Raising and Lowering Indices of the Metric

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SUMMARY

The discussion centers on the evaluation of the expression g^{\mu \nu} g_{\nu \rho}, where the metric tensor g_{\mu \nu} is defined in the context of spacetime intervals ds^2 = c^2 dt^2 - dx^2 - dy^2 - dz^2. The result g^{\mu \nu} g_{\nu \rho} = g_\mu^\rho = \delta_\mu^\rho is established as an identity involving metric tensors, indicating that the upper index metric tensor is the inverse of the lower index tensor. The participants emphasize the importance of understanding the relationship between these tensors and the concept of raising and lowering indices, which is foundational in tensor calculus.

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Homework Statement



"Evaluate: g^{\mu \nu} g_{\nu \rho} where ds^2 = g_{\mu \nu} dx^\mu dx^\nu , ds^2 = c^2 dt^2 - dx^2 - dy^2 - dz^2"

Homework Equations



None necessary, just a notation issue

The Attempt at a Solution



Just using raising and lowering rules, I imagine each raising and lowering the others non-summed index or "contracting" the dummy index as I've heard it called.

g^{\mu \nu} g_{\nu \rho} = g_\mu^\rho

But that's a bit easy.

In matrix form, this new object g_\mu ^\rho is a four by four identity matrix when you take the product of the two matrices.

This leads to me to think that g^{\mu \nu} g_{\nu \rho} = g_\mu^\rho = \delta _\mu ^\rho is some intrinsic identity of this combination of metric tensors, and a quick google search does indeed reveal that to be the case.

What I'm really struggling with is that most sites present this as an obvious consequence of a matrix and its inverse. I can dig a matrix and it's inverse resulting in an identity, but I don't see how these matrices are inverses. Furthermore, this action produces a (1,1) tensor. Of course, given the manipulation rules, I see why it is a (1,1) but I don't see why me make the distinction for an identity matrix, or if it's just a matter of consistency.

If you could shed some insight on what's going as we raise and lower indices, I'd love to see why this result is so obvious to the authors of other literature on index notation.
 
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Shmi said:

Homework Statement



"Evaluate: g^{\mu \nu} g_{\nu \rho} where ds^2 = g_{\mu \nu} dx^\mu dx^\nu , ds^2 = c^2 dt^2 - dx^2 - dy^2 - dz^2"

Homework Equations



None necessary, just a notation issue

The Attempt at a Solution



Just using raising and lowering rules, I imagine each raising and lowering the others non-summed index or "contracting" the dummy index as I've heard it called.

g^{\mu \nu} g_{\nu \rho} = g_\mu^\rho

But that's a bit easy.

In matrix form, this new object g_\mu ^\rho is a four by four identity matrix when you take the product of the two matrices.

This leads to me to think that g^{\mu \nu} g_{\nu \rho} = g_\mu^\rho = \delta _\mu ^\rho is some intrinsic identity of this combination of metric tensors, and a quick google search does indeed reveal that to be the case.

What I'm really struggling with is that most sites present this as an obvious consequence of a matrix and its inverse. I can dig a matrix and it's inverse resulting in an identity, but I don't see how these matrices are inverses. Furthermore, this action produces a (1,1) tensor. Of course, given the manipulation rules, I see why it is a (1,1) but I don't see why me make the distinction for an identity matrix, or if it's just a matter of consistency.

If you could shed some insight on what's going as we raise and lower indices, I'd love to see why this result is so obvious to the authors of other literature on index notation.

The g with the upper indices is DEFINED to be the inverse of the g with lower indices. That's really all there is to it. For other tensors the raising and lowering goes through the metric tensor.
 
Last edited:
Another simple way of deriving your result is to make use of the coordinate basis vectors \vec{a_i} and the basis one forms \vec{a^j}. These are related by \vec{a_i}\centerdot \vec{a^j}=\delta_i^j. If we use this to express the coordinate basis vectors in terms of the basis one forms, we get:
\vec{a_i}=g_{ij}\vec{a^j} where

g_{ij}=\vec{a_i}\centerdot\vec{a_j}

If we now dot this equation with \vec{a^k}, we get:

\delta_i^k=g_{ij}g^{jk}

which is your desired relationship.
 

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