Journals / Ankara Üniversitesi SBF Dergisi / 2018 / Cilt: 73 - Sayı: 4

Lone Wolf Theorem for One-Sided Matching Problems with Outside Option

Pages
1169–1176
Publication Date
2018-11-23
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, we show that for the general model with outside option Lonely Wolf Theorem still holds.

📌 3 Key Takeaways

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Objective & Hypothesis:Öz In this paper, we study one-sided matching problems (so-called roommate problems) with the outside option.
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Key Findings & Data:In the classical roommate problems, remaining single is conceived as the outside option.
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Conclusion & Impact:In this study, we show that for the general model with outside option Lonely Wolf Theorem still holds.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Anahtar Kelimeler Roommate Problems · Individual Rationality · Outside Option

Özet

Öz In this paper, we study one-sided matching problems (so-called roommate problems) with the outside option. In the classical roommate problems, remaining single is conceived as the outside option. However, there are many real life applications where this is not the case. We study roommate problems in which the outside option is defined as having no room. In this general framework, we discuss the generalization of so-called "Lonely Wolf Theorem" which states that any agent who is single in one stable matching is single in all other stable matchings. In this study, we show that for the general model with outside option Lonely Wolf Theorem still holds.

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Cite This Article

NİZAMOĞULLARI, D. (2018). Lone Wolf Theorem for One-Sided Matching Problems with Outside Option. Ankara Üniversitesi SBF Dergisi, Cilt: 73 - Sayı: 4, 1169–1176. https://ajindex.com/articles/10094

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References (1)

  1. Referans 1 Abraham, David J., Peter Biró and David F. Manlove (2006), ""Almost stable" matchings in the roommate problem," In: Erlebach, T., Persiano, G. (Eds.), Proceedings of WAOA2005.