MAST90012 (620-645) |
Lecturer: Arun Ram, 174 Richard Berry, phone: 8344 6953, email: aram@unimelb.edu.au
Time and Location:
Lecture Monday 11:00 - 12:00 Richard Berry 215
Lecture Wednesday 11:00-12:00 Richard Berry 215
Lecture Thursday 11:00-12:00 Richard Berry 215
Measure Theory formalises and generalises the notion of integration. It is fundamental to many areas of mathematics and probability and has applications in other fields such as physics and economics. Students will be introduced to Lebesgue measure and integration, signed measures, the Hahn-Jordan decomposition, the Radon-Nikodym derivative, conditional expectation, Borel sets and standard Borel spaces, product measures, and the Riesz representation theorem.
The following is a week by week outline of the course.
Use the notes on the page http://researchers.ms.unimelb.edu.au/~aram@unimelb/notes.html, particularly those under the heading Topological structures.
Also use the Notes on Measure Theory, by Greg Hjorth 2010
Up to 40 pages of written assignments (40%: two assignments worth 20% each, due mid and late in semester), a 3 hour written examination (60%, in the examination period).
The plaigiarism declaration is available here.
The first homework consists of the Exercises to Chapters 1,2 and 6 of Rudin, Real and Complex Analysis, McGraw – Hill, Third Edition, 1987. -- These are due 11 April.
The second homework consists of the Exercises to Chapters 3, 4 and 5 of Rudin, Real and Complex Analysis, McGraw – Hill. Third Edition. 1987. -- due 30 May.