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 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 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