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Add lean source and binary files (part 62)
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import Mathlib
import OAI.Computability.QuantumFactoring.AuxiliaryTree
namespace OAI
section
open scoped BigOperators
open scoped BigOperators
open scoped BigOperators
open scoped BigOperators
open scoped BigOperators
namespace ExactQuantumFactoring
open AuxiliaryTree
/-- The source's distinct positive-exponent factor records. Finsupp stores each
prime once; its canonical serialization sorts its support in increasing order. -/
abbrev FactorRecord := ℕ→₀ℕ
def factorRecordList (f : FactorRecord) : List (ℕ×ℕ) :=
(f.support.sort (· ≤ ·)).map (fun p => (p,f p))
def recordChildren (f : FactorRecord) : List ℕ :=
((f.support.filter (fun p => 2 < p)).sort (· ≤ ·)).map (·-1)
inductive FactorData where
| node (label : ℕ) (factors : FactorRecord) (descendants : List FactorData) : FactorData
def FactorData.label : FactorData→ℕ
| .node m _ _ => m
def trueData (m : ℕ) : FactorData :=
.node m m.factorization ((children m).attach.map (fun d => trueData d.val))
termination_by m
decreasing_by exact (child_bounds d.property).2
lemma trueData_eq (m : ℕ) : trueData m =
.node m m.factorization ((children m).map trueData) := by
rw [trueData]
congr 1
simp only [List.attach_map_val]
@[simp] lemma trueData_label (m : ℕ) : (trueData m).label=m := by
rw [trueData_eq]; rfl
lemma recordChildren_factorization (m : ℕ) : recordChildren m.factorization=children m := rfl
/-- Complete-data acceptance. The local tests are finite prime checks and a
product check, followed by EXACT ordered children; no witness fields or advice. -/
inductive FactorData.Valid : FactorData→Prop where
| node (m : ℕ) (f : FactorRecord) (ds : List FactorData)
(hm : 2 ≤ m) (hp : ∀ p∈f.support,p.Prime) (hprod : f.prod (·^·)=m)
(hlabels : ds.map FactorData.label=recordChildren f)
(hchildren : ∀ d∈ds, FactorData.Valid d) : FactorData.Valid (.node m f ds)
lemma valid_factorRecord {m : ℕ} {f : FactorRecord}
(hp : ∀ p∈f.support,p.Prime) (hprod : f.prod (·^·)=m) : f=m.factorization := by
rw [← hprod,Nat.prod_pow_factorization_eq_self hp]
/-- Unique prime factorization makes the entire ordered occurrence tree unique;
equal child labels under different parents remain separate list occurrences. -/
theorem valid_eq_trueData {d : FactorData} (hd : d.Valid) : d=trueData d.label := by
induction hd with
| node m f ds hm hp hprod hlabels _ ih =>
have hf := valid_factorRecord hp hprod
have hds : ds=(children m).map trueData := by
have hh : ds.map (fun d => trueData d.label)=ds := by
calc
_ = ds.map id := List.map_congr_left (fun d hd => (ih d hd).symm)
_ = ds := List.map_id ds
calc
ds = ds.map (fun d => trueData d.label) := hh.symm
_ = (ds.map FactorData.label).map trueData := List.map_map.symm
_ = (children m).map trueData := by rw [hlabels,hf,recordChildren_factorization]
rw [hf,hds]
exact (trueData_eq m).symm
/-- The canonical data are always complete; recursion is justified by the
literal source decrease p−1<m, not a guessed tree. -/
theorem trueData_valid {m : ℕ} (hm : 2 ≤ m) : (trueData m).Valid := by
induction m using Nat.strong_induction_on with
| h m ih =>
rw [trueData_eq]
apply FactorData.Valid.node m m.factorization ((children m).map trueData) hm
· intro p hp
exact Nat.prime_of_mem_primeFactors hp
· exact Nat.prod_factorization_pow_eq_self (by omega)
· simp only [List.map_map,Function.comp_def,trueData_label,recordChildren_factorization]
exact List.map_id (children m)
· intro d hd
obtain ⟨a,ha,rfl⟩ := List.mem_map.mp hd
exact ih a (child_bounds ha).2 (child_bounds ha).1
theorem valid_iff_trueData {m : ℕ} (hm : 2 ≤ m) (d : FactorData) (hl : d.label=m) :
d.Valid ↔ d=trueData m := by
constructor
· intro hd
simpa only [hl] using valid_eq_trueData hd
· rintro rfl
exact trueData_valid hm
end ExactQuantumFactoring
end
end OAI