How Do You Determine Eigenstates and Eigenvalues for a Given Matrix Operator?

In summary, the conversation discusses finding eigenvalues and eigenstates of a matrix representation of an operator. It is shown that \frac{1}{\sqrt{2}} \left( \begin{array}{cccc} 1 & 0 & 1 & 0 \end{array} \right) is an eigenstate with an eigenvalue of 1+a. The procedure for finding eigenvalues and eigenvectors is mentioned, but it is also noted that in this case, it is possible to guess another eigenstate by looking at the matrix and the given eigenstate.
  • #1
tarq
3
0

Homework Statement



The matrix representation of an operator is

[tex]

\left(
\begin{array}{cccc}
1 & 0 & a & 0\\
0 & 1 & 0 & b\\
a & 0 & 1 & 0\\
0 & b & 0 & 1\\
\end{array}
\right)

[/tex]

Show that [tex] \frac{1}{\sqrt{2}} \left( \begin{array}{cccc}1 & 0 & 1 & 0\end{array} \right) [/tex] is an eigenstate of the operator and derive its eigenvalue. Give one other eigenstate of the operator with its eigenvalue.

The Attempt at a Solution



I can easily show that [tex] \frac{1}{\sqrt{2}} \left( \begin{array}{cccc} 1 & 0 & 1 & 0 \end{array} \right) [/tex] is the eigenstate of the operator and found that it's eigenvalue is [tex] 1+a [/tex]. I however don't understand how to work out the other eigenstates of the operator. Do you have to simply guess the other eigenstates and then check to see if they are correct by checking if it fulfills the condition [Operator][eigenstate]=[eigenvalue][eigenstate] ?, thanks for the help
 
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  • #2
Well there is a procedure for finding eigenvalues and eigenstates. The eigenvalue equation is Ax=ax <=> (A-aI)x=0 where I is the identity matrix. This has non-trivial solutions if the matrix (A-aI) is not invertible. So the condition for the existence of eigenvalues is det(A-aI)=0 and they are found as the roots of this equation. Once you know the eigenvalues you can find the corresponding eigenvectors by plugging a general vector into the eigenstate equation and solving for the components of the vector.

However, in your case it easy to guess another eigenstate just by looking at the matrix and the given eigenstate. That is obviously a lot easier and sufficient since you aren't asked to derive the vectors.
 

1. What is a matrix operator?

A matrix operator is a mathematical function that takes in one or more matrices as inputs and produces another matrix as output. It can be used to perform operations such as addition, subtraction, multiplication, and inversion on matrices.

2. How is a matrix operator different from a regular operator?

A regular operator acts on individual elements or variables, while a matrix operator acts on entire matrices as a whole. This allows for more complex and efficient calculations involving multiple values at once.

3. What are some common applications of matrix operators?

Matrix operators are widely used in fields such as physics, engineering, computer graphics, and machine learning. They are particularly useful for solving systems of linear equations, transforming objects in 3D space, and analyzing large datasets.

4. Can any matrix be used as input for a matrix operator?

Not all matrices are compatible with all matrix operators. The dimensions of the input matrices must match the requirements of the specific operator being used. For example, a matrix operator that performs multiplication will only work with matrices that have a corresponding number of rows and columns.

5. Are there any limitations to using matrix operators?

One limitation of matrix operators is that they can only be used with matrices that contain numerical values. They cannot be used with matrices that contain non-numeric elements, such as strings or symbols. Additionally, some matrix operators may have restrictions on the size or type of matrix they can operate on.

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