Second Chicago Summer School In Analysis

June 16 - July 3, 2015

This is the second 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, Solitons, Probability and Stochastic Analysis, Numerical Analysis, Harmonic Analysis and Pseudodifferential Operators 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, measure theory, and basic functional analysis (such as Hilbert spaces).

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

Check the poster. For questions, write to

The registration to this summer school is now closed. Per NSF regulations RTG 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 Antonio Auffinger.
Introduction to percolation and growth models. description

Minicourse by Marianna Csornyei.
Tangents of sets and differentiability of functions and measures. description

Minicourse by Robert Fefferman.
An Introduction to Fourier Series. description

Minicourse by Carlos Kenig.
Pseudodifferential operators with applications to linear Schrodinger equations. description

Minicourse by Wilhelm Schlag.
Introduction to nonlinear wave equations. description

Minicourse by Panagiotis Souganidis.
An introduction to the theory of homogenization. description

Minicourse by Luis Silvestre.
Viscosity solutions for nonlinear equations. description

Minicourse by Jonathan Weare.
Computing with deterministic and stochastic differential equations. description

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).