On the Complexity of Recognizing Nerves of Convex Sets

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DOI:

https://doi.org/10.57717/cgt.v3i2.40

Abstract

We study the problem of recognizing whether a given abstract simplicial complex K is the k-skeleton of the nerve of j-dimensional convex sets in Rd. We denote this problem by R(k, j, d). As a main contribution, we unify the results of many previous works under this framework and show that many of these works in fact imply stronger results than explicitly stated. This allows us to settle the complexity status of R(1, j, d), which is equivalent to the problem of recognizing intersection graphs of j-dimensional convex sets in Rd, for any j and d. Furthermore, we point out some trivial cases of R(k, j, d), and demonstrate that R(k, j, d) is ER-complete for j in {d - 1, d} and k ≥ d.

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Published

2023-11-28

How to Cite

Schnider, P., & Weber, S. (2023). On the Complexity of Recognizing Nerves of Convex Sets. Computing in Geometry and Topology, 3(2), 2:1–2:8. https://doi.org/10.57717/cgt.v3i2.40

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Original Research Articles

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