English

Cut-Preserving Vertex Sparsifiers for Planar and Quasi-bipartite Graphs

Data Structures and Algorithms 2024-10-18 v2

Abstract

We study vertex sparsification for preserving cuts. Given a graph GG with a subset T=k|T|=k of its vertices called terminals, a \emph{quality-qq cut sparsifier} is a graph GG' that contains TT, such that, for any partition (T1,T2)(T_1,T_2) of TT into non-empty subsets, the value of the min-cut in GG' separating T1T_1 from T2T_2 is within factor qq from the value of the min-cut in GG separating T1T_1 from T2T_2. The construction of cut sparsifiers with good (small) quality and size has been a central problem in graph compression for years. Planar graphs and quasi-bipartite graphs are two important special families studied in this research direction. The main results in this paper are new cut sparsifier constructions for them in the high-quality regime (where q=1q=1 or 1+ε1+\varepsilon for small ε>0\varepsilon>0). We first show that every planar graph admits a planar quality-(1+ε)(1+\varepsilon) cut sparsifier of size O~(k/poly(ε))\tilde O(k/\text{poly}(\varepsilon)), which is in sharp contrast with the lower bound of 2Ω(k)2^{\Omega(k)} for the quality-11 case. We then show that every quasi-bipartite graph admits a quality-11 cut sparsifier of size 2O~(k2)2^{\tilde O(k^2)}. This is the second to improve over the doubly-exponential bound for general graphs (previously only planar graphs have been shown to have single-exponential size quality-11 cut sparsifiers). Lastly, we show that contraction, a common approach for constructing cut sparsifiers adopted in most previous works, does not always give optimal bounds for cut sparsifiers. We demonstrate this by showing that the optimal size bound for quality-(1+ε)(1+\varepsilon) contraction-based cut sparsifiers for quasi-bipartite graphs lies in the range [kΩ~(1/ε),kO(1/ε2)][k^{\tilde\Omega(1/\varepsilon)},k^{O(1/\varepsilon^2)}], while in previous work an upper bound of O~(k/ε2)\tilde O(k/\varepsilon^2) was achieved via a non-contraction approach.

Keywords

Cite

@article{arxiv.2407.10852,
  title  = {Cut-Preserving Vertex Sparsifiers for Planar and Quasi-bipartite Graphs},
  author = {Yu Chen and Zihan Tan},
  journal= {arXiv preprint arXiv:2407.10852},
  year   = {2024}
}