Wow! eBook
Random Polymer Models
Author(s): Giambattista Giacomin (Author)
- Publisher: Imperial College Press
- Publication Date: 22 May 2007
- Edition: 1st
- Language: English
- Print length: 242 pages
- ISBN-10: 1860947867
- ISBN-13: 9781860947865
Book Description
This volume introduces readers to the world of disordered systems and to some of the remarkable probabilistic techniques developed in the field. The author explores in depth a class of directed polymer models to which much attention has been devoted in the last 25 years, in particular in the fields of physical and biological sciences. The models treated have been widely used in studying, for example, the phenomena of polymer pinning on a defect line, the behavior of copolymers in proximity to an interface between selective solvents and the DNA denaturation transition. In spite of the apparent heterogeneity of this list, in mathematical terms, a unified vision emerges. One is in fact dealing with the natural statistical mechanics systems built on classical renewal sequences by introducing one-body potentials. This volume is also a self-contained mathematical account of the state of the art for this class of statistical mechanics models.
Editorial Reviews
Review
The book is written very carefully and it is essentially self-contained, also thanks to the technical appendices which contain all the necessary tools of concentration of measure, random walks and renewal theory … this is an excellent review on the subject for the mathematically oriented reader, and hopefully it will also allow theoretical physicists to access the language and the literature of the probabilities’ and mathematical physicists’ community working in this field. –Journal of Statistical Physics
The book is self-contained and the chapters are almost independent. –Zentralblatt MATH
The book is very clearly and carefully written. Many of the proofs are different from (and simpler than) the proofs which originally appeared in the literature. Although the book is written from the point of view of a probabilist, people whose main interests are in combinatorics or statistical mechanics will have no difficulty following the arguments. –Mathematical Reviews
