Wavefunction with fft and ifft in matlab

In summary, the conversation involves calculating the initial wavefunction and then using Fourier transforms and time-dependent factors to obtain the wavefunction at a given time. The code then plots the real, imaginary, and absolute values of the wavefunction at different times. There may be some issues with the code, such as needing a matrix instead of a vector, but it does not seem to be completely nonsensical.
  • #1
JohanL
158
0
I start with calculating psi(x,0). Then i use fft(psi(x,0)) to get the Fourier coefficients. and with fftshift i get the terms with negative index in the beginning. Then i multiply with the timedependent factor and use ifftshift and ifft to get the wavefunction psi(x,t).
Here is the code:

N=4096;
L=30;
k0=5.0;
x=linspace(-L,L,N);
t=linspace(0,5,N);

psi0=f.*exp(im.*k0.*x); % where f is a function that gives the initial condition

c=fft(psi0);
cs=fftshift(c);
n=-N/2:(N/2-1);

fftPSI=cs.*exp(im.*pi^2.*n.^2.*t);

fftPSIs=ifftshift(fftPSI);
PSI=ifft(fftPSIs);

But then when i plot i only get nonsense.
Can somebody please help me with this?
 
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  • #2
What's your initial function f?

And what plot commands are you using?
 
  • #3
J77 said:
What's your initial function f?

And what plot commands are you using?

Im scaling the varibles with
x'=x/a and t'=2ma^2/h-bar

fftPSI was wrong in my first post...this is the new one:
fftPSI=cs.*exp(-im.*pi^2.*n.^2.*t/900);

This all the code with the plot commands in the end and also the initial function f on row 8.

N=4096;
L=30
dt=0.25;
im=0+1i;
k0=5.0;
x=linspace(-L,L,N);

f(1:N)=0;
I=find(abs(x)>=2 & abs(x)<2.5);
f(I)=1.0;
psi0=f.*exp(im.*k0.*x);

c=fft(psi0,N);
cs=fftshift(c);
n=-N/2:(N/2-1);

t=linspace(0,5,N);

fftPSI=cs.*exp(-im.*pi^2.*n.^2.*t/900);

fftPSIs=ifftshift(fftPSI);
PSI=ifft(fftPSIs,N);



clf
subplot(3,1,1);
plot(x,f,'b')
hold on
plot(x,real(psi0),'g')
TITLE('real(psi0) och f')
axis([-30 30 -1.5 1.5])

subplot(3,1,2);
plot(x,imag(psi0),'r')
hold on
plot(x,f,'b')
TITLE('imag(psi0) och f')
axis([-30 30 -1.5 1.5])

subplot(3,1,3);
A=abs(psi0);
plot(x,A,'k')
hold on
plot(x,f,'b')
TITLE('abs(psi0) och f')
axis([-30 30 -1.5 1.5])

pause

clf
hold on
s=[0.1 0.25 0.5 1.0];
for t=s
subplot(3,1,1);
plot(x,f,'b')
hold on
plot(x,real(PSI),'g')
TITLE('real(PSI) och f')
axis([-30 30 -1.5 1.5])

subplot(3,1,2);
plot(x,imag(PSI),'r')
hold on
plot(x,f,'b')
TITLE('imag(PSI) och f')
axis([-30 30 -1.5 1.5])

subplot(3,1,3);
A2=abs(PSI);
plot(x,A2,'k')
hold on
plot(x,f,'b')
TITLE('abs(PSI) och f')
axis([-30 30 -1.5 1.5])

pause

end
 
  • #4
I'm not totally sure what your doing but I noticed a couple of things. The first, you want an out of psi(x,t). This is two dimensions, so rather than having a 1 by x vector you should have a m by n matrix. I don't know if this is where the porblem is, but replacing the line

fftPSI=cs.*exp(-im.*pi^2.*n.^2.*t/900);

with

fftPSI=cs'*exp(-im.*pi^2.*n.^2.*t/900);

will get you a matrix.

The second, the plots do not look like total nonsense. It all follows from the code :smile:

Also if you type

plot(real(cs))

you should definitely be able to see some order.
 
  • #5
I'm just curious. What are you trying to do?
 

1. What is a wavefunction in Matlab?

The wavefunction in Matlab is a mathematical representation of a quantum system. It describes the probability of finding a particle at a certain position in space.

2. What is FFT in Matlab?

FFT (Fast Fourier Transform) in Matlab is a function used to convert a signal from its original domain (time or space) to a representation in the frequency domain. It is commonly used to analyze and process signals and images.

3. What is IFFT in Matlab?

IFFT (Inverse Fast Fourier Transform) in Matlab is the opposite of FFT. It converts a signal from the frequency domain back to its original domain (time or space). It can be used to reconstruct a signal or to filter out specific frequencies.

4. How do you use FFT and IFFT in Matlab?

To use FFT in Matlab, you can use the built-in function "fft()", which takes in a signal as the input and returns its frequency domain representation. To use IFFT, you can use the function "ifft()", which takes in a frequency domain signal and returns its original domain representation.

5. What are some applications of FFT and IFFT in Matlab?

FFT and IFFT have a wide range of applications in various fields such as signal processing, image processing, audio processing, and data analysis. They are commonly used in tasks such as noise reduction, filtering, compression, and spectral analysis.

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