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An introduction to Gamma-convergence

Lecturer: 
Course Type: 
PhD Course
Academic Year: 
2024-2025
Period: 
October - March
Duration: 
60 h
Description: 

Direct methods in the calculus of variations:
• semicontinuity and convexity,
• coerciveness and reflexivity,
• relaxation and minimizing sequences,
• properties of integral functionals.

Gamma-convergence:
• definition and elementary properties,
• convergence of minima and of minimizers,
• sequential characterization of Gamma-limits,
• Gamma-convergence in metric spaces and Yosida approximation,
• Gamma-convergence of quadratic functionals.

G-convergence:
• abstract definition,
• connection with Gamma-convergence,
• convergence of eigenvalues and eigenvectors.

The localization method for Gamma-convergence:
• increasing set functions and their regularizations,
• measures, fundamental estimate for subadditivity,
• integral representation of Gamma-limits,
• compactness of elliptic operators with respect to G-convergence,
• homogenization problems for convex integral functionals,
• homogenization of elliptic operators.

 

Rooms:

- 133: 26/11, 17/12, 19/12

- 134: 28/11, 5/12

 

 

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