roseking's picture
Add lean source and binary files (part 61)
ea76aac verified
Raw History Blame Contribute Delete
5.87 kB
import Mathlib
import OAI.Computability.MaxCut.Encoding.AdjacencyBits
namespace OAI
noncomputable section
namespace OptimalMaxCut
open scoped BigOperators
open LongCode.InstanceAdapter CounterMachine
attribute [local instance] Classical.propDecidable
@[simp] theorem nameBits_length_exact (n : ℕ) :
(MaxCutGames.BinaryEncoding.nameBits n).length = 2*n.size+1 := by
exact MaxCutGames.BinaryEncoding.nameBits_length n
theorem nameBits_getD (n i : ℕ) :
((MaxCutGames.BinaryEncoding.nameBits n)[i]?).getD false =
decide (RawGrid.frameValue n i ≠ 0) := by
have he (s : List Bool) : MaxCutGames.BinaryEncoding.frame s = CounterMachine.frame s := by
induction s with
| nil => rfl
| cons b s ih => simp only [MaxCutGames.BinaryEncoding.frame,CounterMachine.frame,ih]
unfold MaxCutGames.BinaryEncoding.nameBits
rw [he]
exact CounterMachine.frame_bits_get n i
@[simp] theorem Graph.table_length (G : Graph) :
((List.finRange G.vertices).flatMap (fun u =>
(List.finRange G.vertices).map (fun v => G.adj u v))).length = G.vertices^2 := by
simp [List.length_flatMap, pow_two]
theorem Graph.table_getD (G : Graph) (i j : ℕ) (hi : i<G.vertices) (hj : j<G.vertices) :
(((List.finRange G.vertices).flatMap (fun u =>
(List.finRange G.vertices).map (fun v => G.adj u v)))[i*G.vertices+j]?).getD false =
G.adj ⟨i,hi⟩ ⟨j,hj⟩ := by
have h := flatMap_getD (List.finRange G.vertices)
(fun u => (List.finRange G.vertices).map (fun v => G.adj u v)) false G.vertices
(by intros; simp) ⟨i,by simpa using hi⟩ j hj
simpa [Fin.getElem_fin, List.getElem?_eq_getElem, hj] using h
@[simp] theorem ScaledGraph.bits_length_exact (G : ScaledGraph) :
G.bits.length = (2*G.graph.vertices.size+1)+(2*G.scale.size+1)+G.graph.vertices^2 := by
simp only [ScaledGraph.bits,List.length_append,nameBits_length_exact,Graph.table_length]
namespace LongCode.InstanceAdapter
open MaxCutGames.Foundations.Target
def anchor {q : ℕ} (g : Instance q) : Fin (g.vertices*2^q) :=
vertexEquiv g.vertices q (g.constraints[0]'(g.constraintCount_positive) |>.source, fun _ => false)
noncomputable def gridGraph {q : ℕ} (g : Instance q) (t : ℚ)
(ht : t ∈ Set.Icc (-1:ℚ) 1) (K : ℕ) : ScaledGraph :=
(ofInstance g).gridOutput t ht (vertexEquiv g.vertices q) (anchor g) K
end LongCode.InstanceAdapter
namespace RawGrid
open LongCode.InstanceAdapter MaxCutGames.Foundations.Target
@[simp] theorem size_bits {q : ℕ} (g : Instance q) (L : ℕ) :
size q L (bits g) = g.vertices*2^q*(Unweighted.searchPrime (L*(g.vertices*2^q+1)^2))^6 := by
simp [size,param]
theorem graph_size {q : ℕ} (g : Instance q) (t : ℚ) (ht : t ∈ Set.Icc (-1:ℚ) 1) (K : ℕ) :
(gridGraph g t ht K).graph.vertices = size q (K+1) (bits g) := by
simp [gridGraph,LongCode.Game.gridOutput,Unweighted.deterministicOutput,
Unweighted.blowupOutput,Unweighted.blowupGraph]
theorem graph_scale {q : ℕ} (g : Instance q) (t : ℚ) (ht : t ∈ Set.Icc (-1:ℚ) 1) (K : ℕ) :
(gridGraph g t ht K).scale = scale q (K+1) (bits g) := by
simp [gridGraph,LongCode.Game.gridOutput,Unweighted.deterministicOutput,
Unweighted.blowupOutput,scale,param]
theorem bits_length {q : ℕ} (g : Instance q) (t : ℚ) (ht : t ∈ Set.Icc (-1:ℚ) 1) (K : ℕ) :
(gridGraph g t ht K).bits.length = length q (K+1) (bits g) := by
rw [ScaledGraph.bits_length_exact, graph_size, graph_scale]; rfl
theorem graph_adj {q : ℕ} (g : Instance q) (t : ℚ) (ht : t ∈ Set.Icc (-1:ℚ) 1) (K : ℕ)
(i j : Fin (gridGraph g t ht K).graph.vertices) :
(gridGraph g t ht K).graph.adj i j =
decide (adjacency q t ht K (K+1) (bits g) i.val j.val ≠ 0) :=
adjacency_bits g t ht K (K+1) (anchor g) i j
theorem bits_getD {q : ℕ} (g : Instance q) (t : ℚ) (ht : t ∈ Set.Icc (-1:ℚ) 1) (K : ℕ)
(i : ℕ) (hi : i<length q (K+1) (bits g)) :
(((gridGraph g t ht K).bits)[i]?).getD false =
decide (entry q t ht K (K+1) (bits g) i ≠ 0) := by
let G := gridGraph g t ht K
let d := 2*(size q (K+1) (bits g)).size+1
let e := 2*(scale q (K+1) (bits g)).size+1
have hd : (MaxCutGames.BinaryEncoding.nameBits G.graph.vertices).length = d := by
rw [nameBits_length_exact,graph_size]
have he : (MaxCutGames.BinaryEncoding.nameBits G.scale).length = e := by
rw [nameBits_length_exact,graph_scale]
simp only [ScaledGraph.bits, List.append_assoc]
unfold entry
by_cases hid : i<d
· rw [List.getElem?_append_left (by rwa [hd]), nameBits_getD, graph_size]
simp only [show i<2*(size q (K+1) (bits g)).size+1 from hid,↓reduceIte]
· rw [List.getElem?_append_right (by rw [hd]; omega),hd]
by_cases hie : i<d+e
· rw [List.getElem?_append_left (by rw [he]; omega),nameBits_getD,graph_scale]
simp only [show ¬i<2*(size q (K+1) (bits g)).size+1 from hid,↓reduceIte,
show i<(2*(size q (K+1) (bits g)).size+1)+(2*(scale q (K+1) (bits g)).size+1) from hie,↓reduceIte]
rfl
· rw [List.getElem?_append_right (by rw [he]; omega),he]
simp only [show ¬i<2*(size q (K+1) (bits g)).size+1 from hid,↓reduceIte,
show ¬i<(2*(size q (K+1) (bits g)).size+1)+(2*(scale q (K+1) (bits g)).size+1) from hie,↓reduceIte]
have hlen : i-d-e < G.graph.vertices^2 := by
rw [graph_size]; dsimp [length,d,e] at *; omega
have hn : 0<G.graph.vertices := by nlinarith
have hij : i-d-e < G.graph.vertices*G.graph.vertices := by simpa only [pow_two] using hlen
have hrow := (Nat.div_lt_iff_lt_mul hn).mpr hij
have hcol := Nat.mod_lt (i-d-e) hn
have h := G.graph.table_getD ((i-d-e)/G.graph.vertices) ((i-d-e)%G.graph.vertices) hrow hcol
rw [Nat.mul_comm ((i-d-e)/G.graph.vertices) _, Nat.div_add_mod] at h
rw [h,graph_adj]
simp only [G,graph_size,d,e]
end RawGrid
end OptimalMaxCut
end
end OAI