Raising/lowering using the metric tensor

In summary, Dick is trying to figure out why gcdTcd=tr T and he is getting confused because of the index balance.
  • #1
trv
73
0

Homework Statement


Given a N-dimensional manifold, let gab, be a metric tensor.
Compute
(i) gabgbc
(ii)gabgab

Also, just need a clarification on something similar.
gcdTcd=gcdTdc=tr T?
I'm pretty sure its yes. Probably even a stupid question but a clarification would be useful.

Homework Equations




The Attempt at a Solution



(i)tr g ?
(ii)Here I'm caught between tr g, since I'm thinking its still the tensor and its inverse, and the indices don't matter.

The other option is gac.

Which is correct?
 
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  • #2
Because g is symmetric,

By symmetry of g: gcdTcd = gdcTcd
By renaming summed indices twice: gdcTcd = gzpTpz = gcdTdc

(I only used p and z to make things overly clear. You could do the renaming one step, and would normally do so)
 
  • #3
thanks. Any thoughts on the other bits?

i.e. gabgbc
gabgab?
 
  • #4
g_ab*g^bc=delta_a^c, right? The g with upper indices is defined as the inverse of the one with lower indices.
 
  • #5
Checked notes...yes it is.
 
  • #6
g_{ab}g^{ab} = g_{ab}g^{ba} = delta_a^a = tr delta = N.

also, I don't see why g^{cd}T_{cd} would be tr T-- what does the metric have to do with the trace of a tensor?
 
  • #7
Good point.

It should simply be

gcdTdc=Tdc

right.

I actually needed these for another problem. And, it was much easier if gcdTdc=tr T :p. Guess I'll have to have a look at it again.
 
  • #8
trv said:
Good point.

It should simply be

gcdTdc=Tdc

right.

I actually needed these for another problem. And, it was much easier if gcdTdc=tr T :p. Guess I'll have to have a look at it again.

The metric has a lot to do with the trace of a tensor. You are right the second time. g^cd*T_dc is tr(T). You are forgetting the index balance again. In the first form the left side has no free indices and the right side has two. How can that be??
 
  • #9
Dick said:
The metric has a lot to do with the trace of a tensor. You are right the second time. g^cd*T_dc is tr(T). You are forgetting the index balance again. In the first form the left side has no free indices and the right side has two. How can that be??

Ah...ok, sorry for the wrong advice-- I think I see why I was wrong. You can't really get the trace of a (2,0) tensor directly so tr T is the trace of the corresponding (1,1) tensor, so the computation is like g^{cd} T_{dc} = g^{cd} g_{ac} T_d^a = delta_a^d T_d^a = T_d^d = tr T, right?
 
  • #10
Well, I would say g_cd*T^cd=tr(T) is pretty direct, but yes, what you say is also correct.
 
  • #11
thanks for the clarification Dick. And interesting way of looking at what's happening eok.
 

FAQ: Raising/lowering using the metric tensor

What is the metric tensor?

The metric tensor is a mathematical object that describes the geometric properties of a curved space. It is used to measure distances and angles in a space and is essential in the study of general relativity.

How is the metric tensor used in raising and lowering indices?

The metric tensor is used to raise and lower indices in order to convert between coordinate-dependent and coordinate-independent quantities. This is important in calculations involving tensors, as it allows for a comparison of quantities at different points in space.

What is the significance of raising and lowering indices using the metric tensor?

Raising and lowering indices using the metric tensor is significant because it allows for the calculation of covariant and contravariant components of tensors. This is important in understanding the behavior of physical quantities in a curved space.

How can the metric tensor be used to calculate the length of a curve in a curved space?

The metric tensor can be used to calculate the length of a curve in a curved space by defining the length element ds using the metric tensor. This allows for the calculation of the distance between two points along a curved path, taking into account the curvature of space.

Can the metric tensor be used in other areas of physics?

Yes, the metric tensor has applications in many areas of physics, including general relativity, electromagnetism, and quantum field theory. It is a fundamental concept in the study of curved spaces and is essential in understanding the behavior of physical quantities in these spaces.

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