openAI-math-dataset / lean /OAI /Computability /MinUncut /PCP /PreprocessingLazyWords.lean
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import Mathlib
import OAI.Computability.MinUncut.PCP.GraphGap
namespace OAI
section
namespace MinUncutGames.Foundations.PCP.PreprocessingLazyWords
open PortTables GraphTables PreprocessingOverlayTables
open MinUncutGames.Foundations.Complexity
variable {n d : Nat}
def row (table : PortTables.Table n d) (v : Fin n) (p : Fin d) :
DartRow n (n * d) :=
⟨v, table.reverseIndex[rowIndex n d (v, p)], table.relations[rowIndex n d (v, p)]⟩
def trueRelation : RelationTable := Vector.replicate 4096 true
def stayRow (d : Nat) (v : Fin n) (p : Fin d) : DartRow n (n * (2 * d)) :=
⟨v, rowIndex n (2 * d) (v, lazyPorts d (false, p)), trueRelation⟩
def moveRow (table : PortTables.Table n d) (v : Fin n) (p : Fin d) :
DartRow n (n * (2 * d)) :=
⟨v, rowIndex n (2 * d) ((rotation table (v, p)).1,
lazyPorts d (true, (rotation table (v, p)).2)),
table.relations[rowIndex n d (v, p)]⟩
def reverseMap (d j : Nat) : Nat := 2 * d * (j / d) + d + j % d
theorem relation_ext {r s : RelationTable}
(h : ∀ a b, relationAt r a b = relationAt s a b) : r = s := by
apply Vector.ext
intro i hi
simpa only [relationAt, Prod.eta, Equiv.apply_symm_apply, Fin.getElem_fin] using
h (relationIndex.symm ⟨i, hi⟩).1 (relationIndex.symm ⟨i, hi⟩).2
theorem row_lazy_stay (table : PortTables.Table n d) (v : Fin n) (p : Fin d) :
row (lazy table) v (lazyPorts d (false, p)) = stayRow d v p := by
have hr : (lazy table).reverseIndex[rowIndex n (2 * d) (v, lazyPorts d (false, p))] =
rowIndex n (2 * d) (v, lazyPorts d (false, p)) := by
rw [← rowIndex_rotation, lazy_rotation_false]
have hp : (lazy table).relations[rowIndex n (2 * d) (v, lazyPorts d (false, p))] =
trueRelation := by
apply relation_ext
intro a b
simpa only [PortTables.accepts, relationAt, trueRelation, Fin.getElem_fin,
Vector.getElem_replicate] using lazy_accepts_false table v p a b
exact congrArg₂ (DartRow.mk v) hr hp
theorem row_lazy_move (table : PortTables.Table n d) (v : Fin n) (p : Fin d) :
row (lazy table) v (lazyPorts d (true, p)) = moveRow table v p := by
have hr : (lazy table).reverseIndex[rowIndex n (2 * d) (v, lazyPorts d (true, p))] =
rowIndex n (2 * d) ((rotation table (v, p)).1,
lazyPorts d (true, (rotation table (v, p)).2)) := by
rw [← rowIndex_rotation, lazy_rotation_true]
have hp : (lazy table).relations[rowIndex n (2 * d) (v, lazyPorts d (true, p))] =
table.relations[rowIndex n d (v, p)] := by
apply relation_ext
intro a b
exact lazy_accepts_true table v p a b
exact congrArg₂ (DartRow.mk v) hr hp
theorem stayRow_reverse_val (v : Fin n) (p : Fin d) :
(stayRow d v p).reverseIndex.val = 2 * d * v.val + p.val := by
simp only [stayRow, rowIndex_val, lazyPorts_false_val]
omega
theorem moveRow_reverse_val (table : PortTables.Table n d) (v : Fin n) (p : Fin d) :
(moveRow table v p).reverseIndex.val =
reverseMap d (row table v p).reverseIndex.val := by
simp only [moveRow, rowIndex_val, lazyPorts_true_val, reverseMap, row]
change (table.reverseIndex[rowIndex n d (v, p)]).val % d + d +
(2 * d) * ((table.reverseIndex[rowIndex n d (v, p)]).val / d) = _
omega
theorem relationWords_true : relationWords trueRelation = List.replicate 4096 1 := by
simp only [relationWords, trueRelation, Vector.toList_replicate,
List.map_replicate, bitWord, ite_true]
theorem stayRow_words (v : Fin n) (p : Fin d) :
rowWords (stayRow d v p) =
[v.val, 2 * d * v.val + p.val] ++ List.replicate 4096 1 := by
rw [rowWords, stayRow_reverse_val]
exact congrArg (fun words => [v.val, 2 * d * v.val + p.val] ++ words) relationWords_true
theorem moveRow_words (table : PortTables.Table n d) (v : Fin n) (p : Fin d) :
rowWords (moveRow table v p) =
[v.val, reverseMap d (row table v p).reverseIndex.val] ++
relationWords (row table v p).relation := by
rw [rowWords, moveRow_reverse_val]
rfl
theorem ofFn_rowIndex {α : Type*} (f : Fin (n * d) → α) :
List.ofFn f = (List.ofFn fun v : Fin n =>
List.ofFn fun p : Fin d => f (rowIndex n d (v, p))).flatten := by
rw [List.ofFn_mul]
apply congrArg List.flatten
congr 1
funext v
congr 1
funext p
apply congrArg f
apply Fin.ext
simp only [rowIndex_val]
ac_rfl
theorem flatRows_list (table : PortTables.Table n d) :
(flatRows table).toList =
(List.ofFn fun v : Fin n => List.ofFn (row table v)).flatten := by
rw [flatRows, Vector.toList_ofFn, ofFn_rowIndex]
simp only [Equiv.symm_apply_apply]
rfl
theorem ofFn_lazyPorts {α : Type*} (f : Fin (2 * d) → α) :
List.ofFn f = List.ofFn (fun p => f (lazyPorts d (false, p))) ++
List.ofFn (fun p => f (lazyPorts d (true, p))) := by
have hf (p : Fin d) : rowIndex 2 d (0, p) = lazyPorts d (false, p) := by
apply Fin.ext
simp only [rowIndex_val, Fin.val_zero, Nat.mul_zero, Nat.add_zero, lazyPorts_false_val]
have ht (p : Fin d) : rowIndex 2 d ((0 : Fin 1).succ, p) = lazyPorts d (true, p) := by
apply Fin.ext
simp only [rowIndex_val, Fin.val_succ, Fin.val_zero, Nat.zero_add,
Nat.mul_one, lazyPorts_true_val]
simpa only [List.ofFn_succ, List.ofFn_zero, List.flatten_cons, List.flatten_nil,
List.append_nil, hf, ht] using (ofFn_rowIndex (n := 2) (d := d) f)
def vertexRows (table : PortTables.Table n d) (v : Fin n) :
List (DartRow n (n * (2 * d))) :=
List.ofFn (stayRow d v) ++ List.ofFn (moveRow table v)
theorem vertexRows_length (table : PortTables.Table n d) (v : Fin n) :
(vertexRows table v).length = 2 * d := by
simp only [vertexRows, List.length_append, List.length_ofFn]
omega
theorem flatRows_lazy (table : PortTables.Table n d) :
(flatRows (lazy table)).toList = (List.ofFn (vertexRows table)).flatten := by
rw [flatRows_list]
apply congrArg List.flatten
congr 1
funext v
rw [ofFn_lazyPorts]
simp only [row_lazy_stay, row_lazy_move]
rfl
theorem vertexRows_words (table : PortTables.Table n d) (v : Fin n) :
(vertexRows table v).flatMap rowWords =
(List.ofFn fun p : Fin d =>
[v.val, 2 * d * v.val + p.val] ++ List.replicate 4096 1).flatten ++
(List.ofFn fun p : Fin d =>
[v.val, reverseMap d (row table v p).reverseIndex.val] ++
relationWords (row table v p).relation).flatten := by
have hs : rowWords ∘ stayRow d v = fun p : Fin d =>
[v.val, 2 * d * v.val + p.val] ++ List.replicate 4096 1 := by
funext p
exact stayRow_words v p
have hm : rowWords ∘ moveRow table v = fun p : Fin d =>
[v.val, reverseMap d (row table v p).reverseIndex.val] ++
relationWords (row table v p).relation := by
funext p
exact moveRow_words table v p
simp only [vertexRows, List.flatMap_def, List.map_append, List.map_ofFn,
List.flatten_append]
rw [hs, hm]
theorem tableWords_lazy (table : PortTables.Table n d) :
PortTables.tableWords (lazy table) =
[n, n * (2 * d)] ++ (List.ofFn (vertexRows table)).flatten.flatMap rowWords := by
rw [PortTables.tableWords_eq, flatRows_lazy]
theorem tableBits_lazy (table : PortTables.Table n d) :
PortTables.tableBits (lazy table) =
encodeWords ([n, n * (2 * d)] ++
(List.ofFn (vertexRows table)).flatten.flatMap rowWords) := by
change encodeWords (PortTables.tableWords (lazy table)) = _
rw [tableWords_lazy]
end MinUncutGames.Foundations.PCP.PreprocessingLazyWords
end
end OAI