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#
MATH 6280 3.0AF (Fall 2011)

*Measure Theory - Course outline (revised)
*

### Description:

Measure Theory is the basic language of probability theory and real analysis.
The Lebesgue spaces Lp are defined using measure theory, and these form the
key examples used in functional analysis.
This course is also one of the options for a comprehensive exam in the analysis stream.
### Prerequisites:

Undergraduate real analysis.

There are no Course Credit Exclusions.
### Course Webpage:

www.math.yorku.ca/~salt/courses/6280f11/6280.html
### Instructor/Contact Information:

Tom Salisbury
Department of Mathematics and Statistics
- Departmental office: N520 Ross Building, (416) 736-5250,
FAX: (416) 736-5757
- Undergraduate Program office: N502/503 Ross Building, (416) 736-5902
- Math/Stat lab: S525 Ross Building

### Lectures:

MWF 12:30-1:20 in Vari Hall (VH) 2000.
### Office hours:

M 11-12, W 2-3
I will try to post a notice on the course webpage if other commitments make
it necessary to reschedule one or more office hour.
If you need to see me outside these hours, you are welcome to e-mail or call
me or drop by my office to try to arrange an appointment.

### Text:

*Real Analysis* by Royden (and Fitzpatrick), 4th edition, Pearson 2010

We will cover large portions of chapters 2 - 6, 17 - 18, 20.
### Grading:

Note that the dates given for midterms and quizzes are tentative
- 25% Assignments
- 25% Midterm exam (Changed to Monday, Oct 24)
- 50% Final exam