Maximal stochastic transport in the Lorenz equations

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• 作者：Sahil Agarwal^a ; ^{sahil.agarwal@yale.edu" class="auth_mail" title="E-mail the corresponding author} ; J.S. Wettlaufer^a ; ^b ; ^c ; ^d ; ^{john.wettlaufer@yale.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Lorenz equations ; Rayleigh&ndash ; Bé ; nard convection ; Heat transport ; Stochastic dynamics ; Upper bounds
• 刊名：Physics Letters A
• 出版年：2016
• 出版时间：8 January 2016
• 年：2016
• 卷：380
• 期：1-2
• 页码：142-146
• 全文大小：515 K

文摘

We calculate the stochastic upper bounds for the Lorenz equations using an extension of the background method. In analogy with Rayleigh–Bénard convection the upper bounds are for heat transport versus Rayleigh number. As might be expected, the stochastic upper bounds are larger than the deterministic counterpart of Souza and Doering [1], but their variation with noise amplitude exhibits interesting behavior. Below the transition to chaotic dynamics the upper bounds increase monotonically with noise amplitude. However, in the chaotic regime this monotonicity depends on the number of realizations in the ensemble; at a particular Rayleigh number the bound may increase or decrease with noise amplitude. The origin of this behavior is the coupling between the noise and unstable periodic orbits, the degree of which depends on the degree to which the ensemble represents the ergodic set. This is confirmed by examining the close returns plots of the full solutions to the stochastic equations and the numerical convergence of the noise correlations. The numerical convergence of both the ensemble and time averages of the noise correlations is sufficiently slow that it is the limiting aspect of the realization of these bounds. Finally, we note that the full solutions of the stochastic equations demonstrate that the effect of noise is equivalent to the effect of chaos.