Manipulation of tensor indices

In summary, when manipulating tensor indices, it is best to stick to a consistent ordering for all indices and to keep in mind the flexibility of index notation in terms of mixing up the order of indices. Dummy indices can also be easily incorporated into tensor products, and the placement of a metric tensor when raising or lowering indices does not affect the overall result.
  • #1
Andy_X
2
0
I would welcome advice on the practical issues of manipulating tensor indices, in particular how to determine the order of indices during calculations. Some of the following questions are probably simplistic but I have been unable so far to find a consistent answer.
1) Some texts use a unique order for the complete set of indices on a tensor, leaving spaces in the subscript list where superscripts appear and vice versa. Others have superscripts and subscripts above one another. What is the difference and when is it important to have an ordering for the combined set?
2) How is the order of indices determined for a tensor product? E.g. if W=ST are the indices of W formed from the indices of S followed by the indices of T and is this also the case for mixed tensors?
3) How is the answer to 2) affected if the product of two tensors also involves a dummy index? i.e. does the dummy index just disappear from the combined list of subscripts and superscripts?
4) in raising (or lowering) indices using a metric tensor (or the inverse metric) some texts always put the metric to the left of the tensor being changed (and the inverse to the right) while other texts don’t make this distinction. Which is correct? Also where does the raised (lowered) index fit into the pre-existing list of superscripts (subscripts)?
Any help greatly appreciated
 
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  • #2
Andy_X said:
1) Some texts use a unique order for the complete set of indices on a tensor, leaving spaces in the subscript list where superscripts appear and vice versa. Others have superscripts and subscripts above one another. What is the difference and when is it important to have an ordering for the combined set?

It is best to stick to the first convention, where ALL indices (up or down) are put in a definite order. The reason is because you might want to raise or lower indices. There are a few occasions where it's ok to forget about ordering, such as [itex]\delta^a_b[/itex].

2) How is the order of indices determined for a tensor product? E.g. if W=ST are the indices of W formed from the indices of S followed by the indices of T and is this also the case for mixed tensors?

Really, index notation allows you to mix up the order a bit. Strictly speaking, W should have the S indices first, and the T indices second, but nothing prevents you from writing

[tex]W_{abcd} = S_{ac}T_{db}[/tex].

The notation explicitly tells you what the new ordering of indices is. Strictly speaking, this is not merely [itex]W = S \otimes T[/itex], but it is [itex]W = \mathcal{P} (S \otimes T)[/itex], where [itex]\mathcal{P}[/itex] is a map that permutes the indices in a specific way.

3) How is the answer to 2) affected if the product of two tensors also involves a dummy index? i.e. does the dummy index just disappear from the combined list of subscripts and superscripts?

Yes. For example, one can write

[tex]W_{abcd} = S_a{}^e{}_c T_{dbe}[/tex].

4) in raising (or lowering) indices using a metric tensor (or the inverse metric) some texts always put the metric to the left of the tensor being changed (and the inverse to the right) while other texts don’t make this distinction. Which is correct? Also where does the raised (lowered) index fit into the pre-existing list of superscripts (subscripts)?

It doesn't matter where you put the metric when you write out the indices explicitly. The order is simply whatever you write down. For example, you might write

[tex]W_{abcd} = g_{ce} S_a{}^e{} T_{db}[/tex].

It is important to give a definition of the symbol [itex]W_{abcd}[/itex] and remain consistent, but it doesn't matter exactly what order you write all the factors, because the index notation tells you exactly which parts slots are contracted, and which slots get mapped to where.
 

What is a tensor?

A tensor is a mathematical object that represents a multilinear mapping between vector spaces. It can be represented as an array of numbers or symbols with specific transformation properties under coordinate changes.

What are tensor indices?

Tensor indices are subscript or superscript labels used to identify specific components of a tensor. They are used to distinguish between different components of a tensor and keep track of their transformation properties.

How are tensor indices manipulated?

Tensor indices are manipulated using Einstein's summation convention, which states that if an index appears twice in a term of an equation, it is implicitly summed over all possible values. This allows for the concise representation of tensor equations.

What is the significance of tensor indices?

Tensor indices are significant because they allow for the concise notation and manipulation of tensors. They also indicate the transformation properties of the tensor and can be used to determine the symmetry or antisymmetry of a tensor.

What is the role of tensor indices in physics?

In physics, tensors are used to represent physical quantities that have both magnitude and direction, such as velocity, force, and stress. Tensor indices are used to manipulate these quantities and solve equations in various fields of physics, such as mechanics, electromagnetism, and general relativity.

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