NP-hardness of computing PL geometric category in dimension 2
Michael Skotnica, Martin Tancer

TL;DR
This paper proves that determining the PL geometric category of 2-dimensional polyhedra is NP-hard, highlighting the computational difficulty of classifying such polyhedra based on their topological complexity.
Contribution
It establishes the NP-hardness of deciding whether a 2-polyhedron has PL geometric category at most 2, extending previous partial characterizations and linking shellability to this complexity.
Findings
Deciding if plgcat(P) ≤ 2 is NP-hard.
Shellable subdivisions imply plgcat(P) ≤ 2.
Shellability of 2-complexes is NP-hard.
Abstract
The PL geometric category of a polyhedron , denoted , provides a natural upper bound for the Lusternik--Schnirelmann category and it is defined as the minimum number of PL collapsible subpolyhedra of that cover . In dimension 2 the PL geometric category is at most~3. It is easy to characterize/recognize -polyhedra with . Borghini provided a partial characterization of -polyhedra with . We complement his result by showing that it is NP-hard to decide whether . Therefore, we should not expect much more than a partial characterization, at least in algorithmic sense. Our reduction is based on the observation that 2-dimensional polyhedra admitting a shellable subdivision satisfy and a (nontrivial) modification of the reduction of Goaoc, Pat\'{a}k,…
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Taxonomy
Topicsgraph theory and CDMA systems · Homotopy and Cohomology in Algebraic Topology · Advanced Graph Theory Research
