Page 9 - Advanced Linear Algebra
P. 9

Preface to the First Edition
















            This  book  is a thorough introduction to linear algebra, for the graduate or
            advanced undergraduate student. Prerequisites are limited to a knowledge of the
            basic properties of matrices and determinants. However, since we cover the
            basics of vector spaces and linear transformations rather rapidly, a prior course
                          (
            in linear algebra  even at the sophomore level), along with a certain measure of
            “mathematical maturity,” is highly desirable.
            Chapter 0 contains a summary of certain topics in modern algebra that  are
            required for the sequel. This chapter should be skimmed quickly and then used
            primarily  as a reference. Chapters 1–3 contain a discussion of the basic
            properties of vector spaces and linear transformations.

            Chapter 4 is devoted to a discussion of modules, emphasizing a  comparison
            between the properties of modules and those of vector spaces.  Chapter  5
            provides more on modules. The main goals of this chapter are to prove that any
            two bases of a free module have the same cardinality and to  introduce
            Noetherian modules. However, the instructor may  simply  skim  over  this
            chapter, omitting all proofs. Chapter 6 is devoted to the theory of modules over
            a principal ideal domain, establishing  the cyclic decomposition theorem for
            finitely generated modules. This theorem is the key to the structure theorems for
            finite-dimensional linear operators, discussed in Chapters 7 and 8.

            Chapter 9 is devoted to real and complex inner product spaces. The emphasis
            here is on the finite-dimensional case, in order to arrive as quickly as possible at
            the finite-dimensional spectral theorem  for normal operators, in Chapter 10.
            However,  we  have endeavored to state as many results as is convenient for
            vector spaces of arbitrary dimension.

            The second part of the book consists of a collection of independent topics, with
            the one exception that Chapter 13 requires Chapter 12. Chapter 11 is on metric
            vector spaces, where we describe the structure  of  symplectic  and  orthogonal
            geometries over various base fields.  Chapter 12 contains enough  material  on
            metric  spaces to allow a unified treatment of topological issues for the basic
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