Usefulness of an equal-probability assumption for out-of-equilibrium states: A master equation approach
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ArticleKAUST Grant Number
KUK-I1-005-04Date
2012-10-18Permanent link to this record
http://hdl.handle.net/10754/600148
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We examine the effectiveness of assuming an equal probability for states far from equilibrium. For this aim, we propose a method to construct a master equation for extensive variables describing nonstationary nonequilibrium dynamics. The key point of the method is the assumption that transient states are equivalent to the equilibrium state that has the same extensive variables, i.e., an equal probability holds for microscopic states in nonequilibrium. We demonstrate an application of this method to the critical relaxation of the two-dimensional Potts model by Monte Carlo simulations. While the one-variable description, which is adequate for equilibrium, yields relaxation dynamics that are very fast, the redundant two-variable description well reproduces the true dynamics quantitatively. These results suggest that some class of the nonequilibrium state can be described with a small extension of degrees of freedom, which may lead to an alternative way to understand nonequilibrium phenomena. © 2012 American Physical Society.Citation
Nogawa T, Ito N, Watanabe H (2012) Usefulness of an equal-probability assumption for out-of-equilibrium states: A master equation approach. Phys Rev E 86. Available: http://dx.doi.org/10.1103/PhysRevE.86.041133.Sponsors
This work was partly supported by Award No. KUK-I1-005-04 presented by King Abdullah University of Science and Technology (KAUST).Publisher
American Physical Society (APS)Journal
Physical Review EPubMed ID
23214555ae974a485f413a2113503eed53cd6c53
10.1103/PhysRevE.86.041133
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