Separator Theorem for Minor-Free Graphs in Linear Time
By: Édouard Bonnet , Tuukka Korhonen , Hung Le and more
Potential Business Impact:
Finds a good split for tricky computer networks fast.
The planar separator theorem by Lipton and Tarjan [FOCS '77, SIAM Journal on Applied Mathematics '79] states that any planar graph with $n$ vertices has a balanced separator of size $O(\sqrt{n})$ that can be found in linear time. This landmark result kicked off decades of research on designing linear or nearly linear-time algorithms on planar graphs. In an attempt to generalize Lipton-Tarjan's theorem to nonplanar graphs, Alon, Seymour, and Thomas [STOC '90, Journal of the AMS '90] showed that any minor-free graph admits a balanced separator of size $O(\sqrt{n})$ that can be found in $O(n^{3/2})$ time. The superlinear running time in their separator theorem is a key bottleneck for generalizing algorithmic results from planar to minor-free graphs. Despite extensive research for more than two decades, finding a balanced separator of size $O(\sqrt{n})$ in (linear) $O(n)$ time for minor-free graphs remains a major open problem. Known algorithms either give a separator of size much larger than $O(\sqrt{n})$ or have superlinear running time, or both. In this paper, we answer the open problem affirmatively. Our algorithm is very simple: it runs a vertex-weighted variant of breadth-first search (BFS) a constant number of times on the input graph. Our key technical contribution is a weighting scheme on the vertices to guide the search for a balanced separator, offering a new connection between the size of a balanced separator and the existence of a clique-minor model. We believe that our weighting scheme may be of independent interest.
Similar Papers
Dominated balanced separators in wheel-induced-minor-free graphs
Combinatorics
Finds small groups of points to split big networks.
Star-Based Separators for Intersection Graphs of $c$-Colored Pseudo-Segments
Computational Geometry
Finds shortest paths in complex shape maps.
Deterministic Distributed DFS via Cycle Separators in Planar Graphs
Distributed, Parallel, and Cluster Computing
Finds paths in computer networks faster.