Biosciences Division, Argonne National Laboratory, Argonne, Illinois 60439, USA.
J Chem Phys. 2011 Jan 21;134(3):034117. doi: 10.1063/1.3541152.
The nonequilibrium fluctuation theorems have paved the way for estimating equilibrium thermodynamic properties, such as free energy differences, using trajectories from driven nonequilibrium processes. While many statistical estimators may be derived from these identities, some are more efficient than others. It has recently been suggested that trajectories sampled using a particular time-dependent protocol for perturbing the Hamiltonian may be analyzed with another one. Choosing an analysis protocol based on the nonequilibrium density was empirically demonstrated to reduce the variance and bias of free energy estimates. Here, we present an alternate mathematical formalism for protocol postprocessing based on the Feynmac-Kac theorem. The estimator that results from this formalism is demonstrated on a few low-dimensional model systems. It is found to have reduced bias compared to both the standard form of Jarzynski's equality and the previous protocol postprocessing formalism.
非平衡涨落定理为使用驱动非平衡过程的轨迹来估计平衡热力学性质(如自由能差)铺平了道路。虽然可以从这些恒等式推导出许多统计估计量,但有些比其他的更有效。最近有人提出,使用特定的时变哈密顿量扰动协议采样的轨迹可以用另一种协议进行分析。基于非平衡密度选择分析协议被经验证明可以减少自由能估计的方差和偏差。在这里,我们提出了一种基于费曼-卡克定理的协议后处理的替代数学形式。从该形式得出的估计量在几个低维模型系统上进行了演示。与标准形式的 Jarzynski 等式和之前的协议后处理形式相比,发现它的偏差更小。