Continuum Percolation
$63.99 (C)
Part of Cambridge Tracts in Mathematics
- Authors:
- Ronald Meester, Universiteit Utrecht, The Netherlands
- Rahul Roy, Indian Statistical Institute, New Delhi
- Date Published: May 2008
- availability: Available
- format: Paperback
- isbn: 9780521062503
$
63.99
(C)
Paperback
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Many phenomena in physics, chemistry, and biology can be modeled by spatial random processes. One such process is continuum percolation, which is used when the phenomenon being modeled is made up of individual events that overlap e.g., individual raindrops that eventually make the ground evenly wet. This is a systematic, rigorous account of continuum percolation. The authors treat two models, the Boolean model and the random connection model, in detail, and they discuss related continuum models. Meester and Roy explain all important techniques and methods and apply them to obtain results on the existence of phase transitions, equality and continuity of critical densities, compressions, rarefaction, and other aspects of continuum models.
Read more- Mathematically rigorous account of the subject
- The first book on this topic
- Clearly written, self-contained, with illustrations
Reviews & endorsements
"This book is a timely synthesis of the developments in an interesting field. The approach...remains user friendly because of the excellent style and organization. The main arguments are fully explained so as to make the book self-contained. It should be very helpful for new reseachers in the area. Those with interests in related areas such as stochastic geometry and lattice percolation will appreciate having access to such a well-written account of this topic." Matthew D. Penrose, Mathematical Reviews
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×Product details
- Date Published: May 2008
- format: Paperback
- isbn: 9780521062503
- length: 252 pages
- dimensions: 229 x 152 x 15 mm
- weight: 0.38kg
- contains: 26 b/w illus.
- availability: Available
Table of Contents
Preface
1. Introduction
2. Basic methods
3. Occupancy in Poisson Boolean models
4. Vacancy in Poisson Boolean models
5. Distinguishing features of the Poisson Boolean model
6. The Poisson random-connection model
7. Models driven by general processes
8. Other continuum percolation models
References
Index.
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