In this study, we show that discrete Ito equations with short-tail Gaussian marginal distribution function generate multifractal time series. The multifractality is due to the nonlinear correlations, which are hidden in Markov processes and are generated by the interrelation between the drift and the multiplicative stochastic forces in the Ito equation. A link between the range of the generalized Hurst exponents and the mean of the squares of all averaged net forces is suggested. (C) 2015 AIP Publishing LLC.

Multifractal analysis of time series generated by discrete Ito equations

Telesca Luciano a;
2015

Abstract

In this study, we show that discrete Ito equations with short-tail Gaussian marginal distribution function generate multifractal time series. The multifractality is due to the nonlinear correlations, which are hidden in Markov processes and are generated by the interrelation between the drift and the multiplicative stochastic forces in the Ito equation. A link between the range of the generalized Hurst exponents and the mean of the squares of all averaged net forces is suggested. (C) 2015 AIP Publishing LLC.
2015
Istituto di Metodologie per l'Analisi Ambientale - IMAA
GEOELECTRICAL SIGNALS
TURBULENT CASCADE
SYSTEMS
MODEL
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/289629
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