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arxiv: 2111.10038 · v1 · pith:TJ6WTUENnew · submitted 2021-11-19 · 🧮 math.CO · cs.CG

From word-representable graphs to altered Tverberg-type theorems

classification 🧮 math.CO cs.CG
keywords everygraphcomplexesmanynervepointssufficientlyword-representable
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Tverberg's theorem says that a set with sufficiently many points in $\mathbb{R}^d$ can always be partitioned into $m$ parts so that the $(m-1)$-simplex is the (nerve) intersection pattern of the convex hulls of the parts. In arXiv:1808.00551v1 [math.MG] the authors investigate how other simplicial complexes arise as nerve complexes once we have a set with sufficiently many points. In this paper we relate the theory of word-representable graphs as a way of codifying $1$-skeletons of simplicial complexes to generate nerves. In particular, we show that every $2$-word-representable triangle-free graph, every circle graph, every outerplanar graph, and every bipartite graph could be induced as a nerve complex once we have a set with sufficiently many points in $\mathbb{R}^d$ for some $d$.

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