Exploring the Trace of a Fourth Rank Tensor in Index Notation

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In summary: The essence is that the contraction summands correspond to the products of components of the tensors. For example, the Riemann tensor has components ##R_{abcd}## and the contraction summands ##\eta_{ab}\eta_{cd}R^{acbd}## correspond to the products ##R_{abcd}\times \eta^{ab}\times \eta^{cd}##.
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binbagsss
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What is the general expression for the trace of a fourth rank tensor? Do you sum over possibilities of contractions with some factor?

So, for instance, for the Riemann tensor, it is given by:

$\eta_{ab}\eta_{cd}R^{acbd}$

due to these being independent contractions due to the symmetry properties the Riemann tensor obeys.

But what would it be for a general fourth rank tensor?

Thanks
 
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  • #2
Is it even defined for tensors of rank higher than 2?
 
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binbagsss said:
What is the general expression for the trace of a fourth rank tensor? Do you sum over possibilities of contractions with some factor?

So, for instance, for the Riemann tensor, it is given by:

$\eta_{ab}\eta_{cd}R^{acbd}$

due to these being independent contractions due to the symmetry properties the Riemann tensor obeys.

But what would it be for a general fourth rank tensor?

Thanks
Why do you want to know this? Or better: what is the trace to you?

The trace is not only a formula. We can define it for matrices by the characteristic polynomial, for field extensions, or what we get if we differentiate the determinant at ##1##. It is an invariant quantity (versus change of basis).

You can artificially define a trace. $$V\otimes V\otimes V\otimes V \cong \underbrace{(V\otimes V)}_{=:W}\otimes \underbrace{(V\otimes V)^*}_{=:W^*}
$$
is a matrix, i.e. an endomorphism of ##W.## As such, it has a trace.
See https://en.wikipedia.org/wiki/Tensor_contraction for the "official" generalization. You will find a better explanation on the German version https://de.wikipedia.org/wiki/Tensorverjüngung of it. If you use Chrome, then right-click on the page for a translation. It will give you at least the important sentence:
Applications can be found e.g. B. in the theory of relativity[3] (see also length contraction), mechanics[4] etc.[5]
with corresponding links that is not part of the English version (or not in that wording).
 
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  • #4
I am not too familiar with tensor product notation etc, is is possible to answer using tensor index notation?

why? looking at tensor decompositions of fourth rank tensors.
 
  • #5
binbagsss said:
I am not too familiar with tensor product notation etc, is is possible to answer using tensor index notation?

why? looking at tensor decompositions of fourth rank tensors.
See the two Wikipedia pages for index notation and the links I quoted.
 

1. What is a fourth rank tensor?

A fourth rank tensor is a mathematical object that represents the relationship between four different sets of vectors or tensors. It can be thought of as a multidimensional array of numbers that follows certain transformation rules.

2. What is index notation?

Index notation is a way of representing tensors using indices or subscripts to denote the different components of the tensor. It is a concise and efficient way of writing tensors, especially when dealing with higher order tensors like fourth rank tensors.

3. How do you explore the trace of a fourth rank tensor in index notation?

To explore the trace of a fourth rank tensor in index notation, you first need to identify the indices that correspond to the same coordinate direction. Then, you sum over these indices to get the trace of the tensor. This can be represented as a contraction of two indices.

4. What is the significance of exploring the trace of a fourth rank tensor?

The trace of a fourth rank tensor provides information about the symmetry and invariance of the tensor. It can also be used to simplify equations and identify relationships between different components of the tensor.

5. Are there any real-world applications of exploring the trace of a fourth rank tensor?

Yes, there are many real-world applications of exploring the trace of a fourth rank tensor. For example, in physics, it is used to study the stress and strain of materials. In engineering, it is used to analyze the behavior of structures under different loads. It is also used in computer graphics and image processing for pattern recognition and feature extraction.

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