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arXiv 2302.06003cond-mat.stat-mechphysics.class-ph
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布朗热捷径的最优时间–熵界与速度极限

Optimal time-entropy bounds and speed limits for Brownian thermal shortcuts

Luís Barbosa Pires, Rémi Goerlich, Arthur Luna da Fonseca, Maxime Debiossac, Paul-Antoine Hervieux, Giovanni Manfredi, Cyriaque Genet

AI总结:

本文通过实时调控光镊微球辐射压力方差设计温度协议,推导有限时间热转移的最优时间–熵权衡与速度极限,为介观有限时间热力学循环及信息几何研究提供基础。

摘要:

通过实时控制施加于光镊微球上的辐射压力方差,我们设计了温度协议,在将微球从一个热平衡态转移到另一个热平衡态时缩短热弛豫过程。我们确定了此类加速转移的熵足迹,并推导了最优温度协议:这些协议要么在给定转移持续时间下使熵产生最小化,要么在给定熵代价下尽可能加快转移。对这一权衡的优化给出了时间–熵界,从而为热化方案设定速度极限。我们进一步展示了优化如何将加速布朗热化的可能性扩展至其基本极限。该方法为在介观尺度设计优化的有限时间热力学循环铺平了道路,也为研究信息几何与有限时间过程之间的根本联系提供了平台。

英文摘要:

By controlling in real-time the variance of the radiation pressure exerted on an optically trapped microsphere, we engineer temperature protocols that shortcut thermal relaxation when transferring the microsphere from one thermal equilibrium state to an other. We identify the entropic footprint of such accelerated transfers and derive optimal temperature protocols that either minimize the production of entropy for a given transfer duration or accelerate as much as possible the transfer for a given entropic cost. Optimizing the trade-off yields time-entropy bounds that put speed limits on thermalization schemes. We further show how optimization expands the possibilities for accelerating Brownian thermalization down to its fundamental limits. Our approach paves the way for the design of optimized, finite-time thermodynamic cycles at the mesoscale. It also offers a platform for investigating fundamental connections between information geometry and finite-time processes.

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