1998
DOI: 10.1103/physrevlett.81.2554
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Droplet Phenomenology and Mean Field in a Frustrated Disordered System

Abstract: The low lying excited states of the three-dimensional minimum matching problem are studied numerically. The excitations' energies grow with their size and confirm the droplet picture. However, some low energy, infinite size excitations create multiple valleys in the energy landscape. These states violate the droplet scaling ansatz, and are consistent with mean field predictions. A similar picture may apply to spin glasses whereby the droplet picture describes the physics at small length scales, while mean fiel… Show more

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Cited by 12 publications
(15 citation statements)
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“…Physically, in the latter case it is much more difficult to find a second low energy configuration in the neighborhood of a first one. It would be interesting to study this effect further along the lines of [20,21]. The glassy phase is of a special type, distinct from the one found in other recently solved NP-complete decision problems, because it has vanishing internal entropy.…”
mentioning
confidence: 92%
“…Physically, in the latter case it is much more difficult to find a second low energy configuration in the neighborhood of a first one. It would be interesting to study this effect further along the lines of [20,21]. The glassy phase is of a special type, distinct from the one found in other recently solved NP-complete decision problems, because it has vanishing internal entropy.…”
mentioning
confidence: 92%
“…Our findings about the broadness of the P (q) could suggest for the existence of zero-energy fluctuations of the order of the volume, which is a well known behavior in spin glass and disordered systems. In [15], for example, it has been found that the matching problem (which is disordered and frustrated) has low-energy excitations of order √ L. These excitations becomes irrelevant in the thermodynamical limit, but they are a key ingredient in order to correctly describe finite systems. In the low temperature region of our model (from T = 0.13 down to T = 0) χ ∝ L 0.6 and it has strong fluctuations from sample to sample.…”
mentioning
confidence: 99%
“…The main obstacle impeding this kind of numerical test of our picture is the problem of finding excited states. The only truely reliable way to find these states is by a branch and bound algorithm as was done for the minimum matching problem [13]. At present, branch and bound algorithms for spin glasses cannot treat systems larger than L = 5, so it is important to improve significantly the algorithmic tools currently available.…”
mentioning
confidence: 99%