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Article Dans Une Revue Communications in Mathematical Physics Année : 2019

Universality Results for Kinetically Constrained Spin Models in Two Dimensions

Résumé

Kinetically constrained models (KCM) are reversible interacting particle systems on Z d with continuous time Markov dynamics of Glauber type, which represent a natural stochastic (and non-monotone) counterpart of the family of cellular automata known as U-bootstrap percolation. KCM aslo display some of the peculiar features of the so-called " glassy dynamics " , and as such they are extensively used in the physics literature to model the liquid-glass transition, a major and longstanding open problem in condensed matter physics. We consider two-dimensional KCM with update rule U, and focus on proving uni-versality results for the mean infection time of the origin, in the same spirit as those recently established in the setting of U-bootstrap percolation. We first identify what we believe are the correct universality classes, which turn out to be different from those of U-bootstrap percolation. Then we prove universal upper bounds on the mean infection time within each class, which we conjecture to be sharp up to logarithmic corrections. In certain cases, including the well-known Duarte model, our conjecture has recently been confirmed in [31]. It turns out that for certain classes of update rules U, the infection time for the KCM diverges much faster then for the corresponding U-bootstrap process when the equilibrium density of infected sites goes to zero. This is due to the occurrence of energy barriers which determine the dominant behaviour for KCM, but which do not matter at all for the monotone bootstrap dynamics.
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Dates et versions

hal-01696412 , version 1 (30-01-2018)
hal-01696412 , version 2 (26-11-2018)

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Fabio Martinelli, Robert Morris, Cristina Toninelli. Universality Results for Kinetically Constrained Spin Models in Two Dimensions. Communications in Mathematical Physics, 2019, 369 (2), pp.761-809. ⟨10.1007/s00220-018-3280-z⟩. ⟨hal-01696412v2⟩
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