Consider a variable x with range (−∞,+∞) and a Gaussian distribution function p(x)=(1/2πσ)e−x2/(2σ2). (i) Check that p(x) is properly normalized. (ii) Calculate ⟨x2n⟩ for all positive integer ns. (iii) Show that ⟨e−iαx⟩=e−α2⟨x2⟩/2. (iv) Expand e−iαx as a Taylor series in x, calculate the average for every single term, resum the series, and show that you recover the result obtained in (iii).