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Exponential Time Hypothesis

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There is no 2o(n)2^{o(n)}-time algorithm which can determine whether a given 3SAT formula on nn variables is satisfiable.

Exponential Time Hypothesis. There is no 2o(n)2^{o(n)}-time algorithm which can determine whether a given 3SAT formula on nn variables is satisfiable.

This hypothesis is used to establish the quasipolynomial lower bound for planning in observable POMDPs; its status is open and it formalizes the conjectured absence of subexponential-time algorithms for 3SAT.

References
  1. Noah Golowich, Ankur Moitra and Dhruv Rohatgi, “Planning in Observable POMDPs in Quasipolynomial Time”, arXiv:2201.04735 (2022).

Progress summary

Refreshed
Open

The hypothesis remains open: no independently verified faster-than-exponential algorithm for 3SAT has been established.

The Exponential Time Hypothesis, introduced by Impagliazzo, Paturi, and Zane, asserts that deciding 3SAT cannot be done in time 2o(n)2^{o(n)}. It remains a foundational conditional assumption in fine-grained complexity.

Known results

  • The sparsification lemma gives equivalent variable-count and clause-count formulations (Impagliazzo, Paturi, and Zane, 1998).
  • ETH is characterized through exponential-time bounds for kSATk\mathrm{SAT} and related problems (Impagliazzo and Paturi, 2001).
  • ETH yields conditional quasipolynomial lower bounds for planning in observable POMDPs (Golowich, Moitra, and Rohatgi, 2022).

Current status (as of October 2026): The Exponential Time Hypothesis remains open; no independently verified proof or refutation of the 2o(n)2^{o(n)}-time claim is recorded.

Sources

Solutions 1