Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2001-03-15
Phys. Rev. Lett. 87 (2001) 127209
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 1 figure, accepted for publication in PRL
Scientific paper
10.1103/PhysRevLett.87.127209
We study the low temperature properties of p-spin glass models with finite connectivity and of some optimization problems. Using a one-step functional replica symmetry breaking Ansatz we can solve exactly the saddle-point equations for graphs with uniform connectivity. The resulting ground state energy is in perfect agreement with numerical simulations. For fluctuating connectivity graphs, the same Ansatz can be used in a variational way: For p-spin models (known as p-XOR-SAT in computer science) it provides the exact configurational entropy together with the dynamical and static critical connectivities (for p=3, \gamma_d=0.818 and \gamma_s=0.918 resp.), whereas for hard optimization problems like 3-SAT or Bicoloring it provides new upper bounds for their critical thresholds (\gamma_c^{var}=4.396 and \gamma_c^{var}=2.149 resp.).
Franz Silvio
Leone Maurizio
Ricci-Tersenghi Federico
Zecchina Riccardo
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