
Random Fields and Geometry by R J Adler
Since the term random ?eld has a variety of different connotations, ranging from agriculture to statistical mechanics, let us start by clarifying that, in this book, a random ?eld is a stochastic process, usually taking values in a Euclidean space, and de?ned over a parameter space of dimensionality at least 1.-
The Higher Infinite
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Fredholm Theory in Topological Vector Spaces
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Combinatorial Set Theory of C*-Algebras
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Classical Lie Algebras at Infinity
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Representation Theory of Finite Group Extensions
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Geometric Approximation Theory
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Determinants, Grobner Bases and Cohomology
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Topics in Global Real Analytic Geometry
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Mathematical Methods for Elastic Plates
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Self-Adjoint Extension Schemes and Modern Applications to Quantum Hamiltonians
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The Weierstrass Sigma Function in Higher Genus and Applications to Integrable Equations
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The Riordan Group and Applications
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Domination in Graphs: Core Concepts
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Real Algebraic Varieties
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Curvature Measures of Singular Sets
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Structure and Regularity of Group Actions on One-Manifolds
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Superconcentration and Related Topics
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Extremal Polynomials and Riemann Surfaces
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Simplicial Partitions with Applications to the Finite Element Method
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Modular Forms
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Microstructured Materials: Inverse Problems
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Projective and Cayley-Klein Geometries
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Monotone Complete C*-algebras and Generic Dynamics
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Logical Foundations of Mathematics and Computational Complexity
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Arithmetic of Quadratic Forms
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Hardy Spaces on the Euclidean Space
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Functional Analytic Techniques for Diffusion Processes
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Harnack's Inequality for Degenerate and Singular Parabolic Equations
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Structure and Geometry of Lie Groups
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Inverse Linear Problems on Hilbert Space and their Krylov Solvability
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Modular Forms: Basics and Beyond
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The Absolute Galois Group of a Semi-Local Field
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Hardy Operators, Function Spaces and Embeddings
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Positive Polynomials
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Classical Fine Potential Theory
From the reviews:
Developing good bounds for the distribution of the suprema of a Gaussian field $f$, ie., for the quantity $\Bbb{P}\{\sup_{t\in M}f(t)\ge u}$, has been for a long time both a difficult and an interesting subject of research. A thorough presentation of this problem is the main goal of the book under review, as is stated by the authors in its preface. The authors develop their results in the context of smooth Gaussian fields, where the parameter spaces $M$ are Riemannian stratified manifolds, and their approach is of a geometrical nature. The book is divided into three parts. Part I is devoted to the presentation of the necessary tools of Gaussian processes and fields. Part II concisely exposes the required prerequisites of integral and differential geometry. Finally, in part III, the kernel of the book, a formula for the expectation of the Euler characteristic function of an excursion set and its approximation to the distribution of the maxima of the field, is precisely established. The book is written in an informal style, which affords a very pleasant reading. Each chapter begins with a presentation of the matters to be addressed, and the footnotes, located throughout the text, serve as an indispensable complement and many times as historical references. The authors insist on the fact that this book should not only be considered as a theoretical adventure and they recommend a second volume where they develop indispensable applications which highlight all the power of their results. (José Rafael León for Mathematical Reviews)
"This book presents the modern theory of excursion probabilities and the geometry of excursion sets for … random fields defined on manifolds. ... The book is understandable for students … with a good background in analysis. ... The interdisciplinary nature of this book, the beauty and depth of the presented mathematical theory make it an indispensable part of every mathematical library and a bookshelfof all probabilists interested in Gaussian processes, random fields and their statistical applications." (Ilya S. Molchanov, Zentralblatt MATH, Vol. 1149, 2008)
| SKU | Unavailable |
| ISBN 13 | 9780387481128 |
| ISBN 10 | 0387481125 |
| Title | Random Fields and Geometry |
| Author | R J Adler |
| Series | Springer Monographs In Mathematics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2007-06-12 |
| Number of pages | 454 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


































