9 research outputs found

    Exponential Domination in Subcubic Graphs

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    As a natural variant of domination in graphs, Dankelmann et al. [Domination with exponential decay, Discrete Math. 309 (2009) 5877-5883] introduce exponential domination, where vertices are considered to have some dominating power that decreases exponentially with the distance, and the dominated vertices have to accumulate a sufficient amount of this power emanating from the dominating vertices. More precisely, if SS is a set of vertices of a graph GG, then SS is an exponential dominating set of GG if vS(12)dist(G,S)(u,v)11\sum\limits_{v\in S}\left(\frac{1}{2}\right)^{{\rm dist}_{(G,S)}(u,v)-1}\geq 1 for every vertex uu in V(G)SV(G)\setminus S, where dist(G,S)(u,v){\rm dist}_{(G,S)}(u,v) is the distance between uV(G)Su\in V(G)\setminus S and vSv\in S in the graph G(S{v})G-(S\setminus \{ v\}). The exponential domination number γe(G)\gamma_e(G) of GG is the minimum order of an exponential dominating set of GG. In the present paper we study exponential domination in subcubic graphs. Our results are as follows: If GG is a connected subcubic graph of order n(G)n(G), then n(G)6log2(n(G)+2)+4γe(G)13(n(G)+2).\frac{n(G)}{6\log_2(n(G)+2)+4}\leq \gamma_e(G)\leq \frac{1}{3}(n(G)+2). For every ϵ>0\epsilon>0, there is some gg such that γe(G)ϵn(G)\gamma_e(G)\leq \epsilon n(G) for every cubic graph GG of girth at least gg. For every 0<α<23ln(2)0<\alpha<\frac{2}{3\ln(2)}, there are infinitely many cubic graphs GG with γe(G)3n(G)ln(n(G))α\gamma_e(G)\leq \frac{3n(G)}{\ln(n(G))^{\alpha}}. If TT is a subcubic tree, then γe(T)16(n(T)+2).\gamma_e(T)\geq \frac{1}{6}(n(T)+2). For a given subcubic tree, γe(T)\gamma_e(T) can be determined in polynomial time. The minimum exponential dominating set problem is APX-hard for subcubic graphs

    Edge Roman domination on graphs

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    An edge Roman dominating function of a graph GG is a function f ⁣:E(G){0,1,2}f\colon E(G) \rightarrow \{0,1,2\} satisfying the condition that every edge ee with f(e)=0f(e)=0 is adjacent to some edge ee' with f(e)=2f(e')=2. The edge Roman domination number of GG, denoted by γR(G)\gamma'_R(G), is the minimum weight w(f)=eE(G)f(e)w(f) = \sum_{e\in E(G)} f(e) of an edge Roman dominating function ff of GG. This paper disproves a conjecture of Akbari, Ehsani, Ghajar, Jalaly Khalilabadi and Sadeghian Sadeghabad stating that if GG is a graph of maximum degree Δ\Delta on nn vertices, then γR(G)ΔΔ+1n\gamma_R'(G) \le \lceil \frac{\Delta}{\Delta+1} n \rceil. While the counterexamples having the edge Roman domination numbers 2Δ22Δ1n\frac{2\Delta-2}{2\Delta-1} n, we prove that 2Δ22Δ1n+22Δ1\frac{2\Delta-2}{2\Delta-1} n + \frac{2}{2\Delta-1} is an upper bound for connected graphs. Furthermore, we provide an upper bound for the edge Roman domination number of kk-degenerate graphs, which generalizes results of Akbari, Ehsani, Ghajar, Jalaly Khalilabadi and Sadeghian Sadeghabad. We also prove a sharp upper bound for subcubic graphs. In addition, we prove that the edge Roman domination numbers of planar graphs on nn vertices is at most 67n\frac{6}{7}n, which confirms a conjecture of Akbari and Qajar. We also show an upper bound for graphs of girth at least five that is 2-cell embeddable in surfaces of small genus. Finally, we prove an upper bound for graphs that do not contain K2,3K_{2,3} as a subdivision, which generalizes a result of Akbari and Qajar on outerplanar graphs

    On the Roman domination in the lexicographic product of graphs

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    AbstractA Roman dominating function of a graph G=(V,E) is a function f:V→{0,1,2} such that every vertex with f(v)=0 is adjacent to some vertex with f(v)=2. The Roman domination number of G is the minimum of w(f)=∑v∈Vf(v) over all such functions. Using a new concept of the so-called dominating couple we establish the Roman domination number of the lexicographic product of graphs. We also characterize Roman graphs among the lexicographic product of graphs

    Grundy dominating sequences and zero forcing sets

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    In a graph GG a sequence v1,v2,,vmv_1,v_2,\dots,v_m of vertices is Grundy dominating if for all 2im2\le i \le m we have N[vi]⊈j=1i1N[vj]N[v_i]\not\subseteq \cup_{j=1}^{i-1}N[v_j] and is Grundy total dominating if for all 2im2\le i \le m we have N(vi)⊈j=1i1N(vj)N(v_i)\not\subseteq \cup_{j=1}^{i-1}N(v_j). The length of the longest Grundy (total) dominating sequence has been studied by several authors. In this paper we introduce two similar concepts when the requirement on the neighborhoods is changed to N(vi)⊈j=1i1N[vj]N(v_i)\not\subseteq \cup_{j=1}^{i-1}N[v_j] or N[vi]⊈j=1i1N(vj)N[v_i]\not\subseteq \cup_{j=1}^{i-1}N(v_j). In the former case we establish a strong connection to the zero forcing number of a graph, while we determine the complexity of the decision problem in the latter case. We also study the relationships among the four concepts, and discuss their computational complexities

    Protecting a Graph with Mobile Guards

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    Mobile guards on the vertices of a graph are used to defend it against attacks on either its vertices or its edges. Various models for this problem have been proposed. In this survey we describe a number of these models with particular attention to the case when the attack sequence is infinitely long and the guards must induce some particular configuration before each attack, such as a dominating set or a vertex cover. Results from the literature concerning the number of guards needed to successfully defend a graph in each of these problems are surveyed.Comment: 29 pages, two figures, surve

    Bounds on the 2-domination number

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    In a graph G, a set D⊆V(G) is called 2-dominating set if each vertex not in D has at least two neighbors in D. The 2-domination number γ2(G) is the minimum cardinality of such a set D. We give a method for the construction of 2-dominating sets, which also yields upper bounds on the 2-domination number in terms of the number of vertices, if the minimum degree δ(G) is fixed. These improve the best earlier bounds for any 6≤δ(G)≤21. In particular, we prove that γ2(G) is strictly smaller than n/2, if δ(G)≥6. Our proof technique uses a weight-assignment to the vertices where the weights are changed during the procedure. © 2017 Elsevier B.V
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