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May 25, 2026Journal of Applied and Computational Topology0 citationsOpen Access

Flex complexes of graphs

DKDmitry N. Kozlov

Key Points

  • The research aims to explore the topology and combinatorial structure of flex complexes associated with graphs.
  • Constructed the cubical complex Flex(G) for arbitrary undirected simple graphs G.
  • Defined flexes as simultaneous edge orientation changes and studied their independent sets.
  • Proved topological theorems related to the homotopy equivalence to tori and provided enumeration formulas.
  • Demonstrated that the flex complex Flex(G) is homotopy equivalent to a disjoint union of tori.
  • Established that each connected component of Flex(G) is either collapsible or reduces to a cycle of length equal to the number of vertices in G.
  • Provided combinatorial enumerations for both types of connected components.

Abstract

Abstract In this paper, we study a new construction which associates a combinatorial cubical complex Flex (G) Flex (G) to an arbitrary undirected simple graph G. The vertices of Flex (G) Flex (G) are indexed by all possible orientations of the edges of G. The cells of Flex (G) Flex (G) are the sets of independent flexes, where a flex is a simultaneous change of orientations of the edges adjacent to a certain sink or a certain source in G. Accordingly, we call Flex (G) Flex (G) the flex complex of the graph G. Our focus is on studying topology and combinatorics of the flex complexes. The main topological theorem says that for an arbitrary graph G, the flex complex Flex (G) Flex (G) is homotopy equivalent to a disjoint union of tori. We also provide formulae for the number of these tori. Furthermore, we prove a much more precise combinatorial result saying that when G is connected, every connected component of Flex (G) Flex (G) is either a collapsible cubical complex, or can be collapsed to a cycle whose length is equal to the number of vertices of G. We shall provide a combinatorial enumeration for the components of both types. Our study is motivated by the beauty and naturality of the graph construction, as well as by the mathematical modeling of the network evolution.

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Cite This Study

Dmitry N. Kozlov (2026) studied this question.

synapsesocial.com/papers/6a13e7e80e02ee3982d32912https://doi.org/10.1007/s41468-026-00235-1
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