Towards optimal subsidy bounds for envy-freeable allocations
We study the fair division of indivisible items with subsidies among n agents, where the absolute marginal valuation of each item is at most one. Under monotone nondecreasing valuations (where each item is a good), Brustle et al. [9] demonstrated that a maximum subsidy of 2 ( n − 1 ) and a total subsidy of 2 ( 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 n − 1 per agent and a total subsidy of at most n ( n − 1 ) / 2 . Moreover, when the valuations are monotone nondecreasing, we provide a polynomial-time algorithm that computes an envy-free allocation with a subsidy of at most n − 1.5 per agent and a total subsidy of at most ( n 2 − n − 1 ) / 2 .
Authors
- Yasushi Kawase (ORCID: https://orcid.org/0000-0001-5626-779X)
- Hanna Sumita (ORCID: https://orcid.org/0000-0003-4005-3206)
- Makoto Yokoo (ORCID: https://orcid.org/0000-0003-4929-396X)
- Akihisa Tamura (ORCID: https://orcid.org/0000-0001-9528-7582)
- Kazuhisa Makino (ORCID: https://orcid.org/0009-0000-9771-4955)
Institutions
- Kyushu University (JP)
- Keio University (JP)
- Kyoto University (JP)
- Institute of Science Tokyo (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- Artificial Intelligence
- Published
- 2025-08-28
- DOI
- https://doi.org/10.1016/j.artint.2025.104406
- Citations
- 1
- Primary Topic
- Game Theory and Voting Systems
- Type
- article
- Field-Weighted Citation Impact
- 3.13
Funders
- Toyota Motor Corporation
- Kyoto University
- Japan Society for the Promotion of Science
- Japan Science and Technology Agency
- Precursory Research for Embryonic Science and Technology
- Exploratory Research for Advanced Technology