Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-11-03
Physical Review Letters 94, 217203 (2005)
Physics
Condensed Matter
Disordered Systems and Neural Networks
Final version as appeared in PRL
Scientific paper
10.1103/PhysRevLett.94.217203
In a spin glass system on a random graph, some vertices have their spins changing among different configurations of a ground--state domain. Long range frustrations may exist among these unfrozen vertices in the sense that certain combinations of spin values for these vertices may never appear in any configuration of this domain. We present a mean field theory to tackle such long range frustrations and apply it to the NP--hard minimum vertex cover (hard--core gas condensation) problem. Our analytical results on the ground--state energy density and on the fraction of frozen vertices are in good agreement with known numerical and mathematical results.
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