Multifractal properties of return time statistics
arXiv:nlin/0108050 · doi:10.1103/PhysRevLett.88.224502
Abstract
Fluctuations in the return time statistics of a dynamical system can be described by a new spectrum of dimensions. Comparison with the usual multifractal analysis of measures is presented, and difference between the two corresponding sets of dimensions is established. Theoretical analysis and numerical examples of dynamical systems in the class of Iterated Functions are presented.
4 pages, 3 figures
References in corpus (1)
Cited by in corpus (17)
- Recurrence Plots for the Analysis of Complex Systems
- Recurrence time analysis, long-term correlations, and extreme events
- Poincare recurrences and transient chaos in systems with leaks
- Recurrence Time Statistics for Finite Size Intervals
- Poincare recurrences from the perspective of transient chaos
- Kolmogorov-Sinai entropy from recurrence times
- Generalized dimensions, large deviations and the distribution of rare events
- The thermodynamic approach to multifractal analysis
- Return times for Stochastic processes with power-law scaling
- The recurrence time for ergodic systems of infinite measures
- Exponential distribution for the occurrence of rare patterns in Gibbsian random fields
- Analysis of fluctuations in the first return times of random walks on regular branched networks
- Extreme value laws for fractal intensity functions in dynamical systems: Minkowski analysis
- (Non)Invariance of dynamical quantities for orbit equivalent flows
- Follow the fugitive: an application of the method of images to open dynamical systems
- Volatilities analysis of first-passage time and first-return time on a small-world scale-free network
- Multifractals via recurrence times ?