Generalized Ensemble and Tempering Simulations: A Unified View

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dc.creatorNadler, Walter
dc.creatorHansmann, Ulrich H. E.
dc.date2006-05-16
dc.date2007-01-12
dc.date.accessioned2026-07-07T10:24:13Z
dc.date.available2026-07-07T10:24:13Z
dc.descriptionFrom the underlying Master equations we derive one-dimensional stochastic processes that describe generalized ensemble simulations as well as tempering (simulated and parallel) simulations. The representations obtained are either in the form of a one-dimensional Fokker-Planck equation or a hopping process on a one-dimensional chain. In particular, we discuss the conditions under which these representations are valid approximate Markovian descriptions of the random walk in order parameter or control parameter space. They allow a unified discussion of the stationary distribution on, as well as of the stationary flow across each space. We demonstrate that optimizing the flow is equivalent to minimizing the first passage time for crossing the space, and discuss the consequences of our results for optimizing simulations. Finally, we point out the limitations of these representations under conditions of broken ergodicity.
dc.description11 pages Latex, 2 eps figures, revised version, typos corrected, PRE in press
dc.identifierhttps://arxiv.org/abs/cond-mat/0605408
dc.identifierhttp://arxiv.org/abs/cond-mat/0605408
dc.identifierPhys.Rev.E75:026109,2007
dc.identifierdoi:10.1103/PhysRevE.75.026109
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/176109
dc.subjectStatistical Mechanics
dc.subjectSoft Condensed Matter
dc.subjectHigh Energy Physics - Lattice
dc.subjectBiomolecules
dc.titleGeneralized Ensemble and Tempering Simulations: A Unified View
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