Pauli matrices and shared eigenvectors

In summary, The conversation discusses the concept of commuting matrices and their eigenspaces. It is noted that S2 commutes with Sz, and therefore they share their eigenspace. However, even though S2 also commutes with Sx, the eigenspace shared by S2 and Sz is different from the one shared by S2 and Sx. This is due to the non-transitivity of commutativity in matrices.
  • #1
Sunny Singh
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TL;DR Summary
For a spin 1/2 particle, why does Sx, Sy and Sz don't share the complete eigenspace even though all of them commute with S^2
We know that S2 commutes with Sz and so they share their eigenspace. Now since S2 also commutes with Sx, as per my understanding, the eigenvectors of S2 and Sz should also be the eigenvectors of Sx. But since the paulic matrices σx and σy are not diagonlized in the eigenbasis of S2, it is clear that S2 and Sx don't share their eigenspace even though they commute with each other. How is that possible? what am i missing?
 
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  • #2
To have common eigenspaces we need that all commute with each other. Every matrix commutes with ##I##, but that doesn't mean all matrices have the same eigenspace. And the ##S_{xyz}## do not commute.
 
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  • #3
Sunny Singh said:
We know that S2 commutes with Sz and so they share their eigenspace.

Yes.

Sunny Singh said:
since S2 also commutes with Sx, as per my understanding, the eigenvectors of S2 and Sz should also be the eigenvectors of Sx.

Your understanding is incorrect. S2 and Sx share an eigenspace, but it's a different eigenspace from the one shared by S2 and Sz. The two eigenspaces must be different because Sx does not commute with Sz.
 
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  • #4
To say it in another way, commutativity is not transitive. ##[A,B] = 0## and ##[B,C]=0## does not imply that ##[A,C]=0##.
 
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1. What are Pauli matrices?

Pauli matrices are a set of three 2x2 matrices named after physicist Wolfgang Pauli. They are denoted by σx, σy, and σz and are used to represent spin states in quantum mechanics.

2. What are shared eigenvectors?

Shared eigenvectors are vectors that are eigenvectors for multiple matrices. In other words, they are vectors that remain in the same direction when multiplied by different matrices. In the case of Pauli matrices, the eigenvectors are shared between σx and σy, and between σy and σz.

3. How are Pauli matrices and shared eigenvectors related?

Pauli matrices and shared eigenvectors are related because they are used together to represent spin states in quantum mechanics. The shared eigenvectors for σx and σy are used to represent spin up and spin down states, while the shared eigenvectors for σy and σz are used to represent right and left circular polarization.

4. What is the significance of shared eigenvectors in quantum mechanics?

Shared eigenvectors play a crucial role in quantum mechanics as they represent the possible states of a system. In the case of Pauli matrices, the shared eigenvectors represent the possible spin and polarization states of a particle. They also allow for the calculation of probabilities for different outcomes in quantum measurements.

5. Can shared eigenvectors be used for any type of matrix?

No, shared eigenvectors are only applicable to certain types of matrices, such as Hermitian matrices like Pauli matrices. In general, a matrix must be diagonalizable in order for it to have shared eigenvectors. This means that it can be expressed as a product of its eigenvectors and eigenvalues. Additionally, the shared eigenvectors must also be linearly independent.

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