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arXiv 1303.3196math.OA
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算子值自由可加卷积的解析从属理论及一般随机矩阵问题的求解

Analytic subordination theory of operator-valued free additive convolution and the solution of a general random matrix problem

Serban Belinschi, Tobias Mai, Roland Speicher

摘要:

本文利用从属函数建立了算子值可加自由卷积的解析理论。与以前的研究不同,我们的函数不仅由幂级数展开式给出,而且在所有算子的上半平面中定义为Frechet解析函数。此外,我们不必假设我们的状态是tracial的。结合这一新的分析理论的运营商价值的自由卷积与安德森的自伴版本的线性化技巧,我们能够提供一个解决方案,以下列一般随机矩阵问题:我们如何计算的渐近特征值分布的多项式评估独立随机矩阵与已知的渐近特征值分布?

英文摘要:

We develop an analytic theory of operator-valued additive free convolution in terms of subordination functions. In contrast to earlier investigations our functions are not just given by power series expansions, but are defined as Frechet analytic functions in all of the operator upper half plane. Furthermore, we do not have to assume that our state is tracial. Combining this new analytic theory of operator-valued free convolution with Anderson's selfadjoint version of the linearization trick we are able to provide a solution to the following general random matrix problem: How can we calculate the asymptotic eigenvalue distribution of a polynomial evaluated in independent random matrices with known asymptotic eigenvalue distributions?

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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