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arXiv 1202.3230math-phmath.APmath.MPmath.PR
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多维随机Burgers方程

Multidimensional stochastic Burgers equation

Zdzisław Brzeźniak, Ben Goldys, Misha Neklyudov

摘要:

本文考虑环面$\mathbb{T}^d$和全空间$\Rd$上的多维随机Burgers方程.在这两种情况下,我们证明了对于正粘性方程$ν>0$,对于$p>d$,在$L^p$中存在唯一的强整体解.在环面的情况下,我们还建立了一个统一的$ν$先验估计,并考虑潜在的解决方案的限制$ν\todown 0$。在$\Rd$关于$ν$一致的情况下,如果满足Beale-Kato-Majda型条件,则建立先验估计。

英文摘要:

We consider multidimensional stochastic Burgers equation on the torus $\mathbb{T}^d$ and the whole space $\Rd$. In both cases we show that for positive viscosity $ν>0$ there exists a unique strong global solution in $L^p$ for $p>d$. In the case of torus we also establish a uniform in $ν$ a priori estimate and consider a limit $ν\todown 0$ for potential solutions. In the case of $\Rd$ uniform with respect to $ν$ a priori estimate established if a Beale-Kato-Majda type condition is satisfied.

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