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Activity Number: 60 - Invited E-Poster Session II
Type: Invited
Date/Time: Sunday, August 8, 2021 : 6:45 PM to 7:30 PM
Sponsor: IMS
Abstract #317554
Title: Random Lie Brackets That Induce Torsion: A Model for Noisy Vector Fields
Author(s): Didong Li and Sayan Mukherjee*
Companies: Princeton University and Duke University
Keywords: Stochastic calculs ; Differential geometry; Lie brackets
Abstract:

We define and study a random Lie bracket that induces torsion in expectation. Almost all stochastic analysis on manifolds have assumed parallel transport. Mathematically this assumption is very reasonable. However, in many applied geometry and graphics problems parallel transport is not achieved, the "change in coordinates" are not exact due to noise. We formulate a stochastic model on a manifold for which parallel transport does not hold and analyze the consequences of this model with respect to classic quantities studied in Riemannian geometry. We first define a stochastic lie bracket that induces a stochastic covariant derivative. We then study the connection implied by the stochastic covariant derivative and note that the stochastic lie bracket induces torsion. We then state the induced stochastic geodesic equations and a stochastic differential equation for parallel transport. We also derive the curvature tensors for our construction and a stochastic Laplace-Beltrami operator. We close with a discussion of the motivation and relevance of our construction.


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