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Jul 22, 2020 at 12:07 comment added Carlo Beenakker the inverse Fourier transform does not have a closed form expression for the delta function initial condition; you would need to calculate integrals of the form $\int_0^{\infty } e^{\cos k-k^2} \cos( k x) \cos (\sin k) \, dk$, which can only be done numerically.
Jul 22, 2020 at 11:39 comment added user1611107 The thing is, the idea of Fourier I am familiar with, but the backward transformation of the exp[t exp(i k Delta)] is something that I can't work out. Is there a simple form of g(x,t) that you can demonstrate the inverse transform on? E.g., if g(x,t)=delta(x) or a narrow Gaussian? Thanks again
Jul 22, 2020 at 11:34 vote accept user1611107
Jul 22, 2020 at 11:34 comment added user1611107 Ok, thank you. About the normalization: I was thinking that it is simpply a diffusion equation, with a drift term (even if the drift dependson x-\Delta). But you are right, it's a source. My mistake.
Jul 22, 2020 at 10:41 comment added Carlo Beenakker to transform back to $x$-space you calculate $g(x,t)=(2\pi)^{-1}\int_{-\infty}^\infty e^{-ikx}G(k,t)dk$. This is the general solution, it will be real if $g(x,0)$ is real; it cannot be worked out further without further information on $g(x,0)$.
Jul 22, 2020 at 9:58 comment added user1611107 Thanks. Can you please continue the solution for few more steps? Is it real, or have an imaginary part? How do you than transform back from k to x-space?
Jul 22, 2020 at 9:52 history answered Carlo Beenakker CC BY-SA 4.0