Identifier
etd-04122007-145924
Degree
Doctor of Philosophy (PhD)
Department
Mathematics
Document Type
Dissertation
Abstract
There are two parts in this dissertation. The backward stochastic Lorenz system is studied in the first part. Suitable a priori estimates for adapted solutions of the backward stochastic Lorenz system are obtained. The existence and uniqueness of solutions is shown by the use of suitable truncations and approximations. The continuity of the adapted solutions with respect to the terminal data is also established. The backward stochastic Navier-Stokes equations (BSNSEs, for short) corresponding to incompressible fluid flow in a bounded domain $G$ are studied in the second part. Suitable a priori estimates for adapted solutions of the BSNSEs are obtained which reveal a surprising pathwise $L^{infty}(H)$ bound on the solutions. The existence of solutions is shown by using a monotonicity argument. Uniqueness is proved by using a novel method that uses finite-dimensional projections, linearization, and truncations. The continuity of the adapted solutions with respect to the terminal data and the external body force is also established.
Date
2007
Document Availability at the Time of Submission
Release the entire work immediately for access worldwide.
Recommended Citation
Yin, Hong, "Backward stochastic Navier-Stokes equations in two dimensions" (2007). LSU Doctoral Dissertations. 116.
https://repository.lsu.edu/gradschool_dissertations/116
Committee Chair
Padmanabhan Sundar
DOI
10.31390/gradschool_dissertations.116