Martingales in Filtering and Geometry

We give three applications of martingale theory. First, we study a problem in real-time target tracking. Realistic assumptions, namely limited processing power, turn the variance into a stochastic process. We transform and compensate the variance process so as to obtain a martingale. We find conditions on the parameters under our control that yield a satisfactory tracking mechanism. Specifying the relation between two quantities, we determine an optimal tracking procedure. Second, we give an explicit representation for the solution of the heat equation for trivial vector bundles using Ito's formula and an elementary martingale convergence result. Third, we give a martingale characterization of Yang-Mills fields. This uses stochastic analogues of lasso-forms and integrated lassos. In dimension 4, we relate the Yang-Mills action to the quadratic variation of the martingale used in the characterization. For the special case of self-dual Yang-Mills fields we give an energy identity.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Mathematics

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Bauer, Robert Otto

Contributors dc:contributor

• Donald Burkholder

• Mathematics

Language dc:language

eng

Identifier

(MiAaPQ)AAI9737047

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/86944