NETMaths

Lebesgue Measure and Integration

1. Measurable sets and functions

Exam focus: Measure zero, countable additivity and 'almost everywhere' are the workhorses. Know that measurable ⊋ Borel and that a non-measurable set requires the axiom of choice.

Lec-11 Measurable sets

NPTEL · Measure and Integration

Lec-13 Characterization of Lebesgue measurable sets

NPTEL · Measure and Integration

Lec-14 Measurable functions

NPTEL · Measure and Integration

Measurability is preserved by every pointwise limit operation — the key advantage over Riemann.

2. Lebesgue integral, MCT, DCT, Fatou

Exam focus: Pick the right convergence theorem: MCT (increasing, non-negative), Fatou (inequality, always), DCT (needs a dominating integrable g). The moving-bump examples show what happens without domination.

Lec-19 Monotone convergence theorem & Fatou's Lemma

NPTEL · Measure and Integration

MCT and Fatou, with the inequality direction made explicit.

Lec-20 Properties of Integral functions & Dominated Convergence Theorem

NPTEL · Measure and Integration

DCT — note exactly where the dominating function is used.

Lec-22 Lebesgue Integral and its properties

NPTEL · Measure and Integration

3. L^p spaces essentials

Exam focus: L^p inclusions go one way on finite measure spaces and the other way for ℓ^p — getting the direction right is most of the battle.

Lec-34 Lp - spaces

NPTEL · Measure and Integration

Hölder, Minkowski and completeness (Riesz–Fischer).

Lec-35 L2(X,S,mue)

NPTEL · Measure and Integration

Why L² is the only Hilbert space in the family.