1998
DOI: 10.1063/1.166321
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Remark on the (non)convergence of ensemble densities in dynamical systems

Abstract: We consider a dynamical system with state space M, a smooth, compact subset of some R(n), and evolution given by T(t), x(t)=T(t)x, x in M; T(t) is invertible and the time t may be discrete, t in Z, T(t)=T(t), or continuous, t in R. Here we show that starting with a continuous positive initial probability density rho(x,0)>0, with respect to dx, the smooth volume measure induced on M by Lebesgue measure on R(n), the expectation value of logrho(x,t), with respect to any stationary (i.e., time invariant) measure n… Show more

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Cited by 9 publications
(12 citation statements)
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“…Goldstein et al [1] showed that the entropy functional m(log q) increases linearly in time. Herein m = m(dx) is the invariant measure with respect to the volume measure dx and q is the continuous probability density for the given system.…”
Section: Information On Invariant Setsmentioning
confidence: 99%
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“…Goldstein et al [1] showed that the entropy functional m(log q) increases linearly in time. Herein m = m(dx) is the invariant measure with respect to the volume measure dx and q is the continuous probability density for the given system.…”
Section: Information On Invariant Setsmentioning
confidence: 99%
“…If the flow is expressed as an ordinary equation system dx/dt = v (v: smooth and differentiable), then the increasing rate K of the functional can be expressed as k = m(À$ AE v), i.e. phase space volume contraction rate [1].…”
Section: Information On Invariant Setsmentioning
confidence: 99%
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