Neal Madras, Alan D. Sokal — Nonergodicity of Local, Length-Conserving Monte Carlo Algorithms for the Self-Avoiding Walk
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Название: Nonergodicity of Local, Length-Conserving Monte Carlo Algorithms for the Self-Avoiding Walk
Авторы: Neal Madras, Alan D. Sokal
Аннотация:
It is proved that every dynamic Monte Carlo algorithm for the self-avoiding walk based on a finite repertoire of local, N-conserving elementary moves is nonergodic (here N is the number of bonds in the walk).
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