Large Deviations Principle for Diffusions
Large Deviations Principle for Diffusions
Large deviations theory formulated by Varadhan has made a tremendous impact in a variety of fields such as mathematical physics, control theory, and statistics, to name a few. After a brief discussion of the general theory and examples, the large deviations principle (LDP) is shown to be equivalent to the Laplace principle in our context. The rate function for the LVP is obtained, in general, via relative entropy. Next, the Boué-Dupuis representation theorem for positive functionals of a Wiener process is established. Using the representation theorem, the Laplace principle is proved for diffusions.
Keywords: large deviation principle, Laplace principle, rate function, relative entropy, representation theorem for functionals of a Wiener process, Wentzell-Freidlin type large deviation principle
Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
Please, subscribe or login to access full text content.
If you think you should have access to this title, please contact your librarian.
To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .