by Frédéric Chazal (Author), Marc Glisse (Contributor), Vin de Silva (Contributor), Steve Oudot (Contributor)
This book is a comprehensive treatment of the theory of persistence modules over the real line. It presents a set of mathematical tools to analyse the structure and to establish the stability of such modules, providing a sound mathematical framework for the study of persistence diagrams. Completely self-contained, this brief introduces the notion of persistence measure and makes extensive use of a new calculus of quiver representations to facilitate explicit computations.
Appealing to both beginners and experts in the subject, The Structure and Stability of Persistence Modules provides a purely algebraic presentation of persistence, and thus complements the existing literature, which focuses mainly on topological and algorithmic aspects.
Format: Paperback
Pages: 132
Edition: 1st ed. 2016
Publisher: Springer
Published: 17 Oct 2016
ISBN 10: 3319425439
ISBN 13: 9783319425436
This book is a very nice contribution to the subject of Topological Data Analysis. In this slim volume, the novice will find a collection of main results with their proofs and many references; additionally, experts will see persistence developed more generally than usual using measure theory. ... There are many synthesizing comments throughout the text to help the reader put the material in context, and the writing itself is lucid. (Michele Intermont, MAA Reviews, October, 2017)
This monograph develops the theory of persistence modules over the real line in a manner that is well-motivated, accessible, thorough, and self-contained. (Henry Hugh Adams, Mathematical Reviews, October, 2017)
This monograph develops the theory of persistence modules over the real line in a manner that is well-motivated, accessible, thorough, and self-contained. ... In this monograph, the theory of persistence modules over the reals is presented from scratch, with the main results and their proofs in a natural framework that is convenient to learn and to use. (Henry Hugh Aams, Mathematical Reviews, 2017)