What Determines the Rank of a 2x2x2 Tensor?

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The rank of a 2x2x2 tensor is determined by its ability to be expressed as a sum of outer products of vectors. Specifically, the tensor rank is 2 for the provided 2x2x2 array, which can be represented as a sum of two outer products. The example given illustrates this with specific vectors, confirming the rank through linear independence of the components involved. Understanding this concept is crucial for manipulating tensors in various applications, including physics and engineering.

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Rank of a tensor--- 2x2x2 Array

Can anybody give me an example of 2x2x2 Array whose tensor rank is 2

or

Can somebody show me why the tensor rank is two for the following 2x2x2 array. That is can you express as a sum of 2 outer products?
I am giving the entries of the first face and then the second face. I do realize I could have asked this question various other terminology--this is the one I am most comfortable one. I hope my question is clear. Thank you

1 0 0 1
01 1 0
 
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The rank of a ##(2,2,2)-##tensor ##T## is the minimum ##m\in \mathbb{N}_0## such that there is an representation
$$
T=\sum_{k=1}^m u_k \otimes v_k \otimes w_k
$$
Thus you have just to make sure, that all ##u_k,v_k,w_k## are "sufficiently" linearly independent:
$$
T:= \begin{bmatrix}1\\0\end{bmatrix}\otimes \begin{bmatrix}0\\1\end{bmatrix}\otimes \begin{bmatrix}a\\b\end{bmatrix} + \begin{bmatrix}0\\1\end{bmatrix}\otimes \begin{bmatrix}1\\0\end{bmatrix}\otimes \begin{bmatrix}c\\d\end{bmatrix}
$$
Here is an ##(4,4,4)-##example: https://www.physicsforums.com/insights/what-is-a-tensor/
 

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