arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1003.2013nlin.CDcond-mat.stat-mech
收藏

Multicanonical Sampling of Rare Trajectories in Chaotic Dynamical Systems

Akimasa Kitajima, Yukito Iba

英文摘要:

In chaotic dynamical systems, a number of rare trajectories with low level of chaoticity are embedded in chaotic sea, while extraordinary unstable trajectories can exist even in weakly chaotic regions. In this study, a quantitative method for searching these rare trajectories is developed; the method is based on multicanonical Monte Carlo and can estimate the probability of initial conditions that lead to trajectory fragments of a given level of chaoticity. The proposed method is successfully tested with four-dimensional coupled standard maps, where probabilities as small as $10^{-14}$ are estimated.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑