MHB Set of eigenvectors is linearly independent

Fermat1
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I know eigenvectors corresponding to different eigenvalues are linearly independent but what about a set ${e_{1},...,e_{n}}$ of eigenvectors corresponding to different eigenvalues?
 
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I don't understand your question because I don't see how the two parts of your question are different.

When you say
Fermat said:
I know eigenvectors corresponding to different eigenvalues are linearly independent
Do you mean that two eigenvectors corresponding to two different eigenvalues
but what about a set ${e_{1},...,e_{n}}$ of eigenvectors corresponding to different eigenvalues?
but asking, "what if there are more than two?". One can show generally, "if, in a set of vectors, any two are independent (au+ bv= 0 only if a= b= 0 which is the same as saying that b is NOT a multiple of a and vice-versa) then all the vectors are independent."
One can prove that by first proving 'if u_1, u_2, ... u_n are each independent of v, then so is a_1u_1+ a_2u_2+ ...+ a_nu_n is independent of v for any numbers a_1, a_2, ..., a_n.
 
Thread 'Derivation of equations of stress tensor transformation'
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...
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