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Mathematical Analysis Complements

Academic Year 2025/2026 - Teacher: Maria Alessandra RAGUSA

Expected Learning Outcomes

The main objective of the course is to provide students with the basic elements of the Theory of Lebesgue Spaces, on issues of theory of topological linear spaces and on the existence and regularity of functional minima. The course aims to provide students with the following skills: 

1) Knowledge and understanding: Knowledge of fundamental results and methods of Real Analysis. Ability to read, understand and study in depth a topic of mathematical literature and propose it again in a clear and accurate way. Ability to understand problems and extract their substantial elements. 

2) Ability to apply knowledge and understanding: Ability to construct or solve examples or exercises and to tackle new theoretical problems, searching for the most suitable techniques and applying them appropriately. 

3) Autonomy of judgment (making judgments): Being able to produce proposals aimed at correctly interpreting complex problems in the context of Lebesgue Spaces. Be able to independently formulate relevant judgments on the applicability of theorems related to topological linear spaces. 

4) Communication skills: Ability to present arguments, problems, ideas and solutions, both one's own and others', in mathematical terms and their conclusions, with clarity and accuracy and in ways appropriate to the listeners to whom one is addressing, both in oral and written form. Ability to clearly motivate the choice of strategies, methods and contents, as well as the computational tools adopted. 

5) Learning skills: Read and study in depth a topic of the literature in the field of linear transformations and continuous transformations. Approach in an autonomous way the systematic study of topics of Lebesgue Spaces not previously explored.


To take the final exam, you must have booked on the SmartEdu portal. For any technical issues with your booking, please contact the Academic Office.


Course Structure

Frontal lessons. 

The lessons are integrated with exercises relevant to the topics covered and will be held in frontal mode. It is also specified that 35 hours of lessons are planned (typically, these are theory) and 12 hours of other activities (typically, these are exercises). 

If the teaching is taught in mixed mode or remotely, the necessary changes may be introduced with respect to what was previously declared, in order to respect the planned program and reported in the Syllabus. Students with disabilities and/or DSA must contact the teacher, the CInAP representative of the DMI and the CInAP well in advance of the exam date to communicate that they intend to take the exam using the appropriate compensatory measures (which will be indicated by the CInAP).

Required Prerequisites

In order to consciously follow the course, it is necessary to know the contents of the classic courses of Mathematical Analysis I and II. In order to take the exam, it is mandatory to have already passed the exam of Mathematical Analysis II (see Regolamento del Corso di Studi).

Attendance of Lessons

Attendance is strongly recommended (see the CDS regulations).

Detailed Course Content

Lp-spaces. L1-spaces and L\infty-spaces. Lp-spaces, 1<p<\infty. Compactness of Lp. Theory of topological linear spaces. Linear transformations. Topological spaces. Topology induced by a metric. Continuous transformations. Locally convex and separated topological linear space. Seminorms. Topology induced by a separated family of seminorms. Topological linear spaces. Linear and continuous transformations and topological linear spaces. Examples of topological linear spaces: Hilbert spaces and Banach spaces. Morrey spaces. Definition of Morrey spaces and their relation to Lebesgue spaces. Notes on regularity of minimi of functionals and Morrey spaces. Applications to Boundary Value Problems. Direct methods.

Textbook Information

[1] H. Cartan, Differential calculus on normed spaces: a course in Analysis, 2017.

 

[2] E. Giusti, Direct Methods in the Calculus of Variations, World Scientific, 2005.

[3] G. Buttazzo, M. Giaquinta, S. Hildebrandt, One-dimensional Variational Problems. An Introduction, Oxford University Press, 1998.

The teacher will also provide some notes.

Course Planning

 SubjectsText References
1H. CartanDifferential calculus on normed spaces: a course in Analys, 2017
2E. GiustiDirect Methods in the Calculus of Variations, World Scientific, 2005.
3G. Buttazzo, M. Giaquinta, S. HildebrandtOne-dimensional Variational Problems. An Introduction, Oxford University Press, 1998.
4notes of the teacher

Learning Assessment

Learning Assessment Procedures

At the end of the lessons there will be a final oral exam.

To take the final exam, you must have booked on the SmartEdu portal. For any technical issues regarding your booking, please contact the Academic Office.

Examples of frequently asked questions and / or exercises

Lebesgue spaces. Compactness in Lebesgue spaces. Minima of functionals. Regularity of minima of functionals. Morrey spaces. Relation between Morrey spaces and Lebesgue spaces.
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