Probabilistic Cellular AutomataIsing Model on the Torus and PCA Dynamics: Reversibility, Irreversibility, and Fast Tunneling
Probabilistic Cellular Automata: Ising Model on the Torus and PCA Dynamics: Reversibility,...
Lancia, Carlo; Scoppola, Benedetto
2018-02-22 00:00:00
[In this chapter, we present a class of PCA (Probabilistic Cellular Automata) that can be used for approximate sampling the Gibbs measure. We list a series of results about them, restricting the discussion to the nearest-neighbor Ising model. For both the weakly and strongly coupled spins, we show how it is possible to explicitly evaluate the accuracy of our approximation scheme. Moreover, in the strong coupling regime (low temperature), we show how our procedure may drastically improve the known results about the convergence of the system to the stationary distribution. An important ingredient in this context is the use of an irreversible dynamics, which let new interesting states (the so-called Ising waves) arise.]
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pnghttp://www.deepdyve.com/lp/springer-journals/probabilistic-cellular-automata-ising-model-on-the-torus-and-pca-0U3oHW8Hd0
Probabilistic Cellular AutomataIsing Model on the Torus and PCA Dynamics: Reversibility, Irreversibility, and Fast Tunneling
[In this chapter, we present a class of PCA (Probabilistic Cellular Automata) that can be used for approximate sampling the Gibbs measure. We list a series of results about them, restricting the discussion to the nearest-neighbor Ising model. For both the weakly and strongly coupled spins, we show how it is possible to explicitly evaluate the accuracy of our approximation scheme. Moreover, in the strong coupling regime (low temperature), we show how our procedure may drastically improve the known results about the convergence of the system to the stationary distribution. An important ingredient in this context is the use of an irreversible dynamics, which let new interesting states (the so-called Ising waves) arise.]
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.