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Fairer than Fair : Sharp Bounds for Connected Super-Proportional Cake Cutting

Jankó, Zsuzsanna ORCID: https://orcid.org/0000-0002-6149-4257, Joó, Attila ORCID: https://orcid.org/0000-0002-4121-2830, Segal-Halevi, Erel ORCID: https://orcid.org/0000-0002-7497-5834 and Yuen, Sheung Man ORCID: https://orcid.org/0000-0002-8621-5402 (2026) Fairer than Fair : Sharp Bounds for Connected Super-Proportional Cake Cutting. Journal of Artificial Intelligence Research, 85 . DOI 10.1613/jair.1.19057

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Official URL: https://doi.org/10.1613/jair.1.19057


Abstract

We investigate the problem of fairly dividing a divisible heterogeneous resource, also known as a cake, among a set of agents who may have different entitlements. We characterize the existence of a connected super-proportional (also called strongly-proportional) allocation -- one in which every agent receives a contiguous piece worth strictly more than their proportional share. The characterization is supplemented with an algorithm that determines its existence using O(n · 2n) queries. We devise a simpler characterization for agents with strictly positive valuations and with equal entitlements, and present an algorithm to determine the existence of such an allocation using O(n2) queries. We provide matching lower bounds in the number of queries for both algorithms. When a connected super-proportional allocation exists, we show that it can also be computed using a similar number of queries. We also consider the problem of deciding the existence of a connected allocation of a cake in which each agent receives a piece worth a small fixed value more than their proportional share, and the problem of deciding the existence of a connected super-proportional allocation of a pie (a 1-dimensional circular cake).

Item Type:Article
Uncontrolled Keywords:Super-Proportional Cake Cutting; Strongly-Proportional Cake Cutting; dividing a heterogeneous resource;
Divisions:Institute of Operations and Decision Sciences
Subjects:Decision making
Funders:Hungarian Scientific Research Fund, Hungarian Academy of Sciences, Deutsche Forschungsgemeinschaft (DFG,German Research Foundation), Israel Science Foundation, Singapore Ministry of Education
Projects:K143858, OTKA129211, Momentum Programme LP2021-2, 513023562, 712/20 and 1092/24, MOE-T2EP20221-0001
DOI:10.1613/jair.1.19057
ID Code:13076
Deposited By: MTMT SWORD
Deposited On:16 Jul 2026 11:52
Last Modified:16 Jul 2026 11:52

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