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arXiv 2510.00007math.NTmath.CO
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关于受限部分的图划分

On Graphical Partitions with Restricted Parts

Gilad Levy

AI总结:

研究受限图划分的概率,通过Durfee平方建立上界,并证明概率趋于零,结合Nash-Williams条件、乘法方法和Edgeworth展开。

摘要:

整数划分被称为图划分当且仅当其部分形成一个简单图的度序列。尽管无限制的图划分已被广泛研究,但当部分被限制到给定集合时,了解甚少。本文研究了一个均匀随机划分偶整数n,且受此类限制时,为图划分的概率。我们建立了这个概率的上界,仅以划分的Durfee平方来表达。此外,令$ p_g(n) $表示一个偶整数n的随机受限划分是图划分的概率,我们证明了$ p_g(n) $的下极限为0。进一步地,我们以n和对部分施加的限制来获得$ p_g(n) $衰减率的显式界。我们的方法运用了Nash-Williams图条件、乘法方法和Edgeworth展开。

英文摘要:

An integer partition of $n$ is called graphical if its parts form a degree sequence of a simple graph. While unrestricted graphical partitions have been extensively studied, much less is known when the parts are restricted to a prescribed set. In this work, we investigate the probability that a uniformly random partition of an even integer $n$, subject to such restrictions, is graphical. We establish an upper bound on this probability expressed solely in terms of the Durfee square of the partition. Additionally, we evaluate the most-probable size of the Durfee square, depending solely on $n$ and the restrictions on the parts. Thus, we establish typical bounds on the probability that such random partitions are graphical. Our approach employs the Nash-Williams graphical condition, the saddle-point method and Edgeworth expansions.

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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