What Determines the Rank of a 2x2x2 Tensor?

In summary, the rank of a 2x2x2 array is 2. This means that it can be expressed as a sum of 2 outer products, with each outer product represented by three vectors. The vectors must be sufficiently linearly independent for the rank to be 2. An example of a 2x2x2 array with a rank of 2 is given by a 4x4x4 array, where each outer product has four vectors.
  • #1
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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/
 

FAQ: What Determines the Rank of a 2x2x2 Tensor?

What is the rank of a tensor- 2x2x2 Array?

The rank of a tensor- 2x2x2 Array refers to the number of dimensions or axes present in the array. In this case, the rank is 3 because the array has 3 dimensions: length, width, and depth.

How is the rank of a tensor- 2x2x2 Array calculated?

The rank of a tensor- 2x2x2 Array is calculated by counting the number of indices or subscripts needed to access an element in the array. In this case, we need three indices (i, j, k) to access an element in the 2x2x2 Array, indicating a rank of 3.

Can the rank of a tensor- 2x2x2 Array change?

No, the rank of a tensor- 2x2x2 Array is fixed and cannot change. The array is defined with 3 dimensions and will always have a rank of 3.

How is the rank of a tensor- 2x2x2 Array related to its shape?

The rank of a tensor- 2x2x2 Array is directly related to its shape. The shape of an array is determined by the number of elements along each axis, and the rank is determined by the number of axes present. In this case, the shape of the 2x2x2 Array is (2, 2, 2) and the rank is 3.

Why is the rank of a tensor- 2x2x2 Array important in scientific calculations?

The rank of a tensor- 2x2x2 Array is important in scientific calculations because it determines the number of indices needed to access and manipulate data in the array. Additionally, the rank helps to define the type and complexity of mathematical operations that can be performed on the array.

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