logo-polimi
Loading...
Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2019/2020
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 097673 - CALCULUS OF VARIATIONS
Docente Tomarelli Franco
Cfu 8.00 Tipo insegnamento Monodisciplinare

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - BV (478) NUCLEAR ENGINEERING - INGEGNERIA NUCLEARE*AZZZZ097673 - CALCULUS OF VARIATIONS
Ing Ind - Inf (Mag.)(ord. 270) - BV (479) MANAGEMENT ENGINEERING - INGEGNERIA GESTIONALE*AZZZZ097673 - CALCULUS OF VARIATIONS
Ing Ind - Inf (Mag.)(ord. 270) - MI (487) MATHEMATICAL ENGINEERING - INGEGNERIA MATEMATICA*AZZZZ097673 - CALCULUS OF VARIATIONS

Obiettivi dell'insegnamento

Aims and scope -

Problem solving for optimization problems and minimization of integral functionals: deduction, manipulation and solution of Euler equations and variational problems connnected to conditions of extremality.

Basic knowledge of variational inequalities and their formulation aiming to deal with constrained problems. 

These topics will be presented in the perspective of their relevant applications to problems in Mathematical Physics and Engineering.

The teaching activity of this course includes lecture hours and training sessions.

Expectations of achievements and abilities resulting from a successful attendance of this course are those associated with the Dublin Descriptors DD1, DD2, DD3, DD4.


Risultati di apprendimento attesi

The course provides an introduction to modern techniques in Calculus of Variations and Geometric Measure Theory. Minimization of integral functionals is studied in connection with variational formulations of boundary value problems for differential equations and problems with unilateral constraints. Some applications to continuum mechanics and image analysis are presented.

Topics presentation is focused on the acquisition and critical use of main tools in: Calculus of Variations, Functional Analysis, optimization of integral functional with and without constraint, Euler equations, interplay of integral minimization with variational formulation of PDEs and variational inequalities.

Lecture hours will allow students to know and understand the topics above (DD1) and to apply their knowledge and understanding (DD2, DD3).

Training sessions will allow students to become familiar with the theoretical concepts presented during lecture hours (DD1, DD2, DD3), and help developing ability to make judgements, and improve communication skills (DD3, DD4) to be tested by an oral examination.


Argomenti trattati

PROGRAM

1. Dido's problema. Steiner's problem. First variation of an integral functional. 

2. Classical Calculus of Variations. Euler-Lagrange equations. First integrals. Null-lagrangian integrals. The direct method in Calculus of Variations.

3. Isoperimetric inequality. Wirtinger inequality. Laplace equation. Mean value property. Bounded slope condition. Hilbert Theorem concerning Lipschitz extremals. 

4. Friedrichs mollifiers. Sobolev spaces. Poincaré inequality. Traces. Convexity of integral functionals. Semicontinuity of integral functionals. Sobolev embeddings.

5. Reflexivity. Separability. Weak coinvergence. Weak-star coinvergence. Banach-Alaoglu-Bourbaki Theorem. Elliptic equations in divergence form. Clamped plate. Elasticity system.

6. Variational inequalities in Hilbert spaces. Lions-Stampacchia Theorem. Minimum problems with convex constraints. Noncoercive problems. Recession cone. Obstacle problem for membrane and plate.

7. Measures. BV functions of one or several variables. Absolutely continuous functions.

8. Hausdorff measure. Hausdorff dimension. Hutchinson's self-similar fractal sets. Rectifiable sets. Federer-Vol'pert Theorem. Cantor-Vitali function.

9. Finite perimeter sets. First variation of area functional and mean curvature. Mumford-Shah functional: strong and weak formulation. 

10. Gamma-convergence. Definitions and examples. 

 

 


Prerequisiti

Basic Mathematical Analysis  courses of Laurea Triennale in Ingegneria.

 


Modalità di valutazione

The final proof consists in an oral exam about basic concepts of the program, with closer examination on two chapters to be chosen in the program. The choice of two chapters must be communicated before the exam.

The examination consists in answering theoretical questions and solving exercises about topics of the course, in order to assess the knowledge of theorems and the ability to exploit the mathematical tools presented in the frontal lessons: direct method in calculus of variations, variational formulation of partial differential equations, functional analysis tools, Sobolev spaces and distributions, variational inequalities.

Referring to the Dublin Descriptors, the exam is aimed at evaluating acquired skills, understanding of mathematical tools and the ability to apply knowledge (DD1, DD2, DD3, DD4).


Bibliografia
Risorsa bibliografica facoltativaLuigi Ambrosio, Nicola Fusco, Diego Pallara, Functions of Bounded Variation and Free Discontinuity Problems, Editore: Clarendon Press, Anno edizione: 2000, ISBN: 9780198502456
Risorsa bibliografica facoltativaHeidy Attouch, Giuseppe Buttazzo, Gérard Michaille, Variational Analysis in Sobolev and BV Spaces, Editore: MOS-SIAM, Anno edizione: 2014, ISBN: 978-1-611973-47-1
Note:

Second Edition

Risorsa bibliografica facoltativaHaim Brezis, Analisi funzionale, Editore: Liguori, Anno edizione: 1986, ISBN: 978-88-207-1501-4
Risorsa bibliografica facoltativaStefan Hildebrandt, Anthony Tromba, The Parsimonious Universe, Editore: Springer, Anno edizione: 1996, ISBN: 978-0387979915
Risorsa bibliografica facoltativaMariano Giaquinta, La forma delle cose, Editore: Edizioni di Storia e Letteratura, Anno edizione: 2010, ISBN: 9788863721782
Risorsa bibliografica facoltativaDavid Kinderlehrer, Guido Stampacchia, An Introduction to Variational Inequalities and Their Applications, Editore: SIAM, Anno edizione: 2000, ISBN: 0-89871-466-4

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
50:00
75:00
Esercitazione
30:00
45:00
Laboratorio Informatico
0:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 80:00 120:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.5 / 1.6.5
Area Servizi ICT
11/08/2020