Tackling Multiplicity of Equilibria with Gröbner Bases
Felix Kubler and
Karl Schmedders
Operations Research, 2010, vol. 58, issue 4-part-2, 1037-1050
Abstract:
Multiplicity of equilibria is a prevalent problem in many economic models. Often equilibria are characterized as solutions to a system of polynomial equations. This paper gives an introduction to the application of Gröbner bases for finding all solutions of a polynomial system. The Shape Lemma, a key result from algebraic geometry, states under mild assumptions that a given equilibrium system has the same solution set as a much simpler triangular system. Essentially, the computation of all solutions then reduces to finding all roots of a single polynomial in a single unknown. The software package Singular computes the equivalent simple system. If all coefficients in the original equilibrium equations are rational numbers or parameters, then the Gröbner basis computations of Singular are exact. Thus, Gröbner basis methods cannot only be used for a numerical approximation of equilibria, but in fact may allow the proof of theoretical results for the underlying economic model. Three economic applications illustrate that without much prior knowledge of algebraic geometry, Gröbner basis methods can be easily applied to gain interesting insights into many modern economic models.
Keywords: multiple equilibria; polynomial equations; Groebner bases (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://dx.doi.org/10.1287/opre.1100.0819 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:58:y:2010:i:4-part-2:p:1037-1050
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().