Issue |
EPL
Volume 100, Number 1, October 2012
|
|
---|---|---|
Article Number | 16004 | |
Number of page(s) | 6 | |
Section | Condensed Matter: Structural, Mechanical and Thermal Properties | |
DOI | https://doi.org/10.1209/0295-5075/100/16004 | |
Published online | 18 October 2012 |
Dynamics of radial fractional growing surfaces
1 Department of Physics, Alzahra University - P.O. Box 19938, Tehran 91167, Iran
2 Department of Applied Mathematics, University of Waterloo - Waterloo, ON, Canada N2L 3G1
3 Center for Mathematical Medicine, Fields Institute for Research in Mathematical Sciences Toronto, ON, Canada M5T 3J1
Received: 2 August 2012
Accepted: 17 September 2012
Fractional derivatives in the form of a Laplacian operator −(−∇2)ζ/2 appear in the stochastic differential equations of many physical systems. For a stochastically growing interface, the evolution of the height of the interface is usually written as the Langevin form of a fractional diffusion equation. This fractional Langevin equation has been recently generalized to radial geometries, and this has raised questions regarding the validity of the application of the standard scaling analysis to the study of radially growing interfaces. Here, we study the fractional Langevin equation in polar coordinate and calculate the correlation functions. We show that, for ζ > 1, the correlation increases as t1−(1/ζ) for small angles and in the long-time limit. This means that the interface width grows as t1/4 for ζ = 2 (radial Edwards-Wilkinson equation) and as t3/8 for ζ = 4 (radial Mullins-Herring equation). These results are the same as those obtained in the corresponding planar geometry. Finally, we obtain a logarithmic behavior with time for ζ ⩽ 1. In addition, we numerically solve the fractional stochastic equation and obtain the interface width for different values of ζ, arriving at results which confirm our analytical calculations.
PACS: 68.35.Ct – Interface structure and roughness / 05.40.-a – Fluctuation phenomena, random processes, noise, and Brownian motion / 02.60.Cb – Numerical simulation; solution of equations
© EPLA, 2012
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