Discrete Orthogonal Polynomials: Asymptotics and Applications. This item is unavailable.
Language: English
Published by Princeton University Press, Princeton NJ, 2007
- First Edition
- Softcover
- Used

Seller: Row By Row Bookshop, Sugar Grove, NC, U.S.A.Row By Row Bookshop
AbeBooks seller since May 17, 1998
Condition: Used - Good
US$ 40.00
Item description from seller
An ex-library copy of this large-format paperback. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little wear to the covers.
Seller Inventory # 063550
- Title
- Discrete Orthogonal Polynomials: Asymptotics and Applications
- Author
- Baik, J., T. Kriecherbauer, K. T.-R. McLaughlin, and P.D. Miller
- Publisher
- Princeton University Press, Princeton NJ
- Publication year
- 2007
- Condition
- Good
- Dust jacket
- No Dust Jacket
- Book Type
- Book
- Binding
- Trade Paperback
- Language
- English
- ISBN 10
- 0691127344
- ISBN 13
- 9780691127347
- Edition
- First Edition.
- Series
- Book 12 of 202: Annals of Mathematics Studies
This book describes the theory and applications of discrete orthogonal polynomials--polynomials that are orthogonal on a finite set. Unlike other books, Discrete Orthogonal Polynomials addresses completely general weight functions and presents a new methodology for handling the discrete weights case.
J. Baik, T. Kriecherbauer, K. T.-R. McLaughlin & P. D. Miller focus on asymptotic aspects of general, nonclassical discrete orthogonal polynomials and set out applications of current interest. Topics covered include the probability theory of discrete orthogonal polynomial ensembles and the continuum limit of the Toda lattice. The primary concern throughout is the asymptotic behavior of discrete orthogonal polynomials for general, nonclassical measures, in the joint limit where the degree increases as some fraction of the total number of points of collocation. The book formulates the orthogonality conditions defining these polynomials as a kind of Riemann-Hilbert problem and then generalizes the steepest descent method for such a problem to carry out the necessary asymptotic analysis.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.