Computing Distances on Graph Associahedra is Fixed-parameter Tractable

April 25, 2025 Β· Declared Dead Β· πŸ› International Colloquium on Automata, Languages and Programming

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Authors LuΓ­s Felipe I. Cunha, Ignasi Sau, UΓ©verton S. Souza, Mario Valencia-Pabon arXiv ID 2504.18338 Category cs.DS: Data Structures & Algorithms Cross-listed cs.CG, cs.DM, math.CO Citations 1 Venue International Colloquium on Automata, Languages and Programming Last Checked 4 months ago
Abstract
An elimination tree of a connected graph $G$ is a rooted tree on the vertices of $G$ obtained by choosing a root $v$ and recursing on the connected components of $G-v$ to obtain the subtrees of $v$. The graph associahedron of $G$ is a polytope whose vertices correspond to elimination trees of $G$ and whose edges correspond to tree rotations, a natural operation between elimination trees. These objects generalize associahedra, which correspond to the case where $G$ is a path. Ito et al. [ICALP 2023] recently proved that the problem of computing distances on graph associahedra is NP-hard. In this paper we prove that the problem, for a general graph $G$, is fixed-parameter tractable parameterized by the distance $k$. Prior to our work, only the case where $G$ is a path was known to be fixed-parameter tractable. To prove our result, we use a novel approach based on a marking scheme that restricts the search to a set of vertices whose size is bounded by a (large) function of $k$.
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