lean2/library/theories/analysis/metric_space.lean

239 lines
9.4 KiB
Text
Raw Normal View History

/-
Copyright (c) 2015 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Author: Jeremy Avigad
Metric spaces.
-/
import data.real.division
open real eq.ops classical
structure metric_space [class] (M : Type) : Type :=
(dist : M → M → )
(dist_self : ∀ x : M, dist x x = 0)
(eq_of_dist_eq_zero : ∀ {x y : M}, dist x y = 0 → x = y)
(dist_comm : ∀ x y : M, dist x y = dist y x)
(dist_triangle : ∀ x y z : M, dist x y + dist y z ≥ dist x z)
namespace metric_space
section metric_space_M
variables {M : Type} [strucM : metric_space M]
include strucM
proposition dist_eq_zero_iff (x y : M) : dist x y = 0 ↔ x = y :=
iff.intro eq_of_dist_eq_zero (suppose x = y, this ▸ !dist_self)
proposition dist_nonneg (x y : M) : 0 ≤ dist x y :=
have dist x y + dist y x ≥ 0, by rewrite -(dist_self x); apply dist_triangle,
have 2 * dist x y ≥ 0, using this,
by rewrite [-real.one_add_one, right_distrib, +one_mul, dist_comm at {2}]; apply this,
nonneg_of_mul_nonneg_left this two_pos
proposition dist_pos_of_ne {x y : M} (H : x ≠ y) : dist x y > 0 :=
lt_of_le_of_ne !dist_nonneg (suppose 0 = dist x y, H (iff.mp !dist_eq_zero_iff this⁻¹))
proposition eq_of_forall_dist_le {x y : M} (H : ∀ ε, ε > 0 → dist x y ≤ ε) : x = y :=
eq_of_dist_eq_zero (eq_zero_of_nonneg_of_forall_le !dist_nonneg H)
open nat
/- convergence of a sequence -/
definition converges_to_seq (X : → M) (y : M) : Prop :=
∀ ⦃ε : ℝ⦄, ε > 0 → ∃ N : , ∀ ⦃n⦄, n ≥ N → dist (X n) y < ε
-- the same, with ≤ in place of <; easier to prove, harder to use
definition converges_to_seq.intro {X : → M} {y : M}
(H : ∀ ⦃ε : ℝ⦄, ε > 0 → ∃ N : , ∀ {n}, n ≥ N → dist (X n) y ≤ ε) :
converges_to_seq X y :=
take ε, assume epos : ε > 0,
have e2pos : ε / 2 > 0, from div_pos_of_pos_of_pos `ε > 0` two_pos,
obtain N HN, from H e2pos,
exists.intro N
(take n, suppose n ≥ N,
calc
dist (X n) y ≤ ε / 2 : HN _ `n ≥ N`
... < ε : div_two_lt_of_pos epos)
notation X `⟶` y `in` `` := converges_to_seq X y
definition converges_seq [class] (X : → M) : Prop := ∃ y, X ⟶ y in
noncomputable definition limit_seq (X : → M) [H : converges_seq X] : M := some H
proposition converges_to_limit_seq (X : → M) [H : converges_seq X] :
(X ⟶ limit_seq X in ) :=
some_spec H
proposition converges_to_seq_unique {X : → M} {y₁ y₂ : M}
(H₁ : X ⟶ y₁ in ) (H₂ : X ⟶ y₂ in ) : y₁ = y₂ :=
eq_of_forall_dist_le
(take ε, suppose ε > 0,
have e2pos : ε / 2 > 0, from div_pos_of_pos_of_pos `ε > 0` two_pos,
obtain N₁ (HN₁ : ∀ {n}, n ≥ N₁ → dist (X n) y₁ < ε / 2), from H₁ e2pos,
obtain N₂ (HN₂ : ∀ {n}, n ≥ N₂ → dist (X n) y₂ < ε / 2), from H₂ e2pos,
let N := max N₁ N₂ in
have dN₁ : dist (X N) y₁ < ε / 2, from HN₁ !le_max_left,
have dN₂ : dist (X N) y₂ < ε / 2, from HN₂ !le_max_right,
have dist y₁ y₂ < ε, from calc
dist y₁ y₂ ≤ dist y₁ (X N) + dist (X N) y₂ : dist_triangle
... = dist (X N) y₁ + dist (X N) y₂ : dist_comm
... < ε / 2 + ε / 2 : add_lt_add dN₁ dN₂
... = ε : add_halves,
show dist y₁ y₂ ≤ ε, from le_of_lt this)
proposition eq_limit_of_converges_to_seq {X : → M} {y : M} (H : X ⟶ y in ) :
y = @limit_seq M _ X (exists.intro y H) :=
converges_to_seq_unique H (@converges_to_limit_seq M _ X (exists.intro y H))
proposition converges_to_seq_constant (y : M) : (λn, y) ⟶ y in :=
take ε, assume egt0 : ε > 0,
exists.intro 0
(take n, suppose n ≥ 0,
calc
dist y y = 0 : !dist_self
... < ε : egt0)
proposition converges_to_seq_offset {X : → M} {y : M} (k : ) (H : X ⟶ y in ) :
(λ n, X (n + k)) ⟶ y in :=
take ε, suppose ε > 0,
obtain N HN, from H `ε > 0`,
exists.intro N
(take n : , assume ngtN : n ≥ N,
show dist (X (n + k)) y < ε, from HN (n + k) (le.trans ngtN !le_add_right))
proposition converges_to_seq_offset_left {X : → M} {y : M} (k : ) (H : X ⟶ y in ) :
(λ n, X (k + n)) ⟶ y in :=
have aux : (λ n, X (k + n)) = (λ n, X (n + k)), from funext (take n, by rewrite nat.add.comm),
by+ rewrite aux; exact converges_to_seq_offset k H
proposition converges_to_seq_offset_succ {X : → M} {y : M} (H : X ⟶ y in ) :
(λ n, X (succ n)) ⟶ y in :=
converges_to_seq_offset 1 H
proposition converges_to_seq_of_converges_to_seq_offset
{X : → M} {y : M} {k : } (H : (λ n, X (n + k)) ⟶ y in ) :
X ⟶ y in :=
take ε, suppose ε > 0,
obtain N HN, from H `ε > 0`,
exists.intro (N + k)
(take n : , assume nge : n ≥ N + k,
have n - k ≥ N, from le_sub_of_add_le nge,
have dist (X (n - k + k)) y < ε, from HN (n - k) this,
show dist (X n) y < ε, using this,
by rewrite [(nat.sub_add_cancel (le.trans !le_add_left nge)) at this]; exact this)
proposition converges_to_seq_of_converges_to_seq_offset_left
{X : → M} {y : M} {k : } (H : (λ n, X (k + n)) ⟶ y in ) :
X ⟶ y in :=
have aux : (λ n, X (k + n)) = (λ n, X (n + k)), from funext (take n, by rewrite nat.add.comm),
by+ rewrite aux at H; exact converges_to_seq_of_converges_to_seq_offset H
proposition converges_to_seq_of_converges_to_seq_offset_succ
{X : → M} {y : M} (H : (λ n, X (succ n)) ⟶ y in ) :
X ⟶ y in :=
@converges_to_seq_of_converges_to_seq_offset M strucM X y 1 H
proposition converges_to_seq_offset_iff (X : → M) (y : M) (k : ) :
((λ n, X (n + k)) ⟶ y in ) ↔ (X ⟶ y in ) :=
iff.intro converges_to_seq_of_converges_to_seq_offset !converges_to_seq_offset
proposition converges_to_seq_offset_left_iff (X : → M) (y : M) (k : ) :
((λ n, X (k + n)) ⟶ y in ) ↔ (X ⟶ y in ) :=
iff.intro converges_to_seq_of_converges_to_seq_offset_left !converges_to_seq_offset_left
proposition converges_to_seq_offset_succ_iff (X : → M) (y : M) :
((λ n, X (succ n)) ⟶ y in ) ↔ (X ⟶ y in ) :=
iff.intro converges_to_seq_of_converges_to_seq_offset_succ !converges_to_seq_offset_succ
/- cauchy sequences -/
definition cauchy (X : → M) : Prop :=
∀ ε : , ε > 0 → ∃ N, ∀ m n, m ≥ N → n ≥ N → dist (X m) (X n) < ε
proposition cauchy_of_converges_seq (X : → M) [H : converges_seq X] : cauchy X :=
take ε, suppose ε > 0,
obtain y (Hy : converges_to_seq X y), from H,
have e2pos : ε / 2 > 0, from div_pos_of_pos_of_pos `ε > 0` two_pos,
obtain N₁ (HN₁ : ∀ {n}, n ≥ N₁ → dist (X n) y < ε / 2), from Hy e2pos,
obtain N₂ (HN₂ : ∀ {n}, n ≥ N₂ → dist (X n) y < ε / 2), from Hy e2pos,
let N := max N₁ N₂ in
exists.intro N
(take m n, suppose m ≥ N, suppose n ≥ N,
have m ≥ N₁, from le.trans !le_max_left `m ≥ N`,
have n ≥ N₂, from le.trans !le_max_right `n ≥ N`,
have dN₁ : dist (X m) y < ε / 2, from HN₁ `m ≥ N₁`,
have dN₂ : dist (X n) y < ε / 2, from HN₂ `n ≥ N₂`,
show dist (X m) (X n) < ε, from calc
dist (X m) (X n) ≤ dist (X m) y + dist y (X n) : dist_triangle
... = dist (X m) y + dist (X n) y : dist_comm
... < ε / 2 + ε / 2 : add_lt_add dN₁ dN₂
... = ε : add_halves)
end metric_space_M
/- convergence of a function at a point -/
section metric_space_M_N
variables {M N : Type} [strucM : metric_space M] [strucN : metric_space N]
include strucM strucN
definition converges_to_at (f : M → N) (y : N) (x : M) :=
∀ ⦃ε⦄, ε > 0 → ∃ δ, δ > 0 ∧ ∀ x', x ≠ x' ∧ dist x x' < δ → dist (f x') y < ε
notation f `⟶` y `at` x := converges_to_at f y x
definition converges_at [class] (f : M → N) (x : M) :=
∃ y, converges_to_at f y x
noncomputable definition limit_at (f : M → N) (x : M) [H : converges_at f x] : N :=
some H
proposition converges_to_limit_at (f : M → N) (x : M) [H : converges_at f x] :
(f ⟶ limit_at f x at x) :=
some_spec H
definition continuous_at (f : M → N) (x : M) := converges_to_at f (f x) x
definition continuous (f : M → N) := ∀ x, continuous_at f x
theorem continuous_at_spec {f : M → N} {x : M} (Hf : continuous_at f x) :
∀ ⦃ε⦄, ε > 0 → ∃ δ, δ > 0 ∧ ∀ x', dist x x' < δ → dist (f x') (f x) < ε :=
take ε, suppose ε > 0,
obtain δ Hδ, from Hf this,
exists.intro δ (and.intro
(and.left Hδ)
(take x', suppose dist x x' < δ,
if Heq : x = x' then
by rewrite [Heq, dist_self]; assumption
else
(suffices dist x x' < δ, from and.right Hδ x' (and.intro Heq this),
this)))
theorem image_seq_converges_of_converges [instance] (X : → M) [HX : converges_seq X] {f : M → N} (Hf : continuous f) :
converges_seq (λ n, f (X n)) :=
begin
cases HX with xlim Hxlim,
existsi f xlim,
rewrite ↑converges_to_seq at *,
intros ε Hε,
let Hcont := Hf xlim Hε,
cases Hcont with δ Hδ,
cases Hxlim (and.left Hδ) with B HB,
existsi B,
intro n Hn,
cases em (xlim = X n),
rewrite [a, dist_self],
assumption,
apply and.right Hδ,
split,
exact a,
rewrite dist_comm,
apply HB Hn
end
end metric_space_M_N
end metric_space