MATH 4280
Measure Theory
Winter 2014

This is the homepage for MATH 4280 (Measure Theory). This page will be updated throughout the term with information for our course, including homework assignments, review materials, and more.

Announcements

  • Selected solutions for Assignment 8 have been posted.
  • Assignment 8 has been posted.
Course Information

Course meets every TR from 2:00 p.m. - 3:50 p.m. in Nagel Hall 102.

Instructor: Ronnie Pavlov
Office: Aspen Hall 715C
e-mail: rpavlov@du.edu
Phone: (303)-871-4001
Office hours: Tuesday 9-10 and 11-12, Thursday 11-12, or by appointment.

Text

Text: Real Analysis: Modern Techniques and Their Applications, 2nd edition, by Gerald Folland.

This book is available at the DU Bookstore.

Course summary

We will cover introductory aspects of measure theory. In particular, we'll discuss what a measure is, what it can be used for, and how one can construct them. We'll define measurability and integrability of functions from this new viewpoint, and discuss how it yields a more general type of integration for functions from the reals to the reals than classical Riemann integration (namely, Lebesgue integration). This will allow us to revisit various topics you've seen from real analysis (such as convergence theorems, pointwise vs. uniform convergence, Fundamental Theorem of Calculus) in a greater and more useful generality. Depending on how much time remains, we may cover some more advanced topics such as L^p spaces, Fourier analysis, or Haar measures on topological groups.

A running theme throughout the course will be comparing measure-theoretic and topological properties. For instance, we'll discuss and prove Littlewood's so-called three principles of real analysis: any (Lebesgue) measurable set is "almost" a union of intervals, any (Lebesgue) measurable function is "almost" a continuous function, and any series of functions which converge pointwise converge "almost" uniformly.

The prerequisites are some course in topology/metric spaces (MATH 3110/4110 or MATH 3260/4110) and real analysis (MATH 3161). If you are not sure whether you are a good candidate for the class, please feel free to come talk to me.


Grading scheme

Your term grade will consist of homework assignments, two midterm exams, and one final exam, broken down in the following way:

30% Homework
30% Midterm Exam
40% Final Exam


Homework


Exams

You will have one midterm exams on Thursday, February 6th and final exam on Thursday, March 13th. All exams will be in our classroom during classtime (2:00 p.m. - 3:50 p.m.)


Course Policies

Coming soon!