Math 720: Measure Theory and Integration

Fall 2022

Instructor Gautam Iyer.   💼 WEH 6121. 📧 gi1242+720@cmu.edu.
Lectures MWF 2:30--3:20PM
Office Hours (instructor) Tue 3:30PM--4:50PM
TA Jiannan Jiang.  💼 WEH 6213. 📧 jiannanj@andrew.cmu.edu.
Office Hours (TA) 8:30AM--10:00AM
Homework due Thursdays, at 5:00PM on Gradescope
Midterm Fri Oct 7
Final TBA
Mailing list math-720 (for course announcements. Please subscribe.)
Discussion Board Discourse.

Course Description

This is a first graduate course on Measure Theory, and will cover the basics of measures, Lebesgue integration, differentiation, product measures and $L^p$ spaces. Time permitting we will also introduce the basics of Fourier analysis.

Learning Objectives

  • Develop familiarity with measures, Lebesgue integration, differentiation and convergence.
  • Get accustomed to the level and difficulty of math graduate courses.

Pre-requisites

  • A solid undergraduate real analysis course

Tentative Syllabus

  • Outer measures, measures, $\sigma$-algebras, Carathéodory’s extension theorem. Borel measures, Lebesgue measures.
  • Measurable functions, Lebesgue integral (Monotone Convergence Theorem, Fatou’s Lemma, Dominated Convergence Theorem).
  • Modes of Convergence (Egoroff’s Theorem, Lusin’s Theorem)
  • Product Measures (Fubini-Tonelli Theorems), $n$-dimensional Lebesgue integral
  • Signed Measures (Hahn Decomposition, Jordan Decomposition, Radon-Nikodym Theorem, change of variables)
  • Differentiation (Lebesgue Differentiation Theorem)
  • $L^p$ Spaces, Hölder’s inequality, Minkowskii’s inequality, completeness, uniform integrability, Vitali’s convergence theorem.
  • Convolutions and approximate identities.
  • If time permits, this may be followed by some special topics (e.g. Fourier Analysis, Hausdorff measure etc.).

Course Outline

  • The course will start by constructing the Lebesgue measure on $\mathbb{R}^n$, roughly following Bartle, chapters 11–16.
  • After this, we will develop integration on abstract measure spaces roughly roughly following Cohn, chapters 1–6 or Folland.
  • If time permits, I will continue with some Fourier Analysis roughly following Folland chapter 8.

References

Notes from previous years

In 2020 I taught on Zoom. My typed notes can be downloaded in a format for online viewing or eco friendly printing. I will roughly follow these notes this year, and will update them as the semester progresses. The notes mainly contain statements of theorems / lemmas, and definitions. I filled in the proofs in class, and the version with handwritten proofs can be found on the 2020 class website. Moreover, videos of the lectures are also accessible from the 2020 website, if you have a valid Andrew ID.

When I taught this course in 2013/14, two students typed their notes up and shared them. Their notes are here:

If you’d like to copy/edit these notes, the full latex source is available here, or can be cloned via git at git.math.cmu.edu/pub/201312-measure. If you edit these notes, please consider making your changes available.

Books

Since measure theory is fundamental to modern analysis, there is no dearth of references (translation: I’m not updating my notes to include proofs 😄) I’m listing a few good references here. They are all isomorphic, and you can read whatever resonates best with you. If you don’t know which one to choose, I’d suggest trying either Cohn or Folland.

  • Real Analysis by G. B. Folland. (A through, modern treatment with a few nice additional topics (topology, functional analysis, Fourier analysis and probability). Strongly recommended if you’re going to do your Ph.D. in something Analysis related.)
  • Measure theory by D. L. Cohn. (A bit easier to read, and more focussed than [Folland])
  • Real and Complex Analysis by W. Rudin. (A classic. Excellent, except for the construction of Lebesgue measure.)
  • Lebesgue integration on Euclidean space by F. Jones. (A bit verbose, and easy to read, but at a level a little lower than this course.)
  • Real analysis by H. L. Royden. (Again a great read, but a at a level a little lower than this course.)
  • If you prefer learning from lecture notes, here are some by Lenya Ryzhik and Terry Tao. The last one is available as a PDF, and also as a regular published book.

Class Policies

Lectures

  • If you must sleep, don’t snore!
  • Be courteous when you use electronic devices.

Homework

  • All homework must be scanned and turned in via Gradescope.
  • Please take good quality scans; homework that’s too hard to read won’t be graded. I recommend using a good scanning app that adjusts the contrast of your images for readability. (I use Adobe Scan myself).
  • Late homework policy:
    • Any homework turned within the first hour of the deadline will be assessed a 20% penalty. (Note, it takes a few minutes to upload your homework/exam via Gradescope. So don’t cut it too close to the deadline.)
    • Any homework turned after the first hour past the deadline will be assessed a 100% penalty (i.e. you won’t receive credit for this homework, but if practical, your homework may still be graded).
    • To account for unusual circumstances, you may turn in two assignments up to 21.5 hours late without penalty, and you may skip up to two assignments. That is, I will not assess a late penalty on the first two assignments you turn in at most 21.5 hours late, and I will drop the bottom two scores on your homework from your grade.
    • I will only consider making an exception to the above late homework policy if you have documented personal emergencies lasting at least 18 days.
  • I recommend starting the homework early. Most students will not be able to do the homework in one evening.
  • You may collaborate, use books and whatever resources you can find online in order to do the homework. However, you must write your solution up independently, and you must fully understand any solution you turn in. Turning in solutions you don’t understand will be treated as a violation of academic integrity.
  • In order to ensure academic integrity is maintained, I will call on some subset of students to explain their solutions to me outside class.
  • New material will be developed through homework problems. If you are unable to solve a particular problem, be sure to ask me or your TAs about it, or look up the solutions after they are posted.
  • Some homework problems will also appear on your exams with a devious twist. A through understanding of the solutions (even if you didn’t come up with it yourself) will invariably help you. But knowledge of the solution without understanding will almost never help you.
  • Nearly perfect student solutions may be scanned and hosted here, with your identifying information removed. If you don’t want any part of your solutions used, please make a note of it in the margin of your assignment.

Exams

  • All exams are closed book, in class.
  • No calculators, computational aids, or internet enabled devices are allowed.
  • The final time will be announced by the registrar here. Be aware of their schedule before making your travel plans.

Academic Integrity

  • All students are expected to follow the academic integrity standards outlined here.
  • There will be zero tolerance for academic integrity violations, and any violation will result in an automatic R. Examples of academic integrity violations include (but are not limited to):
    • Not writing up solutions independently and/or plagiarizing solutions.
    • Turning in solutions you do not understand.
    • Receiving assistance from another person during an exam.
    • Providing assistance to another person taking an exam.
  • All academic integrity violations will further be reported to the university, and the university may chose to impose an additional penalty.

Grading

  • If you get a C- or higher on the final, then:
    • Homework will count for 25% of your grade.
    • The midterm will count for 25% of your grade
    • The final will count for 50% of your grade.
  • If you get below a C- lower on the final, then:
    • Homework will count for 10% of your grade.
    • The midterm will count for 30% of your grade
    • The final will count for 60% of your grade.

Accommodations for Students with Disabilities

If you have a disability and have an accommodations letter from the Disability Resources office, I encourage you to discuss your accommodations and needs with me as early in the semester as possible. I will work with you to ensure that accommodations are provided as appropriate. If you suspect that you may have a disability and would benefit from accommodations but are not yet registered with the Office of Disability Resources, I encourage you to contact them at access@andrew.cmu.edu.

Student Wellness

As a student, you may experience a range of challenges that can interfere with learning, such as strained relationships, increased anxiety, substance use, feeling down, difficulty concentrating and/or lack of motivation. These mental health concerns or stressful events may diminish your academic performance and/or reduce your ability to participate in daily activities. CMU services are available, and treatment does work. You can learn more about confidential mental health services available on campus here. Support is always available (24/7) from Counseling and Psychological Services: 412-268-2922.

Faculty Course Evaluations

At the end of the semester, you will be asked to fill out faculty course evaluations. Please fill these in promptly, I value your feedback. As incentive, if over 75% of you have filled out evaluations on the last day of class, then I will release your grades as soon as they are available. If not, I will release your grades at the very end of the grading period.