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Stochastic Ising Models at Zero Temperature on Various Graphs

<p> In this thesis we study continuous time Markov processes whose state space consists of an assignment of +1 or -1 to each vertex <i>x</i> of a graph <i>G.</i> We will consider two processes, &sigma;(<i> t</i>) and &sigma;'(<i>t</i>), having similar update rules. The process &sigma;(<i>t</i>) starts from an initial spin configuration chosen from a Bernoulli product measure with density &theta; of +1 spins, and updates the spin at each vertex, &sigma;<i><sub>x</sub>(t),</i> by taking the value of a majority of <i>x</i>'s nearest neighbors or else tossing a fair coin in case of a tie. The process &sigma;'(<i> t</i>) starts from an arbitrary initial configuration and evolves according to the same rules as &sigma;(<i>t</i>), except for some vertices which are frozen plus (resp., minus) with density &rho;<sup>+</sup> (resp., &amp; &rho;<sup>&ndash;</sup>) and whose value is not allowed to change. Our results are for when &sigma;(<i>t</i>) evolves on graphs related to homogeneous trees of degree <i>K</i> &ge; 3, such as finite or infinite stacks of such trees, while the process &sigma;'(<i>t</i>) evolves on Z<sup>d</sup>, <i>d</i> &ge; 2. We study the long time behavior of these processes and, in the case of &sigma;'(<i>t</i>), the prevalence of vertices that are (eventually) fixed plus or fixed minus or flippers (changing forever). We prove that, if &theta; is close enough to 1, &sigma;(<i>t</i>) reaches fixation to +1 consensus. For &sigma;'(<i> t</i>) we prove that, if &rho;<sup>+</sup>>0 and &rho;<sup>&ndash; </sup> = 0, all vertices end up as fixed plus, while for &rho;<sup>+</sup> >0 and &rho;<sup>&ndash;</sup> very small (compared to &rho;<sup> +</sup>), the fixed minus and flippers together do not percolate.</p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:3665138
Date19 December 2014
CreatorsEckner, Sinziana Maria
PublisherNew York University
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

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