Finite-size scaling in random K-satisfiability problems

Sang Hoon Lee, Meesoon Ha, Chanil Jeon, and Hawoong Jeong
Phys. Rev. E 82, 061109 – Published 7 December 2010

Abstract

We provide a comprehensive view of various phase transitions in random K-satisfiability problems solved by stochastic-local-search algorithms. In particular, we focus on the finite-size scaling (FSS) exponent, which is mathematically important and practically useful in analyzing finite systems. Using the FSS theory of nonequilibrium absorbing phase transitions, we show that the density of unsatisfied clauses clearly indicates the transition from the solvable (absorbing) phase to the unsolvable (active) phase as varying the noise parameter and the density of constraints. Based on the solution clustering (percolation-type) argument, we conjecture two possible values of the FSS exponent, which are confirmed reasonably well in numerical simulations for 2K3.

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  • Received 3 May 2010

DOI:https://doi.org/10.1103/PhysRevE.82.061109

© 2010 The American Physical Society

Authors & Affiliations

Sang Hoon Lee1,*, Meesoon Ha1,†, Chanil Jeon1, and Hawoong Jeong1,2

  • 1Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea
  • 2Institute for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea

  • *Present address: IceLab, Department of Physics, Umeå University, 901 87 Umeå, Sweden.
  • Corresponding author; msha@kaist.ac.kr

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Issue

Vol. 82, Iss. 6 — December 2010

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