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MATH3320 Analysis 2 Honours: Topology, Lebesgue Integration and Hilbert Spaces

Later Year Course

Offered By Department of Maths
Academic Career Undergraduate
Course Subject Mathematics
Offered in First Semester, 2010 and First Semester, 2011
Unit Value 6 units
Course Description

This course is intended both for mathematics students continuing to honours work and for other students using mathematics at a high level in theoretical physics, engineering and information technology, and mathematical economics.
Topics to be covered will include:

  • Topological Spaces - continuity, homeomorphisms, convergence, Hausdorff spaces, compactness, connectedness, path connectedness.
  • Measure and Integration - Lebesgue outer measure, measurable sets and integration, Lebesgue integral and basic properties, convergence theorems, connection with Riemann integration, Fubini's theorem, approximation theorems for measurable sets, Lusin's theorem, Egorov's theorem, Lp spaces as Banach spaces.
  • Hilbert Spaces - elementary properties such as Cauchy Schwartz inequality and polarization, nearest point, orthogonal complements, linear operators, Riesz duality, adjoint operator, basic properties or unitary, self adjoint and normal operators, review and discussion of these operators in the complex and real setting, applications to L2 spaces and integral operators, projection operators, orthonormal sets, Bessel's inequality, Fourier expansion, Parseval's equality, applications to Fourier series.
  • Calculus in Euclidean Space - Inverse and implicit function theorems.

This is an Honours Pathway Course. It emphasises mathematical rigour and proof and develops modern analysis from an abstract viewpoint.

Learning Outcomes

On satisfying the requirements of this course, students will have the knowledge and skills to:

1. Explain the fundamental concepts of advanced analysis such as topology and Lebeque integration and their role in modern mathematics and applied contexts
2. Demonstrate accurate and efficient use of advanced analysis techniques
3. Demonstrate capacity for mathematical reasoning through analyzing, proving and explaining concepts from advanved analysis
4. Apply problem-solving using advanced analysis techniques applied to diverse situations in physics, engineering and other mathematical contexts.

Indicative Assessment

Assessment will be based on:

  • 6 or 7 assignments (total 70%; LO 1-4)
  • Take home exam (30%; LO 1-4)
Workload

36 lectures, tutorials by arrangement

 

Areas of Interest Mathematics
Requisite Statement

A mark of 60 or more in MATH2320.

Incompatibility

MATH3021

Recommended Courses Completion of MATH2405 is strongly recommended.
Consent Required Please contact admin.teaching.msi@anu.edu.au for consent to enrol in this course.
Science Group C
Academic Contact Dr John Hutchinson

The information published on the Study at ANU 2010 website applies to the 2010 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2009 website.

Updated:   13 Nov 2015 / Responsible Officer:   The Registrar / Page Contact:   Student Business Solutions