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E-grāmata: Analytic Combinatorics in Several Variables

(University of Massachusetts, Amherst), (University of Waterloo, Ontario), (University of Pennsylvania)
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Discrete structures, like DNA sequences and the internet, are complex objects created from indivisible parts. Now more accessible to graduate students, this book introduces multivariate generating functions, which are used to create computational tools to detect and understand patterns in such structures.

Discrete structures model a vast array of objects ranging from DNA sequences to internet networks. The theory of generating functions provides an algebraic framework for discrete structures to be enumerated using mathematical tools. This book is the result of 25 years of work developing analytic machinery to recover asymptotics of multivariate sequences from their generating functions, using multivariate methods that rely on a combination of analytic, algebraic, and topological tools. The resulting theory of analytic combinatorics in several variables is put to use in diverse applications from mathematics, combinatorics, computer science, and the natural sciences. This new edition is even more accessible to graduate students, with many more exercises, computational examples with Sage worksheets to illustrate the main results, updated background material, additional illustrations, and a new chapter providing a conceptual overview.

Recenzijas

'A definitive treatment of a challenging but very useful subject. There is a wide variety of situations calling for the estimation of the coefficients of a multivariate generating function. The authors have done a superb job of classifying and elucidating the myriad of available techniques for achieving this aim.' Richard P. Stanley, University of Miami 'This book is an invaluable resource that is certain to have dramatic impact on research and teaching in this rapidly developing area of mathematics. The first edition broke new ground; this edition prepares the field for others to harvest new knowledge with important applications in many scientific disciplines.' Robert Sedgewick, Princeton University

Papildus informācija

Introduces the theory of multivariate generating functions, with new exercises, computational examples, and a conceptual overview chapter.
Part I. Combinatorial Enumeration:
1. Introduction;
2. Generating
functions;
3. Univariate asymptotics; Part II. Mathematical Background:
4.
FourierLaplace integrals in one variable;
5. Multivariate FourierLaplace
integrals;
6. Laurent series, amoebas, and convex geometry; Part III.
Multivariate Enumeration:
7. Overview of analytic methods for multivariate
generating functions;
8. Effective computations and ACSV;
9. Smooth point
asymptotics;
10. Multiple point asymptotics;
11. Cone point asymptotics;
12.
Combinatorial applications;
13. Challenges and extensions; Appendices: A.
Integration on manifolds; B. Algebraic topology; C. Residue forms and
classical Morse theory; D. Stratification and stratified Morse theory;
References; Author index; Subject index.
Robin Pemantle is Merriam Term Professor of Mathematics at the University of Pennsylvania, working in the fields of probability theory and combinatorics. He received his bachelor's degree from Berkeley and his Ph.D. from MIT. He is a Fellow of the AMS and IMS and a winner of the Rollo Davidson Prize. Mark C. Wilson is Senior Teaching Faculty at the College of Information and Computer Sciences at the University of Massachusetts, Amherst. He received his Ph.D. in mathematics from the University of WisconsinMadison. He is Editor-in-Chief of 'Notices of the American Mathematical Society' and life member of the Combinatorial Mathematics Society of Australasia. Stephen Melczer is Assistant Professor in the Department of Combinatorics and Optimization at the University of Waterloo. He received doctorates from the École normale supérieure de Lyon and the University of Waterloo. He is a recipient of a Governor General Silver Academic Medal and previously published the textbook 'An Invitation to Analytic Combinatorics.'