Krylov, N.V., University of Illinois at Chicago, IL, USA
R?ckner, M., University of Bielefeld, Germany
Zabczyk, J., Polkiej Akademii Nauk, Warsaw, Poland
Da Prato, G., Pisa, Italy
(Ed.)

Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions

Lectures given at the 2nd Session of the Centro Internazionale Matematico Estivo
(C.I.M.E.)held in Cetaro, Italy, August 24 - September 1, 1998

1999. VIII, 239 pp.
3-540-66545-5

Kolmogorov equations are second order parabolic equations with a finite or an infinite number of variables. They
are deeply connected with stochastic differential equations in finite or infinite dimensional spaces. They arise in
many fields as Mathematical Physics, Chemistry and Mathematical Finance. These equations can be studied both
by probabilistic and by analytic methods, using such tools as Gaussian measures, Dirichlet Forms, and stochastic
calculus. The following courses have been delivered: N.V. Krylov presented Kolmogorov equations coming from
finite-dimensional equations, giving existence, uniqueness and regularity results. M. R?ckner has presented an
approach to Kolmogorov equations in infinite dimensions, based on an LP-analysis of the corresponding diffusion
operators with respect to suitably chosen measures. J. Zabczyk started from classical results of L. Gross, on the
heat equation in infinite dimension, and discussed some recent results.

Keywords: Kolmogorov equations, Dirichlet forms, Ornstein-Uhlenbeck process

Contents: N.V. Krylov: On Kolmogorov's equations for finite dimensional diffusions: Solvability of Ito's
stochastic equations; Markov property of solution; Conditional version of Kolmogorov's equation; Differentiability
of solutions of stochastic equations with respect to initial data; Kolmogorov's equations in the whole space; Some
Integral approximations of differential operators; Kolmogorov's equations in domains.- M. Roeckner: LP-analysis
of finite and infinite dimensional diffusion operators: Solution of Kolmogorov equations via sectorial forms;
Symmetrizing measures; Non-sectorial cases: perturbations by divergence free vector fields; Invariant measures:
regularity, existence and uniqueness; Corresponding diffusions and relation to Martingale problems.- J. Zabczyk:
Parabolic equations on Hilbert spaces: Heat equation; Transition semigroups; Heat equation with a first order
term; General parabolic equations; Regularity and Quiqueness; Parabolic equations in open sets; Applications.

Series: Lecture Notes in Mathematics.VOL. 1715


Coates, J., University of Cambridge, UK
Greenberg, R., University of Washington, Seattle, WA, USA
Ribet, K.A., University of California, Berkeley, CA, USA
Rubin, K., Stanford University, Stanford, CA, USA
Viola, C., University of Pisa, Italy
(Ed.)

Arithmetic Theory of Elliptic Curves

Lectures given at the 3rd Session of the Centro Internazionale Matematico Estivo
(C.I.M.E.)held in Cetaro, Italy, July 12-19, 1997

1999. VIII, 260 pp.
3-540-66546-3

This volume contains the expanded versions of the lectures given by the authors at the C.I.M.E. instructional
conference held in Cetraro, Italy, from July 12 to 19, 1997. The papers collected here are broad surveys of the
current research in the arithmetic of elliptic curves, and also contain several new results which cannot be found
elsewhere in the literature. Owing to clarity and elegance of exposition, and to the background material explicitly
included in the text or quoted in the references, the volume is well suited to research students as well as to
senior mathematicians.

Keywords: elliptic curves, modular curves, complex multiplication, Iwasawa theory, Birch and Swinnerton-Dyer
conjecture

Contents: John Coates: Fragments of the GL2 Iwasawa Theory of Elliptic Curves without Complex
Multiplication.- Ralph Greenberg: Iwasawa Theory for Elliptic Curves.- Kenneth A. Ribet: Torsion Points on
Jo(N) and Galois Representations.- Karl Rubin: Elliptic Curves with Complex Multiplication and the Conjecture of
Birch and Swinnerton-Dyer.

Series: Lecture Notes in Mathematics.VOL. 1716


Lawrence, D.B., Drake University, Des Moines, IA, USA

The Economic Value of Information

1999. XV, 393 pp. 45 figs.
0-387-98706-1

This is a book about the evaluation and choice of information sources by individuals and the design and
management of information systems by organizations. The book studies the determinants of the value and cost of
information, both to the individual and to the organization, provides technqiues for the assessment of the value of
information and the comparison of informativeness among alternative sources, and presents principles for the
optimal design and management of information systems. These topics are unified by the thesis that both
information sources and information systems are valuable to the extent they contribute to better decision making.
By providing students, researchers, and practitioners with a coherent notation and framework throughout, the
book integrates the decision-theoretic approach to the evaluation of information with knowledge from Information
Science and Management Information Systems on the design, management, and cost of cooperative information
systems, thereby demonstrating the multidisciplinary applicability of a unifying approach based on decision theory.
Researchers and graduate students in economics, operations research, management information systems, and
information science will find this book useful.

Contents: Preface.- Introduction and overview.- The Value of the Informed Decision.- Measures of the Value of
Information.- The Assessment of Statistical Information.- Models with Convenient Assessment and Interpretation.-
Statistical Determinants of Information Value.- Stochastic Preference and Information Value.- Information Demand
and Procurement.- Economics of Valuable Information Systems.- References.- Acknowledgements.- Symbol
Glossary.


Schneider, P., Max-Planck-Institut f?r Astrophysik, Garching, Germany
Ehlers, J., Max-Planck-Institut f?r Gravitationsphysik, Potsdam, Germany
Falco, E.E., Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA

Gravitational Lenses

1st ed. 1992. 2nd printing 1999. XIV, 560 pp., 112 figs.
3-540-66506-4

Light observed from distant objects is found to be deflected by the gravitational field of massive objects near the
line of sight - an effect predicted by Einstein in his first paper setting forth the general theory of relativity, and
confirmed by Eddington soon afterwards. If the source of the light is sufficiently distant and bright, and if the
intervening object is massive enough and near enough to the line of sight, the gravitational field acts like a lens,
focusing the light and producing one or more bright images of the source. This book, by renowned researchers in
the field, begins by discussing the basic physics behind gravitational lenses: the optics of curved space-time. It
then derives the appropriate equations for predicting the properties of these lenses. In addition, it presents
up-to-date observational evidence for gravitational lenses and describes the particular properties of the observed
cases. The authors also discuss applications of the results to problems in cosmology.

Keywords: Gravitational Lensing, Geometrical Optics, Redshift, Gravitation, Extragalactic Cosmology, Quasars
.

Contents: Introduction.- Basic Facts and the Observational Situation.- Optics in Curved Spacetime.- Derivation
of the Lens equation.- Properties of the Lens Mapping.- Lensing Near Critical Points.- Wave Optics in
Gravitational Lensing.- Simple Lens Models.- Multiple Light Deflection.- Numerical Methods.- Statistical
Gravitational Lensing: General Considerations.- Statistical Gravitational Lensing: Applications.- Gravitational
Lenses as Astrophysical Tools.- References.- Index.

Series: Astronomy and Astrophysics Library.


Diekmann, O., University of Utrecht, The Netherlands
Durrett, R., University of Cornell, WI, USA
Hadeler, K.-P., University of T?bingen, Germany
Maini, P., Oxford University, UK
Smith, H., Arizona State University, Tempe, AZ, USA
Capasso, V., University of Milan, Milano, Italy
Diekmann, O., University of Utrecht, The Netherlands
(Eds.)

Mathematics Inspired by Biology

1999. VII, 268 pp.
3-540-66522-6

The summer school on Mathematics inspired by Biology was held at Martina Franca, Apulia, Italy in 1997. This
volume presents five series of six lectures each. The common theme is the role of structure in shaping transient
and ultimate dynamics. But the type of structure ranges from spatial (hadeler and maini in the deterministic
setting, Durrett in the stochastic setting) to physiological (Diekmann) and order (Smith). Each contribution
sketches the present state of affairs while, by including some wishful thinking, pointing at open problems that
deserve attention.

Contents: O. Diekmann: Modeling and analysing physiologically structured populations.- R. Durett: Stochastic
Spatial Models.- K.P. Hadeler: Reaction Transport Systems in Biological Modeling.- P. Maini: Mathematical
Models in Morphogenesis.- H. Smith: Dynamics of Competition.

Series: Lecture Notes in Mathematics.VOL. 1714


Cohn, P.M., University College London, UK

Introduction to Ring Theory

2000. X, 230 pp. 12 figs.
1-85233-206-9

Most parts of algebra have undergone great changes this century, perhaps none more so than ring theory. In this
volume, Paul Cohn provides a clear and structured introduction to the subject.
After a chapter on the definition of rings and modules there are brief accounts of Artinian rings, commutative
Noetherian rings and ring constructions, such as the direct product. Tensor product and rings of fractions,
followed by a description of free rings. The reader is assumed to have a basic understanding of set theory, group
theory and vector spaces. Over two hundred carefully selected exercises are included, most with outline
solutions.

Contents: Basics.- Linear Algebras and Artinian Rings.- Noetherian Rings.- Ring Constructions.- General
Rings.- Outline Solutions.- List of Notations.- Bibliography.- Index.

Series: Springer Undergraduate Mathematics Series.


Saito, M., Hokkaido University, Sapporo, Japan
Sturmfels, B., University of California, Berkeley, CA, USA
Takayama, N., University of Kobe, Japan

Grobner Deformations of Hypergeometric Differential Equations

2000. VIII, 254 pp. 14 figs.
3-540-66065-8

In recent years, new algorithms for dealing with rings of differential operators have been discovered and
implemented. A main tool is the theory of Gr?bner bases, which is reexamined here from the point of
view of geometric deformations. Perturbation techniques have a long tradition in analysis; Gr?bner
deformations of left ideals in the Weyl algebra are the algebraic analogue to classical perturbation
techniques. The algorithmic methods introduced here are particularly useful for studying the systems of
multidimensional hypergeometric PDEs introduced by Gelfand, Kapranov and Zelevinsky. The Gr?bner
deformation of these GKZ hypergeometric systems reduces problems concerning hypergeometric
functions to questions about commutative monomial ideals, and leads to an unexpected interplay
between analysis and combinatorics. This book contains a number of original research results on
holonomic systems and hypergeometric functions, and raises many open problems for future research in
this area.

Keywords: hypergeometric functions, Gr?bner bases, holonomic systems, Weyl algebra, combinatorial
commutative algebra

Contents: Chapter 1. Basic Notions.- Chapter 2. Gr?bner Deformations of Regular Holonomic
Systems.- Chapter 3. Hypergeometric Series.- Chapter 4. Rank versus volume.- Chapter 5. Integration
of D-modules

Series: Algorithms and Computation in Mathematics.VOL. 6


Murota, K., Kyoto University, Kyoto, Japan

Matrices and Matroids for Systems Analysis

1999. XII, 483 pp., 64 figs.
3-540-66024-0

A matroid is an abstract mathematical structure that captures combinatorial properties of matrices. This book offers
a unique introduction to matroid theory, emphasizing motivations from matrix theory and applications to systems
analysis.
This book serves also as a comprehensive presentation of the theory and application of mixed matrices, developed
primarily by the present author in the last decade. A mixed matrix is a convenient mathematical tool for systems
analysis, compatible with the physical observation that "fixed constants" and "system parameters" are to be
distinguished in the description of engineering systems.
This book will be extremely useful to graduate students and researchers in engineering, mathematics and
computer science.

Keywords: matroid theory, matrix theory, systems analysis, discrete mathematics, algorithm

Series: Algorithms and Combinatorics.VOL. 20


Struwe, M., ETH Zurich, Switzerland

Variational Methods

Applications to Nonlinear Partial Differential Equations and Hamiltonian Systems

3rd ed. 2000. XVIII, 274 pp. 16 figs.
3-540-66479-3

Hilbert's talk at the second International Congress of 1900 in Paris marked the beginning of a new era in the
calculus of variations. A development began which, within a few decades, brought tremendous success,
highlighted by the 1929 theorem of Ljusternik and Schnirelman on the existence of three distinct prime closed
geodesics on any compact surface of genus zero, and the 1930/31 solution of Plateau's problem by Douglas and
Rad?. The book gives a concise introduction to variational methods and presents an overview of areas of current
research in the field. The third edition gives a survey on new developments in the field. References have been
updated and a small number of mistakes have been rectified.

Keywords: Calculus of Variations, Partial Differential Equations, Hamiltonian Systems, Mathematical Physics .

Series: Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge / A Series of Modern Surveys in
Mathematics.VOL. 34


Baden, S.B., University of California, San Diego, La Jolla, CA, USA
Chrisochoides, N.P., University of Notre Dame, IN, USA
Gannon, D.B., Indiana University, Bloomington, IN, USA
Norman, M.L., University of Illinois at Urbana-Champaign, Urbana, IL, USA
(Eds.)

Structured Adaptive Mesh Refinement (SAMR) Grid Methods

1999. Approx. 185 pp. 66 figs.
0-387-98921-8

The papers presented here describe research to improve the general understanding of the application of SAMR to
practical problems, to identify issues critical to efficient and effective implementation on high performance
computers and to stimulate the development of a community code repository for software including benchmarks to
assist in the evaluation of software and compiler technologies. The ten chapters have been divided into two parts
reflecting two major issues in the topic: programming complexity of SAMR algorithms and the applicability and
numerical challenges of SAMR methods.

Contents: Foreword.- Preface.- Part I: Programming Complexity of SAMR Algorithms. Systems engineering for
high-performance computing software: The HDDA/DAGH infrastructure for implementation of parallel structured
adaptive mesh. HAMR: The hierarchical adaptive mesh refinement system. AMR++: A design for parallel
object-oriented adaptive mesh refinement. RSL: A parallel runtime system library for regional atmospheric models
with nesting. Software abstractions and computational issues in parallel structured adaptive mesh methods for
electronic structure calculations. Structured adaptive mesh refinement using high performance fortran.- Part II:
Applicability and Numerical Challenges of SAMR Methods. The dynamics of localized coherent structures and the
role of adaptive software in multiscale modeling. Progress, results, and experiences in developing an adaptive
solver for steady state turbulent reacting flows in industrial boilers and furnaces. Making arbitrarily small black
holes: Experiences with AMR in numerical relativity. A hybrid AMR application for cosmology and astrophysics.-
List of Participants

Series: The IMA Volumes in Mathematics and its Applications.VOL. 117