Polynomial-Time Constant Approximation for Hylland-Zeckhauser Equilibria in Multi-Valued Utilities

arXiv CS · · 2 min read · Engineering & Technology

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Key Takeaways

  • Polynomial-time algorithm for $1/e$-approximate Hylland-Zeckhauser (HZ) equilibrium developed.
  • First efficient approximation guarantee for HZ equilibria in multi-valued utility settings.
  • Novel utility stratification technique reduces multi-valued markets to bi-valued instances.
  • Leverages Vazirani and Yannakakis' exact algorithm for approximation computation.

Why This Matters

This development provides a method for efficiently approximating a specific type of market equilibrium in complex scenarios. The ability to efficiently compute such approximations can be relevant for various resource allocation and market design problems.

Overview

A polynomial-time algorithm has been developed for computing a $1/e$-approximate Hylland-Zeckhauser (HZ) equilibrium. This algorithm addresses scenarios involving multi-valued utilities, providing the initial efficient approximation guarantee for HZ equilibria under these conditions.

The core technical contribution involves a novel utility stratification technique. This technique transforms the original market, characterized by multi-valued utilities, into a structured bi-valued instance. This transformation facilitates the efficient computation of the approximation by utilizing the exact algorithm developed by Vazirani and Yannakakis.

Research Context

The problem of computing equilibria in economic and resource allocation models is central to various fields. Specifically, Hylland-Zeckhauser (HZ) equilibria represent a class of stable allocations in markets where agents have preferences for multiple goods or services. Challenges arise in scenarios where utilities are multi-valued, making exact computation difficult or computationally intensive.

Approach

The presented research focuses on developing an efficient approximation algorithm for HZ equilibria in settings with multi-valued utilities. The algorithm's design hinges on a two-step process:

  1. Utility Stratification Technique: This novel technique is applied to reduce the complexity of the original multi-valued market. It transforms the problem into a structured bi-valued instance. This reduction is a key enabler for the subsequent approximation step.
  2. Leveraging Vazirani and Yannakakis' Algorithm: Once the market is reduced to a bi-valued instance, the exact algorithm developed by Vazirani and Yannakakis is applied. This existing algorithm is utilized to efficiently compute the approximation for the transformed instance, which then translates back to the $1/e$-approximate HZ equilibrium for the original multi-valued market.

Findings

  • A polynomial-time algorithm has been developed to compute a $1/e$-approximate Hylland-Zeckhauser (HZ) equilibrium.
  • This algorithm provides the first efficient approximation guarantee for HZ equilibria in settings where utilities are multi-valued.
  • The algorithm employs a utility stratification technique that converts multi-valued markets into structured bi-valued instances.
  • The conversion enables the use of the exact algorithm by Vazirani and Yannakakis for efficient approximation computation.

Research Information

Institution
arXiv CS
Original Study
View Publication
Source
arXiv CS

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