TY - JOUR
T1 - Numerical estimate of infinite invariant densities
T2 - Application to Pesin-type identity
AU - Korabel, Nickolay
AU - Barkai, Eli
PY - 2013/8
Y1 - 2013/8
N2 - 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.
AB - 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.
KW - dynamical processes (theory)
UR - http://www.scopus.com/inward/record.url?scp=84884140966&partnerID=8YFLogxK
U2 - 10.1088/1742-5468/2013/08/P08010
DO - 10.1088/1742-5468/2013/08/P08010
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SN - 1742-5468
VL - 2013
JO - Journal of Statistical Mechanics: Theory and Experiment
JF - Journal of Statistical Mechanics: Theory and Experiment
IS - 8
M1 - P08010
ER -