Нашли опечатку? Выделите ее мышкой и нажмите Ctrl+Enter
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).