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北美退伍军人节(Veterans Day),12 日无更新
arXiv 1406.6590math.PRmath.MG
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关于B.托特

On the diminishing process of B. Tóth

Péter Kevei, Viktor Vígh

摘要:

令$K$和$K_0$是$\mathbb{R}^d$中的凸体,使得$K$包含原点,并定义过程$(K_n, p_n)$,$n \geq 0$如下:令$p_{n+1}$是$K_n$中的均匀随机点,并设置$K_{n+1} = K_n \cap (p_{n+1} + K)$。显然,$(K_n)$是一个凸体的嵌套序列,它收敛到一个非空的极限对象,也是$\mathbb{R}^d$中的凸体。我们研究这个过程中,$K$是一个规则的单纯形,立方体,或规则的凸多边形与奇数个顶点。对于一维非均匀分布,我们也得到了一些新的结果。

英文摘要:

Let $K$ and $K_0$ be convex bodies in $\mathbb{R}^d$, such that $K$ contains the origin, and define the process $(K_n, p_n)$, $n \geq 0$, as follows: let $p_{n+1}$ be a uniform random point in $K_n$, and set $K_{n+1} = K_n \cap (p_{n+1} + K)$. Clearly, $(K_n)$ is a nested sequence of convex bodies which converge to a non-empty limit object, again a convex body in $\mathbb{R}^d$. We study this process for $K$ being a regular simplex, a cube, or a regular convex polygon with an odd number of vertices. We also derive some new results in one dimension for non-uniform 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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