Strong Exponential Time Hypothesis
Canonical statement
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For every \(\varepsilon>0\) there exists an integer
\(k\geq3\) such that \(k\)-SAT—satisfiability of CNF formulas whose
clauses contain at most \(k\) literals—on \(n\) variables cannot be
decided by a
deterministic algorithm in time
\[
O((2-\varepsilon)^n).
\]Notes
The Strong Exponential Time Hypothesis (SETH) concerns satisfiability of CNF formulas whose clauses have width at most . It asserts that for every there is some for which -SAT on variables cannot be decided by a deterministic algorithm in time ; equivalently, the best achievable exponential base for -SAT tends to as grows. The hypothesis was formulated by Impagliazzo and Paturi in 2001 [ImpagliazzoPaturi2001ETH], alongside the companion study of strongly exponential complexity by Impagliazzo, Paturi and Zane [ImpagliazzoPaturiZane2001].
Known algorithms are consistent with the hypothesis: for every fixed one can beat exhaustive search, but the bases of these running times approach as increases, and no improvement bounded away from uniformly in has been found. SETH strictly strengthens the Exponential Time Hypothesis, and both assumptions are used side by side because they support different quantitative lower bounds, notably tight running-time bounds in parameterized complexity [CyganEtAl2015Parameterized].
The hypothesis is open in both directions: refuting it requires a -time algorithm working for all , while proving it would require unconditional lower bounds far beyond current techniques.
References (3)
- [ImpagliazzoPaturi2001ETH]
On the complexity of k-SAT
Open ↗Russell Impagliazzo and Ramamohan Paturi · 2001 · misc
- [ImpagliazzoPaturiZane2001]
Which problems have strongly exponential complexity?
Open ↗Russell Impagliazzo and Ramamohan Paturi and Francis Zane · 2001 · misc
- [CyganEtAl2015Parameterized]
Parameterized Algorithms
Open ↗Marek Cygan et al. · 2015 · misc
The boxed statement is the canonical open formulation — not a stronger variant or a related research program. The status reflects the catalog's last review; do your own literature search before investing serious effort.