快速排序:极限分布和大偏差的改进右尾渐近(扩展摘要)

J. A. Fill, Wei-Chun Hung
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引用次数: 3

摘要

我们对Svante Janson(2015)在极限快速排序分布函数$F$的右尾部以及Fill and Hung(2018)在相应密度$F$的右尾部以及每阶$F$的绝对导数的右尾部所产生的渐近对数上界进行了实质性的改进。例如,我们建立了$\log[1 - F(x)]$的上界,该上界通过$(\log x)^2$的阶项匹配Knessl和Szpankowski(1999)的猜想渐近性;Janson(2015)绑定的相应顺序是先导顺序,$x \log x$。使用F$上的精炼渐近界,我们得到了快速排序所需的比较次数分布的右尾大偏差(LD)结果,该结果大大提高了McDiarmid和Hayward(1996)的双边LD结果。
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QuickSort: Improved right-tail asymptotics for the limiting distribution, and large deviations (Extended Abstract)
We substantially refine asymptotic logarithmic upper bounds produced by Svante Janson (2015) on the right tail of the limiting QuickSort distribution function $F$ and by Fill and Hung (2018) on the right tails of the corresponding density $f$ and of the absolute derivatives of $f$ of each order. For example, we establish an upper bound on $\log[1 - F(x)]$ that matches conjectured asymptotics of Knessl and Szpankowski (1999) through terms of order $(\log x)^2$; the corresponding order for the Janson (2015) bound is the lead order, $x \log x$. Using the refined asymptotic bounds on $F$, we derive right-tail large deviation (LD) results for the distribution of the number of comparisons required by QuickSort that substantially sharpen the two-sided LD results of McDiarmid and Hayward (1996).
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