term {clifford} | R Documentation |
Deal with terms
Description
By basis vector, I mean one of the basis vectors of the underlying vector space \(R^n\), that is, an element of the set \(\left\lbrace e_1,\ldots,e_n\right\rbrace\). A term is a wedge product of basis vectors (or a geometric product of linearly independent basis vectors), something like \(e_{12}\) or \(e_{12569}\). Sometimes I use the word “term” to mean a wedge product of basis vectors together with its associated coefficient: so \(7e_{12}\) would be described as a term.
From Perwass: a blade is the outer product of a number of 1-vectors (or, equivalently, the wedge product of linearly independent 1-vectors). Thus \(e_{12}=e_1\wedge e_2\) and \(e_{12} + e_{13}=e_1\wedge(e_2+e_3)\) are blades, but \(e_{12} + e_{34}\) is not.
Function rblade()
, documented at ‘rcliff.Rd’, returns a
random blade.
Function is.blade()
is not currently implemented: there is no
easy way to detect whether a Clifford object is a product of 1-vectors.
Usage
terms(x)
is.blade(x)
is.basisblade(x)
Arguments
x |
Object of class |
Details
Functions
terms()
andcoeffs()
are the extraction methods. These are unordered vectors but the ordering is consistent between them (an extended discussion of this phenomenon is presented in themvp
package).Function
term()
returns a clifford object that comprises a single term with unit coefficient.Function
is.basisterm()
returnsTRUE
if its argument has only a single term, or is a nonzero scalar; the zero clifford object is not considered to be a basis term.
Author(s)
Robin K. S. Hankin
References
C. Perwass. “Geometric algebra with applications in engineering”. Springer, 2009.
See Also
Examples
x <- rcliff()
terms(x)
is.basisblade(x)
a <- as.1vector(1:3)
b <- as.1vector(c(0,0,0,12,13))
a %^% b # a blade