Diagonalizing a Matrix: Steps and Verification

In summary: After diagonalization I get a diagonal matrix that looks like this . What's the easiest way to tell if the answer is correct/incorrect?One way to tell is to build up the matrices A and B that represent the transformations that you preform in the diagonalisation process. If you've done that then you just need to perform the matrix multiplication ADB where D is the diagonal matrix, and check that it's equal to the original matrix M.If the diagonal matrix is of eigenvalues (I can't recall whether they will be for general diagonalisation), another way might be to check that the characteristic equation of M is ##(\lambda-1)^2(\lambda-(x^5+x^
  • #1
Deimantas
41
0

Homework Statement



Diagonalize matrix
a.gif
using only row/column switching; multiplying row/column by a scalar; adding a row/column, multiplied by some polynomial, to another row/column.

Homework Equations

The Attempt at a Solution



After diagonalization I get a diagonal matrix that looks like this
diag.gif
. What's the easiest way to tell if the answer is correct/incorrect?
 
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  • #2
One way to tell is to build up the matrices A and B that represent the transformations that you preform in the diagonalisation process. If you've done that then you just need to perform the matrix multiplication ADB where D is the diagonal matrix, and check that it's equal to the original matrix M.

If the diagonal matrix is of eigenvalues (I can't recall whether they will be for general diagonalisation), another way might be to check that the characteristic equation of M is ##(\lambda-1)^2(\lambda-(x^5+x^4-1))##.
 
  • #3
andrewkirk said:
One way to tell is to build up the matrices A and B that represent the transformations that you preform in the diagonalisation process. If you've done that then you just need to perform the matrix multiplication ADB where D is the diagonal matrix, and check that it's equal to the original matrix M.

If the diagonal matrix is of eigenvalues (I can't recall whether they will be for general diagonalisation), another way might be to check that the characteristic equation of M is ##(\lambda-1)^2(\lambda-(x^5+x^4-1))##.

Wolfram suggests these eigenvalues
eigen.jpg
. I must have made some mistakes then.
 
  • #4
Deimantas said:

Homework Statement



Diagonalize matrixView attachment 92744 using only row/column switching; multiplying row/column by a scalar; adding a row/column, multiplied by some polynomial, to another row/column.

Homework Equations

The Attempt at a Solution



After diagonalization I get a diagonal matrix that looks like this View attachment 92745 . What's the easiest way to tell if the answer is correct/incorrect?

Show us the actual steps you took; that way we can check if you have made any errors.
 

What is diagonalization of a matrix?

Diagonalization of a matrix is a process through which a square matrix is transformed into a diagonal matrix. This transformation is achieved by finding a set of basis vectors that can be used to represent the matrix in a simpler form, with zeros in all off-diagonal elements.

Why is diagonalization of a matrix important?

Diagonalization of a matrix is important because it simplifies calculations involving the matrix, making it easier to solve equations and perform other operations. It also provides insight into the properties of the matrix, such as its eigenvalues and eigenvectors, which can be useful in various applications.

How is diagonalization of a matrix performed?

Diagonalization of a matrix is performed by finding the eigenvalues and eigenvectors of the matrix. The eigenvectors are then used to form a diagonal matrix, with the eigenvalues as the entries along the diagonal. This transformation is achieved through a process called similarity transformation.

Under what conditions can a matrix be diagonalized?

A matrix can be diagonalized if it is a square matrix and has a set of linearly independent eigenvectors. This means that the matrix must have as many distinct eigenvalues as its size, and all of its eigenvectors must be linearly independent.

What is the significance of the eigenvalues and eigenvectors in diagonalization of a matrix?

The eigenvalues and eigenvectors play a crucial role in diagonalization of a matrix. The eigenvalues determine the diagonal entries of the diagonalized matrix, while the eigenvectors form the basis for the transformation. They also provide information about the behavior and properties of the matrix, such as its stability and dynamics.

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