English

Fair Allocation of Indivisible Goods with Variable Groups

Computer Science and Game Theory 2025-11-11 v1 Discrete Mathematics Probability

Abstract

We study the fair allocation of indivisible goods with variable groups. In this model, the goal is to partition the agents into groups of given sizes and allocate the goods to the groups in a fair manner. We show that for any number of groups and corresponding sizes, there always exists an envy-free up to one good (EF1) outcome, thereby generalizing an important result from the individual setting. Our result holds for arbitrary monotonic utilities and comes with an efficient algorithm. We also prove that an EF1 outcome is guaranteed to exist even when the goods lie on a path and each group must receive a connected bundle. In addition, we consider a probabilistic model where the utilities are additive and drawn randomly from a distribution. We show that if there are nn agents, the number of goods mm is divisible by the number of groups kk, and all groups have the same size, then an envy-free outcome exists with high probability if m=ω(logn)m = \omega(\log n), and this bound is tight. On the other hand, if mm is not divisible by kk, then an envy-free outcome is unlikely to exist as long as m=o(n)m = o(\sqrt{n}).

Keywords

Cite

@article{arxiv.2511.06218,
  title  = {Fair Allocation of Indivisible Goods with Variable Groups},
  author = {Paul Gölz and Ayumi Igarashi and Pasin Manurangsi and Warut Suksompong},
  journal= {arXiv preprint arXiv:2511.06218},
  year   = {2025}
}

Comments

Appears in the 40th AAAI Conference on Artificial Intelligence (AAAI), 2026

R2 v1 2026-07-01T07:28:02.060Z