London Analysis and Probability Seminar
The London Analysis and Probability seminar is jointly organized and is alternately held by
Imperial College London;
King's College London; Queen Mary, University of London and University College London. The seminar meets during term time on Thursdays from 3:00pm-5:30pm. Please follow the links below for the details of how to get to the institutions. All are welcome to attend the meetings.
2013 Autumn Term Programme:
Thursday, 3 October, 3-5.30pm, University College, Department of Mathematics, room 500 Directions
- 3pm Mahir Hadzic (King's College)
Stability of the FLRW Solutions to the Dust-Einstein System with a Positive Cosmological Constant abstract (AP)
- 4.30pm Diego Cordoba (ICMAT, Madrid) Finite time singularities in incompressible fluid interfaces abstract (AC)
Thursday, 17 October, 3-5.30pm, University College, Department of Mathematics, room 500 Directions
- 3pm David Kreicirik (Rez) The semiclassical fall of non-Hermitian quantum mechanics (LP)
- 4.30pm Richard Melrose (MIT) Eigenvalues of collapsing triangles
abstract (LP)
Thursday, 24 October, 3-5.30pm, University College, Department of Mathematics, room 500 Directions
- 3pm Laure Saint-Raymond (Paris)
From Newton's dynamics to the heat equation abstract
(AC)
- 4.30pm Alberto Parmeggiani (Bologna) A survey on almost-positivity estimates (MR)
Thursday, 21 November, 3-5.30pm, University College, Department of Mathematics, room 500 Directions
- 3pm Ken McLaughlin (Arizona)
Random Matrices, the Normal Matrix Model, and Universality
abstract
(IK)
- 4.30pm Edriss Titi (Weizmann Institute and University of California)
Mathematical Study of Certain Geophysical Models: Global Regularity and Finite-time Blowup Results
abstract
(DC)
Thursday, 5 December, 3-5.30pm, University College, Department of Mathematics, room 500 Directions
- 3pm Michel Ledoux (Toulouse) Heat flow, Harnack inequalities, and optimal transportation abstract (DC)
- 4.30pm Michael Röckner (Bielefeld) Stochastic nonlinear Schrödinger equations with linear multiplicative noise: the rescaling approach
abstract (DC)