MATHEMATICAL ANALYSIS 1
cod. 1001152

Academic year 2016/17
1° year of course - First semester
Professor
Academic discipline
Analisi matematica (MAT/05)
Field
Matematica, informatica e statistica
Type of training activity
Basic
84 hours
of face-to-face activities
12 credits
hub: PARMA
course unit
in - - -

Learning objectives

Knowledge and understanding:
At the end of this course the student should know the essential definitions and results of the analysis in one variable, and he should be able to grasp how these enter in the solution to problems.

Applying knowledge and understanding:
The student should be able to apply the forementioned notions to solve medium level problems, and to understand how they will be used in a more applied context.

Making judgements:
The student should be able to evaluate coherence and correctness of the results obtained by himself or offered him.

Communication skills:
The student should be able to communicate in a clear and precise way, also in a context broader than mere calculus.

Prerequisites

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Course unit content

Functions depending on one variable.

Full programme

Elementary algebraic properties of the real numbers (standard
types of equations and inequations); logic and set theory.
Numerical sets: natural numbers and induction principle;
combinatoric calculus; rational numbers; real numbers and supremum
of a set; complex numbers and n-roots.
Real functions: maximum and supremum; monotonicity; odd and even
functions; powers; irrational functions; absolute value;
trigonometric, exponential and hyperbolic functions; graphs of the
elementary functions and geometric transformations of the same.
Sequences: topology; limits and related theorems; monotonic
sequences; Bolzano-Weierstrass and Cauchy theorems; basic
examples; the Neper number “e”; recursive sequences; complex
sequences.
Properties of continuous functions (including mean value,
existence of a maximum, Lipschitz continuity); limits of functions
and of sequences of real numbers; infinitesimals.
Properties of differentiable functions (including Rolle, Lagrange,
Hopital theorems); Taylor expansion (with Peano and Lagrange
remainder); graphing a function.
Indefinite and definite integral: definition and computation
(straightforward, by parts, by change of variables); integral mean
and fundamental theorems; Torricelli theorem; generalised
integrals: definition and comparison principles.
Numerical series: definition, convergence criteria, Leibniz and
integral criteria.
All statements are rigorously proved.

Bibliography

Theory and basic examples:
E. ACERBI e G. BUTTAZZO: "Primo corso di Analisi matematica", Pitagora editore, Bologna, 1997
D. MUCCI: “Analisi matematica esercizi vol.1”, Pitagora editore, Bologna, 2004

Exercises for cross-examination:
E. ACERBI: "Esami di Analisi Matematica 1", Pitagora Editore, Bologna, 2012
A. COSCIA e A. DEFRANCESCHI: "Primo esame di Analisi matematica", Pitagora editore, Bologna, 1997

Teaching methods

Lectures in classrom. Laboratory activities in smaller groups of students.

Assessment methods and criteria

The cross-examination consists in a written text divided into two parts followed by a colloquium.

Other information

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