https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 On quotient digraphs and voltage digraphs https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30377 α . We prove that all the eigenvalues of ⌈ (including multiplicities) are, in addition, eigenvalues of ⌈α. This study is carried out by introducing several reduced matrix representations of ⌈α. As an example of our techniques, we study some basic properties of the Alegre digraph and its base.]]> Wed 11 Apr 2018 14:19:34 AEST ]]> Construction of new larger (a, d)-edge antimagic vertex graphs by using adjacency matrices https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22239 0, d ≥ 0. An (a, d)-edge antimagic total ((a, d)-EAT) labeling is a one-toone mapping f from V ∪ E onto {1, 2,...,∣V∣ + ∣E∣} with the property that for every edge xy ∈ E, the edge-weight set is equal to {f(x)+f(y)+ f(xy): x, y ∈ V, xy ∈ E} = {a, a+d, a+2d,..., a+(∣E∣-1)d}, where a > 0, d ≥ 0 are two fixed integers. Such a labeling is called a super (a, d)- edge antimagic total ((a, d)-SEAT) labeling if f(V) = {1, 2,...,∣V∣}. A graph that has an (a, d)-EAV ((a, d)-EAT or (a, d)-SEAT) labeling is called an (a, d)-EAV ((a, d)-EAT or (a, d)-SEAT) graph. For an (a, d)- EAV (or (a, d)-SEAT) graph G, an adjacency matrix of G is ∣V∣ × ∣V∣ matrix AG = [aij] such that the entry aij is 1 if there is an edge from vertex with index i to vertex with index j, and entry aij is 0 otherwise. This paper shows the construction of new larger (a, d)-EAV graph from an existing (a, d)-EAV graph using the adjacency matrix, for d = 1, 2. The results will be extended for (a, d)-SEAT graphs with d = 0, 1, 2, 3.]]> Wed 11 Apr 2018 13:24:44 AEST ]]>