温加尔游戏

IF 1 2区 数学 Q1 MATHEMATICS
Colin Defant, Noah Kravitz, Nathan Williams
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引用次数: 0

摘要

让 L 是一个有限网格。受到昂格尔对著名的斜坡问题的解答的启发,我们将昂格尔移动定义为将元素 \(x\in L\) 发送到 \(\{x\}\cup T\) 的满足的操作,其中 T 是 x 所覆盖的元素集合的子集。我们引入以下昂格尔博弈。从 L 的顶元素开始,两位棋手--阿特尼斯(Atniss)和埃塔(Eeta)--轮流走非难的昂格尔棋;谁先走不成昂格尔棋,谁就输掉对局。阿特尼斯先下。我们首先证明,在 \(S_n\) 的弱阶中,Eeta 赢的主阶理想数是 \(O(0.95586^nn!)\)。然后,我们考虑了杨格中包括所有主阶理想的一大类区间,并描述了这一类区间中的 Eeta wins;我们推导出了关于矩形和 A 型根集合中阶理想的精确枚举结果。我们还表征并枚举了塔马里网格中属于埃塔胜的主阶理想。最后,我们以一些未决问题和对昂加博弈计算复杂性的简短讨论作结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Ungar Games

The Ungar Games

Let L be a finite lattice. Inspired by Ungar’s solution to the famous slopes problem, we define an Ungar move to be an operation that sends an element \(x\in L\) to the meet of \(\{x\}\cup T\), where T is a subset of the set of elements covered by x. We introduce the following Ungar game. Starting at the top element of L, two players—Atniss and Eeta—take turns making nontrivial Ungar moves; the first player who cannot do so loses the game. Atniss plays first. We say L is an Atniss win (respectively, Eeta win) if Atniss (respectively, Eeta) has a winning strategy in the Ungar game on L. We first prove that the number of principal order ideals in the weak order on \(S_n\) that are Eeta wins is \(O(0.95586^nn!)\). We then consider a broad class of intervals in Young’s lattice that includes all principal order ideals, and we characterize the Eeta wins in this class; we deduce precise enumerative results concerning order ideals in rectangles and type-A root posets. We also characterize and enumerate principal order ideals in Tamari lattices that are Eeta wins. Finally, we conclude with some open problems and a short discussion of the computational complexity of Ungar games.

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来源期刊
Combinatorica
Combinatorica 数学-数学
CiteScore
1.90
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: COMBINATORICA publishes research papers in English in a variety of areas of combinatorics and the theory of computing, with particular emphasis on general techniques and unifying principles. Typical but not exclusive topics covered by COMBINATORICA are - Combinatorial structures (graphs, hypergraphs, matroids, designs, permutation groups). - Combinatorial optimization. - Combinatorial aspects of geometry and number theory. - Algorithms in combinatorics and related fields. - Computational complexity theory. - Randomization and explicit construction in combinatorics and algorithms.
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