An Introduction to Hilbert SpaceCambridge University Press, 21 lug 1988 - 239 pagine This textbook is an introduction to the theory of Hilbert spaces and its applications. The notion of a Hilbert space is a central idea in functional analysis and can be used in numerous branches of pure and applied mathematics. Dr. Young stresses these applications particularly for the solution of partial differential equations in mathematical physics and to the approximation of functions in complex analysis. Some basic familiarity with real analysis, linear algebra and metric spaces is assumed, but otherwise the book is self-contained. The book is based on courses given at the University of Glasgow and contains numerous examples and exercises (many with solutions). The book will make an excellent first course in Hilbert space theory at either undergraduate or graduate level and will also be of interest to electrical engineers and physicists, particularly those involved in control theory and filter design. |
Sommario
Inner product spaces | 4 |
11 Inner product spaces as metric spaces | 6 |
12 Problems | 11 |
Normed spaces | 13 |
21 Closed linear subspaces | 15 |
22 Problems | 18 |
Hilbert and Banach spaces | 21 |
31 The space L²a b | 23 |
93 Orthogonality of eigenfunctions | 114 |
94 Problems | 115 |
Greens functions | 119 |
101 Compactness of the inverse of a SturmLiouville operator | 124 |
102 Problems | 128 |
Eigenfunction expansions | 131 |
111 Solution of the hanging chain problem | 134 |
112 Problems | 138 |
32 The closest point property | 26 |
33 Problems | 28 |
Orthogonal expansions | 31 |
41 Bessels inequality | 34 |
42 Pointwise and L² convergence | 35 |
43 Complete orthonormal sequences | 36 |
44 Orthogonal complements | 39 |
45 Problems | 42 |
Classical Fourier series | 45 |
51 The Fejér kernel | 46 |
52 Fejérs theorem | 52 |
53 Parsevals formula | 54 |
55 Problems | 55 |
Dual spaces | 59 |
61 The RieszFrechet theorem | 62 |
62 Problems | 64 |
Linear operators | 67 |
71 The Banadi space LE F | 71 |
72 Inverses of operators | 72 |
73 Adjoint operators | 75 |
74 Hermitian operators | 78 |
75 The spectrum | 80 |
76 Infinite matrices | 82 |
77 Problems | 83 |
Compact operators | 89 |
81 Hilbert Schmidt operators | 92 |
82 The spectral theorem for compact Hermitian operators | 96 |
83 Problems | 102 |
SturmLiouville systems | 105 |
92 Eigenfunctions and eigenvalues | 111 |
Positive operators and contractions | 141 |
121 Operator matrices | 144 |
122 Möbius transformations | 146 |
123 Completing matrix contractions | 149 |
124 Problems | 152 |
Hardy spaces | 157 |
131 Poissons kernel | 161 |
132 Fatous theorem | 164 |
133 Zero sets of H² functions | 169 |
134 Multiplication operators and infinite Toeplitz and Hankel matrices | 171 |
135 Problems | 174 |
Interlude complex analysis and operators in engineering | 177 |
Approximation by analytic functions | 187 |
151 The Nehari problem | 189 |
152 Hankel operators | 190 |
153 Solution of Neharis problem | 196 |
154 Problems | 200 |
Approximation by meromorphic functions | 203 |
161 The singular values of an operator | 204 |
162 Schmidt pairs and singular vectors | 206 |
163 The AdamyanArovKrein theorem | 210 |
164 Problems | 219 |
square roots of positive operators | 221 |
References | 225 |
Answers to selected problems | 226 |
Afterword | 230 |
236 | |
238 | |
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a₁ algebra analytic functions Banach space best approximation bounded linear operator Chapter closed subspace compact Hermitian operator compact operator complete orthonormal sequence complex numbers contraction converges Corollary corresponding Deduce defined Definition Let denote diagonal differential equation e₁ eigenfunctions eigenvalue of RSL eigenvalues eigenvectors engineering example exists finite-dimensional follows Fourier series function f functional analysis H₁ Hence Hermitian operator Hilbert space Hilbert-Schmidt inequality inner product space integral operator invertible K₂ L-norm L²(a Lemma Let H linear functional linear span mathematicians mathematics maximizing vector non-zero normed space operator norm orthogonal orthonormal basis polynomial positive operators Problem Proof Prove rational function respect right hand side satisfies scalar multiplication Show singular value singular vector solution space and let space H spectral theorem Sturm-Liouville system Suppose supremum norm Theorem Let unique vector space xe H
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