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arXiv 1409.0801math.AP
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随机均匀化修正方程的定量结果

Quantitative results on the corrector equation in stochastic homogenization

Antoine Gloria, Felix Otto

摘要:

我们得到了随机均匀化的线性椭圆型方程的最优估计的散度型的尺寸$d\ge 2$。在以前的工作中,我们研究了离散椭圆型方程在$\mathbb{Z}^d$上的模型问题。在假设谱隙估计概率成立的情况下,我们证明了在$d>2$维中存在一个固定的校正场,并且该校正场的能量密度表现为就空间平均值的方差而言具有有限的相关范围-后者以中心极限定理的速率衰减。在这篇文章中,我们扩展这些结果,和其他几个估计,连续线性椭圆型方程的情况下,其(不一定是对称的)系数字段满足连续版本的谱间隙估计。特别是,我们的结果涵盖了泊松随机包含的例子。

英文摘要:

We derive optimal estimates in stochastic homogenization of linear elliptic equations in divergence form in dimensions $d\ge 2$. In previous works we studied the model problem of a discrete elliptic equation on $\mathbb{Z}^d$. Under the assumption that a spectral gap estimate holds in probability, we proved that there exists a stationary corrector field in dimensions $d>2$ and that the energy density of that corrector behaves as if it had finite range of correlation in terms of the variance of spatial averages - the latter decays at the rate of the central limit theorem. In this article we extend these results, and several other estimates, to the case of a continuum linear elliptic equation whose (not necessarily symmetric) coefficient field satisfies a continuum version of the spectral gap estimate. In particular, our results cover the example of Poisson random inclusions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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