openAI-math-dataset / lean /OAI /NumberTheory /TwoPoint /Bounds /ActualCodeAssignments.lean
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Add lean source and binary files (part 117)
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import OAI.NumberTheory.TwoPoint.Bounds.ActualSlotClasses
import OAI.NumberTheory.TwoPoint.Bounds.PositiveWordProbability
namespace OAI
/-! Actual code assignments preserve prime pools and the distinct-prime weight. -/
namespace TwoPointCorrelations
open Finset
open scoped Classical
variable {R : ℕ}
lemma actualSlotPrime_mem_tuplePool (w : Fin R → SignedStep) (P : Finset ℕ)
(hP : ∀ i, (w i).tuple.primeFactors ⊆ P) (s : ActualPrimeSlot w)
(hs : actualSlotKind w s = false) : actualSlotPrime w s ∈ P := by
rcases s with ⟨i, p | p⟩
· exact hP i p.property
· cases hs
lemma actualSlotPrime_mem_paddingPool (w : Fin R → SignedStep) (Q : Finset ℕ)
(hQ : ∀ i, (w i).padding.primeFactors ⊆ Q) (s : ActualPrimeSlot w)
(hs : actualSlotKind w s = true) : actualSlotPrime w s ∈ Q := by
rcases s with ⟨i, p | p⟩
· cases hs
· exact hQ i p.property
lemma actualPrimeSlotData_prime_image (w : Fin R → SignedStep) :
univ.image (actualPrimeSlotData w).prime = univ.image (actualSlotPrime w) := by
ext p
constructor
· rintro hp
obtain ⟨i, _, rfl⟩ := mem_image.mp hp
exact mem_image.mpr ⟨(actualPrimeSlotEquiv w).symm i, mem_univ _, rfl⟩
· rintro hp
obtain ⟨s, _, rfl⟩ := mem_image.mp hp
refine mem_image.mpr ⟨actualPrimeSlotEquiv w s, mem_univ _, ?_⟩
change actualSlotPrime w ((actualPrimeSlotEquiv w).symm (actualPrimeSlotEquiv w s)) = _
rw [Equiv.symm_apply_apply]
lemma actualPrimeSlot_support (w : Fin R → SignedStep)
(ht : ∀ i, (w i).tuple ≠ 0) (hq : ∀ i, (w i).padding ≠ 0) :
wordDivisorPrimeSupport (List.ofFn w) = univ.image (actualSlotPrime w) := by
ext p
simp only [wordDivisorPrimeSupport, mem_biUnion, List.mem_toFinset, List.mem_ofFn]
constructor
· rintro ⟨a, ⟨i, rfl⟩, hp⟩
rw [Nat.primeFactors_mul (hq i) (ht i), mem_union] at hp
rcases hp with hp | hp
· exact mem_image.mpr ⟨⟨i, Sum.inr ⟨p, hp⟩⟩, mem_univ _, rfl⟩
· exact mem_image.mpr ⟨⟨i, Sum.inl ⟨p, hp⟩⟩, mem_univ _, rfl⟩
· rintro hp
obtain ⟨⟨i, p | p⟩, _, rfl⟩ := mem_image.mp hp
· refine ⟨w i, ⟨i, rfl⟩, ?_⟩
rw [Nat.primeFactors_mul (hq i) (ht i), mem_union]
exact Or.inr p.property
· refine ⟨w i, ⟨i, rfl⟩, ?_⟩
rw [Nat.primeFactors_mul (hq i) (ht i), mem_union]
exact Or.inl p.property
/-- The encoded assignment pays exactly one reciprocal per distinct prime. -/
theorem actual_code_reciprocal_weight (w : Fin R → SignedStep)
(ht : ∀ i, (w i).tuple ≠ 0) (hq : ∀ i, (w i).padding ≠ 0) :
(∏ z : (actualPrimeSlotData w).code.usedClasses,
((actualPrimeSlotData w).prime z.val : ℝ)⁻¹) =
∏ p ∈ wordDivisorPrimeSupport (List.ofFn w), (p : ℝ)⁻¹ := by
rw [actualPrimeSlot_support w ht hq, ← actualPrimeSlotData_prime_image]
rw [← PrimeSlotData.code_value_image, prod_image]
exact fun z _ t _ h => (actualPrimeSlotData w).code_value_injective h
/-- Actual tuple and padding classes inhabit their separate numerical pools. -/
theorem actual_code_pool_assignments (w : Fin R → SignedStep) (P Q : Finset ℕ)
(hP : ∀ i, (w i).tuple.primeFactors ⊆ P)
(hQ : ∀ i, (w i).padding.primeFactors ⊆ Q) :
∃ a : (actualPrimeSlotData w).code.tupleClasses → P,
∃ b : {z : (actualPrimeSlotData w).code.usedClasses //
z ∉ (actualPrimeSlotData w).code.tupleClasses} → Q,
joinCoordinates (actualPrimeSlotData w).code.tupleClasses
(fun z => (a z).val) (fun z => (b z).val) =
fun z => (actualPrimeSlotData w).prime z.val := by
let c := (actualPrimeSlotData w).code
have htuple (z : c.tupleClasses) : (actualPrimeSlotData w).prime z.val.val ∈ P := by
apply actualSlotPrime_mem_tuplePool w P hP
((actualPrimeSlotEquiv w).symm z.val.val)
exact (mem_filter.mp z.property).2
have hpadding (z : {z : c.usedClasses // z ∉ c.tupleClasses}) :
(actualPrimeSlotData w).prime z.val.val ∈ Q := by
apply actualSlotPrime_mem_paddingPool w Q hQ
((actualPrimeSlotEquiv w).symm z.val.val)
have hn : ¬c.2.2.2 z.val.val = false := by
intro hz
exact z.property (mem_filter.mpr ⟨mem_univ _, hz⟩)
change c.2.2.2 z.val.val = true
cases he : c.2.2.2 z.val.val <;> simp_all
refine ⟨(fun z => ⟨_, htuple z⟩), (fun z => ⟨_, hpadding z⟩), ?_⟩
funext z
dsimp only [joinCoordinates]
split_ifs <;> rfl
end TwoPointCorrelations
end OAI