mlsanityData to 7 Oct 2026

On the Number of Almost Envy-Free Allocations

arXiv 2006.00178 ↗First posted 30 May 2020cs.GT cs.DMcited by 2

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Abstract (arXiv)

Envy-freeness is a standard benchmark of fairness in resource allocation. Since it cannot always be satisfied when the resource consists of indivisible items even when there are two agents, the relaxations envy-freeness up to one item (EF1) and envy-freeness up to any item (EFX) are often considered. We establish tight lower bounds on the number of allocations satisfying each of these benchmarks in the case of two agents. In particular, while there can be as few as two EFX allocations for any number of items, the number of EF1 allocations is always exponential in the number of items. Our results apply a version of the vertex isoperimetric inequality on the hypercube and help explain the large gap in terms of robustness between the two notions.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 May 2020.

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