Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1998-07-17
Physical Review E 58, 7978 (1998)
Physics
Condensed Matter
Disordered Systems and Neural Networks
17 pages(Revtex), 8 Postscript figures(5color) to appear in Phys. Rev. E 58, December 1st (1998)
Scientific paper
10.1103/PhysRevE.58.7978
It has been known for a long time that the ground state problem of random magnets, e.g. random field Ising model (RFIM), can be mapped onto the max-flow/min-cut problem of transportation networks. I build on this approach, relying on the concept of residual graph, and design an algorithm that I prove to be exact for finding all the minimum cuts, i.e. the ground state degeneracy of these systems. I demonstrate that this algorithm is also relevant for the study of the ground state properties of the dilute Ising antiferromagnet in a constant field (DAFF) and interfaces in random bond magnets.
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