Linear algebra diagonalization

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SUMMARY

The discussion focuses on the process of diagonalizing a matrix in linear algebra, specifically determining whether a given matrix is diagonalizable and finding the matrix S such that S-1AS=Diag(λ1, λ2, ..., λn). The eigenvalues identified are λ=1, -4, and 4. The correct eigenvectors corresponding to these eigenvalues are <15, -7, 2> for λ=1 and <0, 7, 1> for λ=-4, which match the textbook answers. The user struggles with finding the eigenvectors for λ=4, indicating a need for further clarification on the process.

PREREQUISITES
  • Understanding of eigenvalues and eigenvectors
  • Familiarity with matrix operations and transformations
  • Knowledge of the diagonalization process in linear algebra
  • Ability to perform row reduction to echelon form
NEXT STEPS
  • Study the process of finding eigenvectors for different eigenvalues
  • Learn about the implications of diagonalization in linear transformations
  • Explore the concept of null space and its relation to eigenvectors
  • Practice solving problems involving matrix diagonalization using MATLAB or Python
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Students of linear algebra, educators teaching matrix theory, and anyone looking to deepen their understanding of matrix diagonalization techniques.

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linear algebra diagonalization :(

Homework Statement



determine whether the given matrix is diagonalizable. where possible, find a matrix S such that
S-1AS=Diag(λ12,...,λn)

Homework Equations


The Attempt at a Solution



I was able to find the eigenvalues, which are λ=1,-4,4. This is given in the back of the book as well, which matched up evenly.

Now, I'm having trouble finding the matrix S. I know I need to find the eigenvectors, and place them as columns in an n x n matrix.

When I plug 1 in, say, I come up with
0 0 0
0 2 7
1 1 -4

And for 4 I came up with
-3 0 0
0 -1 7
1 1 -7

Neither of them seem to be coming out right.

The answer in the back of the book is:

15 0 0
-7 7 1 = S
2 1 -1

Thanks, all.
 
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let's see your rref. what is the nullspace for each of these matrices?
 


With [itex]\lambda= 1[/itex] your matrix requires that 0x+ 0y+ 0z= 0, 0x+ 2y+ 7z= 0, and x+ y- 4z= 0. The first equation is always true, of course, the second equation gives z= -(7/2)y and putting that into the third equation x- (7/2)z- 4z= x- (15/2)z= 0 so x= (15/2)z. Taking z= 2, an eigenvector corresponding to [itex]\lambda= 1[/itex] is <15, -7, 2>. That is exactly what you say your textbook gives as the first column.

With [itex]\lambda= 4[/itex] the corres0 7 ponding equations are -3x= 0, 0x- y+ 7z= 0, and x+ y- 7z= 0. The first equation obvioiusly gives x= 0. Putting x= 0, the second and third equations both reduce to y- 7z= 0 or y= 7z. Taking z= 1 y= 7 so an eigenvalue corresponding to [itex]\lambda= -4[/itex] is <0, 7, 1> , exactly what your textbook gives for the second column.

With [itex]\lamba= 4[/itex] the matrix [itex]A- \lambda I[/itex] must be
[tex]\begin{bmatrix}5 & 0 & 0 \\ 0 & 7 & 7 \\ 1 & 1 & 1\end{bmatrix}[/tex]
which gives equations 5x+ 0y+ 0z= 0, 0x+ 7y+ 7z= 0, and x+ y+ z= 0. What eigevector do those give?
 

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