Skewness in (1+1)-dimensional Kardar-Parisi-Zhang-type growth
Statistical Mechanics
2015-05-13 v2
Abstract
We use the -dimensional Kardar-Parisi-Zhang equation driven by a Gaussian white noise and employ the dynamic renormalization-group of Yakhot and Orszag without rescaling [J.~Sci.\ Comput.~{\bf 1}, 3 (1986)]. Hence we calculate the second and third order moments of height distribution using the diagrammatic method in the large scale and long time limits. The moments so calculated lead to the value for the skewness. This value is comparable with numerical and experimental estimates.
Keywords
Cite
@article{arxiv.1505.01976,
title = {Skewness in (1+1)-dimensional Kardar-Parisi-Zhang-type growth},
author = {Tapas Singha and Malay K. Nandy},
journal= {arXiv preprint arXiv:1505.01976},
year = {2015}
}
Comments
3 figures, version published in Phys. Rev. E