Kolloquium Sommersemester 2020
The CeNoS Kolloquium starts always at 16.30 s.t in Room 222 of the Institute for Applied Physics. From 16.15 on coffee is available.
For any quantity of interest in a system governed by nonlinear differential equations it is natural to seek the largest (or smallest) long-time average among solution trajectories. Bounds on time averages can be proved a priori using auxiliary functions, the best choice of which is a convex optimization. We show that the problems of finding maximal trajectories and minimal auxiliary functions for upper bounds are strongly dual. Thus, auxiliary functions provide arbitrarily sharp estimates on maximal time averages. They also provide volumes in phase space where maximal trajectories must lie. For polynomial systems, auxiliary functions can be constructed by semidefinite programming which we illustrate using the Lorenz and Kuramoto-Sivashinsky equations. This is joint work with Ian Tobasco and David Goluskin, part of which appears in Physics Letters A 382, 382-386 (2018).