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from [[User:Jayling|James Ayling]]:  Any suggestions on how to go about answering Page 345 Questions 24 and 25?
 
from [[User:Jayling|James Ayling]]:  Any suggestions on how to go about answering Page 345 Questions 24 and 25?
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Answer from [[User:Park296|Eun Young]] :
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Q. 24. By thm 4, <math>A= X D X^{-1}</math> where <math>X^{-1} = X^T</math>.
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If we set <math> X^T x = y </math>, then we have <math> Q = y^T D y </math>.  We just transformed Q  to the canonical form. See P.343.
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So, <math> Q = x^T A x = y^T D y  = \lambda_1 y_1^2 + \cdots + \lambda_n y_n^2 </math> where <math>X^T x = y</math>.
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Hence, the values of Q are controlled by the sings of the eigenvalues.
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We know that there is a one-to-one correspondence between all nonzero x and all nonzero y since X is invertible.
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Hence, if Q > 0 for all nonzero x, Q > 0 for all nonzero y.
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Consider y = ( 1 0 0 ... ). Then, the first eigenvalue should be positive.
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Consider y = ( 0 1 0 ...). Then, the second eigenvalue should be positive.
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In this manner,  all eigenvalues are positive.
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You can show the others similarly.

Revision as of 05:36, 12 September 2013

Question from Ryan Russon

Ok, what in the world are we supposed to do with p. 345 #1? From what I gather, The problem asks us to find the eigenvectors of this matrix P, A (the given matrix), and then some new 'A' where A = P-1AP and show that x = Py, where y is an eigenvector of P and x is an eigenvector of both A and this new A. The eigenvalues of P are really crummy... are we allowed to use a calculator or MATLAB or something to help us with this one? Maybe I am just over-complicating this problem... HELP!


I could be mistaken, but I think question #1 should read "if y is an eigenvector of 'A' , show that x = Py are eigenvectors of A". Theorem 3 on p. 340 says that "if x is an eigenvector of A, then y = P-1x is an eigenvector of 'A' corresponding to the same eigenvalue". If that is the case, x = Py, and the only calculation you need to do on P is to find P-1 for  'A' = P-1AP. --Andrew Sauseda 23:22, 9 September 2013 (UTC)


from James Ayling: I agree with you Andrew

from Ryan Russon:

That makes A LOT more sense. Thanks guys!

from James Ayling: Any suggestions on how to go about answering Page 345 Questions 24 and 25?


Answer from Eun Young :

Q. 24. By thm 4, $ A= X D X^{-1} $ where $ X^{-1} = X^T $.

If we set $ X^T x = y $, then we have $ Q = y^T D y $. We just transformed Q to the canonical form. See P.343.

So, $ Q = x^T A x = y^T D y = \lambda_1 y_1^2 + \cdots + \lambda_n y_n^2 $ where $ X^T x = y $.

Hence, the values of Q are controlled by the sings of the eigenvalues.

We know that there is a one-to-one correspondence between all nonzero x and all nonzero y since X is invertible.

Hence, if Q > 0 for all nonzero x, Q > 0 for all nonzero y.

Consider y = ( 1 0 0 ... ). Then, the first eigenvalue should be positive.

Consider y = ( 0 1 0 ...). Then, the second eigenvalue should be positive.

In this manner, all eigenvalues are positive.

You can show the others similarly.

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Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett