Effect of initial conditions on mixing for the Ising Model

Effect of initial conditions on mixing for the Ising Model

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Eyal Lubetzky, NYU
Fine Hall 214

Recently, the ``information percolation'' framework was introduced as a way to obtain sharp estimates on mixing for the high temperature Ising model, and in particular, to establish cutoff in three dimensions up to criticality from a worst starting state. I will describe how this method can be used to understand the effect of different initial states on the mixing time, both random (''warm start'') and deterministic. Joint work with Allan Sly.