Problem with vectors and matrices.

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Homework Help Overview

The discussion revolves around calculating powers of the expression ##(\vec a \cdot \vec \sigma)##, where ##\vec a## is a 3D vector and ##\vec \sigma## consists of 2x2 matrices representing quantum mechanical operators. Participants are exploring the implications of this notation and the mathematical operations involved.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Some participants attempt to interpret the notation and express confusion about forming a 3D vector from 2x2 matrices. Others question the validity of their approaches and seek clarification on the mathematical operations involved.

Discussion Status

Participants are actively engaging with the problem, with some providing insights into the nature of the operators and the mathematical context. There is a recognition of the need for further clarification on how to handle the notation and the operations involved.

Contextual Notes

There is uncertainty regarding the interpretation of the term "vectors" in the problem statement, with suggestions that it may be more appropriate to refer to "matrices." Participants are also considering the implications of using matrix representations in quantum mechanics.

Dewgale
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Homework Statement


Calculate ##(\vec a \cdot \vec \sigma)^2##, ##(\vec a \cdot \vec \sigma)^3##, and ##(\vec a \cdot \vec \sigma)^4##, where ##\vec a## is a 3D-vector and ##\vec \sigma## is a 3D-vector formed from the ##\sigma_i## vectors.

Homework Equations


$$\sigma_1 = \begin{bmatrix}
0 & 1\\
1 & 0
\end{bmatrix}$$
$$\sigma_2 = \begin{bmatrix}
0 & -i\\
i & 0
\end{bmatrix}$$
$$\sigma_3 = \begin{bmatrix}
1 & 0\\
0 & -1
\end{bmatrix}$$

The Attempt at a Solution


This makes very little sense to me, since there are no ##\sigma_i## vectors, just matrices. My main thought was to take the determinant of each matrix and set it as a component, such that
$$\vec \sigma_i = <-1,-1,-1>$$

Then ##\vec a \cdot \vec \sigma_i## is ##-(a_1 + a_2 + a_3)##.
##(\vec a \cdot \vec \sigma_i)^2## is ##(a_1 + a_2 + a_3)^2##,
##(\vec a \cdot \vec \sigma_i)^3## is ##-(a_1 + a_2 + a_3)^3## and
##(\vec a \cdot \vec \sigma_i)^4## is ##(a_1 + a_2 + a_3)^4##.

I have no idea, however, whether this is the right approach. Some guidance on this would be nice, thank you!
 
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A notation like ##\mathbf{a}\cdot\mathbf{\sigma}## is just a way of saying ##a_1\sigma_1 + a_2\sigma_2 + a_3\sigma_3##. ##\mathbf{a}## is known to be a 3D vector, therefore its components are just numbers.
 
blue_leaf77 said:
A notation like ##\mathbf{a}\cdot\mathbf{\sigma}## is just a way of saying ##a_1\sigma_1 + a_2\sigma_2 + a_3\sigma_3##. ##\mathbf{a}## is known to be a 3D vector, therefore its components are just numbers.

Yes, I know that. Thank you though. I'm confused though as to how to form a 3D vector from three 2x2 matrices. Is there a prescribed method or do I just need to do something along the lines of what I did?
 
The sigma vector ##\mathbf{\sigma}## is just one example of vector operators, another example would be the orbital angular momentum operator ##\mathbf{L}##. Operators in quantum mechanics (as well as in linear algebra in general) need not always be represented by a matrix. The matrix representation is especially helpful when you are working in the basis formed by the eigenstates of the operator being represented as a matrix. If, on the other hand, you are given a problem in which you have to operate ##L_z## on ##Y_{lm}(\theta,\phi)## (##|l,m\rangle## in position basis), you will then resort to the position form of ##L_z##, which is equal to ##-i\hbar\frac{\partial}{\partial\phi}##, instead of its matrix form.
Dewgale said:
I'm confused though as to how to form a 3D vector from three 2x2 matrices.
Especially for spin operators, there is no position representation for them. Therefore, the most commonly used representation for these operators are the matrix form.
 
I think what's throwing you is the last word in the problem statement. If you change it from 'vectors' to 'matrices' does it make sense for you?
##a_i\sigma_i## is just a scalar multiplied by a 2x2 matrix, giving another 2x2 matrix. The dot product ##\vec a.\vec \sigma## is a sum of these, so is another 2x2 matrix. This can be raised to integer powers.
 

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