
The paper continues the study of the signed total domination in graphs which was started by the reviewer. Let \(G\) be a graph with vertex set \(V\). For each \(v\in V\) let \(N(v)\) be the open neighbourhood of \(v\) in \(G\), i.e. the set of all vertices adjacent to \(v\) in \(G\). If \(f\) is a mapping of \(V\) into a number set and \(S\subseteq V\), then \(f(S)= \sum_{X\in V} f(x)\). The sum \(w(f)= f(V)\) is the weight of \(f\). A function \(f: V\to \{-1,1\}\) is called a signed total dominating function on \(G\) (shortly STDF), if \(f(N(v))\geq 1\) for each \(v\in G\). It is minimal, if no \(g< f\) is a STDF. The minimum weight of an STDF on \(G\) is the signed total domination number \(\gamma^s_t(G)\) of \(G\). The maximum weight of a minimal STDF on \(G\) is the upper signed total domination number \(\Gamma^s_t(G)\) of \(G\). The paper presents bounds for these numbers in terms of the minimum degree \(\delta\) and the maximum degree \(\Delta\). Special attention is paid to regular graphs, trees and bipartite graphs. The problem of recognizing whether \(\gamma^s_t(H)\leq j\) for a given graph \(H\) and positive integer \(j\) is proved to be NP-complete.
Extremal problems in graph theory, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), upper signed total domination number, Discrete Mathematics and Combinatorics, Theoretical Computer Science
Extremal problems in graph theory, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), upper signed total domination number, Discrete Mathematics and Combinatorics, Theoretical Computer Science
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 35 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
