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 .

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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

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article

Towards optimal subsidy bounds for envy-freeable allocations

Yasushi Kawase, Hanna Sumita, Makoto Yokoo, Akihisa Tamura et al.
1 citations
Artificial Intelligence
Game Theory and Voting Systems
3.13
article

Towards optimal subsidy bounds for envy-freeable allocations

Yasushi Kawase, Hanna Sumita, Makoto Yokoo, Akihisa Tamura, Kazuhisa Makino
article en
1 citations

Abstract

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 .

Artificial IntelligenceVol. 348
Kyushu University (JP), Keio University (JP), Kyoto University (JP), Institute of Science Tokyo (JP), The University of Tokyo (JP)
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
Openalex Percentile: Top 7%
Game Theory and Voting Systems
3.13
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Towards optimal subsidy bounds for envy-freeable allocations — Yasushi Kawase, Hanna Sumita, et al. · Artificial Intelligence (2025) | TGRS Research Map | TGRS