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Author: Roger A. Horn
Publisher: Cambridge University Press
Published: 1994-06-24
Total Pages: 620
ISBN-13: 9780521467131
DOWNLOAD EBOOK →This book treats several topics in matrix theory not included in its predecessor volume, Matrix Analysis.
Author: Roger A. Horn
Publisher: Cambridge University Press
Published: 1990-02-23
Total Pages: 580
ISBN-13: 9780521386326
DOWNLOAD EBOOK →Matrix Analysis presents the classical and recent results for matrix analysis that have proved to be important to applied mathematics.
Author: Roger A. Horn
Publisher: Cambridge University Press
Published: 2012-10-22
Total Pages: 662
ISBN-13: 9780521548236
DOWNLOAD EBOOK →Linear algebra and matrix theory are fundamental tools in mathematical and physical science, as well as fertile fields for research. This new edition of the acclaimed text presents results of both classic and recent matrix analysis using canonical forms as a unifying theme, and demonstrates their importance in a variety of applications. The authors have thoroughly revised, updated, and expanded on the first edition. The book opens with an extended summary of useful concepts and facts and includes numerous new topics and features, such as: - New sections on the singular value and CS decompositions - New applications of the Jordan canonical form - A new section on the Weyr canonical form - Expanded treatments of inverse problems and of block matrices - A central role for the Von Neumann trace theorem - A new appendix with a modern list of canonical forms for a pair of Hermitian matrices and for a symmetric-skew symmetric pair - Expanded index with more than 3,500 entries for easy reference - More than 1,100 problems and exercises, many with hints, to reinforce understanding and develop auxiliary themes such as finite-dimensional quantum systems, the compound and adjugate matrices, and the Loewner ellipsoid - A new appendix provides a collection of problem-solving hints.
Author: Rajendra Bhatia
Publisher: Springer Science & Business Media
Published: 2013-12-01
Total Pages: 360
ISBN-13: 1461206537
DOWNLOAD EBOOK →This book presents a substantial part of matrix analysis that is functional analytic in spirit. Topics covered include the theory of majorization, variational principles for eigenvalues, operator monotone and convex functions, and perturbation of matrix functions and matrix inequalities. The book offers several powerful methods and techniques of wide applicability, and it discusses connections with other areas of mathematics.
Author: Terence Tao
Publisher: American Mathematical Soc.
Published: 2012-03-21
Total Pages: 298
ISBN-13: 0821874306
DOWNLOAD EBOOK →The field of random matrix theory has seen an explosion of activity in recent years, with connections to many areas of mathematics and physics. However, this makes the current state of the field almost too large to survey in a single book. In this graduate text, we focus on one specific sector of the field, namely the spectral distribution of random Wigner matrix ensembles (such as the Gaussian Unitary Ensemble), as well as iid matrix ensembles. The text is largely self-contained and starts with a review of relevant aspects of probability theory and linear algebra. With over 200 exercises, the book is suitable as an introductory text for beginning graduate students seeking to enter the field.
Author: Alan J. Laub
Publisher: SIAM
Published: 2005-01-01
Total Pages: 159
ISBN-13: 0898715768
DOWNLOAD EBOOK →"Prerequisites for using this text are knowledge of calculus and some previous exposure to matrices and linear algebra, including, for example, a basic knowledge of determinants, singularity of matrices, eigenvalues and eigenvectors, and positive definite matrices. There are exercises at the end of each chapter."--BOOK JACKET.
Author: Fumio Hiai
Publisher: Springer Science & Business Media
Published: 2014-02-06
Total Pages: 337
ISBN-13: 3319041509
DOWNLOAD EBOOK →Matrices can be studied in different ways. They are a linear algebraic structure and have a topological/analytical aspect (for example, the normed space of matrices) and they also carry an order structure that is induced by positive semidefinite matrices. The interplay of these closely related structures is an essential feature of matrix analysis. This book explains these aspects of matrix analysis from a functional analysis point of view. After an introduction to matrices and functional analysis, it covers more advanced topics such as matrix monotone functions, matrix means, majorization and entropies. Several applications to quantum information are also included. Introduction to Matrix Analysis and Applications is appropriate for an advanced graduate course on matrix analysis, particularly aimed at studying quantum information. It can also be used as a reference for researchers in quantum information, statistics, engineering and economics.
Author: Fuzhen Zhang
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 290
ISBN-13: 1475757972
DOWNLOAD EBOOK →This volume concisely presents fundamental ideas, results, and techniques in linear algebra and mainly matrix theory. Each chapter focuses on the results, techniques, and methods that are beautiful, interesting, and representative, followed by carefully selected problems. For many theorems several different proofs are given. The only prerequisites are a decent background in elementary linear algebra and calculus.
Author: Xian-Da Zhang
Publisher: Cambridge University Press
Published: 2017-10-05
Total Pages: 761
ISBN-13: 1108417418
DOWNLOAD EBOOK →The theory, methods and applications of matrix analysis are presented here in a novel theoretical framework.
Author: Carl D. Meyer
Publisher: SIAM
Published: 2000-06-01
Total Pages: 729
ISBN-13: 0898714540
DOWNLOAD EBOOK →This book avoids the traditional definition-theorem-proof format; instead a fresh approach introduces a variety of problems and examples all in a clear and informal style. The in-depth focus on applications separates this book from others, and helps students to see how linear algebra can be applied to real-life situations. Some of the more contemporary topics of applied linear algebra are included here which are not normally found in undergraduate textbooks. Theoretical developments are always accompanied with detailed examples, and each section ends with a number of exercises from which students can gain further insight. Moreover, the inclusion of historical information provides personal insights into the mathematicians who developed this subject. The textbook contains numerous examples and exercises, historical notes, and comments on numerical performance and the possible pitfalls of algorithms. Solutions to all of the exercises are provided, as well as a CD-ROM containing a searchable copy of the textbook.
