Stochastic and integral geometry

Free Download

Authors:

Edition: 1

Series: Probability and its Applications

ISBN: 3540788581, 9783540788591, 9783540788584, 3642097669, 9783642097669

Size: 3 MB (3001285 bytes)

Pages: 694/688

File format:

Language:

Publishing Year:

Category: Tags: ,

Rolf Schneider, Wolfgang Weil (auth.)3540788581, 9783540788591, 9783540788584, 3642097669, 9783642097669

Stochastic geometry has in recent years experienced considerable progress, both in its applications to other sciences and engineering, and in its theoretical foundations and mathematical expansion. This book, by two eminent specialists of the subject, provides a solid mathematical treatment of the basic models of stochastic geometry — random sets, point processes of geometric objects (particles, flats), and random mosaics. It develops, in a measure-theoretic setting, the integral geometry for the motion and the translation group, as needed for the investigation of these models under the usual invariance assumptions. A characteristic of the book is the interplay between stochastic and geometric arguments, leading to various major results. Its main theme, once the foundations have been laid, is the quantitative investigation of the basic models. This comprises the introduction of suitable parameters, in the form of functional densities, relations between them, and approaches to their estimation. Much additional information on stochastic geometry is collected in the section notes.

As a combination of probability theory and geometry, the volume is intended for readers from either field. Probabilists with interest in random spatial structures, or motivated by the prospect of applications, will find an in-depth presentation of the geometric background. Geometers can see integral geometry “at work” and may be surprised to learn how classical results from convex geometry have elegant applications in a stochastic setting.


Table of contents :
Front Matter….Pages I-XI
Prolog….Pages 1-13
Random Closed Sets….Pages 17-46
Point Processes….Pages 47-98
Geometric Models….Pages 99-163
Averaging with Invariant Measures….Pages 167-209
Extended Concepts of Integral Geometry….Pages 211-263
Integral Geometric Transformations….Pages 265-289
Some Geometric Probability Problems….Pages 293-376
Mean Values for Random Sets….Pages 377-444
Random Mosaics….Pages 445-519
Non-stationary Models….Pages 521-556
Facts from General Topology….Pages 559-574
Invariant Measures….Pages 575-596
Facts from Convex Geometry….Pages 597-635
Back Matter….Pages 637-693

Reviews

There are no reviews yet.

Be the first to review “Stochastic and integral geometry”
Shopping Cart
Scroll to Top