Popular Matching in Roommates Setting Is NP-hard

Author:

Gupta Sushmita1,Misra Pranabendu2,Saurabh Saket3,Zehavi Meirav4

Affiliation:

1. The Institute for Mathematical Sciences, HBNI, India

2. Max Planck Institute for Informatics, Germany

3. The Institute for Mathematical Sciences, HBNI, India and University of Bergen, Norway

4. Ben-Gurion University, Israel

Abstract

An input to the P OPULAR M ATCHING problem, in the roommates setting (as opposed to the marriage setting), consists of a graph G (not necessarily bipartite) where each vertex ranks its neighbors in strict order, known as its preference. In the P OPULAR M ATCHING problem the objective is to test whether there exists a matching M * such that there is no matching M where more vertices prefer their matched status in M (in terms of their preferences) over their matched status in M *. In this article, we settle the computational complexity of the P OPULAR M ATCHING problem in the roommates setting by showing that the problem is NP-complete. Thus, we resolve an open question that has been repeatedly and explicitly asked over the last decade.

Funder

Horizon 2020 Framework Programme

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Theory and Mathematics,Theoretical Computer Science

Reference32 articles.

1. Popular Matchings

2. On the Existence of Stable Roommate Matchings

3. Agnes Cseh. 2015. Popular matchings. (2015). Combinatorial Optimization Hausdorff Trimester Program. Retrieved from http://www.him.uni-bonn.de/combinatorial-optimization-2015/. Agnes Cseh. 2015. Popular matchings. (2015). Combinatorial Optimization Hausdorff Trimester Program. Retrieved from http://www.him.uni-bonn.de/combinatorial-optimization-2015/.

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