Hi Prof. Abbott.
I have a question about your MIT VaR class.
As we know, a symmetric matrix (like covaraince matrix) could be decomposed into EAE^-1 (where E contains all eigenvectors, A contains all eigenvalues, E^-1 equals matrix E inverse), but you have used another decomposition EAE' (where E' equals E transpose). I don't know how to prove EAE' decomposition. Could you help me about that?
Best, Zongyuan
I have a question about your MIT VaR class.
As we know, a symmetric matrix (like covaraince matrix) could be decomposed into EAE^-1 (where E contains all eigenvectors, A contains all eigenvalues, E^-1 equals matrix E inverse), but you have used another decomposition EAE' (where E' equals E transpose). I don't know how to prove EAE' decomposition. Could you help me about that?
Best, Zongyuan