Mathematical analysis : complements

linma1315  2022-2023  Louvain-la-Neuve

Mathematical analysis : complements
5.00 credits
30.0 h + 22.5 h
Q2
Teacher(s)
Absil Pierre-Antoine; Van Schaftingen Jean;
Language
French
Main themes
This course covers themes in mathematical analysis (measure theory, functional analysis and function spaces) that play a role in the foundations of various areas of applied mathematics such as dynamical systems, partial differential equations, optimal control, scientific computing, stochastic processes and financial mathematics.
Learning outcomes

At the end of this learning unit, the student is able to :

1 AA 1.1, 1.2, 1.3, 3.1.
At the end of the course, the student will be able to:
1. by means of examples, statements and mathematical proofs, describe infinite-dimensional spaces, including their operators and convergence notions, and compare them to finite dimensional spaces,
2. apply definitions and results of measure theory to the study of function spaces and probability theory,
3. use advanced concepts of measure theory and functional analysis in applied mathematics.
 
Content
Important concepts and results within the main themes of the course,
such as:
  • Measure theory, Lebesgue integral, convergence theorems,
  • Complete metric spaces, Banach spaces and Hilbert spaces, spaces of continuous functions, spaces of integrable functions,
  • Continuous linear mappings, weak convergence, Riesz representation theorem, notions of spectral theory,
  • Distributions and Sobolev spaces.
Teaching methods
The course includes interactive lectures and exercises. The emphasis is
on critical understanding of the theory and active problem solving.
Evaluation methods
  • Work carried out during the term: homework assignments, exercises, or laboratory work. These activities are thus organized (and evaluated) only once per academic year.
  • Exam: written, or sometimes oral depending on the circumstances.
The exam counts for 3/5 of the grade, the work during the term for 1/5 of the grade, and the evaluations during the term, each of them lower bounded by the exam grade, for 1/5 of the grade. The formula and further information are provided in the "Course outline" document available on Moodle (see "Online resources" below).
Other information
Bibliography
Livre de référence : Gerald Teschl, "Topics in Real and Functional Analysis" disponible gratuitement en ligne à l'adresse
(https://www.mat.univie.ac.at/~gerald/ftp/book-fa/).
Faculty or entity
MAP


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Minor in Applied Mathematics

Specialization track in Applied Mathematics