by finding a basis of eigenvectors, by demonstrating that its minimal polynomial has rank n (where the matrix is nxn), occasionally by finding n distinct eigenvalues, or sometimes by showing that the field is algebraically closed and the matrix is in the image of some group homomorphism, or perhaps in some cases by showing that it is hermitian...
just show that it has a basis of eigenvectors, ok?
Are there known conditions under which a Markov Chain is also a Martingale? I know only that the only Random Walk that is a Martingale is the symmetric one, i.e., p= 1-p =1/2.
Hello !
I derived equations of stress tensor 2D transformation.
Some details: I have plane ABCD in two cases (see top on the pic) and I know tensor components for case 1 only. Only plane ABCD rotate in two cases (top of the picture) but not coordinate system. Coordinate system rotates only on the bottom of picture.
I want to obtain expression that connects tensor for case 1 and tensor for case 2.
My attempt:
Are these equations correct? Is there more easier expression for stress tensor...