Exploring Wedge Product of 0-Form and l-Form

In summary, the wedge-product is defined as the Alternator with the argument being the Tensor product of one k-form and a l-form. It is equal to f * eta and is a pseudotensor operation while the wedge product is a tensor operation. The role of sigma is to create an alternating product and the factors 1/l! and 1/k! account for permutations that do not affect the order. This defines a multilinear, associative, anti-commutative, and graded multiplication on Lambda(V) = T(V)/v⊗w-w⊗v.
  • #1
Maxi1995
14
0
Hello,
we defined the wedge-product as follows
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Alt is the Alternator and the argument of Alt is the Tensor poduct of one k-form and a l-form (in this order w and eta).
Suppose we have the wedge product of a 0-form (a smooth function) and a l-form , so the following may result:

$$\frac{1}{l!} \sum_{\sigma \in S_k} sgn(\sigma) f \eta(v_{\sigma(1)},...,v_{\sigma(l)}).$$

Does it hold to say that it is equal to $$f*\eta?$$
 

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  • #2
You really should not use ##*## here as it may be mistaken for the hodge operator.

That being said, what do you think? ##f## is clearly independent of the permutation ##\sigma## so you can move it outside the sum. It remains for you to show whether
$$
\eta(v_1, \ldots, v_\ell) = \frac{1}{\ell !} \sum_{\sigma \in S_\ell} \operatorname{sgn}(\sigma) \eta(v_{\sigma(1)},\ldots, v_{\sigma(\ell)})
$$
or not.
 
  • #3
In addition, * is a pseudotensor operation while ##\wedge## is a tensor one
 
  • #4
Well I weren't sure how to cope with the $$\sigma.$$ My idea was to say that we find for every permutation a counter part, that deviates only by one transposition from our permutation, so to say its form might be $$\sigma \circ \tau,$$ wehere tau is a transposition. By the alternation of the k-form, these parts should vanish. But for the transpositions in the group remain l! possibilities, so that we might get

$$\eta(v_1,...,v_k)-l!\eta(v_1,...,v_k)$$
and if that is not wrong, I don't know how to go on.
 
  • #5
Maxi1995 said:
Well I weren't sure how to cope with the ##\sigma.##
I think this is too complicated.

##\omega \wedge \eta## is a ##(k+l)-##form, so we have to define ##(\omega\wedge\eta)\,(v_1,\ldots,v_{k+l})##. The formula for the alternator is
$$
Alt(\omega \wedge \eta)=\dfrac{1}{(k+l)!}\sum_{\sigma\in S_{k+l}}\operatorname{sgn}(\sigma)\,(\omega \wedge \eta)(v_{\sigma(1)},\ldots ,v_{ \sigma(k+l) } )
$$
so we have to explain
$$
\begin{align*}
(\omega\wedge\eta)\,(v_1,\ldots,v_{k+l})&=\dfrac{1}{k!\,l!}\sum_{\sigma\in S_{k+l}}\operatorname{sgn}(\sigma)(\omega \wedge \eta)\,(v_{\sigma(1)},\ldots ,v_{ \sigma(k+l) } )\\&=\sum_{\sigma\in S_{k+l}}\operatorname{sgn}(\sigma)\,\dfrac{1}{l!}\omega(v_{\sigma(1)},\ldots ,v_{ \sigma(k) }) \wedge \dfrac{1}{k!}\eta(v_{\sigma(k+1)},\ldots ,v_{ \sigma(k+l) })
\end{align*}
$$
This defines a multilinear, associative, anti-commutative and graded multiplication on ##\Lambda (V) = T(V)/\langle v\otimes w-w\otimes v\rangle##.

The role of ##\sigma## is actually only the role of ##\operatorname{sgn}(\sigma)##, which simply is a count of the number of mismatches in the natural order of ##1,\ldots ,k+l## which makes the entire product alternating. The factors ##\dfrac{1}{l!}\; , \;\dfrac{1}{k!}## can be considered as the amount of permutations which do not have an effect:

Say ##k=2## and ##l=3##. Then for every permutation ##\sigma \in S_5## which affects the order of ##(v_1,v_2)## we have ##3!## identical versions which permute the remaining ##3## indices, which is why we cancel them via division, e.g.
$$
\omega(v_1,v_2)\stackrel{(*)}{=}\dfrac{1}{3!}\left(\sum_{\sigma=(345)}\omega(v_{\sigma(1)}+v_{\sigma(2)})+\sum_{\sigma=(354)}\omega(v_{\sigma(1)}+v_{\sigma(2)})+\sum_{\sigma=(34)}\omega(v_{\sigma(1)}+v_{\sigma(2)})+\sum_{\sigma=(35)}\omega(v_{\sigma(1)}+v_{\sigma(2)})+\sum_{\sigma=(45)}\omega(v_{\sigma(1)}+v_{\sigma(2)})+\sum_{\sigma=(1)}\omega(v_{\sigma(1)}+v_{\sigma(2)})\right)
$$
##(*) ## The sums aren't necessary here as we only sum over one term, they merely serve as a place to write the permutation ##\sigma##.
 

FAQ: Exploring Wedge Product of 0-Form and l-Form

1. What is the Wedge Product of 0-Form and l-Form?

The Wedge Product of 0-Form and l-Form is a mathematical operation that combines two or more mathematical objects, such as vectors or differential forms, to create a new object. In this case, the 0-form represents a scalar quantity, while the l-form represents a linear form or vector. The result of the wedge product is a new object that contains information about both the 0-form and the l-form.

2. How is the Wedge Product of 0-Form and l-Form calculated?

The Wedge Product of 0-Form and l-Form is calculated using the exterior product, or wedge product, which is denoted by the symbol ∧. The formula for the wedge product is A ∧ B = (-1)^p*q * B ∧ A, where A and B are the two objects being multiplied, and p and q are the degrees of the objects. In the case of a 0-form and l-form, p = 0 and q = 1, so the formula simplifies to A ∧ B = -B ∧ A.

3. What is the significance of the Wedge Product of 0-Form and l-Form in science?

The Wedge Product of 0-Form and l-Form is a fundamental concept in geometry, topology, and differential geometry. It is used to define the exterior algebra, which is a mathematical structure that is useful in various areas of science, including physics, engineering, and computer science. The wedge product allows us to manipulate and analyze geometric objects in a more efficient and elegant way.

4. Can the Wedge Product of 0-Form and l-Form be applied to other types of objects?

Yes, the wedge product can be applied to any type of mathematical object, as long as they satisfy certain conditions. For example, the wedge product can be used to multiply two vectors, two differential forms, or a vector and a differential form. It can also be extended to higher dimensions, where it is used to multiply higher-degree forms.

5. What are some real-world applications of the Wedge Product of 0-Form and l-Form?

The Wedge Product of 0-Form and l-Form has many real-world applications, including in physics, engineering, and computer science. In physics, it is used to describe electromagnetic fields and quantum states. In engineering, it is used in mechanics, fluid dynamics, and control theory. In computer science, it is used in computer graphics, image processing, and artificial intelligence. It also has applications in other fields, such as economics, biology, and finance.

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