Introduction to Functional Analysis and Measure Theory

Academic year 2026/2027
Lecturer Luigi Ambrosio

Examination procedure

Written

Examination procedure notes

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Prerequisites

The course is targeted to Math students in the III year, but also Physics students are welcome

Syllabus

ABSTRACT MEASURE THEORY


Rings, algebras, and sigma-algebras

Additive and sigma-additive set functions

Measurable and measure spaces

Measure constructions and the Dynkin Lemma

Hausdorff and Lebesgue measures

Regularity properties


INTEGRATION


Simple and measurable functions

Integral of measurable functions

Lusin, Egorov, and Ulam theorems

Jensen's inequality

Convergence of integrals: Levi, Fatou, Lebesgue, and Vitali-Hahn-Saks


MEASURE OPERATIONS


Transport and change-of-variables formula

Products: Fubini-Tonelli theorem

Radon-Nikodym theorem

Covering theorems and applications to the differentiation of measures

Fundamental theorem of integral calculus


FUNCTIONAL ANALYSIS


Hilbert spaces: Riesz theorem, Bessel's inequality, Parseval's identity


Banach spaces:


- Banach-Steinhaus, open mapping, and closed graph theorems


- reflexivity, weak and strong topologies, Banach-Alaoglu-Bourbaki theorem, Mazur's lemma.


DUALITY AND WEAK CONVERGENCE


L^p spaces: compactness criteria with respect to strong and weak convergence


Dual of C(K) and applications, weak convergence criteria of measures, and Prokhorov's theorem


Bibliographical references

H. Brezis: Analyse Fonctionelle

W. Rudin: Real and Complex Analysis

L.Ambrosio, G.Da Prato, A.Mennucci: Introduction to Measure Theory and Integration