Operators on infinite-dimensional Hilbert space

For ##|\alpha|\lt 1##, the sum converges and you get an eigenstate for each ##\alpha##. The eigenvalues are just the corresponding ##\alpha##.
  • #1
linbrits
3
1
Hello all!

I have the following question with regards to quantum mechanics.

If ##H## is a Hilbert space with a countably-infinite orthonormal basis ##\{ \left | n \right \rangle \}_{n \ \in \ \mathbb{N} }##, and two operators ##R## and ##L## on ##H## are defined by their action on the basis elements as follows:

##
\begin{eqnarray}
R \left | n \right \rangle & = & \left | n + 1\right \rangle ,\\
L \left | n \right \rangle & = & \left\{
\begin{array}{11}
\left | n - 1 \right \rangle & \text{for n > 1} \\
0 & \text{for n = 1}.
\end{array} \right.
\end{eqnarray}
##

What are the the eigenvalues and eigenvectors of ##R## and ##L##, if they do exist? Also, what are the hermitian conjugates of ##R## and ##L##?

Thanks in advance!
 
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  • #2
##R## can't have an eigenvector, because if it had an eigenvector ##\left|\psi\right>##, then there would be a smallest ##n_0## such that ##\left<n_0|\psi\right>\neq 0## (well ordering of ##\mathbb N##), but ##\left<n_0|R|\psi\right> = 0##.

For the eigenvectors of ##L##, you need to solve ##\lambda \sum_n a_n \left|n\right> = L\sum_n a_n \left|n\right> = \sum_n a_n \left|n-1\right>##, so you get ##\lambda a_n = a_{n+1}##. For ##a_0 := c##, you get ##a_n = \lambda^n c##. The sum will converge for ##|\lambda|\lt 1## (geometric series) and you get an eigenvector for each such ##\lambda##.
 
  • #3
linbrits said:
Hello all!

I have the following question with regards to quantum mechanics.

If ##H## is a Hilbert space with a countably-infinite orthonormal basis ##\{ \left | n \right \rangle \}_{n \ \in \ \mathbb{N} }##, and two operators ##R## and ##L## on ##H## are defined by their action on the basis elements as follows:

##
\begin{eqnarray}
R \left | n \right \rangle & = & \left | n + 1\right \rangle ,\\
L \left | n \right \rangle & = & \left\{
\begin{array}{11}
\left | n - 1 \right \rangle & \text{for n > 1} \\
0 & \text{for n = 1}.
\end{array} \right.
\end{eqnarray}
##

What are the the eigenvalues and eigenvectors of ##R## and ##L##, if they do exist? Also, what are the hermitian conjugates of ##R## and ##L##?

Thanks in advance!

Since the set [itex]\{ | n \rangle \}[/itex] is complete, you can write
[tex]R = \sum_{ n = 0 } | n + 1 \rangle \langle n | , \ \ \ \ \ (1)[/tex]
[tex]L = \sum_{ n = 1 } | n - 1 \rangle \langle n | = R^{ \dagger } . \ \ \ \ (2)[/tex]
So, you can set [itex]L = A[/itex] and [itex]R = A^{ \dagger }[/itex]. From (1) and (2), you can show [itex][ A , A^{ \dagger } ] = 1[/itex].
Now, suppose that for some [itex]\alpha \in \mathbb{ C }[/itex], we have
[tex]A^{ \dagger } | \alpha \rangle = \alpha | \alpha \rangle . \ \ \ \ \ \ (3)[/tex]
Write
[tex]| \alpha \rangle = c_{ 0 } | 0 \rangle + c_{ 1 } | 1 \rangle + c_{ 2 } | 2 \rangle + \cdots .[/tex]
Substitute this expansion in (3) and equate coefficients, you find that [itex]c_{ n } = 0[/itex] for all [itex]n[/itex]. So, [itex]A^{ \dagger }[/itex] cannot have renormalized eigen-states. If you do the same with [itex]A[/itex], you find [itex]c_{ n } = \alpha^{ n } c_{ 0 }[/itex] so that the renormalized eigen-states of [itex]A = L[/itex], for any [itex]\alpha \in \mathbb{ C }[/itex], are given by
[tex]| \alpha \rangle = \frac{ 1 }{ \sqrt{ \sum_{ n } | \alpha |^{ 2 n } } } \sum_{ n } \alpha^{ n } | n \rangle \sim \frac{ 1 }{ \sqrt{ \sum_{ n } | \alpha |^{ 2 n } } } \sum_{ n } ( \alpha A^{ \dagger } )^{ n } | 0 \rangle .[/tex]
 
  • #4
samalkhaiat said:
If you do the same with [itex]A[/itex], you find [itex]c_{ n } = \alpha^{ n } c_{ 0 }[/itex] so that the renormalized eigen-states of [itex]A = L[/itex], for any [itex]\alpha \in \mathbb{ C }[/itex], are given by
[tex]| \alpha \rangle = \frac{ 1 }{ \sqrt{ \sum_{ n } | \alpha |^{ 2 n } } } \sum_{ n } \alpha^{ n } | n \rangle \sim \frac{ 1 }{ \sqrt{ \sum_{ n } | \alpha |^{ 2 n } } } \sum_{ n } ( \alpha A^{ \dagger } )^{ n } | 0 \rangle .[/tex]
The sums don't converge for ##|\alpha|\ge 1##, so you don't get eigenstates for these values of ##\alpha##.
 

Related to Operators on infinite-dimensional Hilbert space

1. What is an operator on an infinite-dimensional Hilbert space?

An operator on an infinite-dimensional Hilbert space is a linear mapping between two Hilbert spaces, where the domain and codomain are both infinite-dimensional. These operators are used in functional analysis and quantum mechanics to represent physical quantities and transformations.

2. How are operators on infinite-dimensional Hilbert spaces different from operators on finite-dimensional spaces?

The main difference is that operators on infinite-dimensional Hilbert spaces may have infinitely many eigenvalues and eigenvectors, whereas operators on finite-dimensional spaces have a finite number of eigenvalues and eigenvectors. Additionally, the behavior and properties of operators on infinite-dimensional spaces can be more complex and require different mathematical techniques for analysis.

3. What are some examples of operators on infinite-dimensional Hilbert spaces?

Some common examples include the position and momentum operators in quantum mechanics, the differentiation operator in functional analysis, and the Laplace operator in partial differential equations. These operators have important applications in various branches of physics and mathematics.

4. How are operators on infinite-dimensional Hilbert spaces used in quantum mechanics?

In quantum mechanics, operators on infinite-dimensional Hilbert spaces are used to represent physical observables such as position, momentum, and energy. They also play a crucial role in the formulation of the Schrödinger equation, which describes the time evolution of quantum systems.

5. What are some key properties of operators on infinite-dimensional Hilbert spaces?

Operators on infinite-dimensional Hilbert spaces have many important properties, including linearity, boundedness, and self-adjointness. They also have a spectrum of eigenvalues and eigenvectors, which can be used to analyze their behavior and make predictions about physical systems. Additionally, these operators can be composed and manipulated using various mathematical operations.

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