Campuses:

Deterministic and Probabilistic Approaches to the Well-posedness Problem For Dispersive Equations

Thursday, May 28, 2015 - 10:00am - 10:50am
Lind 305
Gigliola Staffilani (Massachusetts Institute of Technology)
In the first part of these lectures I will present certain, by now classic, results on local and global well-posedness for the NLS via Strichartz estimates.
In the second part I will show how one can use randomization of the initial data to prove well-posedness almost surely even when the problem lack enough regularity for a more deterministic approach. In this context I will also introduce certain Gibbs type measures and how their invariance can be used in certain cases to extend local
solutions to a global ones.
MSC Code: 
37L50