Course details
Semester
 Autumn 2009
 Monday, October 5th to Friday, December 11th
Hours
 Live lecture hours
 20
 Recorded lecture hours
 0
 Total advised study hours
 0
Timetable
 Tuesdays
 14:05  14:55
 Wednesdays
 14:05  14:55
Description
This couse provides an introduction to analysis in infinite dimensions with a minimum of prerequisites. The core of the course concerns operators on a Hilbert space including the continuous functional calculus for bounded selfadjoint operators. There will be an emphasis on positivity and on matrices of operators.
The course includes some basic introductory material on Banach spaces and Banach algebras. It also includes some elementary (infinite dimensional) linear algebra that is usually excluded from undergraduate curricula.
Here is a very brief list of the many further topics that this course looks forward to.
Banach space theory and Banach algebras; C^{*}algebras, von Neumann algebras and operator spaces (which may be viewed respectively as noncommutative topology, noncommutative measure theory and `quantised' functional analysis); Hilbert C^{*}modules; noncommutative probability (e.g. free probability), the theory of quantum computing, dilation theory;Unbounded Hilbert space operators, oneparameter semigroups and Schrodinger operators. And that is without starting to mention Applied Maths and Statistics applications ...
Relevant books
 G. K. Pederson, Analysis Now (Springer, 1988)
[This course may be viewed as a preparation for studying this text (which is already a classic).]  Simmonds, Introduction to Topology and Modern Analysis (McGrawHill, 1963)
[Covers far more than the course, but is still distinguished by its great accessibility.]  P.R. Halmos, Hilbert Space Problem Book (Springer, 1982)
[Collected and developed by a master expositor.]
Prerequisites
Standard undergraduate linear algebra and real and complex analysis, and basic metric space/norm topology.
Syllabus
I Preliminaries (5 lectures)
 Linear algebra, including quotient space and free vector space constructions, diagonalisation of hermitian matrices, algebras, homomorphisms and ideals, group of units and spectrum.
 Banach spaces, including dual spaces, bounded operators, bidual [and weak*topology], completion and continuous (linear) extension.
 Banach algebras, including Neumann series, continuity of inversion, spectrum, C^{*}algebra definition.
 Hilbert space geometry, including Bessel's inequality, dimension, orthogonal complementation, nearest point projection for nonempty closed convex sets.
 Miscellaneous, including Weierstrass Approximation Theorem.
 Sesquilinearity, orthogonal projection;
 RieszFrechet, adjoint operators, C^{*}property;
 Kerneladjointrange relation;
 Finite rank operators;
 Operator types: normal, unitary, selfadjoint, isometric, compact, invertible, nonnegative, uniformly positive and partially isometric;
 Fourier transform as unitary operator;
 Hardy space;
 Invertibility criteria;
 Key examples of operators, finding their spectra (shifts and multiplication operators), norm and spectrum for a selfadjoint;
 continuous functional calculus for selfadjoint operators, with key examples: squareroot and positive/negative parts.
 Polar decomposition;
 Matrices of operators, positivity in B(h+k), operator space  definition and simple examples;
 Nonnegative definite kernels, Kolmogorov decomposition;
 Tensor products;
 HilbertSchmidt operators;
 Topologies on spaces of operators (WOT, SOT, uw);
 Compact and trace class operators, duality;
 Double Commutant Theorem;
 Dilation and von Neumann's inequality;
 Two projections in general position.
Lecturer

ML
Professor Martin Lindsay
 University
 University of Lancaster
Bibliography
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Assessment
Attention needed
Assessment information will be available nearer the time.
Lectures
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