Logo

Lectures on Singular Stochastic PDEs

Small book cover: Lectures on Singular Stochastic PDEs

Lectures on Singular Stochastic PDEs
by

Publisher: arXiv
Number of pages: 67

Description:
The aim of the course is to introduce the basic problems of non-linear PDEs with stochastic and irregular terms. We explain how it is possible to handle them using two main techniques: the notion of energy solutions and that of paracontrolled distributions.

Home page url

Download or read it online for free here:
Download link
(940KB, PDF)

Similar books

Book cover: Stochastic Differential Equations: Models and NumericsStochastic Differential Equations: Models and Numerics
by - KTH
The goal of this course is to give useful understanding for solving problems formulated by stochastic differential equations models in science, engineering and finance. Typically, these problems require numerical methods to obtain a solution.
(8470 views)
Book cover: Probability Theory and Stochastic Processes with ApplicationsProbability Theory and Stochastic Processes with Applications
by - Overseas Press
This text covers material of a basic probability course, discrete stochastic processes including Martingale theory, continuous time stochastic processes like Brownian motion and stochastic differential equations, estimation theory, and more.
(12887 views)
Book cover: Markov Chains and Stochastic StabilityMarkov Chains and Stochastic Stability
by - Springer
The book on the theory of general state space Markov chains, and its application to time series analysis, operations research and systems and control theory. An advanced graduate text and a monograph treating the stability of Markov chains.
(22866 views)
Book cover: Lectures on Topics in Stochastic Differential EquationsLectures on Topics in Stochastic Differential Equations
by - Tata Institute of Fundamental Research
The author's purpose in these lectures was to provide some insight into the properties of solutions to stochastic differential equations. In order to read these notes, one need only know the basic Ito theory of stochastic integrals.
(10743 views)