Math 318 Exam #1 Solutions
[Pages:7]Math 318 Exam #1 Solutions
1. (a) Suppose (fn) and (gn) are two sequences of functions that converge uniformly on a subset A R. Is it true that the sequence (fngn) converges uniformly on A? Prove or give a counterexample.
Answer. No. For each n, let
1
1
fn(x) = x and gn(x) = n
on the interval (0, 1).
Then
certainly
fn
1 x
uniformly
(since
it's a constant sequence) and gn 0 uniformly (since the value
of gn is independent of x). However, I claim that the sequence
1 ((fngn)(x)) = nx
does not converge uniformly. Notice that, for any given > 0 and
any
fixed x (0, 1), we can pick N
>
1 x
so that n N
implies
1
11
-0 = < ,
nx
nx N x
so the sequence (1/(nx)) converges to the zero function pointwise.
However, for any fixed N N, we can choose x such that 0 <
x < 1/N so that
1
1
- 0 = > 1,
Nx
Nx
so the convergence cannot be uniform.
(b) If your answer to (a) was "yes", does the result still hold if one of the sequences does not converge uniformly? If your answer to (a) was "no", what additional assumptions on (fn) and (gn) will yield uniform convergence of (fngn)?
Answer. Notice that the limiting function 1/x above was not bounded (though the limit of the gn obviously is). Here's the modified claim: Suppose fn f uniformly and gn g uniformly on A R and that both f and g are bounded. Then (fngn) converges uniformly on A.
Proof. Let > 0. Suppose M1 > 0 is an upper bound for f (meaning |f (x)| M1 for all x A) and that M2 is an upper
bound for g. Since fn f uniformly, there exists N1 N such that n N1 implies
|fn(x) - f (x)| < 1
for all x A. Equivalently, |fn(x)| < |f (x)| + 1 M1 + 1 for all x A.
In turn, since gn g uniformly, there exists N2 N such that n N2 implies
|gn(x)
-
g(x)|
<
2(M1
+
. 1)
Finally, since fn f uniformly, there exists N3 N such that
n N3 implies
|fn(x)
-
f (x)|
<
. 2M2
Now, if N = max{N1, N2, N3} and n N , we have
|fn(x)gn(x) - f (x)g(x)| = |fn(x)gn(x) - fn(x)g(x) + fn(x)g(x) - f (x)g(x)| |fn(x)gn(x) - fn(x)g(x)| + |fn(x)g(x) - f (x)g(x)| = |fn(x)||gn(x) - g(x)| + |g(x)||fn(x) - f (x)| (M1 + 1)|gn(x) - g(x)| + M2|fn(x) - f (x)|
<
(M1
+
1) 2(M
+
1)
+
M2 2M2
=
for all x A, so we see that, indeed, (fngn) (f g) uniformly on A.
2. (a) Let (fn) be a sequence of continuous functions. Suppose fn f uniformly on A R. Prove that
lim
n
fn(xn)
=
f
(x)
for all x A and all sequences (xn) in A converging to x.
Proof. Fix x A and let (xn) be a sequence converging to x. Let > 0. The fact that fn f uniformly on A implies that there
exists N1 N such that n N1 implies
|fn(y) - f (y)| < /2
for all y A. In turn, since fn f uniformly and each fn is continuous, the limit function f is also continuous. Hence, by Theorem 4.3.2(iv), limn f (xn) = f (x), so there exists N2 N such that n N2 implies
|f (xn) - f (x)| < /2.
Therefore, if N = max{N1, N2} and n N , then
|fn(xn) - f (x)| = |fn(xn) - f (xn) + f (xn) - f (x)| |fn(xn) - f (xn)| + |f (xn) - f (x)| < /2 + /2 =.
Since the choice of > 0 was arbitrary, we see that limn fn(xn) = f (x). In turn, since the choice of x A was arbitrary, we see that this is true for all x A, as desired.
(b) Is the converse true?
Answer.
No.
Consider
the
functions
fn(x)
=
x n
on
all
of
R.
Then
(fn(x)) 0, but not uniformly. However, the conclusion of part
(a) will hold. To see this, let x R and (xn) x. Let > 0.
Since (xn) x, there exists N1 N such that n N1 implies
|xn - x| < 1, meaning that |xn| < |x| + 1. Also, we can certainly pick N2 such that N2 > |x|+1 .
Therefore, if N = max{N1, N2} and n N , we see that
|fn(xn)-f (x)|
=
|fn(xn)-0|
=
|xn| n
|x| + n
1
|x| + N
1
|x| + N2
1
<
.
Since the choice of > 0 was arbitrary, we see that, indeed, limn fn(xn) = f (x). Since the choice of sequence (xn) x was arbitrary, the same holds for any sequence converging to x. Finally, since the choice of x was arbitrary, this is true for any x R.
3. Let fn be a monotone increasing, continuous function on [0, 1] for each
n N. Suppose f (x) =
n=0
fn(x)
converges
for
every
x
[0, 1].
Show that the function f is continuous on [0, 1].
Proof. Let > 0. The goal is to show that the series satisfies the hypotheses of the Cauchy Criterion. To that end, note that, since
fn(0) converges, there exists N0 N such that n > m N0 implies
|fm+1(0) + . . . + fn(0)| < /2.
Likewise, since fn(1) converges, there exists N1 N such that n > m N1 implies
|fm+1(1) + . . . + fn(1)| < /2.
Let N = max{N0, N1} and let n > m N . Since each fi is increasing, the function fm+1 + . . . + fn is also increasing, so Lemma 3.1, stated below, implies that
|fm+1(x) + ? ? ? + fn(x)| |fm+1(0) + . . . + fn(0)| + |fm+1(1) + . . . + fn(1)| < /2 + /2 =
for any x [0, 1]. Therefore, the series fn satisfies the hypotheses of the Cauchy Criterion for Uniform Convergence, so we see that fn converges uniformly. Since each fn is continuous, Theorem 6.4.2 implies that f is also continuous.
Lemma 3.1. Suppose g : [a, b] R is monotone increasing. Then
|g(x)| |g(a)| + |g(b)|
for any x [a, b].
Proof. The fact that g is increasing implies that
g(a) g(x) g(b)
(1)
for any x [a, b]. Therefore,
|g(x)| max{|g(a)|, |g(b)|} |g(a)| + |g(b)|,
as desired.
4. Consider a series and define
n=1
an.
Let
Sn
=
n k=1
ak
be
the
nth
partial
sum
n =
n k=1
Sk
.
n
We say that the series
n=1
an
is
Cesaro
summable
to
L
if
lim
n
=
L.
A consequence of HW 4 Problem #5 from last semester is that if
an = L, then the series is Cesaro summable to L.
(a) Show that the series
n=1(-1)n+1
is
Cesaro
summable
to
1 2
.
(You showed on HW 3 Problem #5 that this is also the Abel
sum of the series.)
Proof. Clearly,
S1 = 1 S2 = 1 - 1 = 0 S3 = 1 - 1 + 1 = 1 S4 = 1 - 1 + 1 - 1 = 0
...
1 (-1)k+1 Sk = 2 + 2 so
n =
n k=1
Sk
=
n
n k=1
1 2
+
(-1)k+1 2
n
=
n 2
+
Sn 2
=
1 + Sn .
n
2 2n
Since
Sn
is
always
either
0
or
1,
the
term
Sn 2n
certainly
goes
to
zero as n , so
lim
n
n
=
lim
n
1 + Sn 2 2n
1 =.
2
Hence,
the
series
is
indeed
Cesaro
summable
to
1 2
.
(b) Does there exist a series
n=1
an
that
is
Abel
summable
but
not
Cesaro summable?
Answer. Yes. Consider an = (-1)nn. Then on [0, 1) we have
that
(-1)nnxn = x (-1)nnxn-1 = x d
(-1)nxn
d =x
1
dx
dx 1 + x
n=1
n=1
n=0
-x = (1 + x)2 .
Therefore, since the function on the right is continuous at 1, we see that
lim
x1-
(-1)nnxn
=
lim
x1-
(1
-x + x)2
1 =-
4
n=1
is the Abel sum of the series. However, the partial sums look like
S1 = -1 S2 = -1 + 2 = 1 S3 = -1 + 2 - 3 = -2 S4 = -1 + 2 - 3 + 4 = 2
... S2k-1 = -k
S2k = k
Therefore,
0
if n is even
n =
-
n+1 2n
if n is odd.
The even terms go to zero, but the odd terms go to -1/2, so lim n does not exist, so the series is not Cesaro summable.
5. Let
n=0
anxn
be
a
power
series
with
each
an
0.
Suppose
that
the
radius of convergence is 1, so that the power series defines a function
f (x) =
n=0
anxn
at
least
on
(-1, 1).
Prove that the power series converges at x = 1 (meaning f (1) makes
sense) if and only if f is bounded on [0, 1).
Proof. () If the power series converges at x = 1, then Abel's Theorem implies that f is continuous on the compact set [0, 1] and, therefore, bounded on that set. Hence, f is bounded on [0, 1).
() On the other hand, suppose f is bounded on [0, 1). My goal is to
show that the sequence of partial sums sk(1) =
k n=0
an
is
bounded
above; since each an 0, the sequence (sk(1)) is monotone increasing,
so boundedness plus the Monotone Convergence Theorem will imply
convergence.
To see that the sk(1) are bounded, let M > 0 be an upper bound for f (x) = anxn on [0, 1), meaning that |f (x)| M for all x [0, 1).
Now, I claim that M is an upper bound for sk(1) for all k N. Suppose not. Then there exists K N such that sK(1) > M . But then, since sK(x) f (x) M for all x [0, 1), we see that
|sK (1) - sK (x)| > sK (1) - M
for any x [0, 1).
But then this means that sK cannot possibly be continuous at x = 1, since there is no that will work for = sK(1) - M > 0. On the other hand, sK is clearly continuous since it is just a polynomial. From this contradiction, then, we can conclude that M is indeed an upper bound for sk(1) for every k and, therefore, that the sequence (sk(1)) converges, which is exactly what it means to say that the power series converges at x = 1.
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