arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2602.04533math.CO
收藏

关于偏序集结构、计数及其应用的矩阵方法

A matrix approach to the structure, enumeration, and applications of partially ordered sets

Sungkyunkwan University (SKKU)(成均馆大学);Jeju National University(济州国立大学);Shanxi Normal University(山西师范大学)

Gi-Sang Cheon, Hong Joon Choi, Gukwon Kwon, Hojoon Lee, Yaling Wang

AI总结:

本文提出利用矩阵理论研究偏序集的结构、计数及应用,通过构造偏序集矩阵的主子矩阵,统一解决非同构偏序集和反链问题。

摘要:

我们提出了一种基于矩阵理论的方法,通过其关联表示研究和计数有限偏序集,称为偏序集矩阵。自然标记的偏序集被编码为布尔下三角矩阵,允许统一处理Birkhoff关于非同构偏序集的问题和Dedekind关于反链的问题。关键思想是系统地构造和索引偏序集矩阵作为二进制帕斯卡矩阵的主子矩阵,通过排列相似性和支配关系带来新的结构见解。这种方法为偏序集理论中的经典计数问题提供了一致的矩阵视角。

英文摘要:

We present a matrix-theoretic approach for studying and enumerating finite posets through their incidence representations, referred to as poset matrices. Naturally labelled posets are encoded as Boolean lower triangular matrices, allowing a unified treatment of Birkhoff problem on non-isomorphic posets and Dedekind problem on antichains. A key idea is a systematic construction and indexing of poset matrices as principal submatrices of the binary Pascal matrix, leading to new structural insights through permutation similarity and domination relations. This approach provides a consistent matrix-based perspective on classical enumeration problems in poset theory.

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。

↑