Functional Analysis

ISBN-13: 9789048164196 / Angielski / Miękka / 2010 / 691 str.

E. Suhubi

Opis

Functional Analysis is primarily concerned with the structure of infinite dimensional vector spaces and the transformations, which are frequently called operators, between such spaces. The elements of these vector spaces are usually functions with certain properties, which map one set into another. Functional analysis became one of the success stories of mathematics in the 20th century, in the search for generality and unification.

Recenzje

From the reviews of the first edition:

"This is not just a textbook on functional analysis, but on much more ... . This is certainly a very interesting textbook which can be warmly recommended to students and teachers ... . The book is well-written, and the reviewer found the motivating first section of each chapter ('Scope of the Chapter') particularly useful, as well as the list of exercises at the end of each chapter." (Jürgen Appell, Zentralblatt MATH, Vol. 1088 (14), 2006)

Spis treści

Preface. I: Preliminaries. 1.1. Scope of the Chapter. 1.2. Sets. 1.3. Set Operations. 1.4. Cartesian Product. Relations. 1.5. Functions. 1.6. Inverse Functions. 1.7. Partial Ordering. 1.8. Equivalence Reaction. 1.9. Operations on Sets. 1.10. Cardinality of Sets. 1.11. Abstract Mathematical Systems. 1.12. Various Abstract Systems. Exercises. II: Linear Vector Spaces. 2.1. Scope of the Chapter. 2.2. Linear Vector Spaces. 2.3. Subspaces. 2.4. Linear Independence and Dependence. 2.5. Basis and Dimension. 2.6. Tensor Product of Linear Spaces. 2.7. Linear Transformations. 2.8. Matrix Representations of Linear Transformations. 2.9. Equivalent and Similar Linear Transformations. 2.10. Linear Functionals. Algebraic Dual. 2.11. Linear Equations. 2.12. Eigenvalues and Eigenvectors. Exercises. III: Introduction to Real Analysis. 3.1. Scope of the Chapter. 3.2. Properties of Sets of Real Numbers. 3.3. Compactness. 3.4. Sequences. 3.5. Limit and Continuity in Functions. 3.6. Differentiation and Integration. 3.7. Measure of a Set. Lesbegue Integral. Exercises. IV: Topological Spaces. 4.1. Scope of the Chapter. 4.2. Topological Structure. 4.3. Bases and Subbases. 4.4. Some Topological Concepts. 4.5. Numerical Functions. 4.6. Topological Vector Spaces. Exercises. V: Metric Spaces. 5.1. Scope of the Chapter. 5.2. The Metric and the Metric Topology. 5.3. Various Metric Spaces. 5.4. Topological Properties of Metric Spaces. 5.5. Compactness of Metric Spaces. 5.6. Contraction Mappings. 5.7. Compact Metric Spaces. 5.8. Approximation. 5.9. The Space of Fractals. Exercises. VI: Normed Spaces. 6.1. Scope of the Chapter. 6.2. Normed Spaces. 6.3. Semi-Norms. 6.4. Series of Vectors. 6.5. Bounded Linear Operators. 6.6. Equivalent Normed Spaces. 6.7. Bounded Below Operators. 6.8. Continuous Linear Functionals. 6.9. Topological Dual. 6.10. Strong and Weak Topologies. 6.11. Compact Operators. 6.12. Closed Operators. 6.13. Conjugate Operators. 6.14. Classification of Continuous Linear Operators. Exercises. VII: Inner Product Spaces. 7.1. Scope of the Chapter. 7.2. Inner Product Spaces. 7.3. Orthogonal Subspaces. 7.4. Orthonormal Sets and Fourier Series. 7.5. Duals of Hilbert Spaces. 7.6. Linear Operators in Hilbert Spaces. 7.7. Forms and Variational Equations. Exercises. VIII: Spectral Theory of Linear Operators. 8.1. Scope of the Chapter. 8.2. The Resolvent Set and the Spectrum. 8.3. The Resolvent Operator. 8.4. The Spectrum of a Bounded Operator. 8.5. The Spectrum of a Compact Operator. 8.6. Functions of Operators. 8.7. Spectral Theory in Hilbert Spaces. Exercises. IX: Differentiation of Operato