https://github.com/cran/pracma
Tip revision: 26e049d70b4a1c237987e260cba68f6a9413736c authored by Hans W. Borchers on 09 April 2019, 04:10:07 UTC
version 2.2.5
version 2.2.5
Tip revision: 26e049d
nullspace.Rd
\name{nullspace}
\alias{nullspace}
\alias{null}
\title{
Kernel or Nullspace
}
\description{
Kernel of the linear map defined by matrix \code{M}.
}
\usage{
nullspace(M)
null(M)
}
\arguments{
\item{M}{Numeric matrix; vectors will be considered as column vectors.}
}
\details{
The kernel (aka null space/nullspace) of a matrix \code{M} is the set of
all vectors \code{x} for which \code{Ax=0}. It is computed from the
QR-decomposition of the matrix.
\code{null} is simply an alias for \code{nullspace} -- and the Matlab name.
}
\value{
If \code{M} is an \code{n}-by-\code{m} (operating from left on
\code{m}-dimensional column vectors), then \code{N=nullspace(M)} is a
\code{m}-by-\code{k} matrix whose columns define a (linearly independent)
basis of the \code{k}-dimensional kernel in \code{R^m}.
If the kernel is only the null vector \code{(0 0 ... 0)}, then NULL will
be returned.
As the rank of a matrix is also the dimension of its image, the following
relation is true:
\code{m = dim(nullspace(M)) + rank(M)}
}
\references{
Trefethen, L. N., and D. Bau III. (1997). Numerical Linear Algebra. SIAM,
Philadelphia.
}
\note{
The image of \code{M} can be retrieved from \code{orth()}.
}
\seealso{
\code{\link{Rank}}, \code{\link{orth}}, \code{MASS::Null}
}
\examples{
M <- matrix(1:12, 3, 4)
Rank(M) #=> 2
N <- nullspace(M)
# [,1] [,2] [,3]
# [1,] 0.4082483 -0.8164966 0.4082483
M %*% N # almost c(0, 0, 0)
M1 <- matrix(1:6, 2, 3) # of rank 2
M2 <- t(M1)
nullspace(M1) # corresponds to 1 -2 1
nullspace(M2) # NULL, i.e. 0 0
M <- magic(5)
Rank(M) #=> 5
nullspace(M) #=> NULL, i.e. 0 0 0 0 0
}
\keyword{ array }