Fourier transform of an exponential wave function
Keywords: Fourier transform · momentum-space representation · Lorentzian distribution · uncertainty relation · Plancherel theorem
Exercise 1 : Fourier transform of an exponential wave function
A particle on a line is described, at a given instant, by the wave function
Recall that the wave function in the momentum-space representation is
and that is the momentum probability density. You may use the integrals
By parity, . The variance is therefore
Both integrals converge because the real parts of the exponents are negative. We obtain The momentum density is a squared Lorentzian function centred at , with characteristic width . To verify the normalisation, set , so that :
In the position-space representation, the derivative is defined everywhere except at , where it has a jump; we therefore have almost everywhere, and The two methods agree. Since is even, , and . The formula follows from the integration by parts , which is valid here because is continuous.