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Solutions to problems from the Analysis Qualifying Exam held on January 8, 2022 at the Department of Mathematics, University of Michigan. The problems involve measurable subsets, Lebesgue differentiation theorem, and closed linear subspaces. The solutions use techniques such as contradiction, Lebesgue dominated convergence theorem, and closed linear subspace properties. The document can be useful as study notes or exam preparation material for courses in real analysis, measure theory, and functional analysis.
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Department of Mathematics, University of Michigan Analysis Qualifying Exam, January 8, 2022 Solutions
Problem 1: Let E be a measurable subset of [0, 1]. Suppose there exists α ∈ (0, 1) such that
m(E ∩ J) ≥ α · m(J) for all subintervals J of [0, 1].
Prove that m(E) = 1.
Solution 1: Let F = [0, 1] \ E. Then
m(F ∩ J) ≤ (1 − α) · m(J) for all subintervals J of [0, 1].
Assume that m(F ) > 0 and choose a cover of F by intervals Jn, n ∈ N such that
∑^ ∞
n=
m(Jn) ≤ (1 + α)m(F ).
Then
m(F ) = m
n=
Jn
n=
m (F ∩ Jn) ≤ (1−α)
n=
m (Jn) ≤ (1−α^2 )m(F ).
This contradiction implies that m(F ) = 0, and thus m(E) = 1.
Solution 2: By the Lebesgue differentiation theorem,
m(E ∩ (a − ε, a + ε) 2 ε
→ (^1) E (a) for almost all a ∈ (0, 1)
as ε → 0. Since the assumption implies that
lim inf ε→ 0
m(E ∩ (a − ε, a + ε) 2 ε
≥ α for all a ∈ (0, 1),
(^1) E = 1 a.e. on [0, 1] which means that m(E) = 1.
Problem 2: Let f, g ∈ L^1 (0, 1). Assume for all functions φ ∈ C∞([0, 1]) with φ(0) = φ(1) that ∫ (^1)
0
f (t)φ′(t) dt = −
0
g(t)φ(t) dt.
Show that f (·) is absolutely continuous and f ′^ = g.
Solution: Let a, b ∈ (0, 1), a < b. Let ε > 0 be such that
ε < min
a 2
b − a 2
1 − b 2
Define the function φε : (0, 1) → R by
φε(x) =
x−a+ε 2 ε ,^ if^ x^ ∈^ [a^ −^ ε, a^ +^ ε] 1 , if x ∈ (a + ε, b − ε) 1 − x− 2 bε+ ε, if x ∈ [b − ε, b + ε] 0 , otherwise.
We can find a sequence of C∞([0, 1]) functions ψn with ψn(0) = ψn(1) = 0 con- verging to φε in the L∞^ norm. In addition to it, the functions ψn can be chosen so that
ψ′ n →
2 ε
(^1) [a−ε,a+ε] − (^1) [b−ε,b+ε]
a.e. and ‖ψ′ n‖∞ ≤
ε
Applying the Lebesgue dominated convergence theorem, we obtain
1 2 ε
(∫ (^) a+ε
a−ε
f (t) dt −
∫ (^) b+ε
b−ε
f (t) dt
0
g(t)φε(t) dt.
Letting ε → 0 and using the Lebesgue differentiation theorem for the left hand side and the Lebesgue dominated convergence theorem for the right hand side, we conclude that
f (a) − f (b) = −
∫ (^) b
a
g(t) dt
for almost all a, b ∈ (0, 1), a < b. Since g ∈ L^1 (0, 1) the result follows.
Problem 3: Let {gn} be a sequence of measurable functions on [0, 1] such that
(a) |gn(x)| ≤ C for a.e. x ∈ [0, 1], (b) limn→∞
∫ (^) a 0 gn(x)^ dx^ =^ 0 for all^ a^ ∈^ (0,^ 1). Prove that if f ∈ L^1 (0, 1) then
lim n→∞
0
f (x)gn(x) dx = 0.
Solution: Let
V = {f ∈ L^1 (0, 1) : lim n→∞
0
f (x)gn(x) dx = 0 }.
Then V is a closed linear subspace of L^1 (0, 1). Indeed, the linearity is obvious. To show that V is closed, take f ∈ L^1 (0, 1), and let h ∈ V. Then ∣ ∣ ∣ ∣lim sup n→∞
0
f (x)gn(x) dx
∣ ≤^ lim sup n→∞
0
|f (x) − h(x)| · |gn(x)| dx ≤ C‖f − h‖ 1.
If f ∈ cl(V ), then the right hand side can be made arbitrarily small which implies that f ∈ V.