{"ID":5935693,"CreatedAt":"2026-07-07T01:22:02.77346169Z","UpdatedAt":"2026-07-07T02:10:06.972658124Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.03416","arxiv_id":"2607.03416","title":"Shortest Path Map Equivalence Decompositions and Applications","abstract":"Given a polygonal domain $P$ in the plane, the shortest path map with respect to a point $s$, denoted by $SPM(s)$, is the decomposition of $P$ into cells such that shortest paths from $s$ to all points $t$ in the same cell have the same vertex sequence. The shortest path map equivalence decomposition of $P$ is the decomposition of $P$ into cells so that $SPM(s)$ is topologically equivalent for all points $s$ in the same cell. In this paper, we prove new upper bounds on the combinatorial complexities of the $SPM$-equivalence decompositions under various settings, depending on whether $s$ and/or $t$ are restricted to the boundary of $P$. We also propose new algorithms to compute these decompositions. Further, our results lead to new solutions to several other problems, including answering two-point shortest path queries in $P$, and computing geodesic diameter and center of $P$.","short_abstract":"Given a polygonal domain $P$ in the plane, the shortest path map with respect to a point $s$, denoted by $SPM(s)$, is the decomposition of $P$ into cells such that shortest paths from $s$ to all points $t$ in the same cell have the same vertex sequence. The shortest path map equivalence decomposition of $P$ is the deco...","url_abs":"https://arxiv.org/abs/2607.03416","url_pdf":"https://arxiv.org/pdf/2607.03416v1","authors":"[\"Haitao Wang\"]","published":"2026-07-03T15:25:11Z","proceeding":"cs.CG","tasks":"[\"cs.CG\",\"cs.DS\"]","methods":"[]","has_code":false}