Linear Algebra Help: Calculating Eigenvalues & Eigenvectors of Matrix A

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SUMMARY

The discussion focuses on calculating the eigenvalues and eigenvectors of the matrix A, defined as A = [[3, 2, 2, -4], [2, 3, 2, -1], [1, 1, 2, -1], [2, 2, 2, -1]]. A participant expresses difficulty in making the determinant triangular for faster calculations. Another contributor clarifies that the determinant itself is a single value and suggests using row-reduction techniques to convert the matrix into upper-triangular form, which facilitates the calculation of eigenvectors for each eigenvalue.

PREREQUISITES
  • Understanding of eigenvalues and eigenvectors
  • Familiarity with matrix row-reduction techniques
  • Knowledge of triangular matrices
  • Basic linear algebra concepts
NEXT STEPS
  • Study the process of row-reducing matrices to upper-triangular form
  • Learn about calculating eigenvalues using the characteristic polynomial
  • Explore methods for finding eigenvectors corresponding to eigenvalues
  • Review resources on linear algebra, such as the provided link to Millersville University's eigenvalue page
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Students and educators in linear algebra, mathematicians, and anyone seeking to deepen their understanding of eigenvalue and eigenvector calculations.

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Homework Statement



Calculate the eigenvalues and eigenvectors of the matrix:
$$ A= \begin{bmatrix}
3 & 2 & 2 &-4 \\
2 & 3 & 2 &-1 \\
1 & 1 & 2 &-1 \\
2 & 2 & 2 &-1
\end{bmatrix} $$

Homework Equations



nothing

The Attempt at a Solution



I've found the eigenvalues, but what disturbes me, is that I can't find a way to make the determinant triangular, as to find the values faster. Can anybody see a way to do that?
 
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You wouldn't make the determinant triangular, the determinant is just one number.

You can make the matrix triangular by row-reduction:
- number the rows top to bottom 1-4.
- reorder the rows: 3-2-4-1 --> 1-2-3-4
- after that the row-reduction to upper-triangular form should come easily.

You probably want to do this for each eigenvalue to find the eigenvectors - so the best order for the rows will be different each time.

You want to try this for the eigenvectors - consider:
http://www.millersville.edu/~bikenaga/linear-algebra/eigenvalue/eigenvalue.html
 
Last edited:

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