Conjecture · version 1

Strong Exponential Time Hypothesis — randomized version

Earlier version 1. View current version 2 →

Statement

For every fixed α in (0,1), there is a fixed clause width k such that k-CNF-SAT on n variables has no bounded-error randomized O(2^{αn})-time algorithm.

Assumptions

  • The bounded-error randomized convention explicitly used in Cygan et al., §1; width k depends on α.
  • Parameter is the number of variables; fixed-width formulas can be normalized to polynomial input length.

Scope

A fine-grained hardness premise stronger than the deterministic version; neither version follows from P ≠ NP.

Evidence

Connections

In this problem · publication v7

P versus NP →

Different statement · related variant · Open

This statement contributes context in its stated scope; it does not settle the canonical P versus NP question.

One-way implication

The cited randomized SETH excludes even fixed-base exponential improvements for some clause width, and therefore excludes polynomial deterministic algorithms.

This version is stronger than deterministic SETH; neither is implied by P ≠ NP.

Details & sources
Strong Exponential Time Hypothesis — randomized version →

Open · version 1

For every fixed α in (0,1), there is a fixed clause width k such that k-CNF-SAT on n variables has no bounded-error randomized O(2^{αn})-time algorithm.

  • The bounded-error randomized convention explicitly used in Cygan et al., §1; width k depends on α.
  • Parameter is the number of variables; fixed-width formulas can be normalized to polynomial input length.

Scope: A fine-grained hardness premise stronger than the deterministic version; neither version follows from P ≠ NP.

P ≠ NP →

Open · version 2

There exists a language in NP that is not decidable by any deterministic polynomial-time algorithm.

  • Finite binary inputs; uniform classical computation; polynomial time in bit length.

Scope: The conjectural negative answer to the same canonical question.

Randomized SETH would separate P and NP →

Relationship statement · Proved · version 1

If the stated bounded-error randomized SETH holds, then P ≠ NP.

  • The stated SETH formulation; deterministic algorithms are a special case of bounded-error randomized algorithms; fixed-width SAT is in NP.

Scope: Only a sufficient stronger premise; P ≠ NP gives no such exponent or randomized lower bound.

Relationship not independently reviewed.

Connection in P versus NP →

Relationship not independently reviewed. This concerns its use in this problem.

Sources

Cygan et al. · On problems as hard as CNF-SAT →

Marek Cygan · Holger Dell · Daniel Lokshtanov · Dániel Marx · Jesper Nederlof · Yoshio Okamoto · Ramamohan Paturi · Saket Saurabh · Magnus Wahlström · Preprint · Publication date Mar 27, 2014

Author full version dated March 2014; an extended abstract appeared at CCC 2012. The paper explicitly uses a bounded-error randomized formulation of SETH.

Revision & attribution

Source revision: arXiv-1112.2275v3. Observed Oct 10, 2026.

AI involvement is not reported by this cited source; this is not a claim of its absence.

Cygan et al. · On problems as hard as CNF-SAT — proof text: arXiv-1112.2275v3. External source text. Its mathematical claims and independent OpenMath review are assessed separately.

Stephen Cook · The P versus NP problem →

Stephen Cook · Published

Published author exposition or original paper.

Revision & attribution

Source revision: official-description-sha256-018f3d473d16. Observed Oct 10, 2026.

AI involvement is not reported by this cited source; this is not a claim of its absence.

History

Statement versions

Statement versions and problem publication versions are separate. A new publication can update context or sources while retaining the same statement.

Assessment history · 1

Assessments retained in these publication records. Earlier statement versions retain their own source histories.

Record details
Claim ID
claim-pnp-seth
Statement version
1
SHA-256
8039bf1e9050ece1c9188c1f4f21a9c553f7145ea391abcfe2e4d1b1360416c4

Publication records