Why are the entries in the matrix arranged the way they are?

In summary: So when we have a matrix [A] that corresponds to a vector in the space, we can either have it in a specific order or we can swap the two basis vectors.
  • #1
M. next
382
0
Heyy!

Please check the attachment and explain why are they arranged (the matrix entries) the way they are?
I mean, what is the rule for building up a matrix?
In other words, why did not we start with <-1/2, -1/2 l S^2 l -1/2, -1/2 > and placed it as being the first entry?

Thanks.
 

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  • #2
it is represented as
Sxx Sxy
Syx Syy
Sx will denote |++> and Sy as |+->
 
  • #3
I see thanks for your reply, but my question was why? What's the rule for matrix representation? Why isn't it
SyySyx
SxySxx
 
  • #4
For each linear transformation ##A:U\to V##, and each pair of ordered bases (one for U, one for V), there's a matrix [A] that corresponds to A in the following way: Let the number on row i, column j of [A] be ##(Au_j)_i##. Here ##u_j## is the jth member of the given ordered basis for U, and ##(Au_j)_i## is the ith component of the vector ##Au_j##, in the given ordered basis for V.

If you change the order of the basis vectors, you will also change the order of the rows or columns of the matrix. Suppose e.g. that you swap the 3rd and the 5th member of the ordered basis for U. This swaps the 3rd and the 5th column of [A].

If U=V, then it's convenient to choose the two ordered bases to be the same. Then we can talk about the matrix of A with respect to one ordered basis, instead of two. You seem to be dealing with a vector space that's spanned by the basis
$$\left\{\left|\frac 1 2,\frac 1 2\right\rangle,\left|\frac 1 2,-\frac 1 2\right\rangle\right\}.$$ Since there are exactly two ordered bases that consist of these two vectors, there are exactly two ways to arrange the rows and columns of the matrix. You can choose to use the other one, but then you have to make the corresponding change in the 2×1 matrices that represent members of the vector space.
 
Last edited:
  • #5
Oh, okay thanks!
 

FAQ: Why are the entries in the matrix arranged the way they are?

1. What is the purpose of using matrix representation in spin calculations?

The matrix representation of spin is used to mathematically describe the spin states of particles, such as electrons. This allows for the calculation of various properties, such as energy levels and transition probabilities.

2. How is the spin state of a particle represented in a matrix?

The spin state of a particle is represented by a column vector with two components, corresponding to the two possible spin states: +1/2 and -1/2. The matrix representation is then constructed using these column vectors.

3. What is the relationship between matrix representation and spin operators?

The matrix representation of spin is closely related to spin operators, which are mathematical operators that act on the spin state of a particle. The elements of the matrix correspond to the eigenvalues of the spin operators, and the eigenvectors of the matrix correspond to the spin states.

4. Can matrix representation be used for particles with higher spin values?

Yes, matrix representation can be used for particles with spin values greater than 1/2. In these cases, the matrix will have more than two columns, representing the different spin states of the particle.

5. How does matrix representation of spin relate to quantum mechanics?

Matrix representation of spin is an important concept in quantum mechanics, as it allows for the calculation of various quantum mechanical properties, such as spin angular momentum and spin magnetic moment. It also helps to explain and predict the behavior of particles at the subatomic level.

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