ANALISI MATEMATICA II M - Z

Academic Year 2025/2026 - Teacher: ANDREA SCAPELLATO

Expected Learning Outcomes

The aim of the course of Mathematical Analysis II is to give the basic skills on the following topics: functions of several real variables, limits and continuity of functions of several real variables, Differential Calculus for real function of several real variables, Integral Calculus for real function of several real variables, curves, surfaces, vectorial fields (resp., differential forms), sequences of functions, series of functions.

 

In particular, the learning objectives of the course, according to the Dublin descriptors, are:

      Knowledge and understanding: The student will learn some basic concepts on functions of several real variables and will develop both computing ability and the capacity of manipulating some common mathematical objects of Mathematical Analysis related to functions of several variables, as limits, partial and directional derivatives of functions of several variables, multiple integrals, vectorial fields (resp., differential forms), sequences of functions, series of functions.

      Applying knowledge and understanding: The student will be able to apply the acquired knowledge in the basic processes of mathematical modeling of classical problems arising from Engineering.

      Makin​g judgements: The student will be stimulated to autonomously deepen his/her knowledge and to carry out exercises on the topics covered by the course. Constructive discussion between students and constant discussion with the teacher will be strongly recommended so that the student will be able to critically monitor his/her own learning process.

      Communication skills: The attendance of the lessons and the reading of the recommended books will help the student to be familiar with the rigor of the mathematical language. Through constant interaction with the teacher, the student will learn to communicate the acquired knowledge with rigor and clarity, both in oral and written form. At the end of the course the student will have learned that mathematical language is useful for communicating clearly in the scientific field.

      Learning skills: The student will be guided in the process of perfecting his/her study method. In particular, through suitable guided exercises, he/she will be able to independently tackle new topics, recognizing the necessary prerequisites to understand them.

Course Structure

Theory lectures and exercises related to the topics covered will be offered. Theory lectures and exercises will be carried out in frontal mode.

For the course of Mathematical Analysis II, 28 hours of theory and 30 hours of other activities (typically, these are exercises) are expected.

Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the program planned and outlined in the Syllabus.

Required Prerequisites

In-depth knowledge of the contents of Mathematical Analysis I.

Attendance of Lessons

Lecture attendance is compulsory.

Detailed Course Content

1.    Functions of several variables: introduction, limits and continuity. 

Topology of R2 and R3. Scalar functions of several real variables. Vector functions of several variables. Vector fields. Definitions of limits for functions of several real variables. Theorems on limits. Definition of continuous function. Properties of continuous functions. Weierstrass's theorem. Intermediate value theorem.

2.     Differential Calculus for functions of several variables. 

Partial derivatives. Gradient. Directional derivatives. Differentiability. Relationship between differentiability, continuity, and the existence of partial derivatives. Derivatives of composite functions. Directional derivatives. Successive derivatives. Schwartz's theorem. Hessian matrix. Functions with zero gradient on a connected set. Taylor's formula. General information on quadratic forms, definite, semidefinite, and indefinite matrices. Free local maxima and minima. Notes on convex functions.

3.     Multiple integrals.

    • Introduction. Measure of a set. Measurable sets and negligible sets. Multiple integral of a bounded function. Properties of multiple integrals: linearity, monotonicity, integral over a negligible set, additivity with respect to the domain.
    • Double integrals. Integration of a continuous function on a set normal to the x-axis and on a set normal to the y-axis. Change of variables theorem in double integrals. Polar coordinates and elliptic coordinates in the plane.
    • Triple integrals. Integration for wires parallel to a coordinate axis and for layers parallel to a coordinate plane. Change of variables theorem in triple integrals. Polar (or spherical) coordinates and cylindrical coordinates in space.
    • Applications. Mass, center of gravity, moment of inertia, and volume of a solid of revolution.

4.     Integrals on curves and surfaces.

·       Parametric curves. Definition of a parametric curve, support of a curve, simple curve, closed curve, regular curve, piecewise regular curve, tangent vector to a curve at a point, orientation induced by a curve on the support, equivalent curves. Properties of equivalent parametric curves.

·       Parametric surfaces. Parametric surfaces in R3, definition of a parametric surface, support, simple and regular surface, regular cap. Plane tangent to a surface at a point. Normal vector and unit vector normal to a surface at a point. Orientation induced by a surface on the support. Equivalent surfaces. Properties of equivalent surfaces.

·       Line integrals.

       Line integral of first kind. Definition of the curvilinear integral of the first kind of a continuous real function on a regular curve and on a piecewise regular curve, rectifiable curves, length of a curve, rectifiability theorem for class C1 curves, independence of the curvilinear integral of the first kind from the parametrization.

       Line integral of second kind. Definition of the line integral of a continuous vector field along a regular curve and along a piecewise regular curve. Circulation of a vector field along a curve. Dependence of the line integral of a vector field on the orientation induced by the parametrization on the curve.

·     Surface and flux integrals. Surface integral of a continuous real function on a surface. Area of a regular cap. Area of the graph of a function of two real variables. Independence of the surface integral of a function from the parametrization of the surface. Flux integral or flux of a continuous vector field through a surface. Dependence of the flux integral of a vector field on the orientation induced by the parametrization on the surface.

·     Green, Stokes and Gauss theorems. Sets with positively oriented boundaries. Green's theorem (or Gauss-Green formula in the plane). Measure of a bounded set in the plane whose boundary is positively oriented. Boundary of a regular cap. Boundary of a positively oriented cap. Stokes' (or rotor) theorem. Invariance of the rotor flux with respect to a regular cap. Open set with boundary in R3. Gauss' (or divergence) theorem. Rotor flux of a vector field through the boundary of a bounded subset of R3.

5.      Sequences and series of functions.

      Sequences of functions. General information on sequences of functions. Pointwise convergence and uniform convergence of a sequence of functions.

      Series of functions. Definition of a series of functions. Pointwise convergence. Sum of a series of functions. Power series: definition of a power series, radius of convergence. Set of pointwise convergence of a power series, Root Theorem (or Cauchy-Hadamard Theorem), Ratio Theorem (or D'Alembert Theorem), continuity of the sum of a power series, integration theorems and term-by-term differentiation for power series. Taylor series expansion.


Teaching’s contribution to the Goals of the Agenda 2030 for Sustainable Development:

GOAL 4: Quality education. Ensure inclusive and equitable quality education and promote lifelong

learning opportunities for all.

Textbook Information

      Recommended books for the Theory:

[T1] C. Canuto, A. Tabacco, Mathematical Analysis 2, Pearson (2023).

      Recommended books for the Exercices:

[E1] C. Canuto, A. Tabacco, Mathematical Analysis 2, Pearson (2023).

Course Planning

 SubjectsText References
1Functions of several variables: introduction, limits and continuity (Estimated hours: 3 hours of theory and 3 hours of exercises)[T1], [E1]
2Differential Calculus for functions of several variables (Estimated hours: 6 hours of theory and 6 hours of exercises)[T1], [E1]
3Multiple integrals (Estimated hours: 5 hours of theory and 7 hours of exercises)[T1], [E1]
4Integrals on curves and surfaces (Estimated hours: 5 hours of theory and 5 hours of exercises)[T1], [E1]
5Sequences and series of functions (Estimated hours: 6 hours of theory and 6 hours of exercises)[T1], [E1]

Learning Assessment

Learning Assessment Procedures

The exam of Mathematical Analysis II consists of a written test and of an oral test. Once the written test has been passed, the student will have to take the oral test.

 

Dates of the exam sessions.

The dates of the exam sessions are available on the degree course website.

 

Structure of the written test.

Four exercises will be proposed in the written test and it lasts 120 minutes.

 

Evaluation of the written test.

The maximum score obtainable in the written test is 30/30. The written test is considered passed if the student has achieved a score of at least 18/30. A score will be assigned to each exercise. Each exercise will be assigned the maximum score expected if and only if it is carried out correctly. Otherwise, a partial score will be assigned that will be determined based on the errors made. In the event that the total score is greater than or equal to 15 and less than 18, the Examination Commission may admit the student to the oral exam with reservations and may require some preliminary exercises to the student.

Oral exam.

The oral exam covers all the contents of the course (see the section “Detailed Course Contents” in the Syllabus related to Module A and in the Syllabus related to Module B). The final evaluation will take into account the outcome of the written exam. The schedule of the oral tests will be prepared by the Examination Commission. If the student does not pass the oral exam or decides not to show up for the convocation, it will be necessary to take the exam again according to Mode 2.

 

 

Grading criteria.

Written and oral tests will assess students' understanding of the topics covered in the course and their ability to use the relevant language. A successful exam requires a complete and accurate presentation of definitions, statements, and examples. Assessment of content acquisition also includes theorem proofs, where applicable. The final grade is expressed in thirtieths according to the following table:

  • NOT PASSED (<18): The student demonstrates a poor and fragmented knowledge of the subject matter, exhibits serious comprehension errors and do not present the contents in an acceptable manner;
  • 18-21: The student demonstrates limited knowledge and a basic understanding of the subject matter, presents the contents unclearly and with little precision;
  • 22-24: The student demonstrates an acceptable knowledge and a basic understanding of the subject matter, presents the contents correctly but not in a fully structured way;
  • 25-27: The student demonstrates a broad knowledge and adequate understanding of the subject matter, presents the contents correctly but not in a complete way;
  • 28-29: The student demonstrates an in-depth knowledge and a solid understanding of the subject matter, presents the contents clearly and in a fully structured way;
  • 30-30 cum laude: The student demonstrates a complete and detailed knowledge and an excellent understanding of the subject matter, presents the contents clearly and in a fully structured way.

 

Note. Information for students with disabilities and / or SLD.

To guarantee equal opportunities and in compliance with the laws in force, interested students can ask for a personal interview in order to plan any compensatory and / or dispensatory measures, based on the didactic objectives and specific needs. It is also possible to contact the referent teacher CInAP (Center for Active and Participated Integration - Services for Disabilities and / or SLD) of the Department of Electrical, Electronic and Computer Engineering.

Note. Verification of learning can also be carried out electronically, should the conditions require it. In this case, the duration of the written test may be subject to change.

Examples of frequently asked questions and / or exercises

All the topics mentioned in the program can be requested during the exam.

The attendance of the lessons, the study of the recommended texts and the study of the material provided by the teacher (handouts and collections of exercises carried out and proposed) allow the student to have a clear and detailed idea of ​​the questions that may be proposed during the exam.

An adequate exposition of the theory involves the use of the rigorous language characteristic of the discipline, the exposition of simple examples and counterexamples that clarify the concepts exposed (definitions, propositions, theorems, corollaries).

The main types of exercises related to the Module A of the course of Mathematical Analysis I are:

      Limits of real functions of several real variables, analysis of the continuity, existence of partial/directional derivatives, analysis of the differentiability of real functions of several real variables.

      Finding the free and constrained extrema of real functions of several real variables.

      Finding the global extrema of real functions of several real variables.

      Calculation of double integrals and triple integrals.

      Calculation of line integrals.

      Calculation of surface integrals and flux integrals.

      Study of the conservative vector fields and finding of the potentials of conservative vector fields. Study of exact differential forms and finding of the primitives of and exact differential form.

      Calculation of line integrals of vector fields (resp., differential forms).

      Study of the convergence of a power series.