Partial differential equation : heat equation, brownian moves and numerical aspects

LMAT2410  2016-2017  Louvain-la-Neuve

Partial differential equation : heat equation, brownian moves and numerical aspects
5.0 credits
30.0 h + 15.0 h
2q

Teacher(s)
Ponce Augusto ; Van Schaftingen Jean ;
Language
Français
Prerequisites

Students are expected to have followed an introduction to functional analysis or partial differential equations such as

LMAT1321 - Analyse fonctionnelle et équations aux dérivées partielles, ou

LINMA1315 - Compléments d'analyse, ou

LMAT2130 - Equations aux dérivées partielles 1 : équations de Poisson et de Laplace

Main themes

Study of partial differential equation based on methods from real analysis, harmonic analysis, functional analysis and measure theory. The goal is to establish the existence, uniqueness and qualitative properties of solutions.

Aims

Contribution of the course to learning outcomes in the Master in Mathematics programme. By the end of this activity, students will have made progress in: 

- Independently acquire and use new knowledge and skills throughout his professional life.

- Show evidence of abstract thinking and of a critical spirit.

- Argue within the context of the axiomatic method.

- Construct and draw up a proof independently, clearly and rigorously.

- Write a mathematical text according to the conventions of the discipline.

- Structure an oral presentation and adapt it to the listeners' level of understanding.

- Find sources in the mathematical literature and assess their relevance.

- Correctly locate an advanced mathematical text in relation to knowledge acquired.

- Ask relevant and lucid questions on an advanced mathematical topic in an independent manner.

 

Learning outcomes specific to the course. By the end of this activity, students will be able to: 

- Illustrate the problems studied in the course through applications.

- Provide some mathematical information on solutions of partial differential equations, including existence, uniqueness and qualitative properties.

- Apply techniques of real analysis, harmonic analysis, functional analysis and measure theory to study partial differential equations.

- Interpret mathematical theorems in the setting of modeling problems

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.

Evaluation methods

Learning will be assessed by individual written and oral tasks supplied during the semester and by a final examination.

Teaching methods

Depending on the available sources (books, lecture notes, scientific papers), the lectures will be based on

- oral presentations by the faculty, invited guests or students,

- questions arising from some written support provided beforehand.

Content

Variable.

Bibliography

Extracts of different works available in the library.

Faculty or entity<


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

Program title
Sigle
Credits
Prerequisites
Aims
Master [120] in Mathematics
5
-

Master [120] in Physics
5
-

Master [120] in Mathematical Engineering
5
-