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Reducing quasi-ergodicity in a double well potential by Tsallis Monte Carlo simulation

Masao Iwamatsu and Yutaka Okabe

Physica A: Statistical Mechanics and its Applications, 2000, vol. 278, issue 3, 414-427

Abstract: A new Monte Carlo scheme based on the system of Tsallis’ generalized statistical mechanics is applied to a simple double well potential to calculate the canonical thermal average of potential energy. Although we observed serious quasi-ergodicity when using the standard Metropolis Monte Carlo algorithm, this problem is largely reduced by the use of the new Monte Carlo algorithm. Therefore, the ergodicity is guaranteed even for short Monte Carlo steps if we use this new canonical Monte Carlo scheme.

Keywords: Monte Carlo; Tsallis statistics; Double well potential (search for similar items in EconPapers)
Date: 2000
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:278:y:2000:i:3:p:414-427

DOI: 10.1016/S0378-4371(99)00640-8

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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