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Free keywords:
NONEQUILIBRIUM STATISTICAL-MECHANICS; FLUCTUATION-DISSIPATION THEOREM;
LINEAR-RESPONSE; CLIMATE MODELS; PREDICTABILITY; EQUILIBRIUM;
PREDICTION; STATESDynamical systems; Statistical mechanics; Sub-grid scale
parametrization; Response theory;
Abstract:
We consider the problem of deriving approximate autonomous dynamics for a number of variables of a dynamical system, which are weakly coupled to the remaining variables. In a previous paper we have used the Ruelle response theory on such a weakly coupled system to construct a surrogate dynamics, such that the expectation value of any observable agrees, up to second order in the coupling strength, to its expectation evaluated on the full dynamics. We show here that such surrogate dynamics agree up to second order to an expansion of the Mori-Zwanzig projected dynamics. This implies that the parametrizations of unresolved processes suited for prediction and for the representation of long term statistical properties are closely related, if one takes into account, in addition to the widely adopted stochastic forcing, the often neglected memory effects.
