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LINEAR ALGEBRA OUTLINE 600+ Q & A WITH RATIONALES GUARANTEED A+

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1.1 Introduction There are two ways to motivate the notion of a vector: one is by means of lists of numbers and subscripts, and the other is by means of certain objects in physics. We discuss these two ways below. Here we assume the reader is familiar with the elementary properties of the field ...

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,SCHAUM’S SCHAUM’S
outlines outlines



Linear Algebra
Fourth Edition




Seymour Lipschutz, Ph.D.
Temple University


Marc Lars Lipson, Ph.D.
University of Virginia




Schaum’s Outline Series




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, Preface
Linear algebra has in recent years become an essential part of the mathematical background required by
mathematicians and mathematics teachers, engineers, computer scientists, physicists, economists, and
statisticians, among others. This requirement reflects the importance and wide applications of the subject
matter.
This book is designed for use as a textbook for a formal course in linear algebra or as a supplement to all
current standard texts. It aims to present an introduction to linear algebra which will be found helpful to all
readers regardless of their fields of specification. More material has been included than can be covered in most
first courses. This has been done to make the book more flexible, to provide a useful book of reference, and to
stimulate further interest in the subject.
Each chapter begins with clear statements of pertinent definitions, principles, and theorems together with
illustrative and other descriptive material. This is followed by graded sets of solved and supplementary
problems. The solved problems serve to illustrate and amplify the theory, and to provide the repetition of basic
principles so vital to effective learning. Numerous proofs, especially those of all essential theorems, are
included among the solved problems. The supplementary problems serve as a complete review of the material
of each chapter.
The first three chapters treat vectors in Euclidean space, matrix algebra, and systems of linear equations.
These chapters provide the motivation and basic computational tools for the abstract investigations of vector
spaces and linear mappings which follow. After chapters on inner product spaces and orthogonality and on
determinants, there is a detailed discussion of eigenvalues and eigenvectors giving conditions for representing
a linear operator by a diagonal matrix. This naturally leads to the study of various canonical forms,
specifically, the triangular, Jordan, and rational canonical forms. Later chapters cover linear functions and
the dual space V*, and bilinear, quadratic, and Hermitian forms. The last chapter treats linear operators on
inner product spaces.
The main changes in the fourth edition have been in the appendices. First of all, we have expanded
Appendix A on the tensor and exterior products of vector spaces where we have now included proofs on the
existence and uniqueness of such products. We also added appendices covering algebraic structures, including
modules, and polynomials over a field. Appendix D, ‘‘Odds and Ends,’’ includes the Moore–Penrose
generalized inverse which appears in various applications, such as statistics. There are also many additional
solved and supplementary problems.
Finally, we wish to thank the staff of the McGraw-Hill Schaum’s Outline Series, especially Charles Wall,
for their unfailing cooperation.

SEYMOUR LIPSCHUTZ
MARC LARS LIPSON




iii

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