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On the generalized Langevin equation and the Mori projection operator technique (2503.20457v3)

Published 26 Mar 2025 in math-ph, cond-mat.stat-mech, and math.MP

Abstract: In statistical physics, the Mori-Zwanzig projection operator formalism (also called Nakajima-Zwanzig projection operator formalism) is used to derive a linear integro-differential equation for observables in Hilbert space, the generalized Langevin equation (GLE). This technique relies on the splitting of the dynamics into a projected and an orthogonal part. We prove that the GLE together with the second fluctuation dissipation theorem (2FDT) uniquely define the fluctuating forces as well as the memory kernel. The GLE and 2FDT are an immediate consequence of the existence and uniqueness of solutions of linear Volterra equations. They neither rely on the Dyson identity nor on the concept of orthogonal dynamics. This holds true for autonomous as well as non-autonomous systems. Further results are obtained for the Mori projection for autonomous systems, for which the fluctuating forces are orthogonal to the observable of interest. In particular, we prove that the orthogonal dynamics is a strongly continuous semigroup generated by $\overline{\mathcal{QL}}Q$, where $\mathcal{L}$ is the generator of the time evolution operator, and $\mathcal{P}=1-\mathcal{Q}$ is the Mori projection operator. As a consequence, the corresponding orbit maps (e.g. the fluctuating forces) are the unique mild solutions of the associated abstract Cauchy problem. Furthermore, we show that the orthogonal dynamics is a unitary group, if $\mathcal{L}$ is skew-adjoint. In this case, the fluctuating forces are stationary. In addition, we present a proof of the GLE by means of semigroup theory, and we retrieve the commonly used definitions for the fluctuating forces, memory kernel, and orthogonal dynamics. Our results apply to general autonomous dynamical systems, whose time evolution is given by a strongly continuous semigroup. This includes large classes of systems in classical statistical mechanics.

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