Writing Components of a Metric Tensor

Click For Summary

Discussion Overview

The discussion revolves around the possibility of expressing the components of a metric tensor as a sum of functions of the coordinates. Participants explore the implications of this idea within the context of general relativity and the properties of metric tensors.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant proposes expressing the metric tensor components as a sum of functions of coordinates, questioning if this is feasible.
  • Another participant asserts that while a diagonal metric can satisfy this condition at a specific point, it does not hold universally across all coordinate systems or points.
  • A later reply challenges the necessity of a diagonal metric for the proposed condition to be satisfied, clarifying that it is not the only way to meet the requirement.
  • Further discussion includes a request for equations to demonstrate how a diagonal metric might satisfy the condition, followed by a retraction of that request, suggesting uncertainty about the validity of the diagonal metric satisfying the original condition.

Areas of Agreement / Disagreement

Participants express differing views on the applicability of diagonal metrics to the proposed condition, with some uncertainty about the generalizability of the initial proposal. No consensus is reached regarding the validity of the condition across all scenarios.

Contextual Notes

Participants note that the metric tensor is a symmetric tensor, which may limit the ways in which it can be expressed. The discussion highlights the complexity of tensor products and the relationship between different coordinate systems.

kent davidge
Messages
931
Reaction score
56
I wonder if it is possible to write the components of the metric tensor (or any other tensor) as a summ of functions of the coordinates? Like this:

g^{\mu\nu} = \sum_{\mu}^{D}\sum_{\nu}^{D}<br /> g_{_1}(x^{\mu})<br /> g_{_2}(x^{\nu})

where g1 and g2 are functions of one variable alone and D is the dimension of the Manifold. I hope you understand my poor English. Thanks in advance.

If no, then what would be a way of writing the components of a tensor? I don't like just gμν... It would be better if there were a deeper way of representing that.
 
Last edited:
Physics news on Phys.org
It is always possible, at least in GR, to find, for any given point P on the manifold, a coordinate system in which the metric is diagonal at P. That metric will trivially satisfy your requirement [EDIT: on reflection, I think that's wrong. A diagonal metric does not satisfy the condition], but only in that coordinate system, and only at that point.

Conversely, for any coordinate system in which your condition holds at a point P, there will be other coordinate systems and/or other points for which it does not hold - in fact probably most of them.

For your condition to be true for all points in all coordinate systems, it would have to be the case that the metric tensor is everywhere the tensor product of two vectors, that is
$$\mathbf g=\vec u\otimes\vec v=(u^\alpha\vec e_\alpha)\otimes(v^\beta\vec e_\beta)=u^\alpha v^\beta(\vec e_\alpha\otimes\vec e_\beta)=:u^\alpha v^\beta\mathbf e_{\alpha\beta}$$
The set of tensors that are tensor products of two vectors forms a generating set for the space of order 2 tensors. But they are only a small part of that space, which is formed from all linear combinations of tensor products. It might help to read this page explaining tensor products and how tensor spaces are constructed from them.

Metric tensors are a somewhat restricted subset of the set of all order 2 tensors, because they are required to be symmetric. But the class of symmetric tensors is much larger than the class of tensors that are tensor products of vectors.
 
Last edited:
Thanks andrewkirk for your detailed answer.

andrewkirk said:
It is always possible, at least in GR, to find, for any given point P on the manifold, a coordinate system in which the metric is diagonal at P. That metric will trivially satisfy your requirement
Why must the metric be diagonal at P to my condition be satisfied?
 
kent davidge said:
Why must the metric be diagonal at P to my condition be satisfied?
It doesn't have to. He's saying that if it is diagonal it will satisfy your condition, not that that's the only way of satisfying it.
 
  • Like
Likes   Reactions: kent davidge
Nugatory said:
It doesn't have to. He's saying that if it is diagonal it will satisfy your condition, not that that's the only way of satisfying it.
Thank you.
 
Nugatory said:
It doesn't have to. He's saying that if it is diagonal it will satisfy your condition, not that that's the only way of satisfying it.
Can you show me with equations why a diagonal metric will satisfy that condition?
 
kent davidge said:
Can you show me with equations why a diagonal metric will satisfy that condition?
Actually, on second thoughts, I don't think a diagonal metric does satisfy that condition. The rest of the post is correct though.
 

Similar threads

  • · Replies 9 ·
Replies
9
Views
743
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 16 ·
Replies
16
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 7 ·
Replies
7
Views
1K
  • · Replies 22 ·
Replies
22
Views
4K
  • · Replies 14 ·
Replies
14
Views
495
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K