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Syntactic Separation of Subset Satisfiability Problems

Authors Eric Allender, Martín Farach-Colton, Meng-Tsung Tsai



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Author Details

Eric Allender
  • Rutgers University, Piscataway, NJ 08854, USA
Martín Farach-Colton
  • Rutgers University, Piscataway, NJ 08854, USA
Meng-Tsung Tsai
  • National Chiao Tung University, Hsinchu, Taiwan

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Eric Allender, Martín Farach-Colton, and Meng-Tsung Tsai. Syntactic Separation of Subset Satisfiability Problems. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 145, pp. 16:1-16:23, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/LIPIcs.APPROX-RANDOM.2019.16

Abstract

Variants of the Exponential Time Hypothesis (ETH) have been used to derive lower bounds on the time complexity for certain problems, so that the hardness results match long-standing algorithmic results. In this paper, we consider a syntactically defined class of problems, and give conditions for when problems in this class require strongly exponential time to approximate to within a factor of (1-epsilon) for some constant epsilon > 0, assuming the Gap Exponential Time Hypothesis (Gap-ETH), versus when they admit a PTAS. Our class includes a rich set of problems from additive combinatorics, computational geometry, and graph theory. Our hardness results also match the best known algorithmic results for these problems.

Subject Classification

ACM Subject Classification
  • Theory of computation
Keywords
  • Syntactic Class
  • Exponential Time Hypothesis
  • APX
  • PTAS

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