Eigenvalue Spectrum of this Operator

In summary, the conversation discusses a Hamiltonian that describes anisotropy of g-factor and asks for help in finding the eigenvalue spectrum. The solution involves solving a linear equation system using known representations of ##\mathfrak{sl}(2)\cong \mathfrak{su}(2)## as described in the provided theorem.
  • #1
Joschua_S
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Hello

I have this Hamiltonian:

[itex] \mathcal{H} = \alpha S_{+} + \alpha^{*}S_{-} + \beta S_{z} [/itex]

with [itex]\alpha, \beta \in \mathbb{C} [/itex]. The Operators [itex] S_{\pm}[/itex] are ladder-operators on the spin space that has the dimension [itex]2s+1 [/itex] and [itex] S_{z} [/itex] is the z-operator on spin space.

Do you know how to get (if possible with algebraic argumentation) the eigenvalue spectrum [itex] \sigma( \mathcal{H} ) [/itex]?

This Hamiltonian describes anisotropy of g-factor.

Thanks
Greetings
 
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FAQ: Eigenvalue Spectrum of this Operator

What is an eigenvalue spectrum?

An eigenvalue spectrum is a set of all the possible eigenvalues of a linear operator, arranged in ascending or descending order.

How is the eigenvalue spectrum useful?

The eigenvalue spectrum provides important information about the behavior and properties of a linear operator. It can help determine if the operator is invertible, determine the stability of a system, and provide insight into the dynamics of the system.

What affects the eigenvalue spectrum?

The eigenvalue spectrum is affected by the matrix or operator itself, as well as the dimensions of the matrix. It also depends on the specific problem or system being studied.

Can the eigenvalue spectrum change?

Yes, the eigenvalue spectrum can change depending on the matrix or operator being used and any changes made to it. Even small changes to the matrix can result in significant changes to the eigenvalue spectrum.

How is the eigenvalue spectrum calculated?

The eigenvalue spectrum is calculated by finding the roots of the characteristic equation of the matrix or operator. This can be done using various numerical methods such as the QR algorithm or power iteration.

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