Singular Random Dynamics : Cetraro, Italy 2016
Book information
Description
Written by leading experts in an emerging field, this book offers a unique view of the theory of stochastic partial differential equations, with lectures on the stationary KPZ equation, fully nonlinear SPDEs, and random data wave equations. This subject has recently attracted a great deal of attention, partly as a consequence of Martin Hairer's contributions and in particular his creation of a theory of regularity structures for SPDEs, for which he was awarded the Fields Medal in 2014. The text comprises three lectures covering: the theory of stochastic Hamilton–Jacobi equations, one of the most intriguing and rich new chapters of this subject; singular SPDEs, which are at the cutting edge of innovation in the field following the breakthroughs of regularity structures and related theories, with the KPZ equation as a central example; and the study of dispersive equations with random initial conditions, which gives new insights into classical problems and at the same time provides a surprising parallel to the theory of singular SPDEs, viewed from many different perspectives. These notes are aimed at graduate students and researchers who want to familiarize themselves with this new field, which lies at the interface between analysis and probability. Front Matter ....Pages i-ix Introduction (Franco Flandoli, Massimiliano Gubinelli, Martin Hairer)....Pages 1-10 Lectures on Energy Solutions for the Stationary KPZ Equation (Massimiliano Gubinelli)....Pages 11-74 Pathwise Solutions for Fully Nonlinear First- and Second-Order Partial Differential Equations with Multiplicative Rough Time Dependence (Panagiotis E. Souganidis)....Pages 75-220 Random Data Wave Equations (Nikolay Tzvetkov)....Pages 221-313 Back Matter ....Pages 315-316
Similar books
XIII Symposium on Probability and Stochastic Processes: UNAM, Mexico, December 4-8, 2017
2020 · PDF
Probability Theory: A Comprehensive Course
2020 · PDF
Random Fields of Piezoelectricity and Piezomagnetism: Correlation Structures
2020 · PDF
Wahrscheinlichkeit – Mathematische Theorie und praktische Bedeutung: Grundlagen der Wahrscheinlichkeitsrechnung hinterfragt
2020 · PDF
Wahrscheinlichkeitsrechnung und Statistik: Eine Einführung für Verständnis, Intuition und Überblick
2020 · PDF
Teoria della Probabilit`: Variabili aleatorie e distribuzioni
2020 · PDF
Applied Probability and Stochastic Processes
2020 · PDF
Stochastic Analysis
2020 · PDF