Evaluating a matrix at different time steps

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Vipin  Padinjarath
Vipin Padinjarath 2017 年 3 月 29 日
コメント済み: Star Strider 2017 年 3 月 29 日
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

採用された回答

Star Strider
Star Strider 2017 年 3 月 29 日
編集済み: Andrei Bobrov 2017 年 3 月 29 日
Add a separate loop for ‘t’, and a third dimension to your ‘G’ matrix:
N=3;
w=0.2;
tv = linspace(0, 10, 10); % Define Time Vector
G=zeros(N,N,length(tv)); % Preallocate Here
for t = 1:length(tv) % ‘Time’ Loop
for j=1:N %rows
for n=1:N %columns
for k=1:N %summation
G(j,n,t)=G(j,n,t)+1/N*(((1-w)+w*cos((2*pi*k)/N)).^tv(t)*cos((2*pi*(j-n)*k)/N));
end
end
end
% disp(G)
end
Define the vector of times you want to evaluate your matrix in ‘tv’. The rest of the code will then work. Each ‘page’ (third dimension elements) of ‘G’ will be ‘G’ at the corresponding times.
Also, move the preallocation step to be before the loop! Otherwise, it resets all previous values of ‘G’ to zero.
  6 件のコメント
Vipin  Padinjarath
Vipin Padinjarath 2017 年 3 月 29 日
It works perfectly now!! Cheers!Thanks again!!
Star Strider
Star Strider 2017 年 3 月 29 日
As always, my pleasure!

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その他の回答 (1 件)

Andrei Bobrov
Andrei Bobrov 2017 年 3 月 29 日
編集済み: Andrei Bobrov 2017 年 3 月 29 日
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 件のコメント
Vipin  Padinjarath
Vipin Padinjarath 2017 年 3 月 29 日
Thank you Andrei Bobrov. But for my standards, this is too much. I don't understand much of it. But will learn for sure. Thanks again.

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