DIMACS DATA-INSPIRE at Rutgers: Conditioned Weiner Processes and a Rigorous Probabilistic Analysis of Dynamics

27 Oct 2022, 10:10
1h

Speaker

Dr Cameron Thieme (DIMACS, Rutgers University)

Description

We study a Weiner process that is conditioned to pass through a finite set of points and consider the dynamics generated by iterating a sample path from this process. Using topological techniques we are able to characterize the global dynamics and deduce the existence, structure and approximate location of invariant sets. Most importantly, we compute the probability that this characterization is correct. This work is probabilistic in nature and intended to provide a theoretical foundation for the statistical analysis of dynamical systems which can only be queried via finite samples.

Authors

Dr Cameron Thieme (DIMACS, Rutgers University) Prof. Konstantin Mischaikow (Rutgers University)

Presentation materials