Programmes → I.M.Sc. in Mathematical Sciences; M.Sc. Mathematics/Applied Mathematics
Measure and Integration
Course Code: MA 358; MM 452 | Credits: 4 | Prerequisite: Real Analysis-I, Linear Algebra
Syllabus Details
- Unit I: (Riemann-Stieltjes integral and outer measures) A brief review of Riemann-Stieltjes integral; functions of bounded variation; Jordan outer content.
- Unit II: Lebesgue outer measure; null sets; sigma-algebras, and measure spaces, Borel sigma-algebra in the Euclidean space.
- Unit III: (Measures, construction of measures, and Lebesgue measure) Measures; completion of a measure space; constructing measures from outer measures; Lebesgue measure and its properties; Steinhaus’ theorem and Lebesgue density theorem.
- Unit IV: (Measurable functions and limit theorems) Measurable functions; Borel and Lebesgue measurability; types of convergence for a sequence of measurable functions; Egorov’s theorem and Riesz theorem; approximating measurable functions on the Euclidean space with simple functions, step functions, and continuous functions; Lusin’s theorem.
- Unit V: Monotone convergence theorem; Fatou’s lemma; Lebesgue’s dominated convergence theorem; Lebesgue’s criterion of Riemann integrability; absolutely continuous functions and Fundamental theorem of Calculus. Vitali’s set; Vitali’s covering lemma, differentiability of monotone functions; Lebesgue’s differentiation theorem (proof optional).
- Unit VI: ($L^p$ spaces, and product measures) $L^p$ spaces; Riesz-Fischer theorem at least for $p = 1$; denseness of continuous functions with compact supports in $L^p$ for $1 \le p < \infty$; necessity and sufficiency for convergence in $L^p$; Fubini-Tonelli theorem (proof optional).
Course Learning Objective
- Interpret the theory of outer measures, sigma-algebras, and measure spaces, and solve elementary problems about them.
- Interpret the properties of Lebesgue measure, construction of measures, measurable functions, and solve elementary problems about them.
- Interpret integrable functions on measure spaces, $L^p$ spaces, and product measures, and solve elementary problems about them.
- Analyze the proofs of results in Measure Theory with a critical mind and use those results and the proof-techniques to analyze and decide, with suitable justification, whether a given statement in Measure Theory is true or false.
- Interpret the theory and theoretical structure of Measure Theory as a prerequisite for the future study subjects such as Ergodic Theory, Fourier Theory, and Operator Theory.
Recommended Books
- Apostol, Tom M., Mathematical Analysis, second edition, Addison-Wesley Publishing Co., Reading, Mass.-London-Don Mills, Ont., 1974.
- Bartle, Robert G., The Elements of Real Analysis, second edition, John Wiley & Sons, New York-London-Sydney, 1976.
- Royden, H. L., Real Analysis, third edition, Macmillan Publishing Company, New York, 1988.
- de Barra, G., Measure Theory and Integration, New Age International Pvt. Limited, 1981.