RM_unif: Generate a uniform random matrix

In RMAT: Random Matrix Analysis Toolkit

Description

Uniform random matrices are matrices with uniformly distributed entries. They are an elementary type of random matrix.

Usage

RM_unif(N, min, max, symm = FALSE, cplx = FALSE, herm = FALSE)

Arguments

N	number of dimensions of the square matrix
min	minimum of the uniform distribution to be sampled from
max	maximum of the uniform distribution to be sampled from
symm	indicates whether the matrix should be symmetric (equal to its transpose).
cplx	indicates whether the matrix should have complex entries.
herm	indicates whether the matrix should be hermitian (equal to its conjugate transpose). Reserved for when cplx = TRUE, otherwise use symm = TRUE.

Value

A random matrix with uniformly distributed entries.

Examples

# Unif(1,2) distributed matrix
P <- RM_unif(N = 3, min = 1, max = 2)

# Unif(0,5) distributed matrix with real symmetric entries
P <- RM_unif(N = 7, min = 0, max = 5, symm = TRUE)

# Unif(0,1) distributed matrix with complex entries
Q <- RM_unif(N = 7, min = 0, max = 1, cplx = TRUE)

# Unif(2,10) distributed matrix with hermitian complex entries
Q <- RM_unif(N = 5, min = 2, max = 10, cplx = TRUE, herm = TRUE)

RMAT documentation built on April 28, 2021, 9:06 a.m.