Follow up to B=I-2A-A^2 where mu=1-2lambda+(lambda)^2

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SUMMARY

The discussion confirms that if \(\lambda=1\) is an eigenvalue of matrix \(A\), then matrix \(B\) is singular. This conclusion is reached by evaluating \(\mu(1)=1-2+1=0\), leading to the determinant condition \(det(B-\mu I)=0\). Since \(\mu=0\), it follows that \(det(B-0I)=det(B)=0\), establishing that \(B\) is indeed singular. The discussion emphasizes the determinant method as a valid approach to demonstrate the singularity of matrix \(B\).

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Dustinsfl
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Show that if [tex]\lambda=1[/tex] is an eigenvalue of A, then the matrix B will be singular.

[tex]\mu(1)=1-2+1=0[/tex]

[tex]B\mathbf{x}=0\mathbf{x}[/tex]

or does this need to be done via determinant?

[tex]det(B-\mu I)=0[/tex] since [tex]\lambda=1, \mu=0[/tex].

[tex]det(B-0I)=det(B)=0[/tex] Hence B is singular.
 
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Dustinsfl said:
Show that if [tex]\lambda=1[/tex] is an eigenvalue of A, then the matrix B will be singular.

[tex]\mu(1)=1-2+1=0[/tex]

[tex]B\mathbf{x}=0\mathbf{x}[/tex]
This is true, but how did you arrive at it? Also, what's the significance of this equation in terms of what you're supposed to show?
Dustinsfl said:
or does this need to be done via determinant?

[tex]det(B-\mu I)=0[/tex] since [tex]\lambda=1, \mu=0[/tex].

[tex]det(B-0I)=det(B)=0[/tex] Hence B is singular.
This is another way to show it.
 

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