Semester1 Theory UAQ

Semester1 Theory UAQ

Theory  @  UAQ  30 ECTS credits

The first semester of the programme is focused on Mathematical Theory and is common to all students. It will be spent at UAQ - University of L'Aquila in Italy from September to March.

The University of L'Aquila has a longstanding tradition on the analysis of differential equations and dynamical systems with applications to engineering and social sciences. The goal of the first semester is to endow the student with advanced background in theoretical subjects such as Functional Analysis, Applied Partial Differential Equations, and Dynamical Systems. Functional Analysis prepares the student to work in "infinite dimensions", an essential feature to approach advanced methodologies in numerical analysis, approximation theory, optimization, stochastic analysis, in systematic and rigorous form. Applied Partial Differential Equations and Dynamical Systems are fundamental tools in mathematical modelling with applications to science and engineering (for example in fluid dynamics, life and social sciences, real world applications, and finance). These three units are typically touched only marginally in most of the applied sciences BSc curricula. One of the main goals of "MathMods" is to address them to students coming from Engineering and Physics BSc studies, thus reducing possible gaps with respect to BSc graduates in mathematics. The unit "Control System" plays the role of a selected "engineering-oriented" subject with a strong interface with dynamical systems, control theory, and basic harmonic analysis.

Below you can find information about the subjects for this semester.

  • Applied partial differential equations [6 credits]

    Applied partial differential equations

    • ECTS credits 6
    • Code I0183
    • University University of L'Aquila
    • Semester 1
    • Objectives

       

      LEARNING OBJECTIVES.
      The course aims at providing basic properties and main techniques to solve basic partial differential equations.
      Those objectives contribute to the learning goals of the entire course of studies, as the inner coherence of the master degree in Mathematical Modelling was verified at the time of the planning of the master program.

      LEARNING OUTCOMES.
      At the end of the course, the student should:

      1. know basic properties (existence, uniqueness, etc.) and main techniques (characteristics, separation of variables, Fourier methods, Green's functions, similarity solutions, etc.) to solve basic partial differential equations (semilinear first order PDEs, heat, Laplace, wave equations);
      2. understand and be able to explain thesis and proofs in the field of basic partial differential equations;
      3. have strengthened the logic and computational skills;
      4. be able to read and understand other mathematical texts on related topics.

    • Topics

       

      First order partial differential equations. Definition of characteristic vectors and characteristic surfaces. Characteristics for (semi)linear partial differential equations of first order in two independent variables. Existence and uniqueness to initial value problems for first order semilinear partial differential equations in two independent variables Duhamel’s principle for non homogeneous first order partial differential equations.

      Second order partial differential equations. Classification of second order semilinear partial differential equations in two independent variables. Canonical form for second order semilinear partial differential equations in two independent variables. Classification for second order semilinear partial differential equations in many independent variables.

      Heat equation. Derivation of heat equation and well–posed problems in one space dimension. Solution of Cauchy–Dirichlet problem for one dimensional heat equation by means of Fourier method of separation of variables. Energy method and uniqueness. Maximum principle. Fundamental solution. Solution of global Cauchy problem. Non homogeneous problem: Duhamel’s principle.

      Laplace equation. Laplace and Poisson equation: well-posed problems; uniqueness by means of energy method. Mean value property and maximum principles. Laplace equation in a disk by means of separation of variables. Poisson’s formula. Harnack’s inequality and Liouville’s Theorem. Fundamental solution of Laplace operator. Solution of Poisson’s equation in the whole space. Green’s functions and Green’s representation formula.

      Wave equation. Transversal vibrations of a string. Well–posed problems in one space dimension. D’Alembert formula. Characteristic parallelogram. Domain of dependence and range of influence. Fundamental solution for one dimensional wave equation. Duhamel’s principle for non homogeneous one dimensional wave equations. Special solutions of multi–d wave equation: planar and spherical waves. Well–posedness for initial, boundary value problems: uniqueness by means of energy estimates. Separation of variables. Domain of dependence and range of influence in several space variables. Fundamental solution for multi–dimensional wave equation. Solution of 3–d wave equation: Kirchhoff’s formula and strong Huygens’ principle. Wave equation in two dimensions: method of descent. Fundamental solution in 2–d. Duhamel’s principle for non homogeneous wave equation in 3–d: delayed potentials.

    • Prerequisites

       

      Students must know the basic notions of mathematical analysis, including Fourier series and ordinary differential equations, and the basic notions of continuum mechanics.

    • Books

       

      - L.C. Evans. Partial Differential Equations. Graduate Studies in Mathematics, Vol. 19, AMS, 2010.

      - S. Salsa. Partial Differential Equations in Actions: from Modelling to Theory. Springer–Verlag Italia, 2008.

      - S. Salsa, G. Verzini. Equazioni a derivate parziali: complementi ed esercizi. Springer–Verlag Italia. 2005.

      - W.A. Strauss. Partial Differential Equations: An Introduction. John Wiley & Sons Inc., 2008.

      - E.C. Zachmanoglou, D.W. Thoe. lntroduction to Partial Differential Equations with Applications. Dover Publications, Inc., 1986.


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  • Dynamical systems and bifurcation theory [6 credits]

    Dynamical systems and bifurcation theory

    • ECTS credits 6
    • University University of L'Aquila
    • Semester 1
    • Objectives

       

      The course is intended to introduce and develop an understanding of the concepts in nonlinear dynamical systems and bifurcation theory, and an ability to analyze nonlinear dynamic models of physical systems. The emphasis is to be on understanding the underlying basis of local bifurcation analysis techniques and their applications to structural and mechanical systems.

    • Topics

       

      Review of: first-order nonlinear ODE, first-order linear systems of autonomous ODE. Local theory for nonlinear dynamical systems: linearization, stable manifold theorem, stability and Liapunov functions, planar non-hyperbolic critical points, center manifold theory, normal form theory. Global theory for nonlinear systems: limit sets and attractors, limit cycles and separatrix cycles, Poincaré map. Hamiltonian systems. Poincaré-Bendixson theory. Bifurcation theory for nonlinear systems: structural stability, bifurcation at non-hyperbolic equilibrium points, Hopf bifurcations, bifurcation at non hyperbolic periodic orbits. Applications.

    • Prerequisites

       

      Ordinary differential equations

    • Books

       

      Lawrence Perko, Differential equations and dynamical systems, Springer-Verlag, 2001


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  • Italian Language and Culture for Foreigners (level A1) [3 credits]

    Italian Language and Culture for Foreigners (level A1)

    • ECTS credits 3
    • University University of L'Aquila
    • Semester 1
    • Objectives

       

      The aim of this course is to provide students with knowledge of Italian language at level A1 (beginner). The course will concentrate on four aspects of communication: speaking, writing, listening and reading on a basic level. Attention is given to correct pronunciation of Italian.
      Furthermore, the goals of the course are to enable students to:
      - develop the language proficiency required to communicate effectively in Italian at level A1;
      - develop awareness of the nature of language and language learning;
      - develop transferable skills;
      - form a sound base of the skills, language and attitudes required for progression to work or further study, either in Italian or another subject area.
      On successful completion of this module, a student should be able to:
      - understand familiar words and very basic phrases concerning himself/herself, his/her family and immediate concrete surroundings when people speak slowly and clearly;
      - read familiar names, words and very simple sentences, for example on notices and posters or in catalogues;
      - interact in a simple way provided the other person is prepared to repeat or rephrase things at a slower rate of speech;
      - ask and answer simple questions in areas of immediate need or on very familiar topics;
      - use simple phrases and sentences to describe where he/she lives and people he/she knows;
      - write short messages, postcards, fill in forms with personal details or a hotel registration form.

    • Topics

       

      Students will be required to show knowledge and understanding of the broad topic areas listed below. These provide contexts for the acquisition of vocabulary and the study of grammar and structures.
      VOCABULARY AND TOPIC AREAS
      - Clothes and accessories;
      - colors;
      - countries, nationalities and languages;
      - culture, customs and celebrations;
      - education e.g. learning institutions, education and training, learning tools, subjects;
      - family and friends;
      - feelings and emotions;
      - food and drink;
      - interests, sports and activities;
      - jobs;
      - measurements e.g. size, shape, weight;
      - numbers (cardinal, ordinal) and money;
      - rooms and furniture;
      - shops and places;
      - street directions;
      - the human body and health e.g. parts of the body, health and illness;
      - time expressions e.g. telling the time, dates, days of the week, months, seasons;
      - travel and transport;
      - weather.
      FUNCTIONAL SYLLABUS
      - Accepting/ thanking;
      - applying for a job;
      - asking about personal information;
      - asking permission;
      - buying and asking prices;
      - describing people and objects;
      - giving opinions;
      - giving instructions;
      - greeting and introducing;
      - inviting, refusing;
      - making suggestions;
      - requesting, offering;
      - talking about likes and dislikes;
      - talking about routines;
      - telling the time.

      GRAMMAR SYLLABUS
      - Sounds and spelling;
      - nouns: gender, number;
      - irregular plural nouns;
      - definite article;
      - indefinite article;
      - adjectives, first group adjectives and second group adjectives, position of adjectives;
      - formal address;
      - pronouns, subject pronouns and direct and indirect object pronouns;
      - possessive adjectives;
      -prepositions simple and prepositions with articles;
      - interrogatives;
      - adverbs;
      - present tense of regular and irregular verbs;
      - modal verbs and the verb sapere;
      - present perfect and some verbs with an irregular past participle.

    • Prerequisites

       

      There are no prerequisites for attending the course.

    • Books

       

      "Dieci A1" - Alma edizioni, Firenze 2019.
      “New Italian grammar in practice”, Alma edizioni, Firenze 2015.


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  • Introduction to Mathematical Control Theory [6 credits]

    Introduction to Mathematical Control Theory

    • ECTS credits 6
    • Code DT0821
    • University University of L'Aquila
    • Semester 1
    • Objectives

       

      To get the mathematical basics of control theory and optimal control theory.
      To know classical problems of control theory governed by ordinary differential equations and to deal with them by using the concepts learned.
      To know and construct significant applications of optimal control theory in life sciences, physics, and economics.
      To know some examples of control problems for models governed by partial differential equations.

    • Topics

       

      Controllability of linear systems and bang-bang principle. Controllability of nonlinear systems. Stabilizability of linear and nonlinear systems.

      Basic optimal control problems. Necessary conditions. Adjoint equation. Pontryagin’s Maximum Principle. Existence and uniqueness results for minimizers. Hamiltonian and autonomous problems. Optimality conditions. State conditions at the final time. Payoff terms. States with fixed endpoints.

      Dynamic Programming and Hamilton-Jacobi Equations.
      Optimal control problems in biology, physics, and economics. Control problems for multiagent systems.

      An introduction to controllability and stabilization of partial differential equations: the wave equation and the heat equation.

    • Prerequisites

       

      Basic calculus and analysis (differential and integral calculus with functions of many variables). Ordinary differential equations.

    • Books

       

      -L.C. Evans, An introduction to mathematical control theory, Berkley, Lecture notes.

      -A. Bressan, B. Piccoli, Introduction to Mathematical Theory of Control, AIMS Book Series, 2007

      -A. Isidori, Nonlinear Control Systems: An Introduction, Springer

      -S. Lenhart and J.T. Workman, Optimal Control Applied to Biological Models, Chapman & Hall/CRC.
      -S. Anita, V. Arnautu and V. Capasso, An Introduction to Optimal Control Problems in Life Sciences and Economics, Birkhauser.


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  • Real and Functional Analysis (9) [9 credits]

    Real and Functional Analysis (9)

    • ECTS credits 9
    • University University of L'Aquila
    • Semester 1
    • Objectives

       

      Introducing basic tools of advanced real analysis such as metric spaces, Banach spaces, Hilbert spaces, bounded operators, weak convergences, compact operators, weak and strong compactness in metric spaces, spectral theory, in order to allow the student to formulate and solve linear ordinary differential equations partial differential equations, classical variational problems, and numerical approximation problems in an "abstract" form. Provide a primer of abstract measure and integration to be used in advanced probability and analysis courses.

    • Topics

       

      Metric spaces, normed linear spaces. Topology in metric spaces. Compactness.
      Spaces of continuous functions. Convergence of function sequences. Approximation by polynomials. Compactness in spaces of continuous functions. Arzelà's theorem. Contraction mapping theorem.
      Crash course on abstract measure and integration. Measurable spaces and measurable functions. Borel and Lebesgue measures. Integrals on measure spaces. Limit exchange convergence theorems. Lp spaces. Product measures. Signed measures and Radon-Nicodym Theorem. Riesz representation theorem for measures.
      Introduction to the theory of linear bounded operators on Banach spaces. Bounded operators. Dual norm. Examples. Riesz' lemma. Norm convergence for bounded operators.
      Hilbert spaces. Elementary properties. Orthogonality. Orthogonal projections. Bessel's inequality. Orthonormal bases. Examples.
      Bounded operators on Hilbert spaces. Dual of a Hilbert space. Adjoin operator, self-adjoint operators, unitary operators. Applications. Weak convergence on Hilbert spaces. Banach-Alaoglu's theorem.
      Introduction to spectral theory. Compact operators. Spectral theorem for self-adjoint compact operators on Hilbert spaces. Hilbert-Schmidt operators. Functions of operators.

    • Prerequisites

       

      Basic calculus and analysis in several variables, linear algebra.

    • Books

       

      John K. Hunter, Bruno Nachtergaele, Applied Analysis. World Scientific.
      H. Brezis, Funtional Analysis, Sobolev Spaces, and partial differential equations. Springer.
      Piermarco Cannarsa, Teresa D’Aprile, Introduction to Measure Theory and Functional Analysis, Springer.


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