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Information, Physics, and Computation$
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Marc Mézard and Andrea Montanari

Print publication date: 2009

Print ISBN-13: 9780198570837

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780198570837.001.0001

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Linear equations with Boolean variables

Linear equations with Boolean variables

Chapter:
(p.403) 18 Linear equations with Boolean variables
Source:
Information, Physics, and Computation
Author(s):

Marc Mézard

Andrea Montanari

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198570837.003.0018

Solving a system of linear equations over a finite field is arguably one of the most fundamental operations in mathematics. This chapter considers a specific ensemble of random linear systems over Boolean variables, named XORSAT, and discusses the structure of its set of solutions. In large instances, the affine subspace of solutions can exhibit a remarkably rich geometrical structure. When the ratio of equations to variables is increased, the system first gets into an intermediate phase where solutions cluster in many well separated regions of the hypercube. Then it encounters a second phase transition and gets into an ‘UNSAT’ phase where the probability of existence of a solution vanishes. The study uses belief propagation equations, and a combinatorial analysis of the 2-core in the associated factor graph.

Keywords:   linear system, Boolean variables, XORSAT, belief propagation, cluster, 2-core

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