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Functional and Numerical Analysis (FOMICS block course)

Descrizione

COURSE OBJECTIVES

Understanding the basic elements of Functional Analysis.

 

COURSE DESCRIPTION

This course provides a concise introduction to some prominent subjects in functional analysis theory and some applications to the analysis and numerical solution of partial differential equations (PDEs). Starting from Banach spaces and basic topological considerations, we will consider linear and bounded operators and dual spaces, as well as some classical fixed-point results. We then will introduce Hilbert spaces, scalar products, and the Lax-Milgram theorem. On the PDE side, we will introduce the Lebesgue integral, Sobolev-spaces, and Galerkin discretization for linear elliptic PDEs.

 

LEARNING METHODS

Following the lecture. Reading text books. Exercising by doing independent work and following exercises. Attending tutorials.

 

EXAMINATION INFORMATION
Graded assignments and final written exam (closed book)

 

REFERENCES

  • Rudin, Walter. Functional Analysis. McGraw-Hill, 1991
  • Script provided in the lecture
  • Markus Haase, Functional Analysis: An Elementary Introduction, AMS

Persone

 

Krause R.

Docente titolare del corso

Informazioni aggiuntive

Semestre
Primaverile
Anno accademico
2021-2022
ECTS
3
Lingua
Inglese
Offerta formativa
Master of Science in Computational Science, Corso a scelta, 1° anno
Master of Science in Computational Science, Corso a scelta, 2° anno
Dottorato in Scienze informatiche, Corso dottorale, Corso, 1° anno
Dottorato in Scienze informatiche, Corso dottorale, Corso, 2° anno