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 Scheda Riassuntiva
 Anno Accademico 2018/2019 Scuola Scuola di Ingegneria Industriale e dell'Informazione Insegnamento 096119 - ADVANCED MATHEMATICAL ANALYSIS Docente Tomarelli Franco Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (422) INGEGNERIA DELLA PREVENZIONE E DELLA SICUREZZA NELL'INDUSTRIA DI PROCESSO*AZZZZ096119 - ADVANCED MATHEMATICAL ANALYSIS
Ing Ind - Inf (Mag.)(ord. 270) - MI (472) CHEMICAL ENGINEERING - INGEGNERIA CHIMICA*AZZZZ096119 - ADVANCED MATHEMATICAL ANALYSIS

 Obiettivi dell'insegnamento
 Problem solving for ordinary and partial differential equations.

 Risultati di apprendimento attesi
 Partial differential equations - Knowledge of main examples of linear partial differential equations of Mathematical Physics, together with the related notions of boundary value problems and well posed problem. Conservation Laws - Solving the initial value problem for the linear transport equation with source term, with/or without decay, exploiting the method of charactestics and explicit formulas of the solution.  Diffusion - Knowledge of diffusion and heat conduction modeling and maximum principle. Solving the Cauchy problem for the heat equation in R^n by closed formulas. Solving the Cauchy problem for the heat equation in bounded domains by separation of variables.  Transforms - Evaluation of Fourier transforms of functions, evaluation of Fourier series of periodic signals. Ability to apply transform-based methods for solving differential equations with initial and/or energy conditions. Ability to apply Fourier series tecniques to find periodic solutions of ordinary differential equations. The Laplace Equation - Definition and main properties of harmonic functions. Solution of the Laplace equation in bounded domains by separation of variables. Solution of elliptic equations in R^n by using Fourier transform. The fundamental solution in the physical space: Newtonian potential.  Waves and Vibrations - Solution of the one dimensional wave equation with D’Alembert formula. Knowledge of: types of waves, domain of dependence and range of influence of data for the wave equation in the physical space.

 Argomenti trattati
 Introduction to partial differential equations - Mathematical modeling. Examples of partial differential equations. Well posed problems. Boundary value problems: Dirichlet and Neuman boundary conditions. Initial value problems. Classification of second order linear PDE.  Conservation Laws - Pollution in a channel. Linear transport equation. Distributed source. Decay and localized source. Characteristics. Inflow and outflow. First order quasi-linear equations.  Diffusion - The diffusion equation. Heat conduction. Well posed problems. Separation of variables. Maximum principle and uniqueness. The fundamental solution. The Dirac distribution. The Cauchy problem for the heat equation. Energy estimates. An example of nonlinear diffusion: the porous medium equation. Transforms - Fourier transform. Fourier series of periodic signals. Function spaces: C^k, L^1, L^2. Distributions. Convolution. Transform-based methods for solving differential equations with initial and/or energy conditions. The Laplace Equation - Well posed problems and uniqueness. Harmonic functions and their properties. Separation of variables. Eigenvalue problems. The fundamental solution in the physical space: Newtonian potential. Solution of Laplace equation in R^n. Waves and Vibrations - Types of waves. Transverse waves in a string. The one dimensional wave equation. D’Alembert formula. Domain of dependence and range of influence. Huygens principle. Energy conservation.

 Prerequisiti
 Students are supposed to know basic notions concerning multiple integrals. integrals on surfaces, Divergence Theorem, Fourier series of periodic functions, functions of complex variable, Cauchy-Lipschitz Theorem, linear second order ordinary differential equations, Euler's differential equation.

 Modalità di valutazione
 The final (written) exam consists in solving exercises and answering questions related with the topics of the course, in order to assess the knowledge of theorems and ability to exploit the mathermatical tools presented in the frontal lessons: all exam tasks will have prescribed scores.  Additional score can be achieved by a (facultative) theory question and a (facultative) final drill in MATLAB laboratory. Precisely the exam will check the acquired skills concerning: 1- Knowledge of main examples of linear partial differential equations of Mathematical Physics, together with the related notions of boundary value problems and well posed problem. 2 - Solving the initial value problem for the linear transport equation with source term, with/or without decay, exploiting the method of charactestics and explicit formulas of the solution.  3 - Knowledge of diffusion and heat conduction modeling and maximum principle. Solving the Cauchy problem for the heat equation in R^n by closed formulas. Solving the Cauchy problem for the heat equation in bounded domains by separation of variables.  4 - Evaluation of Fourier transforms of functions, evaluation of Fourier series of periodic signals. Ability to apply transform-based methods for solving differential equations with initial and/or energy conditions. Ability to apply Fourier series tecniques to find periodic solutions of ordinary differential equations. 5 -Definition and main properties of harmonic functions. Solution of the Laplace equation in bounded domains by separation of variables. Solution of elliptic equations in R^n by using Fourier transform. The fundamental solution in the physical space: Newtonian potential.  6 - Solution of the one dimensional wave equation with D’Alembert formula. Knowledge of: types of waves, domain of dependence and range of influence of data for the wave equation in the physical space.

 Bibliografia Filippo Gazzola, Franco Tomarelli & Maurizio Zanotti, Analytic functions, Integral transforms, Differential equations - Second Edition, Editore: Esculapio, Anno edizione: 2015, ISBN: 978-88-7488-889-4Note:English text is also available as an E-book. A printed version in Italian language is available too. Filippo Gazzola, Franco Tomarelli, Maurizio Zanotti, Analisi Complessa, Trasformate, Equazioni Differenziali, Editore: Esculapio, Anno edizione: 2015, ISBN: 978-88-7488-888-7

 Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
26:00
39:00
Esercitazione
20:00
30:00
Laboratorio Informatico
4:00
6:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 50:00 75:00

 Informazioni in lingua inglese a supporto dell'internazionalizzazione
 Insegnamento erogato in lingua Inglese
 schedaincarico v. 1.6.5 / 1.6.5 Area Servizi ICT 18/01/2021