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Sep/21/2019 19:17

MATJ5102 Quantitative stochastic homogenization (JSS28), 2 ECTS

Department of Mathematics and Statistics

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You cannot register for the course because the course has expired.
The registration deadline for this course passed 1.8.18 at 23:59.
The queuing order is determined according to a predetermined criteria provided by the instructor. Further information on queuing.

General information

Begins - ends: 13.8.18 - 17.8.18
Registration period: 1.3.18 at 0:00 - 1.8.18 at 23:59
Instructor(s): [F]yliopistonlehtori Mikko Parviainen (mikko.j.parviainen@jyu.fi)
Adjunct instructor(s): [F]tohtorikoulutettava Jarkko Siltakoski (jarkko.j.m.siltakoski@student.jyu.fi)
Credits: 2 ECTS cr.
Languages: language(s) of instruction: English; completion language(s): English
Registered: 27
Organisations:Department of Mathematics and Statistics (MATHS), Jyväskylä Summer School (JSS), Mathematics (MAT)
Current events:

Lecturer(s): Prof. Tuomo Kuusi (University of Oulu)

NB! The application period for Jyväskylä Summer School courses is 1 March – 30 April. It is possible to sign up for the course until 1.8. but after the Summer School application deadline, admission to the course cannot be guaranteed.


The aim of the course is to describe some recent developments in random homogenization. The main focus is in linear elliptic equations with random coefficients. During the first part of the course we shall prove a quantitative rate of homogenization with very good stochastic integrability. Next, we will develop a stochastic regularity theory (where theories of De Giorgi and Stampacchia play crucial role) and finally use this regularity theory to accelerate the rate of convergence of homogenization, and to bootstrap it to the optimal one given by the Central Limit Theorem scaling.

Learning outcomes:

To know what is meant by the stochastic homogenization. To be able to derive quantitative rate of homogenization for linear elliptic equations with random coefficients dealt in the course. Understand how regularity theory can be used to accelerate the rate of convergence.



Basic measure theory and stochastics. Sobolev spaces. Notion of distributional solution.  The course is based on the lecture notes "Quantitative stochastic homogenization and large-scale regularity" available at http://perso.ens-lyon.fr/jean-christophe.mourrat/lecturenotes.pdf

Modes of study:

Obligatory attendance on lectures, and completing exercises.


[Limit information on study groups]

Luento [group details and registration]

Luento 1 [group details and registration]; registered 27, maximum 200
reg.time: 1.3.2018 00:00 - 1.8.2018 23:59
 LocationWeekDayDateAtSupervisorFurther informationURITapahtuman tiedot
1MaD 20233Mo13.8.201813:00-15:00ParviainenTapahtuman tiedot
2MaD 20233Tu14.8.201813:00-15:00ParviainenTapahtuman tiedot
3MaD 20233Wed15.8.201813:00-15:00ParviainenTapahtuman tiedot
4MaD 20233Th16.8.201813:00-15:00ParviainenTapahtuman tiedot
5MaD 20233Fr17.8.201813:00-15:00ParviainenTapahtuman tiedot