14
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Index

Bridge: Bessel - 1-36, II-15 Brownian - 1-2, II-18

pseudo- - 1-125

Brownian motion: perturbed - II-129 randomized - II-91 skew - 1-99 Walsh - II-I07

Chaos: Wiener - I-I Wiener - decomposition 1-27

Decomposition: canonical - II-34

Doob-Meyer - 11-65 non-canonical- 11-118 semimartingalc - 1-47

Decomposition of paths: Vervaat - II-17 Williams - II-33

Distribution: Arc sine - 1-99, 11-9 Beta - 1-100

Gamma - 1-100 Hartman-Watson - 1-61

Enlargements of filtrations: initial - II-33 progressive - II-41

Equation: conditional - II-73 Langevin's - 1-11

142

Skorokhod's reflection - 1-116

structure - II-102

Equivalence:

Levy's - 11-78

past and future - II-113

Excursion: Ito's - measure 1-30

Master formulae of - theory 1-30

- measures 11-15

normalized Brownian - 11-14

- theory 11-9

Filtration:

Brownian - II-117

Goswami-Rao - 11-115

Formula: agreement - II-14

balayage - II-61 Feynman-Kac - 1-86

integration by parts - I-53 Ito's - II-58

Levy's stochastic area - 1-16

Tanaka's - 1-107

Function:

confluent hypergeometric - 1-48 gamma - II-12

moderate - II-51

modified Bessel - 1-60

non-moderate II-54

Riemann zeta - 11-11 theta - 11-11

Young - II-54

Functional:

additive - 1-121,11-7

Brownian - 1-15

- equation 11-11

quadratic - 1-18

skew-multiplicative - 1-31

Identity:

Chung's - II-16

Ciesielski-Taylor - I-50

Jacobi's - 11-12

Knight's - 1-124, 11-19

Kolmogorov-Smirnov's - 11-16

Index:

- of a Bessel process II-26

- of a stable process 11-4

Inequality:

Burkholder-Gundy - II-51

Fefferman - II-57

Hardy's - 1-9

Information:

loss of - 11-114

Integral:

multiple Wiener - 1-15, II-81

stochastic - 11-32 stochastic - representation 11-104

Intertwining: 1-74,1-84, II-88

Lace: Brownian - 1-64

Lemma:

Jeulin's - 11-39

"Poincare's" - II-55

Levy:

- equivalence 1-102, 11-78

- exponent 1-71

- measure II-40

- process 11-35

INDEX

Local times: Brownian - 1-27

intersection - 1-95

Martingale: Azema's first - 11-80 Azema's second - 11-80 BMO- - II-58 Emery's - 11-87

parabolic - 11-88

spider - 11-109

Meander: Brownian - 1-41

generalized - 1-41, II-127

Norm: Luxemburg - II-54 Orlicz - II-54

Number: Gauss linking - 1-87

self-linking - 1-94

winding - 1-88

Occupation:

density of - formula 11-49 - measure 1-12 - times formula 1-27

Options: Asian - 1-68, 11-128

Polynomials: Hermite - II-82

Laguerre - 1-5

Principle: transfer - 1-27, 1-35

Process: Bessel - 1-28 Cauchy - 1-64, 11-39 Dirichlet - II-3 increasing - II-65

143

144

injective - II-72 Levy - 1-75

optional - II-62

Ornstein-Uhlenbeck - 1-16 predictable - II-62

progressively measurable - II-62

stable - II-40

Property:

regeneration - II-75

scaling - II-20, II-34

strong Markov - II-24

Quantiles: Brownian II-128

Relation: Imhof's - 1-42, II-44

Representation: Ito's martingale - II-62

Lamperti's - of a semi-stable Markov process II-93

Pitman's - of the BES(3) process 1-28, II-118

stochastic integral- II-83, II-104 Vervaat's - of the Brownian

excursion II-16

INDEX

Reversal: time - 1-28 Williams' time - II-36

Semimartingale: 1-3 - decomposition 1-47

Set: end of a predictable - II-108

saturated - II-107 Sheet:

Brownian - II-126

Snake: Brownian - II-75, II-128

Space-time: - harmonic function 1-9, II-121

Supermartingale: Azema - II-41

Supremum:

- of Brownian bridge II-16 - of Brownian excursion II-16 - of Brownian motion 1-102

Theorem: Knight's - 1-107

Time: random - II-41, II-52 stopping - II-41

PROBABILITY THEORY • STATISTICS

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Some Aspects of Brownian Motion Part I: Some Special Functionals

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The present notes represent approximately the first half of the lectures given by the author in the Nachdiplomvorlesung at the ETH (winter term 1991-92). Each chapter in the book is devoted to a particular dass of Brownian functionals: Gaussian subspaces of the Gaussian space of Brownian motion • Brownian quadratic functionals • Brownian local times • Exponential functionals of Brownian motion with drift • Winding numbers of one or several points, or straight lines, or curves • Time spent by Brownian motions below a multiple of its one-sided supremum

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Schrödinger Diffusion Processes 1996. 194 pages. Hardcover ISBN 3-7643-5386-4

In 1931 Erwin Schrödinger considered the following prob­lem: A huge e/oud of independent and identical partie/es with known dynamics is supposed to be observed at finite ini-tial and final times. What is the "most probable" state of the e/oud at intermedi­ate times?

The present book provides a general yet comprehensive discourse on Schrödinger's question. Key roles in this investigation are played by conditional diffusion pro­cesses, pairs of non-linear integral equations and interacting particles systems. The introductory first chapter gives some historical background, presents the main ideas in a rather simple discrete setting and reveals the meaning of inter­mediate prediction to quantum mechanics. In order to answer Schrödinger's ques­tion, the book takes three distinct approaches, dealt with in separate chapters: transformation by means of a multiplicative functional, projection by means of relative entropy, and variation of a functional associated to pairs of non-linear integral equations.

The book presumes a graduate level of knowledge in mathematics or physics and represen,ts a relevant and demanding application oftoday's advanced probability theory. For orders originating frorn all aver the world except USA and Canada: Birkhäuser Verlag AG P.O Box 133 CH-4010 BaseljSwitzerland Fax: +4 1/ 61/ 205 07 92 e-mail: farn [email protected]

For orders originating in the USA and Canada: Birkhäuser 333 Meadowland Parkway USA-Secaurus. NJ 07094-249 1 Fax: +1 201 3484033 e-mail: [email protected]

VISIT DUR HDMEPAGE http://www.birkhauser.ch

Birkhäuser Birkhäuser Verlag AG Basel · Boston · Berlin

PA • Probability and Its Applications

B. Fristedt / L. Gray, University of Minnesota, MN, USA

A Modern Approach to Probability Theory 1996. 776 pages. Hardcover ISBN 3-7643-3807-5

Students and teachers of mathematics, theoretical statistics and eco­nomics will find in this textbook a comprehensive and modern approach to probability theory, providing them with the background and tech-niques necessary to go from the beginning graduate level to the point of specialization in research areas of current interest. It presupposes only a rigorous advanced calculus or undergraduate real analysis course, together with a small amount of elementary linear algebra. The authors introduce the basic objects of probability theory (random variables, distributions and distribution functions, expec­tations, independence) , at the same time developing concepts from measure theory as required. They

then proceed through the standard topics in the subject, including la ws of large numbers, charac­teristic functions, centrallimit theorems, conditioning, and random walks. The latter part of the book concerns stochastic processes in both discrete and continuous time, with individual chapters being devoted to martingales, renewal sequences, Markov processes, exchangeable sequences, stationary se­quences, point processes, Levy processes, interacting particle systems, and diffusions. The treatment of these topics is sufficiently advanced to bridge the gap between standard material and specialized research monographs.

The book contains numerous examples and over 1000 exercises, illustrating the richness and variety that exists in the subject, from sophisticated results in gambling theory to concrete calculations in­volving random sets.

In order to actively involve the student in the mathematical theory, a portion of the exercises re­quest proofs of some of the easier results. All of the problems are designed to help the student pro­ceed beyond mere rote learning of theorems and proofs to a deep intuitive feel for the far-reaching im­plications of the theory. Solutions are provided for approximately 25% of the exercises.

Far orders originating frorn alt over the world except USA and Canada: Birkhäuser Verlag AG P.G Box 133 CH-4010 BaseljSwitzerland Fax: +41/61/205 07 92 e-mail: [email protected]

For orders originating in the USA and Canada: Birkhäuser 333 Meadowland Parkway USA·Secaurus, NJ 07094-2491 Fax: +1 201 348 4033 e-mail: [email protected]

VISIT DUR HDMEPAGE http://www.birkhauser.ch

Birkhäuser Birkhäuser Verlag AG Basel ' Boston ' Berlin

PA • Probability and Its Applications

A. Borodin, St. Petersburg, Russia / P. Salminen, Abo Akademi University, Turku, Finland

Handbook of Brownian Motion Facts and Formulae 1996. 476 pages. Hardcover ISBN 3-7643-5463-1

The purpose of this book is to provide

an easy reference to a large number of

facts and formulae associated with

Brownian motion. The book consists

of two parts. The first part, dealing

with theory, is devoted mainly to pro­

perties of linear diffusions in general

and Brownian motion in particular.

Results are given mainly without pro­

ofs. The second part is a table of dis­

tributions of functionals of Brownian

motion and related processes. The

collection contains more than 1500

numbered formulae.

This book is of value as basic reference

material for researchers, graduate stu­

dents, and people doing applied work

in Brownian motion and diffusions. It

can also be used as a source of expli­

cit examples when teaching stocha­

stic processes.

For orders originating from alt aver the wortd except USA and Canada: Birkhäuser Verlag AG P.O Box 133 CH-4010 Basel/Switzerland Fax: +41/61/205 07 92 e-mail: [email protected]

For orders originating in the USA and Canada: Birkhäuser 333 Meadowland Parkway USA-Secaurus, NJ 07094-2491 Fax: + 1 201 348 4033 e-mail: [email protected]

VISIT DUR HDMEPAGE http://www.birkhauser.ch

Birkhäuser Birkhäuser Verlag AG Basel ' Boston' Ber lin