30591  ELEMENTS OF REAL AND COMPLEX ANALYSIS
Department of Decision Sciences
ELIA BRUE'
Suggested background knowledge
Mission & Content Summary
MISSION
CONTENT SUMMARY
The course is divided into two parts.
After a quick review of complex numbers, the first part of the course will concern with:
 holomorphic functions,
 power series expansions in the complex field,
 line integrals,
 index/winding number of a curve about a point,
 singularities and residuals, Laurent expansions
 the Theorems of Riemann and Cauchy, the residue Theorem,
 applications*: the argument and the maximum principles, the fundamental theorem of Algebra, the Zeta transform.
After a brief and informal recap of some properties of Hilbert spaces and the Lebesgue space L2, the second part of the course will be devoted to
 Fourier series in the framework of orthogonal systems of signals,
 properties and convergence of Fourier series,
 Fourier transform,
 applications*: Laplace transform, solutions to differential equations, Poisson summation formula and sampling theorem, the Heisenberg uncertainty principle.
(The choice of starred* topics will be adjusted according to the time available)
Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
Understand the basic facts, tools, and techniques of complex analysis: recognize holomorphic functions and their singularities, identify power series and their convergence, describe their main properties, recognize closed circuits and their winding numbers in the complex plane, explain the scope of the basic integral theorems and representation formulae.
Understand the basic structure of Hilbert spaces, the use of scalar products, and of orthonormal systems and expansions.
Know the basic properties of periodic signals and the trigonometric basis, understand the meaning of Fourier expansion, reproduce basic series expansions, and describe their convergence properties.
Understand Fourier transform, its inversion, and its link with Fourier series and Laplace transform.
APPLYING KNOWLEDGE AND UNDERSTANDING
Manipulate simple power series in the complex plane.
Analyze singularities, compute residuals, and evaluate simple curvilinear integrals.
Use the power series expansions of fundamental functions. Use rational functions.
Solve simple exercises on holomorphic functions.
Compute Fourier series expansions of simple signals. Use Fourier series expansions for solving differential equations with periodic solutions. Estimate the behavior of the Fourier coefficients.
Compute the Fourier/Laplace transform of simple signals. Interpret the Fourier transform and its behavior. Use simple relations between a function and its Fourier/Laplace transform.
Teaching methods
 Facetoface lectures
 Online lectures
 Exercises (exercises, database, software etc.)
DETAILS
Online lectures have the same conceptual role as facetoface lectures. The actual blend of facetoface lectures and online lectures will mainly depend on external constraints.
Exercise sessions (again: both faceto face and online) are dedicated to the application of the main theoretical results obtained during lectures to problems and exercises of various nature.
Assessment methods
Continuous assessment  Partial exams  General exam  


x  x 
ATTENDING AND NOT ATTENDING STUDENTS
Students will be evaluated on the basis of written exams, which can be taken in one of the two following ways.
The exam can be split in two partial exams. Each partial may contain multiplechoice questions and/or openanswer questions; each partial weighs for onehalf of the final mark. Multiplechoice questions mainly aim at evaluating the knowledge of the fundamental mathematical notions and the ability to apply these notions to the solution of simple problems and exercises, while openanswer questions mainly aim at evaluating:
 The ability to articulate the knowledge of mathematical notions in a conceptually and formally correct way, adequately using definitions, theorems and proofs.
 The ability to actively search for deductive ideas that are fit to prove possible links between the properties of mathematical objects.
 The ability to apply mathematical notions to the solution of more complex problems and exercises.
The exam can also be taken as a single general exam, which may contain multiplechoice questions and openanswer questions. The general exam covers the whole syllabus of the course and it can be taken in one of the four general sessions scheduled in the academic year. This option is mainly meant for students who have withdrawn from the twopartials procedure or could not follow it. Each type of question contributes in a specific way to the assessment of the students' acquired knowledge. Multiplechoice questions mainly aim at evaluating the knowledge of the fundamental mathematical notions and the ability to apply these notions to the solution of simple problems and exercises, while openanswer questions mainly aim at evaluating:
 The ability to articulate the knowledge of mathematical notions in a conceptually and formally correct way, adequately using definitions, theorems and proofs.
 The ability to actively search for deductive ideas that are fit to prove possible links between the properties of mathematical objects.
 The ability to apply mathematical notions to the solution of more complex problems and exercises.
We will take care to obtain final grades whose distribution follows the grade distribution that is recommended by Università Bocconi.
Teaching materials
ATTENDING AND NOT ATTENDING STUDENTS
Steven Krantz: A guide to complex variables
The Mathematical Association of America, 2008
Henri Cartan: Elementary theory of analytic functions of one or several complex variables
Dover 1995
Elias Stein, Rami Shakarchi: Fourier Analysis, an introduction
Princeton University Press, 2002
Pierre Bremaud: Mathematical Principle of Signal Processing
Springer, 2002