KO-9   Wednesday July 10 - 08:45

MS15 Part 1 of 2 - Statistical properties of dynamical systems

MS15 Part 2 of 2

Abstract:
Ergodic theory provides a powerful tool in determining statistical properties of dynamics. The study of invariant measures is at its core and applies to various settings in dynamical systems, whether generated by maps or differential equations, perturbed by noise or given by time series. Ergodic theory is used for instance in deriving central limit theorems, determining Lyapunov exponents to prove chaotic dynamics, and the study of extreme value theory.

Organizers:
Ale Jan Homburg
Ian Melbourne
Evgeny Verbitskiy


08:45 - 09:15 - Alex Blumenthal - Lagrangian chaos for models in fluid mechanics [Abstract]

09:15 - 09:45 - Alef Sterk - Extreme value laws and mean squared error growth in dynamical systems [Abstract]

09:45 - 10:15 - Wael Bahsoun - Variance continuity for Lorenz flows [Abstract]