Multifractal properties of power-law time sequences; application to ricepiles
arXiv:cond-mat/9709079 · doi:10.1103/PhysRevE.56.5284
Abstract
We study the properties of time sequences extracted from a self-organized critical system, within the framework of the mathematical multifractal analysis. To this end, we propose a fixed-mass algorithm, well suited to deal with highly inhomogeneous one dimensional multifractal measures. We find that the fixed mass (dual) spectrum of generalized dimensions depends on both the system size L and the length N of the sequence considered, being however stable when these two parameters are kept fixed. A finite-size scaling relation is proposed, allowing us to define a renormalized spectrum, independent of size effects.We interpret our results as an evidence of extremely long-range correlations induced in the sequence by the criticality of the system
12 pages, RevTex, includes 9 PS figures, Phys. Rev. E (in press)
References in corpus (2)
Cited by in corpus (11)
- Multifractal analysis of financial markets
- Measure representation and multifractal analysis of complete genomes
- Multifractality in Time Series
- Multifractal characterisation of length sequences of coding and noncoding segments in a complete genome
- Aftershocks in Coherent-Noise Models
- A Fixed-Mass multifractal approach for unweighted complex networks
- Temporally disordered granular flow: A model of landslides
- Calculation of the transition matrix and of the occupation probabilities for the states of the Oslo sandpile model
- Scaling of avalanche queues in directed dissipative sandpiles
- Anomalous Transport in Conical Granular Piles
- Multifractal scaling of flux penetration in the Iron-based Superconductor Ba(FeCo)As