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Singular random dynamicsCetraro, Ita...

Flandoli, Franco.

Singular random dynamicsCetraro, Italy 2016 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Singular random dynamicsby Massimiliano Gubinelli, Panagiotis E. Souganidis, Nikolay Tzvetkov ; edited by Franco Flandoli, Massimiliano Gubinelli, Martin Hairer.
Reminder of title:	Cetraro, Italy 2016 /
Author:	Gubinelli, Massimiliano.
other author:	Souganidis, Panagiotis E.
Published:	Cham :Springer International Publishing :2019.
Description:	ix, 316 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Stochastic partial differential equations.
Online resource:	https://doi.org/10.1007/978-3-030-29545-5
ISBN:	9783030295455$q(electronic bk.)

Singular random dynamicsCetraro, Italy 2016 /
Gubinelli, Massimiliano.

Singular random dynamicsCetraro, Italy 2016 /[electronic resource] :by Massimiliano Gubinelli, Panagiotis E. Souganidis, Nikolay Tzvetkov ; edited by Franco Flandoli, Massimiliano Gubinelli, Martin Hairer. - Cham :Springer International Publishing :2019. - ix, 316 p. :ill., digital ;24 cm. - Lecture notes in mathematics ;2253. - Lecture notes in mathematics ;2035..

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.

ISBN: 9783030295455$q(electronic bk.)

Standard No.: 10.1007/978-3-030-29545-5doiSubjects--Topical Terms:

199002
Stochastic partial differential equations.

LC Class. No.: QA274.25 / .G83 2019

Dewey Class. No.: 519.22

Singular random dynamicsCetraro, Italy 2016 /
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245 1 0 $a Singular random dynamics $h [electronic resource] : $b Cetraro, Italy 2016 / $c by Massimiliano Gubinelli, Panagiotis E. Souganidis, Nikolay Tzvetkov ; edited by Franco Flandoli, Massimiliano Gubinelli, Martin Hairer.
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520 $a 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.
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700 1 $a Flandoli, Franco. $3 511752
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