DMTCS Proceedings, Discrete Random Walks, DRW'03

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DMTCS Conference vol AC (2003), pp. 113-126

DMTCS

Discrete Random Walks, DRW'03

Cyril Banderier and Christian Krattenthaler (eds.)

DMTCS Conference Volume AC (2003), pp. 113-126


author: David Gamarnik
title: Linear Phase Transition in Random Linear Constraint Satisfaction Problems
keywords: Random K-SAT, Satisfiability Threshold, Linear Programming, Sparse Random Graphs
abstract: Our model is a generalized linear programming relaxation of a much studied random K-SAT problem. Specifically, a set of linear constraints
C
on
K
variables is fixed. From a pool of
n
variables,
K
variables are chosen uniformly at random and a constraint is chosen from
C
also uniformly at random. This procedure is repeated
m
times independently. We are interested in whether the resulting linear programming problem is feasible. We prove that the feasibility property experiences a linear phase transition, when
n→∞
and
m=cn
for a constant
c
. Namely, there exists a critical value
c
*
such that, when
c < c
*
, the problem is feasible or is asymptotically almost feasible, as
n→∞
, but, when
c>c
*
, the "distance" to feasibility is at least a positive constant independent of
n
. Our result is obtained using the combination of a powerful local weak convergence method developed in Aldous [1992, 2000], Aldous and Steele [2003], Steele [2002] and martingale techniques. By exploiting a linear programming duality, our theorem implies the following result in the context of sparse random graphs
G(n, cn)
on
n
nodes with
cn
edges, where edges are equipped with randomly generated weights. Let
M(n,c)
denote maximum weight matching in
G(n, cn)
. We prove that when
c
is a constant and
n→∞
, the limit
lim
n→∞
M(n,c)/n,
exists, with high probability. We further extend this result to maximum weight
b
-matchings also in
G(n,cn)
.
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reference: David Gamarnik (2003), Linear Phase Transition in Random Linear Constraint Satisfaction Problems, in Discrete Random Walks, DRW'03, Cyril Banderier and Christian Krattenthaler (eds.), Discrete Mathematics and Theoretical Computer Science Proceedings AC, pp. 113-126
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