Math 118 :: Winter 2009 :: Homework 2 :: Due... 1. In this exercise we work with x ∈ R

```Math 118 :: Winter 2009 :: Homework 2 :: Due February 12
1. In this exercise we work with x ∈ Rn . Find the values of α &gt; 0 for which
f (x) = (1 + kxk)−α
is integrable on Rn , in the sense of Lebesgue. [Hint: the polar change of coordinates reads
dx = rn−1 drdΩ, where Ω are the angular variables. The measure of the (n − 1)-dimensional
sphere is finite.]
2. In the notes and in class we justified the formula |fˆ(k)| ≤ Ck −1 for BV functions which are
also of class C 1 . Prove the same result for general BV functions, which are not necessarily
C 1 . [Hint: use the formula involving a limit and an integral.]
3. In this exercise, we show that proper smoothing of sinc by a moving average makes it integrable, only for some particular choice of the length over which the average is done.
Let
f (x) =
sin x
? χ[−a,a] (x),
x
where ? denotes convolution.
(a) Compute the Fourier transform fˆ(k) of f .
(b) For which values of a is fˆ(k) continuous? Think graphically.
ˆ
(c) If a is one of those values, argue that dfdk(k) is of bounded variation.
(d) In that case, how fast does f decay, and is that fast enough to get Lebesgue integrability?
(e) What becomes of (c) and (d) in case a is not “one of those values”? Justify.
4. Consider f (x) = 1/x for x ∈ [1, a] for some a &gt; 1.
(a) Consider N + 1 equispaced points xj in [1, a], with j = 0, . . . , N . Find a formula for xj .
(b) Consider
N
Y
πN +1 (x) =
(x − xj ).
j=0
If the equispaced grid were extended outside of [1, a], one would have the expression
xN +1 = a + a−1
N for the first gridpoint outside [1, a], to the right of a. Prove that
πN +1 (xN +1 ) &gt; |πN +1 (x)|
for all x ∈ [1, a]. [Hint: Compare distances to the zeros of πN +1 . Watch the sign of
πN +1 (x), there is an absolute value above.]
(c) Find an expression for πN +1 (xN +1 ), involving a factorial. This gives us a good upper
bound on maxx∈[1,a] |πN +1 (x)|.
(d) Find a formula for the n-th derivative of f (x) = 1/x.
(e) Use your results so far to give a bound on the error of polynomial interpolation of f (x)
from its samples f (xj ),
kf − pN kL∞ [1,a] ,
where pN is the Lagrange interpolant.
(f) For which values of a does this bound on the error tend to zero as N → ∞? [Hint: For
understanding how large a factorial is, it is often convenient to use Stirling’s bounds
√
√
2 n nn e−n &lt; n! &lt; 3 n nn e−n when n ≥ 1.]
```