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School of Mathematics

MATH31001/MATH41001 - 2007/2008

General Information
  • Title: Linear Analysis
  • Unit code: MATH31001/MATH41001
  • Credits: 10 (MATH31001), 15 (MATH41001)
  • Prerequisites: MATH20101 or MATH20111, MATH20122 Metric Spaces
  • Corequisite units: None
  • School responsible: Mathematics
  • Members of staff responsible: Dr. Nikita Sidorov
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Specification

Aims

To give an introduction to Modern Analysis, including elements of functional analysis. The emphasis will be on ideas and results.

Brief Description of the unit

This course unit deals with a coherent and elegent collection of results in analysis. The aim of this course is to provide an introduction to the theory of infinite dimensional linear spaces, which is not only an important tool, but is also a central topic in modern mathematics.

This area has many applications to other areas in Pure and Applied Mathematics such as Dynamical Systems, C* algebras, Quantum Physics, Numerical Analysis, etc.

Learning Outcomes

On successful completion of this module students will be able to

Students will have seen proofs of the main results, although an intimate knowledge of the full details is not required.

Future topics requiring this course unit

This course would be useful to students interested in the following topics: MATH31011/MATH41011 Measure and Fractals MATH41112 Ergodic Theory.

Syllabus

The following is the syllabus for MATH41001. Not everything will be covered in the lectures for MATH31001. The lectures will be supplemented by additional reading for MATH41001.

  1. Revision of compactness and uniform continuity. [2 lectures]
  2. The Stone-Weierstrass Theorem. [4]
  3. Normed vector spaces. Completeness and Banach spaces. Finite dimensional spaces. [4]
  4. Sequence spaces. Continuous function spaces. Separability. Hilbert spaces, orthogonal complements and direct sum decompositions, orthonormal bases. [6]
  5. Bounded linear functionals. The Hahn-Banach theorem. Separation theorems. Dual spaces. The Riesz representation theorem for Hilbert spaces. [4]
  6. Bounded linear operators and their norms. Compact operators. Invertible operators. Spectra. [4]
  7. Linear operators on Hilbert spaces. Self-adjoint and unitary operators and their spectra. [4]

Textbooks

Teaching and learning methods

Two lectures and an examples class each week. In addition students should expect to spend at least four hours each week on private study for this course unit (seven hours for MATH41001).

Assessment

End of semester examination: two hours weighting 100% (MATH31001), three hours wighting 100% (MATH41001)

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Arrangements

Online course materials are available for this unit.

Last modified: 25 August 2007.

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