Synopsis for B4a: Banach Spaces
Number of lectures: 16 MT
Course Description
Level: H-level Method of Assessment: Written examination.
Weight: Half-unit (OSS paper code 2A43)
,
,
,
, spaces of differentiable functions).
Finite-dimensional normed spaces; equivalence of norms and completeness. Separable spaces; separability of subspaces.
Continuous linear functionals. Dual spaces. Hahn–Banach Theorem (proof for real separable spaces only) and applications, including density of subspaces and separation of convex sets. Stone-Weierstrass Theorem.
Bounded linear operators, examples (including integral operators). Adjoint operators. Spectrum and resolvent. Spectral mapping theorem for polynomials.
Weight: Half-unit (OSS paper code 2A43)
Recommended Prerequisites:
Part A Topology and Integration. [From Topology, only the material on metric spaces, including closures, will be used. From Integration, the only concepts which will be used are the convergence theorems and the theorems of Fubini and Tonelli, and the notions of measurable functions and null sets. No knowledge is needed of outer measure, or of any particular construction of the integral, or of any proofs.]Learning Outcomes
Students will have a firm knowledge of real and complex normed vector spaces, with their geometric and topological properties. They will be familiar with the notions of completeness, separability and density, will know the properties of a Banach space and important examples, and will be able to prove results relating to the Hahn–Banach Theorem. They will have developed an understanding of the theory of bounded linear operators on a Banach space.Synopses
Real and complex normed vector spaces, their geometry and topology. Completeness. Banach spaces, examples (
,
,
,
, spaces of differentiable functions).Finite-dimensional normed spaces; equivalence of norms and completeness. Separable spaces; separability of subspaces.
Continuous linear functionals. Dual spaces. Hahn–Banach Theorem (proof for real separable spaces only) and applications, including density of subspaces and separation of convex sets. Stone-Weierstrass Theorem.
Bounded linear operators, examples (including integral operators). Adjoint operators. Spectrum and resolvent. Spectral mapping theorem for polynomials.
Reading List
- B.P. Rynne and M.A. Youngson, Linear Functional Analysis (Springer SUMS, 2nd edition, 2008), Chapters 2, 4, 5.
- E. Kreyszig, Introductory Functional Analysis with Applications (Wiley, revised edition, 1989), Chapters 2, 4.2–4.3, 4.5, 7.1–7.4.
Last updated by Dmitry Belyaev on Mon, 19/11/2012 - 3:00pm.
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