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arXiv 2201.05582math.PRmath-phmath.MP
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多重割测度的自由可加卷积的支集

The support of the free additive convolution of multi-cut measures

Philippe Moreillon, Kevin Schnelli

摘要:

我们考虑自由加法卷积$μ_α\boxplusμ_β$的两个概率测度$μ_α$和$μ_β$,分别支持$n_α$和$n_β$不相交的有界区间上的实数线,并推导出一个下界和一个上界是严格小于$2n_αn_β$,在其支持的连接组件的数量。对于自由可加卷积半群$\{μ^{\boxplus t}\,:\, t\ge 1\}$,我们也得到了相应的结果.在整个文件中,我们考虑的概率测度类的幂律行为在其支持的指数范围从$-1$到$1$的端点。我们的主要定理将Bao,Erdés和Schnelli [4]的一个结果推广到了多割集。

英文摘要:

We consider the free additive convolution $μ_α\boxplusμ_β$ of two probability measures $μ_α$ and $μ_β$, supported on respectively $n_α$ and $n_β$ disjoint bounded intervals on the real line, and derive a lower bound and an upper bound that is strictly smaller than $2n_αn_β$, on the number of connected components in its support. We also obtain the corresponding results for the free additive convolution semi-group $\{μ^{\boxplus t}\,:\, t\ge 1\}$. Throughout the paper, we consider classes of probability measures with power law behaviors at the endpoints of their supports with exponents ranging from $-1$ to $1$. Our main theorem generalizes a result of Bao, Erdős and Schnelli~[4] to the multi-cut setup.

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