This section is divided into a number of subsections, links to which are:
Wedge product
The wedge product of two vectors u and v measures the noncommutativity of their tensor product.It can be shown that in n dimensions, the antisymmetric matrix u ∧ v has n(n − 1)/2 unique entries. The wedge product is an antisymmetric 2-tensor, in any dimension.
Like the tensor product, the wedge product is defined for two vectors of arbitrary dimension. Notice, too, that the wedge product shares many properties with the cross product. For example, it is easy to verify directly from the definition of the wedge product as the difference of two tensor products obeys the following properties:
- u∧u=0;
- v∧u=−u∧v (anticommutative);
- u∗(v∧w)≠(u∧v)∗wT (nonassociative);
- c(u∧u)=(cu)∧u=u∧(cu);
- u∧(v+w)=u∧v+u∧w (distributive);
- u∗(v∧w)+v∗(w∧u)+w∗(u∧v)=0 (Jacobi identity).
- u∗(u∧v)∗uT=v∗(u∧v)∗vT,
- u∗(u∧v)∗vT=(u⋅u)(v⋅v)−(u⋅v)2=‖u‖2‖v‖2sinθ.
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An outer product is the tensor product of two coordinate vectors u=[u1,u2,…,um] and v=[v1,v2,…,vn], denoted u⊗v, is an m-by-n matrix W of rank 1 such that its coordinates satisfy wi,j=uivj. The outer product u⊗v, is equivalent to a matrix multiplication uv∗, (or uvT, if vectors are real) provided that u is represented as a column m×1 vector, and v as a column n×1 vector. Here v∗=¯vT.
&omega1 = 3xdx − 5ydy
and
&omega2 = 2zdx + 4xdz
Then
If &omega3 = ydz − zdy, then
The outer product operation can be extended for matrices. If A is an m×n matrix and B is an p×q matrix, then their outer product A⊗B is mp×nq matrix:
- Anton, Howard (2005), Elementary Linear Algebra (Applications Version) (9th ed.), Wiley International