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Add lean source and binary files (part 12)
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import OAI.Analysis.C0Absorption.Space
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
section Sparse
variable {A : Type*} [Fintype A]
def sparseC0 (j : A → ℕ) (x : A → ℝ) : C0 :=
cfunOfTendsto (Function.extend j x 0) (by
apply tendsto_congr' (show Function.extend j x 0 =ᶠ[cofinite] fun _ => 0 from ?_) |>.mpr
tendsto_const_nhds
filter_upwards [(Set.finite_range j).compl_mem_cofinite] with k hk
exact Function.extend_apply' _ _ _ hk)
@[simp] theorem sparseC0_apply (j : A → ℕ) (hj : Function.Injective j) (x : A → ℝ) (a : A) :
sparseC0 j x (j a)=x a := hj.extend_apply _ _ a
theorem sparseC0_outside (j : A → ℕ) (x : A → ℝ) (k : ℕ) (hk : k∉Set.range j) :
sparseC0 j x k=0 := Function.extend_apply' _ _ _ hk
theorem sparseC0_norm_le (j : A → ℕ) (hj : Function.Injective j) (x : A → ℝ) : ‖sparseC0 j x‖≤‖x‖ := by
apply cfun_norm_le _ (norm_nonneg x)
intro k
by_cases hk : k∈Set.range j
· obtain ⟨a,rfl⟩ := hk
rw [sparseC0_apply j hj]
exact norm_le_pi_norm x a
· rw [sparseC0_outside j x k hk,abs_zero]
exact norm_nonneg x
def sparseC0L (j : A → ℕ) (hj : Function.Injective j) : (A → ℝ) →L[ℝ] C0 :=
LinearMap.mkContinuous
{ toFun := sparseC0 j
map_add' := by
intro x y
ext k
by_cases hk : k∈Set.range j
· obtain ⟨a,rfl⟩ := hk
simp only [sparseC0_apply j hj,ZeroAtInftyContinuousMap.add_apply,Pi.add_apply]
· simp only [sparseC0_outside j _ k hk,ZeroAtInftyContinuousMap.add_apply,add_zero]
map_smul' := by
intro c x
ext k
by_cases hk : k∈Set.range j
· obtain ⟨a,rfl⟩ := hk
simp only [sparseC0_apply j hj,ZeroAtInftyContinuousMap.smul_apply,Pi.smul_apply,RingHom.id_apply]
· simp only [sparseC0_outside j _ k hk,ZeroAtInftyContinuousMap.smul_apply,smul_zero] }
1 (fun x => by
change ‖sparseC0 j x‖≤1*‖x‖
simpa only [one_mul] using sparseC0_norm_le j hj x)
theorem sparseC0_norm (j : A → ℕ) (hj : Function.Injective j) (x : A → ℝ) : ‖sparseC0 j x‖=‖x‖ := by
apply le_antisymm (sparseC0_norm_le j hj x)
apply (pi_norm_le_iff_of_nonneg (norm_nonneg _)).mpr
intro a
rw [← sparseC0_apply j hj x a]
exact cfun_norm_apply_le _ _
def sparseC0Isometry (j : A → ℕ) (hj : Function.Injective j) : (A → ℝ) →ₗᵢ[ℝ] C0 where
toLinearMap := (sparseC0L j hj).toLinearMap
norm_map' := sparseC0_norm j hj
end Sparse
abbrev FLevel (N : ℕ) := Fin (N+1) × Fin (N+1)
abbrev FLabel (N : ℕ) := (lev : FLevel N) × Block (lev.1.val,lev.2.val)
abbrev FCoord (N : ℕ) := Sum (Fin (N+1)) (FLabel N)
abbrev FInput (N : ℕ) := FCoord N → ℝ
def fLabel {N : ℕ} (γ : FLabel N) : Label := blockLabel (γ.1.1.val,γ.1.2.val) γ.2
theorem fLabel_injective (N : ℕ) : Function.Injective (@fLabel N) := by
rintro ⟨⟨i,n⟩,b⟩ ⟨⟨i',n'⟩,b'⟩ he
have hl := congrArg Label.level he
change (i.val,n.val)=(i'.val,n'.val) at hl
have hi : i=i' := Fin.ext (Prod.mk.inj hl).1
have hn : n=n' := Fin.ext (Prod.mk.inj hl).2
subst i'; subst n'
have hb : b=b' := blockLabel_injective _ he
subst b'
rfl
def fCoord {N : ℕ} : FCoord N → ℕ := Sum.elim (fun i => rowIndex i.val) (fun γ => labelIndex (fLabel γ))
theorem fCoord_injective (N : ℕ) : Function.Injective (@fCoord N) := by
rintro (i|γ) (j|δ) he
· exact congrArg Sum.inl (Fin.ext (rowIndex_injective he))
· exact (rowIndex_ne_labelIndex i.val (fLabel δ) he).elim
· exact (rowIndex_ne_labelIndex j.val (fLabel γ) he.symm).elim
· exact congrArg Sum.inr (fLabel_injective N (labelIndex_injective he))
def finiteEmbed (N : ℕ) : FInput N →ₗᵢ[ℝ] C0 := sparseC0Isometry fCoord (fCoord_injective N)
@[simp] theorem finiteEmbed_apply {N : ℕ} (x : FInput N) (a : FCoord N) :
finiteEmbed N x (fCoord a)=x a := sparseC0_apply _ (fCoord_injective N) x a
@[simp] theorem finiteEmbed_row {N : ℕ} (x : FInput N) (i : Fin (N+1)) :
finiteEmbed N x (rowIndex i.val)=x (.inl i) := finiteEmbed_apply x (.inl i)
@[simp] theorem finiteEmbed_block {N : ℕ} (x : FInput N) (l : FLevel N) (b : Block (l.1.val,l.2.val)) :
finiteEmbed N x (labelIndex (blockLabel (l.1.val,l.2.val) b))=x (.inr ⟨l,b⟩) := finiteEmbed_apply x (.inr ⟨l,b⟩)
theorem finiteEmbed_row_outside {N : ℕ} (x : FInput N) (i : ℕ) (hi : N < i) : finiteEmbed N x (rowIndex i)=0 := by
apply sparseC0_outside
rintro ⟨a,ha⟩
cases a with
| inl a => have he := rowIndex_injective ha; have := a.isLt; omega
| inr γ => exact rowIndex_ne_labelIndex i (fLabel γ) ha.symm
theorem finiteEmbed_block_outside {N : ℕ} (x : FInput N) (γ : Label)
(hγ : N < γ.level.1 ∨ N < γ.level.2) : finiteEmbed N x (labelIndex γ)=0 := by
apply sparseC0_outside
rintro ⟨a,ha⟩
cases a with
| inl i => exact rowIndex_ne_labelIndex i.val γ ha
| inr δ =>
have he := congrArg Label.level (labelIndex_injective ha)
change (δ.1.1.val,δ.1.2.val)=γ.level at he
have h1 := congrArg Prod.fst he
have h2 := congrArg Prod.snd he
have := δ.1.1.isLt
have := δ.1.2.isLt
omega
end
end C0Absorption
namespace C0Absorption
noncomputable section
open Set Filter Topology NormedSpace
open scoped NNReal BigOperators ZeroAtInfty
variable {N : ℕ}
def finiteRow (W : FrozenWeights) (l : FLevel N) (x : FInput N) : ℝ :=
∑ b : Block (l.1.val,l.2.val), W.row (l.1.val,l.2.val) b*x (.inr ⟨l,b⟩)
theorem finiteRow_eq (W : FrozenWeights) (l : FLevel N) (x : FInput N) :
finiteRow W l x=rowScalar W (l.1.val,l.2.val) (finiteEmbed N x) := by
rw [rowScalar_apply]
simp only [finiteRow,blockInput,finiteEmbed_block]
theorem finiteRow_bound (W : FrozenWeights) (l : FLevel N) (x : FInput N) : |finiteRow W l x|≤2*‖x‖ := by
unfold finiteRow
exact (abs_finite_dot_le _ _ (fun b => norm_le_pi_norm x (.inr ⟨l,b⟩))).trans
(mul_le_mul_of_nonneg_right (W.row_bound _) (norm_nonneg x))
def finPred (n : Fin (N+1)) : Fin (N+1) := ⟨n.val-1,(Nat.sub_le _ _).trans_lt n.isLt⟩
def finitePrev (W : FrozenWeights) (l : FLevel N) (x : FInput N) : ℝ :=
if l.2.val=0 then x (.inl l.1) else finiteRow W (l.1,finPred l.2) x
theorem finitePrev_eq (W : FrozenWeights) (l : FLevel N) (x : FInput N) :
finitePrev W l x=previousScalar W (l.1.val,l.2.val) (finiteEmbed N x) := by
rcases l with ⟨i,⟨n,hn⟩⟩
cases n with
| zero => simp only [finitePrev,↓reduceIte,previousScalar,c0Eval_apply,finiteEmbed_row]
| succ n =>
simp only [finitePrev,Nat.succ_ne_zero,↓reduceIte,finiteRow_eq,finPred,Nat.add_sub_cancel,previousScalar]
def finiteFrozenFunction (W : FrozenWeights) (x : FInput N) : FInput N := fun a =>
match a with
| .inl i => finiteRow W (i,Fin.last N) x
| .inr ⟨l,b⟩ => x (.inr ⟨l,b⟩)+W.vector (l.1.val,l.2.val) b*(finitePrev W l x-finiteRow W l x)
@[simp] theorem finiteFrozen_row (W : FrozenWeights) (x : FInput N) (i : Fin (N+1)) :
finiteFrozenFunction W x (.inl i)=finiteRow W (i,Fin.last N) x := rfl
@[simp] theorem finiteFrozen_block (W : FrozenWeights) (x : FInput N) (γ : FLabel N) :
finiteFrozenFunction W x (.inr γ)=frozenShift W (finiteEmbed N x) (fLabel γ) := by
rcases γ with ⟨l,b⟩
rw [frozenShift_apply,frozenCorrection_apply]
change x (.inr ⟨l,b⟩)+W.vector (l.1.val,l.2.val) b*(finitePrev W l x-finiteRow W l x)=
finiteEmbed N x (labelIndex (blockLabel (l.1.val,l.2.val) b))+W.vector (l.1.val,l.2.val) b*
(previousScalar W (l.1.val,l.2.val) (finiteEmbed N x)-rowScalar W (l.1.val,l.2.val) (finiteEmbed N x))
rw [finiteEmbed_block,finitePrev_eq,finiteRow_eq]
theorem finiteFrozen_bound (W : FrozenWeights) (x : FInput N) : ‖finiteFrozenFunction W x‖≤5*‖x‖ := by
apply (pi_norm_le_iff_of_nonneg (mul_nonneg (by norm_num) (norm_nonneg x))).mpr
rintro (i|γ)
· change |finiteRow W (i,Fin.last N) x|≤_
exact (finiteRow_bound W _ x).trans (by nlinarith [norm_nonneg x])
· rw [finiteFrozen_block]
exact (cfun_norm_apply_le _ _).trans ((frozenShift_bound W (finiteEmbed N x)).trans_eq (by rw [LinearIsometry.norm_map]))
def finiteFrozen (N : ℕ) (W : FrozenWeights) : FInput N →L[ℝ] FInput N :=
LinearMap.mkContinuous
{ toFun := finiteFrozenFunction W
map_add' := by
intro x y
funext a
cases a with
| inl i => simp only [finiteFrozen_row,finiteRow_eq,map_add,Pi.add_apply]
| inr γ => simp only [finiteFrozen_block,map_add,ZeroAtInftyContinuousMap.add_apply,Pi.add_apply]
map_smul' := by
intro c x
funext a
cases a with
| inl i => simp only [finiteFrozen_row,finiteRow_eq,map_smul,Pi.smul_apply,RingHom.id_apply]
| inr γ => simp only [finiteFrozen_block,map_smul,ZeroAtInftyContinuousMap.smul_apply,Pi.smul_apply,RingHom.id_apply] }
5 (finiteFrozen_bound W)
def finiteNext (W : FrozenWeights) (l : FLevel N) (y : FInput N) : ℝ :=
if h : l.2.val<N then finiteRow W (l.1,⟨l.2.val+1,by omega⟩) y else y (.inl l.1)
theorem finiteNext_bound (W : FrozenWeights) (l : FLevel N) (y : FInput N) : |finiteNext W l y|≤2*‖y‖ := by
unfold finiteNext
split_ifs
· exact finiteRow_bound W _ y
· exact (norm_le_pi_norm y (.inl l.1)).trans (by nlinarith [norm_nonneg y])
def finiteInverseFunction (W : FrozenWeights) (y : FInput N) : FInput N := fun a =>
match a with
| .inl i => finiteRow W (i,0) y
| .inr ⟨l,b⟩ => y (.inr ⟨l,b⟩)-W.vector (l.1.val,l.2.val) b*(finiteRow W l y-finiteNext W l y)
@[simp] theorem finiteInverse_row (W : FrozenWeights) (y : FInput N) (i : Fin (N+1)) :
finiteInverseFunction W y (.inl i)=finiteRow W (i,0) y := rfl
@[simp] theorem finiteInverse_block (W : FrozenWeights) (y : FInput N) (l : FLevel N) (b : Block (l.1.val,l.2.val)) :
finiteInverseFunction W y (.inr ⟨l,b⟩)=y (.inr ⟨l,b⟩)-W.vector (l.1.val,l.2.val) b*(finiteRow W l y-finiteNext W l y) := rfl
theorem finiteInverse_bound (W : FrozenWeights) (y : FInput N) : ‖finiteInverseFunction W y‖≤5*‖y‖ := by
apply (pi_norm_le_iff_of_nonneg (mul_nonneg (by norm_num) (norm_nonneg y))).mpr
rintro (i|⟨l,b⟩)
· exact (finiteRow_bound W _ y).trans (by nlinarith [norm_nonneg y])
· change |y (.inr ⟨l,b⟩)-W.vector (l.1.val,l.2.val) b*(finiteRow W l y-finiteNext W l y)|≤_
apply (abs_sub _ _).trans
have hp : |W.vector (l.1.val,l.2.val) b*(finiteRow W l y-finiteNext W l y)|≤4*‖y‖ := by
rw [abs_mul]
calc
_ ≤ 1*(|finiteRow W l y|+|finiteNext W l y|) :=
mul_le_mul (W.vector_bound _ _) (abs_sub _ _) (abs_nonneg _) zero_le_one
_ ≤ 4*‖y‖ := by linarith [finiteRow_bound W l y,finiteNext_bound W l y]
have hy : |y (.inr ⟨l,b⟩)|≤‖y‖ := norm_le_pi_norm y _
linarith
theorem finiteRow_inverse (W : FrozenWeights) (y : FInput N) (l : FLevel N) :
finiteRow W l (finiteInverseFunction W y)=finiteNext W l y := by
unfold finiteRow
simp only [finiteInverse_block]
rw [finite_row_cancel _ _ _ (W.pairing _)]
change finiteRow W l y-(finiteRow W l y-finiteNext W l y)=_
ring
theorem finitePrev_inverse (W : FrozenWeights) (y : FInput N) (l : FLevel N) :
finitePrev W l (finiteInverseFunction W y)=finiteRow W l y := by
unfold finitePrev
split_ifs with hn
· have he : l.2=0 := Fin.ext hn
rcases l with ⟨i,n⟩
dsimp at he
subst n
rfl
· rw [finiteRow_inverse]
have hp : (finPred l.2).val<N := by have := l.2.isLt; dsimp [finPred]; omega
simp only [finiteNext,hp,↓reduceDIte]
congr 2
apply Fin.ext
dsimp [finPred]
omega
theorem finiteFrozen_inverse (W : FrozenWeights) (y : FInput N) : finiteFrozen N W (finiteInverseFunction W y)=y := by
funext a
cases a with
| inl i =>
change finiteRow W (i,Fin.last N) (finiteInverseFunction W y)=_
rw [finiteRow_inverse]
simp only [finiteNext,Fin.val_last,lt_self_iff_false,↓reduceDIte]
| inr γ =>
rcases γ with ⟨l,b⟩
change finiteInverseFunction W y (.inr ⟨l,b⟩)+_=_
rw [finiteInverse_block,finitePrev_inverse,finiteRow_inverse]
ring
theorem finiteRow_frozen (W : FrozenWeights) (x : FInput N) (l : FLevel N) :
finiteRow W l (finiteFrozen N W x)=finitePrev W l x := by
unfold finiteRow
change (∑ b : Block (l.1.val,l.2.val), W.row (l.1.val,l.2.val) b*
(x (.inr ⟨l,b⟩)+W.vector (l.1.val,l.2.val) b*(finitePrev W l x-finiteRow W l x)))=_
rw [finite_row_shift _ _ _ (W.pairing _)]
change finiteRow W l x+(finitePrev W l x-finiteRow W l x)=_
ring
theorem finiteNext_frozen (W : FrozenWeights) (x : FInput N) (l : FLevel N) :
finiteNext W l (finiteFrozen N W x)=finiteRow W l x := by
unfold finiteNext
split_ifs with hn
· rw [finiteRow_frozen]
simp only [finitePrev,Nat.add_eq_zero_iff,Nat.one_ne_zero,and_false,↓reduceIte]
congr 2
· have he : l.2=Fin.last N := Fin.ext (by have := l.2.isLt; simp only [Fin.val_last]; omega)
change finiteRow W (l.1,Fin.last N) x=finiteRow W l x
rw [← he]
theorem finiteInverse_frozen (W : FrozenWeights) (x : FInput N) : finiteInverseFunction W (finiteFrozen N W x)=x := by
funext a
cases a with
| inl i =>
rw [finiteInverse_row,finiteRow_frozen]
rfl
| inr γ =>
rcases γ with ⟨l,b⟩
rw [finiteInverse_block,finiteRow_frozen,finiteNext_frozen]
change x (.inr ⟨l,b⟩)+_ - _=x (.inr ⟨l,b⟩)
ring
def finiteEquiv (N : ℕ) (W : FrozenWeights) : FInput N ≃L[ℝ] FInput N :=
ContinuousLinearEquiv.ofBijective (finiteFrozen N W)
(LinearMap.ker_eq_bot.mpr (fun x y h => by
change finiteFrozen N W x=finiteFrozen N W y at h
simpa only [finiteInverse_frozen] using congrArg (finiteInverseFunction W) h))
(LinearMap.range_eq_top.mpr (fun y => ⟨finiteInverseFunction W y,finiteFrozen_inverse W y⟩))
theorem finiteEquiv_symm_apply (N : ℕ) (W : FrozenWeights) (y : FInput N) :
(finiteEquiv N W).symm y=finiteInverseFunction W y := by
apply (finiteEquiv N W).injective
rw [ContinuousLinearEquiv.apply_symm_apply]
exact (finiteFrozen_inverse W y).symm
theorem finiteFrozen_lower (W : FrozenWeights) (x : FInput N) : ‖x‖≤5*‖finiteFrozen N W x‖ := by
simpa only [finiteInverse_frozen] using finiteInverse_bound W (finiteFrozen N W x)
theorem finiteEquiv_symm_norm (N : ℕ) (W : FrozenWeights) : ‖((finiteEquiv N W).symm : FInput N →L[ℝ] FInput N)‖≤5 := by
apply ContinuousLinearMap.opNorm_le_bound _ (by norm_num)
intro y
rw [ContinuousLinearEquiv.coe_coe,finiteEquiv_symm_apply]
exact finiteInverse_bound W y
end
end C0Absorption
end OAI