logo-polimi
Loading...
Degree programme
Show/Search Programme
Course Details
Print
Save Document
Course Details
Context
Academic Year 2022/2023
Name Dott. - MI (1385) Modelli e Metodi Matematici per l'Ingegneria / Mathematical Models and Methods in Engineering
Programme Year 1

Course Details
ID Code 058413
Course Title STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS
Course Type MONO-DISCIPLINARY COURSE
Credits (CFU / ECTS) 5.0
Course Description The first part of the course is devoted to the development of a general theory of stochastic analysis in infinite dimensions: this will cover, in particular, Gaussian measures in Hilbert spaces, stochastic processes and martingales in Hilbert spaces, quadratic variation and tensor quadratic variation, measurability of stochastic processes, stochastic compactness methods, stochastic integration with respect to a square-integrable continuous martingale, Wiener processes and cylindrical Wiener processes, maximal inequalities for square integrable martingales, Burkholder-Davis-Gundy inequality. The second part of the course covers applications of such tools to the variational theory of stochastic PDEs: existence/uniqueness results for SPDEs with Lipschitz nonlinearities, existence/uniqueness results for SPDEs of monotone type in Hilbert triplets. Eventually, selected explicit examples of stochastic partial differential equations will be discussed, with focus on the state of the art and possible open problems: these will be focused on phase-field-type SPDEs such as stochastic Allen-Cahn and Cahn-Hilliard equations. The course is highly interdisciplinary. On the one hand, it bridges from Functional Analysis and Partial Differential Equations to Probability theory. On the other hand, it balances theoretical knowledge of stochastic analysis in Hilbert spaces and direct applications to open problems on stochastic PDEs that arise in Physics and Engineering. For these reasons the course can be beneficial for students working both on Probability Theory and Mathematical Analysis of PDEs, on either an abstract or applicative level.
Scientific-Disciplinary Sector (SSD) --

Details
Alphabetical group Name Teaching Assignment Details
From (included) To (excluded)
A ZZZZ Scarpa Luca
manifestidott v. 1.10.0 / 1.10.0
Area Servizi ICT
09/02/2025