ORIGINAL RESEARCH article
Front. Comput. Neurosci.
This article is part of the Research TopicBridging Mathematics and Artificial Intelligence: Foundations, Theory, and ApplicationsView all articles
Simplex polynomial in complex networks and its applications to compute Euler characteristic
Provisionally accepted- 1Qinghai Normal University, Xining, China
- 2Shandong Technology and Business University, Yantai, China
- 3Qinghai Nationalities University, Xining, China
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In algebraic topology, a k -dimensional simplex is defined as a convex polytope consisting of k vertices. If spatial dimensionality is not considered, it corresponds to the complete graph with k vertices in graph theory. The alternating sum of the number of simplexes across dimensions yields a topological invariant known as the Euler characteristic, which has gained significant attention due to its widespread application in fields such as topology, homology theory, complex systems, and biology. The most common method for calculating the Euler characteristic is through simplicial decomposition and the Euler-Poincaré formula. In this paper, we introduce a new "subgraph" polynomial, termed the simplex polynomial, and explore some of its properties. Using those properties, we provide a new method for computing the Euler characteristic and prove the existence of the Euler characteristic as an arbitrary integer by constructing the corresponding simplicial complex structure. When Euler characteristic is 1, we determined a class of corresponding simplicial complex structure. Moreover, for three common network structures, we present the recurrence relations for their simplex polynomials and their corresponding Euler characteristics. Finally, at the end of this work, three basic questions are raised for the interested readers to study deeply.
Keywords: graph, Simplicial Complex, simplex polynomial, Euler characteristic, Chordal graph
Received: 14 Aug 2025; Accepted: 27 Oct 2025.
Copyright: © 2025 Wang, Fu, Deng, Chen and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yang Chen, chenyang2753@sdtbu.edu.cn
Haixing Zhao, h.x.zhao@163.com
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