Wedge product of basis vectors

In summary: So we can call the cross product a "vector operation", but we can't do that with the wedge product.In summary, the wedge product is a bilinear operation that is associative and follows certain rules, such as the property that the wedge product of a vector with itself is zero. It is similar to the cross product, but produces a different mathematical structure and cannot be considered a vector operation.
  • #1
Kevin McHugh
318
164
Is there a set of relationships for the wedge product of basis vectors as there are for the dot product and the cross product?

i.e. e1*e1 = 1
e1*e2 = 0

e1 x e2 = e3
 
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  • #2
It's bilinear, associative and ##v \wedge v=0## (if char ##\mathbb{F} \neq 2##). In general it's ##a \wedge b = (-1)^{nm} b \wedge a## for ##a \in \Lambda^n(V)=
\underbrace{V \wedge V \wedge \ldots \wedge V}_{n\ times}## and ##b \in \Lambda^m(V)= \underbrace{V \wedge V \wedge \ldots \wedge V}_{m\ times}##
 
  • #3
Are those components or basis vectors? Can you explain that in English?
 
  • #4
It is meant as for arbitrary vectors. So especially for basis vectors, too, if you like. In coordinates, it would be some equivalence classes of tensor products, but I don't know how to press this equivalence relation into coordinates. It means basically that the wedge-product or better exterior product is a tensor product, but some tensors are considered to be equal, because the relations below have to be met.

If we have a vector space ##V## over a field ##\mathbb{F}## in which ##1+1 \neq 0## holds, then for ## a,b,c \in V## and ##\lambda \in \mathbb{F}## the following is true:
  1. ##(a+b) \wedge c = a\wedge c + b \wedge c##
  2. ##\lambda (a \wedge b) = (\lambda a) \wedge b = a \wedge (\lambda b)##
  3. ##a \wedge (b \wedge c) = (a \wedge b) \wedge c##
  4. ##a \wedge a = 0##
  5. ##a_1 \wedge \ldots \wedge a_n \wedge b_1 \wedge \ldots \wedge b_m = (-1)^{nm} b_1 \wedge \ldots \wedge b_m \wedge a_1 \wedge \ldots \wedge a_n##
The first two are called linearity, which together with the fifth becomes multi-linearity (linear in all "factors"), the third one is associativity, the fourth is a special case of the fifth together with the fact, that ##1+1 \neq 0##, which is said as the characteristic of ##\mathbb{F}## is not two, and the fifth alone can be called graduated commutativity, i.e. it determines what happens, if we change the order of "factors". I don't know how to put the formulas in other English words as their names are.

Perhaps you want to read the Wikipedia entry on it: https://en.wikipedia.org/wiki/Exterior_algebra
 
  • #5
Kevin McHugh said:
Are those components or basis vectors?

The first question is whether ##a \wedge b## is something (e.g. a vector or a scalar) in the same vector space that contains ##a## and ##b##.

I'd say no. For ##a## and ##b## in a a vector space ##V##, in order to define ##a \wedge b##, you must define a different mathematical structure than ##V## itself. ( As an analogy, we can use two real numbers x1, x2 to define an interval [x1,x2], but "an interval" is a different thing than a single real number. )

By contrast, the cross product operation (in 3 dimensions) ##a \times b## does produce a result that is also a element of the the same vector space ##V## that contains ##a## and ##b##.
 

Related to Wedge product of basis vectors

1. What is the wedge product of basis vectors?

The wedge product of basis vectors is a mathematical operation used in multilinear algebra where two or more vectors are combined to form a new vector. It is also known as the exterior product or outer product.

2. How is the wedge product different from the dot product?

The wedge product and the dot product are two different operations in vector algebra. While the dot product results in a scalar value, the wedge product results in a vector. Additionally, the dot product is commutative, while the wedge product is anti-commutative.

3. What is the geometric interpretation of the wedge product?

The wedge product can be thought of as a measure of the area of a parallelogram formed by two vectors. The magnitude of the resulting vector is equal to the area of the parallelogram, and the direction of the vector is perpendicular to the plane formed by the two vectors.

4. How is the wedge product used in physics?

In physics, the wedge product is used to calculate the work done by a force on an object. It is also used in electromagnetism to calculate the flux of a vector field through a surface.

5. Can the wedge product be extended to more than two vectors?

Yes, the wedge product can be extended to any number of vectors. The resulting vector will be perpendicular to the hyperplane formed by all the input vectors, and its magnitude will be equal to the volume of the parallelepiped formed by the vectors.

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