Find Corresponding Eigenvectors for Matrices A and B | Quick Help

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Homework Help Overview

The discussion revolves around finding eigenvectors for matrices A and B, where matrix A has known eigenvalues and the relationship between matrices A and B is established as B = A + 3I. Participants explore the implications of this relationship on the eigenvalues and eigenvectors of B.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the process of finding eigenvalues and eigenvectors, with some suggesting that the eigenvalues of B can be derived from those of A without explicitly calculating B. Questions arise about how the eigenvectors might change as a result of the transformation from A to B.

Discussion Status

The discussion is active, with participants sharing their reasoning and questioning the relationship between the eigenvectors of A and B. Some guidance has been offered regarding the definitions of eigenvalues and eigenvectors, and there is an acknowledgment that the eigenvectors remain unchanged despite the change in eigenvalues.

Contextual Notes

Participants note that the problem constraints suggest not explicitly calculating the eigenvectors for B, leading to a focus on theoretical understanding rather than computational methods.

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Homework Statement



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

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

Hence find the eigenvalues of B, where

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

and state a corresponding set of eigenvectors.

Homework Equations





The Attempt at a Solution




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

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

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


Well for the one with B, just solve det(b-[itex]\lambda[/itex]I)=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

[itex]Det(B-\lamda I)=0[/itex] 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-[itex]\lambda[/itex])=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

[itex]Det(B-\lamda I)=0[/itex] 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+[itex]\lambda[/itex])=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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