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Maximum Stable Matching with One-Sided Ties of Bounded Length

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Book cover Algorithmic Game Theory (SAGT 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11801))

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Abstract

We study the problem of finding maximum weakly stable matchings when preference lists are incomplete and contain one-sided ties of bounded length. We show that if the tie length is at most L, then it is possible to achieve an approximation ratio of \(1 + (1 - \frac{1}{L})^L\). We also show that the same ratio is an upper bound on the integrality gap, which matches the known lower bound. In the case where the tie length is at most 2, our result implies an approximation ratio and integrality gap of \(\frac{5}{4}\), which matches the known UG-hardness result.

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Notes

  1. 1.

    Some of the literature on stable matching with indifferences does not allow an agent to be indifferent between being matched to an agent and being unmatched. Our formulation of the smoti problem allows for this possibility, since we can have \(i=_j0\) for any man i and woman j.

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Correspondence to C. Gregory Plaxton .

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Lam, CK., Plaxton, C.G. (2019). Maximum Stable Matching with One-Sided Ties of Bounded Length. In: Fotakis, D., Markakis, E. (eds) Algorithmic Game Theory. SAGT 2019. Lecture Notes in Computer Science(), vol 11801. Springer, Cham. https://doi.org/10.1007/978-3-030-30473-7_23

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  • DOI: https://doi.org/10.1007/978-3-030-30473-7_23

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  • Publisher Name: Springer, Cham

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