Course Info
Course Coordinator
Neerven, J.M.A.M. van
About this course
| Study load (hrs) |
| 225 |
| Level |
| Master |
Related information
| Related TU Delft courses |
|
Mathematics |
| Related resources |
| View related resources from other OCW-sites |
Stochastic Evolution Equations
(WI4129)| Description |
| The lectures are at a beginning graduate level and assume only basic familiarity with Functional Analysis and Probability Theory. Topics covered include: Random variables in Banach spaces: Gaussian random variables, contraction principles, Kahane-Khintchine inequality, Anderson’s inequality. Stochastic integration in Banach spaces I: γ-Radonifying operators, γ-boundedness, Brownian motion, Wiener stochastic integral. Stochastic evolution equations I: Linear stochastic evolution equations: existence and uniqueness, Hölder regularity. Stochastic integral in Banach spaces II: UMD spaces, decoupling inequalities, Itô stochastic integral. Stochastic evolution equations II: Nonlinear stochastic evolution equations: existence and uniqueness, Hölder regularity. Study Goals: At the end of the course, the student understands the basic techniques of probability theory in infinite-dimensional spaces and their applications to stochastic partial differential equations. The student is able to model a stochastic partial differential equation as an abstract stochastic evolution equation on a suitably chosen infinite-dimensional state space and solve this equation using fixed point techniques and stochastic integration in infinite dimensions. |
