Find Corresponding Eigenvectors for Matrices A and B | Quick Help

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Homework Statement



The matrix,A,given by
<br /> A = \left(<br /> \begin{array}{ccc}<br /> 7 &amp; -4 &amp; 6\\<br /> 2 &amp; 2 &amp; 2 \\<br /> -3 &amp; 4 &amp; -2 \<br /> \end{array}<br /> \right)<br />

has eigenvalues 1,2,4 . Find a set of corresponding eigenvectors.

Hence find the eigenvalues of B, where

<br /> B = \left(<br /> \begin{array}{ccc}<br /> 10 &amp; -4 &amp; 6\\<br /> 2 &amp; 5 &amp; 2 \\<br /> -3 &amp; 4 &amp; 1 \<br /> \end{array}<br /> \right)<br />

and state a corresponding set of eigenvectors.

Homework Equations





The Attempt at a Solution




Well I easily found the eigenvectors
<br /> \lambda=1 corresponds to
<br /> \left(<br /> \begin{array}{c}<br /> -1\\<br /> 0 \\<br /> 1\<br /> \end{array}<br /> \right)<br />

<br /> \lambda=2 corresponds to
<br /> \left(<br /> \begin{array}{c}<br /> -4\\<br /> 1 \\<br /> 4\<br /> \end{array}<br /> \right)<br />

<br /> \lambda=4 corresponds to
<br /> \left(<br /> \begin{array}{c}<br /> 2\\<br /> 3 \\<br /> 1\<br /> \end{array}<br /> \right)<br />


Well for the one with B, just solve det(b-\lambdaI)=0 to get the e.values... but it says to state a set of e.vectors meaning that I am not supposed to work them out.
The only thing I can really say about A and B is that in B all the elements in the main diagonal are the elements in the main diagonal of A with 3 added to them
 
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In other words, B = A + 3I. Can you find a simple way to get B's eigenvalues and eigenvectors without explicitly working through B? Use the definitions of eigenvectors and eigenvalues.
 
slider142 said:
In other words, B = A + 3I. Can you find a simple way to get B's eigenvalues and eigenvectors without explicitly working through B? Use the definitions of eigenvectors and eigenvalues.

Well I could say that

Det(B-\lamda I)=0 and put B=A+3I, then say that I can reduce A to a triangular matrix such that the diagonal elements(Eigenvalues of A)+(3-\lambda)=0 and solve from there. And get the e.values to be 7,4,5. But how would the e.vectors be altered?
 
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rock.freak667 said:
Well I could say that

Det(B-\lamda I)=0 and put B=A+3I, then say that I can reduce A to a triangular matrix such that the diagonal elements(Eigenvalues of A)+(3+\lambda)=0 and solve from there. And get the e.values to be 7,4,5. But how would the e.vectors be altered?

The determinant is just a way to extract the eigenvalues mechanically. The original definition should state that L is an eigenvalue of A iff Av = Lv for some vector v (an eigenvector of A), or equivalently, A - LI = 0. Thus, to find eigenvalues L, we are looking for solutions of the equation B - LI = 0, which is equivalent to A + (3 - L)I = 0. We already know the solutions of this equation, specifically we know that L - 3 = L' where L' is an eigenvalue of A. No messing around with matrix forms or determinants necessary. Similarly, you can use the original equation to see how the eigenvectors of A compare to the eigenvectors of B. Can you see the way from here? :)
 
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I got the same answer but it all amounts to the same thing I guess.thanks

But then the e.vectors would be unchanged?
 
rock.freak667 said:
I got the same answer but it all amounts to the same thing I guess.thanks

But then the e.vectors would be unchanged?

Indeed, you get the equation Av = (L - 3)v, where L is an eigenvalue of B and v is an eigenvector of B, implying that whenever v is an eigenvector for A, it is also an eigenvector for B, albeit with a different eigenvalue.
 
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There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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