Eigenfunction approach to the persistent random walk in two dimensions
Eigenfunction approach to the persistent random walk in two dimensions
复制标题
二维持续随机游走的特征函数方法
DOI:
10.1016/j.physa.2003.07.003
复制
发表时间:
2003
影响因子:
3.3
通讯作者:
Christian Bracher
中科院分区:
文献类型:
--
作者:
Christian Bracher
The Fourier–Bessel expansion of a function on a circular disc yields a simple series representation for the end-to-end probability distribution function w(R,φ) encountered in a planar persistent random walk, where the direction taken in a step depends on the relative orientation towards the preceding step. For all but the shortest walks, the proposed method provides a rapidly converging, numerically stable algorithm that is particularly useful for the precise study of intermediate-size chains that have not yet approached the diffusion limit.a