论文标题
最佳驾驶和热力学长度的Riemannian几何形状及其应用于化学反应网络
Riemannian Geometry of Optimal Driving and Thermodynamic Length and its Application to Chemical Reaction Networks
论文作者
论文摘要
众所周知,具有最小耗散的内部驱动系统的轨迹在平衡状态空间上是一种测量。因此,状态空间配备了由自由能函数的Hessian给出的Riemannian度量,称为Fisher Information Metric。但是,迄今为止给出的派生要求系统和驾驶储层都处于局部均衡状态。在目前的工作中,我们重新修复了化学反应网络的框架,从而提高了其对非平衡情况的适用性。此外,由于我们的结果是没有限制性假设的,因此我们能够讨论以前看不到的现象。我们在化学浓度的空间上引入了合适的加权渔民信息指标,并表明它是由扩散驱动和任意扩散速率常数引起的耗散的。这使我们可以考虑开车远离平衡。作为主要结果,我们表明,当系统沿着歧管驱动时,稳态歧管的等距嵌入在浓度空间中会产生耗散的下限。我们为该结合和相应的测量学提供了分析表达,从而能够从驱动动力学和热力学中剖析贡献。最后,我们详细讨论了准三层稳态的应用。
It is known that the trajectory of an endoreversibly driven system with minimal dissipation is a geodesic on the equilibrium state space. Thereby, the state space is equipped with the Riemannian metric given by the Hessian of the free energy function, known as Fisher information metric. However, the derivations given until now require both the system and the driving reservoir to be in local equilibrium. In the present work, we rederive the framework for chemical reaction networks and thereby enhance its scope of applicability to the nonequilibrium situation. Moreover, because our results are derived without restrictive assumptions, we are able to discuss phenomena that could not been seen previously. We introduce a suitable weighted Fisher information metric on the space of chemical concentrations and show that it characterizes the dissipation caused by diffusive driving, with arbitrary diffusion rate constants. This allows us to consider driving far from equilibrium. As the main result, we show that the isometric embedding of a steady state manifold into the concentration space yields a lower bound for the dissipation when the system is driven along the manifold. We give an analytic expression for this bound and for the corresponding geodesic, and thereby are able to dissect the contributions from the driving kinetics and from thermodynamics. Finally, we discuss in detail the application to quasi-thermostatic steady states.