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Course, academic year 2023/2024
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An introduction to mathematical homogenization - NMMA469
Title: An introduction to mathematical homogenization
Guaranteed by: Department of Mathematical Analysis (32-KMA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2018
Semester: winter
E-Credits: 3
Hours per week, examination: winter s.:2/0, Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Guarantor: Stefan Krömer
Class: M Mgr. MA
M Mgr. MA > Volitelné
M Mgr. MOD
M Mgr. MOD > Volitelné
M Mgr. NVM
M Mgr. NVM > Volitelné
Classification: Mathematics > Differential Equations, Potential Theory, Mathematical Modeling in Physics
Annotation -
Last update: doc. Mgr. Petr Kaplický, Ph.D. (07.09.2018)
An introductory course of mathematical homogenization.
Literature -
Last update: Stefan Krömer (26.08.2021)

Cioranescu, Doina; Donato, Patrizia: An introduction to homogenization. Oxford Lecture Series in Mathematics and its Applications, 17. The Clarendon Press, Oxford University Press, New York, 1999.

Braides, Andrea; Defranceschi, Anneliese: Homogenization of multiple integrals. Oxford Lecture Series in Mathematics and its Applications, 12. The Clarendon Press, Oxford University Press, New York, 1998.

Teaching methods
Last update: Stefan Krömer (26.08.2021)

As long as it is possible, the course will be held in person. If necessary, further information will be added here later.

For questions please contact me directly by email. Home page: http://www.utia.cas.cz/people/kr-mer

Syllabus -
Last update: doc. Mgr. Petr Kaplický, Ph.D. (07.09.2018)

Basic periodic oscillations; Examples for periodic composites; Periodic homogenization for elliptic equations: formal expansions and correctors; Notions of convergence for homogenization problems: G-convergence, H-convergence, Gamma-convergence; Variational periodic homogenization for convex functionals, weak two-scale convergence

Entry requirements
Last update: doc. Mgr. Petr Kaplický, Ph.D. (07.09.2018)

Necessary prior knowledge: Functional analysis (weak topologies) and the Sobolev space W^{1,2}

Useful prior knowledge: Elliptic PDEs (weak formulation, existence, uniqueness), Calculus of Variations (direct methods)

 
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