9780198739128-0198739125-Symmetric Functions and Hall Polynomials (Oxford Classic Texts in the Physical Sciences)

Symmetric Functions and Hall Polynomials (Oxford Classic Texts in the Physical Sciences)

ISBN-13: 9780198739128
ISBN-10: 0198739125
Edition: 2
Author: I. G. Macdonald
Publication date: 2015
Publisher: Oxford University Press
Format: Paperback 488 pages
Category: Economics
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Book details

ISBN-13: 9780198739128
ISBN-10: 0198739125
Edition: 2
Author: I. G. Macdonald
Publication date: 2015
Publisher: Oxford University Press
Format: Paperback 488 pages
Category: Economics

Summary

Symmetric Functions and Hall Polynomials (Oxford Classic Texts in the Physical Sciences) (ISBN-13: 9780198739128 and ISBN-10: 0198739125), written by authors I. G. Macdonald, was published by Oxford University Press in 2015. With an overall rating of 4.3 stars, it's a notable title among other Economics books. You can easily purchase or rent Symmetric Functions and Hall Polynomials (Oxford Classic Texts in the Physical Sciences) (Paperback) from BooksRun, along with many other new and used Economics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.07.

Description

This reissued classic text is the acclaimed second edition of Professor Ian Macdonald's groundbreaking monograph on symmetric functions and Hall polynomials.

The first edition was published in 1979, before being significantly expanded into the present edition in 1995. This text is widely regarded as the best source of information on Hall polynomials and what have come to be known as Macdonald polynomials, central to a number of key developments in mathematics and mathematical physics in the 21st century

Macdonald polynomials gave rise to the subject of double affine Hecke algebras (or Cherednik algebras) important in representation theory. String theorists use Macdonald polynomials to attack the so-called AGT conjectures. Macdonald polynomials have been recently used to construct knot invariants. They are also a central tool for a theory of integrable stochastic models that have found a number of applications in probability, such as random matrices, directed polymers in random media, driven lattice gases, and so on.

Macdonald polynomials have become a part of basic material that a researcher simply must know if (s)he wants to work in one of the above domains, ensuring this new edition will appeal to a very broad mathematical audience.

Featuring a new foreword by Professor Richard Stanley of MIT.

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