SHO Ladder Method missed states?

In summary: N + 1) \hat{a}^\dagger \right] \, \vert \nu \rangle & = & 0\end{array}In summary, the raising and lowering operators take you between nearest neighboring orthogonal states. However, it does not tell you that the raising and lowering operators take you between nearest neighboring orthogonal states. The only way to know this is to find a contradiction.
  • #1
aimforclarity
33
0
Following Griffiths derivation on pg 44 of the eigen-states of SHO Hamiltonian, he says that we can now find all eigenvalues, but doesn't say how he knows that a and a dagger will indeed take you between nearest neighboring orthogonal states.

in other words, how do we know the ladder operators does raise us by quanta of energy,

or equivalently, how do we know that hbar omega is the smallest quanta of energy give the SHO Hamiltonian ?

Thank you :)

Aim For Clarity
 
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  • #2
1) H = a*a + ½. This means that any energy eigenstate is an eigenstate of the number operator N = a*a.
2) Given any energy eigenstate |E> with eigenvalue E, show that an|E> is also an eigenstate with eigenvalue E - n. Thus we can construct a sequence of eigenstates with progressively lower energy.
3) There will fail to be a ground state unless the sequence terminates. From the normalization, one finds that the sequence will terminate only if E - n = 0 for some n. Therefore the only possible eigenvalues are zero and the positive integers, and (a*)n|0> are the only eigenstates.
 
  • #3
Bill_K said:
1) H = a*a + ½. This means that any energy eigenstate is an eigenstate of the number operator N = a*a.
2) Given any energy eigenstate |E> with eigenvalue E, show that an|E> is also an eigenstate with eigenvalue E - n. Thus we can construct a sequence of eigenstates with progressively lower energy.
3) There will fail to be a ground state unless the sequence terminates. From the normalization, one finds that the sequence will terminate only if E - n = 0 for some n. Therefore the only possible eigenvalues are zero and the positive integers, and (a*)n|0> are the only eigenstates.

this is all true, and is a summary of grifits derivation, but it it doesn't tell you that the raising and lowering operators take you between nearest orthogonal states. what is they raised and lowered by two quanta of energy,

how do you know what the smallest quanta of energy is?
 
  • #4
Given (2) to be true, if we have another eigenstate of H with eigenvalue NOT equal to hw(n+1/2) where n is an integer, then we get a problem. Can you see what this problem is?

(so for example, say we have an eigenstate of H with eigenvalue (4 + 1/3)hw. Try and get a contradiction.)
 
  • #5
It follows from the fact that the eignevalues of the hermitian operator [itex]\hat{n} = \hat{a}^{\dagger} \, \hat{a}[/itex] are non-negative! Namely, let:
[tex]
\hat{n} \, \vert \nu \rangle = \nu \, \vert \nu \rangle
[/tex]
Assuming the eigenket [itex]\vert \nu \rangle[/itex] is normalized to unity ([itex]\langle \nu \vert \nu \rangle = 1[/itex]), we have:
[tex]
\nu = \langle \nu \vert \hat{n} \vert \nu \rangle = \langle \nu \vert \hat{a}^{\dagger} \, \hat{a} \vert \nu \rangle
[/tex]
Now, insert a compete orthonormal basis [itex]\lbrace k' \rbrace[/itex] between [itex]\hat{a}[/itex] and [itex]\hat{a}^\dagger[/itex]:
[tex]
\nu = \sum_{k'}{\langle \nu \vert \hat{a}^{\dagger} \vert k' \rangle \, \langle k' \vert \hat{a} \vert \nu \rangle} = \sum_{k'}{\left\vert \langle k' \vert \hat{a} \vert \nu \rangle \right\vert^2}
[/tex]
Each of the summands is a non-zero real number, being a modulus of a complex number. Therefore, [itex]\nu \ge 0[/itex].

Now, from the commutation relation [itex]\left[ \hat{a}, \hat{a}^\dagger \right] = 1[/itex], it follows that the ket:
[tex]
\hat{a} \, \vert \nu \rangle
[/tex]
is also an eigenket of [itex]\hat{n}[/itex], corresponding to an eigenvalue [itex]\nu - 1[/itex]. By inductive reasoning, we conclude that [itex]\nu - n, \forall n \in \mathbb{N}[/itex] are also eigenvalues of the number operator.

So, let us suppose that [itex]N + 1 > \nu \ge N \ge 0, \ N \in \mathbb{N}[/itex]. This means that [itex] \nu - N - 1 < 0[/itex], which is not allowed (because all the eigenvalues are non-negative!). The only way out is if [itex]\left( \hat{a} \right)^{N + 1} \, \vert \nu \rangle = 0[/itex] (not the ground state [itex]\vert 0 \rangle[/itex], but the zero ket in the Hilbert space!). But, then apply [itex]\left( \hat{a}^\dagger \right)^{N + 1}[/itex] from the left, and use:
===================================================================================
[tex]
\hat{X}_m \equiv \left[ \hat{a}^\dagger, \hat{a}^m \right]
[/tex]
[tex]
\hat{X}_{m + 1} = \left[ \hat{a}^\dagger, \hat{a} \, \hat{a}^m \right] = \hat{a} \, \left[ \hat{a}^\dagger, \hat{a}^m \right] + \left[ \hat{a}^\dagger, \hat{a} \right] \, \hat{a}^m = \hat{a} \, \hat{X}_m - \hat{a}^m
[/tex]
[tex]
\hat{X}_0 = 0
[/tex]
[tex]
\hat{X}_1 = \hat{a} \, 0 - \hat{1} = -\hat{1}
[/tex]
[tex]
\hat{X}_2 = \hat{a} \, (-\hat{1}) - \hat{a} = -2 \, \hat{a}
[/tex]
...
Lemma:
[tex]
\boxed{\hat{X}_m = -m \, \hat{a}^{m - 1}, \ m \ge 1}
[/tex]
Proof:
[tex]
\hat{X}_{m + 1} = \hat{a} \, \left(-m \, \hat{a}^{m - 1} \right) - \hat{a}^{m} = -(m + 1) \, \hat{a}^{m}
[/tex]
By Principle of Mathematical Induction, Q.E.D.
===================================================================================

Then, we have:
[tex]
\begin{array}{lcl}
\left(\hat{a}^\dagger\right)^{N + 1} \, \hat{a}^{N + 1} \, \vert \nu \rangle & = & 0 \\

\left( \hat{a}^\dagger \right)^N \, \hat{a}^\dagger \, \hat{a}^{N + 1} \, \vert \nu \rangle & = & 0 \\

\left( \hat{a}^\dagger \right)^N \, \left( \hat{a}^{N + 1} \, \hat{a}^\dagger + X_{N + 1} \right) \, \vert \nu \rangle & = & 0 \\

\left[ \left( \hat{a}^\dagger \right)^N \, \hat{a}^{N} \, \hat{a} \, \hat{a}^\dagger - (N + 1) \, \left( \hat{a}^\dagger\right )^{N} \, \hat{a}^{N} \right] \, \vert \nu \rangle & = & 0 \\

\left[ \left( \hat{a}^\dagger \right)^N \, \hat{a}^{N} \left( \hat{n} + 1 \right) - (N + 1) \, \left( \hat{a}^\dagger \right)^N \, \hat{a}^{N} \right] \, \vert \nu \rangle & = & 0 \\

\left( \nu - N \right) \, \left( \hat{a}^\dagger \right)^N \, \hat{a}^{N} \, \vert \nu \rangle & = & 0 \\

\ldots & & \\

\left( \nu - N \right) \, \left( \nu - N + 1\right) \, \ldots \nu \, \vert \nu \rangle & = & 0
\end{array}
[/tex]
Now, from the initial assumption [itex]\vert \nu \rangle \neq 0[/itex] (not a trivial eigenket), and [itex]N \le \nu < N + 1[/itex], we conclude that [itex]\nu = N[/itex].

This means that the only eigenvalues of the number operator [itex]\hat{n} = \hat{a}^\dagger \, \hat{a}[/itex] are the non-negative integers. Q.E.D.
 
  • #6
LOL

I meant to leave the question open so that OP could answer it himself... oh well
 
  • #7
Dickfore said:
Q.E.D.
Thanks a lot!
 

1. What is the SHO Ladder Method?

The SHO Ladder Method is a technique used in quantum mechanics to determine the energy levels and states of a system, specifically for simple harmonic oscillators.

2. How does the SHO Ladder Method work?

The SHO Ladder Method involves calculating the energy levels of a simple harmonic oscillator by using ladder operators, which are mathematical operators that raise or lower the energy level of the system. These operators are applied to the ground state of the system to generate higher energy states.

3. What are missed states in the SHO Ladder Method?

Missed states in the SHO Ladder Method refer to energy levels that are not accounted for or accessible through the use of ladder operators. These are typically states with odd or non-integer energies.

4. Why are missed states important in the SHO Ladder Method?

Missed states are important because they can provide valuable information about the behavior of the system and can help to refine the calculations of energy levels. They also demonstrate the limitations of the SHO Ladder Method in accurately predicting all energy levels.

5. How can missed states be addressed in the SHO Ladder Method?

One way to address missed states in the SHO Ladder Method is to use alternate mathematical techniques, such as the path integral method, to calculate the energy levels of the system. Another approach is to modify the ladder operators to account for the missed states.

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