Scattering Techniques Applied to Supramolecular and Nonequilibrium Systems 1981
DOI: 10.1007/978-1-4684-4061-4_26
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Models of Stochastic Behavior in Non-Equilibrium Steady States

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Cited by 9 publications
(10 citation statements)
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“…The linear model of Onsager and Machlup serves as a template for constructing and studying other models of fluctuation dynamics, including models of nonequilibrium steady states (see, e.g., [133,257,258]), and for ultimately building a general theory of nonequilibrium processes (see, e.g., [16,95,122,223,227,252]). In going beyond this model, one may replace the linear force b(m) = −am by nonlinear forces, consider noise processes with a non-zero mean or noise processes that are correlated in time, in addition to studying several (possibly coupled) macrostates rather than just one as we did in the previous example.…”
Section: B Phenomenological Models Of Fluctuationsmentioning
confidence: 99%
“…The linear model of Onsager and Machlup serves as a template for constructing and studying other models of fluctuation dynamics, including models of nonequilibrium steady states (see, e.g., [133,257,258]), and for ultimately building a general theory of nonequilibrium processes (see, e.g., [16,95,122,223,227,252]). In going beyond this model, one may replace the linear force b(m) = −am by nonlinear forces, consider noise processes with a non-zero mean or noise processes that are correlated in time, in addition to studying several (possibly coupled) macrostates rather than just one as we did in the previous example.…”
Section: B Phenomenological Models Of Fluctuationsmentioning
confidence: 99%
“…An interesting example is the Bénard system, in which the particle flux is replaced by a heat flux maintained by reservoirs at different temperatures, with the hotter reservoir below the system, and the typical patterns change abruptly from uniform to rolls to hexagonal cells as the fluid is driven away from equilibrium [10]. Open systems of this type have been discussed extensively in the literature from both a microscopic and macroscopic point of view; see [11,12] and references therein.…”
Section: Introductionmentioning
confidence: 99%
“…The deviations of macroscopic systems from typical behavior, e.g., from the profileρ(x,t) governed by the diffusion equation, is a central issue of statistical mechanics [5,6,7,8,11,12]. The time dependent problem was first studied by Onsager and Machlup [25], who considered space-time fluctuations for Hamiltonian systems in equilibrium (for whichρ is constant).…”
Section: Introductionmentioning
confidence: 99%
“…where P(n) = ZN P(n,N) and P ( N ) = 2, P(n,N). Doing this, we find P ( n ) = k(n -l ) ( N l n -1 ) + k ( n + l)NoP(n + 1) -k ( n + 1 ) ( N J n + 1) + k3(n + 1)P(n + 1 ) -knNoP(n) -k3nP(n) (4) and P ( N ) = k ( N + l ) ( n l N + 1)…”
Section: Loss Processesmentioning
confidence: 92%