Aspects of Mathematics E 36
Vieweg Verlag 2004. xii, 378 pp. 17 x 24 cm Hardc.
ISBN: 3-528-03206-5
Frobenius manifolds are complex manifolds with a multiplication
and a metric on the holomorphic tangent bundle, which satisfy
several natural conditions. This notion was defined in 1991 by
Dubrovin, motivated by physics results. Another source of
Frobenius manifolds is singularity theory. Duality between string
theories lies behind the phenomenon of mirror symmetry. One
mathematical formulation can be given in terms of the isomorphism
of certain Frobenius manifolds. A third source of Frobenius
manifolds is given by integrable systems, more precisely,
bihamiltonian hierarchies of evolutionary PDE's. As in the case
of quantum cohomology, here Frobenius manifolds are part of an a
priori much richer structure, which, because of strong
constraints, can be determined implicitly by the underlying
Frobenius manifolds. Quantum cohomology, the theory of Frobenius
manifolds and the relations to integrable systems are flourishing
areas since the early 90's. An activity was organized at the Max-Planck-Institute
for Mathematics in 2002, with the purpose of bringing together
the main experts in these areas. This volume originates from this
activity and presents the state of the art in the subject.
15 contributions from an activity at the MPI fur Mathematik:
Complex manifolds with a multiplication and a metric on the
tangent bundle. This notion was motivated by physics results.
Another source of Frobenius manifolds is singularity theory.
Quantum cohomology, the theory of Frobenius manifolds and the
relations to integrable systems are flourishing areas.
Prof. Dr. Claus Hertling, Institut fur Mathematik, Universitat
Mannheim, Germany
Prof. Dr. Matilde Marcolli, Max-Planck-Institute for Mathematics,
Bonn, Germany
This book begins with a historical essay
entitled gWill the Sun Rise Again?h and ends with a general
address entitled gMathematics and Applicationsh. The articles
cover an interesting range of topics: combinatoric probabilities,
classical limit theorems, Markov chains and processes, potential
theory, Brownian motion, Schrodinger?Feynman problems, etc. They
include many addresses presented at international conferences and
special seminars, as well as memorials to and reminiscences of
prominent contemporary mathematicians and reviews of their works.
Rare old photos of many of them enliven the book.
Contents:
On Mutually Favorable Events
On Fluctuations in Coin-Tossing
On a Stochastic Approximation Method
On the Martin Boundary for Markov Chains
A Cluster of Great Formulas
Probabilistic Methods in Markov Chains
Markov Processes with Infinities
Probability Methods in Potential Theory
Polyafs Work in Probability
Probability and Doob
In Memory of Levy and Frechet
and other papers
Readership: Graduate students, teachers and researchers in
probability and statistics.
300pp Pub. date: Scheduled Winter 2004
ISBN 981-256-012-2
ISBN 981-256-134-X(paper ed.)
This accessible book for beginners uses
intuitive geometric concepts to create abstract algebraic theory
with a special emphasis on geometric characterizations. By
applying known results to describe various geometries and their
invariants, the book presents problems concerned with linear
algebra, such as in real and complex analysis, differential
equations, differentiable manifolds, differential geometry,
Markov chains and transformation groups. The clear and inductive
approach makes this book unique among existing books on linear
algebra both in presentation and in content.
Contents:
The Affine and Linear Structures of R1, R2 and R3:
The One-Dimensional Vector Space R (or R1)
The Two-Dimensional Vector Space R2
The Three-Dimensional Vector Space R3
Readership: Upper-level undergraduates, graduate students and
lecturers.
650pp (approx.) Pub. date: Scheduled Summer 2005
ISBN 981-256-087-4
ISBN 981-256-132-3(pbk)
220 pages 1 line diagram 10 colour figures
Hardback |
ISBN:0-521-83449-X
Rippling is a radically new technique for the automation of
mathematical reasoning. It is widely applicable whenever a goal
is to be proved from one or more syntactically similar givens. It
was originally developed for inductive proofs, where the goal was
the induction conclusion and the givens were the induction
hypotheses. It has proved to be applicable to a much wider class
of tasks, from summing series via analysis to general equational
reasoning. The application to induction has especially important
practical implications in the building of dependable IT systems,
and provides solutions to issues such as the problem of
combinatorial explosion. Rippling is the first of many new search
control techniques based on formula annotation; some additional
annotated reasoning techniques are also described here. This
systematic and comprehensive introduction to rippling, and to the
wider subject of automated inductive theorem proving, will be
welcomed by researchers and graduate students alike.
Contents
Preface; 1. An introduction to rippling; 2. Varieties of
rippling; 3. Productive use of failure; 4. A formal account of
rippling; 5. The scope and limitations of rippling; 6. From
rippling to a general methodology; 7. Conclusions; Appendix 1. An
annotated calculus and a unification algorithm; Appendix 2.
Definitions of functions used in this book; Bibliography; Index.
Published December 2004
616 pages 48 line diagrams 341 exercises
Hardback
ISBN:0-521-82960-7 |
This book provides an introduction to the major mathematical
structures used in physics today. It covers the concepts and
techniques needed for topics such as group theory, Lie algebras,
topology, Hilbert space and differential geometry. Important
theories of physics such as classical and quantum mechanics,
thermodynamics, and special and general relativity are also
developed in detail, and presented in the appropriate
mathematical language. The book is suitable for advanced
undergraduate and beginning graduate students in mathematical and
theoretical physics, as well as applied mathematics. It includes
numerous exercises and worked examples, to test the reader’s
understanding of the various concepts, as well as extending the
themes covered in the main text. The only prerequisites are
elementary calculus and linear algebra. No prior knowledge of
group theory, abstract vector spaces or topology is required.
Contents
Preface; 1. Sets and structures; 2. Groups; 3. Vector spaces; 4.
Linear operators and matrices; 5. Inner product spaces; 6.
Algebras; 7. Tensors; 8. Exterior algebra; 9. Special relativity;
10. Topology; 11. Measure theory and integration; 12.
Distributions; 13. Hilbert space; 14. Quantum theory; 15.
Differential geometry; 16. Differentiable forms; 17. Integration
on manifolds; 18. Connections and curvature; 19. Lie groups and
lie algebras.
346 pages 32 line diagrams 21 half-tones 53 figures
Hardback
ISBN:0-521-84335-9
Many practical applications require the reconstruction of a
multivariate function from discrete, unstructured data. This book
gives a self-contained, complete introduction into this subject.
It concentrates on truly meshless methods such as radial basis
functions, moving least squares, and partitions of unity. The
book starts with an overview on typical applications of scattered
data approximation, coming from surface reconstruction, fluid-structure
interaction, and the numerical solution of partial differential
equations. It then leads the reader from basic properties to the
current state of research, addressing all important issues, such
as existence, uniqueness, approximation properties, numerical
stability, and efficient implementation. Each chapter ends with a
section giving information on the historical background and hints
for further reading. Complete proofs are included, making this
perfectly suited for graduate courses on multivariate
approximation and it can be used to support courses in computer
aided geometric design, and meshless methods for partial
differential equations.
Contents
1. Applications and motivations; 2. Hear spaces and multivariate
polynomials; 3. Local polynomial reproduction; 4. Moving least
squares; 5. Auxiliary tools from analysis and measure theory; 6.
Positive definite functions; 7. Completely monotine functions; 8.
Conditionally positive definite functions; 9. Compactly supported
functions; 10. Native spaces; 11. Error estimates for radial
basis function interpolation; 12. Stability; 13. Optimal
recovery; 14. Data structures; 15. Numerical methods; 16.
Generalized interpolation; 17. Interpolation on spheres and other
manifolds.
472 pages
Paperback |Dec.2004 ISBN:0-521-58631-3
Hardback |Dec.2004 ISBN:0-521-58423-X
This first part of a two-volume set offers a modern account of the representation theory of finite dimensional associative algebras over an algebraically closed field. The authors present this topic from the perspective of linear representations of finite-oriented graphs (quivers) and homological algebra. The self-contained treatment constitutes an elementary, up-to-date introduction to the subject using, on the one hand, quiver-theoretical techniques and, on the other, tilting theory and integral quadratic forms. Key features include many illustrative examples, plus a large number of end-of-chapter exercises. The detailed proofs make this work suitable both for courses and seminars, and for self-study. The volume will be of great interest to graduate students beginning research in the representation theory of algebras and to mathematicians from other fields.
Contents
0. Introduction; 1. Algebras and modules; 2. Quivers and algebras; 3. Representations and modules; 4. Auslander-Reiten theory; 5. Nakayama algebras and representation-finite group algebras; 6. Tilting theory; 7. Representation-finite hereditary algebras; 8. Tilted algebras; 9. Directing modules and postprojective components; A. Appendix. Categories functors and homology.