ADVANCED ANALYSIS B
- Overview
- Assessment methods
- Learning objectives
- Contents
- Bibliography
- Teaching methods
- Contacts/Info
None.
Written and oral examination.
Learning advanced tools in the field of Nonlinear Analysis.
Euler –Lagrange equations and solutions of partial differential equations via the Dirichlet principle of minimal Energy. Towards weak solutions. A few facts from Functional Analysis: weak derivatives and Sobolev spaces, embedding inequalities, the Rellich-Kondrachov theorem, extensions and traces. A direct method in the Calculus of Variations, minima of weakly lower semicontinuous functionals: applications to nonlinear Schroedinger’s equation. The Nehari manifold and ground states solutions, bootstrap argument in elliptic regularity theory. Introduction to topological methods in Nonlinear Analysis for indefinite functionals: deformation lemma and the mountain-pass theorem by Ambrosetti-Rabinowitz, applications to semilinear elliptic equations. The Ekeland Variational Principle. The effect of Symmetry, Critical growth problems, lack of compactness and Pohozaev identity. Quantization of energy and the Brezis-Nirenberg theorem.
H. Brezis, Functional Analysis; M. Willem, Minimax Theorems; M. Struwe, Variational Methods
Classical lectures.
None.
Borrowed from
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