Provides functions for row-reducing and inverting matrices with entries in many of the finite fields (those with a prime number of elements). With this package, users will be able to find the reduced row echelon form (RREF) of a matrix and calculate the inverse of a (square, invertible) matrix.
The goal of matrixmodp is to make two matrix algebra tasks easier when
working with the fields $\mathbb{F}_p$. Specifically, this package
provides two functions: rref_p() calculates the reduced-row echelon
form of a matrix, and inv_p() calculates the inverse of a (square,
invertible) matrix.
You can install the public released version of matrixmodp from CRAN
with:
install.packages("matrixmodp")
#> Installing package into 'C:/Users/rhigginbottom/AppData/Local/Temp/Rtmpc35hmI/temp_libpath93c0442736d5'
#> (as 'lib' is unspecified)
#> Warning: package 'matrixmodp' is not available for this version of R
#>
#> A version of this package for your version of R might be available elsewhere,
#> see the ideas at
#> https://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages
You can install the development version of matrixmodp from GitHub with:
# install.packages("devtools")
devtools::install_github("rhigginbottom/matrixmodp")
We first provide an example of finding the RREF of a matrix with entries in $\mathbb{F}_5$.
library(matrixmodp)
entries <- c(4, 1, 2, 0, 0, 3, 4, 0, 0, 1, 4, 1)
A <- matrix(entries, 3, 4)
rref_p(A, 5)
#> [,1] [,2] [,3] [,4]
#> [1,] 1 0 0 4
#> [2,] 0 1 0 1
#> [3,] 0 0 1 0
We now show how to find the inverse of a $3\times 3$ matrix over $\mathbb{F}_7$.
library(matrixmodp)
entries <- c(3, 3, 3, 2, 0, 2, 1, 2, 5)
A <- matrix(entries, 3, 3)
inv_p(A, 7)
#> [,1] [,2] [,3]
#> [1,] 6 5 1
#> [2,] 3 3 1
#> [3,] 5 0 2
Some of the code for the rref_p() function was taken from the
echelon() function in the matlib package. Because of the different
way row operations need to work when using entries in $\mathbb{F}_p$, no
functions could be copied entirely. This makes attribution somewhat
difficult. The license chosen for this package was specifically chosen
to be compatible with the license in use for the matlib package
because of this overlap in code.