03485nmm a2200289 u 4500001001200000003002700012005001700039007002400056008004100080020001800121100002300139245009200162250001700254260004800271300003000319505100200349653005101351653001201402653001801414710003401432041001901466989003801485490003901523856007201562082001001634520155101644EB000618470EBX0100000000000000047155200000000000000.0cr|||||||||||||||||||||140122 ||| eng a97814612113651 aCurtis, Charles W.00aLinear AlgebrahElektronische RessourcebAn Introductory Approachcby Charles W. Curtis a4th ed. 1984 aNew York, NYbSpringer New Yorkc1984, 1984 aX, 350 pbonline resource0 a1. Introduction to Linear Algebra -- 1. Some problems which lead to linear algebra -- 2. Number systems and mathematical induction -- 2. Vector Spaces and Systems of Linear Equations -- 3. Vector spaces -- 4. Subspaces and linear dependence -- 5. The concepts of basis and dimension -- 6. Row equivalence of matrices -- 7. Some general theorems about finitely generated vector spaces -- 8. Systems of linear equations -- 9. Systems of homogeneous equations -- 10. Linear manifolds -- 3. Linear Transformations and Matrices -- 11. Linear transformations -- 12. Addition and multiplication of matrices -- 13. Linear transformations and matrices -- 4. Vector Spaces with an Inner Product -- 14. The concept of symmetry -- 15. Inner products -- 5. Determinants -- 16. Definition of determinants -- 17. Existence and uniqueness of determinants -- 18. The multiplication theorem for determinants -- 19. Further properties of determinants -- 6. Polynomials and Complex Numbers -- 20. Polynomials -- 21. C aLinear and Multilinear Algebras, Matrix Theory aAlgebra aMatrix theory2 aSpringerLink (Online service)07aeng2ISO 639-2 bSBAaSpringer Book Archives -20040 aUndergraduate Texts in Mathematics uhttps://doi.org/10.1007/978-1-4612-1136-5?nosfx=yxVerlag3Volltext0 a512.5 aLinear algebra is the branch of mathematics that has grown from a care ful study of the problem of solving systems of linear equations. The ideas that developed in this way have become part of the language of much of higher mathematics. They also provide a framework for appli cations of linear algebra to many problems in mathematics, the natural sciences, economics, and computer science. This book is the revised fourth edition of a textbook designed for upper division courses in linear algebra. While it does not presuppose an earlier course, many connections between linear algebra and under graduate analysis are worked into the discussion, making it best suited for students who have completed the calculus sequence. For many students, this may be the first course in which proofs of the main results are presented on an equal footing with methods for solving numerical problems. The concepts needed to understand the proofs are shown to emerge naturally from attempts to solve concrete problems. This connection is illustrated by worked examples in almost every section. Many numerical exercises are included, which use all the ideas, and develop important techniques for problem-solving. There are also theoretical exercises, which provide opportunities for students to discover interesting things for themselves, and to write mathematical explanations in a convincing way. Answers and hints for many of the problems are given in the back. Not all answers are given, however, to encourage students to learn how to check their work