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Making Birth–Death Processes from Backward Fokker–Planck Equations for Computing Expectations in Langevin Systems
A method to direct evaluation of expectations for Langevin systems (stochastic differential equations) is proposed. The method is based on a birth–death process which is derived using combinations of dummy variables and Itô formula. As a pedagogical example, a double-well system and expectations for...
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Published in: | Journal of the Physical Society of Japan 2020-04, Vol.89 (4), p.44004 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | A method to direct evaluation of expectations for Langevin systems (stochastic differential equations) is proposed. The method is based on a birth–death process which is derived using combinations of dummy variables and Itô formula. As a pedagogical example, a double-well system and expectations for sigmoid-type functions are used. It is shown that the proposed method has some merits from computational point of view; only one time-integration for the birth–death process gives expectations for various initial conditions in the original Langevin systems. Furthermore, the same time-integration result is available for computing various center positions of the sigmoid-type functions. |
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ISSN: | 0031-9015 1347-4073 |
DOI: | 10.7566/JPSJ.89.044004 |