Dynamic renormalization-group analysis of the d+1 dimensionalKuramoto-Sivashinsky equation with both conservative and nonconservative noises |
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Authors: | L. Zhang G. Tang Z. Xun K. Han H. Chen B. Hu |
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Affiliation: | (1) Department of Physics, China University of Mining and Technology, Xuzhou, 221008, P.R. China;(2) Department of Physics, Centre for Nonlinear Studies, and The Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems. (Hong Kong), Hong Kong Baptist University, Kowloon Tong, Hong Kong, P.R. China;(3) Department of Physics, University of Houston, Houston, Texas 77204-5005, USA |
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Abstract: | ![]() The long-wavelength properties of the (d + 1)-dimensional Kuramoto-Sivashinsky (KS) equation with both conservative and nonconservative noises are investigated by use of the dynamic renormalization-group (DRG) theory. The dynamic exponent z and roughness exponent α are calculated for substrate dimensions d = 1 and d = 2, respectively. In the case of d = 1, we arrive at the critical exponents z = 1.5 and α = 0.5 , which are consistent with the results obtained by Ueno et al. in the discussion of the same noisy KS equation in 1+1 dimensions [Phys. Rev. E 71, 046138 (2005)] and are believed to be identical with the dynamic scaling of the Kardar-Parisi-Zhang (KPZ) in 1+1 dimensions. In the case of d = 2, we find a fixed point with the dynamic exponents z = 2.866 and α = -0.866 , which show that, as in the 1 + 1 dimensions situation, the existence of the conservative noise in 2 + 1 or higher dimensional KS equation can also lead to new fixed points with different dynamic scaling exponents. In addition, since a higher order approximation is adopted, our calculations in this paper have improved the results obtained previously by Cuerno and Lauritsen [Phys. Rev. E 52, 4853 (1995)] in the DRG analysis of the noisy KS equation, where the conservative noise is not taken into account. |
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Keywords: | PACS. 05.70.Ln Nonequilibrium and irreversible thermodynamics 05.40.-a Fluctuation phenomena, random processes, noise, and Brownian motion 68.35.Fx Diffusion interface formation |
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