Diffusion Simulation via Green Function Evaluation

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Lin Sun, Shuaishuai Chen, Gang Wei
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引用次数: 0

Abstract

In the present paper, a scheme of path sampling is explored for stochastic diffusion processes. The core issue is the evaluation of the diffusion propagators (spatial–temporal Green functions) by solving the corresponding Kolmogorov forward equations with Dirac delta functions as initials. The technique can be further used in evaluating general functional of path integrals. The numerical experiments demonstrated that the simulation scheme based on this approach overwhelms the popular Euler scheme and Exact Algorithm in terms of accuracy and efficiency in fairly general settings. An example of likelihood inference for the diffusion driven Cox process is provided to show the scheme’s potential power in applications.

Abstract Image

通过绿色函数评估进行扩散模拟
本文探讨了随机扩散过程的路径采样方案。核心问题是以 Dirac delta 函数为初始,通过求解相应的 Kolmogorov 正向方程来评估扩散传播者(时空格林函数)。该技术可进一步用于评估路径积分的一般函数。数值实验表明,在相当普遍的情况下,基于这种方法的模拟方案在精确度和效率上都压倒了流行的欧拉方案和精确算法。我们还提供了一个扩散驱动考克斯过程的似然推理实例,以展示该方案在应用中的潜在能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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