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Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2021/2022
Scuola Scuola di Ingegneria Civile, Ambientale e Territoriale
Insegnamento 056791 - DIFFERENTIAL EQUATIONS
Cfu 10.00 Tipo insegnamento Monodisciplinare
Didattica innovativa L'insegnamento prevede  1.0  CFU erogati con Didattica Innovativa come segue:
  • MOOC
Docenti: Titolare (Co-titolari) Arioli Gianni

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing - Civ (1 liv.)(ord. 270) - MI (503) INGEGNERIA CIVILEOAEAZZZZ056791 - DIFFERENTIAL EQUATIONS

Obiettivi dell'insegnamento

Partial and ordinary differential equations are the main tool used to describe and study structures. This course introduces the main techniques used for understanding and solving differential equations, with emphasis on the applications. The main tools that are considered are functions series and basic functional analysis.


Risultati di apprendimento attesi

Students who pass the exam in differential equation can:
- know the basics of the theory of function series, and the application to the study of differential equations.
- know the different types of differential equations and the corresponding techniques


Argomenti trattati

Part A
Sequences and series of functions: pointwise and uniform convergence, mean square convergence, convergence criteria.
Theorems regarding the computation of limits, derivatives and integrals of sequences and series.
Power series, Taylor series: radius of convergence. Abel's theorem. Regularity of a power series.
Exponential series, Euler's formula.
Fourier series: criteria for pointwise, uniform and mean square convergence. Parseval identity.

Ordinary differential equations.
Cauchy problem, local and global existence of solutions, dependence on the data. Well posedness. Qualitative study of differential equations.
Equations explicitly solvable (separation of variables, linear, Bernoulli, homogeneous, linear of second order).
Linear systems: superposition principle, wronskian matrix. Set of solutions of a system of differential equations. Systems with constant coefficients. Exponential of a matrix. Boundary value problems, eigenvalues and eigensolutions. The concept of stability and criteria for linear and nonlinear systems. 

Mod. B:
Functional analysis: scalar product, Hilbert spaces, L2, generalised Fourier expansions, Parseval identity.

Partial differential equations:
First order equations, solution with characteristic lines.
Classification of second order equations. The heat equation, the wave equation, Laplace's equation. The mean value principle and the maximum principle for elliptic equations. Range of influence and domain of dependence for the wave equation.


Prerequisiti

The program of the courses in Mathematical Analysis 1 and Geometry and Mathematical Analysis 2.


Modalità di valutazione

1) The exam is written: it consists of exercises and questions on the theory (both closed and open questions).
2) 12 points are assigned to the questions on the theory, 23 to the exercises. To pass the exam it is necessary to get at least 6 points on the theory and 12 on the exercises.
3) Students getting at least 32 points are graded with 30 lode

The exam checks that the students:
1)    understand the applications of differential equations.
2)    are able to explain and illustrate (in written form) a definition, a theorem, a proof.
3)    are able to solve exercises.


Bibliografia
Risorsa bibliografica facoltativaR. A. Adams, C. Essex, Calculus: a complete course, ISBN: 978-03-217-8107-9
Risorsa bibliografica facoltativaA. Ferrero, F. Gazzola, M. Zanotti, Elements of Advanced Mathematical Analysis for Physics and Engineering, Editore: Esculapio, ISBN: 978-8874886456
Risorsa bibliografica facoltativaF. Gazzola, F. Tomarelli, M. Zanotti, Analytic functions, integral transforms, differential equations, Editore: Esculapio
Risorsa bibliografica facoltativaL.C. Evans, Partial differential equations, Editore: AMS

Software utilizzato
Nessun software richiesto

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
60:00
90:00
Esercitazione
40:00
60:00
Laboratorio Informatico
0:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 100:00 150:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato 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

Note Docente
schedaincarico v. 1.15.13 / 1.15.13
Area Servizi ICT
11/09/2026