How to calculate probability distribution from the given characteristic function?

107 Views Asked by At

I want to calculate the probability distribution from the characteristic function given as

$$G(k) = e^{ik\mu_1 - \frac{\sigma^2 k^2}{2}}$$

The probability distribution is given as inverse Fourier transform of the characteristic function

$$P(x) = \int \frac{dk}{2\pi} e^{-ikx} G(x)$$

I'm stuck in solving this integral. The integral of this results in the Gaussian distribution. Can someone help me out solving this integral?