We mimic the deterministic chaos appearing in low dimensional systems in terms of a product of suitable random matrices by considering Markov trials. From the high order Markovian processes it is possible to obtain a good approximation for the Lyapunov exponent and the decay rate of the correlation functions.
Approximation of chaotic systems in terms of Markovian processes
F Cecconi;
1995
Abstract
We mimic the deterministic chaos appearing in low dimensional systems in terms of a product of suitable random matrices by considering Markov trials. From the high order Markovian processes it is possible to obtain a good approximation for the Lyapunov exponent and the decay rate of the correlation functions.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.