Created
April 16, 2019 03:12
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%% copy from ocw.mit.edu | |
%% random matrix theory | |
%n=20; s=30000; d=.05; %matrix size, samples, sample dist | |
n=10; s=1000; d=.05; % s=30000 is too slow | |
e=[]; %gather up eigenvalues | |
im=1; %imaginary(1) or real(0) | |
for i=1:s, | |
a=randn(n)+im*sqrt(-1)*randn(n);a=(a+a')/(2*sqrt(2*n*(im+1))); | |
v=eig(a)'; e=[e v]; | |
end | |
hold off; [m x]=hist(e,-1.5:d:1.5); bar(x,m*pi/(2*d*n*s)); | |
axis('square'); axis([-1.5 1.5 -1 2]); hold on; | |
t=-1:.01:1; plot(t,sqrt(1-t.^2),'r'); |
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