For real column vectors v∈Rmv\in\mathbb R^m and w∈Rnw\in\mathbb R^n, their outer product is

v⊗w=vwT,(v⊗w)ij=viwj.v\otimes w=vw^T,\qquad (v\otimes w)_{ij}=v_iw_j.

It acts on a vector x∈Rnx\in\mathbb R^n by (v⊗w)x=v(w⋅x)(v\otimes w)x=v(w\cdot x). Its range is contained in the span of vv, and its is one when both vectors are nonzero.

Quadratic tensors

The matrix v⊗vv\otimes v is symmetric and positive semidefinite since xT(v⊗v)x=(v⋅x)2≥0x^T(v\otimes v)x=(v\cdot x)^2\ge0. For complex vectors, a Hermitian covariance uses vv∗vv^*, with conjugation, whereas the bilinear tensor vvTvv^T has a different meaning. State that convention explicitly.

References