What Does Commutation Mean for Matrices A and B?

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In summary: Is my checking correct ##A \cdot A^{-1} \cdot B \cdot B^{-1} = I_A \cdot I_B = I##?Many thanks!Yes, but a bit short. The long version is:\begin{align*}(A\cdot B) \cdot (A\cdot B)^{-1}&=(A\cdot B) \cdot (B^{-1}\cdot A^{-1}) \\&= A \cdot (B \cdot (B^{-1}\cdot A^{-1}))\\&= A\
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Homework Statement
Please see below
Relevant Equations
Please see below
For this,
1682209044875.png

Dose someone pleas know where they get ##C = CI## from?

Also,
1682209425978.png

What dose it mean when A and B commute?

Many thanks!
 
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ChiralSuperfields said:
Homework Statement: Please see below
Relevant Equations: Please see below

For this,
View attachment 325350
Dose someone pleas know where they get ##C = CI## from?

Also,
View attachment 325351
What dose it mean when A and B commute?

Many thanks!
Commuting matrices means that ##A\cdot B = B\cdot A.## Most matrices do not commute. That means
$$
(A\cdot B)^{-1} =B^{-1} \cdot A^{-1} \neq A^{-1}\cdot B^{-1} = (B\cdot A)^{-1}
$$

Inversion and transposition, too, change the order. You can see this by checking ##(A\cdot B)\cdot (A\cdot B)^{-1} =I.##
 
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fresh_42 said:
Commuting matrices means that ##A\cdot B = B\cdot A.## Most matrices do not commute. That means
$$
(A\cdot B)^{-1} =B^{-1} \cdot A^{-1} \neq A^{-1}\cdot B^{-1} = (B\cdot A)^{-1}
$$

Inversion and transposition, too, change the order. You can see this by checking ##(A\cdot B)\cdot (A\cdot B)^{-1} =I.##
Thank you for your reply @fresh_42 !

Is my checking correct ##A \cdot A^{-1} \cdot B \cdot B^{-1} = I_A \cdot I_B = I##?

Many thanks!
 
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ChiralSuperfields said:
Thank you for your reply @fresh_42 !

Is my checking correct ##A \cdot A^{-1} \cdot B \cdot B^{-1} = I_A \cdot I_B = I##?

Many thanks!
Yes, but a bit short. The long version is:

\begin{align*}
(A\cdot B) \cdot (A\cdot B)^{-1}&=(A\cdot B) \cdot (B^{-1}\cdot A^{-1}) \\
&= A \cdot (B \cdot (B^{-1}\cdot A^{-1}))\\
&= A\cdot (( B\cdot B^{-1})\cdot A^{-1})\\
&= A\cdot (I\cdot A^{-1})\\
&= A \cdot A^{-1} \\
&= I
\end{align*}
This proves by using the associative law of multiplication that ##B^{-1}\cdot A^{-1}## is a inverse of ##(AB)^{-1}.##

I leave it to you to show that there cannot be more than one inverse, making ##B^{-1}\cdot A^{-1}## the inverse of ##(AB)^{-1}.## Same with the identity matrix. There can only be one so we do not need to distinguish between ##I_A## and ##I_B## or between left-identity ##I_L\cdot A=A## and right-identity ##A\cdot I_R=A.## Both are the same. This can also be proven.

These proofs are a bit like a puzzle playing around with the associative, possibly distributive law. A nice Sunday afternoon exercise. The trick is to proceed step by step and only use these laws plus the definitions, e.g. that ##I_L\cdot A=A## and ##A\cdot I_R=A.## Show that ##I_L=I_R\,!##
 
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FAQ: What Does Commutation Mean for Matrices A and B?

What does it mean for matrices A and B to commute?

For matrices A and B to commute, it means that the product of the two matrices is the same regardless of the order in which they are multiplied. Mathematically, this is expressed as AB = BA. If this equality holds, then A and B are said to commute.

Why is commutation important in linear algebra?

Commutation is important in linear algebra because it often indicates that the matrices share certain properties, such as having a common set of eigenvectors. This can simplify problems in various fields like quantum mechanics, where commuting operators correspond to simultaneously measurable quantities.

How can you check if two matrices commute?

To check if two matrices A and B commute, you need to compute the products AB and BA. If AB equals BA, then the matrices commute. Otherwise, they do not commute. This can be done manually for small matrices or using computational tools for larger matrices.

Do commuting matrices always have the same eigenvalues?

No, commuting matrices do not necessarily have the same eigenvalues. However, they do share a common set of eigenvectors if they are diagonalizable. This means that while their eigenvalues may differ, they can be simultaneously diagonalized if they commute.

Can non-square matrices commute?

No, the concept of commutation is defined only for square matrices. This is because the product of two non-square matrices is not generally defined in both orders. For two matrices A and B to commute, both AB and BA must be defined, which requires that A and B be square matrices of the same size.

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