# Integral of Scaled Bessel Function With Linear Phase

I am trying to solve a problem part of which includes the following integral ($j=\sqrt{-1}$):

$$\int_{k_1}^{k_2} k e^{-jk\sigma} J_n(\rho k) \, \mathrm{d}k$$

The $e^{-jk\sigma}$ term is making my usual approach to the problem ineffective. However, unless I am mistaken, this same term makes the above a forward Fourier transform where $\sigma$ would be the frequency term and $k$ the time/space term:

$$\rho^{-1} \int_{k_1}^{k_2} \rho k e^{-jk\sigma} J_n(\rho k) \, \mathrm{d}k = \rho^{-1} \mathcal{F}_\sigma \left( \rho k J_n(\rho k) \right)$$

I've been looking for this transform pair (i.e., $\mathcal{F}_x(xJ_n(x))$ but have not been able to find anything. Is there a analytic solution to this?

-

$I(\sigma):=\int e^{-jk\sigma} J_n(\rho k)dk$
it is probably easier. Then use the fact that your integral above is simply $j\frac{dI}{d\sigma}$.
well, the pulse function ${\bf 1}_{[k_1,k_2]}$ is defined over all $\mathbb{R}$ and has compact support in the interval you are interested in $[k_1,k_2]$. So, you can use this $\int_{-\infty}^{\infty}{\bf 1}_{[a,b]}f(x)dx=\int_{a}^{b}f(x)dx$ to extend your integral to the whole $\mathbb{R}$ and then use fourier transforms. Of course, when you take the derivative of the pulse function, it must be in a distributional sense (some dirac deltas will appear). – Dar Far Nov 16 '12 at 12:18