Mathematical Methods
Linear Algebra / Normed Spaces / Distributions / Integration
1st Edition
Published on 12. May 2014
518 pages
978-1-4832-7074-6 (ISBN)
Description
Mathematical Methods, Volume I: Linear Algebra, Normed Spaces, Distributions, Integration focuses on advanced mathematical tools used in applications and the basic concepts of algebra, normed spaces, integration, and distributions. The publication first offers information on algebraic theory of vector spaces and introduction to functional analysis. Discussions focus on linear transformations and functionals, rectangular matrices, systems of linear equations, eigenvalue problems, use of eigenvectors and generalized eigenvectors in the representation of linear operators, metric and normed vector spaces, and delta sequences and convergence and approximation. The text then examines the Lebesgue integral, including approximation of integrable functions and applications, integration of sequences and series, functions of bounded variation and the Stieltjes integral, and multiple integrals. Curves and integrals, holomorphic functions and integrals in the complex plane, and multiple integrals are also discussed. The book is a valuable reference for students in the physical sciences, mathematics students interested in applications, and mathematically oriented engineering students.
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Brian H. Chirgwin | Charles Plumpton
Mathematical Methods
A Course of Mathematics for Engineers and Scientists
E-Book
06/2014
2nd Edition
Elsevier
€70.95
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Content
¿PrefaceChapter One. Algebraic Theory of Vector Spaces 1. Vector Spaces 2. Generating Sets, Linearly Independent Sets, and Bases 3. Dimension of a Vector Space 4. Linear Transformations 5. Linear Functionals 6. Rectangular Matrices 7. Square Matrices 8. Determinants 9. Systems of Linear Equations 10. Eigenvalue Problems 11. Use of Eigenvectors and Generalized Eigenvectors in the Representation of Linear Operators 12. Further Representation Theorems for Linear Operators and Applications 13. Algebraic Theory of Tensors BibliographyChapter Two. Introduction to Functional Analysis. Distributions 1. Various Kinds of Convergence 2. Metric Spaces 3. Normed Vector Spaces 4. Completeness and Completion 5. The Banach Spaces L, LP, and C 6. Continuous Linear Functionals 7. Distributions or Generalized Functions (Part 1) 8. Distributions or Generalized Functions (Part 2) 9. Delta Sequences and Convergence and Approximation 10. Spanning Sets and Schauder Bases BibliographyChapter Three. The Lebesgue Integral and Related Topics 1. Definition of the Lebesgue Integral 2. Approximation of Integrable Functions and Applications 3. Integration of Sequences and Series 4. Lebesgue Measure 5. Functions of Bounded Variation and the Stieltjes Integral 6. Rules Based on the Use of Indefinite Integrals 7. Multiple Integrals 8. Curves and Line Integrals 9. Holomorphic Functions and Integrals in the Complex Plane BibliographySubject and Author IndexIndex of Notation
