2 equations, 2 unknowns: from hell

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Homework Help Overview

The discussion revolves around a system of equations derived from a quantum mechanics problem involving two unknowns, C1 and C2. The equations presented are linear in nature, and participants are exploring the implications of their relationships and potential solutions.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants are examining the linear dependence of the equations and questioning the validity of their manipulations. Some suggest substituting one variable into the other to explore potential solutions, while others express confusion over the results obtained, particularly regarding the implications of the equations being equivalent or dependent.

Discussion Status

There is an ongoing exploration of the relationships between the equations, with some participants suggesting that the system is linearly dependent. Others are questioning the assumptions made in the manipulations and the implications for the solutions of C1 and C2. A few participants have provided insights into the nature of the equations and their potential outcomes, but no consensus has been reached.

Contextual Notes

Participants note the potential relevance of eigenvalues and eigenvectors in the context of the problem, and there is mention of the determinant of the representative matrix being zero, which may affect the solutions. The discussion also reflects on the constraints of the problem as it relates to quantum mechanics.

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Homework Statement


This seemingly-innocuous system came up in a quantum mechanics problem:
[tex]\left. \begin{array}{l}<br /> (1 - \sqrt 2 ){C_1} + {C_2} = 0\\<br /> {C_1} - (1 + \sqrt 2 ){C_2} = 0<br /> \end{array} \right][/tex]

I want to find out what C1 and C2 are. Simple, right? Well...


Homework Equations


usual rules of linear algebra...


The Attempt at a Solution



[tex]\left. \begin{array}{l}<br /> (1 - \sqrt 2 ){C_1} + {C_2} = 0\\<br /> {C_1} - (1 + \sqrt 2 ){C_2} = 0<br /> \end{array} \right] \to \left. \begin{array}{l}<br /> (1 - \sqrt 2 ){C_1} + {C_2} = 0\\<br /> {\textstyle{1 \over {1 + \sqrt 2 }}}{C_1} - {C_2} = 0<br /> \end{array} \right] \to \left. \begin{array}{l}<br /> (1 - \sqrt 2 ){C_1} + {\textstyle{1 \over {1 + \sqrt 2 }}}{C_1} = 0\\<br /> {\textstyle{1 \over {1 + \sqrt 2 }}}{C_1} - {C_2} = 0<br /> \end{array} \right][/tex]

hmmm...looking at second equation if I substitute:

[tex]{\textstyle{1 \over {1 + \sqrt 2 }}}{C_1} = {C_2}[/tex]

...then i clearly get, in the first equation:

1 = 1


...which is the math blowing a raspberry at me. Perhaps the two equations are linearly-dependent? It doesn't seem so, but let's try finding "angle" between the two row-vectors that come from the coefficients of the equations:
[tex]{\cos ^{ - 1}}{\textstyle{{\left\langle {1 - \sqrt 2 ,1} \right\rangle \bullet \left\langle {1, - (1 + \sqrt 2 )} \right\rangle } \over {\left| {\left\langle {1 - \sqrt 2 ,1} \right\rangle } \right|\left| {\left\langle {1, - (1 + \sqrt 2 )} \right\rangle } \right|}}} = 112.5^\circ[/tex]

hmm...not orthogonal.

Why can't I get explicit values for C[1] and C[2] for this system? I don't THINK the system is linearly-dependent!

problem no longer of interest after: 09/24/10
 
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The first equation is [tex](1-\sqrt{2})C_1=C_2[/tex] and we plug in [tex]C_1=(1+\sqrt{2})C_2[/tex] to get [tex](1-\sqrt{2})(1+\sqrt{2})C_2=C_2[/tex] Either [tex]C_2=0[/tex] or we get [tex]1-2=0[/tex], not 1=1. I'm not sure what you did to get that., but you have an extra 1/(1+sqrt(2)) floating around at the end it seems

So there's only one solution, both C's are zero. This isn't surprising since you just have a matrix equation Ac=0 with A non-singular, so c has to be zero
 
Office_Shredder said:
The first equation is [tex](1-\sqrt{2})C_1=C_2[/tex] and we plug in [tex]C_1=(1+\sqrt{2})C_2[/tex] to get [tex](1-\sqrt{2})(1+\sqrt{2})C_2=C_2[/tex]

I'm afraid you dropped a negative sign in the last part. I get C2=C2. The two equations are the same after multiplying the first by 1+sqrt(2).
 
bjnartowt said:
I don't THINK the system is linearly-dependent!

problem no longer of interest after: 09/24/10

I agree.
 
The system is linearly dependent, which is what you want since you're solving for an eigenvector, I believe. If you multiply the first equation by [tex]-(1+\sqrt{2})[/tex], you get

[tex]-(1+\sqrt{2})(1-\sqrt{2})C_1 - (1+\sqrt{2})C_2 = 0[/tex]

which simplifies to

[tex]C_1-(1+\sqrt{2})C_2 = 0[/tex]
 
Surely it is not all that difficult! You have, really Ax+ y= 0, x- By= 0.

Multiply both sides ofthe first equation by B to get ABx+ By= 0 and add that to the second equation to eliminate y and leave (AB+ A)x= 0. If [itex]AB+ A\ne 0[/itex] then x= 0 is the only solution to that equation and then y= 0 so that (0, 0) is the unique solution.

If, however, AB+ A= 0 x can be anything and, in that case, from Ax+ y= 0, y= -Ax.

Here, [itex]A= 1+ \sqrt{2}[/itex] and [itex]B= 1- \sqrt{2}[/itex] so that [itex]AB= 1- 2= -1[/itex]. [itex]AB+ A= -1+ 1+ \sqrt{2}= \sqrt{2}\ne 0[/itex] so that x= 0, y= 0 is the unique solution.

If you are looking for "eigenvalues" and "eigenvectors" then something has gone wrong. What was the original eigenvalue problem?
 
HallsofIvy said:
Surely it is not all that difficult! You have, really Ax+ y= 0, x- By= 0.

Multiply both sides ofthe first equation by B to get ABx+ By= 0 and add that to the second equation to eliminate y and leave (AB+ A)x= 0. If [itex]AB+ A\ne 0[/itex] then x= 0 is the only solution to that equation and then y= 0 so that (0, 0) is the unique solution.

If, however, AB+ A= 0 x can be anything and, in that case, from Ax+ y= 0, y= -Ax.

Here, [itex]A= 1+ \sqrt{2}[/itex] and [itex]B= 1- \sqrt{2}[/itex] so that [itex]AB= 1- 2= -1[/itex]. [itex]AB+ A= -1+ 1+ \sqrt{2}= \sqrt{2}\ne 0[/itex] so that x= 0, y= 0 is the unique solution.

If you are looking for "eigenvalues" and "eigenvectors" then something has gone wrong. What was the original eigenvalue problem?
The second equation is x-By=0, so when you add the two equations, you're left with (AB+1)x=0, not (AB+A)x=0. Since AB=-1, (AB+1)=0 and x can be anything.
 
Oh, thanks guys! I was silly, and didn't notice that the determinant of the representative matrix was 0.

Well, since this is QM, the sum of the squared magnitudes of C1 and C2 must be unity, and it looks like I'm not without sufficient information after all : )
 

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