Why isn't commutation transitive?

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In summary: It is also possible that the additional operators are diagonalizable together, but that not every eigenvector of one is also automatically an eigenvector of the other one. In that case only certain linear combinations in degenerate subspaces are eigenvectors of both operators at the same time. This generally happens when you have a maximally commuting set of non-abelian point group symmetry generators.
  • #1
metroplex021
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I know this is really basic, but can anyone explain why commutation isn't transitive? (Eg in the case of invariance of the Hamiltonian under a non-abelian group, all the transformations of the group commute with H but don't all commute with each other.) I thought there was only one basis in which each operator was diagonalizable, hence one basis in which any pair of commuting operators was diagonalizable - so that *all* the operators that commute with an operator such as H should all commute with each other. Where have I gone wrong?!
 
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  • #2
I thought there was only one basis in which each operator was diagonalizable
Nope, and you've just given us a counterexample! A basis is uniquely determined by a "complete set of commuting observables". After you've diagonalized H, you've split the Hilbert space into its eigen-subspaces, but these may be further split by diagonalizing another operator, like Jz.
 
  • #3
Bill_K said:
Nope, and you've just given us a counterexample! A basis is uniquely determined by a "complete set of commuting observables". After you've diagonalized H, you've split the Hilbert space into its eigen-subspaces, but these may be further split by diagonalizing another operator, like Jz.

Thanks... so just to check, is it the case that if I take two operators that commute with H, then they can split the eigen-subspaces of H in two different ways - so that those two operators may not share a basis in which they are both diagonalizable?
 
  • #4
metroplex021 said:
Thanks... so just to check, is it the case that if I take two operators that commute with H, then they can split the eigen-subspaces of H in two different ways - so that those two operators may not share a basis in which they are both diagonalizable?

Yes, that is possible (that is the general case. Think of H and Sz vs H and Sx vs H and Sy).

It is also possible that the additional operators are diagonalizable together, but that not every eigenvector of one is also automatically an eigenvector of the other one. In that case only certain linear combinations in degenerate subspaces are eigenvectors of both operators at the same time. This generally happens when you have a maximally commuting set of non-abelian point group symmetry generators.
 
  • #5
Awesome. Thanks people!
 

FAQ: Why isn't commutation transitive?

Why is commutation not transitive?

Commutation, or the ability to switch the order of operations, is not transitive because it depends on the specific operations being performed. While some operations may be commutative, others are not and therefore cannot be switched in any order.

What is an example of an operation that is not commutative?

An example of a non-commutative operation is matrix multiplication. The order in which matrices are multiplied affects the outcome, making it not transitive. For example, A x B does not necessarily equal B x A.

How does commutativity affect the outcome of an operation?

Commutativity affects the outcome of an operation by changing the order in which the operations are performed. In some cases, this may result in a different outcome, while in other cases, the outcome may remain the same.

Can commutation be applied to all operations?

No, commutation cannot be applied to all operations. It depends on the properties of the operations being performed. Some operations, such as addition and multiplication, are typically commutative, while others, such as division and subtraction, are not.

Why is it important to understand the concept of commutation?

Understanding commutation is important in mathematics and science to accurately perform and analyze operations and equations. It also helps in identifying patterns and properties of different operations and their effects on the outcome.

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