import OAI.Probability.SATComputability.HierarchyExpectation import OAI.Probability.SATComputability.HierarchyBounds import OAI.Probability.SATComputability.WeightedExpressions namespace OAI namespace FixedClauseThreshold.Computability open Nat.Partrec Encodable Denumerable FiniteArithmetic open RapidForcing.EffectiveArithmetic local instance hierarchyTableRatPrimcodable : Primcodable ℚ := PeriodicLattice.RecursiveArithmetic.ratPrimcodable local instance hierarchyTableCodeEq : DecidableEq Code := Encodable.decidableEqOfEncodable Code local instance hierarchyTableListBEq : BEq (List Code) := instBEqOfDecidableEq abbrev ExpressionTable := List (List Code × Code) noncomputable def tableLookup (tab : ExpressionTable) (cs : List Code) : Code := (tab.lookup cs).getD .zero @[fun_prop] theorem tableLookup_computable : Computable (fun p : ExpressionTable × List Code => tableLookup p.1 p.2) := by unfold tableLookup exact (Primrec.option_getD.comp ((Primrec.listLookup (α := List Code) (β := Code)).comp Primrec.snd Primrec.fst) (Primrec.const Code.zero)).to_comp theorem tableLookup_map (states : List (List Code)) (f : List Code → Code) {cs : List Code} (hcs : cs ∈ states) : tableLookup (states.map (fun ds => (ds, f ds))) cs = f cs := by unfold tableLookup rw [List.lookup_graph f hcs] rfl noncomputable def layerExpression (m : ℚ) (tab : ExpressionTable) (cs : List Code) : Code := .comp (rationalExpression m⁻¹) (logMixtureExpression ((chooseChildren cs).map (fun b => (b.1, Code.comp (rationalExpression m) (tableLookup tab b.2))))) @[fun_prop] theorem layerExpression_computable : Computable (fun p : ℚ × ExpressionTable × List Code => layerExpression p.1 p.2.1 p.2.2) := by have hl : Computable (fun p : ℚ × ExpressionTable × List Code => (chooseChildren p.2.2).map (fun b => (b.1, Code.comp (rationalExpression p.1) (tableLookup p.2.1 b.2)))) := by apply computable_list_map (chooseChildren_computable.comp (by fun_prop)) unfold Computable₂ fun_prop unfold layerExpression fun_prop noncomputable def tableLayer (states : List (List Code)) (m : ℚ) (tab : ExpressionTable) : ExpressionTable := states.map (fun cs => (cs, layerExpression m tab cs)) @[fun_prop] theorem tableLayer_computable : Computable (fun p : List (List Code) × ℚ × ExpressionTable => tableLayer p.1 p.2.1 p.2.2) := by unfold tableLayer apply computable_list_map Computable.fst unfold Computable₂ fun_prop noncomputable def hierarchyTable (states : List (List Code)) (ms : List ℚ) (initial : ExpressionTable) : ExpressionTable := ms.foldr (fun m tab => tableLayer states m tab) initial @[fun_prop] theorem hierarchyTable_computable : Computable (fun p : List (List Code) × List ℚ × ExpressionTable => hierarchyTable p.1 p.2.1 p.2.2) := by unfold hierarchyTable exact computable_list_foldr (f := fun p : List (List Code) × List ℚ × ExpressionTable => p.2.1) (g := fun p => p.2.2) (h := fun p q => tableLayer p.1 q.1 q.2) (by fun_prop) (by fun_prop) (by unfold Computable₂; fun_prop) noncomputable def listLogMean : List ℚ → (List Code → ℝ) → List Code → ℝ | [], g, cs => g cs | m::ms, g, cs => Real.log (branchSum (chooseChildren cs) (fun ds => Real.exp ((m : ℝ)*listLogMean ms g ds))) / (m : ℝ) theorem layerExpression_value (m : ℚ) (tab : ExpressionTable) (cs : List Code) : expressionValue (layerExpression m tab cs) = Real.log (branchSum (chooseChildren cs) (fun ds => Real.exp ((m : ℝ)*expressionValue (tableLookup tab ds)))) / (m : ℝ) := by have hw : ∀ b ∈ (chooseChildren cs).map (fun b => (b.1, Code.comp (rationalExpression m) (tableLookup tab b.2))), 0 ≤ b.1 := by intro b hb obtain ⟨d, hd, rfl⟩ := List.mem_map.mp hb exact chooseChildren_nonneg cs d hd have hs : (((chooseChildren cs).map (fun b => (b.1, Code.comp (rationalExpression m) (tableLookup tab b.2)))).map Prod.fst).sum = 1 := by simpa only [List.map_map, Function.comp_def] using chooseChildren_sum cs simp only [layerExpression, expressionValue, rationalExpression_value, Rat.cast_inv, logMixtureExpression_value _ hw hs, List.map_map, Function.comp_def, branchSum] ring theorem chooseChildren_in_states {B L : ℕ} {cs : List Code} (hcs : cs ∈ hierarchyStates B L) : ∀ b ∈ chooseChildren cs, b.2 ∈ hierarchyStates B L := by obtain ⟨hL, hB⟩ := (mem_hierarchyStates B L cs).mp hcs intro b hb apply (mem_hierarchyStates B L b.2).mpr refine ⟨(chooseChildren_length cs b hb).trans hL, ?_⟩ have hall : ∀ c ∈ cs, Encodable.encode c ≤ B := hB clear hL hcs hB induction cs generalizing b with | nil => have he : b = (1, []) := by simpa only [chooseChildren, List.foldr_nil, List.mem_singleton] using hb simp [he] | cons c cs ih => obtain ⟨x, hx, hymap⟩ := List.mem_flatMap.mp hb obtain ⟨y, hymem, rfl⟩ := List.mem_map.mp hymap intro d hd rcases List.mem_cons.mp hd with rfl | hd · exact (normalizedBranches_code_le c x hx).trans (hall c (by simp)) · exact ih y hymem (fun z hz => hall z (List.mem_cons_of_mem c hz)) d hd theorem hierarchyTable_value (B L : ℕ) (ms : List ℚ) (initial : ExpressionTable) (g : List Code → ℝ) (hinit : ∀ cs ∈ hierarchyStates B L, expressionValue (tableLookup initial cs) = g cs) (cs : List Code) (hcs : cs ∈ hierarchyStates B L) : expressionValue (tableLookup (hierarchyTable (hierarchyStates B L) ms initial) cs) = listLogMean ms g cs := by induction ms generalizing cs with | nil => exact hinit cs hcs | cons m ms ih => change expressionValue (tableLookup (tableLayer (hierarchyStates B L) m (hierarchyTable (hierarchyStates B L) ms initial)) cs) = _ rw [tableLayer, tableLookup_map _ _ hcs, layerExpression_value, listLogMean] congr 2 unfold branchSum congr 1 apply List.map_congr_left intro b hb change (b.1 : ℝ) * Real.exp ((m : ℝ) * expressionValue (tableLookup (hierarchyTable (hierarchyStates B L) ms initial) b.2)) = (b.1 : ℝ) * Real.exp ((m : ℝ) * listLogMean ms g b.2) rw [ih b.2 (chooseChildren_in_states hcs b hb)] end FixedClauseThreshold.Computability end OAI