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Averaging and renormalization for the Korteveg-deVries-Burgers equation.

机译:Korteveg-deVries-Burgers方程的平均和重新归一化。

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We consider traveling wave solutions of the Korteveg-deVries-Burgers equation and set up an analogy between the spatial averaging of these traveling waves and real-space renormalization for Hamiltonian systems. The result is an effective equation that reproduces means of the unaveraged, highly oscillatory, solution. The averaging enhances the apparent diffusion, creating an "eddy" (or renormalized) diffusion coefficient; the relation between the eddy diffusion coefficient and the original diffusion coefficient is found numerically to be one of incomplete similarity, setting up an instance of Barenblatt's renormalization group. The results suggest a relation between self-similar solutions of differential equations on one hand and renormalization groups and optimal prediction algorithms on the other. An analogy with hydrodynamics is pointed out.
机译:我们考虑Korteveg-deVries-Burgers方程的行波解,并在这些行波的空间平均与汉密尔顿系统的实空间重归一化之间建立一个类比。结果是一个有效的方程,可以重现未平均,高度振荡的解的均值。平均会增强视在扩散,从而产生“涡旋”(或重新归一化)的扩散系数。数值上发现涡旋扩散系数与原始扩散系数之间的关系是不完全相似的,建立了Barenblatt重整化群的一个实例。结果表明,一方面微分方程的自相似解与另一方面的重归一化组以及最佳预测算法之间存在关系。指出了与流体动力学的类比。

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