results
- `polynomial.gal.card_complex_roots_eq_card_real_add_card_not_gal_inv`: The number of complex roots
equals the number of real roots plus the number of roots not fixed by complex conjugation
(i.e. with some imaginary component).
-/
noncomputable theory
open_locale classical
open finite_dimensional
namespace polynomial
variables {F : Type*} [field F] (p q : polynomial F) (E : Type*) [field E] [algebra F E]
/-- The Galois group of a polynomial. -/
@[derive [has_coe_to_fun, group, fintype]]
def gal := p.splitting_field ≃ₐ[F] p.splitting_field
namespace gal
@[ext] lemma ext {σ τ : p.gal} (h : ∀ x ∈ p.root_set p.splitting_field, σ x = τ x) : σ = τ :=
begin
refine alg_equiv.ext (λ x, (alg_hom.mem_equalizer σ.to_alg_hom τ.to_alg_hom x).mp
((set_like.ext_iff.mp _ x).mpr algebra.mem_top)),
rwa [eq_top_iff, ←splitting_field.adjoin_roots, algebra.adjoin_le_iff],
end
/-- If `p` splits in `F` then the `p.gal` is trivial. -/
def unique_gal_of_splits (h : p.splits (ring_hom.id F)) : unique p.gal :=
{ default := 1,
uniq := λ f, alg_equiv.ext (λ x, by { obtain ⟨y, rfl⟩ := algebra.mem_bot.mp
((set_like.ext_iff.mp ((is_splitting_field.splits_iff _ p).mp h) x).mp algebra.mem_top),
rw [alg_equiv.commutes, alg_equiv.commutes] }) }
instance [h : fact (p.splits (ring_hom.id F))] : unique p.gal :=
unique_gal_of_splits _ (h.1)
instance unique_gal_zero : unique (0 : polynomial F).gal :=
unique_gal_of_splits _ (splits_zero _)
instance unique_gal_one : unique (1 : polynomial F).gal :=
unique_gal_of_splits _ (splits_one _)
instance unique_gal_C (x : F) : unique (C x).gal :=
unique_gal_of_splits _ (splits_C _ _)
instance unique_gal_X : unique (X : polynomial F).gal :=
unique_gal_of_splits _ (splits_X _)
instance unique_gal_X_sub_C (x : F) : unique (X - C x).gal :=
unique_gal_of_splits _ (splits_X_sub_C _)
instance unique_gal_X_pow (n : ℕ) : unique (X ^ n : polynomial F).gal :=
unique_gal_of_splits _ (splits_X_pow _ _)
instance [h : fact (p.splits (algebra_map F E))] : algebra p.splitting_field E :=
(is_splitting_field.lift p.splitting_field p h.1).to_ring_hom.to_algebra
instance [h : fact (p.splits (algebra_map F E))] : is_scalar_tower F p.splitting_field E :=
is_scalar_tower.of_algebra_map_eq
(λ x, ((is_splitting_field.lift p.splitting_field p h.1).commutes x).symm)
-- The `algebra p.splitting_field E` instance above behaves badly when
-- `E := p.splitting_field`, since it may result in a unification problem
-- `is_splitting_field.lift.to_ring_hom.to_algebra =?= algebra.id`,
-- which takes an extremely long time to resolve, causing timeouts.
-- Since we don't really care about this definition, marking it as irreducible
-- causes that unification to error out early.
attribute [irreducible] gal.algebra
/-- Restrict from a superfield automorphism into a member of `gal p`. -/
def restrict [fact (p.splits (algebra_map F E))] : (E ≃ₐ[F] E) →* p.gal :=
alg_equiv.restrict_normal_hom p.splitting_field
lemma restrict_surjective [fact (p.splits (algebra_map F E))] [normal F E] :
function.surjective (restrict p E) :=
alg_equiv.restrict_normal_hom_surjective E
section roots_action
/-- The function taking `roots p p.splitting_field` to `roots p E`. This is actually a bijection,
see `polynomial.gal.map_roots_bijective`. -/
def map_roots [fact (p.splits (algebra_map F E))] :
root_set p p.splitting_field → root_set p E :=
λ x, ⟨is_scalar_tower.to_alg_hom F p.splitting_field E x, begin
have key := subtype.mem x,
by_cases p = 0,
{ simp only [h, root_set_zero] at key,
exact false.rec _ key },
{ rw [mem_root_set h, aeval_alg_hom_apply, (mem_root_set h).mp key, alg_hom.map_zero] } end⟩
lemma map_roots_bijective [h : fact (p.splits (algebra_map F E))] :
function.bijective (map_roots p E) :=
begin
split,
{ exact λ _ _ h, subtype.ext (ring_hom.injective _ (subtype.ext_iff.mp h)) },
{ intro y,
-- this is just an equality of two different ways to write the roots of `p` as an `E`-polynomial
have key := roots_map
(is_scalar_tower.to_alg_hom F p.splitting_field E : p.splitting_field →+* E)
((splits_id_iff_splits _).mpr (is_splitting_field.splits p.splitting_field p)),
rw [map_map, alg_hom.comp_algebra_map] at key,
have hy := subtype.mem y,
simp only [root_set, finset.mem_coe, multiset.mem_to_finset, key, multiset.mem_map] at hy,
rcases hy with ⟨x, hx1, hx2⟩,
exact ⟨⟨x, multiset.mem_to_finset.mpr hx1⟩, subtype.ext hx2⟩ }
end
/-- The bijection between `root_set p p.splitting_field` and `root_set p E`. -/
def roots_equiv_roots [fact (p.splits (algebra_map F E))] :
(root_set p p.splitting_field) ≃ (root_set p E) :=
equiv.of_bijective (map_roots p E) (map_roots_bijective p E)
instance gal_action_aux : mul_action p.gal (root_set p p.splitting_field) :=
{ smul := λ ϕ x, ⟨ϕ x, begin
have key := subtype.mem x,
--simp only [root_set, finset.mem_coe, multiset.mem_to_finset] at *,
by_cases p = 0,
{ simp only [h, root_set_zero] at key,
exact false.rec _ key },
{ rw mem_root_set h,
change aeval (ϕ.to_alg_hom x) p = 0,
rw [aeval_alg_hom_apply, (mem_root_set h).mp key, alg_hom.map_zero] } end⟩,
one_smul := λ _, by { ext, refl },
mul_smul := λ _ _ _, by { ext, refl } }
/-- The action of `gal p` on the roots of `p` in `E`. -/
instance gal_action [fact (p.splits (algebra_map F E))] : mul_action p.gal (root_set p E) :=
{ smul := λ ϕ x, roots_equiv_roots p E (ϕ • ((roots_equiv_roots p E).symm x)),
one_smul := λ _, by simp only [equiv.apply_symm_apply, one_smul],
mul_smul := λ _ _ _, by simp only [equiv.apply_symm_apply, equiv.symm_apply_apply, mul_smul] }
variables {p E}
/-- `polynomial.gal.restrict p E` is compatible with `polynomial.gal.gal_action p E`. -/
@[simp] lemma restrict_smul [fact (p.splits (algebra_map F E))]
(ϕ : E ≃ₐ[F] E) (x : root_set p E) : ↑((restrict p E ϕ) • x) = ϕ x :=
begin
let ψ := alg_equiv.of_injective_field (is_scalar_tower.to_alg_hom F p.splitting_field E),
change ↑(ψ (ψ.symm _)) = ϕ x,
rw alg_equiv.apply_symm_apply ψ,
change ϕ (roots_equiv_roots p E ((roots_equiv_roots p E).symm x)) = ϕ x,
rw equiv.apply_symm_apply (roots_equiv_roots p E),
end
variables (p E)
/-- `polynomial.gal.gal_action` as a permutation representation -/
def gal_action_hom [fact (p.splits (algebra_map F E))] : p.gal →* equiv.perm (root_set p E) :=
{ to_fun := λ ϕ, equiv.mk (λ x, ϕ • x) (λ x, ϕ⁻¹ • x)
(λ x, inv_smul_smul ϕ x) (λ x, smul_inv_smul ϕ x),
map_one' := by { ext1 x, exact mul_action.one_smul x },
map_mul' := λ x y, by { ext1 z, exact mul_action.mul_smul x y z } }
lemma gal_action_hom_restrict [fact (p.splits (algebra_map F E))]
(ϕ : E ≃ₐ[F] E) (x : root_set p E) : ↑(gal_action_hom p E (restrict p E ϕ) x) = ϕ x :=
restrict_smul ϕ x
/-- `gal p` embeds as a subgroup of permutations of the roots of `p` in `E`. -/
lemma gal_action_hom_injective [fact (p.splits (algebra_map F E))] :
function.injective (gal_action_hom p E) :=
begin
rw monoid_hom.injective_iff,
intros ϕ hϕ,
ext x hx,
have key := equiv.perm.ext_iff.mp hϕ (roots_equiv_roots p E ⟨x, hx⟩),
change roots_equiv_roots p E (ϕ • (roots_equiv_roots p E).symm
(roots_equiv_roots p E ⟨x, hx⟩)) = roots_equiv_roots p E ⟨x, hx⟩ at key,
rw equiv.symm_apply_apply at key,
exact subtype.ext_iff.mp (equiv.injective (roots_equiv_roots p E) key),
end
end roots_action
variables {p q}
/-- `polynomial.gal.restrict`, when both fields are splitting fields of polynomials. -/
def restrict_dvd (hpq : p ∣ q) : q.gal →* p.gal :=
if hq : q = 0 then 1 else @restrict F _ p _ _ _
⟨splits_of_splits_of_dvd (algebra_map F q.splitting_field) hq (splitting_field.splits q) hpq⟩
lemma restrict_dvd_surjective (hpq : p ∣ q) (hq : q ≠ 0) :
function.surjective (restrict_dvd hpq) :=
by simp only [restrict_dvd, dif_neg hq, restrict_surjective]
variables (p q)
/-- The Galois group of a product maps into the product of the Galois groups. -/
def restrict_prod : (p * q).gal →* p.gal × q.gal :=
monoid_hom.prod (restrict_dvd (dvd_mul_right p q)) (restrict_dvd (dvd_mul_left q p))
/-- `polynomial.gal.restrict_prod` is actually a subgroup embedding. -/
lemma restrict_prod_injective : function.injective (restrict_prod p q) :=
begin
by_cases hpq : (p * q) = 0,
{ haveI : unique (p * q).gal, { rw hpq, apply_instance },
exact λ f g h, eq.trans (unique.eq_default f) (unique.eq_default g).symm },
intros f g hfg,
dsimp only [restrict_prod, restrict_dvd] at hfg,
simp only [dif_neg hpq, monoid_hom.prod_apply, prod.mk.inj_iff] at hfg,
ext x hx,
rw [root_set, map_mul, polynomial.roots_mul] at hx,
cases multiset.mem_add.mp (multiset.mem_to_finset.mp hx) with h h,
{ haveI : fact (p.splits (algebra_map F (p * q).splitting_field)) :=
⟨splits_of_splits_of_dvd _ hpq (splitting_field.splits (p * q)) (dvd_mul_right p q)⟩,
have key : x = algebra_map (p.splitting_field) (p * q).splitting_field
((roots_equiv_roots p _).inv_fun ⟨x, multiset.mem_to_finset.mpr h⟩) :=
subtype.ext_iff.mp (equiv.apply_symm_apply (roots_equiv_roots p _) ⟨x, _⟩).symm,
rw [key, ←alg_equiv.restrict_normal_commutes, ←alg_equiv.restrict_normal_commutes],
exact congr_arg _ (alg_equiv.ext_iff.mp hfg.1 _) },
{ haveI : fact (q.splits (algebra_map F (p * q).splitting_field)) :=
⟨splits_of_splits_of_dvd _ hpq (splitting_field.splits (p * q)) (dvd_mul_left q p)⟩,
have key : x = algebra_map (q.splitting_field) (p * q).splitting_field
((roots_equiv_roots q _).inv_fun ⟨x, multiset.mem_to_finset.mpr h⟩) :=
subtype.ext_iff.mp (equiv.apply_symm_apply (roots_equiv_roots q _) ⟨x, _⟩).symm,
rw [key, ←alg_equiv.restrict_normal_commutes, ←alg_equiv.restrict_normal_commutes],
exact congr_arg _ (alg_equiv.ext_iff.mp hfg.2 _) },
{ rwa [ne.def, mul_eq_zero, map_eq_zero, map_eq_zero, ←mul_eq_zero] }
end
lemma mul_splits_in_splitting_field_of_mul {p₁ q₁ p₂ q₂ : polynomial F}
(hq₁ : q₁ ≠ 0) (hq₂ : q₂ ≠ 0) (h₁ : p₁.splits (algebra_map F q₁.splitting_field))
(h₂ : p₂.splits (algebra_map F q₂.splitting_field)) :
(p₁ * p₂).splits (algebra_map F (q₁ * q₂).splitting_field) :=
begin
apply splits_mul,
{ rw ← (splitting_field.lift q₁ (splits_of_splits_of_dvd _
(mul_ne_zero hq₁ hq₂) (splitting_field.splits _) (dvd_mul_right q₁ q₂))).comp_algebra_map,
exact splits_comp_of_splits _ _ h₁, },
{ rw ← (splitting_field.lift q₂ (splits_of_splits_of_dvd _
(mul_ne_zero hq₁ hq₂) (splitting_field.splits _) (dvd_mul_left q₂ q₁))).comp_algebra_map,
exact splits_comp_of_splits _ _ h₂, },
end
/-- `p` splits in the splitting field of `p ∘ q`, for `q` non-constant. -/
lemma splits_in_splitting_field_of_comp (hq : q.nat_degree ≠ 0) :
p.splits (algebra_map F (p.comp q).splitting_field) :=
begin
let P : polynomial F → Prop := λ r, r.splits (algebra_map F (r.comp q).splitting_field),
have key1 : ∀ {r : polynomial F}, irreducible r → P r,
{ intros r hr,
by_cases hr' : nat_degree r = 0,
{ exact splits_of_nat_degree_le_one _ (le_trans (le_of_eq hr') zero_le_one) },
obtain ⟨x, hx⟩ := exists_root_of_splits _ (splitting_field.splits (r.comp q))
(λ h, hr' ((mul_eq_zero.mp (nat_degree_comp.symm.trans
(nat_degree_eq_of_degree_eq_some h))).resolve_right hq)),
rw [←aeval_def, aeval_comp] at hx,
have h_normal : normal F (r.comp q).splitting_field := splitting_field.normal (r.comp q),
have qx_int := normal.is_integral h_normal (aeval x q),
exact splits_of_splits_of_dvd _
(minpoly.ne_zero qx_int)
(normal.splits h_normal _)
((minpoly.irreducible qx_int).dvd_symm hr (minpoly.dvd F _ hx)) },
have key2 : ∀ {p₁ p₂ : polynomial F}, P p₁ → P p₂ → P (p₁ * p₂),
{ intros p₁ p₂ hp₁ hp₂,
by_cases h₁ : p₁.comp q = 0,
{ cases comp_eq_zero_iff.mp h₁ with h h,
{ rw [h, zero_mul],
exact splits_zero _ },
{ exact false.rec _ (hq (by rw [h.2, nat_degree_C])) } },
by_cases h₂ : p₂.comp q = 0,
{ cases comp_eq_zero_iff.mp h₂ with h h,
{ rw [h, mul_zero],
exact splits_zero _ },
{ exact false.rec _ (hq (by rw [h.2, nat_degree_C])) } },
have key := mul_splits_in_splitting_field_of_mul h₁ h₂ hp₁ hp₂,
rwa ← mul_comp at key },
exact wf_dvd_monoid.induction_on_irreducible p (splits_zero _)
(λ _, splits_of_is_unit _) (λ _ _ _ h, key2 (key1 h)),
end
/-- `polynomial.gal.restrict` for the composition of polynomials. -/
def restrict_comp (hq : q.nat_degree ≠ 0) : (p.comp q).gal →* p.gal :=
@restrict F _ p _ _ _ ⟨splits_in_splitting_field_of_comp p q hq⟩
lemma restrict_comp_surjective (hq : q.nat_degree ≠ 0) :
function.surjective (restrict_comp p q hq) :=
by simp only [restrict_comp, restrict_surjective]
variables {p q}
/-- For a separable polynomial, its Galois group has cardinality
equal to the dimension of its splitting field over `F`. -/
lemma card_of_separable (hp : p.separable) :
fintype.card p.gal = finrank F p.splitting_field :=
begin
haveI : is_galois F p.splitting_field := is_galois.of_separable_splitting_field hp,
exact is_galois.card_aut_eq_finrank F p.splitting_field,
end
lemma prime_degree_dvd_card [char_zero F] (p_irr : irreducible p) (p_deg : p.nat_degree.prime) :
p.nat_degree ∣ fintype.card p.gal :=
begin
rw gal.card_of_separable p_irr.separable,
have hp : p.degree ≠ 0 :=
λ h, nat.prime.ne_zero p_deg (nat_degree_eq_zero_iff_degree_le_zero.mpr (le_of_eq h)),
let α : p.splitting_field := root_of_splits (algebra_map F p.splitting_field)
(splitting_field.splits p) hp,
have hα : is_integral F α :=
(is_algebraic_iff_is_integral F).mp (algebra.is_algebraic_of_finite α),
use finite_dimensional.finrank F⟮α⟯ p.splitting_field,
suffices : (minpoly F α).nat_degree = p.nat_degree,
{ rw [←finite_dimensional.finrank_mul_finrank F F⟮α⟯ p.splitting_field,
intermediate_field.adjoin.finrank hα, this] },
suffices : minpoly F α ∣ p,
{ have key := (minpoly.irreducible hα).dvd_symm p_irr this,
apply le_antisymm,
{ exact nat_degree_le_of_dvd this p_irr.ne_zero },
{ exact nat_degree_le_of_dvd key (minpoly.ne_zero hα) } },
apply minpoly.dvd F α,
rw [aeval_def, map_root_of_splits _ (splitting_field.splits p) hp],
end
section rationals
lemma splits_ℚ_ℂ {p : polynomial ℚ} : fact (p.splits (algebra_map ℚ ℂ)) :=
⟨is_alg_closed.splits_codomain p⟩
local attribute [instance] splits_ℚ_ℂ
/-- The number of complex roots equals the number of real roots plus
the number of roots not fixed by complex conjugation (i.e. with some imaginary component). -/
lemma card_complex_roots_eq_card_real_add_card_not_gal_inv (p : polynomial ℚ) :
(p.root_set ℂ).to_finset.card = (p.root_set ℝ).to_finset.card +
(gal_action_hom p ℂ (restrict p ℂ (complex.conj_ae.restrict_scalars ℚ))).support.card :=
begin
by_cases hp : p = 0,
{ simp_rw [hp, root_set_zero, set.to_finset_eq_empty_iff.mpr rfl, finset.card_empty, zero_add],
refine eq.symm (nat.le_zero_iff.mp ((finset.card_le_univ _).trans (le_of_eq _))),
simp_rw [hp, root_set_zero, fintype.card_eq_zero_iff],
apply_instance },
have inj : function.injective (is_scalar_tower.to_alg_hom ℚ ℝ ℂ) := (algebra_map ℝ ℂ).injective,
rw [←finset.card_image_of_injective _ subtype.coe_injective,
←finset.card_image_of_injective _ inj],
let a : finset ℂ := _,
let b : finset ℂ := _,
let c : finset ℂ := _,
change a.card = b.card + c.card,
have ha : ∀ z : ℂ, z ∈ a ↔ aeval z p = 0 :=
λ z, by rw [set.mem_to_finset, mem_root_set hp],
have hb : ∀ z : ℂ, z ∈ b ↔ aeval z p = 0 ∧ z.im = 0,
{ intro z,
simp_rw [finset.mem_image, exists_prop, set.mem_to_finset, mem_root_set hp],
split,
{ rintros ⟨w, hw, rfl⟩,
exact ⟨by rw [aeval_alg_hom_apply, hw, alg_hom.map_zero], rfl⟩ },
{ rintros ⟨hz1, hz2⟩,
have key : is_scalar_tower.to_alg_hom ℚ ℝ ℂ z.re = z := by { ext, refl, rw hz2, refl },
exact ⟨z.re, inj (by rwa [←aeval_alg_hom_apply, key, alg_hom.map_zero]), key⟩ } },
have hc0 : ∀ w : p.root_set ℂ, gal_action_hom p ℂ
(restrict p ℂ (complex.conj_ae.restrict_scalars ℚ)) w = w ↔ w.val.im = 0,
{ intro w,
rw [subtype.ext_iff, gal_action_hom_restrict],
exact complex.eq_conj_iff_im },
have hc : ∀ z : ℂ, z ∈ c ↔ aeval z p = 0 ∧ z.im ≠ 0,
{ intro z,
simp_rw [finset.mem_image, exists_prop],
split,
{ rintros ⟨w, hw, rfl⟩,
exact ⟨(mem_root_set hp).mp w.2, mt (hc0 w).mpr (equiv.perm.mem_support.mp hw)⟩ },
{ rintros ⟨hz1, hz2⟩,
exact ⟨⟨z, (mem_root_set hp).mpr hz1⟩,
equiv.perm.mem_support.mpr (mt (hc0 _).mp hz2), rfl⟩ } },
rw ← finset.card_disjoint_union,
{ apply congr_arg finset.card,
simp_rw [finset.ext_iff, finset.mem_union, ha, hb, hc],
tauto },
{ intro z,
rw [finset.inf_eq_inter, finset.mem_inter, hb, hc],
tauto },
{ apply_instance },
end
/-- An irreducible polynomial of prime degree with two non-real roots has full Galois group. -/
lemma gal_action_hom_bijective_of_prime_degree
{p : polynomial ℚ} (p_irr : irreducible p) (p_deg : p.nat_degree.prime)
(p_roots : fintype.card (p.root_set ℂ) = fintype.card (p.root_set ℝ) + 2) :
function.bijective (gal_action_hom p ℂ) :=
begin
have h1 : fintype.card (p.root_set ℂ) = p.nat_degree,
{ simp_rw [root_set_def, finset.coe_sort_coe, fintype.card_coe],
rw [multiset.to_finset_card_of_nodup, ←nat_degree_eq_card_roots],
{ exact is_alg_closed.splits_codomain p },
{ exact nodup_roots ((separable_map (algebra_map ℚ ℂ)).mpr p_irr.separable) } },
have h2 : fintype.card p.gal = fintype.card (gal_action_hom p ℂ).range :=
fintype.card_congr (monoid_hom.of_injective (gal_action_hom_injective p ℂ)).to_equiv,
let conj := restrict p ℂ (complex.conj_ae.restrict_scalars ℚ),
refine ⟨gal_action_hom_injective p ℂ, λ x, (congr_arg (has_mem.mem x)
(show (gal_action_hom p ℂ).range = ⊤, from _)).mpr (subgroup.mem_top x)⟩,
apply equiv.perm.subgroup_eq_top_of_swap_mem,
{ rwa h1 },
{ rw h1,
convert prime_degree_dvd_card p_irr p_deg using 1,
convert h2.symm },
{ exact ⟨conj, rfl⟩ },
{ rw ← equiv.perm.card_support_eq_two,
apply nat.add_left_cancel,
rw [←p_roots, ←set.to_finset_card (root_set p ℝ), ←set.to_finset_card (root_set p ℂ)],
exact (card_complex_roots_eq_card_real_add_card_not_gal_inv p).symm },
end
/-- An irreducible polynomial of prime degree with 1-3 non-real roots has full Galois group. -/
lemma gal_action_hom_bijective_of_prime_degree'
{p : polynomial ℚ} (p_irr : irreducible p) (p_deg : p.nat_degree.prime)
(p_roots1 : fintype.card (p.root_set ℝ) + 1 ≤ fintype.card (p.root_set ℂ))
(p_roots2 : fintype.card (p.root_set ℂ) ≤ fintype.card (p.root_set ℝ) + 3) :
function.bijective (gal_action_hom p ℂ) :=
begin
apply gal_action_hom_bijective_of_prime_degree p_irr p_deg,
let n := (gal_action_hom p ℂ (restrict p ℂ
(complex.conj_ae.restrict_scalars ℚ))).support.card,
have hn : 2 ∣ n :=
equiv.perm.two_dvd_card_support (by rw [←monoid_hom.map_pow, ←monoid_hom.map_pow,
show alg_equiv.restrict_scalars ℚ complex.conj_ae ^ 2 = 1,
from alg_equiv.ext complex.conj_conj, monoid_hom.map_one, monoid_hom.map_one]),
have key := card_complex_roots_eq_card_real_add_card_not_gal_inv p,
simp_rw [set.to_finset_card] at key,
rw [key, add_le_add_iff_left] at p_roots1 p_roots2,
rw [key, add_right_inj],
suffices : ∀ m : ℕ, 2 ∣ m → 1 ≤ m → m ≤ 3 → m = 2,
{ exact this n hn p_roots1 p_roots2 },
rintros m ⟨k, rfl⟩ h2 h3,
exact le_antisymm (nat.lt_succ_iff.mp (lt_of_le_of_ne h3 (show 2 * k ≠ 2 * 1 + 1,
from nat.two_mul_ne_two_mul_add_one))) (nat.succ_le_iff.mpr (lt_of_le_of_ne h2
(show 2 * 0 + 1 ≠ 2 * k, from nat.two_mul_ne_two_mul_add_one.symm))),
end
end rationals
end gal
end polynomial
|
2d674063d786403c56010e72c4b03aeab9b8b711 | c777c32c8e484e195053731103c5e52af26a25d1 | /src/data/nat/nth.lean | 18e2db160b439f27e959da7a20f041ea0f37e242 | [
"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 | 15,240 | lean | /-
Copyright (c) 2021 Vladimir Goryachev. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Vladimir Goryachev, Kyle Miller, Scott Morrison, Eric Rodriguez
-/
import data.nat.count
import order.order_iso_nat
/-!
# The `n`th Number Satisfying a Predicate
This file defines a function for "what is the `n`th number that satisifies a given predicate `p`",
and provides lemmas that deal with this function and its connection to `nat.count`.
## Main definitions
* `nth p n`: The `n`-th natural `k` (zero-indexed) such that `p k`. If there is no
such natural (that is, `p` is true for at most `n` naturals), then `nth p n = 0`.
## Main results
* `nat.nth_set_card`: For a fintely-often true `p`, gives the cardinality of the set of numbers
satisfying `p` above particular values of `nth p`
* `nat.count_nth_gc`: Establishes a Galois connection between `nth p` and `count p`.
* `nat.nth_eq_order_iso_of_nat`: For an infinitely-ofter true predicate, `nth` agrees with the
order-isomorphism of the subtype to the natural numbers.
There has been some discussion on the subject of whether both of `nth` and
`nat.subtype.order_iso_of_nat` should exist. See discussion
[here](https://github.com/leanprover-community/mathlib/pull/9457#pullrequestreview-767221180).
Future work should address how lemmas that use these should be written.
-/
open finset
namespace nat
variable (p : ℕ → Prop)
/-- Find the `n`-th natural number satisfying `p` (indexed from `0`, so `nth p 0` is the first
natural number satisfying `p`), or `0` if there is no such number. See also
`subtype.order_iso_of_nat` for the order isomorphism with ℕ when `p` is infinitely often true. -/
noncomputable def nth : ℕ → ℕ
| n := Inf { i : ℕ | p i ∧ ∀ k < n, nth k < i }
lemma nth_zero : nth p 0 = Inf { i : ℕ | p i } := by { rw nth, simp }
@[simp] lemma nth_zero_of_zero (h : p 0) : nth p 0 = 0 :=
by simp [nth_zero, h]
lemma nth_zero_of_exists [decidable_pred p] (h : ∃ n, p n) : nth p 0 = nat.find h :=
by { rw [nth_zero], convert nat.Inf_def h }
lemma nth_set_card_aux {n : ℕ} (hp : (set_of p).finite)
(hp' : {i : ℕ | p i ∧ ∀ t < n, nth p t < i}.finite) (hle : n ≤ hp.to_finset.card) :
hp'.to_finset.card = hp.to_finset.card - n :=
begin
unfreezingI { induction n with k hk },
{ congr,
simp only [is_empty.forall_iff, nat.not_lt_zero, forall_const, and_true] },
have hp'': {i : ℕ | p i ∧ ∀ t, t < k → nth p t < i}.finite,
{ refine hp.subset (λ x hx, _),
rw set.mem_set_of_eq at hx,
exact hx.left },
have hle' := nat.sub_pos_of_lt hle,
specialize hk hp'' (k.le_succ.trans hle),
rw [nat.sub_succ', ←hk],
convert_to (finset.erase hp''.to_finset (nth p k)).card = _,
{ congr,
ext a,
simp only [set.finite.mem_to_finset, ne.def, set.mem_set_of_eq, finset.mem_erase],
refine ⟨λ ⟨hp, hlt⟩,
⟨(hlt _ (lt_add_one k)).ne', ⟨hp, λ n hn, hlt n (hn.trans_le k.le_succ)⟩⟩, _⟩,
rintro ⟨hak : _ ≠ _, hp, hlt⟩,
refine ⟨hp, λ n hn, _⟩,
rw lt_succ_iff at hn,
obtain hnk | rfl := hn.lt_or_eq,
{ exact hlt _ hnk },
{ refine lt_of_le_of_ne _ (ne.symm hak),
rw nth,
apply nat.Inf_le,
simpa [hp] using hlt } },
apply finset.card_erase_of_mem,
rw [nth, set.finite.mem_to_finset],
apply Inf_mem,
rwa [←hp''.to_finset_nonempty, ←finset.card_pos, hk],
end
lemma nth_set_card {n : ℕ} (hp : (set_of p).finite)
(hp' : {i : ℕ | p i ∧ ∀ k < n, nth p k < i}.finite) :
hp'.to_finset.card = hp.to_finset.card - n :=
begin
obtain hn | hn := le_or_lt n hp.to_finset.card,
{ exact nth_set_card_aux p hp _ hn },
rw nat.sub_eq_zero_of_le hn.le,
simp only [finset.card_eq_zero, set.finite.to_finset_eq_empty, ←set.subset_empty_iff],
convert_to _ ⊆ {i : ℕ | p i ∧ ∀ (k : ℕ), k < hp.to_finset.card → nth p k < i},
{ symmetry,
rw [←set.finite.to_finset_eq_empty, ←finset.card_eq_zero,
←nat.sub_self hp.to_finset.card],
{ apply nth_set_card_aux p hp _ le_rfl },
{ exact hp.subset (λ x hx, hx.1) } },
exact λ x hx, ⟨hx.1, λ k hk, hx.2 _ (hk.trans hn)⟩,
end
lemma nth_set_nonempty_of_lt_card {n : ℕ} (hp : (set_of p).finite) (hlt: n < hp.to_finset.card) :
{i : ℕ | p i ∧ ∀ k < n, nth p k < i}.nonempty :=
begin
have hp': {i : ℕ | p i ∧ ∀ (k : ℕ), k < n → nth p k < i}.finite,
{ exact hp.subset (λ x hx, hx.1) },
rw [←hp'.to_finset_nonempty, ←finset.card_pos, nth_set_card p hp],
exact nat.sub_pos_of_lt hlt,
end
lemma nth_mem_of_lt_card_finite_aux (n : ℕ) (hp : (set_of p).finite) (hlt : n < hp.to_finset.card) :
nth p n ∈ {i : ℕ | p i ∧ ∀ k < n, nth p k < i} :=
begin
rw nth,
apply Inf_mem,
exact nth_set_nonempty_of_lt_card _ _ hlt,
end
lemma nth_mem_of_lt_card_finite {n : ℕ} (hp : (set_of p).finite) (hlt : n < hp.to_finset.card) :
p (nth p n) := (nth_mem_of_lt_card_finite_aux p n hp hlt).1
lemma nth_strict_mono_of_finite {m n : ℕ} (hp : (set_of p).finite)
(hlt : n < hp.to_finset.card) (hmn : m < n) : nth p m < nth p n :=
(nth_mem_of_lt_card_finite_aux p _ hp hlt).2 _ hmn
lemma nth_mem_of_infinite_aux (hp : (set_of p).infinite) (n : ℕ) :
nth p n ∈ { i : ℕ | p i ∧ ∀ k < n, nth p k < i } :=
begin
rw nth,
apply Inf_mem,
let s : set ℕ := ⋃ (k < n), { i : ℕ | nth p k ≥ i },
convert_to ((set_of p) \ s).nonempty,
{ ext i,
simp },
refine (hp.diff $ (set.finite_lt_nat _).bUnion _).nonempty,
exact λ k h, set.finite_le_nat _,
end
lemma nth_mem_of_infinite (hp : (set_of p).infinite) (n : ℕ) : p (nth p n) :=
(nth_mem_of_infinite_aux p hp n).1
lemma nth_strict_mono (hp : (set_of p).infinite) : strict_mono (nth p) :=
λ a b, (nth_mem_of_infinite_aux p hp b).2 _
lemma nth_injective_of_infinite (hp : (set_of p).infinite) : function.injective (nth p) :=
begin
intros m n h,
wlog h' : m ≤ n,
{ exact (this p hp h.symm (le_of_not_le h')).symm },
rw le_iff_lt_or_eq at h',
obtain (h' | rfl) := h',
{ simpa [h] using nth_strict_mono p hp h' },
{ refl },
end
lemma nth_monotone (hp : (set_of p).infinite) : monotone (nth p) :=
(nth_strict_mono p hp).monotone
lemma nth_mono_of_finite {a b : ℕ} (hp : (set_of p).finite) (hb : b < hp.to_finset.card)
(hab : a ≤ b) : nth p a ≤ nth p b :=
begin
obtain rfl | h := hab.eq_or_lt,
{ exact le_rfl },
{ exact (nth_strict_mono_of_finite p hp hb h).le }
end
lemma le_nth_of_lt_nth_succ_finite {k a : ℕ} (hp : (set_of p).finite)
(hlt : k.succ < hp.to_finset.card) (h : a < nth p k.succ) (ha : p a) :
a ≤ nth p k :=
begin
by_contra' hak,
refine h.not_le _,
rw nth,
apply nat.Inf_le,
refine ⟨ha, λ n hn, lt_of_le_of_lt _ hak⟩,
exact nth_mono_of_finite p hp (k.le_succ.trans_lt hlt) (le_of_lt_succ hn),
end
lemma le_nth_of_lt_nth_succ_infinite {k a : ℕ} (hp : (set_of p).infinite)
(h : a < nth p k.succ) (ha : p a) :
a ≤ nth p k :=
begin
by_contra' hak,
refine h.not_le _,
rw nth,
apply nat.Inf_le,
exact ⟨ha, λ n hn, (nth_monotone p hp (le_of_lt_succ hn)).trans_lt hak⟩,
end
section count
variables [decidable_pred p]
@[simp] lemma count_nth_zero : count p (nth p 0) = 0 :=
begin
rw [count_eq_card_filter_range, finset.card_eq_zero, nth_zero],
ext a,
simp_rw [not_mem_empty, mem_filter, mem_range, iff_false],
rintro ⟨ha, hp⟩,
exact ha.not_le (nat.Inf_le hp),
end
lemma filter_range_nth_eq_insert_of_finite (hp : (set_of p).finite) {k : ℕ}
(hlt : k.succ < hp.to_finset.card) :
finset.filter p (finset.range (nth p k.succ)) =
insert (nth p k) (finset.filter p (finset.range (nth p k))) :=
begin
ext a,
simp_rw [mem_insert, mem_filter, mem_range],
split,
{ rintro ⟨ha, hpa⟩,
refine or_iff_not_imp_left.mpr (λ h, ⟨lt_of_le_of_ne _ h, hpa⟩),
exact le_nth_of_lt_nth_succ_finite p hp hlt ha hpa },
{ rintro (ha | ⟨ha, hpa⟩),
{ rw ha,
refine ⟨nth_strict_mono_of_finite p hp hlt (lt_add_one _), _⟩,
apply nth_mem_of_lt_card_finite p hp,
exact (k.le_succ).trans_lt hlt },
refine ⟨ha.trans _, hpa⟩,
exact nth_strict_mono_of_finite p hp hlt (lt_add_one _) }
end
lemma count_nth_of_lt_card_finite {n : ℕ} (hp : (set_of p).finite)
(hlt : n < hp.to_finset.card) : count p (nth p n) = n :=
begin
induction n with k hk,
{ exact count_nth_zero _ },
{ rw [count_eq_card_filter_range, filter_range_nth_eq_insert_of_finite p hp hlt,
finset.card_insert_of_not_mem, ←count_eq_card_filter_range, hk (lt_of_succ_lt hlt)],
simp, },
end
lemma filter_range_nth_eq_insert_of_infinite (hp : (set_of p).infinite) (k : ℕ) :
(finset.range (nth p k.succ)).filter p = insert (nth p k) ((finset.range (nth p k)).filter p) :=
begin
ext a,
simp_rw [mem_insert, mem_filter, mem_range],
split,
{ rintro ⟨ha, hpa⟩,
rw nth at ha,
refine or_iff_not_imp_left.mpr (λ hne, ⟨(le_of_not_lt $ λ h, _).lt_of_ne hne, hpa⟩),
exact ha.not_le (nat.Inf_le ⟨hpa, λ b hb, (nth_monotone p hp (le_of_lt_succ hb)).trans_lt h⟩) },
{ rintro (rfl | ⟨ha, hpa⟩),
{ exact ⟨nth_strict_mono p hp (lt_succ_self k), nth_mem_of_infinite p hp _⟩ },
{ exact ⟨ha.trans (nth_strict_mono p hp (lt_succ_self k)), hpa⟩ } }
end
lemma count_nth_of_infinite (hp : (set_of p).infinite) (n : ℕ) : count p (nth p n) = n :=
begin
induction n with k hk,
{ exact count_nth_zero _ },
{ rw [count_eq_card_filter_range, filter_range_nth_eq_insert_of_infinite p hp,
finset.card_insert_of_not_mem, ←count_eq_card_filter_range, hk],
simp, },
end
@[simp] lemma nth_count {n : ℕ} (hpn : p n) : nth p (count p n) = n :=
begin
obtain hp | hp := em (set_of p).finite,
{ refine count_injective _ hpn _,
{ apply nth_mem_of_lt_card_finite p hp,
exact count_lt_card hp hpn },
{ exact count_nth_of_lt_card_finite _ _ (count_lt_card hp hpn) } },
{ apply count_injective (nth_mem_of_infinite _ hp _) hpn,
apply count_nth_of_infinite p hp }
end
lemma nth_count_eq_Inf {n : ℕ} : nth p (count p n) = Inf {i : ℕ | p i ∧ n ≤ i} :=
begin
rw nth,
congr,
ext a,
simp only [set.mem_set_of_eq, and.congr_right_iff],
intro hpa,
refine ⟨λ h, _, λ hn k hk, lt_of_lt_of_le _ hn⟩,
{ by_contra ha,
simp only [not_le] at ha,
have hn : nth p (count p a) < a := h _ (count_strict_mono hpa ha),
rwa [nth_count p hpa, lt_self_iff_false] at hn },
{ apply (count_monotone p).reflect_lt,
convert hk,
obtain hp | hp : (set_of p).finite ∨ (set_of p).infinite := em (set_of p).finite,
{ rw count_nth_of_lt_card_finite _ hp,
exact hk.trans ((count_monotone _ hn).trans_lt (count_lt_card hp hpa)) },
{ apply count_nth_of_infinite p hp } }
end
lemma nth_count_le (hp : (set_of p).infinite) (n : ℕ) : n ≤ nth p (count p n) :=
begin
rw nth_count_eq_Inf,
suffices h : Inf {i : ℕ | p i ∧ n ≤ i} ∈ {i : ℕ | p i ∧ n ≤ i},
{ exact h.2 },
apply Inf_mem,
obtain ⟨m, hp, hn⟩ := hp.exists_gt n,
exact ⟨m, hp, hn.le⟩
end
lemma count_nth_gc (hp : (set_of p).infinite) : galois_connection (count p) (nth p) :=
begin
rintro x y,
rw [nth, le_cInf_iff ⟨0, λ _ _, nat.zero_le _⟩ ⟨nth p y, nth_mem_of_infinite_aux p hp y⟩],
dsimp,
refine ⟨_, λ h, _⟩,
{ rintro hy n ⟨hn, h⟩,
obtain hy' | rfl := hy.lt_or_eq,
{ exact (nth_count_le p hp x).trans (h (count p x) hy').le },
{ specialize h (count p n),
replace hn : nth p (count p n) = n := nth_count _ hn,
replace h : count p x ≤ count p n := by rwa [hn, lt_self_iff_false, imp_false, not_lt] at h,
refine (nth_count_le p hp x).trans _,
rw ← hn,
exact nth_monotone p hp h }, },
{ rw ←count_nth_of_infinite p hp y,
exact count_monotone _ (h (nth p y) ⟨nth_mem_of_infinite p hp y,
λ k hk, nth_strict_mono p hp hk⟩) }
end
lemma count_le_iff_le_nth (hp : (set_of p).infinite) {a b : ℕ} :
count p a ≤ b ↔ a ≤ nth p b := count_nth_gc p hp _ _
lemma lt_nth_iff_count_lt (hp : (set_of p).infinite) {a b : ℕ} :
a < count p b ↔ nth p a < b := lt_iff_lt_of_le_iff_le $ count_le_iff_le_nth p hp
lemma nth_lt_of_lt_count (n k : ℕ) (h : k < count p n) : nth p k < n :=
begin
obtain hp | hp := em (set_of p).finite,
{ refine (count_monotone p).reflect_lt _,
rwa count_nth_of_lt_card_finite p hp,
refine h.trans_le _,
rw count_eq_card_filter_range,
exact finset.card_le_of_subset (λ x hx, hp.mem_to_finset.2 (mem_filter.1 hx).2) },
{ rwa ← lt_nth_iff_count_lt _ hp }
end
lemma le_nth_of_count_le (n k : ℕ) (h: n ≤ nth p k) : count p n ≤ k :=
begin
by_contra hc,
apply not_lt.mpr h,
apply nth_lt_of_lt_count,
simpa using hc
end
end count
lemma nth_zero_of_nth_zero (h₀ : ¬p 0) {a b : ℕ} (hab : a ≤ b) (ha : nth p a = 0) :
nth p b = 0 :=
begin
rw [nth, Inf_eq_zero] at ⊢ ha,
cases ha,
{ exact (h₀ ha.1).elim },
{ refine or.inr (set.eq_empty_of_subset_empty $ λ x hx, _),
rw ←ha,
exact ⟨hx.1, λ k hk, hx.2 k $ hk.trans_le hab⟩ }
end
/-- When `p` is true infinitely often, `nth` agrees with `nat.subtype.order_iso_of_nat`. -/
lemma nth_eq_order_iso_of_nat (i : infinite (set_of p)) (n : ℕ) :
nth p n = nat.subtype.order_iso_of_nat (set_of p) n :=
begin
classical,
have hi := set.infinite_coe_iff.mp i,
induction n with k hk;
simp only [subtype.order_iso_of_nat_apply, subtype.of_nat, nat_zero_eq_zero],
{ rw [nat.subtype.coe_bot, nth_zero_of_exists], },
{ simp only [nat.subtype.succ, set.mem_set_of_eq, subtype.coe_mk, subtype.val_eq_coe],
rw [subtype.order_iso_of_nat_apply] at hk,
set b := nth p k.succ - nth p k - 1 with hb,
replace hb : p (↑(subtype.of_nat (set_of p) k) + b + 1),
{ rw [hb, ←hk, tsub_right_comm],
have hn11: nth p k.succ - 1 + 1 = nth p k.succ,
{ rw tsub_add_cancel_iff_le,
exact succ_le_of_lt (pos_of_gt (nth_strict_mono p hi (lt_add_one k))), },
rw add_tsub_cancel_of_le,
{ rw hn11,
apply nth_mem_of_infinite p hi },
{ rw [← lt_succ_iff, ← nat.add_one, hn11],
apply nth_strict_mono p hi,
exact lt_add_one k } },
have H : (∃ n: ℕ , p (↑(subtype.of_nat (set_of p) k) + n + 1)) := ⟨b, hb⟩,
set t := nat.find H with ht,
obtain ⟨hp, hmin⟩ := (nat.find_eq_iff _).mp ht,
rw [←ht, ←hk] at hp hmin ⊢,
rw [nth, Inf_def ⟨_, nth_mem_of_infinite_aux p hi k.succ⟩, nat.find_eq_iff],
refine ⟨⟨by convert hp, λ r hr, _⟩, λ n hn, _⟩,
{ rw lt_succ_iff at ⊢ hr,
exact (nth_monotone p hi hr).trans (by simp) },
simp only [exists_prop, not_and, not_lt, set.mem_set_of_eq, not_forall],
refine λ hpn, ⟨k, lt_add_one k, _⟩,
by_contra' hlt,
replace hn : n - nth p k - 1 < t,
{ rw tsub_lt_iff_left,
{ rw tsub_lt_iff_left hlt.le,
convert hn using 1,
ac_refl },
exact le_tsub_of_add_le_left (succ_le_of_lt hlt) },
refine hmin (n - nth p k - 1) hn _,
convert hpn,
have hn11 : n - 1 + 1 = n := nat.sub_add_cancel (pos_of_gt hlt),
rwa [tsub_right_comm, add_tsub_cancel_of_le],
rwa [←hn11, lt_succ_iff] at hlt },
end
end nat
|
0c2551fedc5e34fa9276d317d78bc4cc37710948 | d1a52c3f208fa42c41df8278c3d280f075eb020c | /stage0/src/Lean/Meta/Tactic/AuxLemma.lean | 1db2403fa42cf1a5e6d0f354e9836deb2d271af4 | [
"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 | cipher1024/lean4 | 6e1f98bb58e7a92b28f5364eb38a14c8d0aae393 | 69114d3b50806264ef35b57394391c3e738a9822 | refs/heads/master | 1,642,227,983,603 | 1,642,011,696,000 | 1,642,011,696,000 | 228,607,691 | 0 | 0 | Apache-2.0 | 1,576,584,269,000 | 1,576,584,268,000 | null | UTF-8 | Lean | false | false | 1,624 | 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.Basic
namespace Lean.Meta
structure AuxLemmas where
idx : Nat := 1
lemmas : Std.PHashMap Expr (Name × List Name) := {}
deriving Inhabited
builtin_initialize auxLemmasExt : EnvExtension AuxLemmas ← registerEnvExtension (pure {})
/--
Helper method for creating auxiliary lemmas in the environment.
It uses a cache that maps `type` to declaration name. The cache is not stored in `.olean` files.
It is useful to make sure the same auxiliary lemma is not created over and over again in the same file.
This method is useful for tactics (e.g., `simp`) that may perform preprocessing steps to lemmas provided by
users. For example, `simp` preprocessor may convert a lemma into multiple ones.
-/
def mkAuxLemma (levelParams : List Name) (type : Expr) (value : Expr) : MetaM Name := do
let env ← getEnv
let s ← auxLemmasExt.getState env
let mkNewAuxLemma := do
let auxName := Name.mkNum (env.mainModule ++ `_auxLemma) s.idx
addDecl <| Declaration.thmDecl {
name := auxName
levelParams := levelParams
type := type
value := value
}
modifyEnv fun env => auxLemmasExt.modifyState env fun ⟨idx, lemmas⟩ => ⟨idx + 1, lemmas.insert type (auxName, levelParams)⟩
return auxName
match s.lemmas.find? type with
| some (name, levelParams') => if levelParams == levelParams' then return name else mkNewAuxLemma
| none => mkNewAuxLemma
end Lean.Meta |
25055834c8d0d2d0d9b4bf7d983e432dab20db0a | ad0c7d243dc1bd563419e2767ed42fb323d7beea | /data/rat.lean | 41390e969e08cc139d0add28652f71f9a123b412 | [
"Apache-2.0"
] | permissive | sebzim4500/mathlib | e0b5a63b1655f910dee30badf09bd7e191d3cf30 | 6997cafbd3a7325af5cb318561768c316ceb7757 | refs/heads/master | 1,585,549,958,618 | 1,538,221,723,000 | 1,538,221,723,000 | 150,869,076 | 0 | 0 | Apache-2.0 | 1,538,229,323,000 | 1,538,229,323,000 | null | UTF-8 | Lean | false | false | 41,454 | 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
Introduces the rational numbers as discrete, linear ordered field.
-/
import
data.nat.gcd data.pnat data.int.basic data.equiv.encodable order.basic
algebra.ordered_field data.real.cau_seq
/- rational numbers -/
/-- `rat`, or `ℚ`, is the type of rational numbers. It is defined
as the set of pairs ⟨n, d⟩ of integers such that `d` is positive and `n` and
`d` are coprime. This representation is preferred to the quotient
because without periodic reduction, the numerator and denominator can grow
exponentially (for example, adding 1/2 to itself repeatedly). -/
structure rat := mk' ::
(num : ℤ)
(denom : ℕ)
(pos : denom > 0)
(cop : num.nat_abs.coprime denom)
notation `ℚ` := rat
namespace rat
protected def repr : ℚ → string
| ⟨n, d, _, _⟩ := if d = 1 then _root_.repr n else
_root_.repr n ++ "/" ++ _root_.repr d
instance : has_repr ℚ := ⟨rat.repr⟩
instance : has_to_string ℚ := ⟨rat.repr⟩
meta instance : has_to_format ℚ := ⟨coe ∘ rat.repr⟩
instance : encodable ℚ := encodable.of_equiv (Σ n : ℤ, {d : ℕ // d > 0 ∧ n.nat_abs.coprime d})
⟨λ ⟨a, b, c, d⟩, ⟨a, b, c, d⟩, λ⟨a, b, c, d⟩, ⟨a, b, c, d⟩,
λ ⟨a, b, c, d⟩, rfl, λ⟨a, b, c, d⟩, rfl⟩
/-- Embed an integer as a rational number -/
def of_int (n : ℤ) : ℚ :=
⟨n, 1, nat.one_pos, nat.coprime_one_right _⟩
instance : has_zero ℚ := ⟨of_int 0⟩
instance : has_one ℚ := ⟨of_int 1⟩
instance : inhabited ℚ := ⟨0⟩
/-- Form the quotient `n / d` where `n:ℤ` and `d:ℕ+` (not necessarily coprime) -/
def mk_pnat (n : ℤ) : ℕ+ → ℚ | ⟨d, dpos⟩ :=
let n' := n.nat_abs, g := n'.gcd d in
⟨n / g, d / g, begin
apply (nat.le_div_iff_mul_le _ _ (nat.gcd_pos_of_pos_right _ dpos)).2,
simp, exact nat.le_of_dvd dpos (nat.gcd_dvd_right _ _)
end, begin
have : int.nat_abs (n / ↑g) = n' / g,
{ cases int.nat_abs_eq n with e e; rw e, { refl },
rw [int.neg_div_of_dvd, int.nat_abs_neg], { refl },
exact int.coe_nat_dvd.2 (nat.gcd_dvd_left _ _) },
rw this,
exact nat.coprime_div_gcd_div_gcd (nat.gcd_pos_of_pos_right _ dpos)
end⟩
/-- Form the quotient `n / d` where `n:ℤ` and `d:ℕ`. In the case `d = 0`, we
define `n / 0 = 0` by convention. -/
def mk_nat (n : ℤ) (d : ℕ) : ℚ :=
if d0 : d = 0 then 0 else mk_pnat n ⟨d, nat.pos_of_ne_zero d0⟩
/-- Form the quotient `n / d` where `n d : ℤ`. -/
def mk : ℤ → ℤ → ℚ
| n (int.of_nat d) := mk_nat n d
| n -[1+ d] := mk_pnat (-n) d.succ_pnat
local infix ` /. `:70 := mk
theorem mk_pnat_eq (n d h) : mk_pnat n ⟨d, h⟩ = n /. d :=
by change n /. d with dite _ _ _; simp [ne_of_gt h]
theorem mk_nat_eq (n d) : mk_nat n d = n /. d := rfl
@[simp] theorem mk_zero (n) : n /. 0 = 0 := rfl
@[simp] theorem zero_mk_pnat (n) : mk_pnat 0 n = 0 :=
by cases n; simp [mk_pnat]; change int.nat_abs 0 with 0; simp *; refl
@[simp] theorem zero_mk_nat (n) : mk_nat 0 n = 0 :=
by by_cases n = 0; simp [*, mk_nat]
@[simp] theorem zero_mk (n) : 0 /. n = 0 :=
by cases n; simp [mk]
private lemma gcd_abs_dvd_left {a b} : (nat.gcd (int.nat_abs a) b : ℤ) ∣ a :=
int.dvd_nat_abs.1 $ int.coe_nat_dvd.2 $ nat.gcd_dvd_left (int.nat_abs a) b
@[simp] theorem mk_eq_zero {a b : ℤ} (b0 : b ≠ 0) : a /. b = 0 ↔ a = 0 :=
begin
constructor; intro h; [skip, {subst a, simp}],
have : ∀ {a b}, mk_pnat a b = 0 → a = 0,
{ intros a b e, cases b with b h,
injection e with e,
apply int.eq_mul_of_div_eq_right gcd_abs_dvd_left e },
cases b with b; simp [mk, mk_nat] at h,
{ simp [mt (congr_arg int.of_nat) b0] at h,
exact this h },
{ apply neg_inj, simp [this h] }
end
theorem mk_eq : ∀ {a b c d : ℤ} (hb : b ≠ 0) (hd : d ≠ 0),
a /. b = c /. d ↔ a * d = c * b :=
suffices ∀ a b c d hb hd, mk_pnat a ⟨b, hb⟩ = mk_pnat c ⟨d, hd⟩ ↔ a * d = c * b,
begin
intros, cases b with b b; simp [mk, mk_nat, nat.succ_pnat],
simp [mt (congr_arg int.of_nat) hb],
all_goals {
cases d with d d; simp [mk, mk_nat, nat.succ_pnat],
simp [mt (congr_arg int.of_nat) hd],
all_goals { rw this, try {refl} } },
{ change a * ↑(d.succ) = -c * ↑b ↔ a * -(d.succ) = c * b,
constructor; intro h; apply neg_inj; simpa [left_distrib, neg_add_eq_iff_eq_add,
eq_neg_iff_add_eq_zero, neg_eq_iff_add_eq_zero] using h },
{ change -a * ↑d = c * b.succ ↔ a * d = c * -b.succ,
constructor; intro h; apply neg_inj; simpa [left_distrib, eq_comm] using h },
{ change -a * d.succ = -c * b.succ ↔ a * -d.succ = c * -b.succ,
simp [left_distrib] }
end,
begin
intros, simp [mk_pnat], constructor; intro h,
{ cases h with ha hb,
have ha, {
have dv := @gcd_abs_dvd_left,
have := int.eq_mul_of_div_eq_right dv ha,
rw ← int.mul_div_assoc _ dv at this,
exact int.eq_mul_of_div_eq_left (dvd_mul_of_dvd_right dv _) this.symm },
have hb, {
have dv := λ {a b}, nat.gcd_dvd_right (int.nat_abs a) b,
have := nat.eq_mul_of_div_eq_right dv hb,
rw ← nat.mul_div_assoc _ dv at this,
exact nat.eq_mul_of_div_eq_left (dvd_mul_of_dvd_right dv _) this.symm },
have m0 : (a.nat_abs.gcd b * c.nat_abs.gcd d : ℤ) ≠ 0, {
refine int.coe_nat_ne_zero.2 (ne_of_gt _),
apply mul_pos; apply nat.gcd_pos_of_pos_right; assumption },
apply eq_of_mul_eq_mul_right m0,
simpa [mul_comm, mul_left_comm] using
congr (congr_arg (*) ha.symm) (congr_arg coe hb) },
{ suffices : ∀ a c, a * d = c * b →
a / a.gcd b = c / c.gcd d ∧ b / a.gcd b = d / c.gcd d,
{ cases this a.nat_abs c.nat_abs
(by simpa [int.nat_abs_mul] using congr_arg int.nat_abs h) with h₁ h₂,
have hs := congr_arg int.sign h,
simp [int.sign_eq_one_of_pos (int.coe_nat_lt.2 hb),
int.sign_eq_one_of_pos (int.coe_nat_lt.2 hd)] at hs,
conv in a { rw ← int.sign_mul_nat_abs a },
conv in c { rw ← int.sign_mul_nat_abs c },
rw [int.mul_div_assoc, int.mul_div_assoc],
exact ⟨congr (congr_arg (*) hs) (congr_arg coe h₁), h₂⟩,
all_goals { exact int.coe_nat_dvd.2 (nat.gcd_dvd_left _ _) } },
intros a c h,
suffices bd : b / a.gcd b = d / c.gcd d,
{ refine ⟨_, bd⟩,
apply nat.eq_of_mul_eq_mul_left hb,
rw [← nat.mul_div_assoc _ (nat.gcd_dvd_left _ _), mul_comm,
nat.mul_div_assoc _ (nat.gcd_dvd_right _ _), bd,
← nat.mul_div_assoc _ (nat.gcd_dvd_right _ _), h, mul_comm,
nat.mul_div_assoc _ (nat.gcd_dvd_left _ _)] },
suffices : ∀ {a c : ℕ} (b>0) (d>0),
a * d = c * b → b / a.gcd b ≤ d / c.gcd d,
{ exact le_antisymm (this _ hb _ hd h) (this _ hd _ hb h.symm) },
intros a c b hb d hd h,
have gb0 := nat.gcd_pos_of_pos_right a hb,
have gd0 := nat.gcd_pos_of_pos_right c hd,
apply nat.le_of_dvd,
apply (nat.le_div_iff_mul_le _ _ gd0).2,
simp, apply nat.le_of_dvd hd (nat.gcd_dvd_right _ _),
apply (nat.coprime_div_gcd_div_gcd gb0).symm.dvd_of_dvd_mul_left,
refine ⟨c / c.gcd d, _⟩,
rw [← nat.mul_div_assoc _ (nat.gcd_dvd_left _ _),
← nat.mul_div_assoc _ (nat.gcd_dvd_right _ _)],
apply congr_arg (/ c.gcd d),
rw [mul_comm, ← nat.mul_div_assoc _ (nat.gcd_dvd_left _ _),
mul_comm, h, nat.mul_div_assoc _ (nat.gcd_dvd_right _ _), mul_comm] }
end
@[simp] theorem div_mk_div_cancel_left {a b c : ℤ} (c0 : c ≠ 0) :
(a * c) /. (b * c) = a /. b :=
begin
by_cases b0 : b = 0, { subst b0, simp },
apply (mk_eq (mul_ne_zero b0 c0) b0).2, simp [mul_comm, mul_assoc]
end
theorem num_denom : ∀ a : ℚ, a = a.num /. a.denom
| ⟨n, d, h, (c:_=1)⟩ := show _ = mk_nat n d,
by simp [mk_nat, ne_of_gt h, mk_pnat, c]
theorem num_denom' (n d h c) : (⟨n, d, h, c⟩ : ℚ) = n /. d := num_denom _
@[elab_as_eliminator] theorem {u} num_denom_cases_on {C : ℚ → Sort u}
: ∀ (a : ℚ) (H : ∀ n d, d > 0 → (int.nat_abs n).coprime d → C (n /. d)), C a
| ⟨n, d, h, c⟩ H := by rw num_denom'; exact H n d h c
@[elab_as_eliminator] theorem {u} num_denom_cases_on' {C : ℚ → Sort u}
(a : ℚ) (H : ∀ (n:ℤ) (d:ℕ), d ≠ 0 → C (n /. d)) : C a :=
num_denom_cases_on a $ λ n d h c,
H n d $ ne_of_gt h
theorem num_dvd (a) {b : ℤ} (b0 : b ≠ 0) : (a /. b).num ∣ a :=
begin
cases e : a /. b with n d h c,
rw [rat.num_denom', rat.mk_eq b0
(ne_of_gt (int.coe_nat_pos.2 h))] at e,
refine (int.nat_abs_dvd.1 $ int.dvd_nat_abs.1 $ int.coe_nat_dvd.2 $
c.dvd_of_dvd_mul_right _),
have := congr_arg int.nat_abs e,
simp [int.nat_abs_mul, int.nat_abs_of_nat] at this, simp [this]
end
theorem denom_dvd (a b : ℤ) : ((a /. b).denom : ℤ) ∣ b :=
begin
by_cases b0 : b = 0, {simp [b0]},
cases e : a /. b with n d h c,
rw [num_denom', mk_eq b0 (ne_of_gt (int.coe_nat_pos.2 h))] at e,
refine (int.dvd_nat_abs.1 $ int.coe_nat_dvd.2 $ c.symm.dvd_of_dvd_mul_left _),
rw [← int.nat_abs_mul, ← int.coe_nat_dvd, int.dvd_nat_abs, ← e], simp
end
protected def add : ℚ → ℚ → ℚ
| ⟨n₁, d₁, h₁, c₁⟩ ⟨n₂, d₂, h₂, c₂⟩ := mk_pnat (n₁ * d₂ + n₂ * d₁) ⟨d₁ * d₂, mul_pos h₁ h₂⟩
instance : has_add ℚ := ⟨rat.add⟩
theorem lift_binop_eq (f : ℚ → ℚ → ℚ) (f₁ : ℤ → ℤ → ℤ → ℤ → ℤ) (f₂ : ℤ → ℤ → ℤ → ℤ → ℤ)
(fv : ∀ {n₁ d₁ h₁ c₁ n₂ d₂ h₂ c₂},
f ⟨n₁, d₁, h₁, c₁⟩ ⟨n₂, d₂, h₂, c₂⟩ = f₁ n₁ d₁ n₂ d₂ /. f₂ n₁ d₁ n₂ d₂)
(f0 : ∀ {n₁ d₁ n₂ d₂} (d₁0 : d₁ ≠ 0) (d₂0 : d₂ ≠ 0), f₂ n₁ d₁ n₂ d₂ ≠ 0)
(a b c d : ℤ) (b0 : b ≠ 0) (d0 : d ≠ 0)
(H : ∀ {n₁ d₁ n₂ d₂} (h₁ : a * d₁ = n₁ * b) (h₂ : c * d₂ = n₂ * d),
f₁ n₁ d₁ n₂ d₂ * f₂ a b c d = f₁ a b c d * f₂ n₁ d₁ n₂ d₂) :
f (a /. b) (c /. d) = f₁ a b c d /. f₂ a b c d :=
begin
generalize ha : a /. b = x, cases x with n₁ d₁ h₁ c₁, rw num_denom' at ha,
generalize hc : c /. d = x, cases x with n₂ d₂ h₂ c₂, rw num_denom' at hc,
rw fv,
have d₁0 := ne_of_gt (int.coe_nat_lt.2 h₁),
have d₂0 := ne_of_gt (int.coe_nat_lt.2 h₂),
exact (mk_eq (f0 d₁0 d₂0) (f0 b0 d0)).2 (H ((mk_eq b0 d₁0).1 ha) ((mk_eq d0 d₂0).1 hc))
end
@[simp] theorem add_def {a b c d : ℤ} (b0 : b ≠ 0) (d0 : d ≠ 0) :
a /. b + c /. d = (a * d + c * b) /. (b * d) :=
begin
apply lift_binop_eq rat.add; intros; try {assumption},
{ apply mk_pnat_eq },
{ apply mul_ne_zero d₁0 d₂0 },
calc (n₁ * d₂ + n₂ * d₁) * (b * d) =
(n₁ * b) * d₂ * d + (n₂ * d) * (d₁ * b) : by simp [mul_add, mul_comm, mul_left_comm]
... = (a * d₁) * d₂ * d + (c * d₂) * (d₁ * b) : by rw [h₁, h₂]
... = (a * d + c * b) * (d₁ * d₂) : by simp [mul_add, mul_comm, mul_left_comm]
end
protected def neg : ℚ → ℚ
| ⟨n, d, h, c⟩ := ⟨-n, d, h, by simp [c]⟩
instance : has_neg ℚ := ⟨rat.neg⟩
@[simp] theorem neg_def {a b : ℤ} : -(a /. b) = -a /. b :=
begin
by_cases b0 : b = 0, { subst b0, simp, refl },
generalize ha : a /. b = x, cases x with n₁ d₁ h₁ c₁, rw num_denom' at ha,
show rat.mk' _ _ _ _ = _, rw num_denom',
have d0 := ne_of_gt (int.coe_nat_lt.2 h₁),
apply (mk_eq d0 b0).2, have h₁ := (mk_eq b0 d0).1 ha,
simp only [neg_mul_eq_neg_mul_symm, congr_arg has_neg.neg h₁]
end
protected def mul : ℚ → ℚ → ℚ
| ⟨n₁, d₁, h₁, c₁⟩ ⟨n₂, d₂, h₂, c₂⟩ := mk_pnat (n₁ * n₂) ⟨d₁ * d₂, mul_pos h₁ h₂⟩
instance : has_mul ℚ := ⟨rat.mul⟩
@[simp] theorem mul_def {a b c d : ℤ} (b0 : b ≠ 0) (d0 : d ≠ 0) :
(a /. b) * (c /. d) = (a * c) /. (b * d) :=
begin
apply lift_binop_eq rat.mul; intros; try {assumption},
{ apply mk_pnat_eq },
{ apply mul_ne_zero d₁0 d₂0 },
cc
end
protected def inv : ℚ → ℚ
| ⟨(n+1:ℕ), d, h, c⟩ := ⟨d, n+1, n.succ_pos, c.symm⟩
| ⟨0, d, h, c⟩ := 0
| ⟨-[1+ n], d, h, c⟩ := ⟨-d, n+1, n.succ_pos, nat.coprime.symm $ by simp; exact c⟩
instance : has_inv ℚ := ⟨rat.inv⟩
@[simp] theorem inv_def {a b : ℤ} : (a /. b)⁻¹ = b /. a :=
begin
by_cases a0 : a = 0, { subst a0, simp, refl },
by_cases b0 : b = 0, { subst b0, simp, refl },
generalize ha : a /. b = x, cases x with n d h c, rw num_denom' at ha,
refine eq.trans (_ : rat.inv ⟨n, d, h, c⟩ = d /. n) _,
{ cases n with n; [cases n with n, skip],
{ refl },
{ change int.of_nat n.succ with (n+1:ℕ),
unfold rat.inv, rw num_denom' },
{ unfold rat.inv, rw num_denom', refl } },
have n0 : n ≠ 0,
{ refine mt (λ (n0 : n = 0), _) a0,
subst n0, simp at ha,
exact (mk_eq_zero b0).1 ha },
have d0 := ne_of_gt (int.coe_nat_lt.2 h),
have ha := (mk_eq b0 d0).1 ha,
apply (mk_eq n0 a0).2,
cc
end
variables (a b c : ℚ)
protected theorem add_zero : a + 0 = a :=
num_denom_cases_on' a $ λ n d h,
by rw [← zero_mk d]; simp [h, -zero_mk]
protected theorem zero_add : 0 + a = a :=
num_denom_cases_on' a $ λ n d h,
by rw [← zero_mk d]; simp [h, -zero_mk]
protected theorem add_comm : a + b = b + a :=
num_denom_cases_on' a $ λ n₁ d₁ h₁,
num_denom_cases_on' b $ λ n₂ d₂ h₂,
by simp [h₁, h₂, mul_comm]
protected theorem add_assoc : a + b + c = a + (b + c) :=
num_denom_cases_on' a $ λ n₁ d₁ h₁,
num_denom_cases_on' b $ λ n₂ d₂ h₂,
num_denom_cases_on' c $ λ n₃ d₃ h₃,
by simp [h₁, h₂, h₃, mul_ne_zero, mul_add, mul_comm, mul_left_comm, add_left_comm]
protected theorem add_left_neg : -a + a = 0 :=
num_denom_cases_on' a $ λ n d h,
by simp [h]
protected theorem mul_one : a * 1 = a :=
num_denom_cases_on' a $ λ n d h,
by change (1:ℚ) with 1 /. 1; simp [h]
protected theorem one_mul : 1 * a = a :=
num_denom_cases_on' a $ λ n d h,
by change (1:ℚ) with 1 /. 1; simp [h]
protected theorem mul_comm : a * b = b * a :=
num_denom_cases_on' a $ λ n₁ d₁ h₁,
num_denom_cases_on' b $ λ n₂ d₂ h₂,
by simp [h₁, h₂, mul_comm]
protected theorem mul_assoc : a * b * c = a * (b * c) :=
num_denom_cases_on' a $ λ n₁ d₁ h₁,
num_denom_cases_on' b $ λ n₂ d₂ h₂,
num_denom_cases_on' c $ λ n₃ d₃ h₃,
by simp [h₁, h₂, h₃, mul_ne_zero, mul_comm, mul_left_comm]
protected theorem add_mul : (a + b) * c = a * c + b * c :=
num_denom_cases_on' a $ λ n₁ d₁ h₁,
num_denom_cases_on' b $ λ n₂ d₂ h₂,
num_denom_cases_on' c $ λ n₃ d₃ h₃,
by simp [h₁, h₂, h₃, mul_ne_zero];
refine (div_mk_div_cancel_left (int.coe_nat_ne_zero.2 h₃)).symm.trans _;
simp [mul_add, mul_comm, mul_assoc, mul_left_comm]
protected theorem mul_add : a * (b + c) = a * b + a * c :=
by rw [rat.mul_comm, rat.add_mul, rat.mul_comm, rat.mul_comm c a]
protected theorem zero_ne_one : 0 ≠ (1:ℚ) :=
mt (λ (h : 0 = 1 /. 1), (mk_eq_zero one_ne_zero).1 h.symm) one_ne_zero
protected theorem mul_inv_cancel : a ≠ 0 → a * a⁻¹ = 1 :=
num_denom_cases_on' a $ λ n d h a0,
have n0 : n ≠ 0, from mt (by intro e; subst e; simp) a0,
by simp [h, n0, mul_comm]; exact
eq.trans (by simp) (@div_mk_div_cancel_left 1 1 _ n0)
protected theorem inv_mul_cancel (h : a ≠ 0) : a⁻¹ * a = 1 :=
eq.trans (rat.mul_comm _ _) (rat.mul_inv_cancel _ h)
instance : decidable_eq ℚ := by tactic.mk_dec_eq_instance
instance : discrete_field ℚ :=
{ zero := 0,
add := rat.add,
neg := rat.neg,
one := 1,
mul := rat.mul,
inv := rat.inv,
zero_add := rat.zero_add,
add_zero := rat.add_zero,
add_comm := rat.add_comm,
add_assoc := rat.add_assoc,
add_left_neg := rat.add_left_neg,
mul_one := rat.mul_one,
one_mul := rat.one_mul,
mul_comm := rat.mul_comm,
mul_assoc := rat.mul_assoc,
left_distrib := rat.mul_add,
right_distrib := rat.add_mul,
zero_ne_one := rat.zero_ne_one,
mul_inv_cancel := rat.mul_inv_cancel,
inv_mul_cancel := rat.inv_mul_cancel,
has_decidable_eq := rat.decidable_eq,
inv_zero := rfl }
/- Extra instances to short-circuit type class resolution -/
instance : field ℚ := by apply_instance
instance : division_ring ℚ := by apply_instance
instance : integral_domain ℚ := by apply_instance
-- TODO(Mario): this instance slows down data.real.basic
--instance : domain ℚ := by apply_instance
instance : nonzero_comm_ring ℚ := by apply_instance
instance : comm_ring ℚ := by apply_instance
--instance : ring ℚ := by apply_instance
instance : comm_semiring ℚ := by apply_instance
instance : semiring ℚ := by apply_instance
instance : add_comm_group ℚ := by apply_instance
instance : add_group ℚ := by apply_instance
instance : add_comm_monoid ℚ := by apply_instance
instance : add_monoid ℚ := by apply_instance
instance : add_left_cancel_semigroup ℚ := by apply_instance
instance : add_right_cancel_semigroup ℚ := by apply_instance
instance : add_comm_semigroup ℚ := by apply_instance
instance : add_semigroup ℚ := by apply_instance
instance : comm_monoid ℚ := by apply_instance
instance : monoid ℚ := by apply_instance
instance : comm_semigroup ℚ := by apply_instance
instance : semigroup ℚ := by apply_instance
theorem sub_def {a b c d : ℤ} (b0 : b ≠ 0) (d0 : d ≠ 0) :
a /. b - c /. d = (a * d - c * b) /. (b * d) :=
by simp [b0, d0]
protected def nonneg : ℚ → Prop
| ⟨n, d, h, c⟩ := n ≥ 0
@[simp] theorem mk_nonneg (a : ℤ) {b : ℤ} (h : b > 0) : (a /. b).nonneg ↔ a ≥ 0 :=
begin
generalize ha : a /. b = x, cases x with n₁ d₁ h₁ c₁, rw num_denom' at ha,
simp [rat.nonneg],
have d0 := int.coe_nat_lt.2 h₁,
have := (mk_eq (ne_of_gt h) (ne_of_gt d0)).1 ha,
constructor; intro h₂,
{ apply nonneg_of_mul_nonneg_right _ d0,
rw this, exact mul_nonneg h₂ (le_of_lt h) },
{ apply nonneg_of_mul_nonneg_right _ h,
rw ← this, exact mul_nonneg h₂ (int.coe_zero_le _) },
end
protected def nonneg_add {a b} : rat.nonneg a → rat.nonneg b → rat.nonneg (a + b) :=
num_denom_cases_on' a $ λ n₁ d₁ h₁,
num_denom_cases_on' b $ λ n₂ d₂ h₂,
begin
have d₁0 : (d₁:ℤ) > 0 := int.coe_nat_pos.2 (nat.pos_of_ne_zero h₁),
have d₂0 : (d₂:ℤ) > 0 := int.coe_nat_pos.2 (nat.pos_of_ne_zero h₂),
simp [d₁0, d₂0, h₁, h₂, mul_pos d₁0 d₂0],
intros n₁0 n₂0,
apply add_nonneg; apply mul_nonneg; {assumption <|> apply int.coe_zero_le}
end
protected def nonneg_mul {a b} : rat.nonneg a → rat.nonneg b → rat.nonneg (a * b) :=
num_denom_cases_on' a $ λ n₁ d₁ h₁,
num_denom_cases_on' b $ λ n₂ d₂ h₂,
begin
have d₁0 : (d₁:ℤ) > 0 := int.coe_nat_pos.2 (nat.pos_of_ne_zero h₁),
have d₂0 : (d₂:ℤ) > 0 := int.coe_nat_pos.2 (nat.pos_of_ne_zero h₂),
simp [d₁0, d₂0, h₁, h₂, mul_pos d₁0 d₂0],
exact mul_nonneg
end
protected def nonneg_antisymm {a} : rat.nonneg a → rat.nonneg (-a) → a = 0 :=
num_denom_cases_on' a $ λ n d h,
begin
have d0 : (d:ℤ) > 0 := int.coe_nat_pos.2 (nat.pos_of_ne_zero h),
simp [d0, h],
exact λ h₁ h₂, le_antisymm (nonpos_of_neg_nonneg h₂) h₁
end
protected def nonneg_total : rat.nonneg a ∨ rat.nonneg (-a) :=
by cases a with n; exact
or.imp_right neg_nonneg_of_nonpos (le_total 0 n)
instance decidable_nonneg : decidable (rat.nonneg a) :=
by cases a; unfold rat.nonneg; apply_instance
protected def le (a b : ℚ) := rat.nonneg (b - a)
instance : has_le ℚ := ⟨rat.le⟩
instance decidable_le : decidable_rel ((≤) : ℚ → ℚ → Prop)
| a b := show decidable (rat.nonneg (b - a)), by apply_instance
protected theorem le_def {a b c d : ℤ} (b0 : b > 0) (d0 : d > 0) :
a /. b ≤ c /. d ↔ a * d ≤ c * b :=
show rat.nonneg _ ↔ _,
by simpa [ne_of_gt b0, ne_of_gt d0, mul_pos b0 d0, mul_comm]
using @sub_nonneg _ _ (b * c) (a * d)
protected theorem le_refl : a ≤ a :=
show rat.nonneg (a - a), by rw sub_self; exact le_refl (0 : ℤ)
protected theorem le_total : a ≤ b ∨ b ≤ a :=
by have := rat.nonneg_total (b - a); rwa neg_sub at this
protected theorem le_antisymm {a b : ℚ} (hab : a ≤ b) (hba : b ≤ a) : a = b :=
by have := eq_neg_of_add_eq_zero (rat.nonneg_antisymm hba $ by simpa);
rwa neg_neg at this
protected theorem le_trans {a b c : ℚ} (hab : a ≤ b) (hbc : b ≤ c) : a ≤ c :=
have rat.nonneg (b - a + (c - b)), from rat.nonneg_add hab hbc,
have rat.nonneg (c - a + (b - b)), by simpa [-add_right_neg, add_left_comm],
by simpa
instance : decidable_linear_order ℚ :=
{ le := rat.le,
le_refl := rat.le_refl,
le_trans := @rat.le_trans,
le_antisymm := @rat.le_antisymm,
le_total := rat.le_total,
decidable_eq := by apply_instance,
decidable_le := assume a b, rat.decidable_nonneg (b - a) }
/- Extra instances to short-circuit type class resolution -/
instance : has_lt ℚ := by apply_instance
instance : lattice.distrib_lattice ℚ := by apply_instance
instance : lattice.lattice ℚ := by apply_instance
instance : lattice.semilattice_inf ℚ := by apply_instance
instance : lattice.semilattice_sup ℚ := by apply_instance
instance : lattice.has_inf ℚ := by apply_instance
instance : lattice.has_sup ℚ := by apply_instance
instance : linear_order ℚ := by apply_instance
instance : partial_order ℚ := by apply_instance
instance : preorder ℚ := by apply_instance
theorem nonneg_iff_zero_le {a} : rat.nonneg a ↔ 0 ≤ a :=
show rat.nonneg a ↔ rat.nonneg (a - 0), by simp
theorem num_nonneg_iff_zero_le : ∀ {a : ℚ}, 0 ≤ a.num ↔ 0 ≤ a
| ⟨n, d, h, c⟩ := @nonneg_iff_zero_le ⟨n, d, h, c⟩
theorem mk_le {a b c d : ℤ} (h₁ : b > 0) (h₂ : d > 0) :
a /. b ≤ c /. d ↔ a * d ≤ c * b :=
by conv in (_ ≤ _) {
simp only [(≤), rat.le],
rw [sub_def (ne_of_gt h₂) (ne_of_gt h₁),
mk_nonneg _ (mul_pos h₂ h₁), ge, sub_nonneg] }
protected theorem add_le_add_left {a b c : ℚ} : c + a ≤ c + b ↔ a ≤ b :=
by unfold has_le.le rat.le; rw add_sub_add_left_eq_sub
protected theorem mul_nonneg {a b : ℚ} (ha : 0 ≤ a) (hb : 0 ≤ b) : 0 ≤ a * b :=
by rw ← nonneg_iff_zero_le at ha hb ⊢; exact rat.nonneg_mul ha hb
instance : discrete_linear_ordered_field ℚ :=
{ zero_lt_one := dec_trivial,
add_le_add_left := assume a b ab c, rat.add_le_add_left.2 ab,
add_lt_add_left := assume a b ab c, lt_of_not_ge $ λ ba,
not_le_of_lt ab $ rat.add_le_add_left.1 ba,
mul_nonneg := @rat.mul_nonneg,
mul_pos := assume a b ha hb, lt_of_le_of_ne
(rat.mul_nonneg (le_of_lt ha) (le_of_lt hb))
(mul_ne_zero (ne_of_lt ha).symm (ne_of_lt hb).symm).symm,
..rat.discrete_field, ..rat.decidable_linear_order }
/- Extra instances to short-circuit type class resolution -/
instance : linear_ordered_field ℚ := by apply_instance
instance : decidable_linear_ordered_comm_ring ℚ := by apply_instance
instance : linear_ordered_comm_ring ℚ := by apply_instance
instance : linear_ordered_ring ℚ := by apply_instance
instance : ordered_ring ℚ := by apply_instance
instance : decidable_linear_ordered_semiring ℚ := by apply_instance
instance : linear_ordered_semiring ℚ := by apply_instance
instance : ordered_semiring ℚ := by apply_instance
instance : decidable_linear_ordered_comm_group ℚ := by apply_instance
instance : ordered_comm_group ℚ := by apply_instance
instance : ordered_cancel_comm_monoid ℚ := by apply_instance
instance : ordered_comm_monoid ℚ := by apply_instance
theorem num_pos_iff_pos {a : ℚ} : 0 < a.num ↔ 0 < a :=
le_iff_le_iff_lt_iff_lt.1 $
by simpa [(by cases a; refl : (-a).num = -a.num)]
using @num_nonneg_iff_zero_le (-a)
theorem of_int_eq_mk (z : ℤ) : of_int z = z /. 1 := num_denom' _ _ _ _
theorem coe_int_eq_mk : ∀ z : ℤ, ↑z = z /. 1
| (n : ℕ) := show (n:ℚ) = n /. 1,
by induction n with n IH n; simp [*, show (1:ℚ) = 1 /. 1, from rfl]
| -[1+ n] := show (-(n + 1) : ℚ) = -[1+ n] /. 1, begin
induction n with n IH, {refl},
show -(n + 1 + 1 : ℚ) = -[1+ n.succ] /. 1,
rw [neg_add, IH],
simpa [show -1 = (-1) /. 1, from rfl]
end
theorem coe_int_eq_of_int (z : ℤ) : ↑z = of_int z :=
(coe_int_eq_mk z).trans (of_int_eq_mk z).symm
theorem mk_eq_div (n d : ℤ) : n /. d = (n / d : ℚ) :=
begin
by_cases d0 : d = 0, {simp [d0, div_zero]},
rw [division_def, coe_int_eq_mk, coe_int_eq_mk, inv_def,
mul_def one_ne_zero d0, one_mul, mul_one]
end
/-- `floor q` is the largest integer `z` such that `z ≤ q` -/
def floor : ℚ → ℤ
| ⟨n, d, h, c⟩ := n / d
theorem le_floor {z : ℤ} : ∀ {r : ℚ}, z ≤ floor r ↔ (z : ℚ) ≤ r
| ⟨n, d, h, c⟩ := begin
simp [floor],
rw [num_denom'],
have h' := int.coe_nat_lt.2 h,
conv { to_rhs,
rw [coe_int_eq_mk, mk_le zero_lt_one h', mul_one] },
exact int.le_div_iff_mul_le h'
end
theorem floor_lt {r : ℚ} {z : ℤ} : floor r < z ↔ r < z :=
le_iff_le_iff_lt_iff_lt.1 le_floor
theorem floor_le (r : ℚ) : (floor r : ℚ) ≤ r :=
le_floor.1 (le_refl _)
theorem lt_succ_floor (r : ℚ) : r < (floor r).succ :=
floor_lt.1 $ int.lt_succ_self _
@[simp] theorem floor_coe (z : ℤ) : floor z = z :=
eq_of_forall_le_iff $ λ a, by rw [le_floor, int.cast_le]
theorem floor_mono {a b : ℚ} (h : a ≤ b) : floor a ≤ floor b :=
le_floor.2 (le_trans (floor_le _) h)
@[simp] theorem floor_add_int (r : ℚ) (z : ℤ) : floor (r + z) = floor r + z :=
eq_of_forall_le_iff $ λ a, by rw [le_floor,
← sub_le_iff_le_add, ← sub_le_iff_le_add, le_floor, int.cast_sub]
theorem floor_sub_int (r : ℚ) (z : ℤ) : floor (r - z) = floor r - z :=
eq.trans (by rw [int.cast_neg]; refl) (floor_add_int _ _)
/-- `ceil q` is the smallest integer `z` such that `q ≤ z` -/
def ceil (r : ℚ) : ℤ :=
-(floor (-r))
theorem ceil_le {z : ℤ} {r : ℚ} : ceil r ≤ z ↔ r ≤ z :=
by rw [ceil, neg_le, le_floor, int.cast_neg, neg_le_neg_iff]
theorem le_ceil (r : ℚ) : r ≤ ceil r :=
ceil_le.1 (le_refl _)
@[simp] theorem ceil_coe (z : ℤ) : ceil z = z :=
by rw [ceil, ← int.cast_neg, floor_coe, neg_neg]
theorem ceil_mono {a b : ℚ} (h : a ≤ b) : ceil a ≤ ceil b :=
ceil_le.2 (le_trans h (le_ceil _))
@[simp] theorem ceil_add_int (r : ℚ) (z : ℤ) : ceil (r + z) = ceil r + z :=
by rw [ceil, neg_add', floor_sub_int, neg_sub, sub_eq_neg_add]; refl
theorem ceil_sub_int (r : ℚ) (z : ℤ) : ceil (r - z) = ceil r - z :=
eq.trans (by rw [int.cast_neg]; refl) (ceil_add_int _ _)
/- cast (injection into fields) -/
section cast
variables {α : Type*}
section
variables [division_ring α]
/-- Construct the canonical injection from `ℚ` into an arbitrary
division ring. If the field has positive characteristic `p`,
we define `1 / p = 1 / 0 = 0` for consistency with our
division by zero convention. -/
protected def cast : ℚ → α
| ⟨n, d, h, c⟩ := n / d
@[priority 0] instance cast_coe : has_coe ℚ α := ⟨rat.cast⟩
@[simp] theorem cast_of_int (n : ℤ) : (of_int n : α) = n :=
show (n / (1:ℕ) : α) = n, by rw [nat.cast_one, div_one]
@[simp] theorem cast_coe_int (n : ℤ) : ((n : ℚ) : α) = n :=
by rw [coe_int_eq_of_int, cast_of_int]
@[simp] theorem coe_int_num (n : ℤ) : (n : ℚ).num = n :=
by rw coe_int_eq_of_int; refl
@[simp] theorem coe_int_denom (n : ℤ) : (n : ℚ).denom = 1 :=
by rw coe_int_eq_of_int; refl
@[simp] theorem coe_nat_num (n : ℕ) : (n : ℚ).num = n :=
by rw [← int.cast_coe_nat, coe_int_num]
@[simp] theorem coe_nat_denom (n : ℕ) : (n : ℚ).denom = 1 :=
by rw [← int.cast_coe_nat, coe_int_denom]
@[simp] theorem cast_coe_nat (n : ℕ) : ((n : ℚ) : α) = n := cast_coe_int n
@[simp] theorem cast_zero : ((0 : ℚ) : α) = 0 :=
(cast_of_int _).trans int.cast_zero
@[simp] theorem cast_one : ((1 : ℚ) : α) = 1 :=
(cast_of_int _).trans int.cast_one
theorem mul_cast_comm (a : α) :
∀ (n : ℚ), (n.denom : α) ≠ 0 → a * n = n * a
| ⟨n, d, h, c⟩ h₂ := show a * (n * d⁻¹) = n * d⁻¹ * a,
by rw [← mul_assoc, int.mul_cast_comm, mul_assoc, mul_assoc,
← show (d:α)⁻¹ * a = a * d⁻¹, from
division_ring.inv_comm_of_comm h₂ (int.mul_cast_comm a d).symm]
theorem cast_mk_of_ne_zero (a b : ℤ)
(b0 : (b:α) ≠ 0) : (a /. b : α) = a / b :=
begin
have b0' : b ≠ 0, { refine mt _ b0, simp {contextual := tt} },
cases e : a /. b with n d h c,
have d0 : (d:α) ≠ 0,
{ intro d0,
have dd := denom_dvd a b,
cases (show (d:ℤ) ∣ b, by rwa e at dd) with k ke,
have : (b:α) = (d:α) * (k:α), {rw [ke, int.cast_mul], refl},
rw [d0, zero_mul] at this, contradiction },
rw [num_denom'] at e,
have := congr_arg (coe : ℤ → α) ((mk_eq b0' $ ne_of_gt $ int.coe_nat_pos.2 h).1 e),
rw [int.cast_mul, int.cast_mul, int.cast_coe_nat] at this,
symmetry, change (a * b⁻¹ : α) = n / d,
rw [eq_div_iff_mul_eq _ _ d0, mul_assoc, nat.mul_cast_comm,
← mul_assoc, this, mul_assoc, mul_inv_cancel b0, mul_one]
end
theorem cast_add_of_ne_zero : ∀ {m n : ℚ},
(m.denom : α) ≠ 0 → (n.denom : α) ≠ 0 → ((m + n : ℚ) : α) = m + n
| ⟨n₁, d₁, h₁, c₁⟩ ⟨n₂, d₂, h₂, c₂⟩ := λ (d₁0 : (d₁:α) ≠ 0) (d₂0 : (d₂:α) ≠ 0), begin
have d₁0' : (d₁:ℤ) ≠ 0 := int.coe_nat_ne_zero.2 (λ e, by rw e at d₁0; exact d₁0 rfl),
have d₂0' : (d₂:ℤ) ≠ 0 := int.coe_nat_ne_zero.2 (λ e, by rw e at d₂0; exact d₂0 rfl),
rw [num_denom', num_denom', add_def d₁0' d₂0'],
suffices : (n₁ * (d₂ * (d₂⁻¹ * d₁⁻¹)) +
n₂ * (d₁ * d₂⁻¹) * d₁⁻¹ : α) = n₁ * d₁⁻¹ + n₂ * d₂⁻¹,
{ rw [cast_mk_of_ne_zero, cast_mk_of_ne_zero, cast_mk_of_ne_zero],
{ simpa [division_def, left_distrib, right_distrib, mul_inv_eq,
d₁0, d₂0, division_ring.mul_ne_zero d₁0 d₂0, mul_assoc] },
all_goals {simp [d₁0, d₂0, division_ring.mul_ne_zero d₁0 d₂0]} },
rw [← mul_assoc (d₂:α), mul_inv_cancel d₂0, one_mul,
← nat.mul_cast_comm], simp [d₁0, mul_assoc]
end
@[simp] theorem cast_neg : ∀ n, ((-n : ℚ) : α) = -n
| ⟨n, d, h, c⟩ := show (↑-n * d⁻¹ : α) = -(n * d⁻¹),
by rw [int.cast_neg, neg_mul_eq_neg_mul]
theorem cast_sub_of_ne_zero {m n : ℚ}
(m0 : (m.denom : α) ≠ 0) (n0 : (n.denom : α) ≠ 0) : ((m - n : ℚ) : α) = m - n :=
have ((-n).denom : α) ≠ 0, by cases n; exact n0,
by simp [m0, this, cast_add_of_ne_zero]
theorem cast_mul_of_ne_zero : ∀ {m n : ℚ},
(m.denom : α) ≠ 0 → (n.denom : α) ≠ 0 → ((m * n : ℚ) : α) = m * n
| ⟨n₁, d₁, h₁, c₁⟩ ⟨n₂, d₂, h₂, c₂⟩ := λ (d₁0 : (d₁:α) ≠ 0) (d₂0 : (d₂:α) ≠ 0), begin
have d₁0' : (d₁:ℤ) ≠ 0 := int.coe_nat_ne_zero.2 (λ e, by rw e at d₁0; exact d₁0 rfl),
have d₂0' : (d₂:ℤ) ≠ 0 := int.coe_nat_ne_zero.2 (λ e, by rw e at d₂0; exact d₂0 rfl),
rw [num_denom', num_denom', mul_def d₁0' d₂0'],
suffices : (n₁ * ((n₂ * d₂⁻¹) * d₁⁻¹) : α) = n₁ * (d₁⁻¹ * (n₂ * d₂⁻¹)),
{ rw [cast_mk_of_ne_zero, cast_mk_of_ne_zero, cast_mk_of_ne_zero],
{ simpa [division_def, mul_inv_eq, d₁0, d₂0, division_ring.mul_ne_zero d₁0 d₂0, mul_assoc] },
all_goals {simp [d₁0, d₂0, division_ring.mul_ne_zero d₁0 d₂0]} },
rw [division_ring.inv_comm_of_comm d₁0 (nat.mul_cast_comm _ _).symm]
end
theorem cast_inv_of_ne_zero : ∀ {n : ℚ},
(n.num : α) ≠ 0 → (n.denom : α) ≠ 0 → ((n⁻¹ : ℚ) : α) = n⁻¹
| ⟨n, d, h, c⟩ := λ (n0 : (n:α) ≠ 0) (d0 : (d:α) ≠ 0), begin
have n0' : (n:ℤ) ≠ 0 := λ e, by rw e at n0; exact n0 rfl,
have d0' : (d:ℤ) ≠ 0 := int.coe_nat_ne_zero.2 (λ e, by rw e at d0; exact d0 rfl),
rw [num_denom', inv_def],
rw [cast_mk_of_ne_zero, cast_mk_of_ne_zero, inv_div];
simp [n0, d0]
end
theorem cast_div_of_ne_zero {m n : ℚ} (md : (m.denom : α) ≠ 0)
(nn : (n.num : α) ≠ 0) (nd : (n.denom : α) ≠ 0) : ((m / n : ℚ) : α) = m / n :=
have (n⁻¹.denom : ℤ) ∣ n.num,
by conv in n⁻¹.denom { rw [num_denom n, inv_def] };
apply denom_dvd,
have (n⁻¹.denom : α) = 0 → (n.num : α) = 0, from
λ h, let ⟨k, e⟩ := this in
by have := congr_arg (coe : ℤ → α) e;
rwa [int.cast_mul, int.cast_coe_nat, h, zero_mul] at this,
by rw [division_def, cast_mul_of_ne_zero md (mt this nn), cast_inv_of_ne_zero nn nd, division_def]
@[simp] theorem cast_inj [char_zero α] : ∀ {m n : ℚ}, (m : α) = n ↔ m = n
| ⟨n₁, d₁, h₁, c₁⟩ ⟨n₂, d₂, h₂, c₂⟩ := begin
refine ⟨λ h, _, congr_arg _⟩,
have d₁0 : d₁ ≠ 0 := ne_of_gt h₁,
have d₂0 : d₂ ≠ 0 := ne_of_gt h₂,
have d₁a : (d₁:α) ≠ 0 := nat.cast_ne_zero.2 d₁0,
have d₂a : (d₂:α) ≠ 0 := nat.cast_ne_zero.2 d₂0,
rw [num_denom', num_denom'] at h ⊢,
rw [cast_mk_of_ne_zero, cast_mk_of_ne_zero] at h; simp [d₁0, d₂0] at h ⊢,
rwa [eq_div_iff_mul_eq _ _ d₂a, division_def, mul_assoc,
division_ring.inv_comm_of_comm d₁a (nat.mul_cast_comm _ _),
← mul_assoc, ← division_def, eq_comm, eq_div_iff_mul_eq _ _ d₁a, eq_comm,
← int.cast_coe_nat, ← int.cast_mul, ← int.cast_coe_nat, ← int.cast_mul,
int.cast_inj, ← mk_eq (int.coe_nat_ne_zero.2 d₁0) (int.coe_nat_ne_zero.2 d₂0)] at h
end
theorem cast_injective [char_zero α] : function.injective (coe : ℚ → α)
| m n := cast_inj.1
@[simp] theorem cast_eq_zero [char_zero α] {n : ℚ} : (n : α) = 0 ↔ n = 0 :=
by rw [← cast_zero, cast_inj]
@[simp] theorem cast_ne_zero [char_zero α] {n : ℚ} : (n : α) ≠ 0 ↔ n ≠ 0 :=
not_congr cast_eq_zero
theorem eq_cast_of_ne_zero (f : ℚ → α) (H1 : f 1 = 1)
(Hadd : ∀ x y, f (x + y) = f x + f y)
(Hmul : ∀ x y, f (x * y) = f x * f y) :
∀ n : ℚ, (n.denom : α) ≠ 0 → f n = n
| ⟨n, d, h, c⟩ := λ (h₂ : ((d:ℤ):α) ≠ 0), show _ = (n / (d:ℤ) : α), begin
rw [num_denom', mk_eq_div, eq_div_iff_mul_eq _ _ h₂],
have : ∀ n : ℤ, f n = n, { apply int.eq_cast; simp [H1, Hadd] },
rw [← this, ← this, ← Hmul, div_mul_cancel],
exact int.cast_ne_zero.2 (int.coe_nat_ne_zero.2 $ ne_of_gt h),
end
theorem eq_cast [char_zero α] (f : ℚ → α) (H1 : f 1 = 1)
(Hadd : ∀ x y, f (x + y) = f x + f y)
(Hmul : ∀ x y, f (x * y) = f x * f y) (n : ℚ) : f n = n :=
eq_cast_of_ne_zero _ H1 Hadd Hmul _ $
nat.cast_ne_zero.2 $ ne_of_gt n.pos
end
theorem cast_mk [discrete_field α] [char_zero α] (a b : ℤ) : ((a /. b) : α) = a / b :=
if b0 : b = 0 then by simp [b0, div_zero]
else cast_mk_of_ne_zero a b (int.cast_ne_zero.2 b0)
@[simp] theorem cast_add [division_ring α] [char_zero α] (m n) : ((m + n : ℚ) : α) = m + n :=
cast_add_of_ne_zero (nat.cast_ne_zero.2 $ ne_of_gt m.pos) (nat.cast_ne_zero.2 $ ne_of_gt n.pos)
@[simp] theorem cast_sub [division_ring α] [char_zero α] (m n) : ((m - n : ℚ) : α) = m - n :=
cast_sub_of_ne_zero (nat.cast_ne_zero.2 $ ne_of_gt m.pos) (nat.cast_ne_zero.2 $ ne_of_gt n.pos)
@[simp] theorem cast_mul [division_ring α] [char_zero α] (m n) : ((m * n : ℚ) : α) = m * n :=
cast_mul_of_ne_zero (nat.cast_ne_zero.2 $ ne_of_gt m.pos) (nat.cast_ne_zero.2 $ ne_of_gt n.pos)
@[simp] theorem cast_inv [discrete_field α] [char_zero α] (n) : ((n⁻¹ : ℚ) : α) = n⁻¹ :=
if n0 : n.num = 0 then
by simp [show n = 0, by rw [num_denom n, n0]; simp, inv_zero] else
cast_inv_of_ne_zero (int.cast_ne_zero.2 n0) (nat.cast_ne_zero.2 $ ne_of_gt n.pos)
@[simp] theorem cast_div [discrete_field α] [char_zero α] (m n) : ((m / n : ℚ) : α) = m / n :=
by rw [division_def, cast_mul, cast_inv, division_def]
@[simp] theorem cast_bit0 [division_ring α] [char_zero α] (n : ℚ) : ((bit0 n : ℚ) : α) = bit0 n := cast_add _ _
@[simp] theorem cast_bit1 [division_ring α] [char_zero α] (n : ℚ) : ((bit1 n : ℚ) : α) = bit1 n :=
by rw [bit1, cast_add, cast_one, cast_bit0]; refl
@[simp] theorem cast_nonneg [linear_ordered_field α] : ∀ {n : ℚ}, 0 ≤ (n : α) ↔ 0 ≤ n
| ⟨n, d, h, c⟩ := show 0 ≤ (n * d⁻¹ : α) ↔ 0 ≤ (⟨n, d, h, c⟩ : ℚ),
by rw [num_denom', ← nonneg_iff_zero_le, mk_nonneg _ (int.coe_nat_pos.2 h),
mul_nonneg_iff_right_nonneg_of_pos (@inv_pos α _ _ (nat.cast_pos.2 h)),
int.cast_nonneg]
@[simp] theorem cast_le [linear_ordered_field α] {m n : ℚ} : (m : α) ≤ n ↔ m ≤ n :=
by rw [← sub_nonneg, ← cast_sub, cast_nonneg, sub_nonneg]
@[simp] theorem cast_lt [linear_ordered_field α] {m n : ℚ} : (m : α) < n ↔ m < n :=
by simpa [-cast_le] using not_congr (@cast_le α _ n m)
@[simp] theorem cast_nonpos [linear_ordered_field α] {n : ℚ} : (n : α) ≤ 0 ↔ n ≤ 0 :=
by rw [← cast_zero, cast_le]
@[simp] theorem cast_pos [linear_ordered_field α] {n : ℚ} : (0 : α) < n ↔ 0 < n :=
by rw [← cast_zero, cast_lt]
@[simp] theorem cast_lt_zero [linear_ordered_field α] {n : ℚ} : (n : α) < 0 ↔ n < 0 :=
by rw [← cast_zero, cast_lt]
@[simp] theorem cast_id : ∀ n : ℚ, ↑n = n
| ⟨n, d, h, c⟩ := show (n / (d : ℤ) : ℚ) = _, by rw [num_denom', mk_eq_div]
@[simp] theorem cast_min [discrete_linear_ordered_field α] {a b : ℚ} : (↑(min a b) : α) = min a b :=
by by_cases a ≤ b; simp [h, min]
@[simp] theorem cast_max [discrete_linear_ordered_field α] {a b : ℚ} : (↑(max a b) : α) = max a b :=
by by_cases a ≤ b; simp [h, max]
@[simp] theorem cast_abs [discrete_linear_ordered_field α] {q : ℚ} : ((abs q : ℚ) : α) = abs q :=
by simp [abs]
end cast
/- nat ceiling -/
/-- `nat_ceil q` is the smallest nonnegative integer `n` with `q ≤ n`.
It is the same as `ceil q` when `q ≥ 0`, otherwise it is `0`. -/
def nat_ceil (q : ℚ) : ℕ := int.to_nat (ceil q)
theorem nat_ceil_le {q : ℚ} {n : ℕ} : nat_ceil q ≤ n ↔ q ≤ n :=
by rw [nat_ceil, int.to_nat_le, ceil_le]; refl
theorem lt_nat_ceil {q : ℚ} {n : ℕ} : n < nat_ceil q ↔ (n : ℚ) < q :=
not_iff_not.1 $ by rw [not_lt, not_lt, nat_ceil_le]
theorem le_nat_ceil (q : ℚ) : q ≤ nat_ceil q :=
nat_ceil_le.1 (le_refl _)
theorem nat_ceil_mono {q₁ q₂ : ℚ} (h : q₁ ≤ q₂) : nat_ceil q₁ ≤ nat_ceil q₂ :=
nat_ceil_le.2 (le_trans h (le_nat_ceil _))
@[simp] theorem nat_ceil_coe (n : ℕ) : nat_ceil n = n :=
show (ceil (n:ℤ)).to_nat = n, by rw [ceil_coe]; refl
@[simp] theorem nat_ceil_zero : nat_ceil 0 = 0 := nat_ceil_coe 0
theorem nat_ceil_add_nat {q : ℚ} (hq : 0 ≤ q) (n : ℕ) : nat_ceil (q + n) = nat_ceil q + n :=
show int.to_nat (ceil (q + (n:ℤ))) = int.to_nat (ceil q) + n,
by rw [ceil_add_int]; exact
match ceil q, int.eq_coe_of_zero_le (ceil_mono hq) with
| _, ⟨m, rfl⟩ := rfl
end
theorem nat_ceil_lt_add_one {q : ℚ} (hq : q ≥ 0) : ↑(nat_ceil q) < q + 1 :=
lt_nat_ceil.1 $ by rw [
show nat_ceil (q+1) = nat_ceil q+1, from nat_ceil_add_nat hq 1]; apply nat.lt_succ_self
@[simp] lemma denom_neg_eq_denom : ∀ q : ℚ, (-q).denom = q.denom
| ⟨_, d, _, _⟩ := rfl
@[simp] lemma num_neg_eq_neg_num : ∀ q : ℚ, (-q).num = -(q.num)
| ⟨n, _, _, _⟩ := rfl
@[simp] lemma num_zero : rat.num 0 = 0 := rfl
lemma zero_of_num_zero {q : ℚ} (hq : q.num = 0) : q = 0 :=
have q = q.num /. q.denom, from num_denom _,
by simpa [hq]
lemma num_ne_zero_of_ne_zero {q : ℚ} (h : q ≠ 0) : q.num ≠ 0 :=
assume : q.num = 0,
h $ zero_of_num_zero this
lemma denom_ne_zero (q : ℚ) : q.denom ≠ 0 :=
ne_of_gt q.pos
lemma mk_num_ne_zero_of_ne_zero {q : ℚ} {n d : ℤ} (hq : q ≠ 0) (hqnd : q = n /. d) : n ≠ 0 :=
assume : n = 0,
hq $ by simpa [this] using hqnd
lemma mk_denom_ne_zero_of_ne_zero {q : ℚ} {n d : ℤ} (hq : q ≠ 0) (hqnd : q = n /. d) : d ≠ 0 :=
assume : d = 0,
hq $ by simpa [this] using hqnd
lemma mk_ne_zero_of_ne_zero {n d : ℤ} (h : n ≠ 0) (hd : d ≠ 0) : n /. d ≠ 0 :=
assume : n /. d = 0,
h $ (mk_eq_zero hd).1 this
lemma mul_num_denom (q r : ℚ) : q * r = (q.num * r.num) /. ↑(q.denom * r.denom) :=
have hq' : (↑q.denom : ℤ) ≠ 0, by have := denom_ne_zero q; simpa,
have hr' : (↑r.denom : ℤ) ≠ 0, by have := denom_ne_zero r; simpa,
suffices (q.num /. ↑q.denom) * (r.num /. ↑r.denom) = (q.num * r.num) /. ↑(q.denom * r.denom),
by rwa [←num_denom q, ←num_denom r] at this,
by simp [mul_def hq' hr']
lemma num_denom_mk {q : ℚ} {n d : ℤ} (hn : n ≠ 0) (hd : d ≠ 0) (qdf : q = n /. d) :
∃ c : ℤ, n = c * q.num ∧ d = c * q.denom :=
have hq : q ≠ 0, from
assume : q = 0,
hn $ (rat.mk_eq_zero hd).1 (by cc),
have q.num /. q.denom = n /. d, by rwa [←rat.num_denom q],
have q.num * d = n * ↑(q.denom), from (rat.mk_eq (by simp [rat.denom_ne_zero]) hd).1 this,
begin
existsi n / q.num,
have hqdn : q.num ∣ n, begin rw qdf, apply rat.num_dvd, assumption end,
split,
{ rw int.div_mul_cancel hqdn },
{ apply int.eq_mul_div_of_mul_eq_mul_of_dvd_left,
{apply rat.num_ne_zero_of_ne_zero hq},
{simp [rat.denom_ne_zero]},
repeat {assumption} }
end
end rat
|
35e38b83161d461df8b3787a81f49a73aaf43b49 | 618003631150032a5676f229d13a079ac875ff77 | /src/number_theory/quadratic_reciprocity.lean | 654e8d4b57afb3de74dc7447ab5dce63a2053230 | [
"Apache-2.0"
] | permissive | awainverse/mathlib | 939b68c8486df66cfda64d327ad3d9165248c777 | ea76bd8f3ca0a8bf0a166a06a475b10663dec44a | refs/heads/master | 1,659,592,962,036 | 1,590,987,592,000 | 1,590,987,592,000 | 268,436,019 | 1 | 0 | Apache-2.0 | 1,590,990,500,000 | 1,590,990,500,000 | null | UTF-8 | Lean | false | false | 25,098 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import field_theory.finite
import data.zmod.basic
import data.nat.parity
/-!
# Quadratic reciprocity.
This file contains results about quadratic residues modulo a prime number.
The main results are the law of quadratic reciprocity, `quadratic_reciprocity`, as well as the
interpretations in terms of existence of square roots depending on the congruence mod 4,
`exists_pow_two_eq_prime_iff_of_mod_four_eq_one`, and
`exists_pow_two_eq_prime_iff_of_mod_four_eq_three`.
Also proven are conditions for `-1` and `2` to be a square modulo a prime,
`exists_pow_two_eq_neg_one_iff_mod_four_ne_three` and
`exists_pow_two_eq_two_iff`
## Implementation notes
The proof of quadratic reciprocity implemented uses Gauss' lemma and Eisenstein's lemma
-/
open function finset nat finite_field zmod
namespace zmod
variables (p q : ℕ) [fact p.prime] [fact q.prime]
@[simp] lemma card_units : fintype.card (units (zmod p)) = p - 1 :=
by rw [card_units, card]
/-- Fermat's Little Theorem: for every unit `a` of `zmod p`, we have `a ^ (p - 1) = 1`. -/
theorem fermat_little_units {p : ℕ} [fact p.prime] (a : units (zmod p)) :
a ^ (p - 1) = 1 :=
by rw [← card_units p, pow_card_eq_one]
/-- Fermat's Little Theorem: for all nonzero `a : zmod p`, we have `a ^ (p - 1) = 1`. -/
theorem fermat_little {a : zmod p} (ha : a ≠ 0) : a ^ (p - 1) = 1 :=
begin
have := fermat_little_units (units.mk0 a ha),
apply_fun (coe : units (zmod p) → zmod p) at this,
simpa,
end
/-- Euler's Criterion: A unit `x` of `zmod p` is a square if and only if `x ^ (p / 2) = 1`. -/
lemma euler_criterion_units (x : units (zmod p)) :
(∃ y : units (zmod p), y ^ 2 = x) ↔ x ^ (p / 2) = 1 :=
begin
cases nat.prime.eq_two_or_odd ‹p.prime› with hp2 hp_odd,
{ resetI, subst p, refine iff_of_true ⟨1, _⟩ _; apply subsingleton.elim },
obtain ⟨g, hg⟩ := is_cyclic.exists_generator (units (zmod p)),
obtain ⟨n, hn⟩ : x ∈ powers g, { rw powers_eq_gpowers, apply hg },
split,
{ rintro ⟨y, rfl⟩, rw [← pow_mul, two_mul_odd_div_two hp_odd, fermat_little_units], },
{ subst x, assume h,
have key : 2 * (p / 2) ∣ n * (p / 2),
{ rw [← pow_mul] at h,
rw [two_mul_odd_div_two hp_odd, ← card_units, ← order_of_eq_card_of_forall_mem_gpowers hg],
apply order_of_dvd_of_pow_eq_one h },
have : 0 < p / 2 := nat.div_pos (show fact (1 < p), by apply_instance) dec_trivial,
obtain ⟨m, rfl⟩ := dvd_of_mul_dvd_mul_right this key,
refine ⟨g ^ m, _⟩,
rw [mul_comm, pow_mul], },
end
/-- Euler's Criterion: a nonzero `a : zmod p` is a square if and only if `x ^ (p / 2) = 1`. -/
lemma euler_criterion {a : zmod p} (ha : a ≠ 0) :
(∃ y : zmod p, y ^ 2 = a) ↔ a ^ (p / 2) = 1 :=
begin
apply (iff_congr _ (by simp [units.ext_iff])).mp (euler_criterion_units p (units.mk0 a ha)),
simp only [units.ext_iff, _root_.pow_two, units.coe_mk0, units.coe_mul],
split, { rintro ⟨y, hy⟩, exact ⟨y, hy⟩ },
{ rintro ⟨y, rfl⟩,
have hy : y ≠ 0, { rintro rfl, simpa [_root_.zero_pow] using ha, },
refine ⟨units.mk0 y hy, _⟩, simp, }
end
lemma exists_pow_two_eq_neg_one_iff_mod_four_ne_three :
(∃ y : zmod p, y ^ 2 = -1) ↔ p % 4 ≠ 3 :=
begin
cases nat.prime.eq_two_or_odd ‹p.prime› with hp2 hp_odd,
{ resetI, subst p, exact dec_trivial },
change fact (p % 2 = 1) at hp_odd, resetI,
have neg_one_ne_zero : (-1 : zmod p) ≠ 0, from mt neg_eq_zero.1 one_ne_zero,
rw [euler_criterion p neg_one_ne_zero, neg_one_pow_eq_pow_mod_two],
cases mod_two_eq_zero_or_one (p / 2) with p_half_even p_half_odd,
{ rw [p_half_even, _root_.pow_zero, eq_self_iff_true, true_iff],
contrapose! p_half_even with hp,
rw [← nat.mod_mul_right_div_self, show 2 * 2 = 4, from rfl, hp],
exact dec_trivial },
{ rw [p_half_odd, _root_.pow_one,
iff_false_intro (ne_neg_self p one_ne_zero).symm, false_iff, not_not],
rw [← nat.mod_mul_right_div_self, show 2 * 2 = 4, from rfl] at p_half_odd,
rw [_root_.fact, ← nat.mod_mul_left_mod _ 2, show 2 * 2 = 4, from rfl] at hp_odd,
have hp : p % 4 < 4, from nat.mod_lt _ dec_trivial,
revert hp hp_odd p_half_odd,
generalize : p % 4 = k, revert k, exact dec_trivial }
end
lemma pow_div_two_eq_neg_one_or_one {a : zmod p} (ha : a ≠ 0) :
a ^ (p / 2) = 1 ∨ a ^ (p / 2) = -1 :=
begin
cases nat.prime.eq_two_or_odd ‹p.prime› with hp2 hp_odd,
{ resetI, subst p, revert a ha, exact dec_trivial },
rw [← mul_self_eq_one_iff, ← _root_.pow_add, ← two_mul, two_mul_odd_div_two hp_odd],
exact fermat_little p ha
end
/-- Wilson's Lemma: the product of `1`, ..., `p-1` is `-1` modulo `p`. -/
@[simp] lemma wilsons_lemma : (nat.fact (p - 1) : zmod p) = -1 :=
begin
refine
calc (nat.fact (p - 1) : zmod p) = (Ico 1 (succ (p - 1))).prod (λ (x : ℕ), x) :
by rw [← finset.prod_Ico_id_eq_fact, prod_nat_cast]
... = finset.univ.prod (λ x : units (zmod p), x) : _
... = -1 :
by rw [prod_hom _ (coe : units (zmod p) → zmod p),
prod_univ_units_id_eq_neg_one, units.coe_neg, units.coe_one],
have hp : 0 < p := nat.prime.pos ‹p.prime›,
symmetry,
refine prod_bij (λ a _, (a : zmod p).val) _ _ _ _,
{ intros a ha,
rw [Ico.mem, ← nat.succ_sub hp, nat.succ_sub_one],
split,
{ apply nat.pos_of_ne_zero, rw ← @val_zero p,
assume h, apply units.coe_ne_zero a (val_injective p h) },
{ exact val_lt _ } },
{ intros a ha, simp only [cast_id, nat_cast_val], },
{ intros _ _ _ _ h, rw units.ext_iff, exact val_injective p h },
{ intros b hb,
rw [Ico.mem, nat.succ_le_iff, ← succ_sub hp, succ_sub_one, nat.pos_iff_ne_zero] at hb,
refine ⟨units.mk0 b _, finset.mem_univ _, _⟩,
{ assume h, apply hb.1, apply_fun val at h,
simpa only [val_cast_of_lt hb.right, val_zero] using h },
{ simp only [val_cast_of_lt hb.right, units.coe_mk0], } }
end
@[simp] lemma prod_Ico_one_prime : (Ico 1 p).prod (λ x, (x : zmod p)) = -1 :=
begin
conv in (Ico 1 p) { rw [← succ_sub_one p, succ_sub (nat.prime.pos ‹p.prime›)] },
rw [← prod_nat_cast, finset.prod_Ico_id_eq_fact, wilsons_lemma]
end
end zmod
/-- The image of the map sending a non zero natural number `x ≤ p / 2` to the absolute value
of the element of interger in the interval `(-p/2, p/2]` congruent to `a * x` mod p is the set
of non zero natural numbers `x` such that `x ≤ p / 2` -/
lemma Ico_map_val_min_abs_nat_abs_eq_Ico_map_id
(p : ℕ) [hp : fact p.prime] (a : zmod p) (hap : a ≠ 0) :
(Ico 1 (p / 2).succ).1.map (λ x, (a * x).val_min_abs.nat_abs) =
(Ico 1 (p / 2).succ).1.map (λ a, a) :=
begin
have he : ∀ {x}, x ∈ Ico 1 (p / 2).succ → x ≠ 0 ∧ x ≤ p / 2,
by simp [nat.lt_succ_iff, nat.succ_le_iff, nat.pos_iff_ne_zero] {contextual := tt},
have hep : ∀ {x}, x ∈ Ico 1 (p / 2).succ → x < p,
from λ x hx, lt_of_le_of_lt (he hx).2 (nat.div_lt_self hp.pos dec_trivial),
have hpe : ∀ {x}, x ∈ Ico 1 (p / 2).succ → ¬ p ∣ x,
from λ x hx hpx, not_lt_of_ge (le_of_dvd (nat.pos_of_ne_zero (he hx).1) hpx) (hep hx),
have hmem : ∀ (x : ℕ) (hx : x ∈ Ico 1 (p / 2).succ),
(a * x : zmod p).val_min_abs.nat_abs ∈ Ico 1 (p / 2).succ,
{ assume x hx,
simp [hap, char_p.cast_eq_zero_iff (zmod p) p, hpe hx, lt_succ_iff, succ_le_iff,
nat.pos_iff_ne_zero, nat_abs_val_min_abs_le _], },
have hsurj : ∀ (b : ℕ) (hb : b ∈ Ico 1 (p / 2).succ),
∃ x ∈ Ico 1 (p / 2).succ, b = (a * x : zmod p).val_min_abs.nat_abs,
{ assume b hb,
refine ⟨(b / a : zmod p).val_min_abs.nat_abs, Ico.mem.mpr ⟨_, _⟩, _⟩,
{ apply nat.pos_of_ne_zero,
simp only [div_eq_mul_inv, hap, char_p.cast_eq_zero_iff (zmod p) p, hpe hb, not_false_iff,
val_min_abs_eq_zero, inv_eq_zero, int.nat_abs_eq_zero, ne.def, mul_eq_zero_iff', or_self] },
{ apply lt_succ_of_le, apply nat_abs_val_min_abs_le },
{ rw cast_nat_abs_val_min_abs,
split_ifs,
{ erw [mul_div_cancel' _ hap, val_min_abs_def_pos, val_cast_of_lt (hep hb),
if_pos (le_of_lt_succ (Ico.mem.1 hb).2), int.nat_abs_of_nat], },
{ erw [mul_neg_eq_neg_mul_symm, mul_div_cancel' _ hap, nat_abs_val_min_abs_neg,
val_min_abs_def_pos, val_cast_of_lt (hep hb), if_pos (le_of_lt_succ (Ico.mem.1 hb).2),
int.nat_abs_of_nat] } } },
exact multiset.map_eq_map_of_bij_of_nodup _ _ (finset.nodup _) (finset.nodup _)
(λ x _, (a * x : zmod p).val_min_abs.nat_abs) hmem (λ _ _, rfl)
(inj_on_of_surj_on_of_card_le _ hmem hsurj (le_refl _)) hsurj
end
private lemma gauss_lemma_aux₁ (p : ℕ) [hp : fact p.prime] [hp2 : fact (p % 2 = 1)]
{a : ℕ} (hap : (a : zmod p) ≠ 0) :
(a^(p / 2) * (p / 2).fact : zmod p) =
(-1)^((Ico 1 (p / 2).succ).filter
(λ x : ℕ, ¬(a * x : zmod p).val ≤ p / 2)).card * (p / 2).fact :=
calc (a ^ (p / 2) * (p / 2).fact : zmod p) =
(Ico 1 (p / 2).succ).prod (λ x, a * x) :
by rw [prod_mul_distrib, ← prod_nat_cast, ← prod_nat_cast, prod_Ico_id_eq_fact,
prod_const, Ico.card, succ_sub_one]; simp
... = (Ico 1 (p / 2).succ).prod (λ x, (a * x : zmod p).val) : by simp
... = (Ico 1 (p / 2).succ).prod
(λ x, (if (a * x : zmod p).val ≤ p / 2 then 1 else -1) *
(a * x : zmod p).val_min_abs.nat_abs) :
prod_congr rfl $ λ _ _, begin
simp only [cast_nat_abs_val_min_abs],
split_ifs; simp
end
... = (-1)^((Ico 1 (p / 2).succ).filter
(λ x : ℕ, ¬(a * x : zmod p).val ≤ p / 2)).card *
(Ico 1 (p / 2).succ).prod (λ x, (a * x : zmod p).val_min_abs.nat_abs) :
have (Ico 1 (p / 2).succ).prod
(λ x, if (a * x : zmod p).val ≤ p / 2 then (1 : zmod p) else -1) =
((Ico 1 (p / 2).succ).filter
(λ x : ℕ, ¬(a * x : zmod p).val ≤ p / 2)).prod (λ _, -1),
from prod_bij_ne_one (λ x _ _, x)
(λ x, by split_ifs; simp * at * {contextual := tt})
(λ _ _ _ _ _ _, id)
(λ b h _, ⟨b, by simp [-not_le, *] at *⟩)
(by intros; split_ifs at *; simp * at *),
by rw [prod_mul_distrib, this]; simp
... = (-1)^((Ico 1 (p / 2).succ).filter
(λ x : ℕ, ¬(a * x : zmod p).val ≤ p / 2)).card * (p / 2).fact :
by rw [← prod_nat_cast, finset.prod_eq_multiset_prod,
Ico_map_val_min_abs_nat_abs_eq_Ico_map_id p a hap,
← finset.prod_eq_multiset_prod, prod_Ico_id_eq_fact]
private lemma gauss_lemma_aux₂ (p : ℕ) [hp : fact p.prime] [hp2 : fact (p % 2 = 1)]
{a : ℕ} (hap : (a : zmod p) ≠ 0) :
(a^(p / 2) : zmod p) = (-1)^((Ico 1 (p / 2).succ).filter
(λ x : ℕ, p / 2 < (a * x : zmod p).val)).card :=
(domain.mul_left_inj
(show ((p / 2).fact : zmod p) ≠ 0,
by rw [ne.def, char_p.cast_eq_zero_iff (zmod p) p, hp.dvd_fact, not_le];
exact nat.div_lt_self hp.pos dec_trivial)).1 $
by simpa using gauss_lemma_aux₁ p hap
private lemma eisenstein_lemma_aux₁ (p : ℕ) [hp : fact p.prime] [hp2 : fact (p % 2 = 1)]
{a : ℕ} (hap : (a : zmod p) ≠ 0) :
(((Ico 1 (p / 2).succ).sum (λ x, a * x) : ℕ) : zmod 2) =
((Ico 1 (p / 2).succ).filter
((λ x : ℕ, p / 2 < (a * x : zmod p).val))).card +
(Ico 1 (p / 2).succ).sum (λ x, x)
+ ((Ico 1 (p / 2).succ).sum (λ x, (a * x) / p) : ℕ) :=
have hp2 : (p : zmod 2) = (1 : ℕ), from (eq_iff_modeq_nat _).2 hp2,
calc (((Ico 1 (p / 2).succ).sum (λ x, a * x) : ℕ) : zmod 2)
= (((Ico 1 (p / 2).succ).sum (λ x, (a * x) % p + p * ((a * x) / p)) : ℕ) : zmod 2) :
by simp only [mod_add_div]
... = ((Ico 1 (p / 2).succ).sum (λ x, ((a * x : ℕ) : zmod p).val) : ℕ) +
((Ico 1 (p / 2).succ).sum (λ x, (a * x) / p) : ℕ) :
by simp only [val_cast_nat];
simp [sum_add_distrib, mul_sum.symm, nat.cast_add, nat.cast_mul, sum_nat_cast, hp2]
... = _ : congr_arg2 (+)
(calc (((Ico 1 (p / 2).succ).sum (λ x, ((a * x : ℕ) : zmod p).val) : ℕ) : zmod 2)
= (Ico 1 (p / 2).succ).sum
(λ x, ((((a * x : zmod p).val_min_abs +
(if (a * x : zmod p).val ≤ p / 2 then 0 else p)) : ℤ) : zmod 2)) :
by simp only [(val_eq_ite_val_min_abs _).symm]; simp [sum_nat_cast]
... = ((Ico 1 (p / 2).succ).filter
(λ x : ℕ, p / 2 < (a * x : zmod p).val)).card +
(((Ico 1 (p / 2).succ).sum (λ x, (a * x : zmod p).val_min_abs.nat_abs)) : ℕ) :
by { simp [ite_cast, add_comm, sum_add_distrib, finset.sum_ite, hp2, sum_nat_cast], }
... = _ : by rw [finset.sum_eq_multiset_sum,
Ico_map_val_min_abs_nat_abs_eq_Ico_map_id p a hap,
← finset.sum_eq_multiset_sum];
simp [sum_nat_cast]) rfl
private lemma eisenstein_lemma_aux₂ (p : ℕ) [hp : fact p.prime] [hp2 : fact (p % 2 = 1)]
{a : ℕ} (ha2 : a % 2 = 1) (hap : (a : zmod p) ≠ 0) :
((Ico 1 (p / 2).succ).filter
((λ x : ℕ, p / 2 < (a * x : zmod p).val))).card
≡ (Ico 1 (p / 2).succ).sum (λ x, (x * a) / p) [MOD 2] :=
have ha2 : (a : zmod 2) = (1 : ℕ), from (eq_iff_modeq_nat _).2 ha2,
(eq_iff_modeq_nat 2).1 $ sub_eq_zero.1 $
by simpa [add_left_comm, sub_eq_add_neg, finset.mul_sum.symm, mul_comm, ha2, sum_nat_cast,
add_neg_eq_iff_eq_add.symm, neg_eq_self_mod_two, add_assoc]
using eq.symm (eisenstein_lemma_aux₁ p hap)
lemma div_eq_filter_card {a b c : ℕ} (hb0 : 0 < b) (hc : a / b ≤ c) : a / b =
((Ico 1 c.succ).filter (λ x, x * b ≤ a)).card :=
calc a / b = (Ico 1 (a / b).succ).card : by simp
... = ((Ico 1 c.succ).filter (λ x, x * b ≤ a)).card :
congr_arg _$ finset.ext.2 $ λ x,
have x * b ≤ a → x ≤ c,
from λ h, le_trans (by rwa [le_div_iff_mul_le _ _ hb0]) hc,
by simp [lt_succ_iff, le_div_iff_mul_le _ _ hb0]; tauto
/-- The given sum is the number of integer points in the triangle formed by the diagonal of the
rectangle `(0, p/2) × (0, q/2)` -/
private lemma sum_Ico_eq_card_lt {p q : ℕ} :
(Ico 1 (p / 2).succ).sum (λ a, (a * q) / p) =
(((Ico 1 (p / 2).succ).product (Ico 1 (q / 2).succ)).filter
(λ x : ℕ × ℕ, x.2 * p ≤ x.1 * q)).card :=
if hp0 : p = 0 then by simp [hp0, finset.ext]
else
calc (Ico 1 (p / 2).succ).sum (λ a, (a * q) / p) =
(Ico 1 (p / 2).succ).sum (λ a,
((Ico 1 (q / 2).succ).filter (λ x, x * p ≤ a * q)).card) :
finset.sum_congr rfl $ λ x hx,
div_eq_filter_card (nat.pos_of_ne_zero hp0)
(calc x * q / p ≤ (p / 2) * q / p :
nat.div_le_div_right (mul_le_mul_of_nonneg_right
(le_of_lt_succ $ by finish)
(nat.zero_le _))
... ≤ _ : nat.div_mul_div_le_div _ _ _)
... = _ : by rw [← card_sigma];
exact card_congr (λ a _, ⟨a.1, a.2⟩)
(by simp {contextual := tt})
(λ ⟨_, _⟩ ⟨_, _⟩, by simp {contextual := tt})
(λ ⟨b₁, b₂⟩ h, ⟨⟨b₁, b₂⟩,
by revert h; simp {contextual := tt}⟩)
/-- Each of the sums in this lemma is the cardinality of the set integer points in each of the
two triangles formed by the diagonal of the rectangle `(0, p/2) × (0, q/2)`. Adding them
gives the number of points in the rectangle. -/
private lemma sum_mul_div_add_sum_mul_div_eq_mul (p q : ℕ) [hp : fact p.prime]
(hq0 : (q : zmod p) ≠ 0) :
(Ico 1 (p / 2).succ).sum (λ a, (a * q) / p) +
(Ico 1 (q / 2).succ).sum (λ a, (a * p) / q) =
(p / 2) * (q / 2) :=
have hswap : (((Ico 1 (q / 2).succ).product (Ico 1 (p / 2).succ)).filter
(λ x : ℕ × ℕ, x.2 * q ≤ x.1 * p)).card =
(((Ico 1 (p / 2).succ).product (Ico 1 (q / 2).succ)).filter
(λ x : ℕ × ℕ, x.1 * q ≤ x.2 * p)).card :=
card_congr (λ x _, prod.swap x)
(λ ⟨_, _⟩, by simp {contextual := tt})
(λ ⟨_, _⟩ ⟨_, _⟩, by simp {contextual := tt})
(λ ⟨x₁, x₂⟩ h, ⟨⟨x₂, x₁⟩, by revert h; simp {contextual := tt}⟩),
have hdisj : disjoint
(((Ico 1 (p / 2).succ).product (Ico 1 (q / 2).succ)).filter
(λ x : ℕ × ℕ, x.2 * p ≤ x.1 * q))
(((Ico 1 (p / 2).succ).product (Ico 1 (q / 2).succ)).filter
(λ x : ℕ × ℕ, x.1 * q ≤ x.2 * p)),
from disjoint_filter.2 $ λ x hx hpq hqp,
have hxp : x.1 < p, from lt_of_le_of_lt
(show x.1 ≤ p / 2, by simp [*, nat.lt_succ_iff] at *; tauto)
(nat.div_lt_self hp.pos dec_trivial),
begin
have : (x.1 : zmod p) = 0,
{ simpa [hq0] using congr_arg (coe : ℕ → zmod p) (le_antisymm hpq hqp) },
apply_fun zmod.val at this,
rw [val_cast_of_lt hxp, val_zero] at this,
simp * at *
end,
have hunion : ((Ico 1 (p / 2).succ).product (Ico 1 (q / 2).succ)).filter
(λ x : ℕ × ℕ, x.2 * p ≤ x.1 * q) ∪
((Ico 1 (p / 2).succ).product (Ico 1 (q / 2).succ)).filter
(λ x : ℕ × ℕ, x.1 * q ≤ x.2 * p) =
((Ico 1 (p / 2).succ).product (Ico 1 (q / 2).succ)),
from finset.ext.2 $ λ x, by have := le_total (x.2 * p) (x.1 * q); simp; tauto,
by rw [sum_Ico_eq_card_lt, sum_Ico_eq_card_lt, hswap, ← card_disjoint_union hdisj, hunion,
card_product];
simp
variables (p q : ℕ) [fact p.prime] [fact q.prime]
namespace zmod
/-- The Legendre symbol of `a` and `p` is an integer defined as
* `0` if `a` is `0` modulo `p`;
* `1` if `a ^ (p / 2)` is `1` modulo `p`
(by `euler_criterion` this is equivalent to “`a` is a square modulo `p`”);
* `-1` otherwise.
-/
def legendre_sym (a p : ℕ) : ℤ :=
if (a : zmod p) = 0 then 0
else if (a : zmod p) ^ (p / 2) = 1 then 1
else -1
lemma legendre_sym_eq_pow (a p : ℕ) [hp : fact p.prime] :
(legendre_sym a p : zmod p) = (a ^ (p / 2)) :=
begin
rw legendre_sym,
by_cases ha : (a : zmod p) = 0,
{ simp only [if_pos, ha, _root_.zero_pow (nat.div_pos (hp.two_le) (succ_pos 1)), int.cast_zero] },
cases hp.eq_two_or_odd with hp2 hp_odd,
{ resetI, subst p,
have : ∀ (a : zmod 2),
((if a = 0 then 0 else if a ^ (2 / 2) = 1 then 1 else -1 : ℤ) : zmod 2) = a ^ (2 / 2),
by exact dec_trivial,
exact this a },
{ change fact (p % 2 = 1) at hp_odd, resetI,
rw if_neg ha,
have : (-1 : zmod p) ≠ 1, from (ne_neg_self p one_ne_zero).symm,
cases pow_div_two_eq_neg_one_or_one p ha with h h,
{ rw [if_pos h, h, int.cast_one], },
{ rw [h, if_neg this, int.cast_neg, int.cast_one], } }
end
lemma legendre_sym_eq_one_or_neg_one (a p : ℕ) (ha : (a : zmod p) ≠ 0) :
legendre_sym a p = -1 ∨ legendre_sym a p = 1 :=
by unfold legendre_sym; split_ifs; simp only [*, eq_self_iff_true, or_true, true_or] at *
lemma legendre_sym_eq_zero_iff (a p : ℕ) :
legendre_sym a p = 0 ↔ (a : zmod p) = 0 :=
begin
split,
{ classical, contrapose,
assume ha, cases legendre_sym_eq_one_or_neg_one a p ha with h h,
all_goals { rw h, norm_num } },
{ assume ha, rw [legendre_sym, if_pos ha] }
end
/-- Gauss' lemma. The legendre symbol can be computed by considering the number of naturals less
than `p/2` such that `(a * x) % p > p / 2` -/
lemma gauss_lemma {a : ℕ} [hp1 : fact (p % 2 = 1)] (ha0 : (a : zmod p) ≠ 0) :
legendre_sym a p = (-1) ^ ((Ico 1 (p / 2).succ).filter
(λ x : ℕ, p / 2 < (a * x : zmod p).val)).card :=
have (legendre_sym a p : zmod p) = (((-1)^((Ico 1 (p / 2).succ).filter
(λ x : ℕ, p / 2 < (a * x : zmod p).val)).card : ℤ) : zmod p),
by rw [legendre_sym_eq_pow, gauss_lemma_aux₂ p ha0]; simp,
begin
cases legendre_sym_eq_one_or_neg_one a p ha0;
cases @neg_one_pow_eq_or ℤ _ ((Ico 1 (p / 2).succ).filter
(λ x : ℕ, p / 2 < (a * x : zmod p).val)).card;
simp [*, ne_neg_self p one_ne_zero, (ne_neg_self p one_ne_zero).symm] at *
end
lemma legendre_sym_eq_one_iff {a : ℕ} (ha0 : (a : zmod p) ≠ 0) :
legendre_sym a p = 1 ↔ (∃ b : zmod p, b ^ 2 = a) :=
begin
rw [euler_criterion p ha0, legendre_sym, if_neg ha0],
split_ifs,
{ simp only [h, eq_self_iff_true] },
finish -- this is quite slow. I'm actually surprised that it can close the goal at all!
end
lemma eisenstein_lemma [hp1 : fact (p % 2 = 1)] {a : ℕ} (ha1 : a % 2 = 1) (ha0 : (a : zmod p) ≠ 0) :
legendre_sym a p = (-1)^(Ico 1 (p / 2).succ).sum (λ x, (x * a) / p) :=
by rw [neg_one_pow_eq_pow_mod_two, gauss_lemma p ha0, neg_one_pow_eq_pow_mod_two,
show _ = _, from eisenstein_lemma_aux₂ p ha1 ha0]
theorem quadratic_reciprocity [hp1 : fact (p % 2 = 1)] [hq1 : fact (q % 2 = 1)] (hpq : p ≠ q) :
legendre_sym p q * legendre_sym q p = (-1) ^ ((p / 2) * (q / 2)) :=
have hpq0 : (p : zmod q) ≠ 0, from prime_ne_zero q p hpq.symm,
have hqp0 : (q : zmod p) ≠ 0, from prime_ne_zero p q hpq,
by rw [eisenstein_lemma q hp1 hpq0, eisenstein_lemma p hq1 hqp0,
← _root_.pow_add, sum_mul_div_add_sum_mul_div_eq_mul q p hpq0, mul_comm]
-- move this
instance fact_prime_two : fact (nat.prime 2) := nat.prime_two
lemma legendre_sym_two [hp1 : fact (p % 2 = 1)] : legendre_sym 2 p = (-1) ^ (p / 4 + p / 2) :=
have hp2 : p ≠ 2, from mt (congr_arg (% 2)) (by simpa using hp1),
have hp22 : p / 2 / 2 = _ := div_eq_filter_card (show 0 < 2, from dec_trivial)
(nat.div_le_self (p / 2) 2),
have hcard : (Ico 1 (p / 2).succ).card = p / 2, by simp,
have hx2 : ∀ x ∈ Ico 1 (p / 2).succ, (2 * x : zmod p).val = 2 * x,
from λ x hx, have h2xp : 2 * x < p,
from calc 2 * x ≤ 2 * (p / 2) : mul_le_mul_of_nonneg_left
(le_of_lt_succ $ by finish) dec_trivial
... < _ : by conv_rhs {rw [← mod_add_div p 2, add_comm, show p % 2 = 1, from hp1]}; exact lt_succ_self _,
by rw [← nat.cast_two, ← nat.cast_mul, val_cast_of_lt h2xp],
have hdisj : disjoint
((Ico 1 (p / 2).succ).filter (λ x, p / 2 < ((2 : ℕ) * x : zmod p).val))
((Ico 1 (p / 2).succ).filter (λ x, x * 2 ≤ p / 2)),
from disjoint_filter.2 (λ x hx, by simp [hx2 _ hx, mul_comm]),
have hunion :
((Ico 1 (p / 2).succ).filter (λ x, p / 2 < ((2 : ℕ) * x : zmod p).val)) ∪
((Ico 1 (p / 2).succ).filter (λ x, x * 2 ≤ p / 2)) =
Ico 1 (p / 2).succ,
begin
rw [filter_union_right],
conv_rhs {rw [← @filter_true _ (Ico 1 (p / 2).succ)]},
exact filter_congr (λ x hx, by simp [hx2 _ hx, lt_or_le, mul_comm])
end,
begin
rw [gauss_lemma p (prime_ne_zero p 2 hp2),
neg_one_pow_eq_pow_mod_two, @neg_one_pow_eq_pow_mod_two _ _ (p / 4 + p / 2)],
refine congr_arg2 _ rfl ((eq_iff_modeq_nat 2).1 _),
rw [show 4 = 2 * 2, from rfl, ← nat.div_div_eq_div_mul, hp22, nat.cast_add,
← sub_eq_iff_eq_add', sub_eq_add_neg, neg_eq_self_mod_two,
← nat.cast_add, ← card_disjoint_union hdisj, hunion, hcard]
end
lemma exists_pow_two_eq_two_iff [hp1 : fact (p % 2 = 1)] :
(∃ a : zmod p, a ^ 2 = 2) ↔ p % 8 = 1 ∨ p % 8 = 7 :=
have hp2 : ((2 : ℕ) : zmod p) ≠ 0,
from prime_ne_zero p 2 (λ h, by simpa [h] using hp1),
have hpm4 : p % 4 = p % 8 % 4, from (nat.mod_mul_left_mod p 2 4).symm,
have hpm2 : p % 2 = p % 8 % 2, from (nat.mod_mul_left_mod p 4 2).symm,
begin
rw [show (2 : zmod p) = (2 : ℕ), by simp, ← legendre_sym_eq_one_iff p hp2,
legendre_sym_two p, neg_one_pow_eq_one_iff_even (show (-1 : ℤ) ≠ 1, from dec_trivial),
even_add, even_div, even_div],
have := nat.mod_lt p (show 0 < 8, from dec_trivial),
resetI, rw _root_.fact at hp1,
revert this hp1,
erw [hpm4, hpm2],
generalize hm : p % 8 = m,
clear hm,
revert m,
exact dec_trivial
end
lemma exists_pow_two_eq_prime_iff_of_mod_four_eq_one (hp1 : p % 4 = 1) [hq1 : fact (q % 2 = 1)] :
(∃ a : zmod p, a ^ 2 = q) ↔ ∃ b : zmod q, b ^ 2 = p :=
if hpq : p = q then by resetI; subst hpq else
have h1 : ((p / 2) * (q / 2)) % 2 = 0,
from (dvd_iff_mod_eq_zero _ _).1
(dvd_mul_of_dvd_left ((dvd_iff_mod_eq_zero _ _).2 $
by rw [← mod_mul_right_div_self, show 2 * 2 = 4, from rfl, hp1]; refl) _),
begin
haveI hp_odd : fact (p % 2 = 1) := odd_of_mod_four_eq_one hp1,
have hpq0 : (p : zmod q) ≠ 0 := prime_ne_zero q p (ne.symm hpq),
have hqp0 : (q : zmod p) ≠ 0 := prime_ne_zero p q hpq,
have := quadratic_reciprocity p q hpq,
rw [neg_one_pow_eq_pow_mod_two, h1, legendre_sym, legendre_sym,
if_neg hqp0, if_neg hpq0] at this,
rw [euler_criterion q hpq0, euler_criterion p hqp0],
split_ifs at this; simp *; contradiction,
end
lemma exists_pow_two_eq_prime_iff_of_mod_four_eq_three (hp3 : p % 4 = 3)
(hq3 : q % 4 = 3) (hpq : p ≠ q) : (∃ a : zmod p, a ^ 2 = q) ↔ ¬∃ b : zmod q, b ^ 2 = p :=
have h1 : ((p / 2) * (q / 2)) % 2 = 1,
from nat.odd_mul_odd
(by rw [← mod_mul_right_div_self, show 2 * 2 = 4, from rfl, hp3]; refl)
(by rw [← mod_mul_right_div_self, show 2 * 2 = 4, from rfl, hq3]; refl),
begin
haveI hp_odd : fact (p % 2 = 1) := odd_of_mod_four_eq_three hp3,
haveI hq_odd : fact (q % 2 = 1) := odd_of_mod_four_eq_three hq3,
have hpq0 : (p : zmod q) ≠ 0 := prime_ne_zero q p (ne.symm hpq),
have hqp0 : (q : zmod p) ≠ 0 := prime_ne_zero p q hpq,
have := quadratic_reciprocity p q hpq,
rw [neg_one_pow_eq_pow_mod_two, h1, legendre_sym, legendre_sym,
if_neg hpq0, if_neg hqp0] at this,
rw [euler_criterion q hpq0, euler_criterion p hqp0],
split_ifs at this; simp *; contradiction
end
end zmod
|
889e7df75a455681d60302c565c0dc96745fdb30 | 49ffcd4736fa3bdcc1cdbb546d4c855d67c0f28a | /tests/lean/string_imp2.lean | 1aba2106d575b1071bfe6f499803ee26c8d4d992 | [
"Apache-2.0"
] | permissive | black13/lean | 979e24d09e17b2fdf8ec74aac160583000086bc8 | 1a80ea9c8e28902cadbfb612896bcd45ba4ce697 | refs/heads/master | 1,626,839,620,164 | 1,509,113,016,000 | 1,509,122,889,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,985 | lean | def f (s : string) : string :=
s ++ " " ++ s
def g (s : string) : string :=
s.push ' ' ++ s.push '-'
def h (s : string) : string :=
let it₁ := s.mk_iterator in
let it₂ := it₁.next in
it₁.next_to_string ++ "-" ++ it₂.next_to_string
def r (s : string) : string :=
let it₁ := s.mk_iterator.to_end in
let it₂ := it₁.prev in
it₁.prev_to_string ++ "-" ++ it₂.prev_to_string
def s (s : string) : string :=
let it₁ := s.mk_iterator.to_end in
let it₂ := it₁.prev in
(it₁.insert "abc").to_string ++ (it₂.insert "de").to_string
#eval "hello" ++ "hello"
#eval f "hello"
#eval (f "αβ").length
#eval "hello".to_list
#eval "αβ".to_list
#eval "".to_list
#eval "αβγ".to_list
#eval "αβγ".fold [] (λ r c, c::r)
#eval "".fold 0 (λ r c, r+1)
#eval "αβγ".fold 0 (λ r c, r+1)
#eval "αβγ".mk_iterator.1
#eval "αβγ".mk_iterator.next.1
#eval "αβγ".mk_iterator.next.next.1
#eval "αβγ".mk_iterator.next.2
#eval "αβ".1
#eval string.empty
#eval "αβ".push 'a'
#eval g "α"
#eval "".mk_iterator.curr
#eval ("αβγ".mk_iterator.set_curr 'a').to_string
#eval (("αβγ".mk_iterator.set_curr 'a').next.set_curr 'b').to_string
#eval ((("αβγ".mk_iterator.set_curr 'a').next.set_curr 'b').next.set_curr 'c').to_string
#eval ((("αβγ".mk_iterator.set_curr 'a').next.set_curr 'b').prev.set_curr 'c').to_string
#eval ("abc".mk_iterator.set_curr '0').to_string
#eval (("abc".mk_iterator.set_curr '0').next.set_curr '1').to_string
#eval ((("abc".mk_iterator.set_curr '0').next.set_curr '1').next.set_curr '2').to_string
#eval ((("abc".mk_iterator.set_curr '0').next.set_curr '1').prev.set_curr '2').to_string
#eval ("abc".mk_iterator.set_curr (char.of_nat 955)).to_string
#eval h "abc"
#eval "abc".mk_iterator.next_to_string
#eval ("a".push (char.of_nat 0)) ++ "bb"
#eval (("a".push (char.of_nat 0)) ++ "αb").length
#eval r "abc"
#eval "abc".mk_iterator.to_end.prev_to_string
#eval "".mk_iterator.has_next
#eval "a".mk_iterator.has_next
#eval "a".mk_iterator.next.has_next
#eval "".mk_iterator.has_prev
#eval "a".mk_iterator.next.has_prev
#eval "αβ".mk_iterator.next.has_prev
#eval "αβ".mk_iterator.next.prev.has_prev
#eval ("αβ".mk_iterator.to_end.insert "abc").to_string
#eval ("αβ".mk_iterator.next.insert "abc").to_string
#eval s "αβ"
#eval ("abcdef".mk_iterator.next.remove 2).to_string
#eval ("abcdef".mk_iterator.next.next.remove 2).to_string
#eval ("abcdef".mk_iterator.next.remove 3).to_string
#eval (("abcdef".mk_iterator.next.next.next.remove 100).prev.set_curr 'a').to_string
#eval ("abcdef".mk_iterator.next.next.next.remove 100).has_next
#eval ("abcdef".mk_iterator.next.next.next.remove 100).prev.has_next
#eval to_bool $ "abc" = "abc"
#eval to_bool $ "abc" = "abd"
#eval "abc".cmp "acc"
#eval "abc".cmp "aac"
#eval "abc".cmp "abc"
#eval "abcd".cmp "abc"
#eval "ab".cmp "abc"
#eval "aβc".cmp "aγc"
#eval "aβc".cmp "aac"
#eval "aβc".cmp "aβc"
#eval "aβcd".cmp "aβc"
#eval "aβ".cmp "aβc"
#eval "".cmp "a"
#eval "a".cmp ""
|
e3f72328460509c7968402e3ce9d26e976d06f1f | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/Lean/Util/ShareCommon.lean | 5cd559a9dec327fa46a1e86a31ec72acf5f5ee7b | [
"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 | 2,006 | 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.Data.HashSet
import Lean.Data.HashMap
import Lean.Data.PersistentHashMap
import Lean.Data.PersistentHashSet
open ShareCommon
namespace Lean.ShareCommon
def objectFactory :=
StateFactory.mk {
Map := HashMap, mkMap := (mkHashMap ·), mapFind? := (·.find?), mapInsert := (·.insert)
Set := HashSet, mkSet := (mkHashSet ·), setFind? := (·.find?), setInsert := (·.insert)
}
def persistentObjectFactory :=
StateFactory.mk {
Map := PersistentHashMap, mkMap := fun _ => .empty, mapFind? := (·.find?), mapInsert := (·.insert)
Set := PersistentHashSet, mkSet := fun _ => .empty, setFind? := (·.find?), setInsert := (·.insert)
}
abbrev ShareCommonT := _root_.ShareCommonT objectFactory
abbrev PShareCommonT := _root_.ShareCommonT persistentObjectFactory
abbrev ShareCommonM := ShareCommonT Id
abbrev PShareCommonM := PShareCommonT Id
@[specialize] def ShareCommonT.withShareCommon [Monad m] (a : α) : ShareCommonT m α :=
modifyGet fun s => s.shareCommon a
@[specialize] def PShareCommonT.withShareCommon [Monad m] (a : α) : PShareCommonT m α :=
modifyGet fun s => s.shareCommon a
instance ShareCommonT.monadShareCommon [Monad m] : MonadShareCommon (ShareCommonT m) where
withShareCommon := ShareCommonT.withShareCommon
instance PShareCommonT.monadShareCommon [Monad m] : MonadShareCommon (PShareCommonT m) where
withShareCommon := PShareCommonT.withShareCommon
@[inline] def ShareCommonT.run [Monad m] : ShareCommonT m α → m α := _root_.ShareCommonT.run
@[inline] def PShareCommonT.run [Monad m] : PShareCommonT m α → m α := _root_.ShareCommonT.run
@[inline] def ShareCommonM.run : ShareCommonM α → α := ShareCommonT.run
@[inline] def PShareCommonM.run : PShareCommonM α → α := PShareCommonT.run
def shareCommon (a : α) : α := (withShareCommon a : ShareCommonM α).run
|
9fc0d0dbd7fcd9ae83852a69bc2ff3cd29e778d6 | a0e23cfdd129a671bf3154ee1a8a3a72bf4c7940 | /stage0/src/Lean/Elab/Tactic/Generalize.lean | ad58f9446873dc827b6d160577f0c5fe27f79b54 | [
"Apache-2.0"
] | permissive | WojciechKarpiel/lean4 | 7f89706b8e3c1f942b83a2c91a3a00b05da0e65b | f6e1314fa08293dea66a329e05b6c196a0189163 | refs/heads/master | 1,686,633,402,214 | 1,625,821,189,000 | 1,625,821,258,000 | 384,640,886 | 0 | 0 | Apache-2.0 | 1,625,903,617,000 | 1,625,903,026,000 | null | UTF-8 | Lean | false | false | 2,862 | 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, Sebastian Ullrich
-/
import Lean.Meta.Tactic.Generalize
import Lean.Meta.Check
import Lean.Meta.Tactic.Intro
import Lean.Elab.Tactic.ElabTerm
namespace Lean.Elab.Tactic
open Meta
private def getAuxHypothesisName (stx : Syntax) : Option Name :=
if stx[1].isNone then none
else some stx[1][0].getId
private def getVarName (stx : Syntax) : Name :=
stx[4].getId
private def evalGeneralizeFinalize (mvarId : MVarId) (e : Expr) (target : Expr) : MetaM (List MVarId) := do
let tag ← Meta.getMVarTag mvarId
let eType ← inferType e
let u ← Meta.getLevel eType
let mvar' ← Meta.mkFreshExprSyntheticOpaqueMVar target tag
let rfl := mkApp2 (Lean.mkConst `Eq.refl [u]) eType e
let val := mkApp2 mvar' e rfl
assignExprMVar mvarId val
let mvarId' := mvar'.mvarId!
let (_, mvarId') ← Meta.introNP mvarId' 2
pure [mvarId']
private def evalGeneralizeWithEq (h : Name) (e : Expr) (x : Name) : TacticM Unit :=
liftMetaTactic fun mvarId => do
let mvarId ← Meta.generalize mvarId e x false
let mvarDecl ← getMVarDecl mvarId
match mvarDecl.type with
| Expr.forallE _ _ b _ =>
let (_, mvarId) ← Meta.intro1P mvarId
let eType ← inferType e
let u ← Meta.getLevel eType
let eq := mkApp3 (Lean.mkConst `Eq [u]) eType e (mkBVar 0)
let target := Lean.mkForall x BinderInfo.default eType $ Lean.mkForall h BinderInfo.default eq (b.liftLooseBVars 0 1)
evalGeneralizeFinalize mvarId e target
| _ => throwError "unexpected type after generalize"
-- If generalizing fails, fall back to not replacing anything
private def evalGeneralizeFallback (h : Name) (e : Expr) (x : Name) : TacticM Unit :=
liftMetaTactic fun mvarId => do
let eType ← inferType e
let u ← Meta.getLevel eType
let mvarType ← Meta.getMVarType mvarId
let eq := mkApp3 (Lean.mkConst `Eq [u]) eType e (mkBVar 0)
let target := Lean.mkForall x BinderInfo.default eType $ Lean.mkForall h BinderInfo.default eq mvarType
evalGeneralizeFinalize mvarId e target
def evalGeneralizeAux (h? : Option Name) (e : Expr) (x : Name) : TacticM Unit :=
match h? with
| none => liftMetaTactic fun mvarId => do
let mvarId ← Meta.generalize mvarId e x false
let (_, mvarId) ← Meta.intro1P mvarId
pure [mvarId]
| some h =>
evalGeneralizeWithEq h e x <|> evalGeneralizeFallback h e x
@[builtinTactic Lean.Parser.Tactic.generalize] def evalGeneralize : Tactic := fun stx =>
withMainContext do
let h? := getAuxHypothesisName stx
let x := getVarName stx
let e ← elabTerm stx[2] none
evalGeneralizeAux h? e x
end Lean.Elab.Tactic
|
7e6cb53a4ba77224fbe5211ee792331bae559bcb | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/algebra/big_operators/intervals.lean | 6e7f9c0f4bf0277a16f07e9b28aeede06ab36c2c | [] | 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 | 5,081 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.algebra.big_operators.basic
import Mathlib.data.finset.intervals
import Mathlib.PostPort
universes u_1 v
namespace Mathlib
/-!
# Results about big operators over intervals
We prove results about big operators over intervals (mostly the `ℕ`-valued `Ico m n`).
-/
namespace finset
theorem sum_Ico_add {δ : Type u_1} [add_comm_monoid δ] (f : ℕ → δ) (m : ℕ) (n : ℕ) (k : ℕ) : (finset.sum (Ico m n) fun (l : ℕ) => f (k + l)) = finset.sum (Ico (m + k) (n + k)) fun (l : ℕ) => f l :=
Eq.subst (Ico.image_add m n k) Eq.symm
(sum_image fun (x : ℕ) (hx : x ∈ Ico m n) (y : ℕ) (hy : y ∈ Ico m n) (h : k + x = k + y) => nat.add_left_cancel h)
theorem prod_Ico_add {β : Type v} [comm_monoid β] (f : ℕ → β) (m : ℕ) (n : ℕ) (k : ℕ) : (finset.prod (Ico m n) fun (l : ℕ) => f (k + l)) = finset.prod (Ico (m + k) (n + k)) fun (l : ℕ) => f l :=
sum_Ico_add f m n k
theorem sum_Ico_succ_top {δ : Type u_1} [add_comm_monoid δ] {a : ℕ} {b : ℕ} (hab : a ≤ b) (f : ℕ → δ) : (finset.sum (Ico a (b + 1)) fun (k : ℕ) => f k) = (finset.sum (Ico a b) fun (k : ℕ) => f k) + f b := sorry
theorem prod_Ico_succ_top {β : Type v} [comm_monoid β] {a : ℕ} {b : ℕ} (hab : a ≤ b) (f : ℕ → β) : (finset.prod (Ico a (b + 1)) fun (k : ℕ) => f k) = (finset.prod (Ico a b) fun (k : ℕ) => f k) * f b :=
sum_Ico_succ_top hab fun (k : ℕ) => f k
theorem sum_eq_sum_Ico_succ_bot {δ : Type u_1} [add_comm_monoid δ] {a : ℕ} {b : ℕ} (hab : a < b) (f : ℕ → δ) : (finset.sum (Ico a b) fun (k : ℕ) => f k) = f a + finset.sum (Ico (a + 1) b) fun (k : ℕ) => f k := sorry
theorem prod_eq_prod_Ico_succ_bot {β : Type v} [comm_monoid β] {a : ℕ} {b : ℕ} (hab : a < b) (f : ℕ → β) : (finset.prod (Ico a b) fun (k : ℕ) => f k) = f a * finset.prod (Ico (a + 1) b) fun (k : ℕ) => f k :=
sum_eq_sum_Ico_succ_bot hab fun (k : ℕ) => f k
theorem prod_Ico_consecutive {β : Type v} [comm_monoid β] (f : ℕ → β) {m : ℕ} {n : ℕ} {k : ℕ} (hmn : m ≤ n) (hnk : n ≤ k) : ((finset.prod (Ico m n) fun (i : ℕ) => f i) * finset.prod (Ico n k) fun (i : ℕ) => f i) =
finset.prod (Ico m k) fun (i : ℕ) => f i :=
Eq.subst (Ico.union_consecutive hmn hnk) Eq.symm (prod_union (Ico.disjoint_consecutive m n k))
theorem sum_range_add_sum_Ico {β : Type v} [add_comm_monoid β] (f : ℕ → β) {m : ℕ} {n : ℕ} (h : m ≤ n) : ((finset.sum (range m) fun (k : ℕ) => f k) + finset.sum (Ico m n) fun (k : ℕ) => f k) =
finset.sum (range n) fun (k : ℕ) => f k :=
Ico.zero_bot m ▸ Ico.zero_bot n ▸ sum_Ico_consecutive f (nat.zero_le m) h
theorem sum_Ico_eq_add_neg {δ : Type u_1} [add_comm_group δ] (f : ℕ → δ) {m : ℕ} {n : ℕ} (h : m ≤ n) : (finset.sum (Ico m n) fun (k : ℕ) => f k) =
(finset.sum (range n) fun (k : ℕ) => f k) + -finset.sum (range m) fun (k : ℕ) => f k := sorry
theorem sum_Ico_eq_sub {δ : Type u_1} [add_comm_group δ] (f : ℕ → δ) {m : ℕ} {n : ℕ} (h : m ≤ n) : (finset.sum (Ico m n) fun (k : ℕ) => f k) =
(finset.sum (range n) fun (k : ℕ) => f k) - finset.sum (range m) fun (k : ℕ) => f k := sorry
theorem sum_Ico_eq_sum_range {β : Type v} [add_comm_monoid β] (f : ℕ → β) (m : ℕ) (n : ℕ) : (finset.sum (Ico m n) fun (k : ℕ) => f k) = finset.sum (range (n - m)) fun (k : ℕ) => f (m + k) := sorry
theorem prod_Ico_reflect {β : Type v} [comm_monoid β] (f : ℕ → β) (k : ℕ) {m : ℕ} {n : ℕ} (h : m ≤ n + 1) : (finset.prod (Ico k m) fun (j : ℕ) => f (n - j)) = finset.prod (Ico (n + 1 - m) (n + 1 - k)) fun (j : ℕ) => f j := sorry
theorem sum_Ico_reflect {δ : Type u_1} [add_comm_monoid δ] (f : ℕ → δ) (k : ℕ) {m : ℕ} {n : ℕ} (h : m ≤ n + 1) : (finset.sum (Ico k m) fun (j : ℕ) => f (n - j)) = finset.sum (Ico (n + 1 - m) (n + 1 - k)) fun (j : ℕ) => f j :=
prod_Ico_reflect f k h
theorem prod_range_reflect {β : Type v} [comm_monoid β] (f : ℕ → β) (n : ℕ) : (finset.prod (range n) fun (j : ℕ) => f (n - 1 - j)) = finset.prod (range n) fun (j : ℕ) => f j := sorry
theorem sum_range_reflect {δ : Type u_1} [add_comm_monoid δ] (f : ℕ → δ) (n : ℕ) : (finset.sum (range n) fun (j : ℕ) => f (n - 1 - j)) = finset.sum (range n) fun (j : ℕ) => f j :=
prod_range_reflect f n
@[simp] theorem prod_Ico_id_eq_factorial (n : ℕ) : (finset.prod (Ico 1 (n + 1)) fun (x : ℕ) => x) = nat.factorial n := sorry
@[simp] theorem prod_range_add_one_eq_factorial (n : ℕ) : (finset.prod (range n) fun (x : ℕ) => x + 1) = nat.factorial n := sorry
/-- Gauss' summation formula -/
theorem sum_range_id_mul_two (n : ℕ) : (finset.sum (range n) fun (i : ℕ) => i) * bit0 1 = n * (n - 1) := sorry
/-- Gauss' summation formula -/
theorem sum_range_id (n : ℕ) : (finset.sum (range n) fun (i : ℕ) => i) = n * (n - 1) / bit0 1 := sorry
|
07880f21f6700c334502d826c22e5a25f5bf8441 | 55c7fc2bf55d496ace18cd6f3376e12bb14c8cc5 | /src/measure_theory/measurable_space.lean | ff71c53a929e5630bd38c58377f7957962a951b6 | [
"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 | 48,023 | 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 data.set.disjointed
import data.set.countable
import data.indicator_function
import data.equiv.encodable.lattice
/-!
# 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 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}
/-- A measurable space is a space equipped with a σ-algebra. -/
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 sᶜ)
(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
@[simp] lemma is_measurable.empty : is_measurable (∅ : set α) :=
‹measurable_space α›.is_measurable_empty
lemma is_measurable.compl : is_measurable s → is_measurable sᶜ :=
‹measurable_space α›.is_measurable_compl s
lemma is_measurable.of_compl (h : is_measurable sᶜ) : is_measurable s :=
s.compl_compl ▸ h.compl
@[simp] lemma is_measurable.compl_iff : is_measurable sᶜ ↔ is_measurable s :=
⟨is_measurable.of_compl, is_measurable.compl⟩
@[simp] lemma is_measurable.univ : is_measurable (univ : set α) :=
by simpa using (@is_measurable.empty α _).compl
lemma subsingleton.is_measurable [subsingleton α] {s : set α} : is_measurable s :=
subsingleton.set_cases is_measurable.empty is_measurable.univ s
lemma is_measurable.congr {s t : set α} (hs : is_measurable s) (h : s = t) :
is_measurable t :=
by rwa ← h
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.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
/-- A typeclass mixin for `measurable_space`s such that each singleton is measurable. -/
class measurable_singleton_class (α : Type*) [measurable_space α] : Prop :=
(is_measurable_singleton : ∀ x, is_measurable ({x} : set α))
export measurable_singleton_class (is_measurable_singleton)
attribute [simp] is_measurable_singleton
section measurable_singleton_class
variables [measurable_space α] [measurable_singleton_class α]
lemma is_measurable_eq {a : α} : is_measurable {x | x = a} :=
is_measurable_singleton a
lemma is_measurable.insert {s : set α} (hs : is_measurable s) (a : α) :
is_measurable (insert a s) :=
(is_measurable_singleton a).union hs
@[simp] lemma is_measurable_insert {a : α} {s : set α} :
is_measurable (insert a s) ↔ is_measurable s :=
⟨λ h, if ha : a ∈ s then by rwa ← insert_eq_of_mem ha
else insert_diff_self_of_not_mem ha ▸ h.diff (is_measurable_singleton _),
λ h, h.insert a⟩
lemma set.finite.is_measurable {s : set α} (hs : finite s) : is_measurable s :=
finite.induction_on hs is_measurable.empty $ λ a s ha hsf hsm, hsm.insert _
protected lemma finset.is_measurable (s : finset α) : is_measurable (↑s : set α) :=
s.finite_to_set.is_measurable
end measurable_singleton_class
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 sᶜ
| 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,
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)
/-- If `g` is a collection of subsets of `α` such that the `σ`-algebra generated from `g` contains the
same sets as `g`, then `g` was already a `σ`-algebra. -/
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
/-- We get a Galois insertion between `σ`-algebras on `α` and `set (set α)` by using `generate_from`
on one side and the collection of measurable sets on the other side. -/
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.rfl
@[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
theorem is_measurable_sup {m₁ m₂ : measurable_space α} {s : set α} :
@is_measurable _ (m₁ ⊔ m₂) s ↔ generate_measurable (m₁.is_measurable ∪ m₂.is_measurable) s :=
iff.refl _
theorem is_measurable_Sup {ms : set (measurable_space α)} {s : set α} :
@is_measurable _ (Sup ms) s ↔ generate_measurable (⋃₀ (measurable_space.is_measurable '' ms)) s :=
begin
change @is_measurable _ (generate_from _) _ ↔ _,
dsimp [generate_from],
rw (show (⨆ (b : measurable_space α) (H : b ∈ ms), set_of (is_measurable b)) = (⋃₀(is_measurable '' ms)),
{ ext,
simp only [exists_prop, mem_Union, sUnion_image, mem_set_of_eq],
refl, })
end
theorem is_measurable_supr {ι} {m : ι → measurable_space α} {s : set α} :
@is_measurable _ (supr m) s ↔ generate_measurable (⋃i, (m i).is_measurable) s :=
begin
convert @is_measurable_Sup _ (range m) s,
simp,
end
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'ᶜ, 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 [measurable_space α] [ measurable_space β] (f : α → β) : Prop :=
∀ ⦃t : set β⦄, is_measurable t → is_measurable (f ⁻¹' t)
lemma measurable_iff_le_map {m₁ : measurable_space α} {m₂ : measurable_space β} {f : α → β} :
measurable f ↔ m₂ ≤ m₁.map f :=
iff.rfl
alias measurable_iff_le_map ↔ measurable.le_map measurable.of_le_map
lemma measurable_iff_comap_le {m₁ : measurable_space α} {m₂ : measurable_space β} {f : α → β} :
measurable f ↔ m₂.comap f ≤ m₁ :=
comap_le_iff_le_map.symm
alias measurable_iff_comap_le ↔ measurable.comap_le measurable.of_comap_le
lemma subsingleton.measurable [measurable_space α] [measurable_space β] [subsingleton α]
{f : α → β} : measurable f :=
λ s hs, @subsingleton.is_measurable α _ _ _
lemma measurable_id [measurable_space α] : measurable (@id α) := λ t, id
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) :=
λ t ht, hf (hg ht)
lemma measurable_from_top [measurable_space β] {f : α → β} :
@measurable _ _ ⊤ _ f :=
λ s hs, trivial
lemma measurable.mono {ma ma' : measurable_space α} {mb mb' : measurable_space β} {f : α → β}
(hf : @measurable α β ma mb f) (ha : ma ≤ ma') (hb : mb' ≤ mb) :
@measurable α β ma' mb' f :=
λ t ht, ha _ $ hf $ hb _ ht
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 :=
measurable.of_le_map $ generate_from_le h
lemma measurable.piecewise [measurable_space α] [measurable_space β]
{s : set α} {_ : decidable_pred s} {f g : α → β}
(hs : is_measurable s) (hf : measurable f) (hg : measurable g) :
measurable (piecewise s f g) :=
begin
intros t ht,
simp only [piecewise_preimage],
exact (hs.inter $ hf ht).union (hs.compl.inter $ hg ht)
end
lemma measurable_const {α β} [measurable_space α] [measurable_space β] {a : α} :
measurable (λb:β, a) :=
by { intros s hs, by_cases a ∈ s; simp [*, preimage] }
lemma measurable.indicator [measurable_space α] [measurable_space β] [has_zero β]
{s : set α} {f : α → β} (hf : measurable f) (hs : is_measurable s) :
measurable (s.indicator f) :=
hf.piecewise hs measurable_const
@[to_additive]
lemma measurable_one {α β} [measurable_space α] [has_one α] [measurable_space β] :
measurable (1 : β → α) := @measurable_const _ _ _ _ 1
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 := ⊤
instance : measurable_space ℚ := ⊤
lemma measurable_to_encodable [encodable α] [measurable_space α] [measurable_space β] {f : β → α}
(h : ∀ y, is_measurable {x | f x = y}) : measurable f :=
begin
assume 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_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 :=
measurable_from_top
lemma measurable_to_nat [measurable_space α] {f : α → ℕ} :
(∀ k, is_measurable {x | f x = k}) → measurable f :=
measurable_to_encodable
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 (coe : _ → α)
lemma measurable_subtype_coe [measurable_space α] {p : α → Prop} :
measurable (coe : subtype p → α) :=
measurable_space.le_map_comap
lemma measurable.subtype_coe [measurable_space α] [measurable_space β] {p : β → Prop}
{f : α → subtype p} (hf : measurable f) : measurable (λa:α, (f a : β)) :=
measurable_subtype_coe.comp hf
lemma measurable.subtype_mk [measurable_space α] [measurable_space β] {p : β → Prop}
{f : α → β} (hf : measurable f) {h : ∀ x, p (f x)} :
measurable (λ x, (⟨f x, h x⟩ : subtype p)) :=
λ t ⟨s, hs⟩, hs.2 ▸ by simp only [← preimage_comp, (∘), subtype.coe_mk, hf hs.1]
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, subtype.image_preimage_coe],
exact hu.inter 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 :=
begin
intros u hu,
convert (hs.subtype_image (hc hu)).union (ht.subtype_image (hd hu)),
change f ⁻¹' u = coe '' (coe ⁻¹' (f ⁻¹' u) : set s) ∪ coe '' (coe ⁻¹' (f ⁻¹' u) : set t),
rw [image_preimage_eq_inter_range, image_preimage_eq_inter_range, subtype.range_coe,
subtype.range_coe, ← inter_distrib_left, univ_subset_iff.1 h, inter_univ],
end
lemma measurable_of_measurable_on_compl_singleton [measurable_space α] [measurable_space β]
[measurable_singleton_class α]
{f : α → β} (a : α) (hf : measurable (set.restrict f {x | x ≠ a})) :
measurable f :=
measurable_of_measurable_union_cover _ _ is_measurable_eq is_measurable_eq.compl
(λ x hx, classical.em _)
(@subsingleton.measurable {x | x = a} _ _ _ ⟨λ x y, subtype.eq $ x.2.trans y.2.symm⟩ _) hf
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 (prod.fst : α × β → α) :=
measurable.of_comap_le le_sup_left
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_fst.comp hf
lemma measurable_snd [measurable_space α] [measurable_space β] :
measurable (prod.snd : α × β → β) :=
measurable.of_comap_le le_sup_right
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_snd.comp 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 :=
measurable.of_le_map $ 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.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 hs) (measurable_snd 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.of_comap_le $ 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 :=
measurable.of_le_map $ 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) := measurable.of_le_map inf_le_left
lemma measurable_inr : measurable (@sum.inr α β) := measurable.of_le_map inf_le_right
lemma measurable_sum {f : α ⊕ β → γ}
(hl : measurable (f ∘ sum.inl)) (hr : measurable (f ∘ sum.inr)) : measurable f :=
measurable.of_comap_le $ 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.univ.inl_image
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
/-- Any measurable space is equivalent to itself. -/
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 }
/-- The composition of equivalences between measurable spaces. -/
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
/-- The inverse of an equivalence between measurable spaces. -/
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
/-- Equal measurable spaces are equivalent. -/
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 substI h; substI hi; exact measurable_id,
measurable_inv_fun := by substI h; substI 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)
/-- Products of equivalent measurable spaces are equivalent. -/
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)) }
/-- Products of measurable spaces are symmetric. -/
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) }
/-- Sums of measurable spaces are symmetric. -/
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 }
/-- `set.prod s t ≃ (s × t)` as measurable spaces. -/
def set.prod [measurable_space α] [measurable_space β] (s : set α) (t : set β) :
measurable_equiv (s.prod t) (s × t) :=
{ to_equiv := equiv.set.prod s t,
measurable_to_fun := measurable.prod_mk
measurable_id.subtype_coe.fst.subtype_mk
measurable_id.subtype_coe.snd.subtype_mk,
measurable_inv_fun := measurable.subtype_mk $ measurable.prod_mk
measurable_id.fst.subtype_coe
measurable_id.snd.subtype_coe }
/-- `univ α ≃ α` as measurable spaces. -/
def set.univ (α : Type*) [measurable_space α] : measurable_equiv (univ : set α) α :=
{ to_equiv := equiv.set.univ α,
measurable_to_fun := measurable_id.subtype_coe,
measurable_inv_fun := measurable_id.subtype_mk }
/-- `{a} ≃ unit` as measurable spaces. -/
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_const }
/-- A set is equivalent to its image under a function `f` as measurable spaces,
if `f` is an injective measurable function that sends measurable sets to measurable sets. -/
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 := (hfm.comp measurable_id.subtype_coe).subtype_mk,
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_coe (hfi u hu)
end }
/-- The domain of `f` is equivalent to its range as measurable spaces,
if `f` is an injective measurable function that sends measurable sets to measurable sets. -/
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)
/-- `α` is equivalent to its image in `α ⊕ β` as measurable spaces. -/
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 ⟨_, hs.inl_image, set.ext _⟩,
rintros ⟨ab, a, rfl⟩,
simp [set.range_inl._match_1]
end,
measurable_inv_fun := measurable.subtype_mk measurable_inl }
/-- `β` is equivalent to its image in `α ⊕ β` as measurable spaces. -/
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 }
/-- Products distribute over sums (on the right) as measurable spaces. -/
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_range_inl.prod is_measurable.univ)
(is_measurable_range_inr.prod 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 :=
measurable_sum
((measurable_inl.comp (measurable.fst measurable_id)).prod_mk (measurable.snd measurable_id))
((measurable_inr.comp (measurable.fst measurable_id)).prod_mk (measurable.snd measurable_id)) }
/-- Products distribute over sums (on the left) as measurable spaces. -/
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
/-- Products distribute over sums as measurable spaces. -/
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
/-- A Dynkin system is a collection of subsets of a type `α` that contains the empty set,
is closed under complementation and under countable union of pairwise disjoint sets.
The disjointness condition is the only difference with `σ`-algebras.
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 aᶜ)
(has_Union_nat : ∀{f:ℕ → set α}, pairwise (disjoint on f) → (∀i, has (f i)) → has (⋃i, f i))
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 aᶜ ↔ 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⟩ }
/-- Every measurable space (σ-algebra) forms a Dynkin system -/
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.
This inductive type gives the underlying collection of 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 aᶜ
| Union : ∀{f:ℕ → set α}, pairwise (disjoint on f) →
(∀i, generate_has (f i)) → generate_has (⋃i, f i)
/-- The least Dynkin system containing a collection of basic sets. -/
def generate (s : set (set α)) : dynkin_system α :=
{ has := generate_has s,
has_empty := generate_has.empty,
has_compl := assume a, generate_has.compl,
has_Union_nat := assume f, generate_has.Union }
instance : inhabited (dynkin_system α) := ⟨generate univ⟩
/-- If a Dynkin system is closed under binary intersection, then it forms a `σ`-algebra. -/
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
/-- If `s` is in a Dynkin system `d`, we can form the new Dynkin system `{s ∩ t | t ∈ d}`. -/
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 tᶜ ∩ s = ((t ∩ s)ᶜ) \ sᶜ,
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 : set α, t₁ ∈ s → t₂ ∈ s → (t₁ ∩ t₂).nonempty → 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
(s₂ ∩ s₁).eq_empty_or_nonempty.elim
(λ h, h.symm ▸ generate_has.empty)
(λ h, 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 : set α, t₁ ∈ s → t₂ ∈ s → (t₁ ∩ t₂).nonempty → 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 : set α, t₁ ∈ s → t₂ ∈ s → (t₁ ∩ t₂).nonempty → t₁ ∩ t₂ ∈ s)
(h_empty : C ∅) (h_basic : ∀t∈s, C t) (h_compl : ∀t, m.is_measurable t → C t → C tᶜ)
(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
|
da3aba7807d1bdcdf3921af6f8ec81639c38f48e | 54f4ad05b219d444b709f56c2f619dd87d14ec29 | /my_project/src/love11_logical_foundations_of_mathematics_exercise_sheet.lean | 8900f0b577b707c3c50a2ade9064b2febbbbbe71 | [] | no_license | yizhou7/learning-lean | 8efcf838c7276e235a81bd291f467fa43ce56e0a | 91fb366c624df6e56e19555b2e482ce767cd8224 | refs/heads/master | 1,675,649,087,737 | 1,609,022,281,000 | 1,609,022,281,000 | 272,072,779 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,951 | lean | import .love11_logical_foundations_of_mathematics_demo
/-! # LoVe Exercise 11: Logical Foundations of Mathematics -/
set_option pp.beta true
namespace LoVe
/-! ## Question 1: Vectors as Subtypes
Recall the definition of vectors from the demo: -/
#check vector
/-! The following function adds two lists of integers elementwise. If one
function is longer than the other, the tail of the longer function is
truncated. -/
def list.add : list ℤ → list ℤ → list ℤ
| [] [] := []
| (x :: xs) (y :: ys) := (x + y) :: list.add xs ys
| [] (y :: ys) := []
| (x :: xs) [] := []
/-! 1.1. Show that if the lists have the same length, the resulting list also
has that length. -/
lemma list.length_add :
∀(xs : list ℤ) (ys : list ℤ) (h : list.length xs = list.length ys),
list.length (list.add xs ys) = list.length xs
| [] [] :=
sorry
| (x :: xs) (y :: ys) :=
sorry
| [] (y :: ys) :=
sorry
| (x :: xs) [] :=
sorry
/-! 1.2. Define componentwise addition on vectors using `list.add` and
`length.length_add`. -/
def vector.add {n : ℕ} : vector ℤ n → vector ℤ n → vector ℤ n :=
sorry
/-! 1.3. Show that `list.add` and `vector.add` are commutative. -/
lemma list.add.comm :
∀(xs : list ℤ) (ys : list ℤ), list.add xs ys = list.add ys xs :=
sorry
lemma vector.add.comm {n : ℕ} (x y : vector ℤ n) :
vector.add x y = vector.add y x :=
sorry
/-! ## Question 2: Integers as Quotients
Recall the construction of integers from the lecture, not to be confused with
Lean's predefined type `int` (= `ℤ`): -/
#check int.rel
#check int.rel_iff
#check int
/-! 2.1. Define negation on these integers. -/
def int.neg : int → int :=
sorry
/-! 2.2. Prove the following lemmas about negation. -/
lemma int.neg_eq (p n : ℕ) :
int.neg ⟦(p, n)⟧ = ⟦(n, p)⟧ :=
sorry
lemma int.neg_neg (a : int) :
int.neg (int.neg a) = a :=
sorry
end LoVe
|
b8270d1f5d56e80ba73defbe032c8024a09f6fb9 | dd0f5513e11c52db157d2fcc8456d9401a6cd9da | /10_Structures_and_Records.org.15.lean | 6216e9b863b11cce4a72169881f4c5516c46e612 | [] | no_license | cjmazey/lean-tutorial | ba559a49f82aa6c5848b9bf17b7389bf7f4ba645 | 381f61c9fcac56d01d959ae0fa6e376f2c4e3b34 | refs/heads/master | 1,610,286,098,832 | 1,447,124,923,000 | 1,447,124,923,000 | 43,082,433 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 202 | lean | import standard
structure point (A : Type) :=
mk :: (x : A) (y : A)
inductive color :=
red | green | blue
-- BEGIN
structure color_point (A : Type) extends private point A :=
mk :: (c : color)
-- END
|
295585b15a0722952f6c0b937982f490eb7ad040 | 4950bf76e5ae40ba9f8491647d0b6f228ddce173 | /src/field_theory/splitting_field.lean | b8435f2f41056e8752f5cf5cd4c320b33559a02e | [
"Apache-2.0"
] | permissive | ntzwq/mathlib | ca50b21079b0a7c6781c34b62199a396dd00cee2 | 36eec1a98f22df82eaccd354a758ef8576af2a7f | refs/heads/master | 1,675,193,391,478 | 1,607,822,996,000 | 1,607,822,996,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 35,450 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
Definition of splitting fields, and definition of homomorphism into any field that splits
-/
import ring_theory.adjoin_root
import ring_theory.algebra_tower
import ring_theory.algebraic
import ring_theory.polynomial
import field_theory.minimal_polynomial
import linear_algebra.finite_dimensional
noncomputable theory
open_locale classical big_operators
universes u v w
variables {α : Type u} {β : Type v} {γ : Type w}
namespace polynomial
variables [field α] [field β] [field γ]
open polynomial
section splits
variables (i : α →+* β)
/-- a polynomial `splits` iff it is zero or all of its irreducible factors have `degree` 1 -/
def splits (f : polynomial α) : Prop :=
f = 0 ∨ ∀ {g : polynomial β}, irreducible g → g ∣ f.map i → degree g = 1
@[simp] lemma splits_zero : splits i (0 : polynomial α) := or.inl rfl
@[simp] lemma splits_C (a : α) : splits i (C a) :=
if ha : a = 0 then ha.symm ▸ (@C_0 α _).symm ▸ splits_zero i
else
have hia : i a ≠ 0, from mt ((is_add_group_hom.injective_iff i).1
i.injective _) ha,
or.inr $ λ g hg ⟨p, hp⟩, absurd hg.1 (not_not.2 (is_unit_iff_degree_eq_zero.2 $
by have := congr_arg degree hp;
simp [degree_C hia, @eq_comm (with_bot ℕ) 0,
nat.with_bot.add_eq_zero_iff] at this; clear _fun_match; tauto))
lemma splits_of_degree_eq_one {f : polynomial α} (hf : degree f = 1) : splits i f :=
or.inr $ λ g hg ⟨p, hp⟩,
by have := congr_arg degree hp;
simp [nat.with_bot.add_eq_one_iff, hf, @eq_comm (with_bot ℕ) 1,
mt is_unit_iff_degree_eq_zero.2 hg.1] at this;
clear _fun_match; tauto
lemma splits_of_degree_le_one {f : polynomial α} (hf : degree f ≤ 1) : splits i f :=
begin
cases h : degree f with n,
{ rw [degree_eq_bot.1 h]; exact splits_zero i },
{ cases n with n,
{ rw [eq_C_of_degree_le_zero (trans_rel_right (≤) h (le_refl _))];
exact splits_C _ _ },
{ have hn : n = 0,
{ rw h at hf,
cases n, { refl }, { exact absurd hf dec_trivial } },
exact splits_of_degree_eq_one _ (by rw [h, hn]; refl) } }
end
lemma splits_mul {f g : polynomial α} (hf : splits i f) (hg : splits i g) : splits i (f * g) :=
if h : f * g = 0 then by simp [h]
else or.inr $ λ p hp hpf, ((principal_ideal_ring.irreducible_iff_prime.1 hp).2.2 _ _
(show p ∣ map i f * map i g, by convert hpf; rw polynomial.map_mul)).elim
(hf.resolve_left (λ hf, by simpa [hf] using h) hp)
(hg.resolve_left (λ hg, by simpa [hg] using h) hp)
lemma splits_of_splits_mul {f g : polynomial α} (hfg : f * g ≠ 0) (h : splits i (f * g)) :
splits i f ∧ splits i g :=
⟨or.inr $ λ g hgi hg, or.resolve_left h hfg hgi (by rw map_mul; exact dvd.trans hg (dvd_mul_right _ _)),
or.inr $ λ g hgi hg, or.resolve_left h hfg hgi (by rw map_mul; exact dvd.trans hg (dvd_mul_left _ _))⟩
lemma splits_of_splits_of_dvd {f g : polynomial α} (hf0 : f ≠ 0) (hf : splits i f) (hgf : g ∣ f) :
splits i g :=
by { obtain ⟨f, rfl⟩ := hgf, exact (splits_of_splits_mul i hf0 hf).1 }
lemma splits_of_splits_gcd_left {f g : polynomial α} (hf0 : f ≠ 0) (hf : splits i f) :
splits i (euclidean_domain.gcd f g) :=
polynomial.splits_of_splits_of_dvd i hf0 hf (euclidean_domain.gcd_dvd_left f g)
lemma splits_of_splits_gcd_right {f g : polynomial α} (hg0 : g ≠ 0) (hg : splits i g) :
splits i (euclidean_domain.gcd f g) :=
polynomial.splits_of_splits_of_dvd i hg0 hg (euclidean_domain.gcd_dvd_right f g)
lemma splits_map_iff (j : β →+* γ) {f : polynomial α} :
splits j (f.map i) ↔ splits (j.comp i) f :=
by simp [splits, polynomial.map_map]
theorem splits_one : splits i 1 :=
splits_C i 1
theorem splits_of_is_unit {u : polynomial α} (hu : is_unit u) : u.splits i :=
splits_of_splits_of_dvd i one_ne_zero (splits_one _) $ is_unit_iff_dvd_one.1 hu
theorem splits_X_sub_C {x : α} : (X - C x).splits i :=
splits_of_degree_eq_one _ $ degree_X_sub_C x
theorem splits_id_iff_splits {f : polynomial α} :
(f.map i).splits (ring_hom.id β) ↔ f.splits i :=
by rw [splits_map_iff, ring_hom.id_comp]
theorem splits_mul_iff {f g : polynomial α} (hf : f ≠ 0) (hg : g ≠ 0) :
(f * g).splits i ↔ f.splits i ∧ g.splits i :=
⟨splits_of_splits_mul i (mul_ne_zero hf hg), λ ⟨hfs, hgs⟩, splits_mul i hfs hgs⟩
theorem splits_prod {ι : Type w} {s : ι → polynomial α} {t : finset ι} :
(∀ j ∈ t, (s j).splits i) → (∏ x in t, s x).splits i :=
begin
refine finset.induction_on t (λ _, splits_one i) (λ a t hat ih ht, _),
rw finset.forall_mem_insert at ht, rw finset.prod_insert hat,
exact splits_mul i ht.1 (ih ht.2)
end
theorem splits_prod_iff {ι : Type w} {s : ι → polynomial α} {t : finset ι} :
(∀ j ∈ t, s j ≠ 0) → ((∏ x in t, s x).splits i ↔ ∀ j ∈ t, (s j).splits i) :=
begin
refine finset.induction_on t (λ _, ⟨λ _ _ h, h.elim, λ _, splits_one i⟩) (λ a t hat ih ht, _),
rw finset.forall_mem_insert at ht ⊢,
rw [finset.prod_insert hat, splits_mul_iff i ht.1 (finset.prod_ne_zero_iff.2 ht.2), ih ht.2]
end
lemma degree_eq_one_of_irreducible_of_splits {p : polynomial β}
(h_nz : p ≠ 0) (hp : irreducible p) (hp_splits : splits (ring_hom.id β) p) :
p.degree = 1 :=
begin
rcases hp_splits,
{ contradiction },
{ apply hp_splits hp, simp }
end
lemma exists_root_of_splits {f : polynomial α} (hs : splits i f) (hf0 : degree f ≠ 0) :
∃ x, eval₂ i x f = 0 :=
if hf0 : f = 0 then ⟨37, by simp [hf0]⟩
else
let ⟨g, hg⟩ := wf_dvd_monoid.exists_irreducible_factor
(show ¬ is_unit (f.map i), from mt is_unit_iff_degree_eq_zero.1 (by rwa degree_map))
(map_ne_zero hf0) in
let ⟨x, hx⟩ := exists_root_of_degree_eq_one (hs.resolve_left hf0 hg.1 hg.2) in
let ⟨i, hi⟩ := hg.2 in
⟨x, by rw [← eval_map, hi, eval_mul, show _ = _, from hx, zero_mul]⟩
lemma exists_multiset_of_splits {f : polynomial α} : splits i f →
∃ (s : multiset β), f.map i = C (i f.leading_coeff) *
(s.map (λ a : β, (X : polynomial β) - C a)).prod :=
suffices splits (ring_hom.id _) (f.map i) → ∃ s : multiset β, f.map i =
(C (f.map i).leading_coeff) * (s.map (λ a : β, (X : polynomial β) - C a)).prod,
by rwa [splits_map_iff, leading_coeff_map i] at this,
wf_dvd_monoid.induction_on_irreducible (f.map i)
(λ _, ⟨{37}, by simp [i.map_zero]⟩)
(λ u hu _, ⟨0,
by conv_lhs { rw eq_C_of_degree_eq_zero (is_unit_iff_degree_eq_zero.1 hu) };
simp [leading_coeff, nat_degree_eq_of_degree_eq_some (is_unit_iff_degree_eq_zero.1 hu)]⟩)
(λ f p hf0 hp ih hfs,
have hpf0 : p * f ≠ 0, from mul_ne_zero hp.ne_zero hf0,
let ⟨s, hs⟩ := ih (splits_of_splits_mul _ hpf0 hfs).2 in
⟨-(p * norm_unit p).coeff 0 ::ₘ s,
have hp1 : degree p = 1, from hfs.resolve_left hpf0 hp (by simp),
begin
rw [multiset.map_cons, multiset.prod_cons, leading_coeff_mul, C_mul, mul_assoc,
mul_left_comm (C f.leading_coeff), ← hs, ← mul_assoc, mul_left_inj' hf0],
conv_lhs {rw eq_X_add_C_of_degree_eq_one hp1},
simp only [mul_add, coe_norm_unit_of_ne_zero hp.ne_zero, mul_comm p, coeff_neg,
C_neg, sub_eq_add_neg, neg_neg, coeff_C_mul, (mul_assoc _ _ _).symm, C_mul.symm,
mul_inv_cancel (show p.leading_coeff ≠ 0, from mt leading_coeff_eq_zero.1
hp.ne_zero), one_mul],
end⟩)
/-- Pick a root of a polynomial that splits. -/
def root_of_splits {f : polynomial α} (hf : f.splits i) (hfd : f.degree ≠ 0) : β :=
classical.some $ exists_root_of_splits i hf hfd
theorem map_root_of_splits {f : polynomial α} (hf : f.splits i) (hfd) :
f.eval₂ i (root_of_splits i hf hfd) = 0 :=
classical.some_spec $ exists_root_of_splits i hf hfd
theorem roots_map {f : polynomial α} (hf : f.splits $ ring_hom.id α) :
(f.map i).roots = (f.roots).map i :=
if hf0 : f = 0 then by rw [hf0, map_zero, roots_zero, roots_zero, multiset.map_zero] else
have hmf0 : f.map i ≠ 0 := map_ne_zero hf0,
let ⟨m, hm⟩ := exists_multiset_of_splits _ hf in
have h1 : ∀ p ∈ m.map (λ r, X - C r), (p : _) ≠ 0,
from multiset.forall_mem_map_iff.2 $ λ _ _, X_sub_C_ne_zero _,
have h2 : ∀ p ∈ m.map (λ r, X - C (i r)), (p : _) ≠ 0,
from multiset.forall_mem_map_iff.2 $ λ _ _, X_sub_C_ne_zero _,
begin
rw map_id at hm, rw hm at hf0 hmf0 ⊢, rw map_mul at hmf0 ⊢,
rw [roots_mul hf0, roots_mul hmf0, map_C, roots_C, zero_add, roots_C, zero_add,
map_multiset_prod, multiset.map_map], simp_rw [(∘), map_sub, map_X, map_C],
rw [roots_multiset_prod _ h2, multiset.bind_map,
roots_multiset_prod _ h1, multiset.bind_map],
simp_rw roots_X_sub_C,
rw [multiset.bind_cons, multiset.bind_zero, add_zero,
multiset.bind_cons, multiset.bind_zero, add_zero, multiset.map_id']
end
lemma eq_prod_roots_of_splits {p : polynomial α} {i : α →+* β}
(hsplit : splits i p) :
p.map i = C (i p.leading_coeff) * ((p.map i).roots.map (λ a, X - C a)).prod :=
begin
by_cases p_eq_zero : p = 0,
{ rw [p_eq_zero, map_zero, leading_coeff_zero, i.map_zero, C.map_zero, zero_mul] },
obtain ⟨s, hs⟩ := exists_multiset_of_splits i hsplit,
have map_ne_zero : p.map i ≠ 0 := map_ne_zero (p_eq_zero),
have prod_ne_zero : C (i p.leading_coeff) * (multiset.map (λ a, X - C a) s).prod ≠ 0 :=
by rwa hs at map_ne_zero,
have ne_zero_of_mem : ∀ (p : polynomial β), p ∈ s.map (λ a, X - C a) → p ≠ 0,
{ intros p mem,
obtain ⟨a, _, rfl⟩ := multiset.mem_map.mp mem,
apply X_sub_C_ne_zero },
have map_bind_roots_eq : (s.map (λ a, X - C a)).bind (λ a, a.roots) = s,
{ refine multiset.induction_on s (by rw [multiset.map_zero, multiset.zero_bind]) _,
intros a s ih,
rw [multiset.map_cons, multiset.cons_bind, ih, roots_X_sub_C,
multiset.cons_add, zero_add] },
rw [hs, roots_mul prod_ne_zero, roots_C, zero_add,
roots_multiset_prod _ ne_zero_of_mem,
map_bind_roots_eq]
end
lemma eq_X_sub_C_of_splits_of_single_root {x : α} {h : polynomial α} (h_splits : splits i h)
(h_roots : (h.map i).roots = {i x}) : h = (C (leading_coeff h)) * (X - C x) :=
begin
apply polynomial.map_injective _ i.injective,
rw [eq_prod_roots_of_splits h_splits, h_roots],
simp,
end
lemma nat_degree_multiset_prod {R : Type*} [integral_domain R] {s : multiset (polynomial R)}
(h : ∀ p ∈ s, p ≠ (0 : polynomial R)) :
nat_degree s.prod = (s.map nat_degree).sum :=
begin
revert h,
refine s.induction_on _ _,
{ simp },
intros p s ih h,
have hs : ∀ p ∈ s, p ≠ (0 : polynomial R) := λ p hp, h p (multiset.mem_cons_of_mem hp),
have hprod : s.prod ≠ 0 := multiset.prod_ne_zero (λ p hp, hs p hp),
rw [multiset.prod_cons, nat_degree_mul (h p (multiset.mem_cons_self _ _)) hprod, ih hs,
multiset.map_cons, multiset.sum_cons],
end
lemma nat_degree_eq_card_roots {p : polynomial α} {i : α →+* β}
(hsplit : splits i p) : p.nat_degree = (p.map i).roots.card :=
begin
by_cases p_eq_zero : p = 0,
{ rw [p_eq_zero, nat_degree_zero, map_zero, roots_zero, multiset.card_zero] },
have map_ne_zero : p.map i ≠ 0 := map_ne_zero (p_eq_zero),
rw eq_prod_roots_of_splits hsplit at map_ne_zero,
conv_lhs { rw [← nat_degree_map i, eq_prod_roots_of_splits hsplit] },
have : ∀ p' ∈ (map i p).roots.map (λ a, X - C a), p' ≠ (0 : polynomial β),
{ intros p hp,
obtain ⟨a, ha, rfl⟩ := multiset.mem_map.mp hp,
exact X_sub_C_ne_zero _ },
simp [nat_degree_mul (left_ne_zero_of_mul map_ne_zero) (right_ne_zero_of_mul map_ne_zero),
nat_degree_multiset_prod this]
end
lemma degree_eq_card_roots {p : polynomial α} {i : α →+* β} (p_ne_zero : p ≠ 0)
(hsplit : splits i p) : p.degree = (p.map i).roots.card :=
by rw [degree_eq_nat_degree p_ne_zero, nat_degree_eq_card_roots hsplit]
section UFD
local attribute [instance, priority 10] principal_ideal_ring.to_unique_factorization_monoid
local infix ` ~ᵤ ` : 50 := associated
open unique_factorization_monoid associates
lemma splits_of_exists_multiset {f : polynomial α} {s : multiset β}
(hs : f.map i = C (i f.leading_coeff) * (s.map (λ a : β, (X : polynomial β) - C a)).prod) :
splits i f :=
if hf0 : f = 0 then or.inl hf0
else
or.inr $ λ p hp hdp,
have ht : multiset.rel associated
(factors (f.map i)) (s.map (λ a : β, (X : polynomial β) - C a)) :=
factors_unique
(λ p hp, irreducible_of_factor _ hp)
(λ p' m, begin
obtain ⟨a,m,rfl⟩ := multiset.mem_map.1 m,
exact irreducible_of_degree_eq_one (degree_X_sub_C _),
end)
(associated.symm $ calc _ ~ᵤ f.map i :
⟨(units.map' C : units β →* units (polynomial β)) (units.mk0 (f.map i).leading_coeff
(mt leading_coeff_eq_zero.1 (map_ne_zero hf0))),
by conv_rhs {rw [hs, ← leading_coeff_map i, mul_comm]}; refl⟩
... ~ᵤ _ : associated.symm (unique_factorization_monoid.factors_prod (by simpa using hf0))),
let ⟨q, hq, hpq⟩ := exists_mem_factors_of_dvd (by simpa) hp hdp in
let ⟨q', hq', hqq'⟩ := multiset.exists_mem_of_rel_of_mem ht hq in
let ⟨a, ha⟩ := multiset.mem_map.1 hq' in
by rw [← degree_X_sub_C a, ha.2];
exact degree_eq_degree_of_associated (hpq.trans hqq')
lemma splits_of_splits_id {f : polynomial α} : splits (ring_hom.id _) f → splits i f :=
unique_factorization_monoid.induction_on_prime f (λ _, splits_zero _)
(λ _ hu _, splits_of_degree_le_one _
((is_unit_iff_degree_eq_zero.1 hu).symm ▸ dec_trivial))
(λ a p ha0 hp ih hfi, splits_mul _
(splits_of_degree_eq_one _
((splits_of_splits_mul _ (mul_ne_zero hp.1 ha0) hfi).1.resolve_left
hp.1 (irreducible_of_prime hp) (by rw map_id)))
(ih (splits_of_splits_mul _ (mul_ne_zero hp.1 ha0) hfi).2))
end UFD
lemma splits_iff_exists_multiset {f : polynomial α} : splits i f ↔
∃ (s : multiset β), f.map i = C (i f.leading_coeff) *
(s.map (λ a : β, (X : polynomial β) - C a)).prod :=
⟨exists_multiset_of_splits i, λ ⟨s, hs⟩, splits_of_exists_multiset i hs⟩
lemma splits_comp_of_splits (j : β →+* γ) {f : polynomial α}
(h : splits i f) : splits (j.comp i) f :=
begin
change i with ((ring_hom.id _).comp i) at h,
rw [← splits_map_iff],
rw [← splits_map_iff i] at h,
exact splits_of_splits_id _ h
end
/-- A monic polynomial `p` that has as much roots as its degree
can be written `p = ∏(X - a)`, for `a` in `p.roots`. -/
lemma prod_multiset_X_sub_C_of_monic_of_roots_card_eq {p : polynomial α}
(hmonic : p.monic) (hroots : p.roots.card = p.nat_degree) :
(multiset.map (λ (a : α), X - C a) p.roots).prod = p :=
begin
have hprodmonic : (multiset.map (λ (a : α), X - C a) p.roots).prod.monic,
{ simp only [prod_multiset_root_eq_finset_root (ne_zero_of_monic hmonic),
monic_prod_of_monic, monic_X_sub_C, monic_pow, forall_true_iff] },
have hdegree : (multiset.map (λ (a : α), X - C a) p.roots).prod.nat_degree = p.nat_degree,
{ rw [← hroots, nat_degree_multiset_prod],
simp only [eq_self_iff_true, mul_one, nat.cast_id, nsmul_eq_mul, multiset.sum_repeat,
multiset.map_const,nat_degree_X_sub_C, function.comp, multiset.map_map],
intros x y,
simp only [multiset.mem_map] at y,
rcases y with ⟨a, ha, rfl⟩,
exact X_sub_C_ne_zero a },
obtain ⟨q, hq⟩ := prod_multiset_X_sub_C_dvd p,
have qzero : q ≠ 0,
{ rintro rfl, apply hmonic.ne_zero, simpa only [mul_zero] using hq },
have degp :
p.nat_degree = (multiset.map (λ (a : α), X - C a) p.roots).prod.nat_degree + q.nat_degree,
{ nth_rewrite 0 [hq],
simp only [nat_degree_mul (ne_zero_of_monic hprodmonic) qzero] },
have degq : q.nat_degree = 0,
{ rw hdegree at degp,
exact (add_right_inj p.nat_degree).mp (tactic.ring_exp.add_pf_sum_z degp rfl).symm },
obtain ⟨u, hu⟩ := is_unit_iff_degree_eq_zero.2 ((degree_eq_iff_nat_degree_eq qzero).2 degq),
have hassoc : associated (multiset.map (λ (a : α), X - C a) p.roots).prod p,
{ rw associated, use u, rw [hu, ← hq] },
exact eq_of_monic_of_associated hprodmonic hmonic hassoc
end
/-- A polynomial `p` that has as much roots as its degree
can be written `p = p.leading_coeff * ∏(X - a)`, for `a` in `p.roots`. -/
lemma C_leading_coeff_mul_prod_multiset_X_sub_C {p : polynomial α}
(hroots : p.roots.card = p.nat_degree) :
(C p.leading_coeff) * (multiset.map (λ (a : α), X - C a) p.roots).prod = p :=
begin
by_cases hzero : p = 0,
{ rw [hzero, leading_coeff_zero, ring_hom.map_zero, zero_mul], },
{ have hcoeff : p.leading_coeff ≠ 0,
{ intro h, exact hzero (leading_coeff_eq_zero.1 h) },
have hrootsnorm : (normalize p).roots.card = (normalize p).nat_degree,
{ rw [roots_normalize, normalize_apply, nat_degree_mul hzero (units.ne_zero _), hroots, coe_norm_unit,
nat_degree_C, add_zero], },
have hprod := prod_multiset_X_sub_C_of_monic_of_roots_card_eq (monic_normalize hzero) hrootsnorm,
rw [roots_normalize, normalize_apply, coe_norm_unit_of_ne_zero hzero] at hprod,
calc (C p.leading_coeff) * (multiset.map (λ (a : α), X - C a) p.roots).prod
= p * C ((p.leading_coeff)⁻¹ * p.leading_coeff) : by rw [hprod, mul_comm, mul_assoc, ← C_mul]
... = p * C 1 : by field_simp [hcoeff]
... = p : by simp only [mul_one, ring_hom.map_one], },
end
/-- A polynomial splits if and only if it has as much roots as its degree. -/
lemma splits_iff_card_roots {p : polynomial α} :
splits (ring_hom.id α) p ↔ p.roots.card = p.nat_degree :=
begin
split,
{ intro H, rw [nat_degree_eq_card_roots H, map_id] },
{ intro hroots,
apply (splits_iff_exists_multiset (ring_hom.id α)).2,
use p.roots,
simp only [ring_hom.id_apply, map_id],
exact (C_leading_coeff_mul_prod_multiset_X_sub_C hroots).symm },
end
end splits
end polynomial
section embeddings
variables (F : Type*) [field F]
/-- If `p` is the minimal polynomial of `a` over `F` then `F[a] ≃ₐ[F] F[x]/(p)` -/
def alg_equiv.adjoin_singleton_equiv_adjoin_root_minimal_polynomial
{R : Type*} [comm_ring R] [algebra F R] (x : R) (hx : is_integral F x) :
algebra.adjoin F ({x} : set R) ≃ₐ[F] adjoin_root (minimal_polynomial hx) :=
alg_equiv.symm $ alg_equiv.of_bijective
(alg_hom.cod_restrict
(adjoin_root.lift_hom _ x $ minimal_polynomial.aeval hx) _
(λ p, adjoin_root.induction_on _ p $ λ p,
(algebra.adjoin_singleton_eq_range F x).symm ▸ (polynomial.aeval _).mem_range.mpr ⟨p, rfl⟩))
⟨(alg_hom.injective_cod_restrict _ _ _).2 $ (alg_hom.injective_iff _).2 $ λ p,
adjoin_root.induction_on _ p $ λ p hp, ideal.quotient.eq_zero_iff_mem.2 $
ideal.mem_span_singleton.2 $ minimal_polynomial.dvd hx hp,
λ y, let ⟨p, _, hp⟩ := (subalgebra.ext_iff.1 (algebra.adjoin_singleton_eq_range F x) y).1 y.2 in
⟨adjoin_root.mk _ p, subtype.eq hp⟩⟩
open finset
-- Speed up the following proof.
local attribute [irreducible] minimal_polynomial
-- TODO: Why is this so slow?
/-- If `K` and `L` are field extensions of `F` and we have `s : finset K` such that
the minimal polynomial of each `x ∈ s` splits in `L` then `algebra.adjoin F s` embeds in `L`. -/
theorem lift_of_splits {F K L : Type*} [field F] [field K] [field L]
[algebra F K] [algebra F L] (s : finset K) :
(∀ x ∈ s, ∃ H : is_integral F x, polynomial.splits (algebra_map F L) (minimal_polynomial H)) →
nonempty (algebra.adjoin F (↑s : set K) →ₐ[F] L) :=
begin
refine finset.induction_on s (λ H, _) (λ a s has ih H, _),
{ rw [coe_empty, algebra.adjoin_empty],
exact ⟨(algebra.of_id F L).comp (algebra.bot_equiv F K)⟩ },
rw forall_mem_insert at H, rcases H with ⟨⟨H1, H2⟩, H3⟩, cases ih H3 with f, choose H3 H4 using H3,
rw [coe_insert, set.insert_eq, set.union_comm, algebra.adjoin_union],
letI := (f : algebra.adjoin F (↑s : set K) →+* L).to_algebra,
haveI : finite_dimensional F (algebra.adjoin F (↑s : set K)) :=
(submodule.fg_iff_finite_dimensional _).1 (fg_adjoin_of_finite (set.finite_mem_finset s) H3),
letI := field_of_finite_dimensional F (algebra.adjoin F (↑s : set K)),
have H5 : is_integral (algebra.adjoin F (↑s : set K)) a := is_integral_of_is_scalar_tower a H1,
have H6 : (minimal_polynomial H5).splits (algebra_map (algebra.adjoin F (↑s : set K)) L),
{ refine polynomial.splits_of_splits_of_dvd _
(polynomial.map_ne_zero $ minimal_polynomial.ne_zero H1 :
polynomial.map (algebra_map _ _) _ ≠ 0)
((polynomial.splits_map_iff _ _).2 _)
(minimal_polynomial.dvd _ _),
{ rw ← is_scalar_tower.algebra_map_eq, exact H2 },
{ rw [← is_scalar_tower.aeval_apply, minimal_polynomial.aeval H1] } },
obtain ⟨y, hy⟩ := polynomial.exists_root_of_splits _ H6
(ne_of_lt (minimal_polynomial.degree_pos H5)).symm,
exact ⟨subalgebra.of_under _ _ $ (adjoin_root.lift_hom (minimal_polynomial H5) y hy).comp $
alg_equiv.adjoin_singleton_equiv_adjoin_root_minimal_polynomial _ _ H5⟩
end
end embeddings
namespace polynomial
variables [field α] [field β] [field γ]
open polynomial
section splitting_field
/-- Non-computably choose an irreducible factor from a polynomial. -/
def factor (f : polynomial α) : polynomial α :=
if H : ∃ g, irreducible g ∧ g ∣ f then classical.some H else X
instance irreducible_factor (f : polynomial α) : irreducible (factor f) :=
begin
rw factor, split_ifs with H, { exact (classical.some_spec H).1 }, { exact irreducible_X }
end
theorem factor_dvd_of_not_is_unit {f : polynomial α} (hf1 : ¬is_unit f) : factor f ∣ f :=
begin
by_cases hf2 : f = 0, { rw hf2, exact dvd_zero _ },
rw [factor, dif_pos (wf_dvd_monoid.exists_irreducible_factor hf1 hf2)],
exact (classical.some_spec $ wf_dvd_monoid.exists_irreducible_factor hf1 hf2).2
end
theorem factor_dvd_of_degree_ne_zero {f : polynomial α} (hf : f.degree ≠ 0) : factor f ∣ f :=
factor_dvd_of_not_is_unit (mt degree_eq_zero_of_is_unit hf)
theorem factor_dvd_of_nat_degree_ne_zero {f : polynomial α} (hf : f.nat_degree ≠ 0) : factor f ∣ f :=
factor_dvd_of_degree_ne_zero (mt nat_degree_eq_of_degree_eq_some hf)
/-- Divide a polynomial f by X - C r where r is a root of f in a bigger field extension. -/
def remove_factor (f : polynomial α) : polynomial (adjoin_root $ factor f) :=
map (adjoin_root.of f.factor) f /ₘ (X - C (adjoin_root.root f.factor))
theorem X_sub_C_mul_remove_factor (f : polynomial α) (hf : f.nat_degree ≠ 0) :
(X - C (adjoin_root.root f.factor)) * f.remove_factor = map (adjoin_root.of f.factor) f :=
let ⟨g, hg⟩ := factor_dvd_of_nat_degree_ne_zero hf in
mul_div_by_monic_eq_iff_is_root.2 $ by rw [is_root.def, eval_map, hg, eval₂_mul, ← hg,
adjoin_root.eval₂_root, zero_mul]
theorem nat_degree_remove_factor (f : polynomial α) :
f.remove_factor.nat_degree = f.nat_degree - 1 :=
by rw [remove_factor, nat_degree_div_by_monic _ (monic_X_sub_C _), nat_degree_map, nat_degree_X_sub_C]
theorem nat_degree_remove_factor' {f : polynomial α} {n : ℕ} (hfn : f.nat_degree = n+1) :
f.remove_factor.nat_degree = n :=
by rw [nat_degree_remove_factor, hfn, n.add_sub_cancel]
/-- Auxiliary construction to a splitting field of a polynomial. Uses induction on the degree. -/
def splitting_field_aux (n : ℕ) : Π {α : Type u} [field α], by exactI Π (f : polynomial α),
f.nat_degree = n → Type u :=
nat.rec_on n (λ α _ _ _, α) $ λ n ih α _ f hf, by exactI
ih f.remove_factor (nat_degree_remove_factor' hf)
namespace splitting_field_aux
theorem succ (n : ℕ) (f : polynomial α) (hfn : f.nat_degree = n + 1) :
splitting_field_aux (n+1) f hfn =
splitting_field_aux n f.remove_factor (nat_degree_remove_factor' hfn) := rfl
instance field (n : ℕ) : Π {α : Type u} [field α], by exactI
Π {f : polynomial α} (hfn : f.nat_degree = n), field (splitting_field_aux n f hfn) :=
nat.rec_on n (λ α _ _ _, ‹field α›) $ λ n ih α _ f hf, ih _
instance inhabited {n : ℕ} {f : polynomial α} (hfn : f.nat_degree = n) :
inhabited (splitting_field_aux n f hfn) := ⟨37⟩
instance algebra (n : ℕ) : Π {α : Type u} [field α], by exactI
Π {f : polynomial α} (hfn : f.nat_degree = n), algebra α (splitting_field_aux n f hfn) :=
nat.rec_on n (λ α _ _ _, by exactI algebra.id α) $ λ n ih α _ f hfn,
by exactI @@algebra.comap.algebra _ _ _ _ _ _ _ (ih _)
instance algebra' {n : ℕ} {f : polynomial α} (hfn : f.nat_degree = n + 1) :
algebra (adjoin_root f.factor) (splitting_field_aux _ _ hfn) :=
splitting_field_aux.algebra n _
instance algebra'' {n : ℕ} {f : polynomial α} (hfn : f.nat_degree = n + 1) :
algebra α (splitting_field_aux n f.remove_factor (nat_degree_remove_factor' hfn)) :=
splitting_field_aux.algebra (n+1) hfn
instance algebra''' {n : ℕ} {f : polynomial α} (hfn : f.nat_degree = n + 1) :
algebra (adjoin_root f.factor)
(splitting_field_aux n f.remove_factor (nat_degree_remove_factor' hfn)) :=
splitting_field_aux.algebra n _
instance scalar_tower {n : ℕ} {f : polynomial α} (hfn : f.nat_degree = n + 1) :
is_scalar_tower α (adjoin_root f.factor) (splitting_field_aux _ _ hfn) :=
is_scalar_tower.of_algebra_map_eq $ λ x, rfl
instance scalar_tower' {n : ℕ} {f : polynomial α} (hfn : f.nat_degree = n + 1) :
is_scalar_tower α (adjoin_root f.factor)
(splitting_field_aux n f.remove_factor (nat_degree_remove_factor' hfn)) :=
is_scalar_tower.of_algebra_map_eq $ λ x, rfl
theorem algebra_map_succ (n : ℕ) (f : polynomial α) (hfn : f.nat_degree = n + 1) :
by exact algebra_map α (splitting_field_aux _ _ hfn) =
(algebra_map (adjoin_root f.factor)
(splitting_field_aux n f.remove_factor (nat_degree_remove_factor' hfn))).comp
(adjoin_root.of f.factor) :=
rfl
protected theorem splits (n : ℕ) : ∀ {α : Type u} [field α], by exactI
∀ (f : polynomial α) (hfn : f.nat_degree = n),
splits (algebra_map α $ splitting_field_aux n f hfn) f :=
nat.rec_on n (λ α _ _ hf, by exactI splits_of_degree_le_one _
(le_trans degree_le_nat_degree $ hf.symm ▸ with_bot.coe_le_coe.2 zero_le_one)) $ λ n ih α _ f hf,
by { resetI, rw [← splits_id_iff_splits, algebra_map_succ, ← map_map, splits_id_iff_splits,
← X_sub_C_mul_remove_factor f (λ h, by { rw h at hf, cases hf })],
exact splits_mul _ (splits_X_sub_C _) (ih _ _) }
theorem exists_lift (n : ℕ) : ∀ {α : Type u} [field α], by exactI
∀ (f : polynomial α) (hfn : f.nat_degree = n) {β : Type*} [field β], by exactI
∀ (j : α →+* β) (hf : splits j f), ∃ k : splitting_field_aux n f hfn →+* β,
k.comp (algebra_map _ _) = j :=
nat.rec_on n (λ α _ _ _ β _ j _, by exactI ⟨j, j.comp_id⟩) $ λ n ih α _ f hf β _ j hj, by exactI
have hndf : f.nat_degree ≠ 0, by { intro h, rw h at hf, cases hf },
have hfn0 : f ≠ 0, by { intro h, rw h at hndf, exact hndf rfl },
let ⟨r, hr⟩ := exists_root_of_splits _ (splits_of_splits_of_dvd j hfn0 hj
(factor_dvd_of_nat_degree_ne_zero hndf)) (mt is_unit_iff_degree_eq_zero.2 f.irreducible_factor.1) in
have hmf0 : map (adjoin_root.of f.factor) f ≠ 0, from map_ne_zero hfn0,
have hsf : splits (adjoin_root.lift j r hr) f.remove_factor,
by { rw ← X_sub_C_mul_remove_factor _ hndf at hmf0, refine (splits_of_splits_mul _ hmf0 _).2,
rwa [X_sub_C_mul_remove_factor _ hndf, ← splits_id_iff_splits, map_map, adjoin_root.lift_comp_of,
splits_id_iff_splits] },
let ⟨k, hk⟩ := ih f.remove_factor (nat_degree_remove_factor' hf) (adjoin_root.lift j r hr) hsf in
⟨k, by rw [algebra_map_succ, ← ring_hom.comp_assoc, hk, adjoin_root.lift_comp_of]⟩
theorem adjoin_roots (n : ℕ) : ∀ {α : Type u} [field α], by exactI
∀ (f : polynomial α) (hfn : f.nat_degree = n),
algebra.adjoin α (↑(f.map $ algebra_map α $ splitting_field_aux n f hfn).roots.to_finset :
set (splitting_field_aux n f hfn)) = ⊤ :=
nat.rec_on n (λ α _ f hf, by exactI algebra.eq_top_iff.2 (λ x, subalgebra.range_le _ ⟨x, rfl⟩)) $
λ n ih α _ f hfn, by exactI
have hndf : f.nat_degree ≠ 0, by { intro h, rw h at hfn, cases hfn },
have hfn0 : f ≠ 0, by { intro h, rw h at hndf, exact hndf rfl },
have hmf0 : map (algebra_map α (splitting_field_aux n.succ f hfn)) f ≠ 0 := map_ne_zero hfn0,
by { rw [algebra_map_succ, ← map_map, ← X_sub_C_mul_remove_factor _ hndf, map_mul] at hmf0 ⊢,
rw [roots_mul hmf0, map_sub, map_X, map_C, roots_X_sub_C, multiset.to_finset_add, finset.coe_union,
multiset.to_finset_cons, multiset.to_finset_zero, insert_emptyc_eq, finset.coe_singleton,
algebra.adjoin_union, ← set.image_singleton, algebra.adjoin_algebra_map α (adjoin_root f.factor)
(splitting_field_aux n f.remove_factor (nat_degree_remove_factor' hfn)),
adjoin_root.adjoin_root_eq_top, algebra.map_top,
is_scalar_tower.range_under_adjoin α (adjoin_root f.factor)
(splitting_field_aux n f.remove_factor (nat_degree_remove_factor' hfn)),
ih, subalgebra.res_top] }
end splitting_field_aux
/-- A splitting field of a polynomial. -/
def splitting_field (f : polynomial α) :=
splitting_field_aux _ f rfl
namespace splitting_field
variables (f : polynomial α)
instance : field (splitting_field f) :=
splitting_field_aux.field _ _
instance inhabited : inhabited (splitting_field f) := ⟨37⟩
instance : algebra α (splitting_field f) :=
splitting_field_aux.algebra _ _
protected theorem splits : splits (algebra_map α (splitting_field f)) f :=
splitting_field_aux.splits _ _ _
variables [algebra α β] (hb : splits (algebra_map α β) f)
/-- Embeds the splitting field into any other field that splits the polynomial. -/
def lift : splitting_field f →ₐ[α] β :=
{ commutes' := λ r, by { have := classical.some_spec (splitting_field_aux.exists_lift _ _ _ _ hb),
exact ring_hom.ext_iff.1 this r },
.. classical.some (splitting_field_aux.exists_lift _ _ _ _ hb) }
theorem adjoin_roots : algebra.adjoin α
(↑(f.map (algebra_map α $ splitting_field f)).roots.to_finset : set (splitting_field f)) = ⊤ :=
splitting_field_aux.adjoin_roots _ _ _
end splitting_field
variables (α β) [algebra α β]
/-- Typeclass characterising splitting fields. -/
class is_splitting_field (f : polynomial α) : Prop :=
(splits [] : splits (algebra_map α β) f)
(adjoin_roots [] : algebra.adjoin α (↑(f.map (algebra_map α β)).roots.to_finset : set β) = ⊤)
namespace is_splitting_field
variables {α}
instance splitting_field (f : polynomial α) : is_splitting_field α (splitting_field f) f :=
⟨splitting_field.splits f, splitting_field.adjoin_roots f⟩
section scalar_tower
variables {α β γ} [algebra β γ] [algebra α γ] [is_scalar_tower α β γ]
variables {α}
instance map (f : polynomial α) [is_splitting_field α γ f] :
is_splitting_field β γ (f.map $ algebra_map α β) :=
⟨by { rw [splits_map_iff, ← is_scalar_tower.algebra_map_eq], exact splits γ f },
subalgebra.res_inj α $ by { rw [map_map, ← is_scalar_tower.algebra_map_eq, subalgebra.res_top,
eq_top_iff, ← adjoin_roots γ f, algebra.adjoin_le_iff],
exact λ x hx, @algebra.subset_adjoin β _ _ _ _ _ _ hx }⟩
variables {α} (β)
theorem splits_iff (f : polynomial α) [is_splitting_field α β f] :
polynomial.splits (ring_hom.id α) f ↔ (⊤ : subalgebra α β) = ⊥ :=
⟨λ h, eq_bot_iff.2 $ adjoin_roots β f ▸ (roots_map (algebra_map α β) h).symm ▸
algebra.adjoin_le_iff.2 (λ y hy,
let ⟨x, hxs, hxy⟩ := finset.mem_image.1 (by rwa multiset.to_finset_map at hy) in
hxy ▸ subalgebra.algebra_map_mem _ _),
λ h, @ring_equiv.to_ring_hom_refl α _ ▸
ring_equiv.trans_symm (ring_equiv.of_bijective _ $ algebra.bijective_algebra_map_iff.2 h) ▸
by { rw ring_equiv.to_ring_hom_trans, exact splits_comp_of_splits _ _ (splits β f) }⟩
theorem mul (f g : polynomial α) (hf : f ≠ 0) (hg : g ≠ 0) [is_splitting_field α β f]
[is_splitting_field β γ (g.map $ algebra_map α β)] :
is_splitting_field α γ (f * g) :=
⟨(is_scalar_tower.algebra_map_eq α β γ).symm ▸ splits_mul _
(splits_comp_of_splits _ _ (splits β f))
((splits_map_iff _ _).1 (splits γ $ g.map $ algebra_map α β)),
by rw [map_mul, roots_mul (mul_ne_zero (map_ne_zero hf : f.map (algebra_map α γ) ≠ 0)
(map_ne_zero hg)), multiset.to_finset_add, finset.coe_union, algebra.adjoin_union,
is_scalar_tower.algebra_map_eq α β γ, ← map_map,
roots_map (algebra_map β γ) ((splits_id_iff_splits $ algebra_map α β).2 $ splits β f),
multiset.to_finset_map, finset.coe_image, algebra.adjoin_algebra_map, adjoin_roots,
algebra.map_top, is_scalar_tower.range_under_adjoin, ← map_map, adjoin_roots,
subalgebra.res_top]⟩
end scalar_tower
/-- Splitting field of `f` embeds into any field that splits `f`. -/
def lift [algebra α γ] (f : polynomial α) [is_splitting_field α β f]
(hf : polynomial.splits (algebra_map α γ) f) : β →ₐ[α] γ :=
if hf0 : f = 0 then (algebra.of_id α γ).comp $
(algebra.bot_equiv α β : (⊥ : subalgebra α β) →ₐ[α] α).comp $
by { rw ← (splits_iff β f).1 (show f.splits (ring_hom.id α), from hf0.symm ▸ splits_zero _),
exact algebra.to_top } else
alg_hom.comp (by { rw ← adjoin_roots β f, exact classical.choice (lift_of_splits _ $ λ y hy,
have aeval y f = 0, from (eval₂_eq_eval_map _).trans $
(mem_roots $ by exact map_ne_zero hf0).1 (multiset.mem_to_finset.mp hy),
⟨(is_algebraic_iff_is_integral _).1 ⟨f, hf0, this⟩,
splits_of_splits_of_dvd _ hf0 hf $ minimal_polynomial.dvd _ this⟩) })
algebra.to_top
theorem finite_dimensional (f : polynomial α) [is_splitting_field α β f] : finite_dimensional α β :=
finite_dimensional.iff_fg.2 $ @algebra.coe_top α β _ _ _ ▸ adjoin_roots β f ▸
fg_adjoin_of_finite (set.finite_mem_finset _) (λ y hy,
if hf : f = 0
then by { rw [hf, map_zero, roots_zero] at hy, cases hy }
else (is_algebraic_iff_is_integral _).1 ⟨f, hf, (eval₂_eq_eval_map _).trans $
(mem_roots $ by exact map_ne_zero hf).1 (multiset.mem_to_finset.mp hy)⟩)
/-- Any splitting field is isomorphic to `splitting_field f`. -/
def alg_equiv (f : polynomial α) [is_splitting_field α β f] : β ≃ₐ[α] splitting_field f :=
begin
refine alg_equiv.of_bijective (lift β f $ splits (splitting_field f) f)
⟨ring_hom.injective (lift β f $ splits (splitting_field f) f).to_ring_hom, _⟩,
haveI := finite_dimensional (splitting_field f) f,
haveI := finite_dimensional β f,
have : finite_dimensional.findim α β = finite_dimensional.findim α (splitting_field f) :=
le_antisymm
(linear_map.findim_le_findim_of_injective
(show function.injective (lift β f $ splits (splitting_field f) f).to_linear_map, from
ring_hom.injective (lift β f $ splits (splitting_field f) f : β →+* f.splitting_field)))
(linear_map.findim_le_findim_of_injective
(show function.injective (lift (splitting_field f) f $ splits β f).to_linear_map, from
ring_hom.injective (lift (splitting_field f) f $ splits β f : f.splitting_field →+* β))),
change function.surjective (lift β f $ splits (splitting_field f) f).to_linear_map,
refine (linear_map.injective_iff_surjective_of_findim_eq_findim this).1 _,
exact ring_hom.injective (lift β f $ splits (splitting_field f) f : β →+* f.splitting_field)
end
end is_splitting_field
end splitting_field
end polynomial
|
04d8a12719cd978ec376955760e2667562d0625f | e7de183433d907275be4926240a8c8ddb5915131 | /recipes/plain-lean4.lean | 8392bde01b15314227eec4f6fc410dfc8e887d65 | [
"MIT"
] | permissive | cpitclaudel/alectryon | 70b01086e9b4aee4f18017621578004903ce74d3 | 11e8cdc8395d66858baa7371b6cf8e827ca38f4a | refs/heads/master | 1,683,666,125,135 | 1,683,473,634,000 | 1,683,473,844,000 | 260,735,576 | 206 | 29 | MIT | 1,655,000,579,000 | 1,588,439,321,000 | HTML | UTF-8 | Lean | false | false | 383 | lean | /- To compile:
alectryon --frontend lean4 plain-lean4.lean # Lean → HTML; produces ‘plain-lean4.lean.html’ -/
-- Queries:
#check Nat #check Bool
-- Proofs:
theorem test (p q : Prop) (hp : p) (hq : q): p ∧ q ↔ q ∧ p := by
apply Iff.intro
. intro h
apply And.intro
. exact hq
. exact hp
. intro h
apply And.intro
. exact hp
. exact hq
|
44105b63a92a6a5d4937dfe169ff01182a8ea524 | 67190c9aacc0cac64fb4463d93e84c696a5be896 | /Lists of exercises/List 5/cap12-Domingues.lean | 6e98e9749385bd76691f5ae043d12543588845a8 | [] | no_license | lucasresck/Discrete-Mathematics | ffbaf55943e7ce2c7bc50cef7e3ef66a0212f738 | 0a08081c5f393e5765259d3f1253c3a6dd043dac | refs/heads/master | 1,596,627,857,734 | 1,573,411,500,000 | 1,573,411,500,000 | 212,489,764 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 5,303 | lean | /-
aluno:
- Lucas Emanuel Resck Domingues
-/
open set
-- ex 1
section
variable U : Type
variables A B C : set U
example : ∀ x, x ∈ A ∩ C → x ∈ A ∪ B :=
assume x,
show x ∈ A ∩ C → x ∈ A ∪ B, from
assume h1 : x ∈ A ∩ C,
show x ∈ A ∪ B, from or.inl h1.left
example : ∀ x, x ∈ -(A ∪ B) → x ∈ -A :=
assume x,
show x ∈ -(A ∪ B) → x ∈ -A, from
assume h1 : x ∈ -(A ∪ B),
show x ∈ -A, from
assume h2 : x ∈ A,
show false, from h1 $ or.inl h2
end
-- ex 2
section
variable {U : Type}
/- defining "disjoint" -/
def disj (A B : set U) : Prop := ∀ ⦃x⦄, x ∈ A → x ∈ B → false
example (A B : set U) (h : ∀ x, ¬ (x ∈ A ∧ x ∈ B)) :
disj A B :=
assume x,
assume h1 : x ∈ A,
assume h2 : x ∈ B,
have h3 : x ∈ A ∧ x ∈ B, from and.intro h1 h2,
show false, from h x h3
-- notice that we do not have to mention x when applying
-- h : disj A B
example (A B : set U) (h1 : disj A B) (x : U)
(h2 : x ∈ A) (h3 : x ∈ B) :
false :=
h1 h2 h3
-- the same is true of ⊆
example (A B : set U) (x : U) (h : A ⊆ B) (h1 : x ∈ A) :
x ∈ B :=
h h1
example (A B C D : set U) (h1 : disj A B) (h2 : C ⊆ A)
(h3 : D ⊆ B) :
disj C D :=
assume x,
show x ∈ C → x ∈ D → false, from
assume h4 : x ∈ C,
show x ∈ D → false, from
assume h5 : x ∈ D,
show false, from h1 (h2 h4) (h3 h5)
end
-- ex 3
section
variables {I U : Type}
variables {A B : I → set U}
def Union (A : I → set U) : set U := { x | ∃ i : I, x ∈ A i }
def Inter (A : I → set U) : set U := { x | ∀ i : I, x ∈ A i }
notation `⋃` binders `, ` r:(scoped f, Union f) := r
notation `⋂` binders `, ` r:(scoped f, Inter f) := r
theorem Inter.intro {x : U} (h : ∀ i, x ∈ A i) : x ∈ ⋂ i, A i :=
by simp; assumption
@[elab_simple]
theorem Inter.elim {x : U} (h : x ∈ ⋂ i, A i) (i : I) : x ∈ A i :=
by simp at h; apply h
theorem Union.intro {x : U} (i : I) (h : x ∈ A i) : x ∈ ⋃ i, A i :=
by {simp, existsi i, exact h}
theorem Union.elim {b : Prop} {x : U}
(h₁ : x ∈ ⋃ i, A i) (h₂ : ∀ (i : I), x ∈ A i → b) : b :=
by {simp at h₁, cases h₁ with i h, exact h₂ i h}
end
section
variables {I U : Type}
variables (A : I → set U) (B : I → set U) (C : set U)
example : (⋂ i, A i) ∩ (⋂ i, B i) ⊆ (⋂ i, A i ∩ B i) :=
assume x,
show x ∈ (⋂ i, A i) ∩ (⋂ i, B i) → x ∈ (⋂ i, A i ∩ B i), from
assume h1 : x ∈ (⋂ i, A i) ∩ (⋂ i, B i),
have h2 : x ∈ (⋂ i, A i), from h1.left,
have h3 : x ∈ (⋂ i, B i), from h1.right,
show x ∈ (⋂ i, A i ∩ B i), from Inter.intro $
assume i,
have h4 : x ∈ A i, from Inter.elim h2 i,
have h5 : x ∈ B i, from Inter.elim h3 i,
show x ∈ A i ∩ B i, from and.intro h4 h5
example : C ∩ (⋃i, A i) ⊆ ⋃i, C ∩ A i :=
assume x,
show x ∈ C ∩ (⋃i, A i) → x ∈ ⋃i, C ∩ A i, from
assume h1 : x ∈ C ∩ (⋃i, A i),
have h2 : x ∈ ⋃i, A i, from h1.right,
have h5 : x ∈ C, from h1.left,
show x ∈ ⋃i, C ∩ A i, from Union.elim h2 $
assume i,
show x ∈ A i → x ∈ ⋃j, C ∩ A j, from
assume h3 : x ∈ A i,
have h4 : x ∈ C ∩ A i, from and.intro h5 h3,
show x ∈ ⋃j, C ∩ A j, from Union.intro i h4
end
-- ex 4
section
variable {U : Type}
variables A B C : set U
universes u v w x
theorem subset.refl (A : set U) : A ⊆ A :=
assume x,
show x ∈ A → x ∈ A, from
assume h : x ∈ A,
show x ∈ A, from h
theorem subset.trans {A B C : set U} (h1 : A ⊆ B) (h2 : B ⊆ C) : A ⊆ C :=
assume x,
show x ∈ A → x ∈ C, from
assume h3 : x ∈ A,
have h4 : x ∈ B, from h1 h3,
show x ∈ C, from h2 h4
-- For this exercise these two facts are useful
example (h1 : A ⊆ B) (h2 : B ⊆ C) : A ⊆ C :=
subset.trans h1 h2
example : A ⊆ A :=
subset.refl A
example (h : A ⊆ B) : powerset A ⊆ powerset B :=
assume X : set U,
show X ∈ powerset A → X ∈ powerset B, from
assume h1 : X ∈ powerset A,
have h2 : X ⊆ A, from h1,
have h3 : X ⊆ B, from subset.trans h2 h,
show X ∈ powerset B, from h3
example (h : powerset A ⊆ powerset B) : A ⊆ B :=
assume x,
show x ∈ A → x ∈ B, from
assume h1 : x ∈ A,
have h2 : ∀ X, X ⊆ A → X ⊆ B, from h,
have h3 : A ⊆ A, from subset.refl A,
have h4 : A ⊆ B, from h2 A h3,
show x ∈ B, from h4 h1
end
|
b68ff8c0207751f5a786275633bb3d650491eb8b | 432d948a4d3d242fdfb44b81c9e1b1baacd58617 | /src/ring_theory/adjoin_root.lean | 2948c8c5be7285ca1628e4cae56a775114bb9842 | [
"Apache-2.0"
] | permissive | JLimperg/aesop3 | 306cc6570c556568897ed2e508c8869667252e8a | a4a116f650cc7403428e72bd2e2c4cda300fe03f | refs/heads/master | 1,682,884,916,368 | 1,620,320,033,000 | 1,620,320,033,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 9,700 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Chris Hughes
Adjoining roots of polynomials
-/
import data.polynomial.field_division
import linear_algebra.finite_dimensional
import ring_theory.adjoin.basic
import ring_theory.power_basis
import ring_theory.principal_ideal_domain
/-!
# Adjoining roots of polynomials
This file defines the commutative ring `adjoin_root f`, the ring R[X]/(f) obtained from a
commutative ring `R` and a polynomial `f : R[X]`. If furthermore `R` is a field and `f` is
irreducible, the field structure on `adjoin_root f` is constructed.
## Main definitions and results
The main definitions are in the `adjoin_root` namespace.
* `mk f : polynomial R →+* adjoin_root f`, the natural ring homomorphism.
* `of f : R →+* adjoin_root f`, the natural ring homomorphism.
* `root f : adjoin_root f`, the image of X in R[X]/(f).
* `lift (i : R →+* S) (x : S) (h : f.eval₂ i x = 0) : (adjoin_root f) →+* S`, the ring
homomorphism from R[X]/(f) to S extending `i : R →+* S` and sending `X` to `x`.
* `lift_hom (x : S) (hfx : aeval x f = 0) : adjoin_root f →ₐ[R] S`, the algebra
homomorphism from R[X]/(f) to S extending `algebra_map R S` and sending `X` to `x`
* `equiv : (adjoin_root f →ₐ[F] E) ≃ {x // x ∈ (f.map (algebra_map F E)).roots}` a
bijection between algebra homomorphisms from `adjoin_root` and roots of `f` in `S`
-/
noncomputable theory
open_locale classical
open_locale big_operators
universes u v w
variables {R : Type u} {S : Type v} {K : Type w}
open polynomial ideal
/-- Adjoin a root of a polynomial `f` to a commutative ring `R`. We define the new ring
as the quotient of `R` by the principal ideal of `f`. -/
def adjoin_root [comm_ring R] (f : polynomial R) : Type u :=
ideal.quotient (span {f} : ideal (polynomial R))
namespace adjoin_root
section comm_ring
variables [comm_ring R] (f : polynomial R)
instance : comm_ring (adjoin_root f) := ideal.quotient.comm_ring _
instance : inhabited (adjoin_root f) := ⟨0⟩
instance : decidable_eq (adjoin_root f) := classical.dec_eq _
/-- Ring homomorphism from `R[x]` to `adjoin_root f` sending `X` to the `root`. -/
def mk : polynomial R →+* adjoin_root f := ideal.quotient.mk _
@[elab_as_eliminator]
theorem induction_on {C : adjoin_root f → Prop} (x : adjoin_root f)
(ih : ∀ p : polynomial R, C (mk f p)) : C x :=
quotient.induction_on' x ih
/-- Embedding of the original ring `R` into `adjoin_root f`. -/
def of : R →+* adjoin_root f := (mk f).comp (ring_hom.of C)
instance : algebra R (adjoin_root f) := (of f).to_algebra
@[simp] lemma algebra_map_eq : algebra_map R (adjoin_root f) = of f := rfl
/-- The adjoined root. -/
def root : adjoin_root f := mk f X
variables {f}
instance adjoin_root.has_coe_t : has_coe_t R (adjoin_root f) := ⟨of f⟩
@[simp] lemma mk_self : mk f f = 0 :=
quotient.sound' (mem_span_singleton.2 $ by simp)
@[simp] lemma mk_C (x : R) : mk f (C x) = x := rfl
@[simp] lemma mk_X : mk f X = root f := rfl
@[simp] lemma aeval_eq (p : polynomial R) : aeval (root f) p = mk f p :=
polynomial.induction_on p (λ x, by { rw aeval_C, refl })
(λ p q ihp ihq, by rw [alg_hom.map_add, ring_hom.map_add, ihp, ihq])
(λ n x ih, by { rw [alg_hom.map_mul, aeval_C, alg_hom.map_pow, aeval_X,
ring_hom.map_mul, mk_C, ring_hom.map_pow, mk_X], refl })
theorem adjoin_root_eq_top : algebra.adjoin R ({root f} : set (adjoin_root f)) = ⊤ :=
algebra.eq_top_iff.2 $ λ x, induction_on f x $ λ p,
(algebra.adjoin_singleton_eq_range R (root f)).symm ▸ ⟨p, aeval_eq p⟩
@[simp] lemma eval₂_root (f : polynomial R) : f.eval₂ (of f) (root f) = 0 :=
by rw [← algebra_map_eq, ← aeval_def, aeval_eq, mk_self]
lemma is_root_root (f : polynomial R) : is_root (f.map (of f)) (root f) :=
by rw [is_root, eval_map, eval₂_root]
variables [comm_ring S]
/-- Lift a ring homomorphism `i : R →+* S` to `adjoin_root f →+* S`. -/
def lift (i : R →+* S) (x : S) (h : f.eval₂ i x = 0) : (adjoin_root f) →+* S :=
begin
apply ideal.quotient.lift _ (eval₂_ring_hom i x),
intros g H,
rcases mem_span_singleton.1 H with ⟨y, hy⟩,
rw [hy, ring_hom.map_mul, coe_eval₂_ring_hom, h, zero_mul]
end
variables {i : R →+* S} {a : S} {h : f.eval₂ i a = 0}
@[simp] lemma lift_mk {g : polynomial R} : lift i a h (mk f g) = g.eval₂ i a :=
ideal.quotient.lift_mk _ _ _
@[simp] lemma lift_root : lift i a h (root f) = a := by rw [root, lift_mk, eval₂_X]
@[simp] lemma lift_of {x : R} : lift i a h x = i x :=
by rw [← mk_C x, lift_mk, eval₂_C]
@[simp] lemma lift_comp_of : (lift i a h).comp (of f) = i :=
ring_hom.ext $ λ _, @lift_of _ _ _ _ _ _ _ h _
variables (f) [algebra R S]
/-- Produce an algebra homomorphism `adjoin_root f →ₐ[R] S` sending `root f` to
a root of `f` in `S`. -/
def lift_hom (x : S) (hfx : aeval x f = 0) : adjoin_root f →ₐ[R] S :=
{ commutes' := λ r, show lift _ _ hfx r = _, from lift_of, .. lift (algebra_map R S) x hfx }
@[simp] lemma coe_lift_hom (x : S) (hfx : aeval x f = 0) :
(lift_hom f x hfx : adjoin_root f →+* S) = lift (algebra_map R S) x hfx := rfl
@[simp] lemma aeval_alg_hom_eq_zero (ϕ : adjoin_root f →ₐ[R] S) : aeval (ϕ (root f)) f = 0 :=
begin
have h : ϕ.to_ring_hom.comp (of f) = algebra_map R S := ring_hom.ext_iff.mpr (ϕ.commutes),
rw [aeval_def, ←h, ←ring_hom.map_zero ϕ.to_ring_hom, ←eval₂_root f, hom_eval₂],
refl,
end
@[simp] lemma lift_hom_eq_alg_hom (f : polynomial R) (ϕ : adjoin_root f →ₐ[R] S) :
lift_hom f (ϕ (root f)) (aeval_alg_hom_eq_zero f ϕ) = ϕ :=
begin
suffices : ϕ.equalizer (lift_hom f (ϕ (root f)) (aeval_alg_hom_eq_zero f ϕ)) = ⊤,
{ exact (alg_hom.ext (λ x, (set_like.ext_iff.mp (this) x).mpr algebra.mem_top)).symm },
rw [eq_top_iff, ←adjoin_root_eq_top, algebra.adjoin_le_iff, set.singleton_subset_iff],
exact (@lift_root _ _ _ _ _ _ _ (aeval_alg_hom_eq_zero f ϕ)).symm,
end
/-- If `E` is a field extension of `F` and `f` is a polynomial over `F` then the set
of maps from `F[x]/(f)` into `E` is in bijection with the set of roots of `f` in `E`. -/
def equiv (F E : Type*) [field F] [field E] [algebra F E] (f : polynomial F) (hf : f ≠ 0) :
(adjoin_root f →ₐ[F] E) ≃ {x // x ∈ (f.map (algebra_map F E)).roots} :=
{ to_fun := λ ϕ, ⟨ϕ (root f), begin
rw [mem_roots (map_ne_zero hf), is_root.def, ←eval₂_eq_eval_map],
exact aeval_alg_hom_eq_zero f ϕ,
exact field.to_nontrivial E, end⟩,
inv_fun := λ x, lift_hom f ↑x (begin
rw [aeval_def, eval₂_eq_eval_map, ←is_root.def, ←mem_roots (map_ne_zero hf)],
exact subtype.mem x,
exact field.to_nontrivial E end),
left_inv := λ ϕ, lift_hom_eq_alg_hom f ϕ,
right_inv := λ x, begin
ext,
refine @lift_root F E _ f _ _ ↑x _,
rw [eval₂_eq_eval_map, ←is_root.def, ←mem_roots (map_ne_zero hf), ←multiset.mem_to_finset],
exact multiset.mem_to_finset.mpr (subtype.mem x),
exact field.to_nontrivial E end }
end comm_ring
section irreducible
variables [field K] {f : polynomial K} [irreducible f]
instance is_maximal_span : is_maximal (span {f} : ideal (polynomial K)) :=
principal_ideal_ring.is_maximal_of_irreducible ‹irreducible f›
noncomputable instance field : field (adjoin_root f) :=
{ ..adjoin_root.comm_ring f,
..ideal.quotient.field (span {f} : ideal (polynomial K)) }
lemma coe_injective : function.injective (coe : K → adjoin_root f) :=
(of f).injective
variable (f)
lemma mul_div_root_cancel :
((X - C (root f)) * (f.map (of f) / (X - C (root f))) : polynomial (adjoin_root f)) =
f.map (of f) :=
mul_div_eq_iff_is_root.2 $ is_root_root _
end irreducible
section power_basis
variables [field K] {f : polynomial K}
lemma power_basis_is_basis (hf : f ≠ 0) : is_basis K (λ (i : fin f.nat_degree), (root f ^ i.val)) :=
begin
set f' := f * C (f.leading_coeff⁻¹) with f'_def,
have deg_f' : f'.nat_degree = f.nat_degree,
{ rw [nat_degree_mul hf, nat_degree_C, add_zero],
{ rwa [ne.def, C_eq_zero, inv_eq_zero, leading_coeff_eq_zero] } },
have f'_monic : monic f' := monic_mul_leading_coeff_inv hf,
have aeval_f' : aeval (root f) f' = 0,
{ rw [f'_def, alg_hom.map_mul, aeval_eq, mk_self, zero_mul] },
have hx : is_integral K (root f) := ⟨f', f'_monic, aeval_f'⟩,
have minpoly_eq : f' = minpoly K (root f),
{ apply minpoly.unique K _ f'_monic aeval_f',
intros q q_monic q_aeval,
have commutes : (lift (algebra_map K (adjoin_root f)) (root f) q_aeval).comp (mk q) = mk f,
{ ext,
{ simp only [ring_hom.comp_apply, mk_C, lift_of], refl },
{ simp only [ring_hom.comp_apply, mk_X, lift_root] } },
rw [degree_eq_nat_degree f'_monic.ne_zero, degree_eq_nat_degree q_monic.ne_zero,
with_bot.coe_le_coe, deg_f'],
apply nat_degree_le_of_dvd,
{ rw [←ideal.mem_span_singleton, ←ideal.quotient.eq_zero_iff_mem],
change mk f q = 0,
rw [←commutes, ring_hom.comp_apply, mk_self, ring_hom.map_zero] },
{ exact q_monic.ne_zero } },
refine ⟨_, eq_top_iff.mpr _⟩,
{ rw [←deg_f', minpoly_eq],
exact hx.linear_independent_pow },
{ rintros y -,
rw [←deg_f', minpoly_eq],
apply hx.mem_span_pow,
obtain ⟨g⟩ := y,
use g,
rw aeval_eq,
refl }
end
/-- The power basis `1, root f, ..., root f ^ (d - 1)` for `adjoin_root f`,
where `f` is an irreducible polynomial over a field of degree `d`. -/
noncomputable def power_basis (hf : f ≠ 0) :
power_basis K (adjoin_root f) :=
{ gen := root f,
dim := f.nat_degree,
is_basis := power_basis_is_basis hf }
end power_basis
end adjoin_root
|
dfc389cc914cb745f02f8a08ad1513bb586a03bf | fe84e287c662151bb313504482b218a503b972f3 | /src/group_theory/cyclic.lean | 3403f6d00b849b5535cbe6142007aa59a31d245c | [] | no_license | NeilStrickland/lean_lib | 91e163f514b829c42fe75636407138b5c75cba83 | 6a9563de93748ace509d9db4302db6cd77d8f92c | refs/heads/master | 1,653,408,198,261 | 1,652,996,419,000 | 1,652,996,419,000 | 181,006,067 | 4 | 1 | null | null | null | null | UTF-8 | Lean | false | false | 4,335 | lean | /-
Copyright (c) 2019 Neil Strickland. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Neil Strickland
We define finite cyclic groups, in multiplicative notation.
The elements of `Cₙ` are denoted by `r i` for `i : zmod n`.
We prove that an element `g ∈ G` with `gⁿ = 1` gives rise to
a homomorphism `Cₙ → G`. We also do the case n = ∞ separately.
-/
import data.fintype.basic algebra.power_mod
namespace group_theory
variables (n : ℕ) [fact (n > 0)]
@[derive decidable_eq]
inductive cyclic
| r : (zmod n) → cyclic
namespace cyclic
variable {n}
def log : cyclic n → zmod n := λ ⟨i⟩, i
def log_equiv : (cyclic n) ≃ (zmod n) :=
{ to_fun := log,
inv_fun := r,
left_inv := λ ⟨i⟩, rfl, right_inv := λ i, rfl }
instance : fintype (cyclic n) := fintype.of_equiv (zmod n) log_equiv.symm
lemma card : fintype.card (cyclic n) = n :=
by { rw [fintype.card_congr log_equiv], exact zmod.card n }
def one : cyclic n := r 0
def inv : ∀ (g : cyclic n) , cyclic n | (r i) := r (-i)
def mul : ∀ (g h : cyclic n), cyclic n | (r i) (r j) := r (i + j)
instance : has_one (cyclic n) := ⟨r 0⟩
lemma one_eq : (1 : cyclic n) = r 0 := rfl
instance : has_inv (cyclic n) := ⟨cyclic.inv⟩
lemma r_inv (i : zmod n) : (r i)⁻¹ = r (- i) := rfl
instance : has_mul (cyclic n) := ⟨cyclic.mul⟩
lemma rr_mul (i j : zmod n) : (r i) * (r j) = r (i + j) := rfl
instance : group (cyclic n) :=
{ one := 1,
mul := (*),
inv := has_inv.inv,
one_mul := λ ⟨i⟩, by rw [one_eq, rr_mul, zero_add],
mul_one := λ ⟨i⟩, by rw [one_eq, rr_mul, add_zero],
mul_left_inv := λ ⟨i⟩, by rw [r_inv, rr_mul, neg_add_self, one_eq],
mul_assoc := λ ⟨i⟩ ⟨j⟩ ⟨k⟩, by simp only [rr_mul, add_assoc] }
section hom_from_gens
variables {M : Type*} [monoid M] {g : M} (hg : g ^ (n : ℕ) = 1)
include g hg
def hom_from_gens₀ : (cyclic n) → M
| (r i) := g ^ i
def hom_from_gens : (cyclic n) →* M := {
to_fun := hom_from_gens₀ hg,
map_one' := begin
change hom_from_gens₀ hg (r 0) = 1, rw[hom_from_gens₀,pow_mod_zero]
end,
map_mul' := λ ⟨i⟩ ⟨j⟩, pow_mod_add hg i j,
}
lemma hom_from_gens_r (i : zmod n) :
hom_from_gens hg (r i) = g ^ i := rfl
end hom_from_gens
end cyclic
@[derive decidable_eq]
inductive infinite_cyclic
| r : ℤ → infinite_cyclic
namespace infinite_cyclic
def log : infinite_cyclic → ℤ := λ ⟨i⟩, i
def log_equiv : infinite_cyclic ≃ ℤ :=
{ to_fun := log,
inv_fun := r,
left_inv := λ ⟨i⟩, rfl, right_inv := λ i, rfl }
def one : infinite_cyclic := r 0
def inv : ∀ (g : infinite_cyclic) , infinite_cyclic | (r i) := r (-i)
def mul : ∀ (g h : infinite_cyclic), infinite_cyclic | (r i) (r j) := r (i + j)
instance : has_one (infinite_cyclic) := ⟨r 0⟩
lemma one_eq : (1 : infinite_cyclic) = r 0 := rfl
instance : has_inv (infinite_cyclic) := ⟨infinite_cyclic.inv⟩
lemma r_inv (i : ℤ) : (r i)⁻¹ = r (- i) := rfl
instance : has_mul (infinite_cyclic) := ⟨infinite_cyclic.mul⟩
lemma rr_mul (i j : ℤ) : (r i) * (r j) = r (i + j) := rfl
instance : group (infinite_cyclic) :=
{ one := 1,
mul := (*),
inv := has_inv.inv,
one_mul := λ ⟨i⟩, by rw [one_eq, rr_mul, zero_add],
mul_one := λ ⟨i⟩, by rw [one_eq, rr_mul, add_zero],
mul_left_inv := λ ⟨i⟩, by rw [r_inv, rr_mul, neg_add_self, one_eq],
mul_assoc := λ ⟨i⟩ ⟨j⟩ ⟨k⟩, by simp only [rr_mul, add_assoc] }
def hom_from_gens₀ {G : Type*} [group G] (g : G) : infinite_cyclic → G
| (r i) := g ^ i
def hom_from_gens {G : Type*} [group G] (g : G) : infinite_cyclic →* G := {
to_fun := hom_from_gens₀ g,
map_one' := by { rw[one_eq], exact zpow_zero g, },
map_mul' := λ ⟨i⟩ ⟨j⟩, by { rw[rr_mul], apply zpow_add g, }
}
def monoid_hom_from_gens₀ {M : Type*} [monoid M] (g : units M) : infinite_cyclic → M
| (r i) := ((g ^ i) : units M)
def monoid_hom_from_gens {M : Type*} [monoid M] (g : units M) : infinite_cyclic →* M := {
to_fun := monoid_hom_from_gens₀ g,
map_one' := by { rw[one_eq], refl, },
map_mul' := λ i j, by { rcases i, rcases j,
change
((g ^ (i + j) : units M) : M) = (g ^ i : units M) * (g ^ j : units M) ,
rw [← units.coe_mul, zpow_add]
}
}
end infinite_cyclic
end group_theory
|
a78327935279b2a2e71cb21c0077ab96d6eaf0af | 0c1546a496eccfb56620165cad015f88d56190c5 | /library/init/meta/smt/ematch.lean | 8639a64a6cf7b4ca4eb8f68c246a247f21d1d306 | [
"Apache-2.0"
] | permissive | Solertis/lean | 491e0939957486f664498fbfb02546e042699958 | 84188c5aa1673fdf37a082b2de8562dddf53df3f | refs/heads/master | 1,610,174,257,606 | 1,486,263,620,000 | 1,486,263,620,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,172 | lean | /-
Copyright (c) 2017 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import init.meta.smt.congruence_closure
import init.meta.attribute init.meta.simp_tactic
open tactic
/- Heuristic instantiation lemma -/
meta constant hinst_lemma : Type
meta constant hinst_lemmas : Type
/- (mk_core m e as_simp), m is used to decide which definitions will be unfolded in patterns.
If as_simp is tt, then this tactic will try to use the left-hand-side of the conclusion
as a pattern. -/
meta constant hinst_lemma.mk_core : transparency → expr → bool → tactic hinst_lemma
meta constant hinst_lemma.mk_from_decl_core : transparency → name → bool → tactic hinst_lemma
meta constant hinst_lemma.pp : hinst_lemma → tactic format
meta constant hinst_lemma.id : hinst_lemma → name
meta instance : has_to_tactic_format hinst_lemma :=
⟨hinst_lemma.pp⟩
meta def hinst_lemma.mk (h : expr) : tactic hinst_lemma :=
hinst_lemma.mk_core reducible h ff
meta def hinst_lemma.mk_from_decl (h : name) : tactic hinst_lemma :=
hinst_lemma.mk_from_decl_core reducible h ff
meta constant hinst_lemmas.mk : hinst_lemmas
meta constant hinst_lemmas.add : hinst_lemmas → hinst_lemma → hinst_lemmas
meta constant hinst_lemmas.fold {α : Type} : hinst_lemmas → α → (hinst_lemma → α → α) → α
meta constant hinst_lemmas.merge : hinst_lemmas → hinst_lemmas → hinst_lemmas
meta def mk_hinst_singleton : hinst_lemma → hinst_lemmas :=
hinst_lemmas.add hinst_lemmas.mk
meta def hinst_lemmas.pp (s : hinst_lemmas) : tactic format :=
let tac := s^.fold (return format.nil)
(λ h tac, do
hpp ← h^.pp,
r ← tac,
if r^.is_nil then return hpp
else return (r ++ to_fmt "," ++ format.line ++ hpp))
in do
r ← tac,
return $ format.cbrace (format.group r)
meta instance : has_to_tactic_format hinst_lemmas :=
⟨hinst_lemmas.pp⟩
open tactic
meta def to_hinst_lemmas_core (m : transparency) : bool → list name → hinst_lemmas → tactic hinst_lemmas
| as_simp [] hs := return hs
| as_simp (n::ns) hs :=
let add_core n := do
h ← hinst_lemma.mk_from_decl_core m n as_simp,
new_hs ← return $ hs^.add h,
to_hinst_lemmas_core as_simp ns new_hs
in do
/- First check if n is the name of a function with equational lemmas associated with it -/
eqns ← tactic.get_eqn_lemmas_for tt n,
match eqns with
| [] := do
/- n is not the name of a function definition or it does not have equational lemmas, then check if it is a lemma -/
add_core n
| _ := do
p ← is_prop_decl n,
if p then add_core n /- n is a proposition -/
else do
/- Add equational lemmas to resulting hinst_lemmas -/
new_hs ← to_hinst_lemmas_core tt eqns hs,
to_hinst_lemmas_core as_simp ns new_hs
end
meta def mk_hinst_lemma_attr_core (attr_name : name) (as_simp : bool) : command :=
do t ← to_expr `(caching_user_attribute hinst_lemmas),
a ← attr_name^.to_expr,
b ← if as_simp then to_expr `(tt) else to_expr `(ff),
v ← to_expr `({ name := %%a,
descr := "hinst_lemma attribute",
mk_cache := λ ns, to_hinst_lemmas_core reducible %%b ns hinst_lemmas.mk,
dependencies := [`reducibility] } : caching_user_attribute hinst_lemmas),
add_decl (declaration.defn attr_name [] t v reducibility_hints.abbrev ff),
attribute.register attr_name
meta def mk_hinst_lemma_attrs_core (as_simp : bool) : list name → command
| [] := skip
| (n::ns) :=
(mk_hinst_lemma_attr_core n as_simp >> mk_hinst_lemma_attrs_core ns)
<|>
(do type ← infer_type (expr.const n []),
expected ← to_expr `(caching_user_attribute hinst_lemmas),
(is_def_eq type expected
<|> fail ("failed to create hinst_lemma attribute '" ++ n^.to_string ++ "', declaration already exists and has different type.")),
mk_hinst_lemma_attrs_core ns)
meta def merge_hinst_lemma_attrs (m : transparency) (as_simp : bool) : list name → hinst_lemmas → tactic hinst_lemmas
| [] hs := return hs
| (attr::attrs) hs := do
ns ← attribute.get_instances attr,
new_hs ← to_hinst_lemmas_core m as_simp ns hs,
merge_hinst_lemma_attrs attrs new_hs
/--
Create a new "cached" attribute (attr_name : caching_user_attribute hinst_lemmas).
It also creates "cached" attributes for each attr_names and simp_attr_names if they have not been defined
yet. Moreover, the hinst_lemmas for attr_name will be the union of the lemmas tagged with
attr_name, attrs_name, and simp_attr_names.
For the ones in simp_attr_names, we use the left-hand-side of the conclusion as the pattern.
-/
meta def mk_hinst_lemma_attr_set (attr_name : name) (attr_names : list name) (simp_attr_names : list name) : command :=
do mk_hinst_lemma_attrs_core ff attr_names,
mk_hinst_lemma_attrs_core tt simp_attr_names,
t ← to_expr `(caching_user_attribute hinst_lemmas),
a ← attr_name^.to_expr,
l1 : expr ← list_name.to_expr attr_names,
l2 : expr ← list_name.to_expr simp_attr_names,
v ← to_expr `({ name := %%a,
descr := "hinst_lemma attribute set",
mk_cache := λ ns,
let aux1 : list name := %%l1,
aux2 : list name := %%l2 in
do {
hs₁ ← to_hinst_lemmas_core reducible ff ns hinst_lemmas.mk,
hs₂ ← merge_hinst_lemma_attrs reducible ff aux1 hs₁,
merge_hinst_lemma_attrs reducible tt aux2 hs₂},
dependencies := [`reducibility] ++ %%l1 ++ %%l2 } : caching_user_attribute hinst_lemmas),
add_decl (declaration.defn attr_name [] t v reducibility_hints.abbrev ff),
attribute.register attr_name
meta def get_hinst_lemmas_for_attr (attr_name : name) : tactic hinst_lemmas :=
do
cnst ← return (expr.const attr_name []),
attr ← eval_expr (caching_user_attribute hinst_lemmas) cnst,
caching_user_attribute.get_cache attr
structure ematch_config :=
(max_instances : nat := 10000)
(max_generation : nat := 10)
/- Ematching -/
meta constant ematch_state : Type
meta constant ematch_state.mk : ematch_config → ematch_state
meta constant ematch_state.internalize : ematch_state → expr → tactic ematch_state
namespace tactic
meta constant ematch_core : transparency → cc_state → ematch_state → hinst_lemma → expr → tactic (list (expr × expr) × cc_state × ematch_state)
meta constant ematch_all_core : transparency → cc_state → ematch_state → hinst_lemma → bool → tactic (list (expr × expr) × cc_state × ematch_state)
meta def ematch : cc_state → ematch_state → hinst_lemma → expr → tactic (list (expr × expr) × cc_state × ematch_state) :=
ematch_core reducible
meta def ematch_all : cc_state → ematch_state → hinst_lemma → bool → tactic (list (expr × expr) × cc_state × ematch_state) :=
ematch_all_core reducible
end tactic
|
f5e244d059fbde390398f761ec9d25d3ea5475b4 | 75c54c8946bb4203e0aaf196f918424a17b0de99 | /old/peano.lean | 888d1361ab68b8ce6986b081b058c041ed120df4 | [
"Apache-2.0"
] | permissive | urkud/flypitch | 261e2a45f1038130178575406df8aea78255ba77 | 2250f5eda14b6ef9fc3e4e1f4a9ac4005634de5c | refs/heads/master | 1,653,266,469,246 | 1,577,819,679,000 | 1,577,819,679,000 | 259,862,235 | 1 | 0 | Apache-2.0 | 1,588,147,244,000 | 1,588,147,244,000 | null | UTF-8 | Lean | false | false | 10,619 | lean | /-
Copyright (c) 2019 The Flypitch Project. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jesse Han, Floris van Doorn
-/
import .realization
-- local attribute [instance, priority 0] classical.prop_decidable
--local attribute [instance] classical.prop_decidable
local notation h :: t := dvector.cons h t
local notation `[]` := dvector.nil
local notation `[` l:(foldr `, ` (h t, dvector.cons h t) dvector.nil `]`) := l
namespace peano
open fol
section PA
/- The language of PA -/
inductive peano_functions : ℕ → Type -- thanks Floris!
| zero : peano_functions 0
| succ : peano_functions 1
| plus : peano_functions 2
| mult : peano_functions 2
def L_peano : Language := ⟨peano_functions, λ n, empty⟩
def L_peano_plus {n} (t₁ t₂ : bounded_term L_peano n) : bounded_term L_peano n :=
@bounded_term_of_function L_peano 2 n peano_functions.plus t₁ t₂
def L_peano_mult {n} (t₁ t₂ : bounded_term L_peano n) : bounded_term L_peano n :=
@bounded_term_of_function L_peano 2 n peano_functions.mult t₁ t₂
local infix ` +' `:100 := L_peano_plus
local infix ` ×' `:150 := L_peano_mult
def succ {n} : bounded_term L_peano n → bounded_term L_peano n :=
@bounded_term_of_function L_peano 1 n peano_functions.succ
def zero {n} : bounded_term L_peano n := bd_const peano_functions.zero
def one {n} : bounded_term L_peano n := succ zero
/- For each k : ℕ, return the bounded_term of L_peano corresponding to k-/
@[reducible]def formal_nat {n}: Π k : ℕ, bounded_term L_peano n
| 0 := zero
| (k+1) := succ $ formal_nat k
/- for all x, zero not equal to succ x -/
def p_zero_not_succ : sentence L_peano :=
∀'(zero ≃ succ &0 ⟹ ⊥)
@[reducible]def shallow_zero_not_succ : Prop :=
∀ n : ℕ, 0 = nat.succ n → false
def p_succ_inj : sentence L_peano := ∀' ∀'(succ &1 ≃ succ &0 ⟹ &1 ≃ &0)
@[reducible]def shallow_succ_inj : Prop := ∀ x, ∀ y, nat.succ x = nat.succ y → x = y
def p_zero_is_identity : sentence L_peano := ∀'(&0 +' zero ≃ &0)
@[reducible]def shallow_zero_is_identity : Prop := ∀ x : ℕ, x + 0 = x
/- ∀ x ∀ y, x + succ y = succ( x + y) -/
def p_succ_plus : sentence L_peano := ∀' ∀'(&1 +' succ &0 ≃ succ (&1 +' &0))
@[reducible]def shallow_succ_plus : Prop := ∀ x, ∀ y, x + nat.succ y = nat.succ(x + y)
/- ∀ x, x ⬝ 0 = 0 -/
def p_zero_of_times_zero : sentence L_peano := ∀'(&0 ×' zero ≃ zero)
@[reducible]def shallow_zero_of_times_zero : Prop := ∀ x : ℕ, x * 0 = 0
/- ∀ x y, (x ⬝ succ y = (x ⬝ y) + x -/
def p_times_succ : sentence L_peano := ∀' ∀' (&1 ×' succ &0 ≃ &1 ×' &0 +' &1)
@[reducible]def shallow_times_succ : Prop := ∀ x : ℕ, ∀ y : ℕ, x * (y + 1) = (x * y) + x
/- The induction schema instance at ψ is the following formula (up to the fixed ordering of variables given by the de Bruijn indexing):
letting k+1 be the number of free vars of ψ:
(k ∀'s)[(ψ(...,0) ∧ ∀' (ψ → ψ(...,S(x)))) → ∀' ψ]
-/
def p_induction_schema {n : ℕ} (ψ : bounded_formula L_peano (n+1)) : sentence L_peano :=
bd_alls n (ψ[zero/0] ⊓ ∀' (ψ ⟹ (ψ ↑' 1 # 1)[succ &0/0]) ⟹ ∀' ψ)
@[reducible]def shallow_induction_schema : Π P : set ℕ, Prop := λ P, (P(0) ∧ ∀ x, P x → P (nat.succ x)) → ∀ x, P x
/- The theory of Peano arithmetic -/
def PA : Theory L_peano :=
{p_zero_not_succ, p_succ_inj, p_zero_is_identity, p_succ_plus, p_zero_of_times_zero, p_times_succ} ∪ ⋃ (n : ℕ), (λ(ψ : bounded_formula L_peano (n+1)), p_induction_schema ψ) '' set.univ
@[reducible]def shallow_PA : set Prop :=
{shallow_zero_not_succ, shallow_succ_inj, shallow_zero_is_identity, shallow_succ_plus, shallow_zero_of_times_zero, shallow_times_succ} ∪ (shallow_induction_schema '' (set.univ))
def is_even : bounded_formula L_peano 1 :=
∃' (&0 +' &0 ≃ &1)
def L_peano_structure_of_nat : Structure L_peano :=
begin
refine ⟨ℕ, _, _⟩,
{intros n F, induction F, exact λv, 0,
{intro v, cases v, exact nat.succ v_x},
{intro v, cases v, exact v_x + (v_xs.nth 0 $ by constructor)},
{intro v, cases v, exact v_x * (v_xs.nth 0 $ by constructor)},},
{intro v, intro R, cases R},
end
local notation `ℕ'` := L_peano_structure_of_nat
@[simp]lemma floris {L} {S : Structure L} : ↥S = S.carrier := by refl
example : ℕ' ⊨ p_zero_not_succ := begin
change ∀ x : ℕ', 0 = nat.succ x → false, intros x h, cases h end
@[simp]lemma zero_is_zero : @realize_bounded_term L_peano ℕ' 0 [] 0 zero [] = nat.zero := by refl
@[simp]lemma one_is_one : @realize_bounded_term L_peano ℕ' 0 [] 0 one [] = (nat.succ nat.zero) := by refl
instance has_zero_sort_L_peano_structure_of_nat : has_zero ℕ' := ⟨nat.zero⟩
instance has_zero_L_peano_structure_of_nat : has_zero L_peano_structure_of_nat := ⟨nat.zero⟩
@[simp]lemma formal_nat_realize_term {n} : realize_closed_term ℕ' (formal_nat n) = n :=
by {induction n, refl, tidy}
@[simp] lemma succ_realize_term {n} : realize_closed_term ℕ' (succ $ formal_nat n) = nat.succ n :=
begin
dsimp[realize_closed_term, realize_bounded_term, succ, bounded_term_of_function],
induction n, tidy
end
@[simp]lemma formal_nat_realize_formula {ψ : bounded_formula L_peano 1} (n) : realize_bounded_formula ([(n : ℕ')]) ψ [] ↔ ℕ' ⊨ ψ[(formal_nat n)/0] :=
begin
induction n, all_goals{dsimp[formal_nat], simp[realize_subst_formula0]},
have := @formal_nat_realize_term 0, unfold formal_nat at this, rw[this]
end
@[simp]lemma nat_bd_all {ψ : bounded_formula L_peano 1} : ℕ' ⊨ ∀'ψ ↔ ∀(n : ℕ'), ℕ' ⊨ ψ[(formal_nat n)/0] :=
begin
refine ⟨by {intros H n, induction n, all_goals{dsimp[formal_nat], rw[realize_subst_formula0], tidy}}, _⟩,
intros H n, have := H n, induction n, all_goals{simp only [formal_nat_realize_formula], exact this}
end
lemma shallow_induction (P : set nat) : (P(0) ∧ ∀ x, P x → P (nat.succ x)) → ∀ x, P x :=
λ h, nat.rec h.1 h.2
section notation_test
-- #reduce (ℕ')[(@zero 0) /// [] ]
-- #reduce (L_peano_structure_of_nat)[(p_zero_not_succ)]
-- #reduce (L_peano_structure_of_nat)[(&0 ≃ zero : bounded_formula L_peano 1) ;; ([(1 : ℕ)] : dvector (ℕ') 1)]
-- #reduce (&0 : bounded_term L_peano 1)[zero // 0] -- elaborator fails, don't know why
-- need to fix subst_bounded_term notation, something's not type-checking
end notation_test
-- @[simp]lemma subst0_subst0 {L} {n} {f : bounded_formula L (n+1)} {s₁} {s₂} : (f ↑' 1 # 1)[s₁ /0][s₂ /0] = f[s₁[s₂ /0] /0] := sorry -- this probably isn't true with careful lifting
-- @[simp]lemma subst_succ_is_apply {n} {k} : (succ &0)[formal_nat n /0] = @formal_nat k (nat.succ n) :=
-- begin
-- induction n, refl, symmetry, dsimp[formal_nat] at *, rw[<-n_ih],
-- unfold succ bounded_term_of_function formal_nat, tidy, induction n_n, tidy
-- end
-- @[simp]lemma subst_term'_cancel {n} {k} : Π ψ : bounded_formula L_peano (k + 1), (ψ ↑' 1 # 1)[succ &0 /0][formal_nat n /0] = ψ[formal_nat (nat.succ n) /0] := by simp
-- begin
-- -- intros n ψ, unfold subst0_bounded_formula, tidy, -- simp[lift_subst_formula_cancel ψ.fst 0],
-- -- sorry -- looks like here we need a lemma that generalizes lift_subst_formula_cancel to substitutions of terms, or something
-- end
---- oops, i think this is already somewhere in fol.lean
-- /-- Canonical extension of a dvector to a valuation --/
-- def val_of_dvector {α : Type*} [has_zero α] {n} (xs : dvector α n): ℕ' → α :=
-- begin
-- intro k,
-- by_cases nat.lt k n,
-- exact xs.nth k h,
-- exact 0
-- end
/-- Given a term t with ≤ n free variables, the realization of t only depends on the nth initial segment of the realizing dvector v. --/
-- lemma realize_closed_term_realize_irrel {L} {S : Structure L} {n n' : nat} {h : n' ≤ n} {t : bounded_term L n'} {v : dvector S n} : realize_bounded_term (dvector.trunc h v) t [] = realize_bounded_term v (t.cast h) [] :=
-- begin
-- revert t, apply bounded_term.rec, {intro k, induction k, induction v, have : n' = 0, by {apply nat.eq_zero_of_le_zero, exact h}, subst this, {tidy}, sorry},
-- tidy, sorry
-- end
-- lemma realize_closed_term_realizer_irrel {L} {S : Structure L} {n} {n'} {h : n' ≤ n} {t : bounded_term L n'} {v : dvector S n} : realize_bounded_term (@dvector.trunc n' n h xs) (t.cast (by simp)) [] = realize_bounded_term [] t [] :=
-- begin
-- induction n,
-- {cases v, revert t, },
-- {sorry},
-- end
-- lemma realize_bounded_formula_subst0_gen {L} {S : Structure L} {n l} (f : bounded_preformula L (n+1) l) {v : dvector S n} {xs : dvector S l} (t : bounded_term L n) : realize_bounded_formula v (f[(t.cast (by refl)) /0]) xs ↔ realize_bounded_formula ((realize_bounded_term v t [])::v) f xs :=
-- begin
-- sorry
-- end
-- realization of a substitution of a bounded_term (n' + 1) at n in a bounded_formula (n'' + 1), where n + n' = n'', is the same as realization (insert S[t])
-- lemma asjh {L} {S : Structure L} {n n' n''} {h : n + (n') + 1 = n'' + 1} {t : bounded_term L (n')} {f : bounded_formula L (n''+1)} {v : dvector S (n + n' + 1)} :
-- @realize_bounded_formula L S n 0 v (@subst_bounded_formula L n (n' + 1) (n'' + 1) 0 f t (by assumption) = @realize_bounded_formula L S (n+1) 0 (dvector.insert (realize_bounded_term begin end t)) sorry) sorry := sorry
/- ℕ' satisfies PA induction schema -/
theorem PA_standard_model_induction {index : nat} {ψ : bounded_formula L_peano (index + 1)} :
ℕ' ⊨ bd_alls index (ψ[zero /0] ⊓ ∀'(ψ ⟹ (ψ ↑' 1 # 1)[succ &0 /0]) ⟹ ∀' ψ) :=
begin
rw[realize_sentence_bd_alls], intro xs,
simp,
intros H_zero H_ih, apply nat.rec,
{apply (realize_bounded_formula_subst0 ψ zero).mp, apply H_zero},
{intros n H, apply (@realize_bounded_formula_subst0' _ _ _ ψ xs (succ &0) n).mp,
exact H_ih n H}
end
def true_arithmetic := Th ℕ'
lemma true_arithmetic_extends_PA : PA ⊆ true_arithmetic :=
begin
intros f hf, cases hf with not_induct induct,
swap,
{rcases induct with ⟨induction_schemas, ⟨⟨index, h_eq⟩, ih_right⟩⟩,
rw [←h_eq] at ih_right, simp[set.range, set.image] at ih_right,
rcases ih_right with ⟨ψ, h_ψ⟩, subst h_ψ, apply PA_standard_model_induction},
{repeat{cases not_induct}, tidy, contradiction}
end
lemma shallow_standard_model : ∀ ψ ∈ shallow_PA, ψ :=
begin
intros x H, cases H,
{repeat{cases H}, tidy, contradiction},
{simp[shallow_induction_schema] at H, rcases H with ⟨y, Hy⟩, subst Hy, exact nat.rec}
end
def PA_standard_model : Model PA := ⟨ℕ', true_arithmetic_extends_PA⟩
end PA
end peano
|
3185b6fde7f1f6ee4e486537e4218f2a96515fec | 9dd3f3912f7321eb58ee9aa8f21778ad6221f87c | /tests/lean/run/period_after_eqns.lean | 921bb5753fcee7d7fc66037ab0efc08d10b78fac | [
"Apache-2.0"
] | permissive | bre7k30/lean | de893411bcfa7b3c5572e61b9e1c52951b310aa4 | 5a924699d076dab1bd5af23a8f910b433e598d7a | refs/heads/master | 1,610,900,145,817 | 1,488,006,845,000 | 1,488,006,845,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 54 | lean | def f : nat → nat
| 0 := 1
| (a+1) := 1
.
check 10
|
ced3bba2de990a63e692e372bc787ea989010f9d | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/category_theory/category/Kleisli.lean | 2c5d47ad9e81c187ac5e1caab5412e03fef97000 | [
"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 | 1,737 | 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 category_theory.category.basic
/-!
# The Kleisli construction on the Type category
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
Define the Kleisli category for (control) monads.
`category_theory/monad/kleisli` defines the general version for a monad on `C`, and demonstrates
the equivalence between the two.
## TODO
Generalise this to work with category_theory.monad
-/
universes u v
namespace category_theory
/-- The Kleisli category on the (type-)monad `m`. Note that the monad is not assumed to be lawful
yet. -/
@[nolint unused_arguments]
def Kleisli (m : Type u → Type v) := Type u
/-- Construct an object of the Kleisli category from a type. -/
def Kleisli.mk (m) (α : Type u) : Kleisli m := α
instance Kleisli.category_struct {m} [monad.{u v} m] : category_struct (Kleisli m) :=
{ hom := λ α β, α → m β,
id := λ α x, pure x,
comp := λ X Y Z f g, f >=> g }
instance Kleisli.category {m} [monad.{u v} m] [is_lawful_monad m] : category (Kleisli m) :=
by refine { id_comp' := _, comp_id' := _, assoc' := _ };
intros; ext; unfold_projs; simp only [(>=>)] with functor_norm
@[simp] lemma Kleisli.id_def {m} [monad m] (α : Kleisli m) :
𝟙 α = @pure m _ α := rfl
lemma Kleisli.comp_def {m} [monad m] (α β γ : Kleisli m)
(xs : α ⟶ β) (ys : β ⟶ γ) (a : α) :
(xs ≫ ys) a = xs a >>= ys := rfl
instance : inhabited (Kleisli id) := ⟨punit⟩
instance {α : Type u} [inhabited α] : inhabited (Kleisli.mk id α) := ⟨show α, from default⟩
end category_theory
|
53d1c0f0bc41dba3eab0d3bcf609f3efe6629b3a | 649957717d58c43b5d8d200da34bf374293fe739 | /src/algebra/group/with_one.lean | 59c550cdf356d4a5aa786e1af95078b7b795640b | [
"Apache-2.0"
] | permissive | Vtec234/mathlib | b50c7b21edea438df7497e5ed6a45f61527f0370 | fb1848bbbfce46152f58e219dc0712f3289d2b20 | refs/heads/master | 1,592,463,095,113 | 1,562,737,749,000 | 1,562,737,749,000 | 196,202,858 | 0 | 0 | Apache-2.0 | 1,562,762,338,000 | 1,562,762,337,000 | null | UTF-8 | Lean | false | false | 7,196 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Johan Commelin
Various multiplicative and additive structures.
-/
import algebra.group.to_additive algebra.group.basic
universe u
variable {α : Type u}
@[to_additive with_zero]
def with_one (α) := option α
@[to_additive with_zero.monad]
instance : monad with_one := option.monad
@[to_additive with_zero.has_zero]
instance : has_one (with_one α) := ⟨none⟩
@[to_additive with_zero.has_coe_t]
instance : has_coe_t α (with_one α) := ⟨some⟩
@[simp, to_additive with_zero.zero_ne_coe]
lemma with_one.one_ne_coe {a : α} : (1 : with_one α) ≠ a :=
λ h, option.no_confusion h
@[simp, to_additive with_zero.coe_ne_zero]
lemma with_one.coe_ne_one {a : α} : (a : with_one α) ≠ (1 : with_one α) :=
λ h, option.no_confusion h
@[to_additive with_zero.ne_zero_iff_exists]
lemma with_one.ne_one_iff_exists : ∀ {x : with_one α}, x ≠ 1 ↔ ∃ (a : α), x = a
| 1 := ⟨λ h, false.elim $ h rfl, by { rintros ⟨a,ha⟩ h, simpa using h }⟩
| (a : α) := ⟨λ h, ⟨a, rfl⟩, λ h, with_one.coe_ne_one⟩
@[to_additive with_zero.coe_inj]
lemma with_one.coe_inj {a b : α} : (a : with_one α) = b ↔ a = b :=
option.some_inj
@[elab_as_eliminator, to_additive with_zero.cases_on]
protected lemma with_one.cases_on (P : with_one α → Prop) :
∀ (x : with_one α), P 1 → (∀ a : α, P a) → P x :=
option.cases_on
attribute [to_additive with_zero.has_zero.equations._eqn_1] with_one.has_one.equations._eqn_1
@[to_additive with_zero.has_add]
instance [has_mul α] : has_mul (with_one α) :=
{ mul := option.lift_or_get (*) }
@[simp, to_additive with_zero.add_coe]
lemma with_one.mul_coe [has_mul α] (a b : α) : (a : with_one α) * b = (a * b : α) := rfl
attribute [to_additive with_zero.has_add.equations._eqn_1] with_one.has_mul.equations._eqn_1
instance [semigroup α] : monoid (with_one α) :=
{ mul_assoc := (option.lift_or_get_assoc _).1,
one_mul := (option.lift_or_get_is_left_id _).1,
mul_one := (option.lift_or_get_is_right_id _).1,
..with_one.has_one,
..with_one.has_mul }
attribute [to_additive with_zero.add_monoid._proof_1] with_one.monoid._proof_1
attribute [to_additive with_zero.add_monoid._proof_2] with_one.monoid._proof_2
attribute [to_additive with_zero.add_monoid._proof_3] with_one.monoid._proof_3
attribute [to_additive with_zero.add_monoid] with_one.monoid
attribute [to_additive with_zero.add_monoid.equations._eqn_1] with_one.monoid.equations._eqn_1
instance [comm_semigroup α] : comm_monoid (with_one α) :=
{ mul_comm := (option.lift_or_get_comm _).1,
..with_one.monoid }
instance [add_comm_semigroup α] : add_comm_monoid (with_zero α) :=
{ add_comm := (option.lift_or_get_comm _).1,
..with_zero.add_monoid }
attribute [to_additive with_zero.add_comm_monoid] with_one.comm_monoid
namespace with_zero
instance [one : has_one α] : has_one (with_zero α) :=
{ ..one }
instance [has_one α] : zero_ne_one_class (with_zero α) :=
{ zero_ne_one := λ h, option.no_confusion h,
..with_zero.has_zero,
..with_zero.has_one }
lemma coe_one [has_one α] : ((1 : α) : with_zero α) = 1 := rfl
instance [has_mul α] : mul_zero_class (with_zero α) :=
{ mul := λ o₁ o₂, o₁.bind (λ a, o₂.map (λ b, a * b)),
zero_mul := λ a, rfl,
mul_zero := λ a, by cases a; refl,
..with_zero.has_zero }
@[simp] lemma mul_coe [has_mul α] (a b : α) :
(a : with_zero α) * b = (a * b : α) := rfl
instance [semigroup α] : semigroup (with_zero α) :=
{ mul_assoc := λ a b c, match a, b, c with
| none, _, _ := rfl
| some a, none, _ := rfl
| some a, some b, none := rfl
| some a, some b, some c := congr_arg some (mul_assoc _ _ _)
end,
..with_zero.mul_zero_class }
instance [comm_semigroup α] : comm_semigroup (with_zero α) :=
{ mul_comm := λ a b, match a, b with
| none, _ := (mul_zero _).symm
| some a, none := rfl
| some a, some b := congr_arg some (mul_comm _ _)
end,
..with_zero.semigroup }
instance [monoid α] : monoid (with_zero α) :=
{ one_mul := λ a, match a with
| none := rfl
| some a := congr_arg some $ one_mul _
end,
mul_one := λ a, match a with
| none := rfl
| some a := congr_arg some $ mul_one _
end,
..with_zero.zero_ne_one_class,
..with_zero.semigroup }
instance [comm_monoid α] : comm_monoid (with_zero α) :=
{ ..with_zero.monoid, ..with_zero.comm_semigroup }
definition inv [has_inv α] (x : with_zero α) : with_zero α :=
do a ← x, return a⁻¹
instance [has_inv α] : has_inv (with_zero α) := ⟨with_zero.inv⟩
@[simp] lemma inv_coe [has_inv α] (a : α) :
(a : with_zero α)⁻¹ = (a⁻¹ : α) := rfl
@[simp] lemma inv_zero [has_inv α] :
(0 : with_zero α)⁻¹ = 0 := rfl
section group
variables [group α]
@[simp] lemma inv_one : (1 : with_zero α)⁻¹ = 1 :=
show ((1⁻¹ : α) : with_zero α) = 1, by simp [coe_one]
definition with_zero.div (x y : with_zero α) : with_zero α :=
x * y⁻¹
instance : has_div (with_zero α) := ⟨with_zero.div⟩
@[simp] lemma zero_div (a : with_zero α) : 0 / a = 0 := rfl
@[simp] lemma div_zero (a : with_zero α) : a / 0 = 0 := by change a * _ = _; simp
lemma div_coe (a b : α) : (a : with_zero α) / b = (a * b⁻¹ : α) := rfl
lemma one_div (x : with_zero α) : 1 / x = x⁻¹ := one_mul _
@[simp] lemma div_one : ∀ (x : with_zero α), x / 1 = x
| 0 := rfl
| (a : α) := show _ * _ = _, by simp
@[simp] lemma mul_right_inv : ∀ (x : with_zero α) (h : x ≠ 0), x * x⁻¹ = 1
| 0 h := false.elim $ h rfl
| (a : α) h := by simp [coe_one]
@[simp] lemma mul_left_inv : ∀ (x : with_zero α) (h : x ≠ 0), x⁻¹ * x = 1
| 0 h := false.elim $ h rfl
| (a : α) h := by simp [coe_one]
@[simp] lemma mul_inv_rev : ∀ (x y : with_zero α), (x * y)⁻¹ = y⁻¹ * x⁻¹
| 0 0 := rfl
| 0 (b : α) := rfl
| (a : α) 0 := rfl
| (a : α) (b : α) := by simp
@[simp] lemma mul_div_cancel {a b : with_zero α} (hb : b ≠ 0) : a * b / b = a :=
show _ * _ * _ = _, by simp [mul_assoc, hb]
@[simp] lemma div_mul_cancel {a b : with_zero α} (hb : b ≠ 0) : a / b * b = a :=
show _ * _ * _ = _, by simp [mul_assoc, hb]
lemma div_eq_iff_mul_eq {a b c : with_zero α} (hb : b ≠ 0) : a / b = c ↔ c * b = a :=
by split; intro h; simp [h.symm, hb]
end group
section comm_group
variables [comm_group α] {a b c d : with_zero α}
lemma div_eq_div (hb : b ≠ 0) (hd : d ≠ 0) : a / b = c / d ↔ a * d = b * c :=
begin
rw ne_zero_iff_exists at hb hd,
rcases hb with ⟨b, rfl⟩,
rcases hd with ⟨d, rfl⟩,
induction a using with_zero.cases_on;
induction c using with_zero.cases_on,
{ refl },
{ simp [div_coe] },
{ simp [div_coe] },
erw [with_zero.coe_inj, with_zero.coe_inj],
show a * b⁻¹ = c * d⁻¹ ↔ a * d = b * c,
split; intro H,
{ rw mul_inv_eq_iff_eq_mul at H,
rw [H, mul_right_comm, inv_mul_cancel_right, mul_comm] },
{ rw [mul_inv_eq_iff_eq_mul, mul_right_comm, mul_comm c, ← H, mul_inv_cancel_right] }
end
end comm_group
end with_zero
|
68fdb024e801b375ff77c0b96ed38e505857ea39 | 137c667471a40116a7afd7261f030b30180468c2 | /src/data/set/finite.lean | 32634cbe6066c3473b7ef159ecf227eeecba7a0f | [
"Apache-2.0"
] | permissive | bragadeesh153/mathlib | 46bf814cfb1eecb34b5d1549b9117dc60f657792 | b577bb2cd1f96eb47031878256856020b76f73cd | refs/heads/master | 1,687,435,188,334 | 1,626,384,207,000 | 1,626,384,207,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 34,588 | 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 data.finset.sort
/-!
# Finite sets
This file defines predicates `finite : set α → Prop` and `infinite : set α → Prop` and proves some
basic facts about finite sets.
-/
open set function
universes u v w x
variables {α : Type u} {β : Type v} {ι : Sort w} {γ : Type x}
namespace set
/-- A set is finite if the subtype is a fintype, i.e. there is a
list that enumerates its members. -/
def finite (s : set α) : Prop := nonempty (fintype s)
/-- A set is infinite if it is not finite. -/
def infinite (s : set α) : Prop := ¬ finite s
/-- The subtype corresponding to a finite set is a finite type. Note
that because `finite` isn't a typeclass, this will not fire if it
is made into an instance -/
noncomputable def finite.fintype {s : set α} (h : finite s) : fintype s :=
classical.choice h
/-- Get a finset from a finite set -/
noncomputable def finite.to_finset {s : set α} (h : finite s) : finset α :=
@set.to_finset _ _ h.fintype
@[simp] theorem finite.mem_to_finset {s : set α} (h : finite s) {a : α} : a ∈ h.to_finset ↔ a ∈ s :=
@mem_to_finset _ _ h.fintype _
@[simp] theorem finite.to_finset.nonempty {s : set α} (h : finite s) :
h.to_finset.nonempty ↔ s.nonempty :=
show (∃ x, x ∈ h.to_finset) ↔ (∃ x, x ∈ s),
from exists_congr (λ _, h.mem_to_finset)
@[simp] lemma finite.coe_to_finset {s : set α} (h : finite s) : ↑h.to_finset = s :=
@set.coe_to_finset _ s h.fintype
@[simp] lemma finite.coe_sort_to_finset {s : set α} (h : finite s) :
(h.to_finset : Type*) = s :=
by rw [← finset.coe_sort_coe _, h.coe_to_finset]
@[simp] lemma finite_empty_to_finset (h : finite (∅ : set α)) : h.to_finset = ∅ :=
by rw [← finset.coe_inj, h.coe_to_finset, finset.coe_empty]
@[simp] lemma finite.to_finset_inj {s t : set α} {hs : finite s} {ht : finite t} :
hs.to_finset = ht.to_finset ↔ s = t :=
by simp [←finset.coe_inj]
@[simp] lemma finite_to_finset_eq_empty_iff {s : set α} {h : finite s} :
h.to_finset = ∅ ↔ s = ∅ :=
by simp [←finset.coe_inj]
theorem finite.exists_finset {s : set α} : finite s →
∃ s' : finset α, ∀ a : α, a ∈ s' ↔ a ∈ s
| ⟨h⟩ := by exactI ⟨to_finset s, λ _, mem_to_finset⟩
theorem finite.exists_finset_coe {s : set α} (hs : finite s) :
∃ s' : finset α, ↑s' = s :=
⟨hs.to_finset, hs.coe_to_finset⟩
/-- Finite sets can be lifted to finsets. -/
instance : can_lift (set α) (finset α) :=
{ coe := coe,
cond := finite,
prf := λ s hs, hs.exists_finset_coe }
theorem finite_mem_finset (s : finset α) : finite {a | a ∈ s} :=
⟨fintype.of_finset s (λ _, iff.rfl)⟩
theorem finite.of_fintype [fintype α] (s : set α) : finite s :=
by classical; exact ⟨set_fintype s⟩
theorem exists_finite_iff_finset {p : set α → Prop} :
(∃ s, finite s ∧ p s) ↔ ∃ s : finset α, p ↑s :=
⟨λ ⟨s, hs, hps⟩, ⟨hs.to_finset, hs.coe_to_finset.symm ▸ hps⟩,
λ ⟨s, hs⟩, ⟨↑s, finite_mem_finset s, hs⟩⟩
lemma finite.fin_embedding {s : set α} (h : finite s) : ∃ (n : ℕ) (f : fin n ↪ α), range f = s :=
⟨_, (fintype.equiv_fin (h.to_finset : set α)).symm.as_embedding, by simp⟩
lemma finite.fin_param {s : set α} (h : finite s) :
∃ (n : ℕ) (f : fin n → α), injective f ∧ range f = s :=
let ⟨n, f, hf⟩ := h.fin_embedding in ⟨n, f, f.injective, hf⟩
/-- Membership of a subset of a finite type is decidable.
Using this as an instance leads to potential loops with `subtype.fintype` under certain decidability
assumptions, so it should only be declared a local instance. -/
def decidable_mem_of_fintype [decidable_eq α] (s : set α) [fintype s] (a) : decidable (a ∈ s) :=
decidable_of_iff _ mem_to_finset
instance fintype_empty : fintype (∅ : set α) :=
fintype.of_finset ∅ $ by simp
theorem empty_card : fintype.card (∅ : set α) = 0 := rfl
@[simp] theorem empty_card' {h : fintype.{u} (∅ : set α)} :
@fintype.card (∅ : set α) h = 0 :=
eq.trans (by congr) empty_card
@[simp] theorem finite_empty : @finite α ∅ := ⟨set.fintype_empty⟩
instance finite.inhabited : inhabited {s : set α // finite s} := ⟨⟨∅, finite_empty⟩⟩
/-- A `fintype` structure on `insert a s`. -/
def fintype_insert' {a : α} (s : set α) [fintype s] (h : a ∉ s) : fintype (insert a s : set α) :=
fintype.of_finset ⟨a ::ₘ s.to_finset.1,
multiset.nodup_cons_of_nodup (by simp [h]) s.to_finset.2⟩ $ by simp
theorem card_fintype_insert' {a : α} (s : set α) [fintype s] (h : a ∉ s) :
@fintype.card _ (fintype_insert' s h) = fintype.card s + 1 :=
by rw [fintype_insert', fintype.card_of_finset];
simp [finset.card, to_finset]; refl
@[simp] theorem card_insert {a : α} (s : set α)
[fintype s] (h : a ∉ s) {d : fintype.{u} (insert a s : set α)} :
@fintype.card _ d = fintype.card s + 1 :=
by rw ← card_fintype_insert' s h; congr
lemma card_image_of_inj_on {s : set α} [fintype s]
{f : α → β} [fintype (f '' s)] (H : ∀x∈s, ∀y∈s, f x = f y → x = y) :
fintype.card (f '' s) = fintype.card s :=
by haveI := classical.prop_decidable; exact
calc fintype.card (f '' s) = (s.to_finset.image f).card : fintype.card_of_finset' _ (by simp)
... = s.to_finset.card : finset.card_image_of_inj_on
(λ x hx y hy hxy, H x (mem_to_finset.1 hx) y (mem_to_finset.1 hy) hxy)
... = fintype.card s : (fintype.card_of_finset' _ (λ a, mem_to_finset)).symm
lemma card_image_of_injective (s : set α) [fintype s]
{f : α → β} [fintype (f '' s)] (H : function.injective f) :
fintype.card (f '' s) = fintype.card s :=
card_image_of_inj_on $ λ _ _ _ _ h, H h
section
local attribute [instance] decidable_mem_of_fintype
instance fintype_insert [decidable_eq α] (a : α) (s : set α) [fintype s] :
fintype (insert a s : set α) :=
if h : a ∈ s then by rwa [insert_eq, union_eq_self_of_subset_left (singleton_subset_iff.2 h)]
else fintype_insert' _ h
end
@[simp] theorem finite.insert (a : α) {s : set α} : finite s → finite (insert a s)
| ⟨h⟩ := ⟨@set.fintype_insert _ (classical.dec_eq α) _ _ h⟩
lemma to_finset_insert [decidable_eq α] {a : α} {s : set α} (hs : finite s) :
(hs.insert a).to_finset = insert a hs.to_finset :=
finset.ext $ by simp
@[simp] lemma insert_to_finset [decidable_eq α] {a : α} {s : set α} [fintype s] :
(insert a s).to_finset = insert a s.to_finset :=
by simp [finset.ext_iff, mem_insert_iff]
@[elab_as_eliminator]
theorem finite.induction_on {C : set α → Prop} {s : set α} (h : finite s)
(H0 : C ∅) (H1 : ∀ {a s}, a ∉ s → finite s → C s → C (insert a s)) : C s :=
let ⟨t⟩ := h in by exactI
match s.to_finset, @mem_to_finset _ s _ with
| ⟨l, nd⟩, al := begin
change ∀ a, a ∈ l ↔ a ∈ s at al,
clear _let_match _match t h, revert s nd al,
refine multiset.induction_on l _ (λ a l IH, _); intros s nd al,
{ rw show s = ∅, from eq_empty_iff_forall_not_mem.2 (by simpa using al),
exact H0 },
{ rw ← show insert a {x | x ∈ l} = s, from set.ext (by simpa using al),
cases multiset.nodup_cons.1 nd with m nd',
refine H1 _ ⟨finset.subtype.fintype ⟨l, nd'⟩⟩ (IH nd' (λ _, iff.rfl)),
exact m }
end
end
@[elab_as_eliminator]
theorem finite.dinduction_on {C : ∀s:set α, finite s → Prop} {s : set α} (h : finite s)
(H0 : C ∅ finite_empty)
(H1 : ∀ {a s}, a ∉ s → ∀h:finite s, C s h → C (insert a s) (h.insert a)) :
C s h :=
have ∀h:finite s, C s h,
from finite.induction_on h (assume h, H0) (assume a s has hs ih h, H1 has hs (ih _)),
this h
instance fintype_singleton (a : α) : fintype ({a} : set α) :=
unique.fintype
@[simp] theorem card_singleton (a : α) :
fintype.card ({a} : set α) = 1 :=
fintype.card_of_subsingleton _
@[simp] theorem finite_singleton (a : α) : finite ({a} : set α) :=
⟨set.fintype_singleton _⟩
lemma subsingleton.finite {s : set α} (h : s.subsingleton) : finite s :=
h.induction_on finite_empty finite_singleton
instance fintype_pure : ∀ a : α, fintype (pure a : set α) :=
set.fintype_singleton
theorem finite_pure (a : α) : finite (pure a : set α) :=
⟨set.fintype_pure a⟩
instance fintype_univ [fintype α] : fintype (@univ α) :=
fintype.of_equiv α $ (equiv.set.univ α).symm
theorem finite_univ [fintype α] : finite (@univ α) := ⟨set.fintype_univ⟩
/-- If `(set.univ : set α)` is finite then `α` is a finite type. -/
noncomputable def fintype_of_univ_finite (H : (univ : set α).finite ) :
fintype α :=
@fintype.of_equiv _ (univ : set α) H.fintype (equiv.set.univ _)
lemma univ_finite_iff_nonempty_fintype :
(univ : set α).finite ↔ nonempty (fintype α) :=
begin
split,
{ intro h, exact ⟨fintype_of_univ_finite h⟩ },
{ rintro ⟨_i⟩, exactI finite_univ }
end
theorem infinite_univ_iff : (@univ α).infinite ↔ _root_.infinite α :=
⟨λ h₁, ⟨λ h₂, h₁ $ @finite_univ α h₂⟩, λ ⟨h₁⟩ h₂, h₁ (fintype_of_univ_finite h₂)⟩
theorem infinite_univ [h : _root_.infinite α] : infinite (@univ α) :=
infinite_univ_iff.2 h
theorem infinite_coe_iff {s : set α} : _root_.infinite s ↔ infinite s :=
⟨λ ⟨h₁⟩ h₂, h₁ h₂.some, λ h₁, ⟨λ h₂, h₁ ⟨h₂⟩⟩⟩
theorem infinite.to_subtype {s : set α} (h : infinite s) : _root_.infinite s :=
infinite_coe_iff.2 h
/-- Embedding of `ℕ` into an infinite set. -/
noncomputable def infinite.nat_embedding (s : set α) (h : infinite s) : ℕ ↪ s :=
by { haveI := h.to_subtype, exact infinite.nat_embedding s }
lemma infinite.exists_subset_card_eq {s : set α} (hs : infinite s) (n : ℕ) :
∃ t : finset α, ↑t ⊆ s ∧ t.card = n :=
⟨((finset.range n).map (hs.nat_embedding _)).map (embedding.subtype _), by simp⟩
lemma infinite.nonempty {s : set α} (h : s.infinite) : s.nonempty :=
let a := infinite.nat_embedding s h 37 in ⟨a.1, a.2⟩
instance fintype_union [decidable_eq α] (s t : set α) [fintype s] [fintype t] :
fintype (s ∪ t : set α) :=
fintype.of_finset (s.to_finset ∪ t.to_finset) $ by simp
theorem finite.union {s t : set α} : finite s → finite t → finite (s ∪ t)
| ⟨hs⟩ ⟨ht⟩ := ⟨@set.fintype_union _ (classical.dec_eq α) _ _ hs ht⟩
lemma finite.sup {s t : set α} : finite s → finite t → finite (s ⊔ t) := finite.union
lemma infinite_of_finite_compl {α : Type} [_root_.infinite α] {s : set α}
(hs : sᶜ.finite) : s.infinite :=
λ h, set.infinite_univ (by simpa using hs.union h)
lemma finite.infinite_compl {α : Type} [_root_.infinite α] {s : set α}
(hs : s.finite) : sᶜ.infinite :=
λ h, set.infinite_univ (by simpa using hs.union h)
instance fintype_sep (s : set α) (p : α → Prop) [fintype s] [decidable_pred p] :
fintype ({a ∈ s | p a} : set α) :=
fintype.of_finset (s.to_finset.filter p) $ by simp
instance fintype_inter (s t : set α) [fintype s] [decidable_pred (∈ t)] : fintype (s ∩ t : set α) :=
set.fintype_sep s t
/-- A `fintype` structure on a set defines a `fintype` structure on its subset. -/
def fintype_subset (s : set α) {t : set α} [fintype s] [decidable_pred (∈ t)] (h : t ⊆ s) :
fintype t :=
by rw ← inter_eq_self_of_subset_right h; apply_instance
theorem finite.subset {s : set α} : finite s → ∀ {t : set α}, t ⊆ s → finite t
| ⟨hs⟩ t h := ⟨@set.fintype_subset _ _ _ hs (classical.dec_pred t) h⟩
lemma finite.union_iff {s t : set α} : finite (s ∪ t) ↔ finite s ∧ finite t :=
⟨λ h, ⟨h.subset (subset_union_left _ _), h.subset (subset_union_right _ _)⟩,
λ ⟨hs, ht⟩, hs.union ht⟩
lemma finite.diff {s t u : set α} (hs : s.finite) (ht : t.finite) (h : u \ t ≤ s) : u.finite :=
begin
refine finite.subset (ht.union hs) _,
exact diff_subset_iff.mp h
end
theorem finite.inter_of_left {s : set α} (h : finite s) (t : set α) : finite (s ∩ t) :=
h.subset (inter_subset_left _ _)
theorem finite.inter_of_right {s : set α} (h : finite s) (t : set α) : finite (t ∩ s) :=
h.subset (inter_subset_right _ _)
theorem finite.inf_of_left {s : set α} (h : finite s) (t : set α) : finite (s ⊓ t) :=
h.inter_of_left t
theorem finite.inf_of_right {s : set α} (h : finite s) (t : set α) : finite (t ⊓ s) :=
h.inter_of_right t
theorem infinite_mono {s t : set α} (h : s ⊆ t) : infinite s → infinite t :=
mt (λ ht, ht.subset h)
instance fintype_image [decidable_eq β] (s : set α) (f : α → β) [fintype s] : fintype (f '' s) :=
fintype.of_finset (s.to_finset.image f) $ by simp
instance fintype_range [decidable_eq β] (f : α → β) [fintype α] : fintype (range f) :=
fintype.of_finset (finset.univ.image f) $ by simp [range]
theorem finite_range (f : α → β) [fintype α] : finite (range f) :=
by haveI := classical.dec_eq β; exact ⟨by apply_instance⟩
theorem finite.image {s : set α} (f : α → β) : finite s → finite (f '' s)
| ⟨h⟩ := ⟨@set.fintype_image _ _ (classical.dec_eq β) _ _ h⟩
theorem infinite_of_infinite_image (f : α → β) {s : set α} (hs : (f '' s).infinite) :
s.infinite :=
mt (finite.image f) hs
lemma finite.dependent_image {s : set α} (hs : finite s) (F : Π i ∈ s, β) :
finite {y : β | ∃ x (hx : x ∈ s), y = F x hx} :=
begin
letI : fintype s := hs.fintype,
convert finite_range (λ x : s, F x x.2),
simp only [set_coe.exists, subtype.coe_mk, eq_comm],
end
theorem finite.of_preimage {f : α → β} {s : set β} (h : finite (f ⁻¹' s)) (hf : surjective f) :
finite s :=
hf.image_preimage s ▸ h.image _
instance fintype_map {α β} [decidable_eq β] :
∀ (s : set α) (f : α → β) [fintype s], fintype (f <$> s) := set.fintype_image
theorem finite.map {α β} {s : set α} :
∀ (f : α → β), finite s → finite (f <$> s) := finite.image
/-- If a function `f` has a partial inverse and sends a set `s` to a set with `[fintype]` instance,
then `s` has a `fintype` structure as well. -/
def fintype_of_fintype_image (s : set α)
{f : α → β} {g} (I : is_partial_inv f g) [fintype (f '' s)] : fintype s :=
fintype.of_finset ⟨_, @multiset.nodup_filter_map β α g _
(@injective_of_partial_inv_right _ _ f g I) (f '' s).to_finset.2⟩ $ λ a,
begin
suffices : (∃ b x, f x = b ∧ g b = some a ∧ x ∈ s) ↔ a ∈ s,
by simpa [exists_and_distrib_left.symm, and.comm, and.left_comm, and.assoc],
rw exists_swap,
suffices : (∃ x, x ∈ s ∧ g (f x) = some a) ↔ a ∈ s, {simpa [and.comm, and.left_comm, and.assoc]},
simp [I _, (injective_of_partial_inv I).eq_iff]
end
theorem finite_of_finite_image {s : set α} {f : α → β} (hi : set.inj_on f s) :
finite (f '' s) → finite s | ⟨h⟩ :=
⟨@fintype.of_injective _ _ h (λa:s, ⟨f a.1, mem_image_of_mem f a.2⟩) $
assume a b eq, subtype.eq $ hi a.2 b.2 $ subtype.ext_iff_val.1 eq⟩
theorem finite_image_iff {s : set α} {f : α → β} (hi : inj_on f s) :
finite (f '' s) ↔ finite s :=
⟨finite_of_finite_image hi, finite.image _⟩
theorem infinite_image_iff {s : set α} {f : α → β} (hi : inj_on f s) :
infinite (f '' s) ↔ infinite s :=
not_congr $ finite_image_iff hi
theorem infinite_of_inj_on_maps_to {s : set α} {t : set β} {f : α → β}
(hi : inj_on f s) (hm : maps_to f s t) (hs : infinite s) : infinite t :=
infinite_mono (maps_to'.mp hm) $ (infinite_image_iff hi).2 hs
theorem infinite.exists_ne_map_eq_of_maps_to {s : set α} {t : set β} {f : α → β}
(hs : infinite s) (hf : maps_to f s t) (ht : finite t) :
∃ (x ∈ s) (y ∈ s), x ≠ y ∧ f x = f y :=
begin
unfreezingI { contrapose! ht },
exact infinite_of_inj_on_maps_to (λ x hx y hy, not_imp_not.1 (ht x hx y hy)) hf hs
end
theorem infinite.exists_lt_map_eq_of_maps_to [linear_order α] {s : set α} {t : set β} {f : α → β}
(hs : infinite s) (hf : maps_to f s t) (ht : finite t) :
∃ (x ∈ s) (y ∈ s), x < y ∧ f x = f y :=
let ⟨x, hx, y, hy, hxy, hf⟩ := hs.exists_ne_map_eq_of_maps_to hf ht
in hxy.lt_or_lt.elim (λ hxy, ⟨x, hx, y, hy, hxy, hf⟩) (λ hyx, ⟨y, hy, x, hx, hyx, hf.symm⟩)
theorem infinite_range_of_injective [_root_.infinite α] {f : α → β} (hi : injective f) :
infinite (range f) :=
by { rw [←image_univ, infinite_image_iff (inj_on_of_injective hi _)], exact infinite_univ }
theorem infinite_of_injective_forall_mem [_root_.infinite α] {s : set β} {f : α → β}
(hi : injective f) (hf : ∀ x : α, f x ∈ s) : infinite s :=
by { rw ←range_subset_iff at hf, exact infinite_mono hf (infinite_range_of_injective hi) }
theorem finite.preimage {s : set β} {f : α → β}
(I : set.inj_on f (f⁻¹' s)) (h : finite s) : finite (f ⁻¹' s) :=
finite_of_finite_image I (h.subset (image_preimage_subset f s))
theorem finite.preimage_embedding {s : set β} (f : α ↪ β) (h : s.finite) : (f ⁻¹' s).finite :=
finite.preimage (λ _ _ _ _ h', f.injective h') h
lemma finite_option {s : set (option α)} : finite s ↔ finite {x : α | some x ∈ s} :=
⟨λ h, h.preimage_embedding embedding.some,
λ h, ((h.image some).insert none).subset $
λ x, option.cases_on x (λ _, or.inl rfl) (λ x hx, or.inr $ mem_image_of_mem _ hx)⟩
instance fintype_Union [decidable_eq α] {ι : Type*} [fintype ι]
(f : ι → set α) [∀ i, fintype (f i)] : fintype (⋃ i, f i) :=
fintype.of_finset (finset.univ.bUnion (λ i, (f i).to_finset)) $ by simp
theorem finite_Union {ι : Type*} [fintype ι] {f : ι → set α} (H : ∀i, finite (f i)) :
finite (⋃ i, f i) :=
⟨@set.fintype_Union _ (classical.dec_eq α) _ _ _ (λ i, finite.fintype (H i))⟩
/-- A union of sets with `fintype` structure over a set with `fintype` structure has a `fintype`
structure. -/
def fintype_bUnion [decidable_eq α] {ι : Type*} {s : set ι} [fintype s]
(f : ι → set α) (H : ∀ i ∈ s, fintype (f i)) : fintype (⋃ i ∈ s, f i) :=
by rw bUnion_eq_Union; exact
@set.fintype_Union _ _ _ _ _ (by rintro ⟨i, hi⟩; exact H i hi)
instance fintype_bUnion' [decidable_eq α] {ι : Type*} {s : set ι} [fintype s]
(f : ι → set α) [H : ∀ i, fintype (f i)] : fintype (⋃ i ∈ s, f i) :=
fintype_bUnion _ (λ i _, H i)
theorem finite.sUnion {s : set (set α)} (h : finite s) (H : ∀t∈s, finite t) : finite (⋃₀ s) :=
by rw sUnion_eq_Union; haveI := finite.fintype h;
apply finite_Union; simpa using H
theorem finite.bUnion {α} {ι : Type*} {s : set ι} {f : Π i ∈ s, set α} :
finite s → (∀ i ∈ s, finite (f i ‹_›)) → finite (⋃ i∈s, f i ‹_›)
| ⟨hs⟩ h := by rw [bUnion_eq_Union]; exactI finite_Union (λ i, h _ _)
theorem finite_Union_Prop {p : Prop} {f : p → set α} (hf : ∀ h, finite (f h)) :
finite (⋃ h : p, f h) :=
by by_cases p; simp *
instance fintype_lt_nat (n : ℕ) : fintype {i | i < n} :=
fintype.of_finset (finset.range n) $ by simp
instance fintype_le_nat (n : ℕ) : fintype {i | i ≤ n} :=
by simpa [nat.lt_succ_iff] using set.fintype_lt_nat (n+1)
lemma finite_le_nat (n : ℕ) : finite {i | i ≤ n} := ⟨set.fintype_le_nat _⟩
lemma finite_lt_nat (n : ℕ) : finite {i | i < n} := ⟨set.fintype_lt_nat _⟩
instance fintype_prod (s : set α) (t : set β) [fintype s] [fintype t] : fintype (set.prod s t) :=
fintype.of_finset (s.to_finset.product t.to_finset) $ by simp
lemma finite.prod {s : set α} {t : set β} : finite s → finite t → finite (set.prod s t)
| ⟨hs⟩ ⟨ht⟩ := by exactI ⟨set.fintype_prod s t⟩
/-- `image2 f s t` is finitype if `s` and `t` are. -/
instance fintype_image2 [decidable_eq γ] (f : α → β → γ) (s : set α) (t : set β)
[hs : fintype s] [ht : fintype t] : fintype (image2 f s t : set γ) :=
by { rw ← image_prod, apply set.fintype_image }
lemma finite.image2 (f : α → β → γ) {s : set α} {t : set β} (hs : finite s) (ht : finite t) :
finite (image2 f s t) :=
by { rw ← image_prod, exact (hs.prod ht).image _ }
/-- If `s : set α` is a set with `fintype` instance and `f : α → set β` is a function such that
each `f a`, `a ∈ s`, has a `fintype` structure, then `s >>= f` has a `fintype` structure. -/
def fintype_bind {α β} [decidable_eq β] (s : set α) [fintype s]
(f : α → set β) (H : ∀ a ∈ s, fintype (f a)) : fintype (s >>= f) :=
set.fintype_bUnion _ H
instance fintype_bind' {α β} [decidable_eq β] (s : set α) [fintype s]
(f : α → set β) [H : ∀ a, fintype (f a)] : fintype (s >>= f) :=
fintype_bind _ _ (λ i _, H i)
theorem finite.bind {α β} {s : set α} {f : α → set β} (h : finite s) (hf : ∀ a ∈ s, finite (f a)) :
finite (s >>= f) :=
h.bUnion hf
instance fintype_seq [decidable_eq β] (f : set (α → β)) (s : set α) [fintype f] [fintype s] :
fintype (f.seq s) :=
by { rw seq_def, apply set.fintype_bUnion' }
instance fintype_seq' {α β : Type u} [decidable_eq β]
(f : set (α → β)) (s : set α) [fintype f] [fintype s] :
fintype (f <*> s) :=
set.fintype_seq f s
theorem finite.seq {f : set (α → β)} {s : set α} (hf : finite f) (hs : finite s) :
finite (f.seq s) :=
by { rw seq_def, exact hf.bUnion (λ f _, hs.image _) }
theorem finite.seq' {α β : Type u} {f : set (α → β)} {s : set α} (hf : finite f) (hs : finite s) :
finite (f <*> s) :=
hf.seq hs
/-- There are finitely many subsets of a given finite set -/
lemma finite.finite_subsets {α : Type u} {a : set α} (h : finite a) : finite {b | b ⊆ a} :=
begin
-- we just need to translate the result, already known for finsets,
-- to the language of finite sets
let s : set (set α) := coe '' (↑(finset.powerset (finite.to_finset h)) : set (finset α)),
have : finite s := (finite_mem_finset _).image _,
apply this.subset,
refine λ b hb, ⟨(h.subset hb).to_finset, _, finite.coe_to_finset _⟩,
simpa [finset.subset_iff]
end
lemma exists_min_image [linear_order β] (s : set α) (f : α → β) (h1 : finite s) :
s.nonempty → ∃ a ∈ s, ∀ b ∈ s, f a ≤ f b
| ⟨x, hx⟩ := by simpa only [exists_prop, finite.mem_to_finset]
using h1.to_finset.exists_min_image f ⟨x, h1.mem_to_finset.2 hx⟩
lemma exists_max_image [linear_order β] (s : set α) (f : α → β) (h1 : finite s) :
s.nonempty → ∃ a ∈ s, ∀ b ∈ s, f b ≤ f a
| ⟨x, hx⟩ := by simpa only [exists_prop, finite.mem_to_finset]
using h1.to_finset.exists_max_image f ⟨x, h1.mem_to_finset.2 hx⟩
theorem exists_lower_bound_image [hα : nonempty α] [linear_order β] (s : set α) (f : α → β)
(h : s.finite) : ∃ (a : α), ∀ b ∈ s, f a ≤ f b :=
begin
by_cases hs : set.nonempty s,
{ exact let ⟨x₀, H, hx₀⟩ := set.exists_min_image s f h hs in ⟨x₀, λ x hx, hx₀ x hx⟩ },
{ exact nonempty.elim hα (λ a, ⟨a, λ x hx, absurd (set.nonempty_of_mem hx) hs⟩) }
end
theorem exists_upper_bound_image [hα : nonempty α] [linear_order β] (s : set α) (f : α → β)
(h : s.finite) : ∃ (a : α), ∀ b ∈ s, f b ≤ f a :=
begin
by_cases hs : set.nonempty s,
{ exact let ⟨x₀, H, hx₀⟩ := set.exists_max_image s f h hs in ⟨x₀, λ x hx, hx₀ x hx⟩ },
{ exact nonempty.elim hα (λ a, ⟨a, λ x hx, absurd (set.nonempty_of_mem hx) hs⟩) }
end
end set
namespace finset
variables [decidable_eq β]
variables {s : finset α}
lemma finite_to_set (s : finset α) : set.finite (↑s : set α) :=
set.finite_mem_finset s
@[simp] lemma coe_bUnion {f : α → finset β} : ↑(s.bUnion f) = (⋃x ∈ (↑s : set α), ↑(f x) : set β) :=
by simp [set.ext_iff]
@[simp] lemma finite_to_set_to_finset {α : Type*} (s : finset α) :
(finite_to_set s).to_finset = s :=
by { ext, rw [set.finite.mem_to_finset, mem_coe] }
end finset
namespace set
/-- Finite product of finite sets is finite -/
lemma finite.pi {δ : Type*} [fintype δ] {κ : δ → Type*} {t : Π d, set (κ d)}
(ht : ∀ d, (t d).finite) :
(pi univ t).finite :=
begin
classical,
convert (fintype.pi_finset (λ d, (ht d).to_finset)).finite_to_set,
ext,
simp,
end
lemma finite_subset_Union {s : set α} (hs : finite s)
{ι} {t : ι → set α} (h : s ⊆ ⋃ i, t i) : ∃ I : set ι, finite I ∧ s ⊆ ⋃ i ∈ I, t i :=
begin
casesI hs,
choose f hf using show ∀ x : s, ∃ i, x.1 ∈ t i, {simpa [subset_def] using h},
refine ⟨range f, finite_range f, _⟩,
rintro x hx,
simp,
exact ⟨x, ⟨hx, hf _⟩⟩,
end
lemma eq_finite_Union_of_finite_subset_Union {ι} {s : ι → set α} {t : set α} (tfin : finite t)
(h : t ⊆ ⋃ i, s i) :
∃ I : set ι, (finite I) ∧ ∃ σ : {i | i ∈ I} → set α,
(∀ i, finite (σ i)) ∧ (∀ i, σ i ⊆ s i) ∧ t = ⋃ i, σ i :=
let ⟨I, Ifin, hI⟩ := finite_subset_Union tfin h in
⟨I, Ifin, λ x, s x ∩ t,
λ i, tfin.subset (inter_subset_right _ _),
λ i, inter_subset_left _ _,
begin
ext x,
rw mem_Union,
split,
{ intro x_in,
rcases mem_Union.mp (hI x_in) with ⟨i, _, ⟨hi, rfl⟩, H⟩,
use [i, hi, H, x_in] },
{ rintros ⟨i, hi, H⟩,
exact H }
end⟩
/-- An increasing union distributes over finite intersection. -/
lemma Union_Inter_of_monotone {ι ι' α : Type*} [fintype ι] [linear_order ι']
[nonempty ι'] {s : ι → ι' → set α} (hs : ∀ i, monotone (s i)) :
(⋃ j : ι', ⋂ i : ι, s i j) = ⋂ i : ι, ⋃ j : ι', s i j :=
begin
ext x, refine ⟨λ hx, Union_Inter_subset hx, λ hx, _⟩,
simp only [mem_Inter, mem_Union, mem_Inter] at hx ⊢, choose j hj using hx,
obtain ⟨j₀⟩ := show nonempty ι', by apply_instance,
refine ⟨finset.univ.fold max j₀ j, λ i, hs i _ (hj i)⟩,
rw [finset.fold_op_rel_iff_or (@le_max_iff _ _)],
exact or.inr ⟨i, finset.mem_univ i, le_rfl⟩
end
instance nat.fintype_Iio (n : ℕ) : fintype (Iio n) :=
fintype.of_finset (finset.range n) $ by simp
/--
If `P` is some relation between terms of `γ` and sets in `γ`,
such that every finite set `t : set γ` has some `c : γ` related to it,
then there is a recursively defined sequence `u` in `γ`
so `u n` is related to the image of `{0, 1, ..., n-1}` under `u`.
(We use this later to show sequentially compact sets
are totally bounded.)
-/
lemma seq_of_forall_finite_exists {γ : Type*}
{P : γ → set γ → Prop} (h : ∀ t, finite t → ∃ c, P c t) :
∃ u : ℕ → γ, ∀ n, P (u n) (u '' Iio n) :=
⟨λ n, @nat.strong_rec_on' (λ _, γ) n $ λ n ih, classical.some $ h
(range $ λ m : Iio n, ih m.1 m.2)
(finite_range _),
λ n, begin
classical,
refine nat.strong_rec_on' n (λ n ih, _),
rw nat.strong_rec_on_beta', convert classical.some_spec (h _ _),
ext x, split,
{ rintros ⟨m, hmn, rfl⟩, exact ⟨⟨m, hmn⟩, rfl⟩ },
{ rintros ⟨⟨m, hmn⟩, rfl⟩, exact ⟨m, hmn, rfl⟩ }
end⟩
lemma finite_range_ite {p : α → Prop} [decidable_pred p] {f g : α → β} (hf : finite (range f))
(hg : finite (range g)) : finite (range (λ x, if p x then f x else g x)) :=
(hf.union hg).subset range_ite_subset
lemma finite_range_const {c : β} : finite (range (λ x : α, c)) :=
(finite_singleton c).subset range_const_subset
lemma range_find_greatest_subset {P : α → ℕ → Prop} [∀ x, decidable_pred (P x)] {b : ℕ}:
range (λ x, nat.find_greatest (P x) b) ⊆ ↑(finset.range (b + 1)) :=
by { rw range_subset_iff, assume x, simp [nat.lt_succ_iff, nat.find_greatest_le] }
lemma finite_range_find_greatest {P : α → ℕ → Prop} [∀ x, decidable_pred (P x)] {b : ℕ} :
finite (range (λ x, nat.find_greatest (P x) b)) :=
(finset.range (b + 1)).finite_to_set.subset range_find_greatest_subset
lemma card_lt_card {s t : set α} [fintype s] [fintype t] (h : s ⊂ t) :
fintype.card s < fintype.card t :=
fintype.card_lt_of_injective_not_surjective (set.inclusion h.1) (set.inclusion_injective h.1) $
λ hst, (ssubset_iff_subset_ne.1 h).2 (eq_of_inclusion_surjective hst)
lemma card_le_of_subset {s t : set α} [fintype s] [fintype t] (hsub : s ⊆ t) :
fintype.card s ≤ fintype.card t :=
fintype.card_le_of_injective (set.inclusion hsub) (set.inclusion_injective hsub)
lemma eq_of_subset_of_card_le {s t : set α} [fintype s] [fintype t]
(hsub : s ⊆ t) (hcard : fintype.card t ≤ fintype.card s) : s = t :=
(eq_or_ssubset_of_subset hsub).elim id
(λ h, absurd hcard $ not_le_of_lt $ card_lt_card h)
lemma subset_iff_to_finset_subset (s t : set α) [fintype s] [fintype t] :
s ⊆ t ↔ s.to_finset ⊆ t.to_finset :=
by simp
@[simp, mono] lemma finite.to_finset_mono {s t : set α} {hs : finite s} {ht : finite t} :
hs.to_finset ⊆ ht.to_finset ↔ s ⊆ t :=
begin
split,
{ intros h x,
rw [←finite.mem_to_finset hs, ←finite.mem_to_finset ht],
exact λ hx, h hx },
{ intros h x,
rw [finite.mem_to_finset hs, finite.mem_to_finset ht],
exact λ hx, h hx }
end
@[simp, mono] lemma finite.to_finset_strict_mono {s t : set α} {hs : finite s} {ht : finite t} :
hs.to_finset ⊂ ht.to_finset ↔ s ⊂ t :=
begin
rw [←lt_eq_ssubset, ←finset.lt_iff_ssubset, lt_iff_le_and_ne, lt_iff_le_and_ne],
simp
end
lemma card_range_of_injective [fintype α] {f : α → β} (hf : injective f)
[fintype (range f)] : fintype.card (range f) = fintype.card α :=
eq.symm $ fintype.card_congr $ equiv.of_injective f hf
lemma finite.exists_maximal_wrt [partial_order β] (f : α → β) (s : set α) (h : set.finite s) :
s.nonempty → ∃a∈s, ∀a'∈s, f a ≤ f a' → f a = f a' :=
begin
classical,
refine h.induction_on _ _,
{ assume h, exact absurd h empty_not_nonempty },
assume a s his _ ih _,
cases s.eq_empty_or_nonempty with h h,
{ use a, simp [h] },
rcases ih h with ⟨b, hb, ih⟩,
by_cases f b ≤ f a,
{ refine ⟨a, set.mem_insert _ _, assume c hc hac, le_antisymm hac _⟩,
rcases set.mem_insert_iff.1 hc with rfl | hcs,
{ refl },
{ rwa [← ih c hcs (le_trans h hac)] } },
{ refine ⟨b, set.mem_insert_of_mem _ hb, assume c hc hbc, _⟩,
rcases set.mem_insert_iff.1 hc with rfl | hcs,
{ exact (h hbc).elim },
{ exact ih c hcs hbc } }
end
lemma finite.card_to_finset {s : set α} [fintype s] (h : s.finite) :
h.to_finset.card = fintype.card s :=
by { rw [← finset.card_attach, finset.attach_eq_univ, ← fintype.card], congr' 2, funext,
rw set.finite.mem_to_finset }
section decidable_eq
lemma to_finset_compl {α : Type*} [fintype α] [decidable_eq α]
(s : set α) [fintype (sᶜ : set α)] [fintype s] : sᶜ.to_finset = (s.to_finset)ᶜ :=
by ext; simp
lemma to_finset_inter {α : Type*} [decidable_eq α] (s t : set α) [fintype (s ∩ t : set α)]
[fintype s] [fintype t] : (s ∩ t).to_finset = s.to_finset ∩ t.to_finset :=
by ext; simp
lemma to_finset_union {α : Type*} [decidable_eq α] (s t : set α) [fintype (s ∪ t : set α)]
[fintype s] [fintype t] : (s ∪ t).to_finset = s.to_finset ∪ t.to_finset :=
by ext; simp
lemma to_finset_ne_eq_erase {α : Type*} [decidable_eq α] [fintype α] (a : α)
[fintype {x : α | x ≠ a}] : {x : α | x ≠ a}.to_finset = finset.univ.erase a :=
by ext; simp
lemma card_ne_eq [fintype α] (a : α) [fintype {x : α | x ≠ a}] :
fintype.card {x : α | x ≠ a} = fintype.card α - 1 :=
begin
haveI := classical.dec_eq α,
rw [←to_finset_card, to_finset_ne_eq_erase, finset.card_erase_of_mem (finset.mem_univ _),
finset.card_univ, nat.pred_eq_sub_one],
end
end decidable_eq
section
variables [semilattice_sup α] [nonempty α] {s : set α}
/--A finite set is bounded above.-/
protected lemma finite.bdd_above (hs : finite s) : bdd_above s :=
finite.induction_on hs bdd_above_empty $ λ a s _ _ h, h.insert a
/--A finite union of sets which are all bounded above is still bounded above.-/
lemma finite.bdd_above_bUnion {I : set β} {S : β → set α} (H : finite I) :
(bdd_above (⋃i∈I, S i)) ↔ (∀i ∈ I, bdd_above (S i)) :=
finite.induction_on H
(by simp only [bUnion_empty, bdd_above_empty, ball_empty_iff])
(λ a s ha _ hs, by simp only [bUnion_insert, ball_insert_iff, bdd_above_union, hs])
end
section
variables [semilattice_inf α] [nonempty α] {s : set α}
/--A finite set is bounded below.-/
protected lemma finite.bdd_below (hs : finite s) : bdd_below s :=
@finite.bdd_above (order_dual α) _ _ _ hs
/--A finite union of sets which are all bounded below is still bounded below.-/
lemma finite.bdd_below_bUnion {I : set β} {S : β → set α} (H : finite I) :
(bdd_below (⋃i∈I, S i)) ↔ (∀i ∈ I, bdd_below (S i)) :=
@finite.bdd_above_bUnion (order_dual α) _ _ _ _ _ H
end
end set
namespace finset
/-- A finset is bounded above. -/
protected lemma bdd_above [semilattice_sup α] [nonempty α] (s : finset α) :
bdd_above (↑s : set α) :=
s.finite_to_set.bdd_above
/-- A finset is bounded below. -/
protected lemma bdd_below [semilattice_inf α] [nonempty α] (s : finset α) :
bdd_below (↑s : set α) :=
s.finite_to_set.bdd_below
end finset
namespace fintype
variables [fintype α] {p q : α → Prop} [decidable_pred p] [decidable_pred q]
@[simp]
lemma card_subtype_compl : fintype.card {x // ¬ p x} = fintype.card α - fintype.card {x // p x} :=
begin
classical,
rw [fintype.card_of_subtype (set.to_finset pᶜ), set.to_finset_compl p, finset.card_compl,
fintype.card_of_subtype (set.to_finset p)];
intros; simp; refl
end
/-- If two subtypes of a fintype have equal cardinality, so do their complements. -/
lemma card_compl_eq_card_compl (h : fintype.card {x // p x} = fintype.card {x // q x}) :
fintype.card {x // ¬ p x} = fintype.card {x // ¬ q x} :=
by simp only [card_subtype_compl, h]
end fintype
/--
If a set `s` does not contain any elements between any pair of elements `x, z ∈ s` with `x ≤ z`
(i.e if given `x, y, z ∈ s` such that `x ≤ y ≤ z`, then `y` is either `x` or `z`), then `s` is
finite.
-/
lemma set.finite_of_forall_between_eq_endpoints {α : Type*} [linear_order α] (s : set α)
(h : ∀ (x ∈ s) (y ∈ s) (z ∈ s), x ≤ y → y ≤ z → x = y ∨ y = z) :
set.finite s :=
begin
by_contra hinf,
change s.infinite at hinf,
rcases hinf.exists_subset_card_eq 3 with ⟨t, hts, ht⟩,
let f := t.order_iso_of_fin ht,
let x := f 0,
let y := f 1,
let z := f 2,
have := h x (hts x.2) y (hts y.2) z (hts z.2)
(f.monotone $ by dec_trivial) (f.monotone $ by dec_trivial),
have key₁ : (0 : fin 3) ≠ 1 := by dec_trivial,
have key₂ : (1 : fin 3) ≠ 2 := by dec_trivial,
cases this,
{ dsimp only [x, y] at this, exact key₁ (f.injective $ subtype.coe_injective this) },
{ dsimp only [y, z] at this, exact key₂ (f.injective $ subtype.coe_injective this) }
end
|
ac1a57caf266855a8be9cf2334a1e86c67b5ee25 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/bintreeGoal.lean | bdb929ee960f02293a5c099d1a47da44282df418 | [
"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 | 1,816 | lean | inductive Tree (β : Type v) where
| leaf
| node (left : Tree β) (key : Nat) (value : β) (right : Tree β)
deriving Repr
def Tree.find? (t : Tree β) (k : Nat) : Option β :=
match t with
| leaf => none
| node left key value right =>
if k < key then
left.find? k
else if key < k then
right.find? k
else
some value
def Tree.insert (t : Tree β) (k : Nat) (v : β) : Tree β :=
match t with
| leaf => node leaf k v leaf
| node left key value right =>
if k < key then
node (left.insert k v) key value right
else if key < k then
node left key value (right.insert k v)
else
node left k v right
inductive ForallTree (p : Nat → β → Prop) : Tree β → Prop
| leaf : ForallTree p .leaf
| node :
ForallTree p left →
p key value →
ForallTree p right →
ForallTree p (.node left key value right)
inductive BST : Tree β → Prop
| leaf : BST .leaf
| node :
{value : β} →
ForallTree (fun k v => k < key) left →
ForallTree (fun k v => key < k) right →
BST left → BST right →
BST (.node left key value right)
def BinTree (β : Type u) := { t : Tree β // BST t }
def BinTree.mk : BinTree β :=
⟨.leaf, .leaf⟩
def BinTree.find? (b : BinTree β) (k : Nat) : Option β :=
b.val.find? k
def BinTree.insert (b : BinTree β) (k : Nat) (v : β) : BinTree β :=
⟨b.val.insert k v, sorry⟩
attribute [local simp]
BinTree.mk BinTree.find?
BinTree.insert Tree.find? Tree.insert
theorem BinTree.find_insert (b : BinTree β) (k : Nat) (v : β)
: (b.insert k v).find? k = some v := by
let ⟨t, h⟩ := b; simp
induction t with simp
| node left key value right ihl ihr =>
by_cases k < key <;> simp [*]
. cases h; apply ihl; done
. sorry
|
b5dd4358e182bd1b4797b9ac4c8f28fd721f879f | 69d4931b605e11ca61881fc4f66db50a0a875e39 | /test/lift.lean | d0bd06dc17dafb180f46540bb6679f62d27391e4 | [
"Apache-2.0"
] | permissive | abentkamp/mathlib | d9a75d291ec09f4637b0f30cc3880ffb07549ee5 | 5360e476391508e092b5a1e5210bd0ed22dc0755 | refs/heads/master | 1,682,382,954,948 | 1,622,106,077,000 | 1,622,106,077,000 | 149,285,665 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 643 | lean | import tactic.lift
import data.set.basic
instance can_lift_subtype (R : Type*) (P : R → Prop) : can_lift R {x // P x} :=
{ coe := coe,
cond := λ x, P x,
prf := λ x hx, ⟨⟨x, hx⟩, rfl⟩ }
instance can_lift_set (R : Type*) (s : set R) : can_lift R s :=
{ coe := coe,
cond := λ x, x ∈ s,
prf := λ x hx, ⟨⟨x, hx⟩, rfl⟩ }
example {R : Type*} {P : R → Prop} (x : R) (hx : P x) : true :=
by { lift x to {x // P x} using hx with y, trivial }
/-! Test that `lift` elaborates `s` as a type, not as a set. -/
example {R : Type*} {s : set R} (x : R) (hx : x ∈ s) : true :=
by { lift x to s using hx with y, trivial }
|
533cdcbd80aee3b62b02752d58e3d42a82161837 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/set_theory/zfc.lean | 148aa37b3bd752f6d64b919176eba242c072967e | [] | 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 | 22,607 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Mario Carneiro
A model of ZFC in Lean.
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.data.set.basic
import Mathlib.PostPort
universes u u_1 l u_2 u_3 v
namespace Mathlib
/-- The type of `n`-ary functions `α → α → ... → α`. -/
def arity (α : Type u) : ℕ → Type u :=
sorry
namespace arity
/-- Constant `n`-ary function with value `a`. -/
def const {α : Type u} (a : α) (n : ℕ) : arity α n :=
sorry
protected instance arity.inhabited {α : Type u_1} {n : ℕ} [Inhabited α] : Inhabited (arity α n) :=
{ default := const Inhabited.default n }
end arity
/-- The type of pre-sets in universe `u`. A pre-set
is a family of pre-sets indexed by a type in `Type u`.
The ZFC universe is defined as a quotient of this
to ensure extensionality. -/
inductive pSet
where
| mk : (α : Type u) → (α → pSet) → pSet
namespace pSet
/-- The underlying type of a pre-set -/
def type : pSet → Type u :=
sorry
/-- The underlying pre-set family of a pre-set -/
def func (x : pSet) : type x → pSet :=
sorry
theorem mk_type_func (x : pSet) : mk (type x) (func x) = x :=
pSet.cases_on x
fun (x_α : Type u_1) (x_A : x_α → pSet) =>
idRhs (mk (type (mk x_α x_A)) (func (mk x_α x_A)) = mk (type (mk x_α x_A)) (func (mk x_α x_A))) rfl
/-- Two pre-sets are extensionally equivalent if every
element of the first family is extensionally equivalent to
some element of the second family and vice-versa. -/
def equiv (x : pSet) (y : pSet) :=
pSet.rec (fun (α : Type u_1) (z : α → pSet) (m : α → pSet → Prop) (_x : pSet) => sorry) x y
theorem equiv.refl (x : pSet) : equiv x x :=
pSet.rec_on x
fun (α : Type u_1) (A : α → pSet) (IH : ∀ (ᾰ : α), equiv (A ᾰ) (A ᾰ)) =>
{ left := fun (a : α) => Exists.intro a (IH a), right := fun (a : α) => Exists.intro a (IH a) }
theorem equiv.euc {x : pSet} {y : pSet} {z : pSet} : equiv x y → equiv z y → equiv x z := sorry
theorem equiv.symm {x : pSet} {y : pSet} : equiv x y → equiv y x :=
equiv.euc (equiv.refl y)
theorem equiv.trans {x : pSet} {y : pSet} {z : pSet} (h1 : equiv x y) (h2 : equiv y z) : equiv x z :=
equiv.euc h1 (equiv.symm h2)
protected instance setoid : setoid pSet :=
setoid.mk equiv sorry
protected def subset : pSet → pSet → Prop :=
sorry
protected instance has_subset : has_subset pSet :=
has_subset.mk pSet.subset
theorem equiv.ext (x : pSet) (y : pSet) : equiv x y ↔ x ⊆ y ∧ y ⊆ x := sorry
theorem subset.congr_left {x : pSet} {y : pSet} {z : pSet} : equiv x y → (x ⊆ z ↔ y ⊆ z) := sorry
theorem subset.congr_right {x : pSet} {y : pSet} {z : pSet} : equiv x y → (z ⊆ x ↔ z ⊆ y) := sorry
/-- `x ∈ y` as pre-sets if `x` is extensionally equivalent to a member
of the family `y`. -/
def mem : pSet → pSet → Prop :=
sorry
protected instance has_mem : has_mem pSet pSet :=
has_mem.mk mem
theorem mem.mk {α : Type u} (A : α → pSet) (a : α) : A a ∈ mk α A :=
(fun (this : mem (A a) (mk α A)) => this) (Exists.intro a (equiv.refl (A a)))
theorem mem.ext {x : pSet} {y : pSet} : (∀ (w : pSet), w ∈ x ↔ w ∈ y) → equiv x y := sorry
theorem mem.congr_right {x : pSet} {y : pSet} : equiv x y → ∀ {w : pSet}, w ∈ x ↔ w ∈ y := sorry
theorem equiv_iff_mem {x : pSet} {y : pSet} : equiv x y ↔ ∀ {w : pSet}, w ∈ x ↔ w ∈ y := sorry
theorem mem.congr_left {x : pSet} {y : pSet} : equiv x y → ∀ {w : pSet}, x ∈ w ↔ y ∈ w := sorry
/-- Convert a pre-set to a `set` of pre-sets. -/
def to_set (u : pSet) : set pSet :=
set_of fun (x : pSet) => x ∈ u
/-- Two pre-sets are equivalent iff they have the same members. -/
theorem equiv.eq {x : pSet} {y : pSet} : equiv x y ↔ to_set x = to_set y :=
iff.trans equiv_iff_mem (iff.symm set.ext_iff)
protected instance set.has_coe : has_coe pSet (set pSet) :=
has_coe.mk to_set
/-- The empty pre-set -/
protected def empty : pSet :=
mk (ulift empty) fun (e : ulift empty) => sorry
protected instance has_emptyc : has_emptyc pSet :=
has_emptyc.mk pSet.empty
protected instance inhabited : Inhabited pSet :=
{ default := ∅ }
theorem mem_empty (x : pSet) : ¬x ∈ ∅ := sorry
/-- Insert an element into a pre-set -/
protected def insert : pSet → pSet → pSet :=
sorry
protected instance has_insert : has_insert pSet pSet :=
has_insert.mk pSet.insert
protected instance has_singleton : has_singleton pSet pSet :=
has_singleton.mk fun (s : pSet) => insert s ∅
protected instance is_lawful_singleton : is_lawful_singleton pSet pSet :=
is_lawful_singleton.mk fun (_x : pSet) => rfl
/-- The n-th von Neumann ordinal -/
def of_nat : ℕ → pSet :=
sorry
/-- The von Neumann ordinal ω -/
def omega : pSet :=
mk (ulift ℕ) fun (n : ulift ℕ) => of_nat (ulift.down n)
/-- The separation operation `{x ∈ a | p x}` -/
protected def sep (p : set pSet) : pSet → pSet :=
sorry
protected instance has_sep : has_sep pSet pSet :=
has_sep.mk pSet.sep
/-- The powerset operator -/
def powerset : pSet → pSet :=
sorry
theorem mem_powerset {x : pSet} {y : pSet} : y ∈ powerset x ↔ y ⊆ x := sorry
/-- The set union operator -/
def Union : pSet → pSet :=
sorry
theorem mem_Union {x : pSet} {y : pSet} : y ∈ Union x ↔ ∃ (z : pSet), ∃ (_x : z ∈ x), y ∈ z := sorry
/-- The image of a function -/
def image (f : pSet → pSet) : pSet → pSet :=
sorry
theorem mem_image {f : pSet → pSet} (H : ∀ {x y : pSet}, equiv x y → equiv (f x) (f y)) {x : pSet} {y : pSet} : y ∈ image f x ↔ ∃ (z : pSet), ∃ (H : z ∈ x), equiv y (f z) := sorry
/-- Universe lift operation -/
protected def lift : pSet → pSet :=
sorry
/-- Embedding of one universe in another -/
def embed : pSet :=
mk (ulift pSet) fun (_x : ulift pSet) => sorry
theorem lift_mem_embed (x : pSet) : pSet.lift x ∈ embed :=
Exists.intro (ulift.up x) (equiv.refl (pSet.lift x))
/-- Function equivalence is defined so that `f ~ g` iff
`∀ x y, x ~ y → f x ~ g y`. This extends to equivalence of n-ary
functions. -/
def arity.equiv {n : ℕ} : arity pSet n → arity pSet n → Prop :=
sorry
theorem arity.equiv_const {a : pSet} (n : ℕ) : arity.equiv (arity.const a n) (arity.const a n) := sorry
/-- `resp n` is the collection of n-ary functions on `pSet` that respect
equivalence, i.e. when the inputs are equivalent the output is as well. -/
def resp (n : ℕ) :=
Subtype fun (x : arity pSet n) => arity.equiv x x
protected instance resp.inhabited {n : ℕ} : Inhabited (resp n) :=
{ default := { val := arity.const Inhabited.default n, property := sorry } }
def resp.f {n : ℕ} (f : resp (n + 1)) (x : pSet) : resp n :=
{ val := subtype.val f x, property := sorry }
def resp.equiv {n : ℕ} (a : resp n) (b : resp n) :=
arity.equiv (subtype.val a) (subtype.val b)
theorem resp.refl {n : ℕ} (a : resp n) : resp.equiv a a :=
subtype.property a
theorem resp.euc {n : ℕ} {a : resp n} {b : resp n} {c : resp n} : resp.equiv a b → resp.equiv c b → resp.equiv a c := sorry
protected instance resp.setoid {n : ℕ} : setoid (resp n) :=
setoid.mk resp.equiv sorry
end pSet
/-- The ZFC universe of sets consists of the type of pre-sets,
quotiented by extensional equivalence. -/
def Set :=
quotient pSet.setoid
namespace pSet
namespace resp
def eval_aux {n : ℕ} : Subtype fun (f : resp n → arity Set n) => ∀ (a b : resp n), equiv a b → f a = f b :=
sorry
/-- An equivalence-respecting function yields an n-ary Set function. -/
def eval (n : ℕ) : resp n → arity Set n :=
subtype.val eval_aux
theorem eval_val {n : ℕ} {f : resp (n + 1)} {x : pSet} : eval (n + 1) f (quotient.mk x) = eval n (f f x) :=
rfl
end resp
/-- A set function is "definable" if it is the image of some n-ary pre-set
function. This isn't exactly definability, but is useful as a sufficient
condition for functions that have a computable image. -/
class inductive definable (n : ℕ) : arity Set n → Type (u + 1)
where
| mk : (f : resp n) → definable n (resp.eval n f)
def definable.eq_mk {n : ℕ} (f : resp n) {s : arity Set n} (H : resp.eval n f = s) : definable n s :=
sorry
def definable.resp {n : ℕ} (s : arity Set n) [definable n s] : resp n :=
sorry
theorem definable.eq {n : ℕ} (s : arity Set n) [H : definable n s] : resp.eval n (definable.resp s) = s := sorry
end pSet
namespace classical
def all_definable {n : ℕ} (F : arity Set n) : pSet.definable n F :=
sorry
end classical
namespace Set
def mk : pSet → Set :=
quotient.mk
@[simp] theorem mk_eq (x : pSet) : quotient.mk x = mk x :=
rfl
@[simp] theorem eval_mk {n : ℕ} {f : pSet.resp (n + 1)} {x : pSet} : pSet.resp.eval (n + 1) f (mk x) = pSet.resp.eval n (pSet.resp.f f x) :=
rfl
def mem : Set → Set → Prop :=
quotient.lift₂ pSet.mem sorry
protected instance has_mem : has_mem Set Set :=
has_mem.mk mem
/-- Convert a ZFC set into a `set` of sets -/
def to_set (u : Set) : set Set :=
set_of fun (x : Set) => x ∈ u
protected def subset (x : Set) (y : Set) :=
∀ {z : Set}, z ∈ x → z ∈ y
protected instance has_subset : has_subset Set :=
has_subset.mk Set.subset
theorem subset_def {x : Set} {y : Set} : x ⊆ y ↔ ∀ {z : Set}, z ∈ x → z ∈ y :=
iff.rfl
theorem subset_iff (x : pSet) (y : pSet) : mk x ⊆ mk y ↔ x ⊆ y := sorry
theorem ext {x : Set} {y : Set} : (∀ (z : Set), z ∈ x ↔ z ∈ y) → x = y :=
quotient.induction_on₂ x y
fun (u v : pSet) (h : ∀ (z : Set), z ∈ quotient.mk u ↔ z ∈ quotient.mk v) =>
quotient.sound (pSet.mem.ext fun (w : pSet) => h (quotient.mk w))
theorem ext_iff {x : Set} {y : Set} : (∀ (z : Set), z ∈ x ↔ z ∈ y) ↔ x = y := sorry
/-- The empty set -/
def empty : Set :=
mk ∅
protected instance has_emptyc : has_emptyc Set :=
has_emptyc.mk empty
protected instance inhabited : Inhabited Set :=
{ default := ∅ }
@[simp] theorem mem_empty (x : Set) : ¬x ∈ ∅ :=
quotient.induction_on x pSet.mem_empty
theorem eq_empty (x : Set) : x = ∅ ↔ ∀ (y : Set), ¬y ∈ x := sorry
/-- `insert x y` is the set `{x} ∪ y` -/
protected def insert : Set → Set → Set :=
pSet.resp.eval (bit0 1) { val := pSet.insert, property := sorry }
protected instance has_insert : has_insert Set Set :=
has_insert.mk Set.insert
protected instance has_singleton : has_singleton Set Set :=
has_singleton.mk fun (x : Set) => insert x ∅
protected instance is_lawful_singleton : is_lawful_singleton Set Set :=
is_lawful_singleton.mk fun (x : Set) => rfl
@[simp] theorem mem_insert {x : Set} {y : Set} {z : Set} : x ∈ insert y z ↔ x = y ∨ x ∈ z := sorry
@[simp] theorem mem_singleton {x : Set} {y : Set} : x ∈ singleton y ↔ x = y :=
iff.trans mem_insert
{ mp := fun (o : x = y ∨ x ∈ ∅) => Or._oldrec (fun (h : x = y) => h) (fun (n : x ∈ ∅) => absurd n (mem_empty x)) o,
mpr := Or.inl }
@[simp] theorem mem_pair {x : Set} {y : Set} {z : Set} : x ∈ insert y (singleton z) ↔ x = y ∨ x = z :=
iff.trans mem_insert (or_congr iff.rfl mem_singleton)
/-- `omega` is the first infinite von Neumann ordinal -/
def omega : Set :=
mk pSet.omega
@[simp] theorem omega_zero : ∅ ∈ omega :=
(fun (this : pSet.mem ∅ pSet.omega) => this) (Exists.intro (ulift.up 0) (pSet.equiv.refl ∅))
@[simp] theorem omega_succ {n : Set} : n ∈ omega → insert n n ∈ omega := sorry
/-- `{x ∈ a | p x}` is the set of elements in `a` satisfying `p` -/
protected def sep (p : Set → Prop) : Set → Set :=
pSet.resp.eval 1 { val := pSet.sep fun (y : pSet) => p (quotient.mk y), property := sorry }
protected instance has_sep : has_sep Set Set :=
has_sep.mk Set.sep
@[simp] theorem mem_sep {p : Set → Prop} {x : Set} {y : Set} : y ∈ has_sep.sep (fun (y : Set) => p y) x ↔ y ∈ x ∧ p y := sorry
/-- The powerset operation, the collection of subsets of a set -/
def powerset : Set → Set :=
pSet.resp.eval 1 { val := pSet.powerset, property := sorry }
@[simp] theorem mem_powerset {x : Set} {y : Set} : y ∈ powerset x ↔ y ⊆ x := sorry
theorem Union_lem {α : Type u} {β : Type u} (A : α → pSet) (B : β → pSet) (αβ : ∀ (a : α), ∃ (b : β), pSet.equiv (A a) (B b)) (a : pSet.type (pSet.Union (pSet.mk α A))) : ∃ (b : pSet.type (pSet.Union (pSet.mk β B))),
pSet.equiv (pSet.func (pSet.Union (pSet.mk α A)) a) (pSet.func (pSet.Union (pSet.mk β B)) b) := sorry
/-- The union operator, the collection of elements of elements of a set -/
def Union : Set → Set :=
pSet.resp.eval 1 { val := pSet.Union, property := sorry }
notation:1024 "⋃" => Mathlib.Set.Union
@[simp] theorem mem_Union {x : Set} {y : Set} : y ∈ ⋃ ↔ ∃ (z : Set), ∃ (H : z ∈ x), y ∈ z := sorry
@[simp] theorem Union_singleton {x : Set} : ⋃ = x := sorry
theorem singleton_inj {x : Set} {y : Set} (H : singleton x = singleton y) : x = y :=
let this : ⋃ = ⋃ := congr_arg ⋃ H;
eq.mp (Eq._oldrec (Eq.refl (x = ⋃)) Union_singleton) (eq.mp (Eq._oldrec (Eq.refl (⋃ = ⋃)) Union_singleton) this)
/-- The binary union operation -/
protected def union (x : Set) (y : Set) : Set :=
⋃
/-- The binary intersection operation -/
protected def inter (x : Set) (y : Set) : Set :=
has_sep.sep (fun (z : Set) => z ∈ y) x
/-- The set difference operation -/
protected def diff (x : Set) (y : Set) : Set :=
has_sep.sep (fun (z : Set) => ¬z ∈ y) x
protected instance has_union : has_union Set :=
has_union.mk Set.union
protected instance has_inter : has_inter Set :=
has_inter.mk Set.inter
protected instance has_sdiff : has_sdiff Set :=
has_sdiff.mk Set.diff
@[simp] theorem mem_union {x : Set} {y : Set} {z : Set} : z ∈ x ∪ y ↔ z ∈ x ∨ z ∈ y := sorry
@[simp] theorem mem_inter {x : Set} {y : Set} {z : Set} : z ∈ x ∩ y ↔ z ∈ x ∧ z ∈ y :=
mem_sep
@[simp] theorem mem_diff {x : Set} {y : Set} {z : Set} : z ∈ x \ y ↔ z ∈ x ∧ ¬z ∈ y :=
mem_sep
theorem induction_on {p : Set → Prop} (x : Set) (h : ∀ (x : Set), (∀ (y : Set), y ∈ x → p y) → p x) : p x := sorry
theorem regularity (x : Set) (h : x ≠ ∅) : ∃ (y : Set), ∃ (H : y ∈ x), x ∩ y = ∅ := sorry
/-- The image of a (definable) set function -/
def image (f : Set → Set) [H : pSet.definable 1 f] : Set → Set :=
let r : pSet.resp 1 := pSet.definable.resp f;
pSet.resp.eval 1 { val := pSet.image (subtype.val r), property := sorry }
theorem image.mk (f : Set → Set) [H : pSet.definable 1 f] (x : Set) {y : Set} (h : y ∈ x) : f y ∈ image f x := sorry
@[simp] theorem mem_image {f : Set → Set} [H : pSet.definable 1 f] {x : Set} {y : Set} : y ∈ image f x ↔ ∃ (z : Set), ∃ (H : z ∈ x), f z = y := sorry
/-- Kuratowski ordered pair -/
def pair (x : Set) (y : Set) : Set :=
insert (singleton x) (singleton (insert x (singleton y)))
/-- A subset of pairs `{(a, b) ∈ x × y | p a b}` -/
def pair_sep (p : Set → Set → Prop) (x : Set) (y : Set) : Set :=
has_sep.sep (fun (z : Set) => ∃ (a : Set), ∃ (H : a ∈ x), ∃ (b : Set), ∃ (H : b ∈ y), z = pair a b ∧ p a b)
(powerset (powerset (x ∪ y)))
@[simp] theorem mem_pair_sep {p : Set → Set → Prop} {x : Set} {y : Set} {z : Set} : z ∈ pair_sep p x y ↔ ∃ (a : Set), ∃ (H : a ∈ x), ∃ (b : Set), ∃ (H : b ∈ y), z = pair a b ∧ p a b := sorry
theorem pair_inj {x : Set} {y : Set} {x' : Set} {y' : Set} (H : pair x y = pair x' y') : x = x' ∧ y = y' := sorry
/-- The cartesian product, `{(a, b) | a ∈ x, b ∈ y}` -/
def prod : Set → Set → Set :=
pair_sep fun (a b : Set) => True
@[simp] theorem mem_prod {x : Set} {y : Set} {z : Set} : z ∈ prod x y ↔ ∃ (a : Set), ∃ (H : a ∈ x), ∃ (b : Set), ∃ (H : b ∈ y), z = pair a b := sorry
@[simp] theorem pair_mem_prod {x : Set} {y : Set} {a : Set} {b : Set} : pair a b ∈ prod x y ↔ a ∈ x ∧ b ∈ y := sorry
/-- `is_func x y f` is the assertion `f : x → y` where `f` is a ZFC function
(a set of ordered pairs) -/
def is_func (x : Set) (y : Set) (f : Set) :=
f ⊆ prod x y ∧ ∀ (z : Set), z ∈ x → exists_unique fun (w : Set) => pair z w ∈ f
/-- `funs x y` is `y ^ x`, the set of all set functions `x → y` -/
def funs (x : Set) (y : Set) : Set :=
has_sep.sep (fun (f : Set) => is_func x y f) (powerset (prod x y))
@[simp] theorem mem_funs {x : Set} {y : Set} {f : Set} : f ∈ funs x y ↔ is_func x y f := sorry
-- TODO(Mario): Prove this computably
protected instance map_definable_aux (f : Set → Set) [H : pSet.definable 1 f] : pSet.definable 1 fun (y : Set) => pair y (f y) :=
classical.all_definable fun (y : Set) => pair y (f y)
/-- Graph of a function: `map f x` is the ZFC function which maps `a ∈ x` to `f a` -/
def map (f : Set → Set) [H : pSet.definable 1 f] : Set → Set :=
image fun (y : Set) => pair y (f y)
@[simp] theorem mem_map {f : Set → Set} [H : pSet.definable 1 f] {x : Set} {y : Set} : y ∈ map f x ↔ ∃ (z : Set), ∃ (H : z ∈ x), pair z (f z) = y :=
mem_image
theorem map_unique {f : Set → Set} [H : pSet.definable 1 f] {x : Set} {z : Set} (zx : z ∈ x) : exists_unique fun (w : Set) => pair z w ∈ map f x := sorry
@[simp] theorem map_is_func {f : Set → Set} [H : pSet.definable 1 f] {x : Set} {y : Set} : is_func x y (map f x) ↔ ∀ (z : Set), z ∈ x → f z ∈ y := sorry
end Set
def Class :=
set Set
namespace Class
protected instance has_subset : has_subset Class :=
has_subset.mk set.subset
protected instance has_sep : has_sep Set Class :=
has_sep.mk set.sep
protected instance has_emptyc : has_emptyc Class :=
has_emptyc.mk fun (a : Set) => False
protected instance inhabited : Inhabited Class :=
{ default := ∅ }
protected instance has_insert : has_insert Set Class :=
has_insert.mk set.insert
protected instance has_union : has_union Class :=
has_union.mk set.union
protected instance has_inter : has_inter Class :=
has_inter.mk set.inter
protected instance has_neg : Neg Class :=
{ neg := set.compl }
protected instance has_sdiff : has_sdiff Class :=
has_sdiff.mk set.diff
/-- Coerce a set into a class -/
def of_Set (x : Set) : Class :=
set_of fun (y : Set) => y ∈ x
protected instance has_coe : has_coe Set Class :=
has_coe.mk of_Set
/-- The universal class -/
def univ : Class :=
set.univ
/-- Assert that `A` is a set satisfying `p` -/
def to_Set (p : Set → Prop) (A : Class) :=
∃ (x : Set), ↑x = A ∧ p x
/-- `A ∈ B` if `A` is a set which is a member of `B` -/
protected def mem (A : Class) (B : Class) :=
to_Set B A
protected instance has_mem : has_mem Class Class :=
has_mem.mk Class.mem
theorem mem_univ {A : Class} : A ∈ univ ↔ ∃ (x : Set), ↑x = A :=
exists_congr fun (x : Set) => and_true (↑x = A)
/-- Convert a conglomerate (a collection of classes) into a class -/
def Cong_to_Class (x : set Class) : Class :=
set_of fun (y : Set) => ↑y ∈ x
/-- Convert a class into a conglomerate (a collection of classes) -/
def Class_to_Cong (x : Class) : set Class :=
set_of fun (y : Class) => y ∈ x
/-- The power class of a class is the class of all subclasses that are sets -/
def powerset (x : Class) : Class :=
Cong_to_Class (𝒫 x)
/-- The union of a class is the class of all members of sets in the class -/
def Union (x : Class) : Class :=
⋃₀Class_to_Cong x
notation:1024 "⋃" => Mathlib.Class.Union
theorem of_Set.inj {x : Set} {y : Set} (h : ↑x = ↑y) : x = y := sorry
@[simp] theorem to_Set_of_Set (p : Set → Prop) (x : Set) : to_Set p ↑x ↔ p x := sorry
@[simp] theorem mem_hom_left (x : Set) (A : Class) : ↑x ∈ A ↔ A x :=
to_Set_of_Set (fun (x : Set) => A x) x
@[simp] theorem mem_hom_right (x : Set) (y : Set) : coe y x ↔ x ∈ y :=
iff.rfl
@[simp] theorem subset_hom (x : Set) (y : Set) : ↑x ⊆ ↑y ↔ x ⊆ y :=
iff.rfl
@[simp] theorem sep_hom (p : Set → Prop) (x : Set) : ↑(has_sep.sep (fun (y : Set) => p y) x) = has_sep.sep (fun (y : Set) => p y) ↑x :=
set.ext fun (y : Set) => Set.mem_sep
@[simp] theorem empty_hom : ↑∅ = ∅ :=
set.ext
fun (y : Set) => (fun (this : y ∈ ↑∅ ↔ False) => this) (eq.mpr (id (propext (iff_false (y ∈ ↑∅)))) (Set.mem_empty y))
@[simp] theorem insert_hom (x : Set) (y : Set) : insert x ↑y = ↑(insert x y) :=
set.ext fun (z : Set) => iff.symm Set.mem_insert
@[simp] theorem union_hom (x : Set) (y : Set) : ↑x ∪ ↑y = ↑(x ∪ y) :=
set.ext fun (z : Set) => iff.symm Set.mem_union
@[simp] theorem inter_hom (x : Set) (y : Set) : ↑x ∩ ↑y = ↑(x ∩ y) :=
set.ext fun (z : Set) => iff.symm Set.mem_inter
@[simp] theorem diff_hom (x : Set) (y : Set) : ↑x \ ↑y = ↑(x \ y) :=
set.ext fun (z : Set) => iff.symm Set.mem_diff
@[simp] theorem powerset_hom (x : Set) : powerset ↑x = ↑(Set.powerset x) :=
set.ext fun (z : Set) => iff.symm Set.mem_powerset
@[simp] theorem Union_hom (x : Set) : ⋃ = ↑⋃ := sorry
/-- The definite description operator, which is {x} if `{a | p a} = {x}`
and ∅ otherwise -/
def iota (p : Set → Prop) : Class :=
⋃
theorem iota_val (p : Set → Prop) (x : Set) (H : ∀ (y : Set), p y ↔ y = x) : iota p = ↑x := sorry
/-- Unlike the other set constructors, the `iota` definite descriptor
is a set for any set input, but not constructively so, so there is no
associated `(Set → Prop) → Set` function. -/
theorem iota_ex (p : Set → Prop) : iota p ∈ univ := sorry
/-- Function value -/
def fval (F : Class) (A : Class) : Class :=
iota fun (y : Set) => to_Set (fun (x : Set) => F (Set.pair x y)) A
infixl:100 "′" => Mathlib.Class.fval
theorem fval_ex (F : Class) (A : Class) : F′A ∈ univ :=
iota_ex fun (y : Set) => to_Set (fun (x : Set) => F (Set.pair x y)) A
end Class
namespace Set
@[simp] theorem map_fval {f : Set → Set} [H : pSet.definable 1 f] {x : Set} {y : Set} (h : y ∈ x) : ↑(map f x)′↑y = ↑(f y) := sorry
/-- A choice function on the set of nonempty sets `x` -/
def choice (x : Set) : Set :=
map (fun (y : Set) => classical.epsilon fun (z : Set) => z ∈ y) x
theorem choice_mem_aux (x : Set) (h : ¬∅ ∈ x) (y : Set) (yx : y ∈ x) : (classical.epsilon fun (z : Set) => z ∈ y) ∈ y := sorry
theorem choice_is_func (x : Set) (h : ¬∅ ∈ x) : is_func x ⋃ (choice x) := sorry
theorem choice_mem (x : Set) (h : ¬∅ ∈ x) (y : Set) (yx : y ∈ x) : ↑(choice x)′↑y ∈ ↑y := sorry
|
f60f68c7f1b4921fda5bc0f48b33d7d5e8098626 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/category_theory/category/Rel.lean | bc75375e4b5d1c9caa72bd61a992f37f223b4630 | [
"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 | 860 | lean | /-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import category_theory.category.basic
/-!
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
The category of types with binary relations as morphisms.
-/
namespace category_theory
universe u
/-- A type synonym for `Type`, which carries the category instance for which
morphisms are binary relations. -/
def Rel := Type u
instance Rel.inhabited : inhabited Rel := by unfold Rel; apply_instance
/-- The category of types with binary relations as morphisms. -/
instance rel : large_category Rel :=
{ hom := λ X Y, X → Y → Prop,
id := λ X, λ x y, x = y,
comp := λ X Y Z f g x z, ∃ y, f x y ∧ g y z }
end category_theory
|
8ce0df4310c14a4ccfab02f42af83fa7e1a5920c | aa3f8992ef7806974bc1ffd468baa0c79f4d6643 | /tests/lean/bug1.lean | 9f35ec34f21be456ae8a50a368e35e05b672b879 | [
"Apache-2.0"
] | permissive | codyroux/lean | 7f8dff750722c5382bdd0a9a9275dc4bb2c58dd3 | 0cca265db19f7296531e339192e9b9bae4a31f8b | refs/heads/master | 1,610,909,964,159 | 1,407,084,399,000 | 1,416,857,075,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 638 | lean | definition bool : Type.{1} := Type.{0}
definition and (p q : bool) : bool := ∀ c : bool, (p → q → c) → c
infixl `∧`:25 := and
constant a : bool
-- Error
theorem and_intro (p q : bool) (H1 : p) (H2 : q) : a
:= fun (c : bool) (H : p -> q -> c), H H1 H2
-- Error
theorem and_intro (p q : bool) (H1 : p) (H2 : q) : p ∧ p
:= fun (c : bool) (H : p -> q -> c), H H1 H2
-- Error
theorem and_intro (p q : bool) (H1 : p) (H2 : q) : q ∧ p
:= fun (c : bool) (H : p -> q -> c), H H1 H2
-- Correct
theorem and_intro (p q : bool) (H1 : p) (H2 : q) : p ∧ q
:= fun (c : bool) (H : p -> q -> c), H H1 H2
check and_intro
|
de6a254bb230c9af07288cbe2c799ca0e6fdc243 | 86f6f4f8d827a196a32bfc646234b73328aeb306 | /examples/logic/unnamed_1677.lean | 8fa1c41536773307dccd0de267a5f42afa6347e6 | [] | no_license | jamescheuk91/mathematics_in_lean | 09f1f87d2b0dce53464ff0cbe592c568ff59cf5e | 4452499264e2975bca2f42565c0925506ba5dda3 | refs/heads/master | 1,679,716,410,967 | 1,613,957,947,000 | 1,613,957,947,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 351 | lean | import data.real.basic
-- BEGIN
example {x y : ℝ} (h : x ≤ y) : ¬ y ≤ x ↔ x ≠ y :=
begin
split,
{ contrapose!,
rintro rfl,
reflexivity },
contrapose!,
exact le_antisymm h
end
example {x y : ℝ} (h : x ≤ y) : ¬ y ≤ x ↔ x ≠ y :=
⟨λ h₀ h₁, h₀ (by rw h₁), λ h₀ h₁, h₀ (le_antisymm h h₁)⟩
-- END |
8e9265bcae0ce3b1710d99a518872b94bdb38569 | 1e561612e7479c100cd9302e3fe08cbd2914aa25 | /mathlib4_experiments/Data/Finset/Basic.lean | cd7d3f3519e24cba204d86095852a04334a91b03 | [
"Apache-2.0"
] | permissive | kbuzzard/mathlib4_experiments | 8de8ed7193f70748a7529e05d831203a7c64eedb | 87cb879b4d602c8ecfd9283b7c0b06015abdbab1 | refs/heads/master | 1,687,971,389,316 | 1,620,336,942,000 | 1,620,336,942,000 | 353,994,588 | 7 | 4 | Apache-2.0 | 1,622,410,748,000 | 1,617,361,732,000 | Lean | UTF-8 | Lean | false | false | 120,486 | lean | /-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad, Minchao Wu, Mario Carneiro
-/
--import data.multiset.finset_ops
--import tactic.monotonicity
--import tactic.apply
--import tactic.nth_rewrite
import mathlib4_experiments.Data.Multiset.Basic
/-!
# Finite sets
Terms of type `finset α` are one way of talking about finite subsets of `α` in mathlib.
Below, `finset α` is defined as a structure with 2 fields:
1. `val` is a `multiset α` of elements;
2. `nodup` is a proof that `val` has no duplicates.
Finsets in Lean are constructive in that they have an underlying `list` that enumerates their
elements. In particular, any function that uses the data of the underlying list cannot depend on its
ordering. This is handled on the `multiset` level by multiset API, so in most cases one needn't
worry about it explicitly.
Finsets give a basic foundation for defining finite sums and products over types:
1. `∑ i in (s : finset α), f i`;
2. `∏ i in (s : finset α), f i`.
Lean refers to these operations as `big_operator`s.
More information can be found in `algebra.big_operators.basic`.
Finsets are directly used to define fintypes in Lean.
A `fintype α` instance for a type `α` consists of
a universal `finset α` containing every term of `α`, called `univ`. See `data.fintype.basic`.
There is also `univ'`, the noncomputable partner to `univ`,
which is defined to be `α` as a finset if `α` is finite,
and the empty finset otherwise. See `data.fintype.basic`.
## Main declarations
### Main definitions
* `finset`: Defines a type for the finite subsets of `α`.
Constructing a `finset` requires two pieces of data: `val`, a `multiset α` of elements,
and `nodup`, a proof that `val` has no duplicates.
* `finset.has_mem`: Defines membership `a ∈ (s : finset α)`.
* `finset.has_coe`: Provides a coercion `s : finset α` to `s : set α`.
* `finset.induction_on`: Induction on finsets. To prove a proposition about an arbitrary `finset α`,
it suffices to prove it for the empty finset, and to show that if it holds for some `finset α`,
then it holds for the finset obtained by inserting a new element.
* `finset.choose`: Given a proof `h` of existence and uniqueness of a certain element
satisfying a predicate, `choose s h` returns the element of `s` satisfying that predicate.
* `finset.card`: `card s : ℕ` returns the cardinalilty of `s : finset α`.
The API for `card`'s interaction with operations on finsets is extensive.
TODO: The noncomputable sister `fincard` is about to be added into mathlib.
### Finset constructions
* `singleton`: Denoted by `{a}`; the finset consisting of one element.
* `finset.empty`: Denoted by `∅`. The finset associated to any type consisting of no elements.
* `finset.range`: For any `n : ℕ`, `range n` is equal to `{0, 1, ... , n - 1} ⊆ ℕ`.
This convention is consistent with other languages and normalizes `card (range n) = n`.
Beware, `n` is not in `range n`.
* `finset.diag`: Given `s`, `diag s` is the set of pairs `(a, a)` with `a ∈ s`. See also
`finset.off_diag`: Given a finite set `s`, the off-diagonal,
`s.off_diag` is the set of pairs `(a, b)` with `a ≠ b` for `a, b ∈ s`.
* `finset.attach`: Given `s : finset α`, `attach s` forms a finset of elements of the subtype
`{a // a ∈ s}`; in other words, it attaches elements to a proof of membership in the set.
### Finsets from functions
* `finset.image`: Given a function `f : α → β`, `s.image f` is the image finset in `β`.
* `finset.map`: Given an embedding `f : α ↪ β`, `s.map f` is the image finset in `β`.
* `finset.filter`: Given a predicate `p : α → Prop`, `s.filter p` is
the finset consisting of those elements in `s` satisfying the predicate `p`.
### The lattice structure on subsets of finsets
There is a natural lattice structure on the subsets of a set.
In Lean, we use lattice notation to talk about things involving unions and intersections. See
`order.lattice`. For the lattice structure on finsets, `⊥` is called `bot` with `⊥ = ∅` and `⊤` is
called `top` with `⊤ = univ`.
* `finset.subset`: Lots of API about lattices, otherwise behaves exactly as one would expect.
* `finset.union`: Defines `s ∪ t` (or `s ⊔ t`) as the union of `s` and `t`.
See `finset.bUnion` for finite unions.
* `finset.inter`: Defines `s ∩ t` (or `s ⊓ t`) as the intersection of `s` and `t`.
TODO: `finset.bInter` for finite intersections.
* `finset.disj_union`: Given a hypothesis `h` which states that finsets `s` and `t` are disjoint,
`s.disj_union t h` is the set such that `a ∈ disj_union s t h` iff `a ∈ s` or `a ∈ t`; this does
not require decidable equality on the type `α`.
### Operations on two or more finsets
* `finset.insert` and `finset.cons`: For any `a : α`, `insert s a` returns `s ∪ {a}`. `cons s a h`
returns the same except that it requires a hypothesis stating that `a` is not already in `s`.
This does not require decidable equality on the type `α`.
* `finset.union`: see "The lattice structure on subsets of finsets"
* `finset.inter`: see "The lattice structure on subsets of finsets"
* `finset.erase`: For any `a : α`, `erase s a` returns `s` with the element `a` removed.
* `finset.sdiff`: Defines the set difference `s \ t` for finsets `s` and `t`.
* `finset.prod`: Given finsets of `α` and `β`, defines finsets of `α × β`.
For arbitrary dependent products, see `data.finset.pi`.
* `finset.sigma`: Given finsets of `α` and `β`, defines finsets of the dependent sum type `Σ α, β`
* `finset.bUnion`: Finite unions of finsets; given an indexing function `f : α → finset β` and a
`s : finset α`, `s.bUnion f` is the union of all finsets of the form `f a` for `a ∈ s`.
* `finset.bInter`: TODO: Implemement finite intersections.
### Maps constructed using finsets
* `finset.piecewise`: Given two functions `f`, `g`, `s.piecewise f g` is a function which is equal
to `f` on `s` and `g` on the complement.
### Predicates on finsets
* `disjoint`: defined via the lattice structure on finsets; two sets are disjoint if their
intersection is empty.
* `finset.nonempty`: A finset is nonempty if it has elements.
This is equivalent to saying `s ≠ ∅`. TODO: Decide on the simp normal form.
### Equivalences between finsets
* The `data.equiv` files describe a general type of equivalence, so look in there for any lemmas.
There is some API for rewriting sums and products from `s` to `t` given that `s ≃ t`.
TODO: examples
## Tags
finite sets, finset
-/
open Multiset Subtype Nat Function
/-- `finset α` is the type of finite sets of elements of `α`. It is implemented
as a multiset (a list up to permutation) which has no duplicate elements. -/
structure finset (α) :=
(val : Multiset α)
(nodup : nodup val)
/-
TO BE PORTED
variables {α : Type*} {β : Type*} {γ : Type*}
/-- `finset α` is the type of finite sets of elements of `α`. It is implemented
as a multiset (a list up to permutation) which has no duplicate elements. -/
structure finset (α : Type*) :=
(val : multiset α)
(nodup : nodup val)
namespace finset
theorem eq_of_veq : ∀ {s t : finset α}, s.1 = t.1 → s = t
| ⟨s, _⟩ ⟨t, _⟩ rfl := rfl
@[simp] theorem val_inj {s t : finset α} : s.1 = t.1 ↔ s = t :=
⟨eq_of_veq, congr_arg _⟩
@[simp] theorem erase_dup_eq_self [decidable_eq α] (s : finset α) : erase_dup s.1 = s.1 :=
erase_dup_eq_self.2 s.2
instance has_decidable_eq [decidable_eq α] : decidable_eq (finset α)
| s₁ s₂ := decidable_of_iff _ val_inj
/-! ### membership -/
instance : has_mem α (finset α) := ⟨λ a s, a ∈ s.1⟩
theorem mem_def {a : α} {s : finset α} : a ∈ s ↔ a ∈ s.1 := iff.rfl
@[simp] theorem mem_mk {a : α} {s nd} : a ∈ @finset.mk α s nd ↔ a ∈ s := iff.rfl
instance decidable_mem [h : decidable_eq α] (a : α) (s : finset α) : decidable (a ∈ s) :=
multiset.decidable_mem _ _
/-! ### set coercion -/
/-- Convert a finset to a set in the natural way. -/
instance : has_coe_t (finset α) (set α) := ⟨λ s, {x | x ∈ s}⟩
@[simp, norm_cast] lemma mem_coe {a : α} {s : finset α} : a ∈ (s : set α) ↔ a ∈ s := iff.rfl
@[simp] lemma set_of_mem {α} {s : finset α} : {a | a ∈ s} = s := rfl
@[simp] lemma coe_mem {s : finset α} (x : (s : set α)) : ↑x ∈ s := x.2
@[simp] lemma mk_coe {s : finset α} (x : (s : set α)) {h} :
(⟨x, h⟩ : (s : set α)) = x :=
subtype.coe_eta _ _
instance decidable_mem' [decidable_eq α] (a : α) (s : finset α) :
decidable (a ∈ (s : set α)) := s.decidable_mem _
/-! ### extensionality -/
theorem ext_iff {s₁ s₂ : finset α} : s₁ = s₂ ↔ ∀ a, a ∈ s₁ ↔ a ∈ s₂ :=
val_inj.symm.trans $ nodup_ext s₁.2 s₂.2
@[ext]
theorem ext {s₁ s₂ : finset α} : (∀ a, a ∈ s₁ ↔ a ∈ s₂) → s₁ = s₂ :=
ext_iff.2
@[simp, norm_cast] theorem coe_inj {s₁ s₂ : finset α} : (s₁ : set α) = s₂ ↔ s₁ = s₂ :=
set.ext_iff.trans ext_iff.symm
lemma coe_injective {α} : injective (coe : finset α → set α) :=
λ s t, coe_inj.1
/-! ### subset -/
instance : has_subset (finset α) := ⟨λ s₁ s₂, ∀ ⦃a⦄, a ∈ s₁ → a ∈ s₂⟩
theorem subset_def {s₁ s₂ : finset α} : s₁ ⊆ s₂ ↔ s₁.1 ⊆ s₂.1 := iff.rfl
@[simp] theorem subset.refl (s : finset α) : s ⊆ s := subset.refl _
theorem subset_of_eq {s t : finset α} (h : s = t) : s ⊆ t := h ▸ subset.refl _
theorem subset.trans {s₁ s₂ s₃ : finset α} : s₁ ⊆ s₂ → s₂ ⊆ s₃ → s₁ ⊆ s₃ := subset.trans
theorem superset.trans {s₁ s₂ s₃ : finset α} : s₁ ⊇ s₂ → s₂ ⊇ s₃ → s₁ ⊇ s₃ :=
λ h' h, subset.trans h h'
-- TODO: these should be global attributes, but this will require fixing other files
local attribute [trans] subset.trans superset.trans
theorem mem_of_subset {s₁ s₂ : finset α} {a : α} : s₁ ⊆ s₂ → a ∈ s₁ → a ∈ s₂ := mem_of_subset
theorem subset.antisymm {s₁ s₂ : finset α} (H₁ : s₁ ⊆ s₂) (H₂ : s₂ ⊆ s₁) : s₁ = s₂ :=
ext $ λ a, ⟨@H₁ a, @H₂ a⟩
theorem subset_iff {s₁ s₂ : finset α} : s₁ ⊆ s₂ ↔ ∀ ⦃x⦄, x ∈ s₁ → x ∈ s₂ := iff.rfl
@[simp, norm_cast] theorem coe_subset {s₁ s₂ : finset α} :
(s₁ : set α) ⊆ s₂ ↔ s₁ ⊆ s₂ := iff.rfl
@[simp] theorem val_le_iff {s₁ s₂ : finset α} : s₁.1 ≤ s₂.1 ↔ s₁ ⊆ s₂ := le_iff_subset s₁.2
instance : has_ssubset (finset α) := ⟨λa b, a ⊆ b ∧ ¬ b ⊆ a⟩
instance : partial_order (finset α) :=
{ le := (⊆),
lt := (⊂),
le_refl := subset.refl,
le_trans := @subset.trans _,
le_antisymm := @subset.antisymm _ }
theorem subset.antisymm_iff {s₁ s₂ : finset α} : s₁ = s₂ ↔ s₁ ⊆ s₂ ∧ s₂ ⊆ s₁ :=
le_antisymm_iff
@[simp] theorem le_eq_subset : ((≤) : finset α → finset α → Prop) = (⊆) := rfl
@[simp] theorem lt_eq_subset : ((<) : finset α → finset α → Prop) = (⊂) := rfl
theorem le_iff_subset {s₁ s₂ : finset α} : s₁ ≤ s₂ ↔ s₁ ⊆ s₂ := iff.rfl
theorem lt_iff_ssubset {s₁ s₂ : finset α} : s₁ < s₂ ↔ s₁ ⊂ s₂ := iff.rfl
@[simp, norm_cast] lemma coe_ssubset {s₁ s₂ : finset α} : (s₁ : set α) ⊂ s₂ ↔ s₁ ⊂ s₂ :=
show (s₁ : set α) ⊂ s₂ ↔ s₁ ⊆ s₂ ∧ ¬s₂ ⊆ s₁,
by simp only [set.ssubset_def, finset.coe_subset]
@[simp] theorem val_lt_iff {s₁ s₂ : finset α} : s₁.1 < s₂.1 ↔ s₁ ⊂ s₂ :=
and_congr val_le_iff $ not_congr val_le_iff
theorem ssubset_iff_of_subset {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : s₁ ⊂ s₂ ↔ ∃ x ∈ s₂, x ∉ s₁ :=
set.ssubset_iff_of_subset h
lemma ssubset_of_ssubset_of_subset {s₁ s₂ s₃ : finset α} (hs₁s₂ : s₁ ⊂ s₂) (hs₂s₃ : s₂ ⊆ s₃) :
s₁ ⊂ s₃ :=
set.ssubset_of_ssubset_of_subset hs₁s₂ hs₂s₃
lemma ssubset_of_subset_of_ssubset {s₁ s₂ s₃ : finset α} (hs₁s₂ : s₁ ⊆ s₂) (hs₂s₃ : s₂ ⊂ s₃) :
s₁ ⊂ s₃ :=
set.ssubset_of_subset_of_ssubset hs₁s₂ hs₂s₃
lemma exists_of_ssubset {s₁ s₂ : finset α} (h : s₁ ⊂ s₂) :
∃ x ∈ s₂, x ∉ s₁ :=
set.exists_of_ssubset h
/-! ### Nonempty -/
/-- The property `s.nonempty` expresses the fact that the finset `s` is not empty. It should be used
in theorem assumptions instead of `∃ x, x ∈ s` or `s ≠ ∅` as it gives access to a nice API thanks
to the dot notation. -/
protected def nonempty (s : finset α) : Prop := ∃ x:α, x ∈ s
@[simp, norm_cast] lemma coe_nonempty {s : finset α} : (s:set α).nonempty ↔ s.nonempty := iff.rfl
lemma nonempty.bex {s : finset α} (h : s.nonempty) : ∃ x:α, x ∈ s := h
lemma nonempty.mono {s t : finset α} (hst : s ⊆ t) (hs : s.nonempty) : t.nonempty :=
set.nonempty.mono hst hs
lemma nonempty.forall_const {s : finset α} (h : s.nonempty) {p : Prop} : (∀ x ∈ s, p) ↔ p :=
let ⟨x, hx⟩ := h in ⟨λ h, h x hx, λ h x hx, h⟩
/-! ### empty -/
/-- The empty finset -/
protected def empty : finset α := ⟨0, nodup_zero⟩
instance : has_emptyc (finset α) := ⟨finset.empty⟩
instance inhabited_finset : inhabited (finset α) := ⟨∅⟩
@[simp] theorem empty_val : (∅ : finset α).1 = 0 := rfl
@[simp] theorem not_mem_empty (a : α) : a ∉ (∅ : finset α) := id
@[simp] theorem not_nonempty_empty : ¬(∅ : finset α).nonempty :=
λ ⟨x, hx⟩, not_mem_empty x hx
@[simp] theorem mk_zero : (⟨0, nodup_zero⟩ : finset α) = ∅ := rfl
theorem ne_empty_of_mem {a : α} {s : finset α} (h : a ∈ s) : s ≠ ∅ :=
λ e, not_mem_empty a $ e ▸ h
theorem nonempty.ne_empty {s : finset α} (h : s.nonempty) : s ≠ ∅ :=
exists.elim h $ λ a, ne_empty_of_mem
@[simp] theorem empty_subset (s : finset α) : ∅ ⊆ s := zero_subset _
theorem eq_empty_of_forall_not_mem {s : finset α} (H : ∀x, x ∉ s) : s = ∅ :=
eq_of_veq (eq_zero_of_forall_not_mem H)
lemma eq_empty_iff_forall_not_mem {s : finset α} : s = ∅ ↔ ∀ x, x ∉ s :=
⟨by rintro rfl x; exact id, λ h, eq_empty_of_forall_not_mem h⟩
@[simp] theorem val_eq_zero {s : finset α} : s.1 = 0 ↔ s = ∅ := @val_inj _ s ∅
theorem subset_empty {s : finset α} : s ⊆ ∅ ↔ s = ∅ := subset_zero.trans val_eq_zero
theorem nonempty_of_ne_empty {s : finset α} (h : s ≠ ∅) : s.nonempty :=
exists_mem_of_ne_zero (mt val_eq_zero.1 h)
theorem nonempty_iff_ne_empty {s : finset α} : s.nonempty ↔ s ≠ ∅ :=
⟨nonempty.ne_empty, nonempty_of_ne_empty⟩
@[simp] theorem not_nonempty_iff_eq_empty {s : finset α} : ¬s.nonempty ↔ s = ∅ :=
by { rw nonempty_iff_ne_empty, exact not_not, }
theorem eq_empty_or_nonempty (s : finset α) : s = ∅ ∨ s.nonempty :=
classical.by_cases or.inl (λ h, or.inr (nonempty_of_ne_empty h))
@[simp, norm_cast] lemma coe_empty : ((∅ : finset α) : set α) = ∅ := rfl
@[simp, norm_cast] lemma coe_eq_empty {s : finset α} :
(s : set α) = ∅ ↔ s = ∅ :=
by rw [← coe_empty, coe_inj]
/-- A `finset` for an empty type is empty. -/
lemma eq_empty_of_not_nonempty (h : ¬ nonempty α) (s : finset α) : s = ∅ :=
finset.eq_empty_of_forall_not_mem $ λ x, false.elim $ not_nonempty_iff_imp_false.1 h x
/-! ### singleton -/
/--
`{a} : finset a` is the set `{a}` containing `a` and nothing else.
This differs from `insert a ∅` in that it does not require a `decidable_eq` instance for `α`.
-/
instance : has_singleton α (finset α) := ⟨λ a, ⟨{a}, nodup_singleton a⟩⟩
@[simp] theorem singleton_val (a : α) : ({a} : finset α).1 = a ::ₘ 0 := rfl
@[simp] theorem mem_singleton {a b : α} : b ∈ ({a} : finset α) ↔ b = a := mem_singleton
theorem not_mem_singleton {a b : α} : a ∉ ({b} : finset α) ↔ a ≠ b := not_congr mem_singleton
theorem mem_singleton_self (a : α) : a ∈ ({a} : finset α) := or.inl rfl
theorem singleton_inj {a b : α} : ({a} : finset α) = {b} ↔ a = b :=
⟨λ h, mem_singleton.1 (h ▸ mem_singleton_self _), congr_arg _⟩
@[simp] theorem singleton_nonempty (a : α) : ({a} : finset α).nonempty := ⟨a, mem_singleton_self a⟩
@[simp] theorem singleton_ne_empty (a : α) : ({a} : finset α) ≠ ∅ := (singleton_nonempty a).ne_empty
@[simp, norm_cast] lemma coe_singleton (a : α) : (({a} : finset α) : set α) = {a} :=
by { ext, simp }
lemma eq_singleton_iff_unique_mem {s : finset α} {a : α} :
s = {a} ↔ a ∈ s ∧ ∀ x ∈ s, x = a :=
begin
split; intro t,
rw t,
refine ⟨finset.mem_singleton_self _, λ _, finset.mem_singleton.1⟩,
ext, rw finset.mem_singleton,
refine ⟨t.right _, λ r, r.symm ▸ t.left⟩
end
lemma eq_singleton_iff_nonempty_unique_mem {s : finset α} {a : α} :
s = {a} ↔ s.nonempty ∧ ∀ x ∈ s, x = a :=
begin
split,
{ intros h, subst h, simp, },
{ rintros ⟨hne, h_uniq⟩, rw eq_singleton_iff_unique_mem, refine ⟨_, h_uniq⟩,
rw ← h_uniq hne.some hne.some_spec, apply hne.some_spec, },
end
lemma singleton_iff_unique_mem (s : finset α) : (∃ a, s = {a}) ↔ ∃! a, a ∈ s :=
by simp only [eq_singleton_iff_unique_mem, exists_unique]
lemma singleton_subset_set_iff {s : set α} {a : α} :
↑({a} : finset α) ⊆ s ↔ a ∈ s :=
by rw [coe_singleton, set.singleton_subset_iff]
@[simp] lemma singleton_subset_iff {s : finset α} {a : α} :
{a} ⊆ s ↔ a ∈ s :=
singleton_subset_set_iff
@[simp] lemma subset_singleton_iff {s : finset α} {a : α} : s ⊆ {a} ↔ s = ∅ ∨ s = {a} :=
begin
split,
{ intro hs,
apply or.imp_right _ s.eq_empty_or_nonempty,
rintro ⟨t, ht⟩,
apply subset.antisymm hs,
rwa [singleton_subset_iff, ←mem_singleton.1 (hs ht)] },
rintro (rfl | rfl),
{ exact empty_subset _ },
exact subset.refl _,
end
@[simp] lemma ssubset_singleton_iff {s : finset α} {a : α} :
s ⊂ {a} ↔ s = ∅ :=
by rw [←coe_ssubset, coe_singleton, set.ssubset_singleton_iff, coe_eq_empty]
lemma eq_empty_of_ssubset_singleton {s : finset α} {x : α} (hs : s ⊂ {x}) : s = ∅ :=
ssubset_singleton_iff.1 hs
/-! ### cons -/
/-- `cons a s h` is the set `{a} ∪ s` containing `a` and the elements of `s`. It is the same as
`insert a s` when it is defined, but unlike `insert a s` it does not require `decidable_eq α`,
and the union is guaranteed to be disjoint. -/
def cons {α} (a : α) (s : finset α) (h : a ∉ s) : finset α :=
⟨a ::ₘ s.1, multiset.nodup_cons.2 ⟨h, s.2⟩⟩
@[simp] theorem mem_cons {α a s h b} : b ∈ @cons α a s h ↔ b = a ∨ b ∈ s :=
by rcases s with ⟨⟨s⟩⟩; apply list.mem_cons_iff
@[simp] theorem cons_val {a : α} {s : finset α} (h : a ∉ s) : (cons a s h).1 = a ::ₘ s.1 := rfl
@[simp] theorem mk_cons {a : α} {s : multiset α} (h : (a ::ₘ s).nodup) :
(⟨a ::ₘ s, h⟩ : finset α) = cons a ⟨s, (multiset.nodup_cons.1 h).2⟩ (multiset.nodup_cons.1 h).1 :=
rfl
@[simp] theorem nonempty_cons {a : α} {s : finset α} (h : a ∉ s) : (cons a s h).nonempty :=
⟨a, mem_cons.2 (or.inl rfl)⟩
@[simp] lemma nonempty_mk_coe : ∀ {l : list α} {hl}, (⟨↑l, hl⟩ : finset α).nonempty ↔ l ≠ []
| [] hl := by simp
| (a::l) hl := by simp [← multiset.cons_coe]
/-! ### disjoint union -/
/-- `disj_union s t h` is the set such that `a ∈ disj_union s t h` iff `a ∈ s` or `a ∈ t`.
It is the same as `s ∪ t`, but it does not require decidable equality on the type. The hypothesis
ensures that the sets are disjoint. -/
def disj_union {α} (s t : finset α) (h : ∀ a ∈ s, a ∉ t) : finset α :=
⟨s.1 + t.1, multiset.nodup_add.2 ⟨s.2, t.2, h⟩⟩
@[simp] theorem mem_disj_union {α s t h a} :
a ∈ @disj_union α s t h ↔ a ∈ s ∨ a ∈ t :=
by rcases s with ⟨⟨s⟩⟩; rcases t with ⟨⟨t⟩⟩; apply list.mem_append
/-! ### insert -/
section decidable_eq
variables [decidable_eq α]
/-- `insert a s` is the set `{a} ∪ s` containing `a` and the elements of `s`. -/
instance : has_insert α (finset α) := ⟨λ a s, ⟨_, nodup_ndinsert a s.2⟩⟩
theorem insert_def (a : α) (s : finset α) : insert a s = ⟨_, nodup_ndinsert a s.2⟩ := rfl
@[simp] theorem insert_val (a : α) (s : finset α) : (insert a s).1 = ndinsert a s.1 := rfl
theorem insert_val' (a : α) (s : finset α) : (insert a s).1 = erase_dup (a ::ₘ s.1) :=
by rw [erase_dup_cons, erase_dup_eq_self]; refl
theorem insert_val_of_not_mem {a : α} {s : finset α} (h : a ∉ s) : (insert a s).1 = a ::ₘ s.1 :=
by rw [insert_val, ndinsert_of_not_mem h]
@[simp] theorem mem_insert {a b : α} {s : finset α} : a ∈ insert b s ↔ a = b ∨ a ∈ s := mem_ndinsert
theorem mem_insert_self (a : α) (s : finset α) : a ∈ insert a s := mem_ndinsert_self a s.1
theorem mem_insert_of_mem {a b : α} {s : finset α} (h : a ∈ s) : a ∈ insert b s :=
mem_ndinsert_of_mem h
theorem mem_of_mem_insert_of_ne {a b : α} {s : finset α} (h : b ∈ insert a s) : b ≠ a → b ∈ s :=
(mem_insert.1 h).resolve_left
@[simp] theorem cons_eq_insert {α} [decidable_eq α] (a s h) : @cons α a s h = insert a s :=
ext $ λ a, by simp
@[simp, norm_cast] lemma coe_insert (a : α) (s : finset α) :
↑(insert a s) = (insert a s : set α) :=
set.ext $ λ x, by simp only [mem_coe, mem_insert, set.mem_insert_iff]
lemma mem_insert_coe {s : finset α} {x y : α} : x ∈ insert y s ↔ x ∈ insert y (s : set α) :=
by simp
instance : is_lawful_singleton α (finset α) := ⟨λ a, by { ext, simp }⟩
@[simp] theorem insert_eq_of_mem {a : α} {s : finset α} (h : a ∈ s) : insert a s = s :=
eq_of_veq $ ndinsert_of_mem h
@[simp] theorem insert_singleton_self_eq (a : α) : ({a, a} : finset α) = {a} :=
insert_eq_of_mem $ mem_singleton_self _
theorem insert.comm (a b : α) (s : finset α) : insert a (insert b s) = insert b (insert a s) :=
ext $ λ x, by simp only [mem_insert, or.left_comm]
theorem insert_singleton_comm (a b : α) : ({a, b} : finset α) = {b, a} :=
begin
ext,
simp [or.comm]
end
@[simp] theorem insert_idem (a : α) (s : finset α) : insert a (insert a s) = insert a s :=
ext $ λ x, by simp only [mem_insert, or.assoc.symm, or_self]
@[simp] theorem insert_nonempty (a : α) (s : finset α) : (insert a s).nonempty :=
⟨a, mem_insert_self a s⟩
@[simp] theorem insert_ne_empty (a : α) (s : finset α) : insert a s ≠ ∅ :=
(insert_nonempty a s).ne_empty
section
universe u
/-!
The universe annotation is required for the following instance, possibly this is a bug in Lean. See
leanprover.zulipchat.com/#narrow/stream/113488-general/topic/strange.20error.20(universe.20issue.3F)
-/
instance {α : Type u} [decidable_eq α] (i : α) (s : finset α) :
nonempty.{u + 1} ((insert i s : finset α) : set α) :=
(finset.coe_nonempty.mpr (s.insert_nonempty i)).to_subtype
end
lemma ne_insert_of_not_mem (s t : finset α) {a : α} (h : a ∉ s) :
s ≠ insert a t :=
by { contrapose! h, simp [h] }
theorem insert_subset {a : α} {s t : finset α} : insert a s ⊆ t ↔ a ∈ t ∧ s ⊆ t :=
by simp only [subset_iff, mem_insert, forall_eq, or_imp_distrib, forall_and_distrib]
theorem subset_insert (a : α) (s : finset α) : s ⊆ insert a s :=
λ b, mem_insert_of_mem
theorem insert_subset_insert (a : α) {s t : finset α} (h : s ⊆ t) : insert a s ⊆ insert a t :=
insert_subset.2 ⟨mem_insert_self _ _, subset.trans h (subset_insert _ _)⟩
lemma ssubset_iff {s t : finset α} : s ⊂ t ↔ (∃a ∉ s, insert a s ⊆ t) :=
by exact_mod_cast @set.ssubset_iff_insert α s t
lemma ssubset_insert {s : finset α} {a : α} (h : a ∉ s) : s ⊂ insert a s :=
ssubset_iff.mpr ⟨a, h, subset.refl _⟩
@[elab_as_eliminator]
lemma cons_induction {α : Type*} {p : finset α → Prop}
(h₁ : p ∅) (h₂ : ∀ ⦃a : α⦄ {s : finset α} (h : a ∉ s), p s → p (cons a s h)) : ∀ s, p s
| ⟨s, nd⟩ := multiset.induction_on s (λ _, h₁) (λ a s IH nd, begin
cases nodup_cons.1 nd with m nd',
rw [← (eq_of_veq _ : cons a (finset.mk s _) m = ⟨a ::ₘ s, nd⟩)],
{ exact h₂ (by exact m) (IH nd') },
{ rw [cons_val] }
end) nd
@[elab_as_eliminator]
lemma cons_induction_on {α : Type*} {p : finset α → Prop} (s : finset α)
(h₁ : p ∅) (h₂ : ∀ ⦃a : α⦄ {s : finset α} (h : a ∉ s), p s → p (cons a s h)) : p s :=
cons_induction h₁ h₂ s
@[elab_as_eliminator]
protected theorem induction {α : Type*} {p : finset α → Prop} [decidable_eq α]
(h₁ : p ∅) (h₂ : ∀ ⦃a : α⦄ {s : finset α}, a ∉ s → p s → p (insert a s)) : ∀ s, p s :=
cons_induction h₁ $ λ a s ha, (s.cons_eq_insert a ha).symm ▸ h₂ ha
/--
To prove a proposition about an arbitrary `finset α`,
it suffices to prove it for the empty `finset`,
and to show that if it holds for some `finset α`,
then it holds for the `finset` obtained by inserting a new element.
-/
@[elab_as_eliminator]
protected theorem induction_on {α : Type*} {p : finset α → Prop} [decidable_eq α]
(s : finset α) (h₁ : p ∅) (h₂ : ∀ ⦃a : α⦄ {s : finset α}, a ∉ s → p s → p (insert a s)) : p s :=
finset.induction h₁ h₂ s
/--
To prove a proposition about `S : finset α`,
it suffices to prove it for the empty `finset`,
and to show that if it holds for some `finset α ⊆ S`,
then it holds for the `finset` obtained by inserting a new element of `S`.
-/
@[elab_as_eliminator]
theorem induction_on' {α : Type*} {p : finset α → Prop} [decidable_eq α]
(S : finset α) (h₁ : p ∅) (h₂ : ∀ {a s}, a ∈ S → s ⊆ S → a ∉ s → p s → p (insert a s)) : p S :=
@finset.induction_on α (λ T, T ⊆ S → p T) _ S (λ _, h₁) (λ a s has hqs hs,
let ⟨hS, sS⟩ := finset.insert_subset.1 hs in h₂ hS sS has (hqs sS)) (finset.subset.refl S)
/-- Inserting an element to a finite set is equivalent to the option type. -/
def subtype_insert_equiv_option {t : finset α} {x : α} (h : x ∉ t) :
{i // i ∈ insert x t} ≃ option {i // i ∈ t} :=
begin
refine
{ to_fun := λ y, if h : ↑y = x then none else some ⟨y, (mem_insert.mp y.2).resolve_left h⟩,
inv_fun := λ y, y.elim ⟨x, mem_insert_self _ _⟩ $ λ z, ⟨z, mem_insert_of_mem z.2⟩,
.. },
{ intro y, by_cases h : ↑y = x,
simp only [subtype.ext_iff, h, option.elim, dif_pos, subtype.coe_mk],
simp only [h, option.elim, dif_neg, not_false_iff, subtype.coe_eta, subtype.coe_mk] },
{ rintro (_|y), simp only [option.elim, dif_pos, subtype.coe_mk],
have : ↑y ≠ x, { rintro ⟨⟩, exact h y.2 },
simp only [this, option.elim, subtype.eta, dif_neg, not_false_iff, subtype.coe_eta,
subtype.coe_mk] },
end
/-! ### union -/
/-- `s ∪ t` is the set such that `a ∈ s ∪ t` iff `a ∈ s` or `a ∈ t`. -/
instance : has_union (finset α) := ⟨λ s₁ s₂, ⟨_, nodup_ndunion s₁.1 s₂.2⟩⟩
theorem union_val_nd (s₁ s₂ : finset α) : (s₁ ∪ s₂).1 = ndunion s₁.1 s₂.1 := rfl
@[simp] theorem union_val (s₁ s₂ : finset α) : (s₁ ∪ s₂).1 = s₁.1 ∪ s₂.1 :=
ndunion_eq_union s₁.2
@[simp] theorem mem_union {a : α} {s₁ s₂ : finset α} : a ∈ s₁ ∪ s₂ ↔ a ∈ s₁ ∨ a ∈ s₂ := mem_ndunion
@[simp] theorem disj_union_eq_union {α} [decidable_eq α] (s t h) : @disj_union α s t h = s ∪ t :=
ext $ λ a, by simp
theorem mem_union_left {a : α} {s₁ : finset α} (s₂ : finset α) (h : a ∈ s₁) : a ∈ s₁ ∪ s₂ :=
mem_union.2 $ or.inl h
theorem mem_union_right {a : α} {s₂ : finset α} (s₁ : finset α) (h : a ∈ s₂) : a ∈ s₁ ∪ s₂ :=
mem_union.2 $ or.inr h
theorem forall_mem_union {s₁ s₂ : finset α} {p : α → Prop} :
(∀ ab ∈ (s₁ ∪ s₂), p ab) ↔ (∀ a ∈ s₁, p a) ∧ (∀ b ∈ s₂, p b) :=
⟨λ h, ⟨λ a, h a ∘ mem_union_left _, λ b, h b ∘ mem_union_right _⟩,
λ h ab hab, (mem_union.mp hab).elim (h.1 _) (h.2 _)⟩
theorem not_mem_union {a : α} {s₁ s₂ : finset α} : a ∉ s₁ ∪ s₂ ↔ a ∉ s₁ ∧ a ∉ s₂ :=
by rw [mem_union, not_or_distrib]
@[simp, norm_cast]
lemma coe_union (s₁ s₂ : finset α) : ↑(s₁ ∪ s₂) = (s₁ ∪ s₂ : set α) := set.ext $ λ x, mem_union
theorem union_subset {s₁ s₂ s₃ : finset α} (h₁ : s₁ ⊆ s₃) (h₂ : s₂ ⊆ s₃) : s₁ ∪ s₂ ⊆ s₃ :=
val_le_iff.1 (ndunion_le.2 ⟨h₁, val_le_iff.2 h₂⟩)
theorem subset_union_left (s₁ s₂ : finset α) : s₁ ⊆ s₁ ∪ s₂ := λ x, mem_union_left _
theorem subset_union_right (s₁ s₂ : finset α) : s₂ ⊆ s₁ ∪ s₂ := λ x, mem_union_right _
lemma union_subset_union {s₁ t₁ s₂ t₂ : finset α} (h₁ : s₁ ⊆ t₁) (h₂ : s₂ ⊆ t₂) :
s₁ ∪ s₂ ⊆ t₁ ∪ t₂ :=
by { intros x hx, rw finset.mem_union at hx ⊢, tauto }
theorem union_comm (s₁ s₂ : finset α) : s₁ ∪ s₂ = s₂ ∪ s₁ :=
ext $ λ x, by simp only [mem_union, or_comm]
instance : is_commutative (finset α) (∪) := ⟨union_comm⟩
@[simp] theorem union_assoc (s₁ s₂ s₃ : finset α) : (s₁ ∪ s₂) ∪ s₃ = s₁ ∪ (s₂ ∪ s₃) :=
ext $ λ x, by simp only [mem_union, or_assoc]
instance : is_associative (finset α) (∪) := ⟨union_assoc⟩
@[simp] theorem union_idempotent (s : finset α) : s ∪ s = s :=
ext $ λ _, mem_union.trans $ or_self _
instance : is_idempotent (finset α) (∪) := ⟨union_idempotent⟩
theorem union_left_comm (s₁ s₂ s₃ : finset α) : s₁ ∪ (s₂ ∪ s₃) = s₂ ∪ (s₁ ∪ s₃) :=
ext $ λ _, by simp only [mem_union, or.left_comm]
theorem union_right_comm (s₁ s₂ s₃ : finset α) : (s₁ ∪ s₂) ∪ s₃ = (s₁ ∪ s₃) ∪ s₂ :=
ext $ λ x, by simp only [mem_union, or_assoc, or_comm (x ∈ s₂)]
theorem union_self (s : finset α) : s ∪ s = s := union_idempotent s
@[simp] theorem union_empty (s : finset α) : s ∪ ∅ = s :=
ext $ λ x, mem_union.trans $ or_false _
@[simp] theorem empty_union (s : finset α) : ∅ ∪ s = s :=
ext $ λ x, mem_union.trans $ false_or _
theorem insert_eq (a : α) (s : finset α) : insert a s = {a} ∪ s := rfl
@[simp] theorem insert_union (a : α) (s t : finset α) : insert a s ∪ t = insert a (s ∪ t) :=
by simp only [insert_eq, union_assoc]
@[simp] theorem union_insert (a : α) (s t : finset α) : s ∪ insert a t = insert a (s ∪ t) :=
by simp only [insert_eq, union_left_comm]
theorem insert_union_distrib (a : α) (s t : finset α) :
insert a (s ∪ t) = insert a s ∪ insert a t :=
by simp only [insert_union, union_insert, insert_idem]
@[simp] lemma union_eq_left_iff_subset {s t : finset α} :
s ∪ t = s ↔ t ⊆ s :=
begin
split,
{ assume h,
have : t ⊆ s ∪ t := subset_union_right _ _,
rwa h at this },
{ assume h,
exact subset.antisymm (union_subset (subset.refl _) h) (subset_union_left _ _) }
end
@[simp] lemma left_eq_union_iff_subset {s t : finset α} :
s = s ∪ t ↔ t ⊆ s :=
by rw [← union_eq_left_iff_subset, eq_comm]
@[simp] lemma union_eq_right_iff_subset {s t : finset α} :
t ∪ s = s ↔ t ⊆ s :=
by rw [union_comm, union_eq_left_iff_subset]
@[simp] lemma right_eq_union_iff_subset {s t : finset α} :
s = t ∪ s ↔ t ⊆ s :=
by rw [← union_eq_right_iff_subset, eq_comm]
/--
To prove a relation on pairs of `finset X`, it suffices to show that it is
* symmetric,
* it holds when one of the `finset`s is empty,
* it holds for pairs of singletons,
* if it holds for `[a, c]` and for `[b, c]`, then it holds for `[a ∪ b, c]`.
-/
lemma induction_on_union (P : finset α → finset α → Prop)
(symm : ∀ {a b}, P a b → P b a)
(empty_right : ∀ {a}, P a ∅)
(singletons : ∀ {a b}, P {a} {b})
(union_of : ∀ {a b c}, P a c → P b c → P (a ∪ b) c) :
∀ a b, P a b :=
begin
intros a b,
refine finset.induction_on b empty_right (λ x s xs hi, symm _),
rw finset.insert_eq,
apply union_of _ (symm hi),
refine finset.induction_on a empty_right (λ a t ta hi, symm _),
rw finset.insert_eq,
exact union_of singletons (symm hi),
end
lemma exists_mem_subset_of_subset_bUnion_of_directed_on {α ι : Type*}
{f : ι → set α} {c : set ι} {a : ι} (hac : a ∈ c) (hc : directed_on (λ i j, f i ⊆ f j) c)
{s : finset α} (hs : (s : set α) ⊆ ⋃ i ∈ c, f i) : ∃ i ∈ c, (s : set α) ⊆ f i :=
begin
classical,
revert hs,
apply s.induction_on,
{ intros,
use [a, hac],
simp },
{ intros b t hbt htc hbtc,
obtain ⟨i : ι , hic : i ∈ c, hti : (t : set α) ⊆ f i⟩ :=
htc (set.subset.trans (t.subset_insert b) hbtc),
obtain ⟨j, hjc, hbj⟩ : ∃ j ∈ c, b ∈ f j,
by simpa [set.mem_bUnion_iff] using hbtc (t.mem_insert_self b),
rcases hc j hjc i hic with ⟨k, hkc, hk, hk'⟩,
use [k, hkc],
rw [coe_insert, set.insert_subset],
exact ⟨hk hbj, trans hti hk'⟩ }
end
/-! ### inter -/
/-- `s ∩ t` is the set such that `a ∈ s ∩ t` iff `a ∈ s` and `a ∈ t`. -/
instance : has_inter (finset α) := ⟨λ s₁ s₂, ⟨_, nodup_ndinter s₂.1 s₁.2⟩⟩
-- TODO: some of these results may have simpler proofs, once there are enough results
-- to obtain the `lattice` instance.
theorem inter_val_nd (s₁ s₂ : finset α) : (s₁ ∩ s₂).1 = ndinter s₁.1 s₂.1 := rfl
@[simp] theorem inter_val (s₁ s₂ : finset α) : (s₁ ∩ s₂).1 = s₁.1 ∩ s₂.1 :=
ndinter_eq_inter s₁.2
@[simp] theorem mem_inter {a : α} {s₁ s₂ : finset α} : a ∈ s₁ ∩ s₂ ↔ a ∈ s₁ ∧ a ∈ s₂ := mem_ndinter
theorem mem_of_mem_inter_left {a : α} {s₁ s₂ : finset α} (h : a ∈ s₁ ∩ s₂) :
a ∈ s₁ := (mem_inter.1 h).1
theorem mem_of_mem_inter_right {a : α} {s₁ s₂ : finset α} (h : a ∈ s₁ ∩ s₂) :
a ∈ s₂ := (mem_inter.1 h).2
theorem mem_inter_of_mem {a : α} {s₁ s₂ : finset α} : a ∈ s₁ → a ∈ s₂ → a ∈ s₁ ∩ s₂ :=
and_imp.1 mem_inter.2
theorem inter_subset_left (s₁ s₂ : finset α) : s₁ ∩ s₂ ⊆ s₁ := λ a, mem_of_mem_inter_left
theorem inter_subset_right (s₁ s₂ : finset α) : s₁ ∩ s₂ ⊆ s₂ := λ a, mem_of_mem_inter_right
theorem subset_inter {s₁ s₂ s₃ : finset α} : s₁ ⊆ s₂ → s₁ ⊆ s₃ → s₁ ⊆ s₂ ∩ s₃ :=
by simp only [subset_iff, mem_inter] {contextual:=tt}; intros; split; trivial
@[simp, norm_cast]
lemma coe_inter (s₁ s₂ : finset α) : ↑(s₁ ∩ s₂) = (s₁ ∩ s₂ : set α) := set.ext $ λ _, mem_inter
@[simp] theorem union_inter_cancel_left {s t : finset α} : (s ∪ t) ∩ s = s :=
by rw [← coe_inj, coe_inter, coe_union, set.union_inter_cancel_left]
@[simp] theorem union_inter_cancel_right {s t : finset α} : (s ∪ t) ∩ t = t :=
by rw [← coe_inj, coe_inter, coe_union, set.union_inter_cancel_right]
theorem inter_comm (s₁ s₂ : finset α) : s₁ ∩ s₂ = s₂ ∩ s₁ :=
ext $ λ _, by simp only [mem_inter, and_comm]
@[simp] theorem inter_assoc (s₁ s₂ s₃ : finset α) : (s₁ ∩ s₂) ∩ s₃ = s₁ ∩ (s₂ ∩ s₃) :=
ext $ λ _, by simp only [mem_inter, and_assoc]
theorem inter_left_comm (s₁ s₂ s₃ : finset α) : s₁ ∩ (s₂ ∩ s₃) = s₂ ∩ (s₁ ∩ s₃) :=
ext $ λ _, by simp only [mem_inter, and.left_comm]
theorem inter_right_comm (s₁ s₂ s₃ : finset α) : (s₁ ∩ s₂) ∩ s₃ = (s₁ ∩ s₃) ∩ s₂ :=
ext $ λ _, by simp only [mem_inter, and.right_comm]
@[simp] theorem inter_self (s : finset α) : s ∩ s = s :=
ext $ λ _, mem_inter.trans $ and_self _
@[simp] theorem inter_empty (s : finset α) : s ∩ ∅ = ∅ :=
ext $ λ _, mem_inter.trans $ and_false _
@[simp] theorem empty_inter (s : finset α) : ∅ ∩ s = ∅ :=
ext $ λ _, mem_inter.trans $ false_and _
@[simp] lemma inter_union_self (s t : finset α) : s ∩ (t ∪ s) = s :=
by rw [inter_comm, union_inter_cancel_right]
@[simp] theorem insert_inter_of_mem {s₁ s₂ : finset α} {a : α} (h : a ∈ s₂) :
insert a s₁ ∩ s₂ = insert a (s₁ ∩ s₂) :=
ext $ λ x, have x = a ∨ x ∈ s₂ ↔ x ∈ s₂, from or_iff_right_of_imp $ by rintro rfl; exact h,
by simp only [mem_inter, mem_insert, or_and_distrib_left, this]
@[simp] theorem inter_insert_of_mem {s₁ s₂ : finset α} {a : α} (h : a ∈ s₁) :
s₁ ∩ insert a s₂ = insert a (s₁ ∩ s₂) :=
by rw [inter_comm, insert_inter_of_mem h, inter_comm]
@[simp] theorem insert_inter_of_not_mem {s₁ s₂ : finset α} {a : α} (h : a ∉ s₂) :
insert a s₁ ∩ s₂ = s₁ ∩ s₂ :=
ext $ λ x, have ¬ (x = a ∧ x ∈ s₂), by rintro ⟨rfl, H⟩; exact h H,
by simp only [mem_inter, mem_insert, or_and_distrib_right, this, false_or]
@[simp] theorem inter_insert_of_not_mem {s₁ s₂ : finset α} {a : α} (h : a ∉ s₁) :
s₁ ∩ insert a s₂ = s₁ ∩ s₂ :=
by rw [inter_comm, insert_inter_of_not_mem h, inter_comm]
@[simp] theorem singleton_inter_of_mem {a : α} {s : finset α} (H : a ∈ s) : {a} ∩ s = {a} :=
show insert a ∅ ∩ s = insert a ∅, by rw [insert_inter_of_mem H, empty_inter]
@[simp] theorem singleton_inter_of_not_mem {a : α} {s : finset α} (H : a ∉ s) : {a} ∩ s = ∅ :=
eq_empty_of_forall_not_mem $ by simp only [mem_inter, mem_singleton]; rintro x ⟨rfl, h⟩; exact H h
@[simp] theorem inter_singleton_of_mem {a : α} {s : finset α} (h : a ∈ s) : s ∩ {a} = {a} :=
by rw [inter_comm, singleton_inter_of_mem h]
@[simp] theorem inter_singleton_of_not_mem {a : α} {s : finset α} (h : a ∉ s) : s ∩ {a} = ∅ :=
by rw [inter_comm, singleton_inter_of_not_mem h]
@[mono]
lemma inter_subset_inter {x y s t : finset α} (h : x ⊆ y) (h' : s ⊆ t) : x ∩ s ⊆ y ∩ t :=
begin
intros a a_in,
rw finset.mem_inter at a_in ⊢,
exact ⟨h a_in.1, h' a_in.2⟩
end
lemma inter_subset_inter_right {x y s : finset α} (h : x ⊆ y) : x ∩ s ⊆ y ∩ s :=
finset.inter_subset_inter h (finset.subset.refl _)
lemma inter_subset_inter_left {x y s : finset α} (h : x ⊆ y) : s ∩ x ⊆ s ∩ y :=
finset.inter_subset_inter (finset.subset.refl _) h
/-! ### lattice laws -/
instance : lattice (finset α) :=
{ sup := (∪),
sup_le := assume a b c, union_subset,
le_sup_left := subset_union_left,
le_sup_right := subset_union_right,
inf := (∩),
le_inf := assume a b c, subset_inter,
inf_le_left := inter_subset_left,
inf_le_right := inter_subset_right,
..finset.partial_order }
@[simp] theorem sup_eq_union : ((⊔) : finset α → finset α → finset α) = (∪) := rfl
@[simp] theorem inf_eq_inter : ((⊓) : finset α → finset α → finset α) = (∩) := rfl
instance : semilattice_inf_bot (finset α) :=
{ bot := ∅, bot_le := empty_subset, ..finset.lattice }
@[simp] lemma bot_eq_empty : (⊥ : finset α) = ∅ := rfl
instance {α : Type*} [decidable_eq α] : semilattice_sup_bot (finset α) :=
{ ..finset.semilattice_inf_bot, ..finset.lattice }
instance : distrib_lattice (finset α) :=
{ le_sup_inf := assume a b c, show (a ∪ b) ∩ (a ∪ c) ⊆ a ∪ b ∩ c,
by simp only [subset_iff, mem_inter, mem_union, and_imp, or_imp_distrib] {contextual:=tt};
simp only [true_or, imp_true_iff, true_and, or_true],
..finset.lattice }
theorem inter_distrib_left (s t u : finset α) : s ∩ (t ∪ u) = (s ∩ t) ∪ (s ∩ u) := inf_sup_left
theorem inter_distrib_right (s t u : finset α) : (s ∪ t) ∩ u = (s ∩ u) ∪ (t ∩ u) := inf_sup_right
theorem union_distrib_left (s t u : finset α) : s ∪ (t ∩ u) = (s ∪ t) ∩ (s ∪ u) := sup_inf_left
theorem union_distrib_right (s t u : finset α) : (s ∩ t) ∪ u = (s ∪ u) ∩ (t ∪ u) := sup_inf_right
lemma union_eq_empty_iff (A B : finset α) : A ∪ B = ∅ ↔ A = ∅ ∧ B = ∅ := sup_eq_bot_iff
lemma union_subset_iff {s₁ s₂ s₃ : finset α} :
s₁ ∪ s₂ ⊆ s₃ ↔ s₁ ⊆ s₃ ∧ s₂ ⊆ s₃ :=
(sup_le_iff : s₁ ⊔ s₂ ≤ s₃ ↔ s₁ ≤ s₃ ∧ s₂ ≤ s₃)
lemma subset_inter_iff {s₁ s₂ s₃ : finset α} :
s₁ ⊆ s₂ ∩ s₃ ↔ s₁ ⊆ s₂ ∧ s₁ ⊆ s₃ :=
(le_inf_iff : s₁ ≤ s₂ ⊓ s₃ ↔ s₁ ≤ s₂ ∧ s₁ ≤ s₃)
theorem inter_eq_left_iff_subset (s t : finset α) :
s ∩ t = s ↔ s ⊆ t :=
(inf_eq_left : s ⊓ t = s ↔ s ≤ t)
theorem inter_eq_right_iff_subset (s t : finset α) :
t ∩ s = s ↔ s ⊆ t :=
(inf_eq_right : t ⊓ s = s ↔ s ≤ t)
/-! ### erase -/
/-- `erase s a` is the set `s - {a}`, that is, the elements of `s` which are
not equal to `a`. -/
def erase (s : finset α) (a : α) : finset α := ⟨_, nodup_erase_of_nodup a s.2⟩
@[simp] theorem erase_val (s : finset α) (a : α) : (erase s a).1 = s.1.erase a := rfl
@[simp] theorem mem_erase {a b : α} {s : finset α} : a ∈ erase s b ↔ a ≠ b ∧ a ∈ s :=
mem_erase_iff_of_nodup s.2
theorem not_mem_erase (a : α) (s : finset α) : a ∉ erase s a := mem_erase_of_nodup s.2
@[simp] theorem erase_empty (a : α) : erase ∅ a = ∅ := rfl
theorem ne_of_mem_erase {a b : α} {s : finset α} : b ∈ erase s a → b ≠ a :=
by simp only [mem_erase]; exact and.left
theorem mem_of_mem_erase {a b : α} {s : finset α} : b ∈ erase s a → b ∈ s := mem_of_mem_erase
theorem mem_erase_of_ne_of_mem {a b : α} {s : finset α} : a ≠ b → a ∈ s → a ∈ erase s b :=
by simp only [mem_erase]; exact and.intro
/-- An element of `s` that is not an element of `erase s a` must be
`a`. -/
lemma eq_of_mem_of_not_mem_erase {a b : α} {s : finset α} (hs : b ∈ s)
(hsa : b ∉ s.erase a) : b = a :=
begin
rw [mem_erase, not_and] at hsa,
exact not_imp_not.mp hsa hs
end
theorem erase_insert {a : α} {s : finset α} (h : a ∉ s) : erase (insert a s) a = s :=
ext $ assume x, by simp only [mem_erase, mem_insert, and_or_distrib_left, not_and_self, false_or];
apply and_iff_right_of_imp; rintro H rfl; exact h H
theorem insert_erase {a : α} {s : finset α} (h : a ∈ s) : insert a (erase s a) = s :=
ext $ assume x, by simp only [mem_insert, mem_erase, or_and_distrib_left, dec_em, true_and];
apply or_iff_right_of_imp; rintro rfl; exact h
theorem erase_subset_erase (a : α) {s t : finset α} (h : s ⊆ t) : erase s a ⊆ erase t a :=
val_le_iff.1 $ erase_le_erase _ $ val_le_iff.2 h
theorem erase_subset (a : α) (s : finset α) : erase s a ⊆ s := erase_subset _ _
@[simp, norm_cast] lemma coe_erase (a : α) (s : finset α) : ↑(erase s a) = (s \ {a} : set α) :=
set.ext $ λ _, mem_erase.trans $ by rw [and_comm, set.mem_diff, set.mem_singleton_iff]; refl
lemma erase_ssubset {a : α} {s : finset α} (h : a ∈ s) : s.erase a ⊂ s :=
calc s.erase a ⊂ insert a (s.erase a) : ssubset_insert $ not_mem_erase _ _
... = _ : insert_erase h
theorem erase_eq_of_not_mem {a : α} {s : finset α} (h : a ∉ s) : erase s a = s :=
eq_of_veq $ erase_of_not_mem h
theorem subset_insert_iff {a : α} {s t : finset α} : s ⊆ insert a t ↔ erase s a ⊆ t :=
by simp only [subset_iff, or_iff_not_imp_left, mem_erase, mem_insert, and_imp];
exact forall_congr (λ x, forall_swap)
theorem erase_insert_subset (a : α) (s : finset α) : erase (insert a s) a ⊆ s :=
subset_insert_iff.1 $ subset.refl _
theorem insert_erase_subset (a : α) (s : finset α) : s ⊆ insert a (erase s a) :=
subset_insert_iff.2 $ subset.refl _
lemma erase_inj {x y : α} (s : finset α) (hx : x ∈ s) :
s.erase x = s.erase y ↔ x = y :=
begin
refine ⟨λ h, _, congr_arg _⟩,
rw eq_of_mem_of_not_mem_erase hx,
rw ←h,
simp,
end
lemma erase_inj_on (s : finset α) : set.inj_on s.erase s :=
λ _ _ _ _, (erase_inj s ‹_›).mp
/-! ### sdiff -/
/-- `s \ t` is the set consisting of the elements of `s` that are not in `t`. -/
instance : has_sdiff (finset α) := ⟨λs₁ s₂, ⟨s₁.1 - s₂.1, nodup_of_le (sub_le_self _ _) s₁.2⟩⟩
@[simp] theorem mem_sdiff {a : α} {s₁ s₂ : finset α} :
a ∈ s₁ \ s₂ ↔ a ∈ s₁ ∧ a ∉ s₂ := mem_sub_of_nodup s₁.2
@[simp] theorem inter_sdiff_self (s₁ s₂ : finset α) : s₁ ∩ (s₂ \ s₁) = ∅ :=
eq_empty_of_forall_not_mem $
by simp only [mem_inter, mem_sdiff]; rintro x ⟨h, _, hn⟩; exact hn h
instance : generalized_boolean_algebra (finset α) :=
{ sup_inf_sdiff := λ x y, by { simp only [ext_iff, mem_union, mem_sdiff, inf_eq_inter, sup_eq_union,
mem_inter], tauto },
inf_inf_sdiff := λ x y, by { simp only [ext_iff, inter_sdiff_self, inter_empty, inter_assoc,
false_iff, inf_eq_inter, not_mem_empty], tauto },
..finset.has_sdiff,
..finset.distrib_lattice,
..finset.semilattice_inf_bot }
lemma not_mem_sdiff_of_mem_right {a : α} {s t : finset α} (h : a ∈ t) : a ∉ s \ t :=
by simp only [mem_sdiff, h, not_true, not_false_iff, and_false]
theorem union_sdiff_of_subset {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : s₁ ∪ (s₂ \ s₁) = s₂ :=
sup_sdiff_of_le h
theorem sdiff_union_of_subset {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : (s₂ \ s₁) ∪ s₁ = s₂ :=
(union_comm _ _).trans (union_sdiff_of_subset h)
theorem inter_sdiff (s t u : finset α) : s ∩ (t \ u) = s ∩ t \ u :=
by { ext x, simp [and_assoc] }
@[simp] theorem sdiff_inter_self (s₁ s₂ : finset α) : (s₂ \ s₁) ∩ s₁ = ∅ :=
inf_sdiff_self_left
@[simp] theorem sdiff_self (s₁ : finset α) : s₁ \ s₁ = ∅ :=
sdiff_self
theorem sdiff_inter_distrib_right (s₁ s₂ s₃ : finset α) : s₁ \ (s₂ ∩ s₃) = (s₁ \ s₂) ∪ (s₁ \ s₃) :=
sdiff_inf
@[simp] theorem sdiff_inter_self_left (s₁ s₂ : finset α) : s₁ \ (s₁ ∩ s₂) = s₁ \ s₂ :=
sdiff_inf_self_left
@[simp] theorem sdiff_inter_self_right (s₁ s₂ : finset α) : s₁ \ (s₂ ∩ s₁) = s₁ \ s₂ :=
sdiff_inf_self_right
@[simp] theorem sdiff_empty {s₁ : finset α} : s₁ \ ∅ = s₁ :=
sdiff_bot
@[mono]
theorem sdiff_subset_sdiff {s₁ s₂ t₁ t₂ : finset α} (h₁ : t₁ ⊆ t₂) (h₂ : s₂ ⊆ s₁) :
t₁ \ s₁ ⊆ t₂ \ s₂ :=
sdiff_le_sdiff ‹t₁ ≤ t₂› ‹s₂ ≤ s₁›
@[simp, norm_cast] lemma coe_sdiff (s₁ s₂ : finset α) : ↑(s₁ \ s₂) = (s₁ \ s₂ : set α) :=
set.ext $ λ _, mem_sdiff
@[simp] theorem union_sdiff_self_eq_union {s t : finset α} : s ∪ (t \ s) = s ∪ t :=
sup_sdiff_self_right
@[simp] theorem sdiff_union_self_eq_union {s t : finset α} : (s \ t) ∪ t = s ∪ t :=
sup_sdiff_self_left
lemma union_sdiff_symm {s t : finset α} : s ∪ (t \ s) = t ∪ (s \ t) :=
sup_sdiff_symm
lemma sdiff_union_inter (s t : finset α) : (s \ t) ∪ (s ∩ t) = s :=
by { rw union_comm, exact sup_inf_sdiff _ _ }
@[simp] lemma sdiff_idem (s t : finset α) : s \ t \ t = s \ t :=
sdiff_idem
lemma sdiff_eq_empty_iff_subset {s t : finset α} : s \ t = ∅ ↔ s ⊆ t :=
sdiff_eq_bot_iff
@[simp] lemma empty_sdiff (s : finset α) : ∅ \ s = ∅ :=
bot_sdiff
lemma insert_sdiff_of_not_mem (s : finset α) {t : finset α} {x : α} (h : x ∉ t) :
(insert x s) \ t = insert x (s \ t) :=
begin
rw [← coe_inj, coe_insert, coe_sdiff, coe_sdiff, coe_insert],
exact set.insert_diff_of_not_mem s h
end
lemma insert_sdiff_of_mem (s : finset α) {t : finset α} {x : α} (h : x ∈ t) :
(insert x s) \ t = s \ t :=
begin
rw [← coe_inj, coe_sdiff, coe_sdiff, coe_insert],
exact set.insert_diff_of_mem s h
end
@[simp] lemma insert_sdiff_insert (s t : finset α) (x : α) :
(insert x s) \ (insert x t) = s \ insert x t :=
insert_sdiff_of_mem _ (mem_insert_self _ _)
lemma sdiff_insert_of_not_mem {s : finset α} {x : α} (h : x ∉ s) (t : finset α) :
s \ (insert x t) = s \ t :=
begin
refine subset.antisymm (sdiff_subset_sdiff (subset.refl _) (subset_insert _ _)) (λ y hy, _),
simp only [mem_sdiff, mem_insert, not_or_distrib] at hy ⊢,
exact ⟨hy.1, λ hxy, h $ hxy ▸ hy.1, hy.2⟩
end
@[simp] lemma sdiff_subset (s t : finset α) : s \ t ⊆ s :=
show s \ t ≤ s, from sdiff_le
lemma union_sdiff_distrib (s₁ s₂ t : finset α) : (s₁ ∪ s₂) \ t = s₁ \ t ∪ s₂ \ t :=
sup_sdiff
lemma sdiff_union_distrib (s t₁ t₂ : finset α) : s \ (t₁ ∪ t₂) = (s \ t₁) ∩ (s \ t₂) :=
sdiff_sup
lemma union_sdiff_self (s t : finset α) : (s ∪ t) \ t = s \ t :=
sup_sdiff_right_self
lemma sdiff_singleton_eq_erase (a : α) (s : finset α) : s \ singleton a = erase s a :=
by { ext, rw [mem_erase, mem_sdiff, mem_singleton], tauto }
lemma sdiff_sdiff_self_left (s t : finset α) : s \ (s \ t) = s ∩ t :=
sdiff_sdiff_right_self
lemma sdiff_eq_sdiff_iff_inter_eq_inter {s t₁ t₂ : finset α} : s \ t₁ = s \ t₂ ↔ s ∩ t₁ = s ∩ t₂ :=
sdiff_eq_sdiff_iff_inf_eq_inf
lemma union_eq_sdiff_union_sdiff_union_inter (s t : finset α) :
s ∪ t = (s \ t) ∪ (t \ s) ∪ (s ∩ t) :=
sup_eq_sdiff_sup_sdiff_sup_inf
end decidable_eq
/-! ### attach -/
/-- `attach s` takes the elements of `s` and forms a new set of elements of the subtype
`{x // x ∈ s}`. -/
def attach (s : finset α) : finset {x // x ∈ s} := ⟨attach s.1, nodup_attach.2 s.2⟩
theorem sizeof_lt_sizeof_of_mem [has_sizeof α] {x : α} {s : finset α} (hx : x ∈ s) :
sizeof x < sizeof s := by
{ cases s, dsimp [sizeof, has_sizeof.sizeof, finset.sizeof],
apply lt_add_left, exact multiset.sizeof_lt_sizeof_of_mem hx }
@[simp] theorem attach_val (s : finset α) : s.attach.1 = s.1.attach := rfl
@[simp] theorem mem_attach (s : finset α) : ∀ x, x ∈ s.attach := mem_attach _
@[simp] theorem attach_empty : attach (∅ : finset α) = ∅ := rfl
@[simp] lemma attach_nonempty_iff (s : finset α) : s.attach.nonempty ↔ s.nonempty :=
by simp [finset.nonempty]
@[simp] lemma attach_eq_empty_iff (s : finset α) : s.attach = ∅ ↔ s = ∅ :=
by simpa [eq_empty_iff_forall_not_mem]
/-! ### piecewise -/
section piecewise
/-- `s.piecewise f g` is the function equal to `f` on the finset `s`, and to `g` on its
complement. -/
def piecewise {α : Type*} {δ : α → Sort*} (s : finset α) (f g : Πi, δ i) [∀j, decidable (j ∈ s)] :
Πi, δ i :=
λi, if i ∈ s then f i else g i
variables {δ : α → Sort*} (s : finset α) (f g : Πi, δ i)
@[simp] lemma piecewise_insert_self [decidable_eq α] {j : α} [∀i, decidable (i ∈ insert j s)] :
(insert j s).piecewise f g j = f j :=
by simp [piecewise]
@[simp] lemma piecewise_empty [∀i : α, decidable (i ∈ (∅ : finset α))] : piecewise ∅ f g = g :=
by { ext i, simp [piecewise] }
variable [∀j, decidable (j ∈ s)]
@[norm_cast] lemma piecewise_coe [∀j, decidable (j ∈ (s : set α))] :
(s : set α).piecewise f g = s.piecewise f g :=
by { ext, congr }
@[simp, priority 980]
lemma piecewise_eq_of_mem {i : α} (hi : i ∈ s) : s.piecewise f g i = f i :=
by simp [piecewise, hi]
@[simp, priority 980]
lemma piecewise_eq_of_not_mem {i : α} (hi : i ∉ s) : s.piecewise f g i = g i :=
by simp [piecewise, hi]
lemma piecewise_congr {f f' g g' : Π i, δ i} (hf : ∀ i ∈ s, f i = f' i) (hg : ∀ i ∉ s, g i = g' i) :
s.piecewise f g = s.piecewise f' g' :=
funext $ λ i, if_ctx_congr iff.rfl (hf i) (hg i)
@[simp, priority 990]
lemma piecewise_insert_of_ne [decidable_eq α] {i j : α} [∀i, decidable (i ∈ insert j s)]
(h : i ≠ j) : (insert j s).piecewise f g i = s.piecewise f g i :=
by simp [piecewise, h]
lemma piecewise_insert [decidable_eq α] (j : α) [∀i, decidable (i ∈ insert j s)] :
(insert j s).piecewise f g = update (s.piecewise f g) j (f j) :=
begin
classical,
rw [← piecewise_coe, ← piecewise_coe, ← set.piecewise_insert, ← coe_insert j s],
congr
end
lemma piecewise_cases {i} (p : δ i → Prop) (hf : p (f i)) (hg : p (g i)) : p (s.piecewise f g i) :=
by by_cases hi : i ∈ s; simpa [hi]
lemma piecewise_mem_set_pi {δ : α → Type*} {t : set α} {t' : Π i, set (δ i)}
{f g} (hf : f ∈ set.pi t t') (hg : g ∈ set.pi t t') : s.piecewise f g ∈ set.pi t t' :=
by { classical, rw ← piecewise_coe, exact set.piecewise_mem_pi ↑s hf hg }
lemma piecewise_singleton [decidable_eq α] (i : α) :
piecewise {i} f g = update g i (f i) :=
by rw [← insert_emptyc_eq, piecewise_insert, piecewise_empty]
lemma piecewise_piecewise_of_subset_left {s t : finset α} [Π i, decidable (i ∈ s)]
[Π i, decidable (i ∈ t)] (h : s ⊆ t) (f₁ f₂ g : Π a, δ a) :
s.piecewise (t.piecewise f₁ f₂) g = s.piecewise f₁ g :=
s.piecewise_congr (λ i hi, piecewise_eq_of_mem _ _ _ (h hi)) (λ _ _, rfl)
@[simp] lemma piecewise_idem_left (f₁ f₂ g : Π a, δ a) :
s.piecewise (s.piecewise f₁ f₂) g = s.piecewise f₁ g :=
piecewise_piecewise_of_subset_left (subset.refl _) _ _ _
lemma piecewise_piecewise_of_subset_right {s t : finset α} [Π i, decidable (i ∈ s)]
[Π i, decidable (i ∈ t)] (h : t ⊆ s) (f g₁ g₂ : Π a, δ a) :
s.piecewise f (t.piecewise g₁ g₂) = s.piecewise f g₂ :=
s.piecewise_congr (λ _ _, rfl) (λ i hi, t.piecewise_eq_of_not_mem _ _ (mt (@h _) hi))
@[simp] lemma piecewise_idem_right (f g₁ g₂ : Π a, δ a) :
s.piecewise f (s.piecewise g₁ g₂) = s.piecewise f g₂ :=
piecewise_piecewise_of_subset_right (subset.refl _) f g₁ g₂
lemma update_eq_piecewise {β : Type*} [decidable_eq α] (f : α → β) (i : α) (v : β) :
update f i v = piecewise (singleton i) (λj, v) f :=
(piecewise_singleton _ _ _).symm
lemma update_piecewise [decidable_eq α] (i : α) (v : δ i) :
update (s.piecewise f g) i v = s.piecewise (update f i v) (update g i v) :=
begin
ext j,
rcases em (j = i) with (rfl|hj); by_cases hs : j ∈ s; simp *
end
lemma update_piecewise_of_mem [decidable_eq α] {i : α} (hi : i ∈ s) (v : δ i) :
update (s.piecewise f g) i v = s.piecewise (update f i v) g :=
begin
rw update_piecewise,
refine s.piecewise_congr (λ _ _, rfl) (λ j hj, update_noteq _ _ _),
exact λ h, hj (h.symm ▸ hi)
end
lemma update_piecewise_of_not_mem [decidable_eq α] {i : α} (hi : i ∉ s) (v : δ i) :
update (s.piecewise f g) i v = s.piecewise f (update g i v) :=
begin
rw update_piecewise,
refine s.piecewise_congr (λ j hj, update_noteq _ _ _) (λ _ _, rfl),
exact λ h, hi (h ▸ hj)
end
lemma piecewise_le_of_le_of_le {δ : α → Type*} [Π i, preorder (δ i)] {f g h : Π i, δ i}
(Hf : f ≤ h) (Hg : g ≤ h) : s.piecewise f g ≤ h :=
λ x, piecewise_cases s f g (≤ h x) (Hf x) (Hg x)
lemma le_piecewise_of_le_of_le {δ : α → Type*} [Π i, preorder (δ i)] {f g h : Π i, δ i}
(Hf : h ≤ f) (Hg : h ≤ g) : h ≤ s.piecewise f g :=
λ x, piecewise_cases s f g (λ y, h x ≤ y) (Hf x) (Hg x)
lemma piecewise_le_piecewise' {δ : α → Type*} [Π i, preorder (δ i)] {f g f' g' : Π i, δ i}
(Hf : ∀ x ∈ s, f x ≤ f' x) (Hg : ∀ x ∉ s, g x ≤ g' x) : s.piecewise f g ≤ s.piecewise f' g' :=
λ x, by { by_cases hx : x ∈ s; simp [hx, *] }
lemma piecewise_le_piecewise {δ : α → Type*} [Π i, preorder (δ i)] {f g f' g' : Π i, δ i}
(Hf : f ≤ f') (Hg : g ≤ g') : s.piecewise f g ≤ s.piecewise f' g' :=
s.piecewise_le_piecewise' (λ x _, Hf x) (λ x _, Hg x)
lemma piecewise_mem_Icc_of_mem_of_mem {δ : α → Type*} [Π i, preorder (δ i)] {f f₁ g g₁ : Π i, δ i}
(hf : f ∈ set.Icc f₁ g₁) (hg : g ∈ set.Icc f₁ g₁) :
s.piecewise f g ∈ set.Icc f₁ g₁ :=
⟨le_piecewise_of_le_of_le _ hf.1 hg.1, piecewise_le_of_le_of_le _ hf.2 hg.2⟩
lemma piecewise_mem_Icc {δ : α → Type*} [Π i, preorder (δ i)] {f g : Π i, δ i} (h : f ≤ g) :
s.piecewise f g ∈ set.Icc f g :=
piecewise_mem_Icc_of_mem_of_mem _ (set.left_mem_Icc.2 h) (set.right_mem_Icc.2 h)
lemma piecewise_mem_Icc' {δ : α → Type*} [Π i, preorder (δ i)] {f g : Π i, δ i} (h : g ≤ f) :
s.piecewise f g ∈ set.Icc g f :=
piecewise_mem_Icc_of_mem_of_mem _ (set.right_mem_Icc.2 h) (set.left_mem_Icc.2 h)
end piecewise
section decidable_pi_exists
variables {s : finset α}
instance decidable_dforall_finset {p : Πa∈s, Prop} [hp : ∀a (h : a ∈ s), decidable (p a h)] :
decidable (∀a (h : a ∈ s), p a h) :=
multiset.decidable_dforall_multiset
/-- decidable equality for functions whose domain is bounded by finsets -/
instance decidable_eq_pi_finset {β : α → Type*} [h : ∀a, decidable_eq (β a)] :
decidable_eq (Πa∈s, β a) :=
multiset.decidable_eq_pi_multiset
instance decidable_dexists_finset {p : Πa∈s, Prop} [hp : ∀a (h : a ∈ s), decidable (p a h)] :
decidable (∃a (h : a ∈ s), p a h) :=
multiset.decidable_dexists_multiset
end decidable_pi_exists
/-! ### filter -/
section filter
variables (p q : α → Prop) [decidable_pred p] [decidable_pred q]
/-- `filter p s` is the set of elements of `s` that satisfy `p`. -/
def filter (s : finset α) : finset α :=
⟨_, nodup_filter p s.2⟩
@[simp] theorem filter_val (s : finset α) : (filter p s).1 = s.1.filter p := rfl
@[simp] theorem filter_subset (s : finset α) : s.filter p ⊆ s := filter_subset _ _
variable {p}
@[simp] theorem mem_filter {s : finset α} {a : α} : a ∈ s.filter p ↔ a ∈ s ∧ p a := mem_filter
theorem filter_ssubset {s : finset α} : s.filter p ⊂ s ↔ ∃ x ∈ s, ¬ p x :=
⟨λ h, let ⟨x, hs, hp⟩ := set.exists_of_ssubset h in ⟨x, hs, mt (λ hp, mem_filter.2 ⟨hs, hp⟩) hp⟩,
λ ⟨x, hs, hp⟩, ⟨s.filter_subset _, λ h, hp (mem_filter.1 (h hs)).2⟩⟩
variable (p)
theorem filter_filter (s : finset α) : (s.filter p).filter q = s.filter (λa, p a ∧ q a) :=
ext $ assume a, by simp only [mem_filter, and_comm, and.left_comm]
lemma filter_true {s : finset α} [h : decidable_pred (λ _, true)] :
@finset.filter α (λ _, true) h s = s :=
by ext; simp
@[simp] theorem filter_false {h} (s : finset α) : @filter α (λa, false) h s = ∅ :=
ext $ assume a, by simp only [mem_filter, and_false]; refl
variables {p q}
/-- If all elements of a `finset` satisfy the predicate `p`, `s.filter p` is `s`. -/
@[simp] lemma filter_true_of_mem {s : finset α} (h : ∀ x ∈ s, p x) : s.filter p = s :=
ext $ λ x, ⟨λ h, (mem_filter.1 h).1, λ hx, mem_filter.2 ⟨hx, h x hx⟩⟩
/-- If all elements of a `finset` fail to satisfy the predicate `p`, `s.filter p` is `∅`. -/
lemma filter_false_of_mem {s : finset α} (h : ∀ x ∈ s, ¬ p x) : s.filter p = ∅ :=
eq_empty_of_forall_not_mem (by simpa)
lemma filter_congr {s : finset α} (H : ∀ x ∈ s, p x ↔ q x) : filter p s = filter q s :=
eq_of_veq $ filter_congr H
variables (p q)
lemma filter_empty : filter p ∅ = ∅ := subset_empty.1 $ filter_subset _ _
lemma filter_subset_filter {s t : finset α} (h : s ⊆ t) : s.filter p ⊆ t.filter p :=
assume a ha, mem_filter.2 ⟨h (mem_filter.1 ha).1, (mem_filter.1 ha).2⟩
@[simp, norm_cast] lemma coe_filter (s : finset α) : ↑(s.filter p) = ({x ∈ ↑s | p x} : set α) :=
set.ext $ λ _, mem_filter
theorem filter_singleton (a : α) : filter p (singleton a) = if p a then singleton a else ∅ :=
by { classical, ext x, simp, split_ifs with h; by_cases h' : x = a; simp [h, h'] }
variable [decidable_eq α]
theorem filter_union (s₁ s₂ : finset α) : (s₁ ∪ s₂).filter p = s₁.filter p ∪ s₂.filter p :=
ext $ λ _, by simp only [mem_filter, mem_union, or_and_distrib_right]
theorem filter_union_right (s : finset α) : s.filter p ∪ s.filter q = s.filter (λx, p x ∨ q x) :=
ext $ λ x, by simp only [mem_filter, mem_union, and_or_distrib_left.symm]
lemma filter_mem_eq_inter {s t : finset α} [Π i, decidable (i ∈ t)] :
s.filter (λ i, i ∈ t) = s ∩ t :=
ext $ λ i, by rw [mem_filter, mem_inter]
theorem filter_inter (s t : finset α) : filter p s ∩ t = filter p (s ∩ t) :=
by { ext, simp only [mem_inter, mem_filter, and.right_comm] }
theorem inter_filter (s t : finset α) : s ∩ filter p t = filter p (s ∩ t) :=
by rw [inter_comm, filter_inter, inter_comm]
theorem filter_insert (a : α) (s : finset α) :
filter p (insert a s) = if p a then insert a (filter p s) else filter p s :=
by { ext x, simp, split_ifs with h; by_cases h' : x = a; simp [h, h'] }
theorem filter_or [decidable_pred (λ a, p a ∨ q a)] (s : finset α) :
s.filter (λ a, p a ∨ q a) = s.filter p ∪ s.filter q :=
ext $ λ _, by simp only [mem_filter, mem_union, and_or_distrib_left]
theorem filter_and [decidable_pred (λ a, p a ∧ q a)] (s : finset α) :
s.filter (λ a, p a ∧ q a) = s.filter p ∩ s.filter q :=
ext $ λ _, by simp only [mem_filter, mem_inter, and_comm, and.left_comm, and_self]
theorem filter_not [decidable_pred (λ a, ¬ p a)] (s : finset α) :
s.filter (λ a, ¬ p a) = s \ s.filter p :=
ext $ by simpa only [mem_filter, mem_sdiff, and_comm, not_and] using λ a, and_congr_right $
λ h : a ∈ s, (imp_iff_right h).symm.trans imp_not_comm
theorem sdiff_eq_filter (s₁ s₂ : finset α) :
s₁ \ s₂ = filter (∉ s₂) s₁ := ext $ λ _, by simp only [mem_sdiff, mem_filter]
theorem sdiff_eq_self (s₁ s₂ : finset α) :
s₁ \ s₂ = s₁ ↔ s₁ ∩ s₂ ⊆ ∅ :=
by { simp [subset.antisymm_iff],
split; intro h,
{ transitivity' ((s₁ \ s₂) ∩ s₂), mono, simp },
{ calc s₁ \ s₂
⊇ s₁ \ (s₁ ∩ s₂) : by simp [(⊇)]
... ⊇ s₁ \ ∅ : by mono using [(⊇)]
... ⊇ s₁ : by simp [(⊇)] } }
theorem filter_union_filter_neg_eq [decidable_pred (λ a, ¬ p a)]
(s : finset α) : s.filter p ∪ s.filter (λa, ¬ p a) = s :=
by simp only [filter_not, union_sdiff_of_subset (filter_subset p s)]
theorem filter_inter_filter_neg_eq (s : finset α) : s.filter p ∩ s.filter (λa, ¬ p a) = ∅ :=
by simp only [filter_not, inter_sdiff_self]
lemma subset_union_elim {s : finset α} {t₁ t₂ : set α} (h : ↑s ⊆ t₁ ∪ t₂) :
∃s₁ s₂ : finset α, s₁ ∪ s₂ = s ∧ ↑s₁ ⊆ t₁ ∧ ↑s₂ ⊆ t₂ \ t₁ :=
begin
classical,
refine ⟨s.filter (∈ t₁), s.filter (∉ t₁), _, _ , _⟩,
{ simp [filter_union_right, em] },
{ intro x, simp },
{ intro x, simp, intros hx hx₂, refine ⟨or.resolve_left (h hx) hx₂, hx₂⟩ }
end
/- We can simplify an application of filter where the decidability is inferred in "the wrong way" -/
@[simp] lemma filter_congr_decidable {α} (s : finset α) (p : α → Prop) (h : decidable_pred p)
[decidable_pred p] : @filter α p h s = s.filter p :=
by congr
section classical
open_locale classical
/-- The following instance allows us to write `{x ∈ s | p x}` for `finset.filter p s`.
Since the former notation requires us to define this for all propositions `p`, and `finset.filter`
only works for decidable propositions, the notation `{x ∈ s | p x}` is only compatible with
classical logic because it uses `classical.prop_decidable`.
We don't want to redo all lemmas of `finset.filter` for `has_sep.sep`, so we make sure that `simp`
unfolds the notation `{x ∈ s | p x}` to `finset.filter p s`. If `p` happens to be decidable, the
simp-lemma `finset.filter_congr_decidable` will make sure that `finset.filter` uses the right
instance for decidability.
-/
noncomputable instance {α : Type*} : has_sep α (finset α) := ⟨λ p x, x.filter p⟩
@[simp] lemma sep_def {α : Type*} (s : finset α) (p : α → Prop) : {x ∈ s | p x} = s.filter p := rfl
end classical
/--
After filtering out everything that does not equal a given value, at most that value remains.
This is equivalent to `filter_eq'` with the equality the other way.
-/
-- This is not a good simp lemma, as it would prevent `finset.mem_filter` from firing
-- on, e.g. `x ∈ s.filter(eq b)`.
lemma filter_eq [decidable_eq β] (s : finset β) (b : β) :
s.filter (eq b) = ite (b ∈ s) {b} ∅ :=
begin
split_ifs,
{ ext,
simp only [mem_filter, mem_singleton],
exact ⟨λ h, h.2.symm, by { rintro ⟨h⟩, exact ⟨h, rfl⟩, }⟩ },
{ ext,
simp only [mem_filter, not_and, iff_false, not_mem_empty],
rintros m ⟨e⟩, exact h m, }
end
/--
After filtering out everything that does not equal a given value, at most that value remains.
This is equivalent to `filter_eq` with the equality the other way.
-/
lemma filter_eq' [decidable_eq β] (s : finset β) (b : β) :
s.filter (λ a, a = b) = ite (b ∈ s) {b} ∅ :=
trans (filter_congr (λ _ _, ⟨eq.symm, eq.symm⟩)) (filter_eq s b)
lemma filter_ne [decidable_eq β] (s : finset β) (b : β) :
s.filter (λ a, b ≠ a) = s.erase b :=
by { ext, simp only [mem_filter, mem_erase, ne.def], tauto, }
lemma filter_ne' [decidable_eq β] (s : finset β) (b : β) :
s.filter (λ a, a ≠ b) = s.erase b :=
trans (filter_congr (λ _ _, ⟨ne.symm, ne.symm⟩)) (filter_ne s b)
end filter
/-! ### range -/
section range
variables {n m l : ℕ}
/-- `range n` is the set of natural numbers less than `n`. -/
def range (n : ℕ) : finset ℕ := ⟨_, nodup_range n⟩
@[simp] theorem range_coe (n : ℕ) : (range n).1 = multiset.range n := rfl
@[simp] theorem mem_range : m ∈ range n ↔ m < n := mem_range
@[simp] theorem range_zero : range 0 = ∅ := rfl
@[simp] theorem range_one : range 1 = {0} := rfl
theorem range_succ : range (succ n) = insert n (range n) :=
eq_of_veq $ (range_succ n).trans $ (ndinsert_of_not_mem not_mem_range_self).symm
theorem range_add_one : range (n + 1) = insert n (range n) :=
range_succ
@[simp] theorem not_mem_range_self : n ∉ range n := not_mem_range_self
@[simp] theorem self_mem_range_succ (n : ℕ) : n ∈ range (n + 1) := multiset.self_mem_range_succ n
@[simp] theorem range_subset {n m} : range n ⊆ range m ↔ n ≤ m := range_subset
theorem range_mono : monotone range := λ _ _, range_subset.2
lemma mem_range_succ_iff {a b : ℕ} : a ∈ finset.range b.succ ↔ a ≤ b :=
finset.mem_range.trans nat.lt_succ_iff
lemma mem_range_le {n x : ℕ} (hx : x ∈ range n) : x ≤ n :=
(mem_range.1 hx).le
lemma mem_range_sub_ne_zero {n x : ℕ} (hx : x ∈ range n) : n - x ≠ 0 :=
ne_of_gt $ nat.sub_pos_of_lt $ mem_range.1 hx
end range
/- useful rules for calculations with quantifiers -/
theorem exists_mem_empty_iff (p : α → Prop) : (∃ x, x ∈ (∅ : finset α) ∧ p x) ↔ false :=
by simp only [not_mem_empty, false_and, exists_false]
theorem exists_mem_insert [d : decidable_eq α]
(a : α) (s : finset α) (p : α → Prop) :
(∃ x, x ∈ insert a s ∧ p x) ↔ p a ∨ (∃ x, x ∈ s ∧ p x) :=
by simp only [mem_insert, or_and_distrib_right, exists_or_distrib, exists_eq_left]
theorem forall_mem_empty_iff (p : α → Prop) : (∀ x, x ∈ (∅ : finset α) → p x) ↔ true :=
iff_true_intro $ λ _, false.elim
theorem forall_mem_insert [d : decidable_eq α]
(a : α) (s : finset α) (p : α → Prop) :
(∀ x, x ∈ insert a s → p x) ↔ p a ∧ (∀ x, x ∈ s → p x) :=
by simp only [mem_insert, or_imp_distrib, forall_and_distrib, forall_eq]
end finset
/-- Equivalence between the set of natural numbers which are `≥ k` and `ℕ`, given by `n → n - k`. -/
def not_mem_range_equiv (k : ℕ) : {n // n ∉ range k} ≃ ℕ :=
{ to_fun := λ i, i.1 - k,
inv_fun := λ j, ⟨j + k, by simp⟩,
left_inv :=
begin
assume j,
rw subtype.ext_iff_val,
apply nat.sub_add_cancel,
simpa using j.2
end,
right_inv := λ j, nat.add_sub_cancel _ _ }
@[simp] lemma coe_not_mem_range_equiv (k : ℕ) :
(not_mem_range_equiv k : {n // n ∉ range k} → ℕ) = (λ i, i - k) := rfl
@[simp] lemma coe_not_mem_range_equiv_symm (k : ℕ) :
((not_mem_range_equiv k).symm : ℕ → {n // n ∉ range k}) = λ j, ⟨j + k, by simp⟩ := rfl
namespace option
/-- Construct an empty or singleton finset from an `option` -/
def to_finset (o : option α) : finset α :=
match o with
| none := ∅
| some a := {a}
end
@[simp] theorem to_finset_none : none.to_finset = (∅ : finset α) := rfl
@[simp] theorem to_finset_some {a : α} : (some a).to_finset = {a} := rfl
@[simp] theorem mem_to_finset {a : α} {o : option α} : a ∈ o.to_finset ↔ a ∈ o :=
by cases o; simp only [to_finset, finset.mem_singleton, option.mem_def, eq_comm]; refl
end option
/-! ### erase_dup on list and multiset -/
namespace multiset
variable [decidable_eq α]
/-- `to_finset s` removes duplicates from the multiset `s` to produce a finset. -/
def to_finset (s : multiset α) : finset α := ⟨_, nodup_erase_dup s⟩
@[simp] theorem to_finset_val (s : multiset α) : s.to_finset.1 = s.erase_dup := rfl
theorem to_finset_eq {s : multiset α} (n : nodup s) : finset.mk s n = s.to_finset :=
finset.val_inj.1 (erase_dup_eq_self.2 n).symm
@[simp] theorem mem_to_finset {a : α} {s : multiset α} : a ∈ s.to_finset ↔ a ∈ s :=
mem_erase_dup
@[simp] lemma to_finset_zero :
to_finset (0 : multiset α) = ∅ :=
rfl
@[simp] lemma to_finset_cons (a : α) (s : multiset α) :
to_finset (a ::ₘ s) = insert a (to_finset s) :=
finset.eq_of_veq erase_dup_cons
@[simp] lemma to_finset_add (s t : multiset α) :
to_finset (s + t) = to_finset s ∪ to_finset t :=
finset.ext $ by simp
@[simp] lemma to_finset_nsmul (s : multiset α) :
∀(n : ℕ) (hn : n ≠ 0), (n • s).to_finset = s.to_finset
| 0 h := by contradiction
| (n+1) h :=
begin
by_cases n = 0,
{ rw [h, zero_add, one_nsmul] },
{ rw [add_nsmul, to_finset_add, one_nsmul, to_finset_nsmul n h, finset.union_idempotent] }
end
@[simp] lemma to_finset_inter (s t : multiset α) :
to_finset (s ∩ t) = to_finset s ∩ to_finset t :=
finset.ext $ by simp
@[simp] lemma to_finset_union (s t : multiset α) :
(s ∪ t).to_finset = s.to_finset ∪ t.to_finset :=
by ext; simp
theorem to_finset_eq_empty {m : multiset α} : m.to_finset = ∅ ↔ m = 0 :=
finset.val_inj.symm.trans multiset.erase_dup_eq_zero
@[simp] lemma to_finset_subset (m1 m2 : multiset α) :
m1.to_finset ⊆ m2.to_finset ↔ m1 ⊆ m2 :=
by simp only [finset.subset_iff, multiset.subset_iff, multiset.mem_to_finset]
end multiset
namespace finset
@[simp] lemma val_to_finset [decidable_eq α] (s : finset α) : s.val.to_finset = s :=
by { ext, rw [multiset.mem_to_finset, ←mem_def] }
end finset
namespace list
variable [decidable_eq α]
/-- `to_finset l` removes duplicates from the list `l` to produce a finset. -/
def to_finset (l : list α) : finset α := multiset.to_finset l
@[simp] theorem to_finset_val (l : list α) : l.to_finset.1 = (l.erase_dup : multiset α) := rfl
theorem to_finset_eq {l : list α} (n : nodup l) : @finset.mk α l n = l.to_finset :=
multiset.to_finset_eq n
@[simp] theorem mem_to_finset {a : α} {l : list α} : a ∈ l.to_finset ↔ a ∈ l :=
mem_erase_dup
@[simp] theorem to_finset_nil : to_finset (@nil α) = ∅ :=
rfl
@[simp] theorem to_finset_cons {a : α} {l : list α} : to_finset (a :: l) = insert a (to_finset l) :=
finset.eq_of_veq $ by by_cases h : a ∈ l; simp [finset.insert_val', multiset.erase_dup_cons, h]
lemma to_finset_surj_on : set.surj_on to_finset {l : list α | l.nodup} set.univ :=
begin
rintro s -,
cases s with t hl, induction t using quot.ind with l,
refine ⟨l, hl, (to_finset_eq hl).symm⟩
end
theorem to_finset_surjective : surjective (to_finset : list α → finset α) :=
by { intro s, rcases to_finset_surj_on (set.mem_univ s) with ⟨l, -, hls⟩, exact ⟨l, hls⟩ }
lemma to_finset_eq_iff_perm_erase_dup {l l' : list α} :
l.to_finset = l'.to_finset ↔ l.erase_dup ~ l'.erase_dup :=
by simp [finset.ext_iff, perm_ext (nodup_erase_dup _) (nodup_erase_dup _)]
lemma to_finset_eq_of_perm (l l' : list α) (h : l ~ l') :
l.to_finset = l'.to_finset :=
to_finset_eq_iff_perm_erase_dup.mpr h.erase_dup
@[simp] lemma to_finset_append {l l' : list α} :
to_finset (l ++ l') = l.to_finset ∪ l'.to_finset :=
begin
induction l with hd tl hl,
{ simp },
{ simp [hl] }
end
@[simp] lemma to_finset_reverse {l : list α} :
to_finset l.reverse = l.to_finset :=
to_finset_eq_of_perm _ _ (reverse_perm l)
end list
namespace finset
/-! ### map -/
section map
open function
/-- When `f` is an embedding of `α` in `β` and `s` is a finset in `α`, then `s.map f` is the image
finset in `β`. The embedding condition guarantees that there are no duplicates in the image. -/
def map (f : α ↪ β) (s : finset α) : finset β :=
⟨s.1.map f, nodup_map f.2 s.2⟩
@[simp] theorem map_val (f : α ↪ β) (s : finset α) : (map f s).1 = s.1.map f := rfl
@[simp] theorem map_empty (f : α ↪ β) : (∅ : finset α).map f = ∅ := rfl
variables {f : α ↪ β} {s : finset α}
@[simp] theorem mem_map {b : β} : b ∈ s.map f ↔ ∃ a ∈ s, f a = b :=
mem_map.trans $ by simp only [exists_prop]; refl
@[simp] theorem mem_map_equiv {f : α ≃ β} {b : β} :
b ∈ s.map f.to_embedding ↔ f.symm b ∈ s :=
by { rw mem_map, exact ⟨by { rintro ⟨a, H, rfl⟩, simpa }, λ h, ⟨_, h, by simp⟩⟩ }
theorem mem_map' (f : α ↪ β) {a} {s : finset α} : f a ∈ s.map f ↔ a ∈ s :=
mem_map_of_injective f.2
theorem mem_map_of_mem (f : α ↪ β) {a} {s : finset α} : a ∈ s → f a ∈ s.map f :=
(mem_map' _).2
@[simp, norm_cast] theorem coe_map (f : α ↪ β) (s : finset α) : (s.map f : set β) = f '' s :=
set.ext $ λ x, mem_map.trans set.mem_image_iff_bex.symm
theorem coe_map_subset_range (f : α ↪ β) (s : finset α) : (s.map f : set β) ⊆ set.range f :=
calc ↑(s.map f) = f '' s : coe_map f s
... ⊆ set.range f : set.image_subset_range f ↑s
theorem map_to_finset [decidable_eq α] [decidable_eq β] {s : multiset α} :
s.to_finset.map f = (s.map f).to_finset :=
ext $ λ _, by simp only [mem_map, multiset.mem_map, exists_prop, multiset.mem_to_finset]
@[simp] theorem map_refl : s.map (embedding.refl _) = s :=
ext $ λ _, by simpa only [mem_map, exists_prop] using exists_eq_right
@[simp] theorem map_cast_heq {α β} (h : α = β) (s : finset α) :
s.map (equiv.cast h).to_embedding == s :=
by { subst h, simp }
theorem map_map {g : β ↪ γ} : (s.map f).map g = s.map (f.trans g) :=
eq_of_veq $ by simp only [map_val, multiset.map_map]; refl
theorem map_subset_map {s₁ s₂ : finset α} : s₁.map f ⊆ s₂.map f ↔ s₁ ⊆ s₂ :=
⟨λ h x xs, (mem_map' _).1 $ h $ (mem_map' f).2 xs,
λ h, by simp [subset_def, map_subset_map h]⟩
theorem map_inj {s₁ s₂ : finset α} : s₁.map f = s₂.map f ↔ s₁ = s₂ :=
by simp only [subset.antisymm_iff, map_subset_map]
/-- Associate to an embedding `f` from `α` to `β` the embedding that maps a finset to its image
under `f`. -/
def map_embedding (f : α ↪ β) : finset α ↪ finset β := ⟨map f, λ s₁ s₂, map_inj.1⟩
@[simp] theorem map_embedding_apply : map_embedding f s = map f s := rfl
theorem map_filter {p : β → Prop} [decidable_pred p] :
(s.map f).filter p = (s.filter (p ∘ f)).map f :=
eq_of_veq (map_filter _ _ _)
theorem map_union [decidable_eq α] [decidable_eq β]
{f : α ↪ β} (s₁ s₂ : finset α) : (s₁ ∪ s₂).map f = s₁.map f ∪ s₂.map f :=
ext $ λ _, by simp only [mem_map, mem_union, exists_prop, or_and_distrib_right, exists_or_distrib]
theorem map_inter [decidable_eq α] [decidable_eq β]
{f : α ↪ β} (s₁ s₂ : finset α) : (s₁ ∩ s₂).map f = s₁.map f ∩ s₂.map f :=
ext $ λ b, by simp only [mem_map, mem_inter, exists_prop]; exact
⟨by rintro ⟨a, ⟨m₁, m₂⟩, rfl⟩; exact ⟨⟨a, m₁, rfl⟩, ⟨a, m₂, rfl⟩⟩,
by rintro ⟨⟨a, m₁, e⟩, ⟨a', m₂, rfl⟩⟩; cases f.2 e; exact ⟨_, ⟨m₁, m₂⟩, rfl⟩⟩
@[simp] theorem map_singleton (f : α ↪ β) (a : α) : map f {a} = {f a} :=
ext $ λ _, by simp only [mem_map, mem_singleton, exists_prop, exists_eq_left]; exact eq_comm
@[simp] theorem map_insert [decidable_eq α] [decidable_eq β]
(f : α ↪ β) (a : α) (s : finset α) :
(insert a s).map f = insert (f a) (s.map f) :=
by simp only [insert_eq, map_union, map_singleton]
@[simp] theorem map_eq_empty : s.map f = ∅ ↔ s = ∅ :=
⟨λ h, eq_empty_of_forall_not_mem $
λ a m, ne_empty_of_mem (mem_map_of_mem _ m) h, λ e, e.symm ▸ rfl⟩
lemma attach_map_val {s : finset α} : s.attach.map (embedding.subtype _) = s :=
eq_of_veq $ by rw [map_val, attach_val]; exact attach_map_val _
lemma nonempty.map (h : s.nonempty) (f : α ↪ β) : (s.map f).nonempty :=
let ⟨a, ha⟩ := h in ⟨f a, (mem_map' f).mpr ha⟩
end map
lemma range_add_one' (n : ℕ) :
range (n + 1) = insert 0 ((range n).map ⟨λi, i + 1, assume i j, nat.succ.inj⟩) :=
by ext (⟨⟩ | ⟨n⟩); simp [nat.succ_eq_add_one, nat.zero_lt_succ n]
/-! ### image -/
section image
variables [decidable_eq β]
/-- `image f s` is the forward image of `s` under `f`. -/
def image (f : α → β) (s : finset α) : finset β := (s.1.map f).to_finset
@[simp] theorem image_val (f : α → β) (s : finset α) : (image f s).1 = (s.1.map f).erase_dup := rfl
@[simp] theorem image_empty (f : α → β) : (∅ : finset α).image f = ∅ := rfl
variables {f : α → β} {s : finset α}
@[simp] theorem mem_image {b : β} : b ∈ s.image f ↔ ∃ a ∈ s, f a = b :=
by simp only [mem_def, image_val, mem_erase_dup, multiset.mem_map, exists_prop]
theorem mem_image_of_mem (f : α → β) {a} {s : finset α} (h : a ∈ s) : f a ∈ s.image f :=
mem_image.2 ⟨_, h, rfl⟩
lemma filter_mem_image_eq_image (f : α → β) (s : finset α) (t : finset β) (h : ∀ x ∈ s, f x ∈ t) :
t.filter (λ y, y ∈ s.image f) = s.image f :=
by { ext, rw [mem_filter, mem_image],
simp only [and_imp, exists_prop, and_iff_right_iff_imp, exists_imp_distrib],
rintros x xel rfl, exact h _ xel }
lemma fiber_nonempty_iff_mem_image (f : α → β) (s : finset α) (y : β) :
(s.filter (λ x, f x = y)).nonempty ↔ y ∈ s.image f :=
by simp [finset.nonempty]
@[simp, norm_cast] lemma coe_image {f : α → β} : ↑(s.image f) = f '' ↑s :=
set.ext $ λ _, mem_image.trans set.mem_image_iff_bex.symm
lemma nonempty.image (h : s.nonempty) (f : α → β) : (s.image f).nonempty :=
let ⟨a, ha⟩ := h in ⟨f a, mem_image_of_mem f ha⟩
@[simp]
lemma nonempty.image_iff (f : α → β) : (s.image f).nonempty ↔ s.nonempty :=
⟨λ ⟨y, hy⟩, let ⟨x, hx, _⟩ := mem_image.mp hy in ⟨x, hx⟩, λ h, h.image f⟩
theorem image_to_finset [decidable_eq α] {s : multiset α} :
s.to_finset.image f = (s.map f).to_finset :=
ext $ λ _, by simp only [mem_image, multiset.mem_to_finset, exists_prop, multiset.mem_map]
theorem image_val_of_inj_on (H : set.inj_on f s) : (image f s).1 = s.1.map f :=
multiset.erase_dup_eq_self.2 (nodup_map_on H s.2)
@[simp]
theorem image_id [decidable_eq α] : s.image id = s :=
ext $ λ _, by simp only [mem_image, exists_prop, id, exists_eq_right]
theorem image_image [decidable_eq γ] {g : β → γ} : (s.image f).image g = s.image (g ∘ f) :=
eq_of_veq $ by simp only [image_val, erase_dup_map_erase_dup_eq, multiset.map_map]
theorem image_subset_image {s₁ s₂ : finset α} (h : s₁ ⊆ s₂) : s₁.image f ⊆ s₂.image f :=
by simp only [subset_def, image_val, subset_erase_dup', erase_dup_subset',
multiset.map_subset_map h]
theorem image_subset_iff {s : finset α} {t : finset β} {f : α → β} :
s.image f ⊆ t ↔ ∀ x ∈ s, f x ∈ t :=
calc s.image f ⊆ t ↔ f '' ↑s ⊆ ↑t : by norm_cast
... ↔ _ : set.image_subset_iff
theorem image_mono (f : α → β) : monotone (finset.image f) := λ _ _, image_subset_image
theorem coe_image_subset_range : ↑(s.image f) ⊆ set.range f :=
calc ↑(s.image f) = f '' ↑s : coe_image
... ⊆ set.range f : set.image_subset_range f ↑s
theorem image_filter {p : β → Prop} [decidable_pred p] :
(s.image f).filter p = (s.filter (p ∘ f)).image f :=
ext $ λ b, by simp only [mem_filter, mem_image, exists_prop]; exact
⟨by rintro ⟨⟨x, h1, rfl⟩, h2⟩; exact ⟨x, ⟨h1, h2⟩, rfl⟩,
by rintro ⟨x, ⟨h1, h2⟩, rfl⟩; exact ⟨⟨x, h1, rfl⟩, h2⟩⟩
theorem image_union [decidable_eq α] {f : α → β} (s₁ s₂ : finset α) :
(s₁ ∪ s₂).image f = s₁.image f ∪ s₂.image f :=
ext $ λ _, by simp only [mem_image, mem_union, exists_prop, or_and_distrib_right,
exists_or_distrib]
theorem image_inter [decidable_eq α] (s₁ s₂ : finset α) (hf : ∀x y, f x = f y → x = y) :
(s₁ ∩ s₂).image f = s₁.image f ∩ s₂.image f :=
ext $ by simp only [mem_image, exists_prop, mem_inter]; exact λ b,
⟨λ ⟨a, ⟨m₁, m₂⟩, e⟩, ⟨⟨a, m₁, e⟩, ⟨a, m₂, e⟩⟩,
λ ⟨⟨a, m₁, e₁⟩, ⟨a', m₂, e₂⟩⟩, ⟨a, ⟨m₁, hf _ _ (e₂.trans e₁.symm) ▸ m₂⟩, e₁⟩⟩.
@[simp] theorem image_singleton (f : α → β) (a : α) : image f {a} = {f a} :=
ext $ λ x, by simpa only [mem_image, exists_prop, mem_singleton, exists_eq_left] using eq_comm
@[simp] theorem image_insert [decidable_eq α] (f : α → β) (a : α) (s : finset α) :
(insert a s).image f = insert (f a) (s.image f) :=
by simp only [insert_eq, image_singleton, image_union]
@[simp] theorem image_eq_empty : s.image f = ∅ ↔ s = ∅ :=
⟨λ h, eq_empty_of_forall_not_mem $
λ a m, ne_empty_of_mem (mem_image_of_mem _ m) h, λ e, e.symm ▸ rfl⟩
lemma mem_range_iff_mem_finset_range_of_mod_eq' [decidable_eq α] {f : ℕ → α} {a : α} {n : ℕ}
(hn : 0 < n) (h : ∀i, f (i % n) = f i) :
a ∈ set.range f ↔ a ∈ (finset.range n).image (λi, f i) :=
begin
split,
{ rintros ⟨i, hi⟩,
simp only [mem_image, exists_prop, mem_range],
exact ⟨i % n, nat.mod_lt i hn, (rfl.congr hi).mp (h i)⟩ },
{ rintro h,
simp only [mem_image, exists_prop, set.mem_range, mem_range] at *,
rcases h with ⟨i, hi, ha⟩,
use ⟨i, ha⟩ },
end
lemma mem_range_iff_mem_finset_range_of_mod_eq [decidable_eq α] {f : ℤ → α} {a : α} {n : ℕ}
(hn : 0 < n) (h : ∀i, f (i % n) = f i) :
a ∈ set.range f ↔ a ∈ (finset.range n).image (λi, f i) :=
suffices (∃i, f (i % n) = a) ↔ ∃i, i < n ∧ f ↑i = a, by simpa [h],
have hn' : 0 < (n : ℤ), from int.coe_nat_lt.mpr hn,
iff.intro
(assume ⟨i, hi⟩,
have 0 ≤ i % ↑n, from int.mod_nonneg _ (ne_of_gt hn'),
⟨int.to_nat (i % n),
by rw [←int.coe_nat_lt, int.to_nat_of_nonneg this]; exact ⟨int.mod_lt_of_pos i hn', hi⟩⟩)
(assume ⟨i, hi, ha⟩,
⟨i, by rw [int.mod_eq_of_lt (int.coe_zero_le _) (int.coe_nat_lt_coe_nat_of_lt hi), ha]⟩)
lemma attach_image_val [decidable_eq α] {s : finset α} : s.attach.image subtype.val = s :=
eq_of_veq $ by rw [image_val, attach_val, multiset.attach_map_val, erase_dup_eq_self]
@[simp] lemma attach_insert [decidable_eq α] {a : α} {s : finset α} :
attach (insert a s) = insert (⟨a, mem_insert_self a s⟩ : {x // x ∈ insert a s})
((attach s).image (λx, ⟨x.1, mem_insert_of_mem x.2⟩)) :=
ext $ λ ⟨x, hx⟩, ⟨or.cases_on (mem_insert.1 hx)
(λ h : x = a, λ _, mem_insert.2 $ or.inl $ subtype.eq h)
(λ h : x ∈ s, λ _, mem_insert_of_mem $ mem_image.2 $ ⟨⟨x, h⟩, mem_attach _ _, subtype.eq rfl⟩),
λ _, finset.mem_attach _ _⟩
theorem map_eq_image (f : α ↪ β) (s : finset α) : s.map f = s.image f :=
eq_of_veq $ (multiset.erase_dup_eq_self.2 (s.map f).2).symm
lemma image_const {s : finset α} (h : s.nonempty) (b : β) : s.image (λa, b) = singleton b :=
ext $ assume b', by simp only [mem_image, exists_prop, exists_and_distrib_right,
h.bex, true_and, mem_singleton, eq_comm]
/--
Because `finset.image` requires a `decidable_eq` instances for the target type,
we can only construct a `functor finset` when working classically.
-/
instance [Π P, decidable P] : functor finset :=
{ map := λ α β f s, s.image f, }
instance [Π P, decidable P] : is_lawful_functor finset :=
{ id_map := λ α x, image_id,
comp_map := λ α β γ f g s, image_image.symm, }
/-- Given a finset `s` and a predicate `p`, `s.subtype p` is the finset of `subtype p` whose
elements belong to `s`. -/
protected def subtype {α} (p : α → Prop) [decidable_pred p] (s : finset α) : finset (subtype p) :=
(s.filter p).attach.map ⟨λ x, ⟨x.1, (finset.mem_filter.1 x.2).2⟩,
λ x y H, subtype.eq $ subtype.mk.inj H⟩
@[simp] lemma mem_subtype {p : α → Prop} [decidable_pred p] {s : finset α} :
∀{a : subtype p}, a ∈ s.subtype p ↔ (a : α) ∈ s
| ⟨a, ha⟩ := by simp [finset.subtype, ha]
lemma subtype_eq_empty {p : α → Prop} [decidable_pred p] {s : finset α} :
s.subtype p = ∅ ↔ ∀ x, p x → x ∉ s :=
by simp [ext_iff, subtype.forall, subtype.coe_mk]; refl
/-- `s.subtype p` converts back to `s.filter p` with
`embedding.subtype`. -/
@[simp] lemma subtype_map (p : α → Prop) [decidable_pred p] :
(s.subtype p).map (embedding.subtype _) = s.filter p :=
begin
ext x,
rw mem_map,
change (∃ a : {x // p x}, ∃ H, (a : α) = x) ↔ _,
split,
{ rintros ⟨y, hy, hyval⟩,
rw [mem_subtype, hyval] at hy,
rw mem_filter,
use hy,
rw ← hyval,
use y.property },
{ intro hx,
rw mem_filter at hx,
use ⟨⟨x, hx.2⟩, mem_subtype.2 hx.1, rfl⟩ }
end
/-- If all elements of a `finset` satisfy the predicate `p`,
`s.subtype p` converts back to `s` with `embedding.subtype`. -/
lemma subtype_map_of_mem {p : α → Prop} [decidable_pred p] (h : ∀ x ∈ s, p x) :
(s.subtype p).map (embedding.subtype _) = s :=
by rw [subtype_map, filter_true_of_mem h]
/-- If a `finset` of a subtype is converted to the main type with
`embedding.subtype`, all elements of the result have the property of
the subtype. -/
lemma property_of_mem_map_subtype {p : α → Prop} (s : finset {x // p x}) {a : α}
(h : a ∈ s.map (embedding.subtype _)) : p a :=
begin
rcases mem_map.1 h with ⟨x, hx, rfl⟩,
exact x.2
end
/-- If a `finset` of a subtype is converted to the main type with
`embedding.subtype`, the result does not contain any value that does
not satisfy the property of the subtype. -/
lemma not_mem_map_subtype_of_not_property {p : α → Prop} (s : finset {x // p x})
{a : α} (h : ¬ p a) : a ∉ (s.map (embedding.subtype _)) :=
mt s.property_of_mem_map_subtype h
/-- If a `finset` of a subtype is converted to the main type with
`embedding.subtype`, the result is a subset of the set giving the
subtype. -/
lemma map_subtype_subset {t : set α} (s : finset t) :
↑(s.map (embedding.subtype _)) ⊆ t :=
begin
intros a ha,
rw mem_coe at ha,
convert property_of_mem_map_subtype s ha
end
lemma subset_image_iff {f : α → β}
{s : finset β} {t : set α} : ↑s ⊆ f '' t ↔ ∃s' : finset α, ↑s' ⊆ t ∧ s'.image f = s :=
begin
classical,
split, swap,
{ rintro ⟨s, hs, rfl⟩, rw [coe_image], exact set.image_subset f hs },
intro h, induction s using finset.induction with a s has ih h,
{ refine ⟨∅, set.empty_subset _, _⟩,
convert finset.image_empty _ },
rw [finset.coe_insert, set.insert_subset] at h,
rcases ih h.2 with ⟨s', hst, hsi⟩,
rcases h.1 with ⟨x, hxt, rfl⟩,
refine ⟨insert x s', _, _⟩,
{ rw [finset.coe_insert, set.insert_subset], exact ⟨hxt, hst⟩ },
rw [finset.image_insert, hsi],
congr
end
end image
end finset
theorem multiset.to_finset_map [decidable_eq α] [decidable_eq β] (f : α → β) (m : multiset α) :
(m.map f).to_finset = m.to_finset.image f :=
finset.val_inj.1 (multiset.erase_dup_map_erase_dup_eq _ _).symm
namespace finset
/-! ### card -/
section card
/-- `card s` is the cardinality (number of elements) of `s`. -/
def card (s : finset α) : nat := s.1.card
theorem card_def (s : finset α) : s.card = s.1.card := rfl
@[simp] lemma card_mk {m nodup} : (⟨m, nodup⟩ : finset α).card = m.card := rfl
@[simp] theorem card_empty : card (∅ : finset α) = 0 := rfl
theorem card_le_of_subset {s t : finset α} : s ⊆ t → card s ≤ card t :=
multiset.card_le_of_le ∘ val_le_iff.mpr
@[simp] theorem card_eq_zero {s : finset α} : card s = 0 ↔ s = ∅ :=
card_eq_zero.trans val_eq_zero
theorem card_pos {s : finset α} : 0 < card s ↔ s.nonempty :=
pos_iff_ne_zero.trans $ (not_congr card_eq_zero).trans nonempty_iff_ne_empty.symm
theorem card_ne_zero_of_mem {s : finset α} {a : α} (h : a ∈ s) : card s ≠ 0 :=
(not_congr card_eq_zero).2 (ne_empty_of_mem h)
theorem card_eq_one {s : finset α} : s.card = 1 ↔ ∃ a, s = {a} :=
by cases s; simp only [multiset.card_eq_one, finset.card, ← val_inj, singleton_val]
theorem card_le_one {s : finset α} : s.card ≤ 1 ↔ ∀ (a ∈ s) (b ∈ s), a = b :=
begin
rcases s.eq_empty_or_nonempty with rfl|⟨x, hx⟩, { simp },
refine (nat.succ_le_of_lt (card_pos.2 ⟨x, hx⟩)).le_iff_eq.trans (card_eq_one.trans ⟨_, _⟩),
{ rintro ⟨y, rfl⟩, simp },
{ exact λ h, ⟨x, eq_singleton_iff_unique_mem.2 ⟨hx, λ y hy, h _ hy _ hx⟩⟩ }
end
theorem card_le_one_iff {s : finset α} : s.card ≤ 1 ↔ ∀ {a b}, a ∈ s → b ∈ s → a = b :=
by { rw card_le_one, tauto }
lemma card_le_one_iff_subset_singleton [nonempty α] {s : finset α} :
s.card ≤ 1 ↔ ∃ (x : α), s ⊆ {x} :=
begin
split,
{ assume H,
by_cases h : ∃ x, x ∈ s,
{ rcases h with ⟨x, hx⟩,
refine ⟨x, λ y hy, _⟩,
rw [card_le_one.1 H y hy x hx, mem_singleton] },
{ push_neg at h,
inhabit α,
exact ⟨default α, λ y hy, (h y hy).elim⟩ } },
{ rintros ⟨x, hx⟩,
rw ← card_singleton x,
exact card_le_of_subset hx }
end
/-- A `finset` of a subsingleton type has cardinality at most one. -/
lemma card_le_one_of_subsingleton [subsingleton α] (s : finset α) : s.card ≤ 1 :=
finset.card_le_one_iff.2 $ λ _ _ _ _, subsingleton.elim _ _
theorem one_lt_card {s : finset α} : 1 < s.card ↔ ∃ (a ∈ s) (b ∈ s), a ≠ b :=
by { rw ← not_iff_not, push_neg, exact card_le_one }
lemma one_lt_card_iff {s : finset α} :
1 < s.card ↔ ∃ x y, (x ∈ s) ∧ (y ∈ s) ∧ x ≠ y :=
by { rw one_lt_card, simp only [exists_prop, exists_and_distrib_left] }
@[simp] theorem card_insert_of_not_mem [decidable_eq α]
{a : α} {s : finset α} (h : a ∉ s) : card (insert a s) = card s + 1 :=
by simpa only [card_cons, card, insert_val] using
congr_arg multiset.card (ndinsert_of_not_mem h)
theorem card_insert_of_mem [decidable_eq α] {a : α} {s : finset α}
(h : a ∈ s) : card (insert a s) = card s := by rw insert_eq_of_mem h
theorem card_insert_le [decidable_eq α] (a : α) (s : finset α) : card (insert a s) ≤ card s + 1 :=
by by_cases a ∈ s; [{rw [insert_eq_of_mem h], apply nat.le_add_right},
rw [card_insert_of_not_mem h]]
@[simp] theorem card_singleton (a : α) : card ({a} : finset α) = 1 := card_singleton _
lemma card_singleton_inter [decidable_eq α] {x : α} {s : finset α} : ({x} ∩ s).card ≤ 1 :=
begin
cases (finset.decidable_mem x s),
{ simp [finset.singleton_inter_of_not_mem h] },
{ simp [finset.singleton_inter_of_mem h] },
end
theorem card_erase_of_mem [decidable_eq α] {a : α} {s : finset α} :
a ∈ s → card (erase s a) = pred (card s) := card_erase_of_mem
theorem card_erase_lt_of_mem [decidable_eq α] {a : α} {s : finset α} :
a ∈ s → card (erase s a) < card s := card_erase_lt_of_mem
theorem card_erase_le [decidable_eq α] {a : α} {s : finset α} :
card (erase s a) ≤ card s := card_erase_le
theorem pred_card_le_card_erase [decidable_eq α] {a : α} {s : finset α} :
card s - 1 ≤ card (erase s a) :=
begin
by_cases h : a ∈ s,
{ rw [card_erase_of_mem h], refl },
{ rw [erase_eq_of_not_mem h], apply nat.sub_le }
end
@[simp] theorem card_range (n : ℕ) : card (range n) = n := card_range n
@[simp] theorem card_attach {s : finset α} : card (attach s) = card s := multiset.card_attach
end card
end finset
theorem multiset.to_finset_card_le [decidable_eq α] (m : multiset α) : m.to_finset.card ≤ m.card :=
card_le_of_le (erase_dup_le _)
lemma list.card_to_finset [decidable_eq α] (l : list α) :
finset.card l.to_finset = l.erase_dup.length := rfl
theorem list.to_finset_card_le [decidable_eq α] (l : list α) : l.to_finset.card ≤ l.length :=
multiset.to_finset_card_le ⟦l⟧
namespace finset
section card
theorem card_image_le [decidable_eq β] {f : α → β} {s : finset α} : card (image f s) ≤ card s :=
by simpa only [card_map] using (s.1.map f).to_finset_card_le
theorem card_image_of_inj_on [decidable_eq β] {f : α → β} {s : finset α}
(H : set.inj_on f s) : card (image f s) = card s :=
by simp only [card, image_val_of_inj_on H, card_map]
theorem inj_on_of_card_image_eq [decidable_eq β] {f : α → β} {s : finset α}
(H : card (image f s) = card s) :
set.inj_on f s :=
begin
change (s.1.map f).erase_dup.card = s.1.card at H,
have : (s.1.map f).erase_dup = s.1.map f,
{ apply multiset.eq_of_le_of_card_le,
{ apply multiset.erase_dup_le },
rw H,
simp only [multiset.card_map] },
rw multiset.erase_dup_eq_self at this,
apply inj_on_of_nodup_map this,
end
theorem card_image_eq_iff_inj_on [decidable_eq β] {f : α → β} {s : finset α} :
(s.image f).card = s.card ↔ set.inj_on f s :=
⟨inj_on_of_card_image_eq, card_image_of_inj_on⟩
theorem card_image_of_injective [decidable_eq β] {f : α → β} (s : finset α)
(H : injective f) : card (image f s) = card s :=
card_image_of_inj_on $ λ x _ y _ h, H h
lemma fiber_card_ne_zero_iff_mem_image (s : finset α) (f : α → β) [decidable_eq β] (y : β) :
(s.filter (λ x, f x = y)).card ≠ 0 ↔ y ∈ s.image f :=
by { rw [←pos_iff_ne_zero, card_pos, fiber_nonempty_iff_mem_image] }
@[simp] lemma card_map {α β} (f : α ↪ β) {s : finset α} : (s.map f).card = s.card :=
multiset.card_map _ _
@[simp] lemma card_subtype (p : α → Prop) [decidable_pred p] (s : finset α) :
(s.subtype p).card = (s.filter p).card :=
by simp [finset.subtype]
lemma card_eq_of_bijective {s : finset α} {n : ℕ}
(f : ∀i, i < n → α)
(hf : ∀a∈s, ∃i, ∃h:i<n, f i h = a) (hf' : ∀i (h : i < n), f i h ∈ s)
(f_inj : ∀i j (hi : i < n) (hj : j < n), f i hi = f j hj → i = j) :
card s = n :=
begin
classical,
have : ∀ (a : α), a ∈ s ↔ ∃i (hi : i ∈ range n), f i (mem_range.1 hi) = a,
from assume a, ⟨assume ha, let ⟨i, hi, eq⟩ := hf a ha in ⟨i, mem_range.2 hi, eq⟩,
assume ⟨i, hi, eq⟩, eq ▸ hf' i (mem_range.1 hi)⟩,
have : s = ((range n).attach.image $ λi, f i.1 (mem_range.1 i.2)),
by simpa only [ext_iff, mem_image, exists_prop, subtype.exists, mem_attach, true_and],
calc card s = card ((range n).attach.image $ λi, f i.1 (mem_range.1 i.2)) :
by rw [this]
... = card ((range n).attach) :
card_image_of_injective _ $ assume ⟨i, hi⟩ ⟨j, hj⟩ eq,
subtype.eq $ f_inj i j (mem_range.1 hi) (mem_range.1 hj) eq
... = card (range n) : card_attach
... = n : card_range n
end
lemma card_eq_succ [decidable_eq α] {s : finset α} {n : ℕ} :
s.card = n + 1 ↔ (∃a t, a ∉ t ∧ insert a t = s ∧ card t = n) :=
iff.intro
(assume eq,
have 0 < card s, from eq.symm ▸ nat.zero_lt_succ _,
let ⟨a, has⟩ := card_pos.mp this in
⟨a, s.erase a, s.not_mem_erase a, insert_erase has,
by simp only [eq, card_erase_of_mem has, pred_succ]⟩)
(assume ⟨a, t, hat, s_eq, n_eq⟩, s_eq ▸ n_eq ▸ card_insert_of_not_mem hat)
theorem card_filter_le (s : finset α) (p : α → Prop) [decidable_pred p] :
card (s.filter p) ≤ card s :=
card_le_of_subset $ filter_subset _ _
theorem eq_of_subset_of_card_le {s t : finset α} (h : s ⊆ t) (h₂ : card t ≤ card s) : s = t :=
eq_of_veq $ multiset.eq_of_le_of_card_le (val_le_iff.mpr h) h₂
lemma card_lt_card {s t : finset α} (h : s ⊂ t) : s.card < t.card :=
card_lt_of_lt (val_lt_iff.2 h)
lemma card_le_card_of_inj_on {s : finset α} {t : finset β}
(f : α → β) (hf : ∀a∈s, f a ∈ t) (f_inj : ∀a₁∈s, ∀a₂∈s, f a₁ = f a₂ → a₁ = a₂) :
card s ≤ card t :=
begin
classical,
calc card s = card (s.image f) : by rw [card_image_of_inj_on f_inj]
... ≤ card t : card_le_of_subset $ image_subset_iff.2 hf
end
/--
If there are more pigeons than pigeonholes, then there are two pigeons
in the same pigeonhole.
-/
lemma exists_ne_map_eq_of_card_lt_of_maps_to {s : finset α} {t : finset β} (hc : t.card < s.card)
{f : α → β} (hf : ∀ a ∈ s, f a ∈ t) :
∃ (x ∈ s) (y ∈ s), x ≠ y ∧ f x = f y :=
begin
classical, by_contra hz, push_neg at hz,
refine hc.not_le (card_le_card_of_inj_on f hf _),
intros x hx y hy, contrapose, exact hz x hx y hy,
end
lemma le_card_of_inj_on_range {n} {s : finset α}
(f : ℕ → α) (hf : ∀i<n, f i ∈ s) (f_inj : ∀ (i<n) (j<n), f i = f j → i = j) : n ≤ card s :=
calc n = card (range n) : (card_range n).symm
... ≤ card s : card_le_card_of_inj_on f (by simpa only [mem_range]) (by simpa only [mem_range])
/-- Suppose that, given objects defined on all strict subsets of any finset `s`, one knows how to
define an object on `s`. Then one can inductively define an object on all finsets, starting from
the empty set and iterating. This can be used either to define data, or to prove properties. -/
def strong_induction {p : finset α → Sort*} (H : ∀ s, (∀ t ⊂ s, p t) → p s) :
∀ (s : finset α), p s
| s := H s (λ t h, have card t < card s, from card_lt_card h, strong_induction t)
using_well_founded {rel_tac := λ _ _, `[exact ⟨_, measure_wf card⟩]}
lemma strong_induction_eq {p : finset α → Sort*} (H : ∀ s, (∀ t ⊂ s, p t) → p s) (s : finset α) :
strong_induction H s = H s (λ t h, strong_induction H t) :=
by rw strong_induction
/-- Analogue of `strong_induction` with order of arguments swapped. -/
@[elab_as_eliminator] def strong_induction_on {p : finset α → Sort*} :
∀ (s : finset α), (∀s, (∀ t ⊂ s, p t) → p s) → p s :=
λ s H, strong_induction H s
lemma strong_induction_on_eq {p : finset α → Sort*} (s : finset α) (H : ∀ s, (∀ t ⊂ s, p t) → p s) :
s.strong_induction_on H = H s (λ t h, t.strong_induction_on H) :=
by { dunfold strong_induction_on, rw strong_induction }
@[elab_as_eliminator] lemma case_strong_induction_on [decidable_eq α] {p : finset α → Prop}
(s : finset α) (h₀ : p ∅) (h₁ : ∀ a s, a ∉ s → (∀ t ⊆ s, p t) → p (insert a s)) : p s :=
finset.strong_induction_on s $ λ s,
finset.induction_on s (λ _, h₀) $ λ a s n _ ih, h₁ a s n $
λ t ss, ih _ (lt_of_le_of_lt ss (ssubset_insert n) : t < _)
lemma card_congr {s : finset α} {t : finset β} (f : Π a ∈ s, β)
(h₁ : ∀ a ha, f a ha ∈ t) (h₂ : ∀ a b ha hb, f a ha = f b hb → a = b)
(h₃ : ∀ b ∈ t, ∃ a ha, f a ha = b) : s.card = t.card :=
by haveI := classical.prop_decidable; exact
calc s.card = s.attach.card : card_attach.symm
... = (s.attach.image (λ (a : {a // a ∈ s}), f a.1 a.2)).card :
eq.symm (card_image_of_injective _ (λ a b h, subtype.eq (h₂ _ _ _ _ h)))
... = t.card : congr_arg card (finset.ext $ λ b,
⟨λ h, let ⟨a, ha₁, ha₂⟩ := mem_image.1 h in ha₂ ▸ h₁ _ _,
λ h, let ⟨a, ha₁, ha₂⟩ := h₃ b h in mem_image.2 ⟨⟨a, ha₁⟩, by simp [ha₂]⟩⟩)
lemma card_union_add_card_inter [decidable_eq α] (s t : finset α) :
(s ∪ t).card + (s ∩ t).card = s.card + t.card :=
finset.induction_on t (by simp) $ λ a r har, by by_cases a ∈ s; simp *; cc
lemma card_union_le [decidable_eq α] (s t : finset α) :
(s ∪ t).card ≤ s.card + t.card :=
card_union_add_card_inter s t ▸ le_add_right _ _
lemma card_union_eq [decidable_eq α] {s t : finset α} (h : disjoint s t) :
(s ∪ t).card = s.card + t.card :=
begin
rw [← card_union_add_card_inter],
convert (add_zero _).symm, rw [card_eq_zero], rwa [disjoint_iff] at h
end
lemma surj_on_of_inj_on_of_card_le {s : finset α} {t : finset β}
(f : Π a ∈ s, β) (hf : ∀ a ha, f a ha ∈ t)
(hinj : ∀ a₁ a₂ ha₁ ha₂, f a₁ ha₁ = f a₂ ha₂ → a₁ = a₂)
(hst : card t ≤ card s) :
(∀ b ∈ t, ∃ a ha, b = f a ha) :=
by haveI := classical.dec_eq β; exact
λ b hb,
have h : card (image (λ (a : {a // a ∈ s}), f a a.prop) (attach s)) = card s,
from @card_attach _ s ▸ card_image_of_injective _
(λ ⟨a₁, ha₁⟩ ⟨a₂, ha₂⟩ h, subtype.eq $ hinj _ _ _ _ h),
have h₁ : image (λ a : {a // a ∈ s}, f a a.prop) s.attach = t :=
eq_of_subset_of_card_le (λ b h, let ⟨a, ha₁, ha₂⟩ := mem_image.1 h in
ha₂ ▸ hf _ _) (by simp [hst, h]),
begin
rw ← h₁ at hb,
rcases mem_image.1 hb with ⟨a, ha₁, ha₂⟩,
exact ⟨a, a.2, ha₂.symm⟩,
end
open function
lemma inj_on_of_surj_on_of_card_le {s : finset α} {t : finset β}
(f : Π a ∈ s, β) (hf : ∀ a ha, f a ha ∈ t)
(hsurj : ∀ b ∈ t, ∃ a ha, b = f a ha)
(hst : card s ≤ card t)
⦃a₁ a₂⦄ (ha₁ : a₁ ∈ s) (ha₂ : a₂ ∈ s)
(ha₁a₂: f a₁ ha₁ = f a₂ ha₂) : a₁ = a₂ :=
by haveI : inhabited {x // x ∈ s} := ⟨⟨a₁, ha₁⟩⟩; exact
let f' : {x // x ∈ s} → {x // x ∈ t} := λ x, ⟨f x.1 x.2, hf x.1 x.2⟩ in
let g : {x // x ∈ t} → {x // x ∈ s} :=
@surj_inv _ _ f'
(λ x, let ⟨y, hy₁, hy₂⟩ := hsurj x.1 x.2 in ⟨⟨y, hy₁⟩, subtype.eq hy₂.symm⟩) in
have hg : injective g, from injective_surj_inv _,
have hsg : surjective g, from λ x,
let ⟨y, hy⟩ := surj_on_of_inj_on_of_card_le (λ (x : {x // x ∈ t}) (hx : x ∈ t.attach), g x)
(λ x _, show (g x) ∈ s.attach, from mem_attach _ _)
(λ x y _ _ hxy, hg hxy) (by simpa) x (mem_attach _ _) in
⟨y, hy.snd.symm⟩,
have hif : injective f',
from (left_inverse_of_surjective_of_right_inverse hsg
(right_inverse_surj_inv _)).injective,
subtype.ext_iff_val.1 (@hif ⟨a₁, ha₁⟩ ⟨a₂, ha₂⟩ (subtype.eq ha₁a₂))
end card
section bUnion
/-!
### bUnion
This section is about the bounded union of an indexed family `t : α → finset β` of finite sets
over a finite set `s : finset α`.
-/
variables [decidable_eq β] {s : finset α} {t : α → finset β}
/-- `bUnion s t` is the union of `t x` over `x ∈ s`.
(This was formerly `bind` due to the monad structure on types with `decidable_eq`.) -/
protected def bUnion (s : finset α) (t : α → finset β) : finset β :=
(s.1.bind (λ a, (t a).1)).to_finset
@[simp] theorem bUnion_val (s : finset α) (t : α → finset β) :
(s.bUnion t).1 = (s.1.bind (λ a, (t a).1)).erase_dup := rfl
@[simp] theorem bUnion_empty : finset.bUnion ∅ t = ∅ := rfl
@[simp] theorem mem_bUnion {b : β} : b ∈ s.bUnion t ↔ ∃a∈s, b ∈ t a :=
by simp only [mem_def, bUnion_val, mem_erase_dup, mem_bind, exists_prop]
@[simp] theorem bUnion_insert [decidable_eq α] {a : α} : (insert a s).bUnion t = t a ∪ s.bUnion t :=
ext $ λ x, by simp only [mem_bUnion, exists_prop, mem_union, mem_insert,
or_and_distrib_right, exists_or_distrib, exists_eq_left]
-- ext $ λ x, by simp [or_and_distrib_right, exists_or_distrib]
@[simp] lemma singleton_bUnion {a : α} : finset.bUnion {a} t = t a :=
begin
classical,
rw [← insert_emptyc_eq, bUnion_insert, bUnion_empty, union_empty]
end
theorem bUnion_inter (s : finset α) (f : α → finset β) (t : finset β) :
s.bUnion f ∩ t = s.bUnion (λ x, f x ∩ t) :=
begin
ext x,
simp only [mem_bUnion, mem_inter],
tauto
end
theorem inter_bUnion (t : finset β) (s : finset α) (f : α → finset β) :
t ∩ s.bUnion f = s.bUnion (λ x, t ∩ f x) :=
by rw [inter_comm, bUnion_inter]; simp [inter_comm]
theorem image_bUnion [decidable_eq γ] {f : α → β} {s : finset α} {t : β → finset γ} :
(s.image f).bUnion t = s.bUnion (λa, t (f a)) :=
by haveI := classical.dec_eq α; exact
finset.induction_on s rfl (λ a s has ih,
by simp only [image_insert, bUnion_insert, ih])
theorem bUnion_image [decidable_eq γ] {s : finset α} {t : α → finset β} {f : β → γ} :
(s.bUnion t).image f = s.bUnion (λa, (t a).image f) :=
by haveI := classical.dec_eq α; exact
finset.induction_on s rfl (λ a s has ih,
by simp only [bUnion_insert, image_union, ih])
theorem bind_to_finset [decidable_eq α] (s : multiset α) (t : α → multiset β) :
(s.bind t).to_finset = s.to_finset.bUnion (λa, (t a).to_finset) :=
ext $ λ x, by simp only [multiset.mem_to_finset, mem_bUnion, multiset.mem_bind, exists_prop]
lemma bUnion_mono {t₁ t₂ : α → finset β} (h : ∀a∈s, t₁ a ⊆ t₂ a) : s.bUnion t₁ ⊆ s.bUnion t₂ :=
have ∀b a, a ∈ s → b ∈ t₁ a → (∃ (a : α), a ∈ s ∧ b ∈ t₂ a),
from assume b a ha hb, ⟨a, ha, finset.mem_of_subset (h a ha) hb⟩,
by simpa only [subset_iff, mem_bUnion, exists_imp_distrib, and_imp, exists_prop]
lemma bUnion_subset_bUnion_of_subset_left {α : Type*} {s₁ s₂ : finset α}
(t : α → finset β) (h : s₁ ⊆ s₂) : s₁.bUnion t ⊆ s₂.bUnion t :=
begin
intro x,
simp only [and_imp, mem_bUnion, exists_prop],
exact Exists.imp (λ a ha, ⟨h ha.1, ha.2⟩)
end
lemma subset_bUnion_of_mem {s : finset α}
(u : α → finset β) {x : α} (xs : x ∈ s) :
u x ⊆ s.bUnion u :=
begin
apply subset.trans _ (bUnion_subset_bUnion_of_subset_left u (singleton_subset_iff.2 xs)),
exact subset_of_eq singleton_bUnion.symm,
end
lemma bUnion_singleton {f : α → β} : s.bUnion (λa, {f a}) = s.image f :=
ext $ λ x, by simp only [mem_bUnion, mem_image, mem_singleton, eq_comm]
@[simp] lemma bUnion_singleton_eq_self [decidable_eq α] :
s.bUnion (singleton : α → finset α) = s :=
by { rw bUnion_singleton, exact image_id }
lemma bUnion_filter_eq_of_maps_to [decidable_eq α] {s : finset α} {t : finset β} {f : α → β}
(h : ∀ x ∈ s, f x ∈ t) :
t.bUnion (λa, s.filter $ (λc, f c = a)) = s :=
ext $ λ b, by simpa using h b
lemma image_bUnion_filter_eq [decidable_eq α] (s : finset β) (g : β → α) :
(s.image g).bUnion (λa, s.filter $ (λc, g c = a)) = s :=
bUnion_filter_eq_of_maps_to (λ x, mem_image_of_mem g)
lemma erase_bUnion (f : α → finset β) (s : finset α) (b : β) :
(s.bUnion f).erase b = s.bUnion (λ x, (f x).erase b) :=
by { ext, simp only [finset.mem_bUnion, iff_self, exists_and_distrib_left, finset.mem_erase] }
end bUnion
/-! ### prod -/
section prod
variables {s : finset α} {t : finset β}
/-- `product s t` is the set of pairs `(a, b)` such that `a ∈ s` and `b ∈ t`. -/
protected def product (s : finset α) (t : finset β) : finset (α × β) := ⟨_, nodup_product s.2 t.2⟩
@[simp] theorem product_val : (s.product t).1 = s.1.product t.1 := rfl
@[simp] theorem mem_product {p : α × β} : p ∈ s.product t ↔ p.1 ∈ s ∧ p.2 ∈ t := mem_product
theorem subset_product [decidable_eq α] [decidable_eq β] {s : finset (α × β)} :
s ⊆ (s.image prod.fst).product (s.image prod.snd) :=
λ p hp, mem_product.2 ⟨mem_image_of_mem _ hp, mem_image_of_mem _ hp⟩
theorem product_eq_bUnion [decidable_eq α] [decidable_eq β] (s : finset α) (t : finset β) :
s.product t = s.bUnion (λa, t.image $ λb, (a, b)) :=
ext $ λ ⟨x, y⟩, by simp only [mem_product, mem_bUnion, mem_image, exists_prop, prod.mk.inj_iff,
and.left_comm, exists_and_distrib_left, exists_eq_right, exists_eq_left]
@[simp] theorem card_product (s : finset α) (t : finset β) : card (s.product t) = card s * card t :=
multiset.card_product _ _
theorem filter_product (p : α → Prop) (q : β → Prop) [decidable_pred p] [decidable_pred q] :
(s.product t).filter (λ (x : α × β), p x.1 ∧ q x.2) = (s.filter p).product (t.filter q) :=
by { ext ⟨a, b⟩, simp only [mem_filter, mem_product], finish, }
lemma filter_product_card (s : finset α) (t : finset β)
(p : α → Prop) (q : β → Prop) [decidable_pred p] [decidable_pred q] :
((s.product t).filter (λ (x : α × β), p x.1 ↔ q x.2)).card =
(s.filter p).card * (t.filter q).card + (s.filter (not ∘ p)).card * (t.filter (not ∘ q)).card :=
begin
classical,
rw [← card_product, ← card_product, ← filter_product, ← filter_product, ← card_union_eq],
{ apply congr_arg, ext ⟨a, b⟩, simp only [filter_union_right, mem_filter, mem_product],
split; intros; finish, },
{ rw disjoint_iff, change _ ∩ _ = ∅, ext ⟨a, b⟩, rw mem_inter, finish, },
end
end prod
/-! ### sigma -/
section sigma
variables {σ : α → Type*} {s : finset α} {t : Πa, finset (σ a)}
/-- `sigma s t` is the set of dependent pairs `⟨a, b⟩` such that `a ∈ s` and `b ∈ t a`. -/
protected def sigma (s : finset α) (t : Πa, finset (σ a)) : finset (Σa, σ a) :=
⟨_, nodup_sigma s.2 (λ a, (t a).2)⟩
@[simp] theorem mem_sigma {p : sigma σ} : p ∈ s.sigma t ↔ p.1 ∈ s ∧ p.2 ∈ t (p.1) := mem_sigma
theorem sigma_mono {s₁ s₂ : finset α} {t₁ t₂ : Πa, finset (σ a)}
(H1 : s₁ ⊆ s₂) (H2 : ∀a, t₁ a ⊆ t₂ a) : s₁.sigma t₁ ⊆ s₂.sigma t₂ :=
λ ⟨x, sx⟩ H, let ⟨H3, H4⟩ := mem_sigma.1 H in mem_sigma.2 ⟨H1 H3, H2 x H4⟩
theorem sigma_eq_bUnion [decidable_eq (Σ a, σ a)] (s : finset α)
(t : Πa, finset (σ a)) :
s.sigma t = s.bUnion (λa, (t a).map $ embedding.sigma_mk a) :=
by { ext ⟨x, y⟩, simp [and.left_comm] }
end sigma
/-! ### disjoint -/
section disjoint
variable [decidable_eq α]
theorem disjoint_left {s t : finset α} : disjoint s t ↔ ∀ {a}, a ∈ s → a ∉ t :=
by simp only [_root_.disjoint, inf_eq_inter, le_iff_subset, subset_iff, mem_inter, not_and,
and_imp]; refl
theorem disjoint_val {s t : finset α} : disjoint s t ↔ s.1.disjoint t.1 :=
disjoint_left
theorem disjoint_iff_inter_eq_empty {s t : finset α} : disjoint s t ↔ s ∩ t = ∅ :=
disjoint_iff
instance decidable_disjoint (U V : finset α) : decidable (disjoint U V) :=
decidable_of_decidable_of_iff (by apply_instance) eq_bot_iff
theorem disjoint_right {s t : finset α} : disjoint s t ↔ ∀ {a}, a ∈ t → a ∉ s :=
by rw [disjoint.comm, disjoint_left]
theorem disjoint_iff_ne {s t : finset α} : disjoint s t ↔ ∀ a ∈ s, ∀ b ∈ t, a ≠ b :=
by simp only [disjoint_left, imp_not_comm, forall_eq']
theorem disjoint_of_subset_left {s t u : finset α} (h : s ⊆ u) (d : disjoint u t) : disjoint s t :=
disjoint_left.2 (λ x m₁, (disjoint_left.1 d) (h m₁))
theorem disjoint_of_subset_right {s t u : finset α} (h : t ⊆ u) (d : disjoint s u) : disjoint s t :=
disjoint_right.2 (λ x m₁, (disjoint_right.1 d) (h m₁))
@[simp] theorem disjoint_empty_left (s : finset α) : disjoint ∅ s := disjoint_bot_left
@[simp] theorem disjoint_empty_right (s : finset α) : disjoint s ∅ := disjoint_bot_right
@[simp] theorem singleton_disjoint {s : finset α} {a : α} : disjoint (singleton a) s ↔ a ∉ s :=
by simp only [disjoint_left, mem_singleton, forall_eq]
@[simp] theorem disjoint_singleton {s : finset α} {a : α} : disjoint s (singleton a) ↔ a ∉ s :=
disjoint.comm.trans singleton_disjoint
@[simp] theorem disjoint_insert_left {a : α} {s t : finset α} :
disjoint (insert a s) t ↔ a ∉ t ∧ disjoint s t :=
by simp only [disjoint_left, mem_insert, or_imp_distrib, forall_and_distrib, forall_eq]
@[simp] theorem disjoint_insert_right {a : α} {s t : finset α} :
disjoint s (insert a t) ↔ a ∉ s ∧ disjoint s t :=
disjoint.comm.trans $ by rw [disjoint_insert_left, disjoint.comm]
@[simp] theorem disjoint_union_left {s t u : finset α} :
disjoint (s ∪ t) u ↔ disjoint s u ∧ disjoint t u :=
by simp only [disjoint_left, mem_union, or_imp_distrib, forall_and_distrib]
@[simp] theorem disjoint_union_right {s t u : finset α} :
disjoint s (t ∪ u) ↔ disjoint s t ∧ disjoint s u :=
by simp only [disjoint_right, mem_union, or_imp_distrib, forall_and_distrib]
lemma sdiff_disjoint {s t : finset α} : disjoint (t \ s) s :=
disjoint_left.2 $ assume a ha, (mem_sdiff.1 ha).2
lemma disjoint_sdiff {s t : finset α} : disjoint s (t \ s) :=
sdiff_disjoint.symm
lemma disjoint_sdiff_inter (s t : finset α) : disjoint (s \ t) (s ∩ t) :=
disjoint_of_subset_right (inter_subset_right _ _) sdiff_disjoint
lemma sdiff_eq_self_iff_disjoint {s t : finset α} : s \ t = s ↔ disjoint s t :=
by rw [sdiff_eq_self, subset_empty, disjoint_iff_inter_eq_empty]
lemma sdiff_eq_self_of_disjoint {s t : finset α} (h : disjoint s t) : s \ t = s :=
sdiff_eq_self_iff_disjoint.2 h
lemma disjoint_self_iff_empty (s : finset α) : disjoint s s ↔ s = ∅ :=
disjoint_self
lemma disjoint_bUnion_left {ι : Type*}
(s : finset ι) (f : ι → finset α) (t : finset α) :
disjoint (s.bUnion f) t ↔ (∀i∈s, disjoint (f i) t) :=
begin
classical,
refine s.induction _ _,
{ simp only [forall_mem_empty_iff, bUnion_empty, disjoint_empty_left] },
{ assume i s his ih,
simp only [disjoint_union_left, bUnion_insert, his, forall_mem_insert, ih] }
end
lemma disjoint_bUnion_right {ι : Type*}
(s : finset α) (t : finset ι) (f : ι → finset α) :
disjoint s (t.bUnion f) ↔ (∀i∈t, disjoint s (f i)) :=
by simpa only [disjoint.comm] using disjoint_bUnion_left t f s
@[simp] theorem card_disjoint_union {s t : finset α} (h : disjoint s t) :
card (s ∪ t) = card s + card t :=
by rw [← card_union_add_card_inter, disjoint_iff_inter_eq_empty.1 h, card_empty, add_zero]
theorem card_sdiff {s t : finset α} (h : s ⊆ t) : card (t \ s) = card t - card s :=
suffices card (t \ s) = card ((t \ s) ∪ s) - card s, by rwa sdiff_union_of_subset h at this,
by rw [card_disjoint_union sdiff_disjoint, nat.add_sub_cancel]
lemma disjoint_filter {s : finset α} {p q : α → Prop} [decidable_pred p] [decidable_pred q] :
disjoint (s.filter p) (s.filter q) ↔ (∀ x ∈ s, p x → ¬ q x) :=
by split; simp [disjoint_left] {contextual := tt}
lemma disjoint_filter_filter {s t : finset α} {p q : α → Prop} [decidable_pred p]
[decidable_pred q] :
(disjoint s t) → disjoint (s.filter p) (t.filter q) :=
disjoint.mono (filter_subset _ _) (filter_subset _ _)
lemma disjoint_iff_disjoint_coe {α : Type*} {a b : finset α} [decidable_eq α] :
disjoint a b ↔ disjoint (↑a : set α) (↑b : set α) :=
by { rw [finset.disjoint_left, set.disjoint_left], refl }
lemma filter_card_add_filter_neg_card_eq_card {α : Type*} {s : finset α} (p : α → Prop)
[decidable_pred p] :
(s.filter p).card + (s.filter (not ∘ p)).card = s.card :=
by { classical, simp [← card_union_eq, filter_union_filter_neg_eq, disjoint_filter], }
end disjoint
section self_prod
variables (s : finset α) [decidable_eq α]
/-- Given a finite set `s`, the diagonal, `s.diag` is the set of pairs of the form `(a, a)` for
`a ∈ s`. -/
def diag := (s.product s).filter (λ (a : α × α), a.fst = a.snd)
/-- Given a finite set `s`, the off-diagonal, `s.off_diag` is the set of pairs `(a, b)` with `a ≠ b`
for `a, b ∈ s`. -/
def off_diag := (s.product s).filter (λ (a : α × α), a.fst ≠ a.snd)
@[simp] lemma mem_diag (x : α × α) : x ∈ s.diag ↔ x.1 ∈ s ∧ x.1 = x.2 :=
by { simp only [diag, mem_filter, mem_product], split; intros; finish, }
@[simp] lemma mem_off_diag (x : α × α) : x ∈ s.off_diag ↔ x.1 ∈ s ∧ x.2 ∈ s ∧ x.1 ≠ x.2 :=
by { simp only [off_diag, mem_filter, mem_product], split; intros; finish, }
@[simp] lemma diag_card : (diag s).card = s.card :=
begin
suffices : diag s = s.image (λ a, (a, a)), { rw this, apply card_image_of_inj_on, finish, },
ext ⟨a₁, a₂⟩, rw mem_diag, split; intros; finish,
end
@[simp] lemma off_diag_card : (off_diag s).card = s.card * s.card - s.card :=
begin
suffices : (diag s).card + (off_diag s).card = s.card * s.card,
{ nth_rewrite 2 ← s.diag_card, finish, },
rw ← card_product,
apply filter_card_add_filter_neg_card_eq_card,
end
end self_prod
/--
Given a set A and a set B inside it, we can shrink A to any appropriate size, and keep B
inside it.
-/
lemma exists_intermediate_set {A B : finset α} (i : ℕ)
(h₁ : i + card B ≤ card A) (h₂ : B ⊆ A) :
∃ (C : finset α), B ⊆ C ∧ C ⊆ A ∧ card C = i + card B :=
begin
classical,
rcases nat.le.dest h₁ with ⟨k, _⟩,
clear h₁,
induction k with k ih generalizing A,
{ exact ⟨A, h₂, subset.refl _, h.symm⟩ },
{ have : (A \ B).nonempty,
{ rw [← card_pos, card_sdiff h₂, ← h, nat.add_right_comm,
nat.add_sub_cancel, nat.add_succ],
apply nat.succ_pos },
rcases this with ⟨a, ha⟩,
have z : i + card B + k = card (erase A a),
{ rw [card_erase_of_mem, ← h, nat.add_succ, nat.pred_succ],
rw mem_sdiff at ha,
exact ha.1 },
rcases ih _ z with ⟨B', hB', B'subA', cards⟩,
{ exact ⟨B', hB', trans B'subA' (erase_subset _ _), cards⟩ },
{ rintros t th,
apply mem_erase_of_ne_of_mem _ (h₂ th),
rintro rfl,
exact not_mem_sdiff_of_mem_right th ha } }
end
/-- We can shrink A to any smaller size. -/
lemma exists_smaller_set (A : finset α) (i : ℕ) (h₁ : i ≤ card A) :
∃ (B : finset α), B ⊆ A ∧ card B = i :=
let ⟨B, _, x₁, x₂⟩ := exists_intermediate_set i (by simpa) (empty_subset A) in ⟨B, x₁, x₂⟩
/-- `finset.fin_range k` is the finset `{0, 1, ..., k-1}`, as a `finset (fin k)`. -/
def fin_range (k : ℕ) : finset (fin k) :=
⟨list.fin_range k, list.nodup_fin_range k⟩
@[simp]
lemma fin_range_card {k : ℕ} : (fin_range k).card = k :=
by simp [fin_range]
@[simp]
lemma mem_fin_range {k : ℕ} (m : fin k) : m ∈ fin_range k :=
list.mem_fin_range m
@[simp] lemma coe_fin_range (k : ℕ) : (fin_range k : set (fin k)) = set.univ :=
set.eq_univ_of_forall mem_fin_range
/-- Given a finset `s` of `ℕ` contained in `{0,..., n-1}`, the corresponding finset in `fin n`
is `s.attach_fin h` where `h` is a proof that all elements of `s` are less than `n`. -/
def attach_fin (s : finset ℕ) {n : ℕ} (h : ∀ m ∈ s, m < n) : finset (fin n) :=
⟨s.1.pmap (λ a ha, ⟨a, ha⟩) h, multiset.nodup_pmap (λ _ _ _ _, fin.veq_of_eq) s.2⟩
@[simp] lemma mem_attach_fin {n : ℕ} {s : finset ℕ} (h : ∀ m ∈ s, m < n) {a : fin n} :
a ∈ s.attach_fin h ↔ (a : ℕ) ∈ s :=
⟨λ h, let ⟨b, hb₁, hb₂⟩ := multiset.mem_pmap.1 h in hb₂ ▸ hb₁,
λ h, multiset.mem_pmap.2 ⟨a, h, fin.eta _ _⟩⟩
@[simp] lemma card_attach_fin {n : ℕ} (s : finset ℕ) (h : ∀ m ∈ s, m < n) :
(s.attach_fin h).card = s.card := multiset.card_pmap _ _ _
/-! ### choose -/
section choose
variables (p : α → Prop) [decidable_pred p] (l : finset α)
/-- Given a finset `l` and a predicate `p`, associate to a proof that there is a unique element of
`l` satisfying `p` this unique element, as an element of the corresponding subtype. -/
def choose_x (hp : (∃! a, a ∈ l ∧ p a)) : { a // a ∈ l ∧ p a } :=
multiset.choose_x p l.val hp
/-- Given a finset `l` and a predicate `p`, associate to a proof that there is a unique element of
`l` satisfying `p` this unique element, as an element of the ambient type. -/
def choose (hp : ∃! a, a ∈ l ∧ p a) : α := choose_x p l hp
lemma choose_spec (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l ∧ p (choose p l hp) :=
(choose_x p l hp).property
lemma choose_mem (hp : ∃! a, a ∈ l ∧ p a) : choose p l hp ∈ l := (choose_spec _ _ _).1
lemma choose_property (hp : ∃! a, a ∈ l ∧ p a) : p (choose p l hp) := (choose_spec _ _ _).2
end choose
theorem lt_wf {α} : well_founded (@has_lt.lt (finset α) _) :=
have H : subrelation (@has_lt.lt (finset α) _)
(inv_image (<) card),
from λ x y hxy, card_lt_card hxy,
subrelation.wf H $ inv_image.wf _ $ nat.lt_wf
end finset
namespace equiv
/-- Given an equivalence `α` to `β`, produce an equivalence between `finset α` and `finset β`. -/
protected def finset_congr (e : α ≃ β) : finset α ≃ finset β :=
{ to_fun := λ s, s.map e.to_embedding,
inv_fun := λ s, s.map e.symm.to_embedding,
left_inv := λ s, by simp [finset.map_map],
right_inv := λ s, by simp [finset.map_map] }
@[simp] lemma finset_congr_apply (e : α ≃ β) (s : finset α) :
e.finset_congr s = s.map e.to_embedding :=
rfl
@[simp] lemma finset_congr_refl :
(equiv.refl α).finset_congr = equiv.refl _ :=
by { ext, simp }
@[simp] lemma finset_congr_symm (e : α ≃ β) :
e.finset_congr.symm = e.symm.finset_congr :=
rfl
@[simp] lemma finset_congr_trans (e : α ≃ β) (e' : β ≃ γ) :
e.finset_congr.trans (e'.finset_congr) = (e.trans e').finset_congr :=
by { ext, simp [-finset.mem_map, -equiv.trans_to_embedding] }
end equiv
namespace list
variable [decidable_eq α]
theorem to_finset_card_of_nodup {l : list α} (h : l.nodup) : l.to_finset.card = l.length :=
congr_arg card $ (@multiset.erase_dup_eq_self α _ l).2 h
end list
namespace multiset
variable [decidable_eq α]
theorem to_finset_card_of_nodup {l : multiset α} (h : l.nodup) : l.to_finset.card = l.card :=
congr_arg card $ (@multiset.erase_dup_eq_self α _ l).2 h
lemma disjoint_to_finset (m1 m2 : multiset α) :
_root_.disjoint m1.to_finset m2.to_finset ↔ m1.disjoint m2 :=
begin
rw finset.disjoint_iff_ne,
split,
{ intro h,
intros a ha1 ha2,
rw ← multiset.mem_to_finset at ha1 ha2,
exact h _ ha1 _ ha2 rfl },
{ rintros h a ha b hb rfl,
rw multiset.mem_to_finset at ha hb,
exact h ha hb }
end
end multiset
-/ |
5de520d438fdeb92738b3619c1472efcd82d8964 | 19e65f097e49ef249bf10eb0d5cc0075bc4216a2 | /src/utils/cmp.lean | 22d403b86f6480e3d7e8ff20e40b75a92375b1bd | [] | no_license | UVM-M52/week-8-fgdorais | 6eccbcf373d9a872949d37e434e18b082cf6ae48 | 251579081a03fadedc1606bcda8004cabf217ac3 | refs/heads/master | 1,613,424,257,678 | 1,583,335,096,000 | 1,583,335,096,000 | 244,933,167 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 6,256 | lean |
section
variables {α : Type*} [semiring α]
theorem mul_two_eq_add_self (x : α) : x * 2 = x + x :=
show x * (1 + 1) = x + x, by rw [mul_add, mul_one]
theorem two_mul_eq_add_self (x : α) : 2 * x = x + x :=
show (1 + 1) * x = x + x, by rw [add_mul, one_mul]
end
namespace linear_ordered_ring
variables (α : Type*) [i : linear_ordered_ring α]
include i
lemma one_pos : (0:α) < 1 := zero_lt_one α
lemma two_pos : (0:α) < 2 := _root_.add_pos (one_pos α) (one_pos α)
variable {α}
lemma add_pos (x y : α) : 0 < x → 0 < y → 0 < x + y := _root_.add_pos
lemma succ_pos (x : α) : 0 < x → 0 < x + 1 := λ h, add_pos x 1 h (one_pos α)
-- linear_ordered_ring.mul_pos (x y : α) : 0 < x → 0 < y → 0 < x * y
lemma bit0_pos (x : α) : 0 < x → 0 < bit0 x := λ h, add_pos x x h h
lemma bit1_pos (x : α) : 0 < x → 0 < bit1 x := λ h, succ_pos (bit0 x) (bit0_pos x h)
class num_pos (x : α) := (elim : (0:α) < x)
namespace num_pos
variable {i}
@[priority 30] instance one : @num_pos α i (1:α) := ⟨one_pos α⟩
@[priority 30] instance two : @num_pos α i (2:α) := ⟨two_pos α⟩
@[priority 30] instance bit0 (x : α) [@num_pos α i x] : @num_pos α i (bit0 x) := ⟨bit0_pos x (elim x)⟩
@[priority 30] instance bit1 (x : α) [@num_pos α i x] : @num_pos α i (bit1 x) := ⟨bit1_pos x (elim x)⟩
@[priority 10] instance succ (x : α) [@num_pos α i x] : @num_pos α i (x+1) := ⟨succ_pos x (elim x)⟩
@[priority 20] instance add (x y : α) [@num_pos α i x] [@num_pos α i y] : @num_pos α i (x + y) := ⟨add_pos x y (elim x) (elim y)⟩
@[priority 30] instance mul (x y : α) [@num_pos α i x] [@num_pos α i y] : @num_pos α i (x * y) := ⟨mul_pos x y (elim x) (elim y)⟩
end num_pos
class num_nonzero (x : α) := (elim : x ≠ (0:α))
@[priority 30] instance of_pos (x : α) {i : linear_ordered_ring α} [@num_pos α i x] : num_nonzero x := ⟨ne_of_gt $ num_pos.elim x⟩
end linear_ordered_ring
theorem pos_trivial {α : Type*} [linear_ordered_ring α] (x : α) [linear_ordered_ring.num_pos x] : (0:α) < x := linear_ordered_ring.num_pos.elim x
theorem nonzero_trivial {α : Type*} [linear_ordered_ring α] (x : α) [linear_ordered_ring.num_nonzero x] : x ≠ 0 := linear_ordered_ring.num_nonzero.elim x
section
variables {α : Type*} [linear_ordered_ring α]
theorem le_of_mul_ge_mul_left {a b c : α} : c * b ≤ c * a → c < 0 → a ≤ b :=
begin
intros h hc,
have hc : -c > 0 := neg_pos_of_neg hc,
apply le_of_mul_le_mul_left _ hc,
apply le_of_neg_le_neg,
rw [neg_mul_eq_neg_mul, neg_mul_eq_neg_mul, neg_neg],
assumption,
end
theorem le_of_mul_ge_mul_right {a b c : α} : b * c ≤ a * c → c < 0 → a ≤ b :=
begin
intros h hc,
have hc : -c > 0 := neg_pos_of_neg hc,
apply le_of_mul_le_mul_right _ hc,
apply le_of_neg_le_neg,
rw [neg_mul_eq_mul_neg, neg_mul_eq_mul_neg, neg_neg],
assumption,
end
end
section
variables {α : Type*} [linear_ordered_field α]
theorem div_le_of_le_mul_of_pos {x y : α} (z : α) : x ≤ y*z → 0 < z → x/z ≤ y :=
begin
intros hm hz,
apply le_of_mul_le_mul_right _ hz,
transitivity x,
{ apply le_of_eq,
apply div_mul_cancel,
apply ne_of_gt,
assumption },
{ assumption },
end
theorem le_div_of_mul_le_of_pos {x y : α} (z : α) : x*z ≤ y → 0 < z → x ≤ y/z :=
begin
intros hm hz,
apply le_of_mul_le_mul_right _ hz,
transitivity y,
{ assumption },
{ apply le_of_eq,
symmetry,
apply div_mul_cancel,
apply ne_of_gt,
assumption },
end
theorem le_div_of_mul_ge_of_neg {x y : α} (z : α) : y ≤ x*z → z < 0 → x ≤ y/z :=
begin
intros hm hz,
apply le_of_mul_ge_mul_right _ hz,
transitivity y,
{ apply le_of_eq,
apply div_mul_cancel,
apply ne_of_lt,
assumption },
{ assumption },
end
theorem div_le_of_ge_mul_of_neg {x y : α} (z : α) : y*z ≤ x → z < 0 → x/z ≤ y :=
begin
intros hm hz,
apply le_of_mul_ge_mul_right _ hz,
transitivity x,
{ assumption },
{ apply le_of_eq,
symmetry,
apply div_mul_cancel,
apply ne_of_lt,
assumption },
end
end
namespace order
inductive {u} lt_cmp {α : Type u} [has_lt α] (x y : α) : Type u
| eq : x = y → lt_cmp
| lt : x < y → lt_cmp
| gt : y < x → lt_cmp
inductive {u} le_cmp {α : Type u} [has_le α] (x y : α) : Type u
| le : x ≤ y → le_cmp
| ge : y ≤ x → le_cmp
variables {α : Type*} [decidable_linear_order α]
def lt_compare (x y : α) : lt_cmp x y :=
if hlt : x < y then
lt_cmp.lt hlt
else if hgt : y < x then
lt_cmp.gt hgt
else
lt_cmp.eq $ le_antisymm (le_of_not_gt hgt) (le_of_not_gt hlt)
def le_compare (x y : α) : le_cmp x y :=
if h : x < y then
le_cmp.le (le_of_lt h)
else
le_cmp.ge (le_of_not_gt h)
@[elab_as_eliminator]
def trichotomy_on (x y : α) {C : Sort*} : (x = y → C) → (x < y → C) → (y < x → C) → C :=
λ heq hlt hgt, lt_cmp.cases_on (lt_compare x y) heq hlt hgt
@[elab_as_eliminator]
def dichotomy_on (x y : α) {C : Sort*} : (x ≤ y → C) → (y ≤ x → C) → C :=
λ hle hge, le_cmp.cases_on (le_compare x y) hle hge
end order
namespace tactic
open interactive
/--
`by_trichotomy (x, y)` splits the goal into three branches, the first assuming `x = y`,
the second assuming `x < y` and the third assuming `y < x`.
This tactic requires that terms `x` and `y` have the same type and that this type has
`decidable_linear_order` instance.
-/
meta def interactive.by_trichotomy : parse types.texpr → tactic unit :=
λ e, do {
`(@prod.mk %%t %%.(t) %%x %%y) ← to_expr e,
d ← to_expr ``(decidable_linear_order %%t) >>= mk_instance
<|> fail ("cannot find decidable_linear_order instance for type " ++ to_string t),
to_expr ``(@order.trichotomy_on %%t %%d %%x %%y) >>= apply >> skip
}
/--
`by_trichotomy (x, y)` splits the goal into two branches, the first assuming `x ≤ y`
and the second assuming `y ≤ x`.
This tactic requires that terms `x` and `y` have the same type and that this type has
`decidable_linear_order` instance.
-/
meta def interactive.by_dichotomy : parse types.texpr → tactic unit :=
λ e, do {
`(@prod.mk %%t %%.(t) %%x %%y) ← to_expr e,
d ← to_expr ``(decidable_linear_order %%t) >>= mk_instance
<|> fail ("cannot find decidable_linear_order instance for " ++ to_string t),
to_expr ``(@order.dichotomy_on %%t %%d %%x %%y) >>= apply >> skip
}
end tactic
|
d73cd984798e44065da4b74ab45e5acf168f1d0f | a4673261e60b025e2c8c825dfa4ab9108246c32e | /stage0/src/Lean/Elab/Tactic/ElabTerm.lean | bfc96460c73bdea8e21c95f520fd0fa6a7d5fb8d | [
"Apache-2.0"
] | permissive | jcommelin/lean4 | c02dec0cc32c4bccab009285475f265f17d73228 | 2909313475588cc20ac0436e55548a4502050d0a | refs/heads/master | 1,674,129,550,893 | 1,606,415,348,000 | 1,606,415,348,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 5,092 | 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.CollectMVars
import Lean.Meta.Tactic.Apply
import Lean.Meta.Tactic.Constructor
import Lean.Meta.Tactic.Assert
import Lean.Elab.Tactic.Basic
import Lean.Elab.SyntheticMVars
namespace Lean.Elab.Tactic
open Meta
/- `elabTerm` for Tactics and basic tactics that use it. -/
def elabTerm (stx : Syntax) (expectedType? : Option Expr) (mayPostpone := false) : TacticM Expr :=
withRef stx $ liftTermElabM $ Term.withoutErrToSorry do
let e ← Term.elabTerm stx expectedType?
Term.synthesizeSyntheticMVars mayPostpone
instantiateMVars e
def elabTermEnsuringType (stx : Syntax) (expectedType? : Option Expr) (mayPostpone := false) : TacticM Expr := do
let e ← elabTerm stx expectedType? mayPostpone
ensureHasType expectedType? e
@[builtinTactic «exact»] def evalExact : Tactic := fun stx =>
match_syntax stx with
| `(tactic| exact $e) => do
let (g, gs) ← getMainGoal
withMVarContext g do
let decl ← getMVarDecl g
let val ← elabTermEnsuringType e decl.type
ensureHasNoMVars val
assignExprMVar g val
setGoals gs
| _ => throwUnsupportedSyntax
def elabTermWithHoles (stx : Syntax) (expectedType? : Option Expr) (tagSuffix : Name) (allowNaturalHoles := false) : TacticM (Expr × List MVarId) := do
let val ← elabTermEnsuringType stx expectedType?
let newMVarIds ← getMVarsNoDelayed val
/- ignore let-rec auxiliary variables, they are synthesized automatically later -/
let newMVarIds ← newMVarIds.filterM fun mvarId => return !(← Term.isLetRecAuxMVar mvarId)
let newMVarIds ←
if allowNaturalHoles then
pure newMVarIds.toList
else
let naturalMVarIds ← newMVarIds.filterM fun mvarId => return (← getMVarDecl mvarId).kind.isNatural
let syntheticMVarIds ← newMVarIds.filterM fun mvarId => return !(← getMVarDecl mvarId).kind.isNatural
Term.logUnassignedUsingErrorInfos naturalMVarIds
pure syntheticMVarIds.toList
tagUntaggedGoals (← getMainTag) tagSuffix newMVarIds
pure (val, newMVarIds)
/- If `allowNaturalHoles == true`, then we allow the resultant expression to contain unassigned "natural" metavariables.
Recall that "natutal" metavariables are created for explicit holes `_` and implicit arguments. They are meant to be
filled by typing constraints.
"Synthetic" metavariables are meant to be filled by tactics and are usually created using the synthetic hole notation `?<hole-name>`. -/
def refineCore (stx : Syntax) (tagSuffix : Name) (allowNaturalHoles : Bool) : TacticM Unit := do
let (g, gs) ← getMainGoal
withMVarContext g do
let decl ← getMVarDecl g
let (val, gs') ← elabTermWithHoles stx decl.type tagSuffix allowNaturalHoles
assignExprMVar g val
setGoals (gs ++ gs')
@[builtinTactic «refine»] def evalRefine : Tactic := fun stx =>
match_syntax stx with
| `(tactic| refine $e) => refineCore e `refine (allowNaturalHoles := false)
| _ => throwUnsupportedSyntax
@[builtinTactic «refine!»] def evalRefineBang : Tactic := fun stx =>
match_syntax stx with
| `(tactic| refine! $e) => refineCore e `refine (allowNaturalHoles := true)
| _ => throwUnsupportedSyntax
def evalApplyLikeTactic (tac : MVarId → Expr → MetaM (List MVarId)) (e : Syntax) : TacticM Unit := do
let (g, gs) ← getMainGoal
let gs' ← withMVarContext g do
let decl ← getMVarDecl g
let val ← elabTerm e none true
let gs' ← tac g val
Term.synthesizeSyntheticMVarsNoPostponing
pure gs'
setGoals (gs' ++ gs)
@[builtinTactic Lean.Parser.Tactic.apply] def evalApply : Tactic := fun stx =>
match_syntax stx with
| `(tactic| apply $e) => evalApplyLikeTactic Meta.apply e
| _ => throwUnsupportedSyntax
@[builtinTactic Lean.Parser.Tactic.existsIntro] def evalExistsIntro : Tactic := fun stx =>
match_syntax stx with
| `(tactic| exists $e) => evalApplyLikeTactic (fun mvarId e => return [(← Meta.existsIntro mvarId e)]) e
| _ => throwUnsupportedSyntax
/--
Elaborate `stx`. If it a free variable, return it. Otherwise, assert it, and return the free variable.
Note that, the main goal is updated when `Meta.assert` is used in the second case. -/
def elabAsFVar (stx : Syntax) (userName? : Option Name := none) : TacticM FVarId := do
let (mvarId, others) ← getMainGoal
withMVarContext mvarId do
let e ← elabTerm stx none
match e with
| Expr.fvar fvarId _ => pure fvarId
| _ =>
let type ← inferType e
let intro (userName : Name) (preserveBinderNames : Bool) : TacticM FVarId := do
let (fvarId, mvarId) ← liftMetaM do
let mvarId ← Meta.assert mvarId userName type e
Meta.intro1Core mvarId preserveBinderNames
setGoals $ mvarId::others
pure fvarId
match userName? with
| none => intro `h false
| some userName => intro userName true
end Lean.Elab.Tactic
|
eb29b69e495f83cb07384f2b021f9461cc15d855 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/logic/equiv/fin.lean | eae5b663119c03d4272889dc6d81c289d0ffcecb | [
"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 | 15,051 | lean | /-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import data.fin.vec_notation
import logic.equiv.basic
import tactic.norm_num
/-!
# Equivalences for `fin n`
-/
universes u
variables {m n : ℕ}
/-- Equivalence between `fin 0` and `empty`. -/
def fin_zero_equiv : fin 0 ≃ empty :=
equiv.equiv_empty _
/-- Equivalence between `fin 0` and `pempty`. -/
def fin_zero_equiv' : fin 0 ≃ pempty.{u} :=
equiv.equiv_pempty _
/-- Equivalence between `fin 1` and `unit`. -/
def fin_one_equiv : fin 1 ≃ unit :=
equiv_punit_of_unique
/-- Equivalence between `fin 2` and `bool`. -/
def fin_two_equiv : fin 2 ≃ bool :=
⟨@fin.cases 1 (λ_, bool) ff (λ_, tt),
λb, cond b 1 0,
begin
refine fin.cases _ _, by norm_num,
refine fin.cases _ _, by norm_num,
exact λi, fin_zero_elim i
end,
begin
rintro ⟨_|_⟩,
{ refl },
{ rw ← fin.succ_zero_eq_one, refl }
end⟩
/-- `Π i : fin 2, α i` is equivalent to `α 0 × α 1`. See also `fin_two_arrow_equiv` for a
non-dependent version and `prod_equiv_pi_fin_two` for a version with inputs `α β : Type u`. -/
@[simps {fully_applied := ff}] def pi_fin_two_equiv (α : fin 2 → Type u) : (Π i, α i) ≃ α 0 × α 1 :=
{ to_fun := λ f, (f 0, f 1),
inv_fun := λ p, fin.cons p.1 $ fin.cons p.2 fin_zero_elim,
left_inv := λ f, funext $ fin.forall_fin_two.2 ⟨rfl, rfl⟩,
right_inv := λ ⟨x, y⟩, rfl }
lemma fin.preimage_apply_01_prod {α : fin 2 → Type u} (s : set (α 0)) (t : set (α 1)) :
(λ f : Π i, α i, (f 0, f 1)) ⁻¹' s ×ˢ t =
set.pi set.univ (fin.cons s $ fin.cons t fin.elim0) :=
begin
ext f,
have : (fin.cons s (fin.cons t fin.elim0) : Π i, set (α i)) 1 = t := rfl,
simp [fin.forall_fin_two, this]
end
lemma fin.preimage_apply_01_prod' {α : Type u} (s t : set α) :
(λ f : fin 2 → α, (f 0, f 1)) ⁻¹' s ×ˢ t = set.pi set.univ ![s, t] :=
fin.preimage_apply_01_prod s t
/-- A product space `α × β` is equivalent to the space `Π i : fin 2, γ i`, where
`γ = fin.cons α (fin.cons β fin_zero_elim)`. See also `pi_fin_two_equiv` and
`fin_two_arrow_equiv`. -/
@[simps {fully_applied := ff }] def prod_equiv_pi_fin_two (α β : Type u) :
α × β ≃ Π i : fin 2, ![α, β] i :=
(pi_fin_two_equiv (fin.cons α (fin.cons β fin_zero_elim))).symm
/-- The space of functions `fin 2 → α` is equivalent to `α × α`. See also `pi_fin_two_equiv` and
`prod_equiv_pi_fin_two`. -/
@[simps { fully_applied := ff }] def fin_two_arrow_equiv (α : Type*) : (fin 2 → α) ≃ α × α :=
{ inv_fun := λ x, ![x.1, x.2],
.. pi_fin_two_equiv (λ _, α) }
/-- `Π i : fin 2, α i` is order equivalent to `α 0 × α 1`. See also `order_iso.fin_two_arrow_equiv`
for a non-dependent version. -/
def order_iso.pi_fin_two_iso (α : fin 2 → Type u) [Π i, preorder (α i)] :
(Π i, α i) ≃o α 0 × α 1 :=
{ to_equiv := pi_fin_two_equiv α,
map_rel_iff' := λ f g, iff.symm fin.forall_fin_two }
/-- The space of functions `fin 2 → α` is order equivalent to `α × α`. See also
`order_iso.pi_fin_two_iso`. -/
def order_iso.fin_two_arrow_iso (α : Type*) [preorder α] : (fin 2 → α) ≃o α × α :=
{ to_equiv := fin_two_arrow_equiv α, .. order_iso.pi_fin_two_iso (λ _, α) }
/-- The 'identity' equivalence between `fin n` and `fin m` when `n = m`. -/
def fin_congr {n m : ℕ} (h : n = m) : fin n ≃ fin m :=
(fin.cast h).to_equiv
@[simp] lemma fin_congr_apply_mk {n m : ℕ} (h : n = m) (k : ℕ) (w : k < n) :
fin_congr h ⟨k, w⟩ = ⟨k, by { subst h, exact w }⟩ :=
rfl
@[simp] lemma fin_congr_symm {n m : ℕ} (h : n = m) :
(fin_congr h).symm = fin_congr h.symm := rfl
@[simp] lemma fin_congr_apply_coe {n m : ℕ} (h : n = m) (k : fin n) :
(fin_congr h k : ℕ) = k :=
by { cases k, refl, }
lemma fin_congr_symm_apply_coe {n m : ℕ} (h : n = m) (k : fin m) :
((fin_congr h).symm k : ℕ) = k :=
by { cases k, refl, }
/-- An equivalence that removes `i` and maps it to `none`.
This is a version of `fin.pred_above` that produces `option (fin n)` instead of
mapping both `i.cast_succ` and `i.succ` to `i`. -/
def fin_succ_equiv' {n : ℕ} (i : fin (n + 1)) :
fin (n + 1) ≃ option (fin n) :=
{ to_fun := i.insert_nth none some,
inv_fun := λ x, x.cases_on' i (fin.succ_above i),
left_inv := λ x, fin.succ_above_cases i (by simp) (λ j, by simp) x,
right_inv := λ x, by cases x; dsimp; simp }
@[simp] lemma fin_succ_equiv'_at {n : ℕ} (i : fin (n + 1)) :
(fin_succ_equiv' i) i = none := by simp [fin_succ_equiv']
@[simp] lemma fin_succ_equiv'_succ_above {n : ℕ} (i : fin (n + 1)) (j : fin n) :
fin_succ_equiv' i (i.succ_above j) = some j :=
@fin.insert_nth_apply_succ_above n (λ _, option (fin n)) i _ _ _
lemma fin_succ_equiv'_below {n : ℕ} {i : fin (n + 1)} {m : fin n} (h : m.cast_succ < i) :
(fin_succ_equiv' i) m.cast_succ = some m :=
by rw [← fin.succ_above_below _ _ h, fin_succ_equiv'_succ_above]
lemma fin_succ_equiv'_above {n : ℕ} {i : fin (n + 1)} {m : fin n} (h : i ≤ m.cast_succ) :
(fin_succ_equiv' i) m.succ = some m :=
by rw [← fin.succ_above_above _ _ h, fin_succ_equiv'_succ_above]
@[simp] lemma fin_succ_equiv'_symm_none {n : ℕ} (i : fin (n + 1)) :
(fin_succ_equiv' i).symm none = i := rfl
@[simp] lemma fin_succ_equiv'_symm_some {n : ℕ} (i : fin (n + 1)) (j : fin n) :
(fin_succ_equiv' i).symm (some j) = i.succ_above j :=
rfl
lemma fin_succ_equiv'_symm_some_below {n : ℕ} {i : fin (n + 1)} {m : fin n} (h : m.cast_succ < i) :
(fin_succ_equiv' i).symm (some m) = m.cast_succ :=
fin.succ_above_below i m h
lemma fin_succ_equiv'_symm_some_above {n : ℕ} {i : fin (n + 1)} {m : fin n} (h : i ≤ m.cast_succ) :
(fin_succ_equiv' i).symm (some m) = m.succ :=
fin.succ_above_above i m h
lemma fin_succ_equiv'_symm_coe_below {n : ℕ} {i : fin (n + 1)} {m : fin n} (h : m.cast_succ < i) :
(fin_succ_equiv' i).symm m = m.cast_succ :=
fin_succ_equiv'_symm_some_below h
lemma fin_succ_equiv'_symm_coe_above {n : ℕ} {i : fin (n + 1)} {m : fin n} (h : i ≤ m.cast_succ) :
(fin_succ_equiv' i).symm m = m.succ :=
fin_succ_equiv'_symm_some_above h
/-- Equivalence between `fin (n + 1)` and `option (fin n)`.
This is a version of `fin.pred` that produces `option (fin n)` instead of
requiring a proof that the input is not `0`. -/
def fin_succ_equiv (n : ℕ) : fin (n + 1) ≃ option (fin n) :=
fin_succ_equiv' 0
@[simp] lemma fin_succ_equiv_zero {n : ℕ} :
(fin_succ_equiv n) 0 = none :=
rfl
@[simp] lemma fin_succ_equiv_succ {n : ℕ} (m : fin n):
(fin_succ_equiv n) m.succ = some m :=
fin_succ_equiv'_above (fin.zero_le _)
@[simp] lemma fin_succ_equiv_symm_none {n : ℕ} :
(fin_succ_equiv n).symm none = 0 :=
fin_succ_equiv'_symm_none _
@[simp] lemma fin_succ_equiv_symm_some {n : ℕ} (m : fin n) :
(fin_succ_equiv n).symm (some m) = m.succ :=
congr_fun fin.succ_above_zero m
@[simp] lemma fin_succ_equiv_symm_coe {n : ℕ} (m : fin n) :
(fin_succ_equiv n).symm m = m.succ :=
fin_succ_equiv_symm_some m
/-- The equiv version of `fin.pred_above_zero`. -/
lemma fin_succ_equiv'_zero {n : ℕ} :
fin_succ_equiv' (0 : fin (n + 1)) = fin_succ_equiv n := rfl
/-- `equiv` between `fin (n + 1)` and `option (fin n)` sending `fin.last n` to `none` -/
def fin_succ_equiv_last {n : ℕ} : fin (n + 1) ≃ option (fin n) :=
fin_succ_equiv' (fin.last n)
@[simp] lemma fin_succ_equiv_last_cast_succ {n : ℕ} (i : fin n) :
fin_succ_equiv_last i.cast_succ = some i :=
fin_succ_equiv'_below i.2
@[simp] lemma fin_succ_equiv_last_last {n : ℕ} :
fin_succ_equiv_last (fin.last n) = none :=
by simp [fin_succ_equiv_last]
@[simp] lemma fin_succ_equiv_last_symm_some {n : ℕ} (i : fin n) :
fin_succ_equiv_last.symm (some i) = i.cast_succ :=
fin_succ_equiv'_symm_some_below i.2
@[simp] lemma fin_succ_equiv_last_symm_coe {n : ℕ} (i : fin n) :
fin_succ_equiv_last.symm ↑i = i.cast_succ :=
fin_succ_equiv'_symm_some_below i.2
@[simp] lemma fin_succ_equiv_last_symm_none {n : ℕ} :
fin_succ_equiv_last.symm none = fin.last n :=
fin_succ_equiv'_symm_none _
/-- Equivalence between `Π j : fin (n + 1), α j` and `α i × Π j : fin n, α (fin.succ_above i j)`. -/
@[simps { fully_applied := ff}]
def equiv.pi_fin_succ_above_equiv {n : ℕ} (α : fin (n + 1) → Type u) (i : fin (n + 1)) :
(Π j, α j) ≃ α i × (Π j, α (i.succ_above j)) :=
{ to_fun := λ f, (f i, λ j, f (i.succ_above j)),
inv_fun := λ f, i.insert_nth f.1 f.2,
left_inv := λ f, by simp [fin.insert_nth_eq_iff],
right_inv := λ f, by simp }
/-- Order isomorphism between `Π j : fin (n + 1), α j` and
`α i × Π j : fin n, α (fin.succ_above i j)`. -/
def order_iso.pi_fin_succ_above_iso {n : ℕ} (α : fin (n + 1) → Type u) [Π i, has_le (α i)]
(i : fin (n + 1)) :
(Π j, α j) ≃o α i × (Π j, α (i.succ_above j)) :=
{ to_equiv := equiv.pi_fin_succ_above_equiv α i,
map_rel_iff' := λ f g, i.forall_iff_succ_above.symm }
/-- Equivalence between `fin m ⊕ fin n` and `fin (m + n)` -/
def fin_sum_fin_equiv : fin m ⊕ fin n ≃ fin (m + n) :=
{ to_fun := sum.elim (fin.cast_add n) (fin.nat_add m),
inv_fun := λ i, @fin.add_cases m n (λ _, fin m ⊕ fin n) sum.inl sum.inr i,
left_inv := λ x, by { cases x with y y; dsimp; simp },
right_inv := λ x, by refine fin.add_cases (λ i, _) (λ i, _) x; simp }
@[simp] lemma fin_sum_fin_equiv_apply_left (i : fin m) :
(fin_sum_fin_equiv (sum.inl i) : fin (m + n)) = fin.cast_add n i := rfl
@[simp] lemma fin_sum_fin_equiv_apply_right (i : fin n) :
(fin_sum_fin_equiv (sum.inr i) : fin (m + n)) = fin.nat_add m i := rfl
@[simp] lemma fin_sum_fin_equiv_symm_apply_cast_add (x : fin m) :
fin_sum_fin_equiv.symm (fin.cast_add n x) = sum.inl x :=
fin_sum_fin_equiv.symm_apply_apply (sum.inl x)
@[simp] lemma fin_sum_fin_equiv_symm_apply_nat_add (x : fin n) :
fin_sum_fin_equiv.symm (fin.nat_add m x) = sum.inr x :=
fin_sum_fin_equiv.symm_apply_apply (sum.inr x)
/-- The equivalence between `fin (m + n)` and `fin (n + m)` which rotates by `n`. -/
def fin_add_flip : fin (m + n) ≃ fin (n + m) :=
(fin_sum_fin_equiv.symm.trans (equiv.sum_comm _ _)).trans fin_sum_fin_equiv
@[simp] lemma fin_add_flip_apply_cast_add (k : fin m) (n : ℕ) :
fin_add_flip (fin.cast_add n k) = fin.nat_add n k :=
by simp [fin_add_flip]
@[simp] lemma fin_add_flip_apply_nat_add (k : fin n) (m : ℕ) :
fin_add_flip (fin.nat_add m k) = fin.cast_add m k :=
by simp [fin_add_flip]
@[simp] lemma fin_add_flip_apply_mk_left {k : ℕ} (h : k < m)
(hk : k < m + n := nat.lt_add_right k m n h)
(hnk : n + k < n + m := add_lt_add_left h n) :
fin_add_flip (⟨k, hk⟩ : fin (m + n)) = ⟨n + k, hnk⟩ :=
by convert fin_add_flip_apply_cast_add ⟨k, h⟩ n
@[simp] lemma fin_add_flip_apply_mk_right {k : ℕ} (h₁ : m ≤ k) (h₂ : k < m + n) :
fin_add_flip (⟨k, h₂⟩ : fin (m + n)) = ⟨k - m, tsub_le_self.trans_lt $ add_comm m n ▸ h₂⟩ :=
begin
convert fin_add_flip_apply_nat_add ⟨k - m, (tsub_lt_iff_right h₁).2 _⟩ m,
{ simp [add_tsub_cancel_of_le h₁] },
{ rwa add_comm }
end
/-- Rotate `fin n` one step to the right. -/
def fin_rotate : Π n, equiv.perm (fin n)
| 0 := equiv.refl _
| (n+1) := fin_add_flip.trans (fin_congr (add_comm _ _))
lemma fin_rotate_of_lt {k : ℕ} (h : k < n) :
fin_rotate (n+1) ⟨k, lt_of_lt_of_le h (nat.le_succ _)⟩ = ⟨k + 1, nat.succ_lt_succ h⟩ :=
begin
dsimp [fin_rotate],
simp [h, add_comm],
end
lemma fin_rotate_last' : fin_rotate (n+1) ⟨n, lt_add_one _⟩ = ⟨0, nat.zero_lt_succ _⟩ :=
begin
dsimp [fin_rotate],
rw fin_add_flip_apply_mk_right,
simp,
end
lemma fin_rotate_last : fin_rotate (n+1) (fin.last _) = 0 :=
fin_rotate_last'
lemma fin.snoc_eq_cons_rotate {α : Type*} (v : fin n → α) (a : α) :
@fin.snoc _ (λ _, α) v a = (λ i, @fin.cons _ (λ _, α) a v (fin_rotate _ i)) :=
begin
ext ⟨i, h⟩,
by_cases h' : i < n,
{ rw [fin_rotate_of_lt h', fin.snoc, fin.cons, dif_pos h'],
refl, },
{ have h'' : n = i,
{ simp only [not_lt] at h', exact (nat.eq_of_le_of_lt_succ h' h).symm, },
subst h'',
rw [fin_rotate_last', fin.snoc, fin.cons, dif_neg (lt_irrefl _)],
refl, }
end
@[simp] lemma fin_rotate_zero : fin_rotate 0 = equiv.refl _ := rfl
@[simp] lemma fin_rotate_one : fin_rotate 1 = equiv.refl _ :=
subsingleton.elim _ _
@[simp] lemma fin_rotate_succ_apply {n : ℕ} (i : fin n.succ) :
fin_rotate n.succ i = i + 1 :=
begin
cases n,
{ simp },
rcases i.le_last.eq_or_lt with rfl|h,
{ simp [fin_rotate_last] },
{ cases i,
simp only [fin.lt_iff_coe_lt_coe, fin.coe_last, fin.coe_mk] at h,
simp [fin_rotate_of_lt h, fin.eq_iff_veq, fin.add_def, nat.mod_eq_of_lt (nat.succ_lt_succ h)] },
end
@[simp] lemma fin_rotate_apply_zero {n : ℕ} : fin_rotate n.succ 0 = 1 :=
by rw [fin_rotate_succ_apply, zero_add]
lemma coe_fin_rotate_of_ne_last {n : ℕ} {i : fin n.succ} (h : i ≠ fin.last n) :
(fin_rotate n.succ i : ℕ) = i + 1 :=
begin
rw fin_rotate_succ_apply,
have : (i : ℕ) < n := lt_of_le_of_ne (nat.succ_le_succ_iff.mp i.2) (fin.coe_injective.ne h),
exact fin.coe_add_one_of_lt this
end
lemma coe_fin_rotate {n : ℕ} (i : fin n.succ) :
(fin_rotate n.succ i : ℕ) = if i = fin.last n then 0 else i + 1 :=
by rw [fin_rotate_succ_apply, fin.coe_add_one i]
/-- Equivalence between `fin m × fin n` and `fin (m * n)` -/
@[simps]
def fin_prod_fin_equiv : fin m × fin n ≃ fin (m * n) :=
{ to_fun := λ x, ⟨x.2 + n * x.1,
calc x.2.1 + n * x.1.1 + 1
= x.1.1 * n + x.2.1 + 1 : by ac_refl
... ≤ x.1.1 * n + n : nat.add_le_add_left x.2.2 _
... = (x.1.1 + 1) * n : eq.symm $ nat.succ_mul _ _
... ≤ m * n : nat.mul_le_mul_right _ x.1.2⟩,
inv_fun := λ x, (x.div_nat, x.mod_nat),
left_inv := λ ⟨x, y⟩,
have H : 0 < n, from nat.pos_of_ne_zero $ λ H, nat.not_lt_zero y.1 $ H ▸ y.2,
prod.ext
(fin.eq_of_veq $ calc
(y.1 + n * x.1) / n
= y.1 / n + x.1 : nat.add_mul_div_left _ _ H
... = 0 + x.1 : by rw nat.div_eq_of_lt y.2
... = x.1 : nat.zero_add x.1)
(fin.eq_of_veq $ calc
(y.1 + n * x.1) % n
= y.1 % n : nat.add_mul_mod_self_left _ _ _
... = y.1 : nat.mod_eq_of_lt y.2),
right_inv := λ x, fin.eq_of_veq $ nat.mod_add_div _ _ }
/-- Promote a `fin n` into a larger `fin m`, as a subtype where the underlying
values are retained. This is the `order_iso` version of `fin.cast_le`. -/
@[simps apply symm_apply]
def fin.cast_le_order_iso {n m : ℕ} (h : n ≤ m) : fin n ≃o {i : fin m // (i : ℕ) < n} :=
{ to_fun := λ i, ⟨fin.cast_le h i, by simpa using i.is_lt⟩,
inv_fun := λ i, ⟨i, i.prop⟩,
left_inv := λ _, by simp,
right_inv := λ _, by simp,
map_rel_iff' := λ _ _, by simp }
/-- `fin 0` is a subsingleton. -/
instance subsingleton_fin_zero : subsingleton (fin 0) :=
fin_zero_equiv.subsingleton
/-- `fin 1` is a subsingleton. -/
instance subsingleton_fin_one : subsingleton (fin 1) :=
fin_one_equiv.subsingleton
|
0f743416514893870c7ca326946e82678d1cc7d8 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/vm_eval_crash.lean | 2e2d009e4e2d7d07d58530ef66aa094f50ae1c9c | [
"Apache-2.0"
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|
b4093f36df6e6e13772271eafff26d9abf223e2e | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/analysis/normed_space/SemiNormedGroup.lean | 526136ec9702e30b1e20eb6d71025b8896b23f97 | [
"Apache-2.0"
] | permissive | jjgarzella/mathlib | 96a345378c4e0bf26cf604aed84f90329e4896a2 | 395d8716c3ad03747059d482090e2bb97db612c8 | refs/heads/master | 1,686,480,124,379 | 1,625,163,323,000 | 1,625,163,323,000 | 281,190,421 | 2 | 0 | Apache-2.0 | 1,595,268,170,000 | 1,595,268,169,000 | null | UTF-8 | Lean | false | false | 5,424 | lean | /-
Copyright (c) 2021 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Riccardo Brasca
-/
import analysis.normed_space.normed_group_hom
import category_theory.concrete_category.bundled_hom
import category_theory.limits.shapes.zero
/-!
# The category of seminormed groups
We define `SemiNormedGroup`, the category of seminormed groups and normed group homs between them,
as well as `SemiNormedGroup₁`, the subcategory of norm non-increasing morphisms.
-/
noncomputable theory
universes u
open category_theory
/-- The category of seminormed abelian groups and bounded group homomorphisms. -/
def SemiNormedGroup : Type (u+1) := bundled semi_normed_group
namespace SemiNormedGroup
instance bundled_hom : bundled_hom @normed_group_hom :=
⟨@normed_group_hom.to_fun, @normed_group_hom.id, @normed_group_hom.comp, @normed_group_hom.coe_inj⟩
attribute [derive [has_coe_to_sort, large_category, concrete_category]] SemiNormedGroup
/-- Construct a bundled `SemiNormedGroup` from the underlying type and typeclass. -/
def of (M : Type u) [semi_normed_group M] : SemiNormedGroup := bundled.of M
instance (M : SemiNormedGroup) : semi_normed_group M := M.str
@[simp] lemma coe_of (V : Type u) [semi_normed_group V] : (SemiNormedGroup.of V : Type u) = V := rfl
@[simp] lemma coe_id (V : SemiNormedGroup) : ⇑(𝟙 V) = id := rfl
@[simp] lemma coe_comp {M N K : SemiNormedGroup} (f : M ⟶ N) (g : N ⟶ K) :
((f ≫ g) : M → K) = g ∘ f := rfl
instance : has_zero SemiNormedGroup := ⟨of punit⟩
instance : inhabited SemiNormedGroup := ⟨0⟩
instance : limits.has_zero_morphisms.{u (u+1)} SemiNormedGroup := {}
@[simp] lemma zero_apply {V W : SemiNormedGroup} (x : V) : (0 : V ⟶ W) x = 0 := rfl
instance has_zero_object : limits.has_zero_object SemiNormedGroup.{u} :=
{ zero := 0,
unique_to := λ X,
{ default := 0,
uniq := λ a, by { ext ⟨⟩, exact a.map_zero, }, },
unique_from := λ X,
{ default := 0,
uniq := λ f, by ext } }
end SemiNormedGroup
/--
`SemiNormedGroup₁` is a type synonym for `SemiNormedGroup`,
which we shall equip with the category structure consisting only of the norm non-increasing maps.
-/
@[derive has_coe_to_sort]
def SemiNormedGroup₁ : Type (u+1) := bundled semi_normed_group
namespace SemiNormedGroup₁
instance : large_category.{u} SemiNormedGroup₁ :=
{ hom := λ X Y, { f : normed_group_hom X Y // f.norm_noninc },
id := λ X, ⟨normed_group_hom.id X, normed_group_hom.norm_noninc.id⟩,
comp := λ X Y Z f g, ⟨(g : normed_group_hom Y Z).comp (f : normed_group_hom X Y), g.2.comp f.2⟩, }
@[ext] lemma hom_ext {M N : SemiNormedGroup₁} (f g : M ⟶ N) (w : (f : M → N) = (g : M → N)) :
f = g :=
subtype.eq (normed_group_hom.ext (congr_fun w))
instance : concrete_category.{u} SemiNormedGroup₁ :=
{ forget :=
{ obj := λ X, X,
map := λ X Y f, f, },
forget_faithful := {} }
/-- Construct a bundled `SemiNormedGroup₁` from the underlying type and typeclass. -/
def of (M : Type u) [semi_normed_group M] : SemiNormedGroup₁ := bundled.of M
instance (M : SemiNormedGroup₁) : semi_normed_group M := M.str
/-- Promote a morphism in `SemiNormedGroup` to a morphism in `SemiNormedGroup₁`. -/
def mk_hom {M N : SemiNormedGroup} (f : M ⟶ N) (i : f.norm_noninc) :
SemiNormedGroup₁.of M ⟶ SemiNormedGroup₁.of N :=
⟨f, i⟩
@[simp] lemma mk_hom_apply {M N : SemiNormedGroup} (f : M ⟶ N) (i : f.norm_noninc) (x) :
mk_hom f i x = f x := rfl
/-- Promote an isomorphism in `SemiNormedGroup` to an isomorphism in `SemiNormedGroup₁`. -/
@[simps]
def mk_iso {M N : SemiNormedGroup} (f : M ≅ N) (i : f.hom.norm_noninc) (i' : f.inv.norm_noninc) :
SemiNormedGroup₁.of M ≅ SemiNormedGroup₁.of N :=
{ hom := mk_hom f.hom i,
inv := mk_hom f.inv i',
hom_inv_id' := by { apply subtype.eq, exact f.hom_inv_id, },
inv_hom_id' := by { apply subtype.eq, exact f.inv_hom_id, }, }
instance : has_forget₂ SemiNormedGroup₁ SemiNormedGroup :=
{ forget₂ :=
{ obj := λ X, X,
map := λ X Y f, f.1, }, }
@[simp] lemma coe_of (V : Type u) [semi_normed_group V] : (SemiNormedGroup₁.of V : Type u) = V :=
rfl
@[simp] lemma coe_id (V : SemiNormedGroup₁) : ⇑(𝟙 V) = id := rfl
@[simp] lemma coe_comp {M N K : SemiNormedGroup₁} (f : M ⟶ N) (g : N ⟶ K) :
((f ≫ g) : M → K) = g ∘ f := rfl
instance : has_zero SemiNormedGroup₁ := ⟨of punit⟩
instance : inhabited SemiNormedGroup₁ := ⟨0⟩
instance : limits.has_zero_morphisms.{u (u+1)} SemiNormedGroup₁ :=
{ has_zero := λ X Y, { zero := ⟨0, normed_group_hom.norm_noninc.zero⟩, },
comp_zero' := λ X Y f Z, by { ext, refl, },
zero_comp' := λ X Y Z f, by { ext, simp, }, }
@[simp] lemma zero_apply {V W : SemiNormedGroup₁} (x : V) : (0 : V ⟶ W) x = 0 := rfl
instance has_zero_object : limits.has_zero_object SemiNormedGroup₁.{u} :=
{ zero := 0,
unique_to := λ X,
{ default := 0,
uniq := λ a, by { ext ⟨⟩, exact a.1.map_zero, }, },
unique_from := λ X,
{ default := 0,
uniq := λ f, by ext } }
lemma iso_isometry {V W : SemiNormedGroup₁} (i : V ≅ W) :
isometry i.hom :=
begin
apply normed_group_hom.isometry_of_norm,
intro v,
apply le_antisymm (i.hom.2 v),
calc ∥v∥ = ∥i.inv (i.hom v)∥ : by rw [coe_hom_inv_id]
... ≤ ∥i.hom v∥ : i.inv.2 _,
end
end SemiNormedGroup₁
|
48ac165ffcc7c833b5308af16f085bd32860ed89 | ce6917c5bacabee346655160b74a307b4a5ab620 | /src/ch3/ex0505.lean | a8b1a5d98e3e97fd2b03c4df72f85502a187b07c | [] | no_license | Ailrun/Theorem_Proving_in_Lean | ae6a23f3c54d62d401314d6a771e8ff8b4132db2 | 2eb1b5caf93c6a5a555c79e9097cf2ba5a66cf68 | refs/heads/master | 1,609,838,270,467 | 1,586,846,743,000 | 1,586,846,743,000 | 240,967,761 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 251 | lean | open classical
variables p q : Prop
example (h : ¬(p ∧ q)) : ¬p ∨ ¬q :=
or.elim (em p)
(assume hp : p,
or.inr
(show ¬q, from
assume hq : q,
h ⟨hp, hq⟩))
(assume hp : ¬p,
or.inl hp)
|
8e1c81f4a10a6064449be8b191188d97a02ff0da | e953c38599905267210b87fb5d82dcc3e52a4214 | /library/theories/number_theory/irrational_roots.lean | d291f1c11d9cfc18c22c00ce625e86933d279de7 | [
"Apache-2.0"
] | permissive | c-cube/lean | 563c1020bff98441c4f8ba60111fef6f6b46e31b | 0fb52a9a139f720be418dafac35104468e293b66 | refs/heads/master | 1,610,753,294,113 | 1,440,451,356,000 | 1,440,499,588,000 | 41,748,334 | 0 | 0 | null | 1,441,122,656,000 | 1,441,122,656,000 | null | UTF-8 | Lean | false | false | 7,155 | lean | /-
Copyright (c) 2015 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Jeremy Avigad
A proof that if n > 1 and a > 0, then the nth root of a is irrational, unless a is a perfect nth power.
-/
import data.rat .prime_factorization
open eq.ops
/- First, a textbook proof that sqrt 2 is irrational. -/
section
open nat
theorem sqrt_two_irrational {a b : ℕ} (co : coprime a b) : a^2 ≠ 2 * b^2 :=
assume H : a^2 = 2 * b^2,
have even (a^2), from even_of_exists (exists.intro _ H),
have even a, from even_of_even_pow this,
obtain c (aeq : a = 2 * c), from exists_of_even this,
have 2 * (2 * c^2) = 2 * b^2, by rewrite [-H, aeq, *pow_two, mul.assoc, mul.left_comm c],
have 2 * c^2 = b^2, from eq_of_mul_eq_mul_left dec_trivial this,
have even (b^2), from even_of_exists (exists.intro _ (eq.symm this)),
have even b, from even_of_even_pow this,
have 2 ∣ gcd a b, from dvd_gcd (dvd_of_even `even a`) (dvd_of_even `even b`),
have 2 ∣ 1, from co ▸ this,
absurd `2 ∣ 1` dec_trivial
end
/-
Replacing 2 by an arbitrary prime and the power 2 by any n ≥ 1 yields the stronger result
that the nth root of an integer is irrational, unless the integer is already a perfect nth
power.
-/
section
open nat decidable
theorem root_irrational {a b c n : ℕ} (npos : n > 0) (apos : a > 0) (co : coprime a b)
(H : a^n = c * b^n) :
b = 1 :=
have bpos : b > 0, from pos_of_ne_zero
(suppose b = 0,
have a^n = 0, by rewrite [H, this, zero_pow npos],
assert a = 0, from eq_zero_of_pow_eq_zero this,
show false, from ne_of_lt `0 < a` this⁻¹),
have H₁ : ∀ p, prime p → ¬ p ∣ b, from
take p, suppose prime p, suppose p ∣ b,
assert p ∣ b^n, from dvd_pow_of_dvd_of_pos `p ∣ b` `n > 0`,
have p ∣ a^n, by rewrite H; apply dvd_mul_of_dvd_right this,
have p ∣ a, from dvd_of_prime_of_dvd_pow `prime p` this,
have ¬ coprime a b, from not_coprime_of_dvd_of_dvd (gt_one_of_prime `prime p`) `p ∣ a` `p ∣ b`,
show false, from this `coprime a b`,
have b < 2, from by_contradiction
(suppose ¬ b < 2,
have b ≥ 2, from le_of_not_gt this,
obtain p [primep pdvdb], from exists_prime_and_dvd this,
show false, from H₁ p primep pdvdb),
show b = 1, from (le.antisymm (le_of_lt_succ `b < 2`) (succ_le_of_lt `b > 0`))
end
/-
Here we state this in terms of the rationals, ℚ. The main difficulty is casting between ℕ, ℤ,
and ℚ.
-/
section
open rat int nat decidable
theorem denom_eq_one_of_pow_eq {q : ℚ} {n : ℕ} {c : ℤ} (npos : n > 0) (H : q^n = c) :
denom q = 1 :=
let a := num q, b := denom q in
have b ≠ 0, from ne_of_gt (denom_pos q),
have bnz : b ≠ (0 : ℚ), from assume H, `b ≠ 0` (of_int.inj H),
have bnnz : (#rat b^n ≠ 0), from assume bneqz, bnz (eq_zero_of_pow_eq_zero bneqz),
have a^n / b^n = c, using bnz, by rewrite [*of_int_pow, -(!div_pow bnz), -eq_num_div_denom, -H],
have a^n = c * b^n, from eq.symm (mul_eq_of_eq_div bnnz this⁻¹),
have a^n = c * b^n, -- int version
using this, by rewrite [-of_int_pow at this, -of_int_mul at this]; exact of_int.inj this,
have (abs a)^n = abs c * (abs b)^n,
using this, by rewrite [-int.abs_pow, this, int.abs_mul, int.abs_pow],
have H₁ : (nat_abs a)^n = nat_abs c * (nat_abs b)^n,
using this,
by apply of_nat.inj; rewrite [int.of_nat_mul, +of_nat_pow, +of_nat_nat_abs]; assumption,
have H₂ : nat.coprime (nat_abs a) (nat_abs b), from of_nat.inj !coprime_num_denom,
have nat_abs b = 1, from
by_cases
(suppose q = 0, by rewrite this)
(suppose q ≠ 0,
have a ≠ 0, from suppose a = 0, `q ≠ 0` (by rewrite [eq_num_div_denom, `a = 0`, zero_div]),
have nat_abs a ≠ 0, from suppose nat_abs a = 0, `a ≠ 0` (eq_zero_of_nat_abs_eq_zero this),
show nat_abs b = 1, from (root_irrational npos (pos_of_ne_zero this) H₂ H₁)),
show b = 1, using this, by rewrite [-of_nat_nat_abs_of_nonneg (le_of_lt !denom_pos), this]
theorem eq_num_pow_of_pow_eq {q : ℚ} {n : ℕ} {c : ℤ} (npos : n > 0) (H : q^n = c) :
c = (num q)^n :=
have denom q = 1, from denom_eq_one_of_pow_eq npos H,
have of_int c = (num q)^n, using this,
by rewrite [-H, eq_num_div_denom q at {1}, this, div_one, of_int_pow],
show c = (num q)^n , from of_int.inj this
end
/- As a corollary, for n > 1, the nth root of a prime is irrational. -/
section
open nat
theorem not_eq_pow_of_prime {p n : ℕ} (a : ℕ) (ngt1 : n > 1) (primep : prime p) : p ≠ a^n :=
assume peq : p = a^n,
have npos : n > 0, from lt.trans dec_trivial ngt1,
have pnez : p ≠ 0, from
(suppose p = 0,
show false,
by let H := (pos_of_prime primep); rewrite this at H; exfalso; exact !lt.irrefl H),
have agtz : a > 0, from pos_of_ne_zero
(suppose a = 0,
show false, using npos pnez, by revert peq; rewrite [this, zero_pow npos]; exact pnez),
have n * mult p a = 1, from calc
n * mult p a = mult p (a^n) : using agtz, by rewrite [mult_pow n agtz primep]
... = mult p p : peq
... = 1 : mult_self (gt_one_of_prime primep),
have n ∣ 1, from dvd_of_mul_right_eq this,
have n = 1, from eq_one_of_dvd_one this,
show false, using this, by rewrite this at ngt1; exact !lt.irrefl ngt1
open int rat
theorem root_prime_irrational {p n : ℕ} {q : ℚ} (qnonneg : q ≥ 0) (ngt1 : n > 1)
(primep : prime p) :
q^n ≠ p :=
have numq : num q ≥ 0, from num_nonneg_of_nonneg qnonneg,
have npos : n > 0, from lt.trans dec_trivial ngt1,
suppose q^n = p,
have p = (num q)^n, from eq_num_pow_of_pow_eq npos this,
have p = (nat_abs (num q))^n, using this numq,
by apply of_nat.inj; rewrite [this, of_nat_pow, of_nat_nat_abs_of_nonneg numq],
show false, from not_eq_pow_of_prime _ ngt1 primep this
end
/-
Thaetetus, who lives in the fourth century BC, is said to have proved the irrationality of square
roots up to seventeen. In Chapter 4 of /Why Prove it Again/, John Dawson notes that Thaetetus may
have used an approach similar to the one below. (See data/nat/gcd.lean for the key theorem,
"div_gcd_eq_div_gcd".)
-/
section
open int
example {a b c : ℤ} (co : coprime a b) (apos : a > 0) (bpos : b > 0)
(H : a * a = c * (b * b)) :
b = 1 :=
assert H₁ : gcd (c * b) a = gcd c a, from gcd_mul_right_cancel_of_coprime _ (coprime_swap co),
have a * a = c * b * b, by rewrite -mul.assoc at H; apply H,
have a div (gcd a b) = c * b div gcd (c * b) a, from div_gcd_eq_div_gcd this bpos apos,
have a = c * b div gcd c a,
using this, by revert this; rewrite [↑coprime at co, co, div_one, H₁]; intros; assumption,
have a = b * (c div gcd c a),
using this,
by revert this; rewrite [mul.comm, !mul_div_assoc !gcd_dvd_left]; intros; assumption,
have b ∣ a, from dvd_of_mul_right_eq this⁻¹,
have b ∣ gcd a b, from dvd_gcd this !dvd.refl,
have b ∣ 1, using this, by rewrite [↑coprime at co, co at this]; apply this,
show b = 1, from eq_one_of_dvd_one (le_of_lt bpos) this
end
|
3d66f3959ece58c1c928ad96bc998f24145d9a6f | 4fa161becb8ce7378a709f5992a594764699e268 | /src/field_theory/finite.lean | ebe93ac8507c9f8e8ebf03ef8ce42f411f011a62 | [
"Apache-2.0"
] | permissive | laughinggas/mathlib | e4aa4565ae34e46e834434284cb26bd9d67bc373 | 86dcd5cda7a5017c8b3c8876c89a510a19d49aad | refs/heads/master | 1,669,496,232,688 | 1,592,831,995,000 | 1,592,831,995,000 | 274,155,979 | 0 | 0 | Apache-2.0 | 1,592,835,190,000 | 1,592,835,189,000 | null | UTF-8 | Lean | false | false | 10,070 | lean | /-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Joey van Langen, Casper Putz
-/
import data.equiv.ring
import data.zmod.basic
import linear_algebra.basis
import ring_theory.integral_domain
/-!
# Finite fields
This file contains basic results about finite fields.
Throughout most of this file, `K` denotes a finite field
and `q` is notation for the cardinality of `K`.
## Main results
1. Every finite integral domain is a field (`field_of_integral_domain`).
2. The unit group of a finite field is a cyclic group of order `q - 1`.
(`finite_field.is_cyclic` and `card_units`)
3. `sum_pow_units`: The sum of `x^i`, where `x` ranges over the units of `K`, is
- `q-1` if `q-1 ∣ i`
- `0` otherwise
4. `finite_field.card`: The cardinality `q` is a power of the characteristic of `K`.
See `card'` for a variant.
## Notation
Throughout most of this file, `K` denotes a finite field
and `q` is notation for the cardinality of `K`.
-/
variables {K : Type*} [field K] [fintype K]
variables {R : Type*} [integral_domain R]
local notation `q` := fintype.card K
open_locale big_operators
namespace finite_field
open finset function
section polynomial
open polynomial
/-- The cardinality of a field is at most `n` times the cardinality of the image of a degree `n`
polynomial -/
lemma card_image_polynomial_eval [fintype R] [decidable_eq R] {p : polynomial R} (hp : 0 < p.degree) :
fintype.card R ≤ nat_degree p * (univ.image (λ x, eval x p)).card :=
finset.card_le_mul_card_image _ _
(λ a _, calc _ = (p - C a).roots.card : congr_arg card
(by simp [finset.ext_iff, mem_roots_sub_C hp, -sub_eq_add_neg])
... ≤ _ : card_roots_sub_C' hp)
/-- If `f` and `g` are quadratic polynomials, then the `f.eval a + g.eval b = 0` has a solution. -/
lemma exists_root_sum_quadratic [fintype R] {f g : polynomial R} (hf2 : degree f = 2)
(hg2 : degree g = 2) (hR : fintype.card R % 2 = 1) : ∃ a b, f.eval a + g.eval b = 0 :=
by letI := classical.dec_eq R; exact
suffices ¬ disjoint (univ.image (λ x : R, eval x f)) (univ.image (λ x : R, eval x (-g))),
begin
simp only [disjoint_left, mem_image] at this,
push_neg at this,
rcases this with ⟨x, ⟨a, _, ha⟩, ⟨b, _, hb⟩⟩,
exact ⟨a, b, by rw [ha, ← hb, eval_neg, neg_add_self]⟩
end,
assume hd : disjoint _ _,
lt_irrefl (2 * ((univ.image (λ x : R, eval x f)) ∪ (univ.image (λ x : R, eval x (-g)))).card) $
calc 2 * ((univ.image (λ x : R, eval x f)) ∪ (univ.image (λ x : R, eval x (-g)))).card
≤ 2 * fintype.card R : nat.mul_le_mul_left _ (finset.card_le_of_subset (subset_univ _))
... = fintype.card R + fintype.card R : two_mul _
... < nat_degree f * (univ.image (λ x : R, eval x f)).card +
nat_degree (-g) * (univ.image (λ x : R, eval x (-g))).card :
add_lt_add_of_lt_of_le
(lt_of_le_of_ne
(card_image_polynomial_eval (by rw hf2; exact dec_trivial))
(mt (congr_arg (%2)) (by simp [nat_degree_eq_of_degree_eq_some hf2, hR])))
(card_image_polynomial_eval (by rw [degree_neg, hg2]; exact dec_trivial))
... = 2 * (univ.image (λ x : R, eval x f) ∪ univ.image (λ x : R, eval x (-g))).card :
by rw [card_disjoint_union hd]; simp [nat_degree_eq_of_degree_eq_some hf2,
nat_degree_eq_of_degree_eq_some hg2, bit0, mul_add]
end polynomial
lemma card_units : fintype.card (units K) = fintype.card K - 1 :=
begin
classical,
rw [eq_comm, nat.sub_eq_iff_eq_add (fintype.card_pos_iff.2 ⟨(0 : K)⟩)],
haveI := set_fintype {a : K | a ≠ 0},
haveI := set_fintype (@set.univ K),
rw [fintype.card_congr (equiv.units_equiv_ne_zero _),
← @set.card_insert _ _ {a : K | a ≠ 0} _ (not_not.2 (eq.refl (0 : K)))
(set.fintype_insert _ _), fintype.card_congr (equiv.set.univ K).symm],
congr; simp [set.ext_iff, classical.em]
end
lemma prod_univ_units_id_eq_neg_one :
(∏ x : units K, x) = (-1 : units K) :=
begin
classical,
have : (∏ x in (@univ (units K) _).erase (-1), x) = 1,
from prod_involution (λ x _, x⁻¹) (by simp)
(λ a, by simp [units.inv_eq_self_iff] {contextual := tt})
(λ a, by simp [@inv_eq_iff_inv_eq _ _ a, eq_comm] {contextual := tt})
(by simp),
rw [← insert_erase (mem_univ (-1 : units K)), prod_insert (not_mem_erase _ _),
this, mul_one]
end
lemma pow_card_sub_one_eq_one (a : K) (ha : a ≠ 0) :
a ^ (fintype.card K - 1) = 1 :=
calc a ^ (fintype.card K - 1) = (units.mk0 a ha ^ (fintype.card K - 1) : units K) :
by rw [units.coe_pow, units.coe_mk0]
... = 1 : by { classical, rw [← card_units, pow_card_eq_one], refl }
variable (K)
theorem card (p : ℕ) [char_p K p] : ∃ (n : ℕ+), nat.prime p ∧ q = p^(n : ℕ) :=
begin
haveI hp : fact p.prime := char_p.char_is_prime K p,
letI : vector_space (zmod p) K := { .. (zmod.cast_hom (dvd_refl _) K).to_semimodule },
obtain ⟨n, h⟩ := vector_space.card_fintype (zmod p) K,
rw zmod.card at h,
refine ⟨⟨n, _⟩, hp, h⟩,
apply or.resolve_left (nat.eq_zero_or_pos n),
rintro rfl,
rw nat.pow_zero at h,
have : (0 : K) = 1, { apply fintype.card_le_one_iff.mp (le_of_eq h) },
exact absurd this zero_ne_one,
end
theorem card' : ∃ (p : ℕ) (n : ℕ+), nat.prime p ∧ q = p^(n : ℕ) :=
let ⟨p, hc⟩ := char_p.exists K in ⟨p, @finite_field.card K _ _ p hc⟩
@[simp] lemma cast_card_eq_zero : (q : K) = 0 :=
begin
rcases char_p.exists K with ⟨p, _char_p⟩, resetI,
rcases card K p with ⟨n, hp, hn⟩,
simp only [char_p.cast_eq_zero_iff K p, hn],
conv { congr, rw [← nat.pow_one p] },
exact nat.pow_dvd_pow _ n.2,
end
lemma forall_pow_eq_one_iff (i : ℕ) :
(∀ x : units K, x ^ i = 1) ↔ q - 1 ∣ i :=
begin
obtain ⟨x, hx⟩ := is_cyclic.exists_generator (units K),
classical,
rw [← card_units, ← order_of_eq_card_of_forall_mem_gpowers hx, order_of_dvd_iff_pow_eq_one],
split,
{ intro h, apply h },
{ intros h y,
rw ← powers_eq_gpowers at hx,
rcases hx y with ⟨j, rfl⟩,
rw [← pow_mul, mul_comm, pow_mul, h, one_pow], }
end
/-- The sum of `x ^ i` as `x` ranges over the units of a finite field of cardinality `q`
is equal to `0` unless `(q - 1) ∣ i`, in which case the sum is `q - 1`. -/
lemma sum_pow_units (i : ℕ) :
∑ x : units K, (x ^ i : K) = if (q - 1) ∣ i then -1 else 0 :=
begin
let φ : units K →* K :=
{ to_fun := λ x, x ^ i,
map_one' := by rw [units.coe_one, one_pow],
map_mul' := by { intros, rw [units.coe_mul, mul_pow] } },
haveI : decidable (φ = 1) := by { classical, apply_instance },
calc ∑ x : units K, φ x = if φ = 1 then fintype.card (units K) else 0 : sum_hom_units φ
... = if (q - 1) ∣ i then -1 else 0 : _,
suffices : (q - 1) ∣ i ↔ φ = 1,
{ simp only [this],
split_ifs with h h, swap, refl,
rw [card_units, nat.cast_sub, cast_card_eq_zero, nat.cast_one, zero_sub],
show 1 ≤ q, from fintype.card_pos_iff.mpr ⟨0⟩ },
rw [← forall_pow_eq_one_iff, monoid_hom.ext_iff],
apply forall_congr, intro x,
rw [units.ext_iff, units.coe_pow, units.coe_one, monoid_hom.one_apply],
refl,
end
/-- The sum of `x ^ i` as `x` ranges over a finite field of cardinality `q`
is equal to `0` if `i < q - 1`. -/
lemma sum_pow_lt_card_sub_one (i : ℕ) (h : i < q - 1) :
∑ x : K, x ^ i = 0 :=
begin
by_cases hi : i = 0,
{ simp only [hi, nsmul_one, sum_const, pow_zero, card_univ, cast_card_eq_zero], },
classical,
have hiq : ¬ (q - 1) ∣ i, { contrapose! h, exact nat.le_of_dvd (nat.pos_of_ne_zero hi) h },
let φ : units K ↪ K := ⟨coe, units.ext⟩,
have : univ.map φ = univ \ {0},
{ ext x,
simp only [true_and, embedding.coe_fn_mk, mem_sdiff, units.exists_iff_ne_zero,
mem_univ, mem_map, exists_prop_of_true, mem_singleton] },
calc ∑ x : K, x ^ i = ∑ x in univ \ {(0 : K)}, x ^ i :
by rw [← sum_sdiff ({0} : finset K).subset_univ, sum_singleton,
zero_pow (nat.pos_of_ne_zero hi), add_zero]
... = ∑ x : units K, x ^ i : by { rw [← this, univ.sum_map φ], refl }
... = 0 : by { rw [sum_pow_units K i, if_neg], exact hiq, }
end
end finite_field
namespace zmod
open finite_field polynomial
lemma sum_two_squares (p : ℕ) [hp : fact p.prime] (x : zmod p) :
∃ a b : zmod p, a^2 + b^2 = x :=
begin
cases hp.eq_two_or_odd with hp2 hp_odd,
{ unfreezeI, subst p, revert x, exact dec_trivial },
let f : polynomial (zmod p) := X^2,
let g : polynomial (zmod p) := X^2 - C x,
obtain ⟨a, b, hab⟩ : ∃ a b, f.eval a + g.eval b = 0 :=
@exists_root_sum_quadratic _ _ _ f g
(degree_X_pow 2) (degree_X_pow_sub_C dec_trivial _) (by rw [zmod.card, hp_odd]),
refine ⟨a, b, _⟩,
rw ← sub_eq_zero,
simpa only [eval_C, eval_X, eval_pow, eval_sub, ← add_sub_assoc] using hab,
end
end zmod
namespace char_p
lemma sum_two_squares (R : Type*) [integral_domain R] (p : ℕ) [fact (0 < p)] [char_p R p] (x : ℤ) :
∃ a b : ℕ, (a^2 + b^2 : R) = x :=
begin
haveI := char_is_prime_of_pos R p,
obtain ⟨a, b, hab⟩ := zmod.sum_two_squares p x,
refine ⟨a.val, b.val, _⟩,
simpa using congr_arg (zmod.cast_hom (dvd_refl _) R) hab
end
end char_p
open_locale nat
open zmod
/-- The Fermat-Euler totient theorem. `nat.modeq.pow_totient` is an alternative statement
of the same theorem. -/
@[simp] lemma zmod.pow_totient {n : ℕ} [fact (0 < n)] (x : units (zmod n)) : x ^ φ n = 1 :=
by rw [← card_units_eq_totient, pow_card_eq_one]
/-- The Fermat-Euler totient theorem. `zmod.pow_totient` is an alternative statement
of the same theorem. -/
lemma nat.modeq.pow_totient {x n : ℕ} (h : nat.coprime x n) : x ^ φ n ≡ 1 [MOD n] :=
begin
cases n, {simp},
rw ← zmod.eq_iff_modeq_nat,
let x' : units (zmod (n+1)) := zmod.unit_of_coprime _ h,
have := zmod.pow_totient x',
apply_fun (coe : units (zmod (n+1)) → zmod (n+1)) at this,
simpa only [-zmod.pow_totient, nat.succ_eq_add_one, nat.cast_pow, units.coe_one,
nat.cast_one, cast_unit_of_coprime, units.coe_pow],
end
|
b53cf73378ddcf0ee4e5b1b8bd158a7bf47472b5 | 55c7fc2bf55d496ace18cd6f3376e12bb14c8cc5 | /src/algebra/ring/pi.lean | 33f58e1f7d6c6190b71075975db0aeb893a3f36e | [
"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 | 2,588 | lean | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import tactic.pi_instances
import algebra.group.pi
import algebra.ring.basic
/-!
# Pi instances for ring
This file defines instances for ring, semiring and related structures on Pi Types
-/
namespace pi
universes u v w
variable {I : Type u} -- The indexing type
variable {f : I → Type v} -- The family of types already equipped with instances
variables (x y : Π i, f i) (i : I)
instance mul_zero_class [Π i, mul_zero_class $ f i] : mul_zero_class (Π i : I, f i) :=
by refine_struct { zero := (0 : Π i, f i), mul := (*), .. }; tactic.pi_instance_derive_field
instance distrib [Π i, distrib $ f i] : distrib (Π i : I, f i) :=
by refine_struct { add := (+), mul := (*), .. }; tactic.pi_instance_derive_field
instance semiring [∀ i, semiring $ f i] : semiring (Π i : I, f i) :=
by refine_struct { zero := (0 : Π i, f i), one := 1, add := (+), mul := (*), .. };
tactic.pi_instance_derive_field
instance ring [∀ i, ring $ f i] : ring (Π i : I, f i) :=
by refine_struct { zero := (0 : Π i, f i), one := 1, add := (+), mul := (*),
neg := has_neg.neg, .. }; tactic.pi_instance_derive_field
instance comm_ring [∀ i, comm_ring $ f i] : comm_ring (Π i : I, f i) :=
by refine_struct { zero := (0 : Π i, f i), one := 1, add := (+), mul := (*),
neg := has_neg.neg, .. }; tactic.pi_instance_derive_field
/-- A family of ring homomorphisms `f a : γ →+* β a` defines a ring homomorphism
`pi.ring_hom f : γ →+* Π a, β a` given by `pi.ring_hom f x b = f b x`. -/
protected def ring_hom
{α : Type u} {β : α → Type v} [R : Π a : α, semiring (β a)]
{γ : Type w} [semiring γ] (f : Π a : α, γ →+* β a) :
γ →+* Π a, β a :=
{ to_fun := λ x b, f b x,
map_add' := λ x y, funext $ λ z, (f z).map_add x y,
map_mul' := λ x y, funext $ λ z, (f z).map_mul x y,
map_one' := funext $ λ z, (f z).map_one,
map_zero' := funext $ λ z, (f z).map_zero }
end pi
section ring_hom
variable {I : Type*} -- The indexing type
variable (f : I → Type*) -- The family of types already equipped with instances
variables [Π i, semiring (f i)]
/-- Evaluation of functions into an indexed collection of monoids at a point is a monoid homomorphism. -/
def ring_hom.apply (i : I) : (Π i, f i) →+* f i :=
{ ..(monoid_hom.apply f i),
..(add_monoid_hom.apply f i) }
@[simp]
lemma ring_hom.apply_apply (i : I) (g : Π i, f i) : (ring_hom.apply f i) g = g i := rfl
end ring_hom
|
0c99e3f44ff19f3f8ccba944ec534f85b40f7b4a | c777c32c8e484e195053731103c5e52af26a25d1 | /src/data/complex/basic.lean | 74951e27e6bbf9546fba4fa37bdb98f3c3b55e37 | [
"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 | 30,931 | lean | /-
Copyright (c) 2017 Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Buzzard, Mario Carneiro
-/
import data.real.sqrt
/-!
# The complex numbers
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
The complex numbers are modelled as ℝ^2 in the obvious way and it is shown that they form a field
of characteristic zero. The result that the complex numbers are algebraically closed, see
`field_theory.algebraic_closure`.
-/
open_locale big_operators
open set function
/-! ### Definition and basic arithmmetic -/
/-- Complex numbers consist of two `real`s: a real part `re` and an imaginary part `im`. -/
structure complex : Type :=
(re : ℝ) (im : ℝ)
notation `ℂ` := complex
namespace complex
open_locale complex_conjugate
noncomputable instance : decidable_eq ℂ := classical.dec_eq _
/-- The equivalence between the complex numbers and `ℝ × ℝ`. -/
@[simps apply]
def equiv_real_prod : ℂ ≃ (ℝ × ℝ) :=
{ to_fun := λ z, ⟨z.re, z.im⟩,
inv_fun := λ p, ⟨p.1, p.2⟩,
left_inv := λ ⟨x, y⟩, rfl,
right_inv := λ ⟨x, y⟩, rfl }
@[simp] theorem eta : ∀ z : ℂ, complex.mk z.re z.im = z
| ⟨a, b⟩ := rfl
@[ext]
theorem ext : ∀ {z w : ℂ}, z.re = w.re → z.im = w.im → z = w
| ⟨zr, zi⟩ ⟨_, _⟩ rfl rfl := rfl
theorem ext_iff {z w : ℂ} : z = w ↔ z.re = w.re ∧ z.im = w.im :=
⟨λ H, by simp [H], λ h, ext h.1 h.2⟩
theorem re_surjective : surjective re := λ x, ⟨⟨x, 0⟩, rfl⟩
theorem im_surjective : surjective im := λ y, ⟨⟨0, y⟩, rfl⟩
@[simp] theorem range_re : range re = univ := re_surjective.range_eq
@[simp] theorem range_im : range im = univ := im_surjective.range_eq
instance : has_coe ℝ ℂ := ⟨λ r, ⟨r, 0⟩⟩
@[simp, norm_cast] lemma of_real_re (r : ℝ) : (r : ℂ).re = r := rfl
@[simp, norm_cast] lemma of_real_im (r : ℝ) : (r : ℂ).im = 0 := rfl
lemma of_real_def (r : ℝ) : (r : ℂ) = ⟨r, 0⟩ := rfl
@[simp, norm_cast] theorem of_real_inj {z w : ℝ} : (z : ℂ) = w ↔ z = w :=
⟨congr_arg re, congr_arg _⟩
theorem of_real_injective : function.injective (coe : ℝ → ℂ) :=
λ z w, congr_arg re
instance can_lift : can_lift ℂ ℝ coe (λ z, z.im = 0) :=
{ prf := λ z hz, ⟨z.re, ext rfl hz.symm⟩ }
/-- The product of a set on the real axis and a set on the imaginary axis of the complex plane,
denoted by `s ×ℂ t`. -/
def _root_.set.re_prod_im (s t : set ℝ) : set ℂ := re ⁻¹' s ∩ im ⁻¹' t
infix ` ×ℂ `:72 := set.re_prod_im
lemma mem_re_prod_im {z : ℂ} {s t : set ℝ} : z ∈ s ×ℂ t ↔ z.re ∈ s ∧ z.im ∈ t := iff.rfl
instance : has_zero ℂ := ⟨(0 : ℝ)⟩
instance : inhabited ℂ := ⟨0⟩
@[simp] lemma zero_re : (0 : ℂ).re = 0 := rfl
@[simp] lemma zero_im : (0 : ℂ).im = 0 := rfl
@[simp, norm_cast] lemma of_real_zero : ((0 : ℝ) : ℂ) = 0 := rfl
@[simp] theorem of_real_eq_zero {z : ℝ} : (z : ℂ) = 0 ↔ z = 0 := of_real_inj
theorem of_real_ne_zero {z : ℝ} : (z : ℂ) ≠ 0 ↔ z ≠ 0 := not_congr of_real_eq_zero
instance : has_one ℂ := ⟨(1 : ℝ)⟩
@[simp] lemma one_re : (1 : ℂ).re = 1 := rfl
@[simp] lemma one_im : (1 : ℂ).im = 0 := rfl
@[simp, norm_cast] lemma of_real_one : ((1 : ℝ) : ℂ) = 1 := rfl
@[simp] theorem of_real_eq_one {z : ℝ} : (z : ℂ) = 1 ↔ z = 1 := of_real_inj
theorem of_real_ne_one {z : ℝ} : (z : ℂ) ≠ 1 ↔ z ≠ 1 := not_congr of_real_eq_one
instance : has_add ℂ := ⟨λ z w, ⟨z.re + w.re, z.im + w.im⟩⟩
@[simp] lemma add_re (z w : ℂ) : (z + w).re = z.re + w.re := rfl
@[simp] lemma add_im (z w : ℂ) : (z + w).im = z.im + w.im := rfl
@[simp] lemma bit0_re (z : ℂ) : (bit0 z).re = bit0 z.re := rfl
@[simp] lemma bit1_re (z : ℂ) : (bit1 z).re = bit1 z.re := rfl
@[simp] lemma bit0_im (z : ℂ) : (bit0 z).im = bit0 z.im := eq.refl _
@[simp] lemma bit1_im (z : ℂ) : (bit1 z).im = bit0 z.im := add_zero _
@[simp, norm_cast] lemma of_real_add (r s : ℝ) : ((r + s : ℝ) : ℂ) = r + s :=
ext_iff.2 $ by simp
@[simp, norm_cast] lemma of_real_bit0 (r : ℝ) : ((bit0 r : ℝ) : ℂ) = bit0 r :=
ext_iff.2 $ by simp [bit0]
@[simp, norm_cast] lemma of_real_bit1 (r : ℝ) : ((bit1 r : ℝ) : ℂ) = bit1 r :=
ext_iff.2 $ by simp [bit1]
instance : has_neg ℂ := ⟨λ z, ⟨-z.re, -z.im⟩⟩
@[simp] lemma neg_re (z : ℂ) : (-z).re = -z.re := rfl
@[simp] lemma neg_im (z : ℂ) : (-z).im = -z.im := rfl
@[simp, norm_cast] lemma of_real_neg (r : ℝ) : ((-r : ℝ) : ℂ) = -r := ext_iff.2 $ by simp
instance : has_sub ℂ := ⟨λ z w, ⟨z.re - w.re, z.im - w.im⟩⟩
instance : has_mul ℂ := ⟨λ z w, ⟨z.re * w.re - z.im * w.im, z.re * w.im + z.im * w.re⟩⟩
@[simp] lemma mul_re (z w : ℂ) : (z * w).re = z.re * w.re - z.im * w.im := rfl
@[simp] lemma mul_im (z w : ℂ) : (z * w).im = z.re * w.im + z.im * w.re := rfl
@[simp, norm_cast] lemma of_real_mul (r s : ℝ) : ((r * s : ℝ) : ℂ) = r * s := ext_iff.2 $ by simp
lemma of_real_mul_re (r : ℝ) (z : ℂ) : (↑r * z).re = r * z.re := by simp
lemma of_real_mul_im (r : ℝ) (z : ℂ) : (↑r * z).im = r * z.im := by simp
lemma of_real_mul' (r : ℝ) (z : ℂ) : (↑r * z) = ⟨r * z.re, r * z.im⟩ :=
ext (of_real_mul_re _ _) (of_real_mul_im _ _)
/-! ### The imaginary unit, `I` -/
/-- The imaginary unit. -/
def I : ℂ := ⟨0, 1⟩
@[simp] lemma I_re : I.re = 0 := rfl
@[simp] lemma I_im : I.im = 1 := rfl
@[simp] lemma I_mul_I : I * I = -1 := ext_iff.2 $ by simp
lemma I_mul (z : ℂ) : I * z = ⟨-z.im, z.re⟩ :=
ext_iff.2 $ by simp
lemma I_ne_zero : (I : ℂ) ≠ 0 := mt (congr_arg im) zero_ne_one.symm
lemma mk_eq_add_mul_I (a b : ℝ) : complex.mk a b = a + b * I :=
ext_iff.2 $ by simp
@[simp] lemma re_add_im (z : ℂ) : (z.re : ℂ) + z.im * I = z :=
ext_iff.2 $ by simp
lemma mul_I_re (z : ℂ) : (z * I).re = -z.im := by simp
lemma mul_I_im (z : ℂ) : (z * I).im = z.re := by simp
lemma I_mul_re (z : ℂ) : (I * z).re = -z.im := by simp
lemma I_mul_im (z : ℂ) : (I * z).im = z.re := by simp
@[simp] lemma equiv_real_prod_symm_apply (p : ℝ × ℝ) :
equiv_real_prod.symm p = p.1 + p.2 * I :=
by { ext; simp [equiv_real_prod] }
/-! ### Commutative ring instance and lemmas -/
/- We use a nonstandard formula for the `ℕ` and `ℤ` actions to make sure there is no
diamond from the other actions they inherit through the `ℝ`-action on `ℂ` and action transitivity
defined in `data.complex.module.lean`. -/
instance : nontrivial ℂ := pullback_nonzero re rfl rfl
instance : add_comm_group ℂ :=
by refine_struct
{ zero := (0 : ℂ),
add := (+),
neg := has_neg.neg,
sub := has_sub.sub,
nsmul := λ n z, ⟨n • z.re - 0 * z.im, n • z.im + 0 * z.re⟩,
zsmul := λ n z, ⟨n • z.re - 0 * z.im, n • z.im + 0 * z.re⟩ };
intros; try { refl }; apply ext_iff.2; split; simp; {ring1 <|> ring_nf}
instance : add_group_with_one ℂ :=
{ nat_cast := λ n, ⟨n, 0⟩,
nat_cast_zero := by ext; simp [nat.cast],
nat_cast_succ := λ _, by ext; simp [nat.cast],
int_cast := λ n, ⟨n, 0⟩,
int_cast_of_nat := λ _, by ext; simp [λ n, show @coe ℕ ℂ ⟨_⟩ n = ⟨n, 0⟩, from rfl],
int_cast_neg_succ_of_nat := λ _, by ext; simp [λ n, show @coe ℕ ℂ ⟨_⟩ n = ⟨n, 0⟩, from rfl],
one := 1,
.. complex.add_comm_group }
instance : comm_ring ℂ :=
by refine_struct
{ zero := (0 : ℂ),
add := (+),
one := 1,
mul := (*),
npow := @npow_rec _ ⟨(1 : ℂ)⟩ ⟨(*)⟩,
.. complex.add_group_with_one };
intros; try { refl }; apply ext_iff.2; split; simp; {ring1 <|> ring_nf}
/-- This shortcut instance ensures we do not find `ring` via the noncomputable `complex.field`
instance. -/
instance : ring ℂ := by apply_instance
/-- This shortcut instance ensures we do not find `comm_semiring` via the noncomputable
`complex.field` instance. -/
instance : comm_semiring ℂ := infer_instance
/-- The "real part" map, considered as an additive group homomorphism. -/
def re_add_group_hom : ℂ →+ ℝ :=
{ to_fun := re,
map_zero' := zero_re,
map_add' := add_re }
@[simp] lemma coe_re_add_group_hom : (re_add_group_hom : ℂ → ℝ) = re := rfl
/-- The "imaginary part" map, considered as an additive group homomorphism. -/
def im_add_group_hom : ℂ →+ ℝ :=
{ to_fun := im,
map_zero' := zero_im,
map_add' := add_im }
@[simp] lemma coe_im_add_group_hom : (im_add_group_hom : ℂ → ℝ) = im := rfl
@[simp] lemma I_pow_bit0 (n : ℕ) : I ^ (bit0 n) = (-1) ^ n :=
by rw [pow_bit0', I_mul_I]
@[simp] lemma I_pow_bit1 (n : ℕ) : I ^ (bit1 n) = (-1) ^ n * I :=
by rw [pow_bit1', I_mul_I]
/-! ### Complex conjugation -/
/-- This defines the complex conjugate as the `star` operation of the `star_ring ℂ`. It
is recommended to use the ring endomorphism version `star_ring_end`, available under the
notation `conj` in the locale `complex_conjugate`. -/
instance : star_ring ℂ :=
{ star := λ z, ⟨z.re, -z.im⟩,
star_involutive := λ x, by simp only [eta, neg_neg],
star_mul := λ a b, by ext; simp [add_comm]; ring,
star_add := λ a b, by ext; simp [add_comm] }
@[simp] lemma conj_re (z : ℂ) : (conj z).re = z.re := rfl
@[simp] lemma conj_im (z : ℂ) : (conj z).im = -z.im := rfl
lemma conj_of_real (r : ℝ) : conj (r : ℂ) = r := ext_iff.2 $ by simp [conj]
@[simp] lemma conj_I : conj I = -I := ext_iff.2 $ by simp
lemma conj_bit0 (z : ℂ) : conj (bit0 z) = bit0 (conj z) := ext_iff.2 $ by simp [bit0]
lemma conj_bit1 (z : ℂ) : conj (bit1 z) = bit1 (conj z) := ext_iff.2 $ by simp [bit0]
@[simp] lemma conj_neg_I : conj (-I) = I := ext_iff.2 $ by simp
lemma conj_eq_iff_real {z : ℂ} : conj z = z ↔ ∃ r : ℝ, z = r :=
⟨λ h, ⟨z.re, ext rfl $ eq_zero_of_neg_eq (congr_arg im h)⟩,
λ ⟨h, e⟩, by rw [e, conj_of_real]⟩
lemma conj_eq_iff_re {z : ℂ} : conj z = z ↔ (z.re : ℂ) = z :=
conj_eq_iff_real.trans ⟨by rintro ⟨r, rfl⟩; simp, λ h, ⟨_, h.symm⟩⟩
lemma conj_eq_iff_im {z : ℂ} : conj z = z ↔ z.im = 0 :=
⟨λ h, add_self_eq_zero.mp (neg_eq_iff_add_eq_zero.mp (congr_arg im h)),
λ h, ext rfl (neg_eq_iff_add_eq_zero.mpr (add_self_eq_zero.mpr h))⟩
-- `simp_nf` complains about this being provable by `is_R_or_C.star_def` even
-- though it's not imported by this file.
@[simp, nolint simp_nf] lemma star_def : (has_star.star : ℂ → ℂ) = conj := rfl
/-! ### Norm squared -/
/-- The norm squared function. -/
@[pp_nodot] def norm_sq : ℂ →*₀ ℝ :=
{ to_fun := λ z, z.re * z.re + z.im * z.im,
map_zero' := by simp,
map_one' := by simp,
map_mul' := λ z w, by { dsimp, ring } }
lemma norm_sq_apply (z : ℂ) : norm_sq z = z.re * z.re + z.im * z.im := rfl
@[simp] lemma norm_sq_of_real (r : ℝ) : norm_sq r = r * r :=
by simp [norm_sq]
@[simp] lemma norm_sq_mk (x y : ℝ) : norm_sq ⟨x, y⟩ = x * x + y * y := rfl
lemma norm_sq_add_mul_I (x y : ℝ) : norm_sq (x + y * I) = x ^ 2 + y ^ 2 :=
by rw [← mk_eq_add_mul_I, norm_sq_mk, sq, sq]
lemma norm_sq_eq_conj_mul_self {z : ℂ} : (norm_sq z : ℂ) = conj z * z :=
by { ext; simp [norm_sq, mul_comm], }
@[simp] lemma norm_sq_zero : norm_sq 0 = 0 := norm_sq.map_zero
@[simp] lemma norm_sq_one : norm_sq 1 = 1 := norm_sq.map_one
@[simp] lemma norm_sq_I : norm_sq I = 1 := by simp [norm_sq]
lemma norm_sq_nonneg (z : ℂ) : 0 ≤ norm_sq z :=
add_nonneg (mul_self_nonneg _) (mul_self_nonneg _)
@[simp] lemma range_norm_sq : range norm_sq = Ici 0 :=
subset.antisymm (range_subset_iff.2 norm_sq_nonneg) $ λ x hx,
⟨real.sqrt x, by rw [norm_sq_of_real, real.mul_self_sqrt hx]⟩
lemma norm_sq_eq_zero {z : ℂ} : norm_sq z = 0 ↔ z = 0 :=
⟨λ h, ext
(eq_zero_of_mul_self_add_mul_self_eq_zero h)
(eq_zero_of_mul_self_add_mul_self_eq_zero $ (add_comm _ _).trans h),
λ h, h.symm ▸ norm_sq_zero⟩
@[simp] lemma norm_sq_pos {z : ℂ} : 0 < norm_sq z ↔ z ≠ 0 :=
(norm_sq_nonneg z).lt_iff_ne.trans $ not_congr (eq_comm.trans norm_sq_eq_zero)
@[simp] lemma norm_sq_neg (z : ℂ) : norm_sq (-z) = norm_sq z :=
by simp [norm_sq]
@[simp] lemma norm_sq_conj (z : ℂ) : norm_sq (conj z) = norm_sq z :=
by simp [norm_sq]
lemma norm_sq_mul (z w : ℂ) : norm_sq (z * w) = norm_sq z * norm_sq w :=
norm_sq.map_mul z w
lemma norm_sq_add (z w : ℂ) : norm_sq (z + w) =
norm_sq z + norm_sq w + 2 * (z * conj w).re :=
by dsimp [norm_sq]; ring
lemma re_sq_le_norm_sq (z : ℂ) : z.re * z.re ≤ norm_sq z :=
le_add_of_nonneg_right (mul_self_nonneg _)
lemma im_sq_le_norm_sq (z : ℂ) : z.im * z.im ≤ norm_sq z :=
le_add_of_nonneg_left (mul_self_nonneg _)
theorem mul_conj (z : ℂ) : z * conj z = norm_sq z :=
ext_iff.2 $ by simp [norm_sq, mul_comm, sub_eq_neg_add, add_comm]
theorem add_conj (z : ℂ) : z + conj z = (2 * z.re : ℝ) :=
ext_iff.2 $ by simp [two_mul]
/-- The coercion `ℝ → ℂ` as a `ring_hom`. -/
def of_real : ℝ →+* ℂ := ⟨coe, of_real_one, of_real_mul, of_real_zero, of_real_add⟩
@[simp] lemma of_real_eq_coe (r : ℝ) : of_real r = r := rfl
@[simp] lemma I_sq : I ^ 2 = -1 := by rw [sq, I_mul_I]
@[simp] lemma sub_re (z w : ℂ) : (z - w).re = z.re - w.re := rfl
@[simp] lemma sub_im (z w : ℂ) : (z - w).im = z.im - w.im := rfl
@[simp, norm_cast] lemma of_real_sub (r s : ℝ) : ((r - s : ℝ) : ℂ) = r - s := ext_iff.2 $ by simp
@[simp, norm_cast] lemma of_real_pow (r : ℝ) (n : ℕ) : ((r ^ n : ℝ) : ℂ) = r ^ n :=
by induction n; simp [*, of_real_mul, pow_succ]
theorem sub_conj (z : ℂ) : z - conj z = (2 * z.im : ℝ) * I :=
ext_iff.2 $ by simp [two_mul, sub_eq_add_neg]
lemma norm_sq_sub (z w : ℂ) : norm_sq (z - w) =
norm_sq z + norm_sq w - 2 * (z * conj w).re :=
by { rw [sub_eq_add_neg, norm_sq_add],
simp only [ring_hom.map_neg, mul_neg, neg_re,
tactic.ring.add_neg_eq_sub, norm_sq_neg] }
/-! ### Inversion -/
noncomputable instance : has_inv ℂ := ⟨λ z, conj z * ((norm_sq z)⁻¹:ℝ)⟩
theorem inv_def (z : ℂ) : z⁻¹ = conj z * ((norm_sq z)⁻¹:ℝ) := rfl
@[simp] lemma inv_re (z : ℂ) : (z⁻¹).re = z.re / norm_sq z := by simp [inv_def, division_def]
@[simp] lemma inv_im (z : ℂ) : (z⁻¹).im = -z.im / norm_sq z := by simp [inv_def, division_def]
@[simp, norm_cast] lemma of_real_inv (r : ℝ) : ((r⁻¹ : ℝ) : ℂ) = r⁻¹ :=
ext_iff.2 $ by simp
protected lemma inv_zero : (0⁻¹ : ℂ) = 0 :=
by rw [← of_real_zero, ← of_real_inv, inv_zero]
protected theorem mul_inv_cancel {z : ℂ} (h : z ≠ 0) : z * z⁻¹ = 1 :=
by rw [inv_def, ← mul_assoc, mul_conj, ← of_real_mul,
mul_inv_cancel (mt norm_sq_eq_zero.1 h), of_real_one]
/-! ### Field instance and lemmas -/
noncomputable instance : field ℂ :=
{ inv := has_inv.inv,
mul_inv_cancel := @complex.mul_inv_cancel,
inv_zero := complex.inv_zero,
..complex.comm_ring, ..complex.nontrivial }
@[simp] lemma I_zpow_bit0 (n : ℤ) : I ^ (bit0 n) = (-1) ^ n :=
by rw [zpow_bit0', I_mul_I]
@[simp] lemma I_zpow_bit1 (n : ℤ) : I ^ (bit1 n) = (-1) ^ n * I :=
by rw [zpow_bit1', I_mul_I]
lemma div_re (z w : ℂ) : (z / w).re = z.re * w.re / norm_sq w + z.im * w.im / norm_sq w :=
by simp [div_eq_mul_inv, mul_assoc, sub_eq_add_neg]
lemma div_im (z w : ℂ) : (z / w).im = z.im * w.re / norm_sq w - z.re * w.im / norm_sq w :=
by simp [div_eq_mul_inv, mul_assoc, sub_eq_add_neg, add_comm]
lemma conj_inv (x : ℂ) : conj (x⁻¹) = (conj x)⁻¹ := star_inv' _
@[simp, norm_cast] lemma of_real_div (r s : ℝ) : ((r / s : ℝ) : ℂ) = r / s :=
map_div₀ of_real r s
@[simp, norm_cast] lemma of_real_zpow (r : ℝ) (n : ℤ) : ((r ^ n : ℝ) : ℂ) = (r : ℂ) ^ n :=
map_zpow₀ of_real r n
@[simp] lemma div_I (z : ℂ) : z / I = -(z * I) :=
(div_eq_iff_mul_eq I_ne_zero).2 $ by simp [mul_assoc]
@[simp] lemma inv_I : I⁻¹ = -I :=
by simp [inv_eq_one_div]
@[simp] lemma norm_sq_inv (z : ℂ) : norm_sq z⁻¹ = (norm_sq z)⁻¹ :=
map_inv₀ norm_sq z
@[simp] lemma norm_sq_div (z w : ℂ) : norm_sq (z / w) = norm_sq z / norm_sq w :=
map_div₀ norm_sq z w
/-! ### Cast lemmas -/
@[simp, norm_cast] theorem of_real_nat_cast (n : ℕ) : ((n : ℝ) : ℂ) = n :=
map_nat_cast of_real n
@[simp, norm_cast] lemma nat_cast_re (n : ℕ) : (n : ℂ).re = n :=
by rw [← of_real_nat_cast, of_real_re]
@[simp, norm_cast] lemma nat_cast_im (n : ℕ) : (n : ℂ).im = 0 :=
by rw [← of_real_nat_cast, of_real_im]
@[simp, norm_cast] theorem of_real_int_cast (n : ℤ) : ((n : ℝ) : ℂ) = n := map_int_cast of_real n
@[simp, norm_cast] lemma int_cast_re (n : ℤ) : (n : ℂ).re = n :=
by rw [← of_real_int_cast, of_real_re]
@[simp, norm_cast] lemma int_cast_im (n : ℤ) : (n : ℂ).im = 0 :=
by rw [← of_real_int_cast, of_real_im]
@[simp, norm_cast] theorem of_real_rat_cast (n : ℚ) : ((n : ℝ) : ℂ) = n := map_rat_cast of_real n
@[simp, norm_cast] lemma rat_cast_re (q : ℚ) : (q : ℂ).re = q :=
by rw [← of_real_rat_cast, of_real_re]
@[simp, norm_cast] lemma rat_cast_im (q : ℚ) : (q : ℂ).im = 0 :=
by rw [← of_real_rat_cast, of_real_im]
/-! ### Characteristic zero -/
instance char_zero_complex : char_zero ℂ :=
char_zero_of_inj_zero $ λ n h,
by rwa [← of_real_nat_cast, of_real_eq_zero, nat.cast_eq_zero] at h
/-- A complex number `z` plus its conjugate `conj z` is `2` times its real part. -/
theorem re_eq_add_conj (z : ℂ) : (z.re : ℂ) = (z + conj z) / 2 :=
by simp only [add_conj, of_real_mul, of_real_one, of_real_bit0,
mul_div_cancel_left (z.re:ℂ) two_ne_zero]
/-- A complex number `z` minus its conjugate `conj z` is `2i` times its imaginary part. -/
theorem im_eq_sub_conj (z : ℂ) : (z.im : ℂ) = (z - conj(z))/(2 * I) :=
by simp only [sub_conj, of_real_mul, of_real_one, of_real_bit0, mul_right_comm,
mul_div_cancel_left _ (mul_ne_zero two_ne_zero I_ne_zero : 2 * I ≠ 0)]
/-! ### Absolute value -/
namespace abs_theory
-- We develop enough theory to bundle `abs` into an `absolute_value` before making things public;
-- this is so there's not two versions of it hanging around.
local notation (name := abs) `abs` z := ((norm_sq z).sqrt)
private lemma mul_self_abs (z : ℂ) : (abs z) * (abs z) = norm_sq z :=
real.mul_self_sqrt (norm_sq_nonneg _)
private lemma abs_nonneg' (z : ℂ) : 0 ≤ abs z :=
real.sqrt_nonneg _
lemma abs_conj (z : ℂ) : (abs (conj z)) = abs z :=
by simp
private lemma abs_re_le_abs (z : ℂ) : |z.re| ≤ abs z :=
begin
rw [mul_self_le_mul_self_iff (abs_nonneg z.re) (abs_nonneg' _),
abs_mul_abs_self, mul_self_abs],
apply re_sq_le_norm_sq
end
private lemma re_le_abs (z : ℂ) : z.re ≤ abs z :=
(abs_le.1 (abs_re_le_abs _)).2
private lemma abs_mul (z w : ℂ) : (abs (z * w)) = (abs z) * abs w :=
by rw [norm_sq_mul, real.sqrt_mul (norm_sq_nonneg _)]
private lemma abs_add (z w : ℂ) : (abs (z + w)) ≤ (abs z) + abs w :=
(mul_self_le_mul_self_iff (abs_nonneg' (z + w))
(add_nonneg (abs_nonneg' z) (abs_nonneg' w))).2 $
begin
rw [mul_self_abs, add_mul_self_eq, mul_self_abs, mul_self_abs, add_right_comm, norm_sq_add,
add_le_add_iff_left, mul_assoc, mul_le_mul_left (zero_lt_two' ℝ),
←real.sqrt_mul $ norm_sq_nonneg z, ←norm_sq_conj w, ←map_mul],
exact re_le_abs (z * conj w)
end
/-- The complex absolute value function, defined as the square root of the norm squared. -/
noncomputable def _root_.complex.abs : absolute_value ℂ ℝ :=
{ to_fun := λ x, abs x,
map_mul' := abs_mul,
nonneg' := abs_nonneg',
eq_zero' := λ _, (real.sqrt_eq_zero $ norm_sq_nonneg _).trans norm_sq_eq_zero,
add_le' := abs_add }
end abs_theory
lemma abs_def : (abs : ℂ → ℝ) = λ z, (norm_sq z).sqrt := rfl
lemma abs_apply {z : ℂ} : abs z = (norm_sq z).sqrt := rfl
@[simp, norm_cast] lemma abs_of_real (r : ℝ) : abs r = |r| :=
by simp [abs, norm_sq_of_real, real.sqrt_mul_self_eq_abs]
lemma abs_of_nonneg {r : ℝ} (h : 0 ≤ r) : abs r = r :=
(abs_of_real _).trans (abs_of_nonneg h)
lemma abs_of_nat (n : ℕ) : complex.abs n = n :=
calc complex.abs n = complex.abs (n:ℝ) : by rw [of_real_nat_cast]
... = _ : abs_of_nonneg (nat.cast_nonneg n)
lemma mul_self_abs (z : ℂ) : abs z * abs z = norm_sq z :=
real.mul_self_sqrt (norm_sq_nonneg _)
lemma sq_abs (z : ℂ) : abs z ^ 2 = norm_sq z :=
real.sq_sqrt (norm_sq_nonneg _)
@[simp] lemma sq_abs_sub_sq_re (z : ℂ) : abs z ^ 2 - z.re ^ 2 = z.im ^ 2 :=
by rw [sq_abs, norm_sq_apply, ← sq, ← sq, add_sub_cancel']
@[simp] lemma sq_abs_sub_sq_im (z : ℂ) : abs z ^ 2 - z.im ^ 2 = z.re ^ 2 :=
by rw [← sq_abs_sub_sq_re, sub_sub_cancel]
@[simp] lemma abs_I : abs I = 1 := by simp [abs]
@[simp] lemma abs_two : abs 2 = 2 :=
calc abs 2 = abs (2 : ℝ) : by rw [of_real_bit0, of_real_one]
... = (2 : ℝ) : abs_of_nonneg (by norm_num)
@[simp] lemma range_abs : range abs = Ici 0 :=
subset.antisymm (range_subset_iff.2 abs.nonneg) $ λ x hx, ⟨x, abs_of_nonneg hx⟩
@[simp] lemma abs_conj (z : ℂ) : abs (conj z) = abs z := abs_theory.abs_conj z
@[simp] lemma abs_prod {ι : Type*} (s : finset ι) (f : ι → ℂ) :
abs (s.prod f) = s.prod (λ i, abs (f i)) :=
map_prod abs _ _
@[simp] lemma abs_pow (z : ℂ) (n : ℕ) : abs (z ^ n) = abs z ^ n :=
map_pow abs z n
@[simp] lemma abs_zpow (z : ℂ) (n : ℤ) : abs (z ^ n) = abs z ^ n :=
map_zpow₀ abs z n
lemma abs_re_le_abs (z : ℂ) : |z.re| ≤ abs z :=
real.abs_le_sqrt $ by { rw [norm_sq_apply, ← sq], exact le_add_of_nonneg_right (mul_self_nonneg _) }
lemma abs_im_le_abs (z : ℂ) : |z.im| ≤ abs z :=
real.abs_le_sqrt $ by { rw [norm_sq_apply, ← sq, ← sq], exact le_add_of_nonneg_left (sq_nonneg _) }
lemma re_le_abs (z : ℂ) : z.re ≤ abs z :=
(abs_le.1 (abs_re_le_abs _)).2
lemma im_le_abs (z : ℂ) : z.im ≤ abs z :=
(abs_le.1 (abs_im_le_abs _)).2
@[simp] lemma abs_re_lt_abs {z : ℂ} : |z.re| < abs z ↔ z.im ≠ 0 :=
by rw [abs, absolute_value.coe_mk, mul_hom.coe_mk, real.lt_sqrt (abs_nonneg _), norm_sq_apply,
_root_.sq_abs, ← sq, lt_add_iff_pos_right, mul_self_pos]
@[simp] lemma abs_im_lt_abs {z : ℂ} : |z.im| < abs z ↔ z.re ≠ 0 :=
by simpa using @abs_re_lt_abs (z * I)
@[simp] lemma abs_abs (z : ℂ) : |(abs z)| = abs z :=
_root_.abs_of_nonneg (abs.nonneg _)
lemma abs_le_abs_re_add_abs_im (z : ℂ) : abs z ≤ |z.re| + |z.im| :=
by simpa [re_add_im] using abs.add_le z.re (z.im * I)
lemma abs_le_sqrt_two_mul_max (z : ℂ) : abs z ≤ real.sqrt 2 * max (|z.re|) (|z.im|) :=
begin
cases z with x y,
simp only [abs_apply, norm_sq_mk, ← sq],
wlog hle : |x| ≤ |y|,
{ rw [add_comm, max_comm], exact this _ _ (le_of_not_le hle), },
calc real.sqrt (x ^ 2 + y ^ 2) ≤ real.sqrt (y ^ 2 + y ^ 2) :
real.sqrt_le_sqrt (add_le_add_right (sq_le_sq.2 hle) _)
... = real.sqrt 2 * max (|x|) (|y|) :
by rw [max_eq_right hle, ← two_mul, real.sqrt_mul two_pos.le, real.sqrt_sq_eq_abs],
end
lemma abs_re_div_abs_le_one (z : ℂ) : |z.re / z.abs| ≤ 1 :=
if hz : z = 0 then by simp [hz, zero_le_one]
else by { simp_rw [_root_.abs_div, abs_abs, div_le_iff (abs.pos hz), one_mul, abs_re_le_abs] }
lemma abs_im_div_abs_le_one (z : ℂ) : |z.im / z.abs| ≤ 1 :=
if hz : z = 0 then by simp [hz, zero_le_one]
else by { simp_rw [_root_.abs_div, abs_abs, div_le_iff (abs.pos hz), one_mul, abs_im_le_abs] }
@[simp, norm_cast] lemma abs_cast_nat (n : ℕ) : abs (n : ℂ) = n :=
by rw [← of_real_nat_cast, abs_of_nonneg (nat.cast_nonneg n)]
@[simp, norm_cast] lemma int_cast_abs (n : ℤ) : ↑|n| = abs n :=
by rw [← of_real_int_cast, abs_of_real, int.cast_abs]
lemma norm_sq_eq_abs (x : ℂ) : norm_sq x = abs x ^ 2 :=
by simp [abs, sq, real.mul_self_sqrt (norm_sq_nonneg _)]
/--
We put a partial order on ℂ so that `z ≤ w` exactly if `w - z` is real and nonnegative.
Complex numbers with different imaginary parts are incomparable.
-/
protected def partial_order : partial_order ℂ :=
{ le := λ z w, z.re ≤ w.re ∧ z.im = w.im,
lt := λ z w, z.re < w.re ∧ z.im = w.im,
lt_iff_le_not_le := λ z w, by { dsimp, rw lt_iff_le_not_le, tauto },
le_refl := λ x, ⟨le_rfl, rfl⟩,
le_trans := λ x y z h₁ h₂, ⟨h₁.1.trans h₂.1, h₁.2.trans h₂.2⟩,
le_antisymm := λ z w h₁ h₂, ext (h₁.1.antisymm h₂.1) h₁.2 }
section complex_order
localized "attribute [instance] complex.partial_order" in complex_order
lemma le_def {z w : ℂ} : z ≤ w ↔ z.re ≤ w.re ∧ z.im = w.im := iff.rfl
lemma lt_def {z w : ℂ} : z < w ↔ z.re < w.re ∧ z.im = w.im := iff.rfl
@[simp, norm_cast] lemma real_le_real {x y : ℝ} : (x : ℂ) ≤ (y : ℂ) ↔ x ≤ y := by simp [le_def]
@[simp, norm_cast] lemma real_lt_real {x y : ℝ} : (x : ℂ) < (y : ℂ) ↔ x < y := by simp [lt_def]
@[simp, norm_cast] lemma zero_le_real {x : ℝ} : (0 : ℂ) ≤ (x : ℂ) ↔ 0 ≤ x := real_le_real
@[simp, norm_cast] lemma zero_lt_real {x : ℝ} : (0 : ℂ) < (x : ℂ) ↔ 0 < x := real_lt_real
lemma not_le_iff {z w : ℂ} : ¬(z ≤ w) ↔ w.re < z.re ∨ z.im ≠ w.im :=
by rw [le_def, not_and_distrib, not_le]
lemma not_lt_iff {z w : ℂ} : ¬(z < w) ↔ w.re ≤ z.re ∨ z.im ≠ w.im :=
by rw [lt_def, not_and_distrib, not_lt]
lemma not_le_zero_iff {z : ℂ} : ¬z ≤ 0 ↔ 0 < z.re ∨ z.im ≠ 0 := not_le_iff
lemma not_lt_zero_iff {z : ℂ} : ¬z < 0 ↔ 0 ≤ z.re ∨ z.im ≠ 0 := not_lt_iff
lemma eq_re_of_real_le {r : ℝ} {z : ℂ} (hz : (r : ℂ) ≤ z) : z = z.re :=
by { ext, refl, simp only [←(complex.le_def.1 hz).2, complex.zero_im, complex.of_real_im] }
/--
With `z ≤ w` iff `w - z` is real and nonnegative, `ℂ` is a strictly ordered ring.
-/
protected def strict_ordered_comm_ring : strict_ordered_comm_ring ℂ :=
{ zero_le_one := ⟨zero_le_one, rfl⟩,
add_le_add_left := λ w z h y, ⟨add_le_add_left h.1 _, congr_arg2 (+) rfl h.2⟩,
mul_pos := λ z w hz hw,
by simp [lt_def, mul_re, mul_im, ← hz.2, ← hw.2, mul_pos hz.1 hw.1],
..complex.partial_order, ..complex.comm_ring, ..complex.nontrivial }
localized "attribute [instance] complex.strict_ordered_comm_ring" in complex_order
/--
With `z ≤ w` iff `w - z` is real and nonnegative, `ℂ` is a star ordered ring.
(That is, a star ring in which the nonnegative elements are those of the form `star z * z`.)
-/
protected def star_ordered_ring : star_ordered_ring ℂ :=
{ nonneg_iff := λ r, by
{ refine ⟨λ hr, ⟨real.sqrt r.re, _⟩, λ h, _⟩,
{ have h₁ : 0 ≤ r.re := by { rw [le_def] at hr, exact hr.1 },
have h₂ : r.im = 0 := by { rw [le_def] at hr, exact hr.2.symm },
ext,
{ simp only [of_real_im, star_def, of_real_re, sub_zero, conj_re, mul_re, mul_zero,
←real.sqrt_mul h₁ r.re, real.sqrt_mul_self h₁] },
{ simp only [h₂, add_zero, of_real_im, star_def, zero_mul, conj_im,
mul_im, mul_zero, neg_zero] } },
{ obtain ⟨s, rfl⟩ := h,
simp only [←norm_sq_eq_conj_mul_self, norm_sq_nonneg, zero_le_real, star_def] } },
..complex.strict_ordered_comm_ring }
localized "attribute [instance] complex.star_ordered_ring" in complex_order
end complex_order
/-! ### Cauchy sequences -/
local notation `abs'` := has_abs.abs
theorem is_cau_seq_re (f : cau_seq ℂ abs) : is_cau_seq abs' (λ n, (f n).re) :=
λ ε ε0, (f.cauchy ε0).imp $ λ i H j ij,
lt_of_le_of_lt (by simpa using abs_re_le_abs (f j - f i)) (H _ ij)
theorem is_cau_seq_im (f : cau_seq ℂ abs) : is_cau_seq abs' (λ n, (f n).im) :=
λ ε ε0, (f.cauchy ε0).imp $ λ i H j ij,
lt_of_le_of_lt (by simpa using abs_im_le_abs (f j - f i)) (H _ ij)
/-- The real part of a complex Cauchy sequence, as a real Cauchy sequence. -/
noncomputable def cau_seq_re (f : cau_seq ℂ abs) : cau_seq ℝ abs' :=
⟨_, is_cau_seq_re f⟩
/-- The imaginary part of a complex Cauchy sequence, as a real Cauchy sequence. -/
noncomputable def cau_seq_im (f : cau_seq ℂ abs) : cau_seq ℝ abs' :=
⟨_, is_cau_seq_im f⟩
lemma is_cau_seq_abs {f : ℕ → ℂ} (hf : is_cau_seq abs f) :
is_cau_seq abs' (abs ∘ f) :=
λ ε ε0, let ⟨i, hi⟩ := hf ε ε0 in
⟨i, λ j hj, lt_of_le_of_lt (abs.abs_abv_sub_le_abv_sub _ _) (hi j hj)⟩
/-- The limit of a Cauchy sequence of complex numbers. -/
noncomputable def lim_aux (f : cau_seq ℂ abs) : ℂ :=
⟨cau_seq.lim (cau_seq_re f), cau_seq.lim (cau_seq_im f)⟩
theorem equiv_lim_aux (f : cau_seq ℂ abs) : f ≈ cau_seq.const abs (lim_aux f) :=
λ ε ε0, (exists_forall_ge_and
(cau_seq.equiv_lim ⟨_, is_cau_seq_re f⟩ _ (half_pos ε0))
(cau_seq.equiv_lim ⟨_, is_cau_seq_im f⟩ _ (half_pos ε0))).imp $
λ i H j ij, begin
cases H _ ij with H₁ H₂,
apply lt_of_le_of_lt (abs_le_abs_re_add_abs_im _),
dsimp [lim_aux] at *,
have := add_lt_add H₁ H₂,
rwa add_halves at this,
end
instance : cau_seq.is_complete ℂ abs :=
⟨λ f, ⟨lim_aux f, equiv_lim_aux f⟩⟩
open cau_seq
lemma lim_eq_lim_im_add_lim_re (f : cau_seq ℂ abs) : lim f =
↑(lim (cau_seq_re f)) + ↑(lim (cau_seq_im f)) * I :=
lim_eq_of_equiv_const $
calc f ≈ _ : equiv_lim_aux f
... = cau_seq.const abs (↑(lim (cau_seq_re f)) + ↑(lim (cau_seq_im f)) * I) :
cau_seq.ext (λ _, complex.ext (by simp [lim_aux, cau_seq_re]) (by simp [lim_aux, cau_seq_im]))
lemma lim_re (f : cau_seq ℂ abs) : lim (cau_seq_re f) = (lim f).re :=
by rw [lim_eq_lim_im_add_lim_re]; simp
lemma lim_im (f : cau_seq ℂ abs) : lim (cau_seq_im f) = (lim f).im :=
by rw [lim_eq_lim_im_add_lim_re]; simp
lemma is_cau_seq_conj (f : cau_seq ℂ abs) : is_cau_seq abs (λ n, conj (f n)) :=
λ ε ε0, let ⟨i, hi⟩ := f.2 ε ε0 in
⟨i, λ j hj, by rw [← ring_hom.map_sub, abs_conj]; exact hi j hj⟩
/-- The complex conjugate of a complex Cauchy sequence, as a complex Cauchy sequence. -/
noncomputable def cau_seq_conj (f : cau_seq ℂ abs) : cau_seq ℂ abs :=
⟨_, is_cau_seq_conj f⟩
lemma lim_conj (f : cau_seq ℂ abs) : lim (cau_seq_conj f) = conj (lim f) :=
complex.ext (by simp [cau_seq_conj, (lim_re _).symm, cau_seq_re])
(by simp [cau_seq_conj, (lim_im _).symm, cau_seq_im, (lim_neg _).symm]; refl)
/-- The absolute value of a complex Cauchy sequence, as a real Cauchy sequence. -/
noncomputable def cau_seq_abs (f : cau_seq ℂ abs) : cau_seq ℝ abs' :=
⟨_, is_cau_seq_abs f.2⟩
lemma lim_abs (f : cau_seq ℂ abs) : lim (cau_seq_abs f) = abs (lim f) :=
lim_eq_of_equiv_const (λ ε ε0,
let ⟨i, hi⟩ := equiv_lim f ε ε0 in
⟨i, λ j hj, lt_of_le_of_lt (abs.abs_abv_sub_le_abv_sub _ _) (hi j hj)⟩)
variables {α : Type*} (s : finset α)
@[simp, norm_cast] lemma of_real_prod (f : α → ℝ) :
((∏ i in s, f i : ℝ) : ℂ) = ∏ i in s, (f i : ℂ) :=
ring_hom.map_prod of_real _ _
@[simp, norm_cast] lemma of_real_sum (f : α → ℝ) :
((∑ i in s, f i : ℝ) : ℂ) = ∑ i in s, (f i : ℂ) :=
ring_hom.map_sum of_real _ _
@[simp] lemma re_sum (f : α → ℂ) : (∑ i in s, f i).re = ∑ i in s, (f i).re :=
re_add_group_hom.map_sum f s
@[simp] lemma im_sum (f : α → ℂ) : (∑ i in s, f i).im = ∑ i in s, (f i).im :=
im_add_group_hom.map_sum f s
end complex
|
ef5b1473a461d100985cf13888b46fdeaf061aa8 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/measure_theory/covering/vitali.lean | 00af34b0a68e17e1fdc4e8d822a2fbc66e196748 | [
"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 | 26,058 | lean | /-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import topology.metric_space.basic
import measure_theory.constructions.borel_space.basic
import measure_theory.covering.vitali_family
/-!
# Vitali covering theorems
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
The topological Vitali covering theorem, in its most classical version, states the following.
Consider a family of balls `(B (x_i, r_i))_{i ∈ I}` in a metric space, with uniformly bounded
radii. Then one can extract a disjoint subfamily indexed by `J ⊆ I`, such that any `B (x_i, r_i)`
is included in a ball `B (x_j, 5 r_j)`.
We prove this theorem in `vitali.exists_disjoint_subfamily_covering_enlargment_closed_ball`.
It is deduced from a more general version, called
`vitali.exists_disjoint_subfamily_covering_enlargment`, which applies to any family of sets
together with a size function `δ` (think "radius" or "diameter").
We deduce the measurable Vitali covering theorem. Assume one is given a family `t` of closed sets
with nonempty interior, such that each `a ∈ t` is included in a ball `B (x, r)` and covers a
definite proportion of the ball `B (x, 6 r)` for a given measure `μ` (think of the situation
where `μ` is a doubling measure and `t` is a family of balls). Consider a set `s` at which the
family is fine, i.e., every point of `s` belongs to arbitrarily small elements of `t`. Then one
can extract from `t` a disjoint subfamily that covers almost all `s`. It is proved in
`vitali.exists_disjoint_covering_ae`.
A way to restate this theorem is to say that the set of closed sets `a` with nonempty interior
covering a fixed proportion `1/C` of the ball `closed_ball x (3 * diam a)` forms a Vitali family.
This version is given in `vitali.vitali_family`.
-/
variables {α ι : Type*}
open set metric measure_theory topological_space filter
open_locale nnreal classical ennreal topology
namespace vitali
/-- Vitali covering theorem: given a set `t` of subsets of a type, one may extract a disjoint
subfamily `u` such that the `τ`-enlargment of this family covers all elements of `t`, where `τ > 1`
is any fixed number.
When `t` is a family of balls, the `τ`-enlargment of `ball x r` is `ball x ((1+2τ) r)`. In general,
it is expressed in terms of a function `δ` (think "radius" or "diameter"), positive and bounded on
all elements of `t`. The condition is that every element `a` of `t` should intersect an
element `b` of `u` of size larger than that of `a` up to `τ`, i.e., `δ b ≥ δ a / τ`.
We state the lemma slightly more generally, with an indexed family of sets `B a` for `a ∈ t`, for
wider applicability.
-/
theorem exists_disjoint_subfamily_covering_enlargment
(B : ι → set α) (t : set ι) (δ : ι → ℝ) (τ : ℝ) (hτ : 1 < τ) (δnonneg : ∀ a ∈ t, 0 ≤ δ a)
(R : ℝ) (δle : ∀ a ∈ t, δ a ≤ R) (hne : ∀ a ∈ t, (B a).nonempty) :
∃ u ⊆ t, u.pairwise_disjoint B ∧
∀ a ∈ t, ∃ b ∈ u, (B a ∩ B b).nonempty ∧ δ a ≤ τ * δ b :=
begin
/- The proof could be formulated as a transfinite induction. First pick an element of `t` with `δ`
as large as possible (up to a factor of `τ`). Then among the remaining elements not intersecting
the already chosen one, pick another element with large `δ`. Go on forever (transfinitely) until
there is nothing left.
Instead, we give a direct Zorn-based argument. Consider a maximal family `u` of disjoint sets
with the following property: if an element `a` of `t` intersects some element `b` of `u`, then it
intersects some `b' ∈ u` with `δ b' ≥ δ a / τ`. Such a maximal family exists by Zorn. If this
family did not intersect some element `a ∈ t`, then take an element `a' ∈ t` which does not
intersect any element of `u`, with `δ a'` almost as large as possible. One checks easily
that `u ∪ {a'}` still has this property, contradicting the maximality. Therefore, `u`
intersects all elements of `t`, and by definition it satisfies all the desired properties.
-/
let T : set (set ι) := {u | u ⊆ t ∧ u.pairwise_disjoint B
∧ ∀ a ∈ t, ∀ b ∈ u, (B a ∩ B b).nonempty → ∃ c ∈ u, (B a ∩ B c).nonempty ∧ δ a ≤ τ * δ c},
-- By Zorn, choose a maximal family in the good set `T` of disjoint families.
obtain ⟨u, uT, hu⟩ : ∃ u ∈ T, ∀ v ∈ T, u ⊆ v → v = u,
{ refine zorn_subset _ (λ U UT hU, _),
refine ⟨⋃₀ U, _, λ s hs, subset_sUnion_of_mem hs⟩,
simp only [set.sUnion_subset_iff, and_imp, exists_prop, forall_exists_index, mem_sUnion,
set.mem_set_of_eq],
refine ⟨λ u hu, (UT hu).1, (pairwise_disjoint_sUnion hU.directed_on).2 (λ u hu, (UT hu).2.1),
λ a hat b u uU hbu hab, _⟩,
obtain ⟨c, cu, ac, hc⟩ : ∃ (c : ι) (H : c ∈ u), (B a ∩ B c).nonempty ∧ δ a ≤ τ * δ c :=
(UT uU).2.2 a hat b hbu hab,
exact ⟨c, ⟨u, uU, cu⟩, ac, hc⟩ },
-- the only nontrivial bit is to check that every `a ∈ t` intersects an element `b ∈ u` with
-- comparatively large `δ b`. Assume this is not the case, then we will contradict the maximality.
refine ⟨u, uT.1, uT.2.1, λ a hat, _⟩,
contrapose! hu,
have a_disj : ∀ c ∈ u, disjoint (B a) (B c),
{ assume c hc,
by_contra,
rw not_disjoint_iff_nonempty_inter at h,
obtain ⟨d, du, ad, hd⟩ : ∃ (d : ι) (H : d ∈ u), (B a ∩ B d).nonempty ∧ δ a ≤ τ * δ d :=
uT.2.2 a hat c hc h,
exact lt_irrefl _ ((hu d du ad).trans_le hd) },
-- Let `A` be all the elements of `t` which do not intersect the family `u`. It is nonempty as it
-- contains `a`. We will pick an element `a'` of `A` with `δ a'` almost as large as possible.
let A := {a' | a' ∈ t ∧ ∀ c ∈ u, disjoint (B a') (B c)},
have Anonempty : A.nonempty := ⟨a, hat, a_disj⟩,
let m := Sup (δ '' A),
have bddA : bdd_above (δ '' A),
{ refine ⟨R, λ x xA, _⟩,
rcases (mem_image _ _ _).1 xA with ⟨a', ha', rfl⟩,
exact δle a' ha'.1 },
obtain ⟨a', a'A, ha'⟩ : ∃ a' ∈ A, m / τ ≤ δ a',
{ have : 0 ≤ m := (δnonneg a hat).trans (le_cSup bddA (mem_image_of_mem _ ⟨hat, a_disj⟩)),
rcases eq_or_lt_of_le this with mzero|mpos,
{ refine ⟨a, ⟨hat, a_disj⟩, _⟩,
simpa only [← mzero, zero_div] using δnonneg a hat },
{ have I : m / τ < m,
{ rw div_lt_iff (zero_lt_one.trans hτ),
conv_lhs { rw ← mul_one m },
exact (mul_lt_mul_left mpos).2 hτ },
rcases exists_lt_of_lt_cSup (nonempty_image_iff.2 Anonempty) I with ⟨x, xA, hx⟩,
rcases (mem_image _ _ _).1 xA with ⟨a', ha', rfl⟩,
exact ⟨a', ha', hx.le⟩, } },
clear hat hu a_disj a,
have a'_ne_u : a' ∉ u := λ H, (hne _ a'A.1).ne_empty (disjoint_self.1 (a'A.2 _ H)),
-- we claim that `u ∪ {a'}` still belongs to `T`, contradicting the maximality of `u`.
refine ⟨insert a' u, ⟨_, _, _⟩, subset_insert _ _, (ne_insert_of_not_mem _ a'_ne_u).symm⟩,
-- check that `u ∪ {a'}` is made of elements of `t`.
{ rw insert_subset,
exact ⟨a'A.1, uT.1⟩ },
-- check that `u ∪ {a'}` is a disjoint family. This follows from the fact that `a'` does not
-- intersect `u`.
{ exact uT.2.1.insert (λ b bu ba', a'A.2 b bu) },
-- check that every element `c` of `t` intersecting `u ∪ {a'}` intersects an element of this
-- family with large `δ`.
{ assume c ct b ba'u hcb,
-- if `c` already intersects an element of `u`, then it intersects an element of `u` with
-- large `δ` by the assumption on `u`, and there is nothing left to do.
by_cases H : ∃ d ∈ u, (B c ∩ B d).nonempty,
{ rcases H with ⟨d, du, hd⟩,
rcases uT.2.2 c ct d du hd with ⟨d', d'u, hd'⟩,
exact ⟨d', mem_insert_of_mem _ d'u, hd'⟩ },
-- otherwise, `c` belongs to `A`. The element of `u ∪ {a'}` that it intersects has to be `a'`.
-- moreover, `δ c` is smaller than the maximum `m` of `δ` over `A`, which is `≤ δ a' / τ`
-- thanks to the good choice of `a'`. This is the desired inequality.
{ push_neg at H,
simp only [← not_disjoint_iff_nonempty_inter, not_not] at H,
rcases mem_insert_iff.1 ba'u with rfl|H',
{ refine ⟨b, mem_insert _ _, hcb, _⟩,
calc δ c ≤ m : le_cSup bddA (mem_image_of_mem _ ⟨ct, H⟩)
... = τ * (m / τ) : by { field_simp [(zero_lt_one.trans hτ).ne'], ring }
... ≤ τ * δ b : mul_le_mul_of_nonneg_left ha' (zero_le_one.trans hτ.le) },
{ rw ← not_disjoint_iff_nonempty_inter at hcb,
exact (hcb (H _ H')).elim } } }
end
/-- Vitali covering theorem, closed balls version: given a family `t` of closed balls, one can
extract a disjoint subfamily `u ⊆ t` so that all balls in `t` are covered by the 5-times
dilations of balls in `u`. -/
theorem exists_disjoint_subfamily_covering_enlargment_closed_ball [metric_space α]
(t : set ι) (x : ι → α) (r : ι → ℝ) (R : ℝ) (hr : ∀ a ∈ t, r a ≤ R) :
∃ u ⊆ t, u.pairwise_disjoint (λ a, closed_ball (x a) (r a)) ∧
∀ a ∈ t, ∃ b ∈ u, closed_ball (x a) (r a) ⊆ closed_ball (x b) (5 * r b) :=
begin
rcases eq_empty_or_nonempty t with rfl|tnonempty,
{ exact ⟨∅, subset.refl _, pairwise_disjoint_empty, by simp⟩ },
by_cases ht : ∀ a ∈ t, r a < 0,
{ exact ⟨t, subset.rfl, λ a ha b hb hab,
by simp only [function.on_fun, closed_ball_eq_empty.2 (ht a ha), empty_disjoint],
λ a ha, ⟨a, ha, by simp only [closed_ball_eq_empty.2 (ht a ha), empty_subset]⟩⟩ },
push_neg at ht,
let t' := {a ∈ t | 0 ≤ r a},
rcases exists_disjoint_subfamily_covering_enlargment (λ a, closed_ball (x a) (r a)) t' r
2 one_lt_two (λ a ha, ha.2) R (λ a ha, hr a ha.1) (λ a ha, ⟨x a, mem_closed_ball_self ha.2⟩)
with ⟨u, ut', u_disj, hu⟩,
have A : ∀ a ∈ t', ∃ b ∈ u, closed_ball (x a) (r a) ⊆ closed_ball (x b) (5 * r b),
{ assume a ha,
rcases hu a ha with ⟨b, bu, hb, rb⟩,
refine ⟨b, bu, _⟩,
have : dist (x a) (x b) ≤ r a + r b :=
dist_le_add_of_nonempty_closed_ball_inter_closed_ball hb,
apply closed_ball_subset_closed_ball',
linarith },
refine ⟨u, ut'.trans (λ a ha, ha.1), u_disj, λ a ha, _⟩,
rcases le_or_lt 0 (r a) with h'a|h'a,
{ exact A a ⟨ha, h'a⟩ },
{ rcases ht with ⟨b, rb⟩,
rcases A b ⟨rb.1, rb.2⟩ with ⟨c, cu, hc⟩,
refine ⟨c, cu, by simp only [closed_ball_eq_empty.2 h'a, empty_subset]⟩ },
end
/-- The measurable Vitali covering theorem. Assume one is given a family `t` of closed sets with
nonempty interior, such that each `a ∈ t` is included in a ball `B (x, r)` and covers a definite
proportion of the ball `B (x, 3 r)` for a given measure `μ` (think of the situation where `μ` is
a doubling measure and `t` is a family of balls). Consider a (possibly non-measurable) set `s`
at which the family is fine, i.e., every point of `s` belongs to arbitrarily small elements of `t`.
Then one can extract from `t` a disjoint subfamily that covers almost all `s`.
For more flexibility, we give a statement with a parameterized family of sets.
-/
theorem exists_disjoint_covering_ae [metric_space α] [measurable_space α] [opens_measurable_space α]
[second_countable_topology α]
(μ : measure α) [is_locally_finite_measure μ] (s : set α)
(t : set ι) (C : ℝ≥0) (r : ι → ℝ) (c : ι → α) (B : ι → set α)
(hB : ∀ a ∈ t, B a ⊆ closed_ball (c a) (r a))
(μB : ∀ a ∈ t, μ (closed_ball (c a) (3 * r a)) ≤ C * μ (B a))
(ht : ∀ a ∈ t, (interior (B a)).nonempty) (h't : ∀ a ∈ t, is_closed (B a))
(hf : ∀ x ∈ s, ∀ (ε > (0 : ℝ)), ∃ a ∈ t, r a ≤ ε ∧ c a = x) :
∃ u ⊆ t, u.countable ∧ u.pairwise_disjoint B ∧ μ (s \ ⋃ a ∈ u, B a) = 0 :=
begin
/- The idea of the proof is the following. Assume for simplicity that `μ` is finite. Applying the
abstract Vitali covering theorem with `δ = r` given by `hf`, one obtains a disjoint subfamily `u`,
such that any element of `t` intersects an element of `u` with comparable radius. Fix `ε > 0`.
Since the elements of `u` have summable measure, one can remove finitely elements `w_1, ..., w_n`.
so that the measure of the remaining elements is `< ε`. Consider now a point `z` not
in the `w_i`. There is a small ball around `z` not intersecting the `w_i` (as they are closed),
an element `a ∈ t` contained in this small ball (as the family `t` is fine at `z`) and an element
`b ∈ u` intersecting `a`, with comparable radius (by definition of `u`). Then `z` belongs to the
enlargement of `b`. This shows that `s \ (w_1 ∪ ... ∪ w_n)` is contained in
`⋃ (b ∈ u \ {w_1, ... w_n}) (enlargement of b)`. The measure of the latter set is bounded by
`∑ (b ∈ u \ {w_1, ... w_n}) C * μ b` (by the doubling property of the measure), which is at most
`C ε`. Letting `ε` tend to `0` shows that `s` is almost everywhere covered by the family `u`.
For the real argument, the measure is only locally finite. Therefore, we implement the same
strategy, but locally restricted to balls on which the measure is finite. For this, we do not
use the whole family `t`, but a subfamily `t'` supported on small balls (which is possible since
the family is assumed to be fine at every point of `s`).
-/
-- choose around each `x` a small ball on which the measure is finite
have : ∀ x, ∃ R, 0 < R ∧ R ≤ 1 ∧ μ (closed_ball x (20 * R)) < ∞,
{ assume x,
obtain ⟨R, Rpos, μR⟩ : ∃ (R : ℝ) (hR : 0 < R), μ (closed_ball x R) < ∞ :=
(μ.finite_at_nhds x).exists_mem_basis nhds_basis_closed_ball,
refine ⟨min 1 (R/20), _, min_le_left _ _, _⟩,
{ simp only [true_and, lt_min_iff, zero_lt_one],
linarith },
{ apply lt_of_le_of_lt (measure_mono _) μR,
apply closed_ball_subset_closed_ball,
calc 20 * min 1 (R / 20) ≤ 20 * (R/20) :
mul_le_mul_of_nonneg_left (min_le_right _ _) (by norm_num)
... = R : by ring } },
choose R hR0 hR1 hRμ,
-- we restrict to a subfamily `t'` of `t`, made of elements small enough to ensure that
-- they only see a finite part of the measure, and with a doubling property
let t' := {a ∈ t | r a ≤ R (c a)},
-- extract a disjoint subfamily `u` of `t'` thanks to the abstract Vitali covering theorem.
obtain ⟨u, ut', u_disj, hu⟩ : ∃ u ⊆ t', u.pairwise_disjoint B ∧
∀ a ∈ t', ∃ b ∈ u, (B a ∩ B b).nonempty ∧ r a ≤ 2 * r b,
{ have A : ∀ a ∈ t', r a ≤ 1,
{ assume a ha,
apply ha.2.trans (hR1 (c a)), },
have A' : ∀ a ∈ t', (B a).nonempty :=
λ a hat', set.nonempty.mono interior_subset (ht a hat'.1),
refine exists_disjoint_subfamily_covering_enlargment B t' r 2 one_lt_two
(λ a ha, _) 1 A A',
exact nonempty_closed_ball.1 ((A' a ha).mono (hB a ha.1)) },
have ut : u ⊆ t := λ a hau, (ut' hau).1,
-- As the space is second countable, the family is countable since all its sets have nonempty
-- interior.
have u_count : u.countable := u_disj.countable_of_nonempty_interior (λ a ha, ht a (ut ha)),
-- the family `u` will be the desired family
refine ⟨u, λ a hat', (ut' hat').1, u_count, u_disj, _⟩,
-- it suffices to show that it covers almost all `s` locally around each point `x`.
refine null_of_locally_null _ (λ x hx, _),
-- let `v` be the subfamily of `u` made of those sets intersecting the small ball `ball x (r x)`
let v := {a ∈ u | (B a ∩ ball x (R x)).nonempty },
have vu : v ⊆ u := λ a ha, ha.1,
-- they are all contained in a fixed ball of finite measure, thanks to our choice of `t'`
obtain ⟨K, μK, hK⟩ : ∃ K, μ (closed_ball x K) < ∞ ∧
∀ a ∈ u, (B a ∩ ball x (R x)).nonempty → B a ⊆ closed_ball x K,
{ have Idist_v : ∀ a ∈ v, dist (c a) x ≤ r a + R x,
{ assume a hav,
apply dist_le_add_of_nonempty_closed_ball_inter_closed_ball,
refine hav.2.mono _,
apply inter_subset_inter _ ball_subset_closed_ball,
exact hB a (ut (vu hav)) },
set R0 := Sup (r '' v) with R0_def,
have R0_bdd : bdd_above (r '' v),
{ refine ⟨1, λ r' hr', _⟩,
rcases (mem_image _ _ _).1 hr' with ⟨b, hb, rfl⟩,
exact le_trans (ut' (vu hb)).2 (hR1 (c b)) },
rcases le_total R0 (R x) with H|H,
{ refine ⟨20 * R x, hRμ x, λ a au hax, _⟩,
refine (hB a (ut au)).trans _,
apply closed_ball_subset_closed_ball',
have : r a ≤ R0 := le_cSup R0_bdd (mem_image_of_mem _ ⟨au, hax⟩),
linarith [Idist_v a ⟨au, hax⟩, hR0 x] },
{ have R0pos : 0 < R0 := (hR0 x).trans_le H,
have vnonempty : v.nonempty,
{ by_contra,
rw [nonempty_iff_ne_empty, not_not] at h,
simp only [h, real.Sup_empty, image_empty] at R0_def,
exact lt_irrefl _ (R0pos.trans_le (le_of_eq R0_def)) },
obtain ⟨a, hav, R0a⟩ : ∃ a ∈ v, R0/2 < r a,
{ obtain ⟨r', r'mem, hr'⟩ : ∃ r' ∈ r '' v, R0 / 2 < r' :=
exists_lt_of_lt_cSup (nonempty_image_iff.2 vnonempty) (half_lt_self R0pos),
rcases (mem_image _ _ _).1 r'mem with ⟨a, hav, rfl⟩,
exact ⟨a, hav, hr'⟩ },
refine ⟨8 * R0, _, _⟩,
{ apply lt_of_le_of_lt (measure_mono _) (hRμ (c a)),
apply closed_ball_subset_closed_ball',
rw dist_comm,
linarith [Idist_v a hav, (ut' (vu hav)).2] },
{ assume b bu hbx,
refine (hB b (ut bu)).trans _,
apply closed_ball_subset_closed_ball',
have : r b ≤ R0 := le_cSup R0_bdd (mem_image_of_mem _ ⟨bu, hbx⟩),
linarith [Idist_v b ⟨bu, hbx⟩] } } },
-- we will show that, in `ball x (R x)`, almost all `s` is covered by the family `u`.
refine ⟨_ ∩ ball x (R x), inter_mem_nhds_within _ (ball_mem_nhds _ (hR0 _)),
nonpos_iff_eq_zero.mp (le_of_forall_le_of_dense (λ ε εpos, _))⟩,
-- the elements of `v` are disjoint and all contained in a finite volume ball, hence the sum
-- of their measures is finite.
have I : ∑' (a : v), μ (B a) < ∞,
{ calc ∑' (a : v), μ (B a) = μ (⋃ (a ∈ v), B a) : begin
rw measure_bUnion (u_count.mono vu) _ (λ a ha, (h't _ (vu.trans ut ha)).measurable_set),
exact u_disj.subset vu
end
... ≤ μ (closed_ball x K) : measure_mono (Union₂_subset (λ a ha, hK a (vu ha) ha.2))
... < ∞ : μK },
-- we can obtain a finite subfamily of `v`, such that the measures of the remaining elements
-- add up to an arbitrarily small number, say `ε / C`.
obtain ⟨w, hw⟩ : ∃ (w : finset ↥v), ∑' (a : {a // a ∉ w}), μ (B a) < ε / C,
{ have : 0 < ε / C, by simp only [ennreal.div_pos_iff, εpos.ne', ennreal.coe_ne_top, ne.def,
not_false_iff, and_self],
exact ((tendsto_order.1 (ennreal.tendsto_tsum_compl_at_top_zero I.ne)).2 _ this).exists },
-- main property: the points `z` of `s` which are not covered by `u` are contained in the
-- enlargements of the elements not in `w`.
have M : (s \ ⋃ a ∈ u, B a) ∩ ball x (R x)
⊆ ⋃ (a : {a // a ∉ w}), closed_ball (c a) (3 * r a),
{ assume z hz,
set k := ⋃ (a : v) (ha : a ∈ w), B a with hk,
have k_closed : is_closed k :=
is_closed_bUnion w.finite_to_set (λ i hi, h't _ (ut (vu i.2))),
have z_notmem_k : z ∉ k,
{ simp only [not_exists, exists_prop, mem_Union, mem_sep_iff, forall_exists_index,
set_coe.exists, not_and, exists_and_distrib_right, subtype.coe_mk],
assume b hbv h'b h'z,
have : z ∈ (s \ ⋃ a ∈ u, B a) ∩ (⋃ a ∈ u, B a) :=
mem_inter (mem_of_mem_inter_left hz) (mem_bUnion (vu hbv) h'z),
simpa only [diff_inter_self] },
-- since the elements of `w` are closed and finitely many, one can find a small ball around `z`
-- not intersecting them
have : ball x (R x) \ k ∈ 𝓝 z,
{ apply is_open.mem_nhds (is_open_ball.sdiff k_closed) _,
exact (mem_diff _).2 ⟨mem_of_mem_inter_right hz, z_notmem_k⟩ },
obtain ⟨d, dpos, hd⟩ : ∃ (d : ℝ) (dpos : 0 < d), closed_ball z d ⊆ ball x (R x) \ k :=
nhds_basis_closed_ball.mem_iff.1 this,
-- choose an element `a` of the family `t` contained in this small ball
obtain ⟨a, hat, ad, rfl⟩ : ∃ a ∈ t, r a ≤ min d (R z) ∧ c a = z,
from hf z ((mem_diff _).1 (mem_of_mem_inter_left hz)).1 (min d (R z)) (lt_min dpos (hR0 z)),
have ax : B a ⊆ ball x (R x),
{ refine (hB a hat).trans _,
refine subset.trans _ (hd.trans (diff_subset (ball x (R x)) k)),
exact closed_ball_subset_closed_ball (ad.trans (min_le_left _ _)), },
-- it intersects an element `b` of `u` with comparable diameter, by definition of `u`
obtain ⟨b, bu, ab, bdiam⟩ : ∃ b ∈ u, (B a ∩ B b).nonempty ∧ r a ≤ 2 * r b,
from hu a ⟨hat, ad.trans (min_le_right _ _)⟩,
have bv : b ∈ v,
{ refine ⟨bu, ab.mono _⟩,
rw inter_comm,
exact inter_subset_inter_right _ ax },
let b' : v := ⟨b, bv⟩,
-- `b` can not belong to `w`, as the elements of `w` do not intersect `closed_ball z d`,
-- contrary to `b`
have b'_notmem_w : b' ∉ w,
{ assume b'w,
have b'k : B b' ⊆ k, from @finset.subset_set_bUnion_of_mem _ _ _ (λ (y : v), B y) _ b'w,
have : ((ball x (R x) \ k) ∩ k).nonempty,
{ apply ab.mono (inter_subset_inter _ b'k),
refine ((hB _ hat).trans _).trans hd,
exact (closed_ball_subset_closed_ball (ad.trans (min_le_left _ _))) },
simpa only [diff_inter_self, not_nonempty_empty] },
let b'' : {a // a ∉ w} := ⟨b', b'_notmem_w⟩,
-- since `a` and `b` have comparable diameters, it follows that `z` belongs to the
-- enlargement of `b`
have zb : c a ∈ closed_ball (c b) (3 * r b),
{ rcases ab with ⟨e, ⟨ea, eb⟩⟩,
have A : dist (c a) e ≤ r a, from mem_closed_ball'.1 (hB a hat ea),
have B : dist e (c b) ≤ r b, from mem_closed_ball.1 (hB b (ut bu) eb),
simp only [mem_closed_ball],
linarith [dist_triangle (c a) e (c b)] },
suffices H : closed_ball (c b'') (3 * r b'')
⊆ ⋃ (a : {a // a ∉ w}), closed_ball (c a) (3 * r a), from H zb,
exact subset_Union (λ (a : {a // a ∉ w}), closed_ball (c a) (3 * r a)) b'' },
-- now that we have proved our main inclusion, we can use it to estimate the measure of the points
-- in `ball x (r x)` not covered by `u`.
haveI : encodable v := (u_count.mono vu).to_encodable,
calc μ ((s \ ⋃ a ∈ u, B a) ∩ ball x (R x))
≤ μ (⋃ (a : {a // a ∉ w}), closed_ball (c a) (3 * r a)) : measure_mono M
... ≤ ∑' (a : {a // a ∉ w}), μ (closed_ball (c a) (3 * r a)) :
measure_Union_le _
... ≤ ∑' (a : {a // a ∉ w}), C * μ (B a) : ennreal.tsum_le_tsum (λ a, μB a (ut (vu a.1.2)))
... = C * ∑' (a : {a // a ∉ w}), μ (B a) : ennreal.tsum_mul_left
... ≤ C * (ε / C) : mul_le_mul_left' hw.le _
... ≤ ε : ennreal.mul_div_le
end
/-- Assume that around every point there are arbitrarily small scales at which the measure is
doubling. Then the set of closed sets `a` with nonempty interior contained in `closed_ball x r` and
covering a fixed proportion `1/C` of the ball `closed_ball x (3 * r)` forms a Vitali family.
This is essentially a restatement of the measurable Vitali theorem. -/
protected def vitali_family [metric_space α] [measurable_space α] [opens_measurable_space α]
[second_countable_topology α] (μ : measure α) [is_locally_finite_measure μ] (C : ℝ≥0)
(h : ∀ x, ∃ᶠ r in 𝓝[>] 0, μ (closed_ball x (3 * r)) ≤ C * μ (closed_ball x r)) :
vitali_family μ :=
{ sets_at := λ x, {a | is_closed a ∧ (interior a).nonempty ∧ ∃ r, (a ⊆ closed_ball x r ∧
μ (closed_ball x (3 * r)) ≤ C * μ a)},
measurable_set' := λ x a ha, ha.1.measurable_set,
nonempty_interior := λ x a ha, ha.2.1,
nontrivial := λ x ε εpos, begin
obtain ⟨r, μr, rpos, rε⟩ : ∃ r,
μ (closed_ball x (3 * r)) ≤ C * μ (closed_ball x r) ∧ r ∈ Ioc (0 : ℝ) ε :=
((h x).and_eventually (Ioc_mem_nhds_within_Ioi ⟨le_rfl, εpos⟩)).exists,
refine ⟨closed_ball x r, ⟨is_closed_ball, _, ⟨r, subset.rfl, μr⟩⟩,
closed_ball_subset_closed_ball rε⟩,
exact (nonempty_ball.2 rpos).mono (ball_subset_interior_closed_ball)
end,
covering := begin
assume s f fsubset ffine,
let t : set (ℝ × α × set α) :=
{p | p.2.2 ⊆ closed_ball p.2.1 p.1 ∧ μ (closed_ball p.2.1 (3 * p.1)) ≤ C * μ p.2.2
∧ (interior p.2.2).nonempty ∧ is_closed p.2.2 ∧ p.2.2 ∈ f p.2.1 ∧ p.2.1 ∈ s},
have A : ∀ x ∈ s, ∀ (ε : ℝ), ε > 0 → (∃ (p : ℝ × α × set α) (Hp : p ∈ t), p.1 ≤ ε ∧ p.2.1 = x),
{ assume x xs ε εpos,
rcases ffine x xs ε εpos with ⟨a, ha, h'a⟩,
rcases fsubset x xs ha with ⟨a_closed, a_int, ⟨r, ar, μr⟩⟩,
refine ⟨⟨min r ε, x, a⟩, ⟨_, _, a_int, a_closed, ha, xs⟩, min_le_right _ _, rfl⟩,
{ rcases min_cases r ε with h'|h'; rwa h'.1 },
{ apply le_trans (measure_mono (closed_ball_subset_closed_ball _)) μr,
exact mul_le_mul_of_nonneg_left (min_le_left _ _) zero_le_three } },
rcases exists_disjoint_covering_ae μ s t C (λ p, p.1) (λ p, p.2.1) (λ p, p.2.2) (λ p hp, hp.1)
(λ p hp, hp.2.1) (λ p hp, hp.2.2.1) (λ p hp, hp.2.2.2.1) A
with ⟨t', t't, t'_count, t'_disj, μt'⟩,
refine ⟨(λ (p : ℝ × α × set α), p.2) '' t', _, _, _, _⟩,
{ rintros - ⟨q, hq, rfl⟩,
exact (t't hq).2.2.2.2.2 },
{ rintros p ⟨q, hq, rfl⟩ p' ⟨q', hq', rfl⟩ hqq',
exact t'_disj hq hq' (ne_of_apply_ne _ hqq') },
{ rintros - ⟨q, hq, rfl⟩,
exact (t't hq).2.2.2.2.1 },
{ convert μt' using 3,
rw bUnion_image }
end }
end vitali
|
476845af1cce530f00a3b2a24dc8d832d6e5c8a7 | ae1e94c332e17c7dc7051ce976d5a9eebe7ab8a5 | /src/Init/Control/Option.lean | 38a58762fe5df1aeff8b362ac612426ac2f38c16 | [
"Apache-2.0"
] | permissive | dupuisf/lean4 | d082d13b01243e1de29ae680eefb476961221eef | 6a39c65bd28eb0e28c3870188f348c8914502718 | refs/heads/master | 1,676,948,755,391 | 1,610,665,114,000 | 1,610,665,114,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,880 | lean | /-
Copyright (c) 2017 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Sebastian Ullrich
-/
prelude
import Init.Data.Option.Basic
import Init.Control.Basic
import Init.Control.Except
universes u v
instance {α} : ToBool (Option α) := ⟨Option.toBool⟩
def OptionT (m : Type u → Type v) (α : Type u) : Type v :=
m (Option α)
@[inline] def OptionT.run {m : Type u → Type v} {α : Type u} (x : OptionT m α) : m (Option α) :=
x
namespace OptionT
variables {m : Type u → Type v} [Monad m] {α β : Type u}
@[inline] protected def bind (x : OptionT m α) (f : α → OptionT m β) : OptionT m β := id (α := m (Option β)) do
match (← x) with
| some a => f a
| none => pure none
@[inline] protected def pure (a : α) : OptionT m α := id (α := m (Option α)) do
pure (some a)
instance : Monad (OptionT m) := {
pure := OptionT.pure
bind := OptionT.bind
}
@[inline] protected def orElse (x : OptionT m α) (y : OptionT m α) : OptionT m α := id (α := m (Option α)) do
match (← x) with
| some a => pure (some a)
| _ => y
@[inline] protected def fail : OptionT m α := id (α := m (Option α)) do
pure none
instance : Alternative (OptionT m) := {
failure := OptionT.fail
orElse := OptionT.orElse
}
@[inline] protected def lift (x : m α) : OptionT m α := id (α := m (Option α)) do
return some (← x)
instance : MonadLift m (OptionT m) := ⟨OptionT.lift⟩
instance : MonadFunctor m (OptionT m) := ⟨fun f x => f x⟩
@[inline] protected def tryCatch (x : OptionT m α) (handle : Unit → OptionT m α) : OptionT m α := id (α := m (Option α)) do
let some a ← x | handle ()
pure a
instance : MonadExceptOf Unit (OptionT m) := {
throw := fun _ => OptionT.fail
tryCatch := OptionT.tryCatch
}
end OptionT
|
60a9982835035fad7dd8f4e8ec96e6e506b37964 | a0e23cfdd129a671bf3154ee1a8a3a72bf4c7940 | /src/Lean/Elab/Tactic/Basic.lean | 2fdd00d44b8498bcd8e051061c1b9bdfab9d2065 | [
"Apache-2.0"
] | permissive | WojciechKarpiel/lean4 | 7f89706b8e3c1f942b83a2c91a3a00b05da0e65b | f6e1314fa08293dea66a329e05b6c196a0189163 | refs/heads/master | 1,686,633,402,214 | 1,625,821,189,000 | 1,625,821,258,000 | 384,640,886 | 0 | 0 | Apache-2.0 | 1,625,903,617,000 | 1,625,903,026,000 | null | UTF-8 | Lean | false | false | 14,282 | 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, Sebastian Ullrich
-/
import Lean.Util.CollectMVars
import Lean.Parser.Command
import Lean.Meta.PPGoal
import Lean.Meta.Tactic.Assumption
import Lean.Meta.Tactic.Contradiction
import Lean.Meta.Tactic.Intro
import Lean.Meta.Tactic.Clear
import Lean.Meta.Tactic.Revert
import Lean.Meta.Tactic.Subst
import Lean.Elab.Util
import Lean.Elab.Term
import Lean.Elab.Binders
namespace Lean.Elab
open Meta
/- Assign `mvarId := sorry` -/
def admitGoal (mvarId : MVarId) : MetaM Unit :=
withMVarContext mvarId do
let mvarType ← inferType (mkMVar mvarId)
assignExprMVar mvarId (← mkSorry mvarType (synthetic := true))
def goalsToMessageData (goals : List MVarId) : MessageData :=
MessageData.joinSep (goals.map $ MessageData.ofGoal) m!"\n\n"
def Term.reportUnsolvedGoals (goals : List MVarId) : TermElabM Unit :=
withPPInaccessibleNames do
logError <| MessageData.tagged `Tactic.unsolvedGoals <| m!"unsolved goals\n{goalsToMessageData goals}"
goals.forM fun mvarId => admitGoal mvarId
namespace Tactic
structure Context where
main : MVarId
-- declaration name of the executing elaborator, used by `mkTacticInfo` to persist it in the info tree
elaborator : Name
structure State where
goals : List MVarId
deriving Inhabited
structure SavedState where
term : Term.SavedState
tactic : State
abbrev TacticM := ReaderT Context $ StateRefT State TermElabM
abbrev Tactic := Syntax → TacticM Unit
-- Make the compiler generate specialized `pure`/`bind` so we do not have to optimize through the
-- whole monad stack at every use site. May eventually be covered by `deriving`.
instance : Monad TacticM := { inferInstanceAs (Monad TacticM) with }
def getGoals : TacticM (List MVarId) :=
return (← get).goals
def setGoals (mvarIds : List MVarId) : TacticM Unit :=
modify fun s => { s with goals := mvarIds }
def pruneSolvedGoals : TacticM Unit := do
let gs ← getGoals
let gs ← gs.filterM fun g => not <$> isExprMVarAssigned g
setGoals gs
def getUnsolvedGoals : TacticM (List MVarId) := do
pruneSolvedGoals
getGoals
@[inline] private def TacticM.runCore (x : TacticM α) (ctx : Context) (s : State) : TermElabM (α × State) :=
x ctx |>.run s
@[inline] private def TacticM.runCore' (x : TacticM α) (ctx : Context) (s : State) : TermElabM α :=
Prod.fst <$> x.runCore ctx s
def run (mvarId : MVarId) (x : TacticM Unit) : TermElabM (List MVarId) :=
withMVarContext mvarId do
let savedSyntheticMVars := (← get).syntheticMVars
modify fun s => { s with syntheticMVars := [] }
let aux : TacticM (List MVarId) :=
/- Important: the following `try` does not backtrack the state.
This is intentional because we don't want to backtrack the error messages when we catch the "abort internal exception"
We must define `run` here because we define `MonadExcept` instance for `TacticM` -/
try
x; getUnsolvedGoals
catch ex =>
if isAbortTacticException ex then
getUnsolvedGoals
else
throw ex
try
aux.runCore' { main := mvarId, elaborator := Name.anonymous } { goals := [mvarId] }
finally
modify fun s => { s with syntheticMVars := savedSyntheticMVars }
protected def saveState : TacticM SavedState :=
return { term := (← Term.saveState), tactic := (← get) }
def SavedState.restore (b : SavedState) : TacticM Unit := do
b.term.restore
set b.tactic
protected def getCurrMacroScope : TacticM MacroScope := do pure (← readThe Term.Context).currMacroScope
protected def getMainModule : TacticM Name := do pure (← getEnv).mainModule
unsafe def mkTacticAttribute : IO (KeyedDeclsAttribute Tactic) :=
mkElabAttribute Tactic `Lean.Elab.Tactic.tacticElabAttribute `builtinTactic `tactic `Lean.Parser.Tactic `Lean.Elab.Tactic.Tactic "tactic"
@[builtinInit mkTacticAttribute] constant tacticElabAttribute : KeyedDeclsAttribute Tactic
def mkTacticInfo (mctxBefore : MetavarContext) (goalsBefore : List MVarId) (stx : Syntax) : TacticM Info :=
return Info.ofTacticInfo {
elaborator := (← read).elaborator
mctxBefore := mctxBefore
goalsBefore := goalsBefore
stx := stx
mctxAfter := (← getMCtx)
goalsAfter := (← getUnsolvedGoals)
}
def mkInitialTacticInfo (stx : Syntax) : TacticM (TacticM Info) := do
let mctxBefore ← getMCtx
let goalsBefore ← getUnsolvedGoals
return mkTacticInfo mctxBefore goalsBefore stx
@[inline] def withTacticInfoContext (stx : Syntax) (x : TacticM α) : TacticM α := do
withInfoContext x (← mkInitialTacticInfo stx)
/-
Important: we must define `evalTacticUsing` and `expandTacticMacroFns` before we define
the instance `MonadExcept` for `TacticM` since it backtracks the state including error messages,
and this is bad when rethrowing the exception at the `catch` block in these methods.
We marked these places with a `(*)` in these methods.
-/
private def evalTacticUsing (s : SavedState) (stx : Syntax) (tactics : List (KeyedDeclsAttribute.AttributeEntry Tactic)) : TacticM Unit := do
let rec loop
| [] => throwErrorAt stx "unexpected syntax {indentD stx}"
| evalFn::evalFns => do
try
withReader ({ · with elaborator := evalFn.decl }) <| withTacticInfoContext stx <| evalFn.value stx
catch
| ex@(Exception.error _ _) =>
match evalFns with
| [] => throw ex -- (*)
| evalFns => s.restore; loop evalFns
| ex@(Exception.internal id _) =>
if id == unsupportedSyntaxExceptionId then
s.restore; loop evalFns
else
throw ex
loop tactics
mutual
partial def expandTacticMacroFns (stx : Syntax) (macros : List (KeyedDeclsAttribute.AttributeEntry Macro)) : TacticM Unit :=
let rec loop
| [] => throwErrorAt stx "tactic '{stx.getKind}' has not been implemented"
| m::ms => do
let scp ← getCurrMacroScope
try
withReader ({ · with elaborator := m.decl }) do
withTacticInfoContext stx do
let stx' ← adaptMacro m.value stx
evalTactic stx'
catch ex =>
if ms.isEmpty then throw ex -- (*)
loop ms
loop macros
partial def expandTacticMacro (stx : Syntax) : TacticM Unit := do
expandTacticMacroFns stx (macroAttribute.getEntries (← getEnv) stx.getKind)
partial def evalTacticAux (stx : Syntax) : TacticM Unit :=
withRef stx $ withIncRecDepth $ withFreshMacroScope $ match stx with
| Syntax.node k args =>
if k == nullKind then
-- Macro writers create a sequence of tactics `t₁ ... tₙ` using `mkNullNode #[t₁, ..., tₙ]`
stx.getArgs.forM evalTactic
else do
trace[Elab.step] "{stx}"
let s ← Tactic.saveState
match tacticElabAttribute.getEntries (← getEnv) stx.getKind with
| [] => expandTacticMacro stx
| evalFns => evalTacticUsing s stx evalFns
| _ => throwError m!"unexpected tactic{indentD stx}"
partial def evalTactic (stx : Syntax) : TacticM Unit :=
evalTacticAux stx
end
def throwNoGoalsToBeSolved : TacticM α :=
throwError "no goals to be solved"
def done : TacticM Unit := do
let gs ← getUnsolvedGoals
unless gs.isEmpty do
Term.reportUnsolvedGoals gs
throwAbortTactic
def focus (x : TacticM α) : TacticM α := do
let mvarId :: mvarIds ← getUnsolvedGoals | throwNoGoalsToBeSolved
setGoals [mvarId]
let a ← x
let mvarIds' ← getUnsolvedGoals
setGoals (mvarIds' ++ mvarIds)
pure a
def focusAndDone (tactic : TacticM α) : TacticM α :=
focus do
let a ← tactic
done
pure a
/- Close the main goal using the given tactic. If it fails, log the error and `admit` -/
def closeUsingOrAdmit (tac : TacticM Unit) : TacticM Unit := do
/- Important: we must define `closeUsingOrAdmit` before we define
the instance `MonadExcept` for `TacticM` since it backtracks the state including error messages. -/
let mvarId :: mvarIds ← getUnsolvedGoals | throwNoGoalsToBeSolved
try
focusAndDone tac
catch ex =>
logException ex
admitGoal mvarId
setGoals mvarIds
instance : MonadBacktrack SavedState TacticM where
saveState := Tactic.saveState
restoreState b := b.restore
@[inline] protected def tryCatch {α} (x : TacticM α) (h : Exception → TacticM α) : TacticM α := do
let b ← saveState
try x catch ex => b.restore; h ex
instance : MonadExcept Exception TacticM where
throw := throw
tryCatch := Tactic.tryCatch
@[inline] protected def orElse {α} (x y : TacticM α) : TacticM α := do
try x catch _ => y
instance {α} : OrElse (TacticM α) where
orElse := Tactic.orElse
/-
Save the current tactic state for a token `stx`.
This method is a no-op if `stx` has no position information.
We use this method to save the tactic state at punctuation such as `;`
-/
def saveTacticInfoForToken (stx : Syntax) : TacticM Unit := do
unless stx.getPos?.isNone do
withTacticInfoContext stx (pure ())
/- Elaborate `x` with `stx` on the macro stack -/
@[inline]
def withMacroExpansion {α} (beforeStx afterStx : Syntax) (x : TacticM α) : TacticM α :=
withMacroExpansionInfo beforeStx afterStx do
withTheReader Term.Context (fun ctx => { ctx with macroStack := { before := beforeStx, after := afterStx } :: ctx.macroStack }) x
/-- Adapt a syntax transformation to a regular tactic evaluator. -/
def adaptExpander (exp : Syntax → TacticM Syntax) : Tactic := fun stx => do
let stx' ← exp stx
withMacroExpansion stx stx' $ evalTactic stx'
def appendGoals (mvarIds : List MVarId) : TacticM Unit :=
modify fun s => { s with goals := s.goals ++ mvarIds }
def replaceMainGoal (mvarIds : List MVarId) : TacticM Unit := do
let (mvarId :: mvarIds') ← getGoals | throwNoGoalsToBeSolved
modify fun s => { s with goals := mvarIds ++ mvarIds' }
/-- Return the first goal. -/
def getMainGoal : TacticM MVarId := do
loop (← getGoals)
where
loop : List MVarId → TacticM MVarId
| [] => throwNoGoalsToBeSolved
| mvarId :: mvarIds => do
if (← isExprMVarAssigned mvarId) then
loop mvarIds
else
setGoals (mvarId :: mvarIds)
return mvarId
/-- Return the main goal metavariable declaration. -/
def getMainDecl : TacticM MetavarDecl := do
getMVarDecl (← getMainGoal)
/-- Return the main goal tag. -/
def getMainTag : TacticM Name :=
return (← getMainDecl).userName
/-- Return expected type for the main goal. -/
def getMainTarget : TacticM Expr := do
instantiateMVars (← getMainDecl).type
/-- Execute `x` using the main goal local context and instances -/
def withMainContext (x : TacticM α) : TacticM α := do
withMVarContext (← getMainGoal) x
/-- Evaluate `tac` at `mvarId`, and return the list of resulting subgoals. -/
def evalTacticAt (tac : Syntax) (mvarId : MVarId) : TacticM (List MVarId) := do
let gs ← getGoals
try
setGoals [mvarId]
evalTactic tac
pruneSolvedGoals
getGoals
finally
setGoals gs
def ensureHasNoMVars (e : Expr) : TacticM Unit := do
let e ← instantiateMVars e
let pendingMVars ← getMVars e
discard <| Term.logUnassignedUsingErrorInfos pendingMVars
if e.hasExprMVar then
throwError "tactic failed, resulting expression contains metavariables{indentExpr e}"
/-- Close main goal using the given expression. If `checkUnassigned == true`, then `val` must not contain unassinged metavariables. -/
def closeMainGoal (val : Expr) (checkUnassigned := true): TacticM Unit := do
if checkUnassigned then
ensureHasNoMVars val
assignExprMVar (← getMainGoal) val
replaceMainGoal []
@[inline] def liftMetaMAtMain (x : MVarId → MetaM α) : TacticM α := do
withMainContext do x (← getMainGoal)
@[inline] def liftMetaTacticAux (tac : MVarId → MetaM (α × List MVarId)) : TacticM α := do
withMainContext do
let (a, mvarIds) ← tac (← getMainGoal)
replaceMainGoal mvarIds
pure a
@[inline] def liftMetaTactic (tactic : MVarId → MetaM (List MVarId)) : TacticM Unit :=
liftMetaTacticAux fun mvarId => do
let gs ← tactic mvarId
pure ((), gs)
def tryTactic? (tactic : TacticM α) : TacticM (Option α) := do
try
pure (some (← tactic))
catch _ =>
pure none
def tryTactic (tactic : TacticM α) : TacticM Bool := do
try
discard tactic
pure true
catch _ =>
pure false
/--
Use `parentTag` to tag untagged goals at `newGoals`.
If there are multiple new untagged goals, they are named using `<parentTag>.<newSuffix>_<idx>` where `idx > 0`.
If there is only one new untagged goal, then we just use `parentTag` -/
def tagUntaggedGoals (parentTag : Name) (newSuffix : Name) (newGoals : List MVarId) : TacticM Unit := do
let mctx ← getMCtx
let mut numAnonymous := 0
for g in newGoals do
if mctx.isAnonymousMVar g then
numAnonymous := numAnonymous + 1
modifyMCtx fun mctx => do
let mut mctx := mctx
let mut idx := 1
for g in newGoals do
if mctx.isAnonymousMVar g then
if numAnonymous == 1 then
mctx := mctx.renameMVar g parentTag
else
mctx := mctx.renameMVar g (parentTag ++ newSuffix.appendIndexAfter idx)
idx := idx + 1
pure mctx
/- Recall that `ident' := ident <|> Term.hole` -/
def getNameOfIdent' (id : Syntax) : Name :=
if id.isIdent then id.getId else `_
def getFVarId (id : Syntax) : TacticM FVarId := withRef id do
let fvar? ← Term.isLocalIdent? id;
match fvar? with
| some fvar => pure fvar.fvarId!
| none => throwError "unknown variable '{id.getId}'"
def getFVarIds (ids : Array Syntax) : TacticM (Array FVarId) := do
withMainContext do ids.mapM getFVarId
/--
Use position of `=> $body` for error messages.
If there is a line break before `body`, the message will be displayed on `=>` only,
but the "full range" for the info view will still include `body`. -/
def withCaseRef [Monad m] [MonadRef m] (arrow body : Syntax) (x : m α) : m α :=
withRef (mkNullNode #[arrow, body]) x
builtin_initialize registerTraceClass `Elab.tactic
end Lean.Elab.Tactic
|
89bbe180d075771fc8f74a93392244ba2575cfa3 | 63abd62053d479eae5abf4951554e1064a4c45b4 | /src/algebra/category/Module/monoidal.lean | a06c3f94f2527f36b9122f91ad70e8396d86b56f | [
"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 | 7,518 | lean | /-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Buzzard, Scott Morrison
-/
import category_theory.monoidal.braided
import algebra.category.Module.basic
import linear_algebra.tensor_product
/-!
# The symmetric monoidal category structure on R-modules
Mostly this uses existing machinery in `linear_algebra.tensor_product`.
We just need to provide a few small missing pieces to build the
`monoidal_category` instance and then the `symmetric_category` instance.
If you're happy using the bundled `Module R`, it may be possible to mostly
use this as an interface and not need to interact much with the implementation details.
-/
universes u
open category_theory
namespace Module
variables {R : Type u} [comm_ring R]
namespace monoidal_category
-- The definitions inside this namespace are essentially private.
-- After we build the `monoidal_category (Module R)` instance,
-- you should use that API.
open_locale tensor_product
/-- (implementation) tensor product of R-modules -/
def tensor_obj (M N : Module R) : Module R := Module.of R (M ⊗[R] N)
/-- (implementation) tensor product of morphisms R-modules -/
def tensor_hom {M N M' N' : Module R} (f : M ⟶ N) (g : M' ⟶ N') : tensor_obj M M' ⟶ tensor_obj N N' :=
tensor_product.map f g
lemma tensor_id (M N : Module R) : tensor_hom (𝟙 M) (𝟙 N) = 𝟙 (Module.of R (↥M ⊗ ↥N)) :=
by tidy
lemma tensor_comp {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : Module R}
(f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁) (g₂ : Y₂ ⟶ Z₂) :
tensor_hom (f₁ ≫ g₁) (f₂ ≫ g₂) = tensor_hom f₁ f₂ ≫ tensor_hom g₁ g₂ :=
by tidy
/-- (implementation) the associator for R-modules -/
def associator (M N K : Module R) : tensor_obj (tensor_obj M N) K ≅ tensor_obj M (tensor_obj N K) :=
linear_equiv.to_Module_iso (tensor_product.assoc R M N K)
lemma associator_naturality {X₁ X₂ X₃ Y₁ Y₂ Y₃ : Module R}
(f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (f₃ : X₃ ⟶ Y₃) :
tensor_hom (tensor_hom f₁ f₂) f₃ ≫ (associator Y₁ Y₂ Y₃).hom =
(associator X₁ X₂ X₃).hom ≫ tensor_hom f₁ (tensor_hom f₂ f₃) :=
begin
apply tensor_product.ext_threefold,
intros x y z,
refl
end
lemma pentagon (W X Y Z : Module R) :
tensor_hom (associator W X Y).hom (𝟙 Z) ≫ (associator W (tensor_obj X Y) Z).hom ≫ tensor_hom (𝟙 W) (associator X Y Z).hom =
(associator (tensor_obj W X) Y Z).hom ≫ (associator W X (tensor_obj Y Z)).hom :=
begin
apply tensor_product.ext_fourfold,
intros w x y z,
refl
end
/-- (implementation) the left unitor for R-modules -/
def left_unitor (M : Module.{u} R) : Module.of R (R ⊗[R] M) ≅ M :=
(linear_equiv.to_Module_iso (tensor_product.lid R M) : of R (R ⊗ M) ≅ of R M).trans (of_self_iso M)
lemma left_unitor_naturality {M N : Module R} (f : M ⟶ N) :
tensor_hom (𝟙 (Module.of R R)) f ≫ (left_unitor N).hom = (left_unitor M).hom ≫ f :=
begin
ext x y, simp,
erw [tensor_product.lid_tmul, tensor_product.lid_tmul],
rw linear_map.map_smul,
refl,
end
/-- (implementation) the right unitor for R-modules -/
def right_unitor (M : Module.{u} R) : Module.of R (M ⊗[R] R) ≅ M :=
(linear_equiv.to_Module_iso (tensor_product.rid R M) : of R (M ⊗ R) ≅ of R M).trans (of_self_iso M)
lemma right_unitor_naturality {M N : Module R} (f : M ⟶ N) :
tensor_hom f (𝟙 (Module.of R R)) ≫ (right_unitor N).hom = (right_unitor M).hom ≫ f :=
begin
ext x y, simp,
erw [tensor_product.rid_tmul, tensor_product.rid_tmul],
rw linear_map.map_smul,
refl,
end
lemma triangle (M N : Module.{u} R) :
(associator M (Module.of R R) N).hom ≫ tensor_hom (𝟙 M) (left_unitor N).hom =
tensor_hom (right_unitor M).hom (𝟙 N) :=
begin
apply tensor_product.ext_threefold,
intros x y z,
change R at y,
dsimp [tensor_hom, associator],
erw [tensor_product.lid_tmul, tensor_product.rid_tmul],
apply (tensor_product.smul_tmul _ _ _).symm
end
end monoidal_category
open monoidal_category
instance Module.monoidal_category : monoidal_category (Module.{u} R) :=
{ -- data
tensor_obj := tensor_obj,
tensor_hom := @tensor_hom _ _,
tensor_unit := Module.of R R,
associator := associator,
left_unitor := left_unitor,
right_unitor := right_unitor,
-- properties
tensor_id' := λ M N, tensor_id M N,
tensor_comp' := λ M N K M' N' K' f g h, tensor_comp f g h,
associator_naturality' := λ M N K M' N' K' f g h, associator_naturality f g h,
left_unitor_naturality' := λ M N f, left_unitor_naturality f,
right_unitor_naturality' := λ M N f, right_unitor_naturality f,
pentagon' := λ M N K L, pentagon M N K L,
triangle' := λ M N, triangle M N, }
/-- Remind ourselves that the monoidal unit, being just `R`, is still a commutative ring. -/
instance : comm_ring ((𝟙_ (Module.{u} R) : Module.{u} R) : Type u) := (by apply_instance : comm_ring R)
namespace monoidal_category
@[simp]
lemma hom_apply {K L M N : Module.{u} R} (f : K ⟶ L) (g : M ⟶ N) (k : K) (m : M) :
(f ⊗ g) (k ⊗ₜ m) = f k ⊗ₜ g m := rfl
@[simp]
lemma left_unitor_hom_apply {M : Module.{u} R} (r : R) (m : M) :
((λ_ M).hom : 𝟙_ (Module R) ⊗ M ⟶ M) (r ⊗ₜ[R] m) = r • m :=
tensor_product.lid_tmul m r
@[simp]
lemma right_unitor_hom_apply {M : Module.{u} R} (m : M) (r : R) :
((ρ_ M).hom : M ⊗ 𝟙_ (Module R) ⟶ M) (m ⊗ₜ r) = r • m :=
tensor_product.rid_tmul m r
@[simp]
lemma associator_hom_apply {M N K : Module.{u} R} (m : M) (n : N) (k : K) :
((α_ M N K).hom : (M ⊗ N) ⊗ K ⟶ M ⊗ (N ⊗ K)) ((m ⊗ₜ n) ⊗ₜ k) = (m ⊗ₜ (n ⊗ₜ k)) := rfl
end monoidal_category
/-- (implementation) the braiding for R-modules -/
def braiding (M N : Module R) : tensor_obj M N ≅ tensor_obj N M :=
linear_equiv.to_Module_iso (tensor_product.comm R M N)
@[simp] lemma braiding_naturality {X₁ X₂ Y₁ Y₂ : Module.{u} R} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) :
(f ⊗ g) ≫ (Y₁.braiding Y₂).hom =
(X₁.braiding X₂).hom ≫ (g ⊗ f) :=
begin
apply tensor_product.ext,
intros x y,
refl
end
@[simp] lemma hexagon_forward (X Y Z : Module.{u} R) :
(α_ X Y Z).hom ≫ (braiding X _).hom ≫ (α_ Y Z X).hom =
((braiding X Y).hom ⊗ 𝟙 Z) ≫ (α_ Y X Z).hom ≫ (𝟙 Y ⊗ (braiding X Z).hom) :=
begin
apply tensor_product.ext_threefold,
intros x y z,
refl,
end
@[simp] lemma hexagon_reverse (X Y Z : Module.{u} R) :
(α_ X Y Z).inv ≫ (braiding _ Z).hom ≫ (α_ Z X Y).inv =
(𝟙 X ⊗ (Y.braiding Z).hom) ≫ (α_ X Z Y).inv ≫ ((X.braiding Z).hom ⊗ 𝟙 Y) :=
begin
apply (cancel_epi (α_ X Y Z).hom).1,
apply tensor_product.ext_threefold,
intros x y z,
refl,
end
/-- The symmetric monoidal structure on `Module R`. -/
instance Module.symmetric_category : symmetric_category (Module.{u} R) :=
{ braiding := braiding,
braiding_naturality' := λ X₁ X₂ Y₁ Y₂ f g, braiding_naturality f g,
hexagon_forward' := hexagon_forward,
hexagon_reverse' := hexagon_reverse, }
namespace monoidal_category
@[simp] lemma braiding_hom_apply {M N : Module.{u} R} (m : M) (n : N) :
((β_ M N).hom : M ⊗ N ⟶ N ⊗ M) (m ⊗ₜ n) = n ⊗ₜ m := rfl
@[simp] lemma braiding_inv_apply {M N : Module.{u} R} (m : M) (n : N) :
((β_ M N).inv : N ⊗ M ⟶ M ⊗ N) (n ⊗ₜ m) = m ⊗ₜ n := rfl
end monoidal_category
end Module
|
d1a56ffccee7bc88cf4ba7e09347d56a9130466a | 74d9d5f45c6ce5c4f2faf215c04a68eab55fe525 | /src/differentiability/normed_space.lean | dfd0ff276b3329153f7293e56d7174b41be18171 | [] | no_license | joshpoll/differential_geometry | 290bb8a934ca3b3b6b707d810e6d4b941710b710 | 57e00a7e37b7c4c73c847429171ff63d3a48def5 | refs/heads/master | 1,584,551,626,391 | 1,527,747,643,000 | 1,527,747,643,000 | 135,014,993 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 14,803 | lean | -- Inspired by Patrick Massot
-- This approach differs from that of Patrick's by using continuity instead of boundedness. As with Caratheodory, this hides norms and epsilon-deltas as much as possible.
-- Boundedness and continuity for linear operators are equivalent on the most common spaces of study, but may diverge on other spaces.
-- continuity also provides more general proofs than norm arguments.
-- admittedly, with the more powerful norm_num, the gap between the two approaches is smaller. I still believe continuous is the right way forward. It still replicates less work than boundedness
-- TODO: Lean still doesn't have pointwise continuity(!). We want that to make proofs more general. It's pretty simple to do.
-- TODO: continuous at 0/arbitrary point => continuous everywhere
-- see http://matrixeditions.com/FA.Chap3.1-4.pdf (among others)
-- TODO: copy module.lean and linear_map_module.lean
import algebra.field
import tactic.norm_num
import analysis.topology.continuity
import .norm
import order.complete_lattice
open lattice
noncomputable theory
local attribute [instance] classical.prop_decidable
local notation f `→_{`:50 a `}`:0 b := filter.tendsto f (nhds a) (nhds b)
universes u v w x
variables {k : Type u}
variables {E : Type v}
variables {F : Type w}
variables {G : Type x}
structure is_continuous_linear_map' {k : Type u} {E : Type v} {F : Type w} [normed_field k] [normed_space k E] [normed_space k F] (L : E → F) extends is_linear_map L : Prop :=
(continuous : continuous L)
-- def is_continuous_linear_map' (L : E → F) := (is_linear_map L) ∧ (continuous L)
-- ways to combine is_continuous_linear_map' proofs
namespace is_continuous_linear_map'
variables [normed_field k] [normed_space k E] [normed_space k F] [normed_space k G]
variable {L : E → F}
include k
lemma zero : is_continuous_linear_map' (λ (x:E), (0:F)) :=
⟨is_linear_map.map_zero, continuous_const⟩
lemma id : is_continuous_linear_map' (id : E → E) :=
⟨is_linear_map.id, continuous_id⟩
-- Remark: smul and add should follow immediately from the fact that normed vectors spaces are topological vector spaces
-- this seems harder than its bounded counterpart (which is admittedly nontrivial)
lemma smul (c : k) (H : is_continuous_linear_map' L) : is_continuous_linear_map' (λ e, c•L e) := sorry
lemma neg (H : is_continuous_linear_map' L) :
is_continuous_linear_map' (λ e, -L e) :=
begin
rcases H with ⟨lin, cont⟩,
split,
{ exact is_linear_map.map_neg lin },
{ exact continuous_neg cont }
end
lemma add {L : E → F} {M : E → F} (HL : is_continuous_linear_map' L) (HM : is_continuous_linear_map' M) :
is_continuous_linear_map' (λ e, L e + M e) :=
begin
rcases HL with ⟨lin_L, cont_L⟩,
rcases HM with ⟨lin_M , cont_M⟩,
split,
{ exact is_linear_map.map_add lin_L lin_M },
{ exact continuous_add cont_L cont_M }
end
lemma sub {L : E → F} {M : E → F} (HL : is_continuous_linear_map' L) (HM : is_continuous_linear_map' M) :
is_continuous_linear_map' (λ e, L e - M e) := add HL (neg HM)
lemma comp {L : E → F} {M : F → G} (HL : is_continuous_linear_map' L) (HM : is_continuous_linear_map' M) : is_continuous_linear_map' (M ∘ L) :=
begin
rcases HL with ⟨lin_L, cont_L⟩,
rcases HM with ⟨lin_M, cont_M⟩,
split,
{ exact is_linear_map.comp lin_M lin_L },
{ exact continuous.comp cont_L cont_M }
end
end is_continuous_linear_map'
-- some holdover code about bounded linear maps. it will eventually be useful, but not currently used, because is_continuous_linear_map' is better
structure is_bounded_linear_map {k : Type u} {E : Type v} {F : Type w} [normed_field k] [normed_space k E] [normed_space k F] (L : E → F) extends is_linear_map L : Prop :=
(bounded : ∃ M > 0, ∀ x : E, ∥L x∥ ≤ M * ∥x∥)
namespace is_bounded_linear_map
variables [normed_field k] [normed_space k E] [normed_space k F] [normed_space k G]
include k
lemma continuous {L : E → F} (H : is_bounded_linear_map L) : continuous L :=
begin
rcases H with ⟨lin, M, Mpos, ineq⟩,
apply continuous_iff_tendsto.2,
intro x,
apply tendsto_iff_norm_tendsto_zero.2,
replace ineq := λ e, calc ∥L e - L x∥ = ∥L (e - x)∥ : by rw [←(lin.sub e x)]
... ≤ M*∥e-x∥ : ineq (e-x),
have lim1 : (λ (x:E), M) →_{x} M := tendsto_const_nhds,
have lim2 : (λ e, e-x) →_{x} 0 :=
begin
have limId := continuous_iff_tendsto.1 continuous_id x,
have limx : (λ (e : E), -x) →_{x} -x := tendsto_const_nhds,
have := tendsto_add limId limx,
simp at this,
simpa using this,
end,
replace lim2 := filter.tendsto.comp lim2 lim_norm_zero,
apply squeeze_zero,
{ simp[norm_nonneg] },
{ exact ineq },
{ simpa using tendsto_mul lim1 lim2 }
end
-- not sure why this fails now
lemma lim_zero_bounded_linear_map {L : E → F} (H : is_bounded_linear_map L) : (L →_{0} 0) :=
by simpa [H.left.zero] using continuous_iff_tendsto.1 H.continuous 0
end is_bounded_linear_map
-- Next lemma is stated for real normed space but it would work as soon as the base field is an extension of ℝ
lemma bounded_continuous_linear_map {E : Type*} [normed_space ℝ E] {F : Type*} [normed_space ℝ F] {L : E → F}
(h : is_continuous_linear_map' L) : is_bounded_linear_map L :=
begin
rcases h with ⟨lin, cont⟩,
split,
assumption,
replace cont := continuous_of_metric.1 cont 1 (by norm_num),
swap, exact 0,
rw[lin.zero] at cont,
rcases cont with ⟨δ, δ_pos, H⟩,
revert H,
repeat { conv in (_ < _ ) { rw norm_dist } },
intro H,
existsi (δ/2)⁻¹,
have half_δ_pos := half_pos δ_pos,
split,
exact (inv_pos half_δ_pos),
intro x,
by_cases h : x = 0,
{ simp [h, lin.zero] }, -- case x = 0
{ -- case x ≠ 0
have norm_x_pos : ∥x∥ > 0 := norm_pos_iff.2 h,
have norm_x : ∥x∥ ≠ 0 := mt norm_zero_iff_zero.1 h,
let p := ∥x∥*(δ/2)⁻¹,
have p_pos : p > 0 := mul_pos norm_x_pos (inv_pos $ half_δ_pos),
have p0 := ne_of_gt p_pos,
let q := (δ/2)*∥x∥⁻¹,
have q_pos : q > 0 := div_pos half_δ_pos norm_x_pos,
have q0 := ne_of_gt q_pos,
have triv := calc
p*q = ∥x∥*((δ/2)⁻¹*(δ/2))*∥x∥⁻¹ : by simp[mul_assoc]
... = 1 : by simp [(inv_mul_cancel $ ne_of_gt half_δ_pos), mul_inv_cancel norm_x],
have norm_calc := calc ∥q•x∥ = abs(q)*∥x∥ : by {rw norm_smul, refl}
... = q*∥x∥ : by rw [abs_of_nonneg $ le_of_lt q_pos]
... = δ/2 : by simp [mul_assoc, inv_mul_cancel norm_x]
... < δ : half_lt_self δ_pos,
exact calc
∥L x∥ = ∥L (1•x)∥: by simp
... = ∥L ((p*q)•x) ∥ : by {rw [←triv] }
... = ∥L (p•q•x) ∥ : by rw mul_smul
... = ∥p•L (q•x) ∥ : by rw lin.smul
... = abs(p)*∥L (q•x) ∥ : by { rw norm_smul, refl}
... = p*∥L (q•x) ∥ : by rw [abs_of_nonneg $ le_of_lt $ p_pos]
... ≤ p*1 : le_of_lt $ mul_lt_mul_of_pos_left (H norm_calc) p_pos
... = p : by simp
... = (δ/2)⁻¹*∥x∥ : by simp[mul_comm] }
end
/- Continuous Linear Maps -/
-- the following approach is based off that of poly in number_theory/dioph.lean, which also packages together functions with their proofs
-- for now, k is implicit
def clm {k : Type*} (E : Type*) (F : Type*) [normed_field k] [normed_space k E] [normed_space k F] := { L : E → F // is_continuous_linear_map' L }
-- TODO: I think clm should be a structure/class (what's the difference?) that extends linear_map (which isn't a structure/class...) and continuous (which also isn't a structure/class). perhaps it should just be coercible instead
namespace clm
variables [normed_field k] [normed_space k E] [normed_space k F] [normed_space k G]
include k
-- TODO: how to get multiplication notation?
-- we can treat a clm as a function
instance : has_coe_to_fun (clm E F) := ⟨_, λ L, L.1⟩
-- treat clm application as "multiplication" and give it the right space
-- Need it to be tupled so continuity makes sense naturally (could also use the approach in topological_structures.lean)
-- TODO: this feels really bad. The notation is always exposed. Need to find a better way
def clm_app_pair (p : (clm E F) × E) := p.1 p.2
local notation L `⬝`:70 v := clm_app_pair ⟨L, v⟩
@[simp] theorem clm_app_pair_eval (L : clm E F) (v) : (L⬝v) = L v := rfl
-- proof data
-- isc is short for is_clm
def isc (L : clm E F) : is_continuous_linear_map' L := L.2
-- functional extensionality
def ext {L M : clm E F} (e : ∀ v, L⬝v = M⬝v) : L = M :=
subtype.eq (funext e)
-- construct isc given function that is extensionally equal
def subst (L : clm E F) (M : E → F) (e : ∀ v, L⬝v = M v) : clm E F :=
-- TODO: I don't know how the proof part works
⟨M, by rw ← (funext e : coe_fn L = M); exact L.isc⟩
-- TODO: this rewrite rule doesn't typecheck!! (it was taken directly from poly unless I messed that up)
-- @[simp] theorem subst_eval (L M e v) : subst L M e v = M v := rfl
-- composition
-- TODO: this should probably be an instance
def clm_comp : clm E F → clm F G → clm E G := λ L M, ⟨λ v, M (L v), is_continuous_linear_map'.comp L.2 M.2⟩
local notation M `∘` L := clm_comp L M
-- each of the identities and operations comes with an instance that tells Lean what it is and a simplification lemma that gives Lean a hint about how to "evaluate" it
-- zero map
def zero : clm E F := ⟨λ v, 0, is_continuous_linear_map'.zero⟩
instance : has_zero (clm E F) := ⟨clm.zero⟩
@[simp] theorem zero_eval (v) : (0 : clm E F)⬝v = 0 := rfl
-- identity map
-- TODO: not sure if this is necessary or even desirable
def one : clm E E := ⟨λ v, v, is_continuous_linear_map'.id⟩
instance : has_one (clm E E) := ⟨clm.one⟩
@[simp] theorem one_eval (v) : (1 : clm E E)⬝v = v := rfl
def add : clm E F → clm E F → clm E F := λ L M, ⟨L + M, is_continuous_linear_map'.add L.isc M.isc⟩
instance : has_add (clm E F) := ⟨clm.add⟩
@[simp] theorem add_eval : Π (L M : clm E F) v, (L + M)⬝v = L⬝v + M⬝v
| ⟨L, pL⟩ ⟨M, pM⟩ v := rfl
def neg : clm E F → clm E F := λ L, ⟨λ v, -(L⬝v), is_continuous_linear_map'.neg L.isc⟩
instance : has_neg (clm E F) := ⟨clm.neg⟩
def sub : clm E F → clm E F → clm E F := λ L M, L + (-M)
instance : has_sub (clm E F) := ⟨clm.sub⟩
@[simp] theorem sub_eval : Π (L M : clm E F) v, (L - M)⬝v = L⬝v - M⬝v
| ⟨L, pL⟩ ⟨M, pM⟩ v := rfl
-- TODO: this proof doesn't work even though it does for poly
-- possibly b/c neg and sub are defined differently?
-- TODO: this feels weird being disconnected from neg
@[simp] theorem neg_eval (L : clm E F) (v) : (-L)⬝v = -(L⬝v) := sorry
-- show (0 - L) v = _, by simp
def smul : k → clm E F → clm E F := λ c L, ⟨λ v, c•(L⬝v), is_continuous_linear_map'.smul c L.isc⟩
instance : has_scalar k (clm E F) := ⟨clm.smul⟩
-- TODO: prove it
@[simp] theorem smul_eval : Π c (L : clm E F) v, (c•L)⬝v = c•(L⬝v) := sorry
-- need these instances up here to prove stuff about the op norm
-- TODO: go straight to module?
instance : add_comm_group (clm E F) := by refine
{
add := (+),
zero := 0,
neg := has_neg.neg,
..
};
{ intros; exact ext (λ v, by simp) }
-- TODO: use refine
instance : module k (clm E F) :=
{
smul := (•),
smul_add := by intros; exact ext (λ v, by simp [smul_add]),
add_smul := by intros; exact ext (λ v, by simp [add_smul]),
mul_smul := by intros; exact ext (λ v, by simp [mul_smul]),
one_smul := by intros; exact ext (λ v, by simp [one_smul]),
}
/- Operator Norm -/
-- TODO: this might be better in a different section, but we'll keep it here for now
-- TODO: leverage boundedness proof above to show that Inf has a value
-- TODO: big ops should make this easier to define (I think)
def op_norm : clm E F → ℝ := λ L, Inf { M : ℝ | M ≥ 0 ∧ ∀ v : E, ∥L⬝v∥ ≤ M * ∥v∥ }
-- TODO: implement has_norm
-- instance : has_norm (clm E F) := ⟨clm.op_norm⟩
-- an alternate version that allows for easier proofs
theorem op_norm_alt : ∀ L : clm E F, op_norm L = Sup { c : ℝ | ∃ v, ∥v∥ ≤ 1 ∧ ∥L⬝v∥ = c } := sorry
theorem op_norm_inhabited {L : clm E F} : (0:ℝ) ∈ { c : ℝ | ∃ v, ∥v∥ ≤ 1 ∧ ∥L⬝v∥ = c } :=
begin
existsi (0:E),
split,
simp [zero_le_one],
apply norm_zero_iff_zero.2,
-- follows from L being a linear map
end
-- TODO: uglier than it should be
theorem op_norm_nonneg {L : clm E F} : op_norm L ≥ 0 :=
begin
unfold op_norm ge,
apply real.lb_le_Inf,
-- bounded
{
simp,
have : is_bounded_linear_map L,
begin
-- TODO: I think what's going wrong here is I should have a companion proof that clms and blms are isomorphic
-- exact bounded_continuous_linear_map L.isc,
admit
end,
rcases this with ⟨linear, M, M_pos, M_bound⟩,
existsi _,
split,
apply le_of_lt,
assumption,
assumption
},
{
intro,
simp,
intros,
assumption
}
end
theorem op_norm_zero_iff_zero {L : clm E F} : op_norm L = 0 ↔ L = 0 :=
begin
split,
{
rw [op_norm_alt],
admit
},
admit
end
theorem op_norm_pos_homo : ∀ c (L : clm E F), op_norm (c•L) = ∥c∥ * op_norm L := sorry
theorem op_norm_triangle : ∀ (L M : clm E F), op_norm (L + M) ≤ op_norm L + op_norm M :=
begin
intros,
simp [op_norm_alt],
admit
end
-- TODO: is there a way to get the auto-induced metric from a norm without doing any work? Don't do this for now
def op_dist : clm E F → clm E F → ℝ := λ L M, op_norm (L - M)
theorem op_dist_self : ∀ x : clm E F, op_dist x x = 0 :=
begin
intros,
unfold op_dist,
apply op_norm_zero_iff_zero.2,
simp [add_left_neg]
end
theorem op_dist_eq_of_dist_eq_zero : ∀ (x y : clm E F), op_dist x y = 0 → x = y :=
begin
unfold op_dist,
intros x y h,
apply sub_eq_zero.1,
apply op_norm_zero_iff_zero.1,
assumption
end
-- TODO: clm is an instance of normed_space
theorem op_dist_comm : ∀ (x y : clm E F), op_dist x y = op_dist y x :=
begin
intros,
simp [op_dist, op_norm],
congr,
funext,
admit,
-- the propositions are the same by the pos_homo for the underlying norm
end
theorem op_dist_triangle : ∀ (x y z : clm E F), op_dist x z ≤ op_dist x y + op_dist y z :=
begin
intros,
unfold op_dist,
calc
op_norm (x - z) = op_norm ((x - y) + (y - z)) : by simp
... ≤ op_norm (x - y) + op_norm (y - z) : by apply op_norm_triangle
end
/- Continuous Linear Maps form a normed vector space. -/
-- This is crucial for differentiation.
-- TODO: solve
instance : metric_space (clm E F) :=
{
dist := op_dist,
dist_self := op_dist_self,
eq_of_dist_eq_zero := op_dist_eq_of_dist_eq_zero,
dist_comm := op_dist_comm,
dist_triangle := op_dist_triangle
}
instance : normed_space k (clm E F) :=
{
norm := op_norm,
dist_eq := by intros; refl,
norm_smul := op_norm_pos_homo
}
end clm
|
2c71e73bae039d8967926b48382f74d2bdb6839b | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/ring_theory/unique_factorization_domain.lean | c121ebee4c9cbaa194834af9ae1ff5b2c672a377 | [
"Apache-2.0"
] | permissive | AntoineChambert-Loir/mathlib | 64aabb896129885f12296a799818061bc90da1ff | 07be904260ab6e36a5769680b6012f03a4727134 | refs/heads/master | 1,693,187,631,771 | 1,636,719,886,000 | 1,636,719,886,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 56,594 | lean | /-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Jens Wagemaker, Aaron Anderson
-/
import algebra.gcd_monoid.basic
import ring_theory.integral_domain
import ring_theory.noetherian
/-!
# Unique factorization
## Main Definitions
* `wf_dvd_monoid` holds for `monoid`s for which a strict divisibility relation is
well-founded.
* `unique_factorization_monoid` holds for `wf_dvd_monoid`s where
`irreducible` is equivalent to `prime`
## To do
* set up the complete lattice structure on `factor_set`.
-/
variables {α : Type*}
local infix ` ~ᵤ ` : 50 := associated
/-- Well-foundedness of the strict version of |, which is equivalent to the descending chain
condition on divisibility and to the ascending chain condition on
principal ideals in an integral domain.
-/
class wf_dvd_monoid (α : Type*) [comm_monoid_with_zero α] : Prop :=
(well_founded_dvd_not_unit : well_founded (@dvd_not_unit α _))
export wf_dvd_monoid (well_founded_dvd_not_unit)
@[priority 100] -- see Note [lower instance priority]
instance is_noetherian_ring.wf_dvd_monoid [comm_ring α] [is_domain α] [is_noetherian_ring α] :
wf_dvd_monoid α :=
⟨by { convert inv_image.wf (λ a, ideal.span ({a} : set α)) (well_founded_submodule_gt _ _),
ext,
exact ideal.span_singleton_lt_span_singleton.symm }⟩
namespace wf_dvd_monoid
variables [comm_monoid_with_zero α]
open associates nat
theorem of_wf_dvd_monoid_associates (h : wf_dvd_monoid (associates α)): wf_dvd_monoid α :=
⟨begin
haveI := h,
refine (surjective.well_founded_iff mk_surjective _).2 wf_dvd_monoid.well_founded_dvd_not_unit,
intros, rw mk_dvd_not_unit_mk_iff
end⟩
variables [wf_dvd_monoid α]
instance wf_dvd_monoid_associates : wf_dvd_monoid (associates α) :=
⟨begin
refine (surjective.well_founded_iff mk_surjective _).1 wf_dvd_monoid.well_founded_dvd_not_unit,
intros, rw mk_dvd_not_unit_mk_iff
end⟩
theorem well_founded_associates : well_founded ((<) : associates α → associates α → Prop) :=
subrelation.wf (λ x y, dvd_not_unit_of_lt) wf_dvd_monoid.well_founded_dvd_not_unit
local attribute [elab_as_eliminator] well_founded.fix
lemma exists_irreducible_factor {a : α} (ha : ¬ is_unit a) (ha0 : a ≠ 0) :
∃ i, irreducible i ∧ i ∣ a :=
(irreducible_or_factor a ha).elim (λ hai, ⟨a, hai, dvd_rfl⟩)
(well_founded.fix
wf_dvd_monoid.well_founded_dvd_not_unit
(λ a ih ha ha0 ⟨x, y, hx, hy, hxy⟩,
have hx0 : x ≠ 0, from λ hx0, ha0 (by rw [← hxy, hx0, zero_mul]),
(irreducible_or_factor x hx).elim
(λ hxi, ⟨x, hxi, hxy ▸ by simp⟩)
(λ hxf, let ⟨i, hi⟩ := ih x ⟨hx0, y, hy, hxy.symm⟩ hx hx0 hxf in
⟨i, hi.1, hi.2.trans (hxy ▸ by simp)⟩)) a ha ha0)
@[elab_as_eliminator] lemma induction_on_irreducible {P : α → Prop} (a : α)
(h0 : P 0) (hu : ∀ u : α, is_unit u → P u)
(hi : ∀ a i : α, a ≠ 0 → irreducible i → P a → P (i * a)) :
P a :=
by haveI := classical.dec; exact
well_founded.fix wf_dvd_monoid.well_founded_dvd_not_unit
(λ a ih, if ha0 : a = 0 then ha0.symm ▸ h0
else if hau : is_unit a then hu a hau
else let ⟨i, hii, ⟨b, hb⟩⟩ := exists_irreducible_factor hau ha0 in
have hb0 : b ≠ 0, from λ hb0, by simp * at *,
hb.symm ▸ hi _ _ hb0 hii (ih _ ⟨hb0, i,
hii.1, by rw [hb, mul_comm]⟩))
a
lemma exists_factors (a : α) : a ≠ 0 →
∃f : multiset α, (∀b ∈ f, irreducible b) ∧ associated f.prod a :=
wf_dvd_monoid.induction_on_irreducible a
(λ h, (h rfl).elim)
(λ u hu _, ⟨0, ⟨by simp [hu], associated.symm (by simp [hu, associated_one_iff_is_unit])⟩⟩)
(λ a i ha0 hii ih hia0,
let ⟨s, hs⟩ := ih ha0 in
⟨i ::ₘ s, ⟨by clear _let_match; finish,
by { rw multiset.prod_cons,
exact hs.2.mul_left _ }⟩⟩)
end wf_dvd_monoid
theorem wf_dvd_monoid.of_well_founded_associates [comm_cancel_monoid_with_zero α]
(h : well_founded ((<) : associates α → associates α → Prop)) : wf_dvd_monoid α :=
wf_dvd_monoid.of_wf_dvd_monoid_associates
⟨by { convert h, ext, exact associates.dvd_not_unit_iff_lt }⟩
theorem wf_dvd_monoid.iff_well_founded_associates [comm_cancel_monoid_with_zero α] :
wf_dvd_monoid α ↔ well_founded ((<) : associates α → associates α → Prop) :=
⟨by apply wf_dvd_monoid.well_founded_associates, wf_dvd_monoid.of_well_founded_associates⟩
section prio
set_option default_priority 100 -- see Note [default priority]
/-- unique factorization monoids.
These are defined as `comm_cancel_monoid_with_zero`s with well-founded strict divisibility
relations, but this is equivalent to more familiar definitions:
Each element (except zero) is uniquely represented as a multiset of irreducible factors.
Uniqueness is only up to associated elements.
Each element (except zero) is non-uniquely represented as a multiset
of prime factors.
To define a UFD using the definition in terms of multisets
of irreducible factors, use the definition `of_exists_unique_irreducible_factors`
To define a UFD using the definition in terms of multisets
of prime factors, use the definition `of_exists_prime_factors`
-/
class unique_factorization_monoid (α : Type*) [comm_cancel_monoid_with_zero α]
extends wf_dvd_monoid α : Prop :=
(irreducible_iff_prime : ∀ {a : α}, irreducible a ↔ prime a)
/-- Can't be an instance because it would cause a loop `ufm → wf_dvd_monoid → ufm → ...`. -/
lemma ufm_of_gcd_of_wf_dvd_monoid [comm_cancel_monoid_with_zero α]
[wf_dvd_monoid α] [gcd_monoid α] : unique_factorization_monoid α :=
{ irreducible_iff_prime := λ _, gcd_monoid.irreducible_iff_prime
.. ‹wf_dvd_monoid α› }
instance associates.ufm [comm_cancel_monoid_with_zero α]
[unique_factorization_monoid α] : unique_factorization_monoid (associates α) :=
{ irreducible_iff_prime := by { rw ← associates.irreducible_iff_prime_iff,
apply unique_factorization_monoid.irreducible_iff_prime, }
.. (wf_dvd_monoid.wf_dvd_monoid_associates : wf_dvd_monoid (associates α)) }
end prio
namespace unique_factorization_monoid
variables [comm_cancel_monoid_with_zero α] [unique_factorization_monoid α]
theorem exists_prime_factors (a : α) : a ≠ 0 →
∃ f : multiset α, (∀b ∈ f, prime b) ∧ f.prod ~ᵤ a :=
by { simp_rw ← unique_factorization_monoid.irreducible_iff_prime,
apply wf_dvd_monoid.exists_factors a }
@[elab_as_eliminator] lemma induction_on_prime {P : α → Prop}
(a : α) (h₁ : P 0) (h₂ : ∀ x : α, is_unit x → P x)
(h₃ : ∀ a p : α, a ≠ 0 → prime p → P a → P (p * a)) : P a :=
begin
simp_rw ← unique_factorization_monoid.irreducible_iff_prime at h₃,
exact wf_dvd_monoid.induction_on_irreducible a h₁ h₂ h₃,
end
lemma factors_unique : ∀{f g : multiset α},
(∀x∈f, irreducible x) → (∀x∈g, irreducible x) → f.prod ~ᵤ g.prod →
multiset.rel associated f g :=
by haveI := classical.dec_eq α; exact
λ f, multiset.induction_on f
(λ g _ hg h,
multiset.rel_zero_left.2 $
multiset.eq_zero_of_forall_not_mem (λ x hx,
have is_unit g.prod, by simpa [associated_one_iff_is_unit] using h.symm,
(hg x hx).not_unit (is_unit_iff_dvd_one.2 ((multiset.dvd_prod hx).trans
(is_unit_iff_dvd_one.1 this)))))
(λ p f ih g hf hg hfg,
let ⟨b, hbg, hb⟩ := exists_associated_mem_of_dvd_prod
(irreducible_iff_prime.1 (hf p (by simp)))
(λ q hq, irreducible_iff_prime.1 (hg _ hq)) $
hfg.dvd_iff_dvd_right.1
(show p ∣ (p ::ₘ f).prod, by simp) in
begin
rw ← multiset.cons_erase hbg,
exact multiset.rel.cons hb (ih (λ q hq, hf _ (by simp [hq]))
(λ q (hq : q ∈ g.erase b), hg q (multiset.mem_of_mem_erase hq))
(associated.of_mul_left
(by rwa [← multiset.prod_cons, ← multiset.prod_cons, multiset.cons_erase hbg]) hb
(hf p (by simp)).ne_zero))
end)
end unique_factorization_monoid
lemma prime_factors_unique [comm_cancel_monoid_with_zero α] : ∀ {f g : multiset α},
(∀ x ∈ f, prime x) → (∀ x ∈ g, prime x) → f.prod ~ᵤ g.prod →
multiset.rel associated f g :=
by haveI := classical.dec_eq α; exact
λ f, multiset.induction_on f
(λ g _ hg h,
multiset.rel_zero_left.2 $
multiset.eq_zero_of_forall_not_mem $ λ x hx,
have is_unit g.prod, by simpa [associated_one_iff_is_unit] using h.symm,
(hg x hx).not_unit $ is_unit_iff_dvd_one.2 $
(multiset.dvd_prod hx).trans (is_unit_iff_dvd_one.1 this))
(λ p f ih g hf hg hfg,
let ⟨b, hbg, hb⟩ := exists_associated_mem_of_dvd_prod
(hf p (by simp)) (λ q hq, hg _ hq) $
hfg.dvd_iff_dvd_right.1
(show p ∣ (p ::ₘ f).prod, by simp) in
begin
rw ← multiset.cons_erase hbg,
exact multiset.rel.cons hb (ih (λ q hq, hf _ (by simp [hq]))
(λ q (hq : q ∈ g.erase b), hg q (multiset.mem_of_mem_erase hq))
(associated.of_mul_left
(by rwa [← multiset.prod_cons, ← multiset.prod_cons, multiset.cons_erase hbg]) hb
(hf p (by simp)).ne_zero)),
end)
/-- If an irreducible has a prime factorization,
then it is an associate of one of its prime factors. -/
lemma prime_factors_irreducible [comm_cancel_monoid_with_zero α] {a : α} {f : multiset α}
(ha : irreducible a) (pfa : (∀b ∈ f, prime b) ∧ f.prod ~ᵤ a) :
∃ p, a ~ᵤ p ∧ f = {p} :=
begin
haveI := classical.dec_eq α,
refine multiset.induction_on f (λ h, (ha.not_unit
(associated_one_iff_is_unit.1 (associated.symm h))).elim) _ pfa.2 pfa.1,
rintros p s _ ⟨u, hu⟩ hs,
use p,
have hs0 : s = 0,
{ by_contra hs0,
obtain ⟨q, hq⟩ := multiset.exists_mem_of_ne_zero hs0,
apply (hs q (by simp [hq])).2.1,
refine (ha.is_unit_or_is_unit (_ : _ = ((p * ↑u) * (s.erase q).prod) * _)).resolve_left _,
{ rw [mul_right_comm _ _ q, mul_assoc, ← multiset.prod_cons, multiset.cons_erase hq, ← hu,
mul_comm, mul_comm p _, mul_assoc],
simp, },
apply mt is_unit_of_mul_is_unit_left (mt is_unit_of_mul_is_unit_left _),
apply (hs p (multiset.mem_cons_self _ _)).2.1 },
simp only [mul_one, multiset.prod_cons, multiset.prod_zero, hs0] at *,
exact ⟨associated.symm ⟨u, hu⟩, rfl⟩,
end
section exists_prime_factors
variables [comm_cancel_monoid_with_zero α]
variables (pf : ∀ (a : α), a ≠ 0 → ∃ f : multiset α, (∀b ∈ f, prime b) ∧ f.prod ~ᵤ a)
include pf
lemma wf_dvd_monoid.of_exists_prime_factors : wf_dvd_monoid α :=
⟨begin
classical,
apply rel_hom.well_founded (rel_hom.mk _ _) (with_top.well_founded_lt nat.lt_wf),
{ intro a,
by_cases h : a = 0, { exact ⊤ },
exact (classical.some (pf a h)).card },
rintros a b ⟨ane0, ⟨c, hc, b_eq⟩⟩,
rw dif_neg ane0,
by_cases h : b = 0, { simp [h, lt_top_iff_ne_top] },
rw [dif_neg h, with_top.coe_lt_coe],
have cne0 : c ≠ 0, { refine mt (λ con, _) h, rw [b_eq, con, mul_zero] },
calc multiset.card (classical.some (pf a ane0))
< _ + multiset.card (classical.some (pf c cne0)) :
lt_add_of_pos_right _ (multiset.card_pos.mpr (λ con, hc (associated_one_iff_is_unit.mp _)))
... = multiset.card (classical.some (pf a ane0) + classical.some (pf c cne0)) :
(multiset.card_add _ _).symm
... = multiset.card (classical.some (pf b h)) :
multiset.card_eq_card_of_rel (prime_factors_unique _ (classical.some_spec (pf _ h)).1 _),
{ convert (classical.some_spec (pf c cne0)).2.symm,
rw [con, multiset.prod_zero] },
{ intros x hadd,
rw multiset.mem_add at hadd,
cases hadd; apply (classical.some_spec (pf _ _)).1 _ hadd },
{ rw multiset.prod_add,
transitivity a * c,
{ apply associated.mul_mul; apply (classical.some_spec (pf _ _)).2 },
{ rw ← b_eq,
apply (classical.some_spec (pf _ _)).2.symm, } }
end⟩
lemma irreducible_iff_prime_of_exists_prime_factors {p : α} : irreducible p ↔ prime p :=
begin
by_cases hp0 : p = 0,
{ simp [hp0] },
refine ⟨λ h, _, prime.irreducible⟩,
obtain ⟨f, hf⟩ := pf p hp0,
obtain ⟨q, hq, rfl⟩ := prime_factors_irreducible h hf,
rw hq.prime_iff,
exact hf.1 q (multiset.mem_singleton_self _)
end
theorem unique_factorization_monoid.of_exists_prime_factors :
unique_factorization_monoid α :=
{ irreducible_iff_prime := λ _, irreducible_iff_prime_of_exists_prime_factors pf,
.. wf_dvd_monoid.of_exists_prime_factors pf }
end exists_prime_factors
theorem unique_factorization_monoid.iff_exists_prime_factors [comm_cancel_monoid_with_zero α] :
unique_factorization_monoid α ↔
(∀ (a : α), a ≠ 0 → ∃ f : multiset α, (∀b ∈ f, prime b) ∧ f.prod ~ᵤ a) :=
⟨λ h, @unique_factorization_monoid.exists_prime_factors _ _ h,
unique_factorization_monoid.of_exists_prime_factors⟩
theorem irreducible_iff_prime_of_exists_unique_irreducible_factors [comm_cancel_monoid_with_zero α]
(eif : ∀ (a : α), a ≠ 0 → ∃ f : multiset α, (∀b ∈ f, irreducible b) ∧ f.prod ~ᵤ a)
(uif : ∀ (f g : multiset α),
(∀ x ∈ f, irreducible x) → (∀ x ∈ g, irreducible x) → f.prod ~ᵤ g.prod →
multiset.rel associated f g)
(p : α) : irreducible p ↔ prime p :=
⟨by letI := classical.dec_eq α; exact λ hpi,
⟨hpi.ne_zero, hpi.1,
λ a b ⟨x, hx⟩,
if hab0 : a * b = 0
then (eq_zero_or_eq_zero_of_mul_eq_zero hab0).elim
(λ ha0, by simp [ha0])
(λ hb0, by simp [hb0])
else
have hx0 : x ≠ 0, from λ hx0, by simp * at *,
have ha0 : a ≠ 0, from left_ne_zero_of_mul hab0,
have hb0 : b ≠ 0, from right_ne_zero_of_mul hab0,
begin
cases eif x hx0 with fx hfx,
cases eif a ha0 with fa hfa,
cases eif b hb0 with fb hfb,
have h : multiset.rel associated (p ::ₘ fx) (fa + fb),
{ apply uif,
{ exact λ i hi, (multiset.mem_cons.1 hi).elim (λ hip, hip.symm ▸ hpi) (hfx.1 _), },
{ exact λ i hi, (multiset.mem_add.1 hi).elim (hfa.1 _) (hfb.1 _), },
calc multiset.prod (p ::ₘ fx)
~ᵤ a * b : by rw [hx, multiset.prod_cons];
exact hfx.2.mul_left _
... ~ᵤ (fa).prod * (fb).prod :
hfa.2.symm.mul_mul hfb.2.symm
... = _ : by rw multiset.prod_add, },
exact let ⟨q, hqf, hq⟩ := multiset.exists_mem_of_rel_of_mem h
(multiset.mem_cons_self p _) in
(multiset.mem_add.1 hqf).elim
(λ hqa, or.inl $ hq.dvd_iff_dvd_left.2 $
hfa.2.dvd_iff_dvd_right.1
(multiset.dvd_prod hqa))
(λ hqb, or.inr $ hq.dvd_iff_dvd_left.2 $
hfb.2.dvd_iff_dvd_right.1
(multiset.dvd_prod hqb))
end⟩, prime.irreducible⟩
theorem unique_factorization_monoid.of_exists_unique_irreducible_factors
[comm_cancel_monoid_with_zero α]
(eif : ∀ (a : α), a ≠ 0 → ∃ f : multiset α, (∀b ∈ f, irreducible b) ∧ f.prod ~ᵤ a)
(uif : ∀ (f g : multiset α),
(∀ x ∈ f, irreducible x) → (∀ x ∈ g, irreducible x) → f.prod ~ᵤ g.prod →
multiset.rel associated f g) :
unique_factorization_monoid α :=
unique_factorization_monoid.of_exists_prime_factors (by
{ convert eif,
simp_rw irreducible_iff_prime_of_exists_unique_irreducible_factors eif uif })
namespace unique_factorization_monoid
variables [comm_cancel_monoid_with_zero α] [decidable_eq α]
variables [unique_factorization_monoid α]
/-- Noncomputably determines the multiset of prime factors. -/
noncomputable def factors (a : α) : multiset α := if h : a = 0 then 0 else
classical.some (unique_factorization_monoid.exists_prime_factors a h)
theorem factors_prod {a : α} (ane0 : a ≠ 0) : associated (factors a).prod a :=
begin
rw [factors, dif_neg ane0],
exact (classical.some_spec (exists_prime_factors a ane0)).2
end
theorem prime_of_factor {a : α} : ∀ (x : α), x ∈ factors a → prime x :=
begin
rw [factors],
split_ifs with ane0, { simp only [multiset.not_mem_zero, forall_false_left, forall_const] },
intros x hx,
exact (classical.some_spec (unique_factorization_monoid.exists_prime_factors a ane0)).1 x hx,
end
theorem irreducible_of_factor {a : α} : ∀ (x : α), x ∈ factors a → irreducible x :=
λ x h, (prime_of_factor x h).irreducible
lemma exists_mem_factors_of_dvd {a p : α} (ha0 : a ≠ 0) (hp : irreducible p) : p ∣ a →
∃ q ∈ factors a, p ~ᵤ q :=
λ ⟨b, hb⟩,
have hb0 : b ≠ 0, from λ hb0, by simp * at *,
have multiset.rel associated (p ::ₘ factors b) (factors a),
from factors_unique
(λ x hx, (multiset.mem_cons.1 hx).elim (λ h, h.symm ▸ hp) (irreducible_of_factor _))
irreducible_of_factor
(associated.symm $ calc multiset.prod (factors a) ~ᵤ a : factors_prod ha0
... = p * b : hb
... ~ᵤ multiset.prod (p ::ₘ factors b) :
by rw multiset.prod_cons; exact (factors_prod hb0).symm.mul_left _),
multiset.exists_mem_of_rel_of_mem this (by simp)
end unique_factorization_monoid
namespace unique_factorization_monoid
variables [comm_cancel_monoid_with_zero α] [decidable_eq α] [normalization_monoid α]
variables [unique_factorization_monoid α]
/-- Noncomputably determines the multiset of prime factors. -/
noncomputable def normalized_factors (a : α) : multiset α :=
multiset.map normalize $ factors a
theorem normalized_factors_prod {a : α} (ane0 : a ≠ 0) : associated (normalized_factors a).prod a :=
begin
rw [normalized_factors, factors, dif_neg ane0],
refine associated.trans _ (classical.some_spec (exists_prime_factors a ane0)).2,
rw [← associates.mk_eq_mk_iff_associated, ← associates.prod_mk, ← associates.prod_mk,
multiset.map_map],
congr' 2,
ext,
rw [function.comp_apply, associates.mk_normalize],
end
theorem prime_of_normalized_factor {a : α} : ∀ (x : α), x ∈ normalized_factors a → prime x :=
begin
rw [normalized_factors, factors],
split_ifs with ane0, { simp },
intros x hx, rcases multiset.mem_map.1 hx with ⟨y, ⟨hy, rfl⟩⟩,
rw (normalize_associated _).prime_iff,
exact (classical.some_spec (unique_factorization_monoid.exists_prime_factors a ane0)).1 y hy,
end
theorem irreducible_of_normalized_factor {a : α} :
∀ (x : α), x ∈ normalized_factors a → irreducible x :=
λ x h, (prime_of_normalized_factor x h).irreducible
theorem normalize_normalized_factor {a : α} :
∀ (x : α), x ∈ normalized_factors a → normalize x = x :=
begin
rw [normalized_factors, factors],
split_ifs with h, { simp },
intros x hx,
obtain ⟨y, hy, rfl⟩ := multiset.mem_map.1 hx,
apply normalize_idem
end
lemma normalized_factors_irreducible {a : α} (ha : irreducible a) :
normalized_factors a = {normalize a} :=
begin
obtain ⟨p, a_assoc, hp⟩ := prime_factors_irreducible ha
⟨prime_of_normalized_factor, normalized_factors_prod ha.ne_zero⟩,
have p_mem : p ∈ normalized_factors a,
{ rw hp, exact multiset.mem_singleton_self _ },
convert hp,
rwa [← normalize_normalized_factor p p_mem, normalize_eq_normalize_iff, dvd_dvd_iff_associated]
end
lemma exists_mem_normalized_factors_of_dvd {a p : α} (ha0 : a ≠ 0) (hp : irreducible p) : p ∣ a →
∃ q ∈ normalized_factors a, p ~ᵤ q :=
λ ⟨b, hb⟩,
have hb0 : b ≠ 0, from λ hb0, by simp * at *,
have multiset.rel associated (p ::ₘ normalized_factors b) (normalized_factors a),
from factors_unique
(λ x hx, (multiset.mem_cons.1 hx).elim (λ h, h.symm ▸ hp)
(irreducible_of_normalized_factor _))
irreducible_of_normalized_factor
(associated.symm $ calc multiset.prod (normalized_factors a) ~ᵤ a : normalized_factors_prod ha0
... = p * b : hb
... ~ᵤ multiset.prod (p ::ₘ normalized_factors b) :
by rw multiset.prod_cons; exact (normalized_factors_prod hb0).symm.mul_left _),
multiset.exists_mem_of_rel_of_mem this (by simp)
@[simp] lemma normalized_factors_zero : normalized_factors (0 : α) = 0 :=
by simp [normalized_factors, factors]
@[simp] lemma normalized_factors_one : normalized_factors (1 : α) = 0 :=
begin
nontriviality α using [normalized_factors, factors],
rw ← multiset.rel_zero_right,
apply factors_unique irreducible_of_normalized_factor,
{ intros x hx,
exfalso,
apply multiset.not_mem_zero x hx },
{ simp [normalized_factors_prod (@one_ne_zero α _ _)] },
apply_instance
end
@[simp] lemma normalized_factors_mul {x y : α} (hx : x ≠ 0) (hy : y ≠ 0) :
normalized_factors (x * y) = normalized_factors x + normalized_factors y :=
begin
have h : (normalize : α → α) = associates.out ∘ associates.mk,
{ ext, rw [function.comp_apply, associates.out_mk], },
rw [← multiset.map_id' (normalized_factors (x * y)), ← multiset.map_id' (normalized_factors x),
← multiset.map_id' (normalized_factors y), ← multiset.map_congr normalize_normalized_factor,
← multiset.map_congr normalize_normalized_factor,
← multiset.map_congr normalize_normalized_factor,
← multiset.map_add, h, ← multiset.map_map associates.out, eq_comm,
← multiset.map_map associates.out],
refine congr rfl _,
apply multiset.map_mk_eq_map_mk_of_rel,
apply factors_unique,
{ intros x hx,
rcases multiset.mem_add.1 hx with hx | hx;
exact irreducible_of_normalized_factor x hx },
{ exact irreducible_of_normalized_factor },
{ rw multiset.prod_add,
exact ((normalized_factors_prod hx).mul_mul (normalized_factors_prod hy)).trans
(normalized_factors_prod (mul_ne_zero hx hy)).symm }
end
@[simp] lemma normalized_factors_pow {x : α} (n : ℕ) :
normalized_factors (x ^ n) = n • normalized_factors x :=
begin
induction n with n ih,
{ simp },
by_cases h0 : x = 0,
{ simp [h0, zero_pow n.succ_pos, smul_zero] },
rw [pow_succ, succ_nsmul, normalized_factors_mul h0 (pow_ne_zero _ h0), ih],
end
lemma dvd_iff_normalized_factors_le_normalized_factors {x y : α} (hx : x ≠ 0) (hy : y ≠ 0) :
x ∣ y ↔ normalized_factors x ≤ normalized_factors y :=
begin
split,
{ rintro ⟨c, rfl⟩,
simp [hx, right_ne_zero_of_mul hy] },
{ rw [← (normalized_factors_prod hx).dvd_iff_dvd_left,
← (normalized_factors_prod hy).dvd_iff_dvd_right],
apply multiset.prod_dvd_prod }
end
lemma zero_not_mem_normalized_factors (x : α) : (0 : α) ∉ normalized_factors x :=
λ h, prime.ne_zero (prime_of_normalized_factor _ h) rfl
lemma dvd_of_mem_normalized_factors {a p : α} (H : p ∈ normalized_factors a) : p ∣ a :=
begin
by_cases hcases : a = 0,
{ rw hcases,
exact dvd_zero p },
{ exact dvd_trans (multiset.dvd_prod H) (associated.dvd (normalized_factors_prod hcases)) },
end
end unique_factorization_monoid
namespace unique_factorization_monoid
open_locale classical
open multiset associates
noncomputable theory
variables [comm_cancel_monoid_with_zero α] [nontrivial α] [unique_factorization_monoid α]
/-- Noncomputably defines a `normalization_monoid` structure on a `unique_factorization_monoid`. -/
protected def normalization_monoid : normalization_monoid α :=
normalization_monoid_of_monoid_hom_right_inverse {
to_fun := λ a : associates α, if a = 0 then 0 else ((normalized_factors a).map
(classical.some mk_surjective.has_right_inverse : associates α → α)).prod,
map_one' := by simp,
map_mul' := λ x y, by {
by_cases hx : x = 0, { simp [hx] },
by_cases hy : y = 0, { simp [hy] },
simp [hx, hy] } } begin
intro x,
dsimp,
by_cases hx : x = 0, { simp [hx] },
have h : associates.mk_monoid_hom ∘ (classical.some mk_surjective.has_right_inverse) =
(id : associates α → associates α),
{ ext x,
rw [function.comp_apply, mk_monoid_hom_apply,
classical.some_spec mk_surjective.has_right_inverse x],
refl },
rw [if_neg hx, ← mk_monoid_hom_apply, monoid_hom.map_multiset_prod, map_map, h, map_id,
← associated_iff_eq],
apply normalized_factors_prod hx
end
instance : inhabited (normalization_monoid α) := ⟨unique_factorization_monoid.normalization_monoid⟩
end unique_factorization_monoid
namespace unique_factorization_monoid
variables {R : Type*} [comm_cancel_monoid_with_zero R] [unique_factorization_monoid R]
lemma no_factors_of_no_prime_factors {a b : R} (ha : a ≠ 0)
(h : (∀ {d}, d ∣ a → d ∣ b → ¬ prime d)) : ∀ {d}, d ∣ a → d ∣ b → is_unit d :=
λ d, induction_on_prime d
(by { simp only [zero_dvd_iff], intros, contradiction })
(λ x hx _ _, hx)
(λ d q hp hq ih dvd_a dvd_b,
absurd hq (h (dvd_of_mul_right_dvd dvd_a) (dvd_of_mul_right_dvd dvd_b)))
/-- Euclid's lemma: if `a ∣ b * c` and `a` and `c` have no common prime factors, `a ∣ b`.
Compare `is_coprime.dvd_of_dvd_mul_left`. -/
lemma dvd_of_dvd_mul_left_of_no_prime_factors {a b c : R} (ha : a ≠ 0) :
(∀ {d}, d ∣ a → d ∣ c → ¬ prime d) → a ∣ b * c → a ∣ b :=
begin
refine induction_on_prime c _ _ _,
{ intro no_factors,
simp only [dvd_zero, mul_zero, forall_prop_of_true],
haveI := classical.prop_decidable,
exact is_unit_iff_forall_dvd.mp
(no_factors_of_no_prime_factors ha @no_factors (dvd_refl a) (dvd_zero a)) _ },
{ rintros _ ⟨x, rfl⟩ _ a_dvd_bx,
apply units.dvd_mul_right.mp a_dvd_bx },
{ intros c p hc hp ih no_factors a_dvd_bpc,
apply ih (λ q dvd_a dvd_c hq, no_factors dvd_a (dvd_c.mul_left _) hq),
rw mul_left_comm at a_dvd_bpc,
refine or.resolve_left (hp.left_dvd_or_dvd_right_of_dvd_mul a_dvd_bpc) (λ h, _),
exact no_factors h (dvd_mul_right p c) hp }
end
/-- Euclid's lemma: if `a ∣ b * c` and `a` and `b` have no common prime factors, `a ∣ c`.
Compare `is_coprime.dvd_of_dvd_mul_right`. -/
lemma dvd_of_dvd_mul_right_of_no_prime_factors {a b c : R} (ha : a ≠ 0)
(no_factors : ∀ {d}, d ∣ a → d ∣ b → ¬ prime d) : a ∣ b * c → a ∣ c :=
by simpa [mul_comm b c] using dvd_of_dvd_mul_left_of_no_prime_factors ha @no_factors
/-- If `a ≠ 0, b` are elements of a unique factorization domain, then dividing
out their common factor `c'` gives `a'` and `b'` with no factors in common. -/
lemma exists_reduced_factors : ∀ (a ≠ (0 : R)) b,
∃ a' b' c', (∀ {d}, d ∣ a' → d ∣ b' → is_unit d) ∧ c' * a' = a ∧ c' * b' = b :=
begin
haveI := classical.prop_decidable,
intros a,
refine induction_on_prime a _ _ _,
{ intros, contradiction },
{ intros a a_unit a_ne_zero b,
use [a, b, 1],
split,
{ intros p p_dvd_a _,
exact is_unit_of_dvd_unit p_dvd_a a_unit },
{ simp } },
{ intros a p a_ne_zero p_prime ih_a pa_ne_zero b,
by_cases p ∣ b,
{ rcases h with ⟨b, rfl⟩,
obtain ⟨a', b', c', no_factor, ha', hb'⟩ := ih_a a_ne_zero b,
refine ⟨a', b', p * c', @no_factor, _, _⟩,
{ rw [mul_assoc, ha'] },
{ rw [mul_assoc, hb'] } },
{ obtain ⟨a', b', c', coprime, rfl, rfl⟩ := ih_a a_ne_zero b,
refine ⟨p * a', b', c', _, mul_left_comm _ _ _, rfl⟩,
intros q q_dvd_pa' q_dvd_b',
cases p_prime.left_dvd_or_dvd_right_of_dvd_mul q_dvd_pa' with p_dvd_q q_dvd_a',
{ have : p ∣ c' * b' := dvd_mul_of_dvd_right (p_dvd_q.trans q_dvd_b') _,
contradiction },
exact coprime q_dvd_a' q_dvd_b' } }
end
lemma exists_reduced_factors' (a b : R) (hb : b ≠ 0) :
∃ a' b' c', (∀ {d}, d ∣ a' → d ∣ b' → is_unit d) ∧ c' * a' = a ∧ c' * b' = b :=
let ⟨b', a', c', no_factor, hb, ha⟩ := exists_reduced_factors b hb a
in ⟨a', b', c', λ _ hpb hpa, no_factor hpa hpb, ha, hb⟩
section multiplicity
variables [nontrivial R] [normalization_monoid R] [decidable_eq R]
variables [decidable_rel (has_dvd.dvd : R → R → Prop)]
open multiplicity multiset
lemma le_multiplicity_iff_repeat_le_normalized_factors {a b : R} {n : ℕ}
(ha : irreducible a) (hb : b ≠ 0) :
↑n ≤ multiplicity a b ↔ repeat (normalize a) n ≤ normalized_factors b :=
begin
rw ← pow_dvd_iff_le_multiplicity,
revert b,
induction n with n ih, { simp },
intros b hb,
split,
{ rintro ⟨c, rfl⟩,
rw [ne.def, pow_succ, mul_assoc, mul_eq_zero, decidable.not_or_iff_and_not] at hb,
rw [pow_succ, mul_assoc, normalized_factors_mul hb.1 hb.2, repeat_succ,
normalized_factors_irreducible ha, singleton_add, cons_le_cons_iff, ← ih hb.2],
apply dvd.intro _ rfl },
{ rw [multiset.le_iff_exists_add],
rintro ⟨u, hu⟩,
rw [← (normalized_factors_prod hb).dvd_iff_dvd_right, hu, prod_add, prod_repeat],
exact (associated.pow_pow $ associated_normalize a).dvd.trans (dvd.intro u.prod rfl) }
end
lemma multiplicity_eq_count_normalized_factors {a b : R} (ha : irreducible a) (hb : b ≠ 0) :
multiplicity a b = (normalized_factors b).count (normalize a) :=
begin
apply le_antisymm,
{ apply enat.le_of_lt_add_one,
rw [← nat.cast_one, ← nat.cast_add, lt_iff_not_ge, ge_iff_le,
le_multiplicity_iff_repeat_le_normalized_factors ha hb, ← le_count_iff_repeat_le],
simp },
rw [le_multiplicity_iff_repeat_le_normalized_factors ha hb, ← le_count_iff_repeat_le],
end
end multiplicity
end unique_factorization_monoid
namespace associates
open unique_factorization_monoid associated multiset
variables [comm_cancel_monoid_with_zero α]
/-- `factor_set α` representation elements of unique factorization domain as multisets.
`multiset α` produced by `normalized_factors` are only unique up to associated elements, while the
multisets in `factor_set α` are unique by equality and restricted to irreducible elements. This
gives us a representation of each element as a unique multisets (or the added ⊤ for 0), which has a
complete lattice struture. Infimum is the greatest common divisor and supremum is the least common
multiple.
-/
@[reducible] def {u} factor_set (α : Type u) [comm_cancel_monoid_with_zero α] :
Type u :=
with_top (multiset { a : associates α // irreducible a })
local attribute [instance] associated.setoid
theorem factor_set.coe_add {a b : multiset { a : associates α // irreducible a }} :
(↑(a + b) : factor_set α) = a + b :=
by norm_cast
lemma factor_set.sup_add_inf_eq_add [decidable_eq (associates α)] :
∀(a b : factor_set α), a ⊔ b + a ⊓ b = a + b
| none b := show ⊤ ⊔ b + ⊤ ⊓ b = ⊤ + b, by simp
| a none := show a ⊔ ⊤ + a ⊓ ⊤ = a + ⊤, by simp
| (some a) (some b) := show (a : factor_set α) ⊔ b + a ⊓ b = a + b, from
begin
rw [← with_top.coe_sup, ← with_top.coe_inf, ← with_top.coe_add, ← with_top.coe_add,
with_top.coe_eq_coe],
exact multiset.union_add_inter _ _
end
/-- Evaluates the product of a `factor_set` to be the product of the corresponding multiset,
or `0` if there is none. -/
def factor_set.prod : factor_set α → associates α
| none := 0
| (some s) := (s.map coe).prod
@[simp] theorem prod_top : (⊤ : factor_set α).prod = 0 := rfl
@[simp] theorem prod_coe {s : multiset { a : associates α // irreducible a }} :
(s : factor_set α).prod = (s.map coe).prod :=
rfl
@[simp] theorem prod_add : ∀(a b : factor_set α), (a + b).prod = a.prod * b.prod
| none b := show (⊤ + b).prod = (⊤:factor_set α).prod * b.prod, by simp
| a none := show (a + ⊤).prod = a.prod * (⊤:factor_set α).prod, by simp
| (some a) (some b) :=
show (↑a + ↑b:factor_set α).prod = (↑a:factor_set α).prod * (↑b:factor_set α).prod,
by rw [← factor_set.coe_add, prod_coe, prod_coe, prod_coe, multiset.map_add, multiset.prod_add]
theorem prod_mono : ∀{a b : factor_set α}, a ≤ b → a.prod ≤ b.prod
| none b h := have b = ⊤, from top_unique h, by rw [this, prod_top]; exact le_refl _
| a none h := show a.prod ≤ (⊤ : factor_set α).prod, by simp; exact le_top
| (some a) (some b) h := prod_le_prod $ multiset.map_le_map $ with_top.coe_le_coe.1 $ h
theorem factor_set.prod_eq_zero_iff [nontrivial α] (p : factor_set α) :
p.prod = 0 ↔ p = ⊤ :=
begin
induction p using with_top.rec_top_coe,
{ simp only [iff_self, eq_self_iff_true, associates.prod_top] },
simp only [prod_coe, with_top.coe_ne_top, iff_false, prod_eq_zero_iff, multiset.mem_map],
rintro ⟨⟨a, ha⟩, -, eq⟩,
rw [subtype.coe_mk] at eq,
exact ha.ne_zero eq,
end
/-- `bcount p s` is the multiplicity of `p` in the factor_set `s` (with bundled `p`)-/
def bcount [decidable_eq (associates α)] (p : {a : associates α // irreducible a}) :
factor_set α → ℕ
| none := 0
| (some s) := s.count p
variables [dec_irr : Π (p : associates α), decidable (irreducible p)]
include dec_irr
/-- `count p s` is the multiplicity of the irreducible `p` in the factor_set `s`.
If `p` is not irreducible, `count p s` is defined to be `0`. -/
def count [decidable_eq (associates α)] (p : associates α) :
factor_set α → ℕ :=
if hp : irreducible p then bcount ⟨p, hp⟩ else 0
@[simp] lemma count_some [decidable_eq (associates α)] {p : associates α} (hp : irreducible p)
(s : multiset _) : count p (some s) = s.count ⟨p, hp⟩:=
by { dunfold count, split_ifs, refl }
@[simp] lemma count_zero [decidable_eq (associates α)] {p : associates α} (hp : irreducible p) :
count p (0 : factor_set α) = 0 :=
by { dunfold count, split_ifs, refl }
lemma count_reducible [decidable_eq (associates α)] {p : associates α} (hp : ¬ irreducible p) :
count p = 0 := dif_neg hp
omit dec_irr
/-- membership in a factor_set (bundled version) -/
def bfactor_set_mem : {a : associates α // irreducible a} → (factor_set α) → Prop
| _ ⊤ := true
| p (some l) := p ∈ l
include dec_irr
/-- `factor_set_mem p s` is the predicate that the irreducible `p` is a member of
`s : factor_set α`.
If `p` is not irreducible, `p` is not a member of any `factor_set`. -/
def factor_set_mem (p : associates α) (s : factor_set α) : Prop :=
if hp : irreducible p then bfactor_set_mem ⟨p, hp⟩ s else false
instance : has_mem (associates α) (factor_set α) := ⟨factor_set_mem⟩
@[simp] lemma factor_set_mem_eq_mem (p : associates α) (s : factor_set α) :
factor_set_mem p s = (p ∈ s) := rfl
lemma mem_factor_set_top {p : associates α} {hp : irreducible p} :
p ∈ (⊤ : factor_set α) :=
begin
dunfold has_mem.mem, dunfold factor_set_mem, split_ifs, exact trivial
end
lemma mem_factor_set_some {p : associates α} {hp : irreducible p}
{l : multiset {a : associates α // irreducible a }} :
p ∈ (l : factor_set α) ↔ subtype.mk p hp ∈ l :=
begin
dunfold has_mem.mem, dunfold factor_set_mem, split_ifs, refl
end
lemma reducible_not_mem_factor_set {p : associates α} (hp : ¬ irreducible p)
(s : factor_set α) : ¬ p ∈ s :=
λ (h : if hp : irreducible p then bfactor_set_mem ⟨p, hp⟩ s else false),
by rwa [dif_neg hp] at h
omit dec_irr
variable [unique_factorization_monoid α]
theorem unique' {p q : multiset (associates α)} :
(∀a∈p, irreducible a) → (∀a∈q, irreducible a) → p.prod = q.prod → p = q :=
begin
apply multiset.induction_on_multiset_quot p,
apply multiset.induction_on_multiset_quot q,
assume s t hs ht eq,
refine multiset.map_mk_eq_map_mk_of_rel (unique_factorization_monoid.factors_unique _ _ _),
{ exact assume a ha, ((irreducible_mk _).1 $ hs _ $ multiset.mem_map_of_mem _ ha) },
{ exact assume a ha, ((irreducible_mk _).1 $ ht _ $ multiset.mem_map_of_mem _ ha) },
simpa [quot_mk_eq_mk, prod_mk, mk_eq_mk_iff_associated] using eq
end
theorem factor_set.unique [nontrivial α] {p q : factor_set α} (h : p.prod = q.prod) : p = q :=
begin
induction p using with_top.rec_top_coe;
induction q using with_top.rec_top_coe,
{ refl },
{ rw [eq_comm, ←factor_set.prod_eq_zero_iff, ←h, associates.prod_top] },
{ rw [←factor_set.prod_eq_zero_iff, h, associates.prod_top] },
{ congr' 1,
rw ←multiset.map_eq_map subtype.coe_injective,
apply unique' _ _ h;
{ intros a ha,
obtain ⟨⟨a', irred⟩, -, rfl⟩ := multiset.mem_map.mp ha,
rwa [subtype.coe_mk] } },
end
theorem prod_le_prod_iff_le [nontrivial α] {p q : multiset (associates α)}
(hp : ∀a∈p, irreducible a) (hq : ∀a∈q, irreducible a) :
p.prod ≤ q.prod ↔ p ≤ q :=
iff.intro
begin
classical,
rintros ⟨c, eqc⟩,
refine multiset.le_iff_exists_add.2 ⟨factors c, unique' hq (λ x hx, _) _⟩,
{ obtain h|h := multiset.mem_add.1 hx,
{ exact hp x h },
{ exact irreducible_of_factor _ h } },
{ rw [eqc, multiset.prod_add],
congr,
refine associated_iff_eq.mp (factors_prod (λ hc, _)).symm,
refine not_irreducible_zero (hq _ _),
rw [←prod_eq_zero_iff, eqc, hc, mul_zero] }
end
prod_le_prod
variables [dec : decidable_eq α] [dec' : decidable_eq (associates α)]
include dec
/-- This returns the multiset of irreducible factors as a `factor_set`,
a multiset of irreducible associates `with_top`. -/
noncomputable def factors' (a : α) :
multiset { a : associates α // irreducible a } :=
(factors a).pmap (λa ha, ⟨associates.mk a, (irreducible_mk _).2 ha⟩)
(irreducible_of_factor)
@[simp] theorem map_subtype_coe_factors' {a : α} :
(factors' a).map coe = (factors a).map associates.mk :=
by simp [factors', multiset.map_pmap, multiset.pmap_eq_map]
theorem factors'_cong {a b : α} (h : a ~ᵤ b) :
factors' a = factors' b :=
begin
obtain rfl|hb := eq_or_ne b 0,
{ rw associated_zero_iff_eq_zero at h, rw h },
have ha : a ≠ 0,
{ contrapose! hb with ha,
rw [←associated_zero_iff_eq_zero, ←ha],
exact h.symm },
rw [←multiset.map_eq_map subtype.coe_injective, map_subtype_coe_factors',
map_subtype_coe_factors', ←rel_associated_iff_map_eq_map],
exact factors_unique irreducible_of_factor irreducible_of_factor
((factors_prod ha).trans $ h.trans $ (factors_prod hb).symm),
end
include dec'
/-- This returns the multiset of irreducible factors of an associate as a `factor_set`,
a multiset of irreducible associates `with_top`. -/
noncomputable def factors (a : associates α) :
factor_set α :=
begin
refine (if h : a = 0 then ⊤ else
quotient.hrec_on a (λx h, some $ factors' x) _ h),
assume a b hab,
apply function.hfunext,
{ have : a ~ᵤ 0 ↔ b ~ᵤ 0, from
iff.intro (assume ha0, hab.symm.trans ha0) (assume hb0, hab.trans hb0),
simp only [associated_zero_iff_eq_zero] at this,
simp only [quotient_mk_eq_mk, this, mk_eq_zero] },
exact (assume ha hb eq, heq_of_eq $ congr_arg some $ factors'_cong hab)
end
@[simp] theorem factors_0 : (0 : associates α).factors = ⊤ :=
dif_pos rfl
@[simp] theorem factors_mk (a : α) (h : a ≠ 0) :
(associates.mk a).factors = factors' a :=
by { classical, apply dif_neg, apply (mt mk_eq_zero.1 h) }
@[simp]
theorem factors_prod (a : associates α) : a.factors.prod = a :=
quotient.induction_on a $ assume a, decidable.by_cases
(assume : associates.mk a = 0, by simp [quotient_mk_eq_mk, this])
(assume : associates.mk a ≠ 0,
have a ≠ 0, by simp * at *,
by simp [this, quotient_mk_eq_mk, prod_mk,
mk_eq_mk_iff_associated.2 (factors_prod this)])
theorem prod_factors [nontrivial α] (s : factor_set α) : s.prod.factors = s :=
factor_set.unique $ factors_prod _
theorem eq_of_factors_eq_factors {a b : associates α} (h : a.factors = b.factors) : a = b :=
have a.factors.prod = b.factors.prod, by rw h,
by rwa [factors_prod, factors_prod] at this
omit dec dec'
theorem eq_of_prod_eq_prod [nontrivial α] {a b : factor_set α} (h : a.prod = b.prod) : a = b :=
begin
classical,
have : a.prod.factors = b.prod.factors, by rw h,
rwa [prod_factors, prod_factors] at this
end
include dec dec'
@[simp] theorem factors_mul [nontrivial α] (a b : associates α) :
(a * b).factors = a.factors + b.factors :=
eq_of_prod_eq_prod $ eq_of_factors_eq_factors $
by rw [prod_add, factors_prod, factors_prod, factors_prod]
theorem factors_mono [nontrivial α] : ∀{a b : associates α}, a ≤ b → a.factors ≤ b.factors
| s t ⟨d, rfl⟩ := by rw [factors_mul] ; exact le_add_of_nonneg_right bot_le
theorem factors_le [nontrivial α] {a b : associates α} : a.factors ≤ b.factors ↔ a ≤ b :=
iff.intro
(assume h, have a.factors.prod ≤ b.factors.prod, from prod_mono h,
by rwa [factors_prod, factors_prod] at this)
factors_mono
omit dec dec'
theorem prod_le [nontrivial α] {a b : factor_set α} : a.prod ≤ b.prod ↔ a ≤ b :=
begin
classical,
exact iff.intro
(assume h, have a.prod.factors ≤ b.prod.factors, from factors_mono h,
by rwa [prod_factors, prod_factors] at this)
prod_mono
end
include dec dec'
noncomputable instance : has_sup (associates α) := ⟨λa b, (a.factors ⊔ b.factors).prod⟩
noncomputable instance : has_inf (associates α) := ⟨λa b, (a.factors ⊓ b.factors).prod⟩
noncomputable instance [nontrivial α] : bounded_lattice (associates α) :=
{ sup := (⊔),
inf := (⊓),
sup_le :=
assume a b c hac hbc, factors_prod c ▸ prod_mono (sup_le (factors_mono hac) (factors_mono hbc)),
le_sup_left := assume a b,
le_trans (le_of_eq (factors_prod a).symm) $ prod_mono $ le_sup_left,
le_sup_right := assume a b,
le_trans (le_of_eq (factors_prod b).symm) $ prod_mono $ le_sup_right,
le_inf :=
assume a b c hac hbc, factors_prod a ▸ prod_mono (le_inf (factors_mono hac) (factors_mono hbc)),
inf_le_left := assume a b,
le_trans (prod_mono inf_le_left) (le_of_eq (factors_prod a)),
inf_le_right := assume a b,
le_trans (prod_mono inf_le_right) (le_of_eq (factors_prod b)),
.. associates.partial_order,
.. associates.order_top,
.. associates.order_bot }
lemma sup_mul_inf [nontrivial α] (a b : associates α) : (a ⊔ b) * (a ⊓ b) = a * b :=
show (a.factors ⊔ b.factors).prod * (a.factors ⊓ b.factors).prod = a * b,
begin
refine eq_of_factors_eq_factors _,
rw [← prod_add, prod_factors, factors_mul, factor_set.sup_add_inf_eq_add]
end
include dec_irr
lemma dvd_of_mem_factors {a p : associates α} {hp : irreducible p}
(hm : p ∈ factors a) : p ∣ a :=
begin
by_cases ha0 : a = 0, { rw ha0, exact dvd_zero p },
obtain ⟨a0, nza, ha'⟩ := exists_non_zero_rep ha0,
rw [← associates.factors_prod a],
rw [← ha', factors_mk a0 nza] at hm ⊢,
erw prod_coe,
apply multiset.dvd_prod, apply multiset.mem_map.mpr,
exact ⟨⟨p, hp⟩, mem_factor_set_some.mp hm, rfl⟩
end
omit dec'
lemma dvd_of_mem_factors' {a : α} {p : associates α} {hp : irreducible p} {hz : a ≠ 0}
(h_mem : subtype.mk p hp ∈ factors' a) : p ∣ associates.mk a :=
by { haveI := classical.dec_eq (associates α),
apply @dvd_of_mem_factors _ _ _ _ _ _ _ _ hp,
rw factors_mk _ hz,
apply mem_factor_set_some.2 h_mem }
omit dec_irr
lemma mem_factors'_of_dvd {a p : α} (ha0 : a ≠ 0) (hp : irreducible p) (hd : p ∣ a) :
subtype.mk (associates.mk p) ((irreducible_mk _).2 hp) ∈ factors' a :=
begin
obtain ⟨q, hq, hpq⟩ := exists_mem_factors_of_dvd ha0 hp hd,
apply multiset.mem_pmap.mpr, use q, use hq,
exact subtype.eq (eq.symm (mk_eq_mk_iff_associated.mpr hpq))
end
include dec_irr
lemma mem_factors'_iff_dvd {a p : α} (ha0 : a ≠ 0) (hp : irreducible p) :
subtype.mk (associates.mk p) ((irreducible_mk _).2 hp) ∈ factors' a ↔ p ∣ a :=
begin
split,
{ rw ← mk_dvd_mk, apply dvd_of_mem_factors', apply ha0 },
{ apply mem_factors'_of_dvd ha0 }
end
include dec'
lemma mem_factors_of_dvd {a p : α} (ha0 : a ≠ 0) (hp : irreducible p) (hd : p ∣ a) :
(associates.mk p) ∈ factors (associates.mk a) :=
begin
rw factors_mk _ ha0, exact mem_factor_set_some.mpr (mem_factors'_of_dvd ha0 hp hd)
end
lemma mem_factors_iff_dvd {a p : α} (ha0 : a ≠ 0) (hp : irreducible p) :
(associates.mk p) ∈ factors (associates.mk a) ↔ p ∣ a :=
begin
split,
{ rw ← mk_dvd_mk, apply dvd_of_mem_factors, exact (irreducible_mk p).mpr hp },
{ apply mem_factors_of_dvd ha0 hp }
end
lemma exists_prime_dvd_of_not_inf_one {a b : α}
(ha : a ≠ 0) (hb : b ≠ 0) (h : (associates.mk a) ⊓ (associates.mk b) ≠ 1) :
∃ (p : α), prime p ∧ p ∣ a ∧ p ∣ b :=
begin
have hz : (factors (associates.mk a)) ⊓ (factors (associates.mk b)) ≠ 0,
{ contrapose! h with hf,
change ((factors (associates.mk a)) ⊓ (factors (associates.mk b))).prod = 1,
rw hf,
exact multiset.prod_zero },
rw [factors_mk a ha, factors_mk b hb, ← with_top.coe_inf] at hz,
obtain ⟨⟨p0, p0_irr⟩, p0_mem⟩ := multiset.exists_mem_of_ne_zero ((mt with_top.coe_eq_coe.mpr) hz),
rw multiset.inf_eq_inter at p0_mem,
obtain ⟨p, rfl⟩ : ∃ p, associates.mk p = p0 := quot.exists_rep p0,
refine ⟨p, _, _, _⟩,
{ rw [← irreducible_iff_prime, ← irreducible_mk],
exact p0_irr },
{ apply dvd_of_mk_le_mk,
apply dvd_of_mem_factors' (multiset.mem_inter.mp p0_mem).left,
apply ha, },
{ apply dvd_of_mk_le_mk,
apply dvd_of_mem_factors' (multiset.mem_inter.mp p0_mem).right,
apply hb }
end
theorem coprime_iff_inf_one [nontrivial α] {a b : α} (ha0 : a ≠ 0) (hb0 : b ≠ 0) :
(associates.mk a) ⊓ (associates.mk b) = 1 ↔ ∀ {d : α}, d ∣ a → d ∣ b → ¬ prime d :=
begin
split,
{ intros hg p ha hb hp,
refine ((associates.prime_mk _).mpr hp).not_unit (is_unit_of_dvd_one _ _),
rw ← hg,
exact le_inf (mk_le_mk_of_dvd ha) (mk_le_mk_of_dvd hb) },
{ contrapose,
intros hg hc,
obtain ⟨p, hp, hpa, hpb⟩ := exists_prime_dvd_of_not_inf_one ha0 hb0 hg,
exact hc hpa hpb hp }
end
omit dec_irr
theorem factors_prime_pow [nontrivial α] {p : associates α} (hp : irreducible p)
(k : ℕ) : factors (p ^ k) = some (multiset.repeat ⟨p, hp⟩ k) :=
eq_of_prod_eq_prod (by rw [associates.factors_prod, factor_set.prod, multiset.map_repeat,
multiset.prod_repeat, subtype.coe_mk])
include dec_irr
theorem prime_pow_dvd_iff_le [nontrivial α] {m p : associates α} (h₁ : m ≠ 0)
(h₂ : irreducible p) {k : ℕ} : p ^ k ≤ m ↔ k ≤ count p m.factors :=
begin
obtain ⟨a, nz, rfl⟩ := associates.exists_non_zero_rep h₁,
rw [factors_mk _ nz, ← with_top.some_eq_coe, count_some, multiset.le_count_iff_repeat_le,
← factors_le, factors_prime_pow h₂, factors_mk _ nz],
exact with_top.coe_le_coe
end
theorem le_of_count_ne_zero [nontrivial α] {m p : associates α} (h0 : m ≠ 0)
(hp : irreducible p) : count p m.factors ≠ 0 → p ≤ m :=
begin
rw [← pos_iff_ne_zero],
intro h,
rw [← pow_one p],
apply (prime_pow_dvd_iff_le h0 hp).2,
simpa only
end
theorem count_mul [nontrivial α] {a : associates α} (ha : a ≠ 0) {b : associates α} (hb : b ≠ 0)
{p : associates α} (hp : irreducible p) :
count p (factors (a * b)) = count p a.factors + count p b.factors :=
begin
obtain ⟨a0, nza, ha'⟩ := exists_non_zero_rep ha,
obtain ⟨b0, nzb, hb'⟩ := exists_non_zero_rep hb,
rw [factors_mul, ← ha', ← hb', factors_mk a0 nza, factors_mk b0 nzb, ← factor_set.coe_add,
← with_top.some_eq_coe, ← with_top.some_eq_coe, ← with_top.some_eq_coe, count_some hp,
multiset.count_add, count_some hp, count_some hp]
end
theorem count_of_coprime [nontrivial α] {a : associates α} (ha : a ≠ 0) {b : associates α}
(hb : b ≠ 0)
(hab : ∀ d, d ∣ a → d ∣ b → ¬ prime d) {p : associates α} (hp : irreducible p) :
count p a.factors = 0 ∨ count p b.factors = 0 :=
begin
rw [or_iff_not_imp_left, ← ne.def],
intro hca,
contrapose! hab with hcb,
exact ⟨p, le_of_count_ne_zero ha hp hca, le_of_count_ne_zero hb hp hcb,
(irreducible_iff_prime.mp hp)⟩,
end
theorem count_mul_of_coprime [nontrivial α] {a : associates α} (ha : a ≠ 0) {b : associates α}
(hb : b ≠ 0)
{p : associates α} (hp : irreducible p) (hab : ∀ d, d ∣ a → d ∣ b → ¬ prime d) :
count p a.factors = 0 ∨ count p a.factors = count p (a * b).factors :=
begin
cases count_of_coprime ha hb hab hp with hz hb0, { tauto },
apply or.intro_right,
rw [count_mul ha hb hp, hb0, add_zero]
end
theorem count_mul_of_coprime' [nontrivial α] {a : associates α} (ha : a ≠ 0) {b : associates α}
(hb : b ≠ 0)
{p : associates α} (hp : irreducible p) (hab : ∀ d, d ∣ a → d ∣ b → ¬ prime d) :
count p (a * b).factors = count p a.factors
∨ count p (a * b).factors = count p b.factors :=
begin
rw [count_mul ha hb hp],
cases count_of_coprime ha hb hab hp with ha0 hb0,
{ apply or.intro_right, rw [ha0, zero_add] },
{ apply or.intro_left, rw [hb0, add_zero] }
end
theorem dvd_count_of_dvd_count_mul [nontrivial α] {a b : associates α} (ha : a ≠ 0) (hb : b ≠ 0)
{p : associates α} (hp : irreducible p) (hab : ∀ d, d ∣ a → d ∣ b → ¬ prime d)
{k : ℕ} (habk : k ∣ count p (a * b).factors) : k ∣ count p a.factors :=
begin
cases count_of_coprime ha hb hab hp with hz h,
{ rw hz, exact dvd_zero k },
{ rw [count_mul ha hb hp, h] at habk, exact habk }
end
omit dec_irr
@[simp] lemma factors_one [nontrivial α] : factors (1 : associates α) = 0 :=
begin
apply eq_of_prod_eq_prod,
rw associates.factors_prod,
exact multiset.prod_zero,
end
@[simp] theorem pow_factors [nontrivial α] {a : associates α} {k : ℕ} :
(a ^ k).factors = k • a.factors :=
begin
induction k with n h,
{ rw [zero_nsmul, pow_zero], exact factors_one },
{ rw [pow_succ, succ_nsmul, factors_mul, h] }
end
include dec_irr
lemma count_pow [nontrivial α] {a : associates α} (ha : a ≠ 0) {p : associates α}
(hp : irreducible p)
(k : ℕ) : count p (a ^ k).factors = k * count p a.factors :=
begin
induction k with n h,
{ rw [pow_zero, factors_one, zero_mul, count_zero hp] },
{ rw [pow_succ, count_mul ha (pow_ne_zero _ ha) hp, h, nat.succ_eq_add_one], ring }
end
theorem dvd_count_pow [nontrivial α] {a : associates α} (ha : a ≠ 0) {p : associates α}
(hp : irreducible p)
(k : ℕ) : k ∣ count p (a ^ k).factors := by { rw count_pow ha hp, apply dvd_mul_right }
theorem is_pow_of_dvd_count [nontrivial α] {a : associates α} (ha : a ≠ 0) {k : ℕ}
(hk : ∀ (p : associates α) (hp : irreducible p), k ∣ count p a.factors) :
∃ (b : associates α), a = b ^ k :=
begin
obtain ⟨a0, hz, rfl⟩ := exists_non_zero_rep ha,
rw [factors_mk a0 hz] at hk,
have hk' : ∀ p, p ∈ (factors' a0) → k ∣ (factors' a0).count p,
{ rintros p -,
have pp : p = ⟨p.val, p.2⟩, { simp only [subtype.coe_eta, subtype.val_eq_coe] },
rw [pp, ← count_some p.2], exact hk p.val p.2 },
obtain ⟨u, hu⟩ := multiset.exists_smul_of_dvd_count _ hk',
use (u : factor_set α).prod,
apply eq_of_factors_eq_factors,
rw [pow_factors, prod_factors, factors_mk a0 hz, ← with_top.some_eq_coe, hu],
exact with_bot.coe_nsmul u k
end
omit dec
omit dec_irr
omit dec'
theorem eq_pow_of_mul_eq_pow [nontrivial α] {a b c : associates α} (ha : a ≠ 0) (hb : b ≠ 0)
(hab : ∀ d, d ∣ a → d ∣ b → ¬ prime d) {k : ℕ} (h : a * b = c ^ k) :
∃ (d : associates α), a = d ^ k :=
begin
classical,
by_cases hk0 : k = 0,
{ use 1,
rw [hk0, pow_zero] at h ⊢,
apply (mul_eq_one_iff.1 h).1 },
{ refine is_pow_of_dvd_count ha _,
intros p hp,
apply dvd_count_of_dvd_count_mul ha hb hp hab,
rw h,
apply dvd_count_pow _ hp,
rintros rfl,
rw zero_pow' _ hk0 at h,
cases mul_eq_zero.mp h; contradiction }
end
end associates
section
open associates unique_factorization_monoid
lemma associates.quot_out {α : Type*} [comm_monoid α] (a : associates α):
associates.mk (quot.out (a)) = a :=
by rw [←quot_mk_eq_mk, quot.out_eq]
/-- `to_gcd_monoid` constructs a GCD monoid out of a unique factorization domain. -/
noncomputable def unique_factorization_monoid.to_gcd_monoid
(α : Type*) [comm_cancel_monoid_with_zero α] [nontrivial α] [unique_factorization_monoid α]
[decidable_eq (associates α)] [decidable_eq α] : gcd_monoid α :=
{ gcd := λa b, quot.out (associates.mk a ⊓ associates.mk b : associates α),
lcm := λa b, quot.out (associates.mk a ⊔ associates.mk b : associates α),
gcd_dvd_left := λ a b, by {
rw [←mk_dvd_mk, (associates.mk a ⊓ associates.mk b).quot_out, dvd_eq_le],
exact inf_le_left },
gcd_dvd_right := λ a b, by {
rw [←mk_dvd_mk, (associates.mk a ⊓ associates.mk b).quot_out, dvd_eq_le],
exact inf_le_right },
dvd_gcd := λ a b c hac hab, by {
rw [←mk_dvd_mk, (associates.mk c ⊓ associates.mk b).quot_out, dvd_eq_le,
le_inf_iff, mk_le_mk_iff_dvd_iff, mk_le_mk_iff_dvd_iff],
exact ⟨hac, hab⟩ },
lcm_zero_left := λ a, by {
have : associates.mk (0 : α) = ⊤ := rfl,
rw [this, top_sup_eq, ←this, ←associated_zero_iff_eq_zero, ←mk_eq_mk_iff_associated,
←associated_iff_eq, associates.quot_out] },
lcm_zero_right := λ a, by {
have : associates.mk (0 : α) = ⊤ := rfl,
rw [this, sup_top_eq, ←this, ←associated_zero_iff_eq_zero, ←mk_eq_mk_iff_associated,
←associated_iff_eq, associates.quot_out] },
gcd_mul_lcm := λ a b, by {
rw [←mk_eq_mk_iff_associated, ←associates.mk_mul_mk, ←associated_iff_eq, associates.quot_out,
associates.quot_out, mul_comm, sup_mul_inf, associates.mk_mul_mk] } }
/-- `to_normalized_gcd_monoid` constructs a GCD monoid out of a normalization on a
unique factorization domain. -/
noncomputable def unique_factorization_monoid.to_normalized_gcd_monoid
(α : Type*) [comm_cancel_monoid_with_zero α] [nontrivial α] [unique_factorization_monoid α]
[normalization_monoid α] [decidable_eq (associates α)] [decidable_eq α] :
normalized_gcd_monoid α :=
{ gcd := λa b, (associates.mk a ⊓ associates.mk b).out,
lcm := λa b, (associates.mk a ⊔ associates.mk b).out,
gcd_dvd_left := assume a b, (out_dvd_iff a (associates.mk a ⊓ associates.mk b)).2 $ inf_le_left,
gcd_dvd_right := assume a b, (out_dvd_iff b (associates.mk a ⊓ associates.mk b)).2 $ inf_le_right,
dvd_gcd := assume a b c hac hab, show a ∣ (associates.mk c ⊓ associates.mk b).out,
by rw [dvd_out_iff, le_inf_iff, mk_le_mk_iff_dvd_iff, mk_le_mk_iff_dvd_iff]; exact ⟨hac, hab⟩,
lcm_zero_left := assume a, show (⊤ ⊔ associates.mk a).out = 0, by simp,
lcm_zero_right := assume a, show (associates.mk a ⊔ ⊤).out = 0, by simp,
gcd_mul_lcm := assume a b, by {
rw [← out_mul, mul_comm, sup_mul_inf, mk_mul_mk, out_mk],
exact normalize_associated (a * b) },
normalize_gcd := assume a b, by convert normalize_out _,
normalize_lcm := assume a b, by convert normalize_out _,
.. ‹normalization_monoid α› }
end
namespace unique_factorization_monoid
/-- If `y` is a nonzero element of a unique factorization monoid with finitely
many units (e.g. `ℤ`, `ideal (ring_of_integers K)`), it has finitely many divisors. -/
noncomputable def fintype_subtype_dvd {M : Type*} [comm_cancel_monoid_with_zero M]
[unique_factorization_monoid M] [fintype (units M)]
(y : M) (hy : y ≠ 0) :
fintype {x // x ∣ y} :=
begin
haveI : nontrivial M := ⟨⟨y, 0, hy⟩⟩,
haveI : normalization_monoid M := unique_factorization_monoid.normalization_monoid,
haveI := classical.dec_eq M,
haveI := classical.dec_eq (associates M),
-- We'll show `λ (u : units M) (f ⊆ factors y) → u * Π f` is injective
-- and has image exactly the divisors of `y`.
refine fintype.of_finset
(((normalized_factors y).powerset.to_finset.product (finset.univ : finset (units M))).image
(λ s, (s.snd : M) * s.fst.prod))
(λ x, _),
simp only [exists_prop, finset.mem_image, finset.mem_product, finset.mem_univ, and_true,
multiset.mem_to_finset, multiset.mem_powerset, exists_eq_right, multiset.mem_map],
split,
{ rintros ⟨s, hs, rfl⟩,
have prod_s_ne : s.fst.prod ≠ 0,
{ intro hz,
apply hy (eq_zero_of_zero_dvd _),
have hz := (@multiset.prod_eq_zero_iff M _ _ _ s.fst).mp hz,
rw ← (normalized_factors_prod hy).dvd_iff_dvd_right,
exact multiset.dvd_prod (multiset.mem_of_le hs hz) },
show (s.snd : M) * s.fst.prod ∣ y,
rw [(unit_associated_one.mul_right s.fst.prod).dvd_iff_dvd_left, one_mul,
← (normalized_factors_prod hy).dvd_iff_dvd_right],
exact multiset.prod_dvd_prod hs },
{ rintro (h : x ∣ y),
have hx : x ≠ 0, { refine mt (λ hx, _) hy, rwa [hx, zero_dvd_iff] at h },
obtain ⟨u, hu⟩ := normalized_factors_prod hx,
refine ⟨⟨normalized_factors x, u⟩, _, (mul_comm _ _).trans hu⟩,
exact (dvd_iff_normalized_factors_le_normalized_factors hx hy).mp h }
end
end unique_factorization_monoid
|
3a51d2328119ba7cb3782123c94d0d65fb3d86e0 | de91c42b87530c3bdcc2b138ef1a3c3d9bee0d41 | /old/override/geomOverride.lean | 77224eacd113d042535a90216b5fdb1f7c73bea1 | [] | no_license | kevinsullivan/lang | d3e526ba363dc1ddf5ff1c2f36607d7f891806a7 | e9d869bff94fb13ad9262222a6f3c4aafba82d5e | refs/heads/master | 1,687,840,064,795 | 1,628,047,969,000 | 1,628,047,969,000 | 282,210,749 | 0 | 1 | null | 1,608,153,830,000 | 1,595,592,637,000 | Lean | UTF-8 | Lean | false | false | 3,249 | lean | import ..imperative_DSL.environment
import ..eval.geometryEval
open lang.euclideanGeometry3
def assignGeometry3Space : environment.env → lang.euclideanGeometry3.spaceVar → lang.euclideanGeometry3.spaceExpr → environment.env
| i v e :=
{
g:={sp := (λ r,
if (spaceVarEq v r)
then (euclideanGeometry3Eval e i)
else (i.g.sp r)), ..i.g},
..i
}
def assignGeometry3Frame : environment.env → lang.euclideanGeometry3.frameVar → lang.euclideanGeometry3.frameExpr → environment.env
| i v e :=
{
g:={fr := (λ r,
if (frameVarEq v r)
then (euclideanGeometry3FrameEval e i)
else (i.g.fr r)), ..i.g},
..i
}
def assignGeometry3Transform : environment.env → lang.euclideanGeometry3.TransformVar → lang.euclideanGeometry3.TransformExpr → environment.env
| i v e :=
{
g:={tr := (λ r,
if (transformVarEq v r)
then (euclideanGeometry3TransformEval e i)
else (i.g.tr r)), ..i.g},
..i
}
def assignGeometry3Vector : environment.env → lang.euclideanGeometry3.CoordinateVectorVar → lang.euclideanGeometry3.CoordinateVectorExpr → environment.env
| i v e :=
{
g:={vec := (λ r,
if (vectorVarEq v r)
then (euclideanGeometry3CoordinateVectorEval e i)
else (i.g.vec r)), ..i.g},
..i
}
def assignGeometry3Point : environment.env → lang.euclideanGeometry3.CoordinatePointVar → lang.euclideanGeometry3.CoordinatePointExpr → environment.env
| i v e :=
{
g:={pt := (λ r,
if (pointVarEq v r)
then (euclideanGeometry3CoordinatePointEval e i)
else (i.g.pt r)), ..i.g},
..i
}
def assignGeometry3Scalar : environment.env →
lang.euclideanGeometry3.ScalarVar →
lang.euclideanGeometry3.ScalarExpr → environment.env
| i v e :=
{
g:={s := (λ r,
if (scalarVarEq v r)
then (euclideanGeometry3ScalarEval e i)
else (i.g.s r)), ..i.g},
..i
}
def assignGeometry3Angle : environment.env →
lang.euclideanGeometry3.AngleVar →
lang.euclideanGeometry3.AngleExpr → environment.env
| i v e :=
{
g:={a := (λ r,
if (angleVarEq v r)
then (euclideanGeometry3AngleEval e i)
else (i.g.a r)), ..i.g},
..i
}
def assignGeometry3Orientation : environment.env →
lang.euclideanGeometry3.OrientationVar →
lang.euclideanGeometry3.OrientationExpr → environment.env
| i v e :=
{
g:={or := (λ r,
if (orientationVarEq v r)
then (euclideanGeometry3OrientationEval e i)
else (i.g.or r)), ..i.g},
..i
}
def assignGeometry3Rotation : environment.env →
lang.euclideanGeometry3.RotationVar →
lang.euclideanGeometry3.RotationExpr → environment.env
| i v e :=
{
g:={r := (λ r,
if (rotationVarEq v r)
then (euclideanGeometry3RotationEval e i)
else (i.g.r r)), ..i.g},
..i
} |
6472b54804539ecb9558fece8f4447fc3cb3635e | 592ee40978ac7604005a4e0d35bbc4b467389241 | /Library/generated/mathscheme-lean/Ring.lean | 514f6e8f182e5107c0b30253e79edcfc93d2561f | [] | no_license | ysharoda/Deriving-Definitions | 3e149e6641fae440badd35ac110a0bd705a49ad2 | dfecb27572022de3d4aa702cae8db19957523a59 | refs/heads/master | 1,679,127,857,700 | 1,615,939,007,000 | 1,615,939,007,000 | 229,785,731 | 4 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 14,667 | lean | import init.data.nat.basic
import init.data.fin.basic
import data.vector
import .Prelude
open Staged
open nat
open fin
open vector
section Ring
structure Ring (A : Type) : Type :=
(times : (A → (A → A)))
(plus : (A → (A → A)))
(zero : A)
(lunit_zero : (∀ {x : A} , (plus zero x) = x))
(runit_zero : (∀ {x : A} , (plus x zero) = x))
(associative_plus : (∀ {x y z : A} , (plus (plus x y) z) = (plus x (plus y z))))
(commutative_plus : (∀ {x y : A} , (plus x y) = (plus y x)))
(associative_times : (∀ {x y z : A} , (times (times x y) z) = (times x (times y z))))
(leftDistributive_times_plus : (∀ {x y z : A} , (times x (plus y z)) = (plus (times x y) (times x z))))
(rightDistributive_times_plus : (∀ {x y z : A} , (times (plus y z) x) = (plus (times y x) (times z x))))
(neg : (A → A))
(leftInverse_inv_op_zero : (∀ {x : A} , (plus x (neg x)) = zero))
(rightInverse_inv_op_zero : (∀ {x : A} , (plus (neg x) x) = zero))
(one : A)
(lunit_one : (∀ {x : A} , (times one x) = x))
(runit_one : (∀ {x : A} , (times x one) = x))
(leftZero_op_zero : (∀ {x : A} , (times zero x) = zero))
(rightZero_op_zero : (∀ {x : A} , (times x zero) = zero))
open Ring
structure Sig (AS : Type) : Type :=
(timesS : (AS → (AS → AS)))
(plusS : (AS → (AS → AS)))
(zeroS : AS)
(negS : (AS → AS))
(oneS : AS)
structure Product (A : Type) : Type :=
(timesP : ((Prod A A) → ((Prod A A) → (Prod A A))))
(plusP : ((Prod A A) → ((Prod A A) → (Prod A A))))
(zeroP : (Prod A A))
(negP : ((Prod A A) → (Prod A A)))
(oneP : (Prod A A))
(lunit_0P : (∀ {xP : (Prod A A)} , (plusP zeroP xP) = xP))
(runit_0P : (∀ {xP : (Prod A A)} , (plusP xP zeroP) = xP))
(associative_plusP : (∀ {xP yP zP : (Prod A A)} , (plusP (plusP xP yP) zP) = (plusP xP (plusP yP zP))))
(commutative_plusP : (∀ {xP yP : (Prod A A)} , (plusP xP yP) = (plusP yP xP)))
(associative_timesP : (∀ {xP yP zP : (Prod A A)} , (timesP (timesP xP yP) zP) = (timesP xP (timesP yP zP))))
(leftDistributive_times_plusP : (∀ {xP yP zP : (Prod A A)} , (timesP xP (plusP yP zP)) = (plusP (timesP xP yP) (timesP xP zP))))
(rightDistributive_times_plusP : (∀ {xP yP zP : (Prod A A)} , (timesP (plusP yP zP) xP) = (plusP (timesP yP xP) (timesP zP xP))))
(leftInverse_inv_op_0P : (∀ {xP : (Prod A A)} , (plusP xP (negP xP)) = zeroP))
(rightInverse_inv_op_0P : (∀ {xP : (Prod A A)} , (plusP (negP xP) xP) = zeroP))
(lunit_1P : (∀ {xP : (Prod A A)} , (timesP oneP xP) = xP))
(runit_1P : (∀ {xP : (Prod A A)} , (timesP xP oneP) = xP))
(leftZero_op_0P : (∀ {xP : (Prod A A)} , (timesP zeroP xP) = zeroP))
(rightZero_op_0P : (∀ {xP : (Prod A A)} , (timesP xP zeroP) = zeroP))
structure Hom {A1 : Type} {A2 : Type} (Ri1 : (Ring A1)) (Ri2 : (Ring A2)) : Type :=
(hom : (A1 → A2))
(pres_times : (∀ {x1 x2 : A1} , (hom ((times Ri1) x1 x2)) = ((times Ri2) (hom x1) (hom x2))))
(pres_plus : (∀ {x1 x2 : A1} , (hom ((plus Ri1) x1 x2)) = ((plus Ri2) (hom x1) (hom x2))))
(pres_zero : (hom (zero Ri1)) = (zero Ri2))
(pres_neg : (∀ {x1 : A1} , (hom ((neg Ri1) x1)) = ((neg Ri2) (hom x1))))
(pres_one : (hom (one Ri1)) = (one Ri2))
structure RelInterp {A1 : Type} {A2 : Type} (Ri1 : (Ring A1)) (Ri2 : (Ring A2)) : Type 1 :=
(interp : (A1 → (A2 → Type)))
(interp_times : (∀ {x1 x2 : A1} {y1 y2 : A2} , ((interp x1 y1) → ((interp x2 y2) → (interp ((times Ri1) x1 x2) ((times Ri2) y1 y2))))))
(interp_plus : (∀ {x1 x2 : A1} {y1 y2 : A2} , ((interp x1 y1) → ((interp x2 y2) → (interp ((plus Ri1) x1 x2) ((plus Ri2) y1 y2))))))
(interp_zero : (interp (zero Ri1) (zero Ri2)))
(interp_neg : (∀ {x1 : A1} {y1 : A2} , ((interp x1 y1) → (interp ((neg Ri1) x1) ((neg Ri2) y1)))))
(interp_one : (interp (one Ri1) (one Ri2)))
inductive RingTerm : Type
| timesL : (RingTerm → (RingTerm → RingTerm))
| plusL : (RingTerm → (RingTerm → RingTerm))
| zeroL : RingTerm
| negL : (RingTerm → RingTerm)
| oneL : RingTerm
open RingTerm
inductive ClRingTerm (A : Type) : Type
| sing : (A → ClRingTerm)
| timesCl : (ClRingTerm → (ClRingTerm → ClRingTerm))
| plusCl : (ClRingTerm → (ClRingTerm → ClRingTerm))
| zeroCl : ClRingTerm
| negCl : (ClRingTerm → ClRingTerm)
| oneCl : ClRingTerm
open ClRingTerm
inductive OpRingTerm (n : ℕ) : Type
| v : ((fin n) → OpRingTerm)
| timesOL : (OpRingTerm → (OpRingTerm → OpRingTerm))
| plusOL : (OpRingTerm → (OpRingTerm → OpRingTerm))
| zeroOL : OpRingTerm
| negOL : (OpRingTerm → OpRingTerm)
| oneOL : OpRingTerm
open OpRingTerm
inductive OpRingTerm2 (n : ℕ) (A : Type) : Type
| v2 : ((fin n) → OpRingTerm2)
| sing2 : (A → OpRingTerm2)
| timesOL2 : (OpRingTerm2 → (OpRingTerm2 → OpRingTerm2))
| plusOL2 : (OpRingTerm2 → (OpRingTerm2 → OpRingTerm2))
| zeroOL2 : OpRingTerm2
| negOL2 : (OpRingTerm2 → OpRingTerm2)
| oneOL2 : OpRingTerm2
open OpRingTerm2
def simplifyCl {A : Type} : ((ClRingTerm A) → (ClRingTerm A))
| (plusCl zeroCl x) := x
| (plusCl x zeroCl) := x
| (timesCl oneCl x) := x
| (timesCl x oneCl) := x
| (timesCl x1 x2) := (timesCl (simplifyCl x1) (simplifyCl x2))
| (plusCl x1 x2) := (plusCl (simplifyCl x1) (simplifyCl x2))
| zeroCl := zeroCl
| (negCl x1) := (negCl (simplifyCl x1))
| oneCl := oneCl
| (sing x1) := (sing x1)
def simplifyOpB {n : ℕ} : ((OpRingTerm n) → (OpRingTerm n))
| (plusOL zeroOL x) := x
| (plusOL x zeroOL) := x
| (timesOL oneOL x) := x
| (timesOL x oneOL) := x
| (timesOL x1 x2) := (timesOL (simplifyOpB x1) (simplifyOpB x2))
| (plusOL x1 x2) := (plusOL (simplifyOpB x1) (simplifyOpB x2))
| zeroOL := zeroOL
| (negOL x1) := (negOL (simplifyOpB x1))
| oneOL := oneOL
| (v x1) := (v x1)
def simplifyOp {n : ℕ} {A : Type} : ((OpRingTerm2 n A) → (OpRingTerm2 n A))
| (plusOL2 zeroOL2 x) := x
| (plusOL2 x zeroOL2) := x
| (timesOL2 oneOL2 x) := x
| (timesOL2 x oneOL2) := x
| (timesOL2 x1 x2) := (timesOL2 (simplifyOp x1) (simplifyOp x2))
| (plusOL2 x1 x2) := (plusOL2 (simplifyOp x1) (simplifyOp x2))
| zeroOL2 := zeroOL2
| (negOL2 x1) := (negOL2 (simplifyOp x1))
| oneOL2 := oneOL2
| (v2 x1) := (v2 x1)
| (sing2 x1) := (sing2 x1)
def evalB {A : Type} : ((Ring A) → (RingTerm → A))
| Ri (timesL x1 x2) := ((times Ri) (evalB Ri x1) (evalB Ri x2))
| Ri (plusL x1 x2) := ((plus Ri) (evalB Ri x1) (evalB Ri x2))
| Ri zeroL := (zero Ri)
| Ri (negL x1) := ((neg Ri) (evalB Ri x1))
| Ri oneL := (one Ri)
def evalCl {A : Type} : ((Ring A) → ((ClRingTerm A) → A))
| Ri (sing x1) := x1
| Ri (timesCl x1 x2) := ((times Ri) (evalCl Ri x1) (evalCl Ri x2))
| Ri (plusCl x1 x2) := ((plus Ri) (evalCl Ri x1) (evalCl Ri x2))
| Ri zeroCl := (zero Ri)
| Ri (negCl x1) := ((neg Ri) (evalCl Ri x1))
| Ri oneCl := (one Ri)
def evalOpB {A : Type} {n : ℕ} : ((Ring A) → ((vector A n) → ((OpRingTerm n) → A)))
| Ri vars (v x1) := (nth vars x1)
| Ri vars (timesOL x1 x2) := ((times Ri) (evalOpB Ri vars x1) (evalOpB Ri vars x2))
| Ri vars (plusOL x1 x2) := ((plus Ri) (evalOpB Ri vars x1) (evalOpB Ri vars x2))
| Ri vars zeroOL := (zero Ri)
| Ri vars (negOL x1) := ((neg Ri) (evalOpB Ri vars x1))
| Ri vars oneOL := (one Ri)
def evalOp {A : Type} {n : ℕ} : ((Ring A) → ((vector A n) → ((OpRingTerm2 n A) → A)))
| Ri vars (v2 x1) := (nth vars x1)
| Ri vars (sing2 x1) := x1
| Ri vars (timesOL2 x1 x2) := ((times Ri) (evalOp Ri vars x1) (evalOp Ri vars x2))
| Ri vars (plusOL2 x1 x2) := ((plus Ri) (evalOp Ri vars x1) (evalOp Ri vars x2))
| Ri vars zeroOL2 := (zero Ri)
| Ri vars (negOL2 x1) := ((neg Ri) (evalOp Ri vars x1))
| Ri vars oneOL2 := (one Ri)
def inductionB {P : (RingTerm → Type)} : ((∀ (x1 x2 : RingTerm) , ((P x1) → ((P x2) → (P (timesL x1 x2))))) → ((∀ (x1 x2 : RingTerm) , ((P x1) → ((P x2) → (P (plusL x1 x2))))) → ((P zeroL) → ((∀ (x1 : RingTerm) , ((P x1) → (P (negL x1)))) → ((P oneL) → (∀ (x : RingTerm) , (P x)))))))
| ptimesl pplusl p0l pnegl p1l (timesL x1 x2) := (ptimesl _ _ (inductionB ptimesl pplusl p0l pnegl p1l x1) (inductionB ptimesl pplusl p0l pnegl p1l x2))
| ptimesl pplusl p0l pnegl p1l (plusL x1 x2) := (pplusl _ _ (inductionB ptimesl pplusl p0l pnegl p1l x1) (inductionB ptimesl pplusl p0l pnegl p1l x2))
| ptimesl pplusl p0l pnegl p1l zeroL := p0l
| ptimesl pplusl p0l pnegl p1l (negL x1) := (pnegl _ (inductionB ptimesl pplusl p0l pnegl p1l x1))
| ptimesl pplusl p0l pnegl p1l oneL := p1l
def inductionCl {A : Type} {P : ((ClRingTerm A) → Type)} : ((∀ (x1 : A) , (P (sing x1))) → ((∀ (x1 x2 : (ClRingTerm A)) , ((P x1) → ((P x2) → (P (timesCl x1 x2))))) → ((∀ (x1 x2 : (ClRingTerm A)) , ((P x1) → ((P x2) → (P (plusCl x1 x2))))) → ((P zeroCl) → ((∀ (x1 : (ClRingTerm A)) , ((P x1) → (P (negCl x1)))) → ((P oneCl) → (∀ (x : (ClRingTerm A)) , (P x))))))))
| psing ptimescl ppluscl p0cl pnegcl p1cl (sing x1) := (psing x1)
| psing ptimescl ppluscl p0cl pnegcl p1cl (timesCl x1 x2) := (ptimescl _ _ (inductionCl psing ptimescl ppluscl p0cl pnegcl p1cl x1) (inductionCl psing ptimescl ppluscl p0cl pnegcl p1cl x2))
| psing ptimescl ppluscl p0cl pnegcl p1cl (plusCl x1 x2) := (ppluscl _ _ (inductionCl psing ptimescl ppluscl p0cl pnegcl p1cl x1) (inductionCl psing ptimescl ppluscl p0cl pnegcl p1cl x2))
| psing ptimescl ppluscl p0cl pnegcl p1cl zeroCl := p0cl
| psing ptimescl ppluscl p0cl pnegcl p1cl (negCl x1) := (pnegcl _ (inductionCl psing ptimescl ppluscl p0cl pnegcl p1cl x1))
| psing ptimescl ppluscl p0cl pnegcl p1cl oneCl := p1cl
def inductionOpB {n : ℕ} {P : ((OpRingTerm n) → Type)} : ((∀ (fin : (fin n)) , (P (v fin))) → ((∀ (x1 x2 : (OpRingTerm n)) , ((P x1) → ((P x2) → (P (timesOL x1 x2))))) → ((∀ (x1 x2 : (OpRingTerm n)) , ((P x1) → ((P x2) → (P (plusOL x1 x2))))) → ((P zeroOL) → ((∀ (x1 : (OpRingTerm n)) , ((P x1) → (P (negOL x1)))) → ((P oneOL) → (∀ (x : (OpRingTerm n)) , (P x))))))))
| pv ptimesol pplusol p0ol pnegol p1ol (v x1) := (pv x1)
| pv ptimesol pplusol p0ol pnegol p1ol (timesOL x1 x2) := (ptimesol _ _ (inductionOpB pv ptimesol pplusol p0ol pnegol p1ol x1) (inductionOpB pv ptimesol pplusol p0ol pnegol p1ol x2))
| pv ptimesol pplusol p0ol pnegol p1ol (plusOL x1 x2) := (pplusol _ _ (inductionOpB pv ptimesol pplusol p0ol pnegol p1ol x1) (inductionOpB pv ptimesol pplusol p0ol pnegol p1ol x2))
| pv ptimesol pplusol p0ol pnegol p1ol zeroOL := p0ol
| pv ptimesol pplusol p0ol pnegol p1ol (negOL x1) := (pnegol _ (inductionOpB pv ptimesol pplusol p0ol pnegol p1ol x1))
| pv ptimesol pplusol p0ol pnegol p1ol oneOL := p1ol
def inductionOp {n : ℕ} {A : Type} {P : ((OpRingTerm2 n A) → Type)} : ((∀ (fin : (fin n)) , (P (v2 fin))) → ((∀ (x1 : A) , (P (sing2 x1))) → ((∀ (x1 x2 : (OpRingTerm2 n A)) , ((P x1) → ((P x2) → (P (timesOL2 x1 x2))))) → ((∀ (x1 x2 : (OpRingTerm2 n A)) , ((P x1) → ((P x2) → (P (plusOL2 x1 x2))))) → ((P zeroOL2) → ((∀ (x1 : (OpRingTerm2 n A)) , ((P x1) → (P (negOL2 x1)))) → ((P oneOL2) → (∀ (x : (OpRingTerm2 n A)) , (P x)))))))))
| pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 (v2 x1) := (pv2 x1)
| pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 (sing2 x1) := (psing2 x1)
| pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 (timesOL2 x1 x2) := (ptimesol2 _ _ (inductionOp pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 x1) (inductionOp pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 x2))
| pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 (plusOL2 x1 x2) := (pplusol2 _ _ (inductionOp pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 x1) (inductionOp pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 x2))
| pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 zeroOL2 := p0ol2
| pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 (negOL2 x1) := (pnegol2 _ (inductionOp pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 x1))
| pv2 psing2 ptimesol2 pplusol2 p0ol2 pnegol2 p1ol2 oneOL2 := p1ol2
def stageB : (RingTerm → (Staged RingTerm))
| (timesL x1 x2) := (stage2 timesL (codeLift2 timesL) (stageB x1) (stageB x2))
| (plusL x1 x2) := (stage2 plusL (codeLift2 plusL) (stageB x1) (stageB x2))
| zeroL := (Now zeroL)
| (negL x1) := (stage1 negL (codeLift1 negL) (stageB x1))
| oneL := (Now oneL)
def stageCl {A : Type} : ((ClRingTerm A) → (Staged (ClRingTerm A)))
| (sing x1) := (Now (sing x1))
| (timesCl x1 x2) := (stage2 timesCl (codeLift2 timesCl) (stageCl x1) (stageCl x2))
| (plusCl x1 x2) := (stage2 plusCl (codeLift2 plusCl) (stageCl x1) (stageCl x2))
| zeroCl := (Now zeroCl)
| (negCl x1) := (stage1 negCl (codeLift1 negCl) (stageCl x1))
| oneCl := (Now oneCl)
def stageOpB {n : ℕ} : ((OpRingTerm n) → (Staged (OpRingTerm n)))
| (v x1) := (const (code (v x1)))
| (timesOL x1 x2) := (stage2 timesOL (codeLift2 timesOL) (stageOpB x1) (stageOpB x2))
| (plusOL x1 x2) := (stage2 plusOL (codeLift2 plusOL) (stageOpB x1) (stageOpB x2))
| zeroOL := (Now zeroOL)
| (negOL x1) := (stage1 negOL (codeLift1 negOL) (stageOpB x1))
| oneOL := (Now oneOL)
def stageOp {n : ℕ} {A : Type} : ((OpRingTerm2 n A) → (Staged (OpRingTerm2 n A)))
| (sing2 x1) := (Now (sing2 x1))
| (v2 x1) := (const (code (v2 x1)))
| (timesOL2 x1 x2) := (stage2 timesOL2 (codeLift2 timesOL2) (stageOp x1) (stageOp x2))
| (plusOL2 x1 x2) := (stage2 plusOL2 (codeLift2 plusOL2) (stageOp x1) (stageOp x2))
| zeroOL2 := (Now zeroOL2)
| (negOL2 x1) := (stage1 negOL2 (codeLift1 negOL2) (stageOp x1))
| oneOL2 := (Now oneOL2)
structure StagedRepr (A : Type) (Repr : (Type → Type)) : Type :=
(timesT : ((Repr A) → ((Repr A) → (Repr A))))
(plusT : ((Repr A) → ((Repr A) → (Repr A))))
(zeroT : (Repr A))
(negT : ((Repr A) → (Repr A)))
(oneT : (Repr A))
end Ring |
3c660574b4ce7f07c87ecf4b62f04be64786e62a | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/analysis/special_functions/stirling.lean | ae5e25a3b556b3c966dfa6c66686ae78c0abdfca | [
"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 | 11,865 | lean | /-
Copyright (c) 2022. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Moritz Firsching, Fabian Kruse, Nikolas Kuhn
-/
import analysis.p_series
import analysis.special_functions.log.deriv
import tactic.positivity
import data.real.pi.wallis
/-!
# Stirling's formula
This file proves Stirling's formula for the factorial.
It states that $n!$ grows asymptotically like $\sqrt{2\pi n}(\frac{n}{e})^n$.
## Proof outline
The proof follows: <https://proofwiki.org/wiki/Stirling%27s_Formula>.
We proceed in two parts.
### Part 1
We consider the fraction sequence $a_n$ of fractions $\frac{n!}{\sqrt{2n}(\frac{n}{e})^n}$ and
prove that this sequence converges against a real, positive number $a$. For this the two main
ingredients are
- taking the logarithm of the sequence and
- use the series expansion of $\log(1 + x)$.
### Part 2
We use the fact that the series defined in part 1 converges againt a real number $a$ and prove that
$a = \sqrt{\pi}$. Here the main ingredient is the convergence of the Wallis product.
-/
open_locale topological_space real big_operators nat
open finset filter nat real
namespace stirling
/-!
### Part 1
https://proofwiki.org/wiki/Stirling%27s_Formula#Part_1
-/
/--
Define `stirling_seq n` as $\frac{n!}{\sqrt{2n}(\frac{n}{e})^n}$.
Stirling's formula states that this sequence has limit $\sqrt(π)$.
-/
noncomputable def stirling_seq (n : ℕ) : ℝ :=
n! / (sqrt (2 * n) * (n / exp 1) ^ n)
@[simp] lemma stirling_seq_zero : stirling_seq 0 = 0 :=
by rw [stirling_seq, cast_zero, mul_zero, real.sqrt_zero, zero_mul, div_zero]
@[simp] lemma stirling_seq_one : stirling_seq 1 = exp 1 / sqrt 2 :=
by rw [stirling_seq, pow_one, factorial_one, cast_one, mul_one, mul_one_div, one_div_div]
/--
We have the expression
`log (stirling_seq (n + 1)) = log(n + 1)! - 1 / 2 * log(2 * n) - n * log ((n + 1) / e)`.
-/
lemma log_stirling_seq_formula (n : ℕ) : log (stirling_seq n.succ) =
log n.succ!- 1 / 2 * log (2 * n.succ) - n.succ * log (n.succ / exp 1) :=
by rw [stirling_seq, log_div, log_mul, sqrt_eq_rpow, log_rpow, real.log_pow, tsub_tsub];
try { apply ne_of_gt }; positivity -- TODO: Make `positivity` handle `≠ 0` goals
/--
The sequence `log (stirling_seq (m + 1)) - log (stirling_seq (m + 2))` has the series expansion
`∑ 1 / (2 * (k + 1) + 1) * (1 / 2 * (m + 1) + 1)^(2 * (k + 1))`
-/
lemma log_stirling_seq_diff_has_sum (m : ℕ) :
has_sum (λ k : ℕ, (1 : ℝ) / (2 * k.succ + 1) * ((1 / (2 * m.succ + 1)) ^ 2) ^ k.succ)
(log (stirling_seq m.succ) - log (stirling_seq m.succ.succ)) :=
begin
change has_sum ((λ b : ℕ, 1 / (2 * (b : ℝ) + 1) * ((1 / (2 * m.succ + 1)) ^ 2) ^ b) ∘ succ) _,
refine (has_sum_nat_add_iff 1).mpr _,
convert (has_sum_log_one_add_inv $ cast_pos.mpr (succ_pos m)).mul_left ((m.succ : ℝ) + 1 / 2),
{ ext k,
rw [← pow_mul, pow_add],
push_cast,
have : 2 * (k : ℝ) + 1 ≠ 0, {norm_cast, exact succ_ne_zero (2*k)},
have : 2 * ((m : ℝ) + 1) + 1 ≠ 0, {norm_cast, exact succ_ne_zero (2*m.succ)},
field_simp,
ring },
{ have h : ∀ (x : ℝ) (hx : x ≠ 0), 1 + x⁻¹ = (x + 1) / x,
{ intros, rw [_root_.add_div, div_self hx, inv_eq_one_div], },
simp only [log_stirling_seq_formula, log_div, log_mul, log_exp, factorial_succ, cast_mul,
cast_succ, cast_zero, range_one, sum_singleton, h] { discharger :=
`[norm_cast, apply_rules [mul_ne_zero, succ_ne_zero, factorial_ne_zero, exp_ne_zero]] },
ring },
end
/-- The sequence `log ∘ stirling_seq ∘ succ` is monotone decreasing -/
lemma log_stirling_seq'_antitone : antitone (real.log ∘ stirling_seq ∘ succ) :=
antitone_nat_of_succ_le $ λ n, sub_nonneg.mp $ (log_stirling_seq_diff_has_sum n).nonneg $ λ m,
by positivity
/--
We have a bound for successive elements in the sequence `log (stirling_seq k)`.
-/
lemma log_stirling_seq_diff_le_geo_sum (n : ℕ) :
log (stirling_seq n.succ) - log (stirling_seq n.succ.succ) ≤
(1 / (2 * n.succ + 1)) ^ 2 / (1 - (1 / (2 * n.succ + 1)) ^ 2) :=
begin
have h_nonneg : 0 ≤ ((1 / (2 * (n.succ : ℝ) + 1)) ^ 2) := sq_nonneg _,
have g : has_sum (λ k : ℕ, ((1 / (2 * (n.succ : ℝ) + 1)) ^ 2) ^ k.succ)
((1 / (2 * n.succ + 1)) ^ 2 / (1 - (1 / (2 * n.succ + 1)) ^ 2)),
{ refine (has_sum_geometric_of_lt_1 h_nonneg _).mul_left ((1 / (2 * (n.succ : ℝ) + 1)) ^ 2),
rw [one_div, inv_pow],
exact inv_lt_one (one_lt_pow ((lt_add_iff_pos_left 1).mpr $ by positivity) two_ne_zero) },
have hab : ∀ (k : ℕ), (1 / (2 * (k.succ : ℝ) + 1)) * ((1 / (2 * n.succ + 1)) ^ 2) ^ k.succ ≤
((1 / (2 * n.succ + 1)) ^ 2) ^ k.succ,
{ refine λ k, mul_le_of_le_one_left (pow_nonneg h_nonneg k.succ) _,
rw one_div,
exact inv_le_one (le_add_of_nonneg_left $ by positivity) },
exact has_sum_le hab (log_stirling_seq_diff_has_sum n) g,
end
/--
We have the bound `log (stirling_seq n) - log (stirling_seq (n+1))` ≤ 1/(4 n^2)
-/
lemma log_stirling_seq_sub_log_stirling_seq_succ (n : ℕ) :
log (stirling_seq n.succ) - log (stirling_seq n.succ.succ) ≤ 1 / (4 * n.succ ^ 2) :=
begin
have h₁ : 0 < 4 * ((n : ℝ) + 1) ^ 2 := by positivity,
have h₃ : 0 < (2 * ((n : ℝ) + 1) + 1) ^ 2 := by positivity,
have h₂ : 0 < 1 - (1 / (2 * ((n : ℝ) + 1) + 1)) ^ 2,
{ rw ← mul_lt_mul_right h₃,
have H : 0 < (2 * ((n : ℝ) + 1) + 1) ^ 2 - 1 := by nlinarith [@cast_nonneg ℝ _ n],
convert H using 1; field_simp [h₃.ne'] },
refine (log_stirling_seq_diff_le_geo_sum n).trans _,
push_cast,
rw div_le_div_iff h₂ h₁,
field_simp [h₃.ne'],
rw div_le_div_right h₃,
ring_nf,
norm_cast,
linarith,
end
/-- For any `n`, we have `log_stirling_seq 1 - log_stirling_seq n ≤ 1/4 * ∑' 1/k^2` -/
lemma log_stirling_seq_bounded_aux :
∃ (c : ℝ), ∀ (n : ℕ), log (stirling_seq 1) - log (stirling_seq n.succ) ≤ c :=
begin
let d := ∑' k : ℕ, (1 : ℝ) / k.succ ^ 2,
use (1 / 4 * d : ℝ),
let log_stirling_seq' : ℕ → ℝ := λ k, log (stirling_seq k.succ),
intro n,
have h₁ : ∀ k, log_stirling_seq' k - log_stirling_seq' (k + 1) ≤ 1 / 4 * (1 / k.succ ^ 2) :=
by { intro k, convert log_stirling_seq_sub_log_stirling_seq_succ k using 1, field_simp, },
have h₂ : ∑ (k : ℕ) in range n, (1 : ℝ) / (k.succ) ^ 2 ≤ d := by
{ exact sum_le_tsum (range n) (λ k _, by positivity)
((summable_nat_add_iff 1).mpr $ real.summable_one_div_nat_pow.mpr one_lt_two) },
calc
log (stirling_seq 1) - log (stirling_seq n.succ) = log_stirling_seq' 0 - log_stirling_seq' n : rfl
... = ∑ k in range n, (log_stirling_seq' k - log_stirling_seq' (k + 1)) : by
rw ← sum_range_sub' log_stirling_seq' n
... ≤ ∑ k in range n, (1/4) * (1 / k.succ^2) : sum_le_sum (λ k _, h₁ k)
... = 1 / 4 * ∑ k in range n, 1 / k.succ ^ 2 : by rw mul_sum
... ≤ 1 / 4 * d : mul_le_mul_of_nonneg_left h₂ $ by positivity,
end
/-- The sequence `log_stirling_seq` is bounded below for `n ≥ 1`. -/
lemma log_stirling_seq_bounded_by_constant : ∃ c, ∀ (n : ℕ), c ≤ log (stirling_seq n.succ) :=
begin
obtain ⟨d, h⟩ := log_stirling_seq_bounded_aux,
exact ⟨log (stirling_seq 1) - d, λ n, sub_le_comm.mp (h n)⟩,
end
/-- The sequence `stirling_seq` is positive for `n > 0` -/
lemma stirling_seq'_pos (n : ℕ) : 0 < stirling_seq n.succ := by { unfold stirling_seq, positivity }
/--
The sequence `stirling_seq` has a positive lower bound.
-/
lemma stirling_seq'_bounded_by_pos_constant : ∃ a, 0 < a ∧ ∀ n : ℕ, a ≤ stirling_seq n.succ :=
begin
cases log_stirling_seq_bounded_by_constant with c h,
refine ⟨exp c, exp_pos _, λ n, _⟩,
rw ← le_log_iff_exp_le (stirling_seq'_pos n),
exact h n,
end
/-- The sequence `stirling_seq ∘ succ` is monotone decreasing -/
lemma stirling_seq'_antitone : antitone (stirling_seq ∘ succ) :=
λ n m h, (log_le_log (stirling_seq'_pos m) (stirling_seq'_pos n)).mp (log_stirling_seq'_antitone h)
/-- The limit `a` of the sequence `stirling_seq` satisfies `0 < a` -/
lemma stirling_seq_has_pos_limit_a :
∃ (a : ℝ), 0 < a ∧ tendsto stirling_seq at_top (𝓝 a) :=
begin
obtain ⟨x, x_pos, hx⟩ := stirling_seq'_bounded_by_pos_constant,
have hx' : x ∈ lower_bounds (set.range (stirling_seq ∘ succ)) := by simpa [lower_bounds] using hx,
refine ⟨_, lt_of_lt_of_le x_pos (le_cInf (set.range_nonempty _) hx'), _⟩,
rw ←filter.tendsto_add_at_top_iff_nat 1,
exact tendsto_at_top_cinfi stirling_seq'_antitone ⟨x, hx'⟩,
end
/-!
### Part 2
https://proofwiki.org/wiki/Stirling%27s_Formula#Part_2
-/
/-- For `n : ℕ`, define `w n` as `2^(4*n) * n!^4 / ((2*n)!^2 * (2*n + 1))` -/
noncomputable def w (n : ℕ) : ℝ :=
(2 ^ (4 * n) * n! ^ 4) / ((2 * n)!^ 2 * (2 * n + 1))
/-- The sequence `w n` converges to `π/2` -/
lemma tendsto_w_at_top: tendsto (λ (n : ℕ), w n) at_top (𝓝 (π/2)) :=
begin
convert tendsto_prod_pi_div_two,
funext n,
induction n with n ih,
{ rw [w, prod_range_zero, cast_zero, mul_zero, pow_zero, one_mul, mul_zero, factorial_zero,
cast_one, one_pow, one_pow, one_mul, mul_zero, zero_add, div_one] },
rw [w, prod_range_succ, ←ih, w, _root_.div_mul_div_comm, _root_.div_mul_div_comm],
refine (div_eq_div_iff _ _).mpr _,
any_goals { exact ne_of_gt (by positivity) },
simp_rw [nat.mul_succ, factorial_succ, pow_succ],
push_cast,
ring_nf,
end
/-- The sequence `n / (2 * n + 1)` tends to `1/2` -/
lemma tendsto_self_div_two_mul_self_add_one :
tendsto (λ (n : ℕ), (n : ℝ) / (2 * n + 1)) at_top (𝓝 (1 / 2)) :=
begin
conv { congr, skip, skip, rw [one_div, ←add_zero (2 : ℝ)] },
refine (((tendsto_const_div_at_top_nhds_0_nat 1).const_add (2 : ℝ)).inv₀
((add_zero (2 : ℝ)).symm ▸ two_ne_zero)).congr' (eventually_at_top.mpr ⟨1, λ n hn, _⟩),
rw [add_div' (1 : ℝ) (2 : ℝ) (n : ℝ) (cast_ne_zero.mpr (one_le_iff_ne_zero.mp hn)), inv_div],
end
/-- For any `n ≠ 0`, we have the identity
`(stirling_seq n)^4/(stirling_seq (2*n))^2 * (n / (2 * n + 1)) = w n`. -/
lemma stirling_seq_pow_four_div_stirling_seq_pow_two_eq (n : ℕ) (hn : n ≠ 0) :
((stirling_seq n) ^ 4 / (stirling_seq (2 * n)) ^ 2) * (n / (2 * n + 1)) = w n :=
begin
rw [bit0_eq_two_mul, stirling_seq, pow_mul, stirling_seq, w],
simp_rw [div_pow, mul_pow],
rw [sq_sqrt, sq_sqrt],
any_goals { positivity },
have : (n : ℝ) ≠ 0, from cast_ne_zero.mpr hn,
have : (exp 1) ≠ 0, from exp_ne_zero 1,
have : ((2 * n)!: ℝ) ≠ 0, from cast_ne_zero.mpr (factorial_ne_zero (2 * n)),
have : 2 * (n : ℝ) + 1 ≠ 0, by {norm_cast, exact succ_ne_zero (2*n)},
field_simp,
simp only [mul_pow, mul_comm 2 n, mul_comm 4 n, pow_mul],
ring,
end
/--
Suppose the sequence `stirling_seq` (defined above) has the limit `a ≠ 0`.
Then the sequence `w` has limit `a^2/2`
-/
lemma second_wallis_limit (a : ℝ) (hane : a ≠ 0) (ha : tendsto stirling_seq at_top (𝓝 a)) :
tendsto w at_top (𝓝 (a ^ 2 / 2)):=
begin
refine tendsto.congr' (eventually_at_top.mpr ⟨1, λ n hn,
stirling_seq_pow_four_div_stirling_seq_pow_two_eq n (one_le_iff_ne_zero.mp hn)⟩) _,
have h : a ^ 2 / 2 = (a ^ 4 / a ^ 2) * (1 / 2),
{ rw [mul_one_div, ←mul_one_div (a ^ 4) (a ^ 2), one_div, ←pow_sub_of_lt a],
norm_num },
rw h,
exact ((ha.pow 4).div ((ha.comp (tendsto_id.const_mul_at_top' two_pos)).pow 2)
(pow_ne_zero 2 hane)).mul tendsto_self_div_two_mul_self_add_one,
end
/-- **Stirling's Formula** -/
theorem tendsto_stirling_seq_sqrt_pi : tendsto (λ (n : ℕ), stirling_seq n) at_top (𝓝 (sqrt π)) :=
begin
obtain ⟨a, hapos, halimit⟩ := stirling_seq_has_pos_limit_a,
have hπ : π / 2 = a ^ 2 / 2 := tendsto_nhds_unique tendsto_w_at_top
(second_wallis_limit a (ne_of_gt hapos) halimit),
rwa [(div_left_inj' (show (2 : ℝ) ≠ 0, from two_ne_zero)).mp hπ, sqrt_sq hapos.le],
end
end stirling
|
b98f88e1e91c646d4a7ca9fbb2c47c968d612f96 | 77c5b91fae1b966ddd1db969ba37b6f0e4901e88 | /src/computability/turing_machine.lean | 7cb89dc012cc465c2fdaa32be387841c48263fa8 | [
"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 | 109,942 | 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 algebra.order.basic
import data.fintype.basic
import data.pfun
import tactic.apply_fun
import logic.function.iterate
/-!
# Turing machines
This file defines a sequence of simple machine languages, starting with Turing machines and working
up to more complex languages based on Wang B-machines.
## Naming conventions
Each model of computation in this file shares a naming convention for the elements of a model of
computation. These are the parameters for the language:
* `Γ` is the alphabet on the tape.
* `Λ` is the set of labels, or internal machine states.
* `σ` is the type of internal memory, not on the tape. This does not exist in the TM0 model, and
later models achieve this by mixing it into `Λ`.
* `K` is used in the TM2 model, which has multiple stacks, and denotes the number of such stacks.
All of these variables denote "essentially finite" types, but for technical reasons it is
convenient to allow them to be infinite anyway. When using an infinite type, we will be interested
to prove that only finitely many values of the type are ever interacted with.
Given these parameters, there are a few common structures for the model that arise:
* `stmt` is the set of all actions that can be performed in one step. For the TM0 model this set is
finite, and for later models it is an infinite inductive type representing "possible program
texts".
* `cfg` is the set of instantaneous configurations, that is, the state of the machine together with
its environment.
* `machine` is the set of all machines in the model. Usually this is approximately a function
`Λ → stmt`, although different models have different ways of halting and other actions.
* `step : cfg → option cfg` is the function that describes how the state evolves over one step.
If `step c = none`, then `c` is a terminal state, and the result of the computation is read off
from `c`. Because of the type of `step`, these models are all deterministic by construction.
* `init : input → cfg` sets up the initial state. The type `input` depends on the model;
in most cases it is `list Γ`.
* `eval : machine → input → part output`, given a machine `M` and input `i`, starts from
`init i`, runs `step` until it reaches an output, and then applies a function `cfg → output` to
the final state to obtain the result. The type `output` depends on the model.
* `supports : machine → finset Λ → Prop` asserts that a machine `M` starts in `S : finset Λ`, and
can only ever jump to other states inside `S`. This implies that the behavior of `M` on any input
cannot depend on its values outside `S`. We use this to allow `Λ` to be an infinite set when
convenient, and prove that only finitely many of these states are actually accessible. This
formalizes "essentially finite" mentioned above.
-/
open relation
open nat (iterate)
open function (update iterate_succ iterate_succ_apply iterate_succ'
iterate_succ_apply' iterate_zero_apply)
namespace turing
/-- The `blank_extends` partial order holds of `l₁` and `l₂` if `l₂` is obtained by adding
blanks (`default Γ`) to the end of `l₁`. -/
def blank_extends {Γ} [inhabited Γ] (l₁ l₂ : list Γ) : Prop :=
∃ n, l₂ = l₁ ++ list.repeat (default Γ) n
@[refl] theorem blank_extends.refl {Γ} [inhabited Γ] (l : list Γ) : blank_extends l l :=
⟨0, by simp⟩
@[trans] theorem blank_extends.trans {Γ} [inhabited Γ] {l₁ l₂ l₃ : list Γ} :
blank_extends l₁ l₂ → blank_extends l₂ l₃ → blank_extends l₁ l₃ :=
by rintro ⟨i, rfl⟩ ⟨j, rfl⟩; exact ⟨i+j, by simp [list.repeat_add]⟩
theorem blank_extends.below_of_le {Γ} [inhabited Γ] {l l₁ l₂ : list Γ} :
blank_extends l l₁ → blank_extends l l₂ →
l₁.length ≤ l₂.length → blank_extends l₁ l₂ :=
begin
rintro ⟨i, rfl⟩ ⟨j, rfl⟩ h, use j - i,
simp only [list.length_append, add_le_add_iff_left, list.length_repeat] at h,
simp only [← list.repeat_add, nat.add_sub_cancel' h, list.append_assoc],
end
/-- Any two extensions by blank `l₁,l₂` of `l` have a common join (which can be taken to be the
longer of `l₁` and `l₂`). -/
def blank_extends.above {Γ} [inhabited Γ] {l l₁ l₂ : list Γ}
(h₁ : blank_extends l l₁) (h₂ : blank_extends l l₂) :
{l' // blank_extends l₁ l' ∧ blank_extends l₂ l'} :=
if h : l₁.length ≤ l₂.length then
⟨l₂, h₁.below_of_le h₂ h, blank_extends.refl _⟩
else
⟨l₁, blank_extends.refl _, h₂.below_of_le h₁ (le_of_not_ge h)⟩
theorem blank_extends.above_of_le {Γ} [inhabited Γ] {l l₁ l₂ : list Γ} :
blank_extends l₁ l → blank_extends l₂ l →
l₁.length ≤ l₂.length → blank_extends l₁ l₂ :=
begin
rintro ⟨i, rfl⟩ ⟨j, e⟩ h, use i - j,
refine list.append_right_cancel (e.symm.trans _),
rw [list.append_assoc, ← list.repeat_add, nat.sub_add_cancel],
apply_fun list.length at e,
simp only [list.length_append, list.length_repeat] at e,
rwa [← add_le_add_iff_left, e, add_le_add_iff_right]
end
/-- `blank_rel` is the symmetric closure of `blank_extends`, turning it into an equivalence
relation. Two lists are related by `blank_rel` if one extends the other by blanks. -/
def blank_rel {Γ} [inhabited Γ] (l₁ l₂ : list Γ) : Prop :=
blank_extends l₁ l₂ ∨ blank_extends l₂ l₁
@[refl] theorem blank_rel.refl {Γ} [inhabited Γ] (l : list Γ) : blank_rel l l :=
or.inl (blank_extends.refl _)
@[symm] theorem blank_rel.symm {Γ} [inhabited Γ] {l₁ l₂ : list Γ} :
blank_rel l₁ l₂ → blank_rel l₂ l₁ := or.symm
@[trans] theorem blank_rel.trans {Γ} [inhabited Γ] {l₁ l₂ l₃ : list Γ} :
blank_rel l₁ l₂ → blank_rel l₂ l₃ → blank_rel l₁ l₃ :=
begin
rintro (h₁|h₁) (h₂|h₂),
{ exact or.inl (h₁.trans h₂) },
{ cases le_total l₁.length l₃.length with h h,
{ exact or.inl (h₁.above_of_le h₂ h) },
{ exact or.inr (h₂.above_of_le h₁ h) } },
{ cases le_total l₁.length l₃.length with h h,
{ exact or.inl (h₁.below_of_le h₂ h) },
{ exact or.inr (h₂.below_of_le h₁ h) } },
{ exact or.inr (h₂.trans h₁) },
end
/-- Given two `blank_rel` lists, there exists (constructively) a common join. -/
def blank_rel.above {Γ} [inhabited Γ] {l₁ l₂ : list Γ} (h : blank_rel l₁ l₂) :
{l // blank_extends l₁ l ∧ blank_extends l₂ l} :=
begin
refine if hl : l₁.length ≤ l₂.length
then ⟨l₂, or.elim h id (λ h', _), blank_extends.refl _⟩
else ⟨l₁, blank_extends.refl _, or.elim h (λ h', _) id⟩,
exact (blank_extends.refl _).above_of_le h' hl,
exact (blank_extends.refl _).above_of_le h' (le_of_not_ge hl)
end
/-- Given two `blank_rel` lists, there exists (constructively) a common meet. -/
def blank_rel.below {Γ} [inhabited Γ] {l₁ l₂ : list Γ} (h : blank_rel l₁ l₂) :
{l // blank_extends l l₁ ∧ blank_extends l l₂} :=
begin
refine if hl : l₁.length ≤ l₂.length
then ⟨l₁, blank_extends.refl _, or.elim h id (λ h', _)⟩
else ⟨l₂, or.elim h (λ h', _) id, blank_extends.refl _⟩,
exact (blank_extends.refl _).above_of_le h' hl,
exact (blank_extends.refl _).above_of_le h' (le_of_not_ge hl)
end
theorem blank_rel.equivalence (Γ) [inhabited Γ] : equivalence (@blank_rel Γ _) :=
⟨blank_rel.refl, @blank_rel.symm _ _, @blank_rel.trans _ _⟩
/-- Construct a setoid instance for `blank_rel`. -/
def blank_rel.setoid (Γ) [inhabited Γ] : setoid (list Γ) := ⟨_, blank_rel.equivalence _⟩
/-- A `list_blank Γ` is a quotient of `list Γ` by extension by blanks at the end. This is used to
represent half-tapes of a Turing machine, so that we can pretend that the list continues
infinitely with blanks. -/
def list_blank (Γ) [inhabited Γ] := quotient (blank_rel.setoid Γ)
instance list_blank.inhabited {Γ} [inhabited Γ] : inhabited (list_blank Γ) := ⟨quotient.mk' []⟩
instance list_blank.has_emptyc {Γ} [inhabited Γ] : has_emptyc (list_blank Γ) := ⟨quotient.mk' []⟩
/-- A modified version of `quotient.lift_on'` specialized for `list_blank`, with the stronger
precondition `blank_extends` instead of `blank_rel`. -/
@[elab_as_eliminator, reducible]
protected def list_blank.lift_on {Γ} [inhabited Γ] {α} (l : list_blank Γ) (f : list Γ → α)
(H : ∀ a b, blank_extends a b → f a = f b) : α :=
l.lift_on' f $ by rintro a b (h|h); [exact H _ _ h, exact (H _ _ h).symm]
/-- The quotient map turning a `list` into a `list_blank`. -/
def list_blank.mk {Γ} [inhabited Γ] : list Γ → list_blank Γ := quotient.mk'
@[elab_as_eliminator]
protected lemma list_blank.induction_on {Γ} [inhabited Γ]
{p : list_blank Γ → Prop} (q : list_blank Γ)
(h : ∀ a, p (list_blank.mk a)) : p q := quotient.induction_on' q h
/-- The head of a `list_blank` is well defined. -/
def list_blank.head {Γ} [inhabited Γ] (l : list_blank Γ) : Γ :=
l.lift_on list.head begin
rintro _ _ ⟨i, rfl⟩,
cases a, {cases i; refl}, refl
end
@[simp] theorem list_blank.head_mk {Γ} [inhabited Γ] (l : list Γ) :
list_blank.head (list_blank.mk l) = l.head := rfl
/-- The tail of a `list_blank` is well defined (up to the tail of blanks). -/
def list_blank.tail {Γ} [inhabited Γ] (l : list_blank Γ) : list_blank Γ :=
l.lift_on (λ l, list_blank.mk l.tail) begin
rintro _ _ ⟨i, rfl⟩,
refine quotient.sound' (or.inl _),
cases a; [{cases i; [exact ⟨0, rfl⟩, exact ⟨i, rfl⟩]}, exact ⟨i, rfl⟩]
end
@[simp] theorem list_blank.tail_mk {Γ} [inhabited Γ] (l : list Γ) :
list_blank.tail (list_blank.mk l) = list_blank.mk l.tail := rfl
/-- We can cons an element onto a `list_blank`. -/
def list_blank.cons {Γ} [inhabited Γ] (a : Γ) (l : list_blank Γ) : list_blank Γ :=
l.lift_on (λ l, list_blank.mk (list.cons a l)) begin
rintro _ _ ⟨i, rfl⟩,
exact quotient.sound' (or.inl ⟨i, rfl⟩),
end
@[simp] theorem list_blank.cons_mk {Γ} [inhabited Γ] (a : Γ) (l : list Γ) :
list_blank.cons a (list_blank.mk l) = list_blank.mk (a :: l) := rfl
@[simp] theorem list_blank.head_cons {Γ} [inhabited Γ] (a : Γ) :
∀ (l : list_blank Γ), (l.cons a).head = a :=
quotient.ind' $ by exact λ l, rfl
@[simp] theorem list_blank.tail_cons {Γ} [inhabited Γ] (a : Γ) :
∀ (l : list_blank Γ), (l.cons a).tail = l :=
quotient.ind' $ by exact λ l, rfl
/-- The `cons` and `head`/`tail` functions are mutually inverse, unlike in the case of `list` where
this only holds for nonempty lists. -/
@[simp] theorem list_blank.cons_head_tail {Γ} [inhabited Γ] :
∀ (l : list_blank Γ), l.tail.cons l.head = l :=
quotient.ind' begin
refine (λ l, quotient.sound' (or.inr _)),
cases l, {exact ⟨1, rfl⟩}, {refl},
end
/-- The `cons` and `head`/`tail` functions are mutually inverse, unlike in the case of `list` where
this only holds for nonempty lists. -/
theorem list_blank.exists_cons {Γ} [inhabited Γ] (l : list_blank Γ) :
∃ a l', l = list_blank.cons a l' :=
⟨_, _, (list_blank.cons_head_tail _).symm⟩
/-- The n-th element of a `list_blank` is well defined for all `n : ℕ`, unlike in a `list`. -/
def list_blank.nth {Γ} [inhabited Γ] (l : list_blank Γ) (n : ℕ) : Γ :=
l.lift_on (λ l, list.inth l n) begin
rintro l _ ⟨i, rfl⟩,
simp only [list.inth],
cases lt_or_le _ _ with h h, {rw list.nth_append h},
rw list.nth_len_le h,
cases le_or_lt _ _ with h₂ h₂, {rw list.nth_len_le h₂},
rw [list.nth_le_nth h₂, list.nth_le_append_right h, list.nth_le_repeat]
end
@[simp] theorem list_blank.nth_mk {Γ} [inhabited Γ] (l : list Γ) (n : ℕ) :
(list_blank.mk l).nth n = l.inth n := rfl
@[simp] theorem list_blank.nth_zero {Γ} [inhabited Γ] (l : list_blank Γ) : l.nth 0 = l.head :=
begin
conv {to_lhs, rw [← list_blank.cons_head_tail l]},
exact quotient.induction_on' l.tail (λ l, rfl)
end
@[simp] theorem list_blank.nth_succ {Γ} [inhabited Γ] (l : list_blank Γ) (n : ℕ) :
l.nth (n + 1) = l.tail.nth n :=
begin
conv {to_lhs, rw [← list_blank.cons_head_tail l]},
exact quotient.induction_on' l.tail (λ l, rfl)
end
@[ext] theorem list_blank.ext {Γ} [inhabited Γ] {L₁ L₂ : list_blank Γ} :
(∀ i, L₁.nth i = L₂.nth i) → L₁ = L₂ :=
list_blank.induction_on L₁ $ λ l₁, list_blank.induction_on L₂ $ λ l₂ H,
begin
wlog h : l₁.length ≤ l₂.length using l₁ l₂,
swap, { exact (this $ λ i, (H i).symm).symm },
refine quotient.sound' (or.inl ⟨l₂.length - l₁.length, _⟩),
refine list.ext_le _ (λ i h h₂, eq.symm _),
{ simp only [nat.add_sub_of_le h, list.length_append, list.length_repeat] },
simp at H,
cases lt_or_le i l₁.length with h' h',
{ simpa only [list.nth_le_append _ h',
list.nth_le_nth h, list.nth_le_nth h', option.iget] using H i },
{ simpa only [list.nth_le_append_right h', list.nth_le_repeat,
list.nth_le_nth h, list.nth_len_le h', option.iget] using H i },
end
/-- Apply a function to a value stored at the nth position of the list. -/
@[simp] def list_blank.modify_nth {Γ} [inhabited Γ] (f : Γ → Γ) : ℕ → list_blank Γ → list_blank Γ
| 0 L := L.tail.cons (f L.head)
| (n+1) L := (L.tail.modify_nth n).cons L.head
theorem list_blank.nth_modify_nth {Γ} [inhabited Γ] (f : Γ → Γ) (n i) (L : list_blank Γ) :
(L.modify_nth f n).nth i = if i = n then f (L.nth i) else L.nth i :=
begin
induction n with n IH generalizing i L,
{ cases i; simp only [list_blank.nth_zero, if_true,
list_blank.head_cons, list_blank.modify_nth, eq_self_iff_true,
list_blank.nth_succ, if_false, list_blank.tail_cons] },
{ cases i,
{ rw if_neg (nat.succ_ne_zero _).symm,
simp only [list_blank.nth_zero, list_blank.head_cons, list_blank.modify_nth] },
{ simp only [IH, list_blank.modify_nth, list_blank.nth_succ, list_blank.tail_cons],
congr } }
end
/-- A pointed map of `inhabited` types is a map that sends one default value to the other. -/
structure {u v} pointed_map (Γ : Type u) (Γ' : Type v)
[inhabited Γ] [inhabited Γ'] : Type (max u v) :=
(f : Γ → Γ') (map_pt' : f (default _) = default _)
instance {Γ Γ'} [inhabited Γ] [inhabited Γ'] : inhabited (pointed_map Γ Γ') :=
⟨⟨λ _, default _, rfl⟩⟩
instance {Γ Γ'} [inhabited Γ] [inhabited Γ'] : has_coe_to_fun (pointed_map Γ Γ') :=
⟨_, pointed_map.f⟩
@[simp] theorem pointed_map.mk_val {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : Γ → Γ') (pt) : (pointed_map.mk f pt : Γ → Γ') = f := rfl
@[simp] theorem pointed_map.map_pt {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : pointed_map Γ Γ') : f (default _) = default _ := pointed_map.map_pt' _
@[simp] theorem pointed_map.head_map {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : pointed_map Γ Γ') (l : list Γ) : (l.map f).head = f l.head :=
by cases l; [exact (pointed_map.map_pt f).symm, refl]
/-- The `map` function on lists is well defined on `list_blank`s provided that the map is
pointed. -/
def list_blank.map {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : pointed_map Γ Γ') (l : list_blank Γ) : list_blank Γ' :=
l.lift_on (λ l, list_blank.mk (list.map f l)) begin
rintro l _ ⟨i, rfl⟩, refine quotient.sound' (or.inl ⟨i, _⟩),
simp only [pointed_map.map_pt, list.map_append, list.map_repeat],
end
@[simp] theorem list_blank.map_mk {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : pointed_map Γ Γ') (l : list Γ) : (list_blank.mk l).map f = list_blank.mk (l.map f) := rfl
@[simp] theorem list_blank.head_map {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : pointed_map Γ Γ') (l : list_blank Γ) : (l.map f).head = f l.head :=
begin
conv {to_lhs, rw [← list_blank.cons_head_tail l]},
exact quotient.induction_on' l (λ a, rfl)
end
@[simp] theorem list_blank.tail_map {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : pointed_map Γ Γ') (l : list_blank Γ) : (l.map f).tail = l.tail.map f :=
begin
conv {to_lhs, rw [← list_blank.cons_head_tail l]},
exact quotient.induction_on' l (λ a, rfl)
end
@[simp] theorem list_blank.map_cons {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : pointed_map Γ Γ') (l : list_blank Γ) (a : Γ) : (l.cons a).map f = (l.map f).cons (f a) :=
begin
refine (list_blank.cons_head_tail _).symm.trans _,
simp only [list_blank.head_map, list_blank.head_cons, list_blank.tail_map, list_blank.tail_cons]
end
@[simp] theorem list_blank.nth_map {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : pointed_map Γ Γ') (l : list_blank Γ) (n : ℕ) : (l.map f).nth n = f (l.nth n) :=
l.induction_on begin
intro l, simp only [list.nth_map, list_blank.map_mk, list_blank.nth_mk, list.inth],
cases l.nth n, {exact f.2.symm}, {refl}
end
/-- The `i`-th projection as a pointed map. -/
def proj {ι : Type*} {Γ : ι → Type*} [∀ i, inhabited (Γ i)] (i : ι) :
pointed_map (∀ i, Γ i) (Γ i) := ⟨λ a, a i, rfl⟩
theorem proj_map_nth {ι : Type*} {Γ : ι → Type*} [∀ i, inhabited (Γ i)] (i : ι)
(L n) : (list_blank.map (@proj ι Γ _ i) L).nth n = L.nth n i :=
by rw list_blank.nth_map; refl
theorem list_blank.map_modify_nth {Γ Γ'} [inhabited Γ] [inhabited Γ']
(F : pointed_map Γ Γ') (f : Γ → Γ) (f' : Γ' → Γ')
(H : ∀ x, F (f x) = f' (F x)) (n) (L : list_blank Γ) :
(L.modify_nth f n).map F = (L.map F).modify_nth f' n :=
by induction n with n IH generalizing L; simp only [*,
list_blank.head_map, list_blank.modify_nth, list_blank.map_cons, list_blank.tail_map]
/-- Append a list on the left side of a list_blank. -/
@[simp] def list_blank.append {Γ} [inhabited Γ] : list Γ → list_blank Γ → list_blank Γ
| [] L := L
| (a :: l) L := list_blank.cons a (list_blank.append l L)
@[simp] theorem list_blank.append_mk {Γ} [inhabited Γ] (l₁ l₂ : list Γ) :
list_blank.append l₁ (list_blank.mk l₂) = list_blank.mk (l₁ ++ l₂) :=
by induction l₁; simp only [*,
list_blank.append, list.nil_append, list.cons_append, list_blank.cons_mk]
theorem list_blank.append_assoc {Γ} [inhabited Γ] (l₁ l₂ : list Γ) (l₃ : list_blank Γ) :
list_blank.append (l₁ ++ l₂) l₃ = list_blank.append l₁ (list_blank.append l₂ l₃) :=
l₃.induction_on $ by intro; simp only [list_blank.append_mk, list.append_assoc]
/-- The `bind` function on lists is well defined on `list_blank`s provided that the default element
is sent to a sequence of default elements. -/
def list_blank.bind {Γ Γ'} [inhabited Γ] [inhabited Γ']
(l : list_blank Γ) (f : Γ → list Γ')
(hf : ∃ n, f (default _) = list.repeat (default _) n) : list_blank Γ' :=
l.lift_on (λ l, list_blank.mk (list.bind l f)) begin
rintro l _ ⟨i, rfl⟩, cases hf with n e, refine quotient.sound' (or.inl ⟨i * n, _⟩),
rw [list.bind_append, mul_comm], congr,
induction i with i IH, refl,
simp only [IH, e, list.repeat_add, nat.mul_succ, add_comm, list.repeat_succ, list.cons_bind],
end
@[simp] lemma list_blank.bind_mk {Γ Γ'} [inhabited Γ] [inhabited Γ']
(l : list Γ) (f : Γ → list Γ') (hf) :
(list_blank.mk l).bind f hf = list_blank.mk (l.bind f) := rfl
@[simp] lemma list_blank.cons_bind {Γ Γ'} [inhabited Γ] [inhabited Γ']
(a : Γ) (l : list_blank Γ) (f : Γ → list Γ') (hf) :
(l.cons a).bind f hf = (l.bind f hf).append (f a) :=
l.induction_on $ by intro; simp only [list_blank.append_mk,
list_blank.bind_mk, list_blank.cons_mk, list.cons_bind]
/-- The tape of a Turing machine is composed of a head element (which we imagine to be the
current position of the head), together with two `list_blank`s denoting the portions of the tape
going off to the left and right. When the Turing machine moves right, an element is pulled from the
right side and becomes the new head, while the head element is consed onto the left side. -/
structure tape (Γ : Type*) [inhabited Γ] :=
(head : Γ)
(left : list_blank Γ)
(right : list_blank Γ)
instance tape.inhabited {Γ} [inhabited Γ] : inhabited (tape Γ) :=
⟨by constructor; apply default⟩
/-- A direction for the turing machine `move` command, either
left or right. -/
@[derive decidable_eq, derive inhabited]
inductive dir | left | right
/-- The "inclusive" left side of the tape, including both `left` and `head`. -/
def tape.left₀ {Γ} [inhabited Γ] (T : tape Γ) : list_blank Γ := T.left.cons T.head
/-- The "inclusive" right side of the tape, including both `right` and `head`. -/
def tape.right₀ {Γ} [inhabited Γ] (T : tape Γ) : list_blank Γ := T.right.cons T.head
/-- Move the tape in response to a motion of the Turing machine. Note that `T.move dir.left` makes
`T.left` smaller; the Turing machine is moving left and the tape is moving right. -/
def tape.move {Γ} [inhabited Γ] : dir → tape Γ → tape Γ
| dir.left ⟨a, L, R⟩ := ⟨L.head, L.tail, R.cons a⟩
| dir.right ⟨a, L, R⟩ := ⟨R.head, L.cons a, R.tail⟩
@[simp] theorem tape.move_left_right {Γ} [inhabited Γ] (T : tape Γ) :
(T.move dir.left).move dir.right = T :=
by cases T; simp [tape.move]
@[simp] theorem tape.move_right_left {Γ} [inhabited Γ] (T : tape Γ) :
(T.move dir.right).move dir.left = T :=
by cases T; simp [tape.move]
/-- Construct a tape from a left side and an inclusive right side. -/
def tape.mk' {Γ} [inhabited Γ] (L R : list_blank Γ) : tape Γ := ⟨R.head, L, R.tail⟩
@[simp] theorem tape.mk'_left {Γ} [inhabited Γ] (L R : list_blank Γ) :
(tape.mk' L R).left = L := rfl
@[simp] theorem tape.mk'_head {Γ} [inhabited Γ] (L R : list_blank Γ) :
(tape.mk' L R).head = R.head := rfl
@[simp] theorem tape.mk'_right {Γ} [inhabited Γ] (L R : list_blank Γ) :
(tape.mk' L R).right = R.tail := rfl
@[simp] theorem tape.mk'_right₀ {Γ} [inhabited Γ] (L R : list_blank Γ) :
(tape.mk' L R).right₀ = R := list_blank.cons_head_tail _
@[simp] theorem tape.mk'_left_right₀ {Γ} [inhabited Γ] (T : tape Γ) :
tape.mk' T.left T.right₀ = T :=
by cases T; simp only [tape.right₀, tape.mk',
list_blank.head_cons, list_blank.tail_cons, eq_self_iff_true, and_self]
theorem tape.exists_mk' {Γ} [inhabited Γ] (T : tape Γ) :
∃ L R, T = tape.mk' L R := ⟨_, _, (tape.mk'_left_right₀ _).symm⟩
@[simp] theorem tape.move_left_mk' {Γ} [inhabited Γ] (L R : list_blank Γ) :
(tape.mk' L R).move dir.left = tape.mk' L.tail (R.cons L.head) :=
by simp only [tape.move, tape.mk', list_blank.head_cons, eq_self_iff_true,
list_blank.cons_head_tail, and_self, list_blank.tail_cons]
@[simp] theorem tape.move_right_mk' {Γ} [inhabited Γ] (L R : list_blank Γ) :
(tape.mk' L R).move dir.right = tape.mk' (L.cons R.head) R.tail :=
by simp only [tape.move, tape.mk', list_blank.head_cons, eq_self_iff_true,
list_blank.cons_head_tail, and_self, list_blank.tail_cons]
/-- Construct a tape from a left side and an inclusive right side. -/
def tape.mk₂ {Γ} [inhabited Γ] (L R : list Γ) : tape Γ :=
tape.mk' (list_blank.mk L) (list_blank.mk R)
/-- Construct a tape from a list, with the head of the list at the TM head and the rest going
to the right. -/
def tape.mk₁ {Γ} [inhabited Γ] (l : list Γ) : tape Γ :=
tape.mk₂ [] l
/-- The `nth` function of a tape is integer-valued, with index `0` being the head, negative indexes
on the left and positive indexes on the right. (Picture a number line.) -/
def tape.nth {Γ} [inhabited Γ] (T : tape Γ) : ℤ → Γ
| 0 := T.head
| (n+1:ℕ) := T.right.nth n
| -[1+ n] := T.left.nth n
@[simp] theorem tape.nth_zero {Γ} [inhabited Γ] (T : tape Γ) : T.nth 0 = T.1 := rfl
theorem tape.right₀_nth {Γ} [inhabited Γ] (T : tape Γ) (n : ℕ) : T.right₀.nth n = T.nth n :=
by cases n; simp only [tape.nth, tape.right₀, int.coe_nat_zero,
list_blank.nth_zero, list_blank.nth_succ, list_blank.head_cons, list_blank.tail_cons]
@[simp] theorem tape.mk'_nth_nat {Γ} [inhabited Γ] (L R : list_blank Γ) (n : ℕ) :
(tape.mk' L R).nth n = R.nth n :=
by rw [← tape.right₀_nth, tape.mk'_right₀]
@[simp] theorem tape.move_left_nth {Γ} [inhabited Γ] :
∀ (T : tape Γ) (i : ℤ), (T.move dir.left).nth i = T.nth (i-1)
| ⟨a, L, R⟩ -[1+ n] := (list_blank.nth_succ _ _).symm
| ⟨a, L, R⟩ 0 := (list_blank.nth_zero _).symm
| ⟨a, L, R⟩ 1 := (list_blank.nth_zero _).trans (list_blank.head_cons _ _)
| ⟨a, L, R⟩ ((n+1:ℕ)+1) := begin
rw add_sub_cancel,
change (R.cons a).nth (n+1) = R.nth n,
rw [list_blank.nth_succ, list_blank.tail_cons]
end
@[simp] theorem tape.move_right_nth {Γ} [inhabited Γ] (T : tape Γ) (i : ℤ) :
(T.move dir.right).nth i = T.nth (i+1) :=
by conv {to_rhs, rw ← T.move_right_left}; rw [tape.move_left_nth, add_sub_cancel]
@[simp] theorem tape.move_right_n_head {Γ} [inhabited Γ] (T : tape Γ) (i : ℕ) :
((tape.move dir.right)^[i] T).head = T.nth i :=
by induction i generalizing T; [refl, simp only [*,
tape.move_right_nth, int.coe_nat_succ, iterate_succ]]
/-- Replace the current value of the head on the tape. -/
def tape.write {Γ} [inhabited Γ] (b : Γ) (T : tape Γ) : tape Γ := {head := b, ..T}
@[simp] theorem tape.write_self {Γ} [inhabited Γ] : ∀ (T : tape Γ), T.write T.1 = T :=
by rintro ⟨⟩; refl
@[simp] theorem tape.write_nth {Γ} [inhabited Γ] (b : Γ) :
∀ (T : tape Γ) {i : ℤ}, (T.write b).nth i = if i = 0 then b else T.nth i
| ⟨a, L, R⟩ 0 := rfl
| ⟨a, L, R⟩ (n+1:ℕ) := rfl
| ⟨a, L, R⟩ -[1+ n] := rfl
@[simp] theorem tape.write_mk' {Γ} [inhabited Γ] (a b : Γ) (L R : list_blank Γ) :
(tape.mk' L (R.cons a)).write b = tape.mk' L (R.cons b) :=
by simp only [tape.write, tape.mk', list_blank.head_cons, list_blank.tail_cons,
eq_self_iff_true, and_self]
/-- Apply a pointed map to a tape to change the alphabet. -/
def tape.map {Γ Γ'} [inhabited Γ] [inhabited Γ'] (f : pointed_map Γ Γ') (T : tape Γ) : tape Γ' :=
⟨f T.1, T.2.map f, T.3.map f⟩
@[simp] theorem tape.map_fst {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : pointed_map Γ Γ') : ∀ (T : tape Γ), (T.map f).1 = f T.1 :=
by rintro ⟨⟩; refl
@[simp] theorem tape.map_write {Γ Γ'} [inhabited Γ] [inhabited Γ'] (f : pointed_map Γ Γ') (b : Γ) :
∀ (T : tape Γ), (T.write b).map f = (T.map f).write (f b) :=
by rintro ⟨⟩; refl
@[simp] theorem tape.write_move_right_n {Γ} [inhabited Γ] (f : Γ → Γ) (L R : list_blank Γ) (n : ℕ) :
((tape.move dir.right)^[n] (tape.mk' L R)).write (f (R.nth n)) =
((tape.move dir.right)^[n] (tape.mk' L (R.modify_nth f n))) :=
begin
induction n with n IH generalizing L R,
{ simp only [list_blank.nth_zero, list_blank.modify_nth, iterate_zero_apply],
rw [← tape.write_mk', list_blank.cons_head_tail] },
simp only [list_blank.head_cons, list_blank.nth_succ, list_blank.modify_nth,
tape.move_right_mk', list_blank.tail_cons, iterate_succ_apply, IH]
end
theorem tape.map_move {Γ Γ'} [inhabited Γ] [inhabited Γ']
(f : pointed_map Γ Γ') (T : tape Γ) (d) : (T.move d).map f = (T.map f).move d :=
by cases T; cases d; simp only [tape.move, tape.map,
list_blank.head_map, eq_self_iff_true, list_blank.map_cons, and_self, list_blank.tail_map]
theorem tape.map_mk' {Γ Γ'} [inhabited Γ] [inhabited Γ'] (f : pointed_map Γ Γ')
(L R : list_blank Γ) : (tape.mk' L R).map f = tape.mk' (L.map f) (R.map f) :=
by simp only [tape.mk', tape.map, list_blank.head_map,
eq_self_iff_true, and_self, list_blank.tail_map]
theorem tape.map_mk₂ {Γ Γ'} [inhabited Γ] [inhabited Γ'] (f : pointed_map Γ Γ')
(L R : list Γ) : (tape.mk₂ L R).map f = tape.mk₂ (L.map f) (R.map f) :=
by simp only [tape.mk₂, tape.map_mk', list_blank.map_mk]
theorem tape.map_mk₁ {Γ Γ'} [inhabited Γ] [inhabited Γ'] (f : pointed_map Γ Γ')
(l : list Γ) : (tape.mk₁ l).map f = tape.mk₁ (l.map f) := tape.map_mk₂ _ _ _
/-- Run a state transition function `σ → option σ` "to completion". The return value is the last
state returned before a `none` result. If the state transition function always returns `some`,
then the computation diverges, returning `part.none`. -/
def eval {σ} (f : σ → option σ) : σ → part σ :=
pfun.fix (λ s, part.some $ (f s).elim (sum.inl s) sum.inr)
/-- The reflexive transitive closure of a state transition function. `reaches f a b` means
there is a finite sequence of steps `f a = some a₁`, `f a₁ = some a₂`, ... such that `aₙ = b`.
This relation permits zero steps of the state transition function. -/
def reaches {σ} (f : σ → option σ) : σ → σ → Prop :=
refl_trans_gen (λ a b, b ∈ f a)
/-- The transitive closure of a state transition function. `reaches₁ f a b` means there is a
nonempty finite sequence of steps `f a = some a₁`, `f a₁ = some a₂`, ... such that `aₙ = b`.
This relation does not permit zero steps of the state transition function. -/
def reaches₁ {σ} (f : σ → option σ) : σ → σ → Prop :=
trans_gen (λ a b, b ∈ f a)
theorem reaches₁_eq {σ} {f : σ → option σ} {a b c}
(h : f a = f b) : reaches₁ f a c ↔ reaches₁ f b c :=
trans_gen.head'_iff.trans (trans_gen.head'_iff.trans $ by rw h).symm
theorem reaches_total {σ} {f : σ → option σ}
{a b c} (hab : reaches f a b) (hac : reaches f a c) :
reaches f b c ∨ reaches f c b :=
refl_trans_gen.total_of_right_unique (λ _ _ _, option.mem_unique) hab hac
theorem reaches₁_fwd {σ} {f : σ → option σ}
{a b c} (h₁ : reaches₁ f a c) (h₂ : b ∈ f a) : reaches f b c :=
begin
rcases trans_gen.head'_iff.1 h₁ with ⟨b', hab, hbc⟩,
cases option.mem_unique hab h₂, exact hbc
end
/-- A variation on `reaches`. `reaches₀ f a b` holds if whenever `reaches₁ f b c` then
`reaches₁ f a c`. This is a weaker property than `reaches` and is useful for replacing states with
equivalent states without taking a step. -/
def reaches₀ {σ} (f : σ → option σ) (a b : σ) : Prop :=
∀ c, reaches₁ f b c → reaches₁ f a c
theorem reaches₀.trans {σ} {f : σ → option σ} {a b c : σ}
(h₁ : reaches₀ f a b) (h₂ : reaches₀ f b c) : reaches₀ f a c
| d h₃ := h₁ _ (h₂ _ h₃)
@[refl] theorem reaches₀.refl {σ} {f : σ → option σ} (a : σ) : reaches₀ f a a
| b h := h
theorem reaches₀.single {σ} {f : σ → option σ} {a b : σ}
(h : b ∈ f a) : reaches₀ f a b
| c h₂ := h₂.head h
theorem reaches₀.head {σ} {f : σ → option σ} {a b c : σ}
(h : b ∈ f a) (h₂ : reaches₀ f b c) : reaches₀ f a c :=
(reaches₀.single h).trans h₂
theorem reaches₀.tail {σ} {f : σ → option σ} {a b c : σ}
(h₁ : reaches₀ f a b) (h : c ∈ f b) : reaches₀ f a c :=
h₁.trans (reaches₀.single h)
theorem reaches₀_eq {σ} {f : σ → option σ} {a b}
(e : f a = f b) : reaches₀ f a b
| d h := (reaches₁_eq e).2 h
theorem reaches₁.to₀ {σ} {f : σ → option σ} {a b : σ}
(h : reaches₁ f a b) : reaches₀ f a b
| c h₂ := h.trans h₂
theorem reaches.to₀ {σ} {f : σ → option σ} {a b : σ}
(h : reaches f a b) : reaches₀ f a b
| c h₂ := h₂.trans_right h
theorem reaches₀.tail' {σ} {f : σ → option σ} {a b c : σ}
(h : reaches₀ f a b) (h₂ : c ∈ f b) : reaches₁ f a c :=
h _ (trans_gen.single h₂)
/-- (co-)Induction principle for `eval`. If a property `C` holds of any point `a` evaluating to `b`
which is either terminal (meaning `a = b`) or where the next point also satisfies `C`, then it
holds of any point where `eval f a` evaluates to `b`. This formalizes the notion that if
`eval f a` evaluates to `b` then it reaches terminal state `b` in finitely many steps. -/
@[elab_as_eliminator] def eval_induction {σ}
{f : σ → option σ} {b : σ} {C : σ → Sort*} {a : σ} (h : b ∈ eval f a)
(H : ∀ a, b ∈ eval f a →
(∀ a', b ∈ eval f a' → f a = some a' → C a') → C a) : C a :=
pfun.fix_induction h (λ a' ha' h', H _ ha' $ λ b' hb' e, h' _ hb' $
part.mem_some_iff.2 $ by rw e; refl)
theorem mem_eval {σ} {f : σ → option σ} {a b} :
b ∈ eval f a ↔ reaches f a b ∧ f b = none :=
⟨λ h, begin
refine eval_induction h (λ a h IH, _),
cases e : f a with a',
{ rw part.mem_unique h (pfun.mem_fix_iff.2 $ or.inl $
part.mem_some_iff.2 $ by rw e; refl),
exact ⟨refl_trans_gen.refl, e⟩ },
{ rcases pfun.mem_fix_iff.1 h with h | ⟨_, h, h'⟩;
rw e at h; cases part.mem_some_iff.1 h,
cases IH a' h' (by rwa e) with h₁ h₂,
exact ⟨refl_trans_gen.head e h₁, h₂⟩ }
end, λ ⟨h₁, h₂⟩, begin
refine refl_trans_gen.head_induction_on h₁ _ (λ a a' h _ IH, _),
{ refine pfun.mem_fix_iff.2 (or.inl _),
rw h₂, apply part.mem_some },
{ refine pfun.mem_fix_iff.2 (or.inr ⟨_, _, IH⟩),
rw show f a = _, from h,
apply part.mem_some }
end⟩
theorem eval_maximal₁ {σ} {f : σ → option σ} {a b}
(h : b ∈ eval f a) (c) : ¬ reaches₁ f b c | bc :=
let ⟨ab, b0⟩ := mem_eval.1 h, ⟨b', h', _⟩ := trans_gen.head'_iff.1 bc in
by cases b0.symm.trans h'
theorem eval_maximal {σ} {f : σ → option σ} {a b}
(h : b ∈ eval f a) {c} : reaches f b c ↔ c = b :=
let ⟨ab, b0⟩ := mem_eval.1 h in
refl_trans_gen_iff_eq $ λ b' h', by cases b0.symm.trans h'
theorem reaches_eval {σ} {f : σ → option σ} {a b}
(ab : reaches f a b) : eval f a = eval f b :=
part.ext $ λ c,
⟨λ h, let ⟨ac, c0⟩ := mem_eval.1 h in
mem_eval.2 ⟨(or_iff_left_of_imp $ by exact
λ cb, (eval_maximal h).1 cb ▸ refl_trans_gen.refl).1
(reaches_total ab ac), c0⟩,
λ h, let ⟨bc, c0⟩ := mem_eval.1 h in mem_eval.2 ⟨ab.trans bc, c0⟩,⟩
/-- Given a relation `tr : σ₁ → σ₂ → Prop` between state spaces, and state transition functions
`f₁ : σ₁ → option σ₁` and `f₂ : σ₂ → option σ₂`, `respects f₁ f₂ tr` means that if `tr a₁ a₂` holds
initially and `f₁` takes a step to `a₂` then `f₂` will take one or more steps before reaching a
state `b₂` satisfying `tr a₂ b₂`, and if `f₁ a₁` terminates then `f₂ a₂` also terminates.
Such a relation `tr` is also known as a refinement. -/
def respects {σ₁ σ₂}
(f₁ : σ₁ → option σ₁) (f₂ : σ₂ → option σ₂) (tr : σ₁ → σ₂ → Prop) :=
∀ ⦃a₁ a₂⦄, tr a₁ a₂ → (match f₁ a₁ with
| some b₁ := ∃ b₂, tr b₁ b₂ ∧ reaches₁ f₂ a₂ b₂
| none := f₂ a₂ = none
end : Prop)
theorem tr_reaches₁ {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop}
(H : respects f₁ f₂ tr) {a₁ a₂} (aa : tr a₁ a₂) {b₁} (ab : reaches₁ f₁ a₁ b₁) :
∃ b₂, tr b₁ b₂ ∧ reaches₁ f₂ a₂ b₂ :=
begin
induction ab with c₁ ac c₁ d₁ ac cd IH,
{ have := H aa,
rwa (show f₁ a₁ = _, from ac) at this },
{ rcases IH with ⟨c₂, cc, ac₂⟩,
have := H cc,
rw (show f₁ c₁ = _, from cd) at this,
rcases this with ⟨d₂, dd, cd₂⟩,
exact ⟨_, dd, ac₂.trans cd₂⟩ }
end
theorem tr_reaches {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop}
(H : respects f₁ f₂ tr) {a₁ a₂} (aa : tr a₁ a₂) {b₁} (ab : reaches f₁ a₁ b₁) :
∃ b₂, tr b₁ b₂ ∧ reaches f₂ a₂ b₂ :=
begin
rcases refl_trans_gen_iff_eq_or_trans_gen.1 ab with rfl | ab,
{ exact ⟨_, aa, refl_trans_gen.refl⟩ },
{ exact let ⟨b₂, bb, h⟩ := tr_reaches₁ H aa ab in
⟨b₂, bb, h.to_refl⟩ }
end
theorem tr_reaches_rev {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop}
(H : respects f₁ f₂ tr) {a₁ a₂} (aa : tr a₁ a₂) {b₂} (ab : reaches f₂ a₂ b₂) :
∃ c₁ c₂, reaches f₂ b₂ c₂ ∧ tr c₁ c₂ ∧ reaches f₁ a₁ c₁ :=
begin
induction ab with c₂ d₂ ac cd IH,
{ exact ⟨_, _, refl_trans_gen.refl, aa, refl_trans_gen.refl⟩ },
{ rcases IH with ⟨e₁, e₂, ce, ee, ae⟩,
rcases refl_trans_gen.cases_head ce with rfl | ⟨d', cd', de⟩,
{ have := H ee, revert this,
cases eg : f₁ e₁ with g₁; simp only [respects, and_imp, exists_imp_distrib],
{ intro c0, cases cd.symm.trans c0 },
{ intros g₂ gg cg,
rcases trans_gen.head'_iff.1 cg with ⟨d', cd', dg⟩,
cases option.mem_unique cd cd',
exact ⟨_, _, dg, gg, ae.tail eg⟩ } },
{ cases option.mem_unique cd cd',
exact ⟨_, _, de, ee, ae⟩ } }
end
theorem tr_eval {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop}
(H : respects f₁ f₂ tr) {a₁ b₁ a₂} (aa : tr a₁ a₂)
(ab : b₁ ∈ eval f₁ a₁) : ∃ b₂, tr b₁ b₂ ∧ b₂ ∈ eval f₂ a₂ :=
begin
cases mem_eval.1 ab with ab b0,
rcases tr_reaches H aa ab with ⟨b₂, bb, ab⟩,
refine ⟨_, bb, mem_eval.2 ⟨ab, _⟩⟩,
have := H bb, rwa b0 at this
end
theorem tr_eval_rev {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop}
(H : respects f₁ f₂ tr) {a₁ b₂ a₂} (aa : tr a₁ a₂)
(ab : b₂ ∈ eval f₂ a₂) : ∃ b₁, tr b₁ b₂ ∧ b₁ ∈ eval f₁ a₁ :=
begin
cases mem_eval.1 ab with ab b0,
rcases tr_reaches_rev H aa ab with ⟨c₁, c₂, bc, cc, ac⟩,
cases (refl_trans_gen_iff_eq
(by exact option.eq_none_iff_forall_not_mem.1 b0)).1 bc,
refine ⟨_, cc, mem_eval.2 ⟨ac, _⟩⟩,
have := H cc, cases f₁ c₁ with d₁, {refl},
rcases this with ⟨d₂, dd, bd⟩,
rcases trans_gen.head'_iff.1 bd with ⟨e, h, _⟩,
cases b0.symm.trans h
end
theorem tr_eval_dom {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂ → Prop}
(H : respects f₁ f₂ tr) {a₁ a₂} (aa : tr a₁ a₂) :
(eval f₂ a₂).dom ↔ (eval f₁ a₁).dom :=
⟨λ h, let ⟨b₂, tr, h, _⟩ := tr_eval_rev H aa ⟨h, rfl⟩ in h,
λ h, let ⟨b₂, tr, h, _⟩ := tr_eval H aa ⟨h, rfl⟩ in h⟩
/-- A simpler version of `respects` when the state transition relation `tr` is a function. -/
def frespects {σ₁ σ₂} (f₂ : σ₂ → option σ₂) (tr : σ₁ → σ₂) (a₂ : σ₂) : option σ₁ → Prop
| (some b₁) := reaches₁ f₂ a₂ (tr b₁)
| none := f₂ a₂ = none
theorem frespects_eq {σ₁ σ₂} {f₂ : σ₂ → option σ₂} {tr : σ₁ → σ₂} {a₂ b₂}
(h : f₂ a₂ = f₂ b₂) : ∀ {b₁}, frespects f₂ tr a₂ b₁ ↔ frespects f₂ tr b₂ b₁
| (some b₁) := reaches₁_eq h
| none := by unfold frespects; rw h
theorem fun_respects {σ₁ σ₂ f₁ f₂} {tr : σ₁ → σ₂} :
respects f₁ f₂ (λ a b, tr a = b) ↔ ∀ ⦃a₁⦄, frespects f₂ tr (tr a₁) (f₁ a₁) :=
forall_congr $ λ a₁, by cases f₁ a₁; simp only [frespects, respects, exists_eq_left', forall_eq']
theorem tr_eval' {σ₁ σ₂}
(f₁ : σ₁ → option σ₁) (f₂ : σ₂ → option σ₂) (tr : σ₁ → σ₂)
(H : respects f₁ f₂ (λ a b, tr a = b))
(a₁) : eval f₂ (tr a₁) = tr <$> eval f₁ a₁ :=
part.ext $ λ b₂,
⟨λ h, let ⟨b₁, bb, hb⟩ := tr_eval_rev H rfl h in
(part.mem_map_iff _).2 ⟨b₁, hb, bb⟩,
λ h, begin
rcases (part.mem_map_iff _).1 h with ⟨b₁, ab, bb⟩,
rcases tr_eval H rfl ab with ⟨_, rfl, h⟩,
rwa bb at h
end⟩
/-!
## The TM0 model
A TM0 turing machine is essentially a Post-Turing machine, adapted for type theory.
A Post-Turing machine with symbol type `Γ` and label type `Λ` is a function
`Λ → Γ → option (Λ × stmt)`, where a `stmt` can be either `move left`, `move right` or `write a`
for `a : Γ`. The machine works over a "tape", a doubly-infinite sequence of elements of `Γ`, and
an instantaneous configuration, `cfg`, is a label `q : Λ` indicating the current internal state of
the machine, and a `tape Γ` (which is essentially `ℤ →₀ Γ`). The evolution is described by the
`step` function:
* If `M q T.head = none`, then the machine halts.
* If `M q T.head = some (q', s)`, then the machine performs action `s : stmt` and then transitions
to state `q'`.
The initial state takes a `list Γ` and produces a `tape Γ` where the head of the list is the head
of the tape and the rest of the list extends to the right, with the left side all blank. The final
state takes the entire right side of the tape right or equal to the current position of the
machine. (This is actually a `list_blank Γ`, not a `list Γ`, because we don't know, at this level
of generality, where the output ends. If equality to `default Γ` is decidable we can trim the list
to remove the infinite tail of blanks.)
-/
namespace TM0
section
parameters (Γ : Type*) [inhabited Γ] -- type of tape symbols
parameters (Λ : Type*) [inhabited Λ] -- type of "labels" or TM states
/-- A Turing machine "statement" is just a command to either move
left or right, or write a symbol on the tape. -/
inductive stmt
| move : dir → stmt
| write : Γ → stmt
instance stmt.inhabited : inhabited stmt := ⟨stmt.write (default _)⟩
/-- A Post-Turing machine with symbol type `Γ` and label type `Λ`
is a function which, given the current state `q : Λ` and
the tape head `a : Γ`, either halts (returns `none`) or returns
a new state `q' : Λ` and a `stmt` describing what to do,
either a move left or right, or a write command.
Both `Λ` and `Γ` are required to be inhabited; the default value
for `Γ` is the "blank" tape value, and the default value of `Λ` is
the initial state. -/
@[nolint unused_arguments] -- [inhabited Λ]: this is a deliberate addition, see comment
def machine := Λ → Γ → option (Λ × stmt)
instance machine.inhabited : inhabited machine := by unfold machine; apply_instance
/-- The configuration state of a Turing machine during operation
consists of a label (machine state), and a tape, represented in
the form `(a, L, R)` meaning the tape looks like `L.rev ++ [a] ++ R`
with the machine currently reading the `a`. The lists are
automatically extended with blanks as the machine moves around. -/
structure cfg :=
(q : Λ)
(tape : tape Γ)
instance cfg.inhabited : inhabited cfg := ⟨⟨default _, default _⟩⟩
parameters {Γ Λ}
/-- Execution semantics of the Turing machine. -/
def step (M : machine) : cfg → option cfg
| ⟨q, T⟩ := (M q T.1).map (λ ⟨q', a⟩, ⟨q',
match a with
| stmt.move d := T.move d
| stmt.write a := T.write a
end⟩)
/-- The statement `reaches M s₁ s₂` means that `s₂` is obtained
starting from `s₁` after a finite number of steps from `s₂`. -/
def reaches (M : machine) : cfg → cfg → Prop :=
refl_trans_gen (λ a b, b ∈ step M a)
/-- The initial configuration. -/
def init (l : list Γ) : cfg :=
⟨default Λ, tape.mk₁ l⟩
/-- Evaluate a Turing machine on initial input to a final state,
if it terminates. -/
def eval (M : machine) (l : list Γ) : part (list_blank Γ) :=
(eval (step M) (init l)).map (λ c, c.tape.right₀)
/-- The raw definition of a Turing machine does not require that
`Γ` and `Λ` are finite, and in practice we will be interested
in the infinite `Λ` case. We recover instead a notion of
"effectively finite" Turing machines, which only make use of a
finite subset of their states. We say that a set `S ⊆ Λ`
supports a Turing machine `M` if `S` is closed under the
transition function and contains the initial state. -/
def supports (M : machine) (S : set Λ) :=
default Λ ∈ S ∧ ∀ {q a q' s}, (q', s) ∈ M q a → q ∈ S → q' ∈ S
theorem step_supports (M : machine) {S}
(ss : supports M S) : ∀ {c c' : cfg},
c' ∈ step M c → c.q ∈ S → c'.q ∈ S
| ⟨q, T⟩ c' h₁ h₂ := begin
rcases option.map_eq_some'.1 h₁ with ⟨⟨q', a⟩, h, rfl⟩,
exact ss.2 h h₂,
end
theorem univ_supports (M : machine) : supports M set.univ :=
⟨trivial, λ q a q' s h₁ h₂, trivial⟩
end
section
variables {Γ : Type*} [inhabited Γ]
variables {Γ' : Type*} [inhabited Γ']
variables {Λ : Type*} [inhabited Λ]
variables {Λ' : Type*} [inhabited Λ']
/-- Map a TM statement across a function. This does nothing to move statements and maps the write
values. -/
def stmt.map (f : pointed_map Γ Γ') : stmt Γ → stmt Γ'
| (stmt.move d) := stmt.move d
| (stmt.write a) := stmt.write (f a)
/-- Map a configuration across a function, given `f : Γ → Γ'` a map of the alphabets and
`g : Λ → Λ'` a map of the machine states. -/
def cfg.map (f : pointed_map Γ Γ') (g : Λ → Λ') : cfg Γ Λ → cfg Γ' Λ'
| ⟨q, T⟩ := ⟨g q, T.map f⟩
variables (M : machine Γ Λ)
(f₁ : pointed_map Γ Γ') (f₂ : pointed_map Γ' Γ) (g₁ : Λ → Λ') (g₂ : Λ' → Λ)
/-- Because the state transition function uses the alphabet and machine states in both the input
and output, to map a machine from one alphabet and machine state space to another we need functions
in both directions, essentially an `equiv` without the laws. -/
def machine.map : machine Γ' Λ'
| q l := (M (g₂ q) (f₂ l)).map (prod.map g₁ (stmt.map f₁))
theorem machine.map_step {S : set Λ}
(f₂₁ : function.right_inverse f₁ f₂)
(g₂₁ : ∀ q ∈ S, g₂ (g₁ q) = q) :
∀ c : cfg Γ Λ, c.q ∈ S →
(step M c).map (cfg.map f₁ g₁) =
step (M.map f₁ f₂ g₁ g₂) (cfg.map f₁ g₁ c)
| ⟨q, T⟩ h := begin
unfold step machine.map cfg.map,
simp only [turing.tape.map_fst, g₂₁ q h, f₂₁ _],
rcases M q T.1 with _|⟨q', d|a⟩, {refl},
{ simp only [step, cfg.map, option.map_some', tape.map_move f₁], refl },
{ simp only [step, cfg.map, option.map_some', tape.map_write], refl }
end
theorem map_init (g₁ : pointed_map Λ Λ') (l : list Γ) :
(init l).map f₁ g₁ = init (l.map f₁) :=
congr (congr_arg cfg.mk g₁.map_pt) (tape.map_mk₁ _ _)
theorem machine.map_respects
(g₁ : pointed_map Λ Λ') (g₂ : Λ' → Λ)
{S} (ss : supports M S)
(f₂₁ : function.right_inverse f₁ f₂)
(g₂₁ : ∀ q ∈ S, g₂ (g₁ q) = q) :
respects (step M) (step (M.map f₁ f₂ g₁ g₂))
(λ a b, a.q ∈ S ∧ cfg.map f₁ g₁ a = b)
| c _ ⟨cs, rfl⟩ := begin
cases e : step M c with c'; unfold respects,
{ rw [← M.map_step f₁ f₂ g₁ g₂ f₂₁ g₂₁ _ cs, e], refl },
{ refine ⟨_, ⟨step_supports M ss e cs, rfl⟩, trans_gen.single _⟩,
rw [← M.map_step f₁ f₂ g₁ g₂ f₂₁ g₂₁ _ cs, e], exact rfl }
end
end
end TM0
/-!
## The TM1 model
The TM1 model is a simplification and extension of TM0 (Post-Turing model) in the direction of
Wang B-machines. The machine's internal state is extended with a (finite) store `σ` of variables
that may be accessed and updated at any time.
A machine is given by a `Λ` indexed set of procedures or functions. Each function has a body which
is a `stmt`. Most of the regular commands are allowed to use the current value `a` of the local
variables and the value `T.head` on the tape to calculate what to write or how to change local
state, but the statements themselves have a fixed structure. The `stmt`s can be as follows:
* `move d q`: move left or right, and then do `q`
* `write (f : Γ → σ → Γ) q`: write `f a T.head` to the tape, then do `q`
* `load (f : Γ → σ → σ) q`: change the internal state to `f a T.head`
* `branch (f : Γ → σ → bool) qtrue qfalse`: If `f a T.head` is true, do `qtrue`, else `qfalse`
* `goto (f : Γ → σ → Λ)`: Go to label `f a T.head`
* `halt`: Transition to the halting state, which halts on the following step
Note that here most statements do not have labels; `goto` commands can only go to a new function.
Only the `goto` and `halt` statements actually take a step; the rest is done by recursion on
statements and so take 0 steps. (There is a uniform bound on many statements can be executed before
the next `goto`, so this is an `O(1)` speedup with the constant depending on the machine.)
The `halt` command has a one step stutter before actually halting so that any changes made before
the halt have a chance to be "committed", since the `eval` relation uses the final configuration
before the halt as the output, and `move` and `write` etc. take 0 steps in this model.
-/
namespace TM1
section
parameters (Γ : Type*) [inhabited Γ] -- Type of tape symbols
parameters (Λ : Type*) -- Type of function labels
parameters (σ : Type*) -- Type of variable settings
/-- The TM1 model is a simplification and extension of TM0
(Post-Turing model) in the direction of Wang B-machines. The machine's
internal state is extended with a (finite) store `σ` of variables
that may be accessed and updated at any time.
A machine is given by a `Λ` indexed set of procedures or functions.
Each function has a body which is a `stmt`, which can either be a
`move` or `write` command, a `branch` (if statement based on the
current tape value), a `load` (set the variable value),
a `goto` (call another function), or `halt`. Note that here
most statements do not have labels; `goto` commands can only
go to a new function. All commands have access to the variable value
and current tape value. -/
inductive stmt
| move : dir → stmt → stmt
| write : (Γ → σ → Γ) → stmt → stmt
| load : (Γ → σ → σ) → stmt → stmt
| branch : (Γ → σ → bool) → stmt → stmt → stmt
| goto : (Γ → σ → Λ) → stmt
| halt : stmt
open stmt
instance stmt.inhabited : inhabited stmt := ⟨halt⟩
/-- The configuration of a TM1 machine is given by the currently
evaluating statement, the variable store value, and the tape. -/
structure cfg :=
(l : option Λ)
(var : σ)
(tape : tape Γ)
instance cfg.inhabited [inhabited σ] : inhabited cfg := ⟨⟨default _, default _, default _⟩⟩
parameters {Γ Λ σ}
/-- The semantics of TM1 evaluation. -/
def step_aux : stmt → σ → tape Γ → cfg
| (move d q) v T := step_aux q v (T.move d)
| (write a q) v T := step_aux q v (T.write (a T.1 v))
| (load s q) v T := step_aux q (s T.1 v) T
| (branch p q₁ q₂) v T := cond (p T.1 v) (step_aux q₁ v T) (step_aux q₂ v T)
| (goto l) v T := ⟨some (l T.1 v), v, T⟩
| halt v T := ⟨none, v, T⟩
/-- The state transition function. -/
def step (M : Λ → stmt) : cfg → option cfg
| ⟨none, v, T⟩ := none
| ⟨some l, v, T⟩ := some (step_aux (M l) v T)
/-- A set `S` of labels supports the statement `q` if all the `goto`
statements in `q` refer only to other functions in `S`. -/
def supports_stmt (S : finset Λ) : stmt → Prop
| (move d q) := supports_stmt q
| (write a q) := supports_stmt q
| (load s q) := supports_stmt q
| (branch p q₁ q₂) := supports_stmt q₁ ∧ supports_stmt q₂
| (goto l) := ∀ a v, l a v ∈ S
| halt := true
open_locale classical
/-- The subterm closure of a statement. -/
noncomputable def stmts₁ : stmt → finset stmt
| Q@(move d q) := insert Q (stmts₁ q)
| Q@(write a q) := insert Q (stmts₁ q)
| Q@(load s q) := insert Q (stmts₁ q)
| Q@(branch p q₁ q₂) := insert Q (stmts₁ q₁ ∪ stmts₁ q₂)
| Q := {Q}
theorem stmts₁_self {q} : q ∈ stmts₁ q :=
by cases q; apply_rules [finset.mem_insert_self, finset.mem_singleton_self]
theorem stmts₁_trans {q₁ q₂} :
q₁ ∈ stmts₁ q₂ → stmts₁ q₁ ⊆ stmts₁ q₂ :=
begin
intros h₁₂ q₀ h₀₁,
induction q₂ with _ q IH _ q IH _ q IH;
simp only [stmts₁] at h₁₂ ⊢;
simp only [finset.mem_insert, finset.mem_union, finset.mem_singleton] at h₁₂,
iterate 3 {
rcases h₁₂ with rfl | h₁₂,
{ unfold stmts₁ at h₀₁, exact h₀₁ },
{ exact finset.mem_insert_of_mem (IH h₁₂) } },
case TM1.stmt.branch : p q₁ q₂ IH₁ IH₂ {
rcases h₁₂ with rfl | h₁₂ | h₁₂,
{ unfold stmts₁ at h₀₁, exact h₀₁ },
{ exact finset.mem_insert_of_mem (finset.mem_union_left _ $ IH₁ h₁₂) },
{ exact finset.mem_insert_of_mem (finset.mem_union_right _ $ IH₂ h₁₂) } },
case TM1.stmt.goto : l {
subst h₁₂, exact h₀₁ },
case TM1.stmt.halt {
subst h₁₂, exact h₀₁ }
end
theorem stmts₁_supports_stmt_mono {S q₁ q₂}
(h : q₁ ∈ stmts₁ q₂) (hs : supports_stmt S q₂) : supports_stmt S q₁ :=
begin
induction q₂ with _ q IH _ q IH _ q IH;
simp only [stmts₁, supports_stmt, finset.mem_insert, finset.mem_union,
finset.mem_singleton] at h hs,
iterate 3 { rcases h with rfl | h; [exact hs, exact IH h hs] },
case TM1.stmt.branch : p q₁ q₂ IH₁ IH₂ {
rcases h with rfl | h | h, exacts [hs, IH₁ h hs.1, IH₂ h hs.2] },
case TM1.stmt.goto : l { subst h, exact hs },
case TM1.stmt.halt { subst h, trivial }
end
/-- The set of all statements in a turing machine, plus one extra value `none` representing the
halt state. This is used in the TM1 to TM0 reduction. -/
noncomputable def stmts (M : Λ → stmt) (S : finset Λ) : finset (option stmt) :=
(S.bUnion (λ q, stmts₁ (M q))).insert_none
theorem stmts_trans {M : Λ → stmt} {S q₁ q₂}
(h₁ : q₁ ∈ stmts₁ q₂) : some q₂ ∈ stmts M S → some q₁ ∈ stmts M S :=
by simp only [stmts, finset.mem_insert_none, finset.mem_bUnion,
option.mem_def, forall_eq', exists_imp_distrib];
exact λ l ls h₂, ⟨_, ls, stmts₁_trans h₂ h₁⟩
variable [inhabited Λ]
/-- A set `S` of labels supports machine `M` if all the `goto`
statements in the functions in `S` refer only to other functions
in `S`. -/
def supports (M : Λ → stmt) (S : finset Λ) :=
default Λ ∈ S ∧ ∀ q ∈ S, supports_stmt S (M q)
theorem stmts_supports_stmt {M : Λ → stmt} {S q}
(ss : supports M S) : some q ∈ stmts M S → supports_stmt S q :=
by simp only [stmts, finset.mem_insert_none, finset.mem_bUnion,
option.mem_def, forall_eq', exists_imp_distrib];
exact λ l ls h, stmts₁_supports_stmt_mono h (ss.2 _ ls)
theorem step_supports (M : Λ → stmt) {S}
(ss : supports M S) : ∀ {c c' : cfg},
c' ∈ step M c → c.l ∈ S.insert_none → c'.l ∈ S.insert_none
| ⟨some l₁, v, T⟩ c' h₁ h₂ := begin
replace h₂ := ss.2 _ (finset.some_mem_insert_none.1 h₂),
simp only [step, option.mem_def] at h₁, subst c',
revert h₂, induction M l₁ with _ q IH _ q IH _ q IH generalizing v T;
intro hs,
iterate 3 { exact IH _ _ hs },
case TM1.stmt.branch : p q₁' q₂' IH₁ IH₂ {
unfold step_aux, cases p T.1 v,
{ exact IH₂ _ _ hs.2 },
{ exact IH₁ _ _ hs.1 } },
case TM1.stmt.goto { exact finset.some_mem_insert_none.2 (hs _ _) },
case TM1.stmt.halt { apply multiset.mem_cons_self }
end
variable [inhabited σ]
/-- The initial state, given a finite input that is placed on the tape starting at the TM head and
going to the right. -/
def init (l : list Γ) : cfg :=
⟨some (default _), default _, tape.mk₁ l⟩
/-- Evaluate a TM to completion, resulting in an output list on the tape (with an indeterminate
number of blanks on the end). -/
def eval (M : Λ → stmt) (l : list Γ) : part (list_blank Γ) :=
(eval (step M) (init l)).map (λ c, c.tape.right₀)
end
end TM1
/-!
## TM1 emulator in TM0
To prove that TM1 computable functions are TM0 computable, we need to reduce each TM1 program to a
TM0 program. So suppose a TM1 program is given. We take the following:
* The alphabet `Γ` is the same for both TM1 and TM0
* The set of states `Λ'` is defined to be `option stmt₁ × σ`, that is, a TM1 statement or `none`
representing halt, and the possible settings of the internal variables.
Note that this is an infinite set, because `stmt₁` is infinite. This is okay because we assume
that from the initial TM1 state, only finitely many other labels are reachable, and there are
only finitely many statements that appear in all of these functions.
Even though `stmt₁` contains a statement called `halt`, we must separate it from `none`
(`some halt` steps to `none` and `none` actually halts) because there is a one step stutter in the
TM1 semantics.
-/
namespace TM1to0
section
parameters {Γ : Type*} [inhabited Γ]
parameters {Λ : Type*} [inhabited Λ]
parameters {σ : Type*} [inhabited σ]
local notation `stmt₁` := TM1.stmt Γ Λ σ
local notation `cfg₁` := TM1.cfg Γ Λ σ
local notation `stmt₀` := TM0.stmt Γ
parameters (M : Λ → stmt₁)
include M
/-- The base machine state space is a pair of an `option stmt₁` representing the current program
to be executed, or `none` for the halt state, and a `σ` which is the local state (stored in the TM,
not the tape). Because there are an infinite number of programs, this state space is infinite, but
for a finitely supported TM1 machine and a finite type `σ`, only finitely many of these states are
reachable. -/
@[nolint unused_arguments] -- [inhabited Λ] [inhabited σ] (M : Λ → stmt₁): We need the M assumption
-- because of the inhabited instance, but we could avoid the inhabited instances on Λ and σ here.
-- But they are parameters so we cannot easily skip them for just this definition.
def Λ' := option stmt₁ × σ
instance : inhabited Λ' := ⟨(some (M (default _)), default _)⟩
open TM0.stmt
/-- The core TM1 → TM0 translation function. Here `s` is the current value on the tape, and the
`stmt₁` is the TM1 statement to translate, with local state `v : σ`. We evaluate all regular
instructions recursively until we reach either a `move` or `write` command, or a `goto`; in the
latter case we emit a dummy `write s` step and transition to the new target location. -/
def tr_aux (s : Γ) : stmt₁ → σ → Λ' × stmt₀
| (TM1.stmt.move d q) v := ((some q, v), move d)
| (TM1.stmt.write a q) v := ((some q, v), write (a s v))
| (TM1.stmt.load a q) v := tr_aux q (a s v)
| (TM1.stmt.branch p q₁ q₂) v := cond (p s v) (tr_aux q₁ v) (tr_aux q₂ v)
| (TM1.stmt.goto l) v := ((some (M (l s v)), v), write s)
| TM1.stmt.halt v := ((none, v), write s)
local notation `cfg₀` := TM0.cfg Γ Λ'
/-- The translated TM0 machine (given the TM1 machine input). -/
def tr : TM0.machine Γ Λ'
| (none, v) s := none
| (some q, v) s := some (tr_aux s q v)
/-- Translate configurations from TM1 to TM0. -/
def tr_cfg : cfg₁ → cfg₀
| ⟨l, v, T⟩ := ⟨(l.map M, v), T⟩
theorem tr_respects : respects (TM1.step M) (TM0.step tr)
(λ c₁ c₂, tr_cfg c₁ = c₂) :=
fun_respects.2 $ λ ⟨l₁, v, T⟩, begin
cases l₁ with l₁, {exact rfl},
unfold tr_cfg TM1.step frespects option.map function.comp option.bind,
induction M l₁ with _ q IH _ q IH _ q IH generalizing v T,
case TM1.stmt.move : d q IH { exact trans_gen.head rfl (IH _ _) },
case TM1.stmt.write : a q IH { exact trans_gen.head rfl (IH _ _) },
case TM1.stmt.load : a q IH { exact (reaches₁_eq (by refl)).2 (IH _ _) },
case TM1.stmt.branch : p q₁ q₂ IH₁ IH₂ {
unfold TM1.step_aux, cases e : p T.1 v,
{ exact (reaches₁_eq (by simp only [TM0.step, tr, tr_aux, e]; refl)).2 (IH₂ _ _) },
{ exact (reaches₁_eq (by simp only [TM0.step, tr, tr_aux, e]; refl)).2 (IH₁ _ _) } },
iterate 2 {
exact trans_gen.single (congr_arg some
(congr (congr_arg TM0.cfg.mk rfl) (tape.write_self T))) }
end
theorem tr_eval (l : list Γ) : TM0.eval tr l = TM1.eval M l :=
(congr_arg _ (tr_eval' _ _ _ tr_respects ⟨some _, _, _⟩)).trans begin
rw [part.map_eq_map, part.map_map, TM1.eval],
congr' with ⟨⟩, refl
end
variables [fintype σ]
/-- Given a finite set of accessible `Λ` machine states, there is a finite set of accessible
machine states in the target (even though the type `Λ'` is infinite). -/
noncomputable def tr_stmts (S : finset Λ) : finset Λ' :=
(TM1.stmts M S).product finset.univ
open_locale classical
local attribute [simp] TM1.stmts₁_self
theorem tr_supports {S : finset Λ} (ss : TM1.supports M S) :
TM0.supports tr (↑(tr_stmts S)) :=
⟨finset.mem_product.2 ⟨finset.some_mem_insert_none.2
(finset.mem_bUnion.2 ⟨_, ss.1, TM1.stmts₁_self⟩),
finset.mem_univ _⟩,
λ q a q' s h₁ h₂, begin
rcases q with ⟨_|q, v⟩, {cases h₁},
cases q' with q' v', simp only [tr_stmts, finset.mem_coe,
finset.mem_product, finset.mem_univ, and_true] at h₂ ⊢,
cases q', {exact multiset.mem_cons_self _ _},
simp only [tr, option.mem_def] at h₁,
have := TM1.stmts_supports_stmt ss h₂,
revert this, induction q generalizing v; intro hs,
case TM1.stmt.move : d q {
cases h₁, refine TM1.stmts_trans _ h₂,
unfold TM1.stmts₁,
exact finset.mem_insert_of_mem TM1.stmts₁_self },
case TM1.stmt.write : b q {
cases h₁, refine TM1.stmts_trans _ h₂,
unfold TM1.stmts₁,
exact finset.mem_insert_of_mem TM1.stmts₁_self },
case TM1.stmt.load : b q IH {
refine IH (TM1.stmts_trans _ h₂) _ h₁ hs,
unfold TM1.stmts₁,
exact finset.mem_insert_of_mem TM1.stmts₁_self },
case TM1.stmt.branch : p q₁ q₂ IH₁ IH₂ {
change cond (p a v) _ _ = ((some q', v'), s) at h₁,
cases p a v,
{ refine IH₂ (TM1.stmts_trans _ h₂) _ h₁ hs.2,
unfold TM1.stmts₁,
exact finset.mem_insert_of_mem (finset.mem_union_right _ TM1.stmts₁_self) },
{ refine IH₁ (TM1.stmts_trans _ h₂) _ h₁ hs.1,
unfold TM1.stmts₁,
exact finset.mem_insert_of_mem (finset.mem_union_left _ TM1.stmts₁_self) } },
case TM1.stmt.goto : l {
cases h₁, exact finset.some_mem_insert_none.2
(finset.mem_bUnion.2 ⟨_, hs _ _, TM1.stmts₁_self⟩) },
case TM1.stmt.halt { cases h₁ }
end⟩
end
end TM1to0
/-!
## TM1(Γ) emulator in TM1(bool)
The most parsimonious Turing machine model that is still Turing complete is `TM0` with `Γ = bool`.
Because our construction in the previous section reducing `TM1` to `TM0` doesn't change the
alphabet, we can do the alphabet reduction on `TM1` instead of `TM0` directly.
The basic idea is to use a bijection between `Γ` and a subset of `vector bool n`, where `n` is a
fixed constant. Each tape element is represented as a block of `n` bools. Whenever the machine
wants to read a symbol from the tape, it traverses over the block, performing `n` `branch`
instructions to each any of the `2^n` results.
For the `write` instruction, we have to use a `goto` because we need to follow a different code
path depending on the local state, which is not available in the TM1 model, so instead we jump to
a label computed using the read value and the local state, which performs the writing and returns
to normal execution.
Emulation overhead is `O(1)`. If not for the above `write` behavior it would be 1-1 because we are
exploiting the 0-step behavior of regular commands to avoid taking steps, but there are
nevertheless a bounded number of `write` calls between `goto` statements because TM1 statements are
finitely long.
-/
namespace TM1to1
open TM1
section
parameters {Γ : Type*} [inhabited Γ]
theorem exists_enc_dec [fintype Γ] :
∃ n (enc : Γ → vector bool n) (dec : vector bool n → Γ),
enc (default _) = vector.repeat ff n ∧ ∀ a, dec (enc a) = a :=
begin
letI := classical.dec_eq Γ,
let n := fintype.card Γ,
obtain ⟨F⟩ := fintype.trunc_equiv_fin Γ,
let G : fin n ↪ fin n → bool := ⟨λ a b, a = b,
λ a b h, of_to_bool_true $ (congr_fun h b).trans $ to_bool_tt rfl⟩,
let H := (F.to_embedding.trans G).trans
(equiv.vector_equiv_fin _ _).symm.to_embedding,
classical,
let enc := H.set_value (default _) (vector.repeat ff n),
exact ⟨_, enc, function.inv_fun enc,
H.set_value_eq _ _, function.left_inverse_inv_fun enc.2⟩
end
parameters {Λ : Type*} [inhabited Λ]
parameters {σ : Type*} [inhabited σ]
local notation `stmt₁` := stmt Γ Λ σ
local notation `cfg₁` := cfg Γ Λ σ
/-- The configuration state of the TM. -/
inductive Λ' : Type (max u_1 u_2 u_3)
| normal : Λ → Λ'
| write : Γ → stmt₁ → Λ'
instance : inhabited Λ' := ⟨Λ'.normal (default _)⟩
local notation `stmt'` := stmt bool Λ' σ
local notation `cfg'` := cfg bool Λ' σ
/-- Read a vector of length `n` from the tape. -/
def read_aux : ∀ n, (vector bool n → stmt') → stmt'
| 0 f := f vector.nil
| (i+1) f := stmt.branch (λ a s, a)
(stmt.move dir.right $ read_aux i (λ v, f (tt ::ᵥ v)))
(stmt.move dir.right $ read_aux i (λ v, f (ff ::ᵥ v)))
parameters {n : ℕ} (enc : Γ → vector bool n) (dec : vector bool n → Γ)
/-- A move left or right corresponds to `n` moves across the super-cell. -/
def move (d : dir) (q : stmt') : stmt' := (stmt.move d)^[n] q
/-- To read a symbol from the tape, we use `read_aux` to traverse the symbol,
then return to the original position with `n` moves to the left. -/
def read (f : Γ → stmt') : stmt' :=
read_aux n (λ v, move dir.left $ f (dec v))
/-- Write a list of bools on the tape. -/
def write : list bool → stmt' → stmt'
| [] q := q
| (a :: l) q := stmt.write (λ _ _, a) $ stmt.move dir.right $ write l q
/-- Translate a normal instruction. For the `write` command, we use a `goto` indirection so that
we can access the current value of the tape. -/
def tr_normal : stmt₁ → stmt'
| (stmt.move d q) := move d $ tr_normal q
| (stmt.write f q) := read $ λ a, stmt.goto $ λ _ s, Λ'.write (f a s) q
| (stmt.load f q) := read $ λ a, stmt.load (λ _ s, f a s) $ tr_normal q
| (stmt.branch p q₁ q₂) := read $ λ a, stmt.branch (λ _ s, p a s) (tr_normal q₁) (tr_normal q₂)
| (stmt.goto l) := read $ λ a, stmt.goto $ λ _ s, Λ'.normal (l a s)
| stmt.halt := stmt.halt
theorem step_aux_move (d q v T) :
step_aux (move d q) v T =
step_aux q v ((tape.move d)^[n] T) :=
begin
suffices : ∀ i,
step_aux (stmt.move d^[i] q) v T =
step_aux q v (tape.move d^[i] T), from this n,
intro, induction i with i IH generalizing T, {refl},
rw [iterate_succ', step_aux, IH, iterate_succ]
end
theorem supports_stmt_move {S d q} :
supports_stmt S (move d q) = supports_stmt S q :=
suffices ∀ {i}, supports_stmt S (stmt.move d^[i] q) = _, from this,
by intro; induction i generalizing q; simp only [*, iterate]; refl
theorem supports_stmt_write {S l q} :
supports_stmt S (write l q) = supports_stmt S q :=
by induction l with a l IH; simp only [write, supports_stmt, *]
theorem supports_stmt_read {S} : ∀ {f : Γ → stmt'},
(∀ a, supports_stmt S (f a)) → supports_stmt S (read f) :=
suffices ∀ i (f : vector bool i → stmt'),
(∀ v, supports_stmt S (f v)) → supports_stmt S (read_aux i f),
from λ f hf, this n _ (by intro; simp only [supports_stmt_move, hf]),
λ i f hf, begin
induction i with i IH, {exact hf _},
split; apply IH; intro; apply hf,
end
parameter (enc0 : enc (default _) = vector.repeat ff n)
section
parameter {enc}
include enc0
/-- The low level tape corresponding to the given tape over alphabet `Γ`. -/
def tr_tape' (L R : list_blank Γ) : tape bool :=
begin
refine tape.mk'
(L.bind (λ x, (enc x).to_list.reverse) ⟨n, _⟩)
(R.bind (λ x, (enc x).to_list) ⟨n, _⟩);
simp only [enc0, vector.repeat,
list.reverse_repeat, bool.default_bool, vector.to_list_mk]
end
/-- The low level tape corresponding to the given tape over alphabet `Γ`. -/
def tr_tape (T : tape Γ) : tape bool := tr_tape' T.left T.right₀
theorem tr_tape_mk' (L R : list_blank Γ) : tr_tape (tape.mk' L R) = tr_tape' L R :=
by simp only [tr_tape, tape.mk'_left, tape.mk'_right₀]
end
parameters (M : Λ → stmt₁)
/-- The top level program. -/
def tr : Λ' → stmt'
| (Λ'.normal l) := tr_normal (M l)
| (Λ'.write a q) := write (enc a).to_list $ move dir.left $ tr_normal q
/-- The machine configuration translation. -/
def tr_cfg : cfg₁ → cfg'
| ⟨l, v, T⟩ := ⟨l.map Λ'.normal, v, tr_tape T⟩
parameter {enc}
include enc0
theorem tr_tape'_move_left (L R) :
(tape.move dir.left)^[n] (tr_tape' L R) =
(tr_tape' L.tail (R.cons L.head)) :=
begin
obtain ⟨a, L, rfl⟩ := L.exists_cons,
simp only [tr_tape', list_blank.cons_bind, list_blank.head_cons, list_blank.tail_cons],
suffices : ∀ {L' R' l₁ l₂}
(e : vector.to_list (enc a) = list.reverse_core l₁ l₂),
tape.move dir.left^[l₁.length]
(tape.mk' (list_blank.append l₁ L') (list_blank.append l₂ R')) =
tape.mk' L' (list_blank.append (vector.to_list (enc a)) R'),
{ simpa only [list.length_reverse, vector.to_list_length]
using this (list.reverse_reverse _).symm },
intros, induction l₁ with b l₁ IH generalizing l₂,
{ cases e, refl },
simp only [list.length, list.cons_append, iterate_succ_apply],
convert IH e,
simp only [list_blank.tail_cons, list_blank.append, tape.move_left_mk', list_blank.head_cons]
end
theorem tr_tape'_move_right (L R) :
(tape.move dir.right)^[n] (tr_tape' L R) =
(tr_tape' (L.cons R.head) R.tail) :=
begin
suffices : ∀ i L, (tape.move dir.right)^[i] ((tape.move dir.left)^[i] L) = L,
{ refine (eq.symm _).trans (this n _),
simp only [tr_tape'_move_left, list_blank.cons_head_tail,
list_blank.head_cons, list_blank.tail_cons] },
intros, induction i with i IH, {refl},
rw [iterate_succ_apply, iterate_succ_apply', tape.move_left_right, IH]
end
theorem step_aux_write (q v a b L R) :
step_aux (write (enc a).to_list q) v (tr_tape' L (list_blank.cons b R)) =
step_aux q v (tr_tape' (list_blank.cons a L) R) :=
begin
simp only [tr_tape', list.cons_bind, list.append_assoc],
suffices : ∀ {L' R'} (l₁ l₂ l₂' : list bool)
(e : l₂'.length = l₂.length),
step_aux (write l₂ q) v (tape.mk' (list_blank.append l₁ L') (list_blank.append l₂' R')) =
step_aux q v (tape.mk' (L'.append (list.reverse_core l₂ l₁)) R'),
{ convert this [] _ _ ((enc b).2.trans (enc a).2.symm);
rw list_blank.cons_bind; refl },
clear a b L R, intros,
induction l₂ with a l₂ IH generalizing l₁ l₂',
{ cases list.length_eq_zero.1 e, refl },
cases l₂' with b l₂'; injection e with e,
dunfold write step_aux,
convert IH _ _ e using 1,
simp only [list_blank.head_cons, list_blank.tail_cons,
list_blank.append, tape.move_right_mk', tape.write_mk']
end
parameters (encdec : ∀ a, dec (enc a) = a)
include encdec
theorem step_aux_read (f v L R) :
step_aux (read f) v (tr_tape' L R) =
step_aux (f R.head) v (tr_tape' L R) :=
begin
suffices : ∀ f,
step_aux (read_aux n f) v (tr_tape' enc0 L R) =
step_aux (f (enc R.head)) v
(tr_tape' enc0 (L.cons R.head) R.tail),
{ rw [read, this, step_aux_move, encdec, tr_tape'_move_left enc0],
simp only [list_blank.head_cons, list_blank.cons_head_tail, list_blank.tail_cons] },
obtain ⟨a, R, rfl⟩ := R.exists_cons,
simp only [list_blank.head_cons, list_blank.tail_cons,
tr_tape', list_blank.cons_bind, list_blank.append_assoc],
suffices : ∀ i f L' R' l₁ l₂ h,
step_aux (read_aux i f) v
(tape.mk' (list_blank.append l₁ L') (list_blank.append l₂ R')) =
step_aux (f ⟨l₂, h⟩) v
(tape.mk' (list_blank.append (l₂.reverse_core l₁) L') R'),
{ intro f, convert this n f _ _ _ _ (enc a).2; simp },
clear f L a R, intros, subst i,
induction l₂ with a l₂ IH generalizing l₁, {refl},
transitivity step_aux
(read_aux l₂.length (λ v, f (a ::ᵥ v))) v
(tape.mk' ((L'.append l₁).cons a) (R'.append l₂)),
{ dsimp [read_aux, step_aux], simp, cases a; refl },
rw [← list_blank.append, IH], refl
end
theorem tr_respects : respects (step M) (step tr)
(λ c₁ c₂, tr_cfg c₁ = c₂) :=
fun_respects.2 $ λ ⟨l₁, v, T⟩, begin
obtain ⟨L, R, rfl⟩ := T.exists_mk',
cases l₁ with l₁, {exact rfl},
suffices : ∀ q R, reaches (step (tr enc dec M))
(step_aux (tr_normal dec q) v (tr_tape' enc0 L R))
(tr_cfg enc0 (step_aux q v (tape.mk' L R))),
{ refine trans_gen.head' rfl _, rw tr_tape_mk', exact this _ R },
clear R l₁, intros,
induction q with _ q IH _ q IH _ q IH generalizing v L R,
case TM1.stmt.move : d q IH {
cases d; simp only [tr_normal, iterate, step_aux_move, step_aux,
list_blank.head_cons, tape.move_left_mk',
list_blank.cons_head_tail, list_blank.tail_cons,
tr_tape'_move_left enc0, tr_tape'_move_right enc0];
apply IH },
case TM1.stmt.write : f q IH {
simp only [tr_normal, step_aux_read dec enc0 encdec, step_aux],
refine refl_trans_gen.head rfl _,
obtain ⟨a, R, rfl⟩ := R.exists_cons,
rw [tr, tape.mk'_head, step_aux_write, list_blank.head_cons,
step_aux_move, tr_tape'_move_left enc0, list_blank.head_cons,
list_blank.tail_cons, tape.write_mk'],
apply IH },
case TM1.stmt.load : a q IH {
simp only [tr_normal, step_aux_read dec enc0 encdec],
apply IH },
case TM1.stmt.branch : p q₁ q₂ IH₁ IH₂ {
simp only [tr_normal, step_aux_read dec enc0 encdec, step_aux],
cases p R.head v; [apply IH₂, apply IH₁] },
case TM1.stmt.goto : l {
simp only [tr_normal, step_aux_read dec enc0 encdec, step_aux, tr_cfg, tr_tape_mk'],
apply refl_trans_gen.refl },
case TM1.stmt.halt {
simp only [tr_normal, step_aux, tr_cfg, step_aux_move,
tr_tape'_move_left enc0, tr_tape'_move_right enc0, tr_tape_mk'],
apply refl_trans_gen.refl }
end
omit enc0 encdec
open_locale classical
parameters [fintype Γ]
/-- The set of accessible `Λ'.write` machine states. -/
noncomputable def writes : stmt₁ → finset Λ'
| (stmt.move d q) := writes q
| (stmt.write f q) := finset.univ.image (λ a, Λ'.write a q) ∪ writes q
| (stmt.load f q) := writes q
| (stmt.branch p q₁ q₂) := writes q₁ ∪ writes q₂
| (stmt.goto l) := ∅
| stmt.halt := ∅
/-- The set of accessible machine states, assuming that the input machine is supported on `S`,
are the normal states embedded from `S`, plus all write states accessible from these states. -/
noncomputable def tr_supp (S : finset Λ) : finset Λ' :=
S.bUnion (λ l, insert (Λ'.normal l) (writes (M l)))
theorem tr_supports {S} (ss : supports M S) :
supports tr (tr_supp S) :=
⟨finset.mem_bUnion.2 ⟨_, ss.1, finset.mem_insert_self _ _⟩,
λ q h, begin
suffices : ∀ q, supports_stmt S q →
(∀ q' ∈ writes q, q' ∈ tr_supp M S) →
supports_stmt (tr_supp M S) (tr_normal dec q) ∧
∀ q' ∈ writes q, supports_stmt (tr_supp M S) (tr enc dec M q'),
{ rcases finset.mem_bUnion.1 h with ⟨l, hl, h⟩,
have := this _ (ss.2 _ hl) (λ q' hq,
finset.mem_bUnion.2 ⟨_, hl, finset.mem_insert_of_mem hq⟩),
rcases finset.mem_insert.1 h with rfl | h,
exacts [this.1, this.2 _ h] },
intros q hs hw, induction q,
case TM1.stmt.move : d q IH {
unfold writes at hw ⊢,
replace IH := IH hs hw, refine ⟨_, IH.2⟩,
cases d; simp only [tr_normal, iterate, supports_stmt_move, IH] },
case TM1.stmt.write : f q IH {
unfold writes at hw ⊢,
simp only [finset.mem_image, finset.mem_union, finset.mem_univ,
exists_prop, true_and] at hw ⊢,
replace IH := IH hs (λ q hq, hw q (or.inr hq)),
refine ⟨supports_stmt_read _ $ λ a _ s,
hw _ (or.inl ⟨_, rfl⟩), λ q' hq, _⟩,
rcases hq with ⟨a, q₂, rfl⟩ | hq,
{ simp only [tr, supports_stmt_write, supports_stmt_move, IH.1] },
{ exact IH.2 _ hq } },
case TM1.stmt.load : a q IH {
unfold writes at hw ⊢,
replace IH := IH hs hw,
refine ⟨supports_stmt_read _ (λ a, IH.1), IH.2⟩ },
case TM1.stmt.branch : p q₁ q₂ IH₁ IH₂ {
unfold writes at hw ⊢,
simp only [finset.mem_union] at hw ⊢,
replace IH₁ := IH₁ hs.1 (λ q hq, hw q (or.inl hq)),
replace IH₂ := IH₂ hs.2 (λ q hq, hw q (or.inr hq)),
exact ⟨supports_stmt_read _ (λ a, ⟨IH₁.1, IH₂.1⟩),
λ q, or.rec (IH₁.2 _) (IH₂.2 _)⟩ },
case TM1.stmt.goto : l {
refine ⟨_, λ _, false.elim⟩,
refine supports_stmt_read _ (λ a _ s, _),
exact finset.mem_bUnion.2 ⟨_, hs _ _, finset.mem_insert_self _ _⟩ },
case TM1.stmt.halt {
refine ⟨_, λ _, false.elim⟩,
simp only [supports_stmt, supports_stmt_move, tr_normal] }
end⟩
end
end TM1to1
/-!
## TM0 emulator in TM1
To establish that TM0 and TM1 are equivalent computational models, we must also have a TM0 emulator
in TM1. The main complication here is that TM0 allows an action to depend on the value at the head
and local state, while TM1 doesn't (in order to have more programming language-like semantics).
So we use a computed `goto` to go to a state that performes the desired action and then returns to
normal execution.
One issue with this is that the `halt` instruction is supposed to halt immediately, not take a step
to a halting state. To resolve this we do a check for `halt` first, then `goto` (with an
unreachable branch).
-/
namespace TM0to1
section
parameters {Γ : Type*} [inhabited Γ]
parameters {Λ : Type*} [inhabited Λ]
/-- The machine states for a TM1 emulating a TM0 machine. States of the TM0 machine are embedded
as `normal q` states, but the actual operation is split into two parts, a jump to `act s q`
followed by the action and a jump to the next `normal` state. -/
inductive Λ'
| normal : Λ → Λ'
| act : TM0.stmt Γ → Λ → Λ'
instance : inhabited Λ' := ⟨Λ'.normal (default _)⟩
local notation `cfg₀` := TM0.cfg Γ Λ
local notation `stmt₁` := TM1.stmt Γ Λ' unit
local notation `cfg₁` := TM1.cfg Γ Λ' unit
parameters (M : TM0.machine Γ Λ)
open TM1.stmt
/-- The program. -/
def tr : Λ' → stmt₁
| (Λ'.normal q) :=
branch (λ a _, (M q a).is_none) halt $
goto (λ a _, match M q a with
| none := default _ -- unreachable
| some (q', s) := Λ'.act s q'
end)
| (Λ'.act (TM0.stmt.move d) q) := move d $ goto (λ _ _, Λ'.normal q)
| (Λ'.act (TM0.stmt.write a) q) := write (λ _ _, a) $ goto (λ _ _, Λ'.normal q)
/-- The configuration translation. -/
def tr_cfg : cfg₀ → cfg₁
| ⟨q, T⟩ := ⟨cond (M q T.1).is_some (some (Λ'.normal q)) none, (), T⟩
theorem tr_respects : respects (TM0.step M) (TM1.step tr)
(λ a b, tr_cfg a = b) :=
fun_respects.2 $ λ ⟨q, T⟩, begin
cases e : M q T.1,
{ simp only [TM0.step, tr_cfg, e]; exact eq.refl none },
cases val with q' s,
simp only [frespects, TM0.step, tr_cfg, e, option.is_some, cond, option.map_some'],
have : TM1.step (tr M) ⟨some (Λ'.act s q'), (), T⟩ =
some ⟨some (Λ'.normal q'), (), TM0.step._match_1 T s⟩,
{ cases s with d a; refl },
refine trans_gen.head _ (trans_gen.head' this _),
{ unfold TM1.step TM1.step_aux tr has_mem.mem,
rw e, refl },
cases e' : M q' _,
{ apply refl_trans_gen.single,
unfold TM1.step TM1.step_aux tr has_mem.mem,
rw e', refl },
{ refl }
end
end
end TM0to1
/-!
## The TM2 model
The TM2 model removes the tape entirely from the TM1 model, replacing it with an arbitrary (finite)
collection of stacks, each with elements of different types (the alphabet of stack `k : K` is
`Γ k`). The statements are:
* `push k (f : σ → Γ k) q` puts `f a` on the `k`-th stack, then does `q`.
* `pop k (f : σ → option (Γ k) → σ) q` changes the state to `f a (S k).head`, where `S k` is the
value of the `k`-th stack, and removes this element from the stack, then does `q`.
* `peek k (f : σ → option (Γ k) → σ) q` changes the state to `f a (S k).head`, where `S k` is the
value of the `k`-th stack, then does `q`.
* `load (f : σ → σ) q` reads nothing but applies `f` to the internal state, then does `q`.
* `branch (f : σ → bool) qtrue qfalse` does `qtrue` or `qfalse` according to `f a`.
* `goto (f : σ → Λ)` jumps to label `f a`.
* `halt` halts on the next step.
The configuration is a tuple `(l, var, stk)` where `l : option Λ` is the current label to run or
`none` for the halting state, `var : σ` is the (finite) internal state, and `stk : ∀ k, list (Γ k)`
is the collection of stacks. (Note that unlike the `TM0` and `TM1` models, these are not
`list_blank`s, they have definite ends that can be detected by the `pop` command.)
Given a designated stack `k` and a value `L : list (Γ k)`, the initial configuration has all the
stacks empty except the designated "input" stack; in `eval` this designated stack also functions
as the output stack.
-/
namespace TM2
section
parameters {K : Type*} [decidable_eq K] -- Index type of stacks
parameters (Γ : K → Type*) -- Type of stack elements
parameters (Λ : Type*) -- Type of function labels
parameters (σ : Type*) -- Type of variable settings
/-- The TM2 model removes the tape entirely from the TM1 model,
replacing it with an arbitrary (finite) collection of stacks.
The operation `push` puts an element on one of the stacks,
and `pop` removes an element from a stack (and modifying the
internal state based on the result). `peek` modifies the
internal state but does not remove an element. -/
inductive stmt
| push : ∀ k, (σ → Γ k) → stmt → stmt
| peek : ∀ k, (σ → option (Γ k) → σ) → stmt → stmt
| pop : ∀ k, (σ → option (Γ k) → σ) → stmt → stmt
| load : (σ → σ) → stmt → stmt
| branch : (σ → bool) → stmt → stmt → stmt
| goto : (σ → Λ) → stmt
| halt : stmt
open stmt
instance stmt.inhabited : inhabited stmt := ⟨halt⟩
/-- A configuration in the TM2 model is a label (or `none` for the halt state), the state of
local variables, and the stacks. (Note that the stacks are not `list_blank`s, they have a definite
size.) -/
structure cfg :=
(l : option Λ)
(var : σ)
(stk : ∀ k, list (Γ k))
instance cfg.inhabited [inhabited σ] : inhabited cfg := ⟨⟨default _, default _, default _⟩⟩
parameters {Γ Λ σ K}
/-- The step function for the TM2 model. -/
@[simp] def step_aux : stmt → σ → (∀ k, list (Γ k)) → cfg
| (push k f q) v S := step_aux q v (update S k (f v :: S k))
| (peek k f q) v S := step_aux q (f v (S k).head') S
| (pop k f q) v S := step_aux q (f v (S k).head') (update S k (S k).tail)
| (load a q) v S := step_aux q (a v) S
| (branch f q₁ q₂) v S :=
cond (f v) (step_aux q₁ v S) (step_aux q₂ v S)
| (goto f) v S := ⟨some (f v), v, S⟩
| halt v S := ⟨none, v, S⟩
/-- The step function for the TM2 model. -/
@[simp] def step (M : Λ → stmt) : cfg → option cfg
| ⟨none, v, S⟩ := none
| ⟨some l, v, S⟩ := some (step_aux (M l) v S)
/-- The (reflexive) reachability relation for the TM2 model. -/
def reaches (M : Λ → stmt) : cfg → cfg → Prop :=
refl_trans_gen (λ a b, b ∈ step M a)
/-- Given a set `S` of states, `support_stmt S q` means that `q` only jumps to states in `S`. -/
def supports_stmt (S : finset Λ) : stmt → Prop
| (push k f q) := supports_stmt q
| (peek k f q) := supports_stmt q
| (pop k f q) := supports_stmt q
| (load a q) := supports_stmt q
| (branch f q₁ q₂) := supports_stmt q₁ ∧ supports_stmt q₂
| (goto l) := ∀ v, l v ∈ S
| halt := true
open_locale classical
/-- The set of subtree statements in a statement. -/
noncomputable def stmts₁ : stmt → finset stmt
| Q@(push k f q) := insert Q (stmts₁ q)
| Q@(peek k f q) := insert Q (stmts₁ q)
| Q@(pop k f q) := insert Q (stmts₁ q)
| Q@(load a q) := insert Q (stmts₁ q)
| Q@(branch f q₁ q₂) := insert Q (stmts₁ q₁ ∪ stmts₁ q₂)
| Q@(goto l) := {Q}
| Q@halt := {Q}
theorem stmts₁_self {q} : q ∈ stmts₁ q :=
by cases q; apply_rules [finset.mem_insert_self, finset.mem_singleton_self]
theorem stmts₁_trans {q₁ q₂} :
q₁ ∈ stmts₁ q₂ → stmts₁ q₁ ⊆ stmts₁ q₂ :=
begin
intros h₁₂ q₀ h₀₁,
induction q₂ with _ _ q IH _ _ q IH _ _ q IH _ q IH;
simp only [stmts₁] at h₁₂ ⊢;
simp only [finset.mem_insert, finset.mem_singleton, finset.mem_union] at h₁₂,
iterate 4 {
rcases h₁₂ with rfl | h₁₂,
{ unfold stmts₁ at h₀₁, exact h₀₁ },
{ exact finset.mem_insert_of_mem (IH h₁₂) } },
case TM2.stmt.branch : f q₁ q₂ IH₁ IH₂ {
rcases h₁₂ with rfl | h₁₂ | h₁₂,
{ unfold stmts₁ at h₀₁, exact h₀₁ },
{ exact finset.mem_insert_of_mem (finset.mem_union_left _ (IH₁ h₁₂)) },
{ exact finset.mem_insert_of_mem (finset.mem_union_right _ (IH₂ h₁₂)) } },
case TM2.stmt.goto : l {
subst h₁₂, exact h₀₁ },
case TM2.stmt.halt {
subst h₁₂, exact h₀₁ }
end
theorem stmts₁_supports_stmt_mono {S q₁ q₂}
(h : q₁ ∈ stmts₁ q₂) (hs : supports_stmt S q₂) : supports_stmt S q₁ :=
begin
induction q₂ with _ _ q IH _ _ q IH _ _ q IH _ q IH;
simp only [stmts₁, supports_stmt, finset.mem_insert, finset.mem_union,
finset.mem_singleton] at h hs,
iterate 4 { rcases h with rfl | h; [exact hs, exact IH h hs] },
case TM2.stmt.branch : f q₁ q₂ IH₁ IH₂ {
rcases h with rfl | h | h, exacts [hs, IH₁ h hs.1, IH₂ h hs.2] },
case TM2.stmt.goto : l { subst h, exact hs },
case TM2.stmt.halt { subst h, trivial }
end
/-- The set of statements accessible from initial set `S` of labels. -/
noncomputable def stmts (M : Λ → stmt) (S : finset Λ) : finset (option stmt) :=
(S.bUnion (λ q, stmts₁ (M q))).insert_none
theorem stmts_trans {M : Λ → stmt} {S q₁ q₂}
(h₁ : q₁ ∈ stmts₁ q₂) : some q₂ ∈ stmts M S → some q₁ ∈ stmts M S :=
by simp only [stmts, finset.mem_insert_none, finset.mem_bUnion,
option.mem_def, forall_eq', exists_imp_distrib];
exact λ l ls h₂, ⟨_, ls, stmts₁_trans h₂ h₁⟩
variable [inhabited Λ]
/-- Given a TM2 machine `M` and a set `S` of states, `supports M S` means that all states in
`S` jump only to other states in `S`. -/
def supports (M : Λ → stmt) (S : finset Λ) :=
default Λ ∈ S ∧ ∀ q ∈ S, supports_stmt S (M q)
theorem stmts_supports_stmt {M : Λ → stmt} {S q}
(ss : supports M S) : some q ∈ stmts M S → supports_stmt S q :=
by simp only [stmts, finset.mem_insert_none, finset.mem_bUnion,
option.mem_def, forall_eq', exists_imp_distrib];
exact λ l ls h, stmts₁_supports_stmt_mono h (ss.2 _ ls)
theorem step_supports (M : Λ → stmt) {S}
(ss : supports M S) : ∀ {c c' : cfg},
c' ∈ step M c → c.l ∈ S.insert_none → c'.l ∈ S.insert_none
| ⟨some l₁, v, T⟩ c' h₁ h₂ := begin
replace h₂ := ss.2 _ (finset.some_mem_insert_none.1 h₂),
simp only [step, option.mem_def] at h₁, subst c',
revert h₂, induction M l₁ with _ _ q IH _ _ q IH _ _ q IH _ q IH generalizing v T;
intro hs,
iterate 4 { exact IH _ _ hs },
case TM2.stmt.branch : p q₁' q₂' IH₁ IH₂ {
unfold step_aux, cases p v,
{ exact IH₂ _ _ hs.2 },
{ exact IH₁ _ _ hs.1 } },
case TM2.stmt.goto { exact finset.some_mem_insert_none.2 (hs _) },
case TM2.stmt.halt { apply multiset.mem_cons_self }
end
variable [inhabited σ]
/-- The initial state of the TM2 model. The input is provided on a designated stack. -/
def init (k) (L : list (Γ k)) : cfg :=
⟨some (default _), default _, update (λ _, []) k L⟩
/-- Evaluates a TM2 program to completion, with the output on the same stack as the input. -/
def eval (M : Λ → stmt) (k) (L : list (Γ k)) : part (list (Γ k)) :=
(eval (step M) (init k L)).map $ λ c, c.stk k
end
end TM2
/-!
## TM2 emulator in TM1
To prove that TM2 computable functions are TM1 computable, we need to reduce each TM2 program to a
TM1 program. So suppose a TM2 program is given. This program has to maintain a whole collection of
stacks, but we have only one tape, so we must "multiplex" them all together. Pictorially, if stack
1 contains `[a, b]` and stack 2 contains `[c, d, e, f]` then the tape looks like this:
```
bottom: ... | _ | T | _ | _ | _ | _ | ...
stack 1: ... | _ | b | a | _ | _ | _ | ...
stack 2: ... | _ | f | e | d | c | _ | ...
```
where a tape element is a vertical slice through the diagram. Here the alphabet is
`Γ' := bool × ∀ k, option (Γ k)`, where:
* `bottom : bool` is marked only in one place, the initial position of the TM, and represents the
tail of all stacks. It is never modified.
* `stk k : option (Γ k)` is the value of the `k`-th stack, if in range, otherwise `none` (which is
the blank value). Note that the head of the stack is at the far end; this is so that push and pop
don't have to do any shifting.
In "resting" position, the TM is sitting at the position marked `bottom`. For non-stack actions,
it operates in place, but for the stack actions `push`, `peek`, and `pop`, it must shuttle to the
end of the appropriate stack, make its changes, and then return to the bottom. So the states are:
* `normal (l : Λ)`: waiting at `bottom` to execute function `l`
* `go k (s : st_act k) (q : stmt₂)`: travelling to the right to get to the end of stack `k` in
order to perform stack action `s`, and later continue with executing `q`
* `ret (q : stmt₂)`: travelling to the left after having performed a stack action, and executing
`q` once we arrive
Because of the shuttling, emulation overhead is `O(n)`, where `n` is the current maximum of the
length of all stacks. Therefore a program that takes `k` steps to run in TM2 takes `O((m+k)k)`
steps to run when emulated in TM1, where `m` is the length of the input.
-/
namespace TM2to1
-- A displaced lemma proved in unnecessary generality
theorem stk_nth_val {K : Type*} {Γ : K → Type*} {L : list_blank (∀ k, option (Γ k))} {k S} (n)
(hL : list_blank.map (proj k) L = list_blank.mk (list.map some S).reverse) :
L.nth n k = S.reverse.nth n :=
begin
rw [← proj_map_nth, hL, ← list.map_reverse, list_blank.nth_mk, list.inth, list.nth_map],
cases S.reverse.nth n; refl
end
section
parameters {K : Type*} [decidable_eq K]
parameters {Γ : K → Type*}
parameters {Λ : Type*} [inhabited Λ]
parameters {σ : Type*} [inhabited σ]
local notation `stmt₂` := TM2.stmt Γ Λ σ
local notation `cfg₂` := TM2.cfg Γ Λ σ
/-- The alphabet of the TM2 simulator on TM1 is a marker for the stack bottom,
plus a vector of stack elements for each stack, or none if the stack does not extend this far. -/
@[nolint unused_arguments] -- [decidable_eq K]: Because K is a parameter, we cannot easily skip
-- the decidable_eq assumption, and this is a local definition anyway so it's not important.
def Γ' := bool × ∀ k, option (Γ k)
instance Γ'.inhabited : inhabited Γ' := ⟨⟨ff, λ _, none⟩⟩
instance Γ'.fintype [fintype K] [∀ k, fintype (Γ k)] : fintype Γ' :=
prod.fintype _ _
/-- The bottom marker is fixed throughout the calculation, so we use the `add_bottom` function
to express the program state in terms of a tape with only the stacks themselves. -/
def add_bottom (L : list_blank (∀ k, option (Γ k))) : list_blank Γ' :=
list_blank.cons (tt, L.head) (L.tail.map ⟨prod.mk ff, rfl⟩)
theorem add_bottom_map (L) : (add_bottom L).map ⟨prod.snd, rfl⟩ = L :=
begin
simp only [add_bottom, list_blank.map_cons]; convert list_blank.cons_head_tail _,
generalize : list_blank.tail L = L',
refine L'.induction_on _, intro l, simp,
rw (_ : _ ∘ _ = id), {simp},
funext a, refl
end
theorem add_bottom_modify_nth (f : (∀ k, option (Γ k)) → (∀ k, option (Γ k))) (L n) :
(add_bottom L).modify_nth (λ a, (a.1, f a.2)) n = add_bottom (L.modify_nth f n) :=
begin
cases n; simp only [add_bottom,
list_blank.head_cons, list_blank.modify_nth, list_blank.tail_cons],
congr, symmetry, apply list_blank.map_modify_nth, intro, refl
end
theorem add_bottom_nth_snd (L n) : ((add_bottom L).nth n).2 = L.nth n :=
by conv {to_rhs, rw [← add_bottom_map L, list_blank.nth_map]}; refl
theorem add_bottom_nth_succ_fst (L n) : ((add_bottom L).nth (n+1)).1 = ff :=
by rw [list_blank.nth_succ, add_bottom, list_blank.tail_cons, list_blank.nth_map]; refl
theorem add_bottom_head_fst (L) : (add_bottom L).head.1 = tt :=
by rw [add_bottom, list_blank.head_cons]; refl
/-- A stack action is a command that interacts with the top of a stack. Our default position
is at the bottom of all the stacks, so we have to hold on to this action while going to the end
to modify the stack. -/
inductive st_act (k : K)
| push : (σ → Γ k) → st_act
| peek : (σ → option (Γ k) → σ) → st_act
| pop : (σ → option (Γ k) → σ) → st_act
instance st_act.inhabited {k} : inhabited (st_act k) := ⟨st_act.peek (λ s _, s)⟩
section
open st_act
/-- The TM2 statement corresponding to a stack action. -/
@[nolint unused_arguments] -- [inhabited Λ]: as this is a local definition it is more trouble than
-- it is worth to omit the typeclass assumption without breaking the parameters
def st_run {k : K} : st_act k → stmt₂ → stmt₂
| (push f) := TM2.stmt.push k f
| (peek f) := TM2.stmt.peek k f
| (pop f) := TM2.stmt.pop k f
/-- The effect of a stack action on the local variables, given the value of the stack. -/
def st_var {k : K} (v : σ) (l : list (Γ k)) : st_act k → σ
| (push f) := v
| (peek f) := f v l.head'
| (pop f) := f v l.head'
/-- The effect of a stack action on the stack. -/
def st_write {k : K} (v : σ) (l : list (Γ k)) : st_act k → list (Γ k)
| (push f) := f v :: l
| (peek f) := l
| (pop f) := l.tail
/-- We have partitioned the TM2 statements into "stack actions", which require going to the end
of the stack, and all other actions, which do not. This is a modified recursor which lumps the
stack actions into one. -/
@[elab_as_eliminator] def {l} stmt_st_rec
{C : stmt₂ → Sort l}
(H₁ : Π k (s : st_act k) q (IH : C q), C (st_run s q))
(H₂ : Π a q (IH : C q), C (TM2.stmt.load a q))
(H₃ : Π p q₁ q₂ (IH₁ : C q₁) (IH₂ : C q₂), C (TM2.stmt.branch p q₁ q₂))
(H₄ : Π l, C (TM2.stmt.goto l))
(H₅ : C TM2.stmt.halt) : ∀ n, C n
| (TM2.stmt.push k f q) := H₁ _ (push f) _ (stmt_st_rec q)
| (TM2.stmt.peek k f q) := H₁ _ (peek f) _ (stmt_st_rec q)
| (TM2.stmt.pop k f q) := H₁ _ (pop f) _ (stmt_st_rec q)
| (TM2.stmt.load a q) := H₂ _ _ (stmt_st_rec q)
| (TM2.stmt.branch a q₁ q₂) := H₃ _ _ _ (stmt_st_rec q₁) (stmt_st_rec q₂)
| (TM2.stmt.goto l) := H₄ _
| TM2.stmt.halt := H₅
theorem supports_run (S : finset Λ) {k} (s : st_act k) (q) :
TM2.supports_stmt S (st_run s q) ↔ TM2.supports_stmt S q :=
by rcases s with _|_|_; refl
end
/-- The machine states of the TM2 emulator. We can either be in a normal state when waiting for the
next TM2 action, or we can be in the "go" and "return" states to go to the top of the stack and
return to the bottom, respectively. -/
inductive Λ' : Type (max u_1 u_2 u_3 u_4)
| normal : Λ → Λ'
| go (k) : st_act k → stmt₂ → Λ'
| ret : stmt₂ → Λ'
open Λ'
instance Λ'.inhabited : inhabited Λ' := ⟨normal (default _)⟩
local notation `stmt₁` := TM1.stmt Γ' Λ' σ
local notation `cfg₁` := TM1.cfg Γ' Λ' σ
open TM1.stmt
/-- The program corresponding to state transitions at the end of a stack. Here we start out just
after the top of the stack, and should end just after the new top of the stack. -/
def tr_st_act {k} (q : stmt₁) : st_act k → stmt₁
| (st_act.push f) := write (λ a s, (a.1, update a.2 k $ some $ f s)) $ move dir.right q
| (st_act.peek f) := move dir.left $ load (λ a s, f s (a.2 k)) $ move dir.right q
| (st_act.pop f) :=
branch (λ a _, a.1)
( load (λ a s, f s none) q )
( move dir.left $
load (λ a s, f s (a.2 k)) $
write (λ a s, (a.1, update a.2 k none)) q )
/-- The initial state for the TM2 emulator, given an initial TM2 state. All stacks start out empty
except for the input stack, and the stack bottom mark is set at the head. -/
def tr_init (k) (L : list (Γ k)) : list Γ' :=
let L' : list Γ' := L.reverse.map (λ a, (ff, update (λ _, none) k a)) in
(tt, L'.head.2) :: L'.tail
theorem step_run {k : K} (q v S) : ∀ s : st_act k,
TM2.step_aux (st_run s q) v S =
TM2.step_aux q (st_var v (S k) s) (update S k (st_write v (S k) s))
| (st_act.push f) := rfl
| (st_act.peek f) := by unfold st_write; rw function.update_eq_self; refl
| (st_act.pop f) := rfl
/-- The translation of TM2 statements to TM1 statements. regular actions have direct equivalents,
but stack actions are deferred by going to the corresponding `go` state, so that we can find the
appropriate stack top. -/
def tr_normal : stmt₂ → stmt₁
| (TM2.stmt.push k f q) := goto (λ _ _, go k (st_act.push f) q)
| (TM2.stmt.peek k f q) := goto (λ _ _, go k (st_act.peek f) q)
| (TM2.stmt.pop k f q) := goto (λ _ _, go k (st_act.pop f) q)
| (TM2.stmt.load a q) := load (λ _, a) (tr_normal q)
| (TM2.stmt.branch f q₁ q₂) := branch (λ a, f) (tr_normal q₁) (tr_normal q₂)
| (TM2.stmt.goto l) := goto (λ a s, normal (l s))
| TM2.stmt.halt := halt
theorem tr_normal_run {k} (s q) : tr_normal (st_run s q) = goto (λ _ _, go k s q) :=
by rcases s with _|_|_; refl
open_locale classical
/-- The set of machine states accessible from an initial TM2 statement. -/
noncomputable def tr_stmts₁ : stmt₂ → finset Λ'
| Q@(TM2.stmt.push k f q) := {go k (st_act.push f) q, ret q} ∪ tr_stmts₁ q
| Q@(TM2.stmt.peek k f q) := {go k (st_act.peek f) q, ret q} ∪ tr_stmts₁ q
| Q@(TM2.stmt.pop k f q) := {go k (st_act.pop f) q, ret q} ∪ tr_stmts₁ q
| Q@(TM2.stmt.load a q) := tr_stmts₁ q
| Q@(TM2.stmt.branch f q₁ q₂) := tr_stmts₁ q₁ ∪ tr_stmts₁ q₂
| _ := ∅
theorem tr_stmts₁_run {k s q} : tr_stmts₁ (st_run s q) = {go k s q, ret q} ∪ tr_stmts₁ q :=
by rcases s with _|_|_; unfold tr_stmts₁ st_run
theorem tr_respects_aux₂
{k q v} {S : Π k, list (Γ k)} {L : list_blank (∀ k, option (Γ k))}
(hL : ∀ k, L.map (proj k) = list_blank.mk ((S k).map some).reverse) (o) :
let v' := st_var v (S k) o,
Sk' := st_write v (S k) o,
S' := update S k Sk' in
∃ (L' : list_blank (∀ k, option (Γ k))),
(∀ k, L'.map (proj k) = list_blank.mk ((S' k).map some).reverse) ∧
TM1.step_aux (tr_st_act q o) v
((tape.move dir.right)^[(S k).length] (tape.mk' ∅ (add_bottom L))) =
TM1.step_aux q v'
((tape.move dir.right)^[(S' k).length] (tape.mk' ∅ (add_bottom L'))) :=
begin
dsimp only, simp, cases o;
simp only [st_write, st_var, tr_st_act, TM1.step_aux],
case TM2to1.st_act.push : f {
have := tape.write_move_right_n (λ a : Γ', (a.1, update a.2 k (some (f v)))),
dsimp only at this,
refine ⟨_, λ k', _, by rw [
tape.move_right_n_head, list.length, tape.mk'_nth_nat, this,
add_bottom_modify_nth (λ a, update a k (some (f v))),
nat.add_one, iterate_succ']⟩,
refine list_blank.ext (λ i, _),
rw [list_blank.nth_map, list_blank.nth_modify_nth, proj, pointed_map.mk_val],
by_cases h' : k' = k,
{ subst k', split_ifs; simp only [list.reverse_cons,
function.update_same, list_blank.nth_mk, list.inth, list.map],
{ rw [list.nth_le_nth, list.nth_le_append_right];
simp only [h, list.nth_le_singleton, list.length_map, list.length_reverse, nat.succ_pos',
list.length_append, lt_add_iff_pos_right, list.length] },
rw [← proj_map_nth, hL, list_blank.nth_mk, list.inth],
cases lt_or_gt_of_ne h with h h,
{ rw list.nth_append, simpa only [list.length_map, list.length_reverse] using h },
{ rw gt_iff_lt at h,
rw [list.nth_len_le, list.nth_len_le];
simp only [nat.add_one_le_iff, h, list.length, le_of_lt,
list.length_reverse, list.length_append, list.length_map] } },
{ split_ifs; rw [function.update_noteq h', ← proj_map_nth, hL],
rw function.update_noteq h' } },
case TM2to1.st_act.peek : f {
rw function.update_eq_self,
use [L, hL], rw [tape.move_left_right], congr,
cases e : S k, {refl},
rw [list.length_cons, iterate_succ', tape.move_right_left, tape.move_right_n_head,
tape.mk'_nth_nat, add_bottom_nth_snd, stk_nth_val _ (hL k), e,
list.reverse_cons, ← list.length_reverse, list.nth_concat_length], refl },
case TM2to1.st_act.pop : f {
cases e : S k,
{ simp only [tape.mk'_head, list_blank.head_cons, tape.move_left_mk',
list.length, tape.write_mk', list.head', iterate_zero_apply, list.tail_nil],
rw [← e, function.update_eq_self], exact ⟨L, hL, by rw [add_bottom_head_fst, cond]⟩ },
{ refine ⟨_, λ k', _, by rw [
list.length_cons, tape.move_right_n_head, tape.mk'_nth_nat, add_bottom_nth_succ_fst,
cond, iterate_succ', tape.move_right_left, tape.move_right_n_head, tape.mk'_nth_nat,
tape.write_move_right_n (λ a:Γ', (a.1, update a.2 k none)),
add_bottom_modify_nth (λ a, update a k none),
add_bottom_nth_snd, stk_nth_val _ (hL k), e,
show (list.cons hd tl).reverse.nth tl.length = some hd,
by rw [list.reverse_cons, ← list.length_reverse, list.nth_concat_length]; refl,
list.head', list.tail]⟩,
refine list_blank.ext (λ i, _),
rw [list_blank.nth_map, list_blank.nth_modify_nth, proj, pointed_map.mk_val],
by_cases h' : k' = k,
{ subst k', split_ifs; simp only [
function.update_same, list_blank.nth_mk, list.tail, list.inth],
{ rw [list.nth_len_le], {refl}, rw [h, list.length_reverse, list.length_map] },
rw [← proj_map_nth, hL, list_blank.nth_mk, list.inth, e, list.map, list.reverse_cons],
cases lt_or_gt_of_ne h with h h,
{ rw list.nth_append, simpa only [list.length_map, list.length_reverse] using h },
{ rw gt_iff_lt at h, rw [list.nth_len_le, list.nth_len_le];
simp only [nat.add_one_le_iff, h, list.length, le_of_lt,
list.length_reverse, list.length_append, list.length_map] } },
{ split_ifs; rw [function.update_noteq h', ← proj_map_nth, hL],
rw function.update_noteq h' } } },
end
parameters (M : Λ → stmt₂)
include M
/-- The TM2 emulator machine states written as a TM1 program.
This handles the `go` and `ret` states, which shuttle to and from a stack top. -/
def tr : Λ' → stmt₁
| (normal q) := tr_normal (M q)
| (go k s q) :=
branch (λ a s, (a.2 k).is_none) (tr_st_act (goto (λ _ _, ret q)) s)
(move dir.right $ goto (λ _ _, go k s q))
| (ret q) :=
branch (λ a s, a.1) (tr_normal q)
(move dir.left $ goto (λ _ _, ret q))
local attribute [pp_using_anonymous_constructor] turing.TM1.cfg
/-- The relation between TM2 configurations and TM1 configurations of the TM2 emulator. -/
inductive tr_cfg : cfg₂ → cfg₁ → Prop
| mk {q v} {S : ∀ k, list (Γ k)} (L : list_blank (∀ k, option (Γ k))) :
(∀ k, L.map (proj k) = list_blank.mk ((S k).map some).reverse) →
tr_cfg ⟨q, v, S⟩ ⟨q.map normal, v, tape.mk' ∅ (add_bottom L)⟩
theorem tr_respects_aux₁ {k} (o q v) {S : list (Γ k)} {L : list_blank (∀ k, option (Γ k))}
(hL : L.map (proj k) = list_blank.mk (S.map some).reverse) (n ≤ S.length) :
reaches₀ (TM1.step tr)
⟨some (go k o q), v, (tape.mk' ∅ (add_bottom L))⟩
⟨some (go k o q), v, (tape.move dir.right)^[n] (tape.mk' ∅ (add_bottom L))⟩ :=
begin
induction n with n IH, {refl},
apply (IH (le_of_lt H)).tail,
rw iterate_succ_apply', simp only [TM1.step, TM1.step_aux, tr,
tape.mk'_nth_nat, tape.move_right_n_head, add_bottom_nth_snd,
option.mem_def],
rw [stk_nth_val _ hL, list.nth_le_nth], refl, rwa list.length_reverse
end
theorem tr_respects_aux₃ {q v} {L : list_blank (∀ k, option (Γ k))} (n) :
reaches₀ (TM1.step tr)
⟨some (ret q), v, (tape.move dir.right)^[n] (tape.mk' ∅ (add_bottom L))⟩
⟨some (ret q), v, (tape.mk' ∅ (add_bottom L))⟩ :=
begin
induction n with n IH, {refl},
refine reaches₀.head _ IH,
rw [option.mem_def, TM1.step, tr, TM1.step_aux, tape.move_right_n_head, tape.mk'_nth_nat,
add_bottom_nth_succ_fst, TM1.step_aux, iterate_succ', tape.move_right_left], refl,
end
theorem tr_respects_aux {q v T k} {S : Π k, list (Γ k)}
(hT : ∀ k, list_blank.map (proj k) T = list_blank.mk ((S k).map some).reverse)
(o : st_act k)
(IH : ∀ {v : σ} {S : Π (k : K), list (Γ k)} {T : list_blank (∀ k, option (Γ k))},
(∀ k, list_blank.map (proj k) T = list_blank.mk ((S k).map some).reverse) →
(∃ b, tr_cfg (TM2.step_aux q v S) b ∧
reaches (TM1.step tr) (TM1.step_aux (tr_normal q) v (tape.mk' ∅ (add_bottom T))) b)) :
∃ b, tr_cfg (TM2.step_aux (st_run o q) v S) b ∧
reaches (TM1.step tr) (TM1.step_aux (tr_normal (st_run o q))
v (tape.mk' ∅ (add_bottom T))) b :=
begin
simp only [tr_normal_run, step_run],
have hgo := tr_respects_aux₁ M o q v (hT k) _ (le_refl _),
obtain ⟨T', hT', hrun⟩ := tr_respects_aux₂ hT o,
have hret := tr_respects_aux₃ M _,
have := hgo.tail' rfl,
rw [tr, TM1.step_aux, tape.move_right_n_head, tape.mk'_nth_nat, add_bottom_nth_snd,
stk_nth_val _ (hT k), list.nth_len_le (le_of_eq (list.length_reverse _)),
option.is_none, cond, hrun, TM1.step_aux] at this,
obtain ⟨c, gc, rc⟩ := IH hT',
refine ⟨c, gc, (this.to₀.trans hret c (trans_gen.head' rfl _)).to_refl⟩,
rw [tr, TM1.step_aux, tape.mk'_head, add_bottom_head_fst],
exact rc,
end
local attribute [simp] respects TM2.step TM2.step_aux tr_normal
theorem tr_respects : respects (TM2.step M) (TM1.step tr) tr_cfg :=
λ c₁ c₂ h, begin
cases h with l v S L hT, clear h,
cases l, {constructor},
simp only [TM2.step, respects, option.map_some'],
suffices : ∃ b, _ ∧ reaches (TM1.step (tr M)) _ _,
from let ⟨b, c, r⟩ := this in ⟨b, c, trans_gen.head' rfl r⟩,
rw [tr],
revert v S L hT, refine stmt_st_rec _ _ _ _ _ (M l); intros,
{ exact tr_respects_aux M hT s @IH },
{ exact IH _ hT },
{ unfold TM2.step_aux tr_normal TM1.step_aux,
cases p v; [exact IH₂ _ hT, exact IH₁ _ hT] },
{ exact ⟨_, ⟨_, hT⟩, refl_trans_gen.refl⟩ },
{ exact ⟨_, ⟨_, hT⟩, refl_trans_gen.refl⟩ }
end
theorem tr_cfg_init (k) (L : list (Γ k)) :
tr_cfg (TM2.init k L) (TM1.init (tr_init k L)) :=
begin
rw (_ : TM1.init _ = _),
{ refine ⟨list_blank.mk (L.reverse.map $ λ a, update (default _) k (some a)), λ k', _⟩,
refine list_blank.ext (λ i, _),
rw [list_blank.map_mk, list_blank.nth_mk, list.inth, list.map_map, (∘),
list.nth_map, proj, pointed_map.mk_val],
by_cases k' = k,
{ subst k', simp only [function.update_same],
rw [list_blank.nth_mk, list.inth, ← list.map_reverse, list.nth_map] },
{ simp only [function.update_noteq h],
rw [list_blank.nth_mk, list.inth, list.map, list.reverse_nil, list.nth],
cases L.reverse.nth i; refl } },
{ rw [tr_init, TM1.init], dsimp only, congr; cases L.reverse; try {refl},
simp only [list.map_map, list.tail_cons, list.map], refl }
end
theorem tr_eval_dom (k) (L : list (Γ k)) :
(TM1.eval tr (tr_init k L)).dom ↔ (TM2.eval M k L).dom :=
tr_eval_dom tr_respects (tr_cfg_init _ _)
theorem tr_eval (k) (L : list (Γ k)) {L₁ L₂}
(H₁ : L₁ ∈ TM1.eval tr (tr_init k L))
(H₂ : L₂ ∈ TM2.eval M k L) :
∃ (S : ∀ k, list (Γ k)) (L' : list_blank (∀ k, option (Γ k))),
add_bottom L' = L₁ ∧
(∀ k, L'.map (proj k) = list_blank.mk ((S k).map some).reverse) ∧
S k = L₂ :=
begin
obtain ⟨c₁, h₁, rfl⟩ := (part.mem_map_iff _).1 H₁,
obtain ⟨c₂, h₂, rfl⟩ := (part.mem_map_iff _).1 H₂,
obtain ⟨_, ⟨q, v, S, L', hT⟩, h₃⟩ := tr_eval (tr_respects M) (tr_cfg_init M k L) h₂,
cases part.mem_unique h₁ h₃,
exact ⟨S, L', by simp only [tape.mk'_right₀], hT, rfl⟩
end
/-- The support of a set of TM2 states in the TM2 emulator. -/
noncomputable def tr_supp (S : finset Λ) : finset Λ' :=
S.bUnion (λ l, insert (normal l) (tr_stmts₁ (M l)))
theorem tr_supports {S} (ss : TM2.supports M S) :
TM1.supports tr (tr_supp S) :=
⟨finset.mem_bUnion.2 ⟨_, ss.1, finset.mem_insert.2 $ or.inl rfl⟩,
λ l' h, begin
suffices : ∀ q (ss' : TM2.supports_stmt S q)
(sub : ∀ x ∈ tr_stmts₁ q, x ∈ tr_supp M S),
TM1.supports_stmt (tr_supp M S) (tr_normal q) ∧
(∀ l' ∈ tr_stmts₁ q, TM1.supports_stmt (tr_supp M S) (tr M l')),
{ rcases finset.mem_bUnion.1 h with ⟨l, lS, h⟩,
have := this _ (ss.2 l lS) (λ x hx,
finset.mem_bUnion.2 ⟨_, lS, finset.mem_insert_of_mem hx⟩),
rcases finset.mem_insert.1 h with rfl | h;
[exact this.1, exact this.2 _ h] },
clear h l', refine stmt_st_rec _ _ _ _ _; intros,
{ -- stack op
rw TM2to1.supports_run at ss',
simp only [TM2to1.tr_stmts₁_run, finset.mem_union,
finset.mem_insert, finset.mem_singleton] at sub,
have hgo := sub _ (or.inl $ or.inl rfl),
have hret := sub _ (or.inl $ or.inr rfl),
cases IH ss' (λ x hx, sub x $ or.inr hx) with IH₁ IH₂,
refine ⟨by simp only [tr_normal_run, TM1.supports_stmt]; intros; exact hgo, λ l h, _⟩,
rw [tr_stmts₁_run] at h,
simp only [TM2to1.tr_stmts₁_run, finset.mem_union,
finset.mem_insert, finset.mem_singleton] at h,
rcases h with ⟨rfl | rfl⟩ | h,
{ unfold TM1.supports_stmt TM2to1.tr,
rcases s with _|_|_,
{ exact ⟨λ _ _, hret, λ _ _, hgo⟩ },
{ exact ⟨λ _ _, hret, λ _ _, hgo⟩ },
{ exact ⟨⟨λ _ _, hret, λ _ _, hret⟩, λ _ _, hgo⟩ } },
{ unfold TM1.supports_stmt TM2to1.tr,
exact ⟨IH₁, λ _ _, hret⟩ },
{ exact IH₂ _ h } },
{ -- load
unfold TM2to1.tr_stmts₁ at ss' sub ⊢,
exact IH ss' sub },
{ -- branch
unfold TM2to1.tr_stmts₁ at sub,
cases IH₁ ss'.1 (λ x hx, sub x $ finset.mem_union_left _ hx) with IH₁₁ IH₁₂,
cases IH₂ ss'.2 (λ x hx, sub x $ finset.mem_union_right _ hx) with IH₂₁ IH₂₂,
refine ⟨⟨IH₁₁, IH₂₁⟩, λ l h, _⟩,
rw [tr_stmts₁] at h,
rcases finset.mem_union.1 h with h | h;
[exact IH₁₂ _ h, exact IH₂₂ _ h] },
{ -- goto
rw tr_stmts₁, unfold TM2to1.tr_normal TM1.supports_stmt,
unfold TM2.supports_stmt at ss',
exact ⟨λ _ v, finset.mem_bUnion.2 ⟨_, ss' v, finset.mem_insert_self _ _⟩, λ _, false.elim⟩ },
{ exact ⟨trivial, λ _, false.elim⟩ } -- halt
end⟩
end
end TM2to1
end turing
|
726ceac48171e18007bc86a0f926cd056bd56027 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/backtrackable_estate.lean | 113adcc3c8ca4c7dfb8b86dae4bae500917047f4 | [
"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 | 691 | lean | import Init.System.IO
structure MyState :=
bs : Nat := 0 -- backtrackable state
ps : Nat := 0 -- non backtrackable state
instance : Repr MyState where
reprPrec s _ := repr (s.bs, s.ps)
instance : EStateM.Backtrackable Nat MyState :=
{ save := fun s => s.bs,
restore := fun s d => { s with bs := d } }
abbrev M := EStateM String MyState
def bInc : M Unit := -- increment backtrackble counter
modify $ fun s => { s with bs := s.bs + 1 }
def pInc : M Unit := -- increment nonbacktrackable counter
modify $ fun s => { s with ps := s.ps + 1 }
def tst : M MyState :=
do bInc;
pInc;
((bInc *> throw "failed") <|> pInc);
pInc;
get
#eval tst.run' {} -- (some (1, 3))
|
0725de504969b3d534d1a02b4a414e347395367f | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/analysis/normed_space/pi_Lp.lean | 66dc76d711ce5f6aa54801e28dd6f900d37486c9 | [
"Apache-2.0"
] | permissive | jjgarzella/mathlib | 96a345378c4e0bf26cf604aed84f90329e4896a2 | 395d8716c3ad03747059d482090e2bb97db612c8 | refs/heads/master | 1,686,480,124,379 | 1,625,163,323,000 | 1,625,163,323,000 | 281,190,421 | 2 | 0 | Apache-2.0 | 1,595,268,170,000 | 1,595,268,169,000 | null | UTF-8 | Lean | false | false | 21,993 | lean | /-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import analysis.mean_inequalities
import analysis.normed_space.inner_product
/-!
# `L^p` distance on finite products of metric spaces
Given finitely many metric spaces, one can put the max distance on their product, but there is also
a whole family of natural distances, indexed by a real parameter `p ∈ [1, ∞)`, that also induce
the product topology. We define them in this file. The distance on `Π i, α i` is given by
$$
d(x, y) = \left(\sum d(x_i, y_i)^p\right)^{1/p}.
$$
We give instances of this construction for emetric spaces, metric spaces, normed groups and normed
spaces.
To avoid conflicting instances, all these are defined on a copy of the original Pi type, named
`pi_Lp p hp α`, where `hp : 1 ≤ p`. This assumption is included in the definition of the type
to make sure that it is always available to typeclass inference to construct the instances.
We ensure that the topology and uniform structure on `pi_Lp p hp α` are (defeq to) the product
topology and product uniformity, to be able to use freely continuity statements for the coordinate
functions, for instance.
In the specific case of the `L^2`-norm, we show that we get an inner product space.
We define `euclidean_space 𝕜 n` to be `pi_Lp 2 _ (n → 𝕜)` for any `fintype n`, i.e., the space
from functions to `n` to `𝕜` with the `L^2` norm, and register several instances on it
(notably that it is a finite-dimensional inner product space).
## Implementation notes
We only deal with the `L^p` distance on a product of finitely many metric spaces, which may be
distinct. A closely related construction is the `L^p` norm on the space of
functions from a measure space to a normed space, where the norm is
$$
\left(\int ∥f (x)∥^p dμ\right)^{1/p}.
$$
However, the topology induced by this construction is not the product topology, this only
defines a seminorm (as almost everywhere zero functions have zero `L^p` norm), and some functions
have infinite `L^p` norm. All these subtleties are not present in the case of finitely many
metric spaces (which corresponds to the basis which is a finite space with the counting measure),
hence it is worth devoting a file to this specific case which is particularly well behaved.
The general case is not yet formalized in mathlib.
To prove that the topology (and the uniform structure) on a finite product with the `L^p` distance
are the same as those coming from the `L^∞` distance, we could argue that the `L^p` and `L^∞` norms
are equivalent on `ℝ^n` for abstract (norm equivalence) reasons. Instead, we give a more explicit
(easy) proof which provides a comparison between these two norms with explicit constants.
We also set up the theory for `pseudo_emetric_space` and `pseudo_metric_space`.
-/
open real set filter is_R_or_C
open_locale big_operators uniformity topological_space nnreal ennreal
noncomputable theory
variables {ι : Type*}
/-- A copy of a Pi type, on which we will put the `L^p` distance. Since the Pi type itself is
already endowed with the `L^∞` distance, we need the type synonym to avoid confusing typeclass
resolution. Also, we let it depend on `p`, to get a whole family of type on which we can put
different distances, and we provide the assumption `hp` in the definition, to make it available
to typeclass resolution when it looks for a distance on `pi_Lp p hp α`. -/
@[nolint unused_arguments]
def pi_Lp {ι : Type*} (p : ℝ) (hp : 1 ≤ p) (α : ι → Type*) : Type* := Π (i : ι), α i
instance {ι : Type*} (p : ℝ) (hp : 1 ≤ p) (α : ι → Type*) [∀ i, inhabited (α i)] :
inhabited (pi_Lp p hp α) :=
⟨λ i, default (α i)⟩
namespace pi_Lp
variables (p : ℝ) (hp : 1 ≤ p) (α : ι → Type*) (β : ι → Type*)
/-- Canonical bijection between `pi_Lp p hp α` and the original Pi type. We introduce it to be able
to compare the `L^p` and `L^∞` distances through it. -/
protected def equiv : pi_Lp p hp α ≃ Π (i : ι), α i :=
equiv.refl _
section
/-!
### The uniformity on finite `L^p` products is the product uniformity
In this section, we put the `L^p` edistance on `pi_Lp p hp α`, and we check that the uniformity
coming from this edistance coincides with the product uniformity, by showing that the canonical
map to the Pi type (with the `L^∞` distance) is a uniform embedding, as it is both Lipschitz and
antiLipschitz.
We only register this emetric space structure as a temporary instance, as the true instance (to be
registered later) will have as uniformity exactly the product uniformity, instead of the one coming
from the edistance (which is equal to it, but not defeq). See Note [forgetful inheritance]
explaining why having definitionally the right uniformity is often important.
-/
variables [∀ i, emetric_space (α i)] [∀ i, pseudo_emetric_space (β i)] [fintype ι]
/-- Endowing the space `pi_Lp p hp β` with the `L^p` pseudoedistance. This definition is not
satisfactory, as it does not register the fact that the topology and the uniform structure coincide
with the product one. Therefore, we do not register it as an instance. Using this as a temporary
pseudoemetric space instance, we will show that the uniform structure is equal (but not defeq) to
the product one, and then register an instance in which we replace the uniform structure by the
product one using this pseudoemetric space and `pseudo_emetric_space.replace_uniformity`. -/
def pseudo_emetric_aux : pseudo_emetric_space (pi_Lp p hp β) :=
have pos : 0 < p := lt_of_lt_of_le zero_lt_one hp,
{ edist := λ f g, (∑ (i : ι), (edist (f i) (g i)) ^ p) ^ (1/p),
edist_self := λ f, by simp [edist, ennreal.zero_rpow_of_pos pos,
ennreal.zero_rpow_of_pos (inv_pos.2 pos)],
edist_comm := λ f g, by simp [edist, edist_comm],
edist_triangle := λ f g h, calc
(∑ (i : ι), edist (f i) (h i) ^ p) ^ (1 / p) ≤
(∑ (i : ι), (edist (f i) (g i) + edist (g i) (h i)) ^ p) ^ (1 / p) :
begin
apply ennreal.rpow_le_rpow _ (one_div_nonneg.2 $ le_of_lt pos),
refine finset.sum_le_sum (λ i hi, _),
exact ennreal.rpow_le_rpow (edist_triangle _ _ _) (le_trans zero_le_one hp)
end
... ≤
(∑ (i : ι), edist (f i) (g i) ^ p) ^ (1 / p) + (∑ (i : ι), edist (g i) (h i) ^ p) ^ (1 / p) :
ennreal.Lp_add_le _ _ _ hp }
/-- Endowing the space `pi_Lp p hp α` with the `L^p` edistance. This definition is not satisfactory,
as it does not register the fact that the topology and the uniform structure coincide with the
product one. Therefore, we do not register it as an instance. Using this as a temporary emetric
space instance, we will show that the uniform structure is equal (but not defeq) to the product one,
and then register an instance in which we replace the uniform structure by the product one using
this emetric space and `emetric_space.replace_uniformity`. -/
def emetric_aux : emetric_space (pi_Lp p hp α) :=
{ eq_of_edist_eq_zero := λ f g hfg,
begin
have pos : 0 < p := lt_of_lt_of_le zero_lt_one hp,
letI h := pseudo_emetric_aux p hp α,
have h : edist f g = (∑ (i : ι), (edist (f i) (g i)) ^ p) ^ (1/p) := rfl,
simp [h, ennreal.rpow_eq_zero_iff, pos, asymm pos, finset.sum_eq_zero_iff_of_nonneg] at hfg,
exact funext hfg
end,
..pseudo_emetric_aux p hp α }
local attribute [instance] pi_Lp.emetric_aux pi_Lp.pseudo_emetric_aux
lemma lipschitz_with_equiv : lipschitz_with 1 (pi_Lp.equiv p hp β) :=
begin
have pos : 0 < p := lt_of_lt_of_le zero_lt_one hp,
have cancel : p * (1/p) = 1 := mul_div_cancel' 1 (ne_of_gt pos),
assume x y,
simp only [edist, forall_prop_of_true, one_mul, finset.mem_univ, finset.sup_le_iff,
ennreal.coe_one],
assume i,
calc
edist (x i) (y i) = (edist (x i) (y i) ^ p) ^ (1/p) :
by simp [← ennreal.rpow_mul, cancel, -one_div]
... ≤ (∑ (i : ι), edist (x i) (y i) ^ p) ^ (1 / p) :
begin
apply ennreal.rpow_le_rpow _ (one_div_nonneg.2 $ le_of_lt pos),
exact finset.single_le_sum (λ i hi, (bot_le : (0 : ℝ≥0∞) ≤ _)) (finset.mem_univ i)
end
end
lemma antilipschitz_with_equiv :
antilipschitz_with ((fintype.card ι : ℝ≥0) ^ (1/p)) (pi_Lp.equiv p hp β) :=
begin
have pos : 0 < p := lt_of_lt_of_le zero_lt_one hp,
have nonneg : 0 ≤ 1 / p := one_div_nonneg.2 (le_of_lt pos),
have cancel : p * (1/p) = 1 := mul_div_cancel' 1 (ne_of_gt pos),
assume x y,
simp [edist, -one_div],
calc (∑ (i : ι), edist (x i) (y i) ^ p) ^ (1 / p) ≤
(∑ (i : ι), edist (pi_Lp.equiv p hp β x) (pi_Lp.equiv p hp β y) ^ p) ^ (1 / p) :
begin
apply ennreal.rpow_le_rpow _ nonneg,
apply finset.sum_le_sum (λ i hi, _),
apply ennreal.rpow_le_rpow _ (le_of_lt pos),
exact finset.le_sup (finset.mem_univ i)
end
... = (((fintype.card ι : ℝ≥0)) ^ (1/p) : ℝ≥0) *
edist (pi_Lp.equiv p hp β x) (pi_Lp.equiv p hp β y) :
begin
simp only [nsmul_eq_mul, finset.card_univ, ennreal.rpow_one, finset.sum_const,
ennreal.mul_rpow_of_nonneg _ _ nonneg, ←ennreal.rpow_mul, cancel],
have : (fintype.card ι : ℝ≥0∞) = (fintype.card ι : ℝ≥0) :=
(ennreal.coe_nat (fintype.card ι)).symm,
rw [this, ennreal.coe_rpow_of_nonneg _ nonneg]
end
end
lemma aux_uniformity_eq :
𝓤 (pi_Lp p hp β) = @uniformity _ (Pi.uniform_space _) :=
begin
have A : uniform_inducing (pi_Lp.equiv p hp β) :=
(antilipschitz_with_equiv p hp β).uniform_inducing
(lipschitz_with_equiv p hp β).uniform_continuous,
have : (λ (x : pi_Lp p hp β × pi_Lp p hp β),
((pi_Lp.equiv p hp β) x.fst, (pi_Lp.equiv p hp β) x.snd)) = id,
by ext i; refl,
rw [← A.comap_uniformity, this, comap_id]
end
end
/-! ### Instances on finite `L^p` products -/
instance uniform_space [∀ i, uniform_space (β i)] : uniform_space (pi_Lp p hp β) :=
Pi.uniform_space _
variable [fintype ι]
/-- pseudoemetric space instance on the product of finitely many pseudoemetric spaces, using the
`L^p` pseudoedistance, and having as uniformity the product uniformity. -/
instance [∀ i, pseudo_emetric_space (β i)] : pseudo_emetric_space (pi_Lp p hp β) :=
(pseudo_emetric_aux p hp β).replace_uniformity (aux_uniformity_eq p hp β).symm
/-- emetric space instance on the product of finitely many emetric spaces, using the `L^p`
edistance, and having as uniformity the product uniformity. -/
instance [∀ i, emetric_space (α i)] : emetric_space (pi_Lp p hp α) :=
(emetric_aux p hp α).replace_uniformity (aux_uniformity_eq p hp α).symm
protected lemma edist {p : ℝ} {hp : 1 ≤ p} {β : ι → Type*}
[∀ i, pseudo_emetric_space (β i)] (x y : pi_Lp p hp β) :
edist x y = (∑ (i : ι), (edist (x i) (y i)) ^ p) ^ (1/p) := rfl
/-- pseudometric space instance on the product of finitely many psuedometric spaces, using the
`L^p` distance, and having as uniformity the product uniformity. -/
instance [∀ i, pseudo_metric_space (β i)] : pseudo_metric_space (pi_Lp p hp β) :=
begin
/- we construct the instance from the pseudo emetric space instance to avoid checking again that
the uniformity is the same as the product uniformity, but we register nevertheless a nice formula
for the distance -/
have pos : 0 < p := lt_of_lt_of_le zero_lt_one hp,
refine pseudo_emetric_space.to_pseudo_metric_space_of_dist
(λf g, (∑ (i : ι), (dist (f i) (g i)) ^ p) ^ (1/p)) (λ f g, _) (λ f g, _),
{ simp [pi_Lp.edist, ennreal.rpow_eq_top_iff, asymm pos, pos,
ennreal.sum_eq_top_iff, edist_ne_top] },
{ have A : ∀ (i : ι), i ∈ (finset.univ : finset ι) → edist (f i) (g i) ^ p < ⊤ :=
λ i hi, by simp [lt_top_iff_ne_top, edist_ne_top, le_of_lt pos],
simp [dist, -one_div, pi_Lp.edist, ← ennreal.to_real_rpow,
ennreal.to_real_sum A, dist_edist] }
end
/-- metric space instance on the product of finitely many metric spaces, using the `L^p` distance,
and having as uniformity the product uniformity. -/
instance [∀ i, metric_space (α i)] : metric_space (pi_Lp p hp α) :=
begin
/- we construct the instance from the emetric space instance to avoid checking again that the
uniformity is the same as the product uniformity, but we register nevertheless a nice formula
for the distance -/
have pos : 0 < p := lt_of_lt_of_le zero_lt_one hp,
refine emetric_space.to_metric_space_of_dist
(λf g, (∑ (i : ι), (dist (f i) (g i)) ^ p) ^ (1/p)) (λ f g, _) (λ f g, _),
{ simp [pi_Lp.edist, ennreal.rpow_eq_top_iff, asymm pos, pos,
ennreal.sum_eq_top_iff, edist_ne_top] },
{ have A : ∀ (i : ι), i ∈ (finset.univ : finset ι) → edist (f i) (g i) ^ p < ⊤ :=
λ i hi, by simp [lt_top_iff_ne_top, edist_ne_top, le_of_lt pos],
simp [dist, -one_div, pi_Lp.edist, ← ennreal.to_real_rpow,
ennreal.to_real_sum A, dist_edist] }
end
protected lemma dist {p : ℝ} {hp : 1 ≤ p} {β : ι → Type*}
[∀ i, pseudo_metric_space (β i)] (x y : pi_Lp p hp β) :
dist x y = (∑ (i : ι), (dist (x i) (y i)) ^ p) ^ (1/p) := rfl
/-- seminormed group instance on the product of finitely many normed groups, using the `L^p`
norm. -/
instance semi_normed_group [∀i, semi_normed_group (β i)] : semi_normed_group (pi_Lp p hp β) :=
{ norm := λf, (∑ (i : ι), norm (f i) ^ p) ^ (1/p),
dist_eq := λ x y, by { simp [pi_Lp.dist, dist_eq_norm, sub_eq_add_neg] },
.. pi.add_comm_group }
/-- normed group instance on the product of finitely many normed groups, using the `L^p` norm. -/
instance normed_group [∀i, normed_group (α i)] : normed_group (pi_Lp p hp α) :=
{ ..pi_Lp.semi_normed_group p hp α }
lemma norm_eq {p : ℝ} {hp : 1 ≤ p} {β : ι → Type*}
[∀i, semi_normed_group (β i)] (f : pi_Lp p hp β) :
∥f∥ = (∑ (i : ι), ∥f i∥ ^ p) ^ (1/p) := rfl
lemma norm_eq_of_nat {p : ℝ} {hp : 1 ≤ p} {β : ι → Type*}
[∀i, semi_normed_group (β i)] (n : ℕ) (h : p = n) (f : pi_Lp p hp β) :
∥f∥ = (∑ (i : ι), ∥f i∥ ^ n) ^ (1/(n : ℝ)) :=
by simp [norm_eq, h, real.sqrt_eq_rpow, ←real.rpow_nat_cast]
variables (𝕜 : Type*) [normed_field 𝕜]
/-- The product of finitely many seminormed spaces is a seminormed space, with the `L^p` norm. -/
instance semi_normed_space [∀i, semi_normed_group (β i)] [∀i, semi_normed_space 𝕜 (β i)] :
semi_normed_space 𝕜 (pi_Lp p hp β) :=
{ norm_smul_le :=
begin
assume c f,
have : p * (1 / p) = 1 := mul_div_cancel' 1 (ne_of_gt (lt_of_lt_of_le zero_lt_one hp)),
simp only [pi_Lp.norm_eq, norm_smul, mul_rpow, norm_nonneg, ←finset.mul_sum, pi.smul_apply],
rw [mul_rpow (rpow_nonneg_of_nonneg (norm_nonneg _) _), ← rpow_mul (norm_nonneg _),
this, rpow_one],
exact finset.sum_nonneg (λ i hi, rpow_nonneg_of_nonneg (norm_nonneg _) _)
end,
.. pi.module ι β 𝕜 }
/-- The product of finitely many normed spaces is a normed space, with the `L^p` norm. -/
instance normed_space [∀i, normed_group (α i)] [∀i, normed_space 𝕜 (α i)] :
normed_space 𝕜 (pi_Lp p hp α) :=
{ ..pi_Lp.semi_normed_space p hp α 𝕜 }
/- Register simplification lemmas for the applications of `pi_Lp` elements, as the usual lemmas
for Pi types will not trigger. -/
variables {𝕜 p hp α}
[∀i, semi_normed_group (β i)] [∀i, semi_normed_space 𝕜 (β i)] (c : 𝕜) (x y : pi_Lp p hp β) (i : ι)
@[simp] lemma add_apply : (x + y) i = x i + y i := rfl
@[simp] lemma sub_apply : (x - y) i = x i - y i := rfl
@[simp] lemma smul_apply : (c • x) i = c • x i := rfl
@[simp] lemma neg_apply : (-x) i = - (x i) := rfl
end pi_Lp
section
/-! ### Inner product space structure on product spaces -/
variables {𝕜 : Type*} [is_R_or_C 𝕜] {E : Type*} [inner_product_space 𝕜 E]
local notation `⟪`x`, `y`⟫` := @inner 𝕜 _ _ x y
/-
If `ι` is a finite type and each space `f i`, `i : ι`, is an inner product space,
then `Π i, f i` is an inner product space as well. Since `Π i, f i` is endowed with the sup norm,
we use instead `pi_Lp 2 one_le_two f` for the product space, which is endowed with the `L^2` norm.
-/
instance pi_Lp.inner_product_space {ι : Type*} [fintype ι] (f : ι → Type*)
[Π i, inner_product_space 𝕜 (f i)] : inner_product_space 𝕜 (pi_Lp 2 one_le_two f) :=
{ inner := λ x y, ∑ i, inner (x i) (y i),
norm_sq_eq_inner :=
begin
intro x,
have h₁ : ∑ (i : ι), ∥x i∥ ^ (2 : ℕ) = ∑ (i : ι), ∥x i∥ ^ (2 : ℝ),
{ apply finset.sum_congr rfl,
intros j hj,
simp [←rpow_nat_cast] },
have h₂ : 0 ≤ ∑ (i : ι), ∥x i∥ ^ (2 : ℝ),
{ rw [←h₁],
exact finset.sum_nonneg (λ j (hj : j ∈ finset.univ), pow_nonneg (norm_nonneg (x j)) 2) },
simp [norm, add_monoid_hom.map_sum, ←norm_sq_eq_inner],
rw [←rpow_nat_cast ((∑ (i : ι), ∥x i∥ ^ (2 : ℝ)) ^ (2 : ℝ)⁻¹) 2],
rw [←rpow_mul h₂],
norm_num [h₁],
end,
conj_sym :=
begin
intros x y,
unfold inner,
rw [←finset.sum_hom finset.univ conj],
apply finset.sum_congr rfl,
rintros z -,
apply inner_conj_sym,
apply_instance
end,
add_left := λ x y z,
show ∑ i, inner (x i + y i) (z i) = ∑ i, inner (x i) (z i) + ∑ i, inner (y i) (z i),
by simp only [inner_add_left, finset.sum_add_distrib],
smul_left := λ x y r,
show ∑ (i : ι), inner (r • x i) (y i) = (conj r) * ∑ i, inner (x i) (y i),
by simp only [finset.mul_sum, inner_smul_left] }
@[simp] lemma pi_Lp.inner_apply {ι : Type*} [fintype ι] {f : ι → Type*}
[Π i, inner_product_space 𝕜 (f i)] (x y : pi_Lp 2 one_le_two f) :
⟪x, y⟫ = ∑ i, ⟪x i, y i⟫ :=
rfl
lemma pi_Lp.norm_eq_of_L2 {ι : Type*} [fintype ι] {f : ι → Type*}
[Π i, inner_product_space 𝕜 (f i)] (x : pi_Lp 2 one_le_two f) :
∥x∥ = sqrt (∑ (i : ι), ∥x i∥ ^ 2) :=
by { rw [pi_Lp.norm_eq_of_nat 2]; simp [sqrt_eq_rpow] }
/-- The standard real/complex Euclidean space, functions on a finite type. For an `n`-dimensional
space use `euclidean_space 𝕜 (fin n)`. -/
@[reducible, nolint unused_arguments]
def euclidean_space (𝕜 : Type*) [is_R_or_C 𝕜]
(n : Type*) [fintype n] : Type* := pi_Lp 2 one_le_two (λ (i : n), 𝕜)
lemma euclidean_space.norm_eq {𝕜 : Type*} [is_R_or_C 𝕜] {n : Type*} [fintype n]
(x : euclidean_space 𝕜 n) : ∥x∥ = real.sqrt (∑ (i : n), ∥x i∥ ^ 2) :=
pi_Lp.norm_eq_of_L2 x
section
local attribute [reducible] pi_Lp
variables [fintype ι]
instance : finite_dimensional 𝕜 (euclidean_space 𝕜 ι) := by apply_instance
instance : inner_product_space 𝕜 (euclidean_space 𝕜 ι) := by apply_instance
@[simp] lemma finrank_euclidean_space :
finite_dimensional.finrank 𝕜 (euclidean_space 𝕜 ι) = fintype.card ι := by simp
lemma finrank_euclidean_space_fin {n : ℕ} :
finite_dimensional.finrank 𝕜 (euclidean_space 𝕜 (fin n)) = n := by simp
/-- An orthonormal basis on a fintype `ι` for an inner product space induces an isometry with
`euclidean_space 𝕜 ι`. -/
def basis.isometry_euclidean_of_orthonormal
(v : basis ι 𝕜 E) (hv : orthonormal 𝕜 v) :
E ≃ₗᵢ[𝕜] (euclidean_space 𝕜 ι) :=
v.equiv_fun.isometry_of_inner
begin
intros x y,
let p : euclidean_space 𝕜 ι := v.equiv_fun x,
let q : euclidean_space 𝕜 ι := v.equiv_fun y,
have key : ⟪p, q⟫ = ⟪∑ i, p i • v i, ∑ i, q i • v i⟫,
{ simp [sum_inner, inner_smul_left, hv.inner_right_fintype] },
convert key,
{ rw [← v.equiv_fun.symm_apply_apply x, v.equiv_fun_symm_apply] },
{ rw [← v.equiv_fun.symm_apply_apply y, v.equiv_fun_symm_apply] }
end
end
/-- `ℂ` is isometric to `ℝ²` with the Euclidean inner product. -/
def complex.isometry_euclidean : ℂ ≃ₗᵢ[ℝ] (euclidean_space ℝ (fin 2)) :=
complex.basis_one_I.isometry_euclidean_of_orthonormal
begin
rw orthonormal_iff_ite,
intros i, fin_cases i;
intros j; fin_cases j;
simp [real_inner_eq_re_inner]
end
@[simp] lemma complex.isometry_euclidean_symm_apply (x : euclidean_space ℝ (fin 2)) :
complex.isometry_euclidean.symm x = (x 0) + (x 1) * I :=
begin
convert complex.basis_one_I.equiv_fun_symm_apply x,
{ simpa },
{ simp },
end
lemma complex.isometry_euclidean_proj_eq_self (z : ℂ) :
↑(complex.isometry_euclidean z 0) + ↑(complex.isometry_euclidean z 1) * (I : ℂ) = z :=
by rw [← complex.isometry_euclidean_symm_apply (complex.isometry_euclidean z),
complex.isometry_euclidean.symm_apply_apply z]
@[simp] lemma complex.isometry_euclidean_apply_zero (z : ℂ) :
complex.isometry_euclidean z 0 = z.re :=
by { conv_rhs { rw ← complex.isometry_euclidean_proj_eq_self z }, simp }
@[simp] lemma complex.isometry_euclidean_apply_one (z : ℂ) :
complex.isometry_euclidean z 1 = z.im :=
by { conv_rhs { rw ← complex.isometry_euclidean_proj_eq_self z }, simp }
open finite_dimensional
/-- Given a natural number `n` equal to the `finrank` of a finite-dimensional inner product space,
there exists an isometry from the space to `euclidean_space 𝕜 (fin n)`. -/
def linear_isometry_equiv.of_inner_product_space
[finite_dimensional 𝕜 E] {n : ℕ} (hn : finrank 𝕜 E = n) :
E ≃ₗᵢ[𝕜] (euclidean_space 𝕜 (fin n)) :=
(fin_orthonormal_basis hn).isometry_euclidean_of_orthonormal (fin_orthonormal_basis_orthonormal hn)
local attribute [instance] finite_dimensional_of_finrank_eq_succ
/-- Given a natural number `n` one less than the `finrank` of a finite-dimensional inner product
space, there exists an isometry from the orthogonal complement of a nonzero singleton to
`euclidean_space 𝕜 (fin n)`. -/
def linear_isometry_equiv.from_orthogonal_span_singleton
(n : ℕ) [fact (finrank 𝕜 E = n + 1)] {v : E} (hv : v ≠ 0) :
(𝕜 ∙ v)ᗮ ≃ₗᵢ[𝕜] (euclidean_space 𝕜 (fin n)) :=
linear_isometry_equiv.of_inner_product_space (finrank_orthogonal_span_singleton hv)
end
|
1c17f3bee2d600abf75b44958067e66fc2f2616e | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/algebra/module/prod.lean | 2f19cb78e953a959ec00ebe532df4ea3c7d314f0 | [
"Apache-2.0"
] | permissive | jjgarzella/mathlib | 96a345378c4e0bf26cf604aed84f90329e4896a2 | 395d8716c3ad03747059d482090e2bb97db612c8 | refs/heads/master | 1,686,480,124,379 | 1,625,163,323,000 | 1,625,163,323,000 | 281,190,421 | 2 | 0 | Apache-2.0 | 1,595,268,170,000 | 1,595,268,169,000 | null | UTF-8 | Lean | false | false | 1,145 | lean | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot, Eric Wieser
-/
import algebra.module.basic
import group_theory.group_action.prod
/-!
# Prod instances for module and multiplicative actions
This file defines instances for binary product of modules
-/
variables {R : Type*} {S : Type*} {M : Type*} {N : Type*}
namespace prod
instance {r : semiring R} [add_comm_monoid M] [add_comm_monoid N]
[module R M] [module R N] : module R (M × N) :=
{ add_smul := λ a p₁ p₂, mk.inj_iff.mpr ⟨add_smul _ _ _, add_smul _ _ _⟩,
zero_smul := λ ⟨b, c⟩, mk.inj_iff.mpr ⟨zero_smul _ _, zero_smul _ _⟩,
.. prod.distrib_mul_action }
instance {r : semiring R} [add_comm_monoid M] [add_comm_monoid N]
[module R M] [module R N]
[no_zero_smul_divisors R M] [no_zero_smul_divisors R N] :
no_zero_smul_divisors R (M × N) :=
⟨λ c ⟨x, y⟩ h, or_iff_not_imp_left.mpr (λ hc, mk.inj_iff.mpr
⟨(smul_eq_zero.mp (congr_arg fst h)).resolve_left hc,
(smul_eq_zero.mp (congr_arg snd h)).resolve_left hc⟩)⟩
end prod
|
2ba8179459e620ae2d3a867aeabb8fabd0c2bd30 | aa5a655c05e5359a70646b7154e7cac59f0b4132 | /src/Std/Data/DList.lean | 6f9372125d2c412e9a434b8e1cc965a53f0929ec | [
"Apache-2.0"
] | permissive | lambdaxymox/lean4 | ae943c960a42247e06eff25c35338268d07454cb | 278d47c77270664ef29715faab467feac8a0f446 | refs/heads/master | 1,677,891,867,340 | 1,612,500,005,000 | 1,612,500,005,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 1,812 | lean | /-
Copyright (c) 2018 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Leonardo de Moura
-/
namespace Std
universes u
/--
A difference List is a Function that, given a List, returns the original
contents of the difference List prepended to the given List.
This structure supports `O(1)` `append` and `concat` operations on lists, making it
useful for append-heavy uses such as logging and pretty printing.
-/
structure DList (α : Type u) where
apply : List α → List α
invariant : ∀ l, apply l = apply [] ++ l
namespace DList
variable {α : Type u}
open List
def ofList (l : List α) : DList α :=
⟨(l ++ ·), fun t => by show _ = (l ++ []) ++ _; rw appendNil⟩
def empty : DList α :=
⟨id, fun t => rfl⟩
instance : EmptyCollection (DList α) :=
⟨DList.empty⟩
def toList : DList α → List α
| ⟨f, h⟩ => f []
def singleton (a : α) : DList α := {
apply := fun t => a :: t,
invariant := fun t => rfl
}
def cons : α → DList α → DList α
| a, ⟨f, h⟩ => {
apply := fun t => a :: f t,
invariant := by
intro t
show a :: f t = a :: f [] ++ t
rw [consAppend, h]
}
def append : DList α → DList α → DList α
| ⟨f, h₁⟩, ⟨g, h₂⟩ => {
apply := f ∘ g,
invariant := by
intro t
show f (g t) = (f (g [])) ++ t
rw [h₁ (g t), h₂ t, ← appendAssoc (f []) (g []) t, ← h₁ (g [])]
}
def push : DList α → α → DList α
| ⟨f, h⟩, a => {
apply := fun t => f (a :: t),
invariant := by
intro t
show f (a :: t) = f (a :: nil) ++ t
rw [h [a], h (a::t), appendAssoc (f []) [a] t]
rfl
}
instance : Append (DList α) := ⟨DList.append⟩
end DList
end Std
|
225ac78df6e5aed0b0c72b74e2f623521183c03d | 3bd26f8e9c7eeb6ae77ac4ba709b5b3c65b8d7cf | /prim_rec.lean | 52b694870f6a35f7b1cfaf09741cc29560639965 | [] | no_license | koba-e964/lean-work | afac5677efef6905fce29cac44f36f309c3bcd62 | 6ab0506b9bd4e5a2e1ba6312d4ac6bdaf6ae1594 | refs/heads/master | 1,659,773,150,740 | 1,659,289,453,000 | 1,659,289,453,000 | 100,273,655 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 8,152 | lean | import .fin_seq
inductive prim_rec: nat -> Type
| zero: prim_rec 0
| succ: prim_rec 1
| proj: forall {n}, fin n -> prim_rec n
| comp: forall {k m}, prim_rec k -> (fin k -> prim_rec m) -> prim_rec m
| prec: forall {k}, prim_rec k -> prim_rec (k + 2) -> prim_rec (k + 1)
namespace prim_rec
def eval : forall {k}, prim_rec k -> (fin k -> nat) -> nat
| 0 prim_rec.zero _arg := 0
| 1 prim_rec.succ arg := arg 0 + 1
| m (prim_rec.proj idx) arg := arg idx
| m (@prim_rec.comp k .(m) (f: prim_rec k) g) arg
:= eval f (fun i, eval (g i) arg)
| .(_) (@prim_rec.prec k f g) arg :=
let h :=
fun (v: nat) (arg: fin k -> nat),
@nat.rec (fun _, nat) (eval f arg)
(fun (v': nat) (prev: nat), eval g (fin_seq.push prev (fin_seq.push v' arg))) v in
let ⟨x, y⟩ := fin_seq.pop arg in
h x y
def sum_of_fin: forall {n}, fin_seq n nat -> nat
| 0 _ := 0
| (n' + 1) ls := sum_of_fin (fun i, ls (fin.succ i)) + ls 0
def size_of: forall {k}, prim_rec k -> nat
| 0 prim_rec.zero := 1
| 1 prim_rec.succ := 1
| m (prim_rec.proj idx) := 1
| m (@prim_rec.comp k .(m) (f: prim_rec k) g)
:= size_of f + sum_of_fin (λi, size_of (g i)) + 1
| .(_) (@prim_rec.prec k f g) :=
size_of f + size_of g + 1
@[simp] lemma zero.is_zero: eval zero fin_seq.empty = 0 :=
begin
reflexivity,
end
lemma zero.size: size_of zero = 1 := rfl
def const: nat -> prim_rec 0
| 0 := zero
| (k + 1) := comp succ ({const k}: fin_seq _ _)
@[simp] def const.is_const: forall x, eval (const x) fin_seq.empty = x :=
begin
intro x,
induction x with x' ih,
{ reflexivity },
{
simp [eval, const],
rw ih,
},
end
lemma const.size: forall x, size_of (const x) = x * 2 + 1 :=
begin
intro x,
induction x with x' ih,
reflexivity,
simp [size_of, const],
change 1 + sum_of_fin ({size_of (const x')}) + 1 = x'.succ * 2 + 1,
rw ih,
simp [sum_of_fin],
rw nat.zero_add,
rw nat.add_comm 1 _,
rw nat.succ_mul x',
end
@[simp] lemma succ.is_succ: forall x, eval prim_rec.succ ({x}: fin_seq _ _) = x + 1 :=
fun x,
calc
eval prim_rec.succ ({x}: fin_seq _ _) = x + 1 : by unfold eval; reflexivity
lemma succ.size: size_of succ = 1 := rfl
lemma uncurry_1: forall v: nat, fin_seq.pop {v} = ⟨v, fin_seq.empty⟩ :=
fin_seq.pop_1
lemma curry_at_0: forall k v (rest: fin k -> nat), fin_seq.push v rest 0 = v :=
begin
apply fin_seq.push_at_0
end
lemma curry_at_succ: forall k v (rest: fin k -> nat) (i: fin k), fin_seq.push v rest (fin.succ i) = rest i
:=
begin
apply fin_seq.push_at_succ,
end
def id: prim_rec 1 := proj 0
@[simp] lemma id.is_id : forall x, eval id ({x}: fin_seq 1 nat) = x :=
begin
intro x,
reflexivity,
end
lemma id.size: size_of id = 1 := rfl
def pred: prim_rec 1 := prec zero (proj 1)
@[simp] lemma pred.is_pred: forall x, eval pred ({x}: fin_seq _ _) = x - 1 :=
begin
intro x,
cases x with x',
{ reflexivity },
{ reflexivity },
end
lemma pred.size: size_of pred = 3 := rfl
def is_zero: prim_rec 1 := prec (const 1) (comp zero (fun _, proj 0))
@[simp] lemma is_zero.is_is_zero: forall x, eval is_zero ({x}: fin_seq 1 nat) = if x = 0 then 1 else 0 :=
begin
intro x,
cases x with x',
{ reflexivity },
{ reflexivity },
end
@[simp] lemma is_zero.is_is_zero_bulk: forall (xs: fin_seq 1 nat), eval is_zero xs = if xs 0 = 0 then 1 else 0 :=
begin
intro xs,
rw <- fin_seq.length_1_of_singleton xs,
rw is_zero.is_is_zero,
simp,
end
lemma is_zero.size: size_of is_zero = 6 := rfl
-- S(x) + y = S(x + y)
def add: prim_rec 2 := prec id (comp succ ({proj 0}: fin_seq _ _))
-- sub_rev(x, y) = y - x
def sub_rev: prim_rec 2 := prec id (comp pred ({proj 0}: fin_seq _ _))
def sub: prim_rec 2 := comp sub_rev (fin_seq.push (proj 1) {proj 0})
def mul: prim_rec 2 := prec (comp zero (fun _, succ)) (comp add (fin_seq.push (proj 0) {proj 2}))
-- logic
def le: prim_rec 2 := comp is_zero ({sub}: fin_seq _ _)
def ge: prim_rec 2 := comp is_zero ({sub_rev}: fin_seq _ _)
-- and(x, y) = if x != 0 then y else 0
def and: prim_rec 2 := prec (comp zero (fun _, proj 0)) (proj 2)
-- or(x, y) = if x != 0 then x else y
def or: prim_rec 2 := prec id (comp succ ({proj 1}: fin_seq _ _))
def not: prim_rec 1 := is_zero
-- cond(x, y, z) = if x != 0 then y else z
def cond: prim_rec 3 := prec (proj 1) (proj 2)
-- def eq: prim_rec 2 := comp and (fin_seq.push le {ge})
def eq: prim_rec 2 := comp is_zero ({comp add (fin_seq.push sub {sub_rev})}: fin_seq _ _)
@[simp] lemma add.is_add: forall x y, eval add (fin_seq.push x {y}) = x + y :=
begin
intro x,
induction x with x' ih,
{
intro y,
rw nat.add_comm,
rw nat.add_zero,
simp [add, eval],
reflexivity,
},
{
intro y,
change add.eval (fin_seq.push x' {y}) + 1 = x'.succ + y,
rw ih,
rw nat.add_comm x'.succ y,
rw nat.add_succ y x',
rw nat.add_comm y x',
},
end
@[simp] lemma add.is_add_bulk: forall xy, eval add xy = xy 0 + xy 1 :=
begin
intro xy,
rw <- fin_seq.length_2_of_insert_of_singleton xy,
apply add.is_add,
end
lemma add.size: size_of add = 5 := rfl
@[simp] lemma sub_rev.is_sub_rev: forall x y, eval sub_rev (fin_seq.push x {y}) = y - x :=
begin
intro x,
induction x with x' ih,
{
intro y,
simp [sub_rev, eval],
reflexivity,
},
{
intro y,
change pred.eval ({sub_rev.eval (fin_seq.push x' {y})}: fin_seq _ _) = y - x'.succ,
simp,
rw ih,
reflexivity,
},
end
lemma sub_rev.size: size_of sub_rev = 7 := rfl
@[simp] lemma sub_rev.is_sub_rev_bulk: forall xy, eval sub_rev xy = xy 1 - xy 0 :=
begin
intro xy,
rw <- fin_seq.length_2_of_insert_of_singleton xy,
apply sub_rev.is_sub_rev,
end
@[simp] lemma sub.is_sub: forall x y, eval sub (fin_seq.push x {y}) = x - y :=
begin
simp only [eval, sub],
simp [sub_rev.is_sub_rev_bulk, eval],
intros x y,
reflexivity,
end
lemma sub.size: size_of sub = 10 := rfl
@[simp] lemma mul.is_mul: forall x y, eval mul (fin_seq.push x {y}) = x * y :=
begin
intro x,
induction x with x' ih; intro y,
{
change 0 = 0 * y,
rw nat.zero_mul,
},
{
simp only [mul, eval],
change add.eval (fin_seq.push (mul.eval (fin_seq.push x' {y})) ({y}: fin_seq _ _)) = x'.succ * y,
rw ih,
rw add.is_add,
rw nat.succ_mul,
},
end
lemma mul.size: size_of sub = 10 := rfl
@[simp] lemma le.is_le: forall x y, eval le (fin_seq.push x {y}) = if x <= y then 1 else 0 :=
begin
simp [le, eval],
intros x y,
apply if_congr,
rw @nat.sub_eq_zero_iff_le x y,
simp,
end
lemma le.size: size_of le = 17 := rfl
@[simp] lemma ge.is_ge: forall x y, eval ge (fin_seq.push x {y}) = if x >= y then 1 else 0 :=
begin
simp [ge, eval],
intros x y,
apply if_congr,
change y - x = 0 <-> x >= y,
rw nat.sub_eq_zero_iff_le,
simp,
end
lemma ge.size: size_of ge = 14 := rfl
@[simp] lemma and.is_and: forall x y, eval and (fin_seq.push x {y}) = if x ≠ 0 then y else 0 :=
begin
intros x y,
cases x with x'; reflexivity,
end
lemma and.size: size_of and = 4 := rfl
@[simp] lemma or.is_or: forall x y, eval or (fin_seq.push x {y}) = if x ≠ 0 then x else y :=
begin
intros x y,
cases x with x'; reflexivity,
end
lemma or.size: size_of or = 5 := rfl
@[simp] lemma not.is_not: forall x, eval not ({x}: fin_seq _ _) = if x ≠ 0 then 0 else 1 :=
begin
intros x,
cases x with x'; reflexivity,
end
lemma not.size: size_of not = 6 := rfl
@[simp] lemma cond.is_cond: forall (x y z: nat), eval cond (fin_seq.push x (fin_seq.push y ({z}: fin_seq 1 nat))) = if x ≠ 0 then y else z :=
begin
intros x y z,
cases x with x'; reflexivity,
end
lemma cond.size: size_of cond = 3 := rfl
@[simp] lemma eq.is_eq: forall x y, eval eq (fin_seq.push x {y}) = if x = y then 1 else 0 :=
begin
intros x y,
simp [eval, eq],
apply if_congr,
change (x - y) + eval sub_rev (fin_seq.push x {y}) = 0 <-> x = y,
rw sub_rev.is_sub_rev,
change (x - y) + (y - x) = 0 <-> x = y,
split,
{
intro h,
have := nat.eq_zero_of_add_eq_zero h,
cases this with h1 h2,
apply nat.le_antisymm,
apply nat.le_of_sub_eq_zero h1,
apply nat.le_of_sub_eq_zero h2,
},
{
intro h,
cases h,
rw nat.sub_self,
},
simp,
end
lemma eq.size: size_of eq = 30 := rfl
end prim_rec
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