Cookies?
Library Header Image
LSE Research Online LSE Library Services

Random MAX SAT, random MAX CUT, and their phase transitions

Coppersmith, Don, Gamarnik, David, Taghi Hajiaghayi, Mohammad and Sorkin, Gregory B. ORCID: 0000-0003-4935-7820 (2004) Random MAX SAT, random MAX CUT, and their phase transitions. Random Structures and Algorithms, 24 (4). pp. 502-545. ISSN 1042-9832

Full text not available from this repository.
Identification Number: 10.1002/rsa.20015

Abstract

With random inputs, certain decision problems undergo a “phase transition.” We prove similar behavior in an optimization context. Given a conjunctive normal form (CNF) formula F on n variables and with m k-variable clauses, denote by max F the maximum number of clauses satisfiable by a single assignment of the variables. (Thus the decision problem k-SAT is to determine if max F is equal to m.) With the formula F chosen at random, the expectation of max F is trivially bounded by (3/4)m &les; &Eopf; max F &les; m. We prove that for random formulas with m = ⌊cn⌋ clauses: for constants c < 1, &Eopf; max F is ⌊cn⌋ - Θ(1/n); for large c, it approaches ** equation here ** and in the “window” c = 1 + Θ(n-1/3), it is cn - Θ(1). Our full results are more detailed, but this already shows that the optimization problem MAX 2-SAT undergoes a phase transition just as the 2-SAT decision problem does, and at the same critical value c = 1. Most of our results are established without reference to the analogous propositions for decision 2-SAT, and can be used to reproduce them. We consider “online” versions of MAX 2-SAT, and show that for one version the obvious greedy algorithm is optimal; all other natural questions remain open. We can extend only our simplest MAX 2-SAT results to MAX k-SAT, but we conjecture a “MAX k-SAT limiting function conjecture” analogous to the folklore “satisfiability threshold conjecture,” but open even for k = 2. Neither conjecture immediately implies the other, but it is natural to further conjecture a connection between them. We also prove analogous results for random MAX CUT.

Item Type: Article
Official URL: http://onlinelibrary.wiley.com/journal/10.1002/(IS...
Additional Information: © 2004 Wiley Periodicals, Inc.
Divisions: Management
Subjects: Q Science > QA Mathematics
Date Deposited: 13 Apr 2011 14:23
Last Modified: 13 Sep 2024 21:50
URI: http://eprints.lse.ac.uk/id/eprint/35491

Actions (login required)

View Item View Item