SMM Random Fields and Geometry
Preface
Since the term “random field’’ has a variety of different connotations, ranging from
agriculture to statistical mechanics, let us start by clarifying that, in this book, a
random field is a stochastic process, usually taking values in a Euclidean space, and
defined over a parameter space of dimensionality at least 1.
Consequently, random processes defined on countable parameter spaces will not
appear here. Indeed, even processes on R1 will make only rare appearances and,
from the point of view of this book, are almost trivial. The parameter spaces we like
best are manifolds, although for much of the time we shall require no more than that
they be pseudometric spaces.
With this clarification in hand, the next thing that you should know is that this
book will have a sequel dealing primarily with applications.
In fact, as we complete this book, we have already started, together with KW
(KeithWorsley), on a companion volume [8] tentatively entitled RFG-A, or Random
Fields and Geometry: Applications. The current volume—RFG—concentrates on
the theory and mathematical background of random fields, while RFG-A is intended
to do precisely what its title promises. Once the companion volume is published,
you will find there not only applications of the theory of this book, but of (smooth)
random fields in general.
Making a clear split between theory and practice has both advantages and disadvantages.
It certainly eased the pressure on us to attempt the almost impossible goal
of writing in a style that would be accessible to all. It also, to a large extent, eases the
load on you, the reader, since you can now choose the volume closer to your interests
and so avoid either “irrelevant’’mathematical detail or the “real world,’’depending on
your outlook and tastes. However, these are small gains when compared to the major
loss of creating an apparent dichotomy between two things that should, in principle,
go hand-in-hand: theory and application. What is true in principle is particularly true
of the topic at hand, and, to explain why, we shall indulge ourselves in a paragraph
or two of history.
The precusor to both of the current volumes was the 1981 monograph The Geometry
of Random Fields (GRF) which grew out of RJA’s (i.e., Robert Adler’s) Ph.D.
thesis under Michael Hasofer. The problem that gave birth to the thesis was an applied
Contents
Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v
Part I Gaussian Processes
1 Gaussian Fields . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
1.1 Random Fields . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
1.2 Gaussian Variables and Fields . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
1.3 Boundedness and Continuity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
1.4 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
1.4.1 Fields on RN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
1.4.2 Differentiability on RN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
1.4.3 The Brownian Family of Processes . . . . . . . . . . . . . . . . . . . . 24
1.4.4 Generalized Fields . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
1.4.5 Set-Indexed Processes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
1.4.6 Non-Gaussian Processes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
1.5 Majorizing Measures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
2 Gaussian Inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
2.1 Borell–TIS Inequality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
2.2 Comparison Inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
3 Orthogonal Expansions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
3.1 The General Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
3.2 The Karhunen–Loève Expansion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70
4 Excursion Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75
4.1 Entropy Bounds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76
4.2 Processes with a Unique Point of Maximal Variance . . . . . . . . . . . . . 86
4.3 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89
4.4 Extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93
13 Mean Intrinsic Volumes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331
13.1 Crofton’s Formula . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332
13.2 Mean Intrinsic Volumes: The Isotropic Case . . . . . . . . . . . . . . . . . . . 333
13.3 A Gaussian Crofton Formula . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 334
13.4 Mean Intrinsic Volumes: The General Case . . . . . . . . . . . . . . . . . . . . 342
13.5 Two Gaussian Lemmas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343
14 Excursion Probabilities for Smooth Fields . . . . . . . . . . . . . . . . . . . . . . . . 349
14.1 On Global Suprema . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 351
14.1.1 A First Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352
14.1.2 The Problem with the First Representation . . . . . . . . . . . . . . 354
14.1.3 A Second Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354
14.1.4 Random Fields . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360
14.1.5 Suprema and Euler Characteristics . . . . . . . . . . . . . . . . . . . . 362
14.2 Some Fine Tuning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365
14.3 Gaussian Fields with Constant Variance . . . . . . . . . . . . . . . . . . . . . . . 368
14.4 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 372
14.4.1 Stationary Processes on [0, T ] . . . . . . . . . . . . . . . . . . . . . . . . 372
14.4.2 Isotropic Fields with Monotone Covariance . . . . . . . . . . . . . 374
14.4.3 A Geometric Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 376
14.4.4 The Cosine Field . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382
15 Non-Gaussian Geometry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387
15.1 A Plan of Action . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389
15.2 A Representation for Mean Intrinsic Volumes . . . . . . . . . . . . . . . . . . 391
15.3 Proof of the Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392
15.4 Poincaré’s Limit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398
15.5 Kinematic Fundamental Formulas . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400
15.5.1 The KFF on Rn . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401
15.5.2 The KFF on Sλ(Rn). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402
15.6 A Model Process on the l-Sphere . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402
15.6.1 The Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403
15.6.2 Mean Curvatures for the Model Process . . . . . . . . . . . . . . . . 404
15.7 The Canonical Gaussian Field on the l-Sphere . . . . . . . . . . . . . . . . . . 410
15.7.1 Mean Curvatures for Excursion Sets . . . . . . . . . . . . . . . . . . . 411
15.7.2 Implications for More General Fields . . . . . . . . . . . . . . . . . . 415
15.8 Warped Products of Riemannian Manifolds . . . . . . . . . . . . . . . . . . . . 416
15.8.1 Warped Products . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417
15.8.2 A Second Fundamental Form . . . . . . . . . . . . . . . . . . . . . . . . . 419
15.9 Non-Gaussian Mean Intrinsic Volumes . . . . . . . . . . . . . . . . . . . . . . . . 421
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