Recap: Tensors and Transformation Properties
As we have seen in here, tensors can be defined, in a linear algebraic sense, as multilinear maps that take in vectors and covectors and output scalars:
Definition: (M, N) Tensor
An (M, N) tensor
at point is a multilinear map:
Where
These tangent spaces and cotangent spaces have basis vectors and dual basis that transform in a specific way under coordinate transformations.
For example, if we define
Where
By contrast, the dual basis of the cotangent space transforms as:
Tensors components are transformed according to how their basis vectors and dual basis transform.
For example, a (1, 1) tensor
Under the coordinate transformation