What is the trace of a second rank covariant tensor?

AI Thread Summary
The discussion centers on the trace of a second rank covariant tensor, specifically how to define it when the tensor is covariant in both indices. While the trace for a tensor like T^i_j is T^k_k, T_{ij} does not yield a straightforward trace since T_{kk} is not a tensor. The trace can be defined using a metric g, leading to T^{ij}g_{ij}, but its applicability depends on the context. The conversation also touches on a homework problem requiring the decomposition of a second rank covariant tensor into traceless symmetric, antisymmetric tensors, and the trace itself. The participants express concerns about the interpretation of tensors as matrices and the implications for linear operators.
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What is the trace of a second rank tensor covariant in both indices?
For a tensor covariant in one index and contravariant in another ##T^i_j##, the trace is ##T^k_k## but what is the trace for ##T_{ij}## because ##T_{kk}## is not even a tensor?
 
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Such a tensor is not readily interpreted as a linear operator on a single space, because if applied to a single (co)vector, it gives a result in the dual space of the input. There are various ways one could define something a bit like a trace, and call it a trace, for such a tensor. The definition would be an extension of the concept of a trace. The easiest way to do this is if there is a metric ##g## in the context of the question, in which case we could define the trace as ##T^{ij}g_{ij}##. But whether that gives the desired result depends on the reason why one wants to extend the trace definition.

Is there a specific context for the question, in which a trace is needed, or is it just exploratory musing?
 
andrewkirk said:
Is there a specific context for the question, in which a trace is needed, or is it just exploratory musing?
Basically it is related to a homework problem I have. I need to write an arbitrary second rank covariant tensor as a sum of traceless symmetric tensor, an antisymmetric tensor and the trace. I wrote it as ## [\frac{1}{2} (T_{ij} + T_{ji}) - \frac{1}{n} T \delta_{ij}] + [\frac{1}{n} T \delta_{ij}] + [\frac{1}{2} (T_{ij} - T_{ji})] ##
T is the trace.

But then I thought how would the trace be represented in index notation?

Also, am I right to say that I can't really write the T as ##g^{ij}T_{ij}## because ##T_{ij}## is an arbitrary tensor and I don't know whether a metric is defined for it?
 
That helps. It seems to me that the lecturer is thinking of the tensors as just matrices, because the expression ##\delta_{ij}## has no meaning in a coordinate-free context.
In a matrix context, your solution appears to be correct.
You could point out to your lecturer that a linear map from one space to a different one is not a linear operator, and does not have a trace. But I doubt it would endear you to her, so better not do that.
This looks like one of those not infrequent questions where the more alert students have more problems than others, because they spot problems in the question that the others don't.
Your last sentence is correct too.
 
andrewkirk said:
You could point out to your lecturer that a linear map from one space to a different one is not a linear operator, and does not have a trace. But I doubt it would endear you to her, so better not do that.
I think I will talk to him about this. He is not that kind of guy.
Anyways, thanks for the help.
 
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