We give new and explicitly computable examples of Gibbs-non-Gibbs transitions of mean-field type, using the large deviation approach introduced in (van Enter et al. in Mosc. Math. J. 10:687-711, 2010). These examples include Brownian motion with small variance and related diffusion processes, such as the Ornstein-Uhlenbeck process, as well as birth and death processes. We show for a large class of initial measures and diffusive dynamics both short-time conservation of Gibbsianness and dynamical Gibbs-non-Gibbs transitions. © 2012 The Author(s).
CITATION STYLE
Redig, F., & Wang, F. (2012). Gibbs-Non-Gibbs Transitions via Large Deviations: Computable Examples. Journal of Statistical Physics, 147(6), 1094–1112. https://doi.org/10.1007/s10955-012-0523-9
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