Survival Probability of a Gaussian Non-Markovian Process: Application to   the T=0 Dynamics of the Ising Model
  We study the decay of the probability for a non-Markovian stationary Gaussian walker not to cross the origin up to time $t$. This result is 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. 
Satya N. Majumdar (Yale U., USA) and Cl\'ement Sire (Un. Paul   Sabatier, CNRS Toulouse, France)