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

Nickolay Korabel, Eli Barkai

Research output: Contribution to journalArticlepeer-review

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 ρ̄(x) of these maps can be estimated using ρ̄ (x) = lim t→∞t1-1ρ(x; t), in agreement with earlier work of Thaler. Here λ(x; t) is the normalized 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 sub-exponential separation λ of nearby trajectories. For a particular map introduced by Thaler we use an analytical expression for the infinite invariant density to calculate λ exactly, which perfectly matches simulations without fitting. Misunderstanding which recently appeared in the literature is removed.

Original languageEnglish
Article numberP08010
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2013
Issue number8
DOIs
StatePublished - Aug 2013

Keywords

  • dynamical processes (theory)

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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