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.
Part B2023 Juneshow ▾hide ▴
Suppose S is an infinite set. Assuming that the axiom of choice holds, which of the following is true?
A.S is in bijection with the set of rational numbers.
B.S is in bijection with the set of real numbers.
C.S is in bijection with S × S.✓
D.S is in bijection with the power set of S.
Solution
With AC, |S × S| = |S| for every infinite S. (1), (2) fix a specific cardinality; (4) contradicts Cantor's theorem.
The Cantor middle-third set C satisfies which of the following?
A.C is countable with measure zero.
B.C is uncountable with measure zero.✓
C.C is uncountable with positive measure.
D.C is countable with positive measure.
Solution
The removed intervals have total length ∑2n⁻1/3n=1, so C has Lebesgue measure 0; yet the ternary-expansion coding (digits 0 and 2) puts C in bijection with {0, 1}N, which is uncountable. Small in measure, large in cardinality.
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.
Let fn=n⋅1(0,1/n) on [0, 1] with Lebesgue measure. Which of the following are true?
A.fn→0 pointwise everywhere on [0, 1].✓
B.∫fn→0.
C.The dominated convergence theorem applies to {fn}.
D.This example is consistent with Fatou's lemma: ∫liminffn≤liminf∫fn.✓
Solution
For x > 0 the terms vanish once n > 1/x, and fn(0)=0 always, giving (1). But ∫fn=n⋅(1/n)=1 for every n, so (2) fails. (3) fails: a dominating function would need g(x)≥supnfn(x)≈1/x near 0, which is not integrable — exactly why the limit of the integrals (1) differs from the integral of the limit (0). (4) Fatou reads 0 ≤ 1, a strict inequality, which the lemma permits.
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.
Part Cshow ▾hide ▴
Which of the following are true?
A.L2[0,1]⊆L1[0,1]✓
B.L1[0,1]⊆L2[0,1]
C.ℓ1⊆ℓ2✓
D.L1(R)⊆L2(R)
Solution
Finite measure reverses the inclusion (Hölder); for sequences the inclusion goes up. On R neither holds: 1/x⋅1(0,1) is in L1 not L2, and 1/x·1(1,∞) is in L2 not L1.
Let (X,μ) be a measure space with μ(X)=1(a probability space). Which of the following are true?
A.L2(μ)⊆L1(μ).✓
B.L1(μ)⊆L2(μ).
C.For f∈L2(μ), ‖f‖1≤ ‖f‖2.✓
D.On R with Lebesgue measure, L2⊆L1 also holds.
Solution
On a finite measure space Cauchy–Schwarz gives ∫|f| =∫|f|·1 ≤ ‖f‖2‖1‖2= ‖f‖2, proving (1) and (3) at once. (2) fails: f(x) = x−1/2 on (0,1) is integrable but its square is not. (4) fails because the measure is infinite: f(x) = 1/x on (1,∞) is in L2 but not in L1 — the inclusion direction depends entirely on finiteness of the measure.