SAFE ETERNAL 1-SECURE SETS IN GRAPHS

2021 ◽  
Vol 10 (5) ◽  
pp. 2537-2548
Author(s):  
K.R. Kumar ◽  
E.N. Satheesh

An eternal $1$-secure set, in a graph $G = (V, E)$ is a set $D \subset V$ having the property that for any finite sequence of vertices $r_1, r_2, \ldots, r_k$ there exists a sequence of vertices $v_1, v_2, \ldots, v_k$ and a sequence $ D = D_0, D_1, D_2, \ldots, D_k$ of dominating sets of $G$, such that for each $i$, $1 \leq i \leq k$, $D_{i} = (D_{i-1} - \{v_i\}) \cup \{r_i\}$, where $v_i \in D_{i-1}$ and $r_i \in N[v_i]$. Here $r_i = v_i$ is possible. The cardinality of the smallest eternal $1$-secure set in a graph $G$ is called the eternal $1$-security number of $G$. In this paper we study a variations of eternal $1$-secure sets named safe eternal $1$-secure sets. A vertex $v$ is safe with respect to an eternal $1$-secure set $S$ if $N[v] \bigcap S =1$. An eternal 1 secure set $S$ is a safe eternal 1 secure set if at least one vertex in $G$ is safe with respect to the set $S$. We characterize the class of graphs having safe eternal $1$-secure sets for which all vertices - excluding those in the safe $1$-secure sets - are safe. Also we introduce a new kind of directed graphs which represent the transformation from one safe 1 - secure set to another safe 1-secure set of a given graph and study its properties.

10.37236/753 ◽  
2008 ◽  
Vol 15 (1) ◽  
Author(s):  
Stephen Howe

We analyse an algorithm for finding small dominating sets of $2$-in $2$-out directed graphs using a deprioritised algorithm and differential equations. This deprioritised approach determines an a.a.s. upper bound of $0.39856n$ on the size of the smallest dominating set of a random $2$-in $2$-out digraph on $n$ vertices. Direct expectation arguments determine a corresponding lower bound of $0.3495n$.


2010 ◽  
Vol 180 (19) ◽  
pp. 3647-3652 ◽  
Author(s):  
Chaoyi Pang ◽  
Rui Zhang ◽  
Qing Zhang ◽  
Junhu Wang

10.37236/338 ◽  
2010 ◽  
Vol 17 (1) ◽  
Author(s):  
Péter L. Erdős ◽  
István Miklós ◽  
Zoltán Toroczkai

One of the simplest ways to decide whether a given finite sequence of positive integers can arise as the degree sequence of a simple graph is the greedy algorithm of Havel and Hakimi. This note extends their approach to directed graphs. It also studies cases of some simple forbidden edge-sets. Finally, it proves a result which is useful to design an MCMC algorithm to find random realizations of prescribed directed degree sequences.


Author(s):  
Pious Missier ◽  
Anto Kinsley ◽  
Evangeline Prathibha Fernando
Keyword(s):  

1984 ◽  
Author(s):  
Lawrence A. Rowe ◽  
Michael Davis ◽  
Eli Messinger ◽  
Carl Meyer ◽  
Charles Spirakis
Keyword(s):  

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