A New Lower Bound for Multicolor Discrepancy with Applications to Fair Division

Published: 2025, Last Modified: 25 Jan 2026SAGT 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
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 multicolor discrepancy, showing that there is a set system with n subsets over a set of elements in which any k-coloring of the elements has discrepancy at least \(\varOmega \left( \sqrt{\frac{n}{\ln {k}}}\right) \). This result improves the previously best-known lower bound of \(\varOmega \left( \sqrt{\frac{n}{k}}\right) \) of Doerr and Srivastav [10] and may have several applications. Here, we explore its implications on the feasibility of fair division concepts for instances with n agents having valuations for a set of indivisible items. The first such concept is known as consensus 1/k-division up to d items (CDd) and aims to allocate the items into k bundles so that no matter which bundle each agent is assigned to, the allocation is envy-free up to d items. The above lower bound implies that CDd can be infeasible for \(d\in \varOmega \left( \sqrt{\frac{n}{\ln {k}}}\right) \). We furthermore extend our proof technique to show that there exist instances of the problem of allocating indivisible items to k groups of n agents in total so that envy-freeness and proportionality up to d items are infeasible for \(d\in \varOmega \left( \sqrt{\frac{n}{k\ln {k}}}\right) \) and \(d\in \varOmega \left( \sqrt{\frac{n}{k^3\ln {k}}}\right) \), respectively. The lower bounds for fair division improve the currently best-known ones by Manurangsi and Suksompong [16].
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