It's possibe to do it by just finding the antiderivative (it'll clearly involve an arctan) but thanks to the interval you're integrating over, it's also possible to due it using complex analysis. Have you seen residue calculation?
#3
Chen
976
1
I don't believe so, no.
I calculated the antiderivative in Mathematica and it's just ugly... but how can I go about finding it?
Well, I don't think that's the case. In that post 'x' is also in numerator which makes it quite easy to be solved with substitution, here in numerator there is just constant. I think the approach will have to be slightly different..
Case 4 is the general case where this falls under (due to the denominator), the coefficient of x in the numerator is just zero.
But of course, that will influence the rest of the method a bit, it'll start like this (for example):
Actually, it worked out perfectly. And wasn't *too* complicated... ;-)
Anyway, now a different problem - I need to find the inverse Fourier transform of the function:
\frac{A}{x^2+a^2}
I tried integrating by parts and using the complex presentation of arctan to no avail. Any ideas?
#10
twoflower
363
0
TD said:
Case 4 is the general case where this falls under (due to the denominator), the coefficient of x in the numerator is just zero.
But of course, that will influence the rest of the method a bit, it'll start like this (for example):
(Oh - different branches of science use different conventions for thigns such as the FT. In physics (quantum mechanics) this notation is often used. )
Yes, which is why I thought it wouldn't matter
Chen said:
Well, perhaps you could post the solution anyway? If it's not too long, of course. Maybe I did learn some of the methods you describe as "residues"...
Do you mean the method or just the solution? Using residues, I found the inverse transform to be
f\left( t \right) = \frac{{Ae^{at} \sqrt {\frac{\pi }{2}} }}{a}
For some reason I haven't figured out yet, mathematica returns a minus in the exponent when I use the InverseFourierTransform.
#17
Chen
976
1
Mathematica also thinks there's a heaviside step function involved in there... the minus sign is probably because in the inverse transform, the exponent has a negative argument.
"My mathematica" doesn't give a Heaviside function...
In the IFT fomula (the integral), the exponent doesn't have a negative sign (the FT does). At least not in my version, but http://mathworld.wolfram.com/FourierTransform.html" agrees on that.
Well in order to understand the method, you'd need to know about residues of course. The idea is that we're going to evaluate the integral in the complex plane using a contour integral (closed path) which is a large semi-circle over the upper half plane, with say radius R. The idea is then to let R -> infinity so that you can split the integral in two parts: the large arc and the part over the x-axis (real axis).
That last part is exactly what we're looking for (since we're going from -inf to +inf) and you can show that the integral over the arc will tend to zero (thanks to the second degree function in the denominator, this is generally not the case!).
We can then evaluate the integral over the closed path by calculating all the residues of the poles which lie in our area of integration, which is in this case x=ia, the denominator becomes 0 there.
Since that's the only pole we have to consider, that'll be the only residue as well. Then the integral is given by 2\pi i Q where Q means this residue (in general: the sum of all residues).
It may still seem 'long' or 'complicated' but that's because it's new to you. When you're used to this (and you can skip the introduction), then this is a fast method for evaluating these kind of integrals without any need for 'real integration'.
Edit: before some *real mathematicians* become angry with me, I'd like to point out that the above is not very rigourous and certainly not 100% 'mathematically correct'. There are theorems which give necessary and/or sufficient condition as to when you can do the method described above (e.g. conditions when that large arc tends to zero if we let R->infinity). It was just an attempt to briefly show how this could be solved using residues.