Sure, you can download it from here:
https://gist.github.com/ee7157b4446dfe5a20fb
Chris, the book was recommended us during class but as far as I know
they "only" treat analytically solvable cases. People love this model
which is why the book is still hundreds of pages thick without talking
about
Hello everyone,
thank you very much for your participation! I have attached the code.
It is probably not the cleanest you can find, but it works for now..
You can control the size of the matrix by setting the variables sites,
n_up, and n_down which I have moved to the top of the script. The goal
w
I have tried to do it non-symbolically, but I think it is rather
inelegant. I am also trying to promote the use of python/sage over the
use of Mathematica with my fellow students and it is somewhat
important to show that they can do the same thing for free with other
advantages. Since Mathematica i
The matrices are the representations of Hamiltonians that come up in
the one dimensional Hubbard model that is used in condensed matter
physics. The size is determined by the number of lattice sites and
electrons that are present in the system. x is the interaction energy
for the electrons.
Using
Sorry for posting again, but I just made some progress on solving this
problem: I used sagenb.com and sympy to find the eigenvalues for the
matrix above and they were calculated in a very short time. Using my
local sage, I get the same result in the same time as well. Only when
using straight pytho
I noticed there is an error in the matrix, which I thought might have
prevented sympy from calculating the right values, but Mathematica
calculates this and even bigger matrices instantly. What I find
interesting though is that Maxima has the same problems with the
matrix. I have attached a new mat
So, actually the matrix I was talking about is even bigger, it is
400x400. As you can see, this the smaller one which my computer can
also not handle. I also tried using Maxima which didn't work either.
Am I doing something wrong in the setup of the program? I have x
declared as a Symbol, the coeff
The chop option worked well!
Now one last problem: One of the tasks was to calculate the
eigenvalues for an even bigger matrix (20 by 20) which sympy was not
able to do in 24 hours and counting, while Mathematica solves this
problem in about one minute (according to my tutor). Am I doing
something
Thank you very much for your answer. nsimplifying has sped up the
process of finding the eigenvalues, but it is still not possible to
plot them as they are still complex and so I get an error:
TypeError: cannot create mpf from ...
and then the function. I have tried varies approaches but just add
Hello everyone,
I have a problem with sympy that has been driving me nuts for the last
two nights. I am working on a simulation of a physical system that at
some point gives me this matrix:
[ 0,-1, 0, 0, 0, 0,-1, 0, 0]
[-1, 1.0*x,-1, 0, 0, 0, 0, -1, 0
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