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A decentralized process for finding equilibria given by linear equations.

S Reiter1

  • 1Center for Mathematical Studies in Economics and Management Science, Northwestern University, Evanston, IL 60208, USA.

Proceedings of the National Academy of Sciences of the United States of America
|July 19, 1994
PubMed
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This study introduces a decentralized method to find all economic equilibria using linear conditions. The process efficiently identifies all solutions or confirms none exist, outperforming other decentralized approaches.

Area of Science:

  • Economics
  • Computer Science
  • Applied Mathematics

Background:

  • Finding economic equilibria is crucial for understanding market dynamics.
  • Existing decentralized processes for equilibrium computation can be complex and inefficient.
  • Linear equilibrium conditions are common in many economic models.

Purpose of the Study:

  • To present a novel decentralized process for identifying economic equilibria.
  • To ensure the process finds all equilibria or reports their absence.
  • To analyze the computational and communication complexity of the proposed method.

Main Methods:

  • A decentralized algorithm designed for systems with a finite number of linear equilibrium conditions.
  • The process guarantees termination in a finite number of steps, bounded by the number of equations.

Related Experiment Videos

  • Interpretation of the process as an algorithm for solving distributed systems of linear equations.
  • Main Results:

    • The developed decentralized process successfully finds all economic equilibria.
    • The method efficiently determines the absence of equilibria when none exist.
    • Favorable comparisons in communication and computational complexity against existing decentralized processes.

    Conclusions:

    • The proposed decentralized process offers an efficient and robust method for finding economic equilibria.
    • The algorithm's performance is competitive, particularly in distributed computing environments.
    • The process provides a valuable tool for solving distributed linear systems with economic applications.