- Docente: Daniele Ritelli
- Credits: 10
- SSD: MAT/05
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Statistical Sciences (cod. 8873)
Learning outcomes
The aim of the course is to provide the capability of the
student to face both theoretical and practical problems in
Mathematical Analysis, referring to the analysis of the behavior of
a real function of a real variable, computation of definite
integrals, development of a function in power series.
Course contents
The set R of real numbers. The main subsets of R: Natural,
Integers and Rational numbers. Completeness axiom. Archimedean
property. Sequences and Series. Limit of a sequence.
Monotonic sequences and the number e. Cesaro Stolz Theorems.
Geometric series. Series with positive terms and convergence tests.
Series with alternating terms. Continuous fractions and infinite
products. Complex Nembers. Algebraic representation of a
complex number. Tha complex plane. Trigonometric form. De Moivre
formulas Real functions. Limits and elementary functions.
Asymptotics and Landau symbols. Continuous functions. Bolzano
theorem on intermediate value and Weierstrass theorem on maxima and
minima. Derivatives. Theorems of Rolle, Lagrange, Cauchy and De
l'Hopital. Graph of a function, extrema. Convex and concave
functions. Inflexion points. Asymptotes. Taylor polynomials and
series. Riemann integral. Fundamental thoerems of Calculus.
Integration methods. Improper integrals Sequences and Series of
functions. Simple and uniform convergence. Theorems on the exchange
between limit of a sequence of functions and the integral. Powers
series. Taylor series. Ordinary Differential Equation.
Introduction to elementary differential equation of first order:
separable and linear.
Readings/Bibliography
Daniele Ritelli. Lezioni di Analisi Matematica.
Esculapio
Marco Bramanti. Esercitazioni di Analisi Matematica 1.
Esculapio
David Brannan. A First Course in Mathematical Analysis.
Cambridge University Press
R.P. Burn. Numbers and functions. Steps into Analysis. Third
edition. Cambridge University Press
Teaching methods
Lessons ex cathedra using also video beamer. Homework. Computer
algebra will also be employed to support thoretical
arguments.
Assessment methods
Written examination of 2 hours, where is
possible to use calculators and books. The exam is completed by an
oral examination if the written examination is satisfactory. The
aim of the exam is to detect the capability of the student to face
both theoretical and practical problems in Mathematical Analysis.
The written examination can be divided, for the first call, in to
two partial examinantion and is composed by multiple choice
questions and solution of
exercises.
Teaching tools
Video beamer and blackboard. Computer algebra to illustrate
important topics.
Links to further information
http://www.ams.org/mathscinet/MRAuthorID/618511
Office hours
See the website of Daniele Ritelli