1. Sigma-Algebras and Measurable Spaces
2. Measures
3. Lebesgue Outer Measure and Caratheodory Extension
4. Lebesgue Measurable Sets and Non-Measurable Sets
5. Measurable Functions
6. Lebesgue Integration
7. $L^p$ Spaces
8. Fubini and Tonelli Theorems
9. Radon-Nikodym Derivative and Lebesgue Decomposition
10. Summary of Key Results

University-level measure theory notes covering sigma-algebras, measures, and Lebesgue integration.

• Sigma-Algebras and Measures: Definitions, properties, measurable spaces
• Lebesgue Measure: Outer measure, Caratheodory extension, non-measurable sets
• Lebesgue Integration: Convergence theorems, Fatou”s lemma, dominated convergence
• Lp Spaces: Norms, completeness, dual spaces

• Real analysis (sequences, series, continuity, differentiation)
• Basic topology (open sets, compactness)
• Mathematical proofs and logic

Start with sigma-algebras and measures to build foundational knowledge, then progress to Lebesgue integration and Lp spaces. Each section includes worked examples and practice problems.

Use the sidebar to browse topics, or start with the introductory pages linked from the sidebar.

Each section includes:

• Detailed explanations of key concepts
• Worked examples with step-by-step solutions
• Practice problems with answers
• Common pitfalls and how to avoid them
• Connections to other areas of mathematics

1. Master the definitions: Measure theory requires precise understanding of sigma-algebras and measures
2. Practise proofs: Learn to write clear, rigorous proofs
3. Draw diagrams: Visualise measurable sets and functions
4. Learn standard examples: Know the properties of Lebesgue measure and integration
5. Connect to analysis: Relate measure theory to real analysis and probability