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Computing Distances on Graph Associahedra is Fixed-parameter Tractable

Published: April 25, 2025 | arXiv ID: 2504.18338v1

By: Luís Felipe I. Cunha , Ignasi Sau , Uéverton S. Souza and more

Potential Business Impact:

Finds shortest paths in complex shapes faster.

Business Areas:
Database Data and Analytics, Software

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 $k$.

Page Count
25 pages

Category
Computer Science:
Data Structures and Algorithms