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Analysis (Course A)


Analysis (Course A)


Academic year 2024/2025

Course ID
Elena Cordero
Joerg Seiler
1st year
Teaching period
First semester
D.M. 270 TAF B - Distinctive
Course disciplinary sector (SSD)
MAT/05 - mathematical analysis
Class Lectures
Type of examination
Written and oral
Calculus and mathematical Analysis in one and several real variables. Ordinary Differential Equations.

Sommario del corso


Course objectives

The course introduces the participants to the theory of infinite-dimensional vector spaces and of linear operators between them, with a special focus on the concepts of normed vector spaces, completeness, compactness, and the different topologies which characterize the infinite dimensional vector spaces. Applications concern various spaces of functions and operators between them (in particular, integral and differential operators). The course presents basic tools of modern mathematical analysis which are of fundamental importance in many branches of pure and applied mathematics, in particular in probability theory, statistics, numerical analysis, partial differential equations and dynamical systems.


Results of learning outcomes

- Knowledge and understanding

The student will acquire knowledge and understanding of many basic tools which are of common use in the analysis of infinite dimensional vector spaces. In particular he will learn the theory of Banach and Hilbert spaces and  their dual spaces, of linear, bounded, and compact operators, and he will know the theory of distributions (generalized functions), as well as the Fourier and Laplace transform.

- Applying knowledge and understanding

He will be able to solve simple problems and exercises related to the theory (in particular, to solve simple integral or differential equations) and he will be able to rigorously prove main results of the theory. 

- Making judgements

The student will be able to select the appropriate  method to solve  problems and exercises related to the theory.

- Communication skills

Students will properly use mathematical language to prove the theorems and solve exercises related to the theory.

- Learning skills

The students will acquire critical thinking abilities, as well as capacities of collaborating. These skills will help the students to improve their learning capacities.



  • Banach spaces.
  • Linear operators.
  • Hilbert spaces, projections, orthonormal basis.
  • Generalized Fourier series.
  • Dual spaces: linear functionals, weak convergence.
  • Compactness in finite dimensional spaces.
  • Compact operators and applications to integral equations.
  • Fundamentals of spectral theories
  • Distributions (generalized functions)
  • Fourier transform
  • Laplace transform

Course delivery

The course is articulated in 72 hours of formal in‐class lecture time, and in at least 150 hours of at‐home work solving practical exercises. 

The lectures will be in presence with exceptions in accordance with the university regulations. 


Learning assessment methods

The assessment consists in a written test followed by an oral examination, after completion of the course.

The written test consists in open questions and exercises on the topics treated in class and has a duration of 180 minutes. The mark will be expressed in thirtieth; the single points (30 in total) will be distributed to the questions and exercises on the basis of their importance and length; the final score will be given by summing up the partial scores of each question and exercise. 

The oral examination is scheduled after the written test and can be given only after having passed the written test with a mark of 18 or better. The oral examination consists of questions on the written test and on the topics treated in class and listed in the examination programme (which is available to the participants on the web-site of the course).

Both written test and oral examination will result in a final mark expressed in thirtieth; the minimal mark allowed for successful assessment is 18. Otherwise, the student's performance is considered insufficient and the student has to repeat the examination (both written test and oral examination).

Both written test and oral examination must be achieved in the same examination period. 

The final grade will be a combination of the written test grades (90%) and the oral exam grade (10%).

The exams will be in presence with exceptions in accordance with the university regulations. 

Suggested readings and bibliography


  • Bryan P. Rynne and Martin A. Youngson, Linear Functional Analysis, Second Edition, Springer, 2008.
  • Dudley, R.M., Real Analysis and Probability, Cambridge University Press.
  • Hörmander, L., The Analysis of Linear Partial Differential Operators I, Distribution Theory and Fourier Analysis, Springer, 2003.
  • Royden, H.L., Real Analysis, MacMillan.
  • Rudin, W., Functional Analysis, McGraw-Hill.
  • Rudin, W., Real and Complex Analysis, McGraw-Hill.

Additional Lecture Notes will be made available to the students.


Courses that borrow this teaching


Class scheduleV

  • Closed
    Enrollment opening date
    01/09/2022 at 00:00
    Enrollment closing date
    30/06/2023 at 00:00
    Last update: 05/06/2024 12:58
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