On the Number of Almost Envy-Free Allocations

05/30/2020
by   Warut Suksompong, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/12/2020

Closing Gaps in Asymptotic Fair Division

We study a resource allocation setting where m discrete items are to be ...
research
02/01/2023

On Lower Bounds for Maximin Share Guarantees

We study the problem of fairly allocating a set of indivisible items to ...
research
07/04/2022

Repeatedly Matching Items to Agents Fairly and Efficiently

We consider a novel setting where a set of items are matched to the same...
research
05/22/2022

On the Price of Fairness of Allocating Contiguous Blocks

In this work, we revisit the problem of fairly allocating a number of in...
research
08/29/2021

Fair and Efficient Resource Allocation with Externalities

In resource allocation, it is common to assume that agents have a utilit...
research
02/17/2023

Contests as Optimal Mechanisms under Signal Manipulation

We study the distribution of multiple homogeneous items to multiple agen...
research
05/31/2017

Obtaining a Proportional Allocation by Deleting Items

We consider the following control problem on fair allocation of indivisi...

Please sign up or login with your details

Forgot password? Click here to reset