Computation of a certain explicit representation of (hyper)spherical harmonics on c("\n", "Sp−1:=xinRp:∣∣x∣∣=1"), p≥2. Details are available in García-Portugués et al. (2024).
g_i_k(x, i =1, k =1, m =NULL, show_m =FALSE)
Arguments
x: locations in Sp−1 to evaluate gi,k. Either a matrix of size c(nx, p) or a vector of size p. Normalized internally if required (with a warning message).
i, k: alternative indexing to refer to the i-th (hyper)spherical harmonic of order k. i is a positive integer smaller than d_p_k and k is a non-negative integer.
m: (hyper)spherical harmonic index, as used in Proposition 3.1. The index is computed internally from i and k. Defaults to NULL.
show_m: flag to print m if computed internally when m = NULL.
Returns
A vector of size nrow(x).
Details
The implementation uses Proposition 3.1 in García-Portugués et al. (2024), which adapts Theorem 1.5.1 in Dai and Xu (2013) with the correction of typos in the normalizing constant hα and in the definition of the function gα of the latter theorem.
Examples
n <-3e3old_par <- par(mfrow = c(2,3))k <-2for(i in1:d_p_k(p =3, k = k)){ X <- r_unif_sph(n = n, p =3, M =1)[,,1] col <- rainbow(n)[rank(g_i_k(x = X, k = k, i = i, show_m =TRUE))] scatterplot3d::scatterplot3d(X[,1], X[,2], X[,3], color = col, axis =FALSE, pch =19)}for(k in0:5){ X <- r_unif_sph(n = n, p =3, M =1)[,,1] col <- rainbow(n)[rank(g_i_k(x = X, k = k, i =1, show_m =TRUE))] scatterplot3d::scatterplot3d(X[,1], X[,2], X[,3], color = col, axis =FALSE, pch =19)}par(old_par)
References
Dai, F. and Xu, Y. (2013). Approximation Theory and Harmonic Analysis on Spheres and Balls. Springer, New York. tools:::Rd_expr_doi("10.1007/978-1-4614-6660-4")
García-Portugués, E., Paindaveine, D., and Verdebout, T. (2024). On a class of Sobolev tests for symmetry of directions, their detection thresholds, and asymptotic powers. arXiv:2108.09874v2. tools:::Rd_expr_doi("10.48550/arXiv.2108.09874")