Linear estimation in models based on a graph

Bapat, R. B. (1999) Linear estimation in models based on a graph Linear Algebra and its Applications, 302-303 . pp. 223-230. ISSN 0024-3795

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Official URL: http://www.sciencedirect.com/science/article/pii/S...

Related URL: http://dx.doi.org/10.1016/S0024-3795(99)00093-2

Abstract

Two natural linear models associated with a graph are considered. The Gauss-Markov theorem is used in one of the models to derive a combinatorial formula for the Moore-Penrose inverse of the incidence matrix of a tree. An inequality involving the Moore-Penrose inverse of the Laplacian matrix of a graph and its distance matrix is obtained. The case of equality is discussed. Again the main tool used in the proof is the theory of linear estimation.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Linear Model; Moore-penrose Inverse; Tree; Incidence Matrix; Laplacian Matrix; Distance
ID Code:81583
Deposited On:07 Feb 2012 05:10
Last Modified:07 Feb 2012 05:10

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