Rainbow Cycle Number and EFX Allocations: (Almost) Closing the Gap
Shayan Chashm Jahan, Masoud Seddighin, Seyed-Mohammad Seyed-Javadi,, Mohammad Sharifi

TL;DR
This paper explores the relationship between the Rainbow Cycle problem and EFX fairness allocations, introducing a new combinatorial problem and improving bounds on rainbow cycle numbers to nearly tight levels, impacting fair division algorithms.
Contribution
The paper introduces the rainbow path degree problem, establishes its connection to rainbow cycle bounds, and improves upper bounds on rainbow cycle numbers, leading to better fair allocation guarantees.
Findings
Established a lower bound on the rainbow path degree, (ll) (ll^2 / \u00A0log n)
Improved the upper bound on (d) to (d) 2d-4 for a special case
Proposed a conjecture that (ll) loor(ll^2 / 2) - 1, supported by experiments
Abstract
Recently, some studies on the fair allocation of indivisible goods notice a connection between a purely combinatorial problem called the Rainbow Cycle problem and a fairness notion known as : assuming that the rainbow cycle number for parameter (i.e. ) is , we can find a - allocation with number of discarded goods \cite{chaudhury2021improving}. The best upper bound on is improved in a series of works to \cite{chaudhury2021improving}, \cite{berendsohn2022fixed}, and finally to \cite{Akrami2022}.\footnote{We refer to the note at the end of the introduction for a short discussion on the result of \cite{Akrami2022}.} Also, via a simple observation, we have …
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Taxonomy
TopicsLimits and Structures in Graph Theory · Advanced Graph Theory Research · Markov Chains and Monte Carlo Methods
