English

Towards Optimal Subsidy Bounds for Envy-freeable Allocations

Computer Science and Game Theory 2023-08-23 v1

Abstract

We study the fair division of indivisible items with subsidies among nn agents, where the absolute marginal valuation of each item is at most one. Under monotone valuations (where each item is a good), Brustle et al. (2020) demonstrated that a maximum subsidy of 2(n1)2(n-1) and a total subsidy of 2(n1)22(n-1)^2 are sufficient to guarantee the existence of an envy-freeable allocation. In this paper, we improve upon these bounds, even in a wider model. Namely, we show that, given an EF1 allocation, we can compute in polynomial time an envy-free allocation with a subsidy of at most n1n-1 per agent and a total subsidy of at most n(n1)/2n(n-1)/2. Moreover, we present further improved bounds for monotone valuations.

Keywords

Cite

@article{arxiv.2308.11230,
  title  = {Towards Optimal Subsidy Bounds for Envy-freeable Allocations},
  author = {Yasushi Kawase and Kazuhisa Makino and Hanna Sumita and Akihisa Tamura and Makoto Yokoo},
  journal= {arXiv preprint arXiv:2308.11230},
  year   = {2023}
}

Comments

14pages

R2 v1 2026-06-28T12:01:10.441Z