REAL ANALYSIS 1 - Fall 2014

Henri Lebesgue, 1875-1941

The fall 2014 class, December 2014.

COURSE: MATH 5210-001

TIME: 9:45-11:05 TR, PLACE: Room 205 Gilbreath Hall

INSTRUCTOR: Dr. Robert Gardner, OFFICE: Room 308F of Gilbreath Hall

OFFICE HOURS: 2:05-3:00 TR PHONE: 439-6979 (Math Office 439-4349)

E-MAIL: gardnerr@etsu.edu
WEBPAGE: http://faculty.etsu.edu/gardnerr/gardner.htm

TEXT: Real Analysis, Fourth Edition, by H.L. Royden and P.M. Fitzpatrick, Prentice Hall (2010).

CLASS NOTES: We will use overheads for component of the lecture consisting of definitions, statements of theorems, and some examples. I will use the white board for additional examples and proofs of theorems. Copies of the notes are online at: http://faculty.etsu.edu/gardnerr/5210/notes1.htm. It is strongly recommended that you get printed copies of the overheads before the material is covered in class. This will save you from writing down most notes in class and you can concentrate on listening and supplementing the notes with comments which you find relevant.

ABOUT THE COURSE: This class offers a standard introduction to the theory of functions of a real variable from the measure theoretic perspective. As commented on page 1 of the third edition of Real Analysis, we will cover "a portion of the material that every graduate student in mathematics must know." Whereas the undergraduate real analysis class presents the results of calculus from a rigorous perspective, we will introduce fundamentally new ideas which are basic extensions of the results from calculus. In particular, we will put a weight or "measure" on certain sets of real numbers. This measure will be used to define a new type of integral called the Lebesgue integral. Recall that a function is Riemann integrable if and only if it is discontinuous on a "small" set (namely, a set of measure zero). The Lebesgue integral is much more flexible and will allow us to integrate a much larger class of functions. In addition, we will have a number of "convergence theorems" related to the Lebesgue integral, which are not true in the setting of Riemann integration. The fourth edition of Real Analysis states on page x that "The general theory of measure and integration was born in the early twentieth century. It is now an indispensable ingredient in remarkably diverse areas of mathematics, including probability theory, partial differential equation, functional analysis, harmonic analysis, and dynamical systems. Indeed, it has become a unifying concept."

GRADING: We will have two tests (T1 and T2) and homework (HW) will be taken up a regular intervals (weekly). Your average will be computed as follows:

AVERAGE = (T1 + T2 + 2HW)/4.
Grades will be assigned based on a 10 point scale with "plus" and "minus" grades being assigned as appropriate (which means, based on how the university assigns grade points, 3 point intervals for plus and minus grades - for example, an A- corresponds to percentage grades of 90, 91, and 92).

A NOTE ABOUT HOMEWORK: While I suspect that you may work with each other on the homework problems (in fact, I encourage you to), I expect that the work you turn in is your own and that you understand it. Several of the homework problems are fairly standard for this class, and you may find proofs online. However, the online proofs may not be done with the notation, definitions, and specific methods which we are developing and, therefore, are not acceptable for this class. Your homework grade will also reflect how clearly you write up your solution and document your claims.

TENTATIVE OUTLINE:
The Riemann-Lebesgue Theorem
Riemann integral, measure zero set, oscillation, uniform convergence, convergence theorems.
Chapter 1: The Real Numbers (Section 4)
σ-algebras of sets, Borel sets, Fσ and Gδ sets.
Chapter 2: Lebesgue Measure
outer measure, measurable sets, inner approximation, Lebesgue measure, nonmeasurable set, Banach-Tarski Paradox, Cantor set and Cantor-Lebesgue Function.
Axiom of Choice: More Axiom of Choice and the Banach-Tarski Paradox.
Chapter 3: Lebesgue Measurable Functions
measurable functions, characteristic functions, approximation, Littlewood's principles, Egoroff's Theorem, Lusin's Theorem.
Chapter 4: Lebesgue Integration
Riemann integral, step functions, simple functions, Lebesgue integral of a bounded function, Bounded Convergence Theorem, Fatou's Lemma, Monotone Convergence Theorem, Lebesgue Dominated Convergence Theorem, general Lebesgue integral, uniform integrability.

SUPPLEMENTS
  1. The notes for the "Meaning of Mathematics" lecture are also online at: Meaning of Mathematics.
  2. The Riemann-Lebesgue Theorem handout is online at: PDF and PS.
  3. Axiom of Choice handout is online at: PDF and PostScript.
  4. Banach-Tarski Paradox handout is online at: PDF and PostScript.
  5. A handout is available which discusses the inner measure approach to countable additivity: Measure Theory. The last few pages are still a rough draft.
  6. To access the Mathematical Reviews: Go to the Sherrod Library online catalog. Click the "Title" tab and enter "Mathematical Reviews." Select "MathSciNet [Electronic Resource]" and follow the links. You will be asked to enter your user ID and password (the same you use for your ETSU e-mail). You are then redirected to MathSciNet and can freely use it and even download PDF versions of some of the papers you find! Of course, this protocol will work for any electronic journal available through the Sherrod Library.
  7. The syllabus for Real Analysis 2 in spring 2015 is here.

IMPORTANT DATES:

Homework
Section
Problems
Solutions
Due Date
Points
1.4 Borel Sets
Proposition 13, 1.35, 1.58c ("Borel" part), BONUS: 1.56 PDF, LaTeX
Solutions PDF, LaTeX
Wednesday, 9/10 at 4:00
5 + 5 + 5 + (5) = 15 + (5)
2.1 Introduction
2.2 Lebesgue Outer Measure
2.2, 2.3
2.6, 2.7, 2.9 PDF, LaTeX
Solutions PDF, LaTeX
Friday, 9/19 at 1:30
5 + 5 + 5 + 5 + 5 = 25
2.3 The σ-Algebra of Lebesgue Measurable Sets.
2.4 Outer and Inner Approximation of Lebesgue Measurable Sets.
2.14, 2.15
2.17, 2.18 PDF, LaTeX
Solutions PDF, LaTeX
Friday, 9/26 at 1:30
5 + 5 + 5 + 5 = 20
2.4 Outer and Inner Approximation of Lebesgue Measurable Sets.
2.5 Countable Additivity, Continuity, and Borel-Cantelli Lemma
2.19
2.24, 2.26 PDF, LaTeX
Solutions PDF, LaTeX
Friday, 10/3 at 1:30
5 + 5 + 5 = 15
2.6 Nonmeasurable Sets.
Problem A, Problem B, Problem C PDF, LaTeX
Solutions PDF, LaTeX
Friday, 10/10 at 1:30
5 + 5 + 5 = 15
3.1 Sums, Product, and Compositions.
3, 4, 5, Bonus: 7 PDF, LaTeX
Solutions PDF, LaTeX
Friday, 10/24 at 1:30
5 + 5 + 5 + (5) = 15 + (5)
3.2 Sequential Pointwise Limits and Simple Approximation.
12, 14, 15 PDF, LaTeX
Solutions PDF, LaTeX
Friday, 10/31 at 1:30
5 + 5 + 5 = 15
4.2 Lebesgue Integration.
9, 11, 16 PDF, LaTeX
Solutions PDF, LaTeX
Friday, 11/7 at 1:30
5 + 5 + 5 = 15
4.3 Measurable Nonnegative Functions.
17, 26, 27; Bonus: 26(i), 26(ii) PDF, LaTeX
Solutions PDF, LaTeX
Monday, 11/17 at 1:30
5 + 5 + 5 + (10) = 15 + (10)
4.4 The General Lebesgue Integral.
30, 32, 33, 34 PDF, LaTeX
Solutions PDF, LaTeX
Wednesday, 11/26 at noon
5 + 5 + 5 + 5 = 20
4.5 Countable Additivity and Continuity of Integration.
37, 39(ii) PDF, LaTeX
Solutions PDF, LaTeX
Tuesday, 12/9 at 3:00
5 + 5 = 10
TOTAL
-
-
-
180 + (20)
The numbers in parentheses represent bonus problems.


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Last updated: December 14, 2014.