English

Numerical estimate of infinite invariant densities: application to Pesin-type identity

Statistical Mechanics 2013-09-03 v1

Abstract

Weakly chaotic maps with unstable fixed points are investigated in the regime where the invariant density is non-normalizable. We propose that the infinite invariant density of these maps can be estimated using as the long time limit of t^(1-alpha) rho(x, t), in agreement with earlier work of Thaler. Here rho(x, t) is the normalizable density of particles. This definition uniquely determines the infinite density and is a valuable tool for numerical estimations. We use this density to estimate the subexponential separation lambda_alpha of nearby trajectories. For a particular map introduced by Thaler we use an analytical expression for the infinite invariant density to calculate lambda_alpha exactly, which perfectly matches simulations without fitting. Misunderstanding which recently appeared in the literature is removed.

Keywords

Cite

@article{arxiv.1308.3734,
  title  = {Numerical estimate of infinite invariant densities: application to Pesin-type identity},
  author = {Nickolay Korabel and Eli Barkai},
  journal= {arXiv preprint arXiv:1308.3734},
  year   = {2013}
}

Comments

16 pages, 9 figures