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Add lean source and binary files (part 62)
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import OAI.Computability.PerfectCompleteness.Algebra.HierarchicalMatrixTable
import OAI.Computability.PerfectCompleteness.Foundations.QuarterBalanceLemmas
import OAI.Computability.PerfectCompleteness.Sampling.BucketUniformLemmas
import OAI.Computability.PerfectCompleteness.Sampling.WholeArraySampler
namespace OAI
section
namespace PerfectCompleteness.HierarchicalArrayLaw
noncomputable section
open scoped Classical
open TreeSourceSpaces HierarchicalArrays
open UniqueGamesTheorem.Foundations.Games
variable {branch : Nat → Nat} {n t : Nat}
(slots : RecursiveSpaces.Slots branch n → Fin t → MixedSupport.Slot)
(rows : Nat → Nat)
abbrev NativeRows (node : Nodes branch n) :=
Fin (rows (Nodes.height node)) → NodeEmbedding.NodeH slots node
def law (μ : (node : Nodes branch n) → FiniteDistribution (NativeRows slots rows node)) :
FiniteDistribution (Arrays slots rows) :=
FiniteProduct.law μ
def otherLaw (μ : (node : Nodes branch n) → FiniteDistribution (NativeRows slots rows node))
(node : Nodes branch n) :
FiniteDistribution (HierarchicalMatrixTable.Background (rows := rows) slots node) :=
FiniteProductSplit.otherLaw μ node
def nativeToMatrix (node : Nodes branch n) (v : NativeRows slots rows node) :
HierarchicalMatrixTable.Matrix (rows := rows) slots node :=
EvaluationMatrix.ofRows (NodeEmbedding.RowSpace slots node)
(NodeEmbedding.rowsEquiv slots node (rows (Nodes.height node)) v)
@[simp] theorem nativeToMatrix_selected (arrays : Arrays slots rows) (node : Nodes branch n) :
nativeToMatrix slots rows node (arrays node) = NodeEmbedding.matrix arrays node := rfl
private theorem pushforward_id {A : Type*} [Fintype A] (μ : FiniteDistribution A) :
μ.pushforward (fun a => a) = μ := by
apply FiniteDistribution.eq_of_weight_eq
intro a
simp [FiniteDistribution.pushforward]
theorem matrix_background_law
(μ : (node : Nodes branch n) → FiniteDistribution (NativeRows slots rows node))
(node : Nodes branch n)
[Fintype (HierarchicalMatrixTable.Matrix (rows := rows) slots node)] :
(law slots rows μ).pushforward (fun arrays =>
(NodeEmbedding.matrix arrays node, HierarchicalMatrixTable.backgroundOf slots node arrays)) =
((μ node).pushforward (nativeToMatrix slots rows node)).product
(otherLaw slots rows μ node) := by
have h := congrArg
(fun ν : FiniteDistribution (NativeRows slots rows node ×
HierarchicalMatrixTable.Background (rows := rows) slots node) =>
ν.pushforward (fun p => (nativeToMatrix slots rows node p.1, p.2)))
(FiniteProductSplit.split_law μ node)
rw [FiniteDistribution.pushforward_comp] at h
have hp := FiniteDistribution.product_pushforward
(μ node) (FiniteProductSplit.otherLaw μ node) (nativeToMatrix slots rows node)
(id : HierarchicalMatrixTable.Background (rows := rows) slots node →
HierarchicalMatrixTable.Background (rows := rows) slots node)
have hi : (FiniteProductSplit.otherLaw μ node).pushforward
(id : HierarchicalMatrixTable.Background (rows := rows) slots node →
HierarchicalMatrixTable.Background (rows := rows) slots node) =
FiniteProductSplit.otherLaw μ node := pushforward_id (FiniteProductSplit.otherLaw μ node)
rw [hi] at hp
exact h.trans (by simpa only [id_eq, otherLaw] using hp)
theorem uniform_nativeToMatrix (node : Nodes branch n)
[Fintype (HierarchicalMatrixTable.Matrix (rows := rows) slots node)] :
(FiniteDistribution.uniform (NativeRows slots rows node)).pushforward
(nativeToMatrix slots rows node) =
FiniteDistribution.uniform (HierarchicalMatrixTable.Matrix (rows := rows) slots node) := by
let : Fintype (NodeEmbedding.RowSpace slots node) := Fintype.ofFinite _
calc
_ = ((FiniteDistribution.uniform (NativeRows slots rows node)).pushforward
(NodeEmbedding.rowsEquiv slots node (rows (Nodes.height node)))).pushforward
(EvaluationMatrix.ofRows (NodeEmbedding.RowSpace slots node)) :=
(FiniteDistribution.pushforward_comp _ _ _).symm
_ = (FiniteDistribution.uniform
(Fin (rows (Nodes.height node)) → NodeEmbedding.RowSpace slots node)).pushforward
(EvaluationMatrix.ofRows (NodeEmbedding.RowSpace slots node)) := by
rw [NodeEmbedding.uniform_rowsEquiv]
_ = _ := UniformLinearImage.uniform_pushforward_linearMap
(BucketUniform.ofRowsLinear (NodeEmbedding.RowSpace slots node) (rows (Nodes.height node)))
(BucketUniform.ofRowsLinear_surjective
(NodeEmbedding.RowSpace slots node) (rows (Nodes.height node)))
theorem uniform_matrix_background_law
(μ : (node : Nodes branch n) → FiniteDistribution (NativeRows slots rows node))
(node : Nodes branch n)
[Fintype (HierarchicalMatrixTable.Matrix (rows := rows) slots node)]
(hselected : μ node = FiniteDistribution.uniform (NativeRows slots rows node)) :
(law slots rows μ).pushforward (fun arrays =>
(NodeEmbedding.matrix arrays node, HierarchicalMatrixTable.backgroundOf slots node arrays)) =
(FiniteDistribution.uniform
(HierarchicalMatrixTable.Matrix (rows := rows) slots node)).product
(otherLaw slots rows μ node) := by
rw [matrix_background_law, hselected, uniform_nativeToMatrix]
theorem matrix_coarse_background_law
(μ : (node : Nodes branch n) → FiniteDistribution (NativeRows slots rows node))
(node : Nodes branch n)
[Fintype (HierarchicalMatrixTable.Matrix (rows := rows) slots node)]
{B : Type*} [Fintype B]
(record : HierarchicalMatrixTable.Background (rows := rows) slots node → B) :
(law slots rows μ).pushforward (fun arrays =>
(NodeEmbedding.matrix arrays node, record (HierarchicalMatrixTable.backgroundOf slots node arrays))) =
((μ node).pushforward (nativeToMatrix slots rows node)).product
((otherLaw slots rows μ node).pushforward record) := by
have h := congrArg
(fun ν : FiniteDistribution
(HierarchicalMatrixTable.Matrix (rows := rows) slots node ×
HierarchicalMatrixTable.Background (rows := rows) slots node) =>
ν.pushforward (fun p => (p.1, record p.2)))
(matrix_background_law slots rows μ node)
rw [FiniteDistribution.pushforward_comp] at h
have hp := FiniteDistribution.product_pushforward
((μ node).pushforward (nativeToMatrix slots rows node)) (otherLaw slots rows μ node)
(id : HierarchicalMatrixTable.Matrix (rows := rows) slots node →
HierarchicalMatrixTable.Matrix (rows := rows) slots node) record
have hi : ((μ node).pushforward (nativeToMatrix slots rows node)).pushforward
(id : HierarchicalMatrixTable.Matrix (rows := rows) slots node →
HierarchicalMatrixTable.Matrix (rows := rows) slots node) =
(μ node).pushforward (nativeToMatrix slots rows node) :=
pushforward_id ((μ node).pushforward (nativeToMatrix slots rows node))
rw [hi] at hp
exact h.trans (by simpa only [id_eq] using hp)
theorem uniform_matrix_coarse_background_law
(μ : (node : Nodes branch n) → FiniteDistribution (NativeRows slots rows node))
(node : Nodes branch n)
[Fintype (HierarchicalMatrixTable.Matrix (rows := rows) slots node)]
(hselected : μ node = FiniteDistribution.uniform (NativeRows slots rows node))
{B : Type*} [Fintype B]
(record : HierarchicalMatrixTable.Background (rows := rows) slots node → B) :
(law slots rows μ).pushforward (fun arrays =>
(NodeEmbedding.matrix arrays node, record (HierarchicalMatrixTable.backgroundOf slots node arrays))) =
(FiniteDistribution.uniform
(HierarchicalMatrixTable.Matrix (rows := rows) slots node)).product
((otherLaw slots rows μ node).pushforward record) := by
rw [matrix_coarse_background_law, hselected, uniform_nativeToMatrix]
end
end PerfectCompleteness.HierarchicalArrayLaw
end
end OAI