Contiguous Cake Cutting: Hardness Results and Approximation Algorithms
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Abstract (arXiv)
We study the fair allocation of a cake, which serves as a metaphor for a divisible resource, under the requirement that each agent should receive a contiguous piece of the cake. While it is known that no finite envy-free algorithm exists in this setting, we exhibit efficient algorithms that produce allocations with low envy among the agents. We then establish NP-hardness results for various decision problems on the existence of envy-free allocations, such as when we fix the ordering of the agents or constrain the positions of certain cuts. In addition, we consider a discretized setting where indivisible items lie on a line and show a number of hardness results extending and strengthening those from prior work. Finally, we investigate connections between approximate and exact envy-freeness, as well as between continuous and discrete cake cutting.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Nov 2019.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 1; 2026: 1.
4 papers.
- 2022Reforming an Envy-Free Matchingcited by 1
- 2025Resource Allocation under the Latin Square Constraintcited by 1
- 2023The Complexity of Envy-Free Graph Cuttingcited by 0
- 2026PPAD-Completeness of Contiguous Envy-Free Cake Cutting with Additive Valuationscited by 0
- 2026PPAD-Completeness of Contiguous Envy-Free Cake Cutting with Additive Valuations14 Oct 2026
- 2025Resource Allocation under the Latin Square Constraint11 Jan 2025
- 2023The Complexity of Envy-Free Graph Cutting12 Dec 2023
- 2022Reforming an Envy-Free Matching6 Jul 2022