Download lean/OAI/Probability/SKGap/Matrix/CompletedMatrix.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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15.5 kB
| import Mathlib | |
| import OAI.Probability.SKGap.Localization.IntegrableLinearCombinationSq | |
| import OAI.Probability.SKGap.Localization.ProdEventSectionLaw | |
| namespace OAI | |
| section | |
| open scoped BigOperators | |
| open scoped BigOperators | |
| open scoped BigOperators | |
| open scoped BigOperators | |
| open scoped BigOperators | |
| open scoped BigOperators NNReal | |
| open MeasureTheory ProbabilityTheory | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal | |
| open MeasureTheory ProbabilityTheory | |
| open scoped BigOperators NNReal ENNReal | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal ENNReal | |
| open MeasureTheory ProbabilityTheory | |
| open scoped BigOperators Matrix Matrix.Norms.Elementwise | |
| open scoped BigOperators | |
| open MeasureTheory ProbabilityTheory | |
| open scoped BigOperators Matrix Matrix.Norms.Elementwise | |
| open scoped BigOperators | |
| open scoped BigOperators NNReal ENNReal | |
| open MeasureTheory Metric Set | |
| open scoped BigOperators NNReal ENNReal | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped BigOperators NNReal ENNReal Matrix.Norms.L2Operator | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped BigOperators Matrix.Norms.L2Operator | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped BigOperators Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators ENNReal NNReal | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal ENNReal Matrix | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators ENNReal NNReal | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal ENNReal | |
| open scoped BigOperators | |
| open MeasureTheory ProbabilityTheory | |
| open scoped BigOperators Matrix Matrix.Norms.Elementwise NNReal ENNReal | |
| open scoped BigOperators | |
| open Filter Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal ENNReal Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped BigOperators NNReal ENNReal Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal NNReal Topology BigOperators | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal NNReal Topology BigOperators | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal NNReal Topology BigOperators | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal NNReal Topology BigOperators | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| namespace SKGapCutoff.Regression | |
| local instance {n m : ℕ} : MeasurableSpace (Matrix (Fin n) (Fin m) ℝ) := | |
| inferInstanceAs (MeasurableSpace (Fin n → Fin m → ℝ)) | |
| noncomputable def completedMatrix {n r : ℕ} (U Y : Matrix (Fin n) (Fin r) ℝ) | |
| (g : (Fin n × Fin n) → ℝ) : Matrix (Fin n) (Fin n) ℝ := | |
| revealedCompletion U Y + residualProjection U*goe g*residualProjection U | |
| lemma completedMatrix_symmetric {n r : ℕ} (U Y : Matrix (Fin n) (Fin r) ℝ) | |
| (hY : Uᵀ*Y=Yᵀ*U) (g : (Fin n × Fin n) → ℝ) : | |
| (completedMatrix U Y g)ᵀ=completedMatrix U Y g := by | |
| simp only [completedMatrix,Matrix.transpose_add,Matrix.transpose_mul, | |
| revealedCompletion_symmetric U Y hY,residualProjection_symmetric,goe_symmetric, | |
| Matrix.mul_assoc] | |
| lemma completedMatrix_answer {n r : ℕ} (U Y : Matrix (Fin n) (Fin r) ℝ) | |
| (hU : Uᵀ*U=1) (hY : Uᵀ*Y=Yᵀ*U) (g : (Fin n × Fin n) → ℝ) : | |
| completedMatrix U Y g*U=Y := by | |
| rw [completedMatrix,Matrix.add_mul,revealedCompletion_answer U Y hU hY, | |
| Matrix.mul_assoc,residualProjection_mul U hU,Matrix.mul_zero,add_zero] | |
| lemma mul_extendFrame {n r : ℕ} (A : Matrix (Fin n) (Fin n) ℝ) | |
| (U : Matrix (Fin n) (Fin r) ℝ) (q : Fin n → ℝ) : | |
| A*extendFrame U q=extendFrame (A*U) (A *ᵥ q) := by | |
| funext i a | |
| obtain rfl | ⟨a,rfl⟩ := Fin.eq_zero_or_eq_succ a | |
| · rfl | |
| · rfl | |
| lemma extendedProjection_mul_old {n r : ℕ} (U : Matrix (Fin n) (Fin r) ℝ) | |
| (q : Fin n → ℝ) (hU : Uᵀ*U=1) (ho : Uᵀ *ᵥ q=0) : | |
| residualProjection (extendFrame U q)*residualProjection U= | |
| residualProjection (extendFrame U q) := by | |
| have hqU : (queryColumn q)ᵀ*U=0 := by | |
| ext a b | |
| fin_cases a | |
| have hh := congrFun ho b | |
| simpa only [Matrix.mul_apply,Matrix.transpose_apply,queryColumn,Matrix.mulVec, | |
| dotProduct,Matrix.zero_apply,Pi.zero_apply,mul_comm] using hh | |
| have hqP : (queryColumn q)ᵀ*residualProjection U=(queryColumn q)ᵀ := by | |
| rw [residualProjection,Matrix.mul_sub,Matrix.mul_one, | |
| ← Matrix.mul_assoc,hqU,Matrix.zero_mul,sub_zero] | |
| rw [extendFrame_projection,queryComplement,Matrix.sub_mul, | |
| residualProjection_idem U hU,Matrix.mul_assoc,hqP] | |
| lemma old_mul_extendedProjection {n r : ℕ} (U : Matrix (Fin n) (Fin r) ℝ) | |
| (q : Fin n → ℝ) (hU : Uᵀ*U=1) (ho : Uᵀ *ᵥ q=0) : | |
| residualProjection U*residualProjection (extendFrame U q)= | |
| residualProjection (extendFrame U q) := by | |
| have hh := congrArg Matrix.transpose (extendedProjection_mul_old U q hU ho) | |
| simpa only [Matrix.transpose_mul,residualProjection_symmetric] using hh | |
| lemma completedMatrix_new_residual {n r : ℕ} (U Y : Matrix (Fin n) (Fin r) ℝ) | |
| (q : Fin n → ℝ) (hU : Uᵀ*U=1) (ho : Uᵀ *ᵥ q=0) | |
| (g : (Fin n × Fin n) → ℝ) : | |
| residualProjection (extendFrame U q)*completedMatrix U Y g* | |
| residualProjection (extendFrame U q)= | |
| residualProjection (extendFrame U q)*goe g*residualProjection (extendFrame U q) := by | |
| let P := residualProjection U | |
| let Q := residualProjection (extendFrame U q) | |
| have hQP : Q*P=Q := extendedProjection_mul_old U q hU ho | |
| have hPQ : P*Q=Q := old_mul_extendedProjection U q hU ho | |
| have hR : Q*revealedCompletion U Y*Q=0 := by | |
| calc | |
| _ = Q*(P*revealedCompletion U Y*P)*Q := by | |
| simp only [← Matrix.mul_assoc,hQP] | |
| rw [Matrix.mul_assoc (Q*revealedCompletion U Y) P Q,hPQ] | |
| _ = 0 := by rw [revealedCompletion_residual U Y hU,Matrix.mul_zero,Matrix.zero_mul] | |
| change Q*(revealedCompletion U Y+P*goe g*P)*Q=Q*goe g*Q | |
| rw [Matrix.mul_add,Matrix.add_mul,hR,zero_add] | |
| simp only [← Matrix.mul_assoc,hQP] | |
| rw [Matrix.mul_assoc (Q*goe g) P Q,hPQ] | |
| theorem completedMatrix_update {n r : ℕ} (U Y : Matrix (Fin n) (Fin r) ℝ) | |
| (q : Fin n → ℝ) (hU : Uᵀ*U=1) (hY : Uᵀ*Y=Yᵀ*U) (ho : Uᵀ *ᵥ q=0) | |
| (g : (Fin n × Fin n) → ℝ) : | |
| completedMatrix U Y g = | |
| revealedCompletion (extendFrame U q) (extendFrame Y (completedMatrix U Y g *ᵥ q))+ | |
| residualProjection (extendFrame U q)*goe g*residualProjection (extendFrame U q) := by | |
| have hh := regression_decomposition (completedMatrix U Y g) (extendFrame U q) | |
| (completedMatrix_symmetric U Y hY g) | |
| simpa only [mul_extendFrame,completedMatrix_answer U Y hU hY, | |
| revealedCompletion,completedMatrix_new_residual U Y q hU ho] using hh | |
| lemma completedMatrix_new_compatibility {n r : ℕ} (U Y : Matrix (Fin n) (Fin r) ℝ) | |
| (q : Fin n → ℝ) (hU : Uᵀ*U=1) (hY : Uᵀ*Y=Yᵀ*U) (g : (Fin n × Fin n) → ℝ) : | |
| (extendFrame U q)ᵀ*extendFrame Y (completedMatrix U Y g *ᵥ q)= | |
| (extendFrame Y (completedMatrix U Y g *ᵥ q))ᵀ*extendFrame U q := by | |
| have he : completedMatrix U Y g*extendFrame U q= | |
| extendFrame Y (completedMatrix U Y g *ᵥ q) := by | |
| rw [mul_extendFrame,completedMatrix_answer U Y hU hY g] | |
| rw [← he,Matrix.transpose_mul,completedMatrix_symmetric U Y hY g,Matrix.mul_assoc] | |
| lemma completedMatrix_input_decomposition {n r : ℕ} (U Y : Matrix (Fin n) (Fin r) ℝ) | |
| (hU : Uᵀ*U=1) (hY : Uᵀ*Y=Yᵀ*U) (v : Fin n → ℝ) | |
| (g : (Fin n × Fin n) → ℝ) : | |
| completedMatrix U Y g *ᵥ v = Y *ᵥ (Uᵀ *ᵥ v)+ | |
| completedMatrix U Y g *ᵥ (residualProjection U *ᵥ v) := by | |
| simp only [residualProjection,Matrix.sub_mulVec,Matrix.one_mulVec, | |
| Matrix.mulVec_sub,Matrix.mulVec_mulVec] | |
| rw [← Matrix.mul_assoc,completedMatrix_answer U Y hU hY g] | |
| abel | |
| @[fun_prop] lemma measurable_revealedCompletion {n r : ℕ} : | |
| Measurable (fun z : Matrix (Fin n) (Fin r) ℝ × Matrix (Fin n) (Fin r) ℝ => | |
| revealedCompletion z.1 z.2) := by | |
| apply Measurable.of_eval | |
| intro i | |
| apply Measurable.of_eval | |
| intro j | |
| simp only [revealedCompletion,Matrix.add_apply,Matrix.sub_apply, | |
| Matrix.mul_apply,Matrix.transpose_apply] | |
| fun_prop | |
| @[fun_prop] lemma measurable_extendFrame {n r : ℕ} : | |
| Measurable (fun z : Matrix (Fin n) (Fin r) ℝ × (Fin n → ℝ) => extendFrame z.1 z.2) := by | |
| apply Measurable.of_eval | |
| intro i | |
| apply Measurable.of_eval | |
| intro a | |
| obtain rfl | ⟨a,rfl⟩ := Fin.eq_zero_or_eq_succ a | |
| · exact (measurable_pi_apply i).comp measurable_snd | |
| · exact (measurable_pi_apply a).comp ((measurable_pi_apply i).comp measurable_fst) | |
| theorem completedMatrix_regeneration {n r : ℕ} (hn : 0 < n) {H : Type*} | |
| [MeasurableSpace H] (ρ : Measure H) [SFinite ρ] | |
| (U Y : H → Matrix (Fin n) (Fin r) ℝ) (q : H → Fin n → ℝ) | |
| (hUm : Measurable U) (hYm : Measurable Y) (hqm : Measurable q) | |
| (hU : ∀ h, (U h)ᵀ*U h=1) (hY : ∀ h, (U h)ᵀ*Y h=(Y h)ᵀ*U h) | |
| (hq : ∀ h, ∑ i, q h i^2=1) (ho : ∀ h, (U h)ᵀ *ᵥ q h=0) : | |
| let p := fun h => U h *ᵥ ((Y h)ᵀ *ᵥ q h) | |
| (ρ.prod (standardArrayLaw (Fin n × Fin n))).map | |
| (fun z => ((z.1,completedMatrix (U z.1) (Y z.1) z.2 *ᵥ q z.1), | |
| completedMatrix (U z.1) (Y z.1) z.2)) = | |
| ((answerHistoryLaw ρ (fun h => residualProjection (U h)) q).prod | |
| (standardArrayLaw (Fin n × Fin n))).map | |
| (fun z => ((z.1.1,p z.1.1+z.1.2), | |
| completedMatrix (extendFrame (U z.1.1) (q z.1.1)) | |
| (extendFrame (Y z.1.1) (p z.1.1+z.1.2)) z.2)) := by | |
| dsimp only | |
| let P := fun h => residualProjection (U h) | |
| let p := fun h => U h *ᵥ ((Y h)ᵀ *ᵥ q h) | |
| have hU' : Measurable (fun h => fun i j => U h i j) := hUm | |
| have hY' : Measurable (fun h => fun i j => Y h i j) := hYm | |
| have hPm : Measurable P := by | |
| apply Measurable.of_eval | |
| intro i | |
| apply Measurable.of_eval | |
| intro j | |
| simp only [P,residualProjection,Matrix.sub_apply,Matrix.mul_apply,Matrix.transpose_apply] | |
| fun_prop | |
| have hpm : Measurable p := by | |
| apply Measurable.of_eval | |
| intro i | |
| simp only [p,Matrix.mulVec,dotProduct,Matrix.transpose_apply] | |
| fun_prop | |
| have hPq h : P h *ᵥ q h=q h := by | |
| dsimp [P,residualProjection] | |
| rw [Matrix.sub_mulVec,Matrix.one_mulVec,← Matrix.mulVec_mulVec,ho, | |
| Matrix.mulVec_zero,sub_zero] | |
| have hPqc h : P h*queryColumn (q h)=queryColumn (q h) := by | |
| ext i a | |
| fin_cases a | |
| exact congrFun (hPq h) i | |
| have hj := adaptive_query_regeneration hn ρ P q hPm hqm | |
| (fun h => residualProjection_symmetric (U h)) | |
| (fun h => residualProjection_idem (U h) (hU h)) hq hPqc | |
| let out : (H × (Fin n → ℝ)) × ((Fin n × Fin n) → ℝ) → | |
| (H × (Fin n → ℝ)) × Matrix (Fin n) (Fin n) ℝ := fun z => | |
| ((z.1.1,p z.1.1+z.1.2), | |
| revealedCompletion (extendFrame (U z.1.1) (q z.1.1)) | |
| (extendFrame (Y z.1.1) (p z.1.1+z.1.2))+Matrix.of (fun i j => z.2 (i,j))) | |
| have hout : Measurable out := by | |
| have ha : Measurable (fun z : (H × (Fin n → ℝ)) × ((Fin n × Fin n) → ℝ) => | |
| p z.1.1+z.1.2) := (hpm.comp measurable_fst.fst).add measurable_fst.snd | |
| have hu' : Measurable (fun z : (H × (Fin n → ℝ)) × ((Fin n × Fin n) → ℝ) => | |
| extendFrame (U z.1.1) (q z.1.1)) := measurable_extendFrame.comp | |
| ((hUm.comp measurable_fst.fst).prodMk (hqm.comp measurable_fst.fst)) | |
| have hy' : Measurable (fun z : (H × (Fin n → ℝ)) × ((Fin n × Fin n) → ℝ) => | |
| extendFrame (Y z.1.1) (p z.1.1+z.1.2)) := measurable_extendFrame.comp ((hYm.comp measurable_fst.fst).prodMk ha) | |
| have hc := measurable_revealedCompletion.comp (hu'.prodMk hy') | |
| apply (measurable_fst.fst.prodMk ha).prodMk | |
| apply Measurable.of_eval | |
| intro i | |
| apply Measurable.of_eval | |
| intro j | |
| exact (((measurable_pi_apply j).comp (measurable_pi_apply i)).comp hc).add | |
| ((measurable_pi_apply (i,j)).comp measurable_snd) | |
| have hmL : Measurable (fun z : H × ((Fin n × Fin n) → ℝ) => | |
| ((z.1, queryAnswer (P z.1) (q z.1) z.2),queryResidual (P z.1) (q z.1) z.2)) := | |
| (measurable_fst.prodMk (measurable_queryAnswer_comp _ _ _ | |
| (hPm.comp measurable_fst) (hqm.comp measurable_fst) measurable_snd)).prodMk | |
| (measurable_queryResidual_comp _ _ _ (hPm.comp measurable_fst) | |
| (hqm.comp measurable_fst) measurable_snd) | |
| have hmR : Measurable (fun z : (H × (Fin n → ℝ)) × ((Fin n × Fin n) → ℝ) => | |
| (z.1,queryResidual (P z.1.1) (q z.1.1) z.2)) := | |
| measurable_fst.prodMk (measurable_queryResidual_comp _ _ _ | |
| (hPm.comp measurable_fst.fst) (hqm.comp measurable_fst.fst) measurable_snd) | |
| have he := congrArg (Measure.map out) hj | |
| rw [Measure.map_map hout hmL,Measure.map_map hout hmR] at he | |
| have hof (A : Matrix (Fin n) (Fin n) ℝ) : Matrix.of (fun i j => A i j)=A := rfl | |
| have hpoint (z : H × ((Fin n × Fin n) → ℝ)) : out ((z.1,queryAnswer (P z.1) (q z.1) z.2), | |
| queryResidual (P z.1) (q z.1) z.2) = | |
| ((z.1,completedMatrix (U z.1) (Y z.1) z.2 *ᵥ q z.1), | |
| completedMatrix (U z.1) (Y z.1) z.2) := by | |
| have ha := completed_query_answer (U z.1) (Y z.1) (q z.1) z.2 (ho z.1) (hPq z.1) | |
| change completedMatrix (U z.1) (Y z.1) z.2 *ᵥ q z.1=p z.1+queryAnswer (P z.1) (q z.1) z.2 at ha | |
| dsimp only [out] | |
| rw [← ha] | |
| congr 1 | |
| simpa only [extendFrame_projection,P,queryResidual,hof] using | |
| (completedMatrix_update (U z.1) (Y z.1) (q z.1) (hU z.1) (hY z.1) (ho z.1) z.2).symm | |
| simp_rw [Function.comp_def,hpoint] at he | |
| simpa only [out,completedMatrix,queryResidual,← extendFrame_projection,P,p,hof] using he | |
| end SKGapCutoff.Regression | |
| open MeasureTheory ProbabilityTheory Filter Matrix | |
| open scoped NNReal ENNReal BigOperators Topology Matrix Matrix.Norms.Elementwise | |
| end | |
| end OAI | |