โ Scribed by Giuseppe Da Prato, Luciano Tubaro
No coin nor oath required. For personal study only.
Stochastic Partial Differential Equations and Applications gives an overview of current state-of-the-art stochastic PDEs in several fields, such as filtering theory, stochastic quantization, quantum probability, and mathematical finance. Featuring contributions from leading expert participants at an international conference on the subject, this book presents valuable information for PhD students in probability and PDEs as well as for researchers in pure and applied mathematics. Coverage includes Navier-Stokes equations, Ornstein-Uhlenbeck semigroups, quantum stochastic differential equations, applications of SPDE, 3D stochastic Navier-Stokes equations, and nonlinear filtering.
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Offers state of the art applications in filtering theory, stochastic quantization, quantum probability, and mathematical finance, as well as identifies paths for future research in the field.
Da Prato (Scuola Normale Superiore di Pisa, Italy) and Tubaro (Universita degli Studi di Trento, Italy) present 25 contributions by an international group of mathematicians that focus on recent results that are promising for future developments in the theory of stochastic partial differential equati