Does the Chain Rule Apply to Gauge Transformations in Lie Groups?

In summary, the conversation discusses the use of the chain rule in the context of Lie groups and gauge transformations. The question is whether it makes sense to separately differentiate a matrix and a vector. The conversation concludes that it does make sense and provides a convincing explanation based on looking at it from a component point of view.
  • #1
vertices
62
0
Again, I'm not sure whether this is the best place to post this question but its to do with gauge transformations, etc.

The question itself is rather stupid...

If we have a matrix U(g) (a Lie Group) and a vector φ in C (which is a scalar in spacetime) - does it make sense to use the chain rule thus:

[tex]{\partial}_\mu (U(g) \phi) = U(g){\partial}_\mu \phi + ({\partial}_\mu U(g)) \phi[/tex]

We are separately differentiating a matrix and vector - this seems very odd to me.
 
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  • #2
vertices said:
Again, I'm not sure whether this is the best place to post this question but its to do with gauge transformations, etc.

The question itself is rather stupid...

If we have a matrix U(g) (a Lie Group) and a vector φ in C (which is a scalar in spacetime) - does it make sense to use the chain rule thus:

[tex]{\partial}_\mu (U(g) \phi) = U(g){\partial}_\mu \phi + ({\partial}_\mu U(g)) \phi[/tex]

We are separately differentiating a matrix and vector - this seems very odd to me.

Look at it from a component point of view. The i'th component of the vector [itex]\phi' = U(g)\phi[/itex] is

[tex]\phi'_{i} = \sum_j U(g)_{ij}\phi_j[/itex]

This is simply a sum of differentiable stuff. So differentiating gives

[tex]{\partial}_\mu \phi'_{i} = {\partial}_\mu\left(\sum_j U(g)_{ij}\phi_j\right) = \sum_j \left({\partial}_\mu U(g)_{ij}\right)\phi_j + \sum_j U(g)_{ij}\left({\partial}_\mu\phi_j\right)[/itex]

Now you can identify the first term with [itex]({\partial}_\mu U(g)) \phi[/itex] and the second with [itex]U(g){\partial}_\mu \phi[/itex]
 
  • #3
That makes sense, and doesn't seem stupid to me.
 
  • #4
xepma said:
Look at it from a component point of view. The i'th component of the vector [itex]\phi' = U(g)\phi[/itex] is

[tex]\phi'_{i} = \sum_j U(g)_{ij}\phi_j[/itex]

This is simply a sum of differentiable stuff. So differentiating gives

[tex]{\partial}_\mu \phi'_{i} = {\partial}_\mu\left(\sum_j U(g)_{ij}\phi_j\right) = \sum_j \left({\partial}_\mu U(g)_{ij}\right)\phi_j + \sum_j U(g)_{ij}\left({\partial}_\mu\phi_j\right)[/itex]

Now you can identify the first term with [itex]({\partial}_\mu U(g)) \phi[/itex] and the second with [itex]U(g){\partial}_\mu \phi[/itex]

thanks xempa - convincing explanation:)
 

FAQ: Does the Chain Rule Apply to Gauge Transformations in Lie Groups?

What is a vector?

A vector is a mathematical object that has both magnitude (size) and direction. It can be represented by an arrow with a specified length and direction.

How do you differentiate a vector?

To differentiate a vector, you take the derivative of each component of the vector separately. This means finding the rate of change of each component with respect to the variable of interest.

What is the purpose of differentiating a vector?

Differentiating a vector allows us to analyze how the vector changes over time or in different situations. It helps us understand the direction and rate of change of the vector, which can be useful in many fields such as physics, engineering, and economics.

Can a vector be differentiated with respect to more than one variable?

Yes, a vector can be differentiated with respect to multiple variables. This is known as a partial derivative, where you find the rate of change of the vector with respect to one variable while holding all other variables constant.

Are there any rules for differentiating vectors?

Yes, there are rules for differentiating vectors, such as the product rule, quotient rule, and chain rule. These rules are similar to those used for differentiating functions, but they apply to each component of the vector separately.

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