English

Scaling of local persistence in the disordered contact process

Statistical Mechanics 2020-07-03 v2 Disordered Systems and Neural Networks

Abstract

We study the time-dependence of the local persistence probability during a non-stationary time evolution in the disordered contact process in d=1,2d=1,2, and 33 dimensions. We present a method for calculating the persistence with the strong-disorder renormalization group (SDRG) technique, which we then apply in the critical point analytically for d=1d=1 and numerically for d=2,3d=2,3. According to the results, the average persistence decays at late times as an inverse power of the logarithm of time, with a universal, dimension-dependent generalized exponent. For d=1d=1, the distribution of sample-dependent local persistences is shown to be characterized by a universal limit distribution of effective persistence exponents. By a phenomenological approach of rare-region effects in the active phase, we obtain a non-universal algebraic decay of the average persistence for d=1d=1, and enhanced power laws for d>1d>1. As an exception, for randomly diluted lattices, the algebraic decay holds to be valid for d>1d>1, which is explained by the contribution of dangling ends. Results on the time-dependence of average persistence are confirmed by Monte Carlo simulations. We also prove the equivalence of the persistence with a return probability, a valuable tool for the argumentations.

Keywords

Cite

@article{arxiv.2003.10711,
  title  = {Scaling of local persistence in the disordered contact process},
  author = {Róbert Juhász and István A. Kovács},
  journal= {arXiv preprint arXiv:2003.10711},
  year   = {2020}
}

Comments

10 pages, 7 figures