Inversa de matrices circulantes con tres parámetros

Utilizando técnicas relacionadas con la resolución de problemas de contorno para ecuaciones en diferencias de segundo orden, se dan condiciones necesarias y suficientes cientes para la invertibilidad de matrices circulantes que dependen de tres parámetros. En los casos que existe, se da la expresión de los coeficientes de la matriz inversa reduciendo significativamente el coste computacional. Como aplicación, se obtiene la matriz inversa de circulantes cuyos coeficientes son progresiones aritméticas o geométricas entre otros. Se obtiene también, la matriz inversa de una matriz tridiagonal circulante sin necesidad de suponer la hipótesis de dominancia diagonalPeer ReviewedPostprint (author's final draft

Computing the Green function for a Dirichlet problem on spider networks

Postprint (published version

Matrix tree theorem for Schrödinger operators on networks

Postprint (published version

The group inverse of subdivision networks

In this paper, given a network and a subdivision of it, we show how the Group Inverse of the subdivision network can be related to the Group Inverse of initial given network. Our approach establishes a relationship between solutions of related Poisson problems on both networks and takes advantatge on the definition of the Group Inverse matrix.Peer ReviewedPostprint (author's final draft

Minimal contention-free matrices with application to multicasting

In this paper, we show that the multicast problem in trees can be expressed in term of arranging rows and columns of boolean matrices. Given a $p \times q$ matrix $M$ with 0-1 entries, the {\em shadow} of $M$ is defined as a boolean vector $x$ of $q$ entries such that $x_i=0$ if and only if there is no 1-entry in the $i$th column of $M$, and $x_i=1$ otherwise. (The shadow $x$ can also be seen as the binary expression of the integer $x=\sum_{i=1}^{q}x_i 2^{q-i}$. Similarly, every row of $M$ can be seen as the binary expression of an integer.) According to this formalism, the key for solving a multicast problem in trees is shown to be the following. Given a $p \times q$ matrix $M$ with 0-1 entries, finding a matrix $M^*$ such that: 1- $M^*$ has at most one 1-entry per column; 2- every row $r$ of $M^*$ (viewed as the binary expression of an integer) is larger than the corresponding row $r$ of $M$, $1 \leq r \leq p$; and 3- the shadow of $M^*$ (viewed as an integer) is minimum. We show that there is an $O(q(p+q))$ algorithm that returns $M^*$ for any $p \times q$ boolean matrix $M$. The application of this result is the following: Given a {\em directed} tree $T$ whose arcs are oriented from the root toward the leaves, and a subset of nodes $D$, there exists a polynomial-time algorithm that computes an optimal multicast protocol from the root to all nodes of $D$ in the all-port line model.Peer Reviewe

Effective resistances and Kirchhoff index in subdivision networks

We define a subdivision network ¿S of a given network ¿; by inserting a new vertex in every edge, so that each edge is replaced by two new edges with conductances that fulfill electrical conditions on the new network. In this work, we firstly obtain an expression for the Green kernel of the subdivision network in terms of the Green kernel of the base network. Moreover, we also obtain the effective resistance and the Kirchhoff index of the subdivision network in terms of the corresponding parameters on the base network. Finally, as an example, we carry out the computations in the case of a wheel.Peer ReviewedPostprint (author's final draft

The local spectra of regular line graphs

The local spectrum of a graph G = (V, E), constituted by the standard eigenvalues of G and their local multiplicities, plays a similar role as the global spectrum when the graph is “seen” from a given vertex. Thus, for each vertex i ∈ V , the i-local multiplicities of all the eigenvalues add up to 1; whereas the multiplicity of each eigenvalue λ of G is the sum, extended to all vertices, of its local multiplicities. In this work, using the interpretation of an eigenvector as a charge distribution on the vertices, we compute the local spectrum of the line graph LG in terms of the local spectrum of the regular graph G it derives from. Furthermore, some applications of this result are derived as, for instance, some results about the number of circuits of LG

The local spectra of line graphs

The local spectrum of a graph G = (V, E), constituted by the standard eigenvalues of G and their local multiplicities, plays a similar role as the global spectrum when the graph is “seen” from a given vertex. Thus, for each vertex i ∈ V , the i-local multiplicities of all the eigenvalues add up to 1; whereas the multiplicity of each eigenvalue λl ∈ ev G is the sum, extended to all vertices, of its local multiplicities. In this work, using the interpretation of an eigenvector as a charge distribution on the vertices, we compute the local spectrum of the line graph LG in terms of the local spectrum of the (regular o semiregular) graph G it derives from. Furthermore, some applications of this result are derived as, for instance, some results related to the number of cycles

Gossiping in chordal rings under the line model

The line model assumes long distance calls between non neighboring processors. In this sense, the line model is strongly related to circuit-switched networks, wormhole routing, optical networks supporting wavelength division multiplexing, ATM switching, and networks supporting connected mode routing protocols. Since the chordal rings are competitors of networks as meshes or tori because of theirs short diameter and bounded degree, it is of interest to ask whether they can support intensive communications (typically all-to-all) as efficiently as these networks. We propose polynomial algorithms to derive optimal or near optimal gossip protocols in the chordal ring

Green’s kernel for subdivision networks

Postprint (author's final draft