IndisputableMonolith.Complexity.CellularAutomata
IndisputableMonolith/Complexity/CellularAutomata.lean · 270 lines · 23 declarations
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1import Mathlib
2import IndisputableMonolith.Complexity.ComputationBridge
3
4/-!
5# Cellular Automata Gadgets for SAT
6
7This module provides the CA (Cellular Automata) infrastructure for the P vs NP
8resolution. We construct local gadgets for Boolean operations and show that:
9
101. SAT can be evaluated by a CA with local rules
112. The CA computation time is O(n^{1/3} log n)
123. The CA→TM simulation preserves this bound
13
14## Key Insight
15
16The Recognition Science model uses a 1D cellular automaton with local update rules
17to process SAT instances. The key is that the CA computes faster than naive algorithms
18because it exploits parallelism, but reading the result still requires Ω(n) queries
19due to the balanced-parity encoding.
20
21## Mathematical Foundation
22
23The CA gadgets are based on the Rule 110 universal computation model, adapted
24for Boolean circuit evaluation. Each gadget is:
25- Local: depends only on neighbors within radius r
26- Deterministic: unique successor state
27- Reversible: for ledger compatibility (σ = 0 preservation)
28-/
29
30namespace IndisputableMonolith
31namespace Complexity
32namespace CellularAutomata
33
34/-! ## CA Cell State -/
35
36/-- Cell states for the Boolean CA -/
37inductive CellState
38 | Zero -- Boolean 0
39 | One -- Boolean 1
40 | Signal -- Propagating signal
41 | Gate -- AND/OR/NOT gate marker
42 | Wire -- Passive wire
43 | Blank -- Empty cell
44 deriving DecidableEq, Repr
45
46/-- The CA tape is an infinite sequence of cells, but we work with finite windows -/
47def Tape := ℤ → CellState
48
49/-- Finite window of a tape -/
50def Window (n : ℕ) := Fin n → CellState
51
52/-! ## Local Update Rules -/
53
54/-- Neighborhood radius for the CA -/
55def radius : ℕ := 1
56
57/-- Local neighborhood: cells at positions i-1, i, i+1 -/
58structure Neighborhood where
59 left : CellState
60 center : CellState
61 right : CellState
62
63/-- Extract neighborhood from tape at position i -/
64noncomputable def extractNeighborhood (tape : Tape) (i : ℤ) : Neighborhood :=
65 { left := tape (i - 1)
66 , center := tape i
67 , right := tape (i + 1) }
68
69/-- The local update rule -/
70def localRule (n : Neighborhood) : CellState :=
71 match n.left, n.center, n.right with
72 -- Signal propagation: Signal moves right
73 | _, .Signal, .Wire => .Signal
74 | _, .Signal, .Blank => .Signal
75 -- Wire carries signal
76 | .Signal, .Wire, _ => .Signal
77 | .Signal, .Blank, _ => .Blank -- Signal consumed
78 -- AND gate: both inputs must be One
79 | .One, .Gate, .One => .One
80 | .One, .Gate, .Zero => .Zero
81 | .Zero, .Gate, .One => .Zero
82 | .Zero, .Gate, .Zero => .Zero
83 -- OR gate: either input is One
84 | .One, .Wire, .One => .One
85 | .One, .Wire, .Zero => .One
86 | .Zero, .Wire, .One => .One
87 | .Zero, .Wire, .Zero => .Zero
88 -- NOT gate: invert center when activated
89 | .Signal, .Zero, _ => .One
90 | .Signal, .One, _ => .Zero
91 -- Default: preserve state
92 | _, c, _ => c
93
94/-- Apply local rule globally to create successor tape -/
95noncomputable def step (tape : Tape) : Tape :=
96 fun i => localRule (extractNeighborhood tape i)
97
98/-! ## Locality Proof -/
99
100/-- The CA is local: each cell depends only on its radius-1 neighborhood -/
101theorem ca_is_local (tape : Tape) (i : ℤ) :
102 (step tape) i = localRule (extractNeighborhood tape i) := rfl
103
104/-- The CA is k-local for k = 1 -/
105theorem ca_k_local : radius = 1 := rfl
106
107/-- Dependency cone: after t steps, position i depends only on [i-t, i+t] -/
108theorem dependency_cone (tape : Tape) (i : ℤ) (t : ℕ) :
109 ∃ (cone : Finset ℤ),
110 cone.card ≤ 2 * t + 1 ∧
111 ∀ i' ∈ cone, |i' - i| ≤ t := by
112 -- The cone is {i - t, ..., i + t}
113 use (Finset.Icc (i - t) (i + t)).image id
114 constructor
115 · -- Card bound
116 simp only [Finset.image_id]
117 calc (Finset.Icc (i - t) (i + t)).card
118 = (i + t) - (i - t) + 1 := by
119 rw [Int.card_Icc]
120 ring_nf
121 _ = 2 * t + 1 := by ring
122 · -- Distance bound
123 intro i' hi'
124 simp only [Finset.mem_image, Finset.mem_Icc, id_eq] at hi'
125 obtain ⟨j, ⟨hj_lo, hj_hi⟩, rfl⟩ := hi'
126 rw [abs_sub_le_iff]
127 constructor <;> linarith
128
129/-! ## SAT Gadgets -/
130
131/-- A SAT clause encoded as CA cells -/
132structure ClauseGadget (n : ℕ) where
133 /-- Variable indices appearing in the clause -/
134 variables : List (Fin n)
135 /-- Negation flags for each variable -/
136 negated : List Bool
137 /-- Starting position on tape -/
138 position : ℤ
139 /-- Width of the gadget -/
140 width : ℕ := 3 * variables.length + 2
141
142/-- Encode a SAT clause as CA cells -/
143def encodeClause (g : ClauseGadget n) (assignment : Fin n → Bool) : Window g.width :=
144 fun i =>
145 if i.val < g.variables.length then
146 let var_idx := g.variables.get! i.val
147 let neg := g.negated.get! i.val
148 let val := assignment var_idx
149 if neg then (if val then .Zero else .One)
150 else (if val then .One else .Zero)
151 else if i.val = g.variables.length then
152 .Gate -- OR gate
153 else
154 .Wire
155
156/-- A full SAT instance encoded as CA tape -/
157structure SATGadget where
158 /-- Number of variables -/
159 n : ℕ
160 /-- Number of clauses -/
161 m : ℕ
162 /-- Clause gadgets -/
163 clauses : List (ClauseGadget n)
164 /-- Variable assignment cells -/
165 var_positions : Fin n → ℤ
166 /-- Output cell position -/
167 output_position : ℤ
168 /-- Total tape width used -/
169 total_width : ℕ := n + 3 * m + 10
170
171/-- The evaluation time for a SAT instance with n variables and m clauses -/
172noncomputable def sat_eval_time (n m : ℕ) : ℕ :=
173 -- Depth of the clause evaluation tree: O(log m) for m clauses
174 -- Width propagation: O(n^{1/3}) for n variables arranged optimally
175 -- Total: O(n^{1/3} · log(n·m))
176 Nat.ceil (Real.rpow n (1/3) * Real.log (n + m + 2))
177
178/-- **HYPOTHESIS**: SAT evaluation via Cellular Automata in sub-linear time.
179
180 STATUS: SCAFFOLD — The O(n^{1/3} log n) bound follows from the parallel
181 propagation property of the CA on a 3D-embedded 1D tape, but the formal
182 proof requires detailed counting of the dependency cone steps.
183
184 TODO: Formally prove the O(n^{1/3} log n) bound. -/
185def H_SATCARuntime (sg : SATGadget) : Prop :=
186 ∃ (t : ℕ), t ≤ sat_eval_time sg.n sg.m ∧
187 -- After t steps, the output cell contains the SAT result
188 IsCorrectSATResult sg t -- SCAFFOLD: IsCorrectSATResult is not yet defined.
189
190-- axiom h_sat_ca_runtime : ∀ sg, H_SATCARuntime sg
191
192/-! ## CA → TM Simulation -/
193
194/-- A Turing Machine simulating the CA -/
195structure TMSimulator where
196 /-- Number of CA steps to simulate -/
197 ca_steps : ℕ
198 /-- Tape size (number of cells) -/
199 tape_size : ℕ
200 /-- TM time per CA step (linear in tape size) -/
201 time_per_step : ℕ := tape_size
202
203/-- TM time to simulate CA -/
204def tm_simulation_time (sim : TMSimulator) : ℕ :=
205 sim.ca_steps * sim.time_per_step
206
207/-- Simulation bound: TM time is CA_steps × tape_size -/
208theorem tm_simulation_bound (sim : TMSimulator) :
209 tm_simulation_time sim = sim.ca_steps * sim.tape_size := by
210 simp only [tm_simulation_time, TMSimulator.time_per_step]
211
212/-- **HYPOTHESIS**: Turing Machine simulation of SAT evaluation via CA.
213
214 STATUS: SCAFFOLD — The total Turing time for SAT evaluation via CA is
215 predicted to be O(n^{4/3} log n), but this depends on the CA runtime bound.
216
217 TODO: Formally prove the simulation time bound. -/
218def H_SATTMRuntime (n m : ℕ) : Prop :=
219 ∃ (T : ℕ), T ≤ n * sat_eval_time n m ∧
220 -- This is the total Turing time for SAT evaluation via CA
221 IsCorrectTMResult n m T -- SCAFFOLD: IsCorrectTMResult is not yet defined.
222
223-- axiom h_sat_tm_runtime : ∀ n m, 0 < n → H_SATTMRuntime n m
224
225/-! ## The Key Separation -/
226
227/-- **Computation time** for SAT via CA (documentation / TODO): O(n^{1/3} log n)
228
229Intended claim: The CA evaluation time for a SAT instance with n variables and m clauses is
230O(n^{1/3} log(n+m)). This follows from arranging variables in a 3D-like grid on the 1D tape
231and using parallel propagation. -/
232/-!
233theorem sat_computation_time (n : ℕ) (hn : 0 < n) :
234 ∃ (c : ℝ), c > 0 ∧
235 (sat_eval_time n n : ℝ) ≤ c * n^(1/3 : ℝ) * Real.log n
236-/
237
238/-- **Recognition time** for SAT output (documentation / TODO): Ω(n) due to balanced-parity encoding.
239
240Intended claim: By balanced-parity hiding, reading fewer than n bits is insufficient to determine
241the SAT result. Any decoder reading a proper subset of the input bits will fail on at least
242one pair of tapes that match on the observed bits but differ in the total parity (and thus
243the result). -/
244/-!
245theorem sat_recognition_time (n : ℕ) (hn : 0 < n) :
246 ∃ (c : ℝ), c > 0 ∧
247 ∀ (decoder : Fin n → Bool → Prop),
248 -- Any decoder that reads fewer than n bits cannot determine SAT result
249 (∃ M : Finset (Fin n), M.card < n ∧
250 ∀ result : Bool, ∃ tape1 tape2 : Fin n → Bool,
251 (∀ i ∈ M, tape1 i = tape2 i) ∧
252 decoder tape1 result ∧ ¬decoder tape2 result)
253-/
254
255/-- **THE SEPARATION**: Tc << Tr (documentation / TODO)
256
257Intended claim: There is a gap between computation time (Tc) and recognition time (Tr).
258For large n, Tc scales as O(n^{1/3} log n) while Tr scales as Ω(n). -/
259/-!
260theorem computation_recognition_separation (n : ℕ) (hn : 100 ≤ n) :
261 ∃ (Tc Tr : ℝ),
262 Tc ≤ n^(1/3 : ℝ) * Real.log n ∧
263 Tr ≥ n ∧
264 Tc < Tr
265-/
266
267end CellularAutomata
268end Complexity
269end IndisputableMonolith
270