English

A Note on Submodular Maximization over Independence Systems

Data Structures and Algorithms 2019-06-11 v2

Abstract

In this work, we consider the maximization of submodular functions constrained by independence systems. Because of the wide applicability of submodular functions, this problem has been extensively studied in the literature, on specialized independence systems. For general independence systems, even when all of the bases of the independence system have the same size, we show that for any ϵ>0\epsilon > 0, the problem is hard to approximate within (2/n)1ϵ(2/n)^{1-\epsilon}, where nn is the size of the ground set. In the same context, we show the greedy algorithm does obtain a ratio of 2/n2/n under an additional mild additional assumption. Finally, we provide the first nearly linear-time algorithm for maximization of non-monotone submodular functions over pp-extendible independence systems.

Keywords

Cite

@article{arxiv.1906.02315,
  title  = {A Note on Submodular Maximization over Independence Systems},
  author = {Alan Kuhnle},
  journal= {arXiv preprint arXiv:1906.02315},
  year   = {2019}
}

Comments

A previous version of this manuscript used an incorrect definition of $p$-system to claim the inapproximability result held for $1$-systems, which was incorrect. The corrected hardness statement is in the Abstract. 8 pages, 0 figures

R2 v1 2026-06-23T09:44:21.248Z