We present here a general iterative formula which gives a (formal) series expansion for the time autocorrelation of smooth dynamical variables, for all Hamiltonian systems endowed with an invariant measure. We add some criteria, theoretical in nature, which enable one to decide whether the decay of the correlations is exponentially fast or not. One of these criteria is implemented numerically for the case of the Fermi-Pasta-Ulam system, and we find indications which might suggest a sub-exponential decay of the time autocorrelation of a relevant dynamical variable
The classical analysis of stationary time series is based on the study of autocovariances and spectr...
The classical analysis of stationary time series is based on the study of autocovariances and spectr...
Long-term temporal correlations observed in event sequences of natural and social phenomena have bee...
A new expansion method to obtain time correlation functions and large deviation sta-tistical charact...
On the basis of the dynamics-of-correlations approach to the solution of the Liouville-von Neumann e...
While the decay of correlations in dynamical systems has been discussed in the physics and mathemati...
The essential decorrelation rate of a hyperbolic dynamical system is the decay rate of time-correlat...
We investigate the decay of temporal correlations in phase ordering dynamics by obtaining bounds on ...
The equation of motion of the auto-correlation function has been solved analytically using a hyperbo...
For low-dimensional chaotic systems, we find that time correlation functions can be accurately appro...
In this paper we employ methods from statistical mechanics to model temporal correlations in time se...
The classical analysis of stationary time series is based on the study of autocovariances and spectr...
The classical analysis of stationary time series is based on the study of autocovariances and spectr...
International audienceWe extend a result of Doney [Probab. Theory Related Fields 107 (1997)] on rene...
In this paper we apply the theory of irreversible processes, as developed by Prigogine and co-worker...
The classical analysis of stationary time series is based on the study of autocovariances and spectr...
The classical analysis of stationary time series is based on the study of autocovariances and spectr...
Long-term temporal correlations observed in event sequences of natural and social phenomena have bee...
A new expansion method to obtain time correlation functions and large deviation sta-tistical charact...
On the basis of the dynamics-of-correlations approach to the solution of the Liouville-von Neumann e...
While the decay of correlations in dynamical systems has been discussed in the physics and mathemati...
The essential decorrelation rate of a hyperbolic dynamical system is the decay rate of time-correlat...
We investigate the decay of temporal correlations in phase ordering dynamics by obtaining bounds on ...
The equation of motion of the auto-correlation function has been solved analytically using a hyperbo...
For low-dimensional chaotic systems, we find that time correlation functions can be accurately appro...
In this paper we employ methods from statistical mechanics to model temporal correlations in time se...
The classical analysis of stationary time series is based on the study of autocovariances and spectr...
The classical analysis of stationary time series is based on the study of autocovariances and spectr...
International audienceWe extend a result of Doney [Probab. Theory Related Fields 107 (1997)] on rene...
In this paper we apply the theory of irreversible processes, as developed by Prigogine and co-worker...
The classical analysis of stationary time series is based on the study of autocovariances and spectr...
The classical analysis of stationary time series is based on the study of autocovariances and spectr...
Long-term temporal correlations observed in event sequences of natural and social phenomena have bee...