File size: 8,993 Bytes
7d9f027 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 | import Mathlib
import OAI.Probability.SKGap.Matrix.CompletedMatrix
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
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 completedMatrixMeasurableSpace {n m : ℕ} :
MeasurableSpace (Matrix (Fin n) (Fin m) ℝ) :=
inferInstanceAs (MeasurableSpace (Fin n → Fin m → ℝ))
@[fun_prop] lemma measurable_completedMatrix {n r : ℕ} :
Measurable (fun z : (Matrix (Fin n) (Fin r) ℝ × Matrix (Fin n) (Fin r) ℝ) ×
((Fin n × Fin n) → ℝ) => completedMatrix z.1.1 z.1.2 z.2) := by
apply Measurable.of_eval
intro i
apply Measurable.of_eval
intro j
simp only [completedMatrix,revealedCompletion,residualProjection,goe,
Matrix.add_apply,Matrix.sub_apply,Matrix.mul_apply,Matrix.transpose_apply]
fun_prop
@[fun_prop] lemma measurable_revealedCompletion_comp {n r : ℕ} {H : Type*}
[MeasurableSpace H] (U Y : H → Matrix (Fin n) (Fin r) ℝ)
(hU : Measurable U) (hY : Measurable Y) :
Measurable (fun h => revealedCompletion (U h) (Y h)) := by
have hU' : Measurable (fun h i j => U h i j) := hU
have hY' : Measurable (fun h i j => Y h i j) := hY
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
theorem completedMatrix_section_law {n r : ℕ} (hn : 0 < n)
(U Y : Matrix (Fin n) (Fin r) ℝ) (q : Fin n → ℝ)
(hU : Uᵀ*U=1) (hY : Uᵀ*Y=Yᵀ*U)
(hq : ∑ i, q i^2=1) (ho : Uᵀ *ᵥ q=0) :
let p := U *ᵥ (Yᵀ *ᵥ q)
(standardArrayLaw (Fin n × Fin n)).map
(fun g => (completedMatrix U Y g *ᵥ q,completedMatrix U Y g)) =
((standardArrayLaw (Fin n × Fin n)).prod (standardArrayLaw (Fin n ⊕ Unit))).map
(fun z => (p+queryInnovation (residualProjection U) q z.2,
completedMatrix (extendFrame U q)
(extendFrame Y (p+queryInnovation (residualProjection U) q z.2)) z.1)) := by
dsimp only
let P := residualProjection U
let p := U *ᵥ (Yᵀ *ᵥ q)
have hPq : P *ᵥ q=q := by
simp only [P,residualProjection,Matrix.sub_mulVec,Matrix.one_mulVec,
← Matrix.mulVec_mulVec,ho,Matrix.mulVec_zero,sub_zero]
have hqc : P*queryColumn q=queryColumn q := by
ext i a
fin_cases a
exact congrFun hPq i
have hj := query_joint_law hn P (residualProjection_symmetric U)
(residualProjection_idem U hU) q hq hqc
let out : ((Fin n × Fin n) → ℝ) × (Fin n → ℝ) →
(Fin n → ℝ) × Matrix (Fin n) (Fin n) ℝ := fun z =>
(p+z.2,revealedCompletion (extendFrame U q) (extendFrame Y (p+z.2))+
Matrix.of (fun i j => z.1 (i,j)))
have ha : Measurable (fun z : ((Fin n × Fin n) → ℝ) × (Fin n → ℝ) => p+z.2) :=
measurable_const.add measurable_snd
have hy : Measurable (fun z : ((Fin n × Fin n) → ℝ) × (Fin n → ℝ) =>
extendFrame Y (p+z.2)) := measurable_extendFrame.comp (measurable_const.prodMk ha)
have hc : Measurable (fun z : ((Fin n × Fin n) → ℝ) × (Fin n → ℝ) =>
revealedCompletion (extendFrame U q) (extendFrame Y (p+z.2))) :=
measurable_revealedCompletion_comp _ _ measurable_const hy
have hout : Measurable out := by
apply 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_fst)
have hm1 := (queryResidual_measurable P q).prodMk (queryAnswer_measurable P q)
have hm2 : Measurable (fun z : ((Fin n × Fin n) → ℝ) × ((Fin n ⊕ Unit) → ℝ) =>
(queryResidual P q z.1,queryInnovation P q z.2)) :=
((queryResidual_measurable P q).comp measurable_fst).prodMk
((queryInnovation_measurable P q).comp measurable_snd)
have he := congrArg (Measure.map out) hj
rw [Measure.map_map hout hm1,Measure.map_map hout hm2] at he
have hof (A : Matrix (Fin n) (Fin n) ℝ) : Matrix.of (fun i j => A i j)=A := rfl
have hpoint g : out (queryResidual P q g,queryAnswer P q g)=
(completedMatrix U Y g *ᵥ q,completedMatrix U Y g) := by
have ha := completed_query_answer U Y q g ho hPq
change completedMatrix U Y g *ᵥ q=p+queryAnswer P q g at ha
dsimp only [out]
rw [← ha]
congr 1
simpa only [extendFrame_projection,P,queryResidual,hof] using
(completedMatrix_update U Y q hU hY ho g).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
|