openAI-math-dataset / lean /OAI /Probability /SATComputability /DisorderEnumeration.lean
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import OAI.Probability.SATComputability.PacketExpressions
import OAI.Probability.SATComputability.PoissonEvaluation
namespace OAI
namespace FixedClauseThreshold.Computability
open DilutedSpinGlass Nat.Partrec FiniteArithmetic RapidForcing.EffectiveArithmetic
open scoped BigOperators Classical
local instance disorderEnumerationRatPrimcodable : Primcodable ℚ := PeriodicLattice.RecursiveArithmetic.ratPrimcodable
noncomputable def signAlphabet : List (Fin 3 → Bool) := Finset.univ.toList
@[fun_prop] theorem signWords_computable :
Computable (fun k => words signAlphabet k) :=
words_primrec.to_comp.comp (Computable.const signAlphabet) Computable.id
theorem sum_words {A : Type} [Fintype A] [DecidableEq A] (k : ℕ)
(f : List A → ℝ) :
((words (Finset.univ.toList : List A) k).map f).sum =
∑ x : Fin k → A, f (List.ofFn x) := by
induction k generalizing f with
| zero => simp [words]
| succ k ih =>
simp only [words, List.map_flatMap, sum_flatMap_eq, List.map_map, Function.comp_def]
simp_rw [ih]
rw [Finset.sum_map_toList, ← (Fin.consEquiv (fun _ : Fin (k+1) => A)).sum_comp,
Fintype.sum_prod_type]
apply Finset.sum_congr rfl
intro a _
apply Finset.sum_congr rfl
intro x _
rw [List.ofFn_succ]
rfl
noncomputable def averagedSiteExpression (β : ℚ) (root : Code) (ms : List ℚ) (k : ℕ) : Code :=
.comp (rationalExpression ((8 : ℚ)^k)⁻¹)
(sumExpressions ((words signAlphabet k).map (fun signs => siteTrialExpression β signs root ms)))
attribute [local irreducible] siteTrialExpression edgeTrialExpression
@[fun_prop] theorem averagedSiteExpression_computable :
Computable (fun p : (ℚ × Code × List ℚ) × ℕ =>
averagedSiteExpression p.1.1 p.1.2.1 p.1.2.2 p.2) := by
have hs : Computable (fun p : (ℚ × Code × List ℚ) × ℕ =>
(words signAlphabet p.2).map (fun signs =>
siteTrialExpression p.1.1 signs p.1.2.1 p.1.2.2)) := by
apply computable_list_map (signWords_computable.comp Computable.snd)
unfold Computable₂
exact siteTrialExpression_computable.comp
(g := fun p : ((ℚ × Code × List ℚ) × ℕ) × List (Fin 3 → Bool) =>
(p.1.1.1,p.2,p.1.1.2.1,p.1.1.2.2)) (by fun_prop)
unfold averagedSiteExpression
fun_prop
theorem trialLog_site_cast {k l r : ℕ} (h : k = l) (β : ℝ)
(ζ : Hierarchy (r+1)) (m : Fin r → ℝ) (J : Fin l → Fin 3 → Bool) :
trialLog r ζ m (siteLog (fun j : Fin k => satSample β (J (Fin.cast h j))) 0) =
trialLog r ζ m (siteLog (fun j => satSample β (J j)) 0) := by
subst l
rfl
theorem averagedSiteExpression_value (β : ℚ) (root : Code) (ms : List ℚ) (k : ℕ) :
expressionValue (averagedSiteExpression β root ms k) =
(FiniteLaw.uniform : FiniteLaw (Fin k → Fin 3 → Bool)).expect (fun signs =>
trialLog ms.length (rationalTreeValue (ms.length+1) (decodeTree (ms.length+1) root))
(fun i => (ms.get i : ℝ)) (siteLog (fun j => satSample (β : ℝ) (signs j)) 0)) := by
simp only [averagedSiteExpression, expressionValue, rationalExpression_value,
sumExpressions_value, List.map_map, Function.comp_def, signAlphabet, sum_words]
simp only [FiniteLaw.expect, FiniteLaw.uniform, Fintype.card_fun, Fintype.card_fin,
Fintype.card_bool, Nat.cast_pow, Nat.cast_ofNat, Rat.cast_inv, Rat.cast_pow,
Rat.cast_ofNat, ← Finset.mul_sum]
norm_num
apply Finset.sum_congr rfl
intro J _
rw [siteTrialExpression_value]
simpa only [List.get_ofFn, List.get_eq_getElem, List.getElem_ofFn, Fin.cast] using
trialLog_site_cast (List.length_ofFn (f := J)) (β : ℝ)
(rationalTreeValue (ms.length+1) (decodeTree (ms.length+1) root))
(fun i => (ms.get i : ℝ)) J
noncomputable def averagedEdgeExpression (β : ℚ) (root : Code) (ms : List ℚ) : Code :=
.comp (rationalExpression (1/8))
(sumExpressions (signAlphabet.map (fun J => edgeTrialExpression β J root ms)))
@[fun_prop] theorem averagedEdgeExpression_computable :
Computable (fun p : ℚ × Code × List ℚ => averagedEdgeExpression p.1 p.2.1 p.2.2) := by
have hs : Computable (fun p : ℚ × Code × List ℚ =>
signAlphabet.map (fun J => edgeTrialExpression p.1 J p.2.1 p.2.2)) := by
apply computable_list_map (Computable.const signAlphabet)
unfold Computable₂
exact edgeTrialExpression_computable.comp
(g := fun p : (ℚ × Code × List ℚ) × (Fin 3 → Bool) =>
(p.1.1,p.2,p.1.2.1,p.1.2.2)) (by fun_prop)
unfold averagedEdgeExpression
fun_prop
theorem averagedEdgeExpression_value (β : ℚ) (root : Code) (ms : List ℚ) :
expressionValue (averagedEdgeExpression β root ms) =
(FiniteLaw.uniform : FiniteLaw (Fin 3 → Bool)).expect (fun J =>
trialLog ms.length (rationalTreeValue (ms.length+1) (decodeTree (ms.length+1) root))
(fun i => (ms.get i : ℝ)) (fun x => Real.log (edge (satInteraction (β : ℝ) J) x))) := by
simp only [averagedEdgeExpression, expressionValue, rationalExpression_value,
sumExpressions_value, List.map_map, Function.comp_def, signAlphabet, Finset.sum_map_toList,
edgeTrialExpression_value]
simp only [FiniteLaw.expect, FiniteLaw.uniform, Fintype.card_fun, Fintype.card_fin,
Fintype.card_bool, Nat.cast_pow, Nat.cast_ofNat, Rat.cast_div, Rat.cast_one,
Rat.cast_ofNat, ← Finset.mul_sum]
norm_num
end FixedClauseThreshold.Computability
end OAI