Covariant deriv of matrix valued field(srednicki)

In summary, Srednicki uses the adjoint representation to describe the gauge group SU(N) and works with a matrix valued field \Phi, leading to the inclusion of the commutator in the covariant derivative.
  • #1
LAHLH
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Hi

In ch84, Srednicki is considering the gauge group SU(N) with a real scalar field [itex]\Phi^a[/itex] in the adjoint rep. He then says it will prove more convienient to work with the matrix valued field [itex]\Phi=\Phi^a T^a [/itex] and says the covariant derivative of this is [itex] D_{\mu}\Phi=\partial_{\mu}\Phi-igA^a_{\mu}\left[T^a,\Phi\right][/itex]

Why is this covariant derivative not just [itex] D_{\mu}\Phi=\partial_{\mu}\Phi-igA^a_{\mu}T^a\Phi[/itex] ?

I understand [itex]\Phi [/itex] is a matrix and it does not commute with the generators, but I don't understand how this commutator is arising here in the second term of the covariant derivative? is it something to do with the adjoint rep?
 
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  • #2
The covariant derivative as written by Srednicki indeed contains the commutator because it is the adjoint representation of the SU(N) group. The adjoint representation has a matrix structure, and for a given generator T^a, the operation [T^a, \Phi] is the matrix multiplication of the generator with the scalar field, which gives a matrix result. Thus, the second term of the covariant derivative contains this matrix multiplication.
 

Related to Covariant deriv of matrix valued field(srednicki)

1. What is a covariant derivative of a matrix valued field?

A covariant derivative is a mathematical operation that measures how a quantity changes as it moves along a curved surface or in a curved space. In the case of a matrix valued field, it measures how the matrix changes as it moves along a curved surface or in a curved space.

2. How is the covariant derivative of a matrix valued field calculated?

The covariant derivative of a matrix valued field is calculated using the standard rules for taking derivatives, but with the addition of a connection term that accounts for the curvature of the space. This connection term is usually denoted by the symbol Γ and is defined in terms of the metric of the space.

3. What is the importance of covariant derivatives in physics?

Covariant derivatives are important in physics because they allow us to define the concept of parallel transport, which is essential in understanding how quantities change as they move along a curved space or surface. This is particularly important in general relativity, where the curvature of space-time plays a crucial role in the behavior of matter and energy.

4. What is the relationship between covariant derivatives and general relativity?

In general relativity, covariant derivatives are used to define the equations of motion for particles in a curved space-time. They are also used to define the Einstein field equations, which describe the curvature of space-time in terms of the distribution of matter and energy.

5. Are there any applications of covariant derivatives outside of physics?

Yes, covariant derivatives are used in various fields of mathematics, such as differential geometry, to study the properties of curved spaces and surfaces. They are also used in computer graphics to simulate the behavior of objects moving on curved surfaces.

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