English

A $2\ell k$ Kernel for $\ell$-Component Order Connectivity

Data Structures and Algorithms 2025-02-24 v2

Abstract

In the \ell-Component Order Connectivity problem (N\ell \in \mathbb{N}), we are given a graph GG on nn vertices, mm edges and a non-negative integer kk and asks whether there exists a set of vertices SV(G)S\subseteq V(G) such that Sk|S|\leq k and the size of the largest connected component in GSG-S is at most \ell. In this paper, we give a linear programming based kernel for \ell-Component Order Connectivity with at most 2k2\ell k vertices that takes nO()n^{\mathcal{O}(\ell)} time for every constant \ell. Thereafter, we provide a separation oracle for the LP of \ell-COC implying that the kernel only takes (3e)nO(1)(3e)^{\ell}\cdot n^{O(1)} time. On the way to obtaining our kernel, we prove a generalization of the qq-Expansion Lemma to weighted graphs. This generalization may be of independent interest.

Keywords

Cite

@article{arxiv.1610.04711,
  title  = {A $2\ell k$ Kernel for $\ell$-Component Order Connectivity},
  author = {Mithilesh Kumar and Daniel Lokshtanov},
  journal= {arXiv preprint arXiv:1610.04711},
  year   = {2025}
}

Comments

14 pages, 1 figure, accepted in IPEC 2016, (New: provided separation oracle for the LP, 1st appeared in the PhD thesis of Mithilesh Kumar)

R2 v1 2026-06-22T16:21:46.381Z