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arXiv 0905.4737math.NAcs.NA
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哈密顿动力学的隐式质量矩阵惩罚及其在刚性系统精确采样中的应用

Implicit Mass-Matrix Penalization of Hamiltonian dynamics with application to exact sampling of stiff systems

University of Tennessee, Knoxville(田纳西大学诺克斯维尔分校);Oak Ridge National Laboratory(橡树岭国家实验室);INRIA Lille Nord-Europe(法国国家信息与自动化研究所里尔北部分支)

Petr Plechac, Mathias Rousset

AI总结:

提出隐式质量矩阵惩罚(IMMP)方法,通过扩展哈密顿动力学引入人工约束,实现多时间尺度系统中选定自由度的时标可调,并保持正则平衡分布,从而得到无偏采样算法。

摘要:

提出了一种哈密顿动力学的隐式质量矩阵惩罚(IMMP)方法,并针对多时间尺度系统分析了相关的动力学积分器以及蒙特卡洛采样方案。该惩罚基于一个扩展的哈密顿量,其中包含与某些选定自由度相关的人工约束。惩罚参数能够任意调整选定自由度的时间尺度。IMMP动力学被证明是精确哈密顿动力学与刚性约束动力学之间的插值。这一性质在相应的数值积分器中转化为稳定性和动力学修改之间的可调权衡。此外,随着时间步长消失的惩罚可以产生精确动力学的二阶收敛格式。通过构造,所得动力学在位置变量上保持正则平衡分布,直到一个可计算的几何修正势,从而得到类似Metropolis的无偏采样算法。这些算法可以通过对标准几何积分器进行简单修改来实现,对选定的自由度施加代数约束,并且在实施约束和力评估方面没有额外的复杂性。IMMP方法的性质在$N$-烷烃模型上进行了数值验证,表明积分器的时间步长稳定区域和采样效率可以增加,且增益随系统规模增大而增大。这一特征在谐振子链模型上进行了数学分析。当引入大刚度参数时,IMMP方法被证明是渐近稳定的,并收敛于慢流形上启发式预期的马尔可夫有效动力学。

英文摘要:

An implicit mass-matrix penalization (IMMP) of Hamiltonian dynamics is proposed, and associated dynamical integrators, as well as sampling Monte-Carlo schemes, are analyzed for systems with multiple time scales. The penalization is based on an extended Hamiltonian with artificial constraints associated with some selected DOFs. The penalty parameters enable arbitrary tuning of timescales for the selected DOFs. The IMMP dynamics is shown to be an interpolation between the exact Hamiltonian dynamics and the dynamics with rigid constraints. This property translates in the associated numerical integrator into a tunable trade-off between stability and dynamical modification. Moreover, a penalty that vanishes with the time-step yields order two convergent schemes for the exact dynamics. Moreover, by construction, the resulting dynamics preserves the canonical equilibrium distribution in position variables, up to a computable geometric correcting potential, leading to Metropolis-like unbiased sampling algorithms. The algorithms can be implemented with a simple modification of standard geometric integrators with algebraic constraints imposed on the selected DOFs, and has no additional complexity in terms of enforcing the constraints and force evaluations. The properties of the IMMP method are demonstrated numerically on the $N$-alkane model, showing that the time-step stability region of integrators and the sampling efficiency can be increased with a gain that grows with the size of the system. This feature is mathematically analyzed for a harmonic atomic chain model. When a large stiffness parameter is introduced, the IMMP method is shown to be asymptotically stable and to converge towards the heuristically expected Markovian effective dynamics on the slow manifold.

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