QuickSort: Improved right-tail asymptotics for the limiting distribution, and large deviations (Extended Abstract)

J. A. Fill, Wei-Chun Hung
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引用次数: 3

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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快速排序:极限分布和大偏差的改进右尾渐近(扩展摘要)
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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