Series: Progress in Mathematics, Vol. 239
2005, Approx. 300 p. 10 illus., Hardcover
ISBN: 0-8176-4397-4
About this book
Ever since the analogy between number fields and function fields
was discovered in the 19th century it has been and remains a
source of inspiration for new ideas. A deeper understanding of
this correlation could have tremendous consequences for the
search for a unified approach that has become a sort of Holy
Grail. The arrival of Arakelov's new geometry that tries to put
the archimedean places on a par with the finite ones gave a new
impetus and led to spectacular success in Faltings' hands. There
are numerous further examples where ideas or techniques from the
more geometrically-oriented world of function fields have led to
new insights in the more arithmetically-oriented world of number
fields, or vice versa.
These invited articles by leading researchers in the field
explore various aspects of the parallel worlds of function fields
and number fields. Topics range from Arakelov geometry, the
search for a theory of varieties over the field with one element,
via Eisenstein series to Drinfeld modules, and t-motives.
This volume is aimed at a wide audience of graduate students,
mathematicians, and researchers interested in geometry and
arithmetic and their connections.
Contributors include: G. Boeckle; T. van den Boogaart; H.
Brenner; F. Breuer; K. Conrad; A. Deitmar; C. Deninger; B.
Edixhoven; G. Faltings; G. Harder; U. Hartl; R. de Jong; K.
Koehler; U. Kuehn; J. Lagarias; T. Oda; R. Pink; D. Roessler; U.
Stuhler; and A. Werner.
Table of contents
Preface.- G. Boeckle.- H. Brenner.- F. Breuer and R. Pink.- K.
Conrad.- A. Deitmar.- C. Deninger and A. Werner.- B. Edixhoven
and T. van den Boogaart.- G. Faltings.- G. Harder and U. Stuhler.-
U. Hartl.- R. de Jong.- K. Koehler.- U. Kuehn.- J. Lagarias.- T.
Oda.- D. Roessler.
Series: Cornerstones
2005, Approx. 1150 p.
ISBN: 0-8176-4407-5
About this textbook
Basic Real Analysis and Advanced Real Analysis systematically
develop those concepts and tools in real analysis that are vital
to every mathematician, whether pure or applied, aspiring or
established. These works present a comprehensive treatment with a
global view of the subject, emphasizing the connections between
real analysis and other branches of mathematics.
Key topics and features:
* The development proceeds from the particular to the general,
often introducing examples well before a theory that incorporates
them
* Incorporates, in the text and especially in the problems,
material in which real analysis is used in algebra, in topology,
in complex analysis, in probability, in differential geometry,
and in applied mathematics of various kinds
* The texts include many examples and hundreds of problems, and
each provides a lengthy separate section giving hints or complete
solutions for most of the problems
Because they focus on what every young mathematician needs to
know about real analysis, the books are ideal both as course
texts and for self-study, especially for graduate students
preparing for qualifying examinations. Their scope and approach
will appeal to instructors and professors in nearly all areas of
pure mathematics, as well as applied mathematicians working in
analytic areas such as statistics, mathematical physics, and
differential equations. Indeed, their clarity and breadth make
them a welcome addition to the personal library of every
mathematician.
Written for:
Advanced undergraduates, graduate students, pure and applied
mathematicians working in analytic areas such as statisitics,
math physics, electrical engineering, and differential equations
Series: Modeling and Simulation in Science, Engineering and
Technology
2006, Approx. 200 p. 30 illus., Hardcover
ISBN: 0-8176-4395-8
About this book
This book develops methods using mathematical kinetic theory to
describe the evolution of several socio-biological systems.
Specifically, it deals with modeling and simulations of
biological systems constituted by large populations of
interacting cells, whose dynamics follow both the rules of
mechanics as well as their own ability to organize movement and
biological functions. Proposed is a new biological model focused
on the analysis of competition between cells of an aggressive
host and cells of the immune system.
Modeling in kinetic theory may represent a way to understand
phenomena of nonequilibrium statistical mechanics that is not
described by the traditional macroscopic approach. A kinetic
theory approach involves deriving suitable evolution equations
for the statistical distribution function of the microscopic
state of each element in a given system. Macroscopic information
is obtained by suitable moments of the distribution function. The
authors focus on models that refer to the Boltzmann equation (generalized
Boltzmann models) with the dynamics of populations of several
interacting individuals (kinetic population models). The book
follows the classical research line applied to modeling real
systems, linking the phenomenological observation of systems to
modeling and simulations. Computational algorithms are applied
and qualitative analysis techniques are used to identify the
prediction ability of specific models.
The book will be a valuable resource for applied mathematicians
as well as researchers in the field of biological sciences. It
may also be used for advanced graduate courses in biological
systems modeling with applications to collective social behavior,
immunology, and epidemiology.
Table of contents
Introduction to the Aims and Contents of the Book.- Mathematical
Frameworks of the Generalized Kinetic (Boltzmann) Theory.-
Modeling the Immune Competition.- Qualitative Analysis of the
Chauchy Problem.- Simulations and Biological Interpretations.-
Models with Space Structure and Macroscopic Equations.-
Conclusions and Perspectives.- Appendix.- References
Series: Progress in Mathematics, Preliminary entry 400
2007, Approx. 200 p., Hardcover
ISBN: 0-8176-3226-3
About this book
This work provides a comprehensive treatment of Toeplitz
operators and closely related mathematical theories, in
particular, star-products or deformation algebras. Toeplitz
operators are closely related to pseudodifferential operators.
They give rise to an essentially isomorphic symbolic calculus and
to much of pseudodifferential analysis, as applied to results on
propagation of singularities. Of significance is the fact that
Toeplitz operators are useful for problems in deformation
quantization. The symbolic calculus of pseudodifferential and
Toeplitz operators is also a special case of star-product. The
book will be suitable for graduate students and mathematicians in
the areas of differential geometry and operator theory.
Table of contents
Preface * Review of Microanalysis * The Bergman and Szego Kernels
* Toeplitz Operators * Symbolic Calculus and Deformation Algebras
* Bibliography * Index
Series: Progress in Nonlinear Differential Equations and Their
Applications, Preliminary entry 1101
2007, Approx. 160 p. 25 illus., Hardcover
ISBN: 0-8176-4392-3
About this book
One of the key issues related to superfluidity is the existence
of vortices. In very recent experiments on Bose?Einstein
condensates, vortices have been observed by rotating the trap
holding the atoms. In contrast to a classical fluid for which the
equilibrium velocity corresponds to solid body rotation, a
quantum fluid such as a Bose?Einstein condensate can rotate only
through the nucleation of quantized vortices. This monograph is
dedicated to the mathematical modeling of these phenomena.
One of the experiments studied focuses on rotating the trap
holding the atoms. At low velocity, no modification of the
condensate is observed, while beyond some critical value,
vortices appear in the system. There are two interesting regimes:
one close to the critical velocity where there is only one
vortex; and another one at high rotation values, for which a
dense lattice is observed. Another experiment that is studied
consists of superfluid flow around an obstacle. At low velocity,
the flow is stationary; while at larger velocity, vortices are
nucleated from the boundary of the obstacle.
The mathematical tools employed are energy estimates, Gamma
convergence, and homogenization techniques. The mathematical
analysis is made in the framework of the Gross?Pitaevskii energy.
Results are presented and open problems related to recent
experiments are explained.
Series: Monographs & Surveys in Pure & Applied Math
Volume: 135
ISBN: 158488598X
Publication Date: 8/19/2005
Number of Pages: 312
Presents up-to-date material in an accessible way
Features an in-depth discussion of infinite dimensions, focusing
on Hilbert spaces
Investigates stability for linear and nonlinear equations
Provides stability models for both finite and infinite dimensions
Includes concrete applications and reference material that is
ideal for students, researchers, engineers, and scientists
Stability of Infinite Dimensional Stochastic Differential
Equations with Applications presents up-to-date, complex material
in an accessible way. Focusing mainly on Hilbert spaces, this
book features an in-depth discussion of infinite dimensions,
including the notion of L2-stability in mean. It investigates
stability for the essential classes of linear stochastic
evolution equations. Additional material explores topics related
to the stability of nonlinear systems and equations. With various
stability models and applications for both finite and infinite
dimensions, this text is an ideal reference for graduate
students, researchers, engineers, and scientists interested in
this area.
The work can serve as a reference for mathematical researchers
and theoretical physicists interested in superfluidity and
quantum condensates, and can also complement a graduate seminar
in elliptic PDEs or modeling of physical experiments.
Table of Contents
Stochastic Differential Equations in Infinite Dimensions.
Stability of Linear Stochastic Differential Equations. Stability
of Non Linear Stochastic Differential Equations. Stability of
Stochastic Functional Differential Equations. Some Related Topics
of Stability and Applications.