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Add lean source and binary files (part 12)
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import OAI.Analysis.C0Absorption.Continuity
namespace OAI
open Set Filter Topology
open scoped NNReal BigOperators ZeroAtInfty
open NormedSpace
namespace C0Absorption
noncomputable section
open Set Filter Topology NormedSpace
open scoped NNReal BigOperators ZeroAtInfty
theorem finiteRecomputed_surjective (N : ℕ) (hN : 0 < N) : Function.Surjective (finiteRecomputed N) := by
apply surjective_of_punctured_local_onto (finiteRecomputed N)
(finiteRecomputed_antilipschitz N) (finiteRecomputed_lipschitz N) (finiteRecomputed_zero N)
· apply (isConnected_compl_singleton_of_one_lt_rank (E := FInput N) _ 0).isPreconnected
change 1 < Module.rank ℝ (FCoord N → ℝ)
rw [rank_fun']
have hh : 1 < Fintype.card (FCoord N) := by
change 1 < Fintype.card (Sum (Fin (N+1)) (FLabel N))
rw [Fintype.card_sum,Fintype.card_fin]
omega
exact_mod_cast hh
· exact fun x hx => finiteRecomputed_local_onto hx
variable {N : ℕ}
def finiteTarget (N : ℕ) (y : BlockC0) : FInput N := Sum.elim (fun _ => 0) (fun γ => y (fLabel γ))
theorem finiteRecomputed_block (x : FInput N) (γ : FLabel N) :
finiteRecomputed N x (.inr γ)=recomputedShift (finiteEmbed N x) (fLabel γ) :=
finiteFrozen_block _ x γ
theorem finiteRecomputed_row (x : FInput N) (i : Fin (N+1)) :
finiteRecomputed N x (.inl i)=
rowScalar (stateWeights (normalizedBall (finiteEmbed N x))) (i.val,N) (finiteEmbed N x) :=
finiteRow_eq _ (i,Fin.last N) x
theorem finiteEmbed_rowScalar_outside (W : FrozenWeights) (x : FInput N) (lev : Level)
(hl : N < lev.1 ∨ N < lev.2) : rowScalar W lev (finiteEmbed N x)=0 := by
classical
rw [rowScalar_apply]
apply Finset.sum_eq_zero
intro b hb
change W.row lev b*finiteEmbed N x (labelIndex (blockLabel lev b))=0
rw [finiteEmbed_block_outside x (blockLabel lev b) hl,mul_zero]
theorem finite_solution_gives_infinite (y : BlockC0) (x : FInput N)
(hy : ∀ γ : Label, N < γ.level.1 ∨ N < γ.level.2 → y γ=0)
(hx : finiteRecomputed N x=finiteTarget N y) : recomputedShift (finiteEmbed N x)=y := by
let W := stateWeights (normalizedBall (finiteEmbed N x))
have hterminal (i : ℕ) (hi : i≤N) : rowScalar W (i,N) (finiteEmbed N x)=0 := by
have hh := congrFun hx (.inl ⟨i,by omega⟩)
rw [finiteRecomputed_row] at hh
exact hh
ext γ
by_cases hγ : γ.level.1≤N ∧ γ.level.2≤N
· let l : FLevel N := (⟨γ.level.1,by omega⟩,⟨γ.level.2,by omega⟩)
let b : Block (l.1.val,l.2.val) := ⟨γ.band,γ.tag⟩
let δ : FLabel N := ⟨l,b⟩
have he : fLabel δ=γ := by cases γ; rfl
have hh := congrFun hx (.inr δ)
rw [finiteRecomputed_block] at hh
change recomputedShift (finiteEmbed N x) (fLabel δ)=y (fLabel δ) at hh
simpa only [he] using hh
· have hout : N < γ.level.1 ∨ N < γ.level.2 := by omega
rw [hy γ hout]
change frozenShift W (finiteEmbed N x) γ=0
rw [frozenShift_apply,finiteEmbed_block_outside x γ hout,frozenCorrection_apply,
finiteEmbed_rowScalar_outside W x γ.level hout]
have hp : previousScalar W γ.level (finiteEmbed N x)=0 := by
rcases hl : γ.level with ⟨i,n⟩
rw [hl] at hout
change N < i ∨ N < n at hout
cases n with
| zero =>
change finiteEmbed N x (rowIndex i)=0
exact finiteEmbed_row_outside x i (by omega)
| succ n =>
change rowScalar W (i,n) (finiteEmbed N x)=0
by_cases hi : N < i
· exact finiteEmbed_rowScalar_outside W x _ (Or.inl hi)
· by_cases hn : n=N
· subst n
exact hterminal i (by omega)
· exact finiteEmbed_rowScalar_outside W x _ (Or.inr (by omega))
rw [hp]
ring
theorem finite_target_mem_range (N : ℕ) (hN : 0 < N) (y : BlockC0)
(hy : ∀ γ : Label, N < γ.level.1 ∨ N < γ.level.2 → y γ=0) : y∈Set.range recomputedShift := by
obtain ⟨x,hx⟩ := finiteRecomputed_surjective N hN (finiteTarget N y)
exact ⟨finiteEmbed N x,finite_solution_gives_infinite y x hy hx⟩
def blockSquare (N : ℕ) (y : BlockC0) : BlockC0 :=
cfunOfTendsto (fun γ => if γ.level.1≤N ∧ γ.level.2≤N then y γ else 0)
((cfun_tendsto y).if' tendsto_const_nhds)
@[simp] theorem blockSquare_apply (N : ℕ) (y : BlockC0) (γ : Label) :
blockSquare N y γ=if γ.level.1≤N ∧ γ.level.2≤N then y γ else 0 := rfl
theorem blockSquare_outside (N : ℕ) (y : BlockC0) (γ : Label)
(hγ : N < γ.level.1 ∨ N < γ.level.2) : blockSquare N y γ=0 := by
rw [blockSquare_apply,ite_eq_right (by omega)]
theorem blockSquare_tendsto (y : BlockC0) : Tendsto (fun N => blockSquare N y) atTop (nhds y) := by
classical
apply Metric.tendsto_atTop.mpr
intro ε hε
have hsmall : ∀ᶠ γ in cofinite, |y γ|<ε/2 := by
have hh := Metric.tendsto_nhds.mp (cfun_tendsto y) (ε/2) (half_pos hε)
simpa only [Metric.mem_ball,dist_zero_right,Real.norm_eq_abs] using hh
have hfin : {γ : Label | ε/2≤|y γ|}.Finite := by
simpa only [not_lt] using Filter.eventually_cofinite.mp hsmall
let S := hfin.toFinset
let M := S.sup (fun γ => max γ.level.1 γ.level.2)
refine ⟨M,fun n hn => ?_⟩
rw [dist_eq_norm]
apply lt_of_le_of_lt _ (half_lt_self hε)
apply cfun_norm_le _ (half_pos hε).le
intro γ
change |blockSquare n y γ-y γ|≤ε/2
rw [blockSquare_apply]
split_ifs with hγ
· simpa only [sub_self,abs_zero] using (half_pos hε).le
· simp only [zero_sub,abs_neg]
apply le_of_lt
by_contra hbad
have hmem : γ∈S := hfin.mem_toFinset.mpr (le_of_not_gt hbad)
have hb : max γ.level.1 γ.level.2≤M := Finset.le_sup (f := fun γ : Label => max γ.level.1 γ.level.2) hmem
have h1 := (le_max_left γ.level.1 γ.level.2).trans (hb.trans hn)
have h2 := (le_max_right γ.level.1 γ.level.2).trans (hb.trans hn)
exact hγ ⟨h1,h2⟩
theorem recomputedShift_surjective : Function.Surjective recomputedShift := by
have hclosed : IsClosed (Set.range recomputedShift) :=
recomputed_antilipschitz.isClosed_range recomputed_lipschitz.uniformContinuous
intro y
apply hclosed.mem_of_tendsto (blockSquare_tendsto y)
apply Filter.eventually_atTop.mpr
refine ⟨1,fun N hN => finite_target_mem_range N (by omega) (blockSquare N y) ?_⟩
exact blockSquare_outside N y
end
end C0Absorption
end OAI