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https://docs.google.com/open?id=0BxrBcN1-BZWUOXNxR1l4S0l2MjQ

http://www.2shared.com/complete/Qjy1_uzp/Quantum_Mechanics_in_Simple_Ma.html (I uploaded a pdf file that contains the parts of the textbook that I am having some difficulty understanding. Seven pages.) (two links point to the same pdf.)

A matrix $N$ has all entries except diagnoal ones zero, and first row, first column also zero, other diagonal entries depending on its column, row place; for example, second row, second column has one as its entry, third row, third column has two as its entry and so on.

It is known that $H = \hbar\omega (N + \frac{1}{2}) $.

The question is, my textbook says that if there are a continuous range of possible values, then for some states, $\langle (N - \langle N \rangle )^2 \rangle \leq [\frac{1}{2} (n - \langle N \rangle)]^2$ , where $n = 0,1,2,3,...,$ then progresses to say that since $\langle (N - \langle N \rangle )^2 \rangle \geq (n - \langle N \rangle)^2 (\langle I_0 \rangle + \langle I_1\rangle + ...)$ then $\langle (N - \langle N \rangle )^2 \rangle \geq (n - \langle N \rangle)^2$.

Then it says that this proves that there cannot be a continuous range of possible values, as $(0-\langle N \rangle)^2$, $(1 - \langle N \rangle)^2$ and so on cannot be smaller than $(n - \langle N \rangle)^2$.

I am not sure how one gets $\langle (N - \langle N \rangle )^2 \rangle \geq (n - \langle N \rangle)^2 (\langle I_0 \rangle + \langle I_1\rangle + ...)$. Can anyone show me the proof?

Also, how does one get the part - $(0-\langle N \rangle)^2$, $(1 - \langle N \rangle)^2$ and so on cannot be smaller than $(n - \langle N \rangle)^2$?

War
  • 637

2 Answers2

3

The likely interpretation:

we assume there is a continuous range of possible values, then we are able to measure it so that we get some particular value of $\langle N \rangle$ and particular uncertainty, but still then $N$ is not exactly determined. In this context, for some states, $\langle (N - \langle N \rangle^2 \rangle \leq [\frac{1}{2}(n-\langle N \rangle)]^2$, where the left part is uncertainty. And I think the aforementioned part is where you got confused. The next part will come as obvious.

Metoo
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1

I) It seems that the question(v4) is essentially

Prove the that the point spectrum of the infinite-dimensional matrix $$ N~:= \left(\begin{array}{ccccc} 0 & 0 & 0 & 0 & \ldots \\ 0 & 1 & 0 & 0 & \\ 0 & 0 & 2 & 0 & \\ 0 & 0 & 0 & 3 & \\ \vdots & & & & \ddots\\ \end{array}\right) $$ is the non-negative numbers $${\rm Spec}_{\rm pt}(N)~=~ \mathbb{N}_0~:=~\{0,1,2,3,\ldots\}.$$

II) Now the (linear) operator $N$ is an unbounded operator, so let us for simplicity (in order to avoid various technical issues related to unbounded operators) instead ask

Prove the that the point spectrum of the bounded operator $$ e^{-N}~:= \left(\begin{array}{ccccc} e^0 & 0 & 0 & 0 & \ldots \\ 0 & e^{-1} & 0 & 0 & \\ 0 & 0 & e^{-2} & 0 & \\ 0 & 0 & 0 & e^{-3} & \\ \vdots & & & & \ddots\\ \end{array}\right) $$ is the numbers $${\rm Spec}_{\rm pt}(e^{-N})~=~\{e^{-n}\mid n \in\mathbb{N}_0 \} ~=~\{e^{0},e^{-1},e^{-2},e^{-3},\ldots\}.$$

III) Or more generally

If a bounded operator $A$ is diagonal in an orthonormal basis $(|i\rangle)_{i\in I}$ for a Hilbert space $$H~=~{\rm span}\{|i\rangle | i\in I\}$$ with eigenvalues $\lambda_i\in \mathbb{C}$, show that the point spectrum is $$ {\rm Spec}_{\rm pt}(A)~=~ \{ \lambda_i | i\in I\}~\in \mathbb{C}. $$

This is almost a triviality. A sketched proof could be as follows:

  1. Since $A$ is a normal operator, the eigenspaces for different eigenvalues are pairwise orthogonal $$ \forall i,j\in I:~~\lambda_i~\neq~\lambda_j\qquad \Rightarrow \qquad {\rm ker}(A-\lambda_i{\bf 1}) ~\perp~ {\rm ker}(A-\lambda_j{\bf 1}).$$

  2. Since $A$ is diagonal, the eigenspaces corresponding to the diagonal elements $\{ \lambda_i | i\in I\}$ span the full Hilbert space $$H~=~\oplus_{i\in I} {\rm ker}(A-\lambda_i{\bf 1}). $$

  3. Hence there are no room for eigenvalues $\lambda$ that are not diagonal elements $\{ \lambda_i | i\in I\}$, $${\rm ker}(A-\lambda{\bf 1}) ~\subseteq~ H^{\perp}~=~ \{0\}. $$

Qmechanic
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