Convergence of Fourier series
By David Loeffler (P865) on Wednesday,
May 17, 2000 - 11:06 pm :
It follows from Weierstrass' M-test that if the Fourier
coefficients of a function form an absolutely convergent series,
then the function must be continuous. Is the converse true, i.e.
do the coefficients converge absolutely for all continuous
functions?
David Loeffler
By Richard Samworth (Rjs57) on
Tuesday, May 30, 2000 - 04:51 pm :
David,
The converse is false, but is true if the function is continuously
differentiable. This should give you a starting point for finding a
counterexample. The reason why it is true if f is continuously differentiable
is because in that case, integration by parts shows that
for
Now consider the sum you're trying to show is finite, ignore the
term and use the equation above, the Cauchy-Schwarz inequality on
and
and then Parseval's theorem to give the
result.
Please excuse my laziness in not writing this out in full. Exams (e.g. on
Fourier Analysis!) looming! Please write back if you'd like more explained,
although allow a week or so for delivery!
Best wishes
Richard
By David Loeffler (P865) on
Tuesday, June 6, 2000 - 01:45 pm
:
Richard,
Sorry, but you've lost me slightly there. I don't really get what
your starred equation is saying. (Sorry for taking so long to
reply myself but I have had a few A level modules, so I know how
you feel!)
David
By Richard Samworth (Rjs57) on
Wednesday, June 7, 2000 - 09:39 pm
:
David,
The ' denotes differentiation and the ^ denotes the operation of
finding the Fourier coefficients. So what this formula gives is
an expression for the Fourier coefficients of the derivative of a
function in terms of the Fourier coefficients of the original
function.
My last exam is tomorrow (Fourier analysis was today!) so I'll
write a proper reply soon.
In the meantime please write back to say whether this has helped
at all and whether you know what Parseval's theorem,
Cauchy-Schwarz etc. are.
Best wishes
Richard
By David Loeffler (P865) on
Tuesday, June 13, 2000 - 12:43 pm
:
Yes, I see what you're getting at now. I was working with the sine-cosine form
of the series rather than the exponential form - in which the same relation
almost holds, but not quite. Anyway, Cauchy-Schwartz:
|
|
with equality iff
const almost everywhere.
Parseval:
|
|
for all continuously differentiable
.
Are these right?
By Richard Samworth (Rjs57) on
Wednesday, June 14, 2000 - 06:47 pm
:
David,
You clearly know an awful lot more about Fourier series than I did when I was
doing A-level modules! Related to what you said about the sine-cosine and
exponential forms of Fourier series, we need to make slight adjustments to
your Cauchy-Schwarz and Parseval formulae. I'll try to start pretty much from
first principles and hope not to bore you!
We are interested in complex -valued periodic functions, and can think of these
as functions on
). (Don't worry if
this doesn't make much sense).
Let
denote the set of square integrable functions
, i.e. the set of functions for which
. (mod denotes the modulus of a complex number).
We can make the set of
functions
into a
complex inner-product space by means of the inner-product
(Here the
denotes complex conjugation).
Hopefully you can now see that the Cauchy-Schwarz formula for this inner
product space needs to be
.
There is another, related, inner product space which we call
, namely the
set of square-summable complex-valued sequences, that is, sequences
with
. See if you can work out the
Cauchy-Schwarz formula for this inner-product space - it's this one we're going
to need for our proof.
For integrable functions
, that is, functions
satisfying
, we define Fourier coefficients
for all integers
by
.
Parseval's formula is then:
, for all
functions
.
I don't have any more time right now, but see what you can do with the hints I
gave in the previous post as well as this one. PLEASE write back with anything
you haven't understood in this message - it has occurred to me that you may not
be aware of things like inner-product spaces,
,
, etc.!
Good luck, and let me know how you get on. I'll try to write out a full proof
when I have time.
Richard
By David Loeffler (P865) on
Thursday, June 15, 2000 - 09:45 am
:
Is the required Cauchy-Schwarz inequality
?
I now see what you meant in your original message - applying this version of
Cauchy-Schwarz, then Parseval's theorem does show
to be finite.
However, can we extend this in any way to functions which are continuous and
piecewise linear? I have tried a number of these and the coefficients seem to
tend to zero as
. (For example the ßawtooth" function which is
on
is
.) I haven't yet
succeeded in finding the counterexample you mentioned in your first message.
In fact the "nastiest" continuous function I have found is
, on
extended to be odd, which has
(according to
Maple, which unlike me can evaluate the rather nasty integrals).
By David Loeffler (P865) on
Thursday, June 15, 2000 - 01:33 pm
:
Is the general form of the Cauchy-Schwarz inequality
? As you
thought I have only a fairly vague idea of what constitutes an inner product
space, although I think I've got a book which gives the definitions somewhere.
Incidentally, in the inner product you gave for
, what is there to stop
being complex and the inequality sign losing its meaning?
By the way, sorry for the dodgy formatting in the last message and its abrupt
end - I wrote it in rather a hurry!
David.
By David Loeffler (P865) on
Friday, June 16, 2000 - 02:41 pm
:
Sorry, that Cauchy-Schwarz formula for
is wrong, isn't it? I guess you would define
,
which now satisfies
, giving the
inequality as
.
By Richard Samworth (Rjs57) on
Friday, June 16, 2000 - 02:43 pm
:
David,
You're quite right - I made a mistake when I wrote down the inner
product for L2 - it should have modulus signs around
the integral. You were almost right with your general form of
Cauchy-Schwarz, except it too needs modulus signs around the
inner-product on the left-hand side, as it is in general
complex.
Note that < a,a > is real, because it is the square of the
norm of a. Have a look at the definitions of an inner-product and
norm, and see if you can prove the general Cauchy-Schwarz
inequality. Hint: expand < a+tb,a+tb > by linearity as a
quadratic in t, use the fact that Re(< a,b > ) < =
mod(< a,b > ), and complete the square, noting that the
original inner-product is non-negative (it's the square of the
norm of a+tb).
With regard to extending the result, piecewise linear continuous
functions are differentiable almost everywhere, and the
derivative is piecewise constant (so in particular, piecewise
continuous). I'm pretty sure it shouldn't be too hard to cover
this case, therefore. Have a go and let me know how you get
on!
Best wishes
Richard
By Richard Samworth (Rjs57) on
Saturday, June 17, 2000 - 11:36 am
:
You've got the right definition of the inner product, but from my
remark in my last message you'll see that we need modulus signs
around the sum on the LHS again!
By David Loeffler (P865) on
Sunday, June 18, 2000 - 11:13 pm
:
Yes, I have the general Cauchy-Schwarz inequality. I suppose that the
conditions for equality drop out quite neatly from this as well since
can only be zero if
for some
.
It seems that any piecewise continuously differentiable function is covered by
the original argument but using Bessel's inequality in place of Parseval's
theorem. However, I'm not quite sure how restrictive the conditions are for
Bessel's inequality to hold. I did have a totally unrigorous argument that involved differentiating an
arbitrary function
times so that
is the first unbounded derivative,
and using the fact that
exists, so that
is bounded. Then integrating the resulting series
times we
would have
. I have a feeling that this may be a load of total
rubbish, but I can't quite see why. Could you suggest a counterexample to this
argument, or any way to make it more solid?
David