Finding eigenvector QM 2x2 matrix

In summary: I really appreciate it.In summary, the conversation discusses a question about normalizing energy states in a lecture, with the poster providing their solution and the lecture's solution. They also mention confusion about the use of the ratio method. After some corrections, the poster arrives at the correct answer for the question.
  • #1
Taylor_1989
402
14

Homework Statement


I am having a issue with how my lecture has normalised the energy state in this question.
I will post my working and I will print screen his solution to the given question below, we have the same answer but I am unsure to why he has used the ratio method.
Q4. a), b), c)
upload_2017-12-18_22-55-48.png

Homework Equations

The Attempt at a Solution


My solution for a), b), c)

a)
$$\hat H|E> = E|E> ;[1]$$

$$\hat H|E> - E|E>=0 ;[2]$$

$$\hat H|E> - IE|E>=0; [3]$$

$$(\hat H-IE)=0 ;[4]$$

$$\begin{pmatrix}0&-\Omega \\ \:-\Omega &\frac{2\Omega }{\sqrt{3}}\end{pmatrix}-E\begin{pmatrix}1&0\\ \:0&1\end{pmatrix}=0 ;[5] $$

So expanding out and finding the determinate of the following matrix

$$\begin{pmatrix}-E&-\Omega \\ \:-\Omega &\frac{2\Omega }{\sqrt{3}}-E\end{pmatrix}=0 ; [6]$$

$$\begin{pmatrix}-E&-\Omega \\ \:-\Omega &\frac{2\Omega }{\sqrt{3}}-E\end{pmatrix}= E^2-\frac{2E\Omega }{\sqrt{3}}-\Omega ^2=0 ;[7]$$

$$\left(E-\frac{3\Omega }{\sqrt{3}}\right)\left(E+\frac{\Omega }{\sqrt{3}}\right)=0 [8]$$

So solving gives me the following for ##E_{-}## and ##E_{+}##

$$E_{-}=\frac{3\Omega }{\sqrt{3}} ; [9]$$

$$E_{+}=-\frac{\Omega }{\sqrt{3}} ; [10]$$

b) I solved the eignvector for ground state in the following way

$$\begin{pmatrix}0&-\Omega \\ -\Omega &\frac{2\Omega }{\sqrt{3}}\end{pmatrix}\begin{pmatrix}A\\ B\end{pmatrix}=-\frac{\Omega }{\sqrt{3}}\begin{pmatrix}A\\ B\end{pmatrix} ; [11] $$

$$-\Omega B= -\frac{\Omega }{\sqrt{3}}A ; [12]$$

$$-\Omega A=-\frac{3}{\sqrt{3}}B ; [13]$$

So solving for both of these give ##A=\sqrt 3## so therfore:

$$E_{-}= |0> + \sqrt 3 |1> ; [14]$$

To normalize [14] I found the normalizing constant in the following way:

$$< E_{-} | E_{-} > = 1+3=4 ; [15]$$

$$N^2 < E_{-} | E_{-} > = 1 ; [16]$$

$$N^2=\frac{1}{4}; [17]$$

$$N= \frac{1}{2}; [18]$$

$$|E_{-}> = \frac{1}{2} |0> + \frac{\sqrt 3}{2} | 1 > ; [19]$$

c) $$P(1)=\left(\frac{\sqrt{3}}{2}\right)^2=\frac{3}{4}=75\% [20]$$

Here is my lecture solution:
a)
upload_2017-12-18_23-34-17.png


b)
upload_2017-12-18_23-35-6.png
last part of b) and all of c)
upload_2017-12-18_23-35-45.png


I just don't understand the ratio method, it is a quicker method than mine or is it used more in more difficult matrices
 

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  • #2
Taylor_1989 said:
b) I solved the eignvector for ground state in the following way

$$\begin{pmatrix}0&-\Omega \\ -\Omega &\frac{2\Omega }{\sqrt{3}}\end{pmatrix}\begin{pmatrix}A\\ B\end{pmatrix}=-\frac{\Omega }{\sqrt{3}}\begin{pmatrix}A\\ B\end{pmatrix} ; [11] $$

$$-\Omega B= -\frac{\Omega }{\sqrt{3}}A ; [12]$$

$$-\Omega A=-\frac{3}{\sqrt{3}}B ; [13]$$

So solving for both of these give ##A=\sqrt 3##
Check your work here. You cannot deduce that ##A=\sqrt 3## from equations [12] and [13]. These equations determine only the ratio of A to B.

So solving for both of these give ##A=\sqrt 3## so therfore:

$$E_{-}= |0> + \sqrt 3 |1> ; [14]$$
It looks like you let ##A = 1## here; whereas, you claimed ##A = \sqrt 3##.

In the lecture's solution you find
upload_2017-12-18_18-26-46.png


Check this. The last equation for ##\frac{A}{B}## does not look correct.
 

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  • #3
Sorry, that was a typo. It is meant to be ##A=\sqrt 3 B## so then I throught that as the simplest number for A would be 1 then B would be ##\sqrt 3## time that, so then I got the column vector: ##\begin{pmatrix}1\\ \sqrt{3}\end{pmatrix}##. Which the gave me ##E_{-} = |0> + \sqrt 3 | 1 >## and then I normalised
 
  • #4
Taylor_1989 said:
It is meant to be ##A=\sqrt 3 B## so then I throught that as the simplest number for A would be 1 then B would be ##\sqrt 3## time that, so then I got the column vector: ##\begin{pmatrix}1\\ \sqrt{3}\end{pmatrix}##.
If you substitute ##A=1## in the relation ##A=\sqrt 3 B##, what do you get for ##B##?
 
  • #5
Sorry, i will correct this and hopefully will have the correct ans this time. ##E_-=\begin{pmatrix}1\\ \frac{1}{\sqrt{3}}\end{pmatrix}## so then once I have normalized I get the following, ##|E_->=\frac{\sqrt{3}}{2}|0>+\frac{1}{2}|1>## So then my ans for c) would be ##25 ##%. Hopefully this is now correct?
 
  • #6
Taylor_1989 said:
##E_-=\begin{pmatrix}1\\ \frac{1}{\sqrt{3}}\end{pmatrix}## so then once I have normalized I get the following, ##|E_->=\frac{\sqrt{3}}{2}|0>+\frac{1}{2}|1>## So then my ans for c) would be ##25 ##%. Hopefully this is now correct?
Yes, that looks correct.
 
  • #7
Ah thank you very much for the help
 

1. What is an eigenvector in Quantum Mechanics?

An eigenvector in Quantum Mechanics is a vector that is associated with a particular linear transformation and represents a direction in which the transformation has a simple effect. In other words, when the transformation is applied to an eigenvector, the vector only changes in magnitude, not in direction.

2. How do you find an eigenvector of a 2x2 matrix?

To find an eigenvector of a 2x2 matrix, you will need to first find the eigenvalues of the matrix. This can be done by solving the characteristic equation of the matrix. Once you have the eigenvalues, you can then use them to find the corresponding eigenvectors by solving the system of linear equations formed by setting the eigenvalue equal to the matrix multiplied by the eigenvector.

3. What is the importance of eigenvectors in Quantum Mechanics?

Eigenvectors are important in Quantum Mechanics because they represent the states of a quantum system that have definite values for certain physical properties. This allows for the prediction of the behavior of a quantum system, as well as the calculation of probabilities of different outcomes of measurements.

4. Can a 2x2 matrix have more than two eigenvectors?

Yes, a 2x2 matrix can have more than two eigenvectors. In fact, a 2x2 matrix can have up to two linearly independent eigenvectors for each eigenvalue. This means that a 2x2 matrix can have a maximum of four eigenvectors.

5. How do you determine the eigenvectors of a non-square matrix in Quantum Mechanics?

To determine the eigenvectors of a non-square matrix in Quantum Mechanics, you will need to first convert the matrix into a square matrix by adding rows or columns of zeros. Then, you can follow the same steps as finding eigenvectors for a square matrix, such as finding the eigenvalues and solving the system of linear equations to find the corresponding eigenvectors.

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