import Mathlib.LinearAlgebra.Dimension.Finrank import OAI.Computability.PerfectCompleteness.Algebra.EvaluationMatrix import OAI.Computability.PerfectCompleteness.Algebra.UniformLinearImage import OAI.Computability.PerfectCompleteness.Foundations.HierarchicalArrays namespace OAI namespace PerfectCompleteness.NodeEmbedding open TreeSourceSpaces HierarchicalArrays open UniqueGamesTheorem.Foundations.Games open scoped Classical noncomputable section variable {branch : Nat → Nat} {n t : Nat} abbrev NumberedDomain (slots : RecursiveSpaces.Slots branch n → Fin t → MixedSupport.Slot) := MixedSupport.Assignment (TreeCanonical.numberedSlots slots) abbrev NodeH (slots : RecursiveSpaces.Slots branch n → Fin t → MixedSupport.Slot) (node : Nodes branch n) := H (nodeSlots slots node) variable (slots : RecursiveSpaces.Slots branch n → Fin t → MixedSupport.Slot) (node : Nodes branch n) def numberedRestriction : NumberedDomain slots → Domain (nodeSlots slots node) := restrictNode slots node ∘ (TreeCanonical.assignmentEquiv slots).symm theorem numberedRestriction_surjective : Function.Surjective (numberedRestriction slots node) := (restrictNode_surjective slots node).comp (TreeCanonical.assignmentEquiv slots).symm.surjective theorem pullback_injective : Function.Injective (PointwiseSpaces.pullback F2 (numberedRestriction slots node)) := PointwiseSpaces.pullback_injective _ (numberedRestriction_surjective slots node) def RowSpace : Submodule F2 (NumberedDomain slots → F2) := (NodeH slots node).map (PointwiseSpaces.pullback F2 (numberedRestriction slots node)) def equiv : NodeH slots node ≃ₗ[F2] RowSpace slots node := Submodule.equivMapOfInjective (PointwiseSpaces.pullback F2 (numberedRestriction slots node)) (pullback_injective slots node) (NodeH slots node) def embed : NodeH slots node →ₗ[F2] RowSpace slots node := (equiv slots node).toLinearMap @[simp] theorem equiv_apply (f : NodeH slots node) (x : NumberedDomain slots) : (equiv slots node f).val x = f.val (numberedRestriction slots node x) := rfl @[simp] theorem embed_apply (f : NodeH slots node) (x : NumberedDomain slots) : (embed slots node f).val x = f.val (numberedRestriction slots node x) := rfl theorem embed_injective : Function.Injective (embed slots node) := (equiv slots node).injective theorem embed_surjective : Function.Surjective (embed slots node) := (equiv slots node).surjective theorem finrank_eq : Module.finrank F2 (RowSpace slots node) = Module.finrank F2 (NodeH slots node) := (equiv slots node).finrank_eq.symm theorem card_eq : Nat.card (RowSpace slots node) = Nat.card (NodeH slots node) := (Nat.card_congr (equiv slots node).toEquiv).symm theorem uniform_embed [Fintype (NodeH slots node)] [Fintype (RowSpace slots node)] : (FiniteDistribution.uniform (NodeH slots node)).pushforward (embed slots node) = FiniteDistribution.uniform (RowSpace slots node) := UniformLinearImage.uniform_pushforward_linearMap (embed slots node) (embed_surjective slots node) def rowsEquiv (ℓ : Nat) : (Fin ℓ → NodeH slots node) ≃ₗ[F2] (Fin ℓ → RowSpace slots node) := LinearEquiv.piCongrRight (fun _ : Fin ℓ => equiv slots node) @[simp] theorem rowsEquiv_apply (ℓ : Nat) (f : Fin ℓ → NodeH slots node) (i : Fin ℓ) : rowsEquiv slots node ℓ f i = embed slots node (f i) := rfl theorem uniform_rowsEquiv (ℓ : Nat) [Fintype (NodeH slots node)] [Fintype (RowSpace slots node)] : (FiniteDistribution.uniform (Fin ℓ → NodeH slots node)).pushforward (rowsEquiv slots node ℓ) = FiniteDistribution.uniform (Fin ℓ → RowSpace slots node) := UniformLinearImage.uniform_pushforward_linearMap (rowsEquiv slots node ℓ).toLinearMap (rowsEquiv slots node ℓ).surjective theorem squareSpace_eq : PointwiseSpaces.squareSpace (RowSpace slots node) = (PointwiseSpaces.squareSpace (NodeH slots node)).map (PointwiseSpaces.pullback F2 (numberedRestriction slots node)) := (PointwiseSpaces.squareSpace_map_pullback (numberedRestriction slots node) (NodeH slots node)).symm theorem embed_mul (f g : NodeH slots node) : (embed slots node f).val * (embed slots node g).val = PointwiseSpaces.pullback F2 (numberedRestriction slots node) (f.val * g.val) := rfl def RootRowSpace : Submodule F2 (NumberedDomain slots → F2) := (H slots).map (PointwiseSpaces.pullback F2 (TreeCanonical.assignmentEquiv slots).symm) theorem rowSpace_le_root (hbranch : ∀ k < n, 0 < branch k) : RowSpace slots node ≤ RootRowSpace slots := by intro f hf obtain ⟨g, hg, rfl⟩ := Submodule.mem_map.mp hf have hroot : PointwiseSpaces.pullback F2 (restrictNode slots node) g ∈ H slots := DescendantSpaces.space_descendant_le (Nodes.path node) (LeafDomain slots) hbranch (Submodule.mem_map_of_mem hg) exact Submodule.mem_map.mpr ⟨PointwiseSpaces.pullback F2 (restrictNode slots node) g, hroot, rfl⟩ theorem squareSpace_le_root (hbranch : ∀ k < n, 0 < branch k) (hproper : Nodes.height node < n) : PointwiseSpaces.squareSpace (RowSpace slots node) ≤ RootRowSpace slots := by rw [squareSpace_eq] intro f hf obtain ⟨g, hg, rfl⟩ := Submodule.mem_map.mp hf have hroot : PointwiseSpaces.pullback F2 (restrictNode slots node) g ∈ H slots := DescendantSpaces.descendant_square_le_space (Nodes.path node) (LeafDomain slots) hbranch hproper (Submodule.mem_map_of_mem hg) exact Submodule.mem_map.mpr ⟨PointwiseSpaces.pullback F2 (restrictNode slots node) g, hroot, rfl⟩ variable {slots} {rows : Nat → Nat} def embeddedRows (arrays : Arrays slots rows) (node : Nodes branch n) : Fin (rows (Nodes.height node)) → RowSpace slots node := fun i => embed slots node (arrays node i) @[simp] theorem embeddedRows_apply (arrays : Arrays slots rows) (node : Nodes branch n) (i : Fin (rows (Nodes.height node))) (x : NumberedDomain slots) : (embeddedRows arrays node i).val x = (TreeCanonical.numberedFunction slots (fullJoint arrays) x).1 node i := rfl def matrix (arrays : Arrays slots rows) (node : Nodes branch n) : Module.Dual F2 (RowSpace slots node) →ₗ[F2] Block rows node := EvaluationMatrix.ofRows (RowSpace slots node) (embeddedRows arrays node) @[simp] theorem matrix_evaluate (arrays : Arrays slots rows) (node : Nodes branch n) (x : NumberedDomain slots) : EvaluationMatrix.evaluate (RowSpace slots node) (matrix arrays node) x = (TreeCanonical.numberedFunction slots (fullJoint arrays) x).1 node := rfl theorem evaluation_comp_embed (x : NumberedDomain slots) : (EvaluationMatrix.evaluation (RowSpace slots node) x).comp (embed slots node) = EvaluationMatrix.evaluation (NodeH slots node) (numberedRestriction slots node x) := by ext f rfl end end PerfectCompleteness.NodeEmbedding end OAI