ANALYSIS QUALIFYING EXAM PROBLEMS BRIAN LEARY ...

ANALYSIS QUALIFYING EXAM PROBLEMS
BRIAN LEARY
Contents
Spring 2011 1
Fall 2010 7
Spring 2010 13
Fall 2009 19
Spring 2009 23
Fall 2008 28
Spring 2008 33
Fall 2007 38
Winter 2007 43
I make no claims about the infallibility of these solutions. In addition to my own
solutions, I also received considerable aid from Ben Hayes and Quinn Maurmann,
as well as the previous work by William Meyerson, Dave Gaebler, and Jon Handy.
Spring 2011
Problem 1: (a) Define what it means to say that fn → f weakly in L 2 ([0, 1]).
(b) Suppose fn ∈ L 2 ([0, 1]) converge weakly to f ∈ L 2 ([0, 1]) and define
‘primitive’ functions:
Fn(x) :=
x
0
fn(t)dt and F (x) =
x
0
f(t)dt.
Show that Fn, F ∈ C([0, 1]) and that Fn → F uniformly on [0, 1].
Proof. (a) We say that fn → f weakly in L 2 ([0, 1]) if for all g ∈ L 2 ([0, 1]),
we have
1
0
fn(x)g(x)dx →
1
0
1
f(x)g(x)dx as n → ∞.

2 ANALYSIS QUALS
(b) WLOG, assume 0 ≤ y ≤ x ≤ 1. Then
x y
|Fn(x) − Fn(y)| =
fn(t)dt − fn(t)dt
0
0
x
=
fn(t)dt
y
1
=
fn(t)χ [y,x](t)dt
≤
≤
0
1
0
1
Hence, Fn ∈ C([0, 1]).
Similarly,
0
|fn(t)| χ [y,x](t)dt
|fn(t)| 2 dt
1/2 1
χ [y,x](t)
0
2 1/2
dt
= fn L 2 (x − y) 1/2 → 0 as x − y → 0.
|F (x) − F (y)| ≤ f L 2 (x − y) 1/2 ,
so F ∈ C([0, 1]) as well. It is left to show that Fn → F uniformly on
[0, 1].
Note that x ↦→ |Fn(x) − F (x)| is a continuous function on [0, 1], so
as [0, 1] is compact, it attains a maximum. Thus, there exists y ∈ [0, 1]
such that
|Fn(x) − F (x)| ≤ |Fn(y) − F (y)|
for every x ∈ [0, 1]. Let ε > 0. Note that χ [0,y] ∈ L 2 ([0, 1]). As fn → f
weakly, we may choose N such that
1
1
fn(t)χ [0,y](t)dt − f(t)χ [0,y](t)dt
< ε when n ≥ N.
0
0
Let x ∈ [0, 1] and suppose n ≥ N. Then we have that
1
1
|Fn(x) − F (x)| ≤ |Fn(y) − F (y)| =
fn(t)χ [0,y](t)dt − f(t)χ [0,y](t)dt
< ε.
Thus, Fn → F uniformly.
0
Problem 5: (a) Show that l ∞ (Z) contains continuum many functions xα :
Z → R obeying
xα l ∞ = 1 and xα − xβ l ∞ ≥ 1 whenever α = β.
(b) Deduce (assuming the axiom of choice) that the Banach space dual of
l ∞ (Z) cannot contain a countable dense subset.
(c) Deduce that l 1 (Z) is not reflexive.
0

ANALYSIS QUALS 3
Proof. (a) First, we note that P(Z), the power set of Z, contains continuum
many elements. For α ∈ P(Z), α = ∅, let xα = χα, the
characteristic function of α. Then |xα L ∞ = 1. But for α = β, there
exists n ∈ α∆β. Then |xα(n) − xβ(n)| = 1, so xα − xβ L ∞ ≥ 1.
(b) Assume for sake of contradiction that l ∞ (Z) ∗ has a countable dense
subset {fn}. That is, l ∞ (Z) ∗ is separable.
For each n, choose yn ∈ l ∞ (Z) such that |fn(yn)| ≥ 1
2 fn. Let S be
the set of linear combinations of {yn} with rational coefficients. Then
S is countable. We claim S = l ∞ (Z). If not, S is a closed proper
subspace of l ∞ (Z). By the Hahn-Banach theorem, we may choose
f ∈ l ∞ (Z) ∗ such that f(y) = 0 for all y ∈ S, but f = 1.
Choose {fnj } for our countable dense set such that fnj − f → 0 as
j → ∞. But
fnj − f ≥ fnj (ynj ) − f(ynj ) = fnj (ynj ) ≥ 1
fnj .
2
Thus, we must have
fnj → 0, so f = 0, which contradictions the
assumption that S was a proper subspace. Hence, l∞ (Z) is separable.
Thus, we let {yn} be a countable dense set in l∞ (Z). We have that
for every ε > 0 and for every non-empty α ∈ P(Z), there exists n
such that yn − xαL∞ < ε. But there are uncountably many xα with
xα − xβ ≥ 1 if α = β, so by the Pigeonhole Principle (and Axiom of
Choice), the xα’s cannot all be approximated by the yn’s, so we have
a contradiction to the assumption that l∞ (Z) ∗ has a countable dense
subset.
(c) By definition, l1 (Z) reflexive means that l1 (Z) ∼ = (l1 (Z)) ∗∗ . But l1 (Z)
is separable, and (l1 (Z)) ∗∗ ∼ = (l∞ (Z)) ∗ is not separable by part (b).
Hence, l1 (Z) is not reflexive.
Note: I lost a point on the qual with this solution for not elaborating
on the fact that l1 (Z) is separable. I don’t know whether they wanted
me to prove this, or just mention a countable dense set. For the record,
the set of linear combinations with rational coefficients of the sequences
ek consisting of all zeroes with 1 in the kth spot is a countable dense
set.
Problem 6: Suppose µ and ν are finite positive (regular) Borel measures on
R n . Prove the existence and uniqueness of the Lebesgue decomposition:
There are a unique pair of positive Borel measures µa and µs so that
µ = µa + µs, µa

4 ANALYSIS QUALS
X fndν → a. Let gn = max{f1, . . . , fn}. Then gn ∈ F for all n. Furthermore,
gn increases pointwise to f = sup{fn}. Then
X gndν → a, and by
the monotone convergence theorem, a =
fdν and f ∈ F.
X
Define dµs = dµ − fdν, and dµa
= fdν. Then if ν(E) = 0, we have that
E fdν = 0, so µa 0 and E ∈ M such that ν(E) = 0
and E is a positive set for µs−εν. That is, µs ≥ εν on E. But then εχEdν ≤
χEdµs, so εχEdν ≤ χE(dµ−fdν), which implies that (εχE +f)dν ≤ µ(E).
But this contradicts our selection of a as the supremum of all such integrals.
Therefore, we conclude that µs ⊥ ν. This completes the proof.
Problem 7: Prove Gorsat’s theorem: If f : C → C is complex differentiable
(and so continuous), then for every triangle ∆ ⊂ C
f(z)dz = 0
∂∆
where line integral is over the three sides of the triangle.
Solution. Let ∆ be a closed triangle in C and let a, b, c be the vertices of ∆.
Let a ′ , b ′ , c ′ be the midpoints of [b, c], [a, c], [a, b], respectively. Consider the
four triangles ∆ j , j = 1, 2, 3, 4, with vertices {a, c ′ , b ′ }, {b, a ′ , c ′ }, {c, b ′ , a ′ },
and {a ′ , b ′ , c ′ }. Let
Then
J =
J =
Hence,
∂∆
4
j=1
∂∆ j
f(z)dz.
f(z)dz.
f(z)dz
≥ |J/4|
∂∆k for some k. Define ∆1 to be this ∆k . Replace ∆ with ∆1 and repeat. This
yields a sequence of triangles {∆n} such that
∆ ⊃ ∆1 ⊃ ∆2 ⊃ . . . ⊃ ∆n ⊃ ∆n+1 ⊃ . . .
and the length of ∂∆n is 2−nL, where L is the length of ∂∆. Thus, we have
that
|J| ≤ 4 n
f(z)dz
for all n.
∂∆n
Choose z0 ∈ ∞
n=1 ∆n, and we note that in fact this z0 is unique. Let
ε > 0. As f is complex differentiable, we may choose r > 0 such that if
|z − z0| < r, then
for z ∈ ∆.
|f(z) − f(z0) − f ′ (z0)(z − z0)| ≤ ε |z − z0|
Choose n such that |z − z0| < r for all z ∈ ∆n. Note also that |z − z0| ≤
2 −n L for all z ∈ ∆n.
We use the fact that
γ zn dz = 0 for any closed path γ ⊂ C and n =

∂∆n
ANALYSIS QUALS 5
0, 1, 2, . . ., which can be seen considering antiderivatives, parametrization,
and FTC. Then
f(z)dz = f(z) − f(z0) − f ′ (z0)(z − z0)dz,
∂∆n
so
f(z)dz
≤
∂∆n
∂∆n
|f(z) − f(z0) − f ′
(z0)(z − z0)| dz ≤
∂∆n
ε |z − z0| ≤ ε(2 −n L) 2 .
Then |J| ≤ εL 2 . Hence, J = 0.
Problem 8: (a) Define upper-semicontinuous for functions f : C → [−∞, ∞).
(b) Define what it means for such an upper-semicontinuous function to be
subharmonic.
(c) Prove for refute (with a counterexample) each of the following:
The pointwise supremum of a bounded family of subharmonic functions
is subharmonic.
The pointwise infimum of a family of subharmonic functions is subharmonic.
(d) Let A(z) be a 2×2 matrix-valued holomorphic function (i.e., the entries
are holomorphic). Show that
z ↦→ log (A(z)) is subharmonic
where A(z) is the norm as an operator on the Hilbert space C 2 .
Proof. (a) f is defined to be upper-semicontinuous if for every α ∈ R, the
set {z ∈ C : f(z) < α} is an open set.
(b) f is defined to be subharmonic if for any closed ball B and every
continuous h : B → R that is harmonic on the interior of B such that
f(z) ≤ h(z) on the boundary of B, we have that f(z) ≤ h(z) for all
z ∈ B.
(c) First, let {fi}i∈I be a bounded family of subharmonic functions and
define f(z) = supI fi(z). Let B be a closed ball. Suppose that h is
continuous on B, harmonic on the interior, and f(z) ≤ h(z) on the
boundary. Then for all i ∈ I, fi(z) ≤ h(z) on the boundary as well, so
since fi is subharmonic, we conclude that fi(z) ≤ h(z) on all of B for
all i ∈ I. Thus, we have that f(z) ≤ h(z) on B as well.
The second claim is false. Consider fn(z) = Re(zn ), with f(z) =
infn fn(z). Let B be the closed unit ball. For almost every z ∈ ∂B,
f(z) = −1, but f(0) = 0, so the sub-mean-value-property is violated:
(d) We write
f(0) ≤ 1
2π
∂B
f(z)dz.
A(z) = sup{Re 〈A(z)v, w〉 : v, w ∈ C 2 , v = w = 1}.
Thus, we have the family of functions fv,w defined by fv,w(z) =
log Re 〈A(z)v, w〉 for v, w unit vectors of C 2 . For each fixed v, w, this
is the real part of a holomorphic function, so it is harmonic, and thus
subharmonic. By part c, this means that z ↦→ log (A(z)) is subharmonic,
since it is the supremum of subharmonic functions.

6 ANALYSIS QUALS
Problem 10: Let D = {z : |z| < 1} and let Ω = {z ∈ D : Imz > 0}.
Evaluate
sup{Ref ′ ( i
)|f : Ω → D is holomorphic}.
2
Proof. Note: When I did this on the qual, I misread the problem and
thought that Ω was the upper half-plane instead of merely the upper halfdisc,
which caused the already awful calculations to get worse. Here is my
attempt at the correct calculations, but it seems too ugly to be correct.
Follow at your own peril.
First, note that by rotation, it suffices to find the sup of f ′ ( i
2 ) instead
of Re f ′ ( i
2 ).
The idea is to use Schwarz Lemma. That is, we want g : D → Ω in order
to have f ◦ g map D to D, and then tweak by automorphisms of the disc to
get the map to send 0 to 0.
We have that z ↦→ i 1+z
1−z takes D to the upper half-plane, z ↦→ √ z maps
the upper half-plane to the first quadrant, and z ↦→ z−1
z+1 maps the first
quadrant to Ω. Thus, let
1+z i 1−z − 1
g(z) = .
i + 1
1+z
1−z
Let f1 be the automorphism of the disc taking g(0) to i
2 , and f2 be the
automorphism of the disc taking f( i
2
explicitly; for example we recall that f2(z) =
) to 0. These guys can be written out
i z−f( 2 )
1−f( i
2
Let h = f2 ◦ f ◦ f1 ◦ g. Then h : D → D with h(0) = 0. By Schwarz
Lemma, |h ′ (0) ≤ 1. But we note that
By calculation, we have that
and
and
where we note that
h ′ (0) = g ′ (0)f ′ 1(g(0))f ′ ( i
2 )f ′ 2(f( i
2 )).
f ′ 2(f( i 1
)) =
2 1 − f( i
2 ) ,
g ′ (0) =
f ′ 1(g(0)) =
|g(0)| =
1
√ i( √ i + 1) 2 ,
i 1 + 2
2 ,
1 − |g(0)|
√ i − 1
√ i + 1 .
)z .

ANALYSIS QUALS 7
Thus, as |h ′ (0)| ≤ 1, we have that
f ′ ( i
2 )
≤ (1 − i f( 2 ) √ 2 ) i + 1 2
(1 − |g(0)| )
1 + i
,
and so
f ′ ( i
2 )
≤ (1 − i f( 2 ) √ 2 √ 2 )( i + 1 − i − 1 )
i 1 +
.
We have that equality holds if and only if h is a rotation. To maximize
the right-hand-side of the above, we may take f( i
2 ) = 0 (which of course
eliminates the need for f2). Then we conclude that
sup
f ′ ( i
2 )
=
√ i + 1 2 − √ i − 1 2
1 + i
.
This completes the proof.
Fall 2010
Problem 1: For this problem, consider just Lebesgue measurable functions
f : [0, 1] → R together with the Lebesgue measure.
(a) State Fatou’s lemma (no proof required).
(b) State and prove the Dominated Convergence Theorem.
(c) Give an example where fn(x) → 0 a.e., but fn(x)dx → 1.
Solution.
(a) Fatou: Let {fn} be a sequence of nonegative functions such that f =
lim fn exists a.e. Then f(x)dx ≤ lim inf fn(x)dx.
(b) DCT: Let {fn} be a sequence of functions such that fn → f pointwise
a.e., and suppose there exists Lebesgue integrable g with fn} ≤ g a.e.
for every n. Then fn(x)dx → f(x)dx.
2
2
Proof: g + fn → g + f a.e., and g + fn is nonnegative a.e., so by
Fatou, g + f ≤ lim inf (g + fn). Then
g + f ≤ g + lim inf
so we have that
f ≤ lim inf
Similarly, g − fn → g − f a.e. and g − fn is nonnegative a.e., so by
Fatou, g − f ≤ lim inf (g − fn). Then
g − f ≤ g − lim sup
so we have that
lim sup
fn ≤
Hence, f = lim fn.
(c) Consider the pointwise-linear bump functions fn defined to be 0 at 0,
n at 1/n, 0 at 2/n, and linear between.
2
fn
f
fn
fn

8 ANALYSIS QUALS
Problem 2: Prove the following form of Jensen’s inequality:
If f : [0, 1] → R is continuous, then
1
e f(x) 1
dx ≥ exp f(x)dx .
0
Moreover, if equality occurs then f is a constant function.
Solution. Let a = min [0,1] f, b = max [0,1] f, and t = 1
f(x)dx. Let
0
Then for a < s < t, we have that
e
β = sup
a

ANALYSIS QUALS 9
But by the geometric series, the LHS is equal to
1
N
and since α /∈ Q, the denominator is never 0. Hence, this approaches
0 as N → ∞, and 1
0 e2πikxdx = 0, so the statement is true for all
trigonometric polynomials.
1 − e 2πiNαk
1 − e 2πiαk
Now let ε > 0, f a continuous function from R/Z to R. As trigonometric
polynomials are uniformly dense in the space of continuous periodic
functions, we may choose P (x) trigonometric such that
sup |f(x) − P (x)| <
x∈R/Z
ε
3 .
Then for N sufficiently large, we have that
N−1
1
1
ε
P (nα) − P (x)dx
<
N
3 .
n=0
Then
N−1
1
1
f(nα) − f(x)dx
N
n=0
0
≤ 1
N−1
N−1
1
1
|f(nα) − P (nα)| + P (nα) − P (x)dx
N
N
+
0
n=0
n=0
0
0
< ε. Hence, the statement holds for general f.
(b) Choose f + ε , f − ε continuous on the torus so that f ( εx) ≤ χ [a,b](x) ≤
f + ε (x) and
1
b − a − 2ε ≤
0
f − 1
ε (x)dx,
0
f + ε (x)dx < b − a + 2ε.
Let SN = 1
N
N−1
n=0 χ [a,b](nα). Then
N−1
1
f
N
− ε (nα) ≤ SN ≤ 1
N−1
N
n=0
n=0
f + ε (nα).
1
|P (x) − f(x)| dx
But the left side approaches 1
0 f − ε (x)dx and the right side approaches
1
0 f + ε (x)dx. Thus
b − a − 2ε ≤ lim
N→∞ SN ≤ b − a + 2ε.
As this holds for all ε > 0, we have that
lim
n→∞ SN = b − a =
1
0
χ [a,b](x)dx.
Problem 6: Let D := {z ∈ C : |z| ≤ 1} and consider the (complex) Hilbert
space
∞
H := f : D → C|f(z) = ˆf(k)z k with f 2 ∞
:= (1 + |k| 2 )| ˆ f(k)| 2
< ∞
k=0
k=0

10 ANALYSIS QUALS
(a) Prove that the linear functional L : f ↦→ f(1) is bounded.
(b) Find the element g ∈ H representing L.
(c) Show that f ↦→ ReL(f) achieves its maximal value on the set
B := {f ∈ H : f ≤ 1 and f(0) = 0} ,
that this maximum occurs at a unique point, and determine this maximal
value.
Solution. (a) Using Cauchy-Schwarz,
∞
|L(f)| = ˆf(k)
k=0
≤
∞
k=0
ˆ
f(k)
∞
1 + |k| 2
=
1 + |k| 2
k=0
ˆ
∞
1
f(k) ≤
1 + |k|
k=0
2
1/2
∞
(1 + |k|
k=0
2
) ˆ
f(k)
∞
1
=
1 + |k| 2
1/2 f .
k=0
2
1/2 (b) Let ˆg(k) = 1
1+|k| 2 , g(z) = ∞ k=0 ˆg(k)zk . Then g(z) converges for all
z ∈ D, and
∞
k=0
so g ∈ H. Then
(1 + |k| 2 )(1 + |k| 2 ) −2 < ∞,
〈f, g〉 =
=
∞
(1 + |k| 2 ) ˆ f(k)ˆg(k)
k=0
∞
k=0
1 + |k| 2
1 + |k| 2 ˆ f(k)
= f(1) = L(f)
(c) B is a compact, convex set in a Hilbert space, so a bounded linear
functional on it must achieve a maximum at a unique point. We claim
the maximizer is f(z) = z √ 2 . This is in B, and the handwavey argument
of why this is the maximizer is that we want all possible weight on the
smallest possible k, since the computation of the norm gives increasing
penalty to larger k. Since f(0) = 0, ˆ f(0) = 0, so we cannot put any
weight on k = 0, and thus we put all possible weight on k = 1.
Problem 7: Suppose that f : C → C is continuous on C and holomorphic on
C − R. Prove that f is entire.
Solution. Let Γ be a triangle in C. If Γ does not cross the real axis, then as f
is holomorphic off R, Cauchy integral theorem guarantees that
f(z)dz =
Γ
0.
Now suppose Γ crosses the real axis. For k > 0, we cut a 1/k neighborhood
out about the real axis and let Γ (1)
k and Γ(2)
k be the resulting polygons above
and below the real axis, respectively, as shown in the figure.

Then
Γ (j)
k
ANALYSIS QUALS 11
f(z)dx = 0 for all k, j = 1, 2. But Γ (j)
k converges uniformly
to Γ (j) with
Γ (1) f(z)dz +
Γ (2) f(z)dz =
f(z)dz. Hence, f(z)dz = 0.
Γ Γ
Thus, by Morera’s theorem, f is entire.
Problem 9: Let
f(z) =
∞
anz n
n=0
be a holomorphic function in D. Show that if
∞
n|an| ≤ |a1|
n=2
with a1 = 0 then f is injective.
Solution. Note that f ′ (z) = ∞ n=1 nanzn−1 . Then
|f ′
∞
(z) − a1| = nanz
n−1
≤
∞
n|an||z| n−1 ∞
< n|an| ≤ |a1|.
n=2
n=2
Hence, |f ′ (z) − a1| < |a1|. Thus, we may choose θ so that Re(e iθ f ′ (z)) > 0
for all z ∈ D. Then if z1 = z2,
z1
|f(z1) − f(z2)| =
f ′
(z)dz
> |z2 − z1|
z2
1
0
n=2
e iθ Re(f ′ (z1 + t(z2 − z1)))dt > 0.
Thus, f(z2) = f(z1), so f is injective.
Problem 10: Prove that the punctured disc {z ∈ C : 0 < |z| < 1} and the
annulus given by {z ∈ C : 1 < |z| < 2} are not conformally equivalent.

12 ANALYSIS QUALS
Problem 11: Let Ω ⊂ C be a non-empty open connected set. If f : Ω → C is
harmonic and f 2 is also harmonic, show that either f or f is holomorphic
on Ω.
Proof. Write f(x + iy) = u(x, y) + iv(x, y). By the Cauchy-Riemann equations,
it suffices to show that either
∂u ∂v
=
∂x ∂y
and ∂v
∂x
∂u
= −∂u , or = −∂v
∂y ∂x ∂y
∂v ∂u
and =
∂x ∂y .
Then as ∆f = 0, we have that ∆u = ∆v = 0. Note that f 2 = u 2 (x, y) −
v2 (x, y) + 2iu(x, y)v(x, y). Thus,
∆(f 2 ∂u 2 ) = 2 +
∂x
∂2 2 u
∂v
u(x, y) − −
∂x2 ∂x
∂2
v
v(x, y)
∂x2 ∂u 2 +2 +
∂y
∂2 2 u
∂v
u(x, y) − −
∂y2 ∂y
∂2
v
v(x, y)
∂y2
+2i 2 ∂u ∂v
∂x ∂x + ∂2u ∂x2 v(x, y) + ∂2v ∂v
u(x, y) + 2∂u
∂x2 ∂y ∂y + ∂2u ∂y2 v(x, y) + ∂2
v
u(x, y)
∂y2 But using ∆u = ∆v = 0, we get that
∆(f 2 ∂u 2 2 2
2
∂u ∂v ∂v ∂u ∂v ∂u ∂v
) = 2 + − − + 4i +
∂x ∂y ∂x ∂y ∂x ∂x ∂y ∂y
We set this equal to 0 and separate real and imaginary parts to find that
∂u ∂v ∂v
= −∂u
∂x ∂x ∂y ∂y and
2 2 2 2 ∂u ∂u ∂v ∂v
+ = + .
∂x ∂y ∂x ∂y
Thus, ∂u
∂x
∂v 2
− i ∂x =
∂v
∂y
+ i ∂u
∂y
2 , so ∂u ∂v
∂x − i ∂x
∂v = ± ∂y
+ i ∂u
∂y
. This
yields the result.
Problem 12: Let F be the family of functions f holomorphic on D with
|f(x + iy)| 2 dxdy < 1.
x 2 +y 2

ANALYSIS QUALS 13
= 1
√ |f(w)|
πr D
2
1/2 < 1
√ ,
πr
since f ∈ F. Thus, let A = 1 √ , which depends only on K and does not
πr
depend on x or f.
Spring 2010
Problem 1: (a) Let 1 ≤ p < ∞. Show that if a sequence of real-valued
functions {fn}n≥1 converges in L p (R), then it contains a subsequence
that converges almost everywhere.
(b) Give an example of a sequence of functions converging to zero in L 2 (R)
that does not converge almost everywhere.
Solution. (a) By Chebyshev’s inequality,
µ ({x : |f(x)| > α}) ≤ fp p
.
αp Then we have that
µ ({x : |fn(x) − f(x)| > ε}) ≤ fn − f p
p
εp → 0 as n → ∞,
so fn → f in measure.
Then we may choose a subsequence {fnj } such that
µ x : fnj (x) − fnj+1 (x) > 2 −j ≤ 2 −j .
Let Ej = {x : |fnj (x) − fnj+1 (x)| > 2−j }. Let Fk = ∞
j=k Ej. Then
µ(Fk) ≤
∞
µ(Ej) ≤ 2 1−k .
j=k
For x /∈ Fk and k ≤ j ≤ i, we have that
fnj (x) − fni (x) ≤
i−1
fnl (x) − fnl+1 (x) i−1
≤
l=j
l=j
2 −l ≤ 2 1−j ,
so {fnj } is pointwise Cauchy on F C k . Let F = ∞
k=1 Fk. Then µ(F ) =
0 and fnj converges on F C , so fnj
converges almost everywhere.
(b) We use the example of the moving dyadic intervals. Let f1 = χ [0,1],
f2 = χ [0,1/2], f3 = χ [1/2,1], and in general, for n = 2 k + j < 2 k+1 ,
let fn = χ [j/2 k ,(j+1)/2 k ]. Then fn → 0 in L 2 , but for every x ∈ [0, 1],
fn(x) → 0 as n → ∞.
Problem 3: For an f : R → R belonging to L1 (R), we define the Hardy-
Littlewood maximal function as follows:
1
(Mf)(x) := sup
h>0 2h
x+h
x−h
|f(y)|dy.
Prove that it has the following property: There is a constant A such that
for any λ > 0,
|{x ∈ R (Mf)(x) > λ}| ≤ A
λ f L 1

14 ANALYSIS QUALS
where |E| denotes the Lebesgue measure of E. If you use a covering lemma,
you should prove it.
Solution. We do employ the following covering lemma, due to Weiner in
the style of Vitali.
Lemma: Let C be a collection of open balls in Rn , and let U =
B∈C B.
k
If c < m(U), there exist disjoint B1, B2, . . . , Bk ∈ C with m(Bj) > 3 −n c.
Pf: Choose compact K ⊂ U with m(K) > c. Then finitely many balls
A,A2, . . . , Am ∈ C cover K. Let B1 be the largest of the Ai, let B2 be the
largest of the Ai disjoint from B1, and inductively, let Bk be the largest of
the Ai disjoint from the previously chosen Bjs.
Then for any i, if Ai is not one of the Bj, it has nonempty intersection
with a Bj. Choosing the smallest such j, we have diam(Bj) ≥diam(Ai).
Let B ∗ j be the ball concentric with Bj with thrice the radius. Then Ai ⊂ B ∗ j ,
so K ⊂
j B∗ j . Hence
j=1
c < m(K) ≤ m( B ∗ j ) = m(B ∗ j ) = 3 n m(Bj).
This proves the lemma.
From this lemma, the problem is solved easily: Let Eλ = {x : (Mf)(x) >
λ}. For each x ∈ Eλ, choose rx > 0 such that
1
|f(y)|dy > λ.
m(B(x, rx))
j
B(x,rx)
The balls B(x, rx) cover Eλ, so by the lemma, if C < m(Eλ), some finite
collection of disjoint balls {Bj = B(xj, rxj )} satisfies m(Bj) > 1
3c. But
then
c < 3
m(Bj) ≤ 3
|f(y)|dy ≤
λ
3
λ fL1 .
j
Bj
Letting c → m(Eλ) yields the result.
Problem 4: Let f be continuous on D and analytic on D with f(0) = 0.
(a) Prove that if 0 < r < 1 and inf |z|=r |f(z)| > 0, then
1
2π
2π
0
log |f(re iθ )|dθ ≥ log |f(0)|.
(b) Use (a) to prove that |{θ ∈ [0, 2π] : f(e iθ ) = 0}| = 0.
Solution. (a) This is a version of Jensen’s Theorem, a result of which it is
said that the proof is easier to remember than the theorem.
Let zj enumerate the zeroes of f in |z| ≤ r with multiplicity. Consider
the Blashke factor
B(z) = r(z − zj)
r2 − zjz .
j

ANALYSIS QUALS 15
Then B has the same zeroes as f, and |B(z)| = 1 when |z| = r. Then
log f(z)
B(z) is harmonic, so by the mean value principle, we have that
log
f(0)
2π
1
B(0)
= log
2π
iθ
f(re ) dθ.
But
0
log
f(0)
B(0)
= log |f(0)| − log zj
,
r
and thus
log |f(0)| = 1
2π
log
2π 0
f(re iθ ) dθ +
log
j
But zj
r < 1, so
j log zj
r ≤ 0, so we have that
1
2π
2π
0
log |f(re iθ )|dθ ≥ log |f(0)|.
j
.
r
(b) If |{θ ∈ [0, 2π] : f(e iθ ) = 0}| > 0, then 2π
0 log f(re iθ ) dθ → −∞ as
r → 1, which contradicts the inequality in (a).
Problem 5: (a) For f ∈ L 2 (R) and {xn} converging to zero, define fn(x) =
f(x + xn). Show that {fn} converges to f in L 2 .
(b) Let W ⊂ R be Lebesgue measurable of positive measure. Show that
W − W = {x − y : x, y ∈ W } contains an open neighborhood of the
origin.
Solution. (a) We want to show that fn − f 2 → 0. Since Cc(R) is dense
in L 2 , choose g ∈ Cc(R) such that f − g 2 < ε. Then
fn − f 2 ≤ fn − gn 2 + gn − g 2 + g − f 2 < 2ε + gn − g 2
Chose δ so that |g(x) − g(y)| < ε when |x − y| < δ, and choose N so
that if n > N, |xn| < δ. Then for n > N, we have that
gn − g 2
2 =
zj
|g(x + xn) − g(x)|
R
2 dx ≤ ε 2 2supp(g).
Thus, fn − f2 → 0 as n → ∞.
(b) Here are two solutions, neither of which uses part (a).
(1) We use the fact that
f(x) = χW (y)χW (y − x)dy
R
is continuous, which is Q3 in Fall 2004. Then since W has positive
measure, f(0) > 0. As f is continuous, there exists δ > 0 such
that f(t) > 0 for t ∈ (−δ, δ). Then for each t in this interval, we
have that
R χW (y)χW (y − t)dy > 0, so there exists yt such that
χW (yt) = χW (yt − t) = 1. Thus yt ∈ W and yt − t ∈ W . Hence
t = yt − (yt − t) ∈ W − W . Hence (−δ, δ) ⊂ W − W .

16 ANALYSIS QUALS
(2) As W has positive measure, then by the definition of outer measure,
there exists a collection of closed intervals In such that W ⊂ In
and
∞
|In| ≤ (21/20)m(W ).
n=1
There exists n such that m(W ∩ I) ≥ (9/10)m(In), for if not, then we
have
m(W ) ≤ m(W ∩ In) < 9
10 m(In) ≤ 9
2120m(W ) < m(W ),
10
which is a contradiction.
Thus, let In = I = [a, b], so m(W ∩I) ≥ (9/10)m(I). Let W0 = W ∩I.
Then it suffices to show that W0 −W0 contains an open neighborhood.
Suppose not. Then for all n, choose an ∈ (−1/n, 1/n) \ (W0 − W0).
Consider W0 ∩ (W0 + an). If x ∈ W0 ∩ (W0 + an), then x = y + an for
y ∈ W0, so an ∈ W0 − W0. Hence, W0 ∩ (W0 + an) = ∅ for all n. But
W0 ∪ (W0 + an) ⊂ I ∪ (I + an) ⊂ [a − |an|, b + |an|],
and thus
m(W0 ∪ (W0 + an)) ≤ b − a + 2|an| → m(I)
as n → ∞. However, since an ∈ W0 − W0, we have that
m(W0 ∪ (W0 + an)) = 2m(W0) ≥ 18
10 m(I)
so we must have m(I) = 0, which is a contradiction. This completes
the proof.
Problem 7: Let H be a Hilbert space and let E be a closed convex subset of
H. Prove that there exists a unique element x ∈ E such that
x = inf y .
y∈E
Solution. Let d = infy∈E y. Choose {yn} ∈ E such that yn → d. Then
yn − ym 2 = 2 yn 2 + 2 ym 2 2
yn
− 4
+ ym
2 .
As E is convex, we have that yn+ym
2 ∈ E, so yn+ym
2
2 ≥ d2 . Thus,
yn − ym 2 ≤ 2 yn 2 + 2 ym 2 − 4d 2 → 0 as n, m → ∞.
Thus, {yn} is Cauchy, and since H is complete, the sequence converges to
a point x. Then x ∈ E since E is closed, and x = d. This proves existence.
If y also satisfies y = d, then
2
x + y
2 = 4d 2
− 4
x + y
2
0 ≤ x − y 2 = 2 x 2 + 2 y 2 − 4
2
≤ 4d 2 − 4d 2 = 0,
so x = y. This proves uniqueness.

∂Q
ANALYSIS QUALS 17
Problem 8: Let F (z) be a non-constant meromorphic function on the complex
plane C such that for all z ∈ C,
F (z + 1) = F (z) and F (z + i) = F (z).
Let Q be a square with vertices z, z + 1, z + i and z + (1 + i) such that F
has no zeros and no poles on ∂Q. Prove that inside Q the functions F has
the same number of zeros as poles (counting multiplicities).
Solution. As F has no zeroes or poles on ∂Q, by the argument principle,
we have that
F ′ (w)
dw = 2πi(#zeroes − #poles).
F (w)
∂Q
By periodicity, F (w) = F (w + 1) = F (w + i) and F ′ (w) = F ′ (w + 1) =
F ′ (w + i). Thus, we have that
z+1
and z+i
Thus, we have that
F ′ (w)
dw =
F (w)
z+1
so we conclude that
z
z
z
F ′ (w)
F (w) dw+
F ′ (w)
dw =
F (w)
z+i+1
z+i
F ′ (w)
F (w) dw,
F ′ z+1+i
(w)
F
dw =
F (w) z+1
′ (w)
F (w) dw.
z+1+i
∂Q
z+1
F ′ (w)
F (w) dw−
z+i+1
F
z+i
′ (w)
F (w) dw−
z+i
F
z
′ (w)
F (w) dw
F ′ (w)
dw = 0,
F (w)
and hence the number of zeroes is equal to the number of poles.
Problem 10: Let Ω ⊂ C be a connected open set, let z0 ∈ Ω, and let U be
the set of positive harmonic functions u on Ω such that u(z0) = 1. Prove
for every compact set K ⊂ Ω there is a finite constant M (depending on
Ω, z0, and K) such that
sup sup u(z) ≤ M.
u∈U z∈K
You may use Harnack’s inequality for the disk without proving it, provided
you state it correctly.
Solution. We will use Harnack’s inequality for the disk without proving, so
let’s hope we state it correctly. Here I am using the version from Conway.
Harnack’s inequality states that if u is a non-negative harmonic function
on B(a, R), then for every 0 ≤ r < R and every θ, we have
R − r
R + r u(a) ≤ u(a + reiθ R + r
) ≤
R − r u(a).
First, we note that it suffices to prove that for every z ∈ Ω, there exists an
open neighborhood Uz of z and a constant Cz such that
sup
sup u(w) ≤ Cz.
u∈U w∈Uz

18 ANALYSIS QUALS
If this holds, then since any compact K can be covered by finitely many
Uz, we can let M be the maximum of the resulting finitely many Cz, and
we will be done.
Let E = {z ∈ Ω : there exists Uz, Cz as above}. We claim that E is
nonempty, open, and closed. Since Ω is connected, this will show that
E = Ω.
First, E is obviously open: for z ∈ E, every w ∈ Uz is also in E with, for
example, Cw = Ck and appropriately chosen Uw ⊂ Uz.
E is nonempty: Choose ε such that B(z0, ε) ⊂ Ω. We apply Harnack
with a = z0, R = ε, r = |w − z0|, and see that for all u ∈ U, w ∈ B(z0, ε/2),
we have that
ε + |w − z0|
u(w) ≤
ε − |w − z0| u(z0) ≤ Cz0,
for some constant Cz0 . Thus, z0 ∈ E.
E is closed: let z ∈ Ω, zn
B(z, ε) ⊂ Ω.
∈ E such that zn → z. Choose ε so that
Choose n large enough so that |zn − z| < ε
4 . Let Uz = B(z, ε
4 ). Let u ∈ U
and w ∈ Uz. Then |w − zn| < e
2 . We apply Harnack’s inequality with
a = zn, R = 3ε
4 , and r = |w − zn|, and we see that
u(w) ≤
3ε
4 + |w − zn|
3ε
4 − |w − zn| u(zn) ≤ KCzn,
where K is some constant. We let Cz = KCzn . Thus, z ∈ E, so E is closed.
This completes the proof.
Problem 11: Let φ : R → R be a continuous function with compact support.
(a) Prove there is a constant A such that
f ∗ φ L q ≤ A f L p for all 1 ≤ p ≤ q ≤ ∞ and all f ∈ L p .
If you use Young’s (convolution) inequality, you should prove it.
(b) Show by example that such a general inequality cannot hold for p > q.
Problem 13: Let X and Y be two Banach spaces. We say that a bounded
linear transformation A : X → Y is compact if for every bounded sequence
{xn}n≥1 ⊂ X, the sequence {Axn}n≥1 has a convergent subsequence in Y .
Suppose X is reflexive (that is, (X ∗ ) ∗ = X) and X ∗ is separable. Show
that a linear transformation A : X → Y is compact if and only if for every
bounded sequence {xn}n≥1 ⊂ X, there exists a subsequence {xnj } and a
vector φ ∈ X such that xnj = φ + rnj and Arnj → 0 in Y .
Solution. The reverse direction is easy: Let {xn} be bounded. Choose
{xnj } such that xnj = φ + rnj and Arnj → 0 in Y .
Aφ + Arnj → Aφ as j → ∞, which proves this direction.
Then Axnj =
For the forward direction, suppose A is compact and let {xn} be bounded.
WLOG, pass to a subsequence and assume Axn → y ∈ Y . Suffices to show
y ∈ A(X).

ANALYSIS QUALS 19
Consider ˆxn ∈ X∗∗ . This is a bounded sequence, so by Banach-Alaoglu,
there is a weak* convergent subsequence ˆxnj → ˆx. That is, for every
f ∈ X∗ , ˆxnj (f) → ˆx(f). But then f(xnj ) → f(φ), where φ is the canonical
preimage of ˆx in X, using reflexivity. Hence, xnj → φ weakly in X.
We want A(xnj ) → A(φ); that is, A(φ) = y. Assume for sake of contradiction
that this does not hold. Then by the Hahn-Banach theorem,
we may choose g ∈ Y ∗ separating A(φ) from y. Then g ◦ A ∈ X∗ , and
g ◦ A(xnj ) → g(y) = g(A(φ)).
But xnj → φ weakly, so (g ◦ A)(xnj ) → (g ◦ A)(φ), a contradiction.
Thus, A(xnj ) → A(φ), and we may let rnj = xnj − φ, and we have that
A(rnj ) → 0. This completes the proof.
Fall 2009
Problem 1: Find a non-empty closed set in the Hilbert space L 2 ([0, 1]) that
does not contain an element of smallest norm. Prove your assertion.
Solution. Let en(x) = (1 + 2 −|n| )e 2πinx . Then en → 1 as |n| → ∞, but
en = 1 for all n.
Also, en − em 2
2 = (1 + 2−|n| ) 2 + (1 + 2 −|m| ) 2 ≥ 2, so the set is discrete,
and therefore any L 2 convergent sequence must be constant. Hence,
the set is closed.
Problem 4: Prove the following variant of the Lebesgue Differentiation theorem:
Let µ be a finite Borel measure on R, singular with respect to Lebesgue
measure. Then for Lebesgue-almost every x ∈ R,
µ([x − ε, x + ε])
lim
= 0.
ε→0 2ε
Proof. Let m be Lebesgue measure. Since µ ⊥ m, we may choose A Borel
such that µ(A) = m(Ac ) = 0. Note that
µ([x − ε, x + ε])
|µ| ([x − ε, x + ε])
2ε ≤ ,
2ε
so it suffices to assume µ is positive. Let
Fk = {x ∈ A : lim sup
ε→0
µ([x − ε, x + ε])
2ε
≥ 1
k }.
Then F = Fk is the set of x in which the conclusion fails. Thus, it suffices
to show that m(Fk) = 0 for all k.
For δ > 0, choose Uδ ⊃ A open such that λ(Uδ) < δ. For every x ∈ Fk,
there exists a ball Bx = B(x, rx) ⊂ Uδ such that kµ(Bx) > m(Bx). Let
Vδ =
x∈Fk Bx. By the Weiner covering lemma, for c < m(Vδ), there exist
disjoint Bx1, . . . , Bxl such that m(Bxj ) > 3 −n c. Thus, we have that
c < 3 n
l
m(Bxj ) ≤ 3nk j=1
l
µ(Bxj ) ≤ 3nkµ(Uδ) ≤ 3 n kδ.
j=1
Thus, m(Vδ) ≤ 3 n kδ, so we must have that m(Fk) = 0.

20 ANALYSIS QUALS
Problem 5: Construct a Borel subset E of the real line R such that for all
intervals [a, b] we have
0 < m(E ∩ [a, b]) < |b − a|
where m denotes Lebesgue measure.
Proof. We will use the Baire Category Theorem on the complete metric
space
X = {χE ∈ L 1 : E Borel .
First, to see that X is complete, it suffices to show that X is closed in L1 .
Suppose fn → f in L1 , where fn ∈ X. Then there is a subsequence fnk
that converges to f pointwise a.e. (cf. another common qual problem).
But as characteristic functions converge pointwise a.e. to f, we must have
that f is almost everywhere a characteristic function of some set F . As
every set differs by a measure zero set from a Borel set, we can assume that
F is Borel. Thus, f ∈ X, so X is complete.
Now for a non-trivial interval I = [a, b], we define the set UI = {χE ∈ X :
0 < m(E ∩ I) < m(I)}. We claim that UI is open and dense in X. First,
UI is dense in X: if χE ∈ UI, then either m(E ∩I) = 0 or m(E ∩I) = m(I).
In the former case, we can add a small amount of measure to E, and in the
latter case, we can remove a small amount of measure from E to obtain E ′
with E − E ′ L1 < ε, and E ′ ∈ X. This gives density. To see that UI is
open in X, we note that χE ↦→ m(E ∩ I) is a continuous function on L1 restricted to X. Thus, if 0 < m(E ∩ I) < m(I), then 0 < m(E ′ ∩ I) < m(I)
for all E ′ such that χE ′ is L1-close to χE, so UI is open.
Thus, by the Baire Category Theorem,
UI is dense in X,
I=[a,b],a,b∈Q
so in particular there exists a Borel F such that χF is in the intersection.
Since every non-trivial interval contains an interval with rational endpoints,
this F does the job, which completes the proof.
Problem 7: a) Define unitary operator on a complex Hilbert space.
b) Let S be a unitary operator on a complex Hilbert space. Using your
definition, prove that for every complex number |λ| < 1 the operator
S − λI is invertible. Here I denotes the identity operator.
c) For a fixed vector v in the Hilbert space and all {λ ∈ C : |λ < 1}, we
define
h(λ) = (S + λI)(S − λI) −1 v, v .
Show that Re h is a positive harmonic function. [You may not invoke
the spectral theorem - this is part of a proof of that theorem.]
Solution. a) An operator U : H → H is a unitary operator if U is
bounded, linear, and U ∗ U = UU ∗ = I.

ANALYSIS QUALS 21
b) Suppose S − λI is not invertible. Choose v ∈ H such that |v| = 1, and
(S − λI)v = 0. Then Sv = λv. Hence
1 = 〈v, v〉 = 〈(S ∗ S)v, v〉 = 〈Sv, Sv〉 = 〈λv, λv〉 = |λ| 2 〈v, v〉 = |λ| 2 .
Hence, |λ| = 1. Thus, conversely, |λ| < 1 implies that S − λI is
invertible.
c) We will prove that h is holomorphic, which means that Re h is harmonic,
and then we will prove that Re h > 0. First, if v = 0, the
statement is false. Let v = 0. Then
(S + λI)(S − λI) −1 = (S + λI)(I − λS −1 ) −1 S −1
= (S + λI)(I + λS −1 + λ 2 S −2 + . . .)S −1
= (S + λI)(S −1 + λS −2 + λ 2 S −3 + . . .)
= I + 2λS −1 + 2λ 2 S −2 + . . .
Hence,
(S + λI)(S − λI) −1 v, v = 〈v, v〉 + 2λ S −1 v, v + 2λ 2 S −2 v, v + . . .
This is a power series expansion of h about 0, so h is analytic in the
disc. Hence, h is holomorphic on |λ| < 1, and thus Re h is harmonic.
Now let w = (S − λI) −1 v, and as v = 0, we have that w = 0 by
part b. Then
h(λ) = 〈(S + λI)w, (S − λI)w〉
= 〈Sw, Sw − λw〉 + 〈λw, Sw − λw〉
= 〈Sw, Sw〉 − 〈Sw, λw〉 + 〈λw, Sw〉 − 〈λw, λw〉
= Sw 2 − |λ| 2 w 2 + 〈Sw, λw〉 − 〈Sw, λw〉
= Sw 2 − |λ| 2 w 2 + 2iIm 〈Sw, λw〉
= w 2 − |λ| 2 w 2 + 2iIm 〈Sw, λw〉
Hence, Re h(λ) = w 2 (1 − |λ| 2 ) > 0 as |λ| 2 < 1.
Problem 8: Let Ω be an open convex region in the complex plane. Assume f
is a holomorphic function on Ω and the real part of its derivative is positive:
Re(f ′ (z)) > 0 for all z ∈ Ω.
a) Prove that f is one-to-one.
b) Show by example that the word “convex”’ cannot be replaced by “connected
and simply connected”’.
Solution. a) Suppose z1 = z2 ∈ Ω. Then as Ω is convex, the line between
z1 and z2 is contained in Ω. Thus,
z1
z1
|f(z1) − f(z2)| =
z2
f ′
(z)dz
=
≥
z1
z2
z2
Re(f ′ (z))dz + i
Re(f ′
(z))dz
> 0.
z1
z2
Im(f ′
(z))dz

22 ANALYSIS QUALS
Thus, f(z1) = f(z2), so f is injective.
b) Let Ω = {z : − 3π
4
3π
< arg(z) < 4 }. This is clearly connected and
simply connected. Let f(z) = z 5/3 , with an appropriate branch cut so
that f is holomorphic on Ω.
Then f ′ (z) = 5
3 z2/3 . Let re iθ ∈ Ω. Then f ′ (re iθ ) = 5
3 r2/3 e 2iθ/3 .
But π
2
< 2
3
θ < π
2 , and so Re(f ′ (z)) > 0 for all z ∈ Ω.
However, f(e 7πi/10 ) = e 7πi/6 = e −5πi/6 = f(e −π/2 ). Hence f is not
injective on Ω.
Problem 9: Let f be a non-constant meromorphic function on the complex
plane C that obeys
f(z) = f(z + √ 2) = f(z + i √ 2).
(In particular, the poles of these three functions coincide.) Assume f has
at most one pole in the closed unit disc D.
a) Prove that f has exactly one pole in D.
b) Prove that this is not a simple pole.
Solution. a) Let z = e 5πi/4 . Then by the periodicity, f takes all its
possible values on the square with corners at z, z + √ 2, z + i √ 2, and
z + √ 2 + √ 2. This square is then contained in D, so it suffices to show
that there is a pole in this square, P . If not, then f is entire. But since
is compact, f is bounded, so by Liousville, f would be constant, a
contradiction. Thus, f has a pole in P .
b) Using the periodicity, we have that
and
z+ √ 2
z
z+i √ 2
z
Thus, we have that
f(w)dw =
f(w)dw =
∂P
z+ √ 2+i √ 2
z+i √ 2
z+ √ 2+i √ 2
z+ √ 2
f(w)dw = 0.
f(w)dw
f(w)dw.
But by the residue theorem, we have that
∂P f(w)dw = 2πi
Res(f, z0).
poles z0
Thus, Res(f) = 0. Thus, counting multiplicities, f has at least two
poles. But as f has only one pole, it cannot be simple.

ANALYSIS QUALS 23
Problem 12: Let f be a non-constant meromorphic function in the complex
plane. Assume that if f has a pole at the point z ∈ C, then z is of the
form nπ with an integer n ∈ Z. Assume that for all non-real z we have that
estimate
|f(z)| ≤ (1 + |Im(z)| −1 )e −|Im(z)|
Prove that for every integer n ∈ Z, f has a pole at the point πn.
Proof. By the estimate, we have that f(πn + ir) = O(r −1 ) for r real, so all
poles are simple poles with residue of norm at most one. Note that
|sin(z)| ≤ e |Im(z)|
Then letting g(z) = f(z) sin(z), it suffices to show that g is constant, which
would imply that f is a constant multiple of cosecant, which has poles at
nπ for all n.
First, since sin(z) has simple zeroes for all nπ, we have that g is entire.
Secondly, using our estimates for f and sin, we have that
|g(z)| ≤ 1 + |Im(z)| −1
for z ∈ C\R. Thus, |g| ≤ 2 off the strip |Im(z)| ≤ 1.
We consider g on this strip, and in particular, on each rectangle with vertices
±nπ ± i. On the horizontal segments of the rectangles, we have the same
estimate as before, |g| ≤ 2. For the vertical segments, we use the fact that
sin(x + iy) = sin(x) cosh(y) + i cos(x) sinh(y). Then we have that
|sin(nπ + iy)| = |sinh(y)| ≤ C|y| = C|Im(z)|
where the constant C does not depend on n. Thus,
g ≤ C |Im(z)| (1 + |Im(z)| −1 )e −|Im(z)| < K
on the vertical segments. Therefore, g is bounded on the edges of the rectangle,
and the bound depends not on n. Thus, by the maximum modulus
principle, g is bounded on the interior of this rectangle, and as this bound
does not depend on n, we may conclude that g is bounded on the strip.
Thus, g is bounded on C, so by Liousville, g is constant. This completes
the proof.
Spring 2009
Problem 1: Let f and g be real-valued integrable functions on a measure
space (X, B, µ), and define
Prove
Ft = {x ∈ X : f(x) > t}, Gt = {x ∈ X : g(x) > t}.
∞
|f − g|dµ = µ((Ft\Gt) ∪ (Gt\Ft))dt.
−∞

24 ANALYSIS QUALS
Solution. Let E1 = {(x, t) : x ∈ X, t ∈ R, f(x) > t and g(x) < t}.
Let E2 = {(x, t) : x ∈ X, t ∈ R, f(x) < t and g(x) > t}. Then
|f − g|dµ = |f − g|dµ + |f − g|dµ
=
{f>g}
{f>g}
f − gdµ +
{ff}
g − fdµ
∞
=
{f>g}
∞
χE1(x, t)dt
−∞
= (χE1 + χE2 )(x, t)dtdµ(x),
−∞
∞
dµ(x) +
{g>f}
χE2(x, t)dt
−∞
dµ(x)
since E1 and E2 are disjoint, and χE1 vanishes off {f > g} in X, and χE2
vanishes off {g > f} in X. Then by Fubini, we have that
∞
∞
(χE1 + χE2 )(x, t)dt, dµ(x) =
−∞
(χE1 + χE2 )(x, t)dµ(x)dt.
But
χE1dµ = µ(Ft\Gt) and
−∞
χE2dµ = µ(Gt\Ft),
and as these sets are disjoint, µ((Ft\Gt)∪(Gt\Ft)) = µ(Ft\Gt)+µ(Gt\Ft).
Thus,
∞
∞
(χE1 + χE2)(x, t)dµ(x)dt = µ((Ft\Gt) ∪ (Gt\Ft))dt.
−∞
Problem 2: Let H be an infinite dimensional real Hilbert space.
a) Prove the unit sphere S of H is weakly dense in the unit ball B of H.
b) Prove there is a sequence Tn of bounded linear operators from H to
H such that Tn = 1 for all n but lim Tn(x) = 0 for all x ∈ H.
Proof. a) Let x0 ∈ B, ε > 0. Let Uε(x0) be an ε-neighborhood of x0 in
the weak topology. That is,
Uε(x0) =
−∞
x ∈ H : sup |〈x − x0, yi〉| < ε for k ∈ N, yi ∈ H
i=1,...,k
Let fi(x) = 〈x, yi〉. Then fi is a linear functional. As H is infinite
dimensional, the intersection of the kernels of a finite number of linear
functionals is a nontrivial linear subspace. Thus,
x0 +
k
ker(fi)
i=1
is contained in Uε(x0), so there is a line L through x0 contained in
Uε(x0). This line intersects S, so choose xε ∈ L ∩ S. Then
〈x0, y〉 = lim
ε→0 〈xε, y〉 for all y ∈ H.
Thus, S is weakly dense in B.
.

ANALYSIS QUALS 25
b) I present the proof in the (simple) case in which H is a separable
Hilbert space (which is how Stein-Shakarchi defines their Hilbert spaces).
In this case, let {en} be an orthonormal basis for H.
Define Tn(y) = 1
y 〈en, y〉 y. Then
Tn(y) ≤ y , and Tn(en) = 1, so Tn = 1.
But by Bessel’s inequality,
n
|〈en, y〉| 2 ≤ y 2 , so 〈en, y〉 → 0 for all y.
Thus, lim Tn(y) = 0 for all y ∈ H.
Problem 3: Let X be a Banach space and let X ∗ be its dual Banach space.
Prove that if X ∗ is separable the X is separable.
Solution. Let {fn} be a countable dense set of X ∗ . For each n, choose
xn ∈ X such that xn = 1 and |fn(xn)| ≥ 1
2 fn.
Let S be the set of all linear combinations of the xn with rational coefficients
(rational real and imaginary parts if X is a Banach space over C).
Thus, S is countable. We aim to show that S is dense in X.
Let Y = S and assume for sake of contradiction that Y = X. Then by
Hahn-Banach theorem, we may choose f ∈ X∗ such that f(y) = 0 for all
y ∈ Y and f = 0. Then by density of {fn}, choose a sequence fin → f.
Then
1
f − fin ≥ |(f − fin )(xin )| = |fin (xin )| ≥ fin 2
for all n ∈ N. But then as fin → f, we must have fin → 0, which means
that f = 0, a contradiction. Thus Y = X.
Problem 4: Let f(x) be a non-decreasing function on [0, 1]. You may assume
the theorem that f is differentiable almost everywhere.
a) Prove that 1
0 f ′ (x)dx ≤ f(1) − f(0).
b) Let {fn} be a sequence of non-decreasing functions on the unit interval
[0, 1], such that the series F (x) = ∞
n=1 fn(x) converges for all x ∈
[a, b]. Prove that F ′ (x) = ∞
n=1 f ′ n(x) almost everywhere on [0, 1].
Proof. a) Define the difference quotient
gn(x) =
f(x + 1/n) − f(x)
,
1/n
and then by the theorem we are permitted to assume, gn(x) → f ′ (x)
as n → ∞ for a.e. x. As f is non-decreasing, we have that gn is
non-negative, so by Fatou, we have that
1
0
f ′ (x)dx ≤ lim inf
1
0
gn(x)dx.

26 ANALYSIS QUALS
1
0
But then
gn(x)dx = 1
1/n
= 1
1/n
1
f(x + 1/n)dx − 1
1/n
0
1+1/n
1
f(x)dx − 1
1/n
1
0
1/n
0
f(x)dx
f(x)dx → f(1) − f(0) as n → ∞.
b) We let rn(x) =
k≥n fk(x). Hence, for a.e. x, we can write
and so
n−1
F (x) = fj(x) + rn(x),
j=1
F ′ n−1
(x) =
j=1
f ′ j(x) + r ′ n(x).
Thus, it suffices to show that r ′ n(x) → 0 as n → ∞. Note that as
fn is non-decreasing for all n, we have that rn is also non-decreasing
for all n, and thus r ′ n is non-negative. Note further that since F is
a convergent series, we have that rn(x) → 0 for all x ∈ [0, 1]. Thus,
rn(1) − rn(0) → 0. But by the first part, we have that
1
0
r ′ n(x)dx ≤ rn(1) − rn(0).
Thus, 1
0 r′ n(x)dx → 0 as n → ∞, so r ′ n(x) → 0 for a.e. x ∈ [0, 1].
Problem 5: Let I = I0,0 = [0, 1] be the unit interval, and for n = 0, 1, 2, . . . ,
and 0 ≤ j ≤ 2 n − 1 let
In,j = [j2 −n , (j + 1)2 −n ].
For f ∈ L 1 (I, dx) define Enf(x) = 2 n −1
j=0
n 2 In,j fdt
χIn,j .
Prove that if f ∈ L 1 (I, dx) then limn→∞ Enf(x) = f(x) almost everywhere
on I.
Solution. Let S = {f ∈ L 1 (I, dx) : Enf → f a.e. on I}. Then S contains
the characteristic functions of dyadic intervals, as EmχIn,j = χIn,j for
m > n.
But we can approximate a positive L 1 function f by a sequence of positive
linear combinations of characteristic functions of dyadic intervals. Thus,
such an f is in S by monotone convergence. S is a vector space, so writing
f as the difference of its positive part and negative part yields the
result.
Problem 8: Let f be an entire non-constant function that satisfies the functional
equation
f(1 − z) = 1 − f(z)
for all z ∈ C. Show that f(C) = C.

ANALYSIS QUALS 27
Solution. Picard’s Big Theorem states that if f is entire and non-constant,
its range omits at most one value.
Suppose w ∈ f(C). Then 1 − w ∈ f(C). Note that t = 1 − t implies
t = 1/2, and f(1/2) = 1 − f(1/2), so f(1/2) = 1/2 ∈ f(C). Thus, t = 1 − t,
and neither is in the range, so the range of f omits at least two values,
which gives a contradiction of Picard. Hence, f(C) = C.
Problem 10: Let D be the open unit disc and µ be Lebesgue measure on
D. Let H be the subspace of L 2 (D, µ) consisting of holomorphic functions.
Show that H is complete.
Solution. First, since L2 (D, µ) is complete, it suffices to show that H is a
closed subspace of L2 (D, µ). Let f ∈ H. Let K be a compact subset of
D. Let r = dist(K, U c ). Let z ∈ K, B = B(z, r/2) ⊂ U. By mean value
principle and Cauchy-Schwarz, we have that
|f(z)| =
1
f(w)dw
Area(B)
B
≤ 4
πr2
|f(w)| dw
B
= 4
πr2 |f(w)| χBdw
U
≤ 4
πr2
|f(w)|
U
2 1/2
dw
U
4
=
πr2 1/2 1/2 |f|
U
χ 2 1/2 Bdw
Thus, we let CK = 4
πr2 1/2, and note this depends only on K.
Now suppose {fn} ∈ H and fn → f in L 2 (D, µ). Then for each compact
K ⊂ D and each z ∈ K, we have that
|fn(z) − f(z)| ≤ CK fn − f L 2 (D,µ) → 0.
Hence, fn → f uniformly on compact subsets of D, and thus, f is holomorphic
on D. Therefore, H is complete.
Problem 11: Suppose that f : D → C is holomorphic and injective in some
annulus {z : r < |z| < 1}. Show that f is injective in D.
Solution. Let Ar be the annulus, and let r < R < 1 be arbitrary. Let γ be
the closed curve
γ = {Re iθ : −π ≤ θ < π}
so that γ ⊂ Ar.
Using the Jordan curve theorem and the injectivity of f, we have that
f(γ) is a simple, closed curve in C, and in particular it is non-intersecting,
and f(int(γ)) = int(f(γ)).

28 ANALYSIS QUALS
Since the winding number is constant on connected components, the winding
number of f(z) must be 1 for all z ∈ int(γ), again using injectivity of f
in Ar.
Let b ∈ f(int(γ)). Then by the Argument Principle, the number of points
in int(γ) where f takes the value b is the winding number, 1.
Hence, f is injective on int(γ). As this holds for every R < 1, f is injective
on D.
Fall 2008
Problem 1: Fix 1 ≤ p < ∞ and let {fn} be a sequence of Lebesgue measurable
functions fn : [0, 1] → C. Suppose there exists f in L p ([0, 1]) so that
fn → f in the L p sense, that is,
1
0
|fn(x) − f(x)| p dx → 0.
(a) Show that fn → f in measure, that is,
lim
n→∞ µ ({x : |fn(x) − f(x)| ≥ ε}) = 0
for all ε > 0.
(b) Show that there is a subsequence fnk such that fnk (x) → f(x) almost
everywhere.
Solution. (a) By Chebyshev’s inequality,
µ ({x : |f(x)| > α}) ≤ fp p
.
αp Then we have that
µ ({x : |fn(x) − f(x)| > ε}) ≤ fn − f p
p
εp → 0 as n → ∞,
so fn → f in measure.
(b) As fn → f in measure, we may choose a subsequence {fnj } such that
µ x : fnj (x) − fnj+1 (x) > 2 −j ≤ 2 −j .
Let Ej = {x : |fnj (x) − fnj+1 (x)| > 2−j }. Let Fk = ∞
j=k Ej. Then
µ(Fk) ≤
∞
µ(Ej) ≤ 2 1−k .
j=k
For x /∈ Fk and k ≤ j ≤ i, we have that
fnj (x) − fni(x) ≤
i−1
fnl (x) − fnl+1 (x) i−1
≤
l=j
l=j
2 −l ≤ 2 1−j ,
so {fnj } is pointwise Cauchy on F C k . Let F = ∞ k=1 Fk. Then µ(F ) =
0 and fnj converges on F C , so fnj converges almost everywhere.

ANALYSIS QUALS 29
Problem 2: Is every vector space isomorphic as a vector space to some Banach
space? Prove your answer. (Banach space = complete normed vector
space, as usual).
Solution. No. Let V be the vector space consisting of all infinite sequences
(over R, for example) with only finitely many non-zero terms. Assume for
sake of contradiction that V can be given a Banach space structure.
Let Vn be the subspace of V consisting of the sequences whose components
are all zero after the nth. Then
∞
V = Vn.
n=1
Note that Vn is finite dimensional, so it is isomorphic as a Banach space
to R n , and thus is a closed subspace. However, Vn is nowhere dense, as
Vn contains no open balls in V . Thus, by the Baire Category Theorem,
Vn = V , a contradiction.
Problem 3: Prove: If f : [0, 1] → R is an arbitrary function, not necessarily
measurable, then the set of points at which f is continuous is a Lebesguemeasurable
set.
Proof. Let
Sx(δ) = sup{|f(x1) − f(x2)| : x1, x2 ∈ (x − δ, x + delta)},
φ(x) = inf{Sx(δ) : δ > 0}.
Note that
1
1
Sx ≥ Sx
k k + 1
for every k ∈ N. We claim that f is continuous at x if and only if φ(x) = 0.
First suppose that φ(x) = 0. Let ε > 0 and choose δ > 0 such that
Sx(δ) < ε. Thus, for any y ∈ (x − δ, x + δ), we have that |f(y) − f(x)| < ε,
so f is continuous at x.
Now assuming f is continuous at x, we have that for all ε > 0 we may choose
δ such that |x − y| < δ implies |f(x) − f(y)| < ε, and hence Sx(δ) < 2ε.
Thus, φ(x) = 0.
Next, we claim that {x : φ(x) < α} is an open set for every α (that is, φ is
upper-semicontinuous). Suppose φ(x) < α and choose N such that
1
Sx < α whenever k > N.
k
Suppose k > N. Let y ∈ x − 1
1
1 1
2k
, x
+ 2k
. Note
that then
y − 2k , y + 2k
⊂
1
1
1 1
(x−1/k, x+1/k), so φ(y) ≤ Sy 2k ≤ Sx k < α. Thus, x − 2k , x + 2k ⊂
{x : φ(x) < α}, so the set is open.
But then we have that
∞
{x : φ(x) = 0} = {x : φ(x) < 1
k },
k=1
and thus the set of points of continuity of f is a Gδ set, and hence is
measurable.

30 ANALYSIS QUALS
Problem 6: Define for each n = 1, 2, 3, . . . , the Cantor-like set Cn as [0, 1]
with its central open interval of length 1
2n · 1
3 removed, then with the two
central open intervals of length 1
2n · 1
32 removed from the remaining two
closed intervals and so on (at the jth stage, 2j−1 intervals of length 1
2n · 1
3j are removed), continuing with j = 1, 2, 3, . . ..
(a) With µ=Lebesgue measure, show that µ([0, 1]\ ∞
n=1 Cn) = 0.
(b) Show that if E is a subset of [0, 1] which is not Lebesgue measurable
(you may assume such an E exists without proof), then for some n ≥ 1,
E ∪ Cn fails to be Lebesgue measurable.
(c) Use part (b) to show that there is a continuous, strictly increasing
function f : R → R with f(R) = R and a Lebesgue measurable set
A ⊂ R such that f(A) is not Lebesgue measurable.
Solution. (a) Cn is constructed by removing intervals of total length 2−n 2
3
at step j. But
1
3
∞
j=0
j 2
=
3
1
1 − 2
3
= 3,
so Cn has a total of 2 −n removed. Thus, Cn has total measure 1−2 −n ,
so
n Cn has measure 1, and hence, µ([0, 1]\ ∞ n=1 Cn) = 0.
(b) E not measurable implies that there exists ε > 0 and a set A such that
µ(E) < µ(E∩A)+µ(E∩A c )−ε. Choose n such that µ(Cn) > 1−ε/10.
Then
µ(E ∩ Cn) < µ(E) < µ(E ∩ Cn ∩ A) + µ(E ∩ Cn ∩ A c ) − 4ε/5,
so E ∩ Cn is not measurable.
(c) Let f be a strictly increasing homeomorphism from C0 to Cn, where
n as in part (b). Such a function exists: both sets are homeomorphic
to {0, 1} N by considering at each point in a Cantor set, whether it is
in the left or right side at each stage of removing central intervals.
Thus, just as the strictly monotonic Cantor-Lebesgue function can be
constructed for C0 onto [0, 1], so too can such a function be created
for Cn, and taking an appropriate composition yields f.
Extend f linearly to all of R. Then f −1 (E∩Cn) is a subset of C0, which
has measure zero. Therefore f −1 (E ∩ Cn) is measurable. However, by
part (b), E ∩ Cn is not measurable.
Problem 8: Suppose f : U → C is a holomorphic function with intU |f| 2 < ∞
where U = {z ∈ C : 0 < |z| < 1} and the integral is the usual R 2 -area
integral. Prove that f has a removable singularity at z = 0.
Solution. Let w be a point in the annulus around z = 0 of radii ε and 1/2,
for 0 < ε < 1/2. Then by Cauchy integral formula, we have that
f(ξ)
f(ξ)
f(w) =
dξ −
ξ − w ξ − w dξ.
|ξ|=1/2
|ξ|=ε
j−1·

δ
0
Then
f(ξ)
δf(w) = δ
dξ −
|ξ|=1/2 ξ − w
and thus
f(w)
−
|ξ|=1/2
ANALYSIS QUALS 31
f(ξ)
ξ − w dξ
≤ 1
δ
δ
0
δ
0
|ξ|=ε
|ξ|=ε
f(ξ)
ξ − w dξdε
f(ξ)
ξ − w dξdε
.
We claim that this tends to 0 as δ → 0, which would prove that f(w) =
f(ξ)
1
|ξ|=1/2 ξ−w dξ for |w| < 2 , and this is holomorphic, so any singularity at 0
would be removable.
But using Fubini, Cauchy-Schwarz, and basic estimations, we have that
f(ξ)
ξ − w dξ
=
δ 2π
f(εe
iθ )
εeiθ − w iεeiθ
dθdε
|ξ|=ε
≤
0 0
δ 2π
0
≤ 2
|w|
≤ 2
|w|
≤ 2
|w|
0
2π δ
0
2π
0
|f(εeiθ )|
|εeiθ − w| εdθdε
0
δ
0
|f(εe iθ )|εdεdθ
|f|
{0

32 ANALYSIS QUALS
form e iθ z for some θ.
Thus, we have that
iθ z − i
g(z) = h ◦ f(z) = e
z + i
for some θ.
(b) Since f is holomorphic, its imaginary part is a harmonic function on
the disk. Then by Harnack’s inequality, we have that
1 − |z|
1 + |z|
Im(f(0)) ≤ Im(f(z)) ≤
1 + |z| 1 − |z| Im(f(0)).
Hence, as Im(f(0)) = 1, we have that Im(f(x)) ≥ 1−x
1+x .
Problem 10: Suppose U is a bounded connected open set in C and z0 ∈ U.
Let F = {f : U → D, f holomorphic, f(z0) = 0}.
(a) Show that if K is a compact subset of U, then there is a constant
MK > 0 such that |f ′ (z)| ≤ MK for all z ∈ K, f ∈ F .
(b) Use part (a) to show that if {fn} is a sequence in F , then there is a
subsequence {fnj } which converges uniformly on every compact subset
of U to a function f0 ∈ F .
(Note: Part of this is to show f0(U) ⊂ D.)
Solution. (a) Let r = dist(K, U c ). Let γ be a closed curve in U around K
with dist(K, γ) ≥ r
2 . Then by Cauchy Integral formula, we have that
f ′ (w) = 1
f(z)
dz.
2πi (z − w) 2
Hence for w ∈ K, we have that
|f ′ (w)| ≤ 1
1 1
dz ≤
2π |z − w| 2 2π
γ
γ
4
4M
length(γ) ≤
r2 r2 where M is the bound on |z| in U. Thus, let MK = 4M
r2 .
(b) As f : U → D, |f(z)| < 1 for all z ∈ U and f ∈ F . Hence by Montel’s
theorem, there exists a subsequence {fnj } converging uniformly on
compact subsets of U to a function f0.
But then fnj (z0) → f0(z0), so f0(z0) = 0. Since |fnj (z)| < 1 for all
z ∈ U, we must have that |f0(z)| ≤ 1 for all z ∈ U. But as f0 is
holomorphic, it is an open mapping by the Open Mapping theorem,
so as U is open, f0(U) is open. Thus, f0(U) ⊂ D, so f0 ∈ F .
Problem 11: Let D denote the open unit disk in the complex plane let D
denote its closure. Suppose f : D → C is continuous on D and analytic in
its interior. Show that if f takes only real values on ∂D, then f must be
constant.
Solution. Let g(z) be defined to be f(z) for z ∈ D, and f
1 1
z for z ∈ D.
Note that this is well-defined: if both conditions are satisfied, then z must
be of the form eiθ , in which case f
1
z = f(eiθ iθ ) = f(e ) since f takes real
values on the circle.
Thus, by Schwarz Reflection Principle, g is entire.

ANALYSIS QUALS 33
But as D is compact, g is bounded on D, and hence is bounded on C
by definition of g. Thus g is entire and bounded, and hence constant by
Liousville. As g is constant, we conclude that f is constant.
Problem 12: Evaluate
for all real numbers a > 0.
π
0
dθ
a 2 + sin 2 θ
Solution. First, note that sin 2 θ = − 1
4 (e2iθ − 2 + e −2iθ ). Let z = e 2iθ , so
as θ ranges from 0 to 2π, z will range around the unit circle T. Then
dz = 2izdθ, and the integral becomes
T
dz
2iz(a2 − (z − 2 + z−1 1
=
)/4) 2i
= π
residues of poles of
poles
The poles are at
4a 2 + 2 ± √ 16a 4 + 16a 2
2
T
4dz
(4a 2 + 2)z − z 2 − 1
−4
z 2 − (4a 2 + 2)z + 1
inside T.
= 2a 2 + 1 ± 2a a 2 + 1.
The + root is outside the unit circle, so it is of no interest to us. We
calculate the residue of the other root, z0 = 2a 2 + 1 − 2a √ a 2 + 1.
so
Res(f, z0) =
z 2 − (4a 2 + 2)z + 1
z − z0
−4
= 2z − 2 − 4a 2 ,
2(2a2 + 1 − 2a √ a2 =
+ 1) − 2 − 4a2 −4
−4a √ a 2 + 1 =
1
a √ a 2 + 1 .
Thus,
π
dθ
0 a2 + sin 2 θ =
π
a √ a2 + 1 .
Warning: I have little faith in my calculations on this one.
Spring 2008
Problem 2: Let R/Z be the unit circle with the usual Lebesgue measure.
For each n = 1, 2, 3, . . . , let Kn : R/Z → R + be a non-negative integrable
function such that
R/Z Kn(t)dt
= 1 and limn→∞ ε

34 ANALYSIS QUALS
Proof. First, since f is continuous on a compact set, it is uniformly continuous,
and the image is compact. Let M be the maximum value of f. Let
ε > 0. Choose δ > 0 such that
|f(x − t) − f(x)| < ε whenever |t| < δ for every x ∈ R/Z.
Then for any x ∈ R/Z, we have that
|f ∗ Kn(x) − f(x)| = [f(x − t) − f(x)]Kn(t)dt
R/Z
= [f(x − t) − f(x)]Kn(t)dt +
|t|

so y ∈ B(x, ε), so y ∈ B(x (n1)
i , 1
n1
B(x (2N)
k
, 1
2N
) ⊂ B(x(n1)
i
ANALYSIS QUALS 35
, 1
n1
) ∪ B(x(n2)
j
) ∪ B(x(n2) j , 1 ). Thus, we have that
n2
, 1
n2
). Hence, B is a base for the
topology, so X is second countable.
(c) Let {x1, x2, . . .} be the dense subset of X found in (a). By Urysohn’s
Lemma, for n, m ≥ 1, there exists ψn,m ∈ C(X) such that ψn,m = 1
on B(xn, 1
m ) and ψn,m is supported on B(xn, 2
Then {ψn,m} separates points, as the balls are a base for the topology
by (b). By the Stone-Weierstrass theorem, the algebra of rational
polynomial combinations of ψn,m is dense, so C(X) is separable.
Problem 4: Let f, g ∈ L2 (R) be two square-integrable functions on R (with
the usual Lebesgue measure). Show that the convolution
f ∗ g(x) := f(y)g(x − y)dy
of f and g is a bounded continuous function on R.
Solution. First, we show it is bounded:
|f ∗ g(x)| =
f(y)g(x − y)dy
R
1/2
≤
R
|f(y)|
R
2 dy
= f2 g2 .
m ).
|g(x − y)|
R
2 1/2 dy
Hence, f ∗ g is bounded. Now we show that f ∗ g is continuous.
|f ∗ g(x1) − f ∗ g(x2)| = f(y)g(x1
− y)dy − f(y)g(x2 − y)dy
R
R
=
f(y) [g(x1 − y) − g(x2 − y)] dy
R
= f(x1 + y) [g(y) − g(x2 − x1 − y)] dy
R
≤ f
2 g − g(x2−x1) ,
2
where g (x2−x1) is the translation. But
g − g(x2−x1) → 0 as |x2 − x1| →
2
0. Hence f ∗ g is continuous.
Problem 5: Let H be a Hilbert space, and let T : H → H be a bounded
linear operator on H.
(a) Show that if the operator norm T of T is strictly less than 1, then
the operator 1 − T is invertible.
(b) Let σ(T ) denote the set of all complex numbers z such that T − zI is
not invertible. (This set is known as the spectrum of T .) Show that
σ(T ) is a compact subset of C.

36 ANALYSIS QUALS
Solution. (a) Let (1 − T ) −1 =
n=0
∞
T n . This converges, as
n=0
∞
T
n
≤
∞
T n < ∞.
n=0
But then (1 − T )(1 − T ) −1 = I, so 1 − T is invertible.
(b) We claim σ(T ) is closed and bounded. First, we prove bounded. Let
|α| > T . Then αI − T = α(I − T
α ), and
T
α < 1, so by part (a), we
have that (I − T
α ) is invertible, so α ∈ σ(T ). Thus,
σ(T ) ⊂ {α ∈ C : |α| ≤ T },
so σ(T ) is bounded. Next, we aim to show that σ(T ) is closed. Let G
be the set of invertible operators on H. We claim that G is open. Let
S ∈ G and suppose that T − S < S −1 1 .
Then S −1 T − I = S −1 (T − S) < 1, so by part (a), S −1 T is invertible,
and therefore T −1 = (S −1 T ) −1 S −1 , so T is invertible. Therefore,
G is open.
Define f : C → B(H) by α ↦→ (αI − T ). Then f is continuous, so
f −1 (G) is open. But f −1 (G) = {z ∈ C : T − zI invertible} = C\σ(T ),
so σ(T ) is closed. Thus, σ(T ) is compact.
Problem 8: Let H be a real Hilbert space, let K be a closed non-empty
subset of H, and let v be a point in H. Show that there exists a unique
w ∈ K which minimizes the distance to v in the sense that v − w <
v − w ′ for all w ′ ∈ K\{w}. (Hint: you may find the parallelogram law
to be useful.)
Solution. Note that the problem is incorrect as stated, as can be seen by
Problem 1 on Fall 2009. We employ the additional assumption that K is
convex.
Let d = infw∈K v − w. Choose {wn} ∈ K such that v − wn → d. Then
wn − wm 2 = 2 wn 2 + 2 wm 2 2
wn
− 4
+ wm
2 .
As K is convex, we have that wn+wm
2
∈ K, so wn+wm
2
2 ≥ d2 . Thus,
wn − wm 2 ≤ 2 wn 2 + 2 wm 2 − 4d 2 → 0 as n, m → ∞.
Thus, {wn} is Cauchy, and since H is complete, the sequence converges to
a point w. Then w ∈ K since K is closed, and v − w = d. This proves
existence.
If y also satisfies v − y = d, then
2
w + y
2 = 4d 2
−4
w + y
2
0 ≤ w − y 2 = 2 w − v 2 +2 y − v 2 −4
so w = y. This proves uniqueness.
2
≤ 4d 2 −4d 2 = 0,

Problem 10: Let the power series f(z) =
ANALYSIS QUALS 37
∞
anz n have radius of conver-
gence r > 0. For each ρ with 0 < ρ < r let Mf (ρ) := sup{|f(z)|; |z| = ρ}.
Show that the following holds for each such ρ:
∞
n=0
n=0
|an| 2 ρ 2n ≤ Mf (ρ) 2 .
Solution. Let φ be a function on the unit circle T defined by φ(z) = f(ρz).
Then the Fourier expansion of φ is anρnz n , so φ 2
2 = 2π |an| 2ρ2n , by
Parseval. But we have that
φ 2
2 ≤ 2π φ2 ∞
and since φ ∞ = Mf (ρ), we have that
∞
n=0
|an| 2 ρ 2n ≤ Mf (ρ) 2 .
Problem 11: Let f : D → D be a holomorphic map having two unequal fixed
points a, b ∈ D. Show that f(z) = z for all z ∈ D. (Hint: use Schwarz’s
lemma.)
Solution. Let φ(z) = z−a
1−az . Then φ is an automorphism of the disc. Let
g = φ ◦ f ◦ φ−1 . Then g : D → D, g(0) = φ ◦ f(a) = φ(a) = 0, and
g(φ(b)) = φ ◦ f ◦ φ−1 (φ(b)) = φ(b). Furthermore, g is holomorphic. Thus,
we may apply Schwarz Lemma, and as g(φ(b)) = φ(b), we may conclude
that g(z) = z for all z ∈ D.
Then f = φ−1 ◦ g ◦ φ is also the identity, f(z) = z.
Problem 12: Consider the annulus A := {z ∈ C : r < |z| < R}, where
0 < r < R. Show that the function f(z) = 1/z cannot be uniformly
approximated in A by complex polynomials.
Solution. Let P (z) =
arbitrary. Then
2π
0
n
ckz k be a complex polynomial. Let r < η < R be
k=0
f(ηe it )P (ηe it )dt = 1
η
= c0
η
= 0
2π
e
0
it (c0 + ηc1e it + c2η 2 e 2it + . . .)dt
2π 2π
0
e it dt + c1
0
e 2it dt + . . .

38 ANALYSIS QUALS
But as 2π
0 f(ηeit )f(ηeit )dt = 2π
2π
2π
=
η2 ≤
0
2π
Thus, f − P ∞ ≥ 1
η
0
η2 , we have that
f(ηeit ) f(ηe it ) − P (ηe it )
dt
f(ηe it ) f − P ∞ dt
= 2π
η f − P ∞
for every such choice of η, so f − P ≥ 1
R
for any
polynomial P , and hence there can be no sequence of polynomials that
converges uniformly to f.
Problem 13: Let Ω ⊂ C be an open set containing the closed unit disk D,
and let fn : Ω → C be a sequence of holomorphic functions on Ω which
converge uniformly on compact subsets of Ω to a limit f : Ω → C. Suppose
that |f(z)| = 0 whenever |z| = 1. Show that there is a positive integer N
such that for n ≥ N, the functions fn and f have the same number of zeros
in the unit disk D.
Solution. As |f(z)| = 0 and {|z| = 1} is compact, we can let m = min |z|=1 |f(z)|.
As fn → f uniformly, we may choose N so that n ≥ N implies that
|fn(z) − f(z)| < m
2 for all z ∈ ∂D.
Then |fn − f| < |f| on ∂D, so by Rouche’s Theorem, fn and f have the
same number of zeros inside D.
Fall 2007
Problem 1: Let f : R → R be a function of class C 1 , periodic of period 2π,
and satisfying
Prove that π
π
−π
|f(t)|
−π
2 dt ≤
f(t)dt = 0.
π
|f
−π
′ (t)| 2 dt.
Find all such functions for which equality holds.
Proof. Write ˆ f(n) for the nth Fourier coefficient of f. Then we have that
ˆf ′ (n) = in ˆ f(n).
By Parseval, we know that
π
|f(t)| 2 ∞
dt = 2π ˆ
f(n) 2
,
and
2π
∞
n=−∞
−π
ˆ
f(n)
2
≤ 2π
∞
n=−∞
n=−∞
n ˆ
f(n)
2
=
π
|f
−π
′ (t)| 2 dt,

ANALYSIS QUALS 39
where the inequality follows since ˆ f(0) = 0 by assumption, and the equality
also comes from Parseval.
If equality holds, then ˆ f(n) = 0 for all n, so f is identically zero, as seen
below in problem 8 of this exam.
Problem 2: Is there a closed uncountable subset of R which contains no
rational numbers? Prove your answer.
Solution. Let {qn} be an enumeration of the rational numbers. Then we
have that
∞
Q = B(qn, 2 −n )
n=1
is a countable union of open sets, and hence is open. Thus, R\Q is closed
and contains no rational numbers. Furthermore,
∞
µ(Q) ≤ 2 1−n < ∞,
n=1
so R\Q has strictly positive Lebesgue measure, and hence is uncountable.
Problem 3: (a) Prove that a complete normed vector space (a Banach space)
is either finite-dimensional or has uncountable dimension in the vector
space sense, i.e., it is not generated as finite linear combinations of
elements of some countable subset.
(b) Use part (a) to give an example of a vector space that cannot be given
the structure of a Banach space, that is, it is not complete in any norm.
Solution. (a) Assume X is a an infinite-dimensional Banach space, and
assume for sake of contradiction that (xi)is a countable Hamel basis
for X. Let Vn = span{x1, . . . , xn}. Then X = ∞
i=1 Vn. Note that
Vn is finite dimensional, so it is isomorphic as a Banach space to R n ,
and thus is a closed subspace. However, Vn is nowhere dense, as Vn
contains no open balls in V . Thus, by the Baire Category Theorem,
Vn = X, a contradiction.
(b) Let V be the vector space consisting of all infinite sequences with
finitely many non-zero terms. Then V has a countable Hamel basis:
let xi be the sequence of all zeros with a 1 in the ith coordinate. Every
element of V can be written uniquely as a finite linear combination of
the xi. Thus, by part (a), V cannot be a Banach space.
Problem 4: Prove that non every subset of [0, 1] is Lebesgue measurable.
Solution. Consider the relation x ∼ y is x − y ∈ Q. This is an equivalence
relation. For α ∈ [0, 1], let Eα be the equivalence class of α. Then [0, 1] ⊂
α Eα. By the axiom of choice, we may choose exactly one element xα ∈
[0, 1] from each equivalence class, and let N be the set of these elements.
We claim that N is not Lebesgue measurable.
Assume for sake of contradiction that N is measurable. Let {rk} be an

40 ANALYSIS QUALS
enumeration of Q ∩ [0, 1]. Let Nk = N + rk for each k. Then by definition
of the equivalence relation, Nk ∩ Nj = if k = j. Then
∞
[0, 1] ⊂ Nk ≤ [−1, 2].
k=1
If N is measurable, then Nk is measurable, and µ(N) = µ(Nk). Thus, we
have
∞
1 ≤ µ(Nk) ≤ 3,
and so
1 ≤
k=1
∞
µ(N) ≤ 3,
k=1
which yields a contradiction, as µ(N) can be neither 0 nor strictly positive.
Problem 7: Suppose H is a separable Hilbert space.
(a) Prove: If T : H → H is a linear mapping such that I − T < 1,
where I is the identity map of H to itself, then T is invertible.
(b) Suppose {en} is a complete, orthonormal set in H (a Hilbert space
basis). Suppose also that {fn} is an orthonormal set in H such that
en − fn 2 < 1. Prove that fn is a complete orthonormal set in H.
Solution. (a) Since I − T < 1, we have that
∞
(I − T ) n is convergent
in the norm topology to a map which is the inverse of I − (I − T ) = T .
Thus, T is invertible.
(b) An invertible bounded linear map T sends orthonormal bases to orthonormal
bases, so it suffices to find such a map T with T (ej) = fj.
Or rather, we define T by T (ej) = fj, and we show that T is invertible.
T can be considered as an infinite matrix where the i, j entry is 〈fj, ei〉.
Then let D = I − T , considered as an infinite matrix. The jth column
represents the vector ej − fj, so the sum of the squares of the norms
of the entries is strictly less than 1, by assumption. Let αi be the sum
of squares of norms of elements in the ith row.
Write x = anen. (I − T )x = bnen. Then bn =
j Dn,jajej
and
bn 2
≤ |Dn,j| 2
|aj| 2
= αn x 2 .
n−0
Hence, (I − T )x 2 ≤ x 2
i αi, so we have that
I − T ≤ αi < 1.
Thus by part (a), T is invertible.
i

ANALYSIS QUALS 41
Problem 8: Let f : R → R be a continuous function that is periodic with
period 2π. Show that if all the Fourier coefficients of f are 0, then f is
identically 0.
Proof. By Parseval, we know that
π
−π
|f(t)| 2 dt = 2π
∞
n=−∞
ˆ
f(n)
By assumption, all Fourier coefficients are 0, so the right-hand side is 0.
Thus,
π
−π
|f(t)| 2 dt = 0.
But this implies that f = 0 a.e., so since f is continuous, we have that f is
identically 0.
Problem 10: Let U be a bounded connected open set in C. Prove that if K is
a compact subset of U, then there is a constant CK such that for every point
z ∈ K and every holomorphic L2 function f on U, |f(z)| ≤ CK
.
2
.
U |f|2 1/2
Solution. Let r = dist(K, U c ). Let z ∈ K, B = B(z, r/2) ⊂ U. By mean
value principle and Cauchy-Schwarz, we have that
|f(z)| =
1
f(w)dw
Area(B)
B
≤ 4
πr2
|f(w)| dw
B
= 4
πr2
|f(w)| χBdw
U
≤ 4
πr2
|f(w)|
U
2 1/2
dw χ
U
2 1/2 Bdw
4
=
πr2 1/2 1/2 |f|
U
Thus, we let CK = 4
πr2 1/2, and note this depends only on K. This
completes the proof.
Problem 11: Let U be a bounded connected open set in C. Suppose that 0
belongs to U and that F : U → U is a holomorphic function with F (0) =
0 and with F ′ (0) = 1. Prove that F is the identity map. [Suggestion:
Consider the power series of F composed with itself many times].
Solution. In a neighborhood of 0, we can write F (z) = z +a2z 2 +a3z 3 +. . ..
Let F (n) (z) = F ◦ F ◦ · · · ◦ F (z), where there are n compositions. Then
F (n) : U → U. We have that
F (2) (z) = F (z) +
akF (z) k = z + 2a2z 2 + 2a3z 3 + . . . .
Similarly, we have that
k≥2
F (n) (z) = z + na2z 2 + na3z 3 + . . . .

42 ANALYSIS QUALS
As U is bounded, there exists M with |z| ≤ M for all z ∈ U. Then by the
Cauchy estimates, for B(0, r) ⊂ U, we have that
d
k
dzk (F (n)
(z))
M
≤ sup
rk F (n)
(z) = Cr,nM
rk .
B(0,r)
Thus, |nak| ≤ Cr,nM
rk . But since Cr,n ≤ M, if we have ak = 0, we get a
contradiction by fixing r and taking n → ∞. Thus, ak = 0 for all k ≥ 2,
which means that F (z) = z.
Problem 12: Find a conformal map to the unit disc of the half disc {z :
|z| < 1, Rez > 0}. You may write your answer as a composition of simpler
conformal maps.
Solution. Let f1(z) = z−1
z+1 . This maps the half disc to the upper left quadrant.
Let f2(z) = z2 . This maps the upper left quadrant to the lower half
plane. Let f3(z) = z+i
z−i . This maps the lower half plane to the unit disc.
Thus, f = f3 ◦ f2 ◦ f1 is the desired conformal map.
Problem 13: Suppose R is a positive number and U = {z : |z| < R}.
(a) Show that for each holomorphic function f on U, there is a power
∞
series anz n which converges at each point z ∈ U to f(z).
n=0
(b) Show that there is only one such power series.
Proof. (a) We have that for some fixed ε,
z
ξ < 1 − ε
for all ξ ∈ ∂D. Thus, the geometric series yields
∞
n z 1
= =
ξ 1 −
ξ
ξ − z .
n=0
z
ξ
But then by the Cauchy integral formula, we have that
f(z) = 1
2πi
f(ξ) 1
dξ =
ξ − z 2πi
f(ξ) 1
∞
n z
,
ξ ξ
∂D
n=0
∂D
and since we have uniform convergence in the geometric series, we may
switch the sum and integral and get
∞
1 f(ξ)
f(z) =
dξ z
2πi (ξ) n+1 n
=
∞
n=0
∂D
f (n) (0)
z
n!
n .
(b) If we had anz n = bnz n for all z ∈ D, then by matching coefficients,
we have an = bn for all n.
n=0

ANALYSIS QUALS 43
Winter 2007
Problem 1: Let fn : R → R be non-negative integrable functions with
fn1 = 1. Suppose fn → f pointwise a.e. with f = 1. Show that
fn(x)dx → f(x)dx
uniformly in the choice of Borel set A ⊂ R.
A
Solution. By Fatou’s lemma, we have that
lim inf (−|fn − f| + |fn| + |f|) ≤ lim inf −|fn − f| + |fn| + |f|.
Hence,
A
2 f1 = 2 ≤ 2 − lim sup
|fn − f|
and thus fn − f1 → 0 as n → ∞. Then
fn(x)dx − f(x)dx
A
A
≤
|fn(x) − f(x)| dx ≤ fn − f1 .
A
Thus,
A fn(x)dx →
f(x)dx uniformly.
A
Problem 2: Consider the function f : (0, ∞) × (0, ∞) → R defined by
∞
f(x, y) =
n=0
x
x2 .
+ yn2 Show that the limit g(y) := limn→∞ f(x, y) exists for all y > 0 and compute
g(y).
Solution. We have that
f(x, y) =
∞
n=0
= x
y
x
x2 1/y
·
+ yn2 1/y
∞
n=0
= 1 x
+
x y
But we also have that
∞
∞
1
1
≤
dn =
+ n2 + n2
n=1
x 2
y
0
x 2
y
x 2
y
1
+ n2
∞ 1
.
+ n2
n=1
x 2
y
√ y
x arctan
n √ y
x
n=∞
n=0
Thus, f(x, y) ≤ 1 π
x + 2 √ π
y . Similarly, f(x, y) ≥ 2 √ y . Thus,
Problem 3: Let f ∗ g(x) =
π
lim f(x, y) =
x→∞ 2 √ y .
√
y
=
x
· π
2 .
f(x − y)g(y)dy denote the convolution of f
R
and g. Fix g ∈ L1 (R). Do the following:
(1) Show that Ag(f) := f ∗ g is a bounded operator L1 (R) → L1 (R).
(2) Suppose in addition g ≥ 0. Find the corresponding norm Ag.

44 ANALYSIS QUALS
(3) Show that the only f ∈ L 1 (R) for which f ∗ f = f is f = 0.
Solution. (1) We have that
Ag(f) =
f(x − y)g(y)dydx
≤ f1 g1 ,
R
R
so as g ∈ L1 , we have that Ag is a bounded operator.
(2) By part (1), we have that Ag ≤ g. We have that
Ag(g) = g(x−y)g(y)dydx = g(y) g(x−y)dxdy = g(y) g dy = g 2 ,
R
R
R
R
and so Ag ≥ g, and hence Ag = g.
(3) Suppose that f ∗ f = f. Then by taking Fourier transforms, we have
that f ˆ∗
f = ˆ f. But using properties of Fourier transforms, we have
f ˆ∗
f = ˆ f · ˆ f. Thus, ˆ f 2 − ˆ f = 0 a.e. Hence ˆ f = 0 or 1 a.e.
But since f ∈ L1 , we have that ˆ f is continuous and vanishes at ∞ by
Riemann-Lebesgue theorem, so we conclude that ˆ f = 0 everywhere.
Then by Fourier inversion, we conclude that f = 0.
Problem 4: Let α ∈ R\Q and let T : L 2 ([0, 1]) → L 2 ([0, 1]) be defined by
(T f)(x) = f(x + α mod 1).
Denote Snf = f + T f + T 2f + · · · + T n−1f. Do the following:
(1) For any f ∈ L2 ([0, 1]), prove that 1
nSnf converges in L2 . Identify the
limit.
(2) Suppose f : [0, 1] → R is continuous with f(1) = f(0). Show that the
convergence in (1) is uniform.
Solution. We prove both at once. We claim that 1
nSnf(x) → 1
f(t)dt for
0
every x ∈ [0, 1], and that the convergence is uniform for continuous periodic
functions.
First, let f(x) = e2πikx . If k = 0, the statement is clearly true. Suppose
k = 0. Then the statement is that
N−1
1
e
N
2πik(x+nα) →
n=0
1
0
e 2πikt dt.
But by the geometric series, the LHS is equal to
2πikx 1 1 − e
e
N
2πiNαk
1 − e2πiαk and since α /∈ Q, the denominator is never 0. Hence, this approaches 0 as
N → ∞, and 1
0 e2πikxdx = 0, so the statement is true for all trigonometric
polynomials.
Now let ε > 0, f a continuous function from R/Z to R. As trigonometric
polynomials are uniformly dense in the space of continuous periodic
functions, we may choose P (x) trigonometric such that
sup |f(x) − P (x)| <
x∈R/Z
ε
3 .
R

Then for N sufficiently large, we have that
N−1
1
1
P (x + nα) − P (t)dt
N
Then
n=0
1
N
N−1
n=0
ANALYSIS QUALS 45
0
f(x + nα) −
≤ 1
N−1
|f(x + nα) − P (x + nα)| +
N
n=0
+
1
0
1
N
1
0
N−1
n=0
f(t)dt
|P (t) − f(t)| dt < ε.
< ε
3 .
P (x + nα) −
1
0
P (t)dt
Thus, the convergence is uniform, which proves part (2). Part (1) follows
by noting that continuous periodic functions are dense in L2 ([0, 1]).
n
Problem 5: Let An(f) = 1
n f(x)dx. Show that there exists a continuous
0
linear functional A : L∞ (R+) → R such that
A(f) = lim
n→∞ An(f)
whenever the limit exists. Here, R+ = (0, ∞).
Solution. We define A as above, and prove that it is a continuous linear
functional on L ∞ (R+). Clearly, A is a linear functional, as for c, d ∈ R,
A(cf + dg) = lim
n→ An(cf + dg) = lim
n→∞ cAn(f) + dAn(g) = cA(f) + dA(g).
Thus, it suffices to show that A is bounded. But we have that
|A(f)| =
lim
n
1
f(x)dx
n→∞ n
0
n
= lim
1
n→∞ f(x)dx
n
0
n
1
≤ lim |f(x)| dx
n→∞ n 0
n
1
≤ lim f
n→∞
L∞ dx
n
0
= lim
n→∞ f L ∞
= f L ∞ .
Thus, A is a bounded linear functional, with A ≤ 1.
Problem 6: Let X be a Banach space and let A : X → X be a linear map.
Define
ρ(A) = {λ ∈ C : (λ − A) maps X onto X}
Show that ρ(A) is an open subset of C.

46 ANALYSIS QUALS
γR
Solution. The problem is false as stated, as some assumption of boundedness
must be made. A counterexample is to let X be l ∞ , the space of
bounded sequences (x1, . . . , xn, . . .), and let
A : (x1, . . . , xn, . . .) ↦→ (x1, x2/2, . . . , xn/n, . . .).
Then A is linear and surjective, so 0 ∈ ρ(A), but 1/n ∈ ρ(A) for any n ∈ N,
so ρ(A) is not open.
That said, we alter the problem and change the definition of ρ(A). Let
ρ(A) = {λ ∈ C : (λ − A) −1 exists and is bounded}
Let G be the set of operators on X with bounded inverse. We claim that
G is open. Let S ∈ G and suppose that T − S < S −1 1 .
Then S −1 T − I = S −1 (T − S) < 1, so we have that
(S −1 T ) −1 = (I − (I − S −1 T )) −1 = (I − S −1 T ) i exists.
Therefore T −1 = (S −1 T ) −1 S −1 , so T is invertible. Therefore, G is open.
Define f : C → B(X) by α ↦→ (αI − T ). Then f is continuous, so f −1 (G)
is open. But f −1 (G) = ρ(A), so ρ(A) is open.
Problem 8: Determine the number of zeros of the polynomial
p(z) = z 4 + z 3 + 4z 2 + 2z + 3
in the right half-plane {z : Re z > 0}.
Solution. Let ΓR be the contour that is the right half of the circle of radius
R centered at the origin. Let γR be the semi-circle part of the contour, and
let γR ˆ be the segment from Ri to −Ri.
Note that on {Re z = 0}, we have that Re p(it) = t 4 − 4t 2 + 3 = (t 2 −
3)(t 2 − 1), and Im p(it) = −t 3 + 2t = −t(t 2 − 2). Thus, there are no zeros
on {Re z = 0}.
Thus, we can use the argument principle in this contour, which says that
p
ΓR
′ (z)
p(z) dz = 2πi(number of zeros in the interior of ΓR). By taking R → ∞,
we can calculate the total number of zeros in {z : Re z > 0}.
On γR, p(z) = z 4 + O(|z| 3 ), and p ′ (z) = 4z 3 + O(|z| 2 ), so p′ (z)
p(z) = 4z−1 +
O(|z| −2 ). Thus,
p ′ (z)
dz =
p(z)
π
0
Ri · 4 · e−θ
R dθ + O(|R|−1 ) = 4πi + O(|R| −1 ) → 4πi as R → ∞.
On ˆ
γR, note that critical points (points where p crosses either the real or
imaginary axes) are at t = 0, ±1, ± √ 2, ± √ 3 for z = it. Suppose R > √ 3.
Then on ( √ 3i, Ri), p takes values in the 4th quadrant (by noticing that
the real part is positive and the imaginary part is negative). Similarly, we

ANALYSIS QUALS 47
see that on ( √ 2i, √ 3i), p is in the 3rd quadrant; on (i, √ 2i), p is in 2nd
quadrant; on (0, i), p is in 1st quadrant; on (−i, 0), p is in 4th quadrant; on
(− √ 2i, −i), p is in 3rd quadrant; on (− √ 3i, − √ 2i), p is in 2nd quadrant;
and on (−Ri, √ 3i), p is in the 1st quadrant.
Thus, moving from Ri to −Ri gives two clockwise revolutions around the
origin, meaning the winding number is 2, which means that p
γR ˆ
′ (z)
p(z) dz →
−4πi as R → ∞.
Hence,
ΓR
p ′ (z)
p(z) dz → 4πi − 4πi = 0, so there are no zeros in {Re z > 0}.
Problem 9: Let f(z) be analytic for 0 < |z| < 1. Suppose there are C > 0
and m ≥ 1 such that
f (m)
(z) ≤ C
, 0 < |z| < 1.
|z| m
Show that f(z) has a removable singularity at z = 0.
Solution. Suppose that f(z) has Laurent series
∞
cnz n =
−1
cnz n ∞
+ cnz n .
Then
f (m) (z) =
n=−∞
−1
n=−∞
cn
n=−∞
n=0
n!
(n − m)! zn−m ∞
+
n=0
cn
n!
(n − m)! zn−m .
Then as f (m) (z) ≤ C
|z| m for 0 < |z| < 1, we have that cn = 0 for n < 0.
∞
Thus, f(z) = cnz n , so f is analytic on D.
n=0
Problem 10: Let J = {iy : 1 ≤ y < ∞} and H be the open upper half
plane. Consider the domain D = H\J. Find a bounded harmonic function
u : D → R such that u(x + iy) → 0 as y ↓ 0 and u(z) → 1 as z → J. It is
fine to represent the solution in terms of a composition of conformal maps.
Proof. Let’s map this slit half plane to something better, keeping track of
where we’re sending J. Let f1(z) = z−i
z+i . Then f1 takes D to the slit disc,
and takes J to the slit.
Let f2(z) = √ z, under the branch cut that makes sense (positive real axis).
Then f2 takes the slit disc to the upper half disc, taking the image of J to
R ∩ D.
Let f3(z) = z−1
z+1 . Then f3 takes the upper half disc to the second quadrant
of the plane and takes the image of J to the negative real axis.
Let f4(z) = iz2 . This takes the second quadrant to the right half plane,
taking the image of J to the positive imaginary axis.
Let f5(z) = Log(z), with the negative real axis branch cut. Then f5 takes
the right half plane to the horizontal strip between iπ/2 and −iπ/2, which
takes J to the line Im(z) = π/2.

48 ANALYSIS QUALS
Let f = f5 ◦ f4 ◦ f3 ◦ f2 ◦ f1. Then f is a conformal map taking D to
a strip, which takes J to the line Im(z) = π/2, and takes R to the line
Im(z) = −π/2.
Let u(z) = 1 1
2 + π Im(f(z)). Then since the imaginary part of a holomorphic
function is harmonic, we have that u is harmonic on D, and u(x + iy) → 0
as y ↓ 0 and u(z) → 1 as z → J.
Problem 11: Prove that a meromorphic function f(z) in the extended complex
plane C ∗ = C ∪ {∞} is the sum of the principal parts at its poles.
Solution. In a neighborhood of each pole a of f, we have
f(z) = c−m
(z − a)
c−1
+ · · · +
(z − a) m−1 z − a + c0 + c1(z − a) + · · · ,
m + c−m+1
c−m
where the principal part is (z−a) m + · · · + c−1
z−a . Either f vanishes at infinity
or not. That is, either f(1/z) has a pole at 0 or a removable singularity at
0. If f(1/z) has a pole at 0, then f has a pole at ∞.
Including possibly ∞, let z1, . . . , zm be the poles of f. Near each non-infinite
zk, as above, we may write f(z) = fk(z) + gk(z), where fk is the principal
part and gk is holomorphic If zk = ∞, we can write f(1/z) = ˜ f∞(z)+g∞(z),
where ˜ f∞(z) is the principal part at 0 of f(1/z), and g∞ is holomorphic in
a neighborhood of 0. Define fk(z) = ˜ f∞(1/z).
Let H = f −
m
fk. Near each pole, we have subtracted the principal
k=1
part of f, so we see that H is entire (the singularities at the points zk are
all removable). But since we also subtracted ˜ f∞(1/z), we have that H is
bounded. Hence by Liousville, H is constant. But by the definition of H,
we must have that H = 0 everywhere. Thus, f is the sum of the principal
parts of its poles.
Problem 12: Let D be a domain (connected open set) in C and let (un) be a
sequence of harmonic functions un : D → (0, ∞). Show that if un(z0) → 0
for some z0 ∈ D, then un → 0 uniformly on compact subsets of D.
Solution. As un(z0) → 0, we have that {un(z0)} is Cauchy. Thus, for every
ε > 0 there exists N such that 0 ≤ un(z0) − um(z0) < ε for all N ≤ n ≤ m.
Let K ⊂ D be compact. Harnack’s inequality states that there exists a constant
CK > 0 so that maxx∈K u(x) ≤ CK minx∈K u(x) for u : D → (0, ∞)
harmonic.
Applying this to un − um, we have that
max
x∈K (un(x) − um(x)) ≤ CK min
x∈K (un(x) − um(x)).
If z0 ∈ K, then minx∈K(un(x) − um(x)) < ε, and thus un → 0 uniformly
on K.

ANALYSIS QUALS 49
If z0 ∈ K, choose K ′ such that K ′ ∩ K = ∅ and z0 ∈ K ′ , and choose
z1 ∈ K ′ ∩K. Since un(z1) → 0, the argument can be repeated to show that
un → 0 uniformly on K.
Thus, un → 0 uniformly on compact subsets of D.