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Theory of Stochastic Processes, 2012, Volume 18(34), Issue 1, Pages 3–44 (Mi thsp16)  

Metabasins – a state space aggregation for highly disordered energy landscapes

G. Alsmeyer, A. Winkler

Institut für Mathematische Statistik, Westfälische Wilhelms-Universität Münster
References:
Abstract: Glass-forming systems, characterized by a highly disordered energy landscape, have been studied in physics by a simulation-based state space aggregation. Choosing a path-independent approach within the framework of finite Markov chains, this article provides an aggregation procedure which, at an appropriate aggregation level, leads to the definition of certain metastates, called metabasins in Physics (for their properties see the Introduction). Roughly speaking, this will be the finest aggregation such that transitions back to an already visited (meta-)state are very unlikely within a moderate time frame.
Keywords: Metastability, metabasins, Markov chain aggregation, disordered systems, exit time, Metropolis algorithm.
Bibliographic databases:
Document Type: Article
MSC: 60J10, 82C44
Language: English
Citation: G. Alsmeyer, A. Winkler, “Metabasins – a state space aggregation for highly disordered energy landscapes”, Theory Stoch. Process., 18(34):1 (2012), 3–44
Citation in format AMSBIB
\Bibitem{AlsWin12}
\by G.~Alsmeyer, A.~Winkler
\paper Metabasins -- a state space aggregation for highly disordered energy landscapes
\jour Theory Stoch. Process.
\yr 2012
\vol 18(34)
\issue 1
\pages 3--44
\mathnet{http://mi.mathnet.ru/thsp16}
\mathscinet{https://mathscinet.ams.org/mathscinet-getitem?mr=3124761}
\zmath{https://zbmath.org/?q=an:1265.60133}
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