Overview
The theory and applications of the Lebesgue integral via measure theory. Application of ideas and methods from real analysis can be used to solve a variety of problems in mathematics.
MATH423 introduces the theory of the Lebesgue integral via measure theory. The study of measure and integration shows how the application of ideas and methods from real analysis can be used to solve a variety of problems in mathematics.
About this paper
| Paper title | Measure and Integration |
|---|---|
| Subject | Mathematics |
| EFTS | 0.0833 |
| Points | 10 points |
| Teaching period | Semester 1 (On campus) |
| Domestic Tuition Fees ( NZD ) | $696.55 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Restriction
- MATH 401-412
- Limited to
- BA(Hons), BSc(Hons), PGDipArts, PGDipSci, MA (Thesis), MSc, MAppSc, PGDipAppSc, PGCertAppSc
- Contact
Mathematics 400-level programme co-ordinator: Dr Fabien Montiel.
- Teaching staff
- Paper Structure
Main topics:
Fundamentals/Review
- Riemann integral and limits, the problem of area.
- Sets and cardinality, theorems of Schröder, Bernstein, and Cantor.
- Axiom of choice, Zorn’s lemma, and the well-ordering principle.
Set Algebras
- Pi, lambda, and sigma algebras.
- Dynkin’s lambda pi theorem.
Measures
- Semi-continuity of measure, the outer measure.
- Measurable sets.
- The Caratheodory extension theorem.
- The Lebesgue measure.
The Lebesgue Integral
- Measurable functions, simple functions.
- Constructing the Lebesgue integral, basic properties.
- Lebesgue vs Riemann integral.
Key Convergence Theorems
- Monotone convergence and Fatou’s Lemma.
- The dominated convergence theorem.
- L^p spaces and completeness.
Fubini’s Theorem
- Product algebras/measures, measurability of projections.
- Tonelli’s Theorem.
- Fubini’s Theorem.
Applications and Extensions
- Fourier analysis.
- Probability theory.
- The Radon-Nikodym Theorem.
- Teaching Arrangements
Lectures: 18 lectures (50 minutes each)
Tutorials: Weekly drop-in sessions for help with assignments
- Textbooks
To be confirmed.
- Graduate Attributes Emphasised
Critical Thinking, Interdisciplinary Perspective, Lifelong Learning.
View more information about Otago's graduate attributes- Learning Outcomes
On completion of the study of this paper, students are expected to:
- Understand standard objects and results in measure theory.
- Understand the construction of the Lebesgue integral, and the key convergence theorems.
- Have a basic knowledge of applications of measure and integration to other areas of mathematics (for instance probability theory, Fourier analysis, and functional analysis)
- Understand how ideas and methods from real analysis can be used to solve a wide variety of problems in mathematics.
- Assessment details
Two written assignments (60%) and a final take home exam (40%)
Overview
The theory and applications of the Lebesgue integral via measure theory. Application of ideas and methods from real analysis can be used to solve a variety of problems in mathematics.
MATH 423 introduces the theory of the Lebesgue integral via measure theory. The study of measure and integration shows how the application of ideas and methods from real analysis can be used to solve a variety of problems in mathematics.
About this paper
| Paper title | Measure and Integration |
|---|---|
| Subject | Mathematics |
| EFTS | 0.0833 |
| Points | 10 points |
| Teaching period | Semester 1 (On campus) |
| Domestic Tuition Fees | Tuition Fees for 2027 have not yet been set |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Restriction
- MATH 401-412
- Limited to
- BA(Hons), BSc(Hons), PGDipArts, PGDipSci, MA (Thesis), MSc, MAppSc, PGDipAppSc, PGCertAppSc
- Contact
Mathematics 400-level Programme Co-ordinator: Dr Fabien Montiel
- Teaching staff
- Paper Structure
Main topics:
Fundamentals/Review
- Riemann integral and limits, the problem of area.
- Sets and cardinality, theorems of Schröder, Bernstein, and Cantor.
- Axiom of choice, Zorn's lemma and the well-ordering principle.
Set Algebras
- Pi, lambda and sigma algebras.
- Dynkin's lambda pi theorem.
Measures
- Semi-continuity of measure, the outer measure.
- Measurable sets.
- The Caratheodory extension theorem.
- The Lebesgue measure.
The Lebesgue Integral
- Measurable functions, simple functions.
- Constructing the Lebesgue integral, basic properties.
- Lebesgue vs Riemann integral.
Key Convergence Theorems
- Monotone convergence and Fatou's Lemma.
- The dominated convergence theorem.
- L^p spaces and completeness.
Fubini's Theorem
- Product algebras/measures, measurability of projections.
- Tonelli's Theorem.
- Fubini's Theorem.
Applications and Extensions
- Fourier analysis.
- Probability theory.
- The Radon-Nikodym Theorem.
- Teaching Arrangements
Lectures: 18 lectures (50 minutes each)
Tutorials: weekly drop-in sessions for help with assignments
- Textbooks
To be confirmed.
- Graduate Attributes Emphasised
Critical Thinking, Interdisciplinary Perspective, Lifelong Learning.
View more information about Otago's graduate attributes- Learning Outcomes
On completion of the study of this paper, students are expected to:
- Understand standard objects and results in measure theory.
- Understand the construction of the Lebesgue integral, and the key convergence theorems.
- Have a basic knowledge of applications of measure and integration to other areas of mathematics (for instance, probability theory, Fourier analysis, and functional analysis)
- Understand how ideas and methods from real analysis can be used to solve a wide variety of problems in mathematics.
- Assessment details
Two written assignments (60%) and a final take-home exam (40%).