Hello everyone,

I have already solved the first part of the question, the only left is the extra credit. Please help me. Thank you so much! The problem is attached as a file.

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- Jan 21st 2013, 12:17 AMshuier525Please help me solve this extra credit
Hello everyone,

I have already solved the first part of the question, the only left is the extra credit. Please help me. Thank you so much! The problem is attached as a file. - Jan 21st 2013, 12:53 AMchiroRe: Please help me solve this extra credit
Hey shuier525.

Have you covered eigen-values and eigen-vectors? (This is required knowledge to solve a linear ODE system). - Jan 21st 2013, 12:55 AMshuier525Re: Please help me solve this extra credit
I know eigen-values and eigen-vectors when I learn matrix. This is why I am stucked. I am not sure how to apply matrix to this problem. Could you help me?

- Jan 21st 2013, 12:56 AMshuier525Re: Please help me solve this extra credit
I know eigen-values and eigen-vectors when I learn matrix. This is why I am stucked. I am not sure how to apply matrix to this problem.

- Jan 21st 2013, 01:06 AMchiroRe: Please help me solve this extra credit
Basically the (a1,b1)^T and (a2,b2)^T are the eigen-vectors and the lambda's are the eigen-values for the solution to the DE.

If you want more information, you'll have to either pick up a linear algebra book or a book on DE's and look at the proof.

or

In Linear Algebra there are techniques to solve differential equation relationships with operators and when you deal with operators and matrices then you need to use the results of linear algebra which involve eigen-decomposition.

I don't know the proof myself, but the key ideas will involve functions of an operator (operator algebras) and the differential and integral calculus on operators.

The general proof is not going to be easy.