RM_unif {RMAT}

Generate a uniform random matrix

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)