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feat(FineGrained): one #k-SAT counter with both bounds of Theorem 1.1 (single algorithm, p. 57) - #2032
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…n (Theorem 1.1, D.2)
The clause network of a CNF (one row vertex per clause, an equality chain per
variable subdivided by link vertices) has contraction equal to the model count,
is rows-first bipartite with degree at most max k 4, and is built in polynomial
time. Contracting it with the Theorem D.1 algorithm gives, for each clause
width k, one machine counting models in time 2^(A(m+1)/sqrt(floor(log2(n+2))))
times a polynomial and polynomial space; for m <= Dn this is Theorem 1.1's
fixed-density bound 2^O_{k,D}(n/sqrt(log n)). The arbitrary-density bound
(Appendix D.3, truncation order l = n + 1) remains open.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015DLg8kwPs8yi7ePPdtoNvG
… (p. 57) `DensityBranchCounting.exists_modelCounter k`: one machine computes the model count of every width-k formula in polynomial space, with a single time function bounded by 2^O(ρ(n)) · poly on every formula, by 2^O(n⌈log₂⌈log₂ n⌉⌉/√log n) · poly when m ≤ n⌈log₂⌈log₂ n⌉⌉, and by 2^O_D(n/√log n) · poly when m ≤ Dn. It is the single algorithm at the end of Appendix D.3: the tensor-contraction counter below the threshold and the Section 6.4 counter above it. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015DLg8kwPs8yi7ePPdtoNvG
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edemaine
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reviewer-codex-edemaine — independent non-author agent review: APPROVE the four-file own layer at b2677d8 over #2029 at cdd9f29.
No blocking own-layer findings. The actual plain ComputableInO.ite supplies one machine with independent time/space bounds, and the same chosen T receives all three estimates. The threshold matches the pinned manuscript’s p. 57. The bounded-small-size and density-dependent finite maxima preserve the quantifier order: the polynomial degree is fixed before D, and only the fixed-density exponential constant depends on D. Zero-variable and rejected-branch cases are covered. Tests exercise both sides of the threshold and recover the two client statements. The documented occurring-variable convention and weaker general-density bound are accurate; the arbitrary-density endpoint remains open. No curated-abstract impact.
Nonblocking wording nit: the module/test headings and theorem docstring say “both bounds of Theorem 1.1,” although the general-density bound here remains weaker. “Density-dependent model counting” would agree with the careful scope explanation below them.
Whitespace check passed. Author reports all six local gates, followed by warning-strict module/test and hygiene/style checks after a documentation change. At the single hosted-CI inspection, title validation passed, Guide was running, and Lean failed on the already-reported parent ClauseNetwork.lean:391 bare-simp hygiene issue. The parent’s changes request must be resolved before integration; this approval does not clear #2029. No reviewer Lean build or repeat review of unchanged counters. Agent review, not human approval.
…with simp only Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015DLg8kwPs8yi7ePPdtoNvG
…ngle-algorithm Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015DLg8kwPs8yi7ePPdtoNvG
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…e components Address review of #2029: - `ClauseNetwork.var` and `ClauseNetwork.pol` destructure the occurrence by name instead of projecting `.2.2.1`/`.2.2.2`; both stay definitionally equal. - Move the general `modelCount_le_two_pow_numVars` from `FineGrained/CountingSparsification` to `CNF/ModelCount` as `CNF.modelCount_le_two_pow_numVars`, update its clients there and in `ThreeOccurrenceReduction`, and drop the duplicate `ContractionCounting.modelCount_le_two_pow`. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015DLg8kwPs8yi7ePPdtoNvG
…gle-algorithm Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015DLg8kwPs8yi7ePPdtoNvG
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auditor-claude-e6cf7b0d-27 (Claude Code, Opus; Claude fleet). Delta audit of |
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Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015DLg8kwPs8yi7ePPdtoNvG
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auditor-claude-e6cf7b0d-27 (Claude Code, Opus; Claude fleet). Delta |
edemaine
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reviewer-codex-edemaine (independent non-author agent): APPROVE 6f8a8b0db3c18dfb5d261501126528d9c759b888.
Verified the clean merge's parents and compared the complete four-file own-layer payload: e35c32299..7d8b51c1c and 2ac0214a3..6f8a8b0db have identical added/removed lines, including both new Lean files. The earlier mathematical/API review therefore carries forward; #2029's blocking findings were resolved and independently cleared before it landed. The weaker general-density bound and occurring-variable convention remain explicit. No new findings or abstract impact.
Whitespace checks pass. At the exact-head inspection, title and guide passed; Lean CI was running. No reviewer Lean build or repeat review of unchanged mathematics.
Part of #1538. Stacked by merge on #2029 (base
claude/thm11-fixed-density); I'll retarget it tomainafter #2029 lands.worker-claude-e6cf7b0d-thm11-2, Claude Code, Opus.Change
This PR builds the single algorithm described in the last paragraph of Appendix D.3 (p. 57). It is one machine that branches on
m ≤ n⌈log₂⌈log₂ n⌉⌉:CountingNativeEndpoint.exists_modelCounter.What is proved.
DensityBranchCounting.exists_modelCounter k. For each widthk, one machine computesmodelCounton every width-kformula in polynomial space. A single time functionTsatisfies three bounds, wherenis the number of variables,mthe number of clauses andLthe encoding length:T φ ≤ ⌈2^(A·ρ(n))⌉·(L+1)^e, whereρ = interpolationScaleis the §6.4 scale;m ≤ threshold n = n⌈log₂⌈log₂ n⌉⌉,T φ ≤ 2^(A·threshold n/√⌊log₂(n+2)⌋)·(L+1)^e;D, whenm ≤ Dn,T φ ≤ 2^(A_D·n/√⌊log₂(n+2)⌋)·(L+1)^e.Proof.
n ν/√⌊log₂(n+2)⌋ ≤ 32 ρ(n), via the existingmul_iter_clog_sq_div_sqrt_clog_le_interpolationScale. Below 16384 variables, that branch sees at most 65536 clauses, so its exponential factor is a constant. It is charged to(L+1)^e, sinceL ≥ m.2^(2^D)variables, every formula withm ≤ Dntakes the contraction branch. Below that size the dense branch costs a constant, which goes intoA_D.Source mapping (locators checked in the pinned
paper.txt,openai/math@7ef5c0cc):λ = ⌈log₂ n⌉andν = ⌈log₂ λ⌉(p. 57).O_k(n log log n/√log n)"even at growing density" (p. 57).ℓ = n + 1. None of this is formalized, so the bound on every input stays at ρ(n), and the arbitrary-density bound of Theorem 1.1 remains open.nis the number of occurring variables (CNF.numVars), for both the threshold and the bounds, as in the two counters combined here. The paper counts declared variables, withn ≥ 20.eis fixed beforeD. The paper allowsO_{k,D}(1).Existential-constant check.
count,T,S,A,eandbare all chosen before the input and beforeD. OnlyA_Ddepends onD.interpolationScale n,threshold n/√⌊log₂(n+2)⌋andn/√⌊log₂(n+2)⌋.Tis theComputableInOtime function, so all three bounds are bounds on the same machine.65536·A₁in one case, and a finite maximum over sizes below2^(2^D)in the other.#print axioms exists_modelCounter:[propext, Classical.choice, Quot.sound].Endpoint (handoff item 5). The bound on every input is still ρ(n), the same as
CountingNativeEndpoint's. RestatingdecidableInSubexpTime_KSAT,satExponent_eq_zero,not_ETHornot_SETHfrom this counter would give the same statements, so I added no companions. All four are unchanged.Abstract impact. None, and this PR changes no statement that the abstract uses. The abstract could gain a headline, though: one counter with the §6.4 bound everywhere and Theorem 1.1's fixed-density bound. The test file derives the abstract's
exact_countstatement from this theorem. The choice is Samuel's.Also changed. One
ROADMAP.mdentry records what #2029 and this PR prove for Theorem 1.1, and that the arbitrary-density bound still needs Theorem D.1 withℓ = n + 1and Lemma D.2.Existing notions considered. I found no existing definition of
n⌈log₂⌈log₂ n⌉⌉, so this PR addsthreshold.interpolationScale,CNF.numVars,encCNF,ComputableInO.iteand both counters are reused.Validation
scripts/check.sh --quickfell back to all six gates, because the stacked diff changesComplexity.lean. Build,mk_all --check, test, lint, lint-style andcheckInitImportsall pass locally. One module docstring was reworded after that run. The final commitb2677d818was then rebuilt with--wfail(module and test), andlint-styleandcheck_hygiene.pypass on it.ComplexityTests/DensityBranchCounting.leanchecks:thresholdat small sizes;AI assistance
Written by Claude Code (Opus) as
worker-claude-e6cf7b0d-thm11-2, a worker ofcoordinator-claude-e6cf7b0d. It needs outside-fleet review.🤖 Generated with Claude Code
https://claude.ai/code/session_015DLg8kwPs8yi7ePPdtoNvG