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AuthorKubrusly, Carlos S. author
TitleAn Introduction to Models and Decompositions in Operator Theory [electronic resource] / by Carlos S. Kubrusly
ImprintBoston, MA : Birkhรคuser Boston : Imprint: Birkhรคuser, 1997
Connect tohttp://dx.doi.org/10.1007/978-1-4612-1998-9
Descript XII, 132 p. online resource

SUMMARY

By a Hilbert-space operator we mean a bounded linear transformation beยญ tween separable complex Hilbert spaces. Decompositions and models for Hilbert-space operators have been very active research topics in operator theory over the past three decades. The main motivation behind them is the inยญ variant subspace problem: does every Hilbert-space operator have a nontrivial invariant subspace? This is perhaps the most celebrated open question in opยญ erator theory. Its relevance is easy to explain: normal operators have invariant subspaces (witness: the Spectral Theorem), as well as operators on finiteยญ dimensional Hilbert spaces (witness: canonical Jordan form). If one agrees that each of these (i. e. the Spectral Theorem and canonical Jordan form) is important enough an achievement to dismiss any further justification, then the search for nontrivial invariant subspaces is a natural one; and a recalcitrant one at that. Subnormal operators have nontrivial invariant subspaces (extending the normal branch), as well as compact operators (extending the finite-dimensional branch), but the question remains unanswered even for equally simple (i. e. simple to define) particular classes of Hilbert-space operators (examples: hyponormal and quasinilpotent operators). Yet the invariant subspace quest has certainly not been a failure at all, even though far from being settled. The search for nontrivial invariant subspaces has undoubtly yielded a lot of nice results in operator theory, among them, those concerning decompositions and models for Hilbert-space operators. This book contains nine chapters


CONTENT

0. Preliminaries -- 0.1. Hilbert-Space Operators -- 0.2. Spectrum of an Operator -- 0.3. Convergence and Stability -- 0.4. Projections and Isometries -- 0.5. Invariant Subspaces -- 0.6. Spectral Theorem -- 1. Equivalence -- 1.1. Parts -- 1.2. Norms -- 2. Shifts -- 2.1. Unilateral Shifts -- 2.2. Bilateral Shifts -- 3. Contractions -- 3.1. The Strong Limits of {T*nTn} and {TnT*n} -- 3.2. The Isometry V on R(A)- -- 4. Quasisimilarity -- 4.1. Invariant Subspaces -- 4.2. Hyperinvariant Subspaces -- 4.3. Contractions Quasisimilar to a Unitary Operator -- 5. Decompositions -- 5.1. Nagy-Foia?โ{128}{148}Langer Decomposition -- 5.2. von Neumann-Wold Decomposition -- 5.3. A Decomposition for Contractions with A = A2 -- 6. Models -- 6.1. Rotaโ{128}{153}s Model -- 6.2. de Branges-Rovnyak Refinement -- 6.3. Durszt Extension -- 7. Applications -- 7.1. A Pattern for Contractions -- 7.2. Foguel Decomposition -- 8. Similarity -- 8.1. Power Boundedness -- 8.2. Weak and Strong Stability -- References


Mathematics Operator theory Applied mathematics Engineering mathematics Mathematical models Mathematics Operator Theory Mathematical Modeling and Industrial Mathematics Applications of Mathematics



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