Graduate

Analysis syllabus

Algebra | Analysis | Applied & PDE | Prob & Stat | Scientific Computation | Topology

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Description

 
 

Requirements

 
 

Ph.D requirements

 
  Preliminary exams  
 

Qualifying exams

 
 
This exam will test your working knowledge of basic real, complex and functional analysis. You will be required to demonstrate an ability to use standard results and techniques to solve problems, including special cases of standard theorems which do not require long arguments.

We will not emphasize the memorization of statements of theorems nor of long proofs of standard theorems.

The student is urged to work on the problems in the relevant sections and chapters in the reference books.

The syllabus is divided into:

  • Complex Analysis
  • Real and Functional Analysis

Complex Analysis

Topics

  1. Definition of Holomorphic fuctions with examples, including logarithms, roots, and Möbius transformations;
  2. Cauchy-Riemann Equations;
  3. Power Series Expansion and applications including the Identity Theorem;
  4. Cauchy Integral Theorem;
  5. Applications of Cauchy Integral Theorem to evaluating Riemann integrals and summation of infinite series, Rouché's Theorem, The Argument Principle, Open Mapping Theorem, Liouville's Theorem, The Fundamental Theorem of Algebra;
  6. The Maximum Modulus Theorem and Applications including the Schwarz Lemma;
  7. Limit properties of Holomorphic functions including Hurwitz' Theorem.

References

[1] Ahlfors, Complex Analysis, Chapters 2,3,4,6.
[2] Conway, Functions of One Complex Variable, Chapters 1,3,4,5,6.
[3] Schaum's Outline of Complex Variables, Chapters 3-8.

Real and Functional Analysis

Topics

A. Real Analysis on the Real Line
  1. $\sigma$-algebra, Borel sets, construction of Lebesgue measure, measurable sets, Cantor set, measurable functions, $f\circ g$ is measurable if $f$ is continuous and $g$ is measurable. ([3, pp 41-58].)
  2. Convergence a.e., convergence in measure, convergence in the mean and how they are related to each other, Egorov's Theorem, Luzin's Theorem. ([1, pp 95-107].)
  3. Lebesgue integrals, Fatou's Lemma, Monotone Convergence Theorem, Lebesgue Dominated Convergence Theorem, differentiation across the integral sign ([3, Chapt. 4]); Comparison of Riemann and Lebesgue integrals ([1, pp 129- 133]); Sequence of functions with equi-absolutely continuous integrals: Vitali's Theorem on a set with finite measure ([1, pp 151-159], [4, pp 143, Exercise 10], equi-absolutely continuous integrals = uniformly continuous integrals).
  4. Set of discontinuous points and differentiabilty of a monotone function, functions of bounded variation, absolutely continuous functions, $f(x)=f(a) + \int^{x}_{a} f'(t)dt$ and its counter-example (Cantor's function). ([1, pp 204-220], [3, Chapt. 5].)
  5. $L^p$ spaces with $1\leq p \leq \infty$, Hölder inequality, Minkowski inequality, convergence in $L^p$, completeness of $L^p$ spaces, dense sets of $L^p[a, b]$ ( $1\leq p < \infty$): the set of continuous functions, the set of polynomials, the set of step funtions, orthonormal systems in $L^2[a, b]$, Bessel's inequality, completeness of orthonormal systems, Parseval's identity, Fourier trigonometric series of a funtion in $L^2[-\pi, \pi]$, Riesz Representation for bounded linear functionals on $L^p, 1\leq p < \infty$. ([3, Chapt. 6], [1, Chapt. VII].)
  6. Product measures, Fubini-Toneli Theorem ([3, Chapt. 12, Sec. 4]).
B. Functional Analysis
  1. Space of continuous functions, Weierstrass Theorem, Arzela-Ascoli Theorem ([3, Chapt. 9, Sec. 6, 7]).
  2. Contraction Mapping Theorem on complete metric spaces with applications to initial value problems of ODE and integral equations ([2, Sec. 8], [5, Sec. 3.8]).
  3. Hilbert spaces, Schwarz's inequality, orthogonal projection of a point onto a closed subspace, Riesz Representation Theorem ([4, pp 79-85], [5, Secs 6.1 and 6.2]).

References

[1]
Natanson, Theory of Functions of a Real Variable.
[2]
Kolmogorov and Fomin, Introductory Real Analysis.
[3]
Royden, Real Analysis.
[4]
Rudin, Real and Complex Analysis, 2nd edition.
[5]
Friedman, Foundations of Modern Analysis.

Mathematics Department
Tulane University
6823 St. Charles Ave
New Orleans, LA 70118
phone: (504) 865-5727
fax: (504) 865-5063
Last Updated: July 19, 2005
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