Subtraction of Christoffel symbol

In summary: I'm not sure if you are thanking me or the previous person for providing the proof. But yes, the proof is based on the inherent structure of tensors and their coordinate-free definitions.
  • #1
mertcan
344
6
hi, How do we prove the torsion tensor is a tensor using the subtraction of christoffel symbols?? I am aware of the fact that subtraction of christoffel symbols equals the torsion. How can we use this fact to prove the tensor?? Could you please give the proof or share the link which prove it??
 
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  • #2
use the law of transformation of the Christoffel symbols under the change of local coordinates
 
  • #3
Carroll shows this in great detail. If you write down the transformation of the difference between two connections, the inhomogeneous term drops out. This is because the inhomogeneous term is symmetric in the lower indices. As such this difference transforms as a tensor.

You're asking different questions, so maybe it's a good idea to tell us what your background and literature is. This should help if you have any further questions.
 
  • #4
mertcan said:
hi, How do we prove the torsion tensor is a tensor using the subtraction of christoffel symbols?? I am aware of the fact that subtraction of christoffel symbols equals the torsion. How can we use this fact to prove the tensor?? Could you please give the proof or share the link which prove it??

A general rule of thumb is that if you can define an operation without mentioning a particular coordinate system, then it is a coordinate-free definition, and linear operations with coordinate-free definitions are (almost?) always tensors. So a way to show that [itex]T[/itex] is a tensor is to show:
  1. There is a coordinate-free way to define [itex]T(U,V)[/itex]
  2. [itex]T(U,V)[/itex] is linear in both [itex]U[/itex] and [itex]V[/itex]
The coordinate-free definition of [itex]T(U,V)[/itex] is this:

[itex]T(U,V) = \nabla_U V - \nabla_V U - [U,V][/itex]

where [itex]\nabla_U[/itex] means the covariant derivative, or directional derivative along [itex]U[/itex], and where [itex][U,V][/itex] is the vector field defined by its action on a scalar field:

[itex]\nabla_{[U,V]} \phi \equiv \nabla_U (\nabla_V \phi) - \nabla_V (\nabla_U \phi) [/itex]

So [itex]T(U,V)[/itex] has a coordinate-free definition. Now, you have to show that it is linear in [itex]U[/itex] and [itex]V[/itex]. Since [itex]T(U,V) = -T(V,U)[/itex], it's enough to show that [itex]T(U,V)[/itex] is linear in [itex]U[/itex]. So let [itex]\bar{U} \equiv \phi U + W[/itex], where [itex]\phi[/itex] is a scalar field, and [itex]W[/itex] is a vector field. Then we need to show that [itex]T(\bar{U}, V) = \phi T(U,V) + T(W,V)[/itex]

[itex]T(\bar{U},V) = \nabla_{\bar{U}} V - \nabla_V \bar{U} - [\bar{U},V][/itex]

Using properties of covariant derivatives, we have:

[itex]\nabla_{(\phi U + W)} V = \phi \nabla_U V + \nabla_W V[/itex]
[itex]\nabla_V (\phi U + W) = (\nabla_V \phi) U + \phi (\nabla_V U) + \nabla_V W[/itex]
[itex][\phi U + W, V] = \phi [U,V] - (\nabla_V \phi) U + [W,V][/itex]

So we have:

[itex]T(\bar{U},V) = \phi \nabla_U V + \nabla_W V - (\nabla_V \phi) U - \phi (\nabla_V U) - \nabla_V W - \phi [U,V] + (\nabla_V \phi) U - [W,V][/itex]

The two occurrences of [itex]\nabla_V \phi[/itex] cancel out, giving:

[itex]T(\bar{U},V) = \phi \nabla_U V + \nabla_W V + \phi (\nabla_V U) - \nabla_V W - \phi [U,V] - [W,V][/itex]
[itex] = \phi (\nabla_U V - \nabla_V U - [U,V]) + \nabla_W V - \nabla_V W - [W,V][/itex]
[itex] = \phi T(U,V) + T(W,V)[/itex]
 
  • #5
stevendaryl said:
A general rule of thumb is that if you can define an operation without mentioning a particular coordinate system, then it is a coordinate-free definition, and linear operations with coordinate-free definitions are (almost?) always tensors. So a way to show that [itex]T[/itex] is a tensor is to show:
  1. There is a coordinate-free way to define [itex]T(U,V)[/itex]
  2. [itex]T(U,V)[/itex] is linear in both [itex]U[/itex] and [itex]V[/itex]
The coordinate-free definition of [itex]T(U,V)[/itex] is this:

[itex]T(U,V) = \nabla_U V - \nabla_V U - [U,V][/itex]

where [itex]\nabla_U[/itex] means the covariant derivative, or directional derivative along [itex]U[/itex], and where [itex][U,V][/itex] is the vector field defined by its action on a scalar field:

[itex]\nabla_{[U,V]} \phi \equiv \nabla_U (\nabla_V \phi) - \nabla_V (\nabla_U \phi) [/itex]

So [itex]T(U,V)[/itex] has a coordinate-free definition. Now, you have to show that it is linear in [itex]U[/itex] and [itex]V[/itex]. Since [itex]T(U,V) = -T(V,U)[/itex], it's enough to show that [itex]T(U,V)[/itex] is linear in [itex]U[/itex]. So let [itex]\bar{U} \equiv \phi U + W[/itex], where [itex]\phi[/itex] is a scalar field, and [itex]W[/itex] is a vector field. Then we need to show that [itex]T(\bar{U}, V) = \phi T(U,V) + T(W,V)[/itex]

[itex]T(\bar{U},V) = \nabla_{\bar{U}} V - \nabla_V \bar{U} - [\bar{U},V][/itex]

Using properties of covariant derivatives, we have:

[itex]\nabla_{(\phi U + W)} V = \phi \nabla_U V + \nabla_W V[/itex]
[itex]\nabla_V (\phi U + W) = (\nabla_V \phi) U + \phi (\nabla_V U) + \nabla_V W[/itex]
[itex][\phi U + W, V] = \phi [U,V] - (\nabla_V \phi) U + [W,V][/itex]

So we have:

[itex]T(\bar{U},V) = \phi \nabla_U V + \nabla_W V - (\nabla_V \phi) U - \phi (\nabla_V U) - \nabla_V W - \phi [U,V] + (\nabla_V \phi) U - [W,V][/itex]

The two occurrences of [itex]\nabla_V \phi[/itex] cancel out, giving:

[itex]T(\bar{U},V) = \phi \nabla_U V + \nabla_W V + \phi (\nabla_V U) - \nabla_V W - \phi [U,V] - [W,V][/itex]
[itex] = \phi (\nabla_U V - \nabla_V U - [U,V]) + \nabla_W V - \nabla_V W - [W,V][/itex]
[itex] = \phi T(U,V) + T(W,V)[/itex]
Thank you "stevendarly", I appreciate your endeavor. The things you have written down have remarkable and striking structure. They are based on a nice structure.
 
  • #6
mertcan said:
Thank you "stevendarly", I appreciate your endeavor. The things you have written down have remarkable and striking structure. They are based on a nice structure.

You are welcome.
 
  • #7
Hi, I would like to ask whether or not linear operations with coordinate-free definitions are always tensors, Because "stevendarly" said that linear operations with coordinate-free definitions were (almost?) always tensors. Is there a proof or derivation that just tensors are related to linear operations with coordinate-free definitions ?
 
  • #8
Guys, ?
 
  • #9
mertcan said:
Hi, I would like to ask whether or not linear operations with coordinate-free definitions are always tensors, Because "stevendarly" said that linear operations with coordinate-free definitions were (almost?) always tensors. Is there a proof or derivation that just tensors are related to linear operations with coordinate-free definitions ?

A tensor is just a multilinear function on vectors and covectors. So if you can prove that [itex]T(u,v)[/itex] is linear in both its arguments, then it follows that it is a tensor. The point about coordinate-free definitions is that such definitions reveal the functional dependency of the object in a way that the component definition can obscure. For a counter-example, the connection coefficients [itex]\Gamma^\mu_{\nu \lambda}[/itex] look like components of a tensor, but there is no coordinate-free way to write it as a function [itex]\Gamma(u,v)[/itex] that takes a pair of vectors and returns a vector. In contrast, the directional derivative [itex]\nabla_u v[/itex] does have a coordinate-free definition, but it isn't linear in the second argument ([itex]v[/itex]).
 
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1. What is the Subtraction of Christoffel symbol?

The Subtraction of Christoffel symbol is a mathematical operation used in differential geometry to calculate the curvature of a manifold. It is a way to measure how much a curve or surface deviates from being flat.

2. How is the Subtraction of Christoffel symbol calculated?

The Subtraction of Christoffel symbol is calculated by taking the difference between two Christoffel symbols, which are coefficients used in the calculation of the curvature of a manifold. This difference gives us information about the change in curvature along a particular direction or path on the manifold.

3. What is the significance of the Subtraction of Christoffel symbol?

The Subtraction of Christoffel symbol is important in understanding the geometry of curved spaces, such as those in general relativity. It allows us to quantify the curvature of a manifold and make predictions about the behavior of objects moving through these spaces.

4. How is the Subtraction of Christoffel symbol used in physics?

In physics, the Subtraction of Christoffel symbol is used in the field of general relativity to describe the curvature of space-time and how it affects the motion of objects. It is also used in other areas of physics, such as in the study of fluid dynamics and electromagnetism.

5. Are there any practical applications of the Subtraction of Christoffel symbol?

Yes, there are several practical applications of the Subtraction of Christoffel symbol. It is used in various fields of physics and engineering, such as in the design of spacecraft trajectories and in the analysis of fluid flow. It also has applications in computer graphics and robotics, where understanding the curvature of surfaces is important.

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