Wedge product of basis vectors

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Discussion Overview

The discussion centers around the properties and relationships of the wedge product of basis vectors, comparing it to the dot product and cross product. Participants explore the mathematical structure of the wedge product, its bilinearity, and its implications in vector spaces.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant asks if there are specific relationships for the wedge product of basis vectors similar to those for the dot and cross products.
  • Another participant describes the wedge product as bilinear and associative, noting that for vectors in a field where the characteristic is not two, the wedge product of a vector with itself is zero.
  • A question is raised about whether the components discussed are basis vectors or something else, seeking clarification in simpler terms.
  • A response clarifies that the discussion pertains to arbitrary vectors, including basis vectors, and explains the equivalence classes of tensor products involved in the wedge product.
  • Another participant questions whether the result of the wedge product operation is an element of the same vector space as the original vectors, suggesting that it requires a different mathematical structure.
  • There is an analogy drawn between the wedge product and the cross product, emphasizing the difference in the nature of the results produced by each operation.

Areas of Agreement / Disagreement

Participants express differing views on the nature of the wedge product and its relationship to the vector space containing the original vectors. There is no consensus on whether the wedge product results in an element of the same vector space.

Contextual Notes

Some participants reference the need for specific mathematical structures to define the wedge product, indicating a dependence on definitions and the characteristics of the underlying field.

Kevin McHugh
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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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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}##
 
Are those components or basis vectors? Can you explain that in English?
 
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
 
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##.
 

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