Commutativity in the linear transformation space of a 2 dimensional Vector Space

In summary, the commutator of two 2x2 matrices is a multiple of the identity, which means that (C-D)^2 is commutative with all 2x2 matrices. This result does not hold for any other nxn matrices where n > 2 because the commutator will not necessarily have trace zero, and therefore the characteristic equation will not be of the form $\lambda^2 = \mathrm{const.}$
  • #1
quarkine
2
0
A variant of a problem from Halmos :
If AB=C and BA=D then explain why (C-D)^2 is commutative with all 2x2 matrices if A and B are 2x2 matrices.
This result does not hold for any other nxn matrices where n > 2. Explain why.

Edit: I tried to show that ((C-D)^2) E - E((C-D)^2) is identically zero. But that didn't work.
A guess is that since the above matrix commute with any 2x2, it has to be of the form bI (where b is a scalar anad I the indentity), which can be confirmed by brute calculation but I am searching for a better way.
 
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  • #2
Can you give your thoughts and/or show what you have tried so our helpers know exactly where you are stuck and how best to help?
 
  • #3
quarkine said:
If AB=C and BA=D then explain why (C-D)^2 is commutative with all 2x2 matrices if A and B are 2x2 matrices.
This is known as Hall's identity. The proof, in very brief outline, goes like this. The commutator $[A,B] = AB-BA$ has trace zero. Its characteristic equation is therefore of the form $\lambda^2 = \mathrm{const.}$ It then follows from the Cayley–Hamilton theorem that $[A,B]^2$ is a multiple of the identity.
 

FAQ: Commutativity in the linear transformation space of a 2 dimensional Vector Space

What is commutativity in the linear transformation space of a 2 dimensional vector space?

Commutativity in the linear transformation space refers to the property of a vector space where the order of operations does not affect the result. In a 2 dimensional vector space, this means that the order of transformations (such as rotations or reflections) does not change the final outcome.

Why is commutativity important in the study of vector spaces?

Commutativity is important because it allows us to simplify and streamline calculations in vector spaces. It also helps us to better understand the relationships and properties of vectors within a space.

How is commutativity demonstrated in a 2 dimensional vector space?

Commutativity can be demonstrated through various examples and proofs using transformations in a 2 dimensional vector space. For instance, showing that the order of rotations or reflections does not change the final position of a vector.

Are there any exceptions to commutativity in the linear transformation space of a 2 dimensional vector space?

Yes, there are exceptions to commutativity in certain cases where specific operations are used. For example, non-commutative operations like cross products do not follow the commutative property.

How does commutativity relate to other properties in vector spaces?

Commutativity is closely related to other properties in vector spaces such as associativity and distributivity. These properties work together to define and understand the behavior of operations within a space.

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