Mathematics for Engineering 2021/22

Curriculum in

MATEMATICA PER L'INGEGNERIA /MATHEMATICS FOR ENGINEERING

Title: Representations and Number Theory

Instructors: Stefano Capparelli, Pietro Mercuri

Duration: 20 hours

Period: Second semester
First lesson: Febraury 28, h14.00, room 1E

Abstract: In this course we will examine recent litarature that links representation theory of Lie algebras and Number Theory. In particular we shall examine:

- Nandi,D: Partition identities arising from Standard A2(2)-modules of level 4, Rutgers PhD Thesis 2014

- Konan, I.: Identités de type Rogers-Ramanujan: preuves bijectives et approche à la théorie de Lie, PhD Thesis, Université de Paris, 2020.

- Capparelli, Meurman, Primc,Primc: New partition identities from Cl(1)-modules, arXiv:2106.06262

 

Title: Variational problems for nonlinear Schrodinger equations on metric graphs

Instructor: Simone Dovetta

Duration: 15 hours

Period: January-Febraury 2022

Abstract: Since their first appearance in physical chemistry in 1953, networks (or metric graphs) have been proposed to model almost one-dimensional ramified structures. Despite being more than sixty years old, it is within the last two decades that the theory of evolution on networks became popular, mainly driven by the ubiquity of networks in applications, from quantum mechanics to fluid dynamics, from nonlinear optics to traffic regulation. The aim of this course is to give an introductory overview of recent results for nonlinear Schrödinger equations on metric graphs. In particular, we will consider variational problems for the energy functional under the mass constraint on a given graph The focus will be set on the minimization problem: does the above energy admit global minimizers? What is the role of We will see that the answers to these questions are strongly sensitive to the specific properties of the graphs.

Lect. #1: May 9, 15:00-17:00 (Rome time zone)

ID riunione: 874 3232 0937
Passcode: 594540
 
Lect. #2: May 10, 15:00-17:00 (Rome time zone)
ID riunione: 832 8849 3719
Passcode: 844900
 
Lect. #3: May 12, 15:00-17:00 (Rome time zone)
ID riunione: 874 2947 3466
Passcode: 040098
 
Lect. #4: May 24, 15:00-17:00 (Rome time zone)
ID riunione: 889 2824 7403
Passcode: 754341
 
Lect. #5: May 30, 15:00-17:00 (Rome time zone)
ID riunione: 841 8513 7130
Passcode: 911452
 
Lect. #6: May 31, 15:00-17:00 (Rome time zone)
ID riunione: 840 0006 6642
Passcode: 447303
 
Lect. #7: June 1, 15:00-17:00 (Rome time zone)

 

Title: Fractional Calculus and Probability

Instructor: Mirko D'Ovidio, Raffaela Capitanelli

Duration: 15+5 hours

Period: Part 1: January 2022, Part 2: February 2022

For information on the course, fill the form

https://forms.gle/k91mGmEVECFgs7CK6
 

Schedule: h 2.00 PM, Room 7 (and remotely)
 

January 31
February  2 
February  7
February  9
February 14
February 16

Abstract Part 1: We introduce some basic aspects related to fractional calculus and probability. In particular, we consider time-changed Markov processes driven by Cauchy problems written in terms of non-local (time and/or space) operators. Moreover, we consider the boundary value problem in the framework of the time changes and in general, we show some connection between multiplicative functionals, semigroups and boundary value problems for PDEs and non-local PDEs. We introduce some basic notions about limit theorems, stochastic processes, PDEs connections, non-local operators with special attention for the case of fractional (Caputo) derivative and fractional Laplacian, additive and multiplicative functionals associated with boundary conditions, time changes associated with boundary conditions. We focus on Dirichlet, Neumann, Robin and Wentzell boundary conditions together with the probabilistic reading of killed, reflected, elastic and sticky processes. We also discuss some applications concerned with regular and irregular domains in the macroscopic analysis introduced by fractional equations.

 

Abstract Part 2: The aim of this module is to provide approximation results for space-time non-local equations with general non-local (and fractional) operators in space and time. We consider a general Markov process time changed with general subordinators or inverses to general subordinators. Our analysis is based on Bernstein symbols and Dirichlet forms, where the symbols characterize the time changes, and the Dirichlet forms characterize the Markov processes.

 

Title: Introduction to hyperbolic conservation laws and applications

Instructor: Elisa Iacomini (Aachen University)

Duration: 10 hours

Period: February 7, 8, 11, 14, 16, h. 10-12, room 1.B1, building RM002

Link Zoom:
 
https://rwth.zoom.us/j/97656335772?pwd=OStIWnNmaTRWRkppdjFYVXhLNTR6UT09
 
Meeting ID 976 5633 5772
Passcode 372742 

Abstract: This course offers an overview of the theory of hyperbolic conservation laws and the related numerical methods. Conservation laws are essential for understanding the physical world around us, indeed they describe the conservation in time of a quantity in an isolated system. Starting from the linear case, we generalize the theory of characteristics analyzing the Riemann problem in details. Due to the nonlinearity of the problem, we will deal with the study of weak solutions, face the problem of non uniqueness of solutions and end up with the concept of entropy solution.

Then, we will focus on the numerical counterpart, in particular we will consider the so-called shock-capturing methods. We will investigate their main properties as consistency, stability and convergence.

As modelling example, we will focus mainly on vehicular traffic flow models.

 

Title: Fractional Calculus and Probability

Instructors: Maria Rosaria Lancia, Anna Chiara Lai .

Duration: 4+4 hours

Period: March-May 2022

 

Abstract Part 1: In this module we introduce the regional fractional Laplacian in extension domains, possibly with an irregular boundary. A fractional Green formula will be proved. We discuss some evolution BVPs with either Dirichlet, or Neumann or Robin type boundary conditions, possibly non local. Existence, uniqueness of the weak solution will be discussed as well as regularity properties of the associated semigroup. A comparison with the different definitions of fractional Laplacian will also be addressed.

References:

- S.Creo, M.R.Lancia, P.Vernole, Convergence of fractional diffusion processes on extension domains, J. Evol. Equ. 20 (2020), 109 − 139.

- S.Creo, M.R.Lancia, Fractional (s,p)-Robin-Venttsel' problems on extension

domains, NoDEA Nonlinear Di erential Equations Appl., 28 (3), (2021), paper no. 31, 33pp.

- C.G. Gal, M. Warma, Elliptic and parabolic equations with fractional diffusion and dynamic boundary conditions. Evol. Equat. Control Theory 5, 61-103 (2016).

 

Abstract Part 2: This module presents some results in the framework of fractional compartmental epidemic models, with particular attention to Caputo-type fractional SIS models.

We begin with a brief introduction to some compartmental epidemic models and with the derivation of the SIS model in the ordinary case. We then focus on the fractional SIS models based on the fractional Caputo derivative. Assuming the conservation of the total population, we discuss the equilibria of the system and we prove the existence and uniqueness of the solution. We finally present a local series representation for the solution.

References:

- Balzotti, C.; D’Ovidio, M.; Loreti, P. Fractional SIS Epidemic Models. Fractal Fract. 2020, 4, 44.

- Diethelm, K., Ford, N. J. Analysis of fractional differential equations. Journal of Mathematical Analysis and Applications, 2002, 265(2), 229-248.

-El-Saka H.A.A. Backward bifurcation in fractional-order vaccination models. J. Egy. Math Soc. 2015;23(1):49–55.

- Hassouna M, Ouhadan A, El Kinani EH. On the solution of fractional order SIS epidemic model. Chaos Solitons Fractals. 2018 Dec;117:168-174.

 

Title: Spectral geometry of the Laplace operator
Instructors: Luigi Provenzano 
Duration: 12 hours
Period: Second Semester

Abstract: In the first part of the course, we will provide a brief introduction to the spectrum of the Laplacian with various boundary conditions, and to the spectrum of the Dirichlet-to-Neumann map. This includes a discussion of the functional setting of these problems, and a few basic examples. Then, we will focus on some classical problems in spectral geometry, such as eigenvalue bounds and isoperimetric inequalities for the eigenvalues. In particular, we will present a set of techniques for their study. In the final part, if time allows, we will consider the same kind of problems for the Laplacian with a magnetic field, and we will discuss some recent developments on this topic.
 

The Ph.D course will be held on May 12-13-17-19-20-24, from 8:10 to 10:00.
 
    In classroom: AULA 6 (aule di Ingegneria via del Castro Laurenziano, RM018)

 

Title: Inverse problems and time-fractional partial differential equations
Instructor: Masahiro Yamamoto (The University of Tokyo -  
INdAM visiting professor)

Duration: 16 hours
Period: September/October 2022, Aula 1B1
 14, 20, 22, 27 , 28 September  (10:00 - 12:00)
4, 5, 7 October 
 (10:00 - 12:00)
Abstract: We consider an initial boundary value problem for time-fractional diffusion-wave equation (in the following we refer to it as system (*)).

The lectures aim at self-contained concise explanations for the fundamental theory for such problems and mathematical 
analysis of inverse problems.

The idea of fractional derivatives dates back to Leibniz and there have been many works including by Abel, Riemann, Liouville. Now the system (*) is widely recognized as more feasible model for various phenomena such as anomalous diffusion in heterogeneous media, where the anomaly cannot be well interpreted by the classical advection. diffusion equation and the conventional models often provide wrong simulation results. Thus we have to exploit more relevant models because the issues are serious, for example, for the protection of the environments , and the mathematical researches should support such practical applications.
For researches on inverse problems, we need also mathematical analyses for (*). Usually in practice, we are not a priori given coefficients and other quantities in (*). The inverse problems are concerned with parameter identification, and are essential for more accurate prediction or simulations of anomalous diffusion. Therefore mathematical researches should be done for both foundations of direct problems and applications to inverse problems for (*).

 

Inverse problems and time-fractional partial differential equations by M. Yamamoto (The Univ. Tokyo)
I plan the following contents under possible changes.
 
September 14

  1. Introduction: motivation for time-fractional diffusion equations
  2. Elementary explanations of time-fractional derivatives
  3. Initial-boundary value problem for simple time fractional ordinary differential equations

September 20

  1. Initial-boundary value problems for time-fractional diffusion-wave equations: solution  by the Fourier method
  2. Some qualitative studies of solutions

September 22

  1. Qualitative properties (e.g., asymptotics)
  2. Several inverse problems

September 27

  1. Issues on time-fractional derivatives: motivations for operator theoretic approach
  2. Formulation of fractional derivatives in Sobolev spaces of positive orders
  3. Extensions to Sobolev spaces of negative orders

September 28

  1. Important properties of the extended time-derivatives

(Laplace transform, coercivity, successive differentiation)

  1. Time-fractional ordinary differential equations: solution formulae in Sobolev spaces

October 4

  1. Initial-boundary value problems and nonlinear equations
  2. Comparison principles and applications

October 5

  1. Inverse problems of determining orders of fractional derivatives
  2. Inverse problems of determination of source terms

October 7

  1. Inverse problems of determining initial values
  2. Backward problem in time

Prospects for future researches
 


List of useful courses from the Master degree:

 

 

Title: Metodi Numerici per l’Ingegneria Biomedica (4 CFU) (Corso di Laurea in Ingegneria Biomedica)

Instructor: Francesca Pitolli

Planned period: November-December 2021


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