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A decomposition from a many-to-one matching market with path-independent choice functions to a one-to-one matching market

Pablo Neme, Jorge Oviedo

TL;DR

This work links many-to-one markets with path-independent firm choices to associated one-to-one markets using the Aizerman-Malishevski decomposition. It introduces stability* to capture appropriate stability when firms are represented by multiple copies with differing preferences, and proves an isomorphism between stable matchings in the original market and stable* matchings in the decomposed market. The authors adapt the deferred acceptance algorithm to compute stable* outcomes from either side and show that the stable* set is non-empty; they also obtain an adapted Rural Hospital Theorem via the isomorphism. Overall, the paper provides a principled method to transfer stability concepts and algorithmic procedures across market formats, with implications for resource allocation and matching design in settings with capacities and path-dependent choices.

Abstract

For a many-to-one market where firms are endowed with path-independent choice functions, based on the Aizerman-Malishevski decomposition, we define an associated one-to-one market. Given that the usual notion of stability for a one-to-one market does not fit well for this associated one-to-one market, we introduce a new notion of stability. This notion allows us to establish an isomorphism between the set of stable matchings in the many-to-one market and the matchings in an associated one-to-one market that meet this new stability criterion. Furthermore, we present an adaptation of the well-known deferred acceptance algorithm to compute a matching that satisfies this new notion of stability for the associated one-to-one market. Finally, as a byproduct of our isomorphism, we prove an adapted version of the so-called Rural Hospital Theorem.

A decomposition from a many-to-one matching market with path-independent choice functions to a one-to-one matching market

TL;DR

This work links many-to-one markets with path-independent firm choices to associated one-to-one markets using the Aizerman-Malishevski decomposition. It introduces stability* to capture appropriate stability when firms are represented by multiple copies with differing preferences, and proves an isomorphism between stable matchings in the original market and stable* matchings in the decomposed market. The authors adapt the deferred acceptance algorithm to compute stable* outcomes from either side and show that the stable* set is non-empty; they also obtain an adapted Rural Hospital Theorem via the isomorphism. Overall, the paper provides a principled method to transfer stability concepts and algorithmic procedures across market formats, with implications for resource allocation and matching design in settings with capacities and path-dependent choices.

Abstract

For a many-to-one market where firms are endowed with path-independent choice functions, based on the Aizerman-Malishevski decomposition, we define an associated one-to-one market. Given that the usual notion of stability for a one-to-one market does not fit well for this associated one-to-one market, we introduce a new notion of stability. This notion allows us to establish an isomorphism between the set of stable matchings in the many-to-one market and the matchings in an associated one-to-one market that meet this new stability criterion. Furthermore, we present an adaptation of the well-known deferred acceptance algorithm to compute a matching that satisfies this new notion of stability for the associated one-to-one market. Finally, as a byproduct of our isomorphism, we prove an adapted version of the so-called Rural Hospital Theorem.

Paper Structure

This paper contains 8 sections, 5 theorems, 23 equations, 2 tables.

Key Result

Theorem 1

Let $\lambda_\mathcal{F}$ be the output of the firm-copies-proposing deferred acceptance algorithm. Then, $\lambda_\mathcal{F}$ is a stable* matching.

Theorems & Definitions (10)

  • Example 1
  • Definition 1
  • Definition 2
  • Definition 3
  • Remark 1
  • Theorem 1
  • Theorem 2
  • Theorem 3
  • Theorem 4: The adapted Rural Hospital Theorem
  • Corollary 1