stem/Maths/Tensor.md
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---
tags:
- maths
---
## Rank
- Number of indices
- Basis vectors per dimension/component
- 0
- Scalar
- 1
- Column Vector
- 2
- Square Matrix
- 3
- Cube matrix
Matrices are not inherently rank-2 tensors. Matrices are just the formatting structure. The tensor described by the matrix must follow the transformation rules to be a tensor
![tensor](../img/tensor.png)
# Transformation Rules
1. Transforms like a tensor
2. Invariant to a change in coordinate system
- Components change according to mathematical formulae
## Dimension
- Dimensionality to the rank = number of components
An $n$-[rank](https://mathworld.wolfram.com/TensorRank.html) tensor in $m$-dimensional space is a mathematical object that has $n$ indices and $m^n$ components and obeys certain transformation rules
From <[wolfram](https://mathworld.wolfram.com/Tensor.html)>