# Tensor Product of Matrix and Vector

I am studying tensor networks and tensors. A commonly described operation is the tensor product (denoted by $$\otimes$$) which is a generalization of the outer product (as I understand it). It makes sense to me that the outer product of two tensors of order 1 (i.e. vectors) is a matrix (tensor of order 1+1 = 2). And I can compute it by hand by doing $$v u^{\text{T}}$$, which helps cement what is going on when we perform this operation.

I am trying to extend my understanding to the tensor product of a matrix and a vector. I think it should result in a tensor of order 3. But how do I actually compute it? For example, if we take a 2 by 2 matrix $$A$$ and take the outer product with a 2 by 1 vector $$b$$ I'd think what I should get is a tensor, maybe two 2 by 2 matrices (each one a "page" of the tensor). If I try to do that in MATLAB using kron I get a 4 by 2 matrix (i.e. a tensor of order 2, not 3). And I've not found any formulae that show how you would perform this by hand.

I'd appreciate any insight or hints.

$$[A \otimes B ]_{i_1,\dots,i_r,j_1,\dots,j_s} = A_{i_1,\dots,i_r} \cdot B_{j_1,\dots,j_s}$$
If you carry this out term by term it will become apparent that the result is a 2 by 2 by 1 array where the first "page" of the array is the matrix $$A$$ with each term multiplied by the first element of $$B$$. The second page is $$A$$ again but multiplied by the second element of $$B$$ and so on. I confirmed this using ncon in MATLAB.