What is the method for finding the eigenvector for A-0I?

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Homework Help Overview

The discussion revolves around finding the eigenvectors of the matrix A, specifically addressing the case of A - 0I. The matrix A is given as a 3x3 matrix with repeated rows, leading to eigenvalues of 5 and 0.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants explore the characteristic equation and its implications for eigenvalues and eigenvectors. There is a focus on determining the eigenvectors corresponding to the eigenvalue 0, with attempts to express relationships among the variables.

Discussion Status

Some participants have provided guidance on how to express the solutions for the eigenvectors in terms of free variables, while others have questioned the correctness of previously identified eigenvectors for A - 5I. Multiple interpretations of the problem are being explored, particularly regarding the eigenvectors for A - 0I.

Contextual Notes

There is an emphasis on the algebraic and geometric multiplicities of the eigenvalues, with a specific focus on the implications for the number of linearly independent eigenvectors associated with the eigenvalue 0. The discussion also highlights the need for clarity in expressing the relationships among the variables in the eigenvector equations.

ganondorf29
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Homework Statement


A = [2,1,2;2,1,2;2,1,2]

Find the Eigenvectors of A



Homework Equations





The Attempt at a Solution



First I found the eigenvalues of A
<br /> det(A - \lambda I) = 0<br />


<br /> \lambda = 0,5<br />

__________________________________________
A-5I

[-3,1,2;2,-4,2;2,1,-3] --(rref)--> [1,0,-1;0,1,1;0,0,0]

x1 = x3
x2 = -x3

v1 = [1;-1;1]

Is this the right eigenvector for A-5I?
_______________________________________________

A-0I

[2,1,2;2,1,2;2,1,2] --(rref)--> [1,1/2,1;0,0,0;0,0,0]

x1 + x2/2 + x3 = 0


I'm not sure what to do in order to find the eigenvector for A-0I
 
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the characteristic equation gives you a bit more help than that
A = \begin{pmatrix} <br /> 2 &amp; 1 &amp; 2 \\<br /> 2 &amp; 1 &amp; 2 \\<br /> 2 &amp; 1 &amp; 2 <br /> \end{pmatrix}<br />

A - \lambda I = \begin{pmatrix} <br /> 2- \lambda &amp; 1 &amp; 2 \\<br /> 2 &amp; 1- \lambda &amp; 2 \\<br /> 2 &amp; 1 &amp; 2- \lambda <br /> \end{pmatrix}<br />

taking the determinant simplifies to
\lambda^2(5 -\lambda)

giving eigenvalues:
5 with algebraic multiplicity of 1
0 with algebraic multiplicity of 2

the goemtric multiplicity (number of linearly independent eignevectors) is always less than or equal to the algebraic multiplicity

this means there will be one eignevector corresponding to \lambda = 5 [\itex] and upto 2 corresponding to \lambda = 0 [\itex]
 
Last edited:
ganondorf29 said:
A-5I

[-3,1,2;2,-4,2;2,1,-3] --(rref)--> [1,0,-1;0,1,1;0,0,0]

x1 = x3
x2 = -x3

v1 = [1;-1;1]

Is this the right eigenvector for A-5I?
_______________________________________________

to check if its right try multiplying the vector by the matrix

A.v_1 = <br /> \begin{pmatrix} 2 &amp; 1 &amp; 2 \\2 &amp; 1 &amp; 2 \\2 &amp; 1 &amp; 2 \end{pmatrix}<br /> \begin{pmatrix} 1 \\-1 \\1 \end{pmatrix}<br /> = \begin{pmatrix}3 \\3 \\3 \end{pmatrix}<br /> \neq 5 v_1<br />

so this is not correct
 
For A-5I
x1 = x3
x2 = x3

so [1;1;1] is the eigenvector for \lambda = 5

[2,1,2;2,1,2;2,1,2] * [1;1;1] = [5;5;5]


But I'm still not sure how to find the eigenvectors for A-0I
 
You have x1 + x2/2 + x3 = 0. You can solve for anyone of the variables in terms of the other two, so you have two degrees of freedom. So let x2=s and x3=t. Express the solutions in the form (x1, x2, x3) = s(some vector) + t(some vector). Those two vectors will be the eigenvectors.
 
ollowing on from Vela
x1 + x2/2 + x3 = 0
is the equaton of a plane through the origin, which can be spanned by any two linearly independent vectors lying in that plane, solving for x2 in term so of x1 & x3, gives
x2 = -2(x1 + x3)

note vela suggested solving for x1 first, which is fine, but i like the symmetry soving for x2

then let x1=s, x3=t and follow on, note this is equivalent to solving the 2 cases below
a) x1=1, x3=0
b) x1=0, x3=1
whih may be easier to see first time round
 

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