Envy-Free Cake Cutting with Graph Constraints
Ganesh Ghalme, Xin Huang, Nidhi Rathi

TL;DR
This paper introduces an efficient cake-cutting protocol for envy-free division among agents arranged in depth-two tree graphs, significantly reducing query complexity compared to previous methods.
Contribution
It identifies a specific graph structure (Depth2Tree) that allows for a query-efficient envy-free cake division protocol, improving upon prior hyper-exponential algorithms.
Findings
Developed a discrete protocol with O(n^3 log n) cuts for Depth2Tree graphs.
Established that O(n^2) queries suffice for 2-Star graphs.
Proved a lower bound of Ω(n^2) queries for 1-Star graphs.
Abstract
We study the classic problem of fairly dividing a heterogeneous and divisible resource -- represented by a cake, -- among agents. This work considers an interesting variant of the problem where agents are embedded on a graph. The graphical constraint entails that each agent evaluates her allocated share only against her neighbor's share. Given a graph, the goal is to efficiently find a locally envy-free allocation where every agent values her share to be at least as much as any of her neighbor's share. The best known algorithm (by Aziz and Mackenzie) for finding envy-free cake divisions has a hyper-exponential query complexity. One of the key technical contributions of this work is to identify a non-trivial graph structure -- tree graphs with depth at-most two (Depth2Tree) -- on agents that admits a query efficient cake-cutting protocol (under the Robertson-Webb query…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Optimization and Search Problems · Advanced Graph Theory Research
