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Multivariate stable polynomials: theory and applications


Author: David G. Wagner
Journal: Bull. Amer. Math. Soc. 48 (2011), 53-84
MSC (2010): Primary 32A60; Secondary 05A20, 05B35, 15A45, 15A48, 60G55, 60K35
DOI: https://doi.org/10.1090/S0273-0979-2010-01321-5
Published electronically: October 4, 2010
MathSciNet review: 2738906
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Abstract: Univariate polynomials with only real roots, while special, do occur often enough that their properties can lead to interesting conclusions in diverse areas. Due mainly to the recent work of two young mathematicians, Julius Borcea and Petter Brändén, a very successful multivariate generalization of this method has been developed. The first part of this paper surveys some of the main results of this theory of multivariate stable polynomials--the most central of these results is the characterization of linear transformations preserving stability of polynomials. The second part presents various applications of this theory in complex analysis, matrix theory, probability and statistical mechanics, and combinatorics.


References [Enhancements On Off] (What's this?)

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Additional Information

David G. Wagner
Affiliation: Department of Combinatorics and Optimization, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
Email: dgwagner@math.uwaterloo.ca

DOI: https://doi.org/10.1090/S0273-0979-2010-01321-5
Received by editor(s): May 17, 2010
Received by editor(s) in revised form: June 12, 2010
Published electronically: October 4, 2010
Additional Notes: Research supported by NSERC Discovery Grant OGP0105392.
Dedicated: In memoriam of Julius Borcea
Article copyright: © Copyright 2010 American Mathematical Society
The copyright for this article reverts to public domain 28 years after publication.

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