Skip to content
Preprint

Asymptotic Max-Min Fair Allocation with Random Utilities

Sep 2026 · 0 citations · 47 references
Computer Science Mathematics

Abstract

We investigate the asymptotic behavior of max-min fair allocations for indivisible goods under i.i.d. random utilities. For $N$ agents and $K$ goods with utilities ${\mU_{i,j}}$ drawn independently from a common distribution $F$, we derive asymptotic characterizations of the max-min value in the balanced case $K=N$ (and in $K=LN$ extensions) via distributional quantiles. We then study the efficiency impact of max-min fairness by comparing the resulting total welfare with the optimal sum welfare. For distributions with sufficiently light tails, we prove that the relative efficiency loss converges to zero as the market grows, implying that max-min fairness incurs negligible welfare loss in large random instances for a broad class of distributions.

View source

Similar papers

Preprint Sep 2026

Randomized Online Fair Division: High-Probability and Expected Realized Fairness

We study randomized algorithms for the fully online allocation of indivisible goods among $n\ge2$ agents with nonnegative additive valuations. Goods arrive sequentially and must be allocated immediately and irrevocably, with only $n$ known in advance. Since exact ex-ante envy freeness and proportionality are readily ac...

Tian-Qi Chen, Jing Long · 3 citations
Preprint Sep 2026

Fractional Assignment with $\ell_1$ Preferences

We study a fractional assignment setting where $n$ objects are to be assigned to $n$ agents with unit capacity, and each agent specifies an ideal distribution over the objects. Unlike in classic random assignment, these ideal distributions are not necessarily degenerate, as agents may prefer a mixture of objects rather...

Yasushi Kawase, Warut Suksompong, Hanna Sumita et al. · 0 citations
Preprint Oct 2026

Asymptotic Subsidies for Envy-Free Allocation

We study the minimum monetary subsidy required for exact envy-freeness in allocating $m_n$ indivisible goods to $n$ agents. Valuations are additive, item values are i.i.d. from a distribution on $[0,1]$ with density bounded above and away from zero, and all agents value money equally. We consider $n\to\infty$ with $m_n...

Ze-Kai Wu · 0 citations
Preprint Oct 2026

Fair Allocation with Dichotomous Preferences over Item Complements

We study the problem of fair allocation when agents have dichotomous submodular preferences over groups of, rather than individual, items. These preferences naturally extend existing models, and have a natural interpretation in settings such as course allocation. We show that this seemingly minor extension results in c...

Soumyajit Pyne, V. Viswanathan, Wen-Hao Yang et al. · 0 citations
Preprint Sep 2026

Online Fair Division: Pushing the Frontier of Approximate Proportionality

Online fair division captures allocation problems in which indivisible resources arrive over time and must be assigned before future resources are known. Understanding what fairness remains achievable when allocation decisions are immediate and irrevocable is a fundamental question in this setting. We study determinist...

Ying-Jian Du, An-Kang Sun · 4 citations · ⚡1
Preprint Oct 2026

Best-of-Both-Worlds Fair Division via Subsidies

We study the relationship between fair division with $\textit{subsidies}$ and $\textit{best-of-both-worlds}$ (BoBW) fairness for indivisible items. We prove a general reduction of BoBW existence to envy-freeability. Specifically, for any scale-free ex-post property $P$ (e.g., EF1, EFX, PO) and any scale-free valuation...

S. Panchapakesan, Rohit Vaish · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.