SURFACE ROUGHNESS IN MOLECULAR BEAM EPITAXY

2001 ◽  
Vol 01 (02) ◽  
pp. 239-260 ◽  
Author(s):  
DIRK BLÖMKER ◽  
STANISLAUS MAIER-PAAPE ◽  
THOMAS WANNER

This paper discusses the roughness of surfaces described by nonlinear stochastic partial differential equations on bounded domains. Roughness is an important characteristic for processes arising in molecular beam epitaxy, and is usually described by the mean interface width of the surface, i.e. the expected value of the squared Lebesgue norm. By employing results on the mean interface width for linear stochastic partial differential equations perturbed by colored noise, which have been previously obtained, we describe the evolution of the surface roughness for two classes of nonlinear equations, asymptotically both for small and large times.

2011 ◽  
Vol 11 (02n03) ◽  
pp. 353-367 ◽  
Author(s):  
HONGBO FU ◽  
JINQIAO DUAN

Multiscale stochastic partial differential equations arise as models for various complex systems. An averaging principle for a class of stochastic partial differential equations with slow and fast time scales is established. Under suitable conditions, it is shown that the slow component converges to an effective dynamical system in the mean-square uniform sense.


Author(s):  
Vo V. Anh ◽  
Nikolai N. Leonenko ◽  
María D. Ruiz-Medina

AbstractThis paper derives the weak-sense Gaussian solution to a family of fractional-in-time and multifractional-in-space stochastic partial differential equations, driven by fractional-integrated-in-time spatiotemporal white noise. Some fundamental results on the theory of pseudodifferential operators of variable order, and on the Mittag-Leffler function are applied to obtain the temporal, spatial and spatiotemporal Hölder continuity, in the mean-square sense, of the derived solution.


Author(s):  
Shohei Nakajima

AbstractWe prove existence of solutions and its properties for a one-dimensional stochastic partial differential equations with fractional Laplacian and non-Lipschitz coefficients. The method of proof is eatablished by Kolmogorov’s continuity theorem and tightness arguments.


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