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Functions wedge() and wedge2() in the stokes package

Robin K. S. Hankin

To cite the stokes package in publications, please use Hankin (2022). In a memorable passage, Spivak (1965) states:

Function wedge() returns the wedge product of any number of \(k\)-forms. Function wedge2() returns the wedge product of two \(k\)-forms, although the idiom is somewhat opaque, especially the “strange” combinatorial coefficient \((k+l)!/(k!l!)\).

Digression: function `spraycross()`

Function wedge() is essentially a convenience wrapper for spraycross(); the meat of wedge2() is the last line: kform(spraycross(K1, K2)). Function spraycross() is part of the spray package and gives a tensor product of sparse arrays, interpreted as multivariate polynomials:

(a <- spray(matrix(1:4,2,2),c(2,5)))

##          val
##  2 4  =    5
##  1 3  =    2

(b <- spray(matrix(c(10,11,12,13),2,2),c(7,11)))

##            val
##  11 13  =   11
##  10 12  =    7

spraycross(a,b)

##                val
##  1 3 10 12  =   14
##  1 3 11 13  =   22
##  2 4 10 12  =   35
##  2 4 11 13  =   55

spraycross(b,a)

##                val
##  10 12 1 3  =   14
##  11 13 1 3  =   22
##  10 12 2 4  =   35
##  11 13 2 4  =   55

Observe that spraycross() (and by association wedge()) is associative and distributive but not commutative.

Cut to the chase: `wedge2()`

Function wedge2() takes two kforms and we will start with a very simple example:

(x <- as.kform(cbind(1,2),5))

## An alternating linear map from V^2 to R with V=R^2:
##          val
##  1 2  =    5

(y <- as.kform(cbind(3,4,7),7))

## An alternating linear map from V^3 to R with V=R^7:
##            val
##  3 4 7  =    7

wedge2(x,y)

## An alternating linear map from V^5 to R with V=R^7:
##                val
##  1 2 3 4 7  =   35

It looks like the combinatorial term has not been included but it has. We will express x and y as tensors (objects of class ktensor) and show how the combinatorial term arises.

 tx <- as.ktensor(x)    # "tx" = tensor 'x'
(ty <- as.ktensor(y))   # "ty" = tensor 'y'

## A linear map from V^3 to R with V=R^7:
##            val
##  7 4 3  =   -7
##  7 3 4  =    7
##  4 7 3  =    7
##  4 3 7  =   -7
##  3 7 4  =   -7
##  3 4 7  =    7

As functions, y and ty are identical:

M <- matrix(round(rnorm(21),2),7,3) # member of (R^7)^3
c(as.function(y)(M),as.function(ty)(M))

## [1] 15.23211 15.23211

Both are equivalent to

7*(
 +M[3,1]*M[4,2]*M[7,3] 
 -M[3,1]*M[4,3]*M[7,2] 
 -M[3,2]*M[4,1]*M[7,3] 
 +M[3,2]*M[4,3]*M[7,1] 
 +M[3,3]*M[4,1]*M[7,2]
 -M[3,3]*M[4,2]*M[7,1]
 )

## [1] 15.23211

We can see that y is a more compact and efficient representation of ty: both are alternating tensors but y has alternatingness built in to its evaluation, while ty is alternating by virtue of including all permutations of its arguments, with the sign of the permutation.

We can evaluate Spivak’s formula (but without the combinatorical term) for \(x\wedge y\) by coercing to ktensors and using tensorprod():

(z <- tensorprod(as.ktensor(x),as.ktensor(y)))

## A linear map from V^5 to R with V=R^7:
##                val
##  1 2 3 4 7  =   35
##  2 1 3 7 4  =   35
##  1 2 4 3 7  =  -35
##  2 1 3 4 7  =  -35
##  1 2 4 7 3  =   35
##  2 1 4 3 7  =   35
##  2 1 4 7 3  =  -35
##  1 2 7 3 4  =   35
##  2 1 7 3 4  =  -35
##  1 2 3 7 4  =  -35
##  1 2 7 4 3  =  -35
##  2 1 7 4 3  =   35

Above, each coefficient is equal to \(\pm 35\) (the sign coming from the sign of the permutation), and we have \(2!3!=12\) rows. We can now calculate \(\operatorname{Alt}(z)\), which would have \(5!=120\) rows, one per permutation of \([5]\), each with coefficient \(\pm\frac{12\times 35}{5!}=\pm 3.5\).

We define \(x\wedge y\) to be \(\frac{5!}{3!2!}\operatorname{Alt}(z)\), so each coefficient would be \(\pm\frac{5!}{3!2!}\cdot\frac{12\times 35}{5!}=35\). We know that \(x\wedge y\) is an alternating form. So to represent it as an object of class kform, we need a kform object with single index entry 1 2 3 4 7. This would need coefficient 35, on the grounds that it is linear, alternating, and maps \(\begin{pmatrix} 1&0&0&0&0\\ 0&1&0&0&0\\ 0&0&1&0&0\\ 0&0&0&1&0\\ 0&0&0&0&0\\ 0&0&0&0&0\\ 0&0&0&0&1 \end{pmatrix}\) to \(35\); and indeed this is what we see:

wedge(x,y)

## An alternating linear map from V^5 to R with V=R^7:
##                val
##  1 2 3 4 7  =   35

So to conclude, the combinatorial term is present in the R idiom, it is just difficult to see at first glance.

Algebraic properties

First of all we should note that \(\Lambda^k(V)\) is a vector space (this is considered in the kform vignette). If \(\omega,\omega_i\in\Lambda^k(V)\) and \(\eta,\eta_i\in\Lambda^l(V)\) then

\[\begin{eqnarray} (\omega_1+\omega_2)\wedge\eta &=& \omega_1\wedge\eta+\omega_2\wedge\eta\\ \omega\wedge(\eta_1+\eta_2) &=&\omega\wedge\eta_1 + \omega\wedge\eta_2\\ \end{eqnarray}\]

(that is, the wedge product is left- and right- distributive); if \(a\in\mathbb{R}\) then

\[\begin{equation} a\omega\wedge\eta = \omega\wedge a\eta=a(\omega\wedge\eta) \end{equation}\]

and \[\begin{equation} \omega\wedge\eta = (-1)^{kl}\eta\wedge\omega. \end{equation}\]

These rules make expansion of wedge products possible by expressing a general kform in terms of a basis for \(\Lambda^k(V)\). Spivak (1965) tells us that, if \(v_1,\ldots,v_k\) is a basis for \(V\), then the set of all

\[\begin{equation} \phi_{i_1}\wedge\phi_{i_2}\wedge\cdots\wedge\phi_{i_k}\qquad 1\leq i_1 < \cdots < i_k\leq n \end{equation}\]

is a basis for \(\Lambda^k(V)\) where \(\phi_i(v_j)=\delta_{ij}\). The package expresses a \(k\)-form in terms of this basis as in the following example:

(omega <- as.kform(rbind(c(1,2,8),c(1,3,7)),5:6))

## An alternating linear map from V^3 to R with V=R^8:
##            val
##  1 3 7  =    6
##  1 2 8  =    5

In algebraic notation, omega (or \(\omega\)) would be \(5\phi_1\wedge\phi_2\wedge\phi_8+6\phi_1\wedge\phi_3\wedge\phi_7\) and we may write this as \(\omega=5\phi_{128}+6\phi_{137}\). To take a wedge product of this with \(\eta=2\phi_{235}+3\phi_{356}\) we would write

\[\begin{eqnarray} \omega\wedge\eta &=& (5\phi_{128}+6\phi_{137})\wedge (2\phi_{235}+3\phi_{356})\\ &=& 10\phi_{128}\wedge\phi_{235} + 15\phi_{128}\wedge\phi_{356} + 12\phi_{137}\wedge\phi_{235} + 18\phi_{137}\wedge\phi_{356}\\ &=& 10\phi_1\wedge\phi_2\wedge\phi_8\wedge\phi_2\wedge\phi_3\wedge\phi_5 + 15\phi_1\wedge\phi_2\wedge\phi_8\wedge\phi_3\wedge\phi_5\wedge\phi_6\\&{}&\qquad + 12\phi_1\wedge\phi_3\wedge\phi_7\wedge\phi_2\wedge\phi_3\wedge\phi_5 + 18\phi_1\wedge\phi_3\wedge\phi_7\wedge\phi_3\wedge\phi_5\wedge\phi_6\\ &=& 0+ 15\phi_1\wedge\phi_2\wedge\phi_8\wedge\phi_3\wedge\phi_5\wedge\phi_6+0+0\\ &=& -15\phi_1\wedge\phi_2\wedge\phi_3\wedge\phi_5\wedge\phi_6\wedge\phi_8 \end{eqnarray}\]

where we have used the rules repeatedly (especially the fact that \(\omega\wedge\omega=0\) for any alternating form). Package idiom would be:

eta <- as.kform(rbind(c(2,3,5),c(3,5,6)),2:3)
wedge(omega,eta)

## An alternating linear map from V^6 to R with V=R^8:
##                  val
##  1 2 3 5 6 8  =  -15

See how function wedge() does the legwork.

References

Hankin, R. K. S. 2022. “Stokes’s Theorem in R.” arXiv. https://doi.org/10.48550/ARXIV.2210.17008.

Spivak, M. 1965. Calculus on Manifolds. Addison-Wesley.

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Functions wedge() and wedge2() in the stokes package

Robin K. S. Hankin

Digression: function spraycross()

Cut to the chase: wedge2()

Algebraic properties

References

Functions `wedge()` and `wedge2()` in the `stokes` package

Digression: function `spraycross()`

Cut to the chase: `wedge2()`