Components of Riemann Tensor: 4 Indexes, 16x16 Matrix

In summary, the Riemann tensor has 4 indexes, and it should be matrix 16x16 in spacetime if we have time coirdinate - 0 and space coordinates -1,2,3. But how should I write the components to matrix? For example ##\begin{pmatrix}R^0_{000} & R^1_{000} & R^2_{000} ... \\ R^0_{100} & R^1_{100} & R^2_{100} ...\\ R^0_{200} & R^1_{200} ... \\ R^0_{300} ... \end{pmatrix}##?
  • #1
Z3kr0m
19
0
Hello, Riemann tensor ##R^i_{jkl}## 4 indexes, and it should be matrix 16x16 in spacetime if we have time coirdinate - 0 and space coordinates -1,2,3. But how should I write the components to matrix? For example ##\begin{pmatrix}R^0_{000} & R^1_{000} & R^2_{000} ... \\ R^0_{100} & R^1_{100} & R^2_{100} ...\\ R^0_{200} & R^1_{200} ... \\ R^0_{300} ... \end{pmatrix}##?
 
Physics news on Phys.org
  • #2
Z3kr0m said:
Hello, Riemann tensor ##R^i_{jkl}## 4 indexes, and it should be matrix 16x16 in spacetime if we have time coirdinate - 0 and space coordinates -1,2,3. But how should I write the components to matrix? For example ##\begin{pmatrix}R^0_{000} & R^1_{000} & R^2_{000} ... \\ R^0_{100} & R^1_{100} & R^2_{100} ...\\ R^0_{200} & R^1_{200} ... \\ R^0_{300} ... \end{pmatrix}##?
You can't. The two-dimensional matrix representation only works for rank-two tensors (those with only two indices). Even then you have to be alert to whether you are representing the components of the tensor with contravariant or covariant (upper or lower) indices - this information is lost in the matrix representation, so it's best to avoid it altogether.
 
  • #3
So I must write out the components one by one?
 
  • #4
Z3kr0m said:
So I must write out the components one by one?
Yes, but you have to do that whether you're arranging the values you're writing down in a matrix or not.
 
  • #5
Z3kr0m said:
Hello, Riemann tensor ##R^i_{jkl}## 4 indexes, and it should be matrix 16x16 in spacetime if we have time coirdinate - 0 and space coordinates -1,2,3. But how should I write the components to matrix? For example ##\begin{pmatrix}R^0_{000} & R^1_{000} & R^2_{000} ... \\ R^0_{100} & R^1_{100} & R^2_{100} ...\\ R^0_{200} & R^1_{200} ... \\ R^0_{300} ... \end{pmatrix}##?

It's not really a matrix, its a 4x4x4x4 tensor. But if you group the first two componetns together, and the last two, you can write the 256 element tensor as a 16x16 matrix.

I've only seen discussions (in MTW's "Gravitation") of ##R_{ijkl}## and NOT ##R^i{}_{jkl}## however. To take advantage of the skew symmetries ##R_{ijkl} = -R_{jikl} = -R_{ijlk}## https://en.wikipedia.org/wiki/Riemann_curvature_tensor#Symmetries_and_identities, I believe one needs the indices to be all lower, or all upper, not mixed. It is possible I am mistaken.

If one does consider the all-lower index ##R_{ijkl}##, the skew symmetries imply that ##R_{00**} = R_{11**} = R_{22**} = R_{33**} = 0##, i.e. any repeated index in the first pair must be zero. A similar argument leads to the same conclusion for repeated indices in the last pair. This lowers the Riemann to a 12x12 matrix by dropping the 4 zero diagional elelents, , and a further reduction to a 6x6 matrix by only specifying ##R_{ij**}## where i<j, as ##R_{ji**} = -R_{ij**}##.

The natural pair-groupings are (0,1), (0,2), (0,3) and their duals *(0,1) = (2,3), *(0,2) = (1,3), *(0,3)=(1,2) in a coordinate or orthonormal basis.

Using this approach, the 256 element tensor becomes a 6x6 symmetric matrix, where the symmetry comes from the "interchange symmetry", ##R_{ijkl} = R_{klij}##.

This can be further decomposed into three (in GR) 3x3 matrices Wiki calls this the Bel decomposition, https://en.wikipedia.org/wiki/Bel_decomposition, MTW does a similar decomposition but doesn't use this name to describe it.

Two of the 3x3 matrices from this decomposition are symmetric, the so-called electrogravitc and topogravitc tensors. This is a total of 21 degree of freedom, there is one additional constraint due to the Bianchi identity that reduces the degrees of freedom of the Riemann to 20.
 
  • Like
Likes PeterDonis

What is the Riemann Tensor and what does it represent?

The Riemann Tensor is a mathematical object used in the field of differential geometry to describe the curvature of a manifold. It represents the intrinsic curvature of a space, which is necessary for understanding the behavior of objects moving within that space.

What are the components of the Riemann Tensor?

The Riemann Tensor has four indices, which represent the dimensions of the space it is describing. These indices can take on values from 0 to 3, and each index corresponds to a specific direction in the space.

How is the Riemann Tensor represented?

The Riemann Tensor is represented as a 16x16 matrix, with each element of the matrix representing a specific component of the tensor. This matrix representation allows for easier calculation and manipulation of the tensor's components.

What does the Riemann Tensor tell us about a space?

The Riemann Tensor tells us about the curvature of a space and how that curvature changes in different directions. It provides information on the geometry of the space and is crucial for understanding the behavior of objects within that space.

Why is the Riemann Tensor important in physics?

The Riemann Tensor is important in physics because it is used in the theory of general relativity, which describes the behavior of gravity and the structure of the universe. It also has applications in other areas of physics, such as quantum field theory and string theory.

Similar threads

  • Special and General Relativity
Replies
1
Views
919
  • Special and General Relativity
Replies
1
Views
1K
Replies
14
Views
5K
  • Special and General Relativity
Replies
6
Views
3K
  • Special and General Relativity
Replies
1
Views
1K
  • Special and General Relativity
Replies
1
Views
1K
  • Special and General Relativity
Replies
19
Views
3K
Replies
2
Views
2K
  • Special and General Relativity
Replies
6
Views
3K
Replies
47
Views
5K
Back
Top