Distance matrices perturbed by Laplacians

Balaji Ramamurthy; Ravindra Bhalchandra Bapat; Shivani Goel

Applications of Mathematics (2020)

  • Volume: 65, Issue: 5, page 599-607
  • ISSN: 0862-7940

Abstract

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Let T be a tree with n vertices. To each edge of T we assign a weight which is a positive definite matrix of some fixed order, say, s . Let D i j denote the sum of all the weights lying in the path connecting the vertices i and j of T . We now say that D i j is the distance between i and j . Define D : = [ D i j ] , where D i i is the s × s null matrix and for i j , D i j is the distance between i and j . Let G be an arbitrary connected weighted graph with n vertices, where each weight is a positive definite matrix of order s . If i and j are adjacent, then define L i j : = - W i j - 1 , where W i j is the weight of the edge ( i , j ) . Define L i i : = i j , j = 1 n W i j - 1 . The Laplacian of G is now the n s × n s block matrix L : = [ L i j ] . In this paper, we first note that D - 1 - L is always nonsingular and then we prove that D and its perturbation ( D - 1 - L ) - 1 have many interesting properties in common.

How to cite

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Ramamurthy, Balaji, Bapat, Ravindra Bhalchandra, and Goel, Shivani. "Distance matrices perturbed by Laplacians." Applications of Mathematics 65.5 (2020): 599-607. <http://eudml.org/doc/296973>.

@article{Ramamurthy2020,
abstract = {Let $T$ be a tree with $n$ vertices. To each edge of $T$ we assign a weight which is a positive definite matrix of some fixed order, say, $s$. Let $D_\{ij\}$ denote the sum of all the weights lying in the path connecting the vertices $i$ and $j$ of $T$. We now say that $D_\{ij\}$ is the distance between $i$ and $j$. Define $D:=[D_\{ij\}]$, where $D_\{ii\}$ is the $s \times s$ null matrix and for $i \ne j$, $D_\{ij\}$ is the distance between $i$ and $j$. Let $G$ be an arbitrary connected weighted graph with $n$ vertices, where each weight is a positive definite matrix of order $s$. If $i$ and $j$ are adjacent, then define $L_\{ij\}:=-W_\{ij\}^\{-1\}$, where $W_\{ij\}$ is the weight of the edge $(i,j)$. Define $L_\{ii\}:=\sum _\{i \ne j,j=1\}^\{n\}W_\{ij\}^\{-1\}$. The Laplacian of $G$ is now the $ns \times ns$ block matrix $L:=[L_\{ij\}]$. In this paper, we first note that $D^\{-1\}-L$ is always nonsingular and then we prove that $D$ and its perturbation $(D^\{-1\}-L)^\{-1\}$ have many interesting properties in common.},
author = {Ramamurthy, Balaji, Bapat, Ravindra Bhalchandra, Goel, Shivani},
journal = {Applications of Mathematics},
keywords = {tree; Laplacian matrix; inertia; Haynsworth formula},
language = {eng},
number = {5},
pages = {599-607},
publisher = {Institute of Mathematics, Academy of Sciences of the Czech Republic},
title = {Distance matrices perturbed by Laplacians},
url = {http://eudml.org/doc/296973},
volume = {65},
year = {2020},
}

TY - JOUR
AU - Ramamurthy, Balaji
AU - Bapat, Ravindra Bhalchandra
AU - Goel, Shivani
TI - Distance matrices perturbed by Laplacians
JO - Applications of Mathematics
PY - 2020
PB - Institute of Mathematics, Academy of Sciences of the Czech Republic
VL - 65
IS - 5
SP - 599
EP - 607
AB - Let $T$ be a tree with $n$ vertices. To each edge of $T$ we assign a weight which is a positive definite matrix of some fixed order, say, $s$. Let $D_{ij}$ denote the sum of all the weights lying in the path connecting the vertices $i$ and $j$ of $T$. We now say that $D_{ij}$ is the distance between $i$ and $j$. Define $D:=[D_{ij}]$, where $D_{ii}$ is the $s \times s$ null matrix and for $i \ne j$, $D_{ij}$ is the distance between $i$ and $j$. Let $G$ be an arbitrary connected weighted graph with $n$ vertices, where each weight is a positive definite matrix of order $s$. If $i$ and $j$ are adjacent, then define $L_{ij}:=-W_{ij}^{-1}$, where $W_{ij}$ is the weight of the edge $(i,j)$. Define $L_{ii}:=\sum _{i \ne j,j=1}^{n}W_{ij}^{-1}$. The Laplacian of $G$ is now the $ns \times ns$ block matrix $L:=[L_{ij}]$. In this paper, we first note that $D^{-1}-L$ is always nonsingular and then we prove that $D$ and its perturbation $(D^{-1}-L)^{-1}$ have many interesting properties in common.
LA - eng
KW - tree; Laplacian matrix; inertia; Haynsworth formula
UR - http://eudml.org/doc/296973
ER -

References

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  1. Balaji, R., Bapat, R. B., 10.13001/1081-3810.1213, Electron. J. Linear Algebra 16 (2007), 435-443. (2007) Zbl1148.15016MR2365897DOI10.13001/1081-3810.1213
  2. Bapat, R. B., 10.1016/j.laa.2005.02.022, Linear Algebra Appl. 416 (2006), 2-7. (2006) Zbl1108.15006MR2232916DOI10.1016/j.laa.2005.02.022
  3. Bapat, R., Kirkland, S. J., Neumann, M., 10.1016/j.laa.2004.05.011, Linear Algebra Appl. 401 (2005), 193-209. (2005) Zbl1064.05097MR2133282DOI10.1016/j.laa.2004.05.011
  4. Fiedler, M., 10.1017/CBO9780511973611, Encyclopedia of Mathematics and Its Applications 139. Cambridge University Press, Cambridge (2011). (2011) Zbl1225.51017MR2761077DOI10.1017/CBO9780511973611
  5. Fiedler, M., Markham, T. L., 10.1016/0024-3795(86)90125-4, Linear Algebra Appl. 74 (1986), 225-237. (1986) Zbl0592.15002MR0822149DOI10.1016/0024-3795(86)90125-4

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