Methods for constructing distance matrices and the inverse eigenvalue problem

Citation
Tl. Hayden et al., Methods for constructing distance matrices and the inverse eigenvalue problem, LIN ALG APP, 295(1-3), 1999, pp. 97-112
Citations number
19
Categorie Soggetti
Mathematics
Journal title
LINEAR ALGEBRA AND ITS APPLICATIONS
ISSN journal
00243795 → ACNP
Volume
295
Issue
1-3
Year of publication
1999
Pages
97 - 112
Database
ISI
SICI code
0024-3795(19990701)295:1-3<97:MFCDMA>2.0.ZU;2-#
Abstract
Let D-1 is an element of R-kxk and D-2 is an element of R-lxl be two distan ce matrices. We provide necessary conditions on Z is an element of R-kxl in order that [GRAPHICS] be a distance matrix. We then show that it is always possible to border an n x n distance matrix, with certain scalar multiples of its Perron eigenvec tor, to construct an (n + 1) x (n + 1) distance matrix. We also give necess ary and sufficient conditions for two principal distance matrix blocks Di a nd D2 be used to form a distance matrix as above, where Z is a scalar multi ple of a rank one matrix, formed from their Perron eigenvectors. Finally, w e solve the inverse eigenvalue problem for distance matrices in certain spe cial cases, including n = 3, 4, 5, 6, any n for which there exists a Hadama rd matrix, and some other cases. (C) 1999 Elsevier Science Inc. All rights reserved.