r-Euler-Mahonian statistics on permutations

IF 0.9 2区 数学 Q2 MATHEMATICS
Shao-Hua Liu
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引用次数: 0

Abstract

Let rdes and rexc denote the permutation statistics r-descent number and r-excedance number, respectively. We prove that the pairs of permutation statistics (rdes,rmaj) and (rexc,rden) are equidistributed, where rmaj denotes the r-major index defined by Don Rawlings and rden denotes the r-Denert's statistic defined by Guo-Niu Han. When r=1, this result reduces to the equidistribution of (des,maj) and (exc,den), which was conjectured by Denert in 1990 and proved that same year by Foata and Zeilberger. We call a pair of permutation statistics that is equidistributed with (rdes,rmaj) and (rexc,rden) an r-Euler-Mahonian statistic, which reduces to the classical Euler-Mahonian statistic when r=1.

We then introduce the notions of r-level descent number, r-level excedance number, r-level major index, and r-level Denert's statistic, denoted by desr,excr,majr, and denr, respectively. We prove that (desr,majr) is r-Euler-Mahonian and conjecture that (excr,denr) is r-Euler-Mahonian. Furthermore, we give an extension of the above result and conjecture.

关于排列的r-Euler-Mahonian统计
让 rdes 和 rexc 分别表示置换统计的 r 后裔数和 r 前裔数。我们证明成对的置换统计量 (rdes,rmaj) 和 (rexc,rden) 是等分布的,其中 rmaj 表示 Don Rawlings 定义的 r Major 指数,rden 表示 Guo-Niu Han 定义的 r-Denert 统计量。当 r=1 时,这一结果简化为(des,maj)和(exc,den)的等分布,这是 Denert 在 1990 年提出的猜想,同年由 Foata 和 Zeilberger 证明。我们称一对与(rdes,rmaj)和(rexc,rden)等分布的置换统计量为r-Euler-Mahonian统计量,当r=1时,它简化为经典的Euler-Mahonian统计量。然后,我们引入r级下降数、r级切除数、r级主要指数和r级Denert统计量的概念,分别用desr,excr,majr和denr表示。我们证明(desr,majr)是r-Euler-Mahonian,并猜想(excr,denr)是r-Euler-Mahonian。此外,我们还给出了上述结果和猜想的扩展。
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来源期刊
CiteScore
2.90
自引率
9.10%
发文量
94
审稿时长
12 months
期刊介绍: The Journal of Combinatorial Theory publishes original mathematical research concerned with theoretical and physical aspects of the study of finite and discrete structures in all branches of science. Series A is concerned primarily with structures, designs, and applications of combinatorics and is a valuable tool for mathematicians and computer scientists.
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