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arXiv 2007.01842math.COmath.CT
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关联超图:盒积与拉普拉斯算子

Incidence Hypergraphs: Box Products & the Laplacian

Will Grilliette, Lucas J. Rusnak

AI总结:

本文刻画多类图与超图范畴的盒积及盒指数,通过关联对偶封闭推广修正不对称性,并将路径求值联系到有向超图无符号拉普拉斯矩阵半次幂。

摘要:

本文针对箭图(有向图)、多重图、集系统超图和关联超图等范畴,刻画了盒积及其相关的盒指数。结果表明,只有箭图情形下的盒指数能够完全通过其自身范畴内的 hom 来刻画。关联超图盒积中的一种不对称性,通过一种关联对偶封闭的推广得到纠正,该推广有效地将顶点和边分别视为复数的实部和虚部。这一新的超图盒积被证明可通过二部表示函子自然解释为图的典范盒积,并且其相关的盒指数被表示为完全处于关联超图范畴内的 hom;其中关联由关联棱柱映射确定。盒指数在路径上的取值被证明对应于有向超图无符号拉普拉斯矩阵半次幂中的元素。

英文摘要:

The box product and its associated box exponential are characterized for the categories of quivers (directed graphs), multigraphs, set system hypergraphs, and incidence hypergraphs. It is shown that only the quiver case of the box exponential can be characterized via homs entirely within their own category. An asymmetry in the incidence hypergraphic box product is rectified via an incidence dual-closed generalization that effectively treats vertices and edges as real and imaginary parts of a complex number, respectively. This new hypergraphic box product is shown to have a natural interpretation as the canonical box product for graphs via the bipartite representation functor, and its associated box exponential is represented as homs entirely in the category of incidence hypergraphs; with incidences determined by incidence-prism mapping. The evaluation of the box exponential at paths is shown to correspond to the entries in half-powers of the oriented hypergraphic signless Laplacian matrix.

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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