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788d33a1a9dbc2e9d8126022261408fb66d100f7 | e9dbaaae490bc072444e3021634bf73664003760 | /src/Problems/2008/IMO_2008_P1.lean | 25092b15d9d1e9908380f7b1146242d90a73f8a7 | [
"Apache-2.0"
] | permissive | liaofei1128/geometry | 566d8bfe095ce0c0113d36df90635306c60e975b | 3dd128e4eec8008764bb94e18b932f9ffd66e6b3 | refs/heads/master | 1,678,996,510,399 | 1,581,454,543,000 | 1,583,337,839,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 494 | lean | import Geo.Geo.Core
namespace Geo
open Triangle
def IMO_2008_P1 : Prop :=
∀ (A B C : Point),
acute ⟨A, B, C⟩ →
let H := orthocenter ⟨A, B, C⟩;
∀ (A₁ A₂ B₁ B₂ C₁ C₂ : Point),
intersectAt₂ (Circle.buildOP (Seg.mk B C).midp H) (Line.mk B C) A₁ A₂ →
intersectAt₂ (Circle.buildOP (Seg.mk C A).midp H) (Line.mk C A) B₁ B₂ →
intersectAt₂ (Circle.buildOP (Seg.mk A B).midp H) (Line.mk A B) C₁ C₂ →
cycl [A₁, A₂, B₁, B₂, C₁, C₂]
end Geo
|
7098d508ef17b55e8c824b392c57697100cb94cf | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/analysis/bounded_variation.lean | 3deb1eb619731a5f4f6ff74ff37372e095bcf40a | [
"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 | 34,131 | lean | /-
Copyright (c) 2022 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import measure_theory.measure.lebesgue
import analysis.calculus.monotone
/-!
# Functions of bounded variation
We study functions of bounded variation. In particular, we show that a bounded variation function
is a difference of monotone functions, and differentiable almost everywhere. This implies that
Lipschitz functions from the real line into finite-dimensional vector space are also differentiable
almost everywhere.
## Main definitions and results
* `evariation_on f s` is the total variation of the function `f` on the set `s`, in `ℝ≥0∞`.
* `has_bounded_variation_on f s` registers that the variation of `f` on `s` is finite.
* `has_locally_bounded_variation f s` registers that `f` has finite variation on any compact
subinterval of `s`.
* `evariation_on.Icc_add_Icc` states that the variation of `f` on `[a, c]` is the sum of its
variations on `[a, b]` and `[b, c]`.
* `has_locally_bounded_variation_on.exists_monotone_on_sub_monotone_on` proves that a function
with locally bounded variation is the difference of two monotone functions.
* `lipschitz_with.has_locally_bounded_variation_on` shows that a Lipschitz function has locally
bounded variation.
* `has_locally_bounded_variation_on.ae_differentiable_within_at` shows that a bounded variation
function into a finite dimensional real vector space is differentiable almost everywhere.
* `lipschitz_on_with.ae_differentiable_within_at` is the same result for Lipschitz functions.
We also give several variations around these results.
## Implementation
We define the variation as an extended nonnegative real, to allow for infinite variation. This makes
it possible to use the complete linear order structure of `ℝ≥0∞`. The proofs would be much
more tedious with an `ℝ`-valued or `ℝ≥0`-valued variation, since one would always need to check
that the sets one uses are nonempty and bounded above as these are only conditionally complete.
-/
open_locale big_operators nnreal ennreal
open set measure_theory
variables {α : Type*} [linear_order α]
{E F : Type*} [pseudo_emetric_space E] [pseudo_emetric_space F]
{V : Type*} [normed_add_comm_group V] [normed_space ℝ V] [finite_dimensional ℝ V]
/-- The (extended real valued) variation of a function `f` on a set `s` inside a linear order is
the supremum of the sum of `edist (f (u (i+1))) (f (u i))` over all finite increasing
sequences `u` in `s`. -/
noncomputable def evariation_on (f : α → E) (s : set α) : ℝ≥0∞ :=
⨆ (p : ℕ × {u : ℕ → α // monotone u ∧ ∀ i, u i ∈ s}),
∑ i in finset.range p.1, edist (f ((p.2 : ℕ → α) (i+1))) (f ((p.2 : ℕ → α) i))
/-- A function has bounded variation on a set `s` if its total variation there is finite. -/
def has_bounded_variation_on (f : α → E) (s : set α) :=
evariation_on f s ≠ ∞
/-- A function has locally bounded variation on a set `s` if, given any interval `[a, b]` with
endpoints in `s`, then the function has finite variation on `s ∩ [a, b]`. -/
def has_locally_bounded_variation_on (f : α → E) (s : set α) :=
∀ a b, a ∈ s → b ∈ s → has_bounded_variation_on f (s ∩ Icc a b)
/-! ## Basic computations of variation -/
namespace evariation_on
lemma nonempty_monotone_mem {s : set α} (hs : s.nonempty) :
nonempty {u // monotone u ∧ ∀ (i : ℕ), u i ∈ s} :=
begin
obtain ⟨x, hx⟩ := hs,
exact ⟨⟨λ i, x, λ i j hij, le_rfl, λ i, hx⟩⟩,
end
lemma sum_le
(f : α → E) {s : set α} (n : ℕ) {u : ℕ → α} (hu : monotone u) (us : ∀ i, u i ∈ s) :
∑ i in finset.range n, edist (f (u (i+1))) (f (u i)) ≤ evariation_on f s :=
begin
let p : ℕ × {u : ℕ → α // monotone u ∧ ∀ i, u i ∈ s} := (n, ⟨u, hu, us⟩),
change ∑ i in finset.range p.1, edist (f ((p.2 : ℕ → α) (i+1))) (f ((p.2 : ℕ → α) i))
≤ evariation_on f s,
exact le_supr (λ (p : ℕ × {u : ℕ → α // monotone u ∧ ∀ i, u i ∈ s}),
∑ i in finset.range p.1, edist (f ((p.2 : ℕ → α) (i+1))) (f ((p.2 : ℕ → α) i))) _,
end
lemma sum_le_of_monotone_on_Iic
(f : α → E) {s : set α} {n : ℕ} {u : ℕ → α} (hu : monotone_on u (Iic n))
(us : ∀ i ≤ n, u i ∈ s) :
∑ i in finset.range n, edist (f (u (i+1))) (f (u i)) ≤ evariation_on f s :=
begin
let v := λ i, if i ≤ n then u i else u n,
have vs : ∀ i, v i ∈ s,
{ assume i,
simp only [v],
split_ifs,
{ exact us i h },
{ exact us n le_rfl } },
have hv : monotone v,
{ apply monotone_nat_of_le_succ (λ i, _),
simp only [v],
rcases lt_trichotomy i n with hi|rfl|hi,
{ have : i + 1 ≤ n, by linarith,
simp only [hi.le, this, if_true],
exact hu hi.le this (nat.le_succ i) },
{ simp only [le_refl, if_true, add_le_iff_nonpos_right, le_zero_iff, nat.one_ne_zero,
if_false] },
{ have A : ¬(i ≤ n), by linarith,
have B : ¬(i + 1 ≤ n), by linarith,
simp [A, B] } },
convert sum_le f n hv vs using 1,
apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_range] at hi,
have : i + 1 ≤ n, by linarith,
simp only [v],
simp [this, hi.le],
end
lemma sum_le_of_monotone_on_Icc
(f : α → E) {s : set α} {m n : ℕ} {u : ℕ → α} (hu : monotone_on u (Icc m n))
(us : ∀ i ∈ Icc m n, u i ∈ s) :
∑ i in finset.Ico m n, edist (f (u (i+1))) (f (u i)) ≤ evariation_on f s :=
begin
rcases le_or_lt n m with hnm|hmn,
{ simp only [finset.Ico_eq_empty_of_le hnm, finset.sum_empty, zero_le'] },
let v := λ i, u (m + i),
have hv : monotone_on v (Iic (n - m)),
{ assume a ha b hb hab,
simp only [le_tsub_iff_left hmn.le, mem_Iic] at ha hb,
exact hu ⟨le_add_right le_rfl, ha⟩ ⟨le_add_right le_rfl, hb⟩ (add_le_add le_rfl hab) },
have vs : ∀ i ∈ Iic (n - m), v i ∈ s,
{ assume i hi,
simp only [le_tsub_iff_left hmn.le, mem_Iic] at hi,
exact us _ ⟨le_add_right le_rfl, hi⟩ },
calc ∑ i in finset.Ico m n, edist (f (u (i + 1))) (f (u i))
= ∑ i in finset.range (n - m), edist (f (u (m + i + 1))) (f (u (m + i))) :
begin
rw [finset.range_eq_Ico],
convert (finset.sum_Ico_add (λ i, edist (f (u (i + 1))) (f (u i))) 0 (n - m) m).symm,
{ rw [zero_add] },
{ rw tsub_add_cancel_of_le hmn.le }
end
... = ∑ i in finset.range (n - m), edist (f (v (i + 1))) (f (v i)) :
begin
apply finset.sum_congr rfl (λ i hi, _),
simp only [v, add_assoc],
end
... ≤ evariation_on f s : sum_le_of_monotone_on_Iic f hv vs,
end
lemma mono (f : α → E) {s t : set α} (hst : t ⊆ s) :
evariation_on f t ≤ evariation_on f s :=
begin
apply supr_le _,
rintros ⟨n, ⟨u, hu, ut⟩⟩,
exact sum_le f n hu (λ i, hst (ut i)),
end
lemma _root_.has_bounded_variation_on.mono {f : α → E} {s : set α}
(h : has_bounded_variation_on f s) {t : set α} (ht : t ⊆ s) :
has_bounded_variation_on f t :=
(lt_of_le_of_lt (evariation_on.mono f ht) (lt_top_iff_ne_top.2 h)).ne
lemma _root_.has_bounded_variation_on.has_locally_bounded_variation_on {f : α → E} {s : set α}
(h : has_bounded_variation_on f s) : has_locally_bounded_variation_on f s :=
λ x y hx hy, h.mono (inter_subset_left _ _)
@[simp] protected lemma subsingleton (f : α → E) {s : set α} (hs : s.subsingleton) :
evariation_on f s = 0 :=
begin
apply le_antisymm _ (zero_le _),
apply supr_le _,
rintros ⟨n, ⟨u, hu, ut⟩⟩,
have : ∀ i, u i = u 0, from λ i, hs (ut _) (ut _),
simp [subtype.coe_mk, le_zero_iff, finset.sum_eq_zero_iff, finset.mem_range, this],
end
lemma edist_le (f : α → E) {s : set α} {x y : α} (hx : x ∈ s) (hy : y ∈ s) :
edist (f x) (f y) ≤ evariation_on f s :=
begin
wlog hxy : x ≤ y := le_total x y using [x y, y x] tactic.skip, swap,
{ assume hx hy,
rw edist_comm,
exact this hy hx },
let u : ℕ → α := λ n, if n = 0 then x else y,
have hu : monotone u,
{ assume m n hmn,
dsimp only [u],
split_ifs,
exacts [le_rfl, hxy, by linarith [pos_iff_ne_zero.2 h], le_rfl] },
have us : ∀ i, u i ∈ s,
{ assume i,
dsimp only [u],
split_ifs,
exacts [hx, hy] },
convert sum_le f 1 hu us,
simp [u, edist_comm],
end
lemma _root_.has_bounded_variation_on.dist_le {E : Type*} [pseudo_metric_space E]
{f : α → E} {s : set α} (h : has_bounded_variation_on f s) {x y : α} (hx : x ∈ s) (hy : y ∈ s) :
dist (f x) (f y) ≤ (evariation_on f s).to_real :=
begin
rw [← ennreal.of_real_le_of_real_iff ennreal.to_real_nonneg, ennreal.of_real_to_real h,
← edist_dist],
exact edist_le f hx hy
end
lemma _root_.has_bounded_variation_on.sub_le
{f : α → ℝ} {s : set α} (h : has_bounded_variation_on f s) {x y : α} (hx : x ∈ s) (hy : y ∈ s) :
f x - f y ≤ (evariation_on f s).to_real :=
begin
apply (le_abs_self _).trans,
rw ← real.dist_eq,
exact h.dist_le hx hy
end
/-- Consider a monotone function `u` parameterizing some points of a set `s`. Given `x ∈ s`, then
one can find another monotone function `v` parameterizing the same points as `u`, with `x` added.
In particular, the variation of a function along `u` is bounded by its variation along `v`. -/
lemma add_point (f : α → E) {s : set α} {x : α} (hx : x ∈ s)
(u : ℕ → α) (hu : monotone u) (us : ∀ i, u i ∈ s) (n : ℕ) :
∃ (v : ℕ → α) (m : ℕ), monotone v ∧ (∀ i, v i ∈ s) ∧ x ∈ v '' (Iio m) ∧
∑ i in finset.range n, edist (f (u (i+1))) (f (u i)) ≤
∑ j in finset.range m, edist (f (v (j+1))) (f (v j)) :=
begin
rcases le_or_lt (u n) x with h|h,
{ let v := λ i, if i ≤ n then u i else x,
have vs : ∀ i, v i ∈ s,
{ assume i,
simp only [v],
split_ifs,
{ exact us i },
{ exact hx } },
have hv : monotone v,
{ apply monotone_nat_of_le_succ (λ i, _),
simp only [v],
rcases lt_trichotomy i n with hi|rfl|hi,
{ have : i + 1 ≤ n, by linarith,
simp only [hi.le, this, if_true],
exact hu (nat.le_succ i) },
{ simp only [le_refl, if_true, add_le_iff_nonpos_right, le_zero_iff, nat.one_ne_zero,
if_false, h], },
{ have A : ¬(i ≤ n), by linarith,
have B : ¬(i + 1 ≤ n), by linarith,
simp only [A, B, if_false]} },
refine ⟨v, n+2, hv, vs, (mem_image _ _ _).2 ⟨n+1, _, _⟩, _⟩,
{ rw mem_Iio, exact nat.lt_succ_self (n+1) },
{ have : ¬(n + 1 ≤ n), by linarith,
simp only [this, ite_eq_right_iff, is_empty.forall_iff] },
{ calc
∑ i in finset.range n, edist (f (u (i+1))) (f (u i))
= ∑ i in finset.range n, edist (f (v (i+1))) (f (v i)) :
begin
apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_range] at hi,
have : i + 1 ≤ n, by linarith,
dsimp only [v],
simp only [hi.le, this, if_true],
end
... ≤ ∑ j in finset.range (n + 2), edist (f (v (j+1))) (f (v j)) :
finset.sum_le_sum_of_subset (finset.range_mono (by linarith)) } },
have exists_N : ∃ N, N ≤ n ∧ x < u N, from ⟨n, le_rfl, h⟩,
let N := nat.find exists_N,
have hN : N ≤ n ∧ x < u N := nat.find_spec exists_N,
let w : ℕ → α := λ i, if i < N then u i else if i = N then x else u (i - 1),
have ws : ∀ i, w i ∈ s,
{ dsimp only [w],
assume i,
split_ifs,
exacts [us _, hx, us _] },
have hw : monotone w,
{ apply monotone_nat_of_le_succ (λ i, _),
dsimp only [w],
rcases lt_trichotomy (i + 1) N with hi|hi|hi,
{ have : i < N, by linarith,
simp only [hi, this, if_true],
exact hu (nat.le_succ _) },
{ have A : i < N, by linarith,
have B : ¬(i + 1 < N), by linarith,
rw [if_pos A, if_neg B, if_pos hi],
have T := nat.find_min exists_N A,
push_neg at T,
exact T (A.le.trans hN.1) },
{ have A : ¬(i < N), by linarith,
have B : ¬(i + 1 < N), by linarith,
have C : ¬(i + 1 = N), by linarith,
have D : i + 1 - 1 = i := nat.pred_succ i,
rw [if_neg A, if_neg B, if_neg C, D],
split_ifs,
{ exact hN.2.le.trans (hu (by linarith)) },
{ exact hu (nat.pred_le _) } } },
refine ⟨w, n+1, hw, ws, (mem_image _ _ _).2 ⟨N, hN.1.trans_lt (nat.lt_succ_self n), _⟩, _⟩,
{ dsimp only [w], rw [if_neg (lt_irrefl N), if_pos rfl] },
rcases eq_or_lt_of_le (zero_le N) with Npos|Npos,
{ calc ∑ i in finset.range n, edist (f (u (i + 1))) (f (u i))
= ∑ i in finset.range n, edist (f (w (1 + i + 1))) (f (w (1 + i))) :
begin
apply finset.sum_congr rfl (λ i hi, _),
dsimp only [w],
simp only [← Npos, nat.not_lt_zero, nat.add_succ_sub_one, add_zero, if_false,
add_eq_zero_iff, nat.one_ne_zero, false_and, nat.succ_add_sub_one, zero_add],
rw add_comm 1 i,
end
... = ∑ i in finset.Ico 1 (n + 1), edist (f (w (i + 1))) (f (w i)) :
begin
rw finset.range_eq_Ico,
exact finset.sum_Ico_add (λ i, edist (f (w (i + 1))) (f (w i))) 0 n 1,
end
... ≤ ∑ j in finset.range (n + 1), edist (f (w (j + 1))) (f (w j)) :
begin
apply finset.sum_le_sum_of_subset _,
rw finset.range_eq_Ico,
exact finset.Ico_subset_Ico zero_le_one le_rfl,
end },
{ calc ∑ i in finset.range n, edist (f (u (i + 1))) (f (u i))
= ∑ i in finset.Ico 0 (N-1), edist (f (u (i + 1))) (f (u i)) +
∑ i in finset.Ico (N-1) N, edist (f (u (i + 1))) (f (u i)) +
∑ i in finset.Ico N n, edist (f (u (i + 1))) (f (u i)) :
begin
rw [finset.sum_Ico_consecutive, finset.sum_Ico_consecutive, finset.range_eq_Ico],
{ exact zero_le _ },
{ exact hN.1 },
{ exact zero_le _},
{ exact nat.pred_le _ }
end
... = ∑ i in finset.Ico 0 (N-1), edist (f (w (i + 1))) (f (w i)) +
edist (f (u N)) (f (u (N - 1))) +
∑ i in finset.Ico N n, edist (f (w (1 + i + 1))) (f (w (1 + i))) :
begin
congr' 1, congr' 1,
{ apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_Ico, zero_le', true_and] at hi,
dsimp only [w],
have A : i + 1 < N, from nat.lt_pred_iff.1 hi,
have B : i < N, by linarith,
rw [if_pos A, if_pos B] },
{ have A : N - 1 + 1 = N, from nat.succ_pred_eq_of_pos Npos,
have : finset.Ico (N - 1) N = {N - 1}, by rw [← nat.Ico_succ_singleton, A],
simp only [this, A, finset.sum_singleton] },
{ apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_Ico] at hi,
dsimp only [w],
have A : ¬(1 + i + 1 < N), by linarith,
have B : ¬(1 + i + 1 = N), by linarith,
have C : ¬(1 + i < N), by linarith,
have D : ¬(1 + i = N), by linarith,
rw [if_neg A, if_neg B, if_neg C, if_neg D],
congr' 3;
{ rw eq_tsub_iff_add_eq_of_le, { abel }, { linarith } } }
end
... = ∑ i in finset.Ico 0 (N-1), edist (f (w (i + 1))) (f (w i)) +
edist (f (w (N + 1))) (f (w (N - 1))) +
∑ i in finset.Ico (N + 1) (n + 1), edist (f (w (i + 1))) (f (w (i))) :
begin
congr' 1, congr' 1,
{ dsimp only [w],
have A : ¬(N + 1 < N), by linarith,
have B : N - 1 < N := nat.pred_lt Npos.ne',
simp only [A, not_and, not_lt, nat.succ_ne_self, nat.add_succ_sub_one, add_zero, if_false,
B, if_true] },
{ exact finset.sum_Ico_add (λ i, edist (f (w (i + 1))) (f (w i))) N n 1 }
end
... ≤ ∑ i in finset.Ico 0 (N - 1), edist (f (w (i + 1))) (f (w i)) +
∑ i in finset.Ico (N - 1) (N + 1), edist (f (w (i + 1))) (f (w i)) +
∑ i in finset.Ico (N + 1) (n + 1), edist (f (w (i + 1))) (f (w i)) :
begin
refine add_le_add (add_le_add le_rfl _) le_rfl,
have A : N - 1 + 1 = N, from nat.succ_pred_eq_of_pos Npos,
have B : N - 1 + 1 < N + 1, by linarith,
have C : N - 1 < N + 1, by linarith,
rw [finset.sum_eq_sum_Ico_succ_bot C, finset.sum_eq_sum_Ico_succ_bot B, A, finset.Ico_self,
finset.sum_empty, add_zero, add_comm (edist _ _)],
exact edist_triangle _ _ _,
end
... = ∑ j in finset.range (n + 1), edist (f (w (j + 1))) (f (w j)) :
begin
rw [finset.sum_Ico_consecutive, finset.sum_Ico_consecutive, finset.range_eq_Ico],
{ exact zero_le _ },
{ linarith },
{ exact zero_le _ },
{ linarith }
end }
end
/-- The variation of a function on the union of two sets `s` and `t`, with `s` to the left of `t`,
bounds the sum of the variations along `s` and `t`. -/
lemma add_le_union (f : α → E) {s t : set α} (h : ∀ x ∈ s, ∀ y ∈ t, x ≤ y) :
evariation_on f s + evariation_on f t ≤ evariation_on f (s ∪ t) :=
begin
by_cases hs : s = ∅,
{ simp [hs] },
haveI : nonempty {u // monotone u ∧ ∀ (i : ℕ), u i ∈ s},
from nonempty_monotone_mem (ne_empty_iff_nonempty.1 hs),
by_cases ht : t = ∅,
{ simp [ht] },
haveI : nonempty {u // monotone u ∧ ∀ (i : ℕ), u i ∈ t},
from nonempty_monotone_mem (ne_empty_iff_nonempty.1 ht),
refine ennreal.supr_add_supr_le _,
/- We start from two sequences `u` and `v` along `s` and `t` respectively, and we build a new
sequence `w` along `s ∪ t` by juxtaposing them. Its variation is larger than the sum of the
variations. -/
rintros ⟨n, ⟨u, hu, us⟩⟩ ⟨m, ⟨v, hv, vt⟩⟩,
let w := λ i, if i ≤ n then u i else v (i - (n+1)),
have wst : ∀ i, w i ∈ s ∪ t,
{ assume i,
by_cases hi : i ≤ n,
{ simp [w, hi, us] },
{ simp [w, hi, vt] } },
have hw : monotone w,
{ assume i j hij,
dsimp only [w],
split_ifs,
{ exact hu hij },
{ apply h _ (us _) _ (vt _) },
{ linarith },
{ apply hv (tsub_le_tsub hij le_rfl) } },
calc ∑ i in finset.range n, edist (f (u (i + 1))) (f (u i))
+ ∑ (i : ℕ) in finset.range m, edist (f (v (i + 1))) (f (v i))
= ∑ i in finset.range n, edist (f (w (i + 1))) (f (w i))
+ ∑ (i : ℕ) in finset.range m, edist (f (w ((n+1) + i + 1))) (f (w ((n+1) + i))) :
begin
dsimp only [w],
congr' 1,
{ apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_range] at hi,
have : i + 1 ≤ n, by linarith,
simp [hi.le, this] },
{ apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_range] at hi,
have A : ¬(n + 1 + i + 1 ≤ n), by linarith,
have B : ¬(n + 1 + i ≤ n), by linarith,
have C : n + 1 + i - n = i + 1,
{ rw tsub_eq_iff_eq_add_of_le,
{ abel },
{ linarith } },
simp only [A, B, C, nat.succ_sub_succ_eq_sub, if_false, add_tsub_cancel_left] }
end
... = ∑ i in finset.range n, edist (f (w (i + 1))) (f (w i))
+ ∑ (i : ℕ) in finset.Ico (n+1) ((n+1)+m), edist (f (w (i + 1))) (f (w i)) :
begin
congr' 1,
rw finset.range_eq_Ico,
convert finset.sum_Ico_add (λ (i : ℕ), edist (f (w (i + 1))) (f (w i))) 0 m (n+1) using 3;
abel,
end
... ≤ ∑ i in finset.range ((n+1) + m), edist (f (w (i + 1))) (f (w i)) :
begin
rw ← finset.sum_union,
{ apply finset.sum_le_sum_of_subset _,
rintros i hi,
simp only [finset.mem_union, finset.mem_range, finset.mem_Ico] at hi ⊢,
cases hi,
{ linarith },
{ exact hi.2 } },
{ apply finset.disjoint_left.2 (λ i hi h'i, _),
simp only [finset.mem_Ico, finset.mem_range] at hi h'i,
linarith [h'i.1] }
end
... ≤ evariation_on f (s ∪ t) : sum_le f _ hw wst
end
/-- If a set `s` is to the left of a set `t`, and both contain the boundary point `x`, then
the variation of `f` along `s ∪ t` is the sum of the variations. -/
lemma union (f : α → E) {s t : set α} {x : α} (hs : is_greatest s x) (ht : is_least t x) :
evariation_on f (s ∪ t) = evariation_on f s + evariation_on f t :=
begin
classical,
apply le_antisymm _ (evariation_on.add_le_union f (λ a ha b hb, le_trans (hs.2 ha) (ht.2 hb))),
apply supr_le _,
rintros ⟨n, ⟨u, hu, ust⟩⟩,
obtain ⟨v, m, hv, vst, xv, huv⟩ : ∃ (v : ℕ → α) (m : ℕ), monotone v ∧ (∀ i, v i ∈ s ∪ t) ∧
x ∈ v '' (Iio m) ∧ ∑ i in finset.range n, edist (f (u (i+1))) (f (u i)) ≤
∑ j in finset.range m, edist (f (v (j+1))) (f (v j)),
from evariation_on.add_point f (mem_union_left t hs.1) u hu ust n,
obtain ⟨N, hN, Nx⟩ : ∃ N, N < m ∧ v N = x, from xv,
calc ∑ j in finset.range n, edist (f (u (j + 1))) (f (u j))
≤ ∑ j in finset.range m, edist (f (v (j + 1))) (f (v j)) : huv
... = ∑ j in finset.Ico 0 N , edist (f (v (j + 1))) (f (v j))
+ ∑ j in finset.Ico N m , edist (f (v (j + 1))) (f (v j)) :
by rw [finset.range_eq_Ico, finset.sum_Ico_consecutive _ (zero_le _) hN.le]
... ≤ evariation_on f s + evariation_on f t :
begin
refine add_le_add _ _,
{ apply sum_le_of_monotone_on_Icc _ (hv.monotone_on _) (λ i hi, _),
rcases vst i with h|h, { exact h },
have : v i = x,
{ apply le_antisymm,
{ rw ← Nx, exact hv hi.2 },
{ exact ht.2 h } },
rw this,
exact hs.1 },
{ apply sum_le_of_monotone_on_Icc _ (hv.monotone_on _) (λ i hi, _),
rcases vst i with h|h, swap, { exact h },
have : v i = x,
{ apply le_antisymm,
{ exact hs.2 h },
{ rw ← Nx, exact hv hi.1 } },
rw this,
exact ht.1 }
end
end
lemma Icc_add_Icc (f : α → E) {s : set α} {a b c : α}
(hab : a ≤ b) (hbc : b ≤ c) (hb : b ∈ s) :
evariation_on f (s ∩ Icc a b) + evariation_on f (s ∩ Icc b c) = evariation_on f (s ∩ Icc a c) :=
begin
have A : is_greatest (s ∩ Icc a b) b :=
⟨⟨hb, hab, le_rfl⟩, (inter_subset_right _ _).trans (Icc_subset_Iic_self)⟩,
have B : is_least (s ∩ Icc b c) b :=
⟨⟨hb, le_rfl, hbc⟩, (inter_subset_right _ _).trans (Icc_subset_Ici_self)⟩,
rw [← evariation_on.union f A B, ← inter_union_distrib_left, Icc_union_Icc_eq_Icc hab hbc],
end
end evariation_on
/-! ## Monotone functions and bounded variation -/
lemma monotone_on.evariation_on_le {f : α → ℝ} {s : set α} (hf : monotone_on f s) {a b : α}
(as : a ∈ s) (bs : b ∈ s) :
evariation_on f (s ∩ Icc a b) ≤ ennreal.of_real (f b - f a) :=
begin
apply supr_le _,
rintros ⟨n, ⟨u, hu, us⟩⟩,
calc
∑ i in finset.range n, edist (f (u (i+1))) (f (u i))
= ∑ i in finset.range n, ennreal.of_real (f (u (i + 1)) - f (u i)) :
begin
apply finset.sum_congr rfl (λ i hi, _),
simp only [finset.mem_range] at hi,
rw [edist_dist, real.dist_eq, abs_of_nonneg],
exact sub_nonneg_of_le (hf (us i).1 (us (i+1)).1 (hu (nat.le_succ _))),
end
... = ennreal.of_real (∑ i in finset.range n, (f (u (i + 1)) - f (u i))) :
begin
rw [ennreal.of_real_sum_of_nonneg],
assume i hi,
exact sub_nonneg_of_le (hf (us i).1 (us (i+1)).1 (hu (nat.le_succ _)))
end
... = ennreal.of_real (f (u n) - f (u 0)) : by rw finset.sum_range_sub (λ i, f (u i))
... ≤ ennreal.of_real (f b - f a) :
begin
apply ennreal.of_real_le_of_real,
exact sub_le_sub (hf (us n).1 bs (us n).2.2) (hf as (us 0).1 (us 0).2.1),
end
end
lemma monotone_on.has_locally_bounded_variation_on {f : α → ℝ} {s : set α} (hf : monotone_on f s) :
has_locally_bounded_variation_on f s :=
λ a b as bs, ((hf.evariation_on_le as bs).trans_lt ennreal.of_real_lt_top).ne
/-- If a real valued function has bounded variation on a set, then it is a difference of monotone
functions there. -/
lemma has_locally_bounded_variation_on.exists_monotone_on_sub_monotone_on {f : α → ℝ} {s : set α}
(h : has_locally_bounded_variation_on f s) :
∃ (p q : α → ℝ), monotone_on p s ∧ monotone_on q s ∧ f = p - q :=
begin
rcases eq_empty_or_nonempty s with rfl|hs,
{ exact ⟨f, 0, subsingleton_empty.monotone_on _, subsingleton_empty.monotone_on _,
by simp only [tsub_zero]⟩ },
rcases hs with ⟨c, cs⟩,
let p := λ x, if c ≤ x then (evariation_on f (s ∩ Icc c x)).to_real
else -(evariation_on f (s ∩ Icc x c)).to_real,
have hp : monotone_on p s,
{ assume x xs y ys hxy,
dsimp only [p],
split_ifs with hcx hcy hcy,
{ have : evariation_on f (s ∩ Icc c x) + evariation_on f (s ∩ Icc x y)
= evariation_on f (s ∩ Icc c y), from evariation_on.Icc_add_Icc f hcx hxy xs,
rw [← this, ennreal.to_real_add (h c x cs xs) (h x y xs ys)],
exact le_add_of_le_of_nonneg le_rfl ennreal.to_real_nonneg },
{ exact (lt_irrefl _ ((not_le.1 hcy).trans_le (hcx.trans hxy))).elim },
{ exact (neg_nonpos.2 ennreal.to_real_nonneg).trans ennreal.to_real_nonneg },
{ simp only [neg_le_neg_iff],
have : evariation_on f (s ∩ Icc x y) + evariation_on f (s ∩ Icc y c)
= evariation_on f (s ∩ Icc x c), from evariation_on.Icc_add_Icc f hxy (not_le.1 hcy).le ys,
rw [← this, ennreal.to_real_add (h x y xs ys) (h y c ys cs), add_comm],
exact le_add_of_le_of_nonneg le_rfl ennreal.to_real_nonneg } },
have hq : monotone_on (λ x, p x - f x) s,
{ assume x xs y ys hxy,
dsimp only [p],
split_ifs with hcx hcy hcy,
{ have : evariation_on f (s ∩ Icc c x) + evariation_on f (s ∩ Icc x y)
= evariation_on f (s ∩ Icc c y), from evariation_on.Icc_add_Icc f hcx hxy xs,
rw [← this, ennreal.to_real_add (h c x cs xs) (h x y xs ys)],
suffices : f y - f x ≤ (evariation_on f (s ∩ Icc x y)).to_real, by linarith,
exact (h x y xs ys).sub_le ⟨ys, hxy, le_rfl⟩ ⟨xs, le_rfl, hxy⟩ },
{ exact (lt_irrefl _ ((not_le.1 hcy).trans_le (hcx.trans hxy))).elim },
{ suffices : f y - f x ≤ (evariation_on f (s ∩ Icc x c)).to_real
+ (evariation_on f (s ∩ Icc c y)).to_real, by linarith,
rw [← ennreal.to_real_add (h x c xs cs) (h c y cs ys),
evariation_on.Icc_add_Icc f (not_le.1 hcx).le hcy cs],
exact (h x y xs ys).sub_le ⟨ys, hxy, le_rfl⟩ ⟨xs, le_rfl, hxy⟩ },
{ have : evariation_on f (s ∩ Icc x y) + evariation_on f (s ∩ Icc y c)
= evariation_on f (s ∩ Icc x c), from evariation_on.Icc_add_Icc f hxy (not_le.1 hcy).le ys,
rw [← this, ennreal.to_real_add (h x y xs ys) (h y c ys cs)],
suffices : f y - f x ≤ (evariation_on f (s ∩ Icc x y)).to_real, by linarith,
exact (h x y xs ys).sub_le ⟨ys, hxy, le_rfl⟩ ⟨xs, le_rfl, hxy⟩ } },
refine ⟨p, λ x, p x - f x, hp, hq, _⟩,
ext x,
dsimp,
abel,
end
/-! ## Lipschitz functions and bounded variation -/
lemma lipschitz_on_with.comp_evariation_on_le {f : E → F} {C : ℝ≥0} {t : set E}
(h : lipschitz_on_with C f t) {g : α → E} {s : set α} (hg : maps_to g s t) :
evariation_on (f ∘ g) s ≤ C * evariation_on g s :=
begin
apply supr_le _,
rintros ⟨n, ⟨u, hu, us⟩⟩,
calc
∑ i in finset.range n, edist (f (g (u (i+1)))) (f (g (u i)))
≤ ∑ i in finset.range n, C * edist (g (u (i+1))) (g (u i)) :
finset.sum_le_sum (λ i hi, h (hg (us _)) (hg (us _)))
... = C * ∑ i in finset.range n, edist (g (u (i+1))) (g (u i)) : by rw finset.mul_sum
... ≤ C * evariation_on g s : mul_le_mul_left' (evariation_on.sum_le _ _ hu us) _
end
lemma lipschitz_on_with.comp_has_bounded_variation_on {f : E → F} {C : ℝ≥0} {t : set E}
(hf : lipschitz_on_with C f t) {g : α → E} {s : set α} (hg : maps_to g s t)
(h : has_bounded_variation_on g s) :
has_bounded_variation_on (f ∘ g) s :=
begin
dsimp [has_bounded_variation_on] at h,
apply ne_of_lt,
apply (hf.comp_evariation_on_le hg).trans_lt,
simp [lt_top_iff_ne_top, h],
end
lemma lipschitz_on_with.comp_has_locally_bounded_variation_on {f : E → F} {C : ℝ≥0} {t : set E}
(hf : lipschitz_on_with C f t) {g : α → E} {s : set α} (hg : maps_to g s t)
(h : has_locally_bounded_variation_on g s) :
has_locally_bounded_variation_on (f ∘ g) s :=
λ x y xs ys, hf.comp_has_bounded_variation_on (hg.mono_left (inter_subset_left _ _)) (h x y xs ys)
lemma lipschitz_with.comp_has_bounded_variation_on {f : E → F} {C : ℝ≥0}
(hf : lipschitz_with C f) {g : α → E} {s : set α} (h : has_bounded_variation_on g s) :
has_bounded_variation_on (f ∘ g) s :=
(hf.lipschitz_on_with univ).comp_has_bounded_variation_on (maps_to_univ _ _) h
lemma lipschitz_with.comp_has_locally_bounded_variation_on {f : E → F} {C : ℝ≥0}
(hf : lipschitz_with C f) {g : α → E} {s : set α} (h : has_locally_bounded_variation_on g s) :
has_locally_bounded_variation_on (f ∘ g) s :=
(hf.lipschitz_on_with univ).comp_has_locally_bounded_variation_on (maps_to_univ _ _) h
lemma lipschitz_on_with.has_locally_bounded_variation_on {f : ℝ → E} {C : ℝ≥0} {s : set ℝ}
(hf : lipschitz_on_with C f s) : has_locally_bounded_variation_on f s :=
hf.comp_has_locally_bounded_variation_on (maps_to_id _)
(@monotone_on_id ℝ _ s).has_locally_bounded_variation_on
lemma lipschitz_with.has_locally_bounded_variation_on {f : ℝ → E} {C : ℝ≥0}
(hf : lipschitz_with C f) (s : set ℝ) : has_locally_bounded_variation_on f s :=
(hf.lipschitz_on_with s).has_locally_bounded_variation_on
/-! ## Almost everywhere differentiability of functions with locally bounded variation -/
namespace has_locally_bounded_variation_on
/-- A bounded variation function into `ℝ` is differentiable almost everywhere. Superseded by
`ae_differentiable_within_at_of_mem`. -/
theorem ae_differentiable_within_at_of_mem_real
{f : ℝ → ℝ} {s : set ℝ} (h : has_locally_bounded_variation_on f s) :
∀ᵐ x, x ∈ s → differentiable_within_at ℝ f s x :=
begin
obtain ⟨p, q, hp, hq, fpq⟩ : ∃ p q, monotone_on p s ∧ monotone_on q s ∧ f = p - q,
from h.exists_monotone_on_sub_monotone_on,
filter_upwards [hp.ae_differentiable_within_at_of_mem, hq.ae_differentiable_within_at_of_mem]
with x hxp hxq xs,
have fpq : ∀ x, f x = p x - q x, by simp [fpq],
refine ((hxp xs).sub (hxq xs)).congr (λ y hy, fpq y) (fpq x),
end
/-- A bounded variation function into a finite dimensional product vector space is differentiable
almost everywhere. Superseded by `ae_differentiable_within_at_of_mem`. -/
theorem ae_differentiable_within_at_of_mem_pi {ι : Type*} [fintype ι]
{f : ℝ → (ι → ℝ)} {s : set ℝ} (h : has_locally_bounded_variation_on f s) :
∀ᵐ x, x ∈ s → differentiable_within_at ℝ f s x :=
begin
have A : ∀ (i : ι), lipschitz_with 1 (λ (x : ι → ℝ), x i) := λ i, lipschitz_with.eval i,
have : ∀ (i : ι), ∀ᵐ x, x ∈ s → differentiable_within_at ℝ (λ (x : ℝ), f x i) s x,
{ assume i,
apply ae_differentiable_within_at_of_mem_real,
exact lipschitz_with.comp_has_locally_bounded_variation_on (A i) h },
filter_upwards [ae_all_iff.2 this] with x hx xs,
exact differentiable_within_at_pi.2 (λ i, hx i xs),
end
/-- A real function into a finite dimensional real vector space with bounded variation on a set
is differentiable almost everywhere in this set. -/
theorem ae_differentiable_within_at_of_mem
{f : ℝ → V} {s : set ℝ} (h : has_locally_bounded_variation_on f s) :
∀ᵐ x, x ∈ s → differentiable_within_at ℝ f s x :=
begin
let A := (basis.of_vector_space ℝ V).equiv_fun.to_continuous_linear_equiv,
suffices H : ∀ᵐ x, x ∈ s → differentiable_within_at ℝ (A ∘ f) s x,
{ filter_upwards [H] with x hx xs,
have : f = (A.symm ∘ A) ∘ f,
by simp only [continuous_linear_equiv.symm_comp_self, function.comp.left_id],
rw this,
exact A.symm.differentiable_at.comp_differentiable_within_at x (hx xs) },
apply ae_differentiable_within_at_of_mem_pi,
exact A.lipschitz.comp_has_locally_bounded_variation_on h,
end
/-- A real function into a finite dimensional real vector space with bounded variation on a set
is differentiable almost everywhere in this set. -/
theorem ae_differentiable_within_at
{f : ℝ → V} {s : set ℝ} (h : has_locally_bounded_variation_on f s) (hs : measurable_set s) :
∀ᵐ x ∂(volume.restrict s), differentiable_within_at ℝ f s x :=
begin
rw ae_restrict_iff' hs,
exact h.ae_differentiable_within_at_of_mem
end
/-- A real function into a finite dimensional real vector space with bounded variation
is differentiable almost everywhere. -/
theorem ae_differentiable_at {f : ℝ → V} (h : has_locally_bounded_variation_on f univ) :
∀ᵐ x, differentiable_at ℝ f x :=
begin
filter_upwards [h.ae_differentiable_within_at_of_mem] with x hx,
rw differentiable_within_at_univ at hx,
exact hx (mem_univ _),
end
end has_locally_bounded_variation_on
/-- A real function into a finite dimensional real vector space which is Lipschitz on a set
is differentiable almost everywhere in this set . -/
lemma lipschitz_on_with.ae_differentiable_within_at_of_mem
{C : ℝ≥0} {f : ℝ → V} {s : set ℝ} (h : lipschitz_on_with C f s) :
∀ᵐ x, x ∈ s → differentiable_within_at ℝ f s x :=
h.has_locally_bounded_variation_on.ae_differentiable_within_at_of_mem
/-- A real function into a finite dimensional real vector space which is Lipschitz on a set
is differentiable almost everywhere in this set. -/
lemma lipschitz_on_with.ae_differentiable_within_at
{C : ℝ≥0} {f : ℝ → V} {s : set ℝ} (h : lipschitz_on_with C f s) (hs : measurable_set s) :
∀ᵐ x ∂(volume.restrict s), differentiable_within_at ℝ f s x :=
h.has_locally_bounded_variation_on.ae_differentiable_within_at hs
/-- A real Lipschitz function into a finite dimensional real vector space is differentiable
almost everywhere. -/
lemma lipschitz_with.ae_differentiable_at
{C : ℝ≥0} {f : ℝ → V} (h : lipschitz_with C f) :
∀ᵐ x, differentiable_at ℝ f x :=
(h.has_locally_bounded_variation_on univ).ae_differentiable_at
|
b8a2c835eb556cf5dec5e800d4745d425974944f | 6dc0c8ce7a76229dd81e73ed4474f15f88a9e294 | /src/Lean/Declaration.lean | e9f0d5272cd56f4adf53e49e67eacd1075691e7a | [
"Apache-2.0"
] | permissive | williamdemeo/lean4 | 72161c58fe65c3ad955d6a3050bb7d37c04c0d54 | 6d00fcf1d6d873e195f9220c668ef9c58e9c4a35 | refs/heads/master | 1,678,305,356,877 | 1,614,708,995,000 | 1,614,708,995,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 14,094 | lean | /-
Copyright (c) 2018 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Expr
namespace Lean
/--
Reducibility hints are used in the convertibility checker.
When trying to solve a constraint such a
(f ...) =?= (g ...)
where f and g are definitions, the checker has to decide which one will be unfolded.
If f (g) is opaque, then g (f) is unfolded if it is also not marked as opaque,
Else if f (g) is abbrev, then f (g) is unfolded if g (f) is also not marked as abbrev,
Else if f and g are regular, then we unfold the one with the biggest definitional height.
Otherwise both are unfolded.
The arguments of the `regular` Constructor are: the definitional height and the flag `selfOpt`.
The definitional height is by default computed by the kernel. It only takes into account
other regular definitions used in a definition. When creating declarations using meta-programming,
we can specify the definitional depth manually.
Remark: the hint only affects performance. None of the hints prevent the kernel from unfolding a
declaration during Type checking.
Remark: the ReducibilityHints are not related to the attributes: reducible/irrelevance/semireducible.
These attributes are used by the Elaborator. The ReducibilityHints are used by the kernel (and Elaborator).
Moreover, the ReducibilityHints cannot be changed after a declaration is added to the kernel. -/
inductive ReducibilityHints where
| opaque : ReducibilityHints
| «abbrev» : ReducibilityHints
| regular : UInt32 → ReducibilityHints
deriving Inhabited
@[export lean_mk_reducibility_hints_regular]
def mkReducibilityHintsRegularEx (h : UInt32) : ReducibilityHints :=
ReducibilityHints.regular h
@[export lean_reducibility_hints_get_height]
def ReducibilityHints.getHeightEx (h : ReducibilityHints) : UInt32 :=
match h with
| ReducibilityHints.regular h => h
| _ => 0
namespace ReducibilityHints
def lt : ReducibilityHints → ReducibilityHints → Bool
| «abbrev», «abbrev» => false
| «abbrev», _ => true
| regular d₁, regular d₂ => d₁ < d₂
| regular _, opaque => true
| _, _ => false
end ReducibilityHints
/-- Base structure for `AxiomVal`, `DefinitionVal`, `TheoremVal`, `InductiveVal`, `ConstructorVal`, `RecursorVal` and `QuotVal`. -/
structure ConstantVal where
name : Name
levelParams : List Name
type : Expr
deriving Inhabited
structure AxiomVal extends ConstantVal where
isUnsafe : Bool
deriving Inhabited
@[export lean_mk_axiom_val]
def mkAxiomValEx (name : Name) (levelParams : List Name) (type : Expr) (isUnsafe : Bool) : AxiomVal := {
name := name,
levelParams := levelParams,
type := type,
isUnsafe := isUnsafe
}
@[export lean_axiom_val_is_unsafe] def AxiomVal.isUnsafeEx (v : AxiomVal) : Bool :=
v.isUnsafe
inductive DefinitionSafety where
| «unsafe» | safe | «partial»
deriving Inhabited, BEq, Repr
structure DefinitionVal extends ConstantVal where
value : Expr
hints : ReducibilityHints
safety : DefinitionSafety
deriving Inhabited
@[export lean_mk_definition_val]
def mkDefinitionValEx (name : Name) (levelParams : List Name) (type : Expr) (val : Expr) (hints : ReducibilityHints) (safety : DefinitionSafety) : DefinitionVal := {
name := name,
levelParams := levelParams,
type := type,
value := val,
hints := hints,
safety := safety
}
@[export lean_definition_val_get_safety] def DefinitionVal.getSafetyEx (v : DefinitionVal) : DefinitionSafety :=
v.safety
structure TheoremVal extends ConstantVal where
value : Expr
deriving Inhabited
/- Value for an opaque constant declaration `constant x : t := e` -/
structure OpaqueVal extends ConstantVal where
value : Expr
isUnsafe : Bool
deriving Inhabited
@[export lean_mk_opaque_val]
def mkOpaqueValEx (name : Name) (levelParams : List Name) (type : Expr) (val : Expr) (isUnsafe : Bool) : OpaqueVal := {
name := name,
levelParams := levelParams,
type := type,
value := val,
isUnsafe := isUnsafe
}
@[export lean_opaque_val_is_unsafe] def OpaqueVal.isUnsafeEx (v : OpaqueVal) : Bool :=
v.isUnsafe
structure Constructor where
name : Name
type : Expr
deriving Inhabited
structure InductiveType where
name : Name
type : Expr
ctors : List Constructor
deriving Inhabited
/-- Declaration object that can be sent to the kernel. -/
inductive Declaration where
| axiomDecl (val : AxiomVal)
| defnDecl (val : DefinitionVal)
| thmDecl (val : TheoremVal)
| opaqueDecl (val : OpaqueVal)
| quotDecl
| mutualDefnDecl (defns : List DefinitionVal) -- All definitions must be marked as `unsafe` or `partial`
| inductDecl (lparams : List Name) (nparams : Nat) (types : List InductiveType) (isUnsafe : Bool)
deriving Inhabited
@[export lean_mk_inductive_decl]
def mkInductiveDeclEs (lparams : List Name) (nparams : Nat) (types : List InductiveType) (isUnsafe : Bool) : Declaration :=
Declaration.inductDecl lparams nparams types isUnsafe
@[export lean_is_unsafe_inductive_decl]
def Declaration.isUnsafeInductiveDeclEx : Declaration → Bool
| Declaration.inductDecl _ _ _ isUnsafe => isUnsafe
| _ => false
@[specialize] def Declaration.foldExprM {α} {m : Type → Type} [Monad m] (d : Declaration) (f : α → Expr → m α) (a : α) : m α :=
match d with
| Declaration.quotDecl => pure a
| Declaration.axiomDecl { type := type, .. } => f a type
| Declaration.defnDecl { type := type, value := value, .. } => do let a ← f a type; f a value
| Declaration.opaqueDecl { type := type, value := value, .. } => do let a ← f a type; f a value
| Declaration.thmDecl { type := type, value := value, .. } => do let a ← f a type; f a value
| Declaration.mutualDefnDecl vals => vals.foldlM (fun a v => do let a ← f a v.type; f a v.value) a
| Declaration.inductDecl _ _ inductTypes _ =>
inductTypes.foldlM
(fun a inductType => do
let a ← f a inductType.type
inductType.ctors.foldlM (fun a ctor => f a ctor.type) a)
a
@[inline] def Declaration.forExprM {m : Type → Type} [Monad m] (d : Declaration) (f : Expr → m Unit) : m Unit :=
d.foldExprM (fun _ a => f a) ()
/-- The kernel compiles (mutual) inductive declarations (see `inductiveDecls`) into a set of
- `Declaration.inductDecl` (for each inductive datatype in the mutual Declaration),
- `Declaration.ctorDecl` (for each Constructor in the mutual Declaration),
- `Declaration.recDecl` (automatically generated recursors).
This data is used to implement iota-reduction efficiently and compile nested inductive
declarations.
A series of checks are performed by the kernel to check whether a `inductiveDecls`
is valid or not. -/
structure InductiveVal extends ConstantVal where
numParams : Nat -- Number of parameters
numIndices : Nat -- Number of indices
all : List Name -- List of all (including this one) inductive datatypes in the mutual declaration containing this one
ctors : List Name -- List of all constructors for this inductive datatype
isRec : Bool -- `true` Iff it is recursive
isUnsafe : Bool
isReflexive : Bool
isNested : Bool
deriving Inhabited
@[export lean_mk_inductive_val]
def mkInductiveValEx (name : Name) (levelParams : List Name) (type : Expr) (numParams numIndices : Nat)
(all ctors : List Name) (isRec isUnsafe isReflexive isNested : Bool) : InductiveVal := {
name := name
levelParams := levelParams
type := type
numParams := numParams
numIndices := numIndices
all := all
ctors := ctors
isRec := isRec
isUnsafe := isUnsafe
isReflexive := isReflexive
isNested := isNested
}
@[export lean_inductive_val_is_rec] def InductiveVal.isRecEx (v : InductiveVal) : Bool := v.isRec
@[export lean_inductive_val_is_unsafe] def InductiveVal.isUnsafeEx (v : InductiveVal) : Bool := v.isUnsafe
@[export lean_inductive_val_is_reflexive] def InductiveVal.isReflexiveEx (v : InductiveVal) : Bool := v.isReflexive
@[export lean_inductive_val_is_nested] def InductiveVal.isNestedEx (v : InductiveVal) : Bool := v.isNested
def InductiveVal.nctors (v : InductiveVal) : Nat := v.ctors.length
structure ConstructorVal extends ConstantVal where
induct : Name -- Inductive Type this Constructor is a member of
cidx : Nat -- Constructor index (i.e., Position in the inductive declaration)
numParams : Nat -- Number of parameters in inductive datatype `induct`
numFields : Nat -- Number of fields (i.e., arity - nparams)
isUnsafe : Bool
deriving Inhabited
@[export lean_mk_constructor_val]
def mkConstructorValEx (name : Name) (levelParams : List Name) (type : Expr) (induct : Name) (cidx numParams numFields : Nat) (isUnsafe : Bool) : ConstructorVal := {
name := name,
levelParams := levelParams,
type := type,
induct := induct,
cidx := cidx,
numParams := numParams,
numFields := numFields,
isUnsafe := isUnsafe
}
@[export lean_constructor_val_is_unsafe] def ConstructorVal.isUnsafeEx (v : ConstructorVal) : Bool := v.isUnsafe
/-- Information for reducing a recursor -/
structure RecursorRule where
ctor : Name -- Reduction rule for this Constructor
nfields : Nat -- Number of fields (i.e., without counting inductive datatype parameters)
rhs : Expr -- Right hand side of the reduction rule
deriving Inhabited
structure RecursorVal extends ConstantVal where
all : List Name -- List of all inductive datatypes in the mutual declaration that generated this recursor
numParams : Nat -- Number of parameters
numIndices : Nat -- Number of indices
numMotives : Nat -- Number of motives
numMinors : Nat -- Number of minor premises
rules : List RecursorRule -- A reduction for each Constructor
k : Bool -- It supports K-like reduction
isUnsafe : Bool
deriving Inhabited
@[export lean_mk_recursor_val]
def mkRecursorValEx (name : Name) (levelParams : List Name) (type : Expr) (all : List Name) (numParams numIndices numMotives numMinors : Nat)
(rules : List RecursorRule) (k isUnsafe : Bool) : RecursorVal := {
name := name, levelParams := levelParams, type := type, all := all, numParams := numParams, numIndices := numIndices,
numMotives := numMotives, numMinors := numMinors, rules := rules, k := k, isUnsafe := isUnsafe
}
@[export lean_recursor_k] def RecursorVal.kEx (v : RecursorVal) : Bool := v.k
@[export lean_recursor_is_unsafe] def RecursorVal.isUnsafeEx (v : RecursorVal) : Bool := v.isUnsafe
def RecursorVal.getMajorIdx (v : RecursorVal) : Nat :=
v.numParams + v.numMotives + v.numMinors + v.numIndices
def RecursorVal.getFirstIndexIdx (v : RecursorVal) : Nat :=
v.numParams + v.numMotives + v.numMinors
def RecursorVal.getFirstMinorIdx (v : RecursorVal) : Nat :=
v.numParams + v.numMotives
def RecursorVal.getInduct (v : RecursorVal) : Name :=
v.name.getPrefix
inductive QuotKind where
| type -- `Quot`
| ctor -- `Quot.mk`
| lift -- `Quot.lift`
| ind -- `Quot.ind`
deriving Inhabited
structure QuotVal extends ConstantVal where
kind : QuotKind
deriving Inhabited
@[export lean_mk_quot_val]
def mkQuotValEx (name : Name) (levelParams : List Name) (type : Expr) (kind : QuotKind) : QuotVal := {
name := name, levelParams := levelParams, type := type, kind := kind
}
@[export lean_quot_val_kind] def QuotVal.kindEx (v : QuotVal) : QuotKind := v.kind
/-- Information associated with constant declarations. -/
inductive ConstantInfo where
| axiomInfo (val : AxiomVal)
| defnInfo (val : DefinitionVal)
| thmInfo (val : TheoremVal)
| opaqueInfo (val : OpaqueVal)
| quotInfo (val : QuotVal)
| inductInfo (val : InductiveVal)
| ctorInfo (val : ConstructorVal)
| recInfo (val : RecursorVal)
deriving Inhabited
namespace ConstantInfo
def toConstantVal : ConstantInfo → ConstantVal
| defnInfo {toConstantVal := d, ..} => d
| axiomInfo {toConstantVal := d, ..} => d
| thmInfo {toConstantVal := d, ..} => d
| opaqueInfo {toConstantVal := d, ..} => d
| quotInfo {toConstantVal := d, ..} => d
| inductInfo {toConstantVal := d, ..} => d
| ctorInfo {toConstantVal := d, ..} => d
| recInfo {toConstantVal := d, ..} => d
def isUnsafe : ConstantInfo → Bool
| defnInfo v => v.safety == DefinitionSafety.unsafe
| axiomInfo v => v.isUnsafe
| thmInfo v => false
| opaqueInfo v => v.isUnsafe
| quotInfo v => false
| inductInfo v => v.isUnsafe
| ctorInfo v => v.isUnsafe
| recInfo v => v.isUnsafe
def name (d : ConstantInfo) : Name :=
d.toConstantVal.name
def levelParams (d : ConstantInfo) : List Name :=
d.toConstantVal.levelParams
def type (d : ConstantInfo) : Expr :=
d.toConstantVal.type
def value? : ConstantInfo → Option Expr
| defnInfo {value := r, ..} => some r
| thmInfo {value := r, ..} => some r
| _ => none
def hasValue : ConstantInfo → Bool
| defnInfo {value := r, ..} => true
| thmInfo {value := r, ..} => true
| _ => false
def value! : ConstantInfo → Expr
| defnInfo {value := r, ..} => r
| thmInfo {value := r, ..} => r
| _ => panic! "declaration with value expected"
def hints : ConstantInfo → ReducibilityHints
| defnInfo {hints := r, ..} => r
| _ => ReducibilityHints.opaque
def isCtor : ConstantInfo → Bool
| ctorInfo _ => true
| _ => false
@[extern "lean_instantiate_type_lparams"]
constant instantiateTypeLevelParams (c : @& ConstantInfo) (ls : @& List Level) : Expr
@[extern "lean_instantiate_value_lparams"]
constant instantiateValueLevelParams (c : @& ConstantInfo) (ls : @& List Level) : Expr
end ConstantInfo
def mkRecName (declName : Name) : Name :=
Name.mkStr declName "rec"
end Lean
|
c1b799a834025af8084f6f039c46ed5af26a6a93 | a4673261e60b025e2c8c825dfa4ab9108246c32e | /tests/lean/run/task_test_io.lean | f567c3308345dcb6d9bb466580c1b1ae835260d0 | [
"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 | 912 | lean | #lang lean4
#eval id (α := IO _) do
let t1 ← IO.asTask $ Nat.forM 10 fun _ => IO.println "hi";
let t2 ← IO.asTask $ Nat.forM 10 fun _ => IO.println "ho";
IO.ofExcept t1.get
#eval id (α := IO _) do
let t1 ← IO.mapTask IO.println (Task.spawn fun _ => "ha");
pure ()
#eval id (α := IO _) do
let t1 ← IO.bindTask (Task.spawn fun _ => "hu") fun s =>
IO.asTask (IO.println s);
pure ()
#eval id (α := IO _) do
let t1 ← IO.asTask do {
let c ← IO.checkCanceled;
IO.println (if c then "canceled!" else "done!")
};
pure ()
#eval id (α := IO _) do
let t1 ← IO.asTask do {
let c ← IO.checkCanceled;
IO.println (if c then "canceled! 2" else "done! 2")
};
IO.cancel t1;
IO.wait t1;
pure ()
#eval IO.waitAny [
Task.spawn fun _ => dbgSleep 2 fun _ => "A",
Task.spawn fun _ => dbgSleep 3 fun _ => "B",
Task.spawn fun _ => dbgSleep 1 fun _ => "C"
]
|
2659a3f42f565aed0f2187732ce6845d99d260d7 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /test/lint_coe_t.lean | 0a809d2f6e3509731d65f2c6f9172ab07374773d | [
"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 | 1,075 | lean | import tactic.lint
open tactic
-- bad, because every iteration of tc search will loop, generating nested quotients
section
local attribute [instance]
def a_to_quot {α} (R : setoid α) : has_coe α (quotient R) := ⟨quotient.mk⟩
run_cmd do
d ← get_decl ``a_to_quot,
some _ ← linter.has_coe_variable.test d,
d ← get_decl ``coe_trans,
some s ← fails_quickly 3000 d,
guard $ "maximum class-instance resolution depth has been reached".is_prefix_of s
end
-- good, because the term gets smaller in every iteration
noncomputable instance quot_to_a {α} (R : setoid α) : has_coe (quotient R) α :=
⟨λ q, quot.rec_on q (λ a, classical.choice ⟨a⟩) (by cc)⟩
run_cmd do
decl ← get_decl ``quot_to_a,
-- linter does not complain
none ← linter.has_coe_variable.test decl,
skip
-- bad, because it introduces a metavariable
section
local attribute [instance]
def int_to_a {α} [inhabited α] : has_coe ℤ α := ⟨default⟩
run_cmd do
decl ← get_decl ``int_to_a,
-- linter does not complain
some _ ← linter.has_coe_variable.test decl,
skip
end
|
39f1567e89ade9b1300455bd740a34864527153c | 05f637fa14ac28031cb1ea92086a0f4eb23ff2b1 | /src/builtin/sum.lean | abfc2e50f58ecdf396f7c96d5ce55855bff331fe | [
"Apache-2.0"
] | permissive | codyroux/lean0.1 | 1ce92751d664aacff0529e139083304a7bbc8a71 | 0dc6fb974aa85ed6f305a2f4b10a53a44ee5f0ef | refs/heads/master | 1,610,830,535,062 | 1,402,150,480,000 | 1,402,150,480,000 | 19,588,851 | 2 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,035 | lean | -- Copyright (c) 2014 Microsoft Corporation. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Author: Leonardo de Moura
import macros subtype optional
using subtype
using optional
-- We are encoding the (sum A B) as a subtype of (optional A) # (optional B), where
-- (proj1 n = none) ≠ (proj2 n = none)
definition sum_pred (A B : (Type U)) := λ p : (optional A) # (optional B), (proj1 p = none) ≠ (proj2 p = none)
definition sum (A B : (Type U)) := subtype ((optional A) # (optional B)) (sum_pred A B)
namespace sum
theorem inl_pred {A : (Type U)} (a : A) (B : (Type U)) : sum_pred A B (pair (some a) none)
:= not_intro
(assume N : (some a = none) = (none = (@none B)),
have eq : some a = none,
from (symm N) ◂ (refl (@none B)),
show false,
from absurd eq (distinct a))
theorem inr_pred (A : (Type U)) {B : (Type U)} (b : B) : sum_pred A B (pair none (some b))
:= not_intro
(assume N : (none = (@none A)) = (some b = none),
have eq : some b = none,
from N ◂ (refl (@none A)),
show false,
from absurd eq (distinct b))
theorem inhabl {A : (Type U)} (H : inhabited A) (B : (Type U)) : inhabited (sum A B)
:= inhabited_elim H (take w : A,
subtype_inhabited (exists_intro (pair (some w) none) (inl_pred w B)))
theorem inhabr (A : (Type U)) {B : (Type U)} (H : inhabited B) : inhabited (sum A B)
:= inhabited_elim H (take w : B,
subtype_inhabited (exists_intro (pair none (some w)) (inr_pred A w)))
definition inl {A : (Type U)} (a : A) (B : (Type U)) : sum A B
:= abst (pair (some a) none) (inhabl (inhabited_intro a) B)
definition inr (A : (Type U)) {B : (Type U)} (b : B) : sum A B
:= abst (pair none (some b)) (inhabr A (inhabited_intro b))
theorem inl_inj {A B : (Type U)} {a1 a2 : A} : inl a1 B = inl a2 B → a1 = a2
:= assume Heq : inl a1 B = inl a2 B,
have eq1 : inl a1 B = abst (pair (some a1) none) (inhabl (inhabited_intro a1) B),
from refl (inl a1 B),
have eq2 : inl a2 B = abst (pair (some a2) none) (inhabl (inhabited_intro a1) B),
from subst (refl (inl a2 B)) (proof_irrel (inhabl (inhabited_intro a2) B) (inhabl (inhabited_intro a1) B)),
have rep_eq : (pair (some a1) none) = (pair (some a2) none),
from abst_inj (inhabl (inhabited_intro a1) B) (inl_pred a1 B) (inl_pred a2 B) (trans (trans (symm eq1) Heq) eq2),
show a1 = a2,
from optional::injectivity
(calc some a1 = proj1 (pair (some a1) (@none B)) : refl (some a1)
... = proj1 (pair (some a2) (@none B)) : proj1_congr rep_eq
... = some a2 : refl (some a2))
theorem inr_inj {A B : (Type U)} {b1 b2 : B} : inr A b1 = inr A b2 → b1 = b2
:= assume Heq : inr A b1 = inr A b2,
have eq1 : inr A b1 = abst (pair none (some b1)) (inhabr A (inhabited_intro b1)),
from refl (inr A b1),
have eq2 : inr A b2 = abst (pair none (some b2)) (inhabr A (inhabited_intro b1)),
from subst (refl (inr A b2)) (proof_irrel (inhabr A (inhabited_intro b2)) (inhabr A (inhabited_intro b1))),
have rep_eq : (pair none (some b1)) = (pair none (some b2)),
from abst_inj (inhabr A (inhabited_intro b1)) (inr_pred A b1) (inr_pred A b2) (trans (trans (symm eq1) Heq) eq2),
show b1 = b2,
from optional::injectivity
(calc some b1 = proj2 (pair (@none A) (some b1)) : refl (some b1)
... = proj2 (pair (@none A) (some b2)) : proj2_congr rep_eq
... = some b2 : refl (some b2))
theorem distinct {A B : (Type U)} (a : A) (b : B) : inl a B ≠ inr A b
:= not_intro (assume N : inl a B = inr A b,
have eq1 : inl a B = abst (pair (some a) none) (inhabl (inhabited_intro a) B),
from refl (inl a B),
have eq2 : inr A b = abst (pair none (some b)) (inhabl (inhabited_intro a) B),
from subst (refl (inr A b)) (proof_irrel (inhabr A (inhabited_intro b)) (inhabl (inhabited_intro a) B)),
have rep_eq : (pair (some a) none) = (pair none (some b)),
from abst_inj (inhabl (inhabited_intro a) B) (inl_pred a B) (inr_pred A b) (trans (trans (symm eq1) N) eq2),
show false,
from absurd (proj1_congr rep_eq) (optional::distinct a))
theorem dichotomy {A B : (Type U)} (n : sum A B) : (∃ a, n = inl a B) ∨ (∃ b, n = inr A b)
:= let pred : (proj1 (rep n) = none) ≠ (proj2 (rep n) = none) := P_rep n
in or_elim (em (proj1 (rep n) = none))
(assume Heq : proj1 (rep n) = none,
have neq_none : ¬ proj2 (rep n) = (@none B),
from (symm (not_iff_elim (ne_symm pred))) ◂ Heq,
have ex_some : ∃ b, proj2 (rep n) = some b,
from resolve1 (optional::dichotomy (proj2 (rep n))) neq_none,
obtain (b : B) (Hb : proj2 (rep n) = some b),
from ex_some,
show (∃ a, n = inl a B) ∨ (∃ b, n = inr A b),
from or_intror (∃ a, n = inl a B)
(have rep_eq : rep n = pair none (some b),
from pairext_proj Heq Hb,
have rep_inr : rep (inr A b) = pair none (some b),
from rep_abst (inhabr A (inhabited_intro b)) (pair none (some b)) (inr_pred A b),
have n_eq_inr : n = inr A b,
from rep_inj (trans rep_eq (symm rep_inr)),
show (∃ b, n = inr A b),
from exists_intro b n_eq_inr))
(assume Hne : ¬ proj1 (rep n) = none,
have eq_none : proj2 (rep n) = (@none B),
from (not_iff_elim pred) ◂ Hne,
have ex_some : ∃ a, proj1 (rep n) = some a,
from resolve1 (optional::dichotomy (proj1 (rep n))) Hne,
obtain (a : A) (Ha : proj1 (rep n) = some a),
from ex_some,
show (∃ a, n = inl a B) ∨ (∃ b, n = inr A b),
from or_introl
(have rep_eq : rep n = pair (some a) none,
from pairext_proj Ha eq_none,
have rep_inl : rep (inl a B) = pair (some a) none,
from rep_abst (inhabl (inhabited_intro a) B) (pair (some a) none) (inl_pred a B),
have n_eq_inl : n = inl a B,
from rep_inj (trans rep_eq (symm rep_inl)),
show ∃ a, n = inl a B,
from exists_intro a n_eq_inl)
(∃ b, n = inr A b))
theorem induction {A B : (Type U)} {P : sum A B → Bool} (H1 : ∀ a, P (inl a B)) (H2 : ∀ b, P (inr A b)) : ∀ n, P n
:= take n, or_elim (sum::dichotomy n)
(assume Hex : ∃ a, n = inl a B,
obtain (a : A) (Ha : n = inl a B), from Hex,
show P n,
from subst (H1 a) (symm Ha))
(assume Hex : ∃ b, n = inr A b,
obtain (b : B) (Hb : n = inr A b), from Hex,
show P n,
from subst (H2 b) (symm Hb))
set_opaque inl true
set_opaque inr true
end
set_opaque sum_pred true
set_opaque sum true
|
662f5fec6c1009b5ca0c774ded18c15488803058 | 2eab05920d6eeb06665e1a6df77b3157354316ad | /src/dynamics/circle/rotation_number/translation_number.lean | 578ccef2af38496ccd8c20d663d31c351b66d7b5 | [
"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 | 39,650 | lean | /-
Copyright (c) 2020 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import algebra.iterate_hom
import analysis.specific_limits
import topology.algebra.ordered.monotone_continuity
import order.iterate
import order.semiconj_Sup
/-!
# Translation number of a monotone real map that commutes with `x ↦ x + 1`
Let `f : ℝ → ℝ` be a monotone map such that `f (x + 1) = f x + 1` for all `x`. Then the limit
$$
\tau(f)=\lim_{n\to\infty}{f^n(x)-x}{n}
$$
exists and does not depend on `x`. This number is called the *translation number* of `f`.
Different authors use different notation for this number: `τ`, `ρ`, `rot`, etc
In this file we define a structure `circle_deg1_lift` for bundled maps with these properties, define
translation number of `f : circle_deg1_lift`, prove some estimates relating `f^n(x)-x` to `τ(f)`. In
case of a continuous map `f` we also prove that `f` admits a point `x` such that `f^n(x)=x+m` if and
only if `τ(f)=m/n`.
Maps of this type naturally appear as lifts of orientation preserving circle homeomorphisms. More
precisely, let `f` be an orientation preserving homeomorphism of the circle $S^1=ℝ/ℤ$, and
consider a real number `a` such that
`⟦a⟧ = f 0`, where `⟦⟧` means the natural projection `ℝ → ℝ/ℤ`. Then there exists a unique
continuous function `F : ℝ → ℝ` such that `F 0 = a` and `⟦F x⟧ = f ⟦x⟧` for all `x` (this fact is
not formalized yet). This function is strictly monotone, continuous, and satisfies
`F (x + 1) = F x + 1`. The number `⟦τ F⟧ : ℝ / ℤ` is called the *rotation number* of `f`.
It does not depend on the choice of `a`.
## Main definitions
* `circle_deg1_lift`: a monotone map `f : ℝ → ℝ` such that `f (x + 1) = f x + 1` for all `x`;
the type `circle_deg1_lift` is equipped with `lattice` and `monoid` structures; the
multiplication is given by composition: `(f * g) x = f (g x)`.
* `circle_deg1_lift.translation_number`: translation number of `f : circle_deg1_lift`.
## Main statements
We prove the following properties of `circle_deg1_lift.translation_number`.
* `circle_deg1_lift.translation_number_eq_of_dist_bounded`: if the distance between `(f^n) 0`
and `(g^n) 0` is bounded from above uniformly in `n : ℕ`, then `f` and `g` have equal
translation numbers.
* `circle_deg1_lift.translation_number_eq_of_semiconj_by`: if two `circle_deg1_lift` maps `f`, `g`
are semiconjugate by a `circle_deg1_lift` map, then `τ f = τ g`.
* `circle_deg1_lift.translation_number_units_inv`: if `f` is an invertible `circle_deg1_lift` map
(equivalently, `f` is a lift of an orientation-preserving circle homeomorphism), then
the translation number of `f⁻¹` is the negative of the translation number of `f`.
* `circle_deg1_lift.translation_number_mul_of_commute`: if `f` and `g` commute, then
`τ (f * g) = τ f + τ g`.
* `circle_deg1_lift.translation_number_eq_rat_iff`: the translation number of `f` is equal to
a rational number `m / n` if and only if `(f^n) x = x + m` for some `x`.
* `circle_deg1_lift.semiconj_of_bijective_of_translation_number_eq`: if `f` and `g` are two
bijective `circle_deg1_lift` maps and their translation numbers are equal, then these
maps are semiconjugate to each other.
* `circle_deg1_lift.semiconj_of_group_action_of_forall_translation_number_eq`: let `f₁` and `f₂` be
two actions of a group `G` on the circle by degree 1 maps (formally, `f₁` and `f₂` are two
homomorphisms from `G →* circle_deg1_lift`). If the translation numbers of `f₁ g` and `f₂ g` are
equal to each other for all `g : G`, then these two actions are semiconjugate by some `F :
circle_deg1_lift`. This is a version of Proposition 5.4 from [Étienne Ghys, Groupes
d'homeomorphismes du cercle et cohomologie bornee][ghys87:groupes].
## Notation
We use a local notation `τ` for the translation number of `f : circle_deg1_lift`.
## Implementation notes
We define the translation number of `f : circle_deg1_lift` to be the limit of the sequence
`(f ^ (2 ^ n)) 0 / (2 ^ n)`, then prove that `((f ^ n) x - x) / n` tends to this number for any `x`.
This way it is much easier to prove that the limit exists and basic properties of the limit.
We define translation number for a wider class of maps `f : ℝ → ℝ` instead of lifts of orientation
preserving circle homeomorphisms for two reasons:
* non-strictly monotone circle self-maps with discontinuities naturally appear as Poincaré maps
for some flows on the two-torus (e.g., one can take a constant flow and glue in a few Cherry
cells);
* definition and some basic properties still work for this class.
## References
* [Étienne Ghys, Groupes d'homeomorphismes du cercle et cohomologie bornee][ghys87:groupes]
## TODO
Here are some short-term goals.
* Introduce a structure or a typeclass for lifts of circle homeomorphisms. We use `units
circle_deg1_lift` for now, but it's better to have a dedicated type (or a typeclass?).
* Prove that the `semiconj_by` relation on circle homeomorphisms is an equivalence relation.
* Introduce `conditionally_complete_lattice` structure, use it in the proof of
`circle_deg1_lift.semiconj_of_group_action_of_forall_translation_number_eq`.
* Prove that the orbits of the irrational rotation are dense in the circle. Deduce that a
homeomorphism with an irrational rotation is semiconjugate to the corresponding irrational
translation by a continuous `circle_deg1_lift`.
## Tags
circle homeomorphism, rotation number
-/
open filter set function (hiding commute) int
open_locale topological_space classical
/-!
### Definition and monoid structure
-/
/-- A lift of a monotone degree one map `S¹ → S¹`. -/
structure circle_deg1_lift : Type :=
(to_fun : ℝ → ℝ)
(monotone' : monotone to_fun)
(map_add_one' : ∀ x, to_fun (x + 1) = to_fun x + 1)
namespace circle_deg1_lift
instance : has_coe_to_fun circle_deg1_lift (λ _, ℝ → ℝ) := ⟨circle_deg1_lift.to_fun⟩
@[simp] lemma coe_mk (f h₁ h₂) : ⇑(mk f h₁ h₂) = f := rfl
variables (f g : circle_deg1_lift)
protected lemma monotone : monotone f := f.monotone'
@[mono] lemma mono {x y} (h : x ≤ y) : f x ≤ f y := f.monotone h
lemma strict_mono_iff_injective : strict_mono f ↔ injective f :=
f.monotone.strict_mono_iff_injective
@[simp] lemma map_add_one : ∀ x, f (x + 1) = f x + 1 := f.map_add_one'
@[simp] lemma map_one_add (x : ℝ) : f (1 + x) = 1 + f x := by rw [add_comm, map_add_one, add_comm]
theorem coe_inj : ∀ ⦃f g : circle_deg1_lift ⦄, (f : ℝ → ℝ) = g → f = g :=
assume ⟨f, fm, fd⟩ ⟨g, gm, gd⟩ h, by congr; exact h
@[ext] theorem ext ⦃f g : circle_deg1_lift ⦄ (h : ∀ x, f x = g x) : f = g :=
coe_inj $ funext h
theorem ext_iff {f g : circle_deg1_lift} : f = g ↔ ∀ x, f x = g x :=
⟨λ h x, h ▸ rfl, λ h, ext h⟩
instance : monoid circle_deg1_lift :=
{ mul := λ f g,
{ to_fun := f ∘ g,
monotone' := f.monotone.comp g.monotone,
map_add_one' := λ x, by simp [map_add_one] },
one := ⟨id, monotone_id, λ _, rfl⟩,
mul_one := λ f, coe_inj $ function.comp.right_id f,
one_mul := λ f, coe_inj $ function.comp.left_id f,
mul_assoc := λ f₁ f₂ f₃, coe_inj rfl }
instance : inhabited circle_deg1_lift := ⟨1⟩
@[simp] lemma coe_mul : ⇑(f * g) = f ∘ g := rfl
lemma mul_apply (x) : (f * g) x = f (g x) := rfl
@[simp] lemma coe_one : ⇑(1 : circle_deg1_lift) = id := rfl
instance units_has_coe_to_fun : has_coe_to_fun (units circle_deg1_lift) (λ _, ℝ → ℝ) :=
⟨λ f, ⇑(f : circle_deg1_lift)⟩
@[simp, norm_cast] lemma units_coe (f : units circle_deg1_lift) : ⇑(f : circle_deg1_lift) = f := rfl
@[simp] lemma units_inv_apply_apply (f : units circle_deg1_lift) (x : ℝ) :
(f⁻¹ : units circle_deg1_lift) (f x) = x :=
by simp only [← units_coe, ← mul_apply, f.inv_mul, coe_one, id]
@[simp] lemma units_apply_inv_apply (f : units circle_deg1_lift) (x : ℝ) :
f ((f⁻¹ : units circle_deg1_lift) x) = x :=
by simp only [← units_coe, ← mul_apply, f.mul_inv, coe_one, id]
/-- If a lift of a circle map is bijective, then it is an order automorphism of the line. -/
def to_order_iso : units circle_deg1_lift →* ℝ ≃o ℝ :=
{ to_fun := λ f,
{ to_fun := f,
inv_fun := ⇑(f⁻¹),
left_inv := units_inv_apply_apply f,
right_inv := units_apply_inv_apply f,
map_rel_iff' := λ x y, ⟨λ h, by simpa using mono ↑(f⁻¹) h, mono f⟩ },
map_one' := rfl,
map_mul' := λ f g, rfl }
@[simp] lemma coe_to_order_iso (f : units circle_deg1_lift) : ⇑(to_order_iso f) = f := rfl
@[simp] lemma coe_to_order_iso_symm (f : units circle_deg1_lift) :
⇑(to_order_iso f).symm = (f⁻¹ : units circle_deg1_lift) := rfl
@[simp] lemma coe_to_order_iso_inv (f : units circle_deg1_lift) :
⇑(to_order_iso f)⁻¹ = (f⁻¹ : units circle_deg1_lift) := rfl
lemma is_unit_iff_bijective {f : circle_deg1_lift} : is_unit f ↔ bijective f :=
⟨λ ⟨u, h⟩, h ▸ (to_order_iso u).bijective, λ h, units.is_unit
{ val := f,
inv := { to_fun := (equiv.of_bijective f h).symm,
monotone' := λ x y hxy, (f.strict_mono_iff_injective.2 h.1).le_iff_le.1
(by simp only [equiv.of_bijective_apply_symm_apply f h, hxy]),
map_add_one' := λ x, h.1 $
by simp only [equiv.of_bijective_apply_symm_apply f, f.map_add_one] },
val_inv := ext $ equiv.of_bijective_apply_symm_apply f h,
inv_val := ext $ equiv.of_bijective_symm_apply_apply f h }⟩
lemma coe_pow : ∀ n : ℕ, ⇑(f^n) = (f^[n])
| 0 := rfl
| (n+1) := by {ext x, simp [coe_pow n, pow_succ'] }
lemma semiconj_by_iff_semiconj {f g₁ g₂ : circle_deg1_lift} :
semiconj_by f g₁ g₂ ↔ semiconj f g₁ g₂ :=
ext_iff
lemma commute_iff_commute {f g : circle_deg1_lift} :
commute f g ↔ function.commute f g :=
ext_iff
/-!
### Translate by a constant
-/
/-- The map `y ↦ x + y` as a `circle_deg1_lift`. More precisely, we define a homomorphism from
`multiplicative ℝ` to `units circle_deg1_lift`, so the translation by `x` is
`translation (multiplicative.of_add x)`. -/
def translate : multiplicative ℝ →* units circle_deg1_lift :=
by refine (units.map _).comp to_units.to_monoid_hom; exact
{ to_fun := λ x, ⟨λ y, x.to_add + y, λ y₁ y₂ h, add_le_add_left h _, λ y, (add_assoc _ _ _).symm⟩,
map_one' := ext $ zero_add,
map_mul' := λ x y, ext $ add_assoc _ _ }
@[simp] lemma translate_apply (x y : ℝ) : translate (multiplicative.of_add x) y = x + y := rfl
@[simp]
lemma translate_inv_apply (x y : ℝ) : (translate $ multiplicative.of_add x)⁻¹ y = -x + y := rfl
@[simp] lemma translate_gpow (x : ℝ) (n : ℤ) :
(translate (multiplicative.of_add x))^n = translate (multiplicative.of_add $ ↑n * x) :=
by simp only [← gsmul_eq_mul, of_add_gsmul, monoid_hom.map_gpow]
@[simp] lemma translate_pow (x : ℝ) (n : ℕ) :
(translate (multiplicative.of_add x))^n = translate (multiplicative.of_add $ ↑n * x) :=
translate_gpow x n
@[simp] lemma translate_iterate (x : ℝ) (n : ℕ) :
(translate (multiplicative.of_add x))^[n] = translate (multiplicative.of_add $ ↑n * x) :=
by rw [← units_coe, ← coe_pow, ← units.coe_pow, translate_pow, units_coe]
/-!
### Commutativity with integer translations
In this section we prove that `f` commutes with translations by an integer number.
First we formulate these statements (for a natural or an integer number,
addition on the left or on the right, addition or subtraction) using `function.commute`,
then reformulate as `simp` lemmas `map_int_add` etc.
-/
lemma commute_nat_add (n : ℕ) : function.commute f ((+) n) :=
by simpa only [nsmul_one, add_left_iterate] using function.commute.iterate_right f.map_one_add n
lemma commute_add_nat (n : ℕ) : function.commute f (λ x, x + n) :=
by simp only [add_comm _ (n:ℝ), f.commute_nat_add n]
lemma commute_sub_nat (n : ℕ) : function.commute f (λ x, x - n) :=
by simpa only [sub_eq_add_neg] using
(f.commute_add_nat n).inverses_right (equiv.add_right _).right_inv (equiv.add_right _).left_inv
lemma commute_add_int : ∀ n : ℤ, function.commute f (λ x, x + n)
| (n:ℕ) := f.commute_add_nat n
| -[1+n] := by simpa only [sub_eq_add_neg] using f.commute_sub_nat (n + 1)
lemma commute_int_add (n : ℤ) : function.commute f ((+) n) :=
by simpa only [add_comm _ (n:ℝ)] using f.commute_add_int n
lemma commute_sub_int (n : ℤ) : function.commute f (λ x, x - n) :=
by simpa only [sub_eq_add_neg] using
(f.commute_add_int n).inverses_right (equiv.add_right _).right_inv (equiv.add_right _).left_inv
@[simp] lemma map_int_add (m : ℤ) (x : ℝ) : f (m + x) = m + f x :=
f.commute_int_add m x
@[simp] lemma map_add_int (x : ℝ) (m : ℤ) : f (x + m) = f x + m :=
f.commute_add_int m x
@[simp] lemma map_sub_int (x : ℝ) (n : ℤ) : f (x - n) = f x - n :=
f.commute_sub_int n x
@[simp] lemma map_add_nat (x : ℝ) (n : ℕ) : f (x + n) = f x + n :=
f.map_add_int x n
@[simp] lemma map_nat_add (n : ℕ) (x : ℝ) : f (n + x) = n + f x :=
f.map_int_add n x
@[simp] lemma map_sub_nat (x : ℝ) (n : ℕ) : f (x - n) = f x - n :=
f.map_sub_int x n
lemma map_int_of_map_zero (n : ℤ) : f n = f 0 + n :=
by rw [← f.map_add_int, zero_add]
@[simp] lemma map_fract_sub_fract_eq (x : ℝ) :
f (fract x) - fract x = f x - x :=
by rw [int.fract, f.map_sub_int, sub_sub_sub_cancel_right]
/-!
### Pointwise order on circle maps
-/
/-- Monotone circle maps form a lattice with respect to the pointwise order -/
noncomputable instance : lattice circle_deg1_lift :=
{ sup := λ f g,
{ to_fun := λ x, max (f x) (g x),
monotone' := λ x y h, max_le_max (f.mono h) (g.mono h), -- TODO: generalize to `monotone.max`
map_add_one' := λ x, by simp [max_add_add_right] },
le := λ f g, ∀ x, f x ≤ g x,
le_refl := λ f x, le_refl (f x),
le_trans := λ f₁ f₂ f₃ h₁₂ h₂₃ x, le_trans (h₁₂ x) (h₂₃ x),
le_antisymm := λ f₁ f₂ h₁₂ h₂₁, ext $ λ x, le_antisymm (h₁₂ x) (h₂₁ x),
le_sup_left := λ f g x, le_max_left (f x) (g x),
le_sup_right := λ f g x, le_max_right (f x) (g x),
sup_le := λ f₁ f₂ f₃ h₁ h₂ x, max_le (h₁ x) (h₂ x),
inf := λ f g,
{ to_fun := λ x, min (f x) (g x),
monotone' := λ x y h, min_le_min (f.mono h) (g.mono h),
map_add_one' := λ x, by simp [min_add_add_right] },
inf_le_left := λ f g x, min_le_left (f x) (g x),
inf_le_right := λ f g x, min_le_right (f x) (g x),
le_inf := λ f₁ f₂ f₃ h₂ h₃ x, le_min (h₂ x) (h₃ x) }
@[simp] lemma sup_apply (x : ℝ) : (f ⊔ g) x = max (f x) (g x) := rfl
@[simp] lemma inf_apply (x : ℝ) : (f ⊓ g) x = min (f x) (g x) := rfl
lemma iterate_monotone (n : ℕ) : monotone (λ f : circle_deg1_lift, f^[n]) :=
λ f g h, f.monotone.iterate_le_of_le h _
lemma iterate_mono {f g : circle_deg1_lift} (h : f ≤ g) (n : ℕ) : f^[n] ≤ (g^[n]) :=
iterate_monotone n h
lemma pow_mono {f g : circle_deg1_lift} (h : f ≤ g) (n : ℕ) : f^n ≤ g^n :=
λ x, by simp only [coe_pow, iterate_mono h n x]
lemma pow_monotone (n : ℕ) : monotone (λ f : circle_deg1_lift, f^n) :=
λ f g h, pow_mono h n
/-!
### Estimates on `(f * g) 0`
We prove the estimates `f 0 + ⌊g 0⌋ ≤ f (g 0) ≤ f 0 + ⌈g 0⌉` and some corollaries with added/removed
floors and ceils.
We also prove that for two semiconjugate maps `g₁`, `g₂`, the distance between `g₁ 0` and `g₂ 0`
is less than two.
-/
lemma map_le_of_map_zero (x : ℝ) : f x ≤ f 0 + ⌈x⌉ :=
calc f x ≤ f ⌈x⌉ : f.monotone $ le_ceil _
... = f 0 + ⌈x⌉ : f.map_int_of_map_zero _
lemma map_map_zero_le : f (g 0) ≤ f 0 + ⌈g 0⌉ := f.map_le_of_map_zero (g 0)
lemma floor_map_map_zero_le : ⌊f (g 0)⌋ ≤ ⌊f 0⌋ + ⌈g 0⌉ :=
calc ⌊f (g 0)⌋ ≤ ⌊f 0 + ⌈g 0⌉⌋ : floor_mono $ f.map_map_zero_le g
... = ⌊f 0⌋ + ⌈g 0⌉ : floor_add_int _ _
lemma ceil_map_map_zero_le : ⌈f (g 0)⌉ ≤ ⌈f 0⌉ + ⌈g 0⌉ :=
calc ⌈f (g 0)⌉ ≤ ⌈f 0 + ⌈g 0⌉⌉ : ceil_mono $ f.map_map_zero_le g
... = ⌈f 0⌉ + ⌈g 0⌉ : ceil_add_int _ _
lemma map_map_zero_lt : f (g 0) < f 0 + g 0 + 1 :=
calc f (g 0) ≤ f 0 + ⌈g 0⌉ : f.map_map_zero_le g
... < f 0 + (g 0 + 1) : add_lt_add_left (ceil_lt_add_one _) _
... = f 0 + g 0 + 1 : (add_assoc _ _ _).symm
lemma le_map_of_map_zero (x : ℝ) : f 0 + ⌊x⌋ ≤ f x :=
calc f 0 + ⌊x⌋ = f ⌊x⌋ : (f.map_int_of_map_zero _).symm
... ≤ f x : f.monotone $ floor_le _
lemma le_map_map_zero : f 0 + ⌊g 0⌋ ≤ f (g 0) := f.le_map_of_map_zero (g 0)
lemma le_floor_map_map_zero : ⌊f 0⌋ + ⌊g 0⌋ ≤ ⌊f (g 0)⌋ :=
calc ⌊f 0⌋ + ⌊g 0⌋ = ⌊f 0 + ⌊g 0⌋⌋ : (floor_add_int _ _).symm
... ≤ ⌊f (g 0)⌋ : floor_mono $ f.le_map_map_zero g
lemma le_ceil_map_map_zero : ⌈f 0⌉ + ⌊g 0⌋ ≤ ⌈(f * g) 0⌉ :=
calc ⌈f 0⌉ + ⌊g 0⌋ = ⌈f 0 + ⌊g 0⌋⌉ : (ceil_add_int _ _).symm
... ≤ ⌈f (g 0)⌉ : ceil_mono $ f.le_map_map_zero g
lemma lt_map_map_zero : f 0 + g 0 - 1 < f (g 0) :=
calc f 0 + g 0 - 1 = f 0 + (g 0 - 1) : add_sub_assoc _ _ _
... < f 0 + ⌊g 0⌋ : add_lt_add_left (sub_one_lt_floor _) _
... ≤ f (g 0) : f.le_map_map_zero g
lemma dist_map_map_zero_lt : dist (f 0 + g 0) (f (g 0)) < 1 :=
begin
rw [dist_comm, real.dist_eq, abs_lt, lt_sub_iff_add_lt', sub_lt_iff_lt_add', ← sub_eq_add_neg],
exact ⟨f.lt_map_map_zero g, f.map_map_zero_lt g⟩
end
lemma dist_map_zero_lt_of_semiconj {f g₁ g₂ : circle_deg1_lift} (h : function.semiconj f g₁ g₂) :
dist (g₁ 0) (g₂ 0) < 2 :=
calc dist (g₁ 0) (g₂ 0) ≤ dist (g₁ 0) (f (g₁ 0) - f 0) + dist _ (g₂ 0) : dist_triangle _ _ _
... = dist (f 0 + g₁ 0) (f (g₁ 0)) + dist (g₂ 0 + f 0) (g₂ (f 0)) :
by simp only [h.eq, real.dist_eq, sub_sub, add_comm (f 0), sub_sub_assoc_swap, abs_sub_comm
(g₂ (f 0))]
... < 2 : add_lt_add (f.dist_map_map_zero_lt g₁) (g₂.dist_map_map_zero_lt f)
lemma dist_map_zero_lt_of_semiconj_by {f g₁ g₂ : circle_deg1_lift} (h : semiconj_by f g₁ g₂) :
dist (g₁ 0) (g₂ 0) < 2 :=
dist_map_zero_lt_of_semiconj $ semiconj_by_iff_semiconj.1 h
/-!
### Limits at infinities and continuity
-/
protected lemma tendsto_at_bot : tendsto f at_bot at_bot :=
tendsto_at_bot_mono f.map_le_of_map_zero $ tendsto_at_bot_add_const_left _ _ $
tendsto_at_bot_mono (λ x, (ceil_lt_add_one x).le) $ tendsto_at_bot_add_const_right _ _ tendsto_id
protected lemma tendsto_at_top : tendsto f at_top at_top :=
tendsto_at_top_mono f.le_map_of_map_zero $ tendsto_at_top_add_const_left _ _ $
tendsto_at_top_mono (λ x, (sub_one_lt_floor x).le) $
by simpa [sub_eq_add_neg] using tendsto_at_top_add_const_right _ _ tendsto_id
lemma continuous_iff_surjective : continuous f ↔ function.surjective f :=
⟨λ h, h.surjective f.tendsto_at_top f.tendsto_at_bot, f.monotone.continuous_of_surjective⟩
/-!
### Estimates on `(f^n) x`
If we know that `f x` is `≤`/`<`/`≥`/`>`/`=` to `x + m`, then we have a similar estimate on
`f^[n] x` and `x + n * m`.
For `≤`, `≥`, and `=` we formulate both `of` (implication) and `iff` versions because implications
work for `n = 0`. For `<` and `>` we formulate only `iff` versions.
-/
lemma iterate_le_of_map_le_add_int {x : ℝ} {m : ℤ} (h : f x ≤ x + m) (n : ℕ) :
f^[n] x ≤ x + n * m :=
by simpa only [nsmul_eq_mul, add_right_iterate]
using (f.commute_add_int m).iterate_le_of_map_le f.monotone (monotone_id.add_const m) h n
lemma le_iterate_of_add_int_le_map {x : ℝ} {m : ℤ} (h : x + m ≤ f x) (n : ℕ) :
x + n * m ≤ (f^[n]) x :=
by simpa only [nsmul_eq_mul, add_right_iterate]
using (f.commute_add_int m).symm.iterate_le_of_map_le (monotone_id.add_const m) f.monotone h n
lemma iterate_eq_of_map_eq_add_int {x : ℝ} {m : ℤ} (h : f x = x + m) (n : ℕ) :
f^[n] x = x + n * m :=
by simpa only [nsmul_eq_mul, add_right_iterate]
using (f.commute_add_int m).iterate_eq_of_map_eq n h
lemma iterate_pos_le_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x ≤ x + n * m ↔ f x ≤ x + m :=
by simpa only [nsmul_eq_mul, add_right_iterate]
using (f.commute_add_int m).iterate_pos_le_iff_map_le f.monotone (strict_mono_id.add_const m) hn
lemma iterate_pos_lt_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x < x + n * m ↔ f x < x + m :=
by simpa only [nsmul_eq_mul, add_right_iterate]
using (f.commute_add_int m).iterate_pos_lt_iff_map_lt f.monotone (strict_mono_id.add_const m) hn
lemma iterate_pos_eq_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x = x + n * m ↔ f x = x + m :=
by simpa only [nsmul_eq_mul, add_right_iterate]
using (f.commute_add_int m).iterate_pos_eq_iff_map_eq f.monotone (strict_mono_id.add_const m) hn
lemma le_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
x + n * m ≤ (f^[n]) x ↔ x + m ≤ f x :=
by simpa only [not_lt] using not_congr (f.iterate_pos_lt_iff hn)
lemma lt_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
x + n * m < (f^[n]) x ↔ x + m < f x :=
by simpa only [not_le] using not_congr (f.iterate_pos_le_iff hn)
lemma mul_floor_map_zero_le_floor_iterate_zero (n : ℕ) : ↑n * ⌊f 0⌋ ≤ ⌊(f^[n] 0)⌋ :=
begin
rw [le_floor, int.cast_mul, int.cast_coe_nat, ← zero_add ((n : ℝ) * _)],
apply le_iterate_of_add_int_le_map,
simp [floor_le]
end
/-!
### Definition of translation number
-/
noncomputable theory
/-- An auxiliary sequence used to define the translation number. -/
def transnum_aux_seq (n : ℕ) : ℝ := (f^(2^n)) 0 / 2^n
/-- The translation number of a `circle_deg1_lift`, $τ(f)=\lim_{n→∞}\frac{f^n(x)-x}{n}$. We use
an auxiliary sequence `\frac{f^{2^n}(0)}{2^n}` to define `τ(f)` because some proofs are simpler
this way. -/
def translation_number : ℝ :=
lim at_top f.transnum_aux_seq
-- TODO: choose two different symbols for `circle_deg1_lift.translation_number` and the future
-- `circle_mono_homeo.rotation_number`, then make them `localized notation`s
local notation `τ` := translation_number
lemma transnum_aux_seq_def : f.transnum_aux_seq = λ n : ℕ, (f^(2^n)) 0 / 2^n := rfl
lemma translation_number_eq_of_tendsto_aux {τ' : ℝ}
(h : tendsto f.transnum_aux_seq at_top (𝓝 τ')) :
τ f = τ' :=
h.lim_eq
lemma translation_number_eq_of_tendsto₀ {τ' : ℝ}
(h : tendsto (λ n:ℕ, f^[n] 0 / n) at_top (𝓝 τ')) :
τ f = τ' :=
f.translation_number_eq_of_tendsto_aux $
by simpa [(∘), transnum_aux_seq_def, coe_pow]
using h.comp (nat.tendsto_pow_at_top_at_top_of_one_lt one_lt_two)
lemma translation_number_eq_of_tendsto₀' {τ' : ℝ}
(h : tendsto (λ n:ℕ, f^[n + 1] 0 / (n + 1)) at_top (𝓝 τ')) :
τ f = τ' :=
f.translation_number_eq_of_tendsto₀ $ (tendsto_add_at_top_iff_nat 1).1 h
lemma transnum_aux_seq_zero : f.transnum_aux_seq 0 = f 0 := by simp [transnum_aux_seq]
lemma transnum_aux_seq_dist_lt (n : ℕ) :
dist (f.transnum_aux_seq n) (f.transnum_aux_seq (n+1)) < (1 / 2) / (2^n) :=
begin
have : 0 < (2^(n+1):ℝ) := pow_pos zero_lt_two _,
rw [div_div_eq_div_mul, ← pow_succ, ← abs_of_pos this],
replace := abs_pos.2 (ne_of_gt this),
convert (div_lt_div_right this).2 ((f^(2^n)).dist_map_map_zero_lt (f^(2^n))),
simp_rw [transnum_aux_seq, real.dist_eq],
rw [← abs_div, sub_div, pow_succ', pow_succ, ← two_mul,
mul_div_mul_left _ _ (@two_ne_zero ℝ _ _),
pow_mul, sq, mul_apply]
end
lemma tendsto_translation_number_aux : tendsto f.transnum_aux_seq at_top (𝓝 $ τ f) :=
(cauchy_seq_of_le_geometric_two 1 (λ n, le_of_lt $ f.transnum_aux_seq_dist_lt n)).tendsto_lim
lemma dist_map_zero_translation_number_le : dist (f 0) (τ f) ≤ 1 :=
f.transnum_aux_seq_zero ▸ dist_le_of_le_geometric_two_of_tendsto₀ 1
(λ n, le_of_lt $ f.transnum_aux_seq_dist_lt n) f.tendsto_translation_number_aux
lemma tendsto_translation_number_of_dist_bounded_aux (x : ℕ → ℝ) (C : ℝ)
(H : ∀ n : ℕ, dist ((f^n) 0) (x n) ≤ C) :
tendsto (λ n : ℕ, x (2^n) / (2^n)) at_top (𝓝 $ τ f) :=
begin
refine f.tendsto_translation_number_aux.congr_dist (squeeze_zero (λ _, dist_nonneg) _ _),
{ exact λ n, C / 2^n },
{ intro n,
have : 0 < (2^n:ℝ) := pow_pos zero_lt_two _,
convert (div_le_div_right this).2 (H (2^n)),
rw [transnum_aux_seq, real.dist_eq, ← sub_div, abs_div, abs_of_pos this, real.dist_eq] },
{ exact mul_zero C ▸ tendsto_const_nhds.mul (tendsto_inv_at_top_zero.comp $
tendsto_pow_at_top_at_top_of_one_lt one_lt_two) }
end
lemma translation_number_eq_of_dist_bounded {f g : circle_deg1_lift} (C : ℝ)
(H : ∀ n : ℕ, dist ((f^n) 0) ((g^n) 0) ≤ C) :
τ f = τ g :=
eq.symm $ g.translation_number_eq_of_tendsto_aux $
f.tendsto_translation_number_of_dist_bounded_aux _ C H
@[simp] lemma translation_number_one : τ 1 = 0 :=
translation_number_eq_of_tendsto₀ _ $ by simp [tendsto_const_nhds]
lemma translation_number_eq_of_semiconj_by {f g₁ g₂ : circle_deg1_lift} (H : semiconj_by f g₁ g₂) :
τ g₁ = τ g₂ :=
translation_number_eq_of_dist_bounded 2 $ λ n, le_of_lt $
dist_map_zero_lt_of_semiconj_by $ H.pow_right n
lemma translation_number_eq_of_semiconj {f g₁ g₂ : circle_deg1_lift}
(H : function.semiconj f g₁ g₂) :
τ g₁ = τ g₂ :=
translation_number_eq_of_semiconj_by $ semiconj_by_iff_semiconj.2 H
lemma translation_number_mul_of_commute {f g : circle_deg1_lift} (h : commute f g) :
τ (f * g) = τ f + τ g :=
begin
have : tendsto (λ n : ℕ, ((λ k, (f^k) 0 + (g^k) 0) (2^n)) / (2^n)) at_top (𝓝 $ τ f + τ g) :=
((f.tendsto_translation_number_aux.add g.tendsto_translation_number_aux).congr $
λ n, (add_div ((f^(2^n)) 0) ((g^(2^n)) 0) ((2:ℝ)^n)).symm),
refine tendsto_nhds_unique
((f * g).tendsto_translation_number_of_dist_bounded_aux _ 1 (λ n, _))
this,
rw [h.mul_pow, dist_comm],
exact le_of_lt ((f^n).dist_map_map_zero_lt (g^n))
end
@[simp] lemma translation_number_units_inv (f : units circle_deg1_lift) :
τ ↑(f⁻¹) = -τ f :=
eq_neg_iff_add_eq_zero.2 $
by simp [← translation_number_mul_of_commute (commute.refl _).units_inv_left]
@[simp] lemma translation_number_pow :
∀ n : ℕ, τ (f^n) = n * τ f
| 0 := by simp
| (n+1) := by rw [pow_succ', translation_number_mul_of_commute (commute.pow_self f n),
translation_number_pow n, nat.cast_add_one, add_mul, one_mul]
@[simp] lemma translation_number_gpow (f : units circle_deg1_lift) :
∀ n : ℤ, τ (f ^ n : units _) = n * τ f
| (n : ℕ) := by simp [translation_number_pow f n]
| -[1+n] := by { simp, ring }
@[simp] lemma translation_number_conj_eq (f : units circle_deg1_lift) (g : circle_deg1_lift) :
τ (↑f * g * ↑(f⁻¹)) = τ g :=
(translation_number_eq_of_semiconj_by (f.mk_semiconj_by g)).symm
@[simp] lemma translation_number_conj_eq' (f : units circle_deg1_lift) (g : circle_deg1_lift) :
τ (↑(f⁻¹) * g * f) = τ g :=
translation_number_conj_eq f⁻¹ g
lemma dist_pow_map_zero_mul_translation_number_le (n:ℕ) :
dist ((f^n) 0) (n * f.translation_number) ≤ 1 :=
f.translation_number_pow n ▸ (f^n).dist_map_zero_translation_number_le
lemma tendsto_translation_number₀' :
tendsto (λ n:ℕ, (f^(n+1)) 0 / (n+1)) at_top (𝓝 $ τ f) :=
begin
refine (tendsto_iff_dist_tendsto_zero.2 $ squeeze_zero (λ _, dist_nonneg) (λ n, _)
((tendsto_const_div_at_top_nhds_0_nat 1).comp (tendsto_add_at_top_nat 1))),
dsimp,
have : (0:ℝ) < n + 1 := n.cast_add_one_pos,
rw [real.dist_eq, div_sub' _ _ _ (ne_of_gt this), abs_div, ← real.dist_eq, abs_of_pos this,
div_le_div_right this, ← nat.cast_add_one],
apply dist_pow_map_zero_mul_translation_number_le
end
lemma tendsto_translation_number₀ :
tendsto (λ n:ℕ, ((f^n) 0) / n) at_top (𝓝 $ τ f) :=
(tendsto_add_at_top_iff_nat 1).1 f.tendsto_translation_number₀'
/-- For any `x : ℝ` the sequence $\frac{f^n(x)-x}{n}$ tends to the translation number of `f`.
In particular, this limit does not depend on `x`. -/
lemma tendsto_translation_number (x : ℝ) :
tendsto (λ n:ℕ, ((f^n) x - x) / n) at_top (𝓝 $ τ f) :=
begin
rw [← translation_number_conj_eq' (translate $ multiplicative.of_add x)],
convert tendsto_translation_number₀ _,
ext n,
simp [sub_eq_neg_add, units.conj_pow']
end
lemma tendsto_translation_number' (x : ℝ) :
tendsto (λ n:ℕ, ((f^(n+1)) x - x) / (n+1)) at_top (𝓝 $ τ f) :=
(tendsto_add_at_top_iff_nat 1).2 (f.tendsto_translation_number x)
lemma translation_number_mono : monotone τ :=
λ f g h, le_of_tendsto_of_tendsto' f.tendsto_translation_number₀
g.tendsto_translation_number₀ $ λ n, div_le_div_of_le_of_nonneg (pow_mono h n 0) n.cast_nonneg
lemma translation_number_translate (x : ℝ) :
τ (translate $ multiplicative.of_add x) = x :=
translation_number_eq_of_tendsto₀' _ $
by simp [nat.cast_add_one_ne_zero, mul_div_cancel_left, tendsto_const_nhds]
lemma translation_number_le_of_le_add {z : ℝ} (hz : ∀ x, f x ≤ x + z) : τ f ≤ z :=
translation_number_translate z ▸ translation_number_mono
(λ x, trans_rel_left _ (hz x) (add_comm _ _))
lemma le_translation_number_of_add_le {z : ℝ} (hz : ∀ x, x + z ≤ f x) : z ≤ τ f :=
translation_number_translate z ▸ translation_number_mono
(λ x, trans_rel_right _ (add_comm _ _) (hz x))
lemma translation_number_le_of_le_add_int {x : ℝ} {m : ℤ} (h : f x ≤ x + m) : τ f ≤ m :=
le_of_tendsto' (f.tendsto_translation_number' x) $ λ n,
(div_le_iff' (n.cast_add_one_pos : (0 : ℝ) < _)).mpr $ sub_le_iff_le_add'.2 $
(coe_pow f (n + 1)).symm ▸ f.iterate_le_of_map_le_add_int h (n + 1)
lemma translation_number_le_of_le_add_nat {x : ℝ} {m : ℕ} (h : f x ≤ x + m) : τ f ≤ m :=
@translation_number_le_of_le_add_int f x m h
lemma le_translation_number_of_add_int_le {x : ℝ} {m : ℤ} (h : x + m ≤ f x) : ↑m ≤ τ f :=
ge_of_tendsto' (f.tendsto_translation_number' x) $ λ n,
(le_div_iff (n.cast_add_one_pos : (0 : ℝ) < _)).mpr $ le_sub_iff_add_le'.2 $
by simp only [coe_pow, mul_comm (m:ℝ), ← nat.cast_add_one, f.le_iterate_of_add_int_le_map h]
lemma le_translation_number_of_add_nat_le {x : ℝ} {m : ℕ} (h : x + m ≤ f x) : ↑m ≤ τ f :=
@le_translation_number_of_add_int_le f x m h
/-- If `f x - x` is an integer number `m` for some point `x`, then `τ f = m`.
On the circle this means that a map with a fixed point has rotation number zero. -/
lemma translation_number_of_eq_add_int {x : ℝ} {m : ℤ} (h : f x = x + m) : τ f = m :=
le_antisymm (translation_number_le_of_le_add_int f $ le_of_eq h)
(le_translation_number_of_add_int_le f $ le_of_eq h.symm)
lemma floor_sub_le_translation_number (x : ℝ) : ↑⌊f x - x⌋ ≤ τ f :=
le_translation_number_of_add_int_le f $ le_sub_iff_add_le'.1 (floor_le $ f x - x)
lemma translation_number_le_ceil_sub (x : ℝ) : τ f ≤ ⌈f x - x⌉ :=
translation_number_le_of_le_add_int f $ sub_le_iff_le_add'.1 (le_ceil $ f x - x)
lemma map_lt_of_translation_number_lt_int {n : ℤ} (h : τ f < n) (x : ℝ) : f x < x + n :=
not_le.1 $ mt f.le_translation_number_of_add_int_le $ not_le.2 h
lemma map_lt_of_translation_number_lt_nat {n : ℕ} (h : τ f < n) (x : ℝ) : f x < x + n :=
@map_lt_of_translation_number_lt_int f n h x
lemma map_lt_add_floor_translation_number_add_one (x : ℝ) : f x < x + ⌊τ f⌋ + 1 :=
begin
rw [add_assoc],
norm_cast,
refine map_lt_of_translation_number_lt_int _ _ _,
push_cast,
exact lt_floor_add_one _
end
lemma map_lt_add_translation_number_add_one (x : ℝ) : f x < x + τ f + 1 :=
calc f x < x + ⌊τ f⌋ + 1 : f.map_lt_add_floor_translation_number_add_one x
... ≤ x + τ f + 1 : by { mono*, exact floor_le (τ f) }
lemma lt_map_of_int_lt_translation_number {n : ℤ} (h : ↑n < τ f) (x : ℝ) : x + n < f x :=
not_le.1 $ mt f.translation_number_le_of_le_add_int $ not_le.2 h
lemma lt_map_of_nat_lt_translation_number {n : ℕ} (h : ↑n < τ f) (x : ℝ) : x + n < f x :=
@lt_map_of_int_lt_translation_number f n h x
/-- If `f^n x - x`, `n > 0`, is an integer number `m` for some point `x`, then
`τ f = m / n`. On the circle this means that a map with a periodic orbit has
a rational rotation number. -/
lemma translation_number_of_map_pow_eq_add_int {x : ℝ} {n : ℕ} {m : ℤ}
(h : (f^n) x = x + m) (hn : 0 < n) :
τ f = m / n :=
begin
have := (f^n).translation_number_of_eq_add_int h,
rwa [translation_number_pow, mul_comm, ← eq_div_iff] at this,
exact nat.cast_ne_zero.2 (ne_of_gt hn)
end
/-- If a predicate depends only on `f x - x` and holds for all `0 ≤ x ≤ 1`,
then it holds for all `x`. -/
lemma forall_map_sub_of_Icc (P : ℝ → Prop)
(h : ∀ x ∈ Icc (0:ℝ) 1, P (f x - x)) (x : ℝ) : P (f x - x) :=
f.map_fract_sub_fract_eq x ▸ h _ ⟨fract_nonneg _, le_of_lt (fract_lt_one _)⟩
lemma translation_number_lt_of_forall_lt_add (hf : continuous f) {z : ℝ}
(hz : ∀ x, f x < x + z) : τ f < z :=
begin
obtain ⟨x, xmem, hx⟩ : ∃ x ∈ Icc (0:ℝ) 1, ∀ y ∈ Icc (0:ℝ) 1, f y - y ≤ f x - x,
from is_compact_Icc.exists_forall_ge (nonempty_Icc.2 zero_le_one)
(hf.sub continuous_id).continuous_on,
refine lt_of_le_of_lt _ (sub_lt_iff_lt_add'.2 $ hz x),
apply translation_number_le_of_le_add,
simp only [← sub_le_iff_le_add'],
exact f.forall_map_sub_of_Icc (λ a, a ≤ f x - x) hx
end
lemma lt_translation_number_of_forall_add_lt (hf : continuous f) {z : ℝ}
(hz : ∀ x, x + z < f x) : z < τ f :=
begin
obtain ⟨x, xmem, hx⟩ : ∃ x ∈ Icc (0:ℝ) 1, ∀ y ∈ Icc (0:ℝ) 1, f x - x ≤ f y - y,
from is_compact_Icc.exists_forall_le (nonempty_Icc.2 zero_le_one)
(hf.sub continuous_id).continuous_on,
refine lt_of_lt_of_le (lt_sub_iff_add_lt'.2 $ hz x) _,
apply le_translation_number_of_add_le,
simp only [← le_sub_iff_add_le'],
exact f.forall_map_sub_of_Icc _ hx
end
/-- If `f` is a continuous monotone map `ℝ → ℝ`, `f (x + 1) = f x + 1`, then there exists `x`
such that `f x = x + τ f`. -/
lemma exists_eq_add_translation_number (hf : continuous f) :
∃ x, f x = x + τ f :=
begin
obtain ⟨a, ha⟩ : ∃ x, f x ≤ x + f.translation_number,
{ by_contradiction H,
push_neg at H,
exact lt_irrefl _ (f.lt_translation_number_of_forall_add_lt hf H) },
obtain ⟨b, hb⟩ : ∃ x, x + τ f ≤ f x,
{ by_contradiction H,
push_neg at H,
exact lt_irrefl _ (f.translation_number_lt_of_forall_lt_add hf H) },
exact intermediate_value_univ₂ hf (continuous_id.add continuous_const) ha hb
end
lemma translation_number_eq_int_iff (hf : continuous f) {m : ℤ} :
τ f = m ↔ ∃ x, f x = x + m :=
begin
refine ⟨λ h, h ▸ f.exists_eq_add_translation_number hf, _⟩,
rintros ⟨x, hx⟩,
exact f.translation_number_of_eq_add_int hx
end
lemma continuous_pow (hf : continuous f) (n : ℕ) :
continuous ⇑(f^n : circle_deg1_lift) :=
by { rw coe_pow, exact hf.iterate n }
lemma translation_number_eq_rat_iff (hf : continuous f) {m : ℤ}
{n : ℕ} (hn : 0 < n) :
τ f = m / n ↔ ∃ x, (f^n) x = x + m :=
begin
rw [eq_div_iff, mul_comm, ← translation_number_pow]; [skip, exact ne_of_gt (nat.cast_pos.2 hn)],
exact (f^n).translation_number_eq_int_iff (f.continuous_pow hf n)
end
/-- Consider two actions `f₁ f₂ : G →* circle_deg1_lift` of a group on the real line by lifts of
orientation preserving circle homeomorphisms. Suppose that for each `g : G` the homeomorphisms
`f₁ g` and `f₂ g` have equal rotation numbers. Then there exists `F : circle_deg1_lift` such that
`F * f₁ g = f₂ g * F` for all `g : G`.
This is a version of Proposition 5.4 from [Étienne Ghys, Groupes d'homeomorphismes du cercle et
cohomologie bornee][ghys87:groupes]. -/
lemma semiconj_of_group_action_of_forall_translation_number_eq
{G : Type*} [group G] (f₁ f₂ : G →* circle_deg1_lift)
(h : ∀ g, τ (f₁ g) = τ (f₂ g)) :
∃ F : circle_deg1_lift, ∀ g, semiconj F (f₁ g) (f₂ g) :=
begin
-- Equality of translation number guarantees that for each `x`
-- the set `{f₂ g⁻¹ (f₁ g x) | g : G}` is bounded above.
have : ∀ x, bdd_above (range $ λ g, f₂ g⁻¹ (f₁ g x)),
{ refine λ x, ⟨x + 2, _⟩,
rintro _ ⟨g, rfl⟩,
have : τ (f₂ g⁻¹) = -τ (f₂ g),
by rw [← monoid_hom.coe_to_hom_units, monoid_hom.map_inv,
translation_number_units_inv, monoid_hom.coe_to_hom_units],
calc f₂ g⁻¹ (f₁ g x) ≤ f₂ g⁻¹ (x + τ (f₁ g) + 1) :
mono _ (map_lt_add_translation_number_add_one _ _).le
... = f₂ g⁻¹ (x + τ (f₂ g)) + 1 :
by rw [h, map_add_one]
... ≤ x + τ (f₂ g) + τ (f₂ g⁻¹) + 1 + 1 :
by { mono, exact (map_lt_add_translation_number_add_one _ _).le }
... = x + 2 : by simp [this, bit0, add_assoc] },
-- We have a theorem about actions by `order_iso`, so we introduce auxiliary maps
-- to `ℝ ≃o ℝ`.
set F₁ := to_order_iso.comp f₁.to_hom_units,
set F₂ := to_order_iso.comp f₂.to_hom_units,
have hF₁ : ∀ g, ⇑(F₁ g) = f₁ g := λ _, rfl,
have hF₂ : ∀ g, ⇑(F₂ g) = f₂ g := λ _, rfl,
simp only [← hF₁, ← hF₂],
-- Now we apply `cSup_div_semiconj` and go back to `f₁` and `f₂`.
refine ⟨⟨_, λ x y hxy, _, λ x, _⟩, cSup_div_semiconj F₂ F₁ (λ x, _)⟩;
simp only [hF₁, hF₂, ← monoid_hom.map_inv, coe_mk],
{ refine csupr_le_csupr (this y) (λ g, _),
exact mono _ (mono _ hxy) },
{ simp only [map_add_one],
exact (map_csupr_of_continuous_at_of_monotone (continuous_at_id.add continuous_at_const)
(monotone_id.add_const (1 : ℝ)) (this x)).symm },
{ exact this x }
end
/-- If two lifts of circle homeomorphisms have the same translation number, then they are
semiconjugate by a `circle_deg1_lift`. This version uses arguments `f₁ f₂ : units circle_deg1_lift`
to assume that `f₁` and `f₂` are homeomorphisms. -/
lemma units_semiconj_of_translation_number_eq {f₁ f₂ : units circle_deg1_lift}
(h : τ f₁ = τ f₂) :
∃ F : circle_deg1_lift, semiconj F f₁ f₂ :=
begin
have : ∀ n : multiplicative ℤ, τ ((units.coe_hom _).comp (gpowers_hom _ f₁) n) =
τ ((units.coe_hom _).comp (gpowers_hom _ f₂) n),
{ intro n, simp [h] },
exact (semiconj_of_group_action_of_forall_translation_number_eq _ _ this).imp
(λ F hF, hF (multiplicative.of_add 1))
end
/-- If two lifts of circle homeomorphisms have the same translation number, then they are
semiconjugate by a `circle_deg1_lift`. This version uses assumptions `is_unit f₁` and `is_unit f₂`
to assume that `f₁` and `f₂` are homeomorphisms. -/
lemma semiconj_of_is_unit_of_translation_number_eq {f₁ f₂ : circle_deg1_lift}
(h₁ : is_unit f₁) (h₂ : is_unit f₂) (h : τ f₁ = τ f₂) :
∃ F : circle_deg1_lift, semiconj F f₁ f₂ :=
by { rcases ⟨h₁, h₂⟩ with ⟨⟨f₁, rfl⟩, ⟨f₂, rfl⟩⟩, exact units_semiconj_of_translation_number_eq h }
/-- If two lifts of circle homeomorphisms have the same translation number, then they are
semiconjugate by a `circle_deg1_lift`. This version uses assumptions `bijective f₁` and
`bijective f₂` to assume that `f₁` and `f₂` are homeomorphisms. -/
lemma semiconj_of_bijective_of_translation_number_eq {f₁ f₂ : circle_deg1_lift}
(h₁ : bijective f₁) (h₂ : bijective f₂) (h : τ f₁ = τ f₂) :
∃ F : circle_deg1_lift, semiconj F f₁ f₂ :=
semiconj_of_is_unit_of_translation_number_eq
(is_unit_iff_bijective.2 h₁) (is_unit_iff_bijective.2 h₂) h
end circle_deg1_lift
|
fbb3e5e3efa683ff1639d5321f99e1dfd4aec1cb | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/Lean/Elab/Tactic/Calc.lean | a62cb28c3fac0fa38e308bdcba2ead3b8976c469 | [
"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 | 1,369 | lean | /-
Copyright (c) 2022 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Elab.Calc
import Lean.Elab.Tactic.ElabTerm
namespace Lean.Elab.Tactic
open Meta
/-- Elaborator for the `calc` tactic mode variant. -/
@[builtin_tactic calcTactic]
def evalCalc : Tactic := fun stx => withMainContext do
let steps : TSyntax ``calcSteps := ⟨stx[1]⟩
let (val, mvarIds) ← withCollectingNewGoalsFrom (tagSuffix := `calc) do
let target ← getMainTarget
let tag ← getMainTag
runTermElab do
let mut val ← Term.elabCalcSteps steps
let mut valType ← inferType val
unless (← isDefEq valType target) do
let rec throwFailed :=
throwError "'calc' tactic failed, has type{indentExpr valType}\nbut it is expected to have type{indentExpr target}"
let some (_, _, rhs) ← Term.getCalcRelation? valType | throwFailed
let some (r, _, rhs') ← Term.getCalcRelation? target | throwFailed
let lastStep := mkApp2 r rhs rhs'
let lastStepGoal ← mkFreshExprSyntheticOpaqueMVar lastStep (tag := tag ++ `calc.step)
(val, valType) ← Term.mkCalcTrans val valType lastStepGoal lastStep
unless (← isDefEq valType target) do throwFailed
return val
(← getMainGoal).assign val
replaceMainGoal mvarIds
|
5b15463f62e33461af87109dc2eeb0dd52744537 | 6dc0c8ce7a76229dd81e73ed4474f15f88a9e294 | /tests/lean/whnfProj.lean | 24699be17a4e0ac4a4f5f648062a375dea029064 | [
"Apache-2.0"
] | permissive | williamdemeo/lean4 | 72161c58fe65c3ad955d6a3050bb7d37c04c0d54 | 6d00fcf1d6d873e195f9220c668ef9c58e9c4a35 | refs/heads/master | 1,678,305,356,877 | 1,614,708,995,000 | 1,614,708,995,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 527 | lean | import Lean
def h (x : Nat) := x
def f (x : Nat) := x + 1
def g (x : Nat) := (x, x+1).fst
open Lean
open Lean.Meta
def tst (declName : Name) : MetaM Unit := do
let c ← getConstInfo declName
lambdaTelescope c.value! fun _ b => do
trace[Meta.debug]! "1. {b}"
trace[Meta.debug]! "2. {← withReducible <| whnf b}"
trace[Meta.debug]! "3. {← withReducibleAndInstances <| whnf b}"
trace[Meta.debug]! "4. {← withDefault <| whnf b}"
pure ()
set_option trace.Meta.debug true
#eval tst `f
#eval tst `g
|
f6f391602dc428fe71ca455e45f0d579336a4ade | 4727251e0cd73359b15b664c3170e5d754078599 | /src/geometry/manifold/whitney_embedding.lean | fe0a799e38d9f6c3b6cb63c1c8b451337488ea78 | [
"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 | 6,327 | lean | /-
Copyright (c) 2021 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import geometry.manifold.diffeomorph
import geometry.manifold.instances.real
import geometry.manifold.partition_of_unity
/-!
# Whitney embedding theorem
In this file we prove a version of the Whitney embedding theorem: for any compact real manifold `M`,
for sufficiently large `n` there exists a smooth embedding `M → ℝ^n`.
## TODO
* Prove the weak Whitney embedding theorem: any `σ`-compact smooth `m`-dimensional manifold can be
embedded into `ℝ^(2m+1)`. This requires a version of Sard's theorem: for a locally Lipschitz
continuous map `f : ℝ^m → ℝ^n`, `m < n`, the range has Hausdorff dimension at most `m`, hence it
has measure zero.
## Tags
partition of unity, smooth bump function, whitney theorem
-/
universes uι uE uH uM
variables {ι : Type uι}
{E : Type uE} [normed_group E] [normed_space ℝ E] [finite_dimensional ℝ E]
{H : Type uH} [topological_space H] {I : model_with_corners ℝ E H}
{M : Type uM} [topological_space M] [charted_space H M] [smooth_manifold_with_corners I M]
open function filter finite_dimensional set
open_locale topological_space manifold classical filter big_operators
noncomputable theory
namespace smooth_bump_covering
/-!
### Whitney embedding theorem
In this section we prove a version of the Whitney embedding theorem: for any compact real manifold
`M`, for sufficiently large `n` there exists a smooth embedding `M → ℝ^n`.
-/
variables [t2_space M] [fintype ι] {s : set M} (f : smooth_bump_covering ι I M s)
/-- Smooth embedding of `M` into `(E × ℝ) ^ ι`. -/
def embedding_pi_tangent : C^∞⟮I, M; 𝓘(ℝ, ι → (E × ℝ)), ι → (E × ℝ)⟯ :=
{ to_fun := λ x i, (f i x • ext_chart_at I (f.c i) x, f i x),
cont_mdiff_to_fun := cont_mdiff_pi_space.2 $ λ i,
((f i).smooth_smul cont_mdiff_on_ext_chart_at).prod_mk_space ((f i).smooth) }
local attribute [simp] lemma embedding_pi_tangent_coe :
⇑f.embedding_pi_tangent = λ x i, (f i x • ext_chart_at I (f.c i) x, f i x) :=
rfl
lemma embedding_pi_tangent_inj_on : inj_on f.embedding_pi_tangent s :=
begin
intros x hx y hy h,
simp only [embedding_pi_tangent_coe, funext_iff] at h,
obtain ⟨h₁, h₂⟩ := prod.mk.inj_iff.1 (h (f.ind x hx)),
rw [f.apply_ind x hx] at h₂,
rw [← h₂, f.apply_ind x hx, one_smul, one_smul] at h₁,
have := f.mem_ext_chart_at_source_of_eq_one h₂.symm,
exact (ext_chart_at I (f.c _)).inj_on (f.mem_ext_chart_at_ind_source x hx) this h₁
end
lemma embedding_pi_tangent_injective (f : smooth_bump_covering ι I M) :
injective f.embedding_pi_tangent :=
injective_iff_inj_on_univ.2 f.embedding_pi_tangent_inj_on
lemma comp_embedding_pi_tangent_mfderiv (x : M) (hx : x ∈ s) :
((continuous_linear_map.fst ℝ E ℝ).comp
(@continuous_linear_map.proj ℝ _ ι (λ _, E × ℝ) _ _
(λ _, infer_instance) (f.ind x hx))).comp
(mfderiv I 𝓘(ℝ, ι → (E × ℝ)) f.embedding_pi_tangent x) =
mfderiv I I (chart_at H (f.c (f.ind x hx))) x :=
begin
set L := ((continuous_linear_map.fst ℝ E ℝ).comp
(@continuous_linear_map.proj ℝ _ ι (λ _, E × ℝ) _ _ (λ _, infer_instance) (f.ind x hx))),
have := L.has_mfderiv_at.comp x f.embedding_pi_tangent.mdifferentiable_at.has_mfderiv_at,
convert has_mfderiv_at_unique this _,
refine (has_mfderiv_at_ext_chart_at I (f.mem_chart_at_ind_source x hx)).congr_of_eventually_eq _,
refine (f.eventually_eq_one x hx).mono (λ y hy, _),
simp only [embedding_pi_tangent_coe, continuous_linear_map.coe_comp', (∘),
continuous_linear_map.coe_fst', continuous_linear_map.proj_apply],
rw [hy, pi.one_apply, one_smul]
end
lemma embedding_pi_tangent_ker_mfderiv (x : M) (hx : x ∈ s) :
(mfderiv I 𝓘(ℝ, ι → (E × ℝ)) f.embedding_pi_tangent x).ker = ⊥ :=
begin
apply bot_unique,
rw [← (mdifferentiable_chart I (f.c (f.ind x hx))).ker_mfderiv_eq_bot
(f.mem_chart_at_ind_source x hx), ← comp_embedding_pi_tangent_mfderiv],
exact linear_map.ker_le_ker_comp _ _
end
lemma embedding_pi_tangent_injective_mfderiv (x : M) (hx : x ∈ s) :
injective (mfderiv I 𝓘(ℝ, ι → (E × ℝ)) f.embedding_pi_tangent x) :=
linear_map.ker_eq_bot.1 (f.embedding_pi_tangent_ker_mfderiv x hx)
/-- Baby version of the Whitney weak embedding theorem: if `M` admits a finite covering by
supports of bump functions, then for some `n` it can be immersed into the `n`-dimensional
Euclidean space. -/
lemma exists_immersion_euclidean (f : smooth_bump_covering ι I M) :
∃ (n : ℕ) (e : M → euclidean_space ℝ (fin n)), smooth I (𝓡 n) e ∧
injective e ∧ ∀ x : M, injective (mfderiv I (𝓡 n) e x) :=
begin
set F := euclidean_space ℝ (fin $ finrank ℝ (ι → (E × ℝ))),
letI : is_noetherian ℝ (E × ℝ) := is_noetherian.iff_fg.2 infer_instance,
letI : finite_dimensional ℝ (ι → E × ℝ) := is_noetherian.iff_fg.1 infer_instance,
set eEF : (ι → (E × ℝ)) ≃L[ℝ] F :=
continuous_linear_equiv.of_finrank_eq finrank_euclidean_space_fin.symm,
refine ⟨_, eEF ∘ f.embedding_pi_tangent,
eEF.to_diffeomorph.smooth.comp f.embedding_pi_tangent.smooth,
eEF.injective.comp f.embedding_pi_tangent_injective, λ x, _⟩,
rw [mfderiv_comp _ eEF.differentiable_at.mdifferentiable_at
f.embedding_pi_tangent.mdifferentiable_at, eEF.mfderiv_eq],
exact eEF.injective.comp (f.embedding_pi_tangent_injective_mfderiv _ trivial)
end
end smooth_bump_covering
/-- Baby version of the Whitney weak embedding theorem: if `M` admits a finite covering by
supports of bump functions, then for some `n` it can be embedded into the `n`-dimensional
Euclidean space. -/
lemma exists_embedding_euclidean_of_compact [t2_space M] [compact_space M] :
∃ (n : ℕ) (e : M → euclidean_space ℝ (fin n)), smooth I (𝓡 n) e ∧
closed_embedding e ∧ ∀ x : M, injective (mfderiv I (𝓡 n) e x) :=
begin
rcases smooth_bump_covering.exists_is_subordinate I is_closed_univ (λ (x : M) _, univ_mem)
with ⟨ι, f, -⟩,
haveI := f.fintype,
rcases f.exists_immersion_euclidean with ⟨n, e, hsmooth, hinj, hinj_mfderiv⟩,
exact ⟨n, e, hsmooth, hsmooth.continuous.closed_embedding hinj, hinj_mfderiv⟩
end
|
c2663b8c5612b50edd386368ad40f346599077d3 | 02fbe05a45fda5abde7583464416db4366eedfbf | /library/init/logic.lean | 32d695768432a76a46bcfd062bbec7bb7a61d4ef | [
"Apache-2.0"
] | permissive | jasonrute/lean | cc12807e11f9ac6b01b8951a8bfb9c2eb35a0154 | 4be962c167ca442a0ec5e84472d7ff9f5302788f | refs/heads/master | 1,672,036,664,637 | 1,601,642,826,000 | 1,601,642,826,000 | 260,777,966 | 0 | 0 | Apache-2.0 | 1,588,454,819,000 | 1,588,454,818,000 | null | UTF-8 | Lean | false | false | 38,525 | lean | /-
Copyright (c) 2014 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad, Floris van Doorn
-/
prelude
import init.core
universes u v w
@[simp] lemma opt_param_eq (α : Sort u) (default : α) : opt_param α default = α :=
rfl
@[inline] def id {α : Sort u} (a : α) : α := a
def flip {α : Sort u} {β : Sort v} {φ : Sort w} (f : α → β → φ) : β → α → φ :=
λ b a, f a b
/- implication -/
def implies (a b : Prop) := a → b
/-- Implication `→` is transitive. If `P → Q` and `Q → R` then `P → R`. -/
@[trans] lemma implies.trans {p q r : Prop} (h₁ : implies p q) (h₂ : implies q r) : implies p r :=
assume hp, h₂ (h₁ hp)
def trivial : true := ⟨⟩
/-- We can't have `a` and `¬a`, that would be absurd!-/
@[inline] def absurd {a : Prop} {b : Sort v} (h₁ : a) (h₂ : ¬a) : b :=
false.rec b (h₂ h₁)
lemma not.intro {a : Prop} (h : a → false) : ¬ a :=
h
/-- Modus tollens. If an implication is true, then so is its contrapositive. -/
lemma mt {a b : Prop} (h₁ : a → b) (h₂ : ¬b) : ¬a := assume ha : a, h₂ (h₁ ha)
/- not -/
lemma not_false : ¬false := id
def non_contradictory (a : Prop) : Prop := ¬¬a
lemma non_contradictory_intro {a : Prop} (ha : a) : ¬¬a :=
assume hna : ¬a, absurd ha hna
/- false -/
@[inline] def false.elim {C : Sort u} (h : false) : C :=
false.rec C h
/- eq -/
-- proof irrelevance is built in
lemma proof_irrel {a : Prop} (h₁ h₂ : a) : h₁ = h₂ := rfl
@[simp] lemma id.def {α : Sort u} (a : α) : id a = a := rfl
@[inline] def eq.mp {α β : Sort u} : (α = β) → α → β :=
eq.rec_on
@[inline] def eq.mpr {α β : Sort u} : (α = β) → β → α :=
λ h₁ h₂, eq.rec_on (eq.symm h₁) h₂
@[elab_as_eliminator]
lemma eq.substr {α : Sort u} {p : α → Prop} {a b : α} (h₁ : b = a) : p a → p b :=
eq.subst (eq.symm h₁)
lemma congr {α : Sort u} {β : Sort v} {f₁ f₂ : α → β} {a₁ a₂ : α} (h₁ : f₁ = f₂) (h₂ : a₁ = a₂) : f₁ a₁ = f₂ a₂ :=
eq.subst h₁ (eq.subst h₂ rfl)
lemma congr_fun {α : Sort u} {β : α → Sort v} {f g : Π x, β x} (h : f = g) (a : α) : f a = g a :=
eq.subst h (eq.refl (f a))
lemma congr_arg {α : Sort u} {β : Sort v} {a₁ a₂ : α} (f : α → β) : a₁ = a₂ → f a₁ = f a₂ :=
congr rfl
lemma trans_rel_left {α : Sort u} {a b c : α} (r : α → α → Prop) (h₁ : r a b) (h₂ : b = c) : r a c :=
h₂ ▸ h₁
lemma trans_rel_right {α : Sort u} {a b c : α} (r : α → α → Prop) (h₁ : a = b) (h₂ : r b c) : r a c :=
h₁.symm ▸ h₂
lemma of_eq_true {p : Prop} (h : p = true) : p :=
h.symm ▸ trivial
lemma not_of_eq_false {p : Prop} (h : p = false) : ¬p :=
assume hp, h ▸ hp
@[inline] def cast {α β : Sort u} (h : α = β) (a : α) : β :=
eq.rec a h
lemma cast_proof_irrel {α β : Sort u} (h₁ h₂ : α = β) (a : α) : cast h₁ a = cast h₂ a := rfl
lemma cast_eq {α : Sort u} (h : α = α) (a : α) : cast h a = a := rfl
/- ne -/
@[reducible] def ne {α : Sort u} (a b : α) := ¬(a = b)
notation a ≠ b := ne a b
@[simp] lemma ne.def {α : Sort u} (a b : α) : a ≠ b = ¬ (a = b) := rfl
namespace ne
variable {α : Sort u}
variables {a b : α}
lemma intro (h : a = b → false) : a ≠ b := h
lemma elim (h : a ≠ b) : a = b → false := h
lemma irrefl (h : a ≠ a) : false := h rfl
lemma symm (h : a ≠ b) : b ≠ a :=
assume (h₁ : b = a), h (h₁.symm)
end ne
lemma false_of_ne {α : Sort u} {a : α} : a ≠ a → false := ne.irrefl
section
variables {p : Prop}
lemma ne_false_of_self : p → p ≠ false :=
assume (hp : p) (heq : p = false), heq ▸ hp
lemma ne_true_of_not : ¬p → p ≠ true :=
assume (hnp : ¬p) (heq : p = true), (heq ▸ hnp) trivial
lemma true_ne_false : ¬true = false :=
ne_false_of_self trivial
end
attribute [refl] heq.refl
section
variables {α β φ : Sort u} {a a' : α} {b b' : β} {c : φ}
lemma heq.elim {α : Sort u} {a : α} {p : α → Sort v} {b : α} (h₁ : a == b)
: p a → p b := eq.rec_on (eq_of_heq h₁)
lemma heq.subst {p : ∀ T : Sort u, T → Prop} : a == b → p α a → p β b :=
heq.rec_on
@[symm] lemma heq.symm (h : a == b) : b == a :=
heq.rec_on h (heq.refl a)
lemma heq_of_eq (h : a = a') : a == a' :=
eq.subst h (heq.refl a)
@[trans] lemma heq.trans (h₁ : a == b) (h₂ : b == c) : a == c :=
heq.subst h₂ h₁
@[trans] lemma heq_of_heq_of_eq (h₁ : a == b) (h₂ : b = b') : a == b' :=
heq.trans h₁ (heq_of_eq h₂)
@[trans] lemma heq_of_eq_of_heq (h₁ : a = a') (h₂ : a' == b) : a == b :=
heq.trans (heq_of_eq h₁) h₂
def type_eq_of_heq (h : a == b) : α = β :=
heq.rec_on h (eq.refl α)
end
lemma eq_rec_heq {α : Sort u} {φ : α → Sort v} : ∀ {a a' : α} (h : a = a') (p : φ a), (eq.rec_on h p : φ a') == p
| a _ rfl p := heq.refl p
lemma heq_of_eq_rec_left {α : Sort u} {φ : α → Sort v} : ∀ {a a' : α} {p₁ : φ a} {p₂ : φ a'} (e : a = a') (h₂ : (eq.rec_on e p₁ : φ a') = p₂), p₁ == p₂
| a _ p₁ p₂ rfl h := eq.rec_on h (heq.refl p₁)
lemma heq_of_eq_rec_right {α : Sort u} {φ : α → Sort v} : ∀ {a a' : α} {p₁ : φ a} {p₂ : φ a'} (e : a' = a) (h₂ : p₁ = eq.rec_on e p₂), p₁ == p₂
| a _ p₁ p₂ rfl h :=
have p₁ = p₂, from h,
this ▸ heq.refl p₁
lemma of_heq_true {a : Prop} (h : a == true) : a :=
of_eq_true (eq_of_heq h)
lemma eq_rec_compose : ∀ {α β φ : Sort u} (p₁ : β = φ) (p₂ : α = β) (a : α), (eq.rec_on p₁ (eq.rec_on p₂ a : β) : φ) = eq.rec_on (eq.trans p₂ p₁) a
| α _ _ rfl rfl a := rfl
lemma cast_heq : ∀ {α β : Sort u} (h : α = β) (a : α), cast h a == a
| α _ rfl a := heq.refl a
/- and -/
notation a /\ b := and a b
notation a ∧ b := and a b
variables {a b c d : Prop}
lemma and.elim (h₁ : a ∧ b) (h₂ : a → b → c) : c :=
and.rec h₂ h₁
lemma and.swap : a ∧ b → b ∧ a :=
assume ⟨ha, hb⟩, ⟨hb, ha⟩
def and.symm := @and.swap
/- or -/
notation a \/ b := or a b
notation a ∨ b := or a b
namespace or
lemma elim (h₁ : a ∨ b) (h₂ : a → c) (h₃ : b → c) : c :=
or.rec h₂ h₃ h₁
end or
lemma non_contradictory_em (a : Prop) : ¬¬(a ∨ ¬a) :=
assume not_em : ¬(a ∨ ¬a),
have neg_a : ¬a, from
assume pos_a : a, absurd (or.inl pos_a) not_em,
absurd (or.inr neg_a) not_em
def not_not_em := non_contradictory_em
lemma or.swap : a ∨ b → b ∨ a := or.rec or.inr or.inl
def or.symm := @or.swap
/- xor -/
def xor (a b : Prop) := (a ∧ ¬ b) ∨ (b ∧ ¬ a)
/- iff -/
/-- `iff P Q`, with notation `P ↔ Q`, is the proposition asserting that `P` and `Q` are equivalent,
that is, have the same truth value. -/
structure iff (a b : Prop) : Prop :=
intro :: (mp : a → b) (mpr : b → a)
notation a <-> b := iff a b
notation a ↔ b := iff a b
lemma iff.elim : ((a → b) → (b → a) → c) → (a ↔ b) → c := iff.rec
attribute [recursor 5] iff.elim
lemma iff.elim_left : (a ↔ b) → a → b := iff.mp
lemma iff.elim_right : (a ↔ b) → b → a := iff.mpr
lemma iff_iff_implies_and_implies (a b : Prop) : (a ↔ b) ↔ (a → b) ∧ (b → a) :=
iff.intro (λ h, and.intro h.mp h.mpr) (λ h, iff.intro h.left h.right)
@[refl]
lemma iff.refl (a : Prop) : a ↔ a :=
iff.intro (assume h, h) (assume h, h)
lemma iff.rfl {a : Prop} : a ↔ a :=
iff.refl a
@[trans]
lemma iff.trans (h₁ : a ↔ b) (h₂ : b ↔ c) : a ↔ c :=
iff.intro
(assume ha, iff.mp h₂ (iff.mp h₁ ha))
(assume hc, iff.mpr h₁ (iff.mpr h₂ hc))
@[symm]
lemma iff.symm (h : a ↔ b) : b ↔ a :=
iff.intro (iff.elim_right h) (iff.elim_left h)
lemma iff.comm : (a ↔ b) ↔ (b ↔ a) :=
iff.intro iff.symm iff.symm
lemma eq.to_iff {a b : Prop} (h : a = b) : a ↔ b :=
eq.rec_on h iff.rfl
lemma neq_of_not_iff {a b : Prop} : ¬(a ↔ b) → a ≠ b :=
λ h₁ h₂,
have a ↔ b, from eq.subst h₂ (iff.refl a),
absurd this h₁
lemma not_iff_not_of_iff (h₁ : a ↔ b) : ¬a ↔ ¬b :=
iff.intro
(assume (hna : ¬ a) (hb : b), hna (iff.elim_right h₁ hb))
(assume (hnb : ¬ b) (ha : a), hnb (iff.elim_left h₁ ha))
lemma of_iff_true (h : a ↔ true) : a :=
iff.mp (iff.symm h) trivial
lemma not_of_iff_false : (a ↔ false) → ¬a := iff.mp
lemma iff_true_intro (h : a) : a ↔ true :=
iff.intro
(λ hl, trivial)
(λ hr, h)
lemma iff_false_intro (h : ¬a) : a ↔ false :=
iff.intro h (false.rec a)
lemma not_non_contradictory_iff_absurd (a : Prop) : ¬¬¬a ↔ ¬a :=
iff.intro
(λ (hl : ¬¬¬a) (ha : a), hl (non_contradictory_intro ha))
absurd
def not_not_not_iff := not_non_contradictory_iff_absurd
lemma imp_congr (h₁ : a ↔ c) (h₂ : b ↔ d) : (a → b) ↔ (c → d) :=
iff.intro
(λ hab hc, iff.mp h₂ (hab (iff.mpr h₁ hc)))
(λ hcd ha, iff.mpr h₂ (hcd (iff.mp h₁ ha)))
lemma imp_congr_ctx (h₁ : a ↔ c) (h₂ : c → (b ↔ d)) : (a → b) ↔ (c → d) :=
iff.intro
(λ hab hc, have ha : a, from iff.mpr h₁ hc,
have hb : b, from hab ha,
iff.mp (h₂ hc) hb)
(λ hcd ha, have hc : c, from iff.mp h₁ ha,
have hd : d, from hcd hc,
iff.mpr (h₂ hc) hd)
lemma imp_congr_right (h : a → (b ↔ c)) : (a → b) ↔ (a → c) :=
iff.intro
(assume hab ha, iff.elim_left (h ha) (hab ha))
(assume hab ha, iff.elim_right (h ha) (hab ha))
lemma not_not_intro (ha : a) : ¬¬a :=
assume hna : ¬a, hna ha
lemma not_of_not_not_not (h : ¬¬¬a) : ¬a :=
λ ha, absurd (not_not_intro ha) h
@[simp] lemma not_true : (¬ true) ↔ false :=
iff_false_intro (not_not_intro trivial)
def not_true_iff := not_true
@[simp] lemma not_false_iff : (¬ false) ↔ true :=
iff_true_intro not_false
@[congr] lemma not_congr (h : a ↔ b) : ¬a ↔ ¬b :=
iff.intro (λ h₁ h₂, h₁ (iff.mpr h h₂)) (λ h₁ h₂, h₁ (iff.mp h h₂))
@[simp] lemma ne_self_iff_false {α : Sort u} (a : α) : (not (a = a)) ↔ false :=
iff.intro false_of_ne false.elim
@[simp] lemma eq_self_iff_true {α : Sort u} (a : α) : (a = a) ↔ true :=
iff_true_intro rfl
@[simp] lemma heq_self_iff_true {α : Sort u} (a : α) : (a == a) ↔ true :=
iff_true_intro (heq.refl a)
@[simp] lemma iff_not_self (a : Prop) : (a ↔ ¬a) ↔ false :=
iff_false_intro (λ h,
have h' : ¬a, from (λ ha, (iff.mp h ha) ha),
h' (iff.mpr h h'))
@[simp] lemma not_iff_self (a : Prop) : (¬a ↔ a) ↔ false :=
iff_false_intro (λ h,
have h' : ¬a, from (λ ha, (iff.mpr h ha) ha),
h' (iff.mp h h'))
@[simp] lemma true_iff_false : (true ↔ false) ↔ false :=
iff_false_intro (λ h, iff.mp h trivial)
@[simp] lemma false_iff_true : (false ↔ true) ↔ false :=
iff_false_intro (λ h, iff.mpr h trivial)
lemma false_of_true_iff_false : (true ↔ false) → false :=
assume h, iff.mp h trivial
lemma false_of_true_eq_false : (true = false) → false :=
assume h, h ▸ trivial
lemma true_eq_false_of_false : false → (true = false) :=
false.elim
lemma eq_comm {α : Sort u} {a b : α} : a = b ↔ b = a :=
⟨eq.symm, eq.symm⟩
/- and simp rules -/
lemma and.imp (hac : a → c) (hbd : b → d) : a ∧ b → c ∧ d :=
assume ⟨ha, hb⟩, ⟨hac ha, hbd hb⟩
def and_implies := @and.imp
@[congr] lemma and_congr (h₁ : a ↔ c) (h₂ : b ↔ d) : (a ∧ b) ↔ (c ∧ d) :=
iff.intro (and.imp (iff.mp h₁) (iff.mp h₂)) (and.imp (iff.mpr h₁) (iff.mpr h₂))
lemma and_congr_right (h : a → (b ↔ c)) : (a ∧ b) ↔ (a ∧ c) :=
iff.intro
(assume ⟨ha, hb⟩, ⟨ha, iff.elim_left (h ha) hb⟩)
(assume ⟨ha, hc⟩, ⟨ha, iff.elim_right (h ha) hc⟩)
lemma and.comm : a ∧ b ↔ b ∧ a :=
iff.intro and.swap and.swap
lemma and_comm (a b : Prop) : a ∧ b ↔ b ∧ a := and.comm
lemma and.assoc : (a ∧ b) ∧ c ↔ a ∧ (b ∧ c) :=
iff.intro
(assume ⟨⟨ha, hb⟩, hc⟩, ⟨ha, ⟨hb, hc⟩⟩)
(assume ⟨ha, ⟨hb, hc⟩⟩, ⟨⟨ha, hb⟩, hc⟩)
lemma and_assoc (a b : Prop) : (a ∧ b) ∧ c ↔ a ∧ (b ∧ c) := and.assoc
lemma and.left_comm : a ∧ (b ∧ c) ↔ b ∧ (a ∧ c) :=
iff.trans (iff.symm and.assoc) (iff.trans (and_congr and.comm (iff.refl c)) and.assoc)
lemma and_iff_left {a b : Prop} (hb : b) : (a ∧ b) ↔ a :=
iff.intro and.left (λ ha, ⟨ha, hb⟩)
lemma and_iff_right {a b : Prop} (ha : a) : (a ∧ b) ↔ b :=
iff.intro and.right (and.intro ha)
@[simp] lemma and_true (a : Prop) : a ∧ true ↔ a :=
and_iff_left trivial
@[simp] lemma true_and (a : Prop) : true ∧ a ↔ a :=
and_iff_right trivial
@[simp] lemma and_false (a : Prop) : a ∧ false ↔ false :=
iff_false_intro and.right
@[simp] lemma false_and (a : Prop) : false ∧ a ↔ false :=
iff_false_intro and.left
@[simp] lemma not_and_self (a : Prop) : (¬a ∧ a) ↔ false :=
iff_false_intro (λ h, and.elim h (λ h₁ h₂, absurd h₂ h₁))
@[simp] lemma and_not_self (a : Prop) : (a ∧ ¬a) ↔ false :=
iff_false_intro (assume ⟨h₁, h₂⟩, absurd h₁ h₂)
@[simp] lemma and_self (a : Prop) : a ∧ a ↔ a :=
iff.intro and.left (assume h, ⟨h, h⟩)
/- or simp rules -/
lemma or.imp (h₂ : a → c) (h₃ : b → d) : a ∨ b → c ∨ d :=
or.rec (λ h, or.inl (h₂ h)) (λ h, or.inr (h₃ h))
lemma or.imp_left (h : a → b) : a ∨ c → b ∨ c :=
or.imp h id
lemma or.imp_right (h : a → b) : c ∨ a → c ∨ b :=
or.imp id h
@[congr] lemma or_congr (h₁ : a ↔ c) (h₂ : b ↔ d) : (a ∨ b) ↔ (c ∨ d) :=
iff.intro (or.imp (iff.mp h₁) (iff.mp h₂)) (or.imp (iff.mpr h₁) (iff.mpr h₂))
lemma or.comm : a ∨ b ↔ b ∨ a := iff.intro or.swap or.swap
lemma or_comm (a b : Prop) : a ∨ b ↔ b ∨ a := or.comm
lemma or.assoc : (a ∨ b) ∨ c ↔ a ∨ (b ∨ c) :=
iff.intro
(or.rec (or.imp_right or.inl) (λ h, or.inr (or.inr h)))
(or.rec (λ h, or.inl (or.inl h)) (or.imp_left or.inr))
lemma or_assoc (a b : Prop) : (a ∨ b) ∨ c ↔ a ∨ (b ∨ c) :=
or.assoc
lemma or.left_comm : a ∨ (b ∨ c) ↔ b ∨ (a ∨ c) :=
iff.trans (iff.symm or.assoc) (iff.trans (or_congr or.comm (iff.refl c)) or.assoc)
theorem or_iff_right_of_imp (ha : a → b) : (a ∨ b) ↔ b :=
iff.intro (or.rec ha id) or.inr
theorem or_iff_left_of_imp (hb : b → a) : (a ∨ b) ↔ a :=
iff.intro (or.rec id hb) or.inl
@[simp] lemma or_true (a : Prop) : a ∨ true ↔ true :=
iff_true_intro (or.inr trivial)
@[simp] lemma true_or (a : Prop) : true ∨ a ↔ true :=
iff_true_intro (or.inl trivial)
@[simp] lemma or_false (a : Prop) : a ∨ false ↔ a :=
iff.intro (or.rec id false.elim) or.inl
@[simp] lemma false_or (a : Prop) : false ∨ a ↔ a :=
iff.trans or.comm (or_false a)
@[simp] lemma or_self (a : Prop) : a ∨ a ↔ a :=
iff.intro (or.rec id id) or.inl
lemma not_or {a b : Prop} : ¬ a → ¬ b → ¬ (a ∨ b)
| hna hnb (or.inl ha) := absurd ha hna
| hna hnb (or.inr hb) := absurd hb hnb
/- or resolution rulse -/
def or.resolve_left {a b : Prop} (h : a ∨ b) (na : ¬ a) : b :=
or.elim h (λ ha, absurd ha na) id
def or.neg_resolve_left {a b : Prop} (h : ¬ a ∨ b) (ha : a) : b :=
or.elim h (λ na, absurd ha na) id
def or.resolve_right {a b : Prop} (h : a ∨ b) (nb : ¬ b) : a :=
or.elim h id (λ hb, absurd hb nb)
def or.neg_resolve_right {a b : Prop} (h : a ∨ ¬ b) (hb : b) : a :=
or.elim h id (λ nb, absurd hb nb)
/- iff simp rules -/
@[simp] lemma iff_true (a : Prop) : (a ↔ true) ↔ a :=
iff.intro (assume h, iff.mpr h trivial) iff_true_intro
@[simp] lemma true_iff (a : Prop) : (true ↔ a) ↔ a :=
iff.trans iff.comm (iff_true a)
@[simp] lemma iff_false (a : Prop) : (a ↔ false) ↔ ¬ a :=
iff.intro iff.mp iff_false_intro
@[simp] lemma false_iff (a : Prop) : (false ↔ a) ↔ ¬ a :=
iff.trans iff.comm (iff_false a)
@[simp] lemma iff_self (a : Prop) : (a ↔ a) ↔ true :=
iff_true_intro iff.rfl
@[congr] lemma iff_congr (h₁ : a ↔ c) (h₂ : b ↔ d) : (a ↔ b) ↔ (c ↔ d) :=
(iff_iff_implies_and_implies a b).trans
((and_congr (imp_congr h₁ h₂) (imp_congr h₂ h₁)).trans
(iff_iff_implies_and_implies c d).symm)
/- implies simp rule -/
@[simp] lemma implies_true_iff (α : Sort u) : (α → true) ↔ true :=
iff.intro (λ h, trivial) (λ ha h, trivial)
@[simp] lemma false_implies_iff (a : Prop) : (false → a) ↔ true :=
iff.intro (λ h, trivial) (λ ha h, false.elim h)
@[simp] theorem true_implies_iff (α : Prop) : (true → α) ↔ α :=
iff.intro (λ h, h trivial) (λ h h', h)
/- exists -/
inductive Exists {α : Sort u} (p : α → Prop) : Prop
| intro (w : α) (h : p w) : Exists
attribute [intro] Exists.intro
@[pattern]
def exists.intro := @Exists.intro
notation `exists` binders `, ` r:(scoped P, Exists P) := r
notation `∃` binders `, ` r:(scoped P, Exists P) := r
lemma exists.elim {α : Sort u} {p : α → Prop} {b : Prop}
(h₁ : ∃ x, p x) (h₂ : ∀ (a : α), p a → b) : b :=
Exists.rec h₂ h₁
/- exists unique -/
def exists_unique {α : Sort u} (p : α → Prop) :=
∃ x, p x ∧ ∀ y, p y → y = x
notation `∃!` binders `, ` r:(scoped P, exists_unique P) := r
@[intro]
lemma exists_unique.intro {α : Sort u} {p : α → Prop} (w : α) (h₁ : p w) (h₂ : ∀ y, p y → y = w) :
∃! x, p x :=
exists.intro w ⟨h₁, h₂⟩
attribute [recursor 4]
lemma exists_unique.elim {α : Sort u} {p : α → Prop} {b : Prop}
(h₂ : ∃! x, p x) (h₁ : ∀ x, p x → (∀ y, p y → y = x) → b) : b :=
exists.elim h₂ (λ w hw, h₁ w (and.left hw) (and.right hw))
lemma exists_unique_of_exists_of_unique {α : Type u} {p : α → Prop}
(hex : ∃ x, p x) (hunique : ∀ y₁ y₂, p y₁ → p y₂ → y₁ = y₂) : ∃! x, p x :=
exists.elim hex (λ x px, exists_unique.intro x px (assume y, assume : p y, hunique y x this px))
lemma exists_of_exists_unique {α : Sort u} {p : α → Prop} (h : ∃! x, p x) : ∃ x, p x :=
exists.elim h (λ x hx, ⟨x, and.left hx⟩)
lemma unique_of_exists_unique {α : Sort u} {p : α → Prop}
(h : ∃! x, p x) {y₁ y₂ : α} (py₁ : p y₁) (py₂ : p y₂) : y₁ = y₂ :=
exists_unique.elim h
(assume x, assume : p x,
assume unique : ∀ y, p y → y = x,
show y₁ = y₂, from eq.trans (unique _ py₁) (eq.symm (unique _ py₂)))
/- exists, forall, exists unique congruences -/
@[congr] lemma forall_congr {α : Sort u} {p q : α → Prop} (h : ∀ a, (p a ↔ q a)) : (∀ a, p a) ↔ ∀ a, q a :=
iff.intro (λ p a, iff.mp (h a) (p a)) (λ q a, iff.mpr (h a) (q a))
lemma exists_imp_exists {α : Sort u} {p q : α → Prop} (h : ∀ a, (p a → q a)) (p : ∃ a, p a) : ∃ a, q a :=
exists.elim p (λ a hp, ⟨a, h a hp⟩)
@[congr] lemma exists_congr {α : Sort u} {p q : α → Prop} (h : ∀ a, (p a ↔ q a)) : (Exists p) ↔ ∃ a, q a :=
iff.intro
(exists_imp_exists (λ a, iff.mp (h a)))
(exists_imp_exists (λ a, iff.mpr (h a)))
@[congr] lemma exists_unique_congr {α : Sort u} {p₁ p₂ : α → Prop} (h : ∀ x, p₁ x ↔ p₂ x) : (exists_unique p₁) ↔ (∃! x, p₂ x) := --
exists_congr (λ x, and_congr (h x) (forall_congr (λ y, imp_congr (h y) iff.rfl)))
lemma forall_not_of_not_exists {α : Sort u} {p : α → Prop} : ¬(∃ x, p x) → (∀ x, ¬p x) :=
λ hne x hp, hne ⟨x, hp⟩
/- decidable -/
def decidable.to_bool (p : Prop) [h : decidable p] : bool :=
decidable.cases_on h (λ h₁, bool.ff) (λ h₂, bool.tt)
export decidable (is_true is_false to_bool)
@[simp] lemma to_bool_true_eq_tt (h : decidable true) : @to_bool true h = tt :=
decidable.cases_on h (λ h, false.elim (iff.mp not_true h)) (λ _, rfl)
@[simp] lemma to_bool_false_eq_ff (h : decidable false) : @to_bool false h = ff :=
decidable.cases_on h (λ h, rfl) (λ h, false.elim h)
instance decidable.true : decidable true :=
is_true trivial
instance decidable.false : decidable false :=
is_false not_false
-- We use "dependent" if-then-else to be able to communicate the if-then-else condition
-- to the branches
@[inline] def dite (c : Prop) [h : decidable c] {α : Sort u} : (c → α) → (¬ c → α) → α :=
λ t e, decidable.rec_on h e t
/- if-then-else -/
@[inline] def ite (c : Prop) [h : decidable c] {α : Sort u} (t e : α) : α :=
decidable.rec_on h (λ hnc, e) (λ hc, t)
namespace decidable
variables {p q : Prop}
def rec_on_true [h : decidable p] {h₁ : p → Sort u} {h₂ : ¬p → Sort u} (h₃ : p) (h₄ : h₁ h₃)
: decidable.rec_on h h₂ h₁ :=
decidable.rec_on h (λ h, false.rec _ (h h₃)) (λ h, h₄)
def rec_on_false [h : decidable p] {h₁ : p → Sort u} {h₂ : ¬p → Sort u} (h₃ : ¬p) (h₄ : h₂ h₃)
: decidable.rec_on h h₂ h₁ :=
decidable.rec_on h (λ h, h₄) (λ h, false.rec _ (h₃ h))
def by_cases {q : Sort u} [φ : decidable p] : (p → q) → (¬p → q) → q := dite _
/-- Law of Excluded Middle. -/
lemma em (p : Prop) [decidable p] : p ∨ ¬p := by_cases or.inl or.inr
lemma by_contradiction [decidable p] (h : ¬p → false) : p :=
if h₁ : p then h₁ else false.rec _ (h h₁)
lemma of_not_not [decidable p] : ¬ ¬ p → p :=
λ hnn, by_contradiction (λ hn, absurd hn hnn)
lemma not_not_iff (p) [decidable p] : (¬ ¬ p) ↔ p :=
iff.intro of_not_not not_not_intro
lemma not_and_iff_or_not (p q : Prop) [d₁ : decidable p] [d₂ : decidable q] : ¬ (p ∧ q) ↔ ¬ p ∨ ¬ q :=
iff.intro
(λ h, match d₁ with
| is_true h₁ :=
match d₂ with
| is_true h₂ := absurd (and.intro h₁ h₂) h
| is_false h₂ := or.inr h₂
end
| is_false h₁ := or.inl h₁
end)
(λ h ⟨hp, hq⟩, or.elim h (λ h, h hp) (λ h, h hq))
lemma not_or_iff_and_not (p q) [d₁ : decidable p] [d₂ : decidable q] : ¬ (p ∨ q) ↔ ¬ p ∧ ¬ q :=
iff.intro
(λ h, match d₁ with
| is_true h₁ := false.elim $ h (or.inl h₁)
| is_false h₁ :=
match d₂ with
| is_true h₂ := false.elim $ h (or.inr h₂)
| is_false h₂ := ⟨h₁, h₂⟩
end
end)
(λ ⟨np, nq⟩ h, or.elim h np nq)
end decidable
section
variables {p q : Prop}
def decidable_of_decidable_of_iff (hp : decidable p) (h : p ↔ q) : decidable q :=
if hp : p then is_true (iff.mp h hp)
else is_false (iff.mp (not_iff_not_of_iff h) hp)
def decidable_of_decidable_of_eq (hp : decidable p) (h : p = q) : decidable q :=
decidable_of_decidable_of_iff hp h.to_iff
protected def or.by_cases [decidable p] [decidable q] {α : Sort u}
(h : p ∨ q) (h₁ : p → α) (h₂ : q → α) : α :=
if hp : p then h₁ hp else
if hq : q then h₂ hq else
false.rec _ (or.elim h hp hq)
end
section
variables {p q : Prop}
instance [decidable p] [decidable q] : decidable (p ∧ q) :=
if hp : p then
if hq : q then is_true ⟨hp, hq⟩
else is_false (assume h : p ∧ q, hq (and.right h))
else is_false (assume h : p ∧ q, hp (and.left h))
instance [decidable p] [decidable q] : decidable (p ∨ q) :=
if hp : p then is_true (or.inl hp) else
if hq : q then is_true (or.inr hq) else
is_false (or.rec hp hq)
instance [decidable p] : decidable (¬p) :=
if hp : p then is_false (absurd hp) else is_true hp
instance implies.decidable [decidable p] [decidable q] : decidable (p → q) :=
if hp : p then
if hq : q then is_true (assume h, hq)
else is_false (assume h : p → q, absurd (h hp) hq)
else is_true (assume h, absurd h hp)
instance [decidable p] [decidable q] : decidable (p ↔ q) :=
if hp : p then
if hq : q then is_true ⟨λ_, hq, λ_, hp⟩
else is_false $ λh, hq (h.1 hp)
else
if hq : q then is_false $ λh, hp (h.2 hq)
else is_true $ ⟨λh, absurd h hp, λh, absurd h hq⟩
instance [decidable p] [decidable q] : decidable (xor p q) :=
if hp : p then
if hq : q then is_false (or.rec (λ ⟨_, h⟩, h hq : ¬(p ∧ ¬ q)) (λ ⟨_, h⟩, h hp : ¬(q ∧ ¬ p)))
else is_true $ or.inl ⟨hp, hq⟩
else
if hq : q then is_true $ or.inr ⟨hq, hp⟩
else is_false (or.rec (λ ⟨h, _⟩, hp h : ¬(p ∧ ¬ q)) (λ ⟨h, _⟩, hq h : ¬(q ∧ ¬ p)))
instance exists_prop_decidable {p} (P : p → Prop)
[Dp : decidable p] [DP : ∀ h, decidable (P h)] : decidable (∃ h, P h) :=
if h : p then decidable_of_decidable_of_iff (DP h)
⟨λ h2, ⟨h, h2⟩, λ⟨h', h2⟩, h2⟩ else is_false (mt (λ⟨h, _⟩, h) h)
instance forall_prop_decidable {p} (P : p → Prop)
[Dp : decidable p] [DP : ∀ h, decidable (P h)] : decidable (∀ h, P h) :=
if h : p then decidable_of_decidable_of_iff (DP h)
⟨λ h2 _, h2, λal, al h⟩ else is_true (λ h2, absurd h2 h)
end
instance {α : Sort u} [decidable_eq α] (a b : α) : decidable (a ≠ b) :=
implies.decidable
lemma bool.ff_ne_tt : ff = tt → false
.
def is_dec_eq {α : Sort u} (p : α → α → bool) : Prop := ∀ ⦃x y : α⦄, p x y = tt → x = y
def is_dec_refl {α : Sort u} (p : α → α → bool) : Prop := ∀ x, p x x = tt
open decidable
instance : decidable_eq bool
| ff ff := is_true rfl
| ff tt := is_false bool.ff_ne_tt
| tt ff := is_false (ne.symm bool.ff_ne_tt)
| tt tt := is_true rfl
def decidable_eq_of_bool_pred {α : Sort u} {p : α → α → bool} (h₁ : is_dec_eq p) (h₂ : is_dec_refl p) : decidable_eq α :=
assume x y : α,
if hp : p x y = tt then is_true (h₁ hp)
else is_false (assume hxy : x = y, absurd (h₂ y) (@eq.rec_on _ _ (λ z, ¬p z y = tt) _ hxy hp))
lemma decidable_eq_inl_refl {α : Sort u} [h : decidable_eq α] (a : α) : h a a = is_true (eq.refl a) :=
match (h a a) with
| (is_true e) := rfl
| (is_false n) := absurd rfl n
end
lemma decidable_eq_inr_neg {α : Sort u} [h : decidable_eq α] {a b : α} : Π n : a ≠ b, h a b = is_false n :=
assume n,
match (h a b) with
| (is_true e) := absurd e n
| (is_false n₁) := proof_irrel n n₁ ▸ eq.refl (is_false n)
end
/- inhabited -/
class inhabited (α : Sort u) :=
(default [] : α)
export inhabited (default)
@[inline, irreducible] def arbitrary (α : Sort u) [inhabited α] : α :=
default α
instance prop.inhabited : inhabited Prop :=
⟨true⟩
instance pi.inhabited (α : Sort u) {β : α → Sort v} [Π x, inhabited (β x)] : inhabited (Π x, β x) :=
⟨λ a, default (β a)⟩
instance : inhabited bool := ⟨ff⟩
instance : inhabited true := ⟨trivial⟩
class inductive nonempty (α : Sort u) : Prop
| intro (val : α) : nonempty
protected def nonempty.elim {α : Sort u} {p : Prop} (h₁ : nonempty α) (h₂ : α → p) : p :=
nonempty.rec h₂ h₁
instance nonempty_of_inhabited {α : Sort u} [inhabited α] : nonempty α :=
⟨default α⟩
lemma nonempty_of_exists {α : Sort u} {p : α → Prop} : (∃ x, p x) → nonempty α
| ⟨w, h⟩ := ⟨w⟩
/- subsingleton -/
class inductive subsingleton (α : Sort u) : Prop
| intro (h : ∀ a b : α, a = b) : subsingleton
protected def subsingleton.elim {α : Sort u} [h : subsingleton α] : ∀ (a b : α), a = b :=
subsingleton.rec (λ p, p) h
protected def subsingleton.helim {α β : Sort u} [h : subsingleton α] (h : α = β) : ∀ (a : α) (b : β), a == b :=
eq.rec_on h (λ a b : α, heq_of_eq (subsingleton.elim a b))
instance subsingleton_prop (p : Prop) : subsingleton p :=
⟨λ a b, proof_irrel a b⟩
instance (p : Prop) : subsingleton (decidable p) :=
subsingleton.intro (λ d₁,
match d₁ with
| (is_true t₁) := (λ d₂,
match d₂ with
| (is_true t₂) := eq.rec_on (proof_irrel t₁ t₂) rfl
| (is_false f₂) := absurd t₁ f₂
end)
| (is_false f₁) := (λ d₂,
match d₂ with
| (is_true t₂) := absurd t₂ f₁
| (is_false f₂) := eq.rec_on (proof_irrel f₁ f₂) rfl
end)
end)
protected lemma rec_subsingleton {p : Prop} [h : decidable p] {h₁ : p → Sort u} {h₂ : ¬p → Sort u}
[h₃ : Π (h : p), subsingleton (h₁ h)] [h₄ : Π (h : ¬p), subsingleton (h₂ h)]
: subsingleton (decidable.rec_on h h₂ h₁) :=
match h with
| (is_true h) := h₃ h
| (is_false h) := h₄ h
end
lemma if_pos {c : Prop} [h : decidable c] (hc : c) {α : Sort u} {t e : α} : (ite c t e) = t :=
match h with
| (is_true hc) := rfl
| (is_false hnc) := absurd hc hnc
end
lemma if_neg {c : Prop} [h : decidable c] (hnc : ¬c) {α : Sort u} {t e : α} : (ite c t e) = e :=
match h with
| (is_true hc) := absurd hc hnc
| (is_false hnc) := rfl
end
@[simp]
lemma if_t_t (c : Prop) [h : decidable c] {α : Sort u} (t : α) : (ite c t t) = t :=
match h with
| (is_true hc) := rfl
| (is_false hnc) := rfl
end
lemma implies_of_if_pos {c t e : Prop} [decidable c] (h : ite c t e) : c → t :=
assume hc, eq.rec_on (if_pos hc : ite c t e = t) h
lemma implies_of_if_neg {c t e : Prop} [decidable c] (h : ite c t e) : ¬c → e :=
assume hnc, eq.rec_on (if_neg hnc : ite c t e = e) h
lemma if_ctx_congr {α : Sort u} {b c : Prop} [dec_b : decidable b] [dec_c : decidable c]
{x y u v : α}
(h_c : b ↔ c) (h_t : c → x = u) (h_e : ¬c → y = v) :
ite b x y = ite c u v :=
match dec_b, dec_c with
| (is_false h₁), (is_false h₂) := h_e h₂
| (is_true h₁), (is_true h₂) := h_t h₂
| (is_false h₁), (is_true h₂) := absurd h₂ (iff.mp (not_iff_not_of_iff h_c) h₁)
| (is_true h₁), (is_false h₂) := absurd h₁ (iff.mpr (not_iff_not_of_iff h_c) h₂)
end
@[congr]
lemma if_congr {α : Sort u} {b c : Prop} [dec_b : decidable b] [dec_c : decidable c]
{x y u v : α}
(h_c : b ↔ c) (h_t : x = u) (h_e : y = v) :
ite b x y = ite c u v :=
@if_ctx_congr α b c dec_b dec_c x y u v h_c (λ h, h_t) (λ h, h_e)
@[simp]
lemma if_true {α : Sort u} {h : decidable true} (t e : α) : (@ite true h α t e) = t :=
if_pos trivial
@[simp]
lemma if_false {α : Sort u} {h : decidable false} (t e : α) : (@ite false h α t e) = e :=
if_neg not_false
lemma if_ctx_congr_prop {b c x y u v : Prop} [dec_b : decidable b] [dec_c : decidable c]
(h_c : b ↔ c) (h_t : c → (x ↔ u)) (h_e : ¬c → (y ↔ v)) :
ite b x y ↔ ite c u v :=
match dec_b, dec_c with
| (is_false h₁), (is_false h₂) := h_e h₂
| (is_true h₁), (is_true h₂) := h_t h₂
| (is_false h₁), (is_true h₂) := absurd h₂ (iff.mp (not_iff_not_of_iff h_c) h₁)
| (is_true h₁), (is_false h₂) := absurd h₁ (iff.mpr (not_iff_not_of_iff h_c) h₂)
end
@[congr]
lemma if_congr_prop {b c x y u v : Prop} [dec_b : decidable b] [dec_c : decidable c]
(h_c : b ↔ c) (h_t : x ↔ u) (h_e : y ↔ v) :
ite b x y ↔ ite c u v :=
if_ctx_congr_prop h_c (λ h, h_t) (λ h, h_e)
lemma if_ctx_simp_congr_prop {b c x y u v : Prop} [dec_b : decidable b]
(h_c : b ↔ c) (h_t : c → (x ↔ u)) (h_e : ¬c → (y ↔ v)) :
ite b x y ↔ (@ite c (decidable_of_decidable_of_iff dec_b h_c) Prop u v) :=
@if_ctx_congr_prop b c x y u v dec_b (decidable_of_decidable_of_iff dec_b h_c) h_c h_t h_e
@[congr]
lemma if_simp_congr_prop {b c x y u v : Prop} [dec_b : decidable b]
(h_c : b ↔ c) (h_t : x ↔ u) (h_e : y ↔ v) :
ite b x y ↔ (@ite c (decidable_of_decidable_of_iff dec_b h_c) Prop u v) :=
@if_ctx_simp_congr_prop b c x y u v dec_b h_c (λ h, h_t) (λ h, h_e)
@[simp] lemma dif_pos {c : Prop} [h : decidable c] (hc : c) {α : Sort u} {t : c → α} {e : ¬ c → α} : dite c t e = t hc :=
match h with
| (is_true hc) := rfl
| (is_false hnc) := absurd hc hnc
end
@[simp] lemma dif_neg {c : Prop} [h : decidable c] (hnc : ¬c) {α : Sort u} {t : c → α} {e : ¬ c → α} : dite c t e = e hnc :=
match h with
| (is_true hc) := absurd hc hnc
| (is_false hnc) := rfl
end
@[congr]
lemma dif_ctx_congr {α : Sort u} {b c : Prop} [dec_b : decidable b] [dec_c : decidable c]
{x : b → α} {u : c → α} {y : ¬b → α} {v : ¬c → α}
(h_c : b ↔ c)
(h_t : ∀ (h : c), x (iff.mpr h_c h) = u h)
(h_e : ∀ (h : ¬c), y (iff.mpr (not_iff_not_of_iff h_c) h) = v h) :
(@dite b dec_b α x y) = (@dite c dec_c α u v) :=
match dec_b, dec_c with
| (is_false h₁), (is_false h₂) := h_e h₂
| (is_true h₁), (is_true h₂) := h_t h₂
| (is_false h₁), (is_true h₂) := absurd h₂ (iff.mp (not_iff_not_of_iff h_c) h₁)
| (is_true h₁), (is_false h₂) := absurd h₁ (iff.mpr (not_iff_not_of_iff h_c) h₂)
end
lemma dif_ctx_simp_congr {α : Sort u} {b c : Prop} [dec_b : decidable b]
{x : b → α} {u : c → α} {y : ¬b → α} {v : ¬c → α}
(h_c : b ↔ c)
(h_t : ∀ (h : c), x (iff.mpr h_c h) = u h)
(h_e : ∀ (h : ¬c), y (iff.mpr (not_iff_not_of_iff h_c) h) = v h) :
(@dite b dec_b α x y) = (@dite c (decidable_of_decidable_of_iff dec_b h_c) α u v) :=
@dif_ctx_congr α b c dec_b (decidable_of_decidable_of_iff dec_b h_c) x u y v h_c h_t h_e
-- Remark: dite and ite are "defally equal" when we ignore the proofs.
lemma dif_eq_if (c : Prop) [h : decidable c] {α : Sort u} (t : α) (e : α) : dite c (λ h, t) (λ h, e) = ite c t e :=
match h with
| (is_true hc) := rfl
| (is_false hnc) := rfl
end
instance {c t e : Prop} [d_c : decidable c] [d_t : decidable t] [d_e : decidable e] : decidable (if c then t else e) :=
match d_c with
| (is_true hc) := d_t
| (is_false hc) := d_e
end
instance {c : Prop} {t : c → Prop} {e : ¬c → Prop} [d_c : decidable c] [d_t : ∀ h, decidable (t h)] [d_e : ∀ h, decidable (e h)] : decidable (if h : c then t h else e h) :=
match d_c with
| (is_true hc) := d_t hc
| (is_false hc) := d_e hc
end
def as_true (c : Prop) [decidable c] : Prop :=
if c then true else false
def as_false (c : Prop) [decidable c] : Prop :=
if c then false else true
def of_as_true {c : Prop} [h₁ : decidable c] (h₂ : as_true c) : c :=
match h₁, h₂ with
| (is_true h_c), h₂ := h_c
| (is_false h_c), h₂ := false.elim h₂
end
/-- Universe lifting operation -/
structure {r s} ulift (α : Type s) : Type (max s r) :=
up :: (down : α)
namespace ulift
/- Bijection between α and ulift.{v} α -/
lemma up_down {α : Type u} : ∀ (b : ulift.{v} α), up (down b) = b
| (up a) := rfl
lemma down_up {α : Type u} (a : α) : down (up.{v} a) = a := rfl
end ulift
/-- Universe lifting operation from Sort to Type -/
structure plift (α : Sort u) : Type u :=
up :: (down : α)
namespace plift
/- Bijection between α and plift α -/
lemma up_down {α : Sort u} : ∀ (b : plift α), up (down b) = b
| (up a) := rfl
lemma down_up {α : Sort u} (a : α) : down (up a) = a := rfl
end plift
/- Equalities for rewriting let-expressions -/
lemma let_value_eq {α : Sort u} {β : Sort v} {a₁ a₂ : α} (b : α → β) :
a₁ = a₂ → (let x : α := a₁ in b x) = (let x : α := a₂ in b x) :=
λ h, eq.rec_on h rfl
lemma let_value_heq {α : Sort v} {β : α → Sort u} {a₁ a₂ : α} (b : Π x : α, β x) :
a₁ = a₂ → (let x : α := a₁ in b x) == (let x : α := a₂ in b x) :=
λ h, eq.rec_on h (heq.refl (b a₁))
lemma let_body_eq {α : Sort v} {β : α → Sort u} (a : α) {b₁ b₂ : Π x : α, β x} :
(∀ x, b₁ x = b₂ x) → (let x : α := a in b₁ x) = (let x : α := a in b₂ x) :=
λ h, h a
lemma let_eq {α : Sort v} {β : Sort u} {a₁ a₂ : α} {b₁ b₂ : α → β} :
a₁ = a₂ → (∀ x, b₁ x = b₂ x) → (let x : α := a₁ in b₁ x) = (let x : α := a₂ in b₂ x) :=
λ h₁ h₂, eq.rec_on h₁ (h₂ a₁)
section relation
variables {α : Sort u} {β : Sort v} (r : β → β → Prop)
local infix `≺`:50 := r
def reflexive := ∀ x, x ≺ x
def symmetric := ∀ ⦃x y⦄, x ≺ y → y ≺ x
def transitive := ∀ ⦃x y z⦄, x ≺ y → y ≺ z → x ≺ z
def equivalence := reflexive r ∧ symmetric r ∧ transitive r
def total := ∀ x y, x ≺ y ∨ y ≺ x
def mk_equivalence (rfl : reflexive r) (symm : symmetric r) (trans : transitive r) : equivalence r :=
⟨rfl, symm, trans⟩
def irreflexive := ∀ x, ¬ x ≺ x
def anti_symmetric := ∀ ⦃x y⦄, x ≺ y → y ≺ x → x = y
def empty_relation := λ a₁ a₂ : α, false
def subrelation (q r : β → β → Prop) := ∀ ⦃x y⦄, q x y → r x y
def inv_image (f : α → β) : α → α → Prop :=
λ a₁ a₂, f a₁ ≺ f a₂
lemma inv_image.trans (f : α → β) (h : transitive r) : transitive (inv_image r f) :=
λ (a₁ a₂ a₃ : α) (h₁ : inv_image r f a₁ a₂) (h₂ : inv_image r f a₂ a₃), h h₁ h₂
lemma inv_image.irreflexive (f : α → β) (h : irreflexive r) : irreflexive (inv_image r f) :=
λ (a : α) (h₁ : inv_image r f a a), h (f a) h₁
inductive tc {α : Sort u} (r : α → α → Prop) : α → α → Prop
| base : ∀ a b, r a b → tc a b
| trans : ∀ a b c, tc a b → tc b c → tc a c
end relation
section binary
variables {α : Type u} {β : Type v}
variable f : α → α → α
variable inv : α → α
variable one : α
local notation a * b := f a b
local notation a ⁻¹ := inv a
variable g : α → α → α
local notation a + b := g a b
def commutative := ∀ a b, a * b = b * a
def associative := ∀ a b c, (a * b) * c = a * (b * c)
def left_identity := ∀ a, one * a = a
def right_identity := ∀ a, a * one = a
def right_inverse := ∀ a, a * a⁻¹ = one
def left_cancelative := ∀ a b c, a * b = a * c → b = c
def right_cancelative := ∀ a b c, a * b = c * b → a = c
def left_distributive := ∀ a b c, a * (b + c) = a * b + a * c
def right_distributive := ∀ a b c, (a + b) * c = a * c + b * c
def right_commutative (h : β → α → β) := ∀ b a₁ a₂, h (h b a₁) a₂ = h (h b a₂) a₁
def left_commutative (h : α → β → β) := ∀ a₁ a₂ b, h a₁ (h a₂ b) = h a₂ (h a₁ b)
lemma left_comm : commutative f → associative f → left_commutative f :=
assume hcomm hassoc, assume a b c, calc
a*(b*c) = (a*b)*c : eq.symm (hassoc a b c)
... = (b*a)*c : hcomm a b ▸ rfl
... = b*(a*c) : hassoc b a c
lemma right_comm : commutative f → associative f → right_commutative f :=
assume hcomm hassoc, assume a b c, calc
(a*b)*c = a*(b*c) : hassoc a b c
... = a*(c*b) : hcomm b c ▸ rfl
... = (a*c)*b : eq.symm (hassoc a c b)
end binary
|
96c2b74f484edfbf9966f5c9a80cb58db3562218 | 74addaa0e41490cbaf2abd313a764c96df57b05d | /Mathlib/tactic/solve_by_elim_auto.lean | 0dabf3936740bcce1fddf684e174f3f2492e7aa3 | [] | 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 | 9,497 | lean | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Scott Morrison
-/
import Mathlib.PrePort
import Mathlib.Lean3Lib.init.default
import Mathlib.tactic.core
import Mathlib.PostPort
namespace Mathlib
/-!
# solve_by_elim
A depth-first search backwards reasoner.
`solve_by_elim` takes a list of lemmas, and repeating tries to `apply` these against
the goals, recursively acting on any generated subgoals.
It accepts a variety of configuration options described below, enabling
* backtracking across multiple goals,
* pruning the search tree, and
* invoking other tactics before or after trying to apply lemmas.
At present it has no "premise selection", and simply tries the supplied lemmas in order
at each step of the search.
-/
namespace tactic
namespace solve_by_elim
/--
`mk_assumption_set` builds a collection of lemmas for use in
the backtracking search in `solve_by_elim`.
* By default, it includes all local hypotheses, along with `rfl`, `trivial`, `congr_fun` and
`congr_arg`.
* The flag `no_dflt` removes these.
* The argument `hs` is a list of `simp_arg_type`s,
and can be used to add, or remove, lemmas or expressions from the set.
* The argument `attr : list name` adds all lemmas tagged with one of a specified list of attributes.
`mk_assumption_set` returns not a `list expr`, but a `list (tactic expr) × tactic (list expr)`.
There are two separate problems that need to be solved.
### Relevant local hypotheses
`solve_by_elim*` works with multiple goals,
and we need to use separate sets of local hypotheses for each goal.
The second component of the returned value provides these local hypotheses.
(Essentially using `local_context`, along with some filtering to remove hypotheses
that have been explicitly removed via `only` or `[-h]`.)
### Stuck metavariables
Lemmas with implicit arguments would be filled in with metavariables if we created the
`expr` objects immediately, so instead we return thunks that generate the expressions
on demand. This is the first component, with type `list (tactic expr)`.
As an example, we have `def rfl : ∀ {α : Sort u} {a : α}, a = a`, which on elaboration will become
`@rfl ?m_1 ?m_2`.
Because `solve_by_elim` works by repeated application of lemmas against subgoals,
the first time such a lemma is successfully applied,
those metavariables will be unified, and thereafter have fixed values.
This would make it impossible to apply the lemma
a second time with different values of the metavariables.
See https://github.com/leanprover-community/mathlib/issues/2269
As an optimisation, after we build the list of `tactic expr`s, we actually run them, and replace any
that do not in fact produce metavariables with a simple `return` tactic.
-/
-- We lock the tactic state so that any spurious goals generated during
-- elaboration of pre-expressions are discarded
/--
Configuration options for `solve_by_elim`.
* `accept : list expr → tactic unit` determines whether the current branch should be explored.
At each step, before the lemmas are applied,
`accept` is passed the proof terms for the original goals,
as reported by `get_goals` when `solve_by_elim` started.
These proof terms may be metavariables (if no progress has been made on that goal)
or may contain metavariables at some leaf nodes
(if the goal has been partially solved by previous `apply` steps).
If the `accept` tactic fails `solve_by_elim` aborts searching this branch and backtracks.
By default `accept := λ _, skip` always succeeds.
(There is an example usage in `tests/solve_by_elim.lean`.)
* `pre_apply : tactic unit` specifies an additional tactic to run before each round of `apply`.
* `discharger : tactic unit` specifies an additional tactic to apply on subgoals
for which no lemma applies.
If that tactic succeeds, `solve_by_elim` will continue applying lemmas on resulting goals.
-/
/--
A helper function for trace messages, prepending '....' depending on the current search depth.
-/
/-- A helper function to generate trace messages on successful applications. -/
/-- A helper function to generate trace messages on unsuccessful applications. -/
/--
A helper function to generate the tactic that print trace messages.
This function exists to ensure the target is pretty printed only as necessary.
-/
/--
The internal implementation of `solve_by_elim`, with a limiting counter.
-/
/--
Arguments for `solve_by_elim`:
* By default `solve_by_elim` operates only on the first goal,
but with `backtrack_all_goals := true`, it operates on all goals at once,
backtracking across goals as needed,
and only succeeds if it discharges all goals.
* `lemmas` specifies the list of lemmas to use in the backtracking search.
If `none`, `solve_by_elim` uses the local hypotheses,
along with `rfl`, `trivial`, `congr_arg`, and `congr_fun`.
* `lemma_thunks` provides the lemmas as a list of `tactic expr`,
which are used to regenerate the `expr` objects to avoid binding metavariables.
It should not usually be specified by the user.
(If both `lemmas` and `lemma_thunks` are specified, only `lemma_thunks` is used.)
* `ctx_thunk` is for internal use only: it returns the local hypotheses which will be used.
* `max_depth` bounds the depth of the search.
-/
/--
If no lemmas have been specified, generate the default set
(local hypotheses, along with `rfl`, `trivial`, `congr_arg`, and `congr_fun`).
-/
end solve_by_elim
/--
`solve_by_elim` repeatedly tries `apply`ing a lemma
from the list of assumptions (passed via the `opt` argument),
recursively operating on any generated subgoals, backtracking as necessary.
`solve_by_elim` succeeds only if it discharges the goal.
(By default, `solve_by_elim` focuses on the first goal, and only attempts to solve that.
With the option `backtrack_all_goals := tt`,
it attempts to solve all goals, and only succeeds if it does so.
With `backtrack_all_goals := tt`, `solve_by_elim` will backtrack a solution it has found for
one goal if it then can't discharge other goals.)
If passed an empty list of assumptions, `solve_by_elim` builds a default set
as per the interactive tactic, using the `local_context` along with
`rfl`, `trivial`, `congr_arg`, and `congr_fun`.
To pass a particular list of assumptions, use the `lemmas` field
in the configuration argument. This expects an
`option (list expr)`. In certain situations it may be necessary to instead use the
`lemma_thunks` field, which expects a `option (list (tactic expr))`.
This allows for regenerating metavariables
for each application, which might otherwise get stuck.
See also the simpler tactic `apply_rules`, which does not perform backtracking.
-/
namespace interactive
/--
`apply_assumption` looks for an assumption of the form `... → ∀ _, ... → head`
where `head` matches the current goal.
If this fails, `apply_assumption` will call `symmetry` and try again.
If this also fails, `apply_assumption` will call `exfalso` and try again,
so that if there is an assumption of the form `P → ¬ Q`, the new tactic state
will have two goals, `P` and `Q`.
Optional arguments:
- `lemmas`: a list of expressions to apply, instead of the local constants
- `tac`: a tactic to run on each subgoal after applying an assumption; if
this tactic fails, the corresponding assumption will be rejected and
the next one will be attempted.
-/
/--
`solve_by_elim` calls `apply` on the main goal to find an assumption whose head matches
and then repeatedly calls `apply` on the generated subgoals until no subgoals remain,
performing at most `max_depth` recursive steps.
`solve_by_elim` discharges the current goal or fails.
`solve_by_elim` performs back-tracking if subgoals can not be solved.
By default, the assumptions passed to `apply` are the local context, `rfl`, `trivial`,
`congr_fun` and `congr_arg`.
The assumptions can be modified with similar syntax as for `simp`:
* `solve_by_elim [h₁, h₂, ..., hᵣ]` also applies the named lemmas.
* `solve_by_elim with attr₁ ... attrᵣ` also applies all lemmas tagged with the specified attributes.
* `solve_by_elim only [h₁, h₂, ..., hᵣ]` does not include the local context,
`rfl`, `trivial`, `congr_fun`, or `congr_arg` unless they are explicitly included.
* `solve_by_elim [-id_1, ... -id_n]` uses the default assumptions, removing the specified ones.
`solve_by_elim*` tries to solve all goals together, using backtracking if a solution for one goal
makes other goals impossible.
optional arguments passed via a configuration argument as `solve_by_elim { ... }`
- max_depth: number of attempts at discharging generated sub-goals
- discharger: a subsidiary tactic to try at each step when no lemmas apply
(e.g. `cc` may be helpful).
- pre_apply: a subsidiary tactic to run at each step before applying lemmas (e.g. `intros`).
- accept: a subsidiary tactic `list expr → tactic unit` that at each step,
before any lemmas are applied, is passed the original proof terms
as reported by `get_goals` when `solve_by_elim` started
(but which may by now have been partially solved by previous `apply` steps).
If the `accept` tactic fails,
`solve_by_elim` will abort searching the current branch and backtrack.
This may be used to filter results, either at every step of the search,
or filtering complete results
(by testing for the absence of metavariables, and then the filtering condition).
-/
end Mathlib |
1011db510e8131586c11b2bdf81e3b64b53b8c12 | 618003631150032a5676f229d13a079ac875ff77 | /src/tactic/omega/find_scalars.lean | aa1aa22653f7ebb12a0dcec09009ec2a3a1f1bd8 | [
"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 | 3,040 | lean | /- Copyright (c) 2019 Seul Baek. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Seul Baek
Tactic for performing Fourier–Motzkin elimination to find
a contradictory linear combination of input constraints. -/
import tactic.omega.term
import data.list.min_max
open list.func
namespace omega
/-- Divide linear combinations into three groups by the coefficient of the
`m`th variable in their resultant terms: negative, zero, or positive. -/
meta def trisect (m : nat) :
list (list nat × term) → (list (list nat × term) ×
list (list nat × term) × list (list nat × term))
| [] := ([],[],[])
| ((p,t)::pts) :=
let (neg,zero,pos) := trisect pts in
if get m t.snd < 0
then ((p,t)::neg,zero,pos)
else if get m t.snd = 0
then (neg,(p,t)::zero,pos)
else (neg,zero,(p,t)::pos)
/-- Use two linear combinations to obtain a third linear combination
whose resultant term does not include the `m`th variable. -/
meta def elim_var_aux (m : nat) :
((list nat × term) × (list nat × term)) → tactic (list nat × term)
| ((p1,t1), (p2,t2)) :=
let n := int.nat_abs (get m t1.snd) in
let o := int.nat_abs (get m t2.snd) in
let lcm := (nat.lcm n o) in
let n' := lcm / n in
let o' := lcm / o in
return (add (p1.map ((*) n')) (p2.map ((*) o')),
term.add (t1.mul n') (t2.mul o'))
/-- Use two lists of linear combinations (one in which the resultant terms
include occurrences of the `m`th variable with positive coefficients,
and one with negative coefficients) and linearly combine them in every
possible way that eliminates the `m`th variable. -/
meta def elim_var (m : nat) (neg pos : list (list nat × term)) :
tactic (list (list nat × term)) :=
let pairs := list.product neg pos in
monad.mapm (elim_var_aux m) pairs
/-- Search through a list of (linear combination × resultant term) pairs,
find the first pair whose resultant term has a negative constant term,
and return its linear combination -/
meta def find_neg_const : list (list nat × term) → tactic (list nat)
| [] := tactic.failed
| ((π,⟨c,_⟩)::l) := if c < 0 then return π else find_neg_const l
/-- First, eliminate all variables by Fourier–Motzkin elimination.
When all variables have been eliminated, find and return the
linear combination which produces a constraint of the form
`0 < k + t` such that `k` is the constant term of the RHS and `k < 0`. -/
meta def find_scalars_core : nat → list (list nat × term) → tactic (list nat)
| 0 pts := find_neg_const pts
| (m+1) pts :=
let (neg,zero,pos) := trisect m pts in
do new ← elim_var m neg pos,
find_scalars_core m (new ++ zero)
/-- Perform Fourier–Motzkin elimination to find a contradictory
linear combination of input constraints. -/
meta def find_scalars (ts : list term) : tactic (list nat) :=
find_scalars_core
(ts.map (λ t : term, t.snd.length)).maximum.iget
(ts.map_with_index (λ m t, (list.func.set 1 [] m, t)))
end omega
|
b093b8cdcc792890143549c4171e6b79811437de | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/ring_theory/polynomial/basic.lean | c708f8ce63163590ec2701c486d061b1ca657839 | [
"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 | 41,830 | lean | /-
Copyright (c) 2019 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import algebra.char_p.basic
import data.mv_polynomial.comm_ring
import data.mv_polynomial.equiv
import data.polynomial.field_division
import ring_theory.principal_ideal_domain
import ring_theory.polynomial.content
/-!
# Ring-theoretic supplement of data.polynomial.
## Main results
* `mv_polynomial.integral_domain`:
If a ring is an integral domain, then so is its polynomial ring over finitely many variables.
* `polynomial.is_noetherian_ring`:
Hilbert basis theorem, that if a ring is noetherian then so is its polynomial ring.
* `polynomial.wf_dvd_monoid`:
If an integral domain is a `wf_dvd_monoid`, then so is its polynomial ring.
* `polynomial.unique_factorization_monoid`:
If an integral domain is a `unique_factorization_monoid`, then so is its polynomial ring.
-/
noncomputable theory
open_locale classical big_operators
universes u v w
namespace polynomial
instance {R : Type u} [semiring R] (p : ℕ) [h : char_p R p] : char_p (polynomial R) p :=
let ⟨h⟩ := h in ⟨λ n, by rw [← C.map_nat_cast, ← C_0, C_inj, h]⟩
variables (R : Type u) [comm_ring R]
/-- The `R`-submodule of `R[X]` consisting of polynomials of degree ≤ `n`. -/
def degree_le (n : with_bot ℕ) : submodule R (polynomial R) :=
⨅ k : ℕ, ⨅ h : ↑k > n, (lcoeff R k).ker
/-- The `R`-submodule of `R[X]` consisting of polynomials of degree < `n`. -/
def degree_lt (n : ℕ) : submodule R (polynomial R) :=
⨅ k : ℕ, ⨅ h : k ≥ n, (lcoeff R k).ker
variable {R}
theorem mem_degree_le {n : with_bot ℕ} {f : polynomial R} :
f ∈ degree_le R n ↔ degree f ≤ n :=
by simp only [degree_le, submodule.mem_infi, degree_le_iff_coeff_zero, linear_map.mem_ker]; refl
@[mono] theorem degree_le_mono {m n : with_bot ℕ} (H : m ≤ n) :
degree_le R m ≤ degree_le R n :=
λ f hf, mem_degree_le.2 (le_trans (mem_degree_le.1 hf) H)
theorem degree_le_eq_span_X_pow {n : ℕ} :
degree_le R n = submodule.span R ↑((finset.range (n+1)).image (λ n, (X : polynomial R)^n)) :=
begin
apply le_antisymm,
{ intros p hp, replace hp := mem_degree_le.1 hp,
rw [← polynomial.sum_monomial_eq p, polynomial.sum],
refine submodule.sum_mem _ (λ k hk, _),
show monomial _ _ ∈ _,
have := with_bot.coe_le_coe.1 (finset.sup_le_iff.1 hp k hk),
rw [monomial_eq_C_mul_X, C_mul'],
refine submodule.smul_mem _ _ (submodule.subset_span $ finset.mem_coe.2 $
finset.mem_image.2 ⟨_, finset.mem_range.2 (nat.lt_succ_of_le this), rfl⟩) },
rw [submodule.span_le, finset.coe_image, set.image_subset_iff],
intros k hk, apply mem_degree_le.2,
exact (degree_X_pow_le _).trans
(with_bot.coe_le_coe.2 $ nat.le_of_lt_succ $ finset.mem_range.1 hk)
end
theorem mem_degree_lt {n : ℕ} {f : polynomial R} :
f ∈ degree_lt R n ↔ degree f < n :=
by { simp_rw [degree_lt, submodule.mem_infi, linear_map.mem_ker, degree,
finset.sup_lt_iff (with_bot.bot_lt_coe n), mem_support_iff, with_bot.some_eq_coe,
with_bot.coe_lt_coe, lt_iff_not_ge', ne, not_imp_not], refl }
@[mono] theorem degree_lt_mono {m n : ℕ} (H : m ≤ n) :
degree_lt R m ≤ degree_lt R n :=
λ f hf, mem_degree_lt.2 (lt_of_lt_of_le (mem_degree_lt.1 hf) $ with_bot.coe_le_coe.2 H)
theorem degree_lt_eq_span_X_pow {n : ℕ} :
degree_lt R n = submodule.span R ↑((finset.range n).image (λ n, X^n) : finset (polynomial R)) :=
begin
apply le_antisymm,
{ intros p hp, replace hp := mem_degree_lt.1 hp,
rw [← polynomial.sum_monomial_eq p, polynomial.sum],
refine submodule.sum_mem _ (λ k hk, _),
show monomial _ _ ∈ _,
have := with_bot.coe_lt_coe.1 ((finset.sup_lt_iff $ with_bot.bot_lt_coe n).1 hp k hk),
rw [monomial_eq_C_mul_X, C_mul'],
refine submodule.smul_mem _ _ (submodule.subset_span $ finset.mem_coe.2 $
finset.mem_image.2 ⟨_, finset.mem_range.2 this, rfl⟩) },
rw [submodule.span_le, finset.coe_image, set.image_subset_iff],
intros k hk, apply mem_degree_lt.2,
exact lt_of_le_of_lt (degree_X_pow_le _) (with_bot.coe_lt_coe.2 $ finset.mem_range.1 hk)
end
/-- The first `n` coefficients on `degree_lt n` form a linear equivalence with `fin n → F`. -/
def degree_lt_equiv (F : Type*) [field F] (n : ℕ) : degree_lt F n ≃ₗ[F] (fin n → F) :=
{ to_fun := λ p n, (↑p : polynomial F).coeff n,
inv_fun := λ f, ⟨∑ i : fin n, monomial i (f i),
(degree_lt F n).sum_mem (λ i _, mem_degree_lt.mpr (lt_of_le_of_lt
(degree_monomial_le i (f i)) (with_bot.coe_lt_coe.mpr i.is_lt)))⟩,
map_add' := λ p q, by { ext, rw [submodule.coe_add, coeff_add], refl },
map_smul' := λ x p, by { ext, rw [submodule.coe_smul, coeff_smul], refl },
left_inv :=
begin
rintro ⟨p, hp⟩, ext1,
simp only [submodule.coe_mk],
by_cases hp0 : p = 0,
{ subst hp0, simp only [coeff_zero, linear_map.map_zero, finset.sum_const_zero] },
rw [mem_degree_lt, degree_eq_nat_degree hp0, with_bot.coe_lt_coe] at hp,
conv_rhs { rw [p.as_sum_range' n hp, ← fin.sum_univ_eq_sum_range] },
end,
right_inv :=
begin
intro f, ext i,
simp only [finset_sum_coeff, submodule.coe_mk],
rw [finset.sum_eq_single i, coeff_monomial, if_pos rfl],
{ rintro j - hji, rw [coeff_monomial, if_neg], rwa [← subtype.ext_iff] },
{ intro h, exact (h (finset.mem_univ _)).elim }
end }
local attribute [instance] subset.ring
/-- The finset of nonzero coefficients of a polynomial. -/
def frange (p : polynomial R) : finset R :=
finset.image (λ n, p.coeff n) p.support
lemma frange_zero : frange (0 : polynomial R) = ∅ :=
rfl
lemma mem_frange_iff {p : polynomial R} {c : R} :
c ∈ p.frange ↔ ∃ n ∈ p.support, c = p.coeff n :=
by simp [frange, eq_comm]
lemma frange_one : frange (1 : polynomial R) ⊆ {1} :=
begin
simp [frange, finset.image_subset_iff],
simp only [← C_1, coeff_C],
assume n hn,
simp only [exists_prop, ite_eq_right_iff, not_forall] at hn,
simp [hn],
end
lemma coeff_mem_frange (p : polynomial R) (n : ℕ) (h : p.coeff n ≠ 0) :
p.coeff n ∈ p.frange :=
begin
simp only [frange, exists_prop, mem_support_iff, finset.mem_image, ne.def],
exact ⟨n, h, rfl⟩,
end
/-- Given a polynomial, return the polynomial whose coefficients are in
the ring closure of the original coefficients. -/
def restriction (p : polynomial R) : polynomial (ring.closure (↑p.frange : set R)) :=
∑ i in p.support, monomial i (⟨p.coeff i,
if H : p.coeff i = 0 then H.symm ▸ is_add_submonoid.zero_mem
else ring.subset_closure (p.coeff_mem_frange _ H)⟩ : (ring.closure (↑p.frange : set R)))
@[simp] theorem coeff_restriction {p : polynomial R} {n : ℕ} :
↑(coeff (restriction p) n) = coeff p n :=
begin
simp only [restriction, coeff_monomial, finset_sum_coeff, mem_support_iff, finset.sum_ite_eq',
ne.def, ite_not],
split_ifs,
{ rw h, refl },
{ refl }
end
@[simp] theorem coeff_restriction' {p : polynomial R} {n : ℕ} :
(coeff (restriction p) n).1 = coeff p n :=
coeff_restriction
@[simp] lemma support_restriction (p : polynomial R) :
support (restriction p) = support p :=
begin
ext i,
simp only [mem_support_iff, not_iff_not, ne.def],
conv_rhs { rw [← coeff_restriction] },
exact ⟨λ H, by { rw H, refl }, λ H, subtype.coe_injective H⟩
end
section
local attribute [instance] algebra.of_is_subring subring.domain subset.comm_ring
@[simp] theorem map_restriction (p : polynomial R) : p.restriction.map (algebra_map _ _) = p :=
ext $ λ n, by rw [coeff_map, algebra.is_subring_algebra_map_apply, coeff_restriction]
end
@[simp] theorem degree_restriction {p : polynomial R} : (restriction p).degree = p.degree :=
by simp [degree]
@[simp] theorem nat_degree_restriction {p : polynomial R} :
(restriction p).nat_degree = p.nat_degree :=
by simp [nat_degree]
@[simp] theorem monic_restriction {p : polynomial R} : monic (restriction p) ↔ monic p :=
begin
simp_rw [monic, leading_coeff, nat_degree_restriction, ← coeff_restriction],
exact ⟨λ H, by { rw H, refl }, λ H, subtype.coe_injective H⟩
end
@[simp] theorem restriction_zero : restriction (0 : polynomial R) = 0 :=
by simp only [restriction, finset.sum_empty, support_zero]
@[simp] theorem restriction_one : restriction (1 : polynomial R) = 1 :=
ext $ λ i, subtype.eq $ by rw [coeff_restriction', coeff_one, coeff_one]; split_ifs; refl
variables {S : Type v} [ring S] {f : R →+* S} {x : S}
theorem eval₂_restriction {p : polynomial R} :
eval₂ f x p = eval₂ (f.comp (is_subring.subtype _)) x p.restriction :=
begin
simp_rw [eval₂_eq_sum, sum, support_restriction, ← coeff_restriction],
refl
end
section to_subring
variables (p : polynomial R) (T : set R) [is_subring T]
/-- Given a polynomial `p` and a subring `T` that contains the coefficients of `p`,
return the corresponding polynomial whose coefficients are in `T. -/
def to_subring (hp : ↑p.frange ⊆ T) : polynomial T :=
∑ i in p.support, monomial i (⟨p.coeff i,
if H : p.coeff i = 0 then H.symm ▸ is_add_submonoid.zero_mem
else hp (p.coeff_mem_frange _ H)⟩ : T)
variables (hp : ↑p.frange ⊆ T)
include hp
@[simp] theorem coeff_to_subring {n : ℕ} : ↑(coeff (to_subring p T hp) n) = coeff p n :=
begin
simp only [to_subring, coeff_monomial, finset_sum_coeff, mem_support_iff, finset.sum_ite_eq',
ne.def, ite_not],
split_ifs,
{ rw h, refl },
{ refl }
end
@[simp] theorem coeff_to_subring' {n : ℕ} : (coeff (to_subring p T hp) n).1 = coeff p n :=
coeff_to_subring _ _ hp
@[simp] lemma support_to_subring :
support (to_subring p T hp) = support p :=
begin
ext i,
simp only [mem_support_iff, not_iff_not, ne.def],
conv_rhs { rw [← coeff_to_subring p T hp] },
exact ⟨λ H, by { rw H, refl }, λ H, subtype.coe_injective H⟩
end
@[simp] theorem degree_to_subring : (to_subring p T hp).degree = p.degree :=
by simp [degree]
@[simp] theorem nat_degree_to_subring : (to_subring p T hp).nat_degree = p.nat_degree :=
by simp [nat_degree]
@[simp] theorem monic_to_subring : monic (to_subring p T hp) ↔ monic p :=
begin
simp_rw [monic, leading_coeff, nat_degree_to_subring, ← coeff_to_subring p T hp],
exact ⟨λ H, by { rw H, refl }, λ H, subtype.coe_injective H⟩
end
omit hp
@[simp] theorem to_subring_zero : to_subring (0 : polynomial R) T (by simp [frange_zero]) = 0 :=
by { ext i, simp }
@[simp] theorem to_subring_one : to_subring (1 : polynomial R) T
(set.subset.trans frange_one $finset.singleton_subset_set_iff.2 is_submonoid.one_mem) = 1 :=
ext $ λ i, subtype.eq $ by rw [coeff_to_subring', coeff_one, coeff_one]; split_ifs; refl
@[simp] theorem map_to_subring : (p.to_subring T hp).map (is_subring.subtype T) = p :=
by { ext n, simp [coeff_map] }
end to_subring
variables (T : set R) [is_subring T]
/-- Given a polynomial whose coefficients are in some subring, return
the corresponding polynomial whose coefficients are in the ambient ring. -/
def of_subring (p : polynomial T) : polynomial R :=
∑ i in p.support, monomial i (p.coeff i : R)
lemma coeff_of_subring (p : polynomial T) (n : ℕ) :
coeff (of_subring T p) n = (coeff p n : T) :=
begin
simp only [of_subring, coeff_monomial, finset_sum_coeff, mem_support_iff, finset.sum_ite_eq',
ite_eq_right_iff, ne.def, ite_not, not_not, ite_eq_left_iff],
assume h,
rw h,
refl
end
@[simp] theorem frange_of_subring {p : polynomial T} :
↑(p.of_subring T).frange ⊆ T :=
begin
assume i hi,
simp only [frange, set.mem_image, mem_support_iff, ne.def, finset.mem_coe, finset.coe_image]
at hi,
rcases hi with ⟨n, hn, h'n⟩,
rw [← h'n, coeff_of_subring],
exact subtype.mem (coeff p n)
end
end polynomial
variables {R : Type u} {σ : Type v} {M : Type w} [comm_ring R] [add_comm_group M] [module R M]
namespace ideal
open polynomial
/-- If every coefficient of a polynomial is in an ideal `I`, then so is the polynomial itself -/
lemma polynomial_mem_ideal_of_coeff_mem_ideal (I : ideal (polynomial R)) (p : polynomial R)
(hp : ∀ (n : ℕ), (p.coeff n) ∈ I.comap C) : p ∈ I :=
sum_C_mul_X_eq p ▸ submodule.sum_mem I (λ n hn, I.mul_mem_right _ (hp n))
/-- The push-forward of an ideal `I` of `R` to `polynomial R` via inclusion
is exactly the set of polynomials whose coefficients are in `I` -/
theorem mem_map_C_iff {I : ideal R} {f : polynomial R} :
f ∈ (ideal.map C I : ideal (polynomial R)) ↔ ∀ n : ℕ, f.coeff n ∈ I :=
begin
split,
{ intros hf,
apply submodule.span_induction hf,
{ intros f hf n,
cases (set.mem_image _ _ _).mp hf with x hx,
rw [← hx.right, coeff_C],
by_cases (n = 0),
{ simpa [h] using hx.left },
{ simp [h] } },
{ simp },
{ exact λ f g hf hg n, by simp [I.add_mem (hf n) (hg n)] },
{ refine λ f g hg n, _,
rw [smul_eq_mul, coeff_mul],
exact I.sum_mem (λ c hc, I.smul_mem (f.coeff c.fst) (hg c.snd)) } },
{ intros hf,
rw ← sum_monomial_eq f,
refine (I.map C : ideal (polynomial R)).sum_mem (λ n hn, _),
simp [monomial_eq_C_mul_X],
rw mul_comm,
exact (I.map C : ideal (polynomial R)).mul_mem_left _ (mem_map_of_mem _ (hf n)) }
end
lemma quotient_map_C_eq_zero {I : ideal R} :
∀ a ∈ I, ((quotient.mk (map C I : ideal (polynomial R))).comp C) a = 0 :=
begin
intros a ha,
rw [ring_hom.comp_apply, quotient.eq_zero_iff_mem],
exact mem_map_of_mem _ ha,
end
lemma eval₂_C_mk_eq_zero {I : ideal R} :
∀ f ∈ (map C I : ideal (polynomial R)), eval₂_ring_hom (C.comp (quotient.mk I)) X f = 0 :=
begin
intros a ha,
rw ← sum_monomial_eq a,
dsimp,
rw eval₂_sum,
refine finset.sum_eq_zero (λ n hn, _),
dsimp,
rw eval₂_monomial (C.comp (quotient.mk I)) X,
refine mul_eq_zero_of_left (polynomial.ext (λ m, _)) (X ^ n),
erw coeff_C,
by_cases h : m = 0,
{ simpa [h] using quotient.eq_zero_iff_mem.2 ((mem_map_C_iff.1 ha) n) },
{ simp [h] }
end
/-- If `I` is an ideal of `R`, then the ring polynomials over the quotient ring `I.quotient` is
isomorphic to the quotient of `polynomial R` by the ideal `map C I`,
where `map C I` contains exactly the polynomials whose coefficients all lie in `I` -/
def polynomial_quotient_equiv_quotient_polynomial (I : ideal R) :
polynomial (I.quotient) ≃+* (map C I : ideal (polynomial R)).quotient :=
{ to_fun := eval₂_ring_hom
(quotient.lift I ((quotient.mk (map C I : ideal (polynomial R))).comp C) quotient_map_C_eq_zero)
((quotient.mk (map C I : ideal (polynomial R)) X)),
inv_fun := quotient.lift (map C I : ideal (polynomial R))
(eval₂_ring_hom (C.comp (quotient.mk I)) X) eval₂_C_mk_eq_zero,
map_mul' := λ f g, by simp,
map_add' := λ f g, by simp,
left_inv := begin
intro f,
apply polynomial.induction_on' f,
{ simp_intros p q hp hq,
rw [hp, hq] },
{ rintros n ⟨x⟩,
simp [monomial_eq_smul_X, C_mul'] }
end,
right_inv := begin
rintro ⟨f⟩,
apply polynomial.induction_on' f,
{ simp_intros p q hp hq,
rw [hp, hq] },
{ intros n a,
simp [monomial_eq_smul_X, ← C_mul' a (X ^ n)] },
end,
}
/-- If `P` is a prime ideal of `R`, then `R[x]/(P)` is an integral domain. -/
lemma is_integral_domain_map_C_quotient {P : ideal R} (H : is_prime P) :
is_integral_domain (quotient (map C P : ideal (polynomial R))) :=
ring_equiv.is_integral_domain (polynomial (quotient P))
(integral_domain.to_is_integral_domain (polynomial (quotient P)))
(polynomial_quotient_equiv_quotient_polynomial P).symm
/-- If `P` is a prime ideal of `R`, then `P.R[x]` is a prime ideal of `R[x]`. -/
lemma is_prime_map_C_of_is_prime {P : ideal R} (H : is_prime P) :
is_prime (map C P : ideal (polynomial R)) :=
(quotient.is_integral_domain_iff_prime (map C P : ideal (polynomial R))).mp
(is_integral_domain_map_C_quotient H)
/-- Given any ring `R` and an ideal `I` of `polynomial R`, we get a map `R → R[x] → R[x]/I`.
If we let `R` be the image of `R` in `R[x]/I` then we also have a map `R[x] → R'[x]`.
In particular we can map `I` across this map, to get `I'` and a new map `R' → R'[x] → R'[x]/I`.
This theorem shows `I'` will not contain any non-zero constant polynomials
-/
lemma eq_zero_of_polynomial_mem_map_range (I : ideal (polynomial R))
(x : ((quotient.mk I).comp C).range)
(hx : C x ∈ (I.map (polynomial.map_ring_hom ((quotient.mk I).comp C).range_restrict))) :
x = 0 :=
begin
let i := ((quotient.mk I).comp C).range_restrict,
have hi' : (polynomial.map_ring_hom i).ker ≤ I,
{ refine λ f hf, polynomial_mem_ideal_of_coeff_mem_ideal I f (λ n, _),
rw [mem_comap, ← quotient.eq_zero_iff_mem, ← ring_hom.comp_apply],
rw [ring_hom.mem_ker, coe_map_ring_hom] at hf,
replace hf := congr_arg (λ (f : polynomial _), f.coeff n) hf,
simp only [coeff_map, coeff_zero] at hf,
rwa [subtype.ext_iff, ring_hom.coe_range_restrict] at hf },
obtain ⟨x, hx'⟩ := x,
obtain ⟨y, rfl⟩ := (ring_hom.mem_range).1 hx',
refine subtype.eq _,
simp only [ring_hom.comp_apply, quotient.eq_zero_iff_mem, subring.coe_zero, subtype.val_eq_coe],
suffices : C (i y) ∈ (I.map (polynomial.map_ring_hom i)),
{ obtain ⟨f, hf⟩ := mem_image_of_mem_map_of_surjective (polynomial.map_ring_hom i)
(polynomial.map_surjective _ (((quotient.mk I).comp C).range_restrict_surjective)) this,
refine sub_add_cancel (C y) f ▸ I.add_mem (hi' _ : (C y - f) ∈ I) hf.1,
rw [ring_hom.mem_ker, ring_hom.map_sub, hf.2, sub_eq_zero, coe_map_ring_hom, map_C] },
exact hx,
end
/-- `polynomial R` is never a field for any ring `R`. -/
lemma polynomial_not_is_field : ¬ is_field (polynomial R) :=
begin
by_contradiction hR,
by_cases hR' : ∃ (x y : R), x ≠ y,
{ haveI : nontrivial R := let ⟨x, y, hxy⟩ := hR' in nontrivial_of_ne x y hxy,
obtain ⟨p, hp⟩ := hR.mul_inv_cancel X_ne_zero,
by_cases hp0 : p = 0,
{ replace hp := congr_arg degree hp,
rw [hp0, mul_zero, degree_zero, degree_one] at hp,
contradiction },
{ have : p.degree < (X * p).degree := (mul_comm p X) ▸ degree_lt_degree_mul_X hp0,
rw [congr_arg degree hp, degree_one, nat.with_bot.lt_zero_iff, degree_eq_bot] at this,
exact hp0 this } },
{ push_neg at hR',
exact let ⟨x, y, hxy⟩ := hR.exists_pair_ne in hxy (polynomial.ext (λ n, hR' _ _)) }
end
/-- The only constant in a maximal ideal over a field is `0`. -/
lemma eq_zero_of_constant_mem_of_maximal (hR : is_field R)
(I : ideal (polynomial R)) [hI : I.is_maximal] (x : R) (hx : C x ∈ I) : x = 0 :=
begin
refine classical.by_contradiction (λ hx0, hI.ne_top ((eq_top_iff_one I).2 _)),
obtain ⟨y, hy⟩ := hR.mul_inv_cancel hx0,
convert I.smul_mem (C y) hx,
rw [smul_eq_mul, ← C.map_mul, mul_comm y x, hy, ring_hom.map_one],
end
/-- Transport an ideal of `R[X]` to an `R`-submodule of `R[X]`. -/
def of_polynomial (I : ideal (polynomial R)) : submodule R (polynomial R) :=
{ carrier := I.carrier,
zero_mem' := I.zero_mem,
add_mem' := λ _ _, I.add_mem,
smul_mem' := λ c x H, by { rw [← C_mul'], exact I.mul_mem_left _ H } }
variables {I : ideal (polynomial R)}
theorem mem_of_polynomial (x) : x ∈ I.of_polynomial ↔ x ∈ I := iff.rfl
variables (I)
/-- Given an ideal `I` of `R[X]`, make the `R`-submodule of `I`
consisting of polynomials of degree ≤ `n`. -/
def degree_le (n : with_bot ℕ) : submodule R (polynomial R) :=
degree_le R n ⊓ I.of_polynomial
/-- Given an ideal `I` of `R[X]`, make the ideal in `R` of
leading coefficients of polynomials in `I` with degree ≤ `n`. -/
def leading_coeff_nth (n : ℕ) : ideal R :=
(I.degree_le n).map $ lcoeff R n
theorem mem_leading_coeff_nth (n : ℕ) (x) :
x ∈ I.leading_coeff_nth n ↔ ∃ p ∈ I, degree p ≤ n ∧ leading_coeff p = x :=
begin
simp only [leading_coeff_nth, degree_le, submodule.mem_map, lcoeff_apply, submodule.mem_inf,
mem_degree_le],
split,
{ rintro ⟨p, ⟨hpdeg, hpI⟩, rfl⟩,
cases lt_or_eq_of_le hpdeg with hpdeg hpdeg,
{ refine ⟨0, I.zero_mem, bot_le, _⟩,
rw [leading_coeff_zero, eq_comm],
exact coeff_eq_zero_of_degree_lt hpdeg },
{ refine ⟨p, hpI, le_of_eq hpdeg, _⟩,
rw [leading_coeff, nat_degree, hpdeg], refl } },
{ rintro ⟨p, hpI, hpdeg, rfl⟩,
have : nat_degree p + (n - nat_degree p) = n,
{ exact nat.add_sub_cancel' (nat_degree_le_of_degree_le hpdeg) },
refine ⟨p * X ^ (n - nat_degree p), ⟨_, I.mul_mem_right _ hpI⟩, _⟩,
{ apply le_trans (degree_mul_le _ _) _,
apply le_trans (add_le_add (degree_le_nat_degree) (degree_X_pow_le _)) _,
rw [← with_bot.coe_add, this],
exact le_refl _ },
{ rw [leading_coeff, ← coeff_mul_X_pow p (n - nat_degree p), this] } }
end
theorem mem_leading_coeff_nth_zero (x) :
x ∈ I.leading_coeff_nth 0 ↔ C x ∈ I :=
(mem_leading_coeff_nth _ _ _).trans
⟨λ ⟨p, hpI, hpdeg, hpx⟩, by rwa [← hpx, leading_coeff,
nat.eq_zero_of_le_zero (nat_degree_le_of_degree_le hpdeg),
← eq_C_of_degree_le_zero hpdeg],
λ hx, ⟨C x, hx, degree_C_le, leading_coeff_C x⟩⟩
theorem leading_coeff_nth_mono {m n : ℕ} (H : m ≤ n) :
I.leading_coeff_nth m ≤ I.leading_coeff_nth n :=
begin
intros r hr,
simp only [set_like.mem_coe, mem_leading_coeff_nth] at hr ⊢,
rcases hr with ⟨p, hpI, hpdeg, rfl⟩,
refine ⟨p * X ^ (n - m), I.mul_mem_right _ hpI, _, leading_coeff_mul_X_pow⟩,
refine le_trans (degree_mul_le _ _) _,
refine le_trans (add_le_add hpdeg (degree_X_pow_le _)) _,
rw [← with_bot.coe_add, nat.add_sub_cancel' H],
exact le_refl _
end
/-- Given an ideal `I` in `R[X]`, make the ideal in `R` of the
leading coefficients in `I`. -/
def leading_coeff : ideal R :=
⨆ n : ℕ, I.leading_coeff_nth n
theorem mem_leading_coeff (x) :
x ∈ I.leading_coeff ↔ ∃ p ∈ I, polynomial.leading_coeff p = x :=
begin
rw [leading_coeff, submodule.mem_supr_of_directed],
simp only [mem_leading_coeff_nth],
{ split, { rintro ⟨i, p, hpI, hpdeg, rfl⟩, exact ⟨p, hpI, rfl⟩ },
rintro ⟨p, hpI, rfl⟩, exact ⟨nat_degree p, p, hpI, degree_le_nat_degree, rfl⟩ },
intros i j, exact ⟨i + j, I.leading_coeff_nth_mono (nat.le_add_right _ _),
I.leading_coeff_nth_mono (nat.le_add_left _ _)⟩
end
theorem is_fg_degree_le [is_noetherian_ring R] (n : ℕ) :
submodule.fg (I.degree_le n) :=
is_noetherian_submodule_left.1 (is_noetherian_of_fg_of_noetherian _
⟨_, degree_le_eq_span_X_pow.symm⟩) _
end ideal
namespace polynomial
@[priority 100]
instance {R : Type*} [integral_domain R] [wf_dvd_monoid R] :
wf_dvd_monoid (polynomial R) :=
{ well_founded_dvd_not_unit := begin
classical,
refine rel_hom.well_founded
⟨λ p, (if p = 0 then ⊤ else ↑p.degree, p.leading_coeff), _⟩
(prod.lex_wf (with_top.well_founded_lt $ with_bot.well_founded_lt nat.lt_wf)
_inst_5.well_founded_dvd_not_unit),
rintros a b ⟨ane0, ⟨c, ⟨not_unit_c, rfl⟩⟩⟩,
rw [polynomial.degree_mul, if_neg ane0],
split_ifs with hac,
{ rw [hac, polynomial.leading_coeff_zero],
apply prod.lex.left,
exact lt_of_le_of_ne le_top with_top.coe_ne_top },
have cne0 : c ≠ 0 := right_ne_zero_of_mul hac,
simp only [cne0, ane0, polynomial.leading_coeff_mul],
by_cases hdeg : c.degree = 0,
{ simp only [hdeg, add_zero],
refine prod.lex.right _ ⟨_, ⟨c.leading_coeff, (λ unit_c, not_unit_c _), rfl⟩⟩,
{ rwa [ne, polynomial.leading_coeff_eq_zero] },
rw [polynomial.is_unit_iff, polynomial.eq_C_of_degree_eq_zero hdeg],
use [c.leading_coeff, unit_c],
rw [polynomial.leading_coeff, polynomial.nat_degree_eq_of_degree_eq_some hdeg] },
{ apply prod.lex.left,
rw polynomial.degree_eq_nat_degree cne0 at *,
rw [with_top.coe_lt_coe, polynomial.degree_eq_nat_degree ane0,
← with_bot.coe_add, with_bot.coe_lt_coe],
exact lt_add_of_pos_right _ (nat.pos_of_ne_zero (λ h, hdeg (h.symm ▸ with_bot.coe_zero))) },
end }
end polynomial
/-- Hilbert basis theorem: a polynomial ring over a noetherian ring is a noetherian ring. -/
protected theorem polynomial.is_noetherian_ring [is_noetherian_ring R] :
is_noetherian_ring (polynomial R) :=
is_noetherian_ring_iff.2 ⟨assume I : ideal (polynomial R),
let M := well_founded.min (is_noetherian_iff_well_founded.1 (by apply_instance))
(set.range I.leading_coeff_nth) ⟨_, ⟨0, rfl⟩⟩ in
have hm : M ∈ set.range I.leading_coeff_nth := well_founded.min_mem _ _ _,
let ⟨N, HN⟩ := hm, ⟨s, hs⟩ := I.is_fg_degree_le N in
have hm2 : ∀ k, I.leading_coeff_nth k ≤ M := λ k, or.cases_on (le_or_lt k N)
(λ h, HN ▸ I.leading_coeff_nth_mono h)
(λ h x hx, classical.by_contradiction $ λ hxm,
have ¬M < I.leading_coeff_nth k, by refine well_founded.not_lt_min
(well_founded_submodule_gt _ _) _ _ _; exact ⟨k, rfl⟩,
this ⟨HN ▸ I.leading_coeff_nth_mono (le_of_lt h), λ H, hxm (H hx)⟩),
have hs2 : ∀ {x}, x ∈ I.degree_le N → x ∈ ideal.span (↑s : set (polynomial R)),
from hs ▸ λ x hx, submodule.span_induction hx (λ _ hx, ideal.subset_span hx) (ideal.zero_mem _)
(λ _ _, ideal.add_mem _) (λ c f hf, f.C_mul' c ▸ ideal.mul_mem_left _ _ hf),
⟨s, le_antisymm
(ideal.span_le.2 $ λ x hx, have x ∈ I.degree_le N, from hs ▸ submodule.subset_span hx, this.2) $
begin
have : submodule.span (polynomial R) ↑s = ideal.span ↑s, by refl,
rw this,
intros p hp, generalize hn : p.nat_degree = k,
induction k using nat.strong_induction_on with k ih generalizing p,
cases le_or_lt k N,
{ subst k, refine hs2 ⟨polynomial.mem_degree_le.2
(le_trans polynomial.degree_le_nat_degree $ with_bot.coe_le_coe.2 h), hp⟩ },
{ have hp0 : p ≠ 0,
{ rintro rfl, cases hn, exact nat.not_lt_zero _ h },
have : (0 : R) ≠ 1,
{ intro h, apply hp0, ext i, refine (mul_one _).symm.trans _,
rw [← h, mul_zero], refl },
haveI : nontrivial R := ⟨⟨0, 1, this⟩⟩,
have : p.leading_coeff ∈ I.leading_coeff_nth N,
{ rw HN, exact hm2 k ((I.mem_leading_coeff_nth _ _).2
⟨_, hp, hn ▸ polynomial.degree_le_nat_degree, rfl⟩) },
rw I.mem_leading_coeff_nth at this,
rcases this with ⟨q, hq, hdq, hlqp⟩,
have hq0 : q ≠ 0,
{ intro H, rw [← polynomial.leading_coeff_eq_zero] at H,
rw [hlqp, polynomial.leading_coeff_eq_zero] at H, exact hp0 H },
have h1 : p.degree = (q * polynomial.X ^ (k - q.nat_degree)).degree,
{ rw [polynomial.degree_mul', polynomial.degree_X_pow],
rw [polynomial.degree_eq_nat_degree hp0, polynomial.degree_eq_nat_degree hq0],
rw [← with_bot.coe_add, nat.add_sub_cancel', hn],
{ refine le_trans (polynomial.nat_degree_le_of_degree_le hdq) (le_of_lt h) },
rw [polynomial.leading_coeff_X_pow, mul_one],
exact mt polynomial.leading_coeff_eq_zero.1 hq0 },
have h2 : p.leading_coeff = (q * polynomial.X ^ (k - q.nat_degree)).leading_coeff,
{ rw [← hlqp, polynomial.leading_coeff_mul_X_pow] },
have := polynomial.degree_sub_lt h1 hp0 h2,
rw [polynomial.degree_eq_nat_degree hp0] at this,
rw ← sub_add_cancel p (q * polynomial.X ^ (k - q.nat_degree)),
refine (ideal.span ↑s).add_mem _ ((ideal.span ↑s).mul_mem_right _ _),
{ by_cases hpq : p - q * polynomial.X ^ (k - q.nat_degree) = 0,
{ rw hpq, exact ideal.zero_mem _ },
refine ih _ _ (I.sub_mem hp (I.mul_mem_right _ hq)) rfl,
rwa [polynomial.degree_eq_nat_degree hpq, with_bot.coe_lt_coe, hn] at this },
exact hs2 ⟨polynomial.mem_degree_le.2 hdq, hq⟩ }
end⟩⟩
attribute [instance] polynomial.is_noetherian_ring
namespace polynomial
theorem exists_irreducible_of_degree_pos {R : Type u} [integral_domain R] [wf_dvd_monoid R]
{f : polynomial R} (hf : 0 < f.degree) : ∃ g, irreducible g ∧ g ∣ f :=
wf_dvd_monoid.exists_irreducible_factor
(λ huf, ne_of_gt hf $ degree_eq_zero_of_is_unit huf)
(λ hf0, not_lt_of_lt hf $ hf0.symm ▸ (@degree_zero R _).symm ▸ with_bot.bot_lt_coe _)
theorem exists_irreducible_of_nat_degree_pos {R : Type u} [integral_domain R] [wf_dvd_monoid R]
{f : polynomial R} (hf : 0 < f.nat_degree) : ∃ g, irreducible g ∧ g ∣ f :=
exists_irreducible_of_degree_pos $ by { contrapose! hf, exact nat_degree_le_of_degree_le hf }
theorem exists_irreducible_of_nat_degree_ne_zero {R : Type u} [integral_domain R] [wf_dvd_monoid R]
{f : polynomial R} (hf : f.nat_degree ≠ 0) : ∃ g, irreducible g ∧ g ∣ f :=
exists_irreducible_of_nat_degree_pos $ nat.pos_of_ne_zero hf
lemma linear_independent_powers_iff_aeval
(f : M →ₗ[R] M) (v : M) :
linear_independent R (λ n : ℕ, (f ^ n) v)
↔ ∀ (p : polynomial R), aeval f p v = 0 → p = 0 :=
begin
rw linear_independent_iff,
simp only [finsupp.total_apply, aeval_endomorphism, forall_iff_forall_finsupp, sum, support,
coeff, ← zero_to_finsupp],
exact iff.rfl,
end
lemma disjoint_ker_aeval_of_coprime
(f : M →ₗ[R] M) {p q : polynomial R} (hpq : is_coprime p q) :
disjoint (aeval f p).ker (aeval f q).ker :=
begin
intros v hv,
rcases hpq with ⟨p', q', hpq'⟩,
simpa [linear_map.mem_ker.1 (submodule.mem_inf.1 hv).1,
linear_map.mem_ker.1 (submodule.mem_inf.1 hv).2]
using congr_arg (λ p : polynomial R, aeval f p v) hpq'.symm,
end
lemma sup_aeval_range_eq_top_of_coprime
(f : M →ₗ[R] M) {p q : polynomial R} (hpq : is_coprime p q) :
(aeval f p).range ⊔ (aeval f q).range = ⊤ :=
begin
rw eq_top_iff,
intros v hv,
rw submodule.mem_sup,
rcases hpq with ⟨p', q', hpq'⟩,
use aeval f (p * p') v,
use linear_map.mem_range.2 ⟨aeval f p' v, by simp only [linear_map.mul_apply, aeval_mul]⟩,
use aeval f (q * q') v,
use linear_map.mem_range.2 ⟨aeval f q' v, by simp only [linear_map.mul_apply, aeval_mul]⟩,
simpa only [mul_comm p p', mul_comm q q', aeval_one, aeval_add]
using congr_arg (λ p : polynomial R, aeval f p v) hpq'
end
lemma sup_ker_aeval_le_ker_aeval_mul {f : M →ₗ[R] M} {p q : polynomial R} :
(aeval f p).ker ⊔ (aeval f q).ker ≤ (aeval f (p * q)).ker :=
begin
intros v hv,
rcases submodule.mem_sup.1 hv with ⟨x, hx, y, hy, hxy⟩,
have h_eval_x : aeval f (p * q) x = 0,
{ rw [mul_comm, aeval_mul, linear_map.mul_apply, linear_map.mem_ker.1 hx, linear_map.map_zero] },
have h_eval_y : aeval f (p * q) y = 0,
{ rw [aeval_mul, linear_map.mul_apply, linear_map.mem_ker.1 hy, linear_map.map_zero] },
rw [linear_map.mem_ker, ←hxy, linear_map.map_add, h_eval_x, h_eval_y, add_zero],
end
lemma sup_ker_aeval_eq_ker_aeval_mul_of_coprime
(f : M →ₗ[R] M) {p q : polynomial R} (hpq : is_coprime p q) :
(aeval f p).ker ⊔ (aeval f q).ker = (aeval f (p * q)).ker :=
begin
apply le_antisymm sup_ker_aeval_le_ker_aeval_mul,
intros v hv,
rw submodule.mem_sup,
rcases hpq with ⟨p', q', hpq'⟩,
have h_eval₂_qpp' := calc
aeval f (q * (p * p')) v = aeval f (p' * (p * q)) v :
by rw [mul_comm, mul_assoc, mul_comm, mul_assoc, mul_comm q p]
... = 0 :
by rw [aeval_mul, linear_map.mul_apply, linear_map.mem_ker.1 hv, linear_map.map_zero],
have h_eval₂_pqq' := calc
aeval f (p * (q * q')) v = aeval f (q' * (p * q)) v :
by rw [←mul_assoc, mul_comm]
... = 0 :
by rw [aeval_mul, linear_map.mul_apply, linear_map.mem_ker.1 hv, linear_map.map_zero],
rw aeval_mul at h_eval₂_qpp' h_eval₂_pqq',
refine ⟨aeval f (q * q') v, linear_map.mem_ker.1 h_eval₂_pqq',
aeval f (p * p') v, linear_map.mem_ker.1 h_eval₂_qpp', _⟩,
rw [add_comm, mul_comm p p', mul_comm q q'],
simpa using congr_arg (λ p : polynomial R, aeval f p v) hpq'
end
end polynomial
namespace mv_polynomial
lemma is_noetherian_ring_fin_0 [is_noetherian_ring R] :
is_noetherian_ring (mv_polynomial (fin 0) R) :=
is_noetherian_ring_of_ring_equiv R
((mv_polynomial.pempty_ring_equiv R).symm.trans
(rename_equiv R fin_zero_equiv'.symm).to_ring_equiv)
theorem is_noetherian_ring_fin [is_noetherian_ring R] :
∀ {n : ℕ}, is_noetherian_ring (mv_polynomial (fin n) R)
| 0 := is_noetherian_ring_fin_0
| (n+1) :=
@is_noetherian_ring_of_ring_equiv (polynomial (mv_polynomial (fin n) R)) _ _ _
(mv_polynomial.fin_succ_equiv _ n).to_ring_equiv.symm
(@polynomial.is_noetherian_ring (mv_polynomial (fin n) R) _ (is_noetherian_ring_fin))
/-- The multivariate polynomial ring in finitely many variables over a noetherian ring
is itself a noetherian ring. -/
instance is_noetherian_ring [fintype σ] [is_noetherian_ring R] :
is_noetherian_ring (mv_polynomial σ R) :=
@is_noetherian_ring_of_ring_equiv (mv_polynomial (fin (fintype.card σ)) R) _ _ _
(rename_equiv R (fintype.equiv_fin σ).symm).to_ring_equiv is_noetherian_ring_fin
lemma is_integral_domain_fin_zero (R : Type u) [comm_ring R] (hR : is_integral_domain R) :
is_integral_domain (mv_polynomial (fin 0) R) :=
ring_equiv.is_integral_domain R hR
((rename_equiv R fin_zero_equiv').to_ring_equiv.trans (mv_polynomial.pempty_ring_equiv R))
/-- Auxiliary lemma:
Multivariate polynomials over an integral domain
with variables indexed by `fin n` form an integral domain.
This fact is proven inductively,
and then used to prove the general case without any finiteness hypotheses.
See `mv_polynomial.integral_domain` for the general case. -/
lemma is_integral_domain_fin (R : Type u) [comm_ring R] (hR : is_integral_domain R) :
∀ (n : ℕ), is_integral_domain (mv_polynomial (fin n) R)
| 0 := is_integral_domain_fin_zero R hR
| (n+1) :=
ring_equiv.is_integral_domain
(polynomial (mv_polynomial (fin n) R))
(is_integral_domain_fin n).polynomial
(mv_polynomial.fin_succ_equiv _ n).to_ring_equiv
lemma is_integral_domain_fintype (R : Type u) (σ : Type v) [comm_ring R] [fintype σ]
(hR : is_integral_domain R) : is_integral_domain (mv_polynomial σ R) :=
@ring_equiv.is_integral_domain _ (mv_polynomial (fin $ fintype.card σ) R) _ _
(mv_polynomial.is_integral_domain_fin _ hR _)
(rename_equiv R (fintype.equiv_fin σ)).to_ring_equiv
/-- Auxiliary definition:
Multivariate polynomials in finitely many variables over an integral domain form an integral domain.
This fact is proven by transport of structure from the `mv_polynomial.integral_domain_fin`,
and then used to prove the general case without finiteness hypotheses.
See `mv_polynomial.integral_domain` for the general case. -/
def integral_domain_fintype (R : Type u) (σ : Type v) [integral_domain R] [fintype σ] :
integral_domain (mv_polynomial σ R) :=
@is_integral_domain.to_integral_domain _ _ $ mv_polynomial.is_integral_domain_fintype R σ $
integral_domain.to_is_integral_domain R
protected theorem eq_zero_or_eq_zero_of_mul_eq_zero {R : Type u} [integral_domain R] {σ : Type v}
(p q : mv_polynomial σ R) (h : p * q = 0) : p = 0 ∨ q = 0 :=
begin
obtain ⟨s, p, rfl⟩ := exists_finset_rename p,
obtain ⟨t, q, rfl⟩ := exists_finset_rename q,
have :
rename (subtype.map id (finset.subset_union_left s t) : {x // x ∈ s} → {x // x ∈ s ∪ t}) p *
rename (subtype.map id (finset.subset_union_right s t) : {x // x ∈ t} → {x // x ∈ s ∪ t}) q = 0,
{ apply rename_injective _ subtype.val_injective, simpa using h },
letI := mv_polynomial.integral_domain_fintype R {x // x ∈ (s ∪ t)},
rw mul_eq_zero at this,
cases this; [left, right],
all_goals { simpa using congr_arg (rename subtype.val) this }
end
/-- The multivariate polynomial ring over an integral domain is an integral domain. -/
instance {R : Type u} {σ : Type v} [integral_domain R] :
integral_domain (mv_polynomial σ R) :=
{ eq_zero_or_eq_zero_of_mul_eq_zero := mv_polynomial.eq_zero_or_eq_zero_of_mul_eq_zero,
exists_pair_ne := ⟨0, 1, λ H,
begin
have : eval₂ (ring_hom.id _) (λ s, (0:R)) (0 : mv_polynomial σ R) =
eval₂ (ring_hom.id _) (λ s, (0:R)) (1 : mv_polynomial σ R),
{ congr, exact H },
simpa,
end⟩,
.. (by apply_instance : comm_ring (mv_polynomial σ R)) }
lemma map_mv_polynomial_eq_eval₂ {S : Type*} [comm_ring S] [fintype σ]
(ϕ : mv_polynomial σ R →+* S) (p : mv_polynomial σ R) :
ϕ p = mv_polynomial.eval₂ (ϕ.comp mv_polynomial.C) (λ s, ϕ (mv_polynomial.X s)) p :=
begin
refine trans (congr_arg ϕ (mv_polynomial.as_sum p)) _,
rw [mv_polynomial.eval₂_eq', ϕ.map_sum],
congr,
ext,
simp only [monomial_eq, ϕ.map_pow, ϕ.map_prod, ϕ.comp_apply, ϕ.map_mul, finsupp.prod_pow],
end
lemma quotient_map_C_eq_zero {I : ideal R} {i : R} (hi : i ∈ I) :
(ideal.quotient.mk (ideal.map C I : ideal (mv_polynomial σ R))).comp C i = 0 :=
begin
simp only [function.comp_app, ring_hom.coe_comp, ideal.quotient.eq_zero_iff_mem],
exact ideal.mem_map_of_mem _ hi
end
/-- If every coefficient of a polynomial is in an ideal `I`, then so is the polynomial itself,
multivariate version. -/
lemma mem_ideal_of_coeff_mem_ideal (I : ideal (mv_polynomial σ R)) (p : mv_polynomial σ R)
(hcoe : ∀ (m : σ →₀ ℕ), p.coeff m ∈ I.comap C) : p ∈ I :=
begin
rw as_sum p,
suffices : ∀ m ∈ p.support, monomial m (mv_polynomial.coeff m p) ∈ I,
{ exact submodule.sum_mem I this },
intros m hm,
rw [← mul_one (coeff m p), ← C_mul_monomial],
suffices : C (coeff m p) ∈ I,
{ exact I.mul_mem_right (monomial m 1) this },
simpa [ideal.mem_comap] using hcoe m
end
/-- The push-forward of an ideal `I` of `R` to `mv_polynomial σ R` via inclusion
is exactly the set of polynomials whose coefficients are in `I` -/
theorem mem_map_C_iff {I : ideal R} {f : mv_polynomial σ R} :
f ∈ (ideal.map C I : ideal (mv_polynomial σ R)) ↔ ∀ (m : σ →₀ ℕ), f.coeff m ∈ I :=
begin
split,
{ intros hf,
apply submodule.span_induction hf,
{ intros f hf n,
cases (set.mem_image _ _ _).mp hf with x hx,
rw [← hx.right, coeff_C],
by_cases (n = 0),
{ simpa [h] using hx.left },
{ simp [ne.symm h] } },
{ simp },
{ exact λ f g hf hg n, by simp [I.add_mem (hf n) (hg n)] },
{ refine λ f g hg n, _,
rw [smul_eq_mul, coeff_mul],
exact I.sum_mem (λ c hc, I.smul_mem (f.coeff c.fst) (hg c.snd)) } },
{ intros hf,
rw as_sum f,
suffices : ∀ m ∈ f.support, monomial m (coeff m f) ∈
(ideal.map C I : ideal (mv_polynomial σ R)),
{ exact submodule.sum_mem _ this },
intros m hm,
rw [← mul_one (coeff m f), ← C_mul_monomial],
suffices : C (coeff m f) ∈ (ideal.map C I : ideal (mv_polynomial σ R)),
{ exact ideal.mul_mem_right _ _ this },
apply ideal.mem_map_of_mem _,
exact hf m }
end
lemma eval₂_C_mk_eq_zero {I : ideal R} {a : mv_polynomial σ R}
(ha : a ∈ (ideal.map C I : ideal (mv_polynomial σ R))) :
eval₂_hom (C.comp (ideal.quotient.mk I)) X a = 0 :=
begin
rw as_sum a,
rw [coe_eval₂_hom, eval₂_sum],
refine finset.sum_eq_zero (λ n hn, _),
simp only [eval₂_monomial, function.comp_app, ring_hom.coe_comp],
refine mul_eq_zero_of_left _ _,
suffices : coeff n a ∈ I,
{ rw [← @ideal.mk_ker R _ I, ring_hom.mem_ker] at this,
simp only [this, C_0] },
exact mem_map_C_iff.1 ha n
end
/-- If `I` is an ideal of `R`, then the ring `mv_polynomial σ I.quotient` is isomorphic as an
`R`-algebra to the quotient of `mv_polynomial σ R` by the ideal generated by `I`. -/
def quotient_equiv_quotient_mv_polynomial (I : ideal R) :
mv_polynomial σ I.quotient ≃ₐ[R] (ideal.map C I : ideal (mv_polynomial σ R)).quotient :=
{ to_fun := eval₂_hom (ideal.quotient.lift I ((ideal.quotient.mk (ideal.map C I : ideal
(mv_polynomial σ R))).comp C) (λ i hi, quotient_map_C_eq_zero hi))
(λ i, ideal.quotient.mk (ideal.map C I : ideal (mv_polynomial σ R)) (X i)),
inv_fun := ideal.quotient.lift (ideal.map C I : ideal (mv_polynomial σ R))
(eval₂_hom (C.comp (ideal.quotient.mk I)) X) (λ a ha, eval₂_C_mk_eq_zero ha),
map_mul' := ring_hom.map_mul _,
map_add' := ring_hom.map_add _,
left_inv := begin
intro f,
apply induction_on f,
{ rintro ⟨r⟩,
rw [coe_eval₂_hom, eval₂_C],
simp only [eval₂_hom_eq_bind₂, submodule.quotient.quot_mk_eq_mk, ideal.quotient.lift_mk,
ideal.quotient.mk_eq_mk, bind₂_C_right, ring_hom.coe_comp] },
{ simp_intros p q hp hq only [ring_hom.map_add, mv_polynomial.coe_eval₂_hom, coe_eval₂_hom,
mv_polynomial.eval₂_add, mv_polynomial.eval₂_hom_eq_bind₂, eval₂_hom_eq_bind₂],
rw [hp, hq] },
{ simp_intros p i hp only [eval₂_hom_eq_bind₂, coe_eval₂_hom],
simp only [hp, eval₂_hom_eq_bind₂, coe_eval₂_hom, ideal.quotient.lift_mk, bind₂_X_right,
eval₂_mul, ring_hom.map_mul, eval₂_X] }
end,
right_inv := begin
rintro ⟨f⟩,
apply induction_on f,
{ intros r,
simp only [submodule.quotient.quot_mk_eq_mk, ideal.quotient.lift_mk, ideal.quotient.mk_eq_mk,
ring_hom.coe_comp, eval₂_hom_C] },
{ simp_intros p q hp hq only [eval₂_hom_eq_bind₂, submodule.quotient.quot_mk_eq_mk, eval₂_add,
ring_hom.map_add, coe_eval₂_hom, ideal.quotient.lift_mk, ideal.quotient.mk_eq_mk],
rw [hp, hq] },
{ simp_intros p i hp only [eval₂_hom_eq_bind₂, submodule.quotient.quot_mk_eq_mk, coe_eval₂_hom,
ideal.quotient.lift_mk, ideal.quotient.mk_eq_mk, bind₂_X_right, eval₂_mul, ring_hom.map_mul,
eval₂_X],
simp only [hp] }
end,
commutes' := λ r, eval₂_hom_C _ _ (ideal.quotient.mk I r) }
end mv_polynomial
namespace polynomial
open unique_factorization_monoid
variables {D : Type u} [integral_domain D] [unique_factorization_monoid D]
@[priority 100]
instance unique_factorization_monoid : unique_factorization_monoid (polynomial D) :=
begin
haveI := arbitrary (normalization_monoid D),
haveI := to_gcd_monoid D,
exact ufm_of_gcd_of_wf_dvd_monoid
end
end polynomial
|
154b59e67bc8bf26b41b46d06dd2564955b42ee7 | 3dd1b66af77106badae6edb1c4dea91a146ead30 | /library/hott/prop.lean | 01e520b6d6480a761dbb20563e9f31f6ae8576cf | [
"Apache-2.0"
] | permissive | silky/lean | 79c20c15c93feef47bb659a2cc139b26f3614642 | df8b88dca2f8da1a422cb618cd476ef5be730546 | refs/heads/master | 1,610,737,587,697 | 1,406,574,534,000 | 1,406,574,534,000 | 22,362,176 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 311 | lean | -- Copyright (c) 2014 Microsoft Corporation. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Author: Leonardo de Moura
import logic
definition is_prop (A : Type) := Π (x y : A), x = y
inductive hprop : Type :=
| hprop_intro : Π (A : Type), is_prop A → hprop
|
f86fdda8c79d79426b4089573a49bd07ab850300 | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/analysis/complex/liouville.lean | aa2b6a8ae40ebcdbc1b555bbe6fb2ee37ffe41f0 | [
"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 | 5,824 | lean | /-
Copyright (c) 2022 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import analysis.complex.cauchy_integral
import analysis.calculus.fderiv_analytic
import analysis.normed_space.completion
/-!
# Liouville's theorem
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
In this file we prove Liouville's theorem: if `f : E → F` is complex differentiable on the whole
space and its range is bounded, then the function is a constant. Various versions of this theorem
are formalized in `differentiable.apply_eq_apply_of_bounded`,
`differentiable.exists_const_forall_eq_of_bounded`, and
`differentiable.exists_eq_const_of_bounded`.
The proof is based on the Cauchy integral formula for the derivative of an analytic function, see
`complex.deriv_eq_smul_circle_integral`.
-/
open topological_space metric set filter asymptotics function measure_theory
open_locale topology filter nnreal real
universes u v
variables {E : Type u} [normed_add_comm_group E] [normed_space ℂ E]
{F : Type v} [normed_add_comm_group F] [normed_space ℂ F]
local postfix `̂`:100 := uniform_space.completion
namespace complex
/-- If `f` is complex differentiable on an open disc with center `c` and radius `R > 0` and is
continuous on its closure, then `f' c` can be represented as an integral over the corresponding
circle.
TODO: add a version for `w ∈ metric.ball c R`.
TODO: add a version for higher derivatives. -/
lemma deriv_eq_smul_circle_integral [complete_space F] {R : ℝ} {c : ℂ} {f : ℂ → F} (hR : 0 < R)
(hf : diff_cont_on_cl ℂ f (ball c R)) :
deriv f c = (2 * π * I : ℂ)⁻¹ • ∮ z in C(c, R), (z - c) ^ (-2 : ℤ) • f z :=
begin
lift R to ℝ≥0 using hR.le,
refine (hf.has_fpower_series_on_ball hR).has_fpower_series_at.deriv.trans _,
simp only [cauchy_power_series_apply, one_div, zpow_neg, pow_one, smul_smul, zpow_two, mul_inv]
end
lemma norm_deriv_le_aux [complete_space F] {c : ℂ} {R C : ℝ} {f : ℂ → F} (hR : 0 < R)
(hf : diff_cont_on_cl ℂ f (ball c R)) (hC : ∀ z ∈ sphere c R, ‖f z‖ ≤ C) :
‖deriv f c‖ ≤ C / R :=
begin
have : ∀ z ∈ sphere c R, ‖(z - c) ^ (-2 : ℤ) • f z‖ ≤ C / (R * R),
from λ z (hz : abs (z - c) = R), by simpa [-mul_inv_rev, norm_smul, hz, zpow_two,
←div_eq_inv_mul] using (div_le_div_right (mul_pos hR hR)).2 (hC z hz),
calc ‖deriv f c‖ = ‖(2 * π * I : ℂ)⁻¹ • ∮ z in C(c, R), (z - c) ^ (-2 : ℤ) • f z‖ :
congr_arg norm (deriv_eq_smul_circle_integral hR hf)
... ≤ R * (C / (R * R)) :
circle_integral.norm_two_pi_I_inv_smul_integral_le_of_norm_le_const hR.le this
... = C / R : by rw [mul_div_left_comm, div_self_mul_self', div_eq_mul_inv]
end
/-- If `f` is complex differentiable on an open disc of radius `R > 0`, is continuous on its
closure, and its values on the boundary circle of this disc are bounded from above by `C`, then the
norm of its derivative at the center is at most `C / R`. -/
lemma norm_deriv_le_of_forall_mem_sphere_norm_le {c : ℂ} {R C : ℝ} {f : ℂ → F} (hR : 0 < R)
(hd : diff_cont_on_cl ℂ f (ball c R)) (hC : ∀ z ∈ sphere c R, ‖f z‖ ≤ C) :
‖deriv f c‖ ≤ C / R :=
begin
set e : F →L[ℂ] F̂ := uniform_space.completion.to_complL,
have : has_deriv_at (e ∘ f) (e (deriv f c)) c,
from e.has_fderiv_at.comp_has_deriv_at c
(hd.differentiable_at is_open_ball $ mem_ball_self hR).has_deriv_at,
calc ‖deriv f c‖ = ‖deriv (e ∘ f) c‖ :
by { rw this.deriv, exact (uniform_space.completion.norm_coe _).symm }
... ≤ C / R :
norm_deriv_le_aux hR (e.differentiable.comp_diff_cont_on_cl hd)
(λ z hz, (uniform_space.completion.norm_coe _).trans_le (hC z hz))
end
/-- An auxiliary lemma for Liouville's theorem `differentiable.apply_eq_apply_of_bounded`. -/
lemma liouville_theorem_aux {f : ℂ → F} (hf : differentiable ℂ f)
(hb : bounded (range f)) (z w : ℂ) : f z = f w :=
begin
suffices : ∀ c, deriv f c = 0, from is_const_of_deriv_eq_zero hf this z w,
clear z w, intro c,
obtain ⟨C, C₀, hC⟩ : ∃ C > (0 : ℝ), ∀ z, ‖f z‖ ≤ C,
{ rcases bounded_iff_forall_norm_le.1 hb with ⟨C, hC⟩,
exact ⟨max C 1, lt_max_iff.2 (or.inr zero_lt_one),
λ z, (hC (f z) (mem_range_self _)).trans (le_max_left _ _)⟩ },
refine norm_le_zero_iff.1 (le_of_forall_le_of_dense $ λ ε ε₀, _),
calc ‖deriv f c‖ ≤ C / (C / ε) :
norm_deriv_le_of_forall_mem_sphere_norm_le (div_pos C₀ ε₀) hf.diff_cont_on_cl (λ z _, hC z)
... = ε : div_div_cancel' C₀.lt.ne'
end
end complex
namespace differentiable
open complex
/-- **Liouville's theorem**: a complex differentiable bounded function `f : E → F` is a constant. -/
lemma apply_eq_apply_of_bounded {f : E → F} (hf : differentiable ℂ f) (hb : bounded (range f))
(z w : E) : f z = f w :=
begin
set g : ℂ → F := f ∘ (λ t : ℂ, t • (w - z) + z),
suffices : g 0 = g 1, by simpa [g],
apply liouville_theorem_aux,
exacts [hf.comp ((differentiable_id.smul_const (w - z)).add_const z),
hb.mono (range_comp_subset_range _ _)]
end
/-- **Liouville's theorem**: a complex differentiable bounded function is a constant. -/
lemma exists_const_forall_eq_of_bounded {f : E → F} (hf : differentiable ℂ f)
(hb : bounded (range f)) : ∃ c, ∀ z, f z = c :=
⟨f 0, λ z, hf.apply_eq_apply_of_bounded hb _ _⟩
/-- **Liouville's theorem**: a complex differentiable bounded function is a constant. -/
lemma exists_eq_const_of_bounded {f : E → F} (hf : differentiable ℂ f)
(hb : bounded (range f)) : ∃ c, f = const E c :=
(hf.exists_const_forall_eq_of_bounded hb).imp $ λ c, funext
end differentiable
|
f8478499f48a0a679ad6584ebdcf9c6d075275e8 | 4efff1f47634ff19e2f786deadd394270a59ecd2 | /src/algebra/category/CommRing/colimits.lean | 1093af8707fa2c1d8ca09a0ca773cd1329ed3802 | [
"Apache-2.0"
] | permissive | agjftucker/mathlib | d634cd0d5256b6325e3c55bb7fb2403548371707 | 87fe50de17b00af533f72a102d0adefe4a2285e8 | refs/heads/master | 1,625,378,131,941 | 1,599,166,526,000 | 1,599,166,526,000 | 160,748,509 | 0 | 0 | Apache-2.0 | 1,544,141,789,000 | 1,544,141,789,000 | null | UTF-8 | Lean | false | false | 12,766 | 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 algebra.category.CommRing.basic
import category_theory.limits.limits
import category_theory.limits.concrete_category
/-!
# The category of commutative rings has all colimits.
This file uses a "pre-automated" approach, just as for `Mon/colimits.lean`.
It is a very uniform approach, that conceivably could be synthesised directly
by a tactic that analyses the shape of `comm_ring` and `ring_hom`.
-/
universes u v
open category_theory
open category_theory.limits
-- [ROBOT VOICE]:
-- You should pretend for now that this file was automatically generated.
-- It follows the same template as colimits in Mon.
/-
`#print comm_ring` says:
structure comm_ring : Type u → Type u
fields:
comm_ring.zero : Π (α : Type u) [c : comm_ring α], α
comm_ring.one : Π (α : Type u) [c : comm_ring α], α
comm_ring.neg : Π {α : Type u} [c : comm_ring α], α → α
comm_ring.add : Π {α : Type u} [c : comm_ring α], α → α → α
comm_ring.mul : Π {α : Type u} [c : comm_ring α], α → α → α
comm_ring.zero_add : ∀ {α : Type u} [c : comm_ring α] (a : α), 0 + a = a
comm_ring.add_zero : ∀ {α : Type u} [c : comm_ring α] (a : α), a + 0 = a
comm_ring.one_mul : ∀ {α : Type u} [c : comm_ring α] (a : α), 1 * a = a
comm_ring.mul_one : ∀ {α : Type u} [c : comm_ring α] (a : α), a * 1 = a
comm_ring.add_left_neg : ∀ {α : Type u} [c : comm_ring α] (a : α), -a + a = 0
comm_ring.add_comm : ∀ {α : Type u} [c : comm_ring α] (a b : α), a + b = b + a
comm_ring.mul_comm : ∀ {α : Type u} [c : comm_ring α] (a b : α), a * b = b * a
comm_ring.add_assoc : ∀ {α : Type u} [c : comm_ring α] (a b c_1 : α), a + b + c_1 = a + (b + c_1)
comm_ring.mul_assoc : ∀ {α : Type u} [c : comm_ring α] (a b c_1 : α), a * b * c_1 = a * (b * c_1)
comm_ring.left_distrib : ∀ {α : Type u} [c : comm_ring α] (a b c_1 : α), a * (b + c_1) = a * b + a * c_1
comm_ring.right_distrib : ∀ {α : Type u} [c : comm_ring α] (a b c_1 : α), (a + b) * c_1 = a * c_1 + b * c_1
-/
namespace CommRing.colimits
/-!
We build the colimit of a diagram in `CommRing` by constructing the
free commutative ring on the disjoint union of all the commutative rings in the diagram,
then taking the quotient by the commutative ring laws within each commutative ring,
and the identifications given by the morphisms in the diagram.
-/
variables {J : Type v} [small_category J] (F : J ⥤ CommRing.{v})
/--
An inductive type representing all commutative ring expressions (without relations)
on a collection of types indexed by the objects of `J`.
-/
inductive prequotient
-- There's always `of`
| of : Π (j : J) (x : F.obj j), prequotient
-- Then one generator for each operation
| zero : prequotient
| one : prequotient
| neg : prequotient → prequotient
| add : prequotient → prequotient → prequotient
| mul : prequotient → prequotient → prequotient
instance : inhabited (prequotient F) := ⟨prequotient.zero⟩
open prequotient
/--
The relation on `prequotient` saying when two expressions are equal
because of the commutative ring laws, or
because one element is mapped to another by a morphism in the diagram.
-/
inductive relation : prequotient F → prequotient F → Prop
-- Make it an equivalence relation:
| refl : Π (x), relation x x
| symm : Π (x y) (h : relation x y), relation y x
| trans : Π (x y z) (h : relation x y) (k : relation y z), relation x z
-- There's always a `map` relation
| map : Π (j j' : J) (f : j ⟶ j') (x : F.obj j), relation (of j' (F.map f x)) (of j x)
-- Then one relation per operation, describing the interaction with `of`
| zero : Π (j), relation (of j 0) zero
| one : Π (j), relation (of j 1) one
| neg : Π (j) (x : F.obj j), relation (of j (-x)) (neg (of j x))
| add : Π (j) (x y : F.obj j), relation (of j (x + y)) (add (of j x) (of j y))
| mul : Π (j) (x y : F.obj j), relation (of j (x * y)) (mul (of j x) (of j y))
-- Then one relation per argument of each operation
| neg_1 : Π (x x') (r : relation x x'), relation (neg x) (neg x')
| add_1 : Π (x x' y) (r : relation x x'), relation (add x y) (add x' y)
| add_2 : Π (x y y') (r : relation y y'), relation (add x y) (add x y')
| mul_1 : Π (x x' y) (r : relation x x'), relation (mul x y) (mul x' y)
| mul_2 : Π (x y y') (r : relation y y'), relation (mul x y) (mul x y')
-- And one relation per axiom
| zero_add : Π (x), relation (add zero x) x
| add_zero : Π (x), relation (add x zero) x
| one_mul : Π (x), relation (mul one x) x
| mul_one : Π (x), relation (mul x one) x
| add_left_neg : Π (x), relation (add (neg x) x) zero
| add_comm : Π (x y), relation (add x y) (add y x)
| mul_comm : Π (x y), relation (mul x y) (mul y x)
| add_assoc : Π (x y z), relation (add (add x y) z) (add x (add y z))
| mul_assoc : Π (x y z), relation (mul (mul x y) z) (mul x (mul y z))
| left_distrib : Π (x y z), relation (mul x (add y z)) (add (mul x y) (mul x z))
| right_distrib : Π (x y z), relation (mul (add x y) z) (add (mul x z) (mul y z))
/--
The setoid corresponding to commutative expressions modulo monoid relations and identifications.
-/
def colimit_setoid : setoid (prequotient F) :=
{ r := relation F, iseqv := ⟨relation.refl, relation.symm, relation.trans⟩ }
attribute [instance] colimit_setoid
/--
The underlying type of the colimit of a diagram in `CommRing`.
-/
@[derive inhabited]
def colimit_type : Type v := quotient (colimit_setoid F)
instance : comm_ring (colimit_type F) :=
{ zero :=
begin
exact quot.mk _ zero
end,
one :=
begin
exact quot.mk _ one
end,
neg :=
begin
fapply @quot.lift,
{ intro x,
exact quot.mk _ (neg x) },
{ intros x x' r,
apply quot.sound,
exact relation.neg_1 _ _ r },
end,
add :=
begin
fapply @quot.lift _ _ ((colimit_type F) → (colimit_type F)),
{ intro x,
fapply @quot.lift,
{ intro y,
exact quot.mk _ (add x y) },
{ intros y y' r,
apply quot.sound,
exact relation.add_2 _ _ _ r } },
{ intros x x' r,
funext y,
induction y,
dsimp,
apply quot.sound,
{ exact relation.add_1 _ _ _ r },
{ refl } },
end,
mul :=
begin
fapply @quot.lift _ _ ((colimit_type F) → (colimit_type F)),
{ intro x,
fapply @quot.lift,
{ intro y,
exact quot.mk _ (mul x y) },
{ intros y y' r,
apply quot.sound,
exact relation.mul_2 _ _ _ r } },
{ intros x x' r,
funext y,
induction y,
dsimp,
apply quot.sound,
{ exact relation.mul_1 _ _ _ r },
{ refl } },
end,
zero_add := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.zero_add,
refl,
end,
add_zero := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.add_zero,
refl,
end,
one_mul := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.one_mul,
refl,
end,
mul_one := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.mul_one,
refl,
end,
add_left_neg := λ x,
begin
induction x,
dsimp,
apply quot.sound,
apply relation.add_left_neg,
refl,
end,
add_comm := λ x y,
begin
induction x,
induction y,
dsimp,
apply quot.sound,
apply relation.add_comm,
refl,
refl,
end,
mul_comm := λ x y,
begin
induction x,
induction y,
dsimp,
apply quot.sound,
apply relation.mul_comm,
refl,
refl,
end,
add_assoc := λ x y z,
begin
induction x,
induction y,
induction z,
dsimp,
apply quot.sound,
apply relation.add_assoc,
refl,
refl,
refl,
end,
mul_assoc := λ x y z,
begin
induction x,
induction y,
induction z,
dsimp,
apply quot.sound,
apply relation.mul_assoc,
refl,
refl,
refl,
end,
left_distrib := λ x y z,
begin
induction x,
induction y,
induction z,
dsimp,
apply quot.sound,
apply relation.left_distrib,
refl,
refl,
refl,
end,
right_distrib := λ x y z,
begin
induction x,
induction y,
induction z,
dsimp,
apply quot.sound,
apply relation.right_distrib,
refl,
refl,
refl,
end, }
@[simp] lemma quot_zero : quot.mk setoid.r zero = (0 : colimit_type F) := rfl
@[simp] lemma quot_one : quot.mk setoid.r one = (1 : colimit_type F) := rfl
@[simp] lemma quot_neg (x) : quot.mk setoid.r (neg x) = (-(quot.mk setoid.r x) : colimit_type F) := rfl
@[simp] lemma quot_add (x y) : quot.mk setoid.r (add x y) = ((quot.mk setoid.r x) + (quot.mk setoid.r y) : colimit_type F) := rfl
@[simp] lemma quot_mul (x y) : quot.mk setoid.r (mul x y) = ((quot.mk setoid.r x) * (quot.mk setoid.r y) : colimit_type F) := rfl
/-- The bundled commutative ring giving the colimit of a diagram. -/
def colimit : CommRing := CommRing.of (colimit_type F)
/-- The function from a given commutative ring in the diagram to the colimit commutative ring. -/
def cocone_fun (j : J) (x : F.obj j) : colimit_type F :=
quot.mk _ (of j x)
/-- The ring homomorphism from a given commutative ring in the diagram to the colimit commutative ring. -/
def cocone_morphism (j : J) : F.obj j ⟶ colimit F :=
{ to_fun := cocone_fun F j,
map_one' := by apply quot.sound; apply relation.one,
map_mul' := by intros; apply quot.sound; apply relation.mul,
map_zero' := by apply quot.sound; apply relation.zero,
map_add' := by intros; apply quot.sound; apply relation.add }
@[simp] lemma cocone_naturality {j j' : J} (f : j ⟶ j') :
F.map f ≫ (cocone_morphism F j') = cocone_morphism F j :=
begin
ext,
apply quot.sound,
apply relation.map,
end
@[simp] lemma cocone_naturality_components (j j' : J) (f : j ⟶ j') (x : F.obj j):
(cocone_morphism F j') (F.map f x) = (cocone_morphism F j) x :=
by { rw ←cocone_naturality F f, refl }
/-- The cocone over the proposed colimit commutative ring. -/
def colimit_cocone : cocone F :=
{ X := colimit F,
ι :=
{ app := cocone_morphism F } }.
/-- The function from the free commutative ring on the diagram to the cone point of any other cocone. -/
@[simp] def desc_fun_lift (s : cocone F) : prequotient F → s.X
| (of j x) := (s.ι.app j) x
| zero := 0
| one := 1
| (neg x) := -(desc_fun_lift x)
| (add x y) := desc_fun_lift x + desc_fun_lift y
| (mul x y) := desc_fun_lift x * desc_fun_lift y
/-- The function from the colimit commutative ring to the cone point of any other cocone. -/
def desc_fun (s : cocone F) : colimit_type F → s.X :=
begin
fapply quot.lift,
{ exact desc_fun_lift F s },
{ intros x y r,
induction r; try { dsimp },
-- refl
{ refl },
-- symm
{ exact r_ih.symm },
-- trans
{ exact eq.trans r_ih_h r_ih_k },
-- map
{ simp, },
-- zero
{ simp, },
-- one
{ simp, },
-- neg
{ simp, },
-- add
{ simp, },
-- mul
{ simp, },
-- neg_1
{ rw r_ih, },
-- add_1
{ rw r_ih, },
-- add_2
{ rw r_ih, },
-- mul_1
{ rw r_ih, },
-- mul_2
{ rw r_ih, },
-- zero_add
{ rw zero_add, },
-- add_zero
{ rw add_zero, },
-- one_mul
{ rw one_mul, },
-- mul_one
{ rw mul_one, },
-- add_left_neg
{ rw add_left_neg, },
-- add_comm
{ rw add_comm, },
-- mul_comm
{ rw mul_comm, },
-- add_assoc
{ rw add_assoc, },
-- mul_assoc
{ rw mul_assoc, },
-- left_distrib
{ rw left_distrib, },
-- right_distrib
{ rw right_distrib, },
}
end
/-- The ring homomorphism from the colimit commutative ring to the cone point of any other cocone. -/
def desc_morphism (s : cocone F) : colimit F ⟶ s.X :=
{ to_fun := desc_fun F s,
map_one' := rfl,
map_zero' := rfl,
map_add' := λ x y, by { induction x; induction y; refl },
map_mul' := λ x y, by { induction x; induction y; refl }, }
/-- Evidence that the proposed colimit is the colimit. -/
def colimit_is_colimit : is_colimit (colimit_cocone F) :=
{ desc := λ s, desc_morphism F s,
uniq' := λ s m w,
begin
ext,
induction x,
induction x,
{ have w' := congr_fun (congr_arg (λ f : F.obj x_j ⟶ s.X, (f : F.obj x_j → s.X)) (w x_j)) x_x,
erw w',
refl, },
{ simp, },
{ simp, },
{ simp *, },
{ simp *, },
{ simp *, },
refl
end }.
instance has_colimits_CommRing : has_colimits CommRing :=
{ has_colimits_of_shape := λ J 𝒥,
{ has_colimit := λ F, by exactI
{ cocone := colimit_cocone F,
is_colimit := colimit_is_colimit F } } }
end CommRing.colimits
|
6f699769e42ca9739daf5ac1812dcd17250b961d | d31b9f832ff922a603f76cf32e0f3aa822640508 | /src/hott/hit/trunc.lean | 94c8a1abaea3bda2a0f7286aa2c8a04f6535f2ba | [
"Apache-2.0"
] | permissive | javra/hott3 | 6e7a9e72a991a2fae32e5764982e521dca617b16 | cd51f2ab2aa48c1246a188f9b525b30f76c3d651 | refs/heads/master | 1,585,819,679,148 | 1,531,232,382,000 | 1,536,682,965,000 | 154,294,022 | 0 | 0 | Apache-2.0 | 1,540,284,376,000 | 1,540,284,375,000 | null | UTF-8 | Lean | false | false | 6,073 | lean | /-
Copyright (c) 2015 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
n-truncation of types.
Ported from Coq HoTT
-/
/- The hit n-truncation is primitive, declared in init.hit. -/
import hott.types.sigma hott.types.pointed
universes u v w
hott_theory
namespace hott
open hott.is_trunc hott.eq hott.equiv hott.is_equiv function prod sum sigma
namespace trunc
@[hott, induction, priority 1500] protected def elim {n : ℕ₋₂} {A : Type _} {P : Type _}
[Pt : is_trunc n P] (H : A → P) : trunc n A → P :=
trunc.rec H
@[hott] protected def elim_on {n : ℕ₋₂} {A : Type _} {P : Type _} (aa : trunc n A)
[Pt : is_trunc n P] (H : A → P) : P :=
trunc.elim H aa
variables {X : Type _} {Y : Type _} {Z : Type _} {P : X → Type _} {m : ℕ₋₂} (n : ℕ₋₂) (A : Type _) (B : Type _)
@[hott] def untrunc_of_is_trunc [H : is_trunc m X] : trunc m X → X :=
trunc.rec id
variables (A n)
@[hott, instance] def is_equiv_tr [H : is_trunc n A] : is_equiv (@tr n A) :=
adjointify _
(untrunc_of_is_trunc)
(λaa, trunc.rec_on aa (λa, idp))
(λa, idp)
@[hott] def trunc_equiv [H : is_trunc n A] : trunc n A ≃ A :=
(equiv.mk tr (is_equiv_tr n A))⁻¹ᵉ
@[hott] def is_trunc_of_is_equiv_tr [H : is_equiv (@tr n A)] : is_trunc n A :=
is_trunc_is_equiv_closed_rev n (@tr n A) (by infer)
/- Functoriality -/
@[hott] def trunc_functor (f : X → Y) : trunc n X → trunc n Y :=
λxx, trunc.rec_on xx (λx, tr (f x))
@[hott] def trunc_functor_compose (g : Y → Z) (f : X → Y)
: trunc_functor n (g ∘ f) ~ trunc_functor n g ∘ trunc_functor n f :=
λxx, trunc.rec_on xx (λx, idp)
@[hott] def trunc_functor_id : trunc_functor n (@id A) ~ id :=
λxx, trunc.rec_on xx (λx, idp)
@[hott] def trunc_functor_cast {X Y : Type _} (n : ℕ₋₂) (p : X = Y) :
trunc_functor n (cast p) ~ cast (ap (trunc n) p) :=
begin
intro x, hinduction x using trunc.rec with x,
exact fn_tr_eq_tr_fn p (λy, tr) x ⬝ tr_eq_cast_ap _ _
end
@[hott] def is_equiv_trunc_functor (f : X → Y) [H : is_equiv f]
: is_equiv (trunc_functor n f) :=
adjointify _
(trunc_functor n f⁻¹ᶠ)
(λyy, trunc.rec_on yy (λy, ap tr (right_inv _ _)))
(λxx, trunc.rec_on xx (λx, ap tr (left_inv _ _)))
@[hott] def trunc_homotopy {f g : X → Y} (p : f ~ g) : trunc_functor n f ~ trunc_functor n g :=
λxx, trunc.rec_on xx (λx, ap tr (p x))
section
@[hott] def trunc_equiv_trunc (f : X ≃ Y) : trunc n X ≃ trunc n Y :=
equiv.mk _ (is_equiv_trunc_functor n f)
end
section
@[hott] def trunc_prod_equiv : trunc n (X × Y) ≃ trunc n X × trunc n Y :=
begin
fapply equiv.MK,
{ exact (λpp, trunc.rec_on pp (λp, (tr p.1, tr p.2))) },
{ intro p, induction p with xx yy,
hinduction xx with x, hinduction yy with y, exact tr (x,y) },
{ intro p, induction p with xx yy,
hinduction xx with x, hinduction yy with y, refl },
{ intro pp, hinduction pp with p, induction p, refl }
end
end
/- Propositional truncation -/
@[hott] def ttrunc (n : ℕ₋₂) (X : Type _) : n-Type :=
trunctype.mk (trunc n X) (by infer)
@[hott, hsimp] def carrier_ttrunc (n : ℕ₋₂) (X : Type _) : @coe_sort _ (hott.has_coe_to_sort n) (ttrunc n X) = trunc n X :=
by refl
@[hott, reducible] def merely (A : Type _) : Prop := ttrunc -1 A
notation `∥`:max A `∥`:0 := merely A
@[hott, reducible] def Exists (P : X → Type _) : Prop := ∥ sigma P ∥
@[hott, reducible] def or (A B : Type _) : Prop := ∥ A ⊎ B ∥
hott_theory_cmd "local notation `exists` binders `,` r:(scoped P, hott.trunc.Exists P) := r"
hott_theory_cmd "local notation `∃` binders `,` r:(scoped P, hott.trunc.Exists P) := r"
hott_theory_cmd "local notation [parsing_only] A ` \\/ ` B := hott.trunc.or A B"
hott_theory_cmd "local notation A ∨ B := hott.trunc.or A B"
@[hott, reducible] def merely.intro (a : A) : ∥ A ∥ := tr a
@[hott, reducible] def exists.intro (x : X) (p : P x) : ∃x, P x := tr ⟨x, p⟩
@[hott, reducible] def or.intro_left (x : X) : X ∨ Y := tr (inl x)
@[hott, reducible] def or.intro_right (y : Y) : X ∨ Y := tr (inr y)
-- to do: give induction attribute
@[hott] def merely.rec {A : Type u} {P : ∥A∥ → Type v} [Pt : Π (aa : ∥A∥), is_prop (P aa)]
(H : Π(a : A), P (tr a)) (x : ∥A∥) : P x :=
begin hinduction x with a, exact H a end
-- to do: give induction attribute
@[hott] def exists.elim {A : Type _} {p : A → Type _} {B : Type _} [is_prop B] (H : Exists p)
(H' : ∀ (a : A), p a → B) : B :=
begin hinduction H with x, induction x with a x, exact H' a x end
@[hott] def is_contr_of_merely_prop [H : is_prop A] (aa : merely A) : is_contr A :=
is_contr_of_inhabited_prop (trunc.rec_on aa id)
@[hott] def trunc_sigma_equiv : trunc n (Σ x, P x) ≃ trunc n (Σ x, trunc n (P x)) :=
begin
fapply equiv.MK; intro x,
{ hinduction x with p, exact tr ⟨p.1, tr p.2⟩ },
{ hinduction x with p, induction p with a p, hinduction p with p, exact tr ⟨a, p⟩ },
{ hinduction x with p, induction p with a p, hinduction p with p, refl },
{ hinduction x with p, induction p with a p, refl }
end
@[hott] def trunc_sigma_equiv_of_is_trunc [H : is_trunc n X]
: trunc n (Σ x, P x) ≃ Σ x, trunc n (P x) :=
calc
trunc n (Σ x, P x) ≃ trunc n (Σ x, trunc n (P x)) : trunc_sigma_equiv _
... ≃ Σ x, trunc n (P x) : trunc_equiv _ _
/- the (non-dependent) universal property -/
@[hott] def trunc_arrow_equiv [H : is_trunc n B] :
(trunc n A → B) ≃ (A → B) :=
begin
fapply equiv.MK,
{ intros g a, exact g (tr a) },
{ intros f x, hinduction x with a, exact f a },
{ intro f, apply eq_of_homotopy, intro a, refl },
{ intro g, apply eq_of_homotopy, intro x, hinduction x, refl },
end
end trunc
end hott
|
be5003bfd8f8ef27f6ba9d6fe1b161793f812dfc | 1446f520c1db37e157b631385707cc28a17a595e | /src/Init/Lean/Meta/AppBuilder.lean | 2bb34dbf8f02b11c23045f7ef721331b2c7d0624 | [
"Apache-2.0"
] | permissive | bdbabiak/lean4 | cab06b8a2606d99a168dd279efdd404edb4e825a | 3f4d0d78b2ce3ef541cb643bbe21496bd6b057ac | refs/heads/master | 1,615,045,275,530 | 1,583,793,696,000 | 1,583,793,696,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 8,912 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Init.Lean.Meta.SynthInstance
namespace Lean
@[inline] def Expr.eq? (p : Expr) : Option (Expr × Expr × Expr) :=
if p.isAppOfArity `Eq 3 then
some (p.getArg! 0, p.getArg! 1, p.getArg! 2)
else
none
@[inline] def Expr.iff? (p : Expr) : Option (Expr × Expr) :=
if p.isAppOfArity `Iff 2 then
some (p.getArg! 0, p.getArg! 1)
else
none
@[inline] def Expr.heq? (p : Expr) : Option (Expr × Expr × Expr × Expr) :=
if p.isAppOfArity `HEq 4 then
some (p.getArg! 0, p.getArg! 1, p.getArg! 2, p.getArg! 4)
else
none
@[inline] def Expr.arrow? : Expr → Option (Expr × Expr)
| Expr.forallE _ α β _ => if β.hasLooseBVars then none else some (α, β)
| _ => none
namespace Meta
def mkEq (a b : Expr) : MetaM Expr := do
aType ← inferType a;
u ← getLevel aType;
pure $ mkApp3 (mkConst `Eq [u]) aType a b
def mkHEq (a b : Expr) : MetaM Expr := do
aType ← inferType a;
bType ← inferType b;
u ← getLevel aType;
pure $ mkApp4 (mkConst `HEq [u]) aType a bType b
def mkEqRefl (a : Expr) : MetaM Expr := do
aType ← inferType a;
u ← getLevel aType;
pure $ mkApp2 (mkConst `Eq.refl [u]) aType a
def mkHEqRefl (a : Expr) : MetaM Expr := do
aType ← inferType a;
u ← getLevel aType;
pure $ mkApp2 (mkConst `HEq.refl [u]) aType a
private def infer (h : Expr) : MetaM Expr := do
hType ← inferType h;
whnfD hType
def mkEqSymm (h : Expr) : MetaM Expr :=
if h.isAppOf `Eq.refl then pure h
else do
hType ← infer h;
match hType.eq? with
| some (α, a, b) => do u ← getLevel α; pure $ mkApp4 (mkConst `Eq.symm [u]) α a b h
| none => throwEx $ Exception.appBuilder `Eq.symm "equality proof expected" #[h]
def mkEqTrans (h₁ h₂ : Expr) : MetaM Expr :=
if h₁.isAppOf `Eq.refl then pure h₂
else if h₂.isAppOf `Eq.refl then pure h₁
else do
hType₁ ← infer h₁;
hType₂ ← infer h₂;
match hType₁.eq?, hType₂.eq? with
| some (α, a, b), some (_, _, c) =>
do u ← getLevel α; pure $ mkApp6 (mkConst `Eq.trans [u]) α a b c h₁ h₂
| _, _ => throwEx $ Exception.appBuilder `Eq.trans "equality proof expected" #[h₁, h₂]
def mkHEqSymm (h : Expr) : MetaM Expr :=
if h.isAppOf `HEq.refl then pure h
else do
hType ← infer h;
match hType.heq? with
| some (α, a, β, b) => do u ← getLevel α; pure $ mkApp5 (mkConst `HEq.symm [u]) α β a b h
| none => throwEx $ Exception.appBuilder `HEq.symm "heterogeneous equality proof expected" #[h]
def mkHEqTrans (h₁ h₂ : Expr) : MetaM Expr :=
if h₁.isAppOf `HEq.refl then pure h₂
else if h₂.isAppOf `HEq.refl then pure h₁
else do
hType₁ ← infer h₁;
hType₂ ← infer h₂;
match hType₁.heq?, hType₂.heq? with
| some (α, a, β, b), some (_, _, γ, c) => do
u ← getLevel α; pure $ mkApp8 (mkConst `HEq.trans [u]) α β γ a b c h₁ h₂
| _, _ => throwEx $ Exception.appBuilder `HEq.trans "heterogeneous equality proof expected" #[h₁, h₂]
def mkEqOfHEq (h : Expr) : MetaM Expr := do
hType ← infer h;
match hType.heq? with
| some (α, a, β, b) => do
unlessM (isDefEq α β) $ throwEx $ Exception.appBuilder `eqOfHEq "heterogeneous equality types are not definitionally equal" #[α, β];
u ← getLevel α;
pure $ mkApp4 (mkConst `eqOfHEq [u]) α a b h
| _ =>
throwEx $ Exception.appBuilder `HEq.trans "heterogeneous equality proof expected" #[h]
def mkCongrArg (f h : Expr) : MetaM Expr := do
hType ← infer h;
fType ← infer f;
match fType.arrow?, hType.eq? with
| some (α, β), some (_, a, b) => do
u ← getLevel α; v ← getLevel β; pure $ mkApp6 (mkConst `congrArg [u, v]) α β a b f h
| none, _ => throwEx $ Exception.appBuilder `congrArg "non-dependent function expected" #[f, h]
| _, none => throwEx $ Exception.appBuilder `congrArg "equality proof expected" #[f, h]
def mkCongrFun (h a : Expr) : MetaM Expr := do
hType ← infer h;
match hType.eq? with
| some (ρ, f, g) => do
ρ ← whnfD ρ;
match ρ with
| Expr.forallE n α β _ => do
let β' := Lean.mkLambda n BinderInfo.default α β;
u ← getLevel α;
v ← getLevel (mkApp β' a);
pure $ mkApp6 (mkConst `congrFun [u, v]) α β' f g h a
| _ => throwEx $ Exception.appBuilder `congrFun "equality proof between functions expected" #[h, a]
| _ => throwEx $ Exception.appBuilder `congrFun "equality proof expected" #[h, a]
def mkCongr (h₁ h₂ : Expr) : MetaM Expr := do
hType₁ ← infer h₁;
hType₂ ← infer h₂;
match hType₁.eq?, hType₂.eq? with
| some (ρ, f, g), some (α, a, b) => do
ρ ← whnfD ρ;
match ρ.arrow? with
| some (_, β) => do
u ← getLevel α;
v ← getLevel β;
pure $ mkApp8 (mkConst `congr [u, v]) α β f g a b h₁ h₂
| _ => throwEx $ Exception.appBuilder `congr "non-dependent function expected" #[h₁, h₂]
| _, _ => throwEx $ Exception.appBuilder `congr "equality proof expected" #[h₁, h₂]
private def mkAppMFinal (f : Expr) (args : Array Expr) (instMVars : Array MVarId) : MetaM Expr := do
instMVars.forM $ fun mvarId => do {
mvarDecl ← getMVarDecl mvarId;
mvarVal ← synthInstance mvarDecl.type;
assignExprMVar mvarId mvarVal
};
result ← instantiateMVars (mkAppN f args);
whenM (hasAssignableMVar result) $ throwEx $ Exception.appBuilder `mkAppM "result contains metavariables" #[result];
pure result
private partial def mkAppMAux (f : Expr) (xs : Array Expr) : Nat → Array Expr → Nat → Array MVarId → Expr → MetaM Expr
| i, args, j, instMVars, Expr.forallE n d b c => do
let d := d.instantiateRevRange j args.size args;
match c.binderInfo with
| BinderInfo.implicit => do mvar ← mkFreshExprMVar d n; mkAppMAux i (args.push mvar) j instMVars b
| BinderInfo.instImplicit => do mvar ← mkFreshExprMVar d n MetavarKind.synthetic; mkAppMAux i (args.push mvar) j (instMVars.push mvar.mvarId!) b
| _ =>
if h : i < xs.size then do
let x := xs.get ⟨i, h⟩;
xType ← inferType x;
condM (isDefEq d xType)
(mkAppMAux (i+1) (args.push x) j instMVars b)
(throwEx $ Exception.appTypeMismatch (mkAppN f args) x)
else
mkAppMFinal f args instMVars
| i, args, j, instMVars, type => do
let type := type.instantiateRevRange j args.size args;
type ← whnfD type;
if type.isForall then
mkAppMAux i args args.size instMVars type
else if i == xs.size then
mkAppMFinal f args instMVars
else
throwEx $ Exception.appBuilder `mkAppM "too many explicit arguments provided" (#[f] ++ xs)
def mkAppM (constName : Name) (xs : Array Expr) : MetaM Expr :=
traceCtx `Meta.appBuilder $ withNewMCtxDepth $ do
cinfo ← getConstInfo constName;
us ← cinfo.lparams.mapM $ fun _ => mkFreshLevelMVar;
let f := mkConst constName us;
let fType := cinfo.instantiateTypeLevelParams us;
mkAppMAux f xs 0 #[] 0 #[] fType
def mkEqNDRec (motive h1 h2 : Expr) : MetaM Expr :=
if h2.isAppOf `Eq.refl then pure h1
else do
h2Type ← infer h2;
match h2Type.eq? with
| none => throwEx $ Exception.appBuilder `Eq.ndrec "equality proof expected" #[h2]
| some (α, a, b) => do
u2 ← getLevel α;
motiveType ← infer motive;
match motiveType with
| Expr.forallE _ _ (Expr.sort u1 _) _ =>
pure $ mkAppN (mkConst `Eq.ndrec [u1, u2]) #[α, a, motive, h1, b, h2]
| _ => throwEx $ Exception.appBuilder `Eq.ndrec "invalid motive" #[motive]
def mkEqRec (motive h1 h2 : Expr) : MetaM Expr :=
if h2.isAppOf `Eq.refl then pure h1
else do
h2Type ← infer h2;
match h2Type.eq? with
| none => throwEx $ Exception.appBuilder `Eq.rec "equality proof expected" #[h2]
| some (α, a, b) => do
u2 ← getLevel α;
motiveType ← infer motive;
match motiveType with
| Expr.forallE _ _ (Expr.forallE _ _ (Expr.sort u1 _) _) _ =>
pure $ mkAppN (mkConst `Eq.rec [u1, u2]) #[α, a, motive, h1, b, h2]
| _ => throwEx $ Exception.appBuilder `Eq.rec "invalid motive" #[motive]
def mkEqMP (eqProof pr : Expr) : MetaM Expr :=
mkAppM `Eq.mp #[eqProof, pr]
def mkEqMPR (eqProof pr : Expr) : MetaM Expr :=
mkAppM `Eq.mpr #[eqProof, pr]
def mkNoConfusion (target : Expr) (h : Expr) : MetaM Expr := do
type ← inferType h;
type ← whnf type;
match type.eq? with
| none => throwEx $ Exception.appBuilder `noConfusion "equality expected" #[h]
| some (α, a, b) => do
α ← whnf α;
env ← getEnv;
let f := α.getAppFn;
matchConst env f (fun _ => throwEx $ Exception.appBuilder `noConfusion "inductive type expected" #[α]) $ fun cinfo us =>
match cinfo with
| ConstantInfo.inductInfo v => do
u ← getLevel target;
pure $ mkAppN (mkConst (mkNameStr v.name "noConfusion") (u :: us)) (α.getAppArgs ++ #[target, a, b, h])
| _ => throwEx $ Exception.appBuilder `noConfusion "inductive type expected" #[α]
end Meta
end Lean
|
e77c0dfe782f531fdd622e3a1881bd218343dbdd | 2c096fdfecf64e46ea7bc6ce5521f142b5926864 | /src/Lean/Meta/ExprDefEq.lean | bb57345edba23e06a3fc2baf0f1a782920bc0cab | [
"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 | Kha/lean4 | 1005785d2c8797ae266a303968848e5f6ce2fe87 | b99e11346948023cd6c29d248cd8f3e3fb3474cf | refs/heads/master | 1,693,355,498,027 | 1,669,080,461,000 | 1,669,113,138,000 | 184,748,176 | 0 | 0 | Apache-2.0 | 1,665,995,520,000 | 1,556,884,930,000 | Lean | UTF-8 | Lean | false | false | 77,343 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Meta.Offset
import Lean.Meta.UnificationHint
import Lean.Util.OccursCheck
namespace Lean.Meta
/--
Return true if `b` is of the form `mk a.1 ... a.n`, and `a` is not a constructor application.
If `a` and `b` are constructor applications, the method returns `false` to force `isDefEq` to use `isDefEqArgs`.
For example, suppose we are trying to solve the constraint
```
Fin.mk ?n ?h =?= Fin.mk n h
```
If this method is applied, the constraints are reduced to
```
n =?= (Fin.mk ?n ?h).1
h =?= (Fin.mk ?n ?h).2
```
The first constraint produces the assignment `?n := n`. Then, the second constraint is solved using proof irrelevance without
assigning `?h`.
TODO: investigate better solutions for the proof irrelevance issue. The problem above can happen is other scenarios.
That is, proof irrelevance may prevent us from performing desired mvar assignments.
-/
private def isDefEqEtaStruct (a b : Expr) : MetaM Bool := do
matchConstCtor b.getAppFn (fun _ => return false) fun ctorVal us => do
if (← useEtaStruct ctorVal.induct) then
matchConstCtor a.getAppFn (fun _ => go ctorVal us) fun _ _ => return false
else
return false
where
go ctorVal us := do
if ctorVal.numParams + ctorVal.numFields != b.getAppNumArgs then
trace[Meta.isDefEq.eta.struct] "failed, insufficient number of arguments at{indentExpr b}"
return false
else
if !isStructureLike (← getEnv) ctorVal.induct then
trace[Meta.isDefEq.eta.struct] "failed, type is not a structure{indentExpr b}"
return false
else if (← isDefEq (← inferType a) (← inferType b)) then
checkpointDefEq do
let args := b.getAppArgs
let params := args[:ctorVal.numParams].toArray
for i in [ctorVal.numParams : args.size] do
let j := i - ctorVal.numParams
let proj ← mkProjFn ctorVal us params j a
trace[Meta.isDefEq.eta.struct] "{a} =?= {b} @ [{j}], {proj} =?= {args[i]!}"
unless (← isDefEq proj args[i]!) do
trace[Meta.isDefEq.eta.struct] "failed, unexpect arg #{i}, projection{indentExpr proj}\nis not defeq to{indentExpr args[i]!}"
return false
return true
else
return false
/--
Try to solve `a := (fun x => t) =?= b` by eta-expanding `b`.
Remark: eta-reduction is not a good alternative even in a system without universe cumulativity like Lean.
Example:
```
(fun x : A => f ?m) =?= f
```
The left-hand side of the constraint above it not eta-reduced because `?m` is a metavariable. -/
private def isDefEqEta (a b : Expr) : MetaM Bool := do
if a.isLambda && !b.isLambda then
let bType ← inferType b
let bType ← whnfD bType
match bType with
| Expr.forallE n d _ c =>
let b' := mkLambda n c d (mkApp b (mkBVar 0))
checkpointDefEq <| Meta.isExprDefEqAux a b'
| _ => pure false
else
return false
/-- Support for `Lean.reduceBool` and `Lean.reduceNat` -/
def isDefEqNative (s t : Expr) : MetaM LBool := do
let isDefEq (s t) : MetaM LBool := toLBoolM <| Meta.isExprDefEqAux s t
let s? ← reduceNative? s
let t? ← reduceNative? t
match s?, t? with
| some s, some t => isDefEq s t
| some s, none => isDefEq s t
| none, some t => isDefEq s t
| none, none => pure LBool.undef
/-- Support for reducing Nat basic operations. -/
def isDefEqNat (s t : Expr) : MetaM LBool := do
let isDefEq (s t) : MetaM LBool := toLBoolM <| Meta.isExprDefEqAux s t
if s.hasFVar || s.hasMVar || t.hasFVar || t.hasMVar then
pure LBool.undef
else
let s? ← reduceNat? s
let t? ← reduceNat? t
match s?, t? with
| some s, some t => isDefEq s t
| some s, none => isDefEq s t
| none, some t => isDefEq s t
| none, none => pure LBool.undef
/-- Support for constraints of the form `("..." =?= String.mk cs)` -/
def isDefEqStringLit (s t : Expr) : MetaM LBool := do
let isDefEq (s t) : MetaM LBool := toLBoolM <| Meta.isExprDefEqAux s t
if s.isStringLit && t.isAppOf ``String.mk then
isDefEq s.toCtorIfLit t
else if s.isAppOf `String.mk && t.isStringLit then
isDefEq s t.toCtorIfLit
else
pure LBool.undef
/--
Return `true` if `e` is of the form `fun (x_1 ... x_n) => ?m x_1 ... x_n)`, and `?m` is unassigned.
Remark: `n` may be 0. -/
def isEtaUnassignedMVar (e : Expr) : MetaM Bool := do
match e.etaExpanded? with
| some (Expr.mvar mvarId) =>
if (← mvarId.isReadOnlyOrSyntheticOpaque) then
pure false
else if (← mvarId.isAssigned) then
pure false
else
pure true
| _ => pure false
private def trySynthPending (e : Expr) : MetaM Bool := do
let mvarId? ← getStuckMVar? e
match mvarId? with
| some mvarId => Meta.synthPending mvarId
| none => pure false
/--
Result type for `isDefEqArgsFirstPass`.
-/
inductive DefEqArgsFirstPassResult where
/--
Failed to establish that explicit arguments are def-eq.
Remark: higher output parameters, and parameters that depend on them
are postponed.
-/
| failed
/--
Succeeded. The array `postponedImplicit` contains the position
of the implicit arguments for which def-eq has been postponed.
`postponedHO` contains the higher order output parameters, and parameters
that depend on them. They should be processed after the implict ones.
`postponedHO` is used to handle applications involving functions that
contain higher order output parameters. Example:
```lean
getElem :
{cont : Type u_1} → {idx : Type u_2} → {elem : Type u_3} →
{dom : cont → idx → Prop} → [self : GetElem cont idx elem dom] →
(xs : cont) → (i : idx) → (h : dom xs i) → elem
```
The argumengs `dom` and `h` must be processed after all implicit arguments
otherwise higher-order unification problems are generated. See issue #1299,
when trying to solve
```
getElem ?a ?i ?h =?= getElem a i (Fin.val_lt_of_le i ...)
```
we have to solve the constraint
```
?dom a i.val =?= LT.lt i.val (Array.size a)
```
by solving after the instance has been synthesized, we reduce this constraint to
a simple check.
-/
| ok (postponedImplicit : Array Nat) (postponedHO : Array Nat)
/--
First pass for `isDefEqArgs`. We unify explicit arguments, *and* easy cases
Here, we say a case is easy if it is of the form
?m =?= t
or
t =?= ?m
where `?m` is unassigned.
These easy cases are not just an optimization. When
`?m` is a function, by assigning it to t, we make sure
a unification constraint (in the explicit part)
```
?m t =?= f s
```
is not higher-order.
We also handle the eta-expanded cases:
```
fun x₁ ... xₙ => ?m x₁ ... xₙ =?= t
t =?= fun x₁ ... xₙ => ?m x₁ ... xₙ
```
This is important because type inference often produces
eta-expanded terms, and without this extra case, we could
introduce counter intuitive behavior.
Pre: `paramInfo.size <= args₁.size = args₂.size`
See `DefEqArgsFirstPassResult` for additional information.
-/
private def isDefEqArgsFirstPass
(paramInfo : Array ParamInfo) (args₁ args₂ : Array Expr) : MetaM DefEqArgsFirstPassResult := do
let mut postponedImplicit := #[]
let mut postponedHO := #[]
for i in [:paramInfo.size] do
let info := paramInfo[i]!
let a₁ := args₁[i]!
let a₂ := args₂[i]!
if info.dependsOnHigherOrderOutParam || info.higherOrderOutParam then
trace[Meta.isDefEq] "found messy {a₁} =?= {a₂}"
postponedHO := postponedHO.push i
else if info.isExplicit then
unless (← Meta.isExprDefEqAux a₁ a₂) do
return .failed
else if (← isEtaUnassignedMVar a₁ <||> isEtaUnassignedMVar a₂) then
unless (← Meta.isExprDefEqAux a₁ a₂) do
return .failed
else
postponedImplicit := postponedImplicit.push i
return .ok postponedImplicit postponedHO
private partial def isDefEqArgs (f : Expr) (args₁ args₂ : Array Expr) : MetaM Bool := do
unless args₁.size == args₂.size do return false
let finfo ← getFunInfoNArgs f args₁.size
let .ok postponedImplicit postponedHO ← isDefEqArgsFirstPass finfo.paramInfo args₁ args₂ | pure false
-- finfo.paramInfo.size may be smaller than args₁.size
for i in [finfo.paramInfo.size:args₁.size] do
unless (← Meta.isExprDefEqAux args₁[i]! args₂[i]!) do
return false
for i in postponedImplicit do
/- Second pass: unify implicit arguments.
In the second pass, we make sure we are unfolding at
least non reducible definitions (default setting). -/
let a₁ := args₁[i]!
let a₂ := args₂[i]!
let info := finfo.paramInfo[i]!
if info.isInstImplicit then
discard <| trySynthPending a₁
discard <| trySynthPending a₂
unless (← withAtLeastTransparency TransparencyMode.default <| Meta.isExprDefEqAux a₁ a₂) do
return false
for i in postponedHO do
let a₁ := args₁[i]!
let a₂ := args₂[i]!
let info := finfo.paramInfo[i]!
if info.isInstImplicit then
unless (← withAtLeastTransparency TransparencyMode.default <| Meta.isExprDefEqAux a₁ a₂) do
return false
else
unless (← Meta.isExprDefEqAux a₁ a₂) do
return false
return true
/--
Check whether the types of the free variables at `fvars` are
definitionally equal to the types at `ds₂`.
Pre: `fvars.size == ds₂.size`
This method also updates the set of local instances, and invokes
the continuation `k` with the updated set.
We can't use `withNewLocalInstances` because the `isDeq fvarType d₂`
may use local instances. -/
@[specialize] partial def isDefEqBindingDomain (fvars : Array Expr) (ds₂ : Array Expr) (k : MetaM Bool) : MetaM Bool :=
let rec loop (i : Nat) := do
if h : i < fvars.size then do
let fvar := fvars.get ⟨i, h⟩
let fvarDecl ← getFVarLocalDecl fvar
let fvarType := fvarDecl.type
let d₂ := ds₂[i]!
if (← Meta.isExprDefEqAux fvarType d₂) then
match (← isClass? fvarType) with
| some className => withNewLocalInstance className fvar <| loop (i+1)
| none => loop (i+1)
else
pure false
else
k
loop 0
/-- Auxiliary function for `isDefEqBinding` for handling binders `forall/fun`.
It accumulates the new free variables in `fvars`, and declare them at `lctx`.
We use the domain types of `e₁` to create the new free variables.
We store the domain types of `e₂` at `ds₂`. -/
private partial def isDefEqBindingAux (lctx : LocalContext) (fvars : Array Expr) (e₁ e₂ : Expr) (ds₂ : Array Expr) : MetaM Bool :=
let process (n : Name) (d₁ d₂ b₁ b₂ : Expr) : MetaM Bool := do
let d₁ := d₁.instantiateRev fvars
let d₂ := d₂.instantiateRev fvars
let fvarId ← mkFreshFVarId
let lctx := lctx.mkLocalDecl fvarId n d₁
let fvars := fvars.push (mkFVar fvarId)
isDefEqBindingAux lctx fvars b₁ b₂ (ds₂.push d₂)
match e₁, e₂ with
| Expr.forallE n d₁ b₁ _, Expr.forallE _ d₂ b₂ _ => process n d₁ d₂ b₁ b₂
| Expr.lam n d₁ b₁ _, Expr.lam _ d₂ b₂ _ => process n d₁ d₂ b₁ b₂
| _, _ =>
withReader (fun ctx => { ctx with lctx := lctx }) do
isDefEqBindingDomain fvars ds₂ do
Meta.isExprDefEqAux (e₁.instantiateRev fvars) (e₂.instantiateRev fvars)
@[inline] private def isDefEqBinding (a b : Expr) : MetaM Bool := do
let lctx ← getLCtx
isDefEqBindingAux lctx #[] a b #[]
private def checkTypesAndAssign (mvar : Expr) (v : Expr) : MetaM Bool :=
withTraceNode `Meta.isDefEq.assign.checkTypes (return m!"{exceptBoolEmoji ·} ({mvar} : {← inferType mvar}) := ({v} : {← inferType v})") do
if !mvar.isMVar then
trace[Meta.isDefEq.assign.checkTypes] "metavariable expected"
return false
else
-- must check whether types are definitionally equal or not, before assigning and returning true
let mvarType ← inferType mvar
let vType ← inferType v
if (← withTransparency TransparencyMode.default <| Meta.isExprDefEqAux mvarType vType) then
mvar.mvarId!.assign v
pure true
else
pure false
/--
Auxiliary method for solving constraints of the form `?m xs := v`.
It creates a lambda using `mkLambdaFVars ys v`, where `ys` is a superset of `xs`.
`ys` is often equal to `xs`. It is a bigger when there are let-declaration dependencies in `xs`.
For example, suppose we have `xs` of the form `#[a, c]` where
```
a : Nat
b : Nat := f a
c : b = a
```
In this scenario, the type of `?m` is `(x1 : Nat) -> (x2 : f x1 = x1) -> C[x1, x2]`,
and type of `v` is `C[a, c]`. Note that, `?m a c` is type correct since `f a = a` is definitionally equal
to the type of `c : b = a`, and the type of `?m a c` is equal to the type of `v`.
Note that `fun xs => v` is the term `fun (x1 : Nat) (x2 : b = x1) => v` which has type
`(x1 : Nat) -> (x2 : b = x1) -> C[x1, x2]` which is not definitionally equal to the type of `?m`,
and may not even be type correct.
The issue here is that we are not capturing the `let`-declarations.
This method collects let-declarations `y` occurring between `xs[0]` and `xs.back` s.t.
some `x` in `xs` depends on `y`.
`ys` is the `xs` with these extra let-declarations included.
In the example above, `ys` is `#[a, b, c]`, and `mkLambdaFVars ys v` produces
`fun a => let b := f a; fun (c : b = a) => v` which has a type definitionally equal to the type of `?m`.
Recall that the method `checkAssignment` ensures `v` does not contain offending `let`-declarations.
This method assumes that for any `xs[i]` and `xs[j]` where `i < j`, we have that `index of xs[i]` < `index of xs[j]`.
where the index is the position in the local context.
-/
private partial def mkLambdaFVarsWithLetDeps (xs : Array Expr) (v : Expr) : MetaM (Option Expr) := do
if not (← hasLetDeclsInBetween) then
mkLambdaFVars xs v
else
let ys ← addLetDeps
mkLambdaFVars ys v
where
/-- Return true if there are let-declarions between `xs[0]` and `xs[xs.size-1]`.
We use it a quick-check to avoid the more expensive collection procedure. -/
hasLetDeclsInBetween : MetaM Bool := do
let check (lctx : LocalContext) : Bool := Id.run do
let start := lctx.getFVar! xs[0]! |>.index
let stop := lctx.getFVar! xs.back |>.index
for i in [start+1:stop] do
match lctx.getAt? i with
| some localDecl =>
if localDecl.isLet then
return true
| _ => pure ()
return false
if xs.size <= 1 then
return false
else
return check (← getLCtx)
/-- Traverse `e` and stores in the state `NameHashSet` any let-declaration with index greater than `(← read)`.
The context `Nat` is the position of `xs[0]` in the local context. -/
collectLetDeclsFrom (e : Expr) : ReaderT Nat (StateRefT FVarIdHashSet MetaM) Unit := do
let rec visit (e : Expr) : MonadCacheT Expr Unit (ReaderT Nat (StateRefT FVarIdHashSet MetaM)) Unit :=
checkCache e fun _ => do
match e with
| Expr.forallE _ d b _ => visit d; visit b
| Expr.lam _ d b _ => visit d; visit b
| Expr.letE _ t v b _ => visit t; visit v; visit b
| Expr.app f a => visit f; visit a
| Expr.mdata _ b => visit b
| Expr.proj _ _ b => visit b
| Expr.fvar fvarId =>
let localDecl ← fvarId.getDecl
if localDecl.isLet && localDecl.index > (← read) then
modify fun s => s.insert localDecl.fvarId
| _ => pure ()
visit (← instantiateMVars e) |>.run
/--
Auxiliary definition for traversing all declarations between `xs[0]` ... `xs.back` backwards.
The `Nat` argument is the current position in the local context being visited, and it is less than
or equal to the position of `xs.back` in the local context.
The `Nat` context `(← read)` is the position of `xs[0]` in the local context.
-/
collectLetDepsAux : Nat → ReaderT Nat (StateRefT FVarIdHashSet MetaM) Unit
| 0 => return ()
| i+1 => do
if i+1 == (← read) then
return ()
else
match (← getLCtx).getAt? (i+1) with
| none => collectLetDepsAux i
| some localDecl =>
if (← get).contains localDecl.fvarId then
collectLetDeclsFrom localDecl.type
match localDecl.value? with
| some val => collectLetDeclsFrom val
| _ => pure ()
collectLetDepsAux i
/-- Computes the set `ys`. It is a set of `FVarId`s, -/
collectLetDeps : MetaM FVarIdHashSet := do
let lctx ← getLCtx
let start := lctx.getFVar! xs[0]! |>.index
let stop := lctx.getFVar! xs.back |>.index
let s := xs.foldl (init := {}) fun s x => s.insert x.fvarId!
let (_, s) ← collectLetDepsAux stop |>.run start |>.run s
return s
/-- Computes the array `ys` containing let-decls between `xs[0]` and `xs.back` that
some `x` in `xs` depends on. -/
addLetDeps : MetaM (Array Expr) := do
let lctx ← getLCtx
let s ← collectLetDeps
/- Convert `s` into the array `ys` -/
let start := lctx.getFVar! xs[0]! |>.index
let stop := lctx.getFVar! xs.back |>.index
let mut ys := #[]
for i in [start:stop+1] do
match lctx.getAt? i with
| none => pure ()
| some localDecl =>
if s.contains localDecl.fvarId then
ys := ys.push localDecl.toExpr
return ys
/-!
Each metavariable is declared in a particular local context.
We use the notation `C |- ?m : t` to denote a metavariable `?m` that
was declared at the local context `C` with type `t` (see `MetavarDecl`).
We also use `?m@C` as a shorthand for `C |- ?m : t` where `t` is the type of `?m`.
The following method process the unification constraint
?m@C a₁ ... aₙ =?= t
We say the unification constraint is a pattern IFF
1) `a₁ ... aₙ` are pairwise distinct free variables that are *not* let-variables.
2) `a₁ ... aₙ` are not in `C`
3) `t` only contains free variables in `C` and/or `{a₁, ..., aₙ}`
4) For every metavariable `?m'@C'` occurring in `t`, `C'` is a subprefix of `C`
5) `?m` does not occur in `t`
Claim: we don't have to check free variable declarations. That is,
if `t` contains a reference to `x : A := v`, we don't need to check `v`.
Reason: The reference to `x` is a free variable, and it must be in `C` (by 1 and 3).
If `x` is in `C`, then any metavariable occurring in `v` must have been defined in a strict subprefix of `C`.
So, condition 4 and 5 are satisfied.
If the conditions above have been satisfied, then the
solution for the unification constrain is
?m := fun a₁ ... aₙ => t
Now, we consider some workarounds/approximations.
A1) Suppose `t` contains a reference to `x : A := v` and `x` is not in `C` (failed condition 3)
(precise) solution: unfold `x` in `t`.
A2) Suppose some `aᵢ` is in `C` (failed condition 2)
(approximated) solution (when `config.quasiPatternApprox` is set to true) :
ignore condition and also use
?m := fun a₁ ... aₙ => t
Here is an example where this approximation fails:
Given `C` containing `a : nat`, consider the following two constraints
?m@C a =?= a
?m@C b =?= a
If we use the approximation in the first constraint, we get
?m := fun x => x
when we apply this solution to the second one we get a failure.
IMPORTANT: When applying this approximation we need to make sure the
abstracted term `fun a₁ ... aₙ => t` is type correct. The check
can only be skipped in the pattern case described above. Consider
the following example. Given the local context
(α : Type) (a : α)
we try to solve
?m α =?= @id α a
If we use the approximation above we obtain:
?m := (fun α' => @id α' a)
which is a type incorrect term. `a` has type `α` but it is expected to have
type `α'`.
The problem occurs because the right hand side contains a free variable
`a` that depends on the free variable `α` being abstracted. Note that
this dependency cannot occur in patterns.
We can address this by type checking
the term after abstraction. This is not a significant performance
bottleneck because this case doesn't happen very often in practice
(262 times when compiling stdlib on Jan 2018). The second example
is trickier, but it also occurs less frequently (8 times when compiling
stdlib on Jan 2018, and all occurrences were at Init/Control when
we define monads and auxiliary combinators for them).
We considered three options for the addressing the issue on the second example:
A3) `a₁ ... aₙ` are not pairwise distinct (failed condition 1).
In Lean3, we would try to approximate this case using an approach similar to A2.
However, this approximation complicates the code, and is never used in the
Lean3 stdlib and mathlib.
A4) `t` contains a metavariable `?m'@C'` where `C'` is not a subprefix of `C`.
If `?m'` is assigned, we substitute.
If not, we create an auxiliary metavariable with a smaller scope.
Actually, we let `elimMVarDeps` at `MetavarContext.lean` to perform this step.
A5) If some `aᵢ` is not a free variable,
then we use first-order unification (if `config.foApprox` is set to true)
?m a_1 ... a_i a_{i+1} ... a_{i+k} =?= f b_1 ... b_k
reduces to
?M a_1 ... a_i =?= f
a_{i+1} =?= b_1
...
a_{i+k} =?= b_k
A6) If (m =?= v) is of the form
?m a_1 ... a_n =?= ?m b_1 ... b_k
then we use first-order unification (if `config.foApprox` is set to true)
A7) When `foApprox`, we may use another approximation (`constApprox`) for solving constraints of the form
```
?m s₁ ... sₙ =?= t
```
where `s₁ ... sₙ` are arbitrary terms. We solve them by assigning the constant function to `?m`.
```
?m := fun _ ... _ => t
```
In general, this approximation may produce bad solutions, and may prevent coercions from being tried.
For example, consider the term `pure (x > 0)` with inferred type `?m Prop` and expected type `IO Bool`.
In this situation, the
elaborator generates the unification constraint
```
?m Prop =?= IO Bool
```
It is not a higher-order pattern, nor first-order approximation is applicable. However, constant approximation
produces the bogus solution `?m := fun _ => IO Bool`, and prevents the system from using the coercion from
the decidable proposition `x > 0` to `Bool`.
On the other hand, the constant approximation is desirable for elaborating the term
```
let f (x : _) := pure "hello"; f ()
```
with expected type `IO String`.
In this example, the following unification contraint is generated.
```
?m () String =?= IO String
```
It is not a higher-order pattern, first-order approximation reduces it to
```
?m () =?= IO
```
which fails to be solved. However, constant approximation solves it by assigning
```
?m := fun _ => IO
```
Note that `f`s type is `(x : ?α) -> ?m x String`. The metavariable `?m` may depend on `x`.
If `constApprox` is set to true, we use constant approximation. Otherwise, we use a heuristic to decide
whether we should apply it or not. The heuristic is based on observing where the constraints above come from.
In the first example, the constraint `?m Prop =?= IO Bool` come from polymorphic method where `?m` is expected to
be a **function** of type `Type -> Type`. In the second example, the first argument of `?m` is used to model
a **potential** dependency on `x`. By using constant approximation here, we are just saying the type of `f`
does **not** depend on `x`. We claim this is a reasonable approximation in practice. Moreover, it is expected
by any functional programmer used to non-dependently type languages (e.g., Haskell).
We distinguish the two cases above by using the field `numScopeArgs` at `MetavarDecl`. This fiels tracks
how many metavariable arguments are representing dependencies.
-/
def mkAuxMVar (lctx : LocalContext) (localInsts : LocalInstances) (type : Expr) (numScopeArgs : Nat := 0) : MetaM Expr := do
mkFreshExprMVarAt lctx localInsts type MetavarKind.natural Name.anonymous numScopeArgs
namespace CheckAssignment
builtin_initialize checkAssignmentExceptionId : InternalExceptionId ← registerInternalExceptionId `checkAssignment
builtin_initialize outOfScopeExceptionId : InternalExceptionId ← registerInternalExceptionId `outOfScope
structure State where
cache : ExprStructMap Expr := {}
structure Context where
mvarId : MVarId
mvarDecl : MetavarDecl
fvars : Array Expr
hasCtxLocals : Bool
rhs : Expr
abbrev CheckAssignmentM := ReaderT Context $ StateRefT State MetaM
def throwCheckAssignmentFailure : CheckAssignmentM α :=
throw <| Exception.internal checkAssignmentExceptionId
def throwOutOfScopeFVar : CheckAssignmentM α :=
throw <| Exception.internal outOfScopeExceptionId
private def findCached? (e : Expr) : CheckAssignmentM (Option Expr) := do
return (← get).cache.find? e
private def cache (e r : Expr) : CheckAssignmentM Unit := do
modify fun s => { s with cache := s.cache.insert e r }
instance : MonadCache Expr Expr CheckAssignmentM where
findCached? := findCached?
cache := cache
private def addAssignmentInfo (msg : MessageData) : CheckAssignmentM MessageData := do
let ctx ← read
return m!"{msg} @ {mkMVar ctx.mvarId} {ctx.fvars} := {ctx.rhs}"
@[inline] def run (x : CheckAssignmentM Expr) (mvarId : MVarId) (fvars : Array Expr) (hasCtxLocals : Bool) (v : Expr) : MetaM (Option Expr) := do
let mvarDecl ← mvarId.getDecl
let ctx := { mvarId := mvarId, mvarDecl := mvarDecl, fvars := fvars, hasCtxLocals := hasCtxLocals, rhs := v : Context }
let x : CheckAssignmentM (Option Expr) :=
catchInternalIds [outOfScopeExceptionId, checkAssignmentExceptionId]
(do let e ← x; return some e)
(fun _ => pure none)
x.run ctx |>.run' {}
mutual
partial def checkFVar (fvar : Expr) : CheckAssignmentM Expr := do
let ctxMeta ← readThe Meta.Context
let ctx ← read
if ctx.mvarDecl.lctx.containsFVar fvar then
pure fvar
else
let lctx := ctxMeta.lctx
match lctx.findFVar? fvar with
| some (.ldecl (value := v) ..) => check v
| _ =>
if ctx.fvars.contains fvar then pure fvar
else
traceM `Meta.isDefEq.assign.outOfScopeFVar do addAssignmentInfo fvar
throwOutOfScopeFVar
partial def checkMVar (mvar : Expr) : CheckAssignmentM Expr := do
let mvarId := mvar.mvarId!
let ctx ← read
if mvarId == ctx.mvarId then
traceM `Meta.isDefEq.assign.occursCheck <| addAssignmentInfo "occurs check failed"
throwCheckAssignmentFailure
else match (← getExprMVarAssignment? mvarId) with
| some v => check v
| none =>
match (← mvarId.findDecl?) with
| none => throwUnknownMVar mvarId
| some mvarDecl =>
if ctx.hasCtxLocals then
throwCheckAssignmentFailure -- It is not a pattern, then we fail and fall back to FO unification
else if mvarDecl.lctx.isSubPrefixOf ctx.mvarDecl.lctx ctx.fvars then
/- The local context of `mvar` - free variables being abstracted is a subprefix of the metavariable being assigned.
We "substract" variables being abstracted because we use `elimMVarDeps` -/
pure mvar
else if mvarDecl.depth != (← getMCtx).depth || mvarDecl.kind.isSyntheticOpaque then
traceM `Meta.isDefEq.assign.readOnlyMVarWithBiggerLCtx <| addAssignmentInfo (mkMVar mvarId)
throwCheckAssignmentFailure
else
let ctxMeta ← readThe Meta.Context
if ctxMeta.config.ctxApprox && ctx.mvarDecl.lctx.isSubPrefixOf mvarDecl.lctx then
/- Create an auxiliary metavariable with a smaller context and "checked" type.
Note that `mvarType` may be different from `mvarDecl.type`. Example: `mvarType` contains
a metavariable that we also need to reduce the context.
We remove from `ctx.mvarDecl.lctx` any variable that is not in `mvarDecl.lctx`
or in `ctx.fvars`. We don't need to remove the ones in `ctx.fvars` because
`elimMVarDeps` will take care of them.
First, we collect `toErase` the variables that need to be erased.
Notat that if a variable is `ctx.fvars`, but it depends on variable at `toErase`,
we must also erase it.
-/
let toErase ← mvarDecl.lctx.foldlM (init := #[]) fun toErase localDecl => do
if ctx.mvarDecl.lctx.contains localDecl.fvarId then
return toErase
else if ctx.fvars.any fun fvar => fvar.fvarId! == localDecl.fvarId then
if (← findLocalDeclDependsOn localDecl fun fvarId => toErase.contains fvarId) then
-- localDecl depends on a variable that will be erased. So, we must add it to `toErase` too
return toErase.push localDecl.fvarId
else
return toErase
else
return toErase.push localDecl.fvarId
let lctx := toErase.foldl (init := mvarDecl.lctx) fun lctx toEraseFVar =>
lctx.erase toEraseFVar
/- Compute new set of local instances. -/
let localInsts := mvarDecl.localInstances.filter fun localInst => toErase.contains localInst.fvar.fvarId!
let mvarType ← check mvarDecl.type
let newMVar ← mkAuxMVar lctx localInsts mvarType mvarDecl.numScopeArgs
mvarId.assign newMVar
pure newMVar
else
traceM `Meta.isDefEq.assign.readOnlyMVarWithBiggerLCtx <| addAssignmentInfo (mkMVar mvarId)
throwCheckAssignmentFailure
/--
Auxiliary function used to "fix" subterms of the form `?m x_1 ... x_n` where `x_i`s are free variables,
and one of them is out-of-scope.
See `Expr.app` case at `check`.
If `ctxApprox` is true, then we solve this case by creating a fresh metavariable ?n with the correct scope,
an assigning `?m := fun _ ... _ => ?n` -/
partial def assignToConstFun (mvar : Expr) (numArgs : Nat) (newMVar : Expr) : MetaM Bool := do
let mvarType ← inferType mvar
forallBoundedTelescope mvarType numArgs fun xs _ => do
if xs.size != numArgs then pure false
else
let some v ← mkLambdaFVarsWithLetDeps xs newMVar | return false
match (← checkAssignmentAux mvar.mvarId! #[] false v) with
| some v => checkTypesAndAssign mvar v
| none => return false
-- See checkAssignment
partial def checkAssignmentAux (mvarId : MVarId) (fvars : Array Expr) (hasCtxLocals : Bool) (v : Expr) : MetaM (Option Expr) := do
run (check v) mvarId fvars hasCtxLocals v
partial def checkApp (e : Expr) : CheckAssignmentM Expr :=
e.withApp fun f args => do
let ctxMeta ← readThe Meta.Context
if f.isMVar && ctxMeta.config.ctxApprox && args.all Expr.isFVar then
let f ← check f
catchInternalId outOfScopeExceptionId
(do
let args ← args.mapM check
return mkAppN f args)
(fun ex => do
if !f.isMVar then
throw ex
else if (← f.mvarId!.isDelayedAssigned) then
throw ex
else
let eType ← inferType e
let mvarType ← check eType
/- Create an auxiliary metavariable with a smaller context and "checked" type, assign `?f := fun _ => ?newMVar`
Note that `mvarType` may be different from `eType`. -/
let ctx ← read
let newMVar ← mkAuxMVar ctx.mvarDecl.lctx ctx.mvarDecl.localInstances mvarType
if (← assignToConstFun f args.size newMVar) then
pure newMVar
else
throw ex)
else
let f ← check f
let args ← args.mapM check
return mkAppN f args
partial def check (e : Expr) : CheckAssignmentM Expr := do
if !e.hasExprMVar && !e.hasFVar then
return e
else checkCache e fun _ =>
match e with
| Expr.mdata _ b => return e.updateMData! (← check b)
| Expr.proj _ _ s => return e.updateProj! (← check s)
| Expr.lam _ d b _ => return e.updateLambdaE! (← check d) (← check b)
| Expr.forallE _ d b _ => return e.updateForallE! (← check d) (← check b)
| Expr.letE _ t v b _ => return e.updateLet! (← check t) (← check v) (← check b)
| Expr.bvar .. => return e
| Expr.sort .. => return e
| Expr.const .. => return e
| Expr.lit .. => return e
| Expr.fvar .. => checkFVar e
| Expr.mvar .. => checkMVar e
| Expr.app .. =>
checkApp e
-- TODO: investigate whether the following feature is too expensive or not
/-
catchInternalIds [checkAssignmentExceptionId, outOfScopeExceptionId]
(checkApp e)
fun ex => do
let e' ← whnfR e
if e != e' then
check e'
else
throw ex
-/
end
end CheckAssignment
namespace CheckAssignmentQuick
partial def check
(hasCtxLocals : Bool)
(mctx : MetavarContext) (lctx : LocalContext) (mvarDecl : MetavarDecl) (mvarId : MVarId) (fvars : Array Expr) (e : Expr) : Bool :=
let rec visit (e : Expr) : Bool :=
if !e.hasExprMVar && !e.hasFVar then
true
else match e with
| Expr.mdata _ b => visit b
| Expr.proj _ _ s => visit s
| Expr.app f a => visit f && visit a
| Expr.lam _ d b _ => visit d && visit b
| Expr.forallE _ d b _ => visit d && visit b
| Expr.letE _ t v b _ => visit t && visit v && visit b
| Expr.bvar .. => true
| Expr.sort .. => true
| Expr.const .. => true
| Expr.lit .. => true
| Expr.fvar fvarId .. =>
if mvarDecl.lctx.contains fvarId then true
else match lctx.find? fvarId with
| some (LocalDecl.ldecl ..) => false -- need expensive CheckAssignment.check
| _ =>
if fvars.any fun x => x.fvarId! == fvarId then true
else false -- We could throw an exception here, but we would have to use ExceptM. So, we let CheckAssignment.check do it
| Expr.mvar mvarId' =>
match mctx.getExprAssignmentCore? mvarId' with
| some _ => false -- use CheckAssignment.check to instantiate
| none =>
if mvarId' == mvarId then false -- occurs check failed, use CheckAssignment.check to throw exception
else match mctx.findDecl? mvarId' with
| none => false
| some mvarDecl' =>
if hasCtxLocals then false -- use CheckAssignment.check
else if mvarDecl'.lctx.isSubPrefixOf mvarDecl.lctx fvars then true
else false -- use CheckAssignment.check
visit e
end CheckAssignmentQuick
/--
Auxiliary function for handling constraints of the form `?m a₁ ... aₙ =?= v`.
It will check whether we can perform the assignment
```
?m := fun fvars => v
```
The result is `none` if the assignment can't be performed.
The result is `some newV` where `newV` is a possibly updated `v`. This method may need
to unfold let-declarations. -/
def checkAssignment (mvarId : MVarId) (fvars : Array Expr) (v : Expr) : MetaM (Option Expr) := do
/- Check whether `mvarId` occurs in the type of `fvars` or not. If it does, return `none`
to prevent us from creating the cyclic assignment `?m := fun fvars => v` -/
for fvar in fvars do
unless (← occursCheck mvarId (← inferType fvar)) do
return none
if !v.hasExprMVar && !v.hasFVar then
pure (some v)
else
let mvarDecl ← mvarId.getDecl
let hasCtxLocals := fvars.any fun fvar => mvarDecl.lctx.containsFVar fvar
let ctx ← read
let mctx ← getMCtx
if CheckAssignmentQuick.check hasCtxLocals mctx ctx.lctx mvarDecl mvarId fvars v then
pure (some v)
else
let v ← instantiateMVars v
CheckAssignment.checkAssignmentAux mvarId fvars hasCtxLocals v
private def processAssignmentFOApproxAux (mvar : Expr) (args : Array Expr) (v : Expr) : MetaM Bool :=
match v with
| .mdata _ e => processAssignmentFOApproxAux mvar args e
| Expr.app f a =>
if args.isEmpty then
pure false
else
Meta.isExprDefEqAux args.back a <&&> Meta.isExprDefEqAux (mkAppRange mvar 0 (args.size - 1) args) f
| _ => pure false
/--
Auxiliary method for applying first-order unification. It is an approximation.
Remark: this method is trying to solve the unification constraint:
?m a₁ ... aₙ =?= v
It is uses processAssignmentFOApproxAux, if it fails, it tries to unfold `v`.
We have added support for unfolding here because we want to be able to solve unification problems such as
?m Unit =?= ITactic
where `ITactic` is defined as
def ITactic := Tactic Unit
-/
private partial def processAssignmentFOApprox (mvar : Expr) (args : Array Expr) (v : Expr) : MetaM Bool :=
let rec loop (v : Expr) := do
let cfg ← getConfig
if !cfg.foApprox then
pure false
else
trace[Meta.isDefEq.foApprox] "{mvar} {args} := {v}"
let v := v.headBeta
if (← checkpointDefEq <| processAssignmentFOApproxAux mvar args v) then
pure true
else
match (← unfoldDefinition? v) with
| none => pure false
| some v => loop v
loop v
private partial def simpAssignmentArgAux (e : Expr) : MetaM Expr := do
match e with
| .mdata _ e => simpAssignmentArgAux e
| .fvar fvarId =>
let some value ← fvarId.getValue? | return e
simpAssignmentArgAux value
| _ => return e
/-- Auxiliary procedure for processing `?m a₁ ... aₙ =?= v`.
We apply it to each `aᵢ`. It instantiates assigned metavariables if `aᵢ` is of the form `f[?n] b₁ ... bₘ`,
and then removes metadata, and zeta-expand let-decls. -/
private def simpAssignmentArg (arg : Expr) : MetaM Expr := do
let arg ← if arg.getAppFn.hasExprMVar then instantiateMVars arg else pure arg
simpAssignmentArgAux arg
/-- Assign `mvar := fun a_1 ... a_{numArgs} => v`.
We use it at `processConstApprox` and `isDefEqMVarSelf` -/
private def assignConst (mvar : Expr) (numArgs : Nat) (v : Expr) : MetaM Bool := do
let mvarDecl ← mvar.mvarId!.getDecl
forallBoundedTelescope mvarDecl.type numArgs fun xs _ => do
if xs.size != numArgs then
pure false
else
let some v ← mkLambdaFVarsWithLetDeps xs v | pure false
match (← checkAssignment mvar.mvarId! #[] v) with
| none => pure false
| some v =>
trace[Meta.isDefEq.constApprox] "{mvar} := {v}"
checkTypesAndAssign mvar v
/--
Auxiliary procedure for solving `?m args =?= v` when `args[:patternVarPrefix]` contains
only pairwise distinct free variables.
Let `args[:patternVarPrefix] = #[a₁, ..., aₙ]`, and `args[patternVarPrefix:] = #[b₁, ..., bᵢ]`,
this procedure first reduces the constraint to
```
?m a₁ ... aₙ =?= fun x₁ ... xᵢ => v
```
where the left-hand-side is a constant function.
Then, it tries to find the longest prefix `#[a₁, ..., aⱼ]` of `#[a₁, ..., aₙ]` such that the following assignment is valid.
```
?m := fun y₁ ... yⱼ => (fun y_{j+1} ... yₙ x₁ ... xᵢ => v)[a₁/y₁, .., aⱼ/yⱼ]
```
That is, after the longest prefix is found, we solve the contraint as the lhs was a pattern. See the definition of "pattern" above.
-/
private partial def processConstApprox (mvar : Expr) (args : Array Expr) (patternVarPrefix : Nat) (v : Expr) : MetaM Bool := do
trace[Meta.isDefEq.constApprox] "{mvar} {args} := {v}"
let rec defaultCase : MetaM Bool := assignConst mvar args.size v
let cfg ← getConfig
let mvarId := mvar.mvarId!
let mvarDecl ← mvarId.getDecl
let numArgs := args.size
if mvarDecl.numScopeArgs != numArgs && !cfg.constApprox then
return false
else if patternVarPrefix == 0 then
defaultCase
else
let argsPrefix : Array Expr := args[:patternVarPrefix]
let type ← instantiateForall mvarDecl.type argsPrefix
let suffixSize := numArgs - argsPrefix.size
forallBoundedTelescope type suffixSize fun xs _ => do
if xs.size != suffixSize then
defaultCase
else
let some v ← mkLambdaFVarsWithLetDeps xs v | defaultCase
let rec go (argsPrefix : Array Expr) (v : Expr) : MetaM Bool := do
trace[Meta.isDefEq] "processConstApprox.go {mvar} {argsPrefix} := {v}"
let rec cont : MetaM Bool := do
if argsPrefix.isEmpty then
defaultCase
else
let some v ← mkLambdaFVarsWithLetDeps #[argsPrefix.back] v | defaultCase
go argsPrefix.pop v
match (← checkAssignment mvarId argsPrefix v) with
| none => cont
| some vNew =>
let some vNew ← mkLambdaFVarsWithLetDeps argsPrefix vNew | cont
if argsPrefix.any (fun arg => mvarDecl.lctx.containsFVar arg) then
/- We need to type check `vNew` because abstraction using `mkLambdaFVars` may have produced
a type incorrect term. See discussion at A2 -/
(isTypeCorrect vNew <&&> checkTypesAndAssign mvar vNew) <||> cont
else
checkTypesAndAssign mvar vNew <||> cont
go argsPrefix v
/-- Tries to solve `?m a₁ ... aₙ =?= v` by assigning `?m`.
It assumes `?m` is unassigned. -/
private partial def processAssignment (mvarApp : Expr) (v : Expr) : MetaM Bool :=
withTraceNode `Meta.isDefEq.assign (return m!"{exceptBoolEmoji ·} {mvarApp} := {v}") do
let mvar := mvarApp.getAppFn
let mvarDecl ← mvar.mvarId!.getDecl
let rec process (i : Nat) (args : Array Expr) (v : Expr) := do
let cfg ← getConfig
let useFOApprox (args : Array Expr) : MetaM Bool :=
processAssignmentFOApprox mvar args v <||> processConstApprox mvar args i v
if h : i < args.size then
let arg := args.get ⟨i, h⟩
let arg ← simpAssignmentArg arg
let args := args.set ⟨i, h⟩ arg
match arg with
| Expr.fvar fvarId =>
if args[0:i].any fun prevArg => prevArg == arg then
useFOApprox args
else if mvarDecl.lctx.contains fvarId && !cfg.quasiPatternApprox then
useFOApprox args
else
process (i+1) args v
| _ =>
useFOApprox args
else
let v ← instantiateMVars v -- enforce A4
if v.getAppFn == mvar then
-- using A6
useFOApprox args
else
let mvarId := mvar.mvarId!
match (← checkAssignment mvarId args v) with
| none => useFOApprox args
| some v => do
trace[Meta.isDefEq.assign.beforeMkLambda] "{mvar} {args} := {v}"
let some v ← mkLambdaFVarsWithLetDeps args v | return false
if args.any (fun arg => mvarDecl.lctx.containsFVar arg) then
/- We need to type check `v` because abstraction using `mkLambdaFVars` may have produced
a type incorrect term. See discussion at A2 -/
if (← isTypeCorrect v) then
checkTypesAndAssign mvar v
else
trace[Meta.isDefEq.assign.typeError] "{mvar} := {v}"
useFOApprox args
else
checkTypesAndAssign mvar v
process 0 mvarApp.getAppArgs v
/--
Similar to processAssignment, but if it fails, compute v's whnf and try again.
This helps to solve constraints such as `?m =?= { α := ?m, ... }.α`
Note this is not perfect solution since we still fail occurs check for constraints such as
```lean
?m =?= List { α := ?m, β := Nat }.β
```
-/
private def processAssignment' (mvarApp : Expr) (v : Expr) : MetaM Bool := do
if (← processAssignment mvarApp v) then
return true
else
let vNew ← whnf v
if vNew != v then
if mvarApp == vNew then
return true
else
processAssignment mvarApp vNew
else
return false
private def isDeltaCandidate? (t : Expr) : MetaM (Option ConstantInfo) := do
match t.getAppFn with
| Expr.const c _ =>
match (← getConst? c) with
| r@(some info) => if info.hasValue then return r else return none
| _ => return none
| _ => pure none
/-- Auxiliary method for isDefEqDelta -/
private def isListLevelDefEq (us vs : List Level) : MetaM LBool :=
toLBoolM <| isListLevelDefEqAux us vs
/-- Auxiliary method for isDefEqDelta -/
private def isDefEqLeft (fn : Name) (t s : Expr) : MetaM LBool := do
trace[Meta.isDefEq.delta.unfoldLeft] fn
toLBoolM <| Meta.isExprDefEqAux t s
/-- Auxiliary method for isDefEqDelta -/
private def isDefEqRight (fn : Name) (t s : Expr) : MetaM LBool := do
trace[Meta.isDefEq.delta.unfoldRight] fn
toLBoolM <| Meta.isExprDefEqAux t s
/-- Auxiliary method for isDefEqDelta -/
private def isDefEqLeftRight (fn : Name) (t s : Expr) : MetaM LBool := do
trace[Meta.isDefEq.delta.unfoldLeftRight] fn
toLBoolM <| Meta.isExprDefEqAux t s
/-- Try to solve `f a₁ ... aₙ =?= f b₁ ... bₙ` by solving `a₁ =?= b₁, ..., aₙ =?= bₙ`.
Auxiliary method for isDefEqDelta -/
private def tryHeuristic (t s : Expr) : MetaM Bool := do
let mut t := t
let mut s := s
let tFn := t.getAppFn
let sFn := s.getAppFn
let info ← getConstInfo tFn.constName!
/- We only use the heuristic when `f` is a regular definition or an auxiliary `match` application.
That is, it is not marked an abbreviation (e.g., a user-facing projection) or as opaque (e.g., proof).
We check whether terms contain metavariables to make sure we can solve constraints such
as `S.proj ?x =?= S.proj t` without performing delta-reduction.
That is, we are assuming the heuristic implemented by this method is seldom effective
when `t` and `s` do not have metavariables, are not structurally equal, and `f` is an abbreviation.
On the other hand, by unfolding `f`, we often produce smaller terms.
Recall that auxiliary `match` definitions are marked as abbreviations, but we must use the heuristic on
them since they will not be unfolded when smartUnfolding is turned on. The abbreviation annotation in this
case is used to help the kernel type checker. -/
unless info.hints.isRegular || isMatcherCore (← getEnv) tFn.constName! do
unless t.hasExprMVar || s.hasExprMVar do
return false
withTraceNode `Meta.isDefEq.delta (return m!"{exceptBoolEmoji ·} {t} =?= {s}") do
/-
We process arguments before universe levels to reduce a source of brittleness in the TC procedure.
In the TC procedure, we can solve problems containing metavariables.
If the TC procedure tries to assign one of these metavariables, it interrupts the search
using a "stuck" exception. The elaborator catches it, and "interprets" it as "we should try again later".
Now suppose we have a TC problem, and there are two "local" candidate instances we can try: "bad" and "good".
The "bad" candidate is stuck because of a universe metavariable in the TC problem.
If we try "bad" first, the TC procedure is interrupted. Moreover, if we have ignored the exception,
"bad" would fail anyway trying to assign two different free variables `α =?= β`.
Example: `Preorder.{?u} α =?= Preorder.{?v} β`, where `?u` and `?v` are universe metavariables that were
not created by the TC procedure.
The key issue here is that we have an `isDefEq t s` invocation that is interrupted by the "stuck" exception,
but it would have failed anyway if we had continued processing it.
By solving the arguments first, we make the example above fail without throwing the "stuck" exception.
TODO: instead of throwing an exception as soon as we get stuck, we should just set a flag.
Then the entry-point for `isDefEq` checks the flag before returning `true`.
-/
checkpointDefEq do
isDefEqArgs tFn t.getAppArgs s.getAppArgs <&&>
isListLevelDefEqAux tFn.constLevels! sFn.constLevels!
/-- Auxiliary method for isDefEqDelta -/
private abbrev unfold (e : Expr) (failK : MetaM α) (successK : Expr → MetaM α) : MetaM α := do
match (← unfoldDefinition? e) with
| some e => successK e
| none => failK
/-- Auxiliary method for isDefEqDelta -/
private def unfoldBothDefEq (fn : Name) (t s : Expr) : MetaM LBool := do
match t, s with
| Expr.const _ ls₁, Expr.const _ ls₂ => isListLevelDefEq ls₁ ls₂
| Expr.app _ _, Expr.app _ _ =>
if (← tryHeuristic t s) then
pure LBool.true
else
unfold t
(unfold s (pure LBool.undef) (fun s => isDefEqRight fn t s))
(fun t => unfold s (isDefEqLeft fn t s) (fun s => isDefEqLeftRight fn t s))
| _, _ => pure LBool.false
private def sameHeadSymbol (t s : Expr) : Bool :=
match t.getAppFn, s.getAppFn with
| Expr.const c₁ _, Expr.const c₂ _ => c₁ == c₂
| _, _ => false
/--
- If headSymbol (unfold t) == headSymbol s, then unfold t
- If headSymbol (unfold s) == headSymbol t, then unfold s
- Otherwise unfold t and s if possible.
Auxiliary method for isDefEqDelta -/
private def unfoldComparingHeadsDefEq (tInfo sInfo : ConstantInfo) (t s : Expr) : MetaM LBool :=
unfold t
(unfold s
(pure LBool.undef) -- `t` and `s` failed to be unfolded
(fun s => isDefEqRight sInfo.name t s))
(fun tNew =>
if sameHeadSymbol tNew s then
isDefEqLeft tInfo.name tNew s
else
unfold s
(isDefEqLeft tInfo.name tNew s)
(fun sNew =>
if sameHeadSymbol t sNew then
isDefEqRight sInfo.name t sNew
else
isDefEqLeftRight tInfo.name tNew sNew))
/-- If `t` and `s` do not contain metavariables, then use
kernel definitional equality heuristics.
Otherwise, use `unfoldComparingHeadsDefEq`.
Auxiliary method for isDefEqDelta -/
private def unfoldDefEq (tInfo sInfo : ConstantInfo) (t s : Expr) : MetaM LBool :=
if !t.hasExprMVar && !s.hasExprMVar then
/- If `t` and `s` do not contain metavariables,
we simulate strategy used in the kernel. -/
if tInfo.hints.lt sInfo.hints then
unfold t (unfoldComparingHeadsDefEq tInfo sInfo t s) fun t => isDefEqLeft tInfo.name t s
else if sInfo.hints.lt tInfo.hints then
unfold s (unfoldComparingHeadsDefEq tInfo sInfo t s) fun s => isDefEqRight sInfo.name t s
else
unfoldComparingHeadsDefEq tInfo sInfo t s
else
unfoldComparingHeadsDefEq tInfo sInfo t s
/--
When `TransparencyMode` is set to `default` or `all`.
If `t` is reducible and `s` is not ==> `isDefEqLeft (unfold t) s`
If `s` is reducible and `t` is not ==> `isDefEqRight t (unfold s)`
Otherwise, use `unfoldDefEq`
Auxiliary method for isDefEqDelta -/
private def unfoldReducibeDefEq (tInfo sInfo : ConstantInfo) (t s : Expr) : MetaM LBool := do
if (← shouldReduceReducibleOnly) then
unfoldDefEq tInfo sInfo t s
else
let tReducible ← isReducible tInfo.name
let sReducible ← isReducible sInfo.name
if tReducible && !sReducible then
unfold t (unfoldDefEq tInfo sInfo t s) fun t => isDefEqLeft tInfo.name t s
else if !tReducible && sReducible then
unfold s (unfoldDefEq tInfo sInfo t s) fun s => isDefEqRight sInfo.name t s
else
unfoldDefEq tInfo sInfo t s
/--
This is an auxiliary method for isDefEqDelta.
If `t` is a (non-class) projection function application and `s` is not ==> `isDefEqRight t (unfold s)`
If `s` is a (non-class) projection function application and `t` is not ==> `isDefEqRight (unfold t) s`
Otherwise, use `unfoldReducibeDefEq`
One motivation for the heuristic above is unification problems such as
```
id (?m.1) =?= (a, b).1
```
We want to reduce the lhs instead of the rhs, and eventually assign `?m := (a, b)`.
Another motivation for the heuristic above is unification problems such as
```
List.length (a :: as) =?= HAdd.hAdd (List.length as) 1
```
However, for class projections, we also unpack them and check whether the result function is the one
on the other side. This is relevant for unification problems such as
```
Foo.pow x 256 =?= Pow.pow x 256
```
where the the `Pow` instance is wrapping `Foo.pow`
See issue #1419 for the complete example.
-/
private partial def unfoldNonProjFnDefEq (tInfo sInfo : ConstantInfo) (t s : Expr) : MetaM LBool := do
let tProjInfo? ← getProjectionFnInfo? tInfo.name
let sProjInfo? ← getProjectionFnInfo? sInfo.name
if let some tNew ← packedInstanceOf? tProjInfo? t sInfo.name then
isDefEqLeft tInfo.name tNew s
else if let some sNew ← packedInstanceOf? sProjInfo? s tInfo.name then
isDefEqRight sInfo.name t sNew
else match tProjInfo?, sProjInfo? with
| some _, none => unfold s (unfoldDefEq tInfo sInfo t s) fun s => isDefEqRight sInfo.name t s
| none, some _ => unfold t (unfoldDefEq tInfo sInfo t s) fun t => isDefEqLeft tInfo.name t s
| _, _ => unfoldReducibeDefEq tInfo sInfo t s
where
packedInstanceOf? (projInfo? : Option ProjectionFunctionInfo) (e : Expr) (declName : Name) : MetaM (Option Expr) := do
let some { fromClass := true, .. } := projInfo? | return none -- It is not a class projection
let some e ← unfoldDefinition? e | return none
let e ← whnfCore e
if e.isAppOf declName then return some e
let .const name _ := e.getAppFn | return none
-- Keep going if new `e` is also a class projection
packedInstanceOf? (← getProjectionFnInfo? name) e declName
/--
isDefEq by lazy delta reduction.
This method implements many different heuristics:
1- If only `t` can be unfolded => then unfold `t` and continue
2- If only `s` can be unfolded => then unfold `s` and continue
3- If `t` and `s` can be unfolded and they have the same head symbol, then
a) First try to solve unification by unifying arguments.
b) If it fails, unfold both and continue.
Implemented by `unfoldBothDefEq`
4- If `t` is a projection function application and `s` is not => then unfold `s` and continue.
5- If `s` is a projection function application and `t` is not => then unfold `t` and continue.
Remark: 4&5 are implemented by `unfoldNonProjFnDefEq`
6- If `t` is reducible and `s` is not => then unfold `t` and continue.
7- If `s` is reducible and `t` is not => then unfold `s` and continue
Remark: 6&7 are implemented by `unfoldReducibeDefEq`
8- If `t` and `s` do not contain metavariables, then use heuristic used in the Kernel.
Implemented by `unfoldDefEq`
9- If `headSymbol (unfold t) == headSymbol s`, then unfold t and continue.
10- If `headSymbol (unfold s) == headSymbol t`, then unfold s
11- Otherwise, unfold `t` and `s` and continue.
Remark: 9&10&11 are implemented by `unfoldComparingHeadsDefEq` -/
private def isDefEqDelta (t s : Expr) : MetaM LBool := do
let tInfo? ← isDeltaCandidate? t
let sInfo? ← isDeltaCandidate? s
match tInfo?, sInfo? with
| none, none => pure LBool.undef
| some tInfo, none => unfold t (pure LBool.undef) fun t => isDefEqLeft tInfo.name t s
| none, some sInfo => unfold s (pure LBool.undef) fun s => isDefEqRight sInfo.name t s
| some tInfo, some sInfo =>
if tInfo.name == sInfo.name then
unfoldBothDefEq tInfo.name t s
else
unfoldNonProjFnDefEq tInfo sInfo t s
private def isAssigned : Expr → MetaM Bool
| Expr.mvar mvarId => mvarId.isAssigned
| _ => pure false
private def expandDelayedAssigned? (t : Expr) : MetaM (Option Expr) := do
let tFn := t.getAppFn
if !tFn.isMVar then return none
let some { fvars, mvarIdPending } ← getDelayedMVarAssignment? tFn.mvarId! | return none
let tNew ← instantiateMVars t
if tNew != t then return some tNew
/-
If `assignSyntheticOpaque` is true, we must follow the delayed assignment.
Recall a delayed assignment `mvarId [xs] := mvarIdPending` is morally an assingment
`mvarId := fun xs => mvarIdPending` where `xs` are free variables in the scope of `mvarIdPending`,
but not in the scope of `mvarId`. We can only perform the abstraction when `mvarIdPending` has been fully synthesized.
That is, `instantiateMVars (mkMVar mvarIdPending)` does not contain any expression metavariables.
Here we just consume `fvar.size` arguments. That is, if `t` is of the form `mvarId as bs` where `as.size == fvars.size`,
we return `mvarIdPending bs`.
TODO: improve this transformation. Here is a possible improvement.
Assume `t` is of the form `?m as` where `as` represent the arguments, and we are trying to solve
`?m as =?= s[as]` where `s[as]` represents a term containing occurrences of `as`.
We could try to compute the solution as usual `?m := fun ys => s[as/ys]`
We also have the delayed assignment `?m [xs] := ?n`, where `xs` are variables in the scope of `?n`,
and this delayed assignment is morally `?m := fun xs => ?n`.
Thus, we can reduce `?m as =?= s[as]` to `?n =?= s[as/xs]`, and solve it using `?n`'s local context.
This is more precise than simplying droping the arguments `as`.
-/
unless (← getConfig).assignSyntheticOpaque do return none
let tArgs := t.getAppArgs
if tArgs.size < fvars.size then return none
return some (mkAppRange (mkMVar mvarIdPending) fvars.size tArgs.size tArgs)
private def isAssignable : Expr → MetaM Bool
| Expr.mvar mvarId => do let b ← mvarId.isReadOnlyOrSyntheticOpaque; pure (!b)
| _ => pure false
private def etaEq (t s : Expr) : Bool :=
match t.etaExpanded? with
| some t => t == s
| none => false
/--
Helper method for implementing `isDefEqProofIrrel`. Execute `k` with a transparency setting
that is at least as strong as `.default`. This is important for modules that use the `.reducible`
setting (e.g., `simp`, `rw`, etc). We added this feature to address issue #1302.
```lean
@[simp] theorem get_cons_zero {as : List α} : (a :: as).get ⟨0, Nat.zero_lt_succ _⟩ = a := rfl
example (a b c : α) : [a, b, c].get ⟨0, by simp⟩ = a := by simp
```
In the example above `simp` fails to use `get_cons_zero` because it fails to establish that
the proof objects are definitionally equal using proof irrelevance. In this example,
the propositions are
```lean
0 < Nat.succ (List.length [b, c]) =?= 0 < Nat.succ (Nat.succ (Nat.succ 0))
```
So, unless we can unfold `List.length`, it fails.
Remark: if this becomes a performance bottleneck, we should add a flag to control when it is used.
Then, we can enable the flag only when applying `simp` and `rw` theorems.
-/
private def withProofIrrelTransparency (k : MetaM α) : MetaM α :=
withAtLeastTransparency .default k
private def isDefEqProofIrrel (t s : Expr) : MetaM LBool := do
if (← getConfig).proofIrrelevance then
match (← isProofQuick t) with
| LBool.false =>
pure LBool.undef
| LBool.true =>
let tType ← inferType t
let sType ← inferType s
toLBoolM <| withProofIrrelTransparency <| Meta.isExprDefEqAux tType sType
| LBool.undef =>
let tType ← inferType t
if (← isProp tType) then
let sType ← inferType s
toLBoolM <| withProofIrrelTransparency <| Meta.isExprDefEqAux tType sType
else
pure LBool.undef
else
pure LBool.undef
/-- Try to solve constraint of the form `?m args₁ =?= ?m args₂`.
- First try to unify `args₁` and `args₂`, and return true if successful
- Otherwise, try to assign `?m` to a constant function of the form `fun x_1 ... x_n => ?n`
where `?n` is a fresh metavariable. See `assignConst`. -/
private def isDefEqMVarSelf (mvar : Expr) (args₁ args₂ : Array Expr) : MetaM Bool := do
if args₁.size != args₂.size then
pure false
else if (← isDefEqArgs mvar args₁ args₂) then
pure true
else if !(← isAssignable mvar) then
pure false
else
let cfg ← getConfig
let mvarId := mvar.mvarId!
let mvarDecl ← mvarId.getDecl
if mvarDecl.numScopeArgs == args₁.size || cfg.constApprox then
let type ← inferType (mkAppN mvar args₁)
let auxMVar ← mkAuxMVar mvarDecl.lctx mvarDecl.localInstances type
assignConst mvar args₁.size auxMVar
else
pure false
/-- Remove unnecessary let-decls -/
private def consumeLet : Expr → Expr
| e@(Expr.letE _ _ _ b _) => if b.hasLooseBVars then e else consumeLet b
| e => e
mutual
private partial def isDefEqQuick (t s : Expr) : MetaM LBool :=
let t := consumeLet t
let s := consumeLet s
match t, s with
| .lit l₁, .lit l₂ => return (l₁ == l₂).toLBool
| .sort u, .sort v => toLBoolM <| isLevelDefEqAux u v
| .lam .., .lam .. => if t == s then pure LBool.true else toLBoolM <| isDefEqBinding t s
| .forallE .., .forallE .. => if t == s then pure LBool.true else toLBoolM <| isDefEqBinding t s
-- | Expr.mdata _ t _, s => isDefEqQuick t s
-- | t, Expr.mdata _ s _ => isDefEqQuick t s
| .fvar fvarId₁, .fvar fvarId₂ => do
if (← fvarId₁.isLetVar <||> fvarId₂.isLetVar) then
return LBool.undef
else if fvarId₁ == fvarId₂ then
return LBool.true
else
isDefEqProofIrrel t s
| t, s =>
isDefEqQuickOther t s
private partial def isDefEqQuickOther (t s : Expr) : MetaM LBool := do
/-
We used to eagerly consume all metadata (see commented lines at `isDefEqQuick`),
but it was unnecessarily removing helpful annotations
for the pretty-printer. For example, consider the following example.
```
constant p : Nat → Prop
constant q : Nat → Prop
theorem p_of_q : q x → p x := sorry
theorem pletfun : p (let_fun x := 0; x + 1) := by
-- ⊢ p (let_fun x := 0; x + 1)
apply p_of_q -- If we eagerly consume all metadata, the let_fun annotation is lost during `isDefEq`
-- ⊢ q ((fun x => x + 1) 0)
sorry
```
However, pattern annotations (`inaccessible?` and `patternWithRef?`) must be consumed.
The frontend relies on the fact that is must not be propagated by `isDefEq`.
Thus, we consume it here. This is a bit hackish since it is very adhoc.
We might other annotations in the future that we should not preserve.
Perhaps, we should mark the annotation we do want to preserve ones
(e.g., hints for the pretty printer), and consume all other
-/
if let some t := patternAnnotation? t then
isDefEqQuick t s
else if let some s := patternAnnotation? s then
isDefEqQuick t s
else if t == s then
return LBool.true
else if etaEq t s || etaEq s t then
return LBool.true -- t =?= (fun xs => t xs)
else
let tFn := t.getAppFn
let sFn := s.getAppFn
if !tFn.isMVar && !sFn.isMVar then
return LBool.undef
else if (← isAssigned tFn) then
let t ← instantiateMVars t
isDefEqQuick t s
else if (← isAssigned sFn) then
let s ← instantiateMVars s
isDefEqQuick t s
else if let some t ← expandDelayedAssigned? t then
isDefEqQuick t s
else if let some s ← expandDelayedAssigned? s then
isDefEqQuick t s
/- Remark: we do not eagerly synthesize synthetic metavariables when the constraint is not stuck.
Reason: we may fail to solve a constraint of the form `?x =?= A` when the synthesized instance
is not definitionally equal to `A`. We left the code here as a remainder of this issue. -/
-- else if (← isSynthetic tFn <&&> trySynthPending tFn) then
-- let t ← instantiateMVars t
-- isDefEqQuick t s
-- else if (← isSynthetic sFn <&&> trySynthPending sFn) then
-- let s ← instantiateMVars s
-- isDefEqQuick t s
else if tFn.isMVar && sFn.isMVar && tFn == sFn then
Bool.toLBool <$> isDefEqMVarSelf tFn t.getAppArgs s.getAppArgs
else
let tAssign? ← isAssignable tFn
let sAssign? ← isAssignable sFn
let assignableMsg (b : Bool) := if b then "[assignable]" else "[nonassignable]"
trace[Meta.isDefEq] "{t} {assignableMsg tAssign?} =?= {s} {assignableMsg sAssign?}"
if tAssign? && !sAssign? then
toLBoolM <| processAssignment' t s
else if !tAssign? && sAssign? then
toLBoolM <| processAssignment' s t
else if !tAssign? && !sAssign? then
/- Trying to unify `?m ... =?= ?n ...` where both `?m` and `?n` cannot be assigned.
This can happen when both of them are `syntheticOpaque` (e.g., metavars associated with tactics), or a metavariables
from previous levels.
If their types are propositions and are defeq, we can solve the constraint by proof irrelevance.
This test is important for fixing a performance problem exposed by test `isDefEqPerfIssue.lean`.
Without the proof irrelevance check, this example timeouts. Recall that:
1- The elaborator has a pending list of things to do: Tactics, TC, etc.
2- The elaborator only tries tactics after it tried to solve pending TC problems, delayed elaboratio, etc.
The motivation: avoid unassigned metavariables in goals.
3- Each pending tactic goal is represented as a metavariable. It is marked as `synthethicOpaque` to make it clear
that it should not be assigned by unification.
4- When we abstract a term containing metavariables, we often create new metavariables.
Example: when abstracting `x` at `f ?m`, we obtain `fun x => f (?m' x)`. If `x` is in the scope of `?m`.
If `?m` is `syntheticOpaque`, so is `?m'`, and we also have the delayed assignment `?m' x := ?m`
5- When checking a metavariable assignment, `?m := v` we check whether the type of `?m` is defeq to type of `v`
with default reducibility setting.
Now consider the following fragment
```
let a' := g 100 a ⟨i, h⟩ ⟨i - Nat.zero.succ, by exact Nat.lt_of_le_of_lt (Nat.pred_le i) h⟩
have : a'.size - i >= 0 := sorry
f (i+1) a'
```
The elaborator tries to synthesize the instance `OfNat Nat 1` before we generate the tactic proof for `by exact ...` (remark 2).
The solution `instOfNatNat 1` is synthesized. Let `m? a i h a' this` be the "hole" associated with the pending instance.
Then, `isDefEq` tries to assign `m? a i h a' this := instOfNatNat 1` which is reduced to
`m? := mkLambdaFVars #[a, i, h, a', this] (instOfNatNat 1)`. Note that, this is an abstraction step (remark 4), and the type
contains the `syntheticOpaque` metavariable for the pending tactic proof (remark 3). Thus, a new `syntheticOpaque`
opaque is created (remark 4). Then, `isDefEq` must check whether the type of `?m` is defeq to
`mkLambdaFVars #[a, i, h, a', this] (instOfNatNat 1)` (remark 5). The two types are almost identical, but they
contain different `syntheticOpaque` in the subterm corresponding to the `by exact ...` tactic proof. Without the following
proof irrelevance test, the check will fail, and `isDefEq` timeouts unfolding `g` and its dependencies.
Note that this test does not prevent a similar performance problem in a usecase where the tactic is used to synthesize a
term that is not a proof. TODO: add better support for checking the delayed assignments. This is not high priority because
tactics are usually only used for synthesizing proofs.
-/
match (← isDefEqProofIrrel t s) with
| LBool.true => return LBool.true
| LBool.false => return LBool.false
| _ =>
if tFn.isMVar || sFn.isMVar then
let ctx ← read
if ctx.config.isDefEqStuckEx then do
trace[Meta.isDefEq.stuck] "{t} =?= {s}"
Meta.throwIsDefEqStuck
else
return LBool.false
else
return LBool.undef
else
isDefEqQuickMVarMVar t s
/-- Both `t` and `s` are terms of the form `?m ...` -/
private partial def isDefEqQuickMVarMVar (t s : Expr) : MetaM LBool := do
if s.isMVar && !t.isMVar then
/- Solve `?m t =?= ?n` by trying first `?n := ?m t`.
Reason: this assignment is precise. -/
if (← checkpointDefEq (processAssignment s t)) then
return LBool.true
else
toLBoolM <| processAssignment t s
else
if (← checkpointDefEq (processAssignment t s)) then
return LBool.true
else
toLBoolM <| processAssignment s t
end
@[inline] def whenUndefDo (x : MetaM LBool) (k : MetaM Bool) : MetaM Bool := do
let status ← x
match status with
| LBool.true => pure true
| LBool.false => pure false
| LBool.undef => k
@[specialize] private def unstuckMVar (e : Expr) (successK : Expr → MetaM Bool) (failK : MetaM Bool): MetaM Bool := do
match (← getStuckMVar? e) with
| some mvarId =>
trace[Meta.isDefEq.stuckMVar] "found stuck MVar {mkMVar mvarId} : {← inferType (mkMVar mvarId)}"
if (← Meta.synthPending mvarId) then
let e ← instantiateMVars e
successK e
else
failK
| none => failK
private def isDefEqOnFailure (t s : Expr) : MetaM Bool := do
trace[Meta.isDefEq.onFailure] "{t} =?= {s}"
unstuckMVar t (fun t => Meta.isExprDefEqAux t s) <|
unstuckMVar s (fun s => Meta.isExprDefEqAux t s) <|
tryUnificationHints t s <||> tryUnificationHints s t
private def isDefEqProj : Expr → Expr → MetaM Bool
| Expr.proj _ i t, Expr.proj _ j s => pure (i == j) <&&> Meta.isExprDefEqAux t s
| Expr.proj structName 0 s, v => isDefEqSingleton structName s v
| v, Expr.proj structName 0 s => isDefEqSingleton structName s v
| _, _ => pure false
where
/-- If `structName` is a structure with a single field and `(?m ...).1 =?= v`, then solve contraint as `?m ... =?= ⟨v⟩` -/
isDefEqSingleton (structName : Name) (s : Expr) (v : Expr) : MetaM Bool := do
let ctorVal := getStructureCtor (← getEnv) structName
if ctorVal.numFields != 1 then
return false -- It is not a structure with a single field.
let sType ← whnf (← inferType s)
let sTypeFn := sType.getAppFn
if !sTypeFn.isConstOf structName then
return false
let s ← whnf s
let sFn := s.getAppFn
if !sFn.isMVar then
return false
if (← isAssignable sFn) then
let ctorApp := mkApp (mkAppN (mkConst ctorVal.name sTypeFn.constLevels!) sType.getAppArgs) v
processAssignment' s ctorApp
else
return false
/--
Given applications `t` and `s` that are in WHNF (modulo the current transparency setting),
check whether they are definitionally equal or not.
-/
private def isDefEqApp (t s : Expr) : MetaM Bool := do
let tFn := t.getAppFn
let sFn := s.getAppFn
if tFn.isConst && sFn.isConst && tFn.constName! == sFn.constName! then
/- See comment at `tryHeuristic` explaining why we processe arguments before universe levels. -/
if (← checkpointDefEq (isDefEqArgs tFn t.getAppArgs s.getAppArgs <&&> isListLevelDefEqAux tFn.constLevels! sFn.constLevels!)) then
return true
else
isDefEqOnFailure t s
else if (← checkpointDefEq (Meta.isExprDefEqAux tFn s.getAppFn <&&> isDefEqArgs tFn t.getAppArgs s.getAppArgs)) then
return true
else
isDefEqOnFailure t s
/-- Return `true` if the types of the given expressions is an inductive datatype with an inductive datatype with a single constructor with no fields. -/
private def isDefEqUnitLike (t : Expr) (s : Expr) : MetaM Bool := do
let tType ← whnf (← inferType t)
matchConstStruct tType.getAppFn (fun _ => return false) fun _ _ ctorVal => do
if ctorVal.numFields != 0 then
return false
else if (← useEtaStruct ctorVal.induct) then
Meta.isExprDefEqAux tType (← inferType s)
else
return false
/--
The `whnf` procedure has support for unfolding class projections when the
transparency mode is set to `.instances`. This method ensures the behavior
of `whnf` and `isDefEq` is consistent in this transparency mode.
-/
private def isDefEqProjInst (t : Expr) (s : Expr) : MetaM LBool := do
if (← getTransparency) != .instances then return .undef
let t? ← unfoldProjInstWhenIntances? t
let s? ← unfoldProjInstWhenIntances? s
if t?.isSome || s?.isSome then
toLBoolM <| Meta.isExprDefEqAux (t?.getD t) (s?.getD s)
else
return .undef
private def isExprDefEqExpensive (t : Expr) (s : Expr) : MetaM Bool := do
if (← (isDefEqEta t s <||> isDefEqEta s t)) then return true
-- TODO: investigate whether this is the place for putting this check
if (← (isDefEqEtaStruct t s <||> isDefEqEtaStruct s t)) then return true
if (← isDefEqProj t s) then return true
let t' ← whnfCore t
let s' ← whnfCore s
if t != t' || s != s' then
Meta.isExprDefEqAux t' s'
else
whenUndefDo (isDefEqNative t s) do
whenUndefDo (isDefEqNat t s) do
whenUndefDo (isDefEqOffset t s) do
whenUndefDo (isDefEqDelta t s) do
if t.isConst && s.isConst then
if t.constName! == s.constName! then isListLevelDefEqAux t.constLevels! s.constLevels! else return false
else if (← pure t.isApp <&&> pure s.isApp <&&> isDefEqApp t s) then
return true
else
whenUndefDo (isDefEqProjInst t s) do
whenUndefDo (isDefEqStringLit t s) do
if (← isDefEqUnitLike t s) then return true else
isDefEqOnFailure t s
private def mkCacheKey (t : Expr) (s : Expr) : Expr × Expr :=
if Expr.quickLt t s then (t, s) else (s, t)
private def getCachedResult (key : Expr × Expr) : MetaM LBool := do
match (← get).cache.defEq.find? key with
| some val => return val.toLBool
| none => return .undef
private def cacheResult (key : Expr × Expr) (result : Bool) : MetaM Unit := do
modifyDefEqCache fun c => c.insert key result
@[export lean_is_expr_def_eq]
partial def isExprDefEqAuxImpl (t : Expr) (s : Expr) : MetaM Bool := withIncRecDepth do
withTraceNode `Meta.isDefEq (return m!"{exceptBoolEmoji ·} {t} =?= {s}") do
checkMaxHeartbeats "isDefEq"
whenUndefDo (isDefEqQuick t s) do
whenUndefDo (isDefEqProofIrrel t s) do
-- We perform `whnfCore` again with `deltaAtProj := true` at `isExprDefEqExpensive` after `isDefEqProj`
let t' ← whnfCore t (deltaAtProj := false)
let s' ← whnfCore s (deltaAtProj := false)
if t != t' || s != s' then
isExprDefEqAuxImpl t' s'
else
/-
TODO: check whether the following `instantiateMVar`s are expensive or not in practice.
Lean 3 does not use them, and may miss caching opportunities since it is not safe to cache when `t` and `s` may contain mvars.
The unit test `tryHeuristicPerfIssue2.lean` cannot be solved without these two `instantiateMVar`s.
If it becomes a problem, we may use store a flag in the context indicating whether we have already used `instantiateMVar` in
outer invocations or not. It is not perfect (we may assign mvars in nested calls), but it should work well enough in practice,
and prevent repeated traversals in nested calls.
-/
let t ← instantiateMVars t
let s ← instantiateMVars s
let numPostponed ← getNumPostponed
let k := mkCacheKey t s
match (← getCachedResult k) with
| .true =>
trace[Meta.isDefEq.cache] "cache hit 'true' for {t} =?= {s}"
return true
| .false =>
trace[Meta.isDefEq.cache] "cache hit 'false' for {t} =?= {s}"
return false
| .undef =>
let result ← isExprDefEqExpensive t s
if numPostponed == (← getNumPostponed) then
trace[Meta.isDefEq.cache] "cache {result} for {t} =?= {s}"
cacheResult k result
return result
builtin_initialize
registerTraceClass `Meta.isDefEq
registerTraceClass `Meta.isDefEq.foApprox
registerTraceClass `Meta.isDefEq.constApprox
registerTraceClass `Meta.isDefEq.delta (inherited := true)
registerTraceClass `Meta.isDefEq.assign
registerTraceClass `Meta.isDefEq.assign.checkTypes (inherited := true)
registerTraceClass `Meta.isDefEq.eta.struct
end Lean.Meta
|
4fba9a64e692ce566ef44f10c5dcac9fa2029666 | b392eb79fb36952401156496daa60628ccb07438 | /Lib4/PostPort.lean | 3008c53149241791f2a60ed27eda7d2db63f9a68 | [
"Apache-2.0"
] | permissive | AurelienSaue/mathportsource | d9eabe74e3ab7774baa6a10a6dc8d4855ff92266 | 1a164e4fff7204c522c1f4ecc5024fd909be3b0b | refs/heads/master | 1,685,214,377,305 | 1,623,621,223,000 | 1,623,621,223,000 | 364,191,042 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 207 | lean | /-
Copyright (c) 2020 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Daniel Selsam
-/
import PostPort.Coe
import PostPort.Pow
|
ea3a675e9f3662edb823785af6fdfadd4a70d4ab | 77c5b91fae1b966ddd1db969ba37b6f0e4901e88 | /src/number_theory/bernoulli_polynomials.lean | 4138f46586aeffda955636e38a29d4c0a53a9def | [
"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 | 7,118 | lean | /-
Copyright (c) 2021 Ashvni Narayanan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ashvni Narayanan
-/
import data.nat.choose.cast
import number_theory.bernoulli
/-!
# Bernoulli polynomials
The Bernoulli polynomials (defined here : https://en.wikipedia.org/wiki/Bernoulli_polynomials)
are an important tool obtained from Bernoulli numbers.
## Mathematical overview
The $n$-th Bernoulli polynomial is defined as
$$ B_n(X) = ∑_{k = 0}^n {n \choose k} (-1)^k * B_k * X^{n - k} $$
where $B_k$ is the $k$-th Bernoulli number. The Bernoulli polynomials are generating functions,
$$ t * e^{tX} / (e^t - 1) = ∑_{n = 0}^{\infty} B_n(X) * \frac{t^n}{n!} $$
## Implementation detail
Bernoulli polynomials are defined using `bernoulli`, the Bernoulli numbers.
## Main theorems
- `sum_bernoulli_poly`: The sum of the $k^\mathrm{th}$ Bernoulli polynomial with binomial
coefficients up to n is `(n + 1) * X^n`.
- `exp_bernoulli_poly`: The Bernoulli polynomials act as generating functions for the exponential.
## TODO
- `bernoulli_poly_eval_one_neg` : $$ B_n(1 - x) = (-1)^n*B_n(x) $$
- ``bernoulli_poly_eval_one` : Follows as a consequence of `bernoulli_poly_eval_one_neg`.
-/
noncomputable theory
open_locale big_operators
open_locale nat
open nat finset
/-- The Bernoulli polynomials are defined in terms of the negative Bernoulli numbers. -/
def bernoulli_poly (n : ℕ) : polynomial ℚ :=
∑ i in range (n + 1), polynomial.monomial (n - i) ((bernoulli i) * (choose n i))
lemma bernoulli_poly_def (n : ℕ) : bernoulli_poly n =
∑ i in range (n + 1), polynomial.monomial i ((bernoulli (n - i)) * (choose n i)) :=
begin
rw [←sum_range_reflect, add_succ_sub_one, add_zero, bernoulli_poly],
apply sum_congr rfl,
rintros x hx,
rw mem_range_succ_iff at hx, rw [choose_symm hx, nat.sub_sub_self hx],
end
namespace bernoulli_poly
/-
### examples
-/
section examples
@[simp] lemma bernoulli_poly_zero : bernoulli_poly 0 = 1 :=
by simp [bernoulli_poly]
@[simp] lemma bernoulli_poly_eval_zero (n : ℕ) : (bernoulli_poly n).eval 0 = bernoulli n :=
begin
rw [bernoulli_poly, polynomial.eval_finset_sum, sum_range_succ],
have : ∑ (x : ℕ) in range n, bernoulli x * (n.choose x) * 0 ^ (n - x) = 0,
{ apply sum_eq_zero (λ x hx, _),
have h : 0 < n - x := nat.sub_pos_of_lt (mem_range.1 hx),
simp [h] },
simp [this],
end
@[simp] lemma bernoulli_poly_eval_one (n : ℕ) : (bernoulli_poly n).eval 1 = bernoulli' n :=
begin
simp only [bernoulli_poly, polynomial.eval_finset_sum],
simp only [←succ_eq_add_one, sum_range_succ, mul_one, cast_one, choose_self,
(bernoulli _).mul_comm, sum_bernoulli, one_pow, mul_one, polynomial.eval_C,
polynomial.eval_monomial],
by_cases h : n = 1,
{ norm_num [h], },
{ simp [h],
exact bernoulli_eq_bernoulli'_of_ne_one h, }
end
end examples
@[simp] theorem sum_bernoulli_poly (n : ℕ) :
∑ k in range (n + 1), ((n + 1).choose k : ℚ) • bernoulli_poly k =
polynomial.monomial n (n + 1 : ℚ) :=
begin
simp_rw [bernoulli_poly_def, finset.smul_sum, finset.range_eq_Ico, ←finset.sum_Ico_Ico_comm,
finset.sum_Ico_eq_sum_range],
simp only [cast_succ, nat.add_sub_cancel_left, nat.sub_zero, zero_add, linear_map.map_add],
simp_rw [polynomial.smul_monomial, mul_comm (bernoulli _) _, smul_eq_mul, ←mul_assoc],
conv_lhs { apply_congr, skip, conv
{ apply_congr, skip,
rw [← nat.cast_mul, choose_mul ((nat.le_sub_left_iff_add_le $ mem_range_le H).1
$ mem_range_le H_1) (le.intro rfl), nat.cast_mul, add_comm x x_1, nat.add_sub_cancel,
mul_assoc, mul_comm, ←smul_eq_mul, ←polynomial.smul_monomial] },
rw [←sum_smul], },
rw [sum_range_succ_comm],
simp only [add_right_eq_self, cast_succ, mul_one, cast_one, cast_add, nat.add_sub_cancel_left,
choose_succ_self_right, one_smul, bernoulli_zero, sum_singleton, zero_add,
linear_map.map_add, range_one],
apply sum_eq_zero (λ x hx, _),
have f : ∀ x ∈ range n, ¬ n + 1 - x = 1,
{ rintros x H, rw [mem_range] at H,
rw [eq_comm],
exact ne_of_lt (nat.lt_of_lt_of_le one_lt_two (nat.le_sub_left_of_add_le (succ_le_succ H))) },
rw [sum_bernoulli],
have g : (ite (n + 1 - x = 1) (1 : ℚ) 0) = 0,
{ simp only [ite_eq_right_iff, one_ne_zero],
intro h₁,
exact (f x hx) h₁, },
rw [g, zero_smul],
end
open power_series
open polynomial (aeval)
variables {A : Type*} [comm_ring A] [algebra ℚ A]
-- TODO: define exponential generating functions, and use them here
-- This name should probably be updated afterwards
/-- The theorem that `∑ Bₙ(t)X^n/n!)(e^X-1)=Xe^{tX}` -/
theorem exp_bernoulli_poly' (t : A) :
mk (λ n, aeval t ((1 / n! : ℚ) • bernoulli_poly n)) * (exp A - 1) = X * rescale t (exp A) :=
begin
-- check equality of power series by checking coefficients of X^n
ext n,
-- n = 0 case solved by `simp`
cases n, { simp },
-- n ≥ 1, the coefficients is a sum to n+2, so use `sum_range_succ` to write as
-- last term plus sum to n+1
rw [coeff_succ_X_mul, coeff_rescale, coeff_exp, coeff_mul,
nat.sum_antidiagonal_eq_sum_range_succ_mk, sum_range_succ],
-- last term is zero so kill with `add_zero`
simp only [ring_hom.map_sub, nat.sub_self, constant_coeff_one, constant_coeff_exp,
coeff_zero_eq_constant_coeff, mul_zero, sub_self, add_zero],
-- Let's multiply both sides by (n+1)! (OK because it's a unit)
set u : units ℚ := ⟨(n+1)!, (n+1)!⁻¹,
mul_inv_cancel (by exact_mod_cast factorial_ne_zero (n+1)),
inv_mul_cancel (by exact_mod_cast factorial_ne_zero (n+1))⟩ with hu,
rw ←units.mul_right_inj (units.map (algebra_map ℚ A).to_monoid_hom u),
-- now tidy up unit mess and generally do trivial rearrangements
-- to make RHS (n+1)*t^n
rw [units.coe_map, mul_left_comm, ring_hom.to_monoid_hom_eq_coe,
ring_hom.coe_monoid_hom, ←ring_hom.map_mul, hu, units.coe_mk],
change _ = t^n * algebra_map ℚ A (((n+1)*n! : ℕ)*(1/n!)),
rw [cast_mul, mul_assoc, mul_one_div_cancel
(show (n! : ℚ) ≠ 0, from cast_ne_zero.2 (factorial_ne_zero n)), mul_one, mul_comm (t^n),
← polynomial.aeval_monomial, cast_add, cast_one],
-- But this is the RHS of `sum_bernoulli_poly`
rw [← sum_bernoulli_poly, finset.mul_sum, alg_hom.map_sum],
-- and now we have to prove a sum is a sum, but all the terms are equal.
apply finset.sum_congr rfl,
-- The rest is just trivialities, hampered by the fact that we're coercing
-- factorials and binomial coefficients between ℕ and ℚ and A.
intros i hi,
-- deal with coefficients of e^X-1
simp only [nat.cast_choose ℚ (mem_range_le hi), coeff_mk,
if_neg (mem_range_sub_ne_zero hi), one_div, alg_hom.map_smul, coeff_one, units.coe_mk,
coeff_exp, sub_zero, linear_map.map_sub, algebra.smul_mul_assoc, algebra.smul_def,
mul_right_comm _ ((aeval t) _), ←mul_assoc, ← ring_hom.map_mul, succ_eq_add_one],
-- finally cancel the Bernoulli polynomial and the algebra_map
congr',
apply congr_arg,
rw [mul_assoc, div_eq_mul_inv, ← mul_inv₀],
end
end bernoulli_poly
|
fe7278edcdbb6bab8b0d8029192a494d1188265f | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/section3.lean | 771a6565ce78f9702f58d9d76753090eb230ccba | [
"Apache-2.0"
] | permissive | leanprover-community/lean | 12b87f69d92e614daea8bcc9d4de9a9ace089d0e | cce7990ea86a78bdb383e38ed7f9b5ba93c60ce0 | refs/heads/master | 1,687,508,156,644 | 1,684,951,104,000 | 1,684,951,104,000 | 169,960,991 | 457 | 107 | Apache-2.0 | 1,686,744,372,000 | 1,549,790,268,000 | C++ | UTF-8 | Lean | false | false | 110 | lean | section
parameter (A : Type)
definition foo := A
definition bar {X : Type} {A : X} : foo :=
sorry
end
|
7db8e6823a082779f057c339a3cf1f9cac063032 | a45212b1526d532e6e83c44ddca6a05795113ddc | /src/number_theory/dioph.lean | 758029d21859cc987d9e2db7b1b42b4cb2f55acf | [
"Apache-2.0"
] | permissive | fpvandoorn/mathlib | b21ab4068db079cbb8590b58fda9cc4bc1f35df4 | b3433a51ea8bc07c4159c1073838fc0ee9b8f227 | refs/heads/master | 1,624,791,089,608 | 1,556,715,231,000 | 1,556,715,231,000 | 165,722,980 | 5 | 0 | Apache-2.0 | 1,552,657,455,000 | 1,547,494,646,000 | Lean | UTF-8 | Lean | false | false | 36,071 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import number_theory.pell data.pfun
universe u
open nat function
namespace int
lemma eq_nat_abs_iff_mul (x n) : nat_abs x = n ↔ (x - n) * (x + n) = 0 :=
begin
refine iff.trans _ mul_eq_zero.symm,
refine iff.trans _ (or_congr sub_eq_zero add_eq_zero_iff_eq_neg).symm,
exact ⟨λe, by rw ← e; apply nat_abs_eq,
λo, by cases o; subst x; simp [nat_abs_of_nat]⟩
end
end int
/-- An alternate definition of `fin n` defined as an inductive type
instead of a subtype of `nat`. This is useful for its induction
principle and different definitional equalities. -/
inductive fin2 : ℕ → Type
| fz {n} : fin2 (succ n)
| fs {n} : fin2 n → fin2 (succ n)
namespace fin2
@[elab_as_eliminator]
protected def cases' {n} {C : fin2 (succ n) → Sort u} (H1 : C fz) (H2 : Π n, C (fs n)) :
Π (i : fin2 (succ n)), C i
| fz := H1
| (fs n) := H2 n
def elim0 {C : fin2 0 → Sort u} : Π (i : fin2 0), C i.
/-- convert a `fin2` into a `nat` -/
def to_nat : Π {n}, fin2 n → ℕ
| ._ (@fz n) := 0
| ._ (@fs n i) := succ (to_nat i)
/-- convert a `nat` into a `fin2` if it is in range -/
def opt_of_nat : Π {n} (k : ℕ), option (fin2 n)
| 0 _ := none
| (succ n) 0 := some fz
| (succ n) (succ k) := fs <$> @opt_of_nat n k
/-- `i + k : fin2 (n + k)` when `i : fin2 n` and `k : ℕ` -/
def add {n} (i : fin2 n) : Π k, fin2 (n + k)
| 0 := i
| (succ k) := fs (add k)
/-- `left k` is the embedding `fin2 n → fin2 (k + n)` -/
def left (k) : Π {n}, fin2 n → fin2 (k + n)
| ._ (@fz n) := fz
| ._ (@fs n i) := fs (left i)
/-- `insert_perm a` is a permutation of `fin2 n` with the following properties:
* `insert_perm a i = i+1` if `i < a`
* `insert_perm a a = 0`
* `insert_perm a i = i` if `i > a` -/
def insert_perm : Π {n}, fin2 n → fin2 n → fin2 n
| ._ (@fz n) (@fz ._) := fz
| ._ (@fz n) (@fs ._ j) := fs j
| ._ (@fs (succ n) i) (@fz ._) := fs fz
| ._ (@fs (succ n) i) (@fs ._ j) := match insert_perm i j with fz := fz | fs k := fs (fs k) end
/-- `remap_left f k : fin2 (m + k) → fin2 (n + k)` applies the function
`f : fin2 m → fin2 n` to inputs less than `m`, and leaves the right part
on the right (that is, `remap_left f k (m + i) = n + i`). -/
def remap_left {m n} (f : fin2 m → fin2 n) : Π k, fin2 (m + k) → fin2 (n + k)
| 0 i := f i
| (succ k) (@fz ._) := fz
| (succ k) (@fs ._ i) := fs (remap_left _ i)
/-- This is a simple type class inference prover for proof obligations
of the form `m < n` where `m n : ℕ`. -/
class is_lt (m n : ℕ) := (h : m < n)
instance is_lt.zero (n) : is_lt 0 (succ n) := ⟨succ_pos _⟩
instance is_lt.succ (m n) [l : is_lt m n] : is_lt (succ m) (succ n) := ⟨succ_lt_succ l.h⟩
/-- Use type class inference to infer the boundedness proof, so that we
can directly convert a `nat` into a `fin2 n`. This supports
notation like `&1 : fin 3`. -/
def of_nat' : Π {n} m [is_lt m n], fin2 n
| 0 m ⟨h⟩ := absurd h (not_lt_zero _)
| (succ n) 0 ⟨h⟩ := fz
| (succ n) (succ m) ⟨h⟩ := fs (@of_nat' n m ⟨lt_of_succ_lt_succ h⟩)
local prefix `&`:max := of_nat'
end fin2
open fin2
/-- Alternate definition of `vector` based on `fin2`. -/
def vector3 (α : Type u) (n : ℕ) : Type u := fin2 n → α
namespace vector3
/-- The empty vector -/
@[pattern] def nil {α} : vector3 α 0.
/-- The vector cons operation -/
@[pattern] def cons {α} {n} (a : α) (v : vector3 α n) : vector3 α (succ n) :=
λi, by {refine i.cases' _ _, exact a, exact v}
notation a :: b := cons a b
notation `[` l:(foldr `, ` (h t, cons h t) nil `]`) := l
@[simp] theorem cons_fz {α} {n} (a : α) (v : vector3 α n) : (a :: v) fz = a := rfl
@[simp] theorem cons_fs {α} {n} (a : α) (v : vector3 α n) (i) : (a :: v) (fs i) = v i := rfl
/-- Get the `i`th element of a vector -/
@[reducible] def nth {α} {n} (i : fin2 n) (v : vector3 α n) : α := v i
/-- Construct a vector from a function on `fin2`. -/
@[reducible] def of_fn {α} {n} (f : fin2 n → α) : vector3 α n := f
/-- Get the head of a nonempty vector. -/
def head {α} {n} (v : vector3 α (succ n)) : α := v fz
/-- Get the tail of a nonempty vector. -/
def tail {α} {n} (v : vector3 α (succ n)) : vector3 α n := λi, v (fs i)
theorem eq_nil {α} (v : vector3 α 0) : v = [] :=
funext $ λi, match i with end
theorem cons_head_tail {α} {n} (v : vector3 α (succ n)) : head v :: tail v = v :=
funext $ λi, fin2.cases' rfl (λ_, rfl) i
def nil_elim {α} {C : vector3 α 0 → Sort u} (H : C []) (v : vector3 α 0) : C v :=
by rw eq_nil v; apply H
def cons_elim {α n} {C : vector3 α (succ n) → Sort u} (H : Π (a : α) (t : vector3 α n), C (a :: t))
(v : vector3 α (succ n)) : C v :=
by rw ← (cons_head_tail v); apply H
@[simp] theorem cons_elim_cons {α n C H a t} : @cons_elim α n C H (a :: t) = H a t := rfl
@[elab_as_eliminator]
protected def rec_on {α} {C : Π {n}, vector3 α n → Sort u} {n} (v : vector3 α n)
(H0 : C [])
(Hs : Π {n} (a) (w : vector3 α n), C w → C (a :: w)) : C v :=
nat.rec_on n
(λv, v.nil_elim H0)
(λn IH v, v.cons_elim (λa t, Hs _ _ (IH _))) v
@[simp] theorem rec_on_nil {α C H0 Hs} : @vector3.rec_on α @C 0 [] H0 @Hs = H0 :=
rfl
@[simp] theorem rec_on_cons {α C H0 Hs n a v} :
@vector3.rec_on α @C (succ n) (a :: v) H0 @Hs = Hs a v (@vector3.rec_on α @C n v H0 @Hs) :=
rfl
/-- Append two vectors -/
def append {α} {m} (v : vector3 α m) {n} (w : vector3 α n) : vector3 α (n+m) :=
nat.rec_on m (λ_, w) (λm IH v, v.cons_elim $ λa t, @fin2.cases' (n+m) (λ_, α) a (IH t)) v
infix ` +-+ `:65 := append
@[simp] theorem append_nil {α} {n} (w : vector3 α n) : [] +-+ w = w := rfl
@[simp] theorem append_cons {α} (a : α) {m} (v : vector3 α m) {n} (w : vector3 α n) :
(a::v) +-+ w = a :: (v +-+ w) := rfl
@[simp] theorem append_left {α} : ∀ {m} (i : fin2 m) (v : vector3 α m) {n} (w : vector3 α n),
(v +-+ w) (left n i) = v i
| ._ (@fz m) v n w := v.cons_elim (λa t, by simp [*, left])
| ._ (@fs m i) v n w := v.cons_elim (λa t, by simp [*, left])
@[simp] theorem append_add {α} : ∀ {m} (v : vector3 α m) {n} (w : vector3 α n) (i : fin2 n),
(v +-+ w) (add i m) = w i
| 0 v n w i := rfl
| (succ m) v n w i := v.cons_elim (λa t, by simp [*, add])
/-- Insert `a` into `v` at index `i`. -/
def insert {α} (a : α) {n} (v : vector3 α n) (i : fin2 (succ n)) : vector3 α (succ n) :=
λj, (a :: v) (insert_perm i j)
@[simp] theorem insert_fz {α} (a : α) {n} (v : vector3 α n) : insert a v fz = a :: v :=
by refine funext (λj, j.cases' _ _); intros; refl
@[simp] theorem insert_fs {α} (a : α) {n} (b : α) (v : vector3 α n) (i : fin2 (succ n)) :
insert a (b :: v) (fs i) = b :: insert a v i :=
funext $ λj, by {
refine j.cases' _ (λj, _); simp [insert, insert_perm],
refine fin2.cases' _ _ (insert_perm i j); simp [insert_perm] }
theorem append_insert {α} (a : α) {k} (t : vector3 α k) {n} (v : vector3 α n) (i : fin2 (succ n)) (e : succ n + k = succ (n + k)) :
insert a (t +-+ v) (eq.rec_on e (i.add k)) = eq.rec_on e (t +-+ insert a v i) :=
begin
refine vector3.rec_on t (λe, _) (λk b t IH e, _) e, refl,
have e' := succ_add n k,
change insert a (b :: (t +-+ v)) (eq.rec_on (congr_arg succ e') (fs (add i k)))
= eq.rec_on (congr_arg succ e') (b :: (t +-+ insert a v i)),
rw ← (eq.drec_on e' rfl : fs (eq.rec_on e' (i.add k) : fin2 (succ (n + k))) = eq.rec_on (congr_arg succ e') (fs (i.add k))),
simp, rw IH, exact eq.drec_on e' rfl
end
end vector3
open vector3
/-- "Curried" exists, i.e. ∃ x1 ... xn, f [x1, ..., xn] -/
def vector_ex {α} : Π k, (vector3 α k → Prop) → Prop
| 0 f := f []
| (succ k) f := ∃x : α, vector_ex k (λv, f (x :: v))
/-- "Curried" forall, i.e. ∀ x1 ... xn, f [x1, ..., xn] -/
def vector_all {α} : Π k, (vector3 α k → Prop) → Prop
| 0 f := f []
| (succ k) f := ∀x : α, vector_all k (λv, f (x :: v))
theorem exists_vector_zero {α} (f : vector3 α 0 → Prop) : Exists f ↔ f [] :=
⟨λ⟨v, fv⟩, by rw ← (eq_nil v); exact fv, λf0, ⟨[], f0⟩⟩
theorem exists_vector_succ {α n} (f : vector3 α (succ n) → Prop) : Exists f ↔ ∃x v, f (x :: v) :=
⟨λ⟨v, fv⟩, ⟨_, _, by rw cons_head_tail v; exact fv⟩, λ⟨x, v, fxv⟩, ⟨_, fxv⟩⟩
theorem vector_ex_iff_exists {α} : ∀ {n} (f : vector3 α n → Prop), vector_ex n f ↔ Exists f
| 0 f := (exists_vector_zero f).symm
| (succ n) f := iff.trans (exists_congr (λx, vector_ex_iff_exists _)) (exists_vector_succ f).symm
theorem vector_all_iff_forall {α} : ∀ {n} (f : vector3 α n → Prop), vector_all n f ↔ ∀ v, f v
| 0 f := ⟨λf0 v, v.nil_elim f0, λal, al []⟩
| (succ n) f := (forall_congr (λx, vector_all_iff_forall (λv, f (x :: v)))).trans
⟨λal v, v.cons_elim al, λal x v, al (x::v)⟩
/-- `vector_allp p v` is equivalent to `∀ i, p (v i)`, but unfolds directly to a conjunction,
i.e. `vector_allp p [0, 1, 2] = p 0 ∧ p 1 ∧ p 2`. -/
def vector_allp {α} (p : α → Prop) {n} (v : vector3 α n) : Prop :=
vector3.rec_on v true (λn a v IH, @vector3.rec_on _ (λn v, Prop) _ v (p a) (λn b v' _, p a ∧ IH))
@[simp] theorem vector_allp_nil {α} (p : α → Prop) : vector_allp p [] = true := rfl
@[simp] theorem vector_allp_singleton {α} (p : α → Prop) (x : α) : vector_allp p [x] = p x := rfl
@[simp] theorem vector_allp_cons {α} (p : α → Prop) {n} (x : α) (v : vector3 α n) :
vector_allp p (x :: v) ↔ p x ∧ vector_allp p v :=
vector3.rec_on v (and_true _).symm (λn a v IH, iff.rfl)
theorem vector_allp_iff_forall {α} (p : α → Prop) {n} (v : vector3 α n) : vector_allp p v ↔ ∀ i, p (v i) :=
begin refine v.rec_on _ _,
{ exact ⟨λ_, fin2.elim0, λ_, trivial⟩ },
{ simp, refine λn a v IH, (and_congr_right (λ_, IH)).trans
⟨λ⟨pa, h⟩ i, by {refine i.cases' _ _, exacts [pa, h]}, λh, ⟨_, λi, _⟩⟩,
{ have h0 := h fz, simp at h0, exact h0 },
{ have hs := h (fs i), simp at hs, exact hs } }
end
theorem vector_allp.imp {α} {p q : α → Prop} (h : ∀ x, p x → q x)
{n} {v : vector3 α n} (al : vector_allp p v) : vector_allp q v :=
(vector_allp_iff_forall _ _).2 (λi, h _ $ (vector_allp_iff_forall _ _).1 al _)
/-- `list_all p l` is equivalent to `∀ a ∈ l, p a`, but unfolds directly to a conjunction,
i.e. `list_all p [0, 1, 2] = p 0 ∧ p 1 ∧ p 2`. -/
@[simp] def list_all {α} (p : α → Prop) : list α → Prop
| [] := true
| (x :: []) := p x
| (x :: l) := p x ∧ list_all l
@[simp] theorem list_all_cons {α} (p : α → Prop) (x : α) : ∀ (l : list α), list_all p (x :: l) ↔ p x ∧ list_all p l
| [] := (and_true _).symm
| (x :: l) := iff.rfl
theorem list_all_iff_forall {α} (p : α → Prop) : ∀ (l : list α), list_all p l ↔ ∀ x ∈ l, p x
| [] := (iff_true_intro $ list.ball_nil _).symm
| (x :: l) := by rw [list.ball_cons, ← list_all_iff_forall l]; simp
theorem list_all.imp {α} {p q : α → Prop} (h : ∀ x, p x → q x) : ∀ {l : list α}, list_all p l → list_all q l
| [] := id
| (x :: l) := by simpa using and.imp (h x) list_all.imp
@[simp] theorem list_all_map {α β} {p : β → Prop} (f : α → β) {l : list α} : list_all p (l.map f) ↔ list_all (p ∘ f) l :=
by induction l; simp *
theorem list_all_congr {α} {p q : α → Prop} (h : ∀ x, p x ↔ q x) {l : list α} : list_all p l ↔ list_all q l :=
⟨list_all.imp (λx, (h x).1), list_all.imp (λx, (h x).2)⟩
instance decidable_list_all {α} (p : α → Prop) [decidable_pred p] (l : list α) : decidable (list_all p l) :=
decidable_of_decidable_of_iff (by apply_instance) (list_all_iff_forall _ _).symm
/- poly -/
/-- A predicate asserting that a function is a multivariate integer polynomial.
(We are being a bit lazy here by allowing many representations for multiplication,
rather than only allowing monomials and addition, but the definition is equivalent
and this is easier to use.) -/
inductive is_poly {α} : ((α → ℕ) → ℤ) → Prop
| proj : ∀ i, is_poly (λx : α → ℕ, x i)
| const : Π (n : ℤ), is_poly (λx : α → ℕ, n)
| sub : Π {f g : (α → ℕ) → ℤ}, is_poly f → is_poly g → is_poly (λx, f x - g x)
| mul : Π {f g : (α → ℕ) → ℤ}, is_poly f → is_poly g → is_poly (λx, f x * g x)
/-- The type of multivariate integer polynomials -/
def poly (α : Type u) := {f : (α → ℕ) → ℤ // is_poly f}
namespace poly
section
parameter {α : Type u}
instance : has_coe_to_fun (poly α) := ⟨_, λ f, f.1⟩
/-- The underlying function of a `poly` is a polynomial -/
def isp (f : poly α) : is_poly f := f.2
/-- Extensionality for `poly α` -/
def ext {f g : poly α} (e : ∀x, f x = g x) : f = g :=
subtype.eq (funext e)
/-- Construct a `poly` given an extensionally equivalent `poly`. -/
def subst (f : poly α) (g : (α → ℕ) → ℤ) (e : ∀x, f x = g x) : poly α :=
⟨g, by rw ← (funext e : coe_fn f = g); exact f.isp⟩
@[simp] theorem subst_eval (f g e x) : subst f g e x = g x := rfl
/-- The `i`th projection function, `x_i`. -/
def proj (i) : poly α := ⟨_, is_poly.proj i⟩
@[simp] theorem proj_eval (i x) : proj i x = x i := rfl
/-- The constant function with value `n : ℤ`. -/
def const (n) : poly α := ⟨_, is_poly.const n⟩
@[simp] theorem const_eval (n x) : const n x = n := rfl
/-- The zero polynomial -/
def zero : poly α := const 0
instance : has_zero (poly α) := ⟨poly.zero⟩
@[simp] theorem zero_eval (x) : (0 : poly α) x = 0 := rfl
/-- The zero polynomial -/
def one : poly α := const 1
instance : has_one (poly α) := ⟨poly.one⟩
@[simp] theorem one_eval (x) : (1 : poly α) x = 1 := rfl
/-- Subtraction of polynomials -/
def sub : poly α → poly α → poly α | ⟨f, pf⟩ ⟨g, pg⟩ :=
⟨_, is_poly.sub pf pg⟩
instance : has_sub (poly α) := ⟨poly.sub⟩
@[simp] theorem sub_eval : Π (f g x), (f - g : poly α) x = f x - g x
| ⟨f, pf⟩ ⟨g, pg⟩ x := rfl
/-- Negation of a polynomial -/
def neg (f : poly α) : poly α := 0 - f
instance : has_neg (poly α) := ⟨poly.neg⟩
@[simp] theorem neg_eval (f x) : (-f : poly α) x = -f x :=
show (0-f) x = _, by simp
/-- Addition of polynomials -/
def add : poly α → poly α → poly α | ⟨f, pf⟩ ⟨g, pg⟩ :=
subst (⟨f, pf⟩ - -⟨g, pg⟩) _
(λx, show f x - (0 - g x) = f x + g x, by simp)
instance : has_add (poly α) := ⟨poly.add⟩
@[simp] theorem add_eval : Π (f g x), (f + g : poly α) x = f x + g x
| ⟨f, pf⟩ ⟨g, pg⟩ x := rfl
/-- Multiplication of polynomials -/
def mul : poly α → poly α → poly α | ⟨f, pf⟩ ⟨g, pg⟩ :=
⟨_, is_poly.mul pf pg⟩
instance : has_mul (poly α) := ⟨poly.mul⟩
@[simp] theorem mul_eval : Π (f g x), (f * g : poly α) x = f x * g x
| ⟨f, pf⟩ ⟨g, pg⟩ x := rfl
instance : comm_ring (poly α) := by refine
{ add := (+),
zero := 0,
neg := has_neg.neg,
mul := (*),
one := 1, .. }; {intros, exact ext (λx, by simp [mul_add, mul_left_comm, mul_comm])}
def induction {C : poly α → Prop}
(H1 : ∀i, C (proj i)) (H2 : ∀n, C (const n))
(H3 : ∀f g, C f → C g → C (f - g))
(H4 : ∀f g, C f → C g → C (f * g)) (f : poly α) : C f :=
begin
cases f with f pf,
induction pf with i n f g pf pg ihf ihg f g pf pg ihf ihg,
apply H1, apply H2, apply H3 _ _ ihf ihg, apply H4 _ _ ihf ihg
end
/-- The sum of squares of a list of polynomials. This is relevant for
Diophantine equations, because it means that a list of equations
can be encoded as a single equation: `x = 0 ∧ y = 0 ∧ z = 0` is
equivalent to `x^2 + y^2 + z^2 = 0`. -/
def sumsq : list (poly α) → poly α
| [] := 0
| (p::ps) := p*p + sumsq ps
theorem sumsq_nonneg (x) : ∀ l, 0 ≤ sumsq l x
| [] := le_refl 0
| (p::ps) := by rw sumsq; simp [-add_comm];
exact add_nonneg (mul_self_nonneg _) (sumsq_nonneg ps)
theorem sumsq_eq_zero (x) : ∀ l, sumsq l x = 0 ↔ list_all (λa : poly α, a x = 0) l
| [] := eq_self_iff_true _
| (p::ps) := by rw [list_all_cons, ← sumsq_eq_zero ps]; rw sumsq; simp [-add_comm]; exact
⟨λ(h : p x * p x + sumsq ps x = 0),
have p x = 0, from eq_zero_of_mul_self_eq_zero $ le_antisymm
(by rw ← h; have t := add_le_add_left (sumsq_nonneg x ps) (p x * p x); rwa [add_zero] at t)
(mul_self_nonneg _),
⟨this, by simp [this] at h; exact h⟩,
λ⟨h1, h2⟩, by rw [h1, h2]; refl⟩
end
/-- Map the index set of variables, replacing `x_i` with `x_(f i)`. -/
def remap {α β} (f : α → β) (g : poly α) : poly β :=
⟨λv, g $ v ∘ f, g.induction
(λi, by simp; apply is_poly.proj)
(λn, by simp; apply is_poly.const)
(λf g pf pg, by simp; apply is_poly.sub pf pg)
(λf g pf pg, by simp; apply is_poly.mul pf pg)⟩
@[simp] theorem remap_eval {α β} (f : α → β) (g : poly α) (v) : remap f g v = g (v ∘ f) := rfl
end poly
namespace sum
/-- combine two functions into a function on the disjoint union -/
def join {α β γ} (f : α → γ) (g : β → γ) : α ⊕ β → γ :=
by {refine sum.rec _ _, exacts [f, g]}
end sum
local infixr ` ⊗ `:65 := sum.join
open sum
namespace option
/-- Functions from `option` can be combined similarly to `vector.cons` -/
def cons {α β} (a : β) (v : α → β) : option α → β :=
by {refine option.rec _ _, exacts [a, v]}
notation a :: b := cons a b
@[simp] theorem cons_head_tail {α β} (v : option α → β) : v none :: v ∘ some = v :=
funext $ λo, by cases o; refl
end option
/- dioph -/
/-- A set `S ⊆ ℕ^α` is diophantine if there exists a polynomial on
`α ⊕ β` such that `v ∈ S` iff there exists `t : ℕ^β` with `p (v, t) = 0`. -/
def dioph {α : Type u} (S : set (α → ℕ)) : Prop :=
∃ {β : Type u} (p : poly (α ⊕ β)), ∀ (v : α → ℕ), S v ↔ ∃t, p (v ⊗ t) = 0
namespace dioph
section
variables {α β γ : Type u}
theorem ext {S S' : set (α → ℕ)} (d : dioph S) (H : ∀v, S v ↔ S' v) : dioph S' :=
eq.rec d $ show S = S', from set.ext H
theorem of_no_dummies (S : set (α → ℕ)) (p : poly α) (h : ∀ (v : α → ℕ), S v ↔ p v = 0) : dioph S :=
⟨ulift empty, p.remap inl, λv, (h v).trans
⟨λh, ⟨λt, empty.rec _ t.down, by simp; rw [
show (v ⊗ λt:ulift empty, empty.rec _ t.down) ∘ inl = v, from rfl, h]⟩,
λ⟨t, ht⟩, by simp at ht; rwa [show (v ⊗ t) ∘ inl = v, from rfl] at ht⟩⟩
lemma inject_dummies_lem (f : β → γ) (g : γ → option β) (inv : ∀ x, g (f x) = some x)
(p : poly (α ⊕ β)) (v : α → ℕ) : (∃t, p (v ⊗ t) = 0) ↔
(∃t, p.remap (inl ⊗ (inr ∘ f)) (v ⊗ t) = 0) :=
begin
simp, refine ⟨λt, _, λt, _⟩; cases t with t ht,
{ have : (v ⊗ (0 :: t) ∘ g) ∘ (inl ⊗ inr ∘ f) = v ⊗ t :=
funext (λs, by cases s with a b; dsimp [join, (∘)]; try {rw inv}; refl),
exact ⟨(0 :: t) ∘ g, by rwa this⟩ },
{ have : v ⊗ t ∘ f = (v ⊗ t) ∘ (inl ⊗ inr ∘ f) :=
funext (λs, by cases s with a b; refl),
exact ⟨t ∘ f, by rwa this⟩ }
end
theorem inject_dummies {S : set (α → ℕ)} (f : β → γ) (g : γ → option β) (inv : ∀ x, g (f x) = some x)
(p : poly (α ⊕ β)) (h : ∀ (v : α → ℕ), S v ↔ ∃t, p (v ⊗ t) = 0) :
∃ q : poly (α ⊕ γ), ∀ (v : α → ℕ), S v ↔ ∃t, q (v ⊗ t) = 0 :=
⟨p.remap (inl ⊗ (inr ∘ f)), λv, (h v).trans $ inject_dummies_lem f g inv _ _⟩
theorem reindex_dioph {S : set (α → ℕ)} : Π (d : dioph S) (f : α → β), dioph (λv, S (v ∘ f))
| ⟨γ, p, pe⟩ f := ⟨γ, p.remap ((inl ∘ f) ⊗ inr), λv, (pe _).trans $ exists_congr $ λt,
suffices v ∘ f ⊗ t = (v ⊗ t) ∘ (inl ∘ f ⊗ inr), by simp [this],
funext $ λs, by cases s with a b; refl⟩
theorem dioph_list_all (l) (d : list_all dioph l) : dioph (λv, list_all (λS : set (α → ℕ), S v) l) :=
suffices ∃ β (pl : list (poly (α ⊕ β))), ∀ v, list_all (λS : set _, S v) l ↔ ∃t, list_all (λp : poly (α ⊕ β), p (v ⊗ t) = 0) pl,
from let ⟨β, pl, h⟩ := this in ⟨β, poly.sumsq pl, λv, (h v).trans $ exists_congr $ λt, (poly.sumsq_eq_zero _ _).symm⟩,
begin
induction l with S l IH,
exact ⟨ulift empty, [], λv, by simp; exact ⟨λ⟨t⟩, empty.rec _ t, trivial⟩⟩,
simp at d,
exact let ⟨⟨β, p, pe⟩, dl⟩ := d, ⟨γ, pl, ple⟩ := IH dl in
⟨β ⊕ γ, p.remap (inl ⊗ inr ∘ inl) :: pl.map (λq, q.remap (inl ⊗ (inr ∘ inr))), λv,
by simp; exact iff.trans (and_congr (pe v) (ple v))
⟨λ⟨⟨m, hm⟩, ⟨n, hn⟩⟩,
⟨m ⊗ n, by rw [
show (v ⊗ m ⊗ n) ∘ (inl ⊗ inr ∘ inl) = v ⊗ m,
from funext $ λs, by cases s with a b; refl]; exact hm,
by { refine list_all.imp (λq hq, _) hn, dsimp [(∘)],
rw [show (λ (x : α ⊕ γ), (v ⊗ m ⊗ n) ((inl ⊗ λ (x : γ), inr (inr x)) x)) = v ⊗ n,
from funext $ λs, by cases s with a b; refl]; exact hq }⟩,
λ⟨t, hl, hr⟩,
⟨⟨t ∘ inl, by rwa [
show (v ⊗ t) ∘ (inl ⊗ inr ∘ inl) = v ⊗ t ∘ inl,
from funext $ λs, by cases s with a b; refl] at hl⟩,
⟨t ∘ inr, by {
refine list_all.imp (λq hq, _) hr, dsimp [(∘)] at hq,
rwa [show (λ (x : α ⊕ γ), (v ⊗ t) ((inl ⊗ λ (x : γ), inr (inr x)) x)) = v ⊗ t ∘ inr,
from funext $ λs, by cases s with a b; refl] at hq }⟩⟩⟩⟩
end
theorem and_dioph {S S' : set (α → ℕ)} (d : dioph S) (d' : dioph S') : dioph (λv, S v ∧ S' v) :=
dioph_list_all [S, S'] ⟨d, d'⟩
theorem or_dioph {S S' : set (α → ℕ)} : ∀ (d : dioph S) (d' : dioph S'), dioph (λv, S v ∨ S' v)
| ⟨β, p, pe⟩ ⟨γ, q, qe⟩ := ⟨β ⊕ γ, p.remap (inl ⊗ inr ∘ inl) * q.remap (inl ⊗ inr ∘ inr), λv,
begin
refine iff.trans (or_congr ((pe v).trans _) ((qe v).trans _)) (exists_or_distrib.symm.trans (exists_congr $ λt,
(@mul_eq_zero_iff_eq_zero_or_eq_zero _ _ (p ((v ⊗ t) ∘ (inl ⊗ inr ∘ inl))) (q ((v ⊗ t) ∘ (inl ⊗ inr ∘ inr)))).symm)),
exact inject_dummies_lem _ (some ⊗ (λ_, none)) (λx, rfl) _ _,
exact inject_dummies_lem _ ((λ_, none) ⊗ some) (λx, rfl) _ _,
end⟩
/-- A partial function is Diophantine if its graph is Diophantine. -/
def dioph_pfun (f : (α → ℕ) →. ℕ) := dioph (λv : option α → ℕ, f.graph (v ∘ some, v none))
/-- A function is Diophantine if its graph is Diophantine. -/
def dioph_fn (f : (α → ℕ) → ℕ) := dioph (λv : option α → ℕ, f (v ∘ some) = v none)
theorem reindex_dioph_fn {f : (α → ℕ) → ℕ} (d : dioph_fn f) (g : α → β) : dioph_fn (λv, f (v ∘ g)) :=
reindex_dioph d (functor.map g)
theorem ex_dioph {S : set (α ⊕ β → ℕ)} : dioph S → dioph (λv, ∃x, S (v ⊗ x))
| ⟨γ, p, pe⟩ := ⟨β ⊕ γ, p.remap ((inl ⊗ inr ∘ inl) ⊗ inr ∘ inr), λv,
⟨λ⟨x, hx⟩, let ⟨t, ht⟩ := (pe _).1 hx in ⟨x ⊗ t, by simp; rw [
show (v ⊗ x ⊗ t) ∘ ((inl ⊗ inr ∘ inl) ⊗ inr ∘ inr) = (v ⊗ x) ⊗ t,
from funext $ λs, by cases s with a b; try {cases a}; refl]; exact ht⟩,
λ⟨t, ht⟩, ⟨t ∘ inl, (pe _).2 ⟨t ∘ inr, by simp at ht; rwa [
show (v ⊗ t) ∘ ((inl ⊗ inr ∘ inl) ⊗ inr ∘ inr) = (v ⊗ t ∘ inl) ⊗ t ∘ inr,
from funext $ λs, by cases s with a b; try {cases a}; refl] at ht⟩⟩⟩⟩
theorem ex1_dioph {S : set (option α → ℕ)} : dioph S → dioph (λv, ∃x, S (x :: v))
| ⟨β, p, pe⟩ := ⟨option β, p.remap (inr none :: inl ⊗ inr ∘ some), λv,
⟨λ⟨x, hx⟩, let ⟨t, ht⟩ := (pe _).1 hx in ⟨x :: t, by simp; rw [
show (v ⊗ x :: t) ∘ (inr none :: inl ⊗ inr ∘ some) = x :: v ⊗ t,
from funext $ λs, by cases s with a b; try {cases a}; refl]; exact ht⟩,
λ⟨t, ht⟩, ⟨t none, (pe _).2 ⟨t ∘ some, by simp at ht; rwa [
show (v ⊗ t) ∘ (inr none :: inl ⊗ inr ∘ some) = t none :: v ⊗ t ∘ some,
from funext $ λs, by cases s with a b; try {cases a}; refl] at ht⟩⟩⟩⟩
theorem dom_dioph {f : (α → ℕ) →. ℕ} (d : dioph_pfun f) : dioph f.dom :=
cast (congr_arg dioph $ set.ext $ λv, (pfun.dom_iff_graph _ _).symm) (ex1_dioph d)
theorem dioph_fn_iff_pfun (f : (α → ℕ) → ℕ) : dioph_fn f = @dioph_pfun α f :=
by refine congr_arg dioph (set.ext $ λv, _); exact pfun.lift_graph.symm
theorem abs_poly_dioph (p : poly α) : dioph_fn (λv, (p v).nat_abs) :=
by refine of_no_dummies _ ((p.remap some - poly.proj none) * (p.remap some + poly.proj none)) (λv, _);
apply int.eq_nat_abs_iff_mul
theorem proj_dioph (i : α) : dioph_fn (λv, v i) :=
abs_poly_dioph (poly.proj i)
theorem dioph_pfun_comp1 {S : set (option α → ℕ)} (d : dioph S) {f} (df : dioph_pfun f) :
dioph (λv : α → ℕ, ∃ h : f.dom v, S (f.fn v h :: v)) :=
ext (ex1_dioph (and_dioph d df)) $ λv,
⟨λ⟨x, hS, (h: Exists _)⟩, by
rw [show (x :: v) ∘ some = v, from funext $ λs, rfl] at h;
cases h with hf h; refine ⟨hf, _⟩; rw [pfun.fn, h]; exact hS,
λ⟨x, hS⟩, ⟨f.fn v x, hS, show Exists _,
by rw [show (f.fn v x :: v) ∘ some = v, from funext $ λs, rfl]; exact ⟨x, rfl⟩⟩⟩
theorem dioph_fn_comp1 {S : set (option α → ℕ)} (d : dioph S) {f : (α → ℕ) → ℕ} (df : dioph_fn f) :
dioph (λv : α → ℕ, S (f v :: v)) :=
ext (dioph_pfun_comp1 d (cast (dioph_fn_iff_pfun f) df)) $ λv,
⟨λ⟨_, h⟩, h, λh, ⟨trivial, h⟩⟩
end
section
variables {α β γ : Type}
theorem dioph_fn_vec_comp1 {n} {S : set (vector3 ℕ (succ n))} (d : dioph S) {f : (vector3 ℕ n) → ℕ} (df : dioph_fn f) :
dioph (λv : vector3 ℕ n, S (cons (f v) v)) :=
ext (dioph_fn_comp1 (reindex_dioph d (none :: some)) df) $ λv, by rw [
show option.cons (f v) v ∘ (cons none some) = f v :: v,
from funext $ λs, by cases s with a b; refl]
theorem vec_ex1_dioph (n) {S : set (vector3 ℕ (succ n))} (d : dioph S) : dioph (λv : vector3 ℕ n, ∃x, S (x :: v)) :=
ext (ex1_dioph $ reindex_dioph d (none :: some)) $ λv, exists_congr $ λx, by rw [
show (option.cons x v) ∘ (cons none some) = x :: v,
from funext $ λs, by cases s with a b; refl]
theorem dioph_fn_vec {n} (f : vector3 ℕ n → ℕ) : dioph_fn f ↔ dioph (λv : vector3 ℕ (succ n), f (v ∘ fs) = v fz) :=
⟨λh, reindex_dioph h (fz :: fs), λh, reindex_dioph h (none :: some)⟩
theorem dioph_pfun_vec {n} (f : vector3 ℕ n →. ℕ) : dioph_pfun f ↔ dioph (λv : vector3 ℕ (succ n), f.graph (v ∘ fs, v fz)) :=
⟨λh, reindex_dioph h (fz :: fs), λh, reindex_dioph h (none :: some)⟩
theorem dioph_fn_compn {α : Type} : ∀ {n} {S : set (α ⊕ fin2 n → ℕ)} (d : dioph S) {f : vector3 ((α → ℕ) → ℕ) n} (df : vector_allp dioph_fn f),
dioph (λv : α → ℕ, S (v ⊗ λi, f i v))
| 0 S d f := λdf, ext (reindex_dioph d (id ⊗ fin2.elim0)) $ λv,
by refine eq.to_iff (congr_arg S $ funext $ λs, _); {cases s with a b, refl, cases b}
| (succ n) S d f := f.cons_elim $ λf fl, by simp; exact λ df dfl,
have dioph (λv, S (v ∘ inl ⊗ f (v ∘ inl) :: v ∘ inr)),
from ext (dioph_fn_comp1 (reindex_dioph d (some ∘ inl ⊗ none :: some ∘ inr)) (reindex_dioph_fn df inl)) $
λv, by {refine eq.to_iff (congr_arg S $ funext $ λs, _); cases s with a b, refl, cases b; refl},
have dioph (λv, S (v ⊗ f v :: λ (i : fin2 n), fl i v)),
from @dioph_fn_compn n (λv, S (v ∘ inl ⊗ f (v ∘ inl) :: v ∘ inr)) this _ dfl,
ext this $ λv, by rw [
show cons (f v) (λ (i : fin2 n), fl i v) = λ (i : fin2 (succ n)), (f :: fl) i v,
from funext $ λs, by cases s with a b; refl]
theorem dioph_comp {n} {S : set (vector3 ℕ n)} (d : dioph S)
(f : vector3 ((α → ℕ) → ℕ) n) (df : vector_allp dioph_fn f) : dioph (λv, S (λi, f i v)) :=
dioph_fn_compn (reindex_dioph d inr) df
theorem dioph_fn_comp {n} {f : vector3 ℕ n → ℕ} (df : dioph_fn f)
(g : vector3 ((α → ℕ) → ℕ) n) (dg : vector_allp dioph_fn g) : dioph_fn (λv, f (λi, g i v)) :=
dioph_comp ((dioph_fn_vec _).1 df) ((λv, v none) :: λi v, g i (v ∘ some)) $
by simp; exact ⟨proj_dioph none, (vector_allp_iff_forall _ _).2 $ λi,
reindex_dioph_fn ((vector_allp_iff_forall _ _).1 dg _) _⟩
local notation x ` D∧ `:35 y := and_dioph x y
local notation x ` D∨ `:35 y := or_dioph x y
local notation `D∃`:30 := vec_ex1_dioph
local prefix `&`:max := of_nat'
theorem proj_dioph_of_nat {n : ℕ} (m : ℕ) [is_lt m n] : dioph_fn (λv : vector3 ℕ n, v &m) :=
proj_dioph &m
local prefix `D&`:100 := proj_dioph_of_nat
theorem const_dioph (n : ℕ) : dioph_fn (const (α → ℕ) n) :=
abs_poly_dioph (poly.const n)
local prefix `D.`:100 := const_dioph
variables {f g : (α → ℕ) → ℕ} (df : dioph_fn f) (dg : dioph_fn g)
include df dg
theorem dioph_comp2 {S : ℕ → ℕ → Prop} (d : dioph (λv:vector3 ℕ 2, S (v &0) (v &1))) :
dioph (λv, S (f v) (g v)) :=
dioph_comp d [f, g] (by exact ⟨df, dg⟩)
theorem dioph_fn_comp2 {h : ℕ → ℕ → ℕ} (d : dioph_fn (λv:vector3 ℕ 2, h (v &0) (v &1))) :
dioph_fn (λv, h (f v) (g v)) :=
dioph_fn_comp d [f, g] (by exact ⟨df, dg⟩)
theorem eq_dioph : dioph (λv, f v = g v) :=
dioph_comp2 df dg $ of_no_dummies _ (poly.proj &0 - poly.proj &1)
(λv, (int.coe_nat_eq_coe_nat_iff _ _).symm.trans
⟨@sub_eq_zero_of_eq ℤ _ (v &0) (v &1), eq_of_sub_eq_zero⟩)
local infix ` D= `:50 := eq_dioph
theorem add_dioph : dioph_fn (λv, f v + g v) :=
dioph_fn_comp2 df dg $ abs_poly_dioph (poly.proj &0 + poly.proj &1)
local infix ` D+ `:80 := add_dioph
theorem mul_dioph : dioph_fn (λv, f v * g v) :=
dioph_fn_comp2 df dg $ abs_poly_dioph (poly.proj &0 * poly.proj &1)
local infix ` D* `:90 := mul_dioph
theorem le_dioph : dioph (λv, f v ≤ g v) :=
dioph_comp2 df dg $ ext (D∃2 $ D&1 D+ D&0 D= D&2) (λv, ⟨λ⟨x, hx⟩, le.intro hx, le.dest⟩)
local infix ` D≤ `:50 := le_dioph
theorem lt_dioph : dioph (λv, f v < g v) := df D+ (D. 1) D≤ dg
local infix ` D< `:50 := lt_dioph
theorem ne_dioph : dioph (λv, f v ≠ g v) :=
ext (df D< dg D∨ dg D< df) $ λv, ne_iff_lt_or_gt.symm
local infix ` D≠ `:50 := ne_dioph
theorem sub_dioph : dioph_fn (λv, f v - g v) :=
dioph_fn_comp2 df dg $ (dioph_fn_vec _).2 $
ext (D&1 D= D&0 D+ D&2 D∨ D&1 D≤ D&2 D∧ D&0 D= D.0) $ (vector_all_iff_forall _).1 $ λx y z,
show (y = x + z ∨ y ≤ z ∧ x = 0) ↔ y - z = x, from
⟨λo, begin
rcases o with ae | ⟨yz, x0⟩,
{ rw [ae, nat.add_sub_cancel] },
{ rw [x0, nat.sub_eq_zero_of_le yz] }
end, λh, begin
subst x,
cases le_total y z with yz zy,
{ exact or.inr ⟨yz, nat.sub_eq_zero_of_le yz⟩ },
{ exact or.inl (nat.sub_add_cancel zy).symm },
end⟩
local infix ` D- `:80 := sub_dioph
theorem dvd_dioph : dioph (λv, f v ∣ g v) :=
dioph_comp (D∃2 $ D&2 D= D&1 D* D&0) [f, g] (by exact ⟨df, dg⟩)
local infix ` D∣ `:50 := dvd_dioph
theorem mod_dioph : dioph_fn (λv, f v % g v) :=
have dioph (λv : vector3 ℕ 3, (v &2 = 0 ∨ v &0 < v &2) ∧ ∃ (x : ℕ), v &0 + v &2 * x = v &1),
from (D&2 D= D.0 D∨ D&0 D< D&2) D∧ (D∃3 $ D&1 D+ D&3 D* D&0 D= D&2),
dioph_fn_comp2 df dg $ (dioph_fn_vec _).2 $ ext this $ (vector_all_iff_forall _).1 $ λz x y,
show ((y = 0 ∨ z < y) ∧ ∃ c, z + y * c = x) ↔ x % y = z, from
⟨λ⟨h, c, hc⟩, begin rw ← hc; simp; cases h with x0 hl, rw [x0, mod_zero], exact mod_eq_of_lt hl end,
λe, by rw ← e; exact ⟨or_iff_not_imp_left.2 $ λh, mod_lt _ (nat.pos_of_ne_zero h), x / y, mod_add_div _ _⟩⟩
local infix ` D% `:80 := mod_dioph
theorem modeq_dioph {h : (α → ℕ) → ℕ} (dh : dioph_fn h) : dioph (λv, f v ≡ g v [MOD h v]) :=
df D% dh D= dg D% dh
local notation `D≡` := modeq_dioph
theorem div_dioph : dioph_fn (λv, f v / g v) :=
have dioph (λv : vector3 ℕ 3, v &2 = 0 ∧ v &0 = 0 ∨ v &0 * v &2 ≤ v &1 ∧ v &1 < (v &0 + 1) * v &2),
from (D&2 D= D.0 D∧ D&0 D= D.0) D∨ D&0 D* D&2 D≤ D&1 D∧ D&1 D< (D&0 D+ D.1) D* D&2,
dioph_fn_comp2 df dg $ (dioph_fn_vec _).2 $ ext this $ (vector_all_iff_forall _).1 $ λz x y,
show y = 0 ∧ z = 0 ∨ z * y ≤ x ∧ x < (z + 1) * y ↔ x / y = z,
by refine iff.trans _ eq_comm; exact y.eq_zero_or_pos.elim
(λy0, by rw [y0, nat.div_zero]; exact
⟨λo, (o.resolve_right $ λ⟨_, h2⟩, not_lt_zero _ h2).right, λz0, or.inl ⟨rfl, z0⟩⟩)
(λypos, iff.trans ⟨λo, o.resolve_left $ λ⟨h1, _⟩, ne_of_gt ypos h1, or.inr⟩
(le_antisymm_iff.trans $ and_congr (nat.le_div_iff_mul_le _ _ ypos) $
iff.trans ⟨lt_succ_of_le, le_of_lt_succ⟩ (div_lt_iff_lt_mul _ _ ypos)).symm)
local infix ` D/ `:80 := div_dioph
omit df dg
open pell
theorem pell_dioph : dioph (λv:vector3 ℕ 4, ∃ h : v &0 > 1,
xn h (v &1) = v &2 ∧ yn h (v &1) = v &3) :=
have dioph {v : vector3 ℕ 4 |
v &0 > 1 ∧ v &1 ≤ v &3 ∧
(v &2 = 1 ∧ v &3 = 0 ∨
∃ (u w s t b : ℕ),
v &2 * v &2 - (v &0 * v &0 - 1) * v &3 * v &3 = 1 ∧
u * u - (v &0 * v &0 - 1) * w * w = 1 ∧
s * s - (b * b - 1) * t * t = 1 ∧
b > 1 ∧ (b ≡ 1 [MOD 4 * v &3]) ∧ (b ≡ v &0 [MOD u]) ∧
w > 0 ∧ v &3 * v &3 ∣ w ∧
(s ≡ v &2 [MOD u]) ∧
(t ≡ v &1 [MOD 4 * v &3]))}, from
D.1 D< D&0 D∧ D&1 D≤ D&3 D∧
((D&2 D= D.1 D∧ D&3 D= D.0) D∨
(D∃4 $ D∃5 $ D∃6 $ D∃7 $ D∃8 $
D&7 D* D&7 D- (D&5 D* D&5 D- D.1) D* D&8 D* D&8 D= D.1 D∧
D&4 D* D&4 D- (D&5 D* D&5 D- D.1) D* D&3 D* D&3 D= D.1 D∧
D&2 D* D&2 D- (D&0 D* D&0 D- D.1) D* D&1 D* D&1 D= D.1 D∧
D.1 D< D&0 D∧ (D≡ (D&0) (D.1) (D.4 D* D&8)) D∧ (D≡ (D&0) (D&5) D&4) D∧
D.0 D< D&3 D∧ D&8 D* D&8 D∣ D&3 D∧
(D≡ (D&2) (D&7) D&4) D∧
(D≡ (D&1) (D&6) (D.4 D* D&8)))),
dioph.ext this $ λv, matiyasevic.symm
theorem xn_dioph : dioph_pfun (λv:vector3 ℕ 2, ⟨v &0 > 1, λh, xn h (v &1)⟩) :=
have dioph (λv:vector3 ℕ 3, ∃ y, ∃ h : v &1 > 1, xn h (v &2) = v &0 ∧ yn h (v &2) = y), from
let D_pell := @reindex_dioph _ (fin2 4) _ pell_dioph [&2, &3, &1, &0] in D∃3 D_pell,
(dioph_pfun_vec _).2 $ dioph.ext this $ λv, ⟨λ⟨y, h, xe, ye⟩, ⟨h, xe⟩, λ⟨h, xe⟩, ⟨_, h, xe, rfl⟩⟩
include df dg
theorem pow_dioph : dioph_fn (λv, f v ^ g v) :=
have dioph {v : vector3 ℕ 3 |
v &2 = 0 ∧ v &0 = 1 ∨ v &2 > 0 ∧
(v &1 = 0 ∧ v &0 = 0 ∨ v &1 > 0 ∧
∃ (w a t z x y : ℕ),
(∃ (a1 : a > 1), xn a1 (v &2) = x ∧ yn a1 (v &2) = y) ∧
(x ≡ y * (a - v &1) + v &0 [MOD t]) ∧
2 * a * v &1 = t + (v &1 * v &1 + 1) ∧
v &0 < t ∧ v &1 ≤ w ∧ v &2 ≤ w ∧
a * a - ((w + 1) * (w + 1) - 1) * (w * z) * (w * z) = 1)}, from
let D_pell := @reindex_dioph _ (fin2 9) _ pell_dioph [&4, &8, &1, &0] in
(D&2 D= D.0 D∧ D&0 D= D.1) D∨ (D.0 D< D&2 D∧
((D&1 D= D.0 D∧ D&0 D= D.0) D∨ (D.0 D< D&1 D∧
(D∃3 $ D∃4 $ D∃5 $ D∃6 $ D∃7 $ D∃8 $ D_pell D∧
(D≡ (D&1) (D&0 D* (D&4 D- D&7) D+ D&6) (D&3)) D∧
D.2 D* D&4 D* D&7 D= D&3 D+ (D&7 D* D&7 D+ D.1) D∧
D&6 D< D&3 D∧ D&7 D≤ D&5 D∧ D&8 D≤ D&5 D∧
D&4 D* D&4 D- ((D&5 D+ D.1) D* (D&5 D+ D.1) D- D.1) D* (D&5 D* D&2) D* (D&5 D* D&2) D= D.1)))),
dioph_fn_comp2 df dg $ (dioph_fn_vec _).2 $ dioph.ext this $ λv, iff.symm $
eq_pow_of_pell.trans $ or_congr iff.rfl $ and_congr iff.rfl $ or_congr iff.rfl $ and_congr iff.rfl $
⟨λ⟨w, a, t, z, a1, h⟩, ⟨w, a, t, z, _, _, ⟨a1, rfl, rfl⟩, h⟩,
λ⟨w, a, t, z, ._, ._, ⟨a1, rfl, rfl⟩, h⟩, ⟨w, a, t, z, a1, h⟩⟩
end
end dioph
|
8be7abf1015d1cd508b339a37b26cd39a639ffcd | 94e33a31faa76775069b071adea97e86e218a8ee | /src/algebra/direct_sum/ring.lean | aae4829ac4f87e4bbecc0a2923421ab694a93096 | [
"Apache-2.0"
] | permissive | urkud/mathlib | eab80095e1b9f1513bfb7f25b4fa82fa4fd02989 | 6379d39e6b5b279df9715f8011369a301b634e41 | refs/heads/master | 1,658,425,342,662 | 1,658,078,703,000 | 1,658,078,703,000 | 186,910,338 | 0 | 0 | Apache-2.0 | 1,568,512,083,000 | 1,557,958,709,000 | Lean | UTF-8 | Lean | false | false | 22,801 | 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 group_theory.subgroup.basic
import algebra.graded_monoid
import algebra.direct_sum.basic
import algebra.big_operators.pi
/-!
# Additively-graded multiplicative structures on `⨁ i, A i`
This module provides a set of heterogeneous typeclasses for defining a multiplicative structure
over `⨁ i, A i` such that `(*) : A i → A j → A (i + j)`; that is to say, `A` forms an
additively-graded ring. The typeclasses are:
* `direct_sum.gnon_unital_non_assoc_semiring A`
* `direct_sum.gsemiring A`
* `direct_sum.gring A`
* `direct_sum.gcomm_semiring A`
* `direct_sum.gcomm_ring A`
Respectively, these imbue the external direct sum `⨁ i, A i` with:
* `direct_sum.non_unital_non_assoc_semiring`, `direct_sum.non_unital_non_assoc_ring`
* `direct_sum.semiring`
* `direct_sum.ring`
* `direct_sum.comm_semiring`
* `direct_sum.comm_ring`
the base ring `A 0` with:
* `direct_sum.grade_zero.non_unital_non_assoc_semiring`,
`direct_sum.grade_zero.non_unital_non_assoc_ring`
* `direct_sum.grade_zero.semiring`
* `direct_sum.grade_zero.ring`
* `direct_sum.grade_zero.comm_semiring`
* `direct_sum.grade_zero.comm_ring`
and the `i`th grade `A i` with `A 0`-actions (`•`) defined as left-multiplication:
* `direct_sum.grade_zero.has_smul (A 0)`, `direct_sum.grade_zero.smul_with_zero (A 0)`
* `direct_sum.grade_zero.module (A 0)`
* (nothing)
* (nothing)
* (nothing)
Note that in the presence of these instances, `⨁ i, A i` itself inherits an `A 0`-action.
`direct_sum.of_zero_ring_hom : A 0 →+* ⨁ i, A i` provides `direct_sum.of A 0` as a ring
homomorphism.
`direct_sum.to_semiring` extends `direct_sum.to_add_monoid` to produce a `ring_hom`.
## Direct sums of subobjects
Additionally, this module provides helper functions to construct `gsemiring` and `gcomm_semiring`
instances for:
* `A : ι → submonoid S`:
`direct_sum.gsemiring.of_add_submonoids`, `direct_sum.gcomm_semiring.of_add_submonoids`.
* `A : ι → subgroup S`:
`direct_sum.gsemiring.of_add_subgroups`, `direct_sum.gcomm_semiring.of_add_subgroups`.
* `A : ι → submodule S`:
`direct_sum.gsemiring.of_submodules`, `direct_sum.gcomm_semiring.of_submodules`.
If `complete_lattice.independent (set.range A)`, these provide a gradation of `⨆ i, A i`, and the
mapping `⨁ i, A i →+ ⨆ i, A i` can be obtained as
`direct_sum.to_monoid (λ i, add_submonoid.inclusion $ le_supr A i)`.
## tags
graded ring, filtered ring, direct sum, add_submonoid
-/
set_option old_structure_cmd true
variables {ι : Type*} [decidable_eq ι]
namespace direct_sum
open_locale direct_sum
/-! ### Typeclasses -/
section defs
variables (A : ι → Type*)
/-- A graded version of `non_unital_non_assoc_semiring`. -/
class gnon_unital_non_assoc_semiring [has_add ι] [Π i, add_comm_monoid (A i)] extends
graded_monoid.ghas_mul A :=
(mul_zero : ∀ {i j} (a : A i), mul a (0 : A j) = 0)
(zero_mul : ∀ {i j} (b : A j), mul (0 : A i) b = 0)
(mul_add : ∀ {i j} (a : A i) (b c : A j), mul a (b + c) = mul a b + mul a c)
(add_mul : ∀ {i j} (a b : A i) (c : A j), mul (a + b) c = mul a c + mul b c)
end defs
section defs
variables (A : ι → Type*)
/-- A graded version of `semiring`. -/
class gsemiring [add_monoid ι] [Π i, add_comm_monoid (A i)] extends
gnon_unital_non_assoc_semiring A, graded_monoid.gmonoid A :=
(nat_cast : ℕ → A 0)
(nat_cast_zero : nat_cast 0 = 0)
(nat_cast_succ : ∀ n : ℕ, nat_cast (n + 1) = nat_cast n + graded_monoid.ghas_one.one)
/-- A graded version of `comm_semiring`. -/
class gcomm_semiring [add_comm_monoid ι] [Π i, add_comm_monoid (A i)] extends
gsemiring A, graded_monoid.gcomm_monoid A
/-- A graded version of `ring`. -/
class gring [add_monoid ι] [Π i, add_comm_group (A i)] extends gsemiring A :=
(int_cast : ℤ → A 0)
(int_cast_of_nat : ∀ n : ℕ, int_cast n = nat_cast n)
(int_cast_neg_succ_of_nat : ∀ n : ℕ, int_cast (-(n+1 : ℕ)) = -nat_cast (n+1 : ℕ))
/-- A graded version of `comm_ring`. -/
class gcomm_ring [add_comm_monoid ι] [Π i, add_comm_group (A i)] extends
gring A, gcomm_semiring A
end defs
lemma of_eq_of_graded_monoid_eq {A : ι → Type*} [Π (i : ι), add_comm_monoid (A i)]
{i j : ι} {a : A i} {b : A j} (h : graded_monoid.mk i a = graded_monoid.mk j b) :
direct_sum.of A i a = direct_sum.of A j b :=
dfinsupp.single_eq_of_sigma_eq h
variables (A : ι → Type*)
/-! ### Instances for `⨁ i, A i` -/
section one
variables [has_zero ι] [graded_monoid.ghas_one A] [Π i, add_comm_monoid (A i)]
instance : has_one (⨁ i, A i) :=
{ one := direct_sum.of (λ i, A i) 0 graded_monoid.ghas_one.one }
end one
section mul
variables [has_add ι] [Π i, add_comm_monoid (A i)] [gnon_unital_non_assoc_semiring A]
open add_monoid_hom (flip_apply coe_comp comp_hom_apply_apply)
/-- The piecewise multiplication from the `has_mul` instance, as a bundled homomorphism. -/
@[simps]
def gmul_hom {i j} : A i →+ A j →+ A (i + j) :=
{ to_fun := λ a,
{ to_fun := λ b, graded_monoid.ghas_mul.mul a b,
map_zero' := gnon_unital_non_assoc_semiring.mul_zero _,
map_add' := gnon_unital_non_assoc_semiring.mul_add _ },
map_zero' := add_monoid_hom.ext $ λ a, gnon_unital_non_assoc_semiring.zero_mul a,
map_add' := λ a₁ a₂, add_monoid_hom.ext $ λ b, gnon_unital_non_assoc_semiring.add_mul _ _ _}
/-- The multiplication from the `has_mul` instance, as a bundled homomorphism. -/
def mul_hom : (⨁ i, A i) →+ (⨁ i, A i) →+ ⨁ i, A i :=
direct_sum.to_add_monoid $ λ i,
add_monoid_hom.flip $ direct_sum.to_add_monoid $ λ j, add_monoid_hom.flip $
(direct_sum.of A _).comp_hom.comp $ gmul_hom A
instance : non_unital_non_assoc_semiring (⨁ i, A i) :=
{ mul := λ a b, mul_hom A a b,
zero := 0,
add := (+),
zero_mul := λ a, by simp only [add_monoid_hom.map_zero, add_monoid_hom.zero_apply],
mul_zero := λ a, by simp only [add_monoid_hom.map_zero],
left_distrib := λ a b c, by simp only [add_monoid_hom.map_add],
right_distrib := λ a b c, by simp only [add_monoid_hom.map_add, add_monoid_hom.add_apply],
.. direct_sum.add_comm_monoid _ _}
variables {A}
lemma mul_hom_of_of {i j} (a : A i) (b : A j) :
mul_hom A (of _ i a) (of _ j b) = of _ (i + j) (graded_monoid.ghas_mul.mul a b) :=
begin
unfold mul_hom,
rw [to_add_monoid_of, flip_apply, to_add_monoid_of, flip_apply, coe_comp, function.comp_app,
comp_hom_apply_apply, coe_comp, function.comp_app, gmul_hom_apply_apply],
end
lemma of_mul_of {i j} (a : A i) (b : A j) :
of _ i a * of _ j b = of _ (i + j) (graded_monoid.ghas_mul.mul a b) :=
mul_hom_of_of a b
end mul
section semiring
variables [Π i, add_comm_monoid (A i)] [add_monoid ι] [gsemiring A]
open add_monoid_hom (flip_hom coe_comp comp_hom_apply_apply flip_apply flip_hom_apply)
private lemma one_mul (x : ⨁ i, A i) : 1 * x = x :=
suffices mul_hom A 1 = add_monoid_hom.id (⨁ i, A i),
from add_monoid_hom.congr_fun this x,
begin
apply add_hom_ext, intros i xi,
unfold has_one.one,
rw mul_hom_of_of,
exact of_eq_of_graded_monoid_eq (one_mul $ graded_monoid.mk i xi),
end
private lemma mul_one (x : ⨁ i, A i) : x * 1 = x :=
suffices (mul_hom A).flip 1 = add_monoid_hom.id (⨁ i, A i),
from add_monoid_hom.congr_fun this x,
begin
apply add_hom_ext, intros i xi,
unfold has_one.one,
rw [flip_apply, mul_hom_of_of],
exact of_eq_of_graded_monoid_eq (mul_one $ graded_monoid.mk i xi),
end
private lemma mul_assoc (a b c : ⨁ i, A i) : a * b * c = a * (b * c) :=
suffices (mul_hom A).comp_hom.comp (mul_hom A) -- `λ a b c, a * b * c` as a bundled hom
= (add_monoid_hom.comp_hom flip_hom $ -- `λ a b c, a * (b * c)` as a bundled hom
(mul_hom A).flip.comp_hom.comp (mul_hom A)).flip,
from add_monoid_hom.congr_fun (add_monoid_hom.congr_fun (add_monoid_hom.congr_fun this a) b) c,
begin
ext ai ax bi bx ci cx : 6,
dsimp only [coe_comp, function.comp_app, comp_hom_apply_apply, flip_apply, flip_hom_apply],
rw [mul_hom_of_of, mul_hom_of_of, mul_hom_of_of, mul_hom_of_of],
exact of_eq_of_graded_monoid_eq (mul_assoc (graded_monoid.mk ai ax) ⟨bi, bx⟩ ⟨ci, cx⟩),
end
/-- The `semiring` structure derived from `gsemiring A`. -/
instance semiring : semiring (⨁ i, A i) :=
{ one := 1,
mul := (*),
zero := 0,
add := (+),
one_mul := one_mul A,
mul_one := mul_one A,
mul_assoc := mul_assoc A,
nat_cast := λ n, of _ _ (gsemiring.nat_cast n),
nat_cast_zero := by rw [gsemiring.nat_cast_zero, map_zero],
nat_cast_succ := λ n, by { rw [gsemiring.nat_cast_succ, map_add], refl },
..direct_sum.non_unital_non_assoc_semiring _, }
lemma of_pow {i} (a : A i) (n : ℕ) :
of _ i a ^ n = of _ (n • i) (graded_monoid.gmonoid.gnpow _ a) :=
begin
induction n with n,
{ exact of_eq_of_graded_monoid_eq (pow_zero $ graded_monoid.mk _ a).symm, },
{ rw [pow_succ, n_ih, of_mul_of],
exact of_eq_of_graded_monoid_eq (pow_succ (graded_monoid.mk _ a) n).symm, },
end
lemma of_list_dprod {α} (l : list α) (fι : α → ι) (fA : Π a, A (fι a)) :
of A _ (l.dprod fι fA) = (l.map $ λ a, of A (fι a) (fA a)).prod :=
begin
induction l,
{ simp only [list.map_nil, list.prod_nil, list.dprod_nil],
refl },
{ simp only [list.map_cons, list.prod_cons, list.dprod_cons, ←l_ih, direct_sum.of_mul_of],
refl },
end
lemma list_prod_of_fn_of_eq_dprod (n : ℕ) (fι : fin n → ι) (fA : Π a, A (fι a)) :
(list.of_fn $ λ a, of A (fι a) (fA a)).prod = of A _ ((list.fin_range n).dprod fι fA) :=
by rw [list.of_fn_eq_map, of_list_dprod]
open_locale big_operators
/-- A heavily unfolded version of the definition of multiplication -/
lemma mul_eq_sum_support_ghas_mul
[Π (i : ι) (x : A i), decidable (x ≠ 0)] (a a' : ⨁ i, A i) :
a * a' =
∑ (ij : ι × ι) in (dfinsupp.support a).product (dfinsupp.support a'),
direct_sum.of _ _ (graded_monoid.ghas_mul.mul (a ij.fst) (a' ij.snd)) :=
begin
change direct_sum.mul_hom _ a a' = _,
dsimp [direct_sum.mul_hom, direct_sum.to_add_monoid, dfinsupp.lift_add_hom_apply],
simp only [dfinsupp.sum_add_hom_apply, dfinsupp.sum, dfinsupp.finset_sum_apply,
add_monoid_hom.coe_finset_sum, finset.sum_apply, add_monoid_hom.flip_apply,
add_monoid_hom.comp_hom_apply_apply, add_monoid_hom.comp_apply,
direct_sum.gmul_hom_apply_apply],
rw finset.sum_product,
end
end semiring
section comm_semiring
variables [Π i, add_comm_monoid (A i)] [add_comm_monoid ι] [gcomm_semiring A]
private lemma mul_comm (a b : ⨁ i, A i) : a * b = b * a :=
suffices mul_hom A = (mul_hom A).flip,
from add_monoid_hom.congr_fun (add_monoid_hom.congr_fun this a) b,
begin
apply add_hom_ext, intros ai ax, apply add_hom_ext, intros bi bx,
rw [add_monoid_hom.flip_apply, mul_hom_of_of, mul_hom_of_of],
exact of_eq_of_graded_monoid_eq (gcomm_semiring.mul_comm ⟨ai, ax⟩ ⟨bi, bx⟩),
end
/-- The `comm_semiring` structure derived from `gcomm_semiring A`. -/
instance comm_semiring : comm_semiring (⨁ i, A i) :=
{ one := 1,
mul := (*),
zero := 0,
add := (+),
mul_comm := mul_comm A,
..direct_sum.semiring _, }
end comm_semiring
section non_unital_non_assoc_ring
variables [Π i, add_comm_group (A i)] [has_add ι] [gnon_unital_non_assoc_semiring A]
/-- The `ring` derived from `gsemiring A`. -/
instance non_assoc_ring : non_unital_non_assoc_ring (⨁ i, A i) :=
{ mul := (*),
zero := 0,
add := (+),
neg := has_neg.neg,
..(direct_sum.non_unital_non_assoc_semiring _),
..(direct_sum.add_comm_group _), }
end non_unital_non_assoc_ring
section ring
variables [Π i, add_comm_group (A i)] [add_monoid ι] [gring A]
/-- The `ring` derived from `gsemiring A`. -/
instance ring : ring (⨁ i, A i) :=
{ one := 1,
mul := (*),
zero := 0,
add := (+),
neg := has_neg.neg,
int_cast := λ z, of _ _ (gring.int_cast z),
int_cast_of_nat := λ z, congr_arg _ $ gring.int_cast_of_nat _,
int_cast_neg_succ_of_nat := λ z,
(congr_arg _ $ gring.int_cast_neg_succ_of_nat _).trans (map_neg _ _),
..(direct_sum.semiring _),
..(direct_sum.add_comm_group _), }
end ring
section comm_ring
variables [Π i, add_comm_group (A i)] [add_comm_monoid ι] [gcomm_ring A]
/-- The `comm_ring` derived from `gcomm_semiring A`. -/
instance comm_ring : comm_ring (⨁ i, A i) :=
{ one := 1,
mul := (*),
zero := 0,
add := (+),
neg := has_neg.neg,
..(direct_sum.ring _),
..(direct_sum.comm_semiring _), }
end comm_ring
/-! ### 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
section one
variables [has_zero ι] [graded_monoid.ghas_one A] [Π i, add_comm_monoid (A i)]
@[simp] lemma of_zero_one : of _ 0 (1 : A 0) = 1 := rfl
end one
section mul
variables [add_zero_class ι] [Π i, add_comm_monoid (A i)] [gnon_unital_non_assoc_semiring A]
@[simp] lemma of_zero_smul {i} (a : A 0) (b : A i) : of _ _ (a • b) = of _ _ a * of _ _ b :=
(of_eq_of_graded_monoid_eq (graded_monoid.mk_zero_smul a b)).trans (of_mul_of _ _).symm
@[simp] lemma of_zero_mul (a b : A 0) : of _ 0 (a * b) = of _ 0 a * of _ 0 b:=
of_zero_smul A a b
instance grade_zero.non_unital_non_assoc_semiring : non_unital_non_assoc_semiring (A 0) :=
function.injective.non_unital_non_assoc_semiring (of A 0) dfinsupp.single_injective
(of A 0).map_zero (of A 0).map_add (of_zero_mul A) (λ x n, dfinsupp.single_smul n x)
instance grade_zero.smul_with_zero (i : ι) : smul_with_zero (A 0) (A i) :=
begin
letI := smul_with_zero.comp_hom (⨁ i, A i) (of A 0).to_zero_hom,
refine dfinsupp.single_injective.smul_with_zero (of A i).to_zero_hom (of_zero_smul A),
end
end mul
section semiring
variables [Π i, add_comm_monoid (A i)] [add_monoid ι] [gsemiring A]
@[simp] lemma of_zero_pow (a : A 0) : ∀ n : ℕ, of _ 0 (a ^ n) = of _ 0 a ^ n
| 0 := by rw [pow_zero, pow_zero, direct_sum.of_zero_one]
| (n + 1) := by rw [pow_succ, pow_succ, of_zero_mul, of_zero_pow]
instance : has_nat_cast (A 0) := ⟨gsemiring.nat_cast⟩
@[simp] lemma of_nat_cast (n : ℕ) : of A 0 n = n :=
rfl
/-- The `semiring` structure derived from `gsemiring A`. -/
instance grade_zero.semiring : semiring (A 0) :=
function.injective.semiring (of A 0) dfinsupp.single_injective
(of A 0).map_zero (of_zero_one A) (of A 0).map_add (of_zero_mul A)
(of A 0).map_nsmul (λ x n, of_zero_pow _ _ _) (of_nat_cast A)
/-- `of A 0` is a `ring_hom`, using the `direct_sum.grade_zero.semiring` structure. -/
def of_zero_ring_hom : A 0 →+* (⨁ i, A i) :=
{ map_one' := of_zero_one A, map_mul' := of_zero_mul A, ..(of _ 0) }
/-- Each grade `A i` derives a `A 0`-module structure from `gsemiring A`. Note that this results
in an overall `module (A 0) (⨁ i, A i)` structure via `direct_sum.module`.
-/
instance grade_zero.module {i} : module (A 0) (A i) :=
begin
letI := module.comp_hom (⨁ i, A i) (of_zero_ring_hom A),
exact dfinsupp.single_injective.module (A 0) (of A i) (λ a, of_zero_smul A a),
end
end semiring
section comm_semiring
variables [Π i, add_comm_monoid (A i)] [add_comm_monoid ι] [gcomm_semiring A]
/-- The `comm_semiring` structure derived from `gcomm_semiring A`. -/
instance grade_zero.comm_semiring : comm_semiring (A 0) :=
function.injective.comm_semiring (of A 0) dfinsupp.single_injective
(of A 0).map_zero (of_zero_one A) (of A 0).map_add (of_zero_mul A)
(λ x n, dfinsupp.single_smul n x) (λ x n, of_zero_pow _ _ _) (of_nat_cast A)
end comm_semiring
section ring
variables [Π i, add_comm_group (A i)] [add_zero_class ι] [gnon_unital_non_assoc_semiring A]
/-- The `non_unital_non_assoc_ring` derived from `gnon_unital_non_assoc_semiring A`. -/
instance grade_zero.non_unital_non_assoc_ring : non_unital_non_assoc_ring (A 0) :=
function.injective.non_unital_non_assoc_ring (of A 0) dfinsupp.single_injective
(of A 0).map_zero (of A 0).map_add (of_zero_mul A)
(of A 0).map_neg (of A 0).map_sub
(λ x n, begin
letI : Π i, distrib_mul_action ℕ (A i) := λ i, infer_instance,
exact dfinsupp.single_smul n x
end)
(λ x n, begin
letI : Π i, distrib_mul_action ℤ (A i) := λ i, infer_instance,
exact dfinsupp.single_smul n x
end)
end ring
section ring
variables [Π i, add_comm_group (A i)] [add_monoid ι] [gring A]
instance : has_int_cast (A 0) := ⟨gring.int_cast⟩
@[simp] lemma of_int_cast (n : ℤ) : of A 0 n = n :=
rfl
/-- The `ring` derived from `gsemiring A`. -/
instance grade_zero.ring : ring (A 0) :=
function.injective.ring (of A 0) dfinsupp.single_injective
(of A 0).map_zero (of_zero_one A) (of A 0).map_add (of_zero_mul A)
(of A 0).map_neg (of A 0).map_sub
(λ x n, begin
letI : Π i, distrib_mul_action ℕ (A i) := λ i, infer_instance,
exact dfinsupp.single_smul n x
end)
(λ x n, begin
letI : Π i, distrib_mul_action ℤ (A i) := λ i, infer_instance,
exact dfinsupp.single_smul n x
end) (λ x n, of_zero_pow _ _ _)
(of_nat_cast A) (of_int_cast A)
end ring
section comm_ring
variables [Π i, add_comm_group (A i)] [add_comm_monoid ι] [gcomm_ring A]
/-- The `comm_ring` derived from `gcomm_semiring A`. -/
instance grade_zero.comm_ring : comm_ring (A 0) :=
function.injective.comm_ring (of A 0) dfinsupp.single_injective
(of A 0).map_zero (of_zero_one A) (of A 0).map_add (of_zero_mul A)
(of A 0).map_neg (of A 0).map_sub
(λ x n, begin
letI : Π i, distrib_mul_action ℕ (A i) := λ i, infer_instance,
exact dfinsupp.single_smul n x
end)
(λ x n, begin
letI : Π i, distrib_mul_action ℤ (A i) := λ i, infer_instance,
exact dfinsupp.single_smul n x
end) (λ x n, of_zero_pow _ _ _)
(of_nat_cast A) (of_int_cast A)
end comm_ring
end grade_zero
section to_semiring
variables {R : Type*} [Π i, add_comm_monoid (A i)] [add_monoid ι] [gsemiring A] [semiring R]
variables {A}
/-- If two ring homomorphisms from `⨁ i, A i` are equal on each `of A i y`,
then they are equal.
See note [partially-applied ext lemmas]. -/
@[ext]
lemma ring_hom_ext' ⦃F G : (⨁ i, A i) →+* R⦄
(h : ∀ i, (↑F : _ →+ R).comp (of A i) = (↑G : _ →+ R).comp (of A i)) : F = G :=
ring_hom.coe_add_monoid_hom_injective $ direct_sum.add_hom_ext' h
/-- Two `ring_hom`s out of a direct sum are equal if they agree on the generators. -/
lemma ring_hom_ext ⦃f g : (⨁ i, A i) →+* R⦄ (h : ∀ i x, f (of A i x) = g (of A i x)) :
f = g :=
ring_hom_ext' $ λ i, add_monoid_hom.ext $ h i
/-- A family of `add_monoid_hom`s preserving `direct_sum.ghas_one.one` and `direct_sum.ghas_mul.mul`
describes a `ring_hom`s on `⨁ i, A i`. This is a stronger version of `direct_sum.to_monoid`.
Of particular interest is the case when `A i` are bundled subojects, `f` is the family of
coercions such as `add_submonoid.subtype (A i)`, and the `[gsemiring A]` structure originates from
`direct_sum.gsemiring.of_add_submonoids`, in which case the proofs about `ghas_one` and `ghas_mul`
can be discharged by `rfl`. -/
@[simps]
def to_semiring
(f : Π i, A i →+ R) (hone : f _ (graded_monoid.ghas_one.one) = 1)
(hmul : ∀ {i j} (ai : A i) (aj : A j), f _ (graded_monoid.ghas_mul.mul ai aj) = f _ ai * f _ aj) :
(⨁ i, A i) →+* R :=
{ to_fun := to_add_monoid f,
map_one' := begin
change (to_add_monoid f) (of _ 0 _) = 1,
rw to_add_monoid_of,
exact hone
end,
map_mul' := begin
rw (to_add_monoid f).map_mul_iff,
ext xi xv yi yv : 4,
show to_add_monoid f (of A xi xv * of A yi yv) =
to_add_monoid f (of A xi xv) * to_add_monoid f (of A yi yv),
rw [of_mul_of, to_add_monoid_of, to_add_monoid_of, to_add_monoid_of],
exact hmul _ _,
end,
.. to_add_monoid f}
@[simp] lemma to_semiring_of (f : Π i, A i →+ R) (hone hmul) (i : ι) (x : A i) :
to_semiring f hone hmul (of _ i x) = f _ x :=
to_add_monoid_of f i x
@[simp] lemma to_semiring_coe_add_monoid_hom (f : Π i, A i →+ R) (hone hmul):
(to_semiring f hone hmul : (⨁ i, A i) →+ R) = to_add_monoid f := rfl
/-- Families of `add_monoid_hom`s preserving `direct_sum.ghas_one.one` and `direct_sum.ghas_mul.mul`
are isomorphic to `ring_hom`s on `⨁ i, A i`. This is a stronger version of `dfinsupp.lift_add_hom`.
-/
@[simps]
def lift_ring_hom :
{f : Π {i}, A i →+ R //
f (graded_monoid.ghas_one.one) = 1 ∧
∀ {i j} (ai : A i) (aj : A j), f (graded_monoid.ghas_mul.mul ai aj) = f ai * f aj} ≃
((⨁ i, A i) →+* R) :=
{ to_fun := λ f, to_semiring f.1 f.2.1 f.2.2,
inv_fun := λ F,
⟨λ i, (F : (⨁ i, A i) →+ R).comp (of _ i), begin
simp only [add_monoid_hom.comp_apply, ring_hom.coe_add_monoid_hom],
rw ←F.map_one,
refl
end, λ i j ai aj, begin
simp only [add_monoid_hom.comp_apply, ring_hom.coe_add_monoid_hom],
rw [←F.map_mul, of_mul_of],
end⟩,
left_inv := λ f, begin
ext xi xv,
exact to_add_monoid_of f.1 xi xv,
end,
right_inv := λ F, begin
apply ring_hom.coe_add_monoid_hom_injective,
ext xi xv,
simp only [ring_hom.coe_add_monoid_hom_mk,
direct_sum.to_add_monoid_of,
add_monoid_hom.mk_coe,
add_monoid_hom.comp_apply, to_semiring_coe_add_monoid_hom],
end}
end to_semiring
end direct_sum
/-! ### Concrete instances -/
section uniform
variables (ι)
/-- A direct sum of copies of a `semiring` inherits the multiplication structure. -/
instance non_unital_non_assoc_semiring.direct_sum_gnon_unital_non_assoc_semiring
{R : Type*} [add_monoid ι] [non_unital_non_assoc_semiring R] :
direct_sum.gnon_unital_non_assoc_semiring (λ i : ι, R) :=
{ mul_zero := λ i j, mul_zero,
zero_mul := λ i j, zero_mul,
mul_add := λ i j, mul_add,
add_mul := λ i j, add_mul,
..has_mul.ghas_mul ι }
/-- A direct sum of copies of a `semiring` inherits the multiplication structure. -/
instance semiring.direct_sum_gsemiring {R : Type*} [add_monoid ι] [semiring R] :
direct_sum.gsemiring (λ i : ι, R) :=
{ nat_cast := λ n, n,
nat_cast_zero := nat.cast_zero,
nat_cast_succ := nat.cast_succ,
..non_unital_non_assoc_semiring.direct_sum_gnon_unital_non_assoc_semiring ι,
..monoid.gmonoid ι }
open_locale direct_sum
-- To check `has_mul.ghas_mul_mul` matches
example {R : Type*} [add_monoid ι] [semiring R] (i j : ι) (a b : R) :
(direct_sum.of _ i a * direct_sum.of _ j b : ⨁ i, R) = direct_sum.of _ (i + j) (by exact a * b) :=
by rw [direct_sum.of_mul_of, has_mul.ghas_mul_mul]
/-- A direct sum of copies of a `comm_semiring` inherits the commutative multiplication structure.
-/
instance comm_semiring.direct_sum_gcomm_semiring {R : Type*} [add_comm_monoid ι] [comm_semiring R] :
direct_sum.gcomm_semiring (λ i : ι, R) :=
{ ..comm_monoid.gcomm_monoid ι, ..semiring.direct_sum_gsemiring ι }
end uniform
|
9c4c1e2091275d14e311672ec3771f51fe8729a9 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/data/polynomial/cancel_leads.lean | a75bac5dacfabf57b30c3e2487c82fb7f6c3b602 | [
"Apache-2.0"
] | permissive | jcommelin/mathlib | d8456447c36c176e14d96d9e76f39841f69d2d9b | ee8279351a2e434c2852345c51b728d22af5a156 | refs/heads/master | 1,664,782,136,488 | 1,663,638,983,000 | 1,663,638,983,000 | 132,563,656 | 0 | 0 | Apache-2.0 | 1,663,599,929,000 | 1,525,760,539,000 | Lean | UTF-8 | Lean | false | false | 2,760 | lean | /-
Copyright (c) 2020 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import data.polynomial.degree.definitions
import tactic.compute_degree
/-!
# Cancel the leading terms of two polynomials
## Definition
* `cancel_leads p q`: the polynomial formed by multiplying `p` and `q` by monomials so that they
have the same leading term, and then subtracting.
## Main Results
The degree of `cancel_leads` is less than that of the larger of the two polynomials being cancelled.
Thus it is useful for induction or minimal-degree arguments.
-/
namespace polynomial
noncomputable theory
open_locale polynomial
variables {R : Type*}
section ring
variables [ring R] (p q : R[X])
/-- `cancel_leads p q` is formed by multiplying `p` and `q` by monomials so that they
have the same leading term, and then subtracting. -/
def cancel_leads : R[X] :=
C p.leading_coeff * X ^ (p.nat_degree - q.nat_degree) * q -
C q.leading_coeff * X ^ (q.nat_degree - p.nat_degree) * p
variables {p q}
@[simp] lemma neg_cancel_leads : - p.cancel_leads q = q.cancel_leads p := neg_sub _ _
lemma nat_degree_cancel_leads_lt_of_nat_degree_le_nat_degree_of_comm
(comm : p.leading_coeff * q.leading_coeff = q.leading_coeff * p.leading_coeff)
(h : p.nat_degree ≤ q.nat_degree) (hq : 0 < q.nat_degree) :
(p.cancel_leads q).nat_degree < q.nat_degree :=
begin
by_cases hp : p = 0,
{ convert hq,
simp [hp, cancel_leads], },
rw [cancel_leads, sub_eq_add_neg, tsub_eq_zero_iff_le.mpr h, pow_zero, mul_one],
by_cases h0 :
C p.leading_coeff * q + -(C q.leading_coeff * X ^ (q.nat_degree - p.nat_degree) * p) = 0,
{ exact (le_of_eq (by simp only [h0, nat_degree_zero])).trans_lt hq },
apply lt_of_le_of_ne,
{ compute_degree_le,
repeat { rwa nat.sub_add_cancel } },
{ contrapose! h0,
rw [← leading_coeff_eq_zero, leading_coeff, h0, mul_assoc, X_pow_mul,
← tsub_add_cancel_of_le h, add_comm _ p.nat_degree],
simp only [coeff_mul_X_pow, coeff_neg, coeff_C_mul, add_tsub_cancel_left, coeff_add],
rw [add_comm p.nat_degree, tsub_add_cancel_of_le h, ← leading_coeff, ← leading_coeff, comm,
add_right_neg] }
end
end ring
section comm_ring
variables [comm_ring R] {p q : R[X]}
lemma dvd_cancel_leads_of_dvd_of_dvd {r : R[X]} (pq : p ∣ q) (pr : p ∣ r) :
p ∣ q.cancel_leads r :=
dvd_sub (pr.trans (dvd.intro_left _ rfl)) (pq.trans (dvd.intro_left _ rfl))
lemma nat_degree_cancel_leads_lt_of_nat_degree_le_nat_degree
(h : p.nat_degree ≤ q.nat_degree) (hq : 0 < q.nat_degree) :
(p.cancel_leads q).nat_degree < q.nat_degree :=
nat_degree_cancel_leads_lt_of_nat_degree_le_nat_degree_of_comm (mul_comm _ _) h hq
end comm_ring
end polynomial
|
544531e61e89d6db6a25d158d7d6843208da3087 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /src/Lean/Compiler/LCNF/PullLetDecls.lean | b80174336c7c8ce41ddf124cc467b5197236c3da | [
"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 | 4,018 | lean | /-
Copyright (c) 2022 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.Compiler.LCNF.CompilerM
import Lean.Compiler.LCNF.DependsOn
import Lean.Compiler.LCNF.Types
import Lean.Compiler.LCNF.PassManager
namespace Lean.Compiler.LCNF
namespace PullLetDecls
structure Context where
isCandidateFn : LetDecl → FVarIdSet → CompilerM Bool
included : FVarIdSet := {}
structure State where
toPull : Array LetDecl := #[]
abbrev PullM := ReaderT Context $ StateRefT State CompilerM
@[inline] def withFVar (fvarId : FVarId) (x : PullM α) : PullM α :=
withReader (fun ctx => { ctx with included := ctx.included.insert fvarId }) x
@[inline] def withParams (ps : Array Param) (x : PullM α) : PullM α :=
withReader (fun ctx => { ctx with included := ps.foldl (init := ctx.included) fun s p => s.insert p.fvarId }) x
@[inline] def withNewScope (x : PullM α) : PullM α :=
withReader (fun ctx => { ctx with included := {} }) x
partial def withCheckpoint (x : PullM Code) : PullM Code := do
let toPullSizeSaved := (← get).toPull.size
let c ← withNewScope x
let toPull := (← get).toPull
let rec go (i : Nat) (included : FVarIdSet) : StateM (Array LetDecl) Code := do
if h : i < toPull.size then
let letDecl := toPull[i]
if letDecl.dependsOn included then
let c ← go (i+1) (included.insert letDecl.fvarId)
return .let letDecl c
else
modify (·.push letDecl)
go (i+1) included
else
return c
let (c, keep) := go toPullSizeSaved (← read).included |>.run #[]
modify fun s => { s with toPull := s.toPull.shrink toPullSizeSaved ++ keep }
return c
def attachToPull (c : Code) : PullM Code := do
let toPull := (← get).toPull
return toPull.foldr (init := c) fun decl c => .let decl c
def shouldPull (decl : LetDecl) : PullM Bool := do
unless decl.dependsOn (← read).included do
if (← (← read).isCandidateFn decl (← read).included) then
modify fun s => { s with toPull := s.toPull.push decl }
return true
return false
mutual
partial def pullAlt (alt : Alt) : PullM Alt :=
match alt with
| .default k => return alt.updateCode (← withNewScope <| pullDecls k)
| .alt _ params k => return alt.updateCode (← withNewScope <| withParams params <| pullDecls k)
partial def pullDecls (code : Code) : PullM Code := do
match code with
| .cases c =>
withCheckpoint do
let alts ← c.alts.mapMonoM pullAlt
return code.updateAlts! alts
| .let decl k =>
if (← shouldPull decl) then
pullDecls k
else
withFVar decl.fvarId do return code.updateCont! (← pullDecls k)
| .fun decl k | .jp decl k =>
withCheckpoint do
let value ← withParams decl.params <| pullDecls decl.value
let decl ← decl.updateValue value
withFVar decl.fvarId do return code.updateFun! decl (← pullDecls k)
| _ => return code
end
def PullM.run (x : PullM α) (isCandidateFn : LetDecl → FVarIdSet → CompilerM Bool) : CompilerM α :=
x { isCandidateFn } |>.run' {}
end PullLetDecls
open PullLetDecls
def Decl.pullLetDecls (decl : Decl) (isCandidateFn : LetDecl → FVarIdSet → CompilerM Bool) : CompilerM Decl := do
PullM.run (isCandidateFn := isCandidateFn) do
withParams decl.params do
let value ← pullDecls decl.value
let value ← attachToPull value
return { decl with value }
def Decl.pullInstances (decl : Decl) : CompilerM Decl :=
decl.pullLetDecls fun letDecl candidates => do
if (← isClass? letDecl.type).isSome then
return true
else if let .proj _ _ fvarId := letDecl.value then
return candidates.contains fvarId
else
return false
def pullInstances : Pass :=
.mkPerDeclaration `pullInstances Decl.pullInstances .base
builtin_initialize
registerTraceClass `Compiler.pullInstances (inherited := true)
end Lean.Compiler.LCNF
|
273b5c9dfb74b45b466ac932585cd69b6326346f | 4727251e0cd73359b15b664c3170e5d754078599 | /src/ring_theory/coprime/basic.lean | 2eb406bc1b075e6224fe60831c4d8412f5bf235b | [
"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 | 12,383 | lean | /-
Copyright (c) 2020 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Ken Lee, Chris Hughes
-/
import tactic.ring
import algebra.ring.basic
import group_theory.group_action.units
/-!
# Coprime elements of a ring
## Main definitions
* `is_coprime x y`: that `x` and `y` are coprime, defined to be the existence of `a` and `b` such
that `a * x + b * y = 1`. Note that elements with no common divisors are not necessarily coprime,
e.g., the multivariate polynomials `x₁` and `x₂` are not coprime.
See also `ring_theory.coprime.lemmas` for further development of coprime elements.
-/
open_locale classical
universes u v
section comm_semiring
variables {R : Type u} [comm_semiring R] (x y z : R)
/-- The proposition that `x` and `y` are coprime, defined to be the existence of `a` and `b` such
that `a * x + b * y = 1`. Note that elements with no common divisors are not necessarily coprime,
e.g., the multivariate polynomials `x₁` and `x₂` are not coprime. -/
@[simp] def is_coprime : Prop :=
∃ a b, a * x + b * y = 1
variables {x y z}
theorem is_coprime.symm (H : is_coprime x y) : is_coprime y x :=
let ⟨a, b, H⟩ := H in ⟨b, a, by rw [add_comm, H]⟩
theorem is_coprime_comm : is_coprime x y ↔ is_coprime y x :=
⟨is_coprime.symm, is_coprime.symm⟩
theorem is_coprime_self : is_coprime x x ↔ is_unit x :=
⟨λ ⟨a, b, h⟩, is_unit_of_mul_eq_one x (a + b) $ by rwa [mul_comm, add_mul],
λ h, let ⟨b, hb⟩ := is_unit_iff_exists_inv'.1 h in ⟨b, 0, by rwa [zero_mul, add_zero]⟩⟩
theorem is_coprime_zero_left : is_coprime 0 x ↔ is_unit x :=
⟨λ ⟨a, b, H⟩, is_unit_of_mul_eq_one x b $ by rwa [mul_zero, zero_add, mul_comm] at H,
λ H, let ⟨b, hb⟩ := is_unit_iff_exists_inv'.1 H in ⟨1, b, by rwa [one_mul, zero_add]⟩⟩
theorem is_coprime_zero_right : is_coprime x 0 ↔ is_unit x :=
is_coprime_comm.trans is_coprime_zero_left
lemma not_coprime_zero_zero [nontrivial R] : ¬ is_coprime (0 : R) 0 :=
mt is_coprime_zero_right.mp not_is_unit_zero
/-- If a 2-vector `p` satisfies `is_coprime (p 0) (p 1)`, then `p ≠ 0`. -/
lemma is_coprime.ne_zero [nontrivial R] {p : fin 2 → R} (h : is_coprime (p 0) (p 1)) : p ≠ 0 :=
by { rintro rfl, exact not_coprime_zero_zero h }
theorem is_coprime_one_left : is_coprime 1 x :=
⟨1, 0, by rw [one_mul, zero_mul, add_zero]⟩
theorem is_coprime_one_right : is_coprime x 1 :=
⟨0, 1, by rw [one_mul, zero_mul, zero_add]⟩
theorem is_coprime.dvd_of_dvd_mul_right (H1 : is_coprime x z) (H2 : x ∣ y * z) : x ∣ y :=
let ⟨a, b, H⟩ := H1 in by { rw [← mul_one y, ← H, mul_add, ← mul_assoc, mul_left_comm],
exact dvd_add (dvd_mul_left _ _) (H2.mul_left _) }
theorem is_coprime.dvd_of_dvd_mul_left (H1 : is_coprime x y) (H2 : x ∣ y * z) : x ∣ z :=
let ⟨a, b, H⟩ := H1 in by { rw [← one_mul z, ← H, add_mul, mul_right_comm, mul_assoc b],
exact dvd_add (dvd_mul_left _ _) (H2.mul_left _) }
theorem is_coprime.mul_left (H1 : is_coprime x z) (H2 : is_coprime y z) : is_coprime (x * y) z :=
let ⟨a, b, h1⟩ := H1, ⟨c, d, h2⟩ := H2 in
⟨a * c, a * x * d + b * c * y + b * d * z,
calc a * c * (x * y) + (a * x * d + b * c * y + b * d * z) * z
= (a * x + b * z) * (c * y + d * z) : by ring
... = 1 : by rw [h1, h2, mul_one]⟩
theorem is_coprime.mul_right (H1 : is_coprime x y) (H2 : is_coprime x z) : is_coprime x (y * z) :=
by { rw is_coprime_comm at H1 H2 ⊢, exact H1.mul_left H2 }
theorem is_coprime.mul_dvd (H : is_coprime x y) (H1 : x ∣ z) (H2 : y ∣ z) : x * y ∣ z :=
begin
obtain ⟨a, b, h⟩ := H,
rw [← mul_one z, ← h, mul_add],
apply dvd_add,
{ rw [mul_comm z, mul_assoc],
exact (mul_dvd_mul_left _ H2).mul_left _ },
{ rw [mul_comm b, ← mul_assoc],
exact (mul_dvd_mul_right H1 _).mul_right _ }
end
theorem is_coprime.of_mul_left_left (H : is_coprime (x * y) z) : is_coprime x z :=
let ⟨a, b, h⟩ := H in ⟨a * y, b, by rwa [mul_right_comm, mul_assoc]⟩
theorem is_coprime.of_mul_left_right (H : is_coprime (x * y) z) : is_coprime y z :=
by { rw mul_comm at H, exact H.of_mul_left_left }
theorem is_coprime.of_mul_right_left (H : is_coprime x (y * z)) : is_coprime x y :=
by { rw is_coprime_comm at H ⊢, exact H.of_mul_left_left }
theorem is_coprime.of_mul_right_right (H : is_coprime x (y * z)) : is_coprime x z :=
by { rw mul_comm at H, exact H.of_mul_right_left }
theorem is_coprime.mul_left_iff : is_coprime (x * y) z ↔ is_coprime x z ∧ is_coprime y z :=
⟨λ H, ⟨H.of_mul_left_left, H.of_mul_left_right⟩, λ ⟨H1, H2⟩, H1.mul_left H2⟩
theorem is_coprime.mul_right_iff : is_coprime x (y * z) ↔ is_coprime x y ∧ is_coprime x z :=
by rw [is_coprime_comm, is_coprime.mul_left_iff, is_coprime_comm, @is_coprime_comm _ _ z]
theorem is_coprime.of_coprime_of_dvd_left (h : is_coprime y z) (hdvd : x ∣ y) : is_coprime x z :=
begin
obtain ⟨d, rfl⟩ := hdvd,
exact is_coprime.of_mul_left_left h
end
theorem is_coprime.of_coprime_of_dvd_right (h : is_coprime z y) (hdvd : x ∣ y) : is_coprime z x :=
(h.symm.of_coprime_of_dvd_left hdvd).symm
theorem is_coprime.is_unit_of_dvd (H : is_coprime x y) (d : x ∣ y) : is_unit x :=
let ⟨k, hk⟩ := d in is_coprime_self.1 $ is_coprime.of_mul_right_left $
show is_coprime x (x * k), from hk ▸ H
theorem is_coprime.is_unit_of_dvd' {a b x : R} (h : is_coprime a b) (ha : x ∣ a) (hb : x ∣ b) :
is_unit x :=
(h.of_coprime_of_dvd_left ha).is_unit_of_dvd hb
theorem is_coprime.map (H : is_coprime x y) {S : Type v} [comm_semiring S] (f : R →+* S) :
is_coprime (f x) (f y) :=
let ⟨a, b, h⟩ := H in ⟨f a, f b, by rw [← f.map_mul, ← f.map_mul, ← f.map_add, h, f.map_one]⟩
variables {x y z}
lemma is_coprime.of_add_mul_left_left (h : is_coprime (x + y * z) y) : is_coprime x y :=
let ⟨a, b, H⟩ := h in ⟨a, a * z + b, by simpa only [add_mul, mul_add,
add_assoc, add_comm, add_left_comm, mul_assoc, mul_comm, mul_left_comm] using H⟩
lemma is_coprime.of_add_mul_right_left (h : is_coprime (x + z * y) y) : is_coprime x y :=
by { rw mul_comm at h, exact h.of_add_mul_left_left }
lemma is_coprime.of_add_mul_left_right (h : is_coprime x (y + x * z)) : is_coprime x y :=
by { rw is_coprime_comm at h ⊢, exact h.of_add_mul_left_left }
lemma is_coprime.of_add_mul_right_right (h : is_coprime x (y + z * x)) : is_coprime x y :=
by { rw mul_comm at h, exact h.of_add_mul_left_right }
lemma is_coprime.of_mul_add_left_left (h : is_coprime (y * z + x) y) : is_coprime x y :=
by { rw add_comm at h, exact h.of_add_mul_left_left }
lemma is_coprime.of_mul_add_right_left (h : is_coprime (z * y + x) y) : is_coprime x y :=
by { rw add_comm at h, exact h.of_add_mul_right_left }
lemma is_coprime.of_mul_add_left_right (h : is_coprime x (x * z + y)) : is_coprime x y :=
by { rw add_comm at h, exact h.of_add_mul_left_right }
lemma is_coprime.of_mul_add_right_right (h : is_coprime x (z * x + y)) : is_coprime x y :=
by { rw add_comm at h, exact h.of_add_mul_right_right }
end comm_semiring
section scalar_tower
variables {R G : Type*} [comm_semiring R] [group G] [mul_action G R] [smul_comm_class G R R]
[is_scalar_tower G R R] (x : G) (y z : R)
lemma is_coprime_group_smul_left : is_coprime (x • y) z ↔ is_coprime y z :=
⟨λ ⟨a, b, h⟩, ⟨x • a, b, by rwa [smul_mul_assoc, ←mul_smul_comm]⟩,
λ ⟨a, b, h⟩, ⟨x⁻¹ • a, b, by rwa [smul_mul_smul, inv_mul_self, one_smul]⟩⟩
lemma is_coprime_group_smul_right : is_coprime y (x • z) ↔ is_coprime y z :=
is_coprime_comm.trans $ (is_coprime_group_smul_left x z y).trans is_coprime_comm
lemma is_coprime_group_smul : is_coprime (x • y) (x • z) ↔ is_coprime y z :=
(is_coprime_group_smul_left x y (x • z)).trans (is_coprime_group_smul_right x y z)
end scalar_tower
section comm_semiring_unit
variables {R : Type*} [comm_semiring R] {x : R} (hu : is_unit x) (y z : R)
lemma is_coprime_mul_unit_left_left : is_coprime (x * y) z ↔ is_coprime y z :=
let ⟨u, hu⟩ := hu in hu ▸ is_coprime_group_smul_left u y z
lemma is_coprime_mul_unit_left_right : is_coprime y (x * z) ↔ is_coprime y z :=
let ⟨u, hu⟩ := hu in hu ▸ is_coprime_group_smul_right u y z
lemma is_coprime_mul_unit_left : is_coprime (x * y) (x * z) ↔ is_coprime y z :=
(is_coprime_mul_unit_left_left hu y (x * z)).trans (is_coprime_mul_unit_left_right hu y z)
lemma is_coprime_mul_unit_right_left : is_coprime (y * x) z ↔ is_coprime y z :=
mul_comm x y ▸ is_coprime_mul_unit_left_left hu y z
lemma is_coprime_mul_unit_right_right : is_coprime y (z * x) ↔ is_coprime y z :=
mul_comm x z ▸ is_coprime_mul_unit_left_right hu y z
lemma is_coprime_mul_unit_right : is_coprime (y * x) (z * x) ↔ is_coprime y z :=
(is_coprime_mul_unit_right_left hu y (z * x)).trans (is_coprime_mul_unit_right_right hu y z)
end comm_semiring_unit
namespace is_coprime
section comm_ring
variables {R : Type u} [comm_ring R]
lemma add_mul_left_left {x y : R} (h : is_coprime x y) (z : R) : is_coprime (x + y * z) y :=
@of_add_mul_left_left R _ _ _ (-z) $
by simpa only [mul_neg, add_neg_cancel_right] using h
lemma add_mul_right_left {x y : R} (h : is_coprime x y) (z : R) : is_coprime (x + z * y) y :=
by { rw mul_comm, exact h.add_mul_left_left z }
lemma add_mul_left_right {x y : R} (h : is_coprime x y) (z : R) : is_coprime x (y + x * z) :=
by { rw is_coprime_comm, exact h.symm.add_mul_left_left z }
lemma add_mul_right_right {x y : R} (h : is_coprime x y) (z : R) : is_coprime x (y + z * x) :=
by { rw is_coprime_comm, exact h.symm.add_mul_right_left z }
lemma mul_add_left_left {x y : R} (h : is_coprime x y) (z : R) : is_coprime (y * z + x) y :=
by { rw add_comm, exact h.add_mul_left_left z }
lemma mul_add_right_left {x y : R} (h : is_coprime x y) (z : R) : is_coprime (z * y + x) y :=
by { rw add_comm, exact h.add_mul_right_left z }
lemma mul_add_left_right {x y : R} (h : is_coprime x y) (z : R) : is_coprime x (x * z + y) :=
by { rw add_comm, exact h.add_mul_left_right z }
lemma mul_add_right_right {x y : R} (h : is_coprime x y) (z : R) : is_coprime x (z * x + y) :=
by { rw add_comm, exact h.add_mul_right_right z }
lemma add_mul_left_left_iff {x y z : R} : is_coprime (x + y * z) y ↔ is_coprime x y :=
⟨of_add_mul_left_left, λ h, h.add_mul_left_left z⟩
lemma add_mul_right_left_iff {x y z : R} : is_coprime (x + z * y) y ↔ is_coprime x y :=
⟨of_add_mul_right_left, λ h, h.add_mul_right_left z⟩
lemma add_mul_left_right_iff {x y z : R} : is_coprime x (y + x * z) ↔ is_coprime x y :=
⟨of_add_mul_left_right, λ h, h.add_mul_left_right z⟩
lemma add_mul_right_right_iff {x y z : R} : is_coprime x (y + z * x) ↔ is_coprime x y :=
⟨of_add_mul_right_right, λ h, h.add_mul_right_right z⟩
lemma mul_add_left_left_iff {x y z : R} : is_coprime (y * z + x) y ↔ is_coprime x y :=
⟨of_mul_add_left_left, λ h, h.mul_add_left_left z⟩
lemma mul_add_right_left_iff {x y z : R} : is_coprime (z * y + x) y ↔ is_coprime x y :=
⟨of_mul_add_right_left, λ h, h.mul_add_right_left z⟩
lemma mul_add_left_right_iff {x y z : R} : is_coprime x (x * z + y) ↔ is_coprime x y :=
⟨of_mul_add_left_right, λ h, h.mul_add_left_right z⟩
lemma mul_add_right_right_iff {x y z : R} : is_coprime x (z * x + y) ↔ is_coprime x y :=
⟨of_mul_add_right_right, λ h, h.mul_add_right_right z⟩
lemma neg_left {x y : R} (h : is_coprime x y) : is_coprime (-x) y :=
begin
obtain ⟨a, b, h⟩ := h,
use [-a, b],
rwa neg_mul_neg,
end
lemma neg_left_iff (x y : R) : is_coprime (-x) y ↔ is_coprime x y :=
⟨λ h, neg_neg x ▸ h.neg_left, neg_left⟩
lemma neg_right {x y : R} (h : is_coprime x y) : is_coprime x (-y) :=
h.symm.neg_left.symm
lemma neg_right_iff (x y : R) : is_coprime x (-y) ↔ is_coprime x y :=
⟨λ h, neg_neg y ▸ h.neg_right, neg_right⟩
lemma neg_neg {x y : R} (h : is_coprime x y) : is_coprime (-x) (-y) :=
h.neg_left.neg_right
lemma neg_neg_iff (x y : R) : is_coprime (-x) (-y) ↔ is_coprime x y :=
(neg_left_iff _ _).trans (neg_right_iff _ _)
end comm_ring
lemma sq_add_sq_ne_zero {R : Type*} [linear_ordered_comm_ring R] {a b : R} (h : is_coprime a b) :
a ^ 2 + b ^ 2 ≠ 0 :=
begin
intros h',
obtain ⟨ha, hb⟩ := (add_eq_zero_iff' (sq_nonneg a) (sq_nonneg b)).mp h',
obtain rfl := pow_eq_zero ha,
obtain rfl := pow_eq_zero hb,
exact not_coprime_zero_zero h
end
end is_coprime
|
1d9f1c989ad0851a053c6878c013c5cda7491011 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/algebra/order/archimedean.lean | bf4cdcc97a2ec37f7e075330549c15f19216ca6a | [
"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 | 14,543 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import data.int.least_greatest
import data.rat.floor
/-!
# Archimedean groups and fields.
This file defines the archimedean property for ordered groups and proves several results connected
to this notion. Being archimedean means that for all elements `x` and `y>0` there exists a natural
number `n` such that `x ≤ n • y`.
## Main definitions
* `archimedean` is a typeclass for an ordered additive commutative monoid to have the archimedean
property.
* `archimedean.floor_ring` defines a floor function on an archimedean linearly ordered ring making
it into a `floor_ring`.
## Main statements
* `ℕ`, `ℤ`, and `ℚ` are archimedean.
-/
open int set
variables {α : Type*}
/-- An ordered additive commutative monoid is called `archimedean` if for any two elements `x`, `y`
such that `0 < y` there exists a natural number `n` such that `x ≤ n • y`. -/
class archimedean (α) [ordered_add_comm_monoid α] : Prop :=
(arch : ∀ (x : α) {y}, 0 < y → ∃ n : ℕ, x ≤ n • y)
instance order_dual.archimedean [ordered_add_comm_group α] [archimedean α] : archimedean αᵒᵈ :=
⟨λ x y hy, let ⟨n, hn⟩ := archimedean.arch (-x : α) (neg_pos.2 hy) in
⟨n, by rwa [neg_nsmul, neg_le_neg_iff] at hn⟩⟩
section linear_ordered_add_comm_group
variables [linear_ordered_add_comm_group α] [archimedean α]
/-- An archimedean decidable linearly ordered `add_comm_group` has a version of the floor: for
`a > 0`, any `g` in the group lies between some two consecutive multiples of `a`. -/
lemma exists_unique_zsmul_near_of_pos {a : α} (ha : 0 < a) (g : α) :
∃! k : ℤ, k • a ≤ g ∧ g < (k + 1) • a :=
begin
let s : set ℤ := {n : ℤ | n • a ≤ g},
obtain ⟨k, hk : -g ≤ k • a⟩ := archimedean.arch (-g) ha,
have h_ne : s.nonempty := ⟨-k, by simpa using neg_le_neg hk⟩,
obtain ⟨k, hk⟩ := archimedean.arch g ha,
have h_bdd : ∀ n ∈ s, n ≤ (k : ℤ),
{ assume n hn,
apply (zsmul_le_zsmul_iff ha).mp,
rw ← coe_nat_zsmul at hk,
exact le_trans hn hk },
obtain ⟨m, hm, hm'⟩ := int.exists_greatest_of_bdd ⟨k, h_bdd⟩ h_ne,
have hm'' : g < (m + 1) • a,
{ contrapose! hm', exact ⟨m + 1, hm', lt_add_one _⟩, },
refine ⟨m, ⟨hm, hm''⟩, λ n hn, (hm' n hn.1).antisymm $ int.le_of_lt_add_one _⟩,
rw ← zsmul_lt_zsmul_iff ha,
exact lt_of_le_of_lt hm hn.2
end
lemma exists_unique_zsmul_near_of_pos' {a : α} (ha : 0 < a) (g : α) :
∃! k : ℤ, 0 ≤ g - k • a ∧ g - k • a < a :=
by simpa only [sub_nonneg, add_zsmul, one_zsmul, sub_lt_iff_lt_add']
using exists_unique_zsmul_near_of_pos ha g
lemma exists_unique_add_zsmul_mem_Ico {a : α} (ha : 0 < a) (b c : α) :
∃! m : ℤ, b + m • a ∈ set.Ico c (c + a) :=
(equiv.neg ℤ).bijective.exists_unique_iff.2 $
by simpa only [equiv.neg_apply, mem_Ico, neg_zsmul, ← sub_eq_add_neg, le_sub_iff_add_le, zero_add,
add_comm c, sub_lt_iff_lt_add', add_assoc] using exists_unique_zsmul_near_of_pos' ha (b - c)
lemma exists_unique_add_zsmul_mem_Ioc {a : α} (ha : 0 < a) (b c : α) :
∃! m : ℤ, b + m • a ∈ set.Ioc c (c + a) :=
(equiv.add_right (1 : ℤ)).bijective.exists_unique_iff.2 $
by simpa only [add_zsmul, sub_lt_iff_lt_add', le_sub_iff_add_le', ← add_assoc, and.comm, mem_Ioc,
equiv.coe_add_right, one_zsmul, add_le_add_iff_right]
using exists_unique_zsmul_near_of_pos ha (c - b)
end linear_ordered_add_comm_group
theorem exists_nat_gt [strict_ordered_semiring α] [archimedean α] (x : α) : ∃ n : ℕ, x < n :=
let ⟨n, h⟩ := archimedean.arch x zero_lt_one in
⟨n+1, lt_of_le_of_lt (by rwa ← nsmul_one)
(nat.cast_lt.2 (nat.lt_succ_self _))⟩
theorem exists_nat_ge [strict_ordered_semiring α] [archimedean α] (x : α) :
∃ n : ℕ, x ≤ n :=
begin
nontriviality α,
exact (exists_nat_gt x).imp (λ n, le_of_lt)
end
lemma add_one_pow_unbounded_of_pos [strict_ordered_semiring α] [archimedean α] (x : α) {y : α}
(hy : 0 < y) :
∃ n : ℕ, x < (y + 1) ^ n :=
have 0 ≤ 1 + y, from add_nonneg zero_le_one hy.le,
let ⟨n, h⟩ := archimedean.arch x hy in
⟨n, calc x ≤ n • y : h
... = n * y : nsmul_eq_mul _ _
... < 1 + n * y : lt_one_add _
... ≤ (1 + y) ^ n : one_add_mul_le_pow' (mul_nonneg hy.le hy.le) (mul_nonneg this this)
(add_nonneg zero_le_two hy.le) _
... = (y + 1) ^ n : by rw [add_comm]⟩
section strict_ordered_ring
variables [strict_ordered_ring α] [archimedean α]
lemma pow_unbounded_of_one_lt (x : α) {y : α} (hy1 : 1 < y) :
∃ n : ℕ, x < y ^ n :=
sub_add_cancel y 1 ▸ add_one_pow_unbounded_of_pos _ (sub_pos.2 hy1)
theorem exists_int_gt (x : α) : ∃ n : ℤ, x < n :=
let ⟨n, h⟩ := exists_nat_gt x in ⟨n, by rwa int.cast_coe_nat⟩
theorem exists_int_lt (x : α) : ∃ n : ℤ, (n : α) < x :=
let ⟨n, h⟩ := exists_int_gt (-x) in ⟨-n, by rw int.cast_neg; exact neg_lt.1 h⟩
theorem exists_floor (x : α) :
∃ (fl : ℤ), ∀ (z : ℤ), z ≤ fl ↔ (z : α) ≤ x :=
begin
haveI := classical.prop_decidable,
have : ∃ (ub : ℤ), (ub:α) ≤ x ∧ ∀ (z : ℤ), (z:α) ≤ x → z ≤ ub :=
int.exists_greatest_of_bdd
(let ⟨n, hn⟩ := exists_int_gt x in ⟨n, λ z h',
int.cast_le.1 $ le_trans h' $ le_of_lt hn⟩)
(let ⟨n, hn⟩ := exists_int_lt x in ⟨n, le_of_lt hn⟩),
refine this.imp (λ fl h z, _),
cases h with h₁ h₂,
exact ⟨λ h, le_trans (int.cast_le.2 h) h₁, h₂ z⟩,
end
end strict_ordered_ring
section linear_ordered_ring
variables [linear_ordered_ring α] [archimedean α]
/-- Every x greater than or equal to 1 is between two successive
natural-number powers of every y greater than one. -/
lemma exists_nat_pow_near {x : α} {y : α} (hx : 1 ≤ x) (hy : 1 < y) :
∃ n : ℕ, y ^ n ≤ x ∧ x < y ^ (n + 1) :=
have h : ∃ n : ℕ, x < y ^ n, from pow_unbounded_of_one_lt _ hy,
by classical; exact let n := nat.find h in
have hn : x < y ^ n, from nat.find_spec h,
have hnp : 0 < n, from pos_iff_ne_zero.2 (λ hn0,
by rw [hn0, pow_zero] at hn; exact (not_le_of_gt hn hx)),
have hnsp : nat.pred n + 1 = n, from nat.succ_pred_eq_of_pos hnp,
have hltn : nat.pred n < n, from nat.pred_lt (ne_of_gt hnp),
⟨nat.pred n, le_of_not_lt (nat.find_min h hltn), by rwa hnsp⟩
end linear_ordered_ring
section linear_ordered_field
variables [linear_ordered_field α] [archimedean α] {x y ε : α}
/-- Every positive `x` is between two successive integer powers of
another `y` greater than one. This is the same as `exists_mem_Ioc_zpow`,
but with ≤ and < the other way around. -/
lemma exists_mem_Ico_zpow (hx : 0 < x) (hy : 1 < y) : ∃ n : ℤ, x ∈ Ico (y ^ n) (y ^ (n + 1)) :=
by classical; exact
let ⟨N, hN⟩ := pow_unbounded_of_one_lt x⁻¹ hy in
have he: ∃ m : ℤ, y ^ m ≤ x, from
⟨-N, le_of_lt (by { rw [zpow_neg y (↑N), zpow_coe_nat],
exact (inv_lt hx (lt_trans (inv_pos.2 hx) hN)).1 hN })⟩,
let ⟨M, hM⟩ := pow_unbounded_of_one_lt x hy in
have hb: ∃ b : ℤ, ∀ m, y ^ m ≤ x → m ≤ b, from
⟨M, λ m hm, le_of_not_lt (λ hlt, not_lt_of_ge
(zpow_le_of_le hy.le hlt.le)
(lt_of_le_of_lt hm (by rwa ← zpow_coe_nat at hM)))⟩,
let ⟨n, hn₁, hn₂⟩ := int.exists_greatest_of_bdd hb he in
⟨n, hn₁, lt_of_not_ge (λ hge, not_le_of_gt (int.lt_succ _) (hn₂ _ hge))⟩
/-- Every positive `x` is between two successive integer powers of
another `y` greater than one. This is the same as `exists_mem_Ico_zpow`,
but with ≤ and < the other way around. -/
lemma exists_mem_Ioc_zpow (hx : 0 < x) (hy : 1 < y) : ∃ n : ℤ, x ∈ Ioc (y ^ n) (y ^ (n + 1)) :=
let ⟨m, hle, hlt⟩ := exists_mem_Ico_zpow (inv_pos.2 hx) hy in
have hyp : 0 < y, from lt_trans zero_lt_one hy,
⟨-(m+1),
by rwa [zpow_neg, inv_lt (zpow_pos_of_pos hyp _) hx],
by rwa [neg_add, neg_add_cancel_right, zpow_neg,
le_inv hx (zpow_pos_of_pos hyp _)]⟩
/-- For any `y < 1` and any positive `x`, there exists `n : ℕ` with `y ^ n < x`. -/
lemma exists_pow_lt_of_lt_one (hx : 0 < x) (hy : y < 1) : ∃ n : ℕ, y ^ n < x :=
begin
by_cases y_pos : y ≤ 0,
{ use 1, simp only [pow_one], linarith, },
rw [not_le] at y_pos,
rcases pow_unbounded_of_one_lt (x⁻¹) (one_lt_inv y_pos hy) with ⟨q, hq⟩,
exact ⟨q, by rwa [inv_pow, inv_lt_inv hx (pow_pos y_pos _)] at hq⟩
end
/-- Given `x` and `y` between `0` and `1`, `x` is between two successive powers of `y`.
This is the same as `exists_nat_pow_near`, but for elements between `0` and `1` -/
lemma exists_nat_pow_near_of_lt_one (xpos : 0 < x) (hx : x ≤ 1) (ypos : 0 < y) (hy : y < 1) :
∃ n : ℕ, y ^ (n + 1) < x ∧ x ≤ y ^ n :=
begin
rcases exists_nat_pow_near (one_le_inv_iff.2 ⟨xpos, hx⟩) (one_lt_inv_iff.2 ⟨ypos, hy⟩)
with ⟨n, hn, h'n⟩,
refine ⟨n, _, _⟩,
{ rwa [inv_pow, inv_lt_inv xpos (pow_pos ypos _)] at h'n },
{ rwa [inv_pow, inv_le_inv (pow_pos ypos _) xpos] at hn }
end
lemma exists_rat_gt (x : α) : ∃ q : ℚ, x < q :=
let ⟨n, h⟩ := exists_nat_gt x in ⟨n, by rwa rat.cast_coe_nat⟩
theorem exists_rat_lt (x : α) : ∃ q : ℚ, (q : α) < x :=
let ⟨n, h⟩ := exists_int_lt x in ⟨n, by rwa rat.cast_coe_int⟩
theorem exists_rat_btwn {x y : α} (h : x < y) : ∃ q : ℚ, x < q ∧ (q:α) < y :=
begin
cases exists_nat_gt (y - x)⁻¹ with n nh,
cases exists_floor (x * n) with z zh,
refine ⟨(z + 1 : ℤ) / n, _⟩,
have n0' := (inv_pos.2 (sub_pos.2 h)).trans nh,
have n0 := nat.cast_pos.1 n0',
rw [rat.cast_div_of_ne_zero, rat.cast_coe_nat, rat.cast_coe_int, div_lt_iff n0'],
refine ⟨(lt_div_iff n0').2 $
(lt_iff_lt_of_le_iff_le (zh _)).1 (lt_add_one _), _⟩,
rw [int.cast_add, int.cast_one],
refine lt_of_le_of_lt (add_le_add_right ((zh _).1 le_rfl) _) _,
rwa [← lt_sub_iff_add_lt', ← sub_mul,
← div_lt_iff' (sub_pos.2 h), one_div],
{ rw [rat.coe_int_denom, nat.cast_one], exact one_ne_zero },
{ intro H, rw [rat.coe_nat_num, int.cast_coe_nat, nat.cast_eq_zero] at H, subst H, cases n0 },
{ rw [rat.coe_nat_denom, nat.cast_one], exact one_ne_zero }
end
lemma le_of_forall_rat_lt_imp_le (h : ∀ q : ℚ, (q : α) < x → (q : α) ≤ y) : x ≤ y :=
le_of_not_lt $ λ hyx, let ⟨q, hy, hx⟩ := exists_rat_btwn hyx in hy.not_le $ h _ hx
lemma le_of_forall_lt_rat_imp_le (h : ∀ q : ℚ, y < q → x ≤ q) : x ≤ y :=
le_of_not_lt $ λ hyx, let ⟨q, hy, hx⟩ := exists_rat_btwn hyx in hx.not_le $ h _ hy
lemma eq_of_forall_rat_lt_iff_lt (h : ∀ q : ℚ, (q : α) < x ↔ (q : α) < y) : x = y :=
(le_of_forall_rat_lt_imp_le $ λ q hq, ((h q).1 hq).le).antisymm $ le_of_forall_rat_lt_imp_le $
λ q hq, ((h q).2 hq).le
lemma eq_of_forall_lt_rat_iff_lt (h : ∀ q : ℚ, x < q ↔ y < q) : x = y :=
(le_of_forall_lt_rat_imp_le $ λ q hq, ((h q).2 hq).le).antisymm $ le_of_forall_lt_rat_imp_le $
λ q hq, ((h q).1 hq).le
theorem exists_nat_one_div_lt {ε : α} (hε : 0 < ε) : ∃ n : ℕ, 1 / (n + 1: α) < ε :=
begin
cases exists_nat_gt (1/ε) with n hn,
use n,
rw [div_lt_iff, ← div_lt_iff' hε],
{ apply hn.trans,
simp [zero_lt_one] },
{ exact n.cast_add_one_pos }
end
theorem exists_pos_rat_lt {x : α} (x0 : 0 < x) : ∃ q : ℚ, 0 < q ∧ (q : α) < x :=
by simpa only [rat.cast_pos] using exists_rat_btwn x0
lemma exists_rat_near (x : α) (ε0 : 0 < ε) : ∃ q : ℚ, |x - q| < ε :=
let ⟨q, h₁, h₂⟩ := exists_rat_btwn $ ((sub_lt_self_iff x).2 ε0).trans ((lt_add_iff_pos_left x).2 ε0)
in ⟨q, abs_sub_lt_iff.2 ⟨sub_lt_comm.1 h₁, sub_lt_iff_lt_add.2 h₂⟩⟩
end linear_ordered_field
section linear_ordered_field
variables [linear_ordered_field α]
lemma archimedean_iff_nat_lt : archimedean α ↔ ∀ x : α, ∃ n : ℕ, x < n :=
⟨@exists_nat_gt α _, λ H, ⟨λ x y y0,
(H (x / y)).imp $ λ n h, le_of_lt $
by rwa [div_lt_iff y0, ← nsmul_eq_mul] at h⟩⟩
lemma archimedean_iff_nat_le : archimedean α ↔ ∀ x : α, ∃ n : ℕ, x ≤ n :=
archimedean_iff_nat_lt.trans
⟨λ H x, (H x).imp $ λ _, le_of_lt,
λ H x, let ⟨n, h⟩ := H x in ⟨n+1,
lt_of_le_of_lt h (nat.cast_lt.2 (lt_add_one _))⟩⟩
lemma archimedean_iff_int_lt : archimedean α ↔ ∀ x : α, ∃ n : ℤ, x < n :=
⟨@exists_int_gt α _,
begin
rw archimedean_iff_nat_lt,
intros h x,
obtain ⟨n, h⟩ := h x,
refine ⟨n.to_nat, h.trans_le _⟩,
exact_mod_cast int.le_to_nat _,
end⟩
lemma archimedean_iff_int_le : archimedean α ↔ ∀ x : α, ∃ n : ℤ, x ≤ n :=
archimedean_iff_int_lt.trans
⟨λ H x, (H x).imp $ λ _, le_of_lt,
λ H x, let ⟨n, h⟩ := H x in ⟨n+1,
lt_of_le_of_lt h (int.cast_lt.2 (lt_add_one _))⟩⟩
lemma archimedean_iff_rat_lt : archimedean α ↔ ∀ x : α, ∃ q : ℚ, x < q :=
⟨@exists_rat_gt α _,
λ H, archimedean_iff_nat_lt.2 $ λ x,
let ⟨q, h⟩ := H x in
⟨⌈q⌉₊, lt_of_lt_of_le h $
by simpa only [rat.cast_coe_nat] using (@rat.cast_le α _ _ _).2 (nat.le_ceil _)⟩⟩
lemma archimedean_iff_rat_le : archimedean α ↔ ∀ x : α, ∃ q : ℚ, x ≤ q :=
archimedean_iff_rat_lt.trans
⟨λ H x, (H x).imp $ λ _, le_of_lt,
λ H x, let ⟨n, h⟩ := H x in ⟨n+1,
lt_of_le_of_lt h (rat.cast_lt.2 (lt_add_one _))⟩⟩
end linear_ordered_field
instance : archimedean ℕ :=
⟨λ n m m0, ⟨n, by simpa only [mul_one, nat.nsmul_eq_mul] using nat.mul_le_mul_left n m0⟩⟩
instance : archimedean ℤ :=
⟨λ n m m0, ⟨n.to_nat, le_trans (int.le_to_nat _) $
by simpa only [nsmul_eq_mul, zero_add, mul_one]
using mul_le_mul_of_nonneg_left (int.add_one_le_iff.2 m0) (int.coe_zero_le n.to_nat)⟩⟩
instance : archimedean ℚ :=
archimedean_iff_rat_le.2 $ λ q, ⟨q, by rw rat.cast_id⟩
/-- A linear ordered archimedean ring is a floor ring. This is not an `instance` because in some
cases we have a computable `floor` function. -/
noncomputable def archimedean.floor_ring (α) [linear_ordered_ring α] [archimedean α] :
floor_ring α :=
floor_ring.of_floor α (λ a, classical.some (exists_floor a))
(λ z a, (classical.some_spec (exists_floor a) z).symm)
/-- A linear ordered field that is a floor ring is archimedean. -/
@[priority 100] -- see Note [lower instance priority]
instance floor_ring.archimedean (α) [linear_ordered_field α] [floor_ring α] : archimedean α :=
begin
rw archimedean_iff_int_le,
exact λ x, ⟨⌈x⌉, int.le_ceil x⟩
end
|
1950c06a2b54f5e05814a126e796509c75400e8b | 80746c6dba6a866de5431094bf9f8f841b043d77 | /src/category_theory/natural_isomorphism.lean | fd94b2030fd52d445c1d34d6b0f4baf725f9b8d5 | [
"Apache-2.0"
] | permissive | leanprover-fork/mathlib-backup | 8b5c95c535b148fca858f7e8db75a76252e32987 | 0eb9db6a1a8a605f0cf9e33873d0450f9f0ae9b0 | refs/heads/master | 1,585,156,056,139 | 1,548,864,430,000 | 1,548,864,438,000 | 143,964,213 | 0 | 0 | Apache-2.0 | 1,550,795,966,000 | 1,533,705,322,000 | Lean | UTF-8 | Lean | false | false | 5,408 | lean | -- Copyright (c) 2017 Scott Morrison. All rights reserved.
-- Released under Apache 2.0 license as described in the file LICENSE.
-- Authors: Tim Baumann, Stephen Morgan, Scott Morrison
import category_theory.isomorphism
import category_theory.functor_category
open category_theory
namespace category_theory.nat_iso
universes v₁ v₂ u₁ u₂ -- declare the `v`'s first; see `category_theory.category` for an explanation
variables {C : Type u₁} [𝒞 : category.{v₁} C] {D : Type u₂} [𝒟 : category.{v₂} D]
include 𝒞 𝒟
def app {F G : C ⥤ D} (α : F ≅ G) (X : C) : F.obj X ≅ G.obj X :=
{ hom := α.hom.app X,
inv := α.inv.app X,
hom_inv_id' := begin rw [← functor.category.comp_app, iso.hom_inv_id], refl, end,
inv_hom_id' := begin rw [← functor.category.comp_app, iso.inv_hom_id], refl, end }
@[simp] lemma comp_app {F G H : C ⥤ D} (α : F ≅ G) (β : G ≅ H) (X : C) :
app (α ≪≫ β) X = app α X ≪≫ app β X := rfl
@[simp] lemma app_hom {F G : C ⥤ D} (α : F ≅ G) (X : C) : (app α X).hom = α.hom.app X := rfl
@[simp] lemma app_inv {F G : C ⥤ D} (α : F ≅ G) (X : C) : (app α X).inv = α.inv.app X := rfl
variables {F G : C ⥤ D}
instance hom_app_is_iso (α : F ≅ G) (X : C) : is_iso (α.hom.app X) :=
{ inv := α.inv.app X,
hom_inv_id' := begin rw [←functor.category.comp_app, iso.hom_inv_id, ←functor.category.id_app] end,
inv_hom_id' := begin rw [←functor.category.comp_app, iso.inv_hom_id, ←functor.category.id_app] end }
instance inv_app_is_iso (α : F ≅ G) (X : C) : is_iso (α.inv.app X) :=
{ inv := α.hom.app X,
hom_inv_id' := begin rw [←functor.category.comp_app, iso.inv_hom_id, ←functor.category.id_app] end,
inv_hom_id' := begin rw [←functor.category.comp_app, iso.hom_inv_id, ←functor.category.id_app] end }
@[simp] lemma hom_vcomp_inv (α : F ≅ G) : (α.hom ⊟ α.inv) = nat_trans.id _ :=
begin
have h : (α.hom ⊟ α.inv) = α.hom ≫ α.inv := rfl,
rw h,
rw iso.hom_inv_id,
refl
end
@[simp] lemma inv_vcomp_hom (α : F ≅ G) : (α.inv ⊟ α.hom) = nat_trans.id _ :=
begin
have h : (α.inv ⊟ α.hom) = α.inv ≫ α.hom := rfl,
rw h,
rw iso.inv_hom_id,
refl
end
@[simp] lemma hom_app_inv_app_id (α : F ≅ G) (X : C) : α.hom.app X ≫ α.inv.app X = 𝟙 _ :=
begin
rw ←nat_trans.vcomp_app,
simp,
end
@[simp] lemma inv_app_hom_app_id (α : F ≅ G) (X : C) : α.inv.app X ≫ α.hom.app X = 𝟙 _ :=
begin
rw ←nat_trans.vcomp_app,
simp,
end
variables {X Y : C}
@[simp] lemma naturality_1 (α : F ≅ G) (f : X ⟶ Y) :
(α.inv.app X) ≫ (F.map f) ≫ (α.hom.app Y) = G.map f :=
begin erw [nat_trans.naturality, ←category.assoc, is_iso.hom_inv_id, category.id_comp] end
@[simp] lemma naturality_2 (α : F ≅ G) (f : X ⟶ Y) :
(α.hom.app X) ≫ (G.map f) ≫ (α.inv.app Y) = F.map f :=
begin erw [nat_trans.naturality, ←category.assoc, is_iso.hom_inv_id, category.id_comp] end
def of_components (app : ∀ X : C, (F.obj X) ≅ (G.obj X))
(naturality : ∀ {X Y : C} (f : X ⟶ Y), (F.map f) ≫ ((app Y).hom) = ((app X).hom) ≫ (G.map f)) :
F ≅ G :=
{ hom := { app := λ X, ((app X).hom), },
inv :=
{ app := λ X, ((app X).inv),
naturality' := λ X Y f,
by simpa using congr_arg (λ f, (app X).inv ≫ (f ≫ (app Y).inv)) (naturality f).symm } }
@[simp] def of_components.app (app' : ∀ X : C, (F.obj X) ≅ (G.obj X)) (naturality) (X) :
app (of_components app' naturality) X = app' X :=
by tidy
@[simp] def of_components.hom_app (app : ∀ X : C, (F.obj X) ≅ (G.obj X)) (naturality) (X) :
(of_components app naturality).hom.app X = (app X).hom := rfl
@[simp] def of_components.inv_app (app : ∀ X : C, (F.obj X) ≅ (G.obj X)) (naturality) (X) :
(of_components app naturality).inv.app X = (app X).inv := rfl
end category_theory.nat_iso
namespace category_theory.functor
universes u₁ u₂ v₁ v₂
section
variables {C : Type u₁} [𝒞 : category.{v₁} C]
{D : Type u₂} [𝒟 : category.{v₂} D]
include 𝒞 𝒟
@[simp] protected def id_comp (F : C ⥤ D) : functor.id C ⋙ F ≅ F :=
{ hom := { app := λ X, 𝟙 (F.obj X) },
inv := { app := λ X, 𝟙 (F.obj X) } }
@[simp] protected def comp_id (F : C ⥤ D) : F ⋙ functor.id D ≅ F :=
{ hom := { app := λ X, 𝟙 (F.obj X) },
inv := { app := λ X, 𝟙 (F.obj X) } }
universes u₃ v₃ u₄ v₄
variables {A : Type u₃} [𝒜 : category.{v₃} A]
{B : Type u₄} [ℬ : category.{v₄} B]
include 𝒜 ℬ
variables (F : A ⥤ B) (G : B ⥤ C) (H : C ⥤ D)
@[simp] protected def assoc : (F ⋙ G) ⋙ H ≅ F ⋙ (G ⋙ H ):=
{ hom := { app := λ X, 𝟙 (H.obj (G.obj (F.obj X))) },
inv := { app := λ X, 𝟙 (H.obj (G.obj (F.obj X))) } }
-- When it's time to define monoidal categories and 2-categories,
-- we'll need to add lemmas relating these natural isomorphisms,
-- in particular the pentagon for the associator.
end
section
variables {C : Type u₁} [𝒞 : category.{v₁} C]
include 𝒞
def ulift_down_up : ulift_down.{v₁} C ⋙ ulift_up C ≅ functor.id (ulift.{u₂} C) :=
{ hom := { app := λ X, @category.id (ulift.{u₂} C) _ X },
inv := { app := λ X, @category.id (ulift.{u₂} C) _ X } }
def ulift_up_down : ulift_up.{v₁} C ⋙ ulift_down C ≅ functor.id C :=
{ hom := { app := λ X, 𝟙 X },
inv := { app := λ X, 𝟙 X } }
end
end category_theory.functor
|
7550f975b7724de6fbc9869f71c31f08b54734e4 | 947b78d97130d56365ae2ec264df196ce769371a | /tests/playground/cmdparsertest1.lean | 7293984425596066e4a1ab4d41b2d5efc997a453 | [
"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 | 1,192 | lean | import Lean.Parser.Command
open Lean
open Lean.Parser
def testParser (input : String) : IO Unit :=
do
env ← mkEmptyEnvironment;
cmdPTables ← builtinCommandParsingTable.get;
stx ← IO.ofExcept $ runParser env cmdPTables input "<input>" "command";
IO.println stx
def test (is : List String) : IO Unit :=
is.mfor $ fun input => do
IO.println input;
testParser input
def main (xs : List String) : IO Unit :=
do
IO.println Command.declaration.info.firstTokens;
test [
"@[inline] def x := 2",
"protected def length.{u} {α : Type u} : List α → Nat
| [] := 0
| (a::as) := 1 + length as",
"/-- doc string test -/ private theorem bla (x : Nat) : x = x := Eq.refl x",
"class Alternative (f : Type u → Type v) extends Applicative f : Type (max (u+1) v) :=
(failure : ∀ {α : Type u}, f α)
(orelse : ∀ {α : Type u}, f α → f α → f α)
",
"local attribute [instance] foo bla",
"attribute [inline] test",
"open Lean (hiding Name)",
"reserve infixr ` ∨ `:30",
"reserve prefix `¬`:40",
"infixr ` ^ ` := HasPow.pow",
"notation f ` $ `:1 a:0 := f a",
"notation `Prop` := Sort 0",
"notation `∅` := HasEmptyc.emptyc _",
"notation `⟦`:max a `⟧`:0 := Quotient.mk a"
]
|
d30b67399fbc95dc3c1ea6922b1cf94aef4022a1 | 947b78d97130d56365ae2ec264df196ce769371a | /tests/lean/run/noncomputable_bug.lean | f09f5032ba6b6d54b8ce0d4fd0cf6b5154adcbf1 | [
"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 | 116 | lean | new_frontend
axiom f : ∀ (A : Type), A → Type
def ex5b (α : Type) (a : α) : ∀ (A : Type), A → Type :=
f
|
6437219d36945792dc8f3e688008e9e19590cc71 | b9a81ebb9de684db509231c4469a7d2c88915808 | /src/super/misc_preprocessing.lean | 1104b441d32bc5afabda281e463115c66afb7705 | [] | no_license | leanprover/super | 3dd81ce8d9ac3cba20bce55e84833fadb2f5716e | 47b107b4cec8f3b41d72daba9cbda2f9d54025de | refs/heads/master | 1,678,482,996,979 | 1,676,526,367,000 | 1,676,526,367,000 | 92,215,900 | 12 | 6 | null | 1,513,327,539,000 | 1,495,570,640,000 | Lean | UTF-8 | Lean | false | false | 1,134 | lean | /-
Copyright (c) 2017 Gabriel Ebner. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Gabriel Ebner
-/
import .clause .prover_state
open expr list monad
namespace super
meta def is_taut (c : clause) : tactic bool := do
qf ← c.open_constn c.num_quants,
return $ list.bor $ do
l1 ← qf.1.get_lits, guard l1.is_neg,
l2 ← qf.1.get_lits, guard l2.is_pos,
[decidable.to_bool $ l1.formula = l2.formula]
meta def tautology_removal_pre : prover unit :=
preprocessing_rule $ λnew, filter (λc, bnot <$> is_taut c.c) new
meta def remove_duplicates : list derived_clause → list derived_clause
| [] := []
| (c :: cs) :=
let (same_type, other_type) := partition (λc' : derived_clause, c'.c.type = c.c.type) cs in
{ c with sc := foldl score.min c.sc (same_type.map $ λc, c.sc) } :: remove_duplicates other_type
meta def remove_duplicates_pre : prover unit :=
preprocessing_rule $ λnew,
return $ remove_duplicates new
meta def clause_normalize_pre : prover unit :=
preprocessing_rule $ λnew, new.mmap $ λdc,
do c' ← dc.c.normalize, return { dc with c := c' }
end super
|
871bd14ed4525f5bc08baad8566d7bbf161fd482 | 367134ba5a65885e863bdc4507601606690974c1 | /src/control/traversable/derive.lean | 68d5db907885ac4267014a24678f6f14e689c8d2 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 17,057 | lean | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Simon Hudon
Automation to construct `traversable` instances
-/
import control.traversable.lemmas
import data.list.basic
namespace tactic.interactive
open tactic list monad functor
meta def with_prefix : option name → name → name
| none n := n
| (some p) n := p ++ n
/-- similar to `nested_traverse` but for `functor` -/
meta def nested_map (f v : expr) : expr → tactic expr
| t :=
do t ← instantiate_mvars t,
mcond (succeeds $ is_def_eq t v)
(pure f)
(if ¬ v.occurs (t.app_fn)
then do
cl ← mk_app ``functor [t.app_fn],
_inst ← mk_instance cl,
f' ← nested_map t.app_arg,
mk_mapp ``functor.map [t.app_fn,_inst,none,none,f']
else fail format!"type {t} is not a functor with respect to variable {v}")
/-- similar to `traverse_field` but for `functor` -/
meta def map_field (n : name) (cl f α β e : expr) : tactic expr :=
do t ← infer_type e >>= whnf,
if t.get_app_fn.const_name = n
then fail "recursive types not supported"
else if α =ₐ e then pure β
else if α.occurs t
then do f' ← nested_map f α t,
pure $ f' e
else
(is_def_eq t.app_fn cl >> mk_app ``comp.mk [e])
<|> pure e
/-- similar to `traverse_constructor` but for `functor` -/
meta def map_constructor (c n : name) (f α β : expr)
(args₀ : list expr)
(args₁ : list (bool × expr)) (rec_call : list expr) : tactic expr :=
do g ← target,
(_, args') ← mmap_accuml (λ (x : list expr) (y : bool × expr),
if y.1 then pure (x.tail,x.head)
else prod.mk rec_call <$> map_field n g.app_fn f α β y.2) rec_call args₁,
constr ← mk_const c,
let r := constr.mk_app (args₀ ++ args'),
return r
/-- derive the `map` definition of a `functor` -/
meta def mk_map (type : name) :=
do ls ← local_context,
[α,β,f,x] ← tactic.intro_lst [`α,`β,`f,`x],
et ← infer_type x,
xs ← tactic.induction x,
xs.mmap' (λ (x : name × list expr × list (name × expr)),
do let (c,args,_) := x,
(args,rec_call) ← args.mpartition $ λ e, (bnot ∘ β.occurs) <$> infer_type e,
args₀ ← args.mmap $ λ a, do { b ← et.occurs <$> infer_type a, pure (b,a) },
map_constructor c type f α β (ls ++ [β]) args₀ rec_call >>= tactic.exact)
meta def mk_mapp_aux' : expr → expr → list expr → tactic expr
| fn (expr.pi n bi d b) (a::as) :=
do infer_type a >>= unify d,
fn ← head_beta (fn a),
t ← whnf (b.instantiate_var a),
mk_mapp_aux' fn t as
| fn _ _ := pure fn
meta def mk_mapp' (fn : expr) (args : list expr) : tactic expr :=
do t ← infer_type fn >>= whnf,
mk_mapp_aux' fn t args
/-- derive the equations for a specific `map` definition -/
meta def derive_map_equations (pre : option name) (n : name) (vs : list expr) (tgt : expr) :
tactic unit :=
do e ← get_env,
((e.constructors_of n).enum_from 1).mmap' $ λ ⟨i,c⟩,
do { mk_meta_var tgt >>= set_goals ∘ pure,
vs ← intro_lst $ vs.map expr.local_pp_name,
[α,β,f] ← tactic.intro_lst [`α,`β,`f] >>= mmap instantiate_mvars,
c' ← mk_mapp c $ vs.map some ++ [α],
tgt' ← infer_type c' >>= pis vs,
mk_meta_var tgt' >>= set_goals ∘ pure,
vs ← tactic.intro_lst $ vs.map expr.local_pp_name,
vs' ← tactic.intros,
c' ← mk_mapp c $ vs.map some ++ [α],
arg ← mk_mapp' c' vs',
n_map ← mk_const (with_prefix pre n <.> "map"),
let call_map := λ x, mk_mapp' n_map (vs ++ [α,β,f,x]),
lhs ← call_map arg,
args ← vs'.mmap $ λ a,
do { t ← infer_type a,
pure ((expr.const_name (expr.get_app_fn t) = n : bool),a) },
let rec_call := args.filter_map $
λ ⟨b, e⟩, guard b >> pure e,
rec_call ← rec_call.mmap call_map,
rhs ← map_constructor c n f α β (vs ++ [β]) args rec_call,
monad.join $ unify <$> infer_type lhs <*> infer_type rhs,
eqn ← mk_app ``eq [lhs,rhs],
let ws := eqn.list_local_consts,
eqn ← pis ws.reverse eqn,
eqn ← instantiate_mvars eqn,
(_,pr) ← solve_aux eqn (tactic.intros >> refine ``(rfl)),
let eqn_n := (with_prefix pre n <.> "map" <.> "equations" <.> "_eqn").append_after i,
pr ← instantiate_mvars pr,
add_decl $ declaration.thm eqn_n eqn.collect_univ_params eqn (pure pr),
return () },
set_goals [],
return ()
meta def derive_functor (pre : option name) : tactic unit :=
do vs ← local_context,
`(functor %%f) ← target,
env ← get_env,
let n := f.get_app_fn.const_name,
d ← get_decl n,
refine ``( { functor . map := _ , .. } ),
tgt ← target,
extract_def (with_prefix pre n <.> "map") d.is_trusted $ mk_map n,
when (d.is_trusted) $ do
tgt ← pis vs tgt,
derive_map_equations pre n vs tgt
/-- `seq_apply_constructor f [x,y,z]` synthesizes `f <*> x <*> y <*> z` -/
private meta def seq_apply_constructor :
expr → list (expr ⊕ expr) → tactic (list (tactic expr) × expr)
| e (sum.inr x :: xs) :=
prod.map (cons intro1) id <$> (to_expr ``(%%e <*> %%x) >>= flip seq_apply_constructor xs)
| e (sum.inl x :: xs) := prod.map (cons $ pure x) id <$> seq_apply_constructor e xs
| e [] := return ([],e)
/-- ``nested_traverse f α (list (array n (list α)))`` synthesizes the expression
`traverse (traverse (traverse f))`. `nested_traverse` assumes that `α` appears in
`(list (array n (list α)))` -/
meta def nested_traverse (f v : expr) : expr → tactic expr
| t :=
do t ← instantiate_mvars t,
mcond (succeeds $ is_def_eq t v)
(pure f)
(if ¬ v.occurs (t.app_fn)
then do
cl ← mk_app ``traversable [t.app_fn],
_inst ← mk_instance cl,
f' ← nested_traverse t.app_arg,
mk_mapp ``traversable.traverse [t.app_fn,_inst,none,none,none,none,f']
else fail format!"type {t} is not traversable with respect to variable {v}")
/--
For a sum type `inductive foo (α : Type) | foo1 : list α → ℕ → foo | ...`
``traverse_field `foo appl_inst f `α `(x : list α)`` synthesizes
`traverse f x` as part of traversing `foo1`. -/
meta def traverse_field (n : name) (appl_inst cl f v e : expr) : tactic (expr ⊕ expr) :=
do t ← infer_type e >>= whnf,
if t.get_app_fn.const_name = n
then fail "recursive types not supported"
else if v.occurs t
then do f' ← nested_traverse f v t,
pure $ sum.inr $ f' e
else
(is_def_eq t.app_fn cl >> sum.inr <$> mk_app ``comp.mk [e])
<|> pure (sum.inl e)
/--
For a sum type `inductive foo (α : Type) | foo1 : list α → ℕ → foo | ...`
``traverse_constructor `foo1 `foo appl_inst f `α `β [`(x : list α), `(y : ℕ)]``
synthesizes `foo1 <$> traverse f x <*> pure y.` -/
meta def traverse_constructor (c n : name) (appl_inst f α β : expr)
(args₀ : list expr)
(args₁ : list (bool × expr)) (rec_call : list expr) : tactic expr :=
do g ← target,
args' ← mmap (traverse_field n appl_inst g.app_fn f α) args₀,
(_, args') ← mmap_accuml (λ (x : list expr) (y : bool × _),
if y.1 then pure (x.tail, sum.inr x.head)
else prod.mk x <$> traverse_field n appl_inst g.app_fn f α y.2) rec_call args₁,
constr ← mk_const c,
v ← mk_mvar,
constr' ← to_expr ``(@pure _ (%%appl_inst).to_has_pure _ %%v),
(vars_intro,r) ← seq_apply_constructor constr' (args₀.map sum.inl ++ args'),
gs ← get_goals,
set_goals [v],
vs ← vars_intro.mmap id,
tactic.exact (constr.mk_app vs),
done,
set_goals gs,
return r
/-- derive the `traverse` definition of a `traversable` instance -/
meta def mk_traverse (type : name) := do
do ls ← local_context,
[m,appl_inst,α,β,f,x] ← tactic.intro_lst [`m,`appl_inst,`α,`β,`f,`x],
et ← infer_type x,
reset_instance_cache,
xs ← tactic.induction x,
xs.mmap'
(λ (x : name × list expr × list (name × expr)),
do let (c,args,_) := x,
(args,rec_call) ← args.mpartition $ λ e, (bnot ∘ β.occurs) <$> infer_type e,
args₀ ← args.mmap $ λ a, do { b ← et.occurs <$> infer_type a, pure (b,a) },
traverse_constructor c type appl_inst f α β (ls ++ [β]) args₀ rec_call >>= tactic.exact)
open applicative
/-- derive the equations for a specific `traverse` definition -/
meta def derive_traverse_equations (pre : option name) (n : name) (vs : list expr) (tgt : expr) :
tactic unit :=
do e ← get_env,
((e.constructors_of n).enum_from 1).mmap' $ λ ⟨i,c⟩,
do { mk_meta_var tgt >>= set_goals ∘ pure,
vs ← intro_lst $ vs.map expr.local_pp_name,
[m,appl_inst,α,β,f] ← tactic.intro_lst [`m,`appl_inst,`α,`β,`f] >>= mmap instantiate_mvars,
c' ← mk_mapp c $ vs.map some ++ [α],
tgt' ← infer_type c' >>= pis vs,
mk_meta_var tgt' >>= set_goals ∘ pure,
vs ← tactic.intro_lst $ vs.map expr.local_pp_name,
c' ← mk_mapp c $ vs.map some ++ [α],
vs' ← tactic.intros,
arg ← mk_mapp' c' vs',
n_map ← mk_const (with_prefix pre n <.> "traverse"),
let call_traverse := λ x, mk_mapp' n_map (vs ++ [m,appl_inst,α,β,f,x]),
lhs ← call_traverse arg,
args ← vs'.mmap $ λ a,
do { t ← infer_type a,
pure ((expr.const_name (expr.get_app_fn t) = n : bool),a) },
let rec_call := args.filter_map $
λ ⟨b, e⟩, guard b >> pure e,
rec_call ← rec_call.mmap call_traverse,
rhs ← traverse_constructor c n appl_inst f α β (vs ++ [β]) args rec_call,
monad.join $ unify <$> infer_type lhs <*> infer_type rhs,
eqn ← mk_app ``eq [lhs,rhs],
let ws := eqn.list_local_consts,
eqn ← pis ws.reverse eqn,
eqn ← instantiate_mvars eqn,
(_,pr) ← solve_aux eqn (tactic.intros >> refine ``(rfl)),
let eqn_n := (with_prefix pre n <.> "traverse" <.> "equations" <.> "_eqn").append_after i,
pr ← instantiate_mvars pr,
add_decl $ declaration.thm eqn_n eqn.collect_univ_params eqn (pure pr),
return () },
set_goals [],
return ()
meta def derive_traverse (pre : option name) : tactic unit :=
do vs ← local_context,
`(traversable %%f) ← target,
env ← get_env,
let n := f.get_app_fn.const_name,
d ← get_decl n,
constructor,
tgt ← target,
extract_def (with_prefix pre n <.> "traverse") d.is_trusted $ mk_traverse n,
when (d.is_trusted) $ do
tgt ← pis vs tgt,
derive_traverse_equations pre n vs tgt
meta def mk_one_instance
(n : name)
(cls : name)
(tac : tactic unit)
(namesp : option name)
(mk_inst : name → expr → tactic expr := λ n arg, mk_app n [arg]) :
tactic unit :=
do decl ← get_decl n,
cls_decl ← get_decl cls,
env ← get_env,
guard (env.is_inductive n) <|>
fail format!"failed to derive '{cls}', '{n}' is not an inductive type",
let ls := decl.univ_params.map $ λ n, level.param n,
-- incrementally build up target expression `Π (hp : p) [cls hp] ..., cls (n.{ls} hp ...)`
-- where `p ...` are the inductive parameter types of `n`
let tgt : expr := expr.const n ls,
⟨params, _⟩ ← open_pis (decl.type.instantiate_univ_params (decl.univ_params.zip ls)),
let params := params.init,
let tgt := tgt.mk_app params,
tgt ← mk_inst cls tgt,
tgt ← params.enum.mfoldr (λ ⟨i, param⟩ tgt,
do -- add typeclass hypothesis for each inductive parameter
tgt ← do {
guard $ i < env.inductive_num_params n,
param_cls ← mk_app cls [param],
pure $ expr.pi `a binder_info.inst_implicit param_cls tgt
} <|> pure tgt,
pure $ tgt.bind_pi param
) tgt,
() <$ mk_instance tgt <|> do
(_, val) ← tactic.solve_aux tgt (do
tactic.intros >> tac),
val ← instantiate_mvars val,
let trusted := decl.is_trusted ∧ cls_decl.is_trusted,
let inst_n := with_prefix namesp n ++ cls,
add_decl (declaration.defn inst_n
decl.univ_params
tgt val reducibility_hints.abbrev trusted),
set_basic_attribute `instance inst_n namesp.is_none
open interactive
meta def get_equations_of (n : name) : tactic (list pexpr) :=
do e ← get_env,
let pre := n <.> "equations",
let x := e.fold [] $ λ d xs, if pre.is_prefix_of d.to_name then d.to_name :: xs else xs,
x.mmap resolve_name
meta def derive_lawful_functor (pre : option name) : tactic unit :=
do `(@is_lawful_functor %%f %%d) ← target,
refine ``( { .. } ),
let n := f.get_app_fn.const_name,
let rules := λ r, [simp_arg_type.expr r, simp_arg_type.all_hyps],
let goal := loc.ns [none],
solve1 (do
vs ← tactic.intros,
try $ dunfold [``functor.map] (loc.ns [none]),
dunfold [with_prefix pre n <.> "map",``id] (loc.ns [none]),
() <$ tactic.induction vs.ilast;
simp none none ff (rules ``(functor.map_id)) [] goal),
focus1 (do
vs ← tactic.intros,
try $ dunfold [``functor.map] (loc.ns [none]),
dunfold [with_prefix pre n <.> "map",``id] (loc.ns [none]),
() <$ tactic.induction vs.ilast;
simp none none ff (rules ``(functor.map_comp_map)) [] goal),
return ()
meta def simp_functor (rs : list simp_arg_type := []) : tactic unit :=
simp none none ff rs [`functor_norm] (loc.ns [none])
meta def traversable_law_starter (rs : list simp_arg_type) :=
do vs ← tactic.intros,
resetI,
dunfold [``traversable.traverse,``functor.map] (loc.ns [none]),
() <$ tactic.induction vs.ilast;
simp_functor rs
meta def derive_lawful_traversable (pre : option name) : tactic unit :=
do `(@is_lawful_traversable %%f %%d) ← target,
let n := f.get_app_fn.const_name,
eqns ← get_equations_of (with_prefix pre n <.> "traverse"),
eqns' ← get_equations_of (with_prefix pre n <.> "map"),
let def_eqns := eqns.map simp_arg_type.expr ++
eqns'.map simp_arg_type.expr ++
[simp_arg_type.all_hyps],
let comp_def := [ simp_arg_type.expr ``(function.comp) ],
let tr_map := list.map simp_arg_type.expr [``(traversable.traverse_eq_map_id')],
let natur := λ (η : expr), [simp_arg_type.expr ``(traversable.naturality_pf %%η)],
let goal := loc.ns [none],
constructor;
[ traversable_law_starter def_eqns; refl,
traversable_law_starter def_eqns; (refl <|> simp_functor (def_eqns ++ comp_def)),
traversable_law_starter def_eqns; (refl <|> simp none none tt tr_map [] goal ),
traversable_law_starter def_eqns; (refl <|> do
η ← get_local `η <|> do {
t ← mk_const ``is_lawful_traversable.naturality >>= infer_type >>= pp,
fail format!"expecting an `applicative_transformation` called `η` in\nnaturality : {t}"},
simp none none tt (natur η) [] goal) ];
refl,
return ()
open function
meta def guard_class (cls : name) (hdl : derive_handler) : derive_handler :=
λ p n,
if p.is_constant_of cls then
hdl p n
else
pure ff
meta def higher_order_derive_handler
(cls : name)
(tac : tactic unit)
(deps : list derive_handler := [])
(namesp : option name)
(mk_inst : name → expr → tactic expr := λ n arg, mk_app n [arg]) :
derive_handler :=
λ p n,
do mmap' (λ f : derive_handler, f p n) deps,
mk_one_instance n cls tac namesp mk_inst,
pure tt
meta def functor_derive_handler' (nspace : option name := none) : derive_handler :=
higher_order_derive_handler ``functor (derive_functor nspace) [] nspace
@[derive_handler]
meta def functor_derive_handler : derive_handler :=
guard_class ``functor functor_derive_handler'
meta def traversable_derive_handler' (nspace : option name := none) : derive_handler :=
higher_order_derive_handler ``traversable (derive_traverse nspace)
[functor_derive_handler' nspace] nspace
@[derive_handler]
meta def traversable_derive_handler : derive_handler :=
guard_class ``traversable traversable_derive_handler'
meta def lawful_functor_derive_handler' (nspace : option name := none) : derive_handler :=
higher_order_derive_handler
``is_lawful_functor (derive_lawful_functor nspace)
[traversable_derive_handler' nspace]
nspace
(λ n arg, mk_mapp n [arg,none])
@[derive_handler]
meta def lawful_functor_derive_handler : derive_handler :=
guard_class ``is_lawful_functor lawful_functor_derive_handler'
meta def lawful_traversable_derive_handler' (nspace : option name := none) : derive_handler :=
higher_order_derive_handler
``is_lawful_traversable (derive_lawful_traversable nspace)
[traversable_derive_handler' nspace,
lawful_functor_derive_handler' nspace]
nspace
(λ n arg, mk_mapp n [arg,none])
@[derive_handler]
meta def lawful_traversable_derive_handler : derive_handler :=
guard_class ``is_lawful_traversable lawful_traversable_derive_handler'
end tactic.interactive
|
496f26b7a32b62e230b28004bb11492f1fc60928 | d1a52c3f208fa42c41df8278c3d280f075eb020c | /stage0/src/Lean/Server/AsyncList.lean | c45d696e0d3e9bf679c1f639333cdc850d15440a | [
"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 | 4,965 | lean | /-
Copyright (c) 2020 Wojciech Nawrocki. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Wojciech Nawrocki
-/
import Init.System.IO
namespace IO
universe u v
/-- An async IO list is like a lazy list but instead of being *unevaluated* `Thunk`s,
lazy tails are `Task`s *being evaluated asynchronously*. A tail can signal the end
of computation (successful or due to a failure) with a terminating value of type `ε`. -/
inductive AsyncList (ε : Type u) (α : Type v) where
| cons (hd : α) (tl : AsyncList ε α)
| asyncTail (tl : Task $ Except ε $ AsyncList ε α)
| nil
namespace AsyncList
instance : Inhabited (AsyncList ε α) := ⟨nil⟩
-- TODO(WN): tail-recursion without forcing sync?
partial def append : AsyncList ε α → AsyncList ε α → AsyncList ε α
| cons hd tl, s => cons hd (append tl s)
| asyncTail ttl, s => asyncTail (ttl.map $ Except.map (append · s))
| nil, s => s
instance : Append (AsyncList ε α) := ⟨append⟩
def ofList : List α → AsyncList ε α :=
List.foldr AsyncList.cons AsyncList.nil
instance : Coe (List α) (AsyncList ε α) := ⟨ofList⟩
private def coeErr {β} [Coe Error ε] (t : Task $ Except Error $ Except ε β) : Task (Except ε β) :=
t.map $ fun
| Except.ok v => v
| Except.error (e : Error) => Except.error (e : ε)
/-- Given a step computation `f` which takes the accumulator and either produces
another value or stops with a terminating value, produces an async stream of its
iterated applications. The initial value is *not* included. The computation can
throw IO exceptions, so to handle this the terminating value type must include
`IO.Error`.
For cooperatively cancelling an ongoing computation, we recommend referencing
a cancellation token in `f` and checking it when appropriate. -/
partial def unfoldAsync [Coe Error ε] (f : α → ExceptT ε IO α) (init : α)
: IO (AsyncList ε α) := do
let rec step (a : α) : ExceptT ε IO (AsyncList ε α) := do
let aNext ← f a
let tNext ← coeErr <$> asTask (step aNext)
return cons aNext $ asyncTail tNext
let tInit ← coeErr <$> asTask (step init)
asyncTail tInit
/-- The computed, synchronous list. If an async tail was present, returns also
its terminating value. -/
partial def getAll : AsyncList ε α → List α × Option ε
| cons hd tl =>
let ⟨l, e?⟩ := tl.getAll
⟨hd :: l, e?⟩
| nil => ⟨[], none⟩
| asyncTail tl =>
match tl.get with
| Except.ok tl => tl.getAll
| Except.error e => ⟨[], some e⟩
/-- Spawns a `Task` waiting on the prefix of elements for which `p` is true. -/
partial def waitAll [Coe Error ε] (p : α → Bool := fun _ => true) : AsyncList ε α → BaseIO (Task (List α × Option ε))
| cons hd tl => do
if p hd then
let t ← tl.waitAll p
t.map fun ⟨l, e?⟩ => ⟨hd :: l, e?⟩
else
return Task.pure ⟨[hd], none⟩
| nil => return Task.pure ⟨[], none⟩
| asyncTail tl => do
let t : Task (Except IO.Error (List α × Option ε)) ← BaseIO.bindTask tl fun
| Except.ok tl => Task.map Except.ok <$> tl.waitAll p
| Except.error e => return Task.pure <| Except.ok ⟨[], some e⟩
t.map fun
| Except.error e => ⟨[], some e⟩
| Except.ok v => v
/-- Spawns a `Task` acting like `List.find?` but which will wait for tail evalution
when necessary to traverse the list. If the tail terminates before a matching element
is found, the task throws the terminating value. -/
partial def waitFind? (p : α → Bool) [Coe Error ε] : AsyncList ε α → BaseIO (Task $ Except ε $ Option α)
| nil => return Task.pure <| Except.ok none
| cons hd tl => do
if p hd then return Task.pure <| Except.ok <| some hd
else tl.waitFind? p
| asyncTail tl => do
let t ← BaseIO.bindTask tl fun
| Except.ok tl => Task.map Except.ok <$> tl.waitFind? p
| Except.error e => return Task.pure <| Except.ok <| Except.error e
coeErr t
/-- Extends the `finishedPrefix` as far as possible. If computation was ongoing
and has finished, also returns the terminating value. -/
partial def updateFinishedPrefix : AsyncList ε α → BaseIO (AsyncList ε α × Option ε)
| cons hd tl => do
let ⟨tl, e?⟩ ← tl.updateFinishedPrefix
pure ⟨cons hd tl, e?⟩
| nil => pure ⟨nil, none⟩
| l@(asyncTail tl) => do
if (← hasFinished tl) then
match tl.get with
| Except.ok tl => tl.updateFinishedPrefix
| Except.error e => pure ⟨nil, some e⟩
else pure ⟨l, none⟩
private partial def finishedPrefixAux : List α → AsyncList ε α → List α
| acc, cons hd tl => finishedPrefixAux (hd :: acc) tl
| acc, nil => acc
| acc, asyncTail tl => acc
/-- The longest already-computed prefix of the list. -/
def finishedPrefix : AsyncList ε α → List α :=
List.reverse ∘ (finishedPrefixAux [])
end AsyncList
end IO
|
4e9bc1ee5ac5a430575b35c2a088666c6c676b92 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/category_theory/idempotents/karoubi_karoubi.lean | 983eb2ac4b9e7539e9b198d9e1d056506390332a | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 3,350 | lean | /-
Copyright (c) 2022 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import category_theory.idempotents.karoubi
/-!
# Idempotence of the Karoubi envelope
In this file, we construct the equivalence of categories
`karoubi_karoubi.equivalence C : karoubi C ≌ karoubi (karoubi C)` for any category `C`.
-/
open category_theory.category
open category_theory.idempotents.karoubi
namespace category_theory
namespace idempotents
namespace karoubi_karoubi
variables (C : Type*) [category C]
/-- The canonical functor `karoubi (karoubi C) ⥤ karoubi C` -/
@[simps]
def inverse : karoubi (karoubi C) ⥤ karoubi C :=
{ obj := λ P, ⟨P.X.X, P.p.f, by simpa only [hom_ext] using P.idem⟩,
map := λ P Q f, ⟨f.f.f, by simpa only [hom_ext] using f.comm⟩, }
instance [preadditive C] : functor.additive (inverse C) := { }
/-- The unit isomorphism of the equivalence -/
@[simps]
def unit_iso : 𝟭 (karoubi C) ≅ to_karoubi (karoubi C) ⋙ inverse C := eq_to_iso begin
apply functor.ext,
{ intros P Q f,
ext,
simp only [functor.id_map, inverse_map_f, to_karoubi_map_f, eq_to_hom_f,
eq_to_hom_refl, comp_id, p_comp_assoc, functor.comp_map, comp],
dsimp,
simp only [id_eq, comp_p], },
{ intro P,
ext,
{ simpa only [eq_to_hom_refl, comp_id, id_comp], },
{ refl, }, }
end
/-- The counit isomorphism of the equivalence -/
@[simps]
def counit_iso : inverse C ⋙ to_karoubi (karoubi C) ≅ 𝟭 (karoubi (karoubi C)) :=
{ hom :=
{ app := λ P,
{ f :=
{ f := P.p.1,
comm := begin
have h := P.idem,
simp only [hom_ext, comp] at h,
erw [← assoc, h, comp_p],
end, },
comm := begin
have h := P.idem,
simp only [hom_ext, comp] at h ⊢,
erw [h, h],
end, },
naturality' := λ P Q f, by simpa only [hom_ext] using (p_comm f).symm, },
inv :=
{ app := λ P,
{ f :=
{ f := P.p.1,
comm := begin
have h := P.idem,
simp only [hom_ext, comp] at h,
erw [h, p_comp],
end, },
comm := begin
have h := P.idem,
simp only [hom_ext, comp] at h ⊢,
erw [h, h],
end, },
naturality' := λ P Q f, by simpa [hom_ext] using (p_comm f).symm, },
hom_inv_id' := by { ext P, simpa only [hom_ext, id_eq] using P.idem, },
inv_hom_id' := by { ext P, simpa only [hom_ext, id_eq] using P.idem, }, }
/-- The equivalence `karoubi C ≌ karoubi (karoubi C)` -/
@[simps]
def equivalence : karoubi C ≌ karoubi (karoubi C) :=
{ functor := to_karoubi (karoubi C),
inverse := karoubi_karoubi.inverse C,
unit_iso := karoubi_karoubi.unit_iso C,
counit_iso := karoubi_karoubi.counit_iso C,
functor_unit_iso_comp' := λ P, begin
ext,
simp only [eq_to_hom_f, eq_to_hom_refl, comp_id, counit_iso_hom_app_f_f,
to_karoubi_obj_p, id_eq, assoc, comp, unit_iso_hom, eq_to_hom_app, eq_to_hom_map],
erw [P.idem, P.idem],
end, }
instance equivalence.additive_functor [preadditive C] :
functor.additive (equivalence C).functor := by { dsimp, apply_instance, }
instance equivalence.additive_inverse [preadditive C] :
functor.additive (equivalence C).inverse := by { dsimp, apply_instance, }
end karoubi_karoubi
end idempotents
end category_theory
|
067c31a1795434fcf1a28acb8b00c7f0ed5a40be | f5f7e6fae601a5fe3cac7cc3ed353ed781d62419 | /src/tactic/linarith.lean | 61e706c1fd8a7857677715a1476853b4b5d1e803 | [
"Apache-2.0"
] | permissive | EdAyers/mathlib | 9ecfb2f14bd6caad748b64c9c131befbff0fb4e0 | ca5d4c1f16f9c451cf7170b10105d0051db79e1b | refs/heads/master | 1,626,189,395,845 | 1,555,284,396,000 | 1,555,284,396,000 | 144,004,030 | 0 | 0 | Apache-2.0 | 1,533,727,664,000 | 1,533,727,663,000 | null | UTF-8 | Lean | false | false | 32,563 | lean | /-
Copyright (c) 2018 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Robert Y. Lewis
A tactic for discharging linear arithmetic goals using Fourier-Motzkin elimination.
`linarith` is (in principle) complete for ℚ and ℝ. It is not complete for non-dense orders, i.e. ℤ.
@TODO: investigate storing comparisons in a list instead of a set, for possible efficiency gains
@TODO: delay proofs of denominator normalization and nat casting until after contradiction is found
-/
import tactic.ring data.nat.gcd data.list.basic meta.rb_map
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)))
open native
namespace linarith
section lemmas
lemma int.coe_nat_bit0 (n : ℕ) : (↑(bit0 n : ℕ) : ℤ) = bit0 (↑n : ℤ) := by simp [bit0]
lemma int.coe_nat_bit1 (n : ℕ) : (↑(bit1 n : ℕ) : ℤ) = bit1 (↑n : ℤ) := by simp [bit1, bit0]
lemma int.coe_nat_bit0_mul (n : ℕ) (x : ℕ) : (↑(bit0 n * x) : ℤ) = (↑(bit0 n) : ℤ) * (↑x : ℤ) := by simp
lemma int.coe_nat_bit1_mul (n : ℕ) (x : ℕ) : (↑(bit1 n * x) : ℤ) = (↑(bit1 n) : ℤ) * (↑x : ℤ) := by simp
lemma int.coe_nat_one_mul (x : ℕ) : (↑(1 * x) : ℤ) = 1 * (↑x : ℤ) := by simp
lemma int.coe_nat_zero_mul (x : ℕ) : (↑(0 * x) : ℤ) = 0 * (↑x : ℤ) := by simp
lemma int.coe_nat_mul_bit0 (n : ℕ) (x : ℕ) : (↑(x * bit0 n) : ℤ) = (↑x : ℤ) * (↑(bit0 n) : ℤ) := by simp
lemma int.coe_nat_mul_bit1 (n : ℕ) (x : ℕ) : (↑(x * bit1 n) : ℤ) = (↑x : ℤ) * (↑(bit1 n) : ℤ) := by simp
lemma int.coe_nat_mul_one (x : ℕ) : (↑(x * 1) : ℤ) = (↑x : ℤ) * 1 := by simp
lemma int.coe_nat_mul_zero (x : ℕ) : (↑(x * 0) : ℤ) = (↑x : ℤ) * 0 := by simp
lemma nat_eq_subst {n1 n2 : ℕ} {z1 z2 : ℤ} (hn : n1 = n2) (h1 : ↑n1 = z1) (h2 : ↑n2 = z2) : z1 = z2 :=
by simpa [eq.symm h1, eq.symm h2, int.coe_nat_eq_coe_nat_iff]
lemma nat_le_subst {n1 n2 : ℕ} {z1 z2 : ℤ} (hn : n1 ≤ n2) (h1 : ↑n1 = z1) (h2 : ↑n2 = z2) : z1 ≤ z2 :=
by simpa [eq.symm h1, eq.symm h2, int.coe_nat_le]
lemma nat_lt_subst {n1 n2 : ℕ} {z1 z2 : ℤ} (hn : n1 < n2) (h1 : ↑n1 = z1) (h2 : ↑n2 = z2) : z1 < z2 :=
by simpa [eq.symm h1, eq.symm h2, int.coe_nat_lt]
lemma eq_of_eq_of_eq {α} [ordered_semiring α] {a b : α} (ha : a = 0) (hb : b = 0) : a + b = 0 :=
by simp *
lemma le_of_eq_of_le {α} [ordered_semiring α] {a b : α} (ha : a = 0) (hb : b ≤ 0) : a + b ≤ 0 :=
by simp *
lemma lt_of_eq_of_lt {α} [ordered_semiring α] {a b : α} (ha : a = 0) (hb : b < 0) : a + b < 0 :=
by simp *
lemma le_of_le_of_eq {α} [ordered_semiring α] {a b : α} (ha : a ≤ 0) (hb : b = 0) : a + b ≤ 0 :=
by simp *
lemma lt_of_lt_of_eq {α} [ordered_semiring α] {a b : α} (ha : a < 0) (hb : b = 0) : a + b < 0 :=
by simp *
lemma mul_neg {α} [ordered_ring α] {a b : α} (ha : a < 0) (hb : b > 0) : b * a < 0 :=
have (-b)*a > 0, from mul_pos_of_neg_of_neg (neg_neg_of_pos hb) ha,
neg_of_neg_pos (by simpa)
lemma mul_nonpos {α} [ordered_ring α] {a b : α} (ha : a ≤ 0) (hb : b > 0) : b * a ≤ 0 :=
have (-b)*a ≥ 0, from mul_nonneg_of_nonpos_of_nonpos (le_of_lt (neg_neg_of_pos hb)) ha,
nonpos_of_neg_nonneg (by simp at this; exact this)
lemma mul_eq {α} [ordered_semiring α] {a b : α} (ha : a = 0) (hb : b > 0) : b * a = 0 :=
by simp *
lemma eq_of_not_lt_of_not_gt {α} [linear_order α] (a b : α) (h1 : ¬ a < b) (h2 : ¬ b < a) : a = b :=
le_antisymm (le_of_not_gt h2) (le_of_not_gt h1)
lemma add_subst {α} [ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) :
n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *]
lemma sub_subst {α} [ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) :
n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *]
lemma neg_subst {α} [ring α] {n e t : α} (h1 : n * e = t) : n * (-e) = -t := by simp *
private meta def apnn : tactic unit := `[norm_num]
lemma mul_subst {α} [comm_ring α] {n1 n2 k e1 e2 t1 t2 : α} (h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2)
(h3 : n1*n2 = k . apnn) : k * (e1 * e2) = t1 * t2 :=
have h3 : n1 * n2 = k, from h3,
by rw [←h3, mul_comm n1, mul_assoc n2, ←mul_assoc n1, h1, ←mul_assoc n2, mul_comm n2, mul_assoc, h2] -- OUCH
lemma div_subst {α} [field α] {n1 n2 k e1 e2 t1 : α} (h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1*n2 = k) :
k * (e1 / e2) = t1 :=
by rw [←h3, mul_assoc, mul_div_comm, h2, ←mul_assoc, h1, mul_comm, one_mul]
end lemmas
section datatypes
@[derive decidable_eq]
inductive ineq
| eq | le | lt
open ineq
def ineq.max : ineq → ineq → ineq
| eq a := a
| le a := a
| lt a := lt
def ineq.is_lt : ineq → ineq → bool
| eq le := tt
| eq lt := tt
| le lt := tt
| _ _ := ff
def ineq.to_string : ineq → string
| eq := "="
| le := "≤"
| lt := "<"
instance : has_to_string ineq := ⟨ineq.to_string⟩
/--
The main datatype for FM elimination.
Variables are represented by natural numbers, each of which has an integer coefficient.
Index 0 is reserved for constants, i.e. `coeffs.find 0` is the coefficient of 1.
The represented term is coeffs.keys.sum (λ i, coeffs.find i * Var[i]).
str determines the direction of the comparison -- is it < 0, ≤ 0, or = 0?
-/
meta structure comp :=
(str : ineq)
(coeffs : rb_map ℕ int)
meta instance : inhabited comp := ⟨⟨ineq.eq, mk_rb_map⟩⟩
meta inductive comp_source
| assump : ℕ → comp_source
| add : comp_source → comp_source → comp_source
| scale : ℕ → comp_source → comp_source
meta def comp_source.flatten : comp_source → rb_map ℕ ℕ
| (comp_source.assump n) := mk_rb_map.insert n 1
| (comp_source.add c1 c2) := (comp_source.flatten c1).add (comp_source.flatten c2)
| (comp_source.scale n c) := (comp_source.flatten c).map (λ v, v * n)
meta def comp_source.to_string : comp_source → string
| (comp_source.assump e) := to_string e
| (comp_source.add c1 c2) := comp_source.to_string c1 ++ " + " ++ comp_source.to_string c2
| (comp_source.scale n c) := to_string n ++ " * " ++ comp_source.to_string c
meta instance comp_source.has_to_format : has_to_format comp_source :=
⟨λ a, comp_source.to_string a⟩
meta structure pcomp :=
(c : comp)
(src : comp_source)
meta def map_lt (m1 m2 : rb_map ℕ int) : bool :=
list.lex (prod.lex (<) (<)) m1.to_list m2.to_list
-- make more efficient
meta def comp.lt (c1 c2 : comp) : bool :=
(c1.str.is_lt c2.str) || (c1.str = c2.str) && map_lt c1.coeffs c2.coeffs
meta instance comp.has_lt : has_lt comp := ⟨λ a b, comp.lt a b⟩
meta instance pcomp.has_lt : has_lt pcomp := ⟨λ p1 p2, p1.c < p2.c⟩
meta instance pcomp.has_lt_dec : decidable_rel ((<) : pcomp → pcomp → Prop) := by apply_instance
meta def comp.coeff_of (c : comp) (a : ℕ) : ℤ :=
c.coeffs.zfind a
meta def comp.scale (c : comp) (n : ℕ) : comp :=
{ c with coeffs := c.coeffs.map ((*) (n : ℤ)) }
meta def comp.add (c1 c2 : comp) : comp :=
⟨c1.str.max c2.str, c1.coeffs.add c2.coeffs⟩
meta def pcomp.scale (c : pcomp) (n : ℕ) : pcomp :=
⟨c.c.scale n, comp_source.scale n c.src⟩
meta def pcomp.add (c1 c2 : pcomp) : pcomp :=
⟨c1.c.add c2.c, comp_source.add c1.src c2.src⟩
meta instance pcomp.to_format : has_to_format pcomp :=
⟨λ p, to_fmt p.c.coeffs ++ to_string p.c.str ++ "0"⟩
meta instance comp.to_format : has_to_format comp :=
⟨λ p, to_fmt p.coeffs⟩
end datatypes
section fm_elim
/-- If c1 and c2 both contain variable a with opposite coefficients,
produces v1, v2, and c such that a has been cancelled in c := v1*c1 + v2*c2 -/
meta def elim_var (c1 c2 : comp) (a : ℕ) : option (ℕ × ℕ × comp) :=
let v1 := c1.coeff_of a,
v2 := c2.coeff_of a in
if v1 * v2 < 0 then
let vlcm := nat.lcm v1.nat_abs v2.nat_abs,
v1' := vlcm / v1.nat_abs,
v2' := vlcm / v2.nat_abs in
some ⟨v1', v2', comp.add (c1.scale v1') (c2.scale v2')⟩
else none
meta def pelim_var (p1 p2 : pcomp) (a : ℕ) : option pcomp :=
do (n1, n2, c) ← elim_var p1.c p2.c a,
return ⟨c, comp_source.add (p1.src.scale n1) (p2.src.scale n2)⟩
meta def comp.is_contr (c : comp) : bool := c.coeffs.empty ∧ c.str = ineq.lt
meta def pcomp.is_contr (p : pcomp) : bool := p.c.is_contr
meta def elim_with_set (a : ℕ) (p : pcomp) (comps : rb_set pcomp) : rb_set pcomp :=
if ¬ p.c.coeffs.contains a then mk_rb_set.insert p else
comps.fold mk_rb_set $ λ pc s,
match pelim_var p pc a with
| some pc := s.insert pc
| none := s
end
/--
The state for the elimination monad.
vars: the set of variables present in comps
comps: a set of comparisons
inputs: a set of pairs of exprs (t, pf), where t is a term and pf is a proof that t {<, ≤, =} 0,
indexed by ℕ.
has_false: stores a pcomp of 0 < 0 if one has been found
TODO: is it more efficient to store comps as a list, to avoid comparisons?
-/
meta structure linarith_structure :=
(vars : rb_set ℕ)
(comps : rb_set pcomp)
@[reducible] meta def linarith_monad :=
state_t linarith_structure (except_t pcomp id)
meta instance : monad linarith_monad := state_t.monad
meta instance : monad_except pcomp linarith_monad :=
state_t.monad_except pcomp
meta def get_vars : linarith_monad (rb_set ℕ) :=
linarith_structure.vars <$> get
meta def get_var_list : linarith_monad (list ℕ) :=
rb_set.to_list <$> get_vars
meta def get_comps : linarith_monad (rb_set pcomp) :=
linarith_structure.comps <$> get
meta def validate : linarith_monad unit :=
do ⟨_, comps⟩ ← get,
match comps.to_list.find (λ p : pcomp, p.is_contr) with
| none := return ()
| some c := throw c
end
meta def update (vars : rb_set ℕ) (comps : rb_set pcomp) : linarith_monad unit :=
state_t.put ⟨vars, comps⟩ >> validate
meta def monad.elim_var (a : ℕ) : linarith_monad unit :=
do vs ← get_vars,
when (vs.contains a) $
do comps ← get_comps,
let cs' := comps.fold mk_rb_set (λ p s, s.union (elim_with_set a p comps)),
update (vs.erase a) cs'
meta def elim_all_vars : linarith_monad unit :=
get_var_list >>= list.mmap' monad.elim_var
end fm_elim
section parse
open ineq tactic
meta def map_of_expr_mul_aux (c1 c2 : rb_map ℕ ℤ) : option (rb_map ℕ ℤ) :=
match c1.keys, c2.keys with
| [0], _ := some $ c2.scale (c1.zfind 0)
| _, [0] := some $ c1.scale (c2.zfind 0)
| [], _ := some mk_rb_map
| _, [] := some mk_rb_map
| _, _ := none
end
/--
Turns an expression into a map from ℕ to ℤ, for use in a comp object.
The expr_map ℕ argument identifies which expressions have already been assigned numbers.
Returns a new map.
-/
meta def map_of_expr : expr_map ℕ → expr → option (expr_map ℕ × rb_map ℕ ℤ)
| m e@`(%%e1 * %%e2) :=
(do (m', comp1) ← map_of_expr m e1,
(m', comp2) ← map_of_expr m' e2,
mp ← map_of_expr_mul_aux comp1 comp2,
return (m', mp)) <|>
(match m.find e with
| some k := return (m, mk_rb_map.insert k 1)
| none := let n := m.size + 1 in return (m.insert e n, mk_rb_map.insert n 1)
end)
| m `(%%e1 + %%e2) :=
do (m', comp1) ← map_of_expr m e1,
(m', comp2) ← map_of_expr m' e2,
return (m', comp1.add comp2)
| m `(%%e1 - %%e2) :=
do (m', comp1) ← map_of_expr m e1,
(m', comp2) ← map_of_expr m' e2,
return (m', comp1.add (comp2.scale (-1)))
| m `(-%%e) := do (m', comp) ← map_of_expr m e, return (m', comp.scale (-1))
| m e :=
match e.to_int, m.find e with
| some 0, _ := return ⟨m, mk_rb_map⟩
| some z, _ := return ⟨m, mk_rb_map.insert 0 z⟩
| none, some k := return (m, mk_rb_map.insert k 1)
| none, none := let n := m.size + 1 in
return (m.insert e n, mk_rb_map.insert n 1)
end
meta def parse_into_comp_and_expr : expr → option (ineq × expr)
| `(%%e < 0) := (ineq.lt, e)
| `(%%e ≤ 0) := (ineq.le, e)
| `(%%e = 0) := (ineq.eq, e)
| _ := none
meta def to_comp (e : expr) (m : expr_map ℕ) : option (comp × expr_map ℕ) :=
do (iq, e) ← parse_into_comp_and_expr e,
(m', comp') ← map_of_expr m e,
return ⟨⟨iq, comp'⟩, m'⟩
meta def to_comp_fold : expr_map ℕ → list expr →
(list (option comp) × expr_map ℕ)
| m [] := ([], m)
| m (h::t) :=
match to_comp h m with
| some (c, m') := let (l, mp) := to_comp_fold m' t in (c::l, mp)
| none := let (l, mp) := to_comp_fold m t in (none::l, mp)
end
/--
Takes a list of proofs of props of the form t {<, ≤, =} 0, and creates a linarith_structure.
-/
meta def mk_linarith_structure (l : list expr) : tactic (linarith_structure × rb_map ℕ (expr × expr)) :=
do pftps ← l.mmap infer_type,
let (l', map) := to_comp_fold mk_rb_map pftps,
let lz := list.enum $ ((l.zip pftps).zip l').filter_map (λ ⟨a, b⟩, prod.mk a <$> b),
let prmap := rb_map.of_list $ lz.map (λ ⟨n, x⟩, (n, x.1)),
let vars : rb_set ℕ := rb_map.set_of_list $ list.range map.size.succ,
let pc : rb_set pcomp := rb_map.set_of_list $
lz.map (λ ⟨n, x⟩, ⟨x.2, comp_source.assump n⟩),
return (⟨vars, pc⟩, prmap)
meta def linarith_monad.run {α} (tac : linarith_monad α) (l : list expr) : tactic ((pcomp ⊕ α) × rb_map ℕ (expr × expr)) :=
do (struct, inputs) ← mk_linarith_structure l,
match (state_t.run (validate >> tac) struct).run with
| (except.ok (a, _)) := return (sum.inr a, inputs)
| (except.error contr) := return (sum.inl contr, inputs)
end
end parse
section prove
open ineq tactic
meta def get_rel_sides : expr → tactic (expr × expr)
| `(%%a < %%b) := return (a, b)
| `(%%a ≤ %%b) := return (a, b)
| `(%%a = %%b) := return (a, b)
| `(%%a ≥ %%b) := return (a, b)
| `(%%a > %%b) := return (a, b)
| _ := failed
meta def mul_expr (n : ℕ) (e : expr) : pexpr :=
if n = 1 then ``(%%e) else
``(%%(nat.to_pexpr n) * %%e)
meta def add_exprs_aux : pexpr → list pexpr → pexpr
| p [] := p
| p [a] := ``(%%p + %%a)
| p (h::t) := add_exprs_aux ``(%%p + %%h) t
meta def add_exprs : list pexpr → pexpr
| [] := ``(0)
| (h::t) := add_exprs_aux h t
meta def find_contr (m : rb_set pcomp) : option pcomp :=
m.keys.find (λ p, p.c.is_contr)
meta def ineq_const_mul_nm : ineq → name
| lt := ``mul_neg
| le := ``mul_nonpos
| eq := ``mul_eq
meta def ineq_const_nm : ineq → ineq → (name × ineq)
| eq eq := (``eq_of_eq_of_eq, eq)
| eq le := (``le_of_eq_of_le, le)
| eq lt := (``lt_of_eq_of_lt, lt)
| le eq := (``le_of_le_of_eq, le)
| le le := (`add_nonpos, le)
| le lt := (`add_neg_of_nonpos_of_neg, lt)
| lt eq := (``lt_of_lt_of_eq, lt)
| lt le := (`add_neg_of_neg_of_nonpos, lt)
| lt lt := (`add_neg, lt)
meta def mk_single_comp_zero_pf (c : ℕ) (h : expr) : tactic (ineq × expr) :=
do tp ← infer_type h,
some (iq, e) ← return $ parse_into_comp_and_expr tp,
if c = 0 then
do e' ← mk_app ``zero_mul [e], return (eq, e')
else if c = 1 then return (iq, h)
else
do nm ← resolve_name (ineq_const_mul_nm iq),
tp ← (prod.snd <$> (infer_type h >>= get_rel_sides)) >>= infer_type,
cpos ← to_expr ``((%%c.to_pexpr : %%tp) > 0),
(_, ex) ← solve_aux cpos `[norm_num, done],
-- e' ← mk_app (ineq_const_mul_nm iq) [h, ex], -- this takes many seconds longer in some examples! why?
e' ← to_expr ``(%%nm %%h %%ex) ff,
return (iq, e')
meta def mk_lt_zero_pf_aux (c : ineq) (pf npf : expr) (coeff : ℕ) : tactic (ineq × expr) :=
do (iq, h') ← mk_single_comp_zero_pf coeff npf,
let (nm, niq) := ineq_const_nm c iq,
n ← resolve_name nm,
e' ← to_expr ``(%%n %%pf %%h'),
return (niq, e')
/--
Takes a list of coefficients [c] and list of expressions, of equal length.
Each expression is a proof of a prop of the form t {<, ≤, =} 0.
Produces a proof that the sum of (c*t) {<, ≤, =} 0, where the comp is as strong as possible.
-/
meta def mk_lt_zero_pf : list ℕ → list expr → tactic expr
| _ [] := fail "no linear hypotheses found"
| [c] [h] := prod.snd <$> mk_single_comp_zero_pf c h
| (c::ct) (h::t) :=
do (iq, h') ← mk_single_comp_zero_pf c h,
prod.snd <$> (ct.zip t).mfoldl (λ pr ce, mk_lt_zero_pf_aux pr.1 pr.2 ce.2 ce.1) (iq, h')
| _ _ := fail "not enough args to mk_lt_zero_pf"
meta def term_of_ineq_prf (prf : expr) : tactic expr :=
do (lhs, _) ← infer_type prf >>= get_rel_sides,
return lhs
meta structure linarith_config :=
(discharger : tactic unit := `[ring])
(restrict_type : option Type := none)
(restrict_type_reflect : reflected restrict_type . apply_instance)
(exfalso : bool := tt)
meta def ineq_pf_tp (pf : expr) : tactic expr :=
do (_, z) ← infer_type pf >>= get_rel_sides,
infer_type z
meta def mk_neg_one_lt_zero_pf (tp : expr) : tactic expr :=
to_expr ``((neg_neg_of_pos zero_lt_one : -1 < (0 : %%tp)))
/--
Assumes e is a proof that t = 0. Creates a proof that -t = 0.
-/
meta def mk_neg_eq_zero_pf (e : expr) : tactic expr :=
to_expr ``(neg_eq_zero.mpr %%e)
meta def add_neg_eq_pfs : list expr → tactic (list expr)
| [] := return []
| (h::t) :=
do some (iq, tp) ← parse_into_comp_and_expr <$> infer_type h,
match iq with
| ineq.eq := do nep ← mk_neg_eq_zero_pf h, tl ← add_neg_eq_pfs t, return $ h::nep::tl
| _ := list.cons h <$> add_neg_eq_pfs t
end
/--
Takes a list of proofs of propositions of the form t {<, ≤, =} 0,
and tries to prove the goal `false`.
-/
meta def prove_false_by_linarith1 (cfg : linarith_config) : list expr → tactic unit
| [] := fail "no args to linarith"
| l@(h::t) :=
do l' ← add_neg_eq_pfs l,
hz ← ineq_pf_tp h >>= mk_neg_one_lt_zero_pf,
(sum.inl contr, inputs) ← elim_all_vars.run (hz::l')
| fail "linarith failed to find a contradiction",
let coeffs := inputs.keys.map (λ k, (contr.src.flatten.ifind k)),
let pfs : list expr := inputs.keys.map (λ k, (inputs.ifind k).1),
let zip := (coeffs.zip pfs).filter (λ pr, pr.1 ≠ 0),
let (coeffs, pfs) := zip.unzip,
mls ← zip.mmap (λ pr, do e ← term_of_ineq_prf pr.2, return (mul_expr pr.1 e)),
sm ← to_expr $ add_exprs mls,
tgt ← to_expr ``(%%sm = 0),
(a, b) ← solve_aux tgt (cfg.discharger >> done),
pf ← mk_lt_zero_pf coeffs pfs,
pftp ← infer_type pf,
(_, nep, _) ← rewrite_core b pftp,
pf' ← mk_eq_mp nep pf,
mk_app `lt_irrefl [pf'] >>= exact
end prove
section normalize
open tactic
set_option eqn_compiler.max_steps 50000
meta def rem_neg (prf : expr) : expr → tactic expr
| `(_ ≤ _) := to_expr ``(lt_of_not_ge %%prf)
| `(_ < _) := to_expr ``(le_of_not_gt %%prf)
| `(_ > _) := to_expr ``(le_of_not_gt %%prf)
| `(_ ≥ _) := to_expr ``(lt_of_not_ge %%prf)
| e := failed
meta def rearr_comp : expr → expr → tactic expr
| prf `(%%a ≤ 0) := return prf
| prf `(%%a < 0) := return prf
| prf `(%%a = 0) := return prf
| prf `(%%a ≥ 0) := to_expr ``(neg_nonpos.mpr %%prf)
| prf `(%%a > 0) := to_expr ``(neg_neg_of_pos %%prf)
| prf `(0 ≥ %%a) := to_expr ``(show %%a ≤ 0, from %%prf)
| prf `(0 > %%a) := to_expr ``(show %%a < 0, from %%prf)
| prf `(0 = %%a) := to_expr ``(eq.symm %%prf)
| prf `(0 ≤ %%a) := to_expr ``(neg_nonpos.mpr %%prf)
| prf `(0 < %%a) := to_expr ``(neg_neg_of_pos %%prf)
| prf `(%%a ≤ %%b) := to_expr ``(sub_nonpos.mpr %%prf)
| prf `(%%a < %%b) := to_expr ``(sub_neg_of_lt %%prf)
| prf `(%%a = %%b) := to_expr ``(sub_eq_zero.mpr %%prf)
| prf `(%%a > %%b) := to_expr ``(sub_neg_of_lt %%prf)
| prf `(%%a ≥ %%b) := to_expr ``(sub_nonpos.mpr %%prf)
| prf `(¬ %%t) := do nprf ← rem_neg prf t, tp ← infer_type nprf, rearr_comp nprf tp
| prf _ := fail "couldn't rearrange comp"
meta def is_numeric : expr → option ℚ
| `(%%e1 + %%e2) := (+) <$> is_numeric e1 <*> is_numeric e2
| `(%%e1 - %%e2) := has_sub.sub <$> is_numeric e1 <*> is_numeric e2
| `(%%e1 * %%e2) := (*) <$> is_numeric e1 <*> is_numeric e2
| `(%%e1 / %%e2) := (/) <$> is_numeric e1 <*> is_numeric e2
| `(-%%e) := rat.neg <$> is_numeric e
| e := e.to_rat
inductive {u} tree (α : Type u) : Type u
| nil {} : tree
| node : α → tree → tree → tree
def tree.repr {α} [has_repr α] : tree α → string
| tree.nil := "nil"
| (tree.node a t1 t2) := "tree.node " ++ repr a ++ " (" ++ tree.repr t1 ++ ") (" ++ tree.repr t2 ++ ")"
instance {α} [has_repr α] : has_repr (tree α) := ⟨tree.repr⟩
meta def find_cancel_factor : expr → ℕ × tree ℕ
| `(%%e1 + %%e2) :=
let (v1, t1) := find_cancel_factor e1, (v2, t2) := find_cancel_factor e2, lcm := v1.lcm v2 in
(lcm, tree.node lcm t1 t2)
| `(%%e1 - %%e2) :=
let (v1, t1) := find_cancel_factor e1, (v2, t2) := find_cancel_factor e2, lcm := v1.lcm v2 in
(lcm, tree.node lcm t1 t2)
| `(%%e1 * %%e2) :=
match is_numeric e1, is_numeric e2 with
| none, none := (1, tree.node 1 tree.nil tree.nil)
| _, _ :=
let (v1, t1) := find_cancel_factor e1, (v2, t2) := find_cancel_factor e2, pd := v1*v2 in
(pd, tree.node pd t1 t2)
end
| `(%%e1 / %%e2) :=
match is_numeric e2 with
| some q := let (v1, t1) := find_cancel_factor e1, n := v1.lcm q.num.nat_abs in
(n, tree.node n t1 (tree.node q.num.nat_abs tree.nil tree.nil))
| none := (1, tree.node 1 tree.nil tree.nil)
end
| `(-%%e) := find_cancel_factor e
| _ := (1, tree.node 1 tree.nil tree.nil)
open tree
meta def mk_prod_prf : ℕ → tree ℕ → expr → tactic expr
| v (node _ lhs rhs) `(%%e1 + %%e2) :=
do v1 ← mk_prod_prf v lhs e1, v2 ← mk_prod_prf v rhs e2, mk_app ``add_subst [v1, v2]
| v (node _ lhs rhs) `(%%e1 - %%e2) :=
do v1 ← mk_prod_prf v lhs e1, v2 ← mk_prod_prf v rhs e2, mk_app ``sub_subst [v1, v2]
| v (node n lhs@(node ln _ _) rhs) `(%%e1 * %%e2) :=
do tp ← infer_type e1, v1 ← mk_prod_prf ln lhs e1, v2 ← mk_prod_prf (v/ln) rhs e2,
ln' ← tp.of_nat ln, vln' ← tp.of_nat (v/ln), v' ← tp.of_nat v,
ntp ← to_expr ``(%%ln' * %%vln' = %%v'),
(_, npf) ← solve_aux ntp `[norm_num, done],
mk_app ``mul_subst [v1, v2, npf]
| v (node n lhs rhs@(node rn _ _)) `(%%e1 / %%e2) :=
do tp ← infer_type e1, v1 ← mk_prod_prf (v/rn) lhs e1,
rn' ← tp.of_nat rn, vrn' ← tp.of_nat (v/rn), n' ← tp.of_nat n, v' ← tp.of_nat v,
ntp ← to_expr ``(%%rn' / %%e2 = 1),
(_, npf) ← solve_aux ntp `[norm_num, done],
ntp2 ← to_expr ``(%%vrn' * %%n' = %%v'),
(_, npf2) ← solve_aux ntp2 `[norm_num, done],
mk_app ``div_subst [v1, npf, npf2]
| v t `(-%%e) := do v' ← mk_prod_prf v t e, mk_app ``neg_subst [v']
| v _ e :=
do tp ← infer_type e,
v' ← tp.of_nat v,
e' ← to_expr ``(%%v' * %%e),
mk_app `eq.refl [e']
/--
e is a term with rational division. produces a natural number n and a proof that n*e = e',
where e' has no division.
-/
meta def kill_factors (e : expr) : tactic (ℕ × expr) :=
let (n, t) := find_cancel_factor e in
do e' ← mk_prod_prf n t e, return (n, e')
open expr
meta def expr_contains (n : name) : expr → bool
| (const nm _) := nm = n
| (lam _ _ _ bd) := expr_contains bd
| (pi _ _ _ bd) := expr_contains bd
| (app e1 e2) := expr_contains e1 || expr_contains e2
| _ := ff
lemma sub_into_lt {α} [ordered_semiring α] {a b : α} (he : a = b) (hl : a ≤ 0) : b ≤ 0 :=
by rwa he at hl
meta def norm_hyp_aux (h' lhs : expr) : tactic expr :=
do (v, lhs') ← kill_factors lhs,
if v = 1 then return h' else do
(ih, h'') ← mk_single_comp_zero_pf v h',
(_, nep, _) ← infer_type h'' >>= rewrite_core lhs',
mk_eq_mp nep h''
meta def norm_hyp (h : expr) : tactic expr :=
do htp ← infer_type h,
h' ← rearr_comp h htp,
some (c, lhs) ← parse_into_comp_and_expr <$> infer_type h',
if expr_contains `has_div.div lhs then
norm_hyp_aux h' lhs
else return h'
meta def get_contr_lemma_name : expr → option name
| `(%%a < %%b) := return `lt_of_not_ge
| `(%%a ≤ %%b) := return `le_of_not_gt
| `(%%a = %%b) := return ``eq_of_not_lt_of_not_gt
| `(%%a ≥ %%b) := return `le_of_not_gt
| `(%%a > %%b) := return `lt_of_not_ge
| `(¬ %%a < %%b) := return `not.intro
| `(¬ %%a ≤ %%b) := return `not.intro
| `(¬ %%a = %%b) := return `not.intro
| `(¬ %%a ≥ %%b) := return `not.intro
| `(¬ %%a > %%b) := return `not.intro
| _ := none
-- assumes the input t is of type ℕ. Produces t' of type ℤ such that ↑t = t' and a proof of equality
meta def cast_expr (e : expr) : tactic (expr × expr) :=
do s ← [`int.coe_nat_add, `int.coe_nat_zero, `int.coe_nat_one,
``int.coe_nat_bit0_mul, ``int.coe_nat_bit1_mul, ``int.coe_nat_zero_mul, ``int.coe_nat_one_mul,
``int.coe_nat_mul_bit0, ``int.coe_nat_mul_bit1, ``int.coe_nat_mul_zero, ``int.coe_nat_mul_one,
``int.coe_nat_bit0, ``int.coe_nat_bit1].mfoldl simp_lemmas.add_simp simp_lemmas.mk,
ce ← to_expr ``(↑%%e : ℤ),
simplify s [] ce {fail_if_unchanged := ff}
meta def is_nat_int_coe : expr → option expr
| `((↑(%%n : ℕ) : ℤ)) := some n
| _ := none
meta def mk_coe_nat_nonneg_prf (e : expr) : tactic expr :=
mk_app `int.coe_nat_nonneg [e]
meta def get_nat_comps : expr → list expr
| `(%%a + %%b) := (get_nat_comps a).append (get_nat_comps b)
| `(%%a * %%b) := (get_nat_comps a).append (get_nat_comps b)
| e := match is_nat_int_coe e with
| some e' := [e']
| none := []
end
meta def mk_coe_nat_nonneg_prfs (e : expr) : tactic (list expr) :=
(get_nat_comps e).mmap mk_coe_nat_nonneg_prf
meta def mk_cast_eq_and_nonneg_prfs (pf a b : expr) (ln : name) : tactic (list expr) :=
do (a', prfa) ← cast_expr a,
(b', prfb) ← cast_expr b,
la ← mk_coe_nat_nonneg_prfs a',
lb ← mk_coe_nat_nonneg_prfs b',
pf' ← mk_app ln [pf, prfa, prfb],
return $ pf'::(la.append lb)
meta def mk_int_pfs_of_nat_pf (pf : expr) : tactic (list expr) :=
do tp ← infer_type pf,
match tp with
| `(%%a = %%b) := mk_cast_eq_and_nonneg_prfs pf a b ``nat_eq_subst
| `(%%a ≤ %%b) := mk_cast_eq_and_nonneg_prfs pf a b ``nat_le_subst
| `(%%a < %%b) := mk_cast_eq_and_nonneg_prfs pf a b ``nat_lt_subst
| `(%%a ≥ %%b) := mk_cast_eq_and_nonneg_prfs pf b a ``nat_le_subst
| `(%%a > %%b) := mk_cast_eq_and_nonneg_prfs pf b a ``nat_lt_subst
| `(¬ %%a ≤ %%b) := do pf' ← mk_app ``lt_of_not_ge [pf], mk_cast_eq_and_nonneg_prfs pf' b a ``nat_lt_subst
| `(¬ %%a < %%b) := do pf' ← mk_app ``le_of_not_gt [pf], mk_cast_eq_and_nonneg_prfs pf' b a ``nat_le_subst
| `(¬ %%a ≥ %%b) := do pf' ← mk_app ``lt_of_not_ge [pf], mk_cast_eq_and_nonneg_prfs pf' a b ``nat_lt_subst
| `(¬ %%a > %%b) := do pf' ← mk_app ``le_of_not_gt [pf], mk_cast_eq_and_nonneg_prfs pf' a b ``nat_le_subst
| _ := fail "mk_int_pfs_of_nat_pf failed: proof is not an inequality"
end
meta def mk_non_strict_int_pf_of_strict_int_pf (pf : expr) : tactic expr :=
do tp ← infer_type pf,
match tp with
| `(%%a < %%b) := to_expr ``(@cast (%%a < %%b) (%%a + 1 ≤ %%b) (by refl) %%pf)
| `(%%a > %%b) := to_expr ``(@cast (%%a > %%b) (%%a ≥ %%b + 1) (by refl) %%pf)
| `(¬ %%a ≤ %%b) := to_expr ``(@cast (%%a > %%b) (%%a ≥ %%b + 1) (by refl) (lt_of_not_ge %%pf))
| `(¬ %%a ≥ %%b) := to_expr ``(@cast (%%a < %%b) (%%a + 1 ≤ %%b) (by refl) (lt_of_not_ge %%pf))
| _ := fail "mk_non_strict_int_pf_of_strict_int_pf failed: proof is not an inequality"
end
meta def guard_is_nat_prop : expr → tactic unit
| `(%%a = _) := infer_type a >>= unify `(ℕ)
| `(%%a ≤ _) := infer_type a >>= unify `(ℕ)
| `(%%a < _) := infer_type a >>= unify `(ℕ)
| `(%%a ≥ _) := infer_type a >>= unify `(ℕ)
| `(%%a > _) := infer_type a >>= unify `(ℕ)
| `(¬ %%p) := guard_is_nat_prop p
| _ := failed
meta def guard_is_strict_int_prop : expr → tactic unit
| `(%%a < _) := infer_type a >>= unify `(ℤ)
| `(%%a > _) := infer_type a >>= unify `(ℤ)
| `(¬ %%a ≤ _) := infer_type a >>= unify `(ℤ)
| `(¬ %%a ≥ _) := infer_type a >>= unify `(ℤ)
| _ := failed
meta def replace_nat_pfs : list expr → tactic (list expr)
| [] := return []
| (h::t) :=
(do infer_type h >>= guard_is_nat_prop,
ls ← mk_int_pfs_of_nat_pf h,
list.append ls <$> replace_nat_pfs t) <|> list.cons h <$> replace_nat_pfs t
meta def replace_strict_int_pfs : list expr → tactic (list expr)
| [] := return []
| (h::t) :=
(do infer_type h >>= guard_is_strict_int_prop,
l ← mk_non_strict_int_pf_of_strict_int_pf h,
list.cons l <$> replace_strict_int_pfs t) <|> list.cons h <$> replace_strict_int_pfs t
meta def partition_by_type_aux : rb_lmap expr expr → list expr → tactic (rb_lmap expr expr)
| m [] := return m
| m (h::t) := do tp ← ineq_pf_tp h, partition_by_type_aux (m.insert tp h) t
meta def partition_by_type (l : list expr) : tactic (rb_lmap expr expr) :=
partition_by_type_aux mk_rb_map l
private meta def try_linarith_on_lists (cfg : linarith_config) (ls : list (list expr)) : tactic unit :=
(first $ ls.map $ prove_false_by_linarith1 cfg) <|> fail "linarith failed"
/--
Takes a list of proofs of propositions.
Filters out the proofs of linear (in)equalities,
and tries to use them to prove `false`.
If pref_type is given, starts by working over this type
-/
meta def prove_false_by_linarith (cfg : linarith_config) (pref_type : option expr) (l : list expr) : tactic unit :=
do l' ← replace_nat_pfs l,
l'' ← replace_strict_int_pfs l',
ls ← list.reduce_option <$> l''.mmap (λ h, (do s ← norm_hyp h, return (some s)) <|> return none)
>>= partition_by_type,
pref_type ← (unify pref_type.iget `(ℕ) >> return (some `(ℤ) : option expr)) <|> return pref_type,
match cfg.restrict_type, ls.values, pref_type with
| some rtp, _, _ :=
do m ← mk_mvar, unify `(some %%m : option Type) cfg.restrict_type_reflect, m ← instantiate_mvars m,
prove_false_by_linarith1 cfg (ls.ifind m)
| none, [ls'], _ := prove_false_by_linarith1 cfg ls'
| none, ls', none := try_linarith_on_lists cfg ls'
| none, _, (some t) := prove_false_by_linarith1 cfg (ls.ifind t) <|> try_linarith_on_lists cfg (ls.erase t).values
end
end normalize
end linarith
section
open tactic linarith
open lean lean.parser interactive tactic interactive.types
local postfix `?`:9001 := optional
local postfix *:9001 := many
meta def linarith.interactive_aux (cfg : linarith_config) : option expr →
parse ident* → (parse (tk "using" *> pexpr_list)?) → tactic unit
| pt l (some pe) := pe.mmap (λ p, i_to_expr p >>= note_anon) >> linarith.interactive_aux pt l none
| pt [] none :=
do t ← target,
if t = `(false) then local_context >>= prove_false_by_linarith cfg pt
else match get_contr_lemma_name t with
| some nm := seq (applyc nm) (do t ← intro1 >>= ineq_pf_tp, linarith.interactive_aux (some t) [] none)
| none := if cfg.exfalso then exfalso >> linarith.interactive_aux pt [] none
else fail "linarith failed: target type is not an inequality."
end
| pt ls none := (ls.mmap get_local) >>= prove_false_by_linarith cfg pt
/--
Tries to prove a goal of `false` by linear arithmetic on hypotheses.
If the goal is a linear (in)equality, tries to prove it by contradiction.
If the goal is not `false` or an inequality, applies `exfalso` and tries linarith on the
hypotheses.
`linarith` will use all relevant hypotheses in the local context.
`linarith h1 h2 h3` will only use hypotheses h1, h2, h3.
`linarith using [t1, t2, t3]` will add proof terms t1, t2, t3 to the local context.
Config options:
`linarith {exfalso := ff}` will fail on a goal that is neither an inequality nor `false`
`linarith {restrict_type := T}` will run only on hypotheses that are inequalities over `T`
`linarith {discharger := tac}` will use `tac` instead of `ring` for normalization.
Options: `ring2`, `ring SOP`, `simp`
-/
meta def tactic.interactive.linarith (ids : parse (many ident))
(using_hyps : parse (tk "using" *> pexpr_list)?) (cfg : linarith_config := {}) : tactic unit :=
linarith.interactive_aux cfg none ids using_hyps
end
|
95e29d0be07742962e61cf746cc857c91e78446a | 8e6cad62ec62c6c348e5faaa3c3f2079012bdd69 | /src/algebra/group_power/basic.lean | df7acba22a56b19dfb1122fd3c88f853359e9914 | [
"Apache-2.0"
] | permissive | benjamindavidson/mathlib | 8cc81c865aa8e7cf4462245f58d35ae9a56b150d | fad44b9f670670d87c8e25ff9cdf63af87ad731e | refs/heads/master | 1,679,545,578,362 | 1,615,343,014,000 | 1,615,343,014,000 | 312,926,983 | 0 | 0 | Apache-2.0 | 1,615,360,301,000 | 1,605,399,418,000 | Lean | UTF-8 | Lean | false | false | 26,397 | 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.ordered_ring
import tactic.monotonicity.basic
import deprecated.group
/-!
# Power operations on monoids and groups
The power operation on monoids and groups.
We separate this from group, because it depends on `ℕ`,
which in turn depends on other parts of algebra.
This module contains the definitions of `monoid.pow` and `group.pow`
and their additive counterparts `nsmul` and `gsmul`, along with a few lemmas.
Further lemmas can be found in `algebra.group_power.lemmas`.
## Notation
The class `has_pow α β` provides the notation `a^b` for powers.
We define instances of `has_pow M ℕ`, for monoids `M`, and `has_pow G ℤ` for groups `G`.
We also define infix operators `•ℕ` and `•ℤ` for scalar multiplication by a natural and an integer
numbers, respectively.
## Implementation details
We adopt the convention that `0^0 = 1`.
This module provides the instance `has_pow ℕ ℕ` (via `monoid.has_pow`)
and is imported by `data.nat.basic`, so it has to live low in the import hierarchy.
Not all of its imports are needed yet; the intent is to move more lemmas here from `.lemmas`
so that they are available in `data.nat.basic`, and the imports will be required then.
-/
universes u v w x y z u₁ u₂
variables {M : Type u} {N : Type v} {G : Type w} {H : Type x} {A : Type y} {B : Type z}
{R : Type u₁} {S : Type u₂}
/-- The power operation in a monoid. `a^n = a*a*...*a` n times. -/
def monoid.pow [has_mul M] [has_one M] (a : M) : ℕ → M
| 0 := 1
| (n+1) := a * monoid.pow n
/-- The scalar multiplication in an additive monoid.
`n •ℕ a = a+a+...+a` n times. -/
def nsmul [has_add A] [has_zero A] (n : ℕ) (a : A) : A :=
@monoid.pow (multiplicative A) _ _ a n
infix ` •ℕ `:70 := nsmul
instance monoid.has_pow [monoid M] : has_pow M ℕ := ⟨monoid.pow⟩
@[simp] lemma monoid.pow_eq_has_pow [monoid M] (a : M) (n : ℕ) : monoid.pow a n = a^n := rfl
/-!
### Commutativity
First we prove some facts about `semiconj_by` and `commute`. They do not require any theory about
`pow` and/or `nsmul` and will be useful later in this file.
-/
namespace semiconj_by
variables [monoid M]
@[simp] lemma pow_right {a x y : M} (h : semiconj_by a x y) (n : ℕ) : semiconj_by a (x^n) (y^n) :=
nat.rec_on n (one_right a) $ λ n ihn, h.mul_right ihn
end semiconj_by
namespace commute
variables [monoid M] {a b : M}
@[simp] theorem pow_right (h : commute a b) (n : ℕ) : commute a (b ^ n) := h.pow_right n
@[simp] theorem pow_left (h : commute a b) (n : ℕ) : commute (a ^ n) b := (h.symm.pow_right n).symm
@[simp] theorem pow_pow (h : commute a b) (m n : ℕ) : commute (a ^ m) (b ^ n) :=
(h.pow_left m).pow_right n
@[simp] theorem self_pow (a : M) (n : ℕ) : commute a (a ^ n) := (commute.refl a).pow_right n
@[simp] theorem pow_self (a : M) (n : ℕ) : commute (a ^ n) a := (commute.refl a).pow_left n
@[simp] theorem pow_pow_self (a : M) (m n : ℕ) : commute (a ^ m) (a ^ n) :=
(commute.refl a).pow_pow m n
end commute
section monoid
variables [monoid M] [monoid N] [add_monoid A] [add_monoid B]
@[simp] theorem pow_zero (a : M) : a^0 = 1 := rfl
@[simp] theorem zero_nsmul (a : A) : 0 •ℕ a = 0 := rfl
theorem pow_succ (a : M) (n : ℕ) : a^(n+1) = a * a^n := rfl
theorem succ_nsmul (a : A) (n : ℕ) : (n+1) •ℕ a = a + n •ℕ a := rfl
theorem pow_two (a : M) : a^2 = a * a :=
show a*(a*1)=a*a, by rw mul_one
theorem two_nsmul (a : A) : 2 •ℕ a = a + a :=
@pow_two (multiplicative A) _ a
theorem pow_mul_comm' (a : M) (n : ℕ) : a^n * a = a * a^n := commute.pow_self a n
theorem nsmul_add_comm' : ∀ (a : A) (n : ℕ), n •ℕ a + a = a + n •ℕ a :=
@pow_mul_comm' (multiplicative A) _
theorem pow_succ' (a : M) (n : ℕ) : a^(n+1) = a^n * a :=
by rw [pow_succ, pow_mul_comm']
theorem succ_nsmul' (a : A) (n : ℕ) : (n+1) •ℕ a = n •ℕ a + a :=
@pow_succ' (multiplicative A) _ _ _
theorem pow_add (a : M) (m n : ℕ) : a^(m + n) = a^m * a^n :=
by induction n with n ih; [rw [nat.add_zero, pow_zero, mul_one],
rw [pow_succ', ← mul_assoc, ← ih, ← pow_succ', nat.add_assoc]]
theorem add_nsmul : ∀ (a : A) (m n : ℕ), (m + n) •ℕ a = m •ℕ a + n •ℕ a :=
@pow_add (multiplicative A) _
@[simp] theorem pow_one (a : M) : a^1 = a := mul_one _
@[simp] theorem one_nsmul (a : A) : 1 •ℕ a = a := add_zero _
@[simp] lemma pow_ite (P : Prop) [decidable P] (a : M) (b c : ℕ) :
a ^ (if P then b else c) = if P then a ^ b else a ^ c :=
by split_ifs; refl
@[simp] lemma ite_pow (P : Prop) [decidable P] (a b : M) (c : ℕ) :
(if P then a else b) ^ c = if P then a ^ c else b ^ c :=
by split_ifs; refl
@[simp] lemma pow_boole (P : Prop) [decidable P] (a : M) :
a ^ (if P then 1 else 0) = if P then a else 1 :=
by simp
@[simp] theorem one_pow (n : ℕ) : (1 : M)^n = 1 :=
by induction n with n ih; [refl, rw [pow_succ, ih, one_mul]]
@[simp] theorem nsmul_zero (n : ℕ) : n •ℕ (0 : A) = 0 :=
by induction n with n ih; [refl, rw [succ_nsmul, ih, zero_add]]
theorem pow_mul (a : M) (m n : ℕ) : a^(m * n) = (a^m)^n :=
by induction n with n ih; [rw nat.mul_zero, rw [nat.mul_succ, pow_add, pow_succ', ih]]; refl
theorem mul_nsmul' : ∀ (a : A) (m n : ℕ), m * n •ℕ a = n •ℕ (m •ℕ a) :=
@pow_mul (multiplicative A) _
theorem pow_mul' (a : M) (m n : ℕ) : a^(m * n) = (a^n)^m :=
by rw [nat.mul_comm, pow_mul]
theorem mul_nsmul (a : A) (m n : ℕ) : m * n •ℕ a = m •ℕ (n •ℕ a) :=
@pow_mul' (multiplicative A) _ a m n
theorem pow_mul_pow_sub (a : M) {m n : ℕ} (h : m ≤ n) : a ^ m * a ^ (n - m) = a ^ n :=
by rw [←pow_add, nat.add_comm, nat.sub_add_cancel h]
theorem nsmul_add_sub_nsmul (a : A) {m n : ℕ} (h : m ≤ n) : (m •ℕ a) + ((n - m) •ℕ a) = n •ℕ a :=
@pow_mul_pow_sub (multiplicative A) _ _ _ _ h
theorem pow_sub_mul_pow (a : M) {m n : ℕ} (h : m ≤ n) : a ^ (n - m) * a ^ m = a ^ n :=
by rw [←pow_add, nat.sub_add_cancel h]
theorem sub_nsmul_nsmul_add (a : A) {m n : ℕ} (h : m ≤ n) : ((n - m) •ℕ a) + (m •ℕ a) = n •ℕ a :=
@pow_sub_mul_pow (multiplicative A) _ _ _ _ h
theorem pow_bit0 (a : M) (n : ℕ) : a ^ bit0 n = a^n * a^n := pow_add _ _ _
theorem bit0_nsmul (a : A) (n : ℕ) : bit0 n •ℕ a = n •ℕ a + n •ℕ a := add_nsmul _ _ _
theorem pow_bit1 (a : M) (n : ℕ) : a ^ bit1 n = a^n * a^n * a :=
by rw [bit1, pow_succ', pow_bit0]
theorem bit1_nsmul : ∀ (a : A) (n : ℕ), bit1 n •ℕ a = n •ℕ a + n •ℕ a + a :=
@pow_bit1 (multiplicative A) _
theorem pow_mul_comm (a : M) (m n : ℕ) : a^m * a^n = a^n * a^m :=
commute.pow_pow_self a m n
theorem nsmul_add_comm : ∀ (a : A) (m n : ℕ), m •ℕ a + n •ℕ a = n •ℕ a + m •ℕ a :=
@pow_mul_comm (multiplicative A) _
@[simp] theorem monoid_hom.map_pow (f : M →* N) (a : M) : ∀(n : ℕ), f (a ^ n) = (f a) ^ n
| 0 := f.map_one
| (n+1) := by rw [pow_succ, pow_succ, f.map_mul, monoid_hom.map_pow]
@[simp] theorem add_monoid_hom.map_nsmul (f : A →+ B) (a : A) (n : ℕ) : f (n •ℕ a) = n •ℕ f a :=
f.to_multiplicative.map_pow a n
theorem is_monoid_hom.map_pow (f : M → N) [is_monoid_hom f] (a : M) :
∀(n : ℕ), f (a ^ n) = (f a) ^ n :=
(monoid_hom.of f).map_pow a
theorem is_add_monoid_hom.map_nsmul (f : A → B) [is_add_monoid_hom f] (a : A) (n : ℕ) :
f (n •ℕ a) = n •ℕ f a :=
(add_monoid_hom.of f).map_nsmul a n
lemma commute.mul_pow {a b : M} (h : commute a b) (n : ℕ) : (a * b) ^ n = a ^ n * b ^ n :=
nat.rec_on n (by simp) $ λ n ihn,
by simp only [pow_succ, ihn, ← mul_assoc, (h.pow_left n).right_comm]
theorem neg_pow [ring R] (a : R) (n : ℕ) : (- a) ^ n = (-1) ^ n * a ^ n :=
(neg_one_mul a) ▸ (commute.neg_one_left a).mul_pow n
theorem pow_bit0' (a : M) (n : ℕ) : a ^ bit0 n = (a * a) ^ n :=
by rw [pow_bit0, (commute.refl a).mul_pow]
theorem bit0_nsmul' (a : A) (n : ℕ) : bit0 n •ℕ a = n •ℕ (a + a) :=
@pow_bit0' (multiplicative A) _ _ _
theorem pow_bit1' (a : M) (n : ℕ) : a ^ bit1 n = (a * a) ^ n * a :=
by rw [bit1, pow_succ', pow_bit0']
theorem bit1_nsmul' : ∀ (a : A) (n : ℕ), bit1 n •ℕ a = n •ℕ (a + a) + a :=
@pow_bit1' (multiplicative A) _
@[simp] theorem neg_pow_bit0 [ring R] (a : R) (n : ℕ) : (- a) ^ (bit0 n) = a ^ (bit0 n) :=
by rw [pow_bit0', neg_mul_neg, pow_bit0']
@[simp] theorem neg_pow_bit1 [ring R] (a : R) (n : ℕ) : (- a) ^ (bit1 n) = - a ^ (bit1 n) :=
by simp only [bit1, pow_succ, neg_pow_bit0, neg_mul_eq_neg_mul]
end monoid
/-!
### Commutative (additive) monoid
-/
section comm_monoid
variables [comm_monoid M] [add_comm_monoid A]
theorem mul_pow (a b : M) (n : ℕ) : (a * b)^n = a^n * b^n :=
(commute.all a b).mul_pow n
theorem nsmul_add : ∀ (a b : A) (n : ℕ), n •ℕ (a + b) = n •ℕ a + n •ℕ b :=
@mul_pow (multiplicative A) _
instance pow.is_monoid_hom (n : ℕ) : is_monoid_hom ((^ n) : M → M) :=
{ map_mul := λ _ _, mul_pow _ _ _, map_one := one_pow _ }
instance nsmul.is_add_monoid_hom (n : ℕ) : is_add_monoid_hom (nsmul n : A → A) :=
{ map_add := λ _ _, nsmul_add _ _ _, map_zero := nsmul_zero _ }
lemma dvd_pow {x y : M} :
∀ {n : ℕ} (hxy : x ∣ y) (hn : n ≠ 0), x ∣ y^n
| 0 hxy hn := (hn rfl).elim
| (n+1) hxy hn := by { rw [pow_succ], exact dvd_mul_of_dvd_left hxy _ }
end comm_monoid
section group
variables [group G] [group H] [add_group A] [add_group B]
open int
/--
The power operation in a group. This extends `monoid.pow` to negative integers
with the definition `a^(-n) = (a^n)⁻¹`.
-/
def gpow (a : G) : ℤ → G
| (of_nat n) := a^n
| -[1+n] := (a^(nat.succ n))⁻¹
/--
The scalar multiplication by integers on an additive group.
This extends `nsmul` to negative integers
with the definition `(-n) •ℤ a = -(n •ℕ a)`.
-/
def gsmul (n : ℤ) (a : A) : A :=
@gpow (multiplicative A) _ a n
instance group.has_pow : has_pow G ℤ := ⟨gpow⟩
infix ` •ℤ `:70 := gsmul
@[simp] lemma group.gpow_eq_has_pow (a : G) (n : ℤ) : gpow a n = a ^ n := rfl
section nat
@[simp] theorem inv_pow (a : G) (n : ℕ) : (a⁻¹)^n = (a^n)⁻¹ :=
by induction n with n ih; [exact one_inv.symm,
rw [pow_succ', pow_succ, ih, mul_inv_rev]]
@[simp] theorem neg_nsmul : ∀ (a : A) (n : ℕ), n •ℕ (-a) = -(n •ℕ a) :=
@inv_pow (multiplicative A) _
theorem pow_sub (a : G) {m n : ℕ} (h : n ≤ m) : a^(m - n) = a^m * (a^n)⁻¹ :=
have h1 : m - n + n = m, from nat.sub_add_cancel h,
have h2 : a^(m - n) * a^n = a^m, by rw [←pow_add, h1],
eq_mul_inv_of_mul_eq h2
theorem nsmul_sub : ∀ (a : A) {m n : ℕ}, n ≤ m → (m - n) •ℕ a = m •ℕ a - n •ℕ a :=
by simpa only [sub_eq_add_neg] using @pow_sub (multiplicative A) _
theorem pow_inv_comm (a : G) (m n : ℕ) : (a⁻¹)^m * a^n = a^n * (a⁻¹)^m :=
(commute.refl a).inv_left.pow_pow m n
theorem nsmul_neg_comm : ∀ (a : A) (m n : ℕ), m •ℕ (-a) + n •ℕ a = n •ℕ a + m •ℕ (-a) :=
@pow_inv_comm (multiplicative A) _
end nat
@[simp] theorem gpow_coe_nat (a : G) (n : ℕ) : a ^ (n:ℤ) = a ^ n := rfl
@[simp] theorem gsmul_coe_nat (a : A) (n : ℕ) : n •ℤ a = n •ℕ a := rfl
theorem gpow_of_nat (a : G) (n : ℕ) : a ^ of_nat n = a ^ n := rfl
theorem gsmul_of_nat (a : A) (n : ℕ) : of_nat n •ℤ a = n •ℕ a := rfl
@[simp] theorem gpow_neg_succ_of_nat (a : G) (n : ℕ) : a ^ -[1+n] = (a ^ n.succ)⁻¹ := rfl
@[simp] theorem gsmul_neg_succ_of_nat (a : A) (n : ℕ) : -[1+n] •ℤ a = - (n.succ •ℕ a) := rfl
@[simp] theorem gpow_zero (a : G) : a ^ (0:ℤ) = 1 := rfl
@[simp] theorem zero_gsmul (a : A) : (0:ℤ) •ℤ a = 0 := rfl
@[simp] theorem gpow_one (a : G) : a ^ (1:ℤ) = a := pow_one a
@[simp] theorem one_gsmul (a : A) : (1:ℤ) •ℤ a = a := add_zero _
@[simp] theorem one_gpow : ∀ (n : ℤ), (1 : G) ^ n = 1
| (n : ℕ) := one_pow _
| -[1+ n] := show _⁻¹=(1:G), by rw [one_pow, one_inv]
@[simp] theorem gsmul_zero : ∀ (n : ℤ), n •ℤ (0 : A) = 0 :=
@one_gpow (multiplicative A) _
@[simp] theorem gpow_neg (a : G) : ∀ (n : ℤ), a ^ -n = (a ^ n)⁻¹
| (n+1:ℕ) := rfl
| 0 := one_inv.symm
| -[1+ n] := (inv_inv _).symm
lemma mul_gpow_neg_one (a b : G) : (a*b)^(-(1:ℤ)) = b^(-(1:ℤ))*a^(-(1:ℤ)) :=
by simp only [mul_inv_rev, gpow_one, gpow_neg]
@[simp] theorem neg_gsmul : ∀ (a : A) (n : ℤ), -n •ℤ a = -(n •ℤ a) :=
@gpow_neg (multiplicative A) _
theorem gpow_neg_one (x : G) : x ^ (-1:ℤ) = x⁻¹ := congr_arg has_inv.inv $ pow_one x
theorem neg_one_gsmul (x : A) : (-1:ℤ) •ℤ x = -x := congr_arg has_neg.neg $ one_nsmul x
theorem inv_gpow (a : G) : ∀n:ℤ, a⁻¹ ^ n = (a ^ n)⁻¹
| (n : ℕ) := inv_pow a n
| -[1+ n] := congr_arg has_inv.inv $ inv_pow a (n+1)
theorem gsmul_neg (a : A) (n : ℤ) : gsmul n (- a) = - gsmul n a :=
@inv_gpow (multiplicative A) _ a n
theorem commute.mul_gpow {a b : G} (h : commute a b) : ∀ n : ℤ, (a * b) ^ n = a ^ n * b ^ n
| (n : ℕ) := h.mul_pow n
| -[1+n] := by simp [h.mul_pow, (h.pow_pow n.succ n.succ).inv_inv.symm.eq]
end group
section comm_group
variables [comm_group G] [add_comm_group A]
theorem mul_gpow (a b : G) (n : ℤ) : (a * b)^n = a^n * b^n := (commute.all a b).mul_gpow n
theorem gsmul_add : ∀ (a b : A) (n : ℤ), n •ℤ (a + b) = n •ℤ a + n •ℤ b :=
@mul_gpow (multiplicative A) _
theorem gsmul_sub (a b : A) (n : ℤ) : gsmul n (a - b) = gsmul n a - gsmul n b :=
by simp only [gsmul_add, gsmul_neg, sub_eq_add_neg]
instance gpow.is_group_hom (n : ℤ) : is_group_hom ((^ n) : G → G) :=
{ map_mul := λ _ _, mul_gpow _ _ n }
instance gsmul.is_add_group_hom (n : ℤ) : is_add_group_hom (gsmul n : A → A) :=
{ map_add := λ _ _, gsmul_add _ _ n }
end comm_group
lemma zero_pow [monoid_with_zero R] : ∀ {n : ℕ}, 0 < n → (0 : R) ^ n = 0
| (n+1) _ := zero_mul _
namespace ring_hom
variables [semiring R] [semiring S]
@[simp] lemma map_pow (f : R →+* S) (a) :
∀ n : ℕ, f (a ^ n) = (f a) ^ n :=
f.to_monoid_hom.map_pow a
end ring_hom
theorem neg_one_pow_eq_or [ring R] : ∀ n : ℕ, (-1 : R)^n = 1 ∨ (-1 : R)^n = -1
| 0 := or.inl rfl
| (n+1) := (neg_one_pow_eq_or n).swap.imp
(λ h, by rw [pow_succ, h, neg_one_mul, neg_neg])
(λ h, by rw [pow_succ, h, mul_one])
lemma pow_dvd_pow [monoid R] (a : R) {m n : ℕ} (h : m ≤ n) :
a ^ m ∣ a ^ n := ⟨a ^ (n - m), by rw [← pow_add, nat.add_comm, nat.sub_add_cancel h]⟩
theorem pow_dvd_pow_of_dvd [comm_monoid R] {a b : R} (h : a ∣ b) : ∀ n : ℕ, a ^ n ∣ b ^ n
| 0 := dvd_refl _
| (n+1) := mul_dvd_mul h (pow_dvd_pow_of_dvd n)
lemma pow_two_sub_pow_two {R : Type*} [comm_ring R] (a b : R) :
a ^ 2 - b ^ 2 = (a + b) * (a - b) :=
by simp only [pow_two, mul_sub, add_mul, sub_sub, add_sub, mul_comm, sub_add_cancel]
lemma eq_or_eq_neg_of_pow_two_eq_pow_two [integral_domain R] (a b : R) (h : a ^ 2 = b ^ 2) :
a = b ∨ a = -b :=
by rwa [← add_eq_zero_iff_eq_neg, ← sub_eq_zero, or_comm, ← mul_eq_zero,
← pow_two_sub_pow_two a b, sub_eq_zero]
theorem sq_sub_sq [comm_ring R] (a b : R) : a ^ 2 - b ^ 2 = (a + b) * (a - b) :=
by rw [pow_two, pow_two, mul_self_sub_mul_self]
theorem pow_eq_zero [monoid_with_zero R] [no_zero_divisors R] {x : R} {n : ℕ} (H : x^n = 0) :
x = 0 :=
begin
induction n with n ih,
{ rw pow_zero at H,
rw [← mul_one x, H, mul_zero] },
exact or.cases_on (mul_eq_zero.1 H) id ih
end
@[simp] lemma pow_eq_zero_iff [monoid_with_zero R] [no_zero_divisors R]
{a : R} {n : ℕ} (hn : 0 < n) :
a ^ n = 0 ↔ a = 0 :=
begin
refine ⟨pow_eq_zero, _⟩,
rintros rfl,
exact zero_pow hn,
end
@[field_simps] theorem pow_ne_zero [monoid_with_zero R] [no_zero_divisors R]
{a : R} (n : ℕ) (h : a ≠ 0) : a ^ n ≠ 0 :=
mt pow_eq_zero h
lemma pow_abs [linear_ordered_comm_ring R] (a : R) (n : ℕ) : (abs a)^n = abs (a^n) :=
(abs_hom.to_monoid_hom.map_pow a n).symm
lemma abs_neg_one_pow [linear_ordered_comm_ring R] (n : ℕ) : abs ((-1 : R)^n) = 1 :=
by rw [←pow_abs, abs_neg, abs_one, one_pow]
section add_monoid
variable [ordered_add_comm_monoid A]
theorem nsmul_nonneg {a : A} (H : 0 ≤ a) : ∀ n : ℕ, 0 ≤ n •ℕ a
| 0 := le_refl _
| (n+1) := add_nonneg H (nsmul_nonneg n)
lemma nsmul_pos {a : A} (ha : 0 < a) {k : ℕ} (hk : 0 < k) : 0 < k •ℕ a :=
begin
rcases nat.exists_eq_succ_of_ne_zero (ne_of_gt hk) with ⟨l, rfl⟩,
clear hk,
induction l with l IH,
{ simpa using ha },
{ exact add_pos ha IH }
end
theorem nsmul_le_nsmul {a : A} {n m : ℕ} (ha : 0 ≤ a) (h : n ≤ m) : n •ℕ a ≤ m •ℕ a :=
let ⟨k, hk⟩ := nat.le.dest h in
calc n •ℕ a = n •ℕ a + 0 : (add_zero _).symm
... ≤ n •ℕ a + k •ℕ a : add_le_add_left (nsmul_nonneg ha _) _
... = m •ℕ a : by rw [← hk, add_nsmul]
lemma nsmul_le_nsmul_of_le_right {a b : A} (hab : a ≤ b) : ∀ i : ℕ, i •ℕ a ≤ i •ℕ b
| 0 := by simp
| (k+1) := add_le_add hab (nsmul_le_nsmul_of_le_right _)
end add_monoid
section add_group
variable [ordered_add_comm_group A]
theorem gsmul_nonneg {a : A} (H : 0 ≤ a) {n : ℤ} (hn : 0 ≤ n) :
0 ≤ n •ℤ a :=
begin
lift n to ℕ using hn,
apply nsmul_nonneg H
end
end add_group
section cancel_add_monoid
variable [ordered_cancel_add_comm_monoid A]
theorem nsmul_lt_nsmul {a : A} {n m : ℕ} (ha : 0 < a) (h : n < m) :
n •ℕ a < m •ℕ a :=
let ⟨k, hk⟩ := nat.le.dest h in
begin
have succ_swap : n.succ + k = n + k.succ := nat.succ_add n k,
calc n •ℕ a = (n •ℕ a : A) + (0 : A) : (add_zero _).symm
... < n •ℕ a + (k.succ •ℕ a : A) : add_lt_add_left (nsmul_pos ha (nat.succ_pos k)) _
... = m •ℕ a : by rw [← hk, succ_swap, add_nsmul]
end
end cancel_add_monoid
section semiring
variables [semiring R]
lemma min_pow_dvd_add {n m : ℕ} {a b c : R} (ha : c ^ n ∣ a) (hb : c ^ m ∣ b) :
c ^ (min n m) ∣ a + b :=
begin
replace ha := dvd.trans (pow_dvd_pow c (min_le_left n m)) ha,
replace hb := dvd.trans (pow_dvd_pow c (min_le_right n m)) hb,
exact dvd_add ha hb
end
end semiring
section comm_semiring
variables [comm_semiring R]
lemma add_pow_two (a b : R) : (a + b) ^ 2 = a ^ 2 + 2 * a * b + b ^ 2 :=
by simp only [pow_two, add_mul_self_eq]
end comm_semiring
namespace canonically_ordered_semiring
variable [canonically_ordered_comm_semiring R]
theorem pow_pos {a : R} (H : 0 < a) : ∀ n : ℕ, 0 < a ^ n
| 0 := by { nontriviality, exact canonically_ordered_semiring.zero_lt_one }
| (n+1) := canonically_ordered_semiring.mul_pos.2 ⟨H, pow_pos n⟩
@[mono] lemma pow_le_pow_of_le_left {a b : R} (hab : a ≤ b) : ∀ i : ℕ, a^i ≤ b^i
| 0 := by simp
| (k+1) := canonically_ordered_semiring.mul_le_mul hab (pow_le_pow_of_le_left k)
theorem one_le_pow_of_one_le {a : R} (H : 1 ≤ a) (n : ℕ) : 1 ≤ a ^ n :=
by simpa only [one_pow] using pow_le_pow_of_le_left H n
theorem pow_le_one {a : R} (H : a ≤ 1) (n : ℕ) : a ^ n ≤ 1:=
by simpa only [one_pow] using pow_le_pow_of_le_left H n
end canonically_ordered_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, exact zero_lt_one }
| (n+1) := mul_pos H (pow_pos _)
@[simp] theorem pow_nonneg {a : R} (H : 0 ≤ a) : ∀ (n : ℕ), 0 ≤ a ^ n
| 0 := zero_le_one
| (n+1) := 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) : 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 : 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 ←nat.sub_add_cancel 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
theorem strict_mono_incr_on_pow {n : ℕ} (hn : 0 < n) :
strict_mono_incr_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 := le_refl _
| (n+1) := by 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_of_monotone_nat $ λ n, 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 $ 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) := mul_le_mul hab (pow_le_pow_of_le_left _) (pow_nonneg ha _) (le_trans ha hab)
end ordered_semiring
section linear_ordered_semiring
variable [linear_ordered_semiring R]
theorem pow_left_inj {x y : R} {n : ℕ} (Hxpos : 0 ≤ x) (Hypos : 0 ≤ y) (Hnpos : 0 < n)
(Hxyn : x ^ n = y ^ n) : x = y :=
(@strict_mono_incr_on_pow R _ _ Hnpos).inj_on Hxpos Hypos Hxyn
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
end linear_ordered_semiring
section linear_ordered_ring
variable [linear_ordered_ring R]
theorem pow_bit0_nonneg (a : R) (n : ℕ) : 0 ≤ a ^ bit0 n :=
by { rw pow_bit0, exact mul_self_nonneg _ }
theorem pow_two_nonneg (a : R) : 0 ≤ a ^ 2 :=
pow_bit0_nonneg a 1
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 pow_two_pos_of_ne_zero (a : R) (h : a ≠ 0) : 0 < a ^ 2 :=
pow_bit0_pos h 1
variables {x y : R}
@[simp] theorem sqr_abs (x : R) : abs x ^ 2 = x ^ 2 :=
by simpa only [pow_two] using abs_mul_abs_self x
theorem abs_sqr (x : R) : abs (x ^ 2) = x ^ 2 :=
by simpa only [pow_two] using abs_mul_self x
theorem sqr_lt_sqr (h : abs x < y) : x ^ 2 < y ^ 2 :=
by simpa only [sqr_abs] using pow_lt_pow_of_lt_left h (abs_nonneg x) (1:ℕ).succ_pos
theorem sqr_lt_sqr' (h1 : -y < x) (h2 : x < y) : x ^ 2 < y ^ 2 :=
sqr_lt_sqr (abs_lt.mpr ⟨h1, h2⟩)
theorem sqr_le_sqr (h : abs x ≤ y) : x ^ 2 ≤ y ^ 2 :=
by simpa only [sqr_abs] using pow_le_pow_of_le_left (abs_nonneg x) h 2
theorem sqr_le_sqr' (h1 : -y ≤ x) (h2 : x ≤ y) : x ^ 2 ≤ y ^ 2 :=
sqr_le_sqr (abs_le.mpr ⟨h1, h2⟩)
theorem abs_lt_abs_of_sqr_lt_sqr (h : x^2 < y^2) : abs x < abs y :=
lt_of_pow_lt_pow 2 (abs_nonneg y) $ by rwa [← sqr_abs x, ← sqr_abs y] at h
theorem abs_lt_of_sqr_lt_sqr (h : x^2 < y^2) (hy : 0 ≤ y) : abs x < y :=
begin
rw [← abs_of_nonneg hy],
exact abs_lt_abs_of_sqr_lt_sqr h,
end
theorem abs_lt_of_sqr_lt_sqr' (h : x^2 < y^2) (hy : 0 ≤ y) : -y < x ∧ x < y :=
abs_lt.mp $ abs_lt_of_sqr_lt_sqr h hy
theorem abs_le_abs_of_sqr_le_sqr (h : x^2 ≤ y^2) : abs x ≤ abs y :=
le_of_pow_le_pow 2 (abs_nonneg y) (1:ℕ).succ_pos $ by rwa [← sqr_abs x, ← sqr_abs y] at h
theorem abs_le_of_sqr_le_sqr (h : x^2 ≤ y^2) (hy : 0 ≤ y) : abs x ≤ y :=
begin
rw [← abs_of_nonneg hy],
exact abs_le_abs_of_sqr_le_sqr h,
end
theorem abs_le_of_sqr_le_sqr' (h : x^2 ≤ y^2) (hy : 0 ≤ y) : -y ≤ x ∧ x ≤ y :=
abs_le.mp $ abs_le_of_sqr_le_sqr h hy
end linear_ordered_ring
@[simp] lemma eq_of_pow_two_eq_pow_two [linear_ordered_comm_ring R]
{a b : R} (ha : 0 ≤ a) (hb : 0 ≤ b) :
a ^ 2 = b ^ 2 ↔ a = b :=
begin
refine ⟨_, congr_arg _⟩,
intros h,
refine (eq_or_eq_neg_of_pow_two_eq_pow_two _ _ h).elim id _,
rintros rfl,
rw le_antisymm (neg_nonneg.mp ha) hb,
exact neg_zero
end
@[simp] lemma neg_square {α} [ring α] (z : α) : (-z)^2 = z^2 :=
by simp [pow, monoid.pow]
lemma of_add_nsmul [add_monoid A] (x : A) (n : ℕ) :
multiplicative.of_add (n •ℕ x) = (multiplicative.of_add x)^n := rfl
lemma of_add_gsmul [add_group A] (x : A) (n : ℤ) :
multiplicative.of_add (n •ℤ x) = (multiplicative.of_add x)^n := rfl
@[simp] lemma semiconj_by.gpow_right [group G] {a x y : G} (h : semiconj_by a x y) :
∀ m : ℤ, semiconj_by a (x^m) (y^m)
| (n : ℕ) := h.pow_right n
| -[1+n] := (h.pow_right n.succ).inv_right
namespace commute
variables [group G] {a b : G}
@[simp] lemma gpow_right (h : commute a b) (m : ℤ) : commute a (b^m) :=
h.gpow_right m
@[simp] lemma gpow_left (h : commute a b) (m : ℤ) : commute (a^m) b :=
(h.symm.gpow_right m).symm
lemma gpow_gpow (h : commute a b) (m n : ℤ) : commute (a^m) (b^n) := (h.gpow_left m).gpow_right n
variables (a) (m n : ℕ)
@[simp] theorem self_gpow : commute a (a ^ n) := (commute.refl a).gpow_right n
@[simp] theorem gpow_self : commute (a ^ n) a := (commute.refl a).gpow_left n
@[simp] theorem gpow_gpow_self : commute (a ^ m) (a ^ n) := (commute.refl a).gpow_gpow m n
end commute
|
b69ccb0f725afde9192e6f3a670b1729712aa1b8 | 6a205478518645c9c32139432d2515af695dade4 | /src/Sample.lean | d7676262b6b28216b68510eda0ff66a1f03f77de | [
"LicenseRef-scancode-mit-taylor-variant",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | o89/sample-n2o | 9febd9110b69ecb9c999e98d1d9ed5498425f5dd | 6a6a450bbebc2f54a7f0d2ab66ef37c8a69feb45 | refs/heads/master | 1,655,813,514,957 | 1,655,472,697,000 | 1,655,472,697,000 | 205,369,860 | 2 | 2 | null | null | null | null | UTF-8 | Lean | false | false | 464 | lean | import Init.System.IO
import N2O.Default
def echoProto : Proto :=
{ ev := Option String,
nothing := Result.ok,
proto := λ p => match p with
| Msg.text s => some s
| _ => none }
def echo : echoProto.ev → Result
| none => Result.ok
| some s => Result.reply (Msg.text s)
def router (cx : Cx echoProto) : Cx echoProto :=
⟨cx.req, echo⟩
def handler : Handler := mkHandler echoProto [ router ]
def main := startServer handler ("localhost", 9000)
|
cdb10be8aced6a688a28efbcf59f0ab7e8f0169f | ebbdcbd7ddc89a9ef7c3b397b301d5f5272a918f | /qp/p0_stdlib/c3_order.lean | 2cd3a8365c457e65af92223db2fee7757d9936fd | [] | no_license | intoverflow/qvr | 34b9ef23604738381ca20b7d622fd0399d88f2dd | 0cfcd33fe4bf8d93851a00cec5bfd21e77105d74 | refs/heads/master | 1,616,591,570,371 | 1,492,575,772,000 | 1,492,575,772,000 | 80,061,627 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 659 | lean | /- -----------------------------------------------------------------------
Facts about orders.
----------------------------------------------------------------------- -/
namespace qp
namespace stdaux
universe variables ℓ₁ ℓ₂
/-! #brief A monotone function.
-/
definition monotone
{A : Sort ℓ₁} (r : A → A → Prop)
{B : Sort ℓ₂} (s : B → B → Prop)
(f : A → B)
: Prop
:= ∀ (a₁ a₂ : A)
, r a₁ a₂
→ s (f a₁) (f a₂)
/-! #brief The identity function is monotone.
-/
definition id.monotone
{A : Sort ℓ₁} (r : A → A → Prop)
: monotone r r id
:= λ a₁ a₂ ω, ω
end stdaux
end qp
|
27dfbf4e177fef44359464903d6c5ceb7e12359c | 8eeb99d0fdf8125f5d39a0ce8631653f588ee817 | /src/algebra/algebra/basic.lean | 1664a13e31c388a23379696adafe05239bd1c52f | [
"Apache-2.0"
] | permissive | jesse-michael-han/mathlib | a15c58378846011b003669354cbab7062b893cfe | fa6312e4dc971985e6b7708d99a5bc3062485c89 | refs/heads/master | 1,625,200,760,912 | 1,602,081,753,000 | 1,602,081,753,000 | 181,787,230 | 0 | 0 | null | 1,555,460,682,000 | 1,555,460,682,000 | null | UTF-8 | Lean | false | false | 44,610 | lean | /-
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 tactic.nth_rewrite
import data.matrix.basic
import linear_algebra.tensor_product
import ring_theory.subring
import deprecated.subring
/-!
# Algebra over Commutative Semiring (under category)
In this file we define algebra 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 replcaed with `is_scalar_tower`.
## 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` -/
/-- The category of R-algebras where R is a commutative
ring is the under category R ↓ CRing. In the categorical
setting we have a forgetful functor R-Alg ⥤ R-Mod.
However here it extends module in order to preserve
definitional equality in certain cases. -/
@[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,
.. 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 _
namespace algebra
variables {R : Type u} {S : Type v} {A : Type w}
/-- Let `R` be a commutative semiring, let `A` be a semiring with a `semimodule 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`. -/
def of_semimodule' [comm_semiring R] [semiring A] [semimodule 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 `semimodule 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`. -/
def of_semimodule [comm_semiring R] [semiring A] [semimodule 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_semimodule' (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] [semiring A] [algebra R A]
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_semimodule : semimodule 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
theorem commutes (r : R) (x : A) : algebra_map R A r * x = x * algebra_map R A r :=
algebra.commutes' r x
theorem left_comm (r : R) (x y : A) : x * (algebra_map R A r * y) = algebra_map R A r * (x * y) :=
by rw [← mul_assoc, ← commutes, mul_assoc]
@[simp] lemma mul_smul_comm (s : R) (x y : A) :
x * (s • y) = s • (x * y) :=
by rw [smul_def, smul_def, left_comm]
@[simp] lemma smul_mul_assoc (r : R) (x y : A) :
(r • x) * y = r • (x * y) :=
by rw [smul_def, smul_def, mul_assoc]
section
variables (r : R) (a : A)
@[simp] 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) = r • 2 + 1 :=
by simp [bit1, 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, begin dsimp, simp [algebra.smul_def], end,
..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
/-- Algebra over a subsemiring. -/
instance of_subsemiring (S : subsemiring R) : algebra S A :=
{ smul := λ s x, (s : R) • x,
commutes' := λ r x, algebra.commutes r x,
smul_def' := λ r x, algebra.smul_def r x,
.. (algebra_map R A).comp (subsemiring.subtype S) }
/-- Algebra over a subring. -/
instance of_subring {R A : Type*} [comm_ring R] [ring A] [algebra R A]
(S : subring R) : algebra S A :=
{ smul := λ s x, (s : R) • x,
commutes' := λ r x, algebra.commutes r x,
smul_def' := λ r x, algebra.smul_def r x,
.. (algebra_map R A).comp (subring.subtype S) }
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
/-- Algebra over a set that is closed under the ring operations. -/
instance of_is_subring {R A : Type*} [comm_ring R] [ring A] [algebra R A]
(S : set R) [is_subring S] : algebra S A :=
algebra.of_subring S.to_subring
lemma is_subring_coe_algebra_map_hom {R : Type*} [comm_ring R] (S : set R) [is_subring S] :
(algebra_map S R : S →+* R) = is_subring.subtype S := rfl
lemma is_subring_coe_algebra_map {R : Type*} [comm_ring R] (S : set R) [is_subring S] :
(algebra_map S R : S → R) = subtype.val := rfl
lemma is_subring_algebra_map_apply {R : Type*} [comm_ring R] (S : set R) [is_subring S] (x : S) :
algebra_map S R x = x := rfl
lemma set_range_subset {R : Type*} [comm_ring R] {T₁ T₂ : set R} [is_subring T₁] (hyp : T₁ ⊆ T₂) :
set.range (algebra_map T₁ R) ⊆ T₂ :=
begin
rintros x ⟨⟨t, ht⟩, rfl⟩,
exact hyp ht,
end
variables (R A)
/-- The multiplication in an algebra is a bilinear map. -/
def lmul : A →ₗ A →ₗ A :=
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])
/-- The multiplication on the left in an algebra is a linear map. -/
def lmul_left (r : A) : A →ₗ A :=
lmul R A r
/-- The multiplication on the right in an algebra is a linear map. -/
def lmul_right (r : A) : A →ₗ A :=
(lmul R A).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 A vw.2).comp (lmul_left R A 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 (algebra.lmul R A)
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 A p q = p * q := rfl
@[simp] lemma lmul_right_apply (p q : A) : lmul_right R A p q = q * p := rfl
@[simp] lemma lmul_left_right_apply (vw : A × A) (p : A) :
lmul_left_right R A vw p = vw.1 * p * vw.2 := rfl
@[simp] lemma lmul'_apply {x y} : algebra.lmul' R A (x ⊗ₜ y) = x * y :=
begin
dsimp [algebra.lmul'],
simp,
end
/-- 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
instance linear_map.semimodule' (R : Type u) [comm_semiring R]
(M : Type v) [add_comm_monoid M] [semimodule R M]
(S : Type w) [comm_semiring S] [algebra R S] : semimodule 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 semiring
section ring
variables [comm_ring R]
variables (R)
/-- A `semiring` that is an `algebra` over a commutative ring carries a natural `ring` structure. -/
def semiring_to_ring [semiring A] [algebra R A] : ring A := {
..semimodule.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 module
instance endomorphism_algebra (R : Type u) (M : Type v)
[comm_ring R] [add_comm_group M] [module R M] : 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 (R : Type u) (M : Type v)
[comm_ring R] [add_comm_group M] [module R M] (a : R) :
(algebra_map R (End R M)) a = a • linear_map.id := rfl
lemma algebra_map_End_apply (R : Type u) (M : Type v)
[comm_ring R] [add_comm_group M] [module R M] (a : R) (m : M) :
(algebra_map R (End R M)) a m = a • m := rfl
lemma ker_algebra_map_End (K : Type u) (V : Type v)
[field K] [add_comm_group V] [vector_space K V] (a : K) (ha : a ≠ 0) :
((algebra_map K (End K V)) a).ker = ⊥ :=
linear_map.ker_smul _ _ ha
end module
instance matrix_algebra (n : Type u) (R : Type v)
[decidable_eq n] [fintype n] [comm_semiring R] : algebra R (matrix n n R) :=
{ commutes' := by { intros, simp [matrix.scalar], },
smul_def' := by { intros, simp [matrix.scalar], },
..(matrix.scalar n) }
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⟩
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
@[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
@[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 :=
⟨by { rintro rfl x, refl }, ext⟩
@[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
@[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
section
variables (R A)
/-- Identity map as an `alg_hom`. -/
protected def id : A →ₐ[R] A :=
{ commutes' := λ _, rfl,
..ring_hom.id A }
end
@[simp] 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 comp_apply (φ₁ : B →ₐ[R] C) (φ₂ : A →ₐ[R] B) (p : A) :
φ₁.comp φ₂ p = φ₁ (φ₂ p) := 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 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_inj {φ₁ φ₂ : A →ₐ[R] B} (H : φ₁.to_linear_map = φ₂.to_linear_map) : φ₁ = φ₂ :=
ext $ λ x, show φ₁.to_linear_map x = φ₂.to_linear_map x, by rw 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
end semiring
section comm_semiring
variables [comm_semiring R] [comm_semiring A] [comm_semiring B]
variables [algebra R A] [algebra R B]
variables (φ : A →ₐ[R] B)
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
end comm_semiring
section ring
variables [comm_ring R] [ring A] [ring B] [ring C]
variables [algebra R A] [algebra R B] [algebra R C] (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
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
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}
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
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 mk_apply {to_fun inv_fun left_inv right_inv map_mul map_add commutes a} :
(⟨to_fun, inv_fun, left_inv, right_inv, map_mul, map_add, commutes⟩ : A₁ ≃ₐ[R] A₂) a = to_fun a :=
rfl
@[simp] lemma to_fun_apply {e : A₁ ≃ₐ[R] A₂} {a : A₁} : e.to_fun a = e a := rfl
@[simp, norm_cast] lemma coe_ring_equiv : ((e : A₁ ≃+* A₂) : A₁ → A₂) = e := rfl
lemma coe_ring_equiv_injective : function.injective (λ e : A₁ ≃ₐ[R] A₂, (e : A₁ ≃+* A₂)) :=
begin
intros f g w,
ext,
replace w : ((f : A₁ ≃+* A₂) : A₁ → A₂) = ((g : A₁ ≃+* A₂) : A₁ → A₂) :=
congr_arg (λ e : A₁ ≃+* A₂, (e : A₁ → A₂)) w,
exact congr_fun w a,
end
@[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'
@[simp] lemma map_neg {A₁ : Type v} {A₂ : Type w}
[ring A₁] [ring A₂] [algebra R A₁] [algebra R A₂] (e : A₁ ≃ₐ[R] A₂) :
∀ x, e (-x) = -(e x) := e.to_add_equiv.map_neg
@[simp] lemma map_sub {A₁ : Type v} {A₂ : Type w}
[ring A₁] [ring A₂] [algebra R A₁] [algebra R A₂] (e : A₁ ≃ₐ[R] A₂) :
∀ x y, e (x - y) = e x - e y := e.to_add_equiv.map_sub
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
/-- 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 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 coe_refl : (@refl R A₁ _ _ _ : A₁ →ₐ[R] A₁) = alg_hom.id R A₁ :=
alg_hom.ext (λ x, 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, }
@[simp] lemma inv_fun_apply {e : A₁ ≃ₐ[R] A₂} {a : A₂} : e.inv_fun a = e.symm a := rfl
@[simp] lemma symm_symm {e : A₁ ≃ₐ[R] A₂} : e.symm.symm = e :=
by { ext, refl, }
/-- 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 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 }
/-- 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 :=
{ inv_fun := g,
left_inv := alg_hom.ext_iff.1 h₂,
right_inv := alg_hom.ext_iff.1 h₁,
..f }
/-- 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. -/
def to_linear_equiv (e : A₁ ≃ₐ[R] A₂) : A₁ ≃ₗ[R] A₂ :=
{ to_fun := e.to_fun,
map_add' := λ x y, by simp,
map_smul' := λ r x, by simp [algebra.smul_def''],
inv_fun := e.symm.to_fun,
left_inv := e.left_inv,
right_inv := e.right_inv, }
@[simp] lemma to_linear_equiv_apply (e : A₁ ≃ₐ[R] A₂) (x : A₁) : e.to_linear_equiv x = e x := rfl
theorem to_linear_equiv_inj {e₁ e₂ : A₁ ≃ₐ[R] A₂} (H : e₁.to_linear_equiv = e₂.to_linear_equiv) :
e₁ = e₂ :=
ext $ λ x, show e₁.to_linear_equiv x = e₂.to_linear_equiv x, by rw 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_inj {e₁ e₂ : A₁ ≃ₐ[R] A₂} (H : e₁.to_linear_map = e₂.to_linear_map) :
e₁ = e₂ :=
ext $ λ x, show e₁.to_linear_map x = e₂.to_linear_map x, by rw 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
end alg_equiv
namespace algebra
variables (R : Type u) (S : Type v) (A : Type w)
include R S A
/-- `comap R S A` is a type alias for `A`, and has an R-algebra structure defined on it
when `algebra R S` and `algebra S A`. 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`. -/
/- This is done to avoid a type class search with meta-variables `algebra R ?m_1` and
`algebra ?m_1 A -/
/- The `nolint` attribute is added because it has unused arguments `R` and `S`, but these are necessary for synthesizing the
appropriate type classes -/
@[nolint unused_arguments]
def comap : Type w := A
instance comap.inhabited [h : inhabited A] : inhabited (comap R S A) := h
instance comap.semiring [h : semiring A] : semiring (comap R S A) := h
instance comap.ring [h : ring A] : ring (comap R S A) := h
instance comap.comm_semiring [h : comm_semiring A] : comm_semiring (comap R S A) := h
instance comap.comm_ring [h : comm_ring A] : comm_ring (comap R S A) := h
instance comap.algebra' [comm_semiring S] [semiring A] [h : algebra S A] :
algebra S (comap R S A) := h
/-- Identity homomorphism `A →ₐ[S] comap R S A`. -/
def comap.to_comap [comm_semiring S] [semiring A] [algebra S A] :
A →ₐ[S] comap R S A := alg_hom.id S A
/-- Identity homomorphism `comap R S A →ₐ[S] A`. -/
def comap.of_comap [comm_semiring S] [semiring A] [algebra S A] :
comap R S A →ₐ[S] A := alg_hom.id S A
variables [comm_semiring R] [comm_semiring S] [semiring A] [algebra R S] [algebra S A]
/-- `R ⟶ S` induces `S-Alg ⥤ R-Alg` -/
instance comap.algebra : algebra R (comap R S A) :=
{ smul := λ r x, (algebra_map R S r • x : A),
commutes' := λ r x, algebra.commutes _ _,
smul_def' := λ _ _, algebra.smul_def _ _,
.. (algebra_map S A).comp (algebra_map R S) }
/-- Embedding of `S` into `comap R S A`. -/
def to_comap : S →ₐ[R] comap R S A :=
{ commutes' := λ r, rfl,
.. algebra_map S A }
theorem to_comap_apply (x) : to_comap R S A x = algebra_map S A x := rfl
end algebra
namespace alg_hom
variables {R : Type u} {S : Type v} {A : Type w} {B : Type u₁}
variables [comm_semiring R] [comm_semiring S] [semiring A] [semiring B]
variables [algebra R S] [algebra S A] [algebra S B] (φ : A →ₐ[S] B)
include R
/-- R ⟶ S induces S-Alg ⥤ R-Alg -/
def comap : algebra.comap R S A →ₐ[R] algebra.comap R S B :=
{ commutes' := λ r, φ.commutes (algebra_map R S r)
..φ }
end alg_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
end rat
namespace algebra
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
end algebra
section nat
variables (R : Type*) [semiring R]
/-- Reinterpret a `ring_hom` as an `ℕ`-algebra homomorphism. -/
def alg_hom_nat
{R : Type u} [semiring R] [algebra ℕ R]
{S : Type v} [semiring S] [algebra ℕ S]
(f : R →+* S) : R →ₐ[ℕ] S :=
{ commutes' := λ i, show f _ = _, by simp, .. f }
/-- Semiring ⥤ ℕ-Alg -/
instance algebra_nat : algebra ℕ R :=
{ commutes' := nat.cast_commute,
smul_def' := λ _ _, nsmul_eq_mul _ _,
.. nat.cast_ring_hom R }
section span_nat
open submodule
lemma span_nat_eq_add_group_closure (s : set R) :
(span ℕ s).to_add_submonoid = add_submonoid.closure s :=
eq.symm $ add_submonoid.closure_eq_of_le subset_span $ λ x hx, span_induction hx
(λ x hx, add_submonoid.subset_closure hx) (add_submonoid.zero_mem _)
(λ _ _, add_submonoid.add_mem _) (λ _ _ _, add_submonoid.nsmul_mem _ ‹_› _)
@[simp] lemma span_nat_eq (s : add_submonoid R) : (span ℕ (s : set R)).to_add_submonoid = s :=
by rw [span_nat_eq_add_group_closure, s.closure_eq]
end span_nat
end nat
section int
variables (R : Type*) [ring R]
/-- Reinterpret a `ring_hom` as a `ℤ`-algebra homomorphism. -/
def alg_hom_int
{R : Type u} [comm_ring R] [algebra ℤ R]
{S : Type v} [comm_ring S] [algebra ℤ S]
(f : R →+* S) : R →ₐ[ℤ] S :=
{ commutes' := λ i, show f _ = _, by simp, .. f }
/-- Ring ⥤ ℤ-Alg -/
instance algebra_int : algebra ℤ R :=
{ commutes' := int.cast_commute,
smul_def' := λ _ _, gsmul_eq_mul _ _,
.. int.cast_ring_hom R }
/--
Promote a ring homomorphisms to a `ℤ`-algebra homomorphism.
-/
def ring_hom.to_int_alg_hom {R S : Type*} [ring R] [ring S] (f : R →+* S) : R →ₐ[ℤ] S :=
{ commutes' := λ n, by simp,
.. f }
variables {R}
section
variables {S : Type*} [ring S]
instance int_algebra_subsingleton : subsingleton (algebra ℤ S) :=
⟨λ P Q, by { ext, simp, }⟩
end
section
variables {S : Type*} [semiring S]
instance nat_algebra_subsingleton : subsingleton (algebra ℕ S) :=
⟨λ P Q, by { ext, simp, }⟩
end
section span_int
open submodule
lemma span_int_eq_add_group_closure (s : set R) :
(span ℤ s).to_add_subgroup = add_subgroup.closure s :=
eq.symm $ add_subgroup.closure_eq_of_le _ subset_span $ λ x hx, span_induction hx
(λ x hx, add_subgroup.subset_closure hx) (add_subgroup.zero_mem _)
(λ _ _, add_subgroup.add_mem _) (λ _ _ _, add_subgroup.gsmul_mem _ ‹_› _)
@[simp] lemma span_int_eq (s : add_subgroup R) : (span ℤ (s : set R)).to_add_subgroup = s :=
by rw [span_int_eq_add_group_closure, s.closure_eq]
end span_int
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 {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 (α) {r : comm_semiring α}
[s : ∀ i, semiring (f i)] [∀ i, algebra α (f i)] :
algebra α (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 α (f i)) }
@[simp] lemma algebra_map_apply (α) {r : comm_semiring α}
[s : ∀ i, semiring (f i)] [∀ i, algebra α (f i)] (a : α) (i : I) :
algebra_map α (Π i, f i) a i = algebra_map α (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.
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] [semimodule A M] [semimodule R M] [is_scalar_tower R A M]
variables {N : Type*} [add_comm_monoid N] [semimodule A N] [semimodule 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]
variable {A}
lemma smul_algebra_smul_comm (r : R) (a : A) (m : M) : a • r • m = r • a • m :=
by rw [algebra_compatible_smul A r (a • m), smul_smul, algebra.commutes, mul_smul, ←algebra_compatible_smul]
@[simp] lemma map_smul_eq_smul_map (f : M →ₗ[A] N) (r : R) (m : M) :
f (r • m) = r • f m :=
by rw [algebra_compatible_smul A r m, linear_map.map_smul, ←algebra_compatible_smul A r (f m)]
instance : has_coe (M →ₗ[A] N) (M →ₗ[R] N) :=
⟨λ f, ⟨f.to_fun, λ x y, f.map_add' x y, λ r n, map_smul_eq_smul_map _ _ _⟩⟩
end is_scalar_tower
section restrict_scalars
/- In this section, we describe restriction of scalars: if `S` is an algebra over `R`, then
`S`-modules are also `R`-modules. -/
section semimodule
variables (R : Type*) [comm_semiring R] (S : Type*) [semiring S] [algebra R S]
variables (E : Type*) [add_comm_monoid E] [semimodule S E]
variables {F : Type*} [add_comm_monoid F] [semimodule S F]
/--
When `E` is a module over a ring `S`, and `S` is an algebra over `R`, then `E` inherits a
module structure over `R`, called `module.restrict_scalars' R S E`.
We do not register this as an instance as `S` can not be inferred.
-/
def semimodule.restrict_scalars' : semimodule R E :=
{ smul := λ c x, (algebra_map R S c) • x,
one_smul := by simp,
mul_smul := by simp [mul_smul],
smul_add := by simp [smul_add],
smul_zero := by simp [smul_zero],
add_smul := by simp [add_smul],
zero_smul := by simp [zero_smul] }
/--
When `E` is a module over a ring `S`, and `S` is an algebra over `R`, then `E` inherits a
module structure over `R`, provided as a type synonym `module.restrict_scalars R S E := E`.
When the `R`-module structure on `E` is registered directly (using `module.restrict_scalars'` for
instance, or for `S = ℂ` and `R = ℝ`), theorems on `module.restrict_scalars R S E` can be directly
applied to `E` as these types are the same for the kernel.
-/
@[nolint unused_arguments]
def semimodule.restrict_scalars (R : Type*) (S : Type*) (E : Type*) : Type* := E
instance (R : Type*) (S : Type*) (E : Type*) [I : inhabited E] :
inhabited (semimodule.restrict_scalars R S E) := I
instance (R : Type*) (S : Type*) (E : Type*) [I : add_comm_monoid E] :
add_comm_monoid (semimodule.restrict_scalars R S E) := I
instance semimodule.restrict_scalars.module_orig (R : Type*) (S : Type*) [semiring S]
(E : Type*) [add_comm_monoid E] [I : semimodule S E] :
semimodule S (semimodule.restrict_scalars R S E) := I
instance : semimodule R (semimodule.restrict_scalars R S E) :=
(semimodule.restrict_scalars' R S E : semimodule R E)
lemma semimodule.restrict_scalars_smul_def (c : R) (x : semimodule.restrict_scalars R S E) :
c • x = ((algebra_map R S c) • x : E) := rfl
/--
`module.restrict_scalars R S S` is `R`-linearly equivalent to the original algebra `S`.
Unfortunately these structures are not generally definitionally equal:
the `R`-module structure on `S` is part of the data of `S`,
while the `R`-module structure on `module.restrict_scalars R S S`
comes from the ring homomorphism `R →+* S`, which is a separate part of the data of `S`.
The field `algebra.smul_def'` gives the equation we need here.
-/
def algebra.restrict_scalars_equiv :
(semimodule.restrict_scalars R S S) ≃ₗ[R] S :=
{ to_fun := λ s, s,
inv_fun := λ s, s,
left_inv := λ s, rfl,
right_inv := λ s, rfl,
map_add' := λ x y, rfl,
map_smul' := λ c x, (algebra.smul_def' _ _).symm, }
@[simp]
lemma algebra.restrict_scalars_equiv_apply (s : S) :
algebra.restrict_scalars_equiv R S s = s := rfl
@[simp]
lemma algebra.restrict_scalars_equiv_symm_apply (s : S) :
(algebra.restrict_scalars_equiv R S).symm s = s := rfl
variables {S E}
open semimodule
instance : is_scalar_tower R S (restrict_scalars R S E) :=
⟨λ r s e, by { rw [algebra.smul_def, mul_smul], refl }⟩
/--
`V.restrict_scalars R` is the `R`-submodule of the `R`-module given by restriction of scalars,
corresponding to `V`, an `S`-submodule of the original `S`-module.
-/
@[simps]
def submodule.restrict_scalars (V : submodule S E) : submodule R (restrict_scalars R S E) :=
{ carrier := V.carrier,
zero_mem' := V.zero_mem,
smul_mem' := λ c e h, V.smul_mem _ h,
add_mem' := λ x y hx hy, V.add_mem hx hy, }
@[simp]
lemma submodule.restrict_scalars_mem (V : submodule S E) (e : E) :
e ∈ V.restrict_scalars R ↔ e ∈ V :=
iff.refl _
@[simp]
lemma submodule.restrict_scalars_bot :
submodule.restrict_scalars R (⊥ : submodule S E) = ⊥ :=
rfl
@[simp]
lemma submodule.restrict_scalars_top :
submodule.restrict_scalars R (⊤ : submodule S E) = ⊤ :=
rfl
/-- The `R`-linear map induced by an `S`-linear map when `S` is an algebra over `R`. -/
def linear_map.restrict_scalars (f : E →ₗ[S] F) :
(restrict_scalars R S E) →ₗ[R] (restrict_scalars R S F) :=
{ to_fun := f.to_fun,
map_add' := λx y, f.map_add x y,
map_smul' := λc x, f.map_smul (algebra_map R S c) x }
@[simp, norm_cast squash] lemma linear_map.coe_restrict_scalars_eq_coe (f : E →ₗ[S] F) :
(f.restrict_scalars R : E → F) = f := rfl
@[simp]
lemma restrict_scalars_ker (f : E →ₗ[S] F) :
(f.restrict_scalars R).ker = submodule.restrict_scalars R f.ker :=
rfl
/-- `A`-linearly coerce a `R`-linear map from `M` to `R` to a function, given an algebra `A` over
a commutative semiring `R` and `M` a semimodule over `R`. -/
def linear_map.lto_fun (R : Type u) (M : Type v) (A : Type w)
[comm_semiring R] [add_comm_monoid M] [semimodule 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 semimodule
section module
instance (R : Type*) (S : Type*) (E : Type*) [I : add_comm_group E] :
add_comm_group (semimodule.restrict_scalars R S E) := I
end module
end restrict_scalars
section extend_scalars
/-! When `V` is an `R`-module and `W` is an `S`-module, where `S` is an algebra over `R`, then
the collection of `R`-linear maps from `V` to `W` admits an `S`-module structure, given by
multiplication in the target -/
variables (R : Type*) [comm_semiring R] (S : Type*) [semiring S] [algebra R S]
(V : Type*) [add_comm_monoid V] [semimodule R V]
(W : Type*) [add_comm_monoid W] [semimodule S W]
/-- The set of `R`-linear maps admits an `S`-action by left multiplication -/
instance linear_map.has_scalar_extend_scalars :
has_scalar S (V →ₗ[R] (semimodule.restrict_scalars R S W)) :=
{ smul := λ r f,
{ to_fun := λ v, r • f v,
map_add' := by simp [smul_add],
map_smul' := λ c x, by rw [linear_map.map_smul, smul_algebra_smul_comm] }}
/-- The set of `R`-linear maps is an `S`-module-/
instance linear_map.module_extend_scalars :
semimodule S (V →ₗ[R] (semimodule.restrict_scalars R S W)) :=
{ one_smul := λ f, by { ext v, simp [(•)] },
mul_smul := λ r r' f, by { ext v, simp [(•), smul_smul] },
smul_add := λ r f g, by { ext v, simp [(•), smul_add] },
smul_zero := λ r, by { ext v, simp [(•)] },
add_smul := λ r r' f, by { ext v, simp [(•), add_smul] },
zero_smul := λ f, by { ext v, simp [(•)] } }
variables {R S V W}
/-- When `f` is a linear map taking values in `S`, then `λb, f b • x` is a linear map. -/
def smul_algebra_right (f : V →ₗ[R] S) (x : semimodule.restrict_scalars R S W) :
V →ₗ[R] (semimodule.restrict_scalars R S W) :=
{ to_fun := λb, f b • x,
map_add' := by simp [add_smul],
map_smul' := λ b y, by { simp [algebra.smul_def, ← smul_smul], refl } }
@[simp] theorem smul_algebra_right_apply
(f : V →ₗ[R] S) (x : semimodule.restrict_scalars R S W) (c : V) :
smul_algebra_right f x c = f c • x := rfl
end extend_scalars
/-!
When `V` and `W` are `S`-modules, for some `R`-algebra `S`,
the collection of `S`-linear maps from `V` to `W` forms an `R`-module.
(But not generally an `S`-module, because `S` may be non-commutative.)
-/
section module_of_linear_maps
variables (R : Type*) [comm_semiring R] (S : Type*) [semiring S] [algebra R S]
(V : Type*) [add_comm_monoid V] [semimodule S V]
(W : Type*) [add_comm_monoid W] [semimodule S W]
/--
For `r : R`, and `f : V →ₗ[S] W` (where `S` is an `R`-algebra) we define
`(r • f) v = f (r • v)`.
-/
def linear_map_algebra_has_scalar : has_scalar R (V →ₗ[S] W) :=
{ smul := λ r f,
{ to_fun := λ v, f ((algebra_map R S r) • v),
map_add' := λ x y, by simp [smul_add],
map_smul' := λ s v, by simp [smul_smul, algebra.commutes], } }
local attribute [instance] linear_map_algebra_has_scalar
/-- The `R`-module structure on `S`-linear maps, for `S` an `R`-algebra. -/
def linear_map_algebra_module : semimodule R (V →ₗ[S] W) :=
{ one_smul := λ f, begin ext v, dsimp [(•)], simp, end,
mul_smul := λ r r' f,
begin
ext v, dsimp [(•)],
rw [linear_map.map_smul, linear_map.map_smul, linear_map.map_smul, ring_hom.map_mul,
smul_smul, algebra.commutes],
end,
smul_zero := λ r, by { ext v, dsimp [(•)], refl, },
smul_add := λ r f g, by { ext v, dsimp [(•)], simp [linear_map.map_add], },
zero_smul := λ f, by { ext v, dsimp [(•)], simp, },
add_smul := λ r r' f, by { ext v, dsimp [(•)], simp [add_smul], }, }
local attribute [instance] linear_map_algebra_module
variables {R S V W}
@[simp]
lemma linear_map_algebra_module.smul_apply (c : R) (f : V →ₗ[S] W) (v : V) :
(c • f) v = (c • (f v) : semimodule.restrict_scalars R S W) :=
begin
erw [linear_map.map_smul],
refl,
end
end module_of_linear_maps
|
2e14262aa483a5efa3f3f06679c9a965f9fe49e9 | b66669ef1ec06ddbd9526fe3afe0a68566dfbad3 | /src/wireworld.lean | bce2d21ce2c294f0e94b2c9eacff856a3a7eda20 | [
"MIT"
] | permissive | FerdoSil/LatticesAndCellularAutomata | 40185a9099bb3cf1371c85f1ca33a17c2e26fecb | 2a69d2e74a231addf0e446dca86ef90d50d60218 | refs/heads/master | 1,587,683,992,072 | 1,586,018,471,000 | 1,586,018,471,000 | 171,533,028 | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 7,071 | lean | -- Implementation of Wireworld.
-- Cell states 'cellT' are represented as follows.
-- 'empty'
-- 'ehead' for electron head
-- 'etail' for electron tail
-- 'condu' for conductor
-- The definition 'mk_hpp' builds an instance of HPP
-- from an initial configuration of cell states.
import cell_automaton utils data.vector
open utils
namespace ww
section ww
-- empty | electron head | electron tail | conductor
@[derive decidable_eq]
inductive cellT | empty | ehead | etail | condu
open cellT
def cellT_str : cellT → string
| empty := " "
| ehead := "H"
| etail := "T"
| condu := "X"
instance cellT_to_str : has_to_string cellT := ⟨cellT_str⟩
instance cellT_repr : has_repr cellT := ⟨cellT_str⟩
attribute [reducible]
def ww := cell_automaton cellT
def step : cellT → ℕ → cellT
| empty _ := empty
| ehead _ := etail
| etail _ := condu
| condu c := if c = 1 ∨ c = 2 then ehead else condu
def ww_step (cell : cellT) (neigh : list cellT) :=
step cell $ count_at_single neigh ehead
def mk_ww (g : vec_grid₀ cellT) : ww :=
⟨g, empty, cell_automatons.moore, ww_step, cell_automatons.ext_id⟩
def wire_g :=
vec_grid₀.mk ⟨1, 5, dec_trivial,
⟨[etail, ehead, condu, condu, condu], rfl⟩⟩
⟨0, 1⟩
def wire : ww := mk_ww wire_g
def or_g_10 :=
vec_grid₀.mk ⟨5, 6, dec_trivial,
⟨[etail, ehead, empty, empty, empty, empty,
empty, empty, condu, empty, empty, empty,
empty, condu, condu, condu, condu, condu,
empty, empty, condu, empty, empty, empty,
condu, condu, empty, empty, empty, empty], rfl⟩⟩
⟨0, 1⟩
def or_10 : ww := mk_ww or_g_10
def or_g_01 :=
vec_grid₀.mk ⟨5, 6, dec_trivial,
⟨[condu, condu, empty, empty, empty, empty,
empty, empty, condu, empty, empty, empty,
empty, condu, condu, condu, condu, condu,
empty, empty, condu, empty, empty, empty,
etail, ehead, empty, empty, empty, empty], rfl⟩⟩
⟨0, 1⟩
def or_01 : ww := mk_ww or_g_01
open cardinals
section ww_or
def or_gate' :=
vec_grid₀.mk ⟨5, 6, dec_trivial,
⟨[condu, condu, empty, empty, empty, empty,
empty, empty, condu, empty, empty, empty,
empty, condu, condu, condu, condu, condu,
empty, empty, condu, empty, empty, empty,
etail, ehead, empty, empty, empty, empty], rfl⟩⟩
⟨-5, -5⟩
def or_gate : ww := mk_ww or_gate'
def write_input (i₁ : bool) (i₂ : bool) :=
let (b₁, b₂) := if i₁ then (etail, ehead) else (condu, condu) in
let (b₃, b₄) := if i₂ then (etail, ehead) else (condu, condu) in
mod_many
[(⟨-5, -10⟩, b₁), (⟨-4, -10⟩, b₂), (⟨-5, -6⟩, b₃), (⟨-4, -6⟩, b₄)]
or_gate
def sim_or (i₁ i₂ : bool) : bool :=
let sim := step_n (write_input i₁ i₂) 3 in
yield_at sim ⟨-8, -2⟩ = etail ∧ yield_at sim ⟨-8, -1⟩ = ehead
end ww_or
section ww_xor
inductive direction | N | W | E | S
open direction
structure inout :=
(p₁ : point)
(p₂ : point)
(dir : direction)
structure ww₁ :=
(aut : ww)
(ins : list inout)
(ous : list inout)
def str_of_ww₁ : ww₁ → string
| ⟨aut, _, _⟩ := to_string aut
instance ww₁_to_str : has_to_string ww₁ := ⟨str_of_ww₁⟩
instance ww₁_repr : has_repr ww₁ := ⟨str_of_ww₁⟩
def mk_ww₁ (g : vec_grid₀ cellT) (inputs outputs : list inout) : ww₁ :=
⟨mk_ww g, inputs, outputs⟩
def write (a : ww₁) (n : ℕ) (b : bool) : ww₁ :=
let input := list.nth a.ins n in
match input with
| none := a
| some ⟨p₁, p₂, dir⟩ :=
if b then
match dir with
| N :=
ww₁.mk (mod_many [(up p₁ p₂, ehead), (down p₁ p₂, etail)] a.aut)
a.ins a.ous
| S :=
ww₁.mk (mod_many [(down p₁ p₂, ehead), (up p₁ p₂, etail)] a.aut)
a.ins a.ous
| W :=
ww₁.mk (mod_many [(left p₁ p₂, ehead), (right p₁ p₂, etail)] a.aut)
a.ins a.ous
| E :=
ww₁.mk (mod_many [(right p₁ p₂, ehead), (left p₁ p₂, etail)] a.aut)
a.ins a.ous
end
else ww₁.mk (mod_many [(p₁, condu), (p₂, condu)] a.aut) a.ins a.ous
end
def read (a : ww₁) (n : ℕ) : bool :=
let output := list.nth a.ous n in
match output with
| none := ff
| some ⟨p₁, p₂, dir⟩ :=
match dir with
| N := yield_at a.aut (up p₁ p₂) = ehead ∧
yield_at a.aut (down p₁ p₂) = etail
| S := yield_at a.aut (up p₁ p₂) = etail ∧
yield_at a.aut (down p₁ p₂) = ehead
| W := yield_at a.aut (left p₁ p₂) = ehead ∧
yield_at a.aut (right p₁ p₂) = etail
| E := yield_at a.aut (left p₁ p₂) = etail ∧
yield_at a.aut (right p₁ p₂) = ehead
end
end
def xor_gate' :=
vec_grid₀.mk ⟨7, 7, dec_trivial,
⟨[condu, condu, empty, empty, empty, empty, empty,
empty, empty, condu, empty, empty, empty, empty,
empty, condu, condu, condu, condu, empty, empty,
empty, condu, empty, empty, condu, condu, condu,
empty, condu, condu, condu, condu, empty, empty,
empty, empty, condu, empty, empty, empty, empty,
condu, condu, empty, empty, empty, empty, empty], rfl⟩⟩
⟨0, 0⟩
def xor_gate_inputs : list inout := [⟨⟨0, 6⟩, ⟨1, 6⟩, E⟩, ⟨⟨0, 0⟩, ⟨1, 0⟩, E⟩]
def xor_gate_outputs : list inout := [⟨⟨5, 3⟩, ⟨6, 3⟩, E⟩]
def mk_xor (a : ww) : ww₁ := ⟨a, xor_gate_inputs, xor_gate_outputs⟩
def xor_gate_w : ww := mk_ww xor_gate'
def xor_gate : ww₁ := mk_xor xor_gate_w
def xor' (b₁ b₂ : bool) : bool :=
read (mk_xor (step_n (write (write xor_gate 0 b₂) 1 b₁).aut 5)) 0
theorem xor_iff_xor' {b₁ b₂} : bxor b₁ b₂ ↔ xor' b₁ b₂ :=
begin
cases b₁; cases b₂; split; intros h,
{
dsimp at h, contradiction
},
{
have : xor' ff ff = ff, from dec_trivial,
rw this at h,
contradiction
},
{
exact dec_trivial
},
{
dsimp, unfold_coes
},
{
exact dec_trivial
},
{
dsimp, unfold_coes
},
{
dsimp at h, contradiction
},
{
have : xor' tt tt = ff, from dec_trivial,
rw this at h,
contradiction
}
end
end ww_xor
end ww
end ww |
a2861dbcba5a36d7b31a613d48252087ab6eb2e1 | 36938939954e91f23dec66a02728db08a7acfcf9 | /lean/deps/x86_semantics/src/x86_semantics/evaluator.lean | 1546757a2eb33e30b9749bf1121da77fcffd344f | [
"Apache-2.0"
] | permissive | pnwamk/reopt-vcg | f8b56dd0279392a5e1c6aee721be8138e6b558d3 | c9f9f185fbefc25c36c4b506bbc85fd1a03c3b6d | refs/heads/master | 1,631,145,017,772 | 1,593,549,019,000 | 1,593,549,143,000 | 254,191,418 | 0 | 0 | null | 1,586,377,077,000 | 1,586,377,077,000 | null | UTF-8 | Lean | false | false | 38,128 | lean | -- Evaluates actions in an environment.
import galois.data.bitvec
import .common
import .machine_memory
import .sexpr
-- FIXME: move
def annotate {ε} {m} [monad m] [monad_except ε m]
{a} (f : ε -> ε) (c : m a) : m a := catch c (λe, throw (f e))
def annotate' {m} [monad m] [monad_except string m]
{a} (e : string) (c : m a) : m a := annotate (λs, e ++ ": " ++ s) c
namespace mc_semantics
-- This represents only nats (not lhs or expression binders), and is
-- used to instantiate nat_exprs
@[reducible]
def nat_env := list (option nat)
namespace nat_expr
@[reducible]
def eval (e : nat_env) : nat_expr -> option ℕ
| (lit n) := some n
| (var idx) := monad.join (list.nth e idx)
| (add e1 e2) := (+) <$> (eval e1) <*> (eval e2)
| (sub e1 e2) := (λx y, x - y) <$> (eval e1) <*> (eval e2)
| (mul e1 e2) := (*) <$> (eval e1) <*> (eval e2)
| (div e1 e2) := (/) <$> (eval e1) <*> (eval e2)
def wf_nat_expr (nenv : nat_env) : nat_expr -> Prop
| (lit _) := true
| (var idx) := option.is_some (monad.join (list.nth nenv idx))
| (add e1 e2) := wf_nat_expr e1 ∧ wf_nat_expr e2
| (sub e1 e2) := wf_nat_expr e1 ∧ wf_nat_expr e2
| (mul e1 e2) := wf_nat_expr e1 ∧ wf_nat_expr e2
| (div e1 e2) := wf_nat_expr e1 ∧ wf_nat_expr e2
lemma eval_add_eq {e} {x y} : eval e (x + y) = (+) <$> (eval e x) <*> (eval e y) :=
by { cases x; cases y; simp [ has_add.add, nat_expr.do_add, nat_expr.eval] }
lemma eval_sub_eq {e} {x y} : eval e (x - y) = (λx y, x - y) <$> (eval e x) <*> (eval e y) :=
by { cases x; cases y; simp [ has_sub.sub, nat_expr.do_sub, nat_expr.eval] }
lemma eval_mul_eq {e} {x y} : eval e (x * y) = (*) <$> (eval e x) <*> (eval e y) :=
by { cases x; cases y; simp [ has_mul.mul, nat_expr.do_mul, nat_expr.eval] }
@[reducible]
def eval_default (e : nat_env) : nat_expr -> ℕ
| (lit n) := n
| (var idx) := match list.nth e idx with | (some (some n)) := n | _ := 0 end
| (add e1 e2) := (eval_default e1) + (eval_default e2)
| (sub e1 e2) := (eval_default e1) - (eval_default e2)
| (mul e1 e2) := (eval_default e1) * (eval_default e2)
| (div e1 e2) := (eval_default e1) / (eval_default e2)
-- instance {nenv} : decidable_pred (wf_nat_expr nenv) :=
-- begin
-- unfold decidable_pred,
-- intros e,
-- induction e; simp [wf_nat_expr],
-- case lit { apply is_true, trivial },
-- case var { apply coe_decidable_eq },
-- apply_instance,
-- end
lemma eval_default_add_eq {e} {x y} : eval_default e (x + y) = (eval_default e x) + (eval_default e y) :=
by { cases x; cases y; simp [ has_add.add, nat_expr.do_add, eval_default] }
lemma eval_default_sub_eq {e} {x y} : eval_default e (x - y) = (eval_default e x) - (eval_default e y) :=
by { cases x; cases y; simp [ has_sub.sub, nat_expr.do_sub, nat_expr.eval_default] }
lemma eval_default_mul_eq {e} {x y} : eval_default e (x * y) = (eval_default e x) * (eval_default e y) :=
by { cases x; cases y; simp [ has_mul.mul, nat_expr.do_mul, nat_expr.eval_default] }
-- @[reducible]
-- def eval : nat_expr -> ℕ
-- | (nat_expr.lit n) := n
-- -- | (nat_expr.var idx) := match list.nth nat_env idx with | (some (some n)) := n | _ := 0 end
-- | (nat_expr.var idx) := 0
-- -- FIXME, maybe use sorry?
-- | (nat_expr.add e1 e2) := (eval e1) + (eval e2)
-- | (nat_expr.sub e1 e2) := (eval e1) - (eval e2)
-- | (nat_expr.mul e1 e2) := (eval e1) * (eval e2)
-- | (nat_expr.div e1 e2) := (eval e1) / (eval e2)
end nat_expr
namespace type
@[reducible]
def eval (nenv : nat_env) : type -> option type
| (bv e) := (λn, bv (nat_expr.lit n)) <$> nat_expr.eval nenv e
| (fn arg res) := fn <$> (eval arg) <*> (eval res)
| tp := return tp
def eval_default (nenv : nat_env) : type -> type
| (bv e) := bv (nat_expr.lit (nat_expr.eval_default nenv e))
| (fn arg res) := fn (eval_default arg) (eval_default res)
| tp := tp
def assert_types {m} [monad m] [monad_except string m]
(nenv : nat_env)
(t1 t2 : type) : m unit :=
if eval_default nenv t1 = eval_default nenv t2
then return ()
else throw $ "Type mismatch: " ++ t1.pp ++ " and " ++ t2.pp ++ " in " ++ repr nenv
def assert_bv {m} [monad m] [monad_except string m] (nenv : nat_env) (tp : type) : m ℕ :=
match tp with
| (bv e) := return (nat_expr.eval_default nenv e)
| _ := throw "Not a bitvecor"
end
end type
end mc_semantics
namespace x86
open mc_semantics
open mc_semantics.type
@[reducible]
def machine_word := bitvec 64
namespace reg
def inject : Π(rtp : gpreg_type), bitvec rtp.width' -> machine_word -> machine_word
| gpreg_type.reg32 b _ := bitvec.append (bitvec.zero 32) b
| gpreg_type.reg8h b old := old.set_bits 48 b (of_as_true trivial)
| rtp b old := old.set_bits (64 - rtp.width') b (begin cases rtp; simp end)
def project : Π(rtp : gpreg_type), machine_word -> bitvec rtp.width'
| gpreg_type.reg8h b := b.get_bits 48 8 (begin simp [gpreg_type.width'], exact dec_trivial end)
| rtp b := b.get_bits (64 - rtp.width') rtp.width' (begin cases rtp; simp end)
end reg
structure machine_state : Type :=
(mem : memory)
(gpregs : array 16 machine_word)
(flags : array 32 bool)
(ip : machine_word)
namespace machine_state
-- Constructs an empty machine state, with 0 where we need a value.
def empty : machine_state :=
{ mem := memory.empty
, gpregs := mk_array 16 0
, flags := mk_array 32 ff
, ip := 0
}
def get_gpreg (s : machine_state) (idx : fin 16) : machine_word := array.read s.gpregs idx
def update_gpreg (idx : fin 16) (f : machine_word -> machine_word) (s : machine_state) : machine_state :=
{ s with gpregs := array.write s.gpregs idx (f (get_gpreg s idx)) }
def get_flag (s : machine_state) (idx : fin 32) : bool := array.read s.flags idx
def update_flag (idx : fin 32) (f : bool -> bool) (s : machine_state) : machine_state :=
{ s with flags := array.write s.flags idx (f (get_flag s idx))}
-- def store_bytes (addr : machine_word) (bs : list (bitvec 8)) (s : machine_state) : machine_state :=
-- { s with mem := s.mem.store_bytes addr bs }
-- def read_bytes (s : machine_state) (addr : machine_word) (n : ℕ) : option (list (bitvec 8)) :=
-- s.mem.read_bytes addr n
-- lemma read_bytes_length {s : machine_state} {addr : machine_word} {n : ℕ} {bs : list (bitvec 8)}
-- : read_bytes s addr n = some bs -> bs.length = n := memory.read_bytes_length
def store_word {n : ℕ} (s : machine_state) (addr : machine_word) (b : bitvec (8 * n)) : machine_state :=
{ s with mem := s.mem.store_word addr b }
def read_word (s : machine_state) (addr : machine_word) (n : ℕ) : option (bitvec (8 * n)) :=
s.mem.read_word addr n
def print_regs (s : machine_state) : string :=
let lines := list.zip_with (λn (r : bitvec 64), n ++ ": " ++ r.pp_hex ++ ", ") reg.r64_names s.gpregs.to_list
in string.join lines
def print_set_flags (s : machine_state) : string :=
let lines := list.zip_with (λn (r : bool), if r then n else "") reg.flag_names s.flags.to_list
in "[" ++ string.intercalate ", " (list.filter (λs, s.length > 0) lines) ++ "]"
end machine_state
inductive arg_lval
| reg {} {tp : type} : concrete_reg tp -> arg_lval
| memloc (width : ℕ) (addr : machine_word) : arg_lval
namespace arg_lval
def repr : arg_lval -> string
| (reg r) := r.repr
| (memloc width addr) := has_repr.repr addr ++ "@" ++ has_repr.repr width
instance arg_lval_repr : has_repr arg_lval := ⟨repr⟩
end arg_lval
section with_nat_env
-- OS stuff
parameters (os_state : Type)
structure system_state :=
(machine_state : machine_state)
(os_state : os_state)
@[reducible]
def system_m := state_t system_state (except string)
parameter (os_transition : system_m unit)
parameter (nenv : nat_env)
@[reducible]
def eval_nat_expr (e : nat_expr) : nat
:= nat_expr.eval_default nenv e
@[reducible]
def eval_type : type -> type := type.eval_default nenv
-- | (bv e) := bv (nat_expr.lit (eval_nat_expr e))
-- | (fn arg res) := fn (eval_type arg) (eval_type res)
-- | tp := tp
@[reducible]
def value : type -> Type
| (bv e) := bitvec (eval_nat_expr e) -- We use the _normalised_ value here.
| bit := bool
| float := unit -- FIXME
| double := unit -- FIXME
| x86_80 := unit -- FIXME
| (vec w tp) := array (eval_nat_expr w) (value tp) -- FIXME
| (pair tp tp') := value tp × value tp'
| (fn arg res) := (value arg) -> (value res)
-- namespace value
-- def value.repr : Π{tp : type}, value tp -> string
-- | (bv e) b := has_repr.repr b
-- | (fn _ _ ) _ := "<function>"
-- | _ _ := "Unsupported type"
-- instance value_repr {tp : type} : has_repr (value tp) := ⟨value.repr⟩
-- end value
-- Corresponding to the binder type, more or less.
inductive arg_value
-- natv is here for completeness --- the presumption is that a
-- one_of param is only used in types, but in case it is not, we
-- include a binding in the environment,
| natv : ℕ -> arg_value
-- covers reg, addr, and lhs bindings
| lval : arg_lval -> arg_value
| rval {tp : type} : value tp -> arg_value
-- namespace arg_value
-- def repr : arg_value -> string
-- | (lval l) := l.repr
-- | (rval v) := v.repr
-- instance arg_value_repr : has_repr arg_value := ⟨repr⟩
-- end arg_value
@[reducible]
def environment := list arg_value
structure evaluator_state : Type :=
(system_state : system_state)
(environment : environment) -- read only, but reading can fail
(locals : rbmap ℕ (sigma value))
-- namespace evaluator_state
def evaluator_state.init (sst : system_state) : evaluator_state :=
{ system_state := sst
, environment := []
, locals := mk_rbmap ℕ (sigma value)
}
-- end evaluator_state
-- Monad for evaluating with failure. This nesting might be useful to get the ip where things break?
@[reducible]
def evaluator := state_t evaluator_state (except string)
-- FIXME: are these an oversight in the stdlib?
instance (ε): monad_except ε (except ε) :=
{ throw := λα e, except.error e, catch := λα m f, match m with | (except.error e) := f e | _ := m end }
instance (ε) (m) [monad_except ε m] : has_orelse m :=
{ orelse := λα, monad_except.orelse }
instance (ε) [inhabited ε] : alternative (except ε) :=
{ failure := λα, except.error (default ε)}
-- namespace type
-- If evaluation of the expr fails, we return the original type.
-- def normalise (e : environment) : type -> type
-- | (base b) := base (base_type.normalise e b)
-- | (fn arg res) := fn (normalise arg) (normalise res)
-- def equiv (e : environment) (t1 : type) (t2 : type) : Prop :=
-- normalise e t1 = normalise e t2
-- instance (e) : decidable_rel (equiv e) :=
-- λa b, begin simp [equiv], apply_instance end
-- end type
-- namespace value
lemma value.type_eval_is_id: Π{tp : type}, value (eval_type tp) = value tp :=
begin
intros,
induction tp,
case bv { refl },
case fn { simp [value, eval_type, type.eval_default], rw [ tp_ih_arg, tp_ih_res ] },
repeat { refl }
end
def value.eval_cong {tp tp' : type} (pf : eval_type tp = eval_type tp') (v : value tp) : value tp' :=
begin
rw <- value.type_eval_is_id,
rw <- value.type_eval_is_id at v,
exact (eq.rec v pf)
end
-- This allows us to resolve arith in nat_exprs
def value.type_check {m} [monad m] [monad_except string m] (tp : type) (v : value tp) (tp' : type)
: m (value tp') :=
if H : eval_type tp = eval_type tp'
then return (value.eval_cong H v)
else throw "type_check: arg type mismatch"
-- end value
-- namespace evaluator
def evaluator.run {a : Type} (m : evaluator a) (s : evaluator_state) : except string (a × evaluator_state) :=
(m.run s)
def evaluator.read_memory_at (addr : machine_word) (n : ℕ) : evaluator (bitvec n) := do
s <- get,
match s.system_state.machine_state.read_word addr (n / 8) with
| none := throw "read_memory_at: no bytes at addr"
| (some w) :=
if H : 8 * (n / 8) = n
then return (bitvec.cong H w)
else throw "evaluator.read_memory_at: width not a multiple of 8"
end
def evaluator.map_machine_state (f : machine_state → machine_state) : evaluator unit :=
modify (λ(s : evaluator_state), { s with system_state := { s.system_state with machine_state := f s.system_state.machine_state } })
def evaluator.write_memory_at : Π{tp : type} (addr : machine_word) (bytes : value tp), evaluator unit
| (bv e) addr bytes :=
let width := eval_nat_expr e
in (if H : width = 8 * (width / 8)
then evaluator.map_machine_state (λ(s : machine_state), s.store_word addr (bitvec.cong H bytes))
else throw "evaluator.write_memory_at: width not a multiple of 8")
| _ _ _ := throw "evaluator.write_memory_at not a bv"
def evaluator.arg_at_idx (idx : ℕ) : evaluator arg_value :=
do s <- get,
match s.environment.nth idx with
| (some a) := return a
| none := throw "evaluator.arg_at_idx: no arg at idx"
end
-- We should factor out the type check, although it might depend on
-- the functor (value in this case) if we generalise equality
def evaluator.local_at_idx (idx : ℕ) (tp : type) : evaluator (value tp) :=
do s <- get,
match s.locals.find idx with
| (some (sigma.mk tp' v)) := value.type_check _ v tp
| none := throw "local_at_idx: no arg at idx"
end
lemma width_width' : Π(rtp : gpreg_type), eval_nat_expr rtp.width = rtp.width' :=
begin
intro, induction rtp; trivial
end
def concrete_reg.set : Π{tp : type}, concrete_reg tp -> value tp -> evaluator unit
| ._ (concrete_reg.gpreg idx rtp) b :=
let b' : bitvec rtp.width' := eq.rec b (width_width' rtp)
in evaluator.map_machine_state (machine_state.update_gpreg idx (reg.inject rtp b'))
| ._ (concrete_reg.flagreg idx) b :=
evaluator.map_machine_state (machine_state.update_flag idx (λ_, b))
def concrete_reg.from_state : Π{tp : type}, concrete_reg tp -> machine_state -> value tp
| _ (concrete_reg.gpreg idx rtp) s :=
let v := reg.project rtp (s.get_gpreg idx)
in begin simp [value, width_width' nenv rtp], exact v end
| _ (concrete_reg.flagreg idx) s := s.get_flag idx
def concrete_reg.read {tp : type} (r : concrete_reg tp) : evaluator (value tp) :=
do s <- get,
return (concrete_reg.from_state r s.system_state.machine_state)
-- namespace arg_lval
def arg_lval.to_value' {m} [monad m] [monad_except string m]
(s : machine_state)
: arg_lval -> Π(tp : type), m (value tp)
| (@arg_lval.reg tp r) tp' := value.type_check tp (concrete_reg.from_state r s) tp'
| (arg_lval.memloc width addr) tp' :=
match s.read_word addr (width / 8) with
| none := throw "arg_lval.to_value': no bytes at addr"
| (some w) := value.type_check (bv (8 * (width / 8))) w tp'
end
def arg_lval.to_value : arg_lval -> Π(tp : type), evaluator (value tp)
| (@arg_lval.reg tp r) tp' := do v <- concrete_reg.read r,
value.type_check tp v tp'
| (arg_lval.memloc width addr) tp' := do
v <- evaluator.read_memory_at addr width,
value.type_check (bv width) v tp'
def arg_lval.set_value : arg_lval -> Π{tp : type}, value tp -> evaluator unit
| (@arg_lval.reg tp r) tp' v := do v' <- value.type_check _ v tp,
concrete_reg.set r v'
| (arg_lval.memloc _width addr) tp v := do
evaluator.write_memory_at addr v
-- def read_memory_at (av : arg_value) (n : ℕ) : evaluator (bitvec (8 * n)) :=
-- match av with
-- | (@arg_value.bv 64 addr) :=
-- | _ := throw "addr.read: not a 64-bit bitvecor"
-- end
-- Can fail if types mismatch
def arg_value.to_value : arg_value -> Π(tp : type), evaluator (value tp)
| (arg_value.natv _ _) _ := throw "arg_value.to_value: saw a natv"
| (arg_value.lval _ l) tp := arg_lval.to_value l tp
| (arg_value.rval v) tp := value.type_check _ v tp
def arg_value.set_value : arg_value -> Π{tp : type}, value tp -> evaluator unit
| (arg_value.lval _ l) tp v := arg_lval.set_value l v
| _ _ _ := throw "arg_value.set_value: not an lvalue"
def addr.read : Π{tp : type}, addr tp -> evaluator (value tp)
| tp (addr.arg idx) := do
av <- evaluator.arg_at_idx idx,
arg_value.to_value av tp -- FIXME: we should really check if this is a memloc first.
-- w <- av.read_memory_at n,
-- return (value.bv w)
def addr.set : Π{tp : type}, addr tp -> value tp -> evaluator unit
| tp (addr.arg idx) v := do
av <- evaluator.arg_at_idx idx, -- FIXME: we should really check if this is a memloc first.
arg_value.set_value av v
-- This is the least-worst option. The other alternative is to have a
-- value constructor for functions, which we only need here.
inductive {u v} hlist {α : Type u} (f : α -> Type v): list α -> Type (max u v)
| hnil : hlist []
| hcons {xs : list α} (x : α) : f x -> hlist xs -> hlist (x :: xs)
-- namespace nat_expr
-- def eval' (ne : nat_expr) : evaluator ℕ := do
-- s <- get,
-- match nat_expr.eval s.environment ne with
-- | none := throw "nat_expr.eval': couldn't eval"
-- | (some n) := return n
-- end
-- end nat_expr
-- def prim_binop (e : nat_expr) (p : Π{n : ℕ}, bitvec n -> bitvec n -> bitvec n) :=
-- evaluator.with_nat_expr_as_nat' (λi, value (bv i .→ bv i .→ bv i)) e (λn, return (@p n))
-- lemma eval_add_eq {x y} : eval_nat_expr (x + y) = (eval_nat_expr x + eval_nat_expr y) :=
-- begin
-- simp [eval_nat_expr, nat_expr.eval_add_eq, has_seq.seq],
-- end
-- by { cases x; cases y; simp [
-- has_add.add, has_seq.seq, nat_expr.do_add
-- , nat_expr.eval] }
-- FIXME: move
-- Might be easier to define in terms of to_int/from_int etc.
def bitvec.uext {n} (m : ℕ) (p: n ≤ m) (x:bitvec n) : bitvec m :=
bitvec.set_bits 0 0 x (begin simp, exact p end)
def bitvec.sext {n} (m : ℕ) (p: n ≤ m) (x:bitvec n) : bitvec m :=
bitvec.set_bits (if x.msb then (bitvec.zero m).not else 0) 0 x (begin simp, exact p end)
def bitvec.trunc {n} (m : ℕ) (p: m ≤ n) (x:bitvec n) : bitvec m :=
bitvec.get_bits x 0 m (begin simp, exact p end)
def bit_to_bitvec (n : ℕ) (b : bool) : bitvec n :=
if b then 1 else 0
lemma eval_default_2 {e} : nat_expr.eval_default e 2 = 2 := rfl
lemma nat_expr_eval_2 : eval_nat_expr 2 = 2 := rfl
def type.has_eq : type -> Prop
| (bv _) := true
| bit := true
| float := true
| double := true
| x86_80 := true
| (vec _ tp) := type.has_eq tp
| (pair tp tp') := type.has_eq tp ∧ type.has_eq tp'
| (fn _ _) := false -- could probably come up with something, but nothing efficient
@[reducible]
def type.has_eq_dec : Π(tp : type), decidable (type.has_eq tp)
| (bv _) := is_true true.intro
| bit := is_true true.intro
| float := is_true true.intro
| double := is_true true.intro
| x86_80 := is_true true.intro
| (vec _ tp) := type.has_eq_dec tp
| (pair tp tp') := @and.decidable _ _ (type.has_eq_dec tp) (type.has_eq_dec tp')
| (fn _ _) := is_false not_false
instance decidable_pred_type_has_eq: decidable_pred type.has_eq := type.has_eq_dec
def value.partial_eq : Π{tp : type}, type.has_eq tp -> value tp -> value tp -> bool
| (bv _) _ v1 v2 := (v1 = v2)
| bit _ v1 v2 := (v1 = v2)
| float _ v1 v2 := (v1 = v2)
| double _ v1 v2 := (v1 = v2)
| x86_80 _ v1 v2 := (v1 = v2)
| (vec _ tp) pf v1 v2 :=
let pf' : type.has_eq tp := pf
in (list.zip (array.to_list v1) (array.to_list v2)).all (λ(v : (value tp × value tp)), value.partial_eq pf' v.fst v.snd)
| (pair tp tp') pf v1 v2 :=
band (value.partial_eq pf.left v1.fst v2.fst) (value.partial_eq pf.right v1.snd v2.snd)
-- Returns the number of bits that are tt mod 2
def bitvec.parity {n : ℕ} (b : bitvec n) : bool :=
bitvec.foldl bxor ff b
example : bitvec.parity (3 : bitvec 4) = ff := by refl
example : bitvec.parity (7 : bitvec 4) = tt := by refl
def prim.eval : Π{tp : type}, prim tp -> evaluator (value tp)
-- `(eq tp)` returns `true` if two values are equal.
| ._ (prim.eq tp) :=
if pf : type.has_eq tp
then return (value.partial_eq pf)
else throw "prim.eval.eq: eq at unsupported type"
-- `(neq tp)` returns `true` if two values are not equal.
| ._ (prim.neq tp) :=
if pf : type.has_eq tp
then return (λv1 v2, bnot (value.partial_eq pf v1 v2))
else throw "prim.eval.neq: neq at unsupported type"
-- `(mux tp) c t f` evaluates to `t` when `c` is true and `f` otherwise.
-- This only evaluates `t` when `c` is true, and only evaluates `f` when
-- `c` is false.
| ._ (prim.mux tp) := return (λb l r, if b then l else r)
-- `zero` is the zero bit
| ._ prim.bit_zero := return ff
-- `one` is the one bit
| ._ prim.bit_one := return tt
| ._ prim.bit_or := return bor
| ._ prim.bit_and := return band
| ._ prim.bit_xor := return bxor
-- `bvnat` constructs a bit vector from a natural number.
| ._ (prim.bv_nat w n) := return (bitvec.of_nat (eval_nat_expr w) (eval_nat_expr n))
-- `(add i)` returns the sum of two i-bit numbers.
| ._ (prim.add i) := return bitvec.add
-- `(adc i)` returns the sum of two i-bit numbers and a carry bit.
| ._ (prim.adc i) := return (λx y b, bitvec.add x (bitvec.add y (bit_to_bitvec _ b)))
| ._ (prim.uadc_overflows i) := return (λx y b, bitvec.ult (x + y + bit_to_bitvec (eval_nat_expr i) b) x)
| ._ (prim.sadc_overflows i) := return (λx y b, bitvec.slt (x + y + bit_to_bitvec (eval_nat_expr i) b) x)
-- `(bvsub i)` substracts two i-bit bitvectors.
| ._ (prim.sub i) := return bitvec.sub
-- `(ssbb_overflows i)` true if signed sub overflows, the bit
-- is a borrow bit.
-- FIXME: is this correct?
| ._ (prim.ssbb_overflows i) :=
return (λx y b, bitvec.slt x (x - y - bit_to_bitvec (eval_nat_expr i) b))
-- `(usbb_overflows i)` true if unsigned sub overflows,
-- the bit is a borrow bit.
| ._ (prim.usbb_overflows i) := return (λx y b, bitvec.ult x (x - y - bit_to_bitvec (eval_nat_expr i) b))
-- `(neg tp)` Two's Complement negation.
| ._ (prim.neg i) := return bitvec.neg
-- `(mul i)` returns the product of two i-bit numbers.
| ._ (prim.mul i) := return bitvec.mul
-- `(quotRem i) n d` returns a pair `(q,r)` where `q` is a `floor (n/d)`
-- and `r` is `n - d * floor (n/d)`.
-- `n` and `d` are treated as unsigned values.
-- If `d = 0` or `floor(n/d) >= 2^n`, then this triggers a #DE exception.
| ._ (prim.quotRem i) := throw "prim.eval.quotRem unimplemented"
-- `(squotRem i) n d` returns a pair `(q,r)` where `q` is a `trunc (n/d)`
-- and `r` is `n - d * trunc (n/d)`. `trunc` always round to zero.
-- `n` and `d` are treated as signed values.
-- If `d = 0`, `trunc(n/d) >= 2^(n-1)` or `trunc(n/d) < -2^(n-1), then this
-- triggers a #DE exception when evaluated.
| ._ (prim.squotRem i) := throw "prim.eval.squotRem unimplemented"
| ._ (prim.ule i) := return (λx y, bitvec.ule x y)
| ._ (prim.ult i) := return (λx y, bitvec.ult x y)
-- `(slice w u l)` takes bits `u` through `l` out of a `w`-bit number.
-- prim (bv w .→ bv (u+1-l))
-- slice {w: ℕ} (u l k:ℕ) (H: w = k + (u + 1 - l)) (x: bitvec w) : bitvec (u + 1 - l)
| tp (prim.slice w u l) := do
let n := eval_nat_expr u + 1 - eval_nat_expr l,
H <- annotate' "slice" (assert (eval_nat_expr w = (eval_nat_expr w - n + n))),
return (begin
have rewr : value nenv (bv (u + 1 - l)) = value nenv (bv (nat_expr.lit n)) :=
begin simp [n, value, nat_expr.eval_default_sub_eq
, nat_expr.eval_default_add_eq
, eval_nat_expr, nat_expr.eval_default], rw add_comm, refl end,
simp [value], rw rewr,
exact (bitvec.slice (eval_nat_expr nenv u) (eval_nat_expr nenv l) (eval_nat_expr nenv w - n) H.default)
end)
-- `(sext i o)` sign extends an `i`-bit number to a `o`-bit number.
| ._ (prim.sext i o) := do H <- annotate' "sext" (assert (eval_nat_expr i ≤ eval_nat_expr o)),
return (bitvec.sext (eval_nat_expr o) H.default)
-- `(uext i o)` unsigned extension of an `i`-bit number to a `o`-bit number.
| ._ (prim.uext i o) := do H <- annotate' "uext" (assert (eval_nat_expr i ≤ eval_nat_expr o)),
return (bitvec.uext (eval_nat_expr o) H.default)
-- `(trunc i o)` truncates an `i`-bit number to a `o`-bit number.
| ._ (prim.trunc i o) := do H <- annotate' "trunc" (assert (eval_nat_expr o ≤ eval_nat_expr i)),
return (bitvec.trunc (eval_nat_expr o) H.default)
| ._ (prim.cat i) := return (λx y, bitvec.cong
(begin simp [eval_nat_expr, nat_expr.eval_default_mul_eq, nat_expr.eval, eval_default_2, two_mul],
end)
(bitvec.append x y))
-- | bv_least_nibble (i:ℕ) : prim (bv i .→ bv 4)
| ._ (prim.msb i) := return bitvec.msb
| ._ (prim.bv_and i) := return bitvec.and
| ._ (prim.bv_or i) := return bitvec.or
| ._ (prim.bv_xor i) := return bitvec.xor
| ._ (prim.bv_complement i) := return bitvec.not
| ._ (prim.shl i) := return (λx (y : bitvec 8), bitvec.shl x y.to_nat)
--- `(shl_carry w) c b i` returns the `i`th bit
--- in the bitvector [c]++b where `i` is treated as an unsigned
--- number with `0` as the most-significant bit.
-- e.g., If `i` is `0`, then this returns `c`. If `i`
-- exceeds the number of bits in `[c] ++ b` (i.e., i >= w+1),
-- the the result is false.
| ._ (prim.shl_carry w) := return (λc b (i : bitvec 8),
match i.to_nat with
| nat.zero := c
-- FIXME: is this the intended behaviour?
| (nat.succ n) := if n < eval_nat_expr w
then bitvec.nth b (eval_nat_expr w - n - 1) else ff
end)
--- `(shr i) x y` shifts the bits in `x` to the right by
--- `y` bits where `y` is treated as an unsigned integer.
--- The new bits shifted in from the right are all zero.
| ._ (prim.shr i) := return (λx (y : bitvec 8), bitvec.ushr x y.to_nat)
--- `(shr_carry w) b c i` returns the `i`th bit
--- in the bitvector b++[c] where `i` is treated as an unsigned
--- number with `0` as the least-significant bit.
-- e.g., If `i` is `0`, then this returns `c`. If `i`
-- exceeds the number of bits in `b++[c]` (i.e., i >= w+1),
-- the the result is false.
| ._ (prim.shr_carry w) := return (λb c (i : bitvec 8),
match i.to_nat with
| nat.zero := c
| (nat.succ n) := @ite (n < eval_nat_expr w) (nat.decidable_lt _ _) _ (bitvec.nth b n) ff
-- if n < eval_nat_expr w
-- then bitvec.nth b n
-- else ff
end)
--- `(sar i) x y` arithmetically shifts the bits in `x` to
--- the left by `y` bits where `y` is treated as an unsigned integer.
--- The new bits shifted in all match the most-significant bit in y.
| ._ (prim.sar i) := return (λx (y : bitvec 8), bitvec.sshr x y.to_nat)
--- `(sar_carry w) b c i` returns the `i`th bit
--- in the bitvector b++[c] where `i` is treated as an unsigned
--- number with `0` as the least-significant bit.
-- e.g., If `i` is `0`, then this returns `c`. If `i`
-- exceeds the number of bits in `b++[c]` (i.e., i >= w+1),
-- the the result is equal to the most-signfiicant bit.
| ._ (prim.sar_carry w) := return (λb c (i : bitvec 8),
match i.to_nat with
| nat.zero := c
| (nat.succ n) :=
@ite (n < eval_nat_expr w) (nat.decidable_lt _ _) _
(bitvec.nth b n)
(bitvec.msb b)
-- (if n < eval_nat_expr w
-- then bitvec.nth b n
-- else bitvec.msb b)
end)
| ._ (prim.even_parity i) := return (λb, bitvec.parity b = ff)
-- `(bsf i)` returns the index of least-significant bit that is 1.
| ._ (prim.bsf i) := throw "prim.eval.bsf unimplemented"
-- `(bsr i)` returns the index of most-significant bit that is 1.
| ._ (prim.bsr i) := throw "prim.eval.bsr unimplemented"
-- `(bswap i)` reverses the bytes in the bitvector.
| ._ (prim.bswap i) := throw "prim.eval.bswap unimplemented"
-- `(btc w j) base idx` interprets base as bitvector and returns
-- a bitvector contains the same bits as `base` except the `i`th bit
-- (where 0 denotes the least-significant bit) is complemented.
-- The value `i` is `idx` as a unsigned integer modulo `w`.
| ._ (prim.btc w j) := throw "prim.eval.btc unimplemented"
-- `(btr w j) base idx` interprets base as bitvector and returns
-- a bitvector contains the same bits as `base` except the `i`th bit
-- (where 0 denotes the least-significant bit) is cleared.
-- The value `i` is `idx` as a unsigned integer modulo `w`.
| ._ (prim.btr w j) := throw "prim.eval.btr unimplemented"
-- `(bts w j) base idx` interprets base as bitvector and returns
-- a bitvector contains the same bits as `base` except the `i`th bit
-- (where 0 denotes the least-significant bit) is set.
-- The value `i` is `idx` as a unsigned integer modulo `w`.
| ._ (prim.bts w j) := throw "prim.eval.bts unimplemented"
-- `bv_to_x86_80` converts a bitvector to an extended precision number (lossless)
| ._ (prim.bv_to_x86_80 w) := throw "prim.eval.bv_to_x86_80 unimplemented"
-- `float_to_x86_80` converts a float to an extended precision number (lossless)
| ._ prim.float_to_x86_80 := throw "prim.eval.float_to_x86_80 unimplemented"
-- `double_to_x86_80` converts a double to an extended precision number (lossless)
| ._ prim.double_to_x86_80 := throw "prim.eval.double_to_x86_80 unimplemented"
-- `x87_fadd` adds two extended precision values using the flags in the x87 register.
| ._ prim.x87_fadd := throw "prim.eval.dx87_fadd unimplemented"
-- Return first element of a pair
| ._ (prim.pair_fst x y) := return (λ(v : value x × value y), v.fst)
-- Return second element of a pair.
| ._ (prim.pair_snd x y) := return (λ(v : value x × value y), v.snd)
def value.make_undef : Π(tp : type), value tp
| (bv e) := bitvec.of_nat (eval_nat_expr e) 0
| bit := ff
| float := ()
| double := ()
| x86_80 := ()
| (vec w tp) := mk_array (eval_nat_expr w) (value.make_undef tp)
| (pair tp tp') := (value.make_undef tp, value.make_undef tp')
| (fn arg res) := λ_, value.make_undef res
def expression.eval : Π{tp : type}, expression tp -> evaluator (value tp)
| ._ (expression.primitive p) := prim.eval p
| ._ (@expression.bit_test wr wi re idxe) := do
r <- expression.eval re,
idx <- expression.eval idxe,
let idx' := idx.to_nat % eval_nat_expr wr
in return (r.nth idx')
| ._ (expression.mulc m xe) := do
x <- expression.eval xe,
return (bitvec.mul (bitvec.of_nat 64 (eval_nat_expr m)) x)
| ._ (expression.quotc m xe) := throw "expression.eval.quotc unimplemented"
| ._ (expression.undef tp) := return (value.make_undef tp)
| ._ (expression.app f a) := (expression.eval f) <*> (expression.eval a)
| ._ (expression.get_reg r) := concrete_reg.read r
| ._ (expression.read tp addre) := do
addr <- expression.eval addre,
match tp with
| (bv we) := evaluator.read_memory_at addr (eval_nat_expr we)
| _ := throw "expression.eval.read Trying to store non-bitvector"
end
| ._ (expression.streg idx) := throw "expression.eval.streg unimplemented"
| ._ (expression.get_local idx tp) := evaluator.local_at_idx idx tp
-- This is overly general, we might not know that av here is an rval
| ._ (expression.imm_arg idx tp) := do
av <- evaluator.arg_at_idx idx,
match av with
| (arg_value.rval v) := value.type_check _ v tp
| _ := throw "expression.eval.imm_arg Not an rval"
end
| ._ (expression.addr_arg idx) := do
av <- evaluator.arg_at_idx idx,
match av with
| (arg_value.lval _ (arg_lval.memloc _ addr)) := return addr
| _ := throw "expression.eval.addr_arg Not an memloc lval"
end
-- FIXME: isn't specific to arg_lval
| ._ (expression.read_arg idx tp) := do
av <- evaluator.arg_at_idx idx,
arg_value.to_value av tp
def evaluator.set_ip (new_ip : bitvec 64) : evaluator unit :=
evaluator.map_machine_state (λ(s : machine_state), { s with ip := new_ip })
def lhs.set : Π{tp : type}, lhs tp -> value tp -> evaluator unit
| ._ (lhs.set_reg r) v := concrete_reg.set r v
| ._ (lhs.write_addr ae tp) v := do
a <- expression.eval ae,
evaluator.write_memory_at a v
| ._ (lhs.write_arg idx _tp) v := do
av <- evaluator.arg_at_idx idx,
-- fixme: we ignore tp here?
arg_value.set_value av v
| ._ (lhs.streg idx) v := throw "lhs.set: unsupported FP write"
def lhs.read : Π{tp : type}, lhs tp -> evaluator (value tp)
| ._ (lhs.set_reg r) := concrete_reg.read r
| ._ (lhs.write_addr ae tp) := do
addr <- expression.eval ae,
match tp with
| (bv we) := evaluator.read_memory_at addr (eval_nat_expr we)
| _ := throw "lhs.read Trying to store non-bitvector"
end
| ._ (lhs.write_arg idx tp) := do
av <- evaluator.arg_at_idx idx,
-- fixme: we ignore tp here?
arg_value.to_value av tp
| ._ (lhs.streg idx) := throw "lhs.set: unsupported FP write"
def evaluator.push64 (v : value (bv 64)) : evaluator unit := do
sp <- lhs.read rsp,
let sp' := sp - 8 in do
lhs.set rsp sp',
evaluator.write_memory_at sp' v
def read_cpuid : evaluator unit :=
-- Copied from the cpuid results from my macbook
-- Note: CPUID is allowed to return 0s
let cpuid_values : rbmap ℕ (bitvec 32 × bitvec 32 × bitvec 32 × bitvec 32) :=
rbmap.from_list [ (0, (0xd, 0x756e6547, 0x6c65746e, 0x49656e69))
, (1, (0x40661, 0x2100800, 0x7ffafbff, 0xbfebfbff))
, (2, (0x76036301, 0xf0b5ff, 0x0, 0xc10000))
, (3, (0x0, 0x0, 0x0, 0x0))
, (4, (0x1c004121, 0x1c0003f, 0x3f, 0x0))
, (5, (0x40, 0x40, 0x3, 0x42120))
, (6, (0x77, 0x2, 0x9, 0x0))
, (7, (0x0, 0x27ab, 0x0, 0x9c000000))
, (8, (0x0, 0x0, 0x0, 0x0))
, (9, (0x0, 0x0, 0x0, 0x0))
, (10, (0x7300403, 0x0, 0x0, 0x603))
, (11, (0x1, 0x2, 0x100, 0x6))
, (12, (0x0, 0x0, 0x0, 0x0))
, (13, (0x7, 0x340, 0x340, 0x0))
, (2147483648, (0x80000008, 0x0, 0x0, 0x0))
, (2147483649, (0x0, 0x0, 0x21, 0x2c100800))
, (2147483650, (0x65746e49, 0x2952286c, 0x726f4320, 0x4d542865))
, (2147483651, (0x37692029, 0x3839342d, 0x20514830, 0x20555043))
, (2147483652, (0x2e322040, 0x48473038, 0x7a, 0x0))
, (2147483653, (0x0, 0x0, 0x0, 0x0))
, (2147483654, (0x0, 0x0, 0x1006040, 0x0))
, (2147483655, (0x0, 0x0, 0x0, 0x100))
, (2147483656, (0x3027, 0x0, 0x0, 0x0))
] in -- FIXME: we need to look at rcx sometimes as well
let cpuid_fn (n : ℕ) : (bitvec 32 × bitvec 32 × bitvec 32 × bitvec 32) :=
match cpuid_values.find n with
| none := (0, 0, 0, 0)
| (some r) := r
end
in do
raxv <- lhs.read rax,
match cpuid_fn raxv.to_nat with
| (axv, bxv, cxv, dxv) := do
lhs.set eax axv,
lhs.set ebx bxv,
lhs.set ecx cxv,
lhs.set edx dxv
end
def event.eval : event -> evaluator unit
| event.syscall :=
adapt_state (λ(s : evaluator_state), (s.system_state, s))
(λs s', { s' with system_state := s })
os_transition
| (event.unsupported msg) := throw ("event.eval: unsupported: " ++ msg)
| event.pop_x87_register_stack := throw "pop_x87_register_stack"
| (event.call addr) := do
new_ip <- expression.eval addr,
s <- get,
evaluator.push64 s.system_state.machine_state.ip,
evaluator.set_ip new_ip
| (event.jmp addr) := do
new_ip <- expression.eval addr,
evaluator.set_ip new_ip
| (event.branch c addr) := do
new_ip <- expression.eval addr,
b <- expression.eval c,
when b (evaluator.set_ip new_ip)
| event.hlt := throw "halt"
| (event.xchg addr1 addr2) := throw "xchg"
| event.cpuid := read_cpuid
-- def lhs.read : Π{tp : type}, lhs tp -> evaluator (value tp)
-- | ._ (lhs.reg r) := reg.read r
-- | ._ (lhs.addr a) := addr.read a
-- | ._ (lhs.arg idx tp) := do av <- evaluator.arg_at_idx idx,
-- arg_value.to_value av tp
-- | ._ (lhs.streg idx) := throw "lhs.read: unsupported FP read"
def action.eval : action -> evaluator unit
| (action.set l e) := do v <- expression.eval e,
lhs.set l v
| (action.set_cond l c e) := do
b <- expression.eval c,
v <- expression.eval e,
when b (lhs.set l v)
| (@action.set_aligned (bv _) l e align) := do
v <- expression.eval e,
if v.to_nat % eval_nat_expr align = 0
then lhs.set l v
else throw "Unaligned set_aligned"
| (@action.set_aligned _ l e align) := throw "set_aligned: not a bv"
| (@action.local_def tp idx e) := do
v <- expression.eval e,
modify (λs, { s with locals := s.locals.insert idx (sigma.mk tp v)})
| (action.event e) := event.eval e
-- FIXME: check pattern.context |- environment
def pattern.eval (p : pattern) (e : environment) (s : system_state) : except string system_state :=
-- only machine_state is preserved across instructions
let st := { evaluator_state.init s with environment := e }
in do (_, s') <- evaluator.run (monad.mapm' action.eval p.actions) st, return s'.system_state
end with_nat_env
end x86
|
ee5c0d851d53d796f06c3e0290445ed9ba6d54fc | 4950bf76e5ae40ba9f8491647d0b6f228ddce173 | /src/category_theory/sites/sheaf.lean | 4cb48c2e0b22c42e471829c06d26985cf2328f5c | [
"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 | 33,338 | lean | /-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta
-/
import category_theory.sites.pretopology
import category_theory.limits.shapes.types
import category_theory.full_subcategory
/-!
# Sheaves on a Grothendieck topology
Defines the notion of a sheaf on a Grothendieck topology, as well as a range of equivalent
conditions useful in different situations.
First define what it means for a presheaf `P : Cᵒᵖ ⥤ Type v` to be a sheaf *for* a particular
presieve `R` on `X`:
* A *family of elements* `x` for `P` at `R` is an element `x_f` of `P Y` for every `f : Y ⟶ X` in
`R`. See `family_of_elements`.
* The family `x` is *compatible* if, for any `f₁ : Y₁ ⟶ X` and `f₂ : Y₂ ⟶ X` both in `R`,
and any `g₁ : Z ⟶ Y₁` and `g₂ : Z ⟶ Y₂` such that `g₁ ≫ f₁ = g₂ ≫ f₂`, the restriction of
`x_f₁` along `g₁` agrees with the restriction of `x_f₂` along `g₂`.
See `family_of_elements.compatible`.
* An *amalgamation* `t` for the family is an element of `P X` such that for every `f : Y ⟶ X` in
`R`, the restriction of `t` on `f` is `x_f`.
See `family_of_elements.is_amalgamation`.
We then say `P` is *separated* for `R` if every compatible family has at most one amalgamation,
and it is a *sheaf* for `R` if every compatible family has a unique amalgamation.
See `is_separated_for` and `is_sheaf_for`.
In the special case where `R` is a sieve, the compatibility condition can be simplified:
* The family `x` is *compatible* if, for any `f : Y ⟶ X` in `R` and `g : Z ⟶ Y`, the restriction of
`x_f` along `g` agrees with `x_(g ≫ f)` (which is well defined since `g ≫ f` is in `R`).
See `family_of_elements.sieve_compatible` and `compatible_iff_sieve_compatible`.
In the special case where `C` has pullbacks, the compatibility condition can be simplified:
* The family `x` is *compatible* if, for any `f : Y ⟶ X` and `g : Z ⟶ X` both in `R`,
the restriction of `x_f` along `π₁ : pullback f g ⟶ Y` agrees with the restriction of `x_g`
along `π₂ : pullback f g ⟶ Z`.
See `family_of_elements.pullback_compatible` and `pullback_compatible_iff`.
Now given a Grothendieck topology `J`, `P` is a sheaf if it is a sheaf for every sieve in the
topology. See `is_sheaf`.
In the case where the topology is generated by a basis, it suffices to check `P` is a sheaf for
every sieve in the pretopology. See `is_sheaf_pretopology`.
We also provide equivalent conditions to satisfy alternate definitions given in the literature.
* Stacks: In `equalizer.presieve.sheaf_condition`, the sheaf condition at a presieve is shown to be
equivalent to that of https://stacks.math.columbia.edu/tag/00VM (and combined with
`is_sheaf_pretopology`, this shows the notions of `is_sheaf` are exactly equivalent.)
The condition of https://stacks.math.columbia.edu/tag/00Z8 is virtually identical to the
statement of `yoneda_condition_iff_sheaf_condition` (since the bijection described there carries
the same information as the unique existence.)
* Maclane-Moerdijk [MM92]: Using `compatible_iff_sieve_compatible`, the definitions of `is_sheaf`
are equivalent. There are also alternate definitions given:
- Yoneda condition: Defined in `yoneda_sheaf_condition` and equivalence in
`yoneda_condition_iff_sheaf_condition`.
- Equalizer condition (Equation 3): Defined in the `equalizer.sieve` namespace, and equivalence
in `equalizer.sieve.sheaf_condition`.
- Matching family for presieves with pullback: `pullback_compatible_iff`.
- Sheaf for a pretopology (Prop 1): `is_sheaf_pretopology` combined with the previous.
- Sheaf for a pretopology as equalizer (Prop 1, bis): `equalizer.presieve.sheaf_condition`
combined with the previous.
## Implementation
The sheaf condition is given as a proposition, rather than a subsingleton in `Type (max u v)`.
This doesn't seem to make a big difference, other than making a couple of definitions noncomputable,
but it means that equivalent conditions can be given as `↔` statements rather than `≃` statements,
which can be convenient.
## References
* [MM92]: *Sheaves in geometry and logic*, Saunders MacLane, and Ieke Moerdijk:
Chapter III, Section 4.
* [Elephant]: *Sketches of an Elephant*, P. T. Johnstone: C2.1.
* https://stacks.math.columbia.edu/tag/00VL (sheaves on a pretopology or site)
* https://stacks.math.columbia.edu/tag/00ZB (sheaves on a topology)
-/
universes v u
namespace category_theory
open opposite category_theory category limits sieve classical
namespace presieve
variables {C : Type u} [category.{v} C]
variables {P : Cᵒᵖ ⥤ Type v}
variables {X Y : C} {S : sieve X} {R : presieve X}
variables (J J₂ : grothendieck_topology C)
/--
A family of elements for a presheaf `P` given a collection of arrows `R` with fixed codomain `X`
consists of an element of `P Y` for every `f : Y ⟶ X` in `R`.
A presheaf is a sheaf (resp, separated) if every *compatible* family of elements has exactly one
(resp, at most one) amalgamation.
This data is referred to as a `family` in [MM92], Chapter III, Section 4. It is also a concrete
version of the elements of the middle object in https://stacks.math.columbia.edu/tag/00VM which is
more useful for direct calculations. It is also used implicitly in Definition C2.1.2 in [Elephant].
-/
def family_of_elements (P : Cᵒᵖ ⥤ Type v) (R : presieve X) :=
Π ⦃Y : C⦄ (f : Y ⟶ X), R f → P.obj (op Y)
instance : inhabited (family_of_elements P (⊥ : presieve X)) := ⟨λ Y f, false.elim⟩
/--
A family of elements for a presheaf on the presieve `R₂` can be restricted to a smaller presieve
`R₁`.
-/
def family_of_elements.restrict {R₁ R₂ : presieve X} (h : R₁ ≤ R₂) :
family_of_elements P R₂ → family_of_elements P R₁ :=
λ x Y f hf, x f (h _ hf)
/--
A family of elements for the arrow set `R` is *compatible* if for any `f₁ : Y₁ ⟶ X` and
`f₂ : Y₂ ⟶ X` in `R`, and any `g₁ : Z ⟶ Y₁` and `g₂ : Z ⟶ Y₂`, if the square `g₁ ≫ f₁ = g₂ ≫ f₂`
commutes then the elements of `P Z` obtained by restricting the element of `P Y₁` along `g₁` and
restricting the element of `P Y₂` along `g₂` are the same.
In special cases, this condition can be simplified, see `pullback_compatible_iff` and
`compatible_iff_sieve_compatible`.
This is referred to as a "compatible family" in Definition C2.1.2 of [Elephant], and on nlab:
https://ncatlab.org/nlab/show/sheaf#GeneralDefinitionInComponents
-/
def family_of_elements.compatible (x : family_of_elements P R) : Prop :=
∀ ⦃Y₁ Y₂ Z⦄ (g₁ : Z ⟶ Y₁) (g₂ : Z ⟶ Y₂) ⦃f₁ : Y₁ ⟶ X⦄ ⦃f₂ : Y₂ ⟶ X⦄
(h₁ : R f₁) (h₂ : R f₂), g₁ ≫ f₁ = g₂ ≫ f₂ → P.map g₁.op (x f₁ h₁) = P.map g₂.op (x f₂ h₂)
/--
If the category `C` has pullbacks, this is an alternative condition for a family of elements to be
compatible: For any `f : Y ⟶ X` and `g : Z ⟶ X` in the presieve `R`, the restriction of the
given elements for `f` and `g` to the pullback agree.
This is equivalent to being compatible (provided `C` has pullbacks), shown in
`pullback_compatible_iff`.
This is the definition for a "matching" family given in [MM92], Chapter III, Section 4,
Equation (5). Viewing the type `family_of_elements` as the middle object of the fork in
https://stacks.math.columbia.edu/tag/00VM, this condition expresses that `pr₀* (x) = pr₁* (x)`,
using the notation defined there.
-/
def family_of_elements.pullback_compatible (x : family_of_elements P R) [has_pullbacks C] : Prop :=
∀ ⦃Y₁ Y₂⦄ ⦃f₁ : Y₁ ⟶ X⦄ ⦃f₂ : Y₂ ⟶ X⦄ (h₁ : R f₁) (h₂ : R f₂),
P.map (pullback.fst : pullback f₁ f₂ ⟶ _).op (x f₁ h₁) = P.map pullback.snd.op (x f₂ h₂)
lemma pullback_compatible_iff (x : family_of_elements P R) [has_pullbacks C] :
x.compatible ↔ x.pullback_compatible :=
begin
split,
{ intros t Y₁ Y₂ f₁ f₂ hf₁ hf₂,
apply t,
apply pullback.condition },
{ intros t Y₁ Y₂ Z g₁ g₂ f₁ f₂ hf₁ hf₂ comm,
rw [←pullback.lift_fst _ _ comm, op_comp, functor_to_types.map_comp_apply, t hf₁ hf₂,
←functor_to_types.map_comp_apply, ←op_comp, pullback.lift_snd] }
end
/-- The restriction of a compatible family is compatible. -/
lemma family_of_elements.compatible.restrict {R₁ R₂ : presieve X} (h : R₁ ≤ R₂)
{x : family_of_elements P R₂} : x.compatible → (x.restrict h).compatible :=
λ q Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ comm, q g₁ g₂ (h _ h₁) (h _ h₂) comm
/--
Extend a family of elements to the sieve generated by an arrow set.
This is the construction described as "easy" in Lemma C2.1.3 of [Elephant].
-/
noncomputable def family_of_elements.sieve_extend (x : family_of_elements P R) :
family_of_elements P (generate R) :=
λ Z f hf, P.map (some (some_spec hf)).op (x _ (some_spec (some_spec (some_spec hf))).1)
/-- The extension of a compatible family to the generated sieve is compatible. -/
lemma family_of_elements.compatible.sieve_extend (x : family_of_elements P R) (hx : x.compatible) :
x.sieve_extend.compatible :=
begin
intros Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ comm,
rw [←(some_spec (some_spec (some_spec h₁))).2, ←(some_spec (some_spec (some_spec h₂))).2,
←assoc, ←assoc] at comm,
dsimp [family_of_elements.sieve_extend],
rw [← functor_to_types.map_comp_apply, ← functor_to_types.map_comp_apply],
apply hx _ _ _ _ comm,
end
/-- The extension of a family agrees with the original family. -/
lemma extend_agrees {x : family_of_elements P R} (t : x.compatible) {f : Y ⟶ X} (hf : R f) :
x.sieve_extend f ⟨_, 𝟙 _, f, hf, id_comp _⟩ = x f hf :=
begin
have h : (generate R) f := ⟨_, _, _, hf, id_comp _⟩,
change P.map (some (some_spec h)).op (x _ _) = x f hf,
rw t (some (some_spec h)) (𝟙 _) _ hf _,
{ simp },
simp_rw [id_comp],
apply (some_spec (some_spec (some_spec h))).2,
end
/-- The restriction of an extension is the original. -/
@[simp]
lemma restrict_extend {x : family_of_elements P R} (t : x.compatible) :
x.sieve_extend.restrict (le_generate R) = x :=
begin
ext Y f hf,
exact extend_agrees t hf,
end
/--
If the arrow set for a family of elements is actually a sieve (i.e. it is downward closed) then the
consistency condition can be simplified.
This is an equivalent condition, see `compatible_iff_sieve_compatible`.
This is the notion of "matching" given for families on sieves given in [MM92], Chapter III,
Section 4, Equation 1, and nlab: https://ncatlab.org/nlab/show/matching+family.
See also the discussion before Lemma C2.1.4 of [Elephant].
-/
def family_of_elements.sieve_compatible (x : family_of_elements P S) : Prop :=
∀ ⦃Y Z⦄ (f : Y ⟶ X) (g : Z ⟶ Y) (hf), x (g ≫ f) (S.downward_closed hf g) = P.map g.op (x f hf)
lemma compatible_iff_sieve_compatible (x : family_of_elements P S) :
x.compatible ↔ x.sieve_compatible :=
begin
split,
{ intros h Y Z f g hf,
simpa using h (𝟙 _) g (S.downward_closed hf g) hf (id_comp _) },
{ intros h Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ k,
simp_rw [← h f₁ g₁ h₁, k, h f₂ g₂ h₂] }
end
lemma family_of_elements.compatible.to_sieve_compatible {x : family_of_elements P S}
(t : x.compatible) : x.sieve_compatible :=
(compatible_iff_sieve_compatible x).1 t
/--
Two compatible families on the sieve generated by a presieve `R` are equal if and only if they are
equal when restricted to `R`.
-/
lemma restrict_inj {x₁ x₂ : family_of_elements P (generate R)}
(t₁ : x₁.compatible) (t₂ : x₂.compatible) :
x₁.restrict (le_generate R) = x₂.restrict (le_generate R) → x₁ = x₂ :=
begin
intro h,
ext Z f ⟨Y, f, g, hg, rfl⟩,
rw compatible_iff_sieve_compatible at t₁ t₂,
erw [t₁ g f ⟨_, _, g, hg, id_comp _⟩, t₂ g f ⟨_, _, g, hg, id_comp _⟩],
congr' 1,
apply congr_fun (congr_fun (congr_fun h _) g) hg,
end
/--
Given a family of elements `x` for the sieve `S` generated by a presieve `R`, if `x` is restricted
to `R` and then extended back up to `S`, the resulting extension equals `x`.
-/
@[simp]
lemma extend_restrict {x : family_of_elements P (generate R)} (t : x.compatible) :
(x.restrict (le_generate R)).sieve_extend = x :=
begin
apply restrict_inj,
{ exact (t.restrict (le_generate R)).sieve_extend _ },
{ exact t },
rw restrict_extend,
exact t.restrict (le_generate R),
end
/--
The given element `t` of `P.obj (op X)` is an *amalgamation* for the family of elements `x` if every
restriction `P.map f.op t = x_f` for every arrow `f` in the presieve `R`.
This is the definition given in https://ncatlab.org/nlab/show/sheaf#GeneralDefinitionInComponents,
and https://ncatlab.org/nlab/show/matching+family, as well as [MM92], Chapter III, Section 4,
equation (2).
-/
def family_of_elements.is_amalgamation (x : family_of_elements P R)
(t : P.obj (op X)) : Prop :=
∀ ⦃Y : C⦄ (f : Y ⟶ X) (h : R f), P.map f.op t = x f h
lemma is_compatible_of_exists_amalgamation (x : family_of_elements P R)
(h : ∃ t, x.is_amalgamation t) : x.compatible :=
begin
cases h with t ht,
intros Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ comm,
rw [←ht _ h₁, ←ht _ h₂, ←functor_to_types.map_comp_apply, ←op_comp, comm],
simp,
end
lemma is_amalgamation_restrict {R₁ R₂ : presieve X} (h : R₁ ≤ R₂)
(x : family_of_elements P R₂) (t : P.obj (op X)) (ht : x.is_amalgamation t) :
(x.restrict h).is_amalgamation t :=
λ Y f hf, ht f (h Y hf)
lemma is_amalgamation_sieve_extend {R : presieve X}
(x : family_of_elements P R) (t : P.obj (op X)) (ht : x.is_amalgamation t) :
x.sieve_extend.is_amalgamation t :=
begin
intros Y f hf,
dsimp [family_of_elements.sieve_extend],
rw [←ht _, ←functor_to_types.map_comp_apply, ←op_comp, (some_spec (some_spec (some_spec hf))).2],
end
/-- A presheaf is separated for a presieve if there is at most one amalgamation. -/
def is_separated_for (P : Cᵒᵖ ⥤ Type v) (R : presieve X) : Prop :=
∀ (x : family_of_elements P R) (t₁ t₂),
x.is_amalgamation t₁ → x.is_amalgamation t₂ → t₁ = t₂
lemma is_separated_for.ext {R : presieve X} (hR : is_separated_for P R)
{t₁ t₂ : P.obj (op X)} (h : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄ (hf : R f), P.map f.op t₁ = P.map f.op t₂) :
t₁ = t₂ :=
hR (λ Y f hf, P.map f.op t₂) t₁ t₂ (λ Y f hf, h hf) (λ Y f hf, rfl)
lemma is_separated_for_iff_generate :
is_separated_for P R ↔ is_separated_for P (generate R) :=
begin
split,
{ intros h x t₁ t₂ ht₁ ht₂,
apply h (x.restrict (le_generate R)) t₁ t₂ _ _,
{ exact is_amalgamation_restrict _ x t₁ ht₁ },
{ exact is_amalgamation_restrict _ x t₂ ht₂ } },
{ intros h x t₁ t₂ ht₁ ht₂,
apply h (x.sieve_extend),
{ exact is_amalgamation_sieve_extend x t₁ ht₁ },
{ exact is_amalgamation_sieve_extend x t₂ ht₂ } }
end
lemma is_separated_for_top (P : Cᵒᵖ ⥤ Type v) : is_separated_for P (⊤ : presieve X) :=
λ x t₁ t₂ h₁ h₂,
begin
have q₁ := h₁ (𝟙 X) (by simp),
have q₂ := h₂ (𝟙 X) (by simp),
simp only [op_id, functor_to_types.map_id_apply] at q₁ q₂,
rw [q₁, q₂],
end
/--
We define `P` to be a sheaf for the presieve `R` if every compatible family has a unique
amalgamation.
This is the definition of a sheaf for the given presieve given in C2.1.2 of [Elephant], and
https://ncatlab.org/nlab/show/sheaf#GeneralDefinitionInComponents. Using `compatible_iff_sieve_compatible`,
this is equivalent to the definition of a sheaf in [MM92], Chapter III, Section 4.
-/
def is_sheaf_for (P : Cᵒᵖ ⥤ Type v) (R : presieve X) : Prop :=
∀ (x : family_of_elements P R), x.compatible → ∃! t, x.is_amalgamation t
/--
This is an equivalent condition to be a sheaf, which is useful for the abstraction to local
operators on elementary toposes. However this definition is defined only for sieves, not presieves.
The equivalence between this and `is_sheaf_for` is given in `yoneda_condition_iff_sheaf_condition`.
This version is also useful to establish that being a sheaf is preserved under isomorphism of
presheaves.
See the discussion before Equation (3) of [MM92], Chapter III, Section 4. See also C2.1.4 of
[Elephant]. This is also a direct reformulation of https://stacks.math.columbia.edu/tag/00Z8.
-/
def yoneda_sheaf_condition (P : Cᵒᵖ ⥤ Type v) (S : sieve X) : Prop :=
∀ (f : S.functor ⟶ P), ∃! g, S.functor_inclusion ≫ g = f
/--
(Implementation). This is a (primarily internal) equivalence between natural transformations
and compatible families.
Cf the discussion after Lemma 7.47.10 in https://stacks.math.columbia.edu/tag/00YW. See also
the proof of C2.1.4 of [Elephant], and the discussion in [MM92], Chapter III, Section 4.
-/
def nat_trans_equiv_compatible_family :
(S.functor ⟶ P) ≃ {x : family_of_elements P S // x.compatible} :=
{ to_fun := λ α,
begin
refine ⟨λ Y f hf, _, _⟩,
{ apply α.app (op Y) ⟨_, hf⟩ },
{ rw compatible_iff_sieve_compatible,
intros Y Z f g hf,
dsimp,
rw ← functor_to_types.naturality _ _ α g.op,
refl }
end,
inv_fun := λ t,
{ app := λ Y f, t.1 _ f.2,
naturality' := λ Y Z g,
begin
ext ⟨f, hf⟩,
apply t.2.to_sieve_compatible _,
end },
left_inv := λ α,
begin
ext X ⟨_, _⟩,
refl
end,
right_inv :=
begin
rintro ⟨x, hx⟩,
refl,
end }
/-- (Implementation). A lemma useful to prove `yoneda_condition_iff_sheaf_condition`. -/
lemma extension_iff_amalgamation (x : S.functor ⟶ P) (g : yoneda.obj X ⟶ P) :
S.functor_inclusion ≫ g = x ↔
(nat_trans_equiv_compatible_family x).1.is_amalgamation (yoneda_equiv g) :=
begin
change _ ↔ ∀ ⦃Y : C⦄ (f : Y ⟶ X) (h : S f), P.map f.op (yoneda_equiv g) = x.app (op Y) ⟨f, h⟩,
split,
{ rintro rfl Y f hf,
rw yoneda_equiv_naturality,
dsimp,
simp }, -- See note [dsimp, simp].
{ intro h,
ext Y ⟨f, hf⟩,
have : _ = x.app Y _ := h f hf,
rw yoneda_equiv_naturality at this,
rw ← this,
dsimp,
simp }, -- See note [dsimp, simp].
end
/--
The yoneda version of the sheaf condition is equivalent to the sheaf condition.
C2.1.4 of [Elephant].
-/
lemma yoneda_condition_iff_sheaf_condition :
is_sheaf_for P S ↔ yoneda_sheaf_condition P S :=
begin
rw [is_sheaf_for, yoneda_sheaf_condition],
simp_rw [extension_iff_amalgamation],
rw equiv.forall_congr_left' nat_trans_equiv_compatible_family,
rw subtype.forall,
apply ball_congr,
intros x hx,
rw equiv.exists_unique_congr_left _,
simp,
end
/-- `P` is a sheaf for `R` iff it is separated for `R` and there exists an amalgamation. -/
lemma is_separated_for_and_exists_is_amalgamation_iff_sheaf_for :
is_separated_for P R ∧ (∀ (x : family_of_elements P R), x.compatible → ∃ t, x.is_amalgamation t) ↔
is_sheaf_for P R :=
begin
rw [is_separated_for, ←forall_and_distrib],
apply forall_congr,
intro x,
split,
{ intros z hx, exact exists_unique_of_exists_of_unique (z.2 hx) z.1 },
{ intros h,
refine ⟨_, (exists_of_exists_unique ∘ h)⟩,
intros t₁ t₂ ht₁ ht₂,
apply (h _).unique ht₁ ht₂,
exact is_compatible_of_exists_amalgamation x ⟨_, ht₂⟩ }
end
/--
If `P` is separated for `R` and every family has an amalgamation, then `P` is a sheaf for `R`.
-/
lemma is_separated_for.is_sheaf_for (t : is_separated_for P R) :
(∀ (x : family_of_elements P R), x.compatible → ∃ t, x.is_amalgamation t) →
is_sheaf_for P R :=
begin
rw ← is_separated_for_and_exists_is_amalgamation_iff_sheaf_for,
exact and.intro t,
end
/-- If `P` is a sheaf for `R`, it is separated for `R`. -/
lemma is_sheaf_for.is_separated_for : is_sheaf_for P R → is_separated_for P R :=
λ q, (is_separated_for_and_exists_is_amalgamation_iff_sheaf_for.2 q).1
/-- Get the amalgamation of the given compatible family, provided we have a sheaf. -/
noncomputable def is_sheaf_for.amalgamate
(t : is_sheaf_for P R) (x : family_of_elements P R) (hx : x.compatible) :
P.obj (op X) :=
classical.some (t x hx).exists
lemma is_sheaf_for.is_amalgamation
(t : is_sheaf_for P R) {x : family_of_elements P R} (hx : x.compatible) :
x.is_amalgamation (t.amalgamate x hx) :=
classical.some_spec (t x hx).exists
@[simp]
lemma is_sheaf_for.valid_glue
(t : is_sheaf_for P R) {x : family_of_elements P R} (hx : x.compatible) (f : Y ⟶ X) (Hf : R f) :
P.map f.op (t.amalgamate x hx) = x f Hf :=
t.is_amalgamation hx f Hf
/-- C2.1.3 in [Elephant] -/
lemma is_sheaf_for_iff_generate :
is_sheaf_for P R ↔ is_sheaf_for P (generate R) :=
begin
rw ← is_separated_for_and_exists_is_amalgamation_iff_sheaf_for,
rw ← is_separated_for_and_exists_is_amalgamation_iff_sheaf_for,
rw ← is_separated_for_iff_generate,
apply and_congr (iff.refl _),
split,
{ intros q x hx,
apply exists_imp_exists _ (q _ (hx.restrict (le_generate R))),
intros t ht,
simpa [hx] using is_amalgamation_sieve_extend _ _ ht },
{ intros q x hx,
apply exists_imp_exists _ (q _ (hx.sieve_extend _)),
intros t ht,
simpa [hx] using is_amalgamation_restrict (le_generate R) _ _ ht },
end
/--
Every presheaf is a sheaf for the family {𝟙 X}.
[Elephant] C2.1.5(i)
-/
lemma is_sheaf_for_singleton_iso (P : Cᵒᵖ ⥤ Type v) :
is_sheaf_for P (presieve.singleton (𝟙 X)) :=
begin
intros x hx,
refine ⟨x _ (presieve.singleton_self _), _, _⟩,
{ rintro _ _ ⟨rfl, rfl⟩,
simp },
{ intros t ht,
simpa using ht _ (presieve.singleton_self _) }
end
/--
Every presheaf is a sheaf for the maximal sieve.
[Elephant] C2.1.5(ii)
-/
lemma is_sheaf_for_top_sieve (P : Cᵒᵖ ⥤ Type v) :
is_sheaf_for P ((⊤ : sieve X) : presieve X) :=
begin
rw ← generate_of_singleton_split_epi (𝟙 X),
rw ← is_sheaf_for_iff_generate,
apply is_sheaf_for_singleton_iso,
end
/--
If `P` is a sheaf for `S`, and it is iso to `P'`, then `P'` is a sheaf for `S`. This shows that
"being a sheaf for a presieve" is a mathematical or hygenic property.
-/
lemma is_sheaf_for_iso {P' : Cᵒᵖ ⥤ Type v} (i : P ≅ P') : is_sheaf_for P R → is_sheaf_for P' R :=
begin
rw [is_sheaf_for_iff_generate, yoneda_condition_iff_sheaf_condition, is_sheaf_for_iff_generate,
yoneda_condition_iff_sheaf_condition],
intros h f,
obtain ⟨g, hg₁, hg₂⟩ := h (f ≫ i.inv),
refine ⟨g ≫ i.hom, by simpa [iso.eq_comp_inv] using hg₁, _⟩,
{ intros g' hg',
rw ← iso.comp_inv_eq,
apply hg₂,
rw reassoc_of hg' },
end
/--
If a presieve `R` on `X` has a subsieve `S` such that:
* `P` is a sheaf for `S`.
* For every `f` in `R`, `P` is separated for the pullback of `S` along `f`,
then `P` is a sheaf for `R`.
This is closely related to [Elephant] C2.1.6(i).
-/
lemma is_sheaf_for_subsieve_aux (P : Cᵒᵖ ⥤ Type v) {S : sieve X} {R : presieve X}
(h : (S : presieve X) ≤ R)
(hS : is_sheaf_for P S)
(trans : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, R f → is_separated_for P (S.pullback f)) :
is_sheaf_for P R :=
begin
rw ← is_separated_for_and_exists_is_amalgamation_iff_sheaf_for,
split,
{ intros x t₁ t₂ ht₁ ht₂,
exact hS.is_separated_for _ _ _ (is_amalgamation_restrict h x t₁ ht₁)
(is_amalgamation_restrict h x t₂ ht₂) },
{ intros x hx,
use hS.amalgamate _ (hx.restrict h),
intros W j hj,
apply (trans hj).ext,
intros Y f hf,
rw [←functor_to_types.map_comp_apply, ←op_comp,
hS.valid_glue (hx.restrict h) _ hf, family_of_elements.restrict,
←hx (𝟙 _) f _ _ (id_comp _)],
simp },
end
/--
If `P` is a sheaf for every pullback of the sieve `S`, then `P` is a sheaf for any presieve which
contains `S`.
This is closely related to [Elephant] C2.1.6.
-/
lemma is_sheaf_for_subsieve (P : Cᵒᵖ ⥤ Type v) {S : sieve X} {R : presieve X}
(h : (S : presieve X) ≤ R)
(trans : Π ⦃Y⦄ (f : Y ⟶ X), is_sheaf_for P (S.pullback f)) :
is_sheaf_for P R :=
is_sheaf_for_subsieve_aux P h (by simpa using trans (𝟙 _)) (λ Y f hf, (trans f).is_separated_for)
/-- A presheaf is separated for a topology if it is separated for every sieve in the topology. -/
def is_separated (P : Cᵒᵖ ⥤ Type v) : Prop :=
∀ {X} (S : sieve X), S ∈ J X → is_separated_for P S
/--
A presheaf is a sheaf for a topology if it is a sheaf for every sieve in the topology.
If the given topology is given by a pretopology, `is_sheaf_for_pretopology` shows it suffices to
check the sheaf condition at presieves in the pretopology.
-/
def is_sheaf (P : Cᵒᵖ ⥤ Type v) : Prop :=
∀ ⦃X⦄ (S : sieve X), S ∈ J X → is_sheaf_for P S
lemma is_sheaf.is_sheaf_for {P : Cᵒᵖ ⥤ Type v} (hp : is_sheaf J P)
(R : presieve X) (hr : generate R ∈ J X) : is_sheaf_for P R :=
is_sheaf_for_iff_generate.2 $ hp _ hr
lemma is_sheaf_for_coarser_topology (P : Cᵒᵖ ⥤ Type v) {J₁ J₂ : grothendieck_topology C} :
J₁ ≤ J₂ → is_sheaf J₂ P → is_sheaf J₁ P :=
λ h t X S hS, t S (h _ hS)
lemma separated_of_sheaf (P : Cᵒᵖ ⥤ Type v) (h : is_sheaf J P) : is_separated J P :=
λ X S hS, (h S hS).is_separated_for
/-- The property of being a sheaf is preserved by isomorphism. -/
lemma is_sheaf_iso {P' : Cᵒᵖ ⥤ Type v} (i : P ≅ P') (h : is_sheaf J P) : is_sheaf J P' :=
λ X S hS, is_sheaf_for_iso i (h S hS)
lemma is_sheaf_yoneda (h : ∀ {X} (S : sieve X), S ∈ J X → yoneda_sheaf_condition P S) :
is_sheaf J P :=
begin
intros X S hS,
rw yoneda_condition_iff_sheaf_condition,
apply h _ hS,
end
/--
For a topology generated by a basis, it suffices to check the sheaf condition on the basis
presieves only.
-/
lemma is_sheaf_pretopology [has_pullbacks C] (K : pretopology C) :
is_sheaf (K.to_grothendieck C) P ↔ (∀ {X : C} (R : presieve X), R ∈ K X → is_sheaf_for P R) :=
begin
split,
{ intros PJ X R hR,
rw is_sheaf_for_iff_generate,
apply PJ (sieve.generate R) ⟨_, hR, le_generate R⟩ },
{ rintro PK X S ⟨R, hR, RS⟩,
have gRS : ⇑(generate R) ≤ S,
{ apply gi_generate.gc.monotone_u,
rwa sets_iff_generate },
apply is_sheaf_for_subsieve P gRS _,
intros Y f,
rw [← pullback_arrows_comm, ← is_sheaf_for_iff_generate],
exact PK (pullback_arrows f R) (K.pullbacks f R hR) }
end
end presieve
namespace equalizer
variables {C : Type v} [small_category C] (P : Cᵒᵖ ⥤ Type v) {X : C} (R : presieve X) (S : sieve X)
noncomputable theory
/--
The middle object of the fork diagram given in Equation (3) of [MM92], as well as the fork diagram
of https://stacks.math.columbia.edu/tag/00VM.
-/
def first_obj : Type v :=
∏ (λ (f : Σ Y, {f : Y ⟶ X // R f}), P.obj (op f.1))
/-- Show that `first_obj` is isomorphic to `family_of_elements`. -/
@[simps]
def first_obj_eq_family : first_obj P R ≅ R.family_of_elements P :=
{ hom := λ t Y f hf, pi.π (λ (f : Σ Y, {f : Y ⟶ X // R f}), P.obj (op f.1)) ⟨_, _, hf⟩ t,
inv := pi.lift (λ f x, x _ f.2.2),
hom_inv_id' :=
begin
ext ⟨Y, f, hf⟩ p,
simpa,
end,
inv_hom_id' :=
begin
ext x Y f hf,
apply limits.types.limit.lift_π_apply,
end }
instance : inhabited (first_obj P (⊥ : presieve X)) :=
((first_obj_eq_family P _).to_equiv).inhabited
/--
The left morphism of the fork diagram given in Equation (3) of [MM92], as well as the fork diagram
of https://stacks.math.columbia.edu/tag/00VM.
-/
def fork_map : P.obj (op X) ⟶ first_obj P R :=
pi.lift (λ f, P.map f.2.1.op)
/-!
This section establishes the equivalence between the sheaf condition of Equation (3) [MM92] and
the definition of `is_sheaf_for`.
-/
namespace sieve
/--
The rightmost object of the fork diagram of Equation (3) [MM92], which contains the data used
to check a family is compatible.
-/
def second_obj : Type v :=
∏ (λ (f : Σ Y Z (g : Z ⟶ Y), {f' : Y ⟶ X // S f'}), P.obj (op f.2.1))
/-- The map `p` of Equations (3,4) [MM92]. -/
def first_map : first_obj P S ⟶ second_obj P S :=
pi.lift (λ fg, pi.π _ (⟨_, _, S.downward_closed fg.2.2.2.2 fg.2.2.1⟩ : Σ Y, {f : Y ⟶ X // S f}))
instance : inhabited (second_obj P (⊥ : sieve X)) := ⟨first_map _ _ (default _)⟩
/-- The map `a` of Equations (3,4) [MM92]. -/
def second_map : first_obj P S ⟶ second_obj P S :=
pi.lift (λ fg, pi.π _ ⟨_, fg.2.2.2⟩ ≫ P.map fg.2.2.1.op)
lemma w : fork_map P S ≫ first_map P S = fork_map P S ≫ second_map P S :=
begin
apply limit.hom_ext,
rintro ⟨Y, Z, g, f, hf⟩,
simp [first_map, second_map, fork_map],
end
/--
The family of elements given by `x : first_obj P S` is compatible iff `first_map` and `second_map`
map it to the same point.
-/
lemma compatible_iff (x : first_obj P S) :
((first_obj_eq_family P S).hom x).compatible ↔ first_map P S x = second_map P S x :=
begin
rw presieve.compatible_iff_sieve_compatible,
split,
{ intro t,
ext ⟨Y, Z, g, f, hf⟩,
simpa [first_map, second_map] using t _ g hf },
{ intros t Y Z f g hf,
rw types.limit_ext_iff at t,
simpa [first_map, second_map] using t ⟨Y, Z, g, f, hf⟩ }
end
/-- `P` is a sheaf for `S`, iff the fork given by `w` is an equalizer. -/
lemma equalizer_sheaf_condition :
presieve.is_sheaf_for P S ↔ nonempty (is_limit (fork.of_ι _ (w P S))) :=
begin
rw [types.type_equalizer_iff_unique,
← equiv.forall_congr_left (first_obj_eq_family P S).to_equiv.symm],
simp_rw ← compatible_iff,
simp only [inv_hom_id_apply, iso.to_equiv_symm_fun],
apply ball_congr,
intros x tx,
apply exists_unique_congr,
intro t,
rw ← iso.to_equiv_symm_fun,
rw equiv.eq_symm_apply,
split,
{ intros q,
ext Y f hf,
simpa [first_obj_eq_family, fork_map] using q _ _ },
{ intros q Y f hf,
rw ← q,
simp [first_obj_eq_family, fork_map] }
end
end sieve
/-!
This section establishes the equivalence between the sheaf condition of
https://stacks.math.columbia.edu/tag/00VM and the definition of `is_sheaf_for`.
-/
namespace presieve
variables [has_pullbacks C]
/--
The rightmost object of the fork diagram of https://stacks.math.columbia.edu/tag/00VM, which
contains the data used to check a family of elements for a presieve is compatible.
-/
def second_obj : Type v :=
∏ (λ (fg : (Σ Y, {f : Y ⟶ X // R f}) × (Σ Z, {g : Z ⟶ X // R g})),
P.obj (op (pullback fg.1.2.1 fg.2.2.1)))
/-- The map `pr₀*` of https://stacks.math.columbia.edu/tag/00VL. -/
def first_map : first_obj P R ⟶ second_obj P R :=
pi.lift (λ fg, pi.π _ _ ≫ P.map pullback.fst.op)
instance : inhabited (second_obj P (⊥ : presieve X)) := ⟨first_map _ _ (default _)⟩
/-- The map `pr₁*` of https://stacks.math.columbia.edu/tag/00VL. -/
def second_map : first_obj P R ⟶ second_obj P R :=
pi.lift (λ fg, pi.π _ _ ≫ P.map pullback.snd.op)
lemma w : fork_map P R ≫ first_map P R = fork_map P R ≫ second_map P R :=
begin
apply limit.hom_ext,
rintro ⟨⟨Y, f, hf⟩, ⟨Z, g, hg⟩⟩,
simp only [first_map, second_map, fork_map],
simp only [limit.lift_π, limit.lift_π_assoc, assoc, fan.mk_π_app, subtype.coe_mk,
subtype.val_eq_coe],
rw [← P.map_comp, ← op_comp, pullback.condition],
simp,
end
/--
The family of elements given by `x : first_obj P S` is compatible iff `first_map` and `second_map`
map it to the same point.
-/
lemma compatible_iff (x : first_obj P R) :
((first_obj_eq_family P R).hom x).compatible ↔ first_map P R x = second_map P R x :=
begin
rw presieve.pullback_compatible_iff,
split,
{ intro t,
ext ⟨⟨Y, f, hf⟩, Z, g, hg⟩,
simpa [first_map, second_map] using t hf hg },
{ intros t Y Z f g hf hg,
rw types.limit_ext_iff at t,
simpa [first_map, second_map] using t ⟨⟨Y, f, hf⟩, Z, g, hg⟩ }
end
/--
`P` is a sheaf for `R`, iff the fork given by `w` is an equalizer.
See https://stacks.math.columbia.edu/tag/00VM.
-/
lemma sheaf_condition :
R.is_sheaf_for P ↔ nonempty (is_limit (fork.of_ι _ (w P R))) :=
begin
rw types.type_equalizer_iff_unique,
erw ← equiv.forall_congr_left (first_obj_eq_family P R).to_equiv.symm,
simp_rw [← compatible_iff, ← iso.to_equiv_fun, equiv.apply_symm_apply],
apply ball_congr,
intros x hx,
apply exists_unique_congr,
intros t,
rw equiv.eq_symm_apply,
split,
{ intros q,
ext Y f hf,
simpa [fork_map] using q _ _ },
{ intros q Y f hf,
rw ← q,
simp [fork_map] }
end
end presieve
end equalizer
variables {C : Type u} [category.{v} C]
variables (J : grothendieck_topology C)
/-- The category of sheaves on a grothendieck topology. -/
@[derive category]
def Sheaf (J : grothendieck_topology C) : Type (max u (v+1)) :=
{P : Cᵒᵖ ⥤ Type v // presieve.is_sheaf J P}
instance : inhabited (Sheaf (⊥ : grothendieck_topology C)) :=
⟨⟨(functor.const _).obj punit,
λ X S hS,
begin
simp only [grothendieck_topology.bot_covering] at hS,
subst hS,
apply presieve.is_sheaf_for_top_sieve,
end⟩⟩
/-- The inclusion functor from sheaves to presheaves. -/
@[simps {rhs_md := semireducible}, derive [full, faithful]]
def Sheaf_to_presheaf : Sheaf J ⥤ (Cᵒᵖ ⥤ Type v) :=
full_subcategory_inclusion (presieve.is_sheaf J)
end category_theory
|
bc8831b08e134db807ee69b6f631af640f0a6396 | b7f22e51856f4989b970961f794f1c435f9b8f78 | /tests/lean/eq_class_error.lean | 2c0cc5fd218fbe7b78f567dcbb0ce0c974551050 | [
"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 | 621 | lean | inductive foo :=
| a | b
open foo
-- This test demonstrates we need to disable local instances.
set_option elaborator.local_instances false
definition decidable_eq_foo [instance] : ∀ f₁ f₂ : foo, decidable (f₁ = f₂)
| a a := by left; reflexivity
| a b := by right; contradiction
| b a := by right; contradiction
-- If we don't disable the local_instances, then type class resolution synthesizes the term (decidable_eq_foo b b) which is not a
-- valid "recursive application", and the recursive equation compiler fails with a cryptic message saying we should try to use well-founded recursion.
| b b := _
|
bd62f90675898791313c86e466ce3e56650c98b8 | 22e97a5d648fc451e25a06c668dc03ac7ed7bc25 | /src/data/set/lattice.lean | 2aa3de791fb5586db63622c02695eb04faf301d7 | [
"Apache-2.0"
] | permissive | keeferrowan/mathlib | f2818da875dbc7780830d09bd4c526b0764a4e50 | aad2dfc40e8e6a7e258287a7c1580318e865817e | refs/heads/master | 1,661,736,426,952 | 1,590,438,032,000 | 1,590,438,032,000 | 266,892,663 | 0 | 0 | Apache-2.0 | 1,590,445,835,000 | 1,590,445,835,000 | null | UTF-8 | Lean | false | false | 34,287 | lean | /-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Johannes Hölzl, Mario Carneiro
-- QUESTION: can make the first argument in ∀ x ∈ a, ... implicit?
-/
import order.complete_boolean_algebra
import data.sigma.basic
import order.galois_connection
open function tactic set auto
universes u v w x y
variables {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x} {ι' : Sort y}
namespace set
instance lattice_set : complete_lattice (set α) :=
{ le := (⊆),
lt := (⊂),
sup := (∪),
inf := (∩),
top := univ,
bot := ∅,
Sup := λs, {a | ∃ t ∈ s, a ∈ t },
Inf := λs, {a | ∀ t ∈ s, a ∈ t },
le_Sup := assume s t t_in a a_in, ⟨t, ⟨t_in, a_in⟩⟩,
Sup_le := assume s t h a ⟨t', ⟨t'_in, a_in⟩⟩, h t' t'_in a_in,
le_Inf := assume s t h a a_in t' t'_in, h t' t'_in a_in,
Inf_le := assume s t t_in a h, h _ t_in,
.. (infer_instance : complete_lattice (α → Prop)) }
instance : distrib_lattice (set α) :=
{ le_sup_inf := λ s t u x, or_and_distrib_left.2, ..set.lattice_set }
/-- Image is monotone. See `set.image_image` for the statement in terms of `⊆`. -/
lemma monotone_image {f : α → β} : monotone (image f) :=
assume s t, assume h : s ⊆ t, image_subset _ h
theorem monotone_inter [preorder β] {f g : β → set α}
(hf : monotone f) (hg : monotone g) : monotone (λx, f x ∩ g x) :=
assume b₁ b₂ h, inter_subset_inter (hf h) (hg h)
theorem monotone_union [preorder β] {f g : β → set α}
(hf : monotone f) (hg : monotone g) : monotone (λx, f x ∪ g x) :=
assume b₁ b₂ h, union_subset_union (hf h) (hg h)
theorem monotone_set_of [preorder α] {p : α → β → Prop}
(hp : ∀b, monotone (λa, p a b)) : monotone (λa, {b | p a b}) :=
assume a a' h b, hp b h
section galois_connection
variables {f : α → β}
protected lemma image_preimage : galois_connection (image f) (preimage f) :=
assume a b, image_subset_iff
/-- `kern_image f s` is the set of `y` such that `f ⁻¹ y ⊆ s` -/
def kern_image (f : α → β) (s : set α) : set β := {y | ∀ ⦃x⦄, f x = y → x ∈ s}
protected lemma preimage_kern_image : galois_connection (preimage f) (kern_image f) :=
assume a b,
⟨ assume h x hx y hy, have f y ∈ a, from hy.symm ▸ hx, h this,
assume h x (hx : f x ∈ a), h hx rfl⟩
end galois_connection
/- union and intersection over a family of sets indexed by a type -/
/-- Indexed union of a family of sets -/
@[reducible] def Union (s : ι → set β) : set β := supr s
/-- Indexed intersection of a family of sets -/
@[reducible] def Inter (s : ι → set β) : set β := infi s
notation `⋃` binders `, ` r:(scoped f, Union f) := r
notation `⋂` binders `, ` r:(scoped f, Inter f) := r
@[simp] theorem mem_Union {x : β} {s : ι → set β} : x ∈ Union s ↔ ∃ i, x ∈ s i :=
⟨assume ⟨t, ⟨⟨a, (t_eq : s a = t)⟩, (h : x ∈ t)⟩⟩, ⟨a, t_eq.symm ▸ h⟩,
assume ⟨a, h⟩, ⟨s a, ⟨⟨a, rfl⟩, h⟩⟩⟩
/- alternative proof: dsimp [Union, supr, Sup]; simp -/
-- TODO: more rewrite rules wrt forall / existentials and logical connectives
-- TODO: also eliminate ∃i, ... ∧ i = t ∧ ...
theorem set_of_exists (p : ι → β → Prop) : {x | ∃ i, p i x} = ⋃ i, {x | p i x} :=
ext $ λ i, mem_Union.symm
@[simp] theorem mem_Inter {x : β} {s : ι → set β} : x ∈ Inter s ↔ ∀ i, x ∈ s i :=
⟨assume (h : ∀a ∈ {a : set β | ∃i, s i = a}, x ∈ a) a, h (s a) ⟨a, rfl⟩,
assume h t ⟨a, (eq : s a = t)⟩, eq ▸ h a⟩
theorem set_of_forall (p : ι → β → Prop) : {x | ∀ i, p i x} = ⋂ i, {x | p i x} :=
ext $ λ i, mem_Inter.symm
theorem Union_subset {s : ι → set β} {t : set β} (h : ∀ i, s i ⊆ t) : (⋃ i, s i) ⊆ t :=
-- TODO: should be simpler when sets' order is based on lattices
@supr_le (set β) _ set.lattice_set _ _ h
theorem Union_subset_iff {s : ι → set β} {t : set β} : (⋃ i, s i) ⊆ t ↔ (∀ i, s i ⊆ t) :=
⟨assume h i, subset.trans (le_supr s _) h, Union_subset⟩
theorem mem_Inter_of_mem {x : β} {s : ι → set β} : (∀ i, x ∈ s i) → (x ∈ ⋂ i, s i) :=
mem_Inter.2
theorem subset_Inter {t : set β} {s : ι → set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i :=
-- TODO: should be simpler when sets' order is based on lattices
@le_infi (set β) _ set.lattice_set _ _ h
theorem subset_Union : ∀ (s : ι → set β) (i : ι), s i ⊆ (⋃ i, s i) := le_supr
theorem Inter_subset : ∀ (s : ι → set β) (i : ι), (⋂ i, s i) ⊆ s i := infi_le
lemma Inter_subset_of_subset {s : ι → set α} {t : set α} (i : ι)
(h : s i ⊆ t) : (⋂ i, s i) ⊆ t :=
set.subset.trans (set.Inter_subset s i) h
lemma Inter_subset_Inter {s t : ι → set α} (h : ∀ i, s i ⊆ t i) :
(⋂ i, s i) ⊆ (⋂ i, t i) :=
set.subset_Inter $ λ i, set.Inter_subset_of_subset i (h i)
lemma Inter_subset_Inter2 {s : ι → set α} {t : ι' → set α} (h : ∀ j, ∃ i, s i ⊆ t j) :
(⋂ i, s i) ⊆ (⋂ j, t j) :=
set.subset_Inter $ λ j, let ⟨i, hi⟩ := h j in Inter_subset_of_subset i hi
theorem Union_const [nonempty ι] (s : set β) : (⋃ i:ι, s) = s :=
ext $ by simp
theorem Inter_const [nonempty ι] (s : set β) : (⋂ i:ι, s) = s :=
ext $ by simp
@[simp] -- complete_boolean_algebra
theorem compl_Union (s : ι → set β) : - (⋃ i, s i) = (⋂ i, - s i) :=
ext (by simp)
-- classical -- complete_boolean_algebra
theorem compl_Inter (s : ι → set β) : -(⋂ i, s i) = (⋃ i, - s i) :=
ext (λ x, by simp [classical.not_forall])
-- classical -- complete_boolean_algebra
theorem Union_eq_comp_Inter_comp (s : ι → set β) : (⋃ i, s i) = - (⋂ i, - s i) :=
by simp [compl_Inter, compl_compl]
-- classical -- complete_boolean_algebra
theorem Inter_eq_comp_Union_comp (s : ι → set β) : (⋂ i, s i) = - (⋃ i, -s i) :=
by simp [compl_compl]
theorem inter_Union (s : set β) (t : ι → set β) :
s ∩ (⋃ i, t i) = ⋃ i, s ∩ t i :=
ext $ by simp
theorem Union_inter (s : set β) (t : ι → set β) :
(⋃ i, t i) ∩ s = ⋃ i, t i ∩ s :=
ext $ by simp
theorem Union_union_distrib (s : ι → set β) (t : ι → set β) :
(⋃ i, s i ∪ t i) = (⋃ i, s i) ∪ (⋃ i, t i) :=
ext $ by simp [exists_or_distrib]
theorem Inter_inter_distrib (s : ι → set β) (t : ι → set β) :
(⋂ i, s i ∩ t i) = (⋂ i, s i) ∩ (⋂ i, t i) :=
ext $ by simp [forall_and_distrib]
theorem union_Union [nonempty ι] (s : set β) (t : ι → set β) :
s ∪ (⋃ i, t i) = ⋃ i, s ∪ t i :=
by rw [Union_union_distrib, Union_const]
theorem Union_union [nonempty ι] (s : set β) (t : ι → set β) :
(⋃ i, t i) ∪ s = ⋃ i, t i ∪ s :=
by rw [Union_union_distrib, Union_const]
theorem inter_Inter [nonempty ι] (s : set β) (t : ι → set β) :
s ∩ (⋂ i, t i) = ⋂ i, s ∩ t i :=
by rw [Inter_inter_distrib, Inter_const]
theorem Inter_inter [nonempty ι] (s : set β) (t : ι → set β) :
(⋂ i, t i) ∩ s = ⋂ i, t i ∩ s :=
by rw [Inter_inter_distrib, Inter_const]
-- classical
theorem union_Inter (s : set β) (t : ι → set β) :
s ∪ (⋂ i, t i) = ⋂ i, s ∪ t i :=
ext $ assume x, by simp [classical.forall_or_distrib_left]
theorem Union_diff (s : set β) (t : ι → set β) :
(⋃ i, t i) \ s = ⋃ i, t i \ s :=
Union_inter _ _
theorem diff_Union [nonempty ι] (s : set β) (t : ι → set β) :
s \ (⋃ i, t i) = ⋂ i, s \ t i :=
by rw [diff_eq, compl_Union, inter_Inter]; refl
theorem diff_Inter (s : set β) (t : ι → set β) :
s \ (⋂ i, t i) = ⋃ i, s \ t i :=
by rw [diff_eq, compl_Inter, inter_Union]; refl
lemma directed_on_Union {r} {ι : Sort v} {f : ι → set α} (hd : directed (⊆) f)
(h : ∀x, directed_on r (f x)) : directed_on r (⋃x, f x) :=
by simp only [directed_on, exists_prop, mem_Union, exists_imp_distrib]; exact
assume a₁ b₁ fb₁ a₂ b₂ fb₂,
let ⟨z, zb₁, zb₂⟩ := hd b₁ b₂,
⟨x, xf, xa₁, xa₂⟩ := h z a₁ (zb₁ fb₁) a₂ (zb₂ fb₂) in
⟨x, ⟨z, xf⟩, xa₁, xa₂⟩
/- bounded unions and intersections -/
theorem mem_bUnion_iff {s : set α} {t : α → set β} {y : β} :
y ∈ (⋃ x ∈ s, t x) ↔ ∃ x ∈ s, y ∈ t x := by simp
theorem mem_bInter_iff {s : set α} {t : α → set β} {y : β} :
y ∈ (⋂ x ∈ s, t x) ↔ ∀ x ∈ s, y ∈ t x := by simp
theorem mem_bUnion {s : set α} {t : α → set β} {x : α} {y : β} (xs : x ∈ s) (ytx : y ∈ t x) :
y ∈ ⋃ x ∈ s, t x :=
by simp; exact ⟨x, ⟨xs, ytx⟩⟩
theorem mem_bInter {s : set α} {t : α → set β} {y : β} (h : ∀ x ∈ s, y ∈ t x) :
y ∈ ⋂ x ∈ s, t x :=
by simp; assumption
theorem bUnion_subset {s : set α} {t : set β} {u : α → set β} (h : ∀ x ∈ s, u x ⊆ t) :
(⋃ x ∈ s, u x) ⊆ t :=
show (⨆ x ∈ s, u x) ≤ t, -- TODO: should not be necessary when sets' order is based on lattices
from supr_le $ assume x, supr_le (h x)
theorem subset_bInter {s : set α} {t : set β} {u : α → set β} (h : ∀ x ∈ s, t ⊆ u x) :
t ⊆ (⋂ x ∈ s, u x) :=
subset_Inter $ assume x, subset_Inter $ h x
theorem subset_bUnion_of_mem {s : set α} {u : α → set β} {x : α} (xs : x ∈ s) :
u x ⊆ (⋃ x ∈ s, u x) :=
show u x ≤ (⨆ x ∈ s, u x),
from le_supr_of_le x $ le_supr _ xs
theorem bInter_subset_of_mem {s : set α} {t : α → set β} {x : α} (xs : x ∈ s) :
(⋂ x ∈ s, t x) ⊆ t x :=
show (⨅x ∈ s, t x) ≤ t x,
from infi_le_of_le x $ infi_le _ xs
theorem bUnion_subset_bUnion_left {s s' : set α} {t : α → set β}
(h : s ⊆ s') : (⋃ x ∈ s, t x) ⊆ (⋃ x ∈ s', t x) :=
bUnion_subset (λ x xs, subset_bUnion_of_mem (h xs))
theorem bInter_subset_bInter_left {s s' : set α} {t : α → set β}
(h : s' ⊆ s) : (⋂ x ∈ s, t x) ⊆ (⋂ x ∈ s', t x) :=
subset_bInter (λ x xs, bInter_subset_of_mem (h xs))
theorem bUnion_subset_bUnion_right {s : set α} {t1 t2 : α → set β}
(h : ∀ x ∈ s, t1 x ⊆ t2 x) : (⋃ x ∈ s, t1 x) ⊆ (⋃ x ∈ s, t2 x) :=
bUnion_subset (λ x xs, subset.trans (h x xs) (subset_bUnion_of_mem xs))
theorem bInter_subset_bInter_right {s : set α} {t1 t2 : α → set β}
(h : ∀ x ∈ s, t1 x ⊆ t2 x) : (⋂ x ∈ s, t1 x) ⊆ (⋂ x ∈ s, t2 x) :=
subset_bInter (λ x xs, subset.trans (bInter_subset_of_mem xs) (h x xs))
theorem bUnion_eq_Union (s : set α) (t : α → set β) : (⋃ x ∈ s, t x) = (⋃ x : s, t x.1) :=
set.ext $ by simp
theorem bInter_eq_Inter (s : set α) (t : α → set β) : (⋂ x ∈ s, t x) = (⋂ x : s, t x.1) :=
set.ext $ by simp
theorem bInter_empty (u : α → set β) : (⋂ x ∈ (∅ : set α), u x) = univ :=
show (⨅x ∈ (∅ : set α), u x) = ⊤, -- simplifier should be able to rewrite x ∈ ∅ to false.
from infi_emptyset
theorem bInter_univ (u : α → set β) : (⋂ x ∈ @univ α, u x) = ⋂ x, u x :=
infi_univ
-- TODO(Jeremy): here is an artifact of the the encoding of bounded intersection:
-- without dsimp, the next theorem fails to type check, because there is a lambda
-- in a type that needs to be contracted. Using simp [eq_of_mem_singleton xa] also works.
@[simp] theorem bInter_singleton (a : α) (s : α → set β) : (⋂ x ∈ ({a} : set α), s x) = s a :=
show (⨅ x ∈ ({a} : set α), s x) = s a, by simp
theorem bInter_union (s t : set α) (u : α → set β) :
(⋂ x ∈ s ∪ t, u x) = (⋂ x ∈ s, u x) ∩ (⋂ x ∈ t, u x) :=
show (⨅ x ∈ s ∪ t, u x) = (⨅ x ∈ s, u x) ⊓ (⨅ x ∈ t, u x),
from infi_union
-- TODO(Jeremy): simp [insert_eq, bInter_union] doesn't work
@[simp] theorem bInter_insert (a : α) (s : set α) (t : α → set β) :
(⋂ x ∈ insert a s, t x) = t a ∩ (⋂ x ∈ s, t x) :=
begin rw insert_eq, simp [bInter_union] end
-- TODO(Jeremy): another example of where an annotation is needed
theorem bInter_pair (a b : α) (s : α → set β) :
(⋂ x ∈ ({a, b} : set α), s x) = s a ∩ s b :=
by simp [inter_comm]
theorem bUnion_empty (s : α → set β) : (⋃ x ∈ (∅ : set α), s x) = ∅ :=
supr_emptyset
theorem bUnion_univ (s : α → set β) : (⋃ x ∈ @univ α, s x) = ⋃ x, s x :=
supr_univ
@[simp] theorem bUnion_singleton (a : α) (s : α → set β) : (⋃ x ∈ ({a} : set α), s x) = s a :=
supr_singleton
@[simp] theorem bUnion_of_singleton (s : set α) : (⋃ x ∈ s, {x}) = s :=
ext $ by simp
theorem bUnion_union (s t : set α) (u : α → set β) :
(⋃ x ∈ s ∪ t, u x) = (⋃ x ∈ s, u x) ∪ (⋃ x ∈ t, u x) :=
supr_union
-- TODO(Jeremy): once again, simp doesn't do it alone.
@[simp] theorem bUnion_insert (a : α) (s : set α) (t : α → set β) :
(⋃ x ∈ insert a s, t x) = t a ∪ (⋃ x ∈ s, t x) :=
begin rw [insert_eq], simp [bUnion_union] end
theorem bUnion_pair (a b : α) (s : α → set β) :
(⋃ x ∈ ({a, b} : set α), s x) = s a ∪ s b :=
by simp [union_comm]
@[simp] -- complete_boolean_algebra
theorem compl_bUnion (s : set α) (t : α → set β) : - (⋃ i ∈ s, t i) = (⋂ i ∈ s, - t i) :=
ext (λ x, by simp)
-- classical -- complete_boolean_algebra
theorem compl_bInter (s : set α) (t : α → set β) : -(⋂ i ∈ s, t i) = (⋃ i ∈ s, - t i) :=
ext (λ x, by simp [classical.not_forall])
theorem inter_bUnion (s : set α) (t : α → set β) (u : set β) :
u ∩ (⋃ i ∈ s, t i) = ⋃ i ∈ s, u ∩ t i :=
begin
ext x,
simp only [exists_prop, mem_Union, mem_inter_eq],
exact ⟨λ ⟨hx, ⟨i, is, xi⟩⟩, ⟨i, is, hx, xi⟩, λ ⟨i, is, hx, xi⟩, ⟨hx, ⟨i, is, xi⟩⟩⟩
end
theorem bUnion_inter (s : set α) (t : α → set β) (u : set β) :
(⋃ i ∈ s, t i) ∩ u = (⋃ i ∈ s, t i ∩ u) :=
by simp [@inter_comm _ _ u, inter_bUnion]
/-- Intersection of a set of sets. -/
@[reducible] def sInter (S : set (set α)) : set α := Inf S
prefix `⋂₀`:110 := sInter
theorem mem_sUnion_of_mem {x : α} {t : set α} {S : set (set α)} (hx : x ∈ t) (ht : t ∈ S) :
x ∈ ⋃₀ S :=
⟨t, ⟨ht, hx⟩⟩
theorem mem_sUnion {x : α} {S : set (set α)} : x ∈ ⋃₀ S ↔ ∃t ∈ S, x ∈ t := iff.rfl
-- is this theorem really necessary?
theorem not_mem_of_not_mem_sUnion {x : α} {t : set α} {S : set (set α)}
(hx : x ∉ ⋃₀ S) (ht : t ∈ S) : x ∉ t :=
λ h, hx ⟨t, ht, h⟩
@[simp] theorem mem_sInter {x : α} {S : set (set α)} : x ∈ ⋂₀ S ↔ ∀ t ∈ S, x ∈ t := iff.rfl
theorem sInter_subset_of_mem {S : set (set α)} {t : set α} (tS : t ∈ S) : ⋂₀ S ⊆ t :=
Inf_le tS
theorem subset_sUnion_of_mem {S : set (set α)} {t : set α} (tS : t ∈ S) : t ⊆ ⋃₀ S :=
le_Sup tS
lemma subset_sUnion_of_subset {s : set α} (t : set (set α)) (u : set α) (h₁ : s ⊆ u)
(h₂ : u ∈ t) : s ⊆ ⋃₀ t :=
subset.trans h₁ (subset_sUnion_of_mem h₂)
theorem sUnion_subset {S : set (set α)} {t : set α} (h : ∀t' ∈ S, t' ⊆ t) : (⋃₀ S) ⊆ t :=
Sup_le h
theorem sUnion_subset_iff {s : set (set α)} {t : set α} : ⋃₀ s ⊆ t ↔ ∀t' ∈ s, t' ⊆ t :=
⟨assume h t' ht', subset.trans (subset_sUnion_of_mem ht') h, sUnion_subset⟩
theorem subset_sInter {S : set (set α)} {t : set α} (h : ∀t' ∈ S, t ⊆ t') : t ⊆ (⋂₀ S) :=
le_Inf h
theorem sUnion_subset_sUnion {S T : set (set α)} (h : S ⊆ T) : ⋃₀ S ⊆ ⋃₀ T :=
sUnion_subset $ λ s hs, subset_sUnion_of_mem (h hs)
theorem sInter_subset_sInter {S T : set (set α)} (h : S ⊆ T) : ⋂₀ T ⊆ ⋂₀ S :=
subset_sInter $ λ s hs, sInter_subset_of_mem (h hs)
@[simp] theorem sUnion_empty : ⋃₀ ∅ = (∅ : set α) := Sup_empty
@[simp] theorem sInter_empty : ⋂₀ ∅ = (univ : set α) := Inf_empty
@[simp] theorem sUnion_singleton (s : set α) : ⋃₀ {s} = s := Sup_singleton
@[simp] theorem sInter_singleton (s : set α) : ⋂₀ {s} = s := Inf_singleton
theorem sUnion_union (S T : set (set α)) : ⋃₀ (S ∪ T) = ⋃₀ S ∪ ⋃₀ T := Sup_union
theorem sInter_union (S T : set (set α)) : ⋂₀ (S ∪ T) = ⋂₀ S ∩ ⋂₀ T := Inf_union
theorem sInter_Union (s : ι → set (set α)) : ⋂₀ (⋃ i, s i) = ⋂ i, ⋂₀ s i :=
begin
ext x,
simp only [mem_Union, mem_Inter, mem_sInter, exists_imp_distrib],
split ; tauto
end
@[simp] theorem sUnion_insert (s : set α) (T : set (set α)) : ⋃₀ (insert s T) = s ∪ ⋃₀ T := Sup_insert
@[simp] theorem sInter_insert (s : set α) (T : set (set α)) : ⋂₀ (insert s T) = s ∩ ⋂₀ T := Inf_insert
theorem sUnion_pair (s t : set α) : ⋃₀ {s, t} = s ∪ t :=
Sup_pair
theorem sInter_pair (s t : set α) : ⋂₀ {s, t} = s ∩ t :=
Inf_pair
@[simp] theorem sUnion_image (f : α → set β) (s : set α) : ⋃₀ (f '' s) = ⋃ x ∈ s, f x := Sup_image
@[simp] theorem sInter_image (f : α → set β) (s : set α) : ⋂₀ (f '' s) = ⋂ x ∈ s, f x := Inf_image
@[simp] theorem sUnion_range (f : ι → set β) : ⋃₀ (range f) = ⋃ x, f x := Sup_range
@[simp] theorem sInter_range (f : ι → set β) : ⋂₀ (range f) = ⋂ x, f x := Inf_range
lemma sUnion_eq_univ_iff {c : set (set α)} :
⋃₀ c = @set.univ α ↔ ∀ a, ∃ b ∈ c, a ∈ b :=
⟨λ H a, let ⟨b, hm, hb⟩ := mem_sUnion.1 $ by rw H; exact mem_univ a in ⟨b, hm, hb⟩,
λ H, set.univ_subset_iff.1 $ λ x hx, let ⟨b, hm, hb⟩ := H x in set.mem_sUnion_of_mem hb hm⟩
theorem compl_sUnion (S : set (set α)) :
- ⋃₀ S = ⋂₀ (compl '' S) :=
set.ext $ assume x,
⟨assume : ¬ (∃s∈S, x ∈ s), assume s h,
match s, h with
._, ⟨t, hs, rfl⟩ := assume h, this ⟨t, hs, h⟩
end,
assume : ∀s, s ∈ compl '' S → x ∈ s,
assume ⟨t, tS, xt⟩, this (compl t) (mem_image_of_mem _ tS) xt⟩
-- classical
theorem sUnion_eq_compl_sInter_compl (S : set (set α)) :
⋃₀ S = - ⋂₀ (compl '' S) :=
by rw [←compl_compl (⋃₀ S), compl_sUnion]
-- classical
theorem compl_sInter (S : set (set α)) :
- ⋂₀ S = ⋃₀ (compl '' S) :=
by rw [sUnion_eq_compl_sInter_compl, compl_compl_image]
-- classical
theorem sInter_eq_comp_sUnion_compl (S : set (set α)) :
⋂₀ S = -(⋃₀ (compl '' S)) :=
by rw [←compl_compl (⋂₀ S), compl_sInter]
theorem inter_empty_of_inter_sUnion_empty {s t : set α} {S : set (set α)} (hs : t ∈ S)
(h : s ∩ ⋃₀ S = ∅) :
s ∩ t = ∅ :=
eq_empty_of_subset_empty $ by rw ← h; exact
inter_subset_inter_right _ (subset_sUnion_of_mem hs)
theorem range_sigma_eq_Union_range {γ : α → Type*} (f : sigma γ → β) :
range f = ⋃ a, range (λ b, f ⟨a, b⟩) :=
set.ext $ by simp
theorem Union_eq_range_sigma (s : α → set β) : (⋃ i, s i) = range (λ a : Σ i, s i, a.2) :=
by simp [set.ext_iff]
theorem Union_image_preimage_sigma_mk_eq_self {ι : Type*} {σ : ι → Type*} (s : set (sigma σ)) :
(⋃ i, sigma.mk i '' (sigma.mk i ⁻¹' s)) = s :=
begin
ext x,
simp only [mem_Union, mem_image, mem_preimage],
split,
{ rintros ⟨i, a, h, rfl⟩, exact h },
{ intro h, cases x with i a, exact ⟨i, a, h, rfl⟩ }
end
lemma sUnion_mono {s t : set (set α)} (h : s ⊆ t) : (⋃₀ s) ⊆ (⋃₀ t) :=
sUnion_subset $ assume t' ht', subset_sUnion_of_mem $ h ht'
lemma Union_subset_Union {s t : ι → set α} (h : ∀i, s i ⊆ t i) : (⋃i, s i) ⊆ (⋃i, t i) :=
@supr_le_supr (set α) ι _ s t h
lemma Union_subset_Union2 {ι₂ : Sort*} {s : ι → set α} {t : ι₂ → set α} (h : ∀i, ∃j, s i ⊆ t j) :
(⋃i, s i) ⊆ (⋃i, t i) :=
@supr_le_supr2 (set α) ι ι₂ _ s t h
lemma Union_subset_Union_const {ι₂ : Sort x} {s : set α} (h : ι → ι₂) : (⋃ i:ι, s) ⊆ (⋃ j:ι₂, s) :=
@supr_le_supr_const (set α) ι ι₂ _ s h
@[simp] lemma Union_of_singleton (α : Type u) : (⋃(x : α), {x}) = @set.univ α :=
ext $ λ x, ⟨λ h, ⟨⟩, λ h, ⟨{x}, ⟨⟨x, rfl⟩, mem_singleton x⟩⟩⟩
theorem bUnion_subset_Union (s : set α) (t : α → set β) :
(⋃ x ∈ s, t x) ⊆ (⋃ x, t x) :=
Union_subset_Union $ λ i, Union_subset $ λ h, by refl
lemma sUnion_eq_bUnion {s : set (set α)} : (⋃₀ s) = (⋃ (i : set α) (h : i ∈ s), i) :=
set.ext $ by simp
lemma sInter_eq_bInter {s : set (set α)} : (⋂₀ s) = (⋂ (i : set α) (h : i ∈ s), i) :=
set.ext $ by simp
lemma sUnion_eq_Union {s : set (set α)} : (⋃₀ s) = (⋃ (i : s), i.1) :=
set.ext $ λ x, by simp
lemma sInter_eq_Inter {s : set (set α)} : (⋂₀ s) = (⋂ (i : s), i.1) :=
set.ext $ λ x, by simp
lemma union_eq_Union {s₁ s₂ : set α} : s₁ ∪ s₂ = ⋃ b : bool, cond b s₁ s₂ :=
set.ext $ λ x, by simp [bool.exists_bool, or_comm]
lemma inter_eq_Inter {s₁ s₂ : set α} : s₁ ∩ s₂ = ⋂ b : bool, cond b s₁ s₂ :=
set.ext $ λ x, by simp [bool.forall_bool, and_comm]
instance : complete_boolean_algebra (set α) :=
{ neg := compl,
sub := (\),
le_sup_inf := distrib_lattice.le_sup_inf,
inf_compl_eq_bot := assume s, ext $ assume x, ⟨assume ⟨h, nh⟩, nh h, false.elim⟩,
sup_compl_eq_top := assume s, ext $ assume x, ⟨assume h, trivial, assume _, classical.em $ x ∈ s⟩,
sub_eq := assume x y, rfl,
infi_sup_le_sup_Inf := assume s t x, show x ∈ (⋂ b ∈ t, s ∪ b) → x ∈ s ∪ (⋂₀ t),
by simp; exact assume h,
or.imp_right
(assume hn : x ∉ s, assume i hi, or.resolve_left (h i hi) hn)
(classical.em $ x ∈ s),
inf_Sup_le_supr_inf := assume s t x, show x ∈ s ∩ (⋃₀ t) → x ∈ (⋃ b ∈ t, s ∩ b),
by simp [-and_imp, and.left_comm],
..set.lattice_set }
lemma sInter_union_sInter {S T : set (set α)} :
(⋂₀S) ∪ (⋂₀T) = (⋂p ∈ set.prod S T, (p : (set α) × (set α)).1 ∪ p.2) :=
Inf_sup_Inf
lemma sUnion_inter_sUnion {s t : set (set α)} :
(⋃₀s) ∩ (⋃₀t) = (⋃p ∈ set.prod s t, (p : (set α) × (set α )).1 ∩ p.2) :=
Sup_inf_Sup
lemma sInter_bUnion {S : set (set α)} {T : set α → set (set α)} (hT : ∀s∈S, s = ⋂₀ T s) :
⋂₀ (⋃s∈S, T s) = ⋂₀ S :=
begin
ext,
simp only [and_imp, exists_prop, set.mem_sInter, set.mem_Union, exists_imp_distrib],
split,
{ assume H s sS,
rw [hT s sS, mem_sInter],
assume t tTs,
apply H t s sS tTs },
{ assume H t s sS tTs,
have xs : x ∈ s := H s sS,
have : s ⊆ t,
{ have Z := hT s sS,
rw sInter_eq_bInter at Z,
rw Z, apply bInter_subset_of_mem,
exact tTs },
exact this xs }
end
lemma sUnion_bUnion {S : set (set α)} {T : set α → set (set α)} (hT : ∀s∈S, s = ⋃₀ T s) :
⋃₀ (⋃s∈S, T s) = ⋃₀ S :=
begin
ext,
simp only [exists_prop, set.mem_Union, set.mem_set_of_eq],
split,
{ rintros ⟨t, ⟨⟨s, ⟨sS, tTs⟩⟩, xt⟩⟩,
refine ⟨s, ⟨sS, _⟩⟩,
rw hT s sS,
exact subset_sUnion_of_mem tTs xt },
{ rintros ⟨s, ⟨sS, xs⟩⟩,
rw hT s sS at xs,
rcases mem_sUnion.1 xs with ⟨t, tTs, xt⟩,
exact ⟨t, ⟨⟨s, ⟨sS, tTs⟩⟩, xt⟩⟩ }
end
lemma Union_range_eq_sUnion {α β : Type*} (C : set (set α))
{f : ∀(s : C), β → s} (hf : ∀(s : C), surjective (f s)) :
(⋃(y : β), range (λ(s : C), (f s y).val)) = ⋃₀ C :=
begin
ext x, split,
{ rintro ⟨s, ⟨y, rfl⟩, ⟨⟨s, hs⟩, rfl⟩⟩, refine ⟨_, hs, _⟩, exact (f ⟨s, hs⟩ y).2 },
{ rintro ⟨s, hs, hx⟩, cases hf ⟨s, hs⟩ ⟨x, hx⟩ with y hy, refine ⟨_, ⟨y, rfl⟩, ⟨⟨s, hs⟩, _⟩⟩,
exact congr_arg subtype.val hy }
end
lemma Union_range_eq_Union {ι α β : Type*} (C : ι → set α)
{f : ∀(x : ι), β → C x} (hf : ∀(x : ι), surjective (f x)) :
(⋃(y : β), range (λ(x : ι), (f x y).val)) = ⋃x, C x :=
begin
ext x, rw [mem_Union, mem_Union], split,
{ rintro ⟨y, ⟨i, rfl⟩⟩, exact ⟨i, (f i y).2⟩ },
{ rintro ⟨i, hx⟩, cases hf i ⟨x, hx⟩ with y hy, refine ⟨y, ⟨i, congr_arg subtype.val hy⟩⟩ }
end
@[simp] theorem sub_eq_diff (s t : set α) : s - t = s \ t := rfl
section
variables {p : Prop} {μ : p → set α}
@[simp] lemma Inter_pos (hp : p) : (⋂h:p, μ h) = μ hp := infi_pos hp
@[simp] lemma Inter_neg (hp : ¬ p) : (⋂h:p, μ h) = univ := infi_neg hp
@[simp] lemma Union_pos (hp : p) : (⋃h:p, μ h) = μ hp := supr_pos hp
@[simp] lemma Union_neg (hp : ¬ p) : (⋃h:p, μ h) = ∅ := supr_neg hp
@[simp] lemma Union_empty {ι : Sort*} : (⋃i:ι, ∅:set α) = ∅ := supr_bot
@[simp] lemma Inter_univ {ι : Sort*} : (⋂i:ι, univ:set α) = univ := infi_top
end
section image
lemma image_Union {f : α → β} {s : ι → set α} : f '' (⋃ i, s i) = (⋃i, f '' s i) :=
begin
apply set.ext, intro x,
simp [image, exists_and_distrib_right.symm, -exists_and_distrib_right],
exact exists_swap
end
lemma univ_subtype {p : α → Prop} : (univ : set (subtype p)) = (⋃x (h : p x), {⟨x, h⟩}) :=
set.ext $ assume ⟨x, h⟩, by simp [h]
lemma range_eq_Union {ι} (f : ι → α) : range f = (⋃i, {f i}) :=
set.ext $ assume a, by simp [@eq_comm α a]
lemma image_eq_Union (f : α → β) (s : set α) : f '' s = (⋃i∈s, {f i}) :=
set.ext $ assume b, by simp [@eq_comm β b]
@[simp] lemma bUnion_range {f : ι → α} {g : α → set β} : (⋃x ∈ range f, g x) = (⋃y, g (f y)) :=
by rw [← sUnion_image, ← range_comp, sUnion_range]
@[simp] lemma bInter_range {f : ι → α} {g : α → set β} : (⋂x ∈ range f, g x) = (⋂y, g (f y)) :=
by rw [← sInter_image, ← range_comp, sInter_range]
variables {s : set γ} {f : γ → α} {g : α → set β}
@[simp] lemma bUnion_image : (⋃x∈ (f '' s), g x) = (⋃y ∈ s, g (f y)) :=
by rw [← sUnion_image, ← image_comp, sUnion_image]
@[simp] lemma bInter_image : (⋂x∈ (f '' s), g x) = (⋂y ∈ s, g (f y)) :=
by rw [← sInter_image, ← image_comp, sInter_image]
end image
section preimage
theorem monotone_preimage {f : α → β} : monotone (preimage f) := assume a b h, preimage_mono h
@[simp] theorem preimage_Union {ι : Sort w} {f : α → β} {s : ι → set β} :
preimage f (⋃i, s i) = (⋃i, preimage f (s i)) :=
set.ext $ by simp [preimage]
theorem preimage_bUnion {ι} {f : α → β} {s : set ι} {t : ι → set β} :
preimage f (⋃i ∈ s, t i) = (⋃i ∈ s, preimage f (t i)) :=
by simp
@[simp] theorem preimage_sUnion {f : α → β} {s : set (set β)} :
preimage f (⋃₀ s) = (⋃t ∈ s, preimage f t) :=
set.ext $ by simp [preimage]
lemma preimage_Inter {ι : Sort*} {s : ι → set β} {f : α → β} :
f ⁻¹' (⋂ i, s i) = (⋂ i, f ⁻¹' s i) :=
by ext; simp
lemma preimage_bInter {s : γ → set β} {t : set γ} {f : α → β} :
f ⁻¹' (⋂ i∈t, s i) = (⋂ i∈t, f ⁻¹' s i) :=
by ext; simp
end preimage
section seq
def seq (s : set (α → β)) (t : set α) : set β := {b | ∃f∈s, ∃a∈t, (f : α → β) a = b}
lemma seq_def {s : set (α → β)} {t : set α} : seq s t = ⋃f∈s, f '' t :=
set.ext $ by simp [seq]
@[simp] lemma mem_seq_iff {s : set (α → β)} {t : set α} {b : β} :
b ∈ seq s t ↔ ∃ (f ∈ s) (a ∈ t), (f : α → β) a = b :=
iff.rfl
lemma seq_subset {s : set (α → β)} {t : set α} {u : set β} :
seq s t ⊆ u ↔ (∀f∈s, ∀a∈t, (f : α → β) a ∈ u) :=
iff.intro
(assume h f hf a ha, h ⟨f, hf, a, ha, rfl⟩)
(assume h b ⟨f, hf, a, ha, eq⟩, eq ▸ h f hf a ha)
lemma seq_mono {s₀ s₁ : set (α → β)} {t₀ t₁ : set α} (hs : s₀ ⊆ s₁) (ht : t₀ ⊆ t₁) :
seq s₀ t₀ ⊆ seq s₁ t₁ :=
assume b ⟨f, hf, a, ha, eq⟩, ⟨f, hs hf, a, ht ha, eq⟩
lemma singleton_seq {f : α → β} {t : set α} : set.seq {f} t = f '' t :=
set.ext $ by simp
lemma seq_singleton {s : set (α → β)} {a : α} : set.seq s {a} = (λf:α→β, f a) '' s :=
set.ext $ by simp
lemma seq_seq {s : set (β → γ)} {t : set (α → β)} {u : set α} :
seq s (seq t u) = seq (seq ((∘) '' s) t) u :=
begin
refine set.ext (assume c, iff.intro _ _),
{ rintros ⟨f, hfs, b, ⟨g, hg, a, hau, rfl⟩, rfl⟩,
exact ⟨f ∘ g, ⟨(∘) f, mem_image_of_mem _ hfs, g, hg, rfl⟩, a, hau, rfl⟩ },
{ rintros ⟨fg, ⟨fc, ⟨f, hfs, rfl⟩, g, hgt, rfl⟩, a, ha, rfl⟩,
exact ⟨f, hfs, g a, ⟨g, hgt, a, ha, rfl⟩, rfl⟩ }
end
lemma image_seq {f : β → γ} {s : set (α → β)} {t : set α} :
f '' seq s t = seq ((∘) f '' s) t :=
by rw [← singleton_seq, ← singleton_seq, seq_seq, image_singleton]
lemma prod_eq_seq {s : set α} {t : set β} : set.prod s t = (prod.mk '' s).seq t :=
begin
ext ⟨a, b⟩,
split,
{ rintros ⟨ha, hb⟩, exact ⟨prod.mk a, ⟨a, ha, rfl⟩, b, hb, rfl⟩ },
{ rintros ⟨f, ⟨x, hx, rfl⟩, y, hy, eq⟩, rw ← eq, exact ⟨hx, hy⟩ }
end
lemma prod_image_seq_comm (s : set α) (t : set β) :
(prod.mk '' s).seq t = seq ((λb a, (a, b)) '' t) s :=
by rw [← prod_eq_seq, ← image_swap_prod, prod_eq_seq, image_seq, ← image_comp]
end seq
theorem monotone_prod [preorder α] {f : α → set β} {g : α → set γ}
(hf : monotone f) (hg : monotone g) : monotone (λx, set.prod (f x) (g x)) :=
assume a b h, prod_mono (hf h) (hg h)
instance : monad set :=
{ pure := λ(α : Type u) a, {a},
bind := λ(α β : Type u) s f, ⋃i∈s, f i,
seq := λ(α β : Type u), set.seq,
map := λ(α β : Type u), set.image }
instance : is_lawful_monad set :=
{ pure_bind := assume α β x f, by simp,
bind_assoc := assume α β γ s f g, set.ext $ assume a,
by simp [exists_and_distrib_right.symm, -exists_and_distrib_right,
exists_and_distrib_left.symm, -exists_and_distrib_left, and_assoc];
exact exists_swap,
id_map := assume α, id_map,
bind_pure_comp_eq_map := assume α β f s, set.ext $ by simp [set.image, eq_comm],
bind_map_eq_seq := assume α β s t, by simp [seq_def] }
instance : is_comm_applicative (set : Type u → Type u) :=
⟨ assume α β s t, prod_image_seq_comm s t ⟩
section monad
variables {α' β' : Type u} {s : set α'} {f : α' → set β'} {g : set (α' → β')}
@[simp] lemma bind_def : s >>= f = ⋃i∈s, f i := rfl
@[simp] lemma fmap_eq_image (f : α' → β') : f <$> s = f '' s := rfl
@[simp] lemma seq_eq_set_seq {α β : Type*} (s : set (α → β)) (t : set α) : s <*> t = s.seq t := rfl
@[simp] lemma pure_def (a : α) : (pure a : set α) = {a} := rfl
end monad
section pi
lemma pi_def {α : Type*} {π : α → Type*} (i : set α) (s : Πa, set (π a)) :
pi i s = (⋂ a∈i, ((λf:(Πa, π a), f a) ⁻¹' (s a))) :=
by ext; simp [pi]
end pi
end set
/- disjoint sets -/
namespace set
protected theorem disjoint_iff {s t : set α} : disjoint s t ↔ s ∩ t ⊆ ∅ := iff.rfl
lemma not_disjoint_iff {s t : set α} : ¬disjoint s t ↔ ∃x, x ∈ s ∧ x ∈ t :=
(not_congr (set.disjoint_iff.trans subset_empty_iff)).trans ne_empty_iff_nonempty
lemma disjoint_left {s t : set α} : disjoint s t ↔ ∀ {a}, a ∈ s → a ∉ t :=
show (∀ x, ¬(x ∈ s ∩ t)) ↔ _, from ⟨λ h a, not_and.1 $ h a, λ h a, not_and.2 $ h a⟩
theorem disjoint_right {s t : set α} : disjoint s t ↔ ∀ {a}, a ∈ t → a ∉ s :=
by rw [disjoint.comm, disjoint_left]
theorem disjoint_diff {a b : set α} : disjoint a (b \ a) :=
disjoint_iff.2 (inter_diff_self _ _)
theorem disjoint_compl (s : set α) : disjoint s (-s) := assume a ⟨h₁, h₂⟩, h₂ h₁
theorem disjoint_singleton_left {a : α} {s : set α} : disjoint {a} s ↔ a ∉ s :=
by simp [set.disjoint_iff, subset_def]; exact iff.rfl
theorem disjoint_singleton_right {a : α} {s : set α} : disjoint s {a} ↔ a ∉ s :=
by rw [disjoint.comm]; exact disjoint_singleton_left
theorem disjoint_image_image {f : β → α} {g : γ → α} {s : set β} {t : set γ}
(h : ∀b∈s, ∀c∈t, f b ≠ g c) : disjoint (f '' s) (g '' t) :=
by rintros a ⟨⟨b, hb, eq⟩, ⟨c, hc, rfl⟩⟩; exact h b hb c hc eq
/-- A collection of sets is `pairwise_disjoint`, if any two different sets in this collection
are disjoint. -/
def pairwise_disjoint (s : set (set α)) : Prop :=
pairwise_on s disjoint
lemma pairwise_disjoint.subset {s t : set (set α)} (h : s ⊆ t)
(ht : pairwise_disjoint t) : pairwise_disjoint s :=
pairwise_on.mono h ht
lemma pairwise_disjoint.range {s : set (set α)} (f : s → set α) (hf : ∀(x : s), f x ⊆ x.1)
(ht : pairwise_disjoint s) : pairwise_disjoint (range f) :=
begin
rintro _ ⟨x, rfl⟩ _ ⟨y, rfl⟩ hxy, refine (ht _ x.2 _ y.2 _).mono (hf x) (hf y),
intro h, apply hxy, apply congr_arg f, exact subtype.eq h
end
/- warning: classical -/
lemma pairwise_disjoint.elim {s : set (set α)} (h : pairwise_disjoint s) {x y : set α}
(hx : x ∈ s) (hy : y ∈ s) (z : α) (hzx : z ∈ x) (hzy : z ∈ y) : x = y :=
classical.not_not.1 $ λ h', h x hx y hy h' ⟨hzx, hzy⟩
end set
namespace set
variables (t : α → set β)
def sigma_to_Union (x : Σi, t i) : (⋃i, t i) := ⟨x.2, mem_Union.2 ⟨x.1, x.2.2⟩⟩
lemma surjective_sigma_to_Union : surjective (sigma_to_Union t)
| ⟨b, hb⟩ := have ∃a, b ∈ t a, by simpa using hb, let ⟨a, hb⟩ := this in ⟨⟨a, ⟨b, hb⟩⟩, rfl⟩
lemma injective_sigma_to_Union (h : ∀i j, i ≠ j → disjoint (t i) (t j)) :
injective (sigma_to_Union t)
| ⟨a₁, ⟨b₁, h₁⟩⟩ ⟨a₂, ⟨b₂, h₂⟩⟩ eq :=
have b_eq : b₁ = b₂, from congr_arg subtype.val eq,
have a_eq : a₁ = a₂, from classical.by_contradiction $ assume ne,
have b₁ ∈ t a₁ ∩ t a₂, from ⟨h₁, b_eq.symm ▸ h₂⟩,
h _ _ ne this,
sigma.eq a_eq $ subtype.eq $ by subst b_eq; subst a_eq
lemma bijective_sigma_to_Union (h : ∀i j, i ≠ j → disjoint (t i) (t j)) :
bijective (sigma_to_Union t) :=
⟨injective_sigma_to_Union t h, surjective_sigma_to_Union t⟩
noncomputable def Union_eq_sigma_of_disjoint {t : α → set β}
(h : ∀i j, i ≠ j → disjoint (t i) (t j)) : (⋃i, t i) ≃ (Σi, t i) :=
(equiv.of_bijective $ bijective_sigma_to_Union t h).symm
noncomputable def bUnion_eq_sigma_of_disjoint {s : set α} {t : α → set β}
(h : pairwise_on s (disjoint on t)) : (⋃i∈s, t i) ≃ (Σi:s, t i.val) :=
equiv.trans (equiv.set_congr (bUnion_eq_Union _ _)) $ Union_eq_sigma_of_disjoint $
assume ⟨i, hi⟩ ⟨j, hj⟩ ne, h _ hi _ hj $ assume eq, ne $ subtype.eq eq
end set
|
e22836667a36d732ad7e419d4ebd8895878d0f42 | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/algebraic_topology/dold_kan/normalized.lean | e6e55b3f70a4decec8ff4ddacc699e881071aeac | [
"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 | 5,554 | lean | /-
Copyright (c) 2022 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import algebraic_topology.dold_kan.functor_n
/-!
# Comparison with the normalized Moore complex functor
TODO (@joelriou) continue adding the various files referenced below
In this file, we show that when the category `A` is abelian,
there is an isomorphism `N₁_iso_normalized_Moore_complex_comp_to_karoubi` between
the functor `N₁ : simplicial_object A ⥤ karoubi (chain_complex A ℕ)`
defined in `functor_n.lean` and the composition of
`normalized_Moore_complex A` with the inclusion
`chain_complex A ℕ ⥤ karoubi (chain_complex A ℕ)`.
This isomorphism shall be used in `equivalence.lean` in order to obtain
the Dold-Kan equivalence
`category_theory.abelian.dold_kan.equivalence : simplicial_object A ≌ chain_complex A ℕ`
with a functor (definitionally) equal to `normalized_Moore_complex A`.
-/
open category_theory category_theory.category category_theory.limits
category_theory.subobject category_theory.idempotents
open_locale dold_kan
noncomputable theory
namespace algebraic_topology
namespace dold_kan
universe v
variables {A : Type*} [category A] [abelian A] {X : simplicial_object A}
lemma higher_faces_vanish.inclusion_of_Moore_complex_map (n : ℕ) :
higher_faces_vanish (n+1) ((inclusion_of_Moore_complex_map X).f (n+1)) := λ j hj,
begin
dsimp [inclusion_of_Moore_complex_map],
rw [← factor_thru_arrow _ _ (finset_inf_arrow_factors finset.univ
_ j (by simp only [finset.mem_univ])), assoc, kernel_subobject_arrow_comp, comp_zero],
end
lemma factors_normalized_Moore_complex_P_infty (n : ℕ) :
subobject.factors (normalized_Moore_complex.obj_X X n) (P_infty.f n) :=
begin
cases n,
{ apply top_factors, },
{ rw [P_infty_f, normalized_Moore_complex.obj_X, finset_inf_factors],
intros i hi,
apply kernel_subobject_factors,
exact (higher_faces_vanish.of_P (n+1) n) i (le_add_self), }
end
/-- P_infty factors through the normalized Moore complex -/
@[simps]
def P_infty_to_normalized_Moore_complex (X : simplicial_object A) : K[X] ⟶ N[X] :=
chain_complex.of_hom _ _ _ _ _ _
(λ n, factor_thru _ _ (factors_normalized_Moore_complex_P_infty n))
(λ n, begin
rw [← cancel_mono (normalized_Moore_complex.obj_X X n).arrow, assoc, assoc,
factor_thru_arrow, ← inclusion_of_Moore_complex_map_f,
← normalized_Moore_complex_obj_d, ← (inclusion_of_Moore_complex_map X).comm' (n+1) n rfl,
inclusion_of_Moore_complex_map_f, factor_thru_arrow_assoc,
← alternating_face_map_complex_obj_d],
exact P_infty.comm' (n+1) n rfl,
end)
@[simp, reassoc]
lemma P_infty_to_normalized_Moore_complex_comp_inclusion_of_Moore_complex_map
(X : simplicial_object A) :
P_infty_to_normalized_Moore_complex X ≫ inclusion_of_Moore_complex_map X = P_infty := by tidy
@[simp, reassoc]
lemma P_infty_to_normalized_Moore_complex_naturality {X Y : simplicial_object A} (f : X ⟶ Y) :
alternating_face_map_complex.map f ≫ P_infty_to_normalized_Moore_complex Y =
P_infty_to_normalized_Moore_complex X ≫ normalized_Moore_complex.map f := by tidy
@[simp, reassoc]
lemma P_infty_comp_P_infty_to_normalized_Moore_complex (X : simplicial_object A) :
P_infty ≫ P_infty_to_normalized_Moore_complex X = P_infty_to_normalized_Moore_complex X :=
by tidy
@[simp, reassoc]
lemma inclusion_of_Moore_complex_map_comp_P_infty (X : simplicial_object A) :
inclusion_of_Moore_complex_map X ≫ P_infty = inclusion_of_Moore_complex_map X :=
begin
ext n,
cases n,
{ dsimp, simp only [comp_id], },
{ exact (higher_faces_vanish.inclusion_of_Moore_complex_map n).comp_P_eq_self, },
end
instance : mono (inclusion_of_Moore_complex_map X) :=
⟨λ Y f₁ f₂ hf, by { ext n, exact homological_complex.congr_hom hf n, }⟩
/-- `inclusion_of_Moore_complex_map X` is a split mono. -/
def split_mono_inclusion_of_Moore_complex_map (X : simplicial_object A) :
split_mono (inclusion_of_Moore_complex_map X) :=
{ retraction := P_infty_to_normalized_Moore_complex X,
id' := by simp only [← cancel_mono (inclusion_of_Moore_complex_map X), assoc, id_comp,
P_infty_to_normalized_Moore_complex_comp_inclusion_of_Moore_complex_map,
inclusion_of_Moore_complex_map_comp_P_infty], }
variable (A)
/-- When the category `A` is abelian,
the functor `N₁ : simplicial_object A ⥤ karoubi (chain_complex A ℕ)` defined
using `P_infty` identifies to the composition of the normalized Moore complex functor
and the inclusion in the Karoubi envelope. -/
def N₁_iso_normalized_Moore_complex_comp_to_karoubi :
N₁ ≅ (normalized_Moore_complex A ⋙ to_karoubi _) :=
{ hom :=
{ app := λ X,
{ f := P_infty_to_normalized_Moore_complex X,
comm := by tidy, }, },
inv :=
{ app := λ X,
{ f := inclusion_of_Moore_complex_map X,
comm := by tidy, }, },
hom_inv_id' := begin
ext X : 3,
simp only [P_infty_to_normalized_Moore_complex_comp_inclusion_of_Moore_complex_map,
nat_trans.comp_app, karoubi.comp, N₁_obj_p, nat_trans.id_app, karoubi.id_eq],
end,
inv_hom_id' := begin
ext X : 3,
simp only [← cancel_mono (inclusion_of_Moore_complex_map X),
nat_trans.comp_app, karoubi.comp, assoc, nat_trans.id_app, karoubi.id_eq,
P_infty_to_normalized_Moore_complex_comp_inclusion_of_Moore_complex_map,
inclusion_of_Moore_complex_map_comp_P_infty],
dsimp only [functor.comp_obj, to_karoubi],
rw id_comp,
end }
end dold_kan
end algebraic_topology
|
d086290e11116991b24e3ced2cb43ce4ebc80079 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/vector2.lean | 6618114fa0a813a86cb02c04b31255a006e01d7b | [
"Apache-2.0"
] | permissive | leanprover-community/lean | 12b87f69d92e614daea8bcc9d4de9a9ace089d0e | cce7990ea86a78bdb383e38ed7f9b5ba93c60ce0 | refs/heads/master | 1,687,508,156,644 | 1,684,951,104,000 | 1,684,951,104,000 | 169,960,991 | 457 | 107 | Apache-2.0 | 1,686,744,372,000 | 1,549,790,268,000 | C++ | UTF-8 | Lean | false | false | 376 | lean | namespace Ex
open nat
inductive vector (A : Type) : nat → Type
| vnil : vector nat.zero
| vcons : Π {n : nat}, A → vector n → vector (succ n)
namespace vector
theorem vcons.inj₁ {A : Type} {n : nat} (a₁ a₂ : A) (v₁ v₂ : vector A n) : vcons a₁ v₁ = vcons a₂ v₂ → a₁ = a₂ :=
assume h, vector.no_confusion h (λ n h t, h)
end vector
end Ex
|
2b189a51fe5c69928619228fb789bdccb5f56fb3 | cf39355caa609c0f33405126beee2739aa3cb77e | /tests/lean/run/even_odd2.lean | de89ba850e1c21c6850495d2977c5b6e48412b01 | [
"Apache-2.0"
] | permissive | leanprover-community/lean | 12b87f69d92e614daea8bcc9d4de9a9ace089d0e | cce7990ea86a78bdb383e38ed7f9b5ba93c60ce0 | refs/heads/master | 1,687,508,156,644 | 1,684,951,104,000 | 1,684,951,104,000 | 169,960,991 | 457 | 107 | Apache-2.0 | 1,686,744,372,000 | 1,549,790,268,000 | C++ | UTF-8 | Lean | false | false | 489 | lean | mutual def even, odd
with even : nat → bool
| 0 := tt
| (a+1) := odd a
with odd : nat → bool
| 0 := ff
| (a+1) := even a
using_well_founded {rel_tac := λ f eqns, tactic.trace f >> tactic.trace eqns >> tactic.apply_instance}
example (a : nat) : even (a + 1) = odd a :=
by simp [even]
example (a : nat) : odd (a + 1) = even a :=
by simp [odd]
lemma even_eq_not_odd : ∀ a, even a = bnot (odd a) :=
begin
intro a, induction a,
simp [even, odd],
simp [*, even, odd]
end
|
a95bf23a6a6d4b944b01d6e50f594da80409a74d | 4b846d8dabdc64e7ea03552bad8f7fa74763fc67 | /tests/lean/char_lits.lean | 074bdb35ffe965d880c9bd77ced84673ae2809c5 | [
"Apache-2.0"
] | permissive | pacchiano/lean | 9324b33f3ac3b5c5647285160f9f6ea8d0d767dc | fdadada3a970377a6df8afcd629a6f2eab6e84e8 | refs/heads/master | 1,611,357,380,399 | 1,489,870,101,000 | 1,489,870,101,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 193 | lean | import system.io
open io
#check #"a"
#eval #"a"
#eval #"\n"
#eval #"\\"
#eval put_str (list.cons #"\\" "aaa")
#eval put_str [#"\n"]
#eval put_str [#"\n"]
#eval put_str (list.cons #"\'" "aaa")
|
e0aebf642e5661940eb375d98fb455c2c4c7db0e | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/algebra/order/field.lean | 1b3766df2847dd4ec7408236270a7acdd564b281 | [
"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 | 28,761 | lean | /-
Copyright (c) 2014 Robert Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Lewis, Leonardo de Moura, Mario Carneiro, Floris van Doorn
-/
import algebra.field
import algebra.group_power.order
import algebra.order.ring
import tactic.monotonicity.basic
/-!
# Linear ordered fields
A linear ordered field is a field equipped with a linear order such that
* addition respects the order: `a ≤ b → c + a ≤ c + b`;
* multiplication of positives is positive: `0 < a → 0 < b → 0 < a * b`;
* `0 < 1`.
## Main Definitions
* `linear_ordered_field`: the class of linear ordered fields.
-/
set_option old_structure_cmd true
variable {α : Type*}
/-- A linear ordered field is a field with a linear order respecting the operations. -/
@[protect_proj] class linear_ordered_field (α : Type*) extends linear_ordered_comm_ring α, field α
section linear_ordered_field
variables [linear_ordered_field α] {a b c d e : α}
section
/-- `equiv.mul_left₀` as an order_iso. -/
@[simps {simp_rhs := tt}]
def order_iso.mul_left₀ (a : α) (ha : 0 < a) : α ≃o α :=
{ map_rel_iff' := λ _ _, mul_le_mul_left ha, ..equiv.mul_left₀ a ha.ne' }
/-- `equiv.mul_right₀` as an order_iso. -/
@[simps {simp_rhs := tt}]
def order_iso.mul_right₀ (a : α) (ha : 0 < a) : α ≃o α :=
{ map_rel_iff' := λ _ _, mul_le_mul_right ha, ..equiv.mul_right₀ a ha.ne' }
end
/-!
### Lemmas about pos, nonneg, nonpos, neg
-/
@[simp] lemma inv_pos : 0 < a⁻¹ ↔ 0 < a :=
suffices ∀ a : α, 0 < a → 0 < a⁻¹,
from ⟨λ h, inv_inv₀ a ▸ this _ h, this a⟩,
assume a ha, flip lt_of_mul_lt_mul_left ha.le $ by simp [ne_of_gt ha, zero_lt_one]
@[simp] lemma inv_nonneg : 0 ≤ a⁻¹ ↔ 0 ≤ a :=
by simp only [le_iff_eq_or_lt, inv_pos, zero_eq_inv]
@[simp] lemma inv_lt_zero : a⁻¹ < 0 ↔ a < 0 :=
by simp only [← not_le, inv_nonneg]
@[simp] lemma inv_nonpos : a⁻¹ ≤ 0 ↔ a ≤ 0 :=
by simp only [← not_lt, inv_pos]
lemma one_div_pos : 0 < 1 / a ↔ 0 < a :=
inv_eq_one_div a ▸ inv_pos
lemma one_div_neg : 1 / a < 0 ↔ a < 0 :=
inv_eq_one_div a ▸ inv_lt_zero
lemma one_div_nonneg : 0 ≤ 1 / a ↔ 0 ≤ a :=
inv_eq_one_div a ▸ inv_nonneg
lemma one_div_nonpos : 1 / a ≤ 0 ↔ a ≤ 0 :=
inv_eq_one_div a ▸ inv_nonpos
lemma div_pos_iff : 0 < a / b ↔ 0 < a ∧ 0 < b ∨ a < 0 ∧ b < 0 :=
by simp [division_def, mul_pos_iff]
lemma div_neg_iff : a / b < 0 ↔ 0 < a ∧ b < 0 ∨ a < 0 ∧ 0 < b :=
by simp [division_def, mul_neg_iff]
lemma div_nonneg_iff : 0 ≤ a / b ↔ 0 ≤ a ∧ 0 ≤ b ∨ a ≤ 0 ∧ b ≤ 0 :=
by simp [division_def, mul_nonneg_iff]
lemma div_nonpos_iff : a / b ≤ 0 ↔ 0 ≤ a ∧ b ≤ 0 ∨ a ≤ 0 ∧ 0 ≤ b :=
by simp [division_def, mul_nonpos_iff]
lemma div_pos (ha : 0 < a) (hb : 0 < b) : 0 < a / b :=
div_pos_iff.2 $ or.inl ⟨ha, hb⟩
lemma div_pos_of_neg_of_neg (ha : a < 0) (hb : b < 0) : 0 < a / b :=
div_pos_iff.2 $ or.inr ⟨ha, hb⟩
lemma div_neg_of_neg_of_pos (ha : a < 0) (hb : 0 < b) : a / b < 0 :=
div_neg_iff.2 $ or.inr ⟨ha, hb⟩
lemma div_neg_of_pos_of_neg (ha : 0 < a) (hb : b < 0) : a / b < 0 :=
div_neg_iff.2 $ or.inl ⟨ha, hb⟩
lemma div_nonneg (ha : 0 ≤ a) (hb : 0 ≤ b) : 0 ≤ a / b :=
div_nonneg_iff.2 $ or.inl ⟨ha, hb⟩
lemma div_nonneg_of_nonpos (ha : a ≤ 0) (hb : b ≤ 0) : 0 ≤ a / b :=
div_nonneg_iff.2 $ or.inr ⟨ha, hb⟩
lemma div_nonpos_of_nonpos_of_nonneg (ha : a ≤ 0) (hb : 0 ≤ b) : a / b ≤ 0 :=
div_nonpos_iff.2 $ or.inr ⟨ha, hb⟩
lemma div_nonpos_of_nonneg_of_nonpos (ha : 0 ≤ a) (hb : b ≤ 0) : a / b ≤ 0 :=
div_nonpos_iff.2 $ or.inl ⟨ha, hb⟩
/-!
### Relating one division with another term.
-/
lemma le_div_iff (hc : 0 < c) : a ≤ b / c ↔ a * c ≤ b :=
⟨λ h, div_mul_cancel b (ne_of_lt hc).symm ▸ mul_le_mul_of_nonneg_right h hc.le,
λ h, calc
a = a * c * (1 / c) : mul_mul_div a (ne_of_lt hc).symm
... ≤ b * (1 / c) : mul_le_mul_of_nonneg_right h (one_div_pos.2 hc).le
... = b / c : (div_eq_mul_one_div b c).symm⟩
lemma le_div_iff' (hc : 0 < c) : a ≤ b / c ↔ c * a ≤ b :=
by rw [mul_comm, le_div_iff hc]
lemma div_le_iff (hb : 0 < b) : a / b ≤ c ↔ a ≤ c * b :=
⟨λ h, calc
a = a / b * b : by rw (div_mul_cancel _ (ne_of_lt hb).symm)
... ≤ c * b : mul_le_mul_of_nonneg_right h hb.le,
λ h, calc
a / b = a * (1 / b) : div_eq_mul_one_div a b
... ≤ (c * b) * (1 / b) : mul_le_mul_of_nonneg_right h (one_div_pos.2 hb).le
... = (c * b) / b : (div_eq_mul_one_div (c * b) b).symm
... = c : by refine (div_eq_iff (ne_of_gt hb)).mpr rfl⟩
lemma div_le_iff' (hb : 0 < b) : a / b ≤ c ↔ a ≤ b * c :=
by rw [mul_comm, div_le_iff hb]
lemma lt_div_iff (hc : 0 < c) : a < b / c ↔ a * c < b :=
lt_iff_lt_of_le_iff_le $ div_le_iff hc
lemma lt_div_iff' (hc : 0 < c) : a < b / c ↔ c * a < b :=
by rw [mul_comm, lt_div_iff hc]
lemma div_lt_iff (hc : 0 < c) : b / c < a ↔ b < a * c :=
lt_iff_lt_of_le_iff_le (le_div_iff hc)
lemma div_lt_iff' (hc : 0 < c) : b / c < a ↔ b < c * a :=
by rw [mul_comm, div_lt_iff hc]
lemma inv_mul_le_iff (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ b * c :=
begin
rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div],
exact div_le_iff' h,
end
lemma inv_mul_le_iff' (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ c * b :=
by rw [inv_mul_le_iff h, mul_comm]
lemma mul_inv_le_iff (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ b * c :=
by rw [mul_comm, inv_mul_le_iff h]
lemma mul_inv_le_iff' (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ c * b :=
by rw [mul_comm, inv_mul_le_iff' h]
lemma inv_mul_lt_iff (h : 0 < b) : b⁻¹ * a < c ↔ a < b * c :=
begin
rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div],
exact div_lt_iff' h,
end
lemma inv_mul_lt_iff' (h : 0 < b) : b⁻¹ * a < c ↔ a < c * b :=
by rw [inv_mul_lt_iff h, mul_comm]
lemma mul_inv_lt_iff (h : 0 < b) : a * b⁻¹ < c ↔ a < b * c :=
by rw [mul_comm, inv_mul_lt_iff h]
lemma mul_inv_lt_iff' (h : 0 < b) : a * b⁻¹ < c ↔ a < c * b :=
by rw [mul_comm, inv_mul_lt_iff' h]
lemma inv_pos_le_iff_one_le_mul (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ b * a :=
by { rw [inv_eq_one_div], exact div_le_iff ha }
lemma inv_pos_le_iff_one_le_mul' (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ a * b :=
by { rw [inv_eq_one_div], exact div_le_iff' ha }
lemma inv_pos_lt_iff_one_lt_mul (ha : 0 < a) : a⁻¹ < b ↔ 1 < b * a :=
by { rw [inv_eq_one_div], exact div_lt_iff ha }
lemma inv_pos_lt_iff_one_lt_mul' (ha : 0 < a) : a⁻¹ < b ↔ 1 < a * b :=
by { rw [inv_eq_one_div], exact div_lt_iff' ha }
lemma div_le_iff_of_neg (hc : c < 0) : b / c ≤ a ↔ a * c ≤ b :=
⟨λ h, div_mul_cancel b (ne_of_lt hc) ▸ mul_le_mul_of_nonpos_right h hc.le,
λ h, calc
a = a * c * (1 / c) : mul_mul_div a (ne_of_lt hc)
... ≥ b * (1 / c) : mul_le_mul_of_nonpos_right h (one_div_neg.2 hc).le
... = b / c : (div_eq_mul_one_div b c).symm⟩
lemma div_le_iff_of_neg' (hc : c < 0) : b / c ≤ a ↔ c * a ≤ b :=
by rw [mul_comm, div_le_iff_of_neg hc]
lemma le_div_iff_of_neg (hc : c < 0) : a ≤ b / c ↔ b ≤ a * c :=
by rw [← neg_neg c, mul_neg_eq_neg_mul_symm, div_neg, le_neg,
div_le_iff (neg_pos.2 hc), neg_mul_eq_neg_mul_symm]
lemma le_div_iff_of_neg' (hc : c < 0) : a ≤ b / c ↔ b ≤ c * a :=
by rw [mul_comm, le_div_iff_of_neg hc]
lemma div_lt_iff_of_neg (hc : c < 0) : b / c < a ↔ a * c < b :=
lt_iff_lt_of_le_iff_le $ le_div_iff_of_neg hc
lemma div_lt_iff_of_neg' (hc : c < 0) : b / c < a ↔ c * a < b :=
by rw [mul_comm, div_lt_iff_of_neg hc]
lemma lt_div_iff_of_neg (hc : c < 0) : a < b / c ↔ b < a * c :=
lt_iff_lt_of_le_iff_le $ div_le_iff_of_neg hc
lemma lt_div_iff_of_neg' (hc : c < 0) : a < b / c ↔ b < c * a :=
by rw [mul_comm, lt_div_iff_of_neg hc]
/-- One direction of `div_le_iff` where `b` is allowed to be `0` (but `c` must be nonnegative) -/
lemma div_le_of_nonneg_of_le_mul (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ c * b) : a / b ≤ c :=
by { rcases eq_or_lt_of_le hb with rfl|hb', simp [hc], rwa [div_le_iff hb'] }
lemma div_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a / b ≤ 1 :=
div_le_of_nonneg_of_le_mul hb zero_le_one $ by rwa one_mul
/-!
### Bi-implications of inequalities using inversions
-/
lemma inv_le_inv_of_le (ha : 0 < a) (h : a ≤ b) : b⁻¹ ≤ a⁻¹ :=
by rwa [← one_div a, le_div_iff' ha, ← div_eq_mul_inv, div_le_iff (ha.trans_le h), one_mul]
/-- See `inv_le_inv_of_le` for the implication from right-to-left with one fewer assumption. -/
lemma inv_le_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b⁻¹ ↔ b ≤ a :=
by rw [← one_div, div_le_iff ha, ← div_eq_inv_mul, le_div_iff hb, one_mul]
/-- In a linear ordered field, for positive `a` and `b` we have `a⁻¹ ≤ b ↔ b⁻¹ ≤ a`.
See also `inv_le_of_inv_le` for a one-sided implication with one fewer assumption. -/
lemma inv_le (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b ↔ b⁻¹ ≤ a :=
by rw [← inv_le_inv hb (inv_pos.2 ha), inv_inv₀]
lemma inv_le_of_inv_le (ha : 0 < a) (h : a⁻¹ ≤ b) : b⁻¹ ≤ a :=
(inv_le ha ((inv_pos.2 ha).trans_le h)).1 h
lemma le_inv (ha : 0 < a) (hb : 0 < b) : a ≤ b⁻¹ ↔ b ≤ a⁻¹ :=
by rw [← inv_le_inv (inv_pos.2 hb) ha, inv_inv₀]
lemma inv_lt_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b⁻¹ ↔ b < a :=
lt_iff_lt_of_le_iff_le (inv_le_inv hb ha)
/-- In a linear ordered field, for positive `a` and `b` we have `a⁻¹ < b ↔ b⁻¹ < a`.
See also `inv_lt_of_inv_lt` for a one-sided implication with one fewer assumption. -/
lemma inv_lt (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b ↔ b⁻¹ < a :=
lt_iff_lt_of_le_iff_le (le_inv hb ha)
lemma inv_lt_of_inv_lt (ha : 0 < a) (h : a⁻¹ < b) : b⁻¹ < a :=
(inv_lt ha ((inv_pos.2 ha).trans h)).1 h
lemma lt_inv (ha : 0 < a) (hb : 0 < b) : a < b⁻¹ ↔ b < a⁻¹ :=
lt_iff_lt_of_le_iff_le (inv_le hb ha)
lemma inv_le_inv_of_neg (ha : a < 0) (hb : b < 0) : a⁻¹ ≤ b⁻¹ ↔ b ≤ a :=
by rw [← one_div, div_le_iff_of_neg ha, ← div_eq_inv_mul, div_le_iff_of_neg hb, one_mul]
lemma inv_le_of_neg (ha : a < 0) (hb : b < 0) : a⁻¹ ≤ b ↔ b⁻¹ ≤ a :=
by rw [← inv_le_inv_of_neg hb (inv_lt_zero.2 ha), inv_inv₀]
lemma le_inv_of_neg (ha : a < 0) (hb : b < 0) : a ≤ b⁻¹ ↔ b ≤ a⁻¹ :=
by rw [← inv_le_inv_of_neg (inv_lt_zero.2 hb) ha, inv_inv₀]
lemma inv_lt_inv_of_neg (ha : a < 0) (hb : b < 0) : a⁻¹ < b⁻¹ ↔ b < a :=
lt_iff_lt_of_le_iff_le (inv_le_inv_of_neg hb ha)
lemma inv_lt_of_neg (ha : a < 0) (hb : b < 0) : a⁻¹ < b ↔ b⁻¹ < a :=
lt_iff_lt_of_le_iff_le (le_inv_of_neg hb ha)
lemma lt_inv_of_neg (ha : a < 0) (hb : b < 0) : a < b⁻¹ ↔ b < a⁻¹ :=
lt_iff_lt_of_le_iff_le (inv_le_of_neg hb ha)
lemma inv_lt_one (ha : 1 < a) : a⁻¹ < 1 :=
by rwa [inv_lt ((@zero_lt_one α _ _).trans ha) zero_lt_one, inv_one]
lemma one_lt_inv (h₁ : 0 < a) (h₂ : a < 1) : 1 < a⁻¹ :=
by rwa [lt_inv (@zero_lt_one α _ _) h₁, inv_one]
lemma inv_le_one (ha : 1 ≤ a) : a⁻¹ ≤ 1 :=
by rwa [inv_le ((@zero_lt_one α _ _).trans_le ha) zero_lt_one, inv_one]
lemma one_le_inv (h₁ : 0 < a) (h₂ : a ≤ 1) : 1 ≤ a⁻¹ :=
by rwa [le_inv (@zero_lt_one α _ _) h₁, inv_one]
lemma inv_lt_one_iff_of_pos (h₀ : 0 < a) : a⁻¹ < 1 ↔ 1 < a :=
⟨λ h₁, inv_inv₀ a ▸ one_lt_inv (inv_pos.2 h₀) h₁, inv_lt_one⟩
lemma inv_lt_one_iff : a⁻¹ < 1 ↔ a ≤ 0 ∨ 1 < a :=
begin
cases le_or_lt a 0 with ha ha,
{ simp [ha, (inv_nonpos.2 ha).trans_lt zero_lt_one] },
{ simp only [ha.not_le, false_or, inv_lt_one_iff_of_pos ha] }
end
lemma one_lt_inv_iff : 1 < a⁻¹ ↔ 0 < a ∧ a < 1 :=
⟨λ h, ⟨inv_pos.1 (zero_lt_one.trans h), inv_inv₀ a ▸ inv_lt_one h⟩, and_imp.2 one_lt_inv⟩
lemma inv_le_one_iff : a⁻¹ ≤ 1 ↔ a ≤ 0 ∨ 1 ≤ a :=
begin
rcases em (a = 1) with (rfl|ha),
{ simp [le_rfl] },
{ simp only [ne.le_iff_lt (ne.symm ha), ne.le_iff_lt (mt inv_eq_one₀.1 ha), inv_lt_one_iff] }
end
lemma one_le_inv_iff : 1 ≤ a⁻¹ ↔ 0 < a ∧ a ≤ 1 :=
⟨λ h, ⟨inv_pos.1 (zero_lt_one.trans_le h), inv_inv₀ a ▸ inv_le_one h⟩, and_imp.2 one_le_inv⟩
/-!
### Relating two divisions.
-/
@[mono] lemma div_le_div_of_le (hc : 0 ≤ c) (h : a ≤ b) : a / c ≤ b / c :=
begin
rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c],
exact mul_le_mul_of_nonneg_right h (one_div_nonneg.2 hc)
end
-- Not a `mono` lemma b/c `div_le_div` is strictly more general
lemma div_le_div_of_le_left (ha : 0 ≤ a) (hc : 0 < c) (h : c ≤ b) : a / b ≤ a / c :=
begin
rw [div_eq_mul_inv, div_eq_mul_inv],
exact mul_le_mul_of_nonneg_left ((inv_le_inv (hc.trans_le h) hc).mpr h) ha
end
lemma div_le_div_of_le_of_nonneg (hab : a ≤ b) (hc : 0 ≤ c) : a / c ≤ b / c :=
div_le_div_of_le hc hab
lemma div_le_div_of_nonpos_of_le (hc : c ≤ 0) (h : b ≤ a) : a / c ≤ b / c :=
begin
rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c],
exact mul_le_mul_of_nonpos_right h (one_div_nonpos.2 hc)
end
lemma div_lt_div_of_lt (hc : 0 < c) (h : a < b) : a / c < b / c :=
begin
rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c],
exact mul_lt_mul_of_pos_right h (one_div_pos.2 hc)
end
lemma div_lt_div_of_neg_of_lt (hc : c < 0) (h : b < a) : a / c < b / c :=
begin
rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c],
exact mul_lt_mul_of_neg_right h (one_div_neg.2 hc)
end
lemma div_le_div_right (hc : 0 < c) : a / c ≤ b / c ↔ a ≤ b :=
⟨le_imp_le_of_lt_imp_lt $ div_lt_div_of_lt hc, div_le_div_of_le $ hc.le⟩
lemma div_le_div_right_of_neg (hc : c < 0) : a / c ≤ b / c ↔ b ≤ a :=
⟨le_imp_le_of_lt_imp_lt $ div_lt_div_of_neg_of_lt hc, div_le_div_of_nonpos_of_le $ hc.le⟩
lemma div_lt_div_right (hc : 0 < c) : a / c < b / c ↔ a < b :=
lt_iff_lt_of_le_iff_le $ div_le_div_right hc
lemma div_lt_div_right_of_neg (hc : c < 0) : a / c < b / c ↔ b < a :=
lt_iff_lt_of_le_iff_le $ div_le_div_right_of_neg hc
lemma div_lt_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b < a / c ↔ c < b :=
by simp only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv hb hc]
lemma div_le_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b ≤ a / c ↔ c ≤ b :=
le_iff_le_iff_lt_iff_lt.2 (div_lt_div_left ha hc hb)
lemma div_lt_div_iff (b0 : 0 < b) (d0 : 0 < d) :
a / b < c / d ↔ a * d < c * b :=
by rw [lt_div_iff d0, div_mul_eq_mul_div, div_lt_iff b0]
lemma div_le_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b ≤ c / d ↔ a * d ≤ c * b :=
by rw [le_div_iff d0, div_mul_eq_mul_div, div_le_iff b0]
@[mono] lemma div_le_div (hc : 0 ≤ c) (hac : a ≤ c) (hd : 0 < d) (hbd : d ≤ b) : a / b ≤ c / d :=
by { rw div_le_div_iff (hd.trans_le hbd) hd, exact mul_le_mul hac hbd hd.le hc }
lemma div_lt_div (hac : a < c) (hbd : d ≤ b) (c0 : 0 ≤ c) (d0 : 0 < d) :
a / b < c / d :=
(div_lt_div_iff (d0.trans_le hbd) d0).2 (mul_lt_mul hac hbd d0 c0)
lemma div_lt_div' (hac : a ≤ c) (hbd : d < b) (c0 : 0 < c) (d0 : 0 < d) :
a / b < c / d :=
(div_lt_div_iff (d0.trans hbd) d0).2 (mul_lt_mul' hac hbd d0.le c0)
lemma div_lt_div_of_lt_left (hb : 0 < b) (h : b < a) (hc : 0 < c) : c / a < c / b :=
(div_lt_div_left hc (hb.trans h) hb).mpr h
/-!
### Relating one division and involving `1`
-/
lemma one_le_div (hb : 0 < b) : 1 ≤ a / b ↔ b ≤ a :=
by rw [le_div_iff hb, one_mul]
lemma div_le_one (hb : 0 < b) : a / b ≤ 1 ↔ a ≤ b :=
by rw [div_le_iff hb, one_mul]
lemma one_lt_div (hb : 0 < b) : 1 < a / b ↔ b < a :=
by rw [lt_div_iff hb, one_mul]
lemma div_lt_one (hb : 0 < b) : a / b < 1 ↔ a < b :=
by rw [div_lt_iff hb, one_mul]
lemma one_le_div_of_neg (hb : b < 0) : 1 ≤ a / b ↔ a ≤ b :=
by rw [le_div_iff_of_neg hb, one_mul]
lemma div_le_one_of_neg (hb : b < 0) : a / b ≤ 1 ↔ b ≤ a :=
by rw [div_le_iff_of_neg hb, one_mul]
lemma one_lt_div_of_neg (hb : b < 0) : 1 < a / b ↔ a < b :=
by rw [lt_div_iff_of_neg hb, one_mul]
lemma div_lt_one_of_neg (hb : b < 0) : a / b < 1 ↔ b < a :=
by rw [div_lt_iff_of_neg hb, one_mul]
lemma one_div_le (ha : 0 < a) (hb : 0 < b) : 1 / a ≤ b ↔ 1 / b ≤ a :=
by simpa using inv_le ha hb
lemma one_div_lt (ha : 0 < a) (hb : 0 < b) : 1 / a < b ↔ 1 / b < a :=
by simpa using inv_lt ha hb
lemma le_one_div (ha : 0 < a) (hb : 0 < b) : a ≤ 1 / b ↔ b ≤ 1 / a :=
by simpa using le_inv ha hb
lemma lt_one_div (ha : 0 < a) (hb : 0 < b) : a < 1 / b ↔ b < 1 / a :=
by simpa using lt_inv ha hb
lemma one_div_le_of_neg (ha : a < 0) (hb : b < 0) : 1 / a ≤ b ↔ 1 / b ≤ a :=
by simpa using inv_le_of_neg ha hb
lemma one_div_lt_of_neg (ha : a < 0) (hb : b < 0) : 1 / a < b ↔ 1 / b < a :=
by simpa using inv_lt_of_neg ha hb
lemma le_one_div_of_neg (ha : a < 0) (hb : b < 0) : a ≤ 1 / b ↔ b ≤ 1 / a :=
by simpa using le_inv_of_neg ha hb
lemma lt_one_div_of_neg (ha : a < 0) (hb : b < 0) : a < 1 / b ↔ b < 1 / a :=
by simpa using lt_inv_of_neg ha hb
lemma one_lt_div_iff : 1 < a / b ↔ 0 < b ∧ b < a ∨ b < 0 ∧ a < b :=
begin
rcases lt_trichotomy b 0 with (hb|rfl|hb),
{ simp [hb, hb.not_lt, one_lt_div_of_neg] },
{ simp [lt_irrefl, zero_le_one] },
{ simp [hb, hb.not_lt, one_lt_div] }
end
lemma one_le_div_iff : 1 ≤ a / b ↔ 0 < b ∧ b ≤ a ∨ b < 0 ∧ a ≤ b :=
begin
rcases lt_trichotomy b 0 with (hb|rfl|hb),
{ simp [hb, hb.not_lt, one_le_div_of_neg] },
{ simp [lt_irrefl, zero_lt_one.not_le, zero_lt_one] },
{ simp [hb, hb.not_lt, one_le_div] }
end
lemma div_lt_one_iff : a / b < 1 ↔ 0 < b ∧ a < b ∨ b = 0 ∨ b < 0 ∧ b < a :=
begin
rcases lt_trichotomy b 0 with (hb|rfl|hb),
{ simp [hb, hb.not_lt, hb.ne, div_lt_one_of_neg] },
{ simp [zero_lt_one], },
{ simp [hb, hb.not_lt, div_lt_one, hb.ne.symm] }
end
lemma div_le_one_iff : a / b ≤ 1 ↔ 0 < b ∧ a ≤ b ∨ b = 0 ∨ b < 0 ∧ b ≤ a :=
begin
rcases lt_trichotomy b 0 with (hb|rfl|hb),
{ simp [hb, hb.not_lt, hb.ne, div_le_one_of_neg] },
{ simp [zero_le_one], },
{ simp [hb, hb.not_lt, div_le_one, hb.ne.symm] }
end
/-!
### Relating two divisions, involving `1`
-/
lemma one_div_le_one_div_of_le (ha : 0 < a) (h : a ≤ b) : 1 / b ≤ 1 / a :=
by simpa using inv_le_inv_of_le ha h
lemma one_div_lt_one_div_of_lt (ha : 0 < a) (h : a < b) : 1 / b < 1 / a :=
by rwa [lt_div_iff' ha, ← div_eq_mul_one_div, div_lt_one (ha.trans h)]
lemma one_div_le_one_div_of_neg_of_le (hb : b < 0) (h : a ≤ b) : 1 / b ≤ 1 / a :=
by rwa [div_le_iff_of_neg' hb, ← div_eq_mul_one_div, div_le_one_of_neg (h.trans_lt hb)]
lemma one_div_lt_one_div_of_neg_of_lt (hb : b < 0) (h : a < b) : 1 / b < 1 / a :=
by rwa [div_lt_iff_of_neg' hb, ← div_eq_mul_one_div, div_lt_one_of_neg (h.trans hb)]
lemma le_of_one_div_le_one_div (ha : 0 < a) (h : 1 / a ≤ 1 / b) : b ≤ a :=
le_imp_le_of_lt_imp_lt (one_div_lt_one_div_of_lt ha) h
lemma lt_of_one_div_lt_one_div (ha : 0 < a) (h : 1 / a < 1 / b) : b < a :=
lt_imp_lt_of_le_imp_le (one_div_le_one_div_of_le ha) h
lemma le_of_neg_of_one_div_le_one_div (hb : b < 0) (h : 1 / a ≤ 1 / b) : b ≤ a :=
le_imp_le_of_lt_imp_lt (one_div_lt_one_div_of_neg_of_lt hb) h
lemma lt_of_neg_of_one_div_lt_one_div (hb : b < 0) (h : 1 / a < 1 / b) : b < a :=
lt_imp_lt_of_le_imp_le (one_div_le_one_div_of_neg_of_le hb) h
/-- For the single implications with fewer assumptions, see `one_div_le_one_div_of_le` and
`le_of_one_div_le_one_div` -/
lemma one_div_le_one_div (ha : 0 < a) (hb : 0 < b) : 1 / a ≤ 1 / b ↔ b ≤ a :=
div_le_div_left zero_lt_one ha hb
/-- For the single implications with fewer assumptions, see `one_div_lt_one_div_of_lt` and
`lt_of_one_div_lt_one_div` -/
lemma one_div_lt_one_div (ha : 0 < a) (hb : 0 < b) : 1 / a < 1 / b ↔ b < a :=
div_lt_div_left zero_lt_one ha hb
/-- For the single implications with fewer assumptions, see `one_div_lt_one_div_of_neg_of_lt` and
`lt_of_one_div_lt_one_div` -/
lemma one_div_le_one_div_of_neg (ha : a < 0) (hb : b < 0) : 1 / a ≤ 1 / b ↔ b ≤ a :=
by simpa [one_div] using inv_le_inv_of_neg ha hb
/-- For the single implications with fewer assumptions, see `one_div_lt_one_div_of_lt` and
`lt_of_one_div_lt_one_div` -/
lemma one_div_lt_one_div_of_neg (ha : a < 0) (hb : b < 0) : 1 / a < 1 / b ↔ b < a :=
lt_iff_lt_of_le_iff_le (one_div_le_one_div_of_neg hb ha)
lemma one_lt_one_div (h1 : 0 < a) (h2 : a < 1) : 1 < 1 / a :=
by rwa [lt_one_div (@zero_lt_one α _ _) h1, one_div_one]
lemma one_le_one_div (h1 : 0 < a) (h2 : a ≤ 1) : 1 ≤ 1 / a :=
by rwa [le_one_div (@zero_lt_one α _ _) h1, one_div_one]
lemma one_div_lt_neg_one (h1 : a < 0) (h2 : -1 < a) : 1 / a < -1 :=
suffices 1 / a < 1 / -1, by rwa one_div_neg_one_eq_neg_one at this,
one_div_lt_one_div_of_neg_of_lt h1 h2
lemma one_div_le_neg_one (h1 : a < 0) (h2 : -1 ≤ a) : 1 / a ≤ -1 :=
suffices 1 / a ≤ 1 / -1, by rwa one_div_neg_one_eq_neg_one at this,
one_div_le_one_div_of_neg_of_le h1 h2
/-!
### Results about halving.
The equalities also hold in fields of characteristic `0`. -/
lemma add_halves (a : α) : a / 2 + a / 2 = a :=
by rw [div_add_div_same, ← two_mul, mul_div_cancel_left a two_ne_zero]
lemma sub_self_div_two (a : α) : a - a / 2 = a / 2 :=
suffices a / 2 + a / 2 - a / 2 = a / 2, by rwa add_halves at this,
by rw [add_sub_cancel]
lemma div_two_sub_self (a : α) : a / 2 - a = - (a / 2) :=
suffices a / 2 - (a / 2 + a / 2) = - (a / 2), by rwa add_halves at this,
by rw [sub_add_eq_sub_sub, sub_self, zero_sub]
lemma add_self_div_two (a : α) : (a + a) / 2 = a :=
by rw [← mul_two, mul_div_cancel a two_ne_zero]
lemma half_pos (h : 0 < a) : 0 < a / 2 := div_pos h zero_lt_two
lemma one_half_pos : (0:α) < 1 / 2 := half_pos zero_lt_one
lemma div_two_lt_of_pos (h : 0 < a) : a / 2 < a :=
by { rw [div_lt_iff (@zero_lt_two α _ _)], exact lt_mul_of_one_lt_right h one_lt_two }
lemma half_lt_self : 0 < a → a / 2 < a := div_two_lt_of_pos
lemma half_le_self (ha_nonneg : 0 ≤ a) : a / 2 ≤ a :=
begin
by_cases h0 : a = 0,
{ simp [h0], },
{ rw ← ne.def at h0,
exact (half_lt_self (lt_of_le_of_ne ha_nonneg h0.symm)).le, },
end
lemma one_half_lt_one : (1 / 2 : α) < 1 := half_lt_self zero_lt_one
lemma add_sub_div_two_lt (h : a < b) : a + (b - a) / 2 < b :=
begin
rwa [← div_sub_div_same, sub_eq_add_neg, add_comm (b/2), ← add_assoc, ← sub_eq_add_neg,
← lt_sub_iff_add_lt, sub_self_div_two, sub_self_div_two, div_lt_div_right (@zero_lt_two α _ _)]
end
lemma left_lt_add_div_two : a < (a + b) / 2 ↔ a < b := by simp [lt_div_iff, mul_two]
lemma add_div_two_lt_right : (a + b) / 2 < b ↔ a < b := by simp [div_lt_iff, mul_two]
/-- An inequality involving `2`. -/
lemma sub_one_div_inv_le_two (a2 : 2 ≤ a) :
(1 - 1 / a)⁻¹ ≤ 2 :=
begin
-- Take inverses on both sides to obtain `2⁻¹ ≤ 1 - 1 / a`
refine trans (inv_le_inv_of_le (inv_pos.mpr zero_lt_two) _) (inv_inv₀ (2 : α)).le,
-- move `1 / a` to the left and `1 - 1 / 2 = 1 / 2` to the right to obtain `1 / a ≤ ⅟ 2`
refine trans ((le_sub_iff_add_le.mpr ((_ : _ + 2⁻¹ = _ ).le))) ((sub_le_sub_iff_left 1).mpr _),
{ -- show 2⁻¹ + 2⁻¹ = 1
exact trans (two_mul _).symm (mul_inv_cancel two_ne_zero) },
{ -- take inverses on both sides and use the assumption `2 ≤ a`.
exact (one_div a).le.trans (inv_le_inv_of_le zero_lt_two a2) }
end
/-!
### Miscellaneous lemmas
-/
/-- Pullback a `linear_ordered_field` under an injective map.
See note [reducible non-instances]. -/
@[reducible]
def function.injective.linear_ordered_field {β : Type*}
[has_zero β] [has_one β] [has_add β] [has_mul β] [has_neg β] [has_sub β] [has_inv β] [has_div β]
[nontrivial β]
(f : β → α) (hf : function.injective f) (zero : f 0 = 0) (one : f 1 = 1)
(add : ∀ x y, f (x + y) = f x + f y) (mul : ∀ x y, f (x * y) = f x * f y)
(neg : ∀ x, f (-x) = -f x) (sub : ∀ x y, f (x - y) = f x - f y)
(inv : ∀ x, f (x⁻¹) = (f x)⁻¹) (div : ∀ x y, f (x / y) = f x / f y) :
linear_ordered_field β :=
{ ..hf.linear_ordered_ring f zero one add mul neg sub,
..hf.field f zero one add mul neg sub inv div}
lemma mul_sub_mul_div_mul_neg_iff (hc : c ≠ 0) (hd : d ≠ 0) :
(a * d - b * c) / (c * d) < 0 ↔ a / c < b / d :=
by rw [mul_comm b c, ← div_sub_div _ _ hc hd, sub_lt_zero]
alias mul_sub_mul_div_mul_neg_iff ↔ div_lt_div_of_mul_sub_mul_div_neg mul_sub_mul_div_mul_neg
lemma mul_sub_mul_div_mul_nonpos_iff (hc : c ≠ 0) (hd : d ≠ 0) :
(a * d - b * c) / (c * d) ≤ 0 ↔ a / c ≤ b / d :=
by rw [mul_comm b c, ← div_sub_div _ _ hc hd, sub_nonpos]
alias mul_sub_mul_div_mul_nonpos_iff ↔
div_le_div_of_mul_sub_mul_div_nonpos mul_sub_mul_div_mul_nonpos
lemma mul_le_mul_of_mul_div_le (h : a * (b / c) ≤ d) (hc : 0 < c) : b * a ≤ d * c :=
begin
rw [← mul_div_assoc] at h,
rwa [mul_comm b, ← div_le_iff hc],
end
lemma div_mul_le_div_mul_of_div_le_div (h : a / b ≤ c / d) (he : 0 ≤ e) :
a / (b * e) ≤ c / (d * e) :=
begin
rw [div_mul_eq_div_mul_one_div, div_mul_eq_div_mul_one_div],
exact mul_le_mul_of_nonneg_right h (one_div_nonneg.2 he)
end
lemma exists_add_lt_and_pos_of_lt (h : b < a) : ∃ c : α, b + c < a ∧ 0 < c :=
⟨(a - b) / 2, add_sub_div_two_lt h, div_pos (sub_pos_of_lt h) zero_lt_two⟩
lemma exists_pos_mul_lt {a : α} (h : 0 < a) (b : α) : ∃ c : α, 0 < c ∧ b * c < a :=
begin
have : 0 < a / max (b + 1) 1, from div_pos h (lt_max_iff.2 (or.inr zero_lt_one)),
refine ⟨a / max (b + 1) 1, this, _⟩,
rw [← lt_div_iff this, div_div_cancel' h.ne'],
exact lt_max_iff.2 (or.inl $ lt_add_one _)
end
lemma le_of_forall_sub_le (h : ∀ ε > 0, b - ε ≤ a) : b ≤ a :=
begin
contrapose! h,
simpa only [and_comm ((0 : α) < _), lt_sub_iff_add_lt, gt_iff_lt]
using exists_add_lt_and_pos_of_lt h,
end
lemma monotone.div_const {β : Type*} [preorder β] {f : β → α} (hf : monotone f)
{c : α} (hc : 0 ≤ c) : monotone (λ x, (f x) / c) :=
by simpa only [div_eq_mul_inv] using hf.mul_const (inv_nonneg.2 hc)
lemma strict_mono.div_const {β : Type*} [preorder β] {f : β → α} (hf : strict_mono f)
{c : α} (hc : 0 < c) :
strict_mono (λ x, (f x) / c) :=
by simpa only [div_eq_mul_inv] using hf.mul_const (inv_pos.2 hc)
@[priority 100] -- see Note [lower instance priority]
instance linear_ordered_field.to_densely_ordered : densely_ordered α :=
{ dense := λ a₁ a₂ h, ⟨(a₁ + a₂) / 2,
calc a₁ = (a₁ + a₁) / 2 : (add_self_div_two a₁).symm
... < (a₁ + a₂) / 2 : div_lt_div_of_lt zero_lt_two (add_lt_add_left h _),
calc (a₁ + a₂) / 2 < (a₂ + a₂) / 2 : div_lt_div_of_lt zero_lt_two (add_lt_add_right h _)
... = a₂ : add_self_div_two a₂⟩ }
lemma mul_self_inj_of_nonneg (a0 : 0 ≤ a) (b0 : 0 ≤ b) : a * a = b * b ↔ a = b :=
mul_self_eq_mul_self_iff.trans $ or_iff_left_of_imp $
λ h, by { subst a, have : b = 0 := le_antisymm (neg_nonneg.1 a0) b0, rw [this, neg_zero] }
lemma min_div_div_right {c : α} (hc : 0 ≤ c) (a b : α) : min (a / c) (b / c) = (min a b) / c :=
eq.symm $ monotone.map_min (λ x y, div_le_div_of_le hc)
lemma max_div_div_right {c : α} (hc : 0 ≤ c) (a b : α) : max (a / c) (b / c) = (max a b) / c :=
eq.symm $ monotone.map_max (λ x y, div_le_div_of_le hc)
lemma min_div_div_right_of_nonpos {c : α} (hc : c ≤ 0) (a b : α) :
min (a / c) (b / c) = (max a b) / c :=
eq.symm $ @monotone.map_max α (order_dual α) _ _ _ _ _ (λ x y, div_le_div_of_nonpos_of_le hc)
lemma max_div_div_right_of_nonpos {c : α} (hc : c ≤ 0) (a b : α) :
max (a / c) (b / c) = (min a b) / c :=
eq.symm $ @monotone.map_min α (order_dual α) _ _ _ _ _ (λ x y, div_le_div_of_nonpos_of_le hc)
lemma abs_div (a b : α) : |a / b| = |a| / |b| :=
(abs_hom : monoid_with_zero_hom α α).map_div a b
lemma abs_one_div (a : α) : |1 / a| = 1 / |a| :=
by rw [abs_div, abs_one]
lemma abs_inv (a : α) : |a⁻¹| = (|a|)⁻¹ :=
(abs_hom : monoid_with_zero_hom α α).map_inv a
-- TODO: add lemmas with `a⁻¹`.
lemma one_div_strict_anti_on : strict_anti_on (λ x : α, 1 / x) (set.Ioi 0) :=
λ x x1 y y1 xy, (one_div_lt_one_div (set.mem_Ioi.mp y1) (set.mem_Ioi.mp x1)).mpr xy
lemma one_div_pow_le_one_div_pow_of_le (a1 : 1 ≤ a) {m n : ℕ} (mn : m ≤ n) :
1 / a ^ n ≤ 1 / a ^ m :=
by refine (one_div_le_one_div _ _).mpr (pow_le_pow a1 mn);
exact pow_pos (zero_lt_one.trans_le a1) _
lemma one_div_pow_lt_one_div_pow_of_lt (a1 : 1 < a) {m n : ℕ} (mn : m < n) :
1 / a ^ n < 1 / a ^ m :=
by refine (one_div_lt_one_div _ _).mpr (pow_lt_pow a1 mn);
exact pow_pos (trans zero_lt_one a1) _
lemma one_div_pow_mono (a1 : 1 ≤ a) : monotone (λ n : ℕ, order_dual.to_dual 1 / a ^ n) :=
λ m n, one_div_pow_le_one_div_pow_of_le a1
lemma one_div_pow_strict_mono (a1 : 1 < a) : strict_mono (λ n : ℕ, order_dual.to_dual 1 / a ^ n) :=
λ m n, one_div_pow_lt_one_div_pow_of_lt a1
end linear_ordered_field
|
992bbfe242830fc430e32e5c7ef7355dfbdd2ee3 | 9dd3f3912f7321eb58ee9aa8f21778ad6221f87c | /tests/lean/run/lift_nested_rec.lean | 3a5905064230f131bfd192bab40f571e01118cc1 | [
"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 | 243 | lean | definition f : nat → (nat × nat) → nat
| 0 m := m.1
| (n+1) m :=
match m with
| (a, b) := (f n (b, a + 1)) + (f n (a, b))
end
check @f._main.equations._eqn_1
check @f._main.equations._eqn_2
check @f._match_1.equations._eqn_1
|
33193ff2f8df258569007ea43c68b66463cbae2c | 4a092885406df4e441e9bb9065d9405dacb94cd8 | /src/for_mathlib/rings.lean | b9c870a4cc5b1eb64bc13365e592223517503468 | [
"Apache-2.0"
] | permissive | semorrison/lean-perfectoid-spaces | 78c1572cedbfae9c3e460d8aaf91de38616904d8 | bb4311dff45791170bcb1b6a983e2591bee88a19 | refs/heads/master | 1,588,841,765,494 | 1,554,805,620,000 | 1,554,805,620,000 | 180,353,546 | 0 | 1 | null | 1,554,809,880,000 | 1,554,809,880,000 | null | UTF-8 | Lean | false | false | 2,517 | lean | import ring_theory.ideal_operations data.equiv.algebra
import for_mathlib.subtype
universes u u₁ u₂ v v₁ w
section
variables {R : Type*} {S : Type*} [monoid R] [monoid S]
lemma mul_left_mul {G : Type*} [semigroup G] (x y : G) :
(*) (x * y) = (*) x ∘ (*) y :=
funext $ λ _, mul_assoc _ _ _
-- It seems that semigroup homs don't exist in mathlib...
lemma is_monoid_hom.map_mul_left (f : R → S) [is_monoid_hom f] (x : R) :
f ∘ ((*) x) = ((*) (f x)) ∘ f :=
funext $ λ _, is_monoid_hom.map_mul f
end
namespace ideal
open function
variables {R : Type*} {S : Type*} [comm_ring R] [comm_ring S]
lemma pow_le_pow (I : ideal R) {m n : ℕ} (h : m ≤ n) :
I^n ≤ I^m :=
begin
cases nat.exists_eq_add_of_le h with k hk,
rw [hk, pow_add],
exact le_trans (mul_le_inf) (lattice.inf_le_left)
end
-- instance map_is_monoid_hom {f : R → S} [is_ring_hom f] :
-- is_monoid_hom (ideal.map f) :=
-- { map_one := ideal.map_top f,
-- map_mul := ideal.map_mul f }
lemma span_image {R : Type u} [comm_ring R] {S : Type v} [comm_ring S]
(f : R → S) [is_ring_hom f] (X : set R) :
span (f '' X) = map f (span X) :=
le_antisymm
(span_mono $ set.image_subset _ $ subset_span)
(map_le_iff_le_comap.2 $ span_le.2 $ λ x hx, subset_span $ set.mem_image_of_mem f hx)
@[simp] lemma map_quotient_self {R : Type u} [comm_ring R] (I : ideal R) :
ideal.map (ideal.quotient.mk I) I = ⊥ :=
lattice.eq_bot_iff.2 $ ideal.map_le_iff_le_comap.2 $
begin
intros x hx,
erw submodule.mem_bot I.quotient,
exact ideal.quotient.eq_zero_iff_mem.2 hx, apply_instance
end
lemma eq_bot_or_top {K : Type u} [discrete_field K] (I : ideal K) :
I = ⊥ ∨ I = ⊤ :=
begin
rw classical.or_iff_not_imp_right,
change _ ≠ _ → _,
rw ideal.ne_top_iff_one,
intro h1,
apply le_antisymm, swap, exact lattice.bot_le,
intros r hr,
by_cases H : r = 0,
simpa,
simpa [H, h1] using submodule.smul_mem I r⁻¹ hr,
end
lemma eq_bot_of_prime {K : Type u} [discrete_field K] (I : ideal K) [h : I.is_prime] :
I = ⊥ :=
classical.or_iff_not_imp_right.mp I.eq_bot_or_top h.1
-- This should just be the conjunction of
-- comap f ⊥ = ker f
-- ker f = ⊥ (for injective f)
lemma comap_bot_of_inj {R : Type u} [comm_ring R] {S : Type v} [comm_ring S] (f : R → S) [is_ring_hom f]
(h : injective f) :
ideal.comap f ⊥ = ⊥ :=
lattice.eq_bot_iff.2 $
begin
intros r hr,
change r ∈ f ⁻¹' {0} at hr,
simp at *,
apply h,
rw hr,
symmetry,
rw is_ring_hom.map_zero f,
end
end ideal
|
c0530e25b1c5a2ded547d0f0b20d1bc703a2d1ee | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/tactic/dependencies.lean | 9befb337213aaf6fbc9ff27571dc1a905b6e6be6 | [
"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 | 30,423 | lean | /-
Copyright (c) 2020 Jannis Limperg. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jannis Limperg
-/
import meta.rb_map
import tactic.core
/-!
# Tactics About Dependencies
This module provides tactics to compute dependencies and reverse dependencies of
hypotheses. An expression `e` depends on a hypothesis `h` if `e` would not be
valid if `h` were removed from the context. For example, the expression
`e := x > 0` depends on `x`. We say that `x` is a dependency of `e` and that `e`
is a reverse dependency of `x`.
It is sometimes useful to consider *inclusive* dependency: `e` inclusively
depends on `h` iff `e` depends on `h` or `e = h` (so inclusive dependency is the
reflexive closure of regular dependency).
Note that the standard library does not use quite the same terminology:
* `kdependencies`/`kdeps` from the standard library compute reverse
dependencies, not dependencies.
* `kdepends_on` and functions derived from it ignore local definitions and
therefore compute a weaker dependency relation (see next section).
## Local Definitions
Determining dependencies of hypotheses is usually straightforward: a hypothesis
`r : R` depends on another hypothesis `d : D` if `d` occurs in `R`. The
implementation is more involved, however, in the presence of local definitions.
Consider this context:
```lean
n m : ℕ
k : ℕ := m
o : ℕ := k
h : o > 0
```
`h` depends on `o`, `k` and `m`, but only the dependency on `o` is syntactically
obvious. `kdepends_on` ignores this complication and claims that `h` does not
depend on `k` or `m`. We do not follow this example but process local
definitions properly. This means that if the context contains a local
definition, we need to compute the syntactic dependencies of `h`, then their
dependencies, and so on.
## Direct Dependencies
If you want to ignore local definitions while computing dependencies, this
module also provides tactics to find the *direct* dependencies of a hypothesis.
These are the hypotheses that syntactically appear in the hypothesis's type (or
value, if the hypothesis is a local definition).
-/
open native
open expr_set (local_set_to_name_set)
open name_set (local_list_to_name_set)
namespace tactic
/-! ### Direct Dependencies -/
/-! #### Checking whether hypotheses directly depend on each other -/
/--
`type_has_local_in_name_set h ns` returns true iff the type of `h` contains a
local constant whose unique name appears in `ns`.
-/
meta def type_has_local_in_name_set (h : expr) (ns : name_set) : tactic bool := do
h_type ← infer_type h,
pure $ h_type.has_local_in ns
/--
`type_has_local_in_set h hs` returns true iff the type of `h` contains any of
the local constants `hs`.
-/
meta def type_has_local_in_set (h : expr) (hs : expr_set) : tactic bool :=
type_has_local_in_name_set h $ local_set_to_name_set hs
/--
`type_has_local_in h hs` returns true iff the type of `h` contains any of the
local constants `hs`.
-/
meta def type_has_local_in (h : expr) (hs : list expr) : tactic bool :=
type_has_local_in_name_set h $ local_list_to_name_set hs
/--
`local_def_value_has_local_in_name_set h ns` returns true iff `h` is a local
definition whose value contains a local constant whose unique name appears in
`ns`.
-/
meta def local_def_value_has_local_in_name_set (h : expr) (ns : name_set) :
tactic bool := do
(some h_val) ← try_core $ local_def_value h | pure ff,
pure $ h_val.has_local_in ns
/--
`local_def_value_has_local_in_set h hs` returns true iff `h` is a local
definition whose value contains any of the local constants `hs`.
-/
meta def local_def_value_has_local_in_set (h : expr) (hs : expr_set) :
tactic bool :=
local_def_value_has_local_in_name_set h $ local_set_to_name_set hs
/--
`local_def_value_has_local_in h hs` returns true iff `h` is a local definition
whose value contains any of the local constants `hs`.
-/
meta def local_def_value_has_local_in (h : expr) (hs : list expr) :
tactic bool :=
local_def_value_has_local_in_name_set h $ local_list_to_name_set hs
/--
`hyp_directly_depends_on_local_name_set h ns` is true iff the hypothesis `h`
directly depends on a hypothesis whose unique name appears in `ns`.
-/
meta def hyp_directly_depends_on_local_name_set (h : expr) (ns : name_set) :
tactic bool :=
list.mbor
[ type_has_local_in_name_set h ns,
local_def_value_has_local_in_name_set h ns ]
/--
`hyp_directly_depends_on_local_set h hs` is true iff the hypothesis `h` directly
depends on any of the hypotheses `hs`.
-/
meta def hyp_directly_depends_on_local_set (h : expr) (hs : expr_set) :
tactic bool :=
hyp_directly_depends_on_local_name_set h $ local_set_to_name_set hs
/--
`hyp_directly_depends_on_locals h hs` is true iff the hypothesis `h` directly
depends on any of the hypotheses `hs`.
-/
meta def hyp_directly_depends_on_locals (h : expr) (hs : list expr) :
tactic bool :=
hyp_directly_depends_on_local_name_set h $ local_list_to_name_set hs
/--
`hyp_directly_depends_on_local_name_set_inclusive h ns` is true iff the
hypothesis `h` directly depends on a hypothesis whose unique name appears in
`ns` or `h`'s name appears in `ns`.
-/
meta def hyp_directly_depends_on_local_name_set_inclusive (h : expr)
(ns : name_set) : tactic bool :=
list.mbor
[ pure $ ns.contains h.local_uniq_name
, hyp_directly_depends_on_local_name_set h ns ]
/--
`hyp_directly_depends_on_local_set_inclusive h ns` is true iff the hypothesis `h`
directly depends on any of the hypotheses `hs` or `h` appears in `hs`.
-/
meta def hyp_directly_depends_on_local_set_inclusive (h : expr) (hs : expr_set) :
tactic bool :=
hyp_directly_depends_on_local_name_set_inclusive h $ local_set_to_name_set hs
/--
`hyp_directly_depends_on_locals_inclusive h ns` is true iff the hypothesis `h`
directly depends on any of the hypotheses `hs` or `h` appears in `hs`.
-/
meta def hyp_directly_depends_on_locals_inclusive (h : expr) (hs : list expr) :
tactic bool :=
hyp_directly_depends_on_local_name_set_inclusive h $ local_list_to_name_set hs
/-! #### Computing the direct dependencies of a hypothesis -/
/--
`direct_dependency_set_of_hyp h` is the set of hypotheses that the hypothesis
`h` directly depends on. These are the hypotheses that appear in `h`'s type or
value (if `h` is a local definition).
-/
meta def direct_dependency_set_of_hyp (h : expr) : tactic expr_set := do
t ← infer_type h,
let deps := t.list_local_consts',
(some val) ← try_core $ local_def_value h | pure deps,
let deps := deps.union val.list_local_consts',
pure deps
/--
`direct_dependency_name_set_of_hyp h` is the set of unique names of hypotheses
that the hypothesis `h` directly depends on. These are the hypotheses that
appear in `h`'s type or value (if `h` is a local definition).
-/
meta def direct_dependency_name_set_of_hyp (h : expr) : tactic name_set :=
local_set_to_name_set <$> direct_dependency_set_of_hyp h
/--
`direct_dependencies_of_hyp h` is the list of hypotheses that the hypothesis `h`
directly depends on. These are the hypotheses that appear in `h`'s type or value
(if `h` is a local definition). The dependencies are returned in no particular
order.
-/
meta def direct_dependencies_of_hyp (h : expr) : tactic (list expr) :=
rb_set.to_list <$> direct_dependency_set_of_hyp h
/--
`direct_dependency_set_of_hyp_inclusive h` is the set of hypotheses that the
hypothesis `h` directly depends on, plus `h` itself.
-/
meta def direct_dependency_set_of_hyp_inclusive (h : expr) : tactic expr_set := do
deps ← direct_dependency_set_of_hyp h,
pure $ deps.insert h
/--
`direct_dependency_name_set_of_hyp_inclusive h` is the set of unique names of
hypotheses that the hypothesis `h` directly depends on, plus `h` itself.
-/
meta def direct_dependency_name_set_of_hyp_inclusive (h : expr) :
tactic name_set :=
local_set_to_name_set <$> direct_dependency_set_of_hyp_inclusive h
/--
`direct_dependencies_of_hyp_inclusive h` is the list of hypotheses that the
hypothesis `h` directly depends on, plus `h` itself. The dependencies are
returned in no particular order.
-/
meta def direct_dependencies_of_hyp_inclusive (h : expr) : tactic (list expr) :=
rb_set.to_list <$> direct_dependency_set_of_hyp_inclusive h
/-! ### Indirect/Transitive Dependencies -/
/-! #### Checking whether hypotheses depend on each other -/
/--
`hyp_depends_on_local_name_set' cache h ns` is true iff `h` depends on any of
the hypotheses whose unique names appear in `ns`. `cache` must be a set of
hypotheses known *not* to depend (even indirectly) on any of the `ns`. This is
a performance optimisation, so you can give an empty cache. The tactic also
returns an expanded cache with hypotheses which the tactic has encountered.
You probably want to use `tactic.hyp_depends_on_local_name_set` or
`tactic.hyps_depend_on_local_name_set` instead of this tactic.
-/
meta def hyp_depends_on_local_name_set' : expr_set → expr → name_set →
tactic (bool × expr_set) := λ cache h ns, do
ff ← pure $ cache.contains h | pure (ff, cache),
direct_deps ← direct_dependency_set_of_hyp h,
let has_dep := direct_deps.fold ff (λ d b, b || ns.contains d.local_uniq_name),
ff ← pure has_dep | pure (tt, cache),
(has_dep, cache) ← direct_deps.mfold (ff, cache) $ λ d ⟨b, cache⟩,
if b
then pure (tt, cache)
else hyp_depends_on_local_name_set' cache d ns,
if has_dep
then pure (tt, cache)
else pure (ff, cache.insert h)
/--
`hyp_depends_on_local_name_set h ns` is true iff the hypothesis `h` depends on
any of the hypotheses whose unique names appear in `ns`. If you need to check
dependencies of multiple hypotheses, use `tactic.hyps_depend_on_local_name_set`.
-/
meta def hyp_depends_on_local_name_set (h : expr) (ns : name_set) : tactic bool := do
ctx_has_local_def ← context_upto_hyp_has_local_def h,
if ctx_has_local_def
then prod.fst <$> hyp_depends_on_local_name_set' mk_expr_set h ns
else hyp_directly_depends_on_local_name_set h ns
/--
`hyp_depends_on_local_set h hs` is true iff the hypothesis `h` depends on
any of the hypotheses `hs`. If you need to check dependencies of multiple
hypotheses, use `tactic.hyps_depend_on_local_set`.
-/
meta def hyp_depends_on_local_set (h : expr) (hs : expr_set) : tactic bool :=
hyp_depends_on_local_name_set h $ local_set_to_name_set hs
/--
`hyp_depends_on_locals h hs` is true iff the hypothesis `h` depends on any of
the hypotheses `hs`. If you need to check dependencies of multiple hypotheses,
use `tactic.hyps_depend_on_locals`.
-/
meta def hyp_depends_on_locals (h : expr) (hs : list expr) : tactic bool :=
hyp_depends_on_local_name_set h $ local_list_to_name_set hs
/--
`hyps_depend_on_local_name_set hs ns` returns, for each `h ∈ hs`, whether `h`
depends on a hypothesis whose unique name appears in `ns`. This is the same as
(but more efficient than) calling `tactic.hyp_depends_on_local_name_set` for
every `h ∈ hs`.
-/
meta def hyps_depend_on_local_name_set (hs : list expr) (ns : name_set) :
tactic (list bool) := do
ctx_has_local ← context_has_local_def,
if ctx_has_local
then
let go : expr → list bool × expr_set → tactic (list bool × expr_set) :=
λ h ⟨deps, cache⟩, do
{ (h_dep, cache) ← hyp_depends_on_local_name_set' cache h ns,
pure (h_dep :: deps, cache) }
in
prod.fst <$> hs.mfoldr go ([], mk_expr_map)
else hs.mmap $ λ h, hyp_directly_depends_on_local_name_set h ns
/--
`hyps_depend_on_local_set hs is` returns, for each `h ∈ hs`, whether `h` depends
on any of the hypotheses `is`. This is the same as (but more efficient than)
calling `tactic.hyp_depends_on_local_set` for every `h ∈ hs`.
-/
meta def hyps_depend_on_local_set (hs : list expr) (is : expr_set) :
tactic (list bool) :=
hyps_depend_on_local_name_set hs $ local_set_to_name_set is
/--
`hyps_depend_on_locals hs is` returns, for each `h ∈ hs`, whether `h` depends
on any of the hypotheses `is`. This is the same as (but more efficient than)
calling `tactic.hyp_depends_on_locals` for every `h ∈ hs`.
-/
meta def hyps_depend_on_locals (hs is : list expr) : tactic (list bool) :=
hyps_depend_on_local_name_set hs $ local_list_to_name_set is
/--
`hyp_depends_on_local_name_set_inclusive' cache h ns` is true iff the hypothesis
`h` inclusively depends on a hypothesis whose unique name appears in `ns`.
`cache` must be a set of hypotheses known *not* to depend (even indirectly) on
any of the `ns`. This is a performance optimisation, so you can give an empty
cache. The tactic also returns an expanded cache with hypotheses which the
tactic has encountered. Note that the cache records exclusive, not inclusive
dependencies.
You probably want to use `tactic.hyp_depends_on_local_name_set_inclusive` or
`tactic.hyps_depend_on_local_name_set_inclusive` instead of this tactic.
-/
meta def hyp_depends_on_local_name_set_inclusive' (cache : expr_set) (h : expr)
(ns : name_set) : tactic (bool × expr_set) :=
if ns.contains h.local_uniq_name
then pure (tt, cache)
else hyp_depends_on_local_name_set' cache h ns
/--
`hyp_depends_on_local_name_set_inclusive h ns` is true iff the hypothesis `h`
inclusively depends on any of the hypotheses whose unique names appear in `ns`.
If you need to check the dependencies of multiple hypotheses, use
`tactic.hyps_depend_on_local_name_set_inclusive`.
-/
meta def hyp_depends_on_local_name_set_inclusive (h : expr) (ns : name_set) :
tactic bool :=
list.mbor
[ pure $ ns.contains h.local_uniq_name,
hyp_depends_on_local_name_set h ns ]
/--
`hyp_depends_on_local_set_inclusive h hs` is true iff the hypothesis `h`
inclusively depends on any of the hypotheses `hs`. If you need to check
dependencies of multiple hypotheses, use
`tactic.hyps_depend_on_local_set_inclusive`.
-/
meta def hyp_depends_on_local_set_inclusive (h : expr) (hs : expr_set) :
tactic bool :=
hyp_depends_on_local_name_set_inclusive h $ local_set_to_name_set hs
/--
`hyp_depends_on_locals_inclusive h hs` is true iff the hypothesis `h`
inclusively depends on any of the hypotheses `hs`. If you need to check
dependencies of multiple hypotheses, use
`tactic.hyps_depend_on_locals_inclusive`.
-/
meta def hyp_depends_on_locals_inclusive (h : expr) (hs : list expr) :
tactic bool :=
hyp_depends_on_local_name_set_inclusive h $ local_list_to_name_set hs
/--
`hyps_depend_on_local_name_set_inclusive hs ns` returns, for each `h ∈ hs`,
whether `h` inclusively depends on a hypothesis whose unique name appears in
`ns`. This is the same as (but more efficient than) calling
`tactic.hyp_depends_on_local_name_set_inclusive` for every `h ∈ hs`.
-/
meta def hyps_depend_on_local_name_set_inclusive (hs : list expr) (ns : name_set) :
tactic (list bool) := do
ctx_has_local ← context_has_local_def,
if ctx_has_local
then
let go : expr → list bool × expr_set → tactic (list bool × expr_set) :=
λ h ⟨deps, cache⟩, do
{ (h_dep, cache) ← hyp_depends_on_local_name_set_inclusive' cache h ns,
pure (h_dep :: deps, cache) }
in
prod.fst <$> hs.mfoldr go ([], mk_expr_map)
else
hs.mmap $ λ h, hyp_directly_depends_on_local_name_set_inclusive h ns
/--
`hyps_depend_on_local_set_inclusive hs is` returns, for each `h ∈ hs`, whether
`h` depends inclusively on any of the hypotheses `is`. This is the same as
(but more efficient than) calling `tactic.hyp_depends_on_local_set_inclusive`
for every `h ∈ hs`.
-/
meta def hyps_depend_on_local_set_inclusive (hs : list expr) (is : expr_set) :
tactic (list bool) :=
hyps_depend_on_local_name_set_inclusive hs $ local_set_to_name_set is
/--
`hyps_depend_on_locals_inclusive hs is` returns, for each `h ∈ hs`, whether `h`
depends inclusively on any of the hypotheses `is`. This is the same as (but more
efficient than) calling `tactic.hyp_depends_on_locals_inclusive` for every
`h ∈ hs`.
-/
meta def hyps_depend_on_locals_inclusive (hs is : list expr) : tactic (list bool) :=
hyps_depend_on_local_name_set_inclusive hs $ local_list_to_name_set is
/-! #### Computing the dependencies of a hypothesis -/
/--
`dependency_set_of_hyp' cache h` is the set of dependencies of the hypothesis
`h`. `cache` is a map from hypotheses to all their dependencies (including
indirect dependencies). This is a performance optimisation, so you can give an
empty cache. The tactic also returns an expanded cache with hypotheses which
the tactic has encountered.
You probably want to use `tactic.dependency_set_of_hyp` or
`tactic.dependency_sets_of_hyps` instead of this tactic.
-/
meta def dependency_set_of_hyp' : expr_map expr_set → expr →
tactic (expr_set × expr_map expr_set) := λ cache h, do
match cache.find h with
| some deps := pure (deps, cache)
| none := do
direct_deps ← direct_dependency_set_of_hyp h,
(deps, cache) ←
direct_deps.mfold (direct_deps, cache) $ λ h' ⟨deps, cache⟩, do
{ (deps', cache) ← dependency_set_of_hyp' cache h',
pure (deps.union deps', cache) },
pure (deps, cache.insert h deps)
end
/--
`dependency_set_of_hyp h` is the set of dependencies of the hypothesis `h`. If
you need the dependencies of multiple hypotheses, use
`tactic.dependency_sets_of_hyps`.
-/
meta def dependency_set_of_hyp (h : expr) : tactic expr_set := do
ctx_has_local ← context_upto_hyp_has_local_def h,
if ctx_has_local
then prod.fst <$> dependency_set_of_hyp' mk_expr_map h
else direct_dependency_set_of_hyp h
/--
`dependency_name_set_of_hyp h` is the set of unique names of the dependencies of
the hypothesis `h`. If you need the dependencies of multiple hypotheses, use
`tactic.dependency_name_sets_of_hyps`.
-/
meta def dependency_name_set_of_hyp (h : expr) : tactic name_set :=
local_set_to_name_set <$> dependency_set_of_hyp h
/--
`dependencies_of_hyp h` is the list of dependencies of the hypothesis `h`.
The dependencies are returned in no particular order. If you need the
dependencies of multiple hypotheses, use `tactic.dependencies_of_hyps`.
-/
meta def dependencies_of_hyp (h : expr) : tactic (list expr) :=
rb_set.to_list <$> dependency_set_of_hyp h
/--
`dependency_sets_of_hyps hs` returns, for each `h ∈ hs`, the set of dependencies
of `h`. This is the same as (but more performant than) using
`tactic.dependency_set_of_hyp` on every `h ∈ hs`.
-/
meta def dependency_sets_of_hyps (hs : list expr) : tactic (list expr_set) := do
ctx_has_def ← context_has_local_def,
if ctx_has_def
then
let go : expr → list expr_set × expr_map expr_set →
tactic (list expr_set × expr_map expr_set) := do
λ h ⟨deps, cache⟩, do
{ (h_deps, cache) ← dependency_set_of_hyp' cache h,
pure (h_deps :: deps, cache) }
in
prod.fst <$> hs.mfoldr go ([], mk_expr_map)
else
hs.mmap direct_dependency_set_of_hyp
/--
`dependency_name_sets_of_hyps hs` returns, for each `h ∈ hs`, the set of unique
names of the dependencies of `h`. This is the same as (but more performant than)
using `tactic.dependency_name_set_of_hyp` on every `h ∈ hs`.
-/
meta def dependency_name_sets_of_hyps (hs : list expr) : tactic (list name_set) :=
list.map local_set_to_name_set <$> dependency_sets_of_hyps hs
/--
`dependencies_of_hyps hs` returns, for each `h ∈ hs`, the dependencies of `h`.
The dependencies appear in no particular order in the returned lists. This is
the same as (but more performant than) using `tactic.dependencies_of_hyp` on
every `h ∈ hs`.
-/
meta def dependencies_of_hyps (hs : list expr) : tactic (list (list expr)) :=
list.map rb_set.to_list <$> dependency_sets_of_hyps hs
/--
`dependency_set_of_hyp_inclusive' cache h` is the set of dependencies of the
hypothesis `h`, plus `h` itself. `cache` is a map from hypotheses to all their
dependencies (including indirect dependencies). This is a performance
optimisation, so you can give an empty cache. The tactic also returns an
expanded cache with hypotheses which the tactic has encountered. Note that the
cache records exclusive, not inclusive dependencies.
You probably want to use `tactic.dependency_set_of_hyp_inclusive` or
`tactic.dependency_sets_of_hyps_inclusive` instead of this tactic.
-/
meta def dependency_set_of_hyp_inclusive' (cache : expr_map expr_set) (h : expr) :
tactic (expr_set × expr_map expr_set) := do
(deps, cache) ← dependency_set_of_hyp' cache h,
pure (deps.insert h, cache)
/--
`dependency_set_of_hyp_inclusive h` is the set of dependencies of the hypothesis
`h`, plus `h` itself. If you need the dependencies of multiple hypotheses, use
`tactic.dependency_sets_of_hyps_inclusive`.
-/
meta def dependency_set_of_hyp_inclusive (h : expr) : tactic expr_set := do
deps ← dependency_set_of_hyp h,
pure $ deps.insert h
/--
`dependency_name_set_of_hyp_inclusive h` is the set of unique names of the
dependencies of the hypothesis `h`, plus the unique name of `h` itself. If you
need the dependencies of multiple hypotheses, use
`tactic.dependency_name_sets_of_hyps_inclusive`.
-/
meta def dependency_name_set_of_hyp_inclusive (h : expr) : tactic name_set :=
local_set_to_name_set <$> dependency_set_of_hyp_inclusive h
/--
`dependencies_of_hyp_inclusive h` is the list of dependencies of the hypothesis
`h`, plus `h` itself. The dependencies are returned in no particular order. If
you need the dependencies of multiple hypotheses, use
`tactic.dependencies_of_hyps_inclusive`.
-/
meta def dependencies_of_hyp_inclusive (h : expr) : tactic (list expr) :=
rb_set.to_list <$> dependency_set_of_hyp_inclusive h
/--
`dependency_sets_of_hyps_inclusive hs` returns, for each `h ∈ hs`, the
dependencies of `h`, plus `h` itself. This is the same as (but more performant
than) using `tactic.dependency_set_of_hyp_inclusive` on every `h ∈ hs`.
-/
meta def dependency_sets_of_hyps_inclusive (hs : list expr) :
tactic (list expr_set) := do
ctx_has_def ← context_has_local_def,
if ctx_has_def
then
let go : expr → list expr_set × expr_map expr_set →
tactic (list expr_set × expr_map expr_set) :=
λ h ⟨deps, cache⟩, do
{ (h_deps, cache) ← dependency_set_of_hyp_inclusive' cache h,
pure (h_deps :: deps, cache) }
in
prod.fst <$> hs.mfoldr go ([], mk_expr_map)
else
hs.mmap direct_dependency_set_of_hyp_inclusive
/--
`dependency_name_sets_of_hyps_inclusive hs` returns, for each `h ∈ hs`, the
unique names of the dependencies of `h`, plus the unique name of `h` itself.
This is the same as (but more performant than) using
`tactic.dependency_name_set_of_hyp_inclusive` on every `h ∈ hs`.
-/
meta def dependency_name_sets_of_hyps_inclusive (hs : list expr) :
tactic (list name_set) :=
list.map local_set_to_name_set <$> dependency_sets_of_hyps_inclusive hs
/--
`dependencies_of_hyps_inclusive hs` returns, for each `h ∈ hs`, the dependencies
of `h`, plus `h` itself. The dependencies appear in no particular order in the
returned lists. This is the same as (but more performant than) using
`tactic.dependencies_of_hyp_inclusive` on every `h ∈ hs`.
-/
meta def dependencies_of_hyps_inclusive (hs : list expr) :
tactic (list (list expr)) :=
list.map rb_set.to_list <$> dependency_sets_of_hyps_inclusive hs
/-! #### Computing the reverse dependencies of a hypothesis -/
private meta def reverse_dependencies_of_hyp_name_set_aux (hs : name_set) :
list expr → list expr → name_set → tactic (list expr)
| [] revdeps _ := pure revdeps.reverse
| (H :: Hs) revdeps ns := do
let H_uname := H.local_uniq_name,
H_is_revdep ← list.mband
[ pure $ ¬ hs.contains H_uname,
hyp_directly_depends_on_local_name_set H ns ],
if H_is_revdep
then
reverse_dependencies_of_hyp_name_set_aux Hs (H :: revdeps)
(ns.insert H_uname)
else
reverse_dependencies_of_hyp_name_set_aux Hs revdeps ns
/--
`reverse_dependencies_of_hyp_name_set hs` is the list of reverse dependencies of
the hypotheses whose unique names appear in `hs`, excluding the `hs` themselves.
The reverse dependencies are returned in the order in which they appear in the
context.
-/
meta def reverse_dependencies_of_hyp_name_set (hs : name_set) :
tactic (list expr) := do
ctx ← local_context,
let ctx := ctx.after (λ h, hs.contains h.local_uniq_name),
reverse_dependencies_of_hyp_name_set_aux hs ctx [] hs
/--
`reverse_dependencies_of_hyp_set hs` is the list of reverse dependencies of the
hypotheses `hs`, excluding the `hs` themselves. The reverse dependencies are
returned in the order in which they appear in the context.
-/
meta def reverse_dependencies_of_hyp_set (hs : expr_set) : tactic (list expr) :=
reverse_dependencies_of_hyp_name_set $ local_set_to_name_set hs
/--
`reverse_dependencies_of_hyps hs` is the list of reverse dependencies of the
hypotheses `hs`, excluding the `hs` themselves. The reverse dependencies are
returned in the order in which they appear in the context.
-/
meta def reverse_dependencies_of_hyps (hs : list expr) : tactic (list expr) :=
reverse_dependencies_of_hyp_name_set $ local_list_to_name_set hs
private meta def reverse_dependencies_of_hyp_name_set_inclusive_aux :
list expr → list expr → name_set → tactic (list expr)
| [] revdeps _ := pure revdeps.reverse
| (H :: Hs) revdeps ns := do
let H_uname := H.local_uniq_name,
H_is_revdep ← list.mbor
[ pure $ ns.contains H.local_uniq_name,
hyp_directly_depends_on_local_name_set H ns ],
if H_is_revdep
then
reverse_dependencies_of_hyp_name_set_inclusive_aux Hs (H :: revdeps)
(ns.insert H_uname)
else
reverse_dependencies_of_hyp_name_set_inclusive_aux Hs revdeps ns
/--
`reverse_dependencies_of_hyp_name_set_inclusive hs` is the list of reverse
dependencies of the hypotheses whose unique names appear in `hs`, including the
`hs` themselves. The reverse dependencies are returned in the order in which
they appear in the context.
-/
meta def reverse_dependencies_of_hyp_name_set_inclusive (hs : name_set) :
tactic (list expr) := do
ctx ← local_context,
let ctx := ctx.drop_while (λ h, ¬ hs.contains h.local_uniq_name),
reverse_dependencies_of_hyp_name_set_inclusive_aux ctx [] hs
/--
`reverse_dependencies_of_hyp_set_inclusive hs` is the list of reverse
dependencies of the hypotheses `hs`, including the `hs` themselves. The
inclusive reverse dependencies are returned in the order in which they appear in
the context.
-/
meta def reverse_dependencies_of_hyp_set_inclusive (hs : expr_set) :
tactic (list expr) :=
reverse_dependencies_of_hyp_name_set_inclusive $ local_set_to_name_set hs
/--
`reverse_dependencies_of_hyps_inclusive hs` is the list of reverse dependencies
of the hypotheses `hs`, including the `hs` themselves. The reverse dependencies
are returned in the order in which they appear in the context.
-/
meta def reverse_dependencies_of_hyps_inclusive (hs : list expr) :
tactic (list expr) :=
reverse_dependencies_of_hyp_name_set_inclusive $ local_list_to_name_set hs
/-! ### Reverting a hypothesis and its reverse dependencies -/
/--
`revert_name_set hs` reverts the hypotheses whose unique names appear in `hs`,
as well as any hypotheses that depend on them. Returns the number of reverted
hypotheses and a list containing these hypotheses. The reverted hypotheses are
returned in the order in which they used to appear in the context and are
guaranteed to store the correct type (see `tactic.update_type`).
-/
meta def revert_name_set (hs : name_set) : tactic (ℕ × list expr) := do
to_revert ← reverse_dependencies_of_hyp_name_set_inclusive hs,
to_revert_with_types ← to_revert.mmap update_type,
num_reverted ← revert_lst to_revert,
pure (num_reverted, to_revert_with_types)
/--
`revert_set hs` reverts the hypotheses `hs`, as well as any hypotheses that
depend on them. Returns the number of reverted hypotheses and a list containing
these hypotheses. The reverted hypotheses are returned in the order in which
they used to appear in the context and are guaranteed to store the correct type
(see `tactic.update_type`).
-/
meta def revert_set (hs : expr_set) : tactic (ℕ × list expr) :=
revert_name_set $ local_set_to_name_set hs
/--
`revert_lst' hs` reverts the hypotheses `hs`, as well as any hypotheses that
depend on them. Returns the number of reverted hypotheses and a list containing
these hypotheses. The reverted hypotheses are returned in the order in which
they used to appear in the context and are guaranteed to store the correct type
(see `tactic.update_type`).
This is a more informative version of `tactic.revert_lst`.
-/
meta def revert_lst' (hs : list expr) : tactic (ℕ × list expr) :=
revert_name_set $ local_list_to_name_set hs
/--
`revert_reverse_dependencies_of_hyp h` reverts all the hypotheses that depend on
the hypothesis `h`, including the local definitions that have `h` in their
value. This fixes a bug in `tactic.revert_kdependencies` that does not revert
local definitions for which `h` only appears in the value. Returns the number
of reverted hypotheses.
-/
/- We cannot implement it as `revert e >> intro1` because that would change the
local constant in the context. -/
meta def revert_reverse_dependencies_of_hyp (h : expr) : tactic ℕ :=
reverse_dependencies_of_hyp_name_set (mk_name_set.insert h.local_uniq_name) >>=
revert_lst
/--
`revert_reverse_dependencies_of_hyp_name_set hs` reverts all the hypotheses that
depend on a hypothesis whose unique name appears in `hs`. The `hs` themselves
are not reverted, unless they depend on each other. Returns the number of
reverted hypotheses.
-/
meta def revert_reverse_dependencies_of_hyp_name_set (hs : name_set) : tactic ℕ :=
reverse_dependencies_of_hyp_name_set hs >>= revert_lst
/--
`revert_reverse_dependencies_of_hyp_set hs` reverts all the hypotheses that
depend on a hypothesis in `hs`. The `hs` themselves are not reverted, unless
they depend on each other. Returns the number of reverted hypotheses.
-/
meta def revert_reverse_dependencies_of_hyp_set (hs : expr_set) : tactic ℕ :=
reverse_dependencies_of_hyp_set hs >>= revert_lst
/--
`revert_reverse_dependencies_of_hyp hs` reverts all the hypotheses that depend
on a hypothesis in `hs`. The `hs` themselves are not reverted, unless they
depend on each other. Returns the number of reverted hypotheses.
-/
meta def revert_reverse_dependencies_of_hyps (hs : list expr) : tactic ℕ :=
reverse_dependencies_of_hyps hs >>= revert_lst
end tactic
|
dbb3681c66bb5fd2c67722d87d09846b8649e851 | fa02ed5a3c9c0adee3c26887a16855e7841c668b | /src/data/buffer/parser/basic.lean | e76841f87d0f791b089c5df3b6a57030564e19ea | [
"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 | 110,139 | lean | /-
Copyright (c) 2020 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky
-/
import data.string.basic
import data.buffer.basic
import data.nat.digits
/-!
# Parsers
`parser α` is the type that describes a computation that can ingest a `char_buffer`
and output, if successful, a term of type `α`.
This file expands on the definitions in the core library, proving that all the core library
parsers are `mono`. There are also lemmas on the composability of parsers.
## Main definitions
* `parse_result.pos` : The position of a `char_buffer` at which a `parser α` has finished.
* `parser.mono` : The property that a parser only moves forward within a buffer,
in both cases of success or failure.
## Implementation details
Lemmas about how parsers are mono are in the `mono` namespace. That allows using projection
notation for shorter term proofs that are parallel to the definitions of the parsers in structure.
-/
open parser parse_result
/--
For some `parse_result α`, give the position at which the result was provided, in either the
`done` or the `fail` case.
-/
@[simp] def parse_result.pos {α} : parse_result α → ℕ
| (done n _) := n
| (fail n _) := n
namespace parser
section defn_lemmas
variables {α β : Type} (msgs : thunk (list string)) (msg : thunk string)
variables (p q : parser α) (cb : char_buffer) (n n' : ℕ) {err : dlist string}
variables {a : α} {b : β}
/--
A `p : parser α` is defined to be `mono` if the result `p cb n` it gives,
for some `cb : char_buffer` and `n : ℕ`, (whether `done` or `fail`),
is always at a `parse_result.pos` that is at least `n`.
The `mono` property is used mainly for proper `orelse` behavior.
-/
class mono : Prop :=
(le' : ∀ (cb : char_buffer) (n : ℕ), n ≤ (p cb n).pos)
lemma mono.le [p.mono] : n ≤ (p cb n).pos := mono.le' cb n
/--
A `parser α` is defined to be `static` if it does not move on success.
-/
class static : Prop :=
(of_done : ∀ {cb : char_buffer} {n n' : ℕ} {a : α}, p cb n = done n' a → n = n')
/--
A `parser α` is defined to be `err_static` if it does not move on error.
-/
class err_static : Prop :=
(of_fail : ∀ {cb : char_buffer} {n n' : ℕ} {err : dlist string}, p cb n = fail n' err → n = n')
/--
A `parser α` is defined to be `step` if it always moves exactly one char forward on success.
-/
class step : Prop :=
(of_done : ∀ {cb : char_buffer} {n n' : ℕ} {a : α}, p cb n = done n' a → n' = n + 1)
/--
A `parser α` is defined to be `prog` if it always moves forward on success.
-/
class prog : Prop :=
(of_done : ∀ {cb : char_buffer} {n n' : ℕ} {a : α}, p cb n = done n' a → n < n')
/--
A `parser a` is defined to be `bounded` if it produces a
`fail` `parse_result` when it is parsing outside the provided `char_buffer`.
-/
class bounded : Prop :=
(ex' : ∀ {cb : char_buffer} {n : ℕ}, cb.size ≤ n → ∃ (n' : ℕ) (err : dlist string),
p cb n = fail n' err)
lemma bounded.exists (p : parser α) [p.bounded] {cb : char_buffer} {n : ℕ} (h : cb.size ≤ n) :
∃ (n' : ℕ) (err : dlist string), p cb n = fail n' err :=
bounded.ex' h
/--
A `parser a` is defined to be `unfailing` if it always produces a `done` `parse_result`.
-/
class unfailing : Prop :=
(ex' : ∀ (cb : char_buffer) (n : ℕ), ∃ (n' : ℕ) (a : α), p cb n = done n' a)
/--
A `parser a` is defined to be `conditionally_unfailing` if it produces a
`done` `parse_result` as long as it is parsing within the provided `char_buffer`.
-/
class conditionally_unfailing : Prop :=
(ex' : ∀ {cb : char_buffer} {n : ℕ}, n < cb.size → ∃ (n' : ℕ) (a : α), p cb n = done n' a)
lemma fail_iff :
(∀ pos' result, p cb n ≠ done pos' result) ↔
∃ (pos' : ℕ) (err : dlist string), p cb n = fail pos' err :=
by cases p cb n; simp
lemma success_iff :
(∀ pos' err, p cb n ≠ fail pos' err) ↔ ∃ (pos' : ℕ) (result : α), p cb n = done pos' result :=
by cases p cb n; simp
variables {p q cb n n' msgs msg}
lemma mono.of_done [p.mono] (h : p cb n = done n' a) : n ≤ n' :=
by simpa [h] using mono.le p cb n
lemma mono.of_fail [p.mono] (h : p cb n = fail n' err) : n ≤ n' :=
by simpa [h] using mono.le p cb n
lemma bounded.of_done [p.bounded] (h : p cb n = done n' a) : n < cb.size :=
begin
contrapose! h,
obtain ⟨np, err, hp⟩ := bounded.exists p h,
simp [hp]
end
lemma static.iff :
static p ↔ (∀ (cb : char_buffer) (n n' : ℕ) (a : α), p cb n = done n' a → n = n') :=
⟨λ h _ _ _ _ hp, by { haveI := h, exact static.of_done hp}, λ h, ⟨h⟩⟩
lemma exists_done (p : parser α) [p.unfailing] (cb : char_buffer) (n : ℕ) :
∃ (n' : ℕ) (a : α), p cb n = done n' a :=
unfailing.ex' cb n
lemma unfailing.of_fail [p.unfailing] (h : p cb n = fail n' err) : false :=
begin
obtain ⟨np, a, hp⟩ := p.exists_done cb n,
simpa [hp] using h
end
@[priority 100] -- see Note [lower instance priority]
instance conditionally_unfailing_of_unfailing [p.unfailing] : conditionally_unfailing p :=
⟨λ _ _ _, p.exists_done _ _⟩
lemma exists_done_in_bounds (p : parser α) [p.conditionally_unfailing] {cb : char_buffer} {n : ℕ}
(h : n < cb.size) : ∃ (n' : ℕ) (a : α), p cb n = done n' a :=
conditionally_unfailing.ex' h
lemma conditionally_unfailing.of_fail [p.conditionally_unfailing] (h : p cb n = fail n' err)
(hn : n < cb.size) : false :=
begin
obtain ⟨np, a, hp⟩ := p.exists_done_in_bounds hn,
simpa [hp] using h
end
lemma decorate_errors_fail (h : p cb n = fail n' err) :
@decorate_errors α msgs p cb n = fail n ((dlist.lazy_of_list (msgs ()))) :=
by simp [decorate_errors, h]
lemma decorate_errors_success (h : p cb n = done n' a) :
@decorate_errors α msgs p cb n = done n' a :=
by simp [decorate_errors, h]
lemma decorate_error_fail (h : p cb n = fail n' err) :
@decorate_error α msg p cb n = fail n ((dlist.lazy_of_list ([msg ()]))) :=
decorate_errors_fail h
lemma decorate_error_success (h : p cb n = done n' a) :
@decorate_error α msg p cb n = done n' a :=
decorate_errors_success h
@[simp] lemma decorate_errors_eq_done :
@decorate_errors α msgs p cb n = done n' a ↔ p cb n = done n' a :=
by cases h : p cb n; simp [decorate_errors, h]
@[simp] lemma decorate_error_eq_done :
@decorate_error α msg p cb n = done n' a ↔ p cb n = done n' a :=
decorate_errors_eq_done
@[simp] lemma decorate_errors_eq_fail :
@decorate_errors α msgs p cb n = fail n' err ↔
n = n' ∧ err = dlist.lazy_of_list (msgs ()) ∧ ∃ np err', p cb n = fail np err' :=
by cases h : p cb n; simp [decorate_errors, h, eq_comm]
@[simp] lemma decorate_error_eq_fail :
@decorate_error α msg p cb n = fail n' err ↔
n = n' ∧ err = dlist.lazy_of_list ([msg ()]) ∧ ∃ np err', p cb n = fail np err' :=
decorate_errors_eq_fail
@[simp] lemma return_eq_pure : (@return parser _ _ a) = pure a := rfl
lemma pure_eq_done : (@pure parser _ _ a) = λ _ n, done n a := rfl
@[simp] lemma pure_ne_fail : (pure a : parser α) cb n ≠ fail n' err := by simp [pure_eq_done]
section bind
variable (f : α → parser β)
@[simp] lemma bind_eq_bind : p.bind f = p >>= f := rfl
variable {f}
@[simp] lemma bind_eq_done :
(p >>= f) cb n = done n' b ↔
∃ (np : ℕ) (a : α), p cb n = done np a ∧ f a cb np = done n' b :=
by cases hp : p cb n; simp [hp, ←bind_eq_bind, parser.bind, and_assoc]
@[simp] lemma bind_eq_fail :
(p >>= f) cb n = fail n' err ↔
(p cb n = fail n' err) ∨ (∃ (np : ℕ) (a : α), p cb n = done np a ∧ f a cb np = fail n' err) :=
by cases hp : p cb n; simp [hp, ←bind_eq_bind, parser.bind, and_assoc]
@[simp] lemma and_then_eq_bind {α β : Type} {m : Type → Type} [monad m] (a : m α) (b : m β) :
a >> b = a >>= (λ _, b) := rfl
lemma and_then_fail :
(p >> return ()) cb n = parse_result.fail n' err ↔ p cb n = fail n' err :=
by simp [pure_eq_done]
lemma and_then_success :
(p >> return ()) cb n = parse_result.done n' () ↔ ∃ a, p cb n = done n' a:=
by simp [pure_eq_done]
end bind
section map
variable {f : α → β}
@[simp] lemma map_eq_done : (f <$> p) cb n = done n' b ↔
∃ (a : α), p cb n = done n' a ∧ f a = b :=
by cases hp : p cb n; simp [←is_lawful_monad.bind_pure_comp_eq_map, hp, and_assoc, pure_eq_done]
@[simp] lemma map_eq_fail : (f <$> p) cb n = fail n' err ↔ p cb n = fail n' err :=
by simp [←bind_pure_comp_eq_map, pure_eq_done]
@[simp] lemma map_const_eq_done {b'} : (b <$ p) cb n = done n' b' ↔
∃ (a : α), p cb n = done n' a ∧ b = b' :=
by simp [map_const_eq]
@[simp] lemma map_const_eq_fail : (b <$ p) cb n = fail n' err ↔ p cb n = fail n' err :=
by simp only [map_const_eq, map_eq_fail]
lemma map_const_rev_eq_done {b'} : (p $> b) cb n = done n' b' ↔
∃ (a : α), p cb n = done n' a ∧ b = b' :=
map_const_eq_done
lemma map_rev_const_eq_fail : (p $> b) cb n = fail n' err ↔ p cb n = fail n' err :=
map_const_eq_fail
end map
@[simp] lemma orelse_eq_orelse : p.orelse q = (p <|> q) := rfl
@[simp] lemma orelse_eq_done : (p <|> q) cb n = done n' a ↔
(p cb n = done n' a ∨ (q cb n = done n' a ∧ ∃ err, p cb n = fail n err)) :=
begin
cases hp : p cb n with np resp np errp,
{ simp [hp, ←orelse_eq_orelse, parser.orelse] },
{ by_cases hn : np = n,
{ cases hq : q cb n with nq resq nq errq,
{ simp [hp, hn, hq, ←orelse_eq_orelse, parser.orelse] },
{ rcases lt_trichotomy nq n with H|rfl|H;
simp [hp, hn, hq, H, not_lt_of_lt H, lt_irrefl, ←orelse_eq_orelse, parser.orelse] <|>
simp [hp, hn, hq, lt_irrefl, ←orelse_eq_orelse, parser.orelse] } },
{ simp [hp, hn, ←orelse_eq_orelse, parser.orelse] } }
end
@[simp] lemma orelse_eq_fail_eq : (p <|> q) cb n = fail n err ↔
(p cb n = fail n err ∧ ∃ (nq errq), n < nq ∧ q cb n = fail nq errq) ∨
(∃ (errp errq), p cb n = fail n errp ∧ q cb n = fail n errq ∧ errp ++ errq = err)
:=
begin
cases hp : p cb n with np resp np errp,
{ simp [hp, ←orelse_eq_orelse, parser.orelse] },
{ by_cases hn : np = n,
{ cases hq : q cb n with nq resq nq errq,
{ simp [hp, hn, hq, ←orelse_eq_orelse, parser.orelse] },
{ rcases lt_trichotomy nq n with H|rfl|H;
simp [hp, hq, hn, ←orelse_eq_orelse, parser.orelse, H,
ne_of_gt H, ne_of_lt H, not_lt_of_lt H] <|>
simp [hp, hq, hn, ←orelse_eq_orelse, parser.orelse, lt_irrefl] } },
{ simp [hp, hn, ←orelse_eq_orelse, parser.orelse] } }
end
lemma orelse_eq_fail_not_mono_lt (hn : n' < n) : (p <|> q) cb n = fail n' err ↔
(p cb n = fail n' err) ∨
(q cb n = fail n' err ∧ (∃ (errp), p cb n = fail n errp)) :=
begin
cases hp : p cb n with np resp np errp,
{ simp [hp, ←orelse_eq_orelse, parser.orelse] },
{ by_cases h : np = n,
{ cases hq : q cb n with nq resq nq errq,
{ simp [hp, h, hn, hq, ne_of_gt hn, ←orelse_eq_orelse, parser.orelse] },
{ rcases lt_trichotomy nq n with H|H|H,
{ simp [hp, hq, h, H, ne_of_gt hn, not_lt_of_lt H, ←orelse_eq_orelse, parser.orelse] },
{ simp [hp, hq, h, H, ne_of_gt hn, lt_irrefl, ←orelse_eq_orelse, parser.orelse] },
{ simp [hp, hq, h, H, ne_of_gt (hn.trans H), ←orelse_eq_orelse, parser.orelse] } } },
{ simp [hp, h, ←orelse_eq_orelse, parser.orelse] } }
end
lemma orelse_eq_fail_of_mono_ne [q.mono] (hn : n ≠ n') :
(p <|> q) cb n = fail n' err ↔ p cb n = fail n' err :=
begin
cases hp : p cb n with np resp np errp,
{ simp [hp, ←orelse_eq_orelse, parser.orelse] },
{ by_cases h : np = n,
{ cases hq : q cb n with nq resq nq errq,
{ simp [hp, h, hn, hq, hn, ←orelse_eq_orelse, parser.orelse] },
{ have : n ≤ nq := mono.of_fail hq,
rcases eq_or_lt_of_le this with rfl|H,
{ simp [hp, hq, h, hn, lt_irrefl, ←orelse_eq_orelse, parser.orelse] },
{ simp [hp, hq, h, hn, H, ←orelse_eq_orelse, parser.orelse] } } },
{ simp [hp, h, ←orelse_eq_orelse, parser.orelse] } },
end
@[simp] lemma failure_eq_failure : @parser.failure α = failure := rfl
@[simp] lemma failure_def : (failure : parser α) cb n = fail n dlist.empty := rfl
lemma not_failure_eq_done : ¬ (failure : parser α) cb n = done n' a :=
by simp
lemma failure_eq_fail : (failure : parser α) cb n = fail n' err ↔ n = n' ∧ err = dlist.empty :=
by simp [eq_comm]
lemma seq_eq_done {f : parser (α → β)} {p : parser α} : (f <*> p) cb n = done n' b ↔
∃ (nf : ℕ) (f' : α → β) (a : α), f cb n = done nf f' ∧ p cb nf = done n' a ∧ f' a = b :=
by simp [seq_eq_bind_map]
lemma seq_eq_fail {f : parser (α → β)} {p : parser α} : (f <*> p) cb n = fail n' err ↔
(f cb n = fail n' err) ∨ (∃ (nf : ℕ) (f' : α → β), f cb n = done nf f' ∧ p cb nf = fail n' err) :=
by simp [seq_eq_bind_map]
lemma seq_left_eq_done {p : parser α} {q : parser β} : (p <* q) cb n = done n' a ↔
∃ (np : ℕ) (b : β), p cb n = done np a ∧ q cb np = done n' b :=
begin
have : ∀ (p q : ℕ → α → Prop),
(∃ (np : ℕ) (x : α), p np x ∧ q np x ∧ x = a) ↔ ∃ (np : ℕ), p np a ∧ q np a :=
λ _ _, ⟨λ ⟨np, x, hp, hq, rfl⟩, ⟨np, hp, hq⟩, λ ⟨np, hp, hq⟩, ⟨np, a, hp, hq, rfl⟩⟩,
simp [seq_left_eq, seq_eq_done, map_eq_done, this]
end
lemma seq_left_eq_fail {p : parser α} {q : parser β} : (p <* q) cb n = fail n' err ↔
(p cb n = fail n' err) ∨ (∃ (np : ℕ) (a : α), p cb n = done np a ∧ q cb np = fail n' err) :=
by simp [seq_left_eq, seq_eq_fail]
lemma seq_right_eq_done {p : parser α} {q : parser β} : (p *> q) cb n = done n' b ↔
∃ (np : ℕ) (a : α), p cb n = done np a ∧ q cb np = done n' b :=
by simp [seq_right_eq, seq_eq_done, map_eq_done, and.comm, and.assoc]
lemma seq_right_eq_fail {p : parser α} {q : parser β} : (p *> q) cb n = fail n' err ↔
(p cb n = fail n' err) ∨ (∃ (np : ℕ) (a : α), p cb n = done np a ∧ q cb np = fail n' err) :=
by simp [seq_right_eq, seq_eq_fail]
lemma mmap_eq_done {f : α → parser β} {a : α} {l : list α} {b : β} {l' : list β} :
(a :: l).mmap f cb n = done n' (b :: l') ↔
∃ (np : ℕ), f a cb n = done np b ∧ l.mmap f cb np = done n' l' :=
by simp [mmap, and.comm, and.assoc, and.left_comm, pure_eq_done]
lemma mmap'_eq_done {f : α → parser β} {a : α} {l : list α} :
(a :: l).mmap' f cb n = done n' () ↔
∃ (np : ℕ) (b : β), f a cb n = done np b ∧ l.mmap' f cb np = done n' () :=
by simp [mmap']
lemma guard_eq_done {p : Prop} [decidable p] {u : unit} :
@guard parser _ p _ cb n = done n' u ↔ p ∧ n = n' :=
by { by_cases hp : p; simp [guard, hp, pure_eq_done] }
lemma guard_eq_fail {p : Prop} [decidable p] :
@guard parser _ p _ cb n = fail n' err ↔ (¬ p) ∧ n = n' ∧ err = dlist.empty :=
by { by_cases hp : p; simp [guard, hp, eq_comm, pure_eq_done] }
namespace mono
variables {sep : parser unit}
instance pure : mono (pure a) :=
⟨λ _ _, by simp [pure_eq_done]⟩
instance bind {f : α → parser β} [p.mono] [∀ a, (f a).mono] :
(p >>= f).mono :=
begin
constructor,
intros cb n,
cases hx : (p >>= f) cb n,
{ obtain ⟨n', a, h, h'⟩ := bind_eq_done.mp hx,
refine le_trans (of_done h) _,
simpa [h'] using of_done h' },
{ obtain h | ⟨n', a, h, h'⟩ := bind_eq_fail.mp hx,
{ simpa [h] using of_fail h },
{ refine le_trans (of_done h) _,
simpa [h'] using of_fail h' } }
end
instance and_then {q : parser β} [p.mono] [q.mono] : (p >> q).mono := mono.bind
instance map [p.mono] {f : α → β} : (f <$> p).mono := mono.bind
instance seq {f : parser (α → β)} [f.mono] [p.mono] : (f <*> p).mono := mono.bind
instance mmap : Π {l : list α} {f : α → parser β} [∀ a ∈ l, (f a).mono],
(l.mmap f).mono
| [] _ _ := mono.pure
| (a :: l) f h := begin
convert mono.bind,
{ exact h _ (list.mem_cons_self _ _) },
{ intro,
convert mono.map,
convert mmap,
exact (λ _ ha, h _ (list.mem_cons_of_mem _ ha)) }
end
instance mmap' : Π {l : list α} {f : α → parser β} [∀ a ∈ l, (f a).mono],
(l.mmap' f).mono
| [] _ _ := mono.pure
| (a :: l) f h := begin
convert mono.and_then,
{ exact h _ (list.mem_cons_self _ _) },
{ convert mmap',
exact (λ _ ha, h _ (list.mem_cons_of_mem _ ha)) }
end
instance failure : (failure : parser α).mono :=
⟨by simp [le_refl]⟩
instance guard {p : Prop} [decidable p] : mono (guard p) :=
⟨by { by_cases h : p; simp [h, pure_eq_done, le_refl] }⟩
instance orelse [p.mono] [q.mono] : (p <|> q).mono :=
begin
constructor,
intros cb n,
cases hx : (p <|> q) cb n with posx resx posx errx,
{ obtain h | ⟨h, -, -⟩ := orelse_eq_done.mp hx;
simpa [h] using of_done h },
{ by_cases h : n = posx,
{ simp [hx, h] },
{ simp only [orelse_eq_fail_of_mono_ne h] at hx,
exact of_fail hx } }
end
instance decorate_errors [p.mono] :
(@decorate_errors α msgs p).mono :=
begin
constructor,
intros cb n,
cases h : p cb n,
{ simpa [decorate_errors, h] using of_done h },
{ simp [decorate_errors, h] }
end
instance decorate_error [p.mono] : (@decorate_error α msg p).mono :=
mono.decorate_errors
instance any_char : mono any_char :=
begin
constructor,
intros cb n,
by_cases h : n < cb.size;
simp [any_char, h],
end
instance sat {p : char → Prop} [decidable_pred p] : mono (sat p) :=
begin
constructor,
intros cb n,
simp only [sat],
split_ifs;
simp
end
instance eps : mono eps := mono.pure
instance ch {c : char} : mono (ch c) := mono.decorate_error
instance char_buf {s : char_buffer} : mono (char_buf s) :=
mono.decorate_error
instance one_of {cs : list char} : (one_of cs).mono :=
mono.decorate_errors
instance one_of' {cs : list char} : (one_of' cs).mono :=
mono.and_then
instance str {s : string} : (str s).mono :=
mono.decorate_error
instance remaining : remaining.mono :=
⟨λ _ _, le_refl _⟩
instance eof : eof.mono :=
mono.decorate_error
instance foldr_core {f : α → β → β} {b : β} [p.mono] :
∀ {reps : ℕ}, (foldr_core f p b reps).mono
| 0 := mono.failure
| (reps + 1) := begin
convert mono.orelse,
{ convert mono.bind,
{ apply_instance },
{ exact λ _, @mono.bind _ _ _ _ foldr_core _ } },
{ exact mono.pure }
end
instance foldr {f : α → β → β} [p.mono] : mono (foldr f p b) :=
⟨λ _ _, by { convert mono.le (foldr_core f p b _) _ _, exact mono.foldr_core }⟩
instance foldl_core {f : α → β → α} {p : parser β} [p.mono] :
∀ {a : α} {reps : ℕ}, (foldl_core f a p reps).mono
| _ 0 := mono.failure
| _ (reps + 1) := begin
convert mono.orelse,
{ convert mono.bind,
{ apply_instance },
{ exact λ _, foldl_core } },
{ exact mono.pure }
end
instance foldl {f : α → β → α} {p : parser β} [p.mono] : mono (foldl f a p) :=
⟨λ _ _, by { convert mono.le (foldl_core f a p _) _ _, exact mono.foldl_core }⟩
instance many [p.mono] : p.many.mono :=
mono.foldr
instance many_char {p : parser char} [p.mono] : p.many_char.mono :=
mono.map
instance many' [p.mono] : p.many'.mono :=
mono.and_then
instance many1 [p.mono] : p.many1.mono :=
mono.seq
instance many_char1 {p : parser char} [p.mono] : p.many_char1.mono :=
mono.map
instance sep_by1 [p.mono] [sep.mono] : mono (sep_by1 sep p) :=
mono.seq
instance sep_by [p.mono] [hs : sep.mono] : mono (sep_by sep p) :=
mono.orelse
lemma fix_core {F : parser α → parser α} (hF : ∀ (p : parser α), p.mono → (F p).mono) :
∀ (max_depth : ℕ), mono (fix_core F max_depth)
| 0 := mono.failure
| (max_depth + 1) := hF _ (fix_core _)
instance digit : digit.mono :=
mono.decorate_error
instance nat : nat.mono :=
mono.decorate_error
lemma fix {F : parser α → parser α} (hF : ∀ (p : parser α), p.mono → (F p).mono) :
mono (fix F) :=
⟨λ _ _, by { convert mono.le (parser.fix_core F _) _ _, exact fix_core hF _ }⟩
end mono
@[simp] lemma orelse_pure_eq_fail : (p <|> pure a) cb n = fail n' err ↔
p cb n = fail n' err ∧ n ≠ n' :=
begin
by_cases hn : n = n',
{ simp [hn, pure_eq_done] },
{ simp [orelse_eq_fail_of_mono_ne, hn] }
end
end defn_lemmas
section done
variables {α β : Type} {cb : char_buffer} {n n' : ℕ} {a a' : α} {b : β} {c : char} {u : unit}
{err : dlist string}
lemma any_char_eq_done : any_char cb n = done n' c ↔
∃ (hn : n < cb.size), n' = n + 1 ∧ cb.read ⟨n, hn⟩ = c :=
begin
simp_rw [any_char],
split_ifs with h;
simp [h, eq_comm]
end
lemma any_char_eq_fail : any_char cb n = fail n' err ↔ n = n' ∧ err = dlist.empty ∧ cb.size ≤ n :=
begin
simp_rw [any_char],
split_ifs with h;
simp [←not_lt, h, eq_comm]
end
lemma sat_eq_done {p : char → Prop} [decidable_pred p] : sat p cb n = done n' c ↔
∃ (hn : n < cb.size), p c ∧ n' = n + 1 ∧ cb.read ⟨n, hn⟩ = c :=
begin
by_cases hn : n < cb.size,
{ by_cases hp : p (cb.read ⟨n, hn⟩),
{ simp only [sat, hn, hp, dif_pos, if_true, exists_prop_of_true],
split,
{ rintro ⟨rfl, rfl⟩, simp [hp] },
{ rintro ⟨-, rfl, rfl⟩, simp } },
{ simp only [sat, hn, hp, dif_pos, false_iff, not_and, exists_prop_of_true, if_false],
rintro H - rfl,
exact hp H } },
{ simp [sat, hn] }
end
lemma sat_eq_fail {p : char → Prop} [decidable_pred p] : sat p cb n = fail n' err ↔
n = n' ∧ err = dlist.empty ∧ ∀ (h : n < cb.size), ¬ p (cb.read ⟨n, h⟩) :=
begin
dsimp only [sat],
split_ifs;
simp [*, eq_comm]
end
lemma eps_eq_done : eps cb n = done n' u ↔ n = n' := by simp [eps, pure_eq_done]
lemma ch_eq_done : ch c cb n = done n' u ↔ ∃ (hn : n < cb.size), n' = n + 1 ∧ cb.read ⟨n, hn⟩ = c :=
by simp [ch, eps_eq_done, sat_eq_done, and.comm, @eq_comm _ n']
lemma char_buf_eq_done {cb' : char_buffer} : char_buf cb' cb n = done n' u ↔
n + cb'.size = n' ∧ cb'.to_list <+: (cb.to_list.drop n) :=
begin
simp only [char_buf, decorate_error_eq_done, ne.def, ←buffer.length_to_list],
induction cb'.to_list with hd tl hl generalizing cb n n',
{ simp [pure_eq_done, mmap'_eq_done, -buffer.length_to_list, list.nil_prefix] },
{ simp only [ch_eq_done, and.comm, and.assoc, and.left_comm, hl, mmap', and_then_eq_bind,
bind_eq_done, list.length, exists_and_distrib_left, exists_const],
split,
{ rintro ⟨np, h, rfl, rfl, hn, rfl⟩,
simp only [add_comm, add_left_comm, h, true_and, eq_self_iff_true, and_true],
have : n < cb.to_list.length := by simpa using hn,
rwa [←buffer.nth_le_to_list _ this, ←list.cons_nth_le_drop_succ this, list.prefix_cons_inj] },
{ rintro ⟨h, rfl⟩,
by_cases hn : n < cb.size,
{ have : n < cb.to_list.length := by simpa using hn,
rw [←list.cons_nth_le_drop_succ this, list.cons_prefix_iff] at h,
use [n + 1, h.right],
simpa [buffer.nth_le_to_list, add_comm, add_left_comm, add_assoc, hn] using h.left.symm },
{ have : cb.to_list.length ≤ n := by simpa using hn,
rw list.drop_eq_nil_of_le this at h,
simpa using h } } }
end
lemma one_of_eq_done {cs : list char} : one_of cs cb n = done n' c ↔
∃ (hn : n < cb.size), c ∈ cs ∧ n' = n + 1 ∧ cb.read ⟨n, hn⟩ = c :=
by simp [one_of, sat_eq_done]
lemma one_of'_eq_done {cs : list char} : one_of' cs cb n = done n' u ↔
∃ (hn : n < cb.size), cb.read ⟨n, hn⟩ ∈ cs ∧ n' = n + 1 :=
begin
simp only [one_of', one_of_eq_done, eps_eq_done, and.comm, and_then_eq_bind, bind_eq_done,
exists_eq_left, exists_and_distrib_left],
split,
{ rintro ⟨c, hc, rfl, hn, rfl⟩,
exact ⟨rfl, hn, hc⟩ },
{ rintro ⟨rfl, hn, hc⟩,
exact ⟨cb.read ⟨n, hn⟩, hc, rfl, hn, rfl⟩ }
end
lemma str_eq_char_buf (s : string) : str s = char_buf s.to_list.to_buffer :=
begin
ext cb n,
rw [str, char_buf],
congr,
{ simp [buffer.to_string, string.as_string_inv_to_list] },
{ simp }
end
lemma str_eq_done {s : string} : str s cb n = done n' u ↔
n + s.length = n' ∧ s.to_list <+: (cb.to_list.drop n) :=
by simp [str_eq_char_buf, char_buf_eq_done]
lemma remaining_eq_done {r : ℕ} : remaining cb n = done n' r ↔ n = n' ∧ cb.size - n = r :=
by simp [remaining]
lemma remaining_ne_fail : remaining cb n ≠ fail n' err :=
by simp [remaining]
lemma eof_eq_done {u : unit} : eof cb n = done n' u ↔ n = n' ∧ cb.size ≤ n :=
by simp [eof, guard_eq_done, remaining_eq_done, nat.sub_eq_zero_iff_le, and_comm, and_assoc]
@[simp] lemma foldr_core_zero_eq_done {f : α → β → β} {p : parser α} {b' : β} :
foldr_core f p b 0 cb n ≠ done n' b' :=
by simp [foldr_core]
lemma foldr_core_eq_done {f : α → β → β} {p : parser α} {reps : ℕ} {b' : β} :
foldr_core f p b (reps + 1) cb n = done n' b' ↔
(∃ (np : ℕ) (a : α) (xs : β), p cb n = done np a ∧ foldr_core f p b reps cb np = done n' xs
∧ f a xs = b') ∨
(n = n' ∧ b = b' ∧ ∃ (err), (p cb n = fail n err) ∨
(∃ (np : ℕ) (a : α), p cb n = done np a ∧ foldr_core f p b reps cb np = fail n err)) :=
by simp [foldr_core, and.comm, and.assoc, pure_eq_done]
@[simp] lemma foldr_core_zero_eq_fail {f : α → β → β} {p : parser α} {err : dlist string} :
foldr_core f p b 0 cb n = fail n' err ↔ n = n' ∧ err = dlist.empty :=
by simp [foldr_core, eq_comm]
lemma foldr_core_succ_eq_fail {f : α → β → β} {p : parser α} {reps : ℕ} {err : dlist string} :
foldr_core f p b (reps + 1) cb n = fail n' err ↔ n ≠ n' ∧
(p cb n = fail n' err ∨
∃ (np : ℕ) (a : α), p cb n = done np a ∧ foldr_core f p b reps cb np = fail n' err) :=
by simp [foldr_core, and_comm]
lemma foldr_eq_done {f : α → β → β} {p : parser α} {b' : β} :
foldr f p b cb n = done n' b' ↔
((∃ (np : ℕ) (a : α) (x : β), p cb n = done np a ∧
foldr_core f p b (cb.size - n) cb np = done n' x ∧ f a x = b') ∨
(n = n' ∧ b = b' ∧ (∃ (err), p cb n = parse_result.fail n err ∨
∃ (np : ℕ) (x : α), p cb n = done np x ∧ foldr_core f p b (cb.size - n) cb np = fail n err))) :=
by simp [foldr, foldr_core_eq_done]
lemma foldr_eq_fail_iff_mono_at_end {f : α → β → β} {p : parser α} {err : dlist string}
[p.mono] (hc : cb.size ≤ n) : foldr f p b cb n = fail n' err ↔
n < n' ∧ (p cb n = fail n' err ∨ ∃ (a : α), p cb n = done n' a ∧ err = dlist.empty) :=
begin
have : cb.size - n = 0 := nat.sub_eq_zero_of_le hc,
simp only [foldr, foldr_core_succ_eq_fail, this, and.left_comm, foldr_core_zero_eq_fail,
ne_iff_lt_iff_le, exists_and_distrib_right, exists_eq_left, and.congr_left_iff,
exists_and_distrib_left],
rintro (h | ⟨⟨a, h⟩, rfl⟩),
{ exact mono.of_fail h },
{ exact mono.of_done h }
end
lemma foldr_eq_fail {f : α → β → β} {p : parser α} {err : dlist string} :
foldr f p b cb n = fail n' err ↔ n ≠ n' ∧ (p cb n = fail n' err ∨
∃ (np : ℕ) (a : α), p cb n = done np a ∧ foldr_core f p b (cb.size - n) cb np = fail n' err) :=
by simp [foldr, foldr_core_succ_eq_fail]
@[simp] lemma foldl_core_zero_eq_done {f : β → α → β} {p : parser α} {b' : β} :
foldl_core f b p 0 cb n = done n' b' ↔ false :=
by simp [foldl_core]
lemma foldl_core_eq_done {f : β → α → β} {p : parser α} {reps : ℕ} {b' : β} :
foldl_core f b p (reps + 1) cb n = done n' b' ↔
(∃ (np : ℕ) (a : α), p cb n = done np a ∧ foldl_core f (f b a) p reps cb np = done n' b') ∨
(n = n' ∧ b = b' ∧ ∃ (err), (p cb n = fail n err) ∨
(∃ (np : ℕ) (a : α), p cb n = done np a ∧ foldl_core f (f b a) p reps cb np = fail n err)) :=
by simp [foldl_core, and.assoc, pure_eq_done]
@[simp] lemma foldl_core_zero_eq_fail {f : β → α → β} {p : parser α} {err : dlist string} :
foldl_core f b p 0 cb n = fail n' err ↔ n = n' ∧ err = dlist.empty :=
by simp [foldl_core, eq_comm]
lemma foldl_core_succ_eq_fail {f : β → α → β} {p : parser α} {reps : ℕ} {err : dlist string} :
foldl_core f b p (reps + 1) cb n = fail n' err ↔ n ≠ n' ∧
(p cb n = fail n' err ∨
∃ (np : ℕ) (a : α), p cb n = done np a ∧ foldl_core f (f b a) p reps cb np = fail n' err) :=
by simp [foldl_core, and_comm]
lemma foldl_eq_done {f : β → α → β} {p : parser α} {b' : β} :
foldl f b p cb n = done n' b' ↔
(∃ (np : ℕ) (a : α), p cb n = done np a ∧
foldl_core f (f b a) p (cb.size - n) cb np = done n' b') ∨
(n = n' ∧ b = b' ∧ ∃ (err), (p cb n = fail n err) ∨
(∃ (np : ℕ) (a : α), p cb n = done np a ∧
foldl_core f (f b a) p (cb.size - n) cb np = fail n err)) :=
by simp [foldl, foldl_core_eq_done]
lemma foldl_eq_fail {f : β → α → β} {p : parser α} {err : dlist string} :
foldl f b p cb n = fail n' err ↔ n ≠ n' ∧ (p cb n = fail n' err ∨
∃ (np : ℕ) (a : α), p cb n = done np a ∧
foldl_core f (f b a) p (cb.size - n) cb np = fail n' err) :=
by simp [foldl, foldl_core_succ_eq_fail]
lemma foldl_eq_fail_iff_mono_at_end {f : β → α → β} {p : parser α} {err : dlist string}
[p.mono] (hc : cb.size ≤ n) : foldl f b p cb n = fail n' err ↔
n < n' ∧ (p cb n = fail n' err ∨ ∃ (a : α), p cb n = done n' a ∧ err = dlist.empty) :=
begin
have : cb.size - n = 0 := nat.sub_eq_zero_of_le hc,
simp only [foldl, foldl_core_succ_eq_fail, this, and.left_comm, ne_iff_lt_iff_le, exists_eq_left,
exists_and_distrib_right, and.congr_left_iff, exists_and_distrib_left,
foldl_core_zero_eq_fail],
rintro (h | ⟨⟨a, h⟩, rfl⟩),
{ exact mono.of_fail h },
{ exact mono.of_done h }
end
lemma many_eq_done_nil {p : parser α} : many p cb n = done n' (@list.nil α) ↔ n = n' ∧
∃ (err), p cb n = fail n err ∨ ∃ (np : ℕ) (a : α), p cb n = done np a ∧
foldr_core list.cons p [] (cb.size - n) cb np = fail n err :=
by simp [many, foldr_eq_done]
lemma many_eq_done {p : parser α} {x : α} {xs : list α} :
many p cb n = done n' (x :: xs) ↔ ∃ (np : ℕ), p cb n = done np x
∧ foldr_core list.cons p [] (cb.size - n) cb np = done n' xs :=
by simp [many, foldr_eq_done, and.comm, and.assoc, and.left_comm]
lemma many_eq_fail {p : parser α} {err : dlist string} :
many p cb n = fail n' err ↔ n ≠ n' ∧ (p cb n = fail n' err ∨
∃ (np : ℕ) (a : α), p cb n = done np a ∧
foldr_core list.cons p [] (cb.size - n) cb np = fail n' err) :=
by simp [many, foldr_eq_fail]
lemma many_char_eq_done_empty {p : parser char} : many_char p cb n = done n' string.empty ↔ n = n' ∧
∃ (err), p cb n = fail n err ∨ ∃ (np : ℕ) (c : char), p cb n = done np c ∧
foldr_core list.cons p [] (cb.size - n) cb np = fail n err :=
by simp [many_char, many_eq_done_nil, map_eq_done, list.as_string_eq]
lemma many_char_eq_done_not_empty {p : parser char} {s : string} (h : s ≠ "") :
many_char p cb n = done n' s ↔ ∃ (np : ℕ), p cb n = done np s.head ∧
foldr_core list.cons p list.nil (buffer.size cb - n) cb np = done n' (s.popn 1).to_list :=
by simp [many_char, list.as_string_eq, string.to_list_nonempty h, many_eq_done]
lemma many_char_eq_many_of_to_list {p : parser char} {s : string} :
many_char p cb n = done n' s ↔ many p cb n = done n' s.to_list :=
by simp [many_char, list.as_string_eq]
lemma many'_eq_done {p : parser α} : many' p cb n = done n' u ↔
many p cb n = done n' [] ∨ ∃ (np : ℕ) (a : α) (l : list α), many p cb n = done n' (a :: l)
∧ p cb n = done np a ∧ foldr_core list.cons p [] (buffer.size cb - n) cb np = done n' l :=
begin
simp only [many', eps_eq_done, many, foldr, and_then_eq_bind, exists_and_distrib_right,
bind_eq_done, exists_eq_right],
split,
{ rintro ⟨_ | ⟨hd, tl⟩, hl⟩,
{ exact or.inl hl },
{ have hl2 := hl,
simp only [foldr_core_eq_done, or_false, exists_and_distrib_left, and_false, false_and,
exists_eq_right_right] at hl,
obtain ⟨np, hp, h⟩ := hl,
refine or.inr ⟨np, _, _, hl2, hp, h⟩ } },
{ rintro (h | ⟨np, a, l, hp, h⟩),
{ exact ⟨[], h⟩ },
{ refine ⟨a :: l, hp⟩ } }
end
@[simp] lemma many1_ne_done_nil {p : parser α} : many1 p cb n ≠ done n' [] :=
by simp [many1, seq_eq_done]
lemma many1_eq_done {p : parser α} {l : list α} : many1 p cb n = done n' (a :: l) ↔
∃ (np : ℕ), p cb n = done np a ∧ many p cb np = done n' l :=
by simp [many1, seq_eq_done, map_eq_done]
lemma many1_eq_fail {p : parser α} {err : dlist string} : many1 p cb n = fail n' err ↔
p cb n = fail n' err ∨ (∃ (np : ℕ) (a : α), p cb n = done np a ∧ many p cb np = fail n' err) :=
by simp [many1, seq_eq_fail]
@[simp] lemma many_char1_ne_empty {p : parser char} : many_char1 p cb n ≠ done n' "" :=
by simp [many_char1, ←string.nil_as_string_eq_empty]
lemma many_char1_eq_done {p : parser char} {s : string} (h : s ≠ "") :
many_char1 p cb n = done n' s ↔
∃ (np : ℕ), p cb n = done np s.head ∧ many_char p cb np = done n' (s.popn 1) :=
by simp [many_char1, list.as_string_eq, string.to_list_nonempty h, many1_eq_done,
many_char_eq_many_of_to_list]
@[simp] lemma sep_by1_ne_done_nil {sep : parser unit} {p : parser α} :
sep_by1 sep p cb n ≠ done n' [] :=
by simp [sep_by1, seq_eq_done]
lemma sep_by1_eq_done {sep : parser unit} {p : parser α} {l : list α} :
sep_by1 sep p cb n = done n' (a :: l) ↔ ∃ (np : ℕ), p cb n = done np a ∧
(sep >> p).many cb np = done n' l :=
by simp [sep_by1, seq_eq_done]
lemma sep_by_eq_done_nil {sep : parser unit} {p : parser α} :
sep_by sep p cb n = done n' [] ↔ n = n' ∧ ∃ (err), sep_by1 sep p cb n = fail n err :=
by simp [sep_by, pure_eq_done]
@[simp] lemma fix_core_ne_done_zero {F : parser α → parser α} :
fix_core F 0 cb n ≠ done n' a :=
by simp [fix_core]
lemma fix_core_eq_done {F : parser α → parser α} {max_depth : ℕ} :
fix_core F (max_depth + 1) cb n = done n' a ↔ F (fix_core F max_depth) cb n = done n' a :=
by simp [fix_core]
lemma digit_eq_done {k : ℕ} : digit cb n = done n' k ↔ ∃ (hn : n < cb.size), n' = n + 1 ∧ k ≤ 9 ∧
(cb.read ⟨n, hn⟩).to_nat - '0'.to_nat = k ∧ '0' ≤ cb.read ⟨n, hn⟩ ∧ cb.read ⟨n, hn⟩ ≤ '9' :=
begin
have c9 : '9'.to_nat - '0'.to_nat = 9 := rfl,
have l09 : '0'.to_nat ≤ '9'.to_nat := dec_trivial,
have le_iff_le : ∀ {c c' : char}, c ≤ c' ↔ c.to_nat ≤ c'.to_nat := λ _ _, iff.rfl,
split,
{ simp only [digit, sat_eq_done, pure_eq_done, decorate_error_eq_done, bind_eq_done, ←c9],
rintro ⟨np, c, ⟨hn, ⟨ge0, le9⟩, rfl, rfl⟩, rfl, rfl⟩,
simpa [hn, ge0, le9, true_and, and_true, eq_self_iff_true, exists_prop_of_true,
nat.sub_le_sub_right_iff, l09] using (le_iff_le.mp le9) },
{ simp only [digit, sat_eq_done, pure_eq_done, decorate_error_eq_done, bind_eq_done, ←c9,
le_iff_le],
rintro ⟨hn, rfl, -, rfl, ge0, le9⟩,
use [n + 1, cb.read ⟨n, hn⟩],
simp [hn, ge0, le9] }
end
lemma digit_eq_fail : digit cb n = fail n' err ↔ n = n' ∧ err = dlist.of_list ["<digit>"] ∧
∀ (h : n < cb.size), ¬ ((λ c, '0' ≤ c ∧ c ≤ '9') (cb.read ⟨n, h⟩)) :=
by simp [digit, sat_eq_fail]
end done
namespace static
variables {α β : Type} {p q : parser α} {msgs : thunk (list string)} {msg : thunk string}
{cb : char_buffer} {n' n : ℕ} {err : dlist string} {a : α} {b : β} {sep : parser unit}
lemma not_of_ne (h : p cb n = done n' a) (hne : n ≠ n') : ¬ static p :=
by { introI, exact hne (of_done h) }
instance pure : static (pure a) :=
⟨λ _ _ _ _, by { simp_rw pure_eq_done, rw [and.comm], simp }⟩
instance bind {f : α → parser β} [p.static] [∀ a, (f a).static] :
(p >>= f).static :=
⟨λ _ _ _ _, by { rw bind_eq_done, rintro ⟨_, _, hp, hf⟩, exact trans (of_done hp) (of_done hf) }⟩
instance and_then {q : parser β} [p.static] [q.static] : (p >> q).static := static.bind
instance map [p.static] {f : α → β} : (f <$> p).static :=
⟨λ _ _ _ _, by { simp_rw map_eq_done, rintro ⟨_, hp, _⟩, exact of_done hp }⟩
instance seq {f : parser (α → β)} [f.static] [p.static] : (f <*> p).static := static.bind
instance mmap : Π {l : list α} {f : α → parser β} [∀ a, (f a).static], (l.mmap f).static
| [] _ _ := static.pure
| (a :: l) _ h := begin
convert static.bind,
{ exact h _ },
{ intro,
convert static.bind,
{ convert mmap,
exact h },
{ exact λ _, static.pure } }
end
instance mmap' : Π {l : list α} {f : α → parser β} [∀ a, (f a).static], (l.mmap' f).static
| [] _ _ := static.pure
| (a :: l) _ h := begin
convert static.and_then,
{ exact h _ },
{ convert mmap',
exact h }
end
instance failure : @parser.static α failure :=
⟨λ _ _ _ _, by simp⟩
instance guard {p : Prop} [decidable p] : static (guard p) :=
⟨λ _ _ _ _, by simp [guard_eq_done]⟩
instance orelse [p.static] [q.static] : (p <|> q).static :=
⟨λ _ _ _ _, by { simp_rw orelse_eq_done, rintro (h | ⟨h, -⟩); exact of_done h }⟩
instance decorate_errors [p.static] :
(@decorate_errors α msgs p).static :=
⟨λ _ _ _ _, by { rw decorate_errors_eq_done, exact of_done }⟩
instance decorate_error [p.static] : (@decorate_error α msg p).static :=
static.decorate_errors
lemma any_char : ¬ static any_char :=
begin
have : any_char "s".to_char_buffer 0 = done 1 's',
{ have : 0 < "s".to_char_buffer.size := dec_trivial,
simpa [any_char_eq_done, this] },
exact not_of_ne this zero_ne_one
end
lemma sat_iff {p : char → Prop} [decidable_pred p] : static (sat p) ↔ ∀ c, ¬ p c :=
begin
split,
{ introI,
intros c hc,
have : sat p [c].to_buffer 0 = done 1 c := by simp [sat_eq_done, hc],
exact zero_ne_one (of_done this) },
{ contrapose!,
simp only [iff, sat_eq_done, and_imp, exists_prop, exists_and_distrib_right,
exists_and_distrib_left, exists_imp_distrib, not_forall],
rintros _ _ _ a h hne rfl hp -,
exact ⟨a, hp⟩ }
end
instance sat : static (sat (λ _, false)) :=
by { apply sat_iff.mpr, simp }
instance eps : static eps := static.pure
lemma ch (c : char) : ¬ static (ch c) :=
begin
have : ch c [c].to_buffer 0 = done 1 (),
{ have : 0 < [c].to_buffer.size := dec_trivial,
simp [ch_eq_done, this] },
exact not_of_ne this zero_ne_one
end
lemma char_buf_iff {cb' : char_buffer} : static (char_buf cb') ↔ cb' = buffer.nil :=
begin
rw ←buffer.size_eq_zero_iff,
have : char_buf cb' cb' 0 = done cb'.size () := by simp [char_buf_eq_done],
cases hc : cb'.size with n,
{ simp only [eq_self_iff_true, iff_true],
exact ⟨λ _ _ _ _ h, by simpa [hc] using (char_buf_eq_done.mp h).left⟩ },
{ rw hc at this,
simpa [nat.succ_ne_zero] using not_of_ne this (nat.succ_ne_zero n).symm }
end
lemma one_of_iff {cs : list char} : static (one_of cs) ↔ cs = [] :=
begin
cases cs with hd tl,
{ simp [one_of, static.decorate_errors] },
{ have : one_of (hd :: tl) (hd :: tl).to_buffer 0 = done 1 hd,
{ simp [one_of_eq_done] },
simpa using not_of_ne this zero_ne_one }
end
instance one_of : static (one_of []) :=
by { apply one_of_iff.mpr, refl }
lemma one_of'_iff {cs : list char} : static (one_of' cs) ↔ cs = [] :=
begin
cases cs with hd tl,
{ simp [one_of', static.bind], },
{ have : one_of' (hd :: tl) (hd :: tl).to_buffer 0 = done 1 (),
{ simp [one_of'_eq_done] },
simpa using not_of_ne this zero_ne_one }
end
instance one_of' : static (one_of []) :=
by { apply one_of_iff.mpr, refl }
lemma str_iff {s : string} : static (str s) ↔ s = "" :=
by simp [str_eq_char_buf, char_buf_iff, ←string.to_list_inj, buffer.ext_iff]
instance remaining : remaining.static :=
⟨λ _ _ _ _ h, (remaining_eq_done.mp h).left⟩
instance eof : eof.static :=
static.decorate_error
instance foldr_core {f : α → β → β} [p.static] :
∀ {b : β} {reps : ℕ}, (foldr_core f p b reps).static
| _ 0 := static.failure
| _ (reps + 1) := begin
simp_rw parser.foldr_core,
convert static.orelse,
{ convert static.bind,
{ apply_instance },
{ intro,
convert static.bind,
{ exact foldr_core },
{ apply_instance } } },
{ exact static.pure }
end
instance foldr {f : α → β → β} [p.static] : static (foldr f p b) :=
⟨λ _ _ _ _, by { dsimp [foldr], exact of_done }⟩
instance foldl_core {f : α → β → α} {p : parser β} [p.static] :
∀ {a : α} {reps : ℕ}, (foldl_core f a p reps).static
| _ 0 := static.failure
| _ (reps + 1) := begin
convert static.orelse,
{ convert static.bind,
{ apply_instance },
{ exact λ _, foldl_core } },
{ exact static.pure }
end
instance foldl {f : α → β → α} {p : parser β} [p.static] : static (foldl f a p) :=
⟨λ _ _ _ _, by { dsimp [foldl], exact of_done }⟩
instance many [p.static] : p.many.static :=
static.foldr
instance many_char {p : parser char} [p.static] : p.many_char.static :=
static.map
instance many' [p.static] : p.many'.static :=
static.and_then
instance many1 [p.static] : p.many1.static :=
static.seq
instance many_char1 {p : parser char} [p.static] : p.many_char1.static :=
static.map
instance sep_by1 [p.static] [sep.static] : static (sep_by1 sep p) :=
static.seq
instance sep_by [p.static] [sep.static] : static (sep_by sep p) :=
static.orelse
lemma fix_core {F : parser α → parser α} (hF : ∀ (p : parser α), p.static → (F p).static) :
∀ (max_depth : ℕ), static (fix_core F max_depth)
| 0 := static.failure
| (max_depth + 1) := hF _ (fix_core _)
lemma digit : ¬ digit.static :=
begin
have : digit "1".to_char_buffer 0 = done 1 1,
{ have : 0 < "s".to_char_buffer.size := dec_trivial,
simpa [this] },
exact not_of_ne this zero_ne_one
end
lemma nat : ¬ nat.static :=
begin
have : nat "1".to_char_buffer 0 = done 1 1,
{ have : 0 < "s".to_char_buffer.size := dec_trivial,
simpa [this] },
exact not_of_ne this zero_ne_one
end
lemma fix {F : parser α → parser α} (hF : ∀ (p : parser α), p.static → (F p).static) :
static (fix F) :=
⟨λ cb n _ _ h,
by { haveI := fix_core hF (cb.size - n + 1), dsimp [fix] at h, exact static.of_done h }⟩
end static
namespace bounded
variables {α β : Type} {msgs : thunk (list string)} {msg : thunk string}
variables {p q : parser α} {cb : char_buffer} {n n' : ℕ} {err : dlist string}
variables {a : α} {b : β}
lemma done_of_unbounded (h : ¬p.bounded) : ∃ (cb : char_buffer) (n n' : ℕ) (a : α),
p cb n = done n' a ∧ cb.size ≤ n :=
begin
contrapose! h,
constructor,
intros cb n hn,
cases hp : p cb n,
{ exact absurd hn (h _ _ _ _ hp).not_le },
{ simp [hp] }
end
lemma pure : ¬ bounded (pure a) :=
begin
introI,
have : (pure a : parser α) buffer.nil 0 = done 0 a := by simp [pure_eq_done],
exact absurd (bounded.of_done this) (lt_irrefl _)
end
instance bind {f : α → parser β} [p.bounded] :
(p >>= f).bounded :=
begin
constructor,
intros cb n hn,
obtain ⟨_, _, hp⟩ := bounded.exists p hn,
simp [hp]
end
instance and_then {q : parser β} [p.bounded] : (p >> q).bounded :=
bounded.bind
instance map [p.bounded] {f : α → β} : (f <$> p).bounded :=
bounded.bind
instance seq {f : parser (α → β)} [f.bounded] : (f <*> p).bounded :=
bounded.bind
instance mmap {a : α} {l : list α} {f : α → parser β} [∀ a, (f a).bounded] :
((a :: l).mmap f).bounded :=
bounded.bind
instance mmap' {a : α} {l : list α} {f : α → parser β} [∀ a, (f a).bounded] :
((a :: l).mmap' f).bounded :=
bounded.and_then
instance failure : @parser.bounded α failure :=
⟨by simp⟩
lemma guard_iff {p : Prop} [decidable p] : bounded (guard p) ↔ ¬ p :=
by simpa [guard, apply_ite bounded, pure, failure] using λ _, bounded.failure
instance orelse [p.bounded] [q.bounded] : (p <|> q).bounded :=
begin
constructor,
intros cb n hn,
cases hx : (p <|> q) cb n with posx resx posx errx,
{ obtain h | ⟨h, -, -⟩ := orelse_eq_done.mp hx;
exact absurd hn (of_done h).not_le },
{ simp }
end
instance decorate_errors [p.bounded] :
(@decorate_errors α msgs p).bounded :=
begin
constructor,
intros _ _,
simpa using bounded.exists p
end
lemma decorate_errors_iff : (@parser.decorate_errors α msgs p).bounded ↔ p.bounded :=
begin
split,
{ introI,
constructor,
intros _ _ hn,
obtain ⟨_, _, h⟩ := bounded.exists (@parser.decorate_errors α msgs p) hn,
simp [decorate_errors_eq_fail] at h,
exact h.right.right },
{ introI,
constructor,
intros _ _ hn,
obtain ⟨_, _, h⟩ := bounded.exists p hn,
simp [h] }
end
instance decorate_error [p.bounded] : (@decorate_error α msg p).bounded :=
bounded.decorate_errors
lemma decorate_error_iff : (@parser.decorate_error α msg p).bounded ↔ p.bounded :=
decorate_errors_iff
instance any_char : bounded any_char :=
⟨λ cb n hn, by simp [any_char, hn]⟩
instance sat {p : char → Prop} [decidable_pred p] : bounded (sat p) :=
⟨λ cb n hn, by simp [sat, hn]⟩
lemma eps : ¬ bounded eps := pure
instance ch {c : char} : bounded (ch c) :=
bounded.decorate_error
lemma char_buf_iff {cb' : char_buffer} : bounded (char_buf cb') ↔ cb' ≠ buffer.nil :=
begin
have : cb' ≠ buffer.nil ↔ cb'.to_list ≠ [] :=
not_iff_not_of_iff ⟨λ h, by simp [h], λ h, by simpa using congr_arg list.to_buffer h⟩,
rw [char_buf, decorate_error_iff, this],
cases cb'.to_list,
{ simp [pure, ch] },
{ simp only [iff_true, ne.def, not_false_iff],
apply_instance }
end
instance one_of {cs : list char} : (one_of cs).bounded :=
bounded.decorate_errors
instance one_of' {cs : list char} : (one_of' cs).bounded :=
bounded.and_then
lemma str_iff {s : string} : (str s).bounded ↔ s ≠ "" :=
begin
rw [str, decorate_error_iff],
cases hs : s.to_list,
{ have : s = "",
{ cases s, rw [string.to_list] at hs, simpa [hs] },
simp [pure, this] },
{ have : s ≠ "",
{ intro H, simpa [H] using hs },
simp only [this, iff_true, ne.def, not_false_iff],
apply_instance }
end
lemma remaining : ¬ remaining.bounded :=
begin
introI,
have : remaining buffer.nil 0 = done 0 0 := by simp [remaining_eq_done],
exact absurd (bounded.of_done this) (lt_irrefl _)
end
lemma eof : ¬ eof.bounded :=
begin
introI,
have : eof buffer.nil 0 = done 0 () := by simp [eof_eq_done],
exact absurd (bounded.of_done this) (lt_irrefl _)
end
section fold
instance foldr_core_zero {f : α → β → β} : (foldr_core f p b 0).bounded :=
bounded.failure
instance foldl_core_zero {f : β → α → β} {b : β} : (foldl_core f b p 0).bounded :=
bounded.failure
variables {reps : ℕ} [hpb : p.bounded] (he : ∀ cb n n' err, p cb n = fail n' err → n ≠ n')
include hpb he
lemma foldr_core {f : α → β → β} : (foldr_core f p b reps).bounded :=
begin
cases reps,
{ exact bounded.foldr_core_zero },
constructor,
intros cb n hn,
obtain ⟨np, errp, hp⟩ := bounded.exists p hn,
simpa [foldr_core_succ_eq_fail, hp] using he cb n np errp,
end
lemma foldr {f : α → β → β} : bounded (foldr f p b) :=
begin
constructor,
intros cb n hn,
haveI : (parser.foldr_core f p b (cb.size - n + 1)).bounded := foldr_core he,
obtain ⟨np, errp, hp⟩ := bounded.exists (parser.foldr_core f p b (cb.size - n + 1)) hn,
simp [foldr, hp]
end
lemma foldl_core {f : β → α → β} :
(foldl_core f b p reps).bounded :=
begin
cases reps,
{ exact bounded.foldl_core_zero },
constructor,
intros cb n hn,
obtain ⟨np, errp, hp⟩ := bounded.exists p hn,
simpa [foldl_core_succ_eq_fail, hp] using he cb n np errp,
end
lemma foldl {f : β → α → β} : bounded (foldl f b p) :=
begin
constructor,
intros cb n hn,
haveI : (parser.foldl_core f b p (cb.size - n + 1)).bounded := foldl_core he,
obtain ⟨np, errp, hp⟩ := bounded.exists (parser.foldl_core f b p (cb.size - n + 1)) hn,
simp [foldl, hp]
end
lemma many : p.many.bounded :=
foldr he
omit hpb
lemma many_char {pc : parser char} [pc.bounded]
(he : ∀ cb n n' err, pc cb n = fail n' err → n ≠ n'): pc.many_char.bounded :=
by { convert bounded.map, exact many he }
include hpb
lemma many' : p.many'.bounded :=
by { convert bounded.and_then, exact many he }
end fold
instance many1 [p.bounded] : p.many1.bounded :=
bounded.seq
instance many_char1 {p : parser char} [p.bounded] : p.many_char1.bounded :=
bounded.map
instance sep_by1 {sep : parser unit} [p.bounded] : bounded (sep_by1 sep p) :=
bounded.seq
lemma fix_core {F : parser α → parser α} (hF : ∀ (p : parser α), p.bounded → (F p).bounded) :
∀ (max_depth : ℕ), bounded (fix_core F max_depth)
| 0 := bounded.failure
| (max_depth + 1) := hF _ (fix_core _)
instance digit : digit.bounded :=
bounded.decorate_error
instance nat : nat.bounded :=
bounded.decorate_error
lemma fix {F : parser α → parser α} (hF : ∀ (p : parser α), p.bounded → (F p).bounded) :
bounded (fix F) :=
begin
constructor,
intros cb n hn,
haveI : (parser.fix_core F (cb.size - n + 1)).bounded := fix_core hF _,
obtain ⟨np, errp, hp⟩ := bounded.exists (parser.fix_core F (cb.size - n + 1)) hn,
simp [fix, hp]
end
end bounded
namespace unfailing
variables {α β : Type} {p q : parser α} {msgs : thunk (list string)} {msg : thunk string}
{cb : char_buffer} {n' n : ℕ} {err : dlist string} {a : α} {b : β} {sep : parser unit}
lemma of_bounded [p.bounded] : ¬ unfailing p :=
begin
introI,
cases h : p buffer.nil 0,
{ simpa [lt_irrefl] using bounded.of_done h },
{ exact of_fail h }
end
instance pure : unfailing (pure a) :=
⟨λ _ _, by simp [pure_eq_done]⟩
instance bind {f : α → parser β} [p.unfailing] [∀ a, (f a).unfailing] :
(p >>= f).unfailing :=
⟨λ cb n, begin
obtain ⟨np, a, hp⟩ := exists_done p cb n,
simpa [hp, and.comm, and.left_comm, and.assoc] using exists_done (f a) cb np
end⟩
instance and_then {q : parser β} [p.unfailing] [q.unfailing] : (p >> q).unfailing := unfailing.bind
instance map [p.unfailing] {f : α → β} : (f <$> p).unfailing := unfailing.bind
instance seq {f : parser (α → β)} [f.unfailing] [p.unfailing] : (f <*> p).unfailing :=
unfailing.bind
instance mmap {l : list α} {f : α → parser β} [∀ a, (f a).unfailing] : (l.mmap f).unfailing :=
begin
constructor,
induction l with hd tl hl,
{ intros,
simp [pure_eq_done] },
{ intros,
obtain ⟨np, a, hp⟩ := exists_done (f hd) cb n,
obtain ⟨n', b, hf⟩ := hl cb np,
simp [hp, hf, and.comm, and.left_comm, and.assoc, pure_eq_done] }
end
instance mmap' {l : list α} {f : α → parser β} [∀ a, (f a).unfailing] : (l.mmap' f).unfailing :=
begin
constructor,
induction l with hd tl hl,
{ intros,
simp [pure_eq_done] },
{ intros,
obtain ⟨np, a, hp⟩ := exists_done (f hd) cb n,
obtain ⟨n', b, hf⟩ := hl cb np,
simp [hp, hf, and.comm, and.left_comm, and.assoc, pure_eq_done] }
end
lemma failure : ¬ @parser.unfailing α failure :=
begin
introI h,
have : (failure : parser α) buffer.nil 0 = fail 0 dlist.empty := by simp,
exact of_fail this
end
instance guard_true : unfailing (guard true) := unfailing.pure
lemma guard : ¬ unfailing (guard false) :=
unfailing.failure
instance orelse [p.unfailing] : (p <|> q).unfailing :=
⟨λ cb n, by { obtain ⟨_, _, h⟩ := p.exists_done cb n, simp [success_iff, h] }⟩
instance decorate_errors [p.unfailing] :
(@decorate_errors α msgs p).unfailing :=
⟨λ cb n, by { obtain ⟨_, _, h⟩ := p.exists_done cb n, simp [success_iff, h] }⟩
instance decorate_error [p.unfailing] : (@decorate_error α msg p).unfailing :=
unfailing.decorate_errors
instance any_char : conditionally_unfailing any_char :=
⟨λ _ _ hn, by simp [success_iff, any_char_eq_done, hn]⟩
lemma sat : conditionally_unfailing (sat (λ _, true)) :=
⟨λ _ _ hn, by simp [success_iff, sat_eq_done, hn]⟩
instance eps : unfailing eps := unfailing.pure
instance remaining : remaining.unfailing :=
⟨λ _ _, by simp [success_iff, remaining_eq_done]⟩
lemma foldr_core_zero {f : α → β → β} {b : β} : ¬ (foldr_core f p b 0).unfailing :=
unfailing.failure
instance foldr_core_of_static {f : α → β → β} {b : β} {reps : ℕ} [p.static] [p.unfailing] :
(foldr_core f p b (reps + 1)).unfailing :=
begin
induction reps with reps hr,
{ constructor,
intros cb n,
obtain ⟨np, a, h⟩ := p.exists_done cb n,
simpa [foldr_core_eq_done, h] using (static.of_done h).symm },
{ constructor,
haveI := hr,
intros cb n,
obtain ⟨np, a, h⟩ := p.exists_done cb n,
have : n = np := static.of_done h,
subst this,
obtain ⟨np, b', hf⟩ := exists_done (foldr_core f p b (reps + 1)) cb n,
have : n = np := static.of_done hf,
subst this,
refine ⟨n, f a b', _⟩,
rw foldr_core_eq_done,
simp [h, hf, and.comm, and.left_comm, and.assoc] }
end
instance foldr_core_one_of_err_static {f : α → β → β} {b : β} [p.static] [p.err_static] :
(foldr_core f p b 1).unfailing :=
begin
constructor,
intros cb n,
cases h : p cb n,
{ simpa [foldr_core_eq_done, h] using (static.of_done h).symm },
{ simpa [foldr_core_eq_done, h] using (err_static.of_fail h).symm }
end
-- TODO: add foldr and foldl, many, etc, fix_core
lemma digit : ¬ digit.unfailing :=
of_bounded
lemma nat : ¬ nat.unfailing :=
of_bounded
end unfailing
namespace err_static
variables {α β : Type} {p q : parser α} {msgs : thunk (list string)} {msg : thunk string}
{cb : char_buffer} {n' n : ℕ} {err : dlist string} {a : α} {b : β} {sep : parser unit}
lemma not_of_ne (h : p cb n = fail n' err) (hne : n ≠ n') : ¬ err_static p :=
by { introI, exact hne (of_fail h) }
instance pure : err_static (pure a) :=
⟨λ _ _ _ _, by { simp [pure_eq_done] }⟩
instance bind {f : α → parser β} [p.static] [p.err_static] [∀ a, (f a).err_static] :
(p >>= f).err_static :=
⟨λ cb n n' err, begin
rw bind_eq_fail,
rintro (hp | ⟨_, _, hp, hf⟩),
{ exact of_fail hp },
{ exact trans (static.of_done hp) (of_fail hf) }
end⟩
instance bind_of_unfailing {f : α → parser β} [p.err_static] [∀ a, (f a).unfailing] :
(p >>= f).err_static :=
⟨λ cb n n' err, begin
rw bind_eq_fail,
rintro (hp | ⟨_, _, hp, hf⟩),
{ exact of_fail hp },
{ exact false.elim (unfailing.of_fail hf) }
end⟩
instance and_then {q : parser β} [p.static] [p.err_static] [q.err_static] : (p >> q).err_static :=
err_static.bind
instance and_then_of_unfailing {q : parser β} [p.err_static] [q.unfailing] : (p >> q).err_static :=
err_static.bind_of_unfailing
instance map [p.err_static] {f : α → β} : (f <$> p).err_static :=
⟨λ _ _ _ _, by { rw map_eq_fail, exact of_fail }⟩
instance seq {f : parser (α → β)} [f.static] [f.err_static] [p.err_static] : (f <*> p).err_static :=
err_static.bind
instance seq_of_unfailing {f : parser (α → β)} [f.err_static] [p.unfailing] :
(f <*> p).err_static :=
err_static.bind_of_unfailing
instance mmap : Π {l : list α} {f : α → parser β}
[∀ a, (f a).static] [∀ a, (f a).err_static], (l.mmap f).err_static
| [] _ _ _ := err_static.pure
| (a :: l) _ h h' := begin
convert err_static.bind,
{ exact h _ },
{ exact h' _ },
{ intro,
convert err_static.bind,
{ convert static.mmap,
exact h },
{ apply mmap,
{ exact h },
{ exact h' } },
{ exact λ _, err_static.pure } }
end
instance mmap_of_unfailing : Π {l : list α} {f : α → parser β}
[∀ a, (f a).unfailing] [∀ a, (f a).err_static], (l.mmap f).err_static
| [] _ _ _ := err_static.pure
| (a :: l) _ h h' := begin
convert err_static.bind_of_unfailing,
{ exact h' _ },
{ intro,
convert unfailing.bind,
{ convert unfailing.mmap,
exact h },
{ exact λ _, unfailing.pure } }
end
instance mmap' : Π {l : list α} {f : α → parser β}
[∀ a, (f a).static] [∀ a, (f a).err_static], (l.mmap' f).err_static
| [] _ _ _ := err_static.pure
| (a :: l) _ h h' := begin
convert err_static.and_then,
{ exact h _ },
{ exact h' _ },
{ convert mmap',
{ exact h },
{ exact h' } }
end
instance mmap'_of_unfailing : Π {l : list α} {f : α → parser β}
[∀ a, (f a).unfailing] [∀ a, (f a).err_static], (l.mmap' f).err_static
| [] _ _ _ := err_static.pure
| (a :: l) _ h h' := begin
convert err_static.and_then_of_unfailing,
{ exact h' _ },
{ convert unfailing.mmap',
exact h }
end
instance failure : @parser.err_static α failure :=
⟨λ _ _ _ _ h, (failure_eq_fail.mp h).left⟩
instance guard {p : Prop} [decidable p] : err_static (guard p) :=
⟨λ _ _ _ _ h, (guard_eq_fail.mp h).right.left⟩
instance orelse [p.err_static] [q.mono] : (p <|> q).err_static :=
⟨λ _ n n' _, begin
by_cases hn : n = n',
{ exact λ _, hn },
{ rw orelse_eq_fail_of_mono_ne hn,
{ exact of_fail },
{ apply_instance } }
end⟩
instance decorate_errors :
(@decorate_errors α msgs p).err_static :=
⟨λ _ _ _ _ h, (decorate_errors_eq_fail.mp h).left⟩
instance decorate_error : (@decorate_error α msg p).err_static :=
err_static.decorate_errors
instance any_char : err_static any_char :=
⟨λ _ _ _ _, by { rw [any_char_eq_fail, and.comm], simp }⟩
instance sat_iff {p : char → Prop} [decidable_pred p] : err_static (sat p) :=
⟨λ _ _ _ _ h, (sat_eq_fail.mp h).left⟩
instance eps : err_static eps := err_static.pure
instance ch (c : char) : err_static (ch c) :=
err_static.decorate_error
instance char_buf {cb' : char_buffer} : err_static (char_buf cb') :=
err_static.decorate_error
instance one_of {cs : list char} : err_static (one_of cs) :=
err_static.decorate_errors
instance one_of' {cs : list char} : err_static (one_of' cs) :=
err_static.and_then_of_unfailing
instance str {s : string} : err_static (str s) :=
err_static.decorate_error
instance remaining : remaining.err_static :=
⟨λ _ _ _ _, by simp [remaining_ne_fail]⟩
instance eof : eof.err_static :=
err_static.decorate_error
-- TODO: add foldr and foldl, many, etc, fix_core
lemma fix_core {F : parser α → parser α} (hF : ∀ (p : parser α), p.err_static → (F p).err_static) :
∀ (max_depth : ℕ), err_static (fix_core F max_depth)
| 0 := err_static.failure
| (max_depth + 1) := hF _ (fix_core _)
instance digit : digit.err_static :=
err_static.decorate_error
instance nat : nat.err_static :=
err_static.decorate_error
lemma fix {F : parser α → parser α} (hF : ∀ (p : parser α), p.err_static → (F p).err_static) :
err_static (fix F) :=
⟨λ cb n _ _ h,
by { haveI := fix_core hF (cb.size - n + 1), dsimp [fix] at h, exact err_static.of_fail h }⟩
end err_static
namespace step
variables {α β : Type} {p q : parser α} {msgs : thunk (list string)} {msg : thunk string}
{cb : char_buffer} {n' n : ℕ} {err : dlist string} {a : α} {b : β} {sep : parser unit}
lemma not_step_of_static_done [static p] (h : ∃ cb n n' a, p cb n = done n' a) : ¬ step p :=
begin
introI,
rcases h with ⟨cb, n, n', a, h⟩,
have hs := static.of_done h,
simpa [←hs] using of_done h
end
lemma pure (a : α) : ¬ step (pure a) :=
begin
apply not_step_of_static_done,
simp [pure_eq_done]
end
instance bind {f : α → parser β} [p.step] [∀ a, (f a).static] :
(p >>= f).step :=
⟨λ _ _ _ _, by { simp_rw bind_eq_done, rintro ⟨_, _, hp, hf⟩,
exact (static.of_done hf) ▸ (of_done hp) }⟩
instance bind' {f : α → parser β} [p.static] [∀ a, (f a).step] :
(p >>= f).step :=
⟨λ _ _ _ _, by { simp_rw bind_eq_done, rintro ⟨_, _, hp, hf⟩,
rw static.of_done hp, exact of_done hf }⟩
instance and_then {q : parser β} [p.step] [q.static] : (p >> q).step := step.bind
instance and_then' {q : parser β} [p.static] [q.step] : (p >> q).step := step.bind'
instance map [p.step] {f : α → β} : (f <$> p).step :=
⟨λ _ _ _ _, by { simp_rw map_eq_done, rintro ⟨_, hp, _⟩, exact of_done hp }⟩
instance seq {f : parser (α → β)} [f.step] [p.static] : (f <*> p).step := step.bind
instance seq' {f : parser (α → β)} [f.static] [p.step] : (f <*> p).step := step.bind'
instance mmap {f : α → parser β} [(f a).step] :
([a].mmap f).step :=
begin
convert step.bind,
{ apply_instance },
{ intro,
convert static.bind,
{ exact static.pure },
{ exact λ _, static.pure } }
end
instance mmap' {f : α → parser β} [(f a).step] :
([a].mmap' f).step :=
begin
convert step.and_then,
{ apply_instance },
{ exact static.pure }
end
instance failure : @parser.step α failure :=
⟨λ _ _ _ _, by simp⟩
lemma guard_true : ¬ step (guard true) := pure _
instance guard : step (guard false) :=
step.failure
instance orelse [p.step] [q.step] : (p <|> q).step :=
⟨λ _ _ _ _, by { simp_rw orelse_eq_done, rintro (h | ⟨h, -⟩); exact of_done h }⟩
lemma decorate_errors_iff : (@parser.decorate_errors α msgs p).step ↔ p.step :=
begin
split,
{ introI,
constructor,
intros cb n n' a h,
have : (@parser.decorate_errors α msgs p) cb n = done n' a := by simpa using h,
exact of_done this },
{ introI,
constructor,
intros _ _ _ _ h,
rw decorate_errors_eq_done at h,
exact of_done h }
end
instance decorate_errors [p.step] :
(@decorate_errors α msgs p).step :=
⟨λ _ _ _ _, by { rw decorate_errors_eq_done, exact of_done }⟩
lemma decorate_error_iff : (@parser.decorate_error α msg p).step ↔ p.step :=
decorate_errors_iff
instance decorate_error [p.step] : (@decorate_error α msg p).step :=
step.decorate_errors
instance any_char : step any_char :=
begin
constructor,
intros cb n,
simp_rw [any_char_eq_done],
rintro _ _ ⟨_, rfl, -⟩,
simp
end
instance sat {p : char → Prop} [decidable_pred p] : step (sat p) :=
begin
constructor,
intros cb n,
simp_rw [sat_eq_done],
rintro _ _ ⟨_, _, rfl, -⟩,
simp
end
lemma eps : ¬ step eps := step.pure ()
instance ch {c : char} : step (ch c) := step.decorate_error
lemma char_buf_iff {cb' : char_buffer} : (char_buf cb').step ↔ cb'.size = 1 :=
begin
have : char_buf cb' cb' 0 = done cb'.size () := by simp [char_buf_eq_done],
split,
{ introI,
simpa using of_done this },
{ intro h,
constructor,
intros cb n n' _,
rw [char_buf_eq_done, h],
rintro ⟨rfl, -⟩,
refl }
end
instance one_of {cs : list char} : (one_of cs).step :=
step.decorate_errors
instance one_of' {cs : list char} : (one_of' cs).step :=
step.and_then
lemma str_iff {s : string} : (str s).step ↔ s.length = 1 :=
by simp [str_eq_char_buf, char_buf_iff, ←string.to_list_inj, buffer.ext_iff]
lemma remaining : ¬ remaining.step :=
begin
apply not_step_of_static_done,
simp [remaining_eq_done]
end
lemma eof : ¬ eof.step :=
begin
apply not_step_of_static_done,
simp only [eof_eq_done, exists_eq_left', exists_const],
use [buffer.nil, 0],
simp
end
-- TODO: add foldr and foldl, many, etc, fix_core
lemma fix_core {F : parser α → parser α} (hF : ∀ (p : parser α), p.step → (F p).step) :
∀ (max_depth : ℕ), step (fix_core F max_depth)
| 0 := step.failure
| (max_depth + 1) := hF _ (fix_core _)
instance digit : digit.step :=
step.decorate_error
lemma fix {F : parser α → parser α} (hF : ∀ (p : parser α), p.step → (F p).step) :
step (fix F) :=
⟨λ cb n _ _ h,
by { haveI := fix_core hF (cb.size - n + 1), dsimp [fix] at h, exact of_done h }⟩
end step
section step
variables {α β : Type} {p q : parser α} {msgs : thunk (list string)} {msg : thunk string}
{cb : char_buffer} {n' n : ℕ} {err : dlist string} {a : α} {b : β} {sep : parser unit}
lemma many1_eq_done_iff_many_eq_done [p.step] [p.bounded] {x : α} {xs : list α} :
many1 p cb n = done n' (x :: xs) ↔ many p cb n = done n' (x :: xs) :=
begin
induction hx : (x :: xs) with hd tl IH generalizing x xs n n',
{ simpa using hx },
split,
{ simp only [many1_eq_done, and_imp, exists_imp_distrib],
intros np hp hm,
have : np = n + 1 := step.of_done hp,
have hn : n < cb.size := bounded.of_done hp,
subst this,
obtain ⟨k, hk⟩ : ∃ k, cb.size - n = k + 1 :=
nat.exists_eq_succ_of_ne_zero (ne_of_gt (nat.sub_pos_of_lt hn)),
cases k,
{ cases tl;
simpa [many_eq_done_nil, nat.sub_succ, hk, many_eq_done, hp, foldr_core_eq_done] using hm },
cases tl with hd' tl',
{ simpa [many_eq_done_nil, nat.sub_succ, hk, many_eq_done, hp, foldr_core_eq_done] using hm },
{ rw ←@IH hd' tl' at hm, swap, refl,
simp only [many1_eq_done, many, foldr] at hm,
obtain ⟨np, hp', hf⟩ := hm,
have : np = n + 1 + 1 := step.of_done hp',
subst this,
simpa [nat.sub_succ, many_eq_done, hp, hk, foldr_core_eq_done, hp'] using hf } },
{ simp only [many_eq_done, many1_eq_done, and_imp, exists_imp_distrib],
intros np hp hm,
have : np = n + 1 := step.of_done hp,
have hn : n < cb.size := bounded.of_done hp,
subst this,
obtain ⟨k, hk⟩ : ∃ k, cb.size - n = k + 1 :=
nat.exists_eq_succ_of_ne_zero (ne_of_gt (nat.sub_pos_of_lt hn)),
cases k,
{ cases tl;
simpa [many_eq_done_nil, nat.sub_succ, hk, many_eq_done, hp, foldr_core_eq_done] using hm },
cases tl with hd' tl',
{ simpa [many_eq_done_nil, nat.sub_succ, hk, many_eq_done, hp, foldr_core_eq_done] using hm },
{ simp [hp],
rw ←@IH hd' tl' (n + 1) n', swap, refl,
rw [hk, foldr_core_eq_done, or.comm] at hm,
obtain (hm | ⟨np, hd', tl', hp', hf, hm⟩) := hm,
{ simpa using hm },
simp only at hm,
obtain ⟨rfl, rfl⟩ := hm,
have : np = n + 1 + 1 := step.of_done hp',
subst this,
simp [nat.sub_succ, many, many1_eq_done, hp, hk, foldr_core_eq_done, hp', ←hf, foldr] } }
end
end step
namespace prog
variables {α β : Type} {p q : parser α} {msgs : thunk (list string)} {msg : thunk string}
{cb : char_buffer} {n' n : ℕ} {err : dlist string} {a : α} {b : β} {sep : parser unit}
@[priority 100] -- see Note [lower instance priority]
instance of_step [step p] : prog p :=
⟨λ _ _ _ _ h, by { rw step.of_done h, exact nat.lt_succ_self _ }⟩
lemma pure (a : α) : ¬ prog (pure a) :=
begin
introI h,
have : (pure a : parser α) buffer.nil 0 = done 0 a := by simp [pure_eq_done],
replace this : 0 < 0 := prog.of_done this,
exact (lt_irrefl _) this
end
instance bind {f : α → parser β} [p.prog] [∀ a, (f a).mono] :
(p >>= f).prog :=
⟨λ _ _ _ _, by { simp_rw bind_eq_done, rintro ⟨_, _, hp, hf⟩,
exact lt_of_lt_of_le (of_done hp) (mono.of_done hf) }⟩
instance and_then {q : parser β} [p.prog] [q.mono] : (p >> q).prog := prog.bind
instance map [p.prog] {f : α → β} : (f <$> p).prog :=
⟨λ _ _ _ _, by { simp_rw map_eq_done, rintro ⟨_, hp, _⟩, exact of_done hp }⟩
instance seq {f : parser (α → β)} [f.prog] [p.mono] : (f <*> p).prog := prog.bind
instance mmap {l : list α} {f : α → parser β} [(f a).prog] [∀ a, (f a).mono] :
((a :: l).mmap f).prog :=
begin
constructor,
simp only [and_imp, bind_eq_done, return_eq_pure, mmap, exists_imp_distrib, pure_eq_done],
rintro _ _ _ _ _ _ h _ _ hp rfl rfl,
exact lt_of_lt_of_le (of_done h) (mono.of_done hp)
end
instance mmap' {l : list α} {f : α → parser β} [(f a).prog] [∀ a, (f a).mono] :
((a :: l).mmap' f).prog :=
begin
constructor,
simp only [and_imp, bind_eq_done, mmap', exists_imp_distrib, and_then_eq_bind],
intros _ _ _ _ _ _ h hm,
exact lt_of_lt_of_le (of_done h) (mono.of_done hm)
end
instance failure : @parser.prog α failure :=
prog.of_step
lemma guard_true : ¬ prog (guard true) := pure _
instance guard : prog (guard false) :=
prog.failure
instance orelse [p.prog] [q.prog] : (p <|> q).prog :=
⟨λ _ _ _ _, by { simp_rw orelse_eq_done, rintro (h | ⟨h, -⟩); exact of_done h }⟩
lemma decorate_errors_iff : (@parser.decorate_errors α msgs p).prog ↔ p.prog :=
begin
split,
{ introI,
constructor,
intros cb n n' a h,
have : (@parser.decorate_errors α msgs p) cb n = done n' a := by simpa using h,
exact of_done this },
{ introI,
constructor,
intros _ _ _ _ h,
rw decorate_errors_eq_done at h,
exact of_done h }
end
instance decorate_errors [p.prog] :
(@decorate_errors α msgs p).prog :=
⟨λ _ _ _ _, by { rw decorate_errors_eq_done, exact of_done }⟩
lemma decorate_error_iff : (@parser.decorate_error α msg p).prog ↔ p.prog :=
decorate_errors_iff
instance decorate_error [p.prog] : (@decorate_error α msg p).prog :=
prog.decorate_errors
instance any_char : prog any_char :=
prog.of_step
instance sat {p : char → Prop} [decidable_pred p] : prog (sat p) :=
prog.of_step
lemma eps : ¬ prog eps := prog.pure ()
instance ch {c : char} : prog (ch c) :=
prog.of_step
lemma char_buf_iff {cb' : char_buffer} : (char_buf cb').prog ↔ cb' ≠ buffer.nil :=
begin
have : cb' ≠ buffer.nil ↔ cb'.to_list ≠ [] :=
not_iff_not_of_iff ⟨λ h, by simp [h], λ h, by simpa using congr_arg list.to_buffer h⟩,
rw [char_buf, this, decorate_error_iff],
cases cb'.to_list,
{ simp [pure] },
{ simp only [iff_true, ne.def, not_false_iff],
apply_instance }
end
instance one_of {cs : list char} : (one_of cs).prog :=
prog.decorate_errors
instance one_of' {cs : list char} : (one_of' cs).prog :=
prog.and_then
lemma str_iff {s : string} : (str s).prog ↔ s ≠ "" :=
by simp [str_eq_char_buf, char_buf_iff, ←string.to_list_inj, buffer.ext_iff]
lemma remaining : ¬ remaining.prog :=
begin
introI h,
have : remaining buffer.nil 0 = done 0 0 := by simp [remaining_eq_done],
replace this : 0 < 0 := prog.of_done this,
exact (lt_irrefl _) this
end
lemma eof : ¬ eof.prog :=
begin
introI h,
have : eof buffer.nil 0 = done 0 () := by simpa [remaining_eq_done],
replace this : 0 < 0 := prog.of_done this,
exact (lt_irrefl _) this
end
-- TODO: add foldr and foldl, many, etc, fix_core
instance many1 [p.mono] [p.prog] : p.many1.prog :=
begin
constructor,
rintro cb n n' (_ | ⟨hd, tl⟩),
{ simp },
{ rw many1_eq_done,
rintro ⟨np, hp, h⟩,
exact (of_done hp).trans_le (mono.of_done h) }
end
lemma fix_core {F : parser α → parser α} (hF : ∀ (p : parser α), p.prog → (F p).prog) :
∀ (max_depth : ℕ), prog (fix_core F max_depth)
| 0 := prog.failure
| (max_depth + 1) := hF _ (fix_core _)
instance digit : digit.prog :=
prog.of_step
instance nat : nat.prog :=
prog.decorate_error
lemma fix {F : parser α → parser α} (hF : ∀ (p : parser α), p.prog → (F p).prog) :
prog (fix F) :=
⟨λ cb n _ _ h,
by { haveI := fix_core hF (cb.size - n + 1), dsimp [fix] at h, exact of_done h }⟩
end prog
variables {α β : Type} {msgs : thunk (list string)} {msg : thunk string}
variables {p q : parser α} {cb : char_buffer} {n n' : ℕ} {err : dlist string}
variables {a : α} {b : β}
section many
-- TODO: generalize to p.prog instead of p.step
lemma many_sublist_of_done [p.step] [p.bounded] {l : list α}
(h : p.many cb n = done n' l) :
∀ k < n' - n, p.many cb (n + k) = done n' (l.drop k) :=
begin
induction l with hd tl hl generalizing n,
{ rw many_eq_done_nil at h,
simp [h.left] },
intros m hm,
cases m,
{ exact h },
rw [list.drop, nat.add_succ, ←nat.succ_add],
apply hl,
{ rw [←many1_eq_done_iff_many_eq_done, many1_eq_done] at h,
obtain ⟨_, hp, h⟩ := h,
convert h,
exact (step.of_done hp).symm },
{ exact nat.lt_pred_iff.mpr hm },
end
lemma many_eq_nil_of_done [p.step] [p.bounded] {l : list α}
(h : p.many cb n = done n' l) :
p.many cb n' = done n' [] :=
begin
induction l with hd tl hl generalizing n,
{ convert h,
rw many_eq_done_nil at h,
exact h.left.symm },
{ rw [←many1_eq_done_iff_many_eq_done, many1_eq_done] at h,
obtain ⟨_, -, h⟩ := h,
exact hl h }
end
lemma many_eq_nil_of_out_of_bound [p.bounded] {l : list α}
(h : p.many cb n = done n' l) (hn : cb.size < n) :
n' = n ∧ l = [] :=
begin
cases l,
{ rw many_eq_done_nil at h,
exact ⟨h.left.symm, rfl⟩ },
{ rw many_eq_done at h,
obtain ⟨np, hp, -⟩ := h,
exact absurd (bounded.of_done hp) hn.not_lt }
end
lemma many1_length_of_done [p.mono] [p.step] [p.bounded] {l : list α}
(h : many1 p cb n = done n' l) :
l.length = n' - n :=
begin
induction l with hd tl hl generalizing n n',
{ simpa using h },
{ obtain ⟨k, hk⟩ : ∃ k, n' = n + k + 1 := nat.exists_eq_add_of_lt (prog.of_done h),
subst hk,
simp only [many1_eq_done] at h,
obtain ⟨_, hp, h⟩ := h,
have := step.of_done hp,
subst this,
cases tl,
{ simp only [many_eq_done_nil, add_left_inj, exists_and_distrib_right, self_eq_add_right] at h,
rcases h with ⟨rfl, -⟩,
simp },
rw ←many1_eq_done_iff_many_eq_done at h,
specialize hl h,
simp [hl, add_comm, add_assoc, nat.sub_succ] }
end
lemma many1_bounded_of_done [p.step] [p.bounded] {l : list α}
(h : many1 p cb n = done n' l) :
n' ≤ cb.size :=
begin
induction l with hd tl hl generalizing n n',
{ simpa using h },
{ simp only [many1_eq_done] at h,
obtain ⟨np, hp, h⟩ := h,
have := step.of_done hp,
subst this,
cases tl,
{ simp only [many_eq_done_nil, exists_and_distrib_right] at h,
simpa [←h.left] using bounded.of_done hp },
{ rw ←many1_eq_done_iff_many_eq_done at h,
exact hl h } }
end
end many
section nat
/--
The `val : ℕ` produced by a successful parse of a `cb : char_buffer` is the numerical value
represented by the string of decimal digits (possibly padded with 0s on the left)
starting from the parsing position `n` and ending at position `n'`. The number
of characters parsed in is necessarily `n' - n`.
This is one of the directions of `nat_eq_done`.
-/
lemma nat_of_done {val : ℕ} (h : nat cb n = done n' val) :
val = (nat.of_digits 10 ((((cb.to_list.drop n).take (n' - n)).reverse.map
(λ c, c.to_nat - '0'.to_nat)))) :=
begin
/- The parser `parser.nat` that generates a decimal number from a string of digit characters does
several things. First it ingests in as many digits as it can with `many1 digit`. Then, it folds
over the resulting `list ℕ` using a helper function that keeps track of both the running sum an
and the magnitude so far, using a `(sum, magnitude) : (ℕ × ℕ)` pair. The final sum is extracted
using a `prod.fst`.
To prove that the value that `parser.nat` produces, after moving precisely `n' - n` steps, is
precisely what `nat.of_digits` would give, if supplied the string that is in the ingested
`char_buffer` (modulo conversion from `char` to `ℕ ), we need to induct over the length `n' - n`
of `cb : char_buffer` ingested, and prove that the parser must have terminated due to hitting
either the end of the `char_buffer` or a non-digit character.
The statement of the lemma is phrased using a combination of `list.drop` and `list.map` because
there is no currently better way to extract an "interval" from a `char_buffer`. Additionally, the
statement uses a `list.reverse` because `nat.of_digits` is little-endian.
We try to stop referring to the `cb : char_buffer` as soon as possible, so that we can instead
regard a `list char` instead, which lends itself better to proofs via induction.
-/
/- We first prove some helper lemmas about the definition of `parser.nat`. Since it is defined
in core, we have to work with how it is defined instead of changing its definition.
In its definition, the function that folds over the parsed in digits is defined internally,
as a lambda with anonymous destructor syntax, which leads to an unpleasant `nat._match_1` term
when rewriting the definition of `parser.nat` away. Since we know exactly what the function is,
we have a `rfl`-like lemma here to rewrite it back into a readable form.
-/
have natm : nat._match_1 = (λ (d : ℕ) p, ⟨p.1 + d * p.2, p.2 * 10⟩),
{ ext1, ext1 ⟨⟩, refl },
-- We also have to prove what is the `prod.snd` of the result of the fold of a `list (ℕ × ℕ)` with
-- the function above. We use this lemma later when we finish our inductive case.
have hpow : ∀ l, (list.foldr (λ (digit : ℕ) (x : ℕ × ℕ), (x.fst + digit * x.snd, x.snd * 10))
(0, 1) l).snd = 10 ^ l.length,
{ intro l,
induction l with hd tl hl,
{ simp },
{ simp [hl, pow_succ, mul_comm] } },
-- We convert the hypothesis that `parser.nat` has succeeded into an existential that there is
-- some list of digits that it has parsed in, and that those digits, when folded over by the
-- function above, give the value at hand.
simp only [nat, pure_eq_done, natm, decorate_error_eq_done, bind_eq_done] at h,
obtain ⟨n', l, hp, rfl, rfl⟩ := h,
-- We now want to stop working with the `cb : char_buffer` and parse positions `n` and `n'`,
-- and just deal with the parsed digit list `l : list ℕ`. To do so, we have to show that
-- this is precisely the list that could have been parsed in, no smaller and no greater.
induction l with lhd ltl IH generalizing n n' cb,
{ -- Base case: we parsed in no digits whatsoever. But this is impossible because `parser.many1`
-- must produce a list that is not `list.nil`, by `many1_ne_done_nil`.
simpa using hp },
-- Inductive case:
-- We must prove that the first digit parsed in `lhd : ℕ` is precisely the digit that is
-- represented by the character at position `n` in `cb : char_buffer`.
-- We will also prove the the correspondence between the subsequent digits `ltl : list ℕ` and the
-- remaining characters past position `n` up to position `n'`.
cases hx : (list.drop n (buffer.to_list cb)) with chd ctl,
{ -- Are there even characters left to parse, at position `n` in the `cb : char_buffer`? In other
-- words, are we already out of bounds, and thus could not have parsed in any value
-- successfully. But this must be a contradiction because `parser.digit` is a `bounded` parser,
-- (due to its being defined via `parser.decorate_error`), which means it only succeeds
-- in-bounds, and the `many1` parser combinator retains that property.
have : cb.size ≤ n := by simpa using list.drop_eq_nil_iff_le.mp hx,
exact absurd (bounded.of_done hp) this.not_lt },
-- We prove that the first digit parsed in is precisely the digit that is represented by the
-- character at position `n`, which we now call `chd : char`.
have chdh : chd.to_nat - '0'.to_nat = lhd,
{ simp only [many1_eq_done] at hp,
-- We know that `parser.digit` succeeded, so it has moved to a possibly different position.
-- In fact, we know that this new position is `n + 1`, by the `step` property of
-- `parser.digit`.
obtain ⟨_, hp, -⟩ := hp,
have := step.of_done hp,
subst this,
-- We now unfold what it means for `parser.digit` to succeed, which means that the character
-- parsed in was "numeric" (for some definition of that property), and, more importantly,
-- that the `n`th character of `cb`, let's say `c`, when converted to a `ℕ` via
-- `char.to_nat c - '0'.to_nat`, must be equal to the resulting value, `lhd` in our case.
simp only [digit_eq_done, buffer.read_eq_nth_le_to_list, hx, buffer.length_to_list, true_and,
add_left_inj, list.length, list.nth_le, eq_self_iff_true, exists_and_distrib_left,
fin.coe_mk] at hp,
rcases hp with ⟨_, hn, rfl, _, _⟩,
-- But we already know the list corresponding to `cb : char_buffer` from position `n` and on
-- is equal to `(chd :: ctl) : list char`, so our `c` above must satisfy `c = chd`.
have hn' : n < cb.to_list.length := by simpa using hn,
rw ←list.cons_nth_le_drop_succ hn' at hx,
-- We can ignore proving any correspondence of `ctl : list char` to the other portions of the
-- `cb : char_buffer`.
simp only at hx,
simp [hx] },
-- We know that we parsed in more than one character because of the `prog` property of
-- `parser.digit`, which the `many1` parser combinator retains. In other words, we know that
-- `n < n'`, and so, the list of digits `ltl` must correspond to the list of digits that
-- `digit.many1 cb (n + 1)` would produce. We know that the shift of `1` in `n ↦ n + 1` holds
-- due to the `step` property of `parser.digit`.
-- We also get here `k : ℕ` which will indicate how many characters we parsed in past position
-- `n`. We will prove later that this must be the number of digits we produced as well in `ltl`.
obtain ⟨k, hk⟩ : ∃ k, n' = n + k + 1 := nat.exists_eq_add_of_lt (prog.of_done hp),
have hdm : ltl = [] ∨ digit.many1 cb (n + 1) = done n' ltl,
{ cases ltl,
{ simp },
{ rw many1_eq_done at hp,
obtain ⟨_, hp, hp'⟩ := hp,
simpa [step.of_done hp, many1_eq_done_iff_many_eq_done] using hp' } },
-- Now we case on the two possibilities, that there was only a single digit parsed in, and
-- `ltl = []`, or, had we started parsing at `n + 1` instead, we'd parse in the value associated
-- with `ltl`.
-- We prove that the LHS, which is a fold over a `list ℕ` is equal to the RHS, which is that
-- the `val : ℕ` that `nat.of_digits` produces when supplied a `list ℕ that has been produced
-- via mapping a `list char` using `char.to_nat`. Specifically, that `list char` are the
-- characters in the `cb : char_buffer`, from position `n` to position `n'` (excluding `n'`),
-- in reverse.
rcases hdm with rfl|hdm,
{ -- Case that `ltl = []`.
simp only [many1_eq_done, many_eq_done_nil, exists_and_distrib_right] at hp,
-- This means we must have failed parsing with `parser.digit` at some other position,
-- which we prove must be `n + 1` via the `step` property.
obtain ⟨_, hp, rfl, hp'⟩ := hp,
have := step.of_done hp,
subst this,
-- Now we rely on the simplifier, which simplfies the LHS, which is a fold over a singleton
-- list. On the RHS, `list.take (n + 1 - n)` also produces a singleton list, which, when
-- reversed, is the same list. `nat.of_digits` of a singleton list is precisely the value in
-- the list. And we already have that `chd.to_nat - '0'.to_nat = lhd`.
simp [chdh] },
-- We now have to deal with the case where we parsed in more than one digit, and thus
-- `n + 1 < n'`, which means `ctl` has one or more elements. Similarly, `ltl` has one or more
-- elements.
-- We finish ridding ourselves of references to `cb : char_buffer`, by relying on the fact that
-- our `ctl : list char` must be the appropriate portion of `cb` once enough elements have been
-- dropped and taken.
have rearr :
list.take (n + (k + 1) - (n + 1)) (list.drop (n + 1) (buffer.to_list cb)) = ctl.take k,
{ simp [←list.tail_drop, hx, nat.sub_succ, hk] },
-- We have to prove that the number of digits produced (given by `ltl`) is equal to the number
-- of characters parsed in, as given by `ctl.take k`, and that this is precisely `k`. We phrase it
-- in the statement using `min`, because lemmas about `list.length (list.take ...)` simplify to
-- a statement that uses `min`. The `list.length` term appears from the reduction of the folding
-- function, as proven above.
have ltll : min k ctl.length = ltl.length,
{ -- Here is an example of how statements about the `list.length` of `list.take` simplify.
have : (ctl.take k).length = min k ctl.length := by simp,
-- We bring back the underlying definition of `ctl` as the result of a sequence of `list.take`
-- and `list.drop`, so that lemmas about `list.length` of those can fire.
rw [←this, ←rearr, many1_length_of_done hdm],
-- Likewise, we rid ourselves of the `k` we generated earlier.
have : k = n' - n - 1,
{ simp [hk, add_assoc] },
subst this,
simp only [nat.sub_succ, add_comm, ←nat.pred_sub, buffer.length_to_list, nat.pred_one_add,
min_eq_left_iff, list.length_drop, nat.add_sub_cancel_left, list.length_take,
nat.sub_zero],
-- We now have a goal of proving an inequality dealing with `nat` subtraction and `nat.pred`,
-- both of which require special care to provide positivity hypotheses.
rw [nat.sub_le_sub_right_iff, nat.pred_le_iff],
{ -- We know that `n' ≤ cb.size` because of the `bounded` property, that a parser will not
-- produce a `done` result at a position farther than the size of the underlying
-- `char_buffer`.
convert many1_bounded_of_done hp,
-- What is now left to prove is that `0 < cb.size`, which can be rephrased
-- as proving that it is nonempty.
cases hc : cb.size,
{ -- Proof by contradiction. Let's say that `cb.size = 0`. But we know that we succeeded
-- parsing in at position `n` using a `bounded` parser, so we must have that
-- `n < cb.size`.
have := bounded.of_done hp,
rw hc at this,
-- But then `n < 0`, a contradiction.
exact absurd n.zero_le this.not_le },
{ simp } },
{ -- Here, we use the same result as above, that `n < cb.size`, and relate it to
-- `n ≤ cb.size.pred`.
exact nat.le_pred_of_lt (bounded.of_done hp) } },
-- Finally, we simplify. On the LHS, we have a fold over `lhd :: ltl`, which simplifies to
-- the operation of the summing folding function on `lhd` and the fold over `ltl`. To that we can
-- apply the induction hypothesis, because we know that our parser would have succeeded had we
-- started at position `n + 1`. We replace mentions of `cb : char_buffer` with the appropriate
-- `chd :: ctl`, replace `lhd` with the appropriate statement of how it is calculated from `chd`,
-- and use the lemmas describing the length of `ltl` and how it is associated with `k`. We also
-- remove mentions of `n'` and replace with an expression using solely `n + k + 1`.
-- We use the lemma we proved above about how the folding function produces the
-- `prod.snd` value, which is `10` to the power of the length of the list provided to the fold.
-- Finally, we rely on `nat.of_digits_append` for the related statement of how digits given
-- are used in the `nat.of_digits` calculation, which also involves `10 ^ list.length ...`.
-- The `list.append` operation appears due to the `list.reverse (chd :: ctl)`.
-- We include some addition and multiplication lemmas to help the simplifier rearrange terms.
simp [IH _ hdm, hx, hk, rearr, ←chdh, ←ltll, hpow, add_assoc, nat.of_digits_append, mul_comm]
end
/--
If we know that `parser.nat` was successful, starting at position `n` and ending at position `n'`,
then it must be the case that for all `k : ℕ`, `n ≤ k`, `k < n'`, the character at the `k`th
position in `cb : char_buffer` is "numeric", that is, is between `'0'` and `'9'` inclusive.
This is a necessary part of proving one of the directions of `nat_eq_done`.
-/
lemma nat_of_done_as_digit {val : ℕ} (h : nat cb n = done n' val) :
∀ (hn : n' ≤ cb.size) k (hk : k < n'), n ≤ k →
'0' ≤ cb.read ⟨k, hk.trans_le hn⟩ ∧ cb.read ⟨k, hk.trans_le hn⟩ ≤ '9' :=
begin
-- The properties to be shown for the characters involved rely solely on the success of
-- `parser.digit` at the relevant positions, and not on the actual value `parser.nat` produced.
-- We break done the success of `parser.nat` into the `parser.digit` success and throw away
-- the resulting value given by `parser.nat`, and focus solely on the `list ℕ` generated by
-- `parser.digit.many1`.
simp only [nat, pure_eq_done, and.left_comm, decorate_error_eq_done, bind_eq_done,
exists_eq_left, exists_and_distrib_left] at h,
obtain ⟨xs, h, -⟩ := h,
-- We want to avoid having to make statements about the `cb : char_buffer` itself. Instead, we
-- induct on the `xs : list ℕ` that `parser.digit.many1` produced.
induction xs with hd tl hl generalizing n n',
{ -- Base case: `xs` is empty. But this is a contradiction because `many1` always produces a
-- nonempty list, as proven by `many1_ne_done_nil`.
simpa using h },
-- Inductive case: we prove that the `parser.digit.many1` produced a valid `(hd :: tl) : list ℕ`,
-- by showing that is the case for the character at position `n`, which gave `hd`, and use the
-- induction hypothesis on the remaining `tl`.
-- We break apart a `many1` success into a success of the underlying `parser.digit` to give `hd`
-- and a `parser.digit.many` which gives `tl`. We first deal with the `hd`.
rw many1_eq_done at h,
-- Right away, we can throw away the information about the "new" position that `parser.digit`
-- ended on because we will soon prove that it must have been `n + 1`.
obtain ⟨_, hp, h⟩ := h,
-- The main lemma here is `digit_eq_done`, which already proves the necessary conditions about
-- the character at hand. What is left to do is properly unpack the information.
simp only [digit_eq_done, and.comm, and.left_comm, digit_eq_fail, true_and, exists_eq_left,
eq_self_iff_true, exists_and_distrib_left, exists_and_distrib_left] at hp,
obtain ⟨rfl, -, hn, ge0, le9, rfl⟩ := hp,
-- Let's now consider a position `k` between `n` and `n'`, excluding `n'`.
intros hn k hk hk',
-- What if we are at `n`? What if we are past `n`? We case on the `n ≤ k`.
rcases hk'.eq_or_lt with rfl|hk',
{ -- The `n = k` case. But this is exactly what we know already, so we provide the
-- relevant hypotheses.
exact ⟨ge0, le9⟩ },
-- The `n < k` case. First, we check if there would have even been digits parsed in. So, we
-- case on `tl : list ℕ`
cases tl,
{ -- Case where `tl = []`. But that means `many` gave us a `[]` so either the character at
-- position `k` was not "numeric" or we are out of bounds. More importantly, when `many`
-- successfully produces a `[]`, it does not progress the parser head, so we have that
-- `n + 1 = n'`. This will lead to a contradiction because now we have `n < k` and `k < n + 1`.
simp only [many_eq_done_nil, exists_and_distrib_right] at h,
-- Extract out just the `n + 1 = n'`.
obtain ⟨rfl, -⟩ := h,
-- Form the contradictory hypothesis, and discharge the goal.
have : k < k := hk.trans_le (nat.succ_le_of_lt hk'),
exact absurd this (lt_irrefl _) },
{ -- Case where `tl ≠ []`. But that means that `many` produced a nonempty list as a result, so
-- `many1` would have successfully parsed at this position too. We use this statement to
-- rewrite our hypothesis into something that works with the induction hypothesis, and apply it.
rw ←many1_eq_done_iff_many_eq_done at h,
apply hl h,
-- All that is left to prove is that our `k` is at least our new "lower bound" `n + 1`, which
-- we have from our original split of the `n ≤ k`, since we are now on the `n < k` case.
exact nat.succ_le_of_lt hk' }
end
/--
If we know that `parser.nat` was successful, starting at position `n` and ending at position `n'`,
then it must be the case that for the ending position `n'`, either it is beyond the end of the
`cb : char_buffer`, or the character at that position is not "numeric", that is, between `'0'` and
`'9'` inclusive.
This is a necessary part of proving one of the directions of `nat_eq_done`.
-/
lemma nat_of_done_bounded {val : ℕ} (h : nat cb n = done n' val) :
∀ (hn : n' < cb.size), '0' ≤ cb.read ⟨n', hn⟩ → '9' < cb.read ⟨n', hn⟩ :=
begin
-- The properties to be shown for the characters involved rely solely on the success of
-- `parser.digit` at the relevant positions, and not on the actual value `parser.nat` produced.
-- We break done the success of `parser.nat` into the `parser.digit` success and throw away
-- the resulting value given by `parser.nat`, and focus solely on the `list ℕ` generated by
-- `parser.digit.many1`.
-- We deal with the case of `n'` is "out-of-bounds" right away by requiring that
-- `∀ (hn : n' < cb.size)`. Thus we only have to prove the lemma for the cases where `n'` is still
-- "in-bounds".
simp only [nat, pure_eq_done, and.left_comm, decorate_error_eq_done, bind_eq_done,
exists_eq_left, exists_and_distrib_left] at h,
obtain ⟨xs, h, -⟩ := h,
-- We want to avoid having to make statements about the `cb : char_buffer` itself. Instead, we
-- induct on the `xs : list ℕ` that `parser.digit.many1` produced.
induction xs with hd tl hl generalizing n n',
{ -- Base case: `xs` is empty. But this is a contradiction because `many1` always produces a
-- nonempty list, as proven by `many1_ne_done_nil`.
simpa using h },
-- Inductive case: at least one character has been parsed in, starting at position `n`.
-- We know that the size of `cb : char_buffer` must be at least `n + 1` because
-- `parser.digit.many1` is `bounded` (`n < cb.size`).
-- We show that either we parsed in just that one character, or we use the inductive hypothesis.
obtain ⟨k, hk⟩ : ∃ k, cb.size = n + k + 1 := nat.exists_eq_add_of_lt (bounded.of_done h),
cases tl,
{ -- Case where `tl = []`, so we parsed in only `hd`. That must mean that `parser.digit` failed
-- at `n + 1`.
simp only [many1_eq_done, many_eq_done_nil, and.left_comm, exists_and_distrib_right,
exists_eq_left] at h,
-- We throw away the success information of what happened at position `n`, and we do not need
-- the "error" value that the failure produced.
obtain ⟨-, _, h⟩ := h,
-- If `parser.digit` failed at `n + 1`, then either we hit a non-numeric character, or
-- we are out of bounds. `digit_eq_fail` provides us with those two cases.
simp only [digit_eq_done, and.comm, and.left_comm, digit_eq_fail, true_and, exists_eq_left,
eq_self_iff_true, exists_and_distrib_left] at h,
obtain (⟨rfl, h⟩ | ⟨h, -⟩) := h,
{ -- First case: we are still in bounds, but the character is not numeric. We must prove
-- that we are still in bounds. But we know that from our initial requirement.
intro hn,
simpa using h hn },
{ -- Second case: we are out of bounds, and somehow the fold that `many1` relied on failed.
-- But we know that `parser.digit` is mono, that is, it never goes backward in position,
-- in neither success nor in failure. We also have that `foldr_core` respects `mono`.
-- But in this case, `foldr_core` is starting at position `n' + 1` but failing at
-- position `n'`, which is a contradiction, because otherwise we would have `n' + 1 ≤ n'`.
simpa using mono.of_fail h } },
{ -- Case where `tl ≠ []`. But that means that `many` produced a nonempty list as a result, so
-- `many1` would have successfully parsed at this position too. We use this statement to
-- rewrite our hypothesis into something that works with the induction hypothesis, and apply it.
rw many1_eq_done at h,
obtain ⟨_, -, h⟩ := h,
rw ←many1_eq_done_iff_many_eq_done at h,
exact hl h }
end
/--
The `val : ℕ` produced by a successful parse of a `cb : char_buffer` is the numerical value
represented by the string of decimal digits (possibly padded with 0s on the left)
starting from the parsing position `n` and ending at position `n'`, where `n < n'`. The number
of characters parsed in is necessarily `n' - n`. Additionally, all of the characters in the `cb`
starting at position `n` (inclusive) up to position `n'` (exclusive) are "numeric", in that they
are between `'0'` and `'9'` inclusive. Such a `char_buffer` would produce the `ℕ` value encoded
by its decimal characters.
-/
lemma nat_eq_done {val : ℕ} : nat cb n = done n' val ↔ ∃ (hn : n < n'),
val = (nat.of_digits 10 ((((cb.to_list.drop n).take (n' - n)).reverse.map
(λ c, c.to_nat - '0'.to_nat)))) ∧ (∀ (hn' : n' < cb.size),
('0' ≤ cb.read ⟨n', hn'⟩ → '9' < cb.read ⟨n', hn'⟩)) ∧ ∃ (hn'' : n' ≤ cb.size),
(∀ k (hk : k < n'), n ≤ k →
'0' ≤ cb.read ⟨k, hk.trans_le hn''⟩ ∧ cb.read ⟨k, hk.trans_le hn''⟩ ≤ '9') :=
begin
-- To prove this iff, we have most of the way in the forward direction, using the lemmas proven
-- above. First, we must use that `parser.nat` is `prog`, which means that on success, it must
-- move forward. We also have to prove the statement that a success means the parsed in
-- characters were properly "numeric". It involves first generating ane existential witness
-- that the parse was completely "in-bounds".
-- For the reverse direction, we first discharge the goals that deal with proving that our parser
-- succeeded because it encountered characters with the proper "numeric" properties, was
-- "in-bounds" and hit a nonnumeric character. The more difficult portion is proving that the
-- list of characters from positions `n` to `n'`, when folded over by the function defined inside
-- `parser.nat` gives exactly the same value as `nat.of_digits` when supplied with the same
-- (modulo rearrangement) list. To reach this goal, we try to remove any reliance on the
-- underlying `cb : char_buffer` or parsers as soon as possible, via a cased-induction.
refine ⟨λ h, ⟨prog.of_done h, nat_of_done h, nat_of_done_bounded h, _⟩, _⟩,
{ -- To provide the existential witness that `n'` is within the bounds of the `cb : char_buffer`,
-- we rely on the fact that `parser.nat` is primarily a `parser.digit.many1`, and that `many1`,
-- must finish with the bounds of the `cb`, as long as the underlying parser is `step` and
-- `bounded`, which `digit` is. We do not prove this as a separate lemma about `parser.nat`
-- because it would almost always be only relevant in this larger theorem.
-- We clone the success hypothesis `h` so that we can supply it back later.
have H := h,
-- We unwrap the `parser.nat` success down to the `many1` success, throwing away other info.
rw [nat] at h,
simp only [decorate_error_eq_done, bind_eq_done, pure_eq_done, and.left_comm, exists_eq_left,
exists_and_distrib_left] at h,
obtain ⟨_, h, -⟩ := h,
-- Now we get our existential witness that `n' ≤ cb.size`.
replace h := many1_bounded_of_done h,
-- With that, we can use the lemma proved above that our characters are "numeric"
exact ⟨h, nat_of_done_as_digit H h⟩ },
-- We now prove that given the `cb : char_buffer` with characters within the `n ≤ k < n'` interval
-- properly "numeric" and such that their `nat.of_digits` generates the `val : ℕ`, `parser.nat`
-- of that `cb`, when starting at `n`, will finish at `n'` and produce the same `val`.
-- We first introduce the relevant hypotheses, including the fact that we have a valid interval
-- where `n < n'` and that characters at `n'` and beyond are no longer numeric.
rintro ⟨hn, hv, hb, hn', ho⟩,
-- We first unwrap the `parser.nat` definition to the underlying `parser.digit.many1` success
-- and the fold function of the digits.
rw nat,
simp only [and.left_comm, pure_eq_done, hv, decorate_error_eq_done, list.map_reverse,
bind_eq_done, exists_eq_left, exists_and_distrib_left],
-- We won't actually need the `val : ℕ` itself, since it is entirely characterized by the
-- underlying characters. Instead, we will induct over the `list char` of characters from
-- position `n` onwards, showing that if we could have provided a list at `n`, we could have
-- provided a valid list of characters at `n + 1` too.
clear hv val,
/- We first prove some helper lemmas about the definition of `parser.nat`. Since it is defined
in core, we have to work with how it is defined instead of changing its definition.
In its definition, the function that folds over the parsed in digits is defined internally,
as a lambda with anonymous destructor syntax, which leads to an unpleasant `nat._match_1` term
when rewriting the definition of `parser.nat` away. Since we know exactly what the function is,
we have a `rfl`-like lemma here to rewrite it back into a readable form.
-/
have natm : nat._match_1 = (λ (d : ℕ) p, ⟨p.1 + d * p.2, p.2 * 10⟩),
{ ext1, ext1 ⟨⟩, refl },
-- We induct over the characters available at position `n` and onwards. Because `cb` is used
-- in other expressions, we utilize the `induction H : ...` tactic to induct separately from
-- destructing `cb` itself.
induction H : (cb.to_list.drop n) with hd tl IH generalizing n,
{ -- Base case: there are no characters at position `n` or onwards, which means that
-- `cb.size ≤ n`. But this is a contradiction, since we have `n < n' ≤ cb.size`.
rw list.drop_eq_nil_iff_le at H,
refine absurd ((lt_of_le_of_lt H hn).trans_le hn') _,
simp },
{ -- Inductive case: we prove that if we could have parsed from `n + 1`, we could have also parsed
-- from `n`, if there was a valid numerical character at `n`. Most of the body
-- of this inductive case is generating the appropriate conditions for use of the inductive
-- hypothesis.
specialize @IH (n + 1),
-- We have, by the inductive case, that there is at least one character `hd` at position `n`,
-- with the rest at `tl`. We rearrange our inductive case to make `tl` be expressed as
-- list.drop (n + 1), which fits out induction hypothesis conditions better. To use the
-- rearranging lemma, we must prove that we are "dropping" in bounds, which we supply on-the-fly
simp only [←list.cons_nth_le_drop_succ
(show n < cb.to_list.length, by simpa using hn.trans_le hn')] at H,
-- We prove that parsing our `n`th character, `hd`, would have resulted in a success from
-- `parser.digit`, with the appropriate `ℕ` success value. We use this later to simplify the
-- unwrapped fold, since `hd` is our head character.
have hdigit : digit cb n = done (n + 1) (hd.to_nat - '0'.to_nat),
{ -- By our necessary condition, we know that `n` is in bounds, and that the `n`th character
-- has the necessary "numeric" properties.
specialize ho n hn (le_refl _),
-- We prove an additional result that the conversion of `hd : char` to a `ℕ` would give a
-- value `x ≤ 9`, since that is part of the iff statement in the `digit_eq_done` lemma.
have : (buffer.read cb ⟨n, hn.trans_le hn'⟩).to_nat - '0'.to_nat ≤ 9,
{ -- We rewrite the statement to be a statement about characters instead, and split the
-- inequality into the case that our hypotheses prove, and that `'0' ≤ '9'`, which
-- is true by computation, handled by `dec_trivial`.
rw [show 9 = '9'.to_nat - '0'.to_nat, from dec_trivial, nat.sub_le_sub_right_iff],
{ exact ho.right },
{ dec_trivial } },
-- We rely on the simplifier, mostly powered by `digit_eq_done`, and supply all the
-- necessary conditions of bounds and identities about `hd`.
simp [digit_eq_done, this, ←H.left, buffer.nth_le_to_list, hn.trans_le hn', ho] },
-- We now case on whether we've moved to the end of our parse or not. We phrase this as
-- casing on either `n + 1 < n` or `n ≤ n + 1`. The more difficult goal comes first.
cases lt_or_ge (n + 1) n' with hn'' hn'',
{ -- Case `n + 1 < n'`. We can directly supply this to our induction hypothesis.
-- We now have to prove, for the induction hypothesis, that the characters at positions `k`,
-- `n + 1 ≤ k < n'` are "numeric". We already had this for `n ≤ k < n`, so we just rearrange
-- the hypotheses we already have.
specialize IH hn'' _ H.right,
{ intros k hk hk',
apply ho,
exact nat.le_of_succ_le hk' },
-- With the induction hypothesis conditions satisfier, we can extract out a list that
-- `parser.digit.many1` would have generated from position `n + 1`, as well as the associated
-- property of the list, that it folds into what `nat.of_digits` generates from the
-- characters in `cb : char_buffer`, now known as `hd :: tl`.
obtain ⟨l, hdl, hvl⟩ := IH,
-- Of course, the parsed in list from position `n` would be `l` prepended with the result
-- of parsing in `hd`, which is provided explicitly.
use (hd.to_nat - '0'.to_nat) :: l,
-- We case on `l : list ℕ` so that we can make statements about the fold on `l`
cases l with lhd ltl,
{ -- As before, if `l = []` then `many1` produced a `[]` success, which is a contradiction.
simpa using hdl },
-- Case `l = lhd :: ltl`. We can rewrite the fold of the function inside `parser.nat` on
-- `lhd :: ltl`, which will be used to rewrite in the goal.
simp only [natm, list.foldr] at hvl,
-- We also expand the fold in the goal, using the expanded fold from our hypothesis, powered
-- by `many1_eq_done` to proceed in the parsing. We know exactly what the next `many` will
-- produce from `many1_eq_done_iff_many_eq_done.mp` of our `hdl` hypothesis. Finally,
-- we also use `hdigit` to express what the single `parser.digit` result would be at `n`.
simp only [natm, hvl, many1_eq_done, hdigit, many1_eq_done_iff_many_eq_done.mp hdl, true_and,
and_true, eq_self_iff_true, list.foldr, exists_eq_left'],
-- Now our goal is solely about the equality of two different folding functions, one from the
-- function defined inside `parser.nat` and the other as `nat.of_digits`, when applied to
-- similar list inputs.
-- First, we rid ourselves of `n'` by replacing with `n + m + 1`, which allows us to
-- simplify the term of how many elements we are keeping using a `list.take`.
obtain ⟨m, rfl⟩ : ∃ m, n' = n + m + 1 := nat.exists_eq_add_of_lt hn,
-- The following rearrangement lemma is to simplify the `list.take (n' - n)` expression we had
have : n + m + 1 - n = m + 1,
{ rw [add_assoc, nat.sub_eq_iff_eq_add, add_comm],
exact nat.le_add_right _ _ },
-- We also have to prove what is the `prod.snd` of the result of the fold of a `list (ℕ × ℕ)`
-- with the function above. We use this lemma to finish our inductive case.
have hpow : ∀ l, (list.foldr (λ (digit : ℕ) (x : ℕ × ℕ),
(x.fst + digit * x.snd, x.snd * 10)) (0, 1) l).snd = 10 ^ l.length,
{ intro l,
induction l with hd tl hl,
{ simp },
{ simp [hl, pow_succ, mul_comm] } },
-- We prove that the parsed list of digits `(lhd :: ltl) : list ℕ` must be of length `m`
-- which is used later when the `parser.nat` fold places `ltl.length` in the exponent.
have hml : ltl.length + 1 = m := by simpa using many1_length_of_done hdl,
-- A simplified `list.length (list.take ...)` expression refers to the minimum of the
-- underlying length and the amount of elements taken. We know that `m ≤ tl.length`, so
-- we provide this auxiliary lemma so that the simplified "take-length" can simplify further
have ltll : min m tl.length = m,
{ -- On the way to proving this, we have to actually show that `m ≤ tl.length`, by showing
-- that since `tl` was a subsequence in `cb`, and was retrieved from `n + 1` to `n + m + 1`,
-- then since `n + m + 1 ≤ cb.size`, we have that `tl` must be at least `m` in length.
simpa [←H.right, ←nat.add_le_to_le_sub _ (hn''.trans_le hn').le, add_comm, add_assoc,
add_left_comm] using hn' },
-- Finally, we rely on the simplifier. We already expressions of `nat.of_digits` on both
-- the LHS and RHS. All that is left to do is to prove that the summand on the LHS is produced
-- by the fold of `nat.of_digits` on the RHS of `hd :: tl`. The `nat.of_digits_append` is used
-- because of the append that forms from the included `list.reverse`. The lengths of the lists
-- are placed in the exponents with `10` as a base, and are combined using `←pow_succ 10`.
-- Any complicated expression about list lengths is further simplified by the auxiliary
-- lemmas we just proved. Finally, we assist the simplifier by rearranging terms with our
-- `n + m + 1 - n = m + 1` proof and `mul_comm`.
simp [this, hpow, nat.of_digits_append, mul_comm, ←pow_succ 10, hml, ltll] },
{ -- Consider the case that `n' ≤ n + 1`. But then since `n < n' ≤ n + 1`, `n' = n + 1`.
have : n' = n + 1 := le_antisymm hn'' (nat.succ_le_of_lt hn),
subst this,
-- This means we have only parsed in a single character, so the resulting parsed in list
-- is explicitly formed from an expression we can construct from `hd`.
use [[hd.to_nat - '0'.to_nat]],
-- Our list expression simplifies nicely because it is a fold over a singleton, so we
-- do not have to supply any auxiliary lemmas for it, other than what we already know about
-- `hd` and the function defined in `parser.nat`. However, we will have to prove that our
-- parse ended because of a good reason: either we are out of bounds or we hit a nonnumeric
-- character.
simp only [many1_eq_done, many_eq_done_nil, digit_eq_fail, natm, and.comm, and.left_comm,
hdigit, true_and, mul_one, nat.of_digits_singleton, list.take, exists_eq_left,
exists_and_distrib_right, nat.add_sub_cancel_left, eq_self_iff_true,
list.reverse_singleton, zero_add, list.foldr, list.map],
-- We take the route of proving that we hit a nonnumeric character, since we already have
-- a hypothesis that says that characters at `n'` and past it are nonnumeric. (Note, by now
-- we have substituted `n + 1` for `n'.
-- We are also asked to provide the error value that our failed parse would report. But
-- `digit_eq_fail` already knows what it is, so we can discharge that with an inline `rfl`.
refine ⟨_, or.inl ⟨rfl, _⟩⟩,
-- The nonnumeric condition looks almost exactly like the hypothesis we already have, so
-- we let the simplifier align them for us
simpa using hb } }
end
end nat
end parser
|
d627a2af5a7e613222c2c097e19ebe27bcfce6dc | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/category_theory/limits/shapes/wide_equalizers.lean | afb10a6c18cd079c9970912862e435595b9534ad | [
"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 | 27,925 | lean | /-
Copyright (c) 2021 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta
-/
import category_theory.epi_mono
import category_theory.limits.has_limits
import category_theory.limits.shapes.equalizers
/-!
# Wide equalizers and wide coequalizers
This file defines wide (co)equalizers as special cases of (co)limits.
A wide equalizer for the family of morphisms `X ⟶ Y` indexed by `J` is the categorical
generalization of the subobject `{a ∈ A | ∀ j₁ j₂, f(j₁, a) = f(j₂, a)}`. Note that if `J` has
fewer than two morphisms this condition is trivial, so some lemmas and definitions assume `J` is
nonempty.
## Main definitions
* `walking_parallel_family` is the indexing category used for wide (co)equalizer diagrams
* `parallel_family` is a functor from `walking_parallel_family` to our category `C`.
* a `trident` is a cone over a parallel family.
* there is really only one interesting morphism in a trident: the arrow from the vertex of the
trident to the domain of f and g. It is called `trident.ι`.
* a `wide_equalizer` is now just a `limit (parallel_family f)`
Each of these has a dual.
## Main statements
* `wide_equalizer.ι_mono` states that every wide_equalizer map is a monomorphism
* `is_iso_limit_cone_parallel_family_of_self` states that the identity on the domain of `f` is an
equalizer of `f` and `f`.
## Implementation notes
As with the other special shapes in the limits library, all the definitions here are given as
`abbreviation`s of the general statements for limits, so all the `simp` lemmas and theorems about
general limits can be used.
## References
* [F. Borceux, *Handbook of Categorical Algebra 1*][borceux-vol1]
-/
noncomputable theory
namespace category_theory.limits
open category_theory
universes w v u u₂
variables {J : Type w}
/-- The type of objects for the diagram indexing a wide (co)equalizer. -/
inductive walking_parallel_family (J : Type w) : Type w
| zero : walking_parallel_family
| one : walking_parallel_family
open walking_parallel_family
instance : decidable_eq (walking_parallel_family J)
| zero zero := is_true rfl
| zero one := is_false (λ t, walking_parallel_family.no_confusion t)
| one zero := is_false (λ t, walking_parallel_family.no_confusion t)
| one one := is_true rfl
instance : inhabited (walking_parallel_family J) := ⟨zero⟩
/-- The type family of morphisms for the diagram indexing a wide (co)equalizer. -/
@[derive decidable_eq] inductive walking_parallel_family.hom (J : Type w) :
walking_parallel_family J → walking_parallel_family J → Type w
| id : Π X : walking_parallel_family.{w} J, walking_parallel_family.hom X X
| line : Π (j : J), walking_parallel_family.hom zero one
/-- Satisfying the inhabited linter -/
instance (J : Type v) : inhabited (walking_parallel_family.hom J zero zero) :=
{ default := hom.id _ }
open walking_parallel_family.hom
/-- Composition of morphisms in the indexing diagram for wide (co)equalizers. -/
def walking_parallel_family.hom.comp :
Π (X Y Z : walking_parallel_family J)
(f : walking_parallel_family.hom J X Y) (g : walking_parallel_family.hom J Y Z),
walking_parallel_family.hom J X Z
| _ _ _ (id _) h := h
| _ _ _ (line j) (id one) := line j.
local attribute [tidy] tactic.case_bash
instance walking_parallel_family.category : small_category (walking_parallel_family J) :=
{ hom := walking_parallel_family.hom J,
id := walking_parallel_family.hom.id,
comp := walking_parallel_family.hom.comp }
@[simp]
lemma walking_parallel_family.hom_id (X : walking_parallel_family J) :
walking_parallel_family.hom.id X = 𝟙 X :=
rfl
variables {C : Type u} [category.{v} C]
variables {X Y : C} (f : J → (X ⟶ Y))
/--
`parallel_family f` is the diagram in `C` consisting of the given family of morphisms, each with
common domain and codomain.
-/
def parallel_family : walking_parallel_family J ⥤ C :=
{ obj := λ x, walking_parallel_family.cases_on x X Y,
map := λ x y h, match x, y, h with
| _, _, (id _) := 𝟙 _
| _, _, (line j) := f j
end,
map_comp' :=
begin
rintro _ _ _ ⟨⟩ ⟨⟩;
{ unfold_aux, simp; refl },
end }
@[simp] lemma parallel_family_obj_zero : (parallel_family f).obj zero = X := rfl
@[simp] lemma parallel_family_obj_one : (parallel_family f).obj one = Y := rfl
@[simp] lemma parallel_family_map_left {j : J} : (parallel_family f).map (line j) = f j := rfl
/-- Every functor indexing a wide (co)equalizer is naturally isomorphic (actually, equal) to a
`parallel_family` -/
@[simps]
def diagram_iso_parallel_family (F : walking_parallel_family J ⥤ C) :
F ≅ parallel_family (λ j, F.map (line j)) :=
nat_iso.of_components (λ j, eq_to_iso $ by cases j; tidy) $ by tidy
/-- `walking_parallel_pair` as a category is equivalent to a special case of
`walking_parallel_family`. -/
@[simps]
def walking_parallel_family_equiv_walking_parallel_pair :
walking_parallel_family.{w} (ulift bool) ≌ walking_parallel_pair :=
{ functor := parallel_family
(λ p, cond p.down walking_parallel_pair_hom.left walking_parallel_pair_hom.right),
inverse := parallel_pair (line (ulift.up tt)) (line (ulift.up ff)),
unit_iso := nat_iso.of_components (λ X, eq_to_iso (by cases X; refl)) (by tidy),
counit_iso := nat_iso.of_components (λ X, eq_to_iso (by cases X; refl)) (by tidy) }
/-- A trident on `f` is just a `cone (parallel_family f)`. -/
abbreviation trident := cone (parallel_family f)
/-- A cotrident on `f` and `g` is just a `cocone (parallel_family f)`. -/
abbreviation cotrident := cocone (parallel_family f)
variables {f}
/-- A trident `t` on the parallel family `f : J → (X ⟶ Y)` consists of two morphisms
`t.π.app zero : t.X ⟶ X` and `t.π.app one : t.X ⟶ Y`. Of these, only the first one is
interesting, and we give it the shorter name `trident.ι t`. -/
abbreviation trident.ι (t : trident f) := t.π.app zero
/-- A cotrident `t` on the parallel family `f : J → (X ⟶ Y)` consists of two morphisms
`t.ι.app zero : X ⟶ t.X` and `t.ι.app one : Y ⟶ t.X`. Of these, only the second one is
interesting, and we give it the shorter name `cotrident.π t`. -/
abbreviation cotrident.π (t : cotrident f) := t.ι.app one
@[simp] lemma trident.ι_eq_app_zero (t : trident f) : t.ι = t.π.app zero := rfl
@[simp] lemma cotrident.π_eq_app_one (t : cotrident f) : t.π = t.ι.app one := rfl
@[simp, reassoc] lemma trident.app_zero (s : trident f) (j : J) :
s.π.app zero ≫ f j = s.π.app one :=
by rw [←s.w (line j), parallel_family_map_left]
@[simp, reassoc] lemma cotrident.app_one (s : cotrident f) (j : J) :
f j ≫ s.ι.app one = s.ι.app zero :=
by rw [←s.w (line j), parallel_family_map_left]
/--
A trident on `f : J → (X ⟶ Y)` is determined by the morphism `ι : P ⟶ X` satisfying
`∀ j₁ j₂, ι ≫ f j₁ = ι ≫ f j₂`.
-/
@[simps]
def trident.of_ι [nonempty J] {P : C} (ι : P ⟶ X) (w : ∀ j₁ j₂, ι ≫ f j₁ = ι ≫ f j₂) :
trident f :=
{ X := P,
π :=
{ app := λ X, walking_parallel_family.cases_on X ι (ι ≫ f (classical.arbitrary J)),
naturality' := λ i j f,
begin
dsimp,
cases f with _ k,
{ simp },
{ simp [w (classical.arbitrary J) k] },
end } }
/--
A cotrident on `f : J → (X ⟶ Y)` is determined by the morphism `π : Y ⟶ P` satisfying
`∀ j₁ j₂, f j₁ ≫ π = f j₂ ≫ π`.
-/
@[simps]
def cotrident.of_π [nonempty J] {P : C} (π : Y ⟶ P) (w : ∀ j₁ j₂, f j₁ ≫ π = f j₂ ≫ π) :
cotrident f :=
{ X := P,
ι :=
{ app := λ X, walking_parallel_family.cases_on X (f (classical.arbitrary J) ≫ π) π,
naturality' := λ i j f,
begin
dsimp,
cases f with _ k,
{ simp },
{ simp [w (classical.arbitrary J) k] }
end } } -- See note [dsimp, simp]
lemma trident.ι_of_ι [nonempty J] {P : C} (ι : P ⟶ X) (w : ∀ j₁ j₂, ι ≫ f j₁ = ι ≫ f j₂) :
(trident.of_ι ι w).ι = ι := rfl
lemma cotrident.π_of_π [nonempty J] {P : C} (π : Y ⟶ P) (w : ∀ j₁ j₂, f j₁ ≫ π = f j₂ ≫ π) :
(cotrident.of_π π w).π = π := rfl
@[reassoc]
lemma trident.condition (j₁ j₂ : J) (t : trident f) : t.ι ≫ f j₁ = t.ι ≫ f j₂ :=
by rw [t.app_zero, t.app_zero]
@[reassoc]
lemma cotrident.condition (j₁ j₂ : J) (t : cotrident f) : f j₁ ≫ t.π = f j₂ ≫ t.π :=
by rw [t.app_one, t.app_one]
/-- To check whether two maps are equalized by both maps of a trident, it suffices to check it for
the first map -/
lemma trident.equalizer_ext [nonempty J] (s : trident f) {W : C} {k l : W ⟶ s.X}
(h : k ≫ s.ι = l ≫ s.ι) : ∀ (j : walking_parallel_family J),
k ≫ s.π.app j = l ≫ s.π.app j
| zero := h
| one := by rw [←s.app_zero (classical.arbitrary J), reassoc_of h]
/-- To check whether two maps are coequalized by both maps of a cotrident, it suffices to check it
for the second map -/
lemma cotrident.coequalizer_ext [nonempty J] (s : cotrident f) {W : C} {k l : s.X ⟶ W}
(h : s.π ≫ k = s.π ≫ l) : ∀ (j : walking_parallel_family J),
s.ι.app j ≫ k = s.ι.app j ≫ l
| zero := by rw [←s.app_one (classical.arbitrary J), category.assoc, category.assoc, h]
| one := h
lemma trident.is_limit.hom_ext [nonempty J] {s : trident f} (hs : is_limit s)
{W : C} {k l : W ⟶ s.X} (h : k ≫ s.ι = l ≫ s.ι) :
k = l :=
hs.hom_ext $ trident.equalizer_ext _ h
lemma cotrident.is_colimit.hom_ext [nonempty J] {s : cotrident f} (hs : is_colimit s)
{W : C} {k l : s.X ⟶ W} (h : s.π ≫ k = s.π ≫ l) :
k = l :=
hs.hom_ext $ cotrident.coequalizer_ext _ h
/-- If `s` is a limit trident over `f`, then a morphism `k : W ⟶ X` satisfying
`∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂` induces a morphism `l : W ⟶ s.X` such that
`l ≫ trident.ι s = k`. -/
def trident.is_limit.lift' [nonempty J] {s : trident f} (hs : is_limit s) {W : C} (k : W ⟶ X)
(h : ∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂) :
{l : W ⟶ s.X // l ≫ trident.ι s = k} :=
⟨hs.lift $ trident.of_ι _ h, hs.fac _ _⟩
/-- If `s` is a colimit cotrident over `f`, then a morphism `k : Y ⟶ W` satisfying
`∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k` induces a morphism `l : s.X ⟶ W` such that
`cotrident.π s ≫ l = k`. -/
def cotrident.is_colimit.desc' [nonempty J] {s : cotrident f} (hs : is_colimit s) {W : C}
(k : Y ⟶ W) (h : ∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k) :
{l : s.X ⟶ W // cotrident.π s ≫ l = k} :=
⟨hs.desc $ cotrident.of_π _ h, hs.fac _ _⟩
/-- This is a slightly more convenient method to verify that a trident is a limit cone. It
only asks for a proof of facts that carry any mathematical content -/
def trident.is_limit.mk [nonempty J] (t : trident f)
(lift : Π (s : trident f), s.X ⟶ t.X)
(fac : ∀ (s : trident f), lift s ≫ t.ι = s.ι)
(uniq : ∀ (s : trident f) (m : s.X ⟶ t.X)
(w : ∀ j : walking_parallel_family J, m ≫ t.π.app j = s.π.app j), m = lift s) :
is_limit t :=
{ lift := lift,
fac' := λ s j, walking_parallel_family.cases_on j (fac s)
(by rw [←t.w (line (classical.arbitrary J)), reassoc_of fac, s.w]),
uniq' := uniq }
/-- This is another convenient method to verify that a trident is a limit cone. It
only asks for a proof of facts that carry any mathematical content, and allows access to the
same `s` for all parts. -/
def trident.is_limit.mk' [nonempty J] (t : trident f)
(create : Π (s : trident f), {l // l ≫ t.ι = s.ι ∧ ∀ {m}, m ≫ t.ι = s.ι → m = l}) :
is_limit t :=
trident.is_limit.mk t
(λ s, (create s).1)
(λ s, (create s).2.1)
(λ s m w, (create s).2.2 (w zero))
/-- This is a slightly more convenient method to verify that a cotrident is a colimit cocone. It
only asks for a proof of facts that carry any mathematical content -/
def cotrident.is_colimit.mk [nonempty J] (t : cotrident f)
(desc : Π (s : cotrident f), t.X ⟶ s.X)
(fac : ∀ (s : cotrident f), t.π ≫ desc s = s.π)
(uniq : ∀ (s : cotrident f) (m : t.X ⟶ s.X)
(w : ∀ j : walking_parallel_family J, t.ι.app j ≫ m = s.ι.app j), m = desc s) :
is_colimit t :=
{ desc := desc,
fac' := λ s j, walking_parallel_family.cases_on j
(by rw [←t.w_assoc (line (classical.arbitrary J)), fac, s.w]) (fac s),
uniq' := uniq }
/-- This is another convenient method to verify that a cotrident is a colimit cocone. It
only asks for a proof of facts that carry any mathematical content, and allows access to the
same `s` for all parts. -/
def cotrident.is_colimit.mk' [nonempty J] (t : cotrident f)
(create : Π (s : cotrident f), {l : t.X ⟶ s.X // t.π ≫ l = s.π ∧ ∀ {m}, t.π ≫ m = s.π → m = l}) :
is_colimit t :=
cotrident.is_colimit.mk t
(λ s, (create s).1)
(λ s, (create s).2.1)
(λ s m w, (create s).2.2 (w one))
/--
Given a limit cone for the family `f : J → (X ⟶ Y)`, for any `Z`, morphisms from `Z` to its point
are in bijection with morphisms `h : Z ⟶ X` such that `∀ j₁ j₂, h ≫ f j₁ = h ≫ f j₂`.
Further, this bijection is natural in `Z`: see `trident.is_limit.hom_iso_natural`.
-/
@[simps]
def trident.is_limit.hom_iso [nonempty J] {t : trident f} (ht : is_limit t) (Z : C) :
(Z ⟶ t.X) ≃ {h : Z ⟶ X // ∀ j₁ j₂, h ≫ f j₁ = h ≫ f j₂} :=
{ to_fun := λ k, ⟨k ≫ t.ι, by simp⟩,
inv_fun := λ h, (trident.is_limit.lift' ht _ h.prop).1,
left_inv := λ k, trident.is_limit.hom_ext ht (trident.is_limit.lift' _ _ _).prop,
right_inv := λ h, subtype.ext (trident.is_limit.lift' ht _ _).prop }
/-- The bijection of `trident.is_limit.hom_iso` is natural in `Z`. -/
lemma trident.is_limit.hom_iso_natural [nonempty J] {t : trident f} (ht : is_limit t)
{Z Z' : C} (q : Z' ⟶ Z) (k : Z ⟶ t.X) :
(trident.is_limit.hom_iso ht _ (q ≫ k) : Z' ⟶ X) =
q ≫ (trident.is_limit.hom_iso ht _ k : Z ⟶ X) :=
category.assoc _ _ _
/--
Given a colimit cocone for the family `f : J → (X ⟶ Y)`, for any `Z`, morphisms from the cocone
point to `Z` are in bijection with morphisms `h : Z ⟶ X` such that
`∀ j₁ j₂, f j₁ ≫ h = f j₂ ≫ h`. Further, this bijection is natural in `Z`: see
`cotrident.is_colimit.hom_iso_natural`.
-/
@[simps]
def cotrident.is_colimit.hom_iso [nonempty J] {t : cotrident f} (ht : is_colimit t) (Z : C) :
(t.X ⟶ Z) ≃ {h : Y ⟶ Z // ∀ j₁ j₂, f j₁ ≫ h = f j₂ ≫ h} :=
{ to_fun := λ k, ⟨t.π ≫ k, by simp⟩,
inv_fun := λ h, (cotrident.is_colimit.desc' ht _ h.prop).1,
left_inv := λ k, cotrident.is_colimit.hom_ext ht (cotrident.is_colimit.desc' _ _ _).prop,
right_inv := λ h, subtype.ext (cotrident.is_colimit.desc' ht _ _).prop }
/-- The bijection of `cotrident.is_colimit.hom_iso` is natural in `Z`. -/
lemma cotrident.is_colimit.hom_iso_natural [nonempty J] {t : cotrident f} {Z Z' : C}
(q : Z ⟶ Z') (ht : is_colimit t) (k : t.X ⟶ Z) :
(cotrident.is_colimit.hom_iso ht _ (k ≫ q) : Y ⟶ Z') =
(cotrident.is_colimit.hom_iso ht _ k : Y ⟶ Z) ≫ q :=
(category.assoc _ _ _).symm
/-- This is a helper construction that can be useful when verifying that a category has certain wide
equalizers. Given `F : walking_parallel_family ⥤ C`, which is really the same as
`parallel_family (λ j, F.map (line j))`, and a trident on `λ j, F.map (line j)`, we get a cone
on `F`.
If you're thinking about using this, have a look at
`has_wide_equalizers_of_has_limit_parallel_family`, which you may find to be an easier way of
achieving your goal. -/
def cone.of_trident
{F : walking_parallel_family J ⥤ C} (t : trident (λ j, F.map (line j))) : cone F :=
{ X := t.X,
π :=
{ app := λ X, t.π.app X ≫ eq_to_hom (by tidy),
naturality' := λ j j' g, by { cases g; { dsimp, simp } } } }
/-- This is a helper construction that can be useful when verifying that a category has all
coequalizers. Given `F : walking_parallel_family ⥤ C`, which is really the same as
`parallel_family (λ j, F.map (line j))`, and a cotrident on `λ j, F.map (line j)` we get a
cocone on `F`.
If you're thinking about using this, have a look at
`has_wide_coequalizers_of_has_colimit_parallel_family`, which you may find to be an easier way
of achieving your goal. -/
def cocone.of_cotrident
{F : walking_parallel_family J ⥤ C} (t : cotrident (λ j, F.map (line j))) : cocone F :=
{ X := t.X,
ι :=
{ app := λ X, eq_to_hom (by tidy) ≫ t.ι.app X,
naturality' := λ j j' g, by { cases g; dsimp; simp [cotrident.app_one t] } } }
@[simp] lemma cone.of_trident_π
{F : walking_parallel_family J ⥤ C} (t : trident (λ j, F.map (line j))) (j) :
(cone.of_trident t).π.app j = t.π.app j ≫ eq_to_hom (by tidy) := rfl
@[simp] lemma cocone.of_cotrident_ι
{F : walking_parallel_family J ⥤ C} (t : cotrident (λ j, F.map (line j))) (j) :
(cocone.of_cotrident t).ι.app j = eq_to_hom (by tidy) ≫ t.ι.app j := rfl
/-- Given `F : walking_parallel_family ⥤ C`, which is really the same as
`parallel_family (λ j, F.map (line j))` and a cone on `F`, we get a trident on
`λ j, F.map (line j)`. -/
def trident.of_cone
{F : walking_parallel_family J ⥤ C} (t : cone F) : trident (λ j, F.map (line j)) :=
{ X := t.X,
π := { app := λ X, t.π.app X ≫ eq_to_hom (by tidy) } }
/-- Given `F : walking_parallel_family ⥤ C`, which is really the same as
`parallel_family (F.map left) (F.map right)` and a cocone on `F`, we get a cotrident on
`λ j, F.map (line j)`. -/
def cotrident.of_cocone
{F : walking_parallel_family J ⥤ C} (t : cocone F) : cotrident (λ j, F.map (line j)) :=
{ X := t.X,
ι := { app := λ X, eq_to_hom (by tidy) ≫ t.ι.app X } }
@[simp] lemma trident.of_cone_π {F : walking_parallel_family J ⥤ C} (t : cone F) (j) :
(trident.of_cone t).π.app j = t.π.app j ≫ eq_to_hom (by tidy) := rfl
@[simp] lemma cotrident.of_cocone_ι {F : walking_parallel_family J ⥤ C} (t : cocone F) (j) :
(cotrident.of_cocone t).ι.app j = eq_to_hom (by tidy) ≫ t.ι.app j := rfl
/--
Helper function for constructing morphisms between wide equalizer tridents.
-/
@[simps]
def trident.mk_hom [nonempty J] {s t : trident f} (k : s.X ⟶ t.X) (w : k ≫ t.ι = s.ι) : s ⟶ t :=
{ hom := k,
w' :=
begin
rintro ⟨_|_⟩,
{ exact w },
{ simpa using w =≫ f (classical.arbitrary J) },
end }
/--
To construct an isomorphism between tridents,
it suffices to give an isomorphism between the cone points
and check that it commutes with the `ι` morphisms.
-/
@[simps]
def trident.ext [nonempty J] {s t : trident f} (i : s.X ≅ t.X) (w : i.hom ≫ t.ι = s.ι) : s ≅ t :=
{ hom := trident.mk_hom i.hom w,
inv := trident.mk_hom i.inv (by rw [← w, iso.inv_hom_id_assoc]) }
/--
Helper function for constructing morphisms between coequalizer cotridents.
-/
@[simps]
def cotrident.mk_hom [nonempty J] {s t : cotrident f} (k : s.X ⟶ t.X) (w : s.π ≫ k = t.π) :
s ⟶ t :=
{ hom := k,
w' :=
begin
rintro ⟨_|_⟩,
{ simpa using f (classical.arbitrary J) ≫= w },
{ exact w },
end }
/--
To construct an isomorphism between cotridents,
it suffices to give an isomorphism between the cocone points
and check that it commutes with the `π` morphisms.
-/
def cotrident.ext [nonempty J] {s t : cotrident f} (i : s.X ≅ t.X) (w : s.π ≫ i.hom = t.π) :
s ≅ t :=
{ hom := cotrident.mk_hom i.hom w,
inv := cotrident.mk_hom i.inv (by rw [iso.comp_inv_eq, w]) }
variables (f)
section
/--
`has_wide_equalizer f` represents a particular choice of limiting cone for the parallel family of
morphisms `f`.
-/
abbreviation has_wide_equalizer := has_limit (parallel_family f)
variables [has_wide_equalizer f]
/-- If a wide equalizer of `f` exists, we can access an arbitrary choice of such by
saying `wide_equalizer f`. -/
abbreviation wide_equalizer : C := limit (parallel_family f)
/-- If a wide equalizer of `f` exists, we can access the inclusion `wide_equalizer f ⟶ X` by
saying `wide_equalizer.ι f`. -/
abbreviation wide_equalizer.ι : wide_equalizer f ⟶ X :=
limit.π (parallel_family f) zero
/--
A wide equalizer cone for a parallel family `f`.
-/
abbreviation wide_equalizer.trident : trident f := limit.cone (parallel_family f)
@[simp] lemma wide_equalizer.trident_ι :
(wide_equalizer.trident f).ι = wide_equalizer.ι f := rfl
@[simp] lemma wide_equalizer.trident_π_app_zero :
(wide_equalizer.trident f).π.app zero = wide_equalizer.ι f := rfl
@[reassoc] lemma wide_equalizer.condition (j₁ j₂ : J) :
wide_equalizer.ι f ≫ f j₁ = wide_equalizer.ι f ≫ f j₂ :=
trident.condition j₁ j₂ $ limit.cone $ parallel_family f
/-- The wide_equalizer built from `wide_equalizer.ι f` is limiting. -/
def wide_equalizer_is_wide_equalizer [nonempty J] :
is_limit (trident.of_ι (wide_equalizer.ι f) (wide_equalizer.condition f)) :=
is_limit.of_iso_limit (limit.is_limit _) (trident.ext (iso.refl _) (by tidy))
variables {f}
/-- A morphism `k : W ⟶ X` satisfying `∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂` factors through the
wide equalizer of `f` via `wide_equalizer.lift : W ⟶ wide_equalizer f`. -/
abbreviation wide_equalizer.lift [nonempty J] {W : C} (k : W ⟶ X)
(h : ∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂) :
W ⟶ wide_equalizer f :=
limit.lift (parallel_family f) (trident.of_ι k h)
@[simp, reassoc]
lemma wide_equalizer.lift_ι [nonempty J] {W : C} (k : W ⟶ X) (h : ∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂) :
wide_equalizer.lift k h ≫ wide_equalizer.ι f = k :=
limit.lift_π _ _
/-- A morphism `k : W ⟶ X` satisfying `∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂` induces a morphism
`l : W ⟶ wide_equalizer f` satisfying `l ≫ wide_equalizer.ι f = k`. -/
def wide_equalizer.lift' [nonempty J] {W : C} (k : W ⟶ X) (h : ∀ j₁ j₂, k ≫ f j₁ = k ≫ f j₂) :
{l : W ⟶ wide_equalizer f // l ≫ wide_equalizer.ι f = k} :=
⟨wide_equalizer.lift k h, wide_equalizer.lift_ι _ _⟩
/-- Two maps into a wide equalizer are equal if they are are equal when composed with the wide
equalizer map. -/
@[ext] lemma wide_equalizer.hom_ext [nonempty J] {W : C} {k l : W ⟶ wide_equalizer f}
(h : k ≫ wide_equalizer.ι f = l ≫ wide_equalizer.ι f) : k = l :=
trident.is_limit.hom_ext (limit.is_limit _) h
/-- A wide equalizer morphism is a monomorphism -/
instance wide_equalizer.ι_mono [nonempty J] : mono (wide_equalizer.ι f) :=
{ right_cancellation := λ Z h k w, wide_equalizer.hom_ext w }
end
section
variables {f}
/-- The wide equalizer morphism in any limit cone is a monomorphism. -/
lemma mono_of_is_limit_parallel_family [nonempty J] {c : cone (parallel_family f)}
(i : is_limit c) :
mono (trident.ι c) :=
{ right_cancellation := λ Z h k w, trident.is_limit.hom_ext i w }
end
section
/--
`has_wide_coequalizer f g` represents a particular choice of colimiting cocone
for the parallel family of morphisms `f`.
-/
abbreviation has_wide_coequalizer := has_colimit (parallel_family f)
variables [has_wide_coequalizer f]
/-- If a wide coequalizer of `f`, we can access an arbitrary choice of such by
saying `wide_coequalizer f`. -/
abbreviation wide_coequalizer : C := colimit (parallel_family f)
/-- If a wide_coequalizer of `f` exists, we can access the corresponding projection by
saying `wide_coequalizer.π f`. -/
abbreviation wide_coequalizer.π : Y ⟶ wide_coequalizer f :=
colimit.ι (parallel_family f) one
/--
An arbitrary choice of coequalizer cocone for a parallel family `f`.
-/
abbreviation wide_coequalizer.cotrident : cotrident f := colimit.cocone (parallel_family f)
@[simp] lemma wide_coequalizer.cotrident_π :
(wide_coequalizer.cotrident f).π = wide_coequalizer.π f := rfl
@[simp] lemma wide_coequalizer.cotrident_ι_app_one :
(wide_coequalizer.cotrident f).ι.app one = wide_coequalizer.π f := rfl
@[reassoc] lemma wide_coequalizer.condition (j₁ j₂ : J) :
f j₁ ≫ wide_coequalizer.π f = f j₂ ≫ wide_coequalizer.π f :=
cotrident.condition j₁ j₂ $ colimit.cocone $ parallel_family f
/-- The cotrident built from `wide_coequalizer.π f` is colimiting. -/
def wide_coequalizer_is_wide_coequalizer [nonempty J] :
is_colimit (cotrident.of_π (wide_coequalizer.π f) (wide_coequalizer.condition f)) :=
is_colimit.of_iso_colimit (colimit.is_colimit _) (cotrident.ext (iso.refl _) (by tidy))
variables {f}
/-- Any morphism `k : Y ⟶ W` satisfying `∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k` factors through the
wide coequalizer of `f` via `wide_coequalizer.desc : wide_coequalizer f ⟶ W`. -/
abbreviation wide_coequalizer.desc [nonempty J] {W : C} (k : Y ⟶ W)
(h : ∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k) :
wide_coequalizer f ⟶ W :=
colimit.desc (parallel_family f) (cotrident.of_π k h)
@[simp, reassoc]
lemma wide_coequalizer.π_desc [nonempty J] {W : C} (k : Y ⟶ W) (h : ∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k) :
wide_coequalizer.π f ≫ wide_coequalizer.desc k h = k :=
colimit.ι_desc _ _
/-- Any morphism `k : Y ⟶ W` satisfying `∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k` induces a morphism
`l : wide_coequalizer f ⟶ W` satisfying `wide_coequalizer.π ≫ g = l`. -/
def wide_coequalizer.desc' [nonempty J] {W : C} (k : Y ⟶ W) (h : ∀ j₁ j₂, f j₁ ≫ k = f j₂ ≫ k) :
{l : wide_coequalizer f ⟶ W // wide_coequalizer.π f ≫ l = k} :=
⟨wide_coequalizer.desc k h, wide_coequalizer.π_desc _ _⟩
/-- Two maps from a wide coequalizer are equal if they are equal when composed with the wide
coequalizer map -/
@[ext] lemma wide_coequalizer.hom_ext [nonempty J] {W : C} {k l : wide_coequalizer f ⟶ W}
(h : wide_coequalizer.π f ≫ k = wide_coequalizer.π f ≫ l) : k = l :=
cotrident.is_colimit.hom_ext (colimit.is_colimit _) h
/-- A wide coequalizer morphism is an epimorphism -/
instance wide_coequalizer.π_epi [nonempty J] : epi (wide_coequalizer.π f) :=
{ left_cancellation := λ Z h k w, wide_coequalizer.hom_ext w }
end
section
variables {f}
/-- The wide coequalizer morphism in any colimit cocone is an epimorphism. -/
lemma epi_of_is_colimit_parallel_family [nonempty J] {c : cocone (parallel_family f)}
(i : is_colimit c) :
epi (c.ι.app one) :=
{ left_cancellation := λ Z h k w, cotrident.is_colimit.hom_ext i w }
end
variables (C)
/-- `has_wide_equalizers` represents a choice of wide equalizer for every family of morphisms -/
abbreviation has_wide_equalizers := Π J, has_limits_of_shape (walking_parallel_family.{w} J) C
/-- `has_wide_coequalizers` represents a choice of wide coequalizer for every family of morphisms -/
abbreviation has_wide_coequalizers := Π J, has_colimits_of_shape (walking_parallel_family.{w} J) C
/-- If `C` has all limits of diagrams `parallel_family f`, then it has all wide equalizers -/
lemma has_wide_equalizers_of_has_limit_parallel_family
[Π {J : Type w} {X Y : C} {f : J → (X ⟶ Y)}, has_limit (parallel_family f)] :
has_wide_equalizers.{w} C :=
λ J, { has_limit := λ F, has_limit_of_iso (diagram_iso_parallel_family F).symm }
/-- If `C` has all colimits of diagrams `parallel_family f`, then it has all wide coequalizers -/
lemma has_wide_coequalizers_of_has_colimit_parallel_family
[Π {J : Type w} {X Y : C} {f : J → (X ⟶ Y)}, has_colimit (parallel_family f)] :
has_wide_coequalizers.{w} C :=
λ J, { has_colimit := λ F, has_colimit_of_iso (diagram_iso_parallel_family F) }
@[priority 10]
instance has_equalizers_of_has_wide_equalizers [has_wide_equalizers.{w} C] : has_equalizers C :=
has_limits_of_shape_of_equivalence.{w} walking_parallel_family_equiv_walking_parallel_pair
@[priority 10]
instance has_coequalizers_of_has_wide_coequalizers [has_wide_coequalizers.{w} C] :
has_coequalizers C :=
has_colimits_of_shape_of_equivalence.{w} walking_parallel_family_equiv_walking_parallel_pair
end category_theory.limits
|
e1f8b44c7583908aac17f7a847636535f052be4d | 9dc8cecdf3c4634764a18254e94d43da07142918 | /src/data/fintype/card.lean | 8d5532a2a5ee693010ca0a64df7b7cd4bf7d124f | [
"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 | 9,827 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import data.fintype.basic
import algebra.big_operators.ring
import algebra.big_operators.option
/-!
Results about "big operations" over a `fintype`, and consequent
results about cardinalities of certain types.
## Implementation note
This content had previously been in `data.fintype.basic`, but was moved here to avoid
requiring `algebra.big_operators` (and hence many other imports) as a
dependency of `fintype`.
However many of the results here really belong in `algebra.big_operators.basic`
and should be moved at some point.
-/
universes u v
variables {α : Type*} {β : Type*} {γ : Type*}
open_locale big_operators
namespace fintype
@[to_additive]
lemma prod_bool [comm_monoid α] (f : bool → α) : ∏ b, f b = f tt * f ff := by simp
lemma card_eq_sum_ones {α} [fintype α] : fintype.card α = ∑ a : α, 1 :=
finset.card_eq_sum_ones _
section
open finset
variables {ι : Type*} [decidable_eq ι] [fintype ι]
@[to_additive]
lemma prod_extend_by_one [comm_monoid α] (s : finset ι) (f : ι → α) :
∏ i, (if i ∈ s then f i else 1) = ∏ i in s, f i :=
by rw [← prod_filter, filter_mem_eq_inter, univ_inter]
end
section
variables {M : Type*} [fintype α] [comm_monoid M]
@[to_additive]
lemma prod_eq_one (f : α → M) (h : ∀ a, f a = 1) :
(∏ a, f a) = 1 :=
finset.prod_eq_one $ λ a ha, h a
@[to_additive]
lemma prod_congr (f g : α → M) (h : ∀ a, f a = g a) :
(∏ a, f a) = ∏ a, g a :=
finset.prod_congr rfl $ λ a ha, h a
@[to_additive]
lemma prod_eq_single {f : α → M} (a : α) (h : ∀ x ≠ a, f x = 1) :
(∏ x, f x) = f a :=
finset.prod_eq_single a (λ x _ hx, h x hx) $ λ ha, (ha (finset.mem_univ a)).elim
@[to_additive]
lemma prod_eq_mul {f : α → M} (a b : α) (h₁ : a ≠ b) (h₂ : ∀ x, x ≠ a ∧ x ≠ b → f x = 1) :
(∏ x, f x) = (f a) * (f b) :=
begin
apply finset.prod_eq_mul a b h₁ (λ x _ hx, h₂ x hx);
exact λ hc, (hc (finset.mem_univ _)).elim
end
/-- If a product of a `finset` of a subsingleton type has a given
value, so do the terms in that product. -/
@[to_additive "If a sum of a `finset` of a subsingleton type has a given
value, so do the terms in that sum."]
lemma eq_of_subsingleton_of_prod_eq {ι : Type*} [subsingleton ι] {s : finset ι}
{f : ι → M} {b : M} (h : ∏ i in s, f i = b) : ∀ i ∈ s, f i = b :=
finset.eq_of_card_le_one_of_prod_eq (finset.card_le_one_of_subsingleton s) h
end
end fintype
open finset
section
variables {M : Type*} [fintype α] [comm_monoid M]
@[simp, to_additive]
lemma fintype.prod_option (f : option α → M) : ∏ i, f i = f none * ∏ i, f (some i) :=
finset.prod_insert_none f univ
end
open finset
@[simp] theorem fintype.card_sigma {α : Type*} (β : α → Type*)
[fintype α] [∀ a, fintype (β a)] :
fintype.card (sigma β) = ∑ a, fintype.card (β a) :=
card_sigma _ _
@[simp] lemma finset.card_pi [decidable_eq α] {δ : α → Type*}
(s : finset α) (t : Π a, finset (δ a)) :
(s.pi t).card = ∏ a in s, card (t a) :=
multiset.card_pi _ _
@[simp] lemma fintype.card_pi_finset [decidable_eq α] [fintype α]
{δ : α → Type*} (t : Π a, finset (δ a)) :
(fintype.pi_finset t).card = ∏ a, card (t a) :=
by simp [fintype.pi_finset, card_map]
@[simp] lemma fintype.card_pi {β : α → Type*} [decidable_eq α] [fintype α]
[f : Π a, fintype (β a)] : fintype.card (Π a, β a) = ∏ a, fintype.card (β a) :=
fintype.card_pi_finset _
-- FIXME ouch, this should be in the main file.
@[simp] lemma fintype.card_fun [decidable_eq α] [fintype α] [fintype β] :
fintype.card (α → β) = fintype.card β ^ fintype.card α :=
by rw [fintype.card_pi, finset.prod_const]; refl
@[simp] lemma card_vector [fintype α] (n : ℕ) :
fintype.card (vector α n) = fintype.card α ^ n :=
by rw fintype.of_equiv_card; simp
@[simp, to_additive]
lemma finset.prod_attach_univ [fintype α] [comm_monoid β] (f : {a : α // a ∈ @univ α _} → β) :
∏ x in univ.attach, f x = ∏ x, f ⟨x, (mem_univ _)⟩ :=
fintype.prod_equiv (equiv.subtype_univ_equiv (λ x, mem_univ _)) _ _ (λ x, by simp)
/-- Taking a product over `univ.pi t` is the same as taking the product over `fintype.pi_finset t`.
`univ.pi t` and `fintype.pi_finset t` are essentially the same `finset`, but differ
in the type of their element, `univ.pi t` is a `finset (Π a ∈ univ, t a)` and
`fintype.pi_finset t` is a `finset (Π a, t a)`. -/
@[to_additive "Taking a sum over `univ.pi t` is the same as taking the sum over
`fintype.pi_finset t`. `univ.pi t` and `fintype.pi_finset t` are essentially the same `finset`,
but differ in the type of their element, `univ.pi t` is a `finset (Π a ∈ univ, t a)` and
`fintype.pi_finset t` is a `finset (Π a, t a)`."]
lemma finset.prod_univ_pi [decidable_eq α] [fintype α] [comm_monoid β]
{δ : α → Type*} {t : Π (a : α), finset (δ a)}
(f : (Π (a : α), a ∈ (univ : finset α) → δ a) → β) :
∏ x in univ.pi t, f x = ∏ x in fintype.pi_finset t, f (λ a _, x a) :=
prod_bij (λ x _ a, x a (mem_univ _))
(by simp)
(by simp)
(by simp [function.funext_iff] {contextual := tt})
(λ x hx, ⟨λ a _, x a, by simp * at *⟩)
/-- The product over `univ` of a sum can be written as a sum over the product of sets,
`fintype.pi_finset`. `finset.prod_sum` is an alternative statement when the product is not
over `univ` -/
lemma finset.prod_univ_sum [decidable_eq α] [fintype α] [comm_semiring β] {δ : α → Type u_1}
[Π (a : α), decidable_eq (δ a)] {t : Π (a : α), finset (δ a)}
{f : Π (a : α), δ a → β} :
∏ a, ∑ b in t a, f a b = ∑ p in fintype.pi_finset t, ∏ x, f x (p x) :=
by simp only [finset.prod_attach_univ, prod_sum, finset.sum_univ_pi]
/-- Summing `a^s.card * b^(n-s.card)` over all finite subsets `s` of a fintype of cardinality `n`
gives `(a + b)^n`. The "good" proof involves expanding along all coordinates using the fact that
`x^n` is multilinear, but multilinear maps are only available now over rings, so we give instead
a proof reducing to the usual binomial theorem to have a result over semirings. -/
lemma fintype.sum_pow_mul_eq_add_pow
(α : Type*) [fintype α] {R : Type*} [comm_semiring R] (a b : R) :
∑ s : finset α, a ^ s.card * b ^ (fintype.card α - s.card) =
(a + b) ^ (fintype.card α) :=
finset.sum_pow_mul_eq_add_pow _ _ _
@[to_additive]
lemma function.bijective.prod_comp [fintype α] [fintype β] [comm_monoid γ] {f : α → β}
(hf : function.bijective f) (g : β → γ) :
∏ i, g (f i) = ∏ i, g i :=
fintype.prod_bijective f hf _ _ (λ x, rfl)
@[to_additive]
lemma equiv.prod_comp [fintype α] [fintype β] [comm_monoid γ] (e : α ≃ β) (f : β → γ) :
∏ i, f (e i) = ∏ i, f i :=
e.bijective.prod_comp f
@[to_additive]
lemma equiv.prod_comp' [fintype α] [fintype β] [comm_monoid γ] (e : α ≃ β) (f : α → γ) (g : β → γ)
(h : ∀ i, f i = g (e i)) : ∏ i, f i = ∏ i, g i :=
(show f = g ∘ e, from funext h).symm ▸ e.prod_comp _
/-- It is equivalent to sum a function over `fin n` or `finset.range n`. -/
@[to_additive]
lemma fin.prod_univ_eq_prod_range [comm_monoid α] (f : ℕ → α) (n : ℕ) :
∏ i : fin n, f i = ∏ i in range n, f i :=
calc (∏ i : fin n, f i) = ∏ i : {x // x ∈ range n}, f i :
(fin.equiv_subtype.trans (equiv.subtype_equiv_right (by simp))).prod_comp' _ _ (by simp)
... = ∏ i in range n, f i : by rw [← attach_eq_univ, prod_attach]
@[to_additive]
lemma finset.prod_fin_eq_prod_range [comm_monoid β] {n : ℕ} (c : fin n → β) :
∏ i, c i = ∏ i in finset.range n, if h : i < n then c ⟨i, h⟩ else 1 :=
begin
rw [← fin.prod_univ_eq_prod_range, finset.prod_congr rfl],
rintros ⟨i, hi⟩ _,
simp only [fin.coe_eq_val, hi, dif_pos]
end
@[to_additive]
lemma finset.prod_to_finset_eq_subtype {M : Type*} [comm_monoid M] [fintype α]
(p : α → Prop) [decidable_pred p] (f : α → M) :
∏ a in {x | p x}.to_finset, f a = ∏ a : subtype p, f a :=
by { rw ← finset.prod_subtype, simp }
@[to_additive] lemma finset.prod_fiberwise [decidable_eq β] [fintype β] [comm_monoid γ]
(s : finset α) (f : α → β) (g : α → γ) :
∏ b : β, ∏ a in s.filter (λ a, f a = b), g a = ∏ a in s, g a :=
finset.prod_fiberwise_of_maps_to (λ x _, mem_univ _) _
@[to_additive]
lemma fintype.prod_fiberwise [fintype α] [decidable_eq β] [fintype β] [comm_monoid γ]
(f : α → β) (g : α → γ) :
(∏ b : β, ∏ a : {a // f a = b}, g (a : α)) = ∏ a, g a :=
begin
rw [← (equiv.sigma_fiber_equiv f).prod_comp, ← univ_sigma_univ, prod_sigma],
refl
end
lemma fintype.prod_dite [fintype α] {p : α → Prop} [decidable_pred p]
[comm_monoid β] (f : Π (a : α) (ha : p a), β) (g : Π (a : α) (ha : ¬p a), β) :
(∏ a, dite (p a) (f a) (g a)) = (∏ a : {a // p a}, f a a.2) * (∏ a : {a // ¬p a}, g a a.2) :=
begin
simp only [prod_dite, attach_eq_univ],
congr' 1,
{ convert (equiv.subtype_equiv_right _).prod_comp (λ x : {x // p x}, f x x.2),
simp },
{ convert (equiv.subtype_equiv_right _).prod_comp (λ x : {x // ¬p x}, g x x.2),
simp }
end
section
open finset
variables {α₁ : Type*} {α₂ : Type*} {M : Type*} [fintype α₁] [fintype α₂] [comm_monoid M]
@[to_additive]
lemma fintype.prod_sum_elim (f : α₁ → M) (g : α₂ → M) :
(∏ x, sum.elim f g x) = (∏ a₁, f a₁) * (∏ a₂, g a₂) :=
by { classical, rw [univ_sum_type, prod_sum_elim] }
@[to_additive]
lemma fintype.prod_sum_type (f : α₁ ⊕ α₂ → M) :
(∏ x, f x) = (∏ a₁, f (sum.inl a₁)) * (∏ a₂, f (sum.inr a₂)) :=
by simp only [← fintype.prod_sum_elim, sum.elim_comp_inl_inr]
end
|
a56fbd92a29abe8f20d203d96514efc16d336f22 | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/data/set/intervals/basic.lean | c00cfd830fdefa1f0142cc4ece013b0f58c969d3 | [
"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 | 54,225 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot, Yury Kudryashov, Rémy Degenne
-/
import algebra.order.group
import data.set.basic
import order.rel_iso
import order.order_dual
/-!
# Intervals
In any preorder `α`, we define intervals (which on each side can be either infinite, open, or
closed) using the following naming conventions:
- `i`: infinite
- `o`: open
- `c`: closed
Each interval has the name `I` + letter for left side + letter for right side. For instance,
`Ioc a b` denotes the inverval `(a, b]`.
This file contains these definitions, and basic facts on inclusion, intersection, difference of
intervals (where the precise statements may depend on the properties of the order, in particular
for some statements it should be `linear_order` or `densely_ordered`).
TODO: This is just the beginning; a lot of rules are missing
-/
universe u
namespace set
open set
open order_dual (to_dual of_dual)
section intervals
variables {α : Type u} [preorder α] {a a₁ a₂ b b₁ b₂ x : α}
/-- Left-open right-open interval -/
def Ioo (a b : α) := {x | a < x ∧ x < b}
/-- Left-closed right-open interval -/
def Ico (a b : α) := {x | a ≤ x ∧ x < b}
/-- Left-infinite right-open interval -/
def Iio (a : α) := {x | x < a}
/-- Left-closed right-closed interval -/
def Icc (a b : α) := {x | a ≤ x ∧ x ≤ b}
/-- Left-infinite right-closed interval -/
def Iic (b : α) := {x | x ≤ b}
/-- Left-open right-closed interval -/
def Ioc (a b : α) := {x | a < x ∧ x ≤ b}
/-- Left-closed right-infinite interval -/
def Ici (a : α) := {x | a ≤ x}
/-- Left-open right-infinite interval -/
def Ioi (a : α) := {x | a < x}
lemma Ioo_def (a b : α) : {x | a < x ∧ x < b} = Ioo a b := rfl
lemma Ico_def (a b : α) : {x | a ≤ x ∧ x < b} = Ico a b := rfl
lemma Iio_def (a : α) : {x | x < a} = Iio a := rfl
lemma Icc_def (a b : α) : {x | a ≤ x ∧ x ≤ b} = Icc a b := rfl
lemma Iic_def (b : α) : {x | x ≤ b} = Iic b := rfl
lemma Ioc_def (a b : α) : {x | a < x ∧ x ≤ b} = Ioc a b := rfl
lemma Ici_def (a : α) : {x | a ≤ x} = Ici a := rfl
lemma Ioi_def (a : α) : {x | a < x} = Ioi a := rfl
@[simp] lemma mem_Ioo : x ∈ Ioo a b ↔ a < x ∧ x < b := iff.rfl
@[simp] lemma mem_Ico : x ∈ Ico a b ↔ a ≤ x ∧ x < b := iff.rfl
@[simp] lemma mem_Iio : x ∈ Iio b ↔ x < b := iff.rfl
@[simp] lemma mem_Icc : x ∈ Icc a b ↔ a ≤ x ∧ x ≤ b := iff.rfl
@[simp] lemma mem_Iic : x ∈ Iic b ↔ x ≤ b := iff.rfl
@[simp] lemma mem_Ioc : x ∈ Ioc a b ↔ a < x ∧ x ≤ b := iff.rfl
@[simp] lemma mem_Ici : x ∈ Ici a ↔ a ≤ x := iff.rfl
@[simp] lemma mem_Ioi : x ∈ Ioi a ↔ a < x := iff.rfl
@[simp] lemma left_mem_Ioo : a ∈ Ioo a b ↔ false := by simp [lt_irrefl]
@[simp] lemma left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp [le_refl]
@[simp] lemma left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp [le_refl]
@[simp] lemma left_mem_Ioc : a ∈ Ioc a b ↔ false := by simp [lt_irrefl]
lemma left_mem_Ici : a ∈ Ici a := by simp
@[simp] lemma right_mem_Ioo : b ∈ Ioo a b ↔ false := by simp [lt_irrefl]
@[simp] lemma right_mem_Ico : b ∈ Ico a b ↔ false := by simp [lt_irrefl]
@[simp] lemma right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp [le_refl]
@[simp] lemma right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp [le_refl]
lemma right_mem_Iic : a ∈ Iic a := by simp
@[simp] lemma dual_Ici : Ici (to_dual a) = of_dual ⁻¹' Iic a := rfl
@[simp] lemma dual_Iic : Iic (to_dual a) = of_dual ⁻¹' Ici a := rfl
@[simp] lemma dual_Ioi : Ioi (to_dual a) = of_dual ⁻¹' Iio a := rfl
@[simp] lemma dual_Iio : Iio (to_dual a) = of_dual ⁻¹' Ioi a := rfl
@[simp] lemma dual_Icc : Icc (to_dual a) (to_dual b) = of_dual ⁻¹' Icc b a :=
set.ext $ λ x, and_comm _ _
@[simp] lemma dual_Ioc : Ioc (to_dual a) (to_dual b) = of_dual ⁻¹' Ico b a :=
set.ext $ λ x, and_comm _ _
@[simp] lemma dual_Ico : Ico (to_dual a) (to_dual b) = of_dual ⁻¹' Ioc b a :=
set.ext $ λ x, and_comm _ _
@[simp] lemma dual_Ioo : Ioo (to_dual a) (to_dual b) = of_dual ⁻¹' Ioo b a :=
set.ext $ λ x, and_comm _ _
@[simp] lemma nonempty_Icc : (Icc a b).nonempty ↔ a ≤ b :=
⟨λ ⟨x, hx⟩, hx.1.trans hx.2, λ h, ⟨a, left_mem_Icc.2 h⟩⟩
@[simp] lemma nonempty_Ico : (Ico a b).nonempty ↔ a < b :=
⟨λ ⟨x, hx⟩, hx.1.trans_lt hx.2, λ h, ⟨a, left_mem_Ico.2 h⟩⟩
@[simp] lemma nonempty_Ioc : (Ioc a b).nonempty ↔ a < b :=
⟨λ ⟨x, hx⟩, hx.1.trans_le hx.2, λ h, ⟨b, right_mem_Ioc.2 h⟩⟩
@[simp] lemma nonempty_Ici : (Ici a).nonempty := ⟨a, left_mem_Ici⟩
@[simp] lemma nonempty_Iic : (Iic a).nonempty := ⟨a, right_mem_Iic⟩
@[simp] lemma nonempty_Ioo [densely_ordered α] : (Ioo a b).nonempty ↔ a < b :=
⟨λ ⟨x, ha, hb⟩, ha.trans hb, exists_between⟩
@[simp] lemma nonempty_Ioi [no_top_order α] : (Ioi a).nonempty := no_top a
@[simp] lemma nonempty_Iio [no_bot_order α] : (Iio a).nonempty := no_bot a
lemma nonempty_Icc_subtype (h : a ≤ b) : nonempty (Icc a b) :=
nonempty.to_subtype (nonempty_Icc.mpr h)
lemma nonempty_Ico_subtype (h : a < b) : nonempty (Ico a b) :=
nonempty.to_subtype (nonempty_Ico.mpr h)
lemma nonempty_Ioc_subtype (h : a < b) : nonempty (Ioc a b) :=
nonempty.to_subtype (nonempty_Ioc.mpr h)
/-- An interval `Ici a` is nonempty. -/
instance nonempty_Ici_subtype : nonempty (Ici a) :=
nonempty.to_subtype nonempty_Ici
/-- An interval `Iic a` is nonempty. -/
instance nonempty_Iic_subtype : nonempty (Iic a) :=
nonempty.to_subtype nonempty_Iic
lemma nonempty_Ioo_subtype [densely_ordered α] (h : a < b) : nonempty (Ioo a b) :=
nonempty.to_subtype (nonempty_Ioo.mpr h)
/-- In a `no_top_order`, the intervals `Ioi` are nonempty. -/
instance nonempty_Ioi_subtype [no_top_order α] : nonempty (Ioi a) :=
nonempty.to_subtype nonempty_Ioi
/-- In a `no_bot_order`, the intervals `Iio` are nonempty. -/
instance nonempty_Iio_subtype [no_bot_order α] : nonempty (Iio a) :=
nonempty.to_subtype nonempty_Iio
@[simp] lemma Icc_eq_empty (h : ¬a ≤ b) : Icc a b = ∅ :=
eq_empty_iff_forall_not_mem.2 $ λ x ⟨ha, hb⟩, h (ha.trans hb)
@[simp] lemma Ico_eq_empty (h : ¬a < b) : Ico a b = ∅ :=
eq_empty_iff_forall_not_mem.2 $ λ x ⟨ha, hb⟩, h (ha.trans_lt hb)
@[simp] lemma Ioc_eq_empty (h : ¬a < b) : Ioc a b = ∅ :=
eq_empty_iff_forall_not_mem.2 $ λ x ⟨ha, hb⟩, h (ha.trans_le hb)
@[simp] lemma Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 $ λ x ⟨ha, hb⟩, h (ha.trans hb)
@[simp] lemma Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
@[simp] lemma Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
@[simp] lemma Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
@[simp] lemma Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
@[simp] lemma Ico_self (a : α) : Ico a a = ∅ := Ico_eq_empty $ lt_irrefl _
@[simp] lemma Ioc_self (a : α) : Ioc a a = ∅ := Ioc_eq_empty $ lt_irrefl _
@[simp] lemma Ioo_self (a : α) : Ioo a a = ∅ := Ioo_eq_empty $ lt_irrefl _
lemma Ici_subset_Ici : Ici a ⊆ Ici b ↔ b ≤ a :=
⟨λ h, h $ left_mem_Ici, λ h x hx, h.trans hx⟩
lemma Iic_subset_Iic : Iic a ⊆ Iic b ↔ a ≤ b :=
@Ici_subset_Ici (order_dual α) _ _ _
lemma Ici_subset_Ioi : Ici a ⊆ Ioi b ↔ b < a :=
⟨λ h, h left_mem_Ici, λ h x hx, h.trans_le hx⟩
lemma Iic_subset_Iio : Iic a ⊆ Iio b ↔ a < b :=
⟨λ h, h right_mem_Iic, λ h x hx, lt_of_le_of_lt hx h⟩
lemma Ioo_subset_Ioo (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) :
Ioo a₁ b₁ ⊆ Ioo a₂ b₂ :=
λ x ⟨hx₁, hx₂⟩, ⟨h₁.trans_lt hx₁, hx₂.trans_le h₂⟩
lemma Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b :=
Ioo_subset_Ioo h le_rfl
lemma Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ :=
Ioo_subset_Ioo le_rfl h
lemma Ico_subset_Ico (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) :
Ico a₁ b₁ ⊆ Ico a₂ b₂ :=
λ x ⟨hx₁, hx₂⟩, ⟨h₁.trans hx₁, hx₂.trans_le h₂⟩
lemma Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b :=
Ico_subset_Ico h le_rfl
lemma Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ :=
Ico_subset_Ico le_rfl h
lemma Icc_subset_Icc (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) :
Icc a₁ b₁ ⊆ Icc a₂ b₂ :=
λ x ⟨hx₁, hx₂⟩, ⟨h₁.trans hx₁, le_trans hx₂ h₂⟩
lemma Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b :=
Icc_subset_Icc h le_rfl
lemma Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ :=
Icc_subset_Icc le_rfl h
lemma Icc_subset_Ioo (ha : a₂ < a₁) (hb : b₁ < b₂) :
Icc a₁ b₁ ⊆ Ioo a₂ b₂ :=
λ x hx, ⟨ha.trans_le hx.1, hx.2.trans_lt hb⟩
lemma Icc_subset_Ici_self : Icc a b ⊆ Ici a := λ x, and.left
lemma Icc_subset_Iic_self : Icc a b ⊆ Iic b := λ x, and.right
lemma Ioc_subset_Iic_self : Ioc a b ⊆ Iic b := λ x, and.right
lemma Ioc_subset_Ioc (h₁ : a₂ ≤ a₁) (h₂ : b₁ ≤ b₂) :
Ioc a₁ b₁ ⊆ Ioc a₂ b₂ :=
λ x ⟨hx₁, hx₂⟩, ⟨h₁.trans_lt hx₁, hx₂.trans h₂⟩
lemma Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b :=
Ioc_subset_Ioc h le_rfl
lemma Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ :=
Ioc_subset_Ioc le_rfl h
lemma Ico_subset_Ioo_left (h₁ : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b :=
λ x, and.imp_left h₁.trans_le
lemma Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ :=
λ x, and.imp_right $ λ h', h'.trans_lt h
lemma Icc_subset_Ico_right (h₁ : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ :=
λ x, and.imp_right $ λ h₂, h₂.trans_lt h₁
lemma Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := λ x, and.imp_left le_of_lt
lemma Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := λ x, and.imp_right le_of_lt
lemma Ico_subset_Icc_self : Ico a b ⊆ Icc a b := λ x, and.imp_right le_of_lt
lemma Ioc_subset_Icc_self : Ioc a b ⊆ Icc a b := λ x, and.imp_left le_of_lt
lemma Ioo_subset_Icc_self : Ioo a b ⊆ Icc a b :=
subset.trans Ioo_subset_Ico_self Ico_subset_Icc_self
lemma Ico_subset_Iio_self : Ico a b ⊆ Iio b := λ x, and.right
lemma Ioo_subset_Iio_self : Ioo a b ⊆ Iio b := λ x, and.right
lemma Ioc_subset_Ioi_self : Ioc a b ⊆ Ioi a := λ x, and.left
lemma Ioo_subset_Ioi_self : Ioo a b ⊆ Ioi a := λ x, and.left
lemma Ioi_subset_Ici_self : Ioi a ⊆ Ici a := λ x hx, le_of_lt hx
lemma Iio_subset_Iic_self : Iio a ⊆ Iic a := λ x hx, le_of_lt hx
lemma Ico_subset_Ici_self : Ico a b ⊆ Ici a := λ x, and.left
lemma Icc_subset_Icc_iff (h₁ : a₁ ≤ b₁) :
Icc a₁ b₁ ⊆ Icc a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ :=
⟨λ h, ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩,
λ ⟨h, h'⟩ x ⟨hx, hx'⟩, ⟨h.trans hx, hx'.trans h'⟩⟩
lemma Icc_subset_Ioo_iff (h₁ : a₁ ≤ b₁) :
Icc a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ < a₁ ∧ b₁ < b₂ :=
⟨λ h, ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩,
λ ⟨h, h'⟩ x ⟨hx, hx'⟩, ⟨h.trans_le hx, hx'.trans_lt h'⟩⟩
lemma Icc_subset_Ico_iff (h₁ : a₁ ≤ b₁) :
Icc a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ < b₂ :=
⟨λ h, ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩,
λ ⟨h, h'⟩ x ⟨hx, hx'⟩, ⟨h.trans hx, hx'.trans_lt h'⟩⟩
lemma Icc_subset_Ioc_iff (h₁ : a₁ ≤ b₁) :
Icc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ a₂ < a₁ ∧ b₁ ≤ b₂ :=
⟨λ h, ⟨(h ⟨le_rfl, h₁⟩).1, (h ⟨h₁, le_rfl⟩).2⟩,
λ ⟨h, h'⟩ x ⟨hx, hx'⟩, ⟨h.trans_le hx, hx'.trans h'⟩⟩
lemma Icc_subset_Iio_iff (h₁ : a₁ ≤ b₁) :
Icc a₁ b₁ ⊆ Iio b₂ ↔ b₁ < b₂ :=
⟨λ h, h ⟨h₁, le_rfl⟩, λ h x ⟨hx, hx'⟩, hx'.trans_lt h⟩
lemma Icc_subset_Ioi_iff (h₁ : a₁ ≤ b₁) :
Icc a₁ b₁ ⊆ Ioi a₂ ↔ a₂ < a₁ :=
⟨λ h, h ⟨le_rfl, h₁⟩, λ h x ⟨hx, hx'⟩, h.trans_le hx⟩
lemma Icc_subset_Iic_iff (h₁ : a₁ ≤ b₁) :
Icc a₁ b₁ ⊆ Iic b₂ ↔ b₁ ≤ b₂ :=
⟨λ h, h ⟨h₁, le_rfl⟩, λ h x ⟨hx, hx'⟩, hx'.trans h⟩
lemma Icc_subset_Ici_iff (h₁ : a₁ ≤ b₁) :
Icc a₁ b₁ ⊆ Ici a₂ ↔ a₂ ≤ a₁ :=
⟨λ h, h ⟨le_rfl, h₁⟩, λ h x ⟨hx, hx'⟩, h.trans hx⟩
lemma Icc_ssubset_Icc_left (hI : a₂ ≤ b₂) (ha : a₂ < a₁) (hb : b₁ ≤ b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ :=
(ssubset_iff_of_subset (Icc_subset_Icc (le_of_lt ha) hb)).mpr
⟨a₂, left_mem_Icc.mpr hI, not_and.mpr (λ f g, lt_irrefl a₂ (ha.trans_le f))⟩
lemma Icc_ssubset_Icc_right (hI : a₂ ≤ b₂) (ha : a₂ ≤ a₁) (hb : b₁ < b₂) :
Icc a₁ b₁ ⊂ Icc a₂ b₂ :=
(ssubset_iff_of_subset (Icc_subset_Icc ha (le_of_lt hb))).mpr
⟨b₂, right_mem_Icc.mpr hI, (λ f, lt_irrefl b₁ (hb.trans_le f.2))⟩
/-- If `a ≤ b`, then `(b, +∞) ⊆ (a, +∞)`. In preorders, this is just an implication. If you need
the equivalence in linear orders, use `Ioi_subset_Ioi_iff`. -/
lemma Ioi_subset_Ioi (h : a ≤ b) : Ioi b ⊆ Ioi a :=
λ x hx, h.trans_lt hx
/-- If `a ≤ b`, then `(b, +∞) ⊆ [a, +∞)`. In preorders, this is just an implication. If you need
the equivalence in dense linear orders, use `Ioi_subset_Ici_iff`. -/
lemma Ioi_subset_Ici (h : a ≤ b) : Ioi b ⊆ Ici a :=
subset.trans (Ioi_subset_Ioi h) Ioi_subset_Ici_self
/-- If `a ≤ b`, then `(-∞, a) ⊆ (-∞, b)`. In preorders, this is just an implication. If you need
the equivalence in linear orders, use `Iio_subset_Iio_iff`. -/
lemma Iio_subset_Iio (h : a ≤ b) : Iio a ⊆ Iio b :=
λ x hx, lt_of_lt_of_le hx h
/-- If `a ≤ b`, then `(-∞, a) ⊆ (-∞, b]`. In preorders, this is just an implication. If you need
the equivalence in dense linear orders, use `Iio_subset_Iic_iff`. -/
lemma Iio_subset_Iic (h : a ≤ b) : Iio a ⊆ Iic b :=
subset.trans (Iio_subset_Iio h) Iio_subset_Iic_self
lemma Ici_inter_Iic : Ici a ∩ Iic b = Icc a b := rfl
lemma Ici_inter_Iio : Ici a ∩ Iio b = Ico a b := rfl
lemma Ioi_inter_Iic : Ioi a ∩ Iic b = Ioc a b := rfl
lemma Ioi_inter_Iio : Ioi a ∩ Iio b = Ioo a b := rfl
lemma mem_Icc_of_Ioo (h : x ∈ Ioo a b) : x ∈ Icc a b := Ioo_subset_Icc_self h
lemma mem_Ico_of_Ioo (h : x ∈ Ioo a b) : x ∈ Ico a b := Ioo_subset_Ico_self h
lemma mem_Ioc_of_Ioo (h : x ∈ Ioo a b) : x ∈ Ioc a b := Ioo_subset_Ioc_self h
lemma mem_Icc_of_Ico (h : x ∈ Ico a b) : x ∈ Icc a b := Ico_subset_Icc_self h
lemma mem_Icc_of_Ioc (h : x ∈ Ioc a b) : x ∈ Icc a b := Ioc_subset_Icc_self h
lemma mem_Ici_of_Ioi (h : x ∈ Ioi a) : x ∈ Ici a := Ioi_subset_Ici_self h
lemma mem_Iic_of_Iio (h : x ∈ Iio a) : x ∈ Iic a := Iio_subset_Iic_self h
lemma Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b :=
by rw [←not_nonempty_iff_eq_empty, not_iff_not, nonempty_Icc]
lemma Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b :=
by rw [←not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ico]
lemma Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b :=
by rw [←not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ioc]
lemma Ioo_eq_empty_iff [densely_ordered α] : Ioo a b = ∅ ↔ ¬a < b :=
by rw [←not_nonempty_iff_eq_empty, not_iff_not, nonempty_Ioo]
end intervals
section partial_order
variables {α : Type u} [partial_order α] {a b : α}
@[simp] lemma Icc_self (a : α) : Icc a a = {a} :=
set.ext $ by simp [Icc, le_antisymm_iff, and_comm]
@[simp] lemma Icc_diff_left : Icc a b \ {a} = Ioc a b :=
ext $ λ x, by simp [lt_iff_le_and_ne, eq_comm, and.right_comm]
@[simp] lemma Icc_diff_right : Icc a b \ {b} = Ico a b :=
ext $ λ x, by simp [lt_iff_le_and_ne, and_assoc]
@[simp] lemma Ico_diff_left : Ico a b \ {a} = Ioo a b :=
ext $ λ x, by simp [and.right_comm, ← lt_iff_le_and_ne, eq_comm]
@[simp] lemma Ioc_diff_right : Ioc a b \ {b} = Ioo a b :=
ext $ λ x, by simp [and_assoc, ← lt_iff_le_and_ne]
@[simp] lemma Icc_diff_both : Icc a b \ {a, b} = Ioo a b :=
by rw [insert_eq, ← diff_diff, Icc_diff_left, Ioc_diff_right]
@[simp] lemma Ici_diff_left : Ici a \ {a} = Ioi a :=
ext $ λ x, by simp [lt_iff_le_and_ne, eq_comm]
@[simp] lemma Iic_diff_right : Iic a \ {a} = Iio a :=
ext $ λ x, by simp [lt_iff_le_and_ne]
@[simp] lemma Ico_diff_Ioo_same (h : a < b) : Ico a b \ Ioo a b = {a} :=
by rw [← Ico_diff_left, diff_diff_cancel_left (singleton_subset_iff.2 $ left_mem_Ico.2 h)]
@[simp] lemma Ioc_diff_Ioo_same (h : a < b) : Ioc a b \ Ioo a b = {b} :=
by rw [← Ioc_diff_right, diff_diff_cancel_left (singleton_subset_iff.2 $ right_mem_Ioc.2 h)]
@[simp] lemma Icc_diff_Ico_same (h : a ≤ b) : Icc a b \ Ico a b = {b} :=
by rw [← Icc_diff_right, diff_diff_cancel_left (singleton_subset_iff.2 $ right_mem_Icc.2 h)]
@[simp] lemma Icc_diff_Ioc_same (h : a ≤ b) : Icc a b \ Ioc a b = {a} :=
by rw [← Icc_diff_left, diff_diff_cancel_left (singleton_subset_iff.2 $ left_mem_Icc.2 h)]
@[simp] lemma Icc_diff_Ioo_same (h : a ≤ b) : Icc a b \ Ioo a b = {a, b} :=
by { rw [← Icc_diff_both, diff_diff_cancel_left], simp [insert_subset, h] }
@[simp] lemma Ici_diff_Ioi_same : Ici a \ Ioi a = {a} :=
by rw [← Ici_diff_left, diff_diff_cancel_left (singleton_subset_iff.2 left_mem_Ici)]
@[simp] lemma Iic_diff_Iio_same : Iic a \ Iio a = {a} :=
by rw [← Iic_diff_right, diff_diff_cancel_left (singleton_subset_iff.2 right_mem_Iic)]
@[simp] lemma Ioi_union_left : Ioi a ∪ {a} = Ici a := ext $ λ x, by simp [eq_comm, le_iff_eq_or_lt]
@[simp] lemma Iio_union_right : Iio a ∪ {a} = Iic a := ext $ λ x, le_iff_lt_or_eq.symm
lemma Ioo_union_left (hab : a < b) : Ioo a b ∪ {a} = Ico a b :=
by rw [← Ico_diff_left, diff_union_self,
union_eq_self_of_subset_right (singleton_subset_iff.2 $ left_mem_Ico.2 hab)]
lemma Ioo_union_right (hab : a < b) : Ioo a b ∪ {b} = Ioc a b :=
by simpa only [dual_Ioo, dual_Ico] using Ioo_union_left hab.dual
lemma Ioc_union_left (hab : a ≤ b) : Ioc a b ∪ {a} = Icc a b :=
by rw [← Icc_diff_left, diff_union_self,
union_eq_self_of_subset_right (singleton_subset_iff.2 $ left_mem_Icc.2 hab)]
lemma Ico_union_right (hab : a ≤ b) : Ico a b ∪ {b} = Icc a b :=
by simpa only [dual_Ioc, dual_Icc] using Ioc_union_left hab.dual
lemma mem_Ici_Ioi_of_subset_of_subset {s : set α} (ho : Ioi a ⊆ s) (hc : s ⊆ Ici a) :
s ∈ ({Ici a, Ioi a} : set (set α)) :=
classical.by_cases
(λ h : a ∈ s, or.inl $ subset.antisymm hc $ by rw [← Ioi_union_left, union_subset_iff]; simp *)
(λ h, or.inr $ subset.antisymm (λ x hx, lt_of_le_of_ne (hc hx) (λ heq, h $ heq.symm ▸ hx)) ho)
lemma mem_Iic_Iio_of_subset_of_subset {s : set α} (ho : Iio a ⊆ s) (hc : s ⊆ Iic a) :
s ∈ ({Iic a, Iio a} : set (set α)) :=
@mem_Ici_Ioi_of_subset_of_subset (order_dual α) _ a s ho hc
lemma mem_Icc_Ico_Ioc_Ioo_of_subset_of_subset {s : set α} (ho : Ioo a b ⊆ s) (hc : s ⊆ Icc a b) :
s ∈ ({Icc a b, Ico a b, Ioc a b, Ioo a b} : set (set α)) :=
begin
classical,
by_cases ha : a ∈ s; by_cases hb : b ∈ s,
{ refine or.inl (subset.antisymm hc _),
rwa [← Ico_diff_left, diff_singleton_subset_iff, insert_eq_of_mem ha,
← Icc_diff_right, diff_singleton_subset_iff, insert_eq_of_mem hb] at ho },
{ refine (or.inr $ or.inl $ subset.antisymm _ _),
{ rw [← Icc_diff_right],
exact subset_diff_singleton hc hb },
{ rwa [← Ico_diff_left, diff_singleton_subset_iff, insert_eq_of_mem ha] at ho } },
{ refine (or.inr $ or.inr $ or.inl $ subset.antisymm _ _),
{ rw [← Icc_diff_left],
exact subset_diff_singleton hc ha },
{ rwa [← Ioc_diff_right, diff_singleton_subset_iff, insert_eq_of_mem hb] at ho } },
{ refine (or.inr $ or.inr $ or.inr $ subset.antisymm _ ho),
rw [← Ico_diff_left, ← Icc_diff_right],
apply_rules [subset_diff_singleton] }
end
lemma mem_Ioo_or_eq_endpoints_of_mem_Icc {x : α} (hmem : x ∈ Icc a b) :
x = a ∨ x = b ∨ x ∈ Ioo a b :=
begin
rw [mem_Icc, le_iff_lt_or_eq, le_iff_lt_or_eq] at hmem,
rcases hmem with ⟨hxa | hxa, hxb | hxb⟩,
{ exact or.inr (or.inr ⟨hxa, hxb⟩) },
{ exact or.inr (or.inl hxb) },
all_goals { exact or.inl hxa.symm }
end
lemma mem_Ioo_or_eq_left_of_mem_Ico {x : α} (hmem : x ∈ Ico a b) :
x = a ∨ x ∈ Ioo a b :=
begin
rw [mem_Ico, le_iff_lt_or_eq] at hmem,
rcases hmem with ⟨hxa | hxa, hxb⟩,
{ exact or.inr ⟨hxa, hxb⟩ },
{ exact or.inl hxa.symm }
end
lemma mem_Ioo_or_eq_right_of_mem_Ioc {x : α} (hmem : x ∈ Ioc a b) :
x = b ∨ x ∈ Ioo a b :=
begin
have := @mem_Ioo_or_eq_left_of_mem_Ico _ _ (to_dual b) (to_dual a) (to_dual x),
rw [dual_Ioo, dual_Ico] at this,
exact this hmem
end
lemma Ici_singleton_of_top {a : α} (h_top : ∀ x, x ≤ a) : Ici a = {a} :=
begin
ext,
exact ⟨λ h, (h_top _).antisymm h, λ h, h.ge⟩,
end
lemma Iic_singleton_of_bot {a : α} (h_bot : ∀ x, a ≤ x) : Iic a = {a} :=
@Ici_singleton_of_top (order_dual α) _ a h_bot
end partial_order
section order_top
variables {α : Type u} [order_top α] {a : α}
@[simp] lemma Ici_top : Ici (⊤ : α) = {⊤} := Ici_singleton_of_top (λ _, le_top)
@[simp] lemma Iic_top : Iic (⊤ : α) = univ := eq_univ_of_forall $ λ x, le_top
@[simp] lemma Icc_top : Icc a ⊤ = Ici a := by simp [← Ici_inter_Iic]
@[simp] lemma Ioc_top : Ioc a ⊤ = Ioi a := by simp [← Ioi_inter_Iic]
end order_top
section order_bot
variables {α : Type u} [order_bot α] {a : α}
@[simp] lemma Iic_bot : Iic (⊥ : α) = {⊥} := Iic_singleton_of_bot (λ _, bot_le)
@[simp] lemma Ici_bot : Ici (⊥ : α) = univ := @Iic_top (order_dual α) _
@[simp] lemma Icc_bot : Icc ⊥ a = Iic a := by simp [← Ici_inter_Iic]
@[simp] lemma Ico_bot : Ico ⊥ a = Iio a := by simp [← Ici_inter_Iio]
end order_bot
section linear_order
variables {α : Type u} [linear_order α] {a a₁ a₂ b b₁ b₂ c d : α}
lemma not_mem_Ici : c ∉ Ici a ↔ c < a := not_le
lemma not_mem_Iic : c ∉ Iic b ↔ b < c := not_le
lemma not_mem_Icc_of_lt (ha : c < a) : c ∉ Icc a b :=
not_mem_subset Icc_subset_Ici_self $ not_mem_Ici.mpr ha
lemma not_mem_Icc_of_gt (hb : b < c) : c ∉ Icc a b :=
not_mem_subset Icc_subset_Iic_self $ not_mem_Iic.mpr hb
lemma not_mem_Ico_of_lt (ha : c < a) : c ∉ Ico a b :=
not_mem_subset Ico_subset_Ici_self $ not_mem_Ici.mpr ha
lemma not_mem_Ioc_of_gt (hb : b < c) : c ∉ Ioc a b :=
not_mem_subset Ioc_subset_Iic_self $ not_mem_Iic.mpr hb
lemma not_mem_Ioi : c ∉ Ioi a ↔ c ≤ a := not_lt
lemma not_mem_Iio : c ∉ Iio b ↔ b ≤ c := not_lt
lemma not_mem_Ioc_of_le (ha : c ≤ a) : c ∉ Ioc a b :=
not_mem_subset Ioc_subset_Ioi_self $ not_mem_Ioi.mpr ha
lemma not_mem_Ico_of_ge (hb : b ≤ c) : c ∉ Ico a b :=
not_mem_subset Ico_subset_Iio_self $ not_mem_Iio.mpr hb
lemma not_mem_Ioo_of_le (ha : c ≤ a) : c ∉ Ioo a b :=
not_mem_subset Ioo_subset_Ioi_self $ not_mem_Ioi.mpr ha
lemma not_mem_Ioo_of_ge (hb : b ≤ c) : c ∉ Ioo a b :=
not_mem_subset Ioo_subset_Iio_self $ not_mem_Iio.mpr hb
@[simp] lemma compl_Iic : (Iic a)ᶜ = Ioi a := ext $ λ _, not_le
@[simp] lemma compl_Ici : (Ici a)ᶜ = Iio a := ext $ λ _, not_le
@[simp] lemma compl_Iio : (Iio a)ᶜ = Ici a := ext $ λ _, not_lt
@[simp] lemma compl_Ioi : (Ioi a)ᶜ = Iic a := ext $ λ _, not_lt
@[simp] lemma Ici_diff_Ici : Ici a \ Ici b = Ico a b :=
by rw [diff_eq, compl_Ici, Ici_inter_Iio]
@[simp] lemma Ici_diff_Ioi : Ici a \ Ioi b = Icc a b :=
by rw [diff_eq, compl_Ioi, Ici_inter_Iic]
@[simp] lemma Ioi_diff_Ioi : Ioi a \ Ioi b = Ioc a b :=
by rw [diff_eq, compl_Ioi, Ioi_inter_Iic]
@[simp] lemma Ioi_diff_Ici : Ioi a \ Ici b = Ioo a b :=
by rw [diff_eq, compl_Ici, Ioi_inter_Iio]
@[simp] lemma Iic_diff_Iic : Iic b \ Iic a = Ioc a b :=
by rw [diff_eq, compl_Iic, inter_comm, Ioi_inter_Iic]
@[simp] lemma Iio_diff_Iic : Iio b \ Iic a = Ioo a b :=
by rw [diff_eq, compl_Iic, inter_comm, Ioi_inter_Iio]
@[simp] lemma Iic_diff_Iio : Iic b \ Iio a = Icc a b :=
by rw [diff_eq, compl_Iio, inter_comm, Ici_inter_Iic]
@[simp] lemma Iio_diff_Iio : Iio b \ Iio a = Ico a b :=
by rw [diff_eq, compl_Iio, inter_comm, Ici_inter_Iio]
lemma Ico_subset_Ico_iff (h₁ : a₁ < b₁) :
Ico a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ :=
⟨λ h, have a₂ ≤ a₁ ∧ a₁ < b₂ := h ⟨le_rfl, h₁⟩,
⟨this.1, le_of_not_lt $ λ h', lt_irrefl b₂ (h ⟨this.2.le, h'⟩).2⟩,
λ ⟨h₁, h₂⟩, Ico_subset_Ico h₁ h₂⟩
lemma Ioc_subset_Ioc_iff (h₁ : a₁ < b₁) :
Ioc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ b₁ ≤ b₂ ∧ a₂ ≤ a₁ :=
by { convert @Ico_subset_Ico_iff (order_dual α) _ b₁ b₂ a₁ a₂ h₁; exact (@dual_Ico α _ _ _).symm }
lemma Ioo_subset_Ioo_iff [densely_ordered α] (h₁ : a₁ < b₁) :
Ioo a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ :=
⟨λ h, begin
rcases exists_between h₁ with ⟨x, xa, xb⟩,
split; refine le_of_not_lt (λ h', _),
{ have ab := (h ⟨xa, xb⟩).1.trans xb,
exact lt_irrefl _ (h ⟨h', ab⟩).1 },
{ have ab := xa.trans (h ⟨xa, xb⟩).2,
exact lt_irrefl _ (h ⟨ab, h'⟩).2 }
end, λ ⟨h₁, h₂⟩, Ioo_subset_Ioo h₁ h₂⟩
lemma Ico_eq_Ico_iff (h : a₁ < b₁ ∨ a₂ < b₂) : Ico a₁ b₁ = Ico a₂ b₂ ↔ a₁ = a₂ ∧ b₁ = b₂ :=
⟨λ e, begin
simp [subset.antisymm_iff] at e, simp [le_antisymm_iff],
cases h; simp [Ico_subset_Ico_iff h] at e;
[ rcases e with ⟨⟨h₁, h₂⟩, e'⟩, rcases e with ⟨e', ⟨h₁, h₂⟩⟩ ];
have := (Ico_subset_Ico_iff $ h₁.trans_lt $ h.trans_le h₂).1 e';
tauto
end, λ ⟨h₁, h₂⟩, by rw [h₁, h₂]⟩
open_locale classical
@[simp] lemma Ioi_subset_Ioi_iff : Ioi b ⊆ Ioi a ↔ a ≤ b :=
begin
refine ⟨λ h, _, λ h, Ioi_subset_Ioi h⟩,
by_contradiction ba,
exact lt_irrefl _ (h (not_le.mp ba))
end
@[simp] lemma Ioi_subset_Ici_iff [densely_ordered α] : Ioi b ⊆ Ici a ↔ a ≤ b :=
begin
refine ⟨λ h, _, λ h, Ioi_subset_Ici h⟩,
by_contradiction ba,
obtain ⟨c, bc, ca⟩ : ∃c, b < c ∧ c < a := exists_between (not_le.mp ba),
exact lt_irrefl _ (ca.trans_le (h bc))
end
@[simp] lemma Iio_subset_Iio_iff : Iio a ⊆ Iio b ↔ a ≤ b :=
begin
refine ⟨λ h, _, λ h, Iio_subset_Iio h⟩,
by_contradiction ab,
exact lt_irrefl _ (h (not_le.mp ab))
end
@[simp] lemma Iio_subset_Iic_iff [densely_ordered α] : Iio a ⊆ Iic b ↔ a ≤ b :=
by rw [←diff_eq_empty, Iio_diff_Iic, Ioo_eq_empty_iff, not_lt]
/-! ### Unions of adjacent intervals -/
/-! #### Two infinite intervals -/
@[simp] lemma Iic_union_Ici : Iic a ∪ Ici a = univ := eq_univ_of_forall (λ x, le_total x a)
@[simp] lemma Iio_union_Ici : Iio a ∪ Ici a = univ := eq_univ_of_forall (λ x, lt_or_le x a)
@[simp] lemma Iic_union_Ioi : Iic a ∪ Ioi a = univ := eq_univ_of_forall (λ x, le_or_lt x a)
/-! #### A finite and an infinite interval -/
lemma Ioo_union_Ioi' (h₁ : c < b) :
Ioo a b ∪ Ioi c = Ioi (min a c) :=
begin
ext1 x,
simp_rw [mem_union, mem_Ioo, mem_Ioi, min_lt_iff],
by_cases hc : c < x,
{ tauto },
{ have hxb : x < b := (le_of_not_gt hc).trans_lt h₁,
tauto },
end
lemma Ioo_union_Ioi (h : c < max a b) :
Ioo a b ∪ Ioi c = Ioi (min a c) :=
begin
cases le_total a b with hab hab; simp [hab] at h,
{ exact Ioo_union_Ioi' h },
{ rw min_comm,
simp [*, min_eq_left_of_lt] },
end
lemma Ioi_subset_Ioo_union_Ici : Ioi a ⊆ Ioo a b ∪ Ici b :=
λ x hx, (lt_or_le x b).elim (λ hxb, or.inl ⟨hx, hxb⟩) (λ hxb, or.inr hxb)
@[simp] lemma Ioo_union_Ici_eq_Ioi (h : a < b) : Ioo a b ∪ Ici b = Ioi a :=
subset.antisymm (λ x hx, hx.elim and.left h.trans_le) Ioi_subset_Ioo_union_Ici
lemma Ici_subset_Ico_union_Ici : Ici a ⊆ Ico a b ∪ Ici b :=
λ x hx, (lt_or_le x b).elim (λ hxb, or.inl ⟨hx, hxb⟩) (λ hxb, or.inr hxb)
@[simp] lemma Ico_union_Ici_eq_Ici (h : a ≤ b) : Ico a b ∪ Ici b = Ici a :=
subset.antisymm (λ x hx, hx.elim and.left h.trans) Ici_subset_Ico_union_Ici
lemma Ico_union_Ici' (h₁ : c ≤ b) :
Ico a b ∪ Ici c = Ici (min a c) :=
begin
ext1 x,
simp_rw [mem_union, mem_Ico, mem_Ici, min_le_iff],
by_cases hc : c ≤ x,
{ tauto },
{ have hxb : x < b := (lt_of_not_ge hc).trans_le h₁,
tauto },
end
lemma Ico_union_Ici (h : c ≤ max a b) :
Ico a b ∪ Ici c = Ici (min a c) :=
begin
cases le_total a b with hab hab; simp [hab] at h,
{ exact Ico_union_Ici' h },
{ simp [*] },
end
lemma Ioi_subset_Ioc_union_Ioi : Ioi a ⊆ Ioc a b ∪ Ioi b :=
λ x hx, (le_or_lt x b).elim (λ hxb, or.inl ⟨hx, hxb⟩) (λ hxb, or.inr hxb)
@[simp] lemma Ioc_union_Ioi_eq_Ioi (h : a ≤ b) : Ioc a b ∪ Ioi b = Ioi a :=
subset.antisymm (λ x hx, hx.elim and.left h.trans_lt) Ioi_subset_Ioc_union_Ioi
lemma Ioc_union_Ioi' (h₁ : c ≤ b) :
Ioc a b ∪ Ioi c = Ioi (min a c) :=
begin
ext1 x,
simp_rw [mem_union, mem_Ioc, mem_Ioi, min_lt_iff],
by_cases hc : c < x,
{ tauto },
{ have hxb : x ≤ b := (le_of_not_gt hc).trans h₁,
tauto },
end
lemma Ioc_union_Ioi (h : c ≤ max a b) :
Ioc a b ∪ Ioi c = Ioi (min a c) :=
begin
cases le_total a b with hab hab; simp [hab] at h,
{ exact Ioc_union_Ioi' h },
{ simp [*] },
end
lemma Ici_subset_Icc_union_Ioi : Ici a ⊆ Icc a b ∪ Ioi b :=
λ x hx, (le_or_lt x b).elim (λ hxb, or.inl ⟨hx, hxb⟩) (λ hxb, or.inr hxb)
@[simp] lemma Icc_union_Ioi_eq_Ici (h : a ≤ b) : Icc a b ∪ Ioi b = Ici a :=
subset.antisymm (λ x hx, hx.elim and.left $ λ hx', h.trans $ le_of_lt hx') Ici_subset_Icc_union_Ioi
lemma Ioi_subset_Ioc_union_Ici : Ioi a ⊆ Ioc a b ∪ Ici b :=
subset.trans Ioi_subset_Ioo_union_Ici (union_subset_union_left _ Ioo_subset_Ioc_self)
@[simp] lemma Ioc_union_Ici_eq_Ioi (h : a < b) : Ioc a b ∪ Ici b = Ioi a :=
subset.antisymm (λ x hx, hx.elim and.left h.trans_le) Ioi_subset_Ioc_union_Ici
lemma Ici_subset_Icc_union_Ici : Ici a ⊆ Icc a b ∪ Ici b :=
subset.trans Ici_subset_Ico_union_Ici (union_subset_union_left _ Ico_subset_Icc_self)
@[simp] lemma Icc_union_Ici_eq_Ici (h : a ≤ b) : Icc a b ∪ Ici b = Ici a :=
subset.antisymm (λ x hx, hx.elim and.left h.trans) Ici_subset_Icc_union_Ici
lemma Icc_union_Ici' (h₁ : c ≤ b) :
Icc a b ∪ Ici c = Ici (min a c) :=
begin
ext1 x,
simp_rw [mem_union, mem_Icc, mem_Ici, min_le_iff],
by_cases hc : c ≤ x,
{ tauto },
{ have hxb : x ≤ b := (le_of_not_ge hc).trans h₁,
tauto },
end
lemma Icc_union_Ici (h : c ≤ max a b) :
Icc a b ∪ Ici c = Ici (min a c) :=
begin
cases le_or_lt a b with hab hab; simp [hab] at h,
{ exact Icc_union_Ici' h },
{ cases h,
{ simp [*] },
{ have hca : c ≤ a := h.trans hab.le,
simp [*] } },
end
/-! #### An infinite and a finite interval -/
lemma Iic_subset_Iio_union_Icc : Iic b ⊆ Iio a ∪ Icc a b :=
λ x hx, (lt_or_le x a).elim (λ hxa, or.inl hxa) (λ hxa, or.inr ⟨hxa, hx⟩)
@[simp] lemma Iio_union_Icc_eq_Iic (h : a ≤ b) : Iio a ∪ Icc a b = Iic b :=
subset.antisymm (λ x hx, hx.elim (λ hx, (le_of_lt hx).trans h) and.right)
Iic_subset_Iio_union_Icc
lemma Iio_subset_Iio_union_Ico : Iio b ⊆ Iio a ∪ Ico a b :=
λ x hx, (lt_or_le x a).elim (λ hxa, or.inl hxa) (λ hxa, or.inr ⟨hxa, hx⟩)
@[simp] lemma Iio_union_Ico_eq_Iio (h : a ≤ b) : Iio a ∪ Ico a b = Iio b :=
subset.antisymm (λ x hx, hx.elim (λ hx', lt_of_lt_of_le hx' h) and.right) Iio_subset_Iio_union_Ico
lemma Iio_union_Ico' (h₁ : c ≤ b) :
Iio b ∪ Ico c d = Iio (max b d) :=
begin
ext1 x,
simp_rw [mem_union, mem_Iio, mem_Ico, lt_max_iff],
by_cases hc : c ≤ x,
{ tauto },
{ have hxb : x < b := (lt_of_not_ge hc).trans_le h₁,
tauto },
end
lemma Iio_union_Ico (h : min c d ≤ b) :
Iio b ∪ Ico c d = Iio (max b d) :=
begin
cases le_total c d with hcd hcd; simp [hcd] at h,
{ exact Iio_union_Ico' h },
{ simp [*] },
end
lemma Iic_subset_Iic_union_Ioc : Iic b ⊆ Iic a ∪ Ioc a b :=
λ x hx, (le_or_lt x a).elim (λ hxa, or.inl hxa) (λ hxa, or.inr ⟨hxa, hx⟩)
@[simp] lemma Iic_union_Ioc_eq_Iic (h : a ≤ b) : Iic a ∪ Ioc a b = Iic b :=
subset.antisymm (λ x hx, hx.elim (λ hx', le_trans hx' h) and.right) Iic_subset_Iic_union_Ioc
lemma Iic_union_Ioc' (h₁ : c < b) :
Iic b ∪ Ioc c d = Iic (max b d) :=
begin
ext1 x,
simp_rw [mem_union, mem_Iic, mem_Ioc, le_max_iff],
by_cases hc : c < x,
{ tauto },
{ have hxb : x ≤ b := (le_of_not_gt hc).trans h₁.le,
tauto },
end
lemma Iic_union_Ioc (h : min c d < b) :
Iic b ∪ Ioc c d = Iic (max b d) :=
begin
cases le_total c d with hcd hcd; simp [hcd] at h,
{ exact Iic_union_Ioc' h },
{ rw max_comm,
simp [*, max_eq_right_of_lt h] },
end
lemma Iio_subset_Iic_union_Ioo : Iio b ⊆ Iic a ∪ Ioo a b :=
λ x hx, (le_or_lt x a).elim (λ hxa, or.inl hxa) (λ hxa, or.inr ⟨hxa, hx⟩)
@[simp] lemma Iic_union_Ioo_eq_Iio (h : a < b) : Iic a ∪ Ioo a b = Iio b :=
subset.antisymm (λ x hx, hx.elim (λ hx', lt_of_le_of_lt hx' h) and.right) Iio_subset_Iic_union_Ioo
lemma Iio_union_Ioo' (h₁ : c < b) :
Iio b ∪ Ioo c d = Iio (max b d) :=
begin
ext x,
cases lt_or_le x b with hba hba,
{ simp [hba, h₁] },
{ simp only [mem_Iio, mem_union_eq, mem_Ioo, lt_max_iff],
refine or_congr iff.rfl ⟨and.right, _⟩,
exact λ h₂, ⟨h₁.trans_le hba, h₂⟩ },
end
lemma Iio_union_Ioo (h : min c d < b) :
Iio b ∪ Ioo c d = Iio (max b d) :=
begin
cases le_total c d with hcd hcd; simp [hcd] at h,
{ exact Iio_union_Ioo' h },
{ rw max_comm,
simp [*, max_eq_right_of_lt h] },
end
lemma Iic_subset_Iic_union_Icc : Iic b ⊆ Iic a ∪ Icc a b :=
subset.trans Iic_subset_Iic_union_Ioc (union_subset_union_right _ Ioc_subset_Icc_self)
@[simp] lemma Iic_union_Icc_eq_Iic (h : a ≤ b) : Iic a ∪ Icc a b = Iic b :=
subset.antisymm (λ x hx, hx.elim (λ hx', le_trans hx' h) and.right) Iic_subset_Iic_union_Icc
lemma Iic_union_Icc' (h₁ : c ≤ b) :
Iic b ∪ Icc c d = Iic (max b d) :=
begin
ext1 x,
simp_rw [mem_union, mem_Iic, mem_Icc, le_max_iff],
by_cases hc : c ≤ x,
{ tauto },
{ have hxb : x ≤ b := (le_of_not_ge hc).trans h₁,
tauto },
end
lemma Iic_union_Icc (h : min c d ≤ b) :
Iic b ∪ Icc c d = Iic (max b d) :=
begin
cases le_or_lt c d with hcd hcd; simp [hcd] at h,
{ exact Iic_union_Icc' h },
{ cases h,
{ have hdb : d ≤ b := hcd.le.trans h,
simp [*] },
{ simp [*] } },
end
lemma Iio_subset_Iic_union_Ico : Iio b ⊆ Iic a ∪ Ico a b :=
subset.trans Iio_subset_Iic_union_Ioo (union_subset_union_right _ Ioo_subset_Ico_self)
@[simp] lemma Iic_union_Ico_eq_Iio (h : a < b) : Iic a ∪ Ico a b = Iio b :=
subset.antisymm (λ x hx, hx.elim (λ hx', lt_of_le_of_lt hx' h) and.right) Iio_subset_Iic_union_Ico
/-! #### Two finite intervals, `I?o` and `Ic?` -/
lemma Ioo_subset_Ioo_union_Ico : Ioo a c ⊆ Ioo a b ∪ Ico b c :=
λ x hx, (lt_or_le x b).elim (λ hxb, or.inl ⟨hx.1, hxb⟩) (λ hxb, or.inr ⟨hxb, hx.2⟩)
@[simp] lemma Ioo_union_Ico_eq_Ioo (h₁ : a < b) (h₂ : b ≤ c) : Ioo a b ∪ Ico b c = Ioo a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.trans_le h₂⟩) (λ hx, ⟨h₁.trans_le hx.1, hx.2⟩))
Ioo_subset_Ioo_union_Ico
lemma Ico_subset_Ico_union_Ico : Ico a c ⊆ Ico a b ∪ Ico b c :=
λ x hx, (lt_or_le x b).elim (λ hxb, or.inl ⟨hx.1, hxb⟩) (λ hxb, or.inr ⟨hxb, hx.2⟩)
@[simp] lemma Ico_union_Ico_eq_Ico (h₁ : a ≤ b) (h₂ : b ≤ c) : Ico a b ∪ Ico b c = Ico a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.trans_le h₂⟩) (λ hx, ⟨h₁.trans hx.1, hx.2⟩))
Ico_subset_Ico_union_Ico
lemma Ico_union_Ico' (h₁ : c ≤ b) (h₂ : a ≤ d) :
Ico a b ∪ Ico c d = Ico (min a c) (max b d) :=
begin
ext1 x,
simp_rw [mem_union, mem_Ico, min_le_iff, lt_max_iff],
by_cases hc : c ≤ x; by_cases hd : x < d,
{ tauto },
{ have hax : a ≤ x := h₂.trans (le_of_not_gt hd),
tauto },
{ have hxb : x < b := (lt_of_not_ge hc).trans_le h₁,
tauto },
{ tauto },
end
lemma Ico_union_Ico (h₁ : min a b ≤ max c d) (h₂ : min c d ≤ max a b) :
Ico a b ∪ Ico c d = Ico (min a c) (max b d) :=
begin
cases le_total a b with hab hab; cases le_total c d with hcd hcd; simp [hab, hcd] at h₁ h₂,
{ exact Ico_union_Ico' h₂ h₁ },
all_goals { simp [*] },
end
lemma Icc_subset_Ico_union_Icc : Icc a c ⊆ Ico a b ∪ Icc b c :=
λ x hx, (lt_or_le x b).elim (λ hxb, or.inl ⟨hx.1, hxb⟩) (λ hxb, or.inr ⟨hxb, hx.2⟩)
@[simp] lemma Ico_union_Icc_eq_Icc (h₁ : a ≤ b) (h₂ : b ≤ c) : Ico a b ∪ Icc b c = Icc a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.le.trans h₂⟩) (λ hx, ⟨h₁.trans hx.1, hx.2⟩))
Icc_subset_Ico_union_Icc
lemma Ioc_subset_Ioo_union_Icc : Ioc a c ⊆ Ioo a b ∪ Icc b c :=
λ x hx, (lt_or_le x b).elim (λ hxb, or.inl ⟨hx.1, hxb⟩) (λ hxb, or.inr ⟨hxb, hx.2⟩)
@[simp] lemma Ioo_union_Icc_eq_Ioc (h₁ : a < b) (h₂ : b ≤ c) : Ioo a b ∪ Icc b c = Ioc a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.le.trans h₂⟩)
(λ hx, ⟨h₁.trans_le hx.1, hx.2⟩))
Ioc_subset_Ioo_union_Icc
/-! #### Two finite intervals, `I?c` and `Io?` -/
lemma Ioo_subset_Ioc_union_Ioo : Ioo a c ⊆ Ioc a b ∪ Ioo b c :=
λ x hx, (le_or_lt x b).elim (λ hxb, or.inl ⟨hx.1, hxb⟩) (λ hxb, or.inr ⟨hxb, hx.2⟩)
@[simp] lemma Ioc_union_Ioo_eq_Ioo (h₁ : a ≤ b) (h₂ : b < c) : Ioc a b ∪ Ioo b c = Ioo a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.trans_lt h₂⟩) (λ hx, ⟨h₁.trans_lt hx.1, hx.2⟩))
Ioo_subset_Ioc_union_Ioo
lemma Ico_subset_Icc_union_Ioo : Ico a c ⊆ Icc a b ∪ Ioo b c :=
λ x hx, (le_or_lt x b).elim (λ hxb, or.inl ⟨hx.1, hxb⟩) (λ hxb, or.inr ⟨hxb, hx.2⟩)
@[simp] lemma Icc_union_Ioo_eq_Ico (h₁ : a ≤ b) (h₂ : b < c) : Icc a b ∪ Ioo b c = Ico a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.trans_lt h₂⟩)
(λ hx, ⟨h₁.trans hx.1.le, hx.2⟩))
Ico_subset_Icc_union_Ioo
lemma Icc_subset_Icc_union_Ioc : Icc a c ⊆ Icc a b ∪ Ioc b c :=
λ x hx, (le_or_lt x b).elim (λ hxb, or.inl ⟨hx.1, hxb⟩) (λ hxb, or.inr ⟨hxb, hx.2⟩)
@[simp] lemma Icc_union_Ioc_eq_Icc (h₁ : a ≤ b) (h₂ : b ≤ c) : Icc a b ∪ Ioc b c = Icc a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.trans h₂⟩) (λ hx, ⟨h₁.trans hx.1.le, hx.2⟩))
Icc_subset_Icc_union_Ioc
lemma Ioc_subset_Ioc_union_Ioc : Ioc a c ⊆ Ioc a b ∪ Ioc b c :=
λ x hx, (le_or_lt x b).elim (λ hxb, or.inl ⟨hx.1, hxb⟩) (λ hxb, or.inr ⟨hxb, hx.2⟩)
@[simp] lemma Ioc_union_Ioc_eq_Ioc (h₁ : a ≤ b) (h₂ : b ≤ c) : Ioc a b ∪ Ioc b c = Ioc a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.trans h₂⟩) (λ hx, ⟨h₁.trans_lt hx.1, hx.2⟩))
Ioc_subset_Ioc_union_Ioc
lemma Ioc_union_Ioc' (h₁ : c ≤ b) (h₂ : a ≤ d) :
Ioc a b ∪ Ioc c d = Ioc (min a c) (max b d) :=
begin
ext1 x,
simp_rw [mem_union, mem_Ioc, min_lt_iff, le_max_iff],
by_cases hc : c < x; by_cases hd : x ≤ d,
{ tauto },
{ have hax : a < x := h₂.trans_lt (lt_of_not_ge hd),
tauto },
{ have hxb : x ≤ b := (le_of_not_gt hc).trans h₁,
tauto },
{ tauto },
end
lemma Ioc_union_Ioc (h₁ : min a b ≤ max c d) (h₂ : min c d ≤ max a b) :
Ioc a b ∪ Ioc c d = Ioc (min a c) (max b d) :=
begin
cases le_total a b with hab hab; cases le_total c d with hcd hcd; simp [hab, hcd] at h₁ h₂,
{ exact Ioc_union_Ioc' h₂ h₁ },
all_goals { simp [*] },
end
/-! #### Two finite intervals with a common point -/
lemma Ioo_subset_Ioc_union_Ico : Ioo a c ⊆ Ioc a b ∪ Ico b c :=
subset.trans Ioo_subset_Ioc_union_Ioo (union_subset_union_right _ Ioo_subset_Ico_self)
@[simp] lemma Ioc_union_Ico_eq_Ioo (h₁ : a < b) (h₂ : b < c) : Ioc a b ∪ Ico b c = Ioo a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx', ⟨hx'.1, hx'.2.trans_lt h₂⟩) (λ hx', ⟨h₁.trans_le hx'.1, hx'.2⟩))
Ioo_subset_Ioc_union_Ico
lemma Ico_subset_Icc_union_Ico : Ico a c ⊆ Icc a b ∪ Ico b c :=
subset.trans Ico_subset_Icc_union_Ioo (union_subset_union_right _ Ioo_subset_Ico_self)
@[simp] lemma Icc_union_Ico_eq_Ico (h₁ : a ≤ b) (h₂ : b < c) : Icc a b ∪ Ico b c = Ico a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.trans_lt h₂⟩) (λ hx, ⟨h₁.trans hx.1, hx.2⟩))
Ico_subset_Icc_union_Ico
lemma Icc_subset_Icc_union_Icc : Icc a c ⊆ Icc a b ∪ Icc b c :=
subset.trans Icc_subset_Icc_union_Ioc (union_subset_union_right _ Ioc_subset_Icc_self)
@[simp] lemma Icc_union_Icc_eq_Icc (h₁ : a ≤ b) (h₂ : b ≤ c) : Icc a b ∪ Icc b c = Icc a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.trans h₂⟩) (λ hx, ⟨h₁.trans hx.1, hx.2⟩))
Icc_subset_Icc_union_Icc
lemma Icc_union_Icc' (h₁ : c ≤ b) (h₂ : a ≤ d) :
Icc a b ∪ Icc c d = Icc (min a c) (max b d) :=
begin
ext1 x,
simp_rw [mem_union, mem_Icc, min_le_iff, le_max_iff],
by_cases hc : c ≤ x; by_cases hd : x ≤ d,
{ tauto },
{ have hax : a ≤ x := h₂.trans (le_of_not_ge hd),
tauto },
{ have hxb : x ≤ b := (le_of_not_ge hc).trans h₁,
tauto },
{ tauto }
end
/--
We cannot replace `<` by `≤` in the hypotheses.
Otherwise for `b < a = d < c` the l.h.s. is `∅` and the r.h.s. is `{a}`.
-/
lemma Icc_union_Icc (h₁ : min a b < max c d) (h₂ : min c d < max a b) :
Icc a b ∪ Icc c d = Icc (min a c) (max b d) :=
begin
cases le_or_lt a b with hab hab; cases le_or_lt c d with hcd hcd;
simp only [min_eq_left, min_eq_right, max_eq_left, max_eq_right, min_eq_left_of_lt,
min_eq_right_of_lt, max_eq_left_of_lt, max_eq_right_of_lt, hab, hcd] at h₁ h₂,
{ exact Icc_union_Icc' h₂.le h₁.le },
all_goals { simp [*, min_eq_left_of_lt, max_eq_left_of_lt, min_eq_right_of_lt,
max_eq_right_of_lt] },
end
lemma Ioc_subset_Ioc_union_Icc : Ioc a c ⊆ Ioc a b ∪ Icc b c :=
subset.trans Ioc_subset_Ioc_union_Ioc (union_subset_union_right _ Ioc_subset_Icc_self)
@[simp] lemma Ioc_union_Icc_eq_Ioc (h₁ : a < b) (h₂ : b ≤ c) : Ioc a b ∪ Icc b c = Ioc a c :=
subset.antisymm
(λ x hx, hx.elim (λ hx, ⟨hx.1, hx.2.trans h₂⟩) (λ hx, ⟨h₁.trans_le hx.1, hx.2⟩))
Ioc_subset_Ioc_union_Icc
lemma Ioo_union_Ioo' (h₁ : c < b) (h₂ : a < d) :
Ioo a b ∪ Ioo c d = Ioo (min a c) (max b d) :=
begin
ext1 x,
simp_rw [mem_union, mem_Ioo, min_lt_iff, lt_max_iff],
by_cases hc : c < x; by_cases hd : x < d,
{ tauto },
{ have hax : a < x := h₂.trans_le (le_of_not_lt hd),
tauto },
{ have hxb : x < b := (le_of_not_lt hc).trans_lt h₁,
tauto },
{ tauto }
end
lemma Ioo_union_Ioo (h₁ : min a b < max c d) (h₂ : min c d < max a b) :
Ioo a b ∪ Ioo c d = Ioo (min a c) (max b d) :=
begin
cases le_total a b with hab hab; cases le_total c d with hcd hcd;
simp only [min_eq_left, min_eq_right, max_eq_left, max_eq_right, hab, hcd] at h₁ h₂,
{ exact Ioo_union_Ioo' h₂ h₁ },
all_goals {
simp [*, min_eq_left_of_lt, min_eq_right_of_lt, max_eq_left_of_lt, max_eq_right_of_lt,
le_of_lt h₂, le_of_lt h₁] },
end
end linear_order
section lattice
section inf
variables {α : Type u} [semilattice_inf α]
@[simp] lemma Iic_inter_Iic {a b : α} : Iic a ∩ Iic b = Iic (a ⊓ b) :=
by { ext x, simp [Iic] }
@[simp] lemma Iio_inter_Iio [is_total α (≤)] {a b : α} : Iio a ∩ Iio b = Iio (a ⊓ b) :=
by { ext x, simp [Iio] }
end inf
section sup
variables {α : Type u} [semilattice_sup α]
@[simp] lemma Ici_inter_Ici {a b : α} : Ici a ∩ Ici b = Ici (a ⊔ b) :=
by { ext x, simp [Ici] }
@[simp] lemma Ioi_inter_Ioi [is_total α (≤)] {a b : α} : Ioi a ∩ Ioi b = Ioi (a ⊔ b) :=
by { ext x, simp [Ioi] }
@[simp] lemma Ioc_inter_Ioi [is_total α (≤)] {a b c : α} : Ioc a b ∩ Ioi c = Ioc (a ⊔ c) b :=
by rw [← Ioi_inter_Iic, inter_assoc, inter_comm, inter_assoc, Ioi_inter_Ioi, inter_comm,
Ioi_inter_Iic, sup_comm]
end sup
section both
variables {α : Type u} [lattice α] [ht : is_total α (≤)] {a b c a₁ a₂ b₁ b₂ : α}
lemma Icc_inter_Icc : Icc a₁ b₁ ∩ Icc a₂ b₂ = Icc (a₁ ⊔ a₂) (b₁ ⊓ b₂) :=
by simp only [Ici_inter_Iic.symm, Ici_inter_Ici.symm, Iic_inter_Iic.symm]; ac_refl
@[simp] lemma Icc_inter_Icc_eq_singleton (hab : a ≤ b) (hbc : b ≤ c) :
Icc a b ∩ Icc b c = {b} :=
by rw [Icc_inter_Icc, sup_of_le_right hab, inf_of_le_left hbc, Icc_self]
include ht
lemma Ico_inter_Ico : Ico a₁ b₁ ∩ Ico a₂ b₂ = Ico (a₁ ⊔ a₂) (b₁ ⊓ b₂) :=
by simp only [Ici_inter_Iio.symm, Ici_inter_Ici.symm, Iio_inter_Iio.symm]; ac_refl
lemma Ioc_inter_Ioc : Ioc a₁ b₁ ∩ Ioc a₂ b₂ = Ioc (a₁ ⊔ a₂) (b₁ ⊓ b₂) :=
by simp only [Ioi_inter_Iic.symm, Ioi_inter_Ioi.symm, Iic_inter_Iic.symm]; ac_refl
lemma Ioo_inter_Ioo : Ioo a₁ b₁ ∩ Ioo a₂ b₂ = Ioo (a₁ ⊔ a₂) (b₁ ⊓ b₂) :=
by simp only [Ioi_inter_Iio.symm, Ioi_inter_Ioi.symm, Iio_inter_Iio.symm]; ac_refl
end both
lemma Icc_bot_top {α} [bounded_lattice α] : Icc (⊥ : α) ⊤ = univ := by simp
end lattice
section linear_order
variables {α : Type u} [linear_order α] {a a₁ a₂ b b₁ b₂ c d : α}
lemma Ioc_inter_Ioo_of_left_lt (h : b₁ < b₂) : Ioc a₁ b₁ ∩ Ioo a₂ b₂ = Ioc (max a₁ a₂) b₁ :=
ext $ λ x, by simp [and_assoc, @and.left_comm (x ≤ _),
and_iff_left_iff_imp.2 (λ h', lt_of_le_of_lt h' h)]
lemma Ioc_inter_Ioo_of_right_le (h : b₂ ≤ b₁) : Ioc a₁ b₁ ∩ Ioo a₂ b₂ = Ioo (max a₁ a₂) b₂ :=
ext $ λ x, by simp [and_assoc, @and.left_comm (x ≤ _),
and_iff_right_iff_imp.2 (λ h', ((le_of_lt h').trans h))]
lemma Ioo_inter_Ioc_of_left_le (h : b₁ ≤ b₂) : Ioo a₁ b₁ ∩ Ioc a₂ b₂ = Ioo (max a₁ a₂) b₁ :=
by rw [inter_comm, Ioc_inter_Ioo_of_right_le h, max_comm]
lemma Ioo_inter_Ioc_of_right_lt (h : b₂ < b₁) : Ioo a₁ b₁ ∩ Ioc a₂ b₂ = Ioc (max a₁ a₂) b₂ :=
by rw [inter_comm, Ioc_inter_Ioo_of_left_lt h, max_comm]
lemma Iic_inter_Ioc_of_le (h : a₂ ≤ a) : Iic a₂ ∩ Ioc a₁ a = Ioc a₁ a₂ :=
ext $ λ x, ⟨λ H, ⟨H.2.1, H.1⟩, λ H, ⟨H.2, H.1, H.2.trans h⟩⟩
@[simp] lemma Ico_diff_Iio : Ico a b \ Iio c = Ico (max a c) b :=
ext $ by simp [iff_def] {contextual:=tt}
@[simp] lemma Ioc_diff_Ioi : Ioc a b \ Ioi c = Ioc a (min b c) :=
ext $ by simp [iff_def] {contextual:=tt}
@[simp] lemma Ico_inter_Iio : Ico a b ∩ Iio c = Ico a (min b c) :=
ext $ by simp [iff_def] {contextual:=tt}
@[simp] lemma Ioc_union_Ioc_right : Ioc a b ∪ Ioc a c = Ioc a (max b c) :=
by rw [Ioc_union_Ioc, min_self]; exact (min_le_left _ _).trans (le_max_left _ _)
@[simp] lemma Ioc_union_Ioc_left : Ioc a c ∪ Ioc b c = Ioc (min a b) c :=
by rw [Ioc_union_Ioc, max_self]; exact (min_le_right _ _).trans (le_max_right _ _)
@[simp] lemma Ioc_union_Ioc_symm : Ioc a b ∪ Ioc b a = Ioc (min a b) (max a b) :=
by { rw max_comm, apply Ioc_union_Ioc; rw max_comm; exact min_le_max }
@[simp] lemma Ioc_union_Ioc_union_Ioc_cycle :
Ioc a b ∪ Ioc b c ∪ Ioc c a = Ioc (min a (min b c)) (max a (max b c)) :=
begin
rw [Ioc_union_Ioc, Ioc_union_Ioc],
ac_refl,
all_goals { solve_by_elim [min_le_of_left_le, min_le_of_right_le, le_max_of_le_left,
le_max_of_le_right, le_refl] { max_depth := 5 }}
end
end linear_order
/-! ### Lemmas about membership of arithmetic operations -/
section ordered_comm_group
variables {α : Type*} [ordered_comm_group α] {a b c d : α}
/-! `inv_mem_Ixx_iff`, `sub_mem_Ixx_iff` -/
@[to_additive] lemma inv_mem_Icc_iff : a⁻¹ ∈ set.Icc c d ↔ a ∈ set.Icc (d⁻¹) (c⁻¹) :=
(and_comm _ _).trans $ and_congr inv_le' le_inv'
@[to_additive] lemma inv_mem_Ico_iff : a⁻¹ ∈ set.Ico c d ↔ a ∈ set.Ioc (d⁻¹) (c⁻¹) :=
(and_comm _ _).trans $ and_congr inv_lt' le_inv'
@[to_additive] lemma inv_mem_Ioc_iff : a⁻¹ ∈ set.Ioc c d ↔ a ∈ set.Ico (d⁻¹) (c⁻¹) :=
(and_comm _ _).trans $ and_congr inv_le' lt_inv'
@[to_additive] lemma inv_mem_Ioo_iff : a⁻¹ ∈ set.Ioo c d ↔ a ∈ set.Ioo (d⁻¹) (c⁻¹) :=
(and_comm _ _).trans $ and_congr inv_lt' lt_inv'
end ordered_comm_group
section ordered_add_comm_group
variables {α : Type*} [ordered_add_comm_group α] {a b c d : α}
/-! `add_mem_Ixx_iff_left` -/
lemma add_mem_Icc_iff_left : a + b ∈ set.Icc c d ↔ a ∈ set.Icc (c - b) (d - b) :=
(and_congr sub_le_iff_le_add le_sub_iff_add_le).symm
lemma add_mem_Ico_iff_left : a + b ∈ set.Ico c d ↔ a ∈ set.Ico (c - b) (d - b) :=
(and_congr sub_le_iff_le_add lt_sub_iff_add_lt).symm
lemma add_mem_Ioc_iff_left : a + b ∈ set.Ioc c d ↔ a ∈ set.Ioc (c - b) (d - b) :=
(and_congr sub_lt_iff_lt_add le_sub_iff_add_le).symm
lemma add_mem_Ioo_iff_left : a + b ∈ set.Ioo c d ↔ a ∈ set.Ioo (c - b) (d - b) :=
(and_congr sub_lt_iff_lt_add lt_sub_iff_add_lt).symm
/-! `add_mem_Ixx_iff_right` -/
lemma add_mem_Icc_iff_right : a + b ∈ set.Icc c d ↔ b ∈ set.Icc (c - a) (d - a) :=
(and_congr sub_le_iff_le_add' le_sub_iff_add_le').symm
lemma add_mem_Ico_iff_right : a + b ∈ set.Ico c d ↔ b ∈ set.Ico (c - a) (d - a) :=
(and_congr sub_le_iff_le_add' lt_sub_iff_add_lt').symm
lemma add_mem_Ioc_iff_right : a + b ∈ set.Ioc c d ↔ b ∈ set.Ioc (c - a) (d - a) :=
(and_congr sub_lt_iff_lt_add' le_sub_iff_add_le').symm
lemma add_mem_Ioo_iff_right : a + b ∈ set.Ioo c d ↔ b ∈ set.Ioo (c - a) (d - a) :=
(and_congr sub_lt_iff_lt_add' lt_sub_iff_add_lt').symm
/-! `sub_mem_Ixx_iff_left` -/
lemma sub_mem_Icc_iff_left : a - b ∈ set.Icc c d ↔ a ∈ set.Icc (c + b) (d + b) :=
and_congr le_sub_iff_add_le sub_le_iff_le_add
lemma sub_mem_Ico_iff_left : a - b ∈ set.Ico c d ↔ a ∈ set.Ico (c + b) (d + b) :=
and_congr le_sub_iff_add_le sub_lt_iff_lt_add
lemma sub_mem_Ioc_iff_left : a - b ∈ set.Ioc c d ↔ a ∈ set.Ioc (c + b) (d + b) :=
and_congr lt_sub_iff_add_lt sub_le_iff_le_add
lemma sub_mem_Ioo_iff_left : a - b ∈ set.Ioo c d ↔ a ∈ set.Ioo (c + b) (d + b) :=
and_congr lt_sub_iff_add_lt sub_lt_iff_lt_add
/-! `sub_mem_Ixx_iff_right` -/
lemma sub_mem_Icc_iff_right : a - b ∈ set.Icc c d ↔ b ∈ set.Icc (a - d) (a - c) :=
(and_comm _ _).trans $ and_congr sub_le le_sub
lemma sub_mem_Ico_iff_right : a - b ∈ set.Ico c d ↔ b ∈ set.Ioc (a - d) (a - c) :=
(and_comm _ _).trans $ and_congr sub_lt le_sub
lemma sub_mem_Ioc_iff_right : a - b ∈ set.Ioc c d ↔ b ∈ set.Ico (a - d) (a - c) :=
(and_comm _ _).trans $ and_congr sub_le lt_sub
lemma sub_mem_Ioo_iff_right : a - b ∈ set.Ioo c d ↔ b ∈ set.Ioo (a - d) (a - c) :=
(and_comm _ _).trans $ and_congr sub_lt lt_sub
-- I think that symmetric intervals deserve attention and API: they arise all the time,
-- for instance when considering metric balls in `ℝ`.
lemma mem_Icc_iff_abs_le {R : Type*} [linear_ordered_add_comm_group R] {x y z : R} :
|x - y| ≤ z ↔ y ∈ Icc (x - z) (x + z) :=
abs_le.trans $ (and_comm _ _).trans $ and_congr sub_le neg_le_sub_iff_le_add
end ordered_add_comm_group
section linear_ordered_add_comm_group
variables {α : Type u} [linear_ordered_add_comm_group α]
/-- If we remove a smaller interval from a larger, the result is nonempty -/
lemma nonempty_Ico_sdiff {x dx y dy : α} (h : dy < dx) (hx : 0 < dx) :
nonempty ↥(Ico x (x + dx) \ Ico y (y + dy)) :=
begin
cases lt_or_le x y with h' h',
{ use x, simp [*, not_le.2 h'] },
{ use max x (x + dy), simp [*, le_refl] }
end
end linear_ordered_add_comm_group
end set
namespace order_iso
variables {α β : Type*}
open set
section preorder
variables [preorder α] [preorder β]
@[simp] lemma preimage_Iic (e : α ≃o β) (b : β) : e ⁻¹' (Iic b) = Iic (e.symm b) :=
by { ext x, simp [← e.le_iff_le] }
@[simp] lemma preimage_Ici (e : α ≃o β) (b : β) : e ⁻¹' (Ici b) = Ici (e.symm b) :=
by { ext x, simp [← e.le_iff_le] }
@[simp] lemma preimage_Iio (e : α ≃o β) (b : β) : e ⁻¹' (Iio b) = Iio (e.symm b) :=
by { ext x, simp [← e.lt_iff_lt] }
@[simp] lemma preimage_Ioi (e : α ≃o β) (b : β) : e ⁻¹' (Ioi b) = Ioi (e.symm b) :=
by { ext x, simp [← e.lt_iff_lt] }
@[simp] lemma preimage_Icc (e : α ≃o β) (a b : β) : e ⁻¹' (Icc a b) = Icc (e.symm a) (e.symm b) :=
by simp [← Ici_inter_Iic]
@[simp] lemma preimage_Ico (e : α ≃o β) (a b : β) : e ⁻¹' (Ico a b) = Ico (e.symm a) (e.symm b) :=
by simp [← Ici_inter_Iio]
@[simp] lemma preimage_Ioc (e : α ≃o β) (a b : β) : e ⁻¹' (Ioc a b) = Ioc (e.symm a) (e.symm b) :=
by simp [← Ioi_inter_Iic]
@[simp] lemma preimage_Ioo (e : α ≃o β) (a b : β) : e ⁻¹' (Ioo a b) = Ioo (e.symm a) (e.symm b) :=
by simp [← Ioi_inter_Iio]
@[simp] lemma image_Iic (e : α ≃o β) (a : α) : e '' (Iic a) = Iic (e a) :=
by rw [e.image_eq_preimage, e.symm.preimage_Iic, e.symm_symm]
@[simp] lemma image_Ici (e : α ≃o β) (a : α) : e '' (Ici a) = Ici (e a) :=
e.dual.image_Iic a
@[simp] lemma image_Iio (e : α ≃o β) (a : α) : e '' (Iio a) = Iio (e a) :=
by rw [e.image_eq_preimage, e.symm.preimage_Iio, e.symm_symm]
@[simp] lemma image_Ioi (e : α ≃o β) (a : α) : e '' (Ioi a) = Ioi (e a) :=
e.dual.image_Iio a
@[simp] lemma image_Ioo (e : α ≃o β) (a b : α) : e '' (Ioo a b) = Ioo (e a) (e b) :=
by rw [e.image_eq_preimage, e.symm.preimage_Ioo, e.symm_symm]
@[simp] lemma image_Ioc (e : α ≃o β) (a b : α) : e '' (Ioc a b) = Ioc (e a) (e b) :=
by rw [e.image_eq_preimage, e.symm.preimage_Ioc, e.symm_symm]
@[simp] lemma image_Ico (e : α ≃o β) (a b : α) : e '' (Ico a b) = Ico (e a) (e b) :=
by rw [e.image_eq_preimage, e.symm.preimage_Ico, e.symm_symm]
@[simp] lemma image_Icc (e : α ≃o β) (a b : α) : e '' (Icc a b) = Icc (e a) (e b) :=
by rw [e.image_eq_preimage, e.symm.preimage_Icc, e.symm_symm]
end preorder
/-- Order isomorphism between `Iic (⊤ : α)` and `α` when `α` has a top element -/
def Iic_top [order_top α] : set.Iic (⊤ : α) ≃o α :=
{ map_rel_iff' := λ x y, by refl,
.. (@equiv.subtype_univ_equiv α (set.Iic (⊤ : α)) (λ x, le_top)), }
/-- Order isomorphism between `Ici (⊥ : α)` and `α` when `α` has a bottom element -/
def Ici_bot [order_bot α] : set.Ici (⊥ : α) ≃o α :=
{ map_rel_iff' := λ x y, by refl,
.. (@equiv.subtype_univ_equiv α (set.Ici (⊥ : α)) (λ x, bot_le)) }
end order_iso
|
ac0d625fc45b56569dddc6bee9ec18ea233acf4e | a0e23cfdd129a671bf3154ee1a8a3a72bf4c7940 | /tests/lean/223.lean | 34ef6ca33529bdbd71a7c9cd25b6b6be79ca8555 | [
"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 | 335 | lean | universe u v
inductive Imf {α : Type u} {β : Type v} (f : α → β) : β → Type (max u v)
| mk : (a : α) → Imf f (f a)
def h {α β} {f : α → β} : {b : β} → Imf f b → α
| _, Imf.mk a => a
#print h
theorem ex : ∀ {α β : Sort u} (h : α = β) (a : α), cast h a ≅ a
| α, _, rfl, a => HEq.refl a
#print ex
|
4c71846fd079e357fa2ae75fb0756db3b9b58731 | fe84e287c662151bb313504482b218a503b972f3 | /src/commutative_algebra/book/sec_rings.lean | ed2dc37a3299123b60b5eff10fa60fad32b562ba | [] | 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 | 8,253 | lean | import algebra.ring data.rat data.real.basic data.complex.basic
import data.nat.prime ring_theory.subring.basic number_theory.zsqrtd.gaussian_int data.zmod.basic
import topology.constructions topology.continuous_function.algebra topology.instances.real
import data.mv_polynomial
import tactic.ring
import commutative_algebra.local_integers
import commutative_algebra.galois_field_4
import commutative_algebra.ring_of_subsets
namespace sec_rings
variable (n : ℕ+)
/- -------------------------------------------------------- -/
/- defn-ring -/
#print comm_ring
/- eg-numbers -/
#check (by apply_instance : comm_ring ℤ)
#check (by apply_instance : comm_ring ℚ)
#check (by apply_instance : comm_ring ℝ)
#check (by apply_instance : comm_ring ℂ)
#check (by apply_instance : comm_semiring ℕ)
-- #check (by apply_instance : comm_ring ℕ) -- fails
/- -------------------------------------------------------- -/
/- eg-tw-local -/
#check (by apply_instance : comm_ring (local_integers 2))
#check (by apply_instance : comm_ring gaussian_int)
/- -------------------------------------------------------- -/
/- defn-subring -/
#print subring
/- -------------------------------------------------------- -/
/- eg-subrings -/
-- TO DO
/- -------------------------------------------------------- -/
/- eg-modular -/
#check (by apply_instance : comm_ring (zmod n))
/- -------------------------------------------------------- -/
/- eg-trivial-ring -/
def unit_comm_ring : comm_ring unit := by { apply_instance }
/- -------------------------------------------------------- -/
/- eg-square-matrices -/
-- TO DO
/- -------------------------------------------------------- -/
/- eg-F-four -/
#check F4
#check (by apply_instance : field F4) -- from galois_field_4.lean
/- -------------------------------------------------------- -/
/- eg-boolean -/
namespace eg_boolean
universes uS
variables (S : Type uS)
#check (by apply_instance : comm_ring (ring_of_subsets S))
end eg_boolean
/- -------------------------------------------------------- -/
/- defn-binary-product -/
namespace defn_binary_product
universes uA uB
variables (A : Type uA) (B : Type uB) [comm_ring A] [comm_ring B]
#check (by apply_instance : comm_ring (A × B))
example (a a' : A) (b b' : B) :
(prod.mk a b) * (prod.mk a' b') = prod.mk (a * a') (b * b') := rfl
end defn_binary_product
/- -------------------------------------------------------- -/
/- rem axis-not_subring -/
namespace axis_not_subring
lemma axis_not_subring (A B : Type*) [comm_ring A] [comm_ring B]
(hB : (1 : B) ≠ 0) {S : subring (A × B)}
(hS : S.carrier = (λ ab : (A × B), ab.snd = 0)) : false :=
begin
let h := S.one_mem,
rw[← subring.mem_carrier, hS] at h,
exact hB h,
end
end axis_not_subring
/- -------------------------------------------------------- -/
/- rem-infinite-product -/
-- TO DO
/- -------------------------------------------------------- -/
/- defn-map-ring -/
namespace defn_map_ring
universes uA uS
variables (A : Type uA) [comm_ring A] (S : Type uS)
#check (by apply_instance : comm_ring (S → A))
end defn_map_ring
/- -------------------------------------------------------- -/
/- rem-function-rings -/
namespace rem_function_rings
universe uX
variables (X : Type uX) [topological_space X]
noncomputable def R : (comm_ring (continuous_map X ℝ)) :=
continuous_map.comm_ring
end rem_function_rings
/- -------------------------------------------------------- -/
/- eg-sunset -/
namespace eg_sunset
def X := { xy : ℝ × ℝ // (xy.1 ^ 2 + xy.2 ^ 2 - 1) * xy.2 = 0 }
noncomputable instance :
topological_space X := by { unfold X, apply_instance }
@[reducible ]
def CX := continuous_map X ℝ
noncomputable instance CX_comm_ring : comm_ring CX :=
by { unfold CX, exact continuous_map.comm_ring }
def CX.x : CX := ⟨prod.fst ∘ subtype.val,
continuous.comp continuous_fst continuous_subtype_val⟩
def CX.y : CX := ⟨prod.snd ∘ subtype.val,
continuous.comp continuous_snd continuous_subtype_val⟩
lemma CX.x_def (xy : X) : CX.x xy = xy.val.1 := rfl
lemma CX.y_def (xy : X) : CX.y xy = xy.val.2 := rfl
lemma CX.rel : (CX.x ^ 2 + CX.y ^2 - 1) * CX.y = 0 :=
begin
ext ab, rcases ab with ⟨⟨a,b⟩,e⟩, exact e
end
@[derive decidable_eq]
inductive A_gens
| x : A_gens
| y : A_gens
def PX := mv_polynomial A_gens ℝ
noncomputable instance PX_comm_ring :
comm_ring PX := by {unfold PX, apply_instance}
noncomputable def PX.x : PX := @mv_polynomial.X ℝ A_gens _ A_gens.x
noncomputable def PX.y : PX := @mv_polynomial.X ℝ A_gens _ A_gens.y
noncomputable def PX.relator : PX := (PX.x ^ 2 + PX.y ^ 2 - 1) * PX.y
def φ₀ : ℝ →+* CX := {
to_fun := λ c, ⟨(λ u, c),continuous_const⟩,
map_zero' := by { ext, refl },
map_add' := λ c d, by { ext, refl },
map_one' := by { ext, refl },
map_mul' := λ c d, by { ext, refl }
}
def φ₁ : A_gens → CX
| A_gens.x := CX.x
| A_gens.y := CX.y
noncomputable def φ : PX →+* CX :=
mv_polynomial.eval₂_hom φ₀ φ₁
end eg_sunset
/- -------------------------------------------------------- -/
/- defn-general-product -/
-- TO DO
/- -------------------------------------------------------- -/
/- rem-product-subring -/
-- TO DO
/- -------------------------------------------------------- -/
/- eg-padic -/
namespace eg_padic
variables (p : ℕ) [fact (p > 0)]
lemma p_pow_pos (k : ℕ) : fact (p ^ k > 0) := fact.mk begin
have h : p > 0 := fact.elim (by apply_instance),
exact pow_pos h k
end
local attribute [instance] p_pow_pos
def P := ∀ (k : ℕ), (zmod (p ^ k))
instance P_ring : comm_ring (P p) := by { unfold P, apply_instance }
def π (k : ℕ) : zmod (p ^ (k + 1)) →+* zmod (p ^ k) :=
zmod.cast_hom (pow_dvd_pow p (le_of_lt (nat.lt_succ_self k))) (zmod (p ^ k))
def is_coherent (a : P p) := ∀ (k : ℕ), π p k (a (k + 1)) = (a k)
def p_adic_integers : subring (P p) := {
carrier := is_coherent p,
zero_mem' := by { intro k, change π p k 0 = 0,
exact ring_hom.map_zero _ },
add_mem' := by { intros a b ha hb k,
change π p k ((a (k + 1)) + (b (k + 1))) = (a k) + (b k),
rw[ring_hom.map_add, ha k, hb k],
},
neg_mem' := by { intros a ha k,
change π p k (- (a (k + 1))) = - (a k),
rw[ring_hom.map_neg,ha k],
},
one_mem' := by { intro k, change π p k 1 = 1,
exact ring_hom.map_one _ },
mul_mem' := by { intros a b ha hb k,
change π p k ((a (k + 1)) * (b (k + 1))) = (a k) * (b k),
rw[ring_hom.map_mul, ha k, hb k],
}
}
variables (q : ℕ) [fact q.prime]
lemma q_pos : fact (q > 0) :=
⟨nat.prime.pos (fact.elim (by { apply_instance }))⟩
lemma q_pred (k : ℕ) : (q.pred : (zmod (q ^ k))) = (q : (zmod (q ^ k))) - 1 :=
begin
have h : q.pred + 1 = q :=
nat.succ_pred_eq_of_pos (fact.elim (by {apply_instance})),
symmetry, rw[sub_eq_iff_eq_add, ← nat.cast_one, ← nat.cast_add, h]
end
local attribute [instance] q_pos
def a₀ : ℕ → ℕ
| 0 := 0
| (k + 1) := (a₀ k) + q ^ k
lemma a₀_step (k : ℕ) : a₀ q (k + 1) = 1 + q * (a₀ q k) :=
begin
induction k with k ih,
{ dsimp[a₀], rw[pow_zero, mul_zero, zero_add] },
{ have h₀ : 1 + q * (a₀ q (k + 1)) = 1 + q * (a₀ q k) + q ^ (k + 1) :=
by { rw[a₀, mul_add, add_assoc, pow_succ] },
have h₁ : a₀ q (k + 2) = a₀ q (k + 1) + q ^ (k + 1) := rfl,
rw[h₀, h₁, ih]
}
end
def a : p_adic_integers q := ⟨
λ k, (a₀ q k),
begin
intro k,
change π q k (a₀ q (k + 1)) = a₀ q k,
rw[map_nat_cast,a₀],
rw[nat.cast_add,zmod.nat_cast_self,add_zero]
end
⟩
def b : p_adic_integers q := ⟨λ k, (q : zmod (q ^ k)) - 1,
begin
intro k,
change π q k (q - 1) = (q - 1),
rw[← q_pred, ← q_pred, map_nat_cast],
end
⟩
lemma ab : (a q) * (b q) = - 1 :=
begin
rw[mul_comm],
ext k,
change ((q : zmod (q ^ k)) - 1) * (a₀ q k) = - (1 : (zmod (q ^ k))),
rw[sub_mul, one_mul, sub_eq_iff_eq_add', ← sub_eq_add_neg],
symmetry,
rw[sub_eq_iff_eq_add', ← nat.cast_one, ← nat.cast_mul, ← nat.cast_add],
rw[← a₀_step, a₀, nat.cast_add, zmod.nat_cast_self, add_zero]
end
end eg_padic
end sec_rings |
3b5f49c472e810d82094702dc273ff35f7a57236 | 947b78d97130d56365ae2ec264df196ce769371a | /stage0/src/Lean/Elab/Match.lean | 49432830a14400daf9110990b0426ff620172c1c | [
"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 | 33,329 | 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.Match.MatchPatternAttr
import Lean.Meta.Match.Match
import Lean.Elab.SyntheticMVars
import Lean.Elab.App
namespace Lean
namespace Elab
namespace Term
open Meta
/- This modules assumes "match"-expressions use the following syntax.
```lean
def matchAlt : Parser :=
nodeWithAntiquot "matchAlt" `Lean.Parser.Term.matchAlt $
sepBy1 termParser ", " >> darrow >> termParser
def matchAlts (optionalFirstBar := true) : Parser :=
group $ withPosition $ fun pos =>
(if optionalFirstBar then optional "| " else "| ") >>
sepBy1 matchAlt (checkColGe pos.column "alternatives must be indented" >> "|")
def matchDiscr := parser! optional (try (ident >> checkNoWsBefore "no space before ':'" >> ":")) >> termParser
def «match» := parser!:leadPrec "match " >> sepBy1 matchDiscr ", " >> optType >> " with " >> matchAlts
```
-/
structure MatchAltView :=
(ref : Syntax)
(patterns : Array Syntax)
(rhs : Syntax)
def mkMatchAltView (ref : Syntax) (matchAlt : Syntax) : MatchAltView :=
{ ref := ref, patterns := (matchAlt.getArg 0).getArgs.getSepElems, rhs := matchAlt.getArg 2 }
private def expandSimpleMatch (stx discr lhsVar rhs : Syntax) (expectedType? : Option Expr) : TermElabM Expr := do
newStx ← `(let $lhsVar := $discr; $rhs);
withMacroExpansion stx newStx $ elabTerm newStx expectedType?
private def expandSimpleMatchWithType (stx discr lhsVar type rhs : Syntax) (expectedType? : Option Expr) : TermElabM Expr := do
newStx ← `(let $lhsVar : $type := $discr; $rhs);
withMacroExpansion stx newStx $ elabTerm newStx expectedType?
private partial def elabDiscrsWitMatchTypeAux (discrStxs : Array Syntax) (expectedType : Expr) : Nat → Expr → Array Expr → TermElabM (Array Expr)
| i, matchType, discrs =>
if h : i < discrStxs.size then do
let discrStx := (discrStxs.get ⟨i, h⟩).getArg 1;
matchType ← whnf matchType;
match matchType with
| Expr.forallE _ d b _ => do
discr ← fullApproxDefEq $ elabTermEnsuringType discrStx d;
trace `Elab.match fun _ => "discr #" ++ toString i ++ " " ++ discr ++ " : " ++ d;
elabDiscrsWitMatchTypeAux (i+1) (b.instantiate1 discr) (discrs.push discr)
| _ => throwError ("invalid type provided to match-expression, function type with arity #" ++ toString discrStxs ++ " expected")
else do
unlessM (fullApproxDefEq $ isDefEq matchType expectedType) $
throwError ("invalid result type provided to match-expression" ++ indentExpr matchType ++ Format.line ++ "expected type" ++ indentExpr expectedType);
pure discrs
private def elabDiscrsWitMatchType (discrStxs : Array Syntax) (matchType : Expr) (expectedType : Expr) : TermElabM (Array Expr) :=
elabDiscrsWitMatchTypeAux discrStxs expectedType 0 matchType #[]
private def mkUserNameFor (e : Expr) : TermElabM Name :=
match e with
| Expr.fvar fvarId _ => do localDecl ← getLocalDecl fvarId; pure localDecl.userName
| _ => mkFreshBinderName
private def elabMatchTypeAndDiscrsAux (discrStxs : Array Syntax) : Nat → Array Expr → Expr → Array MatchAltView → TermElabM (Array Expr × Expr × Array MatchAltView)
| 0, discrs, matchType, matchAltViews => pure (discrs.reverse, matchType, matchAltViews)
| i+1, discrs, matchType, matchAltViews => do
let discrStx := discrStxs.get! i;
discr ← elabTerm (discrStx.getArg 1) none;
discr ← instantiateMVars discr;
discrType ← inferType discr;
discrType ← instantiateMVars discrType;
matchTypeBody ← kabstract matchType discr;
userName ← mkUserNameFor discr;
if (discrStx.getArg 0).isNone then do
elabMatchTypeAndDiscrsAux i (discrs.push discr) (Lean.mkForall userName BinderInfo.default discrType matchTypeBody) matchAltViews
else
let identStx := (discrStx.getArg 0).getArg 0;
withLocalDeclD userName discrType fun x => do
eqType ← mkEq discr x;
withLocalDeclD identStx.getId eqType fun h => do
let matchTypeBody := matchTypeBody.instantiate1 x;
matchType ← mkForallFVars #[x, h] matchTypeBody;
refl ← mkEqRefl discr;
let discrs := (discrs.push refl).push discr;
let matchAltViews := matchAltViews.map fun altView =>
{ altView with patterns := altView.patterns.insertAt (i+1) identStx };
elabMatchTypeAndDiscrsAux i discrs matchType matchAltViews
private def elabMatchTypeAndDiscrs (discrStxs : Array Syntax) (matchOptType : Syntax) (matchAltViews : Array MatchAltView) (expectedType : Expr)
: TermElabM (Array Expr × Expr × Array MatchAltView) :=
let numDiscrs := discrStxs.size;
if matchOptType.isNone then do
elabMatchTypeAndDiscrsAux discrStxs discrStxs.size #[] expectedType matchAltViews
else do
let matchTypeStx := (matchOptType.getArg 0).getArg 1;
matchType ← elabType matchTypeStx;
discrs ← elabDiscrsWitMatchType discrStxs matchType expectedType;
pure (discrs, matchType, matchAltViews)
/-
nodeWithAntiquot "matchAlt" `Lean.Parser.Term.matchAlt $ sepBy1 termParser ", " >> darrow >> termParser
-/
def expandMacrosInPatterns (matchAlts : Array MatchAltView) : MacroM (Array MatchAltView) := do
matchAlts.mapM fun matchAlt => do
patterns ← matchAlt.patterns.mapM $ expandMacros;
pure $ { matchAlt with patterns := patterns }
private partial def getMatchAltsAux (args : Array Syntax) : Nat → Syntax → Array MatchAltView → Array MatchAltView
| i, ref, result =>
if h : i < args.size then
let arg := args.get ⟨i, h⟩;
let ref := if ref.isNone then arg else ref; -- The first vertical is optional
if arg.getKind == `Lean.Parser.Term.matchAlt then
getMatchAltsAux (i+1) ref (result.push (mkMatchAltView ref arg))
else
-- current `arg` is the vertical bar delimiter
getMatchAltsAux (i+1) arg result
else
result
/- Given `stx` a match-expression, return its alternatives. -/
private def getMatchAlts (stx : Syntax) : Array MatchAltView :=
let matchAlts := stx.getArg 4;
let firstVBar := matchAlts.getArg 0;
getMatchAltsAux (matchAlts.getArg 1).getArgs 0 firstVBar #[]
/--
Auxiliary annotation used to mark terms marked with the "inaccessible" annotation `.(t)` and
`_` in patterns. -/
def mkInaccessible (e : Expr) : Expr :=
mkAnnotation `_inaccessible e
def inaccessible? (e : Expr) : Option Expr :=
annotation? `_inaccessible e
inductive PatternVar
| localVar (userName : Name)
-- anonymous variables (`_`) are encoded using metavariables
| anonymousVar (mvarId : MVarId)
instance PatternVar.hasToString : HasToString PatternVar :=
⟨fun v => match v with
| PatternVar.localVar x => toString x
| PatternVar.anonymousVar mvarId => "?m" ++ toString mvarId⟩
@[init] private def registerAuxiliaryNodeKind : IO Unit :=
Parser.registerBuiltinNodeKind `MVarWithIdKind
/--
Create an auxiliary Syntax node wrapping a fresh metavariable id.
We use this kind of Syntax for representing `_` occurring in patterns.
The metavariables are created before we elaborate the patterns into `Expr`s. -/
private def mkMVarSyntax : TermElabM Syntax := do
mvarId ← mkFreshId;
pure $ Syntax.node `MVarWithIdKind #[Syntax.node mvarId #[]]
/-- Given a syntax node constructed using `mkMVarSyntax`, return its MVarId -/
private def getMVarSyntaxMVarId (stx : Syntax) : MVarId :=
(stx.getArg 0).getKind
/--
The elaboration function for `Syntax` created using `mkMVarSyntax`.
It just converts the metavariable id wrapped by the Syntax into an `Expr`. -/
@[builtinTermElab MVarWithIdKind] def elabMVarWithIdKind : TermElab :=
fun stx expectedType? => pure $ mkInaccessible $ mkMVar (getMVarSyntaxMVarId stx)
@[builtinTermElab inaccessible] def elabInaccessible : TermElab :=
fun stx expectedType? => do
e ← elabTerm (stx.getArg 1) expectedType?;
pure $ mkInaccessible e
/-
Patterns define new local variables.
This module collect them and preprocess `_` occurring in patterns.
Recall that an `_` may represent anonymous variables or inaccessible terms
that are implied by typing constraints. Thus, we represent them with fresh named holes `?x`.
After we elaborate the pattern, if the metavariable remains unassigned, we transform it into
a regular pattern variable. Otherwise, it becomes an inaccessible term.
Macros occurring in patterns are expanded before the `collectPatternVars` method is executed.
The following kinds of Syntax are handled by this module
- Constructor applications
- Applications of functions tagged with the `[matchPattern]` attribute
- Identifiers
- Anonymous constructors
- Structure instances
- Inaccessible terms
- Named patterns
- Tuple literals
- Type ascriptions
- Literals: num, string and char
-/
namespace CollectPatternVars
structure State :=
(found : NameSet := {})
(vars : Array PatternVar := #[])
abbrev M := StateRefT State TermElabM
private def throwCtorExpected {α} : M α :=
throwError "invalid pattern, constructor or constant marked with '[matchPattern]' expected"
private def getNumExplicitCtorParams (ctorVal : ConstructorVal) : TermElabM Nat :=
forallBoundedTelescope ctorVal.type ctorVal.nparams fun ps _ =>
ps.foldlM
(fun acc p => do
localDecl ← getLocalDecl p.fvarId!;
if localDecl.binderInfo.isExplicit then pure $ acc+1 else pure acc)
0
private def throwAmbiguous {α} (fs : List Expr) : M α :=
throwError ("ambiguous pattern, use fully qualified name, possible interpretations " ++ fs)
def resolveId? (stx : Syntax) : M (Option Expr) :=
match stx with
| Syntax.ident _ _ val preresolved => do
rs ← liftM $ catch (resolveName val preresolved []) (fun _ => pure []);
let rs := rs.filter fun ⟨f, projs⟩ => projs.isEmpty;
let fs := rs.map fun ⟨f, _⟩ => f;
match fs with
| [] => pure none
| [f] => pure (some f)
| _ => throwAmbiguous fs
| _ => throwError "identifier expected"
private def throwInvalidPattern {α} : M α :=
throwError "invalid pattern"
namespace CtorApp
/-
An application in a pattern can be
1- A constructor application
The elaborator assumes fields are accessible and inductive parameters are not accessible.
2- A regular application `(f ...)` where `f` is tagged with `[matchPattern]`.
The elaborator assumes implicit arguments are not accessible and explicit ones are accessible.
-/
structure Context :=
(funId : Syntax)
(ctorVal? : Option ConstructorVal) -- It is `some`, if constructor application
(explicit : Bool)
(ellipsis : Bool)
(paramDecls : Array LocalDecl)
(paramDeclIdx : Nat := 0)
(namedArgs : Array NamedArg)
(args : List Arg)
(newArgs : Array Syntax := #[])
instance Context.inhabited : Inhabited Context :=
⟨⟨arbitrary _, none, false, false, #[], 0, #[], [], #[]⟩⟩
private def isDone (ctx : Context) : Bool :=
ctx.paramDeclIdx ≥ ctx.paramDecls.size
private def finalize (ctx : Context) : M Syntax :=
if ctx.namedArgs.isEmpty && ctx.args.isEmpty then do
fStx ← `(@$(ctx.funId):ident);
pure $ mkAppStx fStx ctx.newArgs
else
throwError "too many arguments"
private def isNextArgAccessible (ctx : Context) : Bool :=
let i := ctx.paramDeclIdx;
match ctx.ctorVal? with
| some ctorVal => i ≥ ctorVal.nparams -- For constructor applications only fields are accessible
| none =>
if h : i < ctx.paramDecls.size then
-- For `[matchPattern]` applications, only explicit parameters are accessible.
let d := ctx.paramDecls.get ⟨i, h⟩;
d.binderInfo.isExplicit
else
false
private def getNextParam (ctx : Context) : LocalDecl × Context :=
let i := ctx.paramDeclIdx;
let d := ctx.paramDecls.get! i;
(d, { ctx with paramDeclIdx := ctx.paramDeclIdx + 1 })
private def pushNewArg (collect : Syntax → M Syntax) (accessible : Bool) (ctx : Context) (arg : Arg) : M Context :=
match arg with
| Arg.stx stx => do
stx ← if accessible then collect stx else pure stx;
pure { ctx with newArgs := ctx.newArgs.push stx }
| _ => unreachable!
private def processExplicitArg (collect : Syntax → M Syntax) (accessible : Bool) (ctx : Context) : M Context :=
match ctx.args with
| [] =>
if ctx.ellipsis then do
hole ← `(_);
pushNewArg collect accessible ctx (Arg.stx hole)
else
throwError ("explicit parameter is missing, unused named arguments " ++ toString (ctx.namedArgs.map $ fun narg => narg.name))
| arg::args => do
let ctx := { ctx with args := args };
pushNewArg collect accessible ctx arg
private def processImplicitArg (collect : Syntax → M Syntax) (accessible : Bool) (ctx : Context) : M Context :=
if ctx.explicit then
processExplicitArg collect accessible ctx
else do
hole ← `(_);
pushNewArg collect accessible ctx (Arg.stx hole)
private partial def processCtorAppAux (collect : Syntax → M Syntax) : Context → M Syntax
| ctx =>
if isDone ctx then finalize ctx
else
let accessible := isNextArgAccessible ctx;
let (d, ctx) := getNextParam ctx;
match ctx.namedArgs.findIdx? (fun namedArg => namedArg.name == d.userName) with
| some idx => do
let arg := ctx.namedArgs.get! idx;
let ctx := { ctx with namedArgs := ctx.namedArgs.eraseIdx idx };
ctx ← pushNewArg collect accessible ctx arg.val;
processCtorAppAux ctx
| none => do
ctx ← match d.binderInfo with
| BinderInfo.implicit => processImplicitArg collect accessible ctx
| BinderInfo.instImplicit => processImplicitArg collect accessible ctx
| _ => processExplicitArg collect accessible ctx;
processCtorAppAux ctx
def processCtorApp (collect : Syntax → M Syntax) (f : Syntax) (namedArgs : Array NamedArg) (args : Array Arg) (ellipsis : Bool) : M Syntax := do
let args := args.toList;
(fId, explicit) ← match_syntax f with
| `($fId:ident) => pure (fId, false)
| `(@$fId:ident) => pure (fId, true)
| _ => throwError "identifier expected";
some (Expr.const fName _ _) ← resolveId? fId | throwCtorExpected;
fInfo ← getConstInfo fName;
forallTelescopeReducing fInfo.type fun xs _ => do
paramDecls ← xs.mapM getFVarLocalDecl;
match fInfo with
| ConstantInfo.ctorInfo val =>
processCtorAppAux collect
{ funId := fId, explicit := explicit, ctorVal? := val, paramDecls := paramDecls, namedArgs := namedArgs, args := args, ellipsis := ellipsis }
| _ => do
env ← getEnv;
if hasMatchPatternAttribute env fName then
processCtorAppAux collect
{ funId := fId, explicit := explicit, ctorVal? := none, paramDecls := paramDecls, namedArgs := namedArgs, args := args, ellipsis := ellipsis }
else
throwCtorExpected
end CtorApp
def processCtorApp (collect : Syntax → M Syntax) (stx : Syntax) : M Syntax := do
(f, namedArgs, args, ellipsis) ← liftM $ expandApp stx true;
CtorApp.processCtorApp collect f namedArgs args ellipsis
def processCtor (collect : Syntax → M Syntax) (stx : Syntax) : M Syntax := do
CtorApp.processCtorApp collect stx #[] #[] false
private def processVar (idStx : Syntax) : M Syntax := do
unless idStx.isIdent $
throwErrorAt idStx "identifier expected";
let id := idStx.getId;
unless id.eraseMacroScopes.isAtomic $ throwError "invalid pattern variable, must be atomic";
s ← get;
when (s.found.contains id) $ throwError ("invalid pattern, variable '" ++ id ++ "' occurred more than once");
modify fun s => { s with vars := s.vars.push (PatternVar.localVar id), found := s.found.insert id };
pure idStx
/- Check whether `stx` is a pattern variable or constructor-like (i.e., constructor or constant tagged with `[matchPattern]` attribute) -/
private def processId (collect : Syntax → M Syntax) (stx : Syntax) : M Syntax := do
env ← getEnv;
f? ← resolveId? stx;
match f? with
| none => processVar stx
| some f => match f with
| Expr.const fName _ _ => do
match env.find? fName with
| some (ConstantInfo.ctorInfo _) => processCtor collect stx
| some _ =>
if hasMatchPatternAttribute env fName then
processCtor collect stx
else
processVar stx
| none => throwCtorExpected
| _ => processVar stx
private def nameToPattern : Name → TermElabM Syntax
| Name.anonymous => `(Name.anonymous)
| Name.str p s _ => do p ← nameToPattern p; `(Name.str $p $(quote s) _)
| Name.num p n _ => do p ← nameToPattern p; `(Name.num $p $(quote n) _)
private def quotedNameToPattern (stx : Syntax) : TermElabM Syntax :=
match (stx.getArg 0).isNameLit? with
| some val => nameToPattern val
| none => throwIllFormedSyntax
partial def collect : Syntax → M Syntax
| stx@(Syntax.node k args) => withRef stx $ withFreshMacroScope $
if k == `Lean.Parser.Term.app then do
processCtorApp collect stx
else if k == `Lean.Parser.Term.anonymousCtor then do
elems ← (args.get! 1).getArgs.mapSepElemsM $ collect;
pure $ Syntax.node k $ args.set! 1 $ mkNullNode elems
else if k == `Lean.Parser.Term.structInst then do
/- { " >> optional (try (termParser >> " with ")) >> sepBy structInstField ", " true >> optional ".." >> optional (" : " >> termParser) >> " }" -/
let withMod := args.get! 1;
unless withMod.isNone $
throwErrorAt withMod "invalid struct instance pattern, 'with' is not allowed in patterns";
let fields := (args.get! 2).getArgs;
fields ← fields.mapSepElemsM fun field => do {
-- parser! structInstLVal >> " := " >> termParser
newVal ← collect (field.getArg 3); -- `structInstLVal` has arity 2
pure $ field.setArg 3 newVal
};
pure $ Syntax.node k $ args.set! 2 $ mkNullNode fields
else if k == `Lean.Parser.Term.hole then do
r ← liftM mkMVarSyntax;
modify fun s => { s with vars := s.vars.push $ PatternVar.anonymousVar $ getMVarSyntaxMVarId r };
pure r
else if k == `Lean.Parser.Term.paren then
let arg := args.get! 1;
if arg.isNone then
pure stx -- `()`
else do
let t := arg.getArg 0;
let s := arg.getArg 1;
if s.isNone || (s.getArg 0).isOfKind `Lean.Parser.Term.typeAscription then do
-- Ignore `s`, since it empty or it is a type ascription
t ← collect t;
let arg := arg.setArg 0 t;
pure $ Syntax.node k $ args.set! 1 arg
else do
-- Tuple literal is a constructor
t ← collect t;
let arg := arg.setArg 0 t;
let tupleTail := s.getArg 0;
let tupleTailElems := (tupleTail.getArg 1).getArgs;
tupleTailElems ← tupleTailElems.mapSepElemsM collect;
let tupleTail := tupleTail.setArg 1 $ mkNullNode tupleTailElems;
let s := s.setArg 0 tupleTail;
let arg := arg.setArg 1 s;
pure $ Syntax.node k $ args.set! 1 arg
else if k == `Lean.Parser.Term.explicitUniv then do
processCtor collect (stx.getArg 0)
else if k == `Lean.Parser.Term.namedPattern then do
/- Recall that
def namedPattern := check... >> tparser! "@" >> termParser -/
let id := stx.getArg 0;
processVar id;
let pat := stx.getArg 2;
pat ← collect pat;
`(namedPattern $id $pat)
else if k == `Lean.Parser.Term.inaccessible then
pure stx
else if k == strLitKind then
pure stx
else if k == numLitKind then
pure stx
else if k == charLitKind then
pure stx
else if k == `Lean.Parser.Term.quotedName then
/- Quoted names have an elaboration function associated with them, and they will not be macro expanded.
Note that macro expansion is not a good option since it produces a term using the smart constructors `mkNameStr`, `mkNameNum`
instead of the constructors `Name.str` and `Name.num` -/
liftM $ quotedNameToPattern stx
else if k == choiceKind then
throwError "invalid pattern, notation is ambiguous"
else
throwInvalidPattern
| stx@(Syntax.ident _ _ _ _) =>
processId collect stx
| stx =>
throwInvalidPattern
def main (alt : MatchAltView) : M MatchAltView := do
patterns ← alt.patterns.mapM fun p => do {
trace `Elab.match fun _ => "collecting variables at pattern: " ++ p;
collect p
};
pure { alt with patterns := patterns }
end CollectPatternVars
private def collectPatternVars (alt : MatchAltView) : TermElabM (Array PatternVar × MatchAltView) := do
(alt, s) ← (CollectPatternVars.main alt).run {};
pure (s.vars, alt)
/- Return the pattern variables in the given pattern.
Remark: this method is not used here, but in other macros (e.g., at `Do.lean`). -/
def getPatternVars (patternStx : Syntax) : TermElabM (Array PatternVar) := do
(_, s) ← (CollectPatternVars.collect patternStx).run {};
pure s.vars
/- We convert the collected `PatternVar`s intro `PatternVarDecl` -/
inductive PatternVarDecl
/- For `anonymousVar`, we create both a metavariable and a free variable. The free variable is used as an assignment for the metavariable
when it is not assigned during pattern elaboration. -/
| anonymousVar (mvarId : MVarId) (fvarId : FVarId)
| localVar (fvarId : FVarId)
private partial def withPatternVarsAux {α} (pVars : Array PatternVar) (k : Array PatternVarDecl → TermElabM α)
: Nat → Array PatternVarDecl → TermElabM α
| i, decls =>
if h : i < pVars.size then
match pVars.get ⟨i, h⟩ with
| PatternVar.anonymousVar mvarId => do
type ← mkFreshTypeMVar;
userName ← mkFreshBinderName;
withLocalDecl userName BinderInfo.default type fun x =>
withPatternVarsAux (i+1) (decls.push (PatternVarDecl.anonymousVar mvarId x.fvarId!))
| PatternVar.localVar userName => do
type ← mkFreshTypeMVar;
withLocalDecl userName BinderInfo.default type fun x =>
withPatternVarsAux (i+1) (decls.push (PatternVarDecl.localVar x.fvarId!))
else do
/- We must create the metavariables for `PatternVar.anonymousVar` AFTER we create the new local decls using `withLocalDecl`.
Reason: their scope must include the new local decls since some of them are assigned by typing constraints. -/
decls.forM fun decl => match decl with
| PatternVarDecl.anonymousVar mvarId fvarId => do
type ← inferType (mkFVar fvarId);
_ ← mkFreshExprMVarWithId mvarId type;
pure ()
| _ => pure ();
k decls
private def withPatternVars {α} (pVars : Array PatternVar) (k : Array PatternVarDecl → TermElabM α) : TermElabM α :=
withPatternVarsAux pVars k 0 #[]
private partial def elabPatternsAux (patternStxs : Array Syntax) : Nat → Expr → Array Expr → TermElabM (Array Expr × Expr)
| i, matchType, patterns =>
if h : i < patternStxs.size then do
matchType ← whnf matchType;
match matchType with
| Expr.forallE _ d b _ => do
let patternStx := patternStxs.get ⟨i, h⟩;
pattern ← elabTermEnsuringType patternStx d;
elabPatternsAux (i+1) (b.instantiate1 pattern) (patterns.push pattern)
| _ => throwError "unexpected match type"
else
pure (patterns, matchType)
def finalizePatternDecls (patternVarDecls : Array PatternVarDecl) : TermElabM (Array LocalDecl) :=
patternVarDecls.foldlM
(fun (decls : Array LocalDecl) pdecl => do
match pdecl with
| PatternVarDecl.localVar fvarId => do
decl ← getLocalDecl fvarId;
decl ← instantiateLocalDeclMVars decl;
pure $ decls.push decl
| PatternVarDecl.anonymousVar mvarId fvarId => do
e ← instantiateMVars (mkMVar mvarId);
trace `Elab.match fun _ => "finalizePatternDecls: mvarId: " ++ mvarId ++ " := " ++ e ++ ", fvarId: " ++ mkFVar fvarId;
match e with
| Expr.mvar newMVarId _ => do
/- Metavariable was not assigned, or assigned to another metavariable. So,
we assign to the auxiliary free variable we created at `withPatternVars` to `newMVarId`. -/
assignExprMVar newMVarId (mkFVar fvarId);
trace `Elab.match fun _ => "finalizePatternDecls: " ++ mkMVar newMVarId ++ " := " ++ mkFVar fvarId;
decl ← getLocalDecl fvarId;
decl ← instantiateLocalDeclMVars decl;
pure $ decls.push decl
| _ => pure decls)
#[]
open Meta.Match (Pattern Pattern.var Pattern.inaccessible Pattern.ctor Pattern.as Pattern.val Pattern.arrayLit AltLHS MatcherResult)
namespace ToDepElimPattern
structure State :=
(found : NameSet := {})
(localDecls : Array LocalDecl)
(newLocals : NameSet := {})
abbrev M := StateRefT State TermElabM
private def alreadyVisited (fvarId : FVarId) : M Bool := do
s ← get;
pure $ s.found.contains fvarId
private def markAsVisited (fvarId : FVarId) : M Unit :=
modify $ fun s => { s with found := s.found.insert fvarId }
private def throwInvalidPattern {α} (e : Expr) : M α :=
throwError ("invalid pattern " ++ indentExpr e)
/- Create a new LocalDecl `x` for the metavariable `mvar`, and return `Pattern.var x` -/
private def mkLocalDeclFor (mvar : Expr) : M Pattern := do
let mvarId := mvar.mvarId!;
s ← get;
val? ← getExprMVarAssignment? mvarId;
match val? with
| some val => pure $ Pattern.inaccessible val
| none => do
fvarId ← mkFreshId;
type ← inferType mvar;
/- HACK: `fvarId` is not in the scope of `mvarId`
If this generates problems in the future, we should update the metavariable declarations. -/
assignExprMVar mvarId (mkFVar fvarId);
userName ← liftM $ mkFreshBinderName;
let newDecl := LocalDecl.cdecl (arbitrary _) fvarId userName type BinderInfo.default;
modify $ fun s =>
{ s with
newLocals := s.newLocals.insert fvarId,
localDecls :=
match s.localDecls.findIdx? fun decl => mvar.occurs decl.type with
| none => s.localDecls.push newDecl -- None of the existing declarations depend on `mvar`
| some i => s.localDecls.insertAt i newDecl };
pure $ Pattern.var fvarId
partial def main : Expr → M Pattern
| e =>
let isLocalDecl (fvarId : FVarId) : M Bool := do {
s ← get;
pure $ s.localDecls.any fun d => d.fvarId == fvarId
};
let mkPatternVar (fvarId : FVarId) (e : Expr) : M Pattern := do {
condM (alreadyVisited fvarId)
(pure $ Pattern.inaccessible e)
(do markAsVisited fvarId; pure $ Pattern.var e.fvarId!)
};
let mkInaccessible (e : Expr) : M Pattern := do {
match e with
| Expr.fvar fvarId _ =>
condM (isLocalDecl fvarId)
(mkPatternVar fvarId e)
(pure $ Pattern.inaccessible e)
| _ =>
pure $ Pattern.inaccessible e
};
match inaccessible? e with
| some t => mkInaccessible t
| none =>
match e.arrayLit? with
| some (α, lits) => do
ps ← lits.mapM main;
pure $ Pattern.arrayLit α ps
| none =>
if e.isAppOfArity `namedPattern 3 then do
p ← main $ e.getArg! 2;
match e.getArg! 1 with
| Expr.fvar fvarId _ => pure $ Pattern.as fvarId p
| _ => throwError "unexpected occurrence of auxiliary declaration 'namedPattern'"
else if e.isNatLit || e.isStringLit || e.isCharLit then
pure $ Pattern.val e
else if e.isFVar then do
let fvarId := e.fvarId!;
unlessM (isLocalDecl fvarId) $ throwInvalidPattern e;
mkPatternVar fvarId e
else if e.isMVar then do
mkLocalDeclFor e
else do
newE ← whnf e;
if newE != e then
main newE
else matchConstCtor e.getAppFn (fun _ => throwInvalidPattern e) fun v us => do
let args := e.getAppArgs;
unless (args.size == v.nparams + v.nfields) $ throwInvalidPattern e;
let params := args.extract 0 v.nparams;
let fields := args.extract v.nparams args.size;
fields ← fields.mapM main;
pure $ Pattern.ctor v.name us params.toList fields.toList
end ToDepElimPattern
def withDepElimPatterns {α} (localDecls : Array LocalDecl) (ps : Array Expr) (k : Array LocalDecl → Array Pattern → TermElabM α) : TermElabM α := do
(patterns, s) ← (ps.mapM ToDepElimPattern.main).run { localDecls := localDecls };
localDecls ← s.localDecls.mapM fun d => instantiateLocalDeclMVars d;
/- toDepElimPatterns may have added new localDecls. Thus, we must update the local context before we execute `k` -/
lctx ← getLCtx;
let lctx := localDecls.foldl (fun (lctx : LocalContext) d => lctx.erase d.fvarId) lctx;
let lctx := localDecls.foldl (fun (lctx : LocalContext) d => lctx.addDecl d) lctx;
adaptTheReader Meta.Context (fun ctx => { ctx with lctx := lctx }) $ k localDecls patterns
private def withElaboratedLHS {α} (ref : Syntax) (patternVarDecls : Array PatternVarDecl) (patternStxs : Array Syntax) (matchType : Expr)
(k : AltLHS → Expr → TermElabM α) : TermElabM α := do
(patterns, matchType) ← withSynthesize $ elabPatternsAux patternStxs 0 matchType #[];
localDecls ← finalizePatternDecls patternVarDecls;
patterns ← patterns.mapM instantiateMVars;
withDepElimPatterns localDecls patterns fun localDecls patterns =>
k { ref := ref, fvarDecls := localDecls.toList, patterns := patterns.toList } matchType
def elabMatchAltView (alt : MatchAltView) (matchType : Expr) : TermElabM (AltLHS × Expr) :=
withRef alt.ref do
(patternVars, alt) ← collectPatternVars alt;
trace `Elab.match fun _ => "patternVars: " ++ toString patternVars;
withPatternVars patternVars fun patternVarDecls => do
withElaboratedLHS alt.ref patternVarDecls alt.patterns matchType fun altLHS matchType => do
rhs ← elabTermEnsuringType alt.rhs matchType;
let xs := altLHS.fvarDecls.toArray.map LocalDecl.toExpr;
rhs ← if xs.isEmpty then pure $ mkThunk rhs else mkLambdaFVars xs rhs;
trace `Elab.match fun _ => "rhs: " ++ rhs;
pure (altLHS, rhs)
def mkMatcher (elimName : Name) (matchType : Expr) (numDiscrs : Nat) (lhss : List AltLHS) : TermElabM MatcherResult :=
liftMetaM $ Meta.Match.mkMatcher elimName matchType numDiscrs lhss
def reportMatcherResultErrors (result : MatcherResult) : TermElabM Unit := do
-- TODO: improve error messages
unless result.counterExamples.isEmpty $
throwError ("missing cases:" ++ Format.line ++ Meta.Match.counterExamplesToMessageData result.counterExamples);
unless result.unusedAltIdxs.isEmpty $
throwError ("unused alternatives: " ++ toString (result.unusedAltIdxs.map fun idx => "#" ++ toString (idx+1)))
private def elabMatchAux (discrStxs : Array Syntax) (altViews : Array MatchAltView) (matchOptType : Syntax) (expectedType : Expr)
: TermElabM Expr := do
(discrs, matchType, altViews) ← elabMatchTypeAndDiscrs discrStxs matchOptType altViews expectedType;
matchAlts ← liftMacroM $ expandMacrosInPatterns altViews;
trace `Elab.match fun _ => "matchType: " ++ matchType;
alts ← matchAlts.mapM $ fun alt => elabMatchAltView alt matchType;
synthesizeSyntheticMVarsNoPostponing;
-- TODO report error if matchType or altLHSS.toList have metavars
let rhss := alts.map Prod.snd;
let altLHSS := alts.map Prod.fst;
let numDiscrs := discrs.size;
matcherName ← mkAuxName `match;
matcherResult ← mkMatcher matcherName matchType numDiscrs altLHSS.toList;
motive ← forallBoundedTelescope matchType numDiscrs fun xs matchType => mkLambdaFVars xs matchType;
reportMatcherResultErrors matcherResult;
let r := mkApp matcherResult.matcher motive;
let r := mkAppN r discrs;
let r := mkAppN r rhss;
trace `Elab.match fun _ => "result: " ++ r;
pure r
private def waitExpectedType (expectedType? : Option Expr) : TermElabM Expr := do
tryPostponeIfNoneOrMVar expectedType?;
match expectedType? with
| some expectedType => pure expectedType
| none => mkFreshTypeMVar
/-
```
parser!:leadPrec "match " >> sepBy1 matchDiscr ", " >> optType >> " with " >> matchAlts
```
Remark the `optIdent` must be `none` at `matchDiscr`. They are expanded by `expandMatchDiscr?`.
-/
private def elabMatchCore (stx : Syntax) (expectedType? : Option Expr) : TermElabM Expr := do
expectedType ← waitExpectedType expectedType?;
let discrStxs := (stx.getArg 1).getArgs.getSepElems.map fun d => d;
let altViews := getMatchAlts stx;
let matchOptType := stx.getArg 2;
elabMatchAux discrStxs altViews matchOptType expectedType
-- parser! "match " >> sepBy1 termParser ", " >> optType >> " with " >> matchAlts
@[builtinTermElab «match»] def elabMatch : TermElab :=
fun stx expectedType? => match_syntax stx with
| `(match $discr:term with $y:ident => $rhs:term) => expandSimpleMatch stx discr y rhs expectedType?
| `(match $discr:term with | $y:ident => $rhs:term) => expandSimpleMatch stx discr y rhs expectedType?
| `(match $discr:term : $type with $y:ident => $rhs:term) => expandSimpleMatchWithType stx discr y type rhs expectedType?
| `(match $discr:term : $type with | $y:ident => $rhs:term) => expandSimpleMatchWithType stx discr y type rhs expectedType?
| _ => do
let discrs := (stx.getArg 1).getArgs;
let matchOptType := stx.getArg 2;
when (!matchOptType.isNone && discrs.getSepElems.any fun d => !(d.getArg 0).isNone) $
throwErrorAt matchOptType "match expected type should not be provided when discriminants with equality proofs are used";
elabMatchCore stx expectedType?
@[init] private def regTraceClasses : IO Unit := do
registerTraceClass `Elab.match;
pure ()
-- parser!:leadPrec "nomatch " >> termParser
@[builtinTermElab «nomatch»] def elabNoMatch : TermElab :=
fun stx expectedType? => match_syntax stx with
| `(nomatch $discrExpr) => do
expectedType ← waitExpectedType expectedType?;
let discr := Syntax.node `Lean.Parser.Term.matchDiscr #[mkNullNode, discrExpr];
elabMatchAux #[discr] #[] mkNullNode expectedType
| _ => throwUnsupportedSyntax
end Term
end Elab
end Lean
|
5bc3f5cc363279dc6101469a6f83e7e90b2d2e1c | ea5678cc400c34ff95b661fa26d15024e27ea8cd | /algebra_of_equiv.lean | 4fb98ea9630b3506c68f020a83dfb8372046d03d | [] | no_license | ChrisHughes24/leanstuff | dca0b5349c3ed893e8792ffbd98cbcadaff20411 | 9efa85f72efaccd1d540385952a6acc18fce8687 | refs/heads/master | 1,654,883,241,759 | 1,652,873,885,000 | 1,652,873,885,000 | 134,599,537 | 1 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 4,472 | lean | import data.equiv.basic algebra.field
universes u v
variables {α : Type u} {β : Type v} (e : α ≃ β)
namespace equiv
protected def has_zero [has_zero α] : has_zero β := ⟨e 0⟩
lemma zero_def [has_zero α] : @has_zero.zero _ (equiv.has_zero e) = e 0 := rfl
protected def has_one [has_one α] : has_one β := ⟨e 1⟩
lemma one_def [has_one α] : @has_one.one _ (equiv.has_one e) = e 1 := rfl
protected def has_mul [has_mul α] : has_mul β := ⟨λ x y, e (e.symm x * e.symm y)⟩
lemma mul_def [has_mul α] (x y : β) :
@has_mul.mul _ (equiv.has_mul e) x y = e (e.symm x * e.symm y) := rfl
protected def has_add [has_add α] : has_add β := ⟨λ x y, e (e.symm x + e.symm y)⟩
lemma add_def [has_add α] (x y : β) :
@has_add.add _ (equiv.has_add e) x y = e (e.symm x + e.symm y) := rfl
protected def has_inv [has_inv α] : has_inv β := ⟨λ x, e (e.symm x)⁻¹⟩
lemma inv_def [has_inv α] (x : β) : @has_inv.inv _ (equiv.has_inv e) x = e (e.symm x)⁻¹ := rfl
protected def has_neg [has_neg α] : has_neg β := ⟨λ x, e (- e.symm x)⟩
lemma neg_def [has_neg α] (x : β) : @has_neg.neg _ (equiv.has_neg e) x = e (-e.symm x) := rfl
protected def semigroup [semigroup α] : semigroup β :=
{ mul_assoc := by simp [mul_def, mul_assoc],
..equiv.has_mul e }
protected def comm_semigroup [comm_semigroup α] : comm_semigroup β :=
{ mul_comm := by simp [mul_def, mul_comm],
..equiv.semigroup e }
protected def monoid [monoid α] : monoid β :=
{ one_mul := by simp [mul_def, one_def],
mul_one := by simp [mul_def, one_def],
..equiv.semigroup e,
..equiv.has_one e }
protected def comm_monoid [comm_monoid α] : comm_monoid β :=
{ ..equiv.comm_semigroup e,
..equiv.monoid e }
protected def group [group α] : group β :=
{ mul_left_inv := by simp [mul_def, inv_def, one_def],
..equiv.monoid e,
..equiv.has_inv e }
protected def comm_group [comm_group α] : comm_group β :=
{ ..equiv.group e,
..equiv.comm_semigroup e }
protected def add_semigroup [add_semigroup α] : add_semigroup β :=
@additive.add_semigroup _ (@equiv.semigroup _ _ e multiplicative.semigroup)
protected def add_comm_semigroup [add_comm_semigroup α] : add_comm_semigroup β :=
@additive.add_comm_semigroup _ (@equiv.comm_semigroup _ _ e multiplicative.comm_semigroup)
protected def add_monoid [add_monoid α] : add_monoid β :=
@additive.add_monoid _ (@equiv.monoid _ _ e multiplicative.monoid)
protected def add_comm_monoid [add_comm_monoid α] : add_comm_monoid β :=
@additive.add_comm_monoid _ (@equiv.comm_monoid _ _ e multiplicative.comm_monoid)
protected def add_group [add_group α] : add_group β :=
@additive.add_group _ (@equiv.group _ _ e multiplicative.group)
protected def add_comm_group [add_comm_group α] : add_comm_group β :=
@additive.add_comm_group _ (@equiv.comm_group _ _ e multiplicative.comm_group)
protected def ring [ring α] : ring β :=
{ right_distrib := by simp [mul_def, add_def, add_mul],
left_distrib := by simp [mul_def, add_def, mul_add],
..equiv.has_mul e,
..equiv.has_add e,
..equiv.monoid e,
..equiv.add_comm_group e }
protected def comm_ring [comm_ring α] : comm_ring β :=
{ ..equiv.comm_monoid e,
..equiv.ring e }
protected def nonzero_comm_ring [nonzero_comm_ring α] : nonzero_comm_ring β :=
{ zero_ne_one := by simp [zero_def, one_def],
..equiv.has_zero e,
..equiv.has_one e,
..equiv.comm_ring e }
protected def integral_domain [integral_domain α] : integral_domain β :=
{ eq_zero_or_eq_zero_of_mul_eq_zero := by simp [mul_def, zero_def, equiv.symm_apply_eq],
..equiv.has_zero e,
..equiv.has_mul e,
..equiv.nonzero_comm_ring e }
protected def division_ring [division_ring α] : division_ring β :=
{ zero_ne_one := by simp [zero_def, one_def],
inv_mul_cancel := λ _,
by simp [mul_def, inv_def, zero_def, one_def, (equiv.symm_apply_eq _).symm];
exact inv_mul_cancel,
mul_inv_cancel := λ _,
by simp [mul_def, inv_def, zero_def, one_def, (equiv.symm_apply_eq _).symm];
exact mul_inv_cancel,
..equiv.has_zero e,
..equiv.has_one e,
..equiv.ring e,
..equiv.has_inv e }
protected def field [field α] : field β :=
{ ..equiv.comm_ring e,
..equiv.division_ring e }
protected def discrete_field [discrete_field α] : discrete_field β :=
{ has_decidable_eq := equiv.decidable_eq e.symm,
inv_zero := by simp [mul_def, inv_def, zero_def],
..equiv.has_mul e,
..equiv.has_inv e,
..equiv.has_zero e,
..equiv.field e }
end equiv
|
47ee99a2ad4db40b497e166dd0b7850d37990208 | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/1571.lean | b4c60b644bfd2dffecfadc8d84ec7993500881ab | [
"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 | 139 | lean | #check True → (∃ a : Nat, a = a)
-- True → ∃ a, a = a : Prop
#check True → (∃ b : Nat, b = b)
-- True → ∃ b, b = b : Prop
|
2d2311afd32beaf01336177ee38c17cebdc278fe | a7eef317ddec01b9fc6cfbb876fe7ac00f205ac7 | /src/data/int/basic.lean | 8c4cbd820993a89b379b4c4d1111ac13f4213f12 | [
"Apache-2.0"
] | permissive | kmill/mathlib | ea5a007b67ae4e9e18dd50d31d8aa60f650425ee | 1a419a9fea7b959317eddd556e1bb9639f4dcc05 | refs/heads/master | 1,668,578,197,719 | 1,593,629,163,000 | 1,593,629,163,000 | 276,482,939 | 0 | 0 | null | 1,593,637,960,000 | 1,593,637,959,000 | null | UTF-8 | Lean | false | false | 56,836 | lean | /-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad
The integers, with addition, multiplication, and subtraction.
-/
import algebra.char_zero
import algebra.ring
import data.list.range
open nat
namespace int
instance : comm_ring int :=
{ add := int.add,
add_assoc := int.add_assoc,
zero := int.zero,
zero_add := int.zero_add,
add_zero := int.add_zero,
neg := int.neg,
add_left_neg := int.add_left_neg,
add_comm := int.add_comm,
mul := int.mul,
mul_assoc := int.mul_assoc,
one := int.one,
one_mul := int.one_mul,
mul_one := int.mul_one,
left_distrib := int.distrib_left,
right_distrib := int.distrib_right,
mul_comm := int.mul_comm }
/- Extra instances to short-circuit type class resolution -/
-- instance : has_sub int := by apply_instance -- This is in core
instance : add_comm_monoid int := by apply_instance
instance : add_monoid int := by apply_instance
instance : monoid int := by apply_instance
instance : comm_monoid int := by apply_instance
instance : comm_semigroup int := by apply_instance
instance : semigroup int := by apply_instance
instance : add_comm_semigroup int := by apply_instance
instance : add_semigroup int := by apply_instance
instance : comm_semiring int := by apply_instance
instance : semiring int := by apply_instance
instance : ring int := by apply_instance
instance : distrib int := by apply_instance
instance : nonzero ℤ :=
{ zero_ne_one := int.zero_ne_one }
instance : inhabited ℤ := ⟨int.zero⟩
instance : decidable_linear_ordered_comm_ring int :=
{ add_le_add_left := @int.add_le_add_left,
zero_ne_one := int.zero_ne_one,
mul_pos := @int.mul_pos,
zero_lt_one := int.zero_lt_one,
..int.comm_ring, ..int.decidable_linear_order }
instance : decidable_linear_ordered_add_comm_group int :=
by apply_instance
theorem abs_eq_nat_abs : ∀ a : ℤ, abs a = nat_abs a
| (n : ℕ) := abs_of_nonneg $ coe_zero_le _
| -[1+ n] := abs_of_nonpos $ le_of_lt $ neg_succ_lt_zero _
theorem nat_abs_abs (a : ℤ) : nat_abs (abs a) = nat_abs a :=
by rw [abs_eq_nat_abs]; refl
theorem sign_mul_abs (a : ℤ) : sign a * abs a = a :=
by rw [abs_eq_nat_abs, sign_mul_nat_abs]
@[simp] lemma default_eq_zero : default ℤ = 0 := rfl
meta instance : has_to_format ℤ := ⟨λ z, to_string z⟩
meta instance : has_reflect ℤ := by tactic.mk_has_reflect_instance
attribute [simp] int.coe_nat_add int.coe_nat_mul int.coe_nat_zero int.coe_nat_one int.coe_nat_succ
attribute [simp] int.of_nat_eq_coe int.bodd
@[simp] theorem add_def {a b : ℤ} : int.add a b = a + b := rfl
@[simp] theorem mul_def {a b : ℤ} : int.mul a b = a * b := rfl
@[simp] theorem coe_nat_mul_neg_succ (m n : ℕ) : (m : ℤ) * -[1+ n] = -(m * succ n) := rfl
@[simp] theorem neg_succ_mul_coe_nat (m n : ℕ) : -[1+ m] * n = -(succ m * n) := rfl
@[simp] theorem neg_succ_mul_neg_succ (m n : ℕ) : -[1+ m] * -[1+ n] = succ m * succ n := rfl
@[simp, norm_cast]
theorem coe_nat_le {m n : ℕ} : (↑m : ℤ) ≤ ↑n ↔ m ≤ n := coe_nat_le_coe_nat_iff m n
@[simp, norm_cast]
theorem coe_nat_lt {m n : ℕ} : (↑m : ℤ) < ↑n ↔ m < n := coe_nat_lt_coe_nat_iff m n
@[simp, norm_cast]
theorem coe_nat_inj' {m n : ℕ} : (↑m : ℤ) = ↑n ↔ m = n := int.coe_nat_eq_coe_nat_iff m n
@[simp] theorem coe_nat_pos {n : ℕ} : (0 : ℤ) < n ↔ 0 < n :=
by rw [← int.coe_nat_zero, coe_nat_lt]
@[simp] theorem coe_nat_eq_zero {n : ℕ} : (n : ℤ) = 0 ↔ n = 0 :=
by rw [← int.coe_nat_zero, coe_nat_inj']
theorem coe_nat_ne_zero {n : ℕ} : (n : ℤ) ≠ 0 ↔ n ≠ 0 :=
not_congr coe_nat_eq_zero
lemma coe_nat_nonneg (n : ℕ) : 0 ≤ (n : ℤ) := coe_nat_le.2 (nat.zero_le _)
lemma coe_nat_ne_zero_iff_pos {n : ℕ} : (n : ℤ) ≠ 0 ↔ 0 < n :=
⟨λ h, nat.pos_of_ne_zero (coe_nat_ne_zero.1 h),
λ h, (ne_of_lt (coe_nat_lt.2 h)).symm⟩
lemma coe_nat_succ_pos (n : ℕ) : 0 < (n.succ : ℤ) := int.coe_nat_pos.2 (succ_pos n)
@[simp, norm_cast] theorem coe_nat_abs (n : ℕ) : abs (n : ℤ) = n :=
abs_of_nonneg (coe_nat_nonneg n)
/- succ and pred -/
/-- Immediate successor of an integer: `succ n = n + 1` -/
def succ (a : ℤ) := a + 1
/-- Immediate predecessor of an integer: `pred n = n - 1` -/
def pred (a : ℤ) := a - 1
theorem nat_succ_eq_int_succ (n : ℕ) : (nat.succ n : ℤ) = int.succ n := rfl
theorem pred_succ (a : ℤ) : pred (succ a) = a := add_sub_cancel _ _
theorem succ_pred (a : ℤ) : succ (pred a) = a := sub_add_cancel _ _
theorem neg_succ (a : ℤ) : -succ a = pred (-a) := neg_add _ _
theorem succ_neg_succ (a : ℤ) : succ (-succ a) = -a :=
by rw [neg_succ, succ_pred]
theorem neg_pred (a : ℤ) : -pred a = succ (-a) :=
by rw [eq_neg_of_eq_neg (neg_succ (-a)).symm, neg_neg]
theorem pred_neg_pred (a : ℤ) : pred (-pred a) = -a :=
by rw [neg_pred, pred_succ]
theorem pred_nat_succ (n : ℕ) : pred (nat.succ n) = n := pred_succ n
theorem neg_nat_succ (n : ℕ) : -(nat.succ n : ℤ) = pred (-n) := neg_succ n
theorem succ_neg_nat_succ (n : ℕ) : succ (-nat.succ n) = -n := succ_neg_succ n
theorem lt_succ_self (a : ℤ) : a < succ a :=
lt_add_of_pos_right _ zero_lt_one
theorem pred_self_lt (a : ℤ) : pred a < a :=
sub_lt_self _ zero_lt_one
theorem add_one_le_iff {a b : ℤ} : a + 1 ≤ b ↔ a < b := iff.rfl
theorem lt_add_one_iff {a b : ℤ} : a < b + 1 ↔ a ≤ b :=
@add_le_add_iff_right _ _ a b 1
theorem sub_one_lt_iff {a b : ℤ} : a - 1 < b ↔ a ≤ b :=
sub_lt_iff_lt_add.trans lt_add_one_iff
theorem le_sub_one_iff {a b : ℤ} : a ≤ b - 1 ↔ a < b :=
le_sub_iff_add_le
@[elab_as_eliminator] protected lemma induction_on {p : ℤ → Prop}
(i : ℤ) (hz : p 0) (hp : ∀i : ℕ, p i → p (i + 1)) (hn : ∀i : ℕ, p (-i) → p (-i - 1)) : p i :=
begin
induction i,
{ induction i,
{ exact hz },
{ exact hp _ i_ih } },
{ have : ∀n:ℕ, p (- n),
{ intro n, induction n,
{ simp [hz] },
{ convert hn _ n_ih using 1, simp [sub_eq_neg_add] } },
exact this (i + 1) }
end
protected def induction_on' {C : ℤ → Sort*} (z : ℤ) (b : ℤ) :
C b → (∀ k, b ≤ k → C k → C (k + 1)) → (∀ k ≤ b, C k → C (k - 1)) → C z :=
λ H0 Hs Hp,
begin
rw ←sub_add_cancel z b,
induction (z - b),
{ induction a with n ih, { rwa [of_nat_zero, zero_add] },
rw [of_nat_succ, add_assoc, add_comm 1 b, ←add_assoc],
exact Hs _ (le_add_of_nonneg_left (of_nat_nonneg _)) ih },
{ induction a with n ih,
{ rw [neg_succ_of_nat_eq, ←of_nat_eq_coe, of_nat_zero, zero_add, neg_add_eq_sub],
exact Hp _ (le_refl _) H0 },
{ rw [neg_succ_of_nat_coe', nat.succ_eq_add_one, ←neg_succ_of_nat_coe, sub_add_eq_add_sub],
exact Hp _ (le_of_lt (add_lt_of_neg_of_le (neg_succ_lt_zero _) (le_refl _))) ih } }
end
/- nat abs -/
attribute [simp] nat_abs nat_abs_of_nat nat_abs_zero nat_abs_one
theorem nat_abs_add_le (a b : ℤ) : nat_abs (a + b) ≤ nat_abs a + nat_abs b :=
begin
have : ∀ (a b : ℕ), nat_abs (sub_nat_nat a (nat.succ b)) ≤ nat.succ (a + b),
{ refine (λ a b : ℕ, sub_nat_nat_elim a b.succ
(λ m n i, n = b.succ → nat_abs i ≤ (m + b).succ) _ _ rfl);
intros i n e,
{ subst e, rw [add_comm _ i, add_assoc],
exact nat.le_add_right i (b.succ + b).succ },
{ apply succ_le_succ,
rw [← succ.inj e, ← add_assoc, add_comm],
apply nat.le_add_right } },
cases a; cases b with b b; simp [nat_abs, nat.succ_add];
try {refl}; [skip, rw add_comm a b]; apply this
end
theorem nat_abs_neg_of_nat (n : ℕ) : nat_abs (neg_of_nat n) = n :=
by cases n; refl
theorem nat_abs_mul (a b : ℤ) : nat_abs (a * b) = (nat_abs a) * (nat_abs b) :=
by cases a; cases b; simp only [(*), int.mul, nat_abs_neg_of_nat, eq_self_iff_true, int.nat_abs]
@[simp] lemma nat_abs_mul_self' (a : ℤ) : (nat_abs a * nat_abs a : ℤ) = a * a :=
by rw [← int.coe_nat_mul, nat_abs_mul_self]
theorem neg_succ_of_nat_eq' (m : ℕ) : -[1+ m] = -m - 1 :=
by simp [neg_succ_of_nat_eq, sub_eq_neg_add]
lemma nat_abs_ne_zero_of_ne_zero {z : ℤ} (hz : z ≠ 0) : z.nat_abs ≠ 0 :=
λ h, hz $ int.eq_zero_of_nat_abs_eq_zero h
@[simp] lemma nat_abs_eq_zero {a : ℤ} : a.nat_abs = 0 ↔ a = 0 :=
⟨int.eq_zero_of_nat_abs_eq_zero, λ h, h.symm ▸ rfl⟩
lemma nat_abs_lt_nat_abs_of_nonneg_of_lt {a b : ℤ} (w₁ : 0 ≤ a) (w₂ : a < b) :
a.nat_abs < b.nat_abs :=
begin
lift b to ℕ using le_trans w₁ (le_of_lt w₂),
lift a to ℕ using w₁,
simpa using w₂,
end
/- / -/
@[simp] theorem of_nat_div (m n : ℕ) : of_nat (m / n) = (of_nat m) / (of_nat n) := rfl
@[simp, norm_cast] theorem coe_nat_div (m n : ℕ) : ((m / n : ℕ) : ℤ) = m / n := rfl
theorem neg_succ_of_nat_div (m : ℕ) {b : ℤ} (H : 0 < b) :
-[1+m] / b = -(m / b + 1) :=
match b, eq_succ_of_zero_lt H with ._, ⟨n, rfl⟩ := rfl end
@[simp] protected theorem div_neg : ∀ (a b : ℤ), a / -b = -(a / b)
| (m : ℕ) 0 := show of_nat (m / 0) = -(m / 0 : ℕ), by rw nat.div_zero; refl
| (m : ℕ) (n+1:ℕ) := rfl
| 0 -[1+ n] := rfl
| (m+1:ℕ) -[1+ n] := (neg_neg _).symm
| -[1+ m] 0 := rfl
| -[1+ m] (n+1:ℕ) := rfl
| -[1+ m] -[1+ n] := rfl
theorem div_of_neg_of_pos {a b : ℤ} (Ha : a < 0) (Hb : 0 < b) : a / b = -((-a - 1) / b + 1) :=
match a, b, eq_neg_succ_of_lt_zero Ha, eq_succ_of_zero_lt Hb with
| ._, ._, ⟨m, rfl⟩, ⟨n, rfl⟩ :=
by change (- -[1+ m] : ℤ) with (m+1 : ℤ); rw add_sub_cancel; refl
end
protected theorem div_nonneg {a b : ℤ} (Ha : 0 ≤ a) (Hb : 0 ≤ b) : 0 ≤ a / b :=
match a, b, eq_coe_of_zero_le Ha, eq_coe_of_zero_le Hb with
| ._, ._, ⟨m, rfl⟩, ⟨n, rfl⟩ := coe_zero_le _
end
protected theorem div_nonpos {a b : ℤ} (Ha : 0 ≤ a) (Hb : b ≤ 0) : a / b ≤ 0 :=
nonpos_of_neg_nonneg $ by rw [← int.div_neg]; exact int.div_nonneg Ha (neg_nonneg_of_nonpos Hb)
theorem div_neg' {a b : ℤ} (Ha : a < 0) (Hb : 0 < b) : a / b < 0 :=
match a, b, eq_neg_succ_of_lt_zero Ha, eq_succ_of_zero_lt Hb with
| ._, ._, ⟨m, rfl⟩, ⟨n, rfl⟩ := neg_succ_lt_zero _
end
-- Will be generalized to Euclidean domains.
protected theorem zero_div : ∀ (b : ℤ), 0 / b = 0
| 0 := rfl
| (n+1:ℕ) := rfl
| -[1+ n] := rfl
local attribute [simp] -- Will be generalized to Euclidean domains.
protected theorem div_zero : ∀ (a : ℤ), a / 0 = 0
| 0 := rfl
| (n+1:ℕ) := rfl
| -[1+ n] := rfl
@[simp] protected theorem div_one : ∀ (a : ℤ), a / 1 = a
| 0 := rfl
| (n+1:ℕ) := congr_arg of_nat (nat.div_one _)
| -[1+ n] := congr_arg neg_succ_of_nat (nat.div_one _)
theorem div_eq_zero_of_lt {a b : ℤ} (H1 : 0 ≤ a) (H2 : a < b) : a / b = 0 :=
match a, b, eq_coe_of_zero_le H1, eq_succ_of_zero_lt (lt_of_le_of_lt H1 H2), H2 with
| ._, ._, ⟨m, rfl⟩, ⟨n, rfl⟩, H2 :=
congr_arg of_nat $ nat.div_eq_of_lt $ lt_of_coe_nat_lt_coe_nat H2
end
theorem div_eq_zero_of_lt_abs {a b : ℤ} (H1 : 0 ≤ a) (H2 : a < abs b) : a / b = 0 :=
match b, abs b, abs_eq_nat_abs b, H2 with
| (n : ℕ), ._, rfl, H2 := div_eq_zero_of_lt H1 H2
| -[1+ n], ._, rfl, H2 := neg_inj $ by rw [← int.div_neg]; exact div_eq_zero_of_lt H1 H2
end
protected theorem add_mul_div_right (a b : ℤ) {c : ℤ} (H : c ≠ 0) :
(a + b * c) / c = a / c + b :=
have ∀ {k n : ℕ} {a : ℤ}, (a + n * k.succ) / k.succ = a / k.succ + n, from
λ k n a, match a with
| (m : ℕ) := congr_arg of_nat $ nat.add_mul_div_right _ _ k.succ_pos
| -[1+ m] := show ((n * k.succ:ℕ) - m.succ : ℤ) / k.succ =
n - (m / k.succ + 1 : ℕ), begin
cases lt_or_ge m (n*k.succ) with h h,
{ rw [← int.coe_nat_sub h,
← int.coe_nat_sub ((nat.div_lt_iff_lt_mul _ _ k.succ_pos).2 h)],
apply congr_arg of_nat,
rw [mul_comm, nat.mul_sub_div], rwa mul_comm },
{ change (↑(n * nat.succ k) - (m + 1) : ℤ) / ↑(nat.succ k) =
↑n - ((m / nat.succ k : ℕ) + 1),
rw [← sub_sub, ← sub_sub, ← neg_sub (m:ℤ), ← neg_sub _ (n:ℤ),
← int.coe_nat_sub h,
← int.coe_nat_sub ((nat.le_div_iff_mul_le _ _ k.succ_pos).2 h),
← neg_succ_of_nat_coe', ← neg_succ_of_nat_coe'],
{ apply congr_arg neg_succ_of_nat,
rw [mul_comm, nat.sub_mul_div], rwa mul_comm } }
end
end,
have ∀ {a b c : ℤ}, 0 < c → (a + b * c) / c = a / c + b, from
λ a b c H, match c, eq_succ_of_zero_lt H, b with
| ._, ⟨k, rfl⟩, (n : ℕ) := this
| ._, ⟨k, rfl⟩, -[1+ n] :=
show (a - n.succ * k.succ) / k.succ = (a / k.succ) - n.succ, from
eq_sub_of_add_eq $ by rw [← this, sub_add_cancel]
end,
match lt_trichotomy c 0 with
| or.inl hlt := neg_inj $ by rw [← int.div_neg, neg_add, ← int.div_neg, ← neg_mul_neg];
apply this (neg_pos_of_neg hlt)
| or.inr (or.inl heq) := absurd heq H
| or.inr (or.inr hgt) := this hgt
end
protected theorem add_mul_div_left (a : ℤ) {b : ℤ} (c : ℤ) (H : b ≠ 0) :
(a + b * c) / b = a / b + c :=
by rw [mul_comm, int.add_mul_div_right _ _ H]
@[simp] protected theorem mul_div_cancel (a : ℤ) {b : ℤ} (H : b ≠ 0) : a * b / b = a :=
by have := int.add_mul_div_right 0 a H;
rwa [zero_add, int.zero_div, zero_add] at this
@[simp] protected theorem mul_div_cancel_left {a : ℤ} (b : ℤ) (H : a ≠ 0) : a * b / a = b :=
by rw [mul_comm, int.mul_div_cancel _ H]
@[simp] protected theorem div_self {a : ℤ} (H : a ≠ 0) : a / a = 1 :=
by have := int.mul_div_cancel 1 H; rwa one_mul at this
/- mod -/
theorem of_nat_mod (m n : nat) : (m % n : ℤ) = of_nat (m % n) := rfl
@[simp] theorem coe_nat_mod (m n : ℕ) : (↑(m % n) : ℤ) = ↑m % ↑n := rfl
theorem neg_succ_of_nat_mod (m : ℕ) {b : ℤ} (bpos : 0 < b) :
-[1+m] % b = b - 1 - m % b :=
by rw [sub_sub, add_comm]; exact
match b, eq_succ_of_zero_lt bpos with ._, ⟨n, rfl⟩ := rfl end
@[simp] theorem mod_neg : ∀ (a b : ℤ), a % -b = a % b
| (m : ℕ) n := @congr_arg ℕ ℤ _ _ (λ i, ↑(m % i)) (nat_abs_neg _)
| -[1+ m] n := @congr_arg ℕ ℤ _ _ (λ i, sub_nat_nat i (nat.succ (m % i))) (nat_abs_neg _)
@[simp] theorem mod_abs (a b : ℤ) : a % (abs b) = a % b :=
abs_by_cases (λ i, a % i = a % b) rfl (mod_neg _ _)
local attribute [simp] -- Will be generalized to Euclidean domains.
theorem zero_mod (b : ℤ) : 0 % b = 0 :=
congr_arg of_nat $ nat.zero_mod _
local attribute [simp] -- Will be generalized to Euclidean domains.
theorem mod_zero : ∀ (a : ℤ), a % 0 = a
| (m : ℕ) := congr_arg of_nat $ nat.mod_zero _
| -[1+ m] := congr_arg neg_succ_of_nat $ nat.mod_zero _
local attribute [simp] -- Will be generalized to Euclidean domains.
theorem mod_one : ∀ (a : ℤ), a % 1 = 0
| (m : ℕ) := congr_arg of_nat $ nat.mod_one _
| -[1+ m] := show (1 - (m % 1).succ : ℤ) = 0, by rw nat.mod_one; refl
theorem mod_eq_of_lt {a b : ℤ} (H1 : 0 ≤ a) (H2 : a < b) : a % b = a :=
match a, b, eq_coe_of_zero_le H1, eq_coe_of_zero_le (le_trans H1 (le_of_lt H2)), H2 with
| ._, ._, ⟨m, rfl⟩, ⟨n, rfl⟩, H2 :=
congr_arg of_nat $ nat.mod_eq_of_lt (lt_of_coe_nat_lt_coe_nat H2)
end
theorem mod_nonneg : ∀ (a : ℤ) {b : ℤ}, b ≠ 0 → 0 ≤ a % b
| (m : ℕ) n H := coe_zero_le _
| -[1+ m] n H :=
sub_nonneg_of_le $ coe_nat_le_coe_nat_of_le $ nat.mod_lt _ (nat_abs_pos_of_ne_zero H)
theorem mod_lt_of_pos (a : ℤ) {b : ℤ} (H : 0 < b) : a % b < b :=
match a, b, eq_succ_of_zero_lt H with
| (m : ℕ), ._, ⟨n, rfl⟩ := coe_nat_lt_coe_nat_of_lt (nat.mod_lt _ (nat.succ_pos _))
| -[1+ m], ._, ⟨n, rfl⟩ := sub_lt_self _ (coe_nat_lt_coe_nat_of_lt $ nat.succ_pos _)
end
theorem mod_lt (a : ℤ) {b : ℤ} (H : b ≠ 0) : a % b < abs b :=
by rw [← mod_abs]; exact mod_lt_of_pos _ (abs_pos_of_ne_zero H)
theorem mod_add_div_aux (m n : ℕ) : (n - (m % n + 1) - (n * (m / n) + n) : ℤ) = -[1+ m] :=
begin
rw [← sub_sub, neg_succ_of_nat_coe, sub_sub (n:ℤ)],
apply eq_neg_of_eq_neg,
rw [neg_sub, sub_sub_self, add_right_comm],
exact @congr_arg ℕ ℤ _ _ (λi, (i + 1 : ℤ)) (nat.mod_add_div _ _).symm
end
theorem mod_add_div : ∀ (a b : ℤ), a % b + b * (a / b) = a
| (m : ℕ) 0 := congr_arg of_nat (nat.mod_add_div _ _)
| (m : ℕ) (n+1:ℕ) := congr_arg of_nat (nat.mod_add_div _ _)
| 0 -[1+ n] := rfl
| (m+1:ℕ) -[1+ n] := show (_ + -(n+1) * -((m + 1) / (n + 1) : ℕ) : ℤ) = _,
by rw [neg_mul_neg]; exact congr_arg of_nat (nat.mod_add_div _ _)
| -[1+ m] 0 := by rw [mod_zero, int.div_zero]; refl
| -[1+ m] (n+1:ℕ) := mod_add_div_aux m n.succ
| -[1+ m] -[1+ n] := mod_add_div_aux m n.succ
theorem mod_def (a b : ℤ) : a % b = a - b * (a / b) :=
eq_sub_of_add_eq (mod_add_div _ _)
@[simp] theorem add_mul_mod_self {a b c : ℤ} : (a + b * c) % c = a % c :=
if cz : c = 0 then by rw [cz, mul_zero, add_zero] else
by rw [mod_def, mod_def, int.add_mul_div_right _ _ cz,
mul_add, mul_comm, add_sub_add_right_eq_sub]
@[simp] theorem add_mul_mod_self_left (a b c : ℤ) : (a + b * c) % b = a % b :=
by rw [mul_comm, add_mul_mod_self]
@[simp] theorem add_mod_self {a b : ℤ} : (a + b) % b = a % b :=
by have := add_mul_mod_self_left a b 1; rwa mul_one at this
@[simp] theorem add_mod_self_left {a b : ℤ} : (a + b) % a = b % a :=
by rw [add_comm, add_mod_self]
@[simp] theorem mod_add_mod (m n k : ℤ) : (m % n + k) % n = (m + k) % n :=
by have := (add_mul_mod_self_left (m % n + k) n (m / n)).symm;
rwa [add_right_comm, mod_add_div] at this
@[simp] theorem add_mod_mod (m n k : ℤ) : (m + n % k) % k = (m + n) % k :=
by rw [add_comm, mod_add_mod, add_comm]
lemma add_mod (a b n : ℤ) : (a + b) % n = ((a % n) + (b % n)) % n :=
by rw [add_mod_mod, mod_add_mod]
theorem add_mod_eq_add_mod_right {m n k : ℤ} (i : ℤ) (H : m % n = k % n) :
(m + i) % n = (k + i) % n :=
by rw [← mod_add_mod, ← mod_add_mod k, H]
theorem add_mod_eq_add_mod_left {m n k : ℤ} (i : ℤ) (H : m % n = k % n) :
(i + m) % n = (i + k) % n :=
by rw [add_comm, add_mod_eq_add_mod_right _ H, add_comm]
theorem mod_add_cancel_right {m n k : ℤ} (i) : (m + i) % n = (k + i) % n ↔
m % n = k % n :=
⟨λ H, by have := add_mod_eq_add_mod_right (-i) H;
rwa [add_neg_cancel_right, add_neg_cancel_right] at this,
add_mod_eq_add_mod_right _⟩
theorem mod_add_cancel_left {m n k i : ℤ} :
(i + m) % n = (i + k) % n ↔ m % n = k % n :=
by rw [add_comm, add_comm i, mod_add_cancel_right]
theorem mod_sub_cancel_right {m n k : ℤ} (i) : (m - i) % n = (k - i) % n ↔
m % n = k % n :=
mod_add_cancel_right _
theorem mod_eq_mod_iff_mod_sub_eq_zero {m n k : ℤ} : m % n = k % n ↔ (m - k) % n = 0 :=
(mod_sub_cancel_right k).symm.trans $ by simp
@[simp] theorem mul_mod_left (a b : ℤ) : (a * b) % b = 0 :=
by rw [← zero_add (a * b), add_mul_mod_self, zero_mod]
@[simp] theorem mul_mod_right (a b : ℤ) : (a * b) % a = 0 :=
by rw [mul_comm, mul_mod_left]
lemma mul_mod (a b n : ℤ) : (a * b) % n = ((a % n) * (b % n)) % n :=
begin
conv_lhs {
rw [←mod_add_div a n, ←mod_add_div b n, right_distrib, left_distrib, left_distrib,
mul_assoc, mul_assoc, ←left_distrib n _ _, add_mul_mod_self_left,
mul_comm _ (n * (b / n)), mul_assoc, add_mul_mod_self_left] }
end
local attribute [simp] -- Will be generalized to Euclidean domains.
theorem mod_self {a : ℤ} : a % a = 0 :=
by have := mul_mod_left 1 a; rwa one_mul at this
@[simp] theorem mod_mod_of_dvd (n : int) {m k : int} (h : m ∣ k) : n % k % m = n % m :=
begin
conv { to_rhs, rw ←mod_add_div n k },
rcases h with ⟨t, rfl⟩, rw [mul_assoc, add_mul_mod_self_left]
end
@[simp] theorem mod_mod (a b : ℤ) : a % b % b = a % b :=
by conv {to_rhs, rw [← mod_add_div a b, add_mul_mod_self_left]}
/- properties of / and % -/
@[simp] theorem mul_div_mul_of_pos {a : ℤ} (b c : ℤ) (H : 0 < a) : a * b / (a * c) = b / c :=
suffices ∀ (m k : ℕ) (b : ℤ), (m.succ * b / (m.succ * k) : ℤ) = b / k, from
match a, eq_succ_of_zero_lt H, c, eq_coe_or_neg c with
| ._, ⟨m, rfl⟩, ._, ⟨k, or.inl rfl⟩ := this _ _ _
| ._, ⟨m, rfl⟩, ._, ⟨k, or.inr rfl⟩ :=
by rw [← neg_mul_eq_mul_neg, int.div_neg, int.div_neg];
apply congr_arg has_neg.neg; apply this
end,
λ m k b, match b, k with
| (n : ℕ), k := congr_arg of_nat (nat.mul_div_mul _ _ m.succ_pos)
| -[1+ n], 0 := by rw [int.coe_nat_zero, mul_zero, int.div_zero, int.div_zero]
| -[1+ n], k+1 := congr_arg neg_succ_of_nat $
show (m.succ * n + m) / (m.succ * k.succ) = n / k.succ, begin
apply nat.div_eq_of_lt_le,
{ refine le_trans _ (nat.le_add_right _ _),
rw [← nat.mul_div_mul _ _ m.succ_pos],
apply nat.div_mul_le_self },
{ change m.succ * n.succ ≤ _,
rw [mul_left_comm],
apply nat.mul_le_mul_left,
apply (nat.div_lt_iff_lt_mul _ _ k.succ_pos).1,
apply nat.lt_succ_self }
end
end
@[simp] theorem mul_div_mul_of_pos_left (a : ℤ) {b : ℤ} (c : ℤ) (H : 0 < b) :
a * b / (c * b) = a / c :=
by rw [mul_comm, mul_comm c, mul_div_mul_of_pos _ _ H]
@[simp] theorem mul_mod_mul_of_pos {a : ℤ} (b c : ℤ) (H : 0 < a) : a * b % (a * c) = a * (b % c) :=
by rw [mod_def, mod_def, mul_div_mul_of_pos _ _ H, mul_sub_left_distrib, mul_assoc]
theorem lt_div_add_one_mul_self (a : ℤ) {b : ℤ} (H : 0 < b) : a < (a / b + 1) * b :=
by rw [add_mul, one_mul, mul_comm]; apply lt_add_of_sub_left_lt;
rw [← mod_def]; apply mod_lt_of_pos _ H
theorem abs_div_le_abs : ∀ (a b : ℤ), abs (a / b) ≤ abs a :=
suffices ∀ (a : ℤ) (n : ℕ), abs (a / n) ≤ abs a, from
λ a b, match b, eq_coe_or_neg b with
| ._, ⟨n, or.inl rfl⟩ := this _ _
| ._, ⟨n, or.inr rfl⟩ := by rw [int.div_neg, abs_neg]; apply this
end,
λ a n, by rw [abs_eq_nat_abs, abs_eq_nat_abs]; exact
coe_nat_le_coe_nat_of_le (match a, n with
| (m : ℕ), n := nat.div_le_self _ _
| -[1+ m], 0 := nat.zero_le _
| -[1+ m], n+1 := nat.succ_le_succ (nat.div_le_self _ _)
end)
theorem div_le_self {a : ℤ} (b : ℤ) (Ha : 0 ≤ a) : a / b ≤ a :=
by have := le_trans (le_abs_self _) (abs_div_le_abs a b);
rwa [abs_of_nonneg Ha] at this
theorem mul_div_cancel_of_mod_eq_zero {a b : ℤ} (H : a % b = 0) : b * (a / b) = a :=
by have := mod_add_div a b; rwa [H, zero_add] at this
theorem div_mul_cancel_of_mod_eq_zero {a b : ℤ} (H : a % b = 0) : a / b * b = a :=
by rw [mul_comm, mul_div_cancel_of_mod_eq_zero H]
lemma mod_two_eq_zero_or_one (n : ℤ) : n % 2 = 0 ∨ n % 2 = 1 :=
have h : n % 2 < 2 := abs_of_nonneg (show 0 ≤ (2 : ℤ), from dec_trivial) ▸ int.mod_lt _ dec_trivial,
have h₁ : 0 ≤ n % 2 := int.mod_nonneg _ dec_trivial,
match (n % 2), h, h₁ with
| (0 : ℕ) := λ _ _, or.inl rfl
| (1 : ℕ) := λ _ _, or.inr rfl
| (k + 2 : ℕ) := λ h _, absurd h dec_trivial
| -[1+ a] := λ _ h₁, absurd h₁ dec_trivial
end
/- dvd -/
@[norm_cast] theorem coe_nat_dvd {m n : ℕ} : (↑m : ℤ) ∣ ↑n ↔ m ∣ n :=
⟨λ ⟨a, ae⟩, m.eq_zero_or_pos.elim
(λm0, by simp [m0] at ae; simp [ae, m0])
(λm0l, by {
cases eq_coe_of_zero_le (@nonneg_of_mul_nonneg_left ℤ _ m a
(by simp [ae.symm]) (by simpa using m0l)) with k e,
subst a, exact ⟨k, int.coe_nat_inj ae⟩ }),
λ ⟨k, e⟩, dvd.intro k $ by rw [e, int.coe_nat_mul]⟩
theorem coe_nat_dvd_left {n : ℕ} {z : ℤ} : (↑n : ℤ) ∣ z ↔ n ∣ z.nat_abs :=
by rcases nat_abs_eq z with eq | eq; rw eq; simp [coe_nat_dvd]
theorem coe_nat_dvd_right {n : ℕ} {z : ℤ} : z ∣ (↑n : ℤ) ↔ z.nat_abs ∣ n :=
by rcases nat_abs_eq z with eq | eq; rw eq; simp [coe_nat_dvd]
theorem dvd_antisymm {a b : ℤ} (H1 : 0 ≤ a) (H2 : 0 ≤ b) : a ∣ b → b ∣ a → a = b :=
begin
rw [← abs_of_nonneg H1, ← abs_of_nonneg H2, abs_eq_nat_abs, abs_eq_nat_abs],
rw [coe_nat_dvd, coe_nat_dvd, coe_nat_inj'],
apply nat.dvd_antisymm
end
theorem dvd_of_mod_eq_zero {a b : ℤ} (H : b % a = 0) : a ∣ b :=
⟨b / a, (mul_div_cancel_of_mod_eq_zero H).symm⟩
theorem mod_eq_zero_of_dvd : ∀ {a b : ℤ}, a ∣ b → b % a = 0
| a ._ ⟨c, rfl⟩ := mul_mod_right _ _
theorem dvd_iff_mod_eq_zero (a b : ℤ) : a ∣ b ↔ b % a = 0 :=
⟨mod_eq_zero_of_dvd, dvd_of_mod_eq_zero⟩
/-- If `a % b = c` then `b` divides `a - c`. -/
lemma dvd_sub_of_mod_eq {a b c : ℤ} (h : a % b = c) : b ∣ a - c :=
begin
have hx : a % b % b = c % b, { rw h },
rw [mod_mod, ←mod_sub_cancel_right c, sub_self, zero_mod] at hx,
exact dvd_of_mod_eq_zero hx
end
theorem nat_abs_dvd {a b : ℤ} : (a.nat_abs : ℤ) ∣ b ↔ a ∣ b :=
(nat_abs_eq a).elim (λ e, by rw ← e) (λ e, by rw [← neg_dvd_iff_dvd, ← e])
theorem dvd_nat_abs {a b : ℤ} : a ∣ b.nat_abs ↔ a ∣ b :=
(nat_abs_eq b).elim (λ e, by rw ← e) (λ e, by rw [← dvd_neg_iff_dvd, ← e])
instance decidable_dvd : @decidable_rel ℤ (∣) :=
assume a n, decidable_of_decidable_of_iff (by apply_instance) (dvd_iff_mod_eq_zero _ _).symm
protected theorem div_mul_cancel {a b : ℤ} (H : b ∣ a) : a / b * b = a :=
div_mul_cancel_of_mod_eq_zero (mod_eq_zero_of_dvd H)
protected theorem mul_div_cancel' {a b : ℤ} (H : a ∣ b) : a * (b / a) = b :=
by rw [mul_comm, int.div_mul_cancel H]
protected theorem mul_div_assoc (a : ℤ) : ∀ {b c : ℤ}, c ∣ b → (a * b) / c = a * (b / c)
| ._ c ⟨d, rfl⟩ := if cz : c = 0 then by simp [cz] else
by rw [mul_left_comm, int.mul_div_cancel_left _ cz, int.mul_div_cancel_left _ cz]
theorem div_dvd_div : ∀ {a b c : ℤ} (H1 : a ∣ b) (H2 : b ∣ c), b / a ∣ c / a
| a ._ ._ ⟨b, rfl⟩ ⟨c, rfl⟩ := if az : a = 0 then by simp [az] else
by rw [int.mul_div_cancel_left _ az, mul_assoc, int.mul_div_cancel_left _ az];
apply dvd_mul_right
protected theorem eq_mul_of_div_eq_right {a b c : ℤ} (H1 : b ∣ a) (H2 : a / b = c) :
a = b * c :=
by rw [← H2, int.mul_div_cancel' H1]
protected theorem div_eq_of_eq_mul_right {a b c : ℤ} (H1 : b ≠ 0) (H2 : a = b * c) :
a / b = c :=
by rw [H2, int.mul_div_cancel_left _ H1]
protected theorem div_eq_iff_eq_mul_right {a b c : ℤ} (H : b ≠ 0) (H' : b ∣ a) :
a / b = c ↔ a = b * c :=
⟨int.eq_mul_of_div_eq_right H', int.div_eq_of_eq_mul_right H⟩
protected theorem div_eq_iff_eq_mul_left {a b c : ℤ} (H : b ≠ 0) (H' : b ∣ a) :
a / b = c ↔ a = c * b :=
by rw mul_comm; exact int.div_eq_iff_eq_mul_right H H'
protected theorem eq_mul_of_div_eq_left {a b c : ℤ} (H1 : b ∣ a) (H2 : a / b = c) :
a = c * b :=
by rw [mul_comm, int.eq_mul_of_div_eq_right H1 H2]
protected theorem div_eq_of_eq_mul_left {a b c : ℤ} (H1 : b ≠ 0) (H2 : a = c * b) :
a / b = c :=
int.div_eq_of_eq_mul_right H1 (by rw [mul_comm, H2])
theorem neg_div_of_dvd : ∀ {a b : ℤ} (H : b ∣ a), -a / b = -(a / b)
| ._ b ⟨c, rfl⟩ := if bz : b = 0 then by simp [bz] else
by rw [neg_mul_eq_mul_neg, int.mul_div_cancel_left _ bz, int.mul_div_cancel_left _ bz]
lemma add_div_of_dvd {a b c : ℤ} :
c ∣ a → c ∣ b → (a + b) / c = a / c + b / c :=
begin
intros h1 h2,
by_cases h3 : c = 0,
{ rw [h3, zero_dvd_iff] at *,
rw [h1, h2, h3], refl },
{ apply eq_of_mul_eq_mul_right h3,
rw add_mul, repeat {rw [int.div_mul_cancel]};
try {apply dvd_add}; assumption }
end
theorem div_sign : ∀ a b, a / sign b = a * sign b
| a (n+1:ℕ) := by unfold sign; simp
| a 0 := by simp [sign]
| a -[1+ n] := by simp [sign]
@[simp] theorem sign_mul : ∀ a b, sign (a * b) = sign a * sign b
| a 0 := by simp
| 0 b := by simp
| (m+1:ℕ) (n+1:ℕ) := rfl
| (m+1:ℕ) -[1+ n] := rfl
| -[1+ m] (n+1:ℕ) := rfl
| -[1+ m] -[1+ n] := rfl
protected theorem sign_eq_div_abs (a : ℤ) : sign a = a / (abs a) :=
if az : a = 0 then by simp [az] else
(int.div_eq_of_eq_mul_left (mt eq_zero_of_abs_eq_zero az)
(sign_mul_abs _).symm).symm
theorem mul_sign : ∀ (i : ℤ), i * sign i = nat_abs i
| (n+1:ℕ) := mul_one _
| 0 := mul_zero _
| -[1+ n] := mul_neg_one _
theorem le_of_dvd {a b : ℤ} (bpos : 0 < b) (H : a ∣ b) : a ≤ b :=
match a, b, eq_succ_of_zero_lt bpos, H with
| (m : ℕ), ._, ⟨n, rfl⟩, H := coe_nat_le_coe_nat_of_le $
nat.le_of_dvd n.succ_pos $ coe_nat_dvd.1 H
| -[1+ m], ._, ⟨n, rfl⟩, _ :=
le_trans (le_of_lt $ neg_succ_lt_zero _) (coe_zero_le _)
end
theorem eq_one_of_dvd_one {a : ℤ} (H : 0 ≤ a) (H' : a ∣ 1) : a = 1 :=
match a, eq_coe_of_zero_le H, H' with
| ._, ⟨n, rfl⟩, H' := congr_arg coe $
nat.eq_one_of_dvd_one $ coe_nat_dvd.1 H'
end
theorem eq_one_of_mul_eq_one_right {a b : ℤ} (H : 0 ≤ a) (H' : a * b = 1) : a = 1 :=
eq_one_of_dvd_one H ⟨b, H'.symm⟩
theorem eq_one_of_mul_eq_one_left {a b : ℤ} (H : 0 ≤ b) (H' : a * b = 1) : b = 1 :=
eq_one_of_mul_eq_one_right H (by rw [mul_comm, H'])
lemma of_nat_dvd_of_dvd_nat_abs {a : ℕ} : ∀ {z : ℤ} (haz : a ∣ z.nat_abs), ↑a ∣ z
| (int.of_nat _) haz := int.coe_nat_dvd.2 haz
| -[1+k] haz :=
begin
change ↑a ∣ -(k+1 : ℤ),
apply dvd_neg_of_dvd,
apply int.coe_nat_dvd.2,
exact haz
end
lemma dvd_nat_abs_of_of_nat_dvd {a : ℕ} : ∀ {z : ℤ} (haz : ↑a ∣ z), a ∣ z.nat_abs
| (int.of_nat _) haz := int.coe_nat_dvd.1 (int.dvd_nat_abs.2 haz)
| -[1+k] haz :=
have haz' : (↑a:ℤ) ∣ (↑(k+1):ℤ), from dvd_of_dvd_neg haz,
int.coe_nat_dvd.1 haz'
lemma pow_dvd_of_le_of_pow_dvd {p m n : ℕ} {k : ℤ} (hmn : m ≤ n) (hdiv : ↑(p ^ n) ∣ k) :
↑(p ^ m) ∣ k :=
begin
induction k,
{ apply int.coe_nat_dvd.2,
apply pow_dvd_of_le_of_pow_dvd hmn,
apply int.coe_nat_dvd.1 hdiv },
{ change -[1+k] with -(↑(k+1) : ℤ),
apply dvd_neg_of_dvd,
apply int.coe_nat_dvd.2,
apply pow_dvd_of_le_of_pow_dvd hmn,
apply int.coe_nat_dvd.1,
apply dvd_of_dvd_neg,
exact hdiv }
end
lemma dvd_of_pow_dvd {p k : ℕ} {m : ℤ} (hk : 1 ≤ k) (hpk : ↑(p^k) ∣ m) : ↑p ∣ m :=
by rw ←nat.pow_one p; exact pow_dvd_of_le_of_pow_dvd hk hpk
/- / and ordering -/
protected theorem div_mul_le (a : ℤ) {b : ℤ} (H : b ≠ 0) : a / b * b ≤ a :=
le_of_sub_nonneg $ by rw [mul_comm, ← mod_def]; apply mod_nonneg _ H
protected theorem div_le_of_le_mul {a b c : ℤ} (H : 0 < c) (H' : a ≤ b * c) : a / c ≤ b :=
le_of_mul_le_mul_right (le_trans (int.div_mul_le _ (ne_of_gt H)) H') H
protected theorem mul_lt_of_lt_div {a b c : ℤ} (H : 0 < c) (H3 : a < b / c) : a * c < b :=
lt_of_not_ge $ mt (int.div_le_of_le_mul H) (not_le_of_gt H3)
protected theorem mul_le_of_le_div {a b c : ℤ} (H1 : 0 < c) (H2 : a ≤ b / c) : a * c ≤ b :=
le_trans (mul_le_mul_of_nonneg_right H2 (le_of_lt H1)) (int.div_mul_le _ (ne_of_gt H1))
protected theorem le_div_of_mul_le {a b c : ℤ} (H1 : 0 < c) (H2 : a * c ≤ b) : a ≤ b / c :=
le_of_lt_add_one $ lt_of_mul_lt_mul_right
(lt_of_le_of_lt H2 (lt_div_add_one_mul_self _ H1)) (le_of_lt H1)
protected theorem le_div_iff_mul_le {a b c : ℤ} (H : 0 < c) : a ≤ b / c ↔ a * c ≤ b :=
⟨int.mul_le_of_le_div H, int.le_div_of_mul_le H⟩
protected theorem div_le_div {a b c : ℤ} (H : 0 < c) (H' : a ≤ b) : a / c ≤ b / c :=
int.le_div_of_mul_le H (le_trans (int.div_mul_le _ (ne_of_gt H)) H')
protected theorem div_lt_of_lt_mul {a b c : ℤ} (H : 0 < c) (H' : a < b * c) : a / c < b :=
lt_of_not_ge $ mt (int.mul_le_of_le_div H) (not_le_of_gt H')
protected theorem lt_mul_of_div_lt {a b c : ℤ} (H1 : 0 < c) (H2 : a / c < b) : a < b * c :=
lt_of_not_ge $ mt (int.le_div_of_mul_le H1) (not_le_of_gt H2)
protected theorem div_lt_iff_lt_mul {a b c : ℤ} (H : 0 < c) : a / c < b ↔ a < b * c :=
⟨int.lt_mul_of_div_lt H, int.div_lt_of_lt_mul H⟩
protected theorem le_mul_of_div_le {a b c : ℤ} (H1 : 0 ≤ b) (H2 : b ∣ a) (H3 : a / b ≤ c) :
a ≤ c * b :=
by rw [← int.div_mul_cancel H2]; exact mul_le_mul_of_nonneg_right H3 H1
protected theorem lt_div_of_mul_lt {a b c : ℤ} (H1 : 0 ≤ b) (H2 : b ∣ c) (H3 : a * b < c) :
a < c / b :=
lt_of_not_ge $ mt (int.le_mul_of_div_le H1 H2) (not_le_of_gt H3)
protected theorem lt_div_iff_mul_lt {a b : ℤ} (c : ℤ) (H : 0 < c) (H' : c ∣ b) :
a < b / c ↔ a * c < b :=
⟨int.mul_lt_of_lt_div H, int.lt_div_of_mul_lt (le_of_lt H) H'⟩
theorem div_pos_of_pos_of_dvd {a b : ℤ} (H1 : 0 < a) (H2 : 0 ≤ b) (H3 : b ∣ a) : 0 < a / b :=
int.lt_div_of_mul_lt H2 H3 (by rwa zero_mul)
theorem div_eq_div_of_mul_eq_mul {a b c d : ℤ} (H2 : d ∣ c) (H3 : b ≠ 0)
(H4 : d ≠ 0) (H5 : a * d = b * c) :
a / b = c / d :=
int.div_eq_of_eq_mul_right H3 $
by rw [← int.mul_div_assoc _ H2]; exact
(int.div_eq_of_eq_mul_left H4 H5.symm).symm
theorem eq_mul_div_of_mul_eq_mul_of_dvd_left {a b c d : ℤ} (hb : b ≠ 0) (hbc : b ∣ c)
(h : b * a = c * d) : a = c / b * d :=
begin
cases hbc with k hk,
subst hk,
rw int.mul_div_cancel_left, rw mul_assoc at h,
apply _root_.eq_of_mul_eq_mul_left _ h,
repeat {assumption}
end
/-- If an integer with larger absolute value divides an integer, it is
zero. -/
lemma eq_zero_of_dvd_of_nat_abs_lt_nat_abs {a b : ℤ} (w : a ∣ b) (h : nat_abs b < nat_abs a) :
b = 0 :=
begin
rw [←nat_abs_dvd, ←dvd_nat_abs, coe_nat_dvd] at w,
rw ←nat_abs_eq_zero,
exact eq_zero_of_dvd_of_lt w h
end
lemma eq_zero_of_dvd_of_nonneg_of_lt {a b : ℤ} (w₁ : 0 ≤ a) (w₂ : a < b) (h : b ∣ a) : a = 0 :=
eq_zero_of_dvd_of_nat_abs_lt_nat_abs h (nat_abs_lt_nat_abs_of_nonneg_of_lt w₁ w₂)
/-- If two integers are congruent to a sufficiently large modulus,
they are equal. -/
lemma eq_of_mod_eq_of_nat_abs_sub_lt_nat_abs {a b c : ℤ} (h1 : a % b = c)
(h2 : nat_abs (a - c) < nat_abs b) :
a = c :=
eq_of_sub_eq_zero (eq_zero_of_dvd_of_nat_abs_lt_nat_abs (dvd_sub_of_mod_eq h1) h2)
theorem of_nat_add_neg_succ_of_nat_of_lt {m n : ℕ}
(h : m < n.succ) : of_nat m + -[1+n] = -[1+ n - m] :=
begin
change sub_nat_nat _ _ = _,
have h' : n.succ - m = (n - m).succ,
apply succ_sub,
apply le_of_lt_succ h,
simp [*, sub_nat_nat]
end
theorem of_nat_add_neg_succ_of_nat_of_ge {m n : ℕ}
(h : n.succ ≤ m) : of_nat m + -[1+n] = of_nat (m - n.succ) :=
begin
change sub_nat_nat _ _ = _,
have h' : n.succ - m = 0,
apply sub_eq_zero_of_le h,
simp [*, sub_nat_nat]
end
@[simp] theorem neg_add_neg (m n : ℕ) : -[1+m] + -[1+n] = -[1+nat.succ(m+n)] := rfl
/- to_nat -/
theorem to_nat_eq_max : ∀ (a : ℤ), (to_nat a : ℤ) = max a 0
| (n : ℕ) := (max_eq_left (coe_zero_le n)).symm
| -[1+ n] := (max_eq_right (le_of_lt (neg_succ_lt_zero n))).symm
@[simp] theorem to_nat_of_nonneg {a : ℤ} (h : 0 ≤ a) : (to_nat a : ℤ) = a :=
by rw [to_nat_eq_max, max_eq_left h]
@[simp] lemma to_nat_sub_of_le (a b : ℤ) (h : b ≤ a) : (to_nat (a + -b) : ℤ) = a + - b :=
int.to_nat_of_nonneg (sub_nonneg_of_le h)
@[simp] theorem to_nat_coe_nat (n : ℕ) : to_nat ↑n = n := rfl
theorem le_to_nat (a : ℤ) : a ≤ to_nat a :=
by rw [to_nat_eq_max]; apply le_max_left
@[simp] theorem to_nat_le {a : ℤ} {n : ℕ} : to_nat a ≤ n ↔ a ≤ n :=
by rw [(coe_nat_le_coe_nat_iff _ _).symm, to_nat_eq_max, max_le_iff];
exact and_iff_left (coe_zero_le _)
@[simp] theorem lt_to_nat {n : ℕ} {a : ℤ} : n < to_nat a ↔ (n : ℤ) < a :=
le_iff_le_iff_lt_iff_lt.1 to_nat_le
theorem to_nat_le_to_nat {a b : ℤ} (h : a ≤ b) : to_nat a ≤ to_nat b :=
by rw to_nat_le; exact le_trans h (le_to_nat b)
theorem to_nat_lt_to_nat {a b : ℤ} (hb : 0 < b) : to_nat a < to_nat b ↔ a < b :=
⟨λ h, begin cases a, exact lt_to_nat.1 h, exact lt_trans (neg_succ_of_nat_lt_zero a) hb, end,
λ h, begin rw lt_to_nat, cases a, exact h, exact hb end⟩
theorem lt_of_to_nat_lt {a b : ℤ} (h : to_nat a < to_nat b) : a < b :=
(to_nat_lt_to_nat $ lt_to_nat.1 $ lt_of_le_of_lt (nat.zero_le _) h).1 h
def to_nat' : ℤ → option ℕ
| (n : ℕ) := some n
| -[1+ n] := none
theorem mem_to_nat' : ∀ (a : ℤ) (n : ℕ), n ∈ to_nat' a ↔ a = n
| (m : ℕ) n := option.some_inj.trans coe_nat_inj'.symm
| -[1+ m] n := by split; intro h; cases h
/- units -/
@[simp] theorem units_nat_abs (u : units ℤ) : nat_abs u = 1 :=
units.ext_iff.1 $ nat.units_eq_one ⟨nat_abs u, nat_abs ↑u⁻¹,
by rw [← nat_abs_mul, units.mul_inv]; refl,
by rw [← nat_abs_mul, units.inv_mul]; refl⟩
theorem units_eq_one_or (u : units ℤ) : u = 1 ∨ u = -1 :=
by simpa [units.ext_iff, units_nat_abs] using nat_abs_eq u
lemma units_inv_eq_self (u : units ℤ) : u⁻¹ = u :=
(units_eq_one_or u).elim (λ h, h.symm ▸ rfl) (λ h, h.symm ▸ rfl)
/- bitwise ops -/
@[simp] lemma bodd_zero : bodd 0 = ff := rfl
@[simp] lemma bodd_one : bodd 1 = tt := rfl
@[simp] lemma bodd_two : bodd 2 = ff := rfl
@[simp, norm_cast] lemma bodd_coe (n : ℕ) : int.bodd n = nat.bodd n := rfl
@[simp] lemma bodd_sub_nat_nat (m n : ℕ) : bodd (sub_nat_nat m n) = bxor m.bodd n.bodd :=
by apply sub_nat_nat_elim m n (λ m n i, bodd i = bxor m.bodd n.bodd); intros;
simp; cases i.bodd; simp
@[simp] lemma bodd_neg_of_nat (n : ℕ) : bodd (neg_of_nat n) = n.bodd :=
by cases n; simp; refl
@[simp] lemma bodd_neg (n : ℤ) : bodd (-n) = bodd n :=
by cases n; simp [has_neg.neg, int.coe_nat_eq, int.neg, bodd, -of_nat_eq_coe]
@[simp] lemma bodd_add (m n : ℤ) : bodd (m + n) = bxor (bodd m) (bodd n) :=
by cases m with m m; cases n with n n; unfold has_add.add;
simp [int.add, -of_nat_eq_coe, bool.bxor_comm]
@[simp] lemma bodd_mul (m n : ℤ) : bodd (m * n) = bodd m && bodd n :=
by cases m with m m; cases n with n n; unfold has_mul.mul;
simp [int.mul, -of_nat_eq_coe, bool.bxor_comm]
theorem bodd_add_div2 : ∀ n, cond (bodd n) 1 0 + 2 * div2 n = n
| (n : ℕ) :=
by rw [show (cond (bodd n) 1 0 : ℤ) = (cond (bodd n) 1 0 : ℕ),
by cases bodd n; refl]; exact congr_arg of_nat n.bodd_add_div2
| -[1+ n] := begin
refine eq.trans _ (congr_arg neg_succ_of_nat n.bodd_add_div2),
dsimp [bodd], cases nat.bodd n; dsimp [cond, bnot, div2, int.mul],
{ change -[1+ 2 * nat.div2 n] = _, rw zero_add },
{ rw [zero_add, add_comm], refl }
end
theorem div2_val : ∀ n, div2 n = n / 2
| (n : ℕ) := congr_arg of_nat n.div2_val
| -[1+ n] := congr_arg neg_succ_of_nat n.div2_val
lemma bit0_val (n : ℤ) : bit0 n = 2 * n := (two_mul _).symm
lemma bit1_val (n : ℤ) : bit1 n = 2 * n + 1 := congr_arg (+(1:ℤ)) (bit0_val _)
lemma bit_val (b n) : bit b n = 2 * n + cond b 1 0 :=
by { cases b, apply (bit0_val n).trans (add_zero _).symm, apply bit1_val }
lemma bit_decomp (n : ℤ) : bit (bodd n) (div2 n) = n :=
(bit_val _ _).trans $ (add_comm _ _).trans $ bodd_add_div2 _
def {u} bit_cases_on {C : ℤ → Sort u} (n) (h : ∀ b n, C (bit b n)) : C n :=
by rw [← bit_decomp n]; apply h
@[simp] lemma bit_zero : bit ff 0 = 0 := rfl
@[simp] lemma bit_coe_nat (b) (n : ℕ) : bit b n = nat.bit b n :=
by rw [bit_val, nat.bit_val]; cases b; refl
@[simp] lemma bit_neg_succ (b) (n : ℕ) : bit b -[1+ n] = -[1+ nat.bit (bnot b) n] :=
by rw [bit_val, nat.bit_val]; cases b; refl
@[simp] lemma bodd_bit (b n) : bodd (bit b n) = b :=
by rw bit_val; simp; cases b; cases bodd n; refl
@[simp] lemma div2_bit (b n) : div2 (bit b n) = n :=
begin
rw [bit_val, div2_val, add_comm, int.add_mul_div_left, (_ : (_/2:ℤ) = 0), zero_add],
cases b, all_goals {exact dec_trivial}
end
@[simp] lemma test_bit_zero (b) : ∀ n, test_bit (bit b n) 0 = b
| (n : ℕ) := by rw [bit_coe_nat]; apply nat.test_bit_zero
| -[1+ n] := by rw [bit_neg_succ]; dsimp [test_bit]; rw [nat.test_bit_zero];
clear test_bit_zero; cases b; refl
@[simp] lemma test_bit_succ (m b) : ∀ n, test_bit (bit b n) (nat.succ m) = test_bit n m
| (n : ℕ) := by rw [bit_coe_nat]; apply nat.test_bit_succ
| -[1+ n] := by rw [bit_neg_succ]; dsimp [test_bit]; rw [nat.test_bit_succ]
private meta def bitwise_tac : tactic unit := `[
funext m,
funext n,
cases m with m m; cases n with n n; try {refl},
all_goals {
apply congr_arg of_nat <|> apply congr_arg neg_succ_of_nat,
try {dsimp [nat.land, nat.ldiff, nat.lor]},
try {rw [
show nat.bitwise (λ a b, a && bnot b) n m =
nat.bitwise (λ a b, b && bnot a) m n, from
congr_fun (congr_fun (@nat.bitwise_swap (λ a b, b && bnot a) rfl) n) m]},
apply congr_arg (λ f, nat.bitwise f m n),
funext a,
funext b,
cases a; cases b; refl
},
all_goals {unfold nat.land nat.ldiff nat.lor}
]
theorem bitwise_or : bitwise bor = lor := by bitwise_tac
theorem bitwise_and : bitwise band = land := by bitwise_tac
theorem bitwise_diff : bitwise (λ a b, a && bnot b) = ldiff := by bitwise_tac
theorem bitwise_xor : bitwise bxor = lxor := by bitwise_tac
@[simp] lemma bitwise_bit (f : bool → bool → bool) (a m b n) :
bitwise f (bit a m) (bit b n) = bit (f a b) (bitwise f m n) :=
begin
cases m with m m; cases n with n n;
repeat { rw [← int.coe_nat_eq] <|> rw bit_coe_nat <|> rw bit_neg_succ };
unfold bitwise nat_bitwise bnot;
[ induction h : f ff ff,
induction h : f ff tt,
induction h : f tt ff,
induction h : f tt tt ],
all_goals {
unfold cond, rw nat.bitwise_bit,
repeat { rw bit_coe_nat <|> rw bit_neg_succ <|> rw bnot_bnot } },
all_goals { unfold bnot {fail_if_unchanged := ff}; rw h; refl }
end
@[simp] lemma lor_bit (a m b n) : lor (bit a m) (bit b n) = bit (a || b) (lor m n) :=
by rw [← bitwise_or, bitwise_bit]
@[simp] lemma land_bit (a m b n) : land (bit a m) (bit b n) = bit (a && b) (land m n) :=
by rw [← bitwise_and, bitwise_bit]
@[simp] lemma ldiff_bit (a m b n) : ldiff (bit a m) (bit b n) = bit (a && bnot b) (ldiff m n) :=
by rw [← bitwise_diff, bitwise_bit]
@[simp] lemma lxor_bit (a m b n) : lxor (bit a m) (bit b n) = bit (bxor a b) (lxor m n) :=
by rw [← bitwise_xor, bitwise_bit]
@[simp] lemma lnot_bit (b) : ∀ n, lnot (bit b n) = bit (bnot b) (lnot n)
| (n : ℕ) := by simp [lnot]
| -[1+ n] := by simp [lnot]
@[simp] lemma test_bit_bitwise (f : bool → bool → bool) (m n k) :
test_bit (bitwise f m n) k = f (test_bit m k) (test_bit n k) :=
begin
induction k with k IH generalizing m n;
apply bit_cases_on m; intros a m';
apply bit_cases_on n; intros b n';
rw bitwise_bit,
{ simp [test_bit_zero] },
{ simp [test_bit_succ, IH] }
end
@[simp] lemma test_bit_lor (m n k) : test_bit (lor m n) k = test_bit m k || test_bit n k :=
by rw [← bitwise_or, test_bit_bitwise]
@[simp] lemma test_bit_land (m n k) : test_bit (land m n) k = test_bit m k && test_bit n k :=
by rw [← bitwise_and, test_bit_bitwise]
@[simp]
lemma test_bit_ldiff (m n k) : test_bit (ldiff m n) k = test_bit m k && bnot (test_bit n k) :=
by rw [← bitwise_diff, test_bit_bitwise]
@[simp] lemma test_bit_lxor (m n k) : test_bit (lxor m n) k = bxor (test_bit m k) (test_bit n k) :=
by rw [← bitwise_xor, test_bit_bitwise]
@[simp] lemma test_bit_lnot : ∀ n k, test_bit (lnot n) k = bnot (test_bit n k)
| (n : ℕ) k := by simp [lnot, test_bit]
| -[1+ n] k := by simp [lnot, test_bit]
lemma shiftl_add : ∀ (m : ℤ) (n : ℕ) (k : ℤ), shiftl m (n + k) = shiftl (shiftl m n) k
| (m : ℕ) n (k:ℕ) := congr_arg of_nat (nat.shiftl_add _ _ _)
| -[1+ m] n (k:ℕ) := congr_arg neg_succ_of_nat (nat.shiftl'_add _ _ _ _)
| (m : ℕ) n -[1+k] := sub_nat_nat_elim n k.succ
(λ n k i, shiftl ↑m i = nat.shiftr (nat.shiftl m n) k)
(λ i n, congr_arg coe $
by rw [← nat.shiftl_sub, nat.add_sub_cancel_left]; apply nat.le_add_right)
(λ i n, congr_arg coe $
by rw [add_assoc, nat.shiftr_add, ← nat.shiftl_sub, nat.sub_self]; refl)
| -[1+ m] n -[1+k] := sub_nat_nat_elim n k.succ
(λ n k i, shiftl -[1+ m] i = -[1+ nat.shiftr (nat.shiftl' tt m n) k])
(λ i n, congr_arg neg_succ_of_nat $
by rw [← nat.shiftl'_sub, nat.add_sub_cancel_left]; apply nat.le_add_right)
(λ i n, congr_arg neg_succ_of_nat $
by rw [add_assoc, nat.shiftr_add, ← nat.shiftl'_sub, nat.sub_self]; refl)
lemma shiftl_sub (m : ℤ) (n : ℕ) (k : ℤ) : shiftl m (n - k) = shiftr (shiftl m n) k :=
shiftl_add _ _ _
@[simp] lemma shiftl_neg (m n : ℤ) : shiftl m (-n) = shiftr m n := rfl
@[simp] lemma shiftr_neg (m n : ℤ) : shiftr m (-n) = shiftl m n := by rw [← shiftl_neg, neg_neg]
@[simp] lemma shiftl_coe_nat (m n : ℕ) : shiftl m n = nat.shiftl m n := rfl
@[simp] lemma shiftr_coe_nat (m n : ℕ) : shiftr m n = nat.shiftr m n := by cases n; refl
@[simp] lemma shiftl_neg_succ (m n : ℕ) : shiftl -[1+ m] n = -[1+ nat.shiftl' tt m n] := rfl
@[simp]
lemma shiftr_neg_succ (m n : ℕ) : shiftr -[1+ m] n = -[1+ nat.shiftr m n] := by cases n; refl
lemma shiftr_add : ∀ (m : ℤ) (n k : ℕ), shiftr m (n + k) = shiftr (shiftr m n) k
| (m : ℕ) n k := by rw [shiftr_coe_nat, shiftr_coe_nat,
← int.coe_nat_add, shiftr_coe_nat, nat.shiftr_add]
| -[1+ m] n k := by rw [shiftr_neg_succ, shiftr_neg_succ,
← int.coe_nat_add, shiftr_neg_succ, nat.shiftr_add]
lemma shiftl_eq_mul_pow : ∀ (m : ℤ) (n : ℕ), shiftl m n = m * ↑(2 ^ n)
| (m : ℕ) n := congr_arg coe (nat.shiftl_eq_mul_pow _ _)
| -[1+ m] n := @congr_arg ℕ ℤ _ _ (λi, -i) (nat.shiftl'_tt_eq_mul_pow _ _)
lemma shiftr_eq_div_pow : ∀ (m : ℤ) (n : ℕ), shiftr m n = m / ↑(2 ^ n)
| (m : ℕ) n := by rw shiftr_coe_nat; exact congr_arg coe (nat.shiftr_eq_div_pow _ _)
| -[1+ m] n := begin
rw [shiftr_neg_succ, neg_succ_of_nat_div, nat.shiftr_eq_div_pow], refl,
exact coe_nat_lt_coe_nat_of_lt (nat.pos_pow_of_pos _ dec_trivial)
end
lemma one_shiftl (n : ℕ) : shiftl 1 n = (2 ^ n : ℕ) :=
congr_arg coe (nat.one_shiftl _)
@[simp] lemma zero_shiftl : ∀ n : ℤ, shiftl 0 n = 0
| (n : ℕ) := congr_arg coe (nat.zero_shiftl _)
| -[1+ n] := congr_arg coe (nat.zero_shiftr _)
@[simp] lemma zero_shiftr (n) : shiftr 0 n = 0 := zero_shiftl _
/- Least upper bound property for integers -/
section classical
open_locale classical
theorem exists_least_of_bdd {P : ℤ → Prop}
(Hbdd : ∃ b : ℤ, ∀ z : ℤ, P z → b ≤ z)
(Hinh : ∃ z : ℤ, P z) : ∃ lb : ℤ, P lb ∧ (∀ z : ℤ, P z → lb ≤ z) :=
let ⟨b, Hb⟩ := Hbdd in
have EX : ∃ n : ℕ, P (b + n), from
let ⟨elt, Helt⟩ := Hinh in
match elt, le.dest (Hb _ Helt), Helt with
| ._, ⟨n, rfl⟩, Hn := ⟨n, Hn⟩
end,
⟨b + (nat.find EX : ℤ), nat.find_spec EX, λ z h,
match z, le.dest (Hb _ h), h with
| ._, ⟨n, rfl⟩, h := add_le_add_left
(int.coe_nat_le.2 $ nat.find_min' _ h) _
end⟩
theorem exists_greatest_of_bdd {P : ℤ → Prop}
(Hbdd : ∃ b : ℤ, ∀ z : ℤ, P z → z ≤ b)
(Hinh : ∃ z : ℤ, P z) : ∃ ub : ℤ, P ub ∧ (∀ z : ℤ, P z → z ≤ ub) :=
have Hbdd' : ∃ (b : ℤ), ∀ (z : ℤ), P (-z) → b ≤ z, from
let ⟨b, Hb⟩ := Hbdd in ⟨-b, λ z h, neg_le.1 (Hb _ h)⟩,
have Hinh' : ∃ z : ℤ, P (-z), from
let ⟨elt, Helt⟩ := Hinh in ⟨-elt, by rw [neg_neg]; exact Helt⟩,
let ⟨lb, Plb, al⟩ := exists_least_of_bdd Hbdd' Hinh' in
⟨-lb, Plb, λ z h, le_neg.1 $ al _ $ by rwa neg_neg⟩
end classical
/- cast (injection into groups with one) -/
@[simp, push_cast] theorem nat_cast_eq_coe_nat : ∀ n,
@coe ℕ ℤ (@coe_to_lift _ _ nat.cast_coe) n =
@coe ℕ ℤ (@coe_to_lift _ _ (@coe_base _ _ int.has_coe)) n
| 0 := rfl
| (n+1) := congr_arg (+(1:ℤ)) (nat_cast_eq_coe_nat n)
/-- Coercion `ℕ → ℤ` as a `ring_hom`. -/
def of_nat_hom : ℕ →+* ℤ := ⟨coe, rfl, int.of_nat_mul, rfl, int.of_nat_add⟩
section cast
variables {α : Type*}
section
variables [has_zero α] [has_one α] [has_add α] [has_neg α]
/-- Canonical homomorphism from the integers to any ring(-like) structure `α` -/
protected def cast : ℤ → α
| (n : ℕ) := n
| -[1+ n] := -(n+1)
-- see Note [coercion into rings]
@[priority 900] instance cast_coe : has_coe_t ℤ α := ⟨int.cast⟩
@[simp, norm_cast] theorem cast_zero : ((0 : ℤ) : α) = 0 := rfl
theorem cast_of_nat (n : ℕ) : (of_nat n : α) = n := rfl
@[simp, norm_cast] theorem cast_coe_nat (n : ℕ) : ((n : ℤ) : α) = n := rfl
theorem cast_coe_nat' (n : ℕ) :
(@coe ℕ ℤ (@coe_to_lift _ _ nat.cast_coe) n : α) = n :=
by simp
@[simp, norm_cast] theorem cast_neg_succ_of_nat (n : ℕ) : (-[1+ n] : α) = -(n + 1) := rfl
end
@[simp, norm_cast] theorem cast_one [add_monoid α] [has_one α] [has_neg α] :
((1 : ℤ) : α) = 1 := nat.cast_one
@[simp, norm_cast] theorem cast_sub_nat_nat [add_group α] [has_one α] (m n) :
((int.sub_nat_nat m n : ℤ) : α) = m - n :=
begin
unfold sub_nat_nat, cases e : n - m,
{ simp [sub_nat_nat, e, nat.le_of_sub_eq_zero e] },
{ rw [sub_nat_nat, cast_neg_succ_of_nat, ← nat.cast_succ, ← e,
nat.cast_sub $ _root_.le_of_lt $ nat.lt_of_sub_eq_succ e, neg_sub] },
end
@[simp, norm_cast] theorem cast_neg_of_nat [add_group α] [has_one α] :
∀ n, ((neg_of_nat n : ℤ) : α) = -n
| 0 := neg_zero.symm
| (n+1) := rfl
@[simp, norm_cast] theorem cast_add [add_group α] [has_one α] : ∀ m n, ((m + n : ℤ) : α) = m + n
| (m : ℕ) (n : ℕ) := nat.cast_add _ _
| (m : ℕ) -[1+ n] := cast_sub_nat_nat _ _
| -[1+ m] (n : ℕ) := (cast_sub_nat_nat _ _).trans $ sub_eq_of_eq_add $
show (n:α) = -(m+1) + n + (m+1),
by rw [add_assoc, ← cast_succ, ← nat.cast_add, add_comm,
nat.cast_add, cast_succ, neg_add_cancel_left]
| -[1+ m] -[1+ n] := show -((m + n + 1 + 1 : ℕ) : α) = -(m + 1) + -(n + 1),
begin
rw [← neg_add_rev, ← nat.cast_add_one, ← nat.cast_add_one, ← nat.cast_add],
apply congr_arg (λ x:ℕ, -(x:α)),
ac_refl
end
@[simp, norm_cast] theorem cast_neg [add_group α] [has_one α] : ∀ n, ((-n : ℤ) : α) = -n
| (n : ℕ) := cast_neg_of_nat _
| -[1+ n] := (neg_neg _).symm
@[simp, norm_cast] theorem cast_sub [add_group α] [has_one α] (m n) : ((m - n : ℤ) : α) = m - n :=
by simp [sub_eq_add_neg]
@[simp]
theorem cast_eq_zero [add_group α] [has_one α] [char_zero α] {n : ℤ} : (n : α) = 0 ↔ n = 0 :=
⟨λ h, begin cases n,
{ exact congr_arg coe (nat.cast_eq_zero.1 h) },
{ rw [cast_neg_succ_of_nat, neg_eq_zero, ← cast_succ, nat.cast_eq_zero] at h,
contradiction }
end, λ h, by rw [h, cast_zero]⟩
@[simp, norm_cast] theorem cast_inj [add_group α] [has_one α] [char_zero α] {m n : ℤ} :
(m : α) = n ↔ m = n :=
by rw [← sub_eq_zero, ← cast_sub, cast_eq_zero, sub_eq_zero]
theorem cast_injective [add_group α] [has_one α] [char_zero α] : function.injective (coe : ℤ → α)
| m n := cast_inj.1
theorem cast_ne_zero [add_group α] [has_one α] [char_zero α] {n : ℤ} : (n : α) ≠ 0 ↔ n ≠ 0 :=
not_congr cast_eq_zero
@[simp, norm_cast] theorem cast_mul [ring α] : ∀ m n, ((m * n : ℤ) : α) = m * n
| (m : ℕ) (n : ℕ) := nat.cast_mul _ _
| (m : ℕ) -[1+ n] := (cast_neg_of_nat _).trans $
show (-(m * (n + 1) : ℕ) : α) = m * -(n + 1),
by rw [nat.cast_mul, nat.cast_add_one, neg_mul_eq_mul_neg]
| -[1+ m] (n : ℕ) := (cast_neg_of_nat _).trans $
show (-((m + 1) * n : ℕ) : α) = -(m + 1) * n,
by rw [nat.cast_mul, nat.cast_add_one, neg_mul_eq_neg_mul]
| -[1+ m] -[1+ n] := show (((m + 1) * (n + 1) : ℕ) : α) = -(m + 1) * -(n + 1),
by rw [nat.cast_mul, nat.cast_add_one, nat.cast_add_one, neg_mul_neg]
/-- `coe : ℤ → α` as an `add_monoid_hom`. -/
def cast_add_hom (α : Type*) [add_group α] [has_one α] : ℤ →+ α := ⟨coe, cast_zero, cast_add⟩
@[simp] lemma coe_cast_add_hom [add_group α] [has_one α] : ⇑(cast_add_hom α) = coe := rfl
/-- `coe : ℤ → α` as a `ring_hom`. -/
def cast_ring_hom (α : Type*) [ring α] : ℤ →+* α := ⟨coe, cast_one, cast_mul, cast_zero, cast_add⟩
@[simp] lemma coe_cast_ring_hom [ring α] : ⇑(cast_ring_hom α) = coe := rfl
lemma cast_commute [ring α] (m : ℤ) (x : α) : commute ↑m x :=
int.cases_on m (λ n, n.cast_commute x) (λ n, ((n+1).cast_commute x).neg_left)
lemma commute_cast [ring α] (x : α) (m : ℤ) : commute x m :=
(m.cast_commute x).symm
@[simp, norm_cast]
theorem coe_nat_bit0 (n : ℕ) : (↑(bit0 n) : ℤ) = bit0 ↑n := by {unfold bit0, simp}
@[simp, norm_cast]
theorem coe_nat_bit1 (n : ℕ) : (↑(bit1 n) : ℤ) = bit1 ↑n := by {unfold bit1, unfold bit0, simp}
@[simp, norm_cast] theorem cast_bit0 [ring α] (n : ℤ) : ((bit0 n : ℤ) : α) = bit0 n := cast_add _ _
@[simp, norm_cast] theorem cast_bit1 [ring α] (n : ℤ) : ((bit1 n : ℤ) : α) = bit1 n :=
by rw [bit1, cast_add, cast_one, cast_bit0]; refl
lemma cast_two [ring α] : ((2 : ℤ) : α) = 2 := by simp
theorem cast_nonneg [linear_ordered_ring α] : ∀ {n : ℤ}, (0 : α) ≤ n ↔ 0 ≤ n
| (n : ℕ) := by simp
| -[1+ n] := by simpa [not_le_of_gt (neg_succ_lt_zero n)] using
show -(n:α) < 1, from lt_of_le_of_lt (by simp) zero_lt_one
@[simp, norm_cast] theorem cast_le [linear_ordered_ring α] {m n : ℤ} : (m : α) ≤ n ↔ m ≤ n :=
by rw [← sub_nonneg, ← cast_sub, cast_nonneg, sub_nonneg]
@[simp, norm_cast] theorem cast_lt [linear_ordered_ring α] {m n : ℤ} : (m : α) < n ↔ m < n :=
by simpa [-cast_le] using not_congr (@cast_le α _ n m)
@[simp] theorem cast_nonpos [linear_ordered_ring α] {n : ℤ} : (n : α) ≤ 0 ↔ n ≤ 0 :=
by rw [← cast_zero, cast_le]
@[simp] theorem cast_pos [linear_ordered_ring α] {n : ℤ} : (0 : α) < n ↔ 0 < n :=
by rw [← cast_zero, cast_lt]
@[simp] theorem cast_lt_zero [linear_ordered_ring α] {n : ℤ} : (n : α) < 0 ↔ n < 0 :=
by rw [← cast_zero, cast_lt]
@[simp, norm_cast] theorem cast_min [decidable_linear_ordered_comm_ring α] {a b : ℤ} :
(↑(min a b) : α) = min a b :=
by by_cases a ≤ b; simp [h, min]
@[simp, norm_cast] theorem cast_max [decidable_linear_ordered_comm_ring α] {a b : ℤ} :
(↑(max a b) : α) = max a b :=
by by_cases a ≤ b; simp [h, max]
@[simp, norm_cast] theorem cast_abs [decidable_linear_ordered_comm_ring α] {q : ℤ} :
((abs q : ℤ) : α) = abs q :=
by simp [abs]
end cast
section decidable
/-- List enumerating `[m, n)`. -/
def range (m n : ℤ) : list ℤ :=
(list.range (to_nat (n-m))).map $ λ r, m+r
theorem mem_range_iff {m n r : ℤ} : r ∈ range m n ↔ m ≤ r ∧ r < n :=
⟨λ H, let ⟨s, h1, h2⟩ := list.mem_map.1 H in h2 ▸
⟨le_add_of_nonneg_right trivial,
add_lt_of_lt_sub_left $ match n-m, h1 with
| (k:ℕ), h1 := by rwa [list.mem_range, to_nat_coe_nat, ← coe_nat_lt] at h1
end⟩,
λ ⟨h1, h2⟩, list.mem_map.2 ⟨to_nat (r-m),
list.mem_range.2 $ by rw [← coe_nat_lt, to_nat_of_nonneg (sub_nonneg_of_le h1),
to_nat_of_nonneg (sub_nonneg_of_le (le_of_lt (lt_of_le_of_lt h1 h2)))];
exact sub_lt_sub_right h2 _,
show m + _ = _, by rw [to_nat_of_nonneg (sub_nonneg_of_le h1), add_sub_cancel'_right]⟩⟩
instance decidable_le_lt (P : int → Prop) [decidable_pred P] (m n : ℤ) :
decidable (∀ r, m ≤ r → r < n → P r) :=
decidable_of_iff (∀ r ∈ range m n, P r) $ by simp only [mem_range_iff, and_imp]
instance decidable_le_le (P : int → Prop) [decidable_pred P] (m n : ℤ) :
decidable (∀ r, m ≤ r → r ≤ n → P r) :=
decidable_of_iff (∀ r ∈ range m (n+1), P r) $ by simp only [mem_range_iff, and_imp, lt_add_one_iff]
instance decidable_lt_lt (P : int → Prop) [decidable_pred P] (m n : ℤ) :
decidable (∀ r, m < r → r < n → P r) :=
int.decidable_le_lt P _ _
instance decidable_lt_le (P : int → Prop) [decidable_pred P] (m n : ℤ) :
decidable (∀ r, m < r → r ≤ n → P r) :=
int.decidable_le_le P _ _
end decidable
end int
open int
namespace add_monoid_hom
variables {A : Type*}
/-- Two additive monoid homomorphisms `f`, `g` from `ℤ` to an additive monoid are equal
if `f 1 = g 1`. -/
@[ext] theorem ext_int [add_monoid A] {f g : ℤ →+ A} (h1 : f 1 = g 1) : f = g :=
have f.comp (int.of_nat_hom : ℕ →+ ℤ) = g.comp (int.of_nat_hom : ℕ →+ ℤ) := ext_nat h1,
have ∀ n : ℕ, f n = g n := ext_iff.1 this,
ext $ λ n, int.cases_on n this $ λ n, eq_on_neg (this $ n + 1)
variables [add_group A] [has_one A]
theorem eq_int_cast_hom (f : ℤ →+ A) (h1 : f 1 = 1) : f = int.cast_add_hom A :=
ext_int $ by simp [h1]
theorem eq_int_cast (f : ℤ →+ A) (h1 : f 1 = 1) : ∀ n : ℤ, f n = n :=
ext_iff.1 (f.eq_int_cast_hom h1)
end add_monoid_hom
namespace ring_hom
variables {α : Type*} {β : Type*} [ring α] [ring β]
@[simp] lemma eq_int_cast (f : ℤ →+* α) (n : ℤ) : f n = n :=
f.to_add_monoid_hom.eq_int_cast f.map_one n
lemma eq_int_cast' (f : ℤ →+* α) : f = int.cast_ring_hom α :=
ring_hom.ext f.eq_int_cast
@[simp] lemma map_int_cast (f : α →+* β) (n : ℤ) : f n = n :=
(f.comp (int.cast_ring_hom α)).eq_int_cast n
lemma ext_int {R : Type*} [semiring R] (f g : ℤ →+* R) : f = g :=
coe_add_monoid_hom_injective $ add_monoid_hom.ext_int $ f.map_one.trans g.map_one.symm
instance int.subsingleton_ring_hom {R : Type*} [semiring R] : subsingleton (ℤ →+* R) :=
⟨ring_hom.ext_int⟩
end ring_hom
@[simp, norm_cast] theorem int.cast_id (n : ℤ) : ↑n = n :=
((ring_hom.id ℤ).eq_int_cast n).symm
|
a441cb7e88db09883b52f2e1d596e3e15891632b | 367134ba5a65885e863bdc4507601606690974c1 | /src/tactic/omega/term.lean | de2e3cd34ea02364445e553a4f6a23b9db2c4858 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 2,675 | lean | /-
Copyright (c) 2019 Seul Baek. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Seul Baek
-/
/-
Normalized linear integer arithmetic terms.
-/
import tactic.omega.coeffs
namespace omega
/-- Shadow syntax of normalized terms. The first element
represents the constant term and the list represents
the coefficients. -/
@[derive inhabited]
def term : Type := int × list int
namespace term
/-- Evaluate a term using the valuation v. -/
@[simp] def val (v : nat → int) : term → int
| (b,as) := b + coeffs.val v as
@[simp] def neg : term → term
| (b,as) := (-b, list.func.neg as)
@[simp] def add : term → term → term
| (c1,cfs1) (c2,cfs2) := (c1+c2, list.func.add cfs1 cfs2)
@[simp] def sub : term → term → term
| (c1,cfs1) (c2,cfs2) := (c1 - c2, list.func.sub cfs1 cfs2)
@[simp] def mul (i : int) : term → term
| (b,as) := (i * b, as.map ((*) i))
@[simp] def div (i : int) : term → term
| (b,as) := (b/i, as.map (λ x, x / i))
lemma val_neg {v : nat → int} {t : term} :
(neg t).val v = -(t.val v) :=
begin
cases t with b as,
simp only [val, neg_add, neg, val, coeffs.val_neg]
end
@[simp] lemma val_sub {v : nat → int} {t1 t2 : term} :
(sub t1 t2).val v = t1.val v - t2.val v :=
begin
cases t1, cases t2,
simp only [add_assoc, coeffs.val_sub, neg_add_rev,
val, sub, add_comm, add_left_comm, sub_eq_add_neg]
end
@[simp] lemma val_add {v : nat → int} {t1 t2 : term} :
(add t1 t2).val v = t1.val v + t2.val v :=
begin
cases t1, cases t2,
simp only [coeffs.val_add, add,
val, add_comm, add_left_comm]
end
@[simp] lemma val_mul {v : nat → int} {i : int} {t : term} :
val v (mul i t) = i * (val v t) :=
begin
cases t,
simp only [mul, mul_add, add_mul, list.length_map,
coeffs.val, coeffs.val_between_map_mul, val, list.map]
end
lemma val_div {v : nat → int} {i b : int} {as : list int} :
i ∣ b → (∀ x ∈ as, i ∣ x) → (div i (b,as)).val v = (val v (b,as)) / i :=
begin
intros h1 h2, simp only [val, div, list.map],
rw [int.add_div_of_dvd_left h1],
apply fun_mono_2 rfl,
rw ← coeffs.val_map_div h2
end
/-- Fresh de Brujin index not used by any variable ocurring in the term -/
def fresh_index (t : term) : nat := t.snd.length
def to_string (t : term) : string :=
t.2.enum.foldr (λ ⟨i, n⟩ r,
to_string n ++ " * x" ++ to_string i ++ " + " ++ r) (to_string t.1)
instance : has_to_string term := ⟨to_string⟩
end term
/-- Fresh de Brujin index not used by any variable ocurring in the list of terms -/
def terms.fresh_index : list term → nat
| [] := 0
| (t::ts) := max t.fresh_index (terms.fresh_index ts)
end omega
|
f90e2cd68e43e649227fa10029a46e1a654b64ec | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /src/logic/relation.lean | 249e24aef2306fcba58dbdd2593c46c6371db122 | [
"Apache-2.0"
] | permissive | robertylewis/mathlib | 3d16e3e6daf5ddde182473e03a1b601d2810952c | 1d13f5b932f5e40a8308e3840f96fc882fae01f0 | refs/heads/master | 1,651,379,945,369 | 1,644,276,960,000 | 1,644,276,960,000 | 98,875,504 | 0 | 0 | Apache-2.0 | 1,644,253,514,000 | 1,501,495,700,000 | Lean | UTF-8 | Lean | false | false | 20,557 | lean | /-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import tactic.basic
import logic.relator
/-!
# Relation closures
This file defines the reflexive, transitive, and reflexive transitive closures of relations.
It also proves some basic results on definitions in core, such as `eqv_gen`.
Note that this is about unbundled relations, that is terms of types of the form `α → β → Prop`. For
the bundled version, see `rel`.
## Definitions
* `relation.refl_gen`: Reflexive closure. `refl_gen r` relates everything `r` related, plus for all
`a` it relates `a` with itself. So `refl_gen r a b ↔ r a b ∨ a = b`.
* `relation.trans_gen`: Transitive closure. `trans_gen r` relates everything `r` related
transitively. So `trans_gen r a b ↔ ∃ x₀ ... xₙ, r a x₀ ∧ r x₀ x₁ ∧ ... ∧ r xₙ b`.
* `relation.refl_trans_gen`: Reflexive transitive closure. `refl_trans_gen r` relates everything
`r` related transitively, plus for all `a` it relates `a` with itself. So
`refl_trans_gen r a b ↔ (∃ x₀ ... xₙ, r a x₀ ∧ r x₀ x₁ ∧ ... ∧ r xₙ b) ∨ a = b`. It is the same as
the reflexive closure of the transitive closure, or the transitive closure of the reflexive
closure. In terms of rewriting systems, this means that `a` can be rewritten to `b` in a number of
rewrites.
* `relation.comp`: Relation composition. We provide notation `∘r`. For `r : α → β → Prop` and
`s : β → γ → Prop`, `r ∘r s`relates `a : α` and `c : γ` iff there exists `b : β` that's related to
both.
* `relation.map`: Image of a relation under a pair of maps. For `r : α → β → Prop`, `f : α → γ`,
`g : β → δ`, `map r f g` is the relation `γ → δ → Prop` relating `f a` and `g b` for all `a`, `b`
related by `r`.
* `relation.join`: Join of a relation. For `r : α → α → Prop`, `join r a b ↔ ∃ c, r a c ∧ r b c`. In
terms of rewriting systems, this means that `a` and `b` can be rewritten to the same term.
-/
open function
variables {α β γ δ : Type*}
section ne_imp
variable {r : α → α → Prop}
lemma is_refl.reflexive [is_refl α r] : reflexive r :=
λ x, is_refl.refl x
/-- To show a reflexive relation `r : α → α → Prop` holds over `x y : α`,
it suffices to show it holds when `x ≠ y`. -/
lemma reflexive.rel_of_ne_imp (h : reflexive r) {x y : α} (hr : x ≠ y → r x y) : r x y :=
begin
by_cases hxy : x = y,
{ exact hxy ▸ h x },
{ exact hr hxy }
end
/-- If a reflexive relation `r : α → α → Prop` holds over `x y : α`,
then it holds whether or not `x ≠ y`. -/
lemma reflexive.ne_imp_iff (h : reflexive r) {x y : α} :
(x ≠ y → r x y) ↔ r x y :=
⟨h.rel_of_ne_imp, λ hr _, hr⟩
/-- If a reflexive relation `r : α → α → Prop` holds over `x y : α`,
then it holds whether or not `x ≠ y`. Unlike `reflexive.ne_imp_iff`, this uses `[is_refl α r]`. -/
lemma reflexive_ne_imp_iff [is_refl α r] {x y : α} :
(x ≠ y → r x y) ↔ r x y :=
is_refl.reflexive.ne_imp_iff
protected lemma symmetric.iff (H : symmetric r) (x y : α) : r x y ↔ r y x := ⟨λ h, H h, λ h, H h⟩
end ne_imp
section comap
variables {r : β → β → Prop}
lemma reflexive.comap (h : reflexive r) (f : α → β) : reflexive (r on f) :=
λ a, h (f a)
lemma symmetric.comap (h : symmetric r) (f : α → β) : symmetric (r on f) :=
λ a b hab, h hab
lemma transitive.comap (h : transitive r) (f : α → β) : transitive (r on f) :=
λ a b c hab hbc, h hab hbc
lemma equivalence.comap (h : equivalence r) (f : α → β) : equivalence (r on f) :=
⟨h.1.comap f, h.2.1.comap f, h.2.2.comap f⟩
end comap
namespace relation
section comp
variables {r : α → β → Prop} {p : β → γ → Prop} {q : γ → δ → Prop}
/--
The composition of two relations, yielding a new relation. The result
relates a term of `α` and a term of `γ` if there is an intermediate
term of `β` related to both.
-/
def comp (r : α → β → Prop) (p : β → γ → Prop) (a : α) (c : γ) : Prop := ∃ b, r a b ∧ p b c
local infixr ` ∘r ` : 80 := relation.comp
lemma comp_eq : r ∘r (=) = r :=
funext $ λ a, funext $ λ b, propext $ iff.intro
(λ ⟨c, h, eq⟩, eq ▸ h)
(λ h, ⟨b, h, rfl⟩)
lemma eq_comp : (=) ∘r r = r :=
funext $ λ a, funext $ λ b, propext $ iff.intro
(λ ⟨c, eq, h⟩, eq.symm ▸ h)
(λ h, ⟨a, rfl, h⟩)
lemma iff_comp {r : Prop → α → Prop} : (↔) ∘r r = r :=
have (↔) = (=), by funext a b; exact iff_eq_eq,
by rw [this, eq_comp]
lemma comp_iff {r : α → Prop → Prop} : r ∘r (↔) = r :=
have (↔) = (=), by funext a b; exact iff_eq_eq,
by rw [this, comp_eq]
lemma comp_assoc : (r ∘r p) ∘r q = r ∘r p ∘r q :=
begin
funext a d, apply propext,
split,
exact λ ⟨c, ⟨b, hab, hbc⟩, hcd⟩, ⟨b, hab, c, hbc, hcd⟩,
exact λ ⟨b, hab, c, hbc, hcd⟩, ⟨c, ⟨b, hab, hbc⟩, hcd⟩
end
lemma flip_comp : flip (r ∘r p) = (flip p) ∘r (flip r) :=
begin
funext c a, apply propext,
split,
exact λ ⟨b, hab, hbc⟩, ⟨b, hbc, hab⟩,
exact λ ⟨b, hbc, hab⟩, ⟨b, hab, hbc⟩
end
end comp
/--
The map of a relation `r` through a pair of functions pushes the
relation to the codomains of the functions. The resulting relation is
defined by having pairs of terms related if they have preimages
related by `r`.
-/
protected def map (r : α → β → Prop) (f : α → γ) (g : β → δ) : γ → δ → Prop :=
λ c d, ∃ a b, r a b ∧ f a = c ∧ g b = d
variables {r : α → α → Prop} {a b c d : α}
/-- `refl_trans_gen r`: reflexive transitive closure of `r` -/
@[mk_iff relation.refl_trans_gen.cases_tail_iff]
inductive refl_trans_gen (r : α → α → Prop) (a : α) : α → Prop
| refl : refl_trans_gen a
| tail {b c} : refl_trans_gen b → r b c → refl_trans_gen c
attribute [refl] refl_trans_gen.refl
/-- `refl_gen r`: reflexive closure of `r` -/
@[mk_iff] inductive refl_gen (r : α → α → Prop) (a : α) : α → Prop
| refl : refl_gen a
| single {b} : r a b → refl_gen b
/-- `trans_gen r`: transitive closure of `r` -/
@[mk_iff] inductive trans_gen (r : α → α → Prop) (a : α) : α → Prop
| single {b} : r a b → trans_gen b
| tail {b c} : trans_gen b → r b c → trans_gen c
attribute [refl] refl_gen.refl
namespace refl_gen
lemma to_refl_trans_gen : ∀ {a b}, refl_gen r a b → refl_trans_gen r a b
| a _ refl := by refl
| a b (single h) := refl_trans_gen.tail refl_trans_gen.refl h
lemma mono {p : α → α → Prop} (hp : ∀ a b, r a b → p a b) : ∀ {a b}, refl_gen r a b → refl_gen p a b
| a _ refl_gen.refl := by refl
| a b (single h) := single (hp a b h)
end refl_gen
namespace refl_trans_gen
@[trans]
lemma trans (hab : refl_trans_gen r a b) (hbc : refl_trans_gen r b c) : refl_trans_gen r a c :=
begin
induction hbc,
case refl_trans_gen.refl { assumption },
case refl_trans_gen.tail : c d hbc hcd hac { exact hac.tail hcd }
end
lemma single (hab : r a b) : refl_trans_gen r a b :=
refl.tail hab
lemma head (hab : r a b) (hbc : refl_trans_gen r b c) : refl_trans_gen r a c :=
begin
induction hbc,
case refl_trans_gen.refl { exact refl.tail hab },
case refl_trans_gen.tail : c d hbc hcd hac { exact hac.tail hcd }
end
lemma symmetric (h : symmetric r) : symmetric (refl_trans_gen r) :=
begin
intros x y h,
induction h with z w a b c,
{ refl },
{ apply relation.refl_trans_gen.head (h b) c }
end
lemma cases_tail : refl_trans_gen r a b → b = a ∨ (∃ c, refl_trans_gen r a c ∧ r c b) :=
(cases_tail_iff r a b).1
@[elab_as_eliminator]
lemma head_induction_on
{P : ∀ (a:α), refl_trans_gen r a b → Prop}
{a : α} (h : refl_trans_gen r a b)
(refl : P b refl)
(head : ∀ {a c} (h' : r a c) (h : refl_trans_gen r c b), P c h → P a (h.head h')) :
P a h :=
begin
induction h generalizing P,
case refl_trans_gen.refl { exact refl },
case refl_trans_gen.tail : b c hab hbc ih
{ apply ih,
show P b _, from head hbc _ refl,
show ∀ a a', r a a' → refl_trans_gen r a' b → P a' _ → P a _,
from λ a a' hab hbc, head hab _ }
end
@[elab_as_eliminator]
lemma trans_induction_on
{P : ∀ {a b : α}, refl_trans_gen r a b → Prop}
{a b : α} (h : refl_trans_gen r a b)
(ih₁ : ∀ a, @P a a refl)
(ih₂ : ∀ {a b} (h : r a b), P (single h))
(ih₃ : ∀ {a b c} (h₁ : refl_trans_gen r a b) (h₂ : refl_trans_gen r b c),
P h₁ → P h₂ → P (h₁.trans h₂)) :
P h :=
begin
induction h,
case refl_trans_gen.refl { exact ih₁ a },
case refl_trans_gen.tail : b c hab hbc ih { exact ih₃ hab (single hbc) ih (ih₂ hbc) }
end
lemma cases_head (h : refl_trans_gen r a b) : a = b ∨ (∃ c, r a c ∧ refl_trans_gen r c b) :=
begin
induction h using relation.refl_trans_gen.head_induction_on,
{ left, refl },
{ right, existsi _, split; assumption }
end
lemma cases_head_iff : refl_trans_gen r a b ↔ a = b ∨ (∃ c, r a c ∧ refl_trans_gen r c b) :=
begin
use cases_head,
rintro (rfl | ⟨c, hac, hcb⟩),
{ refl },
{ exact head hac hcb }
end
lemma total_of_right_unique (U : relator.right_unique r)
(ab : refl_trans_gen r a b) (ac : refl_trans_gen r a c) :
refl_trans_gen r b c ∨ refl_trans_gen r c b :=
begin
induction ab with b d ab bd IH,
{ exact or.inl ac },
{ rcases IH with IH | IH,
{ rcases cases_head IH with rfl | ⟨e, be, ec⟩,
{ exact or.inr (single bd) },
{ cases U bd be, exact or.inl ec } },
{ exact or.inr (IH.tail bd) } }
end
end refl_trans_gen
namespace trans_gen
lemma to_refl {a b} (h : trans_gen r a b) : refl_trans_gen r a b :=
begin
induction h with b h b c _ bc ab,
exact refl_trans_gen.single h,
exact refl_trans_gen.tail ab bc
end
@[trans] lemma trans_left (hab : trans_gen r a b) (hbc : refl_trans_gen r b c) : trans_gen r a c :=
begin
induction hbc,
case refl_trans_gen.refl : { assumption },
case refl_trans_gen.tail : c d hbc hcd hac { exact hac.tail hcd }
end
@[trans] lemma trans (hab : trans_gen r a b) (hbc : trans_gen r b c) : trans_gen r a c :=
trans_left hab hbc.to_refl
lemma head' (hab : r a b) (hbc : refl_trans_gen r b c) : trans_gen r a c :=
trans_left (single hab) hbc
lemma tail' (hab : refl_trans_gen r a b) (hbc : r b c) : trans_gen r a c :=
begin
induction hab generalizing c,
case refl_trans_gen.refl : c hac { exact single hac },
case refl_trans_gen.tail : d b hab hdb IH { exact tail (IH hdb) hbc }
end
lemma head (hab : r a b) (hbc : trans_gen r b c) : trans_gen r a c :=
head' hab hbc.to_refl
@[elab_as_eliminator]
lemma head_induction_on
{P : ∀ (a:α), trans_gen r a b → Prop}
{a : α} (h : trans_gen r a b)
(base : ∀ {a} (h : r a b), P a (single h))
(ih : ∀ {a c} (h' : r a c) (h : trans_gen r c b), P c h → P a (h.head h')) :
P a h :=
begin
induction h generalizing P,
case single : a h { exact base h },
case tail : b c hab hbc h_ih
{ apply h_ih,
show ∀ a, r a b → P a _, from λ a h, ih h (single hbc) (base hbc),
show ∀ a a', r a a' → trans_gen r a' b → P a' _ → P a _, from λ a a' hab hbc, ih hab _ }
end
@[elab_as_eliminator]
lemma trans_induction_on
{P : ∀ {a b : α}, trans_gen r a b → Prop}
{a b : α} (h : trans_gen r a b)
(base : ∀ {a b} (h : r a b), P (single h))
(ih : ∀ {a b c} (h₁ : trans_gen r a b) (h₂ : trans_gen r b c), P h₁ → P h₂ → P (h₁.trans h₂)) :
P h :=
begin
induction h,
case single : a h { exact base h },
case tail : b c hab hbc h_ih { exact ih hab (single hbc) h_ih (base hbc) }
end
@[trans] lemma trans_right (hab : refl_trans_gen r a b) (hbc : trans_gen r b c) : trans_gen r a c :=
begin
induction hbc,
case trans_gen.single : c hbc { exact tail' hab hbc },
case trans_gen.tail : c d hbc hcd hac { exact hac.tail hcd }
end
lemma tail'_iff : trans_gen r a c ↔ ∃ b, refl_trans_gen r a b ∧ r b c :=
begin
refine ⟨λ h, _, λ ⟨b, hab, hbc⟩, tail' hab hbc⟩,
cases h with _ hac b _ hab hbc,
{ exact ⟨_, by refl, hac⟩ },
{ exact ⟨_, hab.to_refl, hbc⟩ }
end
lemma head'_iff : trans_gen r a c ↔ ∃ b, r a b ∧ refl_trans_gen r b c :=
begin
refine ⟨λ h, _, λ ⟨b, hab, hbc⟩, head' hab hbc⟩,
induction h,
case trans_gen.single : c hac { exact ⟨_, hac, by refl⟩ },
case trans_gen.tail : b c hab hbc IH
{ rcases IH with ⟨d, had, hdb⟩, exact ⟨_, had, hdb.tail hbc⟩ }
end
end trans_gen
section trans_gen
lemma trans_gen_eq_self (trans : transitive r) :
trans_gen r = r :=
funext $ λ a, funext $ λ b, propext $
⟨λ h, begin
induction h,
case trans_gen.single : c hc { exact hc },
case trans_gen.tail : c d hac hcd hac { exact trans hac hcd }
end,
trans_gen.single⟩
lemma transitive_trans_gen : transitive (trans_gen r) :=
λ a b c, trans_gen.trans
lemma trans_gen_idem :
trans_gen (trans_gen r) = trans_gen r :=
trans_gen_eq_self transitive_trans_gen
lemma trans_gen.lift {p : β → β → Prop} {a b : α} (f : α → β)
(h : ∀ a b, r a b → p (f a) (f b)) (hab : trans_gen r a b) : trans_gen p (f a) (f b) :=
begin
induction hab,
case trans_gen.single : c hac { exact trans_gen.single (h a c hac) },
case trans_gen.tail : c d hac hcd hac { exact trans_gen.tail hac (h c d hcd) }
end
lemma trans_gen.lift' {p : β → β → Prop} {a b : α} (f : α → β)
(h : ∀ a b, r a b → trans_gen p (f a) (f b))
(hab : trans_gen r a b) : trans_gen p (f a) (f b) :=
by simpa [trans_gen_idem] using hab.lift f h
lemma trans_gen.closed {p : α → α → Prop} :
(∀ a b, r a b → trans_gen p a b) → trans_gen r a b → trans_gen p a b :=
trans_gen.lift' id
lemma trans_gen.mono {p : α → α → Prop} :
(∀ a b, r a b → p a b) → trans_gen r a b → trans_gen p a b :=
trans_gen.lift id
lemma trans_gen.swap (h : trans_gen r b a) : trans_gen (swap r) a b :=
by { induction h with b h b c hab hbc ih, { exact trans_gen.single h }, exact ih.head hbc }
lemma trans_gen_swap : trans_gen (swap r) a b ↔ trans_gen r b a :=
⟨trans_gen.swap, trans_gen.swap⟩
end trans_gen
section refl_trans_gen
open refl_trans_gen
lemma refl_trans_gen_iff_eq (h : ∀ b, ¬ r a b) : refl_trans_gen r a b ↔ b = a :=
by rw [cases_head_iff]; simp [h, eq_comm]
lemma refl_trans_gen_iff_eq_or_trans_gen :
refl_trans_gen r a b ↔ b = a ∨ trans_gen r a b :=
begin
refine ⟨λ h, _, λ h, _⟩,
{ cases h with c _ hac hcb,
{ exact or.inl rfl },
{ exact or.inr (trans_gen.tail' hac hcb) } },
{ rcases h with rfl | h, {refl}, {exact h.to_refl} }
end
lemma refl_trans_gen.lift {p : β → β → Prop} {a b : α} (f : α → β)
(h : ∀ a b, r a b → p (f a) (f b)) (hab : refl_trans_gen r a b) : refl_trans_gen p (f a) (f b) :=
refl_trans_gen.trans_induction_on hab (λ a, refl)
(λ a b, refl_trans_gen.single ∘ h _ _) (λ a b c _ _, trans)
lemma refl_trans_gen.mono {p : α → α → Prop} :
(∀ a b, r a b → p a b) → refl_trans_gen r a b → refl_trans_gen p a b :=
refl_trans_gen.lift id
lemma refl_trans_gen_eq_self (refl : reflexive r) (trans : transitive r) :
refl_trans_gen r = r :=
funext $ λ a, funext $ λ b, propext $
⟨λ h, begin
induction h with b c h₁ h₂ IH, {apply refl},
exact trans IH h₂,
end, single⟩
lemma reflexive_refl_trans_gen : reflexive (refl_trans_gen r) :=
λ a, refl
lemma transitive_refl_trans_gen : transitive (refl_trans_gen r) :=
λ a b c, trans
lemma refl_trans_gen_idem :
refl_trans_gen (refl_trans_gen r) = refl_trans_gen r :=
refl_trans_gen_eq_self reflexive_refl_trans_gen transitive_refl_trans_gen
lemma refl_trans_gen.lift' {p : β → β → Prop} {a b : α} (f : α → β)
(h : ∀ a b, r a b → refl_trans_gen p (f a) (f b))
(hab : refl_trans_gen r a b) : refl_trans_gen p (f a) (f b) :=
by simpa [refl_trans_gen_idem] using hab.lift f h
lemma refl_trans_gen_closed {p : α → α → Prop} :
(∀ a b, r a b → refl_trans_gen p a b) → refl_trans_gen r a b → refl_trans_gen p a b :=
refl_trans_gen.lift' id
lemma refl_trans_gen.swap (h : refl_trans_gen r b a) : refl_trans_gen (swap r) a b :=
by { induction h with b c hab hbc ih, { refl }, exact ih.head hbc }
lemma refl_trans_gen_swap : refl_trans_gen (swap r) a b ↔ refl_trans_gen r b a :=
⟨refl_trans_gen.swap, refl_trans_gen.swap⟩
end refl_trans_gen
/--
The join of a relation on a single type is a new relation for which
pairs of terms are related if there is a third term they are both
related to. For example, if `r` is a relation representing rewrites
in a term rewriting system, then *confluence* is the property that if
`a` rewrites to both `b` and `c`, then `join r` relates `b` and `c`
(see `relation.church_rosser`).
-/
def join (r : α → α → Prop) : α → α → Prop := λ a b, ∃ c, r a c ∧ r b c
section join
open refl_trans_gen refl_gen
/-- A sufficient condition for the Church-Rosser property. -/
lemma church_rosser
(h : ∀ a b c, r a b → r a c → ∃ d, refl_gen r b d ∧ refl_trans_gen r c d)
(hab : refl_trans_gen r a b) (hac : refl_trans_gen r a c) : join (refl_trans_gen r) b c :=
begin
induction hab,
case refl_trans_gen.refl { exact ⟨c, hac, refl⟩ },
case refl_trans_gen.tail : d e had hde ih
{ clear hac had a,
rcases ih with ⟨b, hdb, hcb⟩,
have : ∃ a, refl_trans_gen r e a ∧ refl_gen r b a,
{ clear hcb, induction hdb,
case refl_trans_gen.refl { exact ⟨e, refl, refl_gen.single hde⟩ },
case refl_trans_gen.tail : f b hdf hfb ih
{ rcases ih with ⟨a, hea, hfa⟩,
cases hfa with _ hfa,
{ exact ⟨b, hea.tail hfb, refl_gen.refl⟩ },
{ rcases h _ _ _ hfb hfa with ⟨c, hbc, hac⟩,
exact ⟨c, hea.trans hac, hbc⟩ } } },
rcases this with ⟨a, hea, hba⟩, cases hba with _ hba,
{ exact ⟨b, hea, hcb⟩ },
{ exact ⟨a, hea, hcb.tail hba⟩ } }
end
lemma join_of_single (h : reflexive r) (hab : r a b) : join r a b :=
⟨b, hab, h b⟩
lemma symmetric_join : symmetric (join r) :=
λ a b ⟨c, hac, hcb⟩, ⟨c, hcb, hac⟩
lemma reflexive_join (h : reflexive r) : reflexive (join r) :=
λ a, ⟨a, h a, h a⟩
lemma transitive_join (ht : transitive r) (h : ∀ a b c, r a b → r a c → join r b c) :
transitive (join r) :=
λ a b c ⟨x, hax, hbx⟩ ⟨y, hby, hcy⟩,
let ⟨z, hxz, hyz⟩ := h b x y hbx hby in
⟨z, ht hax hxz, ht hcy hyz⟩
lemma equivalence_join (hr : reflexive r) (ht : transitive r)
(h : ∀ a b c, r a b → r a c → join r b c) :
equivalence (join r) :=
⟨reflexive_join hr, symmetric_join, transitive_join ht h⟩
lemma equivalence_join_refl_trans_gen
(h : ∀ a b c, r a b → r a c → ∃ d, refl_gen r b d ∧ refl_trans_gen r c d) :
equivalence (join (refl_trans_gen r)) :=
equivalence_join reflexive_refl_trans_gen transitive_refl_trans_gen (λ a b c, church_rosser h)
lemma join_of_equivalence {r' : α → α → Prop} (hr : equivalence r)
(h : ∀ a b, r' a b → r a b) : join r' a b → r a b
| ⟨c, hac, hbc⟩ := hr.2.2 (h _ _ hac) (hr.2.1 $ h _ _ hbc)
lemma refl_trans_gen_of_transitive_reflexive {r' : α → α → Prop} (hr : reflexive r)
(ht : transitive r) (h : ∀ a b, r' a b → r a b) (h' : refl_trans_gen r' a b) :
r a b :=
begin
induction h' with b c hab hbc ih,
{ exact hr _ },
{ exact ht ih (h _ _ hbc) }
end
lemma refl_trans_gen_of_equivalence {r' : α → α → Prop} (hr : equivalence r) :
(∀ a b, r' a b → r a b) → refl_trans_gen r' a b → r a b :=
refl_trans_gen_of_transitive_reflexive hr.1 hr.2.2
end join
end relation
section eqv_gen
variables {r : α → α → Prop} {a b : α}
lemma equivalence.eqv_gen_iff (h : equivalence r) : eqv_gen r a b ↔ r a b :=
iff.intro
begin
intro h,
induction h,
case eqv_gen.rel { assumption },
case eqv_gen.refl { exact h.1 _ },
case eqv_gen.symm { apply h.2.1, assumption },
case eqv_gen.trans : a b c _ _ hab hbc { exact h.2.2 hab hbc }
end
(eqv_gen.rel a b)
lemma equivalence.eqv_gen_eq (h : equivalence r) : eqv_gen r = r :=
funext $ λ _, funext $ λ _, propext $ h.eqv_gen_iff
lemma eqv_gen.mono {r p : α → α → Prop}
(hrp : ∀ a b, r a b → p a b) (h : eqv_gen r a b) : eqv_gen p a b :=
begin
induction h,
case eqv_gen.rel : a b h { exact eqv_gen.rel _ _ (hrp _ _ h) },
case eqv_gen.refl : { exact eqv_gen.refl _ },
case eqv_gen.symm : a b h ih { exact eqv_gen.symm _ _ ih },
case eqv_gen.trans : a b c ih1 ih2 hab hbc { exact eqv_gen.trans _ _ _ hab hbc }
end
end eqv_gen
|
60f80fb7af2ad13c8742ff46fe4fa120dd76702d | 367134ba5a65885e863bdc4507601606690974c1 | /src/category_theory/is_connected.lean | bec73cf91a3598f154815073347d05bd220d50b4 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 12,870 | lean | /-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta
-/
import data.list.chain
import category_theory.punit
/-!
# Connected category
Define a connected category as a _nonempty_ category for which every functor
to a discrete category is isomorphic to the constant functor.
NB. Some authors include the empty category as connected, we do not.
We instead are interested in categories with exactly one 'connected
component'.
We give some equivalent definitions:
- A nonempty category for which every functor to a discrete category is
constant on objects.
See `any_functor_const_on_obj` and `connected.of_any_functor_const_on_obj`.
- A nonempty category for which every function `F` for which the presence of a
morphism `f : j₁ ⟶ j₂` implies `F j₁ = F j₂` must be constant everywhere.
See `constant_of_preserves_morphisms` and `connected.of_constant_of_preserves_morphisms`.
- A nonempty category for which any subset of its elements containing the
default and closed under morphisms is everything.
See `induct_on_objects` and `connected.of_induct`.
- A nonempty category for which every object is related under the reflexive
transitive closure of the relation "there is a morphism in some direction
from `j₁` to `j₂`".
See `connected_zigzag` and `zigzag_connected`.
- A nonempty category for which for any two objects there is a sequence of
morphisms (some reversed) from one to the other.
See `exists_zigzag'` and `connected_of_zigzag`.
We also prove the result that the functor given by `(X × -)` preserves any
connected limit. That is, any limit of shape `J` where `J` is a connected
category is preserved by the functor `(X × -)`. This appears in `category_theory.limits.connected`.
-/
universes v₁ v₂ u₁ u₂
noncomputable theory
open category_theory.category
namespace category_theory
/--
A possibly empty category for which every functor to a discrete category is constant.
-/
class is_preconnected (J : Type u₁) [category.{v₁} J] : Prop :=
(iso_constant : Π {α : Type u₁} (F : J ⥤ discrete α) (j : J),
nonempty (F ≅ (functor.const J).obj (F.obj j)))
/--
We define a connected category as a _nonempty_ category for which every
functor to a discrete category is constant.
NB. Some authors include the empty category as connected, we do not.
We instead are interested in categories with exactly one 'connected
component'.
This allows us to show that the functor X ⨯ - preserves connected limits.
See https://stacks.math.columbia.edu/tag/002S
-/
class is_connected (J : Type u₁) [category.{v₁} J] extends is_preconnected J : Prop :=
[is_nonempty : nonempty J]
attribute [instance, priority 100] is_connected.is_nonempty
variables {J : Type u₁} [category.{v₁} J]
variables {K : Type u₂} [category.{v₂} K]
/--
If `J` is connected, any functor `F : J ⥤ discrete α` is isomorphic to
the constant functor with value `F.obj j` (for any choice of `j`).
-/
def iso_constant [is_preconnected J] {α : Type u₁} (F : J ⥤ discrete α) (j : J) :
F ≅ (functor.const J).obj (F.obj j) :=
(is_preconnected.iso_constant F j).some
/--
If J is connected, any functor to a discrete category is constant on objects.
The converse is given in `is_connected.of_any_functor_const_on_obj`.
-/
lemma any_functor_const_on_obj [is_preconnected J]
{α : Type u₁} (F : J ⥤ discrete α) (j j' : J) :
F.obj j = F.obj j' :=
((iso_constant F j').hom.app j).down.1
/--
If any functor to a discrete category is constant on objects, J is connected.
The converse of `any_functor_const_on_obj`.
-/
lemma is_connected.of_any_functor_const_on_obj [nonempty J]
(h : ∀ {α : Type u₁} (F : J ⥤ discrete α), ∀ (j j' : J), F.obj j = F.obj j') :
is_connected J :=
{ iso_constant := λ α F j',
⟨nat_iso.of_components (λ j, eq_to_iso (h F j j')) (λ _ _ _, subsingleton.elim _ _)⟩ }
/--
If `J` is connected, then given any function `F` such that the presence of a
morphism `j₁ ⟶ j₂` implies `F j₁ = F j₂`, we have that `F` is constant.
This can be thought of as a local-to-global property.
The converse is shown in `is_connected.of_constant_of_preserves_morphisms`
-/
lemma constant_of_preserves_morphisms [is_preconnected J] {α : Type u₁} (F : J → α)
(h : ∀ (j₁ j₂ : J) (f : j₁ ⟶ j₂), F j₁ = F j₂) (j j' : J) :
F j = F j' :=
any_functor_const_on_obj { obj := F, map := λ _ _ f, eq_to_hom (h _ _ f) } j j'
/--
`J` is connected if: given any function `F : J → α` which is constant for any
`j₁, j₂` for which there is a morphism `j₁ ⟶ j₂`, then `F` is constant.
This can be thought of as a local-to-global property.
The converse of `constant_of_preserves_morphisms`.
-/
lemma is_connected.of_constant_of_preserves_morphisms [nonempty J]
(h : ∀ {α : Type u₁} (F : J → α), (∀ {j₁ j₂ : J} (f : j₁ ⟶ j₂), F j₁ = F j₂) →
(∀ j j' : J, F j = F j')) :
is_connected J :=
is_connected.of_any_functor_const_on_obj (λ _ F, h F.obj (λ _ _ f, (F.map f).down.1))
/--
An inductive-like property for the objects of a connected category.
If the set `p` is nonempty, and `p` is closed under morphisms of `J`,
then `p` contains all of `J`.
The converse is given in `is_connected.of_induct`.
-/
lemma induct_on_objects [is_preconnected J] (p : set J) {j₀ : J} (h0 : j₀ ∈ p)
(h1 : ∀ {j₁ j₂ : J} (f : j₁ ⟶ j₂), j₁ ∈ p ↔ j₂ ∈ p) (j : J) :
j ∈ p :=
begin
injection (constant_of_preserves_morphisms (λ k, ulift.up (k ∈ p)) (λ j₁ j₂ f, _) j j₀) with i,
rwa i,
dsimp,
exact congr_arg ulift.up (propext (h1 f)),
end
/--
If any maximal connected component containing some element j₀ of J is all of J, then J is connected.
The converse of `induct_on_objects`.
-/
lemma is_connected.of_induct [nonempty J] {j₀ : J}
(h : ∀ (p : set J), j₀ ∈ p → (∀ {j₁ j₂ : J} (f : j₁ ⟶ j₂), j₁ ∈ p ↔ j₂ ∈ p) → ∀ (j : J), j ∈ p) :
is_connected J :=
is_connected.of_constant_of_preserves_morphisms (λ α F a,
begin
have w := h {j | F j = F j₀} rfl (λ _ _ f, by simp [a f]),
dsimp at w,
intros j j',
rw [w j, w j'],
end)
/--
Another induction principle for `is_preconnected J`:
given a type family `Z : J → Sort*` and
a rule for transporting in *both* directions along a morphism in `J`,
we can transport an `x : Z j₀` to a point in `Z j` for any `j`.
-/
lemma is_preconnected_induction [is_preconnected J] (Z : J → Sort*)
(h₁ : Π {j₁ j₂ : J} (f : j₁ ⟶ j₂), Z j₁ → Z j₂)
(h₂ : Π {j₁ j₂ : J} (f : j₁ ⟶ j₂), Z j₂ → Z j₁)
{j₀ : J} (x : Z j₀) (j : J) : nonempty (Z j) :=
(induct_on_objects {j | nonempty (Z j)} ⟨x⟩
(λ j₁ j₂ f, ⟨by { rintro ⟨y⟩, exact ⟨h₁ f y⟩, }, by { rintro ⟨y⟩, exact ⟨h₂ f y⟩, }⟩) j : _)
/-- If `J` and `K` are equivalent, then if `J` is preconnected then `K` is as well. -/
lemma is_preconnected_of_equivalent {K : Type u₁} [category.{v₂} K] [is_preconnected J]
(e : J ≌ K) :
is_preconnected K :=
{ iso_constant := λ α F k, ⟨
calc F ≅ e.inverse ⋙ e.functor ⋙ F : (e.inv_fun_id_assoc F).symm
... ≅ e.inverse ⋙ (functor.const J).obj ((e.functor ⋙ F).obj (e.inverse.obj k)) :
iso_whisker_left e.inverse (iso_constant (e.functor ⋙ F) (e.inverse.obj k))
... ≅ e.inverse ⋙ (functor.const J).obj (F.obj k) :
iso_whisker_left _ ((F ⋙ functor.const J).map_iso (e.counit_iso.app k))
... ≅ (functor.const K).obj (F.obj k) : nat_iso.of_components (λ X, iso.refl _) (by simp),
⟩ }
/-- If `J` and `K` are equivalent, then if `J` is connected then `K` is as well. -/
lemma is_connected_of_equivalent {K : Type u₁} [category.{v₂} K]
(e : J ≌ K) [is_connected J] :
is_connected K :=
{ is_nonempty := nonempty.map e.functor.obj (by apply_instance),
to_is_preconnected := is_preconnected_of_equivalent e }
/-- j₁ and j₂ are related by `zag` if there is a morphism between them. -/
@[reducible]
def zag (j₁ j₂ : J) : Prop := nonempty (j₁ ⟶ j₂) ∨ nonempty (j₂ ⟶ j₁)
lemma zag_symmetric : symmetric (@zag J _) :=
λ j₂ j₁ h, h.swap
/--
`j₁` and `j₂` are related by `zigzag` if there is a chain of
morphisms from `j₁` to `j₂`, with backward morphisms allowed.
-/
@[reducible]
def zigzag : J → J → Prop := relation.refl_trans_gen zag
lemma zigzag_symmetric : symmetric (@zigzag J _) :=
relation.refl_trans_gen.symmetric zag_symmetric
lemma zigzag_equivalence : _root_.equivalence (@zigzag J _) :=
mk_equivalence _
relation.reflexive_refl_trans_gen
zigzag_symmetric
relation.transitive_refl_trans_gen
/--
The setoid given by the equivalence relation `zigzag`. A quotient for this
setoid is a connected component of the category.
-/
def zigzag.setoid (J : Type u₂) [category.{v₁} J] : setoid J :=
{ r := zigzag,
iseqv := zigzag_equivalence }
/--
If there is a zigzag from `j₁` to `j₂`, then there is a zigzag from `F j₁` to
`F j₂` as long as `F` is a functor.
-/
lemma zigzag_obj_of_zigzag (F : J ⥤ K) {j₁ j₂ : J} (h : zigzag j₁ j₂) :
zigzag (F.obj j₁) (F.obj j₂) :=
begin
refine relation.refl_trans_gen_lift _ _ h,
intros j k,
exact or.imp (nonempty.map (λ f, F.map f)) (nonempty.map (λ f, F.map f))
end
-- TODO: figure out the right way to generalise this to `zigzag`.
lemma zag_of_zag_obj (F : J ⥤ K) [full F] {j₁ j₂ : J} (h : zag (F.obj j₁) (F.obj j₂)) :
zag j₁ j₂ :=
or.imp (nonempty.map F.preimage) (nonempty.map F.preimage) h
/-- Any equivalence relation containing (⟶) holds for all pairs of a connected category. -/
lemma equiv_relation [is_connected J] (r : J → J → Prop) (hr : _root_.equivalence r)
(h : ∀ {j₁ j₂ : J} (f : j₁ ⟶ j₂), r j₁ j₂) :
∀ (j₁ j₂ : J), r j₁ j₂ :=
begin
have z : ∀ (j : J), r (classical.arbitrary J) j :=
induct_on_objects (λ k, r (classical.arbitrary J) k)
(hr.1 (classical.arbitrary J)) (λ _ _ f, ⟨λ t, hr.2.2 t (h f), λ t, hr.2.2 t (hr.2.1 (h f))⟩),
intros, apply hr.2.2 (hr.2.1 (z _)) (z _)
end
/-- In a connected category, any two objects are related by `zigzag`. -/
lemma is_connected_zigzag [is_connected J] (j₁ j₂ : J) : zigzag j₁ j₂ :=
equiv_relation _ zigzag_equivalence
(λ _ _ f, relation.refl_trans_gen.single (or.inl (nonempty.intro f))) _ _
/--
If any two objects in an nonempty category are related by `zigzag`, the category is connected.
-/
lemma zigzag_is_connected [nonempty J] (h : ∀ (j₁ j₂ : J), zigzag j₁ j₂) : is_connected J :=
begin
apply is_connected.of_induct,
intros p hp hjp j,
have: ∀ (j₁ j₂ : J), zigzag j₁ j₂ → (j₁ ∈ p ↔ j₂ ∈ p),
{ introv k,
induction k with _ _ rt_zag zag,
{ refl },
{ rw k_ih,
rcases zag with ⟨⟨_⟩⟩ | ⟨⟨_⟩⟩,
apply hjp zag,
apply (hjp zag).symm } },
rwa this j (classical.arbitrary J) (h _ _)
end
lemma exists_zigzag' [is_connected J] (j₁ j₂ : J) :
∃ l, list.chain zag j₁ l ∧ list.last (j₁ :: l) (list.cons_ne_nil _ _) = j₂ :=
list.exists_chain_of_relation_refl_trans_gen (is_connected_zigzag _ _)
/--
If any two objects in an nonempty category are linked by a sequence of (potentially reversed)
morphisms, then J is connected.
The converse of `exists_zigzag'`.
-/
lemma is_connected_of_zigzag [nonempty J]
(h : ∀ (j₁ j₂ : J), ∃ l, list.chain zag j₁ l ∧ list.last (j₁ :: l) (list.cons_ne_nil _ _) = j₂) :
is_connected J :=
begin
apply zigzag_is_connected,
intros j₁ j₂,
rcases h j₁ j₂ with ⟨l, hl₁, hl₂⟩,
apply list.relation_refl_trans_gen_of_exists_chain l hl₁ hl₂,
end
/-- If `discrete α` is connected, then `α` is (type-)equivalent to `punit`. -/
def discrete_is_connected_equiv_punit {α : Type*} [is_connected (discrete α)] : α ≃ punit :=
discrete.equiv_of_equivalence
{ functor := functor.star α,
inverse := discrete.functor (λ _, classical.arbitrary _),
unit_iso := by { exact (iso_constant _ (classical.arbitrary _)), },
counit_iso := functor.punit_ext _ _ }
variables {C : Type u₂} [category.{u₁} C]
/--
For objects `X Y : C`, any natural transformation `α : const X ⟶ const Y` from a connected
category must be constant.
This is the key property of connected categories which we use to establish properties about limits.
-/
lemma nat_trans_from_is_connected [is_preconnected J] {X Y : C}
(α : (functor.const J).obj X ⟶ (functor.const J).obj Y) :
∀ (j j' : J), α.app j = (α.app j' : X ⟶ Y) :=
@constant_of_preserves_morphisms _ _ _
(X ⟶ Y)
(λ j, α.app j)
(λ _ _ f, (by { have := α.naturality f, erw [id_comp, comp_id] at this, exact this.symm }))
end category_theory
|
47526e14cd1ee7ed74dc13a97e7d2929c30f969b | 4727251e0cd73359b15b664c3170e5d754078599 | /src/category_theory/balanced.lean | c1277508f7cef5ff1bad8ba3054001235a03dc13 | [
"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 | 1,440 | lean | /-
Copyright (c) 2022 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel
-/
import category_theory.epi_mono
/-!
# Balanced categories
A category is called balanced if any morphism that is both monic and epic is an isomorphism.
Balanced categories arise frequently. For example, categories in which every monomorphism
(or epimorphism) is strong are balanced. Examples of this are abelian categories and toposes, such
as the category of types.
-/
universes v u
namespace category_theory
variables {C : Type u} [category.{v} C]
section
variables (C)
/-- A category is called balanced if any morphism that is both monic and epic is an isomorphism. -/
class balanced : Prop :=
(is_iso_of_mono_of_epi : ∀ {X Y : C} (f : X ⟶ Y) [mono f] [epi f], is_iso f)
end
lemma is_iso_of_mono_of_epi [balanced C] {X Y : C} (f : X ⟶ Y) [mono f] [epi f] : is_iso f :=
balanced.is_iso_of_mono_of_epi _
lemma is_iso_iff_mono_and_epi [balanced C] {X Y : C} (f : X ⟶ Y) : is_iso f ↔ mono f ∧ epi f :=
⟨λ _, by exactI ⟨infer_instance, infer_instance⟩, λ ⟨_, _⟩, by exactI is_iso_of_mono_of_epi _⟩
section
local attribute [instance] is_iso_of_mono_of_epi
lemma balanced_opposite [balanced C] : balanced Cᵒᵖ :=
{ is_iso_of_mono_of_epi := λ X Y f fmono fepi,
by { rw ← quiver.hom.op_unop f, exactI is_iso_of_op _ } }
end
end category_theory
|
bbeb15377692290d87a13c23c9bb6068be86e95f | f68c8823d8ddc719de8a4513815174aa7408ac4a | /lean_resolutions/PUZ031_1.lean | 416b063c960ed296aaeed1839b85943875819c4a | [] | no_license | FredsoNerd/tptp-lean-puzzles | e7ea66a0de9aa3cb7cc7480299f01adf885440a6 | 43d4d77524e797a4ac7a62b2cfaf8df08b409815 | refs/heads/master | 1,606,359,611,765 | 1,576,824,274,000 | 1,576,824,274,000 | 228,945,807 | 4 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 3,645 | lean | --------------------------------------------------------------------------------
-- File : PUZ031_1 : TPTP v7.3.0. Released v5.0.0.
-- Domain : Puzzles
-- Problem : Schubert's Steamroller
-- Version : Especial.
-- English : Wolves, foxes, birds, caterpillars, and snails are animals, and
-- there are some of each of them. Also there are some grains, and
-- grains are plants. Every animal either likes to eat all plants
-- or all animals much smaller than itself that like to eat some
-- plants. Caterpillars and snails are much smaller than birds,
-- which are much smaller than foxes, which in turn are much
-- smaller than wolves. Wolves do not like to eat foxes or grains,
-- while birds like to eat caterpillars but not snails.
-- Caterpillars and snails like to eat some plants. Therefore
-- there is an animal that likes to eat a grain eating animal.
-- Source : [TPTP]
--------------------------------------------------------------------------------
variable animal: Type
variable wolf: Type
variable wolf_to_animal: wolf → animal
variable fox: Type
variable fox_to_animal: fox → animal
variable bird: Type
variable bird_to_animal: bird → animal
variable caterpillar: Type
variable caterpillar_to_animal: caterpillar → animal
variable snail: Type
variable snail_to_animal: snail → animal
variable plant: Type
variable grain: Type
variable grain_to_plant: grain → plant
variable edible: Type
variable animal_to_edible: animal → edible
variable plant_to_edible: plant → edible
variable eats: animal × edible → Prop
variable much_smaller: animal × animal → Prop
-- existence
variable existence : ∀ A : Type, A
-- axioms
variable pel47_7:
∀ (X: animal),
(∀ (Y: plant), eats(X,plant_to_edible(Y)))
∨
(∃ Y1: animal,
(much_smaller(Y1,X) ∧ ∃ Z: plant, eats(Y1,plant_to_edible(Z)))
→ eats(X,animal_to_edible(Y1)))
variable pel47_8:
∀ (X: snail) (Y: bird),
much_smaller(snail_to_animal(X),bird_to_animal(Y))
variable pel47_8a:
∀ (X: caterpillar) (Y: bird),
much_smaller(caterpillar_to_animal(X),bird_to_animal(Y))
variable pel47_9:
∀ (X: bird) (Y: fox),
much_smaller(bird_to_animal(X),fox_to_animal(Y))
variable pel47_10:
∀ (X: fox) (Y: wolf),
much_smaller(fox_to_animal(X),wolf_to_animal(Y))
variable pel47_11:
∀ (X: wolf) (Y: fox),
¬ eats(wolf_to_animal(X),animal_to_edible(fox_to_animal(Y)))
variable pel47_11a:
∀ (X: wolf) (Y: grain),
¬ eats(wolf_to_animal(X),plant_to_edible(grain_to_plant(Y)))
variable pel47_12:
∀ (X: bird) (Y: caterpillar),
eats(bird_to_animal(X),animal_to_edible(caterpillar_to_animal(Y)))
variable pel47_13:
∀ (X: bird) (Y: snail),
¬ eats(bird_to_animal(X),animal_to_edible(snail_to_animal(Y)))
variable pel47_14:
∀ (X: caterpillar),
∃ (Y: plant), eats(caterpillar_to_animal(X),plant_to_edible(Y))
variable pel47_14a:
∀ (X: snail),
∃ (Y: plant), eats(snail_to_animal(X),plant_to_edible(Y))
-- conjecture : pel47
include existence
include pel47_7 pel47_11a
include wolf wolf_to_animal caterpillar
include grain grain_to_plant
theorem pel47:
∃ (X: animal) (Y: animal) (Z: grain),
(eats(Y,plant_to_edible(grain_to_plant(Z))) ∧ eats(X,animal_to_edible(Y))) :=
begin
have ex_wolf : wolf, from existence _,
cases pel47_7 (wolf_to_animal ex_wolf),
have ex_grain : grain, from existence _,
have wolf_eats_grain, from h (grain_to_plant ex_grain),
have not_wolf_eats_grain, from (pel47_11a ex_wolf ex_grain),
contradiction,
exact sorry
end
|
7170f3f66f8a5ce62de598abe2eba78582a89e12 | fecda8e6b848337561d6467a1e30cf23176d6ad0 | /src/ring_theory/noetherian.lean | 7acf7aa2a911f373500719bb2d16c176028fa73e | [
"Apache-2.0"
] | permissive | spolu/mathlib | bacf18c3d2a561d00ecdc9413187729dd1f705ed | 480c92cdfe1cf3c2d083abded87e82162e8814f4 | refs/heads/master | 1,671,684,094,325 | 1,600,736,045,000 | 1,600,736,045,000 | 297,564,749 | 1 | 0 | null | 1,600,758,368,000 | 1,600,758,367,000 | null | UTF-8 | Lean | false | false | 21,133 | lean | /-
Copyright (c) 2018 Mario Carneiro and Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Kevin Buzzard
-/
import ring_theory.ideal.operations
import linear_algebra.basis
import order.order_iso_nat
/-!
# Noetherian rings and modules
The following are equivalent for a module M over a ring R:
1. Every increasing chain of submodule M₁ ⊆ M₂ ⊆ M₃ ⊆ ⋯ eventually stabilises.
2. Every submodule is finitely generated.
A module satisfying these equivalent conditions is said to be a *Noetherian* R-module.
A ring is a *Noetherian ring* if it is Noetherian as a module over itself.
## Main definitions
Let `R` be a ring and let `M` and `P` be `R`-modules. Let `N` be an `R`-submodule of `M`.
* `fg N : Prop` is the assertion that `N` is finitely generated as an `R`-module.
* `is_noetherian R M` is the proposition that `M` is a Noetherian `R`-module. It is a class,
implemented as the predicate that all `R`-submodules of `M` are finitely generated.
## Main statements
* `exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul` is Nakayama's lemma, in the following form:
if N is a finitely generated submodule of an ambient R-module M and I is an ideal of R
such that N ⊆ IN, then there exists r ∈ 1 + I such that rN = 0.
* `is_noetherian_iff_well_founded` is the theorem that an R-module M is Noetherian iff
`>` is well-founded on `submodule R M`.
Note that the Hilbert basis theorem, that if a commutative ring R is Noetherian then so is R[X],
is proved in `ring_theory.polynomial`.
## References
* [M. F. Atiyah and I. G. Macdonald, *Introduction to commutative algebra*][atiyah-macdonald]
## Tags
Noetherian, noetherian, Noetherian ring, Noetherian module, noetherian ring, noetherian module
-/
open set
open_locale big_operators
namespace submodule
variables {R : Type*} {M : Type*} [ring R] [add_comm_group M] [module R M]
/-- A submodule of `M` is finitely generated if it is the span of a finite subset of `M`. -/
def fg (N : submodule R M) : Prop := ∃ S : finset M, submodule.span R ↑S = N
theorem fg_def {N : submodule R M} :
N.fg ↔ ∃ S : set M, finite S ∧ span R S = N :=
⟨λ ⟨t, h⟩, ⟨_, finset.finite_to_set t, h⟩, begin
rintro ⟨t', h, rfl⟩,
rcases finite.exists_finset_coe h with ⟨t, rfl⟩,
exact ⟨t, rfl⟩
end⟩
/-- Nakayama's Lemma. Atiyah-Macdonald 2.5, Eisenbud 4.7, Matsumura 2.2, Stacks 00DV -/
theorem exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul {R : Type*} [comm_ring R]
{M : Type*} [add_comm_group M] [module R M]
(I : ideal R) (N : submodule R M) (hn : N.fg) (hin : N ≤ I • N) :
∃ r : R, r - 1 ∈ I ∧ ∀ n ∈ N, r • n = (0 : M) :=
begin
rw fg_def at hn, rcases hn with ⟨s, hfs, hs⟩,
have : ∃ r : R, r - 1 ∈ I ∧ N ≤ (I • span R s).comap (linear_map.lsmul R M r) ∧ s ⊆ N,
{ refine ⟨1, _, _, _⟩,
{ rw sub_self, exact I.zero_mem },
{ rw [hs], intros n hn, rw [mem_comap], change (1:R) • n ∈ I • N, rw one_smul, exact hin hn },
{ rw [← span_le, hs], exact le_refl N } },
clear hin hs, revert this,
refine set.finite.dinduction_on hfs (λ H, _) (λ i s his hfs ih H, _),
{ rcases H with ⟨r, hr1, hrn, hs⟩, refine ⟨r, hr1, λ n hn, _⟩, specialize hrn hn,
rwa [mem_comap, span_empty, smul_bot, mem_bot] at hrn },
apply ih, rcases H with ⟨r, hr1, hrn, hs⟩,
rw [← set.singleton_union, span_union, smul_sup] at hrn,
rw [set.insert_subset] at hs,
have : ∃ c : R, c - 1 ∈ I ∧ c • i ∈ I • span R s,
{ specialize hrn hs.1, rw [mem_comap, mem_sup] at hrn,
rcases hrn with ⟨y, hy, z, hz, hyz⟩, change y + z = r • i at hyz,
rw mem_smul_span_singleton at hy, rcases hy with ⟨c, hci, rfl⟩,
use r-c, split,
{ rw [sub_right_comm], exact I.sub_mem hr1 hci },
{ rw [sub_smul, ← hyz, add_sub_cancel'], exact hz } },
rcases this with ⟨c, hc1, hci⟩, refine ⟨c * r, _, _, hs.2⟩,
{ rw [← ideal.quotient.eq, ring_hom.map_one] at hr1 hc1 ⊢,
rw [ring_hom.map_mul, hc1, hr1, mul_one] },
{ intros n hn, specialize hrn hn, rw [mem_comap, mem_sup] at hrn,
rcases hrn with ⟨y, hy, z, hz, hyz⟩, change y + z = r • n at hyz,
rw mem_smul_span_singleton at hy, rcases hy with ⟨d, hdi, rfl⟩,
change _ • _ ∈ I • span R s,
rw [mul_smul, ← hyz, smul_add, smul_smul, mul_comm, mul_smul],
exact add_mem _ (smul_mem _ _ hci) (smul_mem _ _ hz) }
end
theorem fg_bot : (⊥ : submodule R M).fg :=
⟨∅, by rw [finset.coe_empty, span_empty]⟩
theorem fg_sup {N₁ N₂ : submodule R M}
(hN₁ : N₁.fg) (hN₂ : N₂.fg) : (N₁ ⊔ N₂).fg :=
let ⟨t₁, ht₁⟩ := fg_def.1 hN₁, ⟨t₂, ht₂⟩ := fg_def.1 hN₂ in
fg_def.2 ⟨t₁ ∪ t₂, ht₁.1.union ht₂.1, by rw [span_union, ht₁.2, ht₂.2]⟩
variables {P : Type*} [add_comm_group P] [module R P]
variables {f : M →ₗ[R] P}
theorem fg_map {N : submodule R M} (hs : N.fg) : (N.map f).fg :=
let ⟨t, ht⟩ := fg_def.1 hs in fg_def.2 ⟨f '' t, ht.1.image _, by rw [span_image, ht.2]⟩
theorem fg_prod {sb : submodule R M} {sc : submodule R P}
(hsb : sb.fg) (hsc : sc.fg) : (sb.prod sc).fg :=
let ⟨tb, htb⟩ := fg_def.1 hsb, ⟨tc, htc⟩ := fg_def.1 hsc in
fg_def.2 ⟨linear_map.inl R M P '' tb ∪ linear_map.inr R M P '' tc,
(htb.1.image _).union (htc.1.image _),
by rw [linear_map.span_inl_union_inr, htb.2, htc.2]⟩
variable (f)
/-- If 0 → M' → M → M'' → 0 is exact and M' and M'' are
finitely generated then so is M. -/
theorem fg_of_fg_map_of_fg_inf_ker {s : submodule R M}
(hs1 : (s.map f).fg) (hs2 : (s ⊓ f.ker).fg) : s.fg :=
begin
haveI := classical.dec_eq R, haveI := classical.dec_eq M, haveI := classical.dec_eq P,
cases hs1 with t1 ht1, cases hs2 with t2 ht2,
have : ∀ y ∈ t1, ∃ x ∈ s, f x = y,
{ intros y hy,
have : y ∈ map f s, { rw ← ht1, exact subset_span hy },
rcases mem_map.1 this with ⟨x, hx1, hx2⟩,
exact ⟨x, hx1, hx2⟩ },
have : ∃ g : P → M, ∀ y ∈ t1, g y ∈ s ∧ f (g y) = y,
{ choose g hg1 hg2,
existsi λ y, if H : y ∈ t1 then g y H else 0,
intros y H, split,
{ simp only [dif_pos H], apply hg1 },
{ simp only [dif_pos H], apply hg2 } },
cases this with g hg, clear this,
existsi t1.image g ∪ t2,
rw [finset.coe_union, span_union, finset.coe_image],
apply le_antisymm,
{ refine sup_le (span_le.2 $ image_subset_iff.2 _) (span_le.2 _),
{ intros y hy, exact (hg y hy).1 },
{ intros x hx, have := subset_span hx,
rw ht2 at this,
exact this.1 } },
intros x hx,
have : f x ∈ map f s, { rw mem_map, exact ⟨x, hx, rfl⟩ },
rw [← ht1,← set.image_id ↑t1, finsupp.mem_span_iff_total] at this,
rcases this with ⟨l, hl1, hl2⟩,
refine mem_sup.2 ⟨(finsupp.total M M R id).to_fun ((finsupp.lmap_domain R R g : (P →₀ R) → M →₀ R) l), _,
x - finsupp.total M M R id ((finsupp.lmap_domain R R g : (P →₀ R) → M →₀ R) l),
_, add_sub_cancel'_right _ _⟩,
{ rw [← set.image_id (g '' ↑t1), finsupp.mem_span_iff_total], refine ⟨_, _, rfl⟩,
haveI : inhabited P := ⟨0⟩,
rw [← finsupp.lmap_domain_supported _ _ g, mem_map],
refine ⟨l, hl1, _⟩,
refl, },
rw [ht2, mem_inf], split,
{ apply s.sub_mem hx,
rw [finsupp.total_apply, finsupp.lmap_domain_apply, finsupp.sum_map_domain_index],
refine s.sum_mem _,
{ intros y hy, exact s.smul_mem _ (hg y (hl1 hy)).1 },
{ exact zero_smul _ }, { exact λ _ _ _, add_smul _ _ _ } },
{ rw [linear_map.mem_ker, f.map_sub, ← hl2],
rw [finsupp.total_apply, finsupp.total_apply, finsupp.lmap_domain_apply],
rw [finsupp.sum_map_domain_index, finsupp.sum, finsupp.sum, f.map_sum],
rw sub_eq_zero,
refine finset.sum_congr rfl (λ y hy, _),
unfold id,
rw [f.map_smul, (hg y (hl1 hy)).2],
{ exact zero_smul _ }, { exact λ _ _ _, add_smul _ _ _ } }
end
end submodule
/--
`is_noetherian R M` is the proposition that `M` is a Noetherian `R`-module,
implemented as the predicate that all `R`-submodules of `M` are finitely generated.
-/
class is_noetherian (R M) [ring R] [add_comm_group M] [module R M] : Prop :=
(noetherian : ∀ (s : submodule R M), s.fg)
section
variables {R : Type*} {M : Type*} {P : Type*}
variables [ring R] [add_comm_group M] [add_comm_group P]
variables [module R M] [module R P]
open is_noetherian
include R
theorem is_noetherian_submodule {N : submodule R M} :
is_noetherian R N ↔ ∀ s : submodule R M, s ≤ N → s.fg :=
⟨λ ⟨hn⟩, λ s hs, have s ≤ N.subtype.range, from (N.range_subtype).symm ▸ hs,
linear_map.map_comap_eq_self this ▸ submodule.fg_map (hn _),
λ h, ⟨λ s, submodule.fg_of_fg_map_of_fg_inf_ker N.subtype (h _ $ submodule.map_subtype_le _ _) $
by rw [submodule.ker_subtype, inf_bot_eq]; exact submodule.fg_bot⟩⟩
theorem is_noetherian_submodule_left {N : submodule R M} :
is_noetherian R N ↔ ∀ s : submodule R M, (N ⊓ s).fg :=
is_noetherian_submodule.trans
⟨λ H s, H _ inf_le_left, λ H s hs, (inf_of_le_right hs) ▸ H _⟩
theorem is_noetherian_submodule_right {N : submodule R M} :
is_noetherian R N ↔ ∀ s : submodule R M, (s ⊓ N).fg :=
is_noetherian_submodule.trans
⟨λ H s, H _ inf_le_right, λ H s hs, (inf_of_le_left hs) ▸ H _⟩
variable (M)
theorem is_noetherian_of_surjective (f : M →ₗ[R] P) (hf : f.range = ⊤)
[is_noetherian R M] : is_noetherian R P :=
⟨λ s, have (s.comap f).map f = s, from linear_map.map_comap_eq_self $ hf.symm ▸ le_top,
this ▸ submodule.fg_map $ noetherian _⟩
variable {M}
theorem is_noetherian_of_linear_equiv (f : M ≃ₗ[R] P)
[is_noetherian R M] : is_noetherian R P :=
is_noetherian_of_surjective _ f.to_linear_map f.range
instance is_noetherian_prod [is_noetherian R M]
[is_noetherian R P] : is_noetherian R (M × P) :=
⟨λ s, submodule.fg_of_fg_map_of_fg_inf_ker (linear_map.snd R M P) (noetherian _) $
have s ⊓ linear_map.ker (linear_map.snd R M P) ≤ linear_map.range (linear_map.inl R M P),
from λ x ⟨hx1, hx2⟩, ⟨x.1, trivial, prod.ext rfl $ eq.symm $ linear_map.mem_ker.1 hx2⟩,
linear_map.map_comap_eq_self this ▸ submodule.fg_map (noetherian _)⟩
instance is_noetherian_pi {R ι : Type*} {M : ι → Type*} [ring R]
[Π i, add_comm_group (M i)] [Π i, module R (M i)] [fintype ι]
[∀ i, is_noetherian R (M i)] : is_noetherian R (Π i, M i) :=
begin
haveI := classical.dec_eq ι,
suffices : ∀ s : finset ι, is_noetherian R (Π i : (↑s : set ι), M i),
{ letI := this finset.univ,
refine @is_noetherian_of_linear_equiv _ _ _ _ _ _ _ _
⟨_, _, _, _, _, _⟩ (this finset.univ),
{ exact λ f i, f ⟨i, finset.mem_univ _⟩ },
{ intros, ext, refl },
{ intros, ext, refl },
{ exact λ f i, f i.1 },
{ intro, ext ⟨⟩, refl },
{ intro, ext i, refl } },
intro s,
induction s using finset.induction with a s has ih,
{ split, intro s, convert submodule.fg_bot, apply eq_bot_iff.2,
intros x hx, refine (submodule.mem_bot R).2 _, ext i, cases i.2 },
refine @is_noetherian_of_linear_equiv _ _ _ _ _ _ _ _
⟨_, _, _, _, _, _⟩ (@is_noetherian_prod _ (M a) _ _ _ _ _ _ _ ih),
{ exact λ f i, or.by_cases (finset.mem_insert.1 i.2)
(λ h : i.1 = a, show M i.1, from (eq.rec_on h.symm f.1))
(λ h : i.1 ∈ s, show M i.1, from f.2 ⟨i.1, h⟩) },
{ intros f g, ext i, unfold or.by_cases, cases i with i hi,
rcases finset.mem_insert.1 hi with rfl | h,
{ change _ = _ + _, simp only [dif_pos], refl },
{ change _ = _ + _, have : ¬i = a, { rintro rfl, exact has h },
simp only [dif_neg this, dif_pos h], refl } },
{ intros c f, ext i, unfold or.by_cases, cases i with i hi,
rcases finset.mem_insert.1 hi with rfl | h,
{ change _ = c • _, simp only [dif_pos], refl },
{ change _ = c • _, have : ¬i = a, { rintro rfl, exact has h },
simp only [dif_neg this, dif_pos h], refl } },
{ exact λ f, (f ⟨a, finset.mem_insert_self _ _⟩, λ i, f ⟨i.1, finset.mem_insert_of_mem i.2⟩) },
{ intro f, apply prod.ext,
{ simp only [or.by_cases, dif_pos] },
{ ext ⟨i, his⟩,
have : ¬i = a, { rintro rfl, exact has his },
dsimp only [or.by_cases], change i ∈ s at his,
rw [dif_neg this, dif_pos his] } },
{ intro f, ext ⟨i, hi⟩,
rcases finset.mem_insert.1 hi with rfl | h,
{ simp only [or.by_cases, dif_pos], refl },
{ have : ¬i = a, { rintro rfl, exact has h },
simp only [or.by_cases, dif_neg this, dif_pos h], refl } }
end
end
open is_noetherian submodule function
theorem is_noetherian_iff_well_founded
{R M} [ring R] [add_comm_group M] [module R M] :
is_noetherian R M ↔ well_founded ((>) : submodule R M → submodule R M → Prop) :=
⟨λ h, begin
apply rel_embedding.well_founded_iff_no_descending_seq.2,
swap, { apply is_strict_order.swap },
rintro ⟨⟨N, hN⟩⟩,
let Q := ⨆ n, N n,
resetI,
rcases submodule.fg_def.1 (noetherian Q) with ⟨t, h₁, h₂⟩,
have hN' : ∀ {a b}, a ≤ b → N a ≤ N b :=
λ a b, (strict_mono.le_iff_le (λ _ _, hN.1)).2,
have : t ⊆ ⋃ i, (N i : set M),
{ rw [← submodule.coe_supr_of_directed N _],
{ show t ⊆ Q, rw ← h₂,
apply submodule.subset_span },
{ exact λ i j, ⟨max i j,
hN' (le_max_left _ _),
hN' (le_max_right _ _)⟩ } },
simp [subset_def] at this,
choose f hf using show ∀ x : t, ∃ (i : ℕ), x.1 ∈ N i, { simpa },
cases h₁ with h₁,
let A := finset.sup (@finset.univ t h₁) f,
have : Q ≤ N A,
{ rw ← h₂, apply submodule.span_le.2,
exact λ x h, hN' (finset.le_sup (@finset.mem_univ t h₁ _))
(hf ⟨x, h⟩) },
exact not_le_of_lt (hN.1 (nat.lt_succ_self A))
(le_trans (le_supr _ _) this)
end,
begin
assume h, split, assume N,
suffices : ∀ P ≤ N, ∃ s, finite s ∧ P ⊔ submodule.span R s = N,
{ rcases this ⊥ bot_le with ⟨s, hs, e⟩,
exact submodule.fg_def.2 ⟨s, hs, by simpa using e⟩ },
refine λ P, h.induction P _, intros P IH PN,
letI := classical.dec,
by_cases h : ∀ x, x ∈ N → x ∈ P,
{ cases le_antisymm PN h, exact ⟨∅, by simp⟩ },
{ simp [not_forall] at h,
rcases h with ⟨x, h, h₂⟩,
have : ¬P ⊔ submodule.span R {x} ≤ P,
{ intro hn, apply h₂,
have := le_trans le_sup_right hn,
exact submodule.span_le.1 this (mem_singleton x) },
rcases IH (P ⊔ submodule.span R {x})
⟨@le_sup_left _ _ P _, this⟩
(sup_le PN (submodule.span_le.2 (by simpa))) with ⟨s, hs, hs₂⟩,
refine ⟨insert x s, hs.insert x, _⟩,
rw [← hs₂, sup_assoc, ← submodule.span_union], simp }
end⟩
lemma well_founded_submodule_gt (R M) [ring R] [add_comm_group M] [module R M] :
∀ [is_noetherian R M], well_founded ((>) : submodule R M → submodule R M → Prop) :=
is_noetherian_iff_well_founded.mp
lemma finite_of_linear_independent {R M} [comm_ring R] [nontrivial R] [add_comm_group M] [module R M]
[is_noetherian R M] {s : set M} (hs : linear_independent R (coe : s → M)) : s.finite :=
begin
refine classical.by_contradiction (λ hf, rel_embedding.well_founded_iff_no_descending_seq.1
(well_founded_submodule_gt R M) ⟨_⟩),
have f : ℕ ↪ s, from @infinite.nat_embedding s ⟨λ f, hf ⟨f⟩⟩,
have : ∀ n, (coe ∘ f) '' {m | m ≤ n} ⊆ s,
{ rintros n x ⟨y, hy₁, hy₂⟩, subst hy₂, exact (f y).2 },
have : ∀ a b : ℕ, a ≤ b ↔
span R ((coe ∘ f) '' {m | m ≤ a}) ≤ span R ((coe ∘ f) '' {m | m ≤ b}),
{ assume a b,
rw [span_le_span_iff hs (this a) (this b),
set.image_subset_image_iff (subtype.coe_injective.comp f.injective),
set.subset_def],
exact ⟨λ hab x (hxa : x ≤ a), le_trans hxa hab, λ hx, hx a (le_refl a)⟩ },
exact ⟨⟨λ n, span R ((coe ∘ f) '' {m | m ≤ n}),
λ x y, by simp [le_antisymm_iff, (this _ _).symm] {contextual := tt}⟩,
by dsimp [gt]; simp only [lt_iff_le_not_le, (this _ _).symm]; tauto⟩
end
/-- A module is Noetherian iff every nonempty set of submodules has a maximal submodule among them. -/
theorem set_has_maximal_iff_noetherian {R M} [ring R] [add_comm_group M] [module R M] :
(∀ a : set $ submodule R M, a.nonempty → ∃ M' ∈ a, ∀ I ∈ a, M' ≤ I → I = M') ↔ is_noetherian R M :=
by rw [is_noetherian_iff_well_founded, well_founded.well_founded_iff_has_max']
/--
A ring is Noetherian if it is Noetherian as a module over itself,
i.e. all its ideals are finitely generated.
-/
@[class] def is_noetherian_ring (R) [ring R] : Prop := is_noetherian R R
instance is_noetherian_ring.to_is_noetherian {R : Type*} [ring R] :
∀ [is_noetherian_ring R], is_noetherian R R := id
@[priority 80] -- see Note [lower instance priority]
instance ring.is_noetherian_of_fintype (R M) [fintype M] [ring R] [add_comm_group M] [module R M] :
is_noetherian R M :=
by letI := classical.dec; exact
⟨assume s, ⟨to_finset s, by rw [set.coe_to_finset, submodule.span_eq]⟩⟩
theorem ring.is_noetherian_of_zero_eq_one {R} [ring R] (h01 : (0 : R) = 1) : is_noetherian_ring R :=
by haveI := subsingleton_of_zero_eq_one h01;
haveI := fintype.of_subsingleton (0:R);
exact ring.is_noetherian_of_fintype _ _
theorem is_noetherian_of_submodule_of_noetherian (R M) [ring R] [add_comm_group M] [module R M]
(N : submodule R M) (h : is_noetherian R M) : is_noetherian R N :=
begin
rw is_noetherian_iff_well_founded at h ⊢,
exact order_embedding.well_founded (submodule.map_subtype.order_embedding N).dual h,
end
theorem is_noetherian_of_quotient_of_noetherian (R) [ring R] (M) [add_comm_group M] [module R M]
(N : submodule R M) (h : is_noetherian R M) : is_noetherian R N.quotient :=
begin
rw is_noetherian_iff_well_founded at h ⊢,
exact order_embedding.well_founded (submodule.comap_mkq.order_embedding N).dual h,
end
theorem is_noetherian_of_fg_of_noetherian {R M} [ring R] [add_comm_group M] [module R M]
(N : submodule R M) [is_noetherian_ring R] (hN : N.fg) : is_noetherian R N :=
let ⟨s, hs⟩ := hN in
begin
haveI := classical.dec_eq M,
haveI := classical.dec_eq R,
letI : is_noetherian R R := by apply_instance,
have : ∀ x ∈ s, x ∈ N, from λ x hx, hs ▸ submodule.subset_span hx,
refine @@is_noetherian_of_surjective ((↑s : set M) → R) _ _ _ (pi.semimodule _ _ _)
_ _ _ is_noetherian_pi,
{ fapply linear_map.mk,
{ exact λ f, ⟨∑ i in s.attach, f i • i.1, N.sum_mem (λ c _, N.smul_mem _ $ this _ c.2)⟩ },
{ intros f g, apply subtype.eq,
change ∑ i in s.attach, (f i + g i) • _ = _,
simp only [add_smul, finset.sum_add_distrib], refl },
{ intros c f, apply subtype.eq,
change ∑ i in s.attach, (c • f i) • _ = _,
simp only [smul_eq_mul, mul_smul],
exact finset.smul_sum.symm } },
rw linear_map.range_eq_top,
rintro ⟨n, hn⟩, change n ∈ N at hn,
rw [← hs, ← set.image_id ↑s, finsupp.mem_span_iff_total] at hn,
rcases hn with ⟨l, hl1, hl2⟩,
refine ⟨λ x, l x, subtype.ext _⟩,
change ∑ i in s.attach, l i • (i : M) = n,
rw [@finset.sum_attach M M s _ (λ i, l i • i), ← hl2,
finsupp.total_apply, finsupp.sum, eq_comm],
refine finset.sum_subset hl1 (λ x _ hx, _),
rw [finsupp.not_mem_support_iff.1 hx, zero_smul]
end
/-- In a module over a noetherian ring, the submodule generated by finitely many vectors is
noetherian. -/
theorem is_noetherian_span_of_finite (R) {M} [ring R] [add_comm_group M] [module R M]
[is_noetherian_ring R] {A : set M} (hA : finite A) : is_noetherian R (submodule.span R A) :=
is_noetherian_of_fg_of_noetherian _ (submodule.fg_def.mpr ⟨A, hA, rfl⟩)
theorem is_noetherian_ring_of_surjective (R) [comm_ring R] (S) [comm_ring S]
(f : R →+* S) (hf : function.surjective f)
[H : is_noetherian_ring R] : is_noetherian_ring S :=
begin
rw [is_noetherian_ring, is_noetherian_iff_well_founded] at H ⊢,
exact order_embedding.well_founded (ideal.order_embedding_of_surjective f hf).dual H,
end
instance is_noetherian_ring_range {R} [comm_ring R] {S} [comm_ring S] (f : R →+* S)
[is_noetherian_ring R] : is_noetherian_ring (set.range f) :=
is_noetherian_ring_of_surjective R (set.range f) (f.cod_restrict (set.range f) set.mem_range_self)
set.surjective_onto_range
theorem is_noetherian_ring_of_ring_equiv (R) [comm_ring R] {S} [comm_ring S]
(f : R ≃+* S) [is_noetherian_ring R] : is_noetherian_ring S :=
is_noetherian_ring_of_surjective R S f.to_ring_hom f.to_equiv.surjective
namespace submodule
variables {R : Type*} {A : Type*} [comm_ring R] [ring A] [algebra R A]
variables (M N : submodule R A)
theorem fg_mul (hm : M.fg) (hn : N.fg) : (M * N).fg :=
let ⟨m, hfm, hm⟩ := fg_def.1 hm, ⟨n, hfn, hn⟩ := fg_def.1 hn in
fg_def.2 ⟨m * n, hfm.mul hfn, span_mul_span R m n ▸ hm ▸ hn ▸ rfl⟩
lemma fg_pow (h : M.fg) (n : ℕ) : (M ^ n).fg :=
nat.rec_on n
(⟨{1}, by simp [one_eq_span]⟩)
(λ n ih, by simpa [pow_succ] using fg_mul _ _ h ih)
end submodule
|
ab7fd00d25688606c8722ec63c8349db4b035b8e | 2385ce0e3b60d8dbea33dd439902a2070cca7a24 | /library/init/algebra/classes.lean | e0276ec4a85f96e84e2986f2c77b9fa6c0f9ff76 | [
"Apache-2.0"
] | permissive | TehMillhouse/lean | 68d6fdd2fb11a6c65bc28dec308d70f04dad38b4 | 6bbf2fbd8912617e5a973575bab8c383c9c268a1 | refs/heads/master | 1,620,830,893,339 | 1,515,592,479,000 | 1,515,592,997,000 | 116,964,828 | 0 | 0 | null | 1,515,592,734,000 | 1,515,592,734,000 | null | UTF-8 | Lean | false | false | 11,694 | 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.logic init.data.ordering.basic
universes u
@[algebra] class is_commutative (α : Type u) (op : α → α → α) : Prop :=
(comm : ∀ a b, op a b = op b a)
@[algebra] class is_associative (α : Type u) (op : α → α → α) : Prop :=
(assoc : ∀ a b c, op (op a b) c = op a (op b c))
@[algebra] class is_left_id (α : Type u) (op : α → α → α) (o : out_param α) : Prop :=
(left_id : ∀ a, op o a = a)
@[algebra] class is_right_id (α : Type u) (op : α → α → α) (o : out_param α) : Prop :=
(right_id : ∀ a, op a o = a)
@[algebra] class is_left_null (α : Type u) (op : α → α → α) (o : out_param α) : Prop :=
(left_null : ∀ a, op o a = o)
@[algebra] class is_right_null (α : Type u) (op : α → α → α) (o : out_param α) : Prop :=
(right_null : ∀ a, op a o = o)
@[algebra] class is_left_cancel (α : Type u) (op : α → α → α) : Prop :=
(left_cancel : ∀ a b c, op a b = op a c → b = c)
@[algebra] class is_right_cancel (α : Type u) (op : α → α → α) : Prop :=
(right_cancel : ∀ a b c, op a b = op c b → a = c)
@[algebra] class is_idempotent (α : Type u) (op : α → α → α) : Prop :=
(idempotent : ∀ a, op a a = a)
@[algebra] class is_left_distrib (α : Type u) (op₁ : α → α → α) (op₂ : out_param $ α → α → α) : Prop :=
(left_distrib : ∀ a b c, op₁ a (op₂ b c) = op₂ (op₁ a b) (op₁ a c))
@[algebra] class is_right_distrib (α : Type u) (op₁ : α → α → α) (op₂ : out_param $ α → α → α) : Prop :=
(right_distrib : ∀ a b c, op₁ (op₂ a b) c = op₂ (op₁ a c) (op₁ b c))
@[algebra] class is_left_inv (α : Type u) (op : α → α → α) (inv : out_param α → α) (o : out_param $ α) : Prop :=
(left_inv : ∀ a, op (inv a) a = o)
@[algebra] class is_right_inv (α : Type u) (op : α → α → α) (inv : out_param $ α → α) (o : out_param $ α) : Prop :=
(right_inv : ∀ a, op a (inv a) = o)
@[algebra] class is_cond_left_inv (α : Type u) (op : α → α → α) (inv : out_param $ α → α) (o : out_param $ α) (p : out_param $ α → Prop) : Prop :=
(left_inv : ∀ a, p a → op (inv a) a = o)
@[algebra] class is_cond_right_inv (α : Type u) (op : α → α → α) (inv : out_param $ α → α) (o : out_param $ α) (p : out_param $ α → Prop) : Prop :=
(right_inv : ∀ a, p a → op a (inv a) = o)
@[algebra] class is_distinct (α : Type u) (a : α) (b : α) : Prop :=
(distinct : a ≠ b)
/-
-- The following type class doesn't seem very useful, a regular simp lemma should work for this.
class is_inv (α : Type u) (β : Type v) (f : α → β) (g : out β → α) : Prop :=
(inv : ∀ a, g (f a) = a)
-- The following one can also be handled using a regular simp lemma
class is_idempotent (α : Type u) (f : α → α) : Prop :=
(idempotent : ∀ a, f (f a) = f a)
-/
@[algebra] class is_irrefl (α : Type u) (r : α → α → Prop) : Prop :=
(irrefl : ∀ a, ¬ r a a)
@[algebra] class is_refl (α : Type u) (r : α → α → Prop) : Prop :=
(refl : ∀ a, r a a)
@[algebra] class is_symm (α : Type u) (r : α → α → Prop) : Prop :=
(symm : ∀ a b, r a b → r b a)
@[algebra] class is_asymm (α : Type u) (r : α → α → Prop) : Prop :=
(asymm : ∀ a b, r a b → ¬ r b a)
@[algebra] class is_antisymm (α : Type u) (r : α → α → Prop) : Prop :=
(antisymm : ∀ a b, r a b → r b a → a = b)
@[algebra] class is_trans (α : Type u) (r : α → α → Prop) : Prop :=
(trans : ∀ a b c, r a b → r b c → r a c)
@[algebra] class is_total (α : Type u) (r : α → α → Prop) : Prop :=
(total : ∀ a b, r a b ∨ r b a)
@[algebra] class is_preorder (α : Type u) (r : α → α → Prop) extends is_refl α r, is_trans α r : Prop.
@[algebra] class is_total_preorder (α : Type u) (r : α → α → Prop) extends is_trans α r, is_total α r : Prop.
instance is_total_preorder_is_preorder (α : Type u) (r : α → α → Prop) [s : is_total_preorder α r] : is_preorder α r :=
{trans := s.trans,
refl := λ a, or.elim (is_total.total r a a) id id}
@[algebra] class is_partial_order (α : Type u) (r : α → α → Prop) extends is_preorder α r, is_antisymm α r : Prop.
@[algebra] class is_linear_order (α : Type u) (r : α → α → Prop) extends is_partial_order α r, is_total α r : Prop.
@[algebra] class is_equiv (α : Type u) (r : α → α → Prop) extends is_preorder α r, is_symm α r : Prop.
@[algebra] class is_per (α : Type u) (r : α → α → Prop) extends is_symm α r, is_trans α r : Prop.
@[algebra] class is_strict_order (α : Type u) (r : α → α → Prop) extends is_irrefl α r, is_trans α r : Prop.
@[algebra] class is_incomp_trans (α : Type u) (lt : α → α → Prop) : Prop :=
(incomp_trans : ∀ a b c, (¬ lt a b ∧ ¬ lt b a) → (¬ lt b c ∧ ¬ lt c b) → (¬ lt a c ∧ ¬ lt c a))
@[algebra] class is_strict_weak_order (α : Type u) (lt : α → α → Prop) extends is_strict_order α lt, is_incomp_trans α lt : Prop.
@[algebra] class is_trichotomous (α : Type u) (lt : α → α → Prop) : Prop :=
(trichotomous : ∀ a b, lt a b ∨ a = b ∨ lt b a)
@[algebra] class is_strict_total_order (α : Type u) (lt : α → α → Prop) extends is_trichotomous α lt, is_strict_weak_order α lt.
instance eq_is_equiv (α : Type u) : is_equiv α (=) :=
{symm := @eq.symm _, trans := @eq.trans _, refl := eq.refl}
section
variables {α : Type u} {r : α → α → Prop}
local infix `≺`:50 := r
lemma irrefl [is_irrefl α r] (a : α) : ¬ a ≺ a :=
is_irrefl.irrefl _ a
lemma refl [is_refl α r] (a : α) : a ≺ a :=
is_refl.refl _ a
lemma trans [is_trans α r] {a b c : α} : a ≺ b → b ≺ c → a ≺ c :=
is_trans.trans _ _ _
lemma symm [is_symm α r] {a b : α} : a ≺ b → b ≺ a :=
is_symm.symm _ _
lemma antisymm [is_antisymm α r] {a b : α} : a ≺ b → b ≺ a → a = b :=
is_antisymm.antisymm _ _
lemma asymm [is_asymm α r] {a b : α} : a ≺ b → ¬ b ≺ a :=
is_asymm.asymm _ _
lemma trichotomous [is_trichotomous α r] : ∀ (a b : α), a ≺ b ∨ a = b ∨ b ≺ a :=
is_trichotomous.trichotomous r
lemma incomp_trans [is_incomp_trans α r] {a b c : α} : (¬ a ≺ b ∧ ¬ b ≺ a) → (¬ b ≺ c ∧ ¬ c ≺ b) → (¬ a ≺ c ∧ ¬ c ≺ a) :=
is_incomp_trans.incomp_trans _ _ _
instance is_asymm_of_is_trans_of_is_irrefl [is_trans α r] [is_irrefl α r] : is_asymm α r :=
⟨λ a b h₁ h₂, absurd (trans h₁ h₂) (irrefl a)⟩
section explicit_relation_variants
variable (r)
@[elab_simple]
lemma irrefl_of [is_irrefl α r] (a : α) : ¬ a ≺ a := irrefl a
@[elab_simple]
lemma refl_of [is_refl α r] (a : α) : a ≺ a := refl a
@[elab_simple]
lemma trans_of [is_trans α r] {a b c : α} : a ≺ b → b ≺ c → a ≺ c := trans
@[elab_simple]
lemma symm_of [is_symm α r] {a b : α} : a ≺ b → b ≺ a := symm
@[elab_simple]
lemma asymm_of [is_asymm α r] {a b : α} : a ≺ b → ¬ b ≺ a := asymm
@[elab_simple]
lemma total_of [is_total α r] (a b : α) : a ≺ b ∨ b ≺ a :=
is_total.total _ _ _
@[elab_simple]
lemma trichotomous_of [is_trichotomous α r] : ∀ (a b : α), a ≺ b ∨ a = b ∨ b ≺ a := trichotomous
@[elab_simple]
lemma incomp_trans_of [is_incomp_trans α r] {a b c : α} : (¬ a ≺ b ∧ ¬ b ≺ a) → (¬ b ≺ c ∧ ¬ c ≺ b) → (¬ a ≺ c ∧ ¬ c ≺ a) := incomp_trans
end explicit_relation_variants
end
namespace strict_weak_order
section
parameters {α : Type u} {r : α → α → Prop}
local infix `≺`:50 := r
def equiv (a b : α) : Prop :=
¬ a ≺ b ∧ ¬ b ≺ a
parameter [is_strict_weak_order α r]
local infix ` ≈ `:50 := equiv
lemma erefl (a : α) : a ≈ a :=
⟨irrefl a, irrefl a⟩
lemma esymm {a b : α} : a ≈ b → b ≈ a :=
λ ⟨h₁, h₂⟩, ⟨h₂, h₁⟩
lemma etrans {a b c : α} : a ≈ b → b ≈ c → a ≈ c :=
incomp_trans
lemma not_lt_of_equiv {a b : α} : a ≈ b → ¬ a ≺ b :=
λ h, h.1
lemma not_lt_of_equiv' {a b : α} : a ≈ b → ¬ b ≺ a :=
λ h, h.2
instance : is_equiv α equiv :=
{refl := erefl, trans := @etrans, symm := @esymm}
end
/- Notation for the equivalence relation induced by lt -/
notation a ` ≈[`:50 lt `]` b:50 := @equiv _ lt a b
end strict_weak_order
lemma is_strict_weak_order_of_is_total_preorder {α : Type u} {le : α → α → Prop} {lt : α → α → Prop} [decidable_rel le] [s : is_total_preorder α le]
(h : ∀ a b, lt a b ↔ ¬ le b a) : is_strict_weak_order α lt :=
{
trans :=
λ a b c hab hbc,
have nba : ¬ le b a, from iff.mp (h _ _) hab,
have ncb : ¬ le c b, from iff.mp (h _ _) hbc,
have hab : le a b, from or.resolve_left (total_of le b a) nba,
have nca : ¬ le c a, from λ hca : le c a,
have hcb : le c b, from trans_of le hca hab,
absurd hcb ncb,
iff.mpr (h _ _) nca,
irrefl := λ a hlt, absurd (refl_of le a) (iff.mp (h _ _) hlt),
incomp_trans := λ a b c ⟨nab, nba⟩ ⟨nbc, ncb⟩,
have hba : le b a, from decidable.of_not_not (iff.mp (not_iff_not_of_iff (h _ _)) nab),
have hab : le a b, from decidable.of_not_not (iff.mp (not_iff_not_of_iff (h _ _)) nba),
have hcb : le c b, from decidable.of_not_not (iff.mp (not_iff_not_of_iff (h _ _)) nbc),
have hbc : le b c, from decidable.of_not_not (iff.mp (not_iff_not_of_iff (h _ _)) ncb),
have hac : le a c, from trans_of le hab hbc,
have hca : le c a, from trans_of le hcb hba,
and.intro
(λ n, absurd hca (iff.mp (h _ _) n))
(λ n, absurd hac (iff.mp (h _ _) n))
}
lemma lt_of_lt_of_incomp {α : Type u} {lt : α → α → Prop} [is_strict_weak_order α lt] [decidable_rel lt]
: ∀ {a b c}, lt a b → (¬ lt b c ∧ ¬ lt c b) → lt a c :=
λ a b c hab ⟨nbc, ncb⟩,
have nca : ¬ lt c a, from λ hca, absurd (trans_of lt hca hab) ncb,
decidable.by_contradiction $
λ nac : ¬ lt a c,
have ¬ lt a b ∧ ¬ lt b a, from incomp_trans_of lt ⟨nac, nca⟩ ⟨ncb, nbc⟩,
absurd hab this.1
lemma lt_of_incomp_of_lt {α : Type u} {lt : α → α → Prop} [is_strict_weak_order α lt] [decidable_rel lt]
: ∀ {a b c}, (¬ lt a b ∧ ¬ lt b a) → lt b c → lt a c :=
λ a b c ⟨nab, nba⟩ hbc,
have nca : ¬ lt c a, from λ hca, absurd (trans_of lt hbc hca) nba,
decidable.by_contradiction $
λ nac : ¬ lt a c,
have ¬ lt b c ∧ ¬ lt c b, from incomp_trans_of lt ⟨nba, nab⟩ ⟨nac, nca⟩,
absurd hbc this.1
lemma eq_of_incomp {α : Type u} {lt : α → α → Prop} [is_trichotomous α lt] {a b} : (¬ lt a b ∧ ¬ lt b a) → a = b :=
λ ⟨nab, nba⟩,
match trichotomous_of lt a b with
| or.inl hab := absurd hab nab
| or.inr (or.inl hab) := hab
| or.inr (or.inr hba) := absurd hba nba
end
lemma eq_of_eqv_lt {α : Type u} {lt : α → α → Prop} [is_trichotomous α lt] {a b} : a ≈[lt] b → a = b :=
eq_of_incomp
lemma incomp_iff_eq {α : Type u} {lt : α → α → Prop} [is_trichotomous α lt] [is_irrefl α lt] (a b) : (¬ lt a b ∧ ¬ lt b a) ↔ a = b :=
iff.intro eq_of_incomp (λ hab, eq.subst hab (and.intro (irrefl_of lt a) (irrefl_of lt a)))
lemma eqv_lt_iff_eq {α : Type u} {lt : α → α → Prop} [is_trichotomous α lt] [is_irrefl α lt] (a b) : a ≈[lt] b ↔ a = b :=
incomp_iff_eq a b
lemma not_lt_of_lt {α : Type u} {lt : α → α → Prop} [is_strict_order α lt] {a b} : lt a b → ¬ lt b a :=
λ h₁ h₂, absurd (trans_of lt h₁ h₂) (irrefl_of lt _)
|
55786430c8aa95d0f3be0e6e20ec4e4a158db2c9 | 618003631150032a5676f229d13a079ac875ff77 | /src/data/list/sigma.lean | 63467a3ca56469f5b9608fac446fee991ad29343 | [
"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 | 24,012 | lean | /-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Sean Leather
Functions on lists of sigma types.
-/
import data.list.perm
import data.list.range
import data.sigma
universes u v
namespace list
variables {α : Type u} {β : α → Type v}
/- keys -/
/-- List of keys from a list of key-value pairs -/
def keys : list (sigma β) → list α :=
map sigma.fst
@[simp] theorem keys_nil : @keys α β [] = [] :=
rfl
@[simp] theorem keys_cons {s} {l : list (sigma β)} : (s :: l).keys = s.1 :: l.keys :=
rfl
theorem mem_keys_of_mem {s : sigma β} {l : list (sigma β)} : s ∈ l → s.1 ∈ l.keys :=
mem_map_of_mem sigma.fst
theorem exists_of_mem_keys {a} {l : list (sigma β)} (h : a ∈ l.keys) :
∃ (b : β a), sigma.mk a b ∈ l :=
let ⟨⟨a', b'⟩, m, e⟩ := exists_of_mem_map h in
eq.rec_on e (exists.intro b' m)
theorem mem_keys {a} {l : list (sigma β)} : a ∈ l.keys ↔ ∃ (b : β a), sigma.mk a b ∈ l :=
⟨exists_of_mem_keys, λ ⟨b, h⟩, mem_keys_of_mem h⟩
theorem not_mem_keys {a} {l : list (sigma β)} : a ∉ l.keys ↔ ∀ b : β a, sigma.mk a b ∉ l :=
(not_iff_not_of_iff mem_keys).trans not_exists
theorem not_eq_key {a} {l : list (sigma β)} : a ∉ l.keys ↔ ∀ s : sigma β, s ∈ l → a ≠ s.1 :=
iff.intro
(λ h₁ s h₂ e, absurd (mem_keys_of_mem h₂) (by rwa e at h₁))
(λ f h₁, let ⟨b, h₂⟩ := exists_of_mem_keys h₁ in f _ h₂ rfl)
/- nodupkeys -/
def nodupkeys (l : list (sigma β)) : Prop :=
l.keys.nodup
theorem nodupkeys_iff_pairwise {l} : nodupkeys l ↔
pairwise (λ s s' : sigma β, s.1 ≠ s'.1) l := pairwise_map _
theorem nodupkeys.pairwise_ne {l} (h : nodupkeys l) :
pairwise (λ s s' : sigma β, s.1 ≠ s'.1) l :=
nodupkeys_iff_pairwise.1 h
@[simp] theorem nodupkeys_nil : @nodupkeys α β [] := pairwise.nil
@[simp] theorem nodupkeys_cons {s : sigma β} {l : list (sigma β)} :
nodupkeys (s::l) ↔ s.1 ∉ l.keys ∧ nodupkeys l :=
by simp [keys, nodupkeys]
theorem nodupkeys.eq_of_fst_eq {l : list (sigma β)}
(nd : nodupkeys l) {s s' : sigma β} (h : s ∈ l) (h' : s' ∈ l) :
s.1 = s'.1 → s = s' :=
@forall_of_forall_of_pairwise _
(λ s s' : sigma β, s.1 = s'.1 → s = s')
(λ s s' H h, (H h.symm).symm) _ (λ x h _, rfl)
((nodupkeys_iff_pairwise.1 nd).imp (λ s s' h h', (h h').elim)) _ h _ h'
theorem nodupkeys.eq_of_mk_mem {a : α} {b b' : β a} {l : list (sigma β)}
(nd : nodupkeys l) (h : sigma.mk a b ∈ l) (h' : sigma.mk a b' ∈ l) : b = b' :=
by cases nd.eq_of_fst_eq h h' rfl; refl
theorem nodupkeys_singleton (s : sigma β) : nodupkeys [s] := nodup_singleton _
theorem nodupkeys_of_sublist {l₁ l₂ : list (sigma β)} (h : l₁ <+ l₂) :
nodupkeys l₂ → nodupkeys l₁ :=
nodup_of_sublist (h.map _)
theorem nodup_of_nodupkeys {l : list (sigma β)} : nodupkeys l → nodup l :=
nodup_of_nodup_map _
theorem perm_nodupkeys {l₁ l₂ : list (sigma β)} (h : l₁ ~ l₂) : nodupkeys l₁ ↔ nodupkeys l₂ :=
(h.map _).nodup_iff
theorem nodupkeys_join {L : list (list (sigma β))} :
nodupkeys (join L) ↔ (∀ l ∈ L, nodupkeys l) ∧ pairwise disjoint (L.map keys) :=
begin
rw [nodupkeys_iff_pairwise, pairwise_join, pairwise_map],
refine and_congr (ball_congr $ λ l h, by simp [nodupkeys_iff_pairwise]) _,
apply iff_of_eq, congr', ext l₁ l₂,
simp [keys, disjoint_iff_ne]
end
theorem nodup_enum_map_fst (l : list α) : (l.enum.map prod.fst).nodup :=
by simp [list.nodup_range]
lemma mem_ext {l₀ l₁ : list (sigma β)}
(nd₀ : l₀.nodup) (nd₁ : l₁.nodup)
(h : ∀ x, x ∈ l₀ ↔ x ∈ l₁) : l₀ ~ l₁ :=
begin
induction l₀ with x xs generalizing l₁; cases l₁ with y ys,
{ constructor },
iterate 2
{ specialize h x <|> specialize h y, simp at h,
cases h },
simp at nd₀ nd₁, classical,
cases nd₀, cases nd₁,
by_cases h' : x = y,
{ subst y, constructor, apply l₀_ih ‹ _ › ‹ nodup ys ›,
intro a, specialize h a, simp at h,
by_cases h' : a = x,
{ subst a, rw ← not_iff_not, split; intro; assumption },
{ simp [h'] at h, exact h } },
{ transitivity x :: y :: ys.erase x,
{ constructor, apply l₀_ih ‹ _ ›,
{ simp, split, { intro, apply nd₁_left, apply mem_of_mem_erase a },
apply nodup_erase_of_nodup; assumption },
{ intro a, specialize h a, simp at h,
by_cases h' : a = x,
{ subst a, rw ← not_iff_not, split; intro, simp [mem_erase_of_nodup,*], assumption },
{ simp [h'] at h, simp [h], apply or_congr, refl,
simp [mem_erase_of_ne,*] } } },
transitivity y :: x :: ys.erase x,
{ constructor },
{ constructor, symmetry, apply perm_cons_erase,
specialize h x, simp [h'] at h, exact h } }
end
variables [decidable_eq α]
/- lookup -/
/-- `lookup a l` is the first value in `l` corresponding to the key `a`,
or `none` if no such element exists. -/
def lookup (a : α) : list (sigma β) → option (β a)
| [] := none
| (⟨a', b⟩ :: l) := if h : a' = a then some (eq.rec_on h b) else lookup l
@[simp] theorem lookup_nil (a : α) : lookup a [] = @none (β a) := rfl
@[simp] theorem lookup_cons_eq (l) (a : α) (b : β a) : lookup a (⟨a, b⟩::l) = some b :=
dif_pos rfl
@[simp] theorem lookup_cons_ne (l) {a} :
∀ s : sigma β, a ≠ s.1 → lookup a (s::l) = lookup a l
| ⟨a', b⟩ h := dif_neg h.symm
theorem lookup_is_some {a : α} : ∀ {l : list (sigma β)},
(lookup a l).is_some ↔ a ∈ l.keys
| [] := by simp
| (⟨a', b⟩ :: l) := begin
by_cases h : a = a',
{ subst a', simp },
{ simp [h, lookup_is_some] },
end
theorem lookup_eq_none {a : α} {l : list (sigma β)} :
lookup a l = none ↔ a ∉ l.keys :=
by simp [← lookup_is_some, option.is_none_iff_eq_none]
theorem of_mem_lookup
{a : α} {b : β a} : ∀ {l : list (sigma β)}, b ∈ lookup a l → sigma.mk a b ∈ l
| (⟨a', b'⟩ :: l) H := begin
by_cases h : a = a',
{ subst a', simp at H, simp [H] },
{ simp [h] at H, exact or.inr (of_mem_lookup H) }
end
theorem mem_lookup {a} {b : β a} {l : list (sigma β)} (nd : l.nodupkeys)
(h : sigma.mk a b ∈ l) : b ∈ lookup a l :=
begin
cases option.is_some_iff_exists.mp (lookup_is_some.mpr (mem_keys_of_mem h)) with b' h',
cases nd.eq_of_mk_mem h (of_mem_lookup h'),
exact h'
end
theorem map_lookup_eq_find (a : α) : ∀ l : list (sigma β),
(lookup a l).map (sigma.mk a) = find (λ s, a = s.1) l
| [] := rfl
| (⟨a', b'⟩ :: l) := begin
by_cases h : a = a',
{ subst a', simp },
{ simp [h, map_lookup_eq_find] }
end
theorem mem_lookup_iff {a : α} {b : β a} {l : list (sigma β)} (nd : l.nodupkeys) :
b ∈ lookup a l ↔ sigma.mk a b ∈ l :=
⟨of_mem_lookup, mem_lookup nd⟩
theorem perm_lookup (a : α) {l₁ l₂ : list (sigma β)}
(nd₁ : l₁.nodupkeys) (nd₂ : l₂.nodupkeys) (p : l₁ ~ l₂) : lookup a l₁ = lookup a l₂ :=
by ext b; simp [mem_lookup_iff, nd₁, nd₂]; exact p.mem_iff
lemma lookup_ext {l₀ l₁ : list (sigma β)}
(nd₀ : l₀.nodupkeys) (nd₁ : l₁.nodupkeys)
(h : ∀ x y, y ∈ l₀.lookup x ↔ y ∈ l₁.lookup x) : l₀ ~ l₁ :=
mem_ext (nodup_of_nodupkeys nd₀) (nodup_of_nodupkeys nd₁)
(λ ⟨a,b⟩, by rw [← mem_lookup_iff, ← mem_lookup_iff, h]; assumption)
/- lookup_all -/
/-- `lookup_all a l` is the list of all values in `l` corresponding to the key `a`. -/
def lookup_all (a : α) : list (sigma β) → list (β a)
| [] := []
| (⟨a', b⟩ :: l) := if h : a' = a then eq.rec_on h b :: lookup_all l else lookup_all l
@[simp] theorem lookup_all_nil (a : α) : lookup_all a [] = @nil (β a) := rfl
@[simp] theorem lookup_all_cons_eq (l) (a : α) (b : β a) :
lookup_all a (⟨a, b⟩::l) = b :: lookup_all a l :=
dif_pos rfl
@[simp] theorem lookup_all_cons_ne (l) {a} :
∀ s : sigma β, a ≠ s.1 → lookup_all a (s::l) = lookup_all a l
| ⟨a', b⟩ h := dif_neg h.symm
theorem lookup_all_eq_nil {a : α} : ∀ {l : list (sigma β)},
lookup_all a l = [] ↔ ∀ b : β a, sigma.mk a b ∉ l
| [] := by simp
| (⟨a', b⟩ :: l) := begin
by_cases h : a = a',
{ subst a', simp, exact ⟨_, or.inl rfl⟩ },
{ simp [h, lookup_all_eq_nil] },
end
theorem head_lookup_all (a : α) : ∀ l : list (sigma β),
head' (lookup_all a l) = lookup a l
| [] := by simp
| (⟨a', b⟩ :: l) := by by_cases h : a = a'; [{subst h, simp}, simp *]
theorem mem_lookup_all {a : α} {b : β a} :
∀ {l : list (sigma β)}, b ∈ lookup_all a l ↔ sigma.mk a b ∈ l
| [] := by simp
| (⟨a', b'⟩ :: l) := by by_cases h : a = a'; [{subst h, simp *}, simp *]
theorem lookup_all_sublist (a : α) :
∀ l : list (sigma β), (lookup_all a l).map (sigma.mk a) <+ l
| [] := by simp
| (⟨a', b'⟩ :: l) := begin
by_cases h : a = a',
{ subst h, simp, exact (lookup_all_sublist l).cons2 _ _ _ },
{ simp [h], exact (lookup_all_sublist l).cons _ _ _ }
end
theorem lookup_all_length_le_one (a : α) {l : list (sigma β)} (h : l.nodupkeys) :
length (lookup_all a l) ≤ 1 :=
by have := nodup_of_sublist ((lookup_all_sublist a l).map _) h;
rw map_map at this; rwa [← nodup_repeat, ← map_const _ a]
theorem lookup_all_eq_lookup (a : α) {l : list (sigma β)} (h : l.nodupkeys) :
lookup_all a l = (lookup a l).to_list :=
begin
rw ← head_lookup_all,
have := lookup_all_length_le_one a h, revert this,
rcases lookup_all a l with _|⟨b, _|⟨c, l⟩⟩; intro; try {refl},
exact absurd this dec_trivial
end
theorem lookup_all_nodup (a : α) {l : list (sigma β)} (h : l.nodupkeys) :
(lookup_all a l).nodup :=
by rw lookup_all_eq_lookup a h; apply option.to_list_nodup
theorem perm_lookup_all (a : α) {l₁ l₂ : list (sigma β)}
(nd₁ : l₁.nodupkeys) (nd₂ : l₂.nodupkeys) (p : l₁ ~ l₂) : lookup_all a l₁ = lookup_all a l₂ :=
by simp [lookup_all_eq_lookup, nd₁, nd₂, perm_lookup a nd₁ nd₂ p]
/- kreplace -/
def kreplace (a : α) (b : β a) : list (sigma β) → list (sigma β) :=
lookmap $ λ s, if h : a = s.1 then some ⟨a, b⟩ else none
theorem kreplace_of_forall_not (a : α) (b : β a) {l : list (sigma β)}
(H : ∀ b : β a, sigma.mk a b ∉ l) : kreplace a b l = l :=
lookmap_of_forall_not _ $ begin
rintro ⟨a', b'⟩ h, dsimp, split_ifs,
{ subst a', exact H _ h }, {refl}
end
theorem kreplace_self {a : α} {b : β a} {l : list (sigma β)}
(nd : nodupkeys l) (h : sigma.mk a b ∈ l) : kreplace a b l = l :=
begin
refine (lookmap_congr _).trans
(lookmap_id' (option.guard (λ s, a = s.1)) _ _),
{ rintro ⟨a', b'⟩ h', dsimp [option.guard], split_ifs,
{ subst a', exact ⟨rfl, heq_of_eq $ nd.eq_of_mk_mem h h'⟩ },
{ refl } },
{ rintro ⟨a₁, b₁⟩ ⟨a₂, b₂⟩, dsimp [option.guard], split_ifs,
{ subst a₁, rintro ⟨⟩, simp }, { rintro ⟨⟩ } },
end
theorem keys_kreplace (a : α) (b : β a) : ∀ l : list (sigma β),
(kreplace a b l).keys = l.keys :=
lookmap_map_eq _ _ $ by rintro ⟨a₁, b₂⟩ ⟨a₂, b₂⟩;
dsimp; split_ifs; simp [h] {contextual := tt}
theorem kreplace_nodupkeys (a : α) (b : β a) {l : list (sigma β)} :
(kreplace a b l).nodupkeys ↔ l.nodupkeys :=
by simp [nodupkeys, keys_kreplace]
theorem perm.kreplace {a : α} {b : β a} {l₁ l₂ : list (sigma β)}
(nd : l₁.nodupkeys) : l₁ ~ l₂ →
kreplace a b l₁ ~ kreplace a b l₂ :=
perm_lookmap _ $ begin
refine nd.pairwise_ne.imp _,
intros x y h z h₁ w h₂,
split_ifs at h₁ h₂; cases h₁; cases h₂,
exact (h (h_2.symm.trans h_1)).elim
end
/- kerase -/
/-- Remove the first pair with the key `a`. -/
def kerase (a : α) : list (sigma β) → list (sigma β) :=
erasep $ λ s, a = s.1
@[simp] theorem kerase_nil {a} : @kerase _ β _ a [] = [] :=
rfl
@[simp, priority 990]
theorem kerase_cons_eq {a} {s : sigma β} {l : list (sigma β)} (h : a = s.1) :
kerase a (s :: l) = l :=
by simp [kerase, h]
@[simp, priority 990]
theorem kerase_cons_ne {a} {s : sigma β} {l : list (sigma β)} (h : a ≠ s.1) :
kerase a (s :: l) = s :: kerase a l :=
by simp [kerase, h]
@[simp, priority 980]
theorem kerase_of_not_mem_keys {a} {l : list (sigma β)} (h : a ∉ l.keys) :
kerase a l = l :=
by induction l with _ _ ih;
[refl, { simp [not_or_distrib] at h, simp [h.1, ih h.2] }]
theorem kerase_sublist (a : α) (l : list (sigma β)) : kerase a l <+ l :=
erasep_sublist _
theorem kerase_keys_subset (a) (l : list (sigma β)) :
(kerase a l).keys ⊆ l.keys :=
((kerase_sublist a l).map _).subset
theorem mem_keys_of_mem_keys_kerase {a₁ a₂} {l : list (sigma β)} :
a₁ ∈ (kerase a₂ l).keys → a₁ ∈ l.keys :=
@kerase_keys_subset _ _ _ _ _ _
theorem exists_of_kerase {a : α} {l : list (sigma β)} (h : a ∈ l.keys) :
∃ (b : β a) (l₁ l₂ : list (sigma β)),
a ∉ l₁.keys ∧
l = l₁ ++ ⟨a, b⟩ :: l₂ ∧
kerase a l = l₁ ++ l₂ :=
begin
induction l,
case list.nil { cases h },
case list.cons : hd tl ih {
by_cases e : a = hd.1,
{ subst e,
exact ⟨hd.2, [], tl, by simp, by cases hd; refl, by simp⟩ },
{ simp at h,
cases h,
case or.inl : h { exact absurd h e },
case or.inr : h {
rcases ih h with ⟨b, tl₁, tl₂, h₁, h₂, h₃⟩,
exact ⟨b, hd :: tl₁, tl₂, not_mem_cons_of_ne_of_not_mem e h₁,
by rw h₂; refl, by simp [e, h₃]⟩ } } }
end
@[simp, priority 990]
theorem mem_keys_kerase_of_ne {a₁ a₂} {l : list (sigma β)} (h : a₁ ≠ a₂) :
a₁ ∈ (kerase a₂ l).keys ↔ a₁ ∈ l.keys :=
iff.intro mem_keys_of_mem_keys_kerase $ λ p,
if q : a₂ ∈ l.keys then
match l, kerase a₂ l, exists_of_kerase q, p with
| _, _, ⟨_, _, _, _, rfl, rfl⟩, p := by simpa [keys, h] using p
end
else
by simp [q, p]
theorem keys_kerase {a} {l : list (sigma β)} : (kerase a l).keys = l.keys.erase a :=
by rw [keys, kerase, ←erasep_map sigma.fst l, erase_eq_erasep]
theorem kerase_kerase {a a'} {l : list (sigma β)} :
(kerase a' l).kerase a = (kerase a l).kerase a' :=
begin
by_cases a = a',
{ subst a' },
induction l with x xs, { refl },
{ by_cases a' = x.1,
{ subst a', simp [kerase_cons_ne h,kerase_cons_eq rfl] },
by_cases h' : a = x.1,
{ subst a, simp [kerase_cons_eq rfl,kerase_cons_ne (ne.symm h)] },
{ simp [kerase_cons_ne,*] } }
end
theorem kerase_nodupkeys (a : α) {l : list (sigma β)} : nodupkeys l → (kerase a l).nodupkeys :=
nodupkeys_of_sublist $ kerase_sublist _ _
theorem perm.kerase {a : α} {l₁ l₂ : list (sigma β)}
(nd : l₁.nodupkeys) : l₁ ~ l₂ → kerase a l₁ ~ kerase a l₂ :=
perm.erasep _ $ (nodupkeys_iff_pairwise.1 nd).imp $
by rintro x y h rfl; exact h
@[simp] theorem not_mem_keys_kerase (a) {l : list (sigma β)} (nd : l.nodupkeys) :
a ∉ (kerase a l).keys :=
begin
induction l,
case list.nil { simp },
case list.cons : hd tl ih {
simp at nd,
by_cases h : a = hd.1,
{ subst h, simp [nd.1] },
{ simp [h, ih nd.2] } }
end
@[simp] theorem lookup_kerase (a) {l : list (sigma β)} (nd : l.nodupkeys) :
lookup a (kerase a l) = none :=
lookup_eq_none.mpr (not_mem_keys_kerase a nd)
@[simp] theorem lookup_kerase_ne {a a'} {l : list (sigma β)} (h : a ≠ a') :
lookup a (kerase a' l) = lookup a l :=
begin
induction l,
case list.nil { refl },
case list.cons : hd tl ih {
cases hd with ah bh,
by_cases h₁ : a = ah; by_cases h₂ : a' = ah,
{ substs h₁ h₂, cases ne.irrefl h },
{ subst h₁, simp [h₂] },
{ subst h₂, simp [h] },
{ simp [h₁, h₂, ih] }
}
end
theorem kerase_append_left {a} : ∀ {l₁ l₂ : list (sigma β)},
a ∈ l₁.keys → kerase a (l₁ ++ l₂) = kerase a l₁ ++ l₂
| [] _ h := by cases h
| (s :: l₁) l₂ h₁ :=
if h₂ : a = s.1 then
by simp [h₂]
else
by simp at h₁;
cases h₁;
[exact absurd h₁ h₂, simp [h₂, kerase_append_left h₁]]
theorem kerase_append_right {a} : ∀ {l₁ l₂ : list (sigma β)},
a ∉ l₁.keys → kerase a (l₁ ++ l₂) = l₁ ++ kerase a l₂
| [] _ h := rfl
| (_ :: l₁) l₂ h := by simp [not_or_distrib] at h;
simp [h.1, kerase_append_right h.2]
theorem kerase_comm (a₁ a₂) (l : list (sigma β)) :
kerase a₂ (kerase a₁ l) = kerase a₁ (kerase a₂ l) :=
if h : a₁ = a₂ then
by simp [h]
else if ha₁ : a₁ ∈ l.keys then
if ha₂ : a₂ ∈ l.keys then
match l, kerase a₁ l, exists_of_kerase ha₁, ha₂ with
| _, _, ⟨b₁, l₁, l₂, a₁_nin_l₁, rfl, rfl⟩, a₂_in_l₁_app_l₂ :=
if h' : a₂ ∈ l₁.keys then
by simp [kerase_append_left h',
kerase_append_right (mt (mem_keys_kerase_of_ne h).mp a₁_nin_l₁)]
else
by simp [kerase_append_right h', kerase_append_right a₁_nin_l₁,
@kerase_cons_ne _ _ _ a₂ ⟨a₁, b₁⟩ _ (ne.symm h)]
end
else
by simp [ha₂, mt mem_keys_of_mem_keys_kerase ha₂]
else
by simp [ha₁, mt mem_keys_of_mem_keys_kerase ha₁]
/- kinsert -/
/-- Insert the pair `⟨a, b⟩` and erase the first pair with the key `a`. -/
def kinsert (a : α) (b : β a) (l : list (sigma β)) : list (sigma β) :=
⟨a, b⟩ :: kerase a l
@[simp] theorem kinsert_def {a} {b : β a} {l : list (sigma β)} :
kinsert a b l = ⟨a, b⟩ :: kerase a l := rfl
theorem mem_keys_kinsert {a a'} {b' : β a'} {l : list (sigma β)} :
a ∈ (kinsert a' b' l).keys ↔ a = a' ∨ a ∈ l.keys :=
by by_cases h : a = a'; simp [h]
theorem kinsert_nodupkeys (a) (b : β a) {l : list (sigma β)} (nd : l.nodupkeys) :
(kinsert a b l).nodupkeys :=
nodupkeys_cons.mpr ⟨not_mem_keys_kerase a nd, kerase_nodupkeys a nd⟩
theorem perm.kinsert {a} {b : β a} {l₁ l₂ : list (sigma β)} (nd₁ : l₁.nodupkeys)
(p : l₁ ~ l₂) : kinsert a b l₁ ~ kinsert a b l₂ :=
(p.kerase nd₁).cons _
theorem lookup_kinsert {a} {b : β a} (l : list (sigma β)) :
lookup a (kinsert a b l) = some b :=
by simp only [kinsert, lookup_cons_eq]
theorem lookup_kinsert_ne {a a'} {b' : β a'} {l : list (sigma β)} (h : a ≠ a') :
lookup a (kinsert a' b' l) = lookup a l :=
by simp [h]
/- kextract -/
def kextract (a : α) : list (sigma β) → option (β a) × list (sigma β)
| [] := (none, [])
| (s::l) := if h : s.1 = a then (some (eq.rec_on h s.2), l) else
let (b', l') := kextract l in (b', s :: l')
@[simp] theorem kextract_eq_lookup_kerase (a : α) :
∀ l : list (sigma β), kextract a l = (lookup a l, kerase a l)
| [] := rfl
| (⟨a', b⟩::l) := begin
simp [kextract], dsimp, split_ifs,
{ subst a', simp [kerase] },
{ simp [kextract, ne.symm h, kextract_eq_lookup_kerase l, kerase] }
end
/- erase_dupkeys -/
/-- Remove entries with duplicate keys from `l : list (sigma β)`. -/
def erase_dupkeys : list (sigma β) → list (sigma β) :=
list.foldr (λ x, kinsert x.1 x.2) []
lemma erase_dupkeys_cons {x : sigma β} (l : list (sigma β)) :
erase_dupkeys (x :: l) = kinsert x.1 x.2 (erase_dupkeys l) := rfl
lemma nodupkeys_erase_dupkeys (l : list (sigma β)) : nodupkeys (erase_dupkeys l) :=
begin
dsimp [erase_dupkeys], generalize hl : nil = l',
have : nodupkeys l', { rw ← hl, apply nodup_nil },
clear hl,
induction l with x xs,
{ apply this },
{ cases x, simp [erase_dupkeys], split,
{ simp [keys_kerase], apply mem_erase_of_nodup l_ih },
apply kerase_nodupkeys _ l_ih, }
end
lemma lookup_erase_dupkeys (a : α) (l : list (sigma β)) : lookup a (erase_dupkeys l) = lookup a l :=
begin
induction l, refl,
cases l_hd with a' b,
by_cases a = a',
{ subst a', rw [erase_dupkeys_cons,lookup_kinsert,lookup_cons_eq] },
{ rw [erase_dupkeys_cons,lookup_kinsert_ne h,l_ih,lookup_cons_ne], exact h },
end
/- kunion -/
/-- `kunion l₁ l₂` is the append to l₁ of l₂ after, for each key in l₁, the
first matching pair in l₂ is erased. -/
def kunion : list (sigma β) → list (sigma β) → list (sigma β)
| [] l₂ := l₂
| (s :: l₁) l₂ := s :: kunion l₁ (kerase s.1 l₂)
@[simp] theorem nil_kunion {l : list (sigma β)} : kunion [] l = l :=
rfl
@[simp] theorem kunion_nil : ∀ {l : list (sigma β)}, kunion l [] = l
| [] := rfl
| (_ :: l) := by rw [kunion, kerase_nil, kunion_nil]
@[simp] theorem kunion_cons {s} {l₁ l₂ : list (sigma β)} :
kunion (s :: l₁) l₂ = s :: kunion l₁ (kerase s.1 l₂) :=
rfl
@[simp] theorem mem_keys_kunion {a} {l₁ l₂ : list (sigma β)} :
a ∈ (kunion l₁ l₂).keys ↔ a ∈ l₁.keys ∨ a ∈ l₂.keys :=
begin
induction l₁ generalizing l₂,
case list.nil { simp },
case list.cons : s l₁ ih { by_cases h : a = s.1; [simp [h], simp [h, ih]] }
end
@[simp] theorem kunion_kerase {a} : ∀ {l₁ l₂ : list (sigma β)},
kunion (kerase a l₁) (kerase a l₂) = kerase a (kunion l₁ l₂)
| [] _ := rfl
| (s :: _) l := by by_cases h : a = s.1;
simp [h, kerase_comm a s.1 l, kunion_kerase]
theorem kunion_nodupkeys {l₁ l₂ : list (sigma β)}
(nd₁ : l₁.nodupkeys) (nd₂ : l₂.nodupkeys) : (kunion l₁ l₂).nodupkeys :=
begin
induction l₁ generalizing l₂,
case list.nil { simp only [nil_kunion, nd₂] },
case list.cons : s l₁ ih {
simp at nd₁,
simp [not_or_distrib, nd₁.1, nd₂, ih nd₁.2 (kerase_nodupkeys s.1 nd₂)] }
end
theorem perm.kunion_right {l₁ l₂ : list (sigma β)} (p : l₁ ~ l₂) (l) :
kunion l₁ l ~ kunion l₂ l :=
begin
induction p generalizing l,
case list.perm.nil { refl },
case list.perm.cons : hd tl₁ tl₂ p ih {
simp [ih (kerase hd.1 l), perm.cons] },
case list.perm.swap : s₁ s₂ l {
simp [kerase_comm, perm.swap] },
case list.perm.trans : l₁ l₂ l₃ p₁₂ p₂₃ ih₁₂ ih₂₃ {
exact perm.trans (ih₁₂ l) (ih₂₃ l) }
end
theorem perm.kunion_left : ∀ l {l₁ l₂ : list (sigma β)},
l₁.nodupkeys → l₁ ~ l₂ → kunion l l₁ ~ kunion l l₂
| [] _ _ _ p := p
| (s :: l) l₁ l₂ nd₁ p :=
by simp [((p.kerase nd₁).kunion_left l (kerase_nodupkeys s.1 nd₁)).cons s]
theorem perm.kunion {l₁ l₂ l₃ l₄ : list (sigma β)} (nd₃ : l₃.nodupkeys)
(p₁₂ : l₁ ~ l₂) (p₃₄ : l₃ ~ l₄) : kunion l₁ l₃ ~ kunion l₂ l₄ :=
(p₁₂.kunion_right l₃).trans (p₃₄.kunion_left l₂ nd₃)
@[simp] theorem lookup_kunion_left {a} {l₁ l₂ : list (sigma β)} (h : a ∈ l₁.keys) :
lookup a (kunion l₁ l₂) = lookup a l₁ :=
begin
induction l₁ with s _ ih generalizing l₂; simp at h; cases h; cases s with a',
{ subst h, simp },
{ rw kunion_cons,
by_cases h' : a = a',
{ subst h', simp },
{ simp [h', ih h] } }
end
@[simp] theorem lookup_kunion_right {a} {l₁ l₂ : list (sigma β)} (h : a ∉ l₁.keys) :
lookup a (kunion l₁ l₂) = lookup a l₂ :=
begin
induction l₁ generalizing l₂,
case list.nil { simp },
case list.cons : _ _ ih { simp [not_or_distrib] at h, simp [h.1, ih h.2] }
end
@[simp] theorem mem_lookup_kunion {a} {b : β a} {l₁ l₂ : list (sigma β)} :
b ∈ lookup a (kunion l₁ l₂) ↔ b ∈ lookup a l₁ ∨ a ∉ l₁.keys ∧ b ∈ lookup a l₂ :=
begin
induction l₁ generalizing l₂,
case list.nil { simp },
case list.cons : s _ ih {
cases s with a',
by_cases h₁ : a = a',
{ subst h₁, simp },
{ let h₂ := @ih (kerase a' l₂), simp [h₁] at h₂, simp [h₁, h₂] } }
end
theorem mem_lookup_kunion_middle {a} {b : β a} {l₁ l₂ l₃ : list (sigma β)}
(h₁ : b ∈ lookup a (kunion l₁ l₃)) (h₂ : a ∉ keys l₂) :
b ∈ lookup a (kunion (kunion l₁ l₂) l₃) :=
match mem_lookup_kunion.mp h₁ with
| or.inl h := mem_lookup_kunion.mpr (or.inl (mem_lookup_kunion.mpr (or.inl h)))
| or.inr h := mem_lookup_kunion.mpr $
or.inr ⟨mt mem_keys_kunion.mp (not_or_distrib.mpr ⟨h.1, h₂⟩), h.2⟩
end
end list
|
0529a54790f605a16296b944bb6369a9e97797fd | 22e97a5d648fc451e25a06c668dc03ac7ed7bc25 | /src/category_theory/elements.lean | 46ab556901fcbe2edd9f39e34325f23aeaa2789b | [
"Apache-2.0"
] | permissive | keeferrowan/mathlib | f2818da875dbc7780830d09bd4c526b0764a4e50 | aad2dfc40e8e6a7e258287a7c1580318e865817e | refs/heads/master | 1,661,736,426,952 | 1,590,438,032,000 | 1,590,438,032,000 | 266,892,663 | 0 | 0 | Apache-2.0 | 1,590,445,835,000 | 1,590,445,835,000 | null | UTF-8 | Lean | false | false | 4,056 | 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.comma
import category_theory.groupoid
/-!
# The category of elements
This file defines the category of elements, also known as (a special case of) the Grothendieck construction.
Given a functor `F : C ⥤ Type`, an object of `F.elements` is a pair `(X : C, x : F.obj X)`.
A morphism `(X, x) ⟶ (Y, y)` is a morphism `f : X ⟶ Y` in `C`, so `F.map f` takes `x` to `y`.
## Implementation notes
This construction is equivalent to a special case of a comma construction, so this is mostly just
a more convenient API. We prove the equivalence in `category_theory.category_of_elements.comma_equivalence`.
## References
* [Emily Riehl, *Category Theory in Context*, Section 2.4][riehl2017]
* <https://en.wikipedia.org/wiki/Category_of_elements>
* <https://ncatlab.org/nlab/show/category+of+elements>
## Tags
category of elements, Grothendieck construction, comma category
-/
namespace category_theory
universes w v u
variables {C : Type u} [𝒞 : category.{v} C]
include 𝒞
/-- The type of objects for the category of elements of a functor `F : C ⥤ Type` is a pair `(X : C, x : F.obj X)`. -/
def functor.elements (F : C ⥤ Type w) := (Σ c : C, F.obj c)
/-- The category structure on `F.elements`, for `F : C ⥤ Type`.
A morphism `(X, x) ⟶ (Y, y)` is a morphism `f : X ⟶ Y` in `C`, so `F.map f` takes `x` to `y`.
-/
instance category_of_elements (F : C ⥤ Type w) : category F.elements :=
{ hom := λ p q, { f : p.1 ⟶ q.1 // (F.map f) p.2 = q.2 },
id := λ p, ⟨𝟙 p.1, by obviously⟩,
comp := λ p q r f g, ⟨f.val ≫ g.val, by obviously⟩ }
omit 𝒞 -- We'll assume C has a groupoid structure, so temporarily forget its category structure
-- to avoid conflicts.
instance groupoid_of_elements [groupoid C] (F : C ⥤ Type w) : groupoid F.elements :=
{ inv := λ p q f, ⟨inv f.val,
calc F.map (inv f.val) q.2 = F.map (inv f.val) (F.map f.val p.2) : by rw f.2
... = (F.map f.val ≫ F.map (inv f.val)) p.2 : by simp
... = p.2 : by {rw ←functor.map_comp, simp}⟩ }
include 𝒞
namespace category_of_elements
variable (F : C ⥤ Type w)
/-- The functor out of the category of elements which forgets the element. -/
def π : F.elements ⥤ C :=
{ obj := λ X, X.1,
map := λ X Y f, f.val }
@[simp] lemma π_obj (X : F.elements) : (π F).obj X = X.1 := rfl
@[simp] lemma π_map {X Y : F.elements} (f : X ⟶ Y) : (π F).map f = f.val := rfl
/-- The forward direction of the equivalence `F.elements ≅ (*, F)`. -/
def to_comma : F.elements ⥤ comma ((functor.const punit).obj punit) F :=
{ obj := λ X, { left := punit.star, right := X.1, hom := λ _, X.2 },
map := λ X Y f, { right := f.val } }
@[simp] lemma to_comma_obj (X) :
(to_comma F).obj X = { left := punit.star, right := X.1, hom := λ _, X.2 } := rfl
@[simp] lemma to_comma_map {X Y} (f : X ⟶ Y) :
(to_comma F).map f = { right := f.val } := rfl
/-- The reverse direction of the equivalence `F.elements ≅ (*, F)`. -/
def from_comma : comma ((functor.const punit).obj punit) F ⥤ F.elements :=
{ obj := λ X, ⟨X.right, X.hom (punit.star)⟩,
map := λ X Y f, ⟨f.right, congr_fun f.w'.symm punit.star⟩ }
@[simp] lemma from_comma_obj (X) :
(from_comma F).obj X = ⟨X.right, X.hom (punit.star)⟩ := rfl
@[simp] lemma from_comma_map {X Y} (f : X ⟶ Y) :
(from_comma F).map f = ⟨f.right, congr_fun f.w'.symm punit.star⟩ := rfl
/-- The equivalence between the category of elements `F.elements`
and the comma category `(*, F)`. -/
def comma_equivalence : F.elements ≌ comma ((functor.const punit).obj punit) F :=
equivalence.mk (to_comma F) (from_comma F)
(nat_iso.of_components (λ X, eq_to_iso (by tidy)) (by tidy))
(nat_iso.of_components
(λ X, { hom := { right := 𝟙 _ }, inv := { right := 𝟙 _ } })
(by tidy))
end category_of_elements
end category_theory
|
7fb693e3c005f254d4535dc0bff6d7d84baccb0f | cf39355caa609c0f33405126beee2739aa3cb77e | /library/init/meta/simp_tactic.lean | 8e98d0b4e39723aca4551f440914eb1bb97a1d0d | [
"Apache-2.0"
] | permissive | leanprover-community/lean | 12b87f69d92e614daea8bcc9d4de9a9ace089d0e | cce7990ea86a78bdb383e38ed7f9b5ba93c60ce0 | refs/heads/master | 1,687,508,156,644 | 1,684,951,104,000 | 1,684,951,104,000 | 169,960,991 | 457 | 107 | Apache-2.0 | 1,686,744,372,000 | 1,549,790,268,000 | C++ | UTF-8 | Lean | false | false | 28,078 | lean | /-
Copyright (c) 2016 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
prelude
import init.meta.tactic init.meta.attribute init.meta.constructor_tactic
import init.meta.relation_tactics init.meta.occurrences
import init.data.option.basic
open tactic
def tactic.id_tag.simp : unit := ()
def simp.default_max_steps := 10000000
/-- Prefix the given `attr_name` with `"simp_attr"`. -/
meta constant mk_simp_attr_decl_name (attr_name : name) : name
/-- Simp lemmas are used by the "simplifier" family of tactics.
`simp_lemmas` is essentially a pair of tables `rb_map (expr_type × name) (priority_list simp_lemma)`.
One of the tables is for congruences and one is for everything else.
An individual simp lemma is:
- A kind which can be `Refl`, `Simp` or `Congr`.
- A pair of `expr`s `l ~> r`. The rb map is indexed by the name of `get_app_fn(l)`.
- A proof that `l = r` or `l ↔ r`.
- A list of the metavariables that must be filled before the proof can be applied.
- A priority number
-/
meta constant simp_lemmas : Type
/-- Make a new table of simp lemmas -/
meta constant simp_lemmas.mk : simp_lemmas
/-- Merge the simp_lemma tables. -/
meta constant simp_lemmas.join : simp_lemmas → simp_lemmas → simp_lemmas
/-- Remove the given lemmas from the table. Use the names of the lemmas. -/
meta constant simp_lemmas.erase : simp_lemmas → list name → simp_lemmas
/-- Remove all simp lemmas from the table. -/
meta constant simp_lemmas.erase_simp_lemmas : simp_lemmas → simp_lemmas
/-- Makes the default simp_lemmas table which is composed of all lemmas tagged with `simp`. -/
meta constant simp_lemmas.mk_default : tactic simp_lemmas
/-- Add a simplification lemma by an expression `p`. Some conditions on `p` must hold for it to be added, see list below.
If your lemma is not being added, you can see the reasons by setting `set_option trace.simp_lemmas true`.
- `p` must have the type `Π (h₁ : _) ... (hₙ : _), LHS ~ RHS` for some reflexive, transitive relation (usually `=`).
- Any of the hypotheses `hᵢ` should either be present in `LHS` or otherwise a `Prop` or a typeclass instance.
- `LHS` should not occur within `RHS`.
- `LHS` should not occur within a hypothesis `hᵢ`.
-/
meta constant simp_lemmas.add (s : simp_lemmas) (e : expr) (symm : bool := false) : tactic simp_lemmas
/-- Add a simplification lemma by it's declaration name. See `simp_lemmas.add` for more information.-/
meta constant simp_lemmas.add_simp (s : simp_lemmas) (id : name) (symm : bool := false) : tactic simp_lemmas
/-- Adds a congruence simp lemma to simp_lemmas.
A congruence simp lemma is a lemma that breaks the simplification down into separate problems.
For example, to simplify `a ∧ b` to `c ∧ d`, we should try to simp `a` to `c` and `b` to `d`.
For examples of congruence simp lemmas look for lemmas with the `@[congr]` attribute.
```lean
lemma if_simp_congr ... (h_c : b ↔ c) (h_t : x = u) (h_e : y = v) : ite b x y = ite c u v := ...
lemma imp_congr_right (h : a → (b ↔ c)) : (a → b) ↔ (a → c) := ...
lemma and_congr (h₁ : a ↔ c) (h₂ : b ↔ d) : (a ∧ b) ↔ (c ∧ d) := ...
```
-/
meta constant simp_lemmas.add_congr : simp_lemmas → name → tactic simp_lemmas
/-- Add expressions to a set of simp lemmas using `simp_lemmas.add`.
This is the new version of `simp_lemmas.append`,
which also allows you to set the `symm` flag.
-/
meta def simp_lemmas.append_with_symm (s : simp_lemmas) (hs : list (expr × bool)) :
tactic simp_lemmas :=
hs.mfoldl (λ s h, simp_lemmas.add s h.fst h.snd) s
/-- Add expressions to a set of simp lemmas using `simp_lemmas.add`.
This is the backwards-compatibility version of `simp_lemmas.append_with_symm`,
and sets all `symm` flags to `ff`.
-/
meta def simp_lemmas.append (s : simp_lemmas) (hs : list expr) : tactic simp_lemmas :=
hs.mfoldl (λ s h, simp_lemmas.add s h ff) s
/-- `simp_lemmas.rewrite s e prove R` apply a simplification lemma from 's'
- 'e' is the expression to be "simplified"
- 'prove' is used to discharge proof obligations.
- 'r' is the equivalence relation being used (e.g., 'eq', 'iff')
- 'md' is the transparency; how aggresively should the simplifier perform reductions.
Result (new_e, pr) is the new expression 'new_e' and a proof (pr : e R new_e) -/
meta constant simp_lemmas.rewrite (s : simp_lemmas) (e : expr)
(prove : tactic unit := failed) (r : name := `eq) (md := reducible)
: tactic (expr × expr)
meta constant simp_lemmas.rewrites (s : simp_lemmas) (e : expr)
(prove : tactic unit := failed) (r : name := `eq) (md := reducible)
: tactic $ list (expr × expr)
/-- `simp_lemmas.drewrite s e` tries to rewrite 'e' using only refl lemmas in 's' -/
meta constant simp_lemmas.drewrite (s : simp_lemmas) (e : expr) (md := reducible) : tactic expr
meta constant is_valid_simp_lemma_cnst : name → tactic bool
meta constant is_valid_simp_lemma : expr → tactic bool
meta constant simp_lemmas.pp : simp_lemmas → tactic format
meta instance : has_to_tactic_format simp_lemmas :=
⟨simp_lemmas.pp⟩
namespace tactic
/- Remark: `transform` should not change the target. -/
/-- Revert a local constant, change its type using `transform`. -/
meta def revert_and_transform (transform : expr → tactic expr) (h : expr) : tactic unit :=
do num_reverted : ℕ ← revert h,
t ← target,
match t with
| expr.pi n bi d b :=
do h_simp ← transform d,
unsafe_change $ expr.pi n bi h_simp b
| expr.elet n g e f :=
do h_simp ← transform g,
unsafe_change $ expr.elet n h_simp e f
| _ := fail "reverting hypothesis created neither a pi nor an elet expr (unreachable?)"
end,
intron num_reverted
/-- `get_eqn_lemmas_for deps d` returns the automatically generated equational lemmas for definition d.
If deps is tt, then lemmas for automatically generated auxiliary declarations used to define d are also included. -/
meta def get_eqn_lemmas_for (deps : bool) (d : name) : tactic (list name) := do
env ← get_env,
pure $ if deps then env.get_ext_eqn_lemmas_for d else env.get_eqn_lemmas_for d
structure dsimp_config :=
(md := reducible) -- reduction mode: how aggressively constants are replaced with their definitions.
(max_steps : nat := simp.default_max_steps) -- The maximum number of steps allowed before failing.
(canonize_instances : bool := tt) -- See the documentation in `src/library/defeq_canonizer.h`
(single_pass : bool := ff) -- Visit each subterm no more than once.
(fail_if_unchanged := tt) -- Don't throw if dsimp didn't do anything.
(eta := tt) -- allow eta-equivalence: `(λ x, F $ x) ↝ F`
(zeta : bool := tt) -- do zeta-reductions: `let x : a := b in c ↝ c[x/b]`.
(beta : bool := tt) -- do beta-reductions: `(λ x, E) $ (y) ↝ E[x/y]`.
(proj : bool := tt) -- reduce projections: `⟨a,b⟩.1 ↝ a`.
(iota : bool := tt) -- reduce recursors for inductive datatypes: eg `nat.rec_on (succ n) Z R ↝ R n $ nat.rec_on n Z R`
(unfold_reducible := ff) -- if tt, definitions with `reducible` transparency will be unfolded (delta-reduced)
(memoize := tt) -- Perform caching of dsimps of subterms.
end tactic
/-- (Definitional) Simplify the given expression using *only* reflexivity equality lemmas from the given set of lemmas.
The resulting expression is definitionally equal to the input.
The list `u` contains defintions to be delta-reduced, and projections to be reduced.-/
meta constant simp_lemmas.dsimplify (s : simp_lemmas) (u : list name := []) (e : expr) (cfg : tactic.dsimp_config := {}) : tactic expr
namespace tactic
/-- Remark: the configuration parameters `cfg.md` and `cfg.eta` are ignored by this tactic. -/
meta constant dsimplify_core
/- The user state type. -/
{α : Type}
/- Initial user data -/
(a : α)
/- (pre a e) is invoked before visiting the children of subterm 'e',
if it succeeds the result (new_a, new_e, flag) where
- 'new_a' is the new value for the user data
- 'new_e' is a new expression that must be definitionally equal to 'e',
- 'flag' if tt 'new_e' children should be visited, and 'post' invoked. -/
(pre : α → expr → tactic (α × expr × bool))
/- (post a e) is invoked after visiting the children of subterm 'e',
The output is similar to (pre a e), but the 'flag' indicates whether
the new expression should be revisited or not. -/
(post : α → expr → tactic (α × expr × bool))
(e : expr)
(cfg : dsimp_config := {})
: tactic (α × expr)
meta def dsimplify
(pre : expr → tactic (expr × bool))
(post : expr → tactic (expr × bool))
: expr → tactic expr :=
λ e, do (a, new_e) ← dsimplify_core ()
(λ u e, do r ← pre e, return (u, r))
(λ u e, do r ← post e, return (u, r)) e,
return new_e
meta def get_simp_lemmas_or_default : option simp_lemmas → tactic simp_lemmas
| none := simp_lemmas.mk_default
| (some s) := return s
meta def dsimp_target (s : option simp_lemmas := none) (u : list name := []) (cfg : dsimp_config := {}) : tactic unit :=
do
s ← get_simp_lemmas_or_default s,
t ← target >>= instantiate_mvars,
s.dsimplify u t cfg >>= unsafe_change
meta def dsimp_hyp (h : expr) (s : option simp_lemmas := none) (u : list name := []) (cfg : dsimp_config := {}) : tactic unit :=
do s ← get_simp_lemmas_or_default s, revert_and_transform (λ e, s.dsimplify u e cfg) h
/- Remark: we use transparency.instances by default to make sure that we
can unfold projections of type classes. Example:
(@has_add.add nat nat.has_add a b)
-/
/-- Tries to unfold `e` if it is a constant or a constant application.
Remark: this is not a recursive procedure. -/
meta constant dunfold_head (e : expr) (md := transparency.instances) : tactic expr
structure dunfold_config extends dsimp_config :=
(md := transparency.instances)
/-! Remark: in principle, dunfold can be implemented on top of dsimp. We don't do it for
performance reasons. -/
meta constant dunfold (cs : list name) (e : expr) (cfg : dunfold_config := {}) : tactic expr
meta def dunfold_target (cs : list name) (cfg : dunfold_config := {}) : tactic unit :=
do t ← target, dunfold cs t cfg >>= unsafe_change
meta def dunfold_hyp (cs : list name) (h : expr) (cfg : dunfold_config := {}) : tactic unit :=
revert_and_transform (λ e, dunfold cs e cfg) h
structure delta_config :=
(max_steps := simp.default_max_steps)
(visit_instances := tt)
private meta def is_delta_target (e : expr) (cs : list name) : bool :=
cs.any (λ c,
if e.is_app_of c then tt /- Exact match -/
else let f := e.get_app_fn in
/- f is an auxiliary constant generated when compiling c -/
f.is_constant && f.const_name.is_internal && (f.const_name.get_prefix = c))
/-- Delta reduce the given constant names -/
meta def delta (cs : list name) (e : expr) (cfg : delta_config := {}) : tactic expr :=
let unfold (u : unit) (e : expr) : tactic (unit × expr × bool) := do
guard (is_delta_target e cs),
(expr.const f_name f_lvls) ← return e.get_app_fn,
env ← get_env,
decl ← env.get f_name,
new_f ← decl.instantiate_value_univ_params f_lvls,
new_e ← head_beta (expr.mk_app new_f e.get_app_args),
return (u, new_e, tt)
in do (c, new_e) ← dsimplify_core () (λ c e, failed) unfold e {max_steps := cfg.max_steps, canonize_instances := cfg.visit_instances},
return new_e
meta def delta_target (cs : list name) (cfg : delta_config := {}) : tactic unit :=
do t ← target, delta cs t cfg >>= unsafe_change
meta def delta_hyp (cs : list name) (h : expr) (cfg : delta_config := {}) :tactic unit :=
revert_and_transform (λ e, delta cs e cfg) h
structure unfold_proj_config extends dsimp_config :=
(md := transparency.instances)
/-- If `e` is a projection application, try to unfold it, otherwise fail. -/
meta constant unfold_proj (e : expr) (md := transparency.instances) : tactic expr
meta def unfold_projs (e : expr) (cfg : unfold_proj_config := {}) : tactic expr :=
let unfold (changed : bool) (e : expr) : tactic (bool × expr × bool) := do
new_e ← unfold_proj e cfg.md,
return (tt, new_e, tt)
in do (tt, new_e) ← dsimplify_core ff (λ c e, failed) unfold e cfg.to_dsimp_config | fail "no projections to unfold",
return new_e
meta def unfold_projs_target (cfg : unfold_proj_config := {}) : tactic unit :=
do t ← target, unfold_projs t cfg >>= unsafe_change
meta def unfold_projs_hyp (h : expr) (cfg : unfold_proj_config := {}) : tactic unit :=
revert_and_transform (λ e, unfold_projs e cfg) h
structure simp_config :=
(max_steps : nat := simp.default_max_steps)
(contextual : bool := ff)
(lift_eq : bool := tt)
(canonize_instances : bool := tt)
(canonize_proofs : bool := ff)
(use_axioms : bool := tt)
(zeta : bool := tt)
(beta : bool := tt)
(eta : bool := tt)
(proj : bool := tt) -- reduce projections
(iota : bool := tt)
(iota_eqn : bool := ff) -- reduce using all equation lemmas generated by equation/pattern-matching compiler
(constructor_eq : bool := tt)
(single_pass : bool := ff)
(fail_if_unchanged := tt)
(memoize := tt)
(trace_lemmas := ff)
/--
`simplify s e cfg r prove` simplify `e` using `s` using bottom-up traversal.
`discharger` is a tactic for dischaging new subgoals created by the simplifier.
If it fails, the simplifier tries to discharge the subgoal by simplifying it to `true`.
The parameter `to_unfold` specifies definitions that should be delta-reduced,
and projection applications that should be unfolded.
-/
meta constant simplify (s : simp_lemmas) (to_unfold : list name := []) (e : expr) (cfg : simp_config := {}) (r : name := `eq)
(discharger : tactic unit := failed) : tactic (expr × expr × name_set)
meta def simp_target (s : simp_lemmas) (to_unfold : list name := []) (cfg : simp_config := {}) (discharger : tactic unit := failed) : tactic name_set :=
do t ← target >>= instantiate_mvars,
(new_t, pr, lms) ← simplify s to_unfold t cfg `eq discharger,
replace_target new_t pr ``id_tag.simp,
return lms
meta def simp_hyp (s : simp_lemmas) (to_unfold : list name := []) (h : expr) (cfg : simp_config := {}) (discharger : tactic unit := failed) : tactic (expr × name_set) :=
do when (expr.is_local_constant h = ff) (fail "tactic simp_at failed, the given expression is not a hypothesis"),
htype ← infer_type h,
(h_new_type, pr, lms) ← simplify s to_unfold htype cfg `eq discharger,
new_hyp ← replace_hyp h h_new_type pr ``id_tag.simp,
return (new_hyp, lms)
/--
`ext_simplify_core a c s discharger pre post r e`:
- `a : α` - initial user data
- `c : simp_config` - simp configuration options
- `s : simp_lemmas` - the set of simp_lemmas to use. Remark: the simplification lemmas are not applied automatically like in the simplify tactic. The caller must use them at pre/post.
- `discharger : α → tactic α` - tactic for dischaging hypothesis in conditional rewriting rules. The argument 'α' is the current user data.
- `pre a s r p e` is invoked before visiting the children of subterm 'e'.
+ arguments:
- `a` is the current user data
- `s` is the updated set of lemmas if 'contextual' is `tt`,
- `r` is the simplification relation being used,
- `p` is the "parent" expression (if there is one).
- `e` is the current subexpression in question.
+ if it succeeds the result is `(new_a, new_e, new_pr, flag)` where
- `new_a` is the new value for the user data
- `new_e` is a new expression s.t. `r e new_e`
- `new_pr` is a proof for `r e new_e`, If it is none, the proof is assumed to be by reflexivity
- `flag` if tt `new_e` children should be visited, and `post` invoked.
- `(post a s r p e)` is invoked after visiting the children of subterm `e`,
The output is similar to `(pre a r s p e)`, but the 'flag' indicates whether the new expression should be revisited or not.
- `r` is the simplification relation. Usually `=` or `↔`.
- `e` is the input expression to be simplified.
The method returns `(a,e,pr)` where
- `a` is the final user data
- `e` is the new expression
- `pr` is the proof that the given expression equals the input expression.
Note that `ext_simplify_core` will succeed even if `pre` and `post` fail, as failures are used to indicate that the method should move on to the next subterm.
If it is desirable to propagate errors from `pre`, they can be propagated through the "user data".
An easy way to do this is to call `tactic.capture (do ...)` in the parts of `pre`/`post` where errors matter, and then use `tactic.unwrap a` on the result.
Additionally, `ext_simplify_core` does not propagate changes made to the tactic state by `pre` and `post.
If it is desirable to propagate changes to the tactic state in addition to errors, use `tactic.resume` instead of `tactic.unwrap`.
-/
meta constant ext_simplify_core
{α : Type}
(a : α)
(c : simp_config)
(s : simp_lemmas)
(discharger : α → tactic α)
(pre : α → simp_lemmas → name → option expr → expr → tactic (α × expr × option expr × bool))
(post : α → simp_lemmas → name → option expr → expr → tactic (α × expr × option expr × bool))
(r : name) :
expr → tactic (α × expr × expr)
private meta def is_equation : expr → bool
| (expr.pi n bi d b) := is_equation b
| e := match (expr.is_eq e) with (some a) := tt | none := ff end
meta def collect_ctx_simps : tactic (list expr) :=
local_context
section simp_intros
meta def intro1_aux : bool → list name → tactic expr
| ff _ := intro1
| tt (n::ns) := intro n
| _ _ := failed
structure simp_intros_config extends simp_config :=
(use_hyps := ff)
meta def simp_intros_aux (cfg : simp_config) (use_hyps : bool) (to_unfold : list name) : simp_lemmas → bool → list name → tactic simp_lemmas
| S tt [] := try (simp_target S to_unfold cfg) >> return S
| S use_ns ns := do
t ← target,
if t.is_napp_of `not 1 then
intro1_aux use_ns ns >> simp_intros_aux S use_ns ns.tail
else if t.is_arrow then
do {
d ← return t.binding_domain,
(new_d, h_d_eq_new_d, lms) ← simplify S to_unfold d cfg,
h_d ← intro1_aux use_ns ns,
h_new_d ← mk_eq_mp h_d_eq_new_d h_d,
assertv_core h_d.local_pp_name new_d h_new_d,
clear h_d,
h_new ← intro1,
new_S ← if use_hyps then mcond (is_prop new_d) (S.add h_new ff) (return S)
else return S,
simp_intros_aux new_S use_ns ns.tail
}
<|>
-- failed to simplify... we just introduce and continue
(intro1_aux use_ns ns >> simp_intros_aux S use_ns ns.tail)
else if t.is_pi || t.is_let then
intro1_aux use_ns ns >> simp_intros_aux S use_ns ns.tail
else do
new_t ← whnf t reducible,
if new_t.is_pi then unsafe_change new_t >> simp_intros_aux S use_ns ns
else
try (simp_target S to_unfold cfg) >>
mcond (expr.is_pi <$> target)
(simp_intros_aux S use_ns ns)
(if use_ns ∧ ¬ns.empty then failed else return S)
meta def simp_intros (s : simp_lemmas) (to_unfold : list name := []) (ids : list name := []) (cfg : simp_intros_config := {}) : tactic unit :=
step $ simp_intros_aux cfg.to_simp_config cfg.use_hyps to_unfold s (bnot ids.empty) ids
end simp_intros
meta def mk_eq_simp_ext (simp_ext : expr → tactic (expr × expr)) : tactic unit :=
do (lhs, rhs) ← target >>= match_eq,
(new_rhs, heq) ← simp_ext lhs,
unify rhs new_rhs,
exact heq
/-! Simp attribute support -/
meta def to_simp_lemmas : simp_lemmas → list name → tactic simp_lemmas
| S [] := return S
| S (n::ns) := do S' ← (has_attribute `congr n >> S.add_congr n) <|> S.add_simp n ff, to_simp_lemmas S' ns
meta def mk_simp_attr (attr_name : name) (attr_deps : list name := []) : command :=
do let t := `(user_attribute simp_lemmas),
let v := `({name := attr_name,
descr := "simplifier attribute",
cache_cfg := {
mk_cache := λ ns, do {
s ← tactic.to_simp_lemmas simp_lemmas.mk ns,
s ← attr_deps.mfoldl
(λ s attr_name, do
ns ← attribute.get_instances attr_name,
to_simp_lemmas s ns)
s,
return s },
dependencies := `reducibility :: attr_deps}} : user_attribute simp_lemmas),
let n := mk_simp_attr_decl_name attr_name,
add_decl (declaration.defn n [] t v reducibility_hints.abbrev ff),
attribute.register n
/--
### Example usage:
```lean
-- make a new simp attribute called "my_reduction"
run_cmd mk_simp_attr `my_reduction
-- Add "my_reduction" attributes to these if-reductions
attribute [my_reduction] if_pos if_neg dif_pos dif_neg
-- will return the simp_lemmas with the `my_reduction` attribute.
#eval get_user_simp_lemmas `my_reduction
```
-/
meta def get_user_simp_lemmas (attr_name : name) : tactic simp_lemmas :=
if attr_name = `default then simp_lemmas.mk_default
else get_attribute_cache_dyn (mk_simp_attr_decl_name attr_name)
meta def join_user_simp_lemmas_core : simp_lemmas → list name → tactic simp_lemmas
| S [] := return S
| S (attr_name::R) := do S' ← get_user_simp_lemmas attr_name, join_user_simp_lemmas_core (S.join S') R
meta def join_user_simp_lemmas (no_dflt : bool) (attrs : list name) : tactic simp_lemmas :=
do s ← simp_lemmas.mk_default,
let s := if no_dflt then s.erase_simp_lemmas else s,
join_user_simp_lemmas_core s attrs
meta def simplify_top_down {α} (a : α) (pre : α → expr → tactic (α × expr × expr)) (e : expr) (cfg : simp_config := {}) : tactic (α × expr × expr) :=
ext_simplify_core a cfg simp_lemmas.mk (λ _, failed)
(λ a _ _ _ e, do (new_a, new_e, pr) ← pre a e, guard (¬ new_e =ₐ e), return (new_a, new_e, some pr, tt))
(λ _ _ _ _ _, failed)
`eq e
meta def simp_top_down (pre : expr → tactic (expr × expr)) (cfg : simp_config := {}) : tactic unit :=
do t ← target,
(_, new_target, pr) ← simplify_top_down () (λ _ e, do (new_e, pr) ← pre e, return ((), new_e, pr)) t cfg,
replace_target new_target pr ``id_tag.simp
meta def simplify_bottom_up {α} (a : α) (post : α → expr → tactic (α × expr × expr)) (e : expr) (cfg : simp_config := {}) : tactic (α × expr × expr) :=
ext_simplify_core a cfg simp_lemmas.mk (λ _, failed)
(λ _ _ _ _ _, failed)
(λ a _ _ _ e, do (new_a, new_e, pr) ← post a e, guard (¬ new_e =ₐ e), return (new_a, new_e, some pr, tt))
`eq e
meta def simp_bottom_up (post : expr → tactic (expr × expr)) (cfg : simp_config := {}) : tactic unit :=
do t ← target,
(_, new_target, pr) ← simplify_bottom_up () (λ _ e, do (new_e, pr) ← post e, return ((), new_e, pr)) t cfg,
replace_target new_target pr ``id_tag.simp
private meta def remove_deps (s : name_set) (h : expr) : name_set :=
if s.empty then s
else h.fold s (λ e o s, if e.is_local_constant then s.erase e.local_uniq_name else s)
/-- Return the list of hypothesis that are propositions and do not have
forward dependencies. -/
meta def non_dep_prop_hyps : tactic (list expr) :=
do
ctx ← local_context,
s ← ctx.mfoldl (λ s h, do
h_type ← infer_type h,
let s := remove_deps s h_type,
h_val ← head_zeta h,
let s := if h_val =ₐ h then s else remove_deps s h_val,
mcond (is_prop h_type)
(return $ s.insert h.local_uniq_name)
(return s)) mk_name_set,
t ← target,
let s := remove_deps s t,
return $ ctx.filter (λ h, s.contains h.local_uniq_name)
section simp_all
meta structure simp_all_entry :=
(h : expr) -- hypothesis
(new_type : expr) -- new type
(pr : option expr) -- proof that type of h is equal to new_type
(s : simp_lemmas) -- simplification lemmas for simplifying new_type
private meta def update_simp_lemmas (es : list simp_all_entry) (h : expr) : tactic (list simp_all_entry) :=
es.mmap $ λ e, do new_s ← e.s.add h ff, return {s := new_s, ..e}
/-- Helper tactic for `init`.
Remark: the following tactic is quadratic on the length of list expr (the list of non dependent propositions).
We can make it more efficient as soon as we have an efficient simp_lemmas.erase. -/
private meta def init_aux : list expr → simp_lemmas → list simp_all_entry → tactic (simp_lemmas × list simp_all_entry)
| [] s r := return (s, r)
| (h::hs) s r := do
new_r ← update_simp_lemmas r h,
new_s ← s.add h ff,
h_type ← infer_type h,
init_aux hs new_s (⟨h, h_type, none, s⟩::new_r)
private meta def init (s : simp_lemmas) (hs : list expr) : tactic (simp_lemmas × list simp_all_entry) :=
init_aux hs s []
private meta def add_new_hyps (es : list simp_all_entry) : tactic unit :=
es.mmap' $ λ e,
match e.pr with
| none := return ()
| some pr :=
assert e.h.local_pp_name e.new_type >>
mk_eq_mp pr e.h >>= exact
end
private meta def clear_old_hyps (es : list simp_all_entry) : tactic unit :=
es.mmap' $ λ e, when (e.pr ≠ none) (try (clear e.h))
private meta def join_pr : option expr → expr → tactic expr
| none pr₂ := return pr₂
| (some pr₁) pr₂ := mk_eq_trans pr₁ pr₂
private meta def loop (cfg : simp_config) (discharger : tactic unit) (to_unfold : list name)
: list simp_all_entry → list simp_all_entry → simp_lemmas → bool → tactic name_set
| [] r s m :=
if m then loop r [] s ff
else do
add_new_hyps r,
(lms, target_changed) ← (simp_target s to_unfold cfg discharger >>= λ ns, return (ns, tt)) <|>
(return (mk_name_set, ff)),
guard (cfg.fail_if_unchanged = ff ∨ target_changed ∨ r.any (λ e, e.pr ≠ none)) <|> fail "simp_all tactic failed to simplify",
clear_old_hyps r,
return lms
| (e::es) r s m := do
let ⟨h, h_type, h_pr, s'⟩ := e,
(new_h_type, new_pr, lms) ← simplify s' to_unfold h_type {fail_if_unchanged := ff, ..cfg} `eq discharger,
if h_type =ₐ new_h_type then do
new_lms ← loop es (e::r) s m,
return (new_lms.fold lms (λ n ns, name_set.insert ns n))
else do
new_pr ← join_pr h_pr new_pr,
new_fact_pr ← mk_eq_mp new_pr h,
if new_h_type = `(false) then do
tgt ← target,
to_expr ``(@false.rec %%tgt %%new_fact_pr) >>= exact,
return (mk_name_set)
else do
h0_type ← infer_type h,
let new_fact_pr := mk_tagged_proof new_h_type new_fact_pr ``id_tag.simp,
new_es ← update_simp_lemmas es new_fact_pr,
new_r ← update_simp_lemmas r new_fact_pr,
let new_r := {new_type := new_h_type, pr := new_pr, ..e} :: new_r,
new_s ← s.add new_fact_pr ff,
new_lms ← loop new_es new_r new_s tt,
return (new_lms.fold lms (λ n ns, name_set.insert ns n))
meta def simp_all (s : simp_lemmas) (to_unfold : list name) (cfg : simp_config := {}) (discharger : tactic unit := failed) : tactic name_set :=
do hs ← non_dep_prop_hyps,
(s, es) ← init s hs,
loop cfg discharger to_unfold es [] s ff
end simp_all
/-! debugging support for algebraic normalizer -/
meta constant trace_algebra_info : expr → tactic unit
end tactic
export tactic (mk_simp_attr)
run_cmd mk_simp_attr `norm [`simp]
|
431af19718f40e0108071848c66872c5aa3fa78e | 8b9f17008684d796c8022dab552e42f0cb6fb347 | /library/data/list/bigop.lean | 89147bbb36838e5f88ac0574a84ff2e2f95e6bc7 | [
"Apache-2.0"
] | permissive | chubbymaggie/lean | 0d06ae25f9dd396306fb02190e89422ea94afd7b | d2c7b5c31928c98f545b16420d37842c43b4ae9a | refs/heads/master | 1,611,313,622,901 | 1,430,266,839,000 | 1,430,267,083,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 2,348 | lean | /-
Copyright (c) 2015 Leonardo de Moura. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Module: data.list.bigop
Authors: Leonardo de Moura
Big operator for lists
-/
import algebra.group data.list.comb data.list.set data.list.perm
open algebra function binary quot
namespace list
variables {A B : Type}
variable [g : group B]
include g
definition mulf (f : A → B) : B → A → B :=
λ b a, b * f a
definition bigop (l : list A) (f : A → B) : B :=
foldl (mulf f) 1 l
private theorem foldl_const (f : A → B) : ∀ (l : list A) (b : B), foldl (mulf f) b l = b * foldl (mulf f) 1 l
| [] b := by rewrite [*foldl_nil, mul_one]
| (a::l) b := by rewrite [*foldl_cons, foldl_const, {foldl _ (mulf f 1 a) _}foldl_const, ↑mulf, one_mul, mul.assoc]
theorem bigop_nil (f : A → B) : bigop [] f = 1 :=
rfl
theorem bigop_cons (f : A → B) (a : A) (l : list A) : bigop (a::l) f = f a * bigop l f :=
by rewrite [↑bigop, foldl_cons, foldl_const, ↑mulf, one_mul]
theorem bigop_append : ∀ (l₁ l₂ : list A) (f : A → B), bigop (l₁++l₂) f = bigop l₁ f * bigop l₂ f
| [] l₂ f := by rewrite [append_nil_left, bigop_nil, one_mul]
| (a::l) l₂ f := by rewrite [append_cons, *bigop_cons, bigop_append, mul.assoc]
section insert
variable [H : decidable_eq A]
include H
theorem bigop_insert_of_mem (f : A → B) {a : A} {l : list A} : a ∈ l → bigop (insert a l) f = bigop l f :=
assume ainl, by rewrite [insert_eq_of_mem ainl]
theorem bigop_insert_of_not_mem (f : A → B) {a : A} {l : list A} : a ∉ l → bigop (insert a l) f = f a * bigop l f :=
assume nainl, by rewrite [insert_eq_of_not_mem nainl, bigop_cons]
end insert
section union
variable [H : decidable_eq A]
include H
definition bigop_union {l₁ l₂ : list A} (f : A → B) (d : disjoint l₁ l₂) : bigop (union l₁ l₂) f = bigop l₁ f * bigop l₂ f :=
by rewrite [union_eq_append d, bigop_append]
end union
end list
namespace list
open perm
variables {A B : Type}
variable [g : comm_group B]
include g
theorem mulf_rcomm (f : A → B) : right_commutative (mulf f) :=
right_commutative_compose_right (@has_mul.mul B g) f (@mul.right_comm B g)
theorem bigop_of_perm (f : A → B) {l₁ l₂ : list A} : l₁ ~ l₂ → bigop l₁ f = bigop l₂ f :=
λ p, foldl_eq_of_perm (mulf_rcomm f) p 1
end list
|
eeb616fcfb2bf5a6aa572a6ae7d7e74b529cc054 | 35677d2df3f081738fa6b08138e03ee36bc33cad | /src/data/int/modeq.lean | 4518058ae396c5380c7972a8f24f2d974907768f | [
"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 | 6,052 | 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 data.int.basic data.nat.modeq
import tactic
namespace int
def modeq (n a b : ℤ) := a % n = b % n
notation a ` ≡ `:50 b ` [ZMOD `:50 n `]`:0 := modeq n a b
namespace modeq
variables {n m a b c d : ℤ}
@[refl] protected theorem refl (a : ℤ) : a ≡ a [ZMOD n] := @rfl _ _
@[symm] protected theorem symm : a ≡ b [ZMOD n] → b ≡ a [ZMOD n] := eq.symm
@[trans] protected theorem trans : a ≡ b [ZMOD n] → b ≡ c [ZMOD n] → a ≡ c [ZMOD n] := eq.trans
lemma coe_nat_modeq_iff {a b n : ℕ} : a ≡ b [ZMOD n] ↔ a ≡ b [MOD n] :=
by unfold modeq nat.modeq; rw ← int.coe_nat_eq_coe_nat_iff; simp [int.coe_nat_mod]
instance : decidable (a ≡ b [ZMOD n]) := by unfold modeq; apply_instance
theorem modeq_zero_iff : a ≡ 0 [ZMOD n] ↔ n ∣ a :=
by rw [modeq, zero_mod, dvd_iff_mod_eq_zero]
theorem modeq_iff_dvd : a ≡ b [ZMOD n] ↔ (n:ℤ) ∣ b - a :=
by rw [modeq, eq_comm];
simp [int.mod_eq_mod_iff_mod_sub_eq_zero, int.dvd_iff_mod_eq_zero, -euclidean_domain.mod_eq_zero]
theorem modeq_of_dvd_of_modeq (d : m ∣ n) (h : a ≡ b [ZMOD n]) : a ≡ b [ZMOD m] :=
modeq_iff_dvd.2 $ dvd_trans d (modeq_iff_dvd.1 h)
theorem modeq_mul_left' (hc : 0 ≤ c) (h : a ≡ b [ZMOD n]) : c * a ≡ c * b [ZMOD (c * n)] :=
or.cases_on (lt_or_eq_of_le hc) (λ hc,
by unfold modeq;
simp [mul_mod_mul_of_pos _ _ hc, (show _ = _, from h)] )
(λ hc, by simp [hc.symm])
theorem modeq_mul_right' (hc : 0 ≤ c) (h : a ≡ b [ZMOD n]) : a * c ≡ b * c [ZMOD (n * c)] :=
by rw [mul_comm a, mul_comm b, mul_comm n]; exact modeq_mul_left' hc h
theorem modeq_add (h₁ : a ≡ b [ZMOD n]) (h₂ : c ≡ d [ZMOD n]) : a + c ≡ b + d [ZMOD n] :=
modeq_iff_dvd.2 $ by {convert dvd_add (modeq_iff_dvd.1 h₁) (modeq_iff_dvd.1 h₂), ring}
theorem modeq_add_cancel_left (h₁ : a ≡ b [ZMOD n]) (h₂ : a + c ≡ b + d [ZMOD n]) : c ≡ d [ZMOD n] :=
have d - c = b + d - (a + c) - (b - a) := by ring,
modeq_iff_dvd.2 $ by { rw [this], exact dvd_sub (modeq_iff_dvd.1 h₂) (modeq_iff_dvd.1 h₁) }
theorem modeq_add_cancel_right (h₁ : c ≡ d [ZMOD n]) (h₂ : a + c ≡ b + d [ZMOD n]) : a ≡ b [ZMOD n] :=
by rw [add_comm a, add_comm b] at h₂; exact modeq_add_cancel_left h₁ h₂
theorem mod_modeq (a n) : a % n ≡ a [ZMOD n] := int.mod_mod _ _
theorem modeq_neg (h : a ≡ b [ZMOD n]) : -a ≡ -b [ZMOD n] :=
modeq_add_cancel_left h (by simp)
theorem modeq_sub (h₁ : a ≡ b [ZMOD n]) (h₂ : c ≡ d [ZMOD n]) : a - c ≡ b - d [ZMOD n] :=
by rw [sub_eq_add_neg, sub_eq_add_neg]; exact modeq_add h₁ (modeq_neg h₂)
theorem modeq_mul_left (c : ℤ) (h : a ≡ b [ZMOD n]) : c * a ≡ c * b [ZMOD n] :=
or.cases_on (le_total 0 c)
(λ hc, modeq_of_dvd_of_modeq (dvd_mul_left _ _) (modeq_mul_left' hc h))
(λ hc, by rw [← neg_neg c, ← neg_mul_eq_neg_mul, ← neg_mul_eq_neg_mul _ b];
exact modeq_neg (modeq_of_dvd_of_modeq (dvd_mul_left _ _)
(modeq_mul_left' (neg_nonneg.2 hc) h)))
theorem modeq_mul_right (c : ℤ) (h : a ≡ b [ZMOD n]) : a * c ≡ b * c [ZMOD n] :=
by rw [mul_comm a, mul_comm b]; exact modeq_mul_left c h
theorem modeq_mul (h₁ : a ≡ b [ZMOD n]) (h₂ : c ≡ d [ZMOD n]) : a * c ≡ b * d [ZMOD n] :=
(modeq_mul_left _ h₂).trans (modeq_mul_right _ h₁)
theorem modeq_of_modeq_mul_left (m : ℤ) (h : a ≡ b [ZMOD m * n]) : a ≡ b [ZMOD n] :=
by rw [modeq_iff_dvd] at *; exact dvd.trans (dvd_mul_left n m) h
theorem modeq_of_modeq_mul_right (m : ℤ) : a ≡ b [ZMOD n * m] → a ≡ b [ZMOD n] :=
mul_comm m n ▸ modeq_of_modeq_mul_left _
lemma modeq_and_modeq_iff_modeq_mul {a b m n : ℤ} (hmn : nat.coprime m.nat_abs n.nat_abs) :
a ≡ b [ZMOD m] ∧ a ≡ b [ZMOD n] ↔ (a ≡ b [ZMOD m * n]) :=
⟨λ h, begin
rw [int.modeq.modeq_iff_dvd, int.modeq.modeq_iff_dvd] at h,
rw [int.modeq.modeq_iff_dvd, ← int.nat_abs_dvd, ← int.dvd_nat_abs,
int.coe_nat_dvd, int.nat_abs_mul],
refine hmn.mul_dvd_of_dvd_of_dvd _ _;
rw [← int.coe_nat_dvd, int.nat_abs_dvd, int.dvd_nat_abs]; tauto
end,
λ h, ⟨int.modeq.modeq_of_modeq_mul_right _ h, int.modeq.modeq_of_modeq_mul_left _ h⟩⟩
lemma gcd_a_modeq (a b : ℕ) : (a : ℤ) * nat.gcd_a a b ≡ nat.gcd a b [ZMOD b] :=
by rw [← add_zero ((a : ℤ) * _), nat.gcd_eq_gcd_ab];
exact int.modeq.modeq_add rfl (int.modeq.modeq_zero_iff.2 (dvd_mul_right _ _)).symm
theorem modeq_add_fac {a b n : ℤ} (c : ℤ) (ha : a ≡ b [ZMOD n]) : a + n*c ≡ b [ZMOD n] :=
calc a + n*c ≡ b + n*c [ZMOD n] : int.modeq.modeq_add ha (int.modeq.refl _)
... ≡ b + 0 [ZMOD n] : int.modeq.modeq_add (int.modeq.refl _) (int.modeq.modeq_zero_iff.2 (dvd_mul_right _ _))
... ≡ b [ZMOD n] : by simp
open nat
lemma mod_coprime {a b : ℕ} (hab : coprime a b) : ∃ y : ℤ, a * y ≡ 1 [ZMOD b] :=
⟨ gcd_a a b,
have hgcd : nat.gcd a b = 1, from coprime.gcd_eq_one hab,
calc
↑a * gcd_a a b ≡ ↑a*gcd_a a b + ↑b*gcd_b a b [ZMOD ↑b] : int.modeq.symm $ modeq_add_fac _ $ int.modeq.refl _
... ≡ 1 [ZMOD ↑b] : by rw [←gcd_eq_gcd_ab, hgcd]; reflexivity ⟩
lemma exists_unique_equiv (a : ℤ) {b : ℤ} (hb : 0 < b) : ∃ z : ℤ, 0 ≤ z ∧ z < b ∧ z ≡ a [ZMOD b] :=
⟨ a % b, int.mod_nonneg _ (ne_of_gt hb),
have a % b < abs b, from int.mod_lt _ (ne_of_gt hb),
by rwa abs_of_pos hb at this,
by simp [int.modeq] ⟩
lemma exists_unique_equiv_nat (a : ℤ) {b : ℤ} (hb : 0 < b) : ∃ z : ℕ, ↑z < b ∧ ↑z ≡ a [ZMOD b] :=
let ⟨z, hz1, hz2, hz3⟩ := exists_unique_equiv a hb in
⟨z.nat_abs, by split; rw [←int.of_nat_eq_coe, int.of_nat_nat_abs_eq_of_nonneg hz1]; assumption⟩
end modeq
@[simp] lemma mod_mul_right_mod (a b c : ℤ) : a % (b * c) % b = a % b :=
int.modeq.modeq_of_modeq_mul_right _ (int.modeq.mod_modeq _ _)
@[simp] lemma mod_mul_left_mod (a b c : ℤ) : a % (b * c) % c = a % c :=
int.modeq.modeq_of_modeq_mul_left _ (int.modeq.mod_modeq _ _)
end int
|
ce3c8ca4e55e3485c9bda17e9800013a16e8dc76 | 4727251e0cd73359b15b664c3170e5d754078599 | /src/data/finset/fold.lean | 725e3bfd48945d09d55e723c8ecd7c452fd0d076 | [
"Apache-2.0"
] | permissive | Vierkantor/mathlib | 0ea59ac32a3a43c93c44d70f441c4ee810ccceca | 83bc3b9ce9b13910b57bda6b56222495ebd31c2f | refs/heads/master | 1,658,323,012,449 | 1,652,256,003,000 | 1,652,256,003,000 | 209,296,341 | 0 | 1 | Apache-2.0 | 1,568,807,655,000 | 1,568,807,655,000 | null | UTF-8 | Lean | false | false | 8,127 | lean | /-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import data.finset.basic
import data.multiset.fold
/-!
# The fold operation for a commutative associative operation over a finset.
-/
namespace finset
open multiset
variables {α β γ : Type*}
/-! ### fold -/
section fold
variables (op : β → β → β) [hc : is_commutative β op] [ha : is_associative β op]
local notation a * b := op a b
include hc ha
/-- `fold op b f s` folds the commutative associative operation `op` over the
`f`-image of `s`, i.e. `fold (+) b f {1,2,3} = f 1 + f 2 + f 3 + b`. -/
def fold (b : β) (f : α → β) (s : finset α) : β := (s.1.map f).fold op b
variables {op} {f : α → β} {b : β} {s : finset α} {a : α}
@[simp] theorem fold_empty : (∅ : finset α).fold op b f = b := rfl
@[simp] theorem fold_cons (h : a ∉ s) : (cons a s h).fold op b f = f a * s.fold op b f :=
by { dunfold fold, rw [cons_val, map_cons, fold_cons_left], }
@[simp] theorem fold_insert [decidable_eq α] (h : a ∉ s) :
(insert a s).fold op b f = f a * s.fold op b f :=
by unfold fold; rw [insert_val, ndinsert_of_not_mem h, map_cons, fold_cons_left]
@[simp] theorem fold_singleton : ({a} : finset α).fold op b f = f a * b := rfl
@[simp] theorem fold_map {g : γ ↪ α} {s : finset γ} :
(s.map g).fold op b f = s.fold op b (f ∘ g) :=
by simp only [fold, map, multiset.map_map]
@[simp] theorem fold_image [decidable_eq α] {g : γ → α} {s : finset γ}
(H : ∀ (x ∈ s) (y ∈ s), g x = g y → x = y) : (s.image g).fold op b f = s.fold op b (f ∘ g) :=
by simp only [fold, image_val_of_inj_on H, multiset.map_map]
@[congr] theorem fold_congr {g : α → β} (H : ∀ x ∈ s, f x = g x) : s.fold op b f = s.fold op b g :=
by rw [fold, fold, map_congr rfl H]
theorem fold_op_distrib {f g : α → β} {b₁ b₂ : β} :
s.fold op (b₁ * b₂) (λx, f x * g x) = s.fold op b₁ f * s.fold op b₂ g :=
by simp only [fold, fold_distrib]
lemma fold_const [decidable (s = ∅)] (c : β) (h : op c (op b c) = op b c) :
finset.fold op b (λ _, c) s = if s = ∅ then b else op b c :=
begin
classical,
unfreezingI { induction s using finset.induction_on with x s hx IH },
{ simp },
{ simp only [finset.fold_insert hx, IH, if_false, finset.insert_ne_empty],
split_ifs,
{ rw hc.comm },
{ exact h } }
end
theorem fold_hom {op' : γ → γ → γ} [is_commutative γ op'] [is_associative γ op']
{m : β → γ} (hm : ∀x y, m (op x y) = op' (m x) (m y)) :
s.fold op' (m b) (λx, m (f x)) = m (s.fold op b f) :=
by rw [fold, fold, ← fold_hom op hm, multiset.map_map]
theorem fold_union_inter [decidable_eq α] {s₁ s₂ : finset α} {b₁ b₂ : β} :
(s₁ ∪ s₂).fold op b₁ f * (s₁ ∩ s₂).fold op b₂ f = s₁.fold op b₂ f * s₂.fold op b₁ f :=
by unfold fold; rw [← fold_add op, ← multiset.map_add, union_val,
inter_val, union_add_inter, multiset.map_add, hc.comm, fold_add]
@[simp] theorem fold_insert_idem [decidable_eq α] [hi : is_idempotent β op] :
(insert a s).fold op b f = f a * s.fold op b f :=
begin
by_cases (a ∈ s),
{ rw [← insert_erase h], simp [← ha.assoc, hi.idempotent] },
{ apply fold_insert h },
end
theorem fold_image_idem [decidable_eq α] {g : γ → α} {s : finset γ}
[hi : is_idempotent β op] :
(image g s).fold op b f = s.fold op b (f ∘ g) :=
begin
induction s using finset.cons_induction with x xs hx ih,
{ rw [fold_empty, image_empty, fold_empty] },
{ haveI := classical.dec_eq γ,
rw [fold_cons, cons_eq_insert, image_insert, fold_insert_idem, ih], }
end
/-- A stronger version of `finset.fold_ite`, but relies on
an explicit proof of idempotency on the seed element, rather
than relying on typeclass idempotency over the whole type. -/
lemma fold_ite' {g : α → β} (hb : op b b = b)
(p : α → Prop) [decidable_pred p] :
finset.fold op b (λ i, ite (p i) (f i) (g i)) s =
op (finset.fold op b f (s.filter p)) (finset.fold op b g (s.filter (λ i, ¬ p i))) :=
begin
classical,
induction s using finset.induction_on with x s hx IH,
{ simp [hb] },
{ simp only [finset.filter_congr_decidable, finset.fold_insert hx],
split_ifs with h h,
{ have : x ∉ finset.filter p s,
{ simp [hx] },
simp [finset.filter_insert, h, finset.fold_insert this, ha.assoc, IH] },
{ have : x ∉ finset.filter (λ i, ¬ p i) s,
{ simp [hx] },
simp [finset.filter_insert, h, finset.fold_insert this, IH, ←ha.assoc, hc.comm] } }
end
/-- A weaker version of `finset.fold_ite'`,
relying on typeclass idempotency over the whole type,
instead of solely on the seed element.
However, this is easier to use because it does not generate side goals. -/
lemma fold_ite [is_idempotent β op] {g : α → β}
(p : α → Prop) [decidable_pred p] :
finset.fold op b (λ i, ite (p i) (f i) (g i)) s =
op (finset.fold op b f (s.filter p)) (finset.fold op b g (s.filter (λ i, ¬ p i))) :=
fold_ite' (is_idempotent.idempotent _) _
lemma fold_op_rel_iff_and
{r : β → β → Prop} (hr : ∀ {x y z}, r x (op y z) ↔ (r x y ∧ r x z)) {c : β} :
r c (s.fold op b f) ↔ (r c b ∧ ∀ x∈s, r c (f x)) :=
begin
classical,
apply finset.induction_on s, { simp },
clear s, intros a s ha IH,
rw [finset.fold_insert ha, hr, IH, ← and_assoc, and_comm (r c (f a)), and_assoc],
apply and_congr iff.rfl,
split,
{ rintro ⟨h₁, h₂⟩, intros b hb, rw finset.mem_insert at hb,
rcases hb with rfl|hb; solve_by_elim },
{ intro h, split,
{ exact h a (finset.mem_insert_self _ _), },
{ intros b hb, apply h b, rw finset.mem_insert, right, exact hb } }
end
lemma fold_op_rel_iff_or
{r : β → β → Prop} (hr : ∀ {x y z}, r x (op y z) ↔ (r x y ∨ r x z)) {c : β} :
r c (s.fold op b f) ↔ (r c b ∨ ∃ x∈s, r c (f x)) :=
begin
classical,
apply finset.induction_on s, { simp },
clear s, intros a s ha IH,
rw [finset.fold_insert ha, hr, IH, ← or_assoc, or_comm (r c (f a)), or_assoc],
apply or_congr iff.rfl,
split,
{ rintro (h₁|⟨x, hx, h₂⟩),
{ use a, simp [h₁] },
{ refine ⟨x, by simp [hx], h₂⟩ } },
{ rintro ⟨x, hx, h⟩,
rw mem_insert at hx, cases hx,
{ left, rwa hx at h },
{ right, exact ⟨x, hx, h⟩ } }
end
omit hc ha
@[simp]
lemma fold_union_empty_singleton [decidable_eq α] (s : finset α) :
finset.fold (∪) ∅ singleton s = s :=
begin
apply finset.induction_on s,
{ simp only [fold_empty], },
{ intros a s has ih, rw [fold_insert has, ih, insert_eq], }
end
lemma fold_sup_bot_singleton [decidable_eq α] (s : finset α) :
finset.fold (⊔) ⊥ singleton s = s :=
fold_union_empty_singleton s
section order
variables [linear_order β] (c : β)
lemma le_fold_min : c ≤ s.fold min b f ↔ (c ≤ b ∧ ∀ x∈s, c ≤ f x) :=
fold_op_rel_iff_and $ λ x y z, le_min_iff
lemma fold_min_le : s.fold min b f ≤ c ↔ (b ≤ c ∨ ∃ x∈s, f x ≤ c) :=
begin
show _ ≥ _ ↔ _,
apply fold_op_rel_iff_or,
intros x y z,
show _ ≤ _ ↔ _,
exact min_le_iff
end
lemma lt_fold_min : c < s.fold min b f ↔ (c < b ∧ ∀ x∈s, c < f x) :=
fold_op_rel_iff_and $ λ x y z, lt_min_iff
lemma fold_min_lt : s.fold min b f < c ↔ (b < c ∨ ∃ x∈s, f x < c) :=
begin
show _ > _ ↔ _,
apply fold_op_rel_iff_or,
intros x y z,
show _ < _ ↔ _,
exact min_lt_iff
end
lemma fold_max_le : s.fold max b f ≤ c ↔ (b ≤ c ∧ ∀ x∈s, f x ≤ c) :=
begin
show _ ≥ _ ↔ _,
apply fold_op_rel_iff_and,
intros x y z,
show _ ≤ _ ↔ _,
exact max_le_iff
end
lemma le_fold_max : c ≤ s.fold max b f ↔ (c ≤ b ∨ ∃ x∈s, c ≤ f x) :=
fold_op_rel_iff_or $ λ x y z, le_max_iff
lemma fold_max_lt : s.fold max b f < c ↔ (b < c ∧ ∀ x∈s, f x < c) :=
begin
show _ > _ ↔ _,
apply fold_op_rel_iff_and,
intros x y z,
show _ < _ ↔ _,
exact max_lt_iff
end
lemma lt_fold_max : c < s.fold max b f ↔ (c < b ∨ ∃ x∈s, c < f x) :=
fold_op_rel_iff_or $ λ x y z, lt_max_iff
end order
end fold
end finset
|
e29df90fad8edc28d531009a6fc79bf8d1a2a6ed | 8cae430f0a71442d02dbb1cbb14073b31048e4b0 | /src/ring_theory/ideal/operations.lean | aef44435a9b5a6370240e4c8ff14ce19ddade7f6 | [
"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 | 79,216 | 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 algebra.algebra.operations
import algebra.ring.equiv
import data.nat.choose.sum
import linear_algebra.basis.bilinear
import ring_theory.coprime.lemmas
import ring_theory.ideal.basic
import ring_theory.non_zero_divisors
/-!
# More operations on modules and ideals
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
-/
universes u v w x
open_locale big_operators pointwise
namespace submodule
variables {R : Type u} {M : Type v} {F : Type*} {G : Type*}
section comm_semiring
variables [comm_semiring R] [add_comm_monoid M] [module R M]
open_locale pointwise
instance has_smul' : has_smul (ideal R) (submodule R M) :=
⟨submodule.map₂ (linear_map.lsmul R M)⟩
/-- This duplicates the global `smul_eq_mul`, but doesn't have to unfold anywhere near as much to
apply. -/
protected lemma _root_.ideal.smul_eq_mul (I J : ideal R) : I • J = I * J := rfl
/-- `N.annihilator` is the ideal of all elements `r : R` such that `r • N = 0`. -/
def annihilator (N : submodule R M) : ideal R :=
(linear_map.lsmul R N).ker
variables {I J : ideal R} {N P : submodule R M}
theorem mem_annihilator {r} : r ∈ N.annihilator ↔ ∀ n ∈ N, r • n = (0:M) :=
⟨λ hr n hn, congr_arg subtype.val (linear_map.ext_iff.1 (linear_map.mem_ker.1 hr) ⟨n, hn⟩),
λ h, linear_map.mem_ker.2 $ linear_map.ext $ λ n, subtype.eq $ h n.1 n.2⟩
theorem mem_annihilator' {r} : r ∈ N.annihilator ↔ N ≤ comap (r • (linear_map.id : M →ₗ[R] M)) ⊥ :=
mem_annihilator.trans ⟨λ H n hn, (mem_bot R).2 $ H n hn, λ H n hn, (mem_bot R).1 $ H hn⟩
lemma mem_annihilator_span (s : set M) (r : R) :
r ∈ (submodule.span R s).annihilator ↔ ∀ n : s, r • (n : M) = 0 :=
begin
rw submodule.mem_annihilator,
split,
{ intros h n, exact h _ (submodule.subset_span n.prop) },
{ intros h n hn,
apply submodule.span_induction hn,
{ intros x hx, exact h ⟨x, hx⟩ },
{ exact smul_zero _ },
{ intros x y hx hy, rw [smul_add, hx, hy, zero_add] },
{ intros a x hx, rw [smul_comm, hx, smul_zero] } }
end
lemma mem_annihilator_span_singleton (g : M) (r : R) :
r ∈ (submodule.span R ({g} : set M)).annihilator ↔ r • g = 0 :=
by simp [mem_annihilator_span]
theorem annihilator_bot : (⊥ : submodule R M).annihilator = ⊤ :=
(ideal.eq_top_iff_one _).2 $ mem_annihilator'.2 bot_le
theorem annihilator_eq_top_iff : N.annihilator = ⊤ ↔ N = ⊥ :=
⟨λ H, eq_bot_iff.2 $ λ (n:M) hn, (mem_bot R).2 $
one_smul R n ▸ mem_annihilator.1 ((ideal.eq_top_iff_one _).1 H) n hn,
λ H, H.symm ▸ annihilator_bot⟩
theorem annihilator_mono (h : N ≤ P) : P.annihilator ≤ N.annihilator :=
λ r hrp, mem_annihilator.2 $ λ n hn, mem_annihilator.1 hrp n $ h hn
theorem annihilator_supr (ι : Sort w) (f : ι → submodule R M) :
(annihilator ⨆ i, f i) = ⨅ i, annihilator (f i) :=
le_antisymm (le_infi $ λ i, annihilator_mono $ le_supr _ _)
(λ r H, mem_annihilator'.2 $ supr_le $ λ i,
have _ := (mem_infi _).1 H i, mem_annihilator'.1 this)
theorem smul_mem_smul {r} {n} (hr : r ∈ I) (hn : n ∈ N) : r • n ∈ I • N := apply_mem_map₂ _ hr hn
theorem smul_le {P : submodule R M} : I • N ≤ P ↔ ∀ (r ∈ I) (n ∈ N), r • n ∈ P := map₂_le
@[elab_as_eliminator]
theorem smul_induction_on {p : M → Prop} {x} (H : x ∈ I • N)
(Hb : ∀ (r ∈ I) (n ∈ N), p (r • n))
(H1 : ∀ x y, p x → p y → p (x + y)) : p x :=
begin
have H0 : p 0 := by simpa only [zero_smul] using Hb 0 I.zero_mem 0 N.zero_mem,
refine submodule.supr_induction _ H _ H0 H1,
rintros ⟨i, hi⟩ m ⟨j, hj, (rfl : i • _ = m) ⟩,
exact Hb _ hi _ hj,
end
/-- Dependent version of `submodule.smul_induction_on`. -/
@[elab_as_eliminator]
theorem smul_induction_on' {x : M} (hx : x ∈ I • N)
{p : Π x, x ∈ I • N → Prop}
(Hb : ∀ (r : R) (hr : r ∈ I) (n : M) (hn : n ∈ N),
p (r • n) (smul_mem_smul hr hn))
(H1 : ∀ x hx y hy, p x hx → p y hy → p (x + y) (submodule.add_mem _ ‹_› ‹_›)) :
p x hx :=
begin
refine exists.elim _ (λ (h : x ∈ I • N) (H : p x h), H),
exact smul_induction_on hx
(λ a ha x hx, ⟨_, Hb _ ha _ hx⟩)
(λ x y ⟨_, hx⟩ ⟨_, hy⟩, ⟨_, H1 _ _ _ _ hx hy⟩),
end
theorem mem_smul_span_singleton {I : ideal R} {m : M} {x : M} :
x ∈ I • span R ({m} : set M) ↔ ∃ y ∈ I, y • m = x :=
⟨λ hx, smul_induction_on hx
(λ r hri n hnm,
let ⟨s, hs⟩ := mem_span_singleton.1 hnm in ⟨r * s, I.mul_mem_right _ hri, hs ▸ mul_smul r s m⟩)
(λ m1 m2 ⟨y1, hyi1, hy1⟩ ⟨y2, hyi2, hy2⟩,
⟨y1 + y2, I.add_mem hyi1 hyi2, by rw [add_smul, hy1, hy2]⟩),
λ ⟨y, hyi, hy⟩, hy ▸ smul_mem_smul hyi (subset_span $ set.mem_singleton m)⟩
theorem smul_le_right : I • N ≤ N :=
smul_le.2 $ λ r hr n, N.smul_mem r
theorem smul_mono (hij : I ≤ J) (hnp : N ≤ P) : I • N ≤ J • P := map₂_le_map₂ hij hnp
theorem smul_mono_left (h : I ≤ J) : I • N ≤ J • N := map₂_le_map₂_left h
theorem smul_mono_right (h : N ≤ P) : I • N ≤ I • P := map₂_le_map₂_right h
lemma map_le_smul_top (I : ideal R) (f : R →ₗ[R] M) :
submodule.map f I ≤ I • (⊤ : submodule R M) :=
begin
rintros _ ⟨y, hy, rfl⟩,
rw [← mul_one y, ← smul_eq_mul, f.map_smul],
exact smul_mem_smul hy mem_top
end
@[simp] theorem annihilator_smul (N : submodule R M) : annihilator N • N = ⊥ :=
eq_bot_iff.2 (smul_le.2 (λ r, mem_annihilator.1))
@[simp] theorem annihilator_mul (I : ideal R) : annihilator I * I = ⊥ :=
annihilator_smul I
@[simp] theorem mul_annihilator (I : ideal R) : I * annihilator I = ⊥ :=
by rw [mul_comm, annihilator_mul]
variables (I J N P)
@[simp] theorem smul_bot : I • (⊥ : submodule R M) = ⊥ := map₂_bot_right _ _
@[simp] theorem bot_smul : (⊥ : ideal R) • N = ⊥ := map₂_bot_left _ _
@[simp] theorem top_smul : (⊤ : ideal R) • N = N :=
le_antisymm smul_le_right $ λ r hri, one_smul R r ▸ smul_mem_smul mem_top hri
theorem smul_sup : I • (N ⊔ P) = I • N ⊔ I • P := map₂_sup_right _ _ _ _
theorem sup_smul : (I ⊔ J) • N = I • N ⊔ J • N := map₂_sup_left _ _ _ _
protected theorem smul_assoc : (I • J) • N = I • (J • N) :=
le_antisymm (smul_le.2 $ λ rs hrsij t htn,
smul_induction_on hrsij
(λ r hr s hs,
(@smul_eq_mul R _ r s).symm ▸ smul_smul r s t ▸ smul_mem_smul hr (smul_mem_smul hs htn))
(λ x y, (add_smul x y t).symm ▸ submodule.add_mem _))
(smul_le.2 $ λ r hr sn hsn,
suffices J • N ≤ submodule.comap (r • (linear_map.id : M →ₗ[R] M)) ((I • J) • N),
from this hsn,
smul_le.2 $ λ s hs n hn, show r • (s • n) ∈ (I • J) • N,
from mul_smul r s n ▸ smul_mem_smul (smul_mem_smul hr hs) hn)
lemma smul_inf_le (M₁ M₂ : submodule R M) : I • (M₁ ⊓ M₂) ≤ I • M₁ ⊓ I • M₂ :=
le_inf (submodule.smul_mono_right inf_le_left) (submodule.smul_mono_right inf_le_right)
lemma smul_supr {ι : Sort*} {I : ideal R} {t : ι → submodule R M} :
I • supr t = ⨆ i, I • t i :=
map₂_supr_right _ _ _
lemma smul_infi_le {ι : Sort*} {I : ideal R} {t : ι → submodule R M} :
I • infi t ≤ ⨅ i, I • t i :=
le_infi (λ i, smul_mono_right (infi_le _ _))
variables (S : set R) (T : set M)
theorem span_smul_span : (ideal.span S) • (span R T) =
span R (⋃ (s ∈ S) (t ∈ T), {s • t}) :=
(map₂_span_span _ _ _ _).trans $ congr_arg _ $ set.image2_eq_Union _ _ _
lemma ideal_span_singleton_smul (r : R) (N : submodule R M) :
(ideal.span {r} : ideal R) • N = r • N :=
begin
have : span R (⋃ (t : M) (x : t ∈ N), {r • t}) = r • N,
{ convert span_eq _, exact (set.image_eq_Union _ (N : set M)).symm },
conv_lhs { rw [← span_eq N, span_smul_span] },
simpa
end
lemma mem_of_span_top_of_smul_mem (M' : submodule R M)
(s : set R) (hs : ideal.span s = ⊤) (x : M) (H : ∀ r : s, (r : R) • x ∈ M') : x ∈ M' :=
begin
suffices : (⊤ : ideal R) • (span R ({x} : set M)) ≤ M',
{ rw top_smul at this, exact this (subset_span (set.mem_singleton x)) },
rw [← hs, span_smul_span, span_le],
simpa using H
end
/-- Given `s`, a generating set of `R`, to check that an `x : M` falls in a
submodule `M'` of `x`, we only need to show that `r ^ n • x ∈ M'` for some `n` for each `r : s`. -/
lemma mem_of_span_eq_top_of_smul_pow_mem (M' : submodule R M)
(s : set R) (hs : ideal.span s = ⊤) (x : M)
(H : ∀ r : s, ∃ (n : ℕ), (r ^ n : R) • x ∈ M') : x ∈ M' :=
begin
obtain ⟨s', hs₁, hs₂⟩ := (ideal.span_eq_top_iff_finite _).mp hs,
replace H : ∀ r : s', ∃ (n : ℕ), (r ^ n : R) • x ∈ M' := λ r, H ⟨_, hs₁ r.prop⟩,
choose n₁ n₂ using H,
let N := s'.attach.sup n₁,
have hs' := ideal.span_pow_eq_top (s' : set R) hs₂ N,
apply M'.mem_of_span_top_of_smul_mem _ hs',
rintro ⟨_, r, hr, rfl⟩,
convert M'.smul_mem (r ^ (N - n₁ ⟨r, hr⟩)) (n₂ ⟨r, hr⟩) using 1,
simp only [subtype.coe_mk, smul_smul, ← pow_add],
rw tsub_add_cancel_of_le (finset.le_sup (s'.mem_attach _) : n₁ ⟨r, hr⟩ ≤ N),
end
variables {M' : Type w} [add_comm_monoid M'] [module R M']
theorem map_smul'' (f : M →ₗ[R] M') : (I • N).map f = I • N.map f :=
le_antisymm (map_le_iff_le_comap.2 $ smul_le.2 $ λ r hr n hn, show f (r • n) ∈ I • N.map f,
from (f.map_smul r n).symm ▸ smul_mem_smul hr (mem_map_of_mem hn)) $
smul_le.2 $ λ r hr n hn, let ⟨p, hp, hfp⟩ := mem_map.1 hn in
hfp ▸ f.map_smul r p ▸ mem_map_of_mem (smul_mem_smul hr hp)
variables {I}
lemma mem_smul_span {s : set M} {x : M} :
x ∈ I • submodule.span R s ↔ x ∈ submodule.span R (⋃ (a ∈ I) (b ∈ s), ({a • b} : set M)) :=
by rw [← I.span_eq, submodule.span_smul_span, I.span_eq]; refl
variables (I)
/-- If `x` is an `I`-multiple of the submodule spanned by `f '' s`,
then we can write `x` as an `I`-linear combination of the elements of `f '' s`. -/
lemma mem_ideal_smul_span_iff_exists_sum {ι : Type*} (f : ι → M) (x : M) :
x ∈ I • span R (set.range f) ↔
∃ (a : ι →₀ R) (ha : ∀ i, a i ∈ I), a.sum (λ i c, c • f i) = x :=
begin
split, swap,
{ rintro ⟨a, ha, rfl⟩,
exact submodule.sum_mem _ (λ c _, smul_mem_smul (ha c) $ subset_span $ set.mem_range_self _) },
refine λ hx, span_induction (mem_smul_span.mp hx) _ _ _ _,
{ simp only [set.mem_Union, set.mem_range, set.mem_singleton_iff],
rintros x ⟨y, hy, x, ⟨i, rfl⟩, rfl⟩,
refine ⟨finsupp.single i y, λ j, _, _⟩,
{ letI := classical.dec_eq ι,
rw finsupp.single_apply, split_ifs, { assumption }, { exact I.zero_mem } },
refine @finsupp.sum_single_index ι R M _ _ i _ (λ i y, y • f i) _,
simp },
{ exact ⟨0, λ i, I.zero_mem, finsupp.sum_zero_index⟩ },
{ rintros x y ⟨ax, hax, rfl⟩ ⟨ay, hay, rfl⟩,
refine ⟨ax + ay, λ i, I.add_mem (hax i) (hay i), finsupp.sum_add_index' _ _⟩;
intros; simp only [zero_smul, add_smul] },
{ rintros c x ⟨a, ha, rfl⟩,
refine ⟨c • a, λ i, I.mul_mem_left c (ha i), _⟩,
rw [finsupp.sum_smul_index, finsupp.smul_sum];
intros; simp only [zero_smul, mul_smul] },
end
theorem mem_ideal_smul_span_iff_exists_sum' {ι : Type*} (s : set ι) (f : ι → M) (x : M) :
x ∈ I • span R (f '' s) ↔
∃ (a : s →₀ R) (ha : ∀ i, a i ∈ I), a.sum (λ i c, c • f i) = x :=
by rw [← submodule.mem_ideal_smul_span_iff_exists_sum, ← set.image_eq_range]
lemma mem_smul_top_iff (N : submodule R M) (x : N) :
x ∈ I • (⊤ : submodule R N) ↔ (x : M) ∈ I • N :=
begin
change _ ↔ N.subtype x ∈ I • N,
have : submodule.map N.subtype (I • ⊤) = I • N,
{ rw [submodule.map_smul'', submodule.map_top, submodule.range_subtype] },
rw ← this,
convert (function.injective.mem_set_image N.injective_subtype).symm using 1,
refl,
end
@[simp] lemma smul_comap_le_comap_smul (f : M →ₗ[R] M') (S : submodule R M') (I : ideal R) :
I • S.comap f ≤ (I • S).comap f :=
begin
refine (submodule.smul_le.mpr (λ r hr x hx, _)),
rw [submodule.mem_comap] at ⊢ hx,
rw f.map_smul,
exact submodule.smul_mem_smul hr hx
end
end comm_semiring
section comm_ring
variables [comm_ring R] [add_comm_group M] [module R M]
variables {N N₁ N₂ P P₁ P₂ : submodule R M}
/-- `N.colon P` is the ideal of all elements `r : R` such that `r • P ⊆ N`. -/
def colon (N P : submodule R M) : ideal R :=
annihilator (P.map N.mkq)
theorem mem_colon {r} : r ∈ N.colon P ↔ ∀ p ∈ P, r • p ∈ N :=
mem_annihilator.trans ⟨λ H p hp, (quotient.mk_eq_zero N).1 (H (quotient.mk p) (mem_map_of_mem hp)),
λ H m ⟨p, hp, hpm⟩, hpm ▸ (N.mkq).map_smul r p ▸ (quotient.mk_eq_zero N).2 $ H p hp⟩
theorem mem_colon' {r} : r ∈ N.colon P ↔ P ≤ comap (r • (linear_map.id : M →ₗ[R] M)) N :=
mem_colon
theorem colon_mono (hn : N₁ ≤ N₂) (hp : P₁ ≤ P₂) : N₁.colon P₂ ≤ N₂.colon P₁ :=
λ r hrnp, mem_colon.2 $ λ p₁ hp₁, hn $ mem_colon.1 hrnp p₁ $ hp hp₁
theorem infi_colon_supr (ι₁ : Sort w) (f : ι₁ → submodule R M)
(ι₂ : Sort x) (g : ι₂ → submodule R M) :
(⨅ i, f i).colon (⨆ j, g j) = ⨅ i j, (f i).colon (g j) :=
le_antisymm (le_infi $ λ i, le_infi $ λ j, colon_mono (infi_le _ _) (le_supr _ _))
(λ r H, mem_colon'.2 $ supr_le $ λ j, map_le_iff_le_comap.1 $ le_infi $ λ i,
map_le_iff_le_comap.2 $ mem_colon'.1 $ have _ := ((mem_infi _).1 H i),
have _ := ((mem_infi _).1 this j), this)
@[simp] lemma mem_colon_singleton {N : submodule R M} {x : M} {r : R} :
r ∈ N.colon (submodule.span R {x}) ↔ r • x ∈ N :=
calc r ∈ N.colon (submodule.span R {x}) ↔ ∀ (a : R), r • (a • x) ∈ N :
by simp [submodule.mem_colon, submodule.mem_span_singleton]
... ↔ r • x ∈ N :
by { simp_rw [smul_comm r]; exact set_like.forall_smul_mem_iff }
@[simp] lemma _root_.ideal.mem_colon_singleton {I : ideal R} {x r : R} :
r ∈ I.colon (ideal.span {x}) ↔ r * x ∈ I :=
by simp [← ideal.submodule_span_eq, submodule.mem_colon_singleton, smul_eq_mul]
end comm_ring
end submodule
namespace ideal
section add
variables {R : Type u} [semiring R]
@[simp] lemma add_eq_sup {I J : ideal R} : I + J = I ⊔ J := rfl
@[simp] lemma zero_eq_bot : (0 : ideal R) = ⊥ := rfl
@[simp] lemma sum_eq_sup {ι : Type*} (s : finset ι) (f : ι → ideal R) : s.sum f = s.sup f := rfl
end add
section mul_and_radical
variables {R : Type u} {ι : Type*} [comm_semiring R]
variables {I J K L : ideal R}
instance : has_mul (ideal R) := ⟨(•)⟩
@[simp] lemma one_eq_top : (1 : ideal R) = ⊤ :=
by erw [submodule.one_eq_range, linear_map.range_id]
theorem mul_mem_mul {r s} (hr : r ∈ I) (hs : s ∈ J) : r * s ∈ I * J :=
submodule.smul_mem_smul hr hs
theorem mul_mem_mul_rev {r s} (hr : r ∈ I) (hs : s ∈ J) : s * r ∈ I * J :=
mul_comm r s ▸ mul_mem_mul hr hs
lemma pow_mem_pow {x : R} (hx : x ∈ I) (n : ℕ) : x ^ n ∈ I ^ n :=
submodule.pow_mem_pow _ hx _
lemma prod_mem_prod {ι : Type*} {s : finset ι} {I : ι → ideal R} {x : ι → R} :
(∀ i ∈ s, x i ∈ I i) → ∏ i in s, x i ∈ ∏ i in s, I i :=
begin
classical,
apply finset.induction_on s,
{ intro _, rw [finset.prod_empty, finset.prod_empty, one_eq_top], exact submodule.mem_top },
{ intros a s ha IH h,
rw [finset.prod_insert ha, finset.prod_insert ha],
exact mul_mem_mul (h a $ finset.mem_insert_self a s)
(IH $ λ i hi, h i $ finset.mem_insert_of_mem hi) }
end
theorem mul_le : I * J ≤ K ↔ ∀ (r ∈ I) (s ∈ J), r * s ∈ K :=
submodule.smul_le
lemma mul_le_left : I * J ≤ J :=
ideal.mul_le.2 (λ r hr s, J.mul_mem_left _)
lemma mul_le_right : I * J ≤ I :=
ideal.mul_le.2 (λ r hr s hs, I.mul_mem_right _ hr)
@[simp] lemma sup_mul_right_self : I ⊔ (I * J) = I :=
sup_eq_left.2 ideal.mul_le_right
@[simp] lemma sup_mul_left_self : I ⊔ (J * I) = I :=
sup_eq_left.2 ideal.mul_le_left
@[simp] lemma mul_right_self_sup : (I * J) ⊔ I = I :=
sup_eq_right.2 ideal.mul_le_right
@[simp] lemma mul_left_self_sup : (J * I) ⊔ I = I :=
sup_eq_right.2 ideal.mul_le_left
variables (I J K)
protected theorem mul_comm : I * J = J * I :=
le_antisymm (mul_le.2 $ λ r hrI s hsJ, mul_mem_mul_rev hsJ hrI)
(mul_le.2 $ λ r hrJ s hsI, mul_mem_mul_rev hsI hrJ)
protected theorem mul_assoc : (I * J) * K = I * (J * K) :=
submodule.smul_assoc I J K
theorem span_mul_span (S T : set R) : span S * span T =
span ⋃ (s ∈ S) (t ∈ T), {s * t} :=
submodule.span_smul_span S T
variables {I J K}
lemma span_mul_span' (S T : set R) : span S * span T = span (S*T) :=
by { unfold span, rw submodule.span_mul_span, }
lemma span_singleton_mul_span_singleton (r s : R) :
span {r} * span {s} = (span {r * s} : ideal R) :=
by { unfold span, rw [submodule.span_mul_span, set.singleton_mul_singleton], }
lemma span_singleton_pow (s : R) (n : ℕ):
span {s} ^ n = (span {s ^ n} : ideal R) :=
begin
induction n with n ih, { simp [set.singleton_one], },
simp only [pow_succ, ih, span_singleton_mul_span_singleton],
end
lemma mem_mul_span_singleton {x y : R} {I : ideal R} :
x ∈ I * span {y} ↔ ∃ z ∈ I, z * y = x :=
submodule.mem_smul_span_singleton
lemma mem_span_singleton_mul {x y : R} {I : ideal R} :
x ∈ span {y} * I ↔ ∃ z ∈ I, y * z = x :=
by simp only [mul_comm, mem_mul_span_singleton]
lemma le_span_singleton_mul_iff {x : R} {I J : ideal R} :
I ≤ span {x} * J ↔ ∀ zI ∈ I, ∃ zJ ∈ J, x * zJ = zI :=
show (∀ {zI} (hzI : zI ∈ I), zI ∈ span {x} * J) ↔ ∀ zI ∈ I, ∃ zJ ∈ J, x * zJ = zI,
by simp only [mem_span_singleton_mul]
lemma span_singleton_mul_le_iff {x : R} {I J : ideal R} :
span {x} * I ≤ J ↔ ∀ z ∈ I, x * z ∈ J :=
begin
simp only [mul_le, mem_span_singleton_mul, mem_span_singleton],
split,
{ intros h zI hzI,
exact h x (dvd_refl x) zI hzI },
{ rintros h _ ⟨z, rfl⟩ zI hzI,
rw [mul_comm x z, mul_assoc],
exact J.mul_mem_left _ (h zI hzI) },
end
lemma span_singleton_mul_le_span_singleton_mul {x y : R} {I J : ideal R} :
span {x} * I ≤ span {y} * J ↔ ∀ zI ∈ I, ∃ zJ ∈ J, x * zI = y * zJ :=
by simp only [span_singleton_mul_le_iff, mem_span_singleton_mul, eq_comm]
lemma span_singleton_mul_right_mono [is_domain R] {x : R} (hx : x ≠ 0) :
span {x} * I ≤ span {x} * J ↔ I ≤ J :=
by simp_rw [span_singleton_mul_le_span_singleton_mul, mul_right_inj' hx, exists_prop,
exists_eq_right', set_like.le_def]
lemma span_singleton_mul_left_mono [is_domain R] {x : R} (hx : x ≠ 0) :
I * span {x} ≤ J * span {x} ↔ I ≤ J :=
by simpa only [mul_comm I, mul_comm J] using span_singleton_mul_right_mono hx
lemma span_singleton_mul_right_inj [is_domain R] {x : R} (hx : x ≠ 0) :
span {x} * I = span {x} * J ↔ I = J :=
by simp only [le_antisymm_iff, span_singleton_mul_right_mono hx]
lemma span_singleton_mul_left_inj [is_domain R] {x : R} (hx : x ≠ 0) :
I * span {x} = J * span {x} ↔ I = J :=
by simp only [le_antisymm_iff, span_singleton_mul_left_mono hx]
lemma span_singleton_mul_right_injective [is_domain R] {x : R} (hx : x ≠ 0) :
function.injective ((*) (span {x} : ideal R)) :=
λ _ _, (span_singleton_mul_right_inj hx).mp
lemma span_singleton_mul_left_injective [is_domain R] {x : R} (hx : x ≠ 0) :
function.injective (λ I : ideal R, I * span {x}) :=
λ _ _, (span_singleton_mul_left_inj hx).mp
lemma eq_span_singleton_mul {x : R} (I J : ideal R) :
I = span {x} * J ↔ ((∀ zI ∈ I, ∃ zJ ∈ J, x * zJ = zI) ∧ (∀ z ∈ J, x * z ∈ I)) :=
by simp only [le_antisymm_iff, le_span_singleton_mul_iff, span_singleton_mul_le_iff]
lemma span_singleton_mul_eq_span_singleton_mul {x y : R} (I J : ideal R) :
span {x} * I = span {y} * J ↔
((∀ zI ∈ I, ∃ zJ ∈ J, x * zI = y * zJ) ∧
(∀ zJ ∈ J, ∃ zI ∈ I, x * zI = y * zJ)) :=
by simp only [le_antisymm_iff, span_singleton_mul_le_span_singleton_mul, eq_comm]
lemma prod_span {ι : Type*} (s : finset ι) (I : ι → set R) :
(∏ i in s, ideal.span (I i)) = ideal.span (∏ i in s, I i) :=
submodule.prod_span s I
lemma prod_span_singleton {ι : Type*} (s : finset ι) (I : ι → R) :
(∏ i in s, ideal.span ({I i} : set R)) = ideal.span {∏ i in s, I i} :=
submodule.prod_span_singleton s I
@[simp] lemma multiset_prod_span_singleton (m : multiset R) :
(m.map (λ x, ideal.span {x})).prod = ideal.span ({multiset.prod m} : set R) :=
multiset.induction_on m (by simp)
(λ a m ih, by simp only [multiset.map_cons, multiset.prod_cons, ih,
← ideal.span_singleton_mul_span_singleton])
lemma finset_inf_span_singleton {ι : Type*} (s : finset ι) (I : ι → R)
(hI : set.pairwise ↑s (is_coprime on I)) :
(s.inf $ λ i, ideal.span ({I i} : set R)) = ideal.span {∏ i in s, I i} :=
begin
ext x,
simp only [submodule.mem_finset_inf, ideal.mem_span_singleton],
exact ⟨finset.prod_dvd_of_coprime hI,
λ h i hi, (finset.dvd_prod_of_mem _ hi).trans h⟩
end
lemma infi_span_singleton {ι : Type*} [fintype ι] (I : ι → R)
(hI : ∀ i j (hij : i ≠ j), is_coprime (I i) (I j)):
(⨅ i, ideal.span ({I i} : set R)) = ideal.span {∏ i, I i} :=
begin
rw [← finset.inf_univ_eq_infi, finset_inf_span_singleton],
rwa [finset.coe_univ, set.pairwise_univ]
end
lemma sup_eq_top_iff_is_coprime {R : Type*} [comm_semiring R] (x y : R) :
span ({x} : set R) ⊔ span {y} = ⊤ ↔ is_coprime x y :=
begin
rw [eq_top_iff_one, submodule.mem_sup],
split,
{ rintro ⟨u, hu, v, hv, h1⟩,
rw mem_span_singleton' at hu hv,
rw [← hu.some_spec, ← hv.some_spec] at h1,
exact ⟨_, _, h1⟩ },
{ exact λ ⟨u, v, h1⟩,
⟨_, mem_span_singleton'.mpr ⟨_, rfl⟩, _, mem_span_singleton'.mpr ⟨_, rfl⟩, h1⟩ },
end
theorem mul_le_inf : I * J ≤ I ⊓ J :=
mul_le.2 $ λ r hri s hsj, ⟨I.mul_mem_right s hri, J.mul_mem_left r hsj⟩
theorem multiset_prod_le_inf {s : multiset (ideal R)} :
s.prod ≤ s.inf :=
begin
classical, refine s.induction_on _ _,
{ rw [multiset.inf_zero], exact le_top },
intros a s ih,
rw [multiset.prod_cons, multiset.inf_cons],
exact le_trans mul_le_inf (inf_le_inf le_rfl ih)
end
theorem prod_le_inf {s : finset ι} {f : ι → ideal R} : s.prod f ≤ s.inf f :=
multiset_prod_le_inf
theorem mul_eq_inf_of_coprime (h : I ⊔ J = ⊤) : I * J = I ⊓ J :=
le_antisymm mul_le_inf $ λ r ⟨hri, hrj⟩,
let ⟨s, hsi, t, htj, hst⟩ := submodule.mem_sup.1 ((eq_top_iff_one _).1 h) in
mul_one r ▸ hst ▸ (mul_add r s t).symm ▸ ideal.add_mem (I * J) (mul_mem_mul_rev hsi hrj)
(mul_mem_mul hri htj)
lemma sup_mul_eq_of_coprime_left (h : I ⊔ J = ⊤) : I ⊔ (J * K) = I ⊔ K :=
le_antisymm (sup_le_sup_left mul_le_left _) $ λ i hi,
begin
rw eq_top_iff_one at h, rw submodule.mem_sup at h hi ⊢,
obtain ⟨i1, hi1, j, hj, h⟩ := h, obtain ⟨i', hi', k, hk, hi⟩ := hi,
refine ⟨_, add_mem hi' (mul_mem_right k _ hi1), _, mul_mem_mul hj hk, _⟩,
rw [add_assoc, ← add_mul, h, one_mul, hi]
end
lemma sup_mul_eq_of_coprime_right (h : I ⊔ K = ⊤) : I ⊔ (J * K) = I ⊔ J :=
by { rw mul_comm, exact sup_mul_eq_of_coprime_left h }
lemma mul_sup_eq_of_coprime_left (h : I ⊔ J = ⊤) : (I * K) ⊔ J = K ⊔ J :=
by { rw sup_comm at h, rw [sup_comm, sup_mul_eq_of_coprime_left h, sup_comm] }
lemma mul_sup_eq_of_coprime_right (h : K ⊔ J = ⊤) : (I * K) ⊔ J = I ⊔ J :=
by { rw sup_comm at h, rw [sup_comm, sup_mul_eq_of_coprime_right h, sup_comm] }
lemma sup_prod_eq_top {s : finset ι} {J : ι → ideal R} (h : ∀ i, i ∈ s → I ⊔ J i = ⊤) :
I ⊔ ∏ i in s, J i = ⊤ :=
finset.prod_induction _ (λ J, I ⊔ J = ⊤) (λ J K hJ hK, (sup_mul_eq_of_coprime_left hJ).trans hK)
(by rw [one_eq_top, sup_top_eq]) h
lemma sup_infi_eq_top {s : finset ι} {J : ι → ideal R} (h : ∀ i, i ∈ s → I ⊔ J i = ⊤) :
I ⊔ (⨅ i ∈ s, J i) = ⊤ :=
eq_top_iff.mpr $ le_of_eq_of_le (sup_prod_eq_top h).symm $ sup_le_sup_left
(le_of_le_of_eq prod_le_inf $ finset.inf_eq_infi _ _) _
lemma prod_sup_eq_top {s : finset ι} {J : ι → ideal R} (h : ∀ i, i ∈ s → J i ⊔ I = ⊤) :
(∏ i in s, J i) ⊔ I = ⊤ :=
sup_comm.trans (sup_prod_eq_top $ λ i hi, sup_comm.trans $ h i hi)
lemma infi_sup_eq_top {s : finset ι} {J : ι → ideal R} (h : ∀ i, i ∈ s → J i ⊔ I = ⊤) :
(⨅ i ∈ s, J i) ⊔ I = ⊤ :=
sup_comm.trans (sup_infi_eq_top $ λ i hi, sup_comm.trans $ h i hi)
lemma sup_pow_eq_top {n : ℕ} (h : I ⊔ J = ⊤) : I ⊔ (J ^ n) = ⊤ :=
by { rw [← finset.card_range n, ← finset.prod_const], exact sup_prod_eq_top (λ _ _, h) }
lemma pow_sup_eq_top {n : ℕ} (h : I ⊔ J = ⊤) : (I ^ n) ⊔ J = ⊤ :=
by { rw [← finset.card_range n, ← finset.prod_const], exact prod_sup_eq_top (λ _ _, h) }
lemma pow_sup_pow_eq_top {m n : ℕ} (h : I ⊔ J = ⊤) : (I ^ m) ⊔ (J ^ n) = ⊤ :=
sup_pow_eq_top (pow_sup_eq_top h)
variables (I)
@[simp] theorem mul_bot : I * ⊥ = ⊥ :=
submodule.smul_bot I
@[simp] theorem bot_mul : ⊥ * I = ⊥ :=
submodule.bot_smul I
@[simp] theorem mul_top : I * ⊤ = I :=
ideal.mul_comm ⊤ I ▸ submodule.top_smul I
@[simp] theorem top_mul : ⊤ * I = I :=
submodule.top_smul I
variables {I}
theorem mul_mono (hik : I ≤ K) (hjl : J ≤ L) : I * J ≤ K * L :=
submodule.smul_mono hik hjl
theorem mul_mono_left (h : I ≤ J) : I * K ≤ J * K :=
submodule.smul_mono_left h
theorem mul_mono_right (h : J ≤ K) : I * J ≤ I * K :=
submodule.smul_mono_right h
variables (I J K)
theorem mul_sup : I * (J ⊔ K) = I * J ⊔ I * K :=
submodule.smul_sup I J K
theorem sup_mul : (I ⊔ J) * K = I * K ⊔ J * K :=
submodule.sup_smul I J K
variables {I J K}
lemma pow_le_pow {m n : ℕ} (h : m ≤ n) :
I^n ≤ I^m :=
begin
cases nat.exists_eq_add_of_le h with k hk,
rw [hk, pow_add],
exact le_trans (mul_le_inf) (inf_le_left)
end
lemma pow_le_self {n : ℕ} (hn : n ≠ 0) : I^n ≤ I :=
calc I^n ≤ I ^ 1 : pow_le_pow (nat.pos_of_ne_zero hn)
... = I : pow_one _
lemma pow_mono {I J : ideal R} (e : I ≤ J) (n : ℕ) : I ^ n ≤ J ^ n :=
begin
induction n,
{ rw [pow_zero, pow_zero], exact rfl.le },
{ rw [pow_succ, pow_succ], exact ideal.mul_mono e n_ih }
end
lemma mul_eq_bot {R : Type*} [comm_semiring R] [no_zero_divisors R] {I J : ideal R} :
I * J = ⊥ ↔ I = ⊥ ∨ J = ⊥ :=
⟨λ hij, or_iff_not_imp_left.mpr (λ I_ne_bot, J.eq_bot_iff.mpr (λ j hj,
let ⟨i, hi, ne0⟩ := I.ne_bot_iff.mp I_ne_bot in
or.resolve_left (mul_eq_zero.mp ((I * J).eq_bot_iff.mp hij _ (mul_mem_mul hi hj))) ne0)),
λ h, by cases h; rw [← ideal.mul_bot, h, ideal.mul_comm]⟩
instance {R : Type*} [comm_semiring R] [no_zero_divisors R] : no_zero_divisors (ideal R) :=
{ eq_zero_or_eq_zero_of_mul_eq_zero := λ I J, mul_eq_bot.1 }
/-- A product of ideals in an integral domain is zero if and only if one of the terms is zero. -/
lemma prod_eq_bot {R : Type*} [comm_ring R] [is_domain R]
{s : multiset (ideal R)} : s.prod = ⊥ ↔ ∃ I ∈ s, I = ⊥ :=
prod_zero_iff_exists_zero
lemma span_pair_mul_span_pair (w x y z : R) :
(span {w, x} : ideal R) * span {y, z} = span {w * y, w * z, x * y, x * z} :=
by simp_rw [span_insert, sup_mul, mul_sup, span_singleton_mul_span_singleton, sup_assoc]
/-- The radical of an ideal `I` consists of the elements `r` such that `r^n ∈ I` for some `n`. -/
def radical (I : ideal R) : ideal R :=
{ carrier := { r | ∃ n : ℕ, r ^ n ∈ I },
zero_mem' := ⟨1, (pow_one (0:R)).symm ▸ I.zero_mem⟩,
add_mem' := λ x y ⟨m, hxmi⟩ ⟨n, hyni⟩, ⟨m + n,
(add_pow x y (m + n)).symm ▸ I.sum_mem $
show ∀ c ∈ finset.range (nat.succ (m + n)),
x ^ c * y ^ (m + n - c) * (nat.choose (m + n) c) ∈ I,
from λ c hc, or.cases_on (le_total c m)
(λ hcm, I.mul_mem_right _ $ I.mul_mem_left _ $ nat.add_comm n m ▸
(add_tsub_assoc_of_le hcm n).symm ▸
(pow_add y n (m-c)).symm ▸ I.mul_mem_right _ hyni)
(λ hmc, I.mul_mem_right _ $ I.mul_mem_right _ $ add_tsub_cancel_of_le hmc ▸
(pow_add x m (c-m)).symm ▸ I.mul_mem_right _ hxmi)⟩,
smul_mem' := λ r s ⟨n, hsni⟩, ⟨n, (mul_pow r s n).symm ▸ I.mul_mem_left (r^n) hsni⟩ }
/-- An ideal is radical if it contains its radical. -/
def is_radical (I : ideal R) : Prop := I.radical ≤ I
theorem le_radical : I ≤ radical I :=
λ r hri, ⟨1, (pow_one r).symm ▸ hri⟩
/-- An ideal is radical iff it is equal to its radical. -/
theorem radical_eq_iff : I.radical = I ↔ I.is_radical :=
by rw [le_antisymm_iff, and_iff_left le_radical, is_radical]
alias radical_eq_iff ↔ _ is_radical.radical
variables (R)
theorem radical_top : (radical ⊤ : ideal R) = ⊤ :=
(eq_top_iff_one _).2 ⟨0, submodule.mem_top⟩
variables {R}
theorem radical_mono (H : I ≤ J) : radical I ≤ radical J :=
λ r ⟨n, hrni⟩, ⟨n, H hrni⟩
variables (I)
theorem radical_is_radical : (radical I).is_radical :=
λ r ⟨n, k, hrnki⟩, ⟨n * k, (pow_mul r n k).symm ▸ hrnki⟩
@[simp] theorem radical_idem : radical (radical I) = radical I :=
(radical_is_radical I).radical
variables {I}
theorem is_radical.radical_le_iff (hJ : J.is_radical) : radical I ≤ J ↔ I ≤ J :=
⟨le_trans le_radical, λ h, hJ.radical ▸ radical_mono h⟩
theorem radical_le_radical_iff : radical I ≤ radical J ↔ I ≤ radical J :=
(radical_is_radical J).radical_le_iff
theorem radical_eq_top : radical I = ⊤ ↔ I = ⊤ :=
⟨λ h, (eq_top_iff_one _).2 $ let ⟨n, hn⟩ := (eq_top_iff_one _).1 h in
@one_pow R _ n ▸ hn, λ h, h.symm ▸ radical_top R⟩
theorem is_prime.is_radical (H : is_prime I) : I.is_radical :=
λ r ⟨n, hrni⟩, H.mem_of_pow_mem n hrni
theorem is_prime.radical (H : is_prime I) : radical I = I := H.is_radical.radical
variables (I J)
theorem radical_sup : radical (I ⊔ J) = radical (radical I ⊔ radical J) :=
le_antisymm (radical_mono $ sup_le_sup le_radical le_radical) $
radical_le_radical_iff.2 $ sup_le (radical_mono le_sup_left) (radical_mono le_sup_right)
theorem radical_inf : radical (I ⊓ J) = radical I ⊓ radical J :=
le_antisymm (le_inf (radical_mono inf_le_left) (radical_mono inf_le_right))
(λ r ⟨⟨m, hrm⟩, ⟨n, hrn⟩⟩, ⟨m + n, (pow_add r m n).symm ▸ I.mul_mem_right _ hrm,
(pow_add r m n).symm ▸ J.mul_mem_left _ hrn⟩)
theorem radical_mul : radical (I * J) = radical I ⊓ radical J :=
le_antisymm (radical_inf I J ▸ radical_mono $ @mul_le_inf _ _ I J)
(λ r ⟨⟨m, hrm⟩, ⟨n, hrn⟩⟩, ⟨m + n, (pow_add r m n).symm ▸ mul_mem_mul hrm hrn⟩)
variables {I J}
theorem is_prime.radical_le_iff (hJ : is_prime J) :
radical I ≤ J ↔ I ≤ J := hJ.is_radical.radical_le_iff
theorem radical_eq_Inf (I : ideal R) :
radical I = Inf { J : ideal R | I ≤ J ∧ is_prime J } :=
le_antisymm (le_Inf $ λ J hJ, hJ.2.radical_le_iff.2 hJ.1) $
λ r hr, classical.by_contradiction $ λ hri,
let ⟨m, (hrm : r ∉ radical m), him, hm⟩ := zorn_nonempty_partial_order₀
{K : ideal R | r ∉ radical K}
(λ c hc hcc y hyc, ⟨Sup c, λ ⟨n, hrnc⟩, let ⟨y, hyc, hrny⟩ :=
(submodule.mem_Sup_of_directed ⟨y, hyc⟩ hcc.directed_on).1 hrnc in hc hyc ⟨n, hrny⟩,
λ z, le_Sup⟩) I hri in
have ∀ x ∉ m, r ∈ radical (m ⊔ span {x}) := λ x hxm, classical.by_contradiction $ λ hrmx, hxm $
hm (m ⊔ span {x}) hrmx le_sup_left ▸ (le_sup_right : _ ≤ m ⊔ span {x})
(subset_span $ set.mem_singleton _),
have is_prime m, from ⟨by rintro rfl; rw radical_top at hrm; exact hrm trivial,
λ x y hxym, or_iff_not_imp_left.2 $ λ hxm, classical.by_contradiction $ λ hym,
let ⟨n, hrn⟩ := this _ hxm,
⟨p, hpm, q, hq, hpqrn⟩ := submodule.mem_sup.1 hrn,
⟨c, hcxq⟩ := mem_span_singleton'.1 hq in
let ⟨k, hrk⟩ := this _ hym,
⟨f, hfm, g, hg, hfgrk⟩ := submodule.mem_sup.1 hrk,
⟨d, hdyg⟩ := mem_span_singleton'.1 hg in
hrm ⟨n + k, by rw [pow_add, ← hpqrn, ← hcxq, ← hfgrk, ← hdyg, add_mul, mul_add (c*x),
mul_assoc c x (d*y), mul_left_comm x, ← mul_assoc];
refine m.add_mem (m.mul_mem_right _ hpm) (m.add_mem (m.mul_mem_left _ hfm)
(m.mul_mem_left _ hxym))⟩⟩,
hrm $ this.radical.symm ▸ (Inf_le ⟨him, this⟩ : Inf {J : ideal R | I ≤ J ∧ is_prime J} ≤ m) hr
lemma is_radical_bot_of_no_zero_divisors {R} [comm_semiring R] [no_zero_divisors R] :
(⊥ : ideal R).is_radical := λ x hx, hx.rec_on (λ n hn, pow_eq_zero hn)
@[simp] lemma radical_bot_of_no_zero_divisors {R : Type u} [comm_semiring R] [no_zero_divisors R] :
radical (⊥ : ideal R) = ⊥ :=
eq_bot_iff.2 is_radical_bot_of_no_zero_divisors
instance : idem_comm_semiring (ideal R) := submodule.idem_comm_semiring
variables (R)
theorem top_pow (n : ℕ) : (⊤ ^ n : ideal R) = ⊤ :=
nat.rec_on n one_eq_top $ λ n ih, by rw [pow_succ, ih, top_mul]
variables {R}
variables (I)
theorem radical_pow (n : ℕ) (H : n > 0) : radical (I^n) = radical I :=
nat.rec_on n (not.elim dec_trivial) (λ n ih H,
or.cases_on (lt_or_eq_of_le $ nat.le_of_lt_succ H)
(λ H, calc radical (I^(n+1))
= radical I ⊓ radical (I^n) : by { rw pow_succ, exact radical_mul _ _ }
... = radical I ⊓ radical I : by rw ih H
... = radical I : inf_idem)
(λ H, H ▸ (pow_one I).symm ▸ rfl)) H
theorem is_prime.mul_le {I J P : ideal R} (hp : is_prime P) :
I * J ≤ P ↔ I ≤ P ∨ J ≤ P :=
⟨λ h, or_iff_not_imp_left.2 $ λ hip j hj, let ⟨i, hi, hip⟩ := set.not_subset.1 hip in
(hp.mem_or_mem $ h $ mul_mem_mul hi hj).resolve_left hip,
λ h, or.cases_on h (le_trans $ le_trans mul_le_inf inf_le_left)
(le_trans $ le_trans mul_le_inf inf_le_right)⟩
theorem is_prime.inf_le {I J P : ideal R} (hp : is_prime P) :
I ⊓ J ≤ P ↔ I ≤ P ∨ J ≤ P :=
⟨λ h, hp.mul_le.1 $ le_trans mul_le_inf h,
λ h, or.cases_on h (le_trans inf_le_left) (le_trans inf_le_right)⟩
theorem is_prime.multiset_prod_le {s : multiset (ideal R)} {P : ideal R}
(hp : is_prime P) (hne : s ≠ 0) :
s.prod ≤ P ↔ ∃ I ∈ s, I ≤ P :=
suffices s.prod ≤ P → ∃ I ∈ s, I ≤ P,
from ⟨this, λ ⟨i, his, hip⟩, le_trans multiset_prod_le_inf $
le_trans (multiset.inf_le his) hip⟩,
begin
classical,
obtain ⟨b, hb⟩ : ∃ b, b ∈ s := multiset.exists_mem_of_ne_zero hne,
obtain ⟨t, rfl⟩ : ∃ t, s = b ::ₘ t,
from ⟨s.erase b, (multiset.cons_erase hb).symm⟩,
refine t.induction_on _ _,
{ simp only [exists_prop, multiset.cons_zero, multiset.prod_singleton,
multiset.mem_singleton, exists_eq_left, imp_self] },
intros a s ih h,
rw [multiset.cons_swap, multiset.prod_cons, hp.mul_le] at h,
rw multiset.cons_swap,
cases h,
{ exact ⟨a, multiset.mem_cons_self a _, h⟩ },
obtain ⟨I, hI, ih⟩ : ∃ I ∈ b ::ₘ s, I ≤ P := ih h,
exact ⟨I, multiset.mem_cons_of_mem hI, ih⟩
end
theorem is_prime.multiset_prod_map_le {s : multiset ι} (f : ι → ideal R) {P : ideal R}
(hp : is_prime P) (hne : s ≠ 0) :
(s.map f).prod ≤ P ↔ ∃ i ∈ s, f i ≤ P :=
begin
rw hp.multiset_prod_le (mt multiset.map_eq_zero.mp hne),
simp_rw [exists_prop, multiset.mem_map, exists_exists_and_eq_and],
end
theorem is_prime.prod_le {s : finset ι} {f : ι → ideal R} {P : ideal R}
(hp : is_prime P) (hne : s.nonempty) :
s.prod f ≤ P ↔ ∃ i ∈ s, f i ≤ P :=
hp.multiset_prod_map_le f (mt finset.val_eq_zero.mp hne.ne_empty)
theorem is_prime.inf_le' {s : finset ι} {f : ι → ideal R} {P : ideal R} (hp : is_prime P)
(hsne: s.nonempty) :
s.inf f ≤ P ↔ ∃ i ∈ s, f i ≤ P :=
⟨λ h, (hp.prod_le hsne).1 $ le_trans prod_le_inf h,
λ ⟨i, his, hip⟩, le_trans (finset.inf_le his) hip⟩
theorem subset_union {R : Type u} [ring R] {I J K : ideal R} :
(I : set R) ⊆ J ∪ K ↔ I ≤ J ∨ I ≤ K :=
⟨λ h, or_iff_not_imp_left.2 $ λ hij s hsi,
let ⟨r, hri, hrj⟩ := set.not_subset.1 hij in classical.by_contradiction $ λ hsk,
or.cases_on (h $ I.add_mem hri hsi)
(λ hj, hrj $ add_sub_cancel r s ▸ J.sub_mem hj ((h hsi).resolve_right hsk))
(λ hk, hsk $ add_sub_cancel' r s ▸ K.sub_mem hk ((h hri).resolve_left hrj)),
λ h, or.cases_on h (λ h, set.subset.trans h $ set.subset_union_left J K)
(λ h, set.subset.trans h $ set.subset_union_right J K)⟩
theorem subset_union_prime' {R : Type u} [comm_ring R] {s : finset ι} {f : ι → ideal R} {a b : ι}
(hp : ∀ i ∈ s, is_prime (f i)) {I : ideal R} :
(I : set R) ⊆ f a ∪ f b ∪ (⋃ i ∈ (↑s : set ι), f i) ↔ I ≤ f a ∨ I ≤ f b ∨ ∃ i ∈ s, I ≤ f i :=
suffices (I : set R) ⊆ f a ∪ f b ∪ (⋃ i ∈ (↑s : set ι), f i) →
I ≤ f a ∨ I ≤ f b ∨ ∃ i ∈ s, I ≤ f i,
from ⟨this, λ h, or.cases_on h (λ h, set.subset.trans h $ set.subset.trans
(set.subset_union_left _ _) (set.subset_union_left _ _)) $
λ h, or.cases_on h (λ h, set.subset.trans h $ set.subset.trans
(set.subset_union_right _ _) (set.subset_union_left _ _)) $
λ ⟨i, his, hi⟩, by refine (set.subset.trans hi $ set.subset.trans _ $
set.subset_union_right _ _);
exact set.subset_bUnion_of_mem (finset.mem_coe.2 his)⟩,
begin
generalize hn : s.card = n, intros h,
unfreezingI { induction n with n ih generalizing a b s },
{ clear hp,
rw finset.card_eq_zero at hn, subst hn,
rw [finset.coe_empty, set.bUnion_empty, set.union_empty, subset_union] at h,
simpa only [exists_prop, finset.not_mem_empty, false_and, exists_false, or_false] },
classical,
replace hn : ∃ (i : ι) (t : finset ι), i ∉ t ∧ insert i t = s ∧ t.card = n :=
finset.card_eq_succ.1 hn,
unfreezingI { rcases hn with ⟨i, t, hit, rfl, hn⟩ },
replace hp : is_prime (f i) ∧ ∀ x ∈ t, is_prime (f x) := (t.forall_mem_insert _ _).1 hp,
by_cases Ht : ∃ j ∈ t, f j ≤ f i,
{ obtain ⟨j, hjt, hfji⟩ : ∃ j ∈ t, f j ≤ f i := Ht,
obtain ⟨u, hju, rfl⟩ : ∃ u, j ∉ u ∧ insert j u = t,
{ exact ⟨t.erase j, t.not_mem_erase j, finset.insert_erase hjt⟩ },
have hp' : ∀ k ∈ insert i u, is_prime (f k),
{ rw finset.forall_mem_insert at hp ⊢, exact ⟨hp.1, hp.2.2⟩ },
have hiu : i ∉ u := mt finset.mem_insert_of_mem hit,
have hn' : (insert i u).card = n,
{ rwa finset.card_insert_of_not_mem at hn ⊢, exacts [hiu, hju] },
have h' : (I : set R) ⊆ f a ∪ f b ∪ (⋃ k ∈ (↑(insert i u) : set ι), f k),
{ rw finset.coe_insert at h ⊢, rw finset.coe_insert at h,
simp only [set.bUnion_insert] at h ⊢,
rw [← set.union_assoc ↑(f i)] at h,
erw [set.union_eq_self_of_subset_right hfji] at h,
exact h },
specialize @ih a b (insert i u) hp' hn' h',
refine ih.imp id (or.imp id (exists_imp_exists $ λ k, _)), simp only [exists_prop],
exact and.imp (λ hk, finset.insert_subset_insert i (finset.subset_insert j u) hk) id },
by_cases Ha : f a ≤ f i,
{ have h' : (I : set R) ⊆ f i ∪ f b ∪ (⋃ j ∈ (↑t : set ι), f j),
{ rw [finset.coe_insert, set.bUnion_insert, ← set.union_assoc,
set.union_right_comm ↑(f a)] at h,
erw [set.union_eq_self_of_subset_left Ha] at h,
exact h },
specialize @ih i b t hp.2 hn h', right,
rcases ih with ih | ih | ⟨k, hkt, ih⟩,
{ exact or.inr ⟨i, finset.mem_insert_self i t, ih⟩ },
{ exact or.inl ih },
{ exact or.inr ⟨k, finset.mem_insert_of_mem hkt, ih⟩ } },
by_cases Hb : f b ≤ f i,
{ have h' : (I : set R) ⊆ f a ∪ f i ∪ (⋃ j ∈ (↑t : set ι), f j),
{ rw [finset.coe_insert, set.bUnion_insert, ← set.union_assoc, set.union_assoc ↑(f a)] at h,
erw [set.union_eq_self_of_subset_left Hb] at h,
exact h },
specialize @ih a i t hp.2 hn h',
rcases ih with ih | ih | ⟨k, hkt, ih⟩,
{ exact or.inl ih },
{ exact or.inr (or.inr ⟨i, finset.mem_insert_self i t, ih⟩) },
{ exact or.inr (or.inr ⟨k, finset.mem_insert_of_mem hkt, ih⟩) } },
by_cases Hi : I ≤ f i,
{ exact or.inr (or.inr ⟨i, finset.mem_insert_self i t, Hi⟩) },
have : ¬I ⊓ f a ⊓ f b ⊓ t.inf f ≤ f i,
{ rcases t.eq_empty_or_nonempty with (rfl | hsne),
{ rw [finset.inf_empty, inf_top_eq, hp.1.inf_le, hp.1.inf_le, not_or_distrib, not_or_distrib],
exact ⟨⟨Hi, Ha⟩, Hb⟩ },
simp only [hp.1.inf_le, hp.1.inf_le' hsne, not_or_distrib],
exact ⟨⟨⟨Hi, Ha⟩, Hb⟩, Ht⟩ },
rcases set.not_subset.1 this with ⟨r, ⟨⟨⟨hrI, hra⟩, hrb⟩, hr⟩, hri⟩,
by_cases HI : (I : set R) ⊆ f a ∪ f b ∪ ⋃ j ∈ (↑t : set ι), f j,
{ specialize ih hp.2 hn HI, rcases ih with ih | ih | ⟨k, hkt, ih⟩,
{ left, exact ih }, { right, left, exact ih },
{ right, right, exact ⟨k, finset.mem_insert_of_mem hkt, ih⟩ } },
exfalso, rcases set.not_subset.1 HI with ⟨s, hsI, hs⟩,
rw [finset.coe_insert, set.bUnion_insert] at h,
have hsi : s ∈ f i := ((h hsI).resolve_left (mt or.inl hs)).resolve_right (mt or.inr hs),
rcases h (I.add_mem hrI hsI) with ⟨ha | hb⟩ | hi | ht,
{ exact hs (or.inl $ or.inl $ add_sub_cancel' r s ▸ (f a).sub_mem ha hra) },
{ exact hs (or.inl $ or.inr $ add_sub_cancel' r s ▸ (f b).sub_mem hb hrb) },
{ exact hri (add_sub_cancel r s ▸ (f i).sub_mem hi hsi) },
{ rw set.mem_Union₂ at ht, rcases ht with ⟨j, hjt, hj⟩,
simp only [finset.inf_eq_infi, set_like.mem_coe, submodule.mem_infi] at hr,
exact hs (or.inr $ set.mem_bUnion hjt $ add_sub_cancel' r s ▸ (f j).sub_mem hj $ hr j hjt) }
end
/-- Prime avoidance. Atiyah-Macdonald 1.11, Eisenbud 3.3, Stacks 00DS, Matsumura Ex.1.6. -/
theorem subset_union_prime {R : Type u} [comm_ring R] {s : finset ι} {f : ι → ideal R} (a b : ι)
(hp : ∀ i ∈ s, i ≠ a → i ≠ b → is_prime (f i)) {I : ideal R} :
(I : set R) ⊆ (⋃ i ∈ (↑s : set ι), f i) ↔ ∃ i ∈ s, I ≤ f i :=
suffices (I : set R) ⊆ (⋃ i ∈ (↑s : set ι), f i) → ∃ i, i ∈ s ∧ I ≤ f i,
from ⟨λ h, bex_def.2 $ this h, λ ⟨i, his, hi⟩, set.subset.trans hi $ set.subset_bUnion_of_mem $
show i ∈ (↑s : set ι), from his⟩,
assume h : (I : set R) ⊆ (⋃ i ∈ (↑s : set ι), f i),
begin
classical,
by_cases has : a ∈ s,
{ unfreezingI { obtain ⟨t, hat, rfl⟩ : ∃ t, a ∉ t ∧ insert a t = s :=
⟨s.erase a, finset.not_mem_erase a s, finset.insert_erase has⟩ },
by_cases hbt : b ∈ t,
{ unfreezingI { obtain ⟨u, hbu, rfl⟩ : ∃ u, b ∉ u ∧ insert b u = t :=
⟨t.erase b, finset.not_mem_erase b t, finset.insert_erase hbt⟩ },
have hp' : ∀ i ∈ u, is_prime (f i),
{ intros i hiu, refine hp i (finset.mem_insert_of_mem (finset.mem_insert_of_mem hiu)) _ _;
unfreezingI { rintro rfl }; solve_by_elim only [finset.mem_insert_of_mem, *], },
rw [finset.coe_insert, finset.coe_insert, set.bUnion_insert, set.bUnion_insert,
← set.union_assoc, subset_union_prime' hp', bex_def] at h,
rwa [finset.exists_mem_insert, finset.exists_mem_insert] },
{ have hp' : ∀ j ∈ t, is_prime (f j),
{ intros j hj, refine hp j (finset.mem_insert_of_mem hj) _ _;
unfreezingI { rintro rfl }; solve_by_elim only [finset.mem_insert_of_mem, *], },
rw [finset.coe_insert, set.bUnion_insert, ← set.union_self (f a : set R),
subset_union_prime' hp', ← or_assoc, or_self, bex_def] at h,
rwa finset.exists_mem_insert } },
{ by_cases hbs : b ∈ s,
{ unfreezingI { obtain ⟨t, hbt, rfl⟩ : ∃ t, b ∉ t ∧ insert b t = s :=
⟨s.erase b, finset.not_mem_erase b s, finset.insert_erase hbs⟩ },
have hp' : ∀ j ∈ t, is_prime (f j),
{ intros j hj, refine hp j (finset.mem_insert_of_mem hj) _ _;
unfreezingI { rintro rfl }; solve_by_elim only [finset.mem_insert_of_mem, *], },
rw [finset.coe_insert, set.bUnion_insert, ← set.union_self (f b : set R),
subset_union_prime' hp', ← or_assoc, or_self, bex_def] at h,
rwa finset.exists_mem_insert },
cases s.eq_empty_or_nonempty with hse hsne,
{ substI hse, rw [finset.coe_empty, set.bUnion_empty, set.subset_empty_iff] at h,
have : (I : set R) ≠ ∅ := set.nonempty.ne_empty (set.nonempty_of_mem I.zero_mem),
exact absurd h this },
{ cases hsne.bex with i his,
unfreezingI { obtain ⟨t, hit, rfl⟩ : ∃ t, i ∉ t ∧ insert i t = s :=
⟨s.erase i, finset.not_mem_erase i s, finset.insert_erase his⟩ },
have hp' : ∀ j ∈ t, is_prime (f j),
{ intros j hj, refine hp j (finset.mem_insert_of_mem hj) _ _;
unfreezingI { rintro rfl }; solve_by_elim only [finset.mem_insert_of_mem, *], },
rw [finset.coe_insert, set.bUnion_insert, ← set.union_self (f i : set R),
subset_union_prime' hp', ← or_assoc, or_self, bex_def] at h,
rwa finset.exists_mem_insert } }
end
section dvd
/-- If `I` divides `J`, then `I` contains `J`.
In a Dedekind domain, to divide and contain are equivalent, see `ideal.dvd_iff_le`.
-/
lemma le_of_dvd {I J : ideal R} : I ∣ J → J ≤ I
| ⟨K, h⟩ := h.symm ▸ le_trans mul_le_inf inf_le_left
lemma is_unit_iff {I : ideal R} :
is_unit I ↔ I = ⊤ :=
is_unit_iff_dvd_one.trans ((@one_eq_top R _).symm ▸
⟨λ h, eq_top_iff.mpr (ideal.le_of_dvd h), λ h, ⟨⊤, by rw [mul_top, h]⟩⟩)
instance unique_units : unique ((ideal R)ˣ) :=
{ default := 1,
uniq := λ u, units.ext
(show (u : ideal R) = 1, by rw [is_unit_iff.mp u.is_unit, one_eq_top]) }
end dvd
end mul_and_radical
section map_and_comap
variables {R : Type u} {S : Type v}
section semiring
variables {F : Type*} [semiring R] [semiring S]
variables [rc : ring_hom_class F R S]
variables (f : F)
variables {I J : ideal R} {K L : ideal S}
include rc
/-- `I.map f` is the span of the image of the ideal `I` under `f`, which may be bigger than
the image itself. -/
def map (I : ideal R) : ideal S :=
span (f '' I)
/-- `I.comap f` is the preimage of `I` under `f`. -/
def comap (I : ideal S) : ideal R :=
{ carrier := f ⁻¹' I,
add_mem' := λ x y hx hy, by simp only [set.mem_preimage, set_like.mem_coe,
map_add, add_mem hx hy] at *,
zero_mem' := by simp only [set.mem_preimage, map_zero, set_like.mem_coe, submodule.zero_mem],
smul_mem' := λ c x hx, by { simp only [smul_eq_mul, set.mem_preimage, map_mul,
set_like.mem_coe] at *,
exact mul_mem_left I _ hx } }
variables {f}
theorem map_mono (h : I ≤ J) : map f I ≤ map f J :=
span_mono $ set.image_subset _ h
theorem mem_map_of_mem (f : F) {I : ideal R} {x : R} (h : x ∈ I) : f x ∈ map f I :=
subset_span ⟨x, h, rfl⟩
lemma apply_coe_mem_map (f : F) (I : ideal R) (x : I) : f x ∈ I.map f :=
mem_map_of_mem f x.prop
theorem map_le_iff_le_comap :
map f I ≤ K ↔ I ≤ comap f K :=
span_le.trans set.image_subset_iff
@[simp] theorem mem_comap {x} : x ∈ comap f K ↔ f x ∈ K := iff.rfl
theorem comap_mono (h : K ≤ L) : comap f K ≤ comap f L :=
set.preimage_mono (λ x hx, h hx)
variables (f)
theorem comap_ne_top (hK : K ≠ ⊤) : comap f K ≠ ⊤ :=
(ne_top_iff_one _).2 $ by rw [mem_comap, map_one];
exact (ne_top_iff_one _).1 hK
variables {G : Type*} [rcg : ring_hom_class G S R]
include rcg
lemma map_le_comap_of_inv_on (g : G) (I : ideal R) (hf : set.left_inv_on g f I) :
I.map f ≤ I.comap g :=
begin
refine ideal.span_le.2 _,
rintros x ⟨x, hx, rfl⟩,
rw [set_like.mem_coe, mem_comap, hf hx],
exact hx,
end
lemma comap_le_map_of_inv_on (g : G) (I : ideal S) (hf : set.left_inv_on g f (f ⁻¹' I)) :
I.comap f ≤ I.map g :=
λ x (hx : f x ∈ I), hf hx ▸ ideal.mem_map_of_mem g hx
/-- The `ideal` version of `set.image_subset_preimage_of_inverse`. -/
lemma map_le_comap_of_inverse (g : G) (I : ideal R) (h : function.left_inverse g f) :
I.map f ≤ I.comap g :=
map_le_comap_of_inv_on _ _ _ $ h.left_inv_on _
/-- The `ideal` version of `set.preimage_subset_image_of_inverse`. -/
lemma comap_le_map_of_inverse (g : G) (I : ideal S) (h : function.left_inverse g f) :
I.comap f ≤ I.map g :=
comap_le_map_of_inv_on _ _ _ $ h.left_inv_on _
omit rcg
instance is_prime.comap [hK : K.is_prime] : (comap f K).is_prime :=
⟨comap_ne_top _ hK.1, λ x y,
by simp only [mem_comap, map_mul]; apply hK.2⟩
variables (I J K L)
theorem map_top : map f ⊤ = ⊤ :=
(eq_top_iff_one _).2 $ subset_span ⟨1, trivial, map_one f⟩
variable (f)
lemma gc_map_comap : galois_connection (ideal.map f) (ideal.comap f) :=
λ I J, ideal.map_le_iff_le_comap
omit rc
@[simp] lemma comap_id : I.comap (ring_hom.id R) = I :=
ideal.ext $ λ _, iff.rfl
@[simp] lemma map_id : I.map (ring_hom.id R) = I :=
(gc_map_comap (ring_hom.id R)).l_unique galois_connection.id comap_id
lemma comap_comap {T : Type*} [semiring T] {I : ideal T} (f : R →+* S)
(g : S →+* T) : (I.comap g).comap f = I.comap (g.comp f) := rfl
lemma map_map {T : Type*} [semiring T] {I : ideal R} (f : R →+* S)
(g : S →+* T) : (I.map f).map g = I.map (g.comp f) :=
((gc_map_comap f).compose (gc_map_comap g)).l_unique
(gc_map_comap (g.comp f)) (λ _, comap_comap _ _)
include rc
lemma map_span (f : F) (s : set R) :
map f (span s) = span (f '' s) :=
symm $ submodule.span_eq_of_le _
(λ y ⟨x, hy, x_eq⟩, x_eq ▸ mem_map_of_mem f (subset_span hy))
(map_le_iff_le_comap.2 $ span_le.2 $ set.image_subset_iff.1 subset_span)
variables {f I J K L}
lemma map_le_of_le_comap : I ≤ K.comap f → I.map f ≤ K :=
(gc_map_comap f).l_le
lemma le_comap_of_map_le : I.map f ≤ K → I ≤ K.comap f :=
(gc_map_comap f).le_u
lemma le_comap_map : I ≤ (I.map f).comap f :=
(gc_map_comap f).le_u_l _
lemma map_comap_le : (K.comap f).map f ≤ K :=
(gc_map_comap f).l_u_le _
@[simp] lemma comap_top : (⊤ : ideal S).comap f = ⊤ :=
(gc_map_comap f).u_top
@[simp] lemma comap_eq_top_iff {I : ideal S} : I.comap f = ⊤ ↔ I = ⊤ :=
⟨ λ h, I.eq_top_iff_one.mpr (map_one f ▸ mem_comap.mp ((I.comap f).eq_top_iff_one.mp h)),
λ h, by rw [h, comap_top] ⟩
@[simp] lemma map_bot : (⊥ : ideal R).map f = ⊥ :=
(gc_map_comap f).l_bot
variables (f I J K L)
@[simp] lemma map_comap_map : ((I.map f).comap f).map f = I.map f :=
(gc_map_comap f).l_u_l_eq_l I
@[simp] lemma comap_map_comap : ((K.comap f).map f).comap f = K.comap f :=
(gc_map_comap f).u_l_u_eq_u K
lemma map_sup : (I ⊔ J).map f = I.map f ⊔ J.map f :=
(gc_map_comap f : galois_connection (map f) (comap f)).l_sup
theorem comap_inf : comap f (K ⊓ L) = comap f K ⊓ comap f L := rfl
variables {ι : Sort*}
lemma map_supr (K : ι → ideal R) : (supr K).map f = ⨆ i, (K i).map f :=
(gc_map_comap f : galois_connection (map f) (comap f)).l_supr
lemma comap_infi (K : ι → ideal S) : (infi K).comap f = ⨅ i, (K i).comap f :=
(gc_map_comap f : galois_connection (map f) (comap f)).u_infi
lemma map_Sup (s : set (ideal R)): (Sup s).map f = ⨆ I ∈ s, (I : ideal R).map f :=
(gc_map_comap f : galois_connection (map f) (comap f)).l_Sup
lemma comap_Inf (s : set (ideal S)): (Inf s).comap f = ⨅ I ∈ s, (I : ideal S).comap f :=
(gc_map_comap f : galois_connection (map f) (comap f)).u_Inf
lemma comap_Inf' (s : set (ideal S)) : (Inf s).comap f = ⨅ I ∈ (comap f '' s), I :=
trans (comap_Inf f s) (by rw infi_image)
theorem comap_is_prime [H : is_prime K] : is_prime (comap f K) :=
⟨comap_ne_top f H.ne_top,
λ x y h, H.mem_or_mem $ by rwa [mem_comap, map_mul] at h⟩
variables {I J K L}
theorem map_inf_le : map f (I ⊓ J) ≤ map f I ⊓ map f J :=
(gc_map_comap f : galois_connection (map f) (comap f)).monotone_l.map_inf_le _ _
theorem le_comap_sup : comap f K ⊔ comap f L ≤ comap f (K ⊔ L) :=
(gc_map_comap f : galois_connection (map f) (comap f)).monotone_u.le_map_sup _ _
omit rc
@[simp] lemma smul_top_eq_map {R S : Type*} [comm_semiring R] [comm_semiring S] [algebra R S]
(I : ideal R) : I • (⊤ : submodule R S) = (I.map (algebra_map R S)).restrict_scalars R :=
begin
refine le_antisymm (submodule.smul_le.mpr (λ r hr y _, _) )
(λ x hx, submodule.span_induction hx _ _ _ _),
{ rw algebra.smul_def,
exact mul_mem_right _ _ (mem_map_of_mem _ hr) },
{ rintros _ ⟨x, hx, rfl⟩,
rw [← mul_one (algebra_map R S x), ← algebra.smul_def],
exact submodule.smul_mem_smul hx submodule.mem_top },
{ exact submodule.zero_mem _ },
{ intros x y, exact submodule.add_mem _ },
intros a x hx,
refine submodule.smul_induction_on hx _ _,
{ intros r hr s hs,
rw smul_comm,
exact submodule.smul_mem_smul hr submodule.mem_top },
{ intros x y hx hy,
rw smul_add, exact submodule.add_mem _ hx hy },
end
@[simp] lemma coe_restrict_scalars {R S : Type*} [comm_semiring R] [semiring S] [algebra R S]
(I : ideal S) : ((I.restrict_scalars R) : set S) = ↑I :=
rfl
/-- The smallest `S`-submodule that contains all `x ∈ I * y ∈ J`
is also the smallest `R`-submodule that does so. -/
@[simp] lemma restrict_scalars_mul {R S : Type*} [comm_semiring R] [comm_semiring S] [algebra R S]
(I J : ideal S) : (I * J).restrict_scalars R = I.restrict_scalars R * J.restrict_scalars R :=
le_antisymm (λ x hx, submodule.mul_induction_on hx
(λ x hx y hy, submodule.mul_mem_mul hx hy)
(λ x y, submodule.add_mem _))
(submodule.mul_le.mpr (λ x hx y hy, ideal.mul_mem_mul hx hy))
section surjective
variables (hf : function.surjective f)
include hf
open function
theorem map_comap_of_surjective (I : ideal S) :
map f (comap f I) = I :=
le_antisymm (map_le_iff_le_comap.2 le_rfl)
(λ s hsi, let ⟨r, hfrs⟩ := hf s in
hfrs ▸ (mem_map_of_mem f $ show f r ∈ I, from hfrs.symm ▸ hsi))
/-- `map` and `comap` are adjoint, and the composition `map f ∘ comap f` is the
identity -/
def gi_map_comap : galois_insertion (map f) (comap f) :=
galois_insertion.monotone_intro
((gc_map_comap f).monotone_u)
((gc_map_comap f).monotone_l)
(λ _, le_comap_map)
(map_comap_of_surjective _ hf)
lemma map_surjective_of_surjective : surjective (map f) :=
(gi_map_comap f hf).l_surjective
lemma comap_injective_of_surjective : injective (comap f) :=
(gi_map_comap f hf).u_injective
lemma map_sup_comap_of_surjective (I J : ideal S) : (I.comap f ⊔ J.comap f).map f = I ⊔ J :=
(gi_map_comap f hf).l_sup_u _ _
lemma map_supr_comap_of_surjective (K : ι → ideal S) : (⨆i, (K i).comap f).map f = supr K :=
(gi_map_comap f hf).l_supr_u _
lemma map_inf_comap_of_surjective (I J : ideal S) : (I.comap f ⊓ J.comap f).map f = I ⊓ J :=
(gi_map_comap f hf).l_inf_u _ _
lemma map_infi_comap_of_surjective (K : ι → ideal S) : (⨅i, (K i).comap f).map f = infi K :=
(gi_map_comap f hf).l_infi_u _
theorem mem_image_of_mem_map_of_surjective {I : ideal R} {y}
(H : y ∈ map f I) : y ∈ f '' I :=
submodule.span_induction H (λ _, id) ⟨0, I.zero_mem, map_zero f⟩
(λ y1 y2 ⟨x1, hx1i, hxy1⟩ ⟨x2, hx2i, hxy2⟩,
⟨x1 + x2, I.add_mem hx1i hx2i, hxy1 ▸ hxy2 ▸ map_add f _ _⟩)
(λ c y ⟨x, hxi, hxy⟩,
let ⟨d, hdc⟩ := hf c in ⟨d * x, I.mul_mem_left _ hxi, hdc ▸ hxy ▸ map_mul f _ _⟩)
lemma mem_map_iff_of_surjective {I : ideal R} {y} :
y ∈ map f I ↔ ∃ x, x ∈ I ∧ f x = y :=
⟨λ h, (set.mem_image _ _ _).2 (mem_image_of_mem_map_of_surjective f hf h),
λ ⟨x, hx⟩, hx.right ▸ (mem_map_of_mem f hx.left)⟩
lemma le_map_of_comap_le_of_surjective : comap f K ≤ I → K ≤ map f I :=
λ h, (map_comap_of_surjective f hf K) ▸ map_mono h
omit hf
lemma map_eq_submodule_map (f : R →+* S) [h : ring_hom_surjective f] (I : ideal R) :
I.map f = submodule.map f.to_semilinear_map I :=
submodule.ext (λ x, mem_map_iff_of_surjective f h.1)
end surjective
section injective
variables (hf : function.injective f)
include hf
lemma comap_bot_le_of_injective : comap f ⊥ ≤ I :=
begin
refine le_trans (λ x hx, _) bot_le,
rw [mem_comap, submodule.mem_bot, ← map_zero f] at hx,
exact eq.symm (hf hx) ▸ (submodule.zero_mem ⊥)
end
lemma comap_bot_of_injective : ideal.comap f ⊥ = ⊥ :=
le_bot_iff.mp (ideal.comap_bot_le_of_injective f hf)
end injective
end semiring
section ring
variables {F : Type*} [ring R] [ring S]
variables [ring_hom_class F R S] (f : F) {I : ideal R}
section surjective
variables (hf : function.surjective f)
include hf
theorem comap_map_of_surjective (I : ideal R) : comap f (map f I) = I ⊔ comap f ⊥ :=
le_antisymm (assume r h, let ⟨s, hsi, hfsr⟩ := mem_image_of_mem_map_of_surjective f hf h in
submodule.mem_sup.2 ⟨s, hsi, r - s, (submodule.mem_bot S).2 $ by rw [map_sub, hfsr, sub_self],
add_sub_cancel'_right s r⟩)
(sup_le (map_le_iff_le_comap.1 le_rfl) (comap_mono bot_le))
/-- Correspondence theorem -/
def rel_iso_of_surjective : ideal S ≃o { p : ideal R // comap f ⊥ ≤ p } :=
{ to_fun := λ J, ⟨comap f J, comap_mono bot_le⟩,
inv_fun := λ I, map f I.1,
left_inv := λ J, map_comap_of_surjective f hf J,
right_inv := λ I, subtype.eq $ show comap f (map f I.1) = I.1,
from (comap_map_of_surjective f hf I).symm ▸ le_antisymm
(sup_le le_rfl I.2) le_sup_left,
map_rel_iff' := λ I1 I2, ⟨λ H, map_comap_of_surjective f hf I1 ▸
map_comap_of_surjective f hf I2 ▸ map_mono H, comap_mono⟩ }
/-- The map on ideals induced by a surjective map preserves inclusion. -/
def order_embedding_of_surjective : ideal S ↪o ideal R :=
(rel_iso_of_surjective f hf).to_rel_embedding.trans (subtype.rel_embedding _ _)
theorem map_eq_top_or_is_maximal_of_surjective {I : ideal R} (H : is_maximal I) :
(map f I) = ⊤ ∨ is_maximal (map f I) :=
begin
refine or_iff_not_imp_left.2 (λ ne_top, ⟨⟨λ h, ne_top h, λ J hJ, _⟩⟩),
{ refine (rel_iso_of_surjective f hf).injective
(subtype.ext_iff.2 (eq.trans (H.1.2 (comap f J) (lt_of_le_of_ne _ _)) comap_top.symm)),
{ exact (map_le_iff_le_comap).1 (le_of_lt hJ) },
{ exact λ h, hJ.right (le_map_of_comap_le_of_surjective f hf (le_of_eq h.symm)) } }
end
theorem comap_is_maximal_of_surjective {K : ideal S} [H : is_maximal K] : is_maximal (comap f K) :=
begin
refine ⟨⟨comap_ne_top _ H.1.1, λ J hJ, _⟩⟩,
suffices : map f J = ⊤,
{ replace this := congr_arg (comap f) this,
rw [comap_top, comap_map_of_surjective _ hf, eq_top_iff] at this,
rw eq_top_iff,
exact le_trans this (sup_le (le_of_eq rfl) (le_trans (comap_mono (bot_le)) (le_of_lt hJ))) },
refine H.1.2 (map f J) (lt_of_le_of_ne (le_map_of_comap_le_of_surjective _ hf (le_of_lt hJ))
(λ h, ne_of_lt hJ (trans (congr_arg (comap f) h) _))),
rw [comap_map_of_surjective _ hf, sup_eq_left],
exact le_trans (comap_mono bot_le) (le_of_lt hJ)
end
theorem comap_le_comap_iff_of_surjective (I J : ideal S) : comap f I ≤ comap f J ↔ I ≤ J :=
⟨λ h, (map_comap_of_surjective f hf I).symm.le.trans (map_le_of_le_comap h),
λ h, le_comap_of_map_le ((map_comap_of_surjective f hf I).le.trans h)⟩
end surjective
/-- If `f : R ≃+* S` is a ring isomorphism and `I : ideal R`, then `map f (map f.symm) = I`. -/
@[simp]
lemma map_of_equiv (I : ideal R) (f : R ≃+* S) : (I.map (f : R →+* S)).map (f.symm : S →+* R) = I :=
by simp [← ring_equiv.to_ring_hom_eq_coe, map_map]
/-- If `f : R ≃+* S` is a ring isomorphism and `I : ideal R`, then `comap f.symm (comap f) = I`. -/
@[simp]
lemma comap_of_equiv (I : ideal R) (f : R ≃+* S) :
(I.comap (f.symm : S →+* R)).comap (f : R →+* S) = I :=
by simp [← ring_equiv.to_ring_hom_eq_coe, comap_comap]
/-- If `f : R ≃+* S` is a ring isomorphism and `I : ideal R`, then `map f I = comap f.symm I`. -/
lemma map_comap_of_equiv (I : ideal R) (f : R ≃+* S) : I.map (f : R →+* S) = I.comap f.symm :=
le_antisymm (le_comap_of_map_le (map_of_equiv I f).le)
(le_map_of_comap_le_of_surjective _ f.surjective (comap_of_equiv I f).le)
section bijective
variables (hf : function.bijective f)
include hf
/-- Special case of the correspondence theorem for isomorphic rings -/
def rel_iso_of_bijective : ideal S ≃o ideal R :=
{ to_fun := comap f,
inv_fun := map f,
left_inv := (rel_iso_of_surjective f hf.right).left_inv,
right_inv := λ J, subtype.ext_iff.1
((rel_iso_of_surjective f hf.right).right_inv ⟨J, comap_bot_le_of_injective f hf.left⟩),
map_rel_iff' := λ _ _, (rel_iso_of_surjective f hf.right).map_rel_iff' }
lemma comap_le_iff_le_map {I : ideal R} {K : ideal S} : comap f K ≤ I ↔ K ≤ map f I :=
⟨λ h, le_map_of_comap_le_of_surjective f hf.right h,
λ h, ((rel_iso_of_bijective f hf).right_inv I) ▸ comap_mono h⟩
theorem map.is_maximal {I : ideal R} (H : is_maximal I) : is_maximal (map f I) :=
by refine or_iff_not_imp_left.1
(map_eq_top_or_is_maximal_of_surjective f hf.right H) (λ h, H.1.1 _);
calc I = comap f (map f I) : ((rel_iso_of_bijective f hf).right_inv I).symm
... = comap f ⊤ : by rw h
... = ⊤ : by rw comap_top
end bijective
lemma ring_equiv.bot_maximal_iff (e : R ≃+* S) :
(⊥ : ideal R).is_maximal ↔ (⊥ : ideal S).is_maximal :=
⟨λ h, (@map_bot _ _ _ _ _ _ e.to_ring_hom) ▸ map.is_maximal e.to_ring_hom e.bijective h,
λ h, (@map_bot _ _ _ _ _ _ e.symm.to_ring_hom) ▸ map.is_maximal e.symm.to_ring_hom
e.symm.bijective h⟩
end ring
section comm_ring
variables {F : Type*} [comm_ring R] [comm_ring S]
variables [rc : ring_hom_class F R S]
variables (f : F)
variables {I J : ideal R} {K L : ideal S}
variables (I J K L)
include rc
theorem map_mul : map f (I * J) = map f I * map f J :=
le_antisymm (map_le_iff_le_comap.2 $ mul_le.2 $ λ r hri s hsj,
show f (r * s) ∈ _, by rw map_mul;
exact mul_mem_mul (mem_map_of_mem f hri) (mem_map_of_mem f hsj))
(trans_rel_right _ (span_mul_span _ _) $ span_le.2 $
set.Union₂_subset $ λ i ⟨r, hri, hfri⟩,
set.Union₂_subset $ λ j ⟨s, hsj, hfsj⟩,
set.singleton_subset_iff.2 $ hfri ▸ hfsj ▸
by rw [← map_mul];
exact mem_map_of_mem f (mul_mem_mul hri hsj))
/-- The pushforward `ideal.map` as a monoid-with-zero homomorphism. -/
@[simps]
def map_hom : ideal R →*₀ ideal S :=
{ to_fun := map f,
map_mul' := λ I J, ideal.map_mul f I J,
map_one' := by convert ideal.map_top f; exact one_eq_top,
map_zero' := ideal.map_bot }
protected theorem map_pow (n : ℕ) : map f (I^n) = (map f I)^n :=
map_pow (map_hom f) I n
theorem comap_radical : comap f (radical K) = radical (comap f K) :=
by { ext, simpa only [radical, mem_comap, map_pow] }
variable {K}
theorem is_radical.comap (hK : K.is_radical) : (comap f K).is_radical :=
by { rw [←hK.radical, comap_radical], apply radical_is_radical }
variables {I J L}
theorem map_radical_le : map f (radical I) ≤ radical (map f I) :=
map_le_iff_le_comap.2 $ λ r ⟨n, hrni⟩, ⟨n, map_pow f r n ▸ mem_map_of_mem f hrni⟩
theorem le_comap_mul : comap f K * comap f L ≤ comap f (K * L) :=
map_le_iff_le_comap.1 $ (map_mul f (comap f K) (comap f L)).symm ▸
mul_mono (map_le_iff_le_comap.2 $ le_rfl) (map_le_iff_le_comap.2 $ le_rfl)
lemma le_comap_pow (n : ℕ) :
(K.comap f) ^ n ≤ (K ^ n).comap f :=
begin
induction n,
{ rw [pow_zero, pow_zero, ideal.one_eq_top, ideal.one_eq_top], exact rfl.le },
{ rw [pow_succ, pow_succ], exact (ideal.mul_mono_right n_ih).trans (ideal.le_comap_mul f) }
end
omit rc
end comm_ring
end map_and_comap
section is_primary
variables {R : Type u} [comm_semiring R]
/-- A proper ideal `I` is primary iff `xy ∈ I` implies `x ∈ I` or `y ∈ radical I`. -/
def is_primary (I : ideal R) : Prop :=
I ≠ ⊤ ∧ ∀ {x y : R}, x * y ∈ I → x ∈ I ∨ y ∈ radical I
theorem is_prime.is_primary {I : ideal R} (hi : is_prime I) : is_primary I :=
⟨hi.1, λ x y hxy, (hi.mem_or_mem hxy).imp id $ λ hyi, le_radical hyi⟩
theorem mem_radical_of_pow_mem {I : ideal R} {x : R} {m : ℕ} (hx : x ^ m ∈ radical I) :
x ∈ radical I :=
radical_idem I ▸ ⟨m, hx⟩
theorem is_prime_radical {I : ideal R} (hi : is_primary I) : is_prime (radical I) :=
⟨mt radical_eq_top.1 hi.1, λ x y ⟨m, hxy⟩, begin
rw mul_pow at hxy, cases hi.2 hxy,
{ exact or.inl ⟨m, h⟩ },
{ exact or.inr (mem_radical_of_pow_mem h) }
end⟩
theorem is_primary_inf {I J : ideal R} (hi : is_primary I) (hj : is_primary J)
(hij : radical I = radical J) : is_primary (I ⊓ J) :=
⟨ne_of_lt $ lt_of_le_of_lt inf_le_left (lt_top_iff_ne_top.2 hi.1), λ x y ⟨hxyi, hxyj⟩,
begin
rw [radical_inf, hij, inf_idem],
cases hi.2 hxyi with hxi hyi, cases hj.2 hxyj with hxj hyj,
{ exact or.inl ⟨hxi, hxj⟩ },
{ exact or.inr hyj },
{ rw hij at hyi, exact or.inr hyi }
end⟩
end is_primary
section total
variables (ι : Type*)
variables (M : Type*) [add_comm_group M] {R : Type*} [comm_ring R] [module R M] (I : ideal R)
variables (v : ι → M) (hv : submodule.span R (set.range v) = ⊤)
open_locale big_operators
/-- A variant of `finsupp.total` that takes in vectors valued in `I`. -/
noncomputable
def finsupp_total : (ι →₀ I) →ₗ[R] M :=
(finsupp.total ι M R v).comp (finsupp.map_range.linear_map I.subtype)
variables {ι M v}
lemma finsupp_total_apply (f : ι →₀ I) :
finsupp_total ι M I v f = f.sum (λ i x, (x : R) • v i) :=
begin
dsimp [finsupp_total],
rw [finsupp.total_apply, finsupp.sum_map_range_index],
exact λ _, zero_smul _ _
end
lemma finsupp_total_apply_eq_of_fintype [fintype ι] (f : ι →₀ I) :
finsupp_total ι M I v f = ∑ i, (f i : R) • v i :=
by { rw [finsupp_total_apply, finsupp.sum_fintype], exact λ _, zero_smul _ _ }
lemma range_finsupp_total :
(finsupp_total ι M I v).range = I • (submodule.span R (set.range v)) :=
begin
ext,
rw submodule.mem_ideal_smul_span_iff_exists_sum,
refine ⟨λ ⟨f, h⟩, ⟨finsupp.map_range.linear_map I.subtype f, λ i, (f i).2, h⟩, _⟩,
rintro ⟨a, ha, rfl⟩,
classical,
refine ⟨a.map_range (λ r, if h : r ∈ I then ⟨r, h⟩ else 0) (by split_ifs; refl), _⟩,
rw [finsupp_total_apply, finsupp.sum_map_range_index],
{ apply finsupp.sum_congr, intros i _, rw dif_pos (ha i), refl },
{ exact λ _, zero_smul _ _ },
end
end total
section basis
variables {ι R S : Type*} [comm_semiring R] [comm_ring S] [is_domain S] [algebra R S]
/-- A basis on `S` gives a basis on `ideal.span {x}`, by multiplying everything by `x`. -/
noncomputable def basis_span_singleton (b : basis ι R S) {x : S} (hx : x ≠ 0) :
basis ι R (span ({x} : set S)) :=
b.map $ ((linear_equiv.of_injective (algebra.lmul R S x) (linear_map.mul_injective hx)) ≪≫ₗ
(linear_equiv.of_eq _ _ (by { ext, simp [mem_span_singleton', mul_comm] })) ≪≫ₗ
((submodule.restrict_scalars_equiv R S S (ideal.span ({x} : set S))).restrict_scalars R))
@[simp] lemma basis_span_singleton_apply (b : basis ι R S) {x : S} (hx : x ≠ 0) (i : ι) :
(basis_span_singleton b hx i : S) = x * b i :=
begin
simp only [basis_span_singleton, basis.map_apply, linear_equiv.trans_apply,
submodule.restrict_scalars_equiv_apply, linear_equiv.of_injective_apply,
linear_equiv.coe_of_eq_apply, linear_equiv.restrict_scalars_apply,
algebra.coe_lmul_eq_mul, linear_map.mul_apply']
end
@[simp] lemma constr_basis_span_singleton
{N : Type*} [semiring N] [module N S] [smul_comm_class R N S]
(b : basis ι R S) {x : S} (hx : x ≠ 0) :
b.constr N (coe ∘ basis_span_singleton b hx) = algebra.lmul R S x :=
b.ext (λ i, by erw [basis.constr_basis, function.comp_app, basis_span_singleton_apply,
linear_map.mul_apply'])
end basis
end ideal
lemma associates.mk_ne_zero' {R : Type*} [comm_semiring R] {r : R} :
(associates.mk (ideal.span {r} : ideal R)) ≠ 0 ↔ (r ≠ 0):=
by rw [associates.mk_ne_zero, ideal.zero_eq_bot, ne.def, ideal.span_singleton_eq_bot]
/-- If `I : ideal S` has a basis over `R`,
`x ∈ I` iff it is a linear combination of basis vectors. -/
lemma basis.mem_ideal_iff {ι R S : Type*} [comm_ring R] [comm_ring S] [algebra R S]
{I : ideal S} (b : basis ι R I) {x : S} :
x ∈ I ↔ ∃ (c : ι →₀ R), x = finsupp.sum c (λ i x, x • b i) :=
(b.map ((I.restrict_scalars_equiv R _ _).restrict_scalars R).symm).mem_submodule_iff
/-- If `I : ideal S` has a finite basis over `R`,
`x ∈ I` iff it is a linear combination of basis vectors. -/
lemma basis.mem_ideal_iff' {ι R S : Type*} [fintype ι] [comm_ring R] [comm_ring S] [algebra R S]
{I : ideal S} (b : basis ι R I) {x : S} :
x ∈ I ↔ ∃ (c : ι → R), x = ∑ i, c i • b i :=
(b.map ((I.restrict_scalars_equiv R _ _).restrict_scalars R).symm).mem_submodule_iff'
namespace ring_hom
variables {R : Type u} {S : Type v} {T : Type w}
section semiring
variables {F : Type*} {G : Type*} [semiring R] [semiring S] [semiring T]
variables [rcf : ring_hom_class F R S] [rcg : ring_hom_class G T S]
(f : F) (g : G)
include rcf
/-- Kernel of a ring homomorphism as an ideal of the domain. -/
def ker : ideal R := ideal.comap f ⊥
/-- An element is in the kernel if and only if it maps to zero.-/
lemma mem_ker {r} : r ∈ ker f ↔ f r = 0 :=
by rw [ker, ideal.mem_comap, submodule.mem_bot]
lemma ker_eq : ((ker f) : set R) = set.preimage f {0} := rfl
lemma ker_eq_comap_bot (f : F) : ker f = ideal.comap f ⊥ := rfl
omit rcf
lemma comap_ker (f : S →+* R) (g : T →+* S) : f.ker.comap g = (f.comp g).ker :=
by rw [ring_hom.ker_eq_comap_bot, ideal.comap_comap, ring_hom.ker_eq_comap_bot]
include rcf
/-- If the target is not the zero ring, then one is not in the kernel.-/
lemma not_one_mem_ker [nontrivial S] (f : F) : (1:R) ∉ ker f :=
by { rw [mem_ker, map_one], exact one_ne_zero }
lemma ker_ne_top [nontrivial S] (f : F) : ker f ≠ ⊤ :=
(ideal.ne_top_iff_one _).mpr $ not_one_mem_ker f
omit rcf
end semiring
section ring
variables {F : Type*} [ring R] [semiring S] [rc : ring_hom_class F R S] (f : F)
include rc
lemma injective_iff_ker_eq_bot : function.injective f ↔ ker f = ⊥ :=
by { rw [set_like.ext'_iff, ker_eq, set.ext_iff], exact injective_iff_map_eq_zero' f }
lemma ker_eq_bot_iff_eq_zero : ker f = ⊥ ↔ ∀ x, f x = 0 → x = 0 :=
by { rw [← injective_iff_map_eq_zero f, injective_iff_ker_eq_bot] }
omit rc
@[simp] lemma ker_coe_equiv (f : R ≃+* S) :
ker (f : R →+* S) = ⊥ :=
by simpa only [←injective_iff_ker_eq_bot] using equiv_like.injective f
@[simp] lemma ker_equiv {F' : Type*} [ring_equiv_class F' R S] (f : F') :
ker f = ⊥ :=
by simpa only [←injective_iff_ker_eq_bot] using equiv_like.injective f
end ring
section ring_ring
variables {F : Type*} [ring R] [ring S] [rc : ring_hom_class F R S] (f : F)
include rc
theorem sub_mem_ker_iff {x y} : x - y ∈ ker f ↔ f x = f y :=
by rw [mem_ker, map_sub, sub_eq_zero]
end ring_ring
/-- The kernel of a homomorphism to a domain is a prime ideal. -/
lemma ker_is_prime {F : Type*} [ring R] [ring S] [is_domain S] [ring_hom_class F R S]
(f : F) : (ker f).is_prime :=
⟨by { rw [ne.def, ideal.eq_top_iff_one], exact not_one_mem_ker f },
λ x y, by simpa only [mem_ker, map_mul] using @eq_zero_or_eq_zero_of_mul_eq_zero S _ _ _ _ _⟩
/-- The kernel of a homomorphism to a field is a maximal ideal. -/
lemma ker_is_maximal_of_surjective {R K F : Type*} [ring R] [field K] [ring_hom_class F R K]
(f : F) (hf : function.surjective f) :
(ker f).is_maximal :=
begin
refine ideal.is_maximal_iff.mpr
⟨λ h1, one_ne_zero' K $ map_one f ▸ (mem_ker f).mp h1,
λ J x hJ hxf hxJ, _⟩,
obtain ⟨y, hy⟩ := hf (f x)⁻¹,
have H : 1 = y * x - (y * x - 1) := (sub_sub_cancel _ _).symm,
rw H,
refine J.sub_mem (J.mul_mem_left _ hxJ) (hJ _),
rw mem_ker,
simp only [hy, map_sub, map_one, map_mul,
inv_mul_cancel (mt (mem_ker f).mpr hxf), sub_self],
end
end ring_hom
namespace ideal
variables {R : Type*} {S : Type*} {F : Type*}
section semiring
variables [semiring R] [semiring S] [rc : ring_hom_class F R S]
include rc
lemma map_eq_bot_iff_le_ker {I : ideal R} (f : F) : I.map f = ⊥ ↔ I ≤ (ring_hom.ker f) :=
by rw [ring_hom.ker, eq_bot_iff, map_le_iff_le_comap]
lemma ker_le_comap {K : ideal S} (f : F) : ring_hom.ker f ≤ comap f K :=
λ x hx, mem_comap.2 (((ring_hom.mem_ker f).1 hx).symm ▸ K.zero_mem)
end semiring
section ring
variables [ring R] [ring S] [rc : ring_hom_class F R S]
include rc
lemma map_Inf {A : set (ideal R)} {f : F} (hf : function.surjective f) :
(∀ J ∈ A, ring_hom.ker f ≤ J) → map f (Inf A) = Inf (map f '' A) :=
begin
refine λ h, le_antisymm (le_Inf _) _,
{ intros j hj y hy,
cases (mem_map_iff_of_surjective f hf).1 hy with x hx,
cases (set.mem_image _ _ _).mp hj with J hJ,
rw [← hJ.right, ← hx.right],
exact mem_map_of_mem f (Inf_le_of_le hJ.left (le_of_eq rfl) hx.left) },
{ intros y hy,
cases hf y with x hx,
refine hx ▸ (mem_map_of_mem f _),
have : ∀ I ∈ A, y ∈ map f I, by simpa using hy,
rw [submodule.mem_Inf],
intros J hJ,
rcases (mem_map_iff_of_surjective f hf).1 (this J hJ) with ⟨x', hx', rfl⟩,
have : x - x' ∈ J,
{ apply h J hJ,
rw [ring_hom.mem_ker, map_sub, hx, sub_self] },
simpa only [sub_add_cancel] using J.add_mem this hx' }
end
theorem map_is_prime_of_surjective {f : F} (hf : function.surjective f) {I : ideal R}
[H : is_prime I] (hk : ring_hom.ker f ≤ I) : is_prime (map f I) :=
begin
refine ⟨λ h, H.ne_top (eq_top_iff.2 _), λ x y, _⟩,
{ replace h := congr_arg (comap f) h,
rw [comap_map_of_surjective _ hf, comap_top] at h,
exact h ▸ sup_le (le_of_eq rfl) hk },
{ refine λ hxy, (hf x).rec_on (λ a ha, (hf y).rec_on (λ b hb, _)),
rw [← ha, ← hb, ← _root_.map_mul f, mem_map_iff_of_surjective _ hf] at hxy,
rcases hxy with ⟨c, hc, hc'⟩,
rw [← sub_eq_zero, ← map_sub] at hc',
have : a * b ∈ I,
{ convert I.sub_mem hc (hk (hc' : c - a * b ∈ ring_hom.ker f)),
abel },
exact (H.mem_or_mem this).imp (λ h, ha ▸ mem_map_of_mem f h) (λ h, hb ▸ mem_map_of_mem f h) }
end
lemma map_eq_bot_iff_of_injective {I : ideal R} {f : F} (hf : function.injective f) :
I.map f = ⊥ ↔ I = ⊥ :=
by rw [map_eq_bot_iff_le_ker, (ring_hom.injective_iff_ker_eq_bot f).mp hf, le_bot_iff]
omit rc
theorem map_is_prime_of_equiv {F' : Type*} [ring_equiv_class F' R S]
(f : F') {I : ideal R} [is_prime I] :
is_prime (map f I) :=
map_is_prime_of_surjective (equiv_like.surjective f) $ by simp only [ring_hom.ker_equiv, bot_le]
end ring
section comm_ring
variables [comm_ring R] [comm_ring S]
theorem map_eq_iff_sup_ker_eq_of_surjective {I J : ideal R} (f : R →+* S)
(hf : function.surjective f) : map f I = map f J ↔ I ⊔ f.ker = J ⊔ f.ker :=
by rw [← (comap_injective_of_surjective f hf).eq_iff, comap_map_of_surjective f hf,
comap_map_of_surjective f hf, ring_hom.ker_eq_comap_bot]
theorem map_radical_of_surjective {f : R →+* S} (hf : function.surjective f) {I : ideal R}
(h : ring_hom.ker f ≤ I) : map f (I.radical) = (map f I).radical :=
begin
rw [radical_eq_Inf, radical_eq_Inf],
have : ∀ J ∈ {J : ideal R | I ≤ J ∧ J.is_prime}, f.ker ≤ J := λ J hJ, le_trans h hJ.left,
convert map_Inf hf this,
refine funext (λ j, propext ⟨_, _⟩),
{ rintros ⟨hj, hj'⟩,
haveI : j.is_prime := hj',
exact ⟨comap f j, ⟨⟨map_le_iff_le_comap.1 hj, comap_is_prime f j⟩,
map_comap_of_surjective f hf j⟩⟩ },
{ rintro ⟨J, ⟨hJ, hJ'⟩⟩,
haveI : J.is_prime := hJ.right,
refine ⟨hJ' ▸ map_mono hJ.left, hJ' ▸ map_is_prime_of_surjective hf (le_trans h hJ.left)⟩ },
end
end comm_ring
end ideal
namespace submodule
variables {R : Type u} {M : Type v}
variables [comm_semiring R] [add_comm_monoid M] [module R M]
-- TODO: show `[algebra R A] : algebra (ideal R) A` too
instance module_submodule : module (ideal R) (submodule R M) :=
{ smul_add := smul_sup,
add_smul := sup_smul,
mul_smul := submodule.smul_assoc,
one_smul := by simp,
zero_smul := bot_smul,
smul_zero := smul_bot }
end submodule
namespace ring_hom
variables {A B C : Type*} [ring A] [ring B] [ring C]
variables (f : A →+* B) (f_inv : B → A)
/-- Auxiliary definition used to define `lift_of_right_inverse` -/
def lift_of_right_inverse_aux
(hf : function.right_inverse f_inv f) (g : A →+* C) (hg : f.ker ≤ g.ker) :
B →+* C :=
{ to_fun := λ b, g (f_inv b),
map_one' :=
begin
rw [← g.map_one, ← sub_eq_zero, ← g.map_sub, ← g.mem_ker],
apply hg,
rw [f.mem_ker, f.map_sub, sub_eq_zero, f.map_one],
exact hf 1
end,
map_mul' :=
begin
intros x y,
rw [← g.map_mul, ← sub_eq_zero, ← g.map_sub, ← g.mem_ker],
apply hg,
rw [f.mem_ker, f.map_sub, sub_eq_zero, f.map_mul],
simp only [hf _],
end,
.. add_monoid_hom.lift_of_right_inverse f.to_add_monoid_hom f_inv hf ⟨g.to_add_monoid_hom, hg⟩ }
@[simp] lemma lift_of_right_inverse_aux_comp_apply
(hf : function.right_inverse f_inv f) (g : A →+* C) (hg : f.ker ≤ g.ker) (a : A) :
(f.lift_of_right_inverse_aux f_inv hf g hg) (f a) = g a :=
f.to_add_monoid_hom.lift_of_right_inverse_comp_apply f_inv hf ⟨g.to_add_monoid_hom, hg⟩ a
/-- `lift_of_right_inverse f hf g hg` is the unique ring homomorphism `φ`
* such that `φ.comp f = g` (`ring_hom.lift_of_right_inverse_comp`),
* where `f : A →+* B` is has a right_inverse `f_inv` (`hf`),
* and `g : B →+* C` satisfies `hg : f.ker ≤ g.ker`.
See `ring_hom.eq_lift_of_right_inverse` for the uniqueness lemma.
```
A .
| \
f | \ g
| \
v \⌟
B ----> C
∃!φ
```
-/
def lift_of_right_inverse
(hf : function.right_inverse f_inv f) : {g : A →+* C // f.ker ≤ g.ker} ≃ (B →+* C) :=
{ to_fun := λ g, f.lift_of_right_inverse_aux f_inv hf g.1 g.2,
inv_fun := λ φ, ⟨φ.comp f, λ x hx, (mem_ker _).mpr $ by simp [(mem_ker _).mp hx]⟩,
left_inv := λ g, by
{ ext,
simp only [comp_apply, lift_of_right_inverse_aux_comp_apply, subtype.coe_mk,
subtype.val_eq_coe], },
right_inv := λ φ, by
{ ext b,
simp [lift_of_right_inverse_aux, hf b], } }
/-- A non-computable version of `ring_hom.lift_of_right_inverse` for when no computable right
inverse is available, that uses `function.surj_inv`. -/
@[simp]
noncomputable abbreviation lift_of_surjective
(hf : function.surjective f) : {g : A →+* C // f.ker ≤ g.ker} ≃ (B →+* C) :=
f.lift_of_right_inverse (function.surj_inv hf) (function.right_inverse_surj_inv hf)
lemma lift_of_right_inverse_comp_apply
(hf : function.right_inverse f_inv f) (g : {g : A →+* C // f.ker ≤ g.ker}) (x : A) :
(f.lift_of_right_inverse f_inv hf g) (f x) = g x :=
f.lift_of_right_inverse_aux_comp_apply f_inv hf g.1 g.2 x
lemma lift_of_right_inverse_comp (hf : function.right_inverse f_inv f)
(g : {g : A →+* C // f.ker ≤ g.ker}) :
(f.lift_of_right_inverse f_inv hf g).comp f = g :=
ring_hom.ext $ f.lift_of_right_inverse_comp_apply f_inv hf g
lemma eq_lift_of_right_inverse (hf : function.right_inverse f_inv f) (g : A →+* C)
(hg : f.ker ≤ g.ker) (h : B →+* C) (hh : h.comp f = g) :
h = (f.lift_of_right_inverse f_inv hf ⟨g, hg⟩) :=
begin
simp_rw ←hh,
exact ((f.lift_of_right_inverse f_inv hf).apply_symm_apply _).symm,
end
end ring_hom
|
b5a7943e998e15220686df7594cea07344741253 | bb31430994044506fa42fd667e2d556327e18dfe | /src/order/conditionally_complete_lattice/basic.lean | 8eea89f3d5511024f4ff1039353dc2534bd7ae71 | [
"Apache-2.0"
] | permissive | sgouezel/mathlib | 0cb4e5335a2ba189fa7af96d83a377f83270e503 | 00638177efd1b2534fc5269363ebf42a7871df9a | refs/heads/master | 1,674,527,483,042 | 1,673,665,568,000 | 1,673,665,568,000 | 119,598,202 | 0 | 0 | null | 1,517,348,647,000 | 1,517,348,646,000 | null | UTF-8 | Lean | false | false | 56,291 | lean | /-
Copyright (c) 2018 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import order.bounds.basic
import order.well_founded
import data.set.intervals.basic
import data.set.lattice
/-!
# Theory of conditionally complete lattices.
> THIS FILE IS SYNCHRONIZED WITH MATHLIB4.
> Any changes to this file require a corresponding PR to mathlib4.
A conditionally complete lattice is a lattice in which every non-empty bounded subset `s`
has a least upper bound and a greatest lower bound, denoted below by `Sup s` and `Inf s`.
Typical examples are `ℝ`, `ℕ`, and `ℤ` with their usual orders.
The theory is very comparable to the theory of complete lattices, except that suitable
boundedness and nonemptiness assumptions have to be added to most statements.
We introduce two predicates `bdd_above` and `bdd_below` to express this boundedness, prove
their basic properties, and then go on to prove most useful properties of `Sup` and `Inf`
in conditionally complete lattices.
To differentiate the statements between complete lattices and conditionally complete
lattices, we prefix `Inf` and `Sup` in the statements by `c`, giving `cInf` and `cSup`.
For instance, `Inf_le` is a statement in complete lattices ensuring `Inf s ≤ x`,
while `cInf_le` is the same statement in conditionally complete lattices
with an additional assumption that `s` is bounded below.
-/
set_option old_structure_cmd true
open function order_dual set
variables {α β γ : Type*} {ι : Sort*}
section
/-!
Extension of Sup and Inf from a preorder `α` to `with_top α` and `with_bot α`
-/
open_locale classical
noncomputable instance {α : Type*} [preorder α] [has_Sup α] : has_Sup (with_top α) :=
⟨λ S, if ⊤ ∈ S then ⊤ else
if bdd_above (coe ⁻¹' S : set α) then ↑(Sup (coe ⁻¹' S : set α)) else ⊤⟩
noncomputable instance {α : Type*} [has_Inf α] : has_Inf (with_top α) :=
⟨λ S, if S ⊆ {⊤} then ⊤ else ↑(Inf (coe ⁻¹' S : set α))⟩
noncomputable instance {α : Type*} [has_Sup α] : has_Sup (with_bot α) :=
⟨(@with_top.has_Inf αᵒᵈ _).Inf⟩
noncomputable instance {α : Type*} [preorder α] [has_Inf α] : has_Inf (with_bot α) :=
⟨(@with_top.has_Sup αᵒᵈ _ _).Sup⟩
@[simp]
theorem with_top.cInf_empty {α : Type*} [has_Inf α] : Inf (∅ : set (with_top α)) = ⊤ :=
if_pos $ set.empty_subset _
@[simp]
theorem with_top.cinfi_empty {α : Type*} [is_empty ι] [has_Inf α] (f : ι → with_top α) :
(⨅ i, f i) = ⊤ :=
by rw [infi, range_eq_empty, with_top.cInf_empty]
lemma with_top.coe_Inf' [has_Inf α] {s : set α} (hs : s.nonempty) :
↑(Inf s) = (Inf (coe '' s) : with_top α) :=
begin
obtain ⟨x, hx⟩ := hs,
change _ = ite _ _ _,
split_ifs,
{ cases h (mem_image_of_mem _ hx) },
{ rw preimage_image_eq,
exact option.some_injective _ },
end
@[norm_cast] lemma with_top.coe_infi [nonempty ι] [has_Inf α] (f : ι → α) :
↑(⨅ i, f i) = (⨅ i, f i : with_top α) :=
by rw [infi, infi, with_top.coe_Inf' (range_nonempty f), range_comp]
theorem with_top.coe_Sup' [preorder α] [has_Sup α] {s : set α} (hs : bdd_above s) :
↑(Sup s) = (Sup (coe '' s) : with_top α) :=
begin
change _ = ite _ _ _,
rw [if_neg, preimage_image_eq, if_pos hs],
{ exact option.some_injective _ },
{ rintro ⟨x, h, ⟨⟩⟩ },
end
@[norm_cast] lemma with_top.coe_supr [preorder α] [has_Sup α] (f : ι → α)
(h : bdd_above (set.range f)) :
↑(⨆ i, f i) = (⨆ i, f i : with_top α) :=
by rw [supr, supr, with_top.coe_Sup' h, range_comp]
@[simp]
theorem with_bot.cSup_empty {α : Type*} [has_Sup α] : Sup (∅ : set (with_bot α)) = ⊥ :=
if_pos $ set.empty_subset _
@[simp]
theorem with_bot.csupr_empty {α : Type*} [is_empty ι] [has_Sup α] (f : ι → with_bot α) :
(⨆ i, f i) = ⊥ :=
@with_top.cinfi_empty _ αᵒᵈ _ _ _
@[norm_cast] lemma with_bot.coe_Sup' [has_Sup α] {s : set α} (hs : s.nonempty) :
↑(Sup s) = (Sup (coe '' s) : with_bot α) :=
@with_top.coe_Inf' αᵒᵈ _ _ hs
@[norm_cast] lemma with_bot.coe_supr [nonempty ι] [has_Sup α] (f : ι → α) :
↑(⨆ i, f i) = (⨆ i, f i : with_bot α) :=
@with_top.coe_infi αᵒᵈ _ _ _ _
@[norm_cast] theorem with_bot.coe_Inf' [preorder α] [has_Inf α] {s : set α} (hs : bdd_below s) :
↑(Inf s) = (Inf (coe '' s) : with_bot α) :=
@with_top.coe_Sup' αᵒᵈ _ _ _ hs
@[norm_cast] lemma with_bot.coe_infi [preorder α] [has_Inf α] (f : ι → α)
(h : bdd_below (set.range f)) :
↑(⨅ i, f i) = (⨅ i, f i : with_bot α) :=
@with_top.coe_supr αᵒᵈ _ _ _ _ h
end -- section
/-- A conditionally complete lattice is a lattice in which
every nonempty subset which is bounded above has a supremum, and
every nonempty subset which is bounded below has an infimum.
Typical examples are real numbers or natural numbers.
To differentiate the statements from the corresponding statements in (unconditional)
complete lattices, we prefix Inf and Sup by a c everywhere. The same statements should
hold in both worlds, sometimes with additional assumptions of nonemptiness or
boundedness.-/
class conditionally_complete_lattice (α : Type*) extends lattice α, has_Sup α, has_Inf α :=
(le_cSup : ∀ s a, bdd_above s → a ∈ s → a ≤ Sup s)
(cSup_le : ∀ s a, set.nonempty s → a ∈ upper_bounds s → Sup s ≤ a)
(cInf_le : ∀ s a, bdd_below s → a ∈ s → Inf s ≤ a)
(le_cInf : ∀ s a, set.nonempty s → a ∈ lower_bounds s → a ≤ Inf s)
/-- A conditionally complete linear order is a linear order in which
every nonempty subset which is bounded above has a supremum, and
every nonempty subset which is bounded below has an infimum.
Typical examples are real numbers or natural numbers.
To differentiate the statements from the corresponding statements in (unconditional)
complete linear orders, we prefix Inf and Sup by a c everywhere. The same statements should
hold in both worlds, sometimes with additional assumptions of nonemptiness or
boundedness.-/
class conditionally_complete_linear_order (α : Type*)
extends conditionally_complete_lattice α, linear_order α renaming max → sup min → inf
/-- A conditionally complete linear order with `bot` is a linear order with least element, in which
every nonempty subset which is bounded above has a supremum, and every nonempty subset (necessarily
bounded below) has an infimum. A typical example is the natural numbers.
To differentiate the statements from the corresponding statements in (unconditional)
complete linear orders, we prefix Inf and Sup by a c everywhere. The same statements should
hold in both worlds, sometimes with additional assumptions of nonemptiness or
boundedness.-/
@[ancestor conditionally_complete_linear_order has_bot]
class conditionally_complete_linear_order_bot (α : Type*)
extends conditionally_complete_linear_order α, has_bot α :=
(bot_le : ∀ x : α, ⊥ ≤ x)
(cSup_empty : Sup ∅ = ⊥)
@[priority 100] -- see Note [lower instance priority]
instance conditionally_complete_linear_order_bot.to_order_bot
[h : conditionally_complete_linear_order_bot α] : order_bot α :=
{ ..h }
/-- A complete lattice is a conditionally complete lattice, as there are no restrictions
on the properties of Inf and Sup in a complete lattice.-/
@[priority 100] -- see Note [lower instance priority]
instance complete_lattice.to_conditionally_complete_lattice [complete_lattice α] :
conditionally_complete_lattice α :=
{ le_cSup := by intros; apply le_Sup; assumption,
cSup_le := by intros; apply Sup_le; assumption,
cInf_le := by intros; apply Inf_le; assumption,
le_cInf := by intros; apply le_Inf; assumption,
..‹complete_lattice α› }
@[priority 100] -- see Note [lower instance priority]
instance complete_linear_order.to_conditionally_complete_linear_order_bot {α : Type*}
[complete_linear_order α] :
conditionally_complete_linear_order_bot α :=
{ cSup_empty := Sup_empty,
..complete_lattice.to_conditionally_complete_lattice, .. ‹complete_linear_order α› }
section
open_locale classical
/-- A well founded linear order is conditionally complete, with a bottom element. -/
@[reducible] noncomputable def is_well_order.conditionally_complete_linear_order_bot
(α : Type*) [i₁ : linear_order α] [i₂ : order_bot α] [h : is_well_order α (<)] :
conditionally_complete_linear_order_bot α :=
{ Inf := λ s, if hs : s.nonempty then h.wf.min s hs else ⊥,
cInf_le := λ s a hs has, begin
have s_ne : s.nonempty := ⟨a, has⟩,
simpa [s_ne] using not_lt.1 (h.wf.not_lt_min s s_ne has),
end,
le_cInf := λ s a hs has, begin
simp only [hs, dif_pos],
exact has (h.wf.min_mem s hs),
end,
Sup := λ s, if hs : (upper_bounds s).nonempty then h.wf.min _ hs else ⊥,
le_cSup := λ s a hs has, begin
have h's : (upper_bounds s).nonempty := hs,
simp only [h's, dif_pos],
exact h.wf.min_mem _ h's has,
end,
cSup_le := λ s a hs has, begin
have h's : (upper_bounds s).nonempty := ⟨a, has⟩,
simp only [h's, dif_pos],
simpa using h.wf.not_lt_min _ h's has,
end,
cSup_empty := by simpa using eq_bot_iff.2 (not_lt.1 $ h.wf.not_lt_min _ _ $ mem_univ ⊥),
..i₁, ..i₂, ..linear_order.to_lattice }
end
section order_dual
instance (α : Type*) [conditionally_complete_lattice α] : conditionally_complete_lattice αᵒᵈ :=
{ le_cSup := @conditionally_complete_lattice.cInf_le α _,
cSup_le := @conditionally_complete_lattice.le_cInf α _,
le_cInf := @conditionally_complete_lattice.cSup_le α _,
cInf_le := @conditionally_complete_lattice.le_cSup α _,
..order_dual.has_Inf α,
..order_dual.has_Sup α,
..order_dual.lattice α }
instance (α : Type*) [conditionally_complete_linear_order α] :
conditionally_complete_linear_order αᵒᵈ :=
{ ..order_dual.conditionally_complete_lattice α,
..order_dual.linear_order α }
end order_dual
/-- Create a `conditionally_complete_lattice` from a `partial_order` and `Sup` function
that returns the least upper bound of a nonempty set which is bounded above. Usually this
constructor provides poor definitional equalities. If other fields are known explicitly, they
should be provided; for example, if `inf` is known explicitly, construct the
`conditionally_complete_lattice` instance as
```
instance : conditionally_complete_lattice my_T :=
{ inf := better_inf,
le_inf := ...,
inf_le_right := ...,
inf_le_left := ...
-- don't care to fix sup, Inf
..conditionally_complete_lattice_of_Sup my_T _ }
```
-/
def conditionally_complete_lattice_of_Sup (α : Type*) [H1 : partial_order α]
[H2 : has_Sup α]
(bdd_above_pair : ∀ a b : α, bdd_above ({a, b} : set α))
(bdd_below_pair : ∀ a b : α, bdd_below ({a, b} : set α))
(is_lub_Sup : ∀ s : set α, bdd_above s → s.nonempty → is_lub s (Sup s)) :
conditionally_complete_lattice α :=
{ sup := λ a b, Sup {a, b},
le_sup_left := λ a b, (is_lub_Sup {a, b} (bdd_above_pair a b)
(insert_nonempty _ _)).1 (mem_insert _ _),
le_sup_right := λ a b, (is_lub_Sup {a, b} (bdd_above_pair a b)
(insert_nonempty _ _)).1 (mem_insert_of_mem _ (mem_singleton _)),
sup_le := λ a b c hac hbc, (is_lub_Sup {a, b} (bdd_above_pair a b)
(insert_nonempty _ _)).2 (forall_insert_of_forall (forall_eq.mpr hbc) hac),
inf := λ a b, Sup (lower_bounds {a, b}),
inf_le_left := λ a b, (is_lub_Sup (lower_bounds {a, b})
(nonempty.bdd_above_lower_bounds ⟨a, mem_insert _ _⟩) (bdd_below_pair a b)).2
(λ c hc, hc $ mem_insert _ _),
inf_le_right := λ a b, (is_lub_Sup (lower_bounds {a, b})
(nonempty.bdd_above_lower_bounds ⟨a, mem_insert _ _⟩)
(bdd_below_pair a b)).2 (λ c hc, hc $ mem_insert_of_mem _ (mem_singleton _)),
le_inf := λ c a b hca hcb, (is_lub_Sup (lower_bounds {a, b})
(nonempty.bdd_above_lower_bounds ⟨a, mem_insert _ _⟩)
⟨c, forall_insert_of_forall (forall_eq.mpr hcb) hca⟩).1
(forall_insert_of_forall (forall_eq.mpr hcb) hca),
Inf := λ s, Sup (lower_bounds s),
cSup_le := λ s a hs ha, (is_lub_Sup s ⟨a, ha⟩ hs).2 ha,
le_cSup := λ s a hs ha, (is_lub_Sup s hs ⟨a, ha⟩).1 ha,
cInf_le := λ s a hs ha, (is_lub_Sup (lower_bounds s)
(nonempty.bdd_above_lower_bounds ⟨a, ha⟩) hs).2 (λ b hb, hb ha),
le_cInf := λ s a hs ha, (is_lub_Sup (lower_bounds s) hs.bdd_above_lower_bounds ⟨a, ha⟩).1 ha,
.. H1, .. H2 }
/-- Create a `conditionally_complete_lattice_of_Inf` from a `partial_order` and `Inf` function
that returns the greatest lower bound of a nonempty set which is bounded below. Usually this
constructor provides poor definitional equalities. If other fields are known explicitly, they
should be provided; for example, if `inf` is known explicitly, construct the
`conditionally_complete_lattice` instance as
```
instance : conditionally_complete_lattice my_T :=
{ inf := better_inf,
le_inf := ...,
inf_le_right := ...,
inf_le_left := ...
-- don't care to fix sup, Sup
..conditionally_complete_lattice_of_Inf my_T _ }
```
-/
def conditionally_complete_lattice_of_Inf (α : Type*) [H1 : partial_order α]
[H2 : has_Inf α]
(bdd_above_pair : ∀ a b : α, bdd_above ({a, b} : set α))
(bdd_below_pair : ∀ a b : α, bdd_below ({a, b} : set α))
(is_glb_Inf : ∀ s : set α, bdd_below s → s.nonempty → is_glb s (Inf s)) :
conditionally_complete_lattice α :=
{ inf := λ a b, Inf {a, b},
inf_le_left := λ a b, (is_glb_Inf {a, b} (bdd_below_pair a b)
(insert_nonempty _ _)).1 (mem_insert _ _),
inf_le_right := λ a b, (is_glb_Inf {a, b} (bdd_below_pair a b)
(insert_nonempty _ _)).1 (mem_insert_of_mem _ (mem_singleton _)),
le_inf := λ c a b hca hcb, (is_glb_Inf {a, b} (bdd_below_pair a b)
(insert_nonempty _ _)).2 (forall_insert_of_forall (forall_eq.mpr hcb) hca),
sup := λ a b, Inf (upper_bounds {a, b}),
le_sup_left := λ a b, (is_glb_Inf (upper_bounds {a, b})
(nonempty.bdd_below_upper_bounds ⟨a, mem_insert _ _⟩) (bdd_above_pair a b)).2
(λ c hc, hc $ mem_insert _ _),
le_sup_right := λ a b, (is_glb_Inf (upper_bounds {a, b})
(nonempty.bdd_below_upper_bounds ⟨a, mem_insert _ _⟩)
(bdd_above_pair a b)).2 (λ c hc, hc $ mem_insert_of_mem _ (mem_singleton _)),
sup_le := λ a b c hac hbc, (is_glb_Inf (upper_bounds {a, b})
(nonempty.bdd_below_upper_bounds ⟨a, mem_insert _ _⟩)
⟨c, forall_insert_of_forall (forall_eq.mpr hbc) hac⟩).1
(forall_insert_of_forall (forall_eq.mpr hbc) hac),
Sup := λ s, Inf (upper_bounds s),
le_cInf := λ s a hs ha, (is_glb_Inf s ⟨a, ha⟩ hs).2 ha,
cInf_le := λ s a hs ha, (is_glb_Inf s hs ⟨a, ha⟩).1 ha,
le_cSup := λ s a hs ha, (is_glb_Inf (upper_bounds s)
(nonempty.bdd_below_upper_bounds ⟨a, ha⟩) hs).2 (λ b hb, hb ha),
cSup_le := λ s a hs ha, (is_glb_Inf (upper_bounds s) hs.bdd_below_upper_bounds ⟨a, ha⟩).1 ha,
.. H1, .. H2 }
/--
A version of `conditionally_complete_lattice_of_Sup` when we already know that `α` is a lattice.
This should only be used when it is both hard and unnecessary to provide `Inf` explicitly. -/
def conditionally_complete_lattice_of_lattice_of_Sup (α : Type*) [H1 : lattice α]
[H2 : has_Sup α]
(is_lub_Sup : ∀ s : set α, bdd_above s → s.nonempty → is_lub s (Sup s)) :
conditionally_complete_lattice α :=
{ ..H1, ..conditionally_complete_lattice_of_Sup α
(λ a b, ⟨a ⊔ b, forall_insert_of_forall (forall_eq.mpr le_sup_right) le_sup_left⟩)
(λ a b, ⟨a ⊓ b, forall_insert_of_forall (forall_eq.mpr inf_le_right) inf_le_left⟩)
is_lub_Sup }
/--
A version of `conditionally_complete_lattice_of_Inf` when we already know that `α` is a lattice.
This should only be used when it is both hard and unnecessary to provide `Sup` explicitly. -/
def conditionally_complete_lattice_of_lattice_of_Inf (α : Type*) [H1 : lattice α]
[H2 : has_Inf α]
(is_glb_Inf : ∀ s : set α, bdd_below s → s.nonempty → is_glb s (Inf s)) :
conditionally_complete_lattice α :=
{ ..H1, ..conditionally_complete_lattice_of_Inf α
(λ a b, ⟨a ⊔ b, forall_insert_of_forall (forall_eq.mpr le_sup_right) le_sup_left⟩)
(λ a b, ⟨a ⊓ b, forall_insert_of_forall (forall_eq.mpr inf_le_right) inf_le_left⟩)
is_glb_Inf }
section conditionally_complete_lattice
variables [conditionally_complete_lattice α] {s t : set α} {a b : α}
theorem le_cSup (h₁ : bdd_above s) (h₂ : a ∈ s) : a ≤ Sup s :=
conditionally_complete_lattice.le_cSup s a h₁ h₂
theorem cSup_le (h₁ : s.nonempty) (h₂ : ∀ b ∈ s, b ≤ a) : Sup s ≤ a :=
conditionally_complete_lattice.cSup_le s a h₁ h₂
theorem cInf_le (h₁ : bdd_below s) (h₂ : a ∈ s) : Inf s ≤ a :=
conditionally_complete_lattice.cInf_le s a h₁ h₂
theorem le_cInf (h₁ : s.nonempty) (h₂ : ∀ b ∈ s, a ≤ b) : a ≤ Inf s :=
conditionally_complete_lattice.le_cInf s a h₁ h₂
theorem le_cSup_of_le (hs : bdd_above s) (hb : b ∈ s) (h : a ≤ b) : a ≤ Sup s :=
le_trans h (le_cSup hs hb)
theorem cInf_le_of_le (hs : bdd_below s) (hb : b ∈ s) (h : b ≤ a) : Inf s ≤ a :=
le_trans (cInf_le hs hb) h
theorem cSup_le_cSup (ht : bdd_above t) (hs : s.nonempty) (h : s ⊆ t) : Sup s ≤ Sup t :=
cSup_le hs (λ a ha, le_cSup ht (h ha))
theorem cInf_le_cInf (ht : bdd_below t) (hs : s.nonempty) (h : s ⊆ t) : Inf t ≤ Inf s :=
le_cInf hs (λ a ha, cInf_le ht (h ha))
theorem le_cSup_iff (h : bdd_above s) (hs : s.nonempty) :
a ≤ Sup s ↔ ∀ b, b ∈ upper_bounds s → a ≤ b :=
⟨λ h b hb, le_trans h (cSup_le hs hb), λ hb, hb _ (λ x, le_cSup h)⟩
theorem cInf_le_iff (h : bdd_below s) (hs : s.nonempty) :
Inf s ≤ a ↔ ∀ b ∈ lower_bounds s, b ≤ a :=
⟨λ h b hb, le_trans (le_cInf hs hb) h, λ hb, hb _ (λ x, cInf_le h)⟩
lemma is_lub_cSup (ne : s.nonempty) (H : bdd_above s) : is_lub s (Sup s) :=
⟨λ x, le_cSup H, λ x, cSup_le ne⟩
lemma is_lub_csupr [nonempty ι] {f : ι → α} (H : bdd_above (range f)) :
is_lub (range f) (⨆ i, f i) :=
is_lub_cSup (range_nonempty f) H
lemma is_lub_csupr_set {f : β → α} {s : set β} (H : bdd_above (f '' s)) (Hne : s.nonempty) :
is_lub (f '' s) (⨆ i : s, f i) :=
by { rw ← Sup_image', exact is_lub_cSup (Hne.image _) H }
lemma is_glb_cInf (ne : s.nonempty) (H : bdd_below s) : is_glb s (Inf s) :=
⟨λ x, cInf_le H, λ x, le_cInf ne⟩
lemma is_glb_cinfi [nonempty ι] {f : ι → α} (H : bdd_below (range f)) :
is_glb (range f) (⨅ i, f i) :=
is_glb_cInf (range_nonempty f) H
lemma is_glb_cinfi_set {f : β → α} {s : set β} (H : bdd_below (f '' s)) (Hne : s.nonempty) :
is_glb (f '' s) (⨅ i : s, f i) :=
@is_lub_csupr_set αᵒᵈ _ _ _ _ H Hne
lemma csupr_le_iff [nonempty ι] {f : ι → α} {a : α} (hf : bdd_above (range f)) :
supr f ≤ a ↔ ∀ i, f i ≤ a :=
(is_lub_le_iff $ is_lub_csupr hf).trans forall_range_iff
lemma le_cinfi_iff [nonempty ι] {f : ι → α} {a : α} (hf : bdd_below (range f)) :
a ≤ infi f ↔ ∀ i, a ≤ f i :=
(le_is_glb_iff $ is_glb_cinfi hf).trans forall_range_iff
lemma csupr_set_le_iff {ι : Type*} {s : set ι} {f : ι → α} {a : α} (hs : s.nonempty)
(hf : bdd_above (f '' s)) :
(⨆ i : s, f i) ≤ a ↔ ∀ i ∈ s, f i ≤ a :=
(is_lub_le_iff $ is_lub_csupr_set hf hs).trans ball_image_iff
lemma le_cinfi_set_iff {ι : Type*} {s : set ι} {f : ι → α} {a : α} (hs : s.nonempty)
(hf : bdd_below (f '' s)) :
a ≤ (⨅ i : s, f i) ↔ ∀ i ∈ s, a ≤ f i :=
(le_is_glb_iff $ is_glb_cinfi_set hf hs).trans ball_image_iff
lemma is_lub.cSup_eq (H : is_lub s a) (ne : s.nonempty) : Sup s = a :=
(is_lub_cSup ne ⟨a, H.1⟩).unique H
lemma is_lub.csupr_eq [nonempty ι] {f : ι → α} (H : is_lub (range f) a) : (⨆ i, f i) = a :=
H.cSup_eq (range_nonempty f)
lemma is_lub.csupr_set_eq {s : set β} {f : β → α} (H : is_lub (f '' s) a) (Hne : s.nonempty) :
(⨆ i : s, f i) = a :=
is_lub.cSup_eq (image_eq_range f s ▸ H) (image_eq_range f s ▸ Hne.image f)
/-- A greatest element of a set is the supremum of this set. -/
lemma is_greatest.cSup_eq (H : is_greatest s a) : Sup s = a :=
H.is_lub.cSup_eq H.nonempty
lemma is_greatest.Sup_mem (H : is_greatest s a) : Sup s ∈ s :=
H.cSup_eq.symm ▸ H.1
lemma is_glb.cInf_eq (H : is_glb s a) (ne : s.nonempty) : Inf s = a :=
(is_glb_cInf ne ⟨a, H.1⟩).unique H
lemma is_glb.cinfi_eq [nonempty ι] {f : ι → α} (H : is_glb (range f) a) : (⨅ i, f i) = a :=
H.cInf_eq (range_nonempty f)
lemma is_glb.cinfi_set_eq {s : set β} {f : β → α} (H : is_glb (f '' s) a) (Hne : s.nonempty) :
(⨅ i : s, f i) = a :=
is_glb.cInf_eq (image_eq_range f s ▸ H) (image_eq_range f s ▸ Hne.image f)
/-- A least element of a set is the infimum of this set. -/
lemma is_least.cInf_eq (H : is_least s a) : Inf s = a :=
H.is_glb.cInf_eq H.nonempty
lemma is_least.Inf_mem (H : is_least s a) : Inf s ∈ s :=
H.cInf_eq.symm ▸ H.1
lemma subset_Icc_cInf_cSup (hb : bdd_below s) (ha : bdd_above s) :
s ⊆ Icc (Inf s) (Sup s) :=
λ x hx, ⟨cInf_le hb hx, le_cSup ha hx⟩
theorem cSup_le_iff (hb : bdd_above s) (hs : s.nonempty) : Sup s ≤ a ↔ ∀ b ∈ s, b ≤ a :=
is_lub_le_iff (is_lub_cSup hs hb)
theorem le_cInf_iff (hb : bdd_below s) (hs : s.nonempty) : a ≤ Inf s ↔ ∀ b ∈ s, a ≤ b :=
le_is_glb_iff (is_glb_cInf hs hb)
lemma cSup_lower_bounds_eq_cInf {s : set α} (h : bdd_below s) (hs : s.nonempty) :
Sup (lower_bounds s) = Inf s :=
(is_lub_cSup h $ hs.mono $ λ x hx y hy, hy hx).unique (is_glb_cInf hs h).is_lub
lemma cInf_upper_bounds_eq_cSup {s : set α} (h : bdd_above s) (hs : s.nonempty) :
Inf (upper_bounds s) = Sup s :=
(is_glb_cInf h $ hs.mono $ λ x hx y hy, hy hx).unique (is_lub_cSup hs h).is_glb
lemma not_mem_of_lt_cInf {x : α} {s : set α} (h : x < Inf s) (hs : bdd_below s) : x ∉ s :=
λ hx, lt_irrefl _ (h.trans_le (cInf_le hs hx))
lemma not_mem_of_cSup_lt {x : α} {s : set α} (h : Sup s < x) (hs : bdd_above s) : x ∉ s :=
@not_mem_of_lt_cInf αᵒᵈ _ x s h hs
/--Introduction rule to prove that `b` is the supremum of `s`: it suffices to check that `b`
is larger than all elements of `s`, and that this is not the case of any `w<b`.
See `Sup_eq_of_forall_le_of_forall_lt_exists_gt` for a version in complete lattices. -/
theorem cSup_eq_of_forall_le_of_forall_lt_exists_gt (hs : s.nonempty)
(H : ∀ a ∈ s, a ≤ b) (H' : ∀ w, w < b → ∃ a ∈ s, w < a) : Sup s = b :=
eq_of_le_of_not_lt (cSup_le hs H) $ λ hb, let ⟨a, ha, ha'⟩ := H' _ hb in
lt_irrefl _ $ ha'.trans_le $ le_cSup ⟨b, H⟩ ha
/--Introduction rule to prove that `b` is the infimum of `s`: it suffices to check that `b`
is smaller than all elements of `s`, and that this is not the case of any `w>b`.
See `Inf_eq_of_forall_ge_of_forall_gt_exists_lt` for a version in complete lattices. -/
theorem cInf_eq_of_forall_ge_of_forall_gt_exists_lt : s.nonempty → (∀ a ∈ s, b ≤ a) →
(∀ w, b < w → ∃ a ∈ s, a < w) → Inf s = b :=
@cSup_eq_of_forall_le_of_forall_lt_exists_gt αᵒᵈ _ _ _
/--b < Sup s when there is an element a in s with b < a, when s is bounded above.
This is essentially an iff, except that the assumptions for the two implications are
slightly different (one needs boundedness above for one direction, nonemptiness and linear
order for the other one), so we formulate separately the two implications, contrary to
the complete_lattice case.-/
lemma lt_cSup_of_lt (hs : bdd_above s) (ha : a ∈ s) (h : b < a) : b < Sup s :=
lt_of_lt_of_le h (le_cSup hs ha)
/--Inf s < b when there is an element a in s with a < b, when s is bounded below.
This is essentially an iff, except that the assumptions for the two implications are
slightly different (one needs boundedness below for one direction, nonemptiness and linear
order for the other one), so we formulate separately the two implications, contrary to
the complete_lattice case.-/
lemma cInf_lt_of_lt : bdd_below s → a ∈ s → a < b → Inf s < b :=
@lt_cSup_of_lt αᵒᵈ _ _ _ _
/-- If all elements of a nonempty set `s` are less than or equal to all elements
of a nonempty set `t`, then there exists an element between these sets. -/
lemma exists_between_of_forall_le (sne : s.nonempty) (tne : t.nonempty)
(hst : ∀ (x ∈ s) (y ∈ t), x ≤ y) : (upper_bounds s ∩ lower_bounds t).nonempty :=
⟨Inf t, λ x hx, le_cInf tne $ hst x hx, λ y hy, cInf_le (sne.mono hst) hy⟩
/--The supremum of a singleton is the element of the singleton-/
@[simp] theorem cSup_singleton (a : α) : Sup {a} = a :=
is_greatest_singleton.cSup_eq
/--The infimum of a singleton is the element of the singleton-/
@[simp] theorem cInf_singleton (a : α) : Inf {a} = a :=
is_least_singleton.cInf_eq
@[simp] theorem cSup_pair (a b : α) : Sup {a, b} = a ⊔ b :=
(@is_lub_pair _ _ a b).cSup_eq (insert_nonempty _ _)
@[simp] theorem cInf_pair (a b : α) : Inf {a, b} = a ⊓ b :=
(@is_glb_pair _ _ a b).cInf_eq (insert_nonempty _ _)
/--If a set is bounded below and above, and nonempty, its infimum is less than or equal to
its supremum.-/
theorem cInf_le_cSup (hb : bdd_below s) (ha : bdd_above s) (ne : s.nonempty) : Inf s ≤ Sup s :=
is_glb_le_is_lub (is_glb_cInf ne hb) (is_lub_cSup ne ha) ne
/--The sup of a union of two sets is the max of the suprema of each subset, under the assumptions
that all sets are bounded above and nonempty.-/
theorem cSup_union (hs : bdd_above s) (sne : s.nonempty) (ht : bdd_above t) (tne : t.nonempty) :
Sup (s ∪ t) = Sup s ⊔ Sup t :=
((is_lub_cSup sne hs).union (is_lub_cSup tne ht)).cSup_eq sne.inl
/--The inf of a union of two sets is the min of the infima of each subset, under the assumptions
that all sets are bounded below and nonempty.-/
theorem cInf_union (hs : bdd_below s) (sne : s.nonempty) (ht : bdd_below t) (tne : t.nonempty) :
Inf (s ∪ t) = Inf s ⊓ Inf t :=
@cSup_union αᵒᵈ _ _ _ hs sne ht tne
/--The supremum of an intersection of two sets is bounded by the minimum of the suprema of each
set, if all sets are bounded above and nonempty.-/
theorem cSup_inter_le (hs : bdd_above s) (ht : bdd_above t) (hst : (s ∩ t).nonempty) :
Sup (s ∩ t) ≤ Sup s ⊓ Sup t :=
cSup_le hst $ λ x hx, le_inf (le_cSup hs hx.1) (le_cSup ht hx.2)
/--The infimum of an intersection of two sets is bounded below by the maximum of the
infima of each set, if all sets are bounded below and nonempty.-/
theorem le_cInf_inter : bdd_below s → bdd_below t → (s ∩ t).nonempty →
Inf s ⊔ Inf t ≤ Inf (s ∩ t) :=
@cSup_inter_le αᵒᵈ _ _ _
/-- The supremum of insert a s is the maximum of a and the supremum of s, if s is
nonempty and bounded above.-/
theorem cSup_insert (hs : bdd_above s) (sne : s.nonempty) : Sup (insert a s) = a ⊔ Sup s :=
((is_lub_cSup sne hs).insert a).cSup_eq (insert_nonempty a s)
/-- The infimum of insert a s is the minimum of a and the infimum of s, if s is
nonempty and bounded below.-/
theorem cInf_insert (hs : bdd_below s) (sne : s.nonempty) : Inf (insert a s) = a ⊓ Inf s :=
@cSup_insert αᵒᵈ _ _ _ hs sne
@[simp] lemma cInf_Icc (h : a ≤ b) : Inf (Icc a b) = a :=
(is_glb_Icc h).cInf_eq (nonempty_Icc.2 h)
@[simp] lemma cInf_Ici : Inf (Ici a) = a := is_least_Ici.cInf_eq
@[simp] lemma cInf_Ico (h : a < b) : Inf (Ico a b) = a :=
(is_glb_Ico h).cInf_eq (nonempty_Ico.2 h)
@[simp] lemma cInf_Ioc [densely_ordered α] (h : a < b) : Inf (Ioc a b) = a :=
(is_glb_Ioc h).cInf_eq (nonempty_Ioc.2 h)
@[simp] lemma cInf_Ioi [no_max_order α] [densely_ordered α] : Inf (Ioi a) = a :=
cInf_eq_of_forall_ge_of_forall_gt_exists_lt nonempty_Ioi (λ _, le_of_lt)
(λ w hw, by simpa using exists_between hw)
@[simp] lemma cInf_Ioo [densely_ordered α] (h : a < b) : Inf (Ioo a b) = a :=
(is_glb_Ioo h).cInf_eq (nonempty_Ioo.2 h)
@[simp] lemma cSup_Icc (h : a ≤ b) : Sup (Icc a b) = b :=
(is_lub_Icc h).cSup_eq (nonempty_Icc.2 h)
@[simp] lemma cSup_Ico [densely_ordered α] (h : a < b) : Sup (Ico a b) = b :=
(is_lub_Ico h).cSup_eq (nonempty_Ico.2 h)
@[simp] lemma cSup_Iic : Sup (Iic a) = a := is_greatest_Iic.cSup_eq
@[simp] lemma cSup_Iio [no_min_order α] [densely_ordered α] : Sup (Iio a) = a :=
cSup_eq_of_forall_le_of_forall_lt_exists_gt nonempty_Iio (λ _, le_of_lt)
(λ w hw, by simpa [and_comm] using exists_between hw)
@[simp] lemma cSup_Ioc (h : a < b) : Sup (Ioc a b) = b :=
(is_lub_Ioc h).cSup_eq (nonempty_Ioc.2 h)
@[simp] lemma cSup_Ioo [densely_ordered α] (h : a < b) : Sup (Ioo a b) = b :=
(is_lub_Ioo h).cSup_eq (nonempty_Ioo.2 h)
/--The indexed supremum of a function is bounded above by a uniform bound-/
lemma csupr_le [nonempty ι] {f : ι → α} {c : α} (H : ∀ x, f x ≤ c) : supr f ≤ c :=
cSup_le (range_nonempty f) (by rwa forall_range_iff)
/--The indexed supremum of a function is bounded below by the value taken at one point-/
lemma le_csupr {f : ι → α} (H : bdd_above (range f)) (c : ι) : f c ≤ supr f :=
le_cSup H (mem_range_self _)
lemma le_csupr_of_le {f : ι → α} (H : bdd_above (range f)) (c : ι) (h : a ≤ f c) : a ≤ supr f :=
le_trans h (le_csupr H c)
/--The indexed supremum of two functions are comparable if the functions are pointwise comparable-/
lemma csupr_mono {f g : ι → α} (B : bdd_above (range g)) (H : ∀ x, f x ≤ g x) :
supr f ≤ supr g :=
begin
casesI is_empty_or_nonempty ι,
{ rw [supr_of_empty', supr_of_empty'] },
{ exact csupr_le (λ x, le_csupr_of_le B x (H x)) },
end
lemma le_csupr_set {f : β → α} {s : set β}
(H : bdd_above (f '' s)) {c : β} (hc : c ∈ s) : f c ≤ ⨆ i : s, f i :=
(le_cSup H $ mem_image_of_mem f hc).trans_eq Sup_image'
/--The indexed infimum of two functions are comparable if the functions are pointwise comparable-/
lemma cinfi_mono {f g : ι → α} (B : bdd_below (range f)) (H : ∀ x, f x ≤ g x) :
infi f ≤ infi g :=
@csupr_mono αᵒᵈ _ _ _ _ B H
/--The indexed minimum of a function is bounded below by a uniform lower bound-/
lemma le_cinfi [nonempty ι] {f : ι → α} {c : α} (H : ∀ x, c ≤ f x) : c ≤ infi f :=
@csupr_le αᵒᵈ _ _ _ _ _ H
/--The indexed infimum of a function is bounded above by the value taken at one point-/
lemma cinfi_le {f : ι → α} (H : bdd_below (range f)) (c : ι) : infi f ≤ f c :=
@le_csupr αᵒᵈ _ _ _ H c
lemma cinfi_le_of_le {f : ι → α} (H : bdd_below (range f)) (c : ι) (h : f c ≤ a) : infi f ≤ a :=
@le_csupr_of_le αᵒᵈ _ _ _ _ H c h
lemma cinfi_set_le {f : β → α} {s : set β}
(H : bdd_below (f '' s)) {c : β} (hc : c ∈ s) : (⨅ i : s, f i) ≤ f c :=
@le_csupr_set αᵒᵈ _ _ _ _ H _ hc
@[simp] theorem csupr_const [hι : nonempty ι] {a : α} : (⨆ b : ι, a) = a :=
by rw [supr, range_const, cSup_singleton]
@[simp] theorem cinfi_const [hι : nonempty ι] {a : α} : (⨅ b:ι, a) = a := @csupr_const αᵒᵈ _ _ _ _
@[simp] theorem supr_unique [unique ι] {s : ι → α} : (⨆ i, s i) = s default :=
have ∀ i, s i = s default := λ i, congr_arg s (unique.eq_default i),
by simp only [this, csupr_const]
@[simp] theorem infi_unique [unique ι] {s : ι → α} : (⨅ i, s i) = s default :=
@supr_unique αᵒᵈ _ _ _ _
@[simp] lemma csupr_pos {p : Prop} {f : p → α} (hp : p) : (⨆ h : p, f h) = f hp :=
by haveI := unique_prop hp; exact supr_unique
@[simp] lemma cinfi_pos {p : Prop} {f : p → α} (hp : p) : (⨅ h : p, f h) = f hp :=
@csupr_pos αᵒᵈ _ _ _ hp
/--Introduction rule to prove that `b` is the supremum of `f`: it suffices to check that `b`
is larger than `f i` for all `i`, and that this is not the case of any `w<b`.
See `supr_eq_of_forall_le_of_forall_lt_exists_gt` for a version in complete lattices. -/
theorem csupr_eq_of_forall_le_of_forall_lt_exists_gt [nonempty ι] {f : ι → α} (h₁ : ∀ i, f i ≤ b)
(h₂ : ∀ w, w < b → (∃ i, w < f i)) : (⨆ (i : ι), f i) = b :=
cSup_eq_of_forall_le_of_forall_lt_exists_gt (range_nonempty f) (forall_range_iff.mpr h₁)
(λ w hw, exists_range_iff.mpr $ h₂ w hw)
/--Introduction rule to prove that `b` is the infimum of `f`: it suffices to check that `b`
is smaller than `f i` for all `i`, and that this is not the case of any `w>b`.
See `infi_eq_of_forall_ge_of_forall_gt_exists_lt` for a version in complete lattices. -/
theorem cinfi_eq_of_forall_ge_of_forall_gt_exists_lt [nonempty ι] {f : ι → α} (h₁ : ∀ i, b ≤ f i)
(h₂ : ∀ w, b < w → (∃ i, f i < w)) : (⨅ (i : ι), f i) = b :=
@csupr_eq_of_forall_le_of_forall_lt_exists_gt αᵒᵈ _ _ _ _ ‹_› ‹_› ‹_›
/-- Nested intervals lemma: if `f` is a monotone sequence, `g` is an antitone sequence, and
`f n ≤ g n` for all `n`, then `⨆ n, f n` belongs to all the intervals `[f n, g n]`. -/
lemma monotone.csupr_mem_Inter_Icc_of_antitone [semilattice_sup β]
{f g : β → α} (hf : monotone f) (hg : antitone g) (h : f ≤ g) :
(⨆ n, f n) ∈ ⋂ n, Icc (f n) (g n) :=
begin
refine mem_Inter.2 (λ n, _),
haveI : nonempty β := ⟨n⟩,
have : ∀ m, f m ≤ g n := λ m, hf.forall_le_of_antitone hg h m n,
exact ⟨le_csupr ⟨g $ n, forall_range_iff.2 this⟩ _, csupr_le this⟩
end
/-- Nested intervals lemma: if `[f n, g n]` is an antitone sequence of nonempty
closed intervals, then `⨆ n, f n` belongs to all the intervals `[f n, g n]`. -/
lemma csupr_mem_Inter_Icc_of_antitone_Icc [semilattice_sup β]
{f g : β → α} (h : antitone (λ n, Icc (f n) (g n))) (h' : ∀ n, f n ≤ g n) :
(⨆ n, f n) ∈ ⋂ n, Icc (f n) (g n) :=
monotone.csupr_mem_Inter_Icc_of_antitone (λ m n hmn, ((Icc_subset_Icc_iff (h' n)).1 (h hmn)).1)
(λ m n hmn, ((Icc_subset_Icc_iff (h' n)).1 (h hmn)).2) h'
/--Introduction rule to prove that b is the supremum of s: it suffices to check that
1) b is an upper bound
2) every other upper bound b' satisfies b ≤ b'.-/
theorem cSup_eq_of_is_forall_le_of_forall_le_imp_ge (hs : s.nonempty)
(h_is_ub : ∀ a ∈ s, a ≤ b) (h_b_le_ub : ∀ub, (∀ a ∈ s, a ≤ ub) → (b ≤ ub)) : Sup s = b :=
(cSup_le hs h_is_ub).antisymm (h_b_le_ub _ $ λ a, le_cSup ⟨b, h_is_ub⟩)
end conditionally_complete_lattice
instance pi.conditionally_complete_lattice {ι : Type*} {α : Π i : ι, Type*}
[Π i, conditionally_complete_lattice (α i)] :
conditionally_complete_lattice (Π i, α i) :=
{ le_cSup := λ s f ⟨g, hg⟩ hf i, le_cSup ⟨g i, set.forall_range_iff.2 $ λ ⟨f', hf'⟩, hg hf' i⟩
⟨⟨f, hf⟩, rfl⟩,
cSup_le := λ s f hs hf i, cSup_le (by haveI := hs.to_subtype; apply range_nonempty) $
λ b ⟨⟨g, hg⟩, hb⟩, hb ▸ hf hg i,
cInf_le := λ s f ⟨g, hg⟩ hf i, cInf_le ⟨g i, set.forall_range_iff.2 $ λ ⟨f', hf'⟩, hg hf' i⟩
⟨⟨f, hf⟩, rfl⟩,
le_cInf := λ s f hs hf i, le_cInf (by haveI := hs.to_subtype; apply range_nonempty) $
λ b ⟨⟨g, hg⟩, hb⟩, hb ▸ hf hg i,
.. pi.lattice, .. pi.has_Sup, .. pi.has_Inf }
section conditionally_complete_linear_order
variables [conditionally_complete_linear_order α] {s t : set α} {a b : α}
/-- When b < Sup s, there is an element a in s with b < a, if s is nonempty and the order is
a linear order. -/
lemma exists_lt_of_lt_cSup (hs : s.nonempty) (hb : b < Sup s) : ∃ a ∈ s, b < a :=
by { contrapose! hb, exact cSup_le hs hb }
/--
Indexed version of the above lemma `exists_lt_of_lt_cSup`.
When `b < supr f`, there is an element `i` such that `b < f i`.
-/
lemma exists_lt_of_lt_csupr [nonempty ι] {f : ι → α} (h : b < supr f) : ∃ i, b < f i :=
let ⟨_, ⟨i, rfl⟩, h⟩ := exists_lt_of_lt_cSup (range_nonempty f) h in ⟨i, h⟩
/--When Inf s < b, there is an element a in s with a < b, if s is nonempty and the order is
a linear order.-/
lemma exists_lt_of_cInf_lt (hs : s.nonempty) (hb : Inf s < b) : ∃ a ∈ s, a < b :=
@exists_lt_of_lt_cSup αᵒᵈ _ _ _ hs hb
/--
Indexed version of the above lemma `exists_lt_of_cInf_lt`
When `infi f < a`, there is an element `i` such that `f i < a`.
-/
lemma exists_lt_of_cinfi_lt [nonempty ι] {f : ι → α} (h : infi f < a) : ∃ i, f i < a :=
@exists_lt_of_lt_csupr αᵒᵈ _ _ _ _ _ h
open function
variables [is_well_order α (<)]
lemma Inf_eq_argmin_on (hs : s.nonempty) :
Inf s = argmin_on id (@is_well_founded.wf α (<) _) s hs :=
is_least.cInf_eq ⟨argmin_on_mem _ _ _ _, λ a ha, argmin_on_le id _ _ ha⟩
lemma is_least_Inf (hs : s.nonempty) : is_least s (Inf s) :=
by { rw Inf_eq_argmin_on hs, exact ⟨argmin_on_mem _ _ _ _, λ a ha, argmin_on_le id _ _ ha⟩ }
lemma le_cInf_iff' (hs : s.nonempty) : b ≤ Inf s ↔ b ∈ lower_bounds s :=
le_is_glb_iff (is_least_Inf hs).is_glb
lemma Inf_mem (hs : s.nonempty) : Inf s ∈ s := (is_least_Inf hs).1
lemma infi_mem [nonempty ι] (f : ι → α) : infi f ∈ range f := Inf_mem (range_nonempty f)
lemma monotone_on.map_Inf {β : Type*} [conditionally_complete_lattice β] {f : α → β}
(hf : monotone_on f s) (hs : s.nonempty) : f (Inf s) = Inf (f '' s) :=
(hf.map_is_least (is_least_Inf hs)).cInf_eq.symm
lemma monotone.map_Inf {β : Type*} [conditionally_complete_lattice β] {f : α → β} (hf : monotone f)
(hs : s.nonempty) : f (Inf s) = Inf (f '' s) :=
(hf.map_is_least (is_least_Inf hs)).cInf_eq.symm
end conditionally_complete_linear_order
/-!
### Lemmas about a conditionally complete linear order with bottom element
In this case we have `Sup ∅ = ⊥`, so we can drop some `nonempty`/`set.nonempty` assumptions.
-/
section conditionally_complete_linear_order_bot
variables [conditionally_complete_linear_order_bot α]
@[simp] lemma cSup_empty : (Sup ∅ : α) = ⊥ :=
conditionally_complete_linear_order_bot.cSup_empty
@[simp] lemma csupr_of_empty [is_empty ι] (f : ι → α) : (⨆ i, f i) = ⊥ :=
by rw [supr_of_empty', cSup_empty]
@[simp] lemma csupr_false (f : false → α) : (⨆ i, f i) = ⊥ := csupr_of_empty f
@[simp] lemma cInf_univ : Inf (univ : set α) = ⊥ := is_least_univ.cInf_eq
lemma is_lub_cSup' {s : set α} (hs : bdd_above s) : is_lub s (Sup s) :=
begin
rcases eq_empty_or_nonempty s with (rfl|hne),
{ simp only [cSup_empty, is_lub_empty] },
{ exact is_lub_cSup hne hs }
end
lemma cSup_le_iff' {s : set α} (hs : bdd_above s) {a : α} : Sup s ≤ a ↔ ∀ x ∈ s, x ≤ a :=
is_lub_le_iff (is_lub_cSup' hs)
lemma cSup_le' {s : set α} {a : α} (h : a ∈ upper_bounds s) : Sup s ≤ a :=
(cSup_le_iff' ⟨a, h⟩).2 h
theorem le_cSup_iff' {s : set α} {a : α} (h : bdd_above s) :
a ≤ Sup s ↔ ∀ b, b ∈ upper_bounds s → a ≤ b :=
⟨λ h b hb, le_trans h (cSup_le' hb), λ hb, hb _ (λ x, le_cSup h)⟩
lemma le_csupr_iff' {s : ι → α} {a : α} (h : bdd_above (range s)) :
a ≤ supr s ↔ ∀ b, (∀ i, s i ≤ b) → a ≤ b :=
by simp [supr, h, le_cSup_iff', upper_bounds]
theorem le_cInf_iff'' {s : set α} {a : α} (ne : s.nonempty) :
a ≤ Inf s ↔ ∀ (b : α), b ∈ s → a ≤ b :=
le_cInf_iff ⟨⊥, λ a _, bot_le⟩ ne
theorem le_cinfi_iff' [nonempty ι] {f : ι → α} {a : α} :
a ≤ infi f ↔ ∀ i, a ≤ f i :=
le_cinfi_iff ⟨⊥, λ a _, bot_le⟩
theorem cInf_le' {s : set α} {a : α} (h : a ∈ s) : Inf s ≤ a :=
cInf_le ⟨⊥, λ a _, bot_le⟩ h
theorem cinfi_le' (f : ι → α) (i : ι) : infi f ≤ f i :=
cinfi_le ⟨⊥, λ a _, bot_le⟩ _
lemma exists_lt_of_lt_cSup' {s : set α} {a : α} (h : a < Sup s) : ∃ b ∈ s, a < b :=
by { contrapose! h, exact cSup_le' h }
lemma csupr_le_iff' {f : ι → α} (h : bdd_above (range f)) {a : α} :
(⨆ i, f i) ≤ a ↔ ∀ i, f i ≤ a :=
(cSup_le_iff' h).trans forall_range_iff
lemma csupr_le' {f : ι → α} {a : α} (h : ∀ i, f i ≤ a) : (⨆ i, f i) ≤ a :=
cSup_le' $ forall_range_iff.2 h
lemma exists_lt_of_lt_csupr' {f : ι → α} {a : α} (h : a < ⨆ i, f i) : ∃ i, a < f i :=
by { contrapose! h, exact csupr_le' h }
lemma csupr_mono' {ι'} {f : ι → α} {g : ι' → α} (hg : bdd_above (range g))
(h : ∀ i, ∃ i', f i ≤ g i') : supr f ≤ supr g :=
csupr_le' $ λ i, exists.elim (h i) (le_csupr_of_le hg)
lemma cInf_le_cInf' {s t : set α} (h₁ : t.nonempty) (h₂ : t ⊆ s) : Inf s ≤ Inf t :=
cInf_le_cInf (order_bot.bdd_below s) h₁ h₂
end conditionally_complete_linear_order_bot
namespace with_top
open_locale classical
variables [conditionally_complete_linear_order_bot α]
/-- The Sup of a non-empty set is its least upper bound for a conditionally
complete lattice with a top. -/
lemma is_lub_Sup' {β : Type*} [conditionally_complete_lattice β]
{s : set (with_top β)} (hs : s.nonempty) : is_lub s (Sup s) :=
begin
split,
{ show ite _ _ _ ∈ _,
split_ifs,
{ intros _ _, exact le_top },
{ rintro (⟨⟩|a) ha,
{ contradiction },
apply some_le_some.2,
exact le_cSup h_1 ha },
{ intros _ _, exact le_top } },
{ show ite _ _ _ ∈ _,
split_ifs,
{ rintro (⟨⟩|a) ha,
{ exact le_rfl },
{ exact false.elim (not_top_le_coe a (ha h)) } },
{ rintro (⟨⟩|b) hb,
{ exact le_top },
refine some_le_some.2 (cSup_le _ _),
{ rcases hs with ⟨⟨⟩|b, hb⟩,
{ exact absurd hb h },
{ exact ⟨b, hb⟩ } },
{ intros a ha, exact some_le_some.1 (hb ha) } },
{ rintro (⟨⟩|b) hb,
{ exact le_rfl },
{ exfalso, apply h_1, use b, intros a ha, exact some_le_some.1 (hb ha) } } }
end
lemma is_lub_Sup (s : set (with_top α)) : is_lub s (Sup s) :=
begin
cases s.eq_empty_or_nonempty with hs hs,
{ rw hs,
show is_lub ∅ (ite _ _ _),
split_ifs,
{ cases h },
{ rw [preimage_empty, cSup_empty], exact is_lub_empty },
{ exfalso, apply h_1, use ⊥, rintro a ⟨⟩ } },
exact is_lub_Sup' hs,
end
/-- The Inf of a bounded-below set is its greatest lower bound for a conditionally
complete lattice with a top. -/
lemma is_glb_Inf' {β : Type*} [conditionally_complete_lattice β]
{s : set (with_top β)} (hs : bdd_below s) : is_glb s (Inf s) :=
begin
split,
{ show ite _ _ _ ∈ _,
split_ifs,
{ intros a ha, exact top_le_iff.2 (set.mem_singleton_iff.1 (h ha)) },
{ rintro (⟨⟩|a) ha,
{ exact le_top },
refine some_le_some.2 (cInf_le _ ha),
rcases hs with ⟨⟨⟩|b, hb⟩,
{ exfalso,
apply h,
intros c hc,
rw [mem_singleton_iff, ←top_le_iff],
exact hb hc },
use b,
intros c hc,
exact some_le_some.1 (hb hc) } },
{ show ite _ _ _ ∈ _,
split_ifs,
{ intros _ _, exact le_top },
{ rintro (⟨⟩|a) ha,
{ exfalso, apply h, intros b hb, exact set.mem_singleton_iff.2 (top_le_iff.1 (ha hb)) },
{ refine some_le_some.2 (le_cInf _ _),
{ classical, contrapose! h,
rintros (⟨⟩|a) ha,
{ exact mem_singleton ⊤ },
{ exact (h ⟨a, ha⟩).elim }},
{ intros b hb,
rw ←some_le_some,
exact ha hb } } } }
end
lemma is_glb_Inf (s : set (with_top α)) : is_glb s (Inf s) :=
begin
by_cases hs : bdd_below s,
{ exact is_glb_Inf' hs },
{ exfalso, apply hs, use ⊥, intros _ _, exact bot_le },
end
noncomputable instance : complete_linear_order (with_top α) :=
{ Sup := Sup, le_Sup := λ s, (is_lub_Sup s).1, Sup_le := λ s, (is_lub_Sup s).2,
Inf := Inf, le_Inf := λ s, (is_glb_Inf s).2, Inf_le := λ s, (is_glb_Inf s).1,
.. with_top.linear_order, ..with_top.lattice, ..with_top.order_top, ..with_top.order_bot }
/-- A version of `with_top.coe_Sup'` with a more convenient but less general statement. -/
@[norm_cast] lemma coe_Sup {s : set α} (hb : bdd_above s) :
↑(Sup s) = (⨆ a ∈ s, ↑a : with_top α) :=
by rw [coe_Sup' hb, Sup_image]
/-- A version of `with_top.coe_Inf'` with a more convenient but less general statement. -/
@[norm_cast] lemma coe_Inf {s : set α} (hs : s.nonempty) :
↑(Inf s) = (⨅ a ∈ s, ↑a : with_top α) :=
by rw [coe_Inf' hs, Inf_image]
end with_top
namespace monotone
variables [preorder α] [conditionally_complete_lattice β] {f : α → β} (h_mono : monotone f)
/-! A monotone function into a conditionally complete lattice preserves the ordering properties of
`Sup` and `Inf`. -/
lemma le_cSup_image {s : set α} {c : α} (hcs : c ∈ s) (h_bdd : bdd_above s) :
f c ≤ Sup (f '' s) :=
le_cSup (map_bdd_above h_mono h_bdd) (mem_image_of_mem f hcs)
lemma cSup_image_le {s : set α} (hs : s.nonempty) {B : α} (hB: B ∈ upper_bounds s) :
Sup (f '' s) ≤ f B :=
cSup_le (nonempty.image f hs) (h_mono.mem_upper_bounds_image hB)
lemma cInf_image_le {s : set α} {c : α} (hcs : c ∈ s) (h_bdd : bdd_below s) :
Inf (f '' s) ≤ f c :=
@le_cSup_image αᵒᵈ βᵒᵈ _ _ _ (λ x y hxy, h_mono hxy) _ _ hcs h_bdd
lemma le_cInf_image {s : set α} (hs : s.nonempty) {B : α} (hB: B ∈ lower_bounds s) :
f B ≤ Inf (f '' s) :=
@cSup_image_le αᵒᵈ βᵒᵈ _ _ _ (λ x y hxy, h_mono hxy) _ hs _ hB
end monotone
namespace galois_connection
variables [conditionally_complete_lattice α] [conditionally_complete_lattice β] [nonempty ι]
{l : α → β} {u : β → α}
lemma l_cSup (gc : galois_connection l u) {s : set α} (hne : s.nonempty)
(hbdd : bdd_above s) :
l (Sup s) = ⨆ x : s, l x :=
eq.symm $ is_lub.csupr_set_eq (gc.is_lub_l_image $ is_lub_cSup hne hbdd) hne
lemma l_cSup' (gc : galois_connection l u) {s : set α} (hne : s.nonempty) (hbdd : bdd_above s) :
l (Sup s) = Sup (l '' s) :=
by rw [gc.l_cSup hne hbdd, Sup_image']
lemma l_csupr (gc : galois_connection l u) {f : ι → α}
(hf : bdd_above (range f)) :
l (⨆ i, f i) = ⨆ i, l (f i) :=
by rw [supr, gc.l_cSup (range_nonempty _) hf, supr_range']
lemma l_csupr_set (gc : galois_connection l u) {s : set γ} {f : γ → α}
(hf : bdd_above (f '' s)) (hne : s.nonempty) :
l (⨆ i : s, f i) = ⨆ i : s, l (f i) :=
by { haveI := hne.to_subtype, rw image_eq_range at hf, exact gc.l_csupr hf }
lemma u_cInf (gc : galois_connection l u) {s : set β} (hne : s.nonempty)
(hbdd : bdd_below s) :
u (Inf s) = ⨅ x : s, u x :=
gc.dual.l_cSup hne hbdd
lemma u_cInf' (gc : galois_connection l u) {s : set β} (hne : s.nonempty) (hbdd : bdd_below s) :
u (Inf s) = Inf (u '' s) :=
gc.dual.l_cSup' hne hbdd
lemma u_cinfi (gc : galois_connection l u) {f : ι → β}
(hf : bdd_below (range f)) :
u (⨅ i, f i) = ⨅ i, u (f i) :=
gc.dual.l_csupr hf
lemma u_cinfi_set (gc : galois_connection l u) {s : set γ} {f : γ → β}
(hf : bdd_below (f '' s)) (hne : s.nonempty) :
u (⨅ i : s, f i) = ⨅ i : s, u (f i) :=
gc.dual.l_csupr_set hf hne
end galois_connection
namespace order_iso
variables [conditionally_complete_lattice α] [conditionally_complete_lattice β] [nonempty ι]
lemma map_cSup (e : α ≃o β) {s : set α} (hne : s.nonempty) (hbdd : bdd_above s) :
e (Sup s) = ⨆ x : s, e x :=
e.to_galois_connection.l_cSup hne hbdd
lemma map_cSup' (e : α ≃o β) {s : set α} (hne : s.nonempty) (hbdd : bdd_above s) :
e (Sup s) = Sup (e '' s) :=
e.to_galois_connection.l_cSup' hne hbdd
lemma map_csupr (e : α ≃o β) {f : ι → α} (hf : bdd_above (range f)) :
e (⨆ i, f i) = ⨆ i, e (f i) :=
e.to_galois_connection.l_csupr hf
lemma map_csupr_set (e : α ≃o β) {s : set γ} {f : γ → α}
(hf : bdd_above (f '' s)) (hne : s.nonempty) :
e (⨆ i : s, f i) = ⨆ i : s, e (f i) :=
e.to_galois_connection.l_csupr_set hf hne
lemma map_cInf (e : α ≃o β) {s : set α} (hne : s.nonempty) (hbdd : bdd_below s) :
e (Inf s) = ⨅ x : s, e x :=
e.dual.map_cSup hne hbdd
lemma map_cInf' (e : α ≃o β) {s : set α} (hne : s.nonempty) (hbdd : bdd_below s) :
e (Inf s) = Inf (e '' s) :=
e.dual.map_cSup' hne hbdd
lemma map_cinfi (e : α ≃o β) {f : ι → α} (hf : bdd_below (range f)) :
e (⨅ i, f i) = ⨅ i, e (f i) :=
e.dual.map_csupr hf
lemma map_cinfi_set (e : α ≃o β) {s : set γ} {f : γ → α}
(hf : bdd_below (f '' s)) (hne : s.nonempty) :
e (⨅ i : s, f i) = ⨅ i : s, e (f i) :=
e.dual.map_csupr_set hf hne
end order_iso
/-!
### Supremum/infimum of `set.image2`
A collection of lemmas showing what happens to the suprema/infima of `s` and `t` when mapped under
a binary function whose partial evaluations are lower/upper adjoints of Galois connections.
-/
section
variables [conditionally_complete_lattice α] [conditionally_complete_lattice β]
[conditionally_complete_lattice γ] {f : α → β → γ} {s : set α} {t : set β}
variables {l u : α → β → γ} {l₁ u₁ : β → γ → α} {l₂ u₂ : α → γ → β}
lemma cSup_image2_eq_cSup_cSup (h₁ : ∀ b, galois_connection (swap l b) (u₁ b))
(h₂ : ∀ a, galois_connection (l a) (u₂ a))
(hs₀ : s.nonempty) (hs₁ : bdd_above s) (ht₀ : t.nonempty) (ht₁ : bdd_above t) :
Sup (image2 l s t) = l (Sup s) (Sup t) :=
begin
refine eq_of_forall_ge_iff (λ c, _),
rw [cSup_le_iff (hs₁.image2 (λ _, (h₁ _).monotone_l) (λ _, (h₂ _).monotone_l) ht₁)
(hs₀.image2 ht₀), forall_image2_iff, forall₂_swap, (h₂ _).le_iff_le, cSup_le_iff ht₁ ht₀],
simp_rw [←(h₂ _).le_iff_le, (h₁ _).le_iff_le, cSup_le_iff hs₁ hs₀],
end
lemma cSup_image2_eq_cSup_cInf (h₁ : ∀ b, galois_connection (swap l b) (u₁ b))
(h₂ : ∀ a, galois_connection (l a ∘ of_dual) (to_dual ∘ u₂ a)) :
s.nonempty → bdd_above s → t.nonempty → bdd_below t → Sup (image2 l s t) = l (Sup s) (Inf t) :=
@cSup_image2_eq_cSup_cSup _ βᵒᵈ _ _ _ _ _ _ _ _ _ h₁ h₂
lemma cSup_image2_eq_cInf_cSup (h₁ : ∀ b, galois_connection (swap l b ∘ of_dual) (to_dual ∘ u₁ b))
(h₂ : ∀ a, galois_connection (l a) (u₂ a)) :
s.nonempty → bdd_below s → t.nonempty → bdd_above t → Sup (image2 l s t) = l (Inf s) (Sup t) :=
@cSup_image2_eq_cSup_cSup αᵒᵈ _ _ _ _ _ _ _ _ _ _ h₁ h₂
lemma cSup_image2_eq_cInf_cInf (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)) :
s.nonempty → bdd_below s → t.nonempty → bdd_below t → Sup (image2 l s t) = l (Inf s) (Inf t) :=
@cSup_image2_eq_cSup_cSup αᵒᵈ βᵒᵈ _ _ _ _ _ _ _ _ _ h₁ h₂
lemma cInf_image2_eq_cInf_cInf (h₁ : ∀ b, galois_connection (l₁ b) (swap u b))
(h₂ : ∀ a, galois_connection (l₂ a) (u a)) :
s.nonempty → bdd_below s → t.nonempty → bdd_below t →
Inf (image2 u s t) = u (Inf s) (Inf t) :=
@cSup_image2_eq_cSup_cSup αᵒᵈ βᵒᵈ γᵒᵈ _ _ _ _ _ _ l₁ l₂ (λ _, (h₁ _).dual) (λ _, (h₂ _).dual)
lemma cInf_image2_eq_cInf_cSup (h₁ : ∀ b, galois_connection (l₁ b) (swap u b))
(h₂ : ∀ a, galois_connection (to_dual ∘ l₂ a) (u a ∘ of_dual)) :
s.nonempty → bdd_below s → t.nonempty → bdd_above t → Inf (image2 u s t) = u (Inf s) (Sup t) :=
@cInf_image2_eq_cInf_cInf _ βᵒᵈ _ _ _ _ _ _ _ _ _ h₁ h₂
lemma cInf_image2_eq_cSup_cInf (h₁ : ∀ b, galois_connection (to_dual ∘ l₁ b) (swap u b ∘ of_dual))
(h₂ : ∀ a, galois_connection (l₂ a) (u a)) :
s.nonempty → bdd_above s → t.nonempty → bdd_below t → Inf (image2 u s t) = u (Sup s) (Inf t) :=
@cInf_image2_eq_cInf_cInf αᵒᵈ _ _ _ _ _ _ _ _ _ _ h₁ h₂
lemma cInf_image2_eq_cSup_cSup (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)) :
s.nonempty → bdd_above s → t.nonempty → bdd_above t → Inf (image2 u s t) = u (Sup s) (Sup t) :=
@cInf_image2_eq_cInf_cInf αᵒᵈ βᵒᵈ _ _ _ _ _ _ _ _ _ h₁ h₂
end
section with_top_bot
/-!
### Complete lattice structure on `with_top (with_bot α)`
If `α` is a `conditionally_complete_lattice`, then we show that `with_top α` and `with_bot α`
also inherit the structure of conditionally complete lattices. Furthermore, we show
that `with_top (with_bot α)` and `with_bot (with_top α)` naturally inherit the structure of a
complete lattice. Note that for `α` a conditionally complete lattice, `Sup` and `Inf` both return
junk values for sets which are empty or unbounded. The extension of `Sup` to `with_top α` fixes
the unboundedness problem and the extension to `with_bot α` fixes the problem with
the empty set.
This result can be used to show that the extended reals `[-∞, ∞]` are a complete linear order.
-/
open_locale classical
/-- Adding a top element to a conditionally complete lattice
gives a conditionally complete lattice -/
noncomputable instance with_top.conditionally_complete_lattice
{α : Type*} [conditionally_complete_lattice α] :
conditionally_complete_lattice (with_top α) :=
{ le_cSup := λ S a hS haS, (with_top.is_lub_Sup' ⟨a, haS⟩).1 haS,
cSup_le := λ S a hS haS, (with_top.is_lub_Sup' hS).2 haS,
cInf_le := λ S a hS haS, (with_top.is_glb_Inf' hS).1 haS,
le_cInf := λ S a hS haS, (with_top.is_glb_Inf' ⟨a, haS⟩).2 haS,
..with_top.lattice,
..with_top.has_Sup,
..with_top.has_Inf }
/-- Adding a bottom element to a conditionally complete lattice
gives a conditionally complete lattice -/
noncomputable instance with_bot.conditionally_complete_lattice
{α : Type*} [conditionally_complete_lattice α] :
conditionally_complete_lattice (with_bot α) :=
{ le_cSup := (@with_top.conditionally_complete_lattice αᵒᵈ _).cInf_le,
cSup_le := (@with_top.conditionally_complete_lattice αᵒᵈ _).le_cInf,
cInf_le := (@with_top.conditionally_complete_lattice αᵒᵈ _).le_cSup,
le_cInf := (@with_top.conditionally_complete_lattice αᵒᵈ _).cSup_le,
..with_bot.lattice,
..with_bot.has_Sup,
..with_bot.has_Inf }
noncomputable instance with_top.with_bot.complete_lattice {α : Type*}
[conditionally_complete_lattice α] : complete_lattice (with_top (with_bot α)) :=
{ le_Sup := λ S a haS, (with_top.is_lub_Sup' ⟨a, haS⟩).1 haS,
Sup_le := λ S a ha,
begin
cases S.eq_empty_or_nonempty with h,
{ show ite _ _ _ ≤ a,
split_ifs,
{ rw h at h_1, cases h_1 },
{ convert bot_le, convert with_bot.cSup_empty, rw h, refl },
{ exfalso, apply h_2, use ⊥, rw h, rintro b ⟨⟩ } },
{ refine (with_top.is_lub_Sup' h).2 ha }
end,
Inf_le := λ S a haS,
show ite _ _ _ ≤ a,
begin
split_ifs,
{ cases a with a, exact le_rfl,
cases (h haS); tauto },
{ cases a,
{ exact le_top },
{ apply with_top.some_le_some.2, refine cInf_le _ haS, use ⊥, intros b hb, exact bot_le } }
end,
le_Inf := λ S a haS, (with_top.is_glb_Inf' ⟨a, haS⟩).2 haS,
..with_top.has_Inf,
..with_top.has_Sup,
..with_top.bounded_order,
..with_top.lattice }
noncomputable instance with_top.with_bot.complete_linear_order {α : Type*}
[conditionally_complete_linear_order α] : complete_linear_order (with_top (with_bot α)) :=
{ .. with_top.with_bot.complete_lattice,
.. with_top.linear_order }
noncomputable instance with_bot.with_top.complete_lattice {α : Type*}
[conditionally_complete_lattice α] : complete_lattice (with_bot (with_top α)) :=
{ le_Sup := (@with_top.with_bot.complete_lattice αᵒᵈ _).Inf_le,
Sup_le := (@with_top.with_bot.complete_lattice αᵒᵈ _).le_Inf,
Inf_le := (@with_top.with_bot.complete_lattice αᵒᵈ _).le_Sup,
le_Inf := (@with_top.with_bot.complete_lattice αᵒᵈ _).Sup_le,
..with_bot.has_Inf,
..with_bot.has_Sup,
..with_bot.bounded_order,
..with_bot.lattice }
noncomputable instance with_bot.with_top.complete_linear_order {α : Type*}
[conditionally_complete_linear_order α] : complete_linear_order (with_bot (with_top α)) :=
{ .. with_bot.with_top.complete_lattice,
.. with_bot.linear_order }
lemma with_top.supr_coe_eq_top {ι : Sort*} {α : Type*} [conditionally_complete_linear_order_bot α]
(f : ι → α) : (⨆ x, (f x : with_top α)) = ⊤ ↔ ¬ bdd_above (set.range f) :=
begin
rw [supr_eq_top, not_bdd_above_iff],
refine ⟨λ hf r, _, λ hf a ha, _⟩,
{ rcases hf r (with_top.coe_lt_top r) with ⟨i, hi⟩,
exact ⟨f i, ⟨i, rfl⟩, with_top.coe_lt_coe.mp hi⟩ },
{ rcases hf (a.untop ha.ne) with ⟨-, ⟨i, rfl⟩, hi⟩,
exact ⟨i, by simpa only [with_top.coe_untop _ ha.ne] using with_top.coe_lt_coe.mpr hi⟩ },
end
lemma with_top.supr_coe_lt_top {ι : Sort*} {α : Type*} [conditionally_complete_linear_order_bot α]
(f : ι → α) : (⨆ x, (f x : with_top α)) < ⊤ ↔ bdd_above (set.range f) :=
lt_top_iff_ne_top.trans $ (with_top.supr_coe_eq_top f).not.trans not_not
end with_top_bot
-- Guard against import creep
assert_not_exists multiset
|
17783f80e7f5f22315166c9bc309d0cbed7ea1c1 | e00ea76a720126cf9f6d732ad6216b5b824d20a7 | /src/data/set/function.lean | f47b2c72c945e7873201ab8ba58ef803675c129e | [
"Apache-2.0"
] | permissive | vaibhavkarve/mathlib | a574aaf68c0a431a47fa82ce0637f0f769826bfe | 17f8340912468f49bdc30acdb9a9fa02eeb0473a | refs/heads/master | 1,621,263,802,637 | 1,585,399,588,000 | 1,585,399,588,000 | 250,833,447 | 0 | 0 | Apache-2.0 | 1,585,410,341,000 | 1,585,410,341,000 | null | UTF-8 | Lean | false | false | 17,563 | lean | /-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Jeremy Avigad, Andrew Zipperer, Haitao Zhang, Minchao Wu, Yury Kudryashov
-/
import data.set.basic logic.function
/-! # Functions over sets
## Main definitions
### Predicate
* `eq_on f₁ f₂ s` : functions `f₁` and `f₂` are equal at every point of `s`;
* `maps_to f s t` : `f` sends every point of `s` to a point of `t`;
* `inj_on f s` : restriction of `f` to `s` is injective;
* `surj_on f s t` : every point in `s` has a preimage in `s`;
* `bij_on f s t` : `f` is a bijection between `s` and `t`;
* `left_inv_on f' f s` : for every `x ∈ s` we have `f' (f x) = x`;
* `right_inv_on f' f t` : for every `y ∈ t` we have `f (f' y) = y`;
* `inv_on f' f s t` : `f'` is a two-side inverse of `f` on `s` and `t`, i.e.
we have `left_inv_on f' f s` and `right_inv_on f' f t`.
### Functions
* `restrict f s` : restrict the domain of `f` to the set `s`;
* `cod_restrict f s h` : given `h : ∀ x, f x ∈ s`, restrict the codomain of `f` to the set `s`;
* `maps_to.restrict f s t h`: given `h : maps_to f s t`, restrict the domain of `f` to `s`
and the codomain to `t`.
-/
universes u v w x y
variables {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x}
open function
namespace set
/-! ### Restrict -/
/-- Restrict domain of a function `f` to a set `s`. Same as `subtype.restrict` but this version
takes an argument `↥s` instead of `subtype s`. -/
def restrict (f : α → β) (s : set α) : s → β := λ x, f x
lemma restrict_eq (f : α → β) (s : set α) : s.restrict f = f ∘ coe := rfl
@[simp] lemma restrict_apply (f : α → β) (s : set α) (x : s) : restrict f s x = f x := rfl
@[simp] lemma range_restrict (f : α → β) (s : set α) : set.range (restrict f s) = f '' s :=
range_comp.trans $ congr_arg (('') f) s.range_coe_subtype
/-- Restrict codomain of a function `f` to a set `s`. Same as `subtype.coind` but this version
has codomain `↥s` instead of `subtype s`. -/
def cod_restrict (f : α → β) (s : set β) (h : ∀ x, f x ∈ s) : α → s :=
λ x, ⟨f x, h x⟩
@[simp] lemma coe_cod_restrict_apply (f : α → β) (s : set β) (h : ∀ x, f x ∈ s) (x : α) :
(cod_restrict f s h x : β) = f x :=
rfl
variables {s s₁ s₂ : set α} {t t₁ t₂ : set β} {p : set γ} {f f₁ f₂ f₃ : α → β} {g : β → γ}
{f' f₁' f₂' : β → α} {g' : γ → β}
/-! ### Equality on a set -/
/-- Two functions `f₁ f₂ : α → β` are equal on `s`
if `f₁ x = f₂ x` for all `x ∈ a`. -/
@[reducible] def eq_on (f₁ f₂ : α → β) (s : set α) : Prop :=
∀ ⦃x⦄, x ∈ s → f₁ x = f₂ x
@[symm] lemma eq_on.symm (h : eq_on f₁ f₂ s) : eq_on f₂ f₁ s :=
λ x hx, (h hx).symm
lemma eq_on_comm : eq_on f₁ f₂ s ↔ eq_on f₂ f₁ s :=
⟨eq_on.symm, eq_on.symm⟩
@[refl] lemma eq_on_refl (f : α → β) (s : set α) : eq_on f f s :=
λ _ _, rfl
@[trans] lemma eq_on.trans (h₁ : eq_on f₁ f₂ s) (h₂ : eq_on f₂ f₃ s) : eq_on f₁ f₃ s :=
λ x hx, (h₁ hx).trans (h₂ hx)
theorem eq_on.image_eq (heq : eq_on f₁ f₂ s) : f₁ '' s = f₂ '' s :=
image_congr heq
lemma eq_on.mono (hs : s₁ ⊆ s₂) (hf : eq_on f₁ f₂ s₂) : eq_on f₁ f₂ s₁ :=
λ x hx, hf (hs hx)
/-! ### maps to -/
/-- `maps_to f a b` means that the image of `a` is contained in `b`. -/
@[reducible] def maps_to (f : α → β) (s : set α) (t : set β) : Prop := s ⊆ f ⁻¹' t
/-- Given a map `f` sending `s : set α` into `t : set β`, restrict domain of `f` to `s`
and the codomain to `t`. Same as `subtype.map`. -/
def maps_to.restrict (f : α → β) (s : set α) (t : set β) (h : maps_to f s t) :
s → t :=
subtype.map f h
@[simp] lemma maps_to.coe_restrict_apply (h : maps_to f s t) (x : s) :
(h.restrict f s t x : β) = f x := rfl
theorem maps_to' : maps_to f s t ↔ f '' s ⊆ t :=
image_subset_iff.symm
theorem maps_to_empty (f : α → β) (t : set β) : maps_to f ∅ t := empty_subset _
theorem maps_to.image_subset (h : maps_to f s t) : f '' s ⊆ t :=
maps_to'.1 h
theorem maps_to.congr (h₁ : maps_to f₁ s t) (h : eq_on f₁ f₂ s) :
maps_to f₂ s t :=
λ x hx, by rw [mem_preimage, ← h hx]; exact h₁ hx
theorem eq_on.maps_to_iff (H : eq_on f₁ f₂ s) : maps_to f₁ s t ↔ maps_to f₂ s t :=
⟨λ h, h.congr H, λ h, h.congr H.symm⟩
theorem maps_to.comp (h₁ : maps_to g t p) (h₂ : maps_to f s t) : maps_to (g ∘ f) s p :=
λ x h, h₁ (h₂ h)
theorem maps_to.iterate {f : α → α} {s : set α} (h : maps_to f s s) :
∀ n, maps_to (f^[n]) s s
| 0 := λ _, id
| (n+1) := (maps_to.iterate n).comp h
theorem maps_to.iterate_restrict {f : α → α} {s : set α} (h : maps_to f s s) (n : ℕ) :
(h.restrict f s s^[n]) = (h.iterate n).restrict _ _ _ :=
begin
funext x,
rw [subtype.coe_ext, maps_to.coe_restrict_apply],
induction n with n ihn generalizing x,
{ refl },
{ simp [nat.iterate, ihn] }
end
theorem maps_to.mono (hs : s₂ ⊆ s₁) (ht : t₁ ⊆ t₂) (hf : maps_to f s₁ t₁) :
maps_to f s₂ t₂ :=
λ x hx, ht (hf $ hs hx)
theorem maps_to_univ (f : α → β) (s : set α) : maps_to f s univ := λ x h, trivial
theorem maps_to_image (f : α → β) (s : set α) : maps_to f s (f '' s) := by rw maps_to'
theorem maps_to_preimage (f : α → β) (t : set β) : maps_to f (f ⁻¹' t) t := subset.refl _
theorem maps_to_range (f : set α) (s : set α) : maps_to f s (range f) :=
(maps_to_image f s).mono (subset.refl s) (image_subset_range _ _)
/-! ### Injectivity on a set -/
/-- `f` is injective on `a` if the restriction of `f` to `a` is injective. -/
@[reducible] def inj_on (f : α → β) (s : set α) : Prop :=
∀⦃x₁ x₂ : α⦄, x₁ ∈ s → x₂ ∈ s → f x₁ = f x₂ → x₁ = x₂
theorem inj_on_empty (f : α → β) : inj_on f ∅ :=
λ _ _ h₁ _ _, false.elim h₁
theorem inj_on.congr (h₁ : inj_on f₁ s) (h : eq_on f₁ f₂ s) :
inj_on f₂ s :=
λ x y hx hy, h hx ▸ h hy ▸ h₁ hx hy
theorem eq_on.inj_on_iff (H : eq_on f₁ f₂ s) : inj_on f₁ s ↔ inj_on f₂ s :=
⟨λ h, h.congr H, λ h, h.congr H.symm⟩
theorem inj_on.mono (h : s₁ ⊆ s₂) (ht : inj_on f s₂) : inj_on f s₁ :=
λ x y hx hy H, ht (h hx) (h hy) H
lemma injective_iff_inj_on_univ : injective f ↔ inj_on f univ :=
⟨λ h x y hx hy hxy, h hxy, λ h _ _ heq, h trivial trivial heq⟩
theorem inj_on.comp (hg : inj_on g t) (hf: inj_on f s) (h : maps_to f s t) :
inj_on (g ∘ f) s :=
λ x y hx hy heq, hf hx hy $ hg (h hx) (h hy) heq
lemma inj_on_iff_injective : inj_on f s ↔ injective (restrict f s) :=
⟨λ H a b h, subtype.eq $ H a.2 b.2 h,
λ H a b as bs h, congr_arg subtype.val $ @H ⟨a, as⟩ ⟨b, bs⟩ h⟩
lemma inj_on.inv_fun_on_image [nonempty α] (h : inj_on f s₂) (ht : s₁ ⊆ s₂) :
(inv_fun_on f s₂) '' (f '' s₁) = s₁ :=
begin
have : eq_on ((inv_fun_on f s₂) ∘ f) id s₁, from λz hz, inv_fun_on_eq' h (ht hz),
rw [← image_comp, this.image_eq, image_id]
end
lemma inj_on_preimage {B : set (set β)} (hB : B ⊆ powerset (range f)) :
inj_on (preimage f) B :=
begin
intros s t hs ht hst,
rw [←image_preimage_eq_of_subset (hB hs), ←image_preimage_eq_of_subset (hB ht), hst]
end
/-! ### Surjectivity on a set -/
/-- `f` is surjective from `a` to `b` if `b` is contained in the image of `a`. -/
@[reducible] def surj_on (f : α → β) (s : set α) (t : set β) : Prop := t ⊆ f '' s
theorem surj_on_empty (f : α → β) (s : set α) : surj_on f s ∅ := empty_subset _
theorem surj_on.comap_nonempty (h : surj_on f s t) (ht : t.nonempty) : s.nonempty :=
(ht.mono h).of_image
theorem surj_on.congr (h : surj_on f₁ s t) (H : eq_on f₁ f₂ s) : surj_on f₂ s t :=
by rwa [surj_on, ← H.image_eq]
theorem eq_on.surj_on_iff (h : eq_on f₁ f₂ s) : surj_on f₁ s t ↔ surj_on f₂ s t :=
⟨λ H, H.congr h, λ H, H.congr h.symm⟩
theorem surj_on.mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) (hf : surj_on f s₁ t₂) : surj_on f s₂ t₁ :=
subset.trans ht $ subset.trans hf $ image_subset _ hs
theorem surj_on.comp (hg : surj_on g t p) (hf : surj_on f s t) : surj_on (g ∘ f) s p :=
subset.trans hg $ subset.trans (image_subset g hf) $ (image_comp g f s) ▸ subset.refl _
lemma surjective_iff_surj_on_univ : surjective f ↔ surj_on f univ univ :=
by simp [surjective, surj_on, subset_def]
lemma surj_on_iff_surjective : surj_on f s univ ↔ surjective (restrict f s) :=
⟨λ H b, let ⟨a, as, e⟩ := @H b trivial in ⟨⟨a, as⟩, e⟩,
λ H b _, let ⟨⟨a, as⟩, e⟩ := H b in ⟨a, as, e⟩⟩
lemma surj_on.image_eq_of_maps_to (h₁ : surj_on f s t) (h₂ : maps_to f s t) :
f '' s = t :=
eq_of_subset_of_subset h₂.image_subset h₁
/-! ### Bijectivity -/
/-- `f` is bijective from `s` to `t` if `f` is injective on `s` and `f '' s = t`. -/
@[reducible] def bij_on (f : α → β) (s : set α) (t : set β) : Prop :=
maps_to f s t ∧ inj_on f s ∧ surj_on f s t
lemma bij_on.maps_to (h : bij_on f s t) : maps_to f s t := h.left
lemma bij_on.inj_on (h : bij_on f s t) : inj_on f s := h.right.left
lemma bij_on.surj_on (h : bij_on f s t) : surj_on f s t := h.right.right
lemma bij_on.mk (h₁ : maps_to f s t) (h₂ : inj_on f s) (h₃ : surj_on f s t) :
bij_on f s t :=
⟨h₁, h₂, h₃⟩
lemma bij_on_empty (f : α → β) : bij_on f ∅ ∅ :=
⟨maps_to_empty f ∅, inj_on_empty f, surj_on_empty f ∅⟩
lemma inj_on.bij_on_image (h : inj_on f s) : bij_on f s (f '' s) :=
bij_on.mk (maps_to_image f s) h (subset.refl _)
theorem bij_on.congr (h₁ : bij_on f₁ s t) (h : eq_on f₁ f₂ s) :
bij_on f₂ s t :=
bij_on.mk (h₁.maps_to.congr h) (h₁.inj_on.congr h) (h₁.surj_on.congr h)
theorem eq_on.bij_on_iff (H : eq_on f₁ f₂ s) : bij_on f₁ s t ↔ bij_on f₂ s t :=
⟨λ h, h.congr H, λ h, h.congr H.symm⟩
lemma bij_on.image_eq (h : bij_on f s t) :
f '' s = t :=
h.surj_on.image_eq_of_maps_to h.maps_to
theorem bij_on.comp (hg : bij_on g t p) (hf : bij_on f s t) : bij_on (g ∘ f) s p :=
bij_on.mk (hg.maps_to.comp hf.maps_to) (hg.inj_on.comp hf.inj_on hf.maps_to)
(hg.surj_on.comp hf.surj_on)
lemma bijective_iff_bij_on_univ : bijective f ↔ bij_on f univ univ :=
iff.intro
(λ h, let ⟨inj, surj⟩ := h in
⟨maps_to_univ f _, iff.mp injective_iff_inj_on_univ inj, iff.mp surjective_iff_surj_on_univ surj⟩)
(λ h, let ⟨map, inj, surj⟩ := h in
⟨iff.mpr injective_iff_inj_on_univ inj, iff.mpr surjective_iff_surj_on_univ surj⟩)
/-! ### left inverse -/
/-- `g` is a left inverse to `f` on `a` means that `g (f x) = x` for all `x ∈ a`. -/
@[reducible] def left_inv_on (f' : β → α) (f : α → β) (s : set α) : Prop :=
∀ ⦃x⦄, x ∈ s → f' (f x) = x
lemma left_inv_on.eq_on (h : left_inv_on f' f s) : eq_on (f' ∘ f) id s := h
lemma left_inv_on.eq (h : left_inv_on f' f s) {x} (hx : x ∈ s) : f' (f x) = x := h hx
lemma left_inv_on.congr_left (h₁ : left_inv_on f₁' f s)
{t : set β} (h₁' : maps_to f s t) (heq : eq_on f₁' f₂' t) : left_inv_on f₂' f s :=
λ x hx, heq (h₁' hx) ▸ h₁ hx
theorem left_inv_on.congr_right (h₁ : left_inv_on f₁' f₁ s) (heq : eq_on f₁ f₂ s) :
left_inv_on f₁' f₂ s :=
λ x hx, heq hx ▸ h₁ hx
theorem left_inv_on.inj_on (h : left_inv_on f₁' f s) : inj_on f s :=
λ x₁ x₂ h₁ h₂ heq,
calc
x₁ = f₁' (f x₁) : eq.symm $ h h₁
... = f₁' (f x₂) : congr_arg f₁' heq
... = x₂ : h h₂
theorem left_inv_on.surj_on (h : left_inv_on f₁' f s) (hf : maps_to f s t) : surj_on f₁' t s :=
λ x hx, ⟨f x, hf hx, h hx⟩
theorem left_inv_on.comp (hf' : left_inv_on f' f s) (hg' : left_inv_on g' g t) (hf : maps_to f s t) :
left_inv_on (f' ∘ g') (g ∘ f) s :=
λ x h,
calc
(f' ∘ g') ((g ∘ f) x) = f' (f x) : congr_arg f' (hg' (hf h))
... = x : hf' h
/-! ### Right inverse -/
/-- `g` is a right inverse to `f` on `b` if `f (g x) = x` for all `x ∈ b`. -/
@[reducible] def right_inv_on (f' : β → α) (f : α → β) (t : set β) : Prop :=
left_inv_on f f' t
lemma right_inv_on.eq_on (h : right_inv_on f' f t) : eq_on (f ∘ f') id t := h
lemma right_inv_on.eq (h : right_inv_on f' f t) {y} (hy : y ∈ t) : f (f' y) = y := h hy
theorem right_inv_on.congr_left (h₁ : right_inv_on f₁' f t) (heq : eq_on f₁' f₂' t) :
right_inv_on f₂' f t :=
h₁.congr_right heq
theorem right_inv_on.congr_right (h₁ : right_inv_on f' f₁ t) (hg : maps_to f' t s)
(heq : eq_on f₁ f₂ s) : right_inv_on f' f₂ t :=
left_inv_on.congr_left h₁ hg heq
theorem right_inv_on.surj_on (hf : right_inv_on f' f t) (hf' : maps_to f' t s) :
surj_on f s t :=
hf.surj_on hf'
theorem right_inv_on.comp (hf : right_inv_on f' f t) (hg : right_inv_on g' g p)
(g'pt : maps_to g' p t) : right_inv_on (f' ∘ g') (g ∘ f) p :=
hg.comp hf g'pt
theorem inj_on.right_inv_on_of_left_inv_on (hf : inj_on f s) (hf' : left_inv_on f f' t)
(h₁ : maps_to f s t) (h₂ : maps_to f' t s) :
right_inv_on f f' s :=
λ x h, hf (h₂ $ h₁ h) h (hf' (h₁ h))
theorem eq_on_of_left_inv_of_right_inv (h₁ : left_inv_on f₁' f s) (h₂ : right_inv_on f₂' f t)
(h : maps_to f₂' t s) : eq_on f₁' f₂' t :=
λ y hy,
calc
f₁' y = (f₁' ∘ f ∘ f₂') y : congr_arg f₁' (h₂ hy).symm
... = f₂' y : h₁ (h hy)
theorem surj_on.left_inv_on_of_right_inv_on (hf : surj_on f s t) (hf' : right_inv_on f f' s) :
left_inv_on f f' t :=
λ y hy, let ⟨x, hx, heq⟩ := hf hy in by rw [← heq, hf' hx]
/-! ### Two-side inverses -/
/-- `g` is an inverse to `f` viewed as a map from `a` to `b` -/
@[reducible] def inv_on (g : β → α) (f : α → β) (s : set α) (t : set β) : Prop :=
left_inv_on g f s ∧ right_inv_on g f t
lemma inv_on.symm (h : inv_on f' f s t) : inv_on f f' t s := ⟨h.right, h.left⟩
theorem inv_on.bij_on (h : inv_on f' f s t) (hf : maps_to f s t) (hf' : maps_to f' t s) : bij_on f s t :=
⟨hf, h.left.inj_on, h.right.surj_on hf'⟩
/-! ### `inv_fun_on` is a left/right inverse -/
theorem inj_on.left_inv_on_inv_fun_on [nonempty α] (h : inj_on f s) :
left_inv_on (inv_fun_on f s) f s :=
λ x hx, inv_fun_on_eq' h hx
theorem surj_on.right_inv_on_inv_fun_on [nonempty α] (h : surj_on f s t) :
right_inv_on (inv_fun_on f s) f t :=
λ y hy, inv_fun_on_eq $ mem_image_iff_bex.1 $ h hy
theorem bij_on.inv_on_inv_fun_on [nonempty α] (h : bij_on f s t) :
inv_on (inv_fun_on f s) f s t :=
⟨h.inj_on.left_inv_on_inv_fun_on, h.surj_on.right_inv_on_inv_fun_on⟩
theorem surj_on.inv_on_inv_fun_on [nonempty α] (h : surj_on f s t) :
inv_on (inv_fun_on f s) f (inv_fun_on f s '' t) t :=
begin
refine ⟨_, h.right_inv_on_inv_fun_on⟩,
rintros _ ⟨y, hy, rfl⟩,
rw [h.right_inv_on_inv_fun_on hy]
end
theorem surj_on.maps_to_inv_fun_on [nonempty α] (h : surj_on f s t) :
maps_to (inv_fun_on f s) t s :=
λ y hy, mem_preimage.2 $ inv_fun_on_mem $ mem_image_iff_bex.1 $ h hy
theorem surj_on.bij_on_subset [nonempty α] (h : surj_on f s t) :
bij_on f (inv_fun_on f s '' t) t :=
begin
refine h.inv_on_inv_fun_on.bij_on _ (maps_to_image _ _),
rintros _ ⟨y, hy, rfl⟩,
rwa [mem_preimage, h.right_inv_on_inv_fun_on hy]
end
theorem surj_on_iff_exists_bij_on_subset :
surj_on f s t ↔ ∃ s' ⊆ s, bij_on f s' t :=
begin
split,
{ rcases eq_empty_or_nonempty t with rfl|ht,
{ exact λ _, ⟨∅, empty_subset _, bij_on_empty f⟩ },
{ assume h,
haveI : nonempty α := ⟨classical.some (h.comap_nonempty ht)⟩,
exact ⟨_, h.maps_to_inv_fun_on.image_subset, h.bij_on_subset⟩ }},
{ rintros ⟨s', hs', hfs'⟩,
exact hfs'.surj_on.mono hs' (subset.refl _) }
end
end set
/-! ### Piecewise defined function -/
namespace set
variables {δ : α → Sort y} (s : set α) (f g : Πi, δ i)
@[simp] lemma piecewise_empty [∀i : α, decidable (i ∈ (∅ : set α))] : piecewise ∅ f g = g :=
by { ext i, simp [piecewise] }
@[simp] lemma piecewise_univ [∀i : α, decidable (i ∈ (set.univ : set α))] :
piecewise set.univ f g = f :=
by { ext i, simp [piecewise] }
@[simp] lemma piecewise_insert_self {j : α} [∀i, decidable (i ∈ insert j s)] :
(insert j s).piecewise f g j = f j :=
by simp [piecewise]
variable [∀j, decidable (j ∈ s)]
lemma piecewise_insert [decidable_eq α] (j : α) [∀i, decidable (i ∈ insert j s)] :
(insert j s).piecewise f g = function.update (s.piecewise f g) j (f j) :=
begin
simp [piecewise],
ext i,
by_cases h : i = j,
{ rw h, simp },
{ by_cases h' : i ∈ s; simp [h, h'] }
end
@[simp, priority 990]
lemma piecewise_eq_of_mem {i : α} (hi : i ∈ s) : s.piecewise f g i = f i :=
by simp [piecewise, hi]
@[simp, priority 990]
lemma piecewise_eq_of_not_mem {i : α} (hi : i ∉ s) : s.piecewise f g i = g i :=
by simp [piecewise, hi]
@[simp, priority 990]
lemma piecewise_insert_of_ne {i j : α} (h : i ≠ j) [∀i, decidable (i ∈ insert j s)] :
(insert j s).piecewise f g i = s.piecewise f g i :=
by { simp [piecewise, h], congr }
end set
namespace function
open set
variables {f : α → β} {g : β → γ} {s : set α}
lemma injective.inj_on (h : injective f) (s : set α) : s.inj_on f :=
λ _ _ _ _ heq, h heq
lemma injective.comp_inj_on (hg : injective g) (hf : s.inj_on f) : s.inj_on (g ∘ f) :=
(hg.inj_on univ).comp hf (maps_to_univ _ _)
lemma surjective.surj_on (hf : surjective f) (s : set β) :
surj_on f univ s :=
(surjective_iff_surj_on_univ.1 hf).mono (subset.refl _) (subset_univ _)
end function
|
32706da479d00b23f93371c4b6180a99dd2bfb93 | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/set_theory/ordinal.lean | defcf542a2ac0d69b19bdb11de11b0146daaff6a | [
"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 | 58,136 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn
-/
import set_theory.cardinal
import order.conditionally_complete_lattice
/-!
# Ordinals
Ordinals are defined as equivalences of well-ordered sets under order isomorphism. They are endowed
with a total order, where an ordinal is smaller than another one if it embeds into it as an
initial segment (or, equivalently, in any way). This total order is well founded.
## Main definitions
* `initial_seg r s`: type of order embeddings of `r` into `s` for which the range is an initial
segment (i.e., if `b` belongs to the range, then any `b' < b` also belongs to the range).
It is denoted by `r ≼i s`.
* `principal_seg r s`: Type of order embeddings of `r` into `s` for which the range is a principal
segment, i.e., an interval of the form `(-∞, top)` for some element `top`. It is denoted by
`r ≺i s`.
* `ordinal`: the type of ordinals (in a given universe)
* `ordinal.type r`: given a well-founded order `r`, this is the corresponding ordinal
* `ordinal.typein r a`: given a well-founded order `r` on a type `α`, and `a : α`, the ordinal
corresponding to all elements smaller than `a`.
* `enum r o h`: given a well-order `r` on a type `α`, and an ordinal `o` strictly smaller than
the ordinal corresponding to `r` (this is the assumption `h`), returns the `o`-th element of `α`.
In other words, the elements of `α` can be enumerated using ordinals up to `type r`.
* `ordinal.card o`: the cardinality of an ordinal `o`.
* `ordinal.lift` lifts an ordinal in universe `u` to an ordinal in universe `max u v`.
For a version registering additionally that this is an initial segment embedding, see
`ordinal.lift.initial_seg`.
For a version regiserting that it is a principal segment embedding if `u < v`, see
`ordinal.lift.principal_seg`.
* `ordinal.omega` is the first infinite ordinal. It is the order type of `ℕ`.
* `o₁ + o₂` is the order on the disjoint union of `o₁` and `o₂` obtained by declaring that
every element of `o₁` is smaller than every element of `o₂`. The main properties of addition
(and the other operations on ordinals) are stated and proved in `ordinal_arithmetic.lean`. Here,
we only introduce it and prove its basic properties to deduce the fact that the order on ordinals
is total (and well founded).
* `succ o` is the successor of the ordinal `o`.
* `ordinal.min`: the minimal element of a nonempty indexed family of ordinals
* `ordinal.omin` : the minimal element of a nonempty set of ordinals
* `cardinal.ord c`: when `c` is a cardinal, `ord c` is the smallest ordinal with this cardinality.
It is the canonical way to represent a cardinal with an ordinal.
A conditionally complete linear order with bot structure is registered on ordinals, where `⊥` is
`0`, the ordinal corresponding to the empty type, and `Inf` is `ordinal.omin` for nonempty sets
and `0` for the empty set by convention.
## Notations
* `r ≼i s`: the type of initial segment embeddings of `r` into `s`.
* `r ≺i s`: the type of principal segment embeddings of `r` into `s`.
* `ω` is a notation for the first infinite ordinal in the locale `ordinal`.
-/
noncomputable theory
open function cardinal set equiv
open_locale classical cardinal
universes u v w
variables {α : Type*} {β : Type*} {γ : Type*}
{r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
/-!
### Initial segments
Order embeddings whose range is an initial segment of `s` (i.e., if `b` belongs to the range, then
any `b' < b` also belongs to the range). The type of these embeddings from `r` to `s` is called
`initial_seg r s`, and denoted by `r ≼i s`.
-/
/-- If `r` is a relation on `α` and `s` in a relation on `β`, then `f : r ≼i s` is an order
embedding whose range is an initial segment. That is, whenever `b < f a` in `β` then `b` is in the
range of `f`. -/
@[nolint has_inhabited_instance]
structure initial_seg {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends r ↪r s :=
(init : ∀ a b, s b (to_rel_embedding a) → ∃ a', to_rel_embedding a' = b)
local infix ` ≼i `:25 := initial_seg
namespace initial_seg
instance : has_coe (r ≼i s) (r ↪r s) := ⟨initial_seg.to_rel_embedding⟩
instance : has_coe_to_fun (r ≼i s) := ⟨λ _, α → β, λ f x, (f : r ↪r s) x⟩
@[simp] theorem coe_fn_mk (f : r ↪r s) (o) :
(@initial_seg.mk _ _ r s f o : α → β) = f := rfl
@[simp] theorem coe_fn_to_rel_embedding (f : r ≼i s) : (f.to_rel_embedding : α → β) = f := rfl
@[simp] theorem coe_coe_fn (f : r ≼i s) : ((f : r ↪r s) : α → β) = f := rfl
theorem init' (f : r ≼i s) {a : α} {b : β} : s b (f a) → ∃ a', f a' = b :=
f.init _ _
theorem init_iff (f : r ≼i s) {a : α} {b : β} : s b (f a) ↔ ∃ a', f a' = b ∧ r a' a :=
⟨λ h, let ⟨a', e⟩ := f.init' h in ⟨a', e, (f : r ↪r s).map_rel_iff.1 (e.symm ▸ h)⟩,
λ ⟨a', e, h⟩, e ▸ (f : r ↪r s).map_rel_iff.2 h⟩
/-- An order isomorphism is an initial segment -/
def of_iso (f : r ≃r s) : r ≼i s :=
⟨f, λ a b h, ⟨f.symm b, rel_iso.apply_symm_apply f _⟩⟩
/-- The identity function shows that `≼i` is reflexive -/
@[refl] protected def refl (r : α → α → Prop) : r ≼i r :=
⟨rel_embedding.refl _, λ a b h, ⟨_, rfl⟩⟩
/-- Composition of functions shows that `≼i` is transitive -/
@[trans] protected def trans (f : r ≼i s) (g : s ≼i t) : r ≼i t :=
⟨f.1.trans g.1, λ a c h, begin
simp at h ⊢,
rcases g.2 _ _ h with ⟨b, rfl⟩, have h := g.1.map_rel_iff.1 h,
rcases f.2 _ _ h with ⟨a', rfl⟩, exact ⟨a', rfl⟩
end⟩
@[simp] theorem refl_apply (x : α) : initial_seg.refl r x = x := rfl
@[simp] theorem trans_apply (f : r ≼i s) (g : s ≼i t) (a : α) : (f.trans g) a = g (f a) := rfl
theorem unique_of_extensional [is_extensional β s] :
well_founded r → subsingleton (r ≼i s) | ⟨h⟩ :=
⟨λ f g, begin
suffices : (f : α → β) = g, { cases f, cases g,
congr, exact rel_embedding.coe_fn_injective this },
funext a, have := h a, induction this with a H IH,
refine @is_extensional.ext _ s _ _ _ (λ x, ⟨λ h, _, λ h, _⟩),
{ rcases f.init_iff.1 h with ⟨y, rfl, h'⟩,
rw IH _ h', exact (g : r ↪r s).map_rel_iff.2 h' },
{ rcases g.init_iff.1 h with ⟨y, rfl, h'⟩,
rw ← IH _ h', exact (f : r ↪r s).map_rel_iff.2 h' }
end⟩
instance [is_well_order β s] : subsingleton (r ≼i s) :=
⟨λ a, @subsingleton.elim _ (unique_of_extensional
(@rel_embedding.well_founded _ _ r s a is_well_order.wf)) a⟩
protected theorem eq [is_well_order β s] (f g : r ≼i s) (a) : f a = g a :=
by rw subsingleton.elim f g
theorem antisymm.aux [is_well_order α r] (f : r ≼i s) (g : s ≼i r) : left_inverse g f :=
initial_seg.eq (f.trans g) (initial_seg.refl _)
/-- If we have order embeddings between `α` and `β` whose images are initial segments, and `β`
is a well-order then `α` and `β` are order-isomorphic. -/
def antisymm [is_well_order β s] (f : r ≼i s) (g : s ≼i r) : r ≃r s :=
by haveI := f.to_rel_embedding.is_well_order; exact
⟨⟨f, g, antisymm.aux f g, antisymm.aux g f⟩, f.map_rel_iff'⟩
@[simp] theorem antisymm_to_fun [is_well_order β s]
(f : r ≼i s) (g : s ≼i r) : (antisymm f g : α → β) = f := rfl
@[simp] theorem antisymm_symm [is_well_order α r] [is_well_order β s]
(f : r ≼i s) (g : s ≼i r) : (antisymm f g).symm = antisymm g f :=
rel_iso.coe_fn_injective rfl
theorem eq_or_principal [is_well_order β s] (f : r ≼i s) :
surjective f ∨ ∃ b, ∀ x, s x b ↔ ∃ y, f y = x :=
or_iff_not_imp_right.2 $ λ h b,
acc.rec_on (is_well_order.wf.apply b : acc s b) $ λ x H IH,
not_forall_not.1 $ λ hn,
h ⟨x, λ y, ⟨(IH _), λ ⟨a, e⟩, by rw ← e; exact
(trichotomous _ _).resolve_right
(not_or (hn a) (λ hl, not_exists.2 hn (f.init' hl)))⟩⟩
/-- Restrict the codomain of an initial segment -/
def cod_restrict (p : set β) (f : r ≼i s) (H : ∀ a, f a ∈ p) : r ≼i subrel s p :=
⟨rel_embedding.cod_restrict p f H, λ a ⟨b, m⟩ (h : s b (f a)),
let ⟨a', e⟩ := f.init' h in ⟨a', by clear _let_match; subst e; refl⟩⟩
@[simp] theorem cod_restrict_apply (p) (f : r ≼i s) (H a) : cod_restrict p f H a = ⟨f a, H a⟩ := rfl
/-- Initial segment embedding of an order `r` into the disjoint union of `r` and `s`. -/
def le_add (r : α → α → Prop) (s : β → β → Prop) : r ≼i sum.lex r s :=
⟨⟨⟨sum.inl, λ _ _, sum.inl.inj⟩, λ a b, sum.lex_inl_inl⟩,
λ a b, by cases b; [exact λ _, ⟨_, rfl⟩, exact false.elim ∘ sum.lex_inr_inl]⟩
@[simp] theorem le_add_apply (r : α → α → Prop) (s : β → β → Prop)
(a) : le_add r s a = sum.inl a := rfl
end initial_seg
/-!
### Principal segments
Order embeddings whose range is a principal segment of `s` (i.e., an interval of the form
`(-∞, top)` for some element `top` of `β`). The type of these embeddings from `r` to `s` is called
`principal_seg r s`, and denoted by `r ≺i s`. Principal segments are in particular initial
segments.
-/
/-- If `r` is a relation on `α` and `s` in a relation on `β`, then `f : r ≺i s` is an order
embedding whose range is an open interval `(-∞, top)` for some element `top` of `β`. Such order
embeddings are called principal segments -/
@[nolint has_inhabited_instance]
structure principal_seg {α β : Type*} (r : α → α → Prop) (s : β → β → Prop) extends r ↪r s :=
(top : β)
(down : ∀ b, s b top ↔ ∃ a, to_rel_embedding a = b)
local infix ` ≺i `:25 := principal_seg
namespace principal_seg
instance : has_coe (r ≺i s) (r ↪r s) := ⟨principal_seg.to_rel_embedding⟩
instance : has_coe_to_fun (r ≺i s) := ⟨λ _, α → β, λ f, f⟩
@[simp] theorem coe_fn_mk (f : r ↪r s) (t o) :
(@principal_seg.mk _ _ r s f t o : α → β) = f := rfl
@[simp] theorem coe_fn_to_rel_embedding (f : r ≺i s) : (f.to_rel_embedding : α → β) = f := rfl
@[simp] theorem coe_coe_fn (f : r ≺i s) : ((f : r ↪r s) : α → β) = f := rfl
theorem down' (f : r ≺i s) {b : β} : s b f.top ↔ ∃ a, f a = b :=
f.down _
theorem lt_top (f : r ≺i s) (a : α) : s (f a) f.top :=
f.down'.2 ⟨_, rfl⟩
theorem init [is_trans β s] (f : r ≺i s) {a : α} {b : β} (h : s b (f a)) : ∃ a', f a' = b :=
f.down'.1 $ trans h $ f.lt_top _
/-- A principal segment is in particular an initial segment. -/
instance has_coe_initial_seg [is_trans β s] : has_coe (r ≺i s) (r ≼i s) :=
⟨λ f, ⟨f.to_rel_embedding, λ a b, f.init⟩⟩
theorem coe_coe_fn' [is_trans β s] (f : r ≺i s) : ((f : r ≼i s) : α → β) = f := rfl
theorem init_iff [is_trans β s] (f : r ≺i s) {a : α} {b : β} :
s b (f a) ↔ ∃ a', f a' = b ∧ r a' a :=
@initial_seg.init_iff α β r s f a b
theorem irrefl (r : α → α → Prop) [is_well_order α r] (f : r ≺i r) : false :=
begin
have := f.lt_top f.top,
rw [show f f.top = f.top, from
initial_seg.eq ↑f (initial_seg.refl r) f.top] at this,
exact irrefl _ this
end
/-- Composition of a principal segment with an initial segment, as a principal segment -/
def lt_le (f : r ≺i s) (g : s ≼i t) : r ≺i t :=
⟨@rel_embedding.trans _ _ _ r s t f g, g f.top, λ a,
by simp only [g.init_iff, f.down', exists_and_distrib_left.symm,
exists_swap, rel_embedding.trans_apply, exists_eq_right']; refl⟩
@[simp] theorem lt_le_apply (f : r ≺i s) (g : s ≼i t) (a : α) : (f.lt_le g) a = g (f a) :=
rel_embedding.trans_apply _ _ _
@[simp] theorem lt_le_top (f : r ≺i s) (g : s ≼i t) : (f.lt_le g).top = g f.top := rfl
/-- Composition of two principal segments as a principal segment -/
@[trans] protected def trans [is_trans γ t] (f : r ≺i s) (g : s ≺i t) : r ≺i t :=
lt_le f g
@[simp] theorem trans_apply [is_trans γ t] (f : r ≺i s) (g : s ≺i t) (a : α) :
(f.trans g) a = g (f a) :=
lt_le_apply _ _ _
@[simp] theorem trans_top [is_trans γ t] (f : r ≺i s) (g : s ≺i t) :
(f.trans g).top = g f.top := rfl
/-- Composition of an order isomorphism with a principal segment, as a principal segment -/
def equiv_lt (f : r ≃r s) (g : s ≺i t) : r ≺i t :=
⟨@rel_embedding.trans _ _ _ r s t f g, g.top, λ c,
suffices (∃ (a : β), g a = c) ↔ ∃ (a : α), g (f a) = c, by simpa [g.down],
⟨λ ⟨b, h⟩, ⟨f.symm b, by simp only [h, rel_iso.apply_symm_apply, rel_iso.coe_coe_fn]⟩,
λ ⟨a, h⟩, ⟨f a, h⟩⟩⟩
/-- Composition of a principal segment with an order isomorphism, as a principal segment -/
def lt_equiv {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
(f : principal_seg r s) (g : s ≃r t) : principal_seg r t :=
⟨@rel_embedding.trans _ _ _ r s t f g, g f.top,
begin
intro x,
rw [← g.apply_symm_apply x, g.map_rel_iff, f.down', exists_congr],
intro y, exact ⟨congr_arg g, λ h, g.to_equiv.bijective.1 h⟩
end⟩
@[simp] theorem equiv_lt_apply (f : r ≃r s) (g : s ≺i t) (a : α) : (equiv_lt f g) a = g (f a) :=
rel_embedding.trans_apply _ _ _
@[simp] theorem equiv_lt_top (f : r ≃r s) (g : s ≺i t) : (equiv_lt f g).top = g.top := rfl
/-- Given a well order `s`, there is a most one principal segment embedding of `r` into `s`. -/
instance [is_well_order β s] : subsingleton (r ≺i s) :=
⟨λ f g, begin
have ef : (f : α → β) = g,
{ show ((f : r ≼i s) : α → β) = g,
rw @subsingleton.elim _ _ (f : r ≼i s) g, refl },
have et : f.top = g.top,
{ refine @is_extensional.ext _ s _ _ _ (λ x, _),
simp only [f.down, g.down, ef, coe_fn_to_rel_embedding] },
cases f, cases g,
have := rel_embedding.coe_fn_injective ef; congr'
end⟩
theorem top_eq [is_well_order γ t]
(e : r ≃r s) (f : r ≺i t) (g : s ≺i t) : f.top = g.top :=
by rw subsingleton.elim f (principal_seg.equiv_lt e g); refl
lemma top_lt_top {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop}
[is_well_order γ t]
(f : principal_seg r s) (g : principal_seg s t) (h : principal_seg r t) : t h.top g.top :=
by { rw [subsingleton.elim h (f.trans g)], apply principal_seg.lt_top }
/-- Any element of a well order yields a principal segment -/
def of_element {α : Type*} (r : α → α → Prop) (a : α) : subrel r {b | r b a} ≺i r :=
⟨subrel.rel_embedding _ _, a, λ b,
⟨λ h, ⟨⟨_, h⟩, rfl⟩, λ ⟨⟨_, h⟩, rfl⟩, h⟩⟩
@[simp] theorem of_element_apply {α : Type*} (r : α → α → Prop) (a : α) (b) :
of_element r a b = b.1 := rfl
@[simp] theorem of_element_top {α : Type*} (r : α → α → Prop) (a : α) :
(of_element r a).top = a := rfl
/-- Restrict the codomain of a principal segment -/
def cod_restrict (p : set β) (f : r ≺i s)
(H : ∀ a, f a ∈ p) (H₂ : f.top ∈ p) : r ≺i subrel s p :=
⟨rel_embedding.cod_restrict p f H, ⟨f.top, H₂⟩, λ ⟨b, h⟩,
f.down'.trans $ exists_congr $ λ a,
show (⟨f a, H a⟩ : p).1 = _ ↔ _, from ⟨subtype.eq, congr_arg _⟩⟩
@[simp]
theorem cod_restrict_apply (p) (f : r ≺i s) (H H₂ a) : cod_restrict p f H H₂ a = ⟨f a, H a⟩ := rfl
@[simp]
theorem cod_restrict_top (p) (f : r ≺i s) (H H₂) : (cod_restrict p f H H₂).top = ⟨f.top, H₂⟩ := rfl
end principal_seg
/-! ### Properties of initial and principal segments -/
/-- To an initial segment taking values in a well order, one can associate either a principal
segment (if the range is not everything, hence one can take as top the minimum of the complement
of the range) or an order isomorphism (if the range is everything). -/
def initial_seg.lt_or_eq [is_well_order β s] (f : r ≼i s) :
(r ≺i s) ⊕ (r ≃r s) :=
if h : surjective f then sum.inr (rel_iso.of_surjective f h) else
have h' : _, from (initial_seg.eq_or_principal f).resolve_left h,
sum.inl ⟨f, classical.some h', classical.some_spec h'⟩
theorem initial_seg.lt_or_eq_apply_left [is_well_order β s]
(f : r ≼i s) (g : r ≺i s) (a : α) : g a = f a :=
@initial_seg.eq α β r s _ g f a
theorem initial_seg.lt_or_eq_apply_right [is_well_order β s]
(f : r ≼i s) (g : r ≃r s) (a : α) : g a = f a :=
initial_seg.eq (initial_seg.of_iso g) f a
/-- Composition of an initial segment taking values in a well order and a principal segment. -/
def initial_seg.le_lt [is_well_order β s] [is_trans γ t] (f : r ≼i s) (g : s ≺i t) : r ≺i t :=
match f.lt_or_eq with
| sum.inl f' := f'.trans g
| sum.inr f' := principal_seg.equiv_lt f' g
end
@[simp] theorem initial_seg.le_lt_apply [is_well_order β s] [is_trans γ t]
(f : r ≼i s) (g : s ≺i t) (a : α) : (f.le_lt g) a = g (f a) :=
begin
delta initial_seg.le_lt, cases h : f.lt_or_eq with f' f',
{ simp only [principal_seg.trans_apply, f.lt_or_eq_apply_left] },
{ simp only [principal_seg.equiv_lt_apply, f.lt_or_eq_apply_right] }
end
namespace rel_embedding
/-- Given an order embedding into a well order, collapse the order embedding by filling the
gaps, to obtain an initial segment. Here, we construct the collapsed order embedding pointwise,
but the proof of the fact that it is an initial segment will be given in `collapse`. -/
def collapse_F [is_well_order β s] (f : r ↪r s) : Π a, {b // ¬ s (f a) b} :=
(rel_embedding.well_founded f $ is_well_order.wf).fix $ λ a IH, begin
let S := {b | ∀ a h, s (IH a h).1 b},
have : f a ∈ S, from λ a' h, ((trichotomous _ _)
.resolve_left $ λ h', (IH a' h).2 $ trans (f.map_rel_iff.2 h) h')
.resolve_left $ λ h', (IH a' h).2 $ h' ▸ f.map_rel_iff.2 h,
exact ⟨is_well_order.wf.min S ⟨_, this⟩,
is_well_order.wf.not_lt_min _ _ this⟩
end
theorem collapse_F.lt [is_well_order β s] (f : r ↪r s) {a : α}
: ∀ {a'}, r a' a → s (collapse_F f a').1 (collapse_F f a).1 :=
show (collapse_F f a).1 ∈ {b | ∀ a' (h : r a' a), s (collapse_F f a').1 b}, begin
unfold collapse_F, rw well_founded.fix_eq,
apply well_founded.min_mem _ _
end
theorem collapse_F.not_lt [is_well_order β s] (f : r ↪r s) (a : α)
{b} (h : ∀ a' (h : r a' a), s (collapse_F f a').1 b) : ¬ s b (collapse_F f a).1 :=
begin
unfold collapse_F, rw well_founded.fix_eq,
exact well_founded.not_lt_min _ _ _
(show b ∈ {b | ∀ a' (h : r a' a), s (collapse_F f a').1 b}, from h)
end
/-- Construct an initial segment from an order embedding into a well order, by collapsing it
to fill the gaps. -/
def collapse [is_well_order β s] (f : r ↪r s) : r ≼i s :=
by haveI := rel_embedding.is_well_order f; exact
⟨rel_embedding.of_monotone
(λ a, (collapse_F f a).1) (λ a b, collapse_F.lt f),
λ a b, acc.rec_on (is_well_order.wf.apply b : acc s b) (λ b H IH a h, begin
let S := {a | ¬ s (collapse_F f a).1 b},
have : S.nonempty := ⟨_, asymm h⟩,
existsi (is_well_order.wf : well_founded r).min S this,
refine ((@trichotomous _ s _ _ _).resolve_left _).resolve_right _,
{ exact (is_well_order.wf : well_founded r).min_mem S this },
{ refine collapse_F.not_lt f _ (λ a' h', _),
by_contradiction hn,
exact is_well_order.wf.not_lt_min S this hn h' }
end) a⟩
theorem collapse_apply [is_well_order β s] (f : r ↪r s)
(a) : collapse f a = (collapse_F f a).1 := rfl
end rel_embedding
/-! ### Well order on an arbitrary type -/
section well_ordering_thm
parameter {σ : Type u}
open function
theorem nonempty_embedding_to_cardinal : nonempty (σ ↪ cardinal.{u}) :=
embedding.total.resolve_left $ λ ⟨⟨f, hf⟩⟩,
let g : σ → cardinal.{u} := inv_fun f in
let ⟨x, (hx : g x = 2 ^ sum g)⟩ := inv_fun_surjective hf (2 ^ sum g) in
have g x ≤ sum g, from le_sum.{u u} g x,
not_le_of_gt (by rw hx; exact cantor _) this
/-- An embedding of any type to the set of cardinals. -/
def embedding_to_cardinal : σ ↪ cardinal.{u} := classical.choice nonempty_embedding_to_cardinal
/-- Any type can be endowed with a well order, obtained by pulling back the well order over
cardinals by some embedding. -/
def well_ordering_rel : σ → σ → Prop := embedding_to_cardinal ⁻¹'o (<)
instance well_ordering_rel.is_well_order : is_well_order σ well_ordering_rel :=
(rel_embedding.preimage _ _).is_well_order
end well_ordering_thm
/-! ### Definition of ordinals -/
/-- Bundled structure registering a well order on a type. Ordinals will be defined as a quotient
of this type. -/
structure Well_order : Type (u+1) :=
(α : Type u)
(r : α → α → Prop)
(wo : is_well_order α r)
attribute [instance] Well_order.wo
namespace Well_order
instance : inhabited Well_order := ⟨⟨pempty, _, empty_relation.is_well_order⟩⟩
end Well_order
/-- Equivalence relation on well orders on arbitrary types in universe `u`, given by order
isomorphism. -/
instance ordinal.is_equivalent : setoid Well_order :=
{ r := λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, nonempty (r ≃r s),
iseqv := ⟨λ⟨α, r, _⟩, ⟨rel_iso.refl _⟩,
λ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨e⟩, ⟨e.symm⟩,
λ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨e₁⟩ ⟨e₂⟩, ⟨e₁.trans e₂⟩⟩ }
/-- `ordinal.{u}` is the type of well orders in `Type u`, up to order isomorphism. -/
def ordinal : Type (u + 1) := quotient ordinal.is_equivalent
namespace ordinal
/-- The order type of a well order is an ordinal. -/
def type (r : α → α → Prop) [wo : is_well_order α r] : ordinal :=
⟦⟨α, r, wo⟩⟧
/-- The order type of an element inside a well order. For the embedding as a principal segment, see
`typein.principal_seg`. -/
def typein (r : α → α → Prop) [is_well_order α r] (a : α) : ordinal :=
type (subrel r {b | r b a})
theorem type_def (r : α → α → Prop) [wo : is_well_order α r] :
@eq ordinal ⟦⟨α, r, wo⟩⟧ (type r) := rfl
@[simp] theorem type_def' (r : α → α → Prop) [is_well_order α r] {wo} :
@eq ordinal ⟦⟨α, r, wo⟩⟧ (type r) := rfl
theorem type_eq {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] :
type r = type s ↔ nonempty (r ≃r s) := quotient.eq
@[simp] lemma type_out (o : ordinal) : type o.out.r = o :=
by { refine eq.trans _ (by rw [←quotient.out_eq o]), cases quotient.out o, refl }
@[elab_as_eliminator] theorem induction_on {C : ordinal → Prop}
(o : ordinal) (H : ∀ α r [is_well_order α r], by exactI C (type r)) : C o :=
quot.induction_on o $ λ ⟨α, r, wo⟩, @H α r wo
/-! ### The order on ordinals -/
/-- Ordinal less-equal is defined such that
well orders `r` and `s` satisfy `type r ≤ type s` if there exists
a function embedding `r` as an initial segment of `s`. -/
protected def le (a b : ordinal) : Prop :=
quotient.lift_on₂ a b (λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, nonempty (r ≼i s)) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
propext ⟨
λ ⟨h⟩, ⟨(initial_seg.of_iso f.symm).trans $
h.trans (initial_seg.of_iso g)⟩,
λ ⟨h⟩, ⟨(initial_seg.of_iso f).trans $
h.trans (initial_seg.of_iso g.symm)⟩⟩
instance : has_le ordinal := ⟨ordinal.le⟩
theorem type_le {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] :
type r ≤ type s ↔ nonempty (r ≼i s) := iff.rfl
theorem type_le' {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] : type r ≤ type s ↔ nonempty (r ↪r s) :=
⟨λ ⟨f⟩, ⟨f⟩, λ ⟨f⟩, ⟨f.collapse⟩⟩
/-- Ordinal less-than is defined such that
well orders `r` and `s` satisfy `type r < type s` if there exists
a function embedding `r` as a principal segment of `s`. -/
def lt (a b : ordinal) : Prop :=
quotient.lift_on₂ a b (λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, nonempty (r ≺i s)) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
by exactI propext ⟨
λ ⟨h⟩, ⟨principal_seg.equiv_lt f.symm $
h.lt_le (initial_seg.of_iso g)⟩,
λ ⟨h⟩, ⟨principal_seg.equiv_lt f $
h.lt_le (initial_seg.of_iso g.symm)⟩⟩
instance : has_lt ordinal := ⟨ordinal.lt⟩
@[simp] theorem type_lt {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] :
type r < type s ↔ nonempty (r ≺i s) := iff.rfl
instance : partial_order ordinal :=
{ le := (≤),
lt := (<),
le_refl := quot.ind $ by exact λ ⟨α, r, wo⟩, ⟨initial_seg.refl _⟩,
le_trans := λ a b c, quotient.induction_on₃ a b c $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ ⟨g⟩, ⟨f.trans g⟩,
lt_iff_le_not_le := λ a b, quotient.induction_on₂ a b $
λ ⟨α, r, _⟩ ⟨β, s, _⟩, by exactI
⟨λ ⟨f⟩, ⟨⟨f⟩, λ ⟨g⟩, (f.lt_le g).irrefl _⟩,
λ ⟨⟨f⟩, h⟩, sum.rec_on f.lt_or_eq (λ g, ⟨g⟩)
(λ g, (h ⟨initial_seg.of_iso g.symm⟩).elim)⟩,
le_antisymm := λ x b, show x ≤ b → b ≤ x → x = b, from
quotient.induction_on₂ x b $ λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨h₁⟩ ⟨h₂⟩,
by exactI quot.sound ⟨initial_seg.antisymm h₁ h₂⟩ }
/-- Given two ordinals `α ≤ β`, then `initial_seg_out α β` is the initial segment embedding
of `α` to `β`, as map from a model type for `α` to a model type for `β`. -/
def initial_seg_out {α β : ordinal} (h : α ≤ β) : initial_seg α.out.r β.out.r :=
begin
rw [←quotient.out_eq α, ←quotient.out_eq β] at h, revert h,
cases quotient.out α, cases quotient.out β, exact classical.choice
end
/-- Given two ordinals `α < β`, then `principal_seg_out α β` is the principal segment embedding
of `α` to `β`, as map from a model type for `α` to a model type for `β`. -/
def principal_seg_out {α β : ordinal} (h : α < β) : principal_seg α.out.r β.out.r :=
begin
rw [←quotient.out_eq α, ←quotient.out_eq β] at h, revert h,
cases quotient.out α, cases quotient.out β, exact classical.choice
end
/-- Given two ordinals `α = β`, then `rel_iso_out α β` is the order isomorphism between two
model types for `α` and `β`. -/
def rel_iso_out {α β : ordinal} (h : α = β) : α.out.r ≃r β.out.r :=
begin
rw [←quotient.out_eq α, ←quotient.out_eq β] at h, revert h,
cases quotient.out α, cases quotient.out β, exact classical.choice ∘ quotient.exact
end
theorem typein_lt_type (r : α → α → Prop) [is_well_order α r]
(a : α) : typein r a < type r :=
⟨principal_seg.of_element _ _⟩
@[simp] theorem typein_top {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] (f : r ≺i s) :
typein s f.top = type r :=
eq.symm $ quot.sound ⟨rel_iso.of_surjective
(rel_embedding.cod_restrict _ f f.lt_top)
(λ ⟨a, h⟩, by rcases f.down'.1 h with ⟨b, rfl⟩; exact ⟨b, rfl⟩)⟩
@[simp] theorem typein_apply {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] (f : r ≼i s) (a : α) :
ordinal.typein s (f a) = ordinal.typein r a :=
eq.symm $ quotient.sound ⟨rel_iso.of_surjective
(rel_embedding.cod_restrict _
((subrel.rel_embedding _ _).trans f)
(λ ⟨x, h⟩, by rw [rel_embedding.trans_apply]; exact f.to_rel_embedding.map_rel_iff.2 h))
(λ ⟨y, h⟩, by rcases f.init' h with ⟨a, rfl⟩;
exact ⟨⟨a, f.to_rel_embedding.map_rel_iff.1 h⟩, subtype.eq $ rel_embedding.trans_apply _ _ _⟩)⟩
@[simp] theorem typein_lt_typein (r : α → α → Prop) [is_well_order α r]
{a b : α} : typein r a < typein r b ↔ r a b :=
⟨λ ⟨f⟩, begin
have : f.top.1 = a,
{ let f' := principal_seg.of_element r a,
let g' := f.trans (principal_seg.of_element r b),
have : g'.top = f'.top, {rw subsingleton.elim f' g'},
exact this },
rw ← this, exact f.top.2
end, λ h, ⟨principal_seg.cod_restrict _
(principal_seg.of_element r a)
(λ x, @trans _ r _ _ _ _ x.2 h) h⟩⟩
theorem typein_surj (r : α → α → Prop) [is_well_order α r]
{o} (h : o < type r) : ∃ a, typein r a = o :=
induction_on o (λ β s _ ⟨f⟩, by exactI ⟨f.top, typein_top _⟩) h
lemma typein_injective (r : α → α → Prop) [is_well_order α r] : injective (typein r) :=
injective_of_increasing r (<) (typein r) (λ x y, (typein_lt_typein r).2)
theorem typein_inj (r : α → α → Prop) [is_well_order α r]
{a b} : typein r a = typein r b ↔ a = b :=
injective.eq_iff (typein_injective r)
/-! ### Enumerating elements in a well-order with ordinals. -/
/-- `enum r o h` is the `o`-th element of `α` ordered by `r`.
That is, `enum` maps an initial segment of the ordinals, those
less than the order type of `r`, to the elements of `α`. -/
def enum (r : α → α → Prop) [is_well_order α r] (o) : o < type r → α :=
quot.rec_on o (λ ⟨β, s, _⟩ h, (classical.choice h).top) $
λ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨h⟩, begin
resetI, refine funext (λ (H₂ : type t < type r), _),
have H₁ : type s < type r, {rwa type_eq.2 ⟨h⟩},
have : ∀ {o e} (H : o < type r), @@eq.rec
(λ (o : ordinal), o < type r → α)
(λ (h : type s < type r), (classical.choice h).top)
e H = (classical.choice H₁).top, {intros, subst e},
exact (this H₂).trans (principal_seg.top_eq h
(classical.choice H₁) (classical.choice H₂))
end
theorem enum_type {α β} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s] (f : s ≺i r)
{h : type s < type r} : enum r (type s) h = f.top :=
principal_seg.top_eq (rel_iso.refl _) _ _
@[simp] theorem enum_typein (r : α → α → Prop) [is_well_order α r] (a : α)
{h : typein r a < type r} : enum r (typein r a) h = a :=
enum_type (principal_seg.of_element r a)
@[simp] theorem typein_enum (r : α → α → Prop) [is_well_order α r]
{o} (h : o < type r) : typein r (enum r o h) = o :=
let ⟨a, e⟩ := typein_surj r h in
by clear _let_match; subst e; rw enum_typein
/-- A well order `r` is order isomorphic to the set of ordinals strictly smaller than the
ordinal version of `r`. -/
def typein_iso (r : α → α → Prop) [is_well_order α r] : r ≃r subrel (<) (< type r) :=
⟨⟨λ x, ⟨typein r x, typein_lt_type r x⟩, λ x, enum r x.1 x.2, λ y, enum_typein r y,
λ ⟨y, hy⟩, subtype.eq (typein_enum r hy)⟩,
λ a b, (typein_lt_typein r)⟩
theorem enum_lt {r : α → α → Prop} [is_well_order α r]
{o₁ o₂ : ordinal} (h₁ : o₁ < type r) (h₂ : o₂ < type r) :
r (enum r o₁ h₁) (enum r o₂ h₂) ↔ o₁ < o₂ :=
by rw [← typein_lt_typein r, typein_enum, typein_enum]
lemma rel_iso_enum' {α β : Type u} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s]
(f : r ≃r s) (o : ordinal) : ∀(hr : o < type r) (hs : o < type s),
f (enum r o hr) = enum s o hs :=
begin
refine induction_on o _, rintros γ t wo ⟨g⟩ ⟨h⟩,
resetI, rw [enum_type g, enum_type (principal_seg.lt_equiv g f)], refl
end
lemma rel_iso_enum {α β : Type u} {r : α → α → Prop} {s : β → β → Prop}
[is_well_order α r] [is_well_order β s]
(f : r ≃r s) (o : ordinal) (hr : o < type r) :
f (enum r o hr) =
enum s o (by {convert hr using 1, apply quotient.sound, exact ⟨f.symm⟩ }) :=
rel_iso_enum' _ _ _ _
theorem wf : @well_founded ordinal (<) :=
⟨λ a, induction_on a $ λ α r wo, by exactI
suffices ∀ a, acc (<) (typein r a), from
⟨_, λ o h, let ⟨a, e⟩ := typein_surj r h in e ▸ this a⟩,
λ a, acc.rec_on (wo.wf.apply a) $ λ x H IH, ⟨_, λ o h, begin
rcases typein_surj r (lt_trans h (typein_lt_type r _)) with ⟨b, rfl⟩,
exact IH _ ((typein_lt_typein r).1 h)
end⟩⟩
instance : has_well_founded ordinal := ⟨(<), wf⟩
/-- Reformulation of well founded induction on ordinals as a lemma that works with the
`induction` tactic, as in `induction i using ordinal.induction with i IH`. -/
lemma induction {p : ordinal.{u} → Prop} (i : ordinal.{u})
(h : ∀ j, (∀ k, k < j → p k) → p j) : p i :=
ordinal.wf.induction i h
/-- Principal segment version of the `typein` function, embedding a well order into
ordinals as a principal segment. -/
def typein.principal_seg {α : Type u} (r : α → α → Prop) [is_well_order α r] :
@principal_seg α ordinal.{u} r (<) :=
⟨rel_embedding.of_monotone (typein r)
(λ a b, (typein_lt_typein r).2), type r, λ b,
⟨λ h, ⟨enum r _ h, typein_enum r h⟩,
λ ⟨a, e⟩, e ▸ typein_lt_type _ _⟩⟩
@[simp] theorem typein.principal_seg_coe (r : α → α → Prop) [is_well_order α r] :
(typein.principal_seg r : α → ordinal) = typein r := rfl
/-! ### Cardinality of ordinals -/
/-- The cardinal of an ordinal is the cardinal of any
set with that order type. -/
def card (o : ordinal) : cardinal :=
quot.lift_on o (λ ⟨α, r, _⟩, #α) $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨e⟩, quotient.sound ⟨e.to_equiv⟩
@[simp] theorem card_type (r : α → α → Prop) [is_well_order α r] :
card (type r) = #α := rfl
lemma card_typein {r : α → α → Prop} [wo : is_well_order α r] (x : α) :
#{y // r y x} = (typein r x).card := rfl
theorem card_le_card {o₁ o₂ : ordinal} : o₁ ≤ o₂ → card o₁ ≤ card o₂ :=
induction_on o₁ $ λ α r _, induction_on o₂ $ λ β s _ ⟨⟨⟨f, _⟩, _⟩⟩, ⟨f⟩
instance : has_zero ordinal :=
⟨⟦⟨pempty, empty_relation, by apply_instance⟩⟧⟩
instance : inhabited ordinal := ⟨0⟩
theorem zero_eq_type_empty : 0 = @type empty empty_relation _ :=
quotient.sound ⟨⟨empty_equiv_pempty.symm, λ _ _, iff.rfl⟩⟩
@[simp] theorem card_zero : card 0 = 0 := rfl
protected theorem zero_le (o : ordinal) : 0 ≤ o :=
induction_on o $ λ α r _, ⟨⟨⟨embedding.of_is_empty, is_empty_elim⟩, is_empty_elim⟩⟩
@[simp] protected theorem le_zero {o : ordinal} : o ≤ 0 ↔ o = 0 :=
by simp only [le_antisymm_iff, ordinal.zero_le, and_true]
protected theorem pos_iff_ne_zero {o : ordinal} : 0 < o ↔ o ≠ 0 :=
by simp only [lt_iff_le_and_ne, ordinal.zero_le, true_and, ne.def, eq_comm]
instance : has_one ordinal :=
⟨⟦⟨punit, empty_relation, by apply_instance⟩⟧⟩
theorem one_eq_type_unit : 1 = @type unit empty_relation _ :=
quotient.sound ⟨⟨punit_equiv_punit, λ _ _, iff.rfl⟩⟩
@[simp] theorem card_one : card 1 = 1 := rfl
/-! ### Lifting ordinals to a higher universe -/
/-- The universe lift operation for ordinals, which embeds `ordinal.{u}` as
a proper initial segment of `ordinal.{v}` for `v > u`. For the initial segment version,
see `lift.initial_seg`. -/
def lift (o : ordinal.{v}) : ordinal.{max v u} :=
quotient.lift_on o (λ ⟨α, r, wo⟩,
@type _ _ (@rel_embedding.is_well_order _ _ (@equiv.ulift.{u} α ⁻¹'o r) r
(rel_iso.preimage equiv.ulift.{u} r) wo)) $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨f⟩,
quot.sound ⟨(rel_iso.preimage equiv.ulift r).trans $
f.trans (rel_iso.preimage equiv.ulift s).symm⟩
theorem lift_type {α} (r : α → α → Prop) [is_well_order α r] :
∃ wo', lift (type r) = @type _ (@equiv.ulift.{v} α ⁻¹'o r) wo' :=
⟨_, rfl⟩
theorem lift_umax : lift.{(max u v) u} = lift.{v u} :=
funext $ λ a, induction_on a $ λ α r _,
quotient.sound ⟨(rel_iso.preimage equiv.ulift r).trans (rel_iso.preimage equiv.ulift r).symm⟩
theorem lift_id' (a : ordinal) : lift a = a :=
induction_on a $ λ α r _,
quotient.sound ⟨rel_iso.preimage equiv.ulift r⟩
@[simp] theorem lift_id : ∀ a, lift.{u u} a = a := lift_id'.{u u}
@[simp]
theorem lift_lift (a : ordinal) : lift.{w} (lift.{v} a) = lift.{(max v w)} a :=
induction_on a $ λ α r _,
quotient.sound ⟨(rel_iso.preimage equiv.ulift _).trans $
(rel_iso.preimage equiv.ulift _).trans (rel_iso.preimage equiv.ulift _).symm⟩
theorem lift_type_le {α : Type u} {β : Type v} {r s} [is_well_order α r] [is_well_order β s] :
lift.{(max v w)} (type r) ≤ lift.{(max u w)} (type s) ↔ nonempty (r ≼i s) :=
⟨λ ⟨f⟩, ⟨(initial_seg.of_iso (rel_iso.preimage equiv.ulift r).symm).trans $
f.trans (initial_seg.of_iso (rel_iso.preimage equiv.ulift s))⟩,
λ ⟨f⟩, ⟨(initial_seg.of_iso (rel_iso.preimage equiv.ulift r)).trans $
f.trans (initial_seg.of_iso (rel_iso.preimage equiv.ulift s).symm)⟩⟩
theorem lift_type_eq {α : Type u} {β : Type v} {r s} [is_well_order α r] [is_well_order β s] :
lift.{(max v w)} (type r) = lift.{(max u w)} (type s) ↔ nonempty (r ≃r s) :=
quotient.eq.trans
⟨λ ⟨f⟩, ⟨(rel_iso.preimage equiv.ulift r).symm.trans $
f.trans (rel_iso.preimage equiv.ulift s)⟩,
λ ⟨f⟩, ⟨(rel_iso.preimage equiv.ulift r).trans $
f.trans (rel_iso.preimage equiv.ulift s).symm⟩⟩
theorem lift_type_lt {α : Type u} {β : Type v} {r s} [is_well_order α r] [is_well_order β s] :
lift.{(max v w)} (type r) < lift.{(max u w)} (type s) ↔ nonempty (r ≺i s) :=
by haveI := @rel_embedding.is_well_order _ _ (@equiv.ulift.{(max v w)} α ⁻¹'o r)
r (rel_iso.preimage equiv.ulift.{(max v w)} r) _;
haveI := @rel_embedding.is_well_order _ _ (@equiv.ulift.{(max u w)} β ⁻¹'o s)
s (rel_iso.preimage equiv.ulift.{(max u w)} s) _; exact
⟨λ ⟨f⟩, ⟨(f.equiv_lt (rel_iso.preimage equiv.ulift r).symm).lt_le
(initial_seg.of_iso (rel_iso.preimage equiv.ulift s))⟩,
λ ⟨f⟩, ⟨(f.equiv_lt (rel_iso.preimage equiv.ulift r)).lt_le
(initial_seg.of_iso (rel_iso.preimage equiv.ulift s).symm)⟩⟩
@[simp] theorem lift_le {a b : ordinal} : lift.{u v} a ≤ lift b ↔ a ≤ b :=
induction_on a $ λ α r _, induction_on b $ λ β s _,
by rw ← lift_umax; exactI lift_type_le
@[simp] theorem lift_inj {a b : ordinal} : lift a = lift b ↔ a = b :=
by simp only [le_antisymm_iff, lift_le]
@[simp] theorem lift_lt {a b : ordinal} : lift a < lift b ↔ a < b :=
by simp only [lt_iff_le_not_le, lift_le]
@[simp] theorem lift_zero : lift 0 = 0 :=
quotient.sound ⟨(rel_iso.preimage equiv.ulift _).trans
⟨pempty_equiv_pempty, λ a b, iff.rfl⟩⟩
theorem zero_eq_lift_type_empty : 0 = lift.{u} (@type empty empty_relation _) :=
by rw [← zero_eq_type_empty, lift_zero]
@[simp] theorem lift_one : lift 1 = 1 :=
quotient.sound ⟨(rel_iso.preimage equiv.ulift _).trans
⟨punit_equiv_punit, λ a b, iff.rfl⟩⟩
theorem one_eq_lift_type_unit : 1 = lift.{u} (@type unit empty_relation _) :=
by rw [← one_eq_type_unit, lift_one]
@[simp] theorem lift_card (a) : (card a).lift = card (lift a) :=
induction_on a $ λ α r _, rfl
theorem lift_down' {a : cardinal.{u}} {b : ordinal.{max u v}}
(h : card b ≤ a.lift) : ∃ a', lift a' = b :=
let ⟨c, e⟩ := cardinal.lift_down h in
quotient.induction_on c (λ α, induction_on b $ λ β s _ e', begin
resetI,
rw [mk_def, card_type, ← cardinal.lift_id'.{(max u v) u} (#β),
← cardinal.lift_umax.{u v}, lift_mk_eq.{u (max u v) (max u v)}] at e',
cases e' with f,
have g := rel_iso.preimage f s,
haveI := (g : ⇑f ⁻¹'o s ↪r s).is_well_order,
have := lift_type_eq.{u (max u v) (max u v)}.2 ⟨g⟩,
rw [lift_id, lift_umax.{u v}] at this,
exact ⟨_, this⟩
end) e
theorem lift_down {a : ordinal.{u}} {b : ordinal.{max u v}}
(h : b ≤ lift a) : ∃ a', lift a' = b :=
@lift_down' (card a) _ (by rw lift_card; exact card_le_card h)
theorem le_lift_iff {a : ordinal.{u}} {b : ordinal.{max u v}} :
b ≤ lift a ↔ ∃ a', lift a' = b ∧ a' ≤ a :=
⟨λ h, let ⟨a', e⟩ := lift_down h in ⟨a', e, lift_le.1 $ e.symm ▸ h⟩,
λ ⟨a', e, h⟩, e ▸ lift_le.2 h⟩
theorem lt_lift_iff {a : ordinal.{u}} {b : ordinal.{max u v}} :
b < lift a ↔ ∃ a', lift a' = b ∧ a' < a :=
⟨λ h, let ⟨a', e⟩ := lift_down (le_of_lt h) in
⟨a', e, lift_lt.1 $ e.symm ▸ h⟩,
λ ⟨a', e, h⟩, e ▸ lift_lt.2 h⟩
/-- Initial segment version of the lift operation on ordinals, embedding `ordinal.{u}` in
`ordinal.{v}` as an initial segment when `u ≤ v`. -/
def lift.initial_seg : @initial_seg ordinal.{u} ordinal.{max u v} (<) (<) :=
⟨⟨⟨lift.{v}, λ a b, lift_inj.1⟩, λ a b, lift_lt⟩,
λ a b h, lift_down (le_of_lt h)⟩
@[simp] theorem lift.initial_seg_coe : (lift.initial_seg : ordinal → ordinal) = lift := rfl
/-! ### The first infinite ordinal `omega` -/
/-- `ω` is the first infinite ordinal, defined as the order type of `ℕ`. -/
def omega : ordinal.{u} := lift $ @type ℕ (<) _
localized "notation `ω` := ordinal.omega.{0}" in ordinal
theorem card_omega : card omega = cardinal.omega := rfl
@[simp] theorem lift_omega : lift omega = omega := lift_lift _
/-!
### Definition and first properties of addition on ordinals
In this paragraph, we introduce the addition on ordinals, and prove just enough properties to
deduce that the order on ordinals is total (and therefore well-founded). Further properties of
the addition, together with properties of the other operations, are proved in
`ordinal_arithmetic.lean`.
-/
/-- `o₁ + o₂` is the order on the disjoint union of `o₁` and `o₂` obtained by declaring that
every element of `o₁` is smaller than every element of `o₂`. -/
instance : has_add ordinal.{u} :=
⟨λo₁ o₂, quotient.lift_on₂ o₁ o₂
(λ ⟨α, r, wo⟩ ⟨β, s, wo'⟩, ⟦⟨α ⊕ β, sum.lex r s, by exactI sum.lex.is_well_order⟩⟧
: Well_order → Well_order → ordinal) $
λ ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩,
quot.sound ⟨rel_iso.sum_lex_congr f g⟩⟩
@[simp] theorem card_add (o₁ o₂ : ordinal) : card (o₁ + o₂) = card o₁ + card o₂ :=
induction_on o₁ $ λ α r _, induction_on o₂ $ λ β s _, rfl
@[simp] theorem card_nat (n : ℕ) : card.{u} n = n :=
by induction n; [refl, simp only [card_add, card_one, nat.cast_succ, *]]
@[simp] theorem type_add {α β : Type u} (r : α → α → Prop) (s : β → β → Prop)
[is_well_order α r] [is_well_order β s] : type r + type s = type (sum.lex r s) := rfl
/-- The ordinal successor is the smallest ordinal larger than `o`.
It is defined as `o + 1`. -/
def succ (o : ordinal) : ordinal := o + 1
theorem succ_eq_add_one (o) : succ o = o + 1 := rfl
instance : add_monoid ordinal.{u} :=
{ add := (+),
zero := 0,
zero_add := λ o, induction_on o $ λ α r _, eq.symm $ quotient.sound
⟨⟨(empty_sum pempty α).symm, λ a b, sum.lex_inr_inr⟩⟩,
add_zero := λ o, induction_on o $ λ α r _, eq.symm $ quotient.sound
⟨⟨(sum_empty α pempty).symm, λ a b, sum.lex_inl_inl⟩⟩,
add_assoc := λ o₁ o₂ o₃, quotient.induction_on₃ o₁ o₂ o₃ $
λ ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩, quot.sound
⟨⟨sum_assoc _ _ _, λ a b,
begin rcases a with ⟨a|a⟩|a; rcases b with ⟨b|b⟩|b;
simp only [sum_assoc_apply_in1, sum_assoc_apply_in2, sum_assoc_apply_in3,
sum.lex_inl_inl, sum.lex_inr_inr, sum.lex.sep, sum.lex_inr_inl] end⟩⟩ }
theorem add_le_add_left {a b : ordinal} : a ≤ b → ∀ c, c + a ≤ c + b :=
induction_on a $ λ α₁ r₁ _, induction_on b $ λ α₂ r₂ _ ⟨⟨⟨f, fo⟩, fi⟩⟩ c,
induction_on c $ λ β s _,
⟨⟨⟨(embedding.refl _).sum_map f,
λ a b, match a, b with
| sum.inl a, sum.inl b := sum.lex_inl_inl.trans sum.lex_inl_inl.symm
| sum.inl a, sum.inr b := by apply iff_of_true; apply sum.lex.sep
| sum.inr a, sum.inl b := by apply iff_of_false; exact sum.lex_inr_inl
| sum.inr a, sum.inr b := sum.lex_inr_inr.trans $ fo.trans sum.lex_inr_inr.symm
end⟩,
λ a b H, match a, b, H with
| _, sum.inl b, _ := ⟨sum.inl b, rfl⟩
| sum.inl a, sum.inr b, H := (sum.lex_inr_inl H).elim
| sum.inr a, sum.inr b, H := let ⟨w, h⟩ := fi _ _ (sum.lex_inr_inr.1 H) in
⟨sum.inr w, congr_arg sum.inr h⟩
end⟩⟩
theorem le_add_right (a b : ordinal) : a ≤ a + b :=
by simpa only [add_zero] using add_le_add_left (ordinal.zero_le b) a
theorem add_le_add_right {a b : ordinal} : a ≤ b → ∀ c, a + c ≤ b + c :=
induction_on a $ λ α₁ r₁ hr₁, induction_on b $ λ α₂ r₂ hr₂ ⟨⟨⟨f, fo⟩, fi⟩⟩ c,
induction_on c $ λ β s hs, (@type_le' _ _ _ _
(@sum.lex.is_well_order _ _ _ _ hr₁ hs)
(@sum.lex.is_well_order _ _ _ _ hr₂ hs)).2
⟨⟨f.sum_map (embedding.refl _), λ a b, begin
split; intro H,
{ cases a with a a; cases b with b b; cases H; constructor; [rwa ← fo, assumption] },
{ cases H; constructor; [rwa fo, assumption] }
end⟩⟩
theorem le_add_left (a b : ordinal) : a ≤ b + a :=
by simpa only [zero_add] using add_le_add_right (ordinal.zero_le b) a
theorem lt_succ_self (o : ordinal.{u}) : o < succ o :=
induction_on o $ λ α r _, ⟨⟨⟨⟨λ x, sum.inl x, λ _ _, sum.inl.inj⟩,
λ _ _, sum.lex_inl_inl⟩,
sum.inr punit.star, λ b, sum.rec_on b
(λ x, ⟨λ _, ⟨x, rfl⟩, λ _, sum.lex.sep _ _⟩)
(λ x, sum.lex_inr_inr.trans ⟨false.elim, λ ⟨x, H⟩, sum.inl_ne_inr H⟩)⟩⟩
theorem succ_le {a b : ordinal} : succ a ≤ b ↔ a < b :=
⟨lt_of_lt_of_le (lt_succ_self _),
induction_on a $ λ α r hr, induction_on b $ λ β s hs ⟨⟨f, t, hf⟩⟩, begin
refine ⟨⟨@rel_embedding.of_monotone (α ⊕ punit) β _ _
(@sum.lex.is_well_order _ _ _ _ hr _).1.1
(@is_asymm_of_is_trans_of_is_irrefl _ _ hs.1.2.2 hs.1.2.1)
(sum.rec _ _) (λ a b, _), λ a b, _⟩⟩,
{ exact f }, { exact λ _, t },
{ rcases a with a|_; rcases b with b|_,
{ simpa only [sum.lex_inl_inl] using f.map_rel_iff.2 },
{ intro _, rw hf, exact ⟨_, rfl⟩ },
{ exact false.elim ∘ sum.lex_inr_inl },
{ exact false.elim ∘ sum.lex_inr_inr.1 } },
{ rcases a with a|_,
{ intro h, have := @principal_seg.init _ _ _ _ hs.1.2.2 ⟨f, t, hf⟩ _ _ h,
cases this with w h, exact ⟨sum.inl w, h⟩ },
{ intro h, cases (hf b).1 h with w h, exact ⟨sum.inl w, h⟩ } }
end⟩
theorem le_total (a b : ordinal) : a ≤ b ∨ b ≤ a :=
match lt_or_eq_of_le (le_add_left b a), lt_or_eq_of_le (le_add_right a b) with
| or.inr h, _ := by rw h; exact or.inl (le_add_right _ _)
| _, or.inr h := by rw h; exact or.inr (le_add_left _ _)
| or.inl h₁, or.inl h₂ := induction_on a (λ α₁ r₁ _,
induction_on b $ λ α₂ r₂ _ ⟨f⟩ ⟨g⟩, begin
resetI,
rw [← typein_top f, ← typein_top g, le_iff_lt_or_eq,
le_iff_lt_or_eq, typein_lt_typein, typein_lt_typein],
rcases trichotomous_of (sum.lex r₁ r₂) g.top f.top with h|h|h;
[exact or.inl (or.inl h), {left, right, rw h}, exact or.inr (or.inl h)]
end) h₁ h₂
end
instance : linear_order ordinal :=
{ le_total := le_total,
decidable_le := classical.dec_rel _,
..ordinal.partial_order }
instance : is_well_order ordinal (<) := ⟨wf⟩
@[simp] lemma typein_le_typein (r : α → α → Prop) [is_well_order α r] {x x' : α} :
typein r x ≤ typein r x' ↔ ¬r x' x :=
by rw [←not_lt, typein_lt_typein]
lemma enum_le_enum (r : α → α → Prop) [is_well_order α r] {o o' : ordinal}
(ho : o < type r) (ho' : o' < type r) : ¬r (enum r o' ho') (enum r o ho) ↔ o ≤ o' :=
by rw [←@not_lt _ _ o' o, enum_lt ho']
/-- `univ.{u v}` is the order type of the ordinals of `Type u` as a member
of `ordinal.{v}` (when `u < v`). It is an inaccessible cardinal. -/
@[nolint check_univs] -- intended to be used with explicit universe parameters
def univ : ordinal.{max (u + 1) v} := lift.{v (u+1)} (@type ordinal.{u} (<) _)
theorem univ_id : univ.{u (u+1)} = @type ordinal.{u} (<) _ := lift_id _
@[simp] theorem lift_univ : lift.{w} univ.{u v} = univ.{u (max v w)} := lift_lift _
theorem univ_umax : univ.{u (max (u+1) v)} = univ.{u v} := congr_fun lift_umax _
/-- Principal segment version of the lift operation on ordinals, embedding `ordinal.{u}` in
`ordinal.{v}` as a principal segment when `u < v`. -/
def lift.principal_seg : @principal_seg ordinal.{u} ordinal.{max (u+1) v} (<) (<) :=
⟨↑lift.initial_seg.{u (max (u+1) v)}, univ.{u v}, begin
refine λ b, induction_on b _, introsI β s _,
rw [univ, ← lift_umax], split; intro h,
{ rw ← lift_id (type s) at h ⊢,
cases lift_type_lt.1 h with f, cases f with f a hf,
existsi a, revert hf,
apply induction_on a, introsI α r _ hf,
refine lift_type_eq.{u (max (u+1) v) (max (u+1) v)}.2
⟨(rel_iso.of_surjective (rel_embedding.of_monotone _ _) _).symm⟩,
{ exact λ b, enum r (f b) ((hf _).2 ⟨_, rfl⟩) },
{ refine λ a b h, (typein_lt_typein r).1 _,
rw [typein_enum, typein_enum],
exact f.map_rel_iff.2 h },
{ intro a', cases (hf _).1 (typein_lt_type _ a') with b e,
existsi b, simp, simp [e] } },
{ cases h with a e, rw [← e],
apply induction_on a, introsI α r _,
exact lift_type_lt.{u (u+1) (max (u+1) v)}.2
⟨typein.principal_seg r⟩ }
end⟩
@[simp] theorem lift.principal_seg_coe :
(lift.principal_seg.{u v} : ordinal → ordinal) = lift.{(max (u+1) v)} := rfl
@[simp] theorem lift.principal_seg_top : lift.principal_seg.top = univ := rfl
theorem lift.principal_seg_top' :
lift.principal_seg.{u (u+1)}.top = @type ordinal.{u} (<) _ :=
by simp only [lift.principal_seg_top, univ_id]
/-! ### Minimum -/
/-- The minimal element of a nonempty family of ordinals -/
def min {ι} (I : nonempty ι) (f : ι → ordinal) : ordinal :=
wf.min (set.range f) (let ⟨i⟩ := I in ⟨_, set.mem_range_self i⟩)
theorem min_eq {ι} (I) (f : ι → ordinal) : ∃ i, min I f = f i :=
let ⟨i, e⟩ := wf.min_mem (set.range f) _ in ⟨i, e.symm⟩
theorem min_le {ι I} (f : ι → ordinal) (i) : min I f ≤ f i :=
le_of_not_gt $ wf.not_lt_min (set.range f) _ (set.mem_range_self i)
theorem le_min {ι I} {f : ι → ordinal} {a} : a ≤ min I f ↔ ∀ i, a ≤ f i :=
⟨λ h i, le_trans h (min_le _ _),
λ h, let ⟨i, e⟩ := min_eq I f in e.symm ▸ h i⟩
/-- The minimal element of a nonempty set of ordinals -/
def omin (S : set ordinal.{u}) (H : ∃ x, x ∈ S) : ordinal.{u} :=
@min.{(u+2) u} S (let ⟨x, px⟩ := H in ⟨⟨x, px⟩⟩) subtype.val
theorem omin_mem (S H) : omin S H ∈ S :=
let ⟨⟨i, h⟩, e⟩ := @min_eq S _ _ in
(show omin S H = i, from e).symm ▸ h
theorem le_omin {S H a} : a ≤ omin S H ↔ ∀ i ∈ S, a ≤ i :=
le_min.trans set_coe.forall
theorem omin_le {S H i} (h : i ∈ S) : omin S H ≤ i :=
le_omin.1 (le_refl _) _ h
@[simp] theorem lift_min {ι} (I) (f : ι → ordinal) : lift (min I f) = min I (lift ∘ f) :=
le_antisymm (le_min.2 $ λ a, lift_le.2 $ min_le _ a) $
let ⟨i, e⟩ := min_eq I (lift ∘ f) in
by rw e; exact lift_le.2 (le_min.2 $ λ j, lift_le.1 $
by have := min_le (lift ∘ f) j; rwa e at this)
instance : conditionally_complete_linear_order_bot ordinal :=
wf.conditionally_complete_linear_order_with_bot 0 $ le_antisymm (ordinal.zero_le _) $
not_lt.1 (wf.not_lt_min set.univ ⟨0, mem_univ _⟩ (mem_univ 0))
@[simp] lemma bot_eq_zero : (⊥ : ordinal) = 0 := rfl
lemma Inf_eq_omin {s : set ordinal} (hs : s.nonempty) :
Inf s = omin s hs :=
begin
simp only [Inf, conditionally_complete_lattice.Inf, omin, conditionally_complete_linear_order.Inf,
conditionally_complete_linear_order_bot.Inf, hs, dif_pos],
congr,
rw subtype.range_val,
end
lemma Inf_mem {s : set ordinal} (hs : s.nonempty) :
Inf s ∈ s :=
by { rw Inf_eq_omin hs, exact omin_mem _ hs }
instance : no_top_order ordinal :=
⟨λ a, ⟨a.succ, lt_succ_self a⟩⟩
end ordinal
/-! ### Representing a cardinal with an ordinal -/
namespace cardinal
open ordinal
/-- The ordinal corresponding to a cardinal `c` is the least ordinal
whose cardinal is `c`. For the order-embedding version, see `ord.order_embedding`. -/
def ord (c : cardinal) : ordinal :=
begin
let ι := λ α, {r // is_well_order α r},
have : Π α, ι α := λ α, ⟨well_ordering_rel, by apply_instance⟩,
let F := λ α, ordinal.min ⟨this _⟩ (λ i:ι α, ⟦⟨α, i.1, i.2⟩⟧),
refine quot.lift_on c F _,
suffices : ∀ {α β}, α ≈ β → F α ≤ F β,
from λ α β h, le_antisymm (this h) (this (setoid.symm h)),
intros α β h, cases h with f, refine ordinal.le_min.2 (λ i, _),
haveI := @rel_embedding.is_well_order _ _
(f ⁻¹'o i.1) _ ↑(rel_iso.preimage f i.1) i.2,
rw ← show type (f ⁻¹'o i.1) = ⟦⟨β, i.1, i.2⟩⟧, from
quot.sound ⟨rel_iso.preimage f i.1⟩,
exact ordinal.min_le (λ i:ι α, ⟦⟨α, i.1, i.2⟩⟧) ⟨_, _⟩
end
lemma ord_eq_min (α : Type u) : ord (#α) =
@ordinal.min {r // is_well_order α r} ⟨⟨well_ordering_rel, by apply_instance⟩⟩
(λ i, ⟦⟨α, i.1, i.2⟩⟧) := rfl
theorem ord_eq (α) : ∃ (r : α → α → Prop) [wo : is_well_order α r],
ord (#α) = @type α r wo :=
let ⟨⟨r, wo⟩, h⟩ := @ordinal.min_eq {r // is_well_order α r}
⟨⟨well_ordering_rel, by apply_instance⟩⟩
(λ i:{r // is_well_order α r}, ⟦⟨α, i.1, i.2⟩⟧) in
⟨r, wo, h⟩
theorem ord_le_type (r : α → α → Prop) [is_well_order α r] : ord (#α) ≤ ordinal.type r :=
@ordinal.min_le {r // is_well_order α r}
⟨⟨well_ordering_rel, by apply_instance⟩⟩
(λ i:{r // is_well_order α r}, ⟦⟨α, i.1, i.2⟩⟧) ⟨r, _⟩
theorem ord_le {c o} : ord c ≤ o ↔ c ≤ o.card :=
quotient.induction_on c $ λ α, induction_on o $ λ β s _,
let ⟨r, _, e⟩ := ord_eq α in begin
resetI, simp only [mk_def, card_type], split; intro h,
{ rw e at h, exact let ⟨f⟩ := h in ⟨f.to_embedding⟩ },
{ cases h with f,
have g := rel_embedding.preimage f s,
haveI := rel_embedding.is_well_order g,
exact le_trans (ord_le_type _) (type_le'.2 ⟨g⟩) }
end
theorem lt_ord {c o} : o < ord c ↔ o.card < c :=
by rw [← not_le, ← not_le, ord_le]
@[simp] theorem card_ord (c) : (ord c).card = c :=
quotient.induction_on c $ λ α,
let ⟨r, _, e⟩ := ord_eq α in by simp only [mk_def, e, card_type]
theorem ord_card_le (o : ordinal) : o.card.ord ≤ o :=
ord_le.2 (le_refl _)
lemma lt_ord_succ_card (o : ordinal) : o < o.card.succ.ord :=
by { rw [lt_ord], apply cardinal.lt_succ_self }
@[simp] theorem ord_le_ord {c₁ c₂} : ord c₁ ≤ ord c₂ ↔ c₁ ≤ c₂ :=
by simp only [ord_le, card_ord]
@[simp] theorem ord_lt_ord {c₁ c₂} : ord c₁ < ord c₂ ↔ c₁ < c₂ :=
by simp only [lt_ord, card_ord]
@[simp] theorem ord_zero : ord 0 = 0 :=
le_antisymm (ord_le.2 $ zero_le _) (ordinal.zero_le _)
@[simp] theorem ord_nat (n : ℕ) : ord n = n :=
le_antisymm (ord_le.2 $ by simp only [card_nat]) $ begin
induction n with n IH,
{ apply ordinal.zero_le },
{ exact (@ordinal.succ_le n _).2 (lt_of_le_of_lt IH $
ord_lt_ord.2 $ nat_cast_lt.2 (nat.lt_succ_self n)) }
end
@[simp] theorem lift_ord (c) : (ord c).lift = ord (lift c) :=
eq_of_forall_ge_iff $ λ o, le_iff_le_iff_lt_iff_lt.2 $ begin
split; intro h,
{ rcases ordinal.lt_lift_iff.1 h with ⟨a, e, h⟩,
rwa [← e, lt_ord, ← lift_card, lift_lt, ← lt_ord] },
{ rw lt_ord at h,
rcases lift_down' (le_of_lt h) with ⟨o, rfl⟩,
rw [← lift_card, lift_lt] at h,
rwa [ordinal.lift_lt, lt_ord] }
end
lemma mk_ord_out (c : cardinal) : #c.ord.out.α = c :=
by rw [←card_type c.ord.out.r, type_out, card_ord]
lemma card_typein_lt (r : α → α → Prop) [is_well_order α r] (x : α)
(h : ord (#α) = type r) : card (typein r x) < #α :=
by { rw [←ord_lt_ord, h], refine lt_of_le_of_lt (ord_card_le _) (typein_lt_type r x) }
lemma card_typein_out_lt (c : cardinal) (x : c.ord.out.α) : card (typein c.ord.out.r x) < c :=
by { convert card_typein_lt c.ord.out.r x _, rw [mk_ord_out], rw [type_out, mk_ord_out] }
lemma ord_injective : injective ord :=
by { intros c c' h, rw [←card_ord c, ←card_ord c', h] }
/-- The ordinal corresponding to a cardinal `c` is the least ordinal
whose cardinal is `c`. This is the order-embedding version. For the regular function, see `ord`.
-/
def ord.order_embedding : cardinal ↪o ordinal :=
rel_embedding.order_embedding_of_lt_embedding
(rel_embedding.of_monotone cardinal.ord $ λ a b, cardinal.ord_lt_ord.2)
@[simp] theorem ord.order_embedding_coe :
(ord.order_embedding : cardinal → ordinal) = ord := rfl
/-- The cardinal `univ` is the cardinality of ordinal `univ`, or
equivalently the cardinal of `ordinal.{u}`, or `cardinal.{u}`,
as an element of `cardinal.{v}` (when `u < v`). -/
@[nolint check_univs] -- intended to be used with explicit universe parameters
def univ := lift.{v (u+1)} (#ordinal)
theorem univ_id : univ.{u (u+1)} = #ordinal := lift_id _
@[simp] theorem lift_univ : lift.{w} univ.{u v} = univ.{u (max v w)} := lift_lift _
theorem univ_umax : univ.{u (max (u+1) v)} = univ.{u v} := congr_fun lift_umax _
theorem lift_lt_univ (c : cardinal) : lift.{(u+1) u} c < univ.{u (u+1)} :=
by simpa only [lift.principal_seg_coe, lift_ord, lift_succ, ord_le, succ_le] using le_of_lt
(lift.principal_seg.{u (u+1)}.lt_top (succ c).ord)
theorem lift_lt_univ' (c : cardinal) : lift.{(max (u+1) v) u} c < univ.{u v} :=
by simpa only [lift_lift, lift_univ, univ_umax] using
lift_lt.{_ (max (u+1) v)}.2 (lift_lt_univ c)
@[simp] theorem ord_univ : ord univ.{u v} = ordinal.univ.{u v} :=
le_antisymm (ord_card_le _) $ le_of_forall_lt $ λ o h,
lt_ord.2 begin
rcases lift.principal_seg.{u v}.down'.1
(by simpa only [lift.principal_seg_coe] using h) with ⟨o', rfl⟩,
simp only [lift.principal_seg_coe], rw [← lift_card],
apply lift_lt_univ'
end
theorem lt_univ {c} : c < univ.{u (u+1)} ↔ ∃ c', c = lift.{(u+1) u} c' :=
⟨λ h, begin
have := ord_lt_ord.2 h,
rw ord_univ at this,
cases lift.principal_seg.{u (u+1)}.down'.1
(by simpa only [lift.principal_seg_top]) with o e,
have := card_ord c,
rw [← e, lift.principal_seg_coe, ← lift_card] at this,
exact ⟨_, this.symm⟩
end, λ ⟨c', e⟩, e.symm ▸ lift_lt_univ _⟩
theorem lt_univ' {c} : c < univ.{u v} ↔ ∃ c', c = lift.{(max (u+1) v) u} c' :=
⟨λ h, let ⟨a, e, h'⟩ := lt_lift_iff.1 h in begin
rw [← univ_id] at h',
rcases lt_univ.{u}.1 h' with ⟨c', rfl⟩,
exact ⟨c', by simp only [e.symm, lift_lift]⟩
end, λ ⟨c', e⟩, e.symm ▸ lift_lt_univ' _⟩
end cardinal
namespace ordinal
@[simp] theorem card_univ : card univ = cardinal.univ := rfl
end ordinal
|
6c7b058b9e3a32f9c4cb2b31bc5ff0a270db8846 | df7bb3acd9623e489e95e85d0bc55590ab0bc393 | /lean/love02_backward_proofs_exercise_sheet.lean | ff153709e559c8a54a7340f50fec0648a7d71159 | [] | 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 | 3,388 | lean | import .love02_backward_proofs_demo
/- # LoVe Exercise 2: Backward Proofs -/
set_option pp.beta true
set_option pp.generalized_field_notation false
namespace LoVe
namespace backward_proofs
/- ## Question 1: Connectives and Quantifiers
1.1. Carry out the following proofs using basic tactics.
Hint: Some strategies for carrying out such proofs are described at the end of
Section 2.3 in the Hitchhiker's Guide. -/
lemma I (a : Prop) :
a → a :=
sorry
lemma K (a b : Prop) :
a → b → b :=
sorry
lemma C (a b c : Prop) :
(a → b → c) → b → a → c :=
sorry
lemma proj_1st (a : Prop) :
a → a → a :=
sorry
/- Please give a different answer than for `proj_1st`: -/
lemma proj_2nd (a : Prop) :
a → a → a :=
sorry
lemma some_nonsense (a b c : Prop) :
(a → b → c) → a → (a → c) → b → c :=
sorry
/- 1.2. Prove the contraposition rule using basic tactics. -/
lemma contrapositive (a b : Prop) :
(a → b) → ¬ b → ¬ a :=
sorry
/- 1.3. Prove the distributivity of `∀` over `∧` using basic tactics.
Hint: This exercise is tricky, especially the right-to-left direction. Some
forward reasoning, like in the proof of `and_swap₂` in the lecture, might be
necessary. -/
lemma forall_and {α : Type} (p q : α → Prop) :
(∀x, p x ∧ q x) ↔ (∀x, p x) ∧ (∀x, q x) :=
sorry
/- ## Question 2: Natural Numbers
2.1. Prove the following recursive equations on the first argument of the
`mul` operator defined in lecture 1. -/
#check mul
lemma mul_zero (n : ℕ) :
mul 0 n = 0 :=
sorry
lemma mul_succ (m n : ℕ) :
mul (nat.succ m) n = add (mul m n) n :=
sorry
/- 2.2. Prove commutativity and associativity of multiplication using the
`induction'` tactic. Choose the induction variable carefully. -/
lemma mul_comm (m n : ℕ) :
mul m n = mul n m :=
sorry
lemma mul_assoc (l m n : ℕ) :
mul (mul l m) n = mul l (mul m n) :=
sorry
/- 2.3. Prove the symmetric variant of `mul_add` using `rw`. To apply
commutativity at a specific position, instantiate the rule by passing some
arguments (e.g., `mul_comm _ l`). -/
lemma add_mul (l m n : ℕ) :
mul (add l m) n = add (mul n l) (mul n m) :=
sorry
/- ## Question 3 (**optional**): Intuitionistic Logic
Intuitionistic logic is extended to classical logic by assuming a classical
axiom. There are several possibilities for the choice of axiom. In this
question, we are concerned with the logical equivalence of three different
axioms: -/
def excluded_middle :=
∀a : Prop, a ∨ ¬ a
def peirce :=
∀a b : Prop, ((a → b) → a) → a
def double_negation :=
∀a : Prop, (¬¬ a) → a
/- For the proofs below, please avoid using lemmas from Lean's `classical`
namespace, because this would defeat the purpose of the exercise.
3.1 (**optional**). Prove the following implication using tactics.
Hint: You will need `or.elim` and `false.elim`. You can use
`rw excluded_middle` to unfold the definition of `excluded_middle`,
and similarly for `peirce`. -/
lemma peirce_of_em :
excluded_middle → peirce :=
sorry
/- 3.2 (**optional**). Prove the following implication using tactics. -/
lemma dn_of_peirce :
peirce → double_negation :=
sorry
/- We leave the missing implication for the homework: -/
namespace sorry_lemmas
lemma em_of_dn :
double_negation → excluded_middle :=
sorry
end sorry_lemmas
end backward_proofs
end LoVe
|
61032e48073d9915eea57fb5c7726287bea2aac9 | 80cc5bf14c8ea85ff340d1d747a127dcadeb966f | /src/tactic/solve_by_elim.lean | d53b9c7a72df2ebe59369c7e1fc01efe07805146 | [
"Apache-2.0"
] | permissive | lacker/mathlib | f2439c743c4f8eb413ec589430c82d0f73b2d539 | ddf7563ac69d42cfa4a1bfe41db1fed521bd795f | refs/heads/master | 1,671,948,326,773 | 1,601,479,268,000 | 1,601,479,268,000 | 298,686,743 | 0 | 0 | Apache-2.0 | 1,601,070,794,000 | 1,601,070,794,000 | null | UTF-8 | Lean | false | false | 14,282 | lean | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Scott Morrison
-/
import tactic.core
/-!
# solve_by_elim
A depth-first search backwards reasoner.
`solve_by_elim` takes a list of lemmas, and repeating tries to `apply` these against
the goals, recursively acting on any generated subgoals.
It accepts a variety of configuration options described below, enabling
* backtracking across multiple goals,
* pruning the search tree, and
* invoking other tactics before or after trying to apply lemmas.
At present it has no "premise selection", and simply tries the supplied lemmas in order
at each step of the search.
-/
namespace tactic
namespace solve_by_elim
/--
`mk_assumption_set` builds a collection of lemmas for use in the backtracking search in `solve_by_elim`.
* By default, it includes all local hypotheses, along with `rfl`, `trivial`, `congr_fun` and
`congr_arg`.
* The flag `no_dflt` removes these.
* The argument `hs` is a list of `simp_arg_type`s,
and can be used to add, or remove, lemmas or expressions from the set.
* The argument `attr : list name` adds all lemmas tagged with one of a specified list of attributes.
`mk_assumption_set` returns not a `list expr`, but a `list (tactic expr)`.
The problem here is that we may generate lemmas that have as yet unspecified implicit arguments,
and these implicit arguments would be filled in by metavariables if we created the actual `expr`
objects now.
As an example, we have `def rfl : ∀ {α : Sort u} {a : α}, a = a`, which on elaboration will become
`@rfl ?m_1 ?m_2`.
Because `solve_by_elim` works by repeated application of lemmas against subgoals,
the first time such a lemma is successfully applied,
those metavariables will be unified, and thereafter have fixed values.
This would make it impossible to apply the lemma
a second time with different values of the metavariables.
See https://github.com/leanprover-community/mathlib/issues/2269
As an optimisation, after we build the list of `tactic expr`s, we actually run them, and replace any
that do not in fact produce metavariables with a simple `return` tactic.
-/
meta def mk_assumption_set (no_dflt : bool) (hs : list simp_arg_type) (attr : list name) :
tactic (list (tactic expr)) :=
-- We lock the tactic state so that any spurious goals generated during
-- elaboration of pre-expressions are discarded
lock_tactic_state $
do
-- `hs` are expressions specified explicitly,
-- `hex` are exceptions (specified via `solve_by_elim [-h]`) referring to local hypotheses,
-- `gex` are the other exceptions
(hs, gex, hex, all_hyps) ← decode_simp_arg_list hs,
-- Recall, per the discussion above, we produce `tactic expr` thunks rather than actual `expr`s.
-- Note that while we evaluate these thunks on two occasions below while preparing the list,
-- this is a one-time cost during `mk_assumption_set`, rather than a cost proportional to the
-- length of the search `solve_by_elim` executes.
let hs := hs.map (λ h, i_to_expr_for_apply h),
l ← attr.mmap $ λ a, attribute.get_instances a,
let l := l.join,
let m := l.map (λ h, mk_const h),
-- In order to remove the expressions we need to evaluate the thunks.
hs ← (hs ++ m).mfilter $ λ h, (do h ← h, return $ expr.const_name h ∉ gex),
let hs := if no_dflt then hs else
([`rfl, `trivial, `congr_fun, `congr_arg].map (λ n, (mk_const n))) ++ hs,
hs ← if ¬ no_dflt ∨ all_hyps then do
ctx ← local_context,
-- Remove local exceptions specified in `hex`:
return $ hs.append ((ctx.filter (λ h : expr, h.local_uniq_name ∉ hex)).map return)
else return hs,
-- Finally, run all of the tactics: any that return an expression without metavariables can safely
-- be replaced by a `return` tactic.
hs.mmap (λ h, do e ← h, if e.has_meta_var then return h else return (return e))
/--
Configuration options for `solve_by_elim`.
* `accept : list expr → tactic unit` determines whether the current branch should be explored.
At each step, before the lemmas are applied,
`accept` is passed the proof terms for the original goals,
as reported by `get_goals` when `solve_by_elim` started.
These proof terms may be metavariables (if no progress has been made on that goal)
or may contain metavariables at some leaf nodes
(if the goal has been partially solved by previous `apply` steps).
If the `accept` tactic fails `solve_by_elim` aborts searching this branch and backtracks.
By default `accept := λ _, skip` always succeeds.
(There is an example usage in `tests/solve_by_elim.lean`.)
* `pre_apply : tactic unit` specifies an additional tactic to run before each round of `apply`.
* `discharger : tactic unit` specifies an additional tactic to apply on subgoals
for which no lemma applies.
If that tactic succeeds, `solve_by_elim` will continue applying lemmas on resulting goals.
-/
meta structure basic_opt extends apply_any_opt :=
(accept : list expr → tactic unit := λ _, skip)
(pre_apply : tactic unit := skip)
(discharger : tactic unit := failed)
(max_depth : ℕ := 3)
declare_trace solve_by_elim -- trace attempted lemmas
/--
A helper function for trace messages, prepending '....' depending on the current search depth.
-/
meta def solve_by_elim_trace (n : ℕ) (f : format) : tactic unit :=
trace_if_enabled `solve_by_elim
(format!"[solve_by_elim {(list.repeat '.' (n+1)).as_string} " ++ f ++ "]")
/-- A helper function to generate trace messages on successful applications. -/
meta def on_success (g : format) (n : ℕ) (e : expr) : tactic unit :=
do
pp ← pp e,
solve_by_elim_trace n (format!"✅ `{pp}` solves `⊢ {g}`")
/-- A helper function to generate trace messages on unsuccessful applications. -/
meta def on_failure (g : format) (n : ℕ) : tactic unit :=
solve_by_elim_trace n (format!"❌ failed to solve `⊢ {g}`")
/--
A helper function to generate the tactic that print trace messages.
This function exists to ensure the target is pretty printed only as necessary.
-/
meta def trace_hooks (n : ℕ) : tactic ((expr → tactic unit) × tactic unit) :=
if is_trace_enabled_for `solve_by_elim then
do
g ← target >>= pp,
return (on_success g n, on_failure g n)
else
return (λ _, skip, skip)
/--
The internal implementation of `solve_by_elim`, with a limiting counter.
-/
meta def solve_by_elim_aux (opt : basic_opt)
(original_goals : list expr) (lemmas : list (tactic expr)) : ℕ → tactic unit
| n := do
-- First, check that progress so far is `accept`able.
lock_tactic_state (original_goals.mmap instantiate_mvars >>= opt.accept),
-- Then check if we've finished.
(done >> solve_by_elim_trace (opt.max_depth - n) "success!") <|> (do
-- Otherwise, if there's more time left,
(guard (n > 0) <|>
solve_by_elim_trace opt.max_depth "🛑 aborting, hit depth limit" >> failed),
-- run the `pre_apply` tactic, then
opt.pre_apply,
-- try either applying a lemma and recursing,
(on_success, on_failure) ← trace_hooks (opt.max_depth - n),
(apply_any_thunk lemmas opt.to_apply_any_opt (solve_by_elim_aux (n-1))
on_success on_failure) <|>
-- or if that doesn't work, run the discharger and recurse.
(opt.discharger >> solve_by_elim_aux (n-1)))
/--
Arguments for `solve_by_elim`:
* By default `solve_by_elim` operates only on the first goal,
but with `backtrack_all_goals := true`, it operates on all goals at once,
backtracking across goals as needed,
and only succeeds if it discharges all goals.
* `lemmas` specifies the list of lemmas to use in the backtracking search.
If `none`, `solve_by_elim` uses the local hypotheses,
along with `rfl`, `trivial`, `congr_arg`, and `congr_fun`.
* `lemma_thunks` provides the lemmas as a list of `tactic expr`,
which are used to regenerate the `expr` objects to avoid binding metavariables.
(If both `lemmas` and `lemma_thunks` are specified, only `lemma_thunks` is used.)
* `max_depth` bounds the depth of the search.
-/
meta structure opt extends basic_opt :=
(backtrack_all_goals : bool := ff)
(lemmas : option (list expr) := none)
(lemma_thunks : option (list (tactic expr)) := lemmas.map (λ l, l.map return))
/--
If no lemmas have been specified, generate the default set
(local hypotheses, along with `rfl`, `trivial`, `congr_arg`, and `congr_fun`).
-/
meta def opt.get_lemma_thunks (opt : opt) : tactic (list (tactic expr)) :=
match opt.lemma_thunks with
| none := mk_assumption_set ff [] []
| some lemma_thunks := return lemma_thunks
end
end solve_by_elim
open solve_by_elim
/--
`solve_by_elim` repeatedly tries `apply`ing a lemma
from the list of assumptions (passed via the `opt` argument),
recursively operating on any generated subgoals, backtracking as necessary.
`solve_by_elim` succeeds only if it discharges the goal.
(By default, `solve_by_elim` focuses on the first goal, and only attempts to solve that.
With the option `backtrack_all_goals := tt`,
it attempts to solve all goals, and only succeeds if it does so.
With `backtrack_all_goals := tt`, `solve_by_elim` will backtrack a solution it has found for
one goal if it then can't discharge other goals.)
If passed an empty list of assumptions, `solve_by_elim` builds a default set
as per the interactive tactic, using the `local_context` along with
`rfl`, `trivial`, `congr_arg`, and `congr_fun`.
To pass a particular list of assumptions, use the `lemmas` field
in the configuration argument. This expects an
`option (list expr)`. In certain situations it may be necessary to instead use the
`lemma_thunks` field, which expects a `option (list (tactic expr))`.
This allows for regenerating metavariables
for each application, which might otherwise get stuck.
See also the simpler tactic `apply_rules`, which does not perform backtracking.
-/
meta def solve_by_elim (opt : opt := { }) : tactic unit :=
do
tactic.fail_if_no_goals,
lemmas ← opt.get_lemma_thunks,
(if opt.backtrack_all_goals then id else focus1) $ (do
gs ← get_goals,
solve_by_elim_aux opt.to_basic_opt gs lemmas opt.max_depth <|>
fail ("`solve_by_elim` failed.\n" ++
"Try `solve_by_elim { max_depth := N }` for `N > " ++ (to_string opt.max_depth) ++ "`\n" ++
"or use `set_option trace.solve_by_elim true` to view the search."))
open interactive lean.parser interactive.types
local postfix `?`:9001 := optional
namespace interactive
/--
`apply_assumption` looks for an assumption of the form `... → ∀ _, ... → head`
where `head` matches the current goal.
If this fails, `apply_assumption` will call `symmetry` and try again.
If this also fails, `apply_assumption` will call `exfalso` and try again,
so that if there is an assumption of the form `P → ¬ Q`, the new tactic state
will have two goals, `P` and `Q`.
Optional arguments:
- `lemmas`: a list of expressions to apply, instead of the local constants
- `tac`: a tactic to run on each subgoal after applying an assumption; if
this tactic fails, the corresponding assumption will be rejected and
the next one will be attempted.
-/
meta def apply_assumption
(lemmas : option (list expr) := none)
(opt : apply_any_opt := {})
(tac : tactic unit := skip) : tactic unit :=
do
lemmas ← match lemmas with
| none := local_context
| some lemmas := return lemmas
end,
tactic.apply_any lemmas opt tac
add_tactic_doc
{ name := "apply_assumption",
category := doc_category.tactic,
decl_names := [`tactic.interactive.apply_assumption],
tags := ["context management", "lemma application"] }
/--
`solve_by_elim` calls `apply` on the main goal to find an assumption whose head matches
and then repeatedly calls `apply` on the generated subgoals until no subgoals remain,
performing at most `max_depth` recursive steps.
`solve_by_elim` discharges the current goal or fails.
`solve_by_elim` performs back-tracking if subgoals can not be solved.
By default, the assumptions passed to `apply` are the local context, `rfl`, `trivial`,
`congr_fun` and `congr_arg`.
The assumptions can be modified with similar syntax as for `simp`:
* `solve_by_elim [h₁, h₂, ..., hᵣ]` also applies the named lemmas.
* `solve_by_elim with attr₁ ... attrᵣ` also applies all lemmas tagged with the specified attributes.
* `solve_by_elim only [h₁, h₂, ..., hᵣ]` does not include the local context,
`rfl`, `trivial`, `congr_fun`, or `congr_arg` unless they are explicitly included.
* `solve_by_elim [-id_1, ... -id_n]` uses the default assumptions, removing the specified ones.
`solve_by_elim*` tries to solve all goals together, using backtracking if a solution for one goal
makes other goals impossible.
optional arguments passed via a configuration argument as `solve_by_elim { ... }`
- max_depth: number of attempts at discharging generated sub-goals
- discharger: a subsidiary tactic to try at each step when no lemmas apply (e.g. `cc` may be helpful).
- pre_apply: a subsidiary tactic to run at each step before applying lemmas (e.g. `intros`).
- accept: a subsidiary tactic `list expr → tactic unit` that at each step,
before any lemmas are applied, is passed the original proof terms
as reported by `get_goals` when `solve_by_elim` started
(but which may by now have been partially solved by previous `apply` steps).
If the `accept` tactic fails,
`solve_by_elim` will abort searching the current branch and backtrack.
This may be used to filter results, either at every step of the search,
or filtering complete results
(by testing for the absence of metavariables, and then the filtering condition).
-/
meta def solve_by_elim (all_goals : parse $ (tk "*")?) (no_dflt : parse only_flag)
(hs : parse simp_arg_list) (attr_names : parse with_ident_list) (opt : solve_by_elim.opt := { }) :
tactic unit :=
do lemma_thunks ← mk_assumption_set no_dflt hs attr_names,
tactic.solve_by_elim
{ backtrack_all_goals := all_goals.is_some ∨ opt.backtrack_all_goals,
lemma_thunks := some lemma_thunks,
..opt }
add_tactic_doc
{ name := "solve_by_elim",
category := doc_category.tactic,
decl_names := [`tactic.interactive.solve_by_elim],
tags := ["search"] }
end interactive
end tactic
|
6f8b0bef58b6f3131ac7e830dca8ab34ee576da5 | 7cef822f3b952965621309e88eadf618da0c8ae9 | /src/ring_theory/maps.lean | 476cdd1c542916fb77183c3800e390a9298d5839 | [
"Apache-2.0"
] | permissive | rmitta/mathlib | 8d90aee30b4db2b013e01f62c33f297d7e64a43d | 883d974b608845bad30ae19e27e33c285200bf84 | refs/heads/master | 1,585,776,832,544 | 1,576,874,096,000 | 1,576,874,096,000 | 153,663,165 | 0 | 2 | Apache-2.0 | 1,544,806,490,000 | 1,539,884,365,000 | Lean | UTF-8 | Lean | false | false | 5,153 | lean | /-
Copyright (c) 2018 Andreas Swerdlow. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andreas Swerdlow, Kenny Lau
-/
import data.equiv.algebra
/-!
# Ring antihomomorphisms, isomorphisms, antiisomorphisms and involutions
This file defines ring antihomomorphisms, antiisomorphism and involutions
and proves basic properties of them.
## Notations
All types defined in this file are given a coercion to the underlying function.
## References
* <https://en.wikipedia.org/wiki/Antihomomorphism>
* <https://en.wikipedia.org/wiki/Involution_(mathematics)#Ring_theory>
## Tags
Ring isomorphism, automorphism, antihomomorphism, antiisomorphism, antiautomorphism, involution
-/
variables {R : Type*} {F : Type*}
/- The Proposition that a function from a ring to a ring is an antihomomorphism -/
class is_ring_anti_hom [ring R] [ring F] (f : R → F) : Prop :=
(map_one : f 1 = 1)
(map_mul : ∀ {x y : R}, f (x * y) = f y * f x)
(map_add : ∀ {x y : R}, f (x + y) = f x + f y)
namespace is_ring_anti_hom
variables [ring R] [ring F] (f : R → F) [is_ring_anti_hom f]
@[priority 100] -- see Note [lower instance priority]
instance : is_add_group_hom f :=
{ to_is_add_hom := ⟨λ x y, is_ring_anti_hom.map_add f⟩ }
lemma map_zero : f 0 = 0 :=
is_add_group_hom.map_zero f
lemma map_neg {x} : f (-x) = -f x :=
is_add_group_hom.map_neg f x
lemma map_sub {x y} : f (x - y) = f x - f y :=
is_add_group_hom.map_sub f x y
end is_ring_anti_hom
variables (R F)
namespace ring_equiv
open ring_equiv
variables {R F} [ring R] [ring F] (Hs : R ≃+* F) (x y : R)
lemma bijective : function.bijective Hs :=
Hs.to_equiv.bijective
lemma map_zero_iff {x : R} : Hs x = 0 ↔ x = 0 :=
⟨λ H, Hs.bijective.1 $ H.symm ▸ Hs.map_zero.symm,
λ H, H.symm ▸ Hs.map_zero⟩
end ring_equiv
/-- A ring antiisomorphism -/
structure ring_anti_equiv [ring R] [ring F] extends R ≃ F :=
[anti_hom : is_ring_anti_hom to_fun]
namespace ring_anti_equiv
variables {R F} [ring R] [ring F] (Hs : ring_anti_equiv R F) (x y : R)
instance : has_coe_to_fun (ring_anti_equiv R F) :=
⟨_, λ Hs, Hs.to_fun⟩
instance : is_ring_anti_hom Hs := Hs.anti_hom
lemma map_add : Hs (x + y) = Hs x + Hs y :=
is_ring_anti_hom.map_add Hs
lemma map_zero : Hs 0 = 0 :=
is_ring_anti_hom.map_zero Hs
lemma map_neg : Hs (-x) = -Hs x :=
is_ring_anti_hom.map_neg Hs
lemma map_sub : Hs (x - y) = Hs x - Hs y :=
is_ring_anti_hom.map_sub Hs
lemma map_mul : Hs (x * y) = Hs y * Hs x :=
is_ring_anti_hom.map_mul Hs
lemma map_one : Hs 1 = 1 :=
is_ring_anti_hom.map_one Hs
lemma map_neg_one : Hs (-1) = -1 :=
Hs.map_one ▸ Hs.map_neg 1
lemma bijective : function.bijective Hs := Hs.to_equiv.bijective
lemma map_zero_iff {x : R} : Hs x = 0 ↔ x = 0 :=
⟨λ H, Hs.bijective.1 $ H.symm ▸ Hs.map_zero.symm,
λ H, H.symm ▸ Hs.map_zero⟩
end ring_anti_equiv
/-- A ring involution -/
structure ring_invo [ring R] :=
(to_fun : R → R)
[anti_hom : is_ring_anti_hom to_fun]
(to_fun_to_fun : ∀ x, to_fun (to_fun x) = x)
open ring_invo
namespace ring_invo
variables {R} [ring R] (Hi : ring_invo R) (x y : R)
instance : has_coe_to_fun (ring_invo R) :=
⟨_, λ Hi, Hi.to_fun⟩
instance : is_ring_anti_hom Hi := Hi.anti_hom
def to_ring_anti_equiv : ring_anti_equiv R R :=
{ inv_fun := Hi,
left_inv := Hi.to_fun_to_fun,
right_inv := Hi.to_fun_to_fun,
.. Hi }
lemma map_add : Hi (x + y) = Hi x + Hi y :=
Hi.to_ring_anti_equiv.map_add x y
lemma map_zero : Hi 0 = 0 :=
Hi.to_ring_anti_equiv.map_zero
lemma map_neg : Hi (-x) = -Hi x :=
Hi.to_ring_anti_equiv.map_neg x
lemma map_sub : Hi (x - y) = Hi x - Hi y :=
Hi.to_ring_anti_equiv.map_sub x y
lemma map_mul : Hi (x * y) = Hi y * Hi x :=
Hi.to_ring_anti_equiv.map_mul x y
lemma map_one : Hi 1 = 1 :=
Hi.to_ring_anti_equiv.map_one
lemma map_neg_one : Hi (-1) = -1 :=
Hi.to_ring_anti_equiv.map_neg_one
lemma bijective : function.bijective Hi :=
Hi.to_ring_anti_equiv.bijective
lemma map_zero_iff {x : R} : Hi x = 0 ↔ x = 0 :=
Hi.to_ring_anti_equiv.map_zero_iff
end ring_invo
section comm_ring
variables (R F) [comm_ring R] [comm_ring F]
protected def ring_invo.id : ring_invo R :=
{ anti_hom := ⟨rfl, mul_comm, λ _ _, rfl⟩,
to_fun_to_fun := λ _, rfl,
.. equiv.refl R }
protected def ring_anti_equiv.refl : ring_anti_equiv R R :=
(ring_invo.id R).to_ring_anti_equiv
variables {R F}
theorem comm_ring.hom_to_anti_hom (f : R → F) [is_ring_hom f] : is_ring_anti_hom f :=
{ map_add := λ _ _, is_ring_hom.map_add f,
map_mul := λ _ _, by rw [is_ring_hom.map_mul f, mul_comm],
map_one := is_ring_hom.map_one f }
theorem comm_ring.anti_hom_to_hom (f : R → F) [is_ring_anti_hom f] : is_ring_hom f :=
{ map_add := λ _ _, is_ring_anti_hom.map_add f,
map_mul := λ _ _, by rw [is_ring_anti_hom.map_mul f, mul_comm],
map_one := is_ring_anti_hom.map_one f }
def comm_ring.equiv_to_anti_equiv (Hs : R ≃+* F) : ring_anti_equiv R F :=
{ anti_hom := comm_ring.hom_to_anti_hom Hs,
.. Hs }
def comm_ring.anti_equiv_to_equiv (Hs : ring_anti_equiv R F) : R ≃+* F :=
@ring_equiv.of' _ _ _ _ Hs.to_equiv (comm_ring.anti_hom_to_hom Hs)
end comm_ring
|
9736e14fe341e31f0ad516a0a67183dfc2d79666 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/topology/algebra/order/field.lean | 58445c3027a37c7655566edf5e41f177f4d24287 | [
"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 | 16,443 | lean | /-
Copyright (c) 2022 Benjamin Davidson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Benjamin Davidson, Devon Tuma, Eric Rodriguez, Oliver Nash
-/
import tactic.positivity
import topology.algebra.order.basic
import topology.algebra.field
/-!
# Topologies on linear ordered fields
-/
open set filter topological_space
open function
open order_dual (to_dual of_dual)
open_locale topological_space classical filter
variables {α β : Type*}
variables [linear_ordered_field α] [topological_space α] [order_topology α]
variables {l : filter β} {f g : β → α}
section continuous_mul
lemma mul_tendsto_nhds_zero_right (x : α) :
tendsto (uncurry ((*) : α → α → α)) (𝓝 0 ×ᶠ 𝓝 x) $ 𝓝 0 :=
begin
have hx : 0 < 2 * (1 + |x|) := by positivity,
rw ((nhds_basis_zero_abs_sub_lt α).prod $ nhds_basis_abs_sub_lt x).tendsto_iff
(nhds_basis_zero_abs_sub_lt α),
refine λ ε ε_pos, ⟨(ε/(2 * (1 + |x|)), 1), ⟨div_pos ε_pos hx, zero_lt_one⟩, _⟩,
suffices : ∀ (a b : α), |a| < ε / (2 * (1 + |x|)) → |b - x| < 1 → |a| * |b| < ε,
by simpa only [and_imp, prod.forall, mem_prod, ← abs_mul],
intros a b h h',
refine lt_of_le_of_lt (mul_le_mul_of_nonneg_left _ (abs_nonneg a)) ((lt_div_iff hx).1 h),
calc |b| = |(b - x) + x| : by rw sub_add_cancel b x
... ≤ |b - x| + |x| : abs_add (b - x) x
... ≤ 2 * (1 + |x|) : by linarith,
end
lemma mul_tendsto_nhds_zero_left (x : α) :
tendsto (uncurry ((*) : α → α → α)) (𝓝 x ×ᶠ 𝓝 0) $ 𝓝 0 :=
begin
intros s hs,
have := mul_tendsto_nhds_zero_right x hs,
rw [filter.mem_map, mem_prod_iff] at this ⊢,
obtain ⟨U, hU, V, hV, h⟩ := this,
exact ⟨V, hV, U, hU, λ y hy, ((mul_comm y.2 y.1) ▸
h (⟨hy.2, hy.1⟩ : (prod.mk y.2 y.1) ∈ U ×ˢ V) : y.1 * y.2 ∈ s)⟩,
end
lemma nhds_eq_map_mul_left_nhds_one {x₀ : α} (hx₀ : x₀ ≠ 0) :
𝓝 x₀ = map (λ x, x₀*x) (𝓝 1) :=
begin
have hx₀' : 0 < |x₀| := abs_pos.2 hx₀,
refine filter.ext (λ t, _),
simp only [exists_prop, set_of_subset_set_of, (nhds_basis_abs_sub_lt x₀).mem_iff,
(nhds_basis_abs_sub_lt (1 : α)).mem_iff, filter.mem_map'],
refine ⟨λ h, _, λ h, _⟩,
{ obtain ⟨i, hi, hit⟩ := h,
refine ⟨i / (|x₀|), div_pos hi (abs_pos.2 hx₀), λ x hx, hit _⟩,
calc |x₀ * x - x₀| = |x₀ * (x - 1)| : congr_arg abs (by ring_nf)
... = |x₀| * |x - 1| : abs_mul x₀ (x - 1)
... < |x₀| * (i / |x₀|) : mul_lt_mul' le_rfl hx (by positivity) (abs_pos.2 hx₀)
... = |x₀| * i / |x₀| : by ring
... = i : mul_div_cancel_left i (λ h, hx₀ (abs_eq_zero.1 h)) },
{ obtain ⟨i, hi, hit⟩ := h,
refine ⟨i * |x₀|, mul_pos hi (abs_pos.2 hx₀), λ x hx, _⟩,
have : |x / x₀ - 1| < i,
calc |x / x₀ - 1| = |x / x₀ - x₀ / x₀| : (by rw div_self hx₀)
... = |(x - x₀) / x₀| : congr_arg abs (sub_div x x₀ x₀).symm
... = |x - x₀| / |x₀| : abs_div (x - x₀) x₀
... < i * |x₀| / |x₀| : div_lt_div_of_lt (abs_pos.2 hx₀) hx
... = i : by rw [← mul_div_assoc', div_self (ne_of_lt $ abs_pos.2 hx₀).symm, mul_one],
specialize hit (x / x₀) this,
rwa [mul_div_assoc', mul_div_cancel_left x hx₀] at hit }
end
lemma nhds_eq_map_mul_right_nhds_one {x₀ : α} (hx₀ : x₀ ≠ 0) :
𝓝 x₀ = map (λ x, x*x₀) (𝓝 1) :=
by simp_rw [mul_comm _ x₀, nhds_eq_map_mul_left_nhds_one hx₀]
lemma mul_tendsto_nhds_one_nhds_one :
tendsto (uncurry ((*) : α → α → α)) (𝓝 1 ×ᶠ 𝓝 1) $ 𝓝 1 :=
begin
rw ((nhds_basis_Ioo_pos (1 : α)).prod $ nhds_basis_Ioo_pos (1 : α)).tendsto_iff
(nhds_basis_Ioo_pos_of_pos (zero_lt_one : (0 : α) < 1)),
intros ε hε,
have hε' : 0 ≤ 1 - ε / 4 := by linarith,
have ε_pos : 0 < ε / 4 := by linarith,
have ε_pos' : 0 < ε / 2 := by linarith,
simp only [and_imp, prod.forall, mem_Ioo, function.uncurry_apply_pair, mem_prod, prod.exists],
refine ⟨ε/4, ε/4, ⟨ε_pos, ε_pos⟩, λ a b ha ha' hb hb', _⟩,
have ha0 : 0 ≤ a := le_trans hε' (le_of_lt ha),
have hb0 : 0 ≤ b := le_trans hε' (le_of_lt hb),
refine ⟨lt_of_le_of_lt _ (mul_lt_mul'' ha hb hε' hε'),
lt_of_lt_of_le (mul_lt_mul'' ha' hb' ha0 hb0) _⟩,
{ calc 1 - ε = 1 - ε / 2 - ε/2 : by ring_nf
... ≤ 1 - ε/2 - ε/2 + (ε/2)*(ε/2) : le_add_of_nonneg_right (by positivity)
... = (1 - ε/2) * (1 - ε/2) : by ring_nf
... ≤ (1 - ε/4) * (1 - ε/4) : mul_le_mul (by linarith) (by linarith) (by linarith) hε' },
{ calc (1 + ε/4) * (1 + ε/4) = 1 + ε/2 + (ε/4)*(ε/4) : by ring_nf
... = 1 + ε/2 + (ε * ε) / 16 : by ring_nf
... ≤ 1 + ε/2 + ε/2 : add_le_add_left (div_le_div (le_of_lt hε.1) (le_trans
((mul_le_mul_left hε.1).2 hε.2) (le_of_eq $ mul_one ε)) zero_lt_two (by linarith)) (1 + ε/2)
... ≤ 1 + ε : by ring_nf }
end
@[priority 100] -- see Note [lower instance priority]
instance linear_ordered_field.has_continuous_mul : has_continuous_mul α :=
⟨begin
rw continuous_iff_continuous_at,
rintro ⟨x₀, y₀⟩,
by_cases hx₀ : x₀ = 0,
{ rw [hx₀, continuous_at, zero_mul, nhds_prod_eq],
exact mul_tendsto_nhds_zero_right y₀ },
by_cases hy₀ : y₀ = 0,
{ rw [hy₀, continuous_at, mul_zero, nhds_prod_eq],
exact mul_tendsto_nhds_zero_left x₀ },
have hxy : x₀ * y₀ ≠ 0 := mul_ne_zero hx₀ hy₀,
have key : (λ p : α × α, x₀ * p.1 * (p.2 * y₀)) = ((λ x, x₀*x) ∘ (λ x, x*y₀)) ∘ (uncurry (*)),
{ ext p, simp [uncurry, mul_assoc] },
have key₂ : (λ x, x₀*x) ∘ (λ x, y₀*x) = λ x, (x₀ *y₀)*x,
{ ext x, simp },
calc map (uncurry (*)) (𝓝 (x₀, y₀))
= map (uncurry (*)) (𝓝 x₀ ×ᶠ 𝓝 y₀) : by rw nhds_prod_eq
... = map (λ (p : α × α), x₀ * p.1 * (p.2 * y₀)) ((𝓝 1) ×ᶠ (𝓝 1))
: by rw [uncurry, nhds_eq_map_mul_left_nhds_one hx₀, nhds_eq_map_mul_right_nhds_one hy₀,
prod_map_map_eq, filter.map_map]
... = map ((λ x, x₀ * x) ∘ λ x, x * y₀) (map (uncurry (*)) (𝓝 1 ×ᶠ 𝓝 1))
: by rw [key, ← filter.map_map]
... ≤ map ((λ (x : α), x₀ * x) ∘ λ x, x * y₀) (𝓝 1) : map_mono (mul_tendsto_nhds_one_nhds_one)
... = 𝓝 (x₀*y₀) : by rw [← filter.map_map, ← nhds_eq_map_mul_right_nhds_one hy₀,
nhds_eq_map_mul_left_nhds_one hy₀, filter.map_map, key₂, ← nhds_eq_map_mul_left_nhds_one hxy],
end⟩
end continuous_mul
/-- In a linearly ordered field with the order topology, if `f` tends to `at_top` and `g` tends to
a positive constant `C` then `f * g` tends to `at_top`. -/
lemma filter.tendsto.at_top_mul {C : α} (hC : 0 < C) (hf : tendsto f l at_top)
(hg : tendsto g l (𝓝 C)) :
tendsto (λ x, (f x * g x)) l at_top :=
begin
refine tendsto_at_top_mono' _ _ (hf.at_top_mul_const (half_pos hC)),
filter_upwards [hg.eventually (lt_mem_nhds (half_lt_self hC)),
hf.eventually (eventually_ge_at_top 0)] with x hg hf using mul_le_mul_of_nonneg_left hg.le hf,
end
/-- In a linearly ordered field with the order topology, if `f` tends to a positive constant `C` and
`g` tends to `at_top` then `f * g` tends to `at_top`. -/
lemma filter.tendsto.mul_at_top {C : α} (hC : 0 < C) (hf : tendsto f l (𝓝 C))
(hg : tendsto g l at_top) :
tendsto (λ x, (f x * g x)) l at_top :=
by simpa only [mul_comm] using hg.at_top_mul hC hf
/-- In a linearly ordered field with the order topology, if `f` tends to `at_top` and `g` tends to
a negative constant `C` then `f * g` tends to `at_bot`. -/
lemma filter.tendsto.at_top_mul_neg {C : α} (hC : C < 0) (hf : tendsto f l at_top)
(hg : tendsto g l (𝓝 C)) :
tendsto (λ x, (f x * g x)) l at_bot :=
by simpa only [(∘), neg_mul_eq_mul_neg, neg_neg]
using tendsto_neg_at_top_at_bot.comp (hf.at_top_mul (neg_pos.2 hC) hg.neg)
/-- In a linearly ordered field with the order topology, if `f` tends to a negative constant `C` and
`g` tends to `at_top` then `f * g` tends to `at_bot`. -/
lemma filter.tendsto.neg_mul_at_top {C : α} (hC : C < 0) (hf : tendsto f l (𝓝 C))
(hg : tendsto g l at_top) :
tendsto (λ x, (f x * g x)) l at_bot :=
by simpa only [mul_comm] using hg.at_top_mul_neg hC hf
/-- In a linearly ordered field with the order topology, if `f` tends to `at_bot` and `g` tends to
a positive constant `C` then `f * g` tends to `at_bot`. -/
lemma filter.tendsto.at_bot_mul {C : α} (hC : 0 < C) (hf : tendsto f l at_bot)
(hg : tendsto g l (𝓝 C)) :
tendsto (λ x, (f x * g x)) l at_bot :=
by simpa [(∘)]
using tendsto_neg_at_top_at_bot.comp ((tendsto_neg_at_bot_at_top.comp hf).at_top_mul hC hg)
/-- In a linearly ordered field with the order topology, if `f` tends to `at_bot` and `g` tends to
a negative constant `C` then `f * g` tends to `at_top`. -/
lemma filter.tendsto.at_bot_mul_neg {C : α} (hC : C < 0) (hf : tendsto f l at_bot)
(hg : tendsto g l (𝓝 C)) :
tendsto (λ x, (f x * g x)) l at_top :=
by simpa [(∘)]
using tendsto_neg_at_bot_at_top.comp ((tendsto_neg_at_bot_at_top.comp hf).at_top_mul_neg hC hg)
/-- In a linearly ordered field with the order topology, if `f` tends to a positive constant `C` and
`g` tends to `at_bot` then `f * g` tends to `at_bot`. -/
lemma filter.tendsto.mul_at_bot {C : α} (hC : 0 < C) (hf : tendsto f l (𝓝 C))
(hg : tendsto g l at_bot) :
tendsto (λ x, (f x * g x)) l at_bot :=
by simpa only [mul_comm] using hg.at_bot_mul hC hf
/-- In a linearly ordered field with the order topology, if `f` tends to a negative constant `C` and
`g` tends to `at_bot` then `f * g` tends to `at_top`. -/
lemma filter.tendsto.neg_mul_at_bot {C : α} (hC : C < 0) (hf : tendsto f l (𝓝 C))
(hg : tendsto g l at_bot) :
tendsto (λ x, (f x * g x)) l at_top :=
by simpa only [mul_comm] using hg.at_bot_mul_neg hC hf
/-- The function `x ↦ x⁻¹` tends to `+∞` on the right of `0`. -/
lemma tendsto_inv_zero_at_top : tendsto (λx:α, x⁻¹) (𝓝[>] (0:α)) at_top :=
begin
refine (at_top_basis' 1).tendsto_right_iff.2 (λ b hb, _),
have hb' : 0 < b := by positivity,
filter_upwards [Ioc_mem_nhds_within_Ioi ⟨le_rfl, inv_pos.2 hb'⟩]
with x hx using (le_inv hx.1 hb').1 hx.2,
end
/-- The function `r ↦ r⁻¹` tends to `0` on the right as `r → +∞`. -/
lemma tendsto_inv_at_top_zero' : tendsto (λr:α, r⁻¹) at_top (𝓝[>] (0:α)) :=
begin
refine (has_basis.tendsto_iff at_top_basis ⟨λ s, mem_nhds_within_Ioi_iff_exists_Ioc_subset⟩).2 _,
refine λ b hb, ⟨b⁻¹, trivial, λ x hx, _⟩,
have : 0 < x := lt_of_lt_of_le (inv_pos.2 hb) hx,
exact ⟨inv_pos.2 this, (inv_le this hb).2 hx⟩
end
lemma tendsto_inv_at_top_zero : tendsto (λr:α, r⁻¹) at_top (𝓝 0) :=
tendsto_inv_at_top_zero'.mono_right inf_le_left
lemma filter.tendsto.div_at_top [has_continuous_mul α] {f g : β → α} {l : filter β} {a : α}
(h : tendsto f l (𝓝 a)) (hg : tendsto g l at_top) : tendsto (λ x, f x / g x) l (𝓝 0) :=
by { simp only [div_eq_mul_inv], exact mul_zero a ▸ h.mul (tendsto_inv_at_top_zero.comp hg) }
lemma filter.tendsto.inv_tendsto_at_top (h : tendsto f l at_top) : tendsto (f⁻¹) l (𝓝 0) :=
tendsto_inv_at_top_zero.comp h
lemma filter.tendsto.inv_tendsto_zero (h : tendsto f l (𝓝[>] 0)) :
tendsto (f⁻¹) l at_top :=
tendsto_inv_zero_at_top.comp h
/-- The function `x^(-n)` tends to `0` at `+∞` for any positive natural `n`.
A version for positive real powers exists as `tendsto_rpow_neg_at_top`. -/
lemma tendsto_pow_neg_at_top {n : ℕ} (hn : n ≠ 0) : tendsto (λ x : α, x ^ (-(n:ℤ))) at_top (𝓝 0) :=
by simpa only [zpow_neg, zpow_coe_nat] using (@tendsto_pow_at_top α _ _ hn).inv_tendsto_at_top
lemma tendsto_zpow_at_top_zero {n : ℤ} (hn : n < 0) :
tendsto (λ x : α, x^n) at_top (𝓝 0) :=
begin
lift -n to ℕ using le_of_lt (neg_pos.mpr hn) with N,
rw [← neg_pos, ← h, nat.cast_pos] at hn,
simpa only [h, neg_neg] using tendsto_pow_neg_at_top hn.ne'
end
lemma tendsto_const_mul_zpow_at_top_zero {n : ℤ} {c : α} (hn : n < 0) :
tendsto (λ x, c * x ^ n) at_top (𝓝 0) :=
(mul_zero c) ▸ (filter.tendsto.const_mul c (tendsto_zpow_at_top_zero hn))
lemma tendsto_const_mul_pow_nhds_iff' {n : ℕ} {c d : α} :
tendsto (λ x : α, c * x ^ n) at_top (𝓝 d) ↔ (c = 0 ∨ n = 0) ∧ c = d :=
begin
rcases eq_or_ne n 0 with (rfl|hn),
{ simp [tendsto_const_nhds_iff] },
rcases lt_trichotomy c 0 with hc|rfl|hc,
{ have := tendsto_const_mul_pow_at_bot_iff.2 ⟨hn, hc⟩,
simp [not_tendsto_nhds_of_tendsto_at_bot this, hc.ne, hn] },
{ simp [tendsto_const_nhds_iff] },
{ have := tendsto_const_mul_pow_at_top_iff.2 ⟨hn, hc⟩,
simp [not_tendsto_nhds_of_tendsto_at_top this, hc.ne', hn] }
end
lemma tendsto_const_mul_pow_nhds_iff {n : ℕ} {c d : α} (hc : c ≠ 0) :
tendsto (λ x : α, c * x ^ n) at_top (𝓝 d) ↔ n = 0 ∧ c = d :=
by simp [tendsto_const_mul_pow_nhds_iff', hc]
lemma tendsto_const_mul_zpow_at_top_nhds_iff {n : ℤ} {c d : α} (hc : c ≠ 0) :
tendsto (λ x : α, c * x ^ n) at_top (𝓝 d) ↔ (n = 0 ∧ c = d) ∨ (n < 0 ∧ d = 0) :=
begin
refine ⟨λ h, _, λ h, _⟩,
{ by_cases hn : 0 ≤ n,
{ lift n to ℕ using hn,
simp only [zpow_coe_nat] at h,
rw [tendsto_const_mul_pow_nhds_iff hc, ← int.coe_nat_eq_zero] at h,
exact or.inl h },
{ rw not_le at hn,
refine or.inr ⟨hn, tendsto_nhds_unique h (tendsto_const_mul_zpow_at_top_zero hn)⟩ } },
{ cases h,
{ simp only [h.left, h.right, zpow_zero, mul_one],
exact tendsto_const_nhds },
{ exact h.2.symm ▸ tendsto_const_mul_zpow_at_top_zero h.1} }
end
-- TODO: With a different proof, this could be possibly generalised to only require a
-- `linear_ordered_semifield` instance, which would also remove the need for the
-- `nnreal` instance of `has_continuous_inv₀`.
@[priority 100] -- see Note [lower instance priority]
instance linear_ordered_field.to_topological_division_ring : topological_division_ring α :=
{ continuous_at_inv₀ :=
begin
suffices : ∀ {x : α}, 0 < x → continuous_at has_inv.inv x,
{ intros x hx,
cases hx.symm.lt_or_lt,
{ exact this h },
convert (this $ neg_pos.mpr h).neg.comp continuous_neg.continuous_at,
ext,
simp [neg_inv] },
intros t ht,
rw [continuous_at,
(nhds_basis_Ioo_pos t).tendsto_iff $ nhds_basis_Ioo_pos_of_pos $ inv_pos.2 ht],
rintros ε ⟨hε : ε > 0, hεt : ε ≤ t⁻¹⟩,
refine ⟨min (t ^ 2 * ε / 2) (t / 2), by positivity, λ x h, _⟩,
have hx : t / 2 < x,
{ rw [set.mem_Ioo, sub_lt_comm, lt_min_iff] at h,
nlinarith },
have hx' : 0 < x := (half_pos ht).trans hx,
have aux : 0 < 2 / t ^ 2 := by positivity,
rw [set.mem_Ioo, ←sub_lt_iff_lt_add', sub_lt_comm, ←abs_sub_lt_iff] at h ⊢,
rw [inv_sub_inv ht.ne' hx'.ne', abs_div, div_eq_mul_inv],
suffices : |t * x|⁻¹ < 2 / t ^ 2,
{ rw [←abs_neg, neg_sub],
refine (mul_lt_mul'' h this (by positivity) (by positivity)).trans_le _,
rw [mul_comm, mul_min_of_nonneg _ _ aux.le],
apply min_le_of_left_le,
rw [←mul_div, ←mul_assoc, div_mul_cancel _ (sq_pos_of_pos ht).ne',
mul_div_cancel' ε two_ne_zero] },
refine inv_lt_of_inv_lt aux _,
rw [inv_div, abs_of_pos $ mul_pos ht hx', sq, ←mul_div_assoc'],
exact mul_lt_mul_of_pos_left hx ht
end }
lemma nhds_within_pos_comap_mul_left {x : α} (hx : 0 < x) :
comap (λ ε, x * ε) (𝓝[>] 0) = 𝓝[>] 0 :=
begin
suffices : ∀ {x : α} (hx : 0 < x), 𝓝[>] 0 ≤ comap (λ ε, x * ε) (𝓝[>] 0),
{ refine le_antisymm _ (this hx),
have hr : 𝓝[>] (0 : α) = ((𝓝[>] (0 : α)).comap (λ ε, x⁻¹ * ε)).comap (λ ε, x * ε),
{ simp [comap_comap, inv_mul_cancel hx.ne.symm, comap_id, one_mul_eq_id], },
conv_rhs { rw hr, },
rw comap_le_comap_iff (by convert univ_mem; exact (mul_left_surjective₀ hx.ne.symm).range_eq),
exact this (inv_pos.mpr hx), },
intros x hx,
convert nhds_within_le_comap (continuous_mul_left x).continuous_within_at,
{ exact (mul_zero _).symm, },
{ rw image_const_mul_Ioi_zero hx, },
end
lemma eventually_nhds_within_pos_mul_left {x : α} (hx : 0 < x)
{p : α → Prop} (h : ∀ᶠ ε in 𝓝[>] 0, p ε) : ∀ᶠ ε in 𝓝[>] 0, p (x * ε) :=
begin
convert h.comap (λ ε, x * ε),
exact (nhds_within_pos_comap_mul_left hx).symm,
end
|
110ec393a9bc2dd7eb32ac31c4fec8a95ede5c39 | 6094e25ea0b7699e642463b48e51b2ead6ddc23f | /library/data/nat/div.lean | 200347eb07cd616e8b5722c78ad196cda9311170 | [
"Apache-2.0"
] | permissive | gbaz/lean | a7835c4e3006fbbb079e8f8ffe18aacc45adebfb | a501c308be3acaa50a2c0610ce2e0d71becf8032 | refs/heads/master | 1,611,198,791,433 | 1,451,339,111,000 | 1,451,339,111,000 | 48,713,797 | 0 | 0 | null | 1,451,338,939,000 | 1,451,338,939,000 | null | UTF-8 | Lean | false | false | 26,193 | lean | /-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura
Definitions and properties of div and mod. Much of the development follows Isabelle's library.
-/
import data.nat.sub
open eq.ops well_founded decidable prod
namespace nat
/- div -/
-- auxiliary lemma used to justify div
private definition div_rec_lemma {x y : nat} : 0 < y ∧ y ≤ x → x - y < x :=
and.rec (λ ypos ylex, sub_lt (lt_of_lt_of_le ypos ylex) ypos)
private definition div.F (x : nat) (f : Π x₁, x₁ < x → nat → nat) (y : nat) : nat :=
if H : 0 < y ∧ y ≤ x then f (x - y) (div_rec_lemma H) y + 1 else zero
protected definition div := fix div.F
definition nat_has_divide [reducible] [instance] [priority nat.prio] : has_div nat :=
has_div.mk nat.div
theorem div_def (x y : nat) : div x y = if 0 < y ∧ y ≤ x then div (x - y) y + 1 else 0 :=
congr_fun (fix_eq div.F x) y
protected theorem div_zero (a : ℕ) : a / 0 = 0 :=
div_def a 0 ⬝ if_neg (!not_and_of_not_left (lt.irrefl 0))
theorem div_eq_zero_of_lt {a b : ℕ} (h : a < b) : a / b = 0 :=
div_def a b ⬝ if_neg (!not_and_of_not_right (not_le_of_gt h))
protected theorem zero_div (b : ℕ) : 0 / b = 0 :=
div_def 0 b ⬝ if_neg (and.rec not_le_of_gt)
theorem div_eq_succ_sub_div {a b : ℕ} (h₁ : b > 0) (h₂ : a ≥ b) : a / b = succ ((a - b) / b) :=
div_def a b ⬝ if_pos (and.intro h₁ h₂)
theorem add_div_self (x : ℕ) {z : ℕ} (H : z > 0) : (x + z) / z = succ (x / z) :=
calc
(x + z) / z = if 0 < z ∧ z ≤ x + z then (x + z - z) / z + 1 else 0 : !div_def
... = (x + z - z) / z + 1 : if_pos (and.intro H (le_add_left z x))
... = succ (x / z) : {!nat.add_sub_cancel}
theorem add_div_self_left {x : ℕ} (z : ℕ) (H : x > 0) : (x + z) / x = succ (z / x) :=
!add.comm ▸ !add_div_self H
theorem add_mul_div_self {x y z : ℕ} (H : z > 0) : (x + y * z) / z = x / z + y :=
nat.induction_on y
(calc (x + 0 * z) / z = (x + 0) / z : zero_mul
... = x / z : add_zero
... = x / z + 0 : add_zero)
(take y,
assume IH : (x + y * z) / z = x / z + y, calc
(x + succ y * z) / z = (x + (y * z + z)) / z : succ_mul
... = (x + y * z + z) / z : add.assoc
... = succ ((x + y * z) / z) : !add_div_self H
... = succ (x / z + y) : IH)
theorem add_mul_div_self_left (x z : ℕ) {y : ℕ} (H : y > 0) : (x + y * z) / y = x / y + z :=
!mul.comm ▸ add_mul_div_self H
protected theorem mul_div_cancel (m : ℕ) {n : ℕ} (H : n > 0) : m * n / n = m :=
calc
m * n / n = (0 + m * n) / n : zero_add
... = 0 / n + m : add_mul_div_self H
... = 0 + m : nat.zero_div
... = m : zero_add
protected theorem mul_div_cancel_left {m : ℕ} (n : ℕ) (H : m > 0) : m * n / m = n :=
!mul.comm ▸ !nat.mul_div_cancel H
/- mod -/
private definition mod.F (x : nat) (f : Π x₁, x₁ < x → nat → nat) (y : nat) : nat :=
if H : 0 < y ∧ y ≤ x then f (x - y) (div_rec_lemma H) y else x
protected definition mod := fix mod.F
definition nat_has_mod [reducible] [instance] [priority nat.prio] : has_mod nat :=
has_mod.mk nat.mod
notation [priority nat.prio] a ≡ b `[mod `:0 c:0 `]` := a % c = b % c
theorem mod_def (x y : nat) : mod x y = if 0 < y ∧ y ≤ x then mod (x - y) y else x :=
congr_fun (fix_eq mod.F x) y
theorem mod_zero (a : ℕ) : a % 0 = a :=
mod_def a 0 ⬝ if_neg (!not_and_of_not_left (lt.irrefl 0))
theorem mod_eq_of_lt {a b : ℕ} (h : a < b) : a % b = a :=
mod_def a b ⬝ if_neg (!not_and_of_not_right (not_le_of_gt h))
theorem zero_mod (b : ℕ) : 0 % b = 0 :=
mod_def 0 b ⬝ if_neg (λ h, and.rec_on h (λ l r, absurd (lt_of_lt_of_le l r) (lt.irrefl 0)))
theorem mod_eq_sub_mod {a b : ℕ} (h₁ : b > 0) (h₂ : a ≥ b) : a % b = (a - b) % b :=
mod_def a b ⬝ if_pos (and.intro h₁ h₂)
theorem add_mod_self (x z : ℕ) : (x + z) % z = x % z :=
by_cases_zero_pos z
(by rewrite add_zero)
(take z, assume H : z > 0,
calc
(x + z) % z = if 0 < z ∧ z ≤ x + z then (x + z - z) % z else _ : mod_def
... = (x + z - z) % z : if_pos (and.intro H (le_add_left z x))
... = x % z : nat.add_sub_cancel)
theorem add_mod_self_left (x z : ℕ) : (x + z) % x = z % x :=
!add.comm ▸ !add_mod_self
theorem add_mul_mod_self (x y z : ℕ) : (x + y * z) % z = x % z :=
nat.induction_on y
(calc (x + 0 * z) % z = (x + 0) % z : zero_mul
... = x % z : add_zero)
(take y,
assume IH : (x + y * z) % z = x % z,
calc
(x + succ y * z) % z = (x + (y * z + z)) % z : succ_mul
... = (x + y * z + z) % z : add.assoc
... = (x + y * z) % z : !add_mod_self
... = x % z : IH)
theorem add_mul_mod_self_left (x y z : ℕ) : (x + y * z) % y = x % y :=
!mul.comm ▸ !add_mul_mod_self
theorem mul_mod_left (m n : ℕ) : (m * n) % n = 0 :=
by rewrite [-zero_add (m * n), add_mul_mod_self, zero_mod]
theorem mul_mod_right (m n : ℕ) : (m * n) % m = 0 :=
!mul.comm ▸ !mul_mod_left
theorem mod_lt (x : ℕ) {y : ℕ} (H : y > 0) : x % y < y :=
nat.case_strong_induction_on x
(show 0 % y < y, from !zero_mod⁻¹ ▸ H)
(take x,
assume IH : ∀x', x' ≤ x → x' % y < y,
show succ x % y < y, from
by_cases -- (succ x < y)
(assume H1 : succ x < y,
have succ x % y = succ x, from mod_eq_of_lt H1,
show succ x % y < y, from this⁻¹ ▸ H1)
(assume H1 : ¬ succ x < y,
have y ≤ succ x, from le_of_not_gt H1,
have h : succ x % y = (succ x - y) % y, from mod_eq_sub_mod H this,
have succ x - y < succ x, from sub_lt !succ_pos H,
have succ x - y ≤ x, from le_of_lt_succ this,
show succ x % y < y, from h⁻¹ ▸ IH _ this))
theorem mod_one (n : ℕ) : n % 1 = 0 :=
have H1 : n % 1 < 1, from !mod_lt !succ_pos,
eq_zero_of_le_zero (le_of_lt_succ H1)
/- properties of div and mod -/
-- the quotient - remainder theorem
theorem eq_div_mul_add_mod (x y : ℕ) : x = x / y * y + x % y :=
begin
eapply by_cases_zero_pos y,
show x = x / 0 * 0 + x % 0, from
(calc
x / 0 * 0 + x % 0 = 0 + x % 0 : mul_zero
... = x % 0 : zero_add
... = x : mod_zero)⁻¹,
intro y H,
show x = x / y * y + x % y,
begin
eapply nat.case_strong_induction_on x,
show 0 = (0 / y) * y + 0 % y, by rewrite [zero_mod, add_zero, nat.zero_div, zero_mul],
intro x IH,
show succ x = succ x / y * y + succ x % y, from
if H1 : succ x < y then
assert H2 : succ x / y = 0, from div_eq_zero_of_lt H1,
assert H3 : succ x % y = succ x, from mod_eq_of_lt H1,
begin rewrite [H2, H3, zero_mul, zero_add] end
else
have H2 : y ≤ succ x, from le_of_not_gt H1,
assert H3 : succ x / y = succ ((succ x - y) / y), from div_eq_succ_sub_div H H2,
assert H4 : succ x % y = (succ x - y) % y, from mod_eq_sub_mod H H2,
have H5 : succ x - y < succ x, from sub_lt !succ_pos H,
assert H6 : succ x - y ≤ x, from le_of_lt_succ H5,
(calc
succ x / y * y + succ x % y =
succ ((succ x - y) / y) * y + succ x % y : by rewrite H3
... = ((succ x - y) / y) * y + y + succ x % y : by rewrite succ_mul
... = ((succ x - y) / y) * y + y + (succ x - y) % y : by rewrite H4
... = ((succ x - y) / y) * y + (succ x - y) % y + y : add.right_comm
... = succ x - y + y : by rewrite -(IH _ H6)
... = succ x : nat.sub_add_cancel H2)⁻¹
end
end
theorem mod_eq_sub_div_mul (x y : ℕ) : x % y = x - x / y * y :=
nat.eq_sub_of_add_eq (!add.comm ▸ !eq_div_mul_add_mod)⁻¹
theorem mod_add_mod (m n k : ℕ) : (m % n + k) % n = (m + k) % n :=
by rewrite [eq_div_mul_add_mod m n at {2}, add.assoc, add.comm (m / n * n), add_mul_mod_self]
theorem add_mod_mod (m n k : ℕ) : (m + n % k) % k = (m + n) % k :=
by rewrite [add.comm, mod_add_mod, add.comm]
theorem add_mod_eq_add_mod_right {m n k : ℕ} (i : ℕ) (H : m % n = k % n) :
(m + i) % n = (k + i) % n :=
by rewrite [-mod_add_mod, -mod_add_mod k, H]
theorem add_mod_eq_add_mod_left {m n k : ℕ} (i : ℕ) (H : m % n = k % n) :
(i + m) % n = (i + k) % n :=
by rewrite [add.comm, add_mod_eq_add_mod_right _ H, add.comm]
theorem mod_eq_mod_of_add_mod_eq_add_mod_right {m n k i : ℕ} :
(m + i) % n = (k + i) % n → m % n = k % n :=
by_cases_zero_pos n
(by rewrite [*mod_zero]; apply eq_of_add_eq_add_right)
(take n,
assume npos : n > 0,
assume H1 : (m + i) % n = (k + i) % n,
have H2 : (m + i % n) % n = (k + i % n) % n, by rewrite [*add_mod_mod, H1],
assert H3 : (m + i % n + (n - i % n)) % n = (k + i % n + (n - i % n)) % n,
from add_mod_eq_add_mod_right _ H2,
begin
revert H3,
rewrite [*add.assoc, add_sub_of_le (le_of_lt (!mod_lt npos)), *add_mod_self],
intros, assumption
end)
theorem mod_eq_mod_of_add_mod_eq_add_mod_left {m n k i : ℕ} :
(i + m) % n = (i + k) % n → m % n = k % n :=
by rewrite [add.comm i m, add.comm i k]; apply mod_eq_mod_of_add_mod_eq_add_mod_right
theorem mod_le {x y : ℕ} : x % y ≤ x :=
!eq_div_mul_add_mod⁻¹ ▸ !le_add_left
theorem eq_remainder {q1 r1 q2 r2 y : ℕ} (H1 : r1 < y) (H2 : r2 < y)
(H3 : q1 * y + r1 = q2 * y + r2) : r1 = r2 :=
calc
r1 = r1 % y : mod_eq_of_lt H1
... = (r1 + q1 * y) % y : !add_mul_mod_self⁻¹
... = (q1 * y + r1) % y : add.comm
... = (r2 + q2 * y) % y : by rewrite [H3, add.comm]
... = r2 % y : !add_mul_mod_self
... = r2 : mod_eq_of_lt H2
theorem eq_quotient {q1 r1 q2 r2 y : ℕ} (H1 : r1 < y) (H2 : r2 < y)
(H3 : q1 * y + r1 = q2 * y + r2) : q1 = q2 :=
have H4 : q1 * y + r2 = q2 * y + r2, from (eq_remainder H1 H2 H3) ▸ H3,
have H5 : q1 * y = q2 * y, from add.right_cancel H4,
have H6 : y > 0, from lt_of_le_of_lt !zero_le H1,
show q1 = q2, from eq_of_mul_eq_mul_right H6 H5
protected theorem mul_div_mul_left {z : ℕ} (x y : ℕ) (zpos : z > 0) :
(z * x) / (z * y) = x / y :=
if H : y = 0 then
by rewrite [H, mul_zero, *nat.div_zero]
else
have ypos : y > 0, from pos_of_ne_zero H,
have zypos : z * y > 0, from mul_pos zpos ypos,
have H1 : (z * x) % (z * y) < z * y, from !mod_lt zypos,
have H2 : z * (x % y) < z * y, from mul_lt_mul_of_pos_left (!mod_lt ypos) zpos,
eq_quotient H1 H2
(calc
((z * x) / (z * y)) * (z * y) + (z * x) % (z * y) = z * x : eq_div_mul_add_mod
... = z * (x / y * y + x % y) : eq_div_mul_add_mod
... = z * (x / y * y) + z * (x % y) : left_distrib
... = (x / y) * (z * y) + z * (x % y) : mul.left_comm)
protected theorem mul_div_mul_right {x z y : ℕ} (zpos : z > 0) : (x * z) / (y * z) = x / y :=
!mul.comm ▸ !mul.comm ▸ !nat.mul_div_mul_left zpos
theorem mul_mod_mul_left (z x y : ℕ) : (z * x) % (z * y) = z * (x % y) :=
or.elim (eq_zero_or_pos z)
(assume H : z = 0, H⁻¹ ▸ calc
(0 * x) % (z * y) = 0 % (z * y) : zero_mul
... = 0 : zero_mod
... = 0 * (x % y) : zero_mul)
(assume zpos : z > 0,
or.elim (eq_zero_or_pos y)
(assume H : y = 0, by rewrite [H, mul_zero, *mod_zero])
(assume ypos : y > 0,
have zypos : z * y > 0, from mul_pos zpos ypos,
have H1 : (z * x) % (z * y) < z * y, from !mod_lt zypos,
have H2 : z * (x % y) < z * y, from mul_lt_mul_of_pos_left (!mod_lt ypos) zpos,
eq_remainder H1 H2
(calc
((z * x) / (z * y)) * (z * y) + (z * x) % (z * y) = z * x : eq_div_mul_add_mod
... = z * (x / y * y + x % y) : eq_div_mul_add_mod
... = z * (x / y * y) + z * (x % y) : left_distrib
... = (x / y) * (z * y) + z * (x % y) : mul.left_comm)))
theorem mul_mod_mul_right (x z y : ℕ) : (x * z) % (y * z) = (x % y) * z :=
mul.comm z x ▸ mul.comm z y ▸ !mul.comm ▸ !mul_mod_mul_left
theorem mod_self (n : ℕ) : n % n = 0 :=
nat.cases_on n (by rewrite zero_mod)
(take n, by rewrite [-zero_add (succ n) at {1}, add_mod_self])
theorem mul_mod_eq_mod_mul_mod (m n k : nat) : (m * n) % k = ((m % k) * n) % k :=
calc
(m * n) % k = (((m / k) * k + m % k) * n) % k : eq_div_mul_add_mod
... = ((m % k) * n) % k :
by rewrite [right_distrib, mul.right_comm, add.comm, add_mul_mod_self]
theorem mul_mod_eq_mul_mod_mod (m n k : nat) : (m * n) % k = (m * (n % k)) % k :=
!mul.comm ▸ !mul.comm ▸ !mul_mod_eq_mod_mul_mod
protected theorem div_one (n : ℕ) : n / 1 = n :=
assert n / 1 * 1 + n % 1 = n, from !eq_div_mul_add_mod⁻¹,
begin rewrite [-this at {2}, mul_one, mod_one] end
protected theorem div_self {n : ℕ} (H : n > 0) : n / n = 1 :=
assert (n * 1) / (n * 1) = 1 / 1, from !nat.mul_div_mul_left H,
by rewrite [nat.div_one at this, -this, *mul_one]
theorem div_mul_cancel_of_mod_eq_zero {m n : ℕ} (H : m % n = 0) : m / n * n = m :=
by rewrite [eq_div_mul_add_mod m n at {2}, H, add_zero]
theorem mul_div_cancel_of_mod_eq_zero {m n : ℕ} (H : m % n = 0) : n * (m / n) = m :=
!mul.comm ▸ div_mul_cancel_of_mod_eq_zero H
/- dvd -/
theorem dvd_of_mod_eq_zero {m n : ℕ} (H : n % m = 0) : m ∣ n :=
dvd.intro (!mul.comm ▸ div_mul_cancel_of_mod_eq_zero H)
theorem mod_eq_zero_of_dvd {m n : ℕ} (H : m ∣ n) : n % m = 0 :=
dvd.elim H (take z, assume H1 : n = m * z, H1⁻¹ ▸ !mul_mod_right)
theorem dvd_iff_mod_eq_zero (m n : ℕ) : m ∣ n ↔ n % m = 0 :=
iff.intro mod_eq_zero_of_dvd dvd_of_mod_eq_zero
definition dvd.decidable_rel [instance] : decidable_rel dvd :=
take m n, decidable_of_decidable_of_iff _ (iff.symm !dvd_iff_mod_eq_zero)
protected theorem div_mul_cancel {m n : ℕ} (H : n ∣ m) : m / n * n = m :=
div_mul_cancel_of_mod_eq_zero (mod_eq_zero_of_dvd H)
protected theorem mul_div_cancel' {m n : ℕ} (H : n ∣ m) : n * (m / n) = m :=
!mul.comm ▸ nat.div_mul_cancel H
theorem dvd_of_dvd_add_left {m n₁ n₂ : ℕ} (H₁ : m ∣ n₁ + n₂) (H₂ : m ∣ n₁) : m ∣ n₂ :=
obtain (c₁ : nat) (Hc₁ : n₁ + n₂ = m * c₁), from H₁,
obtain (c₂ : nat) (Hc₂ : n₁ = m * c₂), from H₂,
have aux : m * (c₁ - c₂) = n₂, from calc
m * (c₁ - c₂) = m * c₁ - m * c₂ : nat.mul_sub_left_distrib
... = n₁ + n₂ - m * c₂ : Hc₁
... = n₁ + n₂ - n₁ : Hc₂
... = n₂ : nat.add_sub_cancel_left,
dvd.intro aux
theorem dvd_of_dvd_add_right {m n₁ n₂ : ℕ} (H : m ∣ n₁ + n₂) : m ∣ n₂ → m ∣ n₁ :=
nat.dvd_of_dvd_add_left (!add.comm ▸ H)
theorem dvd_sub {m n₁ n₂ : ℕ} (H1 : m ∣ n₁) (H2 : m ∣ n₂) : m ∣ n₁ - n₂ :=
by_cases
(assume H3 : n₁ ≥ n₂,
have H4 : n₁ = n₁ - n₂ + n₂, from (nat.sub_add_cancel H3)⁻¹,
show m ∣ n₁ - n₂, from nat.dvd_of_dvd_add_right (H4 ▸ H1) H2)
(assume H3 : ¬ (n₁ ≥ n₂),
have H4 : n₁ - n₂ = 0, from sub_eq_zero_of_le (le_of_lt (lt_of_not_ge H3)),
show m ∣ n₁ - n₂, from H4⁻¹ ▸ dvd_zero _)
theorem dvd.antisymm {m n : ℕ} : m ∣ n → n ∣ m → m = n :=
by_cases_zero_pos n
(assume H1, assume H2 : 0 ∣ m, eq_zero_of_zero_dvd H2)
(take n,
assume Hpos : n > 0,
assume H1 : m ∣ n,
assume H2 : n ∣ m,
obtain k (Hk : n = m * k), from exists_eq_mul_right_of_dvd H1,
obtain l (Hl : m = n * l), from exists_eq_mul_right_of_dvd H2,
have n * (l * k) = n, from !mul.assoc ▸ Hl ▸ Hk⁻¹,
have l * k = 1, from eq_one_of_mul_eq_self_right Hpos this,
have k = 1, from eq_one_of_mul_eq_one_left this,
show m = n, from (mul_one m)⁻¹ ⬝ (this ▸ Hk⁻¹))
protected theorem mul_div_assoc (m : ℕ) {n k : ℕ} (H : k ∣ n) : m * n / k = m * (n / k) :=
or.elim (eq_zero_or_pos k)
(assume H1 : k = 0,
calc
m * n / k = m * n / 0 : H1
... = 0 : nat.div_zero
... = m * 0 : mul_zero m
... = m * (n / 0) : nat.div_zero
... = m * (n / k) : H1)
(assume H1 : k > 0,
have H2 : n = n / k * k, from (nat.div_mul_cancel H)⁻¹,
calc
m * n / k = m * (n / k * k) / k : H2
... = m * (n / k) * k / k : mul.assoc
... = m * (n / k) : nat.mul_div_cancel _ H1)
theorem dvd_of_mul_dvd_mul_left {m n k : ℕ} (kpos : k > 0) (H : k * m ∣ k * n) : m ∣ n :=
dvd.elim H
(take l,
assume H1 : k * n = k * m * l,
have H2 : n = m * l, from eq_of_mul_eq_mul_left kpos (H1 ⬝ !mul.assoc),
dvd.intro H2⁻¹)
theorem dvd_of_mul_dvd_mul_right {m n k : ℕ} (kpos : k > 0) (H : m * k ∣ n * k) : m ∣ n :=
nat.dvd_of_mul_dvd_mul_left kpos (!mul.comm ▸ !mul.comm ▸ H)
lemma dvd_of_eq_mul (i j n : nat) : n = j*i → j ∣ n :=
begin intros, subst n, apply dvd_mul_right end
theorem div_dvd_div {k m n : ℕ} (H1 : k ∣ m) (H2 : m ∣ n) : m / k ∣ n / k :=
have H3 : m = m / k * k, from (nat.div_mul_cancel H1)⁻¹,
have H4 : n = n / k * k, from (nat.div_mul_cancel (dvd.trans H1 H2))⁻¹,
or.elim (eq_zero_or_pos k)
(assume H5 : k = 0,
have H6: n / k = 0, from (congr_arg _ H5 ⬝ !nat.div_zero),
H6⁻¹ ▸ !dvd_zero)
(assume H5 : k > 0,
nat.dvd_of_mul_dvd_mul_right H5 (H3 ▸ H4 ▸ H2))
protected theorem div_eq_iff_eq_mul_right {m n : ℕ} (k : ℕ) (H : n > 0) (H' : n ∣ m) :
m / n = k ↔ m = n * k :=
iff.intro
(assume H1, by rewrite [-H1, nat.mul_div_cancel' H'])
(assume H1, by rewrite [H1, !nat.mul_div_cancel_left H])
protected theorem div_eq_iff_eq_mul_left {m n : ℕ} (k : ℕ) (H : n > 0) (H' : n ∣ m) :
m / n = k ↔ m = k * n :=
!mul.comm ▸ !nat.div_eq_iff_eq_mul_right H H'
protected theorem eq_mul_of_div_eq_right {m n k : ℕ} (H1 : n ∣ m) (H2 : m / n = k) :
m = n * k :=
calc
m = n * (m / n) : nat.mul_div_cancel' H1
... = n * k : H2
protected theorem div_eq_of_eq_mul_right {m n k : ℕ} (H1 : n > 0) (H2 : m = n * k) :
m / n = k :=
calc
m / n = n * k / n : H2
... = k : !nat.mul_div_cancel_left H1
protected theorem eq_mul_of_div_eq_left {m n k : ℕ} (H1 : n ∣ m) (H2 : m / n = k) :
m = k * n :=
!mul.comm ▸ !nat.eq_mul_of_div_eq_right H1 H2
protected theorem div_eq_of_eq_mul_left {m n k : ℕ} (H1 : n > 0) (H2 : m = k * n) :
m / n = k :=
!nat.div_eq_of_eq_mul_right H1 (!mul.comm ▸ H2)
lemma add_mod_eq_of_dvd (i j n : nat) : n ∣ j → (i + j) % n = i % n :=
assume h,
obtain k (hk : j = n * k), from exists_eq_mul_right_of_dvd h,
begin
subst j, rewrite mul.comm,
apply add_mul_mod_self
end
/- / and ordering -/
lemma le_of_dvd {m n : nat} : n > 0 → m ∣ n → m ≤ n :=
assume (h₁ : n > 0) (h₂ : m ∣ n),
assert h₃ : n % m = 0, from mod_eq_zero_of_dvd h₂,
by_contradiction
(λ nle : ¬ m ≤ n,
have h₄ : m > n, from lt_of_not_ge nle,
assert h₅ : n % m = n, from mod_eq_of_lt h₄,
begin
rewrite h₃ at h₅, subst n,
exact absurd h₁ (lt.irrefl 0)
end)
theorem div_mul_le (m n : ℕ) : m / n * n ≤ m :=
calc
m = m / n * n + m % n : eq_div_mul_add_mod
... ≥ m / n * n : le_add_right
protected theorem div_le_of_le_mul {m n k : ℕ} (H : m ≤ n * k) : m / k ≤ n :=
or.elim (eq_zero_or_pos k)
(assume H1 : k = 0,
calc
m / k = m / 0 : H1
... = 0 : nat.div_zero
... ≤ n : zero_le)
(assume H1 : k > 0,
le_of_mul_le_mul_right (calc
m / k * k ≤ m / k * k + m % k : le_add_right
... = m : eq_div_mul_add_mod
... ≤ n * k : H) H1)
protected theorem div_le_self (m n : ℕ) : m / n ≤ m :=
nat.cases_on n (!nat.div_zero⁻¹ ▸ !zero_le)
take n,
have H : m ≤ m * succ n, from calc
m = m * 1 : mul_one
... ≤ m * succ n : !mul_le_mul_left (succ_le_succ !zero_le),
nat.div_le_of_le_mul H
protected theorem mul_le_of_le_div {m n k : ℕ} (H : m ≤ n / k) : m * k ≤ n :=
calc
m * k ≤ n / k * k : !mul_le_mul_right H
... ≤ n : div_mul_le
protected theorem le_div_of_mul_le {m n k : ℕ} (H1 : k > 0) (H2 : m * k ≤ n) : m ≤ n / k :=
have H3 : m * k < (succ (n / k)) * k, from
calc
m * k ≤ n : H2
... = n / k * k + n % k : eq_div_mul_add_mod
... < n / k * k + k : add_lt_add_left (!mod_lt H1)
... = (succ (n / k)) * k : succ_mul,
le_of_lt_succ (lt_of_mul_lt_mul_right H3)
protected theorem le_div_iff_mul_le {m n k : ℕ} (H : k > 0) : m ≤ n / k ↔ m * k ≤ n :=
iff.intro !nat.mul_le_of_le_div (!nat.le_div_of_mul_le H)
protected theorem div_le_div {m n : ℕ} (k : ℕ) (H : m ≤ n) : m / k ≤ n / k :=
by_cases_zero_pos k
(by rewrite [*nat.div_zero])
(take k, assume H1 : k > 0, nat.le_div_of_mul_le H1 (le.trans !div_mul_le H))
protected theorem div_lt_of_lt_mul {m n k : ℕ} (H : m < n * k) : m / k < n :=
lt_of_mul_lt_mul_right (calc
m / k * k ≤ m / k * k + m % k : le_add_right
... = m : eq_div_mul_add_mod
... < n * k : H)
protected theorem lt_mul_of_div_lt {m n k : ℕ} (H1 : k > 0) (H2 : m / k < n) : m < n * k :=
assert H3 : succ (m / k) * k ≤ n * k, from !mul_le_mul_right (succ_le_of_lt H2),
have H4 : m / k * k + k ≤ n * k, by rewrite [succ_mul at H3]; apply H3,
calc
m = m / k * k + m % k : eq_div_mul_add_mod
... < m / k * k + k : add_lt_add_left (!mod_lt H1)
... ≤ n * k : H4
protected theorem div_lt_iff_lt_mul {m n k : ℕ} (H : k > 0) : m / k < n ↔ m < n * k :=
iff.intro (!nat.lt_mul_of_div_lt H) !nat.div_lt_of_lt_mul
protected theorem div_le_iff_le_mul_of_div {m n : ℕ} (k : ℕ) (H : n > 0) (H' : n ∣ m) :
m / n ≤ k ↔ m ≤ k * n :=
by rewrite [propext (!le_iff_mul_le_mul_right H), !nat.div_mul_cancel H']
protected theorem le_mul_of_div_le_of_div {m n k : ℕ} (H1 : n > 0) (H2 : n ∣ m) (H3 : m / n ≤ k) :
m ≤ k * n :=
iff.mp (!nat.div_le_iff_le_mul_of_div H1 H2) H3
-- needed for integer division
theorem mul_sub_div_of_lt {m n k : ℕ} (H : k < m * n) :
(m * n - (k + 1)) / m = n - k / m - 1 :=
begin
have H1 : k / m < n, from nat.div_lt_of_lt_mul (!mul.comm ▸ H),
have H2 : n - k / m ≥ 1, from
nat.le_sub_of_add_le (calc
1 + k / m = succ (k / m) : add.comm
... ≤ n : succ_le_of_lt H1),
have H3 : n - k / m = n - k / m - 1 + 1, from (nat.sub_add_cancel H2)⁻¹,
have H4 : m > 0, from pos_of_ne_zero (assume H': m = 0, not_lt_zero k (begin rewrite [H' at H, zero_mul at H], exact H end)),
have H5 : k % m + 1 ≤ m, from succ_le_of_lt (!mod_lt H4),
have H6 : m - (k % m + 1) < m, from nat.sub_lt_self H4 !succ_pos,
calc
(m * n - (k + 1)) / m = (m * n - (k / m * m + k % m + 1)) / m : eq_div_mul_add_mod
... = (m * n - k / m * m - (k % m + 1)) / m : by rewrite [*nat.sub_sub]
... = ((n - k / m) * m - (k % m + 1)) / m :
by rewrite [mul.comm m, nat.mul_sub_right_distrib]
... = ((n - k / m - 1) * m + m - (k % m + 1)) / m :
by rewrite [H3 at {1}, right_distrib, nat.one_mul]
... = ((n - k / m - 1) * m + (m - (k % m + 1))) / m : {nat.add_sub_assoc H5 _}
... = (m - (k % m + 1)) / m + (n - k / m - 1) :
by rewrite [add.comm, (add_mul_div_self H4)]
... = n - k / m - 1 :
by rewrite [div_eq_zero_of_lt H6, zero_add]
end
private lemma div_div_aux (a b c : nat) : b > 0 → c > 0 → (a / b) / c = a / (b * c) :=
suppose b > 0, suppose c > 0,
nat.strong_induction_on a
(λ a ih,
let k₁ := a / (b*c) in
let k₂ := a %(b*c) in
assert bc_pos : b*c > 0, from mul_pos `b > 0` `c > 0`,
assert k₂ < b * c, from mod_lt _ bc_pos,
assert k₂ ≤ a, from !mod_le,
or.elim (eq_or_lt_of_le this)
(suppose k₂ = a,
assert i₁ : a < b * c, by rewrite -this; assumption,
assert k₁ = 0, from div_eq_zero_of_lt i₁,
assert a / b < c, by rewrite [mul.comm at i₁]; exact nat.div_lt_of_lt_mul i₁,
begin
rewrite [`k₁ = 0`],
show (a / b) / c = 0, from div_eq_zero_of_lt `a / b < c`
end)
(suppose k₂ < a,
assert a = k₁*(b*c) + k₂, from eq_div_mul_add_mod a (b*c),
assert a / b = k₁*c + k₂ / b, by
rewrite [this at {1}, mul.comm b c at {2}, -mul.assoc,
add.comm, add_mul_div_self `b > 0`, add.comm],
assert e₁ : (a / b) / c = k₁ + (k₂ / b) / c, by
rewrite [this, add.comm, add_mul_div_self `c > 0`, add.comm],
assert e₂ : (k₂ / b) / c = k₂ / (b * c), from ih k₂ `k₂ < a`,
assert e₃ : k₂ / (b * c) = 0, from div_eq_zero_of_lt `k₂ < b * c`,
assert (k₂ / b) / c = 0, by rewrite [e₂, e₃],
show (a / b) / c = k₁, by rewrite [e₁, this]))
protected lemma div_div_eq_div_mul (a b c : nat) : (a / b) / c = a / (b * c) :=
begin
cases b with b,
rewrite [zero_mul, *nat.div_zero, nat.zero_div],
cases c with c,
rewrite [mul_zero, *nat.div_zero],
apply div_div_aux a (succ b) (succ c) dec_trivial dec_trivial
end
lemma div_lt_of_ne_zero : ∀ {n : nat}, n ≠ 0 → n / 2 < n
| 0 h := absurd rfl h
| (succ n) h :=
begin
apply nat.div_lt_of_lt_mul,
rewrite [-add_one, right_distrib],
change n + 1 < (n * 1 + n) + (1 + 1),
rewrite [mul_one, -add.assoc],
apply add_lt_add_right,
show n < n + n + 1,
begin
rewrite [add.assoc, -add_zero n at {1}],
apply add_lt_add_left,
apply zero_lt_succ
end
end
end nat
|
17d039df9e00337532aa5de6c8b50f88b7fd0432 | 57c233acf9386e610d99ed20ef139c5f97504ba3 | /test/library_search/basic.lean | e5c7e29ae2d4dfde984d5b0cd810dc7f808986f2 | [
"Apache-2.0"
] | permissive | robertylewis/mathlib | 3d16e3e6daf5ddde182473e03a1b601d2810952c | 1d13f5b932f5e40a8308e3840f96fc882fae01f0 | refs/heads/master | 1,651,379,945,369 | 1,644,276,960,000 | 1,644,276,960,000 | 98,875,504 | 0 | 0 | Apache-2.0 | 1,644,253,514,000 | 1,501,495,700,000 | Lean | UTF-8 | Lean | false | false | 5,367 | lean | /-
Copyright (c) 2018 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import tactic.suggest -- No other imports, for fast testing
/- Turn off trace messages so they don't pollute the test build: -/
set_option trace.silence_library_search true
/- For debugging purposes, we can display the list of lemmas: -/
-- set_option trace.suggest true
namespace test.library_search
-- Check that `library_search` fails if there are no goals.
example : true :=
begin
trivial,
success_if_fail { library_search },
end
-- Verify that `library_search` solves goals via `solve_by_elim` when the library isn't
-- even needed.
example (P : Prop) (p : P) : P :=
by library_search
example (P : Prop) (p : P) (np : ¬P) : false :=
by library_search
example (X : Type) (P : Prop) (x : X) (h : Π x : X, x = x → P) : P :=
by library_search
example (α : Prop) : α → α :=
by library_search -- says: `exact id`
example (p : Prop) [decidable p] : (¬¬p) → p :=
by library_search -- says: `exact not_not.mp`
example (a b : Prop) (h : a ∧ b) : a :=
by library_search -- says: `exact h.left`
example (P Q : Prop) [decidable P] [decidable Q]: (¬ Q → ¬ P) → (P → Q) :=
by library_search -- says: `exact not_imp_not.mp`
example (a b : ℕ) : a + b = b + a :=
by library_search -- says: `exact add_comm a b`
example (n m k : ℕ) : n * (m - k) = n * m - n * k :=
by library_search -- says: `exact mul_tsub n m k`
example (n m k : ℕ) : n * m - n * k = n * (m - k) :=
by library_search -- says: `exact eq.symm (mul_tsub n m k)`
example {α : Type} (x y : α) : x = y ↔ y = x :=
by library_search -- says: `exact eq_comm`
example (a b : ℕ) (ha : 0 < a) (hb : 0 < b) : 0 < a + b :=
by library_search -- says: `exact add_pos ha hb`
section synonym
-- Synonym `>` for `<` in another part of the goal
example (a b : ℕ) (ha : a > 0) (hb : 0 < b) : 0 < a + b :=
by library_search -- says: `exact add_pos ha hb`
example (a b : ℕ) (h : a ∣ b) (w : b > 0) : a ≤ b :=
by library_search -- says: `exact nat.le_of_dvd w h`
example (a b : ℕ) (h : a ∣ b) (w : b > 0) : b ≥ a :=
by library_search -- says: `exact nat.le_of_dvd w h`
-- A lemma with head symbol `¬` can be used to prove `¬ p` or `⊥`
example (a : ℕ) : ¬ (a < 0) := by library_search -- says `exact not_lt_bot`
example (a : ℕ) (h : a < 0) : false := by library_search -- says `exact not_lt_bot h`
-- An inductive type hides the constructor's arguments enough
-- so that `library_search` doesn't accidentally close the goal.
inductive P : ℕ → Prop
| gt_in_head {n : ℕ} : n < 0 → P n
-- This lemma with `>` as its head symbol should also be found for goals with head symbol `<`.
lemma lemma_with_gt_in_head (a : ℕ) (h : P a) : 0 > a := by { cases h, assumption }
-- This lemma with `false` as its head symbols should also be found for goals with head symbol `¬`.
lemma lemma_with_false_in_head (a b : ℕ) (h1 : a < b) (h2 : P a) : false :=
by { apply nat.not_lt_zero, cases h2, assumption }
example (a : ℕ) (h : P a) : 0 > a := by library_search -- says `exact lemma_with_gt_in_head a h`
example (a : ℕ) (h : P a) : a < 0 := by library_search -- says `exact lemma_with_gt_in_head a h`
example (a b : ℕ) (h1 : a < b) (h2 : P a) : false := by library_search
-- says `exact lemma_with_false_in_head a b h1 h2`
example (a b : ℕ) (h1 : a < b) : ¬ (P a) := by library_search!
-- says `exact lemma_with_false_in_head a b h1`
end synonym
-- We even find `iff` results:
example : ∀ P : Prop, ¬(P ↔ ¬P) :=
by library_search! -- says: `λ (a : Prop), (iff_not_self a).mp`
example {a b c : ℕ} (h₁ : a ∣ c) (h₂ : a ∣ b + c) : a ∣ b :=
by library_search -- says `exact (nat.dvd_add_left h₁).mp h₂`
-- Checking examples from issue #2220
example {α : Sort*} (h : empty) : α :=
by library_search
example {α : Type*} (h : empty) : α :=
by library_search
def map_from_sum {A B C : Type} (f : A → C) (g : B → C) : (A ⊕ B) → C := by library_search
-- Test that we can set the transparency level in `apply`
-- to change how aggressively we unfold definitions while trying to apply lemmas.
lemma bind_singleton {α β} (x : α) (f : α → list β) : list.bind [x] f = f x :=
begin
success_if_fail {
library_search { md := tactic.transparency.reducible }, },
library_search!,
end
constant f : ℕ → ℕ
axiom F (a b : ℕ) : f a ≤ f b ↔ a ≤ b
example (a b : ℕ) (h : a ≤ b) : f a ≤ f b := by library_search
-- Test #3432
theorem nonzero_gt_one (n : ℕ) : ¬ n = 0 → n ≥ 1 :=
by library_search! -- `exact nat.pos_of_ne_zero`
example (L : list (list ℕ)) : list ℕ :=
by library_search using L
example (n m : ℕ) : ℕ :=
by library_search using n m
example (P Q : list ℕ) (h : ℕ) : list ℕ :=
by library_search using h Q
example (P Q : list ℕ) (h : ℕ) : list ℕ :=
by library_search using P Q
-- Make sure `library_search` finds nothing when we list too many hypotheses after `using`.
example (P Q R S T : list ℕ) : list ℕ :=
begin
success_if_fail { library_search using P Q R S T, },
exact []
end
-- Tests for #3428
constants (x y w z : ℕ)
axiom not_axiom : ¬ x = y
axiom ne_axiom : w ≠ z
example : x ≠ y := by library_search
example : ¬ w = z := by library_search
end test.library_search
|
7996c1be85427df1ff014d086af742d860f0cfd5 | 367134ba5a65885e863bdc4507601606690974c1 | /src/topology/algebra/group_completion.lean | 0beb68d02376ec9afcf3f38ebc6e5b6384a81ea2 | [
"Apache-2.0"
] | permissive | kodyvajjha/mathlib | 9bead00e90f68269a313f45f5561766cfd8d5cad | b98af5dd79e13a38d84438b850a2e8858ec21284 | refs/heads/master | 1,624,350,366,310 | 1,615,563,062,000 | 1,615,563,062,000 | 162,666,963 | 0 | 0 | Apache-2.0 | 1,545,367,651,000 | 1,545,367,651,000 | null | UTF-8 | Lean | false | false | 4,737 | lean | /-
Copyright (c) 2018 Patrick Massot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Massot, Johannes Hölzl
Completion of topological groups:
-/
import topology.uniform_space.completion
import topology.algebra.uniform_group
noncomputable theory
universes u v
section group
open uniform_space Cauchy filter set
variables {α : Type u} [uniform_space α]
instance [has_zero α] : has_zero (completion α) := ⟨(0 : α)⟩
instance [has_neg α] : has_neg (completion α) := ⟨completion.map (λa, -a : α → α)⟩
instance [has_add α] : has_add (completion α) := ⟨completion.map₂ (+)⟩
instance [has_sub α] : has_sub (completion α) := ⟨completion.map₂ has_sub.sub⟩
-- TODO: switch sides once #1103 is fixed
@[norm_cast]
lemma uniform_space.completion.coe_zero [has_zero α] : ((0 : α) : completion α) = 0 := rfl
end group
namespace uniform_space.completion
section uniform_add_group
open uniform_space uniform_space.completion
variables {α : Type*} [uniform_space α] [add_group α] [uniform_add_group α]
@[norm_cast]
lemma coe_neg (a : α) : ((- a : α) : completion α) = - a :=
(map_coe uniform_continuous_neg a).symm
@[norm_cast]
lemma coe_sub (a b : α) : ((a - b : α) : completion α) = a - b :=
(map₂_coe_coe a b has_sub.sub uniform_continuous_sub).symm
@[norm_cast]
lemma coe_add (a b : α) : ((a + b : α) : completion α) = a + b :=
(map₂_coe_coe a b (+) uniform_continuous_add).symm
instance : sub_neg_monoid (completion α) :=
{ zero_add := assume a, completion.induction_on a
(is_closed_eq (continuous_map₂ continuous_const continuous_id) continuous_id)
(assume a, show 0 + (a : completion α) = a, by rw_mod_cast zero_add),
add_zero := assume a, completion.induction_on a
(is_closed_eq (continuous_map₂ continuous_id continuous_const) continuous_id)
(assume a, show (a : completion α) + 0 = a, by rw_mod_cast add_zero),
add_assoc := assume a b c, completion.induction_on₃ a b c
(is_closed_eq
(continuous_map₂
(continuous_map₂ continuous_fst (continuous_fst.comp continuous_snd))
(continuous_snd.comp continuous_snd))
(continuous_map₂ continuous_fst
(continuous_map₂
(continuous_fst.comp continuous_snd)
(continuous_snd.comp continuous_snd))))
(assume a b c, show (a : completion α) + b + c = a + (b + c),
by repeat { rw_mod_cast add_assoc }),
sub_eq_add_neg := λ a b, completion.induction_on₂ a b
(is_closed_eq (continuous_map₂ continuous_fst continuous_snd)
(continuous_map₂ continuous_fst (continuous_map.comp continuous_snd)))
(λ a b, by exact_mod_cast congr_arg coe (sub_eq_add_neg a b)),
.. completion.has_zero, .. completion.has_neg, ..completion.has_add, .. completion.has_sub }
instance : add_group (completion α) :=
{ add_left_neg := assume a, completion.induction_on a
(is_closed_eq (continuous_map₂ completion.continuous_map continuous_id) continuous_const)
(assume a, show - (a : completion α) + a = 0, by { rw_mod_cast add_left_neg, refl }),
.. completion.sub_neg_monoid }
instance : uniform_add_group (completion α) :=
⟨uniform_continuous_map₂ has_sub.sub⟩
instance is_add_group_hom_coe : is_add_group_hom (coe : α → completion α) :=
{ map_add := coe_add }
variables {β : Type v} [uniform_space β] [add_group β] [uniform_add_group β]
lemma is_add_group_hom_extension [complete_space β] [separated_space β] {f : α → β}
[is_add_group_hom f] (hf : continuous f) : is_add_group_hom (completion.extension f) :=
have hf : uniform_continuous f, from uniform_continuous_of_continuous hf,
{ map_add := assume a b, completion.induction_on₂ a b
(is_closed_eq
(continuous_extension.comp continuous_add)
((continuous_extension.comp continuous_fst).add (continuous_extension.comp continuous_snd)))
(λ a b, by rw_mod_cast [extension_coe hf, extension_coe hf, extension_coe hf,
is_add_hom.map_add f]) }
lemma is_add_group_hom_map
{f : α → β} [is_add_group_hom f] (hf : continuous f) : is_add_group_hom (completion.map f) :=
@is_add_group_hom_extension _ _ _ _ _ _ _ _ _ _ _ (is_add_group_hom.comp _ _)
((continuous_coe _).comp hf)
instance {α : Type u} [uniform_space α] [add_comm_group α] [uniform_add_group α] :
add_comm_group (completion α) :=
{ add_comm := assume a b, completion.induction_on₂ a b
(is_closed_eq (continuous_map₂ continuous_fst continuous_snd)
(continuous_map₂ continuous_snd continuous_fst))
(assume x y, by { change ↑x + ↑y = ↑y + ↑x, rw [← coe_add, ← coe_add, add_comm]}),
.. completion.add_group }
end uniform_add_group
end uniform_space.completion
|
a6a31ecad0316f708246bbbad80a6122e7f7ee09 | 55c7fc2bf55d496ace18cd6f3376e12bb14c8cc5 | /src/data/pnat/factors.lean | 08d7e03b465e6033a636fd1bd9f2d67967a1ec46 | [
"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 | 13,960 | lean | /-
Copyright (c) 2019 Neil Strickland. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Neil Strickland
-/
import data.pnat.basic
import data.multiset.sort
import data.int.gcd
import algebra.group
/-- The type of multisets of prime numbers. Unique factorization
gives an equivalence between this set and ℕ+, as we will formalize
below. -/
def prime_multiset := multiset nat.primes
namespace prime_multiset
instance : inhabited prime_multiset :=
by unfold prime_multiset; apply_instance
instance : has_repr prime_multiset :=
by { dsimp [prime_multiset], apply_instance }
instance : canonically_ordered_add_monoid prime_multiset :=
by { dsimp [prime_multiset], apply_instance }
instance : distrib_lattice prime_multiset :=
by { dsimp [prime_multiset], apply_instance }
instance : semilattice_sup_bot prime_multiset :=
by { dsimp [prime_multiset], apply_instance }
instance : has_sub prime_multiset :=
by { dsimp [prime_multiset], apply_instance }
theorem add_sub_of_le {u v : prime_multiset} : u ≤ v → u + (v - u) = v :=
multiset.add_sub_of_le
/-- The multiset consisting of a single prime
-/
def of_prime (p : nat.primes) : prime_multiset := (p :: 0)
theorem card_of_prime (p : nat.primes) : multiset.card (of_prime p) = 1 := rfl
/-- We can forget the primality property and regard a multiset
of primes as just a multiset of positive integers, or a multiset
of natural numbers. In the opposite direction, if we have a
multiset of positive integers or natural numbers, together with
a proof that all the elements are prime, then we can regard it
as a multiset of primes. The next block of results records
obvious properties of these coercions.
-/
def to_nat_multiset : prime_multiset → multiset ℕ :=
λ v, v.map (λ p, (p : ℕ))
instance coe_nat : has_coe prime_multiset (multiset ℕ) := ⟨to_nat_multiset⟩
instance coe_nat_hom : is_add_monoid_hom (coe : prime_multiset → multiset ℕ) :=
by { unfold_coes, dsimp [to_nat_multiset], apply_instance }
theorem coe_nat_injective : function.injective (coe : prime_multiset → multiset ℕ) :=
multiset.map_injective nat.primes.coe_nat_inj
theorem coe_nat_of_prime (p : nat.primes) :
((of_prime p) : multiset ℕ) = (p : ℕ) :: 0 := rfl
theorem coe_nat_prime (v : prime_multiset)
(p : ℕ) (h : p ∈ (v : multiset ℕ)) : p.prime :=
by { rcases multiset.mem_map.mp h with ⟨⟨p', hp'⟩, ⟨h_mem, h_eq⟩⟩,
exact h_eq ▸ hp' }
def to_pnat_multiset : prime_multiset → multiset ℕ+ :=
λ v, v.map (λ p, (p : ℕ+))
instance coe_pnat : has_coe prime_multiset (multiset ℕ+) := ⟨to_pnat_multiset⟩
instance coe_pnat_hom : is_add_monoid_hom (coe : prime_multiset → multiset ℕ+) :=
by { unfold_coes, dsimp [to_pnat_multiset], apply_instance }
theorem coe_pnat_injective : function.injective (coe : prime_multiset → multiset ℕ+) :=
multiset.map_injective nat.primes.coe_pnat_inj
theorem coe_pnat_of_prime (p : nat.primes) :
((of_prime p) : multiset ℕ+) = (p : ℕ+) :: 0 := rfl
theorem coe_pnat_prime (v : prime_multiset)
(p : ℕ+) (h : p ∈ (v : multiset ℕ+)) : p.prime :=
by { rcases multiset.mem_map.mp h with ⟨⟨p', hp'⟩, ⟨h_mem, h_eq⟩⟩,
exact h_eq ▸ hp' }
instance coe_multiset_pnat_nat : has_coe (multiset ℕ+) (multiset ℕ) :=
⟨λ v, v.map (λ n, (n : ℕ))⟩
theorem coe_pnat_nat (v : prime_multiset) :
((v : (multiset ℕ+)) : (multiset ℕ)) = (v : multiset ℕ) :=
by { change (v.map (coe : nat.primes → ℕ+)).map subtype.val = v.map subtype.val,
rw [multiset.map_map], congr }
def prod (v : prime_multiset) : ℕ+ := (v : multiset pnat).prod
theorem coe_prod (v : prime_multiset) : (v.prod : ℕ) = (v : multiset ℕ).prod :=
begin
let h : (v.prod : ℕ) = ((v.map coe).map coe).prod :=
((monoid_hom.of coe).map_multiset_prod v.to_pnat_multiset),
rw [multiset.map_map] at h,
have : (coe : ℕ+ → ℕ) ∘ (coe : nat.primes → ℕ+) = coe := funext (λ p, rfl),
rw[this] at h, exact h,
end
theorem prod_of_prime (p : nat.primes) : (of_prime p).prod = (p : ℕ+) :=
by { change multiset.prod ((p : ℕ+) :: 0) = (p : ℕ+),
rw [multiset.prod_cons, multiset.prod_zero, mul_one] }
def of_nat_multiset
(v : multiset ℕ) (h : ∀ (p : ℕ), p ∈ v → p.prime) : prime_multiset :=
@multiset.pmap ℕ nat.primes nat.prime (λ p hp, ⟨p, hp⟩) v h
theorem to_of_nat_multiset (v : multiset ℕ) (h) :
((of_nat_multiset v h) : multiset ℕ) = v :=
begin
unfold_coes,
dsimp [of_nat_multiset, to_nat_multiset],
have : (λ (p : ℕ) (h : p.prime), ((⟨p, h⟩ : nat.primes) : ℕ)) = (λ p h, id p) :=
by {funext p h, refl},
rw [multiset.map_pmap, this, multiset.pmap_eq_map, multiset.map_id]
end
theorem prod_of_nat_multiset (v : multiset ℕ) (h) :
((of_nat_multiset v h).prod : ℕ) = (v.prod : ℕ) :=
by rw[coe_prod, to_of_nat_multiset]
def of_pnat_multiset
(v : multiset ℕ+) (h : ∀ (p : ℕ+), p ∈ v → p.prime) : prime_multiset :=
@multiset.pmap ℕ+ nat.primes pnat.prime (λ p hp, ⟨(p : ℕ), hp⟩) v h
theorem to_of_pnat_multiset (v : multiset ℕ+) (h) :
((of_pnat_multiset v h) : multiset ℕ+) = v :=
begin
unfold_coes, dsimp[of_pnat_multiset, to_pnat_multiset],
have : (λ (p : ℕ+) (h : p.prime), ((coe : nat.primes → ℕ+) ⟨p, h⟩)) = (λ p h, id p) :=
by {funext p h, apply subtype.eq, refl},
rw[multiset.map_pmap, this, multiset.pmap_eq_map, multiset.map_id]
end
theorem prod_of_pnat_multiset (v : multiset ℕ+) (h) :
((of_pnat_multiset v h).prod : ℕ+) = v.prod :=
by { dsimp [prod], rw [to_of_pnat_multiset] }
/-- Lists can be coerced to multisets; here we have some results
about how this interacts with our constructions on multisets.
-/
def of_nat_list (l : list ℕ) (h : ∀ (p : ℕ), p ∈ l → p.prime) : prime_multiset :=
of_nat_multiset (l : multiset ℕ) h
theorem prod_of_nat_list (l : list ℕ) (h) : ((of_nat_list l h).prod : ℕ) = l.prod :=
by { have := prod_of_nat_multiset (l : multiset ℕ) h,
rw [multiset.coe_prod] at this, exact this }
def of_pnat_list (l : list ℕ+) (h : ∀ (p : ℕ+), p ∈ l → p.prime) : prime_multiset :=
of_pnat_multiset (l : multiset ℕ+) h
theorem prod_of_pnat_list (l : list ℕ+) (h) : (of_pnat_list l h).prod = l.prod :=
by { have := prod_of_pnat_multiset (l : multiset ℕ+) h,
rw [multiset.coe_prod] at this, exact this }
/-- The product map gives a homomorphism from the additive monoid
of multisets to the multiplicative monoid ℕ+.
-/
theorem prod_zero : (0 : prime_multiset).prod = 1 :=
by { dsimp [prod], exact multiset.prod_zero }
theorem prod_add (u v : prime_multiset) : (u + v).prod = u.prod * v.prod :=
by { dsimp [prod],
rw [is_add_monoid_hom.map_add (coe : prime_multiset → multiset ℕ+)],
rw [multiset.prod_add] }
theorem prod_smul (d : ℕ) (u : prime_multiset) :
(d •ℕ u).prod = u.prod ^ d :=
by { induction d with d ih, refl,
rw [succ_nsmul, prod_add, ih, nat.succ_eq_add_one, pow_succ, mul_comm] }
end prime_multiset
namespace pnat
/-- The prime factors of n, regarded as a multiset -/
def factor_multiset (n : ℕ+) : prime_multiset :=
prime_multiset.of_nat_list (nat.factors n) (@nat.mem_factors n)
/-- The product of the factors is the original number -/
theorem prod_factor_multiset (n : ℕ+) : (factor_multiset n).prod = n :=
eq $ by { dsimp [factor_multiset],
rw [prime_multiset.prod_of_nat_list],
exact nat.prod_factors n.pos }
theorem coe_nat_factor_multiset (n : ℕ+) :
((factor_multiset n) : (multiset ℕ)) = ((nat.factors n) : multiset ℕ) :=
prime_multiset.to_of_nat_multiset (nat.factors n) (@nat.mem_factors n)
end pnat
namespace prime_multiset
/-- If we start with a multiset of primes, take the product and
then factor it, we get back the original multiset. -/
theorem factor_multiset_prod (v : prime_multiset) :
v.prod.factor_multiset = v :=
begin
apply prime_multiset.coe_nat_injective,
rw [v.prod.coe_nat_factor_multiset, prime_multiset.coe_prod],
rcases v with l,
unfold_coes,
dsimp [prime_multiset.to_nat_multiset],
rw [multiset.coe_prod],
let l' := l.map (coe : nat.primes → ℕ),
have : ∀ (p : ℕ), p ∈ l' → p.prime :=
λ p hp, by {rcases list.mem_map.mp hp with ⟨⟨p', hp'⟩, ⟨h_mem, h_eq⟩⟩,
exact h_eq ▸ hp'},
exact multiset.coe_eq_coe.mpr (@nat.factors_unique _ l' rfl this).symm,
end
end prime_multiset
namespace pnat
/-- Positive integers biject with multisets of primes. -/
def factor_multiset_equiv : ℕ+ ≃ prime_multiset :=
{ to_fun := factor_multiset,
inv_fun := prime_multiset.prod,
left_inv := prod_factor_multiset,
right_inv := prime_multiset.factor_multiset_prod }
/-- Factoring gives a homomorphism from the multiplicative
monoid ℕ+ to the additive monoid of multisets. -/
theorem factor_multiset_one : factor_multiset 1 = 0 := rfl
theorem factor_multiset_mul (n m : ℕ+) :
factor_multiset (n * m) = (factor_multiset n) + (factor_multiset m) :=
begin
let u := factor_multiset n,
let v := factor_multiset m,
have : n = u.prod := (prod_factor_multiset n).symm, rw[this],
have : m = v.prod := (prod_factor_multiset m).symm, rw[this],
rw[← prime_multiset.prod_add],
repeat {rw[prime_multiset.factor_multiset_prod]},
end
theorem factor_multiset_pow (n : ℕ+) (m : ℕ) :
factor_multiset (n ^ m) = m •ℕ (factor_multiset n) :=
begin
let u := factor_multiset n,
have : n = u.prod := (prod_factor_multiset n).symm,
rw[this, ← prime_multiset.prod_smul],
repeat {rw[prime_multiset.factor_multiset_prod]},
end
/-- Factoring a prime gives the corresponding one-element multiset. -/
theorem factor_multiset_of_prime (p : nat.primes) :
(p : ℕ+).factor_multiset = prime_multiset.of_prime p :=
begin
apply factor_multiset_equiv.symm.injective,
change (p : ℕ+).factor_multiset.prod = (prime_multiset.of_prime p).prod,
rw[(p : ℕ+).prod_factor_multiset, prime_multiset.prod_of_prime],
end
/-- We now have four different results that all encode the
idea that inequality of multisets corresponds to divisibility
of positive integers. -/
theorem factor_multiset_le_iff {m n : ℕ+} :
factor_multiset m ≤ factor_multiset n ↔ m ∣ n :=
begin
split,
{ intro h,
rw [← prod_factor_multiset m, ← prod_factor_multiset m],
apply dvd_intro (n.factor_multiset - m.factor_multiset).prod,
rw [← prime_multiset.prod_add, prime_multiset.factor_multiset_prod,
prime_multiset.add_sub_of_le h, prod_factor_multiset] },
{ intro h,
rw [← mul_div_exact h, factor_multiset_mul],
exact le_add_right (le_refl _) }
end
theorem factor_multiset_le_iff' {m : ℕ+} {v : prime_multiset}:
factor_multiset m ≤ v ↔ m ∣ v.prod :=
by { let h := @factor_multiset_le_iff m v.prod,
rw [v.factor_multiset_prod] at h, exact h }
end pnat
namespace prime_multiset
theorem prod_dvd_iff {u v : prime_multiset} : u.prod ∣ v.prod ↔ u ≤ v :=
by { let h := @pnat.factor_multiset_le_iff' u.prod v,
rw [u.factor_multiset_prod] at h, exact h.symm }
theorem prod_dvd_iff' {u : prime_multiset} {n : ℕ+} : u.prod ∣ n ↔ u ≤ n.factor_multiset :=
by { let h := @prod_dvd_iff u n.factor_multiset,
rw [n.prod_factor_multiset] at h, exact h }
end prime_multiset
namespace pnat
/-- The gcd and lcm operations on positive integers correspond
to the inf and sup operations on multisets.
-/
theorem factor_multiset_gcd (m n : ℕ+) :
factor_multiset (gcd m n) = (factor_multiset m) ⊓ (factor_multiset n) :=
begin
apply le_antisymm,
{ apply le_inf_iff.mpr; split; apply factor_multiset_le_iff.mpr,
exact gcd_dvd_left m n, exact gcd_dvd_right m n},
{ rw[← prime_multiset.prod_dvd_iff, prod_factor_multiset],
apply dvd_gcd; rw[prime_multiset.prod_dvd_iff'],
exact inf_le_left, exact inf_le_right}
end
theorem factor_multiset_lcm (m n : ℕ+) :
factor_multiset (lcm m n) = (factor_multiset m) ⊔ (factor_multiset n) :=
begin
apply le_antisymm,
{ rw[← prime_multiset.prod_dvd_iff, prod_factor_multiset],
apply lcm_dvd; rw[← factor_multiset_le_iff'],
exact le_sup_left, exact le_sup_right},
{ apply sup_le_iff.mpr; split; apply factor_multiset_le_iff.mpr,
exact dvd_lcm_left m n, exact dvd_lcm_right m n },
end
/-- The number of occurrences of p in the factor multiset of m
is the same as the p-adic valuation of m. -/
theorem count_factor_multiset (m : ℕ+) (p : nat.primes) (k : ℕ) :
(p : ℕ+) ^ k ∣ m ↔ k ≤ m.factor_multiset.count p :=
begin
intros,
rw [multiset.le_count_iff_repeat_le],
rw [← factor_multiset_le_iff, factor_multiset_pow, factor_multiset_of_prime],
congr' 2,
apply multiset.eq_repeat.mpr,
split,
{ rw [multiset.card_smul, prime_multiset.card_of_prime, mul_one] },
{ have : ∀ (m : ℕ), m •ℕ (p::0) = multiset.repeat p m :=
λ m, by {induction m with m ih, { refl },
rw [succ_nsmul, multiset.repeat_succ, ih],
rw[multiset.cons_add, zero_add] },
intros q h, rw [prime_multiset.of_prime, this k] at h,
exact multiset.eq_of_mem_repeat h }
end
end pnat
namespace prime_multiset
theorem prod_inf (u v : prime_multiset) :
(u ⊓ v).prod = pnat.gcd u.prod v.prod :=
begin
let n := u.prod,
let m := v.prod,
change (u ⊓ v).prod = pnat.gcd n m,
have : u = n.factor_multiset := u.factor_multiset_prod.symm, rw [this],
have : v = m.factor_multiset := v.factor_multiset_prod.symm, rw [this],
rw [← pnat.factor_multiset_gcd n m, pnat.prod_factor_multiset]
end
theorem prod_sup (u v : prime_multiset) :
(u ⊔ v).prod = pnat.lcm u.prod v.prod :=
begin
let n := u.prod,
let m := v.prod,
change (u ⊔ v).prod = pnat.lcm n m,
have : u = n.factor_multiset := u.factor_multiset_prod.symm, rw [this],
have : v = m.factor_multiset := v.factor_multiset_prod.symm, rw [this],
rw[← pnat.factor_multiset_lcm n m, pnat.prod_factor_multiset]
end
end prime_multiset
|
858df2f8953b8950a6e09dbc9ab12ce39233ff34 | 77c5b91fae1b966ddd1db969ba37b6f0e4901e88 | /src/group_theory/submonoid/basic.lean | a4bf838fff9e7ff7f943014a237cab4c258cf0e7 | [
"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 | 16,177 | lean | /-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Kenny Lau, Johan Commelin, Mario Carneiro, Kevin Buzzard,
Amelia Livingston, Yury Kudryashov
-/
import data.set.lattice
import data.set_like.basic
/-!
# Submonoids: definition and `complete_lattice` structure
This file defines bundled multiplicative and additive submonoids. We also define
a `complete_lattice` structure on `submonoid`s, define the closure of a set as the minimal submonoid
that includes this set, and prove a few results about extending properties from a dense set (i.e.
a set with `closure s = ⊤`) to the whole monoid, see `submonoid.dense_induction` and
`monoid_hom.of_mdense`.
## Main definitions
* `submonoid M`: the type of bundled submonoids of a monoid `M`; the underlying set is given in
the `carrier` field of the structure, and should be accessed through coercion as in `(S : set M)`.
* `add_submonoid M` : the type of bundled submonoids of an additive monoid `M`.
For each of the following definitions in the `submonoid` namespace, there is a corresponding
definition in the `add_submonoid` namespace.
* `submonoid.copy` : copy of a submonoid with `carrier` replaced by a set that is equal but possibly
not definitionally equal to the carrier of the original `submonoid`.
* `submonoid.closure` : monoid closure of a set, i.e., the least submonoid that includes the set.
* `submonoid.gi` : `closure : set M → submonoid M` and coercion `coe : submonoid M → set M`
form a `galois_insertion`;
* `monoid_hom.eq_mlocus`: the submonoid of elements `x : M` such that `f x = g x`;
* `monoid_hom.of_mdense`: if a map `f : M → N` between two monoids satisfies `f 1 = 1` and
`f (x * y) = f x * f y` for `y` from some dense set `s`, then `f` is a monoid homomorphism.
E.g., if `f : ℕ → M` satisfies `f 0 = 0` and `f (x + 1) = f x + f 1`, then `f` is an additive
monoid homomorphism.
## Implementation notes
Submonoid inclusion is denoted `≤` rather than `⊆`, although `∈` is defined as
membership of a submonoid's underlying set.
Note that `submonoid M` does not actually require `monoid M`, instead requiring only the weaker
`mul_one_class M`.
This file is designed to have very few dependencies. In particular, it should not use natural
numbers.
## Tags
submonoid, submonoids
-/
variables {M : Type*} {N : Type*}
variables {A : Type*}
section non_assoc
variables [mul_one_class M] {s : set M}
variables [add_zero_class A] {t : set A}
/-- A submonoid of a monoid `M` is a subset containing 1 and closed under multiplication. -/
structure submonoid (M : Type*) [mul_one_class M] :=
(carrier : set M)
(one_mem' : (1 : M) ∈ carrier)
(mul_mem' {a b} : a ∈ carrier → b ∈ carrier → a * b ∈ carrier)
/-- An additive submonoid of an additive monoid `M` is a subset containing 0 and
closed under addition. -/
structure add_submonoid (M : Type*) [add_zero_class M] :=
(carrier : set M)
(zero_mem' : (0 : M) ∈ carrier)
(add_mem' {a b} : a ∈ carrier → b ∈ carrier → a + b ∈ carrier)
attribute [to_additive] submonoid
namespace submonoid
@[to_additive]
instance : set_like (submonoid M) M :=
⟨submonoid.carrier, λ p q h, by cases p; cases q; congr'⟩
/-- See Note [custom simps projection] -/
@[to_additive " See Note [custom simps projection]"]
def simps.coe (S : submonoid M) : set M := S
initialize_simps_projections submonoid (carrier → coe)
initialize_simps_projections add_submonoid (carrier → coe)
@[simp, to_additive]
lemma mem_carrier {s : submonoid M} {x : M} : x ∈ s.carrier ↔ x ∈ s := iff.rfl
@[simp, to_additive]
lemma mem_mk {s : set M} {x : M} (h_one) (h_mul) : x ∈ mk s h_one h_mul ↔ x ∈ s := iff.rfl
@[simp, to_additive]
lemma coe_set_mk {s : set M} (h_one) (h_mul) : (mk s h_one h_mul : set M) = s := rfl
@[simp, to_additive]
lemma mk_le_mk {s t : set M} (h_one) (h_mul) (h_one') (h_mul') :
mk s h_one h_mul ≤ mk t h_one' h_mul' ↔ s ⊆ t := iff.rfl
/-- Two submonoids are equal if they have the same elements. -/
@[ext, to_additive "Two `add_submonoid`s are equal if they have the same elements."]
theorem ext {S T : submonoid M}
(h : ∀ x, x ∈ S ↔ x ∈ T) : S = T := set_like.ext h
attribute [ext] add_submonoid.ext
/-- Copy a submonoid replacing `carrier` with a set that is equal to it. -/
@[to_additive "Copy an additive submonoid replacing `carrier` with a set that is equal to it."]
protected def copy (S : submonoid M) (s : set M) (hs : s = S) : submonoid M :=
{ carrier := s,
one_mem' := hs.symm ▸ S.one_mem',
mul_mem' := hs.symm ▸ S.mul_mem' }
variable {S : submonoid M}
@[simp, to_additive] lemma coe_copy {s : set M} (hs : s = S) :
(S.copy s hs : set M) = s := rfl
@[to_additive] lemma copy_eq {s : set M} (hs : s = S) : S.copy s hs = S :=
set_like.coe_injective hs
variable (S)
/-- A submonoid contains the monoid's 1. -/
@[to_additive "An `add_submonoid` contains the monoid's 0."]
theorem one_mem : (1 : M) ∈ S := S.one_mem'
/-- A submonoid is closed under multiplication. -/
@[to_additive "An `add_submonoid` is closed under addition."]
theorem mul_mem {x y : M} : x ∈ S → y ∈ S → x * y ∈ S := submonoid.mul_mem' S
/-- The submonoid `M` of the monoid `M`. -/
@[to_additive "The additive submonoid `M` of the `add_monoid M`."]
instance : has_top (submonoid M) :=
⟨{ carrier := set.univ,
one_mem' := set.mem_univ 1,
mul_mem' := λ _ _ _ _, set.mem_univ _ }⟩
/-- The trivial submonoid `{1}` of an monoid `M`. -/
@[to_additive "The trivial `add_submonoid` `{0}` of an `add_monoid` `M`."]
instance : has_bot (submonoid M) :=
⟨{ carrier := {1},
one_mem' := set.mem_singleton 1,
mul_mem' := λ a b ha hb, by { simp only [set.mem_singleton_iff] at *, rw [ha, hb, mul_one] }}⟩
@[to_additive]
instance : inhabited (submonoid M) := ⟨⊥⟩
@[simp, to_additive] lemma mem_bot {x : M} : x ∈ (⊥ : submonoid M) ↔ x = 1 := set.mem_singleton_iff
@[simp, to_additive] lemma mem_top (x : M) : x ∈ (⊤ : submonoid M) := set.mem_univ x
@[simp, to_additive] lemma coe_top : ((⊤ : submonoid M) : set M) = set.univ := rfl
@[simp, to_additive] lemma coe_bot : ((⊥ : submonoid M) : set M) = {1} := rfl
/-- The inf of two submonoids is their intersection. -/
@[to_additive "The inf of two `add_submonoid`s is their intersection."]
instance : has_inf (submonoid M) :=
⟨λ S₁ S₂,
{ carrier := S₁ ∩ S₂,
one_mem' := ⟨S₁.one_mem, S₂.one_mem⟩,
mul_mem' := λ _ _ ⟨hx, hx'⟩ ⟨hy, hy'⟩,
⟨S₁.mul_mem hx hy, S₂.mul_mem hx' hy'⟩ }⟩
@[simp, to_additive]
lemma coe_inf (p p' : submonoid M) : ((p ⊓ p' : submonoid M) : set M) = p ∩ p' := rfl
@[simp, to_additive]
lemma mem_inf {p p' : submonoid M} {x : M} : x ∈ p ⊓ p' ↔ x ∈ p ∧ x ∈ p' := iff.rfl
@[to_additive]
instance : has_Inf (submonoid M) :=
⟨λ s, {
carrier := ⋂ t ∈ s, ↑t,
one_mem' := set.mem_bInter $ λ i h, i.one_mem,
mul_mem' := λ x y hx hy, set.mem_bInter $ λ i h,
i.mul_mem (by apply set.mem_bInter_iff.1 hx i h) (by apply set.mem_bInter_iff.1 hy i h) }⟩
@[simp, to_additive]
lemma coe_Inf (S : set (submonoid M)) : ((Inf S : submonoid M) : set M) = ⋂ s ∈ S, ↑s := rfl
attribute [norm_cast] coe_Inf add_submonoid.coe_Inf
@[to_additive]
lemma mem_Inf {S : set (submonoid M)} {x : M} : x ∈ Inf S ↔ ∀ p ∈ S, x ∈ p := set.mem_bInter_iff
@[to_additive]
lemma mem_infi {ι : Sort*} {S : ι → submonoid M} {x : M} : (x ∈ ⨅ i, S i) ↔ ∀ i, x ∈ S i :=
by simp only [infi, mem_Inf, set.forall_range_iff]
@[simp, to_additive]
lemma coe_infi {ι : Sort*} {S : ι → submonoid M} : (↑(⨅ i, S i) : set M) = ⋂ i, S i :=
by simp only [infi, coe_Inf, set.bInter_range]
attribute [norm_cast] coe_infi add_submonoid.coe_infi
/-- Submonoids of a monoid form a complete lattice. -/
@[to_additive "The `add_submonoid`s of an `add_monoid` form a complete lattice."]
instance : complete_lattice (submonoid M) :=
{ le := (≤),
lt := (<),
bot := (⊥),
bot_le := λ S x hx, (mem_bot.1 hx).symm ▸ S.one_mem,
top := (⊤),
le_top := λ S x hx, mem_top x,
inf := (⊓),
Inf := has_Inf.Inf,
le_inf := λ a b c ha hb x hx, ⟨ha hx, hb hx⟩,
inf_le_left := λ a b x, and.left,
inf_le_right := λ a b x, and.right,
.. complete_lattice_of_Inf (submonoid M) $ λ s,
is_glb.of_image (λ S T,
show (S : set M) ≤ T ↔ S ≤ T, from set_like.coe_subset_coe) is_glb_binfi }
@[simp, to_additive]
lemma subsingleton_iff : subsingleton (submonoid M) ↔ subsingleton M :=
⟨ λ h, by exactI ⟨λ x y,
have ∀ i : M, i = 1 := λ i, mem_bot.mp $ subsingleton.elim (⊤ : submonoid M) ⊥ ▸ mem_top i,
(this x).trans (this y).symm⟩,
λ h, by exactI ⟨λ x y, submonoid.ext $ λ i, subsingleton.elim 1 i ▸ by simp [submonoid.one_mem]⟩⟩
@[simp, to_additive]
lemma nontrivial_iff : nontrivial (submonoid M) ↔ nontrivial M :=
not_iff_not.mp (
(not_nontrivial_iff_subsingleton.trans subsingleton_iff).trans
not_nontrivial_iff_subsingleton.symm)
@[to_additive]
instance [subsingleton M] : unique (submonoid M) :=
⟨⟨⊥⟩, λ a, @subsingleton.elim _ (subsingleton_iff.mpr ‹_›) a _⟩
@[to_additive]
instance [nontrivial M] : nontrivial (submonoid M) := nontrivial_iff.mpr ‹_›
/-- The `submonoid` generated by a set. -/
@[to_additive "The `add_submonoid` generated by a set"]
def closure (s : set M) : submonoid M := Inf {S | s ⊆ S}
@[to_additive]
lemma mem_closure {x : M} : x ∈ closure s ↔ ∀ S : submonoid M, s ⊆ S → x ∈ S :=
mem_Inf
/-- The submonoid generated by a set includes the set. -/
@[simp, to_additive "The `add_submonoid` generated by a set includes the set."]
lemma subset_closure : s ⊆ closure s := λ x hx, mem_closure.2 $ λ S hS, hS hx
variable {S}
open set
/-- A submonoid `S` includes `closure s` if and only if it includes `s`. -/
@[simp, to_additive "An additive submonoid `S` includes `closure s` if and only if it includes `s`"]
lemma closure_le : closure s ≤ S ↔ s ⊆ S :=
⟨subset.trans subset_closure, λ h, Inf_le h⟩
/-- Submonoid closure of a set is monotone in its argument: if `s ⊆ t`,
then `closure s ≤ closure t`. -/
@[to_additive "Additive submonoid closure of a set is monotone in its argument: if `s ⊆ t`,
then `closure s ≤ closure t`"]
lemma closure_mono ⦃s t : set M⦄ (h : s ⊆ t) : closure s ≤ closure t :=
closure_le.2 $ subset.trans h subset_closure
@[to_additive]
lemma closure_eq_of_le (h₁ : s ⊆ S) (h₂ : S ≤ closure s) : closure s = S :=
le_antisymm (closure_le.2 h₁) h₂
variable (S)
/-- An induction principle for closure membership. If `p` holds for `1` and all elements of `s`, and
is preserved under multiplication, then `p` holds for all elements of the closure of `s`. -/
@[to_additive "An induction principle for additive closure membership. If `p` holds for `0` and all
elements of `s`, and is preserved under addition, then `p` holds for all elements
of the additive closure of `s`."]
lemma closure_induction {p : M → Prop} {x} (h : x ∈ closure s)
(Hs : ∀ x ∈ s, p x) (H1 : p 1)
(Hmul : ∀ x y, p x → p y → p (x * y)) : p x :=
(@closure_le _ _ _ ⟨p, H1, Hmul⟩).2 Hs h
attribute [elab_as_eliminator] submonoid.closure_induction add_submonoid.closure_induction
/-- If `s` is a dense set in a monoid `M`, `submonoid.closure s = ⊤`, then in order to prove that
some predicate `p` holds for all `x : M` it suffices to verify `p x` for `x ∈ s`, verify `p 1`,
and verify that `p x` and `p y` imply `p (x * y)`. -/
@[to_additive]
lemma dense_induction {p : M → Prop} (x : M) {s : set M} (hs : closure s = ⊤)
(Hs : ∀ x ∈ s, p x) (H1 : p 1)
(Hmul : ∀ x y, p x → p y → p (x * y)) : p x :=
have ∀ x ∈ closure s, p x, from λ x hx, closure_induction hx Hs H1 Hmul,
by simpa [hs] using this x
/-- If `s` is a dense set in an additive monoid `M`, `add_submonoid.closure s = ⊤`, then in order
to prove that some predicate `p` holds for all `x : M` it suffices to verify `p x` for `x ∈ s`,
verify `p 0`, and verify that `p x` and `p y` imply `p (x + y)`. -/
add_decl_doc add_submonoid.dense_induction
attribute [elab_as_eliminator] dense_induction add_submonoid.dense_induction
variable (M)
/-- `closure` forms a Galois insertion with the coercion to set. -/
@[to_additive "`closure` forms a Galois insertion with the coercion to set."]
protected def gi : galois_insertion (@closure M _) coe :=
{ choice := λ s _, closure s,
gc := λ s t, closure_le,
le_l_u := λ s, subset_closure,
choice_eq := λ s h, rfl }
variable {M}
/-- Closure of a submonoid `S` equals `S`. -/
@[simp, to_additive "Additive closure of an additive submonoid `S` equals `S`"]
lemma closure_eq : closure (S : set M) = S := (submonoid.gi M).l_u_eq S
@[simp, to_additive] lemma closure_empty : closure (∅ : set M) = ⊥ :=
(submonoid.gi M).gc.l_bot
@[simp, to_additive] lemma closure_univ : closure (univ : set M) = ⊤ :=
@coe_top M _ ▸ closure_eq ⊤
@[to_additive]
lemma closure_union (s t : set M) : closure (s ∪ t) = closure s ⊔ closure t :=
(submonoid.gi M).gc.l_sup
@[to_additive]
lemma closure_Union {ι} (s : ι → set M) : closure (⋃ i, s i) = ⨆ i, closure (s i) :=
(submonoid.gi M).gc.l_supr
end submonoid
namespace monoid_hom
variables [mul_one_class N]
open submonoid
/-- The submonoid of elements `x : M` such that `f x = g x` -/
@[to_additive "The additive submonoid of elements `x : M` such that `f x = g x`"]
def eq_mlocus (f g : M →* N) : submonoid M :=
{ carrier := {x | f x = g x},
one_mem' := by rw [set.mem_set_of_eq, f.map_one, g.map_one],
mul_mem' := λ x y (hx : _ = _) (hy : _ = _), by simp [*] }
/-- If two monoid homomorphisms are equal on a set, then they are equal on its submonoid closure. -/
@[to_additive]
lemma eq_on_mclosure {f g : M →* N} {s : set M} (h : set.eq_on f g s) :
set.eq_on f g (closure s) :=
show closure s ≤ f.eq_mlocus g, from closure_le.2 h
@[to_additive]
lemma eq_of_eq_on_mtop {f g : M →* N} (h : set.eq_on f g (⊤ : submonoid M)) :
f = g :=
ext $ λ x, h trivial
@[to_additive]
lemma eq_of_eq_on_mdense {s : set M} (hs : closure s = ⊤) {f g : M →* N} (h : s.eq_on f g) :
f = g :=
eq_of_eq_on_mtop $ hs ▸ eq_on_mclosure h
end monoid_hom
end non_assoc
section assoc
variables [monoid M] [monoid N] {s : set M}
section is_unit
/-- The submonoid consisting of the units of a monoid -/
def is_unit.submonoid (M : Type*) [monoid M] : submonoid M :=
{ carrier := set_of is_unit,
one_mem' := by simp only [is_unit_one, set.mem_set_of_eq],
mul_mem' := by { intros a b ha hb, rw set.mem_set_of_eq at *, exact is_unit.mul ha hb } }
lemma is_unit.mem_submonoid_iff {M : Type*} [monoid M] (a : M) :
a ∈ is_unit.submonoid M ↔ is_unit a :=
begin
change a ∈ set_of is_unit ↔ is_unit a,
rw set.mem_set_of_eq
end
end is_unit
namespace monoid_hom
open submonoid
/-- Let `s` be a subset of a monoid `M` such that the closure of `s` is the whole monoid.
Then `monoid_hom.of_mdense` defines a monoid homomorphism from `M` asking for a proof
of `f (x * y) = f x * f y` only for `y ∈ s`. -/
@[to_additive]
def of_mdense {M N} [monoid M] [monoid N] {s : set M} (f : M → N) (hs : closure s = ⊤)
(h1 : f 1 = 1) (hmul : ∀ x (y ∈ s), f (x * y) = f x * f y) :
M →* N :=
{ to_fun := f,
map_one' := h1,
map_mul' := λ x y, dense_induction y hs (λ y hy x, hmul x y hy) (by simp [h1])
(λ y₁ y₂ h₁ h₂ x, by simp only [← mul_assoc, h₁, h₂]) x }
/-- Let `s` be a subset of an additive monoid `M` such that the closure of `s` is the whole monoid.
Then `add_monoid_hom.of_mdense` defines an additive monoid homomorphism from `M` asking for a proof
of `f (x + y) = f x + f y` only for `y ∈ s`. -/
add_decl_doc add_monoid_hom.of_mdense
@[simp, to_additive] lemma coe_of_mdense (f : M → N) (hs : closure s = ⊤) (h1 hmul) :
⇑(of_mdense f hs h1 hmul) = f := rfl
attribute [norm_cast] coe_of_mdense add_monoid_hom.coe_of_mdense
end monoid_hom
end assoc
|
13869c882973f249d94b723ea2e9f84da943a3b6 | 4d2583807a5ac6caaffd3d7a5f646d61ca85d532 | /src/category_theory/limits/shapes/multiequalizer.lean | 4f9c59a9671de04b2a588bbf1d8276d21d37d9b3 | [
"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 | 13,747 | lean | /-
Copyright (c) 2021 Adam Topaz. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Adam Topaz
-/
import category_theory.limits.has_limits
/-!
# Multi-(co)equalizers
A *multiequalizer* is an equalizer of two morphisms between two products.
Since both products and equalizers are limits, such an object is again a limit.
This file provides the diagram whose limit is indeed such an object.
In fact, it is well-known that any limit can be obtained as a multiequalizer.
The dual construction (multicoequalizers) is also provided.
## Projects
Prove that a multiequalizer can be identified with
an equalizer between products (and analogously for multicoequalizers).
Prove that the limit of any diagram is a multiequalizer (and similarly for colimits).
-/
namespace category_theory.limits
open category_theory
universes v u
/-- The type underlying the multiequalizer diagram. -/
@[nolint unused_arguments]
inductive walking_multicospan {L R : Type v} (fst snd : R → L) : Type v
| left : L → walking_multicospan
| right : R → walking_multicospan
/-- The type underlying the multiecoqualizer diagram. -/
@[nolint unused_arguments]
inductive walking_multispan {L R : Type v} (fst snd : L → R) : Type v
| left : L → walking_multispan
| right : R → walking_multispan
namespace walking_multicospan
variables {L R : Type v} {fst snd : R → L}
instance [inhabited L] : inhabited (walking_multicospan fst snd) :=
⟨left (default _)⟩
/-- Morphisms for `walking_multicospan`. -/
inductive hom : Π (a b : walking_multicospan fst snd), Type v
| id (A) : hom A A
| fst (b) : hom (left (fst b)) (right b)
| snd (b) : hom (left (snd b)) (right b)
instance {a : walking_multicospan fst snd} : inhabited (hom a a) :=
⟨hom.id _⟩
/-- Composition of morphisms for `walking_multicospan`. -/
def hom.comp : Π {A B C : walking_multicospan fst snd} (f : hom A B) (g : hom B C),
hom A C
| _ _ _ (hom.id X) f := f
| _ _ _ (hom.fst b) (hom.id X) := hom.fst b
| _ _ _ (hom.snd b) (hom.id X) := hom.snd b
instance : small_category (walking_multicospan fst snd) :=
{ hom := hom,
id := hom.id,
comp := λ X Y Z, hom.comp,
id_comp' := by { rintro (_|_) (_|_) (_|_|_), tidy },
comp_id' := by { rintro (_|_) (_|_) (_|_|_), tidy },
assoc' := by { rintro (_|_) (_|_) (_|_) (_|_) (_|_|_) (_|_|_) (_|_|_), tidy } }
end walking_multicospan
namespace walking_multispan
variables {L R : Type v} {fst snd : L → R}
instance [inhabited L] : inhabited (walking_multispan fst snd) :=
⟨left (default _)⟩
/-- Morphisms for `walking_multispan`. -/
inductive hom : Π (a b : walking_multispan fst snd), Type v
| id (A) : hom A A
| fst (a) : hom (left a) (right (fst a))
| snd (a) : hom (left a) (right (snd a))
instance {a : walking_multispan fst snd} : inhabited (hom a a) :=
⟨hom.id _⟩
/-- Composition of morphisms for `walking_multispan`. -/
def hom.comp : Π {A B C : walking_multispan fst snd} (f : hom A B) (g : hom B C),
hom A C
| _ _ _ (hom.id X) f := f
| _ _ _ (hom.fst a) (hom.id X) := hom.fst a
| _ _ _ (hom.snd a) (hom.id X) := hom.snd a
instance : small_category (walking_multispan fst snd) :=
{ hom := hom,
id := hom.id,
comp := λ X Y Z, hom.comp,
id_comp' := by { rintro (_|_) (_|_) (_|_|_), tidy },
comp_id' := by { rintro (_|_) (_|_) (_|_|_), tidy },
assoc' := by { rintro (_|_) (_|_) (_|_) (_|_) (_|_|_) (_|_|_) (_|_|_), tidy } }
end walking_multispan
/-- This is a structure encapsulating the data necessary to define a `multicospan`. -/
@[nolint has_inhabited_instance]
structure multicospan_index (C : Type u) [category.{v} C] :=
(L R : Type v)
(fst_to snd_to : R → L)
(left : L → C)
(right : R → C)
(fst : Π b, left (fst_to b) ⟶ right b)
(snd : Π b, left (snd_to b) ⟶ right b)
/-- This is a structure encapsulating the data necessary to define a `multispan`. -/
@[nolint has_inhabited_instance]
structure multispan_index (C : Type u) [category.{v} C] :=
(L R : Type v)
(fst_from snd_from : L → R)
(left : L → C)
(right : R → C)
(fst : Π a, left a ⟶ right (fst_from a))
(snd : Π a, left a ⟶ right (snd_from a))
namespace multicospan_index
variables {C : Type u} [category.{v} C] (I : multicospan_index C)
/-- The multicospan associated to `I : multicospan_index`. -/
def multicospan : walking_multicospan I.fst_to I.snd_to ⥤ C :=
{ obj := λ x,
match x with
| walking_multicospan.left a := I.left a
| walking_multicospan.right b := I.right b
end,
map := λ x y f,
match x, y, f with
| _, _, walking_multicospan.hom.id x := 𝟙 _
| _, _, walking_multicospan.hom.fst b := I.fst _
| _, _, walking_multicospan.hom.snd b := I.snd _
end,
map_id' := by { rintros (_|_), tidy },
map_comp' := by { rintros (_|_) (_|_) (_|_) (_|_|_) (_|_|_), tidy } }
@[simp] lemma multicospan_obj_left (a) :
I.multicospan.obj (walking_multicospan.left a) = I.left a := rfl
@[simp] lemma multicospan_obj_right (b) :
I.multicospan.obj (walking_multicospan.right b) = I.right b := rfl
@[simp] lemma multicospan_map_fst (b) :
I.multicospan.map (walking_multicospan.hom.fst b) = I.fst b := rfl
@[simp] lemma multicospan_map_snd (b) :
I.multicospan.map (walking_multicospan.hom.snd b) = I.snd b := rfl
end multicospan_index
namespace multispan_index
variables {C : Type u} [category.{v} C] (I : multispan_index C)
/-- The multispan associated to `I : multispan_index`. -/
def multispan : walking_multispan I.fst_from I.snd_from ⥤ C :=
{ obj := λ x,
match x with
| walking_multispan.left a := I.left a
| walking_multispan.right b := I.right b
end,
map := λ x y f,
match x, y, f with
| _, _, walking_multispan.hom.id x := 𝟙 _
| _, _, walking_multispan.hom.fst b := I.fst _
| _, _, walking_multispan.hom.snd b := I.snd _
end,
map_id' := by { rintros (_|_), tidy },
map_comp' := by { rintros (_|_) (_|_) (_|_) (_|_|_) (_|_|_), tidy } }
@[simp] lemma multispan_obj_left (a) :
I.multispan.obj (walking_multispan.left a) = I.left a := rfl
@[simp] lemma multispan_obj_right (b) :
I.multispan.obj (walking_multispan.right b) = I.right b := rfl
@[simp] lemma multispan_map_fst (a) :
I.multispan.map (walking_multispan.hom.fst a) = I.fst a := rfl
@[simp] lemma multispan_map_snd (a) :
I.multispan.map (walking_multispan.hom.snd a) = I.snd a := rfl
end multispan_index
variables {C : Type u} [category.{v} C]
/-- A multifork is a cone over a multicospan. -/
@[nolint has_inhabited_instance]
def multifork (I : multicospan_index C) := cone I.multicospan
/-- A multicofork is a cocone over a multispan. -/
@[nolint has_inhabited_instance]
def multicofork (I : multispan_index C) := cocone I.multispan
namespace multifork
variables {I : multicospan_index C} (K : multifork I)
/-- The maps from the cone point of a multifork to the objects on the left. -/
def ι (a : I.L) : K.X ⟶ I.left a :=
K.π.app (walking_multicospan.left _)
@[simp] lemma ι_eq_app_left (a) : K.ι a = K.π.app (walking_multicospan.left _) := rfl
@[simp] lemma app_left_fst (b) :
K.π.app (walking_multicospan.left (I.fst_to b)) ≫ I.fst b =
K.π.app (walking_multicospan.right b) :=
by { rw ← K.w (walking_multicospan.hom.fst b), refl }
@[simp] lemma app_left_snd (b) :
K.π.app (walking_multicospan.left (I.snd_to b)) ≫ I.snd b =
K.π.app (walking_multicospan.right b) :=
by { rw ← K.w (walking_multicospan.hom.snd b), refl }
/-- Construct a multifork using a collection `ι` of morphisms. -/
@[simps]
def of_ι (I : multicospan_index C) (P : C) (ι : Π a, P ⟶ I.left a)
(w : ∀ b, ι (I.fst_to b) ≫ I.fst b = ι (I.snd_to b) ≫ I.snd b) :
multifork I :=
{ X := P,
π :=
{ app := λ x,
match x with
| walking_multicospan.left a := ι _
| walking_multicospan.right b := ι (I.fst_to b) ≫ I.fst b
end,
naturality' := begin
rintros (_|_) (_|_) (_|_|_),
any_goals { symmetry, dsimp, rw category.id_comp, apply category.comp_id },
{ dsimp, rw category.id_comp, refl },
{ dsimp, rw category.id_comp, apply w }
end } }
@[reassoc]
lemma condition (b) :
K.ι (I.fst_to b) ≫ I.fst b = K.ι (I.snd_to b) ≫ I.snd b := by simp
end multifork
namespace multicofork
variables {I : multispan_index C} (K : multicofork I)
/-- The maps to the cocone point of a multicofork from the objects on the right. -/
def π (b : I.R) : I.right b ⟶ K.X :=
K.ι.app (walking_multispan.right _)
@[simp] lemma π_eq_app_right (b) : K.π b = K.ι.app (walking_multispan.right _) := rfl
@[simp] lemma fst_app_right (a) :
I.fst a ≫ K.ι.app (walking_multispan.right (I.fst_from a)) =
K.ι.app (walking_multispan.left a) :=
by { rw ← K.w (walking_multispan.hom.fst a), refl }
@[simp] lemma snd_app_right (a) :
I.snd a ≫ K.ι.app (walking_multispan.right (I.snd_from a)) =
K.ι.app (walking_multispan.left a) :=
by { rw ← K.w (walking_multispan.hom.snd a), refl }
/-- Construct a multicofork using a collection `π` of morphisms. -/
@[simps]
def of_π (I : multispan_index C) (P : C) (π : Π b, I.right b ⟶ P)
(w : ∀ a, I.fst a ≫ π (I.fst_from a) = I.snd a ≫ π (I.snd_from a)) :
multicofork I :=
{ X := P,
ι :=
{ app := λ x,
match x with
| walking_multispan.left a := I.fst a ≫ π _
| walking_multispan.right b := π _
end,
naturality' := begin
rintros (_|_) (_|_) (_|_|_),
any_goals { dsimp, rw category.comp_id, apply category.id_comp },
{ dsimp, rw category.comp_id, refl },
{ dsimp, rw category.comp_id, apply (w _).symm }
end } }
@[reassoc]
lemma condition (a) :
I.fst a ≫ K.π (I.fst_from a) = I.snd a ≫ K.π (I.snd_from a) := by simp
end multicofork
/-- For `I : multicospan_index C`, we say that it has a multiequalizer if the associated
multicospan has a limit. -/
abbreviation has_multiequalizer (I : multicospan_index C) :=
has_limit I.multicospan
noncomputable theory
/-- The multiequalizer of `I : multicospan_index C`. -/
abbreviation multiequalizer (I : multicospan_index C) [has_multiequalizer I] : C :=
limit I.multicospan
/-- For `I : multispan_index C`, we say that it has a multicoequalizer if
the associated multicospan has a limit. -/
abbreviation has_multicoequalizer (I : multispan_index C) :=
has_colimit I.multispan
/-- The multiecoqualizer of `I : multispan_index C`. -/
abbreviation multicoequalizer (I : multispan_index C) [has_multicoequalizer I] : C :=
colimit I.multispan
namespace multiequalizer
variables (I : multicospan_index C) [has_multiequalizer I]
/-- The canonical map from the multiequalizer to the objects on the left. -/
abbreviation ι (a : I.L) : multiequalizer I ⟶ I.left a :=
limit.π _ (walking_multicospan.left a)
/-- The multifork associated to the multiequalizer. -/
abbreviation multifork : multifork I :=
limit.cone _
@[simp]
lemma multifork_ι (a) :
(multiequalizer.multifork I).ι a = multiequalizer.ι I a := rfl
@[simp]
lemma multifork_π_app_left (a) :
(multiequalizer.multifork I).π.app (walking_multicospan.left a) =
multiequalizer.ι I a := rfl
@[reassoc]
lemma condition (b) :
multiequalizer.ι I (I.fst_to b) ≫ I.fst b =
multiequalizer.ι I (I.snd_to b) ≫ I.snd b :=
multifork.condition _ _
/-- Construct a morphism to the multiequalizer from its universal property. -/
abbreviation lift (W : C) (k : Π a, W ⟶ I.left a)
(h : ∀ b, k (I.fst_to b) ≫ I.fst b = k (I.snd_to b) ≫ I.snd b) :
W ⟶ multiequalizer I :=
limit.lift _ (multifork.of_ι I _ k h)
@[simp, reassoc]
lemma lift_ι (W : C) (k : Π a, W ⟶ I.left a)
(h : ∀ b, k (I.fst_to b) ≫ I.fst b = k (I.snd_to b) ≫ I.snd b) (a) :
multiequalizer.lift I _ k h ≫ multiequalizer.ι I a = k _ :=
limit.lift_π _ _
@[ext]
lemma hom_ext {W : C} (i j : W ⟶ multiequalizer I)
(h : ∀ a, i ≫ multiequalizer.ι I a =
j ≫ multiequalizer.ι I a) :
i = j :=
limit.hom_ext
begin
rintro (a|b),
{ apply h },
simp_rw [← limit.w I.multicospan (walking_multicospan.hom.fst b),
← category.assoc, h],
end
end multiequalizer
namespace multicoequalizer
variables (I : multispan_index C) [has_multicoequalizer I]
/-- The canonical map from the multiequalizer to the objects on the left. -/
abbreviation π (b : I.R) : I.right b ⟶ multicoequalizer I :=
colimit.ι I.multispan (walking_multispan.right _)
/-- The multicofork associated to the multicoequalizer. -/
abbreviation multicofork : multicofork I :=
colimit.cocone _
@[simp]
lemma multicofork_π (b) :
(multicoequalizer.multicofork I).π b = multicoequalizer.π I b := rfl
@[simp]
lemma multicofork_ι_app_right (b) :
(multicoequalizer.multicofork I).ι.app (walking_multispan.right b) =
multicoequalizer.π I b := rfl
@[reassoc]
lemma condition (a) :
I.fst a ≫ multicoequalizer.π I (I.fst_from a) =
I.snd a ≫ multicoequalizer.π I (I.snd_from a) :=
multicofork.condition _ _
/-- Construct a morphism from the multicoequalizer from its universal property. -/
abbreviation desc (W : C) (k : Π b, I.right b ⟶ W)
(h : ∀ a, I.fst a ≫ k (I.fst_from a) = I.snd a ≫ k (I.snd_from a)) :
multicoequalizer I ⟶ W :=
colimit.desc _ (multicofork.of_π I _ k h)
@[simp, reassoc]
lemma π_desc (W : C) (k : Π b, I.right b ⟶ W)
(h : ∀ a, I.fst a ≫ k (I.fst_from a) = I.snd a ≫ k (I.snd_from a)) (b) :
multicoequalizer.π I b ≫ multicoequalizer.desc I _ k h = k _ :=
colimit.ι_desc _ _
@[ext]
lemma hom_ext {W : C} (i j : multicoequalizer I ⟶ W)
(h : ∀ b, multicoequalizer.π I b ≫ i = multicoequalizer.π I b ≫ j) :
i = j :=
colimit.hom_ext
begin
rintro (a|b),
{ simp_rw [← colimit.w I.multispan (walking_multispan.hom.fst a),
category.assoc, h] },
{ apply h },
end
end multicoequalizer
end category_theory.limits
|
3dafd75e888542cedee39410319e9031b7e6676f | bbecf0f1968d1fba4124103e4f6b55251d08e9c4 | /src/topology/uniform_space/basic.lean | bb4e5293a6b43f7fc743b8e76858fc39b634c319 | [
"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 | 70,747 | lean | /-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot
-/
import order.filter.lift
import topology.separation
/-!
# Uniform spaces
Uniform spaces are a generalization of metric spaces and topological groups. Many concepts directly
generalize to uniform spaces, e.g.
* uniform continuity (in this file)
* completeness (in `cauchy.lean`)
* extension of uniform continuous functions to complete spaces (in `uniform_embedding.lean`)
* totally bounded sets (in `cauchy.lean`)
* totally bounded complete sets are compact (in `cauchy.lean`)
A uniform structure on a type `X` is a filter `𝓤 X` on `X × X` satisfying some conditions
which makes it reasonable to say that `∀ᶠ (p : X × X) in 𝓤 X, ...` means
"for all p.1 and p.2 in X close enough, ...". Elements of this filter are called entourages
of `X`. The two main examples are:
* If `X` is a metric space, `V ∈ 𝓤 X ↔ ∃ ε > 0, { p | dist p.1 p.2 < ε } ⊆ V`
* If `G` is an additive topological group, `V ∈ 𝓤 G ↔ ∃ U ∈ 𝓝 (0 : G), {p | p.2 - p.1 ∈ U} ⊆ V`
Those examples are generalizations in two different directions of the elementary example where
`X = ℝ` and `V ∈ 𝓤 ℝ ↔ ∃ ε > 0, { p | |p.2 - p.1| < ε } ⊆ V` which features both the topological
group structure on `ℝ` and its metric space structure.
Each uniform structure on `X` induces a topology on `X` characterized by
> `nhds_eq_comap_uniformity : ∀ {x : X}, 𝓝 x = comap (prod.mk x) (𝓤 X)`
where `prod.mk x : X → X × X := (λ y, (x, y))` is the partial evaluation of the product
constructor.
The dictionary with metric spaces includes:
* an upper bound for `dist x y` translates into `(x, y) ∈ V` for some `V ∈ 𝓤 X`
* a ball `ball x r` roughly corresponds to `uniform_space.ball x V := {y | (x, y) ∈ V}`
for some `V ∈ 𝓤 X`, but the later is more general (it includes in
particular both open and closed balls for suitable `V`).
In particular we have:
`is_open_iff_ball_subset {s : set X} : is_open s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 X, ball x V ⊆ s`
The triangle inequality is abstracted to a statement involving the composition of relations in `X`.
First note that the triangle inequality in a metric space is equivalent to
`∀ (x y z : X) (r r' : ℝ), dist x y ≤ r → dist y z ≤ r' → dist x z ≤ r + r'`.
Then, for any `V` and `W` with type `set (X × X)`, the composition `V ○ W : set (X × X)` is
defined as `{ p : X × X | ∃ z, (p.1, z) ∈ V ∧ (z, p.2) ∈ W }`.
In the metric space case, if `V = { p | dist p.1 p.2 ≤ r }` and `W = { p | dist p.1 p.2 ≤ r' }`
then the triangle inequality, as reformulated above, says `V ○ W` is contained in
`{p | dist p.1 p.2 ≤ r + r'}` which is the entourage associated to the radius `r + r'`.
In general we have `mem_ball_comp (h : y ∈ ball x V) (h' : z ∈ ball y W) : z ∈ ball x (V ○ W)`.
Note that this discussion does not depend on any axiom imposed on the uniformity filter,
it is simply captured by the definition of composition.
The uniform space axioms ask the filter `𝓤 X` to satisfy the following:
* every `V ∈ 𝓤 X` contains the diagonal `id_rel = { p | p.1 = p.2 }`. This abstracts the fact
that `dist x x ≤ r` for every non-negative radius `r` in the metric space case and also that
`x - x` belongs to every neighborhood of zero in the topological group case.
* `V ∈ 𝓤 X → prod.swap '' V ∈ 𝓤 X`. This is tightly related the fact that `dist x y = dist y x`
in a metric space, and to continuity of negation in the topological group case.
* `∀ V ∈ 𝓤 X, ∃ W ∈ 𝓤 X, W ○ W ⊆ V`. In the metric space case, it corresponds
to cutting the radius of a ball in half and applying the triangle inequality.
In the topological group case, it comes from continuity of addition at `(0, 0)`.
These three axioms are stated more abstractly in the definition below, in terms of
operations on filters, without directly manipulating entourages.
## Main definitions
* `uniform_space X` is a uniform space structure on a type `X`
* `uniform_continuous f` is a predicate saying a function `f : α → β` between uniform spaces
is uniformly continuous : `∀ r ∈ 𝓤 β, ∀ᶠ (x : α × α) in 𝓤 α, (f x.1, f x.2) ∈ r`
In this file we also define a complete lattice structure on the type `uniform_space X`
of uniform structures on `X`, as well as the pullback (`uniform_space.comap`) of uniform structures
coming from the pullback of filters.
Like distance functions, uniform structures cannot be pushed forward in general.
## Notations
Localized in `uniformity`, we have the notation `𝓤 X` for the uniformity on a uniform space `X`,
and `○` for composition of relations, seen as terms with type `set (X × X)`.
## Implementation notes
There is already a theory of relations in `data/rel.lean` where the main definition is
`def rel (α β : Type*) := α → β → Prop`.
The relations used in the current file involve only one type, but this is not the reason why
we don't reuse `data/rel.lean`. We use `set (α × α)`
instead of `rel α α` because we really need sets to use the filter library, and elements
of filters on `α × α` have type `set (α × α)`.
The structure `uniform_space X` bundles a uniform structure on `X`, a topology on `X` and
an assumption saying those are compatible. This may not seem mathematically reasonable at first,
but is in fact an instance of the forgetful inheritance pattern. See Note [forgetful inheritance]
below.
## References
The formalization uses the books:
* [N. Bourbaki, *General Topology*][bourbaki1966]
* [I. M. James, *Topologies and Uniformities*][james1999]
But it makes a more systematic use of the filter library.
-/
open set filter classical
open_locale classical topological_space filter
set_option eqn_compiler.zeta true
universes u
/-!
### Relations, seen as `set (α × α)`
-/
variables {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} {ι : Sort*}
/-- The identity relation, or the graph of the identity function -/
def id_rel {α : Type*} := {p : α × α | p.1 = p.2}
@[simp] theorem mem_id_rel {a b : α} : (a, b) ∈ @id_rel α ↔ a = b := iff.rfl
@[simp] theorem id_rel_subset {s : set (α × α)} : id_rel ⊆ s ↔ ∀ a, (a, a) ∈ s :=
by simp [subset_def]; exact forall_congr (λ a, by simp)
/-- The composition of relations -/
def comp_rel {α : Type u} (r₁ r₂ : set (α×α)) := {p : α × α | ∃z:α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂}
localized "infix ` ○ `:55 := comp_rel" in uniformity
@[simp] theorem mem_comp_rel {r₁ r₂ : set (α×α)}
{x y : α} : (x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ := iff.rfl
@[simp] theorem swap_id_rel : prod.swap '' id_rel = @id_rel α :=
set.ext $ assume ⟨a, b⟩, by simp [image_swap_eq_preimage_swap]; exact eq_comm
theorem monotone_comp_rel [preorder β] {f g : β → set (α×α)}
(hf : monotone f) (hg : monotone g) : monotone (λx, (f x) ○ (g x)) :=
assume a b h p ⟨z, h₁, h₂⟩, ⟨z, hf h h₁, hg h h₂⟩
@[mono]
lemma comp_rel_mono {f g h k: set (α×α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k :=
λ ⟨x, y⟩ ⟨z, h, h'⟩, ⟨z, h₁ h, h₂ h'⟩
lemma prod_mk_mem_comp_rel {a b c : α} {s t : set (α×α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) :
(a, b) ∈ s ○ t :=
⟨c, h₁, h₂⟩
@[simp] lemma id_comp_rel {r : set (α×α)} : id_rel ○ r = r :=
set.ext $ assume ⟨a, b⟩, by simp
lemma comp_rel_assoc {r s t : set (α×α)} :
(r ○ s) ○ t = r ○ (s ○ t) :=
by ext p; cases p; simp only [mem_comp_rel]; tauto
lemma subset_comp_self {α : Type*} {s : set (α × α)} (h : id_rel ⊆ s) : s ⊆ s ○ s :=
λ ⟨x, y⟩ xy_in, ⟨x, h (by rw mem_id_rel), xy_in⟩
/-- The relation is invariant under swapping factors. -/
def symmetric_rel (V : set (α × α)) : Prop := prod.swap ⁻¹' V = V
/-- The maximal symmetric relation contained in a given relation. -/
def symmetrize_rel (V : set (α × α)) : set (α × α) := V ∩ prod.swap ⁻¹' V
lemma symmetric_symmetrize_rel (V : set (α × α)) : symmetric_rel (symmetrize_rel V) :=
by simp [symmetric_rel, symmetrize_rel, preimage_inter, inter_comm, ← preimage_comp]
lemma symmetrize_rel_subset_self (V : set (α × α)) : symmetrize_rel V ⊆ V :=
sep_subset _ _
@[mono]
lemma symmetrize_mono {V W: set (α × α)} (h : V ⊆ W) : symmetrize_rel V ⊆ symmetrize_rel W :=
inter_subset_inter h $ preimage_mono h
lemma symmetric_rel_inter {U V : set (α × α)} (hU : symmetric_rel U) (hV : symmetric_rel V) :
symmetric_rel (U ∩ V) :=
begin
unfold symmetric_rel at *,
rw [preimage_inter, hU, hV],
end
/-- This core description of a uniform space is outside of the type class hierarchy. It is useful
for constructions of uniform spaces, when the topology is derived from the uniform space. -/
structure uniform_space.core (α : Type u) :=
(uniformity : filter (α × α))
(refl : 𝓟 id_rel ≤ uniformity)
(symm : tendsto prod.swap uniformity uniformity)
(comp : uniformity.lift' (λs, s ○ s) ≤ uniformity)
/-- An alternative constructor for `uniform_space.core`. This version unfolds various
`filter`-related definitions. -/
def uniform_space.core.mk' {α : Type u} (U : filter (α × α))
(refl : ∀ (r ∈ U) x, (x, x) ∈ r)
(symm : ∀ r ∈ U, prod.swap ⁻¹' r ∈ U)
(comp : ∀ r ∈ U, ∃ t ∈ U, t ○ t ⊆ r) : uniform_space.core α :=
⟨U, λ r ru, id_rel_subset.2 (refl _ ru), symm,
begin
intros r ru,
rw [mem_lift'_sets],
exact comp _ ru,
apply monotone_comp_rel; exact monotone_id,
end⟩
/-- A uniform space generates a topological space -/
def uniform_space.core.to_topological_space {α : Type u} (u : uniform_space.core α) :
topological_space α :=
{ is_open := λs, ∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ u.uniformity,
is_open_univ := by simp; intro; exact univ_mem,
is_open_inter :=
assume s t hs ht x ⟨xs, xt⟩, by filter_upwards [hs x xs, ht x xt]; simp {contextual := tt},
is_open_sUnion :=
assume s hs x ⟨t, ts, xt⟩, by filter_upwards [hs t ts x xt] assume p ph h, ⟨t, ts, ph h⟩ }
lemma uniform_space.core_eq :
∀{u₁ u₂ : uniform_space.core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| ⟨u₁, _, _, _⟩ ⟨u₂, _, _, _⟩ h := by { congr, exact h }
-- the topological structure is embedded in the uniform structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
/-- A uniform space is a generalization of the "uniform" topological aspects of a
metric space. It consists of a filter on `α × α` called the "uniformity", which
satisfies properties analogous to the reflexivity, symmetry, and triangle properties
of a metric.
A metric space has a natural uniformity, and a uniform space has a natural topology.
A topological group also has a natural uniformity, even when it is not metrizable. -/
class uniform_space (α : Type u) extends topological_space α, uniform_space.core α :=
(is_open_uniformity : ∀s, is_open s ↔ (∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ uniformity))
/-- Alternative constructor for `uniform_space α` when a topology is already given. -/
@[pattern] def uniform_space.mk' {α} (t : topological_space α)
(c : uniform_space.core α)
(is_open_uniformity : ∀s:set α, t.is_open s ↔
(∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ c.uniformity)) :
uniform_space α := ⟨c, is_open_uniformity⟩
/-- Construct a `uniform_space` from a `uniform_space.core`. -/
def uniform_space.of_core {α : Type u} (u : uniform_space.core α) : uniform_space α :=
{ to_core := u,
to_topological_space := u.to_topological_space,
is_open_uniformity := assume a, iff.rfl }
/-- Construct a `uniform_space` from a `u : uniform_space.core` and a `topological_space` structure
that is equal to `u.to_topological_space`. -/
def uniform_space.of_core_eq {α : Type u} (u : uniform_space.core α) (t : topological_space α)
(h : t = u.to_topological_space) : uniform_space α :=
{ to_core := u,
to_topological_space := t,
is_open_uniformity := assume a, h.symm ▸ iff.rfl }
lemma uniform_space.to_core_to_topological_space (u : uniform_space α) :
u.to_core.to_topological_space = u.to_topological_space :=
topological_space_eq $ funext $ assume s,
by rw [uniform_space.core.to_topological_space, uniform_space.is_open_uniformity]
@[ext]
lemma uniform_space_eq : ∀{u₁ u₂ : uniform_space α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| (uniform_space.mk' t₁ u₁ o₁) (uniform_space.mk' t₂ u₂ o₂) h :=
have u₁ = u₂, from uniform_space.core_eq h,
have t₁ = t₂, from topological_space_eq $ funext $ assume s, by rw [o₁, o₂]; simp [this],
by simp [*]
lemma uniform_space.of_core_eq_to_core
(u : uniform_space α) (t : topological_space α) (h : t = u.to_core.to_topological_space) :
uniform_space.of_core_eq u.to_core t h = u :=
uniform_space_eq rfl
section uniform_space
variables [uniform_space α]
/-- The uniformity is a filter on α × α (inferred from an ambient uniform space
structure on α). -/
def uniformity (α : Type u) [uniform_space α] : filter (α × α) :=
(@uniform_space.to_core α _).uniformity
localized "notation `𝓤` := uniformity" in uniformity
lemma is_open_uniformity {s : set α} :
is_open s ↔ (∀x∈s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α) :=
uniform_space.is_open_uniformity s
lemma refl_le_uniformity : 𝓟 id_rel ≤ 𝓤 α :=
(@uniform_space.to_core α _).refl
lemma refl_mem_uniformity {x : α} {s : set (α × α)} (h : s ∈ 𝓤 α) :
(x, x) ∈ s :=
refl_le_uniformity h rfl
lemma mem_uniformity_of_eq {x y : α} {s : set (α × α)} (h : s ∈ 𝓤 α) (hx : x = y) :
(x, y) ∈ s :=
hx ▸ refl_mem_uniformity h
lemma symm_le_uniformity : map (@prod.swap α α) (𝓤 _) ≤ (𝓤 _) :=
(@uniform_space.to_core α _).symm
lemma comp_le_uniformity : (𝓤 α).lift' (λs:set (α×α), s ○ s) ≤ 𝓤 α :=
(@uniform_space.to_core α _).comp
lemma tendsto_swap_uniformity : tendsto (@prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
lemma comp_mem_uniformity_sets {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, t ○ t ⊆ s :=
have s ∈ (𝓤 α).lift' (λt:set (α×α), t ○ t),
from comp_le_uniformity hs,
(mem_lift'_sets $ monotone_comp_rel monotone_id monotone_id).mp this
/-- Relation `λ f g, tendsto (λ x, (f x, g x)) l (𝓤 α)` is transitive. -/
lemma filter.tendsto.uniformity_trans {l : filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : tendsto (λ x, (f₁ x, f₂ x)) l (𝓤 α)) (h₂₃ : tendsto (λ x, (f₂ x, f₃ x)) l (𝓤 α)) :
tendsto (λ x, (f₁ x, f₃ x)) l (𝓤 α) :=
begin
refine le_trans (le_lift' $ λ s hs, mem_map.2 _) comp_le_uniformity,
filter_upwards [h₁₂ hs, h₂₃ hs],
exact λ x hx₁₂ hx₂₃, ⟨_, hx₁₂, hx₂₃⟩
end
/-- Relation `λ f g, tendsto (λ x, (f x, g x)) l (𝓤 α)` is symmetric -/
lemma filter.tendsto.uniformity_symm {l : filter β} {f : β → α × α}
(h : tendsto f l (𝓤 α)) :
tendsto (λ x, ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
/-- Relation `λ f g, tendsto (λ x, (f x, g x)) l (𝓤 α)` is reflexive. -/
lemma tendsto_diag_uniformity (f : β → α) (l : filter β) :
tendsto (λ x, (f x, f x)) l (𝓤 α) :=
assume s hs, mem_map.2 $ univ_mem' $ λ x, refl_mem_uniformity hs
lemma tendsto_const_uniformity {a : α} {f : filter β} : tendsto (λ _, (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (λ _, a) f
lemma symm_of_uniformity {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have preimage prod.swap s ∈ 𝓤 α, from symm_le_uniformity hs,
⟨s ∩ preimage prod.swap s, inter_mem hs this, λ a b ⟨h₁, h₂⟩, ⟨h₂, h₁⟩, inter_subset_left _ _⟩
lemma comp_symm_of_uniformity {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀{a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s :=
let ⟨t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs in
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁ in
⟨t', ht', ht'₁, subset.trans (monotone_comp_rel monotone_id monotone_id ht'₂) ht₂⟩
lemma uniformity_le_symm : 𝓤 α ≤ (@prod.swap α α) <$> 𝓤 α :=
by rw [map_swap_eq_comap_swap];
from map_le_iff_le_comap.1 tendsto_swap_uniformity
lemma uniformity_eq_symm : 𝓤 α = (@prod.swap α α) <$> 𝓤 α :=
le_antisymm uniformity_le_symm symm_le_uniformity
lemma symmetrize_mem_uniformity {V : set (α × α)} (h : V ∈ 𝓤 α) : symmetrize_rel V ∈ 𝓤 α :=
begin
apply (𝓤 α).inter_sets h,
rw [← image_swap_eq_preimage_swap, uniformity_eq_symm],
exact image_mem_map h,
end
theorem uniformity_lift_le_swap {g : set (α×α) → filter β} {f : filter β} (hg : monotone g)
(h : (𝓤 α).lift (λs, g (preimage prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f :=
calc (𝓤 α).lift g ≤ (filter.map (@prod.swap α α) $ 𝓤 α).lift g :
lift_mono uniformity_le_symm (le_refl _)
... ≤ _ :
by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h
lemma uniformity_lift_le_comp {f : set (α×α) → filter β} (h : monotone f) :
(𝓤 α).lift (λs, f (s ○ s)) ≤ (𝓤 α).lift f :=
calc (𝓤 α).lift (λs, f (s ○ s)) =
((𝓤 α).lift' (λs:set (α×α), s ○ s)).lift f :
begin
rw [lift_lift'_assoc],
exact monotone_comp_rel monotone_id monotone_id,
exact h
end
... ≤ (𝓤 α).lift f : lift_mono comp_le_uniformity (le_refl _)
lemma comp_le_uniformity3 :
(𝓤 α).lift' (λs:set (α×α), s ○ (s ○ s)) ≤ (𝓤 α) :=
calc (𝓤 α).lift' (λd, d ○ (d ○ d)) =
(𝓤 α).lift (λs, (𝓤 α).lift' (λt:set(α×α), s ○ (t ○ t))) :
begin
rw [lift_lift'_same_eq_lift'],
exact (assume x, monotone_comp_rel monotone_const $ monotone_comp_rel monotone_id monotone_id),
exact (assume x, monotone_comp_rel monotone_id monotone_const),
end
... ≤ (𝓤 α).lift (λs, (𝓤 α).lift' (λt:set(α×α), s ○ t)) :
lift_mono' $ assume s hs, @uniformity_lift_le_comp α _ _ (𝓟 ∘ (○) s) $
monotone_principal.comp (monotone_comp_rel monotone_const monotone_id)
... = (𝓤 α).lift' (λs:set(α×α), s ○ s) :
lift_lift'_same_eq_lift'
(assume s, monotone_comp_rel monotone_const monotone_id)
(assume s, monotone_comp_rel monotone_id monotone_const)
... ≤ (𝓤 α) : comp_le_uniformity
lemma comp_symm_mem_uniformity_sets {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, symmetric_rel t ∧ t ○ t ⊆ s :=
begin
obtain ⟨w, w_in, w_sub⟩ : ∃ w ∈ 𝓤 α, w ○ w ⊆ s := comp_mem_uniformity_sets hs,
use [symmetrize_rel w, symmetrize_mem_uniformity w_in, symmetric_symmetrize_rel w],
have : symmetrize_rel w ⊆ w := symmetrize_rel_subset_self w,
calc symmetrize_rel w ○ symmetrize_rel w ⊆ w ○ w : by mono
... ⊆ s : w_sub,
end
lemma subset_comp_self_of_mem_uniformity {s : set (α × α)} (h : s ∈ 𝓤 α) : s ⊆ s ○ s :=
subset_comp_self (refl_le_uniformity h)
lemma comp_comp_symm_mem_uniformity_sets {s : set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, symmetric_rel t ∧ t ○ t ○ t ⊆ s :=
begin
rcases comp_symm_mem_uniformity_sets hs with ⟨w, w_in, w_symm, w_sub⟩,
rcases comp_symm_mem_uniformity_sets w_in with ⟨t, t_in, t_symm, t_sub⟩,
use [t, t_in, t_symm],
have : t ⊆ t ○ t := subset_comp_self_of_mem_uniformity t_in,
calc
t ○ t ○ t ⊆ w ○ t : by mono
... ⊆ w ○ (t ○ t) : by mono
... ⊆ w ○ w : by mono
... ⊆ s : w_sub,
end
/-!
### Balls in uniform spaces
-/
/-- The ball around `(x : β)` with respect to `(V : set (β × β))`. Intended to be
used for `V ∈ 𝓤 β`, but this is not needed for the definition. Recovers the
notions of metric space ball when `V = {p | dist p.1 p.2 < r }`. -/
def uniform_space.ball (x : β) (V : set (β × β)) : set β := (prod.mk x) ⁻¹' V
open uniform_space (ball)
lemma uniform_space.mem_ball_self (x : α) {V : set (α × α)} (hV : V ∈ 𝓤 α) :
x ∈ ball x V :=
refl_mem_uniformity hV
/-- The triangle inequality for `uniform_space.ball` -/
lemma mem_ball_comp {V W : set (β × β)} {x y z} (h : y ∈ ball x V) (h' : z ∈ ball y W) :
z ∈ ball x (V ○ W) :=
prod_mk_mem_comp_rel h h'
lemma ball_subset_of_comp_subset {V W : set (β × β)} {x y} (h : x ∈ ball y W) (h' : W ○ W ⊆ V) :
ball x W ⊆ ball y V :=
λ z z_in, h' (mem_ball_comp h z_in)
lemma ball_mono {V W : set (β × β)} (h : V ⊆ W) (x : β) : ball x V ⊆ ball x W :=
by tauto
lemma ball_inter_left (x : β) (V W : set (β × β)) : ball x (V ∩ W) ⊆ ball x V :=
ball_mono (inter_subset_left V W) x
lemma ball_inter_right (x : β) (V W : set (β × β)) : ball x (V ∩ W) ⊆ ball x W :=
ball_mono (inter_subset_right V W) x
lemma mem_ball_symmetry {V : set (β × β)} (hV : symmetric_rel V) {x y} :
x ∈ ball y V ↔ y ∈ ball x V :=
show (x, y) ∈ prod.swap ⁻¹' V ↔ (x, y) ∈ V, by { unfold symmetric_rel at hV, rw hV }
lemma ball_eq_of_symmetry {V : set (β × β)} (hV : symmetric_rel V) {x} :
ball x V = {y | (y, x) ∈ V} :=
by { ext y, rw mem_ball_symmetry hV, exact iff.rfl }
lemma mem_comp_of_mem_ball {V W : set (β × β)} {x y z : β} (hV : symmetric_rel V)
(hx : x ∈ ball z V) (hy : y ∈ ball z W) : (x, y) ∈ V ○ W :=
begin
rw mem_ball_symmetry hV at hx,
exact ⟨z, hx, hy⟩
end
lemma uniform_space.is_open_ball (x : α) {V : set (α × α)} (hV : is_open V) :
is_open (ball x V) :=
hV.preimage $ continuous_const.prod_mk continuous_id
lemma mem_comp_comp {V W M : set (β × β)} (hW' : symmetric_rel W) {p : β × β} :
p ∈ V ○ M ○ W ↔ ((ball p.1 V).prod (ball p.2 W) ∩ M).nonempty :=
begin
cases p with x y,
split,
{ rintros ⟨z, ⟨w, hpw, hwz⟩, hzy⟩,
exact ⟨(w, z), ⟨hpw, by rwa mem_ball_symmetry hW'⟩, hwz⟩, },
{ rintro ⟨⟨w, z⟩, ⟨w_in, z_in⟩, hwz⟩,
rwa mem_ball_symmetry hW' at z_in,
use [z, w] ; tauto },
end
/-!
### Neighborhoods in uniform spaces
-/
lemma mem_nhds_uniformity_iff_right {x : α} {s : set α} :
s ∈ 𝓝 x ↔ {p : α × α | p.1 = x → p.2 ∈ s} ∈ 𝓤 α :=
⟨ begin
simp only [mem_nhds_iff, is_open_uniformity, and_imp, exists_imp_distrib],
exact assume t ts ht xt, by filter_upwards [ht x xt] assume ⟨x', y⟩ h eq, ts $ h eq
end,
assume hs,
mem_nhds_iff.mpr ⟨{x | {p : α × α | p.1 = x → p.2 ∈ s} ∈ 𝓤 α},
assume x' hx', refl_mem_uniformity hx' rfl,
is_open_uniformity.mpr $ assume x' hx',
let ⟨t, ht, tr⟩ := comp_mem_uniformity_sets hx' in
by filter_upwards [ht] assume ⟨a, b⟩ hp' (hax' : a = x'),
by filter_upwards [ht] assume ⟨a, b'⟩ hp'' (hab : a = b),
have hp : (x', b) ∈ t, from hax' ▸ hp',
have (b, b') ∈ t, from hab ▸ hp'',
have (x', b') ∈ t ○ t, from ⟨b, hp, this⟩,
show b' ∈ s,
from tr this rfl,
hs⟩⟩
lemma mem_nhds_uniformity_iff_left {x : α} {s : set α} :
s ∈ 𝓝 x ↔ {p : α × α | p.2 = x → p.1 ∈ s} ∈ 𝓤 α :=
by { rw [uniformity_eq_symm, mem_nhds_uniformity_iff_right], refl }
lemma nhds_eq_comap_uniformity_aux {α : Type u} {x : α} {s : set α} {F : filter (α × α)} :
{p : α × α | p.fst = x → p.snd ∈ s} ∈ F ↔ s ∈ comap (prod.mk x) F :=
by rw mem_comap ; from iff.intro
(assume hs, ⟨_, hs, assume x hx, hx rfl⟩)
(assume ⟨t, h, ht⟩, F.sets_of_superset h $
assume ⟨p₁, p₂⟩ hp (h : p₁ = x), ht $ by simp [h.symm, hp])
lemma nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (prod.mk x) :=
by { ext s, rw [mem_nhds_uniformity_iff_right], exact nhds_eq_comap_uniformity_aux }
/-- See also `is_open_iff_open_ball_subset`. -/
lemma is_open_iff_ball_subset {s : set α} : is_open s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 α, ball x V ⊆ s :=
begin
simp_rw [is_open_iff_mem_nhds, nhds_eq_comap_uniformity],
exact iff.rfl,
end
lemma nhds_basis_uniformity' {p : ι → Prop} {s : ι → set (α × α)} (h : (𝓤 α).has_basis p s)
{x : α} :
(𝓝 x).has_basis p (λ i, ball x (s i)) :=
by { rw [nhds_eq_comap_uniformity], exact h.comap (prod.mk x) }
lemma nhds_basis_uniformity {p : ι → Prop} {s : ι → set (α × α)} (h : (𝓤 α).has_basis p s) {x : α} :
(𝓝 x).has_basis p (λ i, {y | (y, x) ∈ s i}) :=
begin
replace h := h.comap prod.swap,
rw [← map_swap_eq_comap_swap, ← uniformity_eq_symm] at h,
exact nhds_basis_uniformity' h
end
lemma uniform_space.mem_nhds_iff {x : α} {s : set α} : s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, ball x V ⊆ s :=
begin
rw [nhds_eq_comap_uniformity, mem_comap],
exact iff.rfl,
end
lemma uniform_space.ball_mem_nhds (x : α) ⦃V : set (α × α)⦄ (V_in : V ∈ 𝓤 α) : ball x V ∈ 𝓝 x :=
begin
rw uniform_space.mem_nhds_iff,
exact ⟨V, V_in, subset.refl _⟩
end
lemma uniform_space.mem_nhds_iff_symm {x : α} {s : set α} :
s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, symmetric_rel V ∧ ball x V ⊆ s :=
begin
rw uniform_space.mem_nhds_iff,
split,
{ rintros ⟨V, V_in, V_sub⟩,
use [symmetrize_rel V, symmetrize_mem_uniformity V_in, symmetric_symmetrize_rel V],
exact subset.trans (ball_mono (symmetrize_rel_subset_self V) x) V_sub },
{ rintros ⟨V, V_in, V_symm, V_sub⟩,
exact ⟨V, V_in, V_sub⟩ }
end
lemma uniform_space.has_basis_nhds (x : α) :
has_basis (𝓝 x) (λ s : set (α × α), s ∈ 𝓤 α ∧ symmetric_rel s) (λ s, ball x s) :=
⟨λ t, by simp [uniform_space.mem_nhds_iff_symm, and_assoc]⟩
open uniform_space
lemma uniform_space.mem_closure_iff_symm_ball {s : set α} {x} :
x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → symmetric_rel V → (s ∩ ball x V).nonempty :=
by simp [mem_closure_iff_nhds_basis (has_basis_nhds x), set.nonempty]
lemma uniform_space.mem_closure_iff_ball {s : set α} {x} :
x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → (ball x V ∩ s).nonempty :=
by simp [mem_closure_iff_nhds_basis' (nhds_basis_uniformity' (𝓤 α).basis_sets)]
lemma uniform_space.has_basis_nhds_prod (x y : α) :
has_basis (𝓝 (x, y)) (λ s, s ∈ 𝓤 α ∧ symmetric_rel s) $ λ s, (ball x s).prod (ball y s) :=
begin
rw nhds_prod_eq,
apply (has_basis_nhds x).prod' (has_basis_nhds y),
rintro U V ⟨U_in, U_symm⟩ ⟨V_in, V_symm⟩,
exact ⟨U ∩ V, ⟨(𝓤 α).inter_sets U_in V_in, symmetric_rel_inter U_symm V_symm⟩,
ball_inter_left x U V, ball_inter_right y U V⟩,
end
lemma nhds_eq_uniformity {x : α} : 𝓝 x = (𝓤 α).lift' (ball x) :=
(nhds_basis_uniformity' (𝓤 α).basis_sets).eq_binfi
lemma mem_nhds_left (x : α) {s : set (α×α)} (h : s ∈ 𝓤 α) :
{y : α | (x, y) ∈ s} ∈ 𝓝 x :=
ball_mem_nhds x h
lemma mem_nhds_right (y : α) {s : set (α×α)} (h : s ∈ 𝓤 α) :
{x : α | (x, y) ∈ s} ∈ 𝓝 y :=
mem_nhds_left _ (symm_le_uniformity h)
lemma tendsto_right_nhds_uniformity {a : α} : tendsto (λa', (a', a)) (𝓝 a) (𝓤 α) :=
assume s, mem_nhds_right a
lemma tendsto_left_nhds_uniformity {a : α} : tendsto (λa', (a, a')) (𝓝 a) (𝓤 α) :=
assume s, mem_nhds_left a
lemma lift_nhds_left {x : α} {g : set α → filter β} (hg : monotone g) :
(𝓝 x).lift g = (𝓤 α).lift (λs:set (α×α), g {y | (x, y) ∈ s}) :=
eq.trans
begin
rw [nhds_eq_uniformity],
exact (filter.lift_assoc $ monotone_principal.comp $ monotone_preimage.comp monotone_preimage )
end
(congr_arg _ $ funext $ assume s, filter.lift_principal hg)
lemma lift_nhds_right {x : α} {g : set α → filter β} (hg : monotone g) :
(𝓝 x).lift g = (𝓤 α).lift (λs:set (α×α), g {y | (y, x) ∈ s}) :=
calc (𝓝 x).lift g = (𝓤 α).lift (λs:set (α×α), g {y | (x, y) ∈ s}) : lift_nhds_left hg
... = ((@prod.swap α α) <$> (𝓤 α)).lift (λs:set (α×α), g {y | (x, y) ∈ s}) :
by rw [←uniformity_eq_symm]
... = (𝓤 α).lift (λs:set (α×α), g {y | (x, y) ∈ image prod.swap s}) :
map_lift_eq2 $ hg.comp monotone_preimage
... = _ : by simp [image_swap_eq_preimage_swap]
lemma nhds_nhds_eq_uniformity_uniformity_prod {a b : α} :
𝓝 a ×ᶠ 𝓝 b =
(𝓤 α).lift (λs:set (α×α), (𝓤 α).lift' (λt:set (α×α),
set.prod {y : α | (y, a) ∈ s} {y : α | (b, y) ∈ t})) :=
begin
rw [prod_def],
show (𝓝 a).lift (λs:set α, (𝓝 b).lift (λt:set α, 𝓟 (set.prod s t))) = _,
rw [lift_nhds_right],
apply congr_arg, funext s,
rw [lift_nhds_left],
refl,
exact monotone_principal.comp (monotone_prod monotone_const monotone_id),
exact (monotone_lift' monotone_const $ monotone_lam $
assume x, monotone_prod monotone_id monotone_const)
end
lemma nhds_eq_uniformity_prod {a b : α} :
𝓝 (a, b) =
(𝓤 α).lift' (λs:set (α×α), set.prod {y : α | (y, a) ∈ s} {y : α | (b, y) ∈ s}) :=
begin
rw [nhds_prod_eq, nhds_nhds_eq_uniformity_uniformity_prod, lift_lift'_same_eq_lift'],
{ intro s, exact monotone_prod monotone_const monotone_preimage },
{ intro t, exact monotone_prod monotone_preimage monotone_const }
end
lemma nhdset_of_mem_uniformity {d : set (α×α)} (s : set (α×α)) (hd : d ∈ 𝓤 α) :
∃(t : set (α×α)), is_open t ∧ s ⊆ t ∧ t ⊆ {p | ∃x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d} :=
let cl_d := {p:α×α | ∃x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d} in
have ∀p ∈ s, ∃t ⊆ cl_d, is_open t ∧ p ∈ t, from
assume ⟨x, y⟩ hp, _root_.mem_nhds_iff.mp $
show cl_d ∈ 𝓝 (x, y),
begin
rw [nhds_eq_uniformity_prod, mem_lift'_sets],
exact ⟨d, hd, assume ⟨a, b⟩ ⟨ha, hb⟩, ⟨x, y, ha, hp, hb⟩⟩,
exact monotone_prod monotone_preimage monotone_preimage
end,
have ∃t:(Π(p:α×α) (h:p ∈ s), set (α×α)),
∀p, ∀h:p ∈ s, t p h ⊆ cl_d ∧ is_open (t p h) ∧ p ∈ t p h,
by simp [classical.skolem] at this; simp; assumption,
match this with
| ⟨t, ht⟩ :=
⟨(⋃ p:α×α, ⋃ h : p ∈ s, t p h : set (α×α)),
is_open_Union $ assume (p:α×α), is_open_Union $ assume hp, (ht p hp).right.left,
assume ⟨a, b⟩ hp, begin simp; exact ⟨a, b, hp, (ht (a,b) hp).right.right⟩ end,
Union_subset $ assume p, Union_subset $ assume hp, (ht p hp).left⟩
end
/-- Entourages are neighborhoods of the diagonal. -/
lemma nhds_le_uniformity (x : α) : 𝓝 (x, x) ≤ 𝓤 α :=
begin
intros V V_in,
rcases comp_symm_mem_uniformity_sets V_in with ⟨w, w_in, w_symm, w_sub⟩,
have : (ball x w).prod (ball x w) ∈ 𝓝 (x, x),
{ rw nhds_prod_eq,
exact prod_mem_prod (ball_mem_nhds x w_in) (ball_mem_nhds x w_in) },
apply mem_of_superset this,
rintros ⟨u, v⟩ ⟨u_in, v_in⟩,
exact w_sub (mem_comp_of_mem_ball w_symm u_in v_in)
end
/-- Entourages are neighborhoods of the diagonal. -/
lemma supr_nhds_le_uniformity : (⨆ x : α, 𝓝 (x, x)) ≤ 𝓤 α :=
supr_le nhds_le_uniformity
/-!
### Closure and interior in uniform spaces
-/
lemma closure_eq_uniformity (s : set $ α × α) :
closure s = ⋂ V ∈ {V | V ∈ 𝓤 α ∧ symmetric_rel V}, V ○ s ○ V :=
begin
ext ⟨x, y⟩,
simp_rw [mem_closure_iff_nhds_basis (uniform_space.has_basis_nhds_prod x y),
mem_Inter, mem_set_of_eq],
apply forall_congr,
intro V,
apply forall_congr,
rintros ⟨V_in, V_symm⟩,
simp_rw [mem_comp_comp V_symm, inter_comm, exists_prop],
exact iff.rfl,
end
lemma uniformity_has_basis_closed : has_basis (𝓤 α) (λ V : set (α × α), V ∈ 𝓤 α ∧ is_closed V) id :=
begin
refine filter.has_basis_self.2 (λ t h, _),
rcases comp_comp_symm_mem_uniformity_sets h with ⟨w, w_in, w_symm, r⟩,
refine ⟨closure w, mem_of_superset w_in subset_closure, is_closed_closure, _⟩,
refine subset.trans _ r,
rw closure_eq_uniformity,
apply Inter_subset_of_subset,
apply Inter_subset,
exact ⟨w_in, w_symm⟩
end
/-- Closed entourages form a basis of the uniformity filter. -/
lemma uniformity_has_basis_closure : has_basis (𝓤 α) (λ V : set (α × α), V ∈ 𝓤 α) closure :=
⟨begin
intro t,
rw uniformity_has_basis_closed.mem_iff,
split,
{ rintros ⟨r, ⟨r_in, r_closed⟩, r_sub⟩,
use [r, r_in],
convert r_sub,
rw r_closed.closure_eq,
refl },
{ rintros ⟨r, r_in, r_sub⟩,
exact ⟨closure r, ⟨mem_of_superset r_in subset_closure, is_closed_closure⟩, r_sub⟩ }
end⟩
lemma closure_eq_inter_uniformity {t : set (α×α)} :
closure t = (⋂ d ∈ 𝓤 α, d ○ (t ○ d)) :=
set.ext $ assume ⟨a, b⟩,
calc (a, b) ∈ closure t ↔ (𝓝 (a, b) ⊓ 𝓟 t ≠ ⊥) : mem_closure_iff_nhds_ne_bot
... ↔ (((@prod.swap α α) <$> 𝓤 α).lift'
(λ (s : set (α × α)), set.prod {x : α | (x, a) ∈ s} {y : α | (b, y) ∈ s}) ⊓ 𝓟 t ≠ ⊥) :
by rw [←uniformity_eq_symm, nhds_eq_uniformity_prod]
... ↔ ((map (@prod.swap α α) (𝓤 α)).lift'
(λ (s : set (α × α)), set.prod {x : α | (x, a) ∈ s} {y : α | (b, y) ∈ s}) ⊓ 𝓟 t ≠ ⊥) :
by refl
... ↔ ((𝓤 α).lift'
(λ (s : set (α × α)), set.prod {y : α | (a, y) ∈ s} {x : α | (x, b) ∈ s}) ⊓ 𝓟 t ≠ ⊥) :
begin
rw [map_lift'_eq2],
simp [image_swap_eq_preimage_swap, function.comp],
exact monotone_prod monotone_preimage monotone_preimage
end
... ↔ (∀s ∈ 𝓤 α, (set.prod {y : α | (a, y) ∈ s} {x : α | (x, b) ∈ s} ∩ t).nonempty) :
begin
rw [lift'_inf_principal_eq, ← ne_bot_iff, lift'_ne_bot_iff],
exact monotone_inter (monotone_prod monotone_preimage monotone_preimage) monotone_const
end
... ↔ (∀ s ∈ 𝓤 α, (a, b) ∈ s ○ (t ○ s)) :
forall_congr $ assume s, forall_congr $ assume hs,
⟨assume ⟨⟨x, y⟩, ⟨⟨hx, hy⟩, hxyt⟩⟩, ⟨x, hx, y, hxyt, hy⟩,
assume ⟨x, hx, y, hxyt, hy⟩, ⟨⟨x, y⟩, ⟨⟨hx, hy⟩, hxyt⟩⟩⟩
... ↔ _ : by simp
lemma uniformity_eq_uniformity_closure : 𝓤 α = (𝓤 α).lift' closure :=
le_antisymm
(le_infi $ assume s, le_infi $ assume hs, by simp; filter_upwards [hs] subset_closure)
(calc (𝓤 α).lift' closure ≤ (𝓤 α).lift' (λd, d ○ (d ○ d)) :
lift'_mono' (by intros s hs; rw [closure_eq_inter_uniformity]; exact bInter_subset_of_mem hs)
... ≤ (𝓤 α) : comp_le_uniformity3)
lemma uniformity_eq_uniformity_interior : 𝓤 α = (𝓤 α).lift' interior :=
le_antisymm
(le_infi $ assume d, le_infi $ assume hd,
let ⟨s, hs, hs_comp⟩ := (mem_lift'_sets $
monotone_comp_rel monotone_id $ monotone_comp_rel monotone_id monotone_id).mp
(comp_le_uniformity3 hd) in
let ⟨t, ht, hst, ht_comp⟩ := nhdset_of_mem_uniformity s hs in
have s ⊆ interior d, from
calc s ⊆ t : hst
... ⊆ interior d : (subset_interior_iff_subset_of_open ht).mpr $
λ x (hx : x ∈ t), let ⟨x, y, h₁, h₂, h₃⟩ := ht_comp hx in hs_comp ⟨x, h₁, y, h₂, h₃⟩,
have interior d ∈ 𝓤 α, by filter_upwards [hs] this,
by simp [this])
(assume s hs, ((𝓤 α).lift' interior).sets_of_superset (mem_lift' hs) interior_subset)
lemma interior_mem_uniformity {s : set (α × α)} (hs : s ∈ 𝓤 α) :
interior s ∈ 𝓤 α :=
by rw [uniformity_eq_uniformity_interior]; exact mem_lift' hs
lemma mem_uniformity_is_closed {s : set (α×α)} (h : s ∈ 𝓤 α) :
∃t ∈ 𝓤 α, is_closed t ∧ t ⊆ s :=
let ⟨t, ⟨ht_mem, htc⟩, hts⟩ := uniformity_has_basis_closed.mem_iff.1 h in
⟨t, ht_mem, htc, hts⟩
lemma is_open_iff_open_ball_subset {s : set α} :
is_open s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 α, is_open V ∧ ball x V ⊆ s :=
begin
rw is_open_iff_ball_subset,
split; intros h x hx,
{ obtain ⟨V, hV, hV'⟩ := h x hx,
exact ⟨interior V, interior_mem_uniformity hV, is_open_interior,
(ball_mono interior_subset x).trans hV'⟩, },
{ obtain ⟨V, hV, -, hV'⟩ := h x hx,
exact ⟨V, hV, hV'⟩, },
end
/-- The uniform neighborhoods of all points of a dense set cover the whole space. -/
lemma dense.bUnion_uniformity_ball {s : set α} {U : set (α × α)} (hs : dense s) (hU : U ∈ 𝓤 α) :
(⋃ x ∈ s, ball x U) = univ :=
begin
refine bUnion_eq_univ_iff.2 (λ y, _),
rcases hs.inter_nhds_nonempty (mem_nhds_right y hU) with ⟨x, hxs, hxy : (x, y) ∈ U⟩,
exact ⟨x, hxs, hxy⟩
end
/-!
### Uniformity bases
-/
/-- Open elements of `𝓤 α` form a basis of `𝓤 α`. -/
lemma uniformity_has_basis_open : has_basis (𝓤 α) (λ V : set (α × α), V ∈ 𝓤 α ∧ is_open V) id :=
has_basis_self.2 $ λ s hs,
⟨interior s, interior_mem_uniformity hs, is_open_interior, interior_subset⟩
lemma filter.has_basis.mem_uniformity_iff {p : β → Prop} {s : β → set (α×α)}
(h : (𝓤 α).has_basis p s) {t : set (α × α)} :
t ∈ 𝓤 α ↔ ∃ i (hi : p i), ∀ a b, (a, b) ∈ s i → (a, b) ∈ t :=
h.mem_iff.trans $ by simp only [prod.forall, subset_def]
/-- Symmetric entourages form a basis of `𝓤 α` -/
lemma uniform_space.has_basis_symmetric :
(𝓤 α).has_basis (λ s : set (α × α), s ∈ 𝓤 α ∧ symmetric_rel s) id :=
has_basis_self.2 $ λ t t_in, ⟨symmetrize_rel t, symmetrize_mem_uniformity t_in,
symmetric_symmetrize_rel t, symmetrize_rel_subset_self t⟩
/-- Open elements `s : set (α × α)` of `𝓤 α` such that `(x, y) ∈ s ↔ (y, x) ∈ s` form a basis
of `𝓤 α`. -/
lemma uniformity_has_basis_open_symmetric :
has_basis (𝓤 α) (λ V : set (α × α), V ∈ 𝓤 α ∧ is_open V ∧ symmetric_rel V) id :=
begin
simp only [← and_assoc],
refine uniformity_has_basis_open.restrict (λ s hs, ⟨symmetrize_rel s, _⟩),
exact ⟨⟨symmetrize_mem_uniformity hs.1, is_open.inter hs.2 (hs.2.preimage continuous_swap)⟩,
symmetric_symmetrize_rel s, symmetrize_rel_subset_self s⟩
end
lemma uniform_space.has_seq_basis (h : is_countably_generated $ 𝓤 α) :
∃ V : ℕ → set (α × α), has_antitone_basis (𝓤 α) (λ _, true) V ∧ ∀ n, symmetric_rel (V n) :=
let ⟨U, hsym, hbasis⟩ := h.exists_antitone_subbasis uniform_space.has_basis_symmetric
in ⟨U, hbasis, λ n, (hsym n).2⟩
lemma filter.has_basis.bInter_bUnion_ball {p : ι → Prop} {U : ι → set (α × α)}
(h : has_basis (𝓤 α) p U) (s : set α) :
(⋂ i (hi : p i), ⋃ x ∈ s, ball x (U i)) = closure s :=
begin
ext x,
simp [mem_closure_iff_nhds_basis (nhds_basis_uniformity h), ball]
end
/-! ### Uniform continuity -/
/-- A function `f : α → β` is *uniformly continuous* if `(f x, f y)` tends to the diagonal
as `(x, y)` tends to the diagonal. In other words, if `x` is sufficiently close to `y`, then
`f x` is close to `f y` no matter where `x` and `y` are located in `α`. -/
def uniform_continuous [uniform_space β] (f : α → β) :=
tendsto (λx:α×α, (f x.1, f x.2)) (𝓤 α) (𝓤 β)
/-- A function `f : α → β` is *uniformly continuous* on `s : set α` if `(f x, f y)` tends to
the diagonal as `(x, y)` tends to the diagonal while remaining in `s.prod s`.
In other words, if `x` is sufficiently close to `y`, then `f x` is close to
`f y` no matter where `x` and `y` are located in `s`.-/
def uniform_continuous_on [uniform_space β] (f : α → β) (s : set α) : Prop :=
tendsto (λ x : α × α, (f x.1, f x.2)) (𝓤 α ⊓ principal (s.prod s)) (𝓤 β)
theorem uniform_continuous_def [uniform_space β] {f : α → β} :
uniform_continuous f ↔ ∀ r ∈ 𝓤 β, { x : α × α | (f x.1, f x.2) ∈ r} ∈ 𝓤 α :=
iff.rfl
theorem uniform_continuous_iff_eventually [uniform_space β] {f : α → β} :
uniform_continuous f ↔ ∀ r ∈ 𝓤 β, ∀ᶠ (x : α × α) in 𝓤 α, (f x.1, f x.2) ∈ r :=
iff.rfl
theorem uniform_continuous_on_univ [uniform_space β] {f : α → β} :
uniform_continuous_on f univ ↔ uniform_continuous f :=
by rw [uniform_continuous_on, uniform_continuous, univ_prod_univ, principal_univ, inf_top_eq]
lemma uniform_continuous_of_const [uniform_space β] {c : α → β} (h : ∀a b, c a = c b) :
uniform_continuous c :=
have (λ (x : α × α), (c (x.fst), c (x.snd))) ⁻¹' id_rel = univ, from
eq_univ_iff_forall.2 $ assume ⟨a, b⟩, h a b,
le_trans (map_le_iff_le_comap.2 $ by simp [comap_principal, this, univ_mem]) refl_le_uniformity
lemma uniform_continuous_id : uniform_continuous (@id α) :=
by simp [uniform_continuous]; exact tendsto_id
lemma uniform_continuous_const [uniform_space β] {b : β} : uniform_continuous (λa:α, b) :=
uniform_continuous_of_const $ λ _ _, rfl
lemma uniform_continuous.comp [uniform_space β] [uniform_space γ] {g : β → γ} {f : α → β}
(hg : uniform_continuous g) (hf : uniform_continuous f) : uniform_continuous (g ∘ f) :=
hg.comp hf
lemma filter.has_basis.uniform_continuous_iff [uniform_space β] {p : γ → Prop} {s : γ → set (α×α)}
(ha : (𝓤 α).has_basis p s) {q : δ → Prop} {t : δ → set (β×β)} (hb : (𝓤 β).has_basis q t)
{f : α → β} :
uniform_continuous f ↔ ∀ i (hi : q i), ∃ j (hj : p j), ∀ x y, (x, y) ∈ s j → (f x, f y) ∈ t i :=
(ha.tendsto_iff hb).trans $ by simp only [prod.forall]
lemma filter.has_basis.uniform_continuous_on_iff [uniform_space β] {p : γ → Prop}
{s : γ → set (α×α)} (ha : (𝓤 α).has_basis p s) {q : δ → Prop} {t : δ → set (β×β)}
(hb : (𝓤 β).has_basis q t) {f : α → β} {S : set α} :
uniform_continuous_on f S ↔
∀ i (hi : q i), ∃ j (hj : p j), ∀ x y ∈ S, (x, y) ∈ s j → (f x, f y) ∈ t i :=
((ha.inf_principal (S.prod S)).tendsto_iff hb).trans $ by finish [prod.forall]
end uniform_space
open_locale uniformity
section constructions
instance : partial_order (uniform_space α) :=
{ le := λt s, t.uniformity ≤ s.uniformity,
le_antisymm := assume t s h₁ h₂, uniform_space_eq $ le_antisymm h₁ h₂,
le_refl := assume t, le_refl _,
le_trans := assume a b c h₁ h₂, le_trans h₁ h₂ }
instance : has_Inf (uniform_space α) :=
⟨assume s, uniform_space.of_core {
uniformity := (⨅u∈s, @uniformity α u),
refl := le_infi $ assume u, le_infi $ assume hu, u.refl,
symm := le_infi $ assume u, le_infi $ assume hu,
le_trans (map_mono $ infi_le_of_le _ $ infi_le _ hu) u.symm,
comp := le_infi $ assume u, le_infi $ assume hu,
le_trans (lift'_mono (infi_le_of_le _ $ infi_le _ hu) $ le_refl _) u.comp }⟩
private lemma Inf_le {tt : set (uniform_space α)} {t : uniform_space α} (h : t ∈ tt) :
Inf tt ≤ t :=
show (⨅u∈tt, @uniformity α u) ≤ t.uniformity,
from infi_le_of_le t $ infi_le _ h
private lemma le_Inf {tt : set (uniform_space α)} {t : uniform_space α} (h : ∀t'∈tt, t ≤ t') :
t ≤ Inf tt :=
show t.uniformity ≤ (⨅u∈tt, @uniformity α u),
from le_infi $ assume t', le_infi $ assume ht', h t' ht'
instance : has_top (uniform_space α) :=
⟨uniform_space.of_core { uniformity := ⊤, refl := le_top, symm := le_top, comp := le_top }⟩
instance : has_bot (uniform_space α) :=
⟨{ to_topological_space := ⊥,
uniformity := 𝓟 id_rel,
refl := le_refl _,
symm := by simp [tendsto]; apply subset.refl,
comp :=
begin
rw [lift'_principal], {simp},
exact monotone_comp_rel monotone_id monotone_id
end,
is_open_uniformity :=
assume s, by simp [is_open_fold, subset_def, id_rel] {contextual := tt } } ⟩
instance : complete_lattice (uniform_space α) :=
{ sup := λa b, Inf {x | a ≤ x ∧ b ≤ x},
le_sup_left := λ a b, le_Inf (λ _ ⟨h, _⟩, h),
le_sup_right := λ a b, le_Inf (λ _ ⟨_, h⟩, h),
sup_le := λ a b c h₁ h₂, Inf_le ⟨h₁, h₂⟩,
inf := λ a b, Inf {a, b},
le_inf := λ a b c h₁ h₂, le_Inf (λ u h,
by { cases h, exact h.symm ▸ h₁, exact (mem_singleton_iff.1 h).symm ▸ h₂ }),
inf_le_left := λ a b, Inf_le (by simp),
inf_le_right := λ a b, Inf_le (by simp),
top := ⊤,
le_top := λ a, show a.uniformity ≤ ⊤, from le_top,
bot := ⊥,
bot_le := λ u, u.refl,
Sup := λ tt, Inf {t | ∀ t' ∈ tt, t' ≤ t},
le_Sup := λ s u h, le_Inf (λ u' h', h' u h),
Sup_le := λ s u h, Inf_le h,
Inf := Inf,
le_Inf := λ s a hs, le_Inf hs,
Inf_le := λ s a ha, Inf_le ha,
..uniform_space.partial_order }
lemma infi_uniformity {ι : Sort*} {u : ι → uniform_space α} :
(infi u).uniformity = (⨅i, (u i).uniformity) :=
show (⨅a (h : ∃i:ι, u i = a), a.uniformity) = _, from
le_antisymm
(le_infi $ assume i, infi_le_of_le (u i) $ infi_le _ ⟨i, rfl⟩)
(le_infi $ assume a, le_infi $ assume ⟨i, (ha : u i = a)⟩, ha ▸ infi_le _ _)
lemma inf_uniformity {u v : uniform_space α} :
(u ⊓ v).uniformity = u.uniformity ⊓ v.uniformity :=
have (u ⊓ v) = (⨅i (h : i = u ∨ i = v), i), by simp [infi_or, infi_inf_eq],
calc (u ⊓ v).uniformity = ((⨅i (h : i = u ∨ i = v), i) : uniform_space α).uniformity : by rw [this]
... = _ : by simp [infi_uniformity, infi_or, infi_inf_eq]
instance inhabited_uniform_space : inhabited (uniform_space α) := ⟨⊥⟩
instance inhabited_uniform_space_core : inhabited (uniform_space.core α) :=
⟨@uniform_space.to_core _ (default _)⟩
/-- Given `f : α → β` and a uniformity `u` on `β`, the inverse image of `u` under `f`
is the inverse image in the filter sense of the induced function `α × α → β × β`. -/
def uniform_space.comap (f : α → β) (u : uniform_space β) : uniform_space α :=
{ uniformity := u.uniformity.comap (λp:α×α, (f p.1, f p.2)),
to_topological_space := u.to_topological_space.induced f,
refl := le_trans (by simp; exact assume ⟨a, b⟩ (h : a = b), h ▸ rfl) (comap_mono u.refl),
symm := by simp [tendsto_comap_iff, prod.swap, (∘)];
exact tendsto_swap_uniformity.comp tendsto_comap,
comp := le_trans
begin
rw [comap_lift'_eq, comap_lift'_eq2],
exact (lift'_mono' $ assume s hs ⟨a₁, a₂⟩ ⟨x, h₁, h₂⟩, ⟨f x, h₁, h₂⟩),
repeat { exact monotone_comp_rel monotone_id monotone_id }
end
(comap_mono u.comp),
is_open_uniformity := λ s, begin
change (@is_open α (u.to_topological_space.induced f) s ↔ _),
simp [is_open_iff_nhds, nhds_induced, mem_nhds_uniformity_iff_right, filter.comap, and_comm],
refine ball_congr (λ x hx, ⟨_, _⟩),
{ rintro ⟨t, hts, ht⟩, refine ⟨_, ht, _⟩,
rintro ⟨x₁, x₂⟩ h rfl, exact hts (h rfl) },
{ rintro ⟨t, ht, hts⟩,
exact ⟨{y | (f x, y) ∈ t}, λ y hy, @hts (x, y) hy rfl,
mem_nhds_uniformity_iff_right.1 $ mem_nhds_left _ ht⟩ }
end }
lemma uniformity_comap [uniform_space α] [uniform_space β] {f : α → β}
(h : ‹uniform_space α› = uniform_space.comap f ‹uniform_space β›) :
𝓤 α = comap (prod.map f f) (𝓤 β) :=
by { rw h, refl }
lemma uniform_space_comap_id {α : Type*} : uniform_space.comap (id : α → α) = id :=
by ext u ; dsimp [uniform_space.comap] ; rw [prod.id_prod, filter.comap_id]
lemma uniform_space.comap_comap {α β γ} [uγ : uniform_space γ] {f : α → β} {g : β → γ} :
uniform_space.comap (g ∘ f) uγ = uniform_space.comap f (uniform_space.comap g uγ) :=
by ext ; dsimp [uniform_space.comap] ; rw filter.comap_comap
lemma uniform_continuous_iff {α β} [uα : uniform_space α] [uβ : uniform_space β] {f : α → β} :
uniform_continuous f ↔ uα ≤ uβ.comap f :=
filter.map_le_iff_le_comap
lemma uniform_continuous_comap {f : α → β} [u : uniform_space β] :
@uniform_continuous α β (uniform_space.comap f u) u f :=
tendsto_comap
theorem to_topological_space_comap {f : α → β} {u : uniform_space β} :
@uniform_space.to_topological_space _ (uniform_space.comap f u) =
topological_space.induced f (@uniform_space.to_topological_space β u) := rfl
lemma uniform_continuous_comap' {f : γ → β} {g : α → γ} [v : uniform_space β] [u : uniform_space α]
(h : uniform_continuous (f ∘ g)) : @uniform_continuous α γ u (uniform_space.comap f v) g :=
tendsto_comap_iff.2 h
lemma to_nhds_mono {u₁ u₂ : uniform_space α} (h : u₁ ≤ u₂) (a : α) :
@nhds _ (@uniform_space.to_topological_space _ u₁) a ≤
@nhds _ (@uniform_space.to_topological_space _ u₂) a :=
by rw [@nhds_eq_uniformity α u₁ a, @nhds_eq_uniformity α u₂ a]; exact (lift'_mono h le_rfl)
lemma to_topological_space_mono {u₁ u₂ : uniform_space α} (h : u₁ ≤ u₂) :
@uniform_space.to_topological_space _ u₁ ≤ @uniform_space.to_topological_space _ u₂ :=
le_of_nhds_le_nhds $ to_nhds_mono h
lemma uniform_continuous.continuous [uniform_space α] [uniform_space β] {f : α → β}
(hf : uniform_continuous f) : continuous f :=
continuous_iff_le_induced.mpr $ to_topological_space_mono $ uniform_continuous_iff.1 hf
lemma to_topological_space_bot : @uniform_space.to_topological_space α ⊥ = ⊥ := rfl
lemma to_topological_space_top : @uniform_space.to_topological_space α ⊤ = ⊤ :=
top_unique $ assume s hs, s.eq_empty_or_nonempty.elim
(assume : s = ∅, this.symm ▸ @is_open_empty _ ⊤)
(assume ⟨x, hx⟩,
have s = univ, from top_unique $ assume y hy, hs x hx (x, y) rfl,
this.symm ▸ @is_open_univ _ ⊤)
lemma to_topological_space_infi {ι : Sort*} {u : ι → uniform_space α} :
(infi u).to_topological_space = ⨅i, (u i).to_topological_space :=
begin
casesI is_empty_or_nonempty ι,
{ rw [infi_of_empty, infi_of_empty, to_topological_space_top] },
{ refine (eq_of_nhds_eq_nhds $ assume a, _),
rw [nhds_infi, nhds_eq_uniformity],
change (infi u).uniformity.lift' (preimage $ prod.mk a) = _,
rw [infi_uniformity, lift'_infi],
{ simp only [nhds_eq_uniformity], refl },
{ exact assume a b, rfl } },
end
lemma to_topological_space_Inf {s : set (uniform_space α)} :
(Inf s).to_topological_space = (⨅i∈s, @uniform_space.to_topological_space α i) :=
begin
rw [Inf_eq_infi],
simp only [← to_topological_space_infi],
end
lemma to_topological_space_inf {u v : uniform_space α} :
(u ⊓ v).to_topological_space = u.to_topological_space ⊓ v.to_topological_space :=
by rw [to_topological_space_Inf, infi_pair]
instance : uniform_space empty := ⊥
instance : uniform_space punit := ⊥
instance : uniform_space bool := ⊥
instance : uniform_space ℕ := ⊥
instance : uniform_space ℤ := ⊥
instance {p : α → Prop} [t : uniform_space α] : uniform_space (subtype p) :=
uniform_space.comap subtype.val t
lemma uniformity_subtype {p : α → Prop} [t : uniform_space α] :
𝓤 (subtype p) = comap (λq:subtype p × subtype p, (q.1.1, q.2.1)) (𝓤 α) :=
rfl
lemma uniform_continuous_subtype_val {p : α → Prop} [uniform_space α] :
uniform_continuous (subtype.val : {a : α // p a} → α) :=
uniform_continuous_comap
lemma uniform_continuous_subtype_mk {p : α → Prop} [uniform_space α] [uniform_space β]
{f : β → α} (hf : uniform_continuous f) (h : ∀x, p (f x)) :
uniform_continuous (λx, ⟨f x, h x⟩ : β → subtype p) :=
uniform_continuous_comap' hf
lemma uniform_continuous_on_iff_restrict [uniform_space α] [uniform_space β] {f : α → β}
{s : set α} :
uniform_continuous_on f s ↔ uniform_continuous (s.restrict f) :=
begin
unfold uniform_continuous_on set.restrict uniform_continuous tendsto,
rw [show (λ x : s × s, (f x.1, f x.2)) = prod.map f f ∘ coe, by ext x; cases x; refl,
uniformity_comap rfl,
show prod.map subtype.val subtype.val = (coe : s × s → α × α), by ext x; cases x; refl],
conv in (map _ (comap _ _)) { rw ← filter.map_map },
rw subtype_coe_map_comap_prod, refl,
end
lemma tendsto_of_uniform_continuous_subtype
[uniform_space α] [uniform_space β] {f : α → β} {s : set α} {a : α}
(hf : uniform_continuous (λx:s, f x.val)) (ha : s ∈ 𝓝 a) :
tendsto f (𝓝 a) (𝓝 (f a)) :=
by rw [(@map_nhds_subtype_coe_eq α _ s a (mem_of_mem_nhds ha) ha).symm]; exact
tendsto_map' (continuous_iff_continuous_at.mp hf.continuous _)
lemma uniform_continuous_on.continuous_on [uniform_space α] [uniform_space β] {f : α → β}
{s : set α} (h : uniform_continuous_on f s) : continuous_on f s :=
begin
rw uniform_continuous_on_iff_restrict at h,
rw continuous_on_iff_continuous_restrict,
exact h.continuous
end
section prod
/- a similar product space is possible on the function space (uniformity of pointwise convergence),
but we want to have the uniformity of uniform convergence on function spaces -/
instance [u₁ : uniform_space α] [u₂ : uniform_space β] : uniform_space (α × β) :=
uniform_space.of_core_eq
(u₁.comap prod.fst ⊓ u₂.comap prod.snd).to_core
prod.topological_space
(calc prod.topological_space = (u₁.comap prod.fst ⊓ u₂.comap prod.snd).to_topological_space :
by rw [to_topological_space_inf, to_topological_space_comap, to_topological_space_comap]; refl
... = _ : by rw [uniform_space.to_core_to_topological_space])
theorem uniformity_prod [uniform_space α] [uniform_space β] : 𝓤 (α × β) =
(𝓤 α).comap (λp:(α × β) × α × β, (p.1.1, p.2.1)) ⊓
(𝓤 β).comap (λp:(α × β) × α × β, (p.1.2, p.2.2)) :=
inf_uniformity
lemma uniformity_prod_eq_prod [uniform_space α] [uniform_space β] :
𝓤 (α×β) =
map (λp:(α×α)×(β×β), ((p.1.1, p.2.1), (p.1.2, p.2.2))) (𝓤 α ×ᶠ 𝓤 β) :=
have map (λp:(α×α)×(β×β), ((p.1.1, p.2.1), (p.1.2, p.2.2))) =
comap (λp:(α×β)×(α×β), ((p.1.1, p.2.1), (p.1.2, p.2.2))),
from funext $ assume f, map_eq_comap_of_inverse
(funext $ assume ⟨⟨_, _⟩, ⟨_, _⟩⟩, rfl) (funext $ assume ⟨⟨_, _⟩, ⟨_, _⟩⟩, rfl),
by rw [this, uniformity_prod, filter.prod, comap_inf, comap_comap, comap_comap]
lemma mem_map_iff_exists_image' {α : Type*} {β : Type*} {f : filter α} {m : α → β} {t : set β} :
t ∈ (map m f).sets ↔ (∃s∈f, m '' s ⊆ t) :=
mem_map_iff_exists_image
lemma mem_uniformity_of_uniform_continuous_invariant [uniform_space α] {s:set (α×α)} {f : α → α → α}
(hf : uniform_continuous (λp:α×α, f p.1 p.2)) (hs : s ∈ 𝓤 α) :
∃u∈𝓤 α, ∀a b c, (a, b) ∈ u → (f a c, f b c) ∈ s :=
begin
rw [uniform_continuous, uniformity_prod_eq_prod, tendsto_map'_iff, (∘)] at hf,
rcases mem_map_iff_exists_image'.1 (hf hs) with ⟨t, ht, hts⟩, clear hf,
rcases mem_prod_iff.1 ht with ⟨u, hu, v, hv, huvt⟩, clear ht,
refine ⟨u, hu, assume a b c hab, hts $ (mem_image _ _ _).2 ⟨⟨⟨a, b⟩, ⟨c, c⟩⟩, huvt ⟨_, _⟩, _⟩⟩,
exact hab,
exact refl_mem_uniformity hv,
refl
end
lemma mem_uniform_prod [t₁ : uniform_space α] [t₂ : uniform_space β] {a : set (α × α)}
{b : set (β × β)} (ha : a ∈ 𝓤 α) (hb : b ∈ 𝓤 β) :
{p:(α×β)×(α×β) | (p.1.1, p.2.1) ∈ a ∧ (p.1.2, p.2.2) ∈ b } ∈ (@uniformity (α × β) _) :=
by rw [uniformity_prod]; exact inter_mem_inf (preimage_mem_comap ha) (preimage_mem_comap hb)
lemma tendsto_prod_uniformity_fst [uniform_space α] [uniform_space β] :
tendsto (λp:(α×β)×(α×β), (p.1.1, p.2.1)) (𝓤 (α × β)) (𝓤 α) :=
le_trans (map_mono (@inf_le_left (uniform_space (α×β)) _ _ _)) map_comap_le
lemma tendsto_prod_uniformity_snd [uniform_space α] [uniform_space β] :
tendsto (λp:(α×β)×(α×β), (p.1.2, p.2.2)) (𝓤 (α × β)) (𝓤 β) :=
le_trans (map_mono (@inf_le_right (uniform_space (α×β)) _ _ _)) map_comap_le
lemma uniform_continuous_fst [uniform_space α] [uniform_space β] :
uniform_continuous (λp:α×β, p.1) :=
tendsto_prod_uniformity_fst
lemma uniform_continuous_snd [uniform_space α] [uniform_space β] :
uniform_continuous (λp:α×β, p.2) :=
tendsto_prod_uniformity_snd
variables [uniform_space α] [uniform_space β] [uniform_space γ]
lemma uniform_continuous.prod_mk
{f₁ : α → β} {f₂ : α → γ} (h₁ : uniform_continuous f₁) (h₂ : uniform_continuous f₂) :
uniform_continuous (λa, (f₁ a, f₂ a)) :=
by rw [uniform_continuous, uniformity_prod]; exact
tendsto_inf.2 ⟨tendsto_comap_iff.2 h₁, tendsto_comap_iff.2 h₂⟩
lemma uniform_continuous.prod_mk_left {f : α × β → γ} (h : uniform_continuous f) (b) :
uniform_continuous (λ a, f (a,b)) :=
h.comp (uniform_continuous_id.prod_mk uniform_continuous_const)
lemma uniform_continuous.prod_mk_right {f : α × β → γ} (h : uniform_continuous f) (a) :
uniform_continuous (λ b, f (a,b)) :=
h.comp (uniform_continuous_const.prod_mk uniform_continuous_id)
lemma uniform_continuous.prod_map [uniform_space δ] {f : α → γ} {g : β → δ}
(hf : uniform_continuous f) (hg : uniform_continuous g) :
uniform_continuous (prod.map f g) :=
(hf.comp uniform_continuous_fst).prod_mk (hg.comp uniform_continuous_snd)
lemma to_topological_space_prod {α} {β} [u : uniform_space α] [v : uniform_space β] :
@uniform_space.to_topological_space (α × β) prod.uniform_space =
@prod.topological_space α β u.to_topological_space v.to_topological_space := rfl
end prod
section
open uniform_space function
variables {δ' : Type*} [uniform_space α] [uniform_space β] [uniform_space γ] [uniform_space δ]
[uniform_space δ']
local notation f `∘₂` g := function.bicompr f g
/-- Uniform continuity for functions of two variables. -/
def uniform_continuous₂ (f : α → β → γ) := uniform_continuous (uncurry f)
lemma uniform_continuous₂_def (f : α → β → γ) :
uniform_continuous₂ f ↔ uniform_continuous (uncurry f) := iff.rfl
lemma uniform_continuous₂.uniform_continuous {f : α → β → γ} (h : uniform_continuous₂ f) :
uniform_continuous (uncurry f) := h
lemma uniform_continuous₂_curry (f : α × β → γ) :
uniform_continuous₂ (function.curry f) ↔ uniform_continuous f :=
by rw [uniform_continuous₂, uncurry_curry]
lemma uniform_continuous₂.comp {f : α → β → γ} {g : γ → δ}
(hg : uniform_continuous g) (hf : uniform_continuous₂ f) :
uniform_continuous₂ (g ∘₂ f) :=
hg.comp hf
lemma uniform_continuous₂.bicompl {f : α → β → γ} {ga : δ → α} {gb : δ' → β}
(hf : uniform_continuous₂ f) (hga : uniform_continuous ga) (hgb : uniform_continuous gb) :
uniform_continuous₂ (bicompl f ga gb) :=
hf.uniform_continuous.comp (hga.prod_map hgb)
end
lemma to_topological_space_subtype [u : uniform_space α] {p : α → Prop} :
@uniform_space.to_topological_space (subtype p) subtype.uniform_space =
@subtype.topological_space α p u.to_topological_space := rfl
section sum
variables [uniform_space α] [uniform_space β]
open sum
/-- Uniformity on a disjoint union. Entourages of the diagonal in the union are obtained
by taking independently an entourage of the diagonal in the first part, and an entourage of
the diagonal in the second part. -/
def uniform_space.core.sum : uniform_space.core (α ⊕ β) :=
uniform_space.core.mk'
(map (λ p : α × α, (inl p.1, inl p.2)) (𝓤 α) ⊔ map (λ p : β × β, (inr p.1, inr p.2)) (𝓤 β))
(λ r ⟨H₁, H₂⟩ x, by cases x; [apply refl_mem_uniformity H₁, apply refl_mem_uniformity H₂])
(λ r ⟨H₁, H₂⟩, ⟨symm_le_uniformity H₁, symm_le_uniformity H₂⟩)
(λ r ⟨Hrα, Hrβ⟩, begin
rcases comp_mem_uniformity_sets Hrα with ⟨tα, htα, Htα⟩,
rcases comp_mem_uniformity_sets Hrβ with ⟨tβ, htβ, Htβ⟩,
refine ⟨_,
⟨mem_map_iff_exists_image.2 ⟨tα, htα, subset_union_left _ _⟩,
mem_map_iff_exists_image.2 ⟨tβ, htβ, subset_union_right _ _⟩⟩, _⟩,
rintros ⟨_, _⟩ ⟨z, ⟨⟨a, b⟩, hab, ⟨⟩⟩ | ⟨⟨a, b⟩, hab, ⟨⟩⟩,
⟨⟨_, c⟩, hbc, ⟨⟩⟩ | ⟨⟨_, c⟩, hbc, ⟨⟩⟩⟩,
{ have A : (a, c) ∈ tα ○ tα := ⟨b, hab, hbc⟩,
exact Htα A },
{ have A : (a, c) ∈ tβ ○ tβ := ⟨b, hab, hbc⟩,
exact Htβ A }
end)
/-- The union of an entourage of the diagonal in each set of a disjoint union is again an entourage
of the diagonal. -/
lemma union_mem_uniformity_sum
{a : set (α × α)} (ha : a ∈ 𝓤 α) {b : set (β × β)} (hb : b ∈ 𝓤 β) :
((λ p : (α × α), (inl p.1, inl p.2)) '' a ∪ (λ p : (β × β), (inr p.1, inr p.2)) '' b) ∈
(@uniform_space.core.sum α β _ _).uniformity :=
⟨mem_map_iff_exists_image.2 ⟨_, ha, subset_union_left _ _⟩,
mem_map_iff_exists_image.2 ⟨_, hb, subset_union_right _ _⟩⟩
/- To prove that the topology defined by the uniform structure on the disjoint union coincides with
the disjoint union topology, we need two lemmas saying that open sets can be characterized by
the uniform structure -/
lemma uniformity_sum_of_open_aux {s : set (α ⊕ β)} (hs : is_open s) {x : α ⊕ β} (xs : x ∈ s) :
{ p : ((α ⊕ β) × (α ⊕ β)) | p.1 = x → p.2 ∈ s } ∈ (@uniform_space.core.sum α β _ _).uniformity :=
begin
cases x,
{ refine mem_of_superset
(union_mem_uniformity_sum (mem_nhds_uniformity_iff_right.1 (is_open.mem_nhds hs.1 xs))
univ_mem)
(union_subset _ _);
rintro _ ⟨⟨_, b⟩, h, ⟨⟩⟩ ⟨⟩,
exact h rfl },
{ refine mem_of_superset
(union_mem_uniformity_sum univ_mem (mem_nhds_uniformity_iff_right.1
(is_open.mem_nhds hs.2 xs)))
(union_subset _ _);
rintro _ ⟨⟨a, _⟩, h, ⟨⟩⟩ ⟨⟩,
exact h rfl },
end
lemma open_of_uniformity_sum_aux {s : set (α ⊕ β)}
(hs : ∀x ∈ s, { p : ((α ⊕ β) × (α ⊕ β)) | p.1 = x → p.2 ∈ s } ∈
(@uniform_space.core.sum α β _ _).uniformity) :
is_open s :=
begin
split,
{ refine (@is_open_iff_mem_nhds α _ _).2 (λ a ha, mem_nhds_uniformity_iff_right.2 _),
rcases mem_map_iff_exists_image.1 (hs _ ha).1 with ⟨t, ht, st⟩,
refine mem_of_superset ht _,
rintro p pt rfl, exact st ⟨_, pt, rfl⟩ rfl },
{ refine (@is_open_iff_mem_nhds β _ _).2 (λ b hb, mem_nhds_uniformity_iff_right.2 _),
rcases mem_map_iff_exists_image.1 (hs _ hb).2 with ⟨t, ht, st⟩,
refine mem_of_superset ht _,
rintro p pt rfl, exact st ⟨_, pt, rfl⟩ rfl }
end
/- We can now define the uniform structure on the disjoint union -/
instance sum.uniform_space : uniform_space (α ⊕ β) :=
{ to_core := uniform_space.core.sum,
is_open_uniformity := λ s, ⟨uniformity_sum_of_open_aux, open_of_uniformity_sum_aux⟩ }
lemma sum.uniformity : 𝓤 (α ⊕ β) =
map (λ p : α × α, (inl p.1, inl p.2)) (𝓤 α) ⊔
map (λ p : β × β, (inr p.1, inr p.2)) (𝓤 β) := rfl
end sum
end constructions
-- For a version of the Lebesgue number lemma assuming only a sequentially compact space,
-- see topology/sequences.lean
/-- Let `c : ι → set α` be an open cover of a compact set `s`. Then there exists an entourage
`n` such that for each `x ∈ s` its `n`-neighborhood is contained in some `c i`. -/
lemma lebesgue_number_lemma {α : Type u} [uniform_space α] {s : set α} {ι} {c : ι → set α}
(hs : is_compact s) (hc₁ : ∀ i, is_open (c i)) (hc₂ : s ⊆ ⋃ i, c i) :
∃ n ∈ 𝓤 α, ∀ x ∈ s, ∃ i, {y | (x, y) ∈ n} ⊆ c i :=
begin
let u := λ n, {x | ∃ i (m ∈ 𝓤 α), {y | (x, y) ∈ m ○ n} ⊆ c i},
have hu₁ : ∀ n ∈ 𝓤 α, is_open (u n),
{ refine λ n hn, is_open_uniformity.2 _,
rintro x ⟨i, m, hm, h⟩,
rcases comp_mem_uniformity_sets hm with ⟨m', hm', mm'⟩,
apply (𝓤 α).sets_of_superset hm',
rintros ⟨x, y⟩ hp rfl,
refine ⟨i, m', hm', λ z hz, h (monotone_comp_rel monotone_id monotone_const mm' _)⟩,
dsimp at hz ⊢, rw comp_rel_assoc,
exact ⟨y, hp, hz⟩ },
have hu₂ : s ⊆ ⋃ n ∈ 𝓤 α, u n,
{ intros x hx,
rcases mem_Union.1 (hc₂ hx) with ⟨i, h⟩,
rcases comp_mem_uniformity_sets (is_open_uniformity.1 (hc₁ i) x h) with ⟨m', hm', mm'⟩,
exact mem_bUnion hm' ⟨i, _, hm', λ y hy, mm' hy rfl⟩ },
rcases hs.elim_finite_subcover_image hu₁ hu₂ with ⟨b, bu, b_fin, b_cover⟩,
refine ⟨_, (bInter_mem b_fin).2 bu, λ x hx, _⟩,
rcases mem_bUnion_iff.1 (b_cover hx) with ⟨n, bn, i, m, hm, h⟩,
refine ⟨i, λ y hy, h _⟩,
exact prod_mk_mem_comp_rel (refl_mem_uniformity hm) (bInter_subset_of_mem bn hy)
end
/-- Let `c : set (set α)` be an open cover of a compact set `s`. Then there exists an entourage
`n` such that for each `x ∈ s` its `n`-neighborhood is contained in some `t ∈ c`. -/
lemma lebesgue_number_lemma_sUnion {α : Type u} [uniform_space α] {s : set α} {c : set (set α)}
(hs : is_compact s) (hc₁ : ∀ t ∈ c, is_open t) (hc₂ : s ⊆ ⋃₀ c) :
∃ n ∈ 𝓤 α, ∀ x ∈ s, ∃ t ∈ c, ∀ y, (x, y) ∈ n → y ∈ t :=
by rw sUnion_eq_Union at hc₂;
simpa using lebesgue_number_lemma hs (by simpa) hc₂
/-- A useful consequence of the Lebesgue number lemma: given any compact set `K` contained in an
open set `U`, we can find an (open) entourage `V` such that the ball of size `V` about any point of
`K` is contained in `U`. -/
lemma lebesgue_number_of_compact_open [uniform_space α]
{K U : set α} (hK : is_compact K) (hU : is_open U) (hKU : K ⊆ U) :
∃ V ∈ 𝓤 α, is_open V ∧ ∀ x ∈ K, uniform_space.ball x V ⊆ U :=
begin
let W : K → set (α × α) := λ k, classical.some $ is_open_iff_open_ball_subset.mp hU k.1 $ hKU k.2,
have hW : ∀ k, W k ∈ 𝓤 α ∧ is_open (W k) ∧ uniform_space.ball k.1 (W k) ⊆ U,
{ intros k,
obtain ⟨h₁, h₂, h₃⟩ := classical.some_spec (is_open_iff_open_ball_subset.mp hU k.1 (hKU k.2)),
exact ⟨h₁, h₂, h₃⟩, },
let c : K → set α := λ k, uniform_space.ball k.1 (W k),
have hc₁ : ∀ k, is_open (c k), { exact λ k, uniform_space.is_open_ball k.1 (hW k).2.1, },
have hc₂ : K ⊆ ⋃ i, c i,
{ intros k hk,
simp only [mem_Union, set_coe.exists],
exact ⟨k, hk, uniform_space.mem_ball_self k (hW ⟨k, hk⟩).1⟩, },
have hc₃ : ∀ k, c k ⊆ U, { exact λ k, (hW k).2.2, },
obtain ⟨V, hV, hV'⟩ := lebesgue_number_lemma hK hc₁ hc₂,
refine ⟨interior V, interior_mem_uniformity hV, is_open_interior, _⟩,
intros k hk,
obtain ⟨k', hk'⟩ := hV' k hk,
exact ((ball_mono interior_subset k).trans hk').trans (hc₃ k'),
end
/-!
### Expressing continuity properties in uniform spaces
We reformulate the various continuity properties of functions taking values in a uniform space
in terms of the uniformity in the target. Since the same lemmas (essentially with the same names)
also exist for metric spaces and emetric spaces (reformulating things in terms of the distance or
the edistance in the target), we put them in a namespace `uniform` here.
In the metric and emetric space setting, there are also similar lemmas where one assumes that
both the source and the target are metric spaces, reformulating things in terms of the distance
on both sides. These lemmas are generally written without primes, and the versions where only
the target is a metric space is primed. We follow the same convention here, thus giving lemmas
with primes.
-/
namespace uniform
variables [uniform_space α]
theorem tendsto_nhds_right {f : filter β} {u : β → α} {a : α} :
tendsto u f (𝓝 a) ↔ tendsto (λ x, (a, u x)) f (𝓤 α) :=
⟨λ H, tendsto_left_nhds_uniformity.comp H,
λ H s hs, by simpa [mem_of_mem_nhds hs] using H (mem_nhds_uniformity_iff_right.1 hs)⟩
theorem tendsto_nhds_left {f : filter β} {u : β → α} {a : α} :
tendsto u f (𝓝 a) ↔ tendsto (λ x, (u x, a)) f (𝓤 α) :=
⟨λ H, tendsto_right_nhds_uniformity.comp H,
λ H s hs, by simpa [mem_of_mem_nhds hs] using H (mem_nhds_uniformity_iff_left.1 hs)⟩
theorem continuous_at_iff'_right [topological_space β] {f : β → α} {b : β} :
continuous_at f b ↔ tendsto (λ x, (f b, f x)) (𝓝 b) (𝓤 α) :=
by rw [continuous_at, tendsto_nhds_right]
theorem continuous_at_iff'_left [topological_space β] {f : β → α} {b : β} :
continuous_at f b ↔ tendsto (λ x, (f x, f b)) (𝓝 b) (𝓤 α) :=
by rw [continuous_at, tendsto_nhds_left]
theorem continuous_at_iff_prod [topological_space β] {f : β → α} {b : β} :
continuous_at f b ↔ tendsto (λ x : β × β, (f x.1, f x.2)) (𝓝 (b, b)) (𝓤 α) :=
⟨λ H, le_trans (H.prod_map' H) (nhds_le_uniformity _),
λ H, continuous_at_iff'_left.2 $ H.comp $ tendsto_id.prod_mk_nhds tendsto_const_nhds⟩
theorem continuous_within_at_iff'_right [topological_space β] {f : β → α} {b : β} {s : set β} :
continuous_within_at f s b ↔ tendsto (λ x, (f b, f x)) (𝓝[s] b) (𝓤 α) :=
by rw [continuous_within_at, tendsto_nhds_right]
theorem continuous_within_at_iff'_left [topological_space β] {f : β → α} {b : β} {s : set β} :
continuous_within_at f s b ↔ tendsto (λ x, (f x, f b)) (𝓝[s] b) (𝓤 α) :=
by rw [continuous_within_at, tendsto_nhds_left]
theorem continuous_on_iff'_right [topological_space β] {f : β → α} {s : set β} :
continuous_on f s ↔ ∀ b ∈ s, tendsto (λ x, (f b, f x)) (𝓝[s] b) (𝓤 α) :=
by simp [continuous_on, continuous_within_at_iff'_right]
theorem continuous_on_iff'_left [topological_space β] {f : β → α} {s : set β} :
continuous_on f s ↔ ∀ b ∈ s, tendsto (λ x, (f x, f b)) (𝓝[s] b) (𝓤 α) :=
by simp [continuous_on, continuous_within_at_iff'_left]
theorem continuous_iff'_right [topological_space β] {f : β → α} :
continuous f ↔ ∀ b, tendsto (λ x, (f b, f x)) (𝓝 b) (𝓤 α) :=
continuous_iff_continuous_at.trans $ forall_congr $ λ b, tendsto_nhds_right
theorem continuous_iff'_left [topological_space β] {f : β → α} :
continuous f ↔ ∀ b, tendsto (λ x, (f x, f b)) (𝓝 b) (𝓤 α) :=
continuous_iff_continuous_at.trans $ forall_congr $ λ b, tendsto_nhds_left
end uniform
lemma filter.tendsto.congr_uniformity {α β} [uniform_space β] {f g : α → β} {l : filter α} {b : β}
(hf : tendsto f l (𝓝 b)) (hg : tendsto (λ x, (f x, g x)) l (𝓤 β)) :
tendsto g l (𝓝 b) :=
uniform.tendsto_nhds_right.2 $ (uniform.tendsto_nhds_right.1 hf).uniformity_trans hg
lemma uniform.tendsto_congr {α β} [uniform_space β] {f g : α → β} {l : filter α} {b : β}
(hfg : tendsto (λ x, (f x, g x)) l (𝓤 β)) :
tendsto f l (𝓝 b) ↔ tendsto g l (𝓝 b) :=
⟨λ h, h.congr_uniformity hfg, λ h, h.congr_uniformity hfg.uniformity_symm⟩
|
32fc7d2d4034b5fe5cf1c8ac6e0200bdad02fb5d | fe84e287c662151bb313504482b218a503b972f3 | /src/combinatorics/square_grid.lean | 66a69c4fe7a524a96541b6b9f25dc06c29671ddd | [] | 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 | 13,966 | lean | import data.fintype.basic
import algebra.power_mod
import group_theory.group_action
import algebra.group_power
import algebra.big_operators
import data.zmod.basic
import tactic.ring tactic.abel
import group_theory.self_map
import group_theory.action_instances
import group_theory.burnside_count
import group_theory.dihedral
import data.fin_extra
import data.enumeration
import order.lattice order.lattice_extra
open group_theory
namespace combinatorics
variable (N : ℕ)
def square_grid := (fin N.succ) × (fin N.succ)
namespace square_grid
instance : decidable_eq (square_grid N) :=
by { dsimp [square_grid], apply_instance }
instance : fintype (square_grid N) :=
by { dsimp [square_grid], apply_instance }
instance : has_repr (square_grid N) :=
⟨λ ij, ij.1.val.repr ++ ij.2.val.repr⟩
instance : distrib_lattice (square_grid N) :=
by { dsimp [square_grid], apply_instance }
instance : bounded_order (square_grid N) :=
by { dsimp [square_grid], apply_instance }
variable {N}
def s : self_map (square_grid N) := λ ij, ⟨ij.1, ij.2.reflect⟩
def r : self_map (square_grid N) := λ ij, ⟨ij.2.reflect, ij.1⟩
variable (N)
def p : dihedral.prehom 4 (self_map (square_grid N)) :=
begin
refine_struct {
r := r,
s := s
}; funext ij; rcases ij with ⟨i,j⟩;
simp [self_map.one_app, self_map.mul_app, r, s, pow_succ, fin.reflect_reflect];
refl
end
instance four_pos : fact (4 > 0) := by apply_instance
instance : mul_action (dihedral 4) (square_grid N) :=
self_map.mul_action_of_hom (p N).to_hom
lemma smul_r₀ (ij : square_grid N) :
(dihedral.r (0 : zmod 4)) • ij = ij := rfl
lemma smul_r₁ (ij : square_grid N) :
(dihedral.r (1 : zmod 4)) • ij = ⟨ij.2.reflect, ij.1⟩ := rfl
lemma smul_r₂ (ij : (square_grid N)) :
(dihedral.r (2 : zmod 4)) • ij = ⟨ij.1.reflect, ij.2.reflect⟩ :=
begin
change ((p N).to_hom) (dihedral.r (2 : zmod 4)) ij = _,
rw [dihedral.prehom.to_hom.map_r (p N) 2],
change r (r ij) = _,
simp only [r, fin.reflect_reflect],
end
lemma smul_r₃ (ij : (square_grid N)) :
(dihedral.r (3 : zmod 4)) • ij = ⟨ij.2, ij.1.reflect⟩ :=
begin
change ((p N).to_hom) (dihedral.r (3 : zmod 4)) ij = _,
rw [dihedral.prehom.to_hom.map_r (p N) 3],
change r (r (r ij)) = _,
simp only [r, fin.reflect_reflect],
end
lemma smul_s₀ (ij : (square_grid N)) :
(dihedral.s (0 : zmod 4)) • ij = ⟨ij.1, ij.2.reflect⟩ := rfl
lemma smul_s₁ (ij : (square_grid N)) :
(dihedral.s (1 : zmod 4)) • ij = ⟨ij.2, ij.1⟩ :=
begin
change ((p N).to_hom) (dihedral.s (1 : zmod 4)) ij = _,
rw [dihedral.prehom.to_hom.map_s (p N) 1,
self_map.mul_app],
change r (s ij) = _, simp only [s, r, fin.reflect_reflect],
end
lemma smul_s₂ (ij : (square_grid N)) :
(dihedral.s (2 : zmod 4)) • ij = ⟨ij.1.reflect, ij.2⟩ :=
begin
change ((p N).to_hom) (dihedral.s (2 : zmod 4)) ij = _,
rw [dihedral.prehom.to_hom.map_s (p N) 2],
change r (r (s ij)) = _,
simp only [s, r, fin.reflect_reflect],
end
lemma smul_s₃ (ij : (square_grid N)) :
(dihedral.s (3 : zmod 4)) • ij = ⟨ij.2.reflect, ij.1.reflect⟩ :=
begin
change ((p N).to_hom) (dihedral.s (3 : zmod 4)) ij = _,
rw [dihedral.prehom.to_hom.map_s (p N) 3],
change r (r (r (s ij))) = _,
simp only [s, r, fin.reflect_reflect],
end
def subsets := finset (square_grid N)
namespace subsets
instance : decidable_eq (subsets N) :=
by { dsimp [subsets], apply_instance }
instance : has_repr (subsets N) :=
by { dsimp [subsets], apply_instance }
instance : mul_action (dihedral 4) (subsets N) :=
by { dsimp [subsets], apply_instance }
end subsets
@[derive decidable_eq]
structure dim := (w h : ℕ)
namespace dim
def flip : dim → dim := λ d, ⟨d.h, d.w⟩
lemma flip_h (d : dim) : d.flip.h = d.w := rfl
lemma flip_w (d : dim) : d.flip.w = d.h := rfl
lemma flip_flip (d : dim) : d.flip.flip = d := by { cases d, refl }
def smul₀ : (dihedral 4) → dim → dim
| (dihedral.r i) d := cond i.val.bodd d.flip d
| (dihedral.s i) d := cond i.val.bodd d d.flip
lemma bodd_mod4 (i : ℕ) : (i % 4).bodd = i.bodd :=
begin
have : nat.bodd 4 = ff := rfl,
rw[← congr_arg nat.bodd (nat.mod_add_div i 4),
nat.bodd_add, nat.bodd_mul, this, ff_band, bxor_ff ]
end
lemma bodd_add (i j : zmod 4) : (i + j).val.bodd =
bxor i.val.bodd j.val.bodd :=
by { rw [← nat.bodd_add,zmod.val_add], exact bodd_mod4 (i.val + j.val) }
lemma bodd_sub (i j : zmod 4) : (i - j).val.bodd =
bxor i.val.bodd j.val.bodd :=
begin
have := bodd_add (i - j) j,
rw [sub_add_cancel] at this,
have := congr_fun (congr_arg bxor this) j.val.bodd,
rw [bool.bxor_assoc, bxor_self, bxor_ff] at this,
exact this.symm
end
instance : mul_action (dihedral 4) dim := {
smul := smul₀,
one_smul := λ ⟨_,_⟩, rfl,
mul_smul := λ g h d,
begin
cases d with a b,
cases g with i i; cases h with j j;
simp only [smul₀, bodd_add, bodd_sub,
dihedral.rr_mul, dihedral.rs_mul,
dihedral.sr_mul, dihedral.ss_mul];
cases i.val.bodd; cases j.val.bodd;
simp only [bxor, cond, flip_flip]; split; refl
end
}
end dim
@[derive decidable_eq]
structure box :=
(i j k l : fin N.succ) (hik : i ≤ k) (hjl : j ≤ l)
namespace box
variable {N}
@[ext] lemma ext (x y : box N) :
x.i = y.i → x.j = y.j → x.k = y.k → x.l = y.l → x = y :=
by { cases x, cases y, simp only [], rintro ⟨_⟩ ⟨_⟩ ⟨_⟩ ⟨_⟩, cc }
def bottom_left : (box N) → (square_grid N)
| ⟨i,j,k,l,_,_⟩ := ⟨i,j⟩
def bottom_right : (box N) → (square_grid N)
| ⟨i,j,k,l,_,_⟩ := ⟨k,j⟩
def top_left : (box N) → (square_grid N)
| ⟨i,j,k,l,_,_⟩ := ⟨i,l⟩
def top_right : (box N) → (square_grid N)
| ⟨i,j,k,l,_,_⟩ := ⟨k,l⟩
def size : (box N) → dim
| ⟨i,j,k,l,_,_⟩ := ⟨k - i, l - j⟩
def r : self_map (box N)
| ⟨i,j,k,l,hik,hjl⟩ :=
⟨l.reflect, i, j.reflect, k, fin.reflect_le hjl, hik⟩
def s : self_map (box N)
| ⟨i,j,k,l,hik,hjl⟩ :=
⟨i,l.reflect,k,j.reflect,hik, fin.reflect_le hjl⟩
variable (N)
def p : dihedral.prehom 4 (self_map (box N)) :=
begin
have hc : ((4 : ℕ+) : ℕ) = 4 := rfl,
have hp : (r ^ 4 : self_map (box N)) = r * r * r * r :=
by simp only [pow_succ, pow_zero, mul_assoc, mul_one],
refine_struct {
r := r, s := s
};
ext x; cases x with i j k l h₀ h₁;
simp only [hc, hp, self_map.mul_app, self_map.one_app,
r, s, fin.reflect_reflect],
end
instance : mul_action (dihedral 4) (box N) :=
self_map.mul_action_of_hom (p N).to_hom
lemma smul_r₀ (x : box N) :
(dihedral.r (0 : zmod 4)) • x = x := rfl
lemma smul_r₁ (x : box N) :
(dihedral.r (1 : zmod 4)) • x =
box.mk x.l.reflect x.i x.j.reflect x.k
(fin.reflect_le x.hjl) x.hik :=
by { cases x, refl }
lemma smul_r₂ (x : box N) :
(dihedral.r (2 : zmod 4)) • x =
box.mk x.k.reflect x.l.reflect x.i.reflect x.j.reflect
(fin.reflect_le x.hik) (fin.reflect_le x.hjl) :=
by { cases x, refl }
lemma smul_r₃ (x : box N) :
(dihedral.r (3 : zmod 4)) • x =
box.mk x.j x.k.reflect x.l x.i.reflect
x.hjl (fin.reflect_le x.hik) :=
by { change (r * (r * r)) _ = _, cases x,
simp only [self_map.mul_app, r, fin.reflect_reflect], cc }
lemma smul_s₀ (x : box N) :
(dihedral.s (0 : zmod 4)) • x =
box.mk x.i x.l.reflect x.k x.j.reflect
x.hik (fin.reflect_le x.hjl) :=
by { cases x, refl }
lemma smul_s₁ (x : box N) :
(dihedral.s (1 : zmod 4)) • x =
box.mk x.j x.i x.l x.k x.hjl x.hik :=
by { change (r * s) _ = _, cases x,
simp only [self_map.mul_app, r, s, fin.reflect_reflect], cc }
lemma smul_s₂ (x : box N) :
(dihedral.s (2 : zmod 4)) • x =
box.mk x.k.reflect x.j x.i.reflect x.l
(fin.reflect_le x.hik) x.hjl :=
by { change (r * r * s) _ = _, cases x,
simp only [self_map.mul_app, r, s, fin.reflect_reflect], cc }
lemma smul_s₃ (x : box N) :
(dihedral.s (3 : zmod 4)) • x =
box.mk x.l.reflect x.k.reflect x.j.reflect x.i.reflect
(fin.reflect_le x.hjl) (fin.reflect_le x.hik) :=
by { change (r * r * r * s) _ = _, cases x,
simp only [self_map.mul_app, r, s, fin.reflect_reflect], cc }
def to_subset : ∀ (x : box N), subsets N
| ⟨i,j,k,l,hik,hjl⟩ :=
finset.product (finset.Icc i k) (finset.Icc j l)
end box
variable {N}
namespace subsets
def bounding_box : (subsets N) → (square_grid N) × (square_grid N) :=
λ (xs : finset (square_grid N)), ⟨xs.inf id,xs.sup id⟩
def size (y : subsets N) : ℕ × ℕ :=
let b := y.bounding_box in prod.mk (b.2.1 - b.1.1) (b.2.2 - b.1.2)
def is_horizontal (y : subsets N) : bool := y.size.2 = 0
def is_vertical (y : subsets N) : bool := y.size.1 = 0
end subsets
@[derive decidable_eq]
inductive Z_single (N : ℕ)
| H : (fin N) → (fin N.succ) → Z_single
| V : (fin N.succ) → (fin N) → Z_single
namespace Z_single
def to_string : (Z_single N) → string
| (H i j) := "H" ++ i.val.repr ++ j.val.repr
| (V i j) := "V" ++ i.val.repr ++ j.val.repr
instance : has_repr (Z_single N) := ⟨to_string⟩
def bounding_box : (Z_single N) → (square_grid N) × (square_grid N)
| (H i j) := ⟨⟨i.inc,j⟩,⟨i.succ,j⟩⟩
| (V i j) := ⟨⟨i,j.inc⟩,⟨i,j.succ⟩⟩
def size : (Z_single N) → ℕ × ℕ
| (H _ _) := ⟨1,0⟩
| (V _ _) := ⟨0,1⟩
instance : enumeration (Z_single N) := {
elems :=
((enumeration.elems : list (fin N)).bind
(λ i, (enumeration.elems : list (fin N.succ)).map (Z_single.H i))) ++
((enumeration.elems : list (fin N.succ)).bind
(λ i, (enumeration.elems : list (fin N)).map (Z_single.V i))),
nodup := sorry,
complete := λ z,
begin
cases z with i j i j; rw [list.mem_append],
{ left,
exact @list.mem_bind_of_mem (fin N) (Z_single N) (H i j)
(enumeration.elems : list (fin N))
(λ i, (enumeration.elems : list (fin N.succ)).map (Z_single.H i))
i (enumeration.complete i)
(list.mem_map_of_mem (H i) (enumeration.complete j)) },
{ right,
exact @list.mem_bind_of_mem (fin N.succ) (Z_single N) (V i j)
(enumeration.elems : list (fin N.succ))
(λ i, (enumeration.elems : list (fin N)).map (Z_single.V i))
i (enumeration.complete i)
(list.mem_map_of_mem (V i) (enumeration.complete j)) },
end
}
def to_Y₀ : ∀ (z : Z_single N), list (square_grid N)
| (H i j) := [prod.mk i.inc j, prod.mk i.succ j]
| (V i j) := [prod.mk i j.inc, prod.mk i j.succ]
lemma to_Y₀_nodup (z : Z_single N) : z.to_Y₀.nodup :=
begin
have : ∀ {n : ℕ} (k : fin n), k.inc ≠ k.succ :=
λ n k, ne_of_lt k.inc_lt_succ,
cases z with i j i j; dsimp[to_Y₀];
simp [fin.eq_iff_veq,(nat.succ_ne_self i.val).symm, this]
end
def to_Y (z : Z_single N) : (subsets N) :=
@finset.mk (square_grid N) z.to_Y₀ z.to_Y₀_nodup
lemma to_Y_card (z : Z_single N) : z.to_Y.card = 2 :=
by { cases z with i j i j; refl }
lemma to_Y_bounding_box (z : Z_single N) :
z.to_Y.bounding_box = z.bounding_box :=
begin
cases z with i j i j,
focus {
let u : square_grid N := ⟨i.inc,j⟩,
let v : square_grid N := ⟨i.succ,j⟩,
have huv : u ≤ v := ⟨le_of_lt i.inc_lt_succ,le_refl j⟩, },
swap, focus
{ let u : square_grid N := ⟨i,j.inc⟩,
let v : square_grid N := ⟨i,j.succ⟩,
have huv : u ≤ v := ⟨le_refl i,le_of_lt j.inc_lt_succ⟩ },
all_goals {
change prod.mk (u ⊓ (v ⊓ ⊤)) (u ⊔ (v ⊔ ⊥)) = ⟨u,v⟩,
rw [inf_top_eq, sup_bot_eq],
rw [inf_of_le_left huv, sup_of_le_right huv]
}
end
lemma to_Y_size (z : Z_single N) :
z.to_Y.size = z.size :=
begin
dsimp [subsets.size], rw [to_Y_bounding_box],
rcases z with ⟨⟨i,hi⟩,⟨j,hj⟩⟩ | ⟨⟨i,hi⟩,⟨j,hj⟩⟩,
{ change prod.mk ((i + 1) - i) (j - j) = ⟨1,0⟩,
rw [nat.sub_self, nat.add_sub_cancel_left] },
{ change prod.mk (i - i) ((j + 1) - j) = ⟨0,1⟩,
rw [nat.sub_self, nat.add_sub_cancel_left] }
end
lemma to_Y_inj : function.injective (@to_Y N) :=
begin
intros z₀ z₁ he,
have hb := congr_arg subsets.bounding_box he,
rw [to_Y_bounding_box, to_Y_bounding_box] at hb, clear he,
cases z₀ with i₀ j₀ i₀ j₀; cases z₁ with i₁ j₁ i₁ j₁,
all_goals {
simp only [bounding_box] at hb,
injection hb with hb₀ hb₁,
injection hb₀ with hb₂ hb₃,
injection hb₁ with hb₄ hb₅ },
{ replace hb₄ := fin.succ_inj.mp hb₄, cc },
{ exfalso, exact ne_of_lt (fin.inc_lt_succ i₀) (hb₂.trans hb₄.symm) },
{ exfalso, exact ne_of_lt (fin.inc_lt_succ j₀) (hb₃.trans hb₅.symm) },
{ replace hb₅ := fin.succ_inj.mp hb₅, cc }
end
def s : (Z_single N) → (Z_single N)
| (H i j) := H i j.reflect
| (V i j) := V i j.reflect
def r : (Z_single N) → (Z_single N)
| (H i j) := V j.reflect i
| (V i j) := H j.reflect i
lemma to_Y_s (z : Z_single N) :
(s z).to_Y = (dihedral.s (0 : zmod 4)) • z.to_Y :=
begin
cases z with i j i j; dsimp[s, to_Y, to_Y₀];
change finset.mk _ _ = _;
ext x; cases x with i' j';
simp only [
mul_action.mem_smul_finset', dihedral.s_inv,
finset.mem_mk, multiset.mem_coe,
list.mem_cons_iff, list.mem_singleton,
mul_action.smul_eq_iff_eq_smul_inv];
simp only [smul_s₀,
fin.reflect_inc, fin.reflect_succ, or_comm],
end
lemma to_Y_r (z : Z_single N) :
(r z).to_Y = (dihedral.r (1 : zmod 4)) • z.to_Y :=
begin
cases z with i j i j; dsimp[r, to_Y, to_Y₀];
change finset.mk _ _ = _;
ext x; cases x with i' j';
simp only [
mul_action.mem_smul_finset', dihedral.r_inv, neg_neg,
finset.mem_mk, multiset.mem_coe,
list.mem_cons_iff, list.mem_singleton,
mul_action.smul_eq_iff_eq_smul_inv];
simp only [smul_r₁,
fin.reflect_inc, fin.reflect_succ, or.comm],
end
end Z_single
end square_grid
end combinatorics |
a69dc37087ad98945d4cb8b98e271a4d0ac1e939 | 6dc0c8ce7a76229dd81e73ed4474f15f88a9e294 | /src/Lean/Meta/WHNF.lean | 71914d5ad6c30a31d2decae5490871a423472aa5 | [
"Apache-2.0"
] | permissive | williamdemeo/lean4 | 72161c58fe65c3ad955d6a3050bb7d37c04c0d54 | 6d00fcf1d6d873e195f9220c668ef9c58e9c4a35 | refs/heads/master | 1,678,305,356,877 | 1,614,708,995,000 | 1,614,708,995,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 23,346 | lean | /-
Copyright (c) 2019 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Lean.ToExpr
import Lean.AuxRecursor
import Lean.ProjFns
import Lean.Meta.Basic
import Lean.Meta.LevelDefEq
import Lean.Meta.GetConst
import Lean.Meta.Match.MatcherInfo
namespace Lean.Meta
/- ===========================
Smart unfolding support
=========================== -/
def smartUnfoldingSuffix := "_sunfold"
@[inline] def mkSmartUnfoldingNameFor (declName : Name) : Name :=
Name.mkStr declName smartUnfoldingSuffix
register_builtin_option smartUnfolding : Bool := {
defValue := true
descr := "when computing weak head normal form, use auxiliary definition created for functions defined by structural recursion"
}
/- ===========================
Helper methods
=========================== -/
def isAuxDef (constName : Name) : MetaM Bool := do
let env ← getEnv
return isAuxRecursor env constName || isNoConfusion env constName
@[inline] private def matchConstAux {α} (e : Expr) (failK : Unit → MetaM α) (k : ConstantInfo → List Level → MetaM α) : MetaM α :=
match e with
| Expr.const name lvls _ => do
let (some cinfo) ← getConst? name | failK ()
k cinfo lvls
| _ => failK ()
/- ===========================
Helper functions for reducing recursors
=========================== -/
private def getFirstCtor (d : Name) : MetaM (Option Name) := do
let some (ConstantInfo.inductInfo { ctors := ctor::_, ..}) ← getConstNoEx? d | pure none
return some ctor
private def mkNullaryCtor (type : Expr) (nparams : Nat) : MetaM (Option Expr) :=
match type.getAppFn with
| Expr.const d lvls _ => do
let (some ctor) ← getFirstCtor d | pure none
return mkAppN (mkConst ctor lvls) (type.getAppArgs.shrink nparams)
| _ =>
return none
def toCtorIfLit : Expr → Expr
| Expr.lit (Literal.natVal v) _ =>
if v == 0 then mkConst `Nat.zero
else mkApp (mkConst `Nat.succ) (mkNatLit (v-1))
| Expr.lit (Literal.strVal v) _ =>
mkApp (mkConst `String.mk) (toExpr v.toList)
| e => e
private def getRecRuleFor (recVal : RecursorVal) (major : Expr) : Option RecursorRule :=
match major.getAppFn with
| Expr.const fn _ _ => recVal.rules.find? fun r => r.ctor == fn
| _ => none
private def toCtorWhenK (recVal : RecursorVal) (major : Expr) : MetaM (Option Expr) := do
let majorType ← inferType major
let majorType ← whnf majorType
let majorTypeI := majorType.getAppFn
if !majorTypeI.isConstOf recVal.getInduct then
return none
else if majorType.hasExprMVar && majorType.getAppArgs[recVal.numParams:].any Expr.hasExprMVar then
return none
else do
let (some newCtorApp) ← mkNullaryCtor majorType recVal.numParams | pure none
let newType ← inferType newCtorApp
if (← isDefEq majorType newType) then
return newCtorApp
else
return none
/-- Auxiliary function for reducing recursor applications. -/
private def reduceRec {α} (recVal : RecursorVal) (recLvls : List Level) (recArgs : Array Expr) (failK : Unit → MetaM α) (successK : Expr → MetaM α) : MetaM α :=
let majorIdx := recVal.getMajorIdx
if h : majorIdx < recArgs.size then do
let major := recArgs.get ⟨majorIdx, h⟩
let mut major ← whnf major
if recVal.k then
let newMajor ← toCtorWhenK recVal major
major := newMajor.getD major
let major := toCtorIfLit major
match getRecRuleFor recVal major with
| some rule =>
let majorArgs := major.getAppArgs
if recLvls.length != recVal.levelParams.length then
failK ()
else
let rhs := rule.rhs.instantiateLevelParams recVal.levelParams recLvls
-- Apply parameters, motives and minor premises from recursor application.
let rhs := mkAppRange rhs 0 (recVal.numParams+recVal.numMotives+recVal.numMinors) recArgs
/- The number of parameters in the constructor is not necessarily
equal to the number of parameters in the recursor when we have
nested inductive types. -/
let nparams := majorArgs.size - rule.nfields
let rhs := mkAppRange rhs nparams majorArgs.size majorArgs
let rhs := mkAppRange rhs (majorIdx + 1) recArgs.size recArgs
successK rhs
| none => failK ()
else
failK ()
/- ===========================
Helper functions for reducing Quot.lift and Quot.ind
=========================== -/
/-- Auxiliary function for reducing `Quot.lift` and `Quot.ind` applications. -/
private def reduceQuotRec {α} (recVal : QuotVal) (recLvls : List Level) (recArgs : Array Expr) (failK : Unit → MetaM α) (successK : Expr → MetaM α) : MetaM α :=
let process (majorPos argPos : Nat) : MetaM α :=
if h : majorPos < recArgs.size then do
let major := recArgs.get ⟨majorPos, h⟩
let major ← whnf major
match major with
| Expr.app (Expr.app (Expr.app (Expr.const majorFn _ _) _ _) _ _) majorArg _ => do
let some (ConstantInfo.quotInfo { kind := QuotKind.ctor, .. }) ← getConstNoEx? majorFn | failK ()
let f := recArgs[argPos]
let r := mkApp f majorArg
let recArity := majorPos + 1
successK $ mkAppRange r recArity recArgs.size recArgs
| _ => failK ()
else
failK ()
match recVal.kind with
| QuotKind.lift => process 5 3
| QuotKind.ind => process 4 3
| _ => failK ()
/- ===========================
Helper function for extracting "stuck term"
=========================== -/
mutual
private partial def isRecStuck? (recVal : RecursorVal) (recLvls : List Level) (recArgs : Array Expr) : MetaM (Option MVarId) :=
if recVal.k then
-- TODO: improve this case
return none
else do
let majorIdx := recVal.getMajorIdx
if h : majorIdx < recArgs.size then do
let major := recArgs.get ⟨majorIdx, h⟩
let major ← whnf major
getStuckMVar? major
else
return none
private partial def isQuotRecStuck? (recVal : QuotVal) (recLvls : List Level) (recArgs : Array Expr) : MetaM (Option MVarId) :=
let process? (majorPos : Nat) : MetaM (Option MVarId) :=
if h : majorPos < recArgs.size then do
let major := recArgs.get ⟨majorPos, h⟩
let major ← whnf major
getStuckMVar? major
else
return none
match recVal.kind with
| QuotKind.lift => process? 5
| QuotKind.ind => process? 4
| _ => return none
/-- Return `some (Expr.mvar mvarId)` if metavariable `mvarId` is blocking reduction. -/
partial def getStuckMVar? : Expr → MetaM (Option MVarId)
| Expr.mdata _ e _ => getStuckMVar? e
| Expr.proj _ _ e _ => do getStuckMVar? (← whnf e)
| e@(Expr.mvar ..) => do
let e ← instantiateMVars e
match e with
| Expr.mvar mvarId _ => pure (some mvarId)
| _ => getStuckMVar? e
| e@(Expr.app f _ _) =>
let f := f.getAppFn
match f with
| Expr.mvar mvarId _ => return some mvarId
| Expr.const fName fLvls _ => do
let cinfo? ← getConstNoEx? fName
match cinfo? with
| some $ ConstantInfo.recInfo recVal => isRecStuck? recVal fLvls e.getAppArgs
| some $ ConstantInfo.quotInfo recVal => isQuotRecStuck? recVal fLvls e.getAppArgs
| _ => return none
| _ => return none
| _ => return none
end
/- ===========================
Weak Head Normal Form auxiliary combinators
=========================== -/
/-- Auxiliary combinator for handling easy WHNF cases. It takes a function for handling the "hard" cases as an argument -/
@[specialize] private partial def whnfEasyCases (e : Expr) (k : Expr → MetaM Expr) : MetaM Expr := do
match e with
| Expr.forallE .. => return e
| Expr.lam .. => return e
| Expr.sort .. => return e
| Expr.lit .. => return e
| Expr.bvar .. => unreachable!
| Expr.letE .. => k e
| Expr.const .. => k e
| Expr.app .. => k e
| Expr.proj .. => k e
| Expr.mdata _ e _ => whnfEasyCases e k
| Expr.fvar fvarId _ =>
let decl ← getLocalDecl fvarId
match decl with
| LocalDecl.cdecl .. => return e
| LocalDecl.ldecl (value := v) (nonDep := nonDep) .. =>
let cfg ← getConfig
if nonDep && !cfg.zetaNonDep then
return e
else
when cfg.trackZeta do
modify fun s => { s with zetaFVarIds := s.zetaFVarIds.insert fvarId }
whnfEasyCases v k
| Expr.mvar mvarId _ =>
match (← getExprMVarAssignment? mvarId) with
| some v => whnfEasyCases v k
| none => return e
/-- Return true iff term is of the form `idRhs ...` -/
private def isIdRhsApp (e : Expr) : Bool :=
e.isAppOf `idRhs
/-- (@idRhs T f a_1 ... a_n) ==> (f a_1 ... a_n) -/
private def extractIdRhs (e : Expr) : Expr :=
if !isIdRhsApp e then e
else
let args := e.getAppArgs
if args.size < 2 then e
else mkAppRange args[1] 2 args.size args
@[specialize] private def deltaDefinition {α} (c : ConstantInfo) (lvls : List Level)
(failK : Unit → α) (successK : Expr → α) : α :=
if c.levelParams.length != lvls.length then failK ()
else
let val := c.instantiateValueLevelParams lvls
successK (extractIdRhs val)
@[specialize] private def deltaBetaDefinition {α} (c : ConstantInfo) (lvls : List Level) (revArgs : Array Expr)
(failK : Unit → α) (successK : Expr → α) : α :=
if c.levelParams.length != lvls.length then
failK ()
else
let val := c.instantiateValueLevelParams lvls
let val := val.betaRev revArgs
successK (extractIdRhs val)
inductive ReduceMatcherResult where
| reduced (val : Expr)
| stuck (val : Expr)
| notMatcher
| partialApp
def reduceMatcher? (e : Expr) : MetaM ReduceMatcherResult := do
match e.getAppFn with
| Expr.const declName declLevels _ =>
let some info ← getMatcherInfo? declName
| return ReduceMatcherResult.notMatcher
let args := e.getAppArgs
let prefixSz := info.numParams + 1 + info.numDiscrs
if args.size < prefixSz + info.numAlts then
return ReduceMatcherResult.partialApp
else
let constInfo ← getConstInfo declName
let f := constInfo.instantiateValueLevelParams declLevels
let auxApp := mkAppN f args[0:prefixSz]
let auxAppType ← inferType auxApp
forallBoundedTelescope auxAppType info.numAlts fun hs _ => do
let auxApp := mkAppN auxApp hs
let auxApp ← whnf auxApp
let auxAppFn := auxApp.getAppFn
let mut i := prefixSz
for h in hs do
if auxAppFn == h then
let result := mkAppN args[i] auxApp.getAppArgs
let result := mkAppN result args[prefixSz + info.numAlts:args.size]
return ReduceMatcherResult.reduced result.headBeta
i := i + 1
return ReduceMatcherResult.stuck auxApp
| _ => pure ReduceMatcherResult.notMatcher
/- Given an expression `e`, compute its WHNF and if the result is a constructor, return field #i. -/
def project? (e : Expr) (i : Nat) : MetaM (Option Expr) := do
let e ← whnf e
matchConstCtor e.getAppFn (fun _ => pure none) fun ctorVal _ =>
let numArgs := e.getAppNumArgs
let idx := ctorVal.numParams + i
if idx < numArgs then
return some (e.getArg! idx)
else
return none
def reduceProj? (e : Expr) : MetaM (Option Expr) := do
match e with
| Expr.proj _ i c _ => project? c i
| _ => return none
/-
Auxiliary method for reducing terms of the form `?m t_1 ... t_n` where `?m` is delayed assigned.
Recall that we can only expand a delayed assignment when all holes/metavariables in the assigned value have been "filled".
-/
private def whnfDelayedAssigned? (f' : Expr) (e : Expr) : MetaM (Option Expr) := do
if f'.isMVar then
match (← getDelayedAssignment? f'.mvarId!) with
| none => return none
| some { fvars := fvars, val := val, .. } =>
let args := e.getAppArgs
if fvars.size > args.size then
-- Insufficient number of argument to expand delayed assignment
return none
else
let newVal ← instantiateMVars val
if newVal.hasExprMVar then
-- Delayed assignment still contains metavariables
return none
else
let newVal := newVal.abstract fvars
let result := newVal.instantiateRevRange 0 fvars.size args
return mkAppRange result fvars.size args.size args
else
return none
/--
Apply beta-reduction, zeta-reduction (i.e., unfold let local-decls), iota-reduction,
expand let-expressions, expand assigned meta-variables. -/
partial def whnfCore (e : Expr) : MetaM Expr :=
whnfEasyCases e fun e => do
trace[Meta.whnf]! e
match e with
| Expr.const .. => pure e
| Expr.letE _ _ v b _ => whnfCore $ b.instantiate1 v
| Expr.app f .. =>
let f := f.getAppFn
let f' ← whnfCore f
if f'.isLambda then
let revArgs := e.getAppRevArgs
whnfCore <| f'.betaRev revArgs
else if let some eNew ← whnfDelayedAssigned? f' e then
whnfCore eNew
else
let e := if f == f' then e else e.updateFn f'
match (← reduceMatcher? e) with
| ReduceMatcherResult.reduced eNew => whnfCore eNew
| ReduceMatcherResult.partialApp => pure e
| ReduceMatcherResult.stuck _ => pure e
| ReduceMatcherResult.notMatcher =>
matchConstAux f' (fun _ => return e) fun cinfo lvls =>
match cinfo with
| ConstantInfo.recInfo rec => reduceRec rec lvls e.getAppArgs (fun _ => return e) whnfCore
| ConstantInfo.quotInfo rec => reduceQuotRec rec lvls e.getAppArgs (fun _ => return e) whnfCore
| c@(ConstantInfo.defnInfo _) => do
if (← isAuxDef c.name) then
deltaBetaDefinition c lvls e.getAppRevArgs (fun _ => return e) whnfCore
else
return e
| _ => return e
| Expr.proj .. => match (← reduceProj? e) with
| some e => whnfCore e
| none => return e
| _ => unreachable!
mutual
/-- Reduce `e` until `idRhs` application is exposed or it gets stuck.
This is a helper method for implementing smart unfolding. -/
private partial def whnfUntilIdRhs (e : Expr) : MetaM Expr := do
let e ← whnfCore e
match (← getStuckMVar? e) with
| some mvarId =>
/- Try to "unstuck" by resolving pending TC problems -/
if (← Meta.synthPending mvarId) then
whnfUntilIdRhs e
else
return e -- failed because metavariable is blocking reduction
| _ =>
if isIdRhsApp e then
return e -- done
else
match (← unfoldDefinition? e) with
| some e => whnfUntilIdRhs e
| none => pure e -- failed because of symbolic argument
/--
Auxiliary method for unfolding a class projection when transparency is set to `TransparencyMode.instances`.
Recall that that class instance projections are not marked with `[reducible]` because we want them to be
in "reducible canonical form".
-/
private partial def unfoldProjInst (e : Expr) : MetaM (Option Expr) := do
if (← getTransparency) != TransparencyMode.instances then
return none
else
match e.getAppFn with
| Expr.const declName .. =>
match (← getProjectionFnInfo? declName) with
| some { fromClass := true, .. } =>
match (← withDefault <| unfoldDefinition? e) with
| none => return none
| some e =>
match (← reduceProj? e.getAppFn) with
| none => return none
| some r => return mkAppN r e.getAppArgs |>.headBeta
| _ => return none
| _ => return none
/-- Unfold definition using "smart unfolding" if possible. -/
partial def unfoldDefinition? (e : Expr) : MetaM (Option Expr) :=
match e with
| Expr.app f _ _ =>
matchConstAux f.getAppFn (fun _ => unfoldProjInst e) fun fInfo fLvls => do
if fInfo.levelParams.length != fLvls.length then
return none
else
let unfoldDefault (_ : Unit) : MetaM (Option Expr) :=
if fInfo.hasValue then
deltaBetaDefinition fInfo fLvls e.getAppRevArgs (fun _ => pure none) (fun e => pure (some e))
else
return none
if smartUnfolding.get (← getOptions) then
let fAuxInfo? ← getConstNoEx? (mkSmartUnfoldingNameFor fInfo.name)
match fAuxInfo? with
| some fAuxInfo@(ConstantInfo.defnInfo _) =>
deltaBetaDefinition fAuxInfo fLvls e.getAppRevArgs (fun _ => pure none) fun e₁ => do
let e₂ ← whnfUntilIdRhs e₁
if isIdRhsApp e₂ then
return some (extractIdRhs e₂)
else
return none
| _ => unfoldDefault ()
else
unfoldDefault ()
| Expr.const declName lvls _ => do
if smartUnfolding.get (← getOptions) && (← getEnv).contains (mkSmartUnfoldingNameFor declName) then
return none
else
let (some (cinfo@(ConstantInfo.defnInfo _))) ← getConstNoEx? declName | pure none
deltaDefinition cinfo lvls
(fun _ => pure none)
(fun e => pure (some e))
| _ => return none
end
def unfoldDefinition (e : Expr) : MetaM Expr := do
let some e ← unfoldDefinition? e | throwError! "failed to unfold definition{indentExpr e}"
return e
@[specialize] partial def whnfHeadPred (e : Expr) (pred : Expr → MetaM Bool) : MetaM Expr :=
whnfEasyCases e fun e => do
let e ← whnfCore e
if (← pred e) then
match (← unfoldDefinition? e) with
| some e => whnfHeadPred e pred
| none => return e
else
return e
def whnfUntil (e : Expr) (declName : Name) : MetaM (Option Expr) := do
let e ← whnfHeadPred e (fun e => return !e.isAppOf declName)
if e.isAppOf declName then
return e
else
return none
/-- Try to reduce matcher/recursor/quot applications. We say they are all "morally" recursor applications. -/
def reduceRecMatcher? (e : Expr) : MetaM (Option Expr) := do
if !e.isApp then
return none
else match (← reduceMatcher? e) with
| ReduceMatcherResult.reduced e => return e
| _ => matchConstAux e.getAppFn (fun _ => pure none) fun cinfo lvls => do
match cinfo with
| ConstantInfo.recInfo «rec» => reduceRec «rec» lvls e.getAppArgs (fun _ => pure none) (fun e => pure (some e))
| ConstantInfo.quotInfo «rec» => reduceQuotRec «rec» lvls e.getAppArgs (fun _ => pure none) (fun e => pure (some e))
| c@(ConstantInfo.defnInfo _) =>
if (← isAuxDef c.name) then
deltaBetaDefinition c lvls e.getAppRevArgs (fun _ => pure none) (fun e => pure (some e))
else
return none
| _ => return none
unsafe def reduceBoolNativeUnsafe (constName : Name) : MetaM Bool := evalConstCheck Bool `Bool constName
unsafe def reduceNatNativeUnsafe (constName : Name) : MetaM Nat := evalConstCheck Nat `Nat constName
@[implementedBy reduceBoolNativeUnsafe] constant reduceBoolNative (constName : Name) : MetaM Bool
@[implementedBy reduceNatNativeUnsafe] constant reduceNatNative (constName : Name) : MetaM Nat
def reduceNative? (e : Expr) : MetaM (Option Expr) :=
match e with
| Expr.app (Expr.const fName _ _) (Expr.const argName _ _) _ =>
if fName == `Lean.reduceBool then do
return toExpr (← reduceBoolNative argName)
else if fName == `Lean.reduceNat then do
return toExpr (← reduceNatNative argName)
else
return none
| _ =>
return none
@[inline] def withNatValue {α} (a : Expr) (k : Nat → MetaM (Option α)) : MetaM (Option α) := do
let a ← whnf a
match a with
| Expr.const `Nat.zero _ _ => k 0
| Expr.lit (Literal.natVal v) _ => k v
| _ => return none
def reduceUnaryNatOp (f : Nat → Nat) (a : Expr) : MetaM (Option Expr) :=
withNatValue a fun a =>
return mkNatLit <| f a
def reduceBinNatOp (f : Nat → Nat → Nat) (a b : Expr) : MetaM (Option Expr) :=
withNatValue a fun a =>
withNatValue b fun b => do
trace[Meta.isDefEq.whnf.reduceBinOp]! "{a} op {b}"
return mkNatLit <| f a b
def reduceBinNatPred (f : Nat → Nat → Bool) (a b : Expr) : MetaM (Option Expr) := do
withNatValue a fun a =>
withNatValue b fun b =>
return toExpr <| f a b
def reduceNat? (e : Expr) : MetaM (Option Expr) :=
if e.hasFVar || e.hasMVar then
return none
else match e with
| Expr.app (Expr.const fn _ _) a _ =>
if fn == `Nat.succ then
reduceUnaryNatOp Nat.succ a
else
return none
| Expr.app (Expr.app (Expr.const fn _ _) a1 _) a2 _ =>
if fn == `Nat.add then reduceBinNatOp Nat.add a1 a2
else if fn == `Nat.sub then reduceBinNatOp Nat.sub a1 a2
else if fn == `Nat.mul then reduceBinNatOp Nat.mul a1 a2
else if fn == `Nat.div then reduceBinNatOp Nat.div a1 a2
else if fn == `Nat.mod then reduceBinNatOp Nat.mod a1 a2
else if fn == `Nat.beq then reduceBinNatPred Nat.beq a1 a2
else if fn == `Nat.ble then reduceBinNatPred Nat.ble a1 a2
else return none
| _ =>
return none
@[inline] private def useWHNFCache (e : Expr) : MetaM Bool := do
-- We cache only closed terms without expr metavars.
-- Potential refinement: cache if `e` is not stuck at a metavariable
if e.hasFVar || e.hasExprMVar then
return false
else
match (← getConfig).transparency with
| TransparencyMode.default => true
| TransparencyMode.all => true
| _ => false
@[inline] private def cached? (useCache : Bool) (e : Expr) : MetaM (Option Expr) := do
if useCache then
match (← getConfig).transparency with
| TransparencyMode.default => return (← get).cache.whnfDefault.find? e
| TransparencyMode.all => return (← get).cache.whnfAll.find? e
| _ => unreachable!
else
return none
private def cache (useCache : Bool) (e r : Expr) : MetaM Expr := do
if useCache then
match (← getConfig).transparency with
| TransparencyMode.default => modify fun s => { s with cache.whnfDefault := s.cache.whnfDefault.insert e r }
| TransparencyMode.all => modify fun s => { s with cache.whnfAll := s.cache.whnfAll.insert e r }
| _ => unreachable!
return r
partial def whnfImp (e : Expr) : MetaM Expr :=
whnfEasyCases e fun e => do
checkMaxHeartbeats "whnf"
let useCache ← useWHNFCache e
match (← cached? useCache e) with
| some e' => pure e'
| none =>
let e' ← whnfCore e
match (← reduceNat? e') with
| some v => cache useCache e v
| none =>
match (← reduceNative? e') with
| some v => cache useCache e v
| none =>
match (← unfoldDefinition? e') with
| some e => whnfImp e
| none => cache useCache e e'
@[builtinInit] def setWHNFRef : IO Unit :=
whnfRef.set whnfImp
builtin_initialize
registerTraceClass `Meta.whnf
end Lean.Meta
|
365f9654c9ce38f5d2b17a493459e199917c2a2b | 6432ea7a083ff6ba21ea17af9ee47b9c371760f7 | /tests/lean/run/1372.lean | 634521784a66c9d385ea96342265b66ba1e518d4 | [
"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 | 792 | lean | example (x₁ x₂ y₁ y₂ : Nat) : (x₁ + x₂) + (y₁ + y₂) = (x₁ + y₁) + (x₂ + y₂) := by
calc (x₁ + x₂) + (y₁ + y₂)
= x₁ + (x₂ + (y₁ + y₂)) := by rw [Nat.add_assoc]
_ = x₁ + (y₁ + (x₂ + y₂)) := by rw [Nat.add_left_comm x₂ y₁ y₂]
_ = (x₁ + y₁) + (x₂ + y₂) := by rw [Nat.add_assoc]
example (n x₁ x₂ y₁ y₂ : Nat) : n = 0 → (x₁ + x₂) + (y₁ + y₂) = (x₁ + y₁) + (x₂ + y₂) := by
intro h
induction n with
| zero =>
calc (x₁ + x₂) + (y₁ + y₂)
= x₁ + (x₂ + (y₁ + y₂)) := by rw [Nat.add_assoc]
_ = x₁ + (y₁ + (x₂ + y₂)) := by rw [Nat.add_left_comm x₂ y₁ y₂]
_ = (x₁ + y₁) + (x₂ + y₂) := by rw [Nat.add_assoc]
| succ _ _ => contradiction
|
2a32b17e53f3e8f81ada0f87a57b63ee05ebb8f4 | 02005f45e00c7ecf2c8ca5db60251bd1e9c860b5 | /src/analysis/calculus/times_cont_diff.lean | b00849920adfa0dbe4c589e024308b86a544c08a | [
"Apache-2.0"
] | permissive | anthony2698/mathlib | 03cd69fe5c280b0916f6df2d07c614c8e1efe890 | 407615e05814e98b24b2ff322b14e8e3eb5e5d67 | refs/heads/master | 1,678,792,774,873 | 1,614,371,563,000 | 1,614,371,563,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 136,287 | lean | /-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import analysis.calculus.mean_value
import analysis.calculus.formal_multilinear_series
/-!
# Higher differentiability
A function is `C^1` on a domain if it is differentiable there, and its derivative is continuous.
By induction, it is `C^n` if it is `C^{n-1}` and its (n-1)-th derivative is `C^1` there or,
equivalently, if it is `C^1` and its derivative is `C^{n-1}`.
Finally, it is `C^∞` if it is `C^n` for all n.
We formalize these notions by defining iteratively the `n+1`-th derivative of a function as the
derivative of the `n`-th derivative. It is called `iterated_fderiv 𝕜 n f x` where `𝕜` is the
field, `n` is the number of iterations, `f` is the function and `x` is the point, and it is given
as an `n`-multilinear map. We also define a version `iterated_fderiv_within` relative to a domain,
as well as predicates `times_cont_diff_within_at`, `times_cont_diff_at`, `times_cont_diff_on` and
`times_cont_diff` saying that the function is `C^n` within a set at a point, at a point, on a set
and on the whole space respectively.
To avoid the issue of choice when choosing a derivative in sets where the derivative is not
necessarily unique, `times_cont_diff_on` is not defined directly in terms of the
regularity of the specific choice `iterated_fderiv_within 𝕜 n f s` inside `s`, but in terms of the
existence of a nice sequence of derivatives, expressed with a predicate
`has_ftaylor_series_up_to_on`.
We prove basic properties of these notions.
## Main definitions and results
Let `f : E → F` be a map between normed vector spaces over a nondiscrete normed field `𝕜`.
* `has_ftaylor_series_up_to n f p`: expresses that the formal multilinear series `p` is a sequence
of iterated derivatives of `f`, up to the `n`-th term (where `n` is a natural number or `∞`).
* `has_ftaylor_series_up_to_on n f p s`: same thing, but inside a set `s`. The notion of derivative
is now taken inside `s`. In particular, derivatives don't have to be unique.
* `times_cont_diff 𝕜 n f`: expresses that `f` is `C^n`, i.e., it admits a Taylor series up to
rank `n`.
* `times_cont_diff_on 𝕜 n f s`: expresses that `f` is `C^n` in `s`.
* `times_cont_diff_at 𝕜 n f x`: expresses that `f` is `C^n` around `x`.
* `times_cont_diff_within_at 𝕜 n f s x`: expresses that `f` is `C^n` around `x` within the set `s`.
* `iterated_fderiv_within 𝕜 n f s x` is an `n`-th derivative of `f` over the field `𝕜` on the
set `s` at the point `x`. It is a continuous multilinear map from `E^n` to `F`, defined as a
derivative within `s` of `iterated_fderiv_within 𝕜 (n-1) f s` if one exists, and `0` otherwise.
* `iterated_fderiv 𝕜 n f x` is the `n`-th derivative of `f` over the field `𝕜` at the point `x`.
It is a continuous multilinear map from `E^n` to `F`, defined as a derivative of
`iterated_fderiv 𝕜 (n-1) f` if one exists, and `0` otherwise.
In sets of unique differentiability, `times_cont_diff_on 𝕜 n f s` can be expressed in terms of the
properties of `iterated_fderiv_within 𝕜 m f s` for `m ≤ n`. In the whole space,
`times_cont_diff 𝕜 n f` can be expressed in terms of the properties of `iterated_fderiv 𝕜 m f`
for `m ≤ n`.
We also prove that the usual operations (addition, multiplication, difference, composition, and
so on) preserve `C^n` functions.
## Implementation notes
The definitions in this file are designed to work on any field `𝕜`. They are sometimes slightly more
complicated than the naive definitions one would guess from the intuition over the real or complex
numbers, but they are designed to circumvent the lack of gluing properties and partitions of unity
in general. In the usual situations, they coincide with the usual definitions.
### Definition of `C^n` functions in domains
One could define `C^n` functions in a domain `s` by fixing an arbitrary choice of derivatives (this
is what we do with `iterated_fderiv_within`) and requiring that all these derivatives up to `n` are
continuous. If the derivative is not unique, this could lead to strange behavior like two `C^n`
functions `f` and `g` on `s` whose sum is not `C^n`. A better definition is thus to say that a
function is `C^n` inside `s` if it admits a sequence of derivatives up to `n` inside `s`.
This definition still has the problem that a function which is locally `C^n` would not need to
be `C^n`, as different choices of sequences of derivatives around different points might possibly
not be glued together to give a globally defined sequence of derivatives. (Note that this issue
can not happen over reals, thanks to partition of unity, but the behavior over a general field is
not so clear, and we want a definition for general fields). Also, there are locality
problems for the order parameter: one could image a function which, for each `n`, has a nice
sequence of derivatives up to order `n`, but they do not coincide for varying `n` and can therefore
not be glued to give rise to an infinite sequence of derivatives. This would give a function
which is `C^n` for all `n`, but not `C^∞`. We solve this issue by putting locality conditions
in space and order in our definition of `times_cont_diff_within_at` and `times_cont_diff_on`.
The resulting definition is slightly more complicated to work with (in fact not so much), but it
gives rise to completely satisfactory theorems.
For instance, with this definition, a real function which is `C^m` (but not better) on `(-1/m, 1/m)`
for each natural `m` is by definition `C^∞` at `0`.
There is another issue with the definition of `times_cont_diff_within_at 𝕜 n f s x`. We can
require the existence and good behavior of derivatives up to order `n` on a neighborhood of `x`
within `s`. However, this does not imply continuity or differentiability within `s` of the function
at `x` when `x` does not belong to `s`. Therefore, we require such existence and good behavior on
a neighborhood of `x` within `s ∪ {x}` (which appears as `insert x s` in this file).
### Side of the composition, and universe issues
With a naïve direct definition, the `n`-th derivative of a function belongs to the space
`E →L[𝕜] (E →L[𝕜] (E ... F)...)))` where there are n iterations of `E →L[𝕜]`. This space
may also be seen as the space of continuous multilinear functions on `n` copies of `E` with
values in `F`, by uncurrying. This is the point of view that is usually adopted in textbooks,
and that we also use. This means that the definition and the first proofs are slightly involved,
as one has to keep track of the uncurrying operation. The uncurrying can be done from the
left or from the right, amounting to defining the `n+1`-th derivative either as the derivative of
the `n`-th derivative, or as the `n`-th derivative of the derivative.
For proofs, it would be more convenient to use the latter approach (from the right),
as it means to prove things at the `n+1`-th step we only need to understand well enough the
derivative in `E →L[𝕜] F` (contrary to the approach from the left, where one would need to know
enough on the `n`-th derivative to deduce things on the `n+1`-th derivative).
However, the definition from the right leads to a universe polymorphism problem: if we define
`iterated_fderiv 𝕜 (n + 1) f x = iterated_fderiv 𝕜 n (fderiv 𝕜 f) x` by induction, we need to
generalize over all spaces (as `f` and `fderiv 𝕜 f` don't take values in the same space). It is
only possible to generalize over all spaces in some fixed universe in an inductive definition.
For `f : E → F`, then `fderiv 𝕜 f` is a map `E → (E →L[𝕜] F)`. Therefore, the definition will only
work if `F` and `E →L[𝕜] F` are in the same universe.
This issue does not appear with the definition from the left, where one does not need to generalize
over all spaces. Therefore, we use the definition from the left. This means some proofs later on
become a little bit more complicated: to prove that a function is `C^n`, the most efficient approach
is to exhibit a formula for its `n`-th derivative and prove it is continuous (contrary to the
inductive approach where one would prove smoothness statements without giving a formula for the
derivative). In the end, this approach is still satisfactory as it is good to have formulas for the
iterated derivatives in various constructions.
One point where we depart from this explicit approach is in the proof of smoothness of a
composition: there is a formula for the `n`-th derivative of a composition (Faà di Bruno's formula),
but it is very complicated and barely usable, while the inductive proof is very simple. Thus, we
give the inductive proof. As explained above, it works by generalizing over the target space, hence
it only works well if all spaces belong to the same universe. To get the general version, we lift
things to a common universe using a trick.
### Variables management
The textbook definitions and proofs use various identifications and abuse of notations, for instance
when saying that the natural space in which the derivative lives, i.e.,
`E →L[𝕜] (E →L[𝕜] ( ... →L[𝕜] F))`, is the same as a space of multilinear maps. When doing things
formally, we need to provide explicit maps for these identifications, and chase some diagrams to see
everything is compatible with the identifications. In particular, one needs to check that taking the
derivative and then doing the identification, or first doing the identification and then taking the
derivative, gives the same result. The key point for this is that taking the derivative commutes
with continuous linear equivalences. Therefore, we need to implement all our identifications with
continuous linear equivs.
## Notations
We use the notation `E [×n]→L[𝕜] F` for the space of continuous multilinear maps on `E^n` with
values in `F`. This is the space in which the `n`-th derivative of a function from `E` to `F` lives.
In this file, we denote `⊤ : with_top ℕ` with `∞`.
## Tags
derivative, differentiability, higher derivative, `C^n`, multilinear, Taylor series, formal series
-/
noncomputable theory
open_locale classical big_operators
local notation `∞` := (⊤ : with_top ℕ)
universes u v w
local attribute [instance, priority 1001]
normed_group.to_add_comm_group normed_space.to_semimodule add_comm_group.to_add_comm_monoid
open set fin
open_locale topological_space
variables {𝕜 : Type*} [nondiscrete_normed_field 𝕜]
{E : Type*} [normed_group E] [normed_space 𝕜 E]
{F : Type*} [normed_group F] [normed_space 𝕜 F]
{G : Type*} [normed_group G] [normed_space 𝕜 G]
{s s₁ t u : set E} {f f₁ : E → F} {g : F → G} {x : E} {c : F}
{b : E × F → G}
/-! ### Functions with a Taylor series on a domain -/
variable {p : E → formal_multilinear_series 𝕜 E F}
/-- `has_ftaylor_series_up_to_on n f p s` registers the fact that `p 0 = f` and `p (m+1)` is a
derivative of `p m` for `m < n`, and is continuous for `m ≤ n`. This is a predicate analogous to
`has_fderiv_within_at` but for higher order derivatives. -/
structure has_ftaylor_series_up_to_on (n : with_top ℕ)
(f : E → F) (p : E → formal_multilinear_series 𝕜 E F) (s : set E) : Prop :=
(zero_eq : ∀ x ∈ s, (p x 0).uncurry0 = f x)
(fderiv_within : ∀ (m : ℕ) (hm : (m : with_top ℕ) < n), ∀ x ∈ s,
has_fderiv_within_at (λ y, p y m) (p x m.succ).curry_left s x)
(cont : ∀ (m : ℕ) (hm : (m : with_top ℕ) ≤ n), continuous_on (λ x, p x m) s)
lemma has_ftaylor_series_up_to_on.zero_eq' {n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s) {x : E} (hx : x ∈ s) :
p x 0 = (continuous_multilinear_curry_fin0 𝕜 E F).symm (f x) :=
by { rw ← h.zero_eq x hx, symmetry, exact continuous_multilinear_map.uncurry0_curry0 _ }
/-- If two functions coincide on a set `s`, then a Taylor series for the first one is as well a
Taylor series for the second one. -/
lemma has_ftaylor_series_up_to_on.congr {n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s) (h₁ : ∀ x ∈ s, f₁ x = f x) :
has_ftaylor_series_up_to_on n f₁ p s :=
begin
refine ⟨λ x hx, _, h.fderiv_within, h.cont⟩,
rw h₁ x hx,
exact h.zero_eq x hx
end
lemma has_ftaylor_series_up_to_on.mono {n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s) {t : set E} (hst : t ⊆ s) :
has_ftaylor_series_up_to_on n f p t :=
⟨λ x hx, h.zero_eq x (hst hx),
λ m hm x hx, (h.fderiv_within m hm x (hst hx)).mono hst,
λ m hm, (h.cont m hm).mono hst⟩
lemma has_ftaylor_series_up_to_on.of_le {m n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s) (hmn : m ≤ n) :
has_ftaylor_series_up_to_on m f p s :=
⟨h.zero_eq,
λ k hk x hx, h.fderiv_within k (lt_of_lt_of_le hk hmn) x hx,
λ k hk, h.cont k (le_trans hk hmn)⟩
lemma has_ftaylor_series_up_to_on.continuous_on {n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s) : continuous_on f s :=
begin
have := (h.cont 0 bot_le).congr (λ x hx, (h.zero_eq' hx).symm),
rwa linear_isometry_equiv.comp_continuous_on_iff at this
end
lemma has_ftaylor_series_up_to_on_zero_iff :
has_ftaylor_series_up_to_on 0 f p s ↔ continuous_on f s ∧ (∀ x ∈ s, (p x 0).uncurry0 = f x) :=
begin
refine ⟨λ H, ⟨H.continuous_on, H.zero_eq⟩,
λ H, ⟨H.2, λ m hm, false.elim (not_le.2 hm bot_le), _⟩⟩,
assume m hm,
have : (m : with_top ℕ) = ((0 : ℕ) : with_bot ℕ) := le_antisymm hm bot_le,
rw with_top.coe_eq_coe at this,
rw this,
have : ∀ x ∈ s, p x 0 = (continuous_multilinear_curry_fin0 𝕜 E F).symm (f x),
by { assume x hx, rw ← H.2 x hx, symmetry, exact continuous_multilinear_map.uncurry0_curry0 _ },
rw [continuous_on_congr this, linear_isometry_equiv.comp_continuous_on_iff],
exact H.1
end
lemma has_ftaylor_series_up_to_on_top_iff :
(has_ftaylor_series_up_to_on ∞ f p s) ↔ (∀ (n : ℕ), has_ftaylor_series_up_to_on n f p s) :=
begin
split,
{ assume H n, exact H.of_le le_top },
{ assume H,
split,
{ exact (H 0).zero_eq },
{ assume m hm,
apply (H m.succ).fderiv_within m (with_top.coe_lt_coe.2 (lt_add_one m)) },
{ assume m hm,
apply (H m).cont m (le_refl _) } }
end
/-- If a function has a Taylor series at order at least `1`, then the term of order `1` of this
series is a derivative of `f`. -/
lemma has_ftaylor_series_up_to_on.has_fderiv_within_at {n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s) (hn : 1 ≤ n) (hx : x ∈ s) :
has_fderiv_within_at f (continuous_multilinear_curry_fin1 𝕜 E F (p x 1)) s x :=
begin
have A : ∀ y ∈ s, f y = (continuous_multilinear_curry_fin0 𝕜 E F) (p y 0),
{ assume y hy, rw ← h.zero_eq y hy, refl },
suffices H : has_fderiv_within_at
(λ y, continuous_multilinear_curry_fin0 𝕜 E F (p y 0))
(continuous_multilinear_curry_fin1 𝕜 E F (p x 1)) s x,
by exact H.congr A (A x hx),
rw linear_isometry_equiv.comp_has_fderiv_within_at_iff',
have : ((0 : ℕ) : with_top ℕ) < n :=
lt_of_lt_of_le (with_top.coe_lt_coe.2 nat.zero_lt_one) hn,
convert h.fderiv_within _ this x hx,
ext y v,
change (p x 1) (snoc 0 y) = (p x 1) (cons y v),
unfold_coes,
congr' with i,
rw unique.eq_default i,
refl
end
lemma has_ftaylor_series_up_to_on.differentiable_on {n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s) (hn : 1 ≤ n) : differentiable_on 𝕜 f s :=
λ x hx, (h.has_fderiv_within_at hn hx).differentiable_within_at
/-- If a function has a Taylor series at order at least `1` on a neighborhood of `x`, then the term
of order `1` of this series is a derivative of `f` at `x`. -/
lemma has_ftaylor_series_up_to_on.has_fderiv_at {n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s) (hn : 1 ≤ n) (hx : s ∈ 𝓝 x) :
has_fderiv_at f (continuous_multilinear_curry_fin1 𝕜 E F (p x 1)) x :=
(h.has_fderiv_within_at hn (mem_of_nhds hx)).has_fderiv_at hx
/-- If a function has a Taylor series at order at least `1` on a neighborhood of `x`, then
in a neighborhood of `x`, the term of order `1` of this series is a derivative of `f`. -/
lemma has_ftaylor_series_up_to_on.eventually_has_fderiv_at {n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s) (hn : 1 ≤ n) (hx : s ∈ 𝓝 x) :
∀ᶠ y in 𝓝 x, has_fderiv_at f (continuous_multilinear_curry_fin1 𝕜 E F (p y 1)) y :=
(eventually_eventually_nhds.2 hx).mono $ λ y hy, h.has_fderiv_at hn hy
/-- If a function has a Taylor series at order at least `1` on a neighborhood of `x`, then
it is differentiable at `x`. -/
lemma has_ftaylor_series_up_to_on.differentiable_at {n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s) (hn : 1 ≤ n) (hx : s ∈ 𝓝 x) :
differentiable_at 𝕜 f x :=
(h.has_fderiv_at hn hx).differentiable_at
/-- `p` is a Taylor series of `f` up to `n+1` if and only if `p` is a Taylor series up to `n`, and
`p (n + 1)` is a derivative of `p n`. -/
theorem has_ftaylor_series_up_to_on_succ_iff_left {n : ℕ} :
has_ftaylor_series_up_to_on (n + 1) f p s ↔
has_ftaylor_series_up_to_on n f p s
∧ (∀ x ∈ s, has_fderiv_within_at (λ y, p y n) (p x n.succ).curry_left s x)
∧ continuous_on (λ x, p x (n + 1)) s :=
begin
split,
{ assume h,
exact ⟨h.of_le (with_top.coe_le_coe.2 (nat.le_succ n)),
h.fderiv_within _ (with_top.coe_lt_coe.2 (lt_add_one n)),
h.cont (n + 1) (le_refl _)⟩ },
{ assume h,
split,
{ exact h.1.zero_eq },
{ assume m hm,
by_cases h' : m < n,
{ exact h.1.fderiv_within m (with_top.coe_lt_coe.2 h') },
{ have : m = n := nat.eq_of_lt_succ_of_not_lt (with_top.coe_lt_coe.1 hm) h',
rw this,
exact h.2.1 } },
{ assume m hm,
by_cases h' : m ≤ n,
{ apply h.1.cont m (with_top.coe_le_coe.2 h') },
{ have : m = (n + 1) := le_antisymm (with_top.coe_le_coe.1 hm) (not_le.1 h'),
rw this,
exact h.2.2 } } }
end
/-- `p` is a Taylor series of `f` up to `n+1` if and only if `p.shift` is a Taylor series up to `n`
for `p 1`, which is a derivative of `f`. -/
theorem has_ftaylor_series_up_to_on_succ_iff_right {n : ℕ} :
has_ftaylor_series_up_to_on ((n + 1) : ℕ) f p s ↔
(∀ x ∈ s, (p x 0).uncurry0 = f x)
∧ (∀ x ∈ s, has_fderiv_within_at (λ y, p y 0) (p x 1).curry_left s x)
∧ has_ftaylor_series_up_to_on n
(λ x, continuous_multilinear_curry_fin1 𝕜 E F (p x 1)) (λ x, (p x).shift) s :=
begin
split,
{ assume H,
refine ⟨H.zero_eq, H.fderiv_within 0 (with_top.coe_lt_coe.2 (nat.succ_pos n)), _⟩,
split,
{ assume x hx, refl },
{ assume m (hm : (m : with_top ℕ) < n) x (hx : x ∈ s),
have A : (m.succ : with_top ℕ) < n.succ,
by { rw with_top.coe_lt_coe at ⊢ hm, exact nat.lt_succ_iff.mpr hm },
change has_fderiv_within_at
((continuous_multilinear_curry_right_equiv' 𝕜 m E F).symm
∘ (λ (y : E), p y m.succ))
(p x m.succ.succ).curry_right.curry_left s x,
rw linear_isometry_equiv.comp_has_fderiv_within_at_iff',
convert H.fderiv_within _ A x hx,
ext y v,
change (p x m.succ.succ) (snoc (cons y (init v)) (v (last _)))
= (p x (nat.succ (nat.succ m))) (cons y v),
rw [← cons_snoc_eq_snoc_cons, snoc_init_self] },
{ assume m (hm : (m : with_top ℕ) ≤ n),
have A : (m.succ : with_top ℕ) ≤ n.succ,
by { rw with_top.coe_le_coe at ⊢ hm, exact nat.pred_le_iff.mp hm },
change continuous_on ((continuous_multilinear_curry_right_equiv' 𝕜 m E F).symm
∘ (λ (y : E), p y m.succ)) s,
rw linear_isometry_equiv.comp_continuous_on_iff,
exact H.cont _ A } },
{ rintros ⟨Hzero_eq, Hfderiv_zero, Htaylor⟩,
split,
{ exact Hzero_eq },
{ assume m (hm : (m : with_top ℕ) < n.succ) x (hx : x ∈ s),
cases m,
{ exact Hfderiv_zero x hx },
{ have A : (m : with_top ℕ) < n,
by { rw with_top.coe_lt_coe at hm ⊢, exact nat.lt_of_succ_lt_succ hm },
have : has_fderiv_within_at ((continuous_multilinear_curry_right_equiv' 𝕜 m E F).symm
∘ (λ (y : E), p y m.succ)) ((p x).shift m.succ).curry_left s x :=
Htaylor.fderiv_within _ A x hx,
rw linear_isometry_equiv.comp_has_fderiv_within_at_iff' at this,
convert this,
ext y v,
change (p x (nat.succ (nat.succ m))) (cons y v)
= (p x m.succ.succ) (snoc (cons y (init v)) (v (last _))),
rw [← cons_snoc_eq_snoc_cons, snoc_init_self] } },
{ assume m (hm : (m : with_top ℕ) ≤ n.succ),
cases m,
{ have : differentiable_on 𝕜 (λ x, p x 0) s :=
λ x hx, (Hfderiv_zero x hx).differentiable_within_at,
exact this.continuous_on },
{ have A : (m : with_top ℕ) ≤ n,
by { rw with_top.coe_le_coe at hm ⊢, exact nat.lt_succ_iff.mp hm },
have : continuous_on ((continuous_multilinear_curry_right_equiv' 𝕜 m E F).symm
∘ (λ (y : E), p y m.succ)) s :=
Htaylor.cont _ A,
rwa linear_isometry_equiv.comp_continuous_on_iff at this } } }
end
/-! ### Smooth functions within a set around a point -/
variable (𝕜)
/-- A function is continuously differentiable up to order `n` within a set `s` at a point `x` if
it admits continuous derivatives up to order `n` in a neighborhood of `x` in `s ∪ {x}`.
For `n = ∞`, we only require that this holds up to any finite order (where the neighborhood may
depend on the finite order we consider).
For instance, a real function which is `C^m` on `(-1/m, 1/m)` for each natural `m`, but not
better, is `C^∞` at `0` within `univ`.
-/
def times_cont_diff_within_at (n : with_top ℕ) (f : E → F) (s : set E) (x : E) :=
∀ (m : ℕ), (m : with_top ℕ) ≤ n →
∃ u ∈ 𝓝[insert x s] x, ∃ p : E → formal_multilinear_series 𝕜 E F,
has_ftaylor_series_up_to_on m f p u
variable {𝕜}
lemma times_cont_diff_within_at_nat {n : ℕ} :
times_cont_diff_within_at 𝕜 n f s x ↔
∃ u ∈ 𝓝[insert x s] x, ∃ p : E → formal_multilinear_series 𝕜 E F,
has_ftaylor_series_up_to_on n f p u :=
⟨λ H, H n (le_refl _), λ ⟨u, hu, p, hp⟩ m hm, ⟨u, hu, p, hp.of_le hm⟩⟩
lemma times_cont_diff_within_at.of_le {m n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) (hmn : m ≤ n) :
times_cont_diff_within_at 𝕜 m f s x :=
λ k hk, h k (le_trans hk hmn)
lemma times_cont_diff_within_at_iff_forall_nat_le {n : with_top ℕ} :
times_cont_diff_within_at 𝕜 n f s x ↔ ∀ m : ℕ, ↑m ≤ n → times_cont_diff_within_at 𝕜 m f s x :=
⟨λ H m hm, H.of_le hm, λ H m hm, H m hm _ le_rfl⟩
lemma times_cont_diff_within_at_top :
times_cont_diff_within_at 𝕜 ∞ f s x ↔ ∀ (n : ℕ), times_cont_diff_within_at 𝕜 n f s x :=
times_cont_diff_within_at_iff_forall_nat_le.trans $ by simp only [forall_prop_of_true, le_top]
lemma times_cont_diff_within_at.continuous_within_at {n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) : continuous_within_at f s x :=
begin
rcases h 0 bot_le with ⟨u, hu, p, H⟩,
rw [mem_nhds_within_insert] at hu,
exact (H.continuous_on.continuous_within_at hu.1).mono_of_mem hu.2
end
lemma times_cont_diff_within_at.congr_of_eventually_eq {n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) (h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) :
times_cont_diff_within_at 𝕜 n f₁ s x :=
λ m hm, let ⟨u, hu, p, H⟩ := h m hm in
⟨{x ∈ u | f₁ x = f x}, filter.inter_mem_sets hu (mem_nhds_within_insert.2 ⟨hx, h₁⟩), p,
(H.mono (sep_subset _ _)).congr (λ _, and.right)⟩
lemma times_cont_diff_within_at.congr_of_eventually_eq' {n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) (h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : x ∈ s) :
times_cont_diff_within_at 𝕜 n f₁ s x :=
h.congr_of_eventually_eq h₁ $ h₁.self_of_nhds_within hx
lemma filter.eventually_eq.times_cont_diff_within_at_iff {n : with_top ℕ}
(h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) :
times_cont_diff_within_at 𝕜 n f₁ s x ↔ times_cont_diff_within_at 𝕜 n f s x :=
⟨λ H, times_cont_diff_within_at.congr_of_eventually_eq H h₁.symm hx.symm,
λ H, H.congr_of_eventually_eq h₁ hx⟩
lemma times_cont_diff_within_at.congr {n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) (h₁ : ∀ y ∈ s, f₁ y = f y) (hx : f₁ x = f x) :
times_cont_diff_within_at 𝕜 n f₁ s x :=
h.congr_of_eventually_eq (filter.eventually_eq_of_mem self_mem_nhds_within h₁) hx
lemma times_cont_diff_within_at.mono_of_mem {n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) {t : set E} (hst : s ∈ 𝓝[t] x) :
times_cont_diff_within_at 𝕜 n f t x :=
begin
assume m hm,
rcases h m hm with ⟨u, hu, p, H⟩,
exact ⟨u, nhds_within_le_of_mem (insert_mem_nhds_within_insert hst) hu, p, H⟩
end
lemma times_cont_diff_within_at.mono {n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) {t : set E} (hst : t ⊆ s) :
times_cont_diff_within_at 𝕜 n f t x :=
h.mono_of_mem $ filter.mem_sets_of_superset self_mem_nhds_within hst
lemma times_cont_diff_within_at.congr_nhds {n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) {t : set E} (hst : 𝓝[s] x = 𝓝[t] x) :
times_cont_diff_within_at 𝕜 n f t x :=
h.mono_of_mem $ hst ▸ self_mem_nhds_within
lemma times_cont_diff_within_at_congr_nhds {n : with_top ℕ} {t : set E} (hst : 𝓝[s] x = 𝓝[t] x) :
times_cont_diff_within_at 𝕜 n f s x ↔ times_cont_diff_within_at 𝕜 n f t x :=
⟨λ h, h.congr_nhds hst, λ h, h.congr_nhds hst.symm⟩
lemma times_cont_diff_within_at_inter' {n : with_top ℕ} (h : t ∈ 𝓝[s] x) :
times_cont_diff_within_at 𝕜 n f (s ∩ t) x ↔ times_cont_diff_within_at 𝕜 n f s x :=
times_cont_diff_within_at_congr_nhds $ eq.symm $ nhds_within_restrict'' _ h
lemma times_cont_diff_within_at_inter {n : with_top ℕ} (h : t ∈ 𝓝 x) :
times_cont_diff_within_at 𝕜 n f (s ∩ t) x ↔ times_cont_diff_within_at 𝕜 n f s x :=
times_cont_diff_within_at_inter' (mem_nhds_within_of_mem_nhds h)
/-- If a function is `C^n` within a set at a point, with `n ≥ 1`, then it is differentiable
within this set at this point. -/
lemma times_cont_diff_within_at.differentiable_within_at' {n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) (hn : 1 ≤ n) :
differentiable_within_at 𝕜 f (insert x s) x :=
begin
rcases h 1 hn with ⟨u, hu, p, H⟩,
rcases mem_nhds_within.1 hu with ⟨t, t_open, xt, tu⟩,
rw inter_comm at tu,
have := ((H.mono tu).differentiable_on (le_refl _)) x ⟨mem_insert x s, xt⟩,
exact (differentiable_within_at_inter (mem_nhds_sets t_open xt)).1 this,
end
lemma times_cont_diff_within_at.differentiable_within_at {n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) (hn : 1 ≤ n) :
differentiable_within_at 𝕜 f s x :=
(h.differentiable_within_at' hn).mono (subset_insert x s)
/-- A function is `C^(n + 1)` on a domain iff locally, it has a derivative which is `C^n`. -/
theorem times_cont_diff_within_at_succ_iff_has_fderiv_within_at {n : ℕ} :
times_cont_diff_within_at 𝕜 ((n + 1) : ℕ) f s x
↔ ∃ u ∈ 𝓝[insert x s] x, ∃ f' : E → (E →L[𝕜] F),
(∀ x ∈ u, has_fderiv_within_at f (f' x) u x) ∧ (times_cont_diff_within_at 𝕜 n f' u x) :=
begin
split,
{ assume h,
rcases h n.succ (le_refl _) with ⟨u, hu, p, Hp⟩,
refine ⟨u, hu, λ y, (continuous_multilinear_curry_fin1 𝕜 E F) (p y 1),
λ y hy, Hp.has_fderiv_within_at (with_top.coe_le_coe.2 (nat.le_add_left 1 n)) hy, _⟩,
assume m hm,
refine ⟨u, _, λ (y : E), (p y).shift, _⟩,
{ convert self_mem_nhds_within,
have : x ∈ insert x s, by simp,
exact (insert_eq_of_mem (mem_of_mem_nhds_within this hu)) },
{ rw has_ftaylor_series_up_to_on_succ_iff_right at Hp,
exact Hp.2.2.of_le hm } },
{ rintros ⟨u, hu, f', f'_eq_deriv, Hf'⟩,
rw times_cont_diff_within_at_nat,
rcases Hf' n (le_refl _) with ⟨v, hv, p', Hp'⟩,
refine ⟨v ∩ u, _, λ x, (p' x).unshift (f x), _⟩,
{ apply filter.inter_mem_sets _ hu,
apply nhds_within_le_of_mem hu,
exact nhds_within_mono _ (subset_insert x u) hv },
{ rw has_ftaylor_series_up_to_on_succ_iff_right,
refine ⟨λ y hy, rfl, λ y hy, _, _⟩,
{ change has_fderiv_within_at (λ z, (continuous_multilinear_curry_fin0 𝕜 E F).symm (f z))
((formal_multilinear_series.unshift (p' y) (f y) 1).curry_left) (v ∩ u) y,
rw linear_isometry_equiv.comp_has_fderiv_within_at_iff',
convert (f'_eq_deriv y hy.2).mono (inter_subset_right v u),
rw ← Hp'.zero_eq y hy.1,
ext z,
change ((p' y 0) (init (@cons 0 (λ i, E) z 0))) (@cons 0 (λ i, E) z 0 (last 0))
= ((p' y 0) 0) z,
unfold_coes,
congr },
{ convert (Hp'.mono (inter_subset_left v u)).congr (λ x hx, Hp'.zero_eq x hx.1),
{ ext x y,
change p' x 0 (init (@snoc 0 (λ i : fin 1, E) 0 y)) y = p' x 0 0 y,
rw init_snoc },
{ ext x k v y,
change p' x k (init (@snoc k (λ i : fin k.succ, E) v y))
(@snoc k (λ i : fin k.succ, E) v y (last k)) = p' x k v y,
rw [snoc_last, init_snoc] } } } }
end
/-! ### Smooth functions within a set -/
variable (𝕜)
/-- A function is continuously differentiable up to `n` on `s` if, for any point `x` in `s`, it
admits continuous derivatives up to order `n` on a neighborhood of `x` in `s`.
For `n = ∞`, we only require that this holds up to any finite order (where the neighborhood may
depend on the finite order we consider).
-/
definition times_cont_diff_on (n : with_top ℕ) (f : E → F) (s : set E) :=
∀ x ∈ s, times_cont_diff_within_at 𝕜 n f s x
variable {𝕜}
lemma times_cont_diff_on.times_cont_diff_within_at {n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f s) (hx : x ∈ s) :
times_cont_diff_within_at 𝕜 n f s x :=
h x hx
lemma times_cont_diff_within_at.times_cont_diff_on {n : with_top ℕ} {m : ℕ}
(hm : (m : with_top ℕ) ≤ n) (h : times_cont_diff_within_at 𝕜 n f s x) :
∃ u ∈ 𝓝[insert x s] x, u ⊆ insert x s ∧ times_cont_diff_on 𝕜 m f u :=
begin
rcases h m hm with ⟨u, u_nhd, p, hp⟩,
refine ⟨u ∩ insert x s, filter.inter_mem_sets u_nhd self_mem_nhds_within,
inter_subset_right _ _, _⟩,
assume y hy m' hm',
refine ⟨u ∩ insert x s, _, p, (hp.mono (inter_subset_left _ _)).of_le hm'⟩,
convert self_mem_nhds_within,
exact insert_eq_of_mem hy
end
lemma times_cont_diff_on.of_le {m n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f s) (hmn : m ≤ n) :
times_cont_diff_on 𝕜 m f s :=
λ x hx, (h x hx).of_le hmn
lemma times_cont_diff_on_iff_forall_nat_le {n : with_top ℕ} :
times_cont_diff_on 𝕜 n f s ↔ ∀ m : ℕ, ↑m ≤ n → times_cont_diff_on 𝕜 m f s :=
⟨λ H m hm, H.of_le hm, λ H x hx m hm, H m hm x hx m le_rfl⟩
lemma times_cont_diff_on_top :
times_cont_diff_on 𝕜 ∞ f s ↔ ∀ (n : ℕ), times_cont_diff_on 𝕜 n f s :=
times_cont_diff_on_iff_forall_nat_le.trans $ by simp only [le_top, forall_prop_of_true]
lemma times_cont_diff_on_all_iff_nat :
(∀ n, times_cont_diff_on 𝕜 n f s) ↔ (∀ n : ℕ, times_cont_diff_on 𝕜 n f s) :=
begin
refine ⟨λ H n, H n, _⟩,
rintro H (_|n),
exacts [times_cont_diff_on_top.2 H, H n]
end
lemma times_cont_diff_on.continuous_on {n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f s) : continuous_on f s :=
λ x hx, (h x hx).continuous_within_at
lemma times_cont_diff_on.congr {n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f s) (h₁ : ∀ x ∈ s, f₁ x = f x) :
times_cont_diff_on 𝕜 n f₁ s :=
λ x hx, (h x hx).congr h₁ (h₁ x hx)
lemma times_cont_diff_on_congr {n : with_top ℕ} (h₁ : ∀ x ∈ s, f₁ x = f x) :
times_cont_diff_on 𝕜 n f₁ s ↔ times_cont_diff_on 𝕜 n f s :=
⟨λ H, H.congr (λ x hx, (h₁ x hx).symm), λ H, H.congr h₁⟩
lemma times_cont_diff_on.mono {n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f s) {t : set E} (hst : t ⊆ s) :
times_cont_diff_on 𝕜 n f t :=
λ x hx, (h x (hst hx)).mono hst
lemma times_cont_diff_on.congr_mono {n : with_top ℕ}
(hf : times_cont_diff_on 𝕜 n f s) (h₁ : ∀ x ∈ s₁, f₁ x = f x) (hs : s₁ ⊆ s) :
times_cont_diff_on 𝕜 n f₁ s₁ :=
(hf.mono hs).congr h₁
/-- If a function is `C^n` on a set with `n ≥ 1`, then it is differentiable there. -/
lemma times_cont_diff_on.differentiable_on {n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f s) (hn : 1 ≤ n) : differentiable_on 𝕜 f s :=
λ x hx, (h x hx).differentiable_within_at hn
/-- If a function is `C^n` around each point in a set, then it is `C^n` on the set. -/
lemma times_cont_diff_on_of_locally_times_cont_diff_on {n : with_top ℕ}
(h : ∀ x ∈ s, ∃u, is_open u ∧ x ∈ u ∧ times_cont_diff_on 𝕜 n f (s ∩ u)) :
times_cont_diff_on 𝕜 n f s :=
begin
assume x xs,
rcases h x xs with ⟨u, u_open, xu, hu⟩,
apply (times_cont_diff_within_at_inter _).1 (hu x ⟨xs, xu⟩),
exact mem_nhds_sets u_open xu
end
/-- A function is `C^(n + 1)` on a domain iff locally, it has a derivative which is `C^n`. -/
theorem times_cont_diff_on_succ_iff_has_fderiv_within_at {n : ℕ} :
times_cont_diff_on 𝕜 ((n + 1) : ℕ) f s
↔ ∀ x ∈ s, ∃ u ∈ 𝓝[insert x s] x, ∃ f' : E → (E →L[𝕜] F),
(∀ x ∈ u, has_fderiv_within_at f (f' x) u x) ∧ (times_cont_diff_on 𝕜 n f' u) :=
begin
split,
{ assume h x hx,
rcases (h x hx) n.succ (le_refl _) with ⟨u, hu, p, Hp⟩,
refine ⟨u, hu, λ y, (continuous_multilinear_curry_fin1 𝕜 E F) (p y 1),
λ y hy, Hp.has_fderiv_within_at (with_top.coe_le_coe.2 (nat.le_add_left 1 n)) hy, _⟩,
rw has_ftaylor_series_up_to_on_succ_iff_right at Hp,
assume z hz m hm,
refine ⟨u, _, λ (x : E), (p x).shift, Hp.2.2.of_le hm⟩,
convert self_mem_nhds_within,
exact insert_eq_of_mem hz, },
{ assume h x hx,
rw times_cont_diff_within_at_succ_iff_has_fderiv_within_at,
rcases h x hx with ⟨u, u_nhbd, f', hu, hf'⟩,
have : x ∈ u := mem_of_mem_nhds_within (mem_insert _ _) u_nhbd,
exact ⟨u, u_nhbd, f', hu, hf' x this⟩ }
end
/-! ### Iterated derivative within a set -/
variable (𝕜)
/--
The `n`-th derivative of a function along a set, defined inductively by saying that the `n+1`-th
derivative of `f` is the derivative of the `n`-th derivative of `f` along this set, together with
an uncurrying step to see it as a multilinear map in `n+1` variables..
-/
noncomputable def iterated_fderiv_within (n : ℕ) (f : E → F) (s : set E) :
E → (E [×n]→L[𝕜] F) :=
nat.rec_on n
(λ x, continuous_multilinear_map.curry0 𝕜 E (f x))
(λ n rec x, continuous_linear_map.uncurry_left (fderiv_within 𝕜 rec s x))
/-- Formal Taylor series associated to a function within a set. -/
def ftaylor_series_within (f : E → F) (s : set E) (x : E) : formal_multilinear_series 𝕜 E F :=
λ n, iterated_fderiv_within 𝕜 n f s x
variable {𝕜}
@[simp] lemma iterated_fderiv_within_zero_apply (m : (fin 0) → E) :
(iterated_fderiv_within 𝕜 0 f s x : ((fin 0) → E) → F) m = f x := rfl
lemma iterated_fderiv_within_zero_eq_comp :
iterated_fderiv_within 𝕜 0 f s = (continuous_multilinear_curry_fin0 𝕜 E F).symm ∘ f := rfl
lemma iterated_fderiv_within_succ_apply_left {n : ℕ} (m : fin (n + 1) → E):
(iterated_fderiv_within 𝕜 (n + 1) f s x : (fin (n + 1) → E) → F) m
= (fderiv_within 𝕜 (iterated_fderiv_within 𝕜 n f s) s x : E → (E [×n]→L[𝕜] F)) (m 0) (tail m) := rfl
/-- Writing explicitly the `n+1`-th derivative as the composition of a currying linear equiv,
and the derivative of the `n`-th derivative. -/
lemma iterated_fderiv_within_succ_eq_comp_left {n : ℕ} :
iterated_fderiv_within 𝕜 (n + 1) f s =
(continuous_multilinear_curry_left_equiv 𝕜 (λ(i : fin (n + 1)), E) F)
∘ (fderiv_within 𝕜 (iterated_fderiv_within 𝕜 n f s) s) := rfl
theorem iterated_fderiv_within_succ_apply_right {n : ℕ}
(hs : unique_diff_on 𝕜 s) (hx : x ∈ s) (m : fin (n + 1) → E) :
(iterated_fderiv_within 𝕜 (n + 1) f s x : (fin (n + 1) → E) → F) m
= iterated_fderiv_within 𝕜 n (λy, fderiv_within 𝕜 f s y) s x (init m) (m (last n)) :=
begin
induction n with n IH generalizing x,
{ rw [iterated_fderiv_within_succ_eq_comp_left, iterated_fderiv_within_zero_eq_comp,
iterated_fderiv_within_zero_apply,
function.comp_apply, linear_isometry_equiv.comp_fderiv_within _ (hs x hx)],
refl },
{ let I := continuous_multilinear_curry_right_equiv' 𝕜 n E F,
have A : ∀ y ∈ s, iterated_fderiv_within 𝕜 n.succ f s y
= (I ∘ (iterated_fderiv_within 𝕜 n (λy, fderiv_within 𝕜 f s y) s)) y,
by { assume y hy, ext m, rw @IH m y hy, refl },
calc
(iterated_fderiv_within 𝕜 (n+2) f s x : (fin (n+2) → E) → F) m =
(fderiv_within 𝕜 (iterated_fderiv_within 𝕜 n.succ f s) s x
: E → (E [×(n + 1)]→L[𝕜] F)) (m 0) (tail m) : rfl
... = (fderiv_within 𝕜 (I ∘ (iterated_fderiv_within 𝕜 n (fderiv_within 𝕜 f s) s)) s x
: E → (E [×(n + 1)]→L[𝕜] F)) (m 0) (tail m) :
by rw fderiv_within_congr (hs x hx) A (A x hx)
... = (I ∘ fderiv_within 𝕜 ((iterated_fderiv_within 𝕜 n (fderiv_within 𝕜 f s) s)) s x
: E → (E [×(n + 1)]→L[𝕜] F)) (m 0) (tail m) :
by { rw linear_isometry_equiv.comp_fderiv_within _ (hs x hx), refl }
... = (fderiv_within 𝕜 ((iterated_fderiv_within 𝕜 n (λ y, fderiv_within 𝕜 f s y) s)) s x
: E → (E [×n]→L[𝕜] (E →L[𝕜] F))) (m 0) (init (tail m)) ((tail m) (last n)) : rfl
... = iterated_fderiv_within 𝕜 (nat.succ n) (λ y, fderiv_within 𝕜 f s y) s x
(init m) (m (last (n + 1))) :
by { rw [iterated_fderiv_within_succ_apply_left, tail_init_eq_init_tail], refl } }
end
/-- Writing explicitly the `n+1`-th derivative as the composition of a currying linear equiv,
and the `n`-th derivative of the derivative. -/
lemma iterated_fderiv_within_succ_eq_comp_right {n : ℕ} (hs : unique_diff_on 𝕜 s) (hx : x ∈ s) :
iterated_fderiv_within 𝕜 (n + 1) f s x =
((continuous_multilinear_curry_right_equiv' 𝕜 n E F)
∘ (iterated_fderiv_within 𝕜 n (λy, fderiv_within 𝕜 f s y) s)) x :=
by { ext m, rw iterated_fderiv_within_succ_apply_right hs hx, refl }
@[simp] lemma iterated_fderiv_within_one_apply
(hs : unique_diff_on 𝕜 s) (hx : x ∈ s) (m : (fin 1) → E) :
(iterated_fderiv_within 𝕜 1 f s x : ((fin 1) → E) → F) m
= (fderiv_within 𝕜 f s x : E → F) (m 0) :=
by { rw [iterated_fderiv_within_succ_apply_right hs hx, iterated_fderiv_within_zero_apply], refl }
/-- If two functions coincide on a set `s` of unique differentiability, then their iterated
differentials within this set coincide. -/
lemma iterated_fderiv_within_congr {n : ℕ}
(hs : unique_diff_on 𝕜 s) (hL : ∀y∈s, f₁ y = f y) (hx : x ∈ s) :
iterated_fderiv_within 𝕜 n f₁ s x = iterated_fderiv_within 𝕜 n f s x :=
begin
induction n with n IH generalizing x,
{ ext m, simp [hL x hx] },
{ have : fderiv_within 𝕜 (λ y, iterated_fderiv_within 𝕜 n f₁ s y) s x
= fderiv_within 𝕜 (λ y, iterated_fderiv_within 𝕜 n f s y) s x :=
fderiv_within_congr (hs x hx) (λ y hy, IH hy) (IH hx),
ext m,
rw [iterated_fderiv_within_succ_apply_left, iterated_fderiv_within_succ_apply_left, this] }
end
/-- The iterated differential within a set `s` at a point `x` is not modified if one intersects
`s` with an open set containing `x`. -/
lemma iterated_fderiv_within_inter_open {n : ℕ} (hu : is_open u)
(hs : unique_diff_on 𝕜 (s ∩ u)) (hx : x ∈ s ∩ u) :
iterated_fderiv_within 𝕜 n f (s ∩ u) x = iterated_fderiv_within 𝕜 n f s x :=
begin
induction n with n IH generalizing x,
{ ext m, simp },
{ have A : fderiv_within 𝕜 (λ y, iterated_fderiv_within 𝕜 n f (s ∩ u) y) (s ∩ u) x
= fderiv_within 𝕜 (λ y, iterated_fderiv_within 𝕜 n f s y) (s ∩ u) x :=
fderiv_within_congr (hs x hx) (λ y hy, IH hy) (IH hx),
have B : fderiv_within 𝕜 (λ y, iterated_fderiv_within 𝕜 n f s y) (s ∩ u) x
= fderiv_within 𝕜 (λ y, iterated_fderiv_within 𝕜 n f s y) s x :=
fderiv_within_inter (mem_nhds_sets hu hx.2)
((unique_diff_within_at_inter (mem_nhds_sets hu hx.2)).1 (hs x hx)),
ext m,
rw [iterated_fderiv_within_succ_apply_left, iterated_fderiv_within_succ_apply_left, A, B] }
end
/-- The iterated differential within a set `s` at a point `x` is not modified if one intersects
`s` with a neighborhood of `x` within `s`. -/
lemma iterated_fderiv_within_inter' {n : ℕ}
(hu : u ∈ 𝓝[s] x) (hs : unique_diff_on 𝕜 s) (xs : x ∈ s) :
iterated_fderiv_within 𝕜 n f (s ∩ u) x = iterated_fderiv_within 𝕜 n f s x :=
begin
obtain ⟨v, v_open, xv, vu⟩ : ∃ v, is_open v ∧ x ∈ v ∧ v ∩ s ⊆ u := mem_nhds_within.1 hu,
have A : (s ∩ u) ∩ v = s ∩ v,
{ apply subset.antisymm (inter_subset_inter (inter_subset_left _ _) (subset.refl _)),
exact λ y ⟨ys, yv⟩, ⟨⟨ys, vu ⟨yv, ys⟩⟩, yv⟩ },
have : iterated_fderiv_within 𝕜 n f (s ∩ v) x = iterated_fderiv_within 𝕜 n f s x :=
iterated_fderiv_within_inter_open v_open (hs.inter v_open) ⟨xs, xv⟩,
rw ← this,
have : iterated_fderiv_within 𝕜 n f ((s ∩ u) ∩ v) x = iterated_fderiv_within 𝕜 n f (s ∩ u) x,
{ refine iterated_fderiv_within_inter_open v_open _ ⟨⟨xs, vu ⟨xv, xs⟩⟩, xv⟩,
rw A,
exact hs.inter v_open },
rw A at this,
rw ← this
end
/-- The iterated differential within a set `s` at a point `x` is not modified if one intersects
`s` with a neighborhood of `x`. -/
lemma iterated_fderiv_within_inter {n : ℕ}
(hu : u ∈ 𝓝 x) (hs : unique_diff_on 𝕜 s) (xs : x ∈ s) :
iterated_fderiv_within 𝕜 n f (s ∩ u) x = iterated_fderiv_within 𝕜 n f s x :=
iterated_fderiv_within_inter' (mem_nhds_within_of_mem_nhds hu) hs xs
@[simp] lemma times_cont_diff_on_zero :
times_cont_diff_on 𝕜 0 f s ↔ continuous_on f s :=
begin
refine ⟨λ H, H.continuous_on, λ H, _⟩,
assume x hx m hm,
have : (m : with_top ℕ) = 0 := le_antisymm hm bot_le,
rw this,
refine ⟨insert x s, self_mem_nhds_within, ftaylor_series_within 𝕜 f s, _⟩,
rw has_ftaylor_series_up_to_on_zero_iff,
exact ⟨by rwa insert_eq_of_mem hx, λ x hx, by simp [ftaylor_series_within]⟩
end
lemma times_cont_diff_within_at_zero (hx : x ∈ s) :
times_cont_diff_within_at 𝕜 0 f s x ↔ ∃ u ∈ 𝓝[s] x, continuous_on f (s ∩ u) :=
begin
split,
{ intros h,
obtain ⟨u, H, p, hp⟩ := h 0 (by norm_num),
refine ⟨u, _, _⟩,
{ simpa [hx] using H },
{ simp only [with_top.coe_zero, has_ftaylor_series_up_to_on_zero_iff] at hp,
exact hp.1.mono (inter_subset_right s u) } },
{ rintros ⟨u, H, hu⟩,
rw ← times_cont_diff_within_at_inter' H,
have h' : x ∈ s ∩ u := ⟨hx, mem_of_mem_nhds_within hx H⟩,
exact (times_cont_diff_on_zero.mpr hu).times_cont_diff_within_at h' }
end
/-- On a set with unique differentiability, any choice of iterated differential has to coincide
with the one we have chosen in `iterated_fderiv_within 𝕜 m f s`. -/
theorem has_ftaylor_series_up_to_on.eq_ftaylor_series_of_unique_diff_on {n : with_top ℕ}
(h : has_ftaylor_series_up_to_on n f p s)
{m : ℕ} (hmn : (m : with_top ℕ) ≤ n) (hs : unique_diff_on 𝕜 s) (hx : x ∈ s) :
p x m = iterated_fderiv_within 𝕜 m f s x :=
begin
induction m with m IH generalizing x,
{ rw [h.zero_eq' hx, iterated_fderiv_within_zero_eq_comp] },
{ have A : (m : with_top ℕ) < n := lt_of_lt_of_le (with_top.coe_lt_coe.2 (lt_add_one m)) hmn,
have : has_fderiv_within_at (λ (y : E), iterated_fderiv_within 𝕜 m f s y)
(continuous_multilinear_map.curry_left (p x (nat.succ m))) s x :=
(h.fderiv_within m A x hx).congr (λ y hy, (IH (le_of_lt A) hy).symm) (IH (le_of_lt A) hx).symm,
rw [iterated_fderiv_within_succ_eq_comp_left, function.comp_apply, this.fderiv_within (hs x hx)],
exact (continuous_multilinear_map.uncurry_curry_left _).symm }
end
/-- When a function is `C^n` in a set `s` of unique differentiability, it admits
`ftaylor_series_within 𝕜 f s` as a Taylor series up to order `n` in `s`. -/
theorem times_cont_diff_on.ftaylor_series_within {n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f s) (hs : unique_diff_on 𝕜 s) :
has_ftaylor_series_up_to_on n f (ftaylor_series_within 𝕜 f s) s :=
begin
split,
{ assume x hx,
simp only [ftaylor_series_within, continuous_multilinear_map.uncurry0_apply,
iterated_fderiv_within_zero_apply] },
{ assume m hm x hx,
rcases (h x hx) m.succ (with_top.add_one_le_of_lt hm) with ⟨u, hu, p, Hp⟩,
rw insert_eq_of_mem hx at hu,
rcases mem_nhds_within.1 hu with ⟨o, o_open, xo, ho⟩,
rw inter_comm at ho,
have : p x m.succ = ftaylor_series_within 𝕜 f s x m.succ,
{ change p x m.succ = iterated_fderiv_within 𝕜 m.succ f s x,
rw ← iterated_fderiv_within_inter (mem_nhds_sets o_open xo) hs hx,
exact (Hp.mono ho).eq_ftaylor_series_of_unique_diff_on (le_refl _)
(hs.inter o_open) ⟨hx, xo⟩ },
rw [← this, ← has_fderiv_within_at_inter (mem_nhds_sets o_open xo)],
have A : ∀ y ∈ s ∩ o, p y m = ftaylor_series_within 𝕜 f s y m,
{ rintros y ⟨hy, yo⟩,
change p y m = iterated_fderiv_within 𝕜 m f s y,
rw ← iterated_fderiv_within_inter (mem_nhds_sets o_open yo) hs hy,
exact (Hp.mono ho).eq_ftaylor_series_of_unique_diff_on (with_top.coe_le_coe.2 (nat.le_succ m))
(hs.inter o_open) ⟨hy, yo⟩ },
exact ((Hp.mono ho).fderiv_within m (with_top.coe_lt_coe.2 (lt_add_one m)) x ⟨hx, xo⟩).congr
(λ y hy, (A y hy).symm) (A x ⟨hx, xo⟩).symm },
{ assume m hm,
apply continuous_on_of_locally_continuous_on,
assume x hx,
rcases h x hx m hm with ⟨u, hu, p, Hp⟩,
rcases mem_nhds_within.1 hu with ⟨o, o_open, xo, ho⟩,
rw insert_eq_of_mem hx at ho,
rw inter_comm at ho,
refine ⟨o, o_open, xo, _⟩,
have A : ∀ y ∈ s ∩ o, p y m = ftaylor_series_within 𝕜 f s y m,
{ rintros y ⟨hy, yo⟩,
change p y m = iterated_fderiv_within 𝕜 m f s y,
rw ← iterated_fderiv_within_inter (mem_nhds_sets o_open yo) hs hy,
exact (Hp.mono ho).eq_ftaylor_series_of_unique_diff_on (le_refl _)
(hs.inter o_open) ⟨hy, yo⟩ },
exact ((Hp.mono ho).cont m (le_refl _)).congr (λ y hy, (A y hy).symm) }
end
lemma times_cont_diff_on_of_continuous_on_differentiable_on {n : with_top ℕ}
(Hcont : ∀ (m : ℕ), (m : with_top ℕ) ≤ n →
continuous_on (λ x, iterated_fderiv_within 𝕜 m f s x) s)
(Hdiff : ∀ (m : ℕ), (m : with_top ℕ) < n →
differentiable_on 𝕜 (λ x, iterated_fderiv_within 𝕜 m f s x) s) :
times_cont_diff_on 𝕜 n f s :=
begin
assume x hx m hm,
rw insert_eq_of_mem hx,
refine ⟨s, self_mem_nhds_within, ftaylor_series_within 𝕜 f s, _⟩,
split,
{ assume y hy,
simp only [ftaylor_series_within, continuous_multilinear_map.uncurry0_apply,
iterated_fderiv_within_zero_apply] },
{ assume k hk y hy,
convert (Hdiff k (lt_of_lt_of_le hk hm) y hy).has_fderiv_within_at,
simp only [ftaylor_series_within, iterated_fderiv_within_succ_eq_comp_left,
continuous_linear_equiv.coe_apply, function.comp_app, coe_fn_coe_base],
exact continuous_linear_map.curry_uncurry_left _ },
{ assume k hk,
exact Hcont k (le_trans hk hm) }
end
lemma times_cont_diff_on_of_differentiable_on {n : with_top ℕ}
(h : ∀(m : ℕ), (m : with_top ℕ) ≤ n → differentiable_on 𝕜 (iterated_fderiv_within 𝕜 m f s) s) :
times_cont_diff_on 𝕜 n f s :=
times_cont_diff_on_of_continuous_on_differentiable_on
(λ m hm, (h m hm).continuous_on) (λ m hm, (h m (le_of_lt hm)))
lemma times_cont_diff_on.continuous_on_iterated_fderiv_within {n : with_top ℕ} {m : ℕ}
(h : times_cont_diff_on 𝕜 n f s) (hmn : (m : with_top ℕ) ≤ n) (hs : unique_diff_on 𝕜 s) :
continuous_on (iterated_fderiv_within 𝕜 m f s) s :=
(h.ftaylor_series_within hs).cont m hmn
lemma times_cont_diff_on.differentiable_on_iterated_fderiv_within {n : with_top ℕ} {m : ℕ}
(h : times_cont_diff_on 𝕜 n f s) (hmn : (m : with_top ℕ) < n) (hs : unique_diff_on 𝕜 s) :
differentiable_on 𝕜 (iterated_fderiv_within 𝕜 m f s) s :=
λ x hx, ((h.ftaylor_series_within hs).fderiv_within m hmn x hx).differentiable_within_at
lemma times_cont_diff_on_iff_continuous_on_differentiable_on {n : with_top ℕ}
(hs : unique_diff_on 𝕜 s) :
times_cont_diff_on 𝕜 n f s ↔
(∀ (m : ℕ), (m : with_top ℕ) ≤ n →
continuous_on (λ x, iterated_fderiv_within 𝕜 m f s x) s)
∧ (∀ (m : ℕ), (m : with_top ℕ) < n →
differentiable_on 𝕜 (λ x, iterated_fderiv_within 𝕜 m f s x) s) :=
begin
split,
{ assume h,
split,
{ assume m hm, exact h.continuous_on_iterated_fderiv_within hm hs },
{ assume m hm, exact h.differentiable_on_iterated_fderiv_within hm hs } },
{ assume h,
exact times_cont_diff_on_of_continuous_on_differentiable_on h.1 h.2 }
end
/-- A function is `C^(n + 1)` on a domain with unique derivatives if and only if it is
differentiable there, and its derivative (expressed with `fderiv_within`) is `C^n`. -/
theorem times_cont_diff_on_succ_iff_fderiv_within {n : ℕ} (hs : unique_diff_on 𝕜 s) :
times_cont_diff_on 𝕜 ((n + 1) : ℕ) f s ↔
differentiable_on 𝕜 f s ∧ times_cont_diff_on 𝕜 n (λ y, fderiv_within 𝕜 f s y) s :=
begin
split,
{ assume H,
refine ⟨H.differentiable_on (with_top.coe_le_coe.2 (nat.le_add_left 1 n)), λ x hx, _⟩,
rcases times_cont_diff_within_at_succ_iff_has_fderiv_within_at.1 (H x hx)
with ⟨u, hu, f', hff', hf'⟩,
rcases mem_nhds_within.1 hu with ⟨o, o_open, xo, ho⟩,
rw [inter_comm, insert_eq_of_mem hx] at ho,
have := hf'.mono ho,
rw times_cont_diff_within_at_inter' (mem_nhds_within_of_mem_nhds (mem_nhds_sets o_open xo))
at this,
apply this.congr_of_eventually_eq' _ hx,
have : o ∩ s ∈ 𝓝[s] x := mem_nhds_within.2 ⟨o, o_open, xo, subset.refl _⟩,
rw inter_comm at this,
apply filter.eventually_eq_of_mem this (λ y hy, _),
have A : fderiv_within 𝕜 f (s ∩ o) y = f' y :=
((hff' y (ho hy)).mono ho).fderiv_within (hs.inter o_open y hy),
rwa fderiv_within_inter (mem_nhds_sets o_open hy.2) (hs y hy.1) at A, },
{ rintros ⟨hdiff, h⟩ x hx,
rw [times_cont_diff_within_at_succ_iff_has_fderiv_within_at, insert_eq_of_mem hx],
exact ⟨s, self_mem_nhds_within, fderiv_within 𝕜 f s,
λ y hy, (hdiff y hy).has_fderiv_within_at, h x hx⟩ }
end
/-- A function is `C^(n + 1)` on an open domain if and only if it is
differentiable there, and its derivative (expressed with `fderiv`) is `C^n`. -/
theorem times_cont_diff_on_succ_iff_fderiv_of_open {n : ℕ} (hs : is_open s) :
times_cont_diff_on 𝕜 ((n + 1) : ℕ) f s ↔
differentiable_on 𝕜 f s ∧ times_cont_diff_on 𝕜 n (λ y, fderiv 𝕜 f y) s :=
begin
rw times_cont_diff_on_succ_iff_fderiv_within hs.unique_diff_on,
congr' 2,
rw ← iff_iff_eq,
apply times_cont_diff_on_congr,
assume x hx,
exact fderiv_within_of_open hs hx
end
/-- A function is `C^∞` on a domain with unique derivatives if and only if it is differentiable
there, and its derivative (expressed with `fderiv_within`) is `C^∞`. -/
theorem times_cont_diff_on_top_iff_fderiv_within (hs : unique_diff_on 𝕜 s) :
times_cont_diff_on 𝕜 ∞ f s ↔
differentiable_on 𝕜 f s ∧ times_cont_diff_on 𝕜 ∞ (λ y, fderiv_within 𝕜 f s y) s :=
begin
split,
{ assume h,
refine ⟨h.differentiable_on le_top, _⟩,
apply times_cont_diff_on_top.2 (λ n, ((times_cont_diff_on_succ_iff_fderiv_within hs).1 _).2),
exact h.of_le le_top },
{ assume h,
refine times_cont_diff_on_top.2 (λ n, _),
have A : (n : with_top ℕ) ≤ ∞ := le_top,
apply ((times_cont_diff_on_succ_iff_fderiv_within hs).2 ⟨h.1, h.2.of_le A⟩).of_le,
exact with_top.coe_le_coe.2 (nat.le_succ n) }
end
/-- A function is `C^∞` on an open domain if and only if it is differentiable there, and its
derivative (expressed with `fderiv`) is `C^∞`. -/
theorem times_cont_diff_on_top_iff_fderiv_of_open (hs : is_open s) :
times_cont_diff_on 𝕜 ∞ f s ↔
differentiable_on 𝕜 f s ∧ times_cont_diff_on 𝕜 ∞ (λ y, fderiv 𝕜 f y) s :=
begin
rw times_cont_diff_on_top_iff_fderiv_within hs.unique_diff_on,
congr' 2,
rw ← iff_iff_eq,
apply times_cont_diff_on_congr,
assume x hx,
exact fderiv_within_of_open hs hx
end
lemma times_cont_diff_on.fderiv_within {m n : with_top ℕ}
(hf : times_cont_diff_on 𝕜 n f s) (hs : unique_diff_on 𝕜 s) (hmn : m + 1 ≤ n) :
times_cont_diff_on 𝕜 m (λ y, fderiv_within 𝕜 f s y) s :=
begin
cases m,
{ change ∞ + 1 ≤ n at hmn,
have : n = ∞, by simpa using hmn,
rw this at hf,
exact ((times_cont_diff_on_top_iff_fderiv_within hs).1 hf).2 },
{ change (m.succ : with_top ℕ) ≤ n at hmn,
exact ((times_cont_diff_on_succ_iff_fderiv_within hs).1 (hf.of_le hmn)).2 }
end
lemma times_cont_diff_on.fderiv_of_open {m n : with_top ℕ}
(hf : times_cont_diff_on 𝕜 n f s) (hs : is_open s) (hmn : m + 1 ≤ n) :
times_cont_diff_on 𝕜 m (λ y, fderiv 𝕜 f y) s :=
(hf.fderiv_within hs.unique_diff_on hmn).congr (λ x hx, (fderiv_within_of_open hs hx).symm)
lemma times_cont_diff_on.continuous_on_fderiv_within {n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f s) (hs : unique_diff_on 𝕜 s) (hn : 1 ≤ n) :
continuous_on (λ x, fderiv_within 𝕜 f s x) s :=
((times_cont_diff_on_succ_iff_fderiv_within hs).1 (h.of_le hn)).2.continuous_on
lemma times_cont_diff_on.continuous_on_fderiv_of_open {n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f s) (hs : is_open s) (hn : 1 ≤ n) :
continuous_on (λ x, fderiv 𝕜 f x) s :=
((times_cont_diff_on_succ_iff_fderiv_of_open hs).1 (h.of_le hn)).2.continuous_on
/-- If a function is at least `C^1`, its bundled derivative (mapping `(x, v)` to `Df(x) v`) is
continuous. -/
lemma times_cont_diff_on.continuous_on_fderiv_within_apply
{n : with_top ℕ} (h : times_cont_diff_on 𝕜 n f s) (hs : unique_diff_on 𝕜 s) (hn : 1 ≤ n) :
continuous_on (λp : E × E, (fderiv_within 𝕜 f s p.1 : E → F) p.2) (set.prod s univ) :=
begin
have A : continuous (λq : (E →L[𝕜] F) × E, q.1 q.2) := is_bounded_bilinear_map_apply.continuous,
have B : continuous_on (λp : E × E, (fderiv_within 𝕜 f s p.1, p.2)) (set.prod s univ),
{ apply continuous_on.prod _ continuous_snd.continuous_on,
exact continuous_on.comp (h.continuous_on_fderiv_within hs hn) continuous_fst.continuous_on
(prod_subset_preimage_fst _ _) },
exact A.comp_continuous_on B
end
/-! ### Functions with a Taylor series on the whole space -/
/-- `has_ftaylor_series_up_to n f p` registers the fact that `p 0 = f` and `p (m+1)` is a
derivative of `p m` for `m < n`, and is continuous for `m ≤ n`. This is a predicate analogous to
`has_fderiv_at` but for higher order derivatives. -/
structure has_ftaylor_series_up_to (n : with_top ℕ)
(f : E → F) (p : E → formal_multilinear_series 𝕜 E F) : Prop :=
(zero_eq : ∀ x, (p x 0).uncurry0 = f x)
(fderiv : ∀ (m : ℕ) (hm : (m : with_top ℕ) < n), ∀ x,
has_fderiv_at (λ y, p y m) (p x m.succ).curry_left x)
(cont : ∀ (m : ℕ) (hm : (m : with_top ℕ) ≤ n), continuous (λ x, p x m))
lemma has_ftaylor_series_up_to.zero_eq' {n : with_top ℕ}
(h : has_ftaylor_series_up_to n f p) (x : E) :
p x 0 = (continuous_multilinear_curry_fin0 𝕜 E F).symm (f x) :=
by { rw ← h.zero_eq x, symmetry, exact continuous_multilinear_map.uncurry0_curry0 _ }
lemma has_ftaylor_series_up_to_on_univ_iff {n : with_top ℕ} :
has_ftaylor_series_up_to_on n f p univ ↔ has_ftaylor_series_up_to n f p :=
begin
split,
{ assume H,
split,
{ exact λ x, H.zero_eq x (mem_univ x) },
{ assume m hm x,
rw ← has_fderiv_within_at_univ,
exact H.fderiv_within m hm x (mem_univ x) },
{ assume m hm,
rw continuous_iff_continuous_on_univ,
exact H.cont m hm } },
{ assume H,
split,
{ exact λ x hx, H.zero_eq x },
{ assume m hm x hx,
rw has_fderiv_within_at_univ,
exact H.fderiv m hm x },
{ assume m hm,
rw ← continuous_iff_continuous_on_univ,
exact H.cont m hm } }
end
lemma has_ftaylor_series_up_to.has_ftaylor_series_up_to_on {n : with_top ℕ}
(h : has_ftaylor_series_up_to n f p) (s : set E) :
has_ftaylor_series_up_to_on n f p s :=
(has_ftaylor_series_up_to_on_univ_iff.2 h).mono (subset_univ _)
lemma has_ftaylor_series_up_to.of_le {m n : with_top ℕ}
(h : has_ftaylor_series_up_to n f p) (hmn : m ≤ n) :
has_ftaylor_series_up_to m f p :=
by { rw ← has_ftaylor_series_up_to_on_univ_iff at h ⊢, exact h.of_le hmn }
lemma has_ftaylor_series_up_to.continuous {n : with_top ℕ}
(h : has_ftaylor_series_up_to n f p) : continuous f :=
begin
rw ← has_ftaylor_series_up_to_on_univ_iff at h,
rw continuous_iff_continuous_on_univ,
exact h.continuous_on
end
lemma has_ftaylor_series_up_to_zero_iff :
has_ftaylor_series_up_to 0 f p ↔ continuous f ∧ (∀ x, (p x 0).uncurry0 = f x) :=
by simp [has_ftaylor_series_up_to_on_univ_iff.symm, continuous_iff_continuous_on_univ,
has_ftaylor_series_up_to_on_zero_iff]
/-- If a function has a Taylor series at order at least `1`, then the term of order `1` of this
series is a derivative of `f`. -/
lemma has_ftaylor_series_up_to.has_fderiv_at {n : with_top ℕ}
(h : has_ftaylor_series_up_to n f p) (hn : 1 ≤ n) (x : E) :
has_fderiv_at f (continuous_multilinear_curry_fin1 𝕜 E F (p x 1)) x :=
begin
rw [← has_fderiv_within_at_univ],
exact (has_ftaylor_series_up_to_on_univ_iff.2 h).has_fderiv_within_at hn (mem_univ _)
end
lemma has_ftaylor_series_up_to.differentiable {n : with_top ℕ}
(h : has_ftaylor_series_up_to n f p) (hn : 1 ≤ n) : differentiable 𝕜 f :=
λ x, (h.has_fderiv_at hn x).differentiable_at
/-- `p` is a Taylor series of `f` up to `n+1` if and only if `p.shift` is a Taylor series up to `n`
for `p 1`, which is a derivative of `f`. -/
theorem has_ftaylor_series_up_to_succ_iff_right {n : ℕ} :
has_ftaylor_series_up_to ((n + 1) : ℕ) f p ↔
(∀ x, (p x 0).uncurry0 = f x)
∧ (∀ x, has_fderiv_at (λ y, p y 0) (p x 1).curry_left x)
∧ has_ftaylor_series_up_to n
(λ x, continuous_multilinear_curry_fin1 𝕜 E F (p x 1)) (λ x, (p x).shift) :=
by simp [has_ftaylor_series_up_to_on_succ_iff_right, has_ftaylor_series_up_to_on_univ_iff.symm,
-add_comm, -with_zero.coe_add]
/-! ### Smooth functions at a point -/
variable (𝕜)
/-- A function is continuously differentiable up to `n` at a point `x` if, for any integer `k ≤ n`,
there is a neighborhood of `x` where `f` admits derivatives up to order `n`, which are continuous.
-/
def times_cont_diff_at (n : with_top ℕ) (f : E → F) (x : E) :=
times_cont_diff_within_at 𝕜 n f univ x
variable {𝕜}
theorem times_cont_diff_within_at_univ {n : with_top ℕ} :
times_cont_diff_within_at 𝕜 n f univ x ↔ times_cont_diff_at 𝕜 n f x :=
iff.rfl
lemma times_cont_diff_at_top :
times_cont_diff_at 𝕜 ∞ f x ↔ ∀ (n : ℕ), times_cont_diff_at 𝕜 n f x :=
by simp [← times_cont_diff_within_at_univ, times_cont_diff_within_at_top]
lemma times_cont_diff_at.times_cont_diff_within_at {n : with_top ℕ}
(h : times_cont_diff_at 𝕜 n f x) : times_cont_diff_within_at 𝕜 n f s x :=
h.mono (subset_univ _)
lemma times_cont_diff_within_at.times_cont_diff_at {n : with_top ℕ}
(h : times_cont_diff_within_at 𝕜 n f s x) (hx : s ∈ 𝓝 x) :
times_cont_diff_at 𝕜 n f x :=
by rwa [times_cont_diff_at, ← times_cont_diff_within_at_inter hx, univ_inter]
lemma times_cont_diff_at.congr_of_eventually_eq {n : with_top ℕ}
(h : times_cont_diff_at 𝕜 n f x) (hg : f₁ =ᶠ[𝓝 x] f) :
times_cont_diff_at 𝕜 n f₁ x :=
h.congr_of_eventually_eq' (by rwa nhds_within_univ) (mem_univ x)
lemma times_cont_diff_at.of_le {m n : with_top ℕ}
(h : times_cont_diff_at 𝕜 n f x) (hmn : m ≤ n) :
times_cont_diff_at 𝕜 m f x :=
h.of_le hmn
lemma times_cont_diff_at.continuous_at {n : with_top ℕ}
(h : times_cont_diff_at 𝕜 n f x) : continuous_at f x :=
by simpa [continuous_within_at_univ] using h.continuous_within_at
/-- If a function is `C^n` with `n ≥ 1` at a point, then it is differentiable there. -/
lemma times_cont_diff_at.differentiable_at {n : with_top ℕ}
(h : times_cont_diff_at 𝕜 n f x) (hn : 1 ≤ n) : differentiable_at 𝕜 f x :=
by simpa [hn, differentiable_within_at_univ] using h.differentiable_within_at
/-- A function is `C^(n + 1)` at a point iff locally, it has a derivative which is `C^n`. -/
theorem times_cont_diff_at_succ_iff_has_fderiv_at {n : ℕ} :
times_cont_diff_at 𝕜 ((n + 1) : ℕ) f x
↔ (∃ f' : E → (E →L[𝕜] F), (∃ u ∈ 𝓝 x, (∀ x ∈ u, has_fderiv_at f (f' x) x))
∧ (times_cont_diff_at 𝕜 n f' x)) :=
begin
rw [← times_cont_diff_within_at_univ, times_cont_diff_within_at_succ_iff_has_fderiv_within_at],
simp only [nhds_within_univ, exists_prop, mem_univ, insert_eq_of_mem],
split,
{ rintros ⟨u, H, f', h_fderiv, h_times_cont_diff⟩,
rcases mem_nhds_sets_iff.mp H with ⟨t, htu, ht, hxt⟩,
refine ⟨f', ⟨t, _⟩, h_times_cont_diff.times_cont_diff_at H⟩,
refine ⟨mem_nhds_sets_iff.mpr ⟨t, subset.rfl, ht, hxt⟩, _⟩,
intros y hyt,
refine (h_fderiv y (htu hyt)).has_fderiv_at _,
exact mem_nhds_sets_iff.mpr ⟨t, htu, ht, hyt⟩ },
{ rintros ⟨f', ⟨u, H, h_fderiv⟩, h_times_cont_diff⟩,
refine ⟨u, H, f', _, h_times_cont_diff.times_cont_diff_within_at⟩,
intros x hxu,
exact (h_fderiv x hxu).has_fderiv_within_at }
end
/-! ### Smooth functions -/
variable (𝕜)
/-- A function is continuously differentiable up to `n` if it admits derivatives up to
order `n`, which are continuous. Contrary to the case of definitions in domains (where derivatives
might not be unique) we do not need to localize the definition in space or time.
-/
definition times_cont_diff (n : with_top ℕ) (f : E → F) :=
∃ p : E → formal_multilinear_series 𝕜 E F, has_ftaylor_series_up_to n f p
variable {𝕜}
theorem times_cont_diff_on_univ {n : with_top ℕ} :
times_cont_diff_on 𝕜 n f univ ↔ times_cont_diff 𝕜 n f :=
begin
split,
{ assume H,
use ftaylor_series_within 𝕜 f univ,
rw ← has_ftaylor_series_up_to_on_univ_iff,
exact H.ftaylor_series_within unique_diff_on_univ },
{ rintros ⟨p, hp⟩ x hx m hm,
exact ⟨univ, filter.univ_sets _, p, (hp.has_ftaylor_series_up_to_on univ).of_le hm⟩ }
end
lemma times_cont_diff_iff_times_cont_diff_at {n : with_top ℕ} :
times_cont_diff 𝕜 n f ↔ ∀ x, times_cont_diff_at 𝕜 n f x :=
by simp [← times_cont_diff_on_univ, times_cont_diff_on, times_cont_diff_at]
lemma times_cont_diff.times_cont_diff_at {n : with_top ℕ} (h : times_cont_diff 𝕜 n f) :
times_cont_diff_at 𝕜 n f x :=
times_cont_diff_iff_times_cont_diff_at.1 h x
lemma times_cont_diff.times_cont_diff_within_at {n : with_top ℕ} (h : times_cont_diff 𝕜 n f) :
times_cont_diff_within_at 𝕜 n f s x :=
h.times_cont_diff_at.times_cont_diff_within_at
lemma times_cont_diff_top :
times_cont_diff 𝕜 ∞ f ↔ ∀ (n : ℕ), times_cont_diff 𝕜 n f :=
by simp [times_cont_diff_on_univ.symm, times_cont_diff_on_top]
lemma times_cont_diff_all_iff_nat :
(∀ n, times_cont_diff 𝕜 n f) ↔ (∀ n : ℕ, times_cont_diff 𝕜 n f) :=
by simp only [← times_cont_diff_on_univ, times_cont_diff_on_all_iff_nat]
lemma times_cont_diff.times_cont_diff_on {n : with_top ℕ}
(h : times_cont_diff 𝕜 n f) : times_cont_diff_on 𝕜 n f s :=
(times_cont_diff_on_univ.2 h).mono (subset_univ _)
@[simp] lemma times_cont_diff_zero :
times_cont_diff 𝕜 0 f ↔ continuous f :=
begin
rw [← times_cont_diff_on_univ, continuous_iff_continuous_on_univ],
exact times_cont_diff_on_zero
end
lemma times_cont_diff_at_zero :
times_cont_diff_at 𝕜 0 f x ↔ ∃ u ∈ 𝓝 x, continuous_on f u :=
by { rw ← times_cont_diff_within_at_univ, simp [times_cont_diff_within_at_zero, nhds_within_univ] }
lemma times_cont_diff.of_le {m n : with_top ℕ}
(h : times_cont_diff 𝕜 n f) (hmn : m ≤ n) :
times_cont_diff 𝕜 m f :=
times_cont_diff_on_univ.1 $ (times_cont_diff_on_univ.2 h).of_le hmn
lemma times_cont_diff.continuous {n : with_top ℕ}
(h : times_cont_diff 𝕜 n f) : continuous f :=
times_cont_diff_zero.1 (h.of_le bot_le)
/-- If a function is `C^n` with `n ≥ 1`, then it is differentiable. -/
lemma times_cont_diff.differentiable {n : with_top ℕ}
(h : times_cont_diff 𝕜 n f) (hn : 1 ≤ n) : differentiable 𝕜 f :=
differentiable_on_univ.1 $ (times_cont_diff_on_univ.2 h).differentiable_on hn
/-! ### Iterated derivative -/
variable (𝕜)
/-- The `n`-th derivative of a function, as a multilinear map, defined inductively. -/
noncomputable def iterated_fderiv (n : ℕ) (f : E → F) :
E → (E [×n]→L[𝕜] F) :=
nat.rec_on n
(λ x, continuous_multilinear_map.curry0 𝕜 E (f x))
(λ n rec x, continuous_linear_map.uncurry_left (fderiv 𝕜 rec x))
/-- Formal Taylor series associated to a function within a set. -/
def ftaylor_series (f : E → F) (x : E) : formal_multilinear_series 𝕜 E F :=
λ n, iterated_fderiv 𝕜 n f x
variable {𝕜}
@[simp] lemma iterated_fderiv_zero_apply (m : (fin 0) → E) :
(iterated_fderiv 𝕜 0 f x : ((fin 0) → E) → F) m = f x := rfl
lemma iterated_fderiv_zero_eq_comp :
iterated_fderiv 𝕜 0 f = (continuous_multilinear_curry_fin0 𝕜 E F).symm ∘ f := rfl
lemma iterated_fderiv_succ_apply_left {n : ℕ} (m : fin (n + 1) → E):
(iterated_fderiv 𝕜 (n + 1) f x : (fin (n + 1) → E) → F) m
= (fderiv 𝕜 (iterated_fderiv 𝕜 n f) x : E → (E [×n]→L[𝕜] F)) (m 0) (tail m) := rfl
/-- Writing explicitly the `n+1`-th derivative as the composition of a currying linear equiv,
and the derivative of the `n`-th derivative. -/
lemma iterated_fderiv_succ_eq_comp_left {n : ℕ} :
iterated_fderiv 𝕜 (n + 1) f =
(continuous_multilinear_curry_left_equiv 𝕜 (λ(i : fin (n + 1)), E) F)
∘ (fderiv 𝕜 (iterated_fderiv 𝕜 n f)) := rfl
lemma iterated_fderiv_within_univ {n : ℕ} :
iterated_fderiv_within 𝕜 n f univ = iterated_fderiv 𝕜 n f :=
begin
induction n with n IH,
{ ext x, simp },
{ ext x m,
rw [iterated_fderiv_succ_apply_left, iterated_fderiv_within_succ_apply_left, IH,
fderiv_within_univ] }
end
lemma ftaylor_series_within_univ :
ftaylor_series_within 𝕜 f univ = ftaylor_series 𝕜 f :=
begin
ext1 x, ext1 n,
change iterated_fderiv_within 𝕜 n f univ x = iterated_fderiv 𝕜 n f x,
rw iterated_fderiv_within_univ
end
theorem iterated_fderiv_succ_apply_right {n : ℕ} (m : fin (n + 1) → E) :
(iterated_fderiv 𝕜 (n + 1) f x : (fin (n + 1) → E) → F) m
= iterated_fderiv 𝕜 n (λy, fderiv 𝕜 f y) x (init m) (m (last n)) :=
begin
rw [← iterated_fderiv_within_univ, ← iterated_fderiv_within_univ, ← fderiv_within_univ],
exact iterated_fderiv_within_succ_apply_right unique_diff_on_univ (mem_univ _) _
end
/-- Writing explicitly the `n+1`-th derivative as the composition of a currying linear equiv,
and the `n`-th derivative of the derivative. -/
lemma iterated_fderiv_succ_eq_comp_right {n : ℕ} :
iterated_fderiv 𝕜 (n + 1) f x =
((continuous_multilinear_curry_right_equiv' 𝕜 n E F)
∘ (iterated_fderiv 𝕜 n (λy, fderiv 𝕜 f y))) x :=
by { ext m, rw iterated_fderiv_succ_apply_right, refl }
@[simp] lemma iterated_fderiv_one_apply (m : (fin 1) → E) :
(iterated_fderiv 𝕜 1 f x : ((fin 1) → E) → F) m
= (fderiv 𝕜 f x : E → F) (m 0) :=
by { rw [iterated_fderiv_succ_apply_right, iterated_fderiv_zero_apply], refl }
/-- When a function is `C^n` in a set `s` of unique differentiability, it admits
`ftaylor_series_within 𝕜 f s` as a Taylor series up to order `n` in `s`. -/
theorem times_cont_diff_on_iff_ftaylor_series {n : with_top ℕ} :
times_cont_diff 𝕜 n f ↔ has_ftaylor_series_up_to n f (ftaylor_series 𝕜 f) :=
begin
split,
{ rw [← times_cont_diff_on_univ, ← has_ftaylor_series_up_to_on_univ_iff,
← ftaylor_series_within_univ],
exact λ h, times_cont_diff_on.ftaylor_series_within h unique_diff_on_univ },
{ assume h, exact ⟨ftaylor_series 𝕜 f, h⟩ }
end
lemma times_cont_diff_iff_continuous_differentiable {n : with_top ℕ} :
times_cont_diff 𝕜 n f ↔
(∀ (m : ℕ), (m : with_top ℕ) ≤ n → continuous (λ x, iterated_fderiv 𝕜 m f x))
∧ (∀ (m : ℕ), (m : with_top ℕ) < n → differentiable 𝕜 (λ x, iterated_fderiv 𝕜 m f x)) :=
by simp [times_cont_diff_on_univ.symm, continuous_iff_continuous_on_univ,
differentiable_on_univ.symm, iterated_fderiv_within_univ,
times_cont_diff_on_iff_continuous_on_differentiable_on unique_diff_on_univ]
lemma times_cont_diff_of_differentiable_iterated_fderiv {n : with_top ℕ}
(h : ∀(m : ℕ), (m : with_top ℕ) ≤ n → differentiable 𝕜 (iterated_fderiv 𝕜 m f)) :
times_cont_diff 𝕜 n f :=
times_cont_diff_iff_continuous_differentiable.2
⟨λ m hm, (h m hm).continuous, λ m hm, (h m (le_of_lt hm))⟩
/-- A function is `C^(n + 1)` on a domain with unique derivatives if and only if it is differentiable
there, and its derivative is `C^n`. -/
theorem times_cont_diff_succ_iff_fderiv {n : ℕ} :
times_cont_diff 𝕜 ((n + 1) : ℕ) f ↔
differentiable 𝕜 f ∧ times_cont_diff 𝕜 n (λ y, fderiv 𝕜 f y) :=
by simp [times_cont_diff_on_univ.symm, differentiable_on_univ.symm, fderiv_within_univ.symm,
- fderiv_within_univ, times_cont_diff_on_succ_iff_fderiv_within unique_diff_on_univ,
-with_zero.coe_add, -add_comm]
/-- A function is `C^∞` on a domain with unique derivatives if and only if it is differentiable
there, and its derivative is `C^∞`. -/
theorem times_cont_diff_top_iff_fderiv :
times_cont_diff 𝕜 ∞ f ↔
differentiable 𝕜 f ∧ times_cont_diff 𝕜 ∞ (λ y, fderiv 𝕜 f y) :=
begin
simp [times_cont_diff_on_univ.symm, differentiable_on_univ.symm, fderiv_within_univ.symm,
- fderiv_within_univ],
rw times_cont_diff_on_top_iff_fderiv_within unique_diff_on_univ,
end
lemma times_cont_diff.continuous_fderiv {n : with_top ℕ}
(h : times_cont_diff 𝕜 n f) (hn : 1 ≤ n) :
continuous (λ x, fderiv 𝕜 f x) :=
((times_cont_diff_succ_iff_fderiv).1 (h.of_le hn)).2.continuous
/-- If a function is at least `C^1`, its bundled derivative (mapping `(x, v)` to `Df(x) v`) is
continuous. -/
lemma times_cont_diff.continuous_fderiv_apply {n : with_top ℕ}
(h : times_cont_diff 𝕜 n f) (hn : 1 ≤ n) :
continuous (λp : E × E, (fderiv 𝕜 f p.1 : E → F) p.2) :=
begin
have A : continuous (λq : (E →L[𝕜] F) × E, q.1 q.2) := is_bounded_bilinear_map_apply.continuous,
have B : continuous (λp : E × E, (fderiv 𝕜 f p.1, p.2)),
{ apply continuous.prod_mk _ continuous_snd,
exact continuous.comp (h.continuous_fderiv hn) continuous_fst },
exact A.comp B
end
/-! ### Constants -/
lemma iterated_fderiv_within_zero_fun {n : ℕ} :
iterated_fderiv 𝕜 n (λ x : E, (0 : F)) = 0 :=
begin
induction n with n IH,
{ ext m, simp },
{ ext x m,
rw [iterated_fderiv_succ_apply_left, IH],
change (fderiv 𝕜 (λ (x : E), (0 : (E [×n]→L[𝕜] F))) x : E → (E [×n]→L[𝕜] F)) (m 0) (tail m) = _,
rw fderiv_const,
refl }
end
lemma times_cont_diff_zero_fun {n : with_top ℕ} :
times_cont_diff 𝕜 n (λ x : E, (0 : F)) :=
begin
apply times_cont_diff_of_differentiable_iterated_fderiv (λm hm, _),
rw iterated_fderiv_within_zero_fun,
apply differentiable_const (0 : (E [×m]→L[𝕜] F))
end
/--
Constants are `C^∞`.
-/
lemma times_cont_diff_const {n : with_top ℕ} {c : F} : times_cont_diff 𝕜 n (λx : E, c) :=
begin
suffices h : times_cont_diff 𝕜 ∞ (λx : E, c), by exact h.of_le le_top,
rw times_cont_diff_top_iff_fderiv,
refine ⟨differentiable_const c, _⟩,
rw fderiv_const,
exact times_cont_diff_zero_fun
end
lemma times_cont_diff_on_const {n : with_top ℕ} {c : F} {s : set E} :
times_cont_diff_on 𝕜 n (λx : E, c) s :=
times_cont_diff_const.times_cont_diff_on
lemma times_cont_diff_at_const {n : with_top ℕ} {c : F} :
times_cont_diff_at 𝕜 n (λx : E, c) x :=
times_cont_diff_const.times_cont_diff_at
lemma times_cont_diff_within_at_const {n : with_top ℕ} {c : F} :
times_cont_diff_within_at 𝕜 n (λx : E, c) s x :=
times_cont_diff_at_const.times_cont_diff_within_at
@[nontriviality] lemma times_cont_diff_of_subsingleton [subsingleton F] {n : with_top ℕ} :
times_cont_diff 𝕜 n f :=
by { rw [subsingleton.elim f (λ _, 0)], exact times_cont_diff_const }
@[nontriviality] lemma times_cont_diff_at_of_subsingleton [subsingleton F] {n : with_top ℕ} :
times_cont_diff_at 𝕜 n f x :=
by { rw [subsingleton.elim f (λ _, 0)], exact times_cont_diff_at_const }
@[nontriviality] lemma times_cont_diff_within_at_of_subsingleton [subsingleton F] {n : with_top ℕ} :
times_cont_diff_within_at 𝕜 n f s x :=
by { rw [subsingleton.elim f (λ _, 0)], exact times_cont_diff_within_at_const }
@[nontriviality] lemma times_cont_diff_on_of_subsingleton [subsingleton F] {n : with_top ℕ} :
times_cont_diff_on 𝕜 n f s :=
by { rw [subsingleton.elim f (λ _, 0)], exact times_cont_diff_on_const }
/-! ### Linear functions -/
/--
Unbundled bounded linear functions are `C^∞`.
-/
lemma is_bounded_linear_map.times_cont_diff {n : with_top ℕ} (hf : is_bounded_linear_map 𝕜 f) :
times_cont_diff 𝕜 n f :=
begin
suffices h : times_cont_diff 𝕜 ∞ f, by exact h.of_le le_top,
rw times_cont_diff_top_iff_fderiv,
refine ⟨hf.differentiable, _⟩,
simp [hf.fderiv],
exact times_cont_diff_const
end
lemma continuous_linear_map.times_cont_diff {n : with_top ℕ} (f : E →L[𝕜] F) :
times_cont_diff 𝕜 n f :=
f.is_bounded_linear_map.times_cont_diff
lemma continuous_linear_equiv.times_cont_diff {n : with_top ℕ} (f : E ≃L[𝕜] F) :
times_cont_diff 𝕜 n f :=
(f : E →L[𝕜] F).times_cont_diff
lemma linear_isometry_map.times_cont_diff {n : with_top ℕ} (f : E →ₗᵢ[𝕜] F) :
times_cont_diff 𝕜 n f :=
f.to_continuous_linear_map.times_cont_diff
lemma linear_isometry_equiv.times_cont_diff {n : with_top ℕ} (f : E ≃ₗᵢ[𝕜] F) :
times_cont_diff 𝕜 n f :=
(f : E →L[𝕜] F).times_cont_diff
/--
The first projection in a product is `C^∞`.
-/
lemma times_cont_diff_fst {n : with_top ℕ} : times_cont_diff 𝕜 n (prod.fst : E × F → E) :=
is_bounded_linear_map.times_cont_diff is_bounded_linear_map.fst
/--
The first projection on a domain in a product is `C^∞`.
-/
lemma times_cont_diff_on_fst {s : set (E×F)} {n : with_top ℕ} :
times_cont_diff_on 𝕜 n (prod.fst : E × F → E) s :=
times_cont_diff.times_cont_diff_on times_cont_diff_fst
/--
The first projection at a point in a product is `C^∞`.
-/
lemma times_cont_diff_at_fst {p : E × F} {n : with_top ℕ} :
times_cont_diff_at 𝕜 n (prod.fst : E × F → E) p :=
times_cont_diff_fst.times_cont_diff_at
/--
The first projection within a domain at a point in a product is `C^∞`.
-/
lemma times_cont_diff_within_at_fst {s : set (E × F)} {p : E × F} {n : with_top ℕ} :
times_cont_diff_within_at 𝕜 n (prod.fst : E × F → E) s p :=
times_cont_diff_fst.times_cont_diff_within_at
/--
The second projection in a product is `C^∞`.
-/
lemma times_cont_diff_snd {n : with_top ℕ} : times_cont_diff 𝕜 n (prod.snd : E × F → F) :=
is_bounded_linear_map.times_cont_diff is_bounded_linear_map.snd
/--
The second projection on a domain in a product is `C^∞`.
-/
lemma times_cont_diff_on_snd {s : set (E×F)} {n : with_top ℕ} :
times_cont_diff_on 𝕜 n (prod.snd : E × F → F) s :=
times_cont_diff.times_cont_diff_on times_cont_diff_snd
/--
The second projection at a point in a product is `C^∞`.
-/
lemma times_cont_diff_at_snd {p : E × F} {n : with_top ℕ} :
times_cont_diff_at 𝕜 n (prod.snd : E × F → F) p :=
times_cont_diff_snd.times_cont_diff_at
/--
The second projection within a domain at a point in a product is `C^∞`.
-/
lemma times_cont_diff_within_at_snd {s : set (E × F)} {p : E × F} {n : with_top ℕ} :
times_cont_diff_within_at 𝕜 n (prod.snd : E × F → F) s p :=
times_cont_diff_snd.times_cont_diff_within_at
/--
The identity is `C^∞`.
-/
lemma times_cont_diff_id {n : with_top ℕ} : times_cont_diff 𝕜 n (id : E → E) :=
is_bounded_linear_map.id.times_cont_diff
lemma times_cont_diff_within_at_id {n : with_top ℕ} {s x} :
times_cont_diff_within_at 𝕜 n (id : E → E) s x :=
times_cont_diff_id.times_cont_diff_within_at
lemma times_cont_diff_at_id {n : with_top ℕ} {x} :
times_cont_diff_at 𝕜 n (id : E → E) x :=
times_cont_diff_id.times_cont_diff_at
lemma times_cont_diff_on_id {n : with_top ℕ} {s} :
times_cont_diff_on 𝕜 n (id : E → E) s :=
times_cont_diff_id.times_cont_diff_on
/--
Bilinear functions are `C^∞`.
-/
lemma is_bounded_bilinear_map.times_cont_diff {n : with_top ℕ} (hb : is_bounded_bilinear_map 𝕜 b) :
times_cont_diff 𝕜 n b :=
begin
suffices h : times_cont_diff 𝕜 ∞ b, by exact h.of_le le_top,
rw times_cont_diff_top_iff_fderiv,
refine ⟨hb.differentiable, _⟩,
simp [hb.fderiv],
exact hb.is_bounded_linear_map_deriv.times_cont_diff
end
/-- If `f` admits a Taylor series `p` in a set `s`, and `g` is linear, then `g ∘ f` admits a Taylor
series whose `k`-th term is given by `g ∘ (p k)`. -/
lemma has_ftaylor_series_up_to_on.continuous_linear_map_comp {n : with_top ℕ} (g : F →L[𝕜] G)
(hf : has_ftaylor_series_up_to_on n f p s) :
has_ftaylor_series_up_to_on n (g ∘ f) (λ x k, g.comp_continuous_multilinear_map (p x k)) s :=
begin
split,
{ assume x hx, simp [(hf.zero_eq x hx).symm] },
{ assume m hm x hx,
let A : (E [×m]→L[𝕜] F) → (E [×m]→L[𝕜] G) := λ f, g.comp_continuous_multilinear_map f,
have hA : is_bounded_linear_map 𝕜 A :=
is_bounded_bilinear_map_comp_multilinear.is_bounded_linear_map_right _,
have := hf.fderiv_within m hm x hx,
convert has_fderiv_at.comp_has_fderiv_within_at x (hA.has_fderiv_at) this },
{ assume m hm,
let A : (E [×m]→L[𝕜] F) → (E [×m]→L[𝕜] G) :=
λ f, g.comp_continuous_multilinear_map f,
have hA : is_bounded_linear_map 𝕜 A :=
is_bounded_bilinear_map_comp_multilinear.is_bounded_linear_map_right _,
exact hA.continuous.comp_continuous_on (hf.cont m hm) }
end
/-- Composition by continuous linear maps on the left preserves `C^n` functions in a domain
at a point. -/
lemma times_cont_diff_within_at.continuous_linear_map_comp {n : with_top ℕ} (g : F →L[𝕜] G)
(hf : times_cont_diff_within_at 𝕜 n f s x) :
times_cont_diff_within_at 𝕜 n (g ∘ f) s x :=
begin
assume m hm,
rcases hf m hm with ⟨u, hu, p, hp⟩,
exact ⟨u, hu, _, hp.continuous_linear_map_comp g⟩,
end
/-- Composition by continuous linear maps on the left preserves `C^n` functions in a domain
at a point. -/
lemma times_cont_diff_at.continuous_linear_map_comp {n : with_top ℕ} (g : F →L[𝕜] G)
(hf : times_cont_diff_at 𝕜 n f x) :
times_cont_diff_at 𝕜 n (g ∘ f) x :=
times_cont_diff_within_at.continuous_linear_map_comp g hf
/-- Composition by continuous linear maps on the left preserves `C^n` functions on domains. -/
lemma times_cont_diff_on.continuous_linear_map_comp {n : with_top ℕ} (g : F →L[𝕜] G)
(hf : times_cont_diff_on 𝕜 n f s) :
times_cont_diff_on 𝕜 n (g ∘ f) s :=
λ x hx, (hf x hx).continuous_linear_map_comp g
/-- Composition by continuous linear maps on the left preserves `C^n` functions. -/
lemma times_cont_diff.continuous_linear_map_comp {n : with_top ℕ} {f : E → F} (g : F →L[𝕜] G)
(hf : times_cont_diff 𝕜 n f) : times_cont_diff 𝕜 n (λx, g (f x)) :=
times_cont_diff_on_univ.1 $ times_cont_diff_on.continuous_linear_map_comp
_ (times_cont_diff_on_univ.2 hf)
/-- Composition by continuous linear equivs on the left respects higher differentiability on
domains. -/
lemma continuous_linear_equiv.comp_times_cont_diff_within_at_iff
{n : with_top ℕ} (e : F ≃L[𝕜] G) :
times_cont_diff_within_at 𝕜 n (e ∘ f) s x ↔ times_cont_diff_within_at 𝕜 n f s x :=
begin
split,
{ assume H,
have : f = e.symm ∘ (e ∘ f),
by { ext y, simp only [function.comp_app], rw e.symm_apply_apply (f y) },
rw this,
exact H.continuous_linear_map_comp _ },
{ assume H,
exact H.continuous_linear_map_comp _ }
end
/-- Composition by continuous linear equivs on the left respects higher differentiability on
domains. -/
lemma continuous_linear_equiv.comp_times_cont_diff_on_iff
{n : with_top ℕ} (e : F ≃L[𝕜] G) :
times_cont_diff_on 𝕜 n (e ∘ f) s ↔ times_cont_diff_on 𝕜 n f s :=
by simp [times_cont_diff_on, e.comp_times_cont_diff_within_at_iff]
/-- If `f` admits a Taylor series `p` in a set `s`, and `g` is linear, then `f ∘ g` admits a Taylor
series in `g ⁻¹' s`, whose `k`-th term is given by `p k (g v₁, ..., g vₖ)` . -/
lemma has_ftaylor_series_up_to_on.comp_continuous_linear_map {n : with_top ℕ}
(hf : has_ftaylor_series_up_to_on n f p s) (g : G →L[𝕜] E) :
has_ftaylor_series_up_to_on n (f ∘ g)
(λ x k, (p (g x) k).comp_continuous_linear_map (λ _, g)) (g ⁻¹' s) :=
begin
let A : Π m : ℕ, (E [×m]→L[𝕜] F) → (G [×m]→L[𝕜] F) :=
λ m h, h.comp_continuous_linear_map (λ _, g),
have hA : ∀ m, is_bounded_linear_map 𝕜 (A m) :=
λ m, is_bounded_linear_map_continuous_multilinear_map_comp_linear g,
split,
{ assume x hx,
simp only [(hf.zero_eq (g x) hx).symm, function.comp_app],
change p (g x) 0 (λ (i : fin 0), g 0) = p (g x) 0 0,
rw continuous_linear_map.map_zero,
refl },
{ assume m hm x hx,
convert ((hA m).has_fderiv_at).comp_has_fderiv_within_at x
((hf.fderiv_within m hm (g x) hx).comp x (g.has_fderiv_within_at) (subset.refl _)),
ext y v,
change p (g x) (nat.succ m) (g ∘ (cons y v)) = p (g x) m.succ (cons (g y) (g ∘ v)),
rw comp_cons },
{ assume m hm,
exact (hA m).continuous.comp_continuous_on
((hf.cont m hm).comp g.continuous.continuous_on (subset.refl _)) }
end
/-- Composition by continuous linear maps on the right preserves `C^n` functions at a point on
a domain. -/
lemma times_cont_diff_within_at.comp_continuous_linear_map {n : with_top ℕ} {x : G}
(g : G →L[𝕜] E) (hf : times_cont_diff_within_at 𝕜 n f s (g x)) :
times_cont_diff_within_at 𝕜 n (f ∘ g) (g ⁻¹' s) x :=
begin
assume m hm,
rcases hf m hm with ⟨u, hu, p, hp⟩,
refine ⟨g ⁻¹' u, _, _, hp.comp_continuous_linear_map g⟩,
apply continuous_within_at.preimage_mem_nhds_within',
{ exact g.continuous.continuous_within_at },
{ apply nhds_within_mono (g x) _ hu,
rw image_insert_eq,
exact insert_subset_insert (image_preimage_subset g s) }
end
/-- Composition by continuous linear maps on the right preserves `C^n` functions on domains. -/
lemma times_cont_diff_on.comp_continuous_linear_map {n : with_top ℕ}
(hf : times_cont_diff_on 𝕜 n f s) (g : G →L[𝕜] E) :
times_cont_diff_on 𝕜 n (f ∘ g) (g ⁻¹' s) :=
λ x hx, (hf (g x) hx).comp_continuous_linear_map g
/-- Composition by continuous linear maps on the right preserves `C^n` functions. -/
lemma times_cont_diff.comp_continuous_linear_map {n : with_top ℕ} {f : E → F} {g : G →L[𝕜] E}
(hf : times_cont_diff 𝕜 n f) : times_cont_diff 𝕜 n (f ∘ g) :=
times_cont_diff_on_univ.1 $
times_cont_diff_on.comp_continuous_linear_map (times_cont_diff_on_univ.2 hf) _
/-- Composition by continuous linear equivs on the right respects higher differentiability at a
point in a domain. -/
lemma continuous_linear_equiv.times_cont_diff_within_at_comp_iff {n : with_top ℕ} (e : G ≃L[𝕜] E) :
times_cont_diff_within_at 𝕜 n (f ∘ e) (e ⁻¹' s) (e.symm x) ↔
times_cont_diff_within_at 𝕜 n f s x :=
begin
split,
{ assume H,
have A : f = (f ∘ e) ∘ e.symm,
by { ext y, simp only [function.comp_app], rw e.apply_symm_apply y },
have B : e.symm ⁻¹' (e ⁻¹' s) = s,
by { rw [← preimage_comp, e.self_comp_symm], refl },
rw [A, ← B],
exact H.comp_continuous_linear_map _},
{ assume H,
have : x = e (e.symm x), by simp,
rw this at H,
exact H.comp_continuous_linear_map _ },
end
/-- Composition by continuous linear equivs on the right respects higher differentiability on
domains. -/
lemma continuous_linear_equiv.times_cont_diff_on_comp_iff {n : with_top ℕ} (e : G ≃L[𝕜] E) :
times_cont_diff_on 𝕜 n (f ∘ e) (e ⁻¹' s) ↔ times_cont_diff_on 𝕜 n f s :=
begin
refine ⟨λ H, _, λ H, H.comp_continuous_linear_map _⟩,
have A : f = (f ∘ e) ∘ e.symm,
by { ext y, simp only [function.comp_app], rw e.apply_symm_apply y },
have B : e.symm ⁻¹' (e ⁻¹' s) = s,
by { rw [← preimage_comp, e.self_comp_symm], refl },
rw [A, ← B],
exact H.comp_continuous_linear_map _
end
/-- If two functions `f` and `g` admit Taylor series `p` and `q` in a set `s`, then the cartesian
product of `f` and `g` admits the cartesian product of `p` and `q` as a Taylor series. -/
lemma has_ftaylor_series_up_to_on.prod {n : with_top ℕ} (hf : has_ftaylor_series_up_to_on n f p s)
{g : E → G} {q : E → formal_multilinear_series 𝕜 E G} (hg : has_ftaylor_series_up_to_on n g q s) :
has_ftaylor_series_up_to_on n (λ y, (f y, g y)) (λ y k, (p y k).prod (q y k)) s :=
begin
split,
{ assume x hx, rw [← hf.zero_eq x hx, ← hg.zero_eq x hx], refl },
{ assume m hm x hx,
let A : (E [×m]→L[𝕜] F) × (E [×m]→L[𝕜] G) → (E [×m]→L[𝕜] (F × G)) := λ p, p.1.prod p.2,
have hA : is_bounded_linear_map 𝕜 A := is_bounded_linear_map_prod_multilinear,
convert hA.has_fderiv_at.comp_has_fderiv_within_at x
((hf.fderiv_within m hm x hx).prod (hg.fderiv_within m hm x hx)) },
{ assume m hm,
let A : (E [×m]→L[𝕜] F) × (E [×m]→L[𝕜] G) → (E [×m]→L[𝕜] (F × G)) := λ p, p.1.prod p.2,
have hA : is_bounded_linear_map 𝕜 A := is_bounded_linear_map_prod_multilinear,
exact hA.continuous.comp_continuous_on ((hf.cont m hm).prod (hg.cont m hm)) }
end
/-- The cartesian product of `C^n` functions at a point in a domain is `C^n`. -/
lemma times_cont_diff_within_at.prod {n : with_top ℕ} {s : set E} {f : E → F} {g : E → G}
(hf : times_cont_diff_within_at 𝕜 n f s x) (hg : times_cont_diff_within_at 𝕜 n g s x) :
times_cont_diff_within_at 𝕜 n (λx:E, (f x, g x)) s x :=
begin
assume m hm,
rcases hf m hm with ⟨u, hu, p, hp⟩,
rcases hg m hm with ⟨v, hv, q, hq⟩,
exact ⟨u ∩ v, filter.inter_mem_sets hu hv, _,
(hp.mono (inter_subset_left u v)).prod (hq.mono (inter_subset_right u v))⟩
end
/-- The cartesian product of `C^n` functions on domains is `C^n`. -/
lemma times_cont_diff_on.prod {n : with_top ℕ} {s : set E} {f : E → F} {g : E → G}
(hf : times_cont_diff_on 𝕜 n f s) (hg : times_cont_diff_on 𝕜 n g s) :
times_cont_diff_on 𝕜 n (λx:E, (f x, g x)) s :=
λ x hx, (hf x hx).prod (hg x hx)
/-- The cartesian product of `C^n` functions at a point is `C^n`. -/
lemma times_cont_diff_at.prod {n : with_top ℕ} {f : E → F} {g : E → G}
(hf : times_cont_diff_at 𝕜 n f x) (hg : times_cont_diff_at 𝕜 n g x) :
times_cont_diff_at 𝕜 n (λx:E, (f x, g x)) x :=
times_cont_diff_within_at_univ.1 $ times_cont_diff_within_at.prod (times_cont_diff_within_at_univ.2 hf)
(times_cont_diff_within_at_univ.2 hg)
/--
The cartesian product of `C^n` functions is `C^n`.
-/
lemma times_cont_diff.prod {n : with_top ℕ} {f : E → F} {g : E → G}
(hf : times_cont_diff 𝕜 n f) (hg : times_cont_diff 𝕜 n g) :
times_cont_diff 𝕜 n (λx:E, (f x, g x)) :=
times_cont_diff_on_univ.1 $ times_cont_diff_on.prod (times_cont_diff_on_univ.2 hf)
(times_cont_diff_on_univ.2 hg)
/-!
### Composition of `C^n` functions
We show that the composition of `C^n` functions is `C^n`. One way to prove it would be to write
the `n`-th derivative of the composition (this is Faà di Bruno's formula) and check its continuity,
but this is very painful. Instead, we go for a simple inductive proof. Assume it is done for `n`.
Then, to check it for `n+1`, one needs to check that the derivative of `g ∘ f` is `C^n`, i.e.,
that `Dg(f x) ⬝ Df(x)` is `C^n`. The term `Dg (f x)` is the composition of two `C^n` functions, so
it is `C^n` by the inductive assumption. The term `Df(x)` is also `C^n`. Then, the matrix
multiplication is the application of a bilinear map (which is `C^∞`, and therefore `C^n`) to
`x ↦ (Dg(f x), Df x)`. As the composition of two `C^n` maps, it is again `C^n`, and we are done.
There is a subtlety in this argument: we apply the inductive assumption to functions on other Banach
spaces. In maths, one would say: prove by induction over `n` that, for all `C^n` maps between all
pairs of Banach spaces, their composition is `C^n`. In Lean, this is fine as long as the spaces
stay in the same universe. This is not the case in the above argument: if `E` lives in universe `u`
and `F` lives in universe `v`, then linear maps from `E` to `F` (to which the derivative of `f`
belongs) is in universe `max u v`. If one could quantify over finitely many universes, the above
proof would work fine, but this is not the case. One could still write the proof considering spaces
in any universe in `u, v, w, max u v, max v w, max u v w`, but it would be extremely tedious and
lead to a lot of duplication. Instead, we formulate the above proof when all spaces live in the same
universe (where everything is fine), and then we deduce the general result by lifting all our spaces
to a common universe. We use the trick that any space `H` is isomorphic through a continuous linear
equiv to `continuous_multilinear_map (λ (i : fin 0), E × F × G) H` to change the universe level,
and then argue that composing with such a linear equiv does not change the fact of being `C^n`,
which we have already proved previously.
-/
/-- Auxiliary lemma proving that the composition of `C^n` functions on domains is `C^n` when all
spaces live in the same universe. Use instead `times_cont_diff_on.comp` which removes the universe
assumption (but is deduced from this one). -/
private lemma times_cont_diff_on.comp_same_univ
{Eu : Type u} [normed_group Eu] [normed_space 𝕜 Eu]
{Fu : Type u} [normed_group Fu] [normed_space 𝕜 Fu]
{Gu : Type u} [normed_group Gu] [normed_space 𝕜 Gu]
{n : with_top ℕ} {s : set Eu} {t : set Fu} {g : Fu → Gu} {f : Eu → Fu}
(hg : times_cont_diff_on 𝕜 n g t) (hf : times_cont_diff_on 𝕜 n f s) (st : s ⊆ f ⁻¹' t) :
times_cont_diff_on 𝕜 n (g ∘ f) s :=
begin
unfreezingI { induction n using with_top.nat_induction with n IH Itop generalizing Eu Fu Gu },
{ rw times_cont_diff_on_zero at hf hg ⊢,
exact continuous_on.comp hg hf st },
{ rw times_cont_diff_on_succ_iff_has_fderiv_within_at at hg ⊢,
assume x hx,
rcases (times_cont_diff_on_succ_iff_has_fderiv_within_at.1 hf) x hx
with ⟨u, hu, f', hf', f'_diff⟩,
rcases hg (f x) (st hx) with ⟨v, hv, g', hg', g'_diff⟩,
rw insert_eq_of_mem hx at hu ⊢,
have xu : x ∈ u := mem_of_mem_nhds_within hx hu,
let w := s ∩ (u ∩ f⁻¹' v),
have wv : w ⊆ f ⁻¹' v := λ y hy, hy.2.2,
have wu : w ⊆ u := λ y hy, hy.2.1,
have ws : w ⊆ s := λ y hy, hy.1,
refine ⟨w, _, λ y, (g' (f y)).comp (f' y), _, _⟩,
show w ∈ 𝓝[s] x,
{ apply filter.inter_mem_sets self_mem_nhds_within,
apply filter.inter_mem_sets hu,
apply continuous_within_at.preimage_mem_nhds_within',
{ rw ← continuous_within_at_inter' hu,
exact (hf' x xu).differentiable_within_at.continuous_within_at.mono
(inter_subset_right _ _) },
{ apply nhds_within_mono _ _ hv,
exact subset.trans (image_subset_iff.mpr st) (subset_insert (f x) t) } },
show ∀ y ∈ w,
has_fderiv_within_at (g ∘ f) ((g' (f y)).comp (f' y)) w y,
{ rintros y ⟨ys, yu, yv⟩,
exact (hg' (f y) yv).comp y ((hf' y yu).mono wu) wv },
show times_cont_diff_on 𝕜 n (λ y, (g' (f y)).comp (f' y)) w,
{ have A : times_cont_diff_on 𝕜 n (λ y, g' (f y)) w :=
IH g'_diff ((hf.of_le (with_top.coe_le_coe.2 (nat.le_succ n))).mono ws) wv,
have B : times_cont_diff_on 𝕜 n f' w := f'_diff.mono wu,
have C : times_cont_diff_on 𝕜 n (λ y, (f' y, g' (f y))) w :=
times_cont_diff_on.prod B A,
have D : times_cont_diff_on 𝕜 n (λ(p : (Eu →L[𝕜] Fu) × (Fu →L[𝕜] Gu)), p.2.comp p.1) univ :=
is_bounded_bilinear_map_comp.times_cont_diff.times_cont_diff_on,
exact IH D C (subset_univ _) } },
{ rw times_cont_diff_on_top at hf hg ⊢,
assume n,
apply Itop n (hg n) (hf n) st }
end
/-- The composition of `C^n` functions on domains is `C^n`. -/
lemma times_cont_diff_on.comp
{n : with_top ℕ} {s : set E} {t : set F} {g : F → G} {f : E → F}
(hg : times_cont_diff_on 𝕜 n g t) (hf : times_cont_diff_on 𝕜 n f s) (st : s ⊆ f ⁻¹' t) :
times_cont_diff_on 𝕜 n (g ∘ f) s :=
begin
/- we lift all the spaces to a common universe, as we have already proved the result in this
situation. For the lift, we use the trick that `H` is isomorphic through a
continuous linear equiv to `continuous_multilinear_map 𝕜 (λ (i : fin 0), (E × F × G)) H`, and
continuous linear equivs respect smoothness classes. -/
let Eu := continuous_multilinear_map 𝕜 (λ (i : fin 0), (E × F × G)) E,
letI : normed_group Eu := by apply_instance,
letI : normed_space 𝕜 Eu := by apply_instance,
let Fu := continuous_multilinear_map 𝕜 (λ (i : fin 0), (E × F × G)) F,
letI : normed_group Fu := by apply_instance,
letI : normed_space 𝕜 Fu := by apply_instance,
let Gu := continuous_multilinear_map 𝕜 (λ (i : fin 0), (E × F × G)) G,
letI : normed_group Gu := by apply_instance,
letI : normed_space 𝕜 Gu := by apply_instance,
-- declare the isomorphisms
let isoE : Eu ≃L[𝕜] E := continuous_multilinear_curry_fin0 𝕜 (E × F × G) E,
let isoF : Fu ≃L[𝕜] F := continuous_multilinear_curry_fin0 𝕜 (E × F × G) F,
let isoG : Gu ≃L[𝕜] G := continuous_multilinear_curry_fin0 𝕜 (E × F × G) G,
-- lift the functions to the new spaces, check smoothness there, and then go back.
let fu : Eu → Fu := (isoF.symm ∘ f) ∘ isoE,
have fu_diff : times_cont_diff_on 𝕜 n fu (isoE ⁻¹' s),
by rwa [isoE.times_cont_diff_on_comp_iff, isoF.symm.comp_times_cont_diff_on_iff],
let gu : Fu → Gu := (isoG.symm ∘ g) ∘ isoF,
have gu_diff : times_cont_diff_on 𝕜 n gu (isoF ⁻¹' t),
by rwa [isoF.times_cont_diff_on_comp_iff, isoG.symm.comp_times_cont_diff_on_iff],
have main : times_cont_diff_on 𝕜 n (gu ∘ fu) (isoE ⁻¹' s),
{ apply times_cont_diff_on.comp_same_univ gu_diff fu_diff,
assume y hy,
simp only [fu, continuous_linear_equiv.coe_apply, function.comp_app, mem_preimage],
rw isoF.apply_symm_apply (f (isoE y)),
exact st hy },
have : gu ∘ fu = (isoG.symm ∘ (g ∘ f)) ∘ isoE,
{ ext y,
simp only [function.comp_apply, gu, fu],
rw isoF.apply_symm_apply (f (isoE y)) },
rwa [this, isoE.times_cont_diff_on_comp_iff, isoG.symm.comp_times_cont_diff_on_iff] at main
end
/-- The composition of `C^n` functions on domains is `C^n`. -/
lemma times_cont_diff_on.comp'
{n : with_top ℕ} {s : set E} {t : set F} {g : F → G} {f : E → F}
(hg : times_cont_diff_on 𝕜 n g t) (hf : times_cont_diff_on 𝕜 n f s) :
times_cont_diff_on 𝕜 n (g ∘ f) (s ∩ f⁻¹' t) :=
hg.comp (hf.mono (inter_subset_left _ _)) (inter_subset_right _ _)
/-- The composition of a `C^n` function on a domain with a `C^n` function is `C^n`. -/
lemma times_cont_diff.comp_times_cont_diff_on {n : with_top ℕ} {s : set E} {g : F → G} {f : E → F}
(hg : times_cont_diff 𝕜 n g) (hf : times_cont_diff_on 𝕜 n f s) :
times_cont_diff_on 𝕜 n (g ∘ f) s :=
(times_cont_diff_on_univ.2 hg).comp hf subset_preimage_univ
/-- The composition of `C^n` functions is `C^n`. -/
lemma times_cont_diff.comp {n : with_top ℕ} {g : F → G} {f : E → F}
(hg : times_cont_diff 𝕜 n g) (hf : times_cont_diff 𝕜 n f) :
times_cont_diff 𝕜 n (g ∘ f) :=
times_cont_diff_on_univ.1 $ times_cont_diff_on.comp (times_cont_diff_on_univ.2 hg)
(times_cont_diff_on_univ.2 hf) (subset_univ _)
/-- The composition of `C^n` functions at points in domains is `C^n`. -/
lemma times_cont_diff_within_at.comp
{n : with_top ℕ} {s : set E} {t : set F} {g : F → G} {f : E → F} (x : E)
(hg : times_cont_diff_within_at 𝕜 n g t (f x))
(hf : times_cont_diff_within_at 𝕜 n f s x) (st : s ⊆ f ⁻¹' t) :
times_cont_diff_within_at 𝕜 n (g ∘ f) s x :=
begin
assume m hm,
rcases hg.times_cont_diff_on hm with ⟨u, u_nhd, ut, hu⟩,
rcases hf.times_cont_diff_on hm with ⟨v, v_nhd, vs, hv⟩,
have xmem : x ∈ f ⁻¹' u ∩ v :=
⟨(mem_of_mem_nhds_within (mem_insert (f x) _) u_nhd : _),
mem_of_mem_nhds_within (mem_insert x s) v_nhd⟩,
have : f ⁻¹' u ∈ 𝓝[insert x s] x,
{ apply hf.continuous_within_at.insert_self.preimage_mem_nhds_within',
apply nhds_within_mono _ _ u_nhd,
rw image_insert_eq,
exact insert_subset_insert (image_subset_iff.mpr st) },
have Z := ((hu.comp (hv.mono (inter_subset_right (f ⁻¹' u) v)) (inter_subset_left _ _))
.times_cont_diff_within_at) xmem m (le_refl _),
have : 𝓝[f ⁻¹' u ∩ v] x = 𝓝[insert x s] x,
{ have A : f ⁻¹' u ∩ v = (insert x s) ∩ (f ⁻¹' u ∩ v),
{ apply subset.antisymm _ (inter_subset_right _ _),
rintros y ⟨hy1, hy2⟩,
simp [hy1, hy2, vs hy2] },
rw [A, ← nhds_within_restrict''],
exact filter.inter_mem_sets this v_nhd },
rwa [insert_eq_of_mem xmem, this] at Z,
end
/-- The composition of `C^n` functions at points in domains is `C^n`. -/
lemma times_cont_diff_within_at.comp' {n : with_top ℕ} {s : set E} {t : set F} {g : F → G}
{f : E → F} (x : E)
(hg : times_cont_diff_within_at 𝕜 n g t (f x)) (hf : times_cont_diff_within_at 𝕜 n f s x) :
times_cont_diff_within_at 𝕜 n (g ∘ f) (s ∩ f⁻¹' t) x :=
hg.comp x (hf.mono (inter_subset_left _ _)) (inter_subset_right _ _)
lemma times_cont_diff_at.comp_times_cont_diff_within_at {n} (x : E)
(hg : times_cont_diff_at 𝕜 n g (f x)) (hf : times_cont_diff_within_at 𝕜 n f s x) :
times_cont_diff_within_at 𝕜 n (g ∘ f) s x :=
hg.comp x hf (maps_to_univ _ _)
/-- The composition of `C^n` functions at points is `C^n`. -/
lemma times_cont_diff_at.comp {n : with_top ℕ} (x : E)
(hg : times_cont_diff_at 𝕜 n g (f x))
(hf : times_cont_diff_at 𝕜 n f x) :
times_cont_diff_at 𝕜 n (g ∘ f) x :=
hg.comp x hf subset_preimage_univ
lemma times_cont_diff.comp_times_cont_diff_within_at
{n : with_top ℕ} {g : F → G} {f : E → F} (h : times_cont_diff 𝕜 n g)
(hf : times_cont_diff_within_at 𝕜 n f t x) :
times_cont_diff_within_at 𝕜 n (g ∘ f) t x :=
begin
have : times_cont_diff_within_at 𝕜 n g univ (f x) :=
h.times_cont_diff_at.times_cont_diff_within_at,
exact this.comp x hf (subset_univ _),
end
lemma times_cont_diff.comp_times_cont_diff_at
{n : with_top ℕ} {g : F → G} {f : E → F} (x : E)
(hg : times_cont_diff 𝕜 n g)
(hf : times_cont_diff_at 𝕜 n f x) :
times_cont_diff_at 𝕜 n (g ∘ f) x :=
hg.comp_times_cont_diff_within_at hf
/-- The bundled derivative of a `C^{n+1}` function is `C^n`. -/
lemma times_cont_diff_on_fderiv_within_apply {m n : with_top ℕ} {s : set E}
{f : E → F} (hf : times_cont_diff_on 𝕜 n f s) (hs : unique_diff_on 𝕜 s) (hmn : m + 1 ≤ n) :
times_cont_diff_on 𝕜 m (λp : E × E, (fderiv_within 𝕜 f s p.1 : E →L[𝕜] F) p.2)
(set.prod s (univ : set E)) :=
begin
have A : times_cont_diff 𝕜 m (λp : (E →L[𝕜] F) × E, p.1 p.2),
{ apply is_bounded_bilinear_map.times_cont_diff,
exact is_bounded_bilinear_map_apply },
have B : times_cont_diff_on 𝕜 m
(λ (p : E × E), ((fderiv_within 𝕜 f s p.fst), p.snd)) (set.prod s univ),
{ apply times_cont_diff_on.prod _ _,
{ have I : times_cont_diff_on 𝕜 m (λ (x : E), fderiv_within 𝕜 f s x) s :=
hf.fderiv_within hs hmn,
have J : times_cont_diff_on 𝕜 m (λ (x : E × E), x.1) (set.prod s univ) :=
times_cont_diff_fst.times_cont_diff_on,
exact times_cont_diff_on.comp I J (prod_subset_preimage_fst _ _) },
{ apply times_cont_diff.times_cont_diff_on _ ,
apply is_bounded_linear_map.snd.times_cont_diff } },
exact A.comp_times_cont_diff_on B
end
/-- The bundled derivative of a `C^{n+1}` function is `C^n`. -/
lemma times_cont_diff.times_cont_diff_fderiv_apply {n m : with_top ℕ} {f : E → F}
(hf : times_cont_diff 𝕜 n f) (hmn : m + 1 ≤ n) :
times_cont_diff 𝕜 m (λp : E × E, (fderiv 𝕜 f p.1 : E →L[𝕜] F) p.2) :=
begin
rw ← times_cont_diff_on_univ at ⊢ hf,
rw [← fderiv_within_univ, ← univ_prod_univ],
exact times_cont_diff_on_fderiv_within_apply hf unique_diff_on_univ hmn
end
/-! ### Sum of two functions -/
/- The sum is smooth. -/
lemma times_cont_diff_add {n : with_top ℕ} :
times_cont_diff 𝕜 n (λp : F × F, p.1 + p.2) :=
(is_bounded_linear_map.fst.add is_bounded_linear_map.snd).times_cont_diff
/-- The sum of two `C^n` functions within a set at a point is `C^n` within this set
at this point. -/
lemma times_cont_diff_within_at.add {n : with_top ℕ} {s : set E} {f g : E → F}
(hf : times_cont_diff_within_at 𝕜 n f s x) (hg : times_cont_diff_within_at 𝕜 n g s x) :
times_cont_diff_within_at 𝕜 n (λx, f x + g x) s x :=
times_cont_diff_add.times_cont_diff_within_at.comp x (hf.prod hg) subset_preimage_univ
/-- The sum of two `C^n` functions at a point is `C^n` at this point. -/
lemma times_cont_diff_at.add {n : with_top ℕ} {f g : E → F}
(hf : times_cont_diff_at 𝕜 n f x) (hg : times_cont_diff_at 𝕜 n g x) :
times_cont_diff_at 𝕜 n (λx, f x + g x) x :=
by rw [← times_cont_diff_within_at_univ] at *; exact hf.add hg
/-- The sum of two `C^n`functions is `C^n`. -/
lemma times_cont_diff.add {n : with_top ℕ} {f g : E → F}
(hf : times_cont_diff 𝕜 n f) (hg : times_cont_diff 𝕜 n g) :
times_cont_diff 𝕜 n (λx, f x + g x) :=
times_cont_diff_add.comp (hf.prod hg)
/-- The sum of two `C^n` functions on a domain is `C^n`. -/
lemma times_cont_diff_on.add {n : with_top ℕ} {s : set E} {f g : E → F}
(hf : times_cont_diff_on 𝕜 n f s) (hg : times_cont_diff_on 𝕜 n g s) :
times_cont_diff_on 𝕜 n (λx, f x + g x) s :=
λ x hx, (hf x hx).add (hg x hx)
/-! ### Negative -/
/- The negative is smooth. -/
lemma times_cont_diff_neg {n : with_top ℕ} :
times_cont_diff 𝕜 n (λp : F, -p) :=
is_bounded_linear_map.id.neg.times_cont_diff
/-- The negative of a `C^n` function within a domain at a point is `C^n` within this domain at
this point. -/
lemma times_cont_diff_within_at.neg {n : with_top ℕ} {s : set E} {f : E → F}
(hf : times_cont_diff_within_at 𝕜 n f s x) : times_cont_diff_within_at 𝕜 n (λx, -f x) s x :=
times_cont_diff_neg.times_cont_diff_within_at.comp x hf subset_preimage_univ
/-- The negative of a `C^n` function at a point is `C^n` at this point. -/
lemma times_cont_diff_at.neg {n : with_top ℕ} {f : E → F}
(hf : times_cont_diff_at 𝕜 n f x) : times_cont_diff_at 𝕜 n (λx, -f x) x :=
by rw ← times_cont_diff_within_at_univ at *; exact hf.neg
/-- The negative of a `C^n`function is `C^n`. -/
lemma times_cont_diff.neg {n : with_top ℕ} {f : E → F} (hf : times_cont_diff 𝕜 n f) :
times_cont_diff 𝕜 n (λx, -f x) :=
times_cont_diff_neg.comp hf
/-- The negative of a `C^n` function on a domain is `C^n`. -/
lemma times_cont_diff_on.neg {n : with_top ℕ} {s : set E} {f : E → F}
(hf : times_cont_diff_on 𝕜 n f s) : times_cont_diff_on 𝕜 n (λx, -f x) s :=
λ x hx, (hf x hx).neg
/-! ### Subtraction -/
/-- The difference of two `C^n` functions within a set at a point is `C^n` within this set
at this point. -/
lemma times_cont_diff_within_at.sub {n : with_top ℕ} {s : set E} {f g : E → F}
(hf : times_cont_diff_within_at 𝕜 n f s x) (hg : times_cont_diff_within_at 𝕜 n g s x) :
times_cont_diff_within_at 𝕜 n (λx, f x - g x) s x :=
by simpa only [sub_eq_add_neg] using hf.add hg.neg
/-- The difference of two `C^n` functions at a point is `C^n` at this point. -/
lemma times_cont_diff_at.sub {n : with_top ℕ} {f g : E → F}
(hf : times_cont_diff_at 𝕜 n f x) (hg : times_cont_diff_at 𝕜 n g x) :
times_cont_diff_at 𝕜 n (λx, f x - g x) x :=
by simpa only [sub_eq_add_neg] using hf.add hg.neg
/-- The difference of two `C^n` functions on a domain is `C^n`. -/
lemma times_cont_diff_on.sub {n : with_top ℕ} {s : set E} {f g : E → F}
(hf : times_cont_diff_on 𝕜 n f s) (hg : times_cont_diff_on 𝕜 n g s) :
times_cont_diff_on 𝕜 n (λx, f x - g x) s :=
by simpa only [sub_eq_add_neg] using hf.add hg.neg
/-- The difference of two `C^n` functions is `C^n`. -/
lemma times_cont_diff.sub {n : with_top ℕ} {f g : E → F}
(hf : times_cont_diff 𝕜 n f) (hg : times_cont_diff 𝕜 n g) : times_cont_diff 𝕜 n (λx, f x - g x) :=
by simpa only [sub_eq_add_neg] using hf.add hg.neg
/-! ### Sum of finitely many functions -/
lemma times_cont_diff_within_at.sum
{ι : Type*} {f : ι → E → F} {s : finset ι} {n : with_top ℕ} {t : set E} {x : E}
(h : ∀ i ∈ s, times_cont_diff_within_at 𝕜 n (λ x, f i x) t x) :
times_cont_diff_within_at 𝕜 n (λ x, (∑ i in s, f i x)) t x :=
begin
classical,
induction s using finset.induction_on with i s is IH,
{ simp [times_cont_diff_within_at_const] },
{ simp only [is, finset.sum_insert, not_false_iff],
exact (h _ (finset.mem_insert_self i s)).add (IH (λ j hj, h _ (finset.mem_insert_of_mem hj))) }
end
lemma times_cont_diff_at.sum
{ι : Type*} {f : ι → E → F} {s : finset ι} {n : with_top ℕ} {x : E}
(h : ∀ i ∈ s, times_cont_diff_at 𝕜 n (λ x, f i x) x) :
times_cont_diff_at 𝕜 n (λ x, (∑ i in s, f i x)) x :=
by rw [← times_cont_diff_within_at_univ] at *; exact times_cont_diff_within_at.sum h
lemma times_cont_diff_on.sum
{ι : Type*} {f : ι → E → F} {s : finset ι} {n : with_top ℕ} {t : set E}
(h : ∀ i ∈ s, times_cont_diff_on 𝕜 n (λ x, f i x) t) :
times_cont_diff_on 𝕜 n (λ x, (∑ i in s, f i x)) t :=
λ x hx, times_cont_diff_within_at.sum (λ i hi, h i hi x hx)
lemma times_cont_diff.sum
{ι : Type*} {f : ι → E → F} {s : finset ι} {n : with_top ℕ}
(h : ∀ i ∈ s, times_cont_diff 𝕜 n (λ x, f i x)) :
times_cont_diff 𝕜 n (λ x, (∑ i in s, f i x)) :=
by simp [← times_cont_diff_on_univ] at *; exact times_cont_diff_on.sum h
/-! ### Product of two functions -/
/- The product is smooth. -/
lemma times_cont_diff_mul {n : with_top ℕ} :
times_cont_diff 𝕜 n (λ p : 𝕜 × 𝕜, p.1 * p.2) :=
is_bounded_bilinear_map_mul.times_cont_diff
/-- The product of two `C^n` functions within a set at a point is `C^n` within this set
at this point. -/
lemma times_cont_diff_within_at.mul {n : with_top ℕ} {s : set E} {f g : E → 𝕜}
(hf : times_cont_diff_within_at 𝕜 n f s x) (hg : times_cont_diff_within_at 𝕜 n g s x) :
times_cont_diff_within_at 𝕜 n (λ x, f x * g x) s x :=
times_cont_diff_mul.times_cont_diff_within_at.comp x (hf.prod hg) subset_preimage_univ
/-- The product of two `C^n` functions at a point is `C^n` at this point. -/
lemma times_cont_diff_at.mul {n : with_top ℕ} {f g : E → 𝕜}
(hf : times_cont_diff_at 𝕜 n f x) (hg : times_cont_diff_at 𝕜 n g x) :
times_cont_diff_at 𝕜 n (λ x, f x * g x) x :=
by rw [← times_cont_diff_within_at_univ] at *; exact hf.mul hg
/-- The product of two `C^n` functions on a domain is `C^n`. -/
lemma times_cont_diff_on.mul {n : with_top ℕ} {s : set E} {f g : E → 𝕜}
(hf : times_cont_diff_on 𝕜 n f s) (hg : times_cont_diff_on 𝕜 n g s) :
times_cont_diff_on 𝕜 n (λ x, f x * g x) s :=
λ x hx, (hf x hx).mul (hg x hx)
/-- The product of two `C^n`functions is `C^n`. -/
lemma times_cont_diff.mul {n : with_top ℕ} {f g : E → 𝕜}
(hf : times_cont_diff 𝕜 n f) (hg : times_cont_diff 𝕜 n g) :
times_cont_diff 𝕜 n (λ x, f x * g x) :=
times_cont_diff_mul.comp (hf.prod hg)
lemma times_cont_diff_within_at.div_const {f : E → 𝕜} {n} {c : 𝕜}
(hf : times_cont_diff_within_at 𝕜 n f s x) :
times_cont_diff_within_at 𝕜 n (λ x, f x / c) s x :=
hf.mul times_cont_diff_within_at_const
lemma times_cont_diff_at.div_const {f : E → 𝕜} {n} {c : 𝕜} (hf : times_cont_diff_at 𝕜 n f x) :
times_cont_diff_at 𝕜 n (λ x, f x / c) x :=
hf.mul times_cont_diff_at_const
lemma times_cont_diff_on.div_const {f : E → 𝕜} {n} {c : 𝕜} (hf : times_cont_diff_on 𝕜 n f s) :
times_cont_diff_on 𝕜 n (λ x, f x / c) s :=
hf.mul times_cont_diff_on_const
lemma times_cont_diff.div_const {f : E → 𝕜} {n} {c : 𝕜} (hf : times_cont_diff 𝕜 n f) :
times_cont_diff 𝕜 n (λ x, f x / c) :=
hf.mul times_cont_diff_const
lemma times_cont_diff.pow {n : with_top ℕ} {f : E → 𝕜}
(hf : times_cont_diff 𝕜 n f) :
∀ m : ℕ, times_cont_diff 𝕜 n (λ x, (f x) ^ m)
| 0 := by simpa using times_cont_diff_const
| (m + 1) := hf.mul (times_cont_diff.pow m)
lemma times_cont_diff_at.pow {n : with_top ℕ} {f : E → 𝕜} (hf : times_cont_diff_at 𝕜 n f x)
(m : ℕ) : times_cont_diff_at 𝕜 n (λ y, f y ^ m) x :=
(times_cont_diff_id.pow m).times_cont_diff_at.comp x hf
lemma times_cont_diff_within_at.pow {n : with_top ℕ} {f : E → 𝕜}
(hf : times_cont_diff_within_at 𝕜 n f s x) (m : ℕ) :
times_cont_diff_within_at 𝕜 n (λ y, f y ^ m) s x :=
(times_cont_diff_id.pow m).times_cont_diff_at.comp_times_cont_diff_within_at x hf
lemma times_cont_diff_on.pow {n : with_top ℕ} {f : E → 𝕜}
(hf : times_cont_diff_on 𝕜 n f s) (m : ℕ) :
times_cont_diff_on 𝕜 n (λ y, f y ^ m) s :=
λ y hy, (hf y hy).pow m
/-! ### Scalar multiplication -/
/- The scalar multiplication is smooth. -/
lemma times_cont_diff_smul {n : with_top ℕ} :
times_cont_diff 𝕜 n (λ p : 𝕜 × F, p.1 • p.2) :=
is_bounded_bilinear_map_smul.times_cont_diff
/-- The scalar multiplication of two `C^n` functions within a set at a point is `C^n` within this
set at this point. -/
lemma times_cont_diff_within_at.smul {n : with_top ℕ} {s : set E} {f : E → 𝕜} {g : E → F}
(hf : times_cont_diff_within_at 𝕜 n f s x) (hg : times_cont_diff_within_at 𝕜 n g s x) :
times_cont_diff_within_at 𝕜 n (λ x, f x • g x) s x :=
times_cont_diff_smul.times_cont_diff_within_at.comp x (hf.prod hg) subset_preimage_univ
/-- The scalar multiplication of two `C^n` functions at a point is `C^n` at this point. -/
lemma times_cont_diff_at.smul {n : with_top ℕ} {f : E → 𝕜} {g : E → F}
(hf : times_cont_diff_at 𝕜 n f x) (hg : times_cont_diff_at 𝕜 n g x) :
times_cont_diff_at 𝕜 n (λ x, f x • g x) x :=
by rw [← times_cont_diff_within_at_univ] at *; exact hf.smul hg
/-- The scalar multiplication of two `C^n` functions is `C^n`. -/
lemma times_cont_diff.smul {n : with_top ℕ} {f : E → 𝕜} {g : E → F}
(hf : times_cont_diff 𝕜 n f) (hg : times_cont_diff 𝕜 n g) :
times_cont_diff 𝕜 n (λ x, f x • g x) :=
times_cont_diff_smul.comp (hf.prod hg)
/-- The scalar multiplication of two `C^n` functions on a domain is `C^n`. -/
lemma times_cont_diff_on.smul {n : with_top ℕ} {s : set E} {f : E → 𝕜} {g : E → F}
(hf : times_cont_diff_on 𝕜 n f s) (hg : times_cont_diff_on 𝕜 n g s) :
times_cont_diff_on 𝕜 n (λ x, f x • g x) s :=
λ x hx, (hf x hx).smul (hg x hx)
/-! ### Cartesian product of two functions-/
section prod_map
variables {E' : Type*} [normed_group E'] [normed_space 𝕜 E']
{F' : Type*} [normed_group F'] [normed_space 𝕜 F']
{n : with_top ℕ}
/-- The product map of two `C^n` functions within a set at a point is `C^n`
within the product set at the product point. -/
lemma times_cont_diff_within_at.prod_map'
{s : set E} {t : set E'} {f : E → F} {g : E' → F'} {p : E × E'}
(hf : times_cont_diff_within_at 𝕜 n f s p.1) (hg : times_cont_diff_within_at 𝕜 n g t p.2) :
times_cont_diff_within_at 𝕜 n (prod.map f g) (set.prod s t) p :=
(hf.comp p times_cont_diff_within_at_fst (prod_subset_preimage_fst _ _)).prod
(hg.comp p times_cont_diff_within_at_snd (prod_subset_preimage_snd _ _))
lemma times_cont_diff_within_at.prod_map
{s : set E} {t : set E'} {f : E → F} {g : E' → F'} {x : E} {y : E'}
(hf : times_cont_diff_within_at 𝕜 n f s x) (hg : times_cont_diff_within_at 𝕜 n g t y) :
times_cont_diff_within_at 𝕜 n (prod.map f g) (set.prod s t) (x, y) :=
times_cont_diff_within_at.prod_map' hf hg
/-- The product map of two `C^n` functions on a set is `C^n` on the product set. -/
lemma times_cont_diff_on.prod_map {E' : Type*} [normed_group E'] [normed_space 𝕜 E']
{F' : Type*} [normed_group F'] [normed_space 𝕜 F']
{s : set E} {t : set E'} {n : with_top ℕ} {f : E → F} {g : E' → F'}
(hf : times_cont_diff_on 𝕜 n f s) (hg : times_cont_diff_on 𝕜 n g t) :
times_cont_diff_on 𝕜 n (prod.map f g) (set.prod s t) :=
(hf.comp times_cont_diff_on_fst (prod_subset_preimage_fst _ _)).prod
(hg.comp (times_cont_diff_on_snd) (prod_subset_preimage_snd _ _))
/-- The product map of two `C^n` functions within a set at a point is `C^n`
within the product set at the product point. -/
lemma times_cont_diff_at.prod_map {f : E → F} {g : E' → F'} {x : E} {y : E'}
(hf : times_cont_diff_at 𝕜 n f x) (hg : times_cont_diff_at 𝕜 n g y) :
times_cont_diff_at 𝕜 n (prod.map f g) (x, y) :=
begin
rw times_cont_diff_at at *,
convert hf.prod_map hg,
simp only [univ_prod_univ]
end
/-- The product map of two `C^n` functions within a set at a point is `C^n`
within the product set at the product point. -/
lemma times_cont_diff_at.prod_map' {f : E → F} {g : E' → F'} {p : E × E'}
(hf : times_cont_diff_at 𝕜 n f p.1) (hg : times_cont_diff_at 𝕜 n g p.2) :
times_cont_diff_at 𝕜 n (prod.map f g) p :=
begin
rcases p,
exact times_cont_diff_at.prod_map hf hg
end
/-- The product map of two `C^n` functions is `C^n`. -/
lemma times_cont_diff.prod_map
{f : E → F} {g : E' → F'}
(hf : times_cont_diff 𝕜 n f) (hg : times_cont_diff 𝕜 n g) :
times_cont_diff 𝕜 n (prod.map f g) :=
begin
rw times_cont_diff_iff_times_cont_diff_at at *,
exact λ ⟨x, y⟩, (hf x).prod_map (hg y)
end
end prod_map
/-! ### Inversion in a complete normed algebra -/
section algebra_inverse
variables (𝕜) {R : Type*} [normed_ring R] [normed_algebra 𝕜 R]
open normed_ring continuous_linear_map ring
/-- In a complete normed algebra, the operation of inversion is `C^n`, for all `n`, at each
invertible element. The proof is by induction, bootstrapping using an identity expressing the
derivative of inversion as a bilinear map of inversion itself. -/
lemma times_cont_diff_at_ring_inverse [complete_space R] {n : with_top ℕ} (x : units R) :
times_cont_diff_at 𝕜 n ring.inverse (x : R) :=
begin
induction n using with_top.nat_induction with n IH Itop,
{ intros m hm,
refine ⟨{y : R | is_unit y}, _, _⟩,
{ simp [nhds_within_univ],
exact x.nhds },
{ use (ftaylor_series_within 𝕜 inverse univ),
rw [le_antisymm hm bot_le, has_ftaylor_series_up_to_on_zero_iff],
split,
{ rintros _ ⟨x', rfl⟩,
exact (inverse_continuous_at x').continuous_within_at },
{ simp [ftaylor_series_within] } } },
{ apply times_cont_diff_at_succ_iff_has_fderiv_at.mpr,
refine ⟨λ (x : R), - lmul_left_right 𝕜 R (inverse x) (inverse x), _, _⟩,
{ refine ⟨{y : R | is_unit y}, x.nhds, _⟩,
rintros _ ⟨y, rfl⟩,
rw [inverse_unit],
exact has_fderiv_at_ring_inverse y },
{ convert (lmul_left_right_is_bounded_bilinear 𝕜 R).times_cont_diff.neg.comp_times_cont_diff_at
(x : R) (IH.prod IH) } },
{ exact times_cont_diff_at_top.mpr Itop }
end
variables (𝕜) {𝕜' : Type*} [normed_field 𝕜'] [normed_algebra 𝕜 𝕜'] [complete_space 𝕜']
lemma times_cont_diff_at_inv {x : 𝕜'} (hx : x ≠ 0) {n} :
times_cont_diff_at 𝕜 n has_inv.inv x :=
by simpa only [inverse_eq_has_inv] using times_cont_diff_at_ring_inverse 𝕜 (units.mk0 x hx)
lemma times_cont_diff_on_inv {n} : times_cont_diff_on 𝕜 n (has_inv.inv : 𝕜' → 𝕜') {0}ᶜ :=
λ x hx, (times_cont_diff_at_inv 𝕜 hx).times_cont_diff_within_at
variable {𝕜}
-- TODO: the next few lemmas don't need `𝕜` or `𝕜'` to be complete
-- A good way to show this is to generalize `times_cont_diff_at_ring_inverse` to the setting
-- of a function `f` such that `∀ᶠ x in 𝓝 a, x * f x = 1`.
lemma times_cont_diff_within_at.inv {f : E → 𝕜'} {n} (hf : times_cont_diff_within_at 𝕜 n f s x)
(hx : f x ≠ 0) :
times_cont_diff_within_at 𝕜 n (λ x, (f x)⁻¹) s x :=
(times_cont_diff_at_inv 𝕜 hx).comp_times_cont_diff_within_at x hf
lemma times_cont_diff_on.inv {f : E → 𝕜'} {n} (hf : times_cont_diff_on 𝕜 n f s)
(h : ∀ x ∈ s, f x ≠ 0) :
times_cont_diff_on 𝕜 n (λ x, (f x)⁻¹) s :=
λ x hx, (hf.times_cont_diff_within_at hx).inv (h x hx)
lemma times_cont_diff_at.inv {f : E → 𝕜'} {n} (hf : times_cont_diff_at 𝕜 n f x) (hx : f x ≠ 0) :
times_cont_diff_at 𝕜 n (λ x, (f x)⁻¹) x :=
hf.inv hx
lemma times_cont_diff.inv {f : E → 𝕜'} {n} (hf : times_cont_diff 𝕜 n f) (h : ∀ x, f x ≠ 0) :
times_cont_diff 𝕜 n (λ x, (f x)⁻¹) :=
by { rw times_cont_diff_iff_times_cont_diff_at, exact λ x, hf.times_cont_diff_at.inv (h x) }
-- TODO: generalize to `f g : E → 𝕜'`
lemma times_cont_diff_within_at.div [complete_space 𝕜] {f g : E → 𝕜} {n}
(hf : times_cont_diff_within_at 𝕜 n f s x) (hg : times_cont_diff_within_at 𝕜 n g s x)
(hx : g x ≠ 0) :
times_cont_diff_within_at 𝕜 n (λ x, f x / g x) s x :=
hf.mul (hg.inv hx)
lemma times_cont_diff_on.div [complete_space 𝕜] {f g : E → 𝕜} {n}
(hf : times_cont_diff_on 𝕜 n f s) (hg : times_cont_diff_on 𝕜 n g s) (h₀ : ∀ x ∈ s, g x ≠ 0) :
times_cont_diff_on 𝕜 n (f / g) s :=
λ x hx, (hf x hx).div (hg x hx) (h₀ x hx)
lemma times_cont_diff_at.div [complete_space 𝕜] {f g : E → 𝕜} {n}
(hf : times_cont_diff_at 𝕜 n f x) (hg : times_cont_diff_at 𝕜 n g x)
(hx : g x ≠ 0) :
times_cont_diff_at 𝕜 n (λ x, f x / g x) x :=
hf.div hg hx
lemma times_cont_diff.div [complete_space 𝕜] {f g : E → 𝕜} {n}
(hf : times_cont_diff 𝕜 n f) (hg : times_cont_diff 𝕜 n g)
(h0 : ∀ x, g x ≠ 0) :
times_cont_diff 𝕜 n (λ x, f x / g x) :=
begin
simp only [times_cont_diff_iff_times_cont_diff_at] at *,
exact λ x, (hf x).div (hg x) (h0 x)
end
end algebra_inverse
/-! ### Inversion of continuous linear maps between Banach spaces -/
section map_inverse
open continuous_linear_map
/-- At a continuous linear equivalence `e : E ≃L[𝕜] F` between Banach spaces, the operation of
inversion is `C^n`, for all `n`. -/
lemma times_cont_diff_at_map_inverse [complete_space E] {n : with_top ℕ} (e : E ≃L[𝕜] F) :
times_cont_diff_at 𝕜 n inverse (e : E →L[𝕜] F) :=
begin
nontriviality E,
-- first, we use the lemma `to_ring_inverse` to rewrite in terms of `ring.inverse` in the ring
-- `E →L[𝕜] E`
let O₁ : (E →L[𝕜] E) → (F →L[𝕜] E) := λ f, f.comp (e.symm : (F →L[𝕜] E)),
let O₂ : (E →L[𝕜] F) → (E →L[𝕜] E) := λ f, (e.symm : (F →L[𝕜] E)).comp f,
have : continuous_linear_map.inverse = O₁ ∘ ring.inverse ∘ O₂ :=
funext (to_ring_inverse e),
rw this,
-- `O₁` and `O₂` are `times_cont_diff`, so we reduce to proving that `ring.inverse` is `times_cont_diff`
have h₁ : times_cont_diff 𝕜 n O₁,
from is_bounded_bilinear_map_comp.times_cont_diff.comp
(times_cont_diff_const.prod times_cont_diff_id),
have h₂ : times_cont_diff 𝕜 n O₂,
from is_bounded_bilinear_map_comp.times_cont_diff.comp
(times_cont_diff_id.prod times_cont_diff_const),
refine h₁.times_cont_diff_at.comp _ (times_cont_diff_at.comp _ _ h₂.times_cont_diff_at),
convert times_cont_diff_at_ring_inverse 𝕜 (1 : units (E →L[𝕜] E)),
simp [O₂, one_def]
end
end map_inverse
section function_inverse
open continuous_linear_map
/-- If `f` is a local homeomorphism and the point `a` is in its target, and if `f` is `n` times
continuously differentiable at `f.symm a`, and if the derivative at `f.symm a` is a continuous linear
equivalence, then `f.symm` is `n` times continuously differentiable at the point `a`.
This is one of the easy parts of the inverse function theorem: it assumes that we already have
an inverse function. -/
theorem local_homeomorph.times_cont_diff_at_symm [complete_space E] {n : with_top ℕ}
(f : local_homeomorph E F) {f₀' : E ≃L[𝕜] F} {a : F} (ha : a ∈ f.target)
(hf₀' : has_fderiv_at f (f₀' : E →L[𝕜] F) (f.symm a)) (hf : times_cont_diff_at 𝕜 n f (f.symm a)) :
times_cont_diff_at 𝕜 n f.symm a :=
begin
-- We prove this by induction on `n`
induction n using with_top.nat_induction with n IH Itop,
{ rw times_cont_diff_at_zero,
exact ⟨f.target, mem_nhds_sets f.open_target ha, f.continuous_inv_fun⟩ },
{ obtain ⟨f', ⟨u, hu, hff'⟩, hf'⟩ := times_cont_diff_at_succ_iff_has_fderiv_at.mp hf,
apply times_cont_diff_at_succ_iff_has_fderiv_at.mpr,
-- For showing `n.succ` times continuous differentiability (the main inductive step), it
-- suffices to produce the derivative and show that it is `n` times continuously differentiable
have eq_f₀' : f' (f.symm a) = f₀',
{ exact (hff' (f.symm a) (mem_of_nhds hu)).unique hf₀' },
-- This follows by a bootstrapping formula expressing the derivative as a function of `f` itself
refine ⟨inverse ∘ f' ∘ f.symm, _, _⟩,
{ -- We first check that the derivative of `f` is that formula
have h_nhds : {y : E | ∃ (e : E ≃L[𝕜] F), ↑e = f' y} ∈ 𝓝 ((f.symm) a),
{ have hf₀' := f₀'.nhds,
rw ← eq_f₀' at hf₀',
exact hf'.continuous_at.preimage_mem_nhds hf₀' },
obtain ⟨t, htu, ht, htf⟩ := mem_nhds_sets_iff.mp (filter.inter_mem_sets hu h_nhds),
use f.target ∩ (f.symm) ⁻¹' t,
refine ⟨mem_nhds_sets _ _, _⟩,
{ exact f.preimage_open_of_open_symm ht },
{ exact mem_inter ha (mem_preimage.mpr htf) },
intros x hx,
obtain ⟨hxu, e, he⟩ := htu hx.2,
have h_deriv : has_fderiv_at f ↑e ((f.symm) x),
{ rw he,
exact hff' (f.symm x) hxu },
convert f.has_fderiv_at_symm hx.1 h_deriv,
simp [← he] },
{ -- Then we check that the formula, being a composition of `times_cont_diff` pieces, is
-- itself `times_cont_diff`
have h_deriv₁ : times_cont_diff_at 𝕜 n inverse (f' (f.symm a)),
{ rw eq_f₀',
exact times_cont_diff_at_map_inverse _ },
have h_deriv₂ : times_cont_diff_at 𝕜 n f.symm a,
{ refine IH (hf.of_le _),
norm_cast,
exact nat.le_succ n },
exact (h_deriv₁.comp _ hf').comp _ h_deriv₂ } },
{ refine times_cont_diff_at_top.mpr _,
intros n,
exact Itop n (times_cont_diff_at_top.mp hf n) }
end
/-- Let `f` be a local homeomorphism of a nondiscrete normed field, let `a` be a point in its
target. if `f` is `n` times continuously differentiable at `f.symm a`, and if the derivative at
`f.symm a` is nonzero, then `f.symm` is `n` times continuously differentiable at the point `a`.
This is one of the easy parts of the inverse function theorem: it assumes that we already have
an inverse function. -/
theorem local_homeomorph.times_cont_diff_at_symm_deriv [complete_space 𝕜] {n : with_top ℕ}
(f : local_homeomorph 𝕜 𝕜) {f₀' a : 𝕜} (h₀ : f₀' ≠ 0) (ha : a ∈ f.target)
(hf₀' : has_deriv_at f f₀' (f.symm a)) (hf : times_cont_diff_at 𝕜 n f (f.symm a)) :
times_cont_diff_at 𝕜 n f.symm a :=
f.times_cont_diff_at_symm ha (hf₀'.has_fderiv_at_equiv h₀) hf
end function_inverse
section real
/-!
### Results over `ℝ` or `ℂ`
The results in this section rely on the Mean Value Theorem, and therefore hold only over `ℝ` (and
its extension fields such as `ℂ`).
-/
variables
{𝕂 : Type*} [is_R_or_C 𝕂]
{E' : Type*} [normed_group E'] [normed_space 𝕂 E']
{F' : Type*} [normed_group F'] [normed_space 𝕂 F']
/-- If a function has a Taylor series at order at least 1, then at points in the interior of the
domain of definition, the term of order 1 of this series is a strict derivative of `f`. -/
lemma has_ftaylor_series_up_to_on.has_strict_fderiv_at
{s : set E'} {f : E' → F'} {x : E'} {p : E' → formal_multilinear_series 𝕂 E' F'} {n : with_top ℕ}
(hf : has_ftaylor_series_up_to_on n f p s) (hn : 1 ≤ n) (hs : s ∈ 𝓝 x) :
has_strict_fderiv_at f ((continuous_multilinear_curry_fin1 𝕂 E' F') (p x 1)) x :=
has_strict_fderiv_at_of_has_fderiv_at_of_continuous_at (hf.eventually_has_fderiv_at hn hs) $
(continuous_multilinear_curry_fin1 𝕂 E' F').continuous_at.comp $
(hf.cont 1 hn).continuous_at hs
/-- If a function is `C^n` with `1 ≤ n` around a point, and its derivative at that point is given to
us as `f'`, then `f'` is also a strict derivative. -/
lemma times_cont_diff_at.has_strict_fderiv_at'
{f : E' → F'} {f' : E' →L[𝕂] F'} {x : E'}
{n : with_top ℕ} (hf : times_cont_diff_at 𝕂 n f x) (hf' : has_fderiv_at f f' x) (hn : 1 ≤ n) :
has_strict_fderiv_at f f' x :=
begin
rcases hf 1 hn with ⟨u, H, p, hp⟩,
simp only [nhds_within_univ, mem_univ, insert_eq_of_mem] at H,
have := hp.has_strict_fderiv_at le_rfl H,
rwa hf'.unique this.has_fderiv_at
end
/-- If a function is `C^n` with `1 ≤ n` around a point, and its derivative at that point is given to
us as `f'`, then `f'` is also a strict derivative. -/
lemma times_cont_diff_at.has_strict_deriv_at' {f : 𝕂 → F'} {f' : F'} {x : 𝕂}
{n : with_top ℕ} (hf : times_cont_diff_at 𝕂 n f x) (hf' : has_deriv_at f f' x) (hn : 1 ≤ n) :
has_strict_deriv_at f f' x :=
hf.has_strict_fderiv_at' hf' hn
/-- If a function is `C^n` with `1 ≤ n` around a point, then the derivative of `f` at this point
is also a strict derivative. -/
lemma times_cont_diff_at.has_strict_fderiv_at {f : E' → F'} {x : E'} {n : with_top ℕ}
(hf : times_cont_diff_at 𝕂 n f x) (hn : 1 ≤ n) :
has_strict_fderiv_at f (fderiv 𝕂 f x) x :=
hf.has_strict_fderiv_at' (hf.differentiable_at hn).has_fderiv_at hn
/-- If a function is `C^n` with `1 ≤ n` around a point, then the derivative of `f` at this point
is also a strict derivative. -/
lemma times_cont_diff_at.has_strict_deriv_at {f : 𝕂 → F'} {x : 𝕂} {n : with_top ℕ}
(hf : times_cont_diff_at 𝕂 n f x) (hn : 1 ≤ n) :
has_strict_deriv_at f (deriv f x) x :=
(hf.has_strict_fderiv_at hn).has_strict_deriv_at
/-- If a function is `C^n` with `1 ≤ n`, then the derivative of `f` is also a strict derivative. -/
lemma times_cont_diff.has_strict_fderiv_at
{f : E' → F'} {x : E'} {n : with_top ℕ} (hf : times_cont_diff 𝕂 n f) (hn : 1 ≤ n) :
has_strict_fderiv_at f (fderiv 𝕂 f x) x :=
hf.times_cont_diff_at.has_strict_fderiv_at hn
/-- If a function is `C^n` with `1 ≤ n`, then the derivative of `f` is also a strict derivative. -/
lemma times_cont_diff.has_strict_deriv_at
{f : 𝕂 → F'} {x : 𝕂} {n : with_top ℕ} (hf : times_cont_diff 𝕂 n f) (hn : 1 ≤ n) :
has_strict_deriv_at f (deriv f x) x :=
hf.times_cont_diff_at.has_strict_deriv_at hn
end real
section deriv
/-!
### One dimension
All results up to now have been expressed in terms of the general Fréchet derivative `fderiv`. For
maps defined on the field, the one-dimensional derivative `deriv` is often easier to use. In this
paragraph, we reformulate some higher smoothness results in terms of `deriv`.
-/
variables {f₂ : 𝕜 → F} {s₂ : set 𝕜}
open continuous_linear_map (smul_right)
/-- A function is `C^(n + 1)` on a domain with unique derivatives if and only if it is
differentiable there, and its derivative (formulated with `deriv_within`) is `C^n`. -/
theorem times_cont_diff_on_succ_iff_deriv_within {n : ℕ} (hs : unique_diff_on 𝕜 s₂) :
times_cont_diff_on 𝕜 ((n + 1) : ℕ) f₂ s₂ ↔
differentiable_on 𝕜 f₂ s₂ ∧ times_cont_diff_on 𝕜 n (deriv_within f₂ s₂) s₂ :=
begin
rw times_cont_diff_on_succ_iff_fderiv_within hs,
congr' 2,
apply le_antisymm,
{ assume h,
have : deriv_within f₂ s₂ = (λ u : 𝕜 →L[𝕜] F, u 1) ∘ (fderiv_within 𝕜 f₂ s₂),
by { ext x, refl },
simp only [this],
apply times_cont_diff.comp_times_cont_diff_on _ h,
exact (is_bounded_bilinear_map_apply.is_bounded_linear_map_left _).times_cont_diff },
{ assume h,
have : fderiv_within 𝕜 f₂ s₂ = smul_right (1 : 𝕜 →L[𝕜] 𝕜) ∘ deriv_within f₂ s₂,
by { ext x, simp [deriv_within] },
simp only [this],
apply times_cont_diff.comp_times_cont_diff_on _ h,
exact (is_bounded_bilinear_map_smul_right.is_bounded_linear_map_right _).times_cont_diff }
end
/-- A function is `C^(n + 1)` on an open domain if and only if it is
differentiable there, and its derivative (formulated with `deriv`) is `C^n`. -/
theorem times_cont_diff_on_succ_iff_deriv_of_open {n : ℕ} (hs : is_open s₂) :
times_cont_diff_on 𝕜 ((n + 1) : ℕ) f₂ s₂ ↔
differentiable_on 𝕜 f₂ s₂ ∧ times_cont_diff_on 𝕜 n (deriv f₂) s₂ :=
begin
rw times_cont_diff_on_succ_iff_deriv_within hs.unique_diff_on,
congr' 2,
rw ← iff_iff_eq,
apply times_cont_diff_on_congr,
assume x hx,
exact deriv_within_of_open hs hx
end
/-- A function is `C^∞` on a domain with unique derivatives if and only if it is differentiable
there, and its derivative (formulated with `deriv_within`) is `C^∞`. -/
theorem times_cont_diff_on_top_iff_deriv_within (hs : unique_diff_on 𝕜 s₂) :
times_cont_diff_on 𝕜 ∞ f₂ s₂ ↔
differentiable_on 𝕜 f₂ s₂ ∧ times_cont_diff_on 𝕜 ∞ (deriv_within f₂ s₂) s₂ :=
begin
split,
{ assume h,
refine ⟨h.differentiable_on le_top, _⟩,
apply times_cont_diff_on_top.2 (λ n, ((times_cont_diff_on_succ_iff_deriv_within hs).1 _).2),
exact h.of_le le_top },
{ assume h,
refine times_cont_diff_on_top.2 (λ n, _),
have A : (n : with_top ℕ) ≤ ∞ := le_top,
apply ((times_cont_diff_on_succ_iff_deriv_within hs).2 ⟨h.1, h.2.of_le A⟩).of_le,
exact with_top.coe_le_coe.2 (nat.le_succ n) }
end
/-- A function is `C^∞` on an open domain if and only if it is differentiable
there, and its derivative (formulated with `deriv`) is `C^∞`. -/
theorem times_cont_diff_on_top_iff_deriv_of_open (hs : is_open s₂) :
times_cont_diff_on 𝕜 ∞ f₂ s₂ ↔
differentiable_on 𝕜 f₂ s₂ ∧ times_cont_diff_on 𝕜 ∞ (deriv f₂) s₂ :=
begin
rw times_cont_diff_on_top_iff_deriv_within hs.unique_diff_on,
congr' 2,
rw ← iff_iff_eq,
apply times_cont_diff_on_congr,
assume x hx,
exact deriv_within_of_open hs hx
end
lemma times_cont_diff_on.deriv_within {m n : with_top ℕ}
(hf : times_cont_diff_on 𝕜 n f₂ s₂) (hs : unique_diff_on 𝕜 s₂) (hmn : m + 1 ≤ n) :
times_cont_diff_on 𝕜 m (deriv_within f₂ s₂) s₂ :=
begin
cases m,
{ change ∞ + 1 ≤ n at hmn,
have : n = ∞, by simpa using hmn,
rw this at hf,
exact ((times_cont_diff_on_top_iff_deriv_within hs).1 hf).2 },
{ change (m.succ : with_top ℕ) ≤ n at hmn,
exact ((times_cont_diff_on_succ_iff_deriv_within hs).1 (hf.of_le hmn)).2 }
end
lemma times_cont_diff_on.deriv_of_open {m n : with_top ℕ}
(hf : times_cont_diff_on 𝕜 n f₂ s₂) (hs : is_open s₂) (hmn : m + 1 ≤ n) :
times_cont_diff_on 𝕜 m (deriv f₂) s₂ :=
(hf.deriv_within hs.unique_diff_on hmn).congr (λ x hx, (deriv_within_of_open hs hx).symm)
lemma times_cont_diff_on.continuous_on_deriv_within {n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f₂ s₂) (hs : unique_diff_on 𝕜 s₂) (hn : 1 ≤ n) :
continuous_on (deriv_within f₂ s₂) s₂ :=
((times_cont_diff_on_succ_iff_deriv_within hs).1 (h.of_le hn)).2.continuous_on
lemma times_cont_diff_on.continuous_on_deriv_of_open {n : with_top ℕ}
(h : times_cont_diff_on 𝕜 n f₂ s₂) (hs : is_open s₂) (hn : 1 ≤ n) :
continuous_on (deriv f₂) s₂ :=
((times_cont_diff_on_succ_iff_deriv_of_open hs).1 (h.of_le hn)).2.continuous_on
/-- A function is `C^(n + 1)` on a domain with unique derivatives if and only if it is
differentiable there, and its derivative is `C^n`. -/
theorem times_cont_diff_succ_iff_deriv {n : ℕ} :
times_cont_diff 𝕜 ((n + 1) : ℕ) f₂ ↔
differentiable 𝕜 f₂ ∧ times_cont_diff 𝕜 n (deriv f₂) :=
by simp only [← times_cont_diff_on_univ, times_cont_diff_on_succ_iff_deriv_of_open, is_open_univ,
differentiable_on_univ]
end deriv
section restrict_scalars
/-!
### Restricting from `ℂ` to `ℝ`, or generally from `𝕜'` to `𝕜`
If a function is `n` times continuously differentiable over `ℂ`, then it is `n` times continuously
differentiable over `ℝ`. In this paragraph, we give variants of this statement, in the general
situation where `ℂ` and `ℝ` are replaced respectively by `𝕜'` and `𝕜` where `𝕜'` is a normed algebra
over `𝕜`.
-/
variables (𝕜) {𝕜' : Type*} [nondiscrete_normed_field 𝕜'] [normed_algebra 𝕜 𝕜']
variables [normed_space 𝕜' E] [is_scalar_tower 𝕜 𝕜' E]
variables [normed_space 𝕜' F] [is_scalar_tower 𝕜 𝕜' F]
variables {p' : E → formal_multilinear_series 𝕜' E F} {n : with_top ℕ}
lemma has_ftaylor_series_up_to_on.restrict_scalars
(h : has_ftaylor_series_up_to_on n f p' s) :
has_ftaylor_series_up_to_on n f (λ x, (p' x).restrict_scalars 𝕜) s :=
{ zero_eq := λ x hx, h.zero_eq x hx,
fderiv_within :=
begin
intros m hm x hx,
convert ((continuous_multilinear_map.restrict_scalars_linear 𝕜).has_fderiv_at)
.comp_has_fderiv_within_at _ ((h.fderiv_within m hm x hx).restrict_scalars 𝕜),
end,
cont := λ m hm, continuous_multilinear_map.continuous_restrict_scalars.comp_continuous_on
(h.cont m hm) }
lemma times_cont_diff_within_at.restrict_scalars (h : times_cont_diff_within_at 𝕜' n f s x) :
times_cont_diff_within_at 𝕜 n f s x :=
begin
intros m hm,
rcases h m hm with ⟨u, u_mem, p', hp'⟩,
exact ⟨u, u_mem, _, hp'.restrict_scalars _⟩
end
lemma times_cont_diff_on.restrict_scalars (h : times_cont_diff_on 𝕜' n f s) :
times_cont_diff_on 𝕜 n f s :=
λ x hx, (h x hx).restrict_scalars _
lemma times_cont_diff_at.restrict_scalars (h : times_cont_diff_at 𝕜' n f x) :
times_cont_diff_at 𝕜 n f x :=
times_cont_diff_within_at_univ.1 $ h.times_cont_diff_within_at.restrict_scalars _
lemma times_cont_diff.restrict_scalars (h : times_cont_diff 𝕜' n f) :
times_cont_diff 𝕜 n f :=
times_cont_diff_iff_times_cont_diff_at.2 $ λ x, h.times_cont_diff_at.restrict_scalars _
end restrict_scalars
|
d19010cf2bc04400b718eb165e3bda7b9b427947 | d9d511f37a523cd7659d6f573f990e2a0af93c6f | /src/analysis/normed_space/exponential.lean | 5a1afca3c5990973c302755afc40e0d8423c0e0a | [
"Apache-2.0"
] | permissive | hikari0108/mathlib | b7ea2b7350497ab1a0b87a09d093ecc025a50dfa | a9e7d333b0cfd45f13a20f7b96b7d52e19fa2901 | refs/heads/master | 1,690,483,608,260 | 1,631,541,580,000 | 1,631,541,580,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 27,774 | lean | /-
Copyright (c) 2021 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import algebra.char_p.algebra
import analysis.calculus.deriv
import analysis.specific_limits
import data.complex.exponential
import analysis.complex.basic
import topology.metric_space.cau_seq_filter
/-!
# Exponential in a Banach algebra
In this file, we define `exp 𝕂 𝔸`, the exponential map in a normed algebra `𝔸` over a nondiscrete
normed field `𝕂`. Although the definition doesn't require `𝔸` to be complete, we need to assume it
for most results.
We then prove basic results, as described below.
## Main result
We prove most result for an arbitrary field `𝕂`, and then specialize to `𝕂 = ℝ` or `𝕂 = ℂ`.
### General case
- `has_strict_fderiv_at_exp_zero_of_radius_pos` : `exp 𝕂 𝔸` has strict Fréchet-derivative
`1 : 𝔸 →L[𝕂] 𝔸` at zero, as long as it converges on a neighborhood of zero
(see also `has_strict_deriv_at_exp_zero_of_radius_pos` for the case `𝔸 = 𝕂`)
- `exp_add_of_commute_of_lt_radius` : if `𝕂` has characteristic zero, then given two commuting
elements `x` and `y` in the disk of convergence, we have
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`
- `exp_add_of_lt_radius` : if `𝕂` has characteristic zero and `𝔸` is commutative, then given two
elements `x` and `y` in the disk of convergence, we have
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`
- `has_strict_fderiv_at_exp_of_lt_radius` : if `𝕂` has characteristic zero and `𝔸` is commutative,
then given a point `x` in the disk of convergence, `exp 𝕂 𝔸` as strict Fréchet-derivative
`exp 𝕂 𝔸 x • 1 : 𝔸 →L[𝕂] 𝔸` at x (see also `has_strict_deriv_at_exp_of_lt_radius` for the case
`𝔸 = 𝕂`)
### `𝕂 = ℝ` or `𝕂 = ℂ`
- `exp_series_radius_eq_top` : the `formal_multilinear_series` defining `exp 𝕂 𝔸` has infinite
radius of convergence
- `has_strict_fderiv_at_exp_zero` : `exp 𝕂 𝔸` has strict Fréchet-derivative `1 : 𝔸 →L[𝕂] 𝔸` at zero
(see also `has_strict_deriv_at_exp_zero` for the case `𝔸 = 𝕂`)
- `exp_add_of_commute` : given two commuting elements `x` and `y`, we have
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`
- `exp_add` : if `𝔸` is commutative, then we have `exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`
for any `x` and `y`
- `has_strict_fderiv_at_exp` : if `𝔸` is commutative, then given any point `x`, `exp 𝕂 𝔸` as strict
Fréchet-derivative `exp 𝕂 𝔸 x • 1 : 𝔸 →L[𝕂] 𝔸` at x (see also `has_strict_deriv_at_exp` for the
case `𝔸 = 𝕂`)
### Other useful compatibility results
- `exp_eq_exp_of_field_extension` : given `𝕂' / 𝕂` a normed field extension (that is, an instance
of `normed_algebra 𝕂 𝕂'`) and a normed algebra `𝔸` over both `𝕂` and `𝕂'` then
`exp 𝕂 𝔸 = exp 𝕂' 𝔸`
- `complex.exp_eq_exp_ℂ_ℂ` : `complex.exp = exp ℂ ℂ`
- `real.exp_eq_exp_ℝ_ℝ` : `real.exp = exp ℝ ℝ`
-/
open filter is_R_or_C continuous_multilinear_map normed_field asymptotics
open_locale nat topological_space big_operators ennreal
section any_field_any_algebra
variables (𝕂 𝔸 : Type*) [nondiscrete_normed_field 𝕂] [normed_ring 𝔸] [normed_algebra 𝕂 𝔸]
/-- In a Banach algebra `𝔸` over a normed field `𝕂`, `exp_series 𝕂 𝔸` is the
`formal_multilinear_series` whose `n`-th term is the map `(xᵢ) : 𝔸ⁿ ↦ (1/n! : 𝕂) • ∏ xᵢ`.
Its sum is the exponential map `exp 𝕂 𝔸 : 𝔸 → 𝔸`. -/
def exp_series : formal_multilinear_series 𝕂 𝔸 𝔸 :=
λ n, (1/n! : 𝕂) • continuous_multilinear_map.mk_pi_algebra_fin 𝕂 n 𝔸
/-- In a Banach algebra `𝔸` over a normed field `𝕂`, `exp 𝕂 𝔸 : 𝔸 → 𝔸` is the exponential map
determined by the action of `𝕂` on `𝔸`.
It is defined as the sum of the `formal_multilinear_series` `exp_series 𝕂 𝔸`. -/
noncomputable def exp (x : 𝔸) : 𝔸 := (exp_series 𝕂 𝔸).sum x
variables {𝕂 𝔸}
lemma exp_series_apply_eq (x : 𝔸) (n : ℕ) : exp_series 𝕂 𝔸 n (λ _, x) = (1 / n! : 𝕂) • x^n :=
by simp [exp_series]
lemma exp_series_apply_eq' (x : 𝔸) :
(λ n, exp_series 𝕂 𝔸 n (λ _, x)) = (λ n, (1 / n! : 𝕂) • x^n) :=
funext (exp_series_apply_eq x)
lemma exp_series_apply_eq_field (x : 𝕂) (n : ℕ) : exp_series 𝕂 𝕂 n (λ _, x) = x^n / n! :=
begin
rw [div_eq_inv_mul, ←smul_eq_mul, inv_eq_one_div],
exact exp_series_apply_eq x n,
end
lemma exp_series_apply_eq_field' (x : 𝕂) : (λ n, exp_series 𝕂 𝕂 n (λ _, x)) = (λ n, x^n / n!) :=
funext (exp_series_apply_eq_field x)
lemma exp_series_sum_eq (x : 𝔸) : (exp_series 𝕂 𝔸).sum x = ∑' (n : ℕ), (1 / n! : 𝕂) • x^n :=
tsum_congr (λ n, exp_series_apply_eq x n)
lemma exp_series_sum_eq_field (x : 𝕂) : (exp_series 𝕂 𝕂).sum x = ∑' (n : ℕ), x^n / n! :=
tsum_congr (λ n, exp_series_apply_eq_field x n)
lemma exp_eq_tsum : exp 𝕂 𝔸 = (λ x : 𝔸, ∑' (n : ℕ), (1 / n! : 𝕂) • x^n) :=
funext exp_series_sum_eq
lemma exp_eq_tsum_field : exp 𝕂 𝕂 = (λ x : 𝕂, ∑' (n : ℕ), x^n / n!) :=
funext exp_series_sum_eq_field
lemma exp_zero : exp 𝕂 𝔸 0 = 1 :=
begin
suffices : (λ x : 𝔸, ∑' (n : ℕ), (1 / n! : 𝕂) • x^n) 0 = ∑' (n : ℕ), if n = 0 then 1 else 0,
{ have key : ∀ n ∉ ({0} : finset ℕ), (if n = 0 then (1 : 𝔸) else 0) = 0,
from λ n hn, if_neg (finset.not_mem_singleton.mp hn),
rw [exp_eq_tsum, this, tsum_eq_sum key, finset.sum_singleton],
simp },
refine tsum_congr (λ n, _),
split_ifs with h h;
simp [h]
end
lemma norm_exp_series_summable_of_mem_ball (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
summable (λ n, ∥exp_series 𝕂 𝔸 n (λ _, x)∥) :=
(exp_series 𝕂 𝔸).summable_norm_apply hx
lemma norm_exp_series_summable_of_mem_ball' (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
summable (λ n, ∥(1 / n! : 𝕂) • x^n∥) :=
begin
change summable (norm ∘ _),
rw ← exp_series_apply_eq',
exact norm_exp_series_summable_of_mem_ball x hx
end
lemma norm_exp_series_field_summable_of_mem_ball (x : 𝕂)
(hx : x ∈ emetric.ball (0 : 𝕂) (exp_series 𝕂 𝕂).radius) :
summable (λ n, ∥x^n / n!∥) :=
begin
change summable (norm ∘ _),
rw ← exp_series_apply_eq_field',
exact norm_exp_series_summable_of_mem_ball x hx
end
section complete_algebra
variables [complete_space 𝔸]
lemma exp_series_summable_of_mem_ball (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
summable (λ n, exp_series 𝕂 𝔸 n (λ _, x)) :=
summable_of_summable_norm (norm_exp_series_summable_of_mem_ball x hx)
lemma exp_series_summable_of_mem_ball' (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
summable (λ n, (1 / n! : 𝕂) • x^n) :=
summable_of_summable_norm (norm_exp_series_summable_of_mem_ball' x hx)
lemma exp_series_field_summable_of_mem_ball [complete_space 𝕂] (x : 𝕂)
(hx : x ∈ emetric.ball (0 : 𝕂) (exp_series 𝕂 𝕂).radius) : summable (λ n, x^n / n!) :=
summable_of_summable_norm (norm_exp_series_field_summable_of_mem_ball x hx)
lemma exp_series_has_sum_exp_of_mem_ball (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
has_sum (λ n, exp_series 𝕂 𝔸 n (λ _, x)) (exp 𝕂 𝔸 x) :=
formal_multilinear_series.has_sum (exp_series 𝕂 𝔸) hx
lemma exp_series_has_sum_exp_of_mem_ball' (x : 𝔸)
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
has_sum (λ n, (1 / n! : 𝕂) • x^n) (exp 𝕂 𝔸 x):=
begin
rw ← exp_series_apply_eq',
exact exp_series_has_sum_exp_of_mem_ball x hx
end
lemma exp_series_field_has_sum_exp_of_mem_ball [complete_space 𝕂] (x : 𝕂)
(hx : x ∈ emetric.ball (0 : 𝕂) (exp_series 𝕂 𝕂).radius) : has_sum (λ n, x^n / n!) (exp 𝕂 𝕂 x) :=
begin
rw ← exp_series_apply_eq_field',
exact exp_series_has_sum_exp_of_mem_ball x hx
end
lemma has_fpower_series_on_ball_exp_of_radius_pos (h : 0 < (exp_series 𝕂 𝔸).radius) :
has_fpower_series_on_ball (exp 𝕂 𝔸) (exp_series 𝕂 𝔸) 0 (exp_series 𝕂 𝔸).radius :=
(exp_series 𝕂 𝔸).has_fpower_series_on_ball h
lemma has_fpower_series_at_exp_zero_of_radius_pos (h : 0 < (exp_series 𝕂 𝔸).radius) :
has_fpower_series_at (exp 𝕂 𝔸) (exp_series 𝕂 𝔸) 0 :=
(has_fpower_series_on_ball_exp_of_radius_pos h).has_fpower_series_at
lemma continuous_on_exp :
continuous_on (exp 𝕂 𝔸) (emetric.ball 0 (exp_series 𝕂 𝔸).radius) :=
formal_multilinear_series.continuous_on
lemma analytic_at_exp_of_mem_ball (x : 𝔸) (hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
analytic_at 𝕂 (exp 𝕂 𝔸) x:=
begin
by_cases h : (exp_series 𝕂 𝔸).radius = 0,
{ rw h at hx, exact (ennreal.not_lt_zero hx).elim },
{ have h := pos_iff_ne_zero.mpr h,
exact (has_fpower_series_on_ball_exp_of_radius_pos h).analytic_at_of_mem hx }
end
/-- The exponential in a Banach-algebra `𝔸` over a normed field `𝕂` has strict Fréchet-derivative
`1 : 𝔸 →L[𝕂] 𝔸` at zero, as long as it converges on a neighborhood of zero. -/
lemma has_strict_fderiv_at_exp_zero_of_radius_pos (h : 0 < (exp_series 𝕂 𝔸).radius) :
has_strict_fderiv_at (exp 𝕂 𝔸) (1 : 𝔸 →L[𝕂] 𝔸) 0 :=
begin
convert (has_fpower_series_at_exp_zero_of_radius_pos h).has_strict_fderiv_at,
ext x,
change x = exp_series 𝕂 𝔸 1 (λ _, x),
simp [exp_series_apply_eq]
end
/-- The exponential in a Banach-algebra `𝔸` over a normed field `𝕂` has Fréchet-derivative
`1 : 𝔸 →L[𝕂] 𝔸` at zero, as long as it converges on a neighborhood of zero. -/
lemma has_fderiv_at_exp_zero_of_radius_pos (h : 0 < (exp_series 𝕂 𝔸).radius) :
has_fderiv_at (exp 𝕂 𝔸) (1 : 𝔸 →L[𝕂] 𝔸) 0 :=
(has_strict_fderiv_at_exp_zero_of_radius_pos h).has_fderiv_at
/-- In a Banach-algebra `𝔸` over a normed field `𝕂` of characteristic zero, if `x` and `y` are
in the disk of convergence and commute, then `exp 𝕂 𝔸 (x + y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`. -/
lemma exp_add_of_commute_of_mem_ball [char_zero 𝕂]
{x y : 𝔸} (hxy : commute x y) (hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius)
(hy : y ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
exp 𝕂 𝔸 (x + y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y) :=
begin
rw [exp_eq_tsum, tsum_mul_tsum_eq_tsum_sum_antidiagonal_of_summable_norm
(norm_exp_series_summable_of_mem_ball' x hx) (norm_exp_series_summable_of_mem_ball' y hy)],
dsimp only,
conv_lhs {congr, funext, rw [hxy.add_pow' _, finset.smul_sum]},
refine tsum_congr (λ n, finset.sum_congr rfl $ λ kl hkl, _),
rw [nsmul_eq_smul_cast 𝕂, smul_smul, smul_mul_smul, ← (finset.nat.mem_antidiagonal.mp hkl),
nat.cast_add_choose, (finset.nat.mem_antidiagonal.mp hkl)],
congr' 1,
have : (n! : 𝕂) ≠ 0 := nat.cast_ne_zero.mpr n.factorial_ne_zero,
field_simp [this]
end
end complete_algebra
end any_field_any_algebra
section any_field_comm_algebra
variables {𝕂 𝔸 : Type*} [nondiscrete_normed_field 𝕂] [normed_comm_ring 𝔸] [normed_algebra 𝕂 𝔸]
[complete_space 𝔸]
/-- In a commutative Banach-algebra `𝔸` over a normed field `𝕂` of characteristic zero,
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)` for all `x`, `y` in the disk of convergence. -/
lemma exp_add_of_mem_ball [char_zero 𝕂] {x y : 𝔸}
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius)
(hy : y ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
exp 𝕂 𝔸 (x + y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y) :=
exp_add_of_commute_of_mem_ball (commute.all x y) hx hy
/-- The exponential map in a commutative Banach-algebra `𝔸` over a normed field `𝕂` of
characteristic zero has Fréchet-derivative `exp 𝕂 𝔸 x • 1 : 𝔸 →L[𝕂] 𝔸` at any point `x` in the
disk of convergence. -/
lemma has_fderiv_at_exp_of_mem_ball [char_zero 𝕂] {x : 𝔸}
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
has_fderiv_at (exp 𝕂 𝔸) (exp 𝕂 𝔸 x • 1 : 𝔸 →L[𝕂] 𝔸) x :=
begin
have hpos : 0 < (exp_series 𝕂 𝔸).radius := (zero_le _).trans_lt hx,
rw has_fderiv_at_iff_is_o_nhds_zero,
suffices : (λ h, exp 𝕂 𝔸 x * (exp 𝕂 𝔸 (0 + h) - exp 𝕂 𝔸 0 - continuous_linear_map.id 𝕂 𝔸 h))
=ᶠ[𝓝 0] (λ h, exp 𝕂 𝔸 (x + h) - exp 𝕂 𝔸 x - exp 𝕂 𝔸 x • continuous_linear_map.id 𝕂 𝔸 h),
{ refine (is_o.const_mul_left _ _).congr' this (eventually_eq.refl _ _),
rw ← has_fderiv_at_iff_is_o_nhds_zero,
exact has_fderiv_at_exp_zero_of_radius_pos hpos },
have : ∀ᶠ h in 𝓝 (0 : 𝔸), h ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius :=
emetric.ball_mem_nhds _ hpos,
filter_upwards [this],
intros h hh,
rw [exp_add_of_mem_ball hx hh, exp_zero, zero_add, continuous_linear_map.id_apply, smul_eq_mul],
ring
end
/-- The exponential map in a commutative Banach-algebra `𝔸` over a normed field `𝕂` of
characteristic zero has strict Fréchet-derivative `exp 𝕂 𝔸 x • 1 : 𝔸 →L[𝕂] 𝔸` at any point `x` in
the disk of convergence. -/
lemma has_strict_fderiv_at_exp_of_mem_ball [char_zero 𝕂] {x : 𝔸}
(hx : x ∈ emetric.ball (0 : 𝔸) (exp_series 𝕂 𝔸).radius) :
has_strict_fderiv_at (exp 𝕂 𝔸) (exp 𝕂 𝔸 x • 1 : 𝔸 →L[𝕂] 𝔸) x :=
let ⟨p, hp⟩ := analytic_at_exp_of_mem_ball x hx in
hp.has_fderiv_at.unique (has_fderiv_at_exp_of_mem_ball hx) ▸ hp.has_strict_fderiv_at
end any_field_comm_algebra
section deriv
variables {𝕂 : Type*} [nondiscrete_normed_field 𝕂] [complete_space 𝕂]
/-- The exponential map in a complete normed field `𝕂` of characteristic zero has strict derivative
`exp 𝕂 𝕂 x` at any point `x` in the disk of convergence. -/
lemma has_strict_deriv_at_exp_of_mem_ball [char_zero 𝕂] {x : 𝕂}
(hx : x ∈ emetric.ball (0 : 𝕂) (exp_series 𝕂 𝕂).radius) :
has_strict_deriv_at (exp 𝕂 𝕂) (exp 𝕂 𝕂 x) x :=
by simpa using (has_strict_fderiv_at_exp_of_mem_ball hx).has_strict_deriv_at
/-- The exponential map in a complete normed field `𝕂` of characteristic zero has derivative
`exp 𝕂 𝕂 x` at any point `x` in the disk of convergence. -/
lemma has_deriv_at_exp_of_mem_ball [char_zero 𝕂] {x : 𝕂}
(hx : x ∈ emetric.ball (0 : 𝕂) (exp_series 𝕂 𝕂).radius) :
has_deriv_at (exp 𝕂 𝕂) (exp 𝕂 𝕂 x) x :=
(has_strict_deriv_at_exp_of_mem_ball hx).has_deriv_at
/-- The exponential map in a complete normed field `𝕂` of characteristic zero has strict derivative
`1` at zero, as long as it converges on a neighborhood of zero. -/
lemma has_strict_deriv_at_exp_zero_of_radius_pos (h : 0 < (exp_series 𝕂 𝕂).radius) :
has_strict_deriv_at (exp 𝕂 𝕂) 1 0 :=
(has_strict_fderiv_at_exp_zero_of_radius_pos h).has_strict_deriv_at
/-- The exponential map in a complete normed field `𝕂` of characteristic zero has derivative
`1` at zero, as long as it converges on a neighborhood of zero. -/
lemma has_deriv_at_exp_zero_of_radius_pos (h : 0 < (exp_series 𝕂 𝕂).radius) :
has_deriv_at (exp 𝕂 𝕂) 1 0 :=
(has_strict_deriv_at_exp_zero_of_radius_pos h).has_deriv_at
end deriv
section is_R_or_C
section any_algebra
variables {𝕂 𝔸 : Type*} [is_R_or_C 𝕂] [normed_ring 𝔸] [normed_algebra 𝕂 𝔸]
-- This is private because one can use the more general `exp_series_summable_field` intead.
private lemma real.summable_pow_div_factorial (x : ℝ) : summable (λ n : ℕ, x^n / n!) :=
begin
by_cases h : x = 0,
{ refine summable_of_norm_bounded_eventually 0 summable_zero _,
filter_upwards [eventually_cofinite_ne 0],
intros n hn,
rw [h, zero_pow' n hn, zero_div, norm_zero],
exact le_refl _ },
{ refine summable_of_ratio_test_tendsto_lt_one zero_lt_one (eventually_of_forall $
λ n, div_ne_zero (pow_ne_zero n h) (nat.cast_ne_zero.mpr n.factorial_ne_zero)) _,
suffices : ∀ n : ℕ, ∥x^(n+1) / (n+1)!∥ / ∥x^n / n!∥ = ∥x∥ / ∥((n+1 : ℕ) : ℝ)∥,
{ conv {congr, funext, rw [this, real.norm_coe_nat] },
exact (tendsto_const_div_at_top_nhds_0_nat _).comp (tendsto_add_at_top_nat 1) },
intro n,
calc ∥x^(n+1) / (n+1)!∥ / ∥x^n / n!∥
= (∥x∥^n * ∥x∥) * (∥(n! : ℝ)∥⁻¹ * ∥((n+1 : ℕ) : ℝ)∥⁻¹) * ((∥x∥^n)⁻¹ * ∥(n! : ℝ)∥) :
by rw [ normed_field.norm_div, normed_field.norm_div,
normed_field.norm_pow, normed_field.norm_pow, pow_add, pow_one,
div_eq_mul_inv, div_eq_mul_inv, div_eq_mul_inv, mul_inv', inv_inv',
nat.factorial_succ, nat.cast_mul, normed_field.norm_mul, mul_inv_rev' ]
... = (∥x∥ * ∥((n+1 : ℕ) : ℝ)∥⁻¹) * (∥x∥^n * (∥x∥^n)⁻¹) * (∥(n! : ℝ)∥ * ∥(n! : ℝ)∥⁻¹) :
by linarith --faster than ac_refl !
... = (∥x∥ * ∥((n+1 : ℕ) : ℝ)∥⁻¹) * 1 * 1 :
by rw [mul_inv_cancel (pow_ne_zero _ $ λ h', h $ norm_eq_zero.mp h'), mul_inv_cancel
(λ h', n.factorial_ne_zero $ nat.cast_eq_zero.mp $ norm_eq_zero.mp h')];
apply_instance
... = ∥x∥ / ∥((n+1 : ℕ) : ℝ)∥ : by rw [mul_one, mul_one, ← div_eq_mul_inv] }
end
variables (𝕂 𝔸)
/-- In a normed algebra `𝔸` over `𝕂 = ℝ` or `𝕂 = ℂ`, the series defining the exponential map
has an infinite radius of convergence. -/
lemma exp_series_radius_eq_top : (exp_series 𝕂 𝔸).radius = ∞ :=
begin
refine (exp_series 𝕂 𝔸).radius_eq_top_of_summable_norm (λ r, _),
refine summable_of_norm_bounded_eventually _ (real.summable_pow_div_factorial r) _,
filter_upwards [eventually_cofinite_ne 0],
intros n hn,
rw [norm_mul, norm_norm (exp_series 𝕂 𝔸 n), exp_series, norm_smul, norm_div, norm_one, norm_pow,
nnreal.norm_eq, norm_eq_abs, abs_cast_nat, mul_comm, ←mul_assoc, ←mul_div_assoc, mul_one],
have : ∥continuous_multilinear_map.mk_pi_algebra_fin 𝕂 n 𝔸∥ ≤ 1 :=
norm_mk_pi_algebra_fin_le_of_pos (nat.pos_of_ne_zero hn),
exact mul_le_of_le_one_right (div_nonneg (pow_nonneg r.coe_nonneg n) n!.cast_nonneg) this
end
lemma exp_series_radius_pos : 0 < (exp_series 𝕂 𝔸).radius :=
begin
rw exp_series_radius_eq_top,
exact with_top.zero_lt_top
end
variables {𝕂 𝔸}
section complete_algebra
lemma norm_exp_series_summable (x : 𝔸) : summable (λ n, ∥exp_series 𝕂 𝔸 n (λ _, x)∥) :=
norm_exp_series_summable_of_mem_ball x ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
lemma norm_exp_series_summable' (x : 𝔸) : summable (λ n, ∥(1 / n! : 𝕂) • x^n∥) :=
norm_exp_series_summable_of_mem_ball' x ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
lemma norm_exp_series_field_summable (x : 𝕂) : summable (λ n, ∥x^n / n!∥) :=
norm_exp_series_field_summable_of_mem_ball x
((exp_series_radius_eq_top 𝕂 𝕂).symm ▸ edist_lt_top _ _)
variables [complete_space 𝔸]
lemma exp_series_summable (x : 𝔸) : summable (λ n, exp_series 𝕂 𝔸 n (λ _, x)) :=
summable_of_summable_norm (norm_exp_series_summable x)
lemma exp_series_summable' (x : 𝔸) : summable (λ n, (1 / n! : 𝕂) • x^n) :=
summable_of_summable_norm (norm_exp_series_summable' x)
lemma exp_series_field_summable (x : 𝕂) : summable (λ n, x^n / n!) :=
summable_of_summable_norm (norm_exp_series_field_summable x)
lemma exp_series_has_sum_exp (x : 𝔸) : has_sum (λ n, exp_series 𝕂 𝔸 n (λ _, x)) (exp 𝕂 𝔸 x) :=
exp_series_has_sum_exp_of_mem_ball x ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
lemma exp_series_has_sum_exp' (x : 𝔸) : has_sum (λ n, (1 / n! : 𝕂) • x^n) (exp 𝕂 𝔸 x):=
exp_series_has_sum_exp_of_mem_ball' x ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
lemma exp_series_field_has_sum_exp (x : 𝕂) : has_sum (λ n, x^n / n!) (exp 𝕂 𝕂 x):=
exp_series_field_has_sum_exp_of_mem_ball x ((exp_series_radius_eq_top 𝕂 𝕂).symm ▸ edist_lt_top _ _)
lemma exp_has_fpower_series_on_ball :
has_fpower_series_on_ball (exp 𝕂 𝔸) (exp_series 𝕂 𝔸) 0 ∞ :=
exp_series_radius_eq_top 𝕂 𝔸 ▸
has_fpower_series_on_ball_exp_of_radius_pos (exp_series_radius_pos _ _)
lemma exp_has_fpower_series_at_zero :
has_fpower_series_at (exp 𝕂 𝔸) (exp_series 𝕂 𝔸) 0 :=
exp_has_fpower_series_on_ball.has_fpower_series_at
lemma exp_continuous :
continuous (exp 𝕂 𝔸) :=
begin
rw [continuous_iff_continuous_on_univ, ← metric.eball_top_eq_univ (0 : 𝔸),
← exp_series_radius_eq_top 𝕂 𝔸],
exact continuous_on_exp
end
lemma exp_analytic (x : 𝔸) :
analytic_at 𝕂 (exp 𝕂 𝔸) x :=
analytic_at_exp_of_mem_ball x ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
/-- The exponential in a Banach-algebra `𝔸` over `𝕂 = ℝ` or `𝕂 = ℂ` has strict Fréchet-derivative
`1 : 𝔸 →L[𝕂] 𝔸` at zero. -/
lemma has_strict_fderiv_at_exp_zero :
has_strict_fderiv_at (exp 𝕂 𝔸) (1 : 𝔸 →L[𝕂] 𝔸) 0 :=
has_strict_fderiv_at_exp_zero_of_radius_pos (exp_series_radius_pos 𝕂 𝔸)
/-- The exponential in a Banach-algebra `𝔸` over `𝕂 = ℝ` or `𝕂 = ℂ` has Fréchet-derivative
`1 : 𝔸 →L[𝕂] 𝔸` at zero. -/
lemma has_fderiv_at_exp_zero :
has_fderiv_at (exp 𝕂 𝔸) (1 : 𝔸 →L[𝕂] 𝔸) 0 :=
has_strict_fderiv_at_exp_zero.has_fderiv_at
end complete_algebra
local attribute [instance] char_zero_R_or_C
/-- In a Banach-algebra `𝔸` over `𝕂 = ℝ` or `𝕂 = ℂ`, if `x` and `y` commute, then
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`. -/
lemma exp_add_of_commute [complete_space 𝔸]
{x y : 𝔸} (hxy : commute x y) :
exp 𝕂 𝔸 (x + y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y) :=
exp_add_of_commute_of_mem_ball hxy ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
end any_algebra
section comm_algebra
variables {𝕂 𝔸 : Type*} [is_R_or_C 𝕂] [normed_comm_ring 𝔸] [normed_algebra 𝕂 𝔸] [complete_space 𝔸]
local attribute [instance] char_zero_R_or_C
/-- In a comutative Banach-algebra `𝔸` over `𝕂 = ℝ` or `𝕂 = ℂ`,
`exp 𝕂 𝔸 (x+y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y)`. -/
lemma exp_add {x y : 𝔸} : exp 𝕂 𝔸 (x + y) = (exp 𝕂 𝔸 x) * (exp 𝕂 𝔸 y) :=
exp_add_of_mem_ball ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
/-- The exponential map in a commutative Banach-algebra `𝔸` over `𝕂 = ℝ` or `𝕂 = ℂ` has strict
Fréchet-derivative `exp 𝕂 𝔸 x • 1 : 𝔸 →L[𝕂] 𝔸` at any point `x`. -/
lemma has_strict_fderiv_at_exp {x : 𝔸} :
has_strict_fderiv_at (exp 𝕂 𝔸) (exp 𝕂 𝔸 x • 1 : 𝔸 →L[𝕂] 𝔸) x :=
has_strict_fderiv_at_exp_of_mem_ball ((exp_series_radius_eq_top 𝕂 𝔸).symm ▸ edist_lt_top _ _)
/-- The exponential map in a commutative Banach-algebra `𝔸` over `𝕂 = ℝ` or `𝕂 = ℂ` has
Fréchet-derivative `exp 𝕂 𝔸 x • 1 : 𝔸 →L[𝕂] 𝔸` at any point `x`. -/
lemma has_fderiv_at_exp {x : 𝔸} :
has_fderiv_at (exp 𝕂 𝔸) (exp 𝕂 𝔸 x • 1 : 𝔸 →L[𝕂] 𝔸) x :=
has_strict_fderiv_at_exp.has_fderiv_at
end comm_algebra
section deriv
variables {𝕂 : Type*} [is_R_or_C 𝕂]
local attribute [instance] char_zero_R_or_C
/-- The exponential map in `𝕂 = ℝ` or `𝕂 = ℂ` has strict derivative `exp 𝕂 𝕂 x` at any point
`x`. -/
lemma has_strict_deriv_at_exp {x : 𝕂} : has_strict_deriv_at (exp 𝕂 𝕂) (exp 𝕂 𝕂 x) x :=
has_strict_deriv_at_exp_of_mem_ball ((exp_series_radius_eq_top 𝕂 𝕂).symm ▸ edist_lt_top _ _)
/-- The exponential map in `𝕂 = ℝ` or `𝕂 = ℂ` has derivative `exp 𝕂 𝕂 x` at any point `x`. -/
lemma has_deriv_at_exp {x : 𝕂} : has_deriv_at (exp 𝕂 𝕂) (exp 𝕂 𝕂 x) x :=
has_strict_deriv_at_exp.has_deriv_at
/-- The exponential map in `𝕂 = ℝ` or `𝕂 = ℂ` has strict derivative `1` at zero. -/
lemma has_strict_deriv_at_exp_zero : has_strict_deriv_at (exp 𝕂 𝕂) 1 0 :=
has_strict_deriv_at_exp_zero_of_radius_pos (exp_series_radius_pos 𝕂 𝕂)
/-- The exponential map in `𝕂 = ℝ` or `𝕂 = ℂ` has derivative `1` at zero. -/
lemma has_deriv_at_exp_zero :
has_deriv_at (exp 𝕂 𝕂) 1 0 :=
has_strict_deriv_at_exp_zero.has_deriv_at
end deriv
end is_R_or_C
section scalar_tower
variables (𝕂 𝕂' 𝔸 : Type*) [nondiscrete_normed_field 𝕂] [nondiscrete_normed_field 𝕂']
[normed_ring 𝔸] [normed_algebra 𝕂 𝔸] [normed_algebra 𝕂 𝕂'] [normed_algebra 𝕂' 𝔸]
[is_scalar_tower 𝕂 𝕂' 𝔸] (p : ℕ) [char_p 𝕂 p]
include p
lemma exp_series_eq_exp_series_of_field_extension (n : ℕ) (x : 𝔸) :
(exp_series 𝕂 𝔸 n (λ _, x)) = (exp_series 𝕂' 𝔸 n (λ _, x)) :=
begin
haveI : char_p 𝕂' p := char_p_of_injective_algebra_map (algebra_map 𝕂 𝕂').injective p,
rw [exp_series, exp_series,
smul_apply, mk_pi_algebra_fin_apply, list.of_fn_const, list.prod_repeat,
smul_apply, mk_pi_algebra_fin_apply, list.of_fn_const, list.prod_repeat,
←inv_eq_one_div, ←inv_eq_one_div, ← smul_one_smul 𝕂' (_ : 𝕂) (_ : 𝔸)],
congr,
symmetry,
have key : (n! : 𝕂) = 0 ↔ (n! : 𝕂') = 0,
{ rw [char_p.cast_eq_zero_iff 𝕂' p, char_p.cast_eq_zero_iff 𝕂 p] },
by_cases h : (n! : 𝕂) = 0,
{ have h' : (n! : 𝕂') = 0 := key.mp h,
field_simp [h, h'] },
{ have h' : (n! : 𝕂') ≠ 0 := λ hyp, h (key.mpr hyp),
suffices : (n! : 𝕂) • (n!⁻¹ : 𝕂') = (n! : 𝕂) • ((n!⁻¹ : 𝕂) • 1),
{ apply_fun (λ (x : 𝕂'), (n!⁻¹ : 𝕂) • x) at this,
rwa [inv_smul_smul' h, inv_smul_smul' h] at this },
rw [← smul_assoc, ← nsmul_eq_smul_cast, nsmul_eq_smul_cast 𝕂' _ (_ : 𝕂')],
field_simp [h, h'] }
end
/-- Given `𝕂' / 𝕂` a normed field extension (that is, an instance of `normed_algebra 𝕂 𝕂'`) and a
normed algebra `𝔸` over both `𝕂` and `𝕂'` then `exp 𝕂 𝔸 = exp 𝕂' 𝔸`. -/
lemma exp_eq_exp_of_field_extension : exp 𝕂 𝔸 = exp 𝕂' 𝔸 :=
begin
ext,
rw [exp, exp],
refine tsum_congr (λ n, _),
rw exp_series_eq_exp_series_of_field_extension 𝕂 𝕂' 𝔸 p n x
end
end scalar_tower
section complex
lemma complex.exp_eq_exp_ℂ_ℂ : complex.exp = exp ℂ ℂ :=
begin
refine funext (λ x, _),
rw [complex.exp, exp_eq_tsum_field],
exact tendsto_nhds_unique x.exp'.tendsto_limit
(exp_series_field_summable x).has_sum.tendsto_sum_nat
end
lemma exp_ℝ_ℂ_eq_exp_ℂ_ℂ : exp ℝ ℂ = exp ℂ ℂ :=
exp_eq_exp_of_field_extension ℝ ℂ ℂ 0
end complex
section real
lemma real.exp_eq_exp_ℝ_ℝ : real.exp = exp ℝ ℝ :=
begin
refine funext (λ x, _),
rw [real.exp, complex.exp_eq_exp_ℂ_ℂ, ← exp_ℝ_ℂ_eq_exp_ℂ_ℂ, exp_eq_tsum, exp_eq_tsum_field,
← re_to_complex, ← re_clm_apply, re_clm.map_tsum (exp_series_summable' (x : ℂ))],
refine tsum_congr (λ n, _),
rw [re_clm.map_smul, ← complex.of_real_pow, re_clm_apply, re_to_complex, complex.of_real_re,
smul_eq_mul, one_div, mul_comm, div_eq_mul_inv]
end
end real
|
8634ca3657a82cd197220ea32e192ea421fbeda0 | d406927ab5617694ec9ea7001f101b7c9e3d9702 | /src/ring_theory/free_comm_ring.lean | 887264d82f83ed7f894baba39f14a545162deca1 | [
"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 | 14,051 | lean | /-
Copyright (c) 2019 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Johan Commelin
-/
import data.mv_polynomial.equiv
import data.mv_polynomial.comm_ring
import logic.equiv.functor
import ring_theory.free_ring
/-!
# Free commutative rings
The theory of the free commutative ring generated by a type `α`.
It is isomorphic to the polynomial ring over ℤ with variables
in `α`
## Main definitions
* `free_comm_ring α` : the free commutative ring on a type α
* `lift (f : α → R)` : the ring hom `free_comm_ring α →+* R` induced by functoriality from `f`.
* `map (f : α → β)` : the ring hom `free_comm_ring α →*+ free_comm_ring β` induced by
functoriality from f.
## Main results
`free_comm_ring` has functorial properties (it is an adjoint to the forgetful functor).
In this file we have:
* `of : α → free_comm_ring α`
* `lift (f : α → R) : free_comm_ring α →+* R`
* `map (f : α → β) : free_comm_ring α →+* free_comm_ring β`
* `free_comm_ring_equiv_mv_polynomial_int : free_comm_ring α ≃+* mv_polynomial α ℤ` :
`free_comm_ring α` is isomorphic to a polynomial ring.
## Implementation notes
`free_comm_ring α` is implemented not using `mv_polynomial` but
directly as the free abelian group on `multiset α`, the type
of monomials in this free commutative ring.
## Tags
free commutative ring, free ring
-/
noncomputable theory
open_locale classical polynomial
universes u v
variables (α : Type u)
/-- `free_comm_ring α` is the free commutative ring on the type `α`. -/
@[derive [comm_ring, inhabited]]
def free_comm_ring (α : Type u) : Type u :=
free_abelian_group $ multiplicative $ multiset α
namespace free_comm_ring
variables {α}
/-- The canonical map from `α` to the free commutative ring on `α`. -/
def of (x : α) : free_comm_ring α :=
free_abelian_group.of $ multiplicative.of_add ({x} : multiset α)
lemma of_injective : function.injective (of : α → free_comm_ring α) :=
free_abelian_group.of_injective.comp (λ x y,
(multiset.coe_eq_coe.trans list.singleton_perm_singleton).mp)
@[elab_as_eliminator] protected lemma induction_on
{C : free_comm_ring α → Prop} (z : free_comm_ring α)
(hn1 : C (-1)) (hb : ∀ b, C (of b))
(ha : ∀ x y, C x → C y → C (x + y))
(hm : ∀ x y, C x → C y → C (x * y)) : C z :=
have hn : ∀ x, C x → C (-x), from λ x ih, neg_one_mul x ▸ hm _ _ hn1 ih,
have h1 : C 1, from neg_neg (1 : free_comm_ring α) ▸ hn _ hn1,
free_abelian_group.induction_on z
(add_left_neg (1 : free_comm_ring α) ▸ ha _ _ hn1 h1)
(λ m, multiset.induction_on m h1 $ λ a m ih, hm _ _ (hb a) ih)
(λ m ih, hn _ ih)
ha
section lift
variables {R : Type v} [comm_ring R] (f : α → R)
/-- A helper to implement `lift`. This is essentially `free_comm_monoid.lift`, but this does not
currently exist. -/
private def lift_to_multiset : (α → R) ≃ (multiplicative (multiset α) →* R) :=
{ to_fun := λ f,
{ to_fun := λ s, (s.to_add.map f).prod,
map_mul' := λ x y, calc _ = multiset.prod ((multiset.map f x) + (multiset.map f y)) :
by {congr' 1, exact multiset.map_add _ _ _}
... = _ : multiset.prod_add _ _,
map_one' := rfl},
inv_fun := λ F x, F (multiplicative.of_add ({x} : multiset α)),
left_inv := λ f, funext $ λ x, show (multiset.map f {x}).prod = _, by simp,
right_inv := λ F, monoid_hom.ext $ λ x,
let F' := F.to_additive'', x' := x.to_add in show (multiset.map (λ a, F' {a}) x').sum = F' x',
begin
rw [←multiset.map_map, ←add_monoid_hom.map_multiset_sum],
exact F.congr_arg (multiset.sum_map_singleton x'),
end }
/-- Lift a map `α → R` to a additive group homomorphism `free_comm_ring α → R`.
For a version producing a bundled homomorphism, see `lift_hom`. -/
def lift : (α → R) ≃ (free_comm_ring α →+* R) :=
equiv.trans lift_to_multiset free_abelian_group.lift_monoid
@[simp] lemma lift_of (x : α) : lift f (of x) = f x :=
(free_abelian_group.lift.of _ _).trans $ mul_one _
@[simp] lemma lift_comp_of (f : free_comm_ring α →+* R) : lift (f ∘ of) = f :=
ring_hom.ext $ λ x, free_comm_ring.induction_on x
(by rw [ring_hom.map_neg, ring_hom.map_one, f.map_neg, f.map_one])
(lift_of _)
(λ x y ihx ihy, by rw [ring_hom.map_add, f.map_add, ihx, ihy])
(λ x y ihx ihy, by rw [ring_hom.map_mul, f.map_mul, ihx, ihy])
@[ext]
lemma hom_ext ⦃f g : free_comm_ring α →+* R⦄ (h : ∀ x, f (of x) = g (of x)) :
f = g :=
lift.symm.injective (funext h)
end lift
variables {β : Type v} (f : α → β)
/-- A map `f : α → β` produces a ring homomorphism `free_comm_ring α →+* free_comm_ring β`. -/
def map : free_comm_ring α →+* free_comm_ring β :=
lift $ of ∘ f
@[simp]
lemma map_of (x : α) : map f (of x) = of (f x) := lift_of _ _
/-- `is_supported x s` means that all monomials showing up in `x` have variables in `s`. -/
def is_supported (x : free_comm_ring α) (s : set α) : Prop :=
x ∈ subring.closure (of '' s)
section is_supported
variables {x y : free_comm_ring α} {s t : set α}
theorem is_supported_upwards (hs : is_supported x s) (hst : s ⊆ t) :
is_supported x t :=
subring.closure_mono (set.monotone_image hst) hs
theorem is_supported_add (hxs : is_supported x s) (hys : is_supported y s) :
is_supported (x + y) s :=
subring.add_mem _ hxs hys
theorem is_supported_neg (hxs : is_supported x s) :
is_supported (-x) s :=
subring.neg_mem _ hxs
theorem is_supported_sub (hxs : is_supported x s) (hys : is_supported y s) :
is_supported (x - y) s :=
subring.sub_mem _ hxs hys
theorem is_supported_mul (hxs : is_supported x s) (hys : is_supported y s) :
is_supported (x * y) s :=
subring.mul_mem _ hxs hys
theorem is_supported_zero : is_supported 0 s :=
subring.zero_mem _
theorem is_supported_one : is_supported 1 s :=
subring.one_mem _
theorem is_supported_int {i : ℤ} {s : set α} : is_supported ↑i s :=
int.induction_on i is_supported_zero
(λ i hi, by rw [int.cast_add, int.cast_one]; exact is_supported_add hi is_supported_one)
(λ i hi, by rw [int.cast_sub, int.cast_one]; exact is_supported_sub hi is_supported_one)
end is_supported
/-- The restriction map from `free_comm_ring α` to `free_comm_ring s` where `s : set α`, defined
by sending all variables not in `s` to zero. -/
def restriction (s : set α) [decidable_pred (∈ s)] : free_comm_ring α →+* free_comm_ring s :=
lift (λ p, if H : p ∈ s then of (⟨p, H⟩ : s) else 0)
section restriction
variables (s : set α) [decidable_pred (∈ s)] (x y : free_comm_ring α)
@[simp] lemma restriction_of (p) :
restriction s (of p) = if H : p ∈ s then of ⟨p, H⟩ else 0 := lift_of _ _
end restriction
theorem is_supported_of {p} {s : set α} : is_supported (of p) s ↔ p ∈ s :=
suffices is_supported (of p) s → p ∈ s, from ⟨this, λ hps, subring.subset_closure ⟨p, hps, rfl⟩⟩,
assume hps : is_supported (of p) s, begin
haveI := classical.dec_pred s,
have : ∀ x, is_supported x s →
∃ (n : ℤ), lift (λ a, if a ∈ s then (0 : ℤ[X]) else polynomial.X) x = n,
{ intros x hx, refine subring.in_closure.rec_on hx _ _ _ _,
{ use 1, rw [ring_hom.map_one], norm_cast },
{ use -1, rw [ring_hom.map_neg, ring_hom.map_one, int.cast_neg, int.cast_one] },
{ rintros _ ⟨z, hzs, rfl⟩ _ _, use 0, rw [ring_hom.map_mul, lift_of, if_pos hzs, zero_mul],
norm_cast },
{ rintros x y ⟨q, hq⟩ ⟨r, hr⟩, refine ⟨q+r, _⟩, rw [ring_hom.map_add, hq, hr], norm_cast } },
specialize this (of p) hps, rw [lift_of] at this, split_ifs at this, { exact h },
exfalso, apply ne.symm int.zero_ne_one,
rcases this with ⟨w, H⟩, rw ←polynomial.C_eq_int_cast at H,
have : polynomial.X.coeff 1 = (polynomial.C ↑w).coeff 1, by rw H,
rwa [polynomial.coeff_C, if_neg (one_ne_zero : 1 ≠ 0), polynomial.coeff_X, if_pos rfl] at this
end
theorem map_subtype_val_restriction {x} (s : set α) [decidable_pred (∈ s)]
(hxs : is_supported x s) :
map (subtype.val : s → α) (restriction s x) = x :=
begin
refine subring.in_closure.rec_on hxs _ _ _ _,
{ rw ring_hom.map_one, refl },
{ rw [ring_hom.map_neg, ring_hom.map_neg, ring_hom.map_one], refl },
{ rintros _ ⟨p, hps, rfl⟩ n ih,
rw [ring_hom.map_mul, restriction_of, dif_pos hps, ring_hom.map_mul, map_of, ih] },
{ intros x y ihx ihy, rw [ring_hom.map_add, ring_hom.map_add, ihx, ihy] }
end
theorem exists_finite_support (x : free_comm_ring α) :
∃ s : set α, set.finite s ∧ is_supported x s :=
free_comm_ring.induction_on x
⟨∅, set.finite_empty, is_supported_neg is_supported_one⟩
(λ p, ⟨{p}, set.finite_singleton p, is_supported_of.2 $ set.mem_singleton _⟩)
(λ x y ⟨s, hfs, hxs⟩ ⟨t, hft, hxt⟩, ⟨s ∪ t, hfs.union hft, is_supported_add
(is_supported_upwards hxs $ set.subset_union_left s t)
(is_supported_upwards hxt $ set.subset_union_right s t)⟩)
(λ x y ⟨s, hfs, hxs⟩ ⟨t, hft, hxt⟩, ⟨s ∪ t, hfs.union hft, is_supported_mul
(is_supported_upwards hxs $ set.subset_union_left s t)
(is_supported_upwards hxt $ set.subset_union_right s t)⟩)
theorem exists_finset_support (x : free_comm_ring α) : ∃ s : finset α, is_supported x ↑s :=
let ⟨s, hfs, hxs⟩ := exists_finite_support x in ⟨hfs.to_finset, by rwa set.finite.coe_to_finset⟩
end free_comm_ring
namespace free_ring
open function
variable (α)
/-- The canonical ring homomorphism from the free ring generated by `α` to the free commutative ring
generated by `α`. -/
def to_free_comm_ring {α} : free_ring α →+* free_comm_ring α :=
free_ring.lift free_comm_ring.of
instance : has_coe (free_ring α) (free_comm_ring α) := ⟨to_free_comm_ring⟩
/-- The natural map `free_ring α → free_comm_ring α`, as a `ring_hom`. -/
def coe_ring_hom : free_ring α →+* free_comm_ring α := to_free_comm_ring
@[simp, norm_cast] protected lemma coe_zero : ↑(0 : free_ring α) = (0 : free_comm_ring α) := rfl
@[simp, norm_cast] protected lemma coe_one : ↑(1 : free_ring α) = (1 : free_comm_ring α) := rfl
variable {α}
@[simp] protected lemma coe_of (a : α) : ↑(free_ring.of a) = free_comm_ring.of a :=
free_ring.lift_of _ _
@[simp, norm_cast] protected lemma coe_neg (x : free_ring α) : ↑(-x) = -(x : free_comm_ring α) :=
(free_ring.lift _).map_neg _
@[simp, norm_cast] protected lemma coe_add (x y : free_ring α) :
↑(x + y) = (x : free_comm_ring α) + y :=
(free_ring.lift _).map_add _ _
@[simp, norm_cast] protected lemma coe_sub (x y : free_ring α) :
↑(x - y) = (x : free_comm_ring α) - y :=
(free_ring.lift _).map_sub _ _
@[simp, norm_cast] protected lemma coe_mul (x y : free_ring α) :
↑(x * y) = (x : free_comm_ring α) * y :=
(free_ring.lift _).map_mul _ _
variable (α)
protected lemma coe_surjective : surjective (coe : free_ring α → free_comm_ring α) :=
λ x,
begin
apply free_comm_ring.induction_on x,
{ use -1, refl },
{ intro x, use free_ring.of x, refl },
{ rintros _ _ ⟨x, rfl⟩ ⟨y, rfl⟩, use x + y, exact (free_ring.lift _).map_add _ _ },
{ rintros _ _ ⟨x, rfl⟩ ⟨y, rfl⟩, use x * y, exact (free_ring.lift _).map_mul _ _ }
end
lemma coe_eq :
(coe : free_ring α → free_comm_ring α) =
@functor.map free_abelian_group _ _ _ (λ (l : list α), (l : multiset α)) :=
funext $ λ x, free_abelian_group.lift.unique _ _ $ λ L,
by { simp_rw [free_abelian_group.lift.of, (∘)], exact free_monoid.rec_on L rfl
(λ hd tl ih, by { rw [(free_monoid.lift _).map_mul, free_monoid.lift_eval_of, ih], refl }) }
/-- If α has size at most 1 then the natural map from the free ring on `α` to the
free commutative ring on `α` is an isomorphism of rings. -/
def subsingleton_equiv_free_comm_ring [subsingleton α] :
free_ring α ≃+* free_comm_ring α :=
ring_equiv.of_bijective (coe_ring_hom _)
begin
have : (coe_ring_hom _ : free_ring α → free_comm_ring α) =
(functor.map_equiv free_abelian_group (multiset.subsingleton_equiv α)) := coe_eq α,
rw this,
apply equiv.bijective,
end
instance [subsingleton α] : comm_ring (free_ring α) :=
{ mul_comm := λ x y,
by { rw [← (subsingleton_equiv_free_comm_ring α).symm_apply_apply (y * x),
((subsingleton_equiv_free_comm_ring α)).map_mul,
mul_comm,
← ((subsingleton_equiv_free_comm_ring α)).map_mul,
(subsingleton_equiv_free_comm_ring α).symm_apply_apply], },
.. free_ring.ring α }
end free_ring
/-- The free commutative ring on `α` is isomorphic to the polynomial ring over ℤ with
variables in `α` -/
def free_comm_ring_equiv_mv_polynomial_int :
free_comm_ring α ≃+* mv_polynomial α ℤ :=
ring_equiv.of_hom_inv
(free_comm_ring.lift $ (λ a, mv_polynomial.X a : α → mv_polynomial α ℤ))
(mv_polynomial.eval₂_hom (int.cast_ring_hom (free_comm_ring α)) free_comm_ring.of)
(by { ext, simp })
(by ext; simp)
/-- The free commutative ring on the empty type is isomorphic to `ℤ`. -/
def free_comm_ring_pempty_equiv_int : free_comm_ring pempty.{u+1} ≃+* ℤ :=
ring_equiv.trans (free_comm_ring_equiv_mv_polynomial_int _)
(mv_polynomial.is_empty_ring_equiv _ pempty)
/-- The free commutative ring on a type with one term is isomorphic to `ℤ[X]`. -/
def free_comm_ring_punit_equiv_polynomial_int : free_comm_ring punit.{u+1} ≃+* ℤ[X] :=
(free_comm_ring_equiv_mv_polynomial_int _).trans (mv_polynomial.punit_alg_equiv ℤ).to_ring_equiv
open free_ring
/-- The free ring on the empty type is isomorphic to `ℤ`. -/
def free_ring_pempty_equiv_int : free_ring pempty.{u+1} ≃+* ℤ :=
ring_equiv.trans (subsingleton_equiv_free_comm_ring _) free_comm_ring_pempty_equiv_int
/-- The free ring on a type with one term is isomorphic to `ℤ[X]`. -/
def free_ring_punit_equiv_polynomial_int : free_ring punit.{u+1} ≃+* ℤ[X] :=
ring_equiv.trans (subsingleton_equiv_free_comm_ring _) free_comm_ring_punit_equiv_polynomial_int
|
1323a43d883af68581b0a7c98a2a6af082f91d23 | 54deab7025df5d2df4573383df7e1e5497b7a2c2 | /data/list/basic.lean | 41e9315d9e661dfbd5930befcdb9e4fd2f2971dd | [
"Apache-2.0"
] | permissive | HGldJ1966/mathlib | f8daac93a5b4ae805cfb0ecebac21a9ce9469009 | c5c5b504b918a6c5e91e372ee29ed754b0513e85 | refs/heads/master | 1,611,340,395,683 | 1,503,040,489,000 | 1,503,040,489,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 39,410 | lean | /-
Copyright (c) 2014 Parikshit Khanna. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Parikshit Khanna, Jeremy Avigad, Leonardo de Moura, Floris van Doorn
Basic properties of lists.
-/
import logic.basic data.nat.basic data.option
open function nat
namespace list
universes u v w
variables {α : Type u} {β : Type v} {γ : Type w}
@[simp] theorem cons_ne_nil (a : α) (l : list α) : a::l ≠ [].
theorem head_eq_of_cons_eq {α : Type} {h₁ h₂ : α} {t₁ t₂ : list α} :
(h₁::t₁) = (h₂::t₂) → h₁ = h₂ :=
assume Peq, list.no_confusion Peq (assume Pheq Pteq, Pheq)
theorem tail_eq_of_cons_eq {α : Type} {h₁ h₂ : α} {t₁ t₂ : list α} :
(h₁::t₁) = (h₂::t₂) → t₁ = t₂ :=
assume Peq, list.no_confusion Peq (assume Pheq Pteq, Pteq)
theorem cons_inj {α : Type} {a : α} : injective (cons a) :=
assume l₁ l₂, assume Pe, tail_eq_of_cons_eq Pe
/- append -/
theorem append_ne_nil_of_ne_nil_left (s t : list α) : s ≠ [] → s ++ t ≠ [] :=
by induction s; intros; contradiction
theorem append_ne_nil_of_ne_nil_right (s t : list α) : t ≠ [] → s ++ t ≠ [] :=
by induction s; intros; contradiction
theorem append_foldl (f : α → β → α) (a : α) (s t : list β) : foldl f a (s ++ t) = foldl f (foldl f a s) t :=
by {revert a, induction s with b s H, exact λ_, rfl, intros, simp [foldl], rw H _}
theorem append_foldr (f : α → β → β) (a : β) (s t : list α) : foldr f a (s ++ t) = foldr f (foldr f a t) s :=
by {revert a, induction s with b s H, exact λ_, rfl, intros, simp [foldr], rw H _}
/- repeat take drop -/
def split_at : ℕ → list α → list α × list α
| 0 a := ([], a)
| (succ n) [] := ([], [])
| (succ n) (x :: xs) := let (l, r) := split_at n xs in (x :: l, r)
@[simp] theorem split_at_eq_take_drop : ∀ (n : ℕ) (l : list α), split_at n l = (take n l, drop n l)
| 0 a := rfl
| (succ n) [] := rfl
| (succ n) (x :: xs) := by simp [split_at, split_at_eq_take_drop n xs]
@[simp] theorem take_append_drop : ∀ (n : ℕ) (l : list α), take n l ++ drop n l = l
| 0 a := rfl
| (succ n) [] := rfl
| (succ n) (x :: xs) := by simp [take_append_drop n xs]
-- TODO(Leo): cleanup proof after arith dec proc
theorem append_inj : ∀ {s₁ s₂ t₁ t₂ : list α}, s₁ ++ t₁ = s₂ ++ t₂ → length s₁ = length s₂ → s₁ = s₂ ∧ t₁ = t₂
| [] [] t₁ t₂ h hl := ⟨rfl, h⟩
| (a::s₁) [] t₁ t₂ h hl := list.no_confusion $ eq_nil_of_length_eq_zero hl
| [] (b::s₂) t₁ t₂ h hl := list.no_confusion $ eq_nil_of_length_eq_zero hl.symm
| (a::s₁) (b::s₂) t₁ t₂ h hl := list.no_confusion h $ λab hap,
let ⟨e1, e2⟩ := @append_inj s₁ s₂ t₁ t₂ hap (succ.inj hl) in
by rw [ab, e1, e2]; exact ⟨rfl, rfl⟩
theorem append_inj_left {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂) (hl : length s₁ = length s₂) : s₁ = s₂ :=
(append_inj h hl).left
theorem append_inj_right {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂) (hl : length s₁ = length s₂) : t₁ = t₂ :=
(append_inj h hl).right
theorem append_right_inj {s₁ s₂ t₁ t₂ : list α} (h : s₁ ++ t₁ = s₂ ++ t₂) (hl : length t₁ = length t₂) : s₁ = s₂ ∧ t₁ = t₂ :=
append_inj h $ @nat.add_right_cancel _ (length t₁) _ $
let hap := congr_arg length h in by simp at hap; rwa [← hl] at hap
/- concat -/
def concat : list α → α → list α
| [] a := [a]
| (b::l) a := b :: concat l a
attribute [simp] concat
@[simp] theorem concat_nil (a : α) : concat [] a = [a] := rfl
@[simp] theorem concat_cons (a b : α) (l : list α) : concat (a :: l) b = a :: concat l b := rfl
@[simp] theorem concat_ne_nil (a : α) (l : list α) : concat l a ≠ [] :=
by induction l; intro h; contradiction
@[simp] theorem concat_append (a : α) (l₁ l₂ : list α) : concat l₁ a ++ l₂ = l₁ ++ a :: l₂ :=
by induction l₁ with b l₁ ih; [simp, simp [ih]]
@[simp] lemma concat_eq_append (a : α) (l : list α) : concat l a = l ++ [a] :=
by induction l; simp [*, concat]
@[simp] lemma length_concat (a : α) (l : list α) : length (concat l a) = succ (length l) :=
by simp [succ_eq_add_one]
theorem append_concat (a : α) (l₁ l₂ : list α) : l₁ ++ concat l₂ a = concat (l₁ ++ l₂) a :=
by induction l₂ with b l₂ ih; simp
/- reverse -/
@[simp] theorem reverse_nil : reverse (@nil α) = [] :=
rfl
local attribute [simp] reverse_core
@[simp] theorem reverse_cons (a : α) (l : list α) : reverse (a::l) = concat (reverse l) a :=
have aux : ∀ l₁ l₂, reverse_core l₁ (concat l₂ a) = concat (reverse_core l₁ l₂) a,
by intros l₁; induction l₁; intros; rsimp,
aux l nil
@[simp] theorem reverse_singleton (a : α) : reverse [a] = [a] :=
rfl
@[simp] theorem reverse_append (s t : list α) : reverse (s ++ t) = (reverse t) ++ (reverse s) :=
by induction s; simp [*]
@[simp] theorem reverse_reverse (l : list α) : reverse (reverse l) = l :=
by induction l; simp [*]
theorem concat_eq_reverse_cons (a : α) (l : list α) : concat l a = reverse (a :: reverse l) :=
by simp
@[simp] theorem length_reverse (l : list α) : length (reverse l) = length l :=
by induction l; simp [*]
@[simp] theorem map_reverse (f : α → β) (l : list α) : map f (reverse l) = reverse (map f l) :=
by induction l; simp [*]
/- last -/
@[simp] theorem last_cons {a : α} {l : list α} : ∀ (h₁ : a :: l ≠ nil) (h₂ : l ≠ nil), last (a :: l) h₁ = last l h₂ :=
by {induction l; intros, contradiction, simp [*], reflexivity}
@[simp] theorem last_append {a : α} (l : list α) (h : l ++ [a] ≠ []) : last (l ++ [a]) h = a :=
begin
induction l with hd tl ih; rsimp,
have haux : tl ++ [a] ≠ [],
{apply append_ne_nil_of_ne_nil_right, contradiction},
simp [*]
end
theorem last_concat {a : α} (l : list α) (h : concat l a ≠ []) : last (concat l a) h = a :=
by simp [*]
@[simp] theorem last_singleton (a : α) (h : [a] ≠ []) : last [a] h = a := rfl
@[simp] theorem last_cons_cons (a₁ a₂ : α) (l : list α) (h : a₁::a₂::l ≠ []) :
last (a₁::a₂::l) h = last (a₂::l) (cons_ne_nil a₂ l) := rfl
theorem last_congr {l₁ l₂ : list α} (h₁ : l₁ ≠ []) (h₂ : l₂ ≠ []) (h₃ : l₁ = l₂) :
last l₁ h₁ = last l₂ h₂ :=
by subst l₁
/- head and tail -/
@[simp] theorem head_cons [h : inhabited α] (a : α) (l : list α) : head (a::l) = a := rfl
@[simp] theorem tail_nil : tail (@nil α) = [] := rfl
@[simp] theorem tail_cons (a : α) (l : list α) : tail (a::l) = l := rfl
@[simp] theorem head_append [h : inhabited α] (t : list α) {s : list α} (h : s ≠ []) : head (s ++ t) = head s :=
by {induction s, contradiction, simp}
theorem cons_head_tail [h : inhabited α] {l : list α} (h : l ≠ []) : (head l)::(tail l) = l :=
by {induction l, contradiction, simp}
/- map -/
lemma map_concat (f : α → β) (a : α) (l : list α) : map f (concat l a) = concat (map f l) (f a) :=
by induction l; simp [*]
theorem map_id' {f : α → α} (h : ∀ x, f x = x) (l : list α) : map f l = l :=
by induction l; simp [*]
@[simp] theorem foldl_map (g : β → γ) (f : α → γ → α) (a : α) (l : list β) : foldl f a (map g l) = foldl (λx y, f x (g y)) a l :=
by revert a; induction l; intros; simp [*, foldl]
@[simp] theorem foldr_map (g : β → γ) (f : γ → α → α) (a : α) (l : list β) : foldr f a (map g l) = foldr (f ∘ g) a l :=
by revert a; induction l; intros; simp [*, foldr]
theorem foldl_hom (f : α → β) (g : α → γ → α) (g' : β → γ → β) (a : α)
(h : ∀a x, f (g a x) = g' (f a) x) (l : list γ) : f (foldl g a l) = foldl g' (f a) l :=
by revert a; induction l; intros; simp [*, foldl]
theorem foldr_hom (f : α → β) (g : γ → α → α) (g' : γ → β → β) (a : α)
(h : ∀x a, f (g x a) = g' x (f a)) (l : list γ) : f (foldr g a l) = foldr g' (f a) l :=
by revert a; induction l; intros; simp [*, foldr]
/- mem -/
theorem eq_nil_of_forall_not_mem : ∀ {l : list α}, (∀ a, a ∉ l) → l = nil
| [] := assume h, rfl
| (b :: l') := assume h, absurd (mem_cons_self b l') (h b)
theorem mem_singleton {a b : α} : a ∈ [b] → a = b :=
assume : a ∈ [b], or.elim (eq_or_mem_of_mem_cons this)
(assume : a = b, this)
(assume : a ∈ [], absurd this (not_mem_nil a))
@[simp] theorem mem_singleton_iff (a b : α) : a ∈ [b] ↔ a = b :=
iff.intro mem_singleton (begin intro h, simp [h] end)
theorem mem_of_mem_cons_of_mem {a b : α} {l : list α} : a ∈ b::l → b ∈ l → a ∈ l :=
assume ainbl binl, or.elim (eq_or_mem_of_mem_cons ainbl)
(assume : a = b, begin subst a, exact binl end)
(assume : a ∈ l, this)
theorem not_mem_append {a : α} {s t : list α} (h₁ : a ∉ s) (h₂ : a ∉ t) : a ∉ s++t :=
mt mem_append.1 $ not_or_of_not_and_not ⟨h₁, h₂⟩
theorem length_pos_of_mem {a : α} : ∀ {l : list α}, a ∈ l → 0 < length l
| (b::l) _ := zero_lt_succ _
theorem mem_split {a : α} {l : list α} (h : a ∈ l) : ∃ s t : list α, l = s ++ (a::t) :=
begin
induction l with b l ih; simp at h; cases h with h h,
{ subst h, exact ⟨[], l, rfl⟩ },
{ cases ih h with s e, cases e with t e,
subst l, exact ⟨b::s, t, rfl⟩ }
end
theorem mem_of_ne_of_mem {a y : α} {l : list α} (h₁ : a ≠ y) (h₂ : a ∈ y :: l) : a ∈ l :=
or.elim (eq_or_mem_of_mem_cons h₂) (λe, absurd e h₁) (λr, r)
theorem ne_of_not_mem_cons {a b : α} {l : list α} : a ∉ b::l → a ≠ b :=
assume nin aeqb, absurd (or.inl aeqb) nin
theorem not_mem_of_not_mem_cons {a b : α} {l : list α} : a ∉ b::l → a ∉ l :=
assume nin nainl, absurd (or.inr nainl) nin
theorem not_mem_cons_of_ne_of_not_mem {a y : α} {l : list α} : a ≠ y → a ∉ l → a ∉ y::l :=
assume p1 p2, not.intro (assume Pain, absurd (eq_or_mem_of_mem_cons Pain) (not_or p1 p2))
theorem ne_and_not_mem_of_not_mem_cons {a y : α} {l : list α} : a ∉ y::l → a ≠ y ∧ a ∉ l :=
assume p, and.intro (ne_of_not_mem_cons p) (not_mem_of_not_mem_cons p)
@[simp] theorem mem_reverse (a : α) (l : list α) : a ∈ reverse l ↔ a ∈ l :=
by induction l; simp [*]; rw mem_append_eq
theorem mem_map (f : α → β) {a : α} {l : list α} (h : a ∈ l) : f a ∈ map f l :=
begin
induction l with b l' ih,
{simp at h, contradiction },
{simp, simp at h, cases h with h h,
{simp [*]},
{exact or.inr (ih h)}}
end
theorem exists_of_mem_map {f : α → β} {b : β} {l : list α} (h : b ∈ map f l) : ∃ a, a ∈ l ∧ f a = b :=
begin
induction l with c l' ih,
{simp at h, contradiction},
{cases (eq_or_mem_of_mem_cons h) with h h,
{existsi c, simp [h]},
{cases ih h with a ha, cases ha with ha₁ ha₂,
existsi a, simp [*] }}
end
theorem mem_map_iff {f : α → β} {b : β} {l : list α} : b ∈ map f l ↔ ∃ a, a ∈ l ∧ f a = b :=
⟨exists_of_mem_map, λ ⟨a, la, h⟩, by rw [← h]; exact mem_map f la⟩
theorem mem_join_iff {a : α} : ∀ {L : list (list α)}, a ∈ join L ↔ ∃ l, l ∈ L ∧ a ∈ l
| [] := ⟨false.elim, λ⟨_, h, _⟩, false.elim h⟩
| (c :: L) := by simp [join, @mem_join_iff L]; exact
⟨λh, match h with
| or.inl ac := ⟨c, ac, or.inl rfl⟩
| or.inr ⟨l, al, lL⟩ := ⟨l, al, or.inr lL⟩
end,
λ⟨l, al, o⟩, o.elim (λ lc, by rw lc at al; exact or.inl al) (λlL, or.inr ⟨l, al, lL⟩)⟩
theorem exists_of_mem_join {a : α} {L : list (list α)} : a ∈ join L → ∃ l, l ∈ L ∧ a ∈ l :=
mem_join_iff.1
theorem mem_join {a : α} {L : list (list α)} {l} (lL : l ∈ L) (al : a ∈ l) : a ∈ join L :=
mem_join_iff.2 ⟨l, lL, al⟩
lemma mem_bind_iff {b : β} {l : list α} {f : α → list β} : b ∈ bind l f ↔ ∃ a ∈ l, b ∈ f a :=
iff.trans mem_join_iff
⟨λ ⟨l', h1, h2⟩, let ⟨a, al, fa⟩ := exists_of_mem_map h1 in ⟨a, al, fa.symm ▸ h2⟩,
λ ⟨a, al, bfa⟩, ⟨f a, mem_map _ al, bfa⟩⟩
lemma exists_of_mem_bind {b : β} {l : list α} {f : α → list β} : b ∈ bind l f → ∃ a ∈ l, b ∈ f a :=
mem_bind_iff.1
lemma mem_bind {b : β} {l : list α} {f : α → list β} {a} (al : a ∈ l) (h : b ∈ f a) : b ∈ bind l f :=
mem_bind_iff.2 ⟨a, al, h⟩
/- list subset -/
theorem subset_app_of_subset_left (l l₁ l₂ : list α) : l ⊆ l₁ → l ⊆ l₁++l₂ :=
λ s, subset.trans s $ subset_append_left _ _
theorem subset_app_of_subset_right (l l₁ l₂ : list α) : l ⊆ l₂ → l ⊆ l₁++l₂ :=
λ s, subset.trans s $ subset_append_right _ _
theorem cons_subset_of_subset_of_mem {a : α} {l m : list α} (ainm : a ∈ m) (lsubm : l ⊆ m) :
a::l ⊆ m :=
λ b, or_imp_iff_and_imp.2 ⟨λ e, e.symm ▸ ainm, @lsubm _⟩
theorem app_subset_of_subset_of_subset {l₁ l₂ l : list α} (l₁subl : l₁ ⊆ l) (l₂subl : l₂ ⊆ l) :
l₁ ++ l₂ ⊆ l :=
λ a h, (mem_append.1 h).elim (@l₁subl _) (@l₂subl _)
theorem eq_nil_of_subset_nil : ∀ {l : list α}, l ⊆ [] → l = []
| [] s := rfl
| (a::l) s := false.elim $ s $ mem_cons_self a l
/- sublists -/
@[simp] theorem nil_sublist : Π (l : list α), [] <+ l
| [] := sublist.slnil
| (a :: l) := sublist.cons _ _ a (nil_sublist l)
@[refl, simp] theorem sublist.refl : Π (l : list α), l <+ l
| [] := sublist.slnil
| (a :: l) := sublist.cons2 _ _ a (sublist.refl l)
@[trans] theorem sublist.trans {l₁ l₂ l₃ : list α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ :=
sublist.rec_on h₂ (λ_ s, s)
(λl₂ l₃ a h₂ IH l₁ h₁, sublist.cons _ _ _ (IH l₁ h₁))
(λl₂ l₃ a h₂ IH l₁ h₁, @sublist.cases_on _ (λl₁ l₂', l₂' = a :: l₂ → l₁ <+ a :: l₃) _ _ h₁
(λ_, nil_sublist _)
(λl₁ l₂' a' h₁' e, match a', l₂', e, h₁' with ._, ._, rfl, h₁ := sublist.cons _ _ _ (IH _ h₁) end)
(λl₁ l₂' a' h₁' e, match a', l₂', e, h₁' with ._, ._, rfl, h₁ := sublist.cons2 _ _ _ (IH _ h₁) end) rfl)
l₁ h₁
@[simp] theorem sublist_cons (a : α) (l : list α) : l <+ a::l :=
sublist.cons _ _ _ (sublist.refl l)
theorem sublist_of_cons_sublist {a : α} {l₁ l₂ : list α} : a::l₁ <+ l₂ → l₁ <+ l₂ :=
sublist.trans (sublist_cons a l₁)
theorem cons_sublist_cons {l₁ l₂ : list α} (a : α) (s : l₁ <+ l₂) : a::l₁ <+ a::l₂ :=
sublist.cons2 _ _ _ s
@[simp] theorem sublist_append_left : Π (l₁ l₂ : list α), l₁ <+ l₁++l₂
| [] l₂ := nil_sublist _
| (a::l₁) l₂ := cons_sublist_cons _ (sublist_append_left l₁ l₂)
@[simp] theorem sublist_append_right : Π (l₁ l₂ : list α), l₂ <+ l₁++l₂
| [] l₂ := sublist.refl _
| (a::l₁) l₂ := sublist.cons _ _ _ (sublist_append_right l₁ l₂)
theorem sublist_cons_of_sublist (a : α) {l₁ l₂ : list α} : l₁ <+ l₂ → l₁ <+ a::l₂ :=
sublist.cons _ _ _
theorem sublist_app_of_sublist_left (l l₁ l₂ : list α) (s : l <+ l₁) : l <+ l₁++l₂ :=
s.trans $ sublist_append_left _ _
theorem sublist_app_of_sublist_right (l l₁ l₂ : list α) (s : l <+ l₂) : l <+ l₁++l₂ :=
s.trans $ sublist_append_right _ _
theorem sublist_of_cons_sublist_cons {l₁ l₂ : list α} : ∀ {a : α}, a::l₁ <+ a::l₂ → l₁ <+ l₂
| ._ (sublist.cons ._ ._ a s) := sublist_of_cons_sublist s
| ._ (sublist.cons2 ._ ._ a s) := s
theorem subset_of_sublist : Π {l₁ l₂ : list α}, l₁ <+ l₂ → l₁ ⊆ l₂
| ._ ._ sublist.slnil b h := h
| ._ ._ (sublist.cons l₁ l₂ a s) b h := mem_cons_of_mem _ (subset_of_sublist s h)
| ._ ._ (sublist.cons2 l₁ l₂ a s) b h :=
match eq_or_mem_of_mem_cons h with
| or.inl h := h ▸ mem_cons_self _ _
| or.inr h := mem_cons_of_mem _ (subset_of_sublist s h)
end
theorem eq_nil_of_sublist_nil {l : list α} (s : l <+ []) : l = [] :=
eq_nil_of_subset_nil $ subset_of_sublist s
theorem eq_nil_of_map_eq_nil {f : α → β} {l :list α} (h : map f l = nil) : l = nil :=
eq_nil_of_length_eq_zero (begin rw [← length_map f l], simp [h] end)
theorem eq_of_map_const {b₁ b₂ : β} {l : list α} (h : b₁ ∈ map (function.const α b₂) l) : b₁ = b₂ :=
let ⟨a, _, e⟩ := exists_of_mem_map h in e.symm
/- index_of -/
section index_of
variable [decidable_eq α]
@[simp] theorem index_of_nil (a : α) : index_of a [] = 0 := rfl
theorem index_of_cons (a b : α) (l : list α) : index_of a (b::l) = if a = b then 0 else succ (index_of a l) := rfl
theorem index_of_cons_eq {a b : α} (l : list α) : a = b → index_of a (b::l) = 0 :=
assume e, if_pos e
@[simp] theorem index_of_cons_self (a : α) (l : list α) : index_of a (a::l) = 0 :=
index_of_cons_eq _ rfl
@[simp] theorem index_of_cons_ne {a b : α} (l : list α) : a ≠ b → index_of a (b::l) = succ (index_of a l) :=
assume n, if_neg n
theorem index_of_eq_length {a : α} {l : list α} : index_of a l = length l ↔ a ∉ l :=
begin
induction l with b l ih; simp [not_or_iff, -add_comm],
by_cases a = b with h; simp [h, -add_comm],
{ intro, contradiction },
{ rw ← ih, exact ⟨succ_inj, congr_arg _⟩ }
end
@[simp] theorem index_of_of_not_mem {l : list α} {a : α} : a ∉ l → index_of a l = length l :=
index_of_eq_length.2
theorem index_of_le_length {a : α} {l : list α} : index_of a l ≤ length l :=
begin
induction l with b l ih; simp [-add_comm, index_of_cons],
by_cases a = b with h; simp [h, -add_comm, zero_le],
exact succ_le_succ ih
end
theorem index_of_lt_length {a} {l : list α} : index_of a l < length l ↔ a ∈ l :=
⟨λh, by_contradiction $ λ al, ne_of_lt h $ index_of_eq_length.2 al,
λal, lt_of_le_of_ne index_of_le_length $ λ h, index_of_eq_length.1 h al⟩
end index_of
/- nth element -/
theorem nth_le_nth : Π (l : list α) (n h), nth l n = some (nth_le l n h)
| [] n h := absurd h (not_lt_zero n)
| (a :: l) 0 h := rfl
| (a :: l) (n+1) h := nth_le_nth l n _
theorem nth_ge_len : Π (l : list α) (n), n ≥ length l → nth l n = none
| [] n h := rfl
| (a :: l) 0 h := absurd h (not_lt_zero _)
| (a :: l) (n+1) h := nth_ge_len l n (le_of_succ_le_succ h)
theorem ext : Π {l₁ l₂ : list α}, (∀n, nth l₁ n = nth l₂ n) → l₁ = l₂
| [] [] h := rfl
| (a::l₁) [] h := by have h0 := h 0; contradiction
| [] (a'::l₂) h := by have h0 := h 0; contradiction
| (a::l₁) (a'::l₂) h := by have h0 : some a = some a' := h 0; injection h0 with aa; simp [*, ext (λn, h (n+1))]
theorem ext_le {l₁ l₂ : list α} (hl : length l₁ = length l₂) (h : ∀n h₁ h₂, nth_le l₁ n h₁ = nth_le l₂ n h₂) : l₁ = l₂ :=
ext $ λn, if h₁ : n < length l₁
then by rw [nth_le_nth, nth_le_nth, h n h₁ (by rwa [← hl])]
else let h₁ := le_of_not_gt h₁ in by rw [nth_ge_len _ _ h₁, nth_ge_len _ _ (by rwa [← hl])]
@[simp] theorem index_of_nth_le [decidable_eq α] {a : α} : ∀ {l : list α} h, nth_le l (index_of a l) h = a
| (b::l) h := by by_cases a = b with h'; simp *
@[simp] theorem index_of_nth [decidable_eq α] {a : α} {l : list α} (h : a ∈ l) : nth l (index_of a l) = some a :=
by rw [nth_le_nth, index_of_nth_le (index_of_lt_length.2 h)]
theorem nth_le_reverse_aux1 : Π (l r : list α) (i h1 h2), nth_le (reverse_core l r) (i + length l) h1 = nth_le r i h2
| [] r i := λh1 h2, rfl
| (a :: l) r i := by rw (show i + length (a :: l) = i + 1 + length l, by simp); exact
λh1 h2, nth_le_reverse_aux1 l (a :: r) (i+1) h1 (succ_lt_succ h2)
theorem nth_le_reverse_aux2 : Π (l r : list α) (i : nat) (h1) (h2),
nth_le (reverse_core l r) (length l - 1 - i) h1 = nth_le l i h2
| [] r i h1 h2 := absurd h2 (not_lt_zero _)
| (a :: l) r 0 h1 h2 := begin
have aux := nth_le_reverse_aux1 l (a :: r) 0,
rw zero_add at aux,
exact aux _ (zero_lt_succ _)
end
| (a :: l) r (i+1) h1 h2 := begin
have aux := nth_le_reverse_aux2 l (a :: r) i,
have heq := calc length (a :: l) - 1 - (i + 1)
= length l - (1 + i) : by rw add_comm; refl
... = length l - 1 - i : by rw nat.sub_sub,
rw [← heq] at aux,
apply aux
end
@[simp] theorem nth_le_reverse (l : list α) (i : nat) (h1 h2) :
nth_le (reverse l) (length l - 1 - i) h1 = nth_le l i h2 :=
nth_le_reverse_aux2 _ _ _ _ _
def to_array (l : list α) : array α l.length :=
{data := λ v, l.nth_le v.1 v.2}
def inth [h : inhabited α] (l : list α) (n : nat) : α := (nth l n).iget
attribute [simp] inth
/- take, drop -/
@[simp] theorem take_zero : ∀ (l : list α), take 0 l = [] :=
begin intros, reflexivity end
@[simp] theorem take_nil : ∀ n, take n [] = ([] : list α)
| 0 := rfl
| (n+1) := rfl
theorem take_cons (n) (a : α) (l : list α) : take (succ n) (a::l) = a :: take n l := rfl
theorem take_all : ∀ (l : list α), take (length l) l = l
| [] := rfl
| (a::l) := begin change a :: (take (length l) l) = a :: l, rw take_all end
theorem take_all_of_ge : ∀ {n} {l : list α}, n ≥ length l → take n l = l
| 0 [] h := rfl
| 0 (a::l) h := absurd h (not_le_of_gt (zero_lt_succ _))
| (n+1) [] h := rfl
| (n+1) (a::l) h :=
begin
change a :: take n l = a :: l,
rw [take_all_of_ge (le_of_succ_le_succ h)]
end
theorem take_take : ∀ (n m) (l : list α), take n (take m l) = take (min n m) l
| n 0 l := by rw [min_zero, take_zero, take_nil]
| 0 m l := by simp
| (succ n) (succ m) nil := by simp
| (succ n) (succ m) (a::l) := by simp [min_succ_succ, take_take]
/- take_while -/
def take_while (p : α → Prop) [decidable_pred p] : list α → list α
| [] := []
| (a::l) := if p a then a :: take_while l else []
/- find -/
def find (p : α → Prop) [decidable_pred p] : list α → option α
| [] := none
| (a::l) := if p a then some a else find l
def find_indexes_aux (p : α → Prop) [decidable_pred p] : list α → nat → list nat
| [] n := []
| (a::l) n := let t := find_indexes_aux l (succ n) in if p a then n :: t else t
def find_indexes (p : α → Prop) [decidable_pred p] (l : list α) : list nat :=
find_indexes_aux p l 0
def indexes_of [decidable_eq α] (a : α) : list α → list nat := find_indexes (eq a)
/- foldl, foldr, scanl, scanr -/
attribute [simp] foldl foldr
@[simp] lemma foldr_eta : ∀ (l : list α), foldr cons [] l = l
| [] := rfl
| (x::l) := by simp [foldr_eta l]
def scanl (f : α → β → α) : α → list β → list α
| a [] := [a]
| a (b::l) := a :: scanl (f a b) l
def scanr_aux (f : α → β → β) (b : β) : list α → β × list β
| [] := (b, [])
| (a::l) := let (b', l') := scanr_aux l in (f a b', b' :: l')
def scanr (f : α → β → β) (b : β) (l : list α) : list β :=
let (b', l') := scanr_aux f b l in b' :: l'
@[simp] lemma scanr_nil (f : α → β → β) (b : β) : scanr f b [] = [b] := rfl
@[simp] lemma scanr_aux_cons (f : α → β → β) (b : β) : ∀ (a : α) (l : list α),
scanr_aux f b (a::l) = (foldr f b (a::l), scanr f b l)
| a [] := rfl
| a (x::l) := let t := scanr_aux_cons x l in
by simp [scanr, scanr_aux] at t; simp [scanr, scanr_aux, t]
@[simp] lemma scanr_cons (f : α → β → β) (b : β) (a : α) (l : list α) :
scanr f b (a::l) = foldr f b (a::l) :: scanr f b l :=
by simp [scanr]
/- sum -/
def sum [has_add α] [has_zero α] : list α → α :=
foldl (+) 0
/- filter -/
@[simp] theorem filter_subset {p : α → Prop} [h : decidable_pred p] (l : list α) : filter p l ⊆ l :=
subset_of_sublist $ filter_sublist l
theorem of_mem_filter {p : α → Prop} [h : decidable_pred p] {a : α} : ∀ {l}, a ∈ filter p l → p a
| [] ain := absurd ain (not_mem_nil a)
| (b::l) ain :=
if pb : p b then
have a ∈ b :: filter p l, begin simp [pb] at ain, assumption end,
or.elim (eq_or_mem_of_mem_cons this)
(assume : a = b, begin rw [← this] at pb, exact pb end)
(assume : a ∈ filter p l, of_mem_filter this)
else
begin simp [pb] at ain, exact (of_mem_filter ain) end
theorem mem_of_mem_filter {p : α → Prop} [h : decidable_pred p] {a : α}
{l} (h : a ∈ filter p l) : a ∈ l :=
filter_subset l h
theorem mem_filter_of_mem {p : α → Prop} [h : decidable_pred p] {a : α} :
∀ {l}, a ∈ l → p a → a ∈ filter p l
| [] ain pa := absurd ain (not_mem_nil a)
| (b::l) ain pa :=
if pb : p b then
or.elim (eq_or_mem_of_mem_cons ain)
(assume : a = b, by simp [pb, this])
(assume : a ∈ l, begin simp [pb], exact (mem_cons_of_mem _ (mem_filter_of_mem this pa)) end)
else
or.elim (eq_or_mem_of_mem_cons ain)
(assume : a = b, begin simp [this] at pa, contradiction end) --absurd (this ▸ pa) pb)
(assume : a ∈ l, by simp [pa, pb, mem_filter_of_mem this])
@[simp] lemma span_eq_take_drop (p : α → Prop) [decidable_pred p] : ∀ (l : list α), span p l = (take_while p l, drop_while p l)
| [] := rfl
| (a::l) := by by_cases p a with pa; simp [span, take_while, drop_while, pa, span_eq_take_drop l]
@[simp] lemma take_while_append_drop (p : α → Prop) [decidable_pred p] : ∀ (l : list α), take_while p l ++ drop_while p l = l
| [] := rfl
| (a::l) := by by_cases p a with pa; simp [take_while, drop_while, pa, take_while_append_drop l]
/- count -/
section count
variable [decidable_eq α]
def count (a : α) : list α → nat
| [] := 0
| (x::xs) := if a = x then succ (count xs) else count xs
@[simp] theorem count_nil (a : α) : count a [] = 0 := rfl
theorem count_cons (a b : α) (l : list α) :
count a (b :: l) = if a = b then succ (count a l) else count a l := rfl
theorem count_cons' (a b : α) (l : list α) :
count a (b :: l) = count a l + (if a = b then 1 else 0) :=
decidable.by_cases
(assume : a = b, begin rw [count_cons, if_pos this, if_pos this] end)
(assume : a ≠ b, begin rw [count_cons, if_neg this, if_neg this], reflexivity end)
@[simp] theorem count_cons_self (a : α) (l : list α) : count a (a::l) = succ (count a l) :=
if_pos rfl
@[simp] theorem count_cons_of_ne {a b : α} (h : a ≠ b) (l : list α) : count a (b::l) = count a l :=
if_neg h
theorem count_cons_ge_count (a b : α) (l : list α) : count a (b :: l) ≥ count a l :=
decidable.by_cases
(assume : a = b, begin subst b, rw count_cons_self, apply le_succ end)
(assume : a ≠ b, begin rw (count_cons_of_ne this), apply le_refl end)
-- TODO(Jeremy): without the reflexivity, this yields the goal "1 = 1". the first is from has_one,
-- the second is succ 0. Make sure the simplifier can eventually handle this.
theorem count_singleton (a : α) : count a [a] = 1 :=
by simp
@[simp] theorem count_append (a : α) : ∀ l₁ l₂, count a (l₁ ++ l₂) = count a l₁ + count a l₂
| [] l₂ := begin rw [nil_append, count_nil, zero_add] end
| (b::l₁) l₂ := decidable.by_cases
(assume : a = b, by rw [←this, cons_append, count_cons_self, count_cons_self, succ_add,
count_append])
(assume : a ≠ b, by rw [cons_append, count_cons_of_ne this, count_cons_of_ne this, count_append])
@[simp] theorem count_concat (a : α) (l : list α) : count a (concat l a) = succ (count a l) :=
by rw [concat_eq_append, count_append, count_singleton]
theorem mem_of_count_pos : ∀ {a : α} {l : list α}, count a l > 0 → a ∈ l
| a [] h := absurd h (lt_irrefl _)
| a (b::l) h := decidable.by_cases
(assume : a = b, begin subst b, apply mem_cons_self end)
(assume : a ≠ b,
have count a l > 0, begin rw [count_cons_of_ne this] at h, exact h end,
have a ∈ l, from mem_of_count_pos this,
show a ∈ b::l, from mem_cons_of_mem _ this)
theorem count_pos_of_mem : ∀ {a : α} {l : list α}, a ∈ l → count a l > 0
| a [] h := absurd h (not_mem_nil _)
| a (b::l) h := or.elim h
(assume : a = b, begin subst b, rw count_cons_self, apply zero_lt_succ end)
(assume : a ∈ l, calc
count a (b::l) ≥ count a l : count_cons_ge_count _ _ _
... > 0 : count_pos_of_mem this)
theorem mem_iff_count_pos (a : α) (l : list α) : a ∈ l ↔ count a l > 0 :=
iff.intro count_pos_of_mem mem_of_count_pos
@[simp] theorem count_eq_zero_of_not_mem {a : α} {l : list α} (h : a ∉ l) : count a l = 0 :=
have ∀ n, count a l = n → count a l = 0,
begin
intro n, cases n,
{ intro this, exact this },
intro this, exact absurd (mem_of_count_pos (begin rw this, exact dec_trivial end)) h
end,
this (count a l) rfl
theorem not_mem_of_count_eq_zero {a : α} {l : list α} (h : count a l = 0) : a ∉ l :=
assume : a ∈ l,
have count a l > 0, from count_pos_of_mem this,
show false, begin rw h at this, exact nat.not_lt_zero _ this end
end count
/- prefix, suffix, infix -/
def is_prefix (l₁ : list α) (l₂ : list α) : Prop := ∃ t, l₁ ++ t = l₂
def is_suffix (l₁ : list α) (l₂ : list α) : Prop := ∃ t, t ++ l₁ = l₂
def is_infix (l₁ : list α) (l₂ : list α) : Prop := ∃ s t, s ++ l₁ ++ t = l₂
infix ` <+: `:50 := is_prefix
infix ` <:+ `:50 := is_suffix
infix ` <:+: `:50 := is_infix
lemma prefix_append (l₁ l₂ : list α) : l₁ <+: l₁ ++ l₂ := ⟨l₂, rfl⟩
lemma suffix_append (l₁ l₂ : list α) : l₂ <:+ l₁ ++ l₂ := ⟨l₁, rfl⟩
lemma infix_append (l₁ l₂ l₃ : list α) : l₂ <:+: l₁ ++ l₂ ++ l₃ := ⟨l₁, l₃, rfl⟩
lemma prefix_refl (l : list α) : l <+: l := ⟨[], append_nil _⟩
lemma suffix_refl (l : list α) : l <:+ l := ⟨[], rfl⟩
lemma infix_of_prefix {l₁ l₂ : list α} : l₁ <+: l₂ → l₁ <:+: l₂ :=
λ⟨t, h⟩, ⟨[], t, h⟩
lemma infix_of_suffix {l₁ l₂ : list α} : l₁ <:+ l₂ → l₁ <:+: l₂ :=
λ⟨t, h⟩, ⟨t, [], by simp [h]⟩
lemma infix_refl (l : list α) : l <:+: l := infix_of_prefix $ prefix_refl l
lemma sublist_of_infix {l₁ l₂ : list α} : l₁ <:+: l₂ → l₁ <+ l₂ :=
λ⟨s, t, h⟩, by rw [← h]; exact (sublist_append_right _ _).trans (sublist_append_left _ _)
lemma length_le_of_infix {l₁ l₂ : list α} (s : l₁ <:+: l₂) : length l₁ ≤ length l₂ :=
length_le_of_sublist $ sublist_of_infix s
lemma eq_nil_of_infix_nil {l : list α} (s : l <:+: []) : l = [] :=
eq_nil_of_sublist_nil $ sublist_of_infix s
lemma eq_nil_of_prefix_nil {l : list α} (s : l <+: []) : l = [] :=
eq_nil_of_infix_nil $ infix_of_prefix s
lemma eq_nil_of_suffix_nil {l : list α} (s : l <:+ []) : l = [] :=
eq_nil_of_infix_nil $ infix_of_suffix s
lemma infix_iff_prefix_suffix (l₁ l₂ : list α) : l₁ <:+: l₂ ↔ ∃ t, l₁ <+: t ∧ t <:+ l₂ :=
⟨λ⟨s, t, e⟩, ⟨l₁ ++ t, ⟨_, rfl⟩, by rw [← e, append_assoc]; exact ⟨_, rfl⟩⟩,
λ⟨._, ⟨t, rfl⟩, ⟨s, e⟩⟩, ⟨s, t, by rw append_assoc; exact e⟩⟩
def inits : list α → list (list α)
| [] := [[]]
| (a::l) := [] :: map (λt, a::t) (inits l)
attribute [simp] inits
local infixr :: := list.cons -- temporary hack to fix overload issue
@[simp] lemma mem_inits : ∀ (s t : list α), s ∈ inits t ↔ s <+: t
| s [] := by simp; exact ⟨λh, by rw h; exact prefix_refl [], eq_nil_of_prefix_nil⟩
| s (a::t) := by simp; exact ⟨λo, match s, o with
| ._, or.inl rfl := ⟨_, rfl⟩
| s, or.inr mm := let ⟨r, hr, hs⟩ := exists_of_mem_map mm, ⟨s, ht⟩ := (mem_inits _ _).1 hr in
by rw [← hs, ← ht]; exact ⟨s, rfl⟩
end, λmi, match s, mi with
| [], ⟨._, rfl⟩ := or.inl rfl
| (b::s), ⟨r, hr⟩ := list.no_confusion hr $ λba st, or.inr $
by rw ba; exact mem_map _ ((mem_inits _ _).2 ⟨_, st⟩)
end⟩
def tails : list α → list (list α)
| [] := [[]]
| (a::l) := (a::l) :: tails l
attribute [simp] tails
@[simp] lemma mem_tails : ∀ (s t : list α), s ∈ tails t ↔ s <:+ t
| s [] := by simp; exact ⟨λh, by rw h; exact suffix_refl [], eq_nil_of_suffix_nil⟩
| s (a::t) := by simp [mem_tails s t]; exact show s <:+ t ∨ s = a :: t ↔ s <:+ a :: t, from
⟨λo, match s, t, o with
| s, ._, or.inl ⟨l, rfl⟩ := ⟨a::l, rfl⟩
| ._, t, or.inr rfl := suffix_refl _
end, λe, match s, t, e with
| ._, t, ⟨[], rfl⟩ := or.inr rfl
| s, t, ⟨b::l, he⟩ := list.no_confusion he (λab lt, or.inl ⟨l, lt⟩)
end⟩
def sublists_aux : list α → (list α → list β → list β) → list β
| [] f := []
| (a::l) f := f [a] (sublists_aux l (λys r, f ys (f (a :: ys) r)))
def sublists (l : list α) : list (list α) :=
[] :: sublists_aux l cons
lemma sublists_aux_eq_foldl : ∀ (l : list α) {β : Type u} (f : list α → list β → list β),
sublists_aux l f = foldr f [] (sublists_aux l cons)
| [] β f := rfl
| (a::l) β f := suffices ∀ t, foldr (λ ys r, f ys (f (a :: ys) r)) [] t =
foldr f [] (t.foldr (λ ys r, ys :: (a :: ys) :: r) nil),
by simp [sublists_aux]; rw [sublists_aux_eq_foldl l, sublists_aux_eq_foldl l (λ ys r, ys :: (a :: ys) :: r), this],
λt, by induction t; simp; simp [ih_1]
lemma sublists_aux_cons_cons (l : list α) (a : α) :
sublists_aux (a::l) cons = [a] :: foldr (λys r, ys :: (a :: ys) :: r) [] (sublists_aux l cons) :=
by rw [← sublists_aux_eq_foldl]; refl
@[simp] lemma mem_sublists (s t : list α) : s ∈ sublists t ↔ s <+ t :=
by simp [sublists]; exact
⟨λm, let good := λ (l : list (list α)), ∀ s ∈ l, s <+ t in
suffices ∀ l (f : list α → list (list α) → list (list α)),
(∀ {x y}, x <+ l → good y → good (f x y)) → l <+ t → good (sublists_aux l f), from
or.elim m (λe, by rw e; apply nil_sublist)
(this t cons (λ x y hx hy s m, by exact or.elim m (λe, by rw e; exact hx) (hy s)) (sublist.refl _) s),
begin
intro l; induction l with a l IH; intros f al sl x m,
exact false.elim m,
refine al (cons_sublist_cons a (nil_sublist _)) _ _ m,
exact λs hs, IH _ (λx y hx hy, al (sublist_cons_of_sublist _ hx) (al (cons_sublist_cons _ hx) hy))
(sublist_of_cons_sublist sl) _ hs
end,
λsl, begin
have this : ∀ {a : α} {y t}, y ∈ t → y ∈ foldr (λ ys r, ys :: (a :: ys) :: r) nil t
∧ a :: y ∈ foldr (λ ys r, ys :: (a :: ys) :: r) nil t,
{ intros a y t yt, induction t with x t IH, exact absurd yt (not_mem_nil _),
simp, simp at yt, cases yt with yx yt,
{ rw yx, exact ⟨or.inl rfl, or.inr $ or.inl rfl⟩ },
{ cases IH yt with h1 h2,
exact ⟨or.inr $ or.inr h1, or.inr $ or.inr h2⟩ } },
induction sl with l₁ l₂ a sl IH l₁ l₂ a sl IH, exact or.inl rfl,
{ refine or.imp_right (λh, _) IH,
rw sublists_aux_cons_cons,
exact mem_cons_of_mem _ (this h).left },
{ refine or.inr _,
rw sublists_aux_cons_cons, simp,
refine or.imp (λ(h : l₁ = []), by rw h) (λh, _) IH,
exact (this h).right },
end⟩
instance decidable_prefix [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <+: l₂)
| [] l₂ := is_true ⟨l₂, rfl⟩
| (a::l₁) [] := is_false $ λ⟨t, te⟩, list.no_confusion te
| (a::l₁) (b::l₂) :=
if h : a = b then
decidable_of_decidable_of_iff (decidable_prefix l₁ l₂) $ by rw [← h]; exact
⟨λ⟨t, te⟩, ⟨t, by rw [← te]; refl⟩,
λ⟨t, te⟩, list.no_confusion te (λ_ te, ⟨t, te⟩)⟩
else
is_false $ λ⟨t, te⟩, list.no_confusion te $ λh', absurd h' h
-- Alternatively, use mem_tails
instance decidable_suffix [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <:+ l₂)
| [] l₂ := is_true ⟨l₂, append_nil _⟩
| (a::l₁) [] := is_false $ λ⟨t, te⟩, absurd te $
append_ne_nil_of_ne_nil_right _ _ $ λh, list.no_confusion h
| l₁ l₂ := let len1 := length l₁, len2 := length l₂ in
if hl : len1 ≤ len2 then
if he : drop (len2 - len1) l₂ = l₁ then is_true $
⟨take (len2 - len1) l₂, by rw [← he, take_append_drop]⟩
else is_false $
suffices length l₁ ≤ length l₂ → l₁ <:+ l₂ → drop (length l₂ - length l₁) l₂ = l₁,
from λsuf, he (this hl suf),
λ hl ⟨t, te⟩, and.right $
append_right_inj (eq.trans (take_append_drop (length l₂ - length l₁) l₂) te.symm) $
by simp; exact nat.sub_sub_self hl
else is_false $ λ⟨t, te⟩, hl $
show length l₁ ≤ length l₂, by rw [← te, length_append]; apply nat.le_add_left
instance decidable_infix [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <:+: l₂)
| [] l₂ := is_true ⟨[], l₂, rfl⟩
| (a::l₁) [] := is_false $ λ⟨s, t, te⟩, absurd te $ append_ne_nil_of_ne_nil_left _ _ $
append_ne_nil_of_ne_nil_right _ _ $ λh, list.no_confusion h
| l₁ l₂ := decidable_of_decidable_of_iff (list.decidable_bex (λt, l₁ <+: t) (tails l₂)) $
by refine (exists_congr (λt, _)).trans (infix_iff_prefix_suffix _ _).symm;
exact ⟨λ⟨h1, h2⟩, ⟨h2, (mem_tails _ _).1 h1⟩, λ⟨h2, h1⟩, ⟨(mem_tails _ _).2 h1, h2⟩⟩
instance decidable_sublist [decidable_eq α] : ∀ (l₁ l₂ : list α), decidable (l₁ <+ l₂)
| [] l₂ := is_true $ nil_sublist _
| (a::l₁) [] := is_false $ λh, list.no_confusion $ eq_nil_of_sublist_nil h
| (a::l₁) (b::l₂) :=
if h : a = b then
decidable_of_decidable_of_iff (decidable_sublist l₁ l₂) $
by rw [← h]; exact ⟨cons_sublist_cons _, sublist_of_cons_sublist_cons⟩
else decidable_of_decidable_of_iff (decidable_sublist (a::l₁) l₂)
⟨sublist_cons_of_sublist _, λs, match a, l₁, s, h with
| a, l₁, sublist.cons ._ ._ ._ s', h := s'
| ._, ._, sublist.cons2 t ._ ._ s', h := absurd rfl h
end⟩
/- transpose -/
def transpose_aux : list α → list (list α) → list (list α)
| [] ls := ls
| (a::i) [] := [a] :: transpose_aux i []
| (a::i) (l::ls) := (a::l) :: transpose_aux i ls
def transpose : list (list α) → list (list α)
| [] := []
| (l::ls) := transpose_aux l (transpose ls)
/- permutations -/
def permutations_aux2 (t : α) (ts : list α) : list α → (list α → β) → list β → list α × list β
| [] f r := (ts, r)
| (y::ys) f r := let (us, zs) := permutations_aux2 ys (λx : list α, f (y::x)) r in
(y :: us, f (t :: y :: us) :: zs)
private def meas : list α × list α → ℕ × ℕ | (l, i) := (length l + length i, length l)
local infix ` ≺ `:50 := inv_image (prod.lex (<) (<)) meas
def permutations_aux.F : Π (x : list α × list α), (Π (y : list α × list α), y ≺ x → list (list α)) → list (list α)
| ([], is) IH := []
| (t::ts, is) IH :=
have h1 : (ts, t :: is) ≺ (t :: ts, is), from
show prod.lex _ _ (succ (length ts + length is), length ts) (succ (length ts) + length is, length (t :: ts)),
by rw nat.succ_add; exact prod.lex.right _ _ (lt_succ_self _),
have h2 : (is, []) ≺ (t :: ts, is), from prod.lex.left _ _ _ (lt_add_of_pos_left _ (succ_pos _)),
foldr (λy r, (permutations_aux2 t ts y id r).2) (IH (ts, t::is) h1) (is :: IH (is, []) h2)
def permutations_aux : list α × list α → list (list α) :=
well_founded.fix (inv_image.wf meas (prod.lex_wf lt_wf lt_wf)) permutations_aux.F
def permutations (l : list α) : list (list α) :=
l :: permutations_aux (l, [])
def permutations_aux.eqn_1 (is : list α) : permutations_aux ([], is) = [] :=
well_founded.fix_eq _ _ _
def permutations_aux.eqn_2 (t : α) (ts is) : permutations_aux (t::ts, is) =
foldr (λy r, (permutations_aux2 t ts y id r).2) (permutations_aux (ts, t::is)) (permutations is) :=
well_founded.fix_eq _ _ _
end list
|
2b250a3deaf87e531cc16ebdf5da7c1b8195c7df | 8b9f17008684d796c8022dab552e42f0cb6fb347 | /library/data/num.lean | 0209b937ddae5f9fe9d3e0dbc2d2de75167639ae | [
"Apache-2.0"
] | permissive | chubbymaggie/lean | 0d06ae25f9dd396306fb02190e89422ea94afd7b | d2c7b5c31928c98f545b16420d37842c43b4ae9a | refs/heads/master | 1,611,313,622,901 | 1,430,266,839,000 | 1,430,267,083,000 | null | 0 | 0 | null | null | null | null | UTF-8 | Lean | false | false | 17,770 | lean | /-
Copyright (c) 2014 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Module: data.num
Author: Leonardo de Moura
-/
import data.bool tools.helper_tactics
open bool eq.ops decidable helper_tactics
namespace pos_num
theorem succ_not_is_one (a : pos_num) : is_one (succ a) = ff :=
pos_num.induction_on a rfl (take n iH, rfl) (take n iH, rfl)
theorem succ_one : succ one = bit0 one
theorem succ_bit1 (a : pos_num) : succ (bit1 a) = bit0 (succ a)
theorem succ_bit0 (a : pos_num) : succ (bit0 a) = bit1 a
theorem ne_of_bit0_ne_bit0 {a b : pos_num} (H₁ : bit0 a ≠ bit0 b) : a ≠ b :=
assume H : a = b,
absurd rfl (H ▸ H₁)
theorem ne_of_bit1_ne_bit1 {a b : pos_num} (H₁ : bit1 a ≠ bit1 b) : a ≠ b :=
assume H : a = b,
absurd rfl (H ▸ H₁)
theorem pred_succ : ∀ (a : pos_num), pred (succ a) = a
| one := rfl
| (bit0 a) := by rewrite succ_bit0
| (bit1 a) :=
calc
pred (succ (bit1 a)) = cond (is_one (succ a)) one (bit1 (pred (succ a))) : rfl
... = cond ff one (bit1 (pred (succ a))) : succ_not_is_one
... = bit1 (pred (succ a)) : rfl
... = bit1 a : pred_succ a
section
variables (a b : pos_num)
theorem one_add_one : one + one = bit0 one
theorem one_add_bit0 : one + (bit0 a) = bit1 a
theorem one_add_bit1 : one + (bit1 a) = succ (bit1 a)
theorem bit0_add_one : (bit0 a) + one = bit1 a
theorem bit1_add_one : (bit1 a) + one = succ (bit1 a)
theorem bit0_add_bit0 : (bit0 a) + (bit0 b) = bit0 (a + b)
theorem bit0_add_bit1 : (bit0 a) + (bit1 b) = bit1 (a + b)
theorem bit1_add_bit0 : (bit1 a) + (bit0 b) = bit1 (a + b)
theorem bit1_add_bit1 : (bit1 a) + (bit1 b) = succ (bit1 (a + b))
theorem one_mul : one * a = a
end
theorem mul_one : ∀ a, a * one = a
| one := rfl
| (bit1 n) :=
calc bit1 n * one = bit0 (n * one) + one : rfl
... = bit0 n + one : mul_one n
... = bit1 n : bit0_add_one
| (bit0 n) :=
calc bit0 n * one = bit0 (n * one) : rfl
... = bit0 n : mul_one n
theorem decidable_eq [instance] : ∀ (a b : pos_num), decidable (a = b)
| one one := inl rfl
| one (bit0 b) := inr (λ H, pos_num.no_confusion H)
| one (bit1 b) := inr (λ H, pos_num.no_confusion H)
| (bit0 a) one := inr (λ H, pos_num.no_confusion H)
| (bit0 a) (bit0 b) :=
match decidable_eq a b with
| inl H₁ := inl (eq.rec_on H₁ rfl)
| inr H₁ := inr (λ H, pos_num.no_confusion H (λ H₂, absurd H₂ H₁))
end
| (bit0 a) (bit1 b) := inr (λ H, pos_num.no_confusion H)
| (bit1 a) one := inr (λ H, pos_num.no_confusion H)
| (bit1 a) (bit0 b) := inr (λ H, pos_num.no_confusion H)
| (bit1 a) (bit1 b) :=
match decidable_eq a b with
| inl H₁ := inl (eq.rec_on H₁ rfl)
| inr H₁ := inr (λ H, pos_num.no_confusion H (λ H₂, absurd H₂ H₁))
end
local notation a < b := (lt a b = tt)
local notation a `≮`:50 b:50 := (lt a b = ff)
theorem lt_one_right_eq_ff : ∀ a : pos_num, a ≮ one
| one := rfl
| (bit0 a) := rfl
| (bit1 a) := rfl
theorem lt_one_succ_eq_tt : ∀ a : pos_num, one < succ a
| one := rfl
| (bit0 a) := rfl
| (bit1 a) := rfl
theorem lt_of_lt_bit0_bit0 {a b : pos_num} (H : bit0 a < bit0 b) : a < b := H
theorem lt_of_lt_bit0_bit1 {a b : pos_num} (H : bit1 a < bit0 b) : a < b := H
theorem lt_of_lt_bit1_bit1 {a b : pos_num} (H : bit1 a < bit1 b) : a < b := H
theorem lt_of_lt_bit1_bit0 {a b : pos_num} (H : bit0 a < bit1 b) : a < succ b := H
theorem lt_bit0_bit0_eq_lt (a b : pos_num) : lt (bit0 a) (bit0 b) = lt a b :=
rfl
theorem lt_bit1_bit1_eq_lt (a b : pos_num) : lt (bit1 a) (bit1 b) = lt a b :=
rfl
theorem lt_bit1_bit0_eq_lt (a b : pos_num) : lt (bit1 a) (bit0 b) = lt a b :=
rfl
theorem lt_bit0_bit1_eq_lt_succ (a b : pos_num) : lt (bit0 a) (bit1 b) = lt a (succ b) :=
rfl
theorem lt_irrefl : ∀ (a : pos_num), a ≮ a
| one := rfl
| (bit0 a) :=
begin
rewrite lt_bit0_bit0_eq_lt, apply lt_irrefl
end
| (bit1 a) :=
begin
rewrite lt_bit1_bit1_eq_lt, apply lt_irrefl
end
theorem ne_of_lt_eq_tt : ∀ {a b : pos_num}, a < b → a = b → false
| one ⌞one⌟ H₁ (eq.refl one) := absurd H₁ ff_ne_tt
| (bit0 a) ⌞(bit0 a)⌟ H₁ (eq.refl (bit0 a)) :=
begin
rewrite lt_bit0_bit0_eq_lt at H₁,
apply (ne_of_lt_eq_tt H₁ (eq.refl a))
end
| (bit1 a) ⌞(bit1 a)⌟ H₁ (eq.refl (bit1 a)) :=
begin
rewrite lt_bit1_bit1_eq_lt at H₁,
apply (ne_of_lt_eq_tt H₁ (eq.refl a))
end
theorem lt_base : ∀ a : pos_num, a < succ a
| one := rfl
| (bit0 a) :=
begin
rewrite [succ_bit0, lt_bit0_bit1_eq_lt_succ],
apply lt_base
end
| (bit1 a) :=
begin
rewrite [succ_bit1, lt_bit1_bit0_eq_lt],
apply lt_base
end
theorem lt_step : ∀ {a b : pos_num}, a < b → a < succ b
| one one H := rfl
| one (bit0 b) H := rfl
| one (bit1 b) H := rfl
| (bit0 a) one H := absurd H ff_ne_tt
| (bit0 a) (bit0 b) H :=
begin
rewrite [succ_bit0, lt_bit0_bit1_eq_lt_succ, lt_bit0_bit0_eq_lt at H],
apply (lt_step H)
end
| (bit0 a) (bit1 b) H :=
begin
rewrite [succ_bit1, lt_bit0_bit0_eq_lt, lt_bit0_bit1_eq_lt_succ at H],
exact H
end
| (bit1 a) one H := absurd H ff_ne_tt
| (bit1 a) (bit0 b) H :=
begin
rewrite [succ_bit0, lt_bit1_bit1_eq_lt, lt_bit1_bit0_eq_lt at H],
exact H
end
| (bit1 a) (bit1 b) H :=
begin
rewrite [succ_bit1, lt_bit1_bit0_eq_lt, lt_bit1_bit1_eq_lt at H],
apply (lt_step H)
end
theorem lt_of_lt_succ_succ : ∀ {a b : pos_num}, succ a < succ b → a < b
| one one H := absurd H ff_ne_tt
| one (bit0 b) H := rfl
| one (bit1 b) H := rfl
| (bit0 a) one H :=
begin
rewrite [succ_bit0 at H, succ_one at H, lt_bit1_bit0_eq_lt at H],
apply (absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff a) H)
end
| (bit0 a) (bit0 b) H := by exact H
| (bit0 a) (bit1 b) H := by exact H
| (bit1 a) one H :=
begin
rewrite [succ_bit1 at H, succ_one at H, lt_bit0_bit0_eq_lt at H],
apply (absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff (succ a)) H)
end
| (bit1 a) (bit0 b) H :=
begin
rewrite [succ_bit1 at H, succ_bit0 at H, lt_bit0_bit1_eq_lt_succ at H],
rewrite lt_bit1_bit0_eq_lt,
apply (lt_of_lt_succ_succ H)
end
| (bit1 a) (bit1 b) H :=
begin
rewrite [lt_bit1_bit1_eq_lt, *succ_bit1 at H, lt_bit0_bit0_eq_lt at H],
apply (lt_of_lt_succ_succ H)
end
theorem lt_succ_succ : ∀ {a b : pos_num}, a < b → succ a < succ b
| one one H := absurd H ff_ne_tt
| one (bit0 b) H :=
begin
rewrite [succ_bit0, succ_one, lt_bit0_bit1_eq_lt_succ],
apply lt_one_succ_eq_tt
end
| one (bit1 b) H :=
begin
rewrite [succ_one, succ_bit1, lt_bit0_bit0_eq_lt],
apply lt_one_succ_eq_tt
end
| (bit0 a) one H := absurd H ff_ne_tt
| (bit0 a) (bit0 b) H := by exact H
| (bit0 a) (bit1 b) H := by exact H
| (bit1 a) one H := absurd H ff_ne_tt
| (bit1 a) (bit0 b) H :=
begin
rewrite [succ_bit1, succ_bit0, lt_bit0_bit1_eq_lt_succ, lt_bit1_bit0_eq_lt at H],
apply (lt_succ_succ H)
end
| (bit1 a) (bit1 b) H :=
begin
rewrite [lt_bit1_bit1_eq_lt at H, *succ_bit1, lt_bit0_bit0_eq_lt],
apply (lt_succ_succ H)
end
theorem lt_of_lt_succ : ∀ {a b : pos_num}, succ a < b → a < b
| one one H := absurd_of_eq_ff_of_eq_tt !lt_one_right_eq_ff H
| one (bit0 b) H := rfl
| one (bit1 b) H := rfl
| (bit0 a) one H := absurd_of_eq_ff_of_eq_tt !lt_one_right_eq_ff H
| (bit0 a) (bit0 b) H := by exact H
| (bit0 a) (bit1 b) H :=
begin
rewrite [succ_bit0 at H, lt_bit1_bit1_eq_lt at H, lt_bit0_bit1_eq_lt_succ],
apply (lt_step H)
end
| (bit1 a) one H := absurd_of_eq_ff_of_eq_tt !lt_one_right_eq_ff H
| (bit1 a) (bit0 b) H :=
begin
rewrite [lt_bit1_bit0_eq_lt, succ_bit1 at H, lt_bit0_bit0_eq_lt at H],
apply (lt_of_lt_succ H)
end
| (bit1 a) (bit1 b) H :=
begin
rewrite [succ_bit1 at H, lt_bit0_bit1_eq_lt_succ at H, lt_bit1_bit1_eq_lt],
apply (lt_of_lt_succ_succ H)
end
theorem lt_of_lt_succ_of_ne : ∀ {a b : pos_num}, a < succ b → a ≠ b → a < b
| one one H₁ H₂ := absurd rfl H₂
| one (bit0 b) H₁ H₂ := rfl
| one (bit1 b) H₁ H₂ := rfl
| (bit0 a) one H₁ H₂ :=
begin
rewrite [succ_one at H₁, lt_bit0_bit0_eq_lt at H₁],
apply (absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff _) H₁)
end
| (bit0 a) (bit0 b) H₁ H₂ :=
begin
rewrite [lt_bit0_bit0_eq_lt, succ_bit0 at H₁, lt_bit0_bit1_eq_lt_succ at H₁],
apply (lt_of_lt_succ_of_ne H₁ (ne_of_bit0_ne_bit0 H₂))
end
| (bit0 a) (bit1 b) H₁ H₂ :=
begin
rewrite [succ_bit1 at H₁, lt_bit0_bit0_eq_lt at H₁, lt_bit0_bit1_eq_lt_succ],
exact H₁
end
| (bit1 a) one H₁ H₂ :=
begin
rewrite [succ_one at H₁, lt_bit1_bit0_eq_lt at H₁],
apply (absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff _) H₁)
end
| (bit1 a) (bit0 b) H₁ H₂ :=
begin
rewrite [succ_bit0 at H₁, lt_bit1_bit1_eq_lt at H₁, lt_bit1_bit0_eq_lt],
exact H₁
end
| (bit1 a) (bit1 b) H₁ H₂ :=
begin
rewrite [succ_bit1 at H₁, lt_bit1_bit0_eq_lt at H₁, lt_bit1_bit1_eq_lt],
apply (lt_of_lt_succ_of_ne H₁ (ne_of_bit1_ne_bit1 H₂))
end
theorem lt_trans : ∀ {a b c : pos_num}, a < b → b < c → a < c
| one b (bit0 c) H₁ H₂ := rfl
| one b (bit1 c) H₁ H₂ := rfl
| a (bit0 b) one H₁ H₂ := absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff _) H₂
| a (bit1 b) one H₁ H₂ := absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff _) H₂
| (bit0 a) (bit0 b) (bit0 c) H₁ H₂ :=
begin
rewrite lt_bit0_bit0_eq_lt at *, apply (lt_trans H₁ H₂)
end
| (bit0 a) (bit0 b) (bit1 c) H₁ H₂ :=
begin
rewrite [lt_bit0_bit1_eq_lt_succ at *, lt_bit0_bit0_eq_lt at H₁],
apply (lt_trans H₁ H₂)
end
| (bit0 a) (bit1 b) (bit0 c) H₁ H₂ :=
begin
rewrite [lt_bit0_bit1_eq_lt_succ at H₁, lt_bit1_bit0_eq_lt at H₂, lt_bit0_bit0_eq_lt],
apply (@by_cases (a = b)),
begin
intro H, rewrite -H at H₂, exact H₂
end,
begin
intro H,
apply (lt_trans (lt_of_lt_succ_of_ne H₁ H) H₂)
end
end
| (bit0 a) (bit1 b) (bit1 c) H₁ H₂ :=
begin
rewrite [lt_bit0_bit1_eq_lt_succ at *, lt_bit1_bit1_eq_lt at H₂],
apply (lt_trans H₁ (lt_succ_succ H₂))
end
| (bit1 a) (bit0 b) (bit0 c) H₁ H₂ :=
begin
rewrite [lt_bit0_bit0_eq_lt at H₂, lt_bit1_bit0_eq_lt at *],
apply (lt_trans H₁ H₂)
end
| (bit1 a) (bit0 b) (bit1 c) H₁ H₂ :=
begin
rewrite [lt_bit1_bit0_eq_lt at H₁, lt_bit0_bit1_eq_lt_succ at H₂, lt_bit1_bit1_eq_lt],
apply (@by_cases (b = c)),
begin
intro H, rewrite H at H₁, exact H₁
end,
begin
intro H,
apply (lt_trans H₁ (lt_of_lt_succ_of_ne H₂ H))
end
end
| (bit1 a) (bit1 b) (bit0 c) H₁ H₂ :=
begin
rewrite [lt_bit1_bit1_eq_lt at H₁, lt_bit1_bit0_eq_lt at H₂, lt_bit1_bit0_eq_lt],
apply (lt_trans H₁ H₂)
end
| (bit1 a) (bit1 b) (bit1 c) H₁ H₂ :=
begin
rewrite lt_bit1_bit1_eq_lt at *,
apply (lt_trans H₁ H₂)
end
theorem lt_antisymm : ∀ {a b : pos_num}, a < b → b ≮ a
| one one H := rfl
| one (bit0 b) H := rfl
| one (bit1 b) H := rfl
| (bit0 a) one H := absurd H ff_ne_tt
| (bit0 a) (bit0 b) H :=
begin
rewrite lt_bit0_bit0_eq_lt at *,
apply (lt_antisymm H)
end
| (bit0 a) (bit1 b) H :=
begin
rewrite lt_bit1_bit0_eq_lt,
rewrite lt_bit0_bit1_eq_lt_succ at H,
have H₁ : succ b ≮ a, from lt_antisymm H,
apply eq_ff_of_ne_tt,
intro H₂,
apply (@by_cases (succ b = a)),
show succ b = a → false,
begin
intro Hp,
rewrite -Hp at H,
apply (absurd_of_eq_ff_of_eq_tt (lt_irrefl (succ b)) H)
end,
show succ b ≠ a → false,
begin
intro Hn,
have H₃ : succ b < succ a, from lt_succ_succ H₂,
have H₄ : succ b < a, from lt_of_lt_succ_of_ne H₃ Hn,
apply (absurd_of_eq_ff_of_eq_tt H₁ H₄)
end,
end
| (bit1 a) one H := absurd H ff_ne_tt
| (bit1 a) (bit0 b) H :=
begin
rewrite lt_bit0_bit1_eq_lt_succ,
rewrite lt_bit1_bit0_eq_lt at H,
have H₁ : lt b a = ff, from lt_antisymm H,
apply eq_ff_of_ne_tt,
intro H₂,
apply (@by_cases (b = a)),
show b = a → false,
begin
intro Hp,
rewrite -Hp at H,
apply (absurd_of_eq_ff_of_eq_tt (lt_irrefl b) H)
end,
show b ≠ a → false,
begin
intro Hn,
have H₃ : b < a, from lt_of_lt_succ_of_ne H₂ Hn,
apply (absurd_of_eq_ff_of_eq_tt H₁ H₃)
end,
end
| (bit1 a) (bit1 b) H :=
begin
rewrite lt_bit1_bit1_eq_lt at *,
apply (lt_antisymm H)
end
local notation a ≤ b := (le a b = tt)
theorem le_refl : ∀ a : pos_num, a ≤ a :=
lt_base
theorem le_eq_lt_succ {a b : pos_num} : le a b = lt a (succ b) :=
rfl
theorem not_lt_of_le : ∀ {a b : pos_num}, a ≤ b → b < a → false
| one one H₁ H₂ := absurd H₂ ff_ne_tt
| one (bit0 b) H₁ H₂ := absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff _) H₂
| one (bit1 b) H₁ H₂ := absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff _) H₂
| (bit0 a) one H₁ H₂ :=
begin
rewrite [le_eq_lt_succ at H₁, succ_one at H₁, lt_bit0_bit0_eq_lt at H₁],
apply (absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff _) H₁)
end
| (bit0 a) (bit0 b) H₁ H₂ :=
begin
rewrite [le_eq_lt_succ at H₁, succ_bit0 at H₁, lt_bit0_bit1_eq_lt_succ at H₁],
rewrite [lt_bit0_bit0_eq_lt at H₂],
apply (not_lt_of_le H₁ H₂)
end
| (bit0 a) (bit1 b) H₁ H₂ :=
begin
rewrite [le_eq_lt_succ at H₁, succ_bit1 at H₁, lt_bit0_bit0_eq_lt at H₁],
rewrite [lt_bit1_bit0_eq_lt at H₂],
apply (not_lt_of_le H₁ H₂)
end
| (bit1 a) one H₁ H₂ :=
begin
rewrite [le_eq_lt_succ at H₁, succ_one at H₁, lt_bit1_bit0_eq_lt at H₁],
apply (absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff _) H₁)
end
| (bit1 a) (bit0 b) H₁ H₂ :=
begin
rewrite [le_eq_lt_succ at H₁, succ_bit0 at H₁, lt_bit1_bit1_eq_lt at H₁],
rewrite lt_bit0_bit1_eq_lt_succ at H₂,
have H₃ : a < succ b, from lt_step H₁,
apply (@by_cases (b = a)),
begin
intro Hba, rewrite -Hba at H₁,
apply (absurd_of_eq_ff_of_eq_tt (lt_irrefl b) H₁)
end,
begin
intro Hnba,
have H₄ : b < a, from lt_of_lt_succ_of_ne H₂ Hnba,
apply (not_lt_of_le H₃ H₄)
end
end
| (bit1 a) (bit1 b) H₁ H₂ :=
begin
rewrite [le_eq_lt_succ at H₁, succ_bit1 at H₁, lt_bit1_bit0_eq_lt at H₁],
rewrite [lt_bit1_bit1_eq_lt at H₂],
apply (not_lt_of_le H₁ H₂)
end
theorem le_antisymm : ∀ {a b : pos_num}, a ≤ b → b ≤ a → a = b
| one one H₁ H₂ := rfl
| one (bit0 b) H₁ H₂ :=
by apply (absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff b) H₂)
| one (bit1 b) H₁ H₂ :=
by apply (absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff b) H₂)
| (bit0 a) one H₁ H₂ :=
by apply (absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff a) H₁)
| (bit0 a) (bit0 b) H₁ H₂ :=
begin
rewrite [le_eq_lt_succ at *, succ_bit0 at *, lt_bit0_bit1_eq_lt_succ at *],
have H : a = b, from le_antisymm H₁ H₂,
rewrite H
end
| (bit0 a) (bit1 b) H₁ H₂ :=
begin
rewrite [le_eq_lt_succ at *, succ_bit1 at H₁, succ_bit0 at H₂],
rewrite [lt_bit0_bit0_eq_lt at H₁, lt_bit1_bit1_eq_lt at H₂],
apply (false.rec _ (not_lt_of_le H₁ H₂))
end
| (bit1 a) one H₁ H₂ :=
by apply (absurd_of_eq_ff_of_eq_tt (lt_one_right_eq_ff a) H₁)
| (bit1 a) (bit0 b) H₁ H₂ :=
begin
rewrite [le_eq_lt_succ at *, succ_bit0 at H₁, succ_bit1 at H₂],
rewrite [lt_bit1_bit1_eq_lt at H₁, lt_bit0_bit0_eq_lt at H₂],
apply (false.rec _ (not_lt_of_le H₂ H₁))
end
| (bit1 a) (bit1 b) H₁ H₂ :=
begin
rewrite [le_eq_lt_succ at *, succ_bit1 at *, lt_bit1_bit0_eq_lt at *],
have H : a = b, from le_antisymm H₁ H₂,
rewrite H
end
theorem le_trans {a b c : pos_num} : a ≤ b → b ≤ c → a ≤ c :=
begin
intros [H₁, H₂],
rewrite [le_eq_lt_succ at *],
apply (@by_cases (a = b)),
begin
intro Hab, rewrite Hab, exact H₂
end,
begin
intro Hnab,
have Haltb : a < b, from lt_of_lt_succ_of_ne H₁ Hnab,
apply (lt_trans Haltb H₂)
end,
end
end pos_num
|
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