Brownian functionals in physics and computer science

被引:0
|
作者
Majumdar, SN [1 ]
机构
[1] Univ Paris 11, Lab Phys Theor & Modeles Stat, F-91405 Orsay, France
来源
CURRENT SCIENCE | 2005年 / 89卷 / 12期
关键词
Brownian motion; first-passage probability; path-integral;
D O I
暂无
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This is a brief review on Brownian functionals in one dimension and their various applications. After a brief description of Einstein's original derivation of the diffusion equation, this article provides a pedagogical introduction to the path integral methods leading to the derivation of the celebrated Feynman-Kac formula. The usefulness of this technique in calculating the statistical properties of Brownian functionals; is illustrated with several examples in physics and probability theory, with particular emphasis on applications in computer science. The statistical properties of 'first-passage Brownian functionals' and their applications are also discussed.
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页码:2076 / 2092
页数:17
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