Evaluating a matrix at different time steps
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Dear all, I have a matrix which is a transition matrix. I need to calculate the time evolution of the associated probability distribution. The matrix is raised to 't', the time variable and I want to evaluate the matrix at different time steps. Is it possible in Matlab? The code to generate the square matrix is given below which is working well for a given value if t.
if true
N=3;
w=0.2;
t=1;
G=zeros(N);
for j=1:N %rows
for n=1:N %columns
for k=1:N %summation
G(j,n)=G(j,n)+1/N*(((1-w)+w*cos((2*pi*k)/N)).^t*cos((2*pi*(j-n)*k)/N));
end
end
end
disp(G)
end
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Andrei Bobrov
le 29 Mar 2017
Modifié(e) : Andrei Bobrov
le 29 Mar 2017
R2016b and later
N = 3;
w = 0.2;
k = 1:N;
k = reshape(k,1,1,1,[]);
jj = (1:N)';
n = 1:N;
t = (0:10);
t = reshape(t,1,1,[]);
g = ((1-w+w*cos(2*pi*k/N)).^t.*cos(2*pi*(jj-n).*k/N))/N;
G = sum(g,4);
R2016a and earlier
N = 3;
w = 0.2;
k = 1:N;
k = reshape(k,1,1,1,[]);
jj = (1:N)';
n = 1:N;
t = (0:10);
t = reshape(t,1,1,[]);
g0 = cos(bsxfun(@times,bsxfun(@minus,jj,n),2*pi*k)/N);
g1 = bsxfun(@power,1-w+w*cos(2*pi*k/N),t);
g = bsxfun(@times,g0,g1)/N;
G = sum(g,4);
1 commentaire
Vipin Padinjarath
le 29 Mar 2017
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