Finding Eigenvalues of Matrix A: Wrong Answer, What Am I Doing Wrong?

  • Context:
  • Thread starter Thread starter Yankel
  • Start date Start date
  • Tags Tags
    Eigenvalues Matrix
Join the discussion
Ask a follow-up here, or get your own question answered by working scientists, mathematicians and engineers — people, not an autocomplete.
Real named experts · corrections over time · the nuance an AI answer skips
3 replies · 2K views
Yankel
Messages
390
Reaction score
0
Hello all,

I have a matrix A and I am looking for it's eigenvalues. No matter what I do, I find that the eigenvalues are 0, 1 and (k+1), while the answer of both the book and Maple is 0 and (k+2). I tried two different technical approaches, both led to the same place.

The matrix is:

\[A=\begin{pmatrix} 1 &1 &k \\ 1 &1 &k \\ 1 &1 &k \end{pmatrix}\]

I have stated with calculating

\[\lambda I-A\]

which is

\[A=\begin{pmatrix} \lambda -1 &-1 &-k \\ -1 &\lambda -1 &-k \\ -1 &-1 &\lambda -k \end{pmatrix}\]

Now I calculate the determinant of this matrix. Whatever I do, I get the wrong answer. Can you please assist ?

Thank you.
 
Physics news on Phys.org
Hi Yankel,

I believe you actually want to find $\text{det }(A-\lambda I)=0$ in order to calculate the eigenvalues. What do you get when you try that?
 
Yankel said:
Hello all,

I have a matrix A and I am looking for it's eigenvalues. No matter what I do, I find that the eigenvalues are 0, 1 and (k+1), while the answer of both the book and Maple is 0 and (k+2). I tried two different technical approaches, both led to the same place.

The matrix is:

\[A=\begin{pmatrix} 1 &1 &k \\ 1 &1 &k \\ 1 &1 &k \end{pmatrix}\]

I have stated with calculating

\[\lambda I-A\]

which is

\[A=\begin{pmatrix} \lambda -1 &-1 &-k \\ -1 &\lambda -1 &-k \\ -1 &-1 &\lambda -k \end{pmatrix}\]

Now I calculate the determinant of this matrix. Whatever I do, I get the wrong answer. Can you please assist ?

Thank you.
Check your calculations again! You should find that $\det(\lambda I - A) = \begin{vmatrix} \lambda -1 &-1 &-k \\ -1 &\lambda -1 &-k \\ -1 &-1 &\lambda -k \end{vmatrix} = \lambda^2(\lambda-k-2).$
 
Last edited: