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Finite symmetric networks and loop removal

Definition

A network consists of a nonempty finite vertex set V and a real matrix A=(Axy)x,y∈V that is symmetric and entrywise nonnegative. A diagonal entry Axx is a loop weight. Its loop-free part is W=A−diag⁡(Axx), where the diagonal matrix has entries Axx and all off-diagonal entries zero. The support graph has vertex set V and edge set {{x,y}:x≠y, Wxy>0}. Define the degree d(x)=∑y∈VAxy, counting the diagonal entry once, and put D=diag⁡(d(x)). The network Laplacian is D−A.

The matrix D−A is also the weighted Laplacian of W: D−A=diag⁡(∑yWxy)−W. A simple unweighted graph is represented by the special case Axx=0 and Axy∈{0,1} for all x,y; its edges are precisely the pairs with Axy=1.

Facts & Assumptions

[F1]

A finite simple graph has edges that are two-element subsets of its vertex set; its adjacency matrix has entry one exactly at adjacent distinct vertices. See A finite simple graph is a finite vertex set together with a set of two-element vertex subsets and The adjacency matrix of a finite simple graph.

[F2]

For a finite symmetric nonnegative matrix with zero diagonal, the weighted Laplacian is the diagonal matrix of row sums minus that matrix, and its support graph has an edge exactly at a positive entry. See Finite weighted graph Laplacian.

[F3]

A finite square matrix over R is a function on a finite square index set; a listing of V identifies a V-indexed real array with such a matrix. See Finite rectangular matrices over a commutative ring, their entries, rows and columns.

[F4]

A sum of real numbers indexed by a finite set is the sum in the additive commutative monoid of R, computed using any enumeration; its value is independent of that enumeration. See A finite sum in a commutative monoid indexed by an arbitrary finite set.

Justification

Given: A network (V,A) as defined above.

Goal: Verify the support-graph and Laplacian constructions and the simple-graph special case.

1.1 Choose a listing V={v1,…,vn}, where n=∣V∣≥1. The array A becomes the square real matrix with entries Avivj; diagonal matrices and matrix differences here are formed entrywise. The row sums in this listing agree with the sums indexed by V and do not depend on the listing. The matrix W is symmetric and nonnegative, has zero diagonal, and has Wxy=Axy for x≠y. Thus its positive off-diagonal entries define an unordered set of two-element subsets of V, and the support graph is a finite simple graph. After any listing of V, W satisfies the hypotheses of the weighted-Laplacian definition. [given, F1, F2, F3, F4]

2.1 For each x, ∑yWxy=d(x)−Axx. Consequently D=diag⁡(∑yWxy)+diag⁡(Axx) and A=W+diag⁡(Axx), so the diagonal terms cancel in D−A. If A has zero diagonal and entries in {0,1}, its support graph has adjacency matrix A in any chosen vertex order; conversely every finite simple graph on nonempty V gives such a matrix. This also shows that the degree d(x) retains a loop weight even though the Laplacian does not. [step 1.1, F1, F2, F3, F4, algebra] ∎

Depends on

Used by · 22

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