CALCULUS 1
cod. 1003928

Academic year 2024/25
1° year of course - Annual
Professor responsible for the course unit
Luca Francesco Giuseppe LORENZI
integrated course unit
12 credits
hub: PARMA
course unit
in ITALIAN

Course unit structured in the following modules:

Learning objectives

Knowledge and understanding.

At the end of the lectures, students should have acquired knowledge and understanding of the numerical fields N, Q, Z and R, of the numerical sequences and series and of the differential and integral calculus for functions of one variable.
This course will contribute to makng students able to understand advanced texts in Mathematics and to consult research papers in mathematics.


Applying knowledge and understanding.

By means of the classroom exercises students learn how to apply the theoretical knowledges to solve concrete problems, such as optimization problems.


Making judgements.

Students must be able to evaluate coherence and correctness of results obtained by themselves or by others. Students should be also able to produce precise mathematical arguments clearly identifying the assumptions and the conclusions.

Communication skills.

Students must be able to communicate in a clear and precise way mathematical statements in the field of study, also in a context broader than mere calculus. Through the front lectures and the assistance of the teacher, the students acquire the specific and appropriate scientific vocabulary.
This course contributes to making the students able to work in groups and to work with a good degree of autonomy.


Learning skills.

The student who has attended the course, is able to deepen
autonomously his/her knowledge of numerical sequences, differential
calculus for functions of one variable, starting from the basic and
fundamental knowledges provided by the course. He/She will be also able
to consult specialized textbook, even outside the topics illustrated during
the lectures. This to facilitate the learning of the other activities of the
degree course in Mathematics, which use notions from Mathematical
Analysis. This course contributes to furnishing a flexible mindset to the
student, which helps him/her to easily enter into the labour market, being able to face new problems. Moreover, the course contributes, together
with other courses of the bachelor program, to making the student
able to acquire new knowledges in the mathematical fields but also in the
labour market field, through an autonomous study. Finally, the course
contributes to making the student able to continue the studies in Mathematics or in other scientific disciplines with a high degree of autonomy.

Prerequisites

Elementi di Matematica

Course unit content

The course aims at providing students with the fundamental notions of the numerical sets and with the fundamental concepts of infinitesimal and integral calculus for functions of one variable and of numerical sequences and series.

Full programme

1. Real numbers.

Axiomatic definition of real numbers, maximum, minimum, least upper and greatest lower bound; integer part and modulus of real numbers; powers, roots, n-th roots of non-negative numbers; rational and irrational numbers and their density in the set of all the real numbers; intervals, distance; neighborhoods, accumulation points, isolated points, interior points; closed sets, open sets, frontier. The principle of induction.


2. Sequences of real numbers.

The concept of numerical sequence, convergent and divergent sequences, uniqueness of the limit; infinitesimal sequences; subsequences, a criterion for the non existence of the limit of a sequence; limit of the sum, product, quotient of sequences, permanence of the sign, comparison theorems; monotone sequences; the Nepero’s number; sequences defined by recurrence. Cauchy sequences. Bolzano-Weierstrass theorem.


3. Functions and limits.

One to one, surjective and bijective functions; inverse functions; graphs; monotone functions; exponential, and logarithmic functions. Limits of functions with real values, uniqueness of the limit, limits of the restrictions; limit of the sum, product, quotient of two functions; permanence of the sign, comparison theorems; right and left limits; limits of monotone functions.

4. Continuity.

The concept of continuous function, restrictions of continuous functions, composition of continuous functions; sum, product, quotient of continuous functions; examples of continuous functions; discontinuity, examples of discontinuous functions; zeroes of continuous functions defined in an interval; continuity and intervals; continuity and monotonicity; continuity of inverse functions; Weierstrass theorem.


5. Differential calculus.

Incremental ratio, derivatives, right and left derivatives; geometrical meaning of the derivative; derivation rules: derivatives of the sum, product, quotient of two functions; derivatives of composite functions and inverse functions; derivatives of elementary functions; relative maxima and minima; stationary points; connection between the monotonicity and the sign of the derivative; Rolle's theorem and Lagrange's theorem and their geometrical interpretation, Cauchy's theorem and de l'Hopital's theorem.
Taylor expansion with Peano's and Lagrange's form of the remainder.

6. Convexity.

Convex functions, monotonicity of
incremental ratios, relation between
convexity, first derivative and sign of the second derivative. Tangent lines and half-lines.

7. Riemann Integrals.

Partitions of an interval; Riemann sums; Riemann integral; integrability of monotonic functions and of continuous functions; integral mean; fundamental theorem of integral calculus; primitives; integration by parts; integration by substitution; integration of rational functions.

8, Series.

Definitions; convergent, divergent and undetermined series; series with positive terms, comparison, ratio and root tests; absolute convergence, Leibniz criterion; examples: geometric series, telescopic series, generalized harmonic series, alternating harmonic series.


9. Improper integrals.

Definition for bounded and unbounded intervals, convergence of the integral, absolute convergence, comparison tests. Integral test for series.


10. Uniformly continuous functions.

The concept of uniform continuity, main properties of uniformly continuous functions, Heine-Borel theorem, Lipschitz regularity, proof of the integrability of continuous functions over closed and bounded intervals.


11. Complements

Inferior and superior limit of sequences. Convex functions as integrals of increasing functions.

Bibliography

Theory

D. Addona, B. Gariboldi, L. Lorenzi: AM1 - Analisi Matematica 1, Ed. Esculapio, 2022.

E. Acerbi, G. Buttazzo: Primo corso di Analisi Matematica, Universitas Ed. Parma, 2023.

Exercises

D. Addona, B. Gariboldi, L. Lorenzi: AM1 - Analisi Matematica 1 - Esercizi, Ed. Esculapio, 2023.

S. Salsa, A. Squellati: Esercizi di Analisi matematica 1, Ed. Zanichelli, 2023.

Teaching methods

The course schedules 5 hours per week of lectures and classroom exercises. During the lectures the fundamental properties of the numerical sets will be illustrated and basic results of calculus, integration for functions of one variable will be analyzed and discussed. Students will be provided also with the basic results on sequences and series of real numbers. The classroom exercises aim at showing how and where the abstract results can be applied to make the students understand better the relevance of what they are studying.

The didactic activities of the first half of the course are developed with the help of a tablet PC which projects on a screen the notes the teacher is writing. At the end of each lesson, a pdf file with the notes of the lecture is uploaded on the elly website.

The didactic activities of the second half of the course are developed in a traditional way using a blackboard.

Assessment methods and criteria

The exam consists of a written part and an oral part in different dates. An evaluation in itinere on the topics of the first part of the course is planned and the date will be communicated as soon as possible.
The written part (or the evaluation in itinere) is based on exercises (indicatively 3 or 4) and it is aimed at evaluating the skills of the student in applying the abstract results proposed during the course to some concrete situations. The maximum score of the written part of the exam is 30. The written part is successful if the student reaches a score non inferior to 18. For students who have undergone the written test scheduled in the first semester, the written test will just focus on the program of the second part of the course and the vote of both the two parts should be at least 18.. For all the other students, it will cover the whole program of the course.

The oral part is aimed at evaluating 1) the knowledge of the abstract results seen during the course and their proofs 2) the correct use of the mathematical terms, 3) the knowledge of those arguments which have not been included into the written test. The final vote will be given by a weighted average of the votes of the written and oral part of the exam.

Other information

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2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.scienze@unipr.it
T. +39 0521 905116

Quality assurance office

Education manager
dott.ssa Giulia Bonamartini

T. +39 0521 906968
E. servizio smfi.didattica@unipr.it
E. del manager giulia.bonamartini@unipr.it

President of the degree course

Prof. Luca Lorenzi
E. luca.lorenzi@unipr.it

Faculty advisor

Prof. Luca Lorenzi
E. luca.lorenzi@unipr.it

Career guidance delegate

Prof. Francesco Morandin
E. francesco.morandin@unipr.it

Tutor Professors

Prof. Emilio Acerbi
E. emilio.acerbi@unipr.it

Prof. Marino Belloni
E. marino.belloni@unipr.it

Prof.ssa Maria Groppi
E. maria.groppi@unipr.it

Prof.ssa Chiara Guardasoni
E. chiara.guardasoni@unipr.it

Prof. Luca Lorenzi
E. luca.lorenzi@unipr.it

Prof. Costantino Medori
E. costantino.medori@unipr.it

Prof. Adriano Tomassini
E. adriano.tomassini@unipr.it

Erasmus delegates

Prof.ssa Fiorenza Morini
E. fiorenza.morini@unipr.it

Quality assurance manager

Prof.ssa Maria Groppi
E. maria.groppi@unipr.it

Tutor students

Dott. Matteo Mezzadri
E. matteo.mezzadri@studenti.unipr.it