Skip to main content
Elsevier
View Cart
My account

Books in Mathematics

The Mathematics collection presents a range of foundational and advanced research content across applied and discrete mathematics, including fields such as Computational Mathematics; Differential Equations; Linear Algebra; Modelling & Simulation; Numerical Analysis; Probability & Statistics.

BooksJournals

    • Introduction to Homological Algebra, 85

      • 1st Edition
      • June 28, 1979
      • Joseph J. Rotman
      • English
      • Hardback
        9 7 8 0 1 2 5 9 9 2 5 0 3
      • Paperback
        9 7 8 0 1 2 3 9 9 4 6 6 0
      • eBook
        9 7 8 0 0 8 0 8 7 4 0 1 2
      An Introduction to Homological Algebra discusses the origins of algebraic topology. It also presents the study of homological algebra as a two-stage affair. First, one must learn the language of Ext and Tor and what it describes. Second, one must be able to compute these things, and often, this involves yet another language: spectral sequences. Homological algebra is an accessible subject to those who wish to learn it, and this book is the author’s attempt to make it lovable. This book comprises 11 chapters, with an introductory chapter that focuses on line integrals and independence of path, categories and functors, tensor products, and singular homology. Succeeding chapters discuss Hom and Ⓧ; projectives, injectives, and flats; specific rings; extensions of groups; homology; Ext; Tor; son of specific rings; the return of cohomology of groups; and spectral sequences, such as bicomplexes, Kunneth Theorems, and Grothendieck Spectral Sequences. This book will be of interest to practitioners in the field of pure and applied mathematics.

    • Multivariate Analysis

      • 1st Edition
      • December 14, 1979
      • Kanti V. Mardia + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 4 7 1 2 5 2 2
      • eBook
        9 7 8 0 0 8 0 5 7 0 4 7 1
      Multivariate Analysis deals with observations on more than one variable where there is some inherent interdependence between the variables. With several texts already available in this area, one may very well enquire of the authors as to the need for yet another book. Most of the available books fall into two categories, either theoretical or data analytic. The present book not only combines the two approaches but it also has been guided by the need to give suitable matter for the beginner as well as illustrating some deeper aspects of the subject for the research worker. Practical examples are kept to the forefront and, wherever feasible, each technique is motivated by such an example.

    • Differential Geometry, Lie Groups, and Symmetric Spaces

      • 1st Edition
      • Volume 80
      • February 9, 1979
      • Sigurdur Helgason
      • English
      • Paperback
        9 7 8 0 1 2 4 1 5 7 3 1 6
      • eBook
        9 7 8 0 0 8 0 8 7 3 9 6 1
      The present book is intended as a textbook and reference work on three topics in the title. Together with a volume in progress on "Groups and Geometric Analysis" it supersedes my "Differential Geometry and Symmetric Spaces," published in 1962. Since that time several branches of the subject, particularly the function theory on symmetric spaces, have developed substantially. I felt that an expanded treatment might now be useful.

    • Rings of Differential Operators

      • 1st Edition
      • Volume 21
      • January 1, 1979
      • J.-E. Björk
      • English
      • Paperback
        9 7 8 0 4 4 4 5 5 7 1 8 6
      • eBook
        9 7 8 0 0 8 0 9 6 0 1 1 1

    • Functional Integration and Quantum Physics

      • 1st Edition
      • Volume 86
      • November 16, 1979
      • English
      • eBook
        9 7 8 0 0 8 0 8 7 4 0 2 9
      It is fairly well known that one of Hilbert’s famous list of problems is that of developing an axiomatic theory of mathematical probability theory (this problem could be said to have been solved by Khintchine, Kolmogorov, andLevy), and also among the list is the “axiomatization of physics.” What is not so well known is that these are two parts of one and the same problem, namely, the sixth, and that the axiomatics of probability are discussed in the context of the foundations of statistical mechanics. Although Hilbert could not have known it when he formulated his problems, probability theory is also central to the foundations of quantum theory. In this book, I wish to describe a very different interface between probability and mathematical physics, namely, the use of certain notions of integration in function spaces as technical tools in quantum physics. Although Nelson has proposed some connection between these notions and foundational questions, we shall deal solely with their use to answer a variety of questions inconventional quantum theory.

Related subjects

Mathematics and applied mathematics

Statistics and probability