A new lower bound for multi-color discrepancy with applications to fair division
arXiv:2502.10516
Abstract
A classical problem in combinatorics seeks colorings of low discrepancy. More concretely, the goal is to color the elements of a set system so that the number of appearances of any color among the elements in each set is as balanced as possible. We present a new lower bound for multi-color discrepancy, showing that there is a set system with subsets over a set of elements in which any -coloring of the elements has discrepancy at least . This result improves the previously best-known lower bound of of Doerr and Srivastav [2003] and may have several applications. Here, we explore its implications on the feasibility of fair division concepts for instances with agents having valuations for a set of indivisible items. The first such concept is known as consensus -division up to items (\cd) and aims to allocate the items into bundles so that no matter which bundle each agent is assigned to, the allocation is envy-free up to items. The above lower bound implies that \cd can be infeasible for . We furthermore extend our proof technique to show that there exist instances of the problem of allocating indivisible items to groups of agents in total so that envy-freeness and proportionality up to items are infeasible for and , respectively. The lower bounds for fair division improve the currently best-known ones by Manurangsi and Suksompong [2022].