English

Non-Poisson Renewal Events and Memory

Data Analysis, Statistics and Probability 2017-10-18 v1 Chaotic Dynamics

Abstract

We study two different forms of fluctuation-dissipation processes generating anomalous relaxations to equilibrium of an initial out of equilibrium condition, the former being based on a stationary although very slow correlation function and the latter characterized by the occurrence of crucial events, namely, non-Poisson renewal events, incompatible with the stationary condition. Both forms of regression to equilibrium have the same non-exponential Mittag-Leffler structure. We analyze the single trajectories of the two processes by recording the time distances between two consecutive origin re-crossings and establishing the corresponding waiting time probability density function (PDF), ψ(t)\psi(t). In the former case, with no crucial events, ψ(t)\psi(t) is exponential and in the latter case, with crucial events, ψ(t)\psi(t) is an inverse power law PDF with a diverging first moment. We discuss the consequences that this result is expected to have for the correct interpretation of some anomalous relaxation processes.

Keywords

Cite

@article{arxiv.1707.01854,
  title  = {Non-Poisson Renewal Events and Memory},
  author = {Rohisha Tuladhar and Mauro Bologna and Paolo Grigolini},
  journal= {arXiv preprint arXiv:1707.01854},
  year   = {2017}
}

Comments

13 pages, 7 figures

R2 v1 2026-06-22T20:39:49.971Z