Survival Probability of a Gaussian Non-Markovian Process: Application to the T=0 Dynamics of the Ising Model
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Abstract
We study the decay of the probability for a non-Markovian stationary Gaussian walker not to cross the origin up to time $t$, using resummed perturbation theory and variational approach. These results are then used to evaluate the fraction of spins that do not flip up to time $t$ in the zero temperature Monte-Carlo spin flip dynamics of the Ising model. Our results are compared to extensive numerical simulations.
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- Stochastic Processes in Physics and ChemistryPhysics Today, 1983