I have a markov process with 5 states and I have calculated its probability density function using this code
% Define the function
f = @(y) a0*L_0 + a_neg*expm(A_neg * y)*L_neg + a_pos*exp(-A_pos * (2-y))*L_pos;
pointnums=1000;
y_values = linspace(0, 2, pointnums); % Generate y values including endpoints
%y_values = y_values(2:end-1); % Remove the endpoints
for i = 1:length(y_values)
f_values(i, :) = f(y_values(i));
end
This gives me a matrix with the dimension of pointnums*5
It means each column of the f_values is related to one state of the markov process.
How can I obtain cdf of this system.