Contents
1.1Definition and Some Characterizations
1.2Advantages and Some Disadvantages
3Measure and Measurable Functions
3.1Measure on an Arbitrary σ-Algebra
3.1.2Generated σ-algebra and Borel σ-algebra
3.1.3Restrictions of σ-algebras and measures
3.1.4Complete measure space and the completion
3.1.5General outer measure and induced measure
3.2Some Properties of Measures
3.3.1Probability space and probability distribution
3.3.2Further properties of measurable functions
3.3.3Sequences and limits of measurable functions
3.3.4Almost everywhere properties
3.4Simple Measurable Functions
3.4.1Measurability using simple measurable functions
3.4.2Incompleteness of Borel σ-algebra
4Integral of Positive Measurable Functions
4.1Integral of Simple Measurable Functions
4.2Integral of Positive Measurable Functions
4.2.1Riemann integral as Lebesgue integral
4.2.2Monotone convergence theorem(MCT)
4.3Appendix: Proof of the Radon-Nikodym Theorem
5Integral of Complex Measurable Functions
5.1Integrability and Some Properties
5.1.1Riemann integral as Lebesgue integral
5.1.2Dominated convergence theorem(DCT)
5.2.1Hölder’s and Minkowski’s inequalities
5.2.3Denseness of Cc(Ω) in Lp(Ω) for 1 ≤ p < ∞
5.3.1Indefinite integral and its derivative
5.3.2Fundamental theorems of Lebesgue integration
6Integration on Product Spaces
6.2Product σ-algebra and Product Measure
6.4.1σ-finiteness condition cannot be dropped
6.4.2Product of complete measures need not be complete
7.1.1Definition and some basic properties
7.1.2Fourier transform as a linear operator
7.1.3Fourier inversion theorem