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Total Forcing and Zero Forcing in Claw-Free Cubic Graphs

Total forcing and zero forcing in claw-free cubic graphs
Authors: Randy Davila; Michael A. Henning;

Total Forcing and Zero Forcing in Claw-Free Cubic Graphs

Abstract

A dynamic coloring of the vertices of a graph $G$ starts with an initial subset $S$ of colored vertices, with all remaining vertices being non-colored. At each discrete time interval, a colored vertex with exactly one non-colored neighbor forces this non-colored neighbor to be colored. The initial set $S$ is called a forcing set (zero forcing set) of $G$ if, by iteratively applying the forcing process, every vertex in $G$ becomes colored. If the initial set $S$ has the added property that it induces a subgraph of $G$ without isolated vertices, then $S$ is called a total forcing set in $G$. The total forcing number of $G$, denoted $F_t(G)$, is the minimum cardinality of a total forcing set in $G$. We prove that if $G$ is a connected cubic graph of order~$n$ that has a spanning $2$-factor consisting of triangles, then $F_t(G) \le \frac{1}{2}n$. More generally, we prove that if $G$ is a connected, claw-free, cubic graph of order~$n \ge 6$, then $F_t(G) \le \frac{1}{2}n$, where a claw-free graph is a graph that does not contain $K_{1,3}$ as an induced subgraph. The graphs achieving equality in these bounds are characterized.

Related Organizations
Keywords

claw-free, Coloring of graphs and hypergraphs, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), total forcing sets, cubic, FOS: Mathematics, Mathematics - Combinatorics, zero forcing sets, Combinatorics (math.CO), cycle cover

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Top 10%
Green
bronze