Random Growth Models (Hardcover)

Michael Damron

ISBN 10: 1470435535 / ISBN 13: 9781470435530

Published by American Mathematical Society, Providence, 2018

About this Item

Hardcover. The study of random growth models began in probability theory about 50 years ago, and today this area occupies a central place in the subject. The considerable challenges posed by these models have spurred the development of innovative probability theory and opened up connections with several other parts of mathematics, such as partial differential equations, integrable systems, and combinatorics. These models also have applications to fields such as computer science, biology, and physics.This volume is based on lectures delivered at the 2017 AMS Short Course ``Random Growth Models'', held January 2-3, 2017 in Atlanta, GA.The articles in this book give an introduction to the most-studied models; namely, first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation. Topics covered include asymptotic properties of infection times, limiting shape results, fluctuation bounds, and geometrical properties of geodesics, which are optimal paths for growth. Based on lectures delivered at the 2017 AMS Short Course Random Growth Models, held in 2017. The articles give an introduction to the most-studied models; first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781470435530

Bibliographic Details

• Title: Random Growth Models (Hardcover)
• Publisher: American Mathematical Society, Providence
• Publication Date: 2018
• Language: English
• ISBN 10: 1470435535
• ISBN 13: 9781470435530
• Binding: Hardcover
• Condition: new

About this title

Synopsis

The study of random growth models began in probability theory about 50 years ago, and today this area occupies a central place in the subject. The considerable challenges posed by these models have spurred the development of innovative probability theory and opened up connections with several other parts of mathematics, such as partial differential equations, integrable systems, and combinatorics. These models also have applications to fields such as computer science, biology, and physics. This volume is based on lectures delivered at the 2017 AMS Short Course Random Growth Models , held January 2 3, 2017 in Atlanta, GA. The articles in this book give an introduction to the most-studied models; namely, first- and last-passage percolation, the Eden model of cell growth, and particle systems, focusing on the main research questions and leading up to the celebrated Kardar-Parisi-Zhang equation. Topics covered include asymptotic properties of infection times, limiting shape results, fluctuation bounds, and geometrical properties of geodesics, which are optimal paths for growth.

About the Author

Edited by Michael Damron: Georgia Institute of Technology, Atlanta, GA, Firas Rassoul-Agha: University of Utah, Salt Lake City, UT, Timo Seppäläinen: University of Wisconsin, Madison, WI