Fourth Chicago Summer School In Analysis

June 19th - June 30th, 2017



This is the fourth series of NSF funded summer schools in analysis at the university of Chicago. The courses in this school introduce some topics in analysis and partial differential equations at the graduate level.

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

Check the poster.


If you want to participate in this summer school, please register here. The school is intended for graduate students. Exceptionally strong undergraduates, as well as early career postdocs, may also be considered for support. Financial aid (travel expenses, local accommodation and meals) will be available to some highly qualified applicants. 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 April 1st. Funding will be available both for US citizens and foreign participants.

Schedule of lectures V New!

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


List of courses V

X June 19th to June 23rd First week

Minicourse by Diego Cordoba.
Active scalars driven by a 2D incompressible flow. description

Minicourse by Francesco Maggi.
Some key ideas from Geometric Measure Theory in action. description

Minicourse by Govind Menon.
A quick introduction to kinetic theory. description

June 26th to June 30th Second week

Minicourse by Giuseppe Mingione.
Nonlinear Calderón-Zygmund theory. description

Minicourse by Alessio Porretta.
PDE methods in mean field games theory. description

Minicourse by Alexis Vasseur.
Recent results on the 3D quasi-geostrophic equation. description


For questions, write to chicagoanalysis@math.uchicago.edu

These activities are financed by the University of Chicago RTG grant (DMS-1246999) and Luis Silvestre's NSF CAREER grant (DMS-1254332).


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).