Zero as an element of an eigenvector

In summary, the conversation discusses the possibility of a zero appearing as an element in an eigenvector of a matrix. The speakers mention that if the zero is the last element of the eigenvector, it can be determined by partitioning the matrix and solving equations. However, they also question if there is a way to determine this without explicitly calculating the eigenvector.
  • #1
ekkilop
29
0
Quick question on eigenvectors;

Are there any general properties of a matrix that guarantee that a zero will or will not appear as an element in an eigenvector?

Thank you!
 
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  • #2
Suppose the zero is the last element of the eigenvector. Then you can partition the matrix and write
##\begin{bmatrix} A & u \\ v^T & s \end{bmatrix}\begin{bmatrix} x \\ 0 \end{bmatrix} = \lambda
\begin{bmatrix} x \\ 0 \end{bmatrix}## where ##u## and ##v## are vectors and ##s## is a single matrix element.

Multiplying out you get the two equations ##Ax = \lambda x## and ##v^t x = 0##. Interestingly, the last column of the original matrix doesn't appear in those equations.
 
  • #3
Thank you for your reply!

Is there a way to determine from the matrix whether a zero will appear without calculating the eigenvector explicitly?
 

1. What is an eigenvector?

An eigenvector is a vector that, when multiplied by a specific matrix, results in a scalar multiple of itself. This scalar multiple is known as the eigenvalue.

2. Can zero be an element of an eigenvector?

Yes, zero can be an element of an eigenvector. In fact, an eigenvector can have any number of zero elements as long as it still satisfies the definition of being multiplied by a matrix to result in a scalar multiple of itself.

3. What does it mean when zero is an element of an eigenvector?

If zero is an element of an eigenvector, it means that the corresponding eigenvalue for that eigenvector is zero. This can have implications for the behavior of the matrix and its transformations.

4. How does having zero as an element of an eigenvector affect the matrix?

Having zero as an element of an eigenvector can affect the matrix in several ways. It can indicate that the matrix has a non-invertible transformation or that it has a degenerate eigenspace. It can also affect the eigenvalues and eigenvectors of the matrix.

5. Are there any real-world applications of zero as an element of an eigenvector?

Yes, there are many real-world applications of zero as an element of an eigenvector. For example, in physics, zero eigenvalues represent the stable or critical points of a system. In economics, zero eigenvalues can represent equilibrium points in a market. In computer science, zero eigenvalues can be used to identify key features in data.

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