Using numerical simulations we show that the response to weak perturbations of a variable of Hamiltonian chaotic systems depends on the number of degrees of freedom: When this is small (approximate to 2) the response is not linear, in agreement with the well known objections to the Kubo linear response theory, while, for a larger number of degrees of freedom, the response becomes linear. This is due to the fact that increasing the number of degrees of freedom the shape of the distribution function, projected onto the subspace of the variable of interest, becomes fairly ''regular.'
Abstract: The first two moments of the steady-state response of a dynamical random system are determ...
The statistics of systems with good chaotic properties obey a formal fluctuation-response relation w...
25 pages, 16 figures, submitedIt has been rigorously shown in \cite{CMP} that the complex susceptibi...
This article discusses the linear response of Hamiltonian chaotic systems as a function of the numbe...
We study the response of a classical Hamiltonian system to a weak perturbation in the regime where t...
16International audienceWe consider simple examples illustrating some new features of the linear res...
Abstract Parametric derivatives of statistics are highly desired quantities in predicti...
The first two moments of the steady-state response of a dynamical random system are determined throu...
The first two moments of the steady-state response of a dynamical random system are determined throu...
Hamiltonian systems with two or more degrees of freedom are generally nonintegrable which usually i...
Hamiltonian systems with two or more degrees of freedom are generally nonintegrable which usually i...
Along the lines of the nonlinear response theory developed by Ruelle, in a previous paper we have pr...
Abstract. In the current work we demonstrate the principal possibility of pre-diction of the respons...
The paper provides a theoretical exploration of properties of systems described by equations of nonl...
Abstract We develop and test two novel computational approaches for predicting the mean linear respo...
Abstract: The first two moments of the steady-state response of a dynamical random system are determ...
The statistics of systems with good chaotic properties obey a formal fluctuation-response relation w...
25 pages, 16 figures, submitedIt has been rigorously shown in \cite{CMP} that the complex susceptibi...
This article discusses the linear response of Hamiltonian chaotic systems as a function of the numbe...
We study the response of a classical Hamiltonian system to a weak perturbation in the regime where t...
16International audienceWe consider simple examples illustrating some new features of the linear res...
Abstract Parametric derivatives of statistics are highly desired quantities in predicti...
The first two moments of the steady-state response of a dynamical random system are determined throu...
The first two moments of the steady-state response of a dynamical random system are determined throu...
Hamiltonian systems with two or more degrees of freedom are generally nonintegrable which usually i...
Hamiltonian systems with two or more degrees of freedom are generally nonintegrable which usually i...
Along the lines of the nonlinear response theory developed by Ruelle, in a previous paper we have pr...
Abstract. In the current work we demonstrate the principal possibility of pre-diction of the respons...
The paper provides a theoretical exploration of properties of systems described by equations of nonl...
Abstract We develop and test two novel computational approaches for predicting the mean linear respo...
Abstract: The first two moments of the steady-state response of a dynamical random system are determ...
The statistics of systems with good chaotic properties obey a formal fluctuation-response relation w...
25 pages, 16 figures, submitedIt has been rigorously shown in \cite{CMP} that the complex susceptibi...