Stony Brook - Graduate Courses - Real Analysis I - MAT 550
Real Analysis I
MAT 550
Spring Semester
Brief discussion of the measure theory
Riesz Representation Theorem
Tonelli's and Fubini's Theorems
The dual of
L
1
Radon-Nykodim Theorem
Lebesgue's Theorem
Hahn Decomposition Theorem
L
p
spaces,
convergence in measure, the dual of
L
p
Fourier series
Riemann-Lebesgue lemma
Convergence of Fourier series for differentiable functions
Parseval's formula
Functional analysis
Open mapping and closed graph theorems
Uniform boundedness principle
Hahn-Banach theorem
Existence of orthonormal bases for Hilbert spaces
Maximal operator controlling sequences of operators between Banach spaces
More measure theory
Maximal operators controlling almost everywhere convergence
The fundamental theorems of calculus for the Lebesgue integral
Change of variables of integration
Polar coordinates
Partial Differential Equations
Separation of variables
The heat equation
Laplace's equation, the fundamental solution
The strong maximum principle and the Liouville theorem
The mean-value theorem
The Poisson kernel
Approximate identities and the Weierstrass theorem on approximation by polynomials
The wave equation, d'Alembert's solution
Additional Topics
Introduction to ergodic theory
Birkhoff's Ergodic Theorem
References:
Daryl Geller,
A first graduate course in real analysis. Part II,
Solutions Custom Publishing (can be ordered from the campus bookstore);
Walter Rudin,
Principles of mathematical analysis,
3
rd
ed., McGraw-Hill, New York 1976;
Walter Rudin,
Real and complex analysis
,
3
rd
ed., McGraw-Hill, New York 1987;
Michael Taylor,
Partial differential equations
,
Springer Verlag, 1996.