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        <identifier>oai:drops-oai.dagstuhl.de:17411</identifier>
        <datestamp>2024-03-06T10:59:41Z</datestamp>
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          <dc:title>A Structural and Algorithmic Study of Stable Matching Lattices of "Nearby" Instances, with Applications</dc:title>
          <dc:creator>Gangam, Rohith Reddy</dc:creator>
          <dc:creator>Mai, Tung</dc:creator>
          <dc:creator>Raju, Nitya</dc:creator>
          <dc:creator>Vazirani, Vijay V.</dc:creator>
          <dc:subject>stable matching</dc:subject>
          <dc:subject>robust solutions</dc:subject>
          <dc:subject>finite distributive lattice</dc:subject>
          <dc:subject>Birkhoff’s Representation Theorem</dc:subject>
          <dc:description>Recently [Mai and Vazirani, 2018] identified and initiated work on a new problem, namely understanding structural relationships between the lattices of solutions of two "nearby" instances of stable matching. They also gave an application of their work to finding a robust stable matching. However, the types of changes they allowed in going from instance A to B were very restricted, namely any one agent executes an upward shift.&#13;
In this paper, we allow any one agent to permute its preference list arbitrarily. Let M_A and M_B be the sets of stable matchings of the resulting pair of instances A and B, and let ℒ_A and ℒ_B be the corresponding lattices of stable matchings. We prove that the matchings in M_A ∩ M_B form a sublattice of both ℒ_A and ℒ_B and those in M_A ⧵ M_B form a join semi-sublattice. These properties enable us to obtain a polynomial time algorithm for not only finding a stable matching in M_A ∩ M_B, but also for obtaining the partial order, as promised by Birkhoff’s Representation Theorem [Birkhoff, 1937]. As a result, we can generate all matchings in this sublattice. &#13;
Our algorithm also helps solve a version of the robust stable matching problem. We discuss another potential application, namely obtaining new insights into the incentive compatibility properties of the Gale-Shapley Deferred Acceptance Algorithm.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Rohith Reddy Gangam and Tung Mai and Nitya Raju and Vijay V. Vazirani</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 250, 42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FSTTCS.2022.19</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-174114</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2022.19</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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