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arXiv 1802.01271cond-mat.stat-mechcs.SYeess.SYmath.OC
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随机控制与非平衡热力学:基本限制

Stochastic control and non-equilibrium thermodynamics: fundamental limits

Iowa State University(爱荷华州立大学);Stony Brook University(石溪大学)

Yongxin Chen, Tryphon Georgiou, Allen Tannenbaum

AI总结:

研究在受控二次势能下的阻尼随机系统在有限时间内从指定的吉布斯平衡态过渡的限制,通过热力学第二定律,最小工作量等于两态的赫尔曼自由能差,且只能通过可逆过程实现。

摘要:

我们考虑在受控(时间变化)二次势能下的阻尼随机系统,并研究其在有限时间内从指定的吉布斯平衡态过渡。根据热力学第二定律,从一个平衡态到另一个平衡态所需的最小工作量等于两态的赫尔曼自由能差,并只能通过可逆(无限慢)过程实现。最小工作量与可逆过程工作量之间的差距平方等于两个端点分布之间的最优质传输(Wasserstein-2)距离的平方乘以过渡所需时间的倒数。这一结果实际上将非平衡最优控制策略(协议)与熵函数的梯度流通过乔丹-金德勒-奥托方案联系起来。本文的目的在于将随机热力学中的新思想和结果引入经典调节理论的框架中,并从多变量角度建立联系和推导此类基本关系。

英文摘要:

We consider damped stochastic systems in a controlled (time-varying) quadratic potential and study their transition between specified Gibbs-equilibria states in finite time. By the second law of thermodynamics, the minimum amount of work needed to transition from one equilibrium state to another is the difference between the Helmholtz free energy of the two states and can only be achieved by a reversible (infinitely slow) process. The minimal gap between the work needed in a finite-time transition and the work during a reversible one, turns out to equal the square of the optimal mass transport (Wasserstein-2) distance between the two end-point distributions times the inverse of the duration needed for the transition. This result, in fact, relates non-equilibrium optimal control strategies (protocols) to gradient flows of entropy functionals via and the Jordan-Kinderlehrer-Otto scheme. The purpose of this paper is to introduce ideas and results from the emerging field of stochastic thermodynamics in the setting of classical regulator theory, and to draw connections and derive such fundamental relations from a control perspective in a multivariable setting.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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