# 85161 - Measure Theory

### Course Unit Page

• Teacher Andrea Brini

• Credits 6

• SSD SECS-S/06

• Language English

• Campus of Bologna

• Degree Programme Second cycle degree programme (LM) in Statistical Sciences (cod. 9222)

• Course Timetable from Feb 15, 2023 to Mar 17, 2023

## Learning outcomes

By the end of the course the student is familiar with the basic concepts and results of Lebesgue measure theory (outer measure, measurable sets and connections with topology, Borel sigma algebra) as well as of Lebesgue theory of integrals (measurable functions/random variables, convergence theorems, the Fubini/Tonelli theorem for multivariate integration).

## Course contents

I) Outer measure and Lebesgue measure in R ^ n.

1.1 On the cardinality of infinite sets. Countable sets

1.2 Lebesgue coverings

1.3 Outer measure in R ^ n

1.4 Measurable subsets of R ^ n

1.5 Fundamental properties of the Lebesgue measure and of measurable sets

1.6  Limit theorems for "nested" sequences of measurable sets

1.7 Measurability and topology. Sigma-algebras

1.8 Sigma-algebra generated by a family of subsets. The Borel Sigma-Algebra of R ^ n

1.9 The Borel Sigma-Algebra B(R) of R

1.10 Borel sets, measureable sets and inner measure

1.11 Coordinate transformations and invariance properties of the Lebesgue measure

II) Measurable functions and the  Lebesgue integral

2.1 Measurable functions

2.2 The Riemann integral

2.3 The Lebesgue integral for Simple Functions

2.4 The Lebesgue integral for limited functions with a domain of finite measure

2.5 The Lebesgue integral for non-negative measurable functions

2.6 Summable functions oand the general Lebesgue integral

III) Calculation of measures and integral for domains in R ^ n: the Fubini-Tonelli theorem and "multiple integrals"

2)H.L. Royden, Real Analysis, The Macmillan Company, 1968

## Teaching methods

We will introduce general concept and methods pertaining to the Theory of Lebesgue measure and integrals R^n .

We also analyze some concrete problems, in order to stimulate the student to find solutions in an autonomous way.

## Assessment methods

The examination consists of an oral examination lasting 45 minutes. Will occur 'the student's competency both in terms of acquisition of concepts and methods, with application to concrete cases.

The student will carefully study five proofs at his own choice
(among the proofs explained in the couse). One of them might be
discussed during the exam.

## Office hours

See the website of Andrea Brini