Complexity lab / SAT diagonalization

P != NP as a question of compression, witness space, and self-reference.

This room reconstructs the uploaded preprint series as an academic working model: a proposed proof route through SAT solution-space incompressibility, not a claim of settled community acceptance.

Independent preprint Expert review required Six uploaded PDFs
assume f phi_f exclude f(enc(phi_f)) SAT remains?

Problem

P vs NP frame

If SAT is solvable in polynomial time, then P = NP; if no such polynomial-time procedure exists, P != NP.

Formal object P = NP iff SAT in P
Function in argument

Sets the target problem through the standard Cook-Levin equivalence.

standard background

Interactive instrument

Compress a witness space, then watch the diagonal formula avoid it.

This finite model atlasnstrates the mechanism behind the uploaded papers: a small candidate list is selected, the formula adds one exclusion clause per candidate, and the remaining Boolean cube is inspected for witnesses. It visualizes the diagonal exclusion step; the full preprint additionally requires the fixed-point, constructivity, and barrier arguments.

Mode toy verifier Shows the construction logic; it is not a substitute for the full proof.
Boolean cube 16 assignments
Remaining witnesses 11

Generated formula

phi_f excludes exactly the candidate set.

Candidate set 5
Exclusion clauses 5
Diagonal result SAT

The compressor selected five assignments. The generated CNF forbids those five points and leaves other assignments available as witnesses.

f candidate excluded by phi_f remaining satisfying witness first available witness

Review cockpit

A world-class version must expose the proof obligations, not hide them.

Selected audit node 01

Compressibility equivalence

What this page atlasnstrates

The page models a compressor as a finite candidate selector over {0,1}^n.

What the PDF must prove

Prove the precise equivalence between a polynomial hitting-set compressor for SAT witnesses and a polynomial-time SAT decision/search procedure.

Failure mode to rule out

If CH is weaker or stronger than P = NP, the diagonal contradiction may miss the target theorem.

Status Review target

Uploaded P != NP corpus

Six documents are treated as one reviewable argument system.

Part I 7 pages

Refutation of the Compressibility Hypothesis

Defines CH for SAT and introduces the diagonal self-referential formula phi_f.

Contribution
Frames P != NP as the failure of a universal polynomial-size solution-space compressor.
Review posture
Presented on the site as an independent preprint proposing a proof.
ssrn-5227395.pdf Open PDF
Part II 7 pages

Polynomial construction and barriers

Replaces reliance on a fixed-point theorem with an explicit polynomial construction program.

Contribution
Moves the argument from abstract self-reference toward a constructive algorithmic object.
Review posture
The polynomial constructivity claim remains a key verification target.
ssrn-5232844.pdf Open PDF
Part III 8 pages

Practical verification and specificity

Adds PySAT-style computational checks and compares the behavior against 2SAT.

Contribution
Introduces an empirical layer for satisfiability, exclusion, and NP-complete specificity.
Review posture
Experiments illustrate the construction; they do not replace a formal proof.
ssrn-5368324.pdf Open PDF
Part IV 9 pages

Formalization and exhaustive validation

Restates CH, fixed-point convergence, satisfiability, exclusion, and edge cases.

Contribution
Collects the proof obligations into a more explicit checklist.
Review posture
The site keeps these as obligations for independent mathematical review.
ssrn-5371980.pdf Open PDF
Part V 8 pages

Equivalence proof, gap closure, barrier analysis

Strengthens the equivalence between CH and P = NP and addresses review gaps.

Contribution
Turns the sequence into a single audit trail: equivalence, construction, exclusion, barriers.
Review posture
Claims are displayed as the author's preprint architecture, not a settled theorem.
ssrn-5431597.pdf Open PDF
Extended Part V 106 pages

Measure-growth theorem and barrier resilience

Develops structural diagonalization, a syntactic gadget, and a measure-growth invariant.

Contribution
Adds a large methodological defense against relativization, natural proofs, and algebrization.
Review posture
Best treated as the main verification dossier for experts.
p-np-measure-growth-barrier-resilience-formal-verification-part-v.pdf Open PDF

Parsed corpus / evidence layer

The PDF series is now treated as a structured proof dossier.

The six uploaded PDFs have been extracted into text and analyzed as one connected argument: SAT compression, polynomial self-reference, diagonal exclusion, barrier resilience, and formal verification targets. This block separates the public claim from the exact proof obligations that an expert reviewer would inspect first.

PDFs parsed 6
Total pages 145
Total words 43,239
Main dossier 106 pages
01

Standardize the hypothesis

Unify CH / IH / CH1 into one precise statement: a polynomial-time SAT witness candidate-set compressor whose output intersects the satisfying assignments of every satisfiable CNF.

02

Prove equivalence to P = NP

Show both directions: SAT in P gives the compressor by search self-reduction, and the compressor decides SAT by checking its polynomial-size output list.

03

Make phi_f constructive

The self-referential formula must be produced by an explicit polynomial-time construction, not by an informal appeal to fixed-point intuition.

04

Preserve satisfiability

The diagonal clauses must exclude the candidates returned by f while leaving at least one satisfying witness after all encoding and gadget constraints.

05

Isolate the 2SAT boundary

The construction should be presented as a SAT / 3SAT mechanism; 2SAT must be treated as a boundary case, not as proof that known P problems are paradoxical.

06

Keep experiments in their lane

PySAT traces and finite simulations are valuable reproducibility artifacts, but the asymptotic separation must rest on the formal construction.

Corpus files

Open the extracted text and the review map.

These files make the proof corpus auditable. The Markdown analysis records the argument architecture, strengths, likely expert objections, and the next formal work needed before peer-facing presentation.

NP-complete landmark / Traveling Salesman Problem

The commivoyager problem shows why verification is easy while search can explode.

The Traveling Salesman Problem is one of the cleanest public examples of the P versus NP tension. A proposed route can be checked quickly: does it visit every city exactly once, return to the start, and stay under a stated distance bound? Finding the best route, however, appears to require navigating a vast space of possible tours.

On this site it is not only a metaphor: the Route Optimization Globe turns the commivoyager problem into an interactive map laboratory. SAT remains the formal proof arena, while the globe gives readers a geographic model of witness spaces, candidate routes, compression pressure, and verification versus search.

Decision version Given cities, pairwise distances, and bound B: is there a tour visiting every city once with total length <= B?

The optimization version asks for the shortest tour. The decision version is the one used in NP-completeness statements.

Open Route Optimization Globe
Witnesscity order
Verificationpolynomial
Naive searchfactorial
Decision TSPNP-complete
AYerevanAniVanTigranakertKarsA
Why it is in NP

A certificate is just a route.

If someone gives a tour, the verifier adds the distances and checks that each city appears once. That is the same search-versus-checking divide that makes P vs NP so sharp.

Why it matters

Candidate space grows brutally.

For n cities, the number of possible tours grows faster than exponential intuition suggests. Even clever exact algorithms remain expensive at scale.

Why it does not trivialize

Approximation is not exact solution.

Metric and Euclidean variants have strong approximation theory, but those results do not solve the exact general decision problem in polynomial time.

Relation to SAT

SAT remains the proof engine.

TSP helps readers see the witness-space problem, but SAT is used because it is the canonical NP-complete language for formal reductions and diagonal constructions.

Relation to compression

A route list is a candidate set.

A hypothetical polynomial procedure that always keeps only the right few candidate tours would be a form of solution-space compression. The AP argument studies this kind of pressure through SAT.

Relation to AP maps

Geography is intuitive, not evidence of proof.

The Route Optimization Globe is the live AP map module for this idea: it lets users compare route construction and improvement while the complexity page explains why checking a proposed tour is different from finding one.

Proof obligations

The site should make the argument inspectable, not merely impressive.

The strongest version of this page is a verification cockpit: every major claim becomes a node, every node has a formula, and every formula has an audit question.

  1. CH equivalence to P = NP is stated with an explicit candidate-set function.
  2. phi_f must be constructible within polynomial bounds for every admissible f.
  3. The exclusion clauses must forbid f's candidates without destroying satisfiability.
  4. The satisfiability margin must survive encoding overhead and boundary cases.
  5. The argument must not be a disguised relativizing, naturalizing, or algebrizing method.
  6. Empirical checks should be treated as reproducibility evidence, not as final proof.

Barrier audit

Relativization, natural proofs, and algebrization are displayed as active tests.

Relativization

Many diagonal arguments fail because they would also work relative to arbitrary oracles.

The preprint series argues that the construction is index-sensitive and tied to canonical encodings. Does the construction depend on non-oracle-stable syntactic information in an essential way?

Natural proofs

Large, constructive properties of Boolean functions cannot easily prove strong lower bounds under standard cryptographic assumptions.

The measure-growth predicate is presented as not large, not distribution-robust, and not merely a property of the Boolean function. Is the predicate genuinely non-natural under the Razborov-Rudich criteria?

Algebrization

Some non-relativizing techniques still fail after algebraic extension.

The work argues that clause-level exclusion and witness uniqueness collapse under low-degree algebraic transfer. Can the core invariant be preserved in an algebraic extension, or does it necessarily break?

Public dossier link

How the work remains academically cautious on the site.

SSRN card: preprint posted May 6, 2025 and revised May 7, 2025, proposing an argument around P != NP, SAT, and compressibility.

Open formal dossier
Problem

The relation between finding a solution and verifying a solution

Object

SAT solution spaces and whether their structure can be compressed

Formal gesture

Diagonalization and incompressibility are treated as pressure points

Site treatment

Displayed as a formal map of limits, not as an unreviewed final theorem