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Metastates in Mean-Field Models with Random External Fields Generated by Markov Chains

✍ Scribed by M. Formentin; C. Külske; A. Reichenbachs


Publisher
Springer
Year
2011
Tongue
English
Weight
582 KB
Volume
146
Category
Article
ISSN
0022-4715

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We present an efficient algorithm that, combined with a max-flow, min-cut minimization algorithm, makes it possible to find the ground states of the Gaussian Random Field Ising model when the external applied field B is continuously varied from -∞ to +∞. The algorithm exactly finds all the possible