Abstract
Forn pointsA i ,i=1, 2, ...,n, in Euclidean space ℝm, the distance matrix is defined as a matrix of the form D=(D i ,j) i ,j=1,...,n, where theD i ,j are the distances between the pointsA i andA j . Two configurations of pointsA i ,i=1, 2,...,n, are considered. These are the configurations of points all lying on a circle or on a line and of points at the vertices of anm-dimensional cube. In the first case, the inverse matrix is obtained in explicit form. In the second case, it is shown that the complete set of eigenvectors is composed of the columns of the Hadamard matrix of appropriate order. Using the fact that distance matrices in Euclidean space are nondegenerate, several inequalities are derived for solving the system of linear equations whose matrix is a given distance matrix.
Similar content being viewed by others
References
A. M. Babaliev, “On a method of interpolating a function of several independent variables,” in:Computer Graphics and Its Applications [in Russian], Computer Center of SO AN SSSR, Novosibirsk (1973).
C. A. Micchelli, “Interpolation of scattered data: distance matrices and conditionally positive definite functions,”Constr. Approx.,2, 11–22 (1986).
M. Marcus and T. R. Smith, “A note on the determinants and eigenvalues of distance matrices,”Linear and Multilinear Algebra,25, 219–230 (1989).
J. S. Hadamard, Leçons de géométrieélémentaire, Vol. I, II, A. Colin, Paris (1932, 1937).
Author information
Authors and Affiliations
Additional information
Translated fromMatematicheskie Zametki, Vol. 58, No. 1, pp. 127–138, July, 1995.
Rights and permissions
About this article
Cite this article
Ertel, S.M. Distance matrices for points on a line, on a circle, and at the vertices of ann-dimensional cube. Math Notes 58, 762–769 (1995). https://doi.org/10.1007/BF02306186
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF02306186