Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2006-09-05
Journal of Statistical Mechanics: Theory and Experiment (2006) P10007
Physics
Condensed Matter
Disordered Systems and Neural Networks
20 pages
Scientific paper
10.1088/1742-5468/2006/10/P10007
The random XORSAT problem deals with large random linear systems of Boolean variables. The difficulty of such problems is controlled by the ratio of number of equations to number of variables. It is known that in some range of values of this parameter, the space of solutions breaks into many disconnected clusters. Here we study precisely the corresponding geometrical organization. In particular, the distribution of distances between these clusters is computed by the cavity method. This allows to study the `x-satisfiability' threshold, the critical density of equations where there exist two solutions at a given distance.
Mezard Marc
Mora Thierry
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