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arXiv 1107.0477math.PR
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自由卷积密度间距离的一个不等式

An inequality for the distance between densities of free convolutions

V. Kargin

摘要:

本文研究了概率测度的自由可加卷积。证明了在一定条件下,若测度$μ_i$和$ν_i, i=1,2$在Lévy度量上彼此接近,且自由卷积$μ_1\boxplusμ_2$充分光滑,则$ν_1\boxplusν_2$是绝对连续的,且测度$ν_1\boxplusν_2$和$μ_1\boxplusμ_2$的密度彼此接近.特别地,分布$μ_1^{(n)}\rightarrow μ_1,$ $μ_2^{(n)}\rightarrowμ_2$的收敛意味着$μ_1^{(n)}\boxplusμ_2^{(n)}$的密度是针对所有足够大的$n$定义的,并且收敛到$μ_1\boxplusμ_2$的密度。提供了一些应用,包括:(i)一个新的证明的本地版本的自由中心极限定理,和(ii)新的本地极限定理的总和的自由投影,总和的$\boxplus$稳定的随机变量和特征值的总和的两个$N$ -由$N$随机矩阵。

英文摘要:

This paper contributes to the study of the free additive convolution of probability measures. It shows that under some conditions, if measures $μ_i$ and $ν_i, i=1,2$, are close to each other in terms of the Lévy metric and if the free convolution $μ_1\boxplusμ_2$ is sufficiently smooth, then $ν_1\boxplusν_2$ is absolutely continuous, and the densities of measures $ν_1\boxplusν_2$ and $μ_1\boxplusμ_2$ are close to each other. In particular, convergence in distribution $μ_1^{(n)}\rightarrow μ_1,$ $μ_2^{(n)}\rightarrowμ_2$ implies that the density of $μ_1^{(n)}\boxplusμ_2^{(n)}$ is defined for all sufficiently large $n$ and converges to the density of $μ_1\boxplusμ_2$. Some applications are provided, including: (i) a new proof of the local version of the free central limit theorem, and (ii) new local limit theorems for sums of free projections, for sums of $\boxplus$-stable random variables and for eigenvalues of a sum of two $N$-by-$N$ random matrices.

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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