Showing for which h a matrix is diagonalizable

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In summary, the question is asking for what values of h the given matrix is diagonalizable with real eigenvalues. The matrix has an upper triangular form, making the eigenvalues easily identifiable. The low-hanging fruit approach suggests checking if the given values of h result in distinct eigenvalues or a diagonal matrix. For the remaining cases, further methods may be needed to determine diagonalizability.
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Mr Davis 97
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Homework Statement


For what ##h## is the matrix ##\begin{bmatrix}1 & -h^2 & 2h \\ 0 & 2h & h \\ 0 & 0 & h^2 \end{bmatrix}## diagonalizable with real eigenvalues? (More than one may be correct)

a) -2, b) -1, c) 0, d) 1, e) 2

Homework Equations

The Attempt at a Solution


We already know the eigenvalues, since the matrix is upper triangular. How do we proceed? Do we just plug in the values of h and see if it is diagonalizable? It seems like that would take a very long time...
 
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Mr Davis 97 said:
We already know the eigenvalues, since the matrix is upper triangular.
Yes, I would say the question is poorly expressed. I think what they meant to ask here is 'for what ##h## is the matrix diagonalisable over the reals?', which means that the change of basis matrix used must have only real entries.

There is low-hanging fruit that enables determining whether some of a-e satisfy the requirement, based on the fact that:
  1. any diagonal matrix is diagonalisable
  2. any ##n\times n## matrix over field ##F## with ##n## distinct eigenvalues in ##F## is diagonalisable over ##F##.
Having picked that fruit, you will have fewer of a-e left to try to work out whether they are diagonalisable using more advanced means. Have a go at that first part first.

PS If you get stuck when you are up to the 'more advanced means' for the remaining cases, have a look in this wiki section about characterisation of diagonalisability.
 

FAQ: Showing for which h a matrix is diagonalizable

1. What does it mean for a matrix to be diagonalizable?

A matrix is diagonalizable if it can be written as a product of three matrices: a diagonal matrix, an invertible matrix, and the inverse of the invertible matrix. This means that the matrix can be simplified to a diagonal form, which makes it easier to perform calculations and analyze its properties.

2. How do you know if a matrix is diagonalizable?

A matrix is diagonalizable if and only if it has n distinct eigenvalues, where n is the size of the matrix. This means that the matrix has enough eigenvalues to fill the diagonal of the diagonal matrix. Additionally, if the matrix is square and its eigenvalues are all real, it is also diagonalizable.

3. Can all matrices be diagonalizable?

No, not all matrices are diagonalizable. In order for a matrix to be diagonalizable, it must have n distinct eigenvalues, where n is the size of the matrix. If a matrix does not have enough distinct eigenvalues, it cannot be diagonalizable.

4. What is the importance of diagonalizable matrices in science?

Diagonalizable matrices are important in many areas of science, including physics, engineering, and computer science. They allow for easier computation and analysis of systems, such as in quantum mechanics and electrical circuits. In addition, diagonalizable matrices play a crucial role in linear transformations and eigenvalue problems, which are fundamental concepts in mathematics and science.

5. How can you determine the diagonalization of a matrix?

The diagonalization of a matrix can be determined by finding its eigenvalues and eigenvectors. The eigenvalues correspond to the diagonal entries of the diagonal matrix, while the eigenvectors form the invertible matrix. By multiplying these three matrices together, you can verify that the original matrix can be written in a diagonal form.

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