Syllabus

1. Measure Theory: Sigma-algebras, measures, outer measures, completion, construction and properties of the Lebesgue measure, non-measurable sets, Measurable functions, point wise convergence, almost uniform convergence, convergence in measure.

2. Integration: Lebesgue integration, limit theorems, comparison with the Riemann integral, relationship with differentiation, functions of bounded variation and absolute continuity.

3. Signed Measures: Radon - Nikodym theorem, Lebesgue decomposition theorem, change of variable formula, Product Spaces, Fubini's theorem and applications.

4. Lp-Spaces : Holder and Minkowski inequalities, completeness, convolutions, approximation by smooth functions, duality.

5. Riesz representation theorem: Riesz representation theorem for positive linear functionals, Proof of the theorem, construction of the Lebesgue measure via this approach.

Syllabus

1. Topological Spaces: Topological spaces, Bases, Continuous maps, Subspaces, Quotient spaces, Products, Connectedness and Compactness.
2. Convergence: Nets, Filters, Limits; Convergence, Countability and Separation axioms.
3. Topological groups: Topological groups; Uniform structures, Products of Compact spaces; Compactifications.
4. Metrizability: Metrizability and Paracompactness, Complete Metric spaces and Function spaces.
5. Monodromy: Fundamental Group and Covering spaces.

https://www.isibang.ac.in/~adean/infsys/database/JRF/JTop1.html