Third Chicago Summer School In Analysis

June 13th - June 24th, 2016

This is the third series of NSF funded summer schools in analysis at the university of Chicago. It intends to introduce advanced undergraduates as well as beginning graduate students to a broad range of topics which are important to modern analysis. This includes Partial Differential Equations, Probability and Stochastic Analysis, Harmonic Analysis and Geometric Measure Theory. The program focuses on foundational material, and should be accessible to undergraduate and graduate students with a solid background in multivariable calculus, complex variables and Lebesgue integration.

Organizers: M. Csornyei, C. Kenig, R. Fefferman, W. Schlag, P. Souganidis.

Check the poster. For questions, write to

If you want to participate in this summer school, please register here. Financial support (travel expenses, local accommodation and meals) will be available to some highly qualified applicants. Per NSF regulations, funding is restricted to US citizens and permanent residents. Housing will be available in the university dormitories only for those participants receiving financial aid. Participants who do not qualify for financial aid will be responsible for their own accommodations. The deadline to apply for financial support is on March 31st.

Schedule of lectures V New!

All lectures take place at room 112 in the Stevanovich center.

List of courses V


Minicourse by Marianna Csornyei.
On Kakeya and related problems. description

Minicourse by Carlos Kenig.
The method of layer potentials for solving the basic boundary value problems for harmonic functions on smooth domains. description

We will develop the classical method of layer potentials for smooth domains in R^n, to solve the Dirichlet and Neumann problems for harmonic functions, using the Fredholm theory. Historically, this is what led to the invention of Fredholm theory.

These are the notes.

Minicourse by Robert Fefferman.
Some Highlights in the Classical Theory of Fourier Series. description

This will be a relatively self-contained class on Fourier series. We shall investigate the basic properties of these series, as well as their convergence and divergence properties. In so doing, we shall discuss how the analysis of Fourier series relates to central areas of mathematics such as functional analysis, complex analysis and probability theory.

Prerequisites: A knowledge of Lebesgue measure and elementary complex analysis.

References: Trigonometric Series, A. Zygmund; An Introduction to Harmonic Analysis, Y. Katznelson.

Minicourse by Wilhelm Schlag.
Introduction to hyperbolic PDEs. description

The course will be an introduction to wave equations. We will discuss d'Alembert's formula, fundamental solutions in dimensions one and three, energy estimates, finite speed of propagation and light cones. For nonlinear problems we will present Klainerman's vector field method to prove long-time or global existence results for small data.


A classical and great text, challenging because it presents ideas sometimes a bit formally without following the Definition, Lemma, Theorem format. Requires work to digest, but written by a great analyst, and very rewarding if taken seriously. It is not about wave equations per se, but gives a much broader introduction.

Fritz John, Partial Differential Equations, Edition 4, Springer.

The following text is about hyperbolic equations in a wider sense, also includes symmetric hyperbolic systems, conservation laws. Emphasizes the method of characteristics and physical space methods (rather than Fourier methods which are less robust than integration by parts as we did in class to obtain energy estimates), vector fields.

Alinhac, Hyperbolic Partial Differential Equations, Universitext, Springer, 2009.

A very nice but little known text is by Ikawa, who worked on hyperbolic PDEs at Kyoto, Japan. This book is remarkable for a number of reasons, e.g., the wave equation of a string is derived in chapter 1, which also includes a discussion of Maxwell's equations (and the derivation of the wave equation for light); it is also shown from basic gas dynamics that sound waves satisfy a wave equation. It is also great for being accessible with a solid (honors) analysis background, and some functional analysis (Hilbert spaces). All details are worked out and it is very explicit and discusses concrete physical applications as well as theory.

A great analysis-heavy text on dispersive equations is the one by T. Tao, his CBMS notes. This includes Strichartz estimates and many other tools. A much shorter one is Shatah, Struwe: Geometric Wave Equations, Courant Lectures Notes, AMS.

Various online resources

A great course by Sigmund Selberg (with only minimal prerequisites other than solid multivariable calculus and some basic functional analysis).

But here is a very nice introductory PDE course by Selberg with notes, problems, answers and an exam

Bill Symes's slides are a great way to get started for seismic exploration and the math involved.

Highly recommended are also Laurent Demanet's notes, which provides more details than the previous link.

A book on geometric optics which has a lot of interesting math on hyperbolic equations is the one by Rauch

See also Jeff Rauch's web page for course notes.

Minicourse by Charles Smart.
Stochastic Differential Equations. description

I will discuss ordinary differential equations driven by Brownian motion and some elements of rough path theory. I will assume knowledge of real analysis and some basic probability theory.

Minicourse by Panagiotis Souganidis.
Introduction to entropy and viscosity solutions. description

The course will cover the classical theory of scalar conservation laws and Hamilton-Jacobi equations (method of characteristics) and will introduce the notions of entropy and viscosity solutions.

These activities are financed by the University of Chicago RTG grant (DMS-1246999).

Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).